2022/07/26 17:24:15 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb by HardDiskBackend. 2022/07/26 17:25:23 - mmengine - INFO - Epoch(train) [1][20/3757] lr: 1.0000e-02 eta: 26 days, 17:21:35 time: 3.4143 data_time: 2.9485 memory: 17007 grad_norm: 36.4543 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0090 loss: 6.0090 2022/07/26 17:25:31 - mmengine - INFO - Epoch(train) [1][40/3757] lr: 1.0000e-02 eta: 14 days, 21:47:19 time: 0.3952 data_time: 0.0179 memory: 17007 grad_norm: 9.0294 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0948 loss: 6.0948 2022/07/26 17:25:39 - mmengine - INFO - Epoch(train) [1][60/3757] lr: 1.0000e-02 eta: 10 days, 22:51:28 time: 0.3887 data_time: 0.0116 memory: 17007 grad_norm: 4.7460 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0209 loss: 6.0209 2022/07/26 17:25:47 - mmengine - INFO - Epoch(train) [1][80/3757] lr: 1.0000e-02 eta: 8 days, 23:42:10 time: 0.3954 data_time: 0.0159 memory: 17007 grad_norm: 3.4407 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 6.0995 loss: 6.0995 2022/07/26 17:25:54 - mmengine - INFO - Epoch(train) [1][100/3757] lr: 1.0000e-02 eta: 7 days, 19:08:33 time: 0.3883 data_time: 0.0127 memory: 17007 grad_norm: 2.8931 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9859 loss: 5.9859 2022/07/26 17:26:08 - mmengine - INFO - Epoch(train) [1][120/3757] lr: 1.0000e-02 eta: 7 days, 8:47:55 time: 0.6661 data_time: 0.2880 memory: 17007 grad_norm: 2.6344 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0410 loss: 6.0410 2022/07/26 17:26:16 - mmengine - INFO - Epoch(train) [1][140/3757] lr: 1.0000e-02 eta: 6 days, 18:13:03 time: 0.3981 data_time: 0.0146 memory: 17007 grad_norm: 2.4367 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0022 loss: 6.0022 2022/07/26 17:26:23 - mmengine - INFO - Epoch(train) [1][160/3757] lr: 1.0000e-02 eta: 6 days, 7:02:01 time: 0.3875 data_time: 0.0118 memory: 17007 grad_norm: 2.2978 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9449 loss: 5.9449 2022/07/26 17:26:31 - mmengine - INFO - Epoch(train) [1][180/3757] lr: 1.0000e-02 eta: 5 days, 22:24:25 time: 0.3910 data_time: 0.0139 memory: 17007 grad_norm: 2.1523 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.9918 loss: 5.9918 2022/07/26 17:26:39 - mmengine - INFO - Epoch(train) [1][200/3757] lr: 1.0000e-02 eta: 5 days, 15:27:25 time: 0.3884 data_time: 0.0140 memory: 17007 grad_norm: 2.1201 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9104 loss: 5.9104 2022/07/26 17:26:47 - mmengine - INFO - Epoch(train) [1][220/3757] lr: 1.0000e-02 eta: 5 days, 9:59:30 time: 0.4014 data_time: 0.0164 memory: 17007 grad_norm: 2.0160 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9422 loss: 5.9422 2022/07/26 17:26:55 - mmengine - INFO - Epoch(train) [1][240/3757] lr: 1.0000e-02 eta: 5 days, 5:14:26 time: 0.3889 data_time: 0.0150 memory: 17007 grad_norm: 1.9795 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8925 loss: 5.8925 2022/07/26 17:27:03 - mmengine - INFO - Epoch(train) [1][260/3757] lr: 1.0000e-02 eta: 5 days, 1:13:05 time: 0.3887 data_time: 0.0147 memory: 17007 grad_norm: 2.0192 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9495 loss: 5.9495 2022/07/26 17:27:10 - mmengine - INFO - Epoch(train) [1][280/3757] lr: 1.0000e-02 eta: 4 days, 21:49:17 time: 0.3925 data_time: 0.0135 memory: 17007 grad_norm: 2.0391 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.9830 loss: 5.9830 2022/07/26 17:27:18 - mmengine - INFO - Epoch(train) [1][300/3757] lr: 1.0000e-02 eta: 4 days, 18:48:45 time: 0.3874 data_time: 0.0148 memory: 17007 grad_norm: 2.0953 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8561 loss: 5.8561 2022/07/26 17:27:26 - mmengine - INFO - Epoch(train) [1][320/3757] lr: 1.0000e-02 eta: 4 days, 16:20:36 time: 0.4013 data_time: 0.0143 memory: 17007 grad_norm: 2.0948 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9219 loss: 5.9219 2022/07/26 17:27:34 - mmengine - INFO - Epoch(train) [1][340/3757] lr: 1.0000e-02 eta: 4 days, 14:01:40 time: 0.3890 data_time: 0.0148 memory: 17007 grad_norm: 2.0857 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9517 loss: 5.9517 2022/07/26 17:27:42 - mmengine - INFO - Epoch(train) [1][360/3757] lr: 1.0000e-02 eta: 4 days, 11:57:26 time: 0.3878 data_time: 0.0116 memory: 17007 grad_norm: 2.1699 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.8795 loss: 5.8795 2022/07/26 17:27:50 - mmengine - INFO - Epoch(train) [1][380/3757] lr: 1.0000e-02 eta: 4 days, 10:08:30 time: 0.3916 data_time: 0.0149 memory: 17007 grad_norm: 2.1312 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8507 loss: 5.8507 2022/07/26 17:27:57 - mmengine - INFO - Epoch(train) [1][400/3757] lr: 1.0000e-02 eta: 4 days, 8:28:52 time: 0.3888 data_time: 0.0133 memory: 17007 grad_norm: 2.3100 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9165 loss: 5.9165 2022/07/26 17:28:05 - mmengine - INFO - Epoch(train) [1][420/3757] lr: 1.0000e-02 eta: 4 days, 7:06:48 time: 0.4039 data_time: 0.0161 memory: 17007 grad_norm: 2.2045 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8730 loss: 5.8730 2022/07/26 17:28:13 - mmengine - INFO - Epoch(train) [1][440/3757] lr: 1.0000e-02 eta: 4 days, 5:44:26 time: 0.3887 data_time: 0.0139 memory: 17007 grad_norm: 2.1919 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8841 loss: 5.8841 2022/07/26 17:28:21 - mmengine - INFO - Epoch(train) [1][460/3757] lr: 1.0000e-02 eta: 4 days, 4:30:07 time: 0.3906 data_time: 0.0149 memory: 17007 grad_norm: 2.1416 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7723 loss: 5.7723 2022/07/26 17:28:29 - mmengine - INFO - Epoch(train) [1][480/3757] lr: 1.0000e-02 eta: 4 days, 3:21:48 time: 0.3902 data_time: 0.0164 memory: 17007 grad_norm: 2.0840 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9320 loss: 5.9320 2022/07/26 17:28:37 - mmengine - INFO - Epoch(train) [1][500/3757] lr: 1.0000e-02 eta: 4 days, 2:18:15 time: 0.3887 data_time: 0.0143 memory: 17007 grad_norm: 2.0909 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8011 loss: 5.8011 2022/07/26 17:28:44 - mmengine - INFO - Epoch(train) [1][520/3757] lr: 1.0000e-02 eta: 4 days, 1:19:02 time: 0.3874 data_time: 0.0142 memory: 17007 grad_norm: 2.2169 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.7632 loss: 5.7632 2022/07/26 17:28:52 - mmengine - INFO - Epoch(train) [1][540/3757] lr: 1.0000e-02 eta: 4 days, 0:25:20 time: 0.3901 data_time: 0.0161 memory: 17007 grad_norm: 2.2197 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7815 loss: 5.7815 2022/07/26 17:29:00 - mmengine - INFO - Epoch(train) [1][560/3757] lr: 1.0000e-02 eta: 3 days, 23:34:31 time: 0.3878 data_time: 0.0131 memory: 17007 grad_norm: 2.2136 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7490 loss: 5.7490 2022/07/26 17:29:08 - mmengine - INFO - Epoch(train) [1][580/3757] lr: 1.0000e-02 eta: 3 days, 22:49:19 time: 0.3933 data_time: 0.0163 memory: 17007 grad_norm: 2.3056 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8210 loss: 5.8210 2022/07/26 17:29:16 - mmengine - INFO - Epoch(train) [1][600/3757] lr: 1.0000e-02 eta: 3 days, 22:05:27 time: 0.3888 data_time: 0.0126 memory: 17007 grad_norm: 2.1665 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7311 loss: 5.7311 2022/07/26 17:29:24 - mmengine - INFO - Epoch(train) [1][620/3757] lr: 1.0000e-02 eta: 3 days, 21:29:34 time: 0.4030 data_time: 0.0192 memory: 17007 grad_norm: 2.1108 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8024 loss: 5.8024 2022/07/26 17:29:31 - mmengine - INFO - Epoch(train) [1][640/3757] lr: 1.0000e-02 eta: 3 days, 20:51:25 time: 0.3902 data_time: 0.0133 memory: 17007 grad_norm: 2.1553 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6698 loss: 5.6698 2022/07/26 17:29:39 - mmengine - INFO - Epoch(train) [1][660/3757] lr: 1.0000e-02 eta: 3 days, 20:17:48 time: 0.3967 data_time: 0.0157 memory: 17007 grad_norm: 2.2085 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7582 loss: 5.7582 2022/07/26 17:29:47 - mmengine - INFO - Epoch(train) [1][680/3757] lr: 1.0000e-02 eta: 3 days, 19:44:20 time: 0.3912 data_time: 0.0142 memory: 17007 grad_norm: 2.1027 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8396 loss: 5.8396 2022/07/26 17:29:55 - mmengine - INFO - Epoch(train) [1][700/3757] lr: 1.0000e-02 eta: 3 days, 19:12:24 time: 0.3901 data_time: 0.0157 memory: 17007 grad_norm: 2.1696 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7456 loss: 5.7456 2022/07/26 17:30:03 - mmengine - INFO - Epoch(train) [1][720/3757] lr: 1.0000e-02 eta: 3 days, 18:41:48 time: 0.3887 data_time: 0.0131 memory: 17007 grad_norm: 2.3084 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7226 loss: 5.7226 2022/07/26 17:30:11 - mmengine - INFO - Epoch(train) [1][740/3757] lr: 1.0000e-02 eta: 3 days, 18:13:05 time: 0.3895 data_time: 0.0146 memory: 17007 grad_norm: 2.2490 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8059 loss: 5.8059 2022/07/26 17:30:20 - mmengine - INFO - Epoch(train) [1][760/3757] lr: 1.0000e-02 eta: 3 days, 18:05:27 time: 0.4556 data_time: 0.0719 memory: 17007 grad_norm: 2.2618 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7783 loss: 5.7783 2022/07/26 17:30:27 - mmengine - INFO - Epoch(train) [1][780/3757] lr: 1.0000e-02 eta: 3 days, 17:39:43 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 2.2459 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7417 loss: 5.7417 2022/07/26 17:30:35 - mmengine - INFO - Epoch(train) [1][800/3757] lr: 1.0000e-02 eta: 3 days, 17:15:03 time: 0.3908 data_time: 0.0146 memory: 17007 grad_norm: 2.3105 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6052 loss: 5.6052 2022/07/26 17:30:43 - mmengine - INFO - Epoch(train) [1][820/3757] lr: 1.0000e-02 eta: 3 days, 16:51:04 time: 0.3889 data_time: 0.0151 memory: 17007 grad_norm: 2.1749 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8457 loss: 5.8457 2022/07/26 17:30:51 - mmengine - INFO - Epoch(train) [1][840/3757] lr: 1.0000e-02 eta: 3 days, 16:29:05 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 2.2143 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7383 loss: 5.7383 2022/07/26 17:30:59 - mmengine - INFO - Epoch(train) [1][860/3757] lr: 1.0000e-02 eta: 3 days, 16:08:13 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 2.2836 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.7461 loss: 5.7461 2022/07/26 17:31:07 - mmengine - INFO - Epoch(train) [1][880/3757] lr: 1.0000e-02 eta: 3 days, 15:47:55 time: 0.3910 data_time: 0.0141 memory: 17007 grad_norm: 2.2839 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7314 loss: 5.7314 2022/07/26 17:31:14 - mmengine - INFO - Epoch(train) [1][900/3757] lr: 1.0000e-02 eta: 3 days, 15:28:17 time: 0.3901 data_time: 0.0159 memory: 17007 grad_norm: 2.2100 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.7575 loss: 5.7575 2022/07/26 17:31:22 - mmengine - INFO - Epoch(train) [1][920/3757] lr: 1.0000e-02 eta: 3 days, 15:09:25 time: 0.3898 data_time: 0.0127 memory: 17007 grad_norm: 2.2420 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.7202 loss: 5.7202 2022/07/26 17:31:31 - mmengine - INFO - Epoch(train) [1][940/3757] lr: 1.0000e-02 eta: 3 days, 15:00:04 time: 0.4262 data_time: 0.0152 memory: 17007 grad_norm: 2.2718 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6964 loss: 5.6964 2022/07/26 17:31:39 - mmengine - INFO - Epoch(train) [1][960/3757] lr: 1.0000e-02 eta: 3 days, 14:42:21 time: 0.3889 data_time: 0.0151 memory: 17007 grad_norm: 2.3188 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7751 loss: 5.7751 2022/07/26 17:31:46 - mmengine - INFO - Epoch(train) [1][980/3757] lr: 1.0000e-02 eta: 3 days, 14:26:48 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 2.2196 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6849 loss: 5.6849 2022/07/26 17:31:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 17:31:54 - mmengine - INFO - Epoch(train) [1][1000/3757] lr: 1.0000e-02 eta: 3 days, 14:10:24 time: 0.3887 data_time: 0.0125 memory: 17007 grad_norm: 2.3177 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6948 loss: 5.6948 2022/07/26 17:32:02 - mmengine - INFO - Epoch(train) [1][1020/3757] lr: 1.0000e-02 eta: 3 days, 13:55:06 time: 0.3908 data_time: 0.0155 memory: 17007 grad_norm: 2.2885 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6605 loss: 5.6605 2022/07/26 17:32:10 - mmengine - INFO - Epoch(train) [1][1040/3757] lr: 1.0000e-02 eta: 3 days, 13:41:36 time: 0.3963 data_time: 0.0137 memory: 17007 grad_norm: 2.4203 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.7425 loss: 5.7425 2022/07/26 17:32:18 - mmengine - INFO - Epoch(train) [1][1060/3757] lr: 1.0000e-02 eta: 3 days, 13:28:03 time: 0.3938 data_time: 0.0175 memory: 17007 grad_norm: 2.4205 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6407 loss: 5.6407 2022/07/26 17:32:26 - mmengine - INFO - Epoch(train) [1][1080/3757] lr: 1.0000e-02 eta: 3 days, 13:15:37 time: 0.3968 data_time: 0.0121 memory: 17007 grad_norm: 2.4221 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.6626 loss: 5.6626 2022/07/26 17:32:34 - mmengine - INFO - Epoch(train) [1][1100/3757] lr: 1.0000e-02 eta: 3 days, 13:02:16 time: 0.3901 data_time: 0.0159 memory: 17007 grad_norm: 2.4981 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6953 loss: 5.6953 2022/07/26 17:32:41 - mmengine - INFO - Epoch(train) [1][1120/3757] lr: 1.0000e-02 eta: 3 days, 12:50:04 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 2.3250 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6808 loss: 5.6808 2022/07/26 17:32:49 - mmengine - INFO - Epoch(train) [1][1140/3757] lr: 1.0000e-02 eta: 3 days, 12:39:06 time: 0.3975 data_time: 0.0151 memory: 17007 grad_norm: 2.3166 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.6507 loss: 5.6507 2022/07/26 17:32:57 - mmengine - INFO - Epoch(train) [1][1160/3757] lr: 1.0000e-02 eta: 3 days, 12:27:22 time: 0.3917 data_time: 0.0149 memory: 17007 grad_norm: 2.4083 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7228 loss: 5.7228 2022/07/26 17:33:05 - mmengine - INFO - Epoch(train) [1][1180/3757] lr: 1.0000e-02 eta: 3 days, 12:15:44 time: 0.3902 data_time: 0.0153 memory: 17007 grad_norm: 2.3490 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6053 loss: 5.6053 2022/07/26 17:33:13 - mmengine - INFO - Epoch(train) [1][1200/3757] lr: 1.0000e-02 eta: 3 days, 12:04:21 time: 0.3895 data_time: 0.0150 memory: 17007 grad_norm: 2.5440 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5605 loss: 5.5605 2022/07/26 17:33:21 - mmengine - INFO - Epoch(train) [1][1220/3757] lr: 1.0000e-02 eta: 3 days, 11:53:44 time: 0.3916 data_time: 0.0162 memory: 17007 grad_norm: 2.5002 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6659 loss: 5.6659 2022/07/26 17:33:28 - mmengine - INFO - Epoch(train) [1][1240/3757] lr: 1.0000e-02 eta: 3 days, 11:43:35 time: 0.3923 data_time: 0.0146 memory: 17007 grad_norm: 2.3646 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6786 loss: 5.6786 2022/07/26 17:33:36 - mmengine - INFO - Epoch(train) [1][1260/3757] lr: 1.0000e-02 eta: 3 days, 11:33:45 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 2.3785 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.6317 loss: 5.6317 2022/07/26 17:33:44 - mmengine - INFO - Epoch(train) [1][1280/3757] lr: 1.0000e-02 eta: 3 days, 11:23:43 time: 0.3894 data_time: 0.0135 memory: 17007 grad_norm: 2.3582 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6486 loss: 5.6486 2022/07/26 17:33:52 - mmengine - INFO - Epoch(train) [1][1300/3757] lr: 1.0000e-02 eta: 3 days, 11:16:01 time: 0.4012 data_time: 0.0179 memory: 17007 grad_norm: 2.3836 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5884 loss: 5.5884 2022/07/26 17:34:00 - mmengine - INFO - Epoch(train) [1][1320/3757] lr: 1.0000e-02 eta: 3 days, 11:06:34 time: 0.3895 data_time: 0.0139 memory: 17007 grad_norm: 2.5739 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5731 loss: 5.5731 2022/07/26 17:34:08 - mmengine - INFO - Epoch(train) [1][1340/3757] lr: 1.0000e-02 eta: 3 days, 10:58:33 time: 0.3965 data_time: 0.0161 memory: 17007 grad_norm: 2.4057 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7870 loss: 5.7870 2022/07/26 17:34:16 - mmengine - INFO - Epoch(train) [1][1360/3757] lr: 1.0000e-02 eta: 3 days, 10:49:37 time: 0.3895 data_time: 0.0129 memory: 17007 grad_norm: 2.2682 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6551 loss: 5.6551 2022/07/26 17:34:23 - mmengine - INFO - Epoch(train) [1][1380/3757] lr: 1.0000e-02 eta: 3 days, 10:41:04 time: 0.3903 data_time: 0.0152 memory: 17007 grad_norm: 2.4382 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.6392 loss: 5.6392 2022/07/26 17:34:31 - mmengine - INFO - Epoch(train) [1][1400/3757] lr: 1.0000e-02 eta: 3 days, 10:33:52 time: 0.3971 data_time: 0.0126 memory: 17007 grad_norm: 2.3958 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6023 loss: 5.6023 2022/07/26 17:34:39 - mmengine - INFO - Epoch(train) [1][1420/3757] lr: 1.0000e-02 eta: 3 days, 10:26:15 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 2.3014 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6091 loss: 5.6091 2022/07/26 17:34:47 - mmengine - INFO - Epoch(train) [1][1440/3757] lr: 1.0000e-02 eta: 3 days, 10:18:15 time: 0.3895 data_time: 0.0131 memory: 17007 grad_norm: 2.2948 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6682 loss: 5.6682 2022/07/26 17:34:55 - mmengine - INFO - Epoch(train) [1][1460/3757] lr: 1.0000e-02 eta: 3 days, 10:10:28 time: 0.3895 data_time: 0.0156 memory: 17007 grad_norm: 2.4075 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5192 loss: 5.5192 2022/07/26 17:35:03 - mmengine - INFO - Epoch(train) [1][1480/3757] lr: 1.0000e-02 eta: 3 days, 10:03:47 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 2.4366 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.7138 loss: 5.7138 2022/07/26 17:35:12 - mmengine - INFO - Epoch(train) [1][1500/3757] lr: 1.0000e-02 eta: 3 days, 10:07:25 time: 0.4630 data_time: 0.0854 memory: 17007 grad_norm: 2.4460 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6935 loss: 5.6935 2022/07/26 17:35:20 - mmengine - INFO - Epoch(train) [1][1520/3757] lr: 1.0000e-02 eta: 3 days, 10:00:44 time: 0.3939 data_time: 0.0143 memory: 17007 grad_norm: 2.4718 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6025 loss: 5.6025 2022/07/26 17:35:28 - mmengine - INFO - Epoch(train) [1][1540/3757] lr: 1.0000e-02 eta: 3 days, 9:54:14 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 2.4776 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.6614 loss: 5.6614 2022/07/26 17:35:36 - mmengine - INFO - Epoch(train) [1][1560/3757] lr: 1.0000e-02 eta: 3 days, 9:47:24 time: 0.3906 data_time: 0.0146 memory: 17007 grad_norm: 2.5765 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.6302 loss: 5.6302 2022/07/26 17:35:43 - mmengine - INFO - Epoch(train) [1][1580/3757] lr: 1.0000e-02 eta: 3 days, 9:40:48 time: 0.3911 data_time: 0.0181 memory: 17007 grad_norm: 2.3380 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6168 loss: 5.6168 2022/07/26 17:35:51 - mmengine - INFO - Epoch(train) [1][1600/3757] lr: 1.0000e-02 eta: 3 days, 9:34:28 time: 0.3918 data_time: 0.0138 memory: 17007 grad_norm: 2.4422 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6304 loss: 5.6304 2022/07/26 17:35:59 - mmengine - INFO - Epoch(train) [1][1620/3757] lr: 1.0000e-02 eta: 3 days, 9:29:12 time: 0.3985 data_time: 0.0165 memory: 17007 grad_norm: 2.4383 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5021 loss: 5.5021 2022/07/26 17:36:07 - mmengine - INFO - Epoch(train) [1][1640/3757] lr: 1.0000e-02 eta: 3 days, 9:22:44 time: 0.3887 data_time: 0.0129 memory: 17007 grad_norm: 2.4831 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.6420 loss: 5.6420 2022/07/26 17:36:15 - mmengine - INFO - Epoch(train) [1][1660/3757] lr: 1.0000e-02 eta: 3 days, 9:16:48 time: 0.3915 data_time: 0.0168 memory: 17007 grad_norm: 2.3869 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4578 loss: 5.4578 2022/07/26 17:36:23 - mmengine - INFO - Epoch(train) [1][1680/3757] lr: 1.0000e-02 eta: 3 days, 9:11:43 time: 0.3968 data_time: 0.0133 memory: 17007 grad_norm: 2.4807 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5087 loss: 5.5087 2022/07/26 17:36:31 - mmengine - INFO - Epoch(train) [1][1700/3757] lr: 1.0000e-02 eta: 3 days, 9:05:53 time: 0.3903 data_time: 0.0150 memory: 17007 grad_norm: 2.4727 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5646 loss: 5.5646 2022/07/26 17:36:38 - mmengine - INFO - Epoch(train) [1][1720/3757] lr: 1.0000e-02 eta: 3 days, 9:00:51 time: 0.3955 data_time: 0.0147 memory: 17007 grad_norm: 2.3742 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4933 loss: 5.4933 2022/07/26 17:36:46 - mmengine - INFO - Epoch(train) [1][1740/3757] lr: 1.0000e-02 eta: 3 days, 8:55:22 time: 0.3910 data_time: 0.0157 memory: 17007 grad_norm: 2.4769 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6243 loss: 5.6243 2022/07/26 17:36:54 - mmengine - INFO - Epoch(train) [1][1760/3757] lr: 1.0000e-02 eta: 3 days, 8:49:41 time: 0.3885 data_time: 0.0127 memory: 17007 grad_norm: 2.5440 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6869 loss: 5.6869 2022/07/26 17:37:02 - mmengine - INFO - Epoch(train) [1][1780/3757] lr: 1.0000e-02 eta: 3 days, 8:45:47 time: 0.4017 data_time: 0.0165 memory: 17007 grad_norm: 2.4186 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.5279 loss: 5.5279 2022/07/26 17:37:10 - mmengine - INFO - Epoch(train) [1][1800/3757] lr: 1.0000e-02 eta: 3 days, 8:40:25 time: 0.3892 data_time: 0.0136 memory: 17007 grad_norm: 2.4836 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5169 loss: 5.5169 2022/07/26 17:37:18 - mmengine - INFO - Epoch(train) [1][1820/3757] lr: 1.0000e-02 eta: 3 days, 8:36:05 time: 0.3968 data_time: 0.0156 memory: 17007 grad_norm: 2.4739 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6246 loss: 5.6246 2022/07/26 17:37:26 - mmengine - INFO - Epoch(train) [1][1840/3757] lr: 1.0000e-02 eta: 3 days, 8:30:58 time: 0.3894 data_time: 0.0140 memory: 17007 grad_norm: 2.3788 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6155 loss: 5.6155 2022/07/26 17:37:33 - mmengine - INFO - Epoch(train) [1][1860/3757] lr: 1.0000e-02 eta: 3 days, 8:26:14 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 2.5111 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4702 loss: 5.4702 2022/07/26 17:37:41 - mmengine - INFO - Epoch(train) [1][1880/3757] lr: 1.0000e-02 eta: 3 days, 8:22:23 time: 0.3984 data_time: 0.0137 memory: 17007 grad_norm: 2.6566 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5743 loss: 5.5743 2022/07/26 17:37:49 - mmengine - INFO - Epoch(train) [1][1900/3757] lr: 1.0000e-02 eta: 3 days, 8:17:41 time: 0.3905 data_time: 0.0151 memory: 17007 grad_norm: 2.5286 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3729 loss: 5.3729 2022/07/26 17:37:57 - mmengine - INFO - Epoch(train) [1][1920/3757] lr: 1.0000e-02 eta: 3 days, 8:13:05 time: 0.3907 data_time: 0.0138 memory: 17007 grad_norm: 2.5809 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4799 loss: 5.4799 2022/07/26 17:38:05 - mmengine - INFO - Epoch(train) [1][1940/3757] lr: 1.0000e-02 eta: 3 days, 8:08:38 time: 0.3910 data_time: 0.0164 memory: 17007 grad_norm: 2.4723 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4906 loss: 5.4906 2022/07/26 17:38:13 - mmengine - INFO - Epoch(train) [1][1960/3757] lr: 1.0000e-02 eta: 3 days, 8:04:05 time: 0.3895 data_time: 0.0130 memory: 17007 grad_norm: 2.3942 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.4316 loss: 5.4316 2022/07/26 17:38:20 - mmengine - INFO - Epoch(train) [1][1980/3757] lr: 1.0000e-02 eta: 3 days, 8:00:02 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 2.5277 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.3697 loss: 5.3697 2022/07/26 17:38:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 17:38:28 - mmengine - INFO - Epoch(train) [1][2000/3757] lr: 1.0000e-02 eta: 3 days, 7:55:53 time: 0.3915 data_time: 0.0138 memory: 17007 grad_norm: 2.6395 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4830 loss: 5.4830 2022/07/26 17:38:36 - mmengine - INFO - Epoch(train) [1][2020/3757] lr: 1.0000e-02 eta: 3 days, 7:52:40 time: 0.3991 data_time: 0.0175 memory: 17007 grad_norm: 2.4687 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6679 loss: 5.6679 2022/07/26 17:38:44 - mmengine - INFO - Epoch(train) [1][2040/3757] lr: 1.0000e-02 eta: 3 days, 7:48:27 time: 0.3896 data_time: 0.0145 memory: 17007 grad_norm: 2.3947 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4944 loss: 5.4944 2022/07/26 17:38:52 - mmengine - INFO - Epoch(train) [1][2060/3757] lr: 1.0000e-02 eta: 3 days, 7:44:25 time: 0.3905 data_time: 0.0154 memory: 17007 grad_norm: 2.4759 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6021 loss: 5.6021 2022/07/26 17:39:00 - mmengine - INFO - Epoch(train) [1][2080/3757] lr: 1.0000e-02 eta: 3 days, 7:41:22 time: 0.3988 data_time: 0.0141 memory: 17007 grad_norm: 2.5109 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.6587 loss: 5.6587 2022/07/26 17:39:08 - mmengine - INFO - Epoch(train) [1][2100/3757] lr: 1.0000e-02 eta: 3 days, 7:37:32 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 2.6354 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.6546 loss: 5.6546 2022/07/26 17:39:16 - mmengine - INFO - Epoch(train) [1][2120/3757] lr: 1.0000e-02 eta: 3 days, 7:34:05 time: 0.3939 data_time: 0.0123 memory: 17007 grad_norm: 2.5342 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.4572 loss: 5.4572 2022/07/26 17:39:24 - mmengine - INFO - Epoch(train) [1][2140/3757] lr: 1.0000e-02 eta: 3 days, 7:30:56 time: 0.3964 data_time: 0.0164 memory: 17007 grad_norm: 2.5852 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5152 loss: 5.5152 2022/07/26 17:39:32 - mmengine - INFO - Epoch(train) [1][2160/3757] lr: 1.0000e-02 eta: 3 days, 7:29:33 time: 0.4126 data_time: 0.0131 memory: 17007 grad_norm: 2.5722 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 5.4155 loss: 5.4155 2022/07/26 17:39:40 - mmengine - INFO - Epoch(train) [1][2180/3757] lr: 1.0000e-02 eta: 3 days, 7:26:40 time: 0.3979 data_time: 0.0164 memory: 17007 grad_norm: 2.5915 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.4508 loss: 5.4508 2022/07/26 17:39:48 - mmengine - INFO - Epoch(train) [1][2200/3757] lr: 1.0000e-02 eta: 3 days, 7:23:53 time: 0.3984 data_time: 0.0138 memory: 17007 grad_norm: 2.5730 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6378 loss: 5.6378 2022/07/26 17:39:56 - mmengine - INFO - Epoch(train) [1][2220/3757] lr: 1.0000e-02 eta: 3 days, 7:20:28 time: 0.3917 data_time: 0.0157 memory: 17007 grad_norm: 2.5181 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4448 loss: 5.4448 2022/07/26 17:40:03 - mmengine - INFO - Epoch(train) [1][2240/3757] lr: 1.0000e-02 eta: 3 days, 7:17:10 time: 0.3923 data_time: 0.0143 memory: 17007 grad_norm: 2.4781 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5561 loss: 5.5561 2022/07/26 17:40:11 - mmengine - INFO - Epoch(train) [1][2260/3757] lr: 1.0000e-02 eta: 3 days, 7:14:43 time: 0.4002 data_time: 0.0144 memory: 17007 grad_norm: 2.4467 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4764 loss: 5.4764 2022/07/26 17:40:19 - mmengine - INFO - Epoch(train) [1][2280/3757] lr: 1.0000e-02 eta: 3 days, 7:12:05 time: 0.3981 data_time: 0.0155 memory: 17007 grad_norm: 2.4968 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5597 loss: 5.5597 2022/07/26 17:40:27 - mmengine - INFO - Epoch(train) [1][2300/3757] lr: 1.0000e-02 eta: 3 days, 7:08:44 time: 0.3901 data_time: 0.0147 memory: 17007 grad_norm: 2.5923 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4376 loss: 5.4376 2022/07/26 17:40:35 - mmengine - INFO - Epoch(train) [1][2320/3757] lr: 1.0000e-02 eta: 3 days, 7:05:22 time: 0.3895 data_time: 0.0145 memory: 17007 grad_norm: 2.5855 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.4417 loss: 5.4417 2022/07/26 17:40:43 - mmengine - INFO - Epoch(train) [1][2340/3757] lr: 1.0000e-02 eta: 3 days, 7:02:10 time: 0.3907 data_time: 0.0151 memory: 17007 grad_norm: 2.5471 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.5278 loss: 5.5278 2022/07/26 17:40:51 - mmengine - INFO - Epoch(train) [1][2360/3757] lr: 1.0000e-02 eta: 3 days, 6:58:58 time: 0.3900 data_time: 0.0132 memory: 17007 grad_norm: 2.5279 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5090 loss: 5.5090 2022/07/26 17:40:58 - mmengine - INFO - Epoch(train) [1][2380/3757] lr: 1.0000e-02 eta: 3 days, 6:56:07 time: 0.3932 data_time: 0.0166 memory: 17007 grad_norm: 2.5021 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5306 loss: 5.5306 2022/07/26 17:41:06 - mmengine - INFO - Epoch(train) [1][2400/3757] lr: 1.0000e-02 eta: 3 days, 6:53:05 time: 0.3908 data_time: 0.0123 memory: 17007 grad_norm: 2.4692 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4647 loss: 5.4647 2022/07/26 17:41:14 - mmengine - INFO - Epoch(train) [1][2420/3757] lr: 1.0000e-02 eta: 3 days, 6:50:01 time: 0.3900 data_time: 0.0155 memory: 17007 grad_norm: 2.5978 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3547 loss: 5.3547 2022/07/26 17:41:22 - mmengine - INFO - Epoch(train) [1][2440/3757] lr: 1.0000e-02 eta: 3 days, 6:47:13 time: 0.3924 data_time: 0.0148 memory: 17007 grad_norm: 2.5645 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3984 loss: 5.3984 2022/07/26 17:41:30 - mmengine - INFO - Epoch(train) [1][2460/3757] lr: 1.0000e-02 eta: 3 days, 6:44:20 time: 0.3909 data_time: 0.0149 memory: 17007 grad_norm: 2.6169 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4086 loss: 5.4086 2022/07/26 17:41:38 - mmengine - INFO - Epoch(train) [1][2480/3757] lr: 1.0000e-02 eta: 3 days, 6:42:17 time: 0.3995 data_time: 0.0136 memory: 17007 grad_norm: 2.5860 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3901 loss: 5.3901 2022/07/26 17:41:46 - mmengine - INFO - Epoch(train) [1][2500/3757] lr: 1.0000e-02 eta: 3 days, 6:39:29 time: 0.3909 data_time: 0.0153 memory: 17007 grad_norm: 2.5819 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2922 loss: 5.2922 2022/07/26 17:41:53 - mmengine - INFO - Epoch(train) [1][2520/3757] lr: 1.0000e-02 eta: 3 days, 6:36:43 time: 0.3907 data_time: 0.0142 memory: 17007 grad_norm: 2.6514 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.6999 loss: 5.6999 2022/07/26 17:42:02 - mmengine - INFO - Epoch(train) [1][2540/3757] lr: 1.0000e-02 eta: 3 days, 6:36:37 time: 0.4205 data_time: 0.0173 memory: 17007 grad_norm: 2.5512 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5122 loss: 5.5122 2022/07/26 17:42:10 - mmengine - INFO - Epoch(train) [1][2560/3757] lr: 1.0000e-02 eta: 3 days, 6:33:44 time: 0.3889 data_time: 0.0126 memory: 17007 grad_norm: 2.5770 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3322 loss: 5.3322 2022/07/26 17:42:17 - mmengine - INFO - Epoch(train) [1][2580/3757] lr: 1.0000e-02 eta: 3 days, 6:31:49 time: 0.3993 data_time: 0.0175 memory: 17007 grad_norm: 2.5498 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5560 loss: 5.5560 2022/07/26 17:42:25 - mmengine - INFO - Epoch(train) [1][2600/3757] lr: 1.0000e-02 eta: 3 days, 6:29:03 time: 0.3893 data_time: 0.0133 memory: 17007 grad_norm: 2.4933 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 5.4894 loss: 5.4894 2022/07/26 17:42:33 - mmengine - INFO - Epoch(train) [1][2620/3757] lr: 1.0000e-02 eta: 3 days, 6:27:34 time: 0.4037 data_time: 0.0173 memory: 17007 grad_norm: 2.5764 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5162 loss: 5.5162 2022/07/26 17:42:41 - mmengine - INFO - Epoch(train) [1][2640/3757] lr: 1.0000e-02 eta: 3 days, 6:24:55 time: 0.3898 data_time: 0.0137 memory: 17007 grad_norm: 2.6502 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4971 loss: 5.4971 2022/07/26 17:42:49 - mmengine - INFO - Epoch(train) [1][2660/3757] lr: 1.0000e-02 eta: 3 days, 6:22:29 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 2.6558 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.4005 loss: 5.4005 2022/07/26 17:42:57 - mmengine - INFO - Epoch(train) [1][2680/3757] lr: 1.0000e-02 eta: 3 days, 6:20:38 time: 0.3985 data_time: 0.0151 memory: 17007 grad_norm: 2.6045 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5003 loss: 5.5003 2022/07/26 17:43:05 - mmengine - INFO - Epoch(train) [1][2700/3757] lr: 1.0000e-02 eta: 3 days, 6:17:57 time: 0.3880 data_time: 0.0146 memory: 17007 grad_norm: 2.6491 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5468 loss: 5.5468 2022/07/26 17:43:13 - mmengine - INFO - Epoch(train) [1][2720/3757] lr: 1.0000e-02 eta: 3 days, 6:15:32 time: 0.3910 data_time: 0.0128 memory: 17007 grad_norm: 2.5952 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5043 loss: 5.5043 2022/07/26 17:43:20 - mmengine - INFO - Epoch(train) [1][2740/3757] lr: 1.0000e-02 eta: 3 days, 6:13:15 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 2.5297 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4441 loss: 5.4441 2022/07/26 17:43:28 - mmengine - INFO - Epoch(train) [1][2760/3757] lr: 1.0000e-02 eta: 3 days, 6:10:49 time: 0.3899 data_time: 0.0144 memory: 17007 grad_norm: 2.6020 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3537 loss: 5.3537 2022/07/26 17:43:36 - mmengine - INFO - Epoch(train) [1][2780/3757] lr: 1.0000e-02 eta: 3 days, 6:08:28 time: 0.3905 data_time: 0.0151 memory: 17007 grad_norm: 2.6707 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3428 loss: 5.3428 2022/07/26 17:43:44 - mmengine - INFO - Epoch(train) [1][2800/3757] lr: 1.0000e-02 eta: 3 days, 6:06:03 time: 0.3894 data_time: 0.0129 memory: 17007 grad_norm: 2.7467 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.4637 loss: 5.4637 2022/07/26 17:43:52 - mmengine - INFO - Epoch(train) [1][2820/3757] lr: 1.0000e-02 eta: 3 days, 6:03:43 time: 0.3898 data_time: 0.0145 memory: 17007 grad_norm: 2.6440 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2960 loss: 5.2960 2022/07/26 17:43:59 - mmengine - INFO - Epoch(train) [1][2840/3757] lr: 1.0000e-02 eta: 3 days, 6:01:53 time: 0.3960 data_time: 0.0158 memory: 17007 grad_norm: 2.6050 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4549 loss: 5.4549 2022/07/26 17:44:08 - mmengine - INFO - Epoch(train) [1][2860/3757] lr: 1.0000e-02 eta: 3 days, 6:02:25 time: 0.4257 data_time: 0.0483 memory: 17007 grad_norm: 2.7438 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4749 loss: 5.4749 2022/07/26 17:44:16 - mmengine - INFO - Epoch(train) [1][2880/3757] lr: 1.0000e-02 eta: 3 days, 6:00:07 time: 0.3893 data_time: 0.0132 memory: 17007 grad_norm: 2.9063 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4814 loss: 5.4814 2022/07/26 17:44:24 - mmengine - INFO - Epoch(train) [1][2900/3757] lr: 1.0000e-02 eta: 3 days, 5:58:06 time: 0.3929 data_time: 0.0169 memory: 17007 grad_norm: 2.7922 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4920 loss: 5.4920 2022/07/26 17:44:31 - mmengine - INFO - Epoch(train) [1][2920/3757] lr: 1.0000e-02 eta: 3 days, 5:56:02 time: 0.3918 data_time: 0.0125 memory: 17007 grad_norm: 2.7260 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3440 loss: 5.3440 2022/07/26 17:44:39 - mmengine - INFO - Epoch(train) [1][2940/3757] lr: 1.0000e-02 eta: 3 days, 5:54:34 time: 0.3993 data_time: 0.0170 memory: 17007 grad_norm: 2.6411 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4772 loss: 5.4772 2022/07/26 17:44:47 - mmengine - INFO - Epoch(train) [1][2960/3757] lr: 1.0000e-02 eta: 3 days, 5:52:22 time: 0.3893 data_time: 0.0134 memory: 17007 grad_norm: 2.7380 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.5198 loss: 5.5198 2022/07/26 17:44:55 - mmengine - INFO - Epoch(train) [1][2980/3757] lr: 1.0000e-02 eta: 3 days, 5:50:22 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 2.7164 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4772 loss: 5.4772 2022/07/26 17:45:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 17:45:03 - mmengine - INFO - Epoch(train) [1][3000/3757] lr: 1.0000e-02 eta: 3 days, 5:48:16 time: 0.3899 data_time: 0.0126 memory: 17007 grad_norm: 2.6589 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2744 loss: 5.2744 2022/07/26 17:45:11 - mmengine - INFO - Epoch(train) [1][3020/3757] lr: 1.0000e-02 eta: 3 days, 5:46:18 time: 0.3915 data_time: 0.0158 memory: 17007 grad_norm: 2.7174 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.4354 loss: 5.4354 2022/07/26 17:45:19 - mmengine - INFO - Epoch(train) [1][3040/3757] lr: 1.0000e-02 eta: 3 days, 5:44:25 time: 0.3922 data_time: 0.0145 memory: 17007 grad_norm: 2.7051 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1835 loss: 5.1835 2022/07/26 17:45:26 - mmengine - INFO - Epoch(train) [1][3060/3757] lr: 1.0000e-02 eta: 3 days, 5:42:28 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 2.6389 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2622 loss: 5.2622 2022/07/26 17:45:34 - mmengine - INFO - Epoch(train) [1][3080/3757] lr: 1.0000e-02 eta: 3 days, 5:40:18 time: 0.3876 data_time: 0.0129 memory: 17007 grad_norm: 2.6740 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3685 loss: 5.3685 2022/07/26 17:45:42 - mmengine - INFO - Epoch(train) [1][3100/3757] lr: 1.0000e-02 eta: 3 days, 5:39:04 time: 0.4003 data_time: 0.0160 memory: 17007 grad_norm: 2.6561 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.4768 loss: 5.4768 2022/07/26 17:45:51 - mmengine - INFO - Epoch(train) [1][3120/3757] lr: 1.0000e-02 eta: 3 days, 5:42:23 time: 0.4634 data_time: 0.0158 memory: 17007 grad_norm: 2.6142 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3324 loss: 5.3324 2022/07/26 17:45:59 - mmengine - INFO - Epoch(train) [1][3140/3757] lr: 1.0000e-02 eta: 3 days, 5:40:53 time: 0.3966 data_time: 0.0152 memory: 17007 grad_norm: 2.7289 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3737 loss: 5.3737 2022/07/26 17:46:07 - mmengine - INFO - Epoch(train) [1][3160/3757] lr: 1.0000e-02 eta: 3 days, 5:39:11 time: 0.3934 data_time: 0.0130 memory: 17007 grad_norm: 2.9661 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3079 loss: 5.3079 2022/07/26 17:46:15 - mmengine - INFO - Epoch(train) [1][3180/3757] lr: 1.0000e-02 eta: 3 days, 5:37:19 time: 0.3908 data_time: 0.0160 memory: 17007 grad_norm: 2.8009 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.3491 loss: 5.3491 2022/07/26 17:46:23 - mmengine - INFO - Epoch(train) [1][3200/3757] lr: 1.0000e-02 eta: 3 days, 5:35:40 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 2.7369 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2907 loss: 5.2907 2022/07/26 17:46:31 - mmengine - INFO - Epoch(train) [1][3220/3757] lr: 1.0000e-02 eta: 3 days, 5:33:50 time: 0.3908 data_time: 0.0154 memory: 17007 grad_norm: 2.6943 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3227 loss: 5.3227 2022/07/26 17:46:39 - mmengine - INFO - Epoch(train) [1][3240/3757] lr: 1.0000e-02 eta: 3 days, 5:32:06 time: 0.3918 data_time: 0.0134 memory: 17007 grad_norm: 2.8045 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4282 loss: 5.4282 2022/07/26 17:46:46 - mmengine - INFO - Epoch(train) [1][3260/3757] lr: 1.0000e-02 eta: 3 days, 5:30:32 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 2.7340 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3482 loss: 5.3482 2022/07/26 17:46:54 - mmengine - INFO - Epoch(train) [1][3280/3757] lr: 1.0000e-02 eta: 3 days, 5:28:40 time: 0.3894 data_time: 0.0125 memory: 17007 grad_norm: 2.7443 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2419 loss: 5.2419 2022/07/26 17:47:02 - mmengine - INFO - Epoch(train) [1][3300/3757] lr: 1.0000e-02 eta: 3 days, 5:28:06 time: 0.4081 data_time: 0.0168 memory: 17007 grad_norm: 2.8190 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4716 loss: 5.4716 2022/07/26 17:47:10 - mmengine - INFO - Epoch(train) [1][3320/3757] lr: 1.0000e-02 eta: 3 days, 5:26:22 time: 0.3908 data_time: 0.0145 memory: 17007 grad_norm: 2.6617 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2644 loss: 5.2644 2022/07/26 17:47:18 - mmengine - INFO - Epoch(train) [1][3340/3757] lr: 1.0000e-02 eta: 3 days, 5:24:42 time: 0.3915 data_time: 0.0163 memory: 17007 grad_norm: 2.7117 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 5.1714 loss: 5.1714 2022/07/26 17:47:26 - mmengine - INFO - Epoch(train) [1][3360/3757] lr: 1.0000e-02 eta: 3 days, 5:22:53 time: 0.3890 data_time: 0.0150 memory: 17007 grad_norm: 2.6508 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.3639 loss: 5.3639 2022/07/26 17:47:34 - mmengine - INFO - Epoch(train) [1][3380/3757] lr: 1.0000e-02 eta: 3 days, 5:21:15 time: 0.3914 data_time: 0.0158 memory: 17007 grad_norm: 2.6839 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2832 loss: 5.2832 2022/07/26 17:47:41 - mmengine - INFO - Epoch(train) [1][3400/3757] lr: 1.0000e-02 eta: 3 days, 5:19:41 time: 0.3924 data_time: 0.0135 memory: 17007 grad_norm: 2.7860 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3390 loss: 5.3390 2022/07/26 17:47:49 - mmengine - INFO - Epoch(train) [1][3420/3757] lr: 1.0000e-02 eta: 3 days, 5:18:05 time: 0.3914 data_time: 0.0158 memory: 17007 grad_norm: 2.7253 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2909 loss: 5.2909 2022/07/26 17:47:57 - mmengine - INFO - Epoch(train) [1][3440/3757] lr: 1.0000e-02 eta: 3 days, 5:16:35 time: 0.3927 data_time: 0.0129 memory: 17007 grad_norm: 2.7646 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4237 loss: 5.4237 2022/07/26 17:48:05 - mmengine - INFO - Epoch(train) [1][3460/3757] lr: 1.0000e-02 eta: 3 days, 5:14:54 time: 0.3896 data_time: 0.0155 memory: 17007 grad_norm: 2.8127 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3608 loss: 5.3608 2022/07/26 17:48:13 - mmengine - INFO - Epoch(train) [1][3480/3757] lr: 1.0000e-02 eta: 3 days, 5:13:58 time: 0.4010 data_time: 0.0135 memory: 17007 grad_norm: 2.8009 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4073 loss: 5.4073 2022/07/26 17:48:21 - mmengine - INFO - Epoch(train) [1][3500/3757] lr: 1.0000e-02 eta: 3 days, 5:12:26 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 2.6699 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3140 loss: 5.3140 2022/07/26 17:48:29 - mmengine - INFO - Epoch(train) [1][3520/3757] lr: 1.0000e-02 eta: 3 days, 5:10:55 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 2.8821 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2954 loss: 5.2954 2022/07/26 17:48:36 - mmengine - INFO - Epoch(train) [1][3540/3757] lr: 1.0000e-02 eta: 3 days, 5:09:23 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 2.9485 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.4414 loss: 5.4414 2022/07/26 17:48:44 - mmengine - INFO - Epoch(train) [1][3560/3757] lr: 1.0000e-02 eta: 3 days, 5:08:22 time: 0.3989 data_time: 0.0142 memory: 17007 grad_norm: 2.8103 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2095 loss: 5.2095 2022/07/26 17:48:52 - mmengine - INFO - Epoch(train) [1][3580/3757] lr: 1.0000e-02 eta: 3 days, 5:06:55 time: 0.3917 data_time: 0.0157 memory: 17007 grad_norm: 2.8947 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2571 loss: 5.2571 2022/07/26 17:49:00 - mmengine - INFO - Epoch(train) [1][3600/3757] lr: 1.0000e-02 eta: 3 days, 5:05:31 time: 0.3925 data_time: 0.0138 memory: 17007 grad_norm: 2.7436 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.2261 loss: 5.2261 2022/07/26 17:49:08 - mmengine - INFO - Epoch(train) [1][3620/3757] lr: 1.0000e-02 eta: 3 days, 5:04:01 time: 0.3907 data_time: 0.0155 memory: 17007 grad_norm: 2.7838 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3104 loss: 5.3104 2022/07/26 17:49:16 - mmengine - INFO - Epoch(train) [1][3640/3757] lr: 1.0000e-02 eta: 3 days, 5:02:25 time: 0.3888 data_time: 0.0126 memory: 17007 grad_norm: 2.7993 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0791 loss: 5.0791 2022/07/26 17:49:24 - mmengine - INFO - Epoch(train) [1][3660/3757] lr: 1.0000e-02 eta: 3 days, 5:01:27 time: 0.3986 data_time: 0.0157 memory: 17007 grad_norm: 2.8747 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2942 loss: 5.2942 2022/07/26 17:49:32 - mmengine - INFO - Epoch(train) [1][3680/3757] lr: 1.0000e-02 eta: 3 days, 4:59:58 time: 0.3902 data_time: 0.0141 memory: 17007 grad_norm: 2.8969 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0520 loss: 5.0520 2022/07/26 17:49:40 - mmengine - INFO - Epoch(train) [1][3700/3757] lr: 1.0000e-02 eta: 3 days, 4:59:20 time: 0.4040 data_time: 0.0159 memory: 17007 grad_norm: 3.0120 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1631 loss: 5.1631 2022/07/26 17:49:47 - mmengine - INFO - Epoch(train) [1][3720/3757] lr: 1.0000e-02 eta: 3 days, 4:57:57 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 2.9334 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.2105 loss: 5.2105 2022/07/26 17:49:55 - mmengine - INFO - Epoch(train) [1][3740/3757] lr: 1.0000e-02 eta: 3 days, 4:56:36 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 2.8146 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1875 loss: 5.1875 2022/07/26 17:50:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 17:50:02 - mmengine - INFO - Epoch(train) [1][3757/3757] lr: 1.0000e-02 eta: 3 days, 4:56:36 time: 0.3915 data_time: 0.0132 memory: 17007 grad_norm: 2.7722 top1_acc: 0.0000 top5_acc: 0.2857 loss_cls: 5.2885 loss: 5.2885 2022/07/26 17:50:02 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/07/26 17:50:13 - mmengine - INFO - Epoch(train) [2][20/3757] lr: 9.9992e-03 eta: 3 days, 4:37:48 time: 0.4493 data_time: 0.0743 memory: 17007 grad_norm: 2.8333 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2040 loss: 5.2040 2022/07/26 17:50:20 - mmengine - INFO - Epoch(train) [2][40/3757] lr: 9.9992e-03 eta: 3 days, 4:36:39 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 2.7795 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2180 loss: 5.2180 2022/07/26 17:50:28 - mmengine - INFO - Epoch(train) [2][60/3757] lr: 9.9992e-03 eta: 3 days, 4:35:19 time: 0.3898 data_time: 0.0149 memory: 17007 grad_norm: 2.7634 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1647 loss: 5.1647 2022/07/26 17:50:36 - mmengine - INFO - Epoch(train) [2][80/3757] lr: 9.9992e-03 eta: 3 days, 4:33:56 time: 0.3886 data_time: 0.0146 memory: 17007 grad_norm: 2.8526 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3153 loss: 5.3153 2022/07/26 17:50:44 - mmengine - INFO - Epoch(train) [2][100/3757] lr: 9.9992e-03 eta: 3 days, 4:32:53 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 2.7683 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1864 loss: 5.1864 2022/07/26 17:50:52 - mmengine - INFO - Epoch(train) [2][120/3757] lr: 9.9992e-03 eta: 3 days, 4:31:53 time: 0.3949 data_time: 0.0152 memory: 17007 grad_norm: 2.7126 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2871 loss: 5.2871 2022/07/26 17:51:00 - mmengine - INFO - Epoch(train) [2][140/3757] lr: 9.9992e-03 eta: 3 days, 4:30:40 time: 0.3908 data_time: 0.0156 memory: 17007 grad_norm: 2.7451 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2874 loss: 5.2874 2022/07/26 17:51:07 - mmengine - INFO - Epoch(train) [2][160/3757] lr: 9.9992e-03 eta: 3 days, 4:29:26 time: 0.3906 data_time: 0.0150 memory: 17007 grad_norm: 2.8879 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3301 loss: 5.3301 2022/07/26 17:51:15 - mmengine - INFO - Epoch(train) [2][180/3757] lr: 9.9992e-03 eta: 3 days, 4:28:06 time: 0.3885 data_time: 0.0141 memory: 17007 grad_norm: 2.8609 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2807 loss: 5.2807 2022/07/26 17:51:23 - mmengine - INFO - Epoch(train) [2][200/3757] lr: 9.9992e-03 eta: 3 days, 4:27:06 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 2.9650 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.1823 loss: 5.1823 2022/07/26 17:51:31 - mmengine - INFO - Epoch(train) [2][220/3757] lr: 9.9992e-03 eta: 3 days, 4:26:07 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 2.8640 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3467 loss: 5.3467 2022/07/26 17:51:39 - mmengine - INFO - Epoch(train) [2][240/3757] lr: 9.9992e-03 eta: 3 days, 4:25:06 time: 0.3935 data_time: 0.0146 memory: 17007 grad_norm: 2.9395 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3385 loss: 5.3385 2022/07/26 17:51:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 17:51:47 - mmengine - INFO - Epoch(train) [2][260/3757] lr: 9.9992e-03 eta: 3 days, 4:23:54 time: 0.3900 data_time: 0.0151 memory: 17007 grad_norm: 2.9196 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1956 loss: 5.1956 2022/07/26 17:51:54 - mmengine - INFO - Epoch(train) [2][280/3757] lr: 9.9992e-03 eta: 3 days, 4:22:42 time: 0.3901 data_time: 0.0148 memory: 17007 grad_norm: 2.8972 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3746 loss: 5.3746 2022/07/26 17:52:02 - mmengine - INFO - Epoch(train) [2][300/3757] lr: 9.9992e-03 eta: 3 days, 4:21:37 time: 0.3918 data_time: 0.0152 memory: 17007 grad_norm: 2.7893 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2488 loss: 5.2488 2022/07/26 17:52:10 - mmengine - INFO - Epoch(train) [2][320/3757] lr: 9.9992e-03 eta: 3 days, 4:20:23 time: 0.3892 data_time: 0.0154 memory: 17007 grad_norm: 2.8483 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3997 loss: 5.3997 2022/07/26 17:52:18 - mmengine - INFO - Epoch(train) [2][340/3757] lr: 9.9992e-03 eta: 3 days, 4:20:08 time: 0.4067 data_time: 0.0166 memory: 17007 grad_norm: 2.8757 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.4729 loss: 5.4729 2022/07/26 17:52:26 - mmengine - INFO - Epoch(train) [2][360/3757] lr: 9.9992e-03 eta: 3 days, 4:19:01 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 2.9124 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2057 loss: 5.2057 2022/07/26 17:52:34 - mmengine - INFO - Epoch(train) [2][380/3757] lr: 9.9992e-03 eta: 3 days, 4:17:47 time: 0.3882 data_time: 0.0145 memory: 17007 grad_norm: 3.0043 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3089 loss: 5.3089 2022/07/26 17:52:42 - mmengine - INFO - Epoch(train) [2][400/3757] lr: 9.9992e-03 eta: 3 days, 4:17:22 time: 0.4037 data_time: 0.0165 memory: 17007 grad_norm: 3.0302 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3463 loss: 5.3463 2022/07/26 17:52:50 - mmengine - INFO - Epoch(train) [2][420/3757] lr: 9.9992e-03 eta: 3 days, 4:16:18 time: 0.3913 data_time: 0.0148 memory: 17007 grad_norm: 2.8159 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2369 loss: 5.2369 2022/07/26 17:52:58 - mmengine - INFO - Epoch(train) [2][440/3757] lr: 9.9992e-03 eta: 3 days, 4:16:27 time: 0.4139 data_time: 0.0155 memory: 17007 grad_norm: 2.8506 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1187 loss: 5.1187 2022/07/26 17:53:06 - mmengine - INFO - Epoch(train) [2][460/3757] lr: 9.9992e-03 eta: 3 days, 4:15:20 time: 0.3901 data_time: 0.0149 memory: 17007 grad_norm: 2.9086 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2127 loss: 5.2127 2022/07/26 17:53:14 - mmengine - INFO - Epoch(train) [2][480/3757] lr: 9.9992e-03 eta: 3 days, 4:14:16 time: 0.3909 data_time: 0.0148 memory: 17007 grad_norm: 2.9374 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1942 loss: 5.1942 2022/07/26 17:53:21 - mmengine - INFO - Epoch(train) [2][500/3757] lr: 9.9992e-03 eta: 3 days, 4:13:12 time: 0.3907 data_time: 0.0152 memory: 17007 grad_norm: 2.8795 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3281 loss: 5.3281 2022/07/26 17:53:29 - mmengine - INFO - Epoch(train) [2][520/3757] lr: 9.9992e-03 eta: 3 days, 4:12:09 time: 0.3910 data_time: 0.0154 memory: 17007 grad_norm: 2.9394 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1952 loss: 5.1952 2022/07/26 17:53:37 - mmengine - INFO - Epoch(train) [2][540/3757] lr: 9.9992e-03 eta: 3 days, 4:11:31 time: 0.3986 data_time: 0.0143 memory: 17007 grad_norm: 2.9125 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1167 loss: 5.1167 2022/07/26 17:53:45 - mmengine - INFO - Epoch(train) [2][560/3757] lr: 9.9992e-03 eta: 3 days, 4:10:32 time: 0.3918 data_time: 0.0165 memory: 17007 grad_norm: 3.0095 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1366 loss: 5.1366 2022/07/26 17:53:53 - mmengine - INFO - Epoch(train) [2][580/3757] lr: 9.9992e-03 eta: 3 days, 4:09:25 time: 0.3893 data_time: 0.0141 memory: 17007 grad_norm: 2.9741 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1775 loss: 5.1775 2022/07/26 17:54:01 - mmengine - INFO - Epoch(train) [2][600/3757] lr: 9.9992e-03 eta: 3 days, 4:08:31 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 2.9980 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4475 loss: 5.4475 2022/07/26 17:54:08 - mmengine - INFO - Epoch(train) [2][620/3757] lr: 9.9992e-03 eta: 3 days, 4:07:28 time: 0.3900 data_time: 0.0152 memory: 17007 grad_norm: 3.0353 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2029 loss: 5.2029 2022/07/26 17:54:16 - mmengine - INFO - Epoch(train) [2][640/3757] lr: 9.9992e-03 eta: 3 days, 4:06:25 time: 0.3900 data_time: 0.0144 memory: 17007 grad_norm: 3.0070 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1493 loss: 5.1493 2022/07/26 17:54:24 - mmengine - INFO - Epoch(train) [2][660/3757] lr: 9.9992e-03 eta: 3 days, 4:05:46 time: 0.3976 data_time: 0.0166 memory: 17007 grad_norm: 2.9868 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2728 loss: 5.2728 2022/07/26 17:54:32 - mmengine - INFO - Epoch(train) [2][680/3757] lr: 9.9992e-03 eta: 3 days, 4:04:44 time: 0.3902 data_time: 0.0157 memory: 17007 grad_norm: 2.9466 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3396 loss: 5.3396 2022/07/26 17:54:40 - mmengine - INFO - Epoch(train) [2][700/3757] lr: 9.9992e-03 eta: 3 days, 4:03:56 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 2.9231 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3073 loss: 5.3073 2022/07/26 17:54:48 - mmengine - INFO - Epoch(train) [2][720/3757] lr: 9.9992e-03 eta: 3 days, 4:02:55 time: 0.3900 data_time: 0.0155 memory: 17007 grad_norm: 2.9810 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2982 loss: 5.2982 2022/07/26 17:54:56 - mmengine - INFO - Epoch(train) [2][740/3757] lr: 9.9992e-03 eta: 3 days, 4:01:53 time: 0.3896 data_time: 0.0153 memory: 17007 grad_norm: 3.0357 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2742 loss: 5.2742 2022/07/26 17:55:03 - mmengine - INFO - Epoch(train) [2][760/3757] lr: 9.9992e-03 eta: 3 days, 4:01:04 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 3.0242 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.3015 loss: 5.3015 2022/07/26 17:55:11 - mmengine - INFO - Epoch(train) [2][780/3757] lr: 9.9992e-03 eta: 3 days, 4:00:05 time: 0.3903 data_time: 0.0151 memory: 17007 grad_norm: 2.9810 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0596 loss: 5.0596 2022/07/26 17:55:19 - mmengine - INFO - Epoch(train) [2][800/3757] lr: 9.9992e-03 eta: 3 days, 3:59:25 time: 0.3964 data_time: 0.0162 memory: 17007 grad_norm: 3.0362 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.4174 loss: 5.4174 2022/07/26 17:55:27 - mmengine - INFO - Epoch(train) [2][820/3757] lr: 9.9992e-03 eta: 3 days, 3:58:25 time: 0.3896 data_time: 0.0153 memory: 17007 grad_norm: 2.9420 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1708 loss: 5.1708 2022/07/26 17:55:35 - mmengine - INFO - Epoch(train) [2][840/3757] lr: 9.9992e-03 eta: 3 days, 3:57:25 time: 0.3898 data_time: 0.0149 memory: 17007 grad_norm: 2.9321 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.3328 loss: 5.3328 2022/07/26 17:55:43 - mmengine - INFO - Epoch(train) [2][860/3757] lr: 9.9992e-03 eta: 3 days, 3:56:35 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 2.9459 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.1794 loss: 5.1794 2022/07/26 17:55:51 - mmengine - INFO - Epoch(train) [2][880/3757] lr: 9.9992e-03 eta: 3 days, 3:56:07 time: 0.4002 data_time: 0.0160 memory: 17007 grad_norm: 3.0812 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2320 loss: 5.2320 2022/07/26 17:55:58 - mmengine - INFO - Epoch(train) [2][900/3757] lr: 9.9992e-03 eta: 3 days, 3:55:11 time: 0.3906 data_time: 0.0151 memory: 17007 grad_norm: 3.0347 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0838 loss: 5.0838 2022/07/26 17:56:06 - mmengine - INFO - Epoch(train) [2][920/3757] lr: 9.9992e-03 eta: 3 days, 3:54:12 time: 0.3891 data_time: 0.0149 memory: 17007 grad_norm: 2.9396 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1139 loss: 5.1139 2022/07/26 17:56:14 - mmengine - INFO - Epoch(train) [2][940/3757] lr: 9.9992e-03 eta: 3 days, 3:53:11 time: 0.3885 data_time: 0.0134 memory: 17007 grad_norm: 3.1454 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.3032 loss: 5.3032 2022/07/26 17:56:22 - mmengine - INFO - Epoch(train) [2][960/3757] lr: 9.9992e-03 eta: 3 days, 3:52:19 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 3.0108 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 5.1625 loss: 5.1625 2022/07/26 17:56:30 - mmengine - INFO - Epoch(train) [2][980/3757] lr: 9.9992e-03 eta: 3 days, 3:51:25 time: 0.3908 data_time: 0.0151 memory: 17007 grad_norm: 2.9465 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2273 loss: 5.2273 2022/07/26 17:56:37 - mmengine - INFO - Epoch(train) [2][1000/3757] lr: 9.9992e-03 eta: 3 days, 3:50:37 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 3.0750 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 5.2498 loss: 5.2498 2022/07/26 17:56:45 - mmengine - INFO - Epoch(train) [2][1020/3757] lr: 9.9992e-03 eta: 3 days, 3:49:37 time: 0.3885 data_time: 0.0134 memory: 17007 grad_norm: 2.9374 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2993 loss: 5.2993 2022/07/26 17:56:53 - mmengine - INFO - Epoch(train) [2][1040/3757] lr: 9.9992e-03 eta: 3 days, 3:48:46 time: 0.3909 data_time: 0.0148 memory: 17007 grad_norm: 2.9550 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1592 loss: 5.1592 2022/07/26 17:57:01 - mmengine - INFO - Epoch(train) [2][1060/3757] lr: 9.9992e-03 eta: 3 days, 3:47:58 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 3.0587 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1756 loss: 5.1756 2022/07/26 17:57:09 - mmengine - INFO - Epoch(train) [2][1080/3757] lr: 9.9992e-03 eta: 3 days, 3:47:06 time: 0.3906 data_time: 0.0155 memory: 17007 grad_norm: 3.2374 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2472 loss: 5.2472 2022/07/26 17:57:16 - mmengine - INFO - Epoch(train) [2][1100/3757] lr: 9.9992e-03 eta: 3 days, 3:46:12 time: 0.3899 data_time: 0.0147 memory: 17007 grad_norm: 3.0064 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1961 loss: 5.1961 2022/07/26 17:57:24 - mmengine - INFO - Epoch(train) [2][1120/3757] lr: 9.9992e-03 eta: 3 days, 3:45:20 time: 0.3903 data_time: 0.0154 memory: 17007 grad_norm: 3.0245 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1798 loss: 5.1798 2022/07/26 17:57:32 - mmengine - INFO - Epoch(train) [2][1140/3757] lr: 9.9992e-03 eta: 3 days, 3:45:00 time: 0.4020 data_time: 0.0148 memory: 17007 grad_norm: 2.9532 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.3596 loss: 5.3596 2022/07/26 17:57:40 - mmengine - INFO - Epoch(train) [2][1160/3757] lr: 9.9992e-03 eta: 3 days, 3:44:17 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 3.1310 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1431 loss: 5.1431 2022/07/26 17:57:48 - mmengine - INFO - Epoch(train) [2][1180/3757] lr: 9.9992e-03 eta: 3 days, 3:44:23 time: 0.4114 data_time: 0.0168 memory: 17007 grad_norm: 3.0887 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.4325 loss: 5.4325 2022/07/26 17:57:56 - mmengine - INFO - Epoch(train) [2][1200/3757] lr: 9.9992e-03 eta: 3 days, 3:43:32 time: 0.3903 data_time: 0.0153 memory: 17007 grad_norm: 2.9589 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.0532 loss: 5.0532 2022/07/26 17:58:04 - mmengine - INFO - Epoch(train) [2][1220/3757] lr: 9.9992e-03 eta: 3 days, 3:42:43 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 3.1785 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1598 loss: 5.1598 2022/07/26 17:58:12 - mmengine - INFO - Epoch(train) [2][1240/3757] lr: 9.9992e-03 eta: 3 days, 3:41:58 time: 0.3922 data_time: 0.0160 memory: 17007 grad_norm: 3.0459 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2618 loss: 5.2618 2022/07/26 17:58:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 17:58:20 - mmengine - INFO - Epoch(train) [2][1260/3757] lr: 9.9992e-03 eta: 3 days, 3:41:09 time: 0.3906 data_time: 0.0152 memory: 17007 grad_norm: 2.9593 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3878 loss: 5.3878 2022/07/26 17:58:27 - mmengine - INFO - Epoch(train) [2][1280/3757] lr: 9.9992e-03 eta: 3 days, 3:40:16 time: 0.3892 data_time: 0.0147 memory: 17007 grad_norm: 2.9783 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0897 loss: 5.0897 2022/07/26 17:58:35 - mmengine - INFO - Epoch(train) [2][1300/3757] lr: 9.9992e-03 eta: 3 days, 3:39:28 time: 0.3907 data_time: 0.0150 memory: 17007 grad_norm: 3.1975 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1760 loss: 5.1760 2022/07/26 17:58:43 - mmengine - INFO - Epoch(train) [2][1320/3757] lr: 9.9992e-03 eta: 3 days, 3:38:45 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 3.1358 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1233 loss: 5.1233 2022/07/26 17:58:51 - mmengine - INFO - Epoch(train) [2][1340/3757] lr: 9.9992e-03 eta: 3 days, 3:38:28 time: 0.4025 data_time: 0.0152 memory: 17007 grad_norm: 3.1053 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0328 loss: 5.0328 2022/07/26 17:58:59 - mmengine - INFO - Epoch(train) [2][1360/3757] lr: 9.9992e-03 eta: 3 days, 3:37:46 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 3.1499 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2523 loss: 5.2523 2022/07/26 17:59:07 - mmengine - INFO - Epoch(train) [2][1380/3757] lr: 9.9992e-03 eta: 3 days, 3:36:53 time: 0.3888 data_time: 0.0139 memory: 17007 grad_norm: 3.0730 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0277 loss: 5.0277 2022/07/26 17:59:15 - mmengine - INFO - Epoch(train) [2][1400/3757] lr: 9.9992e-03 eta: 3 days, 3:36:19 time: 0.3955 data_time: 0.0156 memory: 17007 grad_norm: 3.1522 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0548 loss: 5.0548 2022/07/26 17:59:23 - mmengine - INFO - Epoch(train) [2][1420/3757] lr: 9.9992e-03 eta: 3 days, 3:35:33 time: 0.3908 data_time: 0.0154 memory: 17007 grad_norm: 3.0232 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1573 loss: 5.1573 2022/07/26 17:59:31 - mmengine - INFO - Epoch(train) [2][1440/3757] lr: 9.9992e-03 eta: 3 days, 3:35:14 time: 0.4016 data_time: 0.0156 memory: 17007 grad_norm: 2.9793 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1335 loss: 5.1335 2022/07/26 17:59:38 - mmengine - INFO - Epoch(train) [2][1460/3757] lr: 9.9992e-03 eta: 3 days, 3:34:25 time: 0.3894 data_time: 0.0151 memory: 17007 grad_norm: 3.0179 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1500 loss: 5.1500 2022/07/26 17:59:46 - mmengine - INFO - Epoch(train) [2][1480/3757] lr: 9.9992e-03 eta: 3 days, 3:33:36 time: 0.3893 data_time: 0.0152 memory: 17007 grad_norm: 3.0554 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2629 loss: 5.2629 2022/07/26 17:59:54 - mmengine - INFO - Epoch(train) [2][1500/3757] lr: 9.9992e-03 eta: 3 days, 3:32:48 time: 0.3900 data_time: 0.0139 memory: 17007 grad_norm: 3.0955 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0115 loss: 5.0115 2022/07/26 18:00:03 - mmengine - INFO - Epoch(train) [2][1520/3757] lr: 9.9992e-03 eta: 3 days, 3:34:12 time: 0.4415 data_time: 0.0162 memory: 17007 grad_norm: 3.0927 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2395 loss: 5.2395 2022/07/26 18:00:13 - mmengine - INFO - Epoch(train) [2][1540/3757] lr: 9.9992e-03 eta: 3 days, 3:37:41 time: 0.4912 data_time: 0.0185 memory: 17007 grad_norm: 2.9557 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0103 loss: 5.0103 2022/07/26 18:00:21 - mmengine - INFO - Epoch(train) [2][1560/3757] lr: 9.9992e-03 eta: 3 days, 3:37:14 time: 0.3983 data_time: 0.0166 memory: 17007 grad_norm: 2.8747 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0912 loss: 5.0912 2022/07/26 18:00:28 - mmengine - INFO - Epoch(train) [2][1580/3757] lr: 9.9992e-03 eta: 3 days, 3:36:33 time: 0.3925 data_time: 0.0130 memory: 17007 grad_norm: 2.9907 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1198 loss: 5.1198 2022/07/26 18:00:36 - mmengine - INFO - Epoch(train) [2][1600/3757] lr: 9.9992e-03 eta: 3 days, 3:35:50 time: 0.3919 data_time: 0.0165 memory: 17007 grad_norm: 3.1683 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1143 loss: 5.1143 2022/07/26 18:00:44 - mmengine - INFO - Epoch(train) [2][1620/3757] lr: 9.9992e-03 eta: 3 days, 3:35:08 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 3.0055 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0405 loss: 5.0405 2022/07/26 18:00:52 - mmengine - INFO - Epoch(train) [2][1640/3757] lr: 9.9992e-03 eta: 3 days, 3:34:29 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 3.0086 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 5.0726 loss: 5.0726 2022/07/26 18:01:00 - mmengine - INFO - Epoch(train) [2][1660/3757] lr: 9.9992e-03 eta: 3 days, 3:33:52 time: 0.3940 data_time: 0.0139 memory: 17007 grad_norm: 3.0930 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8957 loss: 4.8957 2022/07/26 18:01:08 - mmengine - INFO - Epoch(train) [2][1680/3757] lr: 9.9992e-03 eta: 3 days, 3:33:08 time: 0.3910 data_time: 0.0161 memory: 17007 grad_norm: 3.1636 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1120 loss: 5.1120 2022/07/26 18:01:16 - mmengine - INFO - Epoch(train) [2][1700/3757] lr: 9.9992e-03 eta: 3 days, 3:32:30 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 3.1367 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1448 loss: 5.1448 2022/07/26 18:01:23 - mmengine - INFO - Epoch(train) [2][1720/3757] lr: 9.9992e-03 eta: 3 days, 3:31:56 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 2.9606 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0785 loss: 5.0785 2022/07/26 18:01:32 - mmengine - INFO - Epoch(train) [2][1740/3757] lr: 9.9992e-03 eta: 3 days, 3:31:57 time: 0.4092 data_time: 0.0135 memory: 17007 grad_norm: 3.0865 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 5.1465 loss: 5.1465 2022/07/26 18:01:39 - mmengine - INFO - Epoch(train) [2][1760/3757] lr: 9.9992e-03 eta: 3 days, 3:31:19 time: 0.3933 data_time: 0.0174 memory: 17007 grad_norm: 3.0974 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1643 loss: 5.1643 2022/07/26 18:01:47 - mmengine - INFO - Epoch(train) [2][1780/3757] lr: 9.9992e-03 eta: 3 days, 3:30:30 time: 0.3885 data_time: 0.0126 memory: 17007 grad_norm: 3.0242 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0642 loss: 5.0642 2022/07/26 18:01:55 - mmengine - INFO - Epoch(train) [2][1800/3757] lr: 9.9992e-03 eta: 3 days, 3:29:55 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 3.0238 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1314 loss: 5.1314 2022/07/26 18:02:03 - mmengine - INFO - Epoch(train) [2][1820/3757] lr: 9.9992e-03 eta: 3 days, 3:29:20 time: 0.3944 data_time: 0.0144 memory: 17007 grad_norm: 3.2165 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1635 loss: 5.1635 2022/07/26 18:02:11 - mmengine - INFO - Epoch(train) [2][1840/3757] lr: 9.9992e-03 eta: 3 days, 3:28:52 time: 0.3966 data_time: 0.0159 memory: 17007 grad_norm: 3.2177 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1391 loss: 5.1391 2022/07/26 18:02:19 - mmengine - INFO - Epoch(train) [2][1860/3757] lr: 9.9992e-03 eta: 3 days, 3:28:08 time: 0.3902 data_time: 0.0148 memory: 17007 grad_norm: 3.2522 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0375 loss: 5.0375 2022/07/26 18:02:27 - mmengine - INFO - Epoch(train) [2][1880/3757] lr: 9.9992e-03 eta: 3 days, 3:27:23 time: 0.3896 data_time: 0.0149 memory: 17007 grad_norm: 3.0599 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1021 loss: 5.1021 2022/07/26 18:02:34 - mmengine - INFO - Epoch(train) [2][1900/3757] lr: 9.9992e-03 eta: 3 days, 3:26:52 time: 0.3957 data_time: 0.0121 memory: 17007 grad_norm: 3.0371 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0822 loss: 5.0822 2022/07/26 18:02:42 - mmengine - INFO - Epoch(train) [2][1920/3757] lr: 9.9992e-03 eta: 3 days, 3:26:14 time: 0.3924 data_time: 0.0163 memory: 17007 grad_norm: 2.9456 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9669 loss: 4.9669 2022/07/26 18:02:50 - mmengine - INFO - Epoch(train) [2][1940/3757] lr: 9.9992e-03 eta: 3 days, 3:25:30 time: 0.3897 data_time: 0.0143 memory: 17007 grad_norm: 3.0658 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1508 loss: 5.1508 2022/07/26 18:02:58 - mmengine - INFO - Epoch(train) [2][1960/3757] lr: 9.9992e-03 eta: 3 days, 3:25:00 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 3.0534 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1040 loss: 5.1040 2022/07/26 18:03:06 - mmengine - INFO - Epoch(train) [2][1980/3757] lr: 9.9992e-03 eta: 3 days, 3:24:15 time: 0.3892 data_time: 0.0127 memory: 17007 grad_norm: 3.1175 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9841 loss: 4.9841 2022/07/26 18:03:14 - mmengine - INFO - Epoch(train) [2][2000/3757] lr: 9.9992e-03 eta: 3 days, 3:24:04 time: 0.4035 data_time: 0.0152 memory: 17007 grad_norm: 3.1398 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1116 loss: 5.1116 2022/07/26 18:03:22 - mmengine - INFO - Epoch(train) [2][2020/3757] lr: 9.9992e-03 eta: 3 days, 3:23:28 time: 0.3930 data_time: 0.0142 memory: 17007 grad_norm: 3.0185 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1393 loss: 5.1393 2022/07/26 18:03:30 - mmengine - INFO - Epoch(train) [2][2040/3757] lr: 9.9992e-03 eta: 3 days, 3:22:51 time: 0.3924 data_time: 0.0161 memory: 17007 grad_norm: 3.0047 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0770 loss: 5.0770 2022/07/26 18:03:37 - mmengine - INFO - Epoch(train) [2][2060/3757] lr: 9.9992e-03 eta: 3 days, 3:22:07 time: 0.3890 data_time: 0.0141 memory: 17007 grad_norm: 3.0814 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9199 loss: 4.9199 2022/07/26 18:03:45 - mmengine - INFO - Epoch(train) [2][2080/3757] lr: 9.9992e-03 eta: 3 days, 3:21:33 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 3.1044 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2356 loss: 5.2356 2022/07/26 18:03:53 - mmengine - INFO - Epoch(train) [2][2100/3757] lr: 9.9992e-03 eta: 3 days, 3:20:51 time: 0.3902 data_time: 0.0132 memory: 17007 grad_norm: 3.0872 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0690 loss: 5.0690 2022/07/26 18:04:01 - mmengine - INFO - Epoch(train) [2][2120/3757] lr: 9.9992e-03 eta: 3 days, 3:20:14 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 3.0739 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9053 loss: 4.9053 2022/07/26 18:04:09 - mmengine - INFO - Epoch(train) [2][2140/3757] lr: 9.9992e-03 eta: 3 days, 3:19:37 time: 0.3919 data_time: 0.0135 memory: 17007 grad_norm: 3.1245 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2101 loss: 5.2101 2022/07/26 18:04:17 - mmengine - INFO - Epoch(train) [2][2160/3757] lr: 9.9992e-03 eta: 3 days, 3:19:00 time: 0.3915 data_time: 0.0158 memory: 17007 grad_norm: 3.0157 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0879 loss: 5.0879 2022/07/26 18:04:24 - mmengine - INFO - Epoch(train) [2][2180/3757] lr: 9.9992e-03 eta: 3 days, 3:18:27 time: 0.3936 data_time: 0.0133 memory: 17007 grad_norm: 3.1038 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8974 loss: 4.8974 2022/07/26 18:04:32 - mmengine - INFO - Epoch(train) [2][2200/3757] lr: 9.9992e-03 eta: 3 days, 3:17:52 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 3.0001 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9696 loss: 4.9696 2022/07/26 18:04:40 - mmengine - INFO - Epoch(train) [2][2220/3757] lr: 9.9992e-03 eta: 3 days, 3:17:23 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 3.2363 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9403 loss: 4.9403 2022/07/26 18:04:48 - mmengine - INFO - Epoch(train) [2][2240/3757] lr: 9.9992e-03 eta: 3 days, 3:16:44 time: 0.3905 data_time: 0.0148 memory: 17007 grad_norm: 3.1975 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1888 loss: 5.1888 2022/07/26 18:04:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:04:56 - mmengine - INFO - Epoch(train) [2][2260/3757] lr: 9.9992e-03 eta: 3 days, 3:16:28 time: 0.4009 data_time: 0.0131 memory: 17007 grad_norm: 3.1812 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1339 loss: 5.1339 2022/07/26 18:05:04 - mmengine - INFO - Epoch(train) [2][2280/3757] lr: 9.9992e-03 eta: 3 days, 3:16:21 time: 0.4047 data_time: 0.0172 memory: 17007 grad_norm: 3.0564 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9103 loss: 4.9103 2022/07/26 18:05:12 - mmengine - INFO - Epoch(train) [2][2300/3757] lr: 9.9992e-03 eta: 3 days, 3:16:23 time: 0.4090 data_time: 0.0137 memory: 17007 grad_norm: 3.1332 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1086 loss: 5.1086 2022/07/26 18:05:20 - mmengine - INFO - Epoch(train) [2][2320/3757] lr: 9.9992e-03 eta: 3 days, 3:15:51 time: 0.3933 data_time: 0.0164 memory: 17007 grad_norm: 3.0636 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 5.0135 loss: 5.0135 2022/07/26 18:05:28 - mmengine - INFO - Epoch(train) [2][2340/3757] lr: 9.9992e-03 eta: 3 days, 3:15:12 time: 0.3901 data_time: 0.0144 memory: 17007 grad_norm: 3.2266 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 5.0022 loss: 5.0022 2022/07/26 18:05:36 - mmengine - INFO - Epoch(train) [2][2360/3757] lr: 9.9992e-03 eta: 3 days, 3:14:35 time: 0.3912 data_time: 0.0157 memory: 17007 grad_norm: 3.2387 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.9963 loss: 4.9963 2022/07/26 18:05:44 - mmengine - INFO - Epoch(train) [2][2380/3757] lr: 9.9992e-03 eta: 3 days, 3:14:04 time: 0.3936 data_time: 0.0146 memory: 17007 grad_norm: 3.1395 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0525 loss: 5.0525 2022/07/26 18:05:51 - mmengine - INFO - Epoch(train) [2][2400/3757] lr: 9.9992e-03 eta: 3 days, 3:13:29 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 2.9973 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1459 loss: 5.1459 2022/07/26 18:05:59 - mmengine - INFO - Epoch(train) [2][2420/3757] lr: 9.9992e-03 eta: 3 days, 3:13:00 time: 0.3945 data_time: 0.0136 memory: 17007 grad_norm: 3.1032 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1685 loss: 5.1685 2022/07/26 18:06:07 - mmengine - INFO - Epoch(train) [2][2440/3757] lr: 9.9992e-03 eta: 3 days, 3:12:20 time: 0.3896 data_time: 0.0146 memory: 17007 grad_norm: 3.2231 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1251 loss: 5.1251 2022/07/26 18:06:16 - mmengine - INFO - Epoch(train) [2][2460/3757] lr: 9.9992e-03 eta: 3 days, 3:13:27 time: 0.4387 data_time: 0.0622 memory: 17007 grad_norm: 3.1395 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1777 loss: 5.1777 2022/07/26 18:06:24 - mmengine - INFO - Epoch(train) [2][2480/3757] lr: 9.9992e-03 eta: 3 days, 3:13:13 time: 0.4015 data_time: 0.0160 memory: 17007 grad_norm: 3.2472 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9432 loss: 4.9432 2022/07/26 18:06:32 - mmengine - INFO - Epoch(train) [2][2500/3757] lr: 9.9992e-03 eta: 3 days, 3:12:35 time: 0.3903 data_time: 0.0156 memory: 17007 grad_norm: 3.2406 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.9546 loss: 4.9546 2022/07/26 18:06:40 - mmengine - INFO - Epoch(train) [2][2520/3757] lr: 9.9992e-03 eta: 3 days, 3:12:01 time: 0.3919 data_time: 0.0150 memory: 17007 grad_norm: 3.1796 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2437 loss: 5.2437 2022/07/26 18:06:47 - mmengine - INFO - Epoch(train) [2][2540/3757] lr: 9.9992e-03 eta: 3 days, 3:11:20 time: 0.3885 data_time: 0.0141 memory: 17007 grad_norm: 3.1524 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0666 loss: 5.0666 2022/07/26 18:06:55 - mmengine - INFO - Epoch(train) [2][2560/3757] lr: 9.9992e-03 eta: 3 days, 3:10:50 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 3.2157 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0081 loss: 5.0081 2022/07/26 18:07:03 - mmengine - INFO - Epoch(train) [2][2580/3757] lr: 9.9992e-03 eta: 3 days, 3:10:28 time: 0.3973 data_time: 0.0133 memory: 17007 grad_norm: 3.1606 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.1641 loss: 5.1641 2022/07/26 18:07:11 - mmengine - INFO - Epoch(train) [2][2600/3757] lr: 9.9992e-03 eta: 3 days, 3:10:00 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 3.2132 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.1060 loss: 5.1060 2022/07/26 18:07:19 - mmengine - INFO - Epoch(train) [2][2620/3757] lr: 9.9992e-03 eta: 3 days, 3:09:30 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 3.0453 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2058 loss: 5.2058 2022/07/26 18:07:27 - mmengine - INFO - Epoch(train) [2][2640/3757] lr: 9.9992e-03 eta: 3 days, 3:08:57 time: 0.3923 data_time: 0.0172 memory: 17007 grad_norm: 3.0585 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.0315 loss: 5.0315 2022/07/26 18:07:35 - mmengine - INFO - Epoch(train) [2][2660/3757] lr: 9.9992e-03 eta: 3 days, 3:08:19 time: 0.3893 data_time: 0.0141 memory: 17007 grad_norm: 3.0979 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 4.9053 loss: 4.9053 2022/07/26 18:07:42 - mmengine - INFO - Epoch(train) [2][2680/3757] lr: 9.9992e-03 eta: 3 days, 3:07:47 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 3.1311 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9853 loss: 4.9853 2022/07/26 18:07:50 - mmengine - INFO - Epoch(train) [2][2700/3757] lr: 9.9992e-03 eta: 3 days, 3:07:33 time: 0.4010 data_time: 0.0163 memory: 17007 grad_norm: 3.1191 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1280 loss: 5.1280 2022/07/26 18:07:58 - mmengine - INFO - Epoch(train) [2][2720/3757] lr: 9.9992e-03 eta: 3 days, 3:07:00 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 3.1615 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 5.1792 loss: 5.1792 2022/07/26 18:08:06 - mmengine - INFO - Epoch(train) [2][2740/3757] lr: 9.9992e-03 eta: 3 days, 3:06:26 time: 0.3907 data_time: 0.0136 memory: 17007 grad_norm: 3.1217 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0641 loss: 5.0641 2022/07/26 18:08:14 - mmengine - INFO - Epoch(train) [2][2760/3757] lr: 9.9992e-03 eta: 3 days, 3:05:50 time: 0.3904 data_time: 0.0158 memory: 17007 grad_norm: 3.2083 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0728 loss: 5.0728 2022/07/26 18:08:22 - mmengine - INFO - Epoch(train) [2][2780/3757] lr: 9.9992e-03 eta: 3 days, 3:05:31 time: 0.3985 data_time: 0.0140 memory: 17007 grad_norm: 3.1704 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 5.0290 loss: 5.0290 2022/07/26 18:08:30 - mmengine - INFO - Epoch(train) [2][2800/3757] lr: 9.9992e-03 eta: 3 days, 3:04:58 time: 0.3914 data_time: 0.0173 memory: 17007 grad_norm: 3.2210 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8326 loss: 4.8326 2022/07/26 18:08:38 - mmengine - INFO - Epoch(train) [2][2820/3757] lr: 9.9992e-03 eta: 3 days, 3:04:23 time: 0.3900 data_time: 0.0142 memory: 17007 grad_norm: 3.2007 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0498 loss: 5.0498 2022/07/26 18:08:46 - mmengine - INFO - Epoch(train) [2][2840/3757] lr: 9.9992e-03 eta: 3 days, 3:04:47 time: 0.4197 data_time: 0.0174 memory: 17007 grad_norm: 3.0340 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0674 loss: 5.0674 2022/07/26 18:08:54 - mmengine - INFO - Epoch(train) [2][2860/3757] lr: 9.9992e-03 eta: 3 days, 3:04:15 time: 0.3917 data_time: 0.0126 memory: 17007 grad_norm: 3.0383 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9771 loss: 4.9771 2022/07/26 18:09:02 - mmengine - INFO - Epoch(train) [2][2880/3757] lr: 9.9992e-03 eta: 3 days, 3:03:55 time: 0.3978 data_time: 0.0164 memory: 17007 grad_norm: 3.1972 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0960 loss: 5.0960 2022/07/26 18:09:09 - mmengine - INFO - Epoch(train) [2][2900/3757] lr: 9.9992e-03 eta: 3 days, 3:03:19 time: 0.3897 data_time: 0.0138 memory: 17007 grad_norm: 3.1659 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0221 loss: 5.0221 2022/07/26 18:09:17 - mmengine - INFO - Epoch(train) [2][2920/3757] lr: 9.9992e-03 eta: 3 days, 3:02:45 time: 0.3903 data_time: 0.0151 memory: 17007 grad_norm: 3.1431 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.9718 loss: 4.9718 2022/07/26 18:09:25 - mmengine - INFO - Epoch(train) [2][2940/3757] lr: 9.9992e-03 eta: 3 days, 3:02:24 time: 0.3970 data_time: 0.0140 memory: 17007 grad_norm: 3.1730 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7866 loss: 4.7866 2022/07/26 18:09:33 - mmengine - INFO - Epoch(train) [2][2960/3757] lr: 9.9992e-03 eta: 3 days, 3:01:52 time: 0.3914 data_time: 0.0162 memory: 17007 grad_norm: 3.2800 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8160 loss: 4.8160 2022/07/26 18:09:41 - mmengine - INFO - Epoch(train) [2][2980/3757] lr: 9.9992e-03 eta: 3 days, 3:01:43 time: 0.4029 data_time: 0.0140 memory: 17007 grad_norm: 3.2074 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9854 loss: 4.9854 2022/07/26 18:09:49 - mmengine - INFO - Epoch(train) [2][3000/3757] lr: 9.9992e-03 eta: 3 days, 3:01:11 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 3.0799 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0858 loss: 5.0858 2022/07/26 18:09:57 - mmengine - INFO - Epoch(train) [2][3020/3757] lr: 9.9992e-03 eta: 3 days, 3:00:36 time: 0.3898 data_time: 0.0148 memory: 17007 grad_norm: 3.2238 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8641 loss: 4.8641 2022/07/26 18:10:05 - mmengine - INFO - Epoch(train) [2][3040/3757] lr: 9.9992e-03 eta: 3 days, 3:00:09 time: 0.3936 data_time: 0.0163 memory: 17007 grad_norm: 3.2489 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0777 loss: 5.0777 2022/07/26 18:10:12 - mmengine - INFO - Epoch(train) [2][3060/3757] lr: 9.9992e-03 eta: 3 days, 2:59:34 time: 0.3897 data_time: 0.0140 memory: 17007 grad_norm: 3.3199 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2247 loss: 5.2247 2022/07/26 18:10:20 - mmengine - INFO - Epoch(train) [2][3080/3757] lr: 9.9992e-03 eta: 3 days, 2:59:10 time: 0.3951 data_time: 0.0169 memory: 17007 grad_norm: 3.1674 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9230 loss: 4.9230 2022/07/26 18:10:28 - mmengine - INFO - Epoch(train) [2][3100/3757] lr: 9.9992e-03 eta: 3 days, 2:58:35 time: 0.3895 data_time: 0.0129 memory: 17007 grad_norm: 3.0899 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1590 loss: 5.1590 2022/07/26 18:10:36 - mmengine - INFO - Epoch(train) [2][3120/3757] lr: 9.9992e-03 eta: 3 days, 2:58:03 time: 0.3907 data_time: 0.0155 memory: 17007 grad_norm: 3.2494 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8892 loss: 4.8892 2022/07/26 18:10:44 - mmengine - INFO - Epoch(train) [2][3140/3757] lr: 9.9992e-03 eta: 3 days, 2:57:49 time: 0.4005 data_time: 0.0138 memory: 17007 grad_norm: 3.2247 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.1145 loss: 5.1145 2022/07/26 18:10:52 - mmengine - INFO - Epoch(train) [2][3160/3757] lr: 9.9992e-03 eta: 3 days, 2:57:17 time: 0.3905 data_time: 0.0162 memory: 17007 grad_norm: 3.1639 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9268 loss: 4.9268 2022/07/26 18:11:00 - mmengine - INFO - Epoch(train) [2][3180/3757] lr: 9.9992e-03 eta: 3 days, 2:57:04 time: 0.4005 data_time: 0.0153 memory: 17007 grad_norm: 3.1525 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.0772 loss: 5.0772 2022/07/26 18:11:08 - mmengine - INFO - Epoch(train) [2][3200/3757] lr: 9.9992e-03 eta: 3 days, 2:56:34 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 3.0406 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9670 loss: 4.9670 2022/07/26 18:11:15 - mmengine - INFO - Epoch(train) [2][3220/3757] lr: 9.9992e-03 eta: 3 days, 2:56:02 time: 0.3902 data_time: 0.0140 memory: 17007 grad_norm: 3.1857 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8199 loss: 4.8199 2022/07/26 18:11:23 - mmengine - INFO - Epoch(train) [2][3240/3757] lr: 9.9992e-03 eta: 3 days, 2:55:50 time: 0.4009 data_time: 0.0167 memory: 17007 grad_norm: 3.1824 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0713 loss: 5.0713 2022/07/26 18:11:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:11:31 - mmengine - INFO - Epoch(train) [2][3260/3757] lr: 9.9992e-03 eta: 3 days, 2:55:17 time: 0.3900 data_time: 0.0147 memory: 17007 grad_norm: 3.2463 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0410 loss: 5.0410 2022/07/26 18:11:39 - mmengine - INFO - Epoch(train) [2][3280/3757] lr: 9.9992e-03 eta: 3 days, 2:55:23 time: 0.4107 data_time: 0.0225 memory: 17007 grad_norm: 3.4141 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0604 loss: 5.0604 2022/07/26 18:11:47 - mmengine - INFO - Epoch(train) [2][3300/3757] lr: 9.9992e-03 eta: 3 days, 2:54:49 time: 0.3893 data_time: 0.0126 memory: 17007 grad_norm: 3.3660 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0645 loss: 5.0645 2022/07/26 18:11:55 - mmengine - INFO - Epoch(train) [2][3320/3757] lr: 9.9992e-03 eta: 3 days, 2:54:20 time: 0.3921 data_time: 0.0165 memory: 17007 grad_norm: 3.2106 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0478 loss: 5.0478 2022/07/26 18:12:03 - mmengine - INFO - Epoch(train) [2][3340/3757] lr: 9.9992e-03 eta: 3 days, 2:54:13 time: 0.4035 data_time: 0.0145 memory: 17007 grad_norm: 3.1187 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1000 loss: 5.1000 2022/07/26 18:12:11 - mmengine - INFO - Epoch(train) [2][3360/3757] lr: 9.9992e-03 eta: 3 days, 2:53:43 time: 0.3914 data_time: 0.0163 memory: 17007 grad_norm: 3.1525 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8183 loss: 4.8183 2022/07/26 18:12:19 - mmengine - INFO - Epoch(train) [2][3380/3757] lr: 9.9992e-03 eta: 3 days, 2:53:10 time: 0.3895 data_time: 0.0126 memory: 17007 grad_norm: 3.3252 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9736 loss: 4.9736 2022/07/26 18:12:27 - mmengine - INFO - Epoch(train) [2][3400/3757] lr: 9.9992e-03 eta: 3 days, 2:52:51 time: 0.3971 data_time: 0.0166 memory: 17007 grad_norm: 3.2486 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.0841 loss: 5.0841 2022/07/26 18:12:34 - mmengine - INFO - Epoch(train) [2][3420/3757] lr: 9.9992e-03 eta: 3 days, 2:52:18 time: 0.3893 data_time: 0.0146 memory: 17007 grad_norm: 3.1170 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.9707 loss: 4.9707 2022/07/26 18:12:43 - mmengine - INFO - Epoch(train) [2][3440/3757] lr: 9.9992e-03 eta: 3 days, 2:52:08 time: 0.4018 data_time: 0.0165 memory: 17007 grad_norm: 3.2085 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8793 loss: 4.8793 2022/07/26 18:12:50 - mmengine - INFO - Epoch(train) [2][3460/3757] lr: 9.9992e-03 eta: 3 days, 2:51:34 time: 0.3887 data_time: 0.0141 memory: 17007 grad_norm: 3.2369 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8093 loss: 4.8093 2022/07/26 18:12:58 - mmengine - INFO - Epoch(train) [2][3480/3757] lr: 9.9992e-03 eta: 3 days, 2:51:01 time: 0.3895 data_time: 0.0152 memory: 17007 grad_norm: 3.1156 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9209 loss: 4.9209 2022/07/26 18:13:06 - mmengine - INFO - Epoch(train) [2][3500/3757] lr: 9.9992e-03 eta: 3 days, 2:50:33 time: 0.3917 data_time: 0.0146 memory: 17007 grad_norm: 3.1882 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8846 loss: 4.8846 2022/07/26 18:13:14 - mmengine - INFO - Epoch(train) [2][3520/3757] lr: 9.9992e-03 eta: 3 days, 2:50:05 time: 0.3921 data_time: 0.0164 memory: 17007 grad_norm: 3.2365 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8160 loss: 4.8160 2022/07/26 18:13:22 - mmengine - INFO - Epoch(train) [2][3540/3757] lr: 9.9992e-03 eta: 3 days, 2:49:52 time: 0.4001 data_time: 0.0148 memory: 17007 grad_norm: 3.2603 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9699 loss: 4.9699 2022/07/26 18:13:30 - mmengine - INFO - Epoch(train) [2][3560/3757] lr: 9.9992e-03 eta: 3 days, 2:49:26 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 3.1765 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8702 loss: 4.8702 2022/07/26 18:13:37 - mmengine - INFO - Epoch(train) [2][3580/3757] lr: 9.9992e-03 eta: 3 days, 2:48:51 time: 0.3883 data_time: 0.0142 memory: 17007 grad_norm: 3.4510 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9746 loss: 4.9746 2022/07/26 18:13:45 - mmengine - INFO - Epoch(train) [2][3600/3757] lr: 9.9992e-03 eta: 3 days, 2:48:32 time: 0.3962 data_time: 0.0156 memory: 17007 grad_norm: 3.4471 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.2001 loss: 5.2001 2022/07/26 18:13:53 - mmengine - INFO - Epoch(train) [2][3620/3757] lr: 9.9992e-03 eta: 3 days, 2:48:01 time: 0.3903 data_time: 0.0136 memory: 17007 grad_norm: 3.1602 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9450 loss: 4.9450 2022/07/26 18:14:01 - mmengine - INFO - Epoch(train) [2][3640/3757] lr: 9.9992e-03 eta: 3 days, 2:47:59 time: 0.4059 data_time: 0.0164 memory: 17007 grad_norm: 3.2359 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8375 loss: 4.8375 2022/07/26 18:14:09 - mmengine - INFO - Epoch(train) [2][3660/3757] lr: 9.9992e-03 eta: 3 days, 2:47:29 time: 0.3903 data_time: 0.0130 memory: 17007 grad_norm: 3.2621 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9135 loss: 4.9135 2022/07/26 18:14:17 - mmengine - INFO - Epoch(train) [2][3680/3757] lr: 9.9992e-03 eta: 3 days, 2:46:59 time: 0.3908 data_time: 0.0158 memory: 17007 grad_norm: 3.3149 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.9025 loss: 4.9025 2022/07/26 18:14:25 - mmengine - INFO - Epoch(train) [2][3700/3757] lr: 9.9992e-03 eta: 3 days, 2:46:32 time: 0.3918 data_time: 0.0137 memory: 17007 grad_norm: 3.3477 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.1691 loss: 5.1691 2022/07/26 18:14:33 - mmengine - INFO - Epoch(train) [2][3720/3757] lr: 9.9992e-03 eta: 3 days, 2:46:05 time: 0.3920 data_time: 0.0168 memory: 17007 grad_norm: 3.0588 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8835 loss: 4.8835 2022/07/26 18:14:40 - mmengine - INFO - Epoch(train) [2][3740/3757] lr: 9.9992e-03 eta: 3 days, 2:45:35 time: 0.3898 data_time: 0.0131 memory: 17007 grad_norm: 3.1458 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8921 loss: 4.8921 2022/07/26 18:14:47 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:14:47 - mmengine - INFO - Epoch(train) [2][3757/3757] lr: 9.9992e-03 eta: 3 days, 2:45:35 time: 0.3877 data_time: 0.0165 memory: 17007 grad_norm: 3.2669 top1_acc: 0.1429 top5_acc: 0.1429 loss_cls: 5.0772 loss: 5.0772 2022/07/26 18:14:47 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/07/26 18:14:58 - mmengine - INFO - Epoch(train) [3][20/3757] lr: 9.9970e-03 eta: 3 days, 2:36:20 time: 0.4406 data_time: 0.0653 memory: 17007 grad_norm: 3.1750 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 5.0035 loss: 5.0035 2022/07/26 18:15:06 - mmengine - INFO - Epoch(train) [3][40/3757] lr: 9.9970e-03 eta: 3 days, 2:36:05 time: 0.3975 data_time: 0.0170 memory: 17007 grad_norm: 3.2878 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0421 loss: 5.0421 2022/07/26 18:15:13 - mmengine - INFO - Epoch(train) [3][60/3757] lr: 9.9970e-03 eta: 3 days, 2:35:38 time: 0.3908 data_time: 0.0143 memory: 17007 grad_norm: 3.2907 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8288 loss: 4.8288 2022/07/26 18:15:21 - mmengine - INFO - Epoch(train) [3][80/3757] lr: 9.9970e-03 eta: 3 days, 2:35:15 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 3.4452 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9652 loss: 4.9652 2022/07/26 18:15:29 - mmengine - INFO - Epoch(train) [3][100/3757] lr: 9.9970e-03 eta: 3 days, 2:34:45 time: 0.3892 data_time: 0.0143 memory: 17007 grad_norm: 3.3329 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8492 loss: 4.8492 2022/07/26 18:15:37 - mmengine - INFO - Epoch(train) [3][120/3757] lr: 9.9970e-03 eta: 3 days, 2:34:19 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 3.3062 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.9401 loss: 4.9401 2022/07/26 18:15:45 - mmengine - INFO - Epoch(train) [3][140/3757] lr: 9.9970e-03 eta: 3 days, 2:33:52 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 3.4022 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.1337 loss: 5.1337 2022/07/26 18:15:52 - mmengine - INFO - Epoch(train) [3][160/3757] lr: 9.9970e-03 eta: 3 days, 2:33:25 time: 0.3903 data_time: 0.0146 memory: 17007 grad_norm: 3.2839 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9953 loss: 4.9953 2022/07/26 18:16:00 - mmengine - INFO - Epoch(train) [3][180/3757] lr: 9.9970e-03 eta: 3 days, 2:33:01 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 3.2535 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9834 loss: 4.9834 2022/07/26 18:16:08 - mmengine - INFO - Epoch(train) [3][200/3757] lr: 9.9970e-03 eta: 3 days, 2:32:34 time: 0.3905 data_time: 0.0156 memory: 17007 grad_norm: 3.3447 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9725 loss: 4.9725 2022/07/26 18:16:16 - mmengine - INFO - Epoch(train) [3][220/3757] lr: 9.9970e-03 eta: 3 days, 2:32:06 time: 0.3900 data_time: 0.0146 memory: 17007 grad_norm: 3.1625 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9669 loss: 4.9669 2022/07/26 18:16:24 - mmengine - INFO - Epoch(train) [3][240/3757] lr: 9.9970e-03 eta: 3 days, 2:31:47 time: 0.3949 data_time: 0.0169 memory: 17007 grad_norm: 3.2385 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8829 loss: 4.8829 2022/07/26 18:16:32 - mmengine - INFO - Epoch(train) [3][260/3757] lr: 9.9970e-03 eta: 3 days, 2:31:21 time: 0.3910 data_time: 0.0143 memory: 17007 grad_norm: 3.1473 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 5.0219 loss: 5.0219 2022/07/26 18:16:40 - mmengine - INFO - Epoch(train) [3][280/3757] lr: 9.9970e-03 eta: 3 days, 2:31:12 time: 0.4004 data_time: 0.0150 memory: 17007 grad_norm: 3.1252 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9478 loss: 4.9478 2022/07/26 18:16:47 - mmengine - INFO - Epoch(train) [3][300/3757] lr: 9.9970e-03 eta: 3 days, 2:30:46 time: 0.3911 data_time: 0.0136 memory: 17007 grad_norm: 3.2062 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7911 loss: 4.7911 2022/07/26 18:16:55 - mmengine - INFO - Epoch(train) [3][320/3757] lr: 9.9970e-03 eta: 3 days, 2:30:21 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 3.2296 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9608 loss: 4.9608 2022/07/26 18:17:03 - mmengine - INFO - Epoch(train) [3][340/3757] lr: 9.9970e-03 eta: 3 days, 2:30:07 time: 0.3977 data_time: 0.0141 memory: 17007 grad_norm: 3.2744 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.7342 loss: 4.7342 2022/07/26 18:17:11 - mmengine - INFO - Epoch(train) [3][360/3757] lr: 9.9970e-03 eta: 3 days, 2:29:42 time: 0.3911 data_time: 0.0161 memory: 17007 grad_norm: 3.1968 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8702 loss: 4.8702 2022/07/26 18:17:19 - mmengine - INFO - Epoch(train) [3][380/3757] lr: 9.9970e-03 eta: 3 days, 2:29:12 time: 0.3881 data_time: 0.0139 memory: 17007 grad_norm: 3.2470 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6838 loss: 4.6838 2022/07/26 18:17:27 - mmengine - INFO - Epoch(train) [3][400/3757] lr: 9.9970e-03 eta: 3 days, 2:28:57 time: 0.3970 data_time: 0.0158 memory: 17007 grad_norm: 3.3153 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8116 loss: 4.8116 2022/07/26 18:17:35 - mmengine - INFO - Epoch(train) [3][420/3757] lr: 9.9970e-03 eta: 3 days, 2:28:35 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 3.3075 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8305 loss: 4.8305 2022/07/26 18:17:42 - mmengine - INFO - Epoch(train) [3][440/3757] lr: 9.9970e-03 eta: 3 days, 2:28:12 time: 0.3919 data_time: 0.0166 memory: 17007 grad_norm: 3.2696 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 5.0195 loss: 5.0195 2022/07/26 18:17:50 - mmengine - INFO - Epoch(train) [3][460/3757] lr: 9.9970e-03 eta: 3 days, 2:27:46 time: 0.3905 data_time: 0.0147 memory: 17007 grad_norm: 3.2615 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8034 loss: 4.8034 2022/07/26 18:17:58 - mmengine - INFO - Epoch(train) [3][480/3757] lr: 9.9970e-03 eta: 3 days, 2:27:19 time: 0.3901 data_time: 0.0154 memory: 17007 grad_norm: 3.3370 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7271 loss: 4.7271 2022/07/26 18:18:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:18:06 - mmengine - INFO - Epoch(train) [3][500/3757] lr: 9.9970e-03 eta: 3 days, 2:26:57 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 3.4722 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.9373 loss: 4.9373 2022/07/26 18:18:14 - mmengine - INFO - Epoch(train) [3][520/3757] lr: 9.9970e-03 eta: 3 days, 2:26:32 time: 0.3907 data_time: 0.0159 memory: 17007 grad_norm: 3.3908 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.9846 loss: 4.9846 2022/07/26 18:18:22 - mmengine - INFO - Epoch(train) [3][540/3757] lr: 9.9970e-03 eta: 3 days, 2:26:09 time: 0.3920 data_time: 0.0137 memory: 17007 grad_norm: 3.3510 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8452 loss: 4.8452 2022/07/26 18:18:29 - mmengine - INFO - Epoch(train) [3][560/3757] lr: 9.9970e-03 eta: 3 days, 2:25:41 time: 0.3894 data_time: 0.0152 memory: 17007 grad_norm: 3.3767 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9169 loss: 4.9169 2022/07/26 18:18:37 - mmengine - INFO - Epoch(train) [3][580/3757] lr: 9.9970e-03 eta: 3 days, 2:25:15 time: 0.3900 data_time: 0.0150 memory: 17007 grad_norm: 3.3988 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9548 loss: 4.9548 2022/07/26 18:18:45 - mmengine - INFO - Epoch(train) [3][600/3757] lr: 9.9970e-03 eta: 3 days, 2:24:53 time: 0.3923 data_time: 0.0165 memory: 17007 grad_norm: 3.1913 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.8860 loss: 4.8860 2022/07/26 18:18:53 - mmengine - INFO - Epoch(train) [3][620/3757] lr: 9.9970e-03 eta: 3 days, 2:24:25 time: 0.3890 data_time: 0.0145 memory: 17007 grad_norm: 3.2351 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8073 loss: 4.8073 2022/07/26 18:19:01 - mmengine - INFO - Epoch(train) [3][640/3757] lr: 9.9970e-03 eta: 3 days, 2:24:02 time: 0.3917 data_time: 0.0162 memory: 17007 grad_norm: 3.3152 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.9641 loss: 4.9641 2022/07/26 18:19:08 - mmengine - INFO - Epoch(train) [3][660/3757] lr: 9.9970e-03 eta: 3 days, 2:23:34 time: 0.3885 data_time: 0.0143 memory: 17007 grad_norm: 3.2839 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0277 loss: 5.0277 2022/07/26 18:19:16 - mmengine - INFO - Epoch(train) [3][680/3757] lr: 9.9970e-03 eta: 3 days, 2:23:09 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 3.3606 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9107 loss: 4.9107 2022/07/26 18:19:24 - mmengine - INFO - Epoch(train) [3][700/3757] lr: 9.9970e-03 eta: 3 days, 2:22:48 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 3.1824 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9407 loss: 4.9407 2022/07/26 18:19:32 - mmengine - INFO - Epoch(train) [3][720/3757] lr: 9.9970e-03 eta: 3 days, 2:22:24 time: 0.3910 data_time: 0.0155 memory: 17007 grad_norm: 3.1703 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9346 loss: 4.9346 2022/07/26 18:19:40 - mmengine - INFO - Epoch(train) [3][740/3757] lr: 9.9970e-03 eta: 3 days, 2:22:01 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 3.2792 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8161 loss: 4.8161 2022/07/26 18:19:48 - mmengine - INFO - Epoch(train) [3][760/3757] lr: 9.9970e-03 eta: 3 days, 2:21:35 time: 0.3898 data_time: 0.0154 memory: 17007 grad_norm: 3.2789 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8311 loss: 4.8311 2022/07/26 18:19:55 - mmengine - INFO - Epoch(train) [3][780/3757] lr: 9.9970e-03 eta: 3 days, 2:21:09 time: 0.3892 data_time: 0.0148 memory: 17007 grad_norm: 3.2169 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8865 loss: 4.8865 2022/07/26 18:20:03 - mmengine - INFO - Epoch(train) [3][800/3757] lr: 9.9970e-03 eta: 3 days, 2:21:00 time: 0.4007 data_time: 0.0161 memory: 17007 grad_norm: 3.3034 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8759 loss: 4.8759 2022/07/26 18:20:11 - mmengine - INFO - Epoch(train) [3][820/3757] lr: 9.9970e-03 eta: 3 days, 2:20:37 time: 0.3912 data_time: 0.0151 memory: 17007 grad_norm: 3.2922 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8849 loss: 4.8849 2022/07/26 18:20:19 - mmengine - INFO - Epoch(train) [3][840/3757] lr: 9.9970e-03 eta: 3 days, 2:20:11 time: 0.3891 data_time: 0.0152 memory: 17007 grad_norm: 3.2256 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.0646 loss: 5.0646 2022/07/26 18:20:27 - mmengine - INFO - Epoch(train) [3][860/3757] lr: 9.9970e-03 eta: 3 days, 2:19:51 time: 0.3931 data_time: 0.0162 memory: 17007 grad_norm: 3.3650 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9554 loss: 4.9554 2022/07/26 18:20:35 - mmengine - INFO - Epoch(train) [3][880/3757] lr: 9.9970e-03 eta: 3 days, 2:19:27 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 3.3610 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.7408 loss: 4.7408 2022/07/26 18:20:43 - mmengine - INFO - Epoch(train) [3][900/3757] lr: 9.9970e-03 eta: 3 days, 2:19:15 time: 0.3982 data_time: 0.0150 memory: 17007 grad_norm: 3.1904 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7848 loss: 4.7848 2022/07/26 18:20:50 - mmengine - INFO - Epoch(train) [3][920/3757] lr: 9.9970e-03 eta: 3 days, 2:18:52 time: 0.3909 data_time: 0.0157 memory: 17007 grad_norm: 3.3003 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8093 loss: 4.8093 2022/07/26 18:20:58 - mmengine - INFO - Epoch(train) [3][940/3757] lr: 9.9970e-03 eta: 3 days, 2:18:27 time: 0.3899 data_time: 0.0147 memory: 17007 grad_norm: 3.4940 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.6365 loss: 4.6365 2022/07/26 18:21:06 - mmengine - INFO - Epoch(train) [3][960/3757] lr: 9.9970e-03 eta: 3 days, 2:18:07 time: 0.3926 data_time: 0.0166 memory: 17007 grad_norm: 3.2584 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0739 loss: 5.0739 2022/07/26 18:21:14 - mmengine - INFO - Epoch(train) [3][980/3757] lr: 9.9970e-03 eta: 3 days, 2:17:42 time: 0.3901 data_time: 0.0144 memory: 17007 grad_norm: 3.2915 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.6417 loss: 4.6417 2022/07/26 18:21:22 - mmengine - INFO - Epoch(train) [3][1000/3757] lr: 9.9970e-03 eta: 3 days, 2:17:24 time: 0.3942 data_time: 0.0159 memory: 17007 grad_norm: 3.3763 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8899 loss: 4.8899 2022/07/26 18:21:30 - mmengine - INFO - Epoch(train) [3][1020/3757] lr: 9.9970e-03 eta: 3 days, 2:17:01 time: 0.3907 data_time: 0.0148 memory: 17007 grad_norm: 3.2515 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.8475 loss: 4.8475 2022/07/26 18:21:37 - mmengine - INFO - Epoch(train) [3][1040/3757] lr: 9.9970e-03 eta: 3 days, 2:16:38 time: 0.3910 data_time: 0.0154 memory: 17007 grad_norm: 3.2803 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9012 loss: 4.9012 2022/07/26 18:21:45 - mmengine - INFO - Epoch(train) [3][1060/3757] lr: 9.9970e-03 eta: 3 days, 2:16:16 time: 0.3913 data_time: 0.0159 memory: 17007 grad_norm: 3.3013 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7450 loss: 4.7450 2022/07/26 18:21:53 - mmengine - INFO - Epoch(train) [3][1080/3757] lr: 9.9970e-03 eta: 3 days, 2:15:53 time: 0.3914 data_time: 0.0150 memory: 17007 grad_norm: 3.3423 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0391 loss: 5.0391 2022/07/26 18:22:01 - mmengine - INFO - Epoch(train) [3][1100/3757] lr: 9.9970e-03 eta: 3 days, 2:15:33 time: 0.3921 data_time: 0.0166 memory: 17007 grad_norm: 3.2255 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9404 loss: 4.9404 2022/07/26 18:22:09 - mmengine - INFO - Epoch(train) [3][1120/3757] lr: 9.9970e-03 eta: 3 days, 2:15:08 time: 0.3894 data_time: 0.0166 memory: 17007 grad_norm: 3.2840 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9027 loss: 4.9027 2022/07/26 18:22:17 - mmengine - INFO - Epoch(train) [3][1140/3757] lr: 9.9970e-03 eta: 3 days, 2:14:49 time: 0.3936 data_time: 0.0128 memory: 17007 grad_norm: 3.3413 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8275 loss: 4.8275 2022/07/26 18:22:25 - mmengine - INFO - Epoch(train) [3][1160/3757] lr: 9.9970e-03 eta: 3 days, 2:14:51 time: 0.4065 data_time: 0.0169 memory: 17007 grad_norm: 3.1741 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8439 loss: 4.8439 2022/07/26 18:22:33 - mmengine - INFO - Epoch(train) [3][1180/3757] lr: 9.9970e-03 eta: 3 days, 2:14:33 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 3.3168 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8592 loss: 4.8592 2022/07/26 18:22:40 - mmengine - INFO - Epoch(train) [3][1200/3757] lr: 9.9970e-03 eta: 3 days, 2:14:13 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 3.2501 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6381 loss: 4.6381 2022/07/26 18:22:48 - mmengine - INFO - Epoch(train) [3][1220/3757] lr: 9.9970e-03 eta: 3 days, 2:13:49 time: 0.3898 data_time: 0.0149 memory: 17007 grad_norm: 3.2333 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9069 loss: 4.9069 2022/07/26 18:22:56 - mmengine - INFO - Epoch(train) [3][1240/3757] lr: 9.9970e-03 eta: 3 days, 2:13:29 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 3.2953 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8095 loss: 4.8095 2022/07/26 18:23:04 - mmengine - INFO - Epoch(train) [3][1260/3757] lr: 9.9970e-03 eta: 3 days, 2:13:08 time: 0.3914 data_time: 0.0161 memory: 17007 grad_norm: 3.2080 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7700 loss: 4.7700 2022/07/26 18:23:12 - mmengine - INFO - Epoch(train) [3][1280/3757] lr: 9.9970e-03 eta: 3 days, 2:12:58 time: 0.3988 data_time: 0.0159 memory: 17007 grad_norm: 3.2713 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7206 loss: 4.7206 2022/07/26 18:23:20 - mmengine - INFO - Epoch(train) [3][1300/3757] lr: 9.9970e-03 eta: 3 days, 2:12:32 time: 0.3890 data_time: 0.0147 memory: 17007 grad_norm: 3.2562 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8689 loss: 4.8689 2022/07/26 18:23:27 - mmengine - INFO - Epoch(train) [3][1320/3757] lr: 9.9970e-03 eta: 3 days, 2:12:11 time: 0.3916 data_time: 0.0168 memory: 17007 grad_norm: 3.3088 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8032 loss: 4.8032 2022/07/26 18:23:35 - mmengine - INFO - Epoch(train) [3][1340/3757] lr: 9.9970e-03 eta: 3 days, 2:11:49 time: 0.3904 data_time: 0.0146 memory: 17007 grad_norm: 3.1989 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9360 loss: 4.9360 2022/07/26 18:23:44 - mmengine - INFO - Epoch(train) [3][1360/3757] lr: 9.9970e-03 eta: 3 days, 2:12:05 time: 0.4162 data_time: 0.0159 memory: 17007 grad_norm: 3.1294 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9940 loss: 4.9940 2022/07/26 18:23:51 - mmengine - INFO - Epoch(train) [3][1380/3757] lr: 9.9970e-03 eta: 3 days, 2:11:42 time: 0.3904 data_time: 0.0148 memory: 17007 grad_norm: 3.3190 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7178 loss: 4.7178 2022/07/26 18:23:59 - mmengine - INFO - Epoch(train) [3][1400/3757] lr: 9.9970e-03 eta: 3 days, 2:11:19 time: 0.3901 data_time: 0.0158 memory: 17007 grad_norm: 3.3344 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8229 loss: 4.8229 2022/07/26 18:24:07 - mmengine - INFO - Epoch(train) [3][1420/3757] lr: 9.9970e-03 eta: 3 days, 2:11:08 time: 0.3982 data_time: 0.0149 memory: 17007 grad_norm: 3.2845 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7841 loss: 4.7841 2022/07/26 18:24:15 - mmengine - INFO - Epoch(train) [3][1440/3757] lr: 9.9970e-03 eta: 3 days, 2:10:49 time: 0.3928 data_time: 0.0168 memory: 17007 grad_norm: 3.1277 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6620 loss: 4.6620 2022/07/26 18:24:23 - mmengine - INFO - Epoch(train) [3][1460/3757] lr: 9.9970e-03 eta: 3 days, 2:10:30 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 3.3320 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8831 loss: 4.8831 2022/07/26 18:24:31 - mmengine - INFO - Epoch(train) [3][1480/3757] lr: 9.9970e-03 eta: 3 days, 2:10:22 time: 0.4006 data_time: 0.0159 memory: 17007 grad_norm: 3.2406 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8570 loss: 4.8570 2022/07/26 18:24:33 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:24:39 - mmengine - INFO - Epoch(train) [3][1500/3757] lr: 9.9970e-03 eta: 3 days, 2:09:58 time: 0.3889 data_time: 0.0148 memory: 17007 grad_norm: 3.3646 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8269 loss: 4.8269 2022/07/26 18:24:47 - mmengine - INFO - Epoch(train) [3][1520/3757] lr: 9.9970e-03 eta: 3 days, 2:09:43 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 3.3229 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7850 loss: 4.7850 2022/07/26 18:24:54 - mmengine - INFO - Epoch(train) [3][1540/3757] lr: 9.9970e-03 eta: 3 days, 2:09:22 time: 0.3916 data_time: 0.0154 memory: 17007 grad_norm: 3.2478 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8402 loss: 4.8402 2022/07/26 18:25:02 - mmengine - INFO - Epoch(train) [3][1560/3757] lr: 9.9970e-03 eta: 3 days, 2:09:06 time: 0.3942 data_time: 0.0159 memory: 17007 grad_norm: 3.2445 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.0228 loss: 5.0228 2022/07/26 18:25:10 - mmengine - INFO - Epoch(train) [3][1580/3757] lr: 9.9970e-03 eta: 3 days, 2:08:49 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 3.2462 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8663 loss: 4.8663 2022/07/26 18:25:18 - mmengine - INFO - Epoch(train) [3][1600/3757] lr: 9.9970e-03 eta: 3 days, 2:08:28 time: 0.3912 data_time: 0.0164 memory: 17007 grad_norm: 3.3773 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8814 loss: 4.8814 2022/07/26 18:25:26 - mmengine - INFO - Epoch(train) [3][1620/3757] lr: 9.9970e-03 eta: 3 days, 2:08:35 time: 0.4104 data_time: 0.0185 memory: 17007 grad_norm: 3.2157 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.8560 loss: 4.8560 2022/07/26 18:25:34 - mmengine - INFO - Epoch(train) [3][1640/3757] lr: 9.9970e-03 eta: 3 days, 2:08:25 time: 0.3984 data_time: 0.0169 memory: 17007 grad_norm: 3.1825 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6641 loss: 4.6641 2022/07/26 18:25:42 - mmengine - INFO - Epoch(train) [3][1660/3757] lr: 9.9970e-03 eta: 3 days, 2:08:07 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 3.3261 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6798 loss: 4.6798 2022/07/26 18:25:50 - mmengine - INFO - Epoch(train) [3][1680/3757] lr: 9.9970e-03 eta: 3 days, 2:07:44 time: 0.3898 data_time: 0.0158 memory: 17007 grad_norm: 3.2982 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7181 loss: 4.7181 2022/07/26 18:25:58 - mmengine - INFO - Epoch(train) [3][1700/3757] lr: 9.9970e-03 eta: 3 days, 2:07:22 time: 0.3906 data_time: 0.0155 memory: 17007 grad_norm: 3.2582 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7338 loss: 4.7338 2022/07/26 18:26:06 - mmengine - INFO - Epoch(train) [3][1720/3757] lr: 9.9970e-03 eta: 3 days, 2:07:14 time: 0.4001 data_time: 0.0169 memory: 17007 grad_norm: 3.2251 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6467 loss: 4.6467 2022/07/26 18:26:14 - mmengine - INFO - Epoch(train) [3][1740/3757] lr: 9.9970e-03 eta: 3 days, 2:06:58 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 3.4017 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9285 loss: 4.9285 2022/07/26 18:26:22 - mmengine - INFO - Epoch(train) [3][1760/3757] lr: 9.9970e-03 eta: 3 days, 2:06:53 time: 0.4016 data_time: 0.0168 memory: 17007 grad_norm: 3.2522 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9581 loss: 4.9581 2022/07/26 18:26:29 - mmengine - INFO - Epoch(train) [3][1780/3757] lr: 9.9970e-03 eta: 3 days, 2:06:29 time: 0.3890 data_time: 0.0137 memory: 17007 grad_norm: 3.3099 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0287 loss: 5.0287 2022/07/26 18:26:37 - mmengine - INFO - Epoch(train) [3][1800/3757] lr: 9.9970e-03 eta: 3 days, 2:06:06 time: 0.3895 data_time: 0.0152 memory: 17007 grad_norm: 3.3595 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8277 loss: 4.8277 2022/07/26 18:26:45 - mmengine - INFO - Epoch(train) [3][1820/3757] lr: 9.9970e-03 eta: 3 days, 2:06:11 time: 0.4090 data_time: 0.0155 memory: 17007 grad_norm: 3.2788 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9258 loss: 4.9258 2022/07/26 18:26:53 - mmengine - INFO - Epoch(train) [3][1840/3757] lr: 9.9970e-03 eta: 3 days, 2:05:49 time: 0.3907 data_time: 0.0157 memory: 17007 grad_norm: 3.2447 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5647 loss: 4.5647 2022/07/26 18:27:01 - mmengine - INFO - Epoch(train) [3][1860/3757] lr: 9.9970e-03 eta: 3 days, 2:05:31 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 3.4489 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6709 loss: 4.6709 2022/07/26 18:27:09 - mmengine - INFO - Epoch(train) [3][1880/3757] lr: 9.9970e-03 eta: 3 days, 2:05:11 time: 0.3913 data_time: 0.0166 memory: 17007 grad_norm: 3.2541 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8048 loss: 4.8048 2022/07/26 18:27:17 - mmengine - INFO - Epoch(train) [3][1900/3757] lr: 9.9970e-03 eta: 3 days, 2:04:49 time: 0.3898 data_time: 0.0146 memory: 17007 grad_norm: 3.2709 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.0388 loss: 5.0388 2022/07/26 18:27:25 - mmengine - INFO - Epoch(train) [3][1920/3757] lr: 9.9970e-03 eta: 3 days, 2:04:32 time: 0.3937 data_time: 0.0167 memory: 17007 grad_norm: 3.2232 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8890 loss: 4.8890 2022/07/26 18:27:32 - mmengine - INFO - Epoch(train) [3][1940/3757] lr: 9.9970e-03 eta: 3 days, 2:04:11 time: 0.3903 data_time: 0.0156 memory: 17007 grad_norm: 3.2487 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8524 loss: 4.8524 2022/07/26 18:27:40 - mmengine - INFO - Epoch(train) [3][1960/3757] lr: 9.9970e-03 eta: 3 days, 2:03:49 time: 0.3905 data_time: 0.0146 memory: 17007 grad_norm: 3.3313 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8443 loss: 4.8443 2022/07/26 18:27:48 - mmengine - INFO - Epoch(train) [3][1980/3757] lr: 9.9970e-03 eta: 3 days, 2:03:29 time: 0.3908 data_time: 0.0136 memory: 17007 grad_norm: 3.2758 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8987 loss: 4.8987 2022/07/26 18:27:56 - mmengine - INFO - Epoch(train) [3][2000/3757] lr: 9.9970e-03 eta: 3 days, 2:03:07 time: 0.3901 data_time: 0.0146 memory: 17007 grad_norm: 3.3089 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6480 loss: 4.6480 2022/07/26 18:28:04 - mmengine - INFO - Epoch(train) [3][2020/3757] lr: 9.9970e-03 eta: 3 days, 2:02:48 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 3.3008 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5634 loss: 4.5634 2022/07/26 18:28:11 - mmengine - INFO - Epoch(train) [3][2040/3757] lr: 9.9970e-03 eta: 3 days, 2:02:28 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 3.3212 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8060 loss: 4.8060 2022/07/26 18:28:19 - mmengine - INFO - Epoch(train) [3][2060/3757] lr: 9.9970e-03 eta: 3 days, 2:02:07 time: 0.3900 data_time: 0.0146 memory: 17007 grad_norm: 3.2732 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9190 loss: 4.9190 2022/07/26 18:28:27 - mmengine - INFO - Epoch(train) [3][2080/3757] lr: 9.9970e-03 eta: 3 days, 2:01:53 time: 0.3958 data_time: 0.0168 memory: 17007 grad_norm: 3.3847 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6739 loss: 4.6739 2022/07/26 18:28:35 - mmengine - INFO - Epoch(train) [3][2100/3757] lr: 9.9970e-03 eta: 3 days, 2:01:50 time: 0.4036 data_time: 0.0160 memory: 17007 grad_norm: 3.5666 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7279 loss: 4.7279 2022/07/26 18:28:43 - mmengine - INFO - Epoch(train) [3][2120/3757] lr: 9.9970e-03 eta: 3 days, 2:01:32 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 3.5191 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7609 loss: 4.7609 2022/07/26 18:28:51 - mmengine - INFO - Epoch(train) [3][2140/3757] lr: 9.9970e-03 eta: 3 days, 2:01:17 time: 0.3948 data_time: 0.0147 memory: 17007 grad_norm: 3.2819 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8194 loss: 4.8194 2022/07/26 18:28:59 - mmengine - INFO - Epoch(train) [3][2160/3757] lr: 9.9970e-03 eta: 3 days, 2:00:55 time: 0.3894 data_time: 0.0151 memory: 17007 grad_norm: 3.3146 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.6332 loss: 4.6332 2022/07/26 18:29:07 - mmengine - INFO - Epoch(train) [3][2180/3757] lr: 9.9970e-03 eta: 3 days, 2:00:36 time: 0.3918 data_time: 0.0154 memory: 17007 grad_norm: 3.2754 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8417 loss: 4.8417 2022/07/26 18:29:14 - mmengine - INFO - Epoch(train) [3][2200/3757] lr: 9.9970e-03 eta: 3 days, 2:00:16 time: 0.3906 data_time: 0.0154 memory: 17007 grad_norm: 3.2653 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9435 loss: 4.9435 2022/07/26 18:29:23 - mmengine - INFO - Epoch(train) [3][2220/3757] lr: 9.9970e-03 eta: 3 days, 2:00:27 time: 0.4141 data_time: 0.0158 memory: 17007 grad_norm: 3.3128 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6135 loss: 4.6135 2022/07/26 18:29:31 - mmengine - INFO - Epoch(train) [3][2240/3757] lr: 9.9970e-03 eta: 3 days, 2:00:09 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 3.1866 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8626 loss: 4.8626 2022/07/26 18:29:38 - mmengine - INFO - Epoch(train) [3][2260/3757] lr: 9.9970e-03 eta: 3 days, 1:59:47 time: 0.3898 data_time: 0.0145 memory: 17007 grad_norm: 3.3403 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8833 loss: 4.8833 2022/07/26 18:29:46 - mmengine - INFO - Epoch(train) [3][2280/3757] lr: 9.9970e-03 eta: 3 days, 1:59:35 time: 0.3968 data_time: 0.0164 memory: 17007 grad_norm: 3.4350 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5395 loss: 4.5395 2022/07/26 18:29:54 - mmengine - INFO - Epoch(train) [3][2300/3757] lr: 9.9970e-03 eta: 3 days, 1:59:16 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 3.2960 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.8058 loss: 4.8058 2022/07/26 18:30:02 - mmengine - INFO - Epoch(train) [3][2320/3757] lr: 9.9970e-03 eta: 3 days, 1:59:05 time: 0.3977 data_time: 0.0166 memory: 17007 grad_norm: 3.2004 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7722 loss: 4.7722 2022/07/26 18:30:10 - mmengine - INFO - Epoch(train) [3][2340/3757] lr: 9.9970e-03 eta: 3 days, 1:58:43 time: 0.3895 data_time: 0.0150 memory: 17007 grad_norm: 3.1639 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8008 loss: 4.8008 2022/07/26 18:30:18 - mmengine - INFO - Epoch(train) [3][2360/3757] lr: 9.9970e-03 eta: 3 days, 1:58:22 time: 0.3897 data_time: 0.0150 memory: 17007 grad_norm: 3.2591 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8076 loss: 4.8076 2022/07/26 18:30:26 - mmengine - INFO - Epoch(train) [3][2380/3757] lr: 9.9970e-03 eta: 3 days, 1:58:28 time: 0.4096 data_time: 0.0152 memory: 17007 grad_norm: 3.2658 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8827 loss: 4.8827 2022/07/26 18:30:34 - mmengine - INFO - Epoch(train) [3][2400/3757] lr: 9.9970e-03 eta: 3 days, 1:58:07 time: 0.3900 data_time: 0.0156 memory: 17007 grad_norm: 3.2625 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7591 loss: 4.7591 2022/07/26 18:30:42 - mmengine - INFO - Epoch(train) [3][2420/3757] lr: 9.9970e-03 eta: 3 days, 1:57:54 time: 0.3964 data_time: 0.0144 memory: 17007 grad_norm: 3.3377 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6307 loss: 4.6307 2022/07/26 18:30:49 - mmengine - INFO - Epoch(train) [3][2440/3757] lr: 9.9970e-03 eta: 3 days, 1:57:36 time: 0.3918 data_time: 0.0166 memory: 17007 grad_norm: 3.3373 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7379 loss: 4.7379 2022/07/26 18:30:57 - mmengine - INFO - Epoch(train) [3][2460/3757] lr: 9.9970e-03 eta: 3 days, 1:57:16 time: 0.3905 data_time: 0.0152 memory: 17007 grad_norm: 3.3285 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.9288 loss: 4.9288 2022/07/26 18:31:05 - mmengine - INFO - Epoch(train) [3][2480/3757] lr: 9.9970e-03 eta: 3 days, 1:57:07 time: 0.3989 data_time: 0.0163 memory: 17007 grad_norm: 3.2986 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7757 loss: 4.7757 2022/07/26 18:31:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:31:13 - mmengine - INFO - Epoch(train) [3][2500/3757] lr: 9.9970e-03 eta: 3 days, 1:56:49 time: 0.3925 data_time: 0.0147 memory: 17007 grad_norm: 3.3579 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7575 loss: 4.7575 2022/07/26 18:31:22 - mmengine - INFO - Epoch(train) [3][2520/3757] lr: 9.9970e-03 eta: 3 days, 1:57:19 time: 0.4284 data_time: 0.0152 memory: 17007 grad_norm: 3.3250 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8339 loss: 4.8339 2022/07/26 18:31:29 - mmengine - INFO - Epoch(train) [3][2540/3757] lr: 9.9970e-03 eta: 3 days, 1:56:58 time: 0.3898 data_time: 0.0132 memory: 17007 grad_norm: 3.3667 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9867 loss: 4.9867 2022/07/26 18:31:37 - mmengine - INFO - Epoch(train) [3][2560/3757] lr: 9.9970e-03 eta: 3 days, 1:56:39 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 3.4474 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5967 loss: 4.5967 2022/07/26 18:31:45 - mmengine - INFO - Epoch(train) [3][2580/3757] lr: 9.9970e-03 eta: 3 days, 1:56:35 time: 0.4023 data_time: 0.0152 memory: 17007 grad_norm: 3.1290 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8299 loss: 4.8299 2022/07/26 18:31:53 - mmengine - INFO - Epoch(train) [3][2600/3757] lr: 9.9970e-03 eta: 3 days, 1:56:14 time: 0.3901 data_time: 0.0157 memory: 17007 grad_norm: 3.3453 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8354 loss: 4.8354 2022/07/26 18:32:01 - mmengine - INFO - Epoch(train) [3][2620/3757] lr: 9.9970e-03 eta: 3 days, 1:56:01 time: 0.3952 data_time: 0.0151 memory: 17007 grad_norm: 3.3617 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7007 loss: 4.7007 2022/07/26 18:32:09 - mmengine - INFO - Epoch(train) [3][2640/3757] lr: 9.9970e-03 eta: 3 days, 1:55:42 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 3.3494 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7235 loss: 4.7235 2022/07/26 18:32:17 - mmengine - INFO - Epoch(train) [3][2660/3757] lr: 9.9970e-03 eta: 3 days, 1:55:21 time: 0.3899 data_time: 0.0149 memory: 17007 grad_norm: 3.1982 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7126 loss: 4.7126 2022/07/26 18:32:24 - mmengine - INFO - Epoch(train) [3][2680/3757] lr: 9.9970e-03 eta: 3 days, 1:55:07 time: 0.3949 data_time: 0.0167 memory: 17007 grad_norm: 3.2679 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5615 loss: 4.5615 2022/07/26 18:32:32 - mmengine - INFO - Epoch(train) [3][2700/3757] lr: 9.9970e-03 eta: 3 days, 1:54:46 time: 0.3894 data_time: 0.0147 memory: 17007 grad_norm: 3.4309 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.7573 loss: 4.7573 2022/07/26 18:32:40 - mmengine - INFO - Epoch(train) [3][2720/3757] lr: 9.9970e-03 eta: 3 days, 1:54:25 time: 0.3901 data_time: 0.0150 memory: 17007 grad_norm: 3.3542 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6612 loss: 4.6612 2022/07/26 18:32:48 - mmengine - INFO - Epoch(train) [3][2740/3757] lr: 9.9970e-03 eta: 3 days, 1:54:20 time: 0.4015 data_time: 0.0151 memory: 17007 grad_norm: 3.3163 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9148 loss: 4.9148 2022/07/26 18:32:56 - mmengine - INFO - Epoch(train) [3][2760/3757] lr: 9.9970e-03 eta: 3 days, 1:54:02 time: 0.3917 data_time: 0.0158 memory: 17007 grad_norm: 3.3973 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0645 loss: 5.0645 2022/07/26 18:33:04 - mmengine - INFO - Epoch(train) [3][2780/3757] lr: 9.9970e-03 eta: 3 days, 1:53:52 time: 0.3983 data_time: 0.0167 memory: 17007 grad_norm: 3.3874 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6843 loss: 4.6843 2022/07/26 18:33:12 - mmengine - INFO - Epoch(train) [3][2800/3757] lr: 9.9970e-03 eta: 3 days, 1:53:36 time: 0.3927 data_time: 0.0175 memory: 17007 grad_norm: 3.3920 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6352 loss: 4.6352 2022/07/26 18:33:20 - mmengine - INFO - Epoch(train) [3][2820/3757] lr: 9.9970e-03 eta: 3 days, 1:53:15 time: 0.3892 data_time: 0.0144 memory: 17007 grad_norm: 3.3451 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6269 loss: 4.6269 2022/07/26 18:33:28 - mmengine - INFO - Epoch(train) [3][2840/3757] lr: 9.9970e-03 eta: 3 days, 1:53:11 time: 0.4025 data_time: 0.0156 memory: 17007 grad_norm: 3.3877 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.8578 loss: 4.8578 2022/07/26 18:33:35 - mmengine - INFO - Epoch(train) [3][2860/3757] lr: 9.9970e-03 eta: 3 days, 1:52:53 time: 0.3917 data_time: 0.0149 memory: 17007 grad_norm: 3.4465 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.9885 loss: 4.9885 2022/07/26 18:33:43 - mmengine - INFO - Epoch(train) [3][2880/3757] lr: 9.9970e-03 eta: 3 days, 1:52:50 time: 0.4039 data_time: 0.0153 memory: 17007 grad_norm: 3.3483 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.6405 loss: 4.6405 2022/07/26 18:33:51 - mmengine - INFO - Epoch(train) [3][2900/3757] lr: 9.9970e-03 eta: 3 days, 1:52:34 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 3.3300 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7302 loss: 4.7302 2022/07/26 18:33:59 - mmengine - INFO - Epoch(train) [3][2920/3757] lr: 9.9970e-03 eta: 3 days, 1:52:12 time: 0.3890 data_time: 0.0147 memory: 17007 grad_norm: 3.4025 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.8379 loss: 4.8379 2022/07/26 18:34:07 - mmengine - INFO - Epoch(train) [3][2940/3757] lr: 9.9970e-03 eta: 3 days, 1:52:07 time: 0.4015 data_time: 0.0149 memory: 17007 grad_norm: 3.3152 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5232 loss: 4.5232 2022/07/26 18:34:15 - mmengine - INFO - Epoch(train) [3][2960/3757] lr: 9.9970e-03 eta: 3 days, 1:51:49 time: 0.3911 data_time: 0.0168 memory: 17007 grad_norm: 3.3449 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6782 loss: 4.6782 2022/07/26 18:34:23 - mmengine - INFO - Epoch(train) [3][2980/3757] lr: 9.9970e-03 eta: 3 days, 1:51:37 time: 0.3969 data_time: 0.0144 memory: 17007 grad_norm: 3.4163 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.0376 loss: 5.0376 2022/07/26 18:34:31 - mmengine - INFO - Epoch(train) [3][3000/3757] lr: 9.9970e-03 eta: 3 days, 1:51:18 time: 0.3902 data_time: 0.0158 memory: 17007 grad_norm: 3.2771 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7966 loss: 4.7966 2022/07/26 18:34:39 - mmengine - INFO - Epoch(train) [3][3020/3757] lr: 9.9970e-03 eta: 3 days, 1:50:59 time: 0.3911 data_time: 0.0161 memory: 17007 grad_norm: 3.3551 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8363 loss: 4.8363 2022/07/26 18:34:47 - mmengine - INFO - Epoch(train) [3][3040/3757] lr: 9.9970e-03 eta: 3 days, 1:50:51 time: 0.3992 data_time: 0.0151 memory: 17007 grad_norm: 3.4208 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7777 loss: 4.7777 2022/07/26 18:34:54 - mmengine - INFO - Epoch(train) [3][3060/3757] lr: 9.9970e-03 eta: 3 days, 1:50:32 time: 0.3907 data_time: 0.0153 memory: 17007 grad_norm: 3.3226 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4697 loss: 4.4697 2022/07/26 18:35:02 - mmengine - INFO - Epoch(train) [3][3080/3757] lr: 9.9970e-03 eta: 3 days, 1:50:17 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 3.6577 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7356 loss: 4.7356 2022/07/26 18:35:10 - mmengine - INFO - Epoch(train) [3][3100/3757] lr: 9.9970e-03 eta: 3 days, 1:49:57 time: 0.3893 data_time: 0.0151 memory: 17007 grad_norm: 3.5069 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.7296 loss: 4.7296 2022/07/26 18:35:18 - mmengine - INFO - Epoch(train) [3][3120/3757] lr: 9.9970e-03 eta: 3 days, 1:49:40 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 3.3925 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6808 loss: 4.6808 2022/07/26 18:35:26 - mmengine - INFO - Epoch(train) [3][3140/3757] lr: 9.9970e-03 eta: 3 days, 1:49:29 time: 0.3966 data_time: 0.0173 memory: 17007 grad_norm: 3.4135 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6201 loss: 4.6201 2022/07/26 18:35:34 - mmengine - INFO - Epoch(train) [3][3160/3757] lr: 9.9970e-03 eta: 3 days, 1:49:13 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 3.3839 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.7445 loss: 4.7445 2022/07/26 18:35:42 - mmengine - INFO - Epoch(train) [3][3180/3757] lr: 9.9970e-03 eta: 3 days, 1:48:59 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 3.4684 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5282 loss: 4.5282 2022/07/26 18:35:49 - mmengine - INFO - Epoch(train) [3][3200/3757] lr: 9.9970e-03 eta: 3 days, 1:48:40 time: 0.3906 data_time: 0.0155 memory: 17007 grad_norm: 3.2932 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7865 loss: 4.7865 2022/07/26 18:35:57 - mmengine - INFO - Epoch(train) [3][3220/3757] lr: 9.9970e-03 eta: 3 days, 1:48:24 time: 0.3926 data_time: 0.0163 memory: 17007 grad_norm: 3.3135 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7589 loss: 4.7589 2022/07/26 18:36:05 - mmengine - INFO - Epoch(train) [3][3240/3757] lr: 9.9970e-03 eta: 3 days, 1:48:08 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 3.3999 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6441 loss: 4.6441 2022/07/26 18:36:13 - mmengine - INFO - Epoch(train) [3][3260/3757] lr: 9.9970e-03 eta: 3 days, 1:47:51 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 3.4223 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6832 loss: 4.6832 2022/07/26 18:36:21 - mmengine - INFO - Epoch(train) [3][3280/3757] lr: 9.9970e-03 eta: 3 days, 1:47:33 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 3.3018 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6699 loss: 4.6699 2022/07/26 18:36:29 - mmengine - INFO - Epoch(train) [3][3300/3757] lr: 9.9970e-03 eta: 3 days, 1:47:16 time: 0.3914 data_time: 0.0140 memory: 17007 grad_norm: 3.2998 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.9629 loss: 4.9629 2022/07/26 18:36:36 - mmengine - INFO - Epoch(train) [3][3320/3757] lr: 9.9970e-03 eta: 3 days, 1:47:01 time: 0.3937 data_time: 0.0169 memory: 17007 grad_norm: 3.4682 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.6608 loss: 4.6608 2022/07/26 18:36:44 - mmengine - INFO - Epoch(train) [3][3340/3757] lr: 9.9970e-03 eta: 3 days, 1:46:42 time: 0.3903 data_time: 0.0149 memory: 17007 grad_norm: 3.3634 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7424 loss: 4.7424 2022/07/26 18:36:52 - mmengine - INFO - Epoch(train) [3][3360/3757] lr: 9.9970e-03 eta: 3 days, 1:46:25 time: 0.3922 data_time: 0.0171 memory: 17007 grad_norm: 3.3899 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7550 loss: 4.7550 2022/07/26 18:37:00 - mmengine - INFO - Epoch(train) [3][3380/3757] lr: 9.9970e-03 eta: 3 days, 1:46:08 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 3.4252 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6482 loss: 4.6482 2022/07/26 18:37:08 - mmengine - INFO - Epoch(train) [3][3400/3757] lr: 9.9970e-03 eta: 3 days, 1:45:55 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 3.3250 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7821 loss: 4.7821 2022/07/26 18:37:16 - mmengine - INFO - Epoch(train) [3][3420/3757] lr: 9.9970e-03 eta: 3 days, 1:45:37 time: 0.3908 data_time: 0.0151 memory: 17007 grad_norm: 3.3590 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8415 loss: 4.8415 2022/07/26 18:37:23 - mmengine - INFO - Epoch(train) [3][3440/3757] lr: 9.9970e-03 eta: 3 days, 1:45:20 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 3.3455 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6212 loss: 4.6212 2022/07/26 18:37:31 - mmengine - INFO - Epoch(train) [3][3460/3757] lr: 9.9970e-03 eta: 3 days, 1:45:04 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 3.4885 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.9173 loss: 4.9173 2022/07/26 18:37:39 - mmengine - INFO - Epoch(train) [3][3480/3757] lr: 9.9970e-03 eta: 3 days, 1:44:45 time: 0.3899 data_time: 0.0151 memory: 17007 grad_norm: 3.5199 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5846 loss: 4.5846 2022/07/26 18:37:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:37:47 - mmengine - INFO - Epoch(train) [3][3500/3757] lr: 9.9970e-03 eta: 3 days, 1:44:29 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 3.3345 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5099 loss: 4.5099 2022/07/26 18:37:55 - mmengine - INFO - Epoch(train) [3][3520/3757] lr: 9.9970e-03 eta: 3 days, 1:44:11 time: 0.3905 data_time: 0.0153 memory: 17007 grad_norm: 3.3278 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7013 loss: 4.7013 2022/07/26 18:38:03 - mmengine - INFO - Epoch(train) [3][3540/3757] lr: 9.9970e-03 eta: 3 days, 1:43:57 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 3.4297 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4459 loss: 4.4459 2022/07/26 18:38:10 - mmengine - INFO - Epoch(train) [3][3560/3757] lr: 9.9970e-03 eta: 3 days, 1:43:40 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 3.5003 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.7586 loss: 4.7586 2022/07/26 18:38:18 - mmengine - INFO - Epoch(train) [3][3580/3757] lr: 9.9970e-03 eta: 3 days, 1:43:21 time: 0.3905 data_time: 0.0152 memory: 17007 grad_norm: 3.6437 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6000 loss: 4.6000 2022/07/26 18:38:26 - mmengine - INFO - Epoch(train) [3][3600/3757] lr: 9.9970e-03 eta: 3 days, 1:43:06 time: 0.3926 data_time: 0.0171 memory: 17007 grad_norm: 3.3425 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8467 loss: 4.8467 2022/07/26 18:38:34 - mmengine - INFO - Epoch(train) [3][3620/3757] lr: 9.9970e-03 eta: 3 days, 1:43:10 time: 0.4089 data_time: 0.0144 memory: 17007 grad_norm: 3.4138 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7821 loss: 4.7821 2022/07/26 18:38:42 - mmengine - INFO - Epoch(train) [3][3640/3757] lr: 9.9970e-03 eta: 3 days, 1:42:56 time: 0.3942 data_time: 0.0165 memory: 17007 grad_norm: 3.3303 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7551 loss: 4.7551 2022/07/26 18:38:50 - mmengine - INFO - Epoch(train) [3][3660/3757] lr: 9.9970e-03 eta: 3 days, 1:42:38 time: 0.3907 data_time: 0.0143 memory: 17007 grad_norm: 3.4309 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7317 loss: 4.7317 2022/07/26 18:38:58 - mmengine - INFO - Epoch(train) [3][3680/3757] lr: 9.9970e-03 eta: 3 days, 1:42:20 time: 0.3905 data_time: 0.0150 memory: 17007 grad_norm: 3.3985 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8049 loss: 4.8049 2022/07/26 18:39:06 - mmengine - INFO - Epoch(train) [3][3700/3757] lr: 9.9970e-03 eta: 3 days, 1:42:04 time: 0.3921 data_time: 0.0165 memory: 17007 grad_norm: 3.3383 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.5855 loss: 4.5855 2022/07/26 18:39:13 - mmengine - INFO - Epoch(train) [3][3720/3757] lr: 9.9970e-03 eta: 3 days, 1:41:47 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 3.3760 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8553 loss: 4.8553 2022/07/26 18:39:21 - mmengine - INFO - Epoch(train) [3][3740/3757] lr: 9.9970e-03 eta: 3 days, 1:41:33 time: 0.3941 data_time: 0.0159 memory: 17007 grad_norm: 3.4151 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3859 loss: 4.3859 2022/07/26 18:39:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:39:28 - mmengine - INFO - Epoch(train) [3][3757/3757] lr: 9.9970e-03 eta: 3 days, 1:41:33 time: 0.3868 data_time: 0.0161 memory: 17007 grad_norm: 3.4428 top1_acc: 0.0000 top5_acc: 0.5714 loss_cls: 4.5614 loss: 4.5614 2022/07/26 18:39:28 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/07/26 18:39:38 - mmengine - INFO - Epoch(train) [4][20/3757] lr: 9.9931e-03 eta: 3 days, 1:35:18 time: 0.4324 data_time: 0.0575 memory: 17007 grad_norm: 3.3617 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6424 loss: 4.6424 2022/07/26 18:39:46 - mmengine - INFO - Epoch(train) [4][40/3757] lr: 9.9931e-03 eta: 3 days, 1:35:09 time: 0.3974 data_time: 0.0159 memory: 17007 grad_norm: 3.4825 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4832 loss: 4.4832 2022/07/26 18:39:54 - mmengine - INFO - Epoch(train) [4][60/3757] lr: 9.9931e-03 eta: 3 days, 1:34:55 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 3.4637 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.4931 loss: 4.4931 2022/07/26 18:40:02 - mmengine - INFO - Epoch(train) [4][80/3757] lr: 9.9931e-03 eta: 3 days, 1:34:46 time: 0.3974 data_time: 0.0151 memory: 17007 grad_norm: 3.3758 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6185 loss: 4.6185 2022/07/26 18:40:10 - mmengine - INFO - Epoch(train) [4][100/3757] lr: 9.9931e-03 eta: 3 days, 1:34:28 time: 0.3898 data_time: 0.0145 memory: 17007 grad_norm: 3.4812 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7058 loss: 4.7058 2022/07/26 18:40:18 - mmengine - INFO - Epoch(train) [4][120/3757] lr: 9.9931e-03 eta: 3 days, 1:34:12 time: 0.3919 data_time: 0.0168 memory: 17007 grad_norm: 3.2801 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6433 loss: 4.6433 2022/07/26 18:40:26 - mmengine - INFO - Epoch(train) [4][140/3757] lr: 9.9931e-03 eta: 3 days, 1:33:55 time: 0.3901 data_time: 0.0147 memory: 17007 grad_norm: 3.3297 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8551 loss: 4.8551 2022/07/26 18:40:34 - mmengine - INFO - Epoch(train) [4][160/3757] lr: 9.9931e-03 eta: 3 days, 1:33:42 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 3.3684 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6589 loss: 4.6589 2022/07/26 18:40:41 - mmengine - INFO - Epoch(train) [4][180/3757] lr: 9.9931e-03 eta: 3 days, 1:33:30 time: 0.3949 data_time: 0.0143 memory: 17007 grad_norm: 3.3312 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4206 loss: 4.4206 2022/07/26 18:40:49 - mmengine - INFO - Epoch(train) [4][200/3757] lr: 9.9931e-03 eta: 3 days, 1:33:19 time: 0.3958 data_time: 0.0159 memory: 17007 grad_norm: 3.4223 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4915 loss: 4.4915 2022/07/26 18:40:57 - mmengine - INFO - Epoch(train) [4][220/3757] lr: 9.9931e-03 eta: 3 days, 1:33:03 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 3.4395 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.5594 loss: 4.5594 2022/07/26 18:41:05 - mmengine - INFO - Epoch(train) [4][240/3757] lr: 9.9931e-03 eta: 3 days, 1:32:49 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 3.5411 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.8621 loss: 4.8621 2022/07/26 18:41:13 - mmengine - INFO - Epoch(train) [4][260/3757] lr: 9.9931e-03 eta: 3 days, 1:32:34 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 3.5415 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.6775 loss: 4.6775 2022/07/26 18:41:21 - mmengine - INFO - Epoch(train) [4][280/3757] lr: 9.9931e-03 eta: 3 days, 1:32:18 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 3.3571 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5300 loss: 4.5300 2022/07/26 18:41:29 - mmengine - INFO - Epoch(train) [4][300/3757] lr: 9.9931e-03 eta: 3 days, 1:32:01 time: 0.3905 data_time: 0.0142 memory: 17007 grad_norm: 3.3449 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.8757 loss: 4.8757 2022/07/26 18:41:36 - mmengine - INFO - Epoch(train) [4][320/3757] lr: 9.9931e-03 eta: 3 days, 1:31:48 time: 0.3936 data_time: 0.0174 memory: 17007 grad_norm: 3.3356 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7189 loss: 4.7189 2022/07/26 18:41:44 - mmengine - INFO - Epoch(train) [4][340/3757] lr: 9.9931e-03 eta: 3 days, 1:31:38 time: 0.3966 data_time: 0.0150 memory: 17007 grad_norm: 3.5391 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6710 loss: 4.6710 2022/07/26 18:41:52 - mmengine - INFO - Epoch(train) [4][360/3757] lr: 9.9931e-03 eta: 3 days, 1:31:24 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 3.5756 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6060 loss: 4.6060 2022/07/26 18:42:00 - mmengine - INFO - Epoch(train) [4][380/3757] lr: 9.9931e-03 eta: 3 days, 1:31:08 time: 0.3908 data_time: 0.0158 memory: 17007 grad_norm: 3.3852 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.5113 loss: 4.5113 2022/07/26 18:42:08 - mmengine - INFO - Epoch(train) [4][400/3757] lr: 9.9931e-03 eta: 3 days, 1:30:52 time: 0.3913 data_time: 0.0150 memory: 17007 grad_norm: 3.4907 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6956 loss: 4.6956 2022/07/26 18:42:16 - mmengine - INFO - Epoch(train) [4][420/3757] lr: 9.9931e-03 eta: 3 days, 1:30:44 time: 0.3986 data_time: 0.0151 memory: 17007 grad_norm: 3.3686 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4896 loss: 4.4896 2022/07/26 18:42:24 - mmengine - INFO - Epoch(train) [4][440/3757] lr: 9.9931e-03 eta: 3 days, 1:30:30 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 3.3839 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6016 loss: 4.6016 2022/07/26 18:42:32 - mmengine - INFO - Epoch(train) [4][460/3757] lr: 9.9931e-03 eta: 3 days, 1:30:16 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 3.3757 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6128 loss: 4.6128 2022/07/26 18:42:39 - mmengine - INFO - Epoch(train) [4][480/3757] lr: 9.9931e-03 eta: 3 days, 1:30:00 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 3.4592 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7731 loss: 4.7731 2022/07/26 18:42:47 - mmengine - INFO - Epoch(train) [4][500/3757] lr: 9.9931e-03 eta: 3 days, 1:29:49 time: 0.3948 data_time: 0.0150 memory: 17007 grad_norm: 3.4917 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8073 loss: 4.8073 2022/07/26 18:42:55 - mmengine - INFO - Epoch(train) [4][520/3757] lr: 9.9931e-03 eta: 3 days, 1:29:38 time: 0.3956 data_time: 0.0167 memory: 17007 grad_norm: 3.2937 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5050 loss: 4.5050 2022/07/26 18:43:03 - mmengine - INFO - Epoch(train) [4][540/3757] lr: 9.9931e-03 eta: 3 days, 1:29:22 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 3.3283 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.6055 loss: 4.6055 2022/07/26 18:43:11 - mmengine - INFO - Epoch(train) [4][560/3757] lr: 9.9931e-03 eta: 3 days, 1:29:06 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 3.4597 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7678 loss: 4.7678 2022/07/26 18:43:19 - mmengine - INFO - Epoch(train) [4][580/3757] lr: 9.9931e-03 eta: 3 days, 1:29:04 time: 0.4037 data_time: 0.0157 memory: 17007 grad_norm: 3.4570 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5787 loss: 4.5787 2022/07/26 18:43:27 - mmengine - INFO - Epoch(train) [4][600/3757] lr: 9.9931e-03 eta: 3 days, 1:28:49 time: 0.3921 data_time: 0.0150 memory: 17007 grad_norm: 3.5931 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6383 loss: 4.6383 2022/07/26 18:43:35 - mmengine - INFO - Epoch(train) [4][620/3757] lr: 9.9931e-03 eta: 3 days, 1:28:34 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 3.5269 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7753 loss: 4.7753 2022/07/26 18:43:42 - mmengine - INFO - Epoch(train) [4][640/3757] lr: 9.9931e-03 eta: 3 days, 1:28:18 time: 0.3913 data_time: 0.0154 memory: 17007 grad_norm: 3.4602 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6497 loss: 4.6497 2022/07/26 18:43:50 - mmengine - INFO - Epoch(train) [4][660/3757] lr: 9.9931e-03 eta: 3 days, 1:27:59 time: 0.3886 data_time: 0.0141 memory: 17007 grad_norm: 3.4240 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6712 loss: 4.6712 2022/07/26 18:43:58 - mmengine - INFO - Epoch(train) [4][680/3757] lr: 9.9931e-03 eta: 3 days, 1:27:49 time: 0.3956 data_time: 0.0161 memory: 17007 grad_norm: 3.3606 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5293 loss: 4.5293 2022/07/26 18:44:06 - mmengine - INFO - Epoch(train) [4][700/3757] lr: 9.9931e-03 eta: 3 days, 1:27:32 time: 0.3907 data_time: 0.0143 memory: 17007 grad_norm: 3.5121 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.8501 loss: 4.8501 2022/07/26 18:44:14 - mmengine - INFO - Epoch(train) [4][720/3757] lr: 9.9931e-03 eta: 3 days, 1:27:32 time: 0.4049 data_time: 0.0166 memory: 17007 grad_norm: 3.3917 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.4861 loss: 4.4861 2022/07/26 18:44:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:44:22 - mmengine - INFO - Epoch(train) [4][740/3757] lr: 9.9931e-03 eta: 3 days, 1:27:16 time: 0.3912 data_time: 0.0149 memory: 17007 grad_norm: 3.4520 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5522 loss: 4.5522 2022/07/26 18:44:30 - mmengine - INFO - Epoch(train) [4][760/3757] lr: 9.9931e-03 eta: 3 days, 1:27:00 time: 0.3904 data_time: 0.0157 memory: 17007 grad_norm: 3.3808 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4097 loss: 4.4097 2022/07/26 18:44:38 - mmengine - INFO - Epoch(train) [4][780/3757] lr: 9.9931e-03 eta: 3 days, 1:26:47 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 3.4551 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6904 loss: 4.6904 2022/07/26 18:44:45 - mmengine - INFO - Epoch(train) [4][800/3757] lr: 9.9931e-03 eta: 3 days, 1:26:31 time: 0.3901 data_time: 0.0149 memory: 17007 grad_norm: 3.4533 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.5407 loss: 4.5407 2022/07/26 18:44:53 - mmengine - INFO - Epoch(train) [4][820/3757] lr: 9.9931e-03 eta: 3 days, 1:26:31 time: 0.4056 data_time: 0.0157 memory: 17007 grad_norm: 3.3271 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6575 loss: 4.6575 2022/07/26 18:45:01 - mmengine - INFO - Epoch(train) [4][840/3757] lr: 9.9931e-03 eta: 3 days, 1:26:15 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 3.5269 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7270 loss: 4.7270 2022/07/26 18:45:09 - mmengine - INFO - Epoch(train) [4][860/3757] lr: 9.9931e-03 eta: 3 days, 1:26:03 time: 0.3938 data_time: 0.0169 memory: 17007 grad_norm: 3.5759 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6869 loss: 4.6869 2022/07/26 18:45:17 - mmengine - INFO - Epoch(train) [4][880/3757] lr: 9.9931e-03 eta: 3 days, 1:25:47 time: 0.3910 data_time: 0.0154 memory: 17007 grad_norm: 3.4773 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6167 loss: 4.6167 2022/07/26 18:45:25 - mmengine - INFO - Epoch(train) [4][900/3757] lr: 9.9931e-03 eta: 3 days, 1:25:35 time: 0.3945 data_time: 0.0165 memory: 17007 grad_norm: 3.4851 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7038 loss: 4.7038 2022/07/26 18:45:33 - mmengine - INFO - Epoch(train) [4][920/3757] lr: 9.9931e-03 eta: 3 days, 1:25:35 time: 0.4054 data_time: 0.0161 memory: 17007 grad_norm: 3.4117 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5406 loss: 4.5406 2022/07/26 18:45:41 - mmengine - INFO - Epoch(train) [4][940/3757] lr: 9.9931e-03 eta: 3 days, 1:25:18 time: 0.3895 data_time: 0.0143 memory: 17007 grad_norm: 3.5155 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5751 loss: 4.5751 2022/07/26 18:45:49 - mmengine - INFO - Epoch(train) [4][960/3757] lr: 9.9931e-03 eta: 3 days, 1:25:04 time: 0.3923 data_time: 0.0169 memory: 17007 grad_norm: 3.4604 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6690 loss: 4.6690 2022/07/26 18:45:57 - mmengine - INFO - Epoch(train) [4][980/3757] lr: 9.9931e-03 eta: 3 days, 1:24:59 time: 0.4007 data_time: 0.0152 memory: 17007 grad_norm: 3.4238 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5218 loss: 4.5218 2022/07/26 18:46:04 - mmengine - INFO - Epoch(train) [4][1000/3757] lr: 9.9931e-03 eta: 3 days, 1:24:45 time: 0.3932 data_time: 0.0142 memory: 17007 grad_norm: 3.4823 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6940 loss: 4.6940 2022/07/26 18:46:12 - mmengine - INFO - Epoch(train) [4][1020/3757] lr: 9.9931e-03 eta: 3 days, 1:24:33 time: 0.3941 data_time: 0.0142 memory: 17007 grad_norm: 3.5745 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.7146 loss: 4.7146 2022/07/26 18:46:20 - mmengine - INFO - Epoch(train) [4][1040/3757] lr: 9.9931e-03 eta: 3 days, 1:24:17 time: 0.3908 data_time: 0.0149 memory: 17007 grad_norm: 3.4174 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4514 loss: 4.4514 2022/07/26 18:46:28 - mmengine - INFO - Epoch(train) [4][1060/3757] lr: 9.9931e-03 eta: 3 days, 1:24:04 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 3.4825 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5792 loss: 4.5792 2022/07/26 18:46:36 - mmengine - INFO - Epoch(train) [4][1080/3757] lr: 9.9931e-03 eta: 3 days, 1:23:55 time: 0.3969 data_time: 0.0160 memory: 17007 grad_norm: 3.4803 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6256 loss: 4.6256 2022/07/26 18:46:44 - mmengine - INFO - Epoch(train) [4][1100/3757] lr: 9.9931e-03 eta: 3 days, 1:23:40 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 3.4619 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.7172 loss: 4.7172 2022/07/26 18:46:52 - mmengine - INFO - Epoch(train) [4][1120/3757] lr: 9.9931e-03 eta: 3 days, 1:23:23 time: 0.3895 data_time: 0.0148 memory: 17007 grad_norm: 3.4373 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6365 loss: 4.6365 2022/07/26 18:47:00 - mmengine - INFO - Epoch(train) [4][1140/3757] lr: 9.9931e-03 eta: 3 days, 1:23:25 time: 0.4070 data_time: 0.0163 memory: 17007 grad_norm: 3.4586 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6579 loss: 4.6579 2022/07/26 18:47:08 - mmengine - INFO - Epoch(train) [4][1160/3757] lr: 9.9931e-03 eta: 3 days, 1:23:19 time: 0.4000 data_time: 0.0174 memory: 17007 grad_norm: 3.3860 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6481 loss: 4.6481 2022/07/26 18:47:16 - mmengine - INFO - Epoch(train) [4][1180/3757] lr: 9.9931e-03 eta: 3 days, 1:23:03 time: 0.3905 data_time: 0.0145 memory: 17007 grad_norm: 3.3954 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3383 loss: 4.3383 2022/07/26 18:47:23 - mmengine - INFO - Epoch(train) [4][1200/3757] lr: 9.9931e-03 eta: 3 days, 1:22:49 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 3.4079 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5361 loss: 4.5361 2022/07/26 18:47:31 - mmengine - INFO - Epoch(train) [4][1220/3757] lr: 9.9931e-03 eta: 3 days, 1:22:32 time: 0.3893 data_time: 0.0147 memory: 17007 grad_norm: 3.4539 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6997 loss: 4.6997 2022/07/26 18:47:39 - mmengine - INFO - Epoch(train) [4][1240/3757] lr: 9.9931e-03 eta: 3 days, 1:22:18 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 3.5021 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.4991 loss: 4.4991 2022/07/26 18:47:47 - mmengine - INFO - Epoch(train) [4][1260/3757] lr: 9.9931e-03 eta: 3 days, 1:22:05 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 3.5231 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5556 loss: 4.5556 2022/07/26 18:47:55 - mmengine - INFO - Epoch(train) [4][1280/3757] lr: 9.9931e-03 eta: 3 days, 1:21:51 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 3.6701 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7862 loss: 4.7862 2022/07/26 18:48:03 - mmengine - INFO - Epoch(train) [4][1300/3757] lr: 9.9931e-03 eta: 3 days, 1:21:36 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 3.4398 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.6596 loss: 4.6596 2022/07/26 18:48:10 - mmengine - INFO - Epoch(train) [4][1320/3757] lr: 9.9931e-03 eta: 3 days, 1:21:21 time: 0.3913 data_time: 0.0161 memory: 17007 grad_norm: 3.5023 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7369 loss: 4.7369 2022/07/26 18:48:18 - mmengine - INFO - Epoch(train) [4][1340/3757] lr: 9.9931e-03 eta: 3 days, 1:21:06 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 3.3276 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.5864 loss: 4.5864 2022/07/26 18:48:26 - mmengine - INFO - Epoch(train) [4][1360/3757] lr: 9.9931e-03 eta: 3 days, 1:20:53 time: 0.3930 data_time: 0.0168 memory: 17007 grad_norm: 3.4119 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4452 loss: 4.4452 2022/07/26 18:48:34 - mmengine - INFO - Epoch(train) [4][1380/3757] lr: 9.9931e-03 eta: 3 days, 1:20:42 time: 0.3951 data_time: 0.0143 memory: 17007 grad_norm: 3.4843 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4844 loss: 4.4844 2022/07/26 18:48:42 - mmengine - INFO - Epoch(train) [4][1400/3757] lr: 9.9931e-03 eta: 3 days, 1:20:25 time: 0.3892 data_time: 0.0152 memory: 17007 grad_norm: 3.5733 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3936 loss: 4.3936 2022/07/26 18:48:50 - mmengine - INFO - Epoch(train) [4][1420/3757] lr: 9.9931e-03 eta: 3 days, 1:20:10 time: 0.3913 data_time: 0.0155 memory: 17007 grad_norm: 3.3954 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6603 loss: 4.6603 2022/07/26 18:48:57 - mmengine - INFO - Epoch(train) [4][1440/3757] lr: 9.9931e-03 eta: 3 days, 1:19:55 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 3.4473 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.5361 loss: 4.5361 2022/07/26 18:49:05 - mmengine - INFO - Epoch(train) [4][1460/3757] lr: 9.9931e-03 eta: 3 days, 1:19:40 time: 0.3907 data_time: 0.0160 memory: 17007 grad_norm: 3.4160 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.5354 loss: 4.5354 2022/07/26 18:49:13 - mmengine - INFO - Epoch(train) [4][1480/3757] lr: 9.9931e-03 eta: 3 days, 1:19:37 time: 0.4023 data_time: 0.0166 memory: 17007 grad_norm: 3.4415 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6156 loss: 4.6156 2022/07/26 18:49:21 - mmengine - INFO - Epoch(train) [4][1500/3757] lr: 9.9931e-03 eta: 3 days, 1:19:24 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 3.4032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 4.5434 loss: 4.5434 2022/07/26 18:49:29 - mmengine - INFO - Epoch(train) [4][1520/3757] lr: 9.9931e-03 eta: 3 days, 1:19:09 time: 0.3909 data_time: 0.0154 memory: 17007 grad_norm: 3.4538 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.7396 loss: 4.7396 2022/07/26 18:49:37 - mmengine - INFO - Epoch(train) [4][1540/3757] lr: 9.9931e-03 eta: 3 days, 1:18:54 time: 0.3916 data_time: 0.0166 memory: 17007 grad_norm: 3.2870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 4.3589 loss: 4.3589 2022/07/26 18:49:45 - mmengine - INFO - Epoch(train) [4][1560/3757] lr: 9.9931e-03 eta: 3 days, 1:18:39 time: 0.3903 data_time: 0.0152 memory: 17007 grad_norm: 3.4303 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5259 loss: 4.5259 2022/07/26 18:49:52 - mmengine - INFO - Epoch(train) [4][1580/3757] lr: 9.9931e-03 eta: 3 days, 1:18:22 time: 0.3897 data_time: 0.0150 memory: 17007 grad_norm: 3.4545 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.5290 loss: 4.5290 2022/07/26 18:50:00 - mmengine - INFO - Epoch(train) [4][1600/3757] lr: 9.9931e-03 eta: 3 days, 1:18:11 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 3.3950 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.5970 loss: 4.5970 2022/07/26 18:50:08 - mmengine - INFO - Epoch(train) [4][1620/3757] lr: 9.9931e-03 eta: 3 days, 1:17:54 time: 0.3889 data_time: 0.0140 memory: 17007 grad_norm: 3.4692 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5384 loss: 4.5384 2022/07/26 18:50:16 - mmengine - INFO - Epoch(train) [4][1640/3757] lr: 9.9931e-03 eta: 3 days, 1:17:42 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 3.4598 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7537 loss: 4.7537 2022/07/26 18:50:24 - mmengine - INFO - Epoch(train) [4][1660/3757] lr: 9.9931e-03 eta: 3 days, 1:17:27 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 3.4416 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.4399 loss: 4.4399 2022/07/26 18:50:32 - mmengine - INFO - Epoch(train) [4][1680/3757] lr: 9.9931e-03 eta: 3 days, 1:17:13 time: 0.3919 data_time: 0.0167 memory: 17007 grad_norm: 3.5806 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5856 loss: 4.5856 2022/07/26 18:50:40 - mmengine - INFO - Epoch(train) [4][1700/3757] lr: 9.9931e-03 eta: 3 days, 1:17:04 time: 0.3963 data_time: 0.0164 memory: 17007 grad_norm: 3.4912 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.7944 loss: 4.7944 2022/07/26 18:50:47 - mmengine - INFO - Epoch(train) [4][1720/3757] lr: 9.9931e-03 eta: 3 days, 1:16:53 time: 0.3950 data_time: 0.0159 memory: 17007 grad_norm: 3.5217 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2796 loss: 4.2796 2022/07/26 18:50:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:50:55 - mmengine - INFO - Epoch(train) [4][1740/3757] lr: 9.9931e-03 eta: 3 days, 1:16:42 time: 0.3951 data_time: 0.0161 memory: 17007 grad_norm: 3.5259 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4913 loss: 4.4913 2022/07/26 18:51:03 - mmengine - INFO - Epoch(train) [4][1760/3757] lr: 9.9931e-03 eta: 3 days, 1:16:28 time: 0.3911 data_time: 0.0152 memory: 17007 grad_norm: 3.6657 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6158 loss: 4.6158 2022/07/26 18:51:11 - mmengine - INFO - Epoch(train) [4][1780/3757] lr: 9.9931e-03 eta: 3 days, 1:16:12 time: 0.3903 data_time: 0.0152 memory: 17007 grad_norm: 3.4801 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4238 loss: 4.4238 2022/07/26 18:51:19 - mmengine - INFO - Epoch(train) [4][1800/3757] lr: 9.9931e-03 eta: 3 days, 1:16:05 time: 0.3984 data_time: 0.0179 memory: 17007 grad_norm: 3.5450 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5562 loss: 4.5562 2022/07/26 18:51:27 - mmengine - INFO - Epoch(train) [4][1820/3757] lr: 9.9931e-03 eta: 3 days, 1:15:50 time: 0.3908 data_time: 0.0144 memory: 17007 grad_norm: 3.5652 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7724 loss: 4.7724 2022/07/26 18:51:35 - mmengine - INFO - Epoch(train) [4][1840/3757] lr: 9.9931e-03 eta: 3 days, 1:15:41 time: 0.3971 data_time: 0.0164 memory: 17007 grad_norm: 3.4277 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.6026 loss: 4.6026 2022/07/26 18:51:42 - mmengine - INFO - Epoch(train) [4][1860/3757] lr: 9.9931e-03 eta: 3 days, 1:15:26 time: 0.3900 data_time: 0.0149 memory: 17007 grad_norm: 3.4757 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6637 loss: 4.6637 2022/07/26 18:51:50 - mmengine - INFO - Epoch(train) [4][1880/3757] lr: 9.9931e-03 eta: 3 days, 1:15:13 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 3.6374 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8166 loss: 4.8166 2022/07/26 18:51:58 - mmengine - INFO - Epoch(train) [4][1900/3757] lr: 9.9931e-03 eta: 3 days, 1:15:00 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 3.4444 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4106 loss: 4.4106 2022/07/26 18:52:06 - mmengine - INFO - Epoch(train) [4][1920/3757] lr: 9.9931e-03 eta: 3 days, 1:14:45 time: 0.3904 data_time: 0.0159 memory: 17007 grad_norm: 3.5014 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7125 loss: 4.7125 2022/07/26 18:52:14 - mmengine - INFO - Epoch(train) [4][1940/3757] lr: 9.9931e-03 eta: 3 days, 1:14:32 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 3.5616 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5438 loss: 4.5438 2022/07/26 18:52:22 - mmengine - INFO - Epoch(train) [4][1960/3757] lr: 9.9931e-03 eta: 3 days, 1:14:16 time: 0.3898 data_time: 0.0153 memory: 17007 grad_norm: 3.3718 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5945 loss: 4.5945 2022/07/26 18:52:30 - mmengine - INFO - Epoch(train) [4][1980/3757] lr: 9.9931e-03 eta: 3 days, 1:14:05 time: 0.3945 data_time: 0.0168 memory: 17007 grad_norm: 3.5303 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5058 loss: 4.5058 2022/07/26 18:52:37 - mmengine - INFO - Epoch(train) [4][2000/3757] lr: 9.9931e-03 eta: 3 days, 1:13:53 time: 0.3939 data_time: 0.0168 memory: 17007 grad_norm: 3.5944 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6057 loss: 4.6057 2022/07/26 18:52:45 - mmengine - INFO - Epoch(train) [4][2020/3757] lr: 9.9931e-03 eta: 3 days, 1:13:40 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 3.4803 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6038 loss: 4.6038 2022/07/26 18:52:53 - mmengine - INFO - Epoch(train) [4][2040/3757] lr: 9.9931e-03 eta: 3 days, 1:13:31 time: 0.3965 data_time: 0.0177 memory: 17007 grad_norm: 3.4894 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5167 loss: 4.5167 2022/07/26 18:53:01 - mmengine - INFO - Epoch(train) [4][2060/3757] lr: 9.9931e-03 eta: 3 days, 1:13:16 time: 0.3907 data_time: 0.0153 memory: 17007 grad_norm: 3.6546 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6045 loss: 4.6045 2022/07/26 18:53:09 - mmengine - INFO - Epoch(train) [4][2080/3757] lr: 9.9931e-03 eta: 3 days, 1:13:01 time: 0.3909 data_time: 0.0160 memory: 17007 grad_norm: 3.8616 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 4.6965 loss: 4.6965 2022/07/26 18:53:17 - mmengine - INFO - Epoch(train) [4][2100/3757] lr: 9.9931e-03 eta: 3 days, 1:12:52 time: 0.3966 data_time: 0.0166 memory: 17007 grad_norm: 3.5523 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4802 loss: 4.4802 2022/07/26 18:53:25 - mmengine - INFO - Epoch(train) [4][2120/3757] lr: 9.9931e-03 eta: 3 days, 1:12:38 time: 0.3911 data_time: 0.0163 memory: 17007 grad_norm: 3.4370 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7042 loss: 4.7042 2022/07/26 18:53:32 - mmengine - INFO - Epoch(train) [4][2140/3757] lr: 9.9931e-03 eta: 3 days, 1:12:23 time: 0.3906 data_time: 0.0151 memory: 17007 grad_norm: 3.4496 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.5024 loss: 4.5024 2022/07/26 18:53:40 - mmengine - INFO - Epoch(train) [4][2160/3757] lr: 9.9931e-03 eta: 3 days, 1:12:14 time: 0.3966 data_time: 0.0162 memory: 17007 grad_norm: 3.4362 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5483 loss: 4.5483 2022/07/26 18:53:48 - mmengine - INFO - Epoch(train) [4][2180/3757] lr: 9.9931e-03 eta: 3 days, 1:11:59 time: 0.3906 data_time: 0.0150 memory: 17007 grad_norm: 3.5664 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4919 loss: 4.4919 2022/07/26 18:53:56 - mmengine - INFO - Epoch(train) [4][2200/3757] lr: 9.9931e-03 eta: 3 days, 1:12:02 time: 0.4082 data_time: 0.0165 memory: 17007 grad_norm: 3.4056 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5753 loss: 4.5753 2022/07/26 18:54:04 - mmengine - INFO - Epoch(train) [4][2220/3757] lr: 9.9931e-03 eta: 3 days, 1:11:47 time: 0.3908 data_time: 0.0150 memory: 17007 grad_norm: 3.4127 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8602 loss: 4.8602 2022/07/26 18:54:12 - mmengine - INFO - Epoch(train) [4][2240/3757] lr: 9.9931e-03 eta: 3 days, 1:11:35 time: 0.3936 data_time: 0.0165 memory: 17007 grad_norm: 3.4376 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.4023 loss: 4.4023 2022/07/26 18:54:20 - mmengine - INFO - Epoch(train) [4][2260/3757] lr: 9.9931e-03 eta: 3 days, 1:11:20 time: 0.3902 data_time: 0.0148 memory: 17007 grad_norm: 3.4540 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7727 loss: 4.7727 2022/07/26 18:54:28 - mmengine - INFO - Epoch(train) [4][2280/3757] lr: 9.9931e-03 eta: 3 days, 1:11:05 time: 0.3905 data_time: 0.0163 memory: 17007 grad_norm: 3.5270 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6570 loss: 4.6570 2022/07/26 18:54:35 - mmengine - INFO - Epoch(train) [4][2300/3757] lr: 9.9931e-03 eta: 3 days, 1:10:51 time: 0.3909 data_time: 0.0148 memory: 17007 grad_norm: 3.4138 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6633 loss: 4.6633 2022/07/26 18:54:43 - mmengine - INFO - Epoch(train) [4][2320/3757] lr: 9.9931e-03 eta: 3 days, 1:10:37 time: 0.3916 data_time: 0.0164 memory: 17007 grad_norm: 3.4300 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5193 loss: 4.5193 2022/07/26 18:54:51 - mmengine - INFO - Epoch(train) [4][2340/3757] lr: 9.9931e-03 eta: 3 days, 1:10:21 time: 0.3893 data_time: 0.0151 memory: 17007 grad_norm: 3.6244 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3117 loss: 4.3117 2022/07/26 18:54:59 - mmengine - INFO - Epoch(train) [4][2360/3757] lr: 9.9931e-03 eta: 3 days, 1:10:07 time: 0.3917 data_time: 0.0155 memory: 17007 grad_norm: 3.3926 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4597 loss: 4.4597 2022/07/26 18:55:07 - mmengine - INFO - Epoch(train) [4][2380/3757] lr: 9.9931e-03 eta: 3 days, 1:09:56 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 3.4339 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4304 loss: 4.4304 2022/07/26 18:55:15 - mmengine - INFO - Epoch(train) [4][2400/3757] lr: 9.9931e-03 eta: 3 days, 1:09:41 time: 0.3910 data_time: 0.0153 memory: 17007 grad_norm: 3.5616 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.8135 loss: 4.8135 2022/07/26 18:55:22 - mmengine - INFO - Epoch(train) [4][2420/3757] lr: 9.9931e-03 eta: 3 days, 1:09:27 time: 0.3904 data_time: 0.0154 memory: 17007 grad_norm: 3.4514 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6331 loss: 4.6331 2022/07/26 18:55:30 - mmengine - INFO - Epoch(train) [4][2440/3757] lr: 9.9931e-03 eta: 3 days, 1:09:23 time: 0.4018 data_time: 0.0168 memory: 17007 grad_norm: 3.4968 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5683 loss: 4.5683 2022/07/26 18:55:38 - mmengine - INFO - Epoch(train) [4][2460/3757] lr: 9.9931e-03 eta: 3 days, 1:09:08 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 3.5113 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2834 loss: 4.2834 2022/07/26 18:55:46 - mmengine - INFO - Epoch(train) [4][2480/3757] lr: 9.9931e-03 eta: 3 days, 1:08:57 time: 0.3940 data_time: 0.0170 memory: 17007 grad_norm: 3.8266 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5630 loss: 4.5630 2022/07/26 18:55:54 - mmengine - INFO - Epoch(train) [4][2500/3757] lr: 9.9931e-03 eta: 3 days, 1:08:43 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 3.5585 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4639 loss: 4.4639 2022/07/26 18:56:02 - mmengine - INFO - Epoch(train) [4][2520/3757] lr: 9.9931e-03 eta: 3 days, 1:08:28 time: 0.3898 data_time: 0.0146 memory: 17007 grad_norm: 3.5112 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4236 loss: 4.4236 2022/07/26 18:56:10 - mmengine - INFO - Epoch(train) [4][2540/3757] lr: 9.9931e-03 eta: 3 days, 1:08:14 time: 0.3911 data_time: 0.0152 memory: 17007 grad_norm: 3.6749 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4713 loss: 4.4713 2022/07/26 18:56:17 - mmengine - INFO - Epoch(train) [4][2560/3757] lr: 9.9931e-03 eta: 3 days, 1:08:00 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 3.4332 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5937 loss: 4.5937 2022/07/26 18:56:25 - mmengine - INFO - Epoch(train) [4][2580/3757] lr: 9.9931e-03 eta: 3 days, 1:07:51 time: 0.3955 data_time: 0.0155 memory: 17007 grad_norm: 3.4532 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.4552 loss: 4.4552 2022/07/26 18:56:33 - mmengine - INFO - Epoch(train) [4][2600/3757] lr: 9.9931e-03 eta: 3 days, 1:07:39 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 3.4229 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.7664 loss: 4.7664 2022/07/26 18:56:41 - mmengine - INFO - Epoch(train) [4][2620/3757] lr: 9.9931e-03 eta: 3 days, 1:07:22 time: 0.3885 data_time: 0.0138 memory: 17007 grad_norm: 3.4263 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4733 loss: 4.4733 2022/07/26 18:56:49 - mmengine - INFO - Epoch(train) [4][2640/3757] lr: 9.9931e-03 eta: 3 days, 1:07:14 time: 0.3974 data_time: 0.0168 memory: 17007 grad_norm: 3.4292 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.4569 loss: 4.4569 2022/07/26 18:56:57 - mmengine - INFO - Epoch(train) [4][2660/3757] lr: 9.9931e-03 eta: 3 days, 1:07:00 time: 0.3907 data_time: 0.0153 memory: 17007 grad_norm: 3.4854 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5345 loss: 4.5345 2022/07/26 18:57:05 - mmengine - INFO - Epoch(train) [4][2680/3757] lr: 9.9931e-03 eta: 3 days, 1:06:50 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 3.5891 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6539 loss: 4.6539 2022/07/26 18:57:12 - mmengine - INFO - Epoch(train) [4][2700/3757] lr: 9.9931e-03 eta: 3 days, 1:06:34 time: 0.3894 data_time: 0.0149 memory: 17007 grad_norm: 3.4469 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.4538 loss: 4.4538 2022/07/26 18:57:20 - mmengine - INFO - Epoch(train) [4][2720/3757] lr: 9.9931e-03 eta: 3 days, 1:06:20 time: 0.3904 data_time: 0.0153 memory: 17007 grad_norm: 3.4658 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5572 loss: 4.5572 2022/07/26 18:57:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 18:57:28 - mmengine - INFO - Epoch(train) [4][2740/3757] lr: 9.9931e-03 eta: 3 days, 1:06:13 time: 0.3985 data_time: 0.0154 memory: 17007 grad_norm: 3.3828 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4982 loss: 4.4982 2022/07/26 18:57:36 - mmengine - INFO - Epoch(train) [4][2760/3757] lr: 9.9931e-03 eta: 3 days, 1:05:59 time: 0.3915 data_time: 0.0164 memory: 17007 grad_norm: 3.5073 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.7113 loss: 4.7113 2022/07/26 18:57:44 - mmengine - INFO - Epoch(train) [4][2780/3757] lr: 9.9931e-03 eta: 3 days, 1:05:59 time: 0.4052 data_time: 0.0160 memory: 17007 grad_norm: 3.5551 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6098 loss: 4.6098 2022/07/26 18:57:52 - mmengine - INFO - Epoch(train) [4][2800/3757] lr: 9.9931e-03 eta: 3 days, 1:05:45 time: 0.3912 data_time: 0.0155 memory: 17007 grad_norm: 3.4469 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5183 loss: 4.5183 2022/07/26 18:58:00 - mmengine - INFO - Epoch(train) [4][2820/3757] lr: 9.9931e-03 eta: 3 days, 1:05:30 time: 0.3904 data_time: 0.0150 memory: 17007 grad_norm: 3.4198 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6177 loss: 4.6177 2022/07/26 18:58:08 - mmengine - INFO - Epoch(train) [4][2840/3757] lr: 9.9931e-03 eta: 3 days, 1:05:18 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 3.5192 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6102 loss: 4.6102 2022/07/26 18:58:15 - mmengine - INFO - Epoch(train) [4][2860/3757] lr: 9.9931e-03 eta: 3 days, 1:05:05 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 3.6103 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4771 loss: 4.4771 2022/07/26 18:58:23 - mmengine - INFO - Epoch(train) [4][2880/3757] lr: 9.9931e-03 eta: 3 days, 1:04:57 time: 0.3978 data_time: 0.0147 memory: 17007 grad_norm: 3.5829 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3787 loss: 4.3787 2022/07/26 18:58:31 - mmengine - INFO - Epoch(train) [4][2900/3757] lr: 9.9931e-03 eta: 3 days, 1:04:43 time: 0.3912 data_time: 0.0132 memory: 17007 grad_norm: 3.4937 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.5792 loss: 4.5792 2022/07/26 18:58:39 - mmengine - INFO - Epoch(train) [4][2920/3757] lr: 9.9931e-03 eta: 3 days, 1:04:29 time: 0.3904 data_time: 0.0148 memory: 17007 grad_norm: 3.4680 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6350 loss: 4.6350 2022/07/26 18:58:47 - mmengine - INFO - Epoch(train) [4][2940/3757] lr: 9.9931e-03 eta: 3 days, 1:04:15 time: 0.3905 data_time: 0.0152 memory: 17007 grad_norm: 3.5646 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6264 loss: 4.6264 2022/07/26 18:58:55 - mmengine - INFO - Epoch(train) [4][2960/3757] lr: 9.9931e-03 eta: 3 days, 1:04:01 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 3.4595 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4133 loss: 4.4133 2022/07/26 18:59:03 - mmengine - INFO - Epoch(train) [4][2980/3757] lr: 9.9931e-03 eta: 3 days, 1:03:48 time: 0.3918 data_time: 0.0159 memory: 17007 grad_norm: 3.5192 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5753 loss: 4.5753 2022/07/26 18:59:10 - mmengine - INFO - Epoch(train) [4][3000/3757] lr: 9.9931e-03 eta: 3 days, 1:03:35 time: 0.3919 data_time: 0.0156 memory: 17007 grad_norm: 3.6588 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.5104 loss: 4.5104 2022/07/26 18:59:18 - mmengine - INFO - Epoch(train) [4][3020/3757] lr: 9.9931e-03 eta: 3 days, 1:03:22 time: 0.3916 data_time: 0.0154 memory: 17007 grad_norm: 3.6196 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3847 loss: 4.3847 2022/07/26 18:59:26 - mmengine - INFO - Epoch(train) [4][3040/3757] lr: 9.9931e-03 eta: 3 days, 1:03:08 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 3.4979 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.7232 loss: 4.7232 2022/07/26 18:59:34 - mmengine - INFO - Epoch(train) [4][3060/3757] lr: 9.9931e-03 eta: 3 days, 1:02:56 time: 0.3936 data_time: 0.0137 memory: 17007 grad_norm: 3.4297 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.4814 loss: 4.4814 2022/07/26 18:59:42 - mmengine - INFO - Epoch(train) [4][3080/3757] lr: 9.9931e-03 eta: 3 days, 1:02:43 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 3.5433 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5688 loss: 4.5688 2022/07/26 18:59:50 - mmengine - INFO - Epoch(train) [4][3100/3757] lr: 9.9931e-03 eta: 3 days, 1:02:31 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 3.5684 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.6965 loss: 4.6965 2022/07/26 18:59:57 - mmengine - INFO - Epoch(train) [4][3120/3757] lr: 9.9931e-03 eta: 3 days, 1:02:18 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 3.7189 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5616 loss: 4.5616 2022/07/26 19:00:05 - mmengine - INFO - Epoch(train) [4][3140/3757] lr: 9.9931e-03 eta: 3 days, 1:02:05 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 3.6398 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4662 loss: 4.4662 2022/07/26 19:00:13 - mmengine - INFO - Epoch(train) [4][3160/3757] lr: 9.9931e-03 eta: 3 days, 1:01:51 time: 0.3905 data_time: 0.0159 memory: 17007 grad_norm: 3.5210 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5636 loss: 4.5636 2022/07/26 19:00:21 - mmengine - INFO - Epoch(train) [4][3180/3757] lr: 9.9931e-03 eta: 3 days, 1:01:43 time: 0.3979 data_time: 0.0162 memory: 17007 grad_norm: 3.4956 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3671 loss: 4.3671 2022/07/26 19:00:29 - mmengine - INFO - Epoch(train) [4][3200/3757] lr: 9.9931e-03 eta: 3 days, 1:01:29 time: 0.3906 data_time: 0.0151 memory: 17007 grad_norm: 3.5965 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2680 loss: 4.2680 2022/07/26 19:00:37 - mmengine - INFO - Epoch(train) [4][3220/3757] lr: 9.9931e-03 eta: 3 days, 1:01:25 time: 0.4018 data_time: 0.0154 memory: 17007 grad_norm: 3.4826 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4662 loss: 4.4662 2022/07/26 19:00:45 - mmengine - INFO - Epoch(train) [4][3240/3757] lr: 9.9931e-03 eta: 3 days, 1:01:12 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 3.5270 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4535 loss: 4.4535 2022/07/26 19:00:53 - mmengine - INFO - Epoch(train) [4][3260/3757] lr: 9.9931e-03 eta: 3 days, 1:01:01 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 3.6306 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.3778 loss: 4.3778 2022/07/26 19:01:00 - mmengine - INFO - Epoch(train) [4][3280/3757] lr: 9.9931e-03 eta: 3 days, 1:00:49 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 3.4560 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3121 loss: 4.3121 2022/07/26 19:01:08 - mmengine - INFO - Epoch(train) [4][3300/3757] lr: 9.9931e-03 eta: 3 days, 1:00:42 time: 0.3982 data_time: 0.0161 memory: 17007 grad_norm: 3.5797 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.4652 loss: 4.4652 2022/07/26 19:01:16 - mmengine - INFO - Epoch(train) [4][3320/3757] lr: 9.9931e-03 eta: 3 days, 1:00:28 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 3.3971 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4340 loss: 4.4340 2022/07/26 19:01:24 - mmengine - INFO - Epoch(train) [4][3340/3757] lr: 9.9931e-03 eta: 3 days, 1:00:16 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 3.5177 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.6548 loss: 4.6548 2022/07/26 19:01:32 - mmengine - INFO - Epoch(train) [4][3360/3757] lr: 9.9931e-03 eta: 3 days, 1:00:03 time: 0.3914 data_time: 0.0166 memory: 17007 grad_norm: 3.6750 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6650 loss: 4.6650 2022/07/26 19:01:40 - mmengine - INFO - Epoch(train) [4][3380/3757] lr: 9.9931e-03 eta: 3 days, 0:59:57 time: 0.3992 data_time: 0.0153 memory: 17007 grad_norm: 3.5546 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2151 loss: 4.2151 2022/07/26 19:01:48 - mmengine - INFO - Epoch(train) [4][3400/3757] lr: 9.9931e-03 eta: 3 days, 0:59:46 time: 0.3939 data_time: 0.0165 memory: 17007 grad_norm: 3.6066 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.5660 loss: 4.5660 2022/07/26 19:01:56 - mmengine - INFO - Epoch(train) [4][3420/3757] lr: 9.9931e-03 eta: 3 days, 0:59:32 time: 0.3913 data_time: 0.0145 memory: 17007 grad_norm: 3.7421 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4917 loss: 4.4917 2022/07/26 19:02:03 - mmengine - INFO - Epoch(train) [4][3440/3757] lr: 9.9931e-03 eta: 3 days, 0:59:21 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 3.6098 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2744 loss: 4.2744 2022/07/26 19:02:11 - mmengine - INFO - Epoch(train) [4][3460/3757] lr: 9.9931e-03 eta: 3 days, 0:59:06 time: 0.3899 data_time: 0.0132 memory: 17007 grad_norm: 3.6584 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5929 loss: 4.5929 2022/07/26 19:02:19 - mmengine - INFO - Epoch(train) [4][3480/3757] lr: 9.9931e-03 eta: 3 days, 0:58:51 time: 0.3894 data_time: 0.0147 memory: 17007 grad_norm: 3.4618 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.7258 loss: 4.7258 2022/07/26 19:02:27 - mmengine - INFO - Epoch(train) [4][3500/3757] lr: 9.9931e-03 eta: 3 days, 0:58:41 time: 0.3948 data_time: 0.0150 memory: 17007 grad_norm: 3.3894 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5976 loss: 4.5976 2022/07/26 19:02:35 - mmengine - INFO - Epoch(train) [4][3520/3757] lr: 9.9931e-03 eta: 3 days, 0:58:31 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 3.6199 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5452 loss: 4.5452 2022/07/26 19:02:43 - mmengine - INFO - Epoch(train) [4][3540/3757] lr: 9.9931e-03 eta: 3 days, 0:58:18 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 3.6042 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.4371 loss: 4.4371 2022/07/26 19:02:50 - mmengine - INFO - Epoch(train) [4][3560/3757] lr: 9.9931e-03 eta: 3 days, 0:58:04 time: 0.3902 data_time: 0.0156 memory: 17007 grad_norm: 3.5972 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4529 loss: 4.4529 2022/07/26 19:02:58 - mmengine - INFO - Epoch(train) [4][3580/3757] lr: 9.9931e-03 eta: 3 days, 0:57:57 time: 0.3985 data_time: 0.0176 memory: 17007 grad_norm: 3.4255 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6137 loss: 4.6137 2022/07/26 19:03:06 - mmengine - INFO - Epoch(train) [4][3600/3757] lr: 9.9931e-03 eta: 3 days, 0:57:44 time: 0.3905 data_time: 0.0155 memory: 17007 grad_norm: 3.4620 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5796 loss: 4.5796 2022/07/26 19:03:14 - mmengine - INFO - Epoch(train) [4][3620/3757] lr: 9.9931e-03 eta: 3 days, 0:57:41 time: 0.4029 data_time: 0.0152 memory: 17007 grad_norm: 3.5653 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.5027 loss: 4.5027 2022/07/26 19:03:22 - mmengine - INFO - Epoch(train) [4][3640/3757] lr: 9.9931e-03 eta: 3 days, 0:57:27 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 3.5764 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.3946 loss: 4.3946 2022/07/26 19:03:30 - mmengine - INFO - Epoch(train) [4][3660/3757] lr: 9.9931e-03 eta: 3 days, 0:57:14 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 3.4486 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4656 loss: 4.4656 2022/07/26 19:03:38 - mmengine - INFO - Epoch(train) [4][3680/3757] lr: 9.9931e-03 eta: 3 days, 0:57:02 time: 0.3925 data_time: 0.0166 memory: 17007 grad_norm: 3.4103 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5145 loss: 4.5145 2022/07/26 19:03:46 - mmengine - INFO - Epoch(train) [4][3700/3757] lr: 9.9931e-03 eta: 3 days, 0:56:49 time: 0.3910 data_time: 0.0144 memory: 17007 grad_norm: 3.5007 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5552 loss: 4.5552 2022/07/26 19:03:53 - mmengine - INFO - Epoch(train) [4][3720/3757] lr: 9.9931e-03 eta: 3 days, 0:56:36 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 3.5080 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5062 loss: 4.5062 2022/07/26 19:03:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:04:01 - mmengine - INFO - Epoch(train) [4][3740/3757] lr: 9.9931e-03 eta: 3 days, 0:56:32 time: 0.4017 data_time: 0.0153 memory: 17007 grad_norm: 3.5536 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3528 loss: 4.3528 2022/07/26 19:04:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:04:08 - mmengine - INFO - Epoch(train) [4][3757/3757] lr: 9.9931e-03 eta: 3 days, 0:56:32 time: 0.3874 data_time: 0.0172 memory: 17007 grad_norm: 3.5414 top1_acc: 0.1429 top5_acc: 0.1429 loss_cls: 4.4245 loss: 4.4245 2022/07/26 19:04:08 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/07/26 19:04:19 - mmengine - INFO - Epoch(train) [5][20/3757] lr: 9.9878e-03 eta: 3 days, 0:51:53 time: 0.4346 data_time: 0.0587 memory: 17007 grad_norm: 3.6029 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5816 loss: 4.5816 2022/07/26 19:04:27 - mmengine - INFO - Epoch(train) [5][40/3757] lr: 9.9878e-03 eta: 3 days, 0:51:44 time: 0.3956 data_time: 0.0153 memory: 17007 grad_norm: 3.4750 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3178 loss: 4.3178 2022/07/26 19:04:34 - mmengine - INFO - Epoch(train) [5][60/3757] lr: 9.9878e-03 eta: 3 days, 0:51:32 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 3.5935 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4827 loss: 4.4827 2022/07/26 19:04:42 - mmengine - INFO - Epoch(train) [5][80/3757] lr: 9.9878e-03 eta: 3 days, 0:51:19 time: 0.3906 data_time: 0.0152 memory: 17007 grad_norm: 3.5104 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.4933 loss: 4.4933 2022/07/26 19:04:50 - mmengine - INFO - Epoch(train) [5][100/3757] lr: 9.9878e-03 eta: 3 days, 0:51:11 time: 0.3960 data_time: 0.0143 memory: 17007 grad_norm: 3.5741 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.4208 loss: 4.4208 2022/07/26 19:04:58 - mmengine - INFO - Epoch(train) [5][120/3757] lr: 9.9878e-03 eta: 3 days, 0:51:00 time: 0.3937 data_time: 0.0165 memory: 17007 grad_norm: 3.5301 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5746 loss: 4.5746 2022/07/26 19:05:06 - mmengine - INFO - Epoch(train) [5][140/3757] lr: 9.9878e-03 eta: 3 days, 0:50:50 time: 0.3939 data_time: 0.0142 memory: 17007 grad_norm: 3.4745 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5465 loss: 4.5465 2022/07/26 19:05:14 - mmengine - INFO - Epoch(train) [5][160/3757] lr: 9.9878e-03 eta: 3 days, 0:50:36 time: 0.3904 data_time: 0.0152 memory: 17007 grad_norm: 3.6536 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4187 loss: 4.4187 2022/07/26 19:05:22 - mmengine - INFO - Epoch(train) [5][180/3757] lr: 9.9878e-03 eta: 3 days, 0:50:24 time: 0.3913 data_time: 0.0133 memory: 17007 grad_norm: 3.7288 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6353 loss: 4.6353 2022/07/26 19:05:29 - mmengine - INFO - Epoch(train) [5][200/3757] lr: 9.9878e-03 eta: 3 days, 0:50:11 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 3.5443 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5082 loss: 4.5082 2022/07/26 19:05:37 - mmengine - INFO - Epoch(train) [5][220/3757] lr: 9.9878e-03 eta: 3 days, 0:49:59 time: 0.3915 data_time: 0.0168 memory: 17007 grad_norm: 3.5062 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2755 loss: 4.2755 2022/07/26 19:05:45 - mmengine - INFO - Epoch(train) [5][240/3757] lr: 9.9878e-03 eta: 3 days, 0:49:47 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 3.4423 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.3947 loss: 4.3947 2022/07/26 19:05:53 - mmengine - INFO - Epoch(train) [5][260/3757] lr: 9.9878e-03 eta: 3 days, 0:49:33 time: 0.3897 data_time: 0.0151 memory: 17007 grad_norm: 3.4748 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3372 loss: 4.3372 2022/07/26 19:06:01 - mmengine - INFO - Epoch(train) [5][280/3757] lr: 9.9878e-03 eta: 3 days, 0:49:21 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 3.5633 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.5160 loss: 4.5160 2022/07/26 19:06:09 - mmengine - INFO - Epoch(train) [5][300/3757] lr: 9.9878e-03 eta: 3 days, 0:49:08 time: 0.3899 data_time: 0.0152 memory: 17007 grad_norm: 3.6974 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.5486 loss: 4.5486 2022/07/26 19:06:16 - mmengine - INFO - Epoch(train) [5][320/3757] lr: 9.9878e-03 eta: 3 days, 0:49:01 time: 0.3979 data_time: 0.0168 memory: 17007 grad_norm: 3.5208 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4095 loss: 4.4095 2022/07/26 19:06:24 - mmengine - INFO - Epoch(train) [5][340/3757] lr: 9.9878e-03 eta: 3 days, 0:48:48 time: 0.3905 data_time: 0.0157 memory: 17007 grad_norm: 3.5482 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3723 loss: 4.3723 2022/07/26 19:06:32 - mmengine - INFO - Epoch(train) [5][360/3757] lr: 9.9878e-03 eta: 3 days, 0:48:33 time: 0.3894 data_time: 0.0148 memory: 17007 grad_norm: 3.6711 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.4152 loss: 4.4152 2022/07/26 19:06:40 - mmengine - INFO - Epoch(train) [5][380/3757] lr: 9.9878e-03 eta: 3 days, 0:48:24 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 3.5237 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3776 loss: 4.3776 2022/07/26 19:06:48 - mmengine - INFO - Epoch(train) [5][400/3757] lr: 9.9878e-03 eta: 3 days, 0:48:11 time: 0.3909 data_time: 0.0147 memory: 17007 grad_norm: 3.5861 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3082 loss: 4.3082 2022/07/26 19:06:56 - mmengine - INFO - Epoch(train) [5][420/3757] lr: 9.9878e-03 eta: 3 days, 0:47:58 time: 0.3905 data_time: 0.0152 memory: 17007 grad_norm: 3.6799 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 4.3526 loss: 4.3526 2022/07/26 19:07:03 - mmengine - INFO - Epoch(train) [5][440/3757] lr: 9.9878e-03 eta: 3 days, 0:47:46 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 3.5228 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2157 loss: 4.2157 2022/07/26 19:07:11 - mmengine - INFO - Epoch(train) [5][460/3757] lr: 9.9878e-03 eta: 3 days, 0:47:33 time: 0.3913 data_time: 0.0148 memory: 17007 grad_norm: 3.6325 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3917 loss: 4.3917 2022/07/26 19:07:19 - mmengine - INFO - Epoch(train) [5][480/3757] lr: 9.9878e-03 eta: 3 days, 0:47:22 time: 0.3926 data_time: 0.0165 memory: 17007 grad_norm: 3.6554 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3522 loss: 4.3522 2022/07/26 19:07:27 - mmengine - INFO - Epoch(train) [5][500/3757] lr: 9.9878e-03 eta: 3 days, 0:47:09 time: 0.3905 data_time: 0.0157 memory: 17007 grad_norm: 3.6281 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.6163 loss: 4.6163 2022/07/26 19:07:35 - mmengine - INFO - Epoch(train) [5][520/3757] lr: 9.9878e-03 eta: 3 days, 0:47:07 time: 0.4039 data_time: 0.0158 memory: 17007 grad_norm: 3.5196 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2964 loss: 4.2964 2022/07/26 19:07:43 - mmengine - INFO - Epoch(train) [5][540/3757] lr: 9.9878e-03 eta: 3 days, 0:46:54 time: 0.3908 data_time: 0.0151 memory: 17007 grad_norm: 3.5131 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4835 loss: 4.4835 2022/07/26 19:07:51 - mmengine - INFO - Epoch(train) [5][560/3757] lr: 9.9878e-03 eta: 3 days, 0:46:41 time: 0.3907 data_time: 0.0150 memory: 17007 grad_norm: 3.6063 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3032 loss: 4.3032 2022/07/26 19:07:59 - mmengine - INFO - Epoch(train) [5][580/3757] lr: 9.9878e-03 eta: 3 days, 0:46:48 time: 0.4134 data_time: 0.0165 memory: 17007 grad_norm: 3.5417 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1715 loss: 4.1715 2022/07/26 19:08:07 - mmengine - INFO - Epoch(train) [5][600/3757] lr: 9.9878e-03 eta: 3 days, 0:46:35 time: 0.3914 data_time: 0.0157 memory: 17007 grad_norm: 3.5113 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4621 loss: 4.4621 2022/07/26 19:08:15 - mmengine - INFO - Epoch(train) [5][620/3757] lr: 9.9878e-03 eta: 3 days, 0:46:51 time: 0.4241 data_time: 0.0154 memory: 17007 grad_norm: 3.5532 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 4.3725 loss: 4.3725 2022/07/26 19:08:23 - mmengine - INFO - Epoch(train) [5][640/3757] lr: 9.9878e-03 eta: 3 days, 0:46:38 time: 0.3913 data_time: 0.0166 memory: 17007 grad_norm: 3.5810 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3594 loss: 4.3594 2022/07/26 19:08:31 - mmengine - INFO - Epoch(train) [5][660/3757] lr: 9.9878e-03 eta: 3 days, 0:46:25 time: 0.3904 data_time: 0.0147 memory: 17007 grad_norm: 3.5900 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3724 loss: 4.3724 2022/07/26 19:08:39 - mmengine - INFO - Epoch(train) [5][680/3757] lr: 9.9878e-03 eta: 3 days, 0:46:15 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 3.5458 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6631 loss: 4.6631 2022/07/26 19:08:47 - mmengine - INFO - Epoch(train) [5][700/3757] lr: 9.9878e-03 eta: 3 days, 0:46:02 time: 0.3907 data_time: 0.0151 memory: 17007 grad_norm: 3.5841 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3865 loss: 4.3865 2022/07/26 19:08:54 - mmengine - INFO - Epoch(train) [5][720/3757] lr: 9.9878e-03 eta: 3 days, 0:45:50 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 3.5489 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3102 loss: 4.3102 2022/07/26 19:09:02 - mmengine - INFO - Epoch(train) [5][740/3757] lr: 9.9878e-03 eta: 3 days, 0:45:37 time: 0.3915 data_time: 0.0138 memory: 17007 grad_norm: 3.8289 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2567 loss: 4.2567 2022/07/26 19:09:10 - mmengine - INFO - Epoch(train) [5][760/3757] lr: 9.9878e-03 eta: 3 days, 0:45:25 time: 0.3913 data_time: 0.0143 memory: 17007 grad_norm: 3.6106 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5616 loss: 4.5616 2022/07/26 19:09:18 - mmengine - INFO - Epoch(train) [5][780/3757] lr: 9.9878e-03 eta: 3 days, 0:45:17 time: 0.3968 data_time: 0.0161 memory: 17007 grad_norm: 3.6733 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.3253 loss: 4.3253 2022/07/26 19:09:26 - mmengine - INFO - Epoch(train) [5][800/3757] lr: 9.9878e-03 eta: 3 days, 0:45:05 time: 0.3909 data_time: 0.0159 memory: 17007 grad_norm: 3.6203 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2505 loss: 4.2505 2022/07/26 19:09:34 - mmengine - INFO - Epoch(train) [5][820/3757] lr: 9.9878e-03 eta: 3 days, 0:44:51 time: 0.3902 data_time: 0.0145 memory: 17007 grad_norm: 3.7091 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3651 loss: 4.3651 2022/07/26 19:09:42 - mmengine - INFO - Epoch(train) [5][840/3757] lr: 9.9878e-03 eta: 3 days, 0:44:46 time: 0.3994 data_time: 0.0160 memory: 17007 grad_norm: 3.6060 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.7716 loss: 4.7716 2022/07/26 19:09:49 - mmengine - INFO - Epoch(train) [5][860/3757] lr: 9.9878e-03 eta: 3 days, 0:44:32 time: 0.3899 data_time: 0.0153 memory: 17007 grad_norm: 3.5618 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.4620 loss: 4.4620 2022/07/26 19:09:57 - mmengine - INFO - Epoch(train) [5][880/3757] lr: 9.9878e-03 eta: 3 days, 0:44:22 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 3.5508 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4858 loss: 4.4858 2022/07/26 19:10:05 - mmengine - INFO - Epoch(train) [5][900/3757] lr: 9.9878e-03 eta: 3 days, 0:44:12 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 3.5369 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4921 loss: 4.4921 2022/07/26 19:10:13 - mmengine - INFO - Epoch(train) [5][920/3757] lr: 9.9878e-03 eta: 3 days, 0:43:58 time: 0.3894 data_time: 0.0146 memory: 17007 grad_norm: 3.6081 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1527 loss: 4.1527 2022/07/26 19:10:21 - mmengine - INFO - Epoch(train) [5][940/3757] lr: 9.9878e-03 eta: 3 days, 0:43:46 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 3.6277 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2897 loss: 4.2897 2022/07/26 19:10:29 - mmengine - INFO - Epoch(train) [5][960/3757] lr: 9.9878e-03 eta: 3 days, 0:43:36 time: 0.3937 data_time: 0.0155 memory: 17007 grad_norm: 3.6002 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.2085 loss: 4.2085 2022/07/26 19:10:33 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:10:37 - mmengine - INFO - Epoch(train) [5][980/3757] lr: 9.9878e-03 eta: 3 days, 0:43:26 time: 0.3941 data_time: 0.0164 memory: 17007 grad_norm: 3.6087 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.3225 loss: 4.3225 2022/07/26 19:10:44 - mmengine - INFO - Epoch(train) [5][1000/3757] lr: 9.9878e-03 eta: 3 days, 0:43:14 time: 0.3913 data_time: 0.0164 memory: 17007 grad_norm: 3.5297 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2380 loss: 4.2380 2022/07/26 19:10:52 - mmengine - INFO - Epoch(train) [5][1020/3757] lr: 9.9878e-03 eta: 3 days, 0:43:06 time: 0.3963 data_time: 0.0151 memory: 17007 grad_norm: 3.6952 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4293 loss: 4.4293 2022/07/26 19:11:00 - mmengine - INFO - Epoch(train) [5][1040/3757] lr: 9.9878e-03 eta: 3 days, 0:42:58 time: 0.3962 data_time: 0.0170 memory: 17007 grad_norm: 3.6223 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3582 loss: 4.3582 2022/07/26 19:11:08 - mmengine - INFO - Epoch(train) [5][1060/3757] lr: 9.9878e-03 eta: 3 days, 0:42:55 time: 0.4036 data_time: 0.0147 memory: 17007 grad_norm: 3.5465 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5017 loss: 4.5017 2022/07/26 19:11:16 - mmengine - INFO - Epoch(train) [5][1080/3757] lr: 9.9878e-03 eta: 3 days, 0:42:46 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 3.6180 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.5377 loss: 4.5377 2022/07/26 19:11:24 - mmengine - INFO - Epoch(train) [5][1100/3757] lr: 9.9878e-03 eta: 3 days, 0:42:33 time: 0.3898 data_time: 0.0144 memory: 17007 grad_norm: 3.4720 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.2604 loss: 4.2604 2022/07/26 19:11:32 - mmengine - INFO - Epoch(train) [5][1120/3757] lr: 9.9878e-03 eta: 3 days, 0:42:35 time: 0.4094 data_time: 0.0152 memory: 17007 grad_norm: 3.6593 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.4864 loss: 4.4864 2022/07/26 19:11:40 - mmengine - INFO - Epoch(train) [5][1140/3757] lr: 9.9878e-03 eta: 3 days, 0:42:25 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 3.5480 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2582 loss: 4.2582 2022/07/26 19:11:48 - mmengine - INFO - Epoch(train) [5][1160/3757] lr: 9.9878e-03 eta: 3 days, 0:42:13 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 3.5980 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.6338 loss: 4.6338 2022/07/26 19:11:56 - mmengine - INFO - Epoch(train) [5][1180/3757] lr: 9.9878e-03 eta: 3 days, 0:42:02 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 3.6831 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.3098 loss: 4.3098 2022/07/26 19:12:04 - mmengine - INFO - Epoch(train) [5][1200/3757] lr: 9.9878e-03 eta: 3 days, 0:41:50 time: 0.3909 data_time: 0.0154 memory: 17007 grad_norm: 3.7094 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.4802 loss: 4.4802 2022/07/26 19:12:11 - mmengine - INFO - Epoch(train) [5][1220/3757] lr: 9.9878e-03 eta: 3 days, 0:41:38 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 3.6627 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5410 loss: 4.5410 2022/07/26 19:12:19 - mmengine - INFO - Epoch(train) [5][1240/3757] lr: 9.9878e-03 eta: 3 days, 0:41:30 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 3.5584 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.5084 loss: 4.5084 2022/07/26 19:12:27 - mmengine - INFO - Epoch(train) [5][1260/3757] lr: 9.9878e-03 eta: 3 days, 0:41:16 time: 0.3890 data_time: 0.0143 memory: 17007 grad_norm: 3.6049 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.3925 loss: 4.3925 2022/07/26 19:12:35 - mmengine - INFO - Epoch(train) [5][1280/3757] lr: 9.9878e-03 eta: 3 days, 0:41:06 time: 0.3939 data_time: 0.0157 memory: 17007 grad_norm: 3.6868 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6218 loss: 4.6218 2022/07/26 19:12:43 - mmengine - INFO - Epoch(train) [5][1300/3757] lr: 9.9878e-03 eta: 3 days, 0:40:54 time: 0.3915 data_time: 0.0151 memory: 17007 grad_norm: 3.6444 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6481 loss: 4.6481 2022/07/26 19:12:51 - mmengine - INFO - Epoch(train) [5][1320/3757] lr: 9.9878e-03 eta: 3 days, 0:40:42 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 3.5307 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3917 loss: 4.3917 2022/07/26 19:12:59 - mmengine - INFO - Epoch(train) [5][1340/3757] lr: 9.9878e-03 eta: 3 days, 0:40:34 time: 0.3964 data_time: 0.0168 memory: 17007 grad_norm: 3.6169 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3423 loss: 4.3423 2022/07/26 19:13:06 - mmengine - INFO - Epoch(train) [5][1360/3757] lr: 9.9878e-03 eta: 3 days, 0:40:22 time: 0.3911 data_time: 0.0150 memory: 17007 grad_norm: 3.5939 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5059 loss: 4.5059 2022/07/26 19:13:14 - mmengine - INFO - Epoch(train) [5][1380/3757] lr: 9.9878e-03 eta: 3 days, 0:40:08 time: 0.3892 data_time: 0.0146 memory: 17007 grad_norm: 3.6728 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3341 loss: 4.3341 2022/07/26 19:13:22 - mmengine - INFO - Epoch(train) [5][1400/3757] lr: 9.9878e-03 eta: 3 days, 0:40:08 time: 0.4061 data_time: 0.0172 memory: 17007 grad_norm: 3.5751 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.5457 loss: 4.5457 2022/07/26 19:13:30 - mmengine - INFO - Epoch(train) [5][1420/3757] lr: 9.9878e-03 eta: 3 days, 0:39:55 time: 0.3907 data_time: 0.0161 memory: 17007 grad_norm: 3.5909 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2791 loss: 4.2791 2022/07/26 19:13:38 - mmengine - INFO - Epoch(train) [5][1440/3757] lr: 9.9878e-03 eta: 3 days, 0:39:44 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 3.5932 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6193 loss: 4.6193 2022/07/26 19:13:46 - mmengine - INFO - Epoch(train) [5][1460/3757] lr: 9.9878e-03 eta: 3 days, 0:39:32 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 3.4972 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.5860 loss: 4.5860 2022/07/26 19:13:54 - mmengine - INFO - Epoch(train) [5][1480/3757] lr: 9.9878e-03 eta: 3 days, 0:39:19 time: 0.3898 data_time: 0.0147 memory: 17007 grad_norm: 3.5097 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.4409 loss: 4.4409 2022/07/26 19:14:01 - mmengine - INFO - Epoch(train) [5][1500/3757] lr: 9.9878e-03 eta: 3 days, 0:39:09 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 3.5616 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1911 loss: 4.1911 2022/07/26 19:14:09 - mmengine - INFO - Epoch(train) [5][1520/3757] lr: 9.9878e-03 eta: 3 days, 0:38:59 time: 0.3943 data_time: 0.0154 memory: 17007 grad_norm: 3.6552 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3792 loss: 4.3792 2022/07/26 19:14:17 - mmengine - INFO - Epoch(train) [5][1540/3757] lr: 9.9878e-03 eta: 3 days, 0:38:53 time: 0.3985 data_time: 0.0161 memory: 17007 grad_norm: 3.5805 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.4035 loss: 4.4035 2022/07/26 19:14:25 - mmengine - INFO - Epoch(train) [5][1560/3757] lr: 9.9878e-03 eta: 3 days, 0:38:40 time: 0.3909 data_time: 0.0153 memory: 17007 grad_norm: 3.6315 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.2931 loss: 4.2931 2022/07/26 19:14:33 - mmengine - INFO - Epoch(train) [5][1580/3757] lr: 9.9878e-03 eta: 3 days, 0:38:28 time: 0.3908 data_time: 0.0145 memory: 17007 grad_norm: 3.7332 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.4546 loss: 4.4546 2022/07/26 19:14:41 - mmengine - INFO - Epoch(train) [5][1600/3757] lr: 9.9878e-03 eta: 3 days, 0:38:15 time: 0.3906 data_time: 0.0161 memory: 17007 grad_norm: 3.6313 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4888 loss: 4.4888 2022/07/26 19:14:49 - mmengine - INFO - Epoch(train) [5][1620/3757] lr: 9.9878e-03 eta: 3 days, 0:38:13 time: 0.4028 data_time: 0.0152 memory: 17007 grad_norm: 3.5537 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.3991 loss: 4.3991 2022/07/26 19:14:57 - mmengine - INFO - Epoch(train) [5][1640/3757] lr: 9.9878e-03 eta: 3 days, 0:38:05 time: 0.3963 data_time: 0.0164 memory: 17007 grad_norm: 3.6851 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3594 loss: 4.3594 2022/07/26 19:15:05 - mmengine - INFO - Epoch(train) [5][1660/3757] lr: 9.9878e-03 eta: 3 days, 0:37:52 time: 0.3904 data_time: 0.0156 memory: 17007 grad_norm: 3.5162 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4723 loss: 4.4723 2022/07/26 19:15:12 - mmengine - INFO - Epoch(train) [5][1680/3757] lr: 9.9878e-03 eta: 3 days, 0:37:40 time: 0.3911 data_time: 0.0147 memory: 17007 grad_norm: 3.6324 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2528 loss: 4.2528 2022/07/26 19:15:20 - mmengine - INFO - Epoch(train) [5][1700/3757] lr: 9.9878e-03 eta: 3 days, 0:37:33 time: 0.3984 data_time: 0.0171 memory: 17007 grad_norm: 3.6896 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.4465 loss: 4.4465 2022/07/26 19:15:28 - mmengine - INFO - Epoch(train) [5][1720/3757] lr: 9.9878e-03 eta: 3 days, 0:37:21 time: 0.3909 data_time: 0.0157 memory: 17007 grad_norm: 3.5904 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3680 loss: 4.3680 2022/07/26 19:15:36 - mmengine - INFO - Epoch(train) [5][1740/3757] lr: 9.9878e-03 eta: 3 days, 0:37:13 time: 0.3958 data_time: 0.0161 memory: 17007 grad_norm: 3.5132 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3789 loss: 4.3789 2022/07/26 19:15:44 - mmengine - INFO - Epoch(train) [5][1760/3757] lr: 9.9878e-03 eta: 3 days, 0:37:01 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 3.6684 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2542 loss: 4.2542 2022/07/26 19:15:52 - mmengine - INFO - Epoch(train) [5][1780/3757] lr: 9.9878e-03 eta: 3 days, 0:36:46 time: 0.3885 data_time: 0.0141 memory: 17007 grad_norm: 3.6595 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.3678 loss: 4.3678 2022/07/26 19:16:00 - mmengine - INFO - Epoch(train) [5][1800/3757] lr: 9.9878e-03 eta: 3 days, 0:36:36 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 3.5724 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.3150 loss: 4.3150 2022/07/26 19:16:07 - mmengine - INFO - Epoch(train) [5][1820/3757] lr: 9.9878e-03 eta: 3 days, 0:36:24 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 3.6551 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3084 loss: 4.3084 2022/07/26 19:16:15 - mmengine - INFO - Epoch(train) [5][1840/3757] lr: 9.9878e-03 eta: 3 days, 0:36:16 time: 0.3955 data_time: 0.0157 memory: 17007 grad_norm: 3.5471 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1663 loss: 4.1663 2022/07/26 19:16:23 - mmengine - INFO - Epoch(train) [5][1860/3757] lr: 9.9878e-03 eta: 3 days, 0:36:04 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 3.6063 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4790 loss: 4.4790 2022/07/26 19:16:31 - mmengine - INFO - Epoch(train) [5][1880/3757] lr: 9.9878e-03 eta: 3 days, 0:35:52 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 3.5936 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.4556 loss: 4.4556 2022/07/26 19:16:39 - mmengine - INFO - Epoch(train) [5][1900/3757] lr: 9.9878e-03 eta: 3 days, 0:35:42 time: 0.3941 data_time: 0.0161 memory: 17007 grad_norm: 3.6975 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0699 loss: 4.0699 2022/07/26 19:16:47 - mmengine - INFO - Epoch(train) [5][1920/3757] lr: 9.9878e-03 eta: 3 days, 0:35:35 time: 0.3973 data_time: 0.0150 memory: 17007 grad_norm: 3.5875 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6255 loss: 4.6255 2022/07/26 19:16:55 - mmengine - INFO - Epoch(train) [5][1940/3757] lr: 9.9878e-03 eta: 3 days, 0:35:21 time: 0.3895 data_time: 0.0150 memory: 17007 grad_norm: 3.6682 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.6175 loss: 4.6175 2022/07/26 19:17:02 - mmengine - INFO - Epoch(train) [5][1960/3757] lr: 9.9878e-03 eta: 3 days, 0:35:13 time: 0.3960 data_time: 0.0160 memory: 17007 grad_norm: 3.6095 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.4113 loss: 4.4113 2022/07/26 19:17:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:17:10 - mmengine - INFO - Epoch(train) [5][1980/3757] lr: 9.9878e-03 eta: 3 days, 0:35:00 time: 0.3890 data_time: 0.0143 memory: 17007 grad_norm: 3.6155 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0385 loss: 4.0385 2022/07/26 19:17:18 - mmengine - INFO - Epoch(train) [5][2000/3757] lr: 9.9878e-03 eta: 3 days, 0:34:50 time: 0.3937 data_time: 0.0168 memory: 17007 grad_norm: 3.6830 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.4485 loss: 4.4485 2022/07/26 19:17:26 - mmengine - INFO - Epoch(train) [5][2020/3757] lr: 9.9878e-03 eta: 3 days, 0:34:40 time: 0.3941 data_time: 0.0145 memory: 17007 grad_norm: 3.6006 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2512 loss: 4.2512 2022/07/26 19:17:34 - mmengine - INFO - Epoch(train) [5][2040/3757] lr: 9.9878e-03 eta: 3 days, 0:34:28 time: 0.3906 data_time: 0.0152 memory: 17007 grad_norm: 3.6750 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1195 loss: 4.1195 2022/07/26 19:17:42 - mmengine - INFO - Epoch(train) [5][2060/3757] lr: 9.9878e-03 eta: 3 days, 0:34:19 time: 0.3950 data_time: 0.0160 memory: 17007 grad_norm: 3.7014 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2973 loss: 4.2973 2022/07/26 19:17:50 - mmengine - INFO - Epoch(train) [5][2080/3757] lr: 9.9878e-03 eta: 3 days, 0:34:06 time: 0.3909 data_time: 0.0154 memory: 17007 grad_norm: 3.6506 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2336 loss: 4.2336 2022/07/26 19:17:57 - mmengine - INFO - Epoch(train) [5][2100/3757] lr: 9.9878e-03 eta: 3 days, 0:33:57 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 3.6394 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4826 loss: 4.4826 2022/07/26 19:18:05 - mmengine - INFO - Epoch(train) [5][2120/3757] lr: 9.9878e-03 eta: 3 days, 0:33:45 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 3.5110 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2950 loss: 4.2950 2022/07/26 19:18:13 - mmengine - INFO - Epoch(train) [5][2140/3757] lr: 9.9878e-03 eta: 3 days, 0:33:32 time: 0.3890 data_time: 0.0132 memory: 17007 grad_norm: 3.6060 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4260 loss: 4.4260 2022/07/26 19:18:21 - mmengine - INFO - Epoch(train) [5][2160/3757] lr: 9.9878e-03 eta: 3 days, 0:33:20 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 3.6677 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3897 loss: 4.3897 2022/07/26 19:18:29 - mmengine - INFO - Epoch(train) [5][2180/3757] lr: 9.9878e-03 eta: 3 days, 0:33:07 time: 0.3896 data_time: 0.0145 memory: 17007 grad_norm: 3.6703 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2567 loss: 4.2567 2022/07/26 19:18:37 - mmengine - INFO - Epoch(train) [5][2200/3757] lr: 9.9878e-03 eta: 3 days, 0:32:57 time: 0.3929 data_time: 0.0164 memory: 17007 grad_norm: 3.7305 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3668 loss: 4.3668 2022/07/26 19:18:44 - mmengine - INFO - Epoch(train) [5][2220/3757] lr: 9.9878e-03 eta: 3 days, 0:32:44 time: 0.3902 data_time: 0.0156 memory: 17007 grad_norm: 3.7285 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5642 loss: 4.5642 2022/07/26 19:18:52 - mmengine - INFO - Epoch(train) [5][2240/3757] lr: 9.9878e-03 eta: 3 days, 0:32:33 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 3.5088 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3415 loss: 4.3415 2022/07/26 19:19:00 - mmengine - INFO - Epoch(train) [5][2260/3757] lr: 9.9878e-03 eta: 3 days, 0:32:28 time: 0.4007 data_time: 0.0154 memory: 17007 grad_norm: 3.6036 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3657 loss: 4.3657 2022/07/26 19:19:08 - mmengine - INFO - Epoch(train) [5][2280/3757] lr: 9.9878e-03 eta: 3 days, 0:32:19 time: 0.3946 data_time: 0.0149 memory: 17007 grad_norm: 3.5995 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2893 loss: 4.2893 2022/07/26 19:19:16 - mmengine - INFO - Epoch(train) [5][2300/3757] lr: 9.9878e-03 eta: 3 days, 0:32:18 time: 0.4056 data_time: 0.0165 memory: 17007 grad_norm: 3.6759 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.4960 loss: 4.4960 2022/07/26 19:19:24 - mmengine - INFO - Epoch(train) [5][2320/3757] lr: 9.9878e-03 eta: 3 days, 0:32:06 time: 0.3904 data_time: 0.0149 memory: 17007 grad_norm: 3.6204 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.1356 loss: 4.1356 2022/07/26 19:19:32 - mmengine - INFO - Epoch(train) [5][2340/3757] lr: 9.9878e-03 eta: 3 days, 0:31:53 time: 0.3904 data_time: 0.0144 memory: 17007 grad_norm: 3.6354 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.3325 loss: 4.3325 2022/07/26 19:19:40 - mmengine - INFO - Epoch(train) [5][2360/3757] lr: 9.9878e-03 eta: 3 days, 0:32:00 time: 0.4156 data_time: 0.0148 memory: 17007 grad_norm: 3.6324 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4225 loss: 4.4225 2022/07/26 19:19:48 - mmengine - INFO - Epoch(train) [5][2380/3757] lr: 9.9878e-03 eta: 3 days, 0:31:48 time: 0.3908 data_time: 0.0154 memory: 17007 grad_norm: 3.7448 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5914 loss: 4.5914 2022/07/26 19:19:56 - mmengine - INFO - Epoch(train) [5][2400/3757] lr: 9.9878e-03 eta: 3 days, 0:31:58 time: 0.4198 data_time: 0.0162 memory: 17007 grad_norm: 3.6318 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3617 loss: 4.3617 2022/07/26 19:20:04 - mmengine - INFO - Epoch(train) [5][2420/3757] lr: 9.9878e-03 eta: 3 days, 0:31:46 time: 0.3907 data_time: 0.0154 memory: 17007 grad_norm: 3.7105 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2906 loss: 4.2906 2022/07/26 19:20:12 - mmengine - INFO - Epoch(train) [5][2440/3757] lr: 9.9878e-03 eta: 3 days, 0:31:34 time: 0.3908 data_time: 0.0147 memory: 17007 grad_norm: 3.7574 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4701 loss: 4.4701 2022/07/26 19:20:20 - mmengine - INFO - Epoch(train) [5][2460/3757] lr: 9.9878e-03 eta: 3 days, 0:31:23 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 3.6183 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3084 loss: 4.3084 2022/07/26 19:20:28 - mmengine - INFO - Epoch(train) [5][2480/3757] lr: 9.9878e-03 eta: 3 days, 0:31:11 time: 0.3903 data_time: 0.0152 memory: 17007 grad_norm: 3.6655 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5497 loss: 4.5497 2022/07/26 19:20:36 - mmengine - INFO - Epoch(train) [5][2500/3757] lr: 9.9878e-03 eta: 3 days, 0:31:04 time: 0.3972 data_time: 0.0146 memory: 17007 grad_norm: 3.6243 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4711 loss: 4.4711 2022/07/26 19:20:43 - mmengine - INFO - Epoch(train) [5][2520/3757] lr: 9.9878e-03 eta: 3 days, 0:30:53 time: 0.3924 data_time: 0.0168 memory: 17007 grad_norm: 3.7359 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.5428 loss: 4.5428 2022/07/26 19:20:51 - mmengine - INFO - Epoch(train) [5][2540/3757] lr: 9.9878e-03 eta: 3 days, 0:30:40 time: 0.3902 data_time: 0.0152 memory: 17007 grad_norm: 3.6855 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.4460 loss: 4.4460 2022/07/26 19:20:59 - mmengine - INFO - Epoch(train) [5][2560/3757] lr: 9.9878e-03 eta: 3 days, 0:30:31 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 3.6055 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5160 loss: 4.5160 2022/07/26 19:21:07 - mmengine - INFO - Epoch(train) [5][2580/3757] lr: 9.9878e-03 eta: 3 days, 0:30:19 time: 0.3905 data_time: 0.0144 memory: 17007 grad_norm: 3.5861 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4242 loss: 4.4242 2022/07/26 19:21:15 - mmengine - INFO - Epoch(train) [5][2600/3757] lr: 9.9878e-03 eta: 3 days, 0:30:07 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 3.7561 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2034 loss: 4.2034 2022/07/26 19:21:23 - mmengine - INFO - Epoch(train) [5][2620/3757] lr: 9.9878e-03 eta: 3 days, 0:29:55 time: 0.3907 data_time: 0.0138 memory: 17007 grad_norm: 3.6968 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2741 loss: 4.2741 2022/07/26 19:21:30 - mmengine - INFO - Epoch(train) [5][2640/3757] lr: 9.9878e-03 eta: 3 days, 0:29:43 time: 0.3918 data_time: 0.0152 memory: 17007 grad_norm: 3.6527 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 4.1816 loss: 4.1816 2022/07/26 19:21:38 - mmengine - INFO - Epoch(train) [5][2660/3757] lr: 9.9878e-03 eta: 3 days, 0:29:36 time: 0.3967 data_time: 0.0151 memory: 17007 grad_norm: 3.7339 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.3500 loss: 4.3500 2022/07/26 19:21:46 - mmengine - INFO - Epoch(train) [5][2680/3757] lr: 9.9878e-03 eta: 3 days, 0:29:23 time: 0.3893 data_time: 0.0143 memory: 17007 grad_norm: 3.7042 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2493 loss: 4.2493 2022/07/26 19:21:54 - mmengine - INFO - Epoch(train) [5][2700/3757] lr: 9.9878e-03 eta: 3 days, 0:29:10 time: 0.3901 data_time: 0.0151 memory: 17007 grad_norm: 3.7823 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.5397 loss: 4.5397 2022/07/26 19:22:02 - mmengine - INFO - Epoch(train) [5][2720/3757] lr: 9.9878e-03 eta: 3 days, 0:29:01 time: 0.3942 data_time: 0.0162 memory: 17007 grad_norm: 3.6739 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5434 loss: 4.5434 2022/07/26 19:22:10 - mmengine - INFO - Epoch(train) [5][2740/3757] lr: 9.9878e-03 eta: 3 days, 0:28:49 time: 0.3908 data_time: 0.0149 memory: 17007 grad_norm: 3.7127 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2161 loss: 4.2161 2022/07/26 19:22:18 - mmengine - INFO - Epoch(train) [5][2760/3757] lr: 9.9878e-03 eta: 3 days, 0:28:56 time: 0.4163 data_time: 0.0158 memory: 17007 grad_norm: 3.6939 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2753 loss: 4.2753 2022/07/26 19:22:26 - mmengine - INFO - Epoch(train) [5][2780/3757] lr: 9.9878e-03 eta: 3 days, 0:28:43 time: 0.3903 data_time: 0.0149 memory: 17007 grad_norm: 3.5406 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2004 loss: 4.2004 2022/07/26 19:22:34 - mmengine - INFO - Epoch(train) [5][2800/3757] lr: 9.9878e-03 eta: 3 days, 0:28:31 time: 0.3901 data_time: 0.0147 memory: 17007 grad_norm: 3.6598 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3735 loss: 4.3735 2022/07/26 19:22:41 - mmengine - INFO - Epoch(train) [5][2820/3757] lr: 9.9878e-03 eta: 3 days, 0:28:21 time: 0.3937 data_time: 0.0155 memory: 17007 grad_norm: 3.6556 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1281 loss: 4.1281 2022/07/26 19:22:49 - mmengine - INFO - Epoch(train) [5][2840/3757] lr: 9.9878e-03 eta: 3 days, 0:28:09 time: 0.3910 data_time: 0.0152 memory: 17007 grad_norm: 3.9091 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3288 loss: 4.3288 2022/07/26 19:22:57 - mmengine - INFO - Epoch(train) [5][2860/3757] lr: 9.9878e-03 eta: 3 days, 0:28:10 time: 0.4080 data_time: 0.0150 memory: 17007 grad_norm: 3.6496 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2231 loss: 4.2231 2022/07/26 19:23:05 - mmengine - INFO - Epoch(train) [5][2880/3757] lr: 9.9878e-03 eta: 3 days, 0:27:58 time: 0.3909 data_time: 0.0155 memory: 17007 grad_norm: 3.6186 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3070 loss: 4.3070 2022/07/26 19:23:13 - mmengine - INFO - Epoch(train) [5][2900/3757] lr: 9.9878e-03 eta: 3 days, 0:27:45 time: 0.3895 data_time: 0.0148 memory: 17007 grad_norm: 3.7031 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4773 loss: 4.4773 2022/07/26 19:23:21 - mmengine - INFO - Epoch(train) [5][2920/3757] lr: 9.9878e-03 eta: 3 days, 0:27:36 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 3.6255 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2667 loss: 4.2667 2022/07/26 19:23:29 - mmengine - INFO - Epoch(train) [5][2940/3757] lr: 9.9878e-03 eta: 3 days, 0:27:23 time: 0.3902 data_time: 0.0143 memory: 17007 grad_norm: 3.7489 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2509 loss: 4.2509 2022/07/26 19:23:37 - mmengine - INFO - Epoch(train) [5][2960/3757] lr: 9.9878e-03 eta: 3 days, 0:27:27 time: 0.4117 data_time: 0.0166 memory: 17007 grad_norm: 3.7210 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2019 loss: 4.2019 2022/07/26 19:23:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:23:45 - mmengine - INFO - Epoch(train) [5][2980/3757] lr: 9.9878e-03 eta: 3 days, 0:27:15 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 3.6676 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.5029 loss: 4.5029 2022/07/26 19:23:53 - mmengine - INFO - Epoch(train) [5][3000/3757] lr: 9.9878e-03 eta: 3 days, 0:27:02 time: 0.3895 data_time: 0.0148 memory: 17007 grad_norm: 3.6426 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3792 loss: 4.3792 2022/07/26 19:24:00 - mmengine - INFO - Epoch(train) [5][3020/3757] lr: 9.9878e-03 eta: 3 days, 0:26:52 time: 0.3943 data_time: 0.0161 memory: 17007 grad_norm: 3.7401 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.2795 loss: 4.2795 2022/07/26 19:24:08 - mmengine - INFO - Epoch(train) [5][3040/3757] lr: 9.9878e-03 eta: 3 days, 0:26:42 time: 0.3926 data_time: 0.0171 memory: 17007 grad_norm: 3.7058 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.5665 loss: 4.5665 2022/07/26 19:24:16 - mmengine - INFO - Epoch(train) [5][3060/3757] lr: 9.9878e-03 eta: 3 days, 0:26:41 time: 0.4061 data_time: 0.0154 memory: 17007 grad_norm: 3.6721 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.2097 loss: 4.2097 2022/07/26 19:24:24 - mmengine - INFO - Epoch(train) [5][3080/3757] lr: 9.9878e-03 eta: 3 days, 0:26:29 time: 0.3911 data_time: 0.0152 memory: 17007 grad_norm: 3.6791 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.1983 loss: 4.1983 2022/07/26 19:24:32 - mmengine - INFO - Epoch(train) [5][3100/3757] lr: 9.9878e-03 eta: 3 days, 0:26:16 time: 0.3887 data_time: 0.0146 memory: 17007 grad_norm: 3.6561 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1854 loss: 4.1854 2022/07/26 19:24:40 - mmengine - INFO - Epoch(train) [5][3120/3757] lr: 9.9878e-03 eta: 3 days, 0:26:07 time: 0.3946 data_time: 0.0165 memory: 17007 grad_norm: 3.7335 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2767 loss: 4.2767 2022/07/26 19:24:48 - mmengine - INFO - Epoch(train) [5][3140/3757] lr: 9.9878e-03 eta: 3 days, 0:25:55 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 3.7884 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3209 loss: 4.3209 2022/07/26 19:24:56 - mmengine - INFO - Epoch(train) [5][3160/3757] lr: 9.9878e-03 eta: 3 days, 0:25:43 time: 0.3901 data_time: 0.0156 memory: 17007 grad_norm: 3.6844 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6066 loss: 4.6066 2022/07/26 19:25:03 - mmengine - INFO - Epoch(train) [5][3180/3757] lr: 9.9878e-03 eta: 3 days, 0:25:32 time: 0.3926 data_time: 0.0165 memory: 17007 grad_norm: 3.6311 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4256 loss: 4.4256 2022/07/26 19:25:11 - mmengine - INFO - Epoch(train) [5][3200/3757] lr: 9.9878e-03 eta: 3 days, 0:25:21 time: 0.3918 data_time: 0.0162 memory: 17007 grad_norm: 3.7025 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2816 loss: 4.2816 2022/07/26 19:25:19 - mmengine - INFO - Epoch(train) [5][3220/3757] lr: 9.9878e-03 eta: 3 days, 0:25:10 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 3.6622 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3748 loss: 4.3748 2022/07/26 19:25:27 - mmengine - INFO - Epoch(train) [5][3240/3757] lr: 9.9878e-03 eta: 3 days, 0:24:58 time: 0.3907 data_time: 0.0157 memory: 17007 grad_norm: 3.6569 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.3050 loss: 4.3050 2022/07/26 19:25:35 - mmengine - INFO - Epoch(train) [5][3260/3757] lr: 9.9878e-03 eta: 3 days, 0:24:46 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 3.7297 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.5001 loss: 4.5001 2022/07/26 19:25:43 - mmengine - INFO - Epoch(train) [5][3280/3757] lr: 9.9878e-03 eta: 3 days, 0:24:45 time: 0.4053 data_time: 0.0167 memory: 17007 grad_norm: 3.7002 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.4029 loss: 4.4029 2022/07/26 19:25:51 - mmengine - INFO - Epoch(train) [5][3300/3757] lr: 9.9878e-03 eta: 3 days, 0:24:34 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 3.7904 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3801 loss: 4.3801 2022/07/26 19:25:59 - mmengine - INFO - Epoch(train) [5][3320/3757] lr: 9.9878e-03 eta: 3 days, 0:24:28 time: 0.3987 data_time: 0.0158 memory: 17007 grad_norm: 3.7802 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.2119 loss: 4.2119 2022/07/26 19:26:06 - mmengine - INFO - Epoch(train) [5][3340/3757] lr: 9.9878e-03 eta: 3 days, 0:24:17 time: 0.3919 data_time: 0.0150 memory: 17007 grad_norm: 3.6202 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.4874 loss: 4.4874 2022/07/26 19:26:14 - mmengine - INFO - Epoch(train) [5][3360/3757] lr: 9.9878e-03 eta: 3 days, 0:24:06 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 3.6028 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4284 loss: 4.4284 2022/07/26 19:26:22 - mmengine - INFO - Epoch(train) [5][3380/3757] lr: 9.9878e-03 eta: 3 days, 0:24:06 time: 0.4083 data_time: 0.0157 memory: 17007 grad_norm: 3.6260 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4101 loss: 4.4101 2022/07/26 19:26:30 - mmengine - INFO - Epoch(train) [5][3400/3757] lr: 9.9878e-03 eta: 3 days, 0:23:57 time: 0.3942 data_time: 0.0170 memory: 17007 grad_norm: 3.6231 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3095 loss: 4.3095 2022/07/26 19:26:38 - mmengine - INFO - Epoch(train) [5][3420/3757] lr: 9.9878e-03 eta: 3 days, 0:23:48 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 3.8020 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 4.4351 loss: 4.4351 2022/07/26 19:26:46 - mmengine - INFO - Epoch(train) [5][3440/3757] lr: 9.9878e-03 eta: 3 days, 0:23:38 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 3.7990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 4.5665 loss: 4.5665 2022/07/26 19:26:54 - mmengine - INFO - Epoch(train) [5][3460/3757] lr: 9.9878e-03 eta: 3 days, 0:23:27 time: 0.3910 data_time: 0.0146 memory: 17007 grad_norm: 3.7942 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.3978 loss: 4.3978 2022/07/26 19:27:02 - mmengine - INFO - Epoch(train) [5][3480/3757] lr: 9.9878e-03 eta: 3 days, 0:23:27 time: 0.4084 data_time: 0.0165 memory: 17007 grad_norm: 3.7352 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4201 loss: 4.4201 2022/07/26 19:27:10 - mmengine - INFO - Epoch(train) [5][3500/3757] lr: 9.9878e-03 eta: 3 days, 0:23:17 time: 0.3933 data_time: 0.0175 memory: 17007 grad_norm: 3.6143 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3539 loss: 4.3539 2022/07/26 19:27:18 - mmengine - INFO - Epoch(train) [5][3520/3757] lr: 9.9878e-03 eta: 3 days, 0:23:17 time: 0.4071 data_time: 0.0166 memory: 17007 grad_norm: 3.6834 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1292 loss: 4.1292 2022/07/26 19:27:26 - mmengine - INFO - Epoch(train) [5][3540/3757] lr: 9.9878e-03 eta: 3 days, 0:23:07 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 3.7130 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4330 loss: 4.4330 2022/07/26 19:27:34 - mmengine - INFO - Epoch(train) [5][3560/3757] lr: 9.9878e-03 eta: 3 days, 0:22:56 time: 0.3917 data_time: 0.0156 memory: 17007 grad_norm: 3.7523 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1445 loss: 4.1445 2022/07/26 19:27:42 - mmengine - INFO - Epoch(train) [5][3580/3757] lr: 9.9878e-03 eta: 3 days, 0:22:44 time: 0.3917 data_time: 0.0156 memory: 17007 grad_norm: 3.7073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.1563 loss: 4.1563 2022/07/26 19:27:49 - mmengine - INFO - Epoch(train) [5][3600/3757] lr: 9.9878e-03 eta: 3 days, 0:22:34 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 3.7180 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3580 loss: 4.3580 2022/07/26 19:27:57 - mmengine - INFO - Epoch(train) [5][3620/3757] lr: 9.9878e-03 eta: 3 days, 0:22:22 time: 0.3906 data_time: 0.0147 memory: 17007 grad_norm: 3.7456 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1878 loss: 4.1878 2022/07/26 19:28:05 - mmengine - INFO - Epoch(train) [5][3640/3757] lr: 9.9878e-03 eta: 3 days, 0:22:09 time: 0.3892 data_time: 0.0161 memory: 17007 grad_norm: 3.8517 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3783 loss: 4.3783 2022/07/26 19:28:13 - mmengine - INFO - Epoch(train) [5][3660/3757] lr: 9.9878e-03 eta: 3 days, 0:21:58 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 3.6217 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.4241 loss: 4.4241 2022/07/26 19:28:21 - mmengine - INFO - Epoch(train) [5][3680/3757] lr: 9.9878e-03 eta: 3 days, 0:21:54 time: 0.4018 data_time: 0.0169 memory: 17007 grad_norm: 3.6254 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3548 loss: 4.3548 2022/07/26 19:28:29 - mmengine - INFO - Epoch(train) [5][3700/3757] lr: 9.9878e-03 eta: 3 days, 0:21:42 time: 0.3913 data_time: 0.0165 memory: 17007 grad_norm: 3.6527 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2709 loss: 4.2709 2022/07/26 19:28:37 - mmengine - INFO - Epoch(train) [5][3720/3757] lr: 9.9878e-03 eta: 3 days, 0:21:42 time: 0.4075 data_time: 0.0152 memory: 17007 grad_norm: 3.5660 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 4.4484 loss: 4.4484 2022/07/26 19:28:45 - mmengine - INFO - Epoch(train) [5][3740/3757] lr: 9.9878e-03 eta: 3 days, 0:21:29 time: 0.3890 data_time: 0.0151 memory: 17007 grad_norm: 3.6420 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1419 loss: 4.1419 2022/07/26 19:28:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:28:51 - mmengine - INFO - Epoch(train) [5][3757/3757] lr: 9.9878e-03 eta: 3 days, 0:21:29 time: 0.3887 data_time: 0.0168 memory: 17007 grad_norm: 3.7638 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 4.3956 loss: 4.3956 2022/07/26 19:28:51 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/07/26 19:29:02 - mmengine - INFO - Epoch(train) [6][20/3757] lr: 9.9810e-03 eta: 3 days, 0:17:52 time: 0.4438 data_time: 0.0668 memory: 17007 grad_norm: 3.6562 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 4.2820 loss: 4.2820 2022/07/26 19:29:10 - mmengine - INFO - Epoch(train) [6][40/3757] lr: 9.9810e-03 eta: 3 days, 0:17:44 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 3.6857 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2906 loss: 4.2906 2022/07/26 19:29:18 - mmengine - INFO - Epoch(train) [6][60/3757] lr: 9.9810e-03 eta: 3 days, 0:17:38 time: 0.3982 data_time: 0.0145 memory: 17007 grad_norm: 3.6218 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2637 loss: 4.2637 2022/07/26 19:29:26 - mmengine - INFO - Epoch(train) [6][80/3757] lr: 9.9810e-03 eta: 3 days, 0:17:26 time: 0.3912 data_time: 0.0148 memory: 17007 grad_norm: 3.7549 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2804 loss: 4.2804 2022/07/26 19:29:34 - mmengine - INFO - Epoch(train) [6][100/3757] lr: 9.9810e-03 eta: 3 days, 0:17:14 time: 0.3899 data_time: 0.0139 memory: 17007 grad_norm: 3.6735 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1712 loss: 4.1712 2022/07/26 19:29:42 - mmengine - INFO - Epoch(train) [6][120/3757] lr: 9.9810e-03 eta: 3 days, 0:17:03 time: 0.3904 data_time: 0.0147 memory: 17007 grad_norm: 3.6970 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3926 loss: 4.3926 2022/07/26 19:29:50 - mmengine - INFO - Epoch(train) [6][140/3757] lr: 9.9810e-03 eta: 3 days, 0:16:54 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 3.6897 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4338 loss: 4.4338 2022/07/26 19:29:57 - mmengine - INFO - Epoch(train) [6][160/3757] lr: 9.9810e-03 eta: 3 days, 0:16:45 time: 0.3954 data_time: 0.0165 memory: 17007 grad_norm: 3.6797 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 4.1457 loss: 4.1457 2022/07/26 19:30:05 - mmengine - INFO - Epoch(train) [6][180/3757] lr: 9.9810e-03 eta: 3 days, 0:16:33 time: 0.3898 data_time: 0.0152 memory: 17007 grad_norm: 3.6174 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.2314 loss: 4.2314 2022/07/26 19:30:13 - mmengine - INFO - Epoch(train) [6][200/3757] lr: 9.9810e-03 eta: 3 days, 0:16:22 time: 0.3916 data_time: 0.0149 memory: 17007 grad_norm: 3.8123 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9932 loss: 3.9932 2022/07/26 19:30:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:30:21 - mmengine - INFO - Epoch(train) [6][220/3757] lr: 9.9810e-03 eta: 3 days, 0:16:10 time: 0.3901 data_time: 0.0144 memory: 17007 grad_norm: 3.6226 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.3850 loss: 4.3850 2022/07/26 19:30:29 - mmengine - INFO - Epoch(train) [6][240/3757] lr: 9.9810e-03 eta: 3 days, 0:16:05 time: 0.3996 data_time: 0.0166 memory: 17007 grad_norm: 3.6971 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3338 loss: 4.3338 2022/07/26 19:30:37 - mmengine - INFO - Epoch(train) [6][260/3757] lr: 9.9810e-03 eta: 3 days, 0:15:55 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 3.7759 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2542 loss: 4.2542 2022/07/26 19:30:45 - mmengine - INFO - Epoch(train) [6][280/3757] lr: 9.9810e-03 eta: 3 days, 0:15:44 time: 0.3904 data_time: 0.0150 memory: 17007 grad_norm: 3.7324 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4289 loss: 4.4289 2022/07/26 19:30:52 - mmengine - INFO - Epoch(train) [6][300/3757] lr: 9.9810e-03 eta: 3 days, 0:15:33 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 3.6991 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0735 loss: 4.0735 2022/07/26 19:31:00 - mmengine - INFO - Epoch(train) [6][320/3757] lr: 9.9810e-03 eta: 3 days, 0:15:25 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 3.8730 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.3127 loss: 4.3127 2022/07/26 19:31:08 - mmengine - INFO - Epoch(train) [6][340/3757] lr: 9.9810e-03 eta: 3 days, 0:15:14 time: 0.3912 data_time: 0.0159 memory: 17007 grad_norm: 3.7782 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5907 loss: 4.5907 2022/07/26 19:31:16 - mmengine - INFO - Epoch(train) [6][360/3757] lr: 9.9810e-03 eta: 3 days, 0:15:02 time: 0.3910 data_time: 0.0152 memory: 17007 grad_norm: 3.6900 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0616 loss: 4.0616 2022/07/26 19:31:24 - mmengine - INFO - Epoch(train) [6][380/3757] lr: 9.9810e-03 eta: 3 days, 0:14:55 time: 0.3974 data_time: 0.0149 memory: 17007 grad_norm: 3.6272 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2039 loss: 4.2039 2022/07/26 19:31:32 - mmengine - INFO - Epoch(train) [6][400/3757] lr: 9.9810e-03 eta: 3 days, 0:14:45 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 3.6640 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4221 loss: 4.4221 2022/07/26 19:31:40 - mmengine - INFO - Epoch(train) [6][420/3757] lr: 9.9810e-03 eta: 3 days, 0:14:33 time: 0.3898 data_time: 0.0149 memory: 17007 grad_norm: 3.7535 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.2462 loss: 4.2462 2022/07/26 19:31:47 - mmengine - INFO - Epoch(train) [6][440/3757] lr: 9.9810e-03 eta: 3 days, 0:14:25 time: 0.3958 data_time: 0.0167 memory: 17007 grad_norm: 3.7118 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1825 loss: 4.1825 2022/07/26 19:31:55 - mmengine - INFO - Epoch(train) [6][460/3757] lr: 9.9810e-03 eta: 3 days, 0:14:14 time: 0.3906 data_time: 0.0152 memory: 17007 grad_norm: 3.6842 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1196 loss: 4.1196 2022/07/26 19:32:03 - mmengine - INFO - Epoch(train) [6][480/3757] lr: 9.9810e-03 eta: 3 days, 0:14:02 time: 0.3899 data_time: 0.0148 memory: 17007 grad_norm: 3.7518 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4891 loss: 4.4891 2022/07/26 19:32:11 - mmengine - INFO - Epoch(train) [6][500/3757] lr: 9.9810e-03 eta: 3 days, 0:13:52 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 3.7416 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3548 loss: 4.3548 2022/07/26 19:32:19 - mmengine - INFO - Epoch(train) [6][520/3757] lr: 9.9810e-03 eta: 3 days, 0:13:41 time: 0.3913 data_time: 0.0160 memory: 17007 grad_norm: 3.6841 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.4007 loss: 4.4007 2022/07/26 19:32:27 - mmengine - INFO - Epoch(train) [6][540/3757] lr: 9.9810e-03 eta: 3 days, 0:13:35 time: 0.3993 data_time: 0.0147 memory: 17007 grad_norm: 3.7864 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3751 loss: 4.3751 2022/07/26 19:32:35 - mmengine - INFO - Epoch(train) [6][560/3757] lr: 9.9810e-03 eta: 3 days, 0:13:25 time: 0.3916 data_time: 0.0164 memory: 17007 grad_norm: 3.7204 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3559 loss: 4.3559 2022/07/26 19:32:42 - mmengine - INFO - Epoch(train) [6][580/3757] lr: 9.9810e-03 eta: 3 days, 0:13:13 time: 0.3909 data_time: 0.0147 memory: 17007 grad_norm: 3.6522 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2796 loss: 4.2796 2022/07/26 19:32:50 - mmengine - INFO - Epoch(train) [6][600/3757] lr: 9.9810e-03 eta: 3 days, 0:13:04 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 3.6701 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3196 loss: 4.3196 2022/07/26 19:32:58 - mmengine - INFO - Epoch(train) [6][620/3757] lr: 9.9810e-03 eta: 3 days, 0:12:53 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 3.6619 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3610 loss: 4.3610 2022/07/26 19:33:06 - mmengine - INFO - Epoch(train) [6][640/3757] lr: 9.9810e-03 eta: 3 days, 0:12:42 time: 0.3910 data_time: 0.0163 memory: 17007 grad_norm: 3.8151 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3207 loss: 4.3207 2022/07/26 19:33:14 - mmengine - INFO - Epoch(train) [6][660/3757] lr: 9.9810e-03 eta: 3 days, 0:12:31 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 3.7541 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 4.3655 loss: 4.3655 2022/07/26 19:33:22 - mmengine - INFO - Epoch(train) [6][680/3757] lr: 9.9810e-03 eta: 3 days, 0:12:21 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 3.6759 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.0384 loss: 4.0384 2022/07/26 19:33:30 - mmengine - INFO - Epoch(train) [6][700/3757] lr: 9.9810e-03 eta: 3 days, 0:12:13 time: 0.3959 data_time: 0.0155 memory: 17007 grad_norm: 3.6703 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0810 loss: 4.0810 2022/07/26 19:33:37 - mmengine - INFO - Epoch(train) [6][720/3757] lr: 9.9810e-03 eta: 3 days, 0:12:02 time: 0.3913 data_time: 0.0159 memory: 17007 grad_norm: 3.6983 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.0557 loss: 4.0557 2022/07/26 19:33:45 - mmengine - INFO - Epoch(train) [6][740/3757] lr: 9.9810e-03 eta: 3 days, 0:11:50 time: 0.3896 data_time: 0.0146 memory: 17007 grad_norm: 3.6790 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2429 loss: 4.2429 2022/07/26 19:33:53 - mmengine - INFO - Epoch(train) [6][760/3757] lr: 9.9810e-03 eta: 3 days, 0:11:40 time: 0.3927 data_time: 0.0169 memory: 17007 grad_norm: 3.6731 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2952 loss: 4.2952 2022/07/26 19:34:01 - mmengine - INFO - Epoch(train) [6][780/3757] lr: 9.9810e-03 eta: 3 days, 0:11:30 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 3.7029 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1718 loss: 4.1718 2022/07/26 19:34:09 - mmengine - INFO - Epoch(train) [6][800/3757] lr: 9.9810e-03 eta: 3 days, 0:11:23 time: 0.3968 data_time: 0.0170 memory: 17007 grad_norm: 3.6589 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0471 loss: 4.0471 2022/07/26 19:34:17 - mmengine - INFO - Epoch(train) [6][820/3757] lr: 9.9810e-03 eta: 3 days, 0:11:11 time: 0.3901 data_time: 0.0154 memory: 17007 grad_norm: 3.7187 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2881 loss: 4.2881 2022/07/26 19:34:24 - mmengine - INFO - Epoch(train) [6][840/3757] lr: 9.9810e-03 eta: 3 days, 0:11:00 time: 0.3914 data_time: 0.0160 memory: 17007 grad_norm: 3.8007 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2842 loss: 4.2842 2022/07/26 19:34:32 - mmengine - INFO - Epoch(train) [6][860/3757] lr: 9.9810e-03 eta: 3 days, 0:10:55 time: 0.3992 data_time: 0.0156 memory: 17007 grad_norm: 3.7335 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.3695 loss: 4.3695 2022/07/26 19:34:40 - mmengine - INFO - Epoch(train) [6][880/3757] lr: 9.9810e-03 eta: 3 days, 0:10:44 time: 0.3920 data_time: 0.0160 memory: 17007 grad_norm: 3.7370 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2232 loss: 4.2232 2022/07/26 19:34:48 - mmengine - INFO - Epoch(train) [6][900/3757] lr: 9.9810e-03 eta: 3 days, 0:10:33 time: 0.3907 data_time: 0.0167 memory: 17007 grad_norm: 3.7975 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.3576 loss: 4.3576 2022/07/26 19:34:56 - mmengine - INFO - Epoch(train) [6][920/3757] lr: 9.9810e-03 eta: 3 days, 0:10:21 time: 0.3902 data_time: 0.0153 memory: 17007 grad_norm: 3.8275 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3834 loss: 4.3834 2022/07/26 19:35:04 - mmengine - INFO - Epoch(train) [6][940/3757] lr: 9.9810e-03 eta: 3 days, 0:10:12 time: 0.3935 data_time: 0.0139 memory: 17007 grad_norm: 3.7682 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.3319 loss: 4.3319 2022/07/26 19:35:12 - mmengine - INFO - Epoch(train) [6][960/3757] lr: 9.9810e-03 eta: 3 days, 0:10:06 time: 0.3979 data_time: 0.0165 memory: 17007 grad_norm: 3.7256 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2015 loss: 4.2015 2022/07/26 19:35:20 - mmengine - INFO - Epoch(train) [6][980/3757] lr: 9.9810e-03 eta: 3 days, 0:09:55 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 3.7678 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2535 loss: 4.2535 2022/07/26 19:35:27 - mmengine - INFO - Epoch(train) [6][1000/3757] lr: 9.9810e-03 eta: 3 days, 0:09:44 time: 0.3915 data_time: 0.0166 memory: 17007 grad_norm: 3.7744 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1302 loss: 4.1302 2022/07/26 19:35:35 - mmengine - INFO - Epoch(train) [6][1020/3757] lr: 9.9810e-03 eta: 3 days, 0:09:32 time: 0.3896 data_time: 0.0153 memory: 17007 grad_norm: 3.7967 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.2273 loss: 4.2273 2022/07/26 19:35:43 - mmengine - INFO - Epoch(train) [6][1040/3757] lr: 9.9810e-03 eta: 3 days, 0:09:23 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 3.7454 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4353 loss: 4.4353 2022/07/26 19:35:51 - mmengine - INFO - Epoch(train) [6][1060/3757] lr: 9.9810e-03 eta: 3 days, 0:09:12 time: 0.3917 data_time: 0.0162 memory: 17007 grad_norm: 3.7683 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3246 loss: 4.3246 2022/07/26 19:35:59 - mmengine - INFO - Epoch(train) [6][1080/3757] lr: 9.9810e-03 eta: 3 days, 0:09:04 time: 0.3944 data_time: 0.0164 memory: 17007 grad_norm: 3.7703 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0923 loss: 4.0923 2022/07/26 19:36:07 - mmengine - INFO - Epoch(train) [6][1100/3757] lr: 9.9810e-03 eta: 3 days, 0:08:52 time: 0.3898 data_time: 0.0137 memory: 17007 grad_norm: 3.6947 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1047 loss: 4.1047 2022/07/26 19:36:15 - mmengine - INFO - Epoch(train) [6][1120/3757] lr: 9.9810e-03 eta: 3 days, 0:08:50 time: 0.4051 data_time: 0.0178 memory: 17007 grad_norm: 3.6121 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2573 loss: 4.2573 2022/07/26 19:36:22 - mmengine - INFO - Epoch(train) [6][1140/3757] lr: 9.9810e-03 eta: 3 days, 0:08:40 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 3.7478 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1908 loss: 4.1908 2022/07/26 19:36:30 - mmengine - INFO - Epoch(train) [6][1160/3757] lr: 9.9810e-03 eta: 3 days, 0:08:30 time: 0.3932 data_time: 0.0171 memory: 17007 grad_norm: 3.7572 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4685 loss: 4.4685 2022/07/26 19:36:38 - mmengine - INFO - Epoch(train) [6][1180/3757] lr: 9.9810e-03 eta: 3 days, 0:08:18 time: 0.3902 data_time: 0.0142 memory: 17007 grad_norm: 3.7386 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2431 loss: 4.2431 2022/07/26 19:36:46 - mmengine - INFO - Epoch(train) [6][1200/3757] lr: 9.9810e-03 eta: 3 days, 0:08:07 time: 0.3907 data_time: 0.0161 memory: 17007 grad_norm: 3.7767 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3996 loss: 4.3996 2022/07/26 19:36:52 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:36:54 - mmengine - INFO - Epoch(train) [6][1220/3757] lr: 9.9810e-03 eta: 3 days, 0:07:57 time: 0.3927 data_time: 0.0141 memory: 17007 grad_norm: 3.7719 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3601 loss: 4.3601 2022/07/26 19:37:02 - mmengine - INFO - Epoch(train) [6][1240/3757] lr: 9.9810e-03 eta: 3 days, 0:07:49 time: 0.3947 data_time: 0.0177 memory: 17007 grad_norm: 3.6415 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9572 loss: 3.9572 2022/07/26 19:37:10 - mmengine - INFO - Epoch(train) [6][1260/3757] lr: 9.9810e-03 eta: 3 days, 0:07:40 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 3.6800 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0324 loss: 4.0324 2022/07/26 19:37:17 - mmengine - INFO - Epoch(train) [6][1280/3757] lr: 9.9810e-03 eta: 3 days, 0:07:31 time: 0.3937 data_time: 0.0166 memory: 17007 grad_norm: 3.7359 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1267 loss: 4.1267 2022/07/26 19:37:25 - mmengine - INFO - Epoch(train) [6][1300/3757] lr: 9.9810e-03 eta: 3 days, 0:07:19 time: 0.3905 data_time: 0.0159 memory: 17007 grad_norm: 3.7927 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2518 loss: 4.2518 2022/07/26 19:37:33 - mmengine - INFO - Epoch(train) [6][1320/3757] lr: 9.9810e-03 eta: 3 days, 0:07:09 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 3.6520 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2743 loss: 4.2743 2022/07/26 19:37:41 - mmengine - INFO - Epoch(train) [6][1340/3757] lr: 9.9810e-03 eta: 3 days, 0:06:58 time: 0.3912 data_time: 0.0158 memory: 17007 grad_norm: 3.8425 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2615 loss: 4.2615 2022/07/26 19:37:49 - mmengine - INFO - Epoch(train) [6][1360/3757] lr: 9.9810e-03 eta: 3 days, 0:06:48 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 3.7270 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1957 loss: 4.1957 2022/07/26 19:37:57 - mmengine - INFO - Epoch(train) [6][1380/3757] lr: 9.9810e-03 eta: 3 days, 0:06:36 time: 0.3898 data_time: 0.0145 memory: 17007 grad_norm: 3.8105 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2069 loss: 4.2069 2022/07/26 19:38:04 - mmengine - INFO - Epoch(train) [6][1400/3757] lr: 9.9810e-03 eta: 3 days, 0:06:26 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 3.7188 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1673 loss: 4.1673 2022/07/26 19:38:12 - mmengine - INFO - Epoch(train) [6][1420/3757] lr: 9.9810e-03 eta: 3 days, 0:06:23 time: 0.4031 data_time: 0.0154 memory: 17007 grad_norm: 3.7429 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2574 loss: 4.2574 2022/07/26 19:38:20 - mmengine - INFO - Epoch(train) [6][1440/3757] lr: 9.9810e-03 eta: 3 days, 0:06:13 time: 0.3925 data_time: 0.0164 memory: 17007 grad_norm: 3.7029 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3587 loss: 4.3587 2022/07/26 19:38:28 - mmengine - INFO - Epoch(train) [6][1460/3757] lr: 9.9810e-03 eta: 3 days, 0:06:13 time: 0.4077 data_time: 0.0156 memory: 17007 grad_norm: 3.7153 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0084 loss: 4.0084 2022/07/26 19:38:36 - mmengine - INFO - Epoch(train) [6][1480/3757] lr: 9.9810e-03 eta: 3 days, 0:06:02 time: 0.3907 data_time: 0.0155 memory: 17007 grad_norm: 3.7232 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2998 loss: 4.2998 2022/07/26 19:38:44 - mmengine - INFO - Epoch(train) [6][1500/3757] lr: 9.9810e-03 eta: 3 days, 0:05:52 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 3.7408 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0578 loss: 4.0578 2022/07/26 19:38:52 - mmengine - INFO - Epoch(train) [6][1520/3757] lr: 9.9810e-03 eta: 3 days, 0:05:42 time: 0.3929 data_time: 0.0169 memory: 17007 grad_norm: 3.7841 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3574 loss: 4.3574 2022/07/26 19:39:00 - mmengine - INFO - Epoch(train) [6][1540/3757] lr: 9.9810e-03 eta: 3 days, 0:05:32 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 3.7835 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.4264 loss: 4.4264 2022/07/26 19:39:08 - mmengine - INFO - Epoch(train) [6][1560/3757] lr: 9.9810e-03 eta: 3 days, 0:05:22 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 3.6832 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1222 loss: 4.1222 2022/07/26 19:39:15 - mmengine - INFO - Epoch(train) [6][1580/3757] lr: 9.9810e-03 eta: 3 days, 0:05:09 time: 0.3885 data_time: 0.0135 memory: 17007 grad_norm: 3.6980 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.4672 loss: 4.4672 2022/07/26 19:39:23 - mmengine - INFO - Epoch(train) [6][1600/3757] lr: 9.9810e-03 eta: 3 days, 0:05:00 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 3.7037 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0889 loss: 4.0889 2022/07/26 19:39:31 - mmengine - INFO - Epoch(train) [6][1620/3757] lr: 9.9810e-03 eta: 3 days, 0:04:48 time: 0.3903 data_time: 0.0151 memory: 17007 grad_norm: 3.6482 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1515 loss: 4.1515 2022/07/26 19:39:39 - mmengine - INFO - Epoch(train) [6][1640/3757] lr: 9.9810e-03 eta: 3 days, 0:04:39 time: 0.3929 data_time: 0.0167 memory: 17007 grad_norm: 3.7837 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9397 loss: 3.9397 2022/07/26 19:39:47 - mmengine - INFO - Epoch(train) [6][1660/3757] lr: 9.9810e-03 eta: 3 days, 0:04:27 time: 0.3897 data_time: 0.0143 memory: 17007 grad_norm: 3.7278 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9770 loss: 3.9770 2022/07/26 19:39:55 - mmengine - INFO - Epoch(train) [6][1680/3757] lr: 9.9810e-03 eta: 3 days, 0:04:16 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 3.7803 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 4.0500 loss: 4.0500 2022/07/26 19:40:02 - mmengine - INFO - Epoch(train) [6][1700/3757] lr: 9.9810e-03 eta: 3 days, 0:04:06 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 3.6841 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.1744 loss: 4.1744 2022/07/26 19:40:10 - mmengine - INFO - Epoch(train) [6][1720/3757] lr: 9.9810e-03 eta: 3 days, 0:03:55 time: 0.3920 data_time: 0.0169 memory: 17007 grad_norm: 3.7482 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3364 loss: 4.3364 2022/07/26 19:40:18 - mmengine - INFO - Epoch(train) [6][1740/3757] lr: 9.9810e-03 eta: 3 days, 0:03:47 time: 0.3951 data_time: 0.0160 memory: 17007 grad_norm: 3.7356 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3905 loss: 4.3905 2022/07/26 19:40:26 - mmengine - INFO - Epoch(train) [6][1760/3757] lr: 9.9810e-03 eta: 3 days, 0:03:36 time: 0.3910 data_time: 0.0164 memory: 17007 grad_norm: 3.6691 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.4558 loss: 4.4558 2022/07/26 19:40:34 - mmengine - INFO - Epoch(train) [6][1780/3757] lr: 9.9810e-03 eta: 3 days, 0:03:26 time: 0.3916 data_time: 0.0144 memory: 17007 grad_norm: 3.6375 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.3308 loss: 4.3308 2022/07/26 19:40:42 - mmengine - INFO - Epoch(train) [6][1800/3757] lr: 9.9810e-03 eta: 3 days, 0:03:22 time: 0.4020 data_time: 0.0166 memory: 17007 grad_norm: 3.7553 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2300 loss: 4.2300 2022/07/26 19:40:50 - mmengine - INFO - Epoch(train) [6][1820/3757] lr: 9.9810e-03 eta: 3 days, 0:03:15 time: 0.3969 data_time: 0.0157 memory: 17007 grad_norm: 3.7184 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1823 loss: 4.1823 2022/07/26 19:40:58 - mmengine - INFO - Epoch(train) [6][1840/3757] lr: 9.9810e-03 eta: 3 days, 0:03:08 time: 0.3973 data_time: 0.0157 memory: 17007 grad_norm: 3.7459 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4182 loss: 4.4182 2022/07/26 19:41:06 - mmengine - INFO - Epoch(train) [6][1860/3757] lr: 9.9810e-03 eta: 3 days, 0:02:57 time: 0.3907 data_time: 0.0151 memory: 17007 grad_norm: 3.7041 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0354 loss: 4.0354 2022/07/26 19:41:13 - mmengine - INFO - Epoch(train) [6][1880/3757] lr: 9.9810e-03 eta: 3 days, 0:02:47 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 3.8046 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5200 loss: 4.5200 2022/07/26 19:41:21 - mmengine - INFO - Epoch(train) [6][1900/3757] lr: 9.9810e-03 eta: 3 days, 0:02:37 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 3.7927 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.3286 loss: 4.3286 2022/07/26 19:41:29 - mmengine - INFO - Epoch(train) [6][1920/3757] lr: 9.9810e-03 eta: 3 days, 0:02:27 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 3.8531 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9067 loss: 3.9067 2022/07/26 19:41:37 - mmengine - INFO - Epoch(train) [6][1940/3757] lr: 9.9810e-03 eta: 3 days, 0:02:16 time: 0.3900 data_time: 0.0151 memory: 17007 grad_norm: 3.6909 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1522 loss: 4.1522 2022/07/26 19:41:45 - mmengine - INFO - Epoch(train) [6][1960/3757] lr: 9.9810e-03 eta: 3 days, 0:02:05 time: 0.3908 data_time: 0.0156 memory: 17007 grad_norm: 3.6811 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1958 loss: 4.1958 2022/07/26 19:41:53 - mmengine - INFO - Epoch(train) [6][1980/3757] lr: 9.9810e-03 eta: 3 days, 0:02:02 time: 0.4030 data_time: 0.0159 memory: 17007 grad_norm: 3.7437 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0387 loss: 4.0387 2022/07/26 19:42:01 - mmengine - INFO - Epoch(train) [6][2000/3757] lr: 9.9810e-03 eta: 3 days, 0:01:52 time: 0.3936 data_time: 0.0157 memory: 17007 grad_norm: 3.8779 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.4125 loss: 4.4125 2022/07/26 19:42:09 - mmengine - INFO - Epoch(train) [6][2020/3757] lr: 9.9810e-03 eta: 3 days, 0:01:41 time: 0.3908 data_time: 0.0146 memory: 17007 grad_norm: 3.7668 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3144 loss: 4.3144 2022/07/26 19:42:16 - mmengine - INFO - Epoch(train) [6][2040/3757] lr: 9.9810e-03 eta: 3 days, 0:01:31 time: 0.3915 data_time: 0.0165 memory: 17007 grad_norm: 3.7953 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3605 loss: 4.3605 2022/07/26 19:42:24 - mmengine - INFO - Epoch(train) [6][2060/3757] lr: 9.9810e-03 eta: 3 days, 0:01:21 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 3.8471 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.2935 loss: 4.2935 2022/07/26 19:42:32 - mmengine - INFO - Epoch(train) [6][2080/3757] lr: 9.9810e-03 eta: 3 days, 0:01:13 time: 0.3950 data_time: 0.0171 memory: 17007 grad_norm: 3.7397 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1137 loss: 4.1137 2022/07/26 19:42:40 - mmengine - INFO - Epoch(train) [6][2100/3757] lr: 9.9810e-03 eta: 3 days, 0:01:04 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 3.7542 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.1396 loss: 4.1396 2022/07/26 19:42:48 - mmengine - INFO - Epoch(train) [6][2120/3757] lr: 9.9810e-03 eta: 3 days, 0:00:54 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 3.7990 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2501 loss: 4.2501 2022/07/26 19:42:56 - mmengine - INFO - Epoch(train) [6][2140/3757] lr: 9.9810e-03 eta: 3 days, 0:00:44 time: 0.3916 data_time: 0.0146 memory: 17007 grad_norm: 3.7311 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3273 loss: 4.3273 2022/07/26 19:43:04 - mmengine - INFO - Epoch(train) [6][2160/3757] lr: 9.9810e-03 eta: 3 days, 0:00:36 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 3.7667 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9893 loss: 3.9893 2022/07/26 19:43:11 - mmengine - INFO - Epoch(train) [6][2180/3757] lr: 9.9810e-03 eta: 3 days, 0:00:25 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 3.8728 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2059 loss: 4.2059 2022/07/26 19:43:19 - mmengine - INFO - Epoch(train) [6][2200/3757] lr: 9.9810e-03 eta: 3 days, 0:00:16 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 3.6984 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2747 loss: 4.2747 2022/07/26 19:43:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:43:27 - mmengine - INFO - Epoch(train) [6][2220/3757] lr: 9.9810e-03 eta: 3 days, 0:00:04 time: 0.3896 data_time: 0.0138 memory: 17007 grad_norm: 3.7852 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.1025 loss: 4.1025 2022/07/26 19:43:35 - mmengine - INFO - Epoch(train) [6][2240/3757] lr: 9.9810e-03 eta: 2 days, 23:59:54 time: 0.3919 data_time: 0.0163 memory: 17007 grad_norm: 3.8587 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 4.0605 loss: 4.0605 2022/07/26 19:43:43 - mmengine - INFO - Epoch(train) [6][2260/3757] lr: 9.9810e-03 eta: 2 days, 23:59:45 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 3.8272 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0603 loss: 4.0603 2022/07/26 19:43:51 - mmengine - INFO - Epoch(train) [6][2280/3757] lr: 9.9810e-03 eta: 2 days, 23:59:36 time: 0.3930 data_time: 0.0166 memory: 17007 grad_norm: 3.8027 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.3180 loss: 4.3180 2022/07/26 19:43:59 - mmengine - INFO - Epoch(train) [6][2300/3757] lr: 9.9810e-03 eta: 2 days, 23:59:31 time: 0.4000 data_time: 0.0152 memory: 17007 grad_norm: 3.7584 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1355 loss: 4.1355 2022/07/26 19:44:06 - mmengine - INFO - Epoch(train) [6][2320/3757] lr: 9.9810e-03 eta: 2 days, 23:59:20 time: 0.3910 data_time: 0.0155 memory: 17007 grad_norm: 3.8210 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.2011 loss: 4.2011 2022/07/26 19:44:14 - mmengine - INFO - Epoch(train) [6][2340/3757] lr: 9.9810e-03 eta: 2 days, 23:59:09 time: 0.3910 data_time: 0.0158 memory: 17007 grad_norm: 3.8001 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.9691 loss: 3.9691 2022/07/26 19:44:22 - mmengine - INFO - Epoch(train) [6][2360/3757] lr: 9.9810e-03 eta: 2 days, 23:58:59 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 3.7409 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2722 loss: 4.2722 2022/07/26 19:44:30 - mmengine - INFO - Epoch(train) [6][2380/3757] lr: 9.9810e-03 eta: 2 days, 23:58:49 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 3.6818 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1987 loss: 4.1987 2022/07/26 19:44:38 - mmengine - INFO - Epoch(train) [6][2400/3757] lr: 9.9810e-03 eta: 2 days, 23:58:39 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 3.6429 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2658 loss: 4.2658 2022/07/26 19:44:46 - mmengine - INFO - Epoch(train) [6][2420/3757] lr: 9.9810e-03 eta: 2 days, 23:58:27 time: 0.3900 data_time: 0.0150 memory: 17007 grad_norm: 3.6956 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3879 loss: 4.3879 2022/07/26 19:44:53 - mmengine - INFO - Epoch(train) [6][2440/3757] lr: 9.9810e-03 eta: 2 days, 23:58:18 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 3.8437 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2686 loss: 4.2686 2022/07/26 19:45:01 - mmengine - INFO - Epoch(train) [6][2460/3757] lr: 9.9810e-03 eta: 2 days, 23:58:10 time: 0.3954 data_time: 0.0145 memory: 17007 grad_norm: 3.6718 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.3658 loss: 4.3658 2022/07/26 19:45:09 - mmengine - INFO - Epoch(train) [6][2480/3757] lr: 9.9810e-03 eta: 2 days, 23:58:00 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 3.7521 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1588 loss: 4.1588 2022/07/26 19:45:17 - mmengine - INFO - Epoch(train) [6][2500/3757] lr: 9.9810e-03 eta: 2 days, 23:57:49 time: 0.3896 data_time: 0.0143 memory: 17007 grad_norm: 3.8568 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.3197 loss: 4.3197 2022/07/26 19:45:25 - mmengine - INFO - Epoch(train) [6][2520/3757] lr: 9.9810e-03 eta: 2 days, 23:57:41 time: 0.3965 data_time: 0.0153 memory: 17007 grad_norm: 3.7391 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9329 loss: 3.9329 2022/07/26 19:45:33 - mmengine - INFO - Epoch(train) [6][2540/3757] lr: 9.9810e-03 eta: 2 days, 23:57:32 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 3.7836 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0859 loss: 4.0859 2022/07/26 19:45:41 - mmengine - INFO - Epoch(train) [6][2560/3757] lr: 9.9810e-03 eta: 2 days, 23:57:23 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 3.8664 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.2865 loss: 4.2865 2022/07/26 19:45:49 - mmengine - INFO - Epoch(train) [6][2580/3757] lr: 9.9810e-03 eta: 2 days, 23:57:13 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 3.8834 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.0850 loss: 4.0850 2022/07/26 19:45:56 - mmengine - INFO - Epoch(train) [6][2600/3757] lr: 9.9810e-03 eta: 2 days, 23:57:03 time: 0.3917 data_time: 0.0164 memory: 17007 grad_norm: 3.7797 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3935 loss: 4.3935 2022/07/26 19:46:04 - mmengine - INFO - Epoch(train) [6][2620/3757] lr: 9.9810e-03 eta: 2 days, 23:56:52 time: 0.3906 data_time: 0.0151 memory: 17007 grad_norm: 3.7517 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1929 loss: 4.1929 2022/07/26 19:46:12 - mmengine - INFO - Epoch(train) [6][2640/3757] lr: 9.9810e-03 eta: 2 days, 23:56:42 time: 0.3917 data_time: 0.0161 memory: 17007 grad_norm: 3.8538 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1231 loss: 4.1231 2022/07/26 19:46:20 - mmengine - INFO - Epoch(train) [6][2660/3757] lr: 9.9810e-03 eta: 2 days, 23:56:32 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 3.7673 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1907 loss: 4.1907 2022/07/26 19:46:28 - mmengine - INFO - Epoch(train) [6][2680/3757] lr: 9.9810e-03 eta: 2 days, 23:56:22 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 3.8046 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.3017 loss: 4.3017 2022/07/26 19:46:36 - mmengine - INFO - Epoch(train) [6][2700/3757] lr: 9.9810e-03 eta: 2 days, 23:56:11 time: 0.3902 data_time: 0.0135 memory: 17007 grad_norm: 3.8000 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3076 loss: 4.3076 2022/07/26 19:46:43 - mmengine - INFO - Epoch(train) [6][2720/3757] lr: 9.9810e-03 eta: 2 days, 23:56:00 time: 0.3912 data_time: 0.0149 memory: 17007 grad_norm: 3.7071 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2727 loss: 4.2727 2022/07/26 19:46:51 - mmengine - INFO - Epoch(train) [6][2740/3757] lr: 9.9810e-03 eta: 2 days, 23:55:49 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 3.7714 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0713 loss: 4.0713 2022/07/26 19:46:59 - mmengine - INFO - Epoch(train) [6][2760/3757] lr: 9.9810e-03 eta: 2 days, 23:55:42 time: 0.3963 data_time: 0.0160 memory: 17007 grad_norm: 3.8160 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.3371 loss: 4.3371 2022/07/26 19:47:07 - mmengine - INFO - Epoch(train) [6][2780/3757] lr: 9.9810e-03 eta: 2 days, 23:55:31 time: 0.3906 data_time: 0.0150 memory: 17007 grad_norm: 3.7022 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1671 loss: 4.1671 2022/07/26 19:47:15 - mmengine - INFO - Epoch(train) [6][2800/3757] lr: 9.9810e-03 eta: 2 days, 23:55:21 time: 0.3916 data_time: 0.0169 memory: 17007 grad_norm: 3.7945 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2581 loss: 4.2581 2022/07/26 19:47:23 - mmengine - INFO - Epoch(train) [6][2820/3757] lr: 9.9810e-03 eta: 2 days, 23:55:17 time: 0.4027 data_time: 0.0145 memory: 17007 grad_norm: 3.8391 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4523 loss: 4.4523 2022/07/26 19:47:31 - mmengine - INFO - Epoch(train) [6][2840/3757] lr: 9.9810e-03 eta: 2 days, 23:55:08 time: 0.3930 data_time: 0.0173 memory: 17007 grad_norm: 3.8389 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3491 loss: 4.3491 2022/07/26 19:47:39 - mmengine - INFO - Epoch(train) [6][2860/3757] lr: 9.9810e-03 eta: 2 days, 23:55:08 time: 0.4088 data_time: 0.0148 memory: 17007 grad_norm: 3.7611 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8942 loss: 3.8942 2022/07/26 19:47:47 - mmengine - INFO - Epoch(train) [6][2880/3757] lr: 9.9810e-03 eta: 2 days, 23:54:57 time: 0.3903 data_time: 0.0152 memory: 17007 grad_norm: 3.8060 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1782 loss: 4.1782 2022/07/26 19:47:54 - mmengine - INFO - Epoch(train) [6][2900/3757] lr: 9.9810e-03 eta: 2 days, 23:54:47 time: 0.3919 data_time: 0.0162 memory: 17007 grad_norm: 3.8000 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2917 loss: 4.2917 2022/07/26 19:48:02 - mmengine - INFO - Epoch(train) [6][2920/3757] lr: 9.9810e-03 eta: 2 days, 23:54:36 time: 0.3910 data_time: 0.0152 memory: 17007 grad_norm: 3.8300 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.9950 loss: 3.9950 2022/07/26 19:48:10 - mmengine - INFO - Epoch(train) [6][2940/3757] lr: 9.9810e-03 eta: 2 days, 23:54:26 time: 0.3922 data_time: 0.0168 memory: 17007 grad_norm: 3.7544 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1288 loss: 4.1288 2022/07/26 19:48:18 - mmengine - INFO - Epoch(train) [6][2960/3757] lr: 9.9810e-03 eta: 2 days, 23:54:19 time: 0.3963 data_time: 0.0167 memory: 17007 grad_norm: 3.7954 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.1714 loss: 4.1714 2022/07/26 19:48:26 - mmengine - INFO - Epoch(train) [6][2980/3757] lr: 9.9810e-03 eta: 2 days, 23:54:13 time: 0.3992 data_time: 0.0143 memory: 17007 grad_norm: 3.8925 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2180 loss: 4.2180 2022/07/26 19:48:34 - mmengine - INFO - Epoch(train) [6][3000/3757] lr: 9.9810e-03 eta: 2 days, 23:54:03 time: 0.3917 data_time: 0.0168 memory: 17007 grad_norm: 3.8938 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.4661 loss: 4.4661 2022/07/26 19:48:42 - mmengine - INFO - Epoch(train) [6][3020/3757] lr: 9.9810e-03 eta: 2 days, 23:53:57 time: 0.3984 data_time: 0.0135 memory: 17007 grad_norm: 3.8853 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1484 loss: 4.1484 2022/07/26 19:48:50 - mmengine - INFO - Epoch(train) [6][3040/3757] lr: 9.9810e-03 eta: 2 days, 23:53:47 time: 0.3913 data_time: 0.0171 memory: 17007 grad_norm: 3.7744 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 4.1299 loss: 4.1299 2022/07/26 19:48:58 - mmengine - INFO - Epoch(train) [6][3060/3757] lr: 9.9810e-03 eta: 2 days, 23:53:36 time: 0.3906 data_time: 0.0150 memory: 17007 grad_norm: 3.7637 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2151 loss: 4.2151 2022/07/26 19:49:05 - mmengine - INFO - Epoch(train) [6][3080/3757] lr: 9.9810e-03 eta: 2 days, 23:53:26 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 3.8407 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1550 loss: 4.1550 2022/07/26 19:49:13 - mmengine - INFO - Epoch(train) [6][3100/3757] lr: 9.9810e-03 eta: 2 days, 23:53:16 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 3.7489 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.3379 loss: 4.3379 2022/07/26 19:49:21 - mmengine - INFO - Epoch(train) [6][3120/3757] lr: 9.9810e-03 eta: 2 days, 23:53:06 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 3.7625 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1466 loss: 4.1466 2022/07/26 19:49:29 - mmengine - INFO - Epoch(train) [6][3140/3757] lr: 9.9810e-03 eta: 2 days, 23:52:57 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 3.7635 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9279 loss: 3.9279 2022/07/26 19:49:37 - mmengine - INFO - Epoch(train) [6][3160/3757] lr: 9.9810e-03 eta: 2 days, 23:52:47 time: 0.3914 data_time: 0.0163 memory: 17007 grad_norm: 3.8405 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.2354 loss: 4.2354 2022/07/26 19:49:45 - mmengine - INFO - Epoch(train) [6][3180/3757] lr: 9.9810e-03 eta: 2 days, 23:52:36 time: 0.3911 data_time: 0.0148 memory: 17007 grad_norm: 3.7621 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2197 loss: 4.2197 2022/07/26 19:49:52 - mmengine - INFO - Epoch(train) [6][3200/3757] lr: 9.9810e-03 eta: 2 days, 23:52:26 time: 0.3926 data_time: 0.0161 memory: 17007 grad_norm: 3.7907 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9147 loss: 3.9147 2022/07/26 19:49:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:50:00 - mmengine - INFO - Epoch(train) [6][3220/3757] lr: 9.9810e-03 eta: 2 days, 23:52:18 time: 0.3937 data_time: 0.0146 memory: 17007 grad_norm: 3.8114 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0888 loss: 4.0888 2022/07/26 19:50:08 - mmengine - INFO - Epoch(train) [6][3240/3757] lr: 9.9810e-03 eta: 2 days, 23:52:07 time: 0.3915 data_time: 0.0161 memory: 17007 grad_norm: 3.9242 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2590 loss: 4.2590 2022/07/26 19:50:16 - mmengine - INFO - Epoch(train) [6][3260/3757] lr: 9.9810e-03 eta: 2 days, 23:51:57 time: 0.3908 data_time: 0.0137 memory: 17007 grad_norm: 3.8308 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.4360 loss: 4.4360 2022/07/26 19:50:24 - mmengine - INFO - Epoch(train) [6][3280/3757] lr: 9.9810e-03 eta: 2 days, 23:51:48 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 3.6598 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0752 loss: 4.0752 2022/07/26 19:50:32 - mmengine - INFO - Epoch(train) [6][3300/3757] lr: 9.9810e-03 eta: 2 days, 23:51:38 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 3.7855 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1210 loss: 4.1210 2022/07/26 19:50:40 - mmengine - INFO - Epoch(train) [6][3320/3757] lr: 9.9810e-03 eta: 2 days, 23:51:29 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 3.8747 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2168 loss: 4.2168 2022/07/26 19:50:47 - mmengine - INFO - Epoch(train) [6][3340/3757] lr: 9.9810e-03 eta: 2 days, 23:51:18 time: 0.3906 data_time: 0.0151 memory: 17007 grad_norm: 3.7474 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4518 loss: 4.4518 2022/07/26 19:50:55 - mmengine - INFO - Epoch(train) [6][3360/3757] lr: 9.9810e-03 eta: 2 days, 23:51:10 time: 0.3964 data_time: 0.0166 memory: 17007 grad_norm: 3.7118 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9768 loss: 3.9768 2022/07/26 19:51:03 - mmengine - INFO - Epoch(train) [6][3380/3757] lr: 9.9810e-03 eta: 2 days, 23:51:00 time: 0.3917 data_time: 0.0150 memory: 17007 grad_norm: 3.8150 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1671 loss: 4.1671 2022/07/26 19:51:11 - mmengine - INFO - Epoch(train) [6][3400/3757] lr: 9.9810e-03 eta: 2 days, 23:50:56 time: 0.4022 data_time: 0.0159 memory: 17007 grad_norm: 3.8260 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2702 loss: 4.2702 2022/07/26 19:51:19 - mmengine - INFO - Epoch(train) [6][3420/3757] lr: 9.9810e-03 eta: 2 days, 23:50:46 time: 0.3909 data_time: 0.0140 memory: 17007 grad_norm: 3.8008 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.1953 loss: 4.1953 2022/07/26 19:51:27 - mmengine - INFO - Epoch(train) [6][3440/3757] lr: 9.9810e-03 eta: 2 days, 23:50:35 time: 0.3909 data_time: 0.0153 memory: 17007 grad_norm: 3.8691 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2296 loss: 4.2296 2022/07/26 19:51:35 - mmengine - INFO - Epoch(train) [6][3460/3757] lr: 9.9810e-03 eta: 2 days, 23:50:25 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 3.8135 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.1316 loss: 4.1316 2022/07/26 19:51:42 - mmengine - INFO - Epoch(train) [6][3480/3757] lr: 9.9810e-03 eta: 2 days, 23:50:15 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 3.8026 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1481 loss: 4.1481 2022/07/26 19:51:51 - mmengine - INFO - Epoch(train) [6][3500/3757] lr: 9.9810e-03 eta: 2 days, 23:50:14 time: 0.4079 data_time: 0.0162 memory: 17007 grad_norm: 3.9299 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0888 loss: 4.0888 2022/07/26 19:51:58 - mmengine - INFO - Epoch(train) [6][3520/3757] lr: 9.9810e-03 eta: 2 days, 23:50:05 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 3.7847 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2208 loss: 4.2208 2022/07/26 19:52:06 - mmengine - INFO - Epoch(train) [6][3540/3757] lr: 9.9810e-03 eta: 2 days, 23:49:54 time: 0.3904 data_time: 0.0147 memory: 17007 grad_norm: 3.9866 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9062 loss: 3.9062 2022/07/26 19:52:14 - mmengine - INFO - Epoch(train) [6][3560/3757] lr: 9.9810e-03 eta: 2 days, 23:49:49 time: 0.4004 data_time: 0.0171 memory: 17007 grad_norm: 3.7861 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1306 loss: 4.1306 2022/07/26 19:52:22 - mmengine - INFO - Epoch(train) [6][3580/3757] lr: 9.9810e-03 eta: 2 days, 23:49:38 time: 0.3909 data_time: 0.0147 memory: 17007 grad_norm: 3.6804 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0534 loss: 4.0534 2022/07/26 19:52:30 - mmengine - INFO - Epoch(train) [6][3600/3757] lr: 9.9810e-03 eta: 2 days, 23:49:29 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 3.8476 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0207 loss: 4.0207 2022/07/26 19:52:38 - mmengine - INFO - Epoch(train) [6][3620/3757] lr: 9.9810e-03 eta: 2 days, 23:49:18 time: 0.3904 data_time: 0.0153 memory: 17007 grad_norm: 3.9066 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.3183 loss: 4.3183 2022/07/26 19:52:46 - mmengine - INFO - Epoch(train) [6][3640/3757] lr: 9.9810e-03 eta: 2 days, 23:49:08 time: 0.3917 data_time: 0.0150 memory: 17007 grad_norm: 3.7072 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0646 loss: 4.0646 2022/07/26 19:52:53 - mmengine - INFO - Epoch(train) [6][3660/3757] lr: 9.9810e-03 eta: 2 days, 23:48:58 time: 0.3921 data_time: 0.0164 memory: 17007 grad_norm: 3.7014 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1376 loss: 4.1376 2022/07/26 19:53:01 - mmengine - INFO - Epoch(train) [6][3680/3757] lr: 9.9810e-03 eta: 2 days, 23:48:47 time: 0.3904 data_time: 0.0154 memory: 17007 grad_norm: 3.7716 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3624 loss: 4.3624 2022/07/26 19:53:09 - mmengine - INFO - Epoch(train) [6][3700/3757] lr: 9.9810e-03 eta: 2 days, 23:48:37 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 3.7732 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2051 loss: 4.2051 2022/07/26 19:53:17 - mmengine - INFO - Epoch(train) [6][3720/3757] lr: 9.9810e-03 eta: 2 days, 23:48:27 time: 0.3906 data_time: 0.0159 memory: 17007 grad_norm: 3.8152 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1516 loss: 4.1516 2022/07/26 19:53:25 - mmengine - INFO - Epoch(train) [6][3740/3757] lr: 9.9810e-03 eta: 2 days, 23:48:17 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 3.8312 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.1584 loss: 4.1584 2022/07/26 19:53:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:53:32 - mmengine - INFO - Epoch(train) [6][3757/3757] lr: 9.9810e-03 eta: 2 days, 23:48:17 time: 0.4048 data_time: 0.0176 memory: 17007 grad_norm: 3.8300 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 4.0274 loss: 4.0274 2022/07/26 19:53:32 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/07/26 19:53:43 - mmengine - INFO - Epoch(train) [7][20/3757] lr: 9.9726e-03 eta: 2 days, 23:45:19 time: 0.4502 data_time: 0.0722 memory: 17007 grad_norm: 3.7101 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.0700 loss: 4.0700 2022/07/26 19:53:51 - mmengine - INFO - Epoch(train) [7][40/3757] lr: 9.9726e-03 eta: 2 days, 23:45:18 time: 0.4059 data_time: 0.0163 memory: 17007 grad_norm: 3.7489 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1878 loss: 4.1878 2022/07/26 19:53:58 - mmengine - INFO - Epoch(train) [7][60/3757] lr: 9.9726e-03 eta: 2 days, 23:45:07 time: 0.3897 data_time: 0.0150 memory: 17007 grad_norm: 3.7139 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1097 loss: 4.1097 2022/07/26 19:54:06 - mmengine - INFO - Epoch(train) [7][80/3757] lr: 9.9726e-03 eta: 2 days, 23:44:55 time: 0.3893 data_time: 0.0153 memory: 17007 grad_norm: 3.8045 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1883 loss: 4.1883 2022/07/26 19:54:14 - mmengine - INFO - Epoch(train) [7][100/3757] lr: 9.9726e-03 eta: 2 days, 23:44:45 time: 0.3911 data_time: 0.0161 memory: 17007 grad_norm: 3.7774 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0993 loss: 4.0993 2022/07/26 19:54:22 - mmengine - INFO - Epoch(train) [7][120/3757] lr: 9.9726e-03 eta: 2 days, 23:44:34 time: 0.3903 data_time: 0.0154 memory: 17007 grad_norm: 3.8362 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.2608 loss: 4.2608 2022/07/26 19:54:30 - mmengine - INFO - Epoch(train) [7][140/3757] lr: 9.9726e-03 eta: 2 days, 23:44:27 time: 0.3958 data_time: 0.0156 memory: 17007 grad_norm: 3.8750 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1444 loss: 4.1444 2022/07/26 19:54:38 - mmengine - INFO - Epoch(train) [7][160/3757] lr: 9.9726e-03 eta: 2 days, 23:44:16 time: 0.3906 data_time: 0.0150 memory: 17007 grad_norm: 3.8512 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.2302 loss: 4.2302 2022/07/26 19:54:45 - mmengine - INFO - Epoch(train) [7][180/3757] lr: 9.9726e-03 eta: 2 days, 23:44:05 time: 0.3895 data_time: 0.0139 memory: 17007 grad_norm: 3.8148 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2347 loss: 4.2347 2022/07/26 19:54:54 - mmengine - INFO - Epoch(train) [7][200/3757] lr: 9.9726e-03 eta: 2 days, 23:44:03 time: 0.4045 data_time: 0.0164 memory: 17007 grad_norm: 3.8287 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0678 loss: 4.0678 2022/07/26 19:55:01 - mmengine - INFO - Epoch(train) [7][220/3757] lr: 9.9726e-03 eta: 2 days, 23:43:51 time: 0.3894 data_time: 0.0156 memory: 17007 grad_norm: 3.7711 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9702 loss: 3.9702 2022/07/26 19:55:10 - mmengine - INFO - Epoch(train) [7][240/3757] lr: 9.9726e-03 eta: 2 days, 23:43:56 time: 0.4174 data_time: 0.0181 memory: 17007 grad_norm: 3.9451 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2109 loss: 4.2109 2022/07/26 19:55:17 - mmengine - INFO - Epoch(train) [7][260/3757] lr: 9.9726e-03 eta: 2 days, 23:43:46 time: 0.3907 data_time: 0.0153 memory: 17007 grad_norm: 3.8860 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2648 loss: 4.2648 2022/07/26 19:55:25 - mmengine - INFO - Epoch(train) [7][280/3757] lr: 9.9726e-03 eta: 2 days, 23:43:36 time: 0.3916 data_time: 0.0149 memory: 17007 grad_norm: 3.7501 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1452 loss: 4.1452 2022/07/26 19:55:33 - mmengine - INFO - Epoch(train) [7][300/3757] lr: 9.9726e-03 eta: 2 days, 23:43:30 time: 0.3990 data_time: 0.0160 memory: 17007 grad_norm: 3.8340 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2229 loss: 4.2229 2022/07/26 19:55:41 - mmengine - INFO - Epoch(train) [7][320/3757] lr: 9.9726e-03 eta: 2 days, 23:43:20 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 3.7900 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0324 loss: 4.0324 2022/07/26 19:55:49 - mmengine - INFO - Epoch(train) [7][340/3757] lr: 9.9726e-03 eta: 2 days, 23:43:09 time: 0.3902 data_time: 0.0152 memory: 17007 grad_norm: 3.8224 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0859 loss: 4.0859 2022/07/26 19:55:57 - mmengine - INFO - Epoch(train) [7][360/3757] lr: 9.9726e-03 eta: 2 days, 23:42:59 time: 0.3918 data_time: 0.0159 memory: 17007 grad_norm: 3.7600 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2671 loss: 4.2671 2022/07/26 19:56:05 - mmengine - INFO - Epoch(train) [7][380/3757] lr: 9.9726e-03 eta: 2 days, 23:42:49 time: 0.3908 data_time: 0.0148 memory: 17007 grad_norm: 3.8020 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1668 loss: 4.1668 2022/07/26 19:56:12 - mmengine - INFO - Epoch(train) [7][400/3757] lr: 9.9726e-03 eta: 2 days, 23:42:42 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 3.7642 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1797 loss: 4.1797 2022/07/26 19:56:20 - mmengine - INFO - Epoch(train) [7][420/3757] lr: 9.9726e-03 eta: 2 days, 23:42:31 time: 0.3903 data_time: 0.0156 memory: 17007 grad_norm: 3.8664 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3580 loss: 4.3580 2022/07/26 19:56:28 - mmengine - INFO - Epoch(train) [7][440/3757] lr: 9.9726e-03 eta: 2 days, 23:42:21 time: 0.3907 data_time: 0.0160 memory: 17007 grad_norm: 3.8230 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0967 loss: 4.0967 2022/07/26 19:56:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 19:56:36 - mmengine - INFO - Epoch(train) [7][460/3757] lr: 9.9726e-03 eta: 2 days, 23:42:20 time: 0.4075 data_time: 0.0161 memory: 17007 grad_norm: 3.7600 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2404 loss: 4.2404 2022/07/26 19:56:44 - mmengine - INFO - Epoch(train) [7][480/3757] lr: 9.9726e-03 eta: 2 days, 23:42:10 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 3.7545 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.3424 loss: 4.3424 2022/07/26 19:56:52 - mmengine - INFO - Epoch(train) [7][500/3757] lr: 9.9726e-03 eta: 2 days, 23:42:09 time: 0.4078 data_time: 0.0156 memory: 17007 grad_norm: 3.7683 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.3398 loss: 4.3398 2022/07/26 19:57:00 - mmengine - INFO - Epoch(train) [7][520/3757] lr: 9.9726e-03 eta: 2 days, 23:41:59 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 3.7427 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9768 loss: 3.9768 2022/07/26 19:57:08 - mmengine - INFO - Epoch(train) [7][540/3757] lr: 9.9726e-03 eta: 2 days, 23:41:47 time: 0.3887 data_time: 0.0135 memory: 17007 grad_norm: 3.8662 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1829 loss: 4.1829 2022/07/26 19:57:16 - mmengine - INFO - Epoch(train) [7][560/3757] lr: 9.9726e-03 eta: 2 days, 23:41:37 time: 0.3920 data_time: 0.0166 memory: 17007 grad_norm: 3.8432 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.1216 loss: 4.1216 2022/07/26 19:57:24 - mmengine - INFO - Epoch(train) [7][580/3757] lr: 9.9726e-03 eta: 2 days, 23:41:31 time: 0.3977 data_time: 0.0152 memory: 17007 grad_norm: 3.8605 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1428 loss: 4.1428 2022/07/26 19:57:31 - mmengine - INFO - Epoch(train) [7][600/3757] lr: 9.9726e-03 eta: 2 days, 23:41:21 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 3.9149 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.3086 loss: 4.3086 2022/07/26 19:57:39 - mmengine - INFO - Epoch(train) [7][620/3757] lr: 9.9726e-03 eta: 2 days, 23:41:15 time: 0.3985 data_time: 0.0148 memory: 17007 grad_norm: 3.8733 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.1828 loss: 4.1828 2022/07/26 19:57:47 - mmengine - INFO - Epoch(train) [7][640/3757] lr: 9.9726e-03 eta: 2 days, 23:41:04 time: 0.3894 data_time: 0.0153 memory: 17007 grad_norm: 3.8599 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2042 loss: 4.2042 2022/07/26 19:57:55 - mmengine - INFO - Epoch(train) [7][660/3757] lr: 9.9726e-03 eta: 2 days, 23:40:56 time: 0.3943 data_time: 0.0165 memory: 17007 grad_norm: 3.7154 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1004 loss: 4.1004 2022/07/26 19:58:03 - mmengine - INFO - Epoch(train) [7][680/3757] lr: 9.9726e-03 eta: 2 days, 23:40:45 time: 0.3910 data_time: 0.0153 memory: 17007 grad_norm: 3.8552 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8161 loss: 3.8161 2022/07/26 19:58:11 - mmengine - INFO - Epoch(train) [7][700/3757] lr: 9.9726e-03 eta: 2 days, 23:40:42 time: 0.4026 data_time: 0.0163 memory: 17007 grad_norm: 4.0104 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9463 loss: 3.9463 2022/07/26 19:58:19 - mmengine - INFO - Epoch(train) [7][720/3757] lr: 9.9726e-03 eta: 2 days, 23:40:31 time: 0.3908 data_time: 0.0159 memory: 17007 grad_norm: 4.0121 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9858 loss: 3.9858 2022/07/26 19:58:27 - mmengine - INFO - Epoch(train) [7][740/3757] lr: 9.9726e-03 eta: 2 days, 23:40:21 time: 0.3900 data_time: 0.0145 memory: 17007 grad_norm: 3.8186 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9755 loss: 3.9755 2022/07/26 19:58:34 - mmengine - INFO - Epoch(train) [7][760/3757] lr: 9.9726e-03 eta: 2 days, 23:40:11 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 3.8786 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1540 loss: 4.1540 2022/07/26 19:58:42 - mmengine - INFO - Epoch(train) [7][780/3757] lr: 9.9726e-03 eta: 2 days, 23:40:00 time: 0.3902 data_time: 0.0150 memory: 17007 grad_norm: 3.8303 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0163 loss: 4.0163 2022/07/26 19:58:50 - mmengine - INFO - Epoch(train) [7][800/3757] lr: 9.9726e-03 eta: 2 days, 23:39:51 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 3.8098 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1320 loss: 4.1320 2022/07/26 19:58:58 - mmengine - INFO - Epoch(train) [7][820/3757] lr: 9.9726e-03 eta: 2 days, 23:39:41 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 3.7388 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.2319 loss: 4.2319 2022/07/26 19:59:06 - mmengine - INFO - Epoch(train) [7][840/3757] lr: 9.9726e-03 eta: 2 days, 23:39:32 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 3.8570 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1721 loss: 4.1721 2022/07/26 19:59:14 - mmengine - INFO - Epoch(train) [7][860/3757] lr: 9.9726e-03 eta: 2 days, 23:39:24 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 3.9177 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0846 loss: 4.0846 2022/07/26 19:59:22 - mmengine - INFO - Epoch(train) [7][880/3757] lr: 9.9726e-03 eta: 2 days, 23:39:14 time: 0.3910 data_time: 0.0158 memory: 17007 grad_norm: 3.8456 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1133 loss: 4.1133 2022/07/26 19:59:30 - mmengine - INFO - Epoch(train) [7][900/3757] lr: 9.9726e-03 eta: 2 days, 23:39:08 time: 0.3989 data_time: 0.0154 memory: 17007 grad_norm: 3.7610 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1080 loss: 4.1080 2022/07/26 19:59:37 - mmengine - INFO - Epoch(train) [7][920/3757] lr: 9.9726e-03 eta: 2 days, 23:38:58 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 3.8450 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.4037 loss: 4.4037 2022/07/26 19:59:45 - mmengine - INFO - Epoch(train) [7][940/3757] lr: 9.9726e-03 eta: 2 days, 23:38:48 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 3.8405 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0257 loss: 4.0257 2022/07/26 19:59:53 - mmengine - INFO - Epoch(train) [7][960/3757] lr: 9.9726e-03 eta: 2 days, 23:38:39 time: 0.3931 data_time: 0.0168 memory: 17007 grad_norm: 3.7576 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2935 loss: 4.2935 2022/07/26 20:00:01 - mmengine - INFO - Epoch(train) [7][980/3757] lr: 9.9726e-03 eta: 2 days, 23:38:30 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 3.8883 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1960 loss: 4.1960 2022/07/26 20:00:09 - mmengine - INFO - Epoch(train) [7][1000/3757] lr: 9.9726e-03 eta: 2 days, 23:38:20 time: 0.3909 data_time: 0.0150 memory: 17007 grad_norm: 3.8160 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1867 loss: 4.1867 2022/07/26 20:00:17 - mmengine - INFO - Epoch(train) [7][1020/3757] lr: 9.9726e-03 eta: 2 days, 23:38:10 time: 0.3925 data_time: 0.0166 memory: 17007 grad_norm: 3.8305 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2265 loss: 4.2265 2022/07/26 20:00:24 - mmengine - INFO - Epoch(train) [7][1040/3757] lr: 9.9726e-03 eta: 2 days, 23:38:00 time: 0.3909 data_time: 0.0155 memory: 17007 grad_norm: 3.9263 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0647 loss: 4.0647 2022/07/26 20:00:32 - mmengine - INFO - Epoch(train) [7][1060/3757] lr: 9.9726e-03 eta: 2 days, 23:37:51 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 3.9565 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.0668 loss: 4.0668 2022/07/26 20:00:40 - mmengine - INFO - Epoch(train) [7][1080/3757] lr: 9.9726e-03 eta: 2 days, 23:37:42 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 3.8386 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.5900 loss: 4.5900 2022/07/26 20:00:48 - mmengine - INFO - Epoch(train) [7][1100/3757] lr: 9.9726e-03 eta: 2 days, 23:37:32 time: 0.3910 data_time: 0.0148 memory: 17007 grad_norm: 3.8171 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1486 loss: 4.1486 2022/07/26 20:00:56 - mmengine - INFO - Epoch(train) [7][1120/3757] lr: 9.9726e-03 eta: 2 days, 23:37:25 time: 0.3977 data_time: 0.0157 memory: 17007 grad_norm: 3.9347 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.2167 loss: 4.2167 2022/07/26 20:01:04 - mmengine - INFO - Epoch(train) [7][1140/3757] lr: 9.9726e-03 eta: 2 days, 23:37:15 time: 0.3914 data_time: 0.0164 memory: 17007 grad_norm: 3.9090 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0721 loss: 4.0721 2022/07/26 20:01:12 - mmengine - INFO - Epoch(train) [7][1160/3757] lr: 9.9726e-03 eta: 2 days, 23:37:06 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 3.8605 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1010 loss: 4.1010 2022/07/26 20:01:19 - mmengine - INFO - Epoch(train) [7][1180/3757] lr: 9.9726e-03 eta: 2 days, 23:36:56 time: 0.3908 data_time: 0.0147 memory: 17007 grad_norm: 3.9380 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8361 loss: 3.8361 2022/07/26 20:01:27 - mmengine - INFO - Epoch(train) [7][1200/3757] lr: 9.9726e-03 eta: 2 days, 23:36:46 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 3.8868 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1307 loss: 4.1307 2022/07/26 20:01:35 - mmengine - INFO - Epoch(train) [7][1220/3757] lr: 9.9726e-03 eta: 2 days, 23:36:45 time: 0.4069 data_time: 0.0157 memory: 17007 grad_norm: 3.9675 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2272 loss: 4.2272 2022/07/26 20:01:43 - mmengine - INFO - Epoch(train) [7][1240/3757] lr: 9.9726e-03 eta: 2 days, 23:36:34 time: 0.3903 data_time: 0.0150 memory: 17007 grad_norm: 3.8359 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8850 loss: 3.8850 2022/07/26 20:01:51 - mmengine - INFO - Epoch(train) [7][1260/3757] lr: 9.9726e-03 eta: 2 days, 23:36:37 time: 0.4143 data_time: 0.0144 memory: 17007 grad_norm: 3.8898 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0315 loss: 4.0315 2022/07/26 20:01:59 - mmengine - INFO - Epoch(train) [7][1280/3757] lr: 9.9726e-03 eta: 2 days, 23:36:27 time: 0.3923 data_time: 0.0166 memory: 17007 grad_norm: 3.9084 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9957 loss: 3.9957 2022/07/26 20:02:07 - mmengine - INFO - Epoch(train) [7][1300/3757] lr: 9.9726e-03 eta: 2 days, 23:36:18 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 3.9362 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9887 loss: 3.9887 2022/07/26 20:02:15 - mmengine - INFO - Epoch(train) [7][1320/3757] lr: 9.9726e-03 eta: 2 days, 23:36:19 time: 0.4111 data_time: 0.0148 memory: 17007 grad_norm: 3.9159 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0682 loss: 4.0682 2022/07/26 20:02:23 - mmengine - INFO - Epoch(train) [7][1340/3757] lr: 9.9726e-03 eta: 2 days, 23:36:09 time: 0.3922 data_time: 0.0167 memory: 17007 grad_norm: 3.8365 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0983 loss: 4.0983 2022/07/26 20:02:31 - mmengine - INFO - Epoch(train) [7][1360/3757] lr: 9.9726e-03 eta: 2 days, 23:36:08 time: 0.4081 data_time: 0.0147 memory: 17007 grad_norm: 3.9456 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1823 loss: 4.1823 2022/07/26 20:02:39 - mmengine - INFO - Epoch(train) [7][1380/3757] lr: 9.9726e-03 eta: 2 days, 23:35:58 time: 0.3903 data_time: 0.0148 memory: 17007 grad_norm: 3.7853 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9617 loss: 3.9617 2022/07/26 20:02:47 - mmengine - INFO - Epoch(train) [7][1400/3757] lr: 9.9726e-03 eta: 2 days, 23:35:49 time: 0.3925 data_time: 0.0168 memory: 17007 grad_norm: 3.9428 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1722 loss: 4.1722 2022/07/26 20:02:55 - mmengine - INFO - Epoch(train) [7][1420/3757] lr: 9.9726e-03 eta: 2 days, 23:35:51 time: 0.4139 data_time: 0.0150 memory: 17007 grad_norm: 3.9763 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1555 loss: 4.1555 2022/07/26 20:03:03 - mmengine - INFO - Epoch(train) [7][1440/3757] lr: 9.9726e-03 eta: 2 days, 23:35:42 time: 0.3936 data_time: 0.0163 memory: 17007 grad_norm: 3.8613 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0768 loss: 4.0768 2022/07/26 20:03:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:03:11 - mmengine - INFO - Epoch(train) [7][1460/3757] lr: 9.9726e-03 eta: 2 days, 23:35:36 time: 0.3994 data_time: 0.0157 memory: 17007 grad_norm: 3.8434 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.9839 loss: 3.9839 2022/07/26 20:03:19 - mmengine - INFO - Epoch(train) [7][1480/3757] lr: 9.9726e-03 eta: 2 days, 23:35:27 time: 0.3923 data_time: 0.0167 memory: 17007 grad_norm: 4.0020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9174 loss: 3.9174 2022/07/26 20:03:27 - mmengine - INFO - Epoch(train) [7][1500/3757] lr: 9.9726e-03 eta: 2 days, 23:35:17 time: 0.3917 data_time: 0.0156 memory: 17007 grad_norm: 3.9791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 4.0866 loss: 4.0866 2022/07/26 20:03:35 - mmengine - INFO - Epoch(train) [7][1520/3757] lr: 9.9726e-03 eta: 2 days, 23:35:11 time: 0.3973 data_time: 0.0163 memory: 17007 grad_norm: 3.8475 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9046 loss: 3.9046 2022/07/26 20:03:43 - mmengine - INFO - Epoch(train) [7][1540/3757] lr: 9.9726e-03 eta: 2 days, 23:35:00 time: 0.3904 data_time: 0.0152 memory: 17007 grad_norm: 4.0207 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2393 loss: 4.2393 2022/07/26 20:03:51 - mmengine - INFO - Epoch(train) [7][1560/3757] lr: 9.9726e-03 eta: 2 days, 23:34:52 time: 0.3956 data_time: 0.0170 memory: 17007 grad_norm: 3.8887 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2853 loss: 4.2853 2022/07/26 20:03:58 - mmengine - INFO - Epoch(train) [7][1580/3757] lr: 9.9726e-03 eta: 2 days, 23:34:42 time: 0.3914 data_time: 0.0157 memory: 17007 grad_norm: 3.9220 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1757 loss: 4.1757 2022/07/26 20:04:06 - mmengine - INFO - Epoch(train) [7][1600/3757] lr: 9.9726e-03 eta: 2 days, 23:34:33 time: 0.3920 data_time: 0.0163 memory: 17007 grad_norm: 3.7849 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1128 loss: 4.1128 2022/07/26 20:04:14 - mmengine - INFO - Epoch(train) [7][1620/3757] lr: 9.9726e-03 eta: 2 days, 23:34:23 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 3.8474 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0314 loss: 4.0314 2022/07/26 20:04:22 - mmengine - INFO - Epoch(train) [7][1640/3757] lr: 9.9726e-03 eta: 2 days, 23:34:14 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 4.0744 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9146 loss: 3.9146 2022/07/26 20:04:30 - mmengine - INFO - Epoch(train) [7][1660/3757] lr: 9.9726e-03 eta: 2 days, 23:34:07 time: 0.3962 data_time: 0.0147 memory: 17007 grad_norm: 3.9699 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9799 loss: 3.9799 2022/07/26 20:04:38 - mmengine - INFO - Epoch(train) [7][1680/3757] lr: 9.9726e-03 eta: 2 days, 23:33:57 time: 0.3916 data_time: 0.0163 memory: 17007 grad_norm: 3.9682 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0683 loss: 4.0683 2022/07/26 20:04:45 - mmengine - INFO - Epoch(train) [7][1700/3757] lr: 9.9726e-03 eta: 2 days, 23:33:47 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 3.8855 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0722 loss: 4.0722 2022/07/26 20:04:53 - mmengine - INFO - Epoch(train) [7][1720/3757] lr: 9.9726e-03 eta: 2 days, 23:33:37 time: 0.3922 data_time: 0.0165 memory: 17007 grad_norm: 3.8670 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8805 loss: 3.8805 2022/07/26 20:05:01 - mmengine - INFO - Epoch(train) [7][1740/3757] lr: 9.9726e-03 eta: 2 days, 23:33:27 time: 0.3898 data_time: 0.0146 memory: 17007 grad_norm: 3.8882 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.0206 loss: 4.0206 2022/07/26 20:05:09 - mmengine - INFO - Epoch(train) [7][1760/3757] lr: 9.9726e-03 eta: 2 days, 23:33:17 time: 0.3916 data_time: 0.0166 memory: 17007 grad_norm: 3.7601 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1467 loss: 4.1467 2022/07/26 20:05:17 - mmengine - INFO - Epoch(train) [7][1780/3757] lr: 9.9726e-03 eta: 2 days, 23:33:08 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 3.7865 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5625 loss: 4.5625 2022/07/26 20:05:25 - mmengine - INFO - Epoch(train) [7][1800/3757] lr: 9.9726e-03 eta: 2 days, 23:33:12 time: 0.4174 data_time: 0.0157 memory: 17007 grad_norm: 3.6829 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1432 loss: 4.1432 2022/07/26 20:05:33 - mmengine - INFO - Epoch(train) [7][1820/3757] lr: 9.9726e-03 eta: 2 days, 23:33:02 time: 0.3909 data_time: 0.0160 memory: 17007 grad_norm: 3.7862 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2488 loss: 4.2488 2022/07/26 20:05:41 - mmengine - INFO - Epoch(train) [7][1840/3757] lr: 9.9726e-03 eta: 2 days, 23:32:52 time: 0.3925 data_time: 0.0171 memory: 17007 grad_norm: 3.7002 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0303 loss: 4.0303 2022/07/26 20:05:49 - mmengine - INFO - Epoch(train) [7][1860/3757] lr: 9.9726e-03 eta: 2 days, 23:32:42 time: 0.3908 data_time: 0.0161 memory: 17007 grad_norm: 3.8713 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.9585 loss: 3.9585 2022/07/26 20:05:56 - mmengine - INFO - Epoch(train) [7][1880/3757] lr: 9.9726e-03 eta: 2 days, 23:32:33 time: 0.3920 data_time: 0.0165 memory: 17007 grad_norm: 3.8399 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9197 loss: 3.9197 2022/07/26 20:06:04 - mmengine - INFO - Epoch(train) [7][1900/3757] lr: 9.9726e-03 eta: 2 days, 23:32:23 time: 0.3923 data_time: 0.0166 memory: 17007 grad_norm: 3.9008 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3591 loss: 4.3591 2022/07/26 20:06:12 - mmengine - INFO - Epoch(train) [7][1920/3757] lr: 9.9726e-03 eta: 2 days, 23:32:14 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 3.7871 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2180 loss: 4.2180 2022/07/26 20:06:20 - mmengine - INFO - Epoch(train) [7][1940/3757] lr: 9.9726e-03 eta: 2 days, 23:32:07 time: 0.3958 data_time: 0.0162 memory: 17007 grad_norm: 3.8021 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1408 loss: 4.1408 2022/07/26 20:06:28 - mmengine - INFO - Epoch(train) [7][1960/3757] lr: 9.9726e-03 eta: 2 days, 23:31:56 time: 0.3903 data_time: 0.0144 memory: 17007 grad_norm: 3.8637 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.1855 loss: 4.1855 2022/07/26 20:06:36 - mmengine - INFO - Epoch(train) [7][1980/3757] lr: 9.9726e-03 eta: 2 days, 23:31:47 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 3.7720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8815 loss: 3.8815 2022/07/26 20:06:44 - mmengine - INFO - Epoch(train) [7][2000/3757] lr: 9.9726e-03 eta: 2 days, 23:31:39 time: 0.3941 data_time: 0.0167 memory: 17007 grad_norm: 3.9074 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8946 loss: 3.8946 2022/07/26 20:06:52 - mmengine - INFO - Epoch(train) [7][2020/3757] lr: 9.9726e-03 eta: 2 days, 23:31:31 time: 0.3953 data_time: 0.0151 memory: 17007 grad_norm: 3.9454 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2031 loss: 4.2031 2022/07/26 20:06:59 - mmengine - INFO - Epoch(train) [7][2040/3757] lr: 9.9726e-03 eta: 2 days, 23:31:21 time: 0.3920 data_time: 0.0160 memory: 17007 grad_norm: 3.8449 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0605 loss: 4.0605 2022/07/26 20:07:07 - mmengine - INFO - Epoch(train) [7][2060/3757] lr: 9.9726e-03 eta: 2 days, 23:31:11 time: 0.3913 data_time: 0.0147 memory: 17007 grad_norm: 4.0021 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2411 loss: 4.2411 2022/07/26 20:07:15 - mmengine - INFO - Epoch(train) [7][2080/3757] lr: 9.9726e-03 eta: 2 days, 23:31:04 time: 0.3951 data_time: 0.0160 memory: 17007 grad_norm: 3.7864 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9971 loss: 3.9971 2022/07/26 20:07:23 - mmengine - INFO - Epoch(train) [7][2100/3757] lr: 9.9726e-03 eta: 2 days, 23:30:54 time: 0.3923 data_time: 0.0166 memory: 17007 grad_norm: 3.8343 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9635 loss: 3.9635 2022/07/26 20:07:31 - mmengine - INFO - Epoch(train) [7][2120/3757] lr: 9.9726e-03 eta: 2 days, 23:30:46 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 3.9571 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9261 loss: 3.9261 2022/07/26 20:07:39 - mmengine - INFO - Epoch(train) [7][2140/3757] lr: 9.9726e-03 eta: 2 days, 23:30:35 time: 0.3902 data_time: 0.0146 memory: 17007 grad_norm: 3.8539 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2197 loss: 4.2197 2022/07/26 20:07:47 - mmengine - INFO - Epoch(train) [7][2160/3757] lr: 9.9726e-03 eta: 2 days, 23:30:26 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 3.8980 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0671 loss: 4.0671 2022/07/26 20:07:54 - mmengine - INFO - Epoch(train) [7][2180/3757] lr: 9.9726e-03 eta: 2 days, 23:30:17 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 3.9468 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0305 loss: 4.0305 2022/07/26 20:08:02 - mmengine - INFO - Epoch(train) [7][2200/3757] lr: 9.9726e-03 eta: 2 days, 23:30:08 time: 0.3941 data_time: 0.0169 memory: 17007 grad_norm: 3.9553 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9614 loss: 3.9614 2022/07/26 20:08:10 - mmengine - INFO - Epoch(train) [7][2220/3757] lr: 9.9726e-03 eta: 2 days, 23:29:59 time: 0.3924 data_time: 0.0146 memory: 17007 grad_norm: 3.8875 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2098 loss: 4.2098 2022/07/26 20:08:18 - mmengine - INFO - Epoch(train) [7][2240/3757] lr: 9.9726e-03 eta: 2 days, 23:29:49 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 3.8167 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1026 loss: 4.1026 2022/07/26 20:08:26 - mmengine - INFO - Epoch(train) [7][2260/3757] lr: 9.9726e-03 eta: 2 days, 23:29:46 time: 0.4048 data_time: 0.0166 memory: 17007 grad_norm: 4.0397 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1595 loss: 4.1595 2022/07/26 20:08:34 - mmengine - INFO - Epoch(train) [7][2280/3757] lr: 9.9726e-03 eta: 2 days, 23:29:36 time: 0.3913 data_time: 0.0161 memory: 17007 grad_norm: 3.8492 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.2398 loss: 4.2398 2022/07/26 20:08:42 - mmengine - INFO - Epoch(train) [7][2300/3757] lr: 9.9726e-03 eta: 2 days, 23:29:28 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 3.8508 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7941 loss: 3.7941 2022/07/26 20:08:50 - mmengine - INFO - Epoch(train) [7][2320/3757] lr: 9.9726e-03 eta: 2 days, 23:29:18 time: 0.3910 data_time: 0.0154 memory: 17007 grad_norm: 3.8803 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0725 loss: 4.0725 2022/07/26 20:08:57 - mmengine - INFO - Epoch(train) [7][2340/3757] lr: 9.9726e-03 eta: 2 days, 23:29:08 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 3.9098 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0113 loss: 4.0113 2022/07/26 20:09:05 - mmengine - INFO - Epoch(train) [7][2360/3757] lr: 9.9726e-03 eta: 2 days, 23:29:02 time: 0.3987 data_time: 0.0165 memory: 17007 grad_norm: 3.9485 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1560 loss: 4.1560 2022/07/26 20:09:13 - mmengine - INFO - Epoch(train) [7][2380/3757] lr: 9.9726e-03 eta: 2 days, 23:28:53 time: 0.3927 data_time: 0.0165 memory: 17007 grad_norm: 3.9236 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0377 loss: 4.0377 2022/07/26 20:09:21 - mmengine - INFO - Epoch(train) [7][2400/3757] lr: 9.9726e-03 eta: 2 days, 23:28:44 time: 0.3930 data_time: 0.0166 memory: 17007 grad_norm: 3.9944 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1248 loss: 4.1248 2022/07/26 20:09:29 - mmengine - INFO - Epoch(train) [7][2420/3757] lr: 9.9726e-03 eta: 2 days, 23:28:33 time: 0.3895 data_time: 0.0149 memory: 17007 grad_norm: 3.8531 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9161 loss: 3.9161 2022/07/26 20:09:37 - mmengine - INFO - Epoch(train) [7][2440/3757] lr: 9.9726e-03 eta: 2 days, 23:28:24 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 3.8516 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0417 loss: 4.0417 2022/07/26 20:09:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:09:45 - mmengine - INFO - Epoch(train) [7][2460/3757] lr: 9.9726e-03 eta: 2 days, 23:28:16 time: 0.3937 data_time: 0.0165 memory: 17007 grad_norm: 3.9363 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2929 loss: 4.2929 2022/07/26 20:09:52 - mmengine - INFO - Epoch(train) [7][2480/3757] lr: 9.9726e-03 eta: 2 days, 23:28:07 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 3.8484 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8070 loss: 3.8070 2022/07/26 20:10:00 - mmengine - INFO - Epoch(train) [7][2500/3757] lr: 9.9726e-03 eta: 2 days, 23:27:57 time: 0.3911 data_time: 0.0161 memory: 17007 grad_norm: 4.0043 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8566 loss: 3.8566 2022/07/26 20:10:08 - mmengine - INFO - Epoch(train) [7][2520/3757] lr: 9.9726e-03 eta: 2 days, 23:27:48 time: 0.3914 data_time: 0.0160 memory: 17007 grad_norm: 3.9617 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0624 loss: 4.0624 2022/07/26 20:10:16 - mmengine - INFO - Epoch(train) [7][2540/3757] lr: 9.9726e-03 eta: 2 days, 23:27:42 time: 0.3989 data_time: 0.0158 memory: 17007 grad_norm: 3.7720 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0619 loss: 4.0619 2022/07/26 20:10:24 - mmengine - INFO - Epoch(train) [7][2560/3757] lr: 9.9726e-03 eta: 2 days, 23:27:36 time: 0.3990 data_time: 0.0174 memory: 17007 grad_norm: 3.8842 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9066 loss: 3.9066 2022/07/26 20:10:32 - mmengine - INFO - Epoch(train) [7][2580/3757] lr: 9.9726e-03 eta: 2 days, 23:27:27 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 3.7605 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9258 loss: 3.9258 2022/07/26 20:10:40 - mmengine - INFO - Epoch(train) [7][2600/3757] lr: 9.9726e-03 eta: 2 days, 23:27:17 time: 0.3909 data_time: 0.0164 memory: 17007 grad_norm: 3.9695 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1702 loss: 4.1702 2022/07/26 20:10:48 - mmengine - INFO - Epoch(train) [7][2620/3757] lr: 9.9726e-03 eta: 2 days, 23:27:08 time: 0.3944 data_time: 0.0143 memory: 17007 grad_norm: 3.9807 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0313 loss: 4.0313 2022/07/26 20:10:56 - mmengine - INFO - Epoch(train) [7][2640/3757] lr: 9.9726e-03 eta: 2 days, 23:26:59 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 3.8415 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0174 loss: 4.0174 2022/07/26 20:11:03 - mmengine - INFO - Epoch(train) [7][2660/3757] lr: 9.9726e-03 eta: 2 days, 23:26:49 time: 0.3920 data_time: 0.0161 memory: 17007 grad_norm: 4.0219 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.2469 loss: 4.2469 2022/07/26 20:11:11 - mmengine - INFO - Epoch(train) [7][2680/3757] lr: 9.9726e-03 eta: 2 days, 23:26:39 time: 0.3905 data_time: 0.0150 memory: 17007 grad_norm: 3.9167 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1585 loss: 4.1585 2022/07/26 20:11:19 - mmengine - INFO - Epoch(train) [7][2700/3757] lr: 9.9726e-03 eta: 2 days, 23:26:29 time: 0.3905 data_time: 0.0156 memory: 17007 grad_norm: 3.9201 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9564 loss: 3.9564 2022/07/26 20:11:27 - mmengine - INFO - Epoch(train) [7][2720/3757] lr: 9.9726e-03 eta: 2 days, 23:26:24 time: 0.4016 data_time: 0.0155 memory: 17007 grad_norm: 3.8697 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0473 loss: 4.0473 2022/07/26 20:11:35 - mmengine - INFO - Epoch(train) [7][2740/3757] lr: 9.9726e-03 eta: 2 days, 23:26:13 time: 0.3893 data_time: 0.0149 memory: 17007 grad_norm: 3.8488 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.3354 loss: 4.3354 2022/07/26 20:11:43 - mmengine - INFO - Epoch(train) [7][2760/3757] lr: 9.9726e-03 eta: 2 days, 23:26:04 time: 0.3927 data_time: 0.0167 memory: 17007 grad_norm: 3.9015 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9419 loss: 3.9419 2022/07/26 20:11:50 - mmengine - INFO - Epoch(train) [7][2780/3757] lr: 9.9726e-03 eta: 2 days, 23:25:54 time: 0.3904 data_time: 0.0152 memory: 17007 grad_norm: 3.9377 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8843 loss: 3.8843 2022/07/26 20:11:58 - mmengine - INFO - Epoch(train) [7][2800/3757] lr: 9.9726e-03 eta: 2 days, 23:25:44 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 3.9705 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9969 loss: 3.9969 2022/07/26 20:12:06 - mmengine - INFO - Epoch(train) [7][2820/3757] lr: 9.9726e-03 eta: 2 days, 23:25:35 time: 0.3931 data_time: 0.0157 memory: 17007 grad_norm: 3.9931 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9412 loss: 3.9412 2022/07/26 20:12:14 - mmengine - INFO - Epoch(train) [7][2840/3757] lr: 9.9726e-03 eta: 2 days, 23:25:26 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 3.9111 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9493 loss: 3.9493 2022/07/26 20:12:22 - mmengine - INFO - Epoch(train) [7][2860/3757] lr: 9.9726e-03 eta: 2 days, 23:25:19 time: 0.3984 data_time: 0.0160 memory: 17007 grad_norm: 4.0289 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8471 loss: 3.8471 2022/07/26 20:12:30 - mmengine - INFO - Epoch(train) [7][2880/3757] lr: 9.9726e-03 eta: 2 days, 23:25:09 time: 0.3907 data_time: 0.0152 memory: 17007 grad_norm: 3.9069 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7773 loss: 3.7773 2022/07/26 20:12:38 - mmengine - INFO - Epoch(train) [7][2900/3757] lr: 9.9726e-03 eta: 2 days, 23:24:59 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 3.8892 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9819 loss: 3.9819 2022/07/26 20:12:46 - mmengine - INFO - Epoch(train) [7][2920/3757] lr: 9.9726e-03 eta: 2 days, 23:24:52 time: 0.3964 data_time: 0.0182 memory: 17007 grad_norm: 3.9187 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8980 loss: 3.8980 2022/07/26 20:12:53 - mmengine - INFO - Epoch(train) [7][2940/3757] lr: 9.9726e-03 eta: 2 days, 23:24:42 time: 0.3912 data_time: 0.0166 memory: 17007 grad_norm: 3.8650 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.9939 loss: 3.9939 2022/07/26 20:13:01 - mmengine - INFO - Epoch(train) [7][2960/3757] lr: 9.9726e-03 eta: 2 days, 23:24:35 time: 0.3971 data_time: 0.0163 memory: 17007 grad_norm: 3.8446 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9177 loss: 3.9177 2022/07/26 20:13:09 - mmengine - INFO - Epoch(train) [7][2980/3757] lr: 9.9726e-03 eta: 2 days, 23:24:25 time: 0.3899 data_time: 0.0141 memory: 17007 grad_norm: 3.8106 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.9591 loss: 3.9591 2022/07/26 20:13:17 - mmengine - INFO - Epoch(train) [7][3000/3757] lr: 9.9726e-03 eta: 2 days, 23:24:15 time: 0.3909 data_time: 0.0155 memory: 17007 grad_norm: 3.7727 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9532 loss: 3.9532 2022/07/26 20:13:25 - mmengine - INFO - Epoch(train) [7][3020/3757] lr: 9.9726e-03 eta: 2 days, 23:24:19 time: 0.4179 data_time: 0.0173 memory: 17007 grad_norm: 3.8408 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1148 loss: 4.1148 2022/07/26 20:13:33 - mmengine - INFO - Epoch(train) [7][3040/3757] lr: 9.9726e-03 eta: 2 days, 23:24:09 time: 0.3917 data_time: 0.0155 memory: 17007 grad_norm: 3.9044 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0273 loss: 4.0273 2022/07/26 20:13:41 - mmengine - INFO - Epoch(train) [7][3060/3757] lr: 9.9726e-03 eta: 2 days, 23:24:00 time: 0.3920 data_time: 0.0165 memory: 17007 grad_norm: 3.8703 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.1385 loss: 4.1385 2022/07/26 20:13:49 - mmengine - INFO - Epoch(train) [7][3080/3757] lr: 9.9726e-03 eta: 2 days, 23:23:50 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 3.9501 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0608 loss: 4.0608 2022/07/26 20:13:57 - mmengine - INFO - Epoch(train) [7][3100/3757] lr: 9.9726e-03 eta: 2 days, 23:23:42 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 3.9170 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0329 loss: 4.0329 2022/07/26 20:14:04 - mmengine - INFO - Epoch(train) [7][3120/3757] lr: 9.9726e-03 eta: 2 days, 23:23:32 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 3.8796 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1761 loss: 4.1761 2022/07/26 20:14:12 - mmengine - INFO - Epoch(train) [7][3140/3757] lr: 9.9726e-03 eta: 2 days, 23:23:22 time: 0.3907 data_time: 0.0153 memory: 17007 grad_norm: 3.9506 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1189 loss: 4.1189 2022/07/26 20:14:20 - mmengine - INFO - Epoch(train) [7][3160/3757] lr: 9.9726e-03 eta: 2 days, 23:23:12 time: 0.3902 data_time: 0.0153 memory: 17007 grad_norm: 3.8181 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0570 loss: 4.0570 2022/07/26 20:14:28 - mmengine - INFO - Epoch(train) [7][3180/3757] lr: 9.9726e-03 eta: 2 days, 23:23:02 time: 0.3910 data_time: 0.0159 memory: 17007 grad_norm: 3.8153 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.6804 loss: 3.6804 2022/07/26 20:14:36 - mmengine - INFO - Epoch(train) [7][3200/3757] lr: 9.9726e-03 eta: 2 days, 23:22:52 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 3.9838 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8893 loss: 3.8893 2022/07/26 20:14:44 - mmengine - INFO - Epoch(train) [7][3220/3757] lr: 9.9726e-03 eta: 2 days, 23:22:43 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 4.0696 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8506 loss: 3.8506 2022/07/26 20:14:51 - mmengine - INFO - Epoch(train) [7][3240/3757] lr: 9.9726e-03 eta: 2 days, 23:22:33 time: 0.3907 data_time: 0.0156 memory: 17007 grad_norm: 3.8163 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8735 loss: 3.8735 2022/07/26 20:14:59 - mmengine - INFO - Epoch(train) [7][3260/3757] lr: 9.9726e-03 eta: 2 days, 23:22:23 time: 0.3907 data_time: 0.0156 memory: 17007 grad_norm: 3.7656 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.0300 loss: 4.0300 2022/07/26 20:15:07 - mmengine - INFO - Epoch(train) [7][3280/3757] lr: 9.9726e-03 eta: 2 days, 23:22:17 time: 0.3980 data_time: 0.0161 memory: 17007 grad_norm: 3.8747 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.4161 loss: 4.4161 2022/07/26 20:15:15 - mmengine - INFO - Epoch(train) [7][3300/3757] lr: 9.9726e-03 eta: 2 days, 23:22:08 time: 0.3922 data_time: 0.0159 memory: 17007 grad_norm: 4.0004 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9693 loss: 3.9693 2022/07/26 20:15:23 - mmengine - INFO - Epoch(train) [7][3320/3757] lr: 9.9726e-03 eta: 2 days, 23:22:02 time: 0.3998 data_time: 0.0171 memory: 17007 grad_norm: 3.8719 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1641 loss: 4.1641 2022/07/26 20:15:31 - mmengine - INFO - Epoch(train) [7][3340/3757] lr: 9.9726e-03 eta: 2 days, 23:21:52 time: 0.3908 data_time: 0.0147 memory: 17007 grad_norm: 3.7125 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8302 loss: 3.8302 2022/07/26 20:15:39 - mmengine - INFO - Epoch(train) [7][3360/3757] lr: 9.9726e-03 eta: 2 days, 23:21:42 time: 0.3910 data_time: 0.0157 memory: 17007 grad_norm: 3.8546 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9692 loss: 3.9692 2022/07/26 20:15:47 - mmengine - INFO - Epoch(train) [7][3380/3757] lr: 9.9726e-03 eta: 2 days, 23:21:33 time: 0.3923 data_time: 0.0162 memory: 17007 grad_norm: 3.9402 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7202 loss: 3.7202 2022/07/26 20:15:54 - mmengine - INFO - Epoch(train) [7][3400/3757] lr: 9.9726e-03 eta: 2 days, 23:21:23 time: 0.3910 data_time: 0.0154 memory: 17007 grad_norm: 3.9621 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8061 loss: 3.8061 2022/07/26 20:16:02 - mmengine - INFO - Epoch(train) [7][3420/3757] lr: 9.9726e-03 eta: 2 days, 23:21:15 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 3.9519 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.0601 loss: 4.0601 2022/07/26 20:16:10 - mmengine - INFO - Epoch(train) [7][3440/3757] lr: 9.9726e-03 eta: 2 days, 23:21:06 time: 0.3909 data_time: 0.0155 memory: 17007 grad_norm: 4.0288 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9644 loss: 3.9644 2022/07/26 20:16:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:16:18 - mmengine - INFO - Epoch(train) [7][3460/3757] lr: 9.9726e-03 eta: 2 days, 23:20:56 time: 0.3914 data_time: 0.0140 memory: 17007 grad_norm: 4.0164 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 4.2450 loss: 4.2450 2022/07/26 20:16:26 - mmengine - INFO - Epoch(train) [7][3480/3757] lr: 9.9726e-03 eta: 2 days, 23:20:47 time: 0.3936 data_time: 0.0170 memory: 17007 grad_norm: 3.9163 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3061 loss: 4.3061 2022/07/26 20:16:34 - mmengine - INFO - Epoch(train) [7][3500/3757] lr: 9.9726e-03 eta: 2 days, 23:20:38 time: 0.3914 data_time: 0.0152 memory: 17007 grad_norm: 3.9425 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0558 loss: 4.0558 2022/07/26 20:16:42 - mmengine - INFO - Epoch(train) [7][3520/3757] lr: 9.9726e-03 eta: 2 days, 23:20:33 time: 0.4010 data_time: 0.0163 memory: 17007 grad_norm: 4.0208 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8633 loss: 3.8633 2022/07/26 20:16:49 - mmengine - INFO - Epoch(train) [7][3540/3757] lr: 9.9726e-03 eta: 2 days, 23:20:22 time: 0.3901 data_time: 0.0156 memory: 17007 grad_norm: 3.9529 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0527 loss: 4.0527 2022/07/26 20:16:57 - mmengine - INFO - Epoch(train) [7][3560/3757] lr: 9.9726e-03 eta: 2 days, 23:20:13 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 3.9795 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1327 loss: 4.1327 2022/07/26 20:17:05 - mmengine - INFO - Epoch(train) [7][3580/3757] lr: 9.9726e-03 eta: 2 days, 23:20:03 time: 0.3899 data_time: 0.0148 memory: 17007 grad_norm: 3.9403 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0093 loss: 4.0093 2022/07/26 20:17:13 - mmengine - INFO - Epoch(train) [7][3600/3757] lr: 9.9726e-03 eta: 2 days, 23:19:53 time: 0.3910 data_time: 0.0157 memory: 17007 grad_norm: 3.9252 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1122 loss: 4.1122 2022/07/26 20:17:21 - mmengine - INFO - Epoch(train) [7][3620/3757] lr: 9.9726e-03 eta: 2 days, 23:19:44 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 3.8840 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8599 loss: 3.8599 2022/07/26 20:17:29 - mmengine - INFO - Epoch(train) [7][3640/3757] lr: 9.9726e-03 eta: 2 days, 23:19:35 time: 0.3944 data_time: 0.0171 memory: 17007 grad_norm: 3.9127 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0182 loss: 4.0182 2022/07/26 20:17:36 - mmengine - INFO - Epoch(train) [7][3660/3757] lr: 9.9726e-03 eta: 2 days, 23:19:25 time: 0.3905 data_time: 0.0148 memory: 17007 grad_norm: 3.9137 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1813 loss: 4.1813 2022/07/26 20:17:44 - mmengine - INFO - Epoch(train) [7][3680/3757] lr: 9.9726e-03 eta: 2 days, 23:19:18 time: 0.3968 data_time: 0.0169 memory: 17007 grad_norm: 3.9128 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.0226 loss: 4.0226 2022/07/26 20:17:52 - mmengine - INFO - Epoch(train) [7][3700/3757] lr: 9.9726e-03 eta: 2 days, 23:19:08 time: 0.3910 data_time: 0.0142 memory: 17007 grad_norm: 4.0126 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.9807 loss: 3.9807 2022/07/26 20:18:00 - mmengine - INFO - Epoch(train) [7][3720/3757] lr: 9.9726e-03 eta: 2 days, 23:18:59 time: 0.3916 data_time: 0.0160 memory: 17007 grad_norm: 3.9998 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8193 loss: 3.8193 2022/07/26 20:18:08 - mmengine - INFO - Epoch(train) [7][3740/3757] lr: 9.9726e-03 eta: 2 days, 23:18:51 time: 0.3944 data_time: 0.0139 memory: 17007 grad_norm: 3.9277 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1829 loss: 4.1829 2022/07/26 20:18:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:18:15 - mmengine - INFO - Epoch(train) [7][3757/3757] lr: 9.9726e-03 eta: 2 days, 23:18:51 time: 0.3892 data_time: 0.0157 memory: 17007 grad_norm: 3.9191 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.8533 loss: 3.8533 2022/07/26 20:18:15 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/07/26 20:18:26 - mmengine - INFO - Epoch(train) [8][20/3757] lr: 9.9627e-03 eta: 2 days, 23:16:15 time: 0.4455 data_time: 0.0696 memory: 17007 grad_norm: 4.0160 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0827 loss: 4.0827 2022/07/26 20:18:34 - mmengine - INFO - Epoch(train) [8][40/3757] lr: 9.9627e-03 eta: 2 days, 23:16:05 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 3.9564 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9236 loss: 3.9236 2022/07/26 20:18:41 - mmengine - INFO - Epoch(train) [8][60/3757] lr: 9.9627e-03 eta: 2 days, 23:15:55 time: 0.3893 data_time: 0.0145 memory: 17007 grad_norm: 3.9829 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0749 loss: 4.0749 2022/07/26 20:18:49 - mmengine - INFO - Epoch(train) [8][80/3757] lr: 9.9627e-03 eta: 2 days, 23:15:46 time: 0.3922 data_time: 0.0170 memory: 17007 grad_norm: 3.9149 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0495 loss: 4.0495 2022/07/26 20:18:57 - mmengine - INFO - Epoch(train) [8][100/3757] lr: 9.9627e-03 eta: 2 days, 23:15:47 time: 0.4133 data_time: 0.0160 memory: 17007 grad_norm: 3.9225 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9741 loss: 3.9741 2022/07/26 20:19:05 - mmengine - INFO - Epoch(train) [8][120/3757] lr: 9.9627e-03 eta: 2 days, 23:15:37 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 3.9466 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1594 loss: 4.1594 2022/07/26 20:19:14 - mmengine - INFO - Epoch(train) [8][140/3757] lr: 9.9627e-03 eta: 2 days, 23:15:43 time: 0.4228 data_time: 0.0159 memory: 17007 grad_norm: 3.9296 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8687 loss: 3.8687 2022/07/26 20:19:22 - mmengine - INFO - Epoch(train) [8][160/3757] lr: 9.9627e-03 eta: 2 days, 23:15:34 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 3.9848 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 4.0871 loss: 4.0871 2022/07/26 20:19:29 - mmengine - INFO - Epoch(train) [8][180/3757] lr: 9.9627e-03 eta: 2 days, 23:15:23 time: 0.3887 data_time: 0.0148 memory: 17007 grad_norm: 3.8710 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7304 loss: 3.7304 2022/07/26 20:19:37 - mmengine - INFO - Epoch(train) [8][200/3757] lr: 9.9627e-03 eta: 2 days, 23:15:18 time: 0.4013 data_time: 0.0166 memory: 17007 grad_norm: 3.9035 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 4.0666 loss: 4.0666 2022/07/26 20:19:45 - mmengine - INFO - Epoch(train) [8][220/3757] lr: 9.9627e-03 eta: 2 days, 23:15:10 time: 0.3945 data_time: 0.0169 memory: 17007 grad_norm: 4.0041 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9275 loss: 3.9275 2022/07/26 20:19:53 - mmengine - INFO - Epoch(train) [8][240/3757] lr: 9.9627e-03 eta: 2 days, 23:15:02 time: 0.3950 data_time: 0.0146 memory: 17007 grad_norm: 4.0839 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7913 loss: 3.7913 2022/07/26 20:20:01 - mmengine - INFO - Epoch(train) [8][260/3757] lr: 9.9627e-03 eta: 2 days, 23:14:52 time: 0.3899 data_time: 0.0150 memory: 17007 grad_norm: 4.0011 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.1693 loss: 4.1693 2022/07/26 20:20:09 - mmengine - INFO - Epoch(train) [8][280/3757] lr: 9.9627e-03 eta: 2 days, 23:14:43 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 3.9535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.7840 loss: 3.7840 2022/07/26 20:20:17 - mmengine - INFO - Epoch(train) [8][300/3757] lr: 9.9627e-03 eta: 2 days, 23:14:38 time: 0.4003 data_time: 0.0149 memory: 17007 grad_norm: 3.9266 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0596 loss: 4.0596 2022/07/26 20:20:25 - mmengine - INFO - Epoch(train) [8][320/3757] lr: 9.9627e-03 eta: 2 days, 23:14:29 time: 0.3932 data_time: 0.0178 memory: 17007 grad_norm: 3.9827 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1681 loss: 4.1681 2022/07/26 20:20:33 - mmengine - INFO - Epoch(train) [8][340/3757] lr: 9.9627e-03 eta: 2 days, 23:14:23 time: 0.3980 data_time: 0.0138 memory: 17007 grad_norm: 3.9555 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9820 loss: 3.9820 2022/07/26 20:20:40 - mmengine - INFO - Epoch(train) [8][360/3757] lr: 9.9627e-03 eta: 2 days, 23:14:12 time: 0.3892 data_time: 0.0152 memory: 17007 grad_norm: 3.9674 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8299 loss: 3.8299 2022/07/26 20:20:48 - mmengine - INFO - Epoch(train) [8][380/3757] lr: 9.9627e-03 eta: 2 days, 23:14:02 time: 0.3908 data_time: 0.0158 memory: 17007 grad_norm: 4.0610 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.2044 loss: 4.2044 2022/07/26 20:20:56 - mmengine - INFO - Epoch(train) [8][400/3757] lr: 9.9627e-03 eta: 2 days, 23:13:53 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 3.9499 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9242 loss: 3.9242 2022/07/26 20:21:04 - mmengine - INFO - Epoch(train) [8][420/3757] lr: 9.9627e-03 eta: 2 days, 23:13:43 time: 0.3911 data_time: 0.0163 memory: 17007 grad_norm: 3.9880 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9541 loss: 3.9541 2022/07/26 20:21:12 - mmengine - INFO - Epoch(train) [8][440/3757] lr: 9.9627e-03 eta: 2 days, 23:13:33 time: 0.3910 data_time: 0.0142 memory: 17007 grad_norm: 3.9183 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7685 loss: 3.7685 2022/07/26 20:21:19 - mmengine - INFO - Epoch(train) [8][460/3757] lr: 9.9627e-03 eta: 2 days, 23:13:23 time: 0.3898 data_time: 0.0143 memory: 17007 grad_norm: 3.9408 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.1396 loss: 4.1396 2022/07/26 20:21:27 - mmengine - INFO - Epoch(train) [8][480/3757] lr: 9.9627e-03 eta: 2 days, 23:13:14 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 4.0516 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9606 loss: 3.9606 2022/07/26 20:21:35 - mmengine - INFO - Epoch(train) [8][500/3757] lr: 9.9627e-03 eta: 2 days, 23:13:06 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 4.0909 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1073 loss: 4.1073 2022/07/26 20:21:43 - mmengine - INFO - Epoch(train) [8][520/3757] lr: 9.9627e-03 eta: 2 days, 23:12:56 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 3.8772 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8581 loss: 3.8581 2022/07/26 20:21:51 - mmengine - INFO - Epoch(train) [8][540/3757] lr: 9.9627e-03 eta: 2 days, 23:12:47 time: 0.3906 data_time: 0.0149 memory: 17007 grad_norm: 3.7886 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0655 loss: 4.0655 2022/07/26 20:21:59 - mmengine - INFO - Epoch(train) [8][560/3757] lr: 9.9627e-03 eta: 2 days, 23:12:40 time: 0.3977 data_time: 0.0161 memory: 17007 grad_norm: 3.9772 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7970 loss: 3.7970 2022/07/26 20:22:07 - mmengine - INFO - Epoch(train) [8][580/3757] lr: 9.9627e-03 eta: 2 days, 23:12:31 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 3.9146 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8164 loss: 3.8164 2022/07/26 20:22:15 - mmengine - INFO - Epoch(train) [8][600/3757] lr: 9.9627e-03 eta: 2 days, 23:12:22 time: 0.3932 data_time: 0.0166 memory: 17007 grad_norm: 3.8961 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9110 loss: 3.9110 2022/07/26 20:22:22 - mmengine - INFO - Epoch(train) [8][620/3757] lr: 9.9627e-03 eta: 2 days, 23:12:12 time: 0.3906 data_time: 0.0148 memory: 17007 grad_norm: 3.8730 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9525 loss: 3.9525 2022/07/26 20:22:30 - mmengine - INFO - Epoch(train) [8][640/3757] lr: 9.9627e-03 eta: 2 days, 23:12:02 time: 0.3909 data_time: 0.0155 memory: 17007 grad_norm: 3.8411 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 4.0281 loss: 4.0281 2022/07/26 20:22:38 - mmengine - INFO - Epoch(train) [8][660/3757] lr: 9.9627e-03 eta: 2 days, 23:11:53 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 3.9433 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8753 loss: 3.8753 2022/07/26 20:22:46 - mmengine - INFO - Epoch(train) [8][680/3757] lr: 9.9627e-03 eta: 2 days, 23:11:43 time: 0.3908 data_time: 0.0161 memory: 17007 grad_norm: 3.9101 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.1185 loss: 4.1185 2022/07/26 20:22:54 - mmengine - INFO - Epoch(train) [8][700/3757] lr: 9.9627e-03 eta: 2 days, 23:11:36 time: 0.3963 data_time: 0.0155 memory: 17007 grad_norm: 3.8581 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.0233 loss: 4.0233 2022/07/26 20:22:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:23:02 - mmengine - INFO - Epoch(train) [8][720/3757] lr: 9.9627e-03 eta: 2 days, 23:11:27 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 4.0104 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8968 loss: 3.8968 2022/07/26 20:23:09 - mmengine - INFO - Epoch(train) [8][740/3757] lr: 9.9627e-03 eta: 2 days, 23:11:17 time: 0.3904 data_time: 0.0145 memory: 17007 grad_norm: 4.0111 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8755 loss: 3.8755 2022/07/26 20:23:17 - mmengine - INFO - Epoch(train) [8][760/3757] lr: 9.9627e-03 eta: 2 days, 23:11:09 time: 0.3943 data_time: 0.0169 memory: 17007 grad_norm: 4.0259 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 4.1212 loss: 4.1212 2022/07/26 20:23:25 - mmengine - INFO - Epoch(train) [8][780/3757] lr: 9.9627e-03 eta: 2 days, 23:11:00 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 4.0230 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1935 loss: 4.1935 2022/07/26 20:23:33 - mmengine - INFO - Epoch(train) [8][800/3757] lr: 9.9627e-03 eta: 2 days, 23:10:56 time: 0.4049 data_time: 0.0157 memory: 17007 grad_norm: 4.0852 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9935 loss: 3.9935 2022/07/26 20:23:41 - mmengine - INFO - Epoch(train) [8][820/3757] lr: 9.9627e-03 eta: 2 days, 23:10:46 time: 0.3903 data_time: 0.0153 memory: 17007 grad_norm: 3.8526 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0125 loss: 4.0125 2022/07/26 20:23:49 - mmengine - INFO - Epoch(train) [8][840/3757] lr: 9.9627e-03 eta: 2 days, 23:10:38 time: 0.3945 data_time: 0.0171 memory: 17007 grad_norm: 3.9167 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8580 loss: 3.8580 2022/07/26 20:23:57 - mmengine - INFO - Epoch(train) [8][860/3757] lr: 9.9627e-03 eta: 2 days, 23:10:28 time: 0.3904 data_time: 0.0145 memory: 17007 grad_norm: 4.0554 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9498 loss: 3.9498 2022/07/26 20:24:05 - mmengine - INFO - Epoch(train) [8][880/3757] lr: 9.9627e-03 eta: 2 days, 23:10:21 time: 0.3959 data_time: 0.0167 memory: 17007 grad_norm: 4.0330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.8200 loss: 3.8200 2022/07/26 20:24:12 - mmengine - INFO - Epoch(train) [8][900/3757] lr: 9.9627e-03 eta: 2 days, 23:10:11 time: 0.3899 data_time: 0.0155 memory: 17007 grad_norm: 4.0002 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0101 loss: 4.0101 2022/07/26 20:24:20 - mmengine - INFO - Epoch(train) [8][920/3757] lr: 9.9627e-03 eta: 2 days, 23:10:01 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 4.0003 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.1489 loss: 4.1489 2022/07/26 20:24:28 - mmengine - INFO - Epoch(train) [8][940/3757] lr: 9.9627e-03 eta: 2 days, 23:09:52 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 3.9345 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8420 loss: 3.8420 2022/07/26 20:24:36 - mmengine - INFO - Epoch(train) [8][960/3757] lr: 9.9627e-03 eta: 2 days, 23:09:44 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 3.9781 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 4.1191 loss: 4.1191 2022/07/26 20:24:44 - mmengine - INFO - Epoch(train) [8][980/3757] lr: 9.9627e-03 eta: 2 days, 23:09:35 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 4.0718 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9720 loss: 3.9720 2022/07/26 20:24:52 - mmengine - INFO - Epoch(train) [8][1000/3757] lr: 9.9627e-03 eta: 2 days, 23:09:30 time: 0.4009 data_time: 0.0158 memory: 17007 grad_norm: 4.0879 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 4.1607 loss: 4.1607 2022/07/26 20:25:00 - mmengine - INFO - Epoch(train) [8][1020/3757] lr: 9.9627e-03 eta: 2 days, 23:09:20 time: 0.3905 data_time: 0.0153 memory: 17007 grad_norm: 3.9474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8578 loss: 3.8578 2022/07/26 20:25:08 - mmengine - INFO - Epoch(train) [8][1040/3757] lr: 9.9627e-03 eta: 2 days, 23:09:15 time: 0.4003 data_time: 0.0164 memory: 17007 grad_norm: 3.9509 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7862 loss: 3.7862 2022/07/26 20:25:15 - mmengine - INFO - Epoch(train) [8][1060/3757] lr: 9.9627e-03 eta: 2 days, 23:09:05 time: 0.3896 data_time: 0.0145 memory: 17007 grad_norm: 3.9847 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.9669 loss: 3.9669 2022/07/26 20:25:24 - mmengine - INFO - Epoch(train) [8][1080/3757] lr: 9.9627e-03 eta: 2 days, 23:09:03 time: 0.4074 data_time: 0.0158 memory: 17007 grad_norm: 4.0387 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1176 loss: 4.1176 2022/07/26 20:25:31 - mmengine - INFO - Epoch(train) [8][1100/3757] lr: 9.9627e-03 eta: 2 days, 23:08:53 time: 0.3910 data_time: 0.0151 memory: 17007 grad_norm: 3.9456 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6764 loss: 3.6764 2022/07/26 20:25:39 - mmengine - INFO - Epoch(train) [8][1120/3757] lr: 9.9627e-03 eta: 2 days, 23:08:44 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 3.8877 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1990 loss: 4.1990 2022/07/26 20:25:47 - mmengine - INFO - Epoch(train) [8][1140/3757] lr: 9.9627e-03 eta: 2 days, 23:08:39 time: 0.3996 data_time: 0.0166 memory: 17007 grad_norm: 3.9457 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7426 loss: 3.7426 2022/07/26 20:25:55 - mmengine - INFO - Epoch(train) [8][1160/3757] lr: 9.9627e-03 eta: 2 days, 23:08:30 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 3.8955 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0230 loss: 4.0230 2022/07/26 20:26:03 - mmengine - INFO - Epoch(train) [8][1180/3757] lr: 9.9627e-03 eta: 2 days, 23:08:24 time: 0.4004 data_time: 0.0171 memory: 17007 grad_norm: 3.9461 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9670 loss: 3.9670 2022/07/26 20:26:11 - mmengine - INFO - Epoch(train) [8][1200/3757] lr: 9.9627e-03 eta: 2 days, 23:08:16 time: 0.3931 data_time: 0.0166 memory: 17007 grad_norm: 3.9804 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8932 loss: 3.8932 2022/07/26 20:26:19 - mmengine - INFO - Epoch(train) [8][1220/3757] lr: 9.9627e-03 eta: 2 days, 23:08:09 time: 0.3970 data_time: 0.0147 memory: 17007 grad_norm: 3.9275 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9510 loss: 3.9510 2022/07/26 20:26:27 - mmengine - INFO - Epoch(train) [8][1240/3757] lr: 9.9627e-03 eta: 2 days, 23:07:59 time: 0.3910 data_time: 0.0157 memory: 17007 grad_norm: 4.0482 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0823 loss: 4.0823 2022/07/26 20:26:35 - mmengine - INFO - Epoch(train) [8][1260/3757] lr: 9.9627e-03 eta: 2 days, 23:07:52 time: 0.3961 data_time: 0.0153 memory: 17007 grad_norm: 3.9989 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9780 loss: 3.9780 2022/07/26 20:26:43 - mmengine - INFO - Epoch(train) [8][1280/3757] lr: 9.9627e-03 eta: 2 days, 23:07:42 time: 0.3910 data_time: 0.0148 memory: 17007 grad_norm: 4.0734 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6978 loss: 3.6978 2022/07/26 20:26:50 - mmengine - INFO - Epoch(train) [8][1300/3757] lr: 9.9627e-03 eta: 2 days, 23:07:32 time: 0.3897 data_time: 0.0144 memory: 17007 grad_norm: 4.0088 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9434 loss: 3.9434 2022/07/26 20:26:58 - mmengine - INFO - Epoch(train) [8][1320/3757] lr: 9.9627e-03 eta: 2 days, 23:07:25 time: 0.3961 data_time: 0.0174 memory: 17007 grad_norm: 4.0064 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.9285 loss: 3.9285 2022/07/26 20:27:06 - mmengine - INFO - Epoch(train) [8][1340/3757] lr: 9.9627e-03 eta: 2 days, 23:07:18 time: 0.3977 data_time: 0.0151 memory: 17007 grad_norm: 3.8659 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9530 loss: 3.9530 2022/07/26 20:27:14 - mmengine - INFO - Epoch(train) [8][1360/3757] lr: 9.9627e-03 eta: 2 days, 23:07:08 time: 0.3902 data_time: 0.0157 memory: 17007 grad_norm: 3.9698 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1108 loss: 4.1108 2022/07/26 20:27:22 - mmengine - INFO - Epoch(train) [8][1380/3757] lr: 9.9627e-03 eta: 2 days, 23:06:58 time: 0.3909 data_time: 0.0143 memory: 17007 grad_norm: 4.0553 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1170 loss: 4.1170 2022/07/26 20:27:30 - mmengine - INFO - Epoch(train) [8][1400/3757] lr: 9.9627e-03 eta: 2 days, 23:06:50 time: 0.3929 data_time: 0.0164 memory: 17007 grad_norm: 4.0177 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8418 loss: 3.8418 2022/07/26 20:27:38 - mmengine - INFO - Epoch(train) [8][1420/3757] lr: 9.9627e-03 eta: 2 days, 23:06:40 time: 0.3914 data_time: 0.0140 memory: 17007 grad_norm: 3.9379 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8325 loss: 3.8325 2022/07/26 20:27:45 - mmengine - INFO - Epoch(train) [8][1440/3757] lr: 9.9627e-03 eta: 2 days, 23:06:32 time: 0.3934 data_time: 0.0176 memory: 17007 grad_norm: 3.8580 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9525 loss: 3.9525 2022/07/26 20:27:53 - mmengine - INFO - Epoch(train) [8][1460/3757] lr: 9.9627e-03 eta: 2 days, 23:06:22 time: 0.3911 data_time: 0.0147 memory: 17007 grad_norm: 3.9404 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9925 loss: 3.9925 2022/07/26 20:28:01 - mmengine - INFO - Epoch(train) [8][1480/3757] lr: 9.9627e-03 eta: 2 days, 23:06:13 time: 0.3926 data_time: 0.0169 memory: 17007 grad_norm: 3.9668 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.1585 loss: 4.1585 2022/07/26 20:28:09 - mmengine - INFO - Epoch(train) [8][1500/3757] lr: 9.9627e-03 eta: 2 days, 23:06:14 time: 0.4138 data_time: 0.0159 memory: 17007 grad_norm: 4.0325 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8520 loss: 3.8520 2022/07/26 20:28:17 - mmengine - INFO - Epoch(train) [8][1520/3757] lr: 9.9627e-03 eta: 2 days, 23:06:04 time: 0.3892 data_time: 0.0150 memory: 17007 grad_norm: 4.0938 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7436 loss: 3.7436 2022/07/26 20:28:25 - mmengine - INFO - Epoch(train) [8][1540/3757] lr: 9.9627e-03 eta: 2 days, 23:05:57 time: 0.3973 data_time: 0.0160 memory: 17007 grad_norm: 3.9621 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0568 loss: 4.0568 2022/07/26 20:28:33 - mmengine - INFO - Epoch(train) [8][1560/3757] lr: 9.9627e-03 eta: 2 days, 23:05:48 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 4.0196 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9868 loss: 3.9868 2022/07/26 20:28:41 - mmengine - INFO - Epoch(train) [8][1580/3757] lr: 9.9627e-03 eta: 2 days, 23:05:38 time: 0.3900 data_time: 0.0154 memory: 17007 grad_norm: 3.9970 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8900 loss: 3.8900 2022/07/26 20:28:49 - mmengine - INFO - Epoch(train) [8][1600/3757] lr: 9.9627e-03 eta: 2 days, 23:05:31 time: 0.3979 data_time: 0.0162 memory: 17007 grad_norm: 3.9795 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9413 loss: 3.9413 2022/07/26 20:28:56 - mmengine - INFO - Epoch(train) [8][1620/3757] lr: 9.9627e-03 eta: 2 days, 23:05:22 time: 0.3905 data_time: 0.0142 memory: 17007 grad_norm: 4.0325 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1354 loss: 4.1354 2022/07/26 20:29:04 - mmengine - INFO - Epoch(train) [8][1640/3757] lr: 9.9627e-03 eta: 2 days, 23:05:14 time: 0.3958 data_time: 0.0171 memory: 17007 grad_norm: 3.9023 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.0225 loss: 4.0225 2022/07/26 20:29:12 - mmengine - INFO - Epoch(train) [8][1660/3757] lr: 9.9627e-03 eta: 2 days, 23:05:04 time: 0.3901 data_time: 0.0148 memory: 17007 grad_norm: 3.8501 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.6627 loss: 3.6627 2022/07/26 20:29:20 - mmengine - INFO - Epoch(train) [8][1680/3757] lr: 9.9627e-03 eta: 2 days, 23:04:55 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 3.8946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0569 loss: 4.0569 2022/07/26 20:29:28 - mmengine - INFO - Epoch(train) [8][1700/3757] lr: 9.9627e-03 eta: 2 days, 23:04:46 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 3.8792 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1143 loss: 4.1143 2022/07/26 20:29:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:29:36 - mmengine - INFO - Epoch(train) [8][1720/3757] lr: 9.9627e-03 eta: 2 days, 23:04:37 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 3.9548 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9608 loss: 3.9608 2022/07/26 20:29:44 - mmengine - INFO - Epoch(train) [8][1740/3757] lr: 9.9627e-03 eta: 2 days, 23:04:27 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 4.1048 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.7338 loss: 3.7338 2022/07/26 20:29:51 - mmengine - INFO - Epoch(train) [8][1760/3757] lr: 9.9627e-03 eta: 2 days, 23:04:18 time: 0.3916 data_time: 0.0162 memory: 17007 grad_norm: 4.0446 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1760 loss: 4.1760 2022/07/26 20:29:59 - mmengine - INFO - Epoch(train) [8][1780/3757] lr: 9.9627e-03 eta: 2 days, 23:04:15 time: 0.4055 data_time: 0.0141 memory: 17007 grad_norm: 4.0137 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.1933 loss: 4.1933 2022/07/26 20:30:07 - mmengine - INFO - Epoch(train) [8][1800/3757] lr: 9.9627e-03 eta: 2 days, 23:04:06 time: 0.3917 data_time: 0.0165 memory: 17007 grad_norm: 4.0141 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.9012 loss: 3.9012 2022/07/26 20:30:15 - mmengine - INFO - Epoch(train) [8][1820/3757] lr: 9.9627e-03 eta: 2 days, 23:03:57 time: 0.3923 data_time: 0.0164 memory: 17007 grad_norm: 3.9956 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7093 loss: 3.7093 2022/07/26 20:30:23 - mmengine - INFO - Epoch(train) [8][1840/3757] lr: 9.9627e-03 eta: 2 days, 23:03:53 time: 0.4026 data_time: 0.0169 memory: 17007 grad_norm: 4.0559 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8845 loss: 3.8845 2022/07/26 20:30:31 - mmengine - INFO - Epoch(train) [8][1860/3757] lr: 9.9627e-03 eta: 2 days, 23:03:43 time: 0.3904 data_time: 0.0151 memory: 17007 grad_norm: 3.9258 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8893 loss: 3.8893 2022/07/26 20:30:39 - mmengine - INFO - Epoch(train) [8][1880/3757] lr: 9.9627e-03 eta: 2 days, 23:03:35 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 3.9921 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6923 loss: 3.6923 2022/07/26 20:30:47 - mmengine - INFO - Epoch(train) [8][1900/3757] lr: 9.9627e-03 eta: 2 days, 23:03:27 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 3.9443 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1522 loss: 4.1522 2022/07/26 20:30:55 - mmengine - INFO - Epoch(train) [8][1920/3757] lr: 9.9627e-03 eta: 2 days, 23:03:18 time: 0.3928 data_time: 0.0175 memory: 17007 grad_norm: 3.9785 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7546 loss: 3.7546 2022/07/26 20:31:03 - mmengine - INFO - Epoch(train) [8][1940/3757] lr: 9.9627e-03 eta: 2 days, 23:03:13 time: 0.4000 data_time: 0.0138 memory: 17007 grad_norm: 4.0941 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9739 loss: 3.9739 2022/07/26 20:31:10 - mmengine - INFO - Epoch(train) [8][1960/3757] lr: 9.9627e-03 eta: 2 days, 23:03:03 time: 0.3905 data_time: 0.0156 memory: 17007 grad_norm: 4.0377 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7482 loss: 3.7482 2022/07/26 20:31:18 - mmengine - INFO - Epoch(train) [8][1980/3757] lr: 9.9627e-03 eta: 2 days, 23:02:54 time: 0.3914 data_time: 0.0144 memory: 17007 grad_norm: 3.9677 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4685 loss: 3.4685 2022/07/26 20:31:26 - mmengine - INFO - Epoch(train) [8][2000/3757] lr: 9.9627e-03 eta: 2 days, 23:02:45 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 4.0024 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.0035 loss: 4.0035 2022/07/26 20:31:34 - mmengine - INFO - Epoch(train) [8][2020/3757] lr: 9.9627e-03 eta: 2 days, 23:02:35 time: 0.3912 data_time: 0.0139 memory: 17007 grad_norm: 4.0159 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.8682 loss: 3.8682 2022/07/26 20:31:42 - mmengine - INFO - Epoch(train) [8][2040/3757] lr: 9.9627e-03 eta: 2 days, 23:02:25 time: 0.3908 data_time: 0.0157 memory: 17007 grad_norm: 4.0750 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9646 loss: 3.9646 2022/07/26 20:31:50 - mmengine - INFO - Epoch(train) [8][2060/3757] lr: 9.9627e-03 eta: 2 days, 23:02:16 time: 0.3915 data_time: 0.0147 memory: 17007 grad_norm: 3.9451 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.8597 loss: 3.8597 2022/07/26 20:31:58 - mmengine - INFO - Epoch(train) [8][2080/3757] lr: 9.9627e-03 eta: 2 days, 23:02:07 time: 0.3931 data_time: 0.0176 memory: 17007 grad_norm: 4.0064 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0746 loss: 4.0746 2022/07/26 20:32:05 - mmengine - INFO - Epoch(train) [8][2100/3757] lr: 9.9627e-03 eta: 2 days, 23:01:59 time: 0.3939 data_time: 0.0138 memory: 17007 grad_norm: 4.0020 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2136 loss: 4.2136 2022/07/26 20:32:13 - mmengine - INFO - Epoch(train) [8][2120/3757] lr: 9.9627e-03 eta: 2 days, 23:01:49 time: 0.3902 data_time: 0.0146 memory: 17007 grad_norm: 3.9557 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.9213 loss: 3.9213 2022/07/26 20:32:21 - mmengine - INFO - Epoch(train) [8][2140/3757] lr: 9.9627e-03 eta: 2 days, 23:01:39 time: 0.3901 data_time: 0.0148 memory: 17007 grad_norm: 4.0573 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9770 loss: 3.9770 2022/07/26 20:32:29 - mmengine - INFO - Epoch(train) [8][2160/3757] lr: 9.9627e-03 eta: 2 days, 23:01:35 time: 0.4032 data_time: 0.0156 memory: 17007 grad_norm: 3.9922 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7628 loss: 3.7628 2022/07/26 20:32:37 - mmengine - INFO - Epoch(train) [8][2180/3757] lr: 9.9627e-03 eta: 2 days, 23:01:27 time: 0.3930 data_time: 0.0165 memory: 17007 grad_norm: 4.0800 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.7998 loss: 3.7998 2022/07/26 20:32:45 - mmengine - INFO - Epoch(train) [8][2200/3757] lr: 9.9627e-03 eta: 2 days, 23:01:24 time: 0.4071 data_time: 0.0167 memory: 17007 grad_norm: 3.9430 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9929 loss: 3.9929 2022/07/26 20:32:53 - mmengine - INFO - Epoch(train) [8][2220/3757] lr: 9.9627e-03 eta: 2 days, 23:01:15 time: 0.3909 data_time: 0.0146 memory: 17007 grad_norm: 4.0687 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9045 loss: 3.9045 2022/07/26 20:33:01 - mmengine - INFO - Epoch(train) [8][2240/3757] lr: 9.9627e-03 eta: 2 days, 23:01:05 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 4.0035 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9702 loss: 3.9702 2022/07/26 20:33:09 - mmengine - INFO - Epoch(train) [8][2260/3757] lr: 9.9627e-03 eta: 2 days, 23:00:56 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 4.0966 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8778 loss: 3.8778 2022/07/26 20:33:16 - mmengine - INFO - Epoch(train) [8][2280/3757] lr: 9.9627e-03 eta: 2 days, 23:00:48 time: 0.3938 data_time: 0.0168 memory: 17007 grad_norm: 4.0536 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9786 loss: 3.9786 2022/07/26 20:33:24 - mmengine - INFO - Epoch(train) [8][2300/3757] lr: 9.9627e-03 eta: 2 days, 23:00:38 time: 0.3909 data_time: 0.0151 memory: 17007 grad_norm: 4.0961 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9730 loss: 3.9730 2022/07/26 20:33:32 - mmengine - INFO - Epoch(train) [8][2320/3757] lr: 9.9627e-03 eta: 2 days, 23:00:29 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 3.9877 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7155 loss: 3.7155 2022/07/26 20:33:40 - mmengine - INFO - Epoch(train) [8][2340/3757] lr: 9.9627e-03 eta: 2 days, 23:00:21 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 4.1820 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.9258 loss: 3.9258 2022/07/26 20:33:48 - mmengine - INFO - Epoch(train) [8][2360/3757] lr: 9.9627e-03 eta: 2 days, 23:00:12 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 4.0619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8134 loss: 3.8134 2022/07/26 20:33:56 - mmengine - INFO - Epoch(train) [8][2380/3757] lr: 9.9627e-03 eta: 2 days, 23:00:04 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 4.0395 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8671 loss: 3.8671 2022/07/26 20:34:04 - mmengine - INFO - Epoch(train) [8][2400/3757] lr: 9.9627e-03 eta: 2 days, 22:59:55 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 4.0161 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9498 loss: 3.9498 2022/07/26 20:34:11 - mmengine - INFO - Epoch(train) [8][2420/3757] lr: 9.9627e-03 eta: 2 days, 22:59:45 time: 0.3897 data_time: 0.0140 memory: 17007 grad_norm: 3.9813 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9852 loss: 3.9852 2022/07/26 20:34:19 - mmengine - INFO - Epoch(train) [8][2440/3757] lr: 9.9627e-03 eta: 2 days, 22:59:37 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 4.0154 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7983 loss: 3.7983 2022/07/26 20:34:27 - mmengine - INFO - Epoch(train) [8][2460/3757] lr: 9.9627e-03 eta: 2 days, 22:59:31 time: 0.3972 data_time: 0.0147 memory: 17007 grad_norm: 4.0257 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0628 loss: 4.0628 2022/07/26 20:34:35 - mmengine - INFO - Epoch(train) [8][2480/3757] lr: 9.9627e-03 eta: 2 days, 22:59:21 time: 0.3912 data_time: 0.0160 memory: 17007 grad_norm: 3.9001 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9578 loss: 3.9578 2022/07/26 20:34:43 - mmengine - INFO - Epoch(train) [8][2500/3757] lr: 9.9627e-03 eta: 2 days, 22:59:15 time: 0.3979 data_time: 0.0161 memory: 17007 grad_norm: 4.0232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.9131 loss: 3.9131 2022/07/26 20:34:51 - mmengine - INFO - Epoch(train) [8][2520/3757] lr: 9.9627e-03 eta: 2 days, 22:59:05 time: 0.3910 data_time: 0.0158 memory: 17007 grad_norm: 4.0440 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8309 loss: 3.8309 2022/07/26 20:34:59 - mmengine - INFO - Epoch(train) [8][2540/3757] lr: 9.9627e-03 eta: 2 days, 22:58:56 time: 0.3912 data_time: 0.0148 memory: 17007 grad_norm: 4.0885 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0187 loss: 4.0187 2022/07/26 20:35:07 - mmengine - INFO - Epoch(train) [8][2560/3757] lr: 9.9627e-03 eta: 2 days, 22:58:47 time: 0.3935 data_time: 0.0164 memory: 17007 grad_norm: 3.9929 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.9520 loss: 3.9520 2022/07/26 20:35:14 - mmengine - INFO - Epoch(train) [8][2580/3757] lr: 9.9627e-03 eta: 2 days, 22:58:38 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 3.9808 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9617 loss: 3.9617 2022/07/26 20:35:22 - mmengine - INFO - Epoch(train) [8][2600/3757] lr: 9.9627e-03 eta: 2 days, 22:58:29 time: 0.3904 data_time: 0.0154 memory: 17007 grad_norm: 4.1677 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1234 loss: 4.1234 2022/07/26 20:35:30 - mmengine - INFO - Epoch(train) [8][2620/3757] lr: 9.9627e-03 eta: 2 days, 22:58:22 time: 0.3987 data_time: 0.0149 memory: 17007 grad_norm: 4.3191 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.9675 loss: 3.9675 2022/07/26 20:35:38 - mmengine - INFO - Epoch(train) [8][2640/3757] lr: 9.9627e-03 eta: 2 days, 22:58:14 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 4.0041 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8909 loss: 3.8909 2022/07/26 20:35:46 - mmengine - INFO - Epoch(train) [8][2660/3757] lr: 9.9627e-03 eta: 2 days, 22:58:08 time: 0.3996 data_time: 0.0148 memory: 17007 grad_norm: 3.9974 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 4.2516 loss: 4.2516 2022/07/26 20:35:54 - mmengine - INFO - Epoch(train) [8][2680/3757] lr: 9.9627e-03 eta: 2 days, 22:58:01 time: 0.3958 data_time: 0.0171 memory: 17007 grad_norm: 3.9730 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9576 loss: 3.9576 2022/07/26 20:36:02 - mmengine - INFO - Epoch(train) [8][2700/3757] lr: 9.9627e-03 eta: 2 days, 22:57:51 time: 0.3909 data_time: 0.0149 memory: 17007 grad_norm: 4.0003 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9146 loss: 3.9146 2022/07/26 20:36:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:36:10 - mmengine - INFO - Epoch(train) [8][2720/3757] lr: 9.9627e-03 eta: 2 days, 22:57:41 time: 0.3900 data_time: 0.0150 memory: 17007 grad_norm: 3.8581 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8024 loss: 3.8024 2022/07/26 20:36:17 - mmengine - INFO - Epoch(train) [8][2740/3757] lr: 9.9627e-03 eta: 2 days, 22:57:32 time: 0.3919 data_time: 0.0152 memory: 17007 grad_norm: 4.1020 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7002 loss: 3.7002 2022/07/26 20:36:25 - mmengine - INFO - Epoch(train) [8][2760/3757] lr: 9.9627e-03 eta: 2 days, 22:57:23 time: 0.3926 data_time: 0.0169 memory: 17007 grad_norm: 4.0025 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0549 loss: 4.0549 2022/07/26 20:36:33 - mmengine - INFO - Epoch(train) [8][2780/3757] lr: 9.9627e-03 eta: 2 days, 22:57:16 time: 0.3963 data_time: 0.0156 memory: 17007 grad_norm: 4.0066 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8092 loss: 3.8092 2022/07/26 20:36:41 - mmengine - INFO - Epoch(train) [8][2800/3757] lr: 9.9627e-03 eta: 2 days, 22:57:07 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 4.1208 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2229 loss: 4.2229 2022/07/26 20:36:49 - mmengine - INFO - Epoch(train) [8][2820/3757] lr: 9.9627e-03 eta: 2 days, 22:56:58 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 3.9465 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.8211 loss: 3.8211 2022/07/26 20:36:57 - mmengine - INFO - Epoch(train) [8][2840/3757] lr: 9.9627e-03 eta: 2 days, 22:56:49 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 4.0310 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7427 loss: 3.7427 2022/07/26 20:37:05 - mmengine - INFO - Epoch(train) [8][2860/3757] lr: 9.9627e-03 eta: 2 days, 22:56:39 time: 0.3915 data_time: 0.0158 memory: 17007 grad_norm: 4.0909 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8252 loss: 3.8252 2022/07/26 20:37:12 - mmengine - INFO - Epoch(train) [8][2880/3757] lr: 9.9627e-03 eta: 2 days, 22:56:29 time: 0.3904 data_time: 0.0153 memory: 17007 grad_norm: 4.0150 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8971 loss: 3.8971 2022/07/26 20:37:21 - mmengine - INFO - Epoch(train) [8][2900/3757] lr: 9.9627e-03 eta: 2 days, 22:56:29 time: 0.4113 data_time: 0.0148 memory: 17007 grad_norm: 3.9035 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.9378 loss: 3.9378 2022/07/26 20:37:28 - mmengine - INFO - Epoch(train) [8][2920/3757] lr: 9.9627e-03 eta: 2 days, 22:56:19 time: 0.3910 data_time: 0.0158 memory: 17007 grad_norm: 4.0061 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9739 loss: 3.9739 2022/07/26 20:37:36 - mmengine - INFO - Epoch(train) [8][2940/3757] lr: 9.9627e-03 eta: 2 days, 22:56:15 time: 0.4023 data_time: 0.0153 memory: 17007 grad_norm: 4.0630 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7869 loss: 3.7869 2022/07/26 20:37:44 - mmengine - INFO - Epoch(train) [8][2960/3757] lr: 9.9627e-03 eta: 2 days, 22:56:06 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 3.9646 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0319 loss: 4.0319 2022/07/26 20:37:52 - mmengine - INFO - Epoch(train) [8][2980/3757] lr: 9.9627e-03 eta: 2 days, 22:55:56 time: 0.3905 data_time: 0.0151 memory: 17007 grad_norm: 3.8460 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9452 loss: 3.9452 2022/07/26 20:38:00 - mmengine - INFO - Epoch(train) [8][3000/3757] lr: 9.9627e-03 eta: 2 days, 22:55:47 time: 0.3924 data_time: 0.0163 memory: 17007 grad_norm: 3.9249 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8082 loss: 3.8082 2022/07/26 20:38:08 - mmengine - INFO - Epoch(train) [8][3020/3757] lr: 9.9627e-03 eta: 2 days, 22:55:38 time: 0.3908 data_time: 0.0150 memory: 17007 grad_norm: 4.0335 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8809 loss: 3.8809 2022/07/26 20:38:16 - mmengine - INFO - Epoch(train) [8][3040/3757] lr: 9.9627e-03 eta: 2 days, 22:55:30 time: 0.3946 data_time: 0.0167 memory: 17007 grad_norm: 3.9588 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7697 loss: 3.7697 2022/07/26 20:38:23 - mmengine - INFO - Epoch(train) [8][3060/3757] lr: 9.9627e-03 eta: 2 days, 22:55:20 time: 0.3905 data_time: 0.0139 memory: 17007 grad_norm: 3.9867 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9463 loss: 3.9463 2022/07/26 20:38:31 - mmengine - INFO - Epoch(train) [8][3080/3757] lr: 9.9627e-03 eta: 2 days, 22:55:10 time: 0.3902 data_time: 0.0148 memory: 17007 grad_norm: 4.1036 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0155 loss: 4.0155 2022/07/26 20:38:39 - mmengine - INFO - Epoch(train) [8][3100/3757] lr: 9.9627e-03 eta: 2 days, 22:55:01 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 4.1318 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6306 loss: 3.6306 2022/07/26 20:38:47 - mmengine - INFO - Epoch(train) [8][3120/3757] lr: 9.9627e-03 eta: 2 days, 22:54:52 time: 0.3930 data_time: 0.0165 memory: 17007 grad_norm: 4.0700 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8535 loss: 3.8535 2022/07/26 20:38:55 - mmengine - INFO - Epoch(train) [8][3140/3757] lr: 9.9627e-03 eta: 2 days, 22:54:46 time: 0.3980 data_time: 0.0146 memory: 17007 grad_norm: 4.1071 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7748 loss: 3.7748 2022/07/26 20:39:03 - mmengine - INFO - Epoch(train) [8][3160/3757] lr: 9.9627e-03 eta: 2 days, 22:54:37 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 4.1500 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.9315 loss: 3.9315 2022/07/26 20:39:11 - mmengine - INFO - Epoch(train) [8][3180/3757] lr: 9.9627e-03 eta: 2 days, 22:54:28 time: 0.3920 data_time: 0.0150 memory: 17007 grad_norm: 4.1191 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.7365 loss: 3.7365 2022/07/26 20:39:19 - mmengine - INFO - Epoch(train) [8][3200/3757] lr: 9.9627e-03 eta: 2 days, 22:54:20 time: 0.3964 data_time: 0.0156 memory: 17007 grad_norm: 3.9547 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7313 loss: 3.7313 2022/07/26 20:39:26 - mmengine - INFO - Epoch(train) [8][3220/3757] lr: 9.9627e-03 eta: 2 days, 22:54:11 time: 0.3922 data_time: 0.0150 memory: 17007 grad_norm: 4.0294 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.9880 loss: 3.9880 2022/07/26 20:39:34 - mmengine - INFO - Epoch(train) [8][3240/3757] lr: 9.9627e-03 eta: 2 days, 22:54:02 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 4.0394 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8746 loss: 3.8746 2022/07/26 20:39:42 - mmengine - INFO - Epoch(train) [8][3260/3757] lr: 9.9627e-03 eta: 2 days, 22:53:52 time: 0.3890 data_time: 0.0142 memory: 17007 grad_norm: 4.1459 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8578 loss: 3.8578 2022/07/26 20:39:50 - mmengine - INFO - Epoch(train) [8][3280/3757] lr: 9.9627e-03 eta: 2 days, 22:53:43 time: 0.3939 data_time: 0.0161 memory: 17007 grad_norm: 4.0487 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1904 loss: 4.1904 2022/07/26 20:39:58 - mmengine - INFO - Epoch(train) [8][3300/3757] lr: 9.9627e-03 eta: 2 days, 22:53:35 time: 0.3938 data_time: 0.0147 memory: 17007 grad_norm: 3.9920 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8865 loss: 3.8865 2022/07/26 20:40:06 - mmengine - INFO - Epoch(train) [8][3320/3757] lr: 9.9627e-03 eta: 2 days, 22:53:27 time: 0.3934 data_time: 0.0169 memory: 17007 grad_norm: 4.0603 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5285 loss: 3.5285 2022/07/26 20:40:14 - mmengine - INFO - Epoch(train) [8][3340/3757] lr: 9.9627e-03 eta: 2 days, 22:53:25 time: 0.4097 data_time: 0.0168 memory: 17007 grad_norm: 4.1672 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9193 loss: 3.9193 2022/07/26 20:40:22 - mmengine - INFO - Epoch(train) [8][3360/3757] lr: 9.9627e-03 eta: 2 days, 22:53:16 time: 0.3915 data_time: 0.0163 memory: 17007 grad_norm: 4.0270 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5982 loss: 3.5982 2022/07/26 20:40:29 - mmengine - INFO - Epoch(train) [8][3380/3757] lr: 9.9627e-03 eta: 2 days, 22:53:07 time: 0.3910 data_time: 0.0148 memory: 17007 grad_norm: 4.0343 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9611 loss: 3.9611 2022/07/26 20:40:37 - mmengine - INFO - Epoch(train) [8][3400/3757] lr: 9.9627e-03 eta: 2 days, 22:52:58 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 4.0971 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0051 loss: 4.0051 2022/07/26 20:40:45 - mmengine - INFO - Epoch(train) [8][3420/3757] lr: 9.9627e-03 eta: 2 days, 22:52:49 time: 0.3918 data_time: 0.0154 memory: 17007 grad_norm: 4.0582 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9429 loss: 3.9429 2022/07/26 20:40:53 - mmengine - INFO - Epoch(train) [8][3440/3757] lr: 9.9627e-03 eta: 2 days, 22:52:40 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 4.0165 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9145 loss: 3.9145 2022/07/26 20:41:01 - mmengine - INFO - Epoch(train) [8][3460/3757] lr: 9.9627e-03 eta: 2 days, 22:52:30 time: 0.3911 data_time: 0.0144 memory: 17007 grad_norm: 3.9529 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.2670 loss: 4.2670 2022/07/26 20:41:09 - mmengine - INFO - Epoch(train) [8][3480/3757] lr: 9.9627e-03 eta: 2 days, 22:52:21 time: 0.3925 data_time: 0.0164 memory: 17007 grad_norm: 4.0226 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0247 loss: 4.0247 2022/07/26 20:41:16 - mmengine - INFO - Epoch(train) [8][3500/3757] lr: 9.9627e-03 eta: 2 days, 22:52:13 time: 0.3927 data_time: 0.0146 memory: 17007 grad_norm: 4.1910 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9769 loss: 3.9769 2022/07/26 20:41:24 - mmengine - INFO - Epoch(train) [8][3520/3757] lr: 9.9627e-03 eta: 2 days, 22:52:04 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 4.0900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.7859 loss: 3.7859 2022/07/26 20:41:32 - mmengine - INFO - Epoch(train) [8][3540/3757] lr: 9.9627e-03 eta: 2 days, 22:51:54 time: 0.3898 data_time: 0.0136 memory: 17007 grad_norm: 4.0127 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8290 loss: 3.8290 2022/07/26 20:41:40 - mmengine - INFO - Epoch(train) [8][3560/3757] lr: 9.9627e-03 eta: 2 days, 22:51:44 time: 0.3905 data_time: 0.0149 memory: 17007 grad_norm: 4.0259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8498 loss: 3.8498 2022/07/26 20:41:48 - mmengine - INFO - Epoch(train) [8][3580/3757] lr: 9.9627e-03 eta: 2 days, 22:51:36 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 4.0717 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.1162 loss: 4.1162 2022/07/26 20:41:56 - mmengine - INFO - Epoch(train) [8][3600/3757] lr: 9.9627e-03 eta: 2 days, 22:51:28 time: 0.3965 data_time: 0.0171 memory: 17007 grad_norm: 4.0271 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8956 loss: 3.8956 2022/07/26 20:42:04 - mmengine - INFO - Epoch(train) [8][3620/3757] lr: 9.9627e-03 eta: 2 days, 22:51:19 time: 0.3913 data_time: 0.0152 memory: 17007 grad_norm: 4.0516 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9461 loss: 3.9461 2022/07/26 20:42:11 - mmengine - INFO - Epoch(train) [8][3640/3757] lr: 9.9627e-03 eta: 2 days, 22:51:10 time: 0.3915 data_time: 0.0162 memory: 17007 grad_norm: 3.9508 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0975 loss: 4.0975 2022/07/26 20:42:19 - mmengine - INFO - Epoch(train) [8][3660/3757] lr: 9.9627e-03 eta: 2 days, 22:51:03 time: 0.3969 data_time: 0.0137 memory: 17007 grad_norm: 3.9463 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7437 loss: 3.7437 2022/07/26 20:42:27 - mmengine - INFO - Epoch(train) [8][3680/3757] lr: 9.9627e-03 eta: 2 days, 22:50:54 time: 0.3917 data_time: 0.0151 memory: 17007 grad_norm: 4.0949 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8549 loss: 3.8549 2022/07/26 20:42:35 - mmengine - INFO - Epoch(train) [8][3700/3757] lr: 9.9627e-03 eta: 2 days, 22:50:45 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 4.1150 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.8834 loss: 3.8834 2022/07/26 20:42:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:42:43 - mmengine - INFO - Epoch(train) [8][3720/3757] lr: 9.9627e-03 eta: 2 days, 22:50:35 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 3.9570 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9368 loss: 3.9368 2022/07/26 20:42:51 - mmengine - INFO - Epoch(train) [8][3740/3757] lr: 9.9627e-03 eta: 2 days, 22:50:26 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 4.0181 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9100 loss: 3.9100 2022/07/26 20:42:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:42:58 - mmengine - INFO - Epoch(train) [8][3757/3757] lr: 9.9627e-03 eta: 2 days, 22:50:26 time: 0.4030 data_time: 0.0168 memory: 17007 grad_norm: 4.0771 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 3.9762 loss: 3.9762 2022/07/26 20:42:58 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/07/26 20:43:08 - mmengine - INFO - Epoch(train) [9][20/3757] lr: 9.9513e-03 eta: 2 days, 22:48:15 time: 0.4586 data_time: 0.0806 memory: 17007 grad_norm: 3.8888 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.5031 loss: 3.5031 2022/07/26 20:43:16 - mmengine - INFO - Epoch(train) [9][40/3757] lr: 9.9513e-03 eta: 2 days, 22:48:08 time: 0.3979 data_time: 0.0173 memory: 17007 grad_norm: 4.1014 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8455 loss: 3.8455 2022/07/26 20:43:24 - mmengine - INFO - Epoch(train) [9][60/3757] lr: 9.9513e-03 eta: 2 days, 22:47:59 time: 0.3906 data_time: 0.0148 memory: 17007 grad_norm: 4.1306 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7414 loss: 3.7414 2022/07/26 20:43:32 - mmengine - INFO - Epoch(train) [9][80/3757] lr: 9.9513e-03 eta: 2 days, 22:47:50 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 4.0112 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8920 loss: 3.8920 2022/07/26 20:43:40 - mmengine - INFO - Epoch(train) [9][100/3757] lr: 9.9513e-03 eta: 2 days, 22:47:42 time: 0.3948 data_time: 0.0144 memory: 17007 grad_norm: 4.0659 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6715 loss: 3.6715 2022/07/26 20:43:48 - mmengine - INFO - Epoch(train) [9][120/3757] lr: 9.9513e-03 eta: 2 days, 22:47:34 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 4.1712 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8288 loss: 3.8288 2022/07/26 20:43:56 - mmengine - INFO - Epoch(train) [9][140/3757] lr: 9.9513e-03 eta: 2 days, 22:47:32 time: 0.4092 data_time: 0.0141 memory: 17007 grad_norm: 4.0015 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8960 loss: 3.8960 2022/07/26 20:44:04 - mmengine - INFO - Epoch(train) [9][160/3757] lr: 9.9513e-03 eta: 2 days, 22:47:23 time: 0.3920 data_time: 0.0160 memory: 17007 grad_norm: 4.1092 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3119 loss: 4.3119 2022/07/26 20:44:12 - mmengine - INFO - Epoch(train) [9][180/3757] lr: 9.9513e-03 eta: 2 days, 22:47:14 time: 0.3901 data_time: 0.0152 memory: 17007 grad_norm: 3.9279 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6136 loss: 3.6136 2022/07/26 20:44:20 - mmengine - INFO - Epoch(train) [9][200/3757] lr: 9.9513e-03 eta: 2 days, 22:47:06 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 4.0074 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0488 loss: 4.0488 2022/07/26 20:44:27 - mmengine - INFO - Epoch(train) [9][220/3757] lr: 9.9513e-03 eta: 2 days, 22:46:57 time: 0.3922 data_time: 0.0166 memory: 17007 grad_norm: 4.0579 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7284 loss: 3.7284 2022/07/26 20:44:35 - mmengine - INFO - Epoch(train) [9][240/3757] lr: 9.9513e-03 eta: 2 days, 22:46:49 time: 0.3944 data_time: 0.0176 memory: 17007 grad_norm: 4.0947 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7377 loss: 3.7377 2022/07/26 20:44:43 - mmengine - INFO - Epoch(train) [9][260/3757] lr: 9.9513e-03 eta: 2 days, 22:46:39 time: 0.3897 data_time: 0.0145 memory: 17007 grad_norm: 4.1130 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0106 loss: 4.0106 2022/07/26 20:44:51 - mmengine - INFO - Epoch(train) [9][280/3757] lr: 9.9513e-03 eta: 2 days, 22:46:30 time: 0.3914 data_time: 0.0164 memory: 17007 grad_norm: 4.1094 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6698 loss: 3.6698 2022/07/26 20:44:59 - mmengine - INFO - Epoch(train) [9][300/3757] lr: 9.9513e-03 eta: 2 days, 22:46:22 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 4.0845 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8155 loss: 3.8155 2022/07/26 20:45:07 - mmengine - INFO - Epoch(train) [9][320/3757] lr: 9.9513e-03 eta: 2 days, 22:46:12 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 4.0543 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.9930 loss: 3.9930 2022/07/26 20:45:15 - mmengine - INFO - Epoch(train) [9][340/3757] lr: 9.9513e-03 eta: 2 days, 22:46:06 time: 0.3978 data_time: 0.0161 memory: 17007 grad_norm: 4.0288 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8377 loss: 3.8377 2022/07/26 20:45:22 - mmengine - INFO - Epoch(train) [9][360/3757] lr: 9.9513e-03 eta: 2 days, 22:45:57 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 4.1776 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8761 loss: 3.8761 2022/07/26 20:45:30 - mmengine - INFO - Epoch(train) [9][380/3757] lr: 9.9513e-03 eta: 2 days, 22:45:47 time: 0.3905 data_time: 0.0155 memory: 17007 grad_norm: 3.9424 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8916 loss: 3.8916 2022/07/26 20:45:38 - mmengine - INFO - Epoch(train) [9][400/3757] lr: 9.9513e-03 eta: 2 days, 22:45:39 time: 0.3942 data_time: 0.0172 memory: 17007 grad_norm: 4.0346 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8898 loss: 3.8898 2022/07/26 20:45:46 - mmengine - INFO - Epoch(train) [9][420/3757] lr: 9.9513e-03 eta: 2 days, 22:45:30 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 3.9269 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0590 loss: 4.0590 2022/07/26 20:45:54 - mmengine - INFO - Epoch(train) [9][440/3757] lr: 9.9513e-03 eta: 2 days, 22:45:21 time: 0.3908 data_time: 0.0155 memory: 17007 grad_norm: 4.0632 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8740 loss: 3.8740 2022/07/26 20:46:02 - mmengine - INFO - Epoch(train) [9][460/3757] lr: 9.9513e-03 eta: 2 days, 22:45:11 time: 0.3902 data_time: 0.0141 memory: 17007 grad_norm: 4.0098 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8345 loss: 3.8345 2022/07/26 20:46:09 - mmengine - INFO - Epoch(train) [9][480/3757] lr: 9.9513e-03 eta: 2 days, 22:45:02 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 4.0867 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.1585 loss: 4.1585 2022/07/26 20:46:17 - mmengine - INFO - Epoch(train) [9][500/3757] lr: 9.9513e-03 eta: 2 days, 22:44:52 time: 0.3914 data_time: 0.0158 memory: 17007 grad_norm: 4.0902 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.9485 loss: 3.9485 2022/07/26 20:46:25 - mmengine - INFO - Epoch(train) [9][520/3757] lr: 9.9513e-03 eta: 2 days, 22:44:44 time: 0.3919 data_time: 0.0172 memory: 17007 grad_norm: 4.1149 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6543 loss: 3.6543 2022/07/26 20:46:33 - mmengine - INFO - Epoch(train) [9][540/3757] lr: 9.9513e-03 eta: 2 days, 22:44:34 time: 0.3902 data_time: 0.0156 memory: 17007 grad_norm: 4.0377 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8627 loss: 3.8627 2022/07/26 20:46:41 - mmengine - INFO - Epoch(train) [9][560/3757] lr: 9.9513e-03 eta: 2 days, 22:44:26 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 4.0721 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8462 loss: 3.8462 2022/07/26 20:46:49 - mmengine - INFO - Epoch(train) [9][580/3757] lr: 9.9513e-03 eta: 2 days, 22:44:18 time: 0.3928 data_time: 0.0168 memory: 17007 grad_norm: 4.0159 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.8139 loss: 3.8139 2022/07/26 20:46:57 - mmengine - INFO - Epoch(train) [9][600/3757] lr: 9.9513e-03 eta: 2 days, 22:44:10 time: 0.3949 data_time: 0.0170 memory: 17007 grad_norm: 3.9812 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7149 loss: 3.7149 2022/07/26 20:47:04 - mmengine - INFO - Epoch(train) [9][620/3757] lr: 9.9513e-03 eta: 2 days, 22:44:01 time: 0.3922 data_time: 0.0159 memory: 17007 grad_norm: 4.2207 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0248 loss: 4.0248 2022/07/26 20:47:12 - mmengine - INFO - Epoch(train) [9][640/3757] lr: 9.9513e-03 eta: 2 days, 22:43:52 time: 0.3916 data_time: 0.0154 memory: 17007 grad_norm: 4.0978 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5895 loss: 3.5895 2022/07/26 20:47:20 - mmengine - INFO - Epoch(train) [9][660/3757] lr: 9.9513e-03 eta: 2 days, 22:43:44 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 4.1166 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8130 loss: 3.8130 2022/07/26 20:47:28 - mmengine - INFO - Epoch(train) [9][680/3757] lr: 9.9513e-03 eta: 2 days, 22:43:35 time: 0.3931 data_time: 0.0174 memory: 17007 grad_norm: 4.1410 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7747 loss: 3.7747 2022/07/26 20:47:36 - mmengine - INFO - Epoch(train) [9][700/3757] lr: 9.9513e-03 eta: 2 days, 22:43:25 time: 0.3903 data_time: 0.0143 memory: 17007 grad_norm: 4.1412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.9034 loss: 3.9034 2022/07/26 20:47:44 - mmengine - INFO - Epoch(train) [9][720/3757] lr: 9.9513e-03 eta: 2 days, 22:43:16 time: 0.3902 data_time: 0.0158 memory: 17007 grad_norm: 4.1131 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0199 loss: 4.0199 2022/07/26 20:47:51 - mmengine - INFO - Epoch(train) [9][740/3757] lr: 9.9513e-03 eta: 2 days, 22:43:07 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 4.0699 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0490 loss: 4.0490 2022/07/26 20:48:00 - mmengine - INFO - Epoch(train) [9][760/3757] lr: 9.9513e-03 eta: 2 days, 22:43:06 time: 0.4114 data_time: 0.0164 memory: 17007 grad_norm: 4.1133 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0911 loss: 4.0911 2022/07/26 20:48:07 - mmengine - INFO - Epoch(train) [9][780/3757] lr: 9.9513e-03 eta: 2 days, 22:42:58 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 4.1223 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8667 loss: 3.8667 2022/07/26 20:48:15 - mmengine - INFO - Epoch(train) [9][800/3757] lr: 9.9513e-03 eta: 2 days, 22:42:50 time: 0.3963 data_time: 0.0157 memory: 17007 grad_norm: 4.0800 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8286 loss: 3.8286 2022/07/26 20:48:23 - mmengine - INFO - Epoch(train) [9][820/3757] lr: 9.9513e-03 eta: 2 days, 22:42:41 time: 0.3908 data_time: 0.0150 memory: 17007 grad_norm: 4.0824 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9104 loss: 3.9104 2022/07/26 20:48:31 - mmengine - INFO - Epoch(train) [9][840/3757] lr: 9.9513e-03 eta: 2 days, 22:42:33 time: 0.3940 data_time: 0.0174 memory: 17007 grad_norm: 4.0534 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8475 loss: 3.8475 2022/07/26 20:48:39 - mmengine - INFO - Epoch(train) [9][860/3757] lr: 9.9513e-03 eta: 2 days, 22:42:25 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 4.0999 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0012 loss: 4.0012 2022/07/26 20:48:47 - mmengine - INFO - Epoch(train) [9][880/3757] lr: 9.9513e-03 eta: 2 days, 22:42:17 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 4.1469 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8850 loss: 3.8850 2022/07/26 20:48:55 - mmengine - INFO - Epoch(train) [9][900/3757] lr: 9.9513e-03 eta: 2 days, 22:42:08 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 4.1493 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9435 loss: 3.9435 2022/07/26 20:49:03 - mmengine - INFO - Epoch(train) [9][920/3757] lr: 9.9513e-03 eta: 2 days, 22:41:59 time: 0.3905 data_time: 0.0165 memory: 17007 grad_norm: 4.0498 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.7593 loss: 3.7593 2022/07/26 20:49:10 - mmengine - INFO - Epoch(train) [9][940/3757] lr: 9.9513e-03 eta: 2 days, 22:41:49 time: 0.3913 data_time: 0.0150 memory: 17007 grad_norm: 4.1064 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8776 loss: 3.8776 2022/07/26 20:49:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:49:18 - mmengine - INFO - Epoch(train) [9][960/3757] lr: 9.9513e-03 eta: 2 days, 22:41:41 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 4.1071 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7199 loss: 3.7199 2022/07/26 20:49:26 - mmengine - INFO - Epoch(train) [9][980/3757] lr: 9.9513e-03 eta: 2 days, 22:41:32 time: 0.3921 data_time: 0.0148 memory: 17007 grad_norm: 4.0895 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7664 loss: 3.7664 2022/07/26 20:49:34 - mmengine - INFO - Epoch(train) [9][1000/3757] lr: 9.9513e-03 eta: 2 days, 22:41:24 time: 0.3940 data_time: 0.0163 memory: 17007 grad_norm: 4.0611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.9019 loss: 3.9019 2022/07/26 20:49:42 - mmengine - INFO - Epoch(train) [9][1020/3757] lr: 9.9513e-03 eta: 2 days, 22:41:16 time: 0.3923 data_time: 0.0147 memory: 17007 grad_norm: 4.1433 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.9258 loss: 3.9258 2022/07/26 20:49:50 - mmengine - INFO - Epoch(train) [9][1040/3757] lr: 9.9513e-03 eta: 2 days, 22:41:06 time: 0.3910 data_time: 0.0157 memory: 17007 grad_norm: 4.1446 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6788 loss: 3.6788 2022/07/26 20:49:58 - mmengine - INFO - Epoch(train) [9][1060/3757] lr: 9.9513e-03 eta: 2 days, 22:40:59 time: 0.3960 data_time: 0.0165 memory: 17007 grad_norm: 4.2981 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9920 loss: 3.9920 2022/07/26 20:50:05 - mmengine - INFO - Epoch(train) [9][1080/3757] lr: 9.9513e-03 eta: 2 days, 22:40:50 time: 0.3927 data_time: 0.0170 memory: 17007 grad_norm: 4.1111 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7820 loss: 3.7820 2022/07/26 20:50:13 - mmengine - INFO - Epoch(train) [9][1100/3757] lr: 9.9513e-03 eta: 2 days, 22:40:41 time: 0.3913 data_time: 0.0145 memory: 17007 grad_norm: 4.0538 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.7617 loss: 3.7617 2022/07/26 20:50:21 - mmengine - INFO - Epoch(train) [9][1120/3757] lr: 9.9513e-03 eta: 2 days, 22:40:33 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 4.1035 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9647 loss: 3.9647 2022/07/26 20:50:29 - mmengine - INFO - Epoch(train) [9][1140/3757] lr: 9.9513e-03 eta: 2 days, 22:40:24 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 4.0966 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9224 loss: 3.9224 2022/07/26 20:50:37 - mmengine - INFO - Epoch(train) [9][1160/3757] lr: 9.9513e-03 eta: 2 days, 22:40:16 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 4.0442 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8742 loss: 3.8742 2022/07/26 20:50:45 - mmengine - INFO - Epoch(train) [9][1180/3757] lr: 9.9513e-03 eta: 2 days, 22:40:07 time: 0.3929 data_time: 0.0168 memory: 17007 grad_norm: 4.0714 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7423 loss: 3.7423 2022/07/26 20:50:52 - mmengine - INFO - Epoch(train) [9][1200/3757] lr: 9.9513e-03 eta: 2 days, 22:39:58 time: 0.3924 data_time: 0.0161 memory: 17007 grad_norm: 4.0466 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0012 loss: 4.0012 2022/07/26 20:51:00 - mmengine - INFO - Epoch(train) [9][1220/3757] lr: 9.9513e-03 eta: 2 days, 22:39:50 time: 0.3930 data_time: 0.0153 memory: 17007 grad_norm: 4.0392 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7418 loss: 3.7418 2022/07/26 20:51:08 - mmengine - INFO - Epoch(train) [9][1240/3757] lr: 9.9513e-03 eta: 2 days, 22:39:41 time: 0.3925 data_time: 0.0171 memory: 17007 grad_norm: 4.2919 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.9438 loss: 3.9438 2022/07/26 20:51:16 - mmengine - INFO - Epoch(train) [9][1260/3757] lr: 9.9513e-03 eta: 2 days, 22:39:32 time: 0.3908 data_time: 0.0140 memory: 17007 grad_norm: 3.9621 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0137 loss: 4.0137 2022/07/26 20:51:24 - mmengine - INFO - Epoch(train) [9][1280/3757] lr: 9.9513e-03 eta: 2 days, 22:39:23 time: 0.3909 data_time: 0.0153 memory: 17007 grad_norm: 4.0260 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8809 loss: 3.8809 2022/07/26 20:51:32 - mmengine - INFO - Epoch(train) [9][1300/3757] lr: 9.9513e-03 eta: 2 days, 22:39:14 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 4.0343 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6068 loss: 3.6068 2022/07/26 20:51:40 - mmengine - INFO - Epoch(train) [9][1320/3757] lr: 9.9513e-03 eta: 2 days, 22:39:05 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 4.1947 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8161 loss: 3.8161 2022/07/26 20:51:47 - mmengine - INFO - Epoch(train) [9][1340/3757] lr: 9.9513e-03 eta: 2 days, 22:38:56 time: 0.3916 data_time: 0.0154 memory: 17007 grad_norm: 4.1795 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0569 loss: 4.0569 2022/07/26 20:51:55 - mmengine - INFO - Epoch(train) [9][1360/3757] lr: 9.9513e-03 eta: 2 days, 22:38:51 time: 0.3996 data_time: 0.0160 memory: 17007 grad_norm: 4.0849 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7435 loss: 3.7435 2022/07/26 20:52:03 - mmengine - INFO - Epoch(train) [9][1380/3757] lr: 9.9513e-03 eta: 2 days, 22:38:41 time: 0.3906 data_time: 0.0148 memory: 17007 grad_norm: 4.0716 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0687 loss: 4.0687 2022/07/26 20:52:11 - mmengine - INFO - Epoch(train) [9][1400/3757] lr: 9.9513e-03 eta: 2 days, 22:38:33 time: 0.3933 data_time: 0.0167 memory: 17007 grad_norm: 3.9856 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7997 loss: 3.7997 2022/07/26 20:52:19 - mmengine - INFO - Epoch(train) [9][1420/3757] lr: 9.9513e-03 eta: 2 days, 22:38:24 time: 0.3920 data_time: 0.0150 memory: 17007 grad_norm: 4.0484 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0573 loss: 4.0573 2022/07/26 20:52:27 - mmengine - INFO - Epoch(train) [9][1440/3757] lr: 9.9513e-03 eta: 2 days, 22:38:15 time: 0.3907 data_time: 0.0145 memory: 17007 grad_norm: 4.1428 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6440 loss: 3.6440 2022/07/26 20:52:35 - mmengine - INFO - Epoch(train) [9][1460/3757] lr: 9.9513e-03 eta: 2 days, 22:38:07 time: 0.3961 data_time: 0.0152 memory: 17007 grad_norm: 4.1774 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0137 loss: 4.0137 2022/07/26 20:52:42 - mmengine - INFO - Epoch(train) [9][1480/3757] lr: 9.9513e-03 eta: 2 days, 22:37:58 time: 0.3901 data_time: 0.0155 memory: 17007 grad_norm: 4.1652 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0893 loss: 4.0893 2022/07/26 20:52:50 - mmengine - INFO - Epoch(train) [9][1500/3757] lr: 9.9513e-03 eta: 2 days, 22:37:49 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 4.1567 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1695 loss: 4.1695 2022/07/26 20:52:58 - mmengine - INFO - Epoch(train) [9][1520/3757] lr: 9.9513e-03 eta: 2 days, 22:37:40 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 4.0558 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6455 loss: 3.6455 2022/07/26 20:53:06 - mmengine - INFO - Epoch(train) [9][1540/3757] lr: 9.9513e-03 eta: 2 days, 22:37:31 time: 0.3911 data_time: 0.0150 memory: 17007 grad_norm: 4.1409 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.5828 loss: 3.5828 2022/07/26 20:53:14 - mmengine - INFO - Epoch(train) [9][1560/3757] lr: 9.9513e-03 eta: 2 days, 22:37:22 time: 0.3927 data_time: 0.0166 memory: 17007 grad_norm: 4.1252 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9692 loss: 3.9692 2022/07/26 20:53:22 - mmengine - INFO - Epoch(train) [9][1580/3757] lr: 9.9513e-03 eta: 2 days, 22:37:14 time: 0.3926 data_time: 0.0143 memory: 17007 grad_norm: 4.0818 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8592 loss: 3.8592 2022/07/26 20:53:30 - mmengine - INFO - Epoch(train) [9][1600/3757] lr: 9.9513e-03 eta: 2 days, 22:37:06 time: 0.3946 data_time: 0.0171 memory: 17007 grad_norm: 4.1345 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6481 loss: 3.6481 2022/07/26 20:53:38 - mmengine - INFO - Epoch(train) [9][1620/3757] lr: 9.9513e-03 eta: 2 days, 22:37:00 time: 0.3980 data_time: 0.0149 memory: 17007 grad_norm: 4.1300 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6923 loss: 3.6923 2022/07/26 20:53:45 - mmengine - INFO - Epoch(train) [9][1640/3757] lr: 9.9513e-03 eta: 2 days, 22:36:51 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 4.1792 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8474 loss: 3.8474 2022/07/26 20:53:53 - mmengine - INFO - Epoch(train) [9][1660/3757] lr: 9.9513e-03 eta: 2 days, 22:36:41 time: 0.3908 data_time: 0.0148 memory: 17007 grad_norm: 4.1261 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8818 loss: 3.8818 2022/07/26 20:54:01 - mmengine - INFO - Epoch(train) [9][1680/3757] lr: 9.9513e-03 eta: 2 days, 22:36:37 time: 0.4033 data_time: 0.0151 memory: 17007 grad_norm: 4.0710 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6757 loss: 3.6757 2022/07/26 20:54:09 - mmengine - INFO - Epoch(train) [9][1700/3757] lr: 9.9513e-03 eta: 2 days, 22:36:28 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 4.0105 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7927 loss: 3.7927 2022/07/26 20:54:17 - mmengine - INFO - Epoch(train) [9][1720/3757] lr: 9.9513e-03 eta: 2 days, 22:36:20 time: 0.3922 data_time: 0.0152 memory: 17007 grad_norm: 4.0954 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9281 loss: 3.9281 2022/07/26 20:54:25 - mmengine - INFO - Epoch(train) [9][1740/3757] lr: 9.9513e-03 eta: 2 days, 22:36:11 time: 0.3936 data_time: 0.0164 memory: 17007 grad_norm: 4.0928 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9359 loss: 3.9359 2022/07/26 20:54:33 - mmengine - INFO - Epoch(train) [9][1760/3757] lr: 9.9513e-03 eta: 2 days, 22:36:02 time: 0.3910 data_time: 0.0158 memory: 17007 grad_norm: 3.9542 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7156 loss: 3.7156 2022/07/26 20:54:40 - mmengine - INFO - Epoch(train) [9][1780/3757] lr: 9.9513e-03 eta: 2 days, 22:35:53 time: 0.3902 data_time: 0.0150 memory: 17007 grad_norm: 4.0295 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8953 loss: 3.8953 2022/07/26 20:54:48 - mmengine - INFO - Epoch(train) [9][1800/3757] lr: 9.9513e-03 eta: 2 days, 22:35:44 time: 0.3932 data_time: 0.0166 memory: 17007 grad_norm: 4.1413 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9858 loss: 3.9858 2022/07/26 20:54:56 - mmengine - INFO - Epoch(train) [9][1820/3757] lr: 9.9513e-03 eta: 2 days, 22:35:36 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 4.2329 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6772 loss: 3.6772 2022/07/26 20:55:04 - mmengine - INFO - Epoch(train) [9][1840/3757] lr: 9.9513e-03 eta: 2 days, 22:35:27 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 4.0489 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6936 loss: 3.6936 2022/07/26 20:55:12 - mmengine - INFO - Epoch(train) [9][1860/3757] lr: 9.9513e-03 eta: 2 days, 22:35:18 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 4.1208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.7250 loss: 3.7250 2022/07/26 20:55:20 - mmengine - INFO - Epoch(train) [9][1880/3757] lr: 9.9513e-03 eta: 2 days, 22:35:10 time: 0.3939 data_time: 0.0153 memory: 17007 grad_norm: 4.0604 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.9685 loss: 3.9685 2022/07/26 20:55:28 - mmengine - INFO - Epoch(train) [9][1900/3757] lr: 9.9513e-03 eta: 2 days, 22:35:03 time: 0.3972 data_time: 0.0163 memory: 17007 grad_norm: 4.1599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.7937 loss: 3.7937 2022/07/26 20:55:36 - mmengine - INFO - Epoch(train) [9][1920/3757] lr: 9.9513e-03 eta: 2 days, 22:34:54 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 4.0896 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8689 loss: 3.8689 2022/07/26 20:55:43 - mmengine - INFO - Epoch(train) [9][1940/3757] lr: 9.9513e-03 eta: 2 days, 22:34:45 time: 0.3901 data_time: 0.0145 memory: 17007 grad_norm: 4.1335 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0187 loss: 4.0187 2022/07/26 20:55:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 20:55:51 - mmengine - INFO - Epoch(train) [9][1960/3757] lr: 9.9513e-03 eta: 2 days, 22:34:40 time: 0.4022 data_time: 0.0169 memory: 17007 grad_norm: 4.1070 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5831 loss: 3.5831 2022/07/26 20:55:59 - mmengine - INFO - Epoch(train) [9][1980/3757] lr: 9.9513e-03 eta: 2 days, 22:34:33 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 4.1122 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.9009 loss: 3.9009 2022/07/26 20:56:07 - mmengine - INFO - Epoch(train) [9][2000/3757] lr: 9.9513e-03 eta: 2 days, 22:34:24 time: 0.3936 data_time: 0.0179 memory: 17007 grad_norm: 4.1620 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.8067 loss: 3.8067 2022/07/26 20:56:15 - mmengine - INFO - Epoch(train) [9][2020/3757] lr: 9.9513e-03 eta: 2 days, 22:34:17 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 4.1232 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5618 loss: 3.5618 2022/07/26 20:56:23 - mmengine - INFO - Epoch(train) [9][2040/3757] lr: 9.9513e-03 eta: 2 days, 22:34:07 time: 0.3914 data_time: 0.0163 memory: 17007 grad_norm: 4.1996 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9648 loss: 3.9648 2022/07/26 20:56:31 - mmengine - INFO - Epoch(train) [9][2060/3757] lr: 9.9513e-03 eta: 2 days, 22:33:59 time: 0.3922 data_time: 0.0162 memory: 17007 grad_norm: 4.1257 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2489 loss: 4.2489 2022/07/26 20:56:39 - mmengine - INFO - Epoch(train) [9][2080/3757] lr: 9.9513e-03 eta: 2 days, 22:33:50 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 4.1045 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8026 loss: 3.8026 2022/07/26 20:56:46 - mmengine - INFO - Epoch(train) [9][2100/3757] lr: 9.9513e-03 eta: 2 days, 22:33:41 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 4.1870 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9506 loss: 3.9506 2022/07/26 20:56:54 - mmengine - INFO - Epoch(train) [9][2120/3757] lr: 9.9513e-03 eta: 2 days, 22:33:32 time: 0.3910 data_time: 0.0163 memory: 17007 grad_norm: 4.1784 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8521 loss: 3.8521 2022/07/26 20:57:02 - mmengine - INFO - Epoch(train) [9][2140/3757] lr: 9.9513e-03 eta: 2 days, 22:33:24 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 4.0765 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9820 loss: 3.9820 2022/07/26 20:57:10 - mmengine - INFO - Epoch(train) [9][2160/3757] lr: 9.9513e-03 eta: 2 days, 22:33:15 time: 0.3906 data_time: 0.0159 memory: 17007 grad_norm: 4.0699 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5319 loss: 3.5319 2022/07/26 20:57:18 - mmengine - INFO - Epoch(train) [9][2180/3757] lr: 9.9513e-03 eta: 2 days, 22:33:08 time: 0.3962 data_time: 0.0155 memory: 17007 grad_norm: 4.1572 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7618 loss: 3.7618 2022/07/26 20:57:26 - mmengine - INFO - Epoch(train) [9][2200/3757] lr: 9.9513e-03 eta: 2 days, 22:32:59 time: 0.3930 data_time: 0.0172 memory: 17007 grad_norm: 4.1145 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.6442 loss: 3.6442 2022/07/26 20:57:34 - mmengine - INFO - Epoch(train) [9][2220/3757] lr: 9.9513e-03 eta: 2 days, 22:32:50 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 4.1275 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0066 loss: 4.0066 2022/07/26 20:57:41 - mmengine - INFO - Epoch(train) [9][2240/3757] lr: 9.9513e-03 eta: 2 days, 22:32:42 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 4.2394 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8019 loss: 3.8019 2022/07/26 20:57:49 - mmengine - INFO - Epoch(train) [9][2260/3757] lr: 9.9513e-03 eta: 2 days, 22:32:33 time: 0.3933 data_time: 0.0161 memory: 17007 grad_norm: 4.1294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.7462 loss: 3.7462 2022/07/26 20:57:57 - mmengine - INFO - Epoch(train) [9][2280/3757] lr: 9.9513e-03 eta: 2 days, 22:32:26 time: 0.3951 data_time: 0.0169 memory: 17007 grad_norm: 4.1921 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0964 loss: 4.0964 2022/07/26 20:58:05 - mmengine - INFO - Epoch(train) [9][2300/3757] lr: 9.9513e-03 eta: 2 days, 22:32:17 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 4.1654 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8775 loss: 3.8775 2022/07/26 20:58:13 - mmengine - INFO - Epoch(train) [9][2320/3757] lr: 9.9513e-03 eta: 2 days, 22:32:08 time: 0.3923 data_time: 0.0167 memory: 17007 grad_norm: 4.1855 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7418 loss: 3.7418 2022/07/26 20:58:21 - mmengine - INFO - Epoch(train) [9][2340/3757] lr: 9.9513e-03 eta: 2 days, 22:31:59 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 4.1588 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7096 loss: 3.7096 2022/07/26 20:58:29 - mmengine - INFO - Epoch(train) [9][2360/3757] lr: 9.9513e-03 eta: 2 days, 22:31:50 time: 0.3923 data_time: 0.0170 memory: 17007 grad_norm: 4.2288 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0191 loss: 4.0191 2022/07/26 20:58:36 - mmengine - INFO - Epoch(train) [9][2380/3757] lr: 9.9513e-03 eta: 2 days, 22:31:43 time: 0.3943 data_time: 0.0142 memory: 17007 grad_norm: 4.0942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.9390 loss: 3.9390 2022/07/26 20:58:44 - mmengine - INFO - Epoch(train) [9][2400/3757] lr: 9.9513e-03 eta: 2 days, 22:31:33 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 4.1424 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.1133 loss: 4.1133 2022/07/26 20:58:52 - mmengine - INFO - Epoch(train) [9][2420/3757] lr: 9.9513e-03 eta: 2 days, 22:31:25 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 4.0366 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8875 loss: 3.8875 2022/07/26 20:59:00 - mmengine - INFO - Epoch(train) [9][2440/3757] lr: 9.9513e-03 eta: 2 days, 22:31:18 time: 0.3981 data_time: 0.0161 memory: 17007 grad_norm: 3.9583 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7607 loss: 3.7607 2022/07/26 20:59:08 - mmengine - INFO - Epoch(train) [9][2460/3757] lr: 9.9513e-03 eta: 2 days, 22:31:09 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 3.9792 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7323 loss: 3.7323 2022/07/26 20:59:16 - mmengine - INFO - Epoch(train) [9][2480/3757] lr: 9.9513e-03 eta: 2 days, 22:31:05 time: 0.4024 data_time: 0.0164 memory: 17007 grad_norm: 4.0354 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7121 loss: 3.7121 2022/07/26 20:59:24 - mmengine - INFO - Epoch(train) [9][2500/3757] lr: 9.9513e-03 eta: 2 days, 22:30:55 time: 0.3912 data_time: 0.0153 memory: 17007 grad_norm: 4.0408 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9447 loss: 3.9447 2022/07/26 20:59:32 - mmengine - INFO - Epoch(train) [9][2520/3757] lr: 9.9513e-03 eta: 2 days, 22:30:47 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 4.0850 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.0562 loss: 4.0562 2022/07/26 20:59:40 - mmengine - INFO - Epoch(train) [9][2540/3757] lr: 9.9513e-03 eta: 2 days, 22:30:39 time: 0.3956 data_time: 0.0155 memory: 17007 grad_norm: 4.1015 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8821 loss: 3.8821 2022/07/26 20:59:47 - mmengine - INFO - Epoch(train) [9][2560/3757] lr: 9.9513e-03 eta: 2 days, 22:30:31 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 4.1054 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9045 loss: 3.9045 2022/07/26 20:59:55 - mmengine - INFO - Epoch(train) [9][2580/3757] lr: 9.9513e-03 eta: 2 days, 22:30:26 time: 0.4037 data_time: 0.0155 memory: 17007 grad_norm: 4.1408 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9944 loss: 3.9944 2022/07/26 21:00:03 - mmengine - INFO - Epoch(train) [9][2600/3757] lr: 9.9513e-03 eta: 2 days, 22:30:17 time: 0.3917 data_time: 0.0155 memory: 17007 grad_norm: 4.1723 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6524 loss: 3.6524 2022/07/26 21:00:11 - mmengine - INFO - Epoch(train) [9][2620/3757] lr: 9.9513e-03 eta: 2 days, 22:30:09 time: 0.3921 data_time: 0.0162 memory: 17007 grad_norm: 4.0119 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7036 loss: 3.7036 2022/07/26 21:00:19 - mmengine - INFO - Epoch(train) [9][2640/3757] lr: 9.9513e-03 eta: 2 days, 22:30:03 time: 0.4007 data_time: 0.0175 memory: 17007 grad_norm: 4.0076 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7407 loss: 3.7407 2022/07/26 21:00:27 - mmengine - INFO - Epoch(train) [9][2660/3757] lr: 9.9513e-03 eta: 2 days, 22:29:54 time: 0.3908 data_time: 0.0149 memory: 17007 grad_norm: 4.1686 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8101 loss: 3.8101 2022/07/26 21:00:35 - mmengine - INFO - Epoch(train) [9][2680/3757] lr: 9.9513e-03 eta: 2 days, 22:29:45 time: 0.3918 data_time: 0.0165 memory: 17007 grad_norm: 4.0696 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7976 loss: 3.7976 2022/07/26 21:00:43 - mmengine - INFO - Epoch(train) [9][2700/3757] lr: 9.9513e-03 eta: 2 days, 22:29:36 time: 0.3905 data_time: 0.0155 memory: 17007 grad_norm: 4.2322 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7863 loss: 3.7863 2022/07/26 21:00:51 - mmengine - INFO - Epoch(train) [9][2720/3757] lr: 9.9513e-03 eta: 2 days, 22:29:27 time: 0.3933 data_time: 0.0164 memory: 17007 grad_norm: 4.0333 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.9470 loss: 3.9470 2022/07/26 21:00:58 - mmengine - INFO - Epoch(train) [9][2740/3757] lr: 9.9513e-03 eta: 2 days, 22:29:18 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 4.1387 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1239 loss: 4.1239 2022/07/26 21:01:07 - mmengine - INFO - Epoch(train) [9][2760/3757] lr: 9.9513e-03 eta: 2 days, 22:29:18 time: 0.4149 data_time: 0.0166 memory: 17007 grad_norm: 4.0302 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7931 loss: 3.7931 2022/07/26 21:01:14 - mmengine - INFO - Epoch(train) [9][2780/3757] lr: 9.9513e-03 eta: 2 days, 22:29:09 time: 0.3901 data_time: 0.0140 memory: 17007 grad_norm: 4.0997 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7603 loss: 3.7603 2022/07/26 21:01:22 - mmengine - INFO - Epoch(train) [9][2800/3757] lr: 9.9513e-03 eta: 2 days, 22:29:00 time: 0.3926 data_time: 0.0165 memory: 17007 grad_norm: 4.1632 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8709 loss: 3.8709 2022/07/26 21:01:30 - mmengine - INFO - Epoch(train) [9][2820/3757] lr: 9.9513e-03 eta: 2 days, 22:28:53 time: 0.3962 data_time: 0.0154 memory: 17007 grad_norm: 4.0875 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6995 loss: 3.6995 2022/07/26 21:01:38 - mmengine - INFO - Epoch(train) [9][2840/3757] lr: 9.9513e-03 eta: 2 days, 22:28:45 time: 0.3940 data_time: 0.0177 memory: 17007 grad_norm: 4.1004 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7759 loss: 3.7759 2022/07/26 21:01:46 - mmengine - INFO - Epoch(train) [9][2860/3757] lr: 9.9513e-03 eta: 2 days, 22:28:36 time: 0.3917 data_time: 0.0157 memory: 17007 grad_norm: 4.1837 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6322 loss: 3.6322 2022/07/26 21:01:54 - mmengine - INFO - Epoch(train) [9][2880/3757] lr: 9.9513e-03 eta: 2 days, 22:28:27 time: 0.3924 data_time: 0.0168 memory: 17007 grad_norm: 4.1249 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9063 loss: 3.9063 2022/07/26 21:02:02 - mmengine - INFO - Epoch(train) [9][2900/3757] lr: 9.9513e-03 eta: 2 days, 22:28:18 time: 0.3904 data_time: 0.0149 memory: 17007 grad_norm: 4.0510 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8811 loss: 3.8811 2022/07/26 21:02:09 - mmengine - INFO - Epoch(train) [9][2920/3757] lr: 9.9513e-03 eta: 2 days, 22:28:09 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 4.1653 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5832 loss: 3.5832 2022/07/26 21:02:17 - mmengine - INFO - Epoch(train) [9][2940/3757] lr: 9.9513e-03 eta: 2 days, 22:28:05 time: 0.4037 data_time: 0.0162 memory: 17007 grad_norm: 4.1776 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0759 loss: 4.0759 2022/07/26 21:02:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:02:25 - mmengine - INFO - Epoch(train) [9][2960/3757] lr: 9.9513e-03 eta: 2 days, 22:27:56 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 4.1358 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9135 loss: 3.9135 2022/07/26 21:02:33 - mmengine - INFO - Epoch(train) [9][2980/3757] lr: 9.9513e-03 eta: 2 days, 22:27:46 time: 0.3901 data_time: 0.0131 memory: 17007 grad_norm: 4.0805 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7860 loss: 3.7860 2022/07/26 21:02:41 - mmengine - INFO - Epoch(train) [9][3000/3757] lr: 9.9513e-03 eta: 2 days, 22:27:42 time: 0.4021 data_time: 0.0171 memory: 17007 grad_norm: 4.0963 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7655 loss: 3.7655 2022/07/26 21:02:49 - mmengine - INFO - Epoch(train) [9][3020/3757] lr: 9.9513e-03 eta: 2 days, 22:27:32 time: 0.3906 data_time: 0.0154 memory: 17007 grad_norm: 4.1150 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.9404 loss: 3.9404 2022/07/26 21:02:57 - mmengine - INFO - Epoch(train) [9][3040/3757] lr: 9.9513e-03 eta: 2 days, 22:27:31 time: 0.4107 data_time: 0.0168 memory: 17007 grad_norm: 4.1727 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6985 loss: 3.6985 2022/07/26 21:03:05 - mmengine - INFO - Epoch(train) [9][3060/3757] lr: 9.9513e-03 eta: 2 days, 22:27:21 time: 0.3901 data_time: 0.0151 memory: 17007 grad_norm: 4.0491 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8042 loss: 3.8042 2022/07/26 21:03:13 - mmengine - INFO - Epoch(train) [9][3080/3757] lr: 9.9513e-03 eta: 2 days, 22:27:12 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 4.1581 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.0025 loss: 4.0025 2022/07/26 21:03:21 - mmengine - INFO - Epoch(train) [9][3100/3757] lr: 9.9513e-03 eta: 2 days, 22:27:05 time: 0.3961 data_time: 0.0148 memory: 17007 grad_norm: 4.3443 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7507 loss: 3.7507 2022/07/26 21:03:29 - mmengine - INFO - Epoch(train) [9][3120/3757] lr: 9.9513e-03 eta: 2 days, 22:27:04 time: 0.4118 data_time: 0.0164 memory: 17007 grad_norm: 4.1378 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0104 loss: 4.0104 2022/07/26 21:03:37 - mmengine - INFO - Epoch(train) [9][3140/3757] lr: 9.9513e-03 eta: 2 days, 22:26:54 time: 0.3909 data_time: 0.0140 memory: 17007 grad_norm: 4.0804 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8165 loss: 3.8165 2022/07/26 21:03:45 - mmengine - INFO - Epoch(train) [9][3160/3757] lr: 9.9513e-03 eta: 2 days, 22:26:46 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 4.4403 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9820 loss: 3.9820 2022/07/26 21:03:53 - mmengine - INFO - Epoch(train) [9][3180/3757] lr: 9.9513e-03 eta: 2 days, 22:26:37 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 4.3934 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5648 loss: 3.5648 2022/07/26 21:04:00 - mmengine - INFO - Epoch(train) [9][3200/3757] lr: 9.9513e-03 eta: 2 days, 22:26:29 time: 0.3934 data_time: 0.0168 memory: 17007 grad_norm: 4.3009 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8476 loss: 3.8476 2022/07/26 21:04:08 - mmengine - INFO - Epoch(train) [9][3220/3757] lr: 9.9513e-03 eta: 2 days, 22:26:21 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 4.1816 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6158 loss: 3.6158 2022/07/26 21:04:16 - mmengine - INFO - Epoch(train) [9][3240/3757] lr: 9.9513e-03 eta: 2 days, 22:26:14 time: 0.3959 data_time: 0.0162 memory: 17007 grad_norm: 4.2429 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4987 loss: 3.4987 2022/07/26 21:04:24 - mmengine - INFO - Epoch(train) [9][3260/3757] lr: 9.9513e-03 eta: 2 days, 22:26:04 time: 0.3903 data_time: 0.0153 memory: 17007 grad_norm: 4.2766 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.5406 loss: 3.5406 2022/07/26 21:04:32 - mmengine - INFO - Epoch(train) [9][3280/3757] lr: 9.9513e-03 eta: 2 days, 22:25:56 time: 0.3938 data_time: 0.0168 memory: 17007 grad_norm: 4.2162 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7749 loss: 3.7749 2022/07/26 21:04:40 - mmengine - INFO - Epoch(train) [9][3300/3757] lr: 9.9513e-03 eta: 2 days, 22:25:47 time: 0.3905 data_time: 0.0141 memory: 17007 grad_norm: 4.0904 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8372 loss: 3.8372 2022/07/26 21:04:48 - mmengine - INFO - Epoch(train) [9][3320/3757] lr: 9.9513e-03 eta: 2 days, 22:25:38 time: 0.3922 data_time: 0.0162 memory: 17007 grad_norm: 4.0906 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7822 loss: 3.7822 2022/07/26 21:04:55 - mmengine - INFO - Epoch(train) [9][3340/3757] lr: 9.9513e-03 eta: 2 days, 22:25:29 time: 0.3907 data_time: 0.0147 memory: 17007 grad_norm: 4.2184 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.8378 loss: 3.8378 2022/07/26 21:05:03 - mmengine - INFO - Epoch(train) [9][3360/3757] lr: 9.9513e-03 eta: 2 days, 22:25:20 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 4.1092 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5862 loss: 3.5862 2022/07/26 21:05:11 - mmengine - INFO - Epoch(train) [9][3380/3757] lr: 9.9513e-03 eta: 2 days, 22:25:11 time: 0.3932 data_time: 0.0143 memory: 17007 grad_norm: 4.1721 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9044 loss: 3.9044 2022/07/26 21:05:19 - mmengine - INFO - Epoch(train) [9][3400/3757] lr: 9.9513e-03 eta: 2 days, 22:25:05 time: 0.3978 data_time: 0.0161 memory: 17007 grad_norm: 4.0925 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7190 loss: 3.7190 2022/07/26 21:05:27 - mmengine - INFO - Epoch(train) [9][3420/3757] lr: 9.9513e-03 eta: 2 days, 22:24:56 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 4.0769 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7051 loss: 3.7051 2022/07/26 21:05:35 - mmengine - INFO - Epoch(train) [9][3440/3757] lr: 9.9513e-03 eta: 2 days, 22:24:47 time: 0.3900 data_time: 0.0154 memory: 17007 grad_norm: 4.2401 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 4.0506 loss: 4.0506 2022/07/26 21:05:42 - mmengine - INFO - Epoch(train) [9][3460/3757] lr: 9.9513e-03 eta: 2 days, 22:24:38 time: 0.3915 data_time: 0.0148 memory: 17007 grad_norm: 4.0779 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6552 loss: 3.6552 2022/07/26 21:05:50 - mmengine - INFO - Epoch(train) [9][3480/3757] lr: 9.9513e-03 eta: 2 days, 22:24:30 time: 0.3936 data_time: 0.0171 memory: 17007 grad_norm: 4.0272 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7467 loss: 3.7467 2022/07/26 21:05:58 - mmengine - INFO - Epoch(train) [9][3500/3757] lr: 9.9513e-03 eta: 2 days, 22:24:22 time: 0.3937 data_time: 0.0151 memory: 17007 grad_norm: 4.2121 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8703 loss: 3.8703 2022/07/26 21:06:06 - mmengine - INFO - Epoch(train) [9][3520/3757] lr: 9.9513e-03 eta: 2 days, 22:24:13 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 4.1361 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7226 loss: 3.7226 2022/07/26 21:06:14 - mmengine - INFO - Epoch(train) [9][3540/3757] lr: 9.9513e-03 eta: 2 days, 22:24:03 time: 0.3894 data_time: 0.0146 memory: 17007 grad_norm: 4.1166 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8633 loss: 3.8633 2022/07/26 21:06:22 - mmengine - INFO - Epoch(train) [9][3560/3757] lr: 9.9513e-03 eta: 2 days, 22:23:55 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 4.3218 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8874 loss: 3.8874 2022/07/26 21:06:30 - mmengine - INFO - Epoch(train) [9][3580/3757] lr: 9.9513e-03 eta: 2 days, 22:23:46 time: 0.3931 data_time: 0.0146 memory: 17007 grad_norm: 3.9776 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0436 loss: 4.0436 2022/07/26 21:06:38 - mmengine - INFO - Epoch(train) [9][3600/3757] lr: 9.9513e-03 eta: 2 days, 22:23:40 time: 0.3993 data_time: 0.0171 memory: 17007 grad_norm: 4.1134 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.1307 loss: 4.1307 2022/07/26 21:06:45 - mmengine - INFO - Epoch(train) [9][3620/3757] lr: 9.9513e-03 eta: 2 days, 22:23:31 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 4.0722 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6728 loss: 3.6728 2022/07/26 21:06:53 - mmengine - INFO - Epoch(train) [9][3640/3757] lr: 9.9513e-03 eta: 2 days, 22:23:22 time: 0.3915 data_time: 0.0170 memory: 17007 grad_norm: 4.1030 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8110 loss: 3.8110 2022/07/26 21:07:01 - mmengine - INFO - Epoch(train) [9][3660/3757] lr: 9.9513e-03 eta: 2 days, 22:23:14 time: 0.3930 data_time: 0.0138 memory: 17007 grad_norm: 4.2534 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5877 loss: 3.5877 2022/07/26 21:07:09 - mmengine - INFO - Epoch(train) [9][3680/3757] lr: 9.9513e-03 eta: 2 days, 22:23:06 time: 0.3936 data_time: 0.0173 memory: 17007 grad_norm: 4.0896 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7876 loss: 3.7876 2022/07/26 21:07:17 - mmengine - INFO - Epoch(train) [9][3700/3757] lr: 9.9513e-03 eta: 2 days, 22:22:57 time: 0.3911 data_time: 0.0132 memory: 17007 grad_norm: 4.0800 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0202 loss: 4.0202 2022/07/26 21:07:25 - mmengine - INFO - Epoch(train) [9][3720/3757] lr: 9.9513e-03 eta: 2 days, 22:22:48 time: 0.3928 data_time: 0.0170 memory: 17007 grad_norm: 4.0545 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.9559 loss: 3.9559 2022/07/26 21:07:32 - mmengine - INFO - Epoch(train) [9][3740/3757] lr: 9.9513e-03 eta: 2 days, 22:22:39 time: 0.3913 data_time: 0.0148 memory: 17007 grad_norm: 4.0949 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 4.1383 loss: 4.1383 2022/07/26 21:07:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:07:40 - mmengine - INFO - Epoch(train) [9][3757/3757] lr: 9.9513e-03 eta: 2 days, 22:22:39 time: 0.4223 data_time: 0.0182 memory: 17007 grad_norm: 4.0681 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.8060 loss: 3.8060 2022/07/26 21:07:40 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/07/26 21:07:51 - mmengine - INFO - Epoch(train) [10][20/3757] lr: 9.9384e-03 eta: 2 days, 22:20:36 time: 0.4444 data_time: 0.0680 memory: 17007 grad_norm: 4.2310 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.7495 loss: 3.7495 2022/07/26 21:07:58 - mmengine - INFO - Epoch(train) [10][40/3757] lr: 9.9384e-03 eta: 2 days, 22:20:28 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 3.9617 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0053 loss: 4.0053 2022/07/26 21:08:06 - mmengine - INFO - Epoch(train) [10][60/3757] lr: 9.9384e-03 eta: 2 days, 22:20:20 time: 0.3927 data_time: 0.0166 memory: 17007 grad_norm: 3.9828 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8276 loss: 3.8276 2022/07/26 21:08:14 - mmengine - INFO - Epoch(train) [10][80/3757] lr: 9.9384e-03 eta: 2 days, 22:20:11 time: 0.3904 data_time: 0.0152 memory: 17007 grad_norm: 4.0923 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9308 loss: 3.9308 2022/07/26 21:08:22 - mmengine - INFO - Epoch(train) [10][100/3757] lr: 9.9384e-03 eta: 2 days, 22:20:02 time: 0.3930 data_time: 0.0146 memory: 17007 grad_norm: 4.1542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.7898 loss: 3.7898 2022/07/26 21:08:30 - mmengine - INFO - Epoch(train) [10][120/3757] lr: 9.9384e-03 eta: 2 days, 22:19:54 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 4.1850 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8934 loss: 3.8934 2022/07/26 21:08:38 - mmengine - INFO - Epoch(train) [10][140/3757] lr: 9.9384e-03 eta: 2 days, 22:19:44 time: 0.3899 data_time: 0.0146 memory: 17007 grad_norm: 4.1960 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8335 loss: 3.8335 2022/07/26 21:08:45 - mmengine - INFO - Epoch(train) [10][160/3757] lr: 9.9384e-03 eta: 2 days, 22:19:35 time: 0.3902 data_time: 0.0157 memory: 17007 grad_norm: 4.2725 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5747 loss: 3.5747 2022/07/26 21:08:53 - mmengine - INFO - Epoch(train) [10][180/3757] lr: 9.9384e-03 eta: 2 days, 22:19:26 time: 0.3907 data_time: 0.0149 memory: 17007 grad_norm: 4.1526 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5387 loss: 3.5387 2022/07/26 21:08:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:09:01 - mmengine - INFO - Epoch(train) [10][200/3757] lr: 9.9384e-03 eta: 2 days, 22:19:17 time: 0.3913 data_time: 0.0162 memory: 17007 grad_norm: 4.2906 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6988 loss: 3.6988 2022/07/26 21:09:09 - mmengine - INFO - Epoch(train) [10][220/3757] lr: 9.9384e-03 eta: 2 days, 22:19:07 time: 0.3906 data_time: 0.0150 memory: 17007 grad_norm: 4.0724 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6836 loss: 3.6836 2022/07/26 21:09:17 - mmengine - INFO - Epoch(train) [10][240/3757] lr: 9.9384e-03 eta: 2 days, 22:18:59 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 4.1914 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.8643 loss: 3.8643 2022/07/26 21:09:25 - mmengine - INFO - Epoch(train) [10][260/3757] lr: 9.9384e-03 eta: 2 days, 22:18:50 time: 0.3905 data_time: 0.0135 memory: 17007 grad_norm: 4.2217 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6589 loss: 3.6589 2022/07/26 21:09:32 - mmengine - INFO - Epoch(train) [10][280/3757] lr: 9.9384e-03 eta: 2 days, 22:18:41 time: 0.3917 data_time: 0.0161 memory: 17007 grad_norm: 4.2006 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7043 loss: 3.7043 2022/07/26 21:09:40 - mmengine - INFO - Epoch(train) [10][300/3757] lr: 9.9384e-03 eta: 2 days, 22:18:32 time: 0.3898 data_time: 0.0150 memory: 17007 grad_norm: 4.1737 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7079 loss: 3.7079 2022/07/26 21:09:48 - mmengine - INFO - Epoch(train) [10][320/3757] lr: 9.9384e-03 eta: 2 days, 22:18:24 time: 0.3936 data_time: 0.0169 memory: 17007 grad_norm: 4.1795 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8387 loss: 3.8387 2022/07/26 21:09:56 - mmengine - INFO - Epoch(train) [10][340/3757] lr: 9.9384e-03 eta: 2 days, 22:18:15 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 4.1424 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7440 loss: 3.7440 2022/07/26 21:10:04 - mmengine - INFO - Epoch(train) [10][360/3757] lr: 9.9384e-03 eta: 2 days, 22:18:05 time: 0.3902 data_time: 0.0156 memory: 17007 grad_norm: 4.2794 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.8934 loss: 3.8934 2022/07/26 21:10:12 - mmengine - INFO - Epoch(train) [10][380/3757] lr: 9.9384e-03 eta: 2 days, 22:17:57 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 4.1059 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.8007 loss: 3.8007 2022/07/26 21:10:19 - mmengine - INFO - Epoch(train) [10][400/3757] lr: 9.9384e-03 eta: 2 days, 22:17:48 time: 0.3917 data_time: 0.0158 memory: 17007 grad_norm: 4.2021 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7346 loss: 3.7346 2022/07/26 21:10:27 - mmengine - INFO - Epoch(train) [10][420/3757] lr: 9.9384e-03 eta: 2 days, 22:17:40 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 4.1808 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7155 loss: 3.7155 2022/07/26 21:10:35 - mmengine - INFO - Epoch(train) [10][440/3757] lr: 9.9384e-03 eta: 2 days, 22:17:30 time: 0.3898 data_time: 0.0144 memory: 17007 grad_norm: 4.1032 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5781 loss: 3.5781 2022/07/26 21:10:43 - mmengine - INFO - Epoch(train) [10][460/3757] lr: 9.9384e-03 eta: 2 days, 22:17:23 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 4.1565 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8022 loss: 3.8022 2022/07/26 21:10:51 - mmengine - INFO - Epoch(train) [10][480/3757] lr: 9.9384e-03 eta: 2 days, 22:17:20 time: 0.4071 data_time: 0.0164 memory: 17007 grad_norm: 4.1578 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9500 loss: 3.9500 2022/07/26 21:10:59 - mmengine - INFO - Epoch(train) [10][500/3757] lr: 9.9384e-03 eta: 2 days, 22:17:11 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 4.1221 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5740 loss: 3.5740 2022/07/26 21:11:07 - mmengine - INFO - Epoch(train) [10][520/3757] lr: 9.9384e-03 eta: 2 days, 22:17:09 time: 0.4087 data_time: 0.0169 memory: 17007 grad_norm: 4.1530 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9571 loss: 3.9571 2022/07/26 21:11:15 - mmengine - INFO - Epoch(train) [10][540/3757] lr: 9.9384e-03 eta: 2 days, 22:16:59 time: 0.3899 data_time: 0.0145 memory: 17007 grad_norm: 4.0273 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8033 loss: 3.8033 2022/07/26 21:11:23 - mmengine - INFO - Epoch(train) [10][560/3757] lr: 9.9384e-03 eta: 2 days, 22:16:53 time: 0.3999 data_time: 0.0160 memory: 17007 grad_norm: 4.1125 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7421 loss: 3.7421 2022/07/26 21:11:31 - mmengine - INFO - Epoch(train) [10][580/3757] lr: 9.9384e-03 eta: 2 days, 22:16:46 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 4.1526 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8264 loss: 3.8264 2022/07/26 21:11:39 - mmengine - INFO - Epoch(train) [10][600/3757] lr: 9.9384e-03 eta: 2 days, 22:16:38 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 4.2474 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6019 loss: 3.6019 2022/07/26 21:11:47 - mmengine - INFO - Epoch(train) [10][620/3757] lr: 9.9384e-03 eta: 2 days, 22:16:28 time: 0.3901 data_time: 0.0154 memory: 17007 grad_norm: 4.2619 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7460 loss: 3.7460 2022/07/26 21:11:54 - mmengine - INFO - Epoch(train) [10][640/3757] lr: 9.9384e-03 eta: 2 days, 22:16:19 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 4.1505 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7777 loss: 3.7777 2022/07/26 21:12:02 - mmengine - INFO - Epoch(train) [10][660/3757] lr: 9.9384e-03 eta: 2 days, 22:16:11 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 4.2678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.7850 loss: 3.7850 2022/07/26 21:12:10 - mmengine - INFO - Epoch(train) [10][680/3757] lr: 9.9384e-03 eta: 2 days, 22:16:02 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 4.2869 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7684 loss: 3.7684 2022/07/26 21:12:18 - mmengine - INFO - Epoch(train) [10][700/3757] lr: 9.9384e-03 eta: 2 days, 22:15:54 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 4.3307 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7353 loss: 3.7353 2022/07/26 21:12:26 - mmengine - INFO - Epoch(train) [10][720/3757] lr: 9.9384e-03 eta: 2 days, 22:15:45 time: 0.3912 data_time: 0.0161 memory: 17007 grad_norm: 4.2509 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7680 loss: 3.7680 2022/07/26 21:12:34 - mmengine - INFO - Epoch(train) [10][740/3757] lr: 9.9384e-03 eta: 2 days, 22:15:37 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 4.1641 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8585 loss: 3.8585 2022/07/26 21:12:41 - mmengine - INFO - Epoch(train) [10][760/3757] lr: 9.9384e-03 eta: 2 days, 22:15:28 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 4.0403 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3489 loss: 3.3489 2022/07/26 21:12:49 - mmengine - INFO - Epoch(train) [10][780/3757] lr: 9.9384e-03 eta: 2 days, 22:15:21 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 4.1786 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5295 loss: 3.5295 2022/07/26 21:12:57 - mmengine - INFO - Epoch(train) [10][800/3757] lr: 9.9384e-03 eta: 2 days, 22:15:12 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 4.1786 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6481 loss: 3.6481 2022/07/26 21:13:05 - mmengine - INFO - Epoch(train) [10][820/3757] lr: 9.9384e-03 eta: 2 days, 22:15:03 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 4.0970 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9061 loss: 3.9061 2022/07/26 21:13:13 - mmengine - INFO - Epoch(train) [10][840/3757] lr: 9.9384e-03 eta: 2 days, 22:14:56 time: 0.3971 data_time: 0.0157 memory: 17007 grad_norm: 4.1718 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.7401 loss: 3.7401 2022/07/26 21:13:21 - mmengine - INFO - Epoch(train) [10][860/3757] lr: 9.9384e-03 eta: 2 days, 22:14:48 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 4.3772 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7049 loss: 3.7049 2022/07/26 21:13:29 - mmengine - INFO - Epoch(train) [10][880/3757] lr: 9.9384e-03 eta: 2 days, 22:14:40 time: 0.3936 data_time: 0.0169 memory: 17007 grad_norm: 4.3678 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7856 loss: 3.7856 2022/07/26 21:13:37 - mmengine - INFO - Epoch(train) [10][900/3757] lr: 9.9384e-03 eta: 2 days, 22:14:31 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 4.4237 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6012 loss: 3.6012 2022/07/26 21:13:44 - mmengine - INFO - Epoch(train) [10][920/3757] lr: 9.9384e-03 eta: 2 days, 22:14:22 time: 0.3905 data_time: 0.0146 memory: 17007 grad_norm: 5.1043 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7438 loss: 3.7438 2022/07/26 21:13:52 - mmengine - INFO - Epoch(train) [10][940/3757] lr: 9.9384e-03 eta: 2 days, 22:14:13 time: 0.3909 data_time: 0.0159 memory: 17007 grad_norm: 4.4349 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7233 loss: 3.7233 2022/07/26 21:14:00 - mmengine - INFO - Epoch(train) [10][960/3757] lr: 9.9384e-03 eta: 2 days, 22:14:04 time: 0.3904 data_time: 0.0153 memory: 17007 grad_norm: 4.2927 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7635 loss: 3.7635 2022/07/26 21:14:08 - mmengine - INFO - Epoch(train) [10][980/3757] lr: 9.9384e-03 eta: 2 days, 22:13:55 time: 0.3932 data_time: 0.0169 memory: 17007 grad_norm: 4.4765 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9565 loss: 3.9565 2022/07/26 21:14:16 - mmengine - INFO - Epoch(train) [10][1000/3757] lr: 9.9384e-03 eta: 2 days, 22:13:46 time: 0.3899 data_time: 0.0155 memory: 17007 grad_norm: 4.5222 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.9574 loss: 3.9574 2022/07/26 21:14:24 - mmengine - INFO - Epoch(train) [10][1020/3757] lr: 9.9384e-03 eta: 2 days, 22:13:39 time: 0.3964 data_time: 0.0154 memory: 17007 grad_norm: 4.4725 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8748 loss: 3.8748 2022/07/26 21:14:32 - mmengine - INFO - Epoch(train) [10][1040/3757] lr: 9.9384e-03 eta: 2 days, 22:13:33 time: 0.3987 data_time: 0.0166 memory: 17007 grad_norm: 4.8862 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6991 loss: 3.6991 2022/07/26 21:14:39 - mmengine - INFO - Epoch(train) [10][1060/3757] lr: 9.9384e-03 eta: 2 days, 22:13:24 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 4.5871 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7407 loss: 3.7407 2022/07/26 21:14:47 - mmengine - INFO - Epoch(train) [10][1080/3757] lr: 9.9384e-03 eta: 2 days, 22:13:20 time: 0.4034 data_time: 0.0178 memory: 17007 grad_norm: 4.3297 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6064 loss: 3.6064 2022/07/26 21:14:55 - mmengine - INFO - Epoch(train) [10][1100/3757] lr: 9.9384e-03 eta: 2 days, 22:13:11 time: 0.3911 data_time: 0.0145 memory: 17007 grad_norm: 4.5838 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9307 loss: 3.9307 2022/07/26 21:15:03 - mmengine - INFO - Epoch(train) [10][1120/3757] lr: 9.9384e-03 eta: 2 days, 22:13:04 time: 0.3961 data_time: 0.0150 memory: 17007 grad_norm: 4.6540 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8842 loss: 3.8842 2022/07/26 21:15:11 - mmengine - INFO - Epoch(train) [10][1140/3757] lr: 9.9384e-03 eta: 2 days, 22:12:55 time: 0.3929 data_time: 0.0163 memory: 17007 grad_norm: 4.5188 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8806 loss: 3.8806 2022/07/26 21:15:19 - mmengine - INFO - Epoch(train) [10][1160/3757] lr: 9.9384e-03 eta: 2 days, 22:12:48 time: 0.3950 data_time: 0.0149 memory: 17007 grad_norm: 4.3280 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6383 loss: 3.6383 2022/07/26 21:15:27 - mmengine - INFO - Epoch(train) [10][1180/3757] lr: 9.9384e-03 eta: 2 days, 22:12:40 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 4.3008 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4812 loss: 3.4812 2022/07/26 21:15:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:15:35 - mmengine - INFO - Epoch(train) [10][1200/3757] lr: 9.9384e-03 eta: 2 days, 22:12:30 time: 0.3891 data_time: 0.0150 memory: 17007 grad_norm: 4.2892 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8273 loss: 3.8273 2022/07/26 21:15:42 - mmengine - INFO - Epoch(train) [10][1220/3757] lr: 9.9384e-03 eta: 2 days, 22:12:22 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 4.3223 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8427 loss: 3.8427 2022/07/26 21:15:51 - mmengine - INFO - Epoch(train) [10][1240/3757] lr: 9.9384e-03 eta: 2 days, 22:12:17 time: 0.4028 data_time: 0.0173 memory: 17007 grad_norm: 4.3271 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5893 loss: 3.5893 2022/07/26 21:15:58 - mmengine - INFO - Epoch(train) [10][1260/3757] lr: 9.9384e-03 eta: 2 days, 22:12:09 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 4.5221 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7099 loss: 3.7099 2022/07/26 21:16:06 - mmengine - INFO - Epoch(train) [10][1280/3757] lr: 9.9384e-03 eta: 2 days, 22:11:59 time: 0.3906 data_time: 0.0147 memory: 17007 grad_norm: 4.4397 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8085 loss: 3.8085 2022/07/26 21:16:14 - mmengine - INFO - Epoch(train) [10][1300/3757] lr: 9.9384e-03 eta: 2 days, 22:11:53 time: 0.3970 data_time: 0.0157 memory: 17007 grad_norm: 4.3590 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6688 loss: 3.6688 2022/07/26 21:16:22 - mmengine - INFO - Epoch(train) [10][1320/3757] lr: 9.9384e-03 eta: 2 days, 22:11:45 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 4.1609 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7598 loss: 3.7598 2022/07/26 21:16:30 - mmengine - INFO - Epoch(train) [10][1340/3757] lr: 9.9384e-03 eta: 2 days, 22:11:36 time: 0.3917 data_time: 0.0158 memory: 17007 grad_norm: 4.3316 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4923 loss: 3.4923 2022/07/26 21:16:38 - mmengine - INFO - Epoch(train) [10][1360/3757] lr: 9.9384e-03 eta: 2 days, 22:11:28 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 4.3283 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6214 loss: 3.6214 2022/07/26 21:16:46 - mmengine - INFO - Epoch(train) [10][1380/3757] lr: 9.9384e-03 eta: 2 days, 22:11:19 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 4.3491 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6795 loss: 3.6795 2022/07/26 21:16:53 - mmengine - INFO - Epoch(train) [10][1400/3757] lr: 9.9384e-03 eta: 2 days, 22:11:10 time: 0.3914 data_time: 0.0162 memory: 17007 grad_norm: 4.3547 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8407 loss: 3.8407 2022/07/26 21:17:01 - mmengine - INFO - Epoch(train) [10][1420/3757] lr: 9.9384e-03 eta: 2 days, 22:11:05 time: 0.4026 data_time: 0.0153 memory: 17007 grad_norm: 4.1764 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7420 loss: 3.7420 2022/07/26 21:17:09 - mmengine - INFO - Epoch(train) [10][1440/3757] lr: 9.9384e-03 eta: 2 days, 22:10:57 time: 0.3933 data_time: 0.0172 memory: 17007 grad_norm: 4.2238 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6571 loss: 3.6571 2022/07/26 21:17:17 - mmengine - INFO - Epoch(train) [10][1460/3757] lr: 9.9384e-03 eta: 2 days, 22:10:50 time: 0.3959 data_time: 0.0160 memory: 17007 grad_norm: 4.2554 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7127 loss: 3.7127 2022/07/26 21:17:25 - mmengine - INFO - Epoch(train) [10][1480/3757] lr: 9.9384e-03 eta: 2 days, 22:10:41 time: 0.3909 data_time: 0.0153 memory: 17007 grad_norm: 4.2192 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8076 loss: 3.8076 2022/07/26 21:17:33 - mmengine - INFO - Epoch(train) [10][1500/3757] lr: 9.9384e-03 eta: 2 days, 22:10:32 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 4.2810 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8383 loss: 3.8383 2022/07/26 21:17:41 - mmengine - INFO - Epoch(train) [10][1520/3757] lr: 9.9384e-03 eta: 2 days, 22:10:24 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 4.4050 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9067 loss: 3.9067 2022/07/26 21:17:49 - mmengine - INFO - Epoch(train) [10][1540/3757] lr: 9.9384e-03 eta: 2 days, 22:10:16 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 4.5013 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8923 loss: 3.8923 2022/07/26 21:17:57 - mmengine - INFO - Epoch(train) [10][1560/3757] lr: 9.9384e-03 eta: 2 days, 22:10:07 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 4.3841 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6923 loss: 3.6923 2022/07/26 21:18:04 - mmengine - INFO - Epoch(train) [10][1580/3757] lr: 9.9384e-03 eta: 2 days, 22:09:59 time: 0.3920 data_time: 0.0166 memory: 17007 grad_norm: 4.5805 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9990 loss: 3.9990 2022/07/26 21:18:12 - mmengine - INFO - Epoch(train) [10][1600/3757] lr: 9.9384e-03 eta: 2 days, 22:09:55 time: 0.4051 data_time: 0.0171 memory: 17007 grad_norm: 4.3935 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0364 loss: 4.0364 2022/07/26 21:18:20 - mmengine - INFO - Epoch(train) [10][1620/3757] lr: 9.9384e-03 eta: 2 days, 22:09:46 time: 0.3916 data_time: 0.0153 memory: 17007 grad_norm: 4.2487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6345 loss: 3.6345 2022/07/26 21:18:28 - mmengine - INFO - Epoch(train) [10][1640/3757] lr: 9.9384e-03 eta: 2 days, 22:09:37 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 4.2837 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7260 loss: 3.7260 2022/07/26 21:18:36 - mmengine - INFO - Epoch(train) [10][1660/3757] lr: 9.9384e-03 eta: 2 days, 22:09:28 time: 0.3907 data_time: 0.0155 memory: 17007 grad_norm: 4.3464 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0335 loss: 4.0335 2022/07/26 21:18:44 - mmengine - INFO - Epoch(train) [10][1680/3757] lr: 9.9384e-03 eta: 2 days, 22:09:19 time: 0.3921 data_time: 0.0151 memory: 17007 grad_norm: 4.4461 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0770 loss: 4.0770 2022/07/26 21:18:52 - mmengine - INFO - Epoch(train) [10][1700/3757] lr: 9.9384e-03 eta: 2 days, 22:09:10 time: 0.3910 data_time: 0.0157 memory: 17007 grad_norm: 4.5164 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6786 loss: 3.6786 2022/07/26 21:18:59 - mmengine - INFO - Epoch(train) [10][1720/3757] lr: 9.9384e-03 eta: 2 days, 22:09:01 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 4.3648 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7970 loss: 3.7970 2022/07/26 21:19:07 - mmengine - INFO - Epoch(train) [10][1740/3757] lr: 9.9384e-03 eta: 2 days, 22:08:53 time: 0.3918 data_time: 0.0163 memory: 17007 grad_norm: 4.5019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5175 loss: 3.5175 2022/07/26 21:19:15 - mmengine - INFO - Epoch(train) [10][1760/3757] lr: 9.9384e-03 eta: 2 days, 22:08:44 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 4.3474 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5732 loss: 3.5732 2022/07/26 21:19:23 - mmengine - INFO - Epoch(train) [10][1780/3757] lr: 9.9384e-03 eta: 2 days, 22:08:35 time: 0.3912 data_time: 0.0142 memory: 17007 grad_norm: 4.2355 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7145 loss: 3.7145 2022/07/26 21:19:31 - mmengine - INFO - Epoch(train) [10][1800/3757] lr: 9.9384e-03 eta: 2 days, 22:08:27 time: 0.3920 data_time: 0.0162 memory: 17007 grad_norm: 4.3273 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7879 loss: 3.7879 2022/07/26 21:19:39 - mmengine - INFO - Epoch(train) [10][1820/3757] lr: 9.9384e-03 eta: 2 days, 22:08:18 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 4.2264 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9261 loss: 3.9261 2022/07/26 21:19:46 - mmengine - INFO - Epoch(train) [10][1840/3757] lr: 9.9384e-03 eta: 2 days, 22:08:09 time: 0.3909 data_time: 0.0151 memory: 17007 grad_norm: 4.6752 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5482 loss: 3.5482 2022/07/26 21:19:54 - mmengine - INFO - Epoch(train) [10][1860/3757] lr: 9.9384e-03 eta: 2 days, 22:08:00 time: 0.3910 data_time: 0.0152 memory: 17007 grad_norm: 4.4327 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5179 loss: 3.5179 2022/07/26 21:20:03 - mmengine - INFO - Epoch(train) [10][1880/3757] lr: 9.9384e-03 eta: 2 days, 22:08:00 time: 0.4181 data_time: 0.0161 memory: 17007 grad_norm: 4.2230 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6671 loss: 3.6671 2022/07/26 21:20:10 - mmengine - INFO - Epoch(train) [10][1900/3757] lr: 9.9384e-03 eta: 2 days, 22:07:52 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 4.2717 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.7039 loss: 3.7039 2022/07/26 21:20:18 - mmengine - INFO - Epoch(train) [10][1920/3757] lr: 9.9384e-03 eta: 2 days, 22:07:43 time: 0.3923 data_time: 0.0163 memory: 17007 grad_norm: 4.1343 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8050 loss: 3.8050 2022/07/26 21:20:26 - mmengine - INFO - Epoch(train) [10][1940/3757] lr: 9.9384e-03 eta: 2 days, 22:07:34 time: 0.3895 data_time: 0.0147 memory: 17007 grad_norm: 4.2304 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4846 loss: 3.4846 2022/07/26 21:20:34 - mmengine - INFO - Epoch(train) [10][1960/3757] lr: 9.9384e-03 eta: 2 days, 22:07:25 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 4.3281 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7186 loss: 3.7186 2022/07/26 21:20:42 - mmengine - INFO - Epoch(train) [10][1980/3757] lr: 9.9384e-03 eta: 2 days, 22:07:17 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 4.4657 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.7424 loss: 3.7424 2022/07/26 21:20:50 - mmengine - INFO - Epoch(train) [10][2000/3757] lr: 9.9384e-03 eta: 2 days, 22:07:09 time: 0.3919 data_time: 0.0156 memory: 17007 grad_norm: 4.7032 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8565 loss: 3.8565 2022/07/26 21:20:58 - mmengine - INFO - Epoch(train) [10][2020/3757] lr: 9.9384e-03 eta: 2 days, 22:07:03 time: 0.4003 data_time: 0.0148 memory: 17007 grad_norm: 4.2700 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7379 loss: 3.7379 2022/07/26 21:21:05 - mmengine - INFO - Epoch(train) [10][2040/3757] lr: 9.9384e-03 eta: 2 days, 22:06:54 time: 0.3901 data_time: 0.0149 memory: 17007 grad_norm: 4.4356 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.7195 loss: 3.7195 2022/07/26 21:21:13 - mmengine - INFO - Epoch(train) [10][2060/3757] lr: 9.9384e-03 eta: 2 days, 22:06:45 time: 0.3914 data_time: 0.0163 memory: 17007 grad_norm: 4.4556 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5716 loss: 3.5716 2022/07/26 21:21:21 - mmengine - INFO - Epoch(train) [10][2080/3757] lr: 9.9384e-03 eta: 2 days, 22:06:37 time: 0.3953 data_time: 0.0153 memory: 17007 grad_norm: 4.3544 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0600 loss: 4.0600 2022/07/26 21:21:29 - mmengine - INFO - Epoch(train) [10][2100/3757] lr: 9.9384e-03 eta: 2 days, 22:06:29 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 4.3820 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1200 loss: 4.1200 2022/07/26 21:21:37 - mmengine - INFO - Epoch(train) [10][2120/3757] lr: 9.9384e-03 eta: 2 days, 22:06:20 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 4.2075 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.8355 loss: 3.8355 2022/07/26 21:21:45 - mmengine - INFO - Epoch(train) [10][2140/3757] lr: 9.9384e-03 eta: 2 days, 22:06:16 time: 0.4036 data_time: 0.0133 memory: 17007 grad_norm: 4.1674 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.7281 loss: 3.7281 2022/07/26 21:21:53 - mmengine - INFO - Epoch(train) [10][2160/3757] lr: 9.9384e-03 eta: 2 days, 22:06:07 time: 0.3915 data_time: 0.0157 memory: 17007 grad_norm: 4.2022 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7951 loss: 3.7951 2022/07/26 21:22:01 - mmengine - INFO - Epoch(train) [10][2180/3757] lr: 9.9384e-03 eta: 2 days, 22:06:02 time: 0.4032 data_time: 0.0148 memory: 17007 grad_norm: 4.2243 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.8217 loss: 3.8217 2022/07/26 21:22:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:22:09 - mmengine - INFO - Epoch(train) [10][2200/3757] lr: 9.9384e-03 eta: 2 days, 22:05:53 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 4.2273 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7116 loss: 3.7116 2022/07/26 21:22:17 - mmengine - INFO - Epoch(train) [10][2220/3757] lr: 9.9384e-03 eta: 2 days, 22:05:45 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 4.2946 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8220 loss: 3.8220 2022/07/26 21:22:24 - mmengine - INFO - Epoch(train) [10][2240/3757] lr: 9.9384e-03 eta: 2 days, 22:05:36 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 4.3835 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5446 loss: 3.5446 2022/07/26 21:22:32 - mmengine - INFO - Epoch(train) [10][2260/3757] lr: 9.9384e-03 eta: 2 days, 22:05:28 time: 0.3917 data_time: 0.0163 memory: 17007 grad_norm: 4.3088 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5105 loss: 3.5105 2022/07/26 21:22:40 - mmengine - INFO - Epoch(train) [10][2280/3757] lr: 9.9384e-03 eta: 2 days, 22:05:19 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 4.4581 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8723 loss: 3.8723 2022/07/26 21:22:48 - mmengine - INFO - Epoch(train) [10][2300/3757] lr: 9.9384e-03 eta: 2 days, 22:05:10 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 4.2118 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6061 loss: 3.6061 2022/07/26 21:22:56 - mmengine - INFO - Epoch(train) [10][2320/3757] lr: 9.9384e-03 eta: 2 days, 22:05:02 time: 0.3916 data_time: 0.0166 memory: 17007 grad_norm: 4.1791 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7511 loss: 3.7511 2022/07/26 21:23:04 - mmengine - INFO - Epoch(train) [10][2340/3757] lr: 9.9384e-03 eta: 2 days, 22:04:53 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 4.2675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.4377 loss: 3.4377 2022/07/26 21:23:12 - mmengine - INFO - Epoch(train) [10][2360/3757] lr: 9.9384e-03 eta: 2 days, 22:04:49 time: 0.4057 data_time: 0.0157 memory: 17007 grad_norm: 4.4454 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8588 loss: 3.8588 2022/07/26 21:23:20 - mmengine - INFO - Epoch(train) [10][2380/3757] lr: 9.9384e-03 eta: 2 days, 22:04:40 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 4.2647 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5700 loss: 3.5700 2022/07/26 21:23:27 - mmengine - INFO - Epoch(train) [10][2400/3757] lr: 9.9384e-03 eta: 2 days, 22:04:32 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 4.3942 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6328 loss: 3.6328 2022/07/26 21:23:35 - mmengine - INFO - Epoch(train) [10][2420/3757] lr: 9.9384e-03 eta: 2 days, 22:04:23 time: 0.3913 data_time: 0.0137 memory: 17007 grad_norm: 4.2928 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8692 loss: 3.8692 2022/07/26 21:23:43 - mmengine - INFO - Epoch(train) [10][2440/3757] lr: 9.9384e-03 eta: 2 days, 22:04:16 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 4.2362 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8332 loss: 3.8332 2022/07/26 21:23:51 - mmengine - INFO - Epoch(train) [10][2460/3757] lr: 9.9384e-03 eta: 2 days, 22:04:06 time: 0.3905 data_time: 0.0155 memory: 17007 grad_norm: 4.1943 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5814 loss: 3.5814 2022/07/26 21:23:59 - mmengine - INFO - Epoch(train) [10][2480/3757] lr: 9.9384e-03 eta: 2 days, 22:04:02 time: 0.4045 data_time: 0.0150 memory: 17007 grad_norm: 4.4002 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9817 loss: 3.9817 2022/07/26 21:24:07 - mmengine - INFO - Epoch(train) [10][2500/3757] lr: 9.9384e-03 eta: 2 days, 22:03:53 time: 0.3907 data_time: 0.0146 memory: 17007 grad_norm: 4.3348 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8837 loss: 3.8837 2022/07/26 21:24:15 - mmengine - INFO - Epoch(train) [10][2520/3757] lr: 9.9384e-03 eta: 2 days, 22:03:46 time: 0.3958 data_time: 0.0161 memory: 17007 grad_norm: 4.2519 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6013 loss: 3.6013 2022/07/26 21:24:23 - mmengine - INFO - Epoch(train) [10][2540/3757] lr: 9.9384e-03 eta: 2 days, 22:03:36 time: 0.3899 data_time: 0.0155 memory: 17007 grad_norm: 4.1687 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7945 loss: 3.7945 2022/07/26 21:24:30 - mmengine - INFO - Epoch(train) [10][2560/3757] lr: 9.9384e-03 eta: 2 days, 22:03:29 time: 0.3955 data_time: 0.0170 memory: 17007 grad_norm: 4.2109 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7753 loss: 3.7753 2022/07/26 21:24:38 - mmengine - INFO - Epoch(train) [10][2580/3757] lr: 9.9384e-03 eta: 2 days, 22:03:20 time: 0.3911 data_time: 0.0147 memory: 17007 grad_norm: 4.2275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.6773 loss: 3.6773 2022/07/26 21:24:46 - mmengine - INFO - Epoch(train) [10][2600/3757] lr: 9.9384e-03 eta: 2 days, 22:03:11 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 4.3402 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6596 loss: 3.6596 2022/07/26 21:24:54 - mmengine - INFO - Epoch(train) [10][2620/3757] lr: 9.9384e-03 eta: 2 days, 22:03:03 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 4.2466 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8865 loss: 3.8865 2022/07/26 21:25:02 - mmengine - INFO - Epoch(train) [10][2640/3757] lr: 9.9384e-03 eta: 2 days, 22:02:55 time: 0.3915 data_time: 0.0153 memory: 17007 grad_norm: 4.1864 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6893 loss: 3.6893 2022/07/26 21:25:10 - mmengine - INFO - Epoch(train) [10][2660/3757] lr: 9.9384e-03 eta: 2 days, 22:02:47 time: 0.3937 data_time: 0.0170 memory: 17007 grad_norm: 4.2084 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7081 loss: 3.7081 2022/07/26 21:25:18 - mmengine - INFO - Epoch(train) [10][2680/3757] lr: 9.9384e-03 eta: 2 days, 22:02:39 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 4.2806 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5768 loss: 3.5768 2022/07/26 21:25:25 - mmengine - INFO - Epoch(train) [10][2700/3757] lr: 9.9384e-03 eta: 2 days, 22:02:29 time: 0.3901 data_time: 0.0149 memory: 17007 grad_norm: 4.3625 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.4347 loss: 3.4347 2022/07/26 21:25:33 - mmengine - INFO - Epoch(train) [10][2720/3757] lr: 9.9384e-03 eta: 2 days, 22:02:21 time: 0.3944 data_time: 0.0162 memory: 17007 grad_norm: 4.2233 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.6742 loss: 3.6742 2022/07/26 21:25:41 - mmengine - INFO - Epoch(train) [10][2740/3757] lr: 9.9384e-03 eta: 2 days, 22:02:12 time: 0.3901 data_time: 0.0143 memory: 17007 grad_norm: 4.2771 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8869 loss: 3.8869 2022/07/26 21:25:49 - mmengine - INFO - Epoch(train) [10][2760/3757] lr: 9.9384e-03 eta: 2 days, 22:02:04 time: 0.3921 data_time: 0.0151 memory: 17007 grad_norm: 4.4123 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6704 loss: 3.6704 2022/07/26 21:25:57 - mmengine - INFO - Epoch(train) [10][2780/3757] lr: 9.9384e-03 eta: 2 days, 22:01:55 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 4.6238 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6439 loss: 3.6439 2022/07/26 21:26:05 - mmengine - INFO - Epoch(train) [10][2800/3757] lr: 9.9384e-03 eta: 2 days, 22:01:46 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 4.3884 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8247 loss: 3.8247 2022/07/26 21:26:13 - mmengine - INFO - Epoch(train) [10][2820/3757] lr: 9.9384e-03 eta: 2 days, 22:01:39 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 4.3656 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7929 loss: 3.7929 2022/07/26 21:26:20 - mmengine - INFO - Epoch(train) [10][2840/3757] lr: 9.9384e-03 eta: 2 days, 22:01:32 time: 0.3979 data_time: 0.0170 memory: 17007 grad_norm: 4.2478 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4516 loss: 3.4516 2022/07/26 21:26:28 - mmengine - INFO - Epoch(train) [10][2860/3757] lr: 9.9384e-03 eta: 2 days, 22:01:24 time: 0.3926 data_time: 0.0150 memory: 17007 grad_norm: 4.1969 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6853 loss: 3.6853 2022/07/26 21:26:36 - mmengine - INFO - Epoch(train) [10][2880/3757] lr: 9.9384e-03 eta: 2 days, 22:01:15 time: 0.3913 data_time: 0.0160 memory: 17007 grad_norm: 4.2878 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7734 loss: 3.7734 2022/07/26 21:26:44 - mmengine - INFO - Epoch(train) [10][2900/3757] lr: 9.9384e-03 eta: 2 days, 22:01:06 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 4.2370 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.9311 loss: 3.9311 2022/07/26 21:26:52 - mmengine - INFO - Epoch(train) [10][2920/3757] lr: 9.9384e-03 eta: 2 days, 22:00:58 time: 0.3913 data_time: 0.0148 memory: 17007 grad_norm: 4.1584 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7232 loss: 3.7232 2022/07/26 21:27:00 - mmengine - INFO - Epoch(train) [10][2940/3757] lr: 9.9384e-03 eta: 2 days, 22:00:49 time: 0.3917 data_time: 0.0155 memory: 17007 grad_norm: 4.3988 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8800 loss: 3.8800 2022/07/26 21:27:08 - mmengine - INFO - Epoch(train) [10][2960/3757] lr: 9.9384e-03 eta: 2 days, 22:00:40 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 4.3233 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9367 loss: 3.9367 2022/07/26 21:27:15 - mmengine - INFO - Epoch(train) [10][2980/3757] lr: 9.9384e-03 eta: 2 days, 22:00:32 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 4.1865 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.6287 loss: 3.6287 2022/07/26 21:27:23 - mmengine - INFO - Epoch(train) [10][3000/3757] lr: 9.9384e-03 eta: 2 days, 22:00:25 time: 0.3980 data_time: 0.0160 memory: 17007 grad_norm: 4.4947 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7022 loss: 3.7022 2022/07/26 21:27:31 - mmengine - INFO - Epoch(train) [10][3020/3757] lr: 9.9384e-03 eta: 2 days, 22:00:16 time: 0.3917 data_time: 0.0164 memory: 17007 grad_norm: 4.1637 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4953 loss: 3.4953 2022/07/26 21:27:39 - mmengine - INFO - Epoch(train) [10][3040/3757] lr: 9.9384e-03 eta: 2 days, 22:00:08 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 4.2136 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.0537 loss: 4.0537 2022/07/26 21:27:47 - mmengine - INFO - Epoch(train) [10][3060/3757] lr: 9.9384e-03 eta: 2 days, 21:59:59 time: 0.3897 data_time: 0.0145 memory: 17007 grad_norm: 4.1701 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.8783 loss: 3.8783 2022/07/26 21:27:55 - mmengine - INFO - Epoch(train) [10][3080/3757] lr: 9.9384e-03 eta: 2 days, 21:59:50 time: 0.3904 data_time: 0.0158 memory: 17007 grad_norm: 4.1391 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7949 loss: 3.7949 2022/07/26 21:28:03 - mmengine - INFO - Epoch(train) [10][3100/3757] lr: 9.9384e-03 eta: 2 days, 21:59:42 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 4.1292 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6657 loss: 3.6657 2022/07/26 21:28:11 - mmengine - INFO - Epoch(train) [10][3120/3757] lr: 9.9384e-03 eta: 2 days, 21:59:42 time: 0.4172 data_time: 0.0159 memory: 17007 grad_norm: 4.1233 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.7461 loss: 3.7461 2022/07/26 21:28:19 - mmengine - INFO - Epoch(train) [10][3140/3757] lr: 9.9384e-03 eta: 2 days, 21:59:33 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 4.2246 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4684 loss: 3.4684 2022/07/26 21:28:27 - mmengine - INFO - Epoch(train) [10][3160/3757] lr: 9.9384e-03 eta: 2 days, 21:59:24 time: 0.3901 data_time: 0.0154 memory: 17007 grad_norm: 4.3788 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8317 loss: 3.8317 2022/07/26 21:28:34 - mmengine - INFO - Epoch(train) [10][3180/3757] lr: 9.9384e-03 eta: 2 days, 21:59:16 time: 0.3942 data_time: 0.0163 memory: 17007 grad_norm: 4.2333 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5815 loss: 3.5815 2022/07/26 21:28:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:28:42 - mmengine - INFO - Epoch(train) [10][3200/3757] lr: 9.9384e-03 eta: 2 days, 21:59:08 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 4.2178 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7247 loss: 3.7247 2022/07/26 21:28:50 - mmengine - INFO - Epoch(train) [10][3220/3757] lr: 9.9384e-03 eta: 2 days, 21:58:59 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 4.6316 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7551 loss: 3.7551 2022/07/26 21:28:58 - mmengine - INFO - Epoch(train) [10][3240/3757] lr: 9.9384e-03 eta: 2 days, 21:58:51 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 4.0904 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7927 loss: 3.7927 2022/07/26 21:29:06 - mmengine - INFO - Epoch(train) [10][3260/3757] lr: 9.9384e-03 eta: 2 days, 21:58:42 time: 0.3905 data_time: 0.0142 memory: 17007 grad_norm: 4.1136 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6136 loss: 3.6136 2022/07/26 21:29:14 - mmengine - INFO - Epoch(train) [10][3280/3757] lr: 9.9384e-03 eta: 2 days, 21:58:34 time: 0.3938 data_time: 0.0169 memory: 17007 grad_norm: 4.1189 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.6057 loss: 3.6057 2022/07/26 21:29:21 - mmengine - INFO - Epoch(train) [10][3300/3757] lr: 9.9384e-03 eta: 2 days, 21:58:25 time: 0.3904 data_time: 0.0147 memory: 17007 grad_norm: 4.3112 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8603 loss: 3.8603 2022/07/26 21:29:29 - mmengine - INFO - Epoch(train) [10][3320/3757] lr: 9.9384e-03 eta: 2 days, 21:58:17 time: 0.3946 data_time: 0.0176 memory: 17007 grad_norm: 4.2381 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7569 loss: 3.7569 2022/07/26 21:29:37 - mmengine - INFO - Epoch(train) [10][3340/3757] lr: 9.9384e-03 eta: 2 days, 21:58:08 time: 0.3904 data_time: 0.0142 memory: 17007 grad_norm: 4.3001 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7351 loss: 3.7351 2022/07/26 21:29:45 - mmengine - INFO - Epoch(train) [10][3360/3757] lr: 9.9384e-03 eta: 2 days, 21:57:59 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 4.2546 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6077 loss: 3.6077 2022/07/26 21:29:53 - mmengine - INFO - Epoch(train) [10][3380/3757] lr: 9.9384e-03 eta: 2 days, 21:57:52 time: 0.3947 data_time: 0.0162 memory: 17007 grad_norm: 4.2392 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7817 loss: 3.7817 2022/07/26 21:30:01 - mmengine - INFO - Epoch(train) [10][3400/3757] lr: 9.9384e-03 eta: 2 days, 21:57:43 time: 0.3922 data_time: 0.0162 memory: 17007 grad_norm: 4.1871 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8561 loss: 3.8561 2022/07/26 21:30:09 - mmengine - INFO - Epoch(train) [10][3420/3757] lr: 9.9384e-03 eta: 2 days, 21:57:35 time: 0.3945 data_time: 0.0166 memory: 17007 grad_norm: 4.2484 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7192 loss: 3.7192 2022/07/26 21:30:16 - mmengine - INFO - Epoch(train) [10][3440/3757] lr: 9.9384e-03 eta: 2 days, 21:57:26 time: 0.3907 data_time: 0.0157 memory: 17007 grad_norm: 4.2253 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.7976 loss: 3.7976 2022/07/26 21:30:24 - mmengine - INFO - Epoch(train) [10][3460/3757] lr: 9.9384e-03 eta: 2 days, 21:57:17 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 4.2484 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6149 loss: 3.6149 2022/07/26 21:30:32 - mmengine - INFO - Epoch(train) [10][3480/3757] lr: 9.9384e-03 eta: 2 days, 21:57:09 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 4.2603 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4652 loss: 3.4652 2022/07/26 21:30:40 - mmengine - INFO - Epoch(train) [10][3500/3757] lr: 9.9384e-03 eta: 2 days, 21:57:00 time: 0.3916 data_time: 0.0153 memory: 17007 grad_norm: 4.3258 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.6318 loss: 3.6318 2022/07/26 21:30:48 - mmengine - INFO - Epoch(train) [10][3520/3757] lr: 9.9384e-03 eta: 2 days, 21:56:52 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 4.1895 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6949 loss: 3.6949 2022/07/26 21:30:56 - mmengine - INFO - Epoch(train) [10][3540/3757] lr: 9.9384e-03 eta: 2 days, 21:56:43 time: 0.3911 data_time: 0.0138 memory: 17007 grad_norm: 4.3249 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8807 loss: 3.8807 2022/07/26 21:31:03 - mmengine - INFO - Epoch(train) [10][3560/3757] lr: 9.9384e-03 eta: 2 days, 21:56:34 time: 0.3920 data_time: 0.0163 memory: 17007 grad_norm: 4.2166 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5134 loss: 3.5134 2022/07/26 21:31:11 - mmengine - INFO - Epoch(train) [10][3580/3757] lr: 9.9384e-03 eta: 2 days, 21:56:26 time: 0.3931 data_time: 0.0167 memory: 17007 grad_norm: 4.2667 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6045 loss: 3.6045 2022/07/26 21:31:19 - mmengine - INFO - Epoch(train) [10][3600/3757] lr: 9.9384e-03 eta: 2 days, 21:56:17 time: 0.3925 data_time: 0.0173 memory: 17007 grad_norm: 4.4336 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9024 loss: 3.9024 2022/07/26 21:31:27 - mmengine - INFO - Epoch(train) [10][3620/3757] lr: 9.9384e-03 eta: 2 days, 21:56:08 time: 0.3889 data_time: 0.0144 memory: 17007 grad_norm: 4.2091 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7368 loss: 3.7368 2022/07/26 21:31:35 - mmengine - INFO - Epoch(train) [10][3640/3757] lr: 9.9384e-03 eta: 2 days, 21:55:59 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 4.1812 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6228 loss: 3.6228 2022/07/26 21:31:43 - mmengine - INFO - Epoch(train) [10][3660/3757] lr: 9.9384e-03 eta: 2 days, 21:55:51 time: 0.3916 data_time: 0.0164 memory: 17007 grad_norm: 4.2662 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6831 loss: 3.6831 2022/07/26 21:31:51 - mmengine - INFO - Epoch(train) [10][3680/3757] lr: 9.9384e-03 eta: 2 days, 21:55:43 time: 0.3957 data_time: 0.0157 memory: 17007 grad_norm: 4.5355 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6089 loss: 3.6089 2022/07/26 21:31:58 - mmengine - INFO - Epoch(train) [10][3700/3757] lr: 9.9384e-03 eta: 2 days, 21:55:35 time: 0.3937 data_time: 0.0166 memory: 17007 grad_norm: 4.1703 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6218 loss: 3.6218 2022/07/26 21:32:06 - mmengine - INFO - Epoch(train) [10][3720/3757] lr: 9.9384e-03 eta: 2 days, 21:55:26 time: 0.3910 data_time: 0.0159 memory: 17007 grad_norm: 4.2309 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5680 loss: 3.5680 2022/07/26 21:32:14 - mmengine - INFO - Epoch(train) [10][3740/3757] lr: 9.9384e-03 eta: 2 days, 21:55:18 time: 0.3921 data_time: 0.0161 memory: 17007 grad_norm: 4.2910 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7891 loss: 3.7891 2022/07/26 21:32:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:32:21 - mmengine - INFO - Epoch(train) [10][3757/3757] lr: 9.9384e-03 eta: 2 days, 21:55:18 time: 0.4129 data_time: 0.0190 memory: 17007 grad_norm: 4.1934 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 3.6254 loss: 3.6254 2022/07/26 21:32:21 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/07/26 21:32:33 - mmengine - INFO - Epoch(train) [11][20/3757] lr: 9.9240e-03 eta: 2 days, 21:53:28 time: 0.4498 data_time: 0.0738 memory: 17007 grad_norm: 4.2419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5991 loss: 3.5991 2022/07/26 21:32:41 - mmengine - INFO - Epoch(train) [11][40/3757] lr: 9.9240e-03 eta: 2 days, 21:53:21 time: 0.3954 data_time: 0.0194 memory: 17007 grad_norm: 4.3137 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6376 loss: 3.6376 2022/07/26 21:32:48 - mmengine - INFO - Epoch(train) [11][60/3757] lr: 9.9240e-03 eta: 2 days, 21:53:12 time: 0.3899 data_time: 0.0146 memory: 17007 grad_norm: 4.2804 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5651 loss: 3.5651 2022/07/26 21:32:56 - mmengine - INFO - Epoch(train) [11][80/3757] lr: 9.9240e-03 eta: 2 days, 21:53:03 time: 0.3915 data_time: 0.0165 memory: 17007 grad_norm: 4.2345 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8861 loss: 3.8861 2022/07/26 21:33:04 - mmengine - INFO - Epoch(train) [11][100/3757] lr: 9.9240e-03 eta: 2 days, 21:52:55 time: 0.3947 data_time: 0.0145 memory: 17007 grad_norm: 4.2499 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.6366 loss: 3.6366 2022/07/26 21:33:12 - mmengine - INFO - Epoch(train) [11][120/3757] lr: 9.9240e-03 eta: 2 days, 21:52:47 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 4.1627 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3887 loss: 3.3887 2022/07/26 21:33:20 - mmengine - INFO - Epoch(train) [11][140/3757] lr: 9.9240e-03 eta: 2 days, 21:52:39 time: 0.3948 data_time: 0.0168 memory: 17007 grad_norm: 4.2472 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7174 loss: 3.7174 2022/07/26 21:33:28 - mmengine - INFO - Epoch(train) [11][160/3757] lr: 9.9240e-03 eta: 2 days, 21:52:31 time: 0.3918 data_time: 0.0165 memory: 17007 grad_norm: 4.2867 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6502 loss: 3.6502 2022/07/26 21:33:35 - mmengine - INFO - Epoch(train) [11][180/3757] lr: 9.9240e-03 eta: 2 days, 21:52:22 time: 0.3911 data_time: 0.0155 memory: 17007 grad_norm: 4.0771 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6024 loss: 3.6024 2022/07/26 21:33:43 - mmengine - INFO - Epoch(train) [11][200/3757] lr: 9.9240e-03 eta: 2 days, 21:52:14 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 4.1695 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7291 loss: 3.7291 2022/07/26 21:33:51 - mmengine - INFO - Epoch(train) [11][220/3757] lr: 9.9240e-03 eta: 2 days, 21:52:10 time: 0.4066 data_time: 0.0151 memory: 17007 grad_norm: 4.2348 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5454 loss: 3.5454 2022/07/26 21:33:59 - mmengine - INFO - Epoch(train) [11][240/3757] lr: 9.9240e-03 eta: 2 days, 21:52:02 time: 0.3945 data_time: 0.0166 memory: 17007 grad_norm: 4.3187 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6427 loss: 3.6427 2022/07/26 21:34:07 - mmengine - INFO - Epoch(train) [11][260/3757] lr: 9.9240e-03 eta: 2 days, 21:51:54 time: 0.3910 data_time: 0.0146 memory: 17007 grad_norm: 4.2641 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7289 loss: 3.7289 2022/07/26 21:34:15 - mmengine - INFO - Epoch(train) [11][280/3757] lr: 9.9240e-03 eta: 2 days, 21:51:45 time: 0.3920 data_time: 0.0150 memory: 17007 grad_norm: 4.2788 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5335 loss: 3.5335 2022/07/26 21:34:23 - mmengine - INFO - Epoch(train) [11][300/3757] lr: 9.9240e-03 eta: 2 days, 21:51:37 time: 0.3923 data_time: 0.0159 memory: 17007 grad_norm: 4.3368 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.7105 loss: 3.7105 2022/07/26 21:34:31 - mmengine - INFO - Epoch(train) [11][320/3757] lr: 9.9240e-03 eta: 2 days, 21:51:30 time: 0.3974 data_time: 0.0161 memory: 17007 grad_norm: 4.2678 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5626 loss: 3.5626 2022/07/26 21:34:39 - mmengine - INFO - Epoch(train) [11][340/3757] lr: 9.9240e-03 eta: 2 days, 21:51:22 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 4.2820 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9680 loss: 3.9680 2022/07/26 21:34:46 - mmengine - INFO - Epoch(train) [11][360/3757] lr: 9.9240e-03 eta: 2 days, 21:51:13 time: 0.3918 data_time: 0.0160 memory: 17007 grad_norm: 4.3910 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.1274 loss: 4.1274 2022/07/26 21:34:54 - mmengine - INFO - Epoch(train) [11][380/3757] lr: 9.9240e-03 eta: 2 days, 21:51:04 time: 0.3906 data_time: 0.0152 memory: 17007 grad_norm: 4.2043 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7235 loss: 3.7235 2022/07/26 21:35:02 - mmengine - INFO - Epoch(train) [11][400/3757] lr: 9.9240e-03 eta: 2 days, 21:50:56 time: 0.3921 data_time: 0.0165 memory: 17007 grad_norm: 4.7845 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5009 loss: 3.5009 2022/07/26 21:35:10 - mmengine - INFO - Epoch(train) [11][420/3757] lr: 9.9240e-03 eta: 2 days, 21:50:48 time: 0.3957 data_time: 0.0149 memory: 17007 grad_norm: 4.3424 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5374 loss: 3.5374 2022/07/26 21:35:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:35:18 - mmengine - INFO - Epoch(train) [11][440/3757] lr: 9.9240e-03 eta: 2 days, 21:50:40 time: 0.3913 data_time: 0.0164 memory: 17007 grad_norm: 4.3658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5842 loss: 3.5842 2022/07/26 21:35:26 - mmengine - INFO - Epoch(train) [11][460/3757] lr: 9.9240e-03 eta: 2 days, 21:50:31 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 4.2389 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6153 loss: 3.6153 2022/07/26 21:35:34 - mmengine - INFO - Epoch(train) [11][480/3757] lr: 9.9240e-03 eta: 2 days, 21:50:28 time: 0.4073 data_time: 0.0168 memory: 17007 grad_norm: 4.3704 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6034 loss: 3.6034 2022/07/26 21:35:42 - mmengine - INFO - Epoch(train) [11][500/3757] lr: 9.9240e-03 eta: 2 days, 21:50:19 time: 0.3904 data_time: 0.0148 memory: 17007 grad_norm: 4.4059 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5653 loss: 3.5653 2022/07/26 21:35:50 - mmengine - INFO - Epoch(train) [11][520/3757] lr: 9.9240e-03 eta: 2 days, 21:50:10 time: 0.3922 data_time: 0.0167 memory: 17007 grad_norm: 4.2002 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3761 loss: 3.3761 2022/07/26 21:35:57 - mmengine - INFO - Epoch(train) [11][540/3757] lr: 9.9240e-03 eta: 2 days, 21:50:02 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 4.2165 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4227 loss: 3.4227 2022/07/26 21:36:05 - mmengine - INFO - Epoch(train) [11][560/3757] lr: 9.9240e-03 eta: 2 days, 21:49:54 time: 0.3952 data_time: 0.0146 memory: 17007 grad_norm: 4.2736 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4983 loss: 3.4983 2022/07/26 21:36:13 - mmengine - INFO - Epoch(train) [11][580/3757] lr: 9.9240e-03 eta: 2 days, 21:49:49 time: 0.4011 data_time: 0.0149 memory: 17007 grad_norm: 4.3978 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.0618 loss: 4.0618 2022/07/26 21:36:21 - mmengine - INFO - Epoch(train) [11][600/3757] lr: 9.9240e-03 eta: 2 days, 21:49:41 time: 0.3956 data_time: 0.0166 memory: 17007 grad_norm: 4.3902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.6993 loss: 3.6993 2022/07/26 21:36:29 - mmengine - INFO - Epoch(train) [11][620/3757] lr: 9.9240e-03 eta: 2 days, 21:49:39 time: 0.4117 data_time: 0.0163 memory: 17007 grad_norm: 4.3163 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.6667 loss: 3.6667 2022/07/26 21:36:37 - mmengine - INFO - Epoch(train) [11][640/3757] lr: 9.9240e-03 eta: 2 days, 21:49:31 time: 0.3921 data_time: 0.0161 memory: 17007 grad_norm: 4.2874 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6292 loss: 3.6292 2022/07/26 21:36:45 - mmengine - INFO - Epoch(train) [11][660/3757] lr: 9.9240e-03 eta: 2 days, 21:49:24 time: 0.3982 data_time: 0.0161 memory: 17007 grad_norm: 4.1661 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7819 loss: 3.7819 2022/07/26 21:36:53 - mmengine - INFO - Epoch(train) [11][680/3757] lr: 9.9240e-03 eta: 2 days, 21:49:16 time: 0.3922 data_time: 0.0164 memory: 17007 grad_norm: 4.3110 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5917 loss: 3.5917 2022/07/26 21:37:01 - mmengine - INFO - Epoch(train) [11][700/3757] lr: 9.9240e-03 eta: 2 days, 21:49:08 time: 0.3939 data_time: 0.0163 memory: 17007 grad_norm: 4.1319 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7257 loss: 3.7257 2022/07/26 21:37:09 - mmengine - INFO - Epoch(train) [11][720/3757] lr: 9.9240e-03 eta: 2 days, 21:48:59 time: 0.3908 data_time: 0.0157 memory: 17007 grad_norm: 4.1619 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7154 loss: 3.7154 2022/07/26 21:37:17 - mmengine - INFO - Epoch(train) [11][740/3757] lr: 9.9240e-03 eta: 2 days, 21:48:50 time: 0.3902 data_time: 0.0140 memory: 17007 grad_norm: 4.2073 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.7246 loss: 3.7246 2022/07/26 21:37:25 - mmengine - INFO - Epoch(train) [11][760/3757] lr: 9.9240e-03 eta: 2 days, 21:48:42 time: 0.3947 data_time: 0.0172 memory: 17007 grad_norm: 4.2406 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8003 loss: 3.8003 2022/07/26 21:37:32 - mmengine - INFO - Epoch(train) [11][780/3757] lr: 9.9240e-03 eta: 2 days, 21:48:33 time: 0.3912 data_time: 0.0149 memory: 17007 grad_norm: 4.2632 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8623 loss: 3.8623 2022/07/26 21:37:40 - mmengine - INFO - Epoch(train) [11][800/3757] lr: 9.9240e-03 eta: 2 days, 21:48:27 time: 0.3976 data_time: 0.0171 memory: 17007 grad_norm: 4.2454 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6025 loss: 3.6025 2022/07/26 21:37:48 - mmengine - INFO - Epoch(train) [11][820/3757] lr: 9.9240e-03 eta: 2 days, 21:48:17 time: 0.3894 data_time: 0.0144 memory: 17007 grad_norm: 4.2138 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4567 loss: 3.4567 2022/07/26 21:37:56 - mmengine - INFO - Epoch(train) [11][840/3757] lr: 9.9240e-03 eta: 2 days, 21:48:09 time: 0.3927 data_time: 0.0173 memory: 17007 grad_norm: 4.3689 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7035 loss: 3.7035 2022/07/26 21:38:04 - mmengine - INFO - Epoch(train) [11][860/3757] lr: 9.9240e-03 eta: 2 days, 21:48:01 time: 0.3925 data_time: 0.0163 memory: 17007 grad_norm: 4.3098 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.5873 loss: 3.5873 2022/07/26 21:38:12 - mmengine - INFO - Epoch(train) [11][880/3757] lr: 9.9240e-03 eta: 2 days, 21:47:52 time: 0.3922 data_time: 0.0169 memory: 17007 grad_norm: 4.1853 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4835 loss: 3.4835 2022/07/26 21:38:20 - mmengine - INFO - Epoch(train) [11][900/3757] lr: 9.9240e-03 eta: 2 days, 21:47:46 time: 0.3979 data_time: 0.0172 memory: 17007 grad_norm: 4.3120 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3638 loss: 3.3638 2022/07/26 21:38:27 - mmengine - INFO - Epoch(train) [11][920/3757] lr: 9.9240e-03 eta: 2 days, 21:47:37 time: 0.3900 data_time: 0.0163 memory: 17007 grad_norm: 4.2960 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5553 loss: 3.5553 2022/07/26 21:38:35 - mmengine - INFO - Epoch(train) [11][940/3757] lr: 9.9240e-03 eta: 2 days, 21:47:28 time: 0.3906 data_time: 0.0141 memory: 17007 grad_norm: 4.2679 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6015 loss: 3.6015 2022/07/26 21:38:43 - mmengine - INFO - Epoch(train) [11][960/3757] lr: 9.9240e-03 eta: 2 days, 21:47:20 time: 0.3938 data_time: 0.0178 memory: 17007 grad_norm: 4.3281 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6368 loss: 3.6368 2022/07/26 21:38:51 - mmengine - INFO - Epoch(train) [11][980/3757] lr: 9.9240e-03 eta: 2 days, 21:47:10 time: 0.3895 data_time: 0.0157 memory: 17007 grad_norm: 4.2459 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4458 loss: 3.4458 2022/07/26 21:38:59 - mmengine - INFO - Epoch(train) [11][1000/3757] lr: 9.9240e-03 eta: 2 days, 21:47:03 time: 0.3949 data_time: 0.0160 memory: 17007 grad_norm: 4.3386 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.6046 loss: 3.6046 2022/07/26 21:39:07 - mmengine - INFO - Epoch(train) [11][1020/3757] lr: 9.9240e-03 eta: 2 days, 21:46:55 time: 0.3942 data_time: 0.0139 memory: 17007 grad_norm: 4.3757 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5379 loss: 3.5379 2022/07/26 21:39:15 - mmengine - INFO - Epoch(train) [11][1040/3757] lr: 9.9240e-03 eta: 2 days, 21:46:47 time: 0.3933 data_time: 0.0168 memory: 17007 grad_norm: 4.2768 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6125 loss: 3.6125 2022/07/26 21:39:22 - mmengine - INFO - Epoch(train) [11][1060/3757] lr: 9.9240e-03 eta: 2 days, 21:46:39 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 4.3099 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6546 loss: 3.6546 2022/07/26 21:39:30 - mmengine - INFO - Epoch(train) [11][1080/3757] lr: 9.9240e-03 eta: 2 days, 21:46:31 time: 0.3959 data_time: 0.0166 memory: 17007 grad_norm: 4.1985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6672 loss: 3.6672 2022/07/26 21:39:38 - mmengine - INFO - Epoch(train) [11][1100/3757] lr: 9.9240e-03 eta: 2 days, 21:46:23 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 4.4002 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8555 loss: 3.8555 2022/07/26 21:39:46 - mmengine - INFO - Epoch(train) [11][1120/3757] lr: 9.9240e-03 eta: 2 days, 21:46:17 time: 0.4021 data_time: 0.0168 memory: 17007 grad_norm: 4.4136 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5955 loss: 3.5955 2022/07/26 21:39:54 - mmengine - INFO - Epoch(train) [11][1140/3757] lr: 9.9240e-03 eta: 2 days, 21:46:09 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 4.3856 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5002 loss: 3.5002 2022/07/26 21:40:02 - mmengine - INFO - Epoch(train) [11][1160/3757] lr: 9.9240e-03 eta: 2 days, 21:46:04 time: 0.4015 data_time: 0.0170 memory: 17007 grad_norm: 4.4331 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7068 loss: 3.7068 2022/07/26 21:40:10 - mmengine - INFO - Epoch(train) [11][1180/3757] lr: 9.9240e-03 eta: 2 days, 21:45:58 time: 0.4010 data_time: 0.0153 memory: 17007 grad_norm: 4.3396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.4823 loss: 3.4823 2022/07/26 21:40:18 - mmengine - INFO - Epoch(train) [11][1200/3757] lr: 9.9240e-03 eta: 2 days, 21:45:50 time: 0.3915 data_time: 0.0161 memory: 17007 grad_norm: 4.3669 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7042 loss: 3.7042 2022/07/26 21:40:26 - mmengine - INFO - Epoch(train) [11][1220/3757] lr: 9.9240e-03 eta: 2 days, 21:45:42 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 4.3805 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7018 loss: 3.7018 2022/07/26 21:40:34 - mmengine - INFO - Epoch(train) [11][1240/3757] lr: 9.9240e-03 eta: 2 days, 21:45:33 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 4.3370 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4568 loss: 3.4568 2022/07/26 21:40:41 - mmengine - INFO - Epoch(train) [11][1260/3757] lr: 9.9240e-03 eta: 2 days, 21:45:25 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 4.3256 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7293 loss: 3.7293 2022/07/26 21:40:49 - mmengine - INFO - Epoch(train) [11][1280/3757] lr: 9.9240e-03 eta: 2 days, 21:45:17 time: 0.3954 data_time: 0.0165 memory: 17007 grad_norm: 4.2443 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5088 loss: 3.5088 2022/07/26 21:40:57 - mmengine - INFO - Epoch(train) [11][1300/3757] lr: 9.9240e-03 eta: 2 days, 21:45:08 time: 0.3903 data_time: 0.0156 memory: 17007 grad_norm: 4.3249 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5849 loss: 3.5849 2022/07/26 21:41:05 - mmengine - INFO - Epoch(train) [11][1320/3757] lr: 9.9240e-03 eta: 2 days, 21:45:02 time: 0.3981 data_time: 0.0182 memory: 17007 grad_norm: 4.4135 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7271 loss: 3.7271 2022/07/26 21:41:13 - mmengine - INFO - Epoch(train) [11][1340/3757] lr: 9.9240e-03 eta: 2 days, 21:44:53 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 4.2776 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6619 loss: 3.6619 2022/07/26 21:41:21 - mmengine - INFO - Epoch(train) [11][1360/3757] lr: 9.9240e-03 eta: 2 days, 21:44:46 time: 0.3962 data_time: 0.0175 memory: 17007 grad_norm: 4.3690 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6494 loss: 3.6494 2022/07/26 21:41:29 - mmengine - INFO - Epoch(train) [11][1380/3757] lr: 9.9240e-03 eta: 2 days, 21:44:37 time: 0.3908 data_time: 0.0148 memory: 17007 grad_norm: 4.3610 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8142 loss: 3.8142 2022/07/26 21:41:37 - mmengine - INFO - Epoch(train) [11][1400/3757] lr: 9.9240e-03 eta: 2 days, 21:44:29 time: 0.3917 data_time: 0.0158 memory: 17007 grad_norm: 4.5546 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7573 loss: 3.7573 2022/07/26 21:41:44 - mmengine - INFO - Epoch(train) [11][1420/3757] lr: 9.9240e-03 eta: 2 days, 21:44:21 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 4.1400 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6049 loss: 3.6049 2022/07/26 21:41:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:41:52 - mmengine - INFO - Epoch(train) [11][1440/3757] lr: 9.9240e-03 eta: 2 days, 21:44:12 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 4.4801 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.7855 loss: 3.7855 2022/07/26 21:42:00 - mmengine - INFO - Epoch(train) [11][1460/3757] lr: 9.9240e-03 eta: 2 days, 21:44:06 time: 0.3971 data_time: 0.0148 memory: 17007 grad_norm: 4.2244 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6568 loss: 3.6568 2022/07/26 21:42:08 - mmengine - INFO - Epoch(train) [11][1480/3757] lr: 9.9240e-03 eta: 2 days, 21:43:57 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 4.4830 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6471 loss: 3.6471 2022/07/26 21:42:16 - mmengine - INFO - Epoch(train) [11][1500/3757] lr: 9.9240e-03 eta: 2 days, 21:43:47 time: 0.3898 data_time: 0.0152 memory: 17007 grad_norm: 4.7095 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4299 loss: 3.4299 2022/07/26 21:42:24 - mmengine - INFO - Epoch(train) [11][1520/3757] lr: 9.9240e-03 eta: 2 days, 21:43:40 time: 0.3966 data_time: 0.0167 memory: 17007 grad_norm: 4.2522 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3756 loss: 3.3756 2022/07/26 21:42:32 - mmengine - INFO - Epoch(train) [11][1540/3757] lr: 9.9240e-03 eta: 2 days, 21:43:32 time: 0.3918 data_time: 0.0159 memory: 17007 grad_norm: 4.5737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.8301 loss: 3.8301 2022/07/26 21:42:40 - mmengine - INFO - Epoch(train) [11][1560/3757] lr: 9.9240e-03 eta: 2 days, 21:43:24 time: 0.3933 data_time: 0.0163 memory: 17007 grad_norm: 4.3792 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5300 loss: 3.5300 2022/07/26 21:42:47 - mmengine - INFO - Epoch(train) [11][1580/3757] lr: 9.9240e-03 eta: 2 days, 21:43:15 time: 0.3913 data_time: 0.0154 memory: 17007 grad_norm: 4.3862 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3796 loss: 3.3796 2022/07/26 21:42:55 - mmengine - INFO - Epoch(train) [11][1600/3757] lr: 9.9240e-03 eta: 2 days, 21:43:07 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 4.4202 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7106 loss: 3.7106 2022/07/26 21:43:03 - mmengine - INFO - Epoch(train) [11][1620/3757] lr: 9.9240e-03 eta: 2 days, 21:42:58 time: 0.3907 data_time: 0.0154 memory: 17007 grad_norm: 4.4170 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6825 loss: 3.6825 2022/07/26 21:43:11 - mmengine - INFO - Epoch(train) [11][1640/3757] lr: 9.9240e-03 eta: 2 days, 21:42:50 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 4.2484 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6669 loss: 3.6669 2022/07/26 21:43:19 - mmengine - INFO - Epoch(train) [11][1660/3757] lr: 9.9240e-03 eta: 2 days, 21:42:41 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 4.1777 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6694 loss: 3.6694 2022/07/26 21:43:27 - mmengine - INFO - Epoch(train) [11][1680/3757] lr: 9.9240e-03 eta: 2 days, 21:42:34 time: 0.3952 data_time: 0.0174 memory: 17007 grad_norm: 4.2847 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5295 loss: 3.5295 2022/07/26 21:43:35 - mmengine - INFO - Epoch(train) [11][1700/3757] lr: 9.9240e-03 eta: 2 days, 21:42:26 time: 0.3935 data_time: 0.0169 memory: 17007 grad_norm: 4.4589 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6989 loss: 3.6989 2022/07/26 21:43:42 - mmengine - INFO - Epoch(train) [11][1720/3757] lr: 9.9240e-03 eta: 2 days, 21:42:18 time: 0.3925 data_time: 0.0163 memory: 17007 grad_norm: 4.4494 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5882 loss: 3.5882 2022/07/26 21:43:50 - mmengine - INFO - Epoch(train) [11][1740/3757] lr: 9.9240e-03 eta: 2 days, 21:42:09 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 4.4327 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5577 loss: 3.5577 2022/07/26 21:43:58 - mmengine - INFO - Epoch(train) [11][1760/3757] lr: 9.9240e-03 eta: 2 days, 21:42:00 time: 0.3910 data_time: 0.0162 memory: 17007 grad_norm: 4.2919 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4062 loss: 3.4062 2022/07/26 21:44:06 - mmengine - INFO - Epoch(train) [11][1780/3757] lr: 9.9240e-03 eta: 2 days, 21:41:53 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 4.3153 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5011 loss: 3.5011 2022/07/26 21:44:14 - mmengine - INFO - Epoch(train) [11][1800/3757] lr: 9.9240e-03 eta: 2 days, 21:41:46 time: 0.3967 data_time: 0.0159 memory: 17007 grad_norm: 4.2923 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6287 loss: 3.6287 2022/07/26 21:44:22 - mmengine - INFO - Epoch(train) [11][1820/3757] lr: 9.9240e-03 eta: 2 days, 21:41:39 time: 0.3995 data_time: 0.0144 memory: 17007 grad_norm: 4.1941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4425 loss: 3.4425 2022/07/26 21:44:30 - mmengine - INFO - Epoch(train) [11][1840/3757] lr: 9.9240e-03 eta: 2 days, 21:41:31 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 4.3039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.9211 loss: 3.9211 2022/07/26 21:44:38 - mmengine - INFO - Epoch(train) [11][1860/3757] lr: 9.9240e-03 eta: 2 days, 21:41:22 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 4.3993 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7486 loss: 3.7486 2022/07/26 21:44:45 - mmengine - INFO - Epoch(train) [11][1880/3757] lr: 9.9240e-03 eta: 2 days, 21:41:14 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 4.3700 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4900 loss: 3.4900 2022/07/26 21:44:53 - mmengine - INFO - Epoch(train) [11][1900/3757] lr: 9.9240e-03 eta: 2 days, 21:41:05 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 4.1697 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4030 loss: 3.4030 2022/07/26 21:45:01 - mmengine - INFO - Epoch(train) [11][1920/3757] lr: 9.9240e-03 eta: 2 days, 21:40:57 time: 0.3933 data_time: 0.0164 memory: 17007 grad_norm: 4.3930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.7807 loss: 3.7807 2022/07/26 21:45:09 - mmengine - INFO - Epoch(train) [11][1940/3757] lr: 9.9240e-03 eta: 2 days, 21:40:49 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 4.3114 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6068 loss: 3.6068 2022/07/26 21:45:17 - mmengine - INFO - Epoch(train) [11][1960/3757] lr: 9.9240e-03 eta: 2 days, 21:40:41 time: 0.3921 data_time: 0.0164 memory: 17007 grad_norm: 4.3094 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5163 loss: 3.5163 2022/07/26 21:45:25 - mmengine - INFO - Epoch(train) [11][1980/3757] lr: 9.9240e-03 eta: 2 days, 21:40:32 time: 0.3922 data_time: 0.0168 memory: 17007 grad_norm: 4.4261 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7628 loss: 3.7628 2022/07/26 21:45:32 - mmengine - INFO - Epoch(train) [11][2000/3757] lr: 9.9240e-03 eta: 2 days, 21:40:24 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 4.4476 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8241 loss: 3.8241 2022/07/26 21:45:40 - mmengine - INFO - Epoch(train) [11][2020/3757] lr: 9.9240e-03 eta: 2 days, 21:40:16 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 4.4192 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6303 loss: 3.6303 2022/07/26 21:45:48 - mmengine - INFO - Epoch(train) [11][2040/3757] lr: 9.9240e-03 eta: 2 days, 21:40:07 time: 0.3913 data_time: 0.0159 memory: 17007 grad_norm: 4.3711 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5081 loss: 3.5081 2022/07/26 21:45:56 - mmengine - INFO - Epoch(train) [11][2060/3757] lr: 9.9240e-03 eta: 2 days, 21:39:59 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 4.3490 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.4079 loss: 3.4079 2022/07/26 21:46:04 - mmengine - INFO - Epoch(train) [11][2080/3757] lr: 9.9240e-03 eta: 2 days, 21:39:51 time: 0.3931 data_time: 0.0169 memory: 17007 grad_norm: 4.5156 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5543 loss: 3.5543 2022/07/26 21:46:12 - mmengine - INFO - Epoch(train) [11][2100/3757] lr: 9.9240e-03 eta: 2 days, 21:39:42 time: 0.3919 data_time: 0.0149 memory: 17007 grad_norm: 4.5841 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6527 loss: 3.6527 2022/07/26 21:46:20 - mmengine - INFO - Epoch(train) [11][2120/3757] lr: 9.9240e-03 eta: 2 days, 21:39:34 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 4.2867 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4909 loss: 3.4909 2022/07/26 21:46:27 - mmengine - INFO - Epoch(train) [11][2140/3757] lr: 9.9240e-03 eta: 2 days, 21:39:25 time: 0.3899 data_time: 0.0134 memory: 17007 grad_norm: 4.3680 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8030 loss: 3.8030 2022/07/26 21:46:35 - mmengine - INFO - Epoch(train) [11][2160/3757] lr: 9.9240e-03 eta: 2 days, 21:39:17 time: 0.3935 data_time: 0.0165 memory: 17007 grad_norm: 4.2035 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4982 loss: 3.4982 2022/07/26 21:46:43 - mmengine - INFO - Epoch(train) [11][2180/3757] lr: 9.9240e-03 eta: 2 days, 21:39:10 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 4.2059 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4548 loss: 3.4548 2022/07/26 21:46:51 - mmengine - INFO - Epoch(train) [11][2200/3757] lr: 9.9240e-03 eta: 2 days, 21:39:01 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 4.3319 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6245 loss: 3.6245 2022/07/26 21:46:59 - mmengine - INFO - Epoch(train) [11][2220/3757] lr: 9.9240e-03 eta: 2 days, 21:38:52 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 4.1537 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8070 loss: 3.8070 2022/07/26 21:47:07 - mmengine - INFO - Epoch(train) [11][2240/3757] lr: 9.9240e-03 eta: 2 days, 21:38:44 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 4.1805 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6945 loss: 3.6945 2022/07/26 21:47:15 - mmengine - INFO - Epoch(train) [11][2260/3757] lr: 9.9240e-03 eta: 2 days, 21:38:36 time: 0.3919 data_time: 0.0152 memory: 17007 grad_norm: 4.1371 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2893 loss: 3.2893 2022/07/26 21:47:23 - mmengine - INFO - Epoch(train) [11][2280/3757] lr: 9.9240e-03 eta: 2 days, 21:38:32 time: 0.4068 data_time: 0.0175 memory: 17007 grad_norm: 4.3990 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9277 loss: 3.9277 2022/07/26 21:47:31 - mmengine - INFO - Epoch(train) [11][2300/3757] lr: 9.9240e-03 eta: 2 days, 21:38:23 time: 0.3900 data_time: 0.0147 memory: 17007 grad_norm: 4.2411 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5828 loss: 3.5828 2022/07/26 21:47:38 - mmengine - INFO - Epoch(train) [11][2320/3757] lr: 9.9240e-03 eta: 2 days, 21:38:14 time: 0.3915 data_time: 0.0166 memory: 17007 grad_norm: 4.2627 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6610 loss: 3.6610 2022/07/26 21:47:47 - mmengine - INFO - Epoch(train) [11][2340/3757] lr: 9.9240e-03 eta: 2 days, 21:38:11 time: 0.4085 data_time: 0.0157 memory: 17007 grad_norm: 4.3503 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.9561 loss: 3.9561 2022/07/26 21:47:54 - mmengine - INFO - Epoch(train) [11][2360/3757] lr: 9.9240e-03 eta: 2 days, 21:38:02 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 4.2302 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5789 loss: 3.5789 2022/07/26 21:48:02 - mmengine - INFO - Epoch(train) [11][2380/3757] lr: 9.9240e-03 eta: 2 days, 21:37:58 time: 0.4033 data_time: 0.0170 memory: 17007 grad_norm: 4.3574 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6642 loss: 3.6642 2022/07/26 21:48:10 - mmengine - INFO - Epoch(train) [11][2400/3757] lr: 9.9240e-03 eta: 2 days, 21:37:49 time: 0.3922 data_time: 0.0163 memory: 17007 grad_norm: 4.3508 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5154 loss: 3.5154 2022/07/26 21:48:18 - mmengine - INFO - Epoch(train) [11][2420/3757] lr: 9.9240e-03 eta: 2 days, 21:37:40 time: 0.3907 data_time: 0.0164 memory: 17007 grad_norm: 4.2804 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5223 loss: 3.5223 2022/07/26 21:48:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:48:26 - mmengine - INFO - Epoch(train) [11][2440/3757] lr: 9.9240e-03 eta: 2 days, 21:37:32 time: 0.3926 data_time: 0.0162 memory: 17007 grad_norm: 4.2736 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7661 loss: 3.7661 2022/07/26 21:48:34 - mmengine - INFO - Epoch(train) [11][2460/3757] lr: 9.9240e-03 eta: 2 days, 21:37:23 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 4.2276 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6034 loss: 3.6034 2022/07/26 21:48:42 - mmengine - INFO - Epoch(train) [11][2480/3757] lr: 9.9240e-03 eta: 2 days, 21:37:16 time: 0.3962 data_time: 0.0162 memory: 17007 grad_norm: 4.1850 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4616 loss: 3.4616 2022/07/26 21:48:50 - mmengine - INFO - Epoch(train) [11][2500/3757] lr: 9.9240e-03 eta: 2 days, 21:37:07 time: 0.3904 data_time: 0.0153 memory: 17007 grad_norm: 4.3094 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4302 loss: 3.4302 2022/07/26 21:48:57 - mmengine - INFO - Epoch(train) [11][2520/3757] lr: 9.9240e-03 eta: 2 days, 21:36:58 time: 0.3921 data_time: 0.0165 memory: 17007 grad_norm: 4.3827 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8043 loss: 3.8043 2022/07/26 21:49:05 - mmengine - INFO - Epoch(train) [11][2540/3757] lr: 9.9240e-03 eta: 2 days, 21:36:51 time: 0.3970 data_time: 0.0153 memory: 17007 grad_norm: 4.2642 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4901 loss: 3.4901 2022/07/26 21:49:13 - mmengine - INFO - Epoch(train) [11][2560/3757] lr: 9.9240e-03 eta: 2 days, 21:36:43 time: 0.3921 data_time: 0.0164 memory: 17007 grad_norm: 4.2896 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5419 loss: 3.5419 2022/07/26 21:49:21 - mmengine - INFO - Epoch(train) [11][2580/3757] lr: 9.9240e-03 eta: 2 days, 21:36:35 time: 0.3921 data_time: 0.0159 memory: 17007 grad_norm: 4.3092 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6562 loss: 3.6562 2022/07/26 21:49:29 - mmengine - INFO - Epoch(train) [11][2600/3757] lr: 9.9240e-03 eta: 2 days, 21:36:26 time: 0.3908 data_time: 0.0160 memory: 17007 grad_norm: 4.4565 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6660 loss: 3.6660 2022/07/26 21:49:37 - mmengine - INFO - Epoch(train) [11][2620/3757] lr: 9.9240e-03 eta: 2 days, 21:36:30 time: 0.4323 data_time: 0.0141 memory: 17007 grad_norm: 4.3616 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4880 loss: 3.4880 2022/07/26 21:49:45 - mmengine - INFO - Epoch(train) [11][2640/3757] lr: 9.9240e-03 eta: 2 days, 21:36:21 time: 0.3919 data_time: 0.0171 memory: 17007 grad_norm: 4.2451 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5200 loss: 3.5200 2022/07/26 21:49:53 - mmengine - INFO - Epoch(train) [11][2660/3757] lr: 9.9240e-03 eta: 2 days, 21:36:13 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 4.3068 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5388 loss: 3.5388 2022/07/26 21:50:01 - mmengine - INFO - Epoch(train) [11][2680/3757] lr: 9.9240e-03 eta: 2 days, 21:36:05 time: 0.3960 data_time: 0.0172 memory: 17007 grad_norm: 4.3199 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7141 loss: 3.7141 2022/07/26 21:50:09 - mmengine - INFO - Epoch(train) [11][2700/3757] lr: 9.9240e-03 eta: 2 days, 21:35:56 time: 0.3905 data_time: 0.0149 memory: 17007 grad_norm: 4.3492 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7617 loss: 3.7617 2022/07/26 21:50:17 - mmengine - INFO - Epoch(train) [11][2720/3757] lr: 9.9240e-03 eta: 2 days, 21:35:48 time: 0.3914 data_time: 0.0163 memory: 17007 grad_norm: 4.2516 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7360 loss: 3.7360 2022/07/26 21:50:25 - mmengine - INFO - Epoch(train) [11][2740/3757] lr: 9.9240e-03 eta: 2 days, 21:35:44 time: 0.4067 data_time: 0.0151 memory: 17007 grad_norm: 4.1378 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5131 loss: 3.5131 2022/07/26 21:50:33 - mmengine - INFO - Epoch(train) [11][2760/3757] lr: 9.9240e-03 eta: 2 days, 21:35:35 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 4.2657 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7328 loss: 3.7328 2022/07/26 21:50:40 - mmengine - INFO - Epoch(train) [11][2780/3757] lr: 9.9240e-03 eta: 2 days, 21:35:27 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 4.3164 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.6319 loss: 3.6319 2022/07/26 21:50:48 - mmengine - INFO - Epoch(train) [11][2800/3757] lr: 9.9240e-03 eta: 2 days, 21:35:18 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 4.2778 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.9239 loss: 3.9239 2022/07/26 21:50:56 - mmengine - INFO - Epoch(train) [11][2820/3757] lr: 9.9240e-03 eta: 2 days, 21:35:09 time: 0.3902 data_time: 0.0137 memory: 17007 grad_norm: 4.2799 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6443 loss: 3.6443 2022/07/26 21:51:04 - mmengine - INFO - Epoch(train) [11][2840/3757] lr: 9.9240e-03 eta: 2 days, 21:35:01 time: 0.3931 data_time: 0.0173 memory: 17007 grad_norm: 4.2454 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6596 loss: 3.6596 2022/07/26 21:51:12 - mmengine - INFO - Epoch(train) [11][2860/3757] lr: 9.9240e-03 eta: 2 days, 21:34:52 time: 0.3912 data_time: 0.0152 memory: 17007 grad_norm: 4.3745 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6344 loss: 3.6344 2022/07/26 21:51:20 - mmengine - INFO - Epoch(train) [11][2880/3757] lr: 9.9240e-03 eta: 2 days, 21:34:44 time: 0.3925 data_time: 0.0169 memory: 17007 grad_norm: 4.2541 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7339 loss: 3.7339 2022/07/26 21:51:28 - mmengine - INFO - Epoch(train) [11][2900/3757] lr: 9.9240e-03 eta: 2 days, 21:34:36 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 4.1171 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4376 loss: 3.4376 2022/07/26 21:51:35 - mmengine - INFO - Epoch(train) [11][2920/3757] lr: 9.9240e-03 eta: 2 days, 21:34:28 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 4.1468 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7344 loss: 3.7344 2022/07/26 21:51:43 - mmengine - INFO - Epoch(train) [11][2940/3757] lr: 9.9240e-03 eta: 2 days, 21:34:21 time: 0.3978 data_time: 0.0162 memory: 17007 grad_norm: 4.3848 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6708 loss: 3.6708 2022/07/26 21:51:51 - mmengine - INFO - Epoch(train) [11][2960/3757] lr: 9.9240e-03 eta: 2 days, 21:34:12 time: 0.3909 data_time: 0.0158 memory: 17007 grad_norm: 4.3041 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4878 loss: 3.4878 2022/07/26 21:51:59 - mmengine - INFO - Epoch(train) [11][2980/3757] lr: 9.9240e-03 eta: 2 days, 21:34:03 time: 0.3909 data_time: 0.0154 memory: 17007 grad_norm: 4.1562 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3157 loss: 3.3157 2022/07/26 21:52:07 - mmengine - INFO - Epoch(train) [11][3000/3757] lr: 9.9240e-03 eta: 2 days, 21:33:54 time: 0.3910 data_time: 0.0155 memory: 17007 grad_norm: 4.3099 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7799 loss: 3.7799 2022/07/26 21:52:15 - mmengine - INFO - Epoch(train) [11][3020/3757] lr: 9.9240e-03 eta: 2 days, 21:33:47 time: 0.3954 data_time: 0.0153 memory: 17007 grad_norm: 4.2923 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5193 loss: 3.5193 2022/07/26 21:52:23 - mmengine - INFO - Epoch(train) [11][3040/3757] lr: 9.9240e-03 eta: 2 days, 21:33:39 time: 0.3924 data_time: 0.0170 memory: 17007 grad_norm: 4.3366 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7651 loss: 3.7651 2022/07/26 21:52:31 - mmengine - INFO - Epoch(train) [11][3060/3757] lr: 9.9240e-03 eta: 2 days, 21:33:34 time: 0.4029 data_time: 0.0151 memory: 17007 grad_norm: 4.2302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6696 loss: 3.6696 2022/07/26 21:52:38 - mmengine - INFO - Epoch(train) [11][3080/3757] lr: 9.9240e-03 eta: 2 days, 21:33:25 time: 0.3913 data_time: 0.0163 memory: 17007 grad_norm: 4.1858 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6205 loss: 3.6205 2022/07/26 21:52:46 - mmengine - INFO - Epoch(train) [11][3100/3757] lr: 9.9240e-03 eta: 2 days, 21:33:17 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 4.3614 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7583 loss: 3.7583 2022/07/26 21:52:54 - mmengine - INFO - Epoch(train) [11][3120/3757] lr: 9.9240e-03 eta: 2 days, 21:33:08 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 4.4035 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6539 loss: 3.6539 2022/07/26 21:53:02 - mmengine - INFO - Epoch(train) [11][3140/3757] lr: 9.9240e-03 eta: 2 days, 21:33:02 time: 0.3992 data_time: 0.0163 memory: 17007 grad_norm: 4.2786 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3361 loss: 3.3361 2022/07/26 21:53:10 - mmengine - INFO - Epoch(train) [11][3160/3757] lr: 9.9240e-03 eta: 2 days, 21:32:53 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 4.1987 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4542 loss: 3.4542 2022/07/26 21:53:18 - mmengine - INFO - Epoch(train) [11][3180/3757] lr: 9.9240e-03 eta: 2 days, 21:32:44 time: 0.3896 data_time: 0.0149 memory: 17007 grad_norm: 4.1827 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6360 loss: 3.6360 2022/07/26 21:53:26 - mmengine - INFO - Epoch(train) [11][3200/3757] lr: 9.9240e-03 eta: 2 days, 21:32:36 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 4.3536 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.9054 loss: 3.9054 2022/07/26 21:53:33 - mmengine - INFO - Epoch(train) [11][3220/3757] lr: 9.9240e-03 eta: 2 days, 21:32:27 time: 0.3907 data_time: 0.0151 memory: 17007 grad_norm: 4.1720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2646 loss: 3.2646 2022/07/26 21:53:41 - mmengine - INFO - Epoch(train) [11][3240/3757] lr: 9.9240e-03 eta: 2 days, 21:32:21 time: 0.3996 data_time: 0.0175 memory: 17007 grad_norm: 4.3249 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6565 loss: 3.6565 2022/07/26 21:53:49 - mmengine - INFO - Epoch(train) [11][3260/3757] lr: 9.9240e-03 eta: 2 days, 21:32:13 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 4.2959 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6159 loss: 3.6159 2022/07/26 21:53:57 - mmengine - INFO - Epoch(train) [11][3280/3757] lr: 9.9240e-03 eta: 2 days, 21:32:06 time: 0.3974 data_time: 0.0151 memory: 17007 grad_norm: 4.3475 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7269 loss: 3.7269 2022/07/26 21:54:05 - mmengine - INFO - Epoch(train) [11][3300/3757] lr: 9.9240e-03 eta: 2 days, 21:31:57 time: 0.3902 data_time: 0.0157 memory: 17007 grad_norm: 4.3394 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.6215 loss: 3.6215 2022/07/26 21:54:13 - mmengine - INFO - Epoch(train) [11][3320/3757] lr: 9.9240e-03 eta: 2 days, 21:31:48 time: 0.3904 data_time: 0.0158 memory: 17007 grad_norm: 4.3792 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6086 loss: 3.6086 2022/07/26 21:54:21 - mmengine - INFO - Epoch(train) [11][3340/3757] lr: 9.9240e-03 eta: 2 days, 21:31:41 time: 0.3990 data_time: 0.0167 memory: 17007 grad_norm: 4.2090 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8618 loss: 3.8618 2022/07/26 21:54:29 - mmengine - INFO - Epoch(train) [11][3360/3757] lr: 9.9240e-03 eta: 2 days, 21:31:33 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 4.1789 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5128 loss: 3.5128 2022/07/26 21:54:37 - mmengine - INFO - Epoch(train) [11][3380/3757] lr: 9.9240e-03 eta: 2 days, 21:31:31 time: 0.4123 data_time: 0.0148 memory: 17007 grad_norm: 4.3495 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5165 loss: 3.5165 2022/07/26 21:54:45 - mmengine - INFO - Epoch(train) [11][3400/3757] lr: 9.9240e-03 eta: 2 days, 21:31:23 time: 0.3951 data_time: 0.0165 memory: 17007 grad_norm: 4.1896 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6441 loss: 3.6441 2022/07/26 21:54:53 - mmengine - INFO - Epoch(train) [11][3420/3757] lr: 9.9240e-03 eta: 2 days, 21:31:14 time: 0.3909 data_time: 0.0147 memory: 17007 grad_norm: 4.3720 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5305 loss: 3.5305 2022/07/26 21:54:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:55:00 - mmengine - INFO - Epoch(train) [11][3440/3757] lr: 9.9240e-03 eta: 2 days, 21:31:06 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 4.2854 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5053 loss: 3.5053 2022/07/26 21:55:08 - mmengine - INFO - Epoch(train) [11][3460/3757] lr: 9.9240e-03 eta: 2 days, 21:30:58 time: 0.3923 data_time: 0.0142 memory: 17007 grad_norm: 4.2276 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6656 loss: 3.6656 2022/07/26 21:55:16 - mmengine - INFO - Epoch(train) [11][3480/3757] lr: 9.9240e-03 eta: 2 days, 21:30:49 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 4.2682 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6704 loss: 3.6704 2022/07/26 21:55:24 - mmengine - INFO - Epoch(train) [11][3500/3757] lr: 9.9240e-03 eta: 2 days, 21:30:41 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 4.3111 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9557 loss: 3.9557 2022/07/26 21:55:32 - mmengine - INFO - Epoch(train) [11][3520/3757] lr: 9.9240e-03 eta: 2 days, 21:30:33 time: 0.3950 data_time: 0.0169 memory: 17007 grad_norm: 4.2153 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.6146 loss: 3.6146 2022/07/26 21:55:40 - mmengine - INFO - Epoch(train) [11][3540/3757] lr: 9.9240e-03 eta: 2 days, 21:30:24 time: 0.3912 data_time: 0.0161 memory: 17007 grad_norm: 4.3143 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3951 loss: 3.3951 2022/07/26 21:55:48 - mmengine - INFO - Epoch(train) [11][3560/3757] lr: 9.9240e-03 eta: 2 days, 21:30:17 time: 0.3957 data_time: 0.0170 memory: 17007 grad_norm: 4.1363 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4672 loss: 3.4672 2022/07/26 21:55:55 - mmengine - INFO - Epoch(train) [11][3580/3757] lr: 9.9240e-03 eta: 2 days, 21:30:08 time: 0.3905 data_time: 0.0149 memory: 17007 grad_norm: 4.2997 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2311 loss: 3.2311 2022/07/26 21:56:03 - mmengine - INFO - Epoch(train) [11][3600/3757] lr: 9.9240e-03 eta: 2 days, 21:30:00 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 4.3901 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6536 loss: 3.6536 2022/07/26 21:56:11 - mmengine - INFO - Epoch(train) [11][3620/3757] lr: 9.9240e-03 eta: 2 days, 21:29:53 time: 0.3968 data_time: 0.0157 memory: 17007 grad_norm: 4.3260 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7587 loss: 3.7587 2022/07/26 21:56:19 - mmengine - INFO - Epoch(train) [11][3640/3757] lr: 9.9240e-03 eta: 2 days, 21:29:45 time: 0.3926 data_time: 0.0161 memory: 17007 grad_norm: 4.2817 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.7421 loss: 3.7421 2022/07/26 21:56:27 - mmengine - INFO - Epoch(train) [11][3660/3757] lr: 9.9240e-03 eta: 2 days, 21:29:38 time: 0.3992 data_time: 0.0158 memory: 17007 grad_norm: 4.2982 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5499 loss: 3.5499 2022/07/26 21:56:35 - mmengine - INFO - Epoch(train) [11][3680/3757] lr: 9.9240e-03 eta: 2 days, 21:29:30 time: 0.3941 data_time: 0.0181 memory: 17007 grad_norm: 4.2555 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7483 loss: 3.7483 2022/07/26 21:56:43 - mmengine - INFO - Epoch(train) [11][3700/3757] lr: 9.9240e-03 eta: 2 days, 21:29:22 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 4.3197 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.8372 loss: 3.8372 2022/07/26 21:56:51 - mmengine - INFO - Epoch(train) [11][3720/3757] lr: 9.9240e-03 eta: 2 days, 21:29:14 time: 0.3923 data_time: 0.0159 memory: 17007 grad_norm: 4.2394 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7098 loss: 3.7098 2022/07/26 21:56:59 - mmengine - INFO - Epoch(train) [11][3740/3757] lr: 9.9240e-03 eta: 2 days, 21:29:05 time: 0.3924 data_time: 0.0146 memory: 17007 grad_norm: 4.2808 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8953 loss: 3.8953 2022/07/26 21:57:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 21:57:05 - mmengine - INFO - Epoch(train) [11][3757/3757] lr: 9.9240e-03 eta: 2 days, 21:29:05 time: 0.3932 data_time: 0.0179 memory: 17007 grad_norm: 4.2560 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 3.6347 loss: 3.6347 2022/07/26 21:57:05 - mmengine - INFO - Saving checkpoint at 11 epochs 2022/07/26 21:57:16 - mmengine - INFO - Epoch(train) [12][20/3757] lr: 9.9081e-03 eta: 2 days, 21:27:23 time: 0.4426 data_time: 0.0664 memory: 17007 grad_norm: 4.2053 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3487 loss: 3.3487 2022/07/26 21:57:24 - mmengine - INFO - Epoch(train) [12][40/3757] lr: 9.9081e-03 eta: 2 days, 21:27:17 time: 0.3996 data_time: 0.0166 memory: 17007 grad_norm: 4.3102 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9661 loss: 3.9661 2022/07/26 21:57:32 - mmengine - INFO - Epoch(train) [12][60/3757] lr: 9.9081e-03 eta: 2 days, 21:27:08 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 4.2509 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3454 loss: 3.3454 2022/07/26 21:57:40 - mmengine - INFO - Epoch(train) [12][80/3757] lr: 9.9081e-03 eta: 2 days, 21:26:59 time: 0.3908 data_time: 0.0149 memory: 17007 grad_norm: 4.3129 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4649 loss: 3.4649 2022/07/26 21:57:48 - mmengine - INFO - Epoch(train) [12][100/3757] lr: 9.9081e-03 eta: 2 days, 21:26:51 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 4.2877 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6701 loss: 3.6701 2022/07/26 21:57:55 - mmengine - INFO - Epoch(train) [12][120/3757] lr: 9.9081e-03 eta: 2 days, 21:26:43 time: 0.3924 data_time: 0.0167 memory: 17007 grad_norm: 4.3616 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4510 loss: 3.4510 2022/07/26 21:58:03 - mmengine - INFO - Epoch(train) [12][140/3757] lr: 9.9081e-03 eta: 2 days, 21:26:35 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 4.2944 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5683 loss: 3.5683 2022/07/26 21:58:11 - mmengine - INFO - Epoch(train) [12][160/3757] lr: 9.9081e-03 eta: 2 days, 21:26:28 time: 0.3970 data_time: 0.0161 memory: 17007 grad_norm: 4.3147 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4516 loss: 3.4516 2022/07/26 21:58:19 - mmengine - INFO - Epoch(train) [12][180/3757] lr: 9.9081e-03 eta: 2 days, 21:26:20 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 4.3079 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8129 loss: 3.8129 2022/07/26 21:58:27 - mmengine - INFO - Epoch(train) [12][200/3757] lr: 9.9081e-03 eta: 2 days, 21:26:12 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 4.3319 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6578 loss: 3.6578 2022/07/26 21:58:35 - mmengine - INFO - Epoch(train) [12][220/3757] lr: 9.9081e-03 eta: 2 days, 21:26:03 time: 0.3911 data_time: 0.0161 memory: 17007 grad_norm: 4.3363 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8462 loss: 3.8462 2022/07/26 21:58:43 - mmengine - INFO - Epoch(train) [12][240/3757] lr: 9.9081e-03 eta: 2 days, 21:25:55 time: 0.3947 data_time: 0.0160 memory: 17007 grad_norm: 4.2670 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5321 loss: 3.5321 2022/07/26 21:58:50 - mmengine - INFO - Epoch(train) [12][260/3757] lr: 9.9081e-03 eta: 2 days, 21:25:46 time: 0.3904 data_time: 0.0155 memory: 17007 grad_norm: 4.2865 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5748 loss: 3.5748 2022/07/26 21:58:58 - mmengine - INFO - Epoch(train) [12][280/3757] lr: 9.9081e-03 eta: 2 days, 21:25:38 time: 0.3918 data_time: 0.0164 memory: 17007 grad_norm: 4.3709 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4626 loss: 3.4626 2022/07/26 21:59:06 - mmengine - INFO - Epoch(train) [12][300/3757] lr: 9.9081e-03 eta: 2 days, 21:25:30 time: 0.3950 data_time: 0.0169 memory: 17007 grad_norm: 4.2360 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6277 loss: 3.6277 2022/07/26 21:59:14 - mmengine - INFO - Epoch(train) [12][320/3757] lr: 9.9081e-03 eta: 2 days, 21:25:22 time: 0.3926 data_time: 0.0163 memory: 17007 grad_norm: 4.1929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5798 loss: 3.5798 2022/07/26 21:59:22 - mmengine - INFO - Epoch(train) [12][340/3757] lr: 9.9081e-03 eta: 2 days, 21:25:14 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 4.3509 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2970 loss: 3.2970 2022/07/26 21:59:30 - mmengine - INFO - Epoch(train) [12][360/3757] lr: 9.9081e-03 eta: 2 days, 21:25:05 time: 0.3917 data_time: 0.0165 memory: 17007 grad_norm: 4.3222 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7055 loss: 3.7055 2022/07/26 21:59:38 - mmengine - INFO - Epoch(train) [12][380/3757] lr: 9.9081e-03 eta: 2 days, 21:24:57 time: 0.3913 data_time: 0.0149 memory: 17007 grad_norm: 4.3355 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5839 loss: 3.5839 2022/07/26 21:59:45 - mmengine - INFO - Epoch(train) [12][400/3757] lr: 9.9081e-03 eta: 2 days, 21:24:49 time: 0.3940 data_time: 0.0163 memory: 17007 grad_norm: 4.2234 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5607 loss: 3.5607 2022/07/26 21:59:53 - mmengine - INFO - Epoch(train) [12][420/3757] lr: 9.9081e-03 eta: 2 days, 21:24:40 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 4.3209 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4482 loss: 3.4482 2022/07/26 22:00:01 - mmengine - INFO - Epoch(train) [12][440/3757] lr: 9.9081e-03 eta: 2 days, 21:24:32 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 4.3244 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4148 loss: 3.4148 2022/07/26 22:00:09 - mmengine - INFO - Epoch(train) [12][460/3757] lr: 9.9081e-03 eta: 2 days, 21:24:23 time: 0.3905 data_time: 0.0153 memory: 17007 grad_norm: 4.3923 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8312 loss: 3.8312 2022/07/26 22:00:17 - mmengine - INFO - Epoch(train) [12][480/3757] lr: 9.9081e-03 eta: 2 days, 21:24:15 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 4.2997 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7131 loss: 3.7131 2022/07/26 22:00:25 - mmengine - INFO - Epoch(train) [12][500/3757] lr: 9.9081e-03 eta: 2 days, 21:24:07 time: 0.3927 data_time: 0.0168 memory: 17007 grad_norm: 4.4817 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3659 loss: 3.3659 2022/07/26 22:00:33 - mmengine - INFO - Epoch(train) [12][520/3757] lr: 9.9081e-03 eta: 2 days, 21:23:59 time: 0.3950 data_time: 0.0154 memory: 17007 grad_norm: 4.2632 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4304 loss: 3.4304 2022/07/26 22:00:40 - mmengine - INFO - Epoch(train) [12][540/3757] lr: 9.9081e-03 eta: 2 days, 21:23:50 time: 0.3891 data_time: 0.0144 memory: 17007 grad_norm: 4.3445 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4866 loss: 3.4866 2022/07/26 22:00:48 - mmengine - INFO - Epoch(train) [12][560/3757] lr: 9.9081e-03 eta: 2 days, 21:23:46 time: 0.4060 data_time: 0.0166 memory: 17007 grad_norm: 4.2955 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5116 loss: 3.5116 2022/07/26 22:00:57 - mmengine - INFO - Epoch(train) [12][580/3757] lr: 9.9081e-03 eta: 2 days, 21:23:42 time: 0.4066 data_time: 0.0156 memory: 17007 grad_norm: 4.3686 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6049 loss: 3.6049 2022/07/26 22:01:05 - mmengine - INFO - Epoch(train) [12][600/3757] lr: 9.9081e-03 eta: 2 days, 21:23:35 time: 0.3965 data_time: 0.0158 memory: 17007 grad_norm: 4.3745 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5286 loss: 3.5286 2022/07/26 22:01:13 - mmengine - INFO - Epoch(train) [12][620/3757] lr: 9.9081e-03 eta: 2 days, 21:23:29 time: 0.4028 data_time: 0.0155 memory: 17007 grad_norm: 4.4487 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8586 loss: 3.8586 2022/07/26 22:01:20 - mmengine - INFO - Epoch(train) [12][640/3757] lr: 9.9081e-03 eta: 2 days, 21:23:21 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 4.2445 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6888 loss: 3.6888 2022/07/26 22:01:28 - mmengine - INFO - Epoch(train) [12][660/3757] lr: 9.9081e-03 eta: 2 days, 21:23:15 time: 0.4008 data_time: 0.0166 memory: 17007 grad_norm: 4.2427 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.6237 loss: 3.6237 2022/07/26 22:01:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:01:36 - mmengine - INFO - Epoch(train) [12][680/3757] lr: 9.9081e-03 eta: 2 days, 21:23:07 time: 0.3942 data_time: 0.0171 memory: 17007 grad_norm: 4.4194 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4844 loss: 3.4844 2022/07/26 22:01:44 - mmengine - INFO - Epoch(train) [12][700/3757] lr: 9.9081e-03 eta: 2 days, 21:23:00 time: 0.3964 data_time: 0.0155 memory: 17007 grad_norm: 4.3912 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5459 loss: 3.5459 2022/07/26 22:01:52 - mmengine - INFO - Epoch(train) [12][720/3757] lr: 9.9081e-03 eta: 2 days, 21:22:53 time: 0.3944 data_time: 0.0162 memory: 17007 grad_norm: 4.3359 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6024 loss: 3.6024 2022/07/26 22:02:00 - mmengine - INFO - Epoch(train) [12][740/3757] lr: 9.9081e-03 eta: 2 days, 21:22:44 time: 0.3904 data_time: 0.0143 memory: 17007 grad_norm: 4.3694 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1789 loss: 3.1789 2022/07/26 22:02:08 - mmengine - INFO - Epoch(train) [12][760/3757] lr: 9.9081e-03 eta: 2 days, 21:22:36 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 4.4560 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5610 loss: 3.5610 2022/07/26 22:02:16 - mmengine - INFO - Epoch(train) [12][780/3757] lr: 9.9081e-03 eta: 2 days, 21:22:28 time: 0.3960 data_time: 0.0151 memory: 17007 grad_norm: 4.2896 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4381 loss: 3.4381 2022/07/26 22:02:24 - mmengine - INFO - Epoch(train) [12][800/3757] lr: 9.9081e-03 eta: 2 days, 21:22:20 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 4.5316 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5141 loss: 3.5141 2022/07/26 22:02:32 - mmengine - INFO - Epoch(train) [12][820/3757] lr: 9.9081e-03 eta: 2 days, 21:22:15 time: 0.4034 data_time: 0.0142 memory: 17007 grad_norm: 4.3914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5601 loss: 3.5601 2022/07/26 22:02:39 - mmengine - INFO - Epoch(train) [12][840/3757] lr: 9.9081e-03 eta: 2 days, 21:22:07 time: 0.3922 data_time: 0.0166 memory: 17007 grad_norm: 4.3723 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4043 loss: 3.4043 2022/07/26 22:02:47 - mmengine - INFO - Epoch(train) [12][860/3757] lr: 9.9081e-03 eta: 2 days, 21:21:58 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 4.3684 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4417 loss: 3.4417 2022/07/26 22:02:55 - mmengine - INFO - Epoch(train) [12][880/3757] lr: 9.9081e-03 eta: 2 days, 21:21:49 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 4.4204 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9054 loss: 3.9054 2022/07/26 22:03:03 - mmengine - INFO - Epoch(train) [12][900/3757] lr: 9.9081e-03 eta: 2 days, 21:21:45 time: 0.4045 data_time: 0.0171 memory: 17007 grad_norm: 4.3928 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5245 loss: 3.5245 2022/07/26 22:03:11 - mmengine - INFO - Epoch(train) [12][920/3757] lr: 9.9081e-03 eta: 2 days, 21:21:36 time: 0.3917 data_time: 0.0163 memory: 17007 grad_norm: 4.3258 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4893 loss: 3.4893 2022/07/26 22:03:19 - mmengine - INFO - Epoch(train) [12][940/3757] lr: 9.9081e-03 eta: 2 days, 21:21:30 time: 0.4007 data_time: 0.0161 memory: 17007 grad_norm: 4.4874 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4556 loss: 3.4556 2022/07/26 22:03:27 - mmengine - INFO - Epoch(train) [12][960/3757] lr: 9.9081e-03 eta: 2 days, 21:21:23 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 4.4134 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5431 loss: 3.5431 2022/07/26 22:03:35 - mmengine - INFO - Epoch(train) [12][980/3757] lr: 9.9081e-03 eta: 2 days, 21:21:19 time: 0.4067 data_time: 0.0154 memory: 17007 grad_norm: 4.3926 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7692 loss: 3.7692 2022/07/26 22:03:43 - mmengine - INFO - Epoch(train) [12][1000/3757] lr: 9.9081e-03 eta: 2 days, 21:21:10 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 4.2723 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8657 loss: 3.8657 2022/07/26 22:03:51 - mmengine - INFO - Epoch(train) [12][1020/3757] lr: 9.9081e-03 eta: 2 days, 21:21:02 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 4.2834 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5412 loss: 3.5412 2022/07/26 22:03:59 - mmengine - INFO - Epoch(train) [12][1040/3757] lr: 9.9081e-03 eta: 2 days, 21:20:53 time: 0.3915 data_time: 0.0167 memory: 17007 grad_norm: 4.2449 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6823 loss: 3.6823 2022/07/26 22:04:06 - mmengine - INFO - Epoch(train) [12][1060/3757] lr: 9.9081e-03 eta: 2 days, 21:20:45 time: 0.3915 data_time: 0.0157 memory: 17007 grad_norm: 4.2855 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5204 loss: 3.5204 2022/07/26 22:04:15 - mmengine - INFO - Epoch(train) [12][1080/3757] lr: 9.9081e-03 eta: 2 days, 21:20:40 time: 0.4056 data_time: 0.0166 memory: 17007 grad_norm: 4.2394 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5415 loss: 3.5415 2022/07/26 22:04:22 - mmengine - INFO - Epoch(train) [12][1100/3757] lr: 9.9081e-03 eta: 2 days, 21:20:32 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 4.2702 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5082 loss: 3.5082 2022/07/26 22:04:30 - mmengine - INFO - Epoch(train) [12][1120/3757] lr: 9.9081e-03 eta: 2 days, 21:20:24 time: 0.3924 data_time: 0.0168 memory: 17007 grad_norm: 4.2594 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5326 loss: 3.5326 2022/07/26 22:04:38 - mmengine - INFO - Epoch(train) [12][1140/3757] lr: 9.9081e-03 eta: 2 days, 21:20:15 time: 0.3912 data_time: 0.0148 memory: 17007 grad_norm: 4.4616 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4042 loss: 3.4042 2022/07/26 22:04:46 - mmengine - INFO - Epoch(train) [12][1160/3757] lr: 9.9081e-03 eta: 2 days, 21:20:08 time: 0.3976 data_time: 0.0162 memory: 17007 grad_norm: 4.5153 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3307 loss: 3.3307 2022/07/26 22:04:54 - mmengine - INFO - Epoch(train) [12][1180/3757] lr: 9.9081e-03 eta: 2 days, 21:19:59 time: 0.3911 data_time: 0.0155 memory: 17007 grad_norm: 4.2940 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6500 loss: 3.6500 2022/07/26 22:05:02 - mmengine - INFO - Epoch(train) [12][1200/3757] lr: 9.9081e-03 eta: 2 days, 21:19:51 time: 0.3926 data_time: 0.0166 memory: 17007 grad_norm: 4.3129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5954 loss: 3.5954 2022/07/26 22:05:10 - mmengine - INFO - Epoch(train) [12][1220/3757] lr: 9.9081e-03 eta: 2 days, 21:19:42 time: 0.3905 data_time: 0.0154 memory: 17007 grad_norm: 4.3265 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7821 loss: 3.7821 2022/07/26 22:05:17 - mmengine - INFO - Epoch(train) [12][1240/3757] lr: 9.9081e-03 eta: 2 days, 21:19:34 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 4.2681 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7351 loss: 3.7351 2022/07/26 22:05:25 - mmengine - INFO - Epoch(train) [12][1260/3757] lr: 9.9081e-03 eta: 2 days, 21:19:27 time: 0.3993 data_time: 0.0153 memory: 17007 grad_norm: 4.3546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3512 loss: 3.3512 2022/07/26 22:05:33 - mmengine - INFO - Epoch(train) [12][1280/3757] lr: 9.9081e-03 eta: 2 days, 21:19:19 time: 0.3917 data_time: 0.0165 memory: 17007 grad_norm: 4.2302 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4435 loss: 3.4435 2022/07/26 22:05:41 - mmengine - INFO - Epoch(train) [12][1300/3757] lr: 9.9081e-03 eta: 2 days, 21:19:11 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 4.3673 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4861 loss: 3.4861 2022/07/26 22:05:49 - mmengine - INFO - Epoch(train) [12][1320/3757] lr: 9.9081e-03 eta: 2 days, 21:19:05 time: 0.4005 data_time: 0.0167 memory: 17007 grad_norm: 4.5857 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4888 loss: 3.4888 2022/07/26 22:05:57 - mmengine - INFO - Epoch(train) [12][1340/3757] lr: 9.9081e-03 eta: 2 days, 21:18:56 time: 0.3923 data_time: 0.0166 memory: 17007 grad_norm: 4.3195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4927 loss: 3.4927 2022/07/26 22:06:05 - mmengine - INFO - Epoch(train) [12][1360/3757] lr: 9.9081e-03 eta: 2 days, 21:18:48 time: 0.3929 data_time: 0.0164 memory: 17007 grad_norm: 4.3330 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3320 loss: 3.3320 2022/07/26 22:06:13 - mmengine - INFO - Epoch(train) [12][1380/3757] lr: 9.9081e-03 eta: 2 days, 21:18:41 time: 0.3954 data_time: 0.0160 memory: 17007 grad_norm: 4.3432 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3204 loss: 3.3204 2022/07/26 22:06:20 - mmengine - INFO - Epoch(train) [12][1400/3757] lr: 9.9081e-03 eta: 2 days, 21:18:32 time: 0.3914 data_time: 0.0160 memory: 17007 grad_norm: 4.2823 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7098 loss: 3.7098 2022/07/26 22:06:28 - mmengine - INFO - Epoch(train) [12][1420/3757] lr: 9.9081e-03 eta: 2 days, 21:18:24 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 4.3201 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3305 loss: 3.3305 2022/07/26 22:06:36 - mmengine - INFO - Epoch(train) [12][1440/3757] lr: 9.9081e-03 eta: 2 days, 21:18:17 time: 0.3948 data_time: 0.0163 memory: 17007 grad_norm: 4.3475 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6411 loss: 3.6411 2022/07/26 22:06:44 - mmengine - INFO - Epoch(train) [12][1460/3757] lr: 9.9081e-03 eta: 2 days, 21:18:08 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 4.4178 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7313 loss: 3.7313 2022/07/26 22:06:52 - mmengine - INFO - Epoch(train) [12][1480/3757] lr: 9.9081e-03 eta: 2 days, 21:18:01 time: 0.3969 data_time: 0.0165 memory: 17007 grad_norm: 4.5530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5951 loss: 3.5951 2022/07/26 22:07:00 - mmengine - INFO - Epoch(train) [12][1500/3757] lr: 9.9081e-03 eta: 2 days, 21:17:53 time: 0.3914 data_time: 0.0152 memory: 17007 grad_norm: 4.1481 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6127 loss: 3.6127 2022/07/26 22:07:08 - mmengine - INFO - Epoch(train) [12][1520/3757] lr: 9.9081e-03 eta: 2 days, 21:17:44 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 4.1758 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4421 loss: 3.4421 2022/07/26 22:07:16 - mmengine - INFO - Epoch(train) [12][1540/3757] lr: 9.9081e-03 eta: 2 days, 21:17:36 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 4.3736 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.5537 loss: 3.5537 2022/07/26 22:07:23 - mmengine - INFO - Epoch(train) [12][1560/3757] lr: 9.9081e-03 eta: 2 days, 21:17:28 time: 0.3938 data_time: 0.0169 memory: 17007 grad_norm: 4.3031 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5877 loss: 3.5877 2022/07/26 22:07:31 - mmengine - INFO - Epoch(train) [12][1580/3757] lr: 9.9081e-03 eta: 2 days, 21:17:19 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 4.3273 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5656 loss: 3.5656 2022/07/26 22:07:39 - mmengine - INFO - Epoch(train) [12][1600/3757] lr: 9.9081e-03 eta: 2 days, 21:17:11 time: 0.3924 data_time: 0.0163 memory: 17007 grad_norm: 4.5381 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5444 loss: 3.5444 2022/07/26 22:07:47 - mmengine - INFO - Epoch(train) [12][1620/3757] lr: 9.9081e-03 eta: 2 days, 21:17:03 time: 0.3932 data_time: 0.0164 memory: 17007 grad_norm: 4.4281 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.4622 loss: 3.4622 2022/07/26 22:07:55 - mmengine - INFO - Epoch(train) [12][1640/3757] lr: 9.9081e-03 eta: 2 days, 21:16:59 time: 0.4080 data_time: 0.0156 memory: 17007 grad_norm: 4.3485 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5905 loss: 3.5905 2022/07/26 22:08:03 - mmengine - INFO - Epoch(train) [12][1660/3757] lr: 9.9081e-03 eta: 2 days, 21:16:51 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 4.2920 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5166 loss: 3.5166 2022/07/26 22:08:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:08:11 - mmengine - INFO - Epoch(train) [12][1680/3757] lr: 9.9081e-03 eta: 2 days, 21:16:42 time: 0.3913 data_time: 0.0158 memory: 17007 grad_norm: 4.2172 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7931 loss: 3.7931 2022/07/26 22:08:19 - mmengine - INFO - Epoch(train) [12][1700/3757] lr: 9.9081e-03 eta: 2 days, 21:16:34 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 4.4351 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6805 loss: 3.6805 2022/07/26 22:08:26 - mmengine - INFO - Epoch(train) [12][1720/3757] lr: 9.9081e-03 eta: 2 days, 21:16:25 time: 0.3923 data_time: 0.0167 memory: 17007 grad_norm: 4.2101 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4133 loss: 3.4133 2022/07/26 22:08:34 - mmengine - INFO - Epoch(train) [12][1740/3757] lr: 9.9081e-03 eta: 2 days, 21:16:19 time: 0.3978 data_time: 0.0157 memory: 17007 grad_norm: 4.3983 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5652 loss: 3.5652 2022/07/26 22:08:42 - mmengine - INFO - Epoch(train) [12][1760/3757] lr: 9.9081e-03 eta: 2 days, 21:16:10 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 4.2560 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8861 loss: 3.8861 2022/07/26 22:08:50 - mmengine - INFO - Epoch(train) [12][1780/3757] lr: 9.9081e-03 eta: 2 days, 21:16:02 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 4.3506 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4546 loss: 3.4546 2022/07/26 22:08:58 - mmengine - INFO - Epoch(train) [12][1800/3757] lr: 9.9081e-03 eta: 2 days, 21:15:54 time: 0.3935 data_time: 0.0167 memory: 17007 grad_norm: 4.4676 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4836 loss: 3.4836 2022/07/26 22:09:06 - mmengine - INFO - Epoch(train) [12][1820/3757] lr: 9.9081e-03 eta: 2 days, 21:15:45 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 4.2836 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4349 loss: 3.4349 2022/07/26 22:09:14 - mmengine - INFO - Epoch(train) [12][1840/3757] lr: 9.9081e-03 eta: 2 days, 21:15:37 time: 0.3927 data_time: 0.0167 memory: 17007 grad_norm: 4.4346 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5933 loss: 3.5933 2022/07/26 22:09:21 - mmengine - INFO - Epoch(train) [12][1860/3757] lr: 9.9081e-03 eta: 2 days, 21:15:28 time: 0.3902 data_time: 0.0151 memory: 17007 grad_norm: 4.2408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5677 loss: 3.5677 2022/07/26 22:09:29 - mmengine - INFO - Epoch(train) [12][1880/3757] lr: 9.9081e-03 eta: 2 days, 21:15:20 time: 0.3933 data_time: 0.0172 memory: 17007 grad_norm: 4.2759 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6137 loss: 3.6137 2022/07/26 22:09:37 - mmengine - INFO - Epoch(train) [12][1900/3757] lr: 9.9081e-03 eta: 2 days, 21:15:15 time: 0.4053 data_time: 0.0172 memory: 17007 grad_norm: 4.5085 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4442 loss: 3.4442 2022/07/26 22:09:45 - mmengine - INFO - Epoch(train) [12][1920/3757] lr: 9.9081e-03 eta: 2 days, 21:15:07 time: 0.3910 data_time: 0.0158 memory: 17007 grad_norm: 4.4106 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.4853 loss: 3.4853 2022/07/26 22:09:53 - mmengine - INFO - Epoch(train) [12][1940/3757] lr: 9.9081e-03 eta: 2 days, 21:14:59 time: 0.3932 data_time: 0.0166 memory: 17007 grad_norm: 4.3380 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5152 loss: 3.5152 2022/07/26 22:10:01 - mmengine - INFO - Epoch(train) [12][1960/3757] lr: 9.9081e-03 eta: 2 days, 21:14:50 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 4.2683 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2921 loss: 3.2921 2022/07/26 22:10:09 - mmengine - INFO - Epoch(train) [12][1980/3757] lr: 9.9081e-03 eta: 2 days, 21:14:42 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 4.3579 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5567 loss: 3.5567 2022/07/26 22:10:17 - mmengine - INFO - Epoch(train) [12][2000/3757] lr: 9.9081e-03 eta: 2 days, 21:14:34 time: 0.3945 data_time: 0.0171 memory: 17007 grad_norm: 4.3195 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6538 loss: 3.6538 2022/07/26 22:10:25 - mmengine - INFO - Epoch(train) [12][2020/3757] lr: 9.9081e-03 eta: 2 days, 21:14:26 time: 0.3918 data_time: 0.0154 memory: 17007 grad_norm: 4.3770 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6086 loss: 3.6086 2022/07/26 22:10:32 - mmengine - INFO - Epoch(train) [12][2040/3757] lr: 9.9081e-03 eta: 2 days, 21:14:18 time: 0.3941 data_time: 0.0170 memory: 17007 grad_norm: 4.4121 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3807 loss: 3.3807 2022/07/26 22:10:40 - mmengine - INFO - Epoch(train) [12][2060/3757] lr: 9.9081e-03 eta: 2 days, 21:14:09 time: 0.3913 data_time: 0.0147 memory: 17007 grad_norm: 4.3183 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4531 loss: 3.4531 2022/07/26 22:10:48 - mmengine - INFO - Epoch(train) [12][2080/3757] lr: 9.9081e-03 eta: 2 days, 21:14:01 time: 0.3928 data_time: 0.0159 memory: 17007 grad_norm: 4.2872 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.5587 loss: 3.5587 2022/07/26 22:10:56 - mmengine - INFO - Epoch(train) [12][2100/3757] lr: 9.9081e-03 eta: 2 days, 21:13:53 time: 0.3919 data_time: 0.0158 memory: 17007 grad_norm: 4.2677 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5053 loss: 3.5053 2022/07/26 22:11:04 - mmengine - INFO - Epoch(train) [12][2120/3757] lr: 9.9081e-03 eta: 2 days, 21:13:48 time: 0.4063 data_time: 0.0158 memory: 17007 grad_norm: 4.3707 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5677 loss: 3.5677 2022/07/26 22:11:12 - mmengine - INFO - Epoch(train) [12][2140/3757] lr: 9.9081e-03 eta: 2 days, 21:13:40 time: 0.3909 data_time: 0.0145 memory: 17007 grad_norm: 4.3141 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.2968 loss: 3.2968 2022/07/26 22:11:20 - mmengine - INFO - Epoch(train) [12][2160/3757] lr: 9.9081e-03 eta: 2 days, 21:13:31 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 4.2910 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4299 loss: 3.4299 2022/07/26 22:11:28 - mmengine - INFO - Epoch(train) [12][2180/3757] lr: 9.9081e-03 eta: 2 days, 21:13:23 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 4.3207 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5737 loss: 3.5737 2022/07/26 22:11:35 - mmengine - INFO - Epoch(train) [12][2200/3757] lr: 9.9081e-03 eta: 2 days, 21:13:15 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 4.3206 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3310 loss: 3.3310 2022/07/26 22:11:43 - mmengine - INFO - Epoch(train) [12][2220/3757] lr: 9.9081e-03 eta: 2 days, 21:13:06 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 4.4020 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5507 loss: 3.5507 2022/07/26 22:11:51 - mmengine - INFO - Epoch(train) [12][2240/3757] lr: 9.9081e-03 eta: 2 days, 21:12:58 time: 0.3920 data_time: 0.0164 memory: 17007 grad_norm: 4.2480 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.8701 loss: 3.8701 2022/07/26 22:11:59 - mmengine - INFO - Epoch(train) [12][2260/3757] lr: 9.9081e-03 eta: 2 days, 21:12:49 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 4.1992 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3975 loss: 3.3975 2022/07/26 22:12:07 - mmengine - INFO - Epoch(train) [12][2280/3757] lr: 9.9081e-03 eta: 2 days, 21:12:43 time: 0.3988 data_time: 0.0158 memory: 17007 grad_norm: 4.3505 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.8182 loss: 3.8182 2022/07/26 22:12:15 - mmengine - INFO - Epoch(train) [12][2300/3757] lr: 9.9081e-03 eta: 2 days, 21:12:34 time: 0.3914 data_time: 0.0161 memory: 17007 grad_norm: 4.3792 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.4835 loss: 3.4835 2022/07/26 22:12:23 - mmengine - INFO - Epoch(train) [12][2320/3757] lr: 9.9081e-03 eta: 2 days, 21:12:26 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 4.2565 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5245 loss: 3.5245 2022/07/26 22:12:30 - mmengine - INFO - Epoch(train) [12][2340/3757] lr: 9.9081e-03 eta: 2 days, 21:12:17 time: 0.3901 data_time: 0.0151 memory: 17007 grad_norm: 4.2591 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6813 loss: 3.6813 2022/07/26 22:12:38 - mmengine - INFO - Epoch(train) [12][2360/3757] lr: 9.9081e-03 eta: 2 days, 21:12:09 time: 0.3921 data_time: 0.0170 memory: 17007 grad_norm: 4.4186 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5597 loss: 3.5597 2022/07/26 22:12:46 - mmengine - INFO - Epoch(train) [12][2380/3757] lr: 9.9081e-03 eta: 2 days, 21:12:01 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 4.4421 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3923 loss: 3.3923 2022/07/26 22:12:54 - mmengine - INFO - Epoch(train) [12][2400/3757] lr: 9.9081e-03 eta: 2 days, 21:11:52 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 4.3820 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5080 loss: 3.5080 2022/07/26 22:13:02 - mmengine - INFO - Epoch(train) [12][2420/3757] lr: 9.9081e-03 eta: 2 days, 21:11:43 time: 0.3901 data_time: 0.0145 memory: 17007 grad_norm: 4.4109 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1312 loss: 3.1312 2022/07/26 22:13:10 - mmengine - INFO - Epoch(train) [12][2440/3757] lr: 9.9081e-03 eta: 2 days, 21:11:35 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 4.3944 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2654 loss: 3.2654 2022/07/26 22:13:18 - mmengine - INFO - Epoch(train) [12][2460/3757] lr: 9.9081e-03 eta: 2 days, 21:11:27 time: 0.3922 data_time: 0.0162 memory: 17007 grad_norm: 4.2855 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4983 loss: 3.4983 2022/07/26 22:13:26 - mmengine - INFO - Epoch(train) [12][2480/3757] lr: 9.9081e-03 eta: 2 days, 21:11:22 time: 0.4031 data_time: 0.0156 memory: 17007 grad_norm: 4.3868 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.5572 loss: 3.5572 2022/07/26 22:13:33 - mmengine - INFO - Epoch(train) [12][2500/3757] lr: 9.9081e-03 eta: 2 days, 21:11:14 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 4.2984 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.4597 loss: 3.4597 2022/07/26 22:13:41 - mmengine - INFO - Epoch(train) [12][2520/3757] lr: 9.9081e-03 eta: 2 days, 21:11:05 time: 0.3912 data_time: 0.0159 memory: 17007 grad_norm: 4.4102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.6027 loss: 3.6027 2022/07/26 22:13:49 - mmengine - INFO - Epoch(train) [12][2540/3757] lr: 9.9081e-03 eta: 2 days, 21:11:01 time: 0.4068 data_time: 0.0161 memory: 17007 grad_norm: 4.4167 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5343 loss: 3.5343 2022/07/26 22:13:57 - mmengine - INFO - Epoch(train) [12][2560/3757] lr: 9.9081e-03 eta: 2 days, 21:10:53 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 4.3625 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4860 loss: 3.4860 2022/07/26 22:14:05 - mmengine - INFO - Epoch(train) [12][2580/3757] lr: 9.9081e-03 eta: 2 days, 21:10:45 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 4.3491 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.8124 loss: 3.8124 2022/07/26 22:14:13 - mmengine - INFO - Epoch(train) [12][2600/3757] lr: 9.9081e-03 eta: 2 days, 21:10:36 time: 0.3924 data_time: 0.0166 memory: 17007 grad_norm: 4.4272 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5411 loss: 3.5411 2022/07/26 22:14:21 - mmengine - INFO - Epoch(train) [12][2620/3757] lr: 9.9081e-03 eta: 2 days, 21:10:27 time: 0.3900 data_time: 0.0152 memory: 17007 grad_norm: 4.3510 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.4264 loss: 3.4264 2022/07/26 22:14:29 - mmengine - INFO - Epoch(train) [12][2640/3757] lr: 9.9081e-03 eta: 2 days, 21:10:19 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 4.3645 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8903 loss: 3.8903 2022/07/26 22:14:36 - mmengine - INFO - Epoch(train) [12][2660/3757] lr: 9.9081e-03 eta: 2 days, 21:10:10 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 4.3145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.5898 loss: 3.5898 2022/07/26 22:14:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:14:44 - mmengine - INFO - Epoch(train) [12][2680/3757] lr: 9.9081e-03 eta: 2 days, 21:10:04 time: 0.3994 data_time: 0.0169 memory: 17007 grad_norm: 4.3193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.5143 loss: 3.5143 2022/07/26 22:14:52 - mmengine - INFO - Epoch(train) [12][2700/3757] lr: 9.9081e-03 eta: 2 days, 21:09:55 time: 0.3911 data_time: 0.0150 memory: 17007 grad_norm: 4.2699 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3696 loss: 3.3696 2022/07/26 22:15:00 - mmengine - INFO - Epoch(train) [12][2720/3757] lr: 9.9081e-03 eta: 2 days, 21:09:47 time: 0.3906 data_time: 0.0157 memory: 17007 grad_norm: 4.3881 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6473 loss: 3.6473 2022/07/26 22:15:08 - mmengine - INFO - Epoch(train) [12][2740/3757] lr: 9.9081e-03 eta: 2 days, 21:09:38 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 4.4397 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.5875 loss: 3.5875 2022/07/26 22:15:16 - mmengine - INFO - Epoch(train) [12][2760/3757] lr: 9.9081e-03 eta: 2 days, 21:09:30 time: 0.3933 data_time: 0.0170 memory: 17007 grad_norm: 4.3320 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3199 loss: 3.3199 2022/07/26 22:15:24 - mmengine - INFO - Epoch(train) [12][2780/3757] lr: 9.9081e-03 eta: 2 days, 21:09:23 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 4.4081 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3636 loss: 3.3636 2022/07/26 22:15:31 - mmengine - INFO - Epoch(train) [12][2800/3757] lr: 9.9081e-03 eta: 2 days, 21:09:14 time: 0.3907 data_time: 0.0167 memory: 17007 grad_norm: 4.4112 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6755 loss: 3.6755 2022/07/26 22:15:39 - mmengine - INFO - Epoch(train) [12][2820/3757] lr: 9.9081e-03 eta: 2 days, 21:09:06 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 4.3470 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8202 loss: 3.8202 2022/07/26 22:15:47 - mmengine - INFO - Epoch(train) [12][2840/3757] lr: 9.9081e-03 eta: 2 days, 21:08:58 time: 0.3943 data_time: 0.0172 memory: 17007 grad_norm: 4.2155 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3769 loss: 3.3769 2022/07/26 22:15:55 - mmengine - INFO - Epoch(train) [12][2860/3757] lr: 9.9081e-03 eta: 2 days, 21:08:50 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 4.3167 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5165 loss: 3.5165 2022/07/26 22:16:03 - mmengine - INFO - Epoch(train) [12][2880/3757] lr: 9.9081e-03 eta: 2 days, 21:08:42 time: 0.3916 data_time: 0.0168 memory: 17007 grad_norm: 4.4247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.7927 loss: 3.7927 2022/07/26 22:16:11 - mmengine - INFO - Epoch(train) [12][2900/3757] lr: 9.9081e-03 eta: 2 days, 21:08:33 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 4.3578 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5942 loss: 3.5942 2022/07/26 22:16:19 - mmengine - INFO - Epoch(train) [12][2920/3757] lr: 9.9081e-03 eta: 2 days, 21:08:25 time: 0.3927 data_time: 0.0165 memory: 17007 grad_norm: 4.3535 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4846 loss: 3.4846 2022/07/26 22:16:26 - mmengine - INFO - Epoch(train) [12][2940/3757] lr: 9.9081e-03 eta: 2 days, 21:08:17 time: 0.3912 data_time: 0.0152 memory: 17007 grad_norm: 4.4646 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8434 loss: 3.8434 2022/07/26 22:16:34 - mmengine - INFO - Epoch(train) [12][2960/3757] lr: 9.9081e-03 eta: 2 days, 21:08:10 time: 0.3974 data_time: 0.0176 memory: 17007 grad_norm: 4.3315 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2757 loss: 3.2757 2022/07/26 22:16:42 - mmengine - INFO - Epoch(train) [12][2980/3757] lr: 9.9081e-03 eta: 2 days, 21:08:02 time: 0.3942 data_time: 0.0159 memory: 17007 grad_norm: 4.2974 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4644 loss: 3.4644 2022/07/26 22:16:50 - mmengine - INFO - Epoch(train) [12][3000/3757] lr: 9.9081e-03 eta: 2 days, 21:07:53 time: 0.3913 data_time: 0.0166 memory: 17007 grad_norm: 4.3775 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4694 loss: 3.4694 2022/07/26 22:16:58 - mmengine - INFO - Epoch(train) [12][3020/3757] lr: 9.9081e-03 eta: 2 days, 21:07:47 time: 0.3987 data_time: 0.0160 memory: 17007 grad_norm: 4.4489 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5659 loss: 3.5659 2022/07/26 22:17:06 - mmengine - INFO - Epoch(train) [12][3040/3757] lr: 9.9081e-03 eta: 2 days, 21:07:39 time: 0.3932 data_time: 0.0168 memory: 17007 grad_norm: 4.4966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3379 loss: 3.3379 2022/07/26 22:17:14 - mmengine - INFO - Epoch(train) [12][3060/3757] lr: 9.9081e-03 eta: 2 days, 21:07:31 time: 0.3931 data_time: 0.0165 memory: 17007 grad_norm: 4.3328 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4212 loss: 3.4212 2022/07/26 22:17:22 - mmengine - INFO - Epoch(train) [12][3080/3757] lr: 9.9081e-03 eta: 2 days, 21:07:23 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 4.2501 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4015 loss: 3.4015 2022/07/26 22:17:30 - mmengine - INFO - Epoch(train) [12][3100/3757] lr: 9.9081e-03 eta: 2 days, 21:07:14 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 4.3184 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6156 loss: 3.6156 2022/07/26 22:17:37 - mmengine - INFO - Epoch(train) [12][3120/3757] lr: 9.9081e-03 eta: 2 days, 21:07:06 time: 0.3932 data_time: 0.0166 memory: 17007 grad_norm: 4.4253 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4724 loss: 3.4724 2022/07/26 22:17:45 - mmengine - INFO - Epoch(train) [12][3140/3757] lr: 9.9081e-03 eta: 2 days, 21:06:59 time: 0.3974 data_time: 0.0139 memory: 17007 grad_norm: 4.1941 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3143 loss: 3.3143 2022/07/26 22:17:53 - mmengine - INFO - Epoch(train) [12][3160/3757] lr: 9.9081e-03 eta: 2 days, 21:06:51 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 4.3817 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4979 loss: 3.4979 2022/07/26 22:18:01 - mmengine - INFO - Epoch(train) [12][3180/3757] lr: 9.9081e-03 eta: 2 days, 21:06:42 time: 0.3910 data_time: 0.0153 memory: 17007 grad_norm: 4.3083 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6117 loss: 3.6117 2022/07/26 22:18:09 - mmengine - INFO - Epoch(train) [12][3200/3757] lr: 9.9081e-03 eta: 2 days, 21:06:36 time: 0.4013 data_time: 0.0155 memory: 17007 grad_norm: 4.2727 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2708 loss: 3.2708 2022/07/26 22:18:17 - mmengine - INFO - Epoch(train) [12][3220/3757] lr: 9.9081e-03 eta: 2 days, 21:06:28 time: 0.3915 data_time: 0.0160 memory: 17007 grad_norm: 4.3529 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3814 loss: 3.3814 2022/07/26 22:18:25 - mmengine - INFO - Epoch(train) [12][3240/3757] lr: 9.9081e-03 eta: 2 days, 21:06:20 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 4.3821 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5340 loss: 3.5340 2022/07/26 22:18:33 - mmengine - INFO - Epoch(train) [12][3260/3757] lr: 9.9081e-03 eta: 2 days, 21:06:11 time: 0.3900 data_time: 0.0141 memory: 17007 grad_norm: 4.2973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3818 loss: 3.3818 2022/07/26 22:18:40 - mmengine - INFO - Epoch(train) [12][3280/3757] lr: 9.9081e-03 eta: 2 days, 21:06:03 time: 0.3928 data_time: 0.0167 memory: 17007 grad_norm: 4.3758 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3894 loss: 3.3894 2022/07/26 22:18:48 - mmengine - INFO - Epoch(train) [12][3300/3757] lr: 9.9081e-03 eta: 2 days, 21:05:55 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 4.2073 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7602 loss: 3.7602 2022/07/26 22:18:56 - mmengine - INFO - Epoch(train) [12][3320/3757] lr: 9.9081e-03 eta: 2 days, 21:05:49 time: 0.3992 data_time: 0.0160 memory: 17007 grad_norm: 4.3540 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4026 loss: 3.4026 2022/07/26 22:19:04 - mmengine - INFO - Epoch(train) [12][3340/3757] lr: 9.9081e-03 eta: 2 days, 21:05:41 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 4.5087 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.7148 loss: 3.7148 2022/07/26 22:19:12 - mmengine - INFO - Epoch(train) [12][3360/3757] lr: 9.9081e-03 eta: 2 days, 21:05:33 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 4.4239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.5546 loss: 3.5546 2022/07/26 22:19:20 - mmengine - INFO - Epoch(train) [12][3380/3757] lr: 9.9081e-03 eta: 2 days, 21:05:24 time: 0.3912 data_time: 0.0146 memory: 17007 grad_norm: 4.3388 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5786 loss: 3.5786 2022/07/26 22:19:28 - mmengine - INFO - Epoch(train) [12][3400/3757] lr: 9.9081e-03 eta: 2 days, 21:05:19 time: 0.4019 data_time: 0.0164 memory: 17007 grad_norm: 4.3511 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2951 loss: 3.2951 2022/07/26 22:19:36 - mmengine - INFO - Epoch(train) [12][3420/3757] lr: 9.9081e-03 eta: 2 days, 21:05:12 time: 0.3978 data_time: 0.0159 memory: 17007 grad_norm: 4.3987 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4885 loss: 3.4885 2022/07/26 22:19:44 - mmengine - INFO - Epoch(train) [12][3440/3757] lr: 9.9081e-03 eta: 2 days, 21:05:04 time: 0.3944 data_time: 0.0163 memory: 17007 grad_norm: 4.3690 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5437 loss: 3.5437 2022/07/26 22:19:52 - mmengine - INFO - Epoch(train) [12][3460/3757] lr: 9.9081e-03 eta: 2 days, 21:04:56 time: 0.3908 data_time: 0.0150 memory: 17007 grad_norm: 4.2924 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2540 loss: 3.2540 2022/07/26 22:20:00 - mmengine - INFO - Epoch(train) [12][3480/3757] lr: 9.9081e-03 eta: 2 days, 21:04:53 time: 0.4126 data_time: 0.0170 memory: 17007 grad_norm: 4.3338 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5346 loss: 3.5346 2022/07/26 22:20:08 - mmengine - INFO - Epoch(train) [12][3500/3757] lr: 9.9081e-03 eta: 2 days, 21:04:44 time: 0.3906 data_time: 0.0146 memory: 17007 grad_norm: 4.3481 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5120 loss: 3.5120 2022/07/26 22:20:15 - mmengine - INFO - Epoch(train) [12][3520/3757] lr: 9.9081e-03 eta: 2 days, 21:04:36 time: 0.3925 data_time: 0.0165 memory: 17007 grad_norm: 4.3866 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6656 loss: 3.6656 2022/07/26 22:20:23 - mmengine - INFO - Epoch(train) [12][3540/3757] lr: 9.9081e-03 eta: 2 days, 21:04:27 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 4.4522 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5386 loss: 3.5386 2022/07/26 22:20:31 - mmengine - INFO - Epoch(train) [12][3560/3757] lr: 9.9081e-03 eta: 2 days, 21:04:19 time: 0.3910 data_time: 0.0162 memory: 17007 grad_norm: 4.4322 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5332 loss: 3.5332 2022/07/26 22:20:39 - mmengine - INFO - Epoch(train) [12][3580/3757] lr: 9.9081e-03 eta: 2 days, 21:04:10 time: 0.3918 data_time: 0.0145 memory: 17007 grad_norm: 4.3701 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4444 loss: 3.4444 2022/07/26 22:20:47 - mmengine - INFO - Epoch(train) [12][3600/3757] lr: 9.9081e-03 eta: 2 days, 21:04:02 time: 0.3915 data_time: 0.0166 memory: 17007 grad_norm: 4.4227 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5918 loss: 3.5918 2022/07/26 22:20:55 - mmengine - INFO - Epoch(train) [12][3620/3757] lr: 9.9081e-03 eta: 2 days, 21:03:54 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 4.4086 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2853 loss: 3.2853 2022/07/26 22:21:03 - mmengine - INFO - Epoch(train) [12][3640/3757] lr: 9.9081e-03 eta: 2 days, 21:03:45 time: 0.3906 data_time: 0.0155 memory: 17007 grad_norm: 4.4081 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5495 loss: 3.5495 2022/07/26 22:21:10 - mmengine - INFO - Epoch(train) [12][3660/3757] lr: 9.9081e-03 eta: 2 days, 21:03:36 time: 0.3912 data_time: 0.0147 memory: 17007 grad_norm: 4.3242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4289 loss: 3.4289 2022/07/26 22:21:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:21:18 - mmengine - INFO - Epoch(train) [12][3680/3757] lr: 9.9081e-03 eta: 2 days, 21:03:30 time: 0.3982 data_time: 0.0163 memory: 17007 grad_norm: 4.4441 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.7539 loss: 3.7539 2022/07/26 22:21:26 - mmengine - INFO - Epoch(train) [12][3700/3757] lr: 9.9081e-03 eta: 2 days, 21:03:21 time: 0.3918 data_time: 0.0138 memory: 17007 grad_norm: 4.3007 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3571 loss: 3.3571 2022/07/26 22:21:34 - mmengine - INFO - Epoch(train) [12][3720/3757] lr: 9.9081e-03 eta: 2 days, 21:03:15 time: 0.3990 data_time: 0.0169 memory: 17007 grad_norm: 4.3577 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3006 loss: 3.3006 2022/07/26 22:21:42 - mmengine - INFO - Epoch(train) [12][3740/3757] lr: 9.9081e-03 eta: 2 days, 21:03:06 time: 0.3910 data_time: 0.0158 memory: 17007 grad_norm: 4.4447 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5072 loss: 3.5072 2022/07/26 22:21:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:21:49 - mmengine - INFO - Epoch(train) [12][3757/3757] lr: 9.9081e-03 eta: 2 days, 21:03:06 time: 0.3901 data_time: 0.0171 memory: 17007 grad_norm: 4.2583 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 3.2982 loss: 3.2982 2022/07/26 22:21:49 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/07/26 22:22:00 - mmengine - INFO - Epoch(train) [13][20/3757] lr: 9.8907e-03 eta: 2 days, 21:01:29 time: 0.4342 data_time: 0.0589 memory: 17007 grad_norm: 4.4200 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.4384 loss: 3.4384 2022/07/26 22:22:08 - mmengine - INFO - Epoch(train) [13][40/3757] lr: 9.8907e-03 eta: 2 days, 21:01:21 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 4.3693 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5374 loss: 3.5374 2022/07/26 22:22:16 - mmengine - INFO - Epoch(train) [13][60/3757] lr: 9.8907e-03 eta: 2 days, 21:01:17 time: 0.4084 data_time: 0.0156 memory: 17007 grad_norm: 4.3945 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3665 loss: 3.3665 2022/07/26 22:22:24 - mmengine - INFO - Epoch(train) [13][80/3757] lr: 9.8907e-03 eta: 2 days, 21:01:10 time: 0.3949 data_time: 0.0157 memory: 17007 grad_norm: 4.4720 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5940 loss: 3.5940 2022/07/26 22:22:32 - mmengine - INFO - Epoch(train) [13][100/3757] lr: 9.8907e-03 eta: 2 days, 21:01:01 time: 0.3904 data_time: 0.0149 memory: 17007 grad_norm: 4.3203 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4335 loss: 3.4335 2022/07/26 22:22:40 - mmengine - INFO - Epoch(train) [13][120/3757] lr: 9.8907e-03 eta: 2 days, 21:00:53 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 4.3702 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3776 loss: 3.3776 2022/07/26 22:22:48 - mmengine - INFO - Epoch(train) [13][140/3757] lr: 9.8907e-03 eta: 2 days, 21:00:46 time: 0.3979 data_time: 0.0168 memory: 17007 grad_norm: 4.5131 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4295 loss: 3.4295 2022/07/26 22:22:56 - mmengine - INFO - Epoch(train) [13][160/3757] lr: 9.8907e-03 eta: 2 days, 21:00:41 time: 0.4034 data_time: 0.0166 memory: 17007 grad_norm: 4.3576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.6113 loss: 3.6113 2022/07/26 22:23:03 - mmengine - INFO - Epoch(train) [13][180/3757] lr: 9.8907e-03 eta: 2 days, 21:00:33 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 4.3122 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3502 loss: 3.3502 2022/07/26 22:23:11 - mmengine - INFO - Epoch(train) [13][200/3757] lr: 9.8907e-03 eta: 2 days, 21:00:25 time: 0.3911 data_time: 0.0164 memory: 17007 grad_norm: 4.2762 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5644 loss: 3.5644 2022/07/26 22:23:19 - mmengine - INFO - Epoch(train) [13][220/3757] lr: 9.8907e-03 eta: 2 days, 21:00:16 time: 0.3902 data_time: 0.0158 memory: 17007 grad_norm: 4.4728 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3043 loss: 3.3043 2022/07/26 22:23:27 - mmengine - INFO - Epoch(train) [13][240/3757] lr: 9.8907e-03 eta: 2 days, 21:00:10 time: 0.4003 data_time: 0.0166 memory: 17007 grad_norm: 4.2813 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2530 loss: 3.2530 2022/07/26 22:23:35 - mmengine - INFO - Epoch(train) [13][260/3757] lr: 9.8907e-03 eta: 2 days, 21:00:03 time: 0.3967 data_time: 0.0156 memory: 17007 grad_norm: 4.2763 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.1629 loss: 3.1629 2022/07/26 22:23:43 - mmengine - INFO - Epoch(train) [13][280/3757] lr: 9.8907e-03 eta: 2 days, 20:59:54 time: 0.3915 data_time: 0.0161 memory: 17007 grad_norm: 4.4030 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4579 loss: 3.4579 2022/07/26 22:23:51 - mmengine - INFO - Epoch(train) [13][300/3757] lr: 9.8907e-03 eta: 2 days, 20:59:46 time: 0.3937 data_time: 0.0145 memory: 17007 grad_norm: 4.2466 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6633 loss: 3.6633 2022/07/26 22:23:59 - mmengine - INFO - Epoch(train) [13][320/3757] lr: 9.8907e-03 eta: 2 days, 20:59:41 time: 0.4044 data_time: 0.0161 memory: 17007 grad_norm: 4.3495 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3744 loss: 3.3744 2022/07/26 22:24:07 - mmengine - INFO - Epoch(train) [13][340/3757] lr: 9.8907e-03 eta: 2 days, 20:59:33 time: 0.3914 data_time: 0.0152 memory: 17007 grad_norm: 4.4411 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3222 loss: 3.3222 2022/07/26 22:24:15 - mmengine - INFO - Epoch(train) [13][360/3757] lr: 9.8907e-03 eta: 2 days, 20:59:25 time: 0.3925 data_time: 0.0170 memory: 17007 grad_norm: 4.3407 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2585 loss: 3.2585 2022/07/26 22:24:22 - mmengine - INFO - Epoch(train) [13][380/3757] lr: 9.8907e-03 eta: 2 days, 20:59:16 time: 0.3919 data_time: 0.0163 memory: 17007 grad_norm: 4.3645 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6156 loss: 3.6156 2022/07/26 22:24:30 - mmengine - INFO - Epoch(train) [13][400/3757] lr: 9.8907e-03 eta: 2 days, 20:59:08 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 4.4404 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5827 loss: 3.5827 2022/07/26 22:24:38 - mmengine - INFO - Epoch(train) [13][420/3757] lr: 9.8907e-03 eta: 2 days, 20:59:00 time: 0.3912 data_time: 0.0159 memory: 17007 grad_norm: 4.3940 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6766 loss: 3.6766 2022/07/26 22:24:46 - mmengine - INFO - Epoch(train) [13][440/3757] lr: 9.8907e-03 eta: 2 days, 20:58:52 time: 0.3943 data_time: 0.0161 memory: 17007 grad_norm: 4.3721 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4000 loss: 3.4000 2022/07/26 22:24:54 - mmengine - INFO - Epoch(train) [13][460/3757] lr: 9.8907e-03 eta: 2 days, 20:58:43 time: 0.3909 data_time: 0.0151 memory: 17007 grad_norm: 4.5327 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4585 loss: 3.4585 2022/07/26 22:25:02 - mmengine - INFO - Epoch(train) [13][480/3757] lr: 9.8907e-03 eta: 2 days, 20:58:34 time: 0.3904 data_time: 0.0152 memory: 17007 grad_norm: 4.3691 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6880 loss: 3.6880 2022/07/26 22:25:10 - mmengine - INFO - Epoch(train) [13][500/3757] lr: 9.8907e-03 eta: 2 days, 20:58:32 time: 0.4132 data_time: 0.0160 memory: 17007 grad_norm: 4.5057 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5321 loss: 3.5321 2022/07/26 22:25:18 - mmengine - INFO - Epoch(train) [13][520/3757] lr: 9.8907e-03 eta: 2 days, 20:58:23 time: 0.3914 data_time: 0.0168 memory: 17007 grad_norm: 4.4896 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2933 loss: 3.2933 2022/07/26 22:25:26 - mmengine - INFO - Epoch(train) [13][540/3757] lr: 9.8907e-03 eta: 2 days, 20:58:15 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 4.4105 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3445 loss: 3.3445 2022/07/26 22:25:33 - mmengine - INFO - Epoch(train) [13][560/3757] lr: 9.8907e-03 eta: 2 days, 20:58:07 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 4.4173 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5165 loss: 3.5165 2022/07/26 22:25:41 - mmengine - INFO - Epoch(train) [13][580/3757] lr: 9.8907e-03 eta: 2 days, 20:57:59 time: 0.3912 data_time: 0.0160 memory: 17007 grad_norm: 4.4223 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4951 loss: 3.4951 2022/07/26 22:25:49 - mmengine - INFO - Epoch(train) [13][600/3757] lr: 9.8907e-03 eta: 2 days, 20:57:51 time: 0.3963 data_time: 0.0168 memory: 17007 grad_norm: 4.4715 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5215 loss: 3.5215 2022/07/26 22:25:57 - mmengine - INFO - Epoch(train) [13][620/3757] lr: 9.8907e-03 eta: 2 days, 20:57:44 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 4.3861 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3921 loss: 3.3921 2022/07/26 22:26:05 - mmengine - INFO - Epoch(train) [13][640/3757] lr: 9.8907e-03 eta: 2 days, 20:57:36 time: 0.3944 data_time: 0.0163 memory: 17007 grad_norm: 4.7023 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5235 loss: 3.5235 2022/07/26 22:26:13 - mmengine - INFO - Epoch(train) [13][660/3757] lr: 9.8907e-03 eta: 2 days, 20:57:28 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 4.5600 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5711 loss: 3.5711 2022/07/26 22:26:21 - mmengine - INFO - Epoch(train) [13][680/3757] lr: 9.8907e-03 eta: 2 days, 20:57:20 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 4.4715 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3134 loss: 3.3134 2022/07/26 22:26:28 - mmengine - INFO - Epoch(train) [13][700/3757] lr: 9.8907e-03 eta: 2 days, 20:57:12 time: 0.3948 data_time: 0.0172 memory: 17007 grad_norm: 4.6577 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5895 loss: 3.5895 2022/07/26 22:26:36 - mmengine - INFO - Epoch(train) [13][720/3757] lr: 9.8907e-03 eta: 2 days, 20:57:04 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 4.3580 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3488 loss: 3.3488 2022/07/26 22:26:44 - mmengine - INFO - Epoch(train) [13][740/3757] lr: 9.8907e-03 eta: 2 days, 20:56:56 time: 0.3924 data_time: 0.0161 memory: 17007 grad_norm: 4.4790 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6607 loss: 3.6607 2022/07/26 22:26:52 - mmengine - INFO - Epoch(train) [13][760/3757] lr: 9.8907e-03 eta: 2 days, 20:56:48 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 4.4552 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4652 loss: 3.4652 2022/07/26 22:27:00 - mmengine - INFO - Epoch(train) [13][780/3757] lr: 9.8907e-03 eta: 2 days, 20:56:40 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 4.4625 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6779 loss: 3.6779 2022/07/26 22:27:08 - mmengine - INFO - Epoch(train) [13][800/3757] lr: 9.8907e-03 eta: 2 days, 20:56:35 time: 0.4020 data_time: 0.0167 memory: 17007 grad_norm: 4.3049 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3019 loss: 3.3019 2022/07/26 22:27:16 - mmengine - INFO - Epoch(train) [13][820/3757] lr: 9.8907e-03 eta: 2 days, 20:56:27 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 4.4772 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4328 loss: 3.4328 2022/07/26 22:27:24 - mmengine - INFO - Epoch(train) [13][840/3757] lr: 9.8907e-03 eta: 2 days, 20:56:20 time: 0.3976 data_time: 0.0160 memory: 17007 grad_norm: 4.4219 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4262 loss: 3.4262 2022/07/26 22:27:32 - mmengine - INFO - Epoch(train) [13][860/3757] lr: 9.8907e-03 eta: 2 days, 20:56:12 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 4.3825 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3470 loss: 3.3470 2022/07/26 22:27:40 - mmengine - INFO - Epoch(train) [13][880/3757] lr: 9.8907e-03 eta: 2 days, 20:56:04 time: 0.3949 data_time: 0.0163 memory: 17007 grad_norm: 4.4342 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.7702 loss: 3.7702 2022/07/26 22:27:47 - mmengine - INFO - Epoch(train) [13][900/3757] lr: 9.8907e-03 eta: 2 days, 20:55:56 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 4.2703 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9112 loss: 2.9112 2022/07/26 22:27:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:27:55 - mmengine - INFO - Epoch(train) [13][920/3757] lr: 9.8907e-03 eta: 2 days, 20:55:48 time: 0.3936 data_time: 0.0167 memory: 17007 grad_norm: 4.4305 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3962 loss: 3.3962 2022/07/26 22:28:03 - mmengine - INFO - Epoch(train) [13][940/3757] lr: 9.8907e-03 eta: 2 days, 20:55:40 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 4.3461 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1621 loss: 3.1621 2022/07/26 22:28:11 - mmengine - INFO - Epoch(train) [13][960/3757] lr: 9.8907e-03 eta: 2 days, 20:55:33 time: 0.3990 data_time: 0.0158 memory: 17007 grad_norm: 4.4221 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6211 loss: 3.6211 2022/07/26 22:28:19 - mmengine - INFO - Epoch(train) [13][980/3757] lr: 9.8907e-03 eta: 2 days, 20:55:25 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 4.4904 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7783 loss: 3.7783 2022/07/26 22:28:27 - mmengine - INFO - Epoch(train) [13][1000/3757] lr: 9.8907e-03 eta: 2 days, 20:55:17 time: 0.3934 data_time: 0.0168 memory: 17007 grad_norm: 4.3578 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4928 loss: 3.4928 2022/07/26 22:28:35 - mmengine - INFO - Epoch(train) [13][1020/3757] lr: 9.8907e-03 eta: 2 days, 20:55:09 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 4.3607 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0796 loss: 3.0796 2022/07/26 22:28:43 - mmengine - INFO - Epoch(train) [13][1040/3757] lr: 9.8907e-03 eta: 2 days, 20:55:00 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 4.3650 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5675 loss: 3.5675 2022/07/26 22:28:50 - mmengine - INFO - Epoch(train) [13][1060/3757] lr: 9.8907e-03 eta: 2 days, 20:54:52 time: 0.3906 data_time: 0.0157 memory: 17007 grad_norm: 4.4851 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5953 loss: 3.5953 2022/07/26 22:28:58 - mmengine - INFO - Epoch(train) [13][1080/3757] lr: 9.8907e-03 eta: 2 days, 20:54:43 time: 0.3914 data_time: 0.0167 memory: 17007 grad_norm: 4.4270 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7258 loss: 3.7258 2022/07/26 22:29:06 - mmengine - INFO - Epoch(train) [13][1100/3757] lr: 9.8907e-03 eta: 2 days, 20:54:34 time: 0.3897 data_time: 0.0144 memory: 17007 grad_norm: 4.3715 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7444 loss: 3.7444 2022/07/26 22:29:14 - mmengine - INFO - Epoch(train) [13][1120/3757] lr: 9.8907e-03 eta: 2 days, 20:54:27 time: 0.3954 data_time: 0.0191 memory: 17007 grad_norm: 4.3135 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6218 loss: 3.6218 2022/07/26 22:29:22 - mmengine - INFO - Epoch(train) [13][1140/3757] lr: 9.8907e-03 eta: 2 days, 20:54:18 time: 0.3902 data_time: 0.0151 memory: 17007 grad_norm: 4.4351 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4392 loss: 3.4392 2022/07/26 22:29:30 - mmengine - INFO - Epoch(train) [13][1160/3757] lr: 9.8907e-03 eta: 2 days, 20:54:10 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 4.4792 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3036 loss: 3.3036 2022/07/26 22:29:37 - mmengine - INFO - Epoch(train) [13][1180/3757] lr: 9.8907e-03 eta: 2 days, 20:54:02 time: 0.3920 data_time: 0.0146 memory: 17007 grad_norm: 4.2877 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2686 loss: 3.2686 2022/07/26 22:29:45 - mmengine - INFO - Epoch(train) [13][1200/3757] lr: 9.8907e-03 eta: 2 days, 20:53:53 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 4.3458 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9849 loss: 2.9849 2022/07/26 22:29:53 - mmengine - INFO - Epoch(train) [13][1220/3757] lr: 9.8907e-03 eta: 2 days, 20:53:45 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 4.4133 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1695 loss: 3.1695 2022/07/26 22:30:01 - mmengine - INFO - Epoch(train) [13][1240/3757] lr: 9.8907e-03 eta: 2 days, 20:53:37 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 4.4710 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.4520 loss: 3.4520 2022/07/26 22:30:09 - mmengine - INFO - Epoch(train) [13][1260/3757] lr: 9.8907e-03 eta: 2 days, 20:53:28 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 4.4274 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.7213 loss: 3.7213 2022/07/26 22:30:17 - mmengine - INFO - Epoch(train) [13][1280/3757] lr: 9.8907e-03 eta: 2 days, 20:53:20 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 4.4929 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5805 loss: 3.5805 2022/07/26 22:30:25 - mmengine - INFO - Epoch(train) [13][1300/3757] lr: 9.8907e-03 eta: 2 days, 20:53:17 time: 0.4127 data_time: 0.0163 memory: 17007 grad_norm: 4.4931 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4014 loss: 3.4014 2022/07/26 22:30:33 - mmengine - INFO - Epoch(train) [13][1320/3757] lr: 9.8907e-03 eta: 2 days, 20:53:09 time: 0.3906 data_time: 0.0151 memory: 17007 grad_norm: 4.3445 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2758 loss: 3.2758 2022/07/26 22:30:41 - mmengine - INFO - Epoch(train) [13][1340/3757] lr: 9.8907e-03 eta: 2 days, 20:53:00 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 4.4726 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8296 loss: 3.8296 2022/07/26 22:30:49 - mmengine - INFO - Epoch(train) [13][1360/3757] lr: 9.8907e-03 eta: 2 days, 20:52:59 time: 0.4165 data_time: 0.0164 memory: 17007 grad_norm: 4.3770 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2982 loss: 3.2982 2022/07/26 22:30:57 - mmengine - INFO - Epoch(train) [13][1380/3757] lr: 9.8907e-03 eta: 2 days, 20:52:50 time: 0.3910 data_time: 0.0163 memory: 17007 grad_norm: 4.5099 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5816 loss: 3.5816 2022/07/26 22:31:05 - mmengine - INFO - Epoch(train) [13][1400/3757] lr: 9.8907e-03 eta: 2 days, 20:52:43 time: 0.3966 data_time: 0.0163 memory: 17007 grad_norm: 4.3962 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5019 loss: 3.5019 2022/07/26 22:31:12 - mmengine - INFO - Epoch(train) [13][1420/3757] lr: 9.8907e-03 eta: 2 days, 20:52:34 time: 0.3910 data_time: 0.0153 memory: 17007 grad_norm: 4.4992 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6763 loss: 3.6763 2022/07/26 22:31:20 - mmengine - INFO - Epoch(train) [13][1440/3757] lr: 9.8907e-03 eta: 2 days, 20:52:27 time: 0.3944 data_time: 0.0178 memory: 17007 grad_norm: 4.5676 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2458 loss: 3.2458 2022/07/26 22:31:28 - mmengine - INFO - Epoch(train) [13][1460/3757] lr: 9.8907e-03 eta: 2 days, 20:52:18 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 4.4392 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.6398 loss: 3.6398 2022/07/26 22:31:36 - mmengine - INFO - Epoch(train) [13][1480/3757] lr: 9.8907e-03 eta: 2 days, 20:52:11 time: 0.3944 data_time: 0.0170 memory: 17007 grad_norm: 4.6244 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6152 loss: 3.6152 2022/07/26 22:31:44 - mmengine - INFO - Epoch(train) [13][1500/3757] lr: 9.8907e-03 eta: 2 days, 20:52:05 time: 0.4006 data_time: 0.0173 memory: 17007 grad_norm: 4.2003 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2546 loss: 3.2546 2022/07/26 22:31:52 - mmengine - INFO - Epoch(train) [13][1520/3757] lr: 9.8907e-03 eta: 2 days, 20:51:56 time: 0.3913 data_time: 0.0159 memory: 17007 grad_norm: 4.3302 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4949 loss: 3.4949 2022/07/26 22:32:00 - mmengine - INFO - Epoch(train) [13][1540/3757] lr: 9.8907e-03 eta: 2 days, 20:51:48 time: 0.3918 data_time: 0.0159 memory: 17007 grad_norm: 4.3233 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5606 loss: 3.5606 2022/07/26 22:32:08 - mmengine - INFO - Epoch(train) [13][1560/3757] lr: 9.8907e-03 eta: 2 days, 20:51:39 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 4.3266 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5481 loss: 3.5481 2022/07/26 22:32:15 - mmengine - INFO - Epoch(train) [13][1580/3757] lr: 9.8907e-03 eta: 2 days, 20:51:32 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 4.4621 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3329 loss: 3.3329 2022/07/26 22:32:23 - mmengine - INFO - Epoch(train) [13][1600/3757] lr: 9.8907e-03 eta: 2 days, 20:51:23 time: 0.3906 data_time: 0.0153 memory: 17007 grad_norm: 4.4046 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.4765 loss: 3.4765 2022/07/26 22:32:31 - mmengine - INFO - Epoch(train) [13][1620/3757] lr: 9.8907e-03 eta: 2 days, 20:51:14 time: 0.3903 data_time: 0.0153 memory: 17007 grad_norm: 4.4863 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4823 loss: 3.4823 2022/07/26 22:32:39 - mmengine - INFO - Epoch(train) [13][1640/3757] lr: 9.8907e-03 eta: 2 days, 20:51:06 time: 0.3929 data_time: 0.0170 memory: 17007 grad_norm: 4.2385 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4878 loss: 3.4878 2022/07/26 22:32:47 - mmengine - INFO - Epoch(train) [13][1660/3757] lr: 9.8907e-03 eta: 2 days, 20:50:58 time: 0.3947 data_time: 0.0169 memory: 17007 grad_norm: 4.4773 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2774 loss: 3.2774 2022/07/26 22:32:55 - mmengine - INFO - Epoch(train) [13][1680/3757] lr: 9.8907e-03 eta: 2 days, 20:50:50 time: 0.3925 data_time: 0.0164 memory: 17007 grad_norm: 4.5605 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7340 loss: 3.7340 2022/07/26 22:33:03 - mmengine - INFO - Epoch(train) [13][1700/3757] lr: 9.8907e-03 eta: 2 days, 20:50:41 time: 0.3908 data_time: 0.0138 memory: 17007 grad_norm: 4.3424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1981 loss: 3.1981 2022/07/26 22:33:11 - mmengine - INFO - Epoch(train) [13][1720/3757] lr: 9.8907e-03 eta: 2 days, 20:50:36 time: 0.4011 data_time: 0.0163 memory: 17007 grad_norm: 4.5949 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8971 loss: 3.8971 2022/07/26 22:33:18 - mmengine - INFO - Epoch(train) [13][1740/3757] lr: 9.8907e-03 eta: 2 days, 20:50:27 time: 0.3907 data_time: 0.0148 memory: 17007 grad_norm: 4.2987 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4973 loss: 3.4973 2022/07/26 22:33:26 - mmengine - INFO - Epoch(train) [13][1760/3757] lr: 9.8907e-03 eta: 2 days, 20:50:19 time: 0.3954 data_time: 0.0186 memory: 17007 grad_norm: 4.4133 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.7290 loss: 3.7290 2022/07/26 22:33:34 - mmengine - INFO - Epoch(train) [13][1780/3757] lr: 9.8907e-03 eta: 2 days, 20:50:11 time: 0.3916 data_time: 0.0155 memory: 17007 grad_norm: 4.3697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2568 loss: 3.2568 2022/07/26 22:33:42 - mmengine - INFO - Epoch(train) [13][1800/3757] lr: 9.8907e-03 eta: 2 days, 20:50:04 time: 0.3968 data_time: 0.0160 memory: 17007 grad_norm: 4.3424 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3170 loss: 3.3170 2022/07/26 22:33:50 - mmengine - INFO - Epoch(train) [13][1820/3757] lr: 9.8907e-03 eta: 2 days, 20:49:55 time: 0.3904 data_time: 0.0154 memory: 17007 grad_norm: 4.6064 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2290 loss: 3.2290 2022/07/26 22:33:58 - mmengine - INFO - Epoch(train) [13][1840/3757] lr: 9.8907e-03 eta: 2 days, 20:49:48 time: 0.3977 data_time: 0.0158 memory: 17007 grad_norm: 4.3207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4441 loss: 3.4441 2022/07/26 22:34:06 - mmengine - INFO - Epoch(train) [13][1860/3757] lr: 9.8907e-03 eta: 2 days, 20:49:40 time: 0.3910 data_time: 0.0166 memory: 17007 grad_norm: 4.4089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4783 loss: 3.4783 2022/07/26 22:34:13 - mmengine - INFO - Epoch(train) [13][1880/3757] lr: 9.8907e-03 eta: 2 days, 20:49:31 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 4.3975 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3465 loss: 3.3465 2022/07/26 22:34:21 - mmengine - INFO - Epoch(train) [13][1900/3757] lr: 9.8907e-03 eta: 2 days, 20:49:23 time: 0.3915 data_time: 0.0156 memory: 17007 grad_norm: 4.3836 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4913 loss: 3.4913 2022/07/26 22:34:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:34:29 - mmengine - INFO - Epoch(train) [13][1920/3757] lr: 9.8907e-03 eta: 2 days, 20:49:15 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 4.5397 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3979 loss: 3.3979 2022/07/26 22:34:37 - mmengine - INFO - Epoch(train) [13][1940/3757] lr: 9.8907e-03 eta: 2 days, 20:49:07 time: 0.3929 data_time: 0.0167 memory: 17007 grad_norm: 4.5107 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3277 loss: 3.3277 2022/07/26 22:34:45 - mmengine - INFO - Epoch(train) [13][1960/3757] lr: 9.8907e-03 eta: 2 days, 20:49:00 time: 0.3980 data_time: 0.0156 memory: 17007 grad_norm: 4.5853 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4251 loss: 3.4251 2022/07/26 22:34:53 - mmengine - INFO - Epoch(train) [13][1980/3757] lr: 9.8907e-03 eta: 2 days, 20:48:52 time: 0.3918 data_time: 0.0167 memory: 17007 grad_norm: 4.4541 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3650 loss: 3.3650 2022/07/26 22:35:01 - mmengine - INFO - Epoch(train) [13][2000/3757] lr: 9.8907e-03 eta: 2 days, 20:48:44 time: 0.3916 data_time: 0.0160 memory: 17007 grad_norm: 4.3619 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3332 loss: 3.3332 2022/07/26 22:35:09 - mmengine - INFO - Epoch(train) [13][2020/3757] lr: 9.8907e-03 eta: 2 days, 20:48:35 time: 0.3916 data_time: 0.0162 memory: 17007 grad_norm: 4.3739 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7996 loss: 3.7996 2022/07/26 22:35:16 - mmengine - INFO - Epoch(train) [13][2040/3757] lr: 9.8907e-03 eta: 2 days, 20:48:27 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 4.4437 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5850 loss: 3.5850 2022/07/26 22:35:24 - mmengine - INFO - Epoch(train) [13][2060/3757] lr: 9.8907e-03 eta: 2 days, 20:48:19 time: 0.3912 data_time: 0.0146 memory: 17007 grad_norm: 4.3834 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5551 loss: 3.5551 2022/07/26 22:35:32 - mmengine - INFO - Epoch(train) [13][2080/3757] lr: 9.8907e-03 eta: 2 days, 20:48:13 time: 0.4004 data_time: 0.0162 memory: 17007 grad_norm: 4.3924 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4096 loss: 3.4096 2022/07/26 22:35:40 - mmengine - INFO - Epoch(train) [13][2100/3757] lr: 9.8907e-03 eta: 2 days, 20:48:04 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 4.4162 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6973 loss: 3.6973 2022/07/26 22:35:48 - mmengine - INFO - Epoch(train) [13][2120/3757] lr: 9.8907e-03 eta: 2 days, 20:47:56 time: 0.3931 data_time: 0.0168 memory: 17007 grad_norm: 4.4015 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4759 loss: 3.4759 2022/07/26 22:35:56 - mmengine - INFO - Epoch(train) [13][2140/3757] lr: 9.8907e-03 eta: 2 days, 20:47:48 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 4.3982 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6468 loss: 3.6468 2022/07/26 22:36:04 - mmengine - INFO - Epoch(train) [13][2160/3757] lr: 9.8907e-03 eta: 2 days, 20:47:39 time: 0.3891 data_time: 0.0151 memory: 17007 grad_norm: 4.3861 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2361 loss: 3.2361 2022/07/26 22:36:12 - mmengine - INFO - Epoch(train) [13][2180/3757] lr: 9.8907e-03 eta: 2 days, 20:47:32 time: 0.3979 data_time: 0.0166 memory: 17007 grad_norm: 4.3194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3262 loss: 3.3262 2022/07/26 22:36:19 - mmengine - INFO - Epoch(train) [13][2200/3757] lr: 9.8907e-03 eta: 2 days, 20:47:24 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 4.5170 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4456 loss: 3.4456 2022/07/26 22:36:27 - mmengine - INFO - Epoch(train) [13][2220/3757] lr: 9.8907e-03 eta: 2 days, 20:47:16 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 4.4134 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6619 loss: 3.6619 2022/07/26 22:36:35 - mmengine - INFO - Epoch(train) [13][2240/3757] lr: 9.8907e-03 eta: 2 days, 20:47:08 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 4.4580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2819 loss: 3.2819 2022/07/26 22:36:43 - mmengine - INFO - Epoch(train) [13][2260/3757] lr: 9.8907e-03 eta: 2 days, 20:47:00 time: 0.3923 data_time: 0.0145 memory: 17007 grad_norm: 4.3923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4070 loss: 3.4070 2022/07/26 22:36:51 - mmengine - INFO - Epoch(train) [13][2280/3757] lr: 9.8907e-03 eta: 2 days, 20:46:52 time: 0.3941 data_time: 0.0171 memory: 17007 grad_norm: 4.3954 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2945 loss: 3.2945 2022/07/26 22:36:59 - mmengine - INFO - Epoch(train) [13][2300/3757] lr: 9.8907e-03 eta: 2 days, 20:46:44 time: 0.3918 data_time: 0.0159 memory: 17007 grad_norm: 4.3784 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6966 loss: 3.6966 2022/07/26 22:37:07 - mmengine - INFO - Epoch(train) [13][2320/3757] lr: 9.8907e-03 eta: 2 days, 20:46:35 time: 0.3926 data_time: 0.0163 memory: 17007 grad_norm: 4.5146 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5310 loss: 3.5310 2022/07/26 22:37:14 - mmengine - INFO - Epoch(train) [13][2340/3757] lr: 9.8907e-03 eta: 2 days, 20:46:27 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 4.4334 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.5439 loss: 3.5439 2022/07/26 22:37:22 - mmengine - INFO - Epoch(train) [13][2360/3757] lr: 9.8907e-03 eta: 2 days, 20:46:19 time: 0.3934 data_time: 0.0164 memory: 17007 grad_norm: 4.3558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4544 loss: 3.4544 2022/07/26 22:37:30 - mmengine - INFO - Epoch(train) [13][2380/3757] lr: 9.8907e-03 eta: 2 days, 20:46:11 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 4.4183 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5776 loss: 3.5776 2022/07/26 22:37:38 - mmengine - INFO - Epoch(train) [13][2400/3757] lr: 9.8907e-03 eta: 2 days, 20:46:03 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 4.3309 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5505 loss: 3.5505 2022/07/26 22:37:46 - mmengine - INFO - Epoch(train) [13][2420/3757] lr: 9.8907e-03 eta: 2 days, 20:45:55 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 4.5758 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4333 loss: 3.4333 2022/07/26 22:37:54 - mmengine - INFO - Epoch(train) [13][2440/3757] lr: 9.8907e-03 eta: 2 days, 20:45:46 time: 0.3917 data_time: 0.0158 memory: 17007 grad_norm: 4.7498 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4614 loss: 3.4614 2022/07/26 22:38:01 - mmengine - INFO - Epoch(train) [13][2460/3757] lr: 9.8907e-03 eta: 2 days, 20:45:37 time: 0.3900 data_time: 0.0133 memory: 17007 grad_norm: 4.4073 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2688 loss: 3.2688 2022/07/26 22:38:10 - mmengine - INFO - Epoch(train) [13][2480/3757] lr: 9.8907e-03 eta: 2 days, 20:45:33 time: 0.4068 data_time: 0.0161 memory: 17007 grad_norm: 4.6589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.7143 loss: 3.7143 2022/07/26 22:38:17 - mmengine - INFO - Epoch(train) [13][2500/3757] lr: 9.8907e-03 eta: 2 days, 20:45:25 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 4.6343 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2899 loss: 3.2899 2022/07/26 22:38:25 - mmengine - INFO - Epoch(train) [13][2520/3757] lr: 9.8907e-03 eta: 2 days, 20:45:17 time: 0.3920 data_time: 0.0165 memory: 17007 grad_norm: 4.4661 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3970 loss: 3.3970 2022/07/26 22:38:33 - mmengine - INFO - Epoch(train) [13][2540/3757] lr: 9.8907e-03 eta: 2 days, 20:45:08 time: 0.3901 data_time: 0.0142 memory: 17007 grad_norm: 4.5574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8116 loss: 3.8116 2022/07/26 22:38:41 - mmengine - INFO - Epoch(train) [13][2560/3757] lr: 9.8907e-03 eta: 2 days, 20:44:59 time: 0.3922 data_time: 0.0166 memory: 17007 grad_norm: 4.5870 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.4624 loss: 3.4624 2022/07/26 22:38:49 - mmengine - INFO - Epoch(train) [13][2580/3757] lr: 9.8907e-03 eta: 2 days, 20:44:52 time: 0.3946 data_time: 0.0162 memory: 17007 grad_norm: 4.6149 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5699 loss: 3.5699 2022/07/26 22:38:57 - mmengine - INFO - Epoch(train) [13][2600/3757] lr: 9.8907e-03 eta: 2 days, 20:44:43 time: 0.3906 data_time: 0.0156 memory: 17007 grad_norm: 4.4573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4843 loss: 3.4843 2022/07/26 22:39:05 - mmengine - INFO - Epoch(train) [13][2620/3757] lr: 9.8907e-03 eta: 2 days, 20:44:35 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 4.6165 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2493 loss: 3.2493 2022/07/26 22:39:12 - mmengine - INFO - Epoch(train) [13][2640/3757] lr: 9.8907e-03 eta: 2 days, 20:44:27 time: 0.3920 data_time: 0.0166 memory: 17007 grad_norm: 4.8546 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5829 loss: 3.5829 2022/07/26 22:39:20 - mmengine - INFO - Epoch(train) [13][2660/3757] lr: 9.8907e-03 eta: 2 days, 20:44:19 time: 0.3938 data_time: 0.0170 memory: 17007 grad_norm: 4.6937 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3602 loss: 3.3602 2022/07/26 22:39:28 - mmengine - INFO - Epoch(train) [13][2680/3757] lr: 9.8907e-03 eta: 2 days, 20:44:11 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 4.4585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4290 loss: 3.4290 2022/07/26 22:39:36 - mmengine - INFO - Epoch(train) [13][2700/3757] lr: 9.8907e-03 eta: 2 days, 20:44:03 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 4.8223 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5865 loss: 3.5865 2022/07/26 22:39:44 - mmengine - INFO - Epoch(train) [13][2720/3757] lr: 9.8907e-03 eta: 2 days, 20:43:54 time: 0.3908 data_time: 0.0157 memory: 17007 grad_norm: 5.0604 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3130 loss: 3.3130 2022/07/26 22:39:52 - mmengine - INFO - Epoch(train) [13][2740/3757] lr: 9.8907e-03 eta: 2 days, 20:43:46 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 4.4925 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1853 loss: 3.1853 2022/07/26 22:39:59 - mmengine - INFO - Epoch(train) [13][2760/3757] lr: 9.8907e-03 eta: 2 days, 20:43:38 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 4.4132 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7013 loss: 3.7013 2022/07/26 22:40:07 - mmengine - INFO - Epoch(train) [13][2780/3757] lr: 9.8907e-03 eta: 2 days, 20:43:30 time: 0.3923 data_time: 0.0168 memory: 17007 grad_norm: 4.5863 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5033 loss: 3.5033 2022/07/26 22:40:15 - mmengine - INFO - Epoch(train) [13][2800/3757] lr: 9.8907e-03 eta: 2 days, 20:43:24 time: 0.4027 data_time: 0.0156 memory: 17007 grad_norm: 4.5341 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2214 loss: 3.2214 2022/07/26 22:40:23 - mmengine - INFO - Epoch(train) [13][2820/3757] lr: 9.8907e-03 eta: 2 days, 20:43:16 time: 0.3917 data_time: 0.0142 memory: 17007 grad_norm: 4.5708 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2928 loss: 3.2928 2022/07/26 22:40:31 - mmengine - INFO - Epoch(train) [13][2840/3757] lr: 9.8907e-03 eta: 2 days, 20:43:07 time: 0.3914 data_time: 0.0158 memory: 17007 grad_norm: 4.3984 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2075 loss: 3.2075 2022/07/26 22:40:39 - mmengine - INFO - Epoch(train) [13][2860/3757] lr: 9.8907e-03 eta: 2 days, 20:43:01 time: 0.4003 data_time: 0.0166 memory: 17007 grad_norm: 4.3605 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2537 loss: 3.2537 2022/07/26 22:40:47 - mmengine - INFO - Epoch(train) [13][2880/3757] lr: 9.8907e-03 eta: 2 days, 20:42:54 time: 0.3971 data_time: 0.0165 memory: 17007 grad_norm: 4.3538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4601 loss: 3.4601 2022/07/26 22:40:55 - mmengine - INFO - Epoch(train) [13][2900/3757] lr: 9.8907e-03 eta: 2 days, 20:42:47 time: 0.3967 data_time: 0.0160 memory: 17007 grad_norm: 4.5698 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4344 loss: 3.4344 2022/07/26 22:41:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:41:03 - mmengine - INFO - Epoch(train) [13][2920/3757] lr: 9.8907e-03 eta: 2 days, 20:42:39 time: 0.3909 data_time: 0.0157 memory: 17007 grad_norm: 4.4750 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.6788 loss: 3.6788 2022/07/26 22:41:11 - mmengine - INFO - Epoch(train) [13][2940/3757] lr: 9.8907e-03 eta: 2 days, 20:42:31 time: 0.3940 data_time: 0.0164 memory: 17007 grad_norm: 4.4015 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3738 loss: 3.3738 2022/07/26 22:41:18 - mmengine - INFO - Epoch(train) [13][2960/3757] lr: 9.8907e-03 eta: 2 days, 20:42:22 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 4.4946 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4852 loss: 3.4852 2022/07/26 22:41:26 - mmengine - INFO - Epoch(train) [13][2980/3757] lr: 9.8907e-03 eta: 2 days, 20:42:15 time: 0.3951 data_time: 0.0164 memory: 17007 grad_norm: 4.4444 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4681 loss: 3.4681 2022/07/26 22:41:34 - mmengine - INFO - Epoch(train) [13][3000/3757] lr: 9.8907e-03 eta: 2 days, 20:42:06 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 4.9338 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5277 loss: 3.5277 2022/07/26 22:41:42 - mmengine - INFO - Epoch(train) [13][3020/3757] lr: 9.8907e-03 eta: 2 days, 20:41:57 time: 0.3899 data_time: 0.0147 memory: 17007 grad_norm: 4.6767 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5648 loss: 3.5648 2022/07/26 22:41:50 - mmengine - INFO - Epoch(train) [13][3040/3757] lr: 9.8907e-03 eta: 2 days, 20:41:50 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 4.6384 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4242 loss: 3.4242 2022/07/26 22:41:58 - mmengine - INFO - Epoch(train) [13][3060/3757] lr: 9.8907e-03 eta: 2 days, 20:41:41 time: 0.3897 data_time: 0.0149 memory: 17007 grad_norm: 4.6244 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5955 loss: 3.5955 2022/07/26 22:42:06 - mmengine - INFO - Epoch(train) [13][3080/3757] lr: 9.8907e-03 eta: 2 days, 20:41:33 time: 0.3950 data_time: 0.0169 memory: 17007 grad_norm: 4.6192 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4928 loss: 3.4928 2022/07/26 22:42:13 - mmengine - INFO - Epoch(train) [13][3100/3757] lr: 9.8907e-03 eta: 2 days, 20:41:25 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 4.6860 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4975 loss: 3.4975 2022/07/26 22:42:21 - mmengine - INFO - Epoch(train) [13][3120/3757] lr: 9.8907e-03 eta: 2 days, 20:41:16 time: 0.3909 data_time: 0.0159 memory: 17007 grad_norm: 4.5262 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3987 loss: 3.3987 2022/07/26 22:42:29 - mmengine - INFO - Epoch(train) [13][3140/3757] lr: 9.8907e-03 eta: 2 days, 20:41:09 time: 0.3939 data_time: 0.0149 memory: 17007 grad_norm: 4.7185 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.7103 loss: 3.7103 2022/07/26 22:42:37 - mmengine - INFO - Epoch(train) [13][3160/3757] lr: 9.8907e-03 eta: 2 days, 20:41:01 time: 0.3933 data_time: 0.0168 memory: 17007 grad_norm: 4.4885 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1757 loss: 3.1757 2022/07/26 22:42:45 - mmengine - INFO - Epoch(train) [13][3180/3757] lr: 9.8907e-03 eta: 2 days, 20:40:52 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 4.5446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.6210 loss: 3.6210 2022/07/26 22:42:53 - mmengine - INFO - Epoch(train) [13][3200/3757] lr: 9.8907e-03 eta: 2 days, 20:40:44 time: 0.3913 data_time: 0.0160 memory: 17007 grad_norm: 4.6654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2720 loss: 3.2720 2022/07/26 22:43:01 - mmengine - INFO - Epoch(train) [13][3220/3757] lr: 9.8907e-03 eta: 2 days, 20:40:36 time: 0.3940 data_time: 0.0140 memory: 17007 grad_norm: 4.3531 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2215 loss: 3.2215 2022/07/26 22:43:08 - mmengine - INFO - Epoch(train) [13][3240/3757] lr: 9.8907e-03 eta: 2 days, 20:40:29 time: 0.3957 data_time: 0.0172 memory: 17007 grad_norm: 4.5318 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3277 loss: 3.3277 2022/07/26 22:43:16 - mmengine - INFO - Epoch(train) [13][3260/3757] lr: 9.8907e-03 eta: 2 days, 20:40:21 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 4.7523 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6189 loss: 3.6189 2022/07/26 22:43:24 - mmengine - INFO - Epoch(train) [13][3280/3757] lr: 9.8907e-03 eta: 2 days, 20:40:12 time: 0.3922 data_time: 0.0164 memory: 17007 grad_norm: 4.9700 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4637 loss: 3.4637 2022/07/26 22:43:32 - mmengine - INFO - Epoch(train) [13][3300/3757] lr: 9.8907e-03 eta: 2 days, 20:40:04 time: 0.3913 data_time: 0.0159 memory: 17007 grad_norm: 4.5917 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4924 loss: 3.4924 2022/07/26 22:43:40 - mmengine - INFO - Epoch(train) [13][3320/3757] lr: 9.8907e-03 eta: 2 days, 20:39:56 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 4.5841 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4775 loss: 3.4775 2022/07/26 22:43:48 - mmengine - INFO - Epoch(train) [13][3340/3757] lr: 9.8907e-03 eta: 2 days, 20:39:52 time: 0.4086 data_time: 0.0166 memory: 17007 grad_norm: 4.4014 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4066 loss: 3.4066 2022/07/26 22:43:56 - mmengine - INFO - Epoch(train) [13][3360/3757] lr: 9.8907e-03 eta: 2 days, 20:39:43 time: 0.3909 data_time: 0.0148 memory: 17007 grad_norm: 4.7520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2726 loss: 3.2726 2022/07/26 22:44:04 - mmengine - INFO - Epoch(train) [13][3380/3757] lr: 9.8907e-03 eta: 2 days, 20:39:35 time: 0.3907 data_time: 0.0153 memory: 17007 grad_norm: 4.5415 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7596 loss: 3.7596 2022/07/26 22:44:12 - mmengine - INFO - Epoch(train) [13][3400/3757] lr: 9.8907e-03 eta: 2 days, 20:39:27 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 4.7313 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4076 loss: 3.4076 2022/07/26 22:44:19 - mmengine - INFO - Epoch(train) [13][3420/3757] lr: 9.8907e-03 eta: 2 days, 20:39:18 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 4.5176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2402 loss: 3.2402 2022/07/26 22:44:27 - mmengine - INFO - Epoch(train) [13][3440/3757] lr: 9.8907e-03 eta: 2 days, 20:39:10 time: 0.3931 data_time: 0.0169 memory: 17007 grad_norm: 4.4163 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3724 loss: 3.3724 2022/07/26 22:44:35 - mmengine - INFO - Epoch(train) [13][3460/3757] lr: 9.8907e-03 eta: 2 days, 20:39:02 time: 0.3909 data_time: 0.0154 memory: 17007 grad_norm: 4.4093 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4823 loss: 3.4823 2022/07/26 22:44:43 - mmengine - INFO - Epoch(train) [13][3480/3757] lr: 9.8907e-03 eta: 2 days, 20:38:54 time: 0.3929 data_time: 0.0169 memory: 17007 grad_norm: 4.4550 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5596 loss: 3.5596 2022/07/26 22:44:51 - mmengine - INFO - Epoch(train) [13][3500/3757] lr: 9.8907e-03 eta: 2 days, 20:38:45 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 4.5161 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4927 loss: 3.4927 2022/07/26 22:44:59 - mmengine - INFO - Epoch(train) [13][3520/3757] lr: 9.8907e-03 eta: 2 days, 20:38:37 time: 0.3931 data_time: 0.0174 memory: 17007 grad_norm: 4.3253 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6161 loss: 3.6161 2022/07/26 22:45:07 - mmengine - INFO - Epoch(train) [13][3540/3757] lr: 9.8907e-03 eta: 2 days, 20:38:29 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 4.4395 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.3976 loss: 3.3976 2022/07/26 22:45:14 - mmengine - INFO - Epoch(train) [13][3560/3757] lr: 9.8907e-03 eta: 2 days, 20:38:21 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 4.4474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3154 loss: 3.3154 2022/07/26 22:45:22 - mmengine - INFO - Epoch(train) [13][3580/3757] lr: 9.8907e-03 eta: 2 days, 20:38:16 time: 0.4061 data_time: 0.0164 memory: 17007 grad_norm: 4.3833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1121 loss: 3.1121 2022/07/26 22:45:30 - mmengine - INFO - Epoch(train) [13][3600/3757] lr: 9.8907e-03 eta: 2 days, 20:38:07 time: 0.3916 data_time: 0.0154 memory: 17007 grad_norm: 4.4559 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0502 loss: 3.0502 2022/07/26 22:45:38 - mmengine - INFO - Epoch(train) [13][3620/3757] lr: 9.8907e-03 eta: 2 days, 20:38:00 time: 0.3969 data_time: 0.0172 memory: 17007 grad_norm: 4.5357 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4732 loss: 3.4732 2022/07/26 22:45:46 - mmengine - INFO - Epoch(train) [13][3640/3757] lr: 9.8907e-03 eta: 2 days, 20:37:53 time: 0.3939 data_time: 0.0168 memory: 17007 grad_norm: 4.3602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5492 loss: 3.5492 2022/07/26 22:45:54 - mmengine - INFO - Epoch(train) [13][3660/3757] lr: 9.8907e-03 eta: 2 days, 20:37:44 time: 0.3904 data_time: 0.0152 memory: 17007 grad_norm: 4.4407 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4524 loss: 3.4524 2022/07/26 22:46:02 - mmengine - INFO - Epoch(train) [13][3680/3757] lr: 9.8907e-03 eta: 2 days, 20:37:36 time: 0.3947 data_time: 0.0161 memory: 17007 grad_norm: 4.2419 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 3.3435 loss: 3.3435 2022/07/26 22:46:10 - mmengine - INFO - Epoch(train) [13][3700/3757] lr: 9.8907e-03 eta: 2 days, 20:37:28 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 4.3396 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4637 loss: 3.4637 2022/07/26 22:46:18 - mmengine - INFO - Epoch(train) [13][3720/3757] lr: 9.8907e-03 eta: 2 days, 20:37:21 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 4.5736 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2700 loss: 3.2700 2022/07/26 22:46:25 - mmengine - INFO - Epoch(train) [13][3740/3757] lr: 9.8907e-03 eta: 2 days, 20:37:12 time: 0.3907 data_time: 0.0156 memory: 17007 grad_norm: 4.4305 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4458 loss: 3.4458 2022/07/26 22:46:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:46:32 - mmengine - INFO - Epoch(train) [13][3757/3757] lr: 9.8907e-03 eta: 2 days, 20:37:12 time: 0.3895 data_time: 0.0175 memory: 17007 grad_norm: 4.3995 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 3.2916 loss: 3.2916 2022/07/26 22:46:32 - mmengine - INFO - Saving checkpoint at 13 epochs 2022/07/26 22:46:43 - mmengine - INFO - Epoch(train) [14][20/3757] lr: 9.8719e-03 eta: 2 days, 20:35:47 time: 0.4534 data_time: 0.0753 memory: 17007 grad_norm: 4.3348 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4203 loss: 3.4203 2022/07/26 22:46:51 - mmengine - INFO - Epoch(train) [14][40/3757] lr: 9.8719e-03 eta: 2 days, 20:35:38 time: 0.3913 data_time: 0.0160 memory: 17007 grad_norm: 4.5067 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3923 loss: 3.3923 2022/07/26 22:46:59 - mmengine - INFO - Epoch(train) [14][60/3757] lr: 9.8719e-03 eta: 2 days, 20:35:30 time: 0.3927 data_time: 0.0171 memory: 17007 grad_norm: 4.4562 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5497 loss: 3.5497 2022/07/26 22:47:07 - mmengine - INFO - Epoch(train) [14][80/3757] lr: 9.8719e-03 eta: 2 days, 20:35:23 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 4.4394 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4257 loss: 3.4257 2022/07/26 22:47:15 - mmengine - INFO - Epoch(train) [14][100/3757] lr: 9.8719e-03 eta: 2 days, 20:35:13 time: 0.3883 data_time: 0.0132 memory: 17007 grad_norm: 4.3122 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3372 loss: 3.3372 2022/07/26 22:47:23 - mmengine - INFO - Epoch(train) [14][120/3757] lr: 9.8719e-03 eta: 2 days, 20:35:06 time: 0.3933 data_time: 0.0174 memory: 17007 grad_norm: 4.4326 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3304 loss: 3.3304 2022/07/26 22:47:30 - mmengine - INFO - Epoch(train) [14][140/3757] lr: 9.8719e-03 eta: 2 days, 20:34:57 time: 0.3928 data_time: 0.0168 memory: 17007 grad_norm: 4.3276 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5191 loss: 3.5191 2022/07/26 22:47:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:47:38 - mmengine - INFO - Epoch(train) [14][160/3757] lr: 9.8719e-03 eta: 2 days, 20:34:49 time: 0.3902 data_time: 0.0148 memory: 17007 grad_norm: 4.3796 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1245 loss: 3.1245 2022/07/26 22:47:46 - mmengine - INFO - Epoch(train) [14][180/3757] lr: 9.8719e-03 eta: 2 days, 20:34:42 time: 0.3974 data_time: 0.0188 memory: 17007 grad_norm: 4.3536 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2113 loss: 3.2113 2022/07/26 22:47:54 - mmengine - INFO - Epoch(train) [14][200/3757] lr: 9.8719e-03 eta: 2 days, 20:34:34 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 4.4448 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4116 loss: 3.4116 2022/07/26 22:48:02 - mmengine - INFO - Epoch(train) [14][220/3757] lr: 9.8719e-03 eta: 2 days, 20:34:26 time: 0.3907 data_time: 0.0149 memory: 17007 grad_norm: 4.3238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2871 loss: 3.2871 2022/07/26 22:48:10 - mmengine - INFO - Epoch(train) [14][240/3757] lr: 9.8719e-03 eta: 2 days, 20:34:18 time: 0.3934 data_time: 0.0173 memory: 17007 grad_norm: 4.4484 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4103 loss: 3.4103 2022/07/26 22:48:18 - mmengine - INFO - Epoch(train) [14][260/3757] lr: 9.8719e-03 eta: 2 days, 20:34:09 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 4.4727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0069 loss: 3.0069 2022/07/26 22:48:25 - mmengine - INFO - Epoch(train) [14][280/3757] lr: 9.8719e-03 eta: 2 days, 20:34:01 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 4.4301 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3395 loss: 3.3395 2022/07/26 22:48:33 - mmengine - INFO - Epoch(train) [14][300/3757] lr: 9.8719e-03 eta: 2 days, 20:33:52 time: 0.3893 data_time: 0.0142 memory: 17007 grad_norm: 4.4668 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2454 loss: 3.2454 2022/07/26 22:48:41 - mmengine - INFO - Epoch(train) [14][320/3757] lr: 9.8719e-03 eta: 2 days, 20:33:44 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 4.4503 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5098 loss: 3.5098 2022/07/26 22:48:49 - mmengine - INFO - Epoch(train) [14][340/3757] lr: 9.8719e-03 eta: 2 days, 20:33:37 time: 0.3960 data_time: 0.0156 memory: 17007 grad_norm: 4.4614 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5136 loss: 3.5136 2022/07/26 22:48:57 - mmengine - INFO - Epoch(train) [14][360/3757] lr: 9.8719e-03 eta: 2 days, 20:33:28 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 4.3749 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2508 loss: 3.2508 2022/07/26 22:49:05 - mmengine - INFO - Epoch(train) [14][380/3757] lr: 9.8719e-03 eta: 2 days, 20:33:19 time: 0.3899 data_time: 0.0147 memory: 17007 grad_norm: 4.4114 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5272 loss: 3.5272 2022/07/26 22:49:13 - mmengine - INFO - Epoch(train) [14][400/3757] lr: 9.8719e-03 eta: 2 days, 20:33:13 time: 0.3996 data_time: 0.0165 memory: 17007 grad_norm: 4.5206 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4505 loss: 3.4505 2022/07/26 22:49:20 - mmengine - INFO - Epoch(train) [14][420/3757] lr: 9.8719e-03 eta: 2 days, 20:33:04 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 4.2745 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2078 loss: 3.2078 2022/07/26 22:49:28 - mmengine - INFO - Epoch(train) [14][440/3757] lr: 9.8719e-03 eta: 2 days, 20:32:59 time: 0.4017 data_time: 0.0160 memory: 17007 grad_norm: 4.3483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4032 loss: 3.4032 2022/07/26 22:49:36 - mmengine - INFO - Epoch(train) [14][460/3757] lr: 9.8719e-03 eta: 2 days, 20:32:50 time: 0.3910 data_time: 0.0148 memory: 17007 grad_norm: 4.4021 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4189 loss: 3.4189 2022/07/26 22:49:44 - mmengine - INFO - Epoch(train) [14][480/3757] lr: 9.8719e-03 eta: 2 days, 20:32:42 time: 0.3915 data_time: 0.0158 memory: 17007 grad_norm: 4.6561 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3556 loss: 3.3556 2022/07/26 22:49:52 - mmengine - INFO - Epoch(train) [14][500/3757] lr: 9.8719e-03 eta: 2 days, 20:32:36 time: 0.4039 data_time: 0.0164 memory: 17007 grad_norm: 4.2465 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2801 loss: 3.2801 2022/07/26 22:50:00 - mmengine - INFO - Epoch(train) [14][520/3757] lr: 9.8719e-03 eta: 2 days, 20:32:28 time: 0.3910 data_time: 0.0148 memory: 17007 grad_norm: 4.4797 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6150 loss: 3.6150 2022/07/26 22:50:08 - mmengine - INFO - Epoch(train) [14][540/3757] lr: 9.8719e-03 eta: 2 days, 20:32:20 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 4.4395 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0811 loss: 3.0811 2022/07/26 22:50:16 - mmengine - INFO - Epoch(train) [14][560/3757] lr: 9.8719e-03 eta: 2 days, 20:32:13 time: 0.3967 data_time: 0.0163 memory: 17007 grad_norm: 4.4409 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2642 loss: 3.2642 2022/07/26 22:50:24 - mmengine - INFO - Epoch(train) [14][580/3757] lr: 9.8719e-03 eta: 2 days, 20:32:04 time: 0.3913 data_time: 0.0154 memory: 17007 grad_norm: 4.3325 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3704 loss: 3.3704 2022/07/26 22:50:32 - mmengine - INFO - Epoch(train) [14][600/3757] lr: 9.8719e-03 eta: 2 days, 20:31:56 time: 0.3923 data_time: 0.0168 memory: 17007 grad_norm: 4.3554 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2853 loss: 3.2853 2022/07/26 22:50:39 - mmengine - INFO - Epoch(train) [14][620/3757] lr: 9.8719e-03 eta: 2 days, 20:31:49 time: 0.3959 data_time: 0.0150 memory: 17007 grad_norm: 4.4801 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6070 loss: 3.6070 2022/07/26 22:50:47 - mmengine - INFO - Epoch(train) [14][640/3757] lr: 9.8719e-03 eta: 2 days, 20:31:41 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 4.5050 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0948 loss: 3.0948 2022/07/26 22:50:55 - mmengine - INFO - Epoch(train) [14][660/3757] lr: 9.8719e-03 eta: 2 days, 20:31:32 time: 0.3910 data_time: 0.0148 memory: 17007 grad_norm: 4.3980 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2356 loss: 3.2356 2022/07/26 22:51:03 - mmengine - INFO - Epoch(train) [14][680/3757] lr: 9.8719e-03 eta: 2 days, 20:31:25 time: 0.3961 data_time: 0.0202 memory: 17007 grad_norm: 4.4901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1967 loss: 3.1967 2022/07/26 22:51:11 - mmengine - INFO - Epoch(train) [14][700/3757] lr: 9.8719e-03 eta: 2 days, 20:31:22 time: 0.4120 data_time: 0.0174 memory: 17007 grad_norm: 4.4064 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3489 loss: 3.3489 2022/07/26 22:51:19 - mmengine - INFO - Epoch(train) [14][720/3757] lr: 9.8719e-03 eta: 2 days, 20:31:14 time: 0.3937 data_time: 0.0173 memory: 17007 grad_norm: 4.5201 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4540 loss: 3.4540 2022/07/26 22:51:28 - mmengine - INFO - Epoch(train) [14][740/3757] lr: 9.8719e-03 eta: 2 days, 20:31:13 time: 0.4193 data_time: 0.0159 memory: 17007 grad_norm: 4.5016 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3817 loss: 3.3817 2022/07/26 22:51:35 - mmengine - INFO - Epoch(train) [14][760/3757] lr: 9.8719e-03 eta: 2 days, 20:31:04 time: 0.3908 data_time: 0.0158 memory: 17007 grad_norm: 4.5472 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1049 loss: 3.1049 2022/07/26 22:51:43 - mmengine - INFO - Epoch(train) [14][780/3757] lr: 9.8719e-03 eta: 2 days, 20:30:56 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 4.4730 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1810 loss: 3.1810 2022/07/26 22:51:51 - mmengine - INFO - Epoch(train) [14][800/3757] lr: 9.8719e-03 eta: 2 days, 20:30:47 time: 0.3910 data_time: 0.0155 memory: 17007 grad_norm: 4.5929 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4309 loss: 3.4309 2022/07/26 22:51:59 - mmengine - INFO - Epoch(train) [14][820/3757] lr: 9.8719e-03 eta: 2 days, 20:30:40 time: 0.3951 data_time: 0.0159 memory: 17007 grad_norm: 4.4083 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4110 loss: 3.4110 2022/07/26 22:52:07 - mmengine - INFO - Epoch(train) [14][840/3757] lr: 9.8719e-03 eta: 2 days, 20:30:32 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 4.3907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0810 loss: 3.0810 2022/07/26 22:52:15 - mmengine - INFO - Epoch(train) [14][860/3757] lr: 9.8719e-03 eta: 2 days, 20:30:24 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 4.4778 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3829 loss: 3.3829 2022/07/26 22:52:23 - mmengine - INFO - Epoch(train) [14][880/3757] lr: 9.8719e-03 eta: 2 days, 20:30:16 time: 0.3913 data_time: 0.0162 memory: 17007 grad_norm: 4.3890 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6278 loss: 3.6278 2022/07/26 22:52:30 - mmengine - INFO - Epoch(train) [14][900/3757] lr: 9.8719e-03 eta: 2 days, 20:30:09 time: 0.3966 data_time: 0.0176 memory: 17007 grad_norm: 4.4690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2251 loss: 3.2251 2022/07/26 22:52:39 - mmengine - INFO - Epoch(train) [14][920/3757] lr: 9.8719e-03 eta: 2 days, 20:30:04 time: 0.4041 data_time: 0.0167 memory: 17007 grad_norm: 4.4383 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4007 loss: 3.4007 2022/07/26 22:52:46 - mmengine - INFO - Epoch(train) [14][940/3757] lr: 9.8719e-03 eta: 2 days, 20:29:56 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 4.5871 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4626 loss: 3.4626 2022/07/26 22:52:54 - mmengine - INFO - Epoch(train) [14][960/3757] lr: 9.8719e-03 eta: 2 days, 20:29:48 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 4.4659 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3202 loss: 3.3202 2022/07/26 22:53:02 - mmengine - INFO - Epoch(train) [14][980/3757] lr: 9.8719e-03 eta: 2 days, 20:29:39 time: 0.3906 data_time: 0.0148 memory: 17007 grad_norm: 4.4368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4424 loss: 3.4424 2022/07/26 22:53:10 - mmengine - INFO - Epoch(train) [14][1000/3757] lr: 9.8719e-03 eta: 2 days, 20:29:32 time: 0.3949 data_time: 0.0183 memory: 17007 grad_norm: 4.3471 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2692 loss: 3.2692 2022/07/26 22:53:18 - mmengine - INFO - Epoch(train) [14][1020/3757] lr: 9.8719e-03 eta: 2 days, 20:29:24 time: 0.3935 data_time: 0.0139 memory: 17007 grad_norm: 4.4490 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3748 loss: 3.3748 2022/07/26 22:53:26 - mmengine - INFO - Epoch(train) [14][1040/3757] lr: 9.8719e-03 eta: 2 days, 20:29:17 time: 0.3968 data_time: 0.0173 memory: 17007 grad_norm: 4.4209 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3316 loss: 3.3316 2022/07/26 22:53:34 - mmengine - INFO - Epoch(train) [14][1060/3757] lr: 9.8719e-03 eta: 2 days, 20:29:08 time: 0.3897 data_time: 0.0143 memory: 17007 grad_norm: 4.6964 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3869 loss: 3.3869 2022/07/26 22:53:41 - mmengine - INFO - Epoch(train) [14][1080/3757] lr: 9.8719e-03 eta: 2 days, 20:29:00 time: 0.3926 data_time: 0.0172 memory: 17007 grad_norm: 4.5451 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5614 loss: 3.5614 2022/07/26 22:53:49 - mmengine - INFO - Epoch(train) [14][1100/3757] lr: 9.8719e-03 eta: 2 days, 20:28:51 time: 0.3899 data_time: 0.0151 memory: 17007 grad_norm: 4.3960 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3305 loss: 3.3305 2022/07/26 22:53:57 - mmengine - INFO - Epoch(train) [14][1120/3757] lr: 9.8719e-03 eta: 2 days, 20:28:44 time: 0.3984 data_time: 0.0170 memory: 17007 grad_norm: 4.4469 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5943 loss: 3.5943 2022/07/26 22:54:05 - mmengine - INFO - Epoch(train) [14][1140/3757] lr: 9.8719e-03 eta: 2 days, 20:28:36 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 4.6008 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3504 loss: 3.3504 2022/07/26 22:54:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 22:54:13 - mmengine - INFO - Epoch(train) [14][1160/3757] lr: 9.8719e-03 eta: 2 days, 20:28:29 time: 0.3960 data_time: 0.0167 memory: 17007 grad_norm: 4.5765 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1682 loss: 3.1682 2022/07/26 22:54:21 - mmengine - INFO - Epoch(train) [14][1180/3757] lr: 9.8719e-03 eta: 2 days, 20:28:20 time: 0.3895 data_time: 0.0137 memory: 17007 grad_norm: 4.5324 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4960 loss: 3.4960 2022/07/26 22:54:29 - mmengine - INFO - Epoch(train) [14][1200/3757] lr: 9.8719e-03 eta: 2 days, 20:28:12 time: 0.3947 data_time: 0.0164 memory: 17007 grad_norm: 4.3408 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6376 loss: 3.6376 2022/07/26 22:54:37 - mmengine - INFO - Epoch(train) [14][1220/3757] lr: 9.8719e-03 eta: 2 days, 20:28:04 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 4.4151 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.2758 loss: 3.2758 2022/07/26 22:54:44 - mmengine - INFO - Epoch(train) [14][1240/3757] lr: 9.8719e-03 eta: 2 days, 20:27:56 time: 0.3914 data_time: 0.0157 memory: 17007 grad_norm: 4.3271 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3794 loss: 3.3794 2022/07/26 22:54:52 - mmengine - INFO - Epoch(train) [14][1260/3757] lr: 9.8719e-03 eta: 2 days, 20:27:51 time: 0.4049 data_time: 0.0179 memory: 17007 grad_norm: 4.5047 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3432 loss: 3.3432 2022/07/26 22:55:00 - mmengine - INFO - Epoch(train) [14][1280/3757] lr: 9.8719e-03 eta: 2 days, 20:27:42 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 4.4616 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3209 loss: 3.3209 2022/07/26 22:55:08 - mmengine - INFO - Epoch(train) [14][1300/3757] lr: 9.8719e-03 eta: 2 days, 20:27:35 time: 0.3968 data_time: 0.0164 memory: 17007 grad_norm: 4.4386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3887 loss: 3.3887 2022/07/26 22:55:16 - mmengine - INFO - Epoch(train) [14][1320/3757] lr: 9.8719e-03 eta: 2 days, 20:27:27 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 4.5449 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7262 loss: 3.7262 2022/07/26 22:55:24 - mmengine - INFO - Epoch(train) [14][1340/3757] lr: 9.8719e-03 eta: 2 days, 20:27:19 time: 0.3915 data_time: 0.0153 memory: 17007 grad_norm: 4.4807 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1516 loss: 3.1516 2022/07/26 22:55:32 - mmengine - INFO - Epoch(train) [14][1360/3757] lr: 9.8719e-03 eta: 2 days, 20:27:11 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 4.3787 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6715 loss: 3.6715 2022/07/26 22:55:40 - mmengine - INFO - Epoch(train) [14][1380/3757] lr: 9.8719e-03 eta: 2 days, 20:27:03 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 4.8161 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2952 loss: 3.2952 2022/07/26 22:55:48 - mmengine - INFO - Epoch(train) [14][1400/3757] lr: 9.8719e-03 eta: 2 days, 20:26:55 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 4.5530 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5876 loss: 3.5876 2022/07/26 22:55:55 - mmengine - INFO - Epoch(train) [14][1420/3757] lr: 9.8719e-03 eta: 2 days, 20:26:46 time: 0.3895 data_time: 0.0146 memory: 17007 grad_norm: 4.6319 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5787 loss: 3.5787 2022/07/26 22:56:03 - mmengine - INFO - Epoch(train) [14][1440/3757] lr: 9.8719e-03 eta: 2 days, 20:26:39 time: 0.3976 data_time: 0.0185 memory: 17007 grad_norm: 4.5591 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5288 loss: 3.5288 2022/07/26 22:56:11 - mmengine - INFO - Epoch(train) [14][1460/3757] lr: 9.8719e-03 eta: 2 days, 20:26:32 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 4.4725 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3399 loss: 3.3399 2022/07/26 22:56:19 - mmengine - INFO - Epoch(train) [14][1480/3757] lr: 9.8719e-03 eta: 2 days, 20:26:24 time: 0.3933 data_time: 0.0170 memory: 17007 grad_norm: 4.4483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5790 loss: 3.5790 2022/07/26 22:56:27 - mmengine - INFO - Epoch(train) [14][1500/3757] lr: 9.8719e-03 eta: 2 days, 20:26:18 time: 0.4005 data_time: 0.0154 memory: 17007 grad_norm: 4.4790 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4902 loss: 3.4902 2022/07/26 22:56:35 - mmengine - INFO - Epoch(train) [14][1520/3757] lr: 9.8719e-03 eta: 2 days, 20:26:09 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 4.4010 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2387 loss: 3.2387 2022/07/26 22:56:43 - mmengine - INFO - Epoch(train) [14][1540/3757] lr: 9.8719e-03 eta: 2 days, 20:26:01 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 4.4666 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2051 loss: 3.2051 2022/07/26 22:56:51 - mmengine - INFO - Epoch(train) [14][1560/3757] lr: 9.8719e-03 eta: 2 days, 20:25:54 time: 0.3968 data_time: 0.0164 memory: 17007 grad_norm: 4.5763 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5347 loss: 3.5347 2022/07/26 22:56:59 - mmengine - INFO - Epoch(train) [14][1580/3757] lr: 9.8719e-03 eta: 2 days, 20:25:47 time: 0.3968 data_time: 0.0158 memory: 17007 grad_norm: 4.4345 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2159 loss: 3.2159 2022/07/26 22:57:06 - mmengine - INFO - Epoch(train) [14][1600/3757] lr: 9.8719e-03 eta: 2 days, 20:25:38 time: 0.3923 data_time: 0.0169 memory: 17007 grad_norm: 4.4644 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5738 loss: 3.5738 2022/07/26 22:57:14 - mmengine - INFO - Epoch(train) [14][1620/3757] lr: 9.8719e-03 eta: 2 days, 20:25:30 time: 0.3897 data_time: 0.0147 memory: 17007 grad_norm: 4.4116 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4321 loss: 3.4321 2022/07/26 22:57:22 - mmengine - INFO - Epoch(train) [14][1640/3757] lr: 9.8719e-03 eta: 2 days, 20:25:22 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 4.4733 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3817 loss: 3.3817 2022/07/26 22:57:30 - mmengine - INFO - Epoch(train) [14][1660/3757] lr: 9.8719e-03 eta: 2 days, 20:25:13 time: 0.3908 data_time: 0.0157 memory: 17007 grad_norm: 4.4961 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3066 loss: 3.3066 2022/07/26 22:57:38 - mmengine - INFO - Epoch(train) [14][1680/3757] lr: 9.8719e-03 eta: 2 days, 20:25:10 time: 0.4117 data_time: 0.0166 memory: 17007 grad_norm: 4.5601 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4726 loss: 3.4726 2022/07/26 22:57:46 - mmengine - INFO - Epoch(train) [14][1700/3757] lr: 9.8719e-03 eta: 2 days, 20:25:01 time: 0.3895 data_time: 0.0146 memory: 17007 grad_norm: 4.4104 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3250 loss: 3.3250 2022/07/26 22:57:54 - mmengine - INFO - Epoch(train) [14][1720/3757] lr: 9.8719e-03 eta: 2 days, 20:24:53 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 4.3776 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2506 loss: 3.2506 2022/07/26 22:58:02 - mmengine - INFO - Epoch(train) [14][1740/3757] lr: 9.8719e-03 eta: 2 days, 20:24:46 time: 0.3972 data_time: 0.0159 memory: 17007 grad_norm: 4.5671 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2895 loss: 3.2895 2022/07/26 22:58:10 - mmengine - INFO - Epoch(train) [14][1760/3757] lr: 9.8719e-03 eta: 2 days, 20:24:38 time: 0.3934 data_time: 0.0167 memory: 17007 grad_norm: 4.4870 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4000 loss: 3.4000 2022/07/26 22:58:18 - mmengine - INFO - Epoch(train) [14][1780/3757] lr: 9.8719e-03 eta: 2 days, 20:24:31 time: 0.3964 data_time: 0.0158 memory: 17007 grad_norm: 4.3164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4045 loss: 3.4045 2022/07/26 22:58:26 - mmengine - INFO - Epoch(train) [14][1800/3757] lr: 9.8719e-03 eta: 2 days, 20:24:24 time: 0.3968 data_time: 0.0166 memory: 17007 grad_norm: 4.5455 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4325 loss: 3.4325 2022/07/26 22:58:33 - mmengine - INFO - Epoch(train) [14][1820/3757] lr: 9.8719e-03 eta: 2 days, 20:24:15 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 4.6188 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4901 loss: 3.4901 2022/07/26 22:58:41 - mmengine - INFO - Epoch(train) [14][1840/3757] lr: 9.8719e-03 eta: 2 days, 20:24:08 time: 0.3974 data_time: 0.0165 memory: 17007 grad_norm: 4.3809 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2016 loss: 3.2016 2022/07/26 22:58:49 - mmengine - INFO - Epoch(train) [14][1860/3757] lr: 9.8719e-03 eta: 2 days, 20:24:00 time: 0.3915 data_time: 0.0153 memory: 17007 grad_norm: 4.4357 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5129 loss: 3.5129 2022/07/26 22:58:57 - mmengine - INFO - Epoch(train) [14][1880/3757] lr: 9.8719e-03 eta: 2 days, 20:23:52 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 4.3507 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1470 loss: 3.1470 2022/07/26 22:59:05 - mmengine - INFO - Epoch(train) [14][1900/3757] lr: 9.8719e-03 eta: 2 days, 20:23:43 time: 0.3902 data_time: 0.0137 memory: 17007 grad_norm: 4.5322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1642 loss: 3.1642 2022/07/26 22:59:13 - mmengine - INFO - Epoch(train) [14][1920/3757] lr: 9.8719e-03 eta: 2 days, 20:23:36 time: 0.3973 data_time: 0.0173 memory: 17007 grad_norm: 4.5170 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2943 loss: 3.2943 2022/07/26 22:59:21 - mmengine - INFO - Epoch(train) [14][1940/3757] lr: 9.8719e-03 eta: 2 days, 20:23:28 time: 0.3921 data_time: 0.0151 memory: 17007 grad_norm: 4.3518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2993 loss: 3.2993 2022/07/26 22:59:29 - mmengine - INFO - Epoch(train) [14][1960/3757] lr: 9.8719e-03 eta: 2 days, 20:23:21 time: 0.3985 data_time: 0.0162 memory: 17007 grad_norm: 4.5867 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3907 loss: 3.3907 2022/07/26 22:59:36 - mmengine - INFO - Epoch(train) [14][1980/3757] lr: 9.8719e-03 eta: 2 days, 20:23:13 time: 0.3928 data_time: 0.0147 memory: 17007 grad_norm: 4.6250 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2147 loss: 3.2147 2022/07/26 22:59:44 - mmengine - INFO - Epoch(train) [14][2000/3757] lr: 9.8719e-03 eta: 2 days, 20:23:05 time: 0.3923 data_time: 0.0159 memory: 17007 grad_norm: 4.4250 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4264 loss: 3.4264 2022/07/26 22:59:52 - mmengine - INFO - Epoch(train) [14][2020/3757] lr: 9.8719e-03 eta: 2 days, 20:22:56 time: 0.3907 data_time: 0.0142 memory: 17007 grad_norm: 4.4432 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4709 loss: 3.4709 2022/07/26 23:00:00 - mmengine - INFO - Epoch(train) [14][2040/3757] lr: 9.8719e-03 eta: 2 days, 20:22:48 time: 0.3917 data_time: 0.0174 memory: 17007 grad_norm: 4.5232 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5415 loss: 3.5415 2022/07/26 23:00:08 - mmengine - INFO - Epoch(train) [14][2060/3757] lr: 9.8719e-03 eta: 2 days, 20:22:41 time: 0.3968 data_time: 0.0163 memory: 17007 grad_norm: 4.4842 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.3915 loss: 3.3915 2022/07/26 23:00:16 - mmengine - INFO - Epoch(train) [14][2080/3757] lr: 9.8719e-03 eta: 2 days, 20:22:34 time: 0.3970 data_time: 0.0160 memory: 17007 grad_norm: 4.3970 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2500 loss: 3.2500 2022/07/26 23:00:24 - mmengine - INFO - Epoch(train) [14][2100/3757] lr: 9.8719e-03 eta: 2 days, 20:22:25 time: 0.3918 data_time: 0.0149 memory: 17007 grad_norm: 4.4209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.4335 loss: 3.4335 2022/07/26 23:00:31 - mmengine - INFO - Epoch(train) [14][2120/3757] lr: 9.8719e-03 eta: 2 days, 20:22:17 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 4.3689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1751 loss: 3.1751 2022/07/26 23:00:39 - mmengine - INFO - Epoch(train) [14][2140/3757] lr: 9.8719e-03 eta: 2 days, 20:22:11 time: 0.3998 data_time: 0.0153 memory: 17007 grad_norm: 4.4122 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2458 loss: 3.2458 2022/07/26 23:00:47 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:00:48 - mmengine - INFO - Epoch(train) [14][2160/3757] lr: 9.8719e-03 eta: 2 days, 20:22:05 time: 0.4015 data_time: 0.0170 memory: 17007 grad_norm: 4.4195 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5637 loss: 3.5637 2022/07/26 23:00:55 - mmengine - INFO - Epoch(train) [14][2180/3757] lr: 9.8719e-03 eta: 2 days, 20:21:56 time: 0.3906 data_time: 0.0140 memory: 17007 grad_norm: 4.4332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4433 loss: 3.4433 2022/07/26 23:01:03 - mmengine - INFO - Epoch(train) [14][2200/3757] lr: 9.8719e-03 eta: 2 days, 20:21:49 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 4.2577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0068 loss: 3.0068 2022/07/26 23:01:11 - mmengine - INFO - Epoch(train) [14][2220/3757] lr: 9.8719e-03 eta: 2 days, 20:21:41 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 4.4763 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2602 loss: 3.2602 2022/07/26 23:01:19 - mmengine - INFO - Epoch(train) [14][2240/3757] lr: 9.8719e-03 eta: 2 days, 20:21:34 time: 0.3976 data_time: 0.0169 memory: 17007 grad_norm: 4.4441 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5178 loss: 3.5178 2022/07/26 23:01:27 - mmengine - INFO - Epoch(train) [14][2260/3757] lr: 9.8719e-03 eta: 2 days, 20:21:26 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 4.6150 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5630 loss: 3.5630 2022/07/26 23:01:35 - mmengine - INFO - Epoch(train) [14][2280/3757] lr: 9.8719e-03 eta: 2 days, 20:21:17 time: 0.3922 data_time: 0.0164 memory: 17007 grad_norm: 4.3681 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3275 loss: 3.3275 2022/07/26 23:01:43 - mmengine - INFO - Epoch(train) [14][2300/3757] lr: 9.8719e-03 eta: 2 days, 20:21:11 time: 0.3994 data_time: 0.0151 memory: 17007 grad_norm: 4.4018 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2746 loss: 3.2746 2022/07/26 23:01:51 - mmengine - INFO - Epoch(train) [14][2320/3757] lr: 9.8719e-03 eta: 2 days, 20:21:03 time: 0.3913 data_time: 0.0160 memory: 17007 grad_norm: 4.4359 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5392 loss: 3.5392 2022/07/26 23:01:59 - mmengine - INFO - Epoch(train) [14][2340/3757] lr: 9.8719e-03 eta: 2 days, 20:20:59 time: 0.4102 data_time: 0.0182 memory: 17007 grad_norm: 4.4910 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9466 loss: 2.9466 2022/07/26 23:02:07 - mmengine - INFO - Epoch(train) [14][2360/3757] lr: 9.8719e-03 eta: 2 days, 20:20:51 time: 0.3926 data_time: 0.0162 memory: 17007 grad_norm: 4.5958 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2909 loss: 3.2909 2022/07/26 23:02:14 - mmengine - INFO - Epoch(train) [14][2380/3757] lr: 9.8719e-03 eta: 2 days, 20:20:42 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 4.5004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.4134 loss: 3.4134 2022/07/26 23:02:22 - mmengine - INFO - Epoch(train) [14][2400/3757] lr: 9.8719e-03 eta: 2 days, 20:20:34 time: 0.3919 data_time: 0.0147 memory: 17007 grad_norm: 4.6086 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2885 loss: 3.2885 2022/07/26 23:02:30 - mmengine - INFO - Epoch(train) [14][2420/3757] lr: 9.8719e-03 eta: 2 days, 20:20:26 time: 0.3919 data_time: 0.0149 memory: 17007 grad_norm: 4.4361 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3157 loss: 3.3157 2022/07/26 23:02:38 - mmengine - INFO - Epoch(train) [14][2440/3757] lr: 9.8719e-03 eta: 2 days, 20:20:18 time: 0.3956 data_time: 0.0170 memory: 17007 grad_norm: 4.4627 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2136 loss: 3.2136 2022/07/26 23:02:46 - mmengine - INFO - Epoch(train) [14][2460/3757] lr: 9.8719e-03 eta: 2 days, 20:20:10 time: 0.3913 data_time: 0.0154 memory: 17007 grad_norm: 4.5745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4493 loss: 3.4493 2022/07/26 23:02:54 - mmengine - INFO - Epoch(train) [14][2480/3757] lr: 9.8719e-03 eta: 2 days, 20:20:01 time: 0.3911 data_time: 0.0160 memory: 17007 grad_norm: 4.5371 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3333 loss: 3.3333 2022/07/26 23:03:02 - mmengine - INFO - Epoch(train) [14][2500/3757] lr: 9.8719e-03 eta: 2 days, 20:19:53 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 4.4581 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2644 loss: 3.2644 2022/07/26 23:03:09 - mmengine - INFO - Epoch(train) [14][2520/3757] lr: 9.8719e-03 eta: 2 days, 20:19:45 time: 0.3908 data_time: 0.0157 memory: 17007 grad_norm: 4.3489 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2245 loss: 3.2245 2022/07/26 23:03:17 - mmengine - INFO - Epoch(train) [14][2540/3757] lr: 9.8719e-03 eta: 2 days, 20:19:37 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 4.4110 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4674 loss: 3.4674 2022/07/26 23:03:25 - mmengine - INFO - Epoch(train) [14][2560/3757] lr: 9.8719e-03 eta: 2 days, 20:19:29 time: 0.3901 data_time: 0.0159 memory: 17007 grad_norm: 4.3656 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4599 loss: 3.4599 2022/07/26 23:03:33 - mmengine - INFO - Epoch(train) [14][2580/3757] lr: 9.8719e-03 eta: 2 days, 20:19:20 time: 0.3911 data_time: 0.0155 memory: 17007 grad_norm: 4.5588 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9595 loss: 2.9595 2022/07/26 23:03:41 - mmengine - INFO - Epoch(train) [14][2600/3757] lr: 9.8719e-03 eta: 2 days, 20:19:13 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 4.4489 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0169 loss: 3.0169 2022/07/26 23:03:49 - mmengine - INFO - Epoch(train) [14][2620/3757] lr: 9.8719e-03 eta: 2 days, 20:19:04 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 4.5077 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9862 loss: 2.9862 2022/07/26 23:03:57 - mmengine - INFO - Epoch(train) [14][2640/3757] lr: 9.8719e-03 eta: 2 days, 20:18:56 time: 0.3913 data_time: 0.0160 memory: 17007 grad_norm: 4.4336 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1381 loss: 3.1381 2022/07/26 23:04:04 - mmengine - INFO - Epoch(train) [14][2660/3757] lr: 9.8719e-03 eta: 2 days, 20:18:48 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 4.5501 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5389 loss: 3.5389 2022/07/26 23:04:12 - mmengine - INFO - Epoch(train) [14][2680/3757] lr: 9.8719e-03 eta: 2 days, 20:18:40 time: 0.3925 data_time: 0.0166 memory: 17007 grad_norm: 4.5499 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3618 loss: 3.3618 2022/07/26 23:04:20 - mmengine - INFO - Epoch(train) [14][2700/3757] lr: 9.8719e-03 eta: 2 days, 20:18:32 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 4.4236 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4354 loss: 3.4354 2022/07/26 23:04:28 - mmengine - INFO - Epoch(train) [14][2720/3757] lr: 9.8719e-03 eta: 2 days, 20:18:24 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 4.6052 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4621 loss: 3.4621 2022/07/26 23:04:36 - mmengine - INFO - Epoch(train) [14][2740/3757] lr: 9.8719e-03 eta: 2 days, 20:18:15 time: 0.3915 data_time: 0.0153 memory: 17007 grad_norm: 4.4432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2362 loss: 3.2362 2022/07/26 23:04:44 - mmengine - INFO - Epoch(train) [14][2760/3757] lr: 9.8719e-03 eta: 2 days, 20:18:08 time: 0.3964 data_time: 0.0155 memory: 17007 grad_norm: 4.5658 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3385 loss: 3.3385 2022/07/26 23:04:52 - mmengine - INFO - Epoch(train) [14][2780/3757] lr: 9.8719e-03 eta: 2 days, 20:18:00 time: 0.3946 data_time: 0.0152 memory: 17007 grad_norm: 4.4721 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4582 loss: 3.4582 2022/07/26 23:04:59 - mmengine - INFO - Epoch(train) [14][2800/3757] lr: 9.8719e-03 eta: 2 days, 20:17:53 time: 0.3944 data_time: 0.0170 memory: 17007 grad_norm: 4.5737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3261 loss: 3.3261 2022/07/26 23:05:07 - mmengine - INFO - Epoch(train) [14][2820/3757] lr: 9.8719e-03 eta: 2 days, 20:17:45 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 4.4949 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.2089 loss: 3.2089 2022/07/26 23:05:15 - mmengine - INFO - Epoch(train) [14][2840/3757] lr: 9.8719e-03 eta: 2 days, 20:17:36 time: 0.3915 data_time: 0.0156 memory: 17007 grad_norm: 4.4703 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3513 loss: 3.3513 2022/07/26 23:05:23 - mmengine - INFO - Epoch(train) [14][2860/3757] lr: 9.8719e-03 eta: 2 days, 20:17:30 time: 0.4020 data_time: 0.0160 memory: 17007 grad_norm: 4.6177 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6525 loss: 3.6525 2022/07/26 23:05:31 - mmengine - INFO - Epoch(train) [14][2880/3757] lr: 9.8719e-03 eta: 2 days, 20:17:23 time: 0.3975 data_time: 0.0158 memory: 17007 grad_norm: 4.5019 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5666 loss: 3.5666 2022/07/26 23:05:39 - mmengine - INFO - Epoch(train) [14][2900/3757] lr: 9.8719e-03 eta: 2 days, 20:17:18 time: 0.4017 data_time: 0.0155 memory: 17007 grad_norm: 4.6333 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6423 loss: 3.6423 2022/07/26 23:05:47 - mmengine - INFO - Epoch(train) [14][2920/3757] lr: 9.8719e-03 eta: 2 days, 20:17:10 time: 0.3941 data_time: 0.0168 memory: 17007 grad_norm: 4.6307 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.5197 loss: 3.5197 2022/07/26 23:05:55 - mmengine - INFO - Epoch(train) [14][2940/3757] lr: 9.8719e-03 eta: 2 days, 20:17:02 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 4.5855 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3915 loss: 3.3915 2022/07/26 23:06:03 - mmengine - INFO - Epoch(train) [14][2960/3757] lr: 9.8719e-03 eta: 2 days, 20:16:54 time: 0.3929 data_time: 0.0166 memory: 17007 grad_norm: 4.6490 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2236 loss: 3.2236 2022/07/26 23:06:11 - mmengine - INFO - Epoch(train) [14][2980/3757] lr: 9.8719e-03 eta: 2 days, 20:16:45 time: 0.3914 data_time: 0.0152 memory: 17007 grad_norm: 4.5701 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3541 loss: 3.3541 2022/07/26 23:06:19 - mmengine - INFO - Epoch(train) [14][3000/3757] lr: 9.8719e-03 eta: 2 days, 20:16:38 time: 0.3970 data_time: 0.0169 memory: 17007 grad_norm: 4.5274 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4102 loss: 3.4102 2022/07/26 23:06:26 - mmengine - INFO - Epoch(train) [14][3020/3757] lr: 9.8719e-03 eta: 2 days, 20:16:29 time: 0.3898 data_time: 0.0149 memory: 17007 grad_norm: 4.4695 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2617 loss: 3.2617 2022/07/26 23:06:34 - mmengine - INFO - Epoch(train) [14][3040/3757] lr: 9.8719e-03 eta: 2 days, 20:16:21 time: 0.3916 data_time: 0.0153 memory: 17007 grad_norm: 4.4762 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5020 loss: 3.5020 2022/07/26 23:06:42 - mmengine - INFO - Epoch(train) [14][3060/3757] lr: 9.8719e-03 eta: 2 days, 20:16:13 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 4.4861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.5433 loss: 3.5433 2022/07/26 23:06:50 - mmengine - INFO - Epoch(train) [14][3080/3757] lr: 9.8719e-03 eta: 2 days, 20:16:04 time: 0.3904 data_time: 0.0158 memory: 17007 grad_norm: 4.5052 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4431 loss: 3.4431 2022/07/26 23:06:58 - mmengine - INFO - Epoch(train) [14][3100/3757] lr: 9.8719e-03 eta: 2 days, 20:15:56 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 4.5661 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4146 loss: 3.4146 2022/07/26 23:07:06 - mmengine - INFO - Epoch(train) [14][3120/3757] lr: 9.8719e-03 eta: 2 days, 20:15:48 time: 0.3930 data_time: 0.0173 memory: 17007 grad_norm: 4.4482 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3766 loss: 3.3766 2022/07/26 23:07:13 - mmengine - INFO - Epoch(train) [14][3140/3757] lr: 9.8719e-03 eta: 2 days, 20:15:40 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 4.4680 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4718 loss: 3.4718 2022/07/26 23:07:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:07:21 - mmengine - INFO - Epoch(train) [14][3160/3757] lr: 9.8719e-03 eta: 2 days, 20:15:33 time: 0.3987 data_time: 0.0182 memory: 17007 grad_norm: 4.6960 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2668 loss: 3.2668 2022/07/26 23:07:29 - mmengine - INFO - Epoch(train) [14][3180/3757] lr: 9.8719e-03 eta: 2 days, 20:15:24 time: 0.3904 data_time: 0.0147 memory: 17007 grad_norm: 4.7725 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4924 loss: 3.4924 2022/07/26 23:07:37 - mmengine - INFO - Epoch(train) [14][3200/3757] lr: 9.8719e-03 eta: 2 days, 20:15:16 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 4.6189 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1976 loss: 3.1976 2022/07/26 23:07:45 - mmengine - INFO - Epoch(train) [14][3220/3757] lr: 9.8719e-03 eta: 2 days, 20:15:08 time: 0.3917 data_time: 0.0157 memory: 17007 grad_norm: 4.3337 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1418 loss: 3.1418 2022/07/26 23:07:53 - mmengine - INFO - Epoch(train) [14][3240/3757] lr: 9.8719e-03 eta: 2 days, 20:14:59 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 4.4165 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4335 loss: 3.4335 2022/07/26 23:08:01 - mmengine - INFO - Epoch(train) [14][3260/3757] lr: 9.8719e-03 eta: 2 days, 20:14:51 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 4.5775 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1840 loss: 3.1840 2022/07/26 23:08:09 - mmengine - INFO - Epoch(train) [14][3280/3757] lr: 9.8719e-03 eta: 2 days, 20:14:45 time: 0.3984 data_time: 0.0157 memory: 17007 grad_norm: 4.5687 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4496 loss: 3.4496 2022/07/26 23:08:16 - mmengine - INFO - Epoch(train) [14][3300/3757] lr: 9.8719e-03 eta: 2 days, 20:14:36 time: 0.3908 data_time: 0.0147 memory: 17007 grad_norm: 4.3893 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2761 loss: 3.2761 2022/07/26 23:08:24 - mmengine - INFO - Epoch(train) [14][3320/3757] lr: 9.8719e-03 eta: 2 days, 20:14:28 time: 0.3923 data_time: 0.0163 memory: 17007 grad_norm: 4.4505 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.3736 loss: 3.3736 2022/07/26 23:08:32 - mmengine - INFO - Epoch(train) [14][3340/3757] lr: 9.8719e-03 eta: 2 days, 20:14:19 time: 0.3908 data_time: 0.0139 memory: 17007 grad_norm: 4.5488 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3732 loss: 3.3732 2022/07/26 23:08:40 - mmengine - INFO - Epoch(train) [14][3360/3757] lr: 9.8719e-03 eta: 2 days, 20:14:12 time: 0.3937 data_time: 0.0168 memory: 17007 grad_norm: 4.4496 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3638 loss: 3.3638 2022/07/26 23:08:48 - mmengine - INFO - Epoch(train) [14][3380/3757] lr: 9.8719e-03 eta: 2 days, 20:14:04 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 4.4665 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5262 loss: 3.5262 2022/07/26 23:08:56 - mmengine - INFO - Epoch(train) [14][3400/3757] lr: 9.8719e-03 eta: 2 days, 20:13:56 time: 0.3946 data_time: 0.0164 memory: 17007 grad_norm: 4.6873 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4073 loss: 3.4073 2022/07/26 23:09:03 - mmengine - INFO - Epoch(train) [14][3420/3757] lr: 9.8719e-03 eta: 2 days, 20:13:47 time: 0.3900 data_time: 0.0133 memory: 17007 grad_norm: 4.4034 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2456 loss: 3.2456 2022/07/26 23:09:11 - mmengine - INFO - Epoch(train) [14][3440/3757] lr: 9.8719e-03 eta: 2 days, 20:13:39 time: 0.3938 data_time: 0.0170 memory: 17007 grad_norm: 4.5712 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4405 loss: 3.4405 2022/07/26 23:09:19 - mmengine - INFO - Epoch(train) [14][3460/3757] lr: 9.8719e-03 eta: 2 days, 20:13:31 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 4.4700 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3750 loss: 3.3750 2022/07/26 23:09:27 - mmengine - INFO - Epoch(train) [14][3480/3757] lr: 9.8719e-03 eta: 2 days, 20:13:23 time: 0.3909 data_time: 0.0153 memory: 17007 grad_norm: 4.4627 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6198 loss: 3.6198 2022/07/26 23:09:35 - mmengine - INFO - Epoch(train) [14][3500/3757] lr: 9.8719e-03 eta: 2 days, 20:13:15 time: 0.3961 data_time: 0.0167 memory: 17007 grad_norm: 4.4763 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4302 loss: 3.4302 2022/07/26 23:09:43 - mmengine - INFO - Epoch(train) [14][3520/3757] lr: 9.8719e-03 eta: 2 days, 20:13:08 time: 0.3949 data_time: 0.0160 memory: 17007 grad_norm: 4.5072 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3937 loss: 3.3937 2022/07/26 23:09:51 - mmengine - INFO - Epoch(train) [14][3540/3757] lr: 9.8719e-03 eta: 2 days, 20:12:59 time: 0.3909 data_time: 0.0151 memory: 17007 grad_norm: 4.5036 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3483 loss: 3.3483 2022/07/26 23:09:59 - mmengine - INFO - Epoch(train) [14][3560/3757] lr: 9.8719e-03 eta: 2 days, 20:12:52 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 4.4434 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3779 loss: 3.3779 2022/07/26 23:10:06 - mmengine - INFO - Epoch(train) [14][3580/3757] lr: 9.8719e-03 eta: 2 days, 20:12:42 time: 0.3889 data_time: 0.0150 memory: 17007 grad_norm: 4.4298 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6777 loss: 3.6777 2022/07/26 23:10:14 - mmengine - INFO - Epoch(train) [14][3600/3757] lr: 9.8719e-03 eta: 2 days, 20:12:35 time: 0.3933 data_time: 0.0169 memory: 17007 grad_norm: 4.5315 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5204 loss: 3.5204 2022/07/26 23:10:22 - mmengine - INFO - Epoch(train) [14][3620/3757] lr: 9.8719e-03 eta: 2 days, 20:12:26 time: 0.3924 data_time: 0.0147 memory: 17007 grad_norm: 4.4960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.4659 loss: 3.4659 2022/07/26 23:10:30 - mmengine - INFO - Epoch(train) [14][3640/3757] lr: 9.8719e-03 eta: 2 days, 20:12:19 time: 0.3946 data_time: 0.0175 memory: 17007 grad_norm: 4.4725 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2378 loss: 3.2378 2022/07/26 23:10:38 - mmengine - INFO - Epoch(train) [14][3660/3757] lr: 9.8719e-03 eta: 2 days, 20:12:10 time: 0.3912 data_time: 0.0152 memory: 17007 grad_norm: 4.4294 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0185 loss: 3.0185 2022/07/26 23:10:46 - mmengine - INFO - Epoch(train) [14][3680/3757] lr: 9.8719e-03 eta: 2 days, 20:12:02 time: 0.3903 data_time: 0.0151 memory: 17007 grad_norm: 4.6673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0856 loss: 3.0856 2022/07/26 23:10:53 - mmengine - INFO - Epoch(train) [14][3700/3757] lr: 9.8719e-03 eta: 2 days, 20:11:54 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 4.4786 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2899 loss: 3.2899 2022/07/26 23:11:01 - mmengine - INFO - Epoch(train) [14][3720/3757] lr: 9.8719e-03 eta: 2 days, 20:11:45 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 4.3880 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2263 loss: 3.2263 2022/07/26 23:11:09 - mmengine - INFO - Epoch(train) [14][3740/3757] lr: 9.8719e-03 eta: 2 days, 20:11:38 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 4.4945 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5393 loss: 3.5393 2022/07/26 23:11:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:11:16 - mmengine - INFO - Epoch(train) [14][3757/3757] lr: 9.8719e-03 eta: 2 days, 20:11:38 time: 0.3883 data_time: 0.0164 memory: 17007 grad_norm: 4.5956 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 3.6461 loss: 3.6461 2022/07/26 23:11:16 - mmengine - INFO - Saving checkpoint at 14 epochs 2022/07/26 23:11:27 - mmengine - INFO - Epoch(train) [15][20/3757] lr: 9.8515e-03 eta: 2 days, 20:10:18 time: 0.4534 data_time: 0.0775 memory: 17007 grad_norm: 4.6152 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3895 loss: 3.3895 2022/07/26 23:11:35 - mmengine - INFO - Epoch(train) [15][40/3757] lr: 9.8515e-03 eta: 2 days, 20:10:11 time: 0.3984 data_time: 0.0161 memory: 17007 grad_norm: 4.5548 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3514 loss: 3.3514 2022/07/26 23:11:43 - mmengine - INFO - Epoch(train) [15][60/3757] lr: 9.8515e-03 eta: 2 days, 20:10:04 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 4.5299 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.6214 loss: 3.6214 2022/07/26 23:11:51 - mmengine - INFO - Epoch(train) [15][80/3757] lr: 9.8515e-03 eta: 2 days, 20:09:56 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 4.5172 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3520 loss: 3.3520 2022/07/26 23:11:59 - mmengine - INFO - Epoch(train) [15][100/3757] lr: 9.8515e-03 eta: 2 days, 20:09:47 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 4.4792 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0503 loss: 3.0503 2022/07/26 23:12:06 - mmengine - INFO - Epoch(train) [15][120/3757] lr: 9.8515e-03 eta: 2 days, 20:09:39 time: 0.3918 data_time: 0.0162 memory: 17007 grad_norm: 4.4313 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7211 loss: 3.7211 2022/07/26 23:12:14 - mmengine - INFO - Epoch(train) [15][140/3757] lr: 9.8515e-03 eta: 2 days, 20:09:31 time: 0.3927 data_time: 0.0150 memory: 17007 grad_norm: 4.4919 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4687 loss: 3.4687 2022/07/26 23:12:22 - mmengine - INFO - Epoch(train) [15][160/3757] lr: 9.8515e-03 eta: 2 days, 20:09:23 time: 0.3937 data_time: 0.0169 memory: 17007 grad_norm: 4.4929 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2475 loss: 3.2475 2022/07/26 23:12:30 - mmengine - INFO - Epoch(train) [15][180/3757] lr: 9.8515e-03 eta: 2 days, 20:09:15 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 4.4885 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2182 loss: 3.2182 2022/07/26 23:12:38 - mmengine - INFO - Epoch(train) [15][200/3757] lr: 9.8515e-03 eta: 2 days, 20:09:07 time: 0.3917 data_time: 0.0156 memory: 17007 grad_norm: 4.5133 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5356 loss: 3.5356 2022/07/26 23:12:46 - mmengine - INFO - Epoch(train) [15][220/3757] lr: 9.8515e-03 eta: 2 days, 20:08:59 time: 0.3922 data_time: 0.0162 memory: 17007 grad_norm: 4.4682 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3164 loss: 3.3164 2022/07/26 23:12:54 - mmengine - INFO - Epoch(train) [15][240/3757] lr: 9.8515e-03 eta: 2 days, 20:08:51 time: 0.3918 data_time: 0.0155 memory: 17007 grad_norm: 4.3574 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3600 loss: 3.3600 2022/07/26 23:13:01 - mmengine - INFO - Epoch(train) [15][260/3757] lr: 9.8515e-03 eta: 2 days, 20:08:43 time: 0.3932 data_time: 0.0166 memory: 17007 grad_norm: 4.4398 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4433 loss: 3.4433 2022/07/26 23:13:09 - mmengine - INFO - Epoch(train) [15][280/3757] lr: 9.8515e-03 eta: 2 days, 20:08:35 time: 0.3951 data_time: 0.0167 memory: 17007 grad_norm: 4.5297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0573 loss: 3.0573 2022/07/26 23:13:17 - mmengine - INFO - Epoch(train) [15][300/3757] lr: 9.8515e-03 eta: 2 days, 20:08:26 time: 0.3898 data_time: 0.0151 memory: 17007 grad_norm: 4.4267 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1246 loss: 3.1246 2022/07/26 23:13:25 - mmengine - INFO - Epoch(train) [15][320/3757] lr: 9.8515e-03 eta: 2 days, 20:08:19 time: 0.3938 data_time: 0.0171 memory: 17007 grad_norm: 4.5741 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0230 loss: 3.0230 2022/07/26 23:13:33 - mmengine - INFO - Epoch(train) [15][340/3757] lr: 9.8515e-03 eta: 2 days, 20:08:11 time: 0.3927 data_time: 0.0163 memory: 17007 grad_norm: 4.4210 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2279 loss: 3.2279 2022/07/26 23:13:41 - mmengine - INFO - Epoch(train) [15][360/3757] lr: 9.8515e-03 eta: 2 days, 20:08:03 time: 0.3932 data_time: 0.0170 memory: 17007 grad_norm: 4.5659 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0313 loss: 3.0313 2022/07/26 23:13:49 - mmengine - INFO - Epoch(train) [15][380/3757] lr: 9.8515e-03 eta: 2 days, 20:07:54 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 4.5000 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2846 loss: 3.2846 2022/07/26 23:13:56 - mmengine - INFO - Epoch(train) [15][400/3757] lr: 9.8515e-03 eta: 2 days, 20:07:46 time: 0.3913 data_time: 0.0170 memory: 17007 grad_norm: 4.4832 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1198 loss: 3.1198 2022/07/26 23:13:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:14:04 - mmengine - INFO - Epoch(train) [15][420/3757] lr: 9.8515e-03 eta: 2 days, 20:07:38 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 4.5657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2695 loss: 3.2695 2022/07/26 23:14:12 - mmengine - INFO - Epoch(train) [15][440/3757] lr: 9.8515e-03 eta: 2 days, 20:07:30 time: 0.3925 data_time: 0.0168 memory: 17007 grad_norm: 4.4394 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4066 loss: 3.4066 2022/07/26 23:14:20 - mmengine - INFO - Epoch(train) [15][460/3757] lr: 9.8515e-03 eta: 2 days, 20:07:22 time: 0.3925 data_time: 0.0164 memory: 17007 grad_norm: 4.5618 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3351 loss: 3.3351 2022/07/26 23:14:28 - mmengine - INFO - Epoch(train) [15][480/3757] lr: 9.8515e-03 eta: 2 days, 20:07:14 time: 0.3914 data_time: 0.0157 memory: 17007 grad_norm: 4.6091 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6318 loss: 3.6318 2022/07/26 23:14:36 - mmengine - INFO - Epoch(train) [15][500/3757] lr: 9.8515e-03 eta: 2 days, 20:07:06 time: 0.3920 data_time: 0.0153 memory: 17007 grad_norm: 4.4387 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3475 loss: 3.3475 2022/07/26 23:14:43 - mmengine - INFO - Epoch(train) [15][520/3757] lr: 9.8515e-03 eta: 2 days, 20:06:57 time: 0.3922 data_time: 0.0168 memory: 17007 grad_norm: 4.6458 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4115 loss: 3.4115 2022/07/26 23:14:51 - mmengine - INFO - Epoch(train) [15][540/3757] lr: 9.8515e-03 eta: 2 days, 20:06:49 time: 0.3930 data_time: 0.0167 memory: 17007 grad_norm: 4.3635 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2570 loss: 3.2570 2022/07/26 23:14:59 - mmengine - INFO - Epoch(train) [15][560/3757] lr: 9.8515e-03 eta: 2 days, 20:06:41 time: 0.3910 data_time: 0.0159 memory: 17007 grad_norm: 4.4955 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4870 loss: 3.4870 2022/07/26 23:15:07 - mmengine - INFO - Epoch(train) [15][580/3757] lr: 9.8515e-03 eta: 2 days, 20:06:33 time: 0.3914 data_time: 0.0158 memory: 17007 grad_norm: 4.4990 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2527 loss: 3.2527 2022/07/26 23:15:15 - mmengine - INFO - Epoch(train) [15][600/3757] lr: 9.8515e-03 eta: 2 days, 20:06:24 time: 0.3921 data_time: 0.0159 memory: 17007 grad_norm: 4.5759 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1641 loss: 3.1641 2022/07/26 23:15:23 - mmengine - INFO - Epoch(train) [15][620/3757] lr: 9.8515e-03 eta: 2 days, 20:06:16 time: 0.3916 data_time: 0.0162 memory: 17007 grad_norm: 4.5915 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4290 loss: 3.4290 2022/07/26 23:15:31 - mmengine - INFO - Epoch(train) [15][640/3757] lr: 9.8515e-03 eta: 2 days, 20:06:09 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 4.4791 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2719 loss: 3.2719 2022/07/26 23:15:39 - mmengine - INFO - Epoch(train) [15][660/3757] lr: 9.8515e-03 eta: 2 days, 20:06:02 time: 0.3976 data_time: 0.0160 memory: 17007 grad_norm: 4.6846 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3945 loss: 3.3945 2022/07/26 23:15:46 - mmengine - INFO - Epoch(train) [15][680/3757] lr: 9.8515e-03 eta: 2 days, 20:05:54 time: 0.3925 data_time: 0.0164 memory: 17007 grad_norm: 4.6243 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4639 loss: 3.4639 2022/07/26 23:15:54 - mmengine - INFO - Epoch(train) [15][700/3757] lr: 9.8515e-03 eta: 2 days, 20:05:46 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 4.5747 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.4986 loss: 3.4986 2022/07/26 23:16:02 - mmengine - INFO - Epoch(train) [15][720/3757] lr: 9.8515e-03 eta: 2 days, 20:05:38 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 4.4600 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4799 loss: 3.4799 2022/07/26 23:16:10 - mmengine - INFO - Epoch(train) [15][740/3757] lr: 9.8515e-03 eta: 2 days, 20:05:30 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 4.5299 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2407 loss: 3.2407 2022/07/26 23:16:18 - mmengine - INFO - Epoch(train) [15][760/3757] lr: 9.8515e-03 eta: 2 days, 20:05:21 time: 0.3903 data_time: 0.0141 memory: 17007 grad_norm: 4.6271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0456 loss: 3.0456 2022/07/26 23:16:26 - mmengine - INFO - Epoch(train) [15][780/3757] lr: 9.8515e-03 eta: 2 days, 20:05:13 time: 0.3912 data_time: 0.0162 memory: 17007 grad_norm: 4.6859 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3721 loss: 3.3721 2022/07/26 23:16:33 - mmengine - INFO - Epoch(train) [15][800/3757] lr: 9.8515e-03 eta: 2 days, 20:05:05 time: 0.3930 data_time: 0.0165 memory: 17007 grad_norm: 4.6544 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3077 loss: 3.3077 2022/07/26 23:16:41 - mmengine - INFO - Epoch(train) [15][820/3757] lr: 9.8515e-03 eta: 2 days, 20:04:57 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 4.6155 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2769 loss: 3.2769 2022/07/26 23:16:49 - mmengine - INFO - Epoch(train) [15][840/3757] lr: 9.8515e-03 eta: 2 days, 20:04:48 time: 0.3904 data_time: 0.0161 memory: 17007 grad_norm: 4.7424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4302 loss: 3.4302 2022/07/26 23:16:57 - mmengine - INFO - Epoch(train) [15][860/3757] lr: 9.8515e-03 eta: 2 days, 20:04:39 time: 0.3908 data_time: 0.0151 memory: 17007 grad_norm: 4.4615 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3539 loss: 3.3539 2022/07/26 23:17:05 - mmengine - INFO - Epoch(train) [15][880/3757] lr: 9.8515e-03 eta: 2 days, 20:04:34 time: 0.4031 data_time: 0.0170 memory: 17007 grad_norm: 4.4978 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2467 loss: 3.2467 2022/07/26 23:17:13 - mmengine - INFO - Epoch(train) [15][900/3757] lr: 9.8515e-03 eta: 2 days, 20:04:26 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 4.5168 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2399 loss: 3.2399 2022/07/26 23:17:21 - mmengine - INFO - Epoch(train) [15][920/3757] lr: 9.8515e-03 eta: 2 days, 20:04:19 time: 0.3992 data_time: 0.0176 memory: 17007 grad_norm: 4.7984 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2665 loss: 3.2665 2022/07/26 23:17:29 - mmengine - INFO - Epoch(train) [15][940/3757] lr: 9.8515e-03 eta: 2 days, 20:04:11 time: 0.3926 data_time: 0.0166 memory: 17007 grad_norm: 6.1309 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4500 loss: 3.4500 2022/07/26 23:17:37 - mmengine - INFO - Epoch(train) [15][960/3757] lr: 9.8515e-03 eta: 2 days, 20:04:03 time: 0.3921 data_time: 0.0161 memory: 17007 grad_norm: 4.8601 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6970 loss: 3.6970 2022/07/26 23:17:45 - mmengine - INFO - Epoch(train) [15][980/3757] lr: 9.8515e-03 eta: 2 days, 20:03:57 time: 0.4026 data_time: 0.0164 memory: 17007 grad_norm: 4.9067 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4784 loss: 3.4784 2022/07/26 23:17:53 - mmengine - INFO - Epoch(train) [15][1000/3757] lr: 9.8515e-03 eta: 2 days, 20:03:50 time: 0.3962 data_time: 0.0171 memory: 17007 grad_norm: 4.6394 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2755 loss: 3.2755 2022/07/26 23:18:01 - mmengine - INFO - Epoch(train) [15][1020/3757] lr: 9.8515e-03 eta: 2 days, 20:03:44 time: 0.4039 data_time: 0.0165 memory: 17007 grad_norm: 4.6680 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5064 loss: 3.5064 2022/07/26 23:18:09 - mmengine - INFO - Epoch(train) [15][1040/3757] lr: 9.8515e-03 eta: 2 days, 20:03:43 time: 0.4198 data_time: 0.0174 memory: 17007 grad_norm: 4.6068 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.6234 loss: 3.6234 2022/07/26 23:18:17 - mmengine - INFO - Epoch(train) [15][1060/3757] lr: 9.8515e-03 eta: 2 days, 20:03:34 time: 0.3895 data_time: 0.0151 memory: 17007 grad_norm: 4.5863 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2870 loss: 3.2870 2022/07/26 23:18:25 - mmengine - INFO - Epoch(train) [15][1080/3757] lr: 9.8515e-03 eta: 2 days, 20:03:27 time: 0.3981 data_time: 0.0155 memory: 17007 grad_norm: 4.7747 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5439 loss: 3.5439 2022/07/26 23:18:33 - mmengine - INFO - Epoch(train) [15][1100/3757] lr: 9.8515e-03 eta: 2 days, 20:03:19 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 4.8271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0774 loss: 3.0774 2022/07/26 23:18:41 - mmengine - INFO - Epoch(train) [15][1120/3757] lr: 9.8515e-03 eta: 2 days, 20:03:14 time: 0.4061 data_time: 0.0168 memory: 17007 grad_norm: 4.7427 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3662 loss: 3.3662 2022/07/26 23:18:49 - mmengine - INFO - Epoch(train) [15][1140/3757] lr: 9.8515e-03 eta: 2 days, 20:03:06 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 4.6277 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3991 loss: 3.3991 2022/07/26 23:18:56 - mmengine - INFO - Epoch(train) [15][1160/3757] lr: 9.8515e-03 eta: 2 days, 20:02:58 time: 0.3925 data_time: 0.0165 memory: 17007 grad_norm: 4.5854 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3648 loss: 3.3648 2022/07/26 23:19:05 - mmengine - INFO - Epoch(train) [15][1180/3757] lr: 9.8515e-03 eta: 2 days, 20:02:53 time: 0.4074 data_time: 0.0159 memory: 17007 grad_norm: 4.6987 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5823 loss: 3.5823 2022/07/26 23:19:12 - mmengine - INFO - Epoch(train) [15][1200/3757] lr: 9.8515e-03 eta: 2 days, 20:02:45 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 4.6912 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2782 loss: 3.2782 2022/07/26 23:19:20 - mmengine - INFO - Epoch(train) [15][1220/3757] lr: 9.8515e-03 eta: 2 days, 20:02:37 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 4.6246 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1026 loss: 3.1026 2022/07/26 23:19:28 - mmengine - INFO - Epoch(train) [15][1240/3757] lr: 9.8515e-03 eta: 2 days, 20:02:29 time: 0.3924 data_time: 0.0169 memory: 17007 grad_norm: 4.4519 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3929 loss: 3.3929 2022/07/26 23:19:36 - mmengine - INFO - Epoch(train) [15][1260/3757] lr: 9.8515e-03 eta: 2 days, 20:02:21 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 4.5635 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5208 loss: 3.5208 2022/07/26 23:19:44 - mmengine - INFO - Epoch(train) [15][1280/3757] lr: 9.8515e-03 eta: 2 days, 20:02:18 time: 0.4137 data_time: 0.0160 memory: 17007 grad_norm: 4.6884 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2099 loss: 3.2099 2022/07/26 23:19:52 - mmengine - INFO - Epoch(train) [15][1300/3757] lr: 9.8515e-03 eta: 2 days, 20:02:10 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 4.5382 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2984 loss: 3.2984 2022/07/26 23:20:00 - mmengine - INFO - Epoch(train) [15][1320/3757] lr: 9.8515e-03 eta: 2 days, 20:02:02 time: 0.3965 data_time: 0.0168 memory: 17007 grad_norm: 4.4426 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3113 loss: 3.3113 2022/07/26 23:20:08 - mmengine - INFO - Epoch(train) [15][1340/3757] lr: 9.8515e-03 eta: 2 days, 20:01:54 time: 0.3906 data_time: 0.0149 memory: 17007 grad_norm: 4.3963 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3767 loss: 3.3767 2022/07/26 23:20:16 - mmengine - INFO - Epoch(train) [15][1360/3757] lr: 9.8515e-03 eta: 2 days, 20:01:46 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 4.5623 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6865 loss: 3.6865 2022/07/26 23:20:24 - mmengine - INFO - Epoch(train) [15][1380/3757] lr: 9.8515e-03 eta: 2 days, 20:01:38 time: 0.3943 data_time: 0.0162 memory: 17007 grad_norm: 4.4641 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3294 loss: 3.3294 2022/07/26 23:20:31 - mmengine - INFO - Epoch(train) [15][1400/3757] lr: 9.8515e-03 eta: 2 days, 20:01:30 time: 0.3925 data_time: 0.0163 memory: 17007 grad_norm: 4.6847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2853 loss: 3.2853 2022/07/26 23:20:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:20:40 - mmengine - INFO - Epoch(train) [15][1420/3757] lr: 9.8515e-03 eta: 2 days, 20:01:26 time: 0.4115 data_time: 0.0164 memory: 17007 grad_norm: 4.7907 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0611 loss: 3.0611 2022/07/26 23:20:48 - mmengine - INFO - Epoch(train) [15][1440/3757] lr: 9.8515e-03 eta: 2 days, 20:01:18 time: 0.3913 data_time: 0.0160 memory: 17007 grad_norm: 4.6034 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3140 loss: 3.3140 2022/07/26 23:20:55 - mmengine - INFO - Epoch(train) [15][1460/3757] lr: 9.8515e-03 eta: 2 days, 20:01:10 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 4.4947 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9926 loss: 2.9926 2022/07/26 23:21:04 - mmengine - INFO - Epoch(train) [15][1480/3757] lr: 9.8515e-03 eta: 2 days, 20:01:07 time: 0.4160 data_time: 0.0181 memory: 17007 grad_norm: 4.6334 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7891 loss: 3.7891 2022/07/26 23:21:12 - mmengine - INFO - Epoch(train) [15][1500/3757] lr: 9.8515e-03 eta: 2 days, 20:00:59 time: 0.3927 data_time: 0.0166 memory: 17007 grad_norm: 4.5452 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5919 loss: 3.5919 2022/07/26 23:21:19 - mmengine - INFO - Epoch(train) [15][1520/3757] lr: 9.8515e-03 eta: 2 days, 20:00:51 time: 0.3925 data_time: 0.0164 memory: 17007 grad_norm: 4.5623 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4669 loss: 3.4669 2022/07/26 23:21:27 - mmengine - INFO - Epoch(train) [15][1540/3757] lr: 9.8515e-03 eta: 2 days, 20:00:42 time: 0.3900 data_time: 0.0160 memory: 17007 grad_norm: 4.7267 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2007 loss: 3.2007 2022/07/26 23:21:35 - mmengine - INFO - Epoch(train) [15][1560/3757] lr: 9.8515e-03 eta: 2 days, 20:00:34 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 4.6241 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5329 loss: 3.5329 2022/07/26 23:21:43 - mmengine - INFO - Epoch(train) [15][1580/3757] lr: 9.8515e-03 eta: 2 days, 20:00:26 time: 0.3931 data_time: 0.0146 memory: 17007 grad_norm: 4.7755 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8359 loss: 3.8359 2022/07/26 23:21:51 - mmengine - INFO - Epoch(train) [15][1600/3757] lr: 9.8515e-03 eta: 2 days, 20:00:18 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 4.6326 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2537 loss: 3.2537 2022/07/26 23:21:59 - mmengine - INFO - Epoch(train) [15][1620/3757] lr: 9.8515e-03 eta: 2 days, 20:00:10 time: 0.3910 data_time: 0.0152 memory: 17007 grad_norm: 4.6627 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5081 loss: 3.5081 2022/07/26 23:22:06 - mmengine - INFO - Epoch(train) [15][1640/3757] lr: 9.8515e-03 eta: 2 days, 20:00:02 time: 0.3924 data_time: 0.0161 memory: 17007 grad_norm: 4.6665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3813 loss: 3.3813 2022/07/26 23:22:14 - mmengine - INFO - Epoch(train) [15][1660/3757] lr: 9.8515e-03 eta: 2 days, 19:59:54 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 4.6317 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1720 loss: 3.1720 2022/07/26 23:22:22 - mmengine - INFO - Epoch(train) [15][1680/3757] lr: 9.8515e-03 eta: 2 days, 19:59:46 time: 0.3914 data_time: 0.0157 memory: 17007 grad_norm: 4.7125 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4449 loss: 3.4449 2022/07/26 23:22:30 - mmengine - INFO - Epoch(train) [15][1700/3757] lr: 9.8515e-03 eta: 2 days, 19:59:37 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 4.6093 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0557 loss: 3.0557 2022/07/26 23:22:38 - mmengine - INFO - Epoch(train) [15][1720/3757] lr: 9.8515e-03 eta: 2 days, 19:59:29 time: 0.3909 data_time: 0.0157 memory: 17007 grad_norm: 4.6645 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2996 loss: 3.2996 2022/07/26 23:22:46 - mmengine - INFO - Epoch(train) [15][1740/3757] lr: 9.8515e-03 eta: 2 days, 19:59:21 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 4.5719 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3302 loss: 3.3302 2022/07/26 23:22:54 - mmengine - INFO - Epoch(train) [15][1760/3757] lr: 9.8515e-03 eta: 2 days, 19:59:13 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 4.5471 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3184 loss: 3.3184 2022/07/26 23:23:01 - mmengine - INFO - Epoch(train) [15][1780/3757] lr: 9.8515e-03 eta: 2 days, 19:59:04 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 4.6262 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2905 loss: 3.2905 2022/07/26 23:23:09 - mmengine - INFO - Epoch(train) [15][1800/3757] lr: 9.8515e-03 eta: 2 days, 19:58:58 time: 0.4006 data_time: 0.0164 memory: 17007 grad_norm: 4.5496 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2797 loss: 3.2797 2022/07/26 23:23:17 - mmengine - INFO - Epoch(train) [15][1820/3757] lr: 9.8515e-03 eta: 2 days, 19:58:50 time: 0.3915 data_time: 0.0156 memory: 17007 grad_norm: 4.6973 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4692 loss: 3.4692 2022/07/26 23:23:25 - mmengine - INFO - Epoch(train) [15][1840/3757] lr: 9.8515e-03 eta: 2 days, 19:58:42 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 4.6144 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3440 loss: 3.3440 2022/07/26 23:23:33 - mmengine - INFO - Epoch(train) [15][1860/3757] lr: 9.8515e-03 eta: 2 days, 19:58:33 time: 0.3912 data_time: 0.0146 memory: 17007 grad_norm: 4.6485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2013 loss: 3.2013 2022/07/26 23:23:41 - mmengine - INFO - Epoch(train) [15][1880/3757] lr: 9.8515e-03 eta: 2 days, 19:58:26 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 4.6653 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5809 loss: 3.5809 2022/07/26 23:23:49 - mmengine - INFO - Epoch(train) [15][1900/3757] lr: 9.8515e-03 eta: 2 days, 19:58:17 time: 0.3904 data_time: 0.0143 memory: 17007 grad_norm: 4.7505 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3294 loss: 3.3294 2022/07/26 23:23:56 - mmengine - INFO - Epoch(train) [15][1920/3757] lr: 9.8515e-03 eta: 2 days, 19:58:09 time: 0.3918 data_time: 0.0160 memory: 17007 grad_norm: 4.5538 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1139 loss: 3.1139 2022/07/26 23:24:04 - mmengine - INFO - Epoch(train) [15][1940/3757] lr: 9.8515e-03 eta: 2 days, 19:58:01 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 4.7910 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3109 loss: 3.3109 2022/07/26 23:24:12 - mmengine - INFO - Epoch(train) [15][1960/3757] lr: 9.8515e-03 eta: 2 days, 19:57:53 time: 0.3951 data_time: 0.0165 memory: 17007 grad_norm: 4.7081 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4785 loss: 3.4785 2022/07/26 23:24:20 - mmengine - INFO - Epoch(train) [15][1980/3757] lr: 9.8515e-03 eta: 2 days, 19:57:45 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 4.7284 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3217 loss: 3.3217 2022/07/26 23:24:28 - mmengine - INFO - Epoch(train) [15][2000/3757] lr: 9.8515e-03 eta: 2 days, 19:57:36 time: 0.3908 data_time: 0.0155 memory: 17007 grad_norm: 4.7893 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5017 loss: 3.5017 2022/07/26 23:24:36 - mmengine - INFO - Epoch(train) [15][2020/3757] lr: 9.8515e-03 eta: 2 days, 19:57:28 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 4.6789 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3767 loss: 3.3767 2022/07/26 23:24:44 - mmengine - INFO - Epoch(train) [15][2040/3757] lr: 9.8515e-03 eta: 2 days, 19:57:20 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 4.5254 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4787 loss: 3.4787 2022/07/26 23:24:51 - mmengine - INFO - Epoch(train) [15][2060/3757] lr: 9.8515e-03 eta: 2 days, 19:57:13 time: 0.3950 data_time: 0.0165 memory: 17007 grad_norm: 4.6918 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3312 loss: 3.3312 2022/07/26 23:24:59 - mmengine - INFO - Epoch(train) [15][2080/3757] lr: 9.8515e-03 eta: 2 days, 19:57:05 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 4.6422 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3742 loss: 3.3742 2022/07/26 23:25:07 - mmengine - INFO - Epoch(train) [15][2100/3757] lr: 9.8515e-03 eta: 2 days, 19:56:56 time: 0.3901 data_time: 0.0149 memory: 17007 grad_norm: 4.7270 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4196 loss: 3.4196 2022/07/26 23:25:15 - mmengine - INFO - Epoch(train) [15][2120/3757] lr: 9.8515e-03 eta: 2 days, 19:56:48 time: 0.3922 data_time: 0.0164 memory: 17007 grad_norm: 4.5677 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5990 loss: 3.5990 2022/07/26 23:25:23 - mmengine - INFO - Epoch(train) [15][2140/3757] lr: 9.8515e-03 eta: 2 days, 19:56:42 time: 0.4008 data_time: 0.0158 memory: 17007 grad_norm: 4.4987 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.5469 loss: 3.5469 2022/07/26 23:25:31 - mmengine - INFO - Epoch(train) [15][2160/3757] lr: 9.8515e-03 eta: 2 days, 19:56:34 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 4.5881 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2628 loss: 3.2628 2022/07/26 23:25:39 - mmengine - INFO - Epoch(train) [15][2180/3757] lr: 9.8515e-03 eta: 2 days, 19:56:25 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 4.7095 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3144 loss: 3.3144 2022/07/26 23:25:47 - mmengine - INFO - Epoch(train) [15][2200/3757] lr: 9.8515e-03 eta: 2 days, 19:56:20 time: 0.4060 data_time: 0.0166 memory: 17007 grad_norm: 4.6193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5051 loss: 3.5051 2022/07/26 23:25:55 - mmengine - INFO - Epoch(train) [15][2220/3757] lr: 9.8515e-03 eta: 2 days, 19:56:12 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 4.8629 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6305 loss: 3.6305 2022/07/26 23:26:03 - mmengine - INFO - Epoch(train) [15][2240/3757] lr: 9.8515e-03 eta: 2 days, 19:56:07 time: 0.4062 data_time: 0.0160 memory: 17007 grad_norm: 4.6782 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4980 loss: 3.4980 2022/07/26 23:26:11 - mmengine - INFO - Epoch(train) [15][2260/3757] lr: 9.8515e-03 eta: 2 days, 19:56:00 time: 0.3965 data_time: 0.0157 memory: 17007 grad_norm: 4.7721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3683 loss: 3.3683 2022/07/26 23:26:19 - mmengine - INFO - Epoch(train) [15][2280/3757] lr: 9.8515e-03 eta: 2 days, 19:55:52 time: 0.3912 data_time: 0.0155 memory: 17007 grad_norm: 4.8052 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2089 loss: 3.2089 2022/07/26 23:26:27 - mmengine - INFO - Epoch(train) [15][2300/3757] lr: 9.8515e-03 eta: 2 days, 19:55:46 time: 0.4046 data_time: 0.0156 memory: 17007 grad_norm: 4.8489 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2554 loss: 3.2554 2022/07/26 23:26:35 - mmengine - INFO - Epoch(train) [15][2320/3757] lr: 9.8515e-03 eta: 2 days, 19:55:38 time: 0.3922 data_time: 0.0160 memory: 17007 grad_norm: 4.8895 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3260 loss: 3.3260 2022/07/26 23:26:42 - mmengine - INFO - Epoch(train) [15][2340/3757] lr: 9.8515e-03 eta: 2 days, 19:55:31 time: 0.3970 data_time: 0.0157 memory: 17007 grad_norm: 4.6636 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2207 loss: 3.2207 2022/07/26 23:26:50 - mmengine - INFO - Epoch(train) [15][2360/3757] lr: 9.8515e-03 eta: 2 days, 19:55:23 time: 0.3929 data_time: 0.0164 memory: 17007 grad_norm: 4.5464 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3819 loss: 3.3819 2022/07/26 23:26:58 - mmengine - INFO - Epoch(train) [15][2380/3757] lr: 9.8515e-03 eta: 2 days, 19:55:15 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 4.4994 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4010 loss: 3.4010 2022/07/26 23:27:06 - mmengine - INFO - Epoch(train) [15][2400/3757] lr: 9.8515e-03 eta: 2 days, 19:55:07 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 4.4841 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2653 loss: 3.2653 2022/07/26 23:27:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:27:14 - mmengine - INFO - Epoch(train) [15][2420/3757] lr: 9.8515e-03 eta: 2 days, 19:54:58 time: 0.3910 data_time: 0.0143 memory: 17007 grad_norm: 4.6686 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5227 loss: 3.5227 2022/07/26 23:27:22 - mmengine - INFO - Epoch(train) [15][2440/3757] lr: 9.8515e-03 eta: 2 days, 19:54:50 time: 0.3922 data_time: 0.0166 memory: 17007 grad_norm: 4.7206 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1175 loss: 3.1175 2022/07/26 23:27:30 - mmengine - INFO - Epoch(train) [15][2460/3757] lr: 9.8515e-03 eta: 2 days, 19:54:42 time: 0.3913 data_time: 0.0159 memory: 17007 grad_norm: 4.6273 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0546 loss: 3.0546 2022/07/26 23:27:37 - mmengine - INFO - Epoch(train) [15][2480/3757] lr: 9.8515e-03 eta: 2 days, 19:54:33 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 4.7782 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6867 loss: 3.6867 2022/07/26 23:27:45 - mmengine - INFO - Epoch(train) [15][2500/3757] lr: 9.8515e-03 eta: 2 days, 19:54:27 time: 0.3983 data_time: 0.0171 memory: 17007 grad_norm: 4.6688 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.1339 loss: 3.1339 2022/07/26 23:27:53 - mmengine - INFO - Epoch(train) [15][2520/3757] lr: 9.8515e-03 eta: 2 days, 19:54:18 time: 0.3914 data_time: 0.0158 memory: 17007 grad_norm: 4.7638 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4969 loss: 3.4969 2022/07/26 23:28:01 - mmengine - INFO - Epoch(train) [15][2540/3757] lr: 9.8515e-03 eta: 2 days, 19:54:11 time: 0.3946 data_time: 0.0164 memory: 17007 grad_norm: 4.7603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1984 loss: 3.1984 2022/07/26 23:28:09 - mmengine - INFO - Epoch(train) [15][2560/3757] lr: 9.8515e-03 eta: 2 days, 19:54:03 time: 0.3929 data_time: 0.0166 memory: 17007 grad_norm: 4.6795 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4358 loss: 3.4358 2022/07/26 23:28:17 - mmengine - INFO - Epoch(train) [15][2580/3757] lr: 9.8515e-03 eta: 2 days, 19:53:54 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 4.6133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.5092 loss: 3.5092 2022/07/26 23:28:25 - mmengine - INFO - Epoch(train) [15][2600/3757] lr: 9.8515e-03 eta: 2 days, 19:53:46 time: 0.3915 data_time: 0.0166 memory: 17007 grad_norm: 4.5744 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2642 loss: 3.2642 2022/07/26 23:28:32 - mmengine - INFO - Epoch(train) [15][2620/3757] lr: 9.8515e-03 eta: 2 days, 19:53:37 time: 0.3907 data_time: 0.0152 memory: 17007 grad_norm: 4.6810 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2309 loss: 3.2309 2022/07/26 23:28:41 - mmengine - INFO - Epoch(train) [15][2640/3757] lr: 9.8515e-03 eta: 2 days, 19:53:33 time: 0.4100 data_time: 0.0170 memory: 17007 grad_norm: 4.5598 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4456 loss: 3.4456 2022/07/26 23:28:48 - mmengine - INFO - Epoch(train) [15][2660/3757] lr: 9.8515e-03 eta: 2 days, 19:53:24 time: 0.3902 data_time: 0.0152 memory: 17007 grad_norm: 4.4908 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4398 loss: 3.4398 2022/07/26 23:28:56 - mmengine - INFO - Epoch(train) [15][2680/3757] lr: 9.8515e-03 eta: 2 days, 19:53:17 time: 0.3943 data_time: 0.0170 memory: 17007 grad_norm: 4.5226 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.5968 loss: 3.5968 2022/07/26 23:29:04 - mmengine - INFO - Epoch(train) [15][2700/3757] lr: 9.8515e-03 eta: 2 days, 19:53:10 time: 0.3992 data_time: 0.0155 memory: 17007 grad_norm: 4.5380 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1550 loss: 3.1550 2022/07/26 23:29:12 - mmengine - INFO - Epoch(train) [15][2720/3757] lr: 9.8515e-03 eta: 2 days, 19:53:02 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 4.5606 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2683 loss: 3.2683 2022/07/26 23:29:20 - mmengine - INFO - Epoch(train) [15][2740/3757] lr: 9.8515e-03 eta: 2 days, 19:52:54 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 4.6315 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4170 loss: 3.4170 2022/07/26 23:29:28 - mmengine - INFO - Epoch(train) [15][2760/3757] lr: 9.8515e-03 eta: 2 days, 19:52:45 time: 0.3902 data_time: 0.0156 memory: 17007 grad_norm: 4.7368 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1092 loss: 3.1092 2022/07/26 23:29:36 - mmengine - INFO - Epoch(train) [15][2780/3757] lr: 9.8515e-03 eta: 2 days, 19:52:37 time: 0.3927 data_time: 0.0156 memory: 17007 grad_norm: 5.5902 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.5164 loss: 3.5164 2022/07/26 23:29:43 - mmengine - INFO - Epoch(train) [15][2800/3757] lr: 9.8515e-03 eta: 2 days, 19:52:29 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 4.8175 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4743 loss: 3.4743 2022/07/26 23:29:51 - mmengine - INFO - Epoch(train) [15][2820/3757] lr: 9.8515e-03 eta: 2 days, 19:52:22 time: 0.3978 data_time: 0.0152 memory: 17007 grad_norm: 4.8422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1108 loss: 3.1108 2022/07/26 23:29:59 - mmengine - INFO - Epoch(train) [15][2840/3757] lr: 9.8515e-03 eta: 2 days, 19:52:14 time: 0.3909 data_time: 0.0155 memory: 17007 grad_norm: 4.9894 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2445 loss: 3.2445 2022/07/26 23:30:07 - mmengine - INFO - Epoch(train) [15][2860/3757] lr: 9.8515e-03 eta: 2 days, 19:52:05 time: 0.3917 data_time: 0.0162 memory: 17007 grad_norm: 5.0040 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6347 loss: 3.6347 2022/07/26 23:30:15 - mmengine - INFO - Epoch(train) [15][2880/3757] lr: 9.8515e-03 eta: 2 days, 19:52:00 time: 0.4054 data_time: 0.0159 memory: 17007 grad_norm: 4.7142 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.2006 loss: 3.2006 2022/07/26 23:30:23 - mmengine - INFO - Epoch(train) [15][2900/3757] lr: 9.8515e-03 eta: 2 days, 19:51:52 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 4.6411 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4865 loss: 3.4865 2022/07/26 23:30:31 - mmengine - INFO - Epoch(train) [15][2920/3757] lr: 9.8515e-03 eta: 2 days, 19:51:44 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 4.6982 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2501 loss: 3.2501 2022/07/26 23:30:39 - mmengine - INFO - Epoch(train) [15][2940/3757] lr: 9.8515e-03 eta: 2 days, 19:51:36 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 4.5410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3124 loss: 3.3124 2022/07/26 23:30:47 - mmengine - INFO - Epoch(train) [15][2960/3757] lr: 9.8515e-03 eta: 2 days, 19:51:28 time: 0.3932 data_time: 0.0166 memory: 17007 grad_norm: 4.6546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2153 loss: 3.2153 2022/07/26 23:30:54 - mmengine - INFO - Epoch(train) [15][2980/3757] lr: 9.8515e-03 eta: 2 days, 19:51:19 time: 0.3904 data_time: 0.0151 memory: 17007 grad_norm: 4.7263 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.1842 loss: 3.1842 2022/07/26 23:31:02 - mmengine - INFO - Epoch(train) [15][3000/3757] lr: 9.8515e-03 eta: 2 days, 19:51:13 time: 0.3994 data_time: 0.0173 memory: 17007 grad_norm: 4.7129 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3583 loss: 3.3583 2022/07/26 23:31:10 - mmengine - INFO - Epoch(train) [15][3020/3757] lr: 9.8515e-03 eta: 2 days, 19:51:04 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 4.7480 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2505 loss: 3.2505 2022/07/26 23:31:18 - mmengine - INFO - Epoch(train) [15][3040/3757] lr: 9.8515e-03 eta: 2 days, 19:50:56 time: 0.3908 data_time: 0.0154 memory: 17007 grad_norm: 4.7272 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9393 loss: 2.9393 2022/07/26 23:31:26 - mmengine - INFO - Epoch(train) [15][3060/3757] lr: 9.8515e-03 eta: 2 days, 19:50:50 time: 0.4003 data_time: 0.0155 memory: 17007 grad_norm: 4.7291 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5554 loss: 3.5554 2022/07/26 23:31:34 - mmengine - INFO - Epoch(train) [15][3080/3757] lr: 9.8515e-03 eta: 2 days, 19:50:41 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 4.7239 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.3972 loss: 3.3972 2022/07/26 23:31:42 - mmengine - INFO - Epoch(train) [15][3100/3757] lr: 9.8515e-03 eta: 2 days, 19:50:36 time: 0.4048 data_time: 0.0166 memory: 17007 grad_norm: 4.8868 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1320 loss: 3.1320 2022/07/26 23:31:50 - mmengine - INFO - Epoch(train) [15][3120/3757] lr: 9.8515e-03 eta: 2 days, 19:50:27 time: 0.3902 data_time: 0.0148 memory: 17007 grad_norm: 4.8108 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.7013 loss: 3.7013 2022/07/26 23:31:58 - mmengine - INFO - Epoch(train) [15][3140/3757] lr: 9.8515e-03 eta: 2 days, 19:50:19 time: 0.3909 data_time: 0.0138 memory: 17007 grad_norm: 4.5569 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2779 loss: 3.2779 2022/07/26 23:32:06 - mmengine - INFO - Epoch(train) [15][3160/3757] lr: 9.8515e-03 eta: 2 days, 19:50:11 time: 0.3950 data_time: 0.0159 memory: 17007 grad_norm: 4.5299 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6843 loss: 3.6843 2022/07/26 23:32:13 - mmengine - INFO - Epoch(train) [15][3180/3757] lr: 9.8515e-03 eta: 2 days, 19:50:03 time: 0.3933 data_time: 0.0170 memory: 17007 grad_norm: 4.5129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4594 loss: 3.4594 2022/07/26 23:32:21 - mmengine - INFO - Epoch(train) [15][3200/3757] lr: 9.8515e-03 eta: 2 days, 19:49:55 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 4.8806 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2563 loss: 3.2563 2022/07/26 23:32:29 - mmengine - INFO - Epoch(train) [15][3220/3757] lr: 9.8515e-03 eta: 2 days, 19:49:47 time: 0.3906 data_time: 0.0153 memory: 17007 grad_norm: 4.9228 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.6487 loss: 3.6487 2022/07/26 23:32:37 - mmengine - INFO - Epoch(train) [15][3240/3757] lr: 9.8515e-03 eta: 2 days, 19:49:39 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 4.7446 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9372 loss: 2.9372 2022/07/26 23:32:45 - mmengine - INFO - Epoch(train) [15][3260/3757] lr: 9.8515e-03 eta: 2 days, 19:49:31 time: 0.3928 data_time: 0.0167 memory: 17007 grad_norm: 4.8084 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4598 loss: 3.4598 2022/07/26 23:32:53 - mmengine - INFO - Epoch(train) [15][3280/3757] lr: 9.8515e-03 eta: 2 days, 19:49:24 time: 0.3947 data_time: 0.0166 memory: 17007 grad_norm: 4.6665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1998 loss: 3.1998 2022/07/26 23:33:01 - mmengine - INFO - Epoch(train) [15][3300/3757] lr: 9.8515e-03 eta: 2 days, 19:49:16 time: 0.3949 data_time: 0.0167 memory: 17007 grad_norm: 4.6453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1652 loss: 3.1652 2022/07/26 23:33:09 - mmengine - INFO - Epoch(train) [15][3320/3757] lr: 9.8515e-03 eta: 2 days, 19:49:09 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 4.6447 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4087 loss: 3.4087 2022/07/26 23:33:16 - mmengine - INFO - Epoch(train) [15][3340/3757] lr: 9.8515e-03 eta: 2 days, 19:49:00 time: 0.3918 data_time: 0.0145 memory: 17007 grad_norm: 4.8248 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2626 loss: 3.2626 2022/07/26 23:33:24 - mmengine - INFO - Epoch(train) [15][3360/3757] lr: 9.8515e-03 eta: 2 days, 19:48:52 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 4.6417 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2136 loss: 3.2136 2022/07/26 23:33:32 - mmengine - INFO - Epoch(train) [15][3380/3757] lr: 9.8515e-03 eta: 2 days, 19:48:44 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 4.5537 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1278 loss: 3.1278 2022/07/26 23:33:40 - mmengine - INFO - Epoch(train) [15][3400/3757] lr: 9.8515e-03 eta: 2 days, 19:48:37 time: 0.3969 data_time: 0.0163 memory: 17007 grad_norm: 4.8198 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4338 loss: 3.4338 2022/07/26 23:33:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:33:48 - mmengine - INFO - Epoch(train) [15][3420/3757] lr: 9.8515e-03 eta: 2 days, 19:48:28 time: 0.3917 data_time: 0.0136 memory: 17007 grad_norm: 4.6766 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6202 loss: 3.6202 2022/07/26 23:33:56 - mmengine - INFO - Epoch(train) [15][3440/3757] lr: 9.8515e-03 eta: 2 days, 19:48:20 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 4.7745 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0887 loss: 3.0887 2022/07/26 23:34:04 - mmengine - INFO - Epoch(train) [15][3460/3757] lr: 9.8515e-03 eta: 2 days, 19:48:13 time: 0.3969 data_time: 0.0182 memory: 17007 grad_norm: 4.8109 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3843 loss: 3.3843 2022/07/26 23:34:11 - mmengine - INFO - Epoch(train) [15][3480/3757] lr: 9.8515e-03 eta: 2 days, 19:48:05 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 4.6245 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3313 loss: 3.3313 2022/07/26 23:34:19 - mmengine - INFO - Epoch(train) [15][3500/3757] lr: 9.8515e-03 eta: 2 days, 19:47:57 time: 0.3907 data_time: 0.0149 memory: 17007 grad_norm: 4.7655 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1205 loss: 3.1205 2022/07/26 23:34:27 - mmengine - INFO - Epoch(train) [15][3520/3757] lr: 9.8515e-03 eta: 2 days, 19:47:52 time: 0.4055 data_time: 0.0164 memory: 17007 grad_norm: 4.6780 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5330 loss: 3.5330 2022/07/26 23:34:35 - mmengine - INFO - Epoch(train) [15][3540/3757] lr: 9.8515e-03 eta: 2 days, 19:47:43 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 4.5786 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5791 loss: 3.5791 2022/07/26 23:34:43 - mmengine - INFO - Epoch(train) [15][3560/3757] lr: 9.8515e-03 eta: 2 days, 19:47:36 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 4.6411 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4301 loss: 3.4301 2022/07/26 23:34:51 - mmengine - INFO - Epoch(train) [15][3580/3757] lr: 9.8515e-03 eta: 2 days, 19:47:28 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 4.7997 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4535 loss: 3.4535 2022/07/26 23:34:59 - mmengine - INFO - Epoch(train) [15][3600/3757] lr: 9.8515e-03 eta: 2 days, 19:47:20 time: 0.3922 data_time: 0.0159 memory: 17007 grad_norm: 4.6942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5095 loss: 3.5095 2022/07/26 23:35:07 - mmengine - INFO - Epoch(train) [15][3620/3757] lr: 9.8515e-03 eta: 2 days, 19:47:12 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 4.6950 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4022 loss: 3.4022 2022/07/26 23:35:15 - mmengine - INFO - Epoch(train) [15][3640/3757] lr: 9.8515e-03 eta: 2 days, 19:47:04 time: 0.3946 data_time: 0.0170 memory: 17007 grad_norm: 4.6427 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2810 loss: 3.2810 2022/07/26 23:35:22 - mmengine - INFO - Epoch(train) [15][3660/3757] lr: 9.8515e-03 eta: 2 days, 19:46:55 time: 0.3904 data_time: 0.0157 memory: 17007 grad_norm: 4.5813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3961 loss: 3.3961 2022/07/26 23:35:30 - mmengine - INFO - Epoch(train) [15][3680/3757] lr: 9.8515e-03 eta: 2 days, 19:46:48 time: 0.3962 data_time: 0.0168 memory: 17007 grad_norm: 4.7698 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4062 loss: 3.4062 2022/07/26 23:35:38 - mmengine - INFO - Epoch(train) [15][3700/3757] lr: 9.8515e-03 eta: 2 days, 19:46:40 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 4.5492 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1513 loss: 3.1513 2022/07/26 23:35:46 - mmengine - INFO - Epoch(train) [15][3720/3757] lr: 9.8515e-03 eta: 2 days, 19:46:32 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 4.6458 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9785 loss: 2.9785 2022/07/26 23:35:54 - mmengine - INFO - Epoch(train) [15][3740/3757] lr: 9.8515e-03 eta: 2 days, 19:46:23 time: 0.3919 data_time: 0.0138 memory: 17007 grad_norm: 4.5460 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.4641 loss: 3.4641 2022/07/26 23:36:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:36:01 - mmengine - INFO - Epoch(train) [15][3757/3757] lr: 9.8515e-03 eta: 2 days, 19:46:23 time: 0.4068 data_time: 0.0180 memory: 17007 grad_norm: 4.6368 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 3.3952 loss: 3.3952 2022/07/26 23:36:01 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/07/26 23:36:12 - mmengine - INFO - Epoch(train) [16][20/3757] lr: 9.8296e-03 eta: 2 days, 19:45:07 time: 0.4456 data_time: 0.0673 memory: 17007 grad_norm: 4.5863 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4926 loss: 3.4926 2022/07/26 23:36:20 - mmengine - INFO - Epoch(train) [16][40/3757] lr: 9.8296e-03 eta: 2 days, 19:44:59 time: 0.3947 data_time: 0.0176 memory: 17007 grad_norm: 4.7859 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0441 loss: 3.0441 2022/07/26 23:36:28 - mmengine - INFO - Epoch(train) [16][60/3757] lr: 9.8296e-03 eta: 2 days, 19:44:52 time: 0.3951 data_time: 0.0152 memory: 17007 grad_norm: 4.6973 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0912 loss: 3.0912 2022/07/26 23:36:36 - mmengine - INFO - Epoch(train) [16][80/3757] lr: 9.8296e-03 eta: 2 days, 19:44:43 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 4.6652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2117 loss: 3.2117 2022/07/26 23:36:43 - mmengine - INFO - Epoch(train) [16][100/3757] lr: 9.8296e-03 eta: 2 days, 19:44:37 time: 0.3980 data_time: 0.0146 memory: 17007 grad_norm: 4.8361 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3722 loss: 3.3722 2022/07/26 23:36:51 - mmengine - INFO - Epoch(train) [16][120/3757] lr: 9.8296e-03 eta: 2 days, 19:44:28 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 4.7941 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.5131 loss: 3.5131 2022/07/26 23:36:59 - mmengine - INFO - Epoch(train) [16][140/3757] lr: 9.8296e-03 eta: 2 days, 19:44:20 time: 0.3911 data_time: 0.0138 memory: 17007 grad_norm: 4.6720 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3125 loss: 3.3125 2022/07/26 23:37:07 - mmengine - INFO - Epoch(train) [16][160/3757] lr: 9.8296e-03 eta: 2 days, 19:44:12 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 4.5392 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1094 loss: 3.1094 2022/07/26 23:37:15 - mmengine - INFO - Epoch(train) [16][180/3757] lr: 9.8296e-03 eta: 2 days, 19:44:04 time: 0.3916 data_time: 0.0149 memory: 17007 grad_norm: 4.9187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2388 loss: 3.2388 2022/07/26 23:37:23 - mmengine - INFO - Epoch(train) [16][200/3757] lr: 9.8296e-03 eta: 2 days, 19:43:56 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 4.8290 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4338 loss: 3.4338 2022/07/26 23:37:31 - mmengine - INFO - Epoch(train) [16][220/3757] lr: 9.8296e-03 eta: 2 days, 19:43:48 time: 0.3924 data_time: 0.0142 memory: 17007 grad_norm: 4.7488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1795 loss: 3.1795 2022/07/26 23:37:38 - mmengine - INFO - Epoch(train) [16][240/3757] lr: 9.8296e-03 eta: 2 days, 19:43:39 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 4.6251 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3758 loss: 3.3758 2022/07/26 23:37:46 - mmengine - INFO - Epoch(train) [16][260/3757] lr: 9.8296e-03 eta: 2 days, 19:43:31 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 4.6053 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.6192 loss: 3.6192 2022/07/26 23:37:54 - mmengine - INFO - Epoch(train) [16][280/3757] lr: 9.8296e-03 eta: 2 days, 19:43:23 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 4.4770 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0831 loss: 3.0831 2022/07/26 23:38:02 - mmengine - INFO - Epoch(train) [16][300/3757] lr: 9.8296e-03 eta: 2 days, 19:43:17 time: 0.4008 data_time: 0.0162 memory: 17007 grad_norm: 4.6872 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9484 loss: 2.9484 2022/07/26 23:38:10 - mmengine - INFO - Epoch(train) [16][320/3757] lr: 9.8296e-03 eta: 2 days, 19:43:08 time: 0.3912 data_time: 0.0159 memory: 17007 grad_norm: 4.8638 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0355 loss: 3.0355 2022/07/26 23:38:18 - mmengine - INFO - Epoch(train) [16][340/3757] lr: 9.8296e-03 eta: 2 days, 19:43:00 time: 0.3907 data_time: 0.0152 memory: 17007 grad_norm: 4.6882 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2057 loss: 3.2057 2022/07/26 23:38:26 - mmengine - INFO - Epoch(train) [16][360/3757] lr: 9.8296e-03 eta: 2 days, 19:42:52 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 4.8093 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1650 loss: 3.1650 2022/07/26 23:38:34 - mmengine - INFO - Epoch(train) [16][380/3757] lr: 9.8296e-03 eta: 2 days, 19:42:44 time: 0.3929 data_time: 0.0163 memory: 17007 grad_norm: 4.5339 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3033 loss: 3.3033 2022/07/26 23:38:41 - mmengine - INFO - Epoch(train) [16][400/3757] lr: 9.8296e-03 eta: 2 days, 19:42:37 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 4.7669 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3994 loss: 3.3994 2022/07/26 23:38:49 - mmengine - INFO - Epoch(train) [16][420/3757] lr: 9.8296e-03 eta: 2 days, 19:42:28 time: 0.3901 data_time: 0.0147 memory: 17007 grad_norm: 4.5870 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1988 loss: 3.1988 2022/07/26 23:38:57 - mmengine - INFO - Epoch(train) [16][440/3757] lr: 9.8296e-03 eta: 2 days, 19:42:20 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 4.8077 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4466 loss: 3.4466 2022/07/26 23:39:05 - mmengine - INFO - Epoch(train) [16][460/3757] lr: 9.8296e-03 eta: 2 days, 19:42:12 time: 0.3917 data_time: 0.0149 memory: 17007 grad_norm: 4.7207 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2425 loss: 3.2425 2022/07/26 23:39:13 - mmengine - INFO - Epoch(train) [16][480/3757] lr: 9.8296e-03 eta: 2 days, 19:42:06 time: 0.3992 data_time: 0.0167 memory: 17007 grad_norm: 4.6402 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1071 loss: 3.1071 2022/07/26 23:39:21 - mmengine - INFO - Epoch(train) [16][500/3757] lr: 9.8296e-03 eta: 2 days, 19:41:57 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 4.7283 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2970 loss: 3.2970 2022/07/26 23:39:29 - mmengine - INFO - Epoch(train) [16][520/3757] lr: 9.8296e-03 eta: 2 days, 19:41:49 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 4.7436 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1124 loss: 3.1124 2022/07/26 23:39:36 - mmengine - INFO - Epoch(train) [16][540/3757] lr: 9.8296e-03 eta: 2 days, 19:41:40 time: 0.3902 data_time: 0.0149 memory: 17007 grad_norm: 4.8161 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4437 loss: 3.4437 2022/07/26 23:39:44 - mmengine - INFO - Epoch(train) [16][560/3757] lr: 9.8296e-03 eta: 2 days, 19:41:33 time: 0.3945 data_time: 0.0175 memory: 17007 grad_norm: 4.7308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.1286 loss: 3.1286 2022/07/26 23:39:52 - mmengine - INFO - Epoch(train) [16][580/3757] lr: 9.8296e-03 eta: 2 days, 19:41:25 time: 0.3961 data_time: 0.0141 memory: 17007 grad_norm: 4.7806 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3462 loss: 3.3462 2022/07/26 23:40:00 - mmengine - INFO - Epoch(train) [16][600/3757] lr: 9.8296e-03 eta: 2 days, 19:41:17 time: 0.3901 data_time: 0.0148 memory: 17007 grad_norm: 4.7093 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5093 loss: 3.5093 2022/07/26 23:40:08 - mmengine - INFO - Epoch(train) [16][620/3757] lr: 9.8296e-03 eta: 2 days, 19:41:09 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 4.5036 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4688 loss: 3.4688 2022/07/26 23:40:16 - mmengine - INFO - Epoch(train) [16][640/3757] lr: 9.8296e-03 eta: 2 days, 19:41:01 time: 0.3921 data_time: 0.0166 memory: 17007 grad_norm: 4.7619 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3742 loss: 3.3742 2022/07/26 23:40:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:40:24 - mmengine - INFO - Epoch(train) [16][660/3757] lr: 9.8296e-03 eta: 2 days, 19:40:52 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 4.5077 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3661 loss: 3.3661 2022/07/26 23:40:31 - mmengine - INFO - Epoch(train) [16][680/3757] lr: 9.8296e-03 eta: 2 days, 19:40:44 time: 0.3919 data_time: 0.0169 memory: 17007 grad_norm: 4.5171 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9510 loss: 2.9510 2022/07/26 23:40:39 - mmengine - INFO - Epoch(train) [16][700/3757] lr: 9.8296e-03 eta: 2 days, 19:40:36 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 4.6522 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0965 loss: 3.0965 2022/07/26 23:40:47 - mmengine - INFO - Epoch(train) [16][720/3757] lr: 9.8296e-03 eta: 2 days, 19:40:28 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 4.7421 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2636 loss: 3.2636 2022/07/26 23:40:55 - mmengine - INFO - Epoch(train) [16][740/3757] lr: 9.8296e-03 eta: 2 days, 19:40:21 time: 0.3955 data_time: 0.0144 memory: 17007 grad_norm: 4.7430 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4772 loss: 3.4772 2022/07/26 23:41:03 - mmengine - INFO - Epoch(train) [16][760/3757] lr: 9.8296e-03 eta: 2 days, 19:40:13 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 4.6863 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2923 loss: 3.2923 2022/07/26 23:41:11 - mmengine - INFO - Epoch(train) [16][780/3757] lr: 9.8296e-03 eta: 2 days, 19:40:05 time: 0.3920 data_time: 0.0137 memory: 17007 grad_norm: 4.9236 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1931 loss: 3.1931 2022/07/26 23:41:19 - mmengine - INFO - Epoch(train) [16][800/3757] lr: 9.8296e-03 eta: 2 days, 19:39:56 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 4.7850 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4430 loss: 3.4430 2022/07/26 23:41:26 - mmengine - INFO - Epoch(train) [16][820/3757] lr: 9.8296e-03 eta: 2 days, 19:39:48 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 4.5621 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3924 loss: 3.3924 2022/07/26 23:41:34 - mmengine - INFO - Epoch(train) [16][840/3757] lr: 9.8296e-03 eta: 2 days, 19:39:40 time: 0.3910 data_time: 0.0159 memory: 17007 grad_norm: 4.5339 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4365 loss: 3.4365 2022/07/26 23:41:42 - mmengine - INFO - Epoch(train) [16][860/3757] lr: 9.8296e-03 eta: 2 days, 19:39:32 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 4.5253 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3522 loss: 3.3522 2022/07/26 23:41:50 - mmengine - INFO - Epoch(train) [16][880/3757] lr: 9.8296e-03 eta: 2 days, 19:39:24 time: 0.3926 data_time: 0.0171 memory: 17007 grad_norm: 4.7864 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0883 loss: 3.0883 2022/07/26 23:41:58 - mmengine - INFO - Epoch(train) [16][900/3757] lr: 9.8296e-03 eta: 2 days, 19:39:19 time: 0.4043 data_time: 0.0181 memory: 17007 grad_norm: 4.5556 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6419 loss: 3.6419 2022/07/26 23:42:06 - mmengine - INFO - Epoch(train) [16][920/3757] lr: 9.8296e-03 eta: 2 days, 19:39:11 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 4.7109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0646 loss: 3.0646 2022/07/26 23:42:14 - mmengine - INFO - Epoch(train) [16][940/3757] lr: 9.8296e-03 eta: 2 days, 19:39:02 time: 0.3910 data_time: 0.0140 memory: 17007 grad_norm: 4.7663 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1208 loss: 3.1208 2022/07/26 23:42:22 - mmengine - INFO - Epoch(train) [16][960/3757] lr: 9.8296e-03 eta: 2 days, 19:38:54 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 4.8094 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3066 loss: 3.3066 2022/07/26 23:42:29 - mmengine - INFO - Epoch(train) [16][980/3757] lr: 9.8296e-03 eta: 2 days, 19:38:46 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 4.6953 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5323 loss: 3.5323 2022/07/26 23:42:37 - mmengine - INFO - Epoch(train) [16][1000/3757] lr: 9.8296e-03 eta: 2 days, 19:38:38 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 4.6190 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1216 loss: 3.1216 2022/07/26 23:42:45 - mmengine - INFO - Epoch(train) [16][1020/3757] lr: 9.8296e-03 eta: 2 days, 19:38:29 time: 0.3904 data_time: 0.0152 memory: 17007 grad_norm: 4.7734 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0909 loss: 3.0909 2022/07/26 23:42:53 - mmengine - INFO - Epoch(train) [16][1040/3757] lr: 9.8296e-03 eta: 2 days, 19:38:22 time: 0.3945 data_time: 0.0173 memory: 17007 grad_norm: 4.6705 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2355 loss: 3.2355 2022/07/26 23:43:01 - mmengine - INFO - Epoch(train) [16][1060/3757] lr: 9.8296e-03 eta: 2 days, 19:38:14 time: 0.3919 data_time: 0.0143 memory: 17007 grad_norm: 4.8039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3277 loss: 3.3277 2022/07/26 23:43:09 - mmengine - INFO - Epoch(train) [16][1080/3757] lr: 9.8296e-03 eta: 2 days, 19:38:05 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 4.6473 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3230 loss: 3.3230 2022/07/26 23:43:17 - mmengine - INFO - Epoch(train) [16][1100/3757] lr: 9.8296e-03 eta: 2 days, 19:37:58 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 4.6837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2801 loss: 3.2801 2022/07/26 23:43:24 - mmengine - INFO - Epoch(train) [16][1120/3757] lr: 9.8296e-03 eta: 2 days, 19:37:50 time: 0.3934 data_time: 0.0171 memory: 17007 grad_norm: 4.6273 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1073 loss: 3.1073 2022/07/26 23:43:32 - mmengine - INFO - Epoch(train) [16][1140/3757] lr: 9.8296e-03 eta: 2 days, 19:37:43 time: 0.3998 data_time: 0.0151 memory: 17007 grad_norm: 4.8074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2670 loss: 3.2670 2022/07/26 23:43:40 - mmengine - INFO - Epoch(train) [16][1160/3757] lr: 9.8296e-03 eta: 2 days, 19:37:35 time: 0.3925 data_time: 0.0167 memory: 17007 grad_norm: 4.7949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4373 loss: 3.4373 2022/07/26 23:43:48 - mmengine - INFO - Epoch(train) [16][1180/3757] lr: 9.8296e-03 eta: 2 days, 19:37:27 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 4.5740 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4363 loss: 3.4363 2022/07/26 23:43:56 - mmengine - INFO - Epoch(train) [16][1200/3757] lr: 9.8296e-03 eta: 2 days, 19:37:19 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 4.6046 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4220 loss: 3.4220 2022/07/26 23:44:04 - mmengine - INFO - Epoch(train) [16][1220/3757] lr: 9.8296e-03 eta: 2 days, 19:37:11 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 4.5775 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.1185 loss: 3.1185 2022/07/26 23:44:12 - mmengine - INFO - Epoch(train) [16][1240/3757] lr: 9.8296e-03 eta: 2 days, 19:37:05 time: 0.4003 data_time: 0.0171 memory: 17007 grad_norm: 4.6697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9995 loss: 2.9995 2022/07/26 23:44:20 - mmengine - INFO - Epoch(train) [16][1260/3757] lr: 9.8296e-03 eta: 2 days, 19:36:57 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 4.7339 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1606 loss: 3.1606 2022/07/26 23:44:28 - mmengine - INFO - Epoch(train) [16][1280/3757] lr: 9.8296e-03 eta: 2 days, 19:36:49 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 4.7669 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.2870 loss: 3.2870 2022/07/26 23:44:35 - mmengine - INFO - Epoch(train) [16][1300/3757] lr: 9.8296e-03 eta: 2 days, 19:36:41 time: 0.3937 data_time: 0.0164 memory: 17007 grad_norm: 4.6774 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3340 loss: 3.3340 2022/07/26 23:44:43 - mmengine - INFO - Epoch(train) [16][1320/3757] lr: 9.8296e-03 eta: 2 days, 19:36:33 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 4.8011 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2410 loss: 3.2410 2022/07/26 23:44:51 - mmengine - INFO - Epoch(train) [16][1340/3757] lr: 9.8296e-03 eta: 2 days, 19:36:27 time: 0.4018 data_time: 0.0158 memory: 17007 grad_norm: 4.8227 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2264 loss: 3.2264 2022/07/26 23:44:59 - mmengine - INFO - Epoch(train) [16][1360/3757] lr: 9.8296e-03 eta: 2 days, 19:36:18 time: 0.3907 data_time: 0.0158 memory: 17007 grad_norm: 4.6901 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0953 loss: 3.0953 2022/07/26 23:45:07 - mmengine - INFO - Epoch(train) [16][1380/3757] lr: 9.8296e-03 eta: 2 days, 19:36:10 time: 0.3921 data_time: 0.0164 memory: 17007 grad_norm: 4.7104 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4313 loss: 3.4313 2022/07/26 23:45:15 - mmengine - INFO - Epoch(train) [16][1400/3757] lr: 9.8296e-03 eta: 2 days, 19:36:02 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 4.6218 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0096 loss: 3.0096 2022/07/26 23:45:23 - mmengine - INFO - Epoch(train) [16][1420/3757] lr: 9.8296e-03 eta: 2 days, 19:35:54 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 4.7888 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0949 loss: 3.0949 2022/07/26 23:45:31 - mmengine - INFO - Epoch(train) [16][1440/3757] lr: 9.8296e-03 eta: 2 days, 19:35:45 time: 0.3896 data_time: 0.0153 memory: 17007 grad_norm: 4.6129 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2594 loss: 3.2594 2022/07/26 23:45:38 - mmengine - INFO - Epoch(train) [16][1460/3757] lr: 9.8296e-03 eta: 2 days, 19:35:38 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 4.8471 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2869 loss: 3.2869 2022/07/26 23:45:46 - mmengine - INFO - Epoch(train) [16][1480/3757] lr: 9.8296e-03 eta: 2 days, 19:35:29 time: 0.3923 data_time: 0.0169 memory: 17007 grad_norm: 4.6308 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3726 loss: 3.3726 2022/07/26 23:45:54 - mmengine - INFO - Epoch(train) [16][1500/3757] lr: 9.8296e-03 eta: 2 days, 19:35:22 time: 0.3934 data_time: 0.0162 memory: 17007 grad_norm: 4.7599 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1939 loss: 3.1939 2022/07/26 23:46:02 - mmengine - INFO - Epoch(train) [16][1520/3757] lr: 9.8296e-03 eta: 2 days, 19:35:14 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 4.7103 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.3584 loss: 3.3584 2022/07/26 23:46:10 - mmengine - INFO - Epoch(train) [16][1540/3757] lr: 9.8296e-03 eta: 2 days, 19:35:05 time: 0.3906 data_time: 0.0151 memory: 17007 grad_norm: 4.6943 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4903 loss: 3.4903 2022/07/26 23:46:18 - mmengine - INFO - Epoch(train) [16][1560/3757] lr: 9.8296e-03 eta: 2 days, 19:34:58 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 4.6821 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2171 loss: 3.2171 2022/07/26 23:46:26 - mmengine - INFO - Epoch(train) [16][1580/3757] lr: 9.8296e-03 eta: 2 days, 19:34:49 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 4.7646 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1965 loss: 3.1965 2022/07/26 23:46:33 - mmengine - INFO - Epoch(train) [16][1600/3757] lr: 9.8296e-03 eta: 2 days, 19:34:41 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 5.3251 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1198 loss: 3.1198 2022/07/26 23:46:41 - mmengine - INFO - Epoch(train) [16][1620/3757] lr: 9.8296e-03 eta: 2 days, 19:34:33 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 4.8423 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4731 loss: 3.4731 2022/07/26 23:46:49 - mmengine - INFO - Epoch(train) [16][1640/3757] lr: 9.8296e-03 eta: 2 days, 19:34:25 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 4.7130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9857 loss: 2.9857 2022/07/26 23:46:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:46:57 - mmengine - INFO - Epoch(train) [16][1660/3757] lr: 9.8296e-03 eta: 2 days, 19:34:17 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 4.7707 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6477 loss: 3.6477 2022/07/26 23:47:05 - mmengine - INFO - Epoch(train) [16][1680/3757] lr: 9.8296e-03 eta: 2 days, 19:34:09 time: 0.3930 data_time: 0.0172 memory: 17007 grad_norm: 4.6966 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3615 loss: 3.3615 2022/07/26 23:47:13 - mmengine - INFO - Epoch(train) [16][1700/3757] lr: 9.8296e-03 eta: 2 days, 19:34:02 time: 0.3985 data_time: 0.0156 memory: 17007 grad_norm: 4.6244 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0555 loss: 3.0555 2022/07/26 23:47:21 - mmengine - INFO - Epoch(train) [16][1720/3757] lr: 9.8296e-03 eta: 2 days, 19:33:54 time: 0.3906 data_time: 0.0153 memory: 17007 grad_norm: 4.7734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3284 loss: 3.3284 2022/07/26 23:47:28 - mmengine - INFO - Epoch(train) [16][1740/3757] lr: 9.8296e-03 eta: 2 days, 19:33:46 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 4.6200 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2231 loss: 3.2231 2022/07/26 23:47:36 - mmengine - INFO - Epoch(train) [16][1760/3757] lr: 9.8296e-03 eta: 2 days, 19:33:38 time: 0.3934 data_time: 0.0162 memory: 17007 grad_norm: 4.6465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8437 loss: 2.8437 2022/07/26 23:47:44 - mmengine - INFO - Epoch(train) [16][1780/3757] lr: 9.8296e-03 eta: 2 days, 19:33:30 time: 0.3937 data_time: 0.0152 memory: 17007 grad_norm: 4.6391 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.3148 loss: 3.3148 2022/07/26 23:47:52 - mmengine - INFO - Epoch(train) [16][1800/3757] lr: 9.8296e-03 eta: 2 days, 19:33:23 time: 0.3941 data_time: 0.0167 memory: 17007 grad_norm: 4.5168 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1635 loss: 3.1635 2022/07/26 23:48:00 - mmengine - INFO - Epoch(train) [16][1820/3757] lr: 9.8296e-03 eta: 2 days, 19:33:14 time: 0.3907 data_time: 0.0149 memory: 17007 grad_norm: 4.5352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0798 loss: 3.0798 2022/07/26 23:48:08 - mmengine - INFO - Epoch(train) [16][1840/3757] lr: 9.8296e-03 eta: 2 days, 19:33:07 time: 0.3987 data_time: 0.0171 memory: 17007 grad_norm: 4.8064 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4198 loss: 3.4198 2022/07/26 23:48:16 - mmengine - INFO - Epoch(train) [16][1860/3757] lr: 9.8296e-03 eta: 2 days, 19:32:59 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 4.6260 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1132 loss: 3.1132 2022/07/26 23:48:24 - mmengine - INFO - Epoch(train) [16][1880/3757] lr: 9.8296e-03 eta: 2 days, 19:32:55 time: 0.4094 data_time: 0.0169 memory: 17007 grad_norm: 4.5494 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2038 loss: 3.2038 2022/07/26 23:48:32 - mmengine - INFO - Epoch(train) [16][1900/3757] lr: 9.8296e-03 eta: 2 days, 19:32:47 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 4.8713 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3643 loss: 3.3643 2022/07/26 23:48:40 - mmengine - INFO - Epoch(train) [16][1920/3757] lr: 9.8296e-03 eta: 2 days, 19:32:38 time: 0.3907 data_time: 0.0154 memory: 17007 grad_norm: 4.6802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3121 loss: 3.3121 2022/07/26 23:48:48 - mmengine - INFO - Epoch(train) [16][1940/3757] lr: 9.8296e-03 eta: 2 days, 19:32:33 time: 0.4077 data_time: 0.0143 memory: 17007 grad_norm: 4.7303 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9554 loss: 2.9554 2022/07/26 23:48:56 - mmengine - INFO - Epoch(train) [16][1960/3757] lr: 9.8296e-03 eta: 2 days, 19:32:25 time: 0.3923 data_time: 0.0165 memory: 17007 grad_norm: 4.6988 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2075 loss: 3.2075 2022/07/26 23:49:03 - mmengine - INFO - Epoch(train) [16][1980/3757] lr: 9.8296e-03 eta: 2 days, 19:32:17 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 4.5781 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.3958 loss: 3.3958 2022/07/26 23:49:11 - mmengine - INFO - Epoch(train) [16][2000/3757] lr: 9.8296e-03 eta: 2 days, 19:32:09 time: 0.3898 data_time: 0.0149 memory: 17007 grad_norm: 4.5740 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1502 loss: 3.1502 2022/07/26 23:49:19 - mmengine - INFO - Epoch(train) [16][2020/3757] lr: 9.8296e-03 eta: 2 days, 19:32:00 time: 0.3902 data_time: 0.0148 memory: 17007 grad_norm: 4.5320 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1710 loss: 3.1710 2022/07/26 23:49:27 - mmengine - INFO - Epoch(train) [16][2040/3757] lr: 9.8296e-03 eta: 2 days, 19:31:53 time: 0.3975 data_time: 0.0164 memory: 17007 grad_norm: 4.8362 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.4534 loss: 3.4534 2022/07/26 23:49:35 - mmengine - INFO - Epoch(train) [16][2060/3757] lr: 9.8296e-03 eta: 2 days, 19:31:45 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 4.6848 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0793 loss: 3.0793 2022/07/26 23:49:43 - mmengine - INFO - Epoch(train) [16][2080/3757] lr: 9.8296e-03 eta: 2 days, 19:31:36 time: 0.3922 data_time: 0.0159 memory: 17007 grad_norm: 4.7148 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4548 loss: 3.4548 2022/07/26 23:49:50 - mmengine - INFO - Epoch(train) [16][2100/3757] lr: 9.8296e-03 eta: 2 days, 19:31:28 time: 0.3908 data_time: 0.0155 memory: 17007 grad_norm: 4.6566 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3724 loss: 3.3724 2022/07/26 23:49:58 - mmengine - INFO - Epoch(train) [16][2120/3757] lr: 9.8296e-03 eta: 2 days, 19:31:20 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 4.6655 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3543 loss: 3.3543 2022/07/26 23:50:06 - mmengine - INFO - Epoch(train) [16][2140/3757] lr: 9.8296e-03 eta: 2 days, 19:31:13 time: 0.3988 data_time: 0.0156 memory: 17007 grad_norm: 4.7245 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3746 loss: 3.3746 2022/07/26 23:50:14 - mmengine - INFO - Epoch(train) [16][2160/3757] lr: 9.8296e-03 eta: 2 days, 19:31:05 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 4.7512 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1730 loss: 3.1730 2022/07/26 23:50:22 - mmengine - INFO - Epoch(train) [16][2180/3757] lr: 9.8296e-03 eta: 2 days, 19:30:57 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 4.8829 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3600 loss: 3.3600 2022/07/26 23:50:30 - mmengine - INFO - Epoch(train) [16][2200/3757] lr: 9.8296e-03 eta: 2 days, 19:30:49 time: 0.3906 data_time: 0.0160 memory: 17007 grad_norm: 4.6390 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1900 loss: 3.1900 2022/07/26 23:50:38 - mmengine - INFO - Epoch(train) [16][2220/3757] lr: 9.8296e-03 eta: 2 days, 19:30:40 time: 0.3907 data_time: 0.0156 memory: 17007 grad_norm: 4.7326 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0760 loss: 3.0760 2022/07/26 23:50:46 - mmengine - INFO - Epoch(train) [16][2240/3757] lr: 9.8296e-03 eta: 2 days, 19:30:32 time: 0.3931 data_time: 0.0165 memory: 17007 grad_norm: 4.7574 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4201 loss: 3.4201 2022/07/26 23:50:53 - mmengine - INFO - Epoch(train) [16][2260/3757] lr: 9.8296e-03 eta: 2 days, 19:30:24 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 4.6763 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1857 loss: 3.1857 2022/07/26 23:51:01 - mmengine - INFO - Epoch(train) [16][2280/3757] lr: 9.8296e-03 eta: 2 days, 19:30:16 time: 0.3922 data_time: 0.0165 memory: 17007 grad_norm: 4.6515 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2410 loss: 3.2410 2022/07/26 23:51:09 - mmengine - INFO - Epoch(train) [16][2300/3757] lr: 9.8296e-03 eta: 2 days, 19:30:08 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 4.6031 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.7304 loss: 3.7304 2022/07/26 23:51:17 - mmengine - INFO - Epoch(train) [16][2320/3757] lr: 9.8296e-03 eta: 2 days, 19:30:00 time: 0.3927 data_time: 0.0163 memory: 17007 grad_norm: 4.9479 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3941 loss: 3.3941 2022/07/26 23:51:25 - mmengine - INFO - Epoch(train) [16][2340/3757] lr: 9.8296e-03 eta: 2 days, 19:29:52 time: 0.3921 data_time: 0.0163 memory: 17007 grad_norm: 4.6128 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6626 loss: 3.6626 2022/07/26 23:51:33 - mmengine - INFO - Epoch(train) [16][2360/3757] lr: 9.8296e-03 eta: 2 days, 19:29:44 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 4.4820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0072 loss: 3.0072 2022/07/26 23:51:41 - mmengine - INFO - Epoch(train) [16][2380/3757] lr: 9.8296e-03 eta: 2 days, 19:29:36 time: 0.3915 data_time: 0.0143 memory: 17007 grad_norm: 4.6490 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3715 loss: 3.3715 2022/07/26 23:51:48 - mmengine - INFO - Epoch(train) [16][2400/3757] lr: 9.8296e-03 eta: 2 days, 19:29:29 time: 0.3957 data_time: 0.0147 memory: 17007 grad_norm: 4.7203 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3777 loss: 3.3777 2022/07/26 23:51:56 - mmengine - INFO - Epoch(train) [16][2420/3757] lr: 9.8296e-03 eta: 2 days, 19:29:20 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 4.5937 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1108 loss: 3.1108 2022/07/26 23:52:04 - mmengine - INFO - Epoch(train) [16][2440/3757] lr: 9.8296e-03 eta: 2 days, 19:29:12 time: 0.3929 data_time: 0.0164 memory: 17007 grad_norm: 4.5836 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1928 loss: 3.1928 2022/07/26 23:52:12 - mmengine - INFO - Epoch(train) [16][2460/3757] lr: 9.8296e-03 eta: 2 days, 19:29:04 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 4.6218 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1194 loss: 3.1194 2022/07/26 23:52:20 - mmengine - INFO - Epoch(train) [16][2480/3757] lr: 9.8296e-03 eta: 2 days, 19:28:56 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 4.4672 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1218 loss: 3.1218 2022/07/26 23:52:28 - mmengine - INFO - Epoch(train) [16][2500/3757] lr: 9.8296e-03 eta: 2 days, 19:28:48 time: 0.3912 data_time: 0.0143 memory: 17007 grad_norm: 4.6866 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5564 loss: 3.5564 2022/07/26 23:52:35 - mmengine - INFO - Epoch(train) [16][2520/3757] lr: 9.8296e-03 eta: 2 days, 19:28:40 time: 0.3924 data_time: 0.0147 memory: 17007 grad_norm: 4.8215 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3685 loss: 3.3685 2022/07/26 23:52:43 - mmengine - INFO - Epoch(train) [16][2540/3757] lr: 9.8296e-03 eta: 2 days, 19:28:33 time: 0.3981 data_time: 0.0146 memory: 17007 grad_norm: 4.6825 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3744 loss: 3.3744 2022/07/26 23:52:51 - mmengine - INFO - Epoch(train) [16][2560/3757] lr: 9.8296e-03 eta: 2 days, 19:28:25 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 4.5554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9496 loss: 2.9496 2022/07/26 23:52:59 - mmengine - INFO - Epoch(train) [16][2580/3757] lr: 9.8296e-03 eta: 2 days, 19:28:17 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 4.5740 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3142 loss: 3.3142 2022/07/26 23:53:07 - mmengine - INFO - Epoch(train) [16][2600/3757] lr: 9.8296e-03 eta: 2 days, 19:28:09 time: 0.3960 data_time: 0.0165 memory: 17007 grad_norm: 4.5131 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1829 loss: 3.1829 2022/07/26 23:53:15 - mmengine - INFO - Epoch(train) [16][2620/3757] lr: 9.8296e-03 eta: 2 days, 19:28:02 time: 0.3944 data_time: 0.0162 memory: 17007 grad_norm: 4.7394 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1580 loss: 3.1580 2022/07/26 23:53:23 - mmengine - INFO - Epoch(train) [16][2640/3757] lr: 9.8296e-03 eta: 2 days, 19:27:55 time: 0.4005 data_time: 0.0167 memory: 17007 grad_norm: 4.5345 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0707 loss: 3.0707 2022/07/26 23:53:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/26 23:53:31 - mmengine - INFO - Epoch(train) [16][2660/3757] lr: 9.8296e-03 eta: 2 days, 19:27:47 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 4.5733 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4410 loss: 3.4410 2022/07/26 23:53:39 - mmengine - INFO - Epoch(train) [16][2680/3757] lr: 9.8296e-03 eta: 2 days, 19:27:39 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 4.6448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1892 loss: 3.1892 2022/07/26 23:53:46 - mmengine - INFO - Epoch(train) [16][2700/3757] lr: 9.8296e-03 eta: 2 days, 19:27:30 time: 0.3907 data_time: 0.0149 memory: 17007 grad_norm: 4.6408 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2550 loss: 3.2550 2022/07/26 23:53:54 - mmengine - INFO - Epoch(train) [16][2720/3757] lr: 9.8296e-03 eta: 2 days, 19:27:22 time: 0.3920 data_time: 0.0173 memory: 17007 grad_norm: 4.6730 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3763 loss: 3.3763 2022/07/26 23:54:02 - mmengine - INFO - Epoch(train) [16][2740/3757] lr: 9.8296e-03 eta: 2 days, 19:27:15 time: 0.3982 data_time: 0.0152 memory: 17007 grad_norm: 4.5054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1757 loss: 3.1757 2022/07/26 23:54:10 - mmengine - INFO - Epoch(train) [16][2760/3757] lr: 9.8296e-03 eta: 2 days, 19:27:07 time: 0.3914 data_time: 0.0162 memory: 17007 grad_norm: 4.7370 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2341 loss: 3.2341 2022/07/26 23:54:18 - mmengine - INFO - Epoch(train) [16][2780/3757] lr: 9.8296e-03 eta: 2 days, 19:26:59 time: 0.3913 data_time: 0.0150 memory: 17007 grad_norm: 4.6546 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2256 loss: 3.2256 2022/07/26 23:54:26 - mmengine - INFO - Epoch(train) [16][2800/3757] lr: 9.8296e-03 eta: 2 days, 19:26:50 time: 0.3922 data_time: 0.0179 memory: 17007 grad_norm: 4.7097 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3608 loss: 3.3608 2022/07/26 23:54:34 - mmengine - INFO - Epoch(train) [16][2820/3757] lr: 9.8296e-03 eta: 2 days, 19:26:42 time: 0.3912 data_time: 0.0142 memory: 17007 grad_norm: 4.8765 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.5183 loss: 3.5183 2022/07/26 23:54:41 - mmengine - INFO - Epoch(train) [16][2840/3757] lr: 9.8296e-03 eta: 2 days, 19:26:34 time: 0.3906 data_time: 0.0167 memory: 17007 grad_norm: 4.6659 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2332 loss: 3.2332 2022/07/26 23:54:50 - mmengine - INFO - Epoch(train) [16][2860/3757] lr: 9.8296e-03 eta: 2 days, 19:26:29 time: 0.4101 data_time: 0.0146 memory: 17007 grad_norm: 4.5478 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2005 loss: 3.2005 2022/07/26 23:54:58 - mmengine - INFO - Epoch(train) [16][2880/3757] lr: 9.8296e-03 eta: 2 days, 19:26:22 time: 0.3956 data_time: 0.0172 memory: 17007 grad_norm: 4.6203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1745 loss: 3.1745 2022/07/26 23:55:05 - mmengine - INFO - Epoch(train) [16][2900/3757] lr: 9.8296e-03 eta: 2 days, 19:26:15 time: 0.3966 data_time: 0.0154 memory: 17007 grad_norm: 4.6776 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2752 loss: 3.2752 2022/07/26 23:55:13 - mmengine - INFO - Epoch(train) [16][2920/3757] lr: 9.8296e-03 eta: 2 days, 19:26:06 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 4.6648 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0951 loss: 3.0951 2022/07/26 23:55:21 - mmengine - INFO - Epoch(train) [16][2940/3757] lr: 9.8296e-03 eta: 2 days, 19:25:58 time: 0.3903 data_time: 0.0146 memory: 17007 grad_norm: 4.7102 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1582 loss: 3.1582 2022/07/26 23:55:29 - mmengine - INFO - Epoch(train) [16][2960/3757] lr: 9.8296e-03 eta: 2 days, 19:25:50 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 4.6657 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3041 loss: 3.3041 2022/07/26 23:55:37 - mmengine - INFO - Epoch(train) [16][2980/3757] lr: 9.8296e-03 eta: 2 days, 19:25:42 time: 0.3923 data_time: 0.0161 memory: 17007 grad_norm: 4.7209 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2703 loss: 3.2703 2022/07/26 23:55:45 - mmengine - INFO - Epoch(train) [16][3000/3757] lr: 9.8296e-03 eta: 2 days, 19:25:35 time: 0.3982 data_time: 0.0165 memory: 17007 grad_norm: 4.7134 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5134 loss: 3.5134 2022/07/26 23:55:53 - mmengine - INFO - Epoch(train) [16][3020/3757] lr: 9.8296e-03 eta: 2 days, 19:25:27 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 5.1270 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2303 loss: 3.2303 2022/07/26 23:56:00 - mmengine - INFO - Epoch(train) [16][3040/3757] lr: 9.8296e-03 eta: 2 days, 19:25:18 time: 0.3915 data_time: 0.0160 memory: 17007 grad_norm: 4.7475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3800 loss: 3.3800 2022/07/26 23:56:08 - mmengine - INFO - Epoch(train) [16][3060/3757] lr: 9.8296e-03 eta: 2 days, 19:25:10 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 4.6309 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2057 loss: 3.2057 2022/07/26 23:56:16 - mmengine - INFO - Epoch(train) [16][3080/3757] lr: 9.8296e-03 eta: 2 days, 19:25:02 time: 0.3931 data_time: 0.0169 memory: 17007 grad_norm: 4.7113 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2200 loss: 3.2200 2022/07/26 23:56:24 - mmengine - INFO - Epoch(train) [16][3100/3757] lr: 9.8296e-03 eta: 2 days, 19:24:54 time: 0.3920 data_time: 0.0167 memory: 17007 grad_norm: 4.4878 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2253 loss: 3.2253 2022/07/26 23:56:32 - mmengine - INFO - Epoch(train) [16][3120/3757] lr: 9.8296e-03 eta: 2 days, 19:24:45 time: 0.3901 data_time: 0.0157 memory: 17007 grad_norm: 4.6229 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1453 loss: 3.1453 2022/07/26 23:56:40 - mmengine - INFO - Epoch(train) [16][3140/3757] lr: 9.8296e-03 eta: 2 days, 19:24:37 time: 0.3915 data_time: 0.0162 memory: 17007 grad_norm: 4.6798 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3329 loss: 3.3329 2022/07/26 23:56:48 - mmengine - INFO - Epoch(train) [16][3160/3757] lr: 9.8296e-03 eta: 2 days, 19:24:31 time: 0.3997 data_time: 0.0167 memory: 17007 grad_norm: 4.6196 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6183 loss: 3.6183 2022/07/26 23:56:55 - mmengine - INFO - Epoch(train) [16][3180/3757] lr: 9.8296e-03 eta: 2 days, 19:24:22 time: 0.3911 data_time: 0.0152 memory: 17007 grad_norm: 4.6849 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1426 loss: 3.1426 2022/07/26 23:57:03 - mmengine - INFO - Epoch(train) [16][3200/3757] lr: 9.8296e-03 eta: 2 days, 19:24:14 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 4.6412 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2073 loss: 3.2073 2022/07/26 23:57:11 - mmengine - INFO - Epoch(train) [16][3220/3757] lr: 9.8296e-03 eta: 2 days, 19:24:06 time: 0.3903 data_time: 0.0147 memory: 17007 grad_norm: 4.5070 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2693 loss: 3.2693 2022/07/26 23:57:19 - mmengine - INFO - Epoch(train) [16][3240/3757] lr: 9.8296e-03 eta: 2 days, 19:23:58 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 4.5687 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9277 loss: 2.9277 2022/07/26 23:57:27 - mmengine - INFO - Epoch(train) [16][3260/3757] lr: 9.8296e-03 eta: 2 days, 19:23:49 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 4.4692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9776 loss: 2.9776 2022/07/26 23:57:35 - mmengine - INFO - Epoch(train) [16][3280/3757] lr: 9.8296e-03 eta: 2 days, 19:23:41 time: 0.3907 data_time: 0.0152 memory: 17007 grad_norm: 4.6421 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2647 loss: 3.2647 2022/07/26 23:57:43 - mmengine - INFO - Epoch(train) [16][3300/3757] lr: 9.8296e-03 eta: 2 days, 19:23:34 time: 0.3993 data_time: 0.0162 memory: 17007 grad_norm: 4.6924 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2499 loss: 3.2499 2022/07/26 23:57:50 - mmengine - INFO - Epoch(train) [16][3320/3757] lr: 9.8296e-03 eta: 2 days, 19:23:25 time: 0.3890 data_time: 0.0174 memory: 17007 grad_norm: 4.7585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1195 loss: 3.1195 2022/07/26 23:57:58 - mmengine - INFO - Epoch(train) [16][3340/3757] lr: 9.8296e-03 eta: 2 days, 19:23:18 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 4.8040 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4067 loss: 3.4067 2022/07/26 23:58:06 - mmengine - INFO - Epoch(train) [16][3360/3757] lr: 9.8296e-03 eta: 2 days, 19:23:10 time: 0.3930 data_time: 0.0175 memory: 17007 grad_norm: 4.6306 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2172 loss: 3.2172 2022/07/26 23:58:14 - mmengine - INFO - Epoch(train) [16][3380/3757] lr: 9.8296e-03 eta: 2 days, 19:23:01 time: 0.3921 data_time: 0.0150 memory: 17007 grad_norm: 4.5328 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0887 loss: 3.0887 2022/07/26 23:58:22 - mmengine - INFO - Epoch(train) [16][3400/3757] lr: 9.8296e-03 eta: 2 days, 19:22:53 time: 0.3925 data_time: 0.0166 memory: 17007 grad_norm: 4.5728 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.4037 loss: 3.4037 2022/07/26 23:58:30 - mmengine - INFO - Epoch(train) [16][3420/3757] lr: 9.8296e-03 eta: 2 days, 19:22:45 time: 0.3921 data_time: 0.0166 memory: 17007 grad_norm: 4.7072 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4223 loss: 3.4223 2022/07/26 23:58:37 - mmengine - INFO - Epoch(train) [16][3440/3757] lr: 9.8296e-03 eta: 2 days, 19:22:37 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 4.6223 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0671 loss: 3.0671 2022/07/26 23:58:46 - mmengine - INFO - Epoch(train) [16][3460/3757] lr: 9.8296e-03 eta: 2 days, 19:22:31 time: 0.4038 data_time: 0.0155 memory: 17007 grad_norm: 4.6907 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1060 loss: 3.1060 2022/07/26 23:58:53 - mmengine - INFO - Epoch(train) [16][3480/3757] lr: 9.8296e-03 eta: 2 days, 19:22:23 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 4.6240 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3656 loss: 3.3656 2022/07/26 23:59:01 - mmengine - INFO - Epoch(train) [16][3500/3757] lr: 9.8296e-03 eta: 2 days, 19:22:15 time: 0.3908 data_time: 0.0151 memory: 17007 grad_norm: 4.6396 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3374 loss: 3.3374 2022/07/26 23:59:09 - mmengine - INFO - Epoch(train) [16][3520/3757] lr: 9.8296e-03 eta: 2 days, 19:22:07 time: 0.3932 data_time: 0.0177 memory: 17007 grad_norm: 4.5947 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1388 loss: 3.1388 2022/07/26 23:59:17 - mmengine - INFO - Epoch(train) [16][3540/3757] lr: 9.8296e-03 eta: 2 days, 19:21:59 time: 0.3958 data_time: 0.0151 memory: 17007 grad_norm: 4.5615 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0162 loss: 3.0162 2022/07/26 23:59:25 - mmengine - INFO - Epoch(train) [16][3560/3757] lr: 9.8296e-03 eta: 2 days, 19:21:51 time: 0.3919 data_time: 0.0162 memory: 17007 grad_norm: 4.5323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1813 loss: 3.1813 2022/07/26 23:59:33 - mmengine - INFO - Epoch(train) [16][3580/3757] lr: 9.8296e-03 eta: 2 days, 19:21:47 time: 0.4124 data_time: 0.0147 memory: 17007 grad_norm: 4.5563 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0794 loss: 3.0794 2022/07/26 23:59:41 - mmengine - INFO - Epoch(train) [16][3600/3757] lr: 9.8296e-03 eta: 2 days, 19:21:39 time: 0.3910 data_time: 0.0148 memory: 17007 grad_norm: 4.6492 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.3274 loss: 3.3274 2022/07/26 23:59:49 - mmengine - INFO - Epoch(train) [16][3620/3757] lr: 9.8296e-03 eta: 2 days, 19:21:31 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 4.6093 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8300 loss: 2.8300 2022/07/26 23:59:57 - mmengine - INFO - Epoch(train) [16][3640/3757] lr: 9.8296e-03 eta: 2 days, 19:21:26 time: 0.4102 data_time: 0.0161 memory: 17007 grad_norm: 4.6152 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1859 loss: 3.1859 2022/07/26 23:59:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:00:08 - mmengine - INFO - Epoch(train) [16][3660/3757] lr: 9.8296e-03 eta: 2 days, 19:21:49 time: 0.5412 data_time: 0.0207 memory: 17007 grad_norm: 4.6388 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2600 loss: 3.2600 2022/07/27 00:00:16 - mmengine - INFO - Epoch(train) [16][3680/3757] lr: 9.8296e-03 eta: 2 days, 19:21:41 time: 0.3928 data_time: 0.0177 memory: 17007 grad_norm: 4.6910 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.4867 loss: 3.4867 2022/07/27 00:00:24 - mmengine - INFO - Epoch(train) [16][3700/3757] lr: 9.8296e-03 eta: 2 days, 19:21:35 time: 0.4065 data_time: 0.0140 memory: 17007 grad_norm: 4.7574 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6514 loss: 3.6514 2022/07/27 00:00:32 - mmengine - INFO - Epoch(train) [16][3720/3757] lr: 9.8296e-03 eta: 2 days, 19:21:27 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 4.6202 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4011 loss: 3.4011 2022/07/27 00:00:39 - mmengine - INFO - Epoch(train) [16][3740/3757] lr: 9.8296e-03 eta: 2 days, 19:21:19 time: 0.3912 data_time: 0.0143 memory: 17007 grad_norm: 4.7743 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1738 loss: 3.1738 2022/07/27 00:00:46 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:00:46 - mmengine - INFO - Epoch(train) [16][3757/3757] lr: 9.8296e-03 eta: 2 days, 19:21:19 time: 0.3918 data_time: 0.0171 memory: 17007 grad_norm: 4.7849 top1_acc: 0.1429 top5_acc: 0.1429 loss_cls: 3.1496 loss: 3.1496 2022/07/27 00:00:46 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/07/27 00:00:57 - mmengine - INFO - Epoch(train) [17][20/3757] lr: 9.8063e-03 eta: 2 days, 19:20:08 time: 0.4529 data_time: 0.0760 memory: 17007 grad_norm: 7.9508 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3343 loss: 3.3343 2022/07/27 00:01:05 - mmengine - INFO - Epoch(train) [17][40/3757] lr: 9.8063e-03 eta: 2 days, 19:20:03 time: 0.4064 data_time: 0.0165 memory: 17007 grad_norm: 4.9502 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3990 loss: 3.3990 2022/07/27 00:01:13 - mmengine - INFO - Epoch(train) [17][60/3757] lr: 9.8063e-03 eta: 2 days, 19:19:54 time: 0.3909 data_time: 0.0143 memory: 17007 grad_norm: 4.8987 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3191 loss: 3.3191 2022/07/27 00:01:21 - mmengine - INFO - Epoch(train) [17][80/3757] lr: 9.8063e-03 eta: 2 days, 19:19:46 time: 0.3902 data_time: 0.0158 memory: 17007 grad_norm: 4.8165 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5907 loss: 3.5907 2022/07/27 00:01:29 - mmengine - INFO - Epoch(train) [17][100/3757] lr: 9.8063e-03 eta: 2 days, 19:19:40 time: 0.4031 data_time: 0.0147 memory: 17007 grad_norm: 4.6428 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0180 loss: 3.0180 2022/07/27 00:01:37 - mmengine - INFO - Epoch(train) [17][120/3757] lr: 9.8063e-03 eta: 2 days, 19:19:32 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 4.7550 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.2552 loss: 3.2552 2022/07/27 00:01:45 - mmengine - INFO - Epoch(train) [17][140/3757] lr: 9.8063e-03 eta: 2 days, 19:19:27 time: 0.4093 data_time: 0.0160 memory: 17007 grad_norm: 4.7410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8111 loss: 2.8111 2022/07/27 00:01:53 - mmengine - INFO - Epoch(train) [17][160/3757] lr: 9.8063e-03 eta: 2 days, 19:19:19 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 4.7129 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2128 loss: 3.2128 2022/07/27 00:02:01 - mmengine - INFO - Epoch(train) [17][180/3757] lr: 9.8063e-03 eta: 2 days, 19:19:11 time: 0.3907 data_time: 0.0150 memory: 17007 grad_norm: 4.7499 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0816 loss: 3.0816 2022/07/27 00:02:09 - mmengine - INFO - Epoch(train) [17][200/3757] lr: 9.8063e-03 eta: 2 days, 19:19:05 time: 0.4030 data_time: 0.0164 memory: 17007 grad_norm: 4.7138 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9955 loss: 2.9955 2022/07/27 00:02:17 - mmengine - INFO - Epoch(train) [17][220/3757] lr: 9.8063e-03 eta: 2 days, 19:18:57 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 4.7092 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3979 loss: 3.3979 2022/07/27 00:02:25 - mmengine - INFO - Epoch(train) [17][240/3757] lr: 9.8063e-03 eta: 2 days, 19:18:53 time: 0.4134 data_time: 0.0160 memory: 17007 grad_norm: 4.5938 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5334 loss: 3.5334 2022/07/27 00:02:33 - mmengine - INFO - Epoch(train) [17][260/3757] lr: 9.8063e-03 eta: 2 days, 19:18:45 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 4.6704 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.2885 loss: 3.2885 2022/07/27 00:02:41 - mmengine - INFO - Epoch(train) [17][280/3757] lr: 9.8063e-03 eta: 2 days, 19:18:37 time: 0.3907 data_time: 0.0156 memory: 17007 grad_norm: 4.5445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3598 loss: 3.3598 2022/07/27 00:02:48 - mmengine - INFO - Epoch(train) [17][300/3757] lr: 9.8063e-03 eta: 2 days, 19:18:28 time: 0.3919 data_time: 0.0152 memory: 17007 grad_norm: 4.5565 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1849 loss: 3.1849 2022/07/27 00:02:56 - mmengine - INFO - Epoch(train) [17][320/3757] lr: 9.8063e-03 eta: 2 days, 19:18:20 time: 0.3924 data_time: 0.0171 memory: 17007 grad_norm: 4.5872 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1918 loss: 3.1918 2022/07/27 00:03:04 - mmengine - INFO - Epoch(train) [17][340/3757] lr: 9.8063e-03 eta: 2 days, 19:18:15 time: 0.4043 data_time: 0.0156 memory: 17007 grad_norm: 4.7115 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5264 loss: 3.5264 2022/07/27 00:03:12 - mmengine - INFO - Epoch(train) [17][360/3757] lr: 9.8063e-03 eta: 2 days, 19:18:07 time: 0.3922 data_time: 0.0163 memory: 17007 grad_norm: 4.6915 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1725 loss: 3.1725 2022/07/27 00:03:20 - mmengine - INFO - Epoch(train) [17][380/3757] lr: 9.8063e-03 eta: 2 days, 19:17:59 time: 0.3925 data_time: 0.0167 memory: 17007 grad_norm: 4.6491 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1824 loss: 3.1824 2022/07/27 00:03:28 - mmengine - INFO - Epoch(train) [17][400/3757] lr: 9.8063e-03 eta: 2 days, 19:17:54 time: 0.4089 data_time: 0.0167 memory: 17007 grad_norm: 4.5989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0371 loss: 3.0371 2022/07/27 00:03:36 - mmengine - INFO - Epoch(train) [17][420/3757] lr: 9.8063e-03 eta: 2 days, 19:17:46 time: 0.3922 data_time: 0.0164 memory: 17007 grad_norm: 4.5156 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1633 loss: 3.1633 2022/07/27 00:03:44 - mmengine - INFO - Epoch(train) [17][440/3757] lr: 9.8063e-03 eta: 2 days, 19:17:39 time: 0.3975 data_time: 0.0160 memory: 17007 grad_norm: 4.6274 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3598 loss: 3.3598 2022/07/27 00:03:52 - mmengine - INFO - Epoch(train) [17][460/3757] lr: 9.8063e-03 eta: 2 days, 19:17:30 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 4.7564 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3080 loss: 3.3080 2022/07/27 00:04:00 - mmengine - INFO - Epoch(train) [17][480/3757] lr: 9.8063e-03 eta: 2 days, 19:17:22 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 4.6549 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1208 loss: 3.1208 2022/07/27 00:04:08 - mmengine - INFO - Epoch(train) [17][500/3757] lr: 9.8063e-03 eta: 2 days, 19:17:14 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 4.7420 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3604 loss: 3.3604 2022/07/27 00:04:15 - mmengine - INFO - Epoch(train) [17][520/3757] lr: 9.8063e-03 eta: 2 days, 19:17:06 time: 0.3927 data_time: 0.0163 memory: 17007 grad_norm: 4.6544 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9722 loss: 2.9722 2022/07/27 00:04:23 - mmengine - INFO - Epoch(train) [17][540/3757] lr: 9.8063e-03 eta: 2 days, 19:16:58 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 4.5818 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1366 loss: 3.1366 2022/07/27 00:04:31 - mmengine - INFO - Epoch(train) [17][560/3757] lr: 9.8063e-03 eta: 2 days, 19:16:49 time: 0.3912 data_time: 0.0159 memory: 17007 grad_norm: 4.5779 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2289 loss: 3.2289 2022/07/27 00:04:39 - mmengine - INFO - Epoch(train) [17][580/3757] lr: 9.8063e-03 eta: 2 days, 19:16:41 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 4.6274 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0427 loss: 3.0427 2022/07/27 00:04:47 - mmengine - INFO - Epoch(train) [17][600/3757] lr: 9.8063e-03 eta: 2 days, 19:16:35 time: 0.4007 data_time: 0.0155 memory: 17007 grad_norm: 4.5966 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9271 loss: 2.9271 2022/07/27 00:04:55 - mmengine - INFO - Epoch(train) [17][620/3757] lr: 9.8063e-03 eta: 2 days, 19:16:27 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 4.6971 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1365 loss: 3.1365 2022/07/27 00:05:03 - mmengine - INFO - Epoch(train) [17][640/3757] lr: 9.8063e-03 eta: 2 days, 19:16:19 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 4.7152 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0274 loss: 3.0274 2022/07/27 00:05:11 - mmengine - INFO - Epoch(train) [17][660/3757] lr: 9.8063e-03 eta: 2 days, 19:16:12 time: 0.3957 data_time: 0.0155 memory: 17007 grad_norm: 4.7199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3610 loss: 3.3610 2022/07/27 00:05:19 - mmengine - INFO - Epoch(train) [17][680/3757] lr: 9.8063e-03 eta: 2 days, 19:16:04 time: 0.3931 data_time: 0.0166 memory: 17007 grad_norm: 4.6961 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2898 loss: 3.2898 2022/07/27 00:05:26 - mmengine - INFO - Epoch(train) [17][700/3757] lr: 9.8063e-03 eta: 2 days, 19:15:56 time: 0.3969 data_time: 0.0155 memory: 17007 grad_norm: 4.6858 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1698 loss: 3.1698 2022/07/27 00:05:34 - mmengine - INFO - Epoch(train) [17][720/3757] lr: 9.8063e-03 eta: 2 days, 19:15:50 time: 0.4021 data_time: 0.0172 memory: 17007 grad_norm: 4.5969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3954 loss: 3.3954 2022/07/27 00:05:42 - mmengine - INFO - Epoch(train) [17][740/3757] lr: 9.8063e-03 eta: 2 days, 19:15:42 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 4.5298 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2712 loss: 3.2712 2022/07/27 00:05:50 - mmengine - INFO - Epoch(train) [17][760/3757] lr: 9.8063e-03 eta: 2 days, 19:15:35 time: 0.3964 data_time: 0.0176 memory: 17007 grad_norm: 4.4711 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8465 loss: 2.8465 2022/07/27 00:05:58 - mmengine - INFO - Epoch(train) [17][780/3757] lr: 9.8063e-03 eta: 2 days, 19:15:28 time: 0.3963 data_time: 0.0146 memory: 17007 grad_norm: 4.5429 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0055 loss: 3.0055 2022/07/27 00:06:06 - mmengine - INFO - Epoch(train) [17][800/3757] lr: 9.8063e-03 eta: 2 days, 19:15:22 time: 0.4034 data_time: 0.0173 memory: 17007 grad_norm: 4.7346 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2079 loss: 3.2079 2022/07/27 00:06:14 - mmengine - INFO - Epoch(train) [17][820/3757] lr: 9.8063e-03 eta: 2 days, 19:15:17 time: 0.4093 data_time: 0.0154 memory: 17007 grad_norm: 4.7308 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5091 loss: 3.5091 2022/07/27 00:06:22 - mmengine - INFO - Epoch(train) [17][840/3757] lr: 9.8063e-03 eta: 2 days, 19:15:09 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 4.6422 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4272 loss: 3.4272 2022/07/27 00:06:30 - mmengine - INFO - Epoch(train) [17][860/3757] lr: 9.8063e-03 eta: 2 days, 19:15:02 time: 0.3972 data_time: 0.0156 memory: 17007 grad_norm: 4.7279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2512 loss: 3.2512 2022/07/27 00:06:38 - mmengine - INFO - Epoch(train) [17][880/3757] lr: 9.8063e-03 eta: 2 days, 19:14:54 time: 0.3928 data_time: 0.0170 memory: 17007 grad_norm: 4.8277 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2146 loss: 3.2146 2022/07/27 00:06:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:06:46 - mmengine - INFO - Epoch(train) [17][900/3757] lr: 9.8063e-03 eta: 2 days, 19:14:46 time: 0.3952 data_time: 0.0159 memory: 17007 grad_norm: 4.6369 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1558 loss: 3.1558 2022/07/27 00:06:54 - mmengine - INFO - Epoch(train) [17][920/3757] lr: 9.8063e-03 eta: 2 days, 19:14:38 time: 0.3933 data_time: 0.0175 memory: 17007 grad_norm: 4.7117 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2451 loss: 3.2451 2022/07/27 00:07:02 - mmengine - INFO - Epoch(train) [17][940/3757] lr: 9.8063e-03 eta: 2 days, 19:14:30 time: 0.3906 data_time: 0.0149 memory: 17007 grad_norm: 4.7123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0266 loss: 3.0266 2022/07/27 00:07:10 - mmengine - INFO - Epoch(train) [17][960/3757] lr: 9.8063e-03 eta: 2 days, 19:14:22 time: 0.3960 data_time: 0.0161 memory: 17007 grad_norm: 4.6856 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0918 loss: 3.0918 2022/07/27 00:07:18 - mmengine - INFO - Epoch(train) [17][980/3757] lr: 9.8063e-03 eta: 2 days, 19:14:16 time: 0.4016 data_time: 0.0159 memory: 17007 grad_norm: 4.5745 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0403 loss: 3.0403 2022/07/27 00:07:26 - mmengine - INFO - Epoch(train) [17][1000/3757] lr: 9.8063e-03 eta: 2 days, 19:14:09 time: 0.3993 data_time: 0.0167 memory: 17007 grad_norm: 4.5973 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3144 loss: 3.3144 2022/07/27 00:07:33 - mmengine - INFO - Epoch(train) [17][1020/3757] lr: 9.8063e-03 eta: 2 days, 19:14:01 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 4.6923 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1516 loss: 3.1516 2022/07/27 00:07:41 - mmengine - INFO - Epoch(train) [17][1040/3757] lr: 9.8063e-03 eta: 2 days, 19:13:53 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 4.5666 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0644 loss: 3.0644 2022/07/27 00:07:49 - mmengine - INFO - Epoch(train) [17][1060/3757] lr: 9.8063e-03 eta: 2 days, 19:13:46 time: 0.3953 data_time: 0.0167 memory: 17007 grad_norm: 4.6578 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3064 loss: 3.3064 2022/07/27 00:07:57 - mmengine - INFO - Epoch(train) [17][1080/3757] lr: 9.8063e-03 eta: 2 days, 19:13:38 time: 0.3932 data_time: 0.0164 memory: 17007 grad_norm: 4.6107 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1724 loss: 3.1724 2022/07/27 00:08:05 - mmengine - INFO - Epoch(train) [17][1100/3757] lr: 9.8063e-03 eta: 2 days, 19:13:30 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 4.6731 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5398 loss: 3.5398 2022/07/27 00:08:13 - mmengine - INFO - Epoch(train) [17][1120/3757] lr: 9.8063e-03 eta: 2 days, 19:13:22 time: 0.3915 data_time: 0.0157 memory: 17007 grad_norm: 4.6936 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0925 loss: 3.0925 2022/07/27 00:08:21 - mmengine - INFO - Epoch(train) [17][1140/3757] lr: 9.8063e-03 eta: 2 days, 19:13:15 time: 0.3998 data_time: 0.0159 memory: 17007 grad_norm: 4.6326 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0615 loss: 3.0615 2022/07/27 00:08:29 - mmengine - INFO - Epoch(train) [17][1160/3757] lr: 9.8063e-03 eta: 2 days, 19:13:07 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 4.6633 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1716 loss: 3.1716 2022/07/27 00:08:37 - mmengine - INFO - Epoch(train) [17][1180/3757] lr: 9.8063e-03 eta: 2 days, 19:12:59 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 4.7072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2763 loss: 3.2763 2022/07/27 00:08:44 - mmengine - INFO - Epoch(train) [17][1200/3757] lr: 9.8063e-03 eta: 2 days, 19:12:51 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 4.6208 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9730 loss: 2.9730 2022/07/27 00:08:52 - mmengine - INFO - Epoch(train) [17][1220/3757] lr: 9.8063e-03 eta: 2 days, 19:12:43 time: 0.3898 data_time: 0.0144 memory: 17007 grad_norm: 4.6244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0349 loss: 3.0349 2022/07/27 00:09:00 - mmengine - INFO - Epoch(train) [17][1240/3757] lr: 9.8063e-03 eta: 2 days, 19:12:34 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 4.6494 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.4492 loss: 3.4492 2022/07/27 00:09:09 - mmengine - INFO - Epoch(train) [17][1260/3757] lr: 9.8063e-03 eta: 2 days, 19:12:34 time: 0.4320 data_time: 0.0161 memory: 17007 grad_norm: 4.7269 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9930 loss: 2.9930 2022/07/27 00:09:17 - mmengine - INFO - Epoch(train) [17][1280/3757] lr: 9.8063e-03 eta: 2 days, 19:12:26 time: 0.3921 data_time: 0.0159 memory: 17007 grad_norm: 4.5892 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2967 loss: 3.2967 2022/07/27 00:09:24 - mmengine - INFO - Epoch(train) [17][1300/3757] lr: 9.8063e-03 eta: 2 days, 19:12:19 time: 0.3959 data_time: 0.0158 memory: 17007 grad_norm: 4.6885 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3215 loss: 3.3215 2022/07/27 00:09:32 - mmengine - INFO - Epoch(train) [17][1320/3757] lr: 9.8063e-03 eta: 2 days, 19:12:11 time: 0.3923 data_time: 0.0159 memory: 17007 grad_norm: 4.6859 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3286 loss: 3.3286 2022/07/27 00:09:40 - mmengine - INFO - Epoch(train) [17][1340/3757] lr: 9.8063e-03 eta: 2 days, 19:12:03 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 4.5873 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8897 loss: 2.8897 2022/07/27 00:09:48 - mmengine - INFO - Epoch(train) [17][1360/3757] lr: 9.8063e-03 eta: 2 days, 19:11:55 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 4.6509 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1474 loss: 3.1474 2022/07/27 00:09:56 - mmengine - INFO - Epoch(train) [17][1380/3757] lr: 9.8063e-03 eta: 2 days, 19:11:46 time: 0.3905 data_time: 0.0150 memory: 17007 grad_norm: 4.7196 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1837 loss: 3.1837 2022/07/27 00:10:04 - mmengine - INFO - Epoch(train) [17][1400/3757] lr: 9.8063e-03 eta: 2 days, 19:11:39 time: 0.3946 data_time: 0.0164 memory: 17007 grad_norm: 4.6823 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1834 loss: 3.1834 2022/07/27 00:10:12 - mmengine - INFO - Epoch(train) [17][1420/3757] lr: 9.8063e-03 eta: 2 days, 19:11:30 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 4.7266 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3601 loss: 3.3601 2022/07/27 00:10:19 - mmengine - INFO - Epoch(train) [17][1440/3757] lr: 9.8063e-03 eta: 2 days, 19:11:22 time: 0.3922 data_time: 0.0162 memory: 17007 grad_norm: 4.7312 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3295 loss: 3.3295 2022/07/27 00:10:27 - mmengine - INFO - Epoch(train) [17][1460/3757] lr: 9.8063e-03 eta: 2 days, 19:11:15 time: 0.3991 data_time: 0.0153 memory: 17007 grad_norm: 4.7294 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4433 loss: 3.4433 2022/07/27 00:10:35 - mmengine - INFO - Epoch(train) [17][1480/3757] lr: 9.8063e-03 eta: 2 days, 19:11:07 time: 0.3928 data_time: 0.0168 memory: 17007 grad_norm: 4.7549 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3282 loss: 3.3282 2022/07/27 00:10:43 - mmengine - INFO - Epoch(train) [17][1500/3757] lr: 9.8063e-03 eta: 2 days, 19:10:59 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 4.6646 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4321 loss: 3.4321 2022/07/27 00:10:51 - mmengine - INFO - Epoch(train) [17][1520/3757] lr: 9.8063e-03 eta: 2 days, 19:10:53 time: 0.4037 data_time: 0.0154 memory: 17007 grad_norm: 4.6742 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1674 loss: 3.1674 2022/07/27 00:10:59 - mmengine - INFO - Epoch(train) [17][1540/3757] lr: 9.8063e-03 eta: 2 days, 19:10:45 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 4.7551 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.4072 loss: 3.4072 2022/07/27 00:11:07 - mmengine - INFO - Epoch(train) [17][1560/3757] lr: 9.8063e-03 eta: 2 days, 19:10:39 time: 0.4015 data_time: 0.0164 memory: 17007 grad_norm: 4.6694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1912 loss: 3.1912 2022/07/27 00:11:15 - mmengine - INFO - Epoch(train) [17][1580/3757] lr: 9.8063e-03 eta: 2 days, 19:10:31 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 4.5767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8874 loss: 2.8874 2022/07/27 00:11:23 - mmengine - INFO - Epoch(train) [17][1600/3757] lr: 9.8063e-03 eta: 2 days, 19:10:22 time: 0.3910 data_time: 0.0155 memory: 17007 grad_norm: 4.7186 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2234 loss: 3.2234 2022/07/27 00:11:31 - mmengine - INFO - Epoch(train) [17][1620/3757] lr: 9.8063e-03 eta: 2 days, 19:10:14 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 4.5336 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1009 loss: 3.1009 2022/07/27 00:11:39 - mmengine - INFO - Epoch(train) [17][1640/3757] lr: 9.8063e-03 eta: 2 days, 19:10:08 time: 0.4020 data_time: 0.0170 memory: 17007 grad_norm: 4.7157 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2465 loss: 3.2465 2022/07/27 00:11:46 - mmengine - INFO - Epoch(train) [17][1660/3757] lr: 9.8063e-03 eta: 2 days, 19:10:00 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 4.7025 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9336 loss: 2.9336 2022/07/27 00:11:54 - mmengine - INFO - Epoch(train) [17][1680/3757] lr: 9.8063e-03 eta: 2 days, 19:09:54 time: 0.4012 data_time: 0.0168 memory: 17007 grad_norm: 4.5955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.2479 loss: 3.2479 2022/07/27 00:12:02 - mmengine - INFO - Epoch(train) [17][1700/3757] lr: 9.8063e-03 eta: 2 days, 19:09:45 time: 0.3903 data_time: 0.0139 memory: 17007 grad_norm: 4.6748 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1411 loss: 3.1411 2022/07/27 00:12:10 - mmengine - INFO - Epoch(train) [17][1720/3757] lr: 9.8063e-03 eta: 2 days, 19:09:38 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 4.7521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3755 loss: 3.3755 2022/07/27 00:12:18 - mmengine - INFO - Epoch(train) [17][1740/3757] lr: 9.8063e-03 eta: 2 days, 19:09:29 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 4.6654 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4270 loss: 3.4270 2022/07/27 00:12:26 - mmengine - INFO - Epoch(train) [17][1760/3757] lr: 9.8063e-03 eta: 2 days, 19:09:21 time: 0.3929 data_time: 0.0168 memory: 17007 grad_norm: 4.7295 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0972 loss: 3.0972 2022/07/27 00:12:34 - mmengine - INFO - Epoch(train) [17][1780/3757] lr: 9.8063e-03 eta: 2 days, 19:09:13 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 4.8351 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2666 loss: 3.2666 2022/07/27 00:12:42 - mmengine - INFO - Epoch(train) [17][1800/3757] lr: 9.8063e-03 eta: 2 days, 19:09:05 time: 0.3925 data_time: 0.0148 memory: 17007 grad_norm: 4.6729 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3856 loss: 3.3856 2022/07/27 00:12:49 - mmengine - INFO - Epoch(train) [17][1820/3757] lr: 9.8063e-03 eta: 2 days, 19:08:57 time: 0.3919 data_time: 0.0146 memory: 17007 grad_norm: 4.5769 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1714 loss: 3.1714 2022/07/27 00:12:57 - mmengine - INFO - Epoch(train) [17][1840/3757] lr: 9.8063e-03 eta: 2 days, 19:08:50 time: 0.3970 data_time: 0.0168 memory: 17007 grad_norm: 4.6177 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3753 loss: 3.3753 2022/07/27 00:13:05 - mmengine - INFO - Epoch(train) [17][1860/3757] lr: 9.8063e-03 eta: 2 days, 19:08:42 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 4.7094 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3204 loss: 3.3204 2022/07/27 00:13:13 - mmengine - INFO - Epoch(train) [17][1880/3757] lr: 9.8063e-03 eta: 2 days, 19:08:34 time: 0.3924 data_time: 0.0163 memory: 17007 grad_norm: 4.5659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0295 loss: 3.0295 2022/07/27 00:13:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:13:21 - mmengine - INFO - Epoch(train) [17][1900/3757] lr: 9.8063e-03 eta: 2 days, 19:08:26 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 4.7155 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3353 loss: 3.3353 2022/07/27 00:13:29 - mmengine - INFO - Epoch(train) [17][1920/3757] lr: 9.8063e-03 eta: 2 days, 19:08:18 time: 0.3934 data_time: 0.0172 memory: 17007 grad_norm: 4.5222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2438 loss: 3.2438 2022/07/27 00:13:37 - mmengine - INFO - Epoch(train) [17][1940/3757] lr: 9.8063e-03 eta: 2 days, 19:08:10 time: 0.3921 data_time: 0.0147 memory: 17007 grad_norm: 4.7476 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1708 loss: 3.1708 2022/07/27 00:13:44 - mmengine - INFO - Epoch(train) [17][1960/3757] lr: 9.8063e-03 eta: 2 days, 19:08:02 time: 0.3935 data_time: 0.0174 memory: 17007 grad_norm: 4.6407 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1516 loss: 3.1516 2022/07/27 00:13:52 - mmengine - INFO - Epoch(train) [17][1980/3757] lr: 9.8063e-03 eta: 2 days, 19:07:53 time: 0.3898 data_time: 0.0141 memory: 17007 grad_norm: 4.6237 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5453 loss: 3.5453 2022/07/27 00:14:00 - mmengine - INFO - Epoch(train) [17][2000/3757] lr: 9.8063e-03 eta: 2 days, 19:07:45 time: 0.3920 data_time: 0.0161 memory: 17007 grad_norm: 4.5502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4119 loss: 3.4119 2022/07/27 00:14:08 - mmengine - INFO - Epoch(train) [17][2020/3757] lr: 9.8063e-03 eta: 2 days, 19:07:37 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 4.7023 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5600 loss: 3.5600 2022/07/27 00:14:16 - mmengine - INFO - Epoch(train) [17][2040/3757] lr: 9.8063e-03 eta: 2 days, 19:07:29 time: 0.3925 data_time: 0.0169 memory: 17007 grad_norm: 4.6804 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.6551 loss: 3.6551 2022/07/27 00:14:24 - mmengine - INFO - Epoch(train) [17][2060/3757] lr: 9.8063e-03 eta: 2 days, 19:07:21 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 4.6517 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9508 loss: 2.9508 2022/07/27 00:14:32 - mmengine - INFO - Epoch(train) [17][2080/3757] lr: 9.8063e-03 eta: 2 days, 19:07:13 time: 0.3940 data_time: 0.0170 memory: 17007 grad_norm: 4.5632 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2304 loss: 3.2304 2022/07/27 00:14:39 - mmengine - INFO - Epoch(train) [17][2100/3757] lr: 9.8063e-03 eta: 2 days, 19:07:06 time: 0.3956 data_time: 0.0158 memory: 17007 grad_norm: 4.7318 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1113 loss: 3.1113 2022/07/27 00:14:47 - mmengine - INFO - Epoch(train) [17][2120/3757] lr: 9.8063e-03 eta: 2 days, 19:06:58 time: 0.3926 data_time: 0.0170 memory: 17007 grad_norm: 4.6557 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1673 loss: 3.1673 2022/07/27 00:14:55 - mmengine - INFO - Epoch(train) [17][2140/3757] lr: 9.8063e-03 eta: 2 days, 19:06:49 time: 0.3911 data_time: 0.0148 memory: 17007 grad_norm: 4.7175 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2644 loss: 3.2644 2022/07/27 00:15:03 - mmengine - INFO - Epoch(train) [17][2160/3757] lr: 9.8063e-03 eta: 2 days, 19:06:41 time: 0.3911 data_time: 0.0152 memory: 17007 grad_norm: 4.6564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3044 loss: 3.3044 2022/07/27 00:15:11 - mmengine - INFO - Epoch(train) [17][2180/3757] lr: 9.8063e-03 eta: 2 days, 19:06:33 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 4.5938 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3006 loss: 3.3006 2022/07/27 00:15:19 - mmengine - INFO - Epoch(train) [17][2200/3757] lr: 9.8063e-03 eta: 2 days, 19:06:25 time: 0.3938 data_time: 0.0181 memory: 17007 grad_norm: 4.7423 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3667 loss: 3.3667 2022/07/27 00:15:27 - mmengine - INFO - Epoch(train) [17][2220/3757] lr: 9.8063e-03 eta: 2 days, 19:06:17 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 4.7299 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4700 loss: 3.4700 2022/07/27 00:15:34 - mmengine - INFO - Epoch(train) [17][2240/3757] lr: 9.8063e-03 eta: 2 days, 19:06:09 time: 0.3932 data_time: 0.0170 memory: 17007 grad_norm: 4.7103 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0028 loss: 3.0028 2022/07/27 00:15:42 - mmengine - INFO - Epoch(train) [17][2260/3757] lr: 9.8063e-03 eta: 2 days, 19:06:01 time: 0.3905 data_time: 0.0152 memory: 17007 grad_norm: 4.7434 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2181 loss: 3.2181 2022/07/27 00:15:50 - mmengine - INFO - Epoch(train) [17][2280/3757] lr: 9.8063e-03 eta: 2 days, 19:05:53 time: 0.3917 data_time: 0.0156 memory: 17007 grad_norm: 4.4554 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9941 loss: 2.9941 2022/07/27 00:15:58 - mmengine - INFO - Epoch(train) [17][2300/3757] lr: 9.8063e-03 eta: 2 days, 19:05:45 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 4.8034 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0753 loss: 3.0753 2022/07/27 00:16:06 - mmengine - INFO - Epoch(train) [17][2320/3757] lr: 9.8063e-03 eta: 2 days, 19:05:37 time: 0.3948 data_time: 0.0171 memory: 17007 grad_norm: 4.5872 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0350 loss: 3.0350 2022/07/27 00:16:14 - mmengine - INFO - Epoch(train) [17][2340/3757] lr: 9.8063e-03 eta: 2 days, 19:05:29 time: 0.3910 data_time: 0.0144 memory: 17007 grad_norm: 4.7779 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1895 loss: 3.1895 2022/07/27 00:16:22 - mmengine - INFO - Epoch(train) [17][2360/3757] lr: 9.8063e-03 eta: 2 days, 19:05:23 time: 0.4039 data_time: 0.0159 memory: 17007 grad_norm: 4.6228 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1186 loss: 3.1186 2022/07/27 00:16:30 - mmengine - INFO - Epoch(train) [17][2380/3757] lr: 9.8063e-03 eta: 2 days, 19:05:14 time: 0.3907 data_time: 0.0164 memory: 17007 grad_norm: 4.5889 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2856 loss: 3.2856 2022/07/27 00:16:37 - mmengine - INFO - Epoch(train) [17][2400/3757] lr: 9.8063e-03 eta: 2 days, 19:05:07 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 4.5860 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3645 loss: 3.3645 2022/07/27 00:16:45 - mmengine - INFO - Epoch(train) [17][2420/3757] lr: 9.8063e-03 eta: 2 days, 19:04:59 time: 0.3913 data_time: 0.0151 memory: 17007 grad_norm: 4.6812 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3583 loss: 3.3583 2022/07/27 00:16:53 - mmengine - INFO - Epoch(train) [17][2440/3757] lr: 9.8063e-03 eta: 2 days, 19:04:51 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 4.7075 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2152 loss: 3.2152 2022/07/27 00:17:01 - mmengine - INFO - Epoch(train) [17][2460/3757] lr: 9.8063e-03 eta: 2 days, 19:04:43 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 4.6934 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0557 loss: 3.0557 2022/07/27 00:17:09 - mmengine - INFO - Epoch(train) [17][2480/3757] lr: 9.8063e-03 eta: 2 days, 19:04:34 time: 0.3921 data_time: 0.0149 memory: 17007 grad_norm: 4.6181 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4100 loss: 3.4100 2022/07/27 00:17:17 - mmengine - INFO - Epoch(train) [17][2500/3757] lr: 9.8063e-03 eta: 2 days, 19:04:27 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 4.6450 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9530 loss: 2.9530 2022/07/27 00:17:25 - mmengine - INFO - Epoch(train) [17][2520/3757] lr: 9.8063e-03 eta: 2 days, 19:04:18 time: 0.3920 data_time: 0.0160 memory: 17007 grad_norm: 4.6139 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0049 loss: 3.0049 2022/07/27 00:17:32 - mmengine - INFO - Epoch(train) [17][2540/3757] lr: 9.8063e-03 eta: 2 days, 19:04:10 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 4.7796 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1259 loss: 3.1259 2022/07/27 00:17:40 - mmengine - INFO - Epoch(train) [17][2560/3757] lr: 9.8063e-03 eta: 2 days, 19:04:02 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 4.7827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1022 loss: 3.1022 2022/07/27 00:17:48 - mmengine - INFO - Epoch(train) [17][2580/3757] lr: 9.8063e-03 eta: 2 days, 19:03:54 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 4.6415 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1407 loss: 3.1407 2022/07/27 00:17:56 - mmengine - INFO - Epoch(train) [17][2600/3757] lr: 9.8063e-03 eta: 2 days, 19:03:47 time: 0.3947 data_time: 0.0167 memory: 17007 grad_norm: 4.6263 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9790 loss: 2.9790 2022/07/27 00:18:04 - mmengine - INFO - Epoch(train) [17][2620/3757] lr: 9.8063e-03 eta: 2 days, 19:03:38 time: 0.3903 data_time: 0.0151 memory: 17007 grad_norm: 4.7301 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9608 loss: 2.9608 2022/07/27 00:18:12 - mmengine - INFO - Epoch(train) [17][2640/3757] lr: 9.8063e-03 eta: 2 days, 19:03:30 time: 0.3930 data_time: 0.0167 memory: 17007 grad_norm: 4.8142 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2263 loss: 3.2263 2022/07/27 00:18:20 - mmengine - INFO - Epoch(train) [17][2660/3757] lr: 9.8063e-03 eta: 2 days, 19:03:23 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 4.7581 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2547 loss: 3.2547 2022/07/27 00:18:27 - mmengine - INFO - Epoch(train) [17][2680/3757] lr: 9.8063e-03 eta: 2 days, 19:03:15 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 4.6942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1154 loss: 3.1154 2022/07/27 00:18:36 - mmengine - INFO - Epoch(train) [17][2700/3757] lr: 9.8063e-03 eta: 2 days, 19:03:09 time: 0.4056 data_time: 0.0164 memory: 17007 grad_norm: 4.6381 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3571 loss: 3.3571 2022/07/27 00:18:43 - mmengine - INFO - Epoch(train) [17][2720/3757] lr: 9.8063e-03 eta: 2 days, 19:03:01 time: 0.3917 data_time: 0.0156 memory: 17007 grad_norm: 4.6866 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1799 loss: 3.1799 2022/07/27 00:18:51 - mmengine - INFO - Epoch(train) [17][2740/3757] lr: 9.8063e-03 eta: 2 days, 19:02:53 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 4.6418 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2292 loss: 3.2292 2022/07/27 00:18:59 - mmengine - INFO - Epoch(train) [17][2760/3757] lr: 9.8063e-03 eta: 2 days, 19:02:45 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 4.8016 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9672 loss: 2.9672 2022/07/27 00:19:07 - mmengine - INFO - Epoch(train) [17][2780/3757] lr: 9.8063e-03 eta: 2 days, 19:02:38 time: 0.3993 data_time: 0.0158 memory: 17007 grad_norm: 4.7188 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2693 loss: 3.2693 2022/07/27 00:19:15 - mmengine - INFO - Epoch(train) [17][2800/3757] lr: 9.8063e-03 eta: 2 days, 19:02:30 time: 0.3946 data_time: 0.0189 memory: 17007 grad_norm: 4.7210 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2635 loss: 3.2635 2022/07/27 00:19:23 - mmengine - INFO - Epoch(train) [17][2820/3757] lr: 9.8063e-03 eta: 2 days, 19:02:22 time: 0.3896 data_time: 0.0141 memory: 17007 grad_norm: 4.8753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4040 loss: 3.4040 2022/07/27 00:19:31 - mmengine - INFO - Epoch(train) [17][2840/3757] lr: 9.8063e-03 eta: 2 days, 19:02:14 time: 0.3920 data_time: 0.0160 memory: 17007 grad_norm: 4.6954 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0954 loss: 3.0954 2022/07/27 00:19:38 - mmengine - INFO - Epoch(train) [17][2860/3757] lr: 9.8063e-03 eta: 2 days, 19:02:05 time: 0.3917 data_time: 0.0149 memory: 17007 grad_norm: 4.6519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1436 loss: 3.1436 2022/07/27 00:19:47 - mmengine - INFO - Epoch(train) [17][2880/3757] lr: 9.8063e-03 eta: 2 days, 19:02:01 time: 0.4105 data_time: 0.0159 memory: 17007 grad_norm: 4.6608 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3888 loss: 3.3888 2022/07/27 00:19:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:19:55 - mmengine - INFO - Epoch(train) [17][2900/3757] lr: 9.8063e-03 eta: 2 days, 19:01:52 time: 0.3904 data_time: 0.0143 memory: 17007 grad_norm: 4.5353 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1694 loss: 3.1694 2022/07/27 00:20:02 - mmengine - INFO - Epoch(train) [17][2920/3757] lr: 9.8063e-03 eta: 2 days, 19:01:44 time: 0.3909 data_time: 0.0161 memory: 17007 grad_norm: 4.6350 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9765 loss: 2.9765 2022/07/27 00:20:10 - mmengine - INFO - Epoch(train) [17][2940/3757] lr: 9.8063e-03 eta: 2 days, 19:01:36 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 4.7000 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1126 loss: 3.1126 2022/07/27 00:20:18 - mmengine - INFO - Epoch(train) [17][2960/3757] lr: 9.8063e-03 eta: 2 days, 19:01:29 time: 0.3971 data_time: 0.0166 memory: 17007 grad_norm: 4.7509 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3726 loss: 3.3726 2022/07/27 00:20:26 - mmengine - INFO - Epoch(train) [17][2980/3757] lr: 9.8063e-03 eta: 2 days, 19:01:22 time: 0.3960 data_time: 0.0163 memory: 17007 grad_norm: 4.6154 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0795 loss: 3.0795 2022/07/27 00:20:34 - mmengine - INFO - Epoch(train) [17][3000/3757] lr: 9.8063e-03 eta: 2 days, 19:01:14 time: 0.3917 data_time: 0.0166 memory: 17007 grad_norm: 4.5996 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.3181 loss: 3.3181 2022/07/27 00:20:42 - mmengine - INFO - Epoch(train) [17][3020/3757] lr: 9.8063e-03 eta: 2 days, 19:01:06 time: 0.3948 data_time: 0.0148 memory: 17007 grad_norm: 4.6386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1883 loss: 3.1883 2022/07/27 00:20:50 - mmengine - INFO - Epoch(train) [17][3040/3757] lr: 9.8063e-03 eta: 2 days, 19:00:58 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 4.6200 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1369 loss: 3.1369 2022/07/27 00:20:58 - mmengine - INFO - Epoch(train) [17][3060/3757] lr: 9.8063e-03 eta: 2 days, 19:00:50 time: 0.3932 data_time: 0.0169 memory: 17007 grad_norm: 4.7585 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3158 loss: 3.3158 2022/07/27 00:21:05 - mmengine - INFO - Epoch(train) [17][3080/3757] lr: 9.8063e-03 eta: 2 days, 19:00:43 time: 0.3958 data_time: 0.0160 memory: 17007 grad_norm: 4.6718 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.9579 loss: 2.9579 2022/07/27 00:21:13 - mmengine - INFO - Epoch(train) [17][3100/3757] lr: 9.8063e-03 eta: 2 days, 19:00:34 time: 0.3906 data_time: 0.0162 memory: 17007 grad_norm: 4.7354 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3829 loss: 3.3829 2022/07/27 00:21:21 - mmengine - INFO - Epoch(train) [17][3120/3757] lr: 9.8063e-03 eta: 2 days, 19:00:27 time: 0.3989 data_time: 0.0148 memory: 17007 grad_norm: 4.6493 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2586 loss: 3.2586 2022/07/27 00:21:29 - mmengine - INFO - Epoch(train) [17][3140/3757] lr: 9.8063e-03 eta: 2 days, 19:00:21 time: 0.4003 data_time: 0.0152 memory: 17007 grad_norm: 4.6052 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2974 loss: 3.2974 2022/07/27 00:21:37 - mmengine - INFO - Epoch(train) [17][3160/3757] lr: 9.8063e-03 eta: 2 days, 19:00:13 time: 0.3954 data_time: 0.0163 memory: 17007 grad_norm: 4.7672 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0521 loss: 3.0521 2022/07/27 00:21:45 - mmengine - INFO - Epoch(train) [17][3180/3757] lr: 9.8063e-03 eta: 2 days, 19:00:05 time: 0.3897 data_time: 0.0144 memory: 17007 grad_norm: 4.6529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0580 loss: 3.0580 2022/07/27 00:21:53 - mmengine - INFO - Epoch(train) [17][3200/3757] lr: 9.8063e-03 eta: 2 days, 18:59:57 time: 0.3928 data_time: 0.0169 memory: 17007 grad_norm: 4.7687 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9325 loss: 2.9325 2022/07/27 00:22:01 - mmengine - INFO - Epoch(train) [17][3220/3757] lr: 9.8063e-03 eta: 2 days, 18:59:49 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 4.6744 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5096 loss: 3.5096 2022/07/27 00:22:09 - mmengine - INFO - Epoch(train) [17][3240/3757] lr: 9.8063e-03 eta: 2 days, 18:59:41 time: 0.3927 data_time: 0.0152 memory: 17007 grad_norm: 4.6516 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0230 loss: 3.0230 2022/07/27 00:22:17 - mmengine - INFO - Epoch(train) [17][3260/3757] lr: 9.8063e-03 eta: 2 days, 18:59:34 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 4.7091 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2372 loss: 3.2372 2022/07/27 00:22:24 - mmengine - INFO - Epoch(train) [17][3280/3757] lr: 9.8063e-03 eta: 2 days, 18:59:25 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 4.7429 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1745 loss: 3.1745 2022/07/27 00:22:32 - mmengine - INFO - Epoch(train) [17][3300/3757] lr: 9.8063e-03 eta: 2 days, 18:59:17 time: 0.3914 data_time: 0.0144 memory: 17007 grad_norm: 4.7568 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2843 loss: 3.2843 2022/07/27 00:22:40 - mmengine - INFO - Epoch(train) [17][3320/3757] lr: 9.8063e-03 eta: 2 days, 18:59:09 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 4.6731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2526 loss: 3.2526 2022/07/27 00:22:48 - mmengine - INFO - Epoch(train) [17][3340/3757] lr: 9.8063e-03 eta: 2 days, 18:59:01 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 4.6788 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2285 loss: 3.2285 2022/07/27 00:22:56 - mmengine - INFO - Epoch(train) [17][3360/3757] lr: 9.8063e-03 eta: 2 days, 18:58:56 time: 0.4089 data_time: 0.0175 memory: 17007 grad_norm: 4.5645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2975 loss: 3.2975 2022/07/27 00:23:04 - mmengine - INFO - Epoch(train) [17][3380/3757] lr: 9.8063e-03 eta: 2 days, 18:58:48 time: 0.3910 data_time: 0.0150 memory: 17007 grad_norm: 4.5667 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2281 loss: 3.2281 2022/07/27 00:23:12 - mmengine - INFO - Epoch(train) [17][3400/3757] lr: 9.8063e-03 eta: 2 days, 18:58:40 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 4.5407 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2604 loss: 3.2604 2022/07/27 00:23:20 - mmengine - INFO - Epoch(train) [17][3420/3757] lr: 9.8063e-03 eta: 2 days, 18:58:33 time: 0.3974 data_time: 0.0158 memory: 17007 grad_norm: 4.6661 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1617 loss: 3.1617 2022/07/27 00:23:28 - mmengine - INFO - Epoch(train) [17][3440/3757] lr: 9.8063e-03 eta: 2 days, 18:58:25 time: 0.3950 data_time: 0.0165 memory: 17007 grad_norm: 4.6495 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5772 loss: 3.5772 2022/07/27 00:23:35 - mmengine - INFO - Epoch(train) [17][3460/3757] lr: 9.8063e-03 eta: 2 days, 18:58:17 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 4.7156 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.4007 loss: 3.4007 2022/07/27 00:23:43 - mmengine - INFO - Epoch(train) [17][3480/3757] lr: 9.8063e-03 eta: 2 days, 18:58:09 time: 0.3918 data_time: 0.0167 memory: 17007 grad_norm: 4.8167 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1668 loss: 3.1668 2022/07/27 00:23:51 - mmengine - INFO - Epoch(train) [17][3500/3757] lr: 9.8063e-03 eta: 2 days, 18:58:00 time: 0.3906 data_time: 0.0140 memory: 17007 grad_norm: 4.6592 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5728 loss: 3.5728 2022/07/27 00:23:59 - mmengine - INFO - Epoch(train) [17][3520/3757] lr: 9.8063e-03 eta: 2 days, 18:57:53 time: 0.3974 data_time: 0.0175 memory: 17007 grad_norm: 4.5856 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3230 loss: 3.3230 2022/07/27 00:24:07 - mmengine - INFO - Epoch(train) [17][3540/3757] lr: 9.8063e-03 eta: 2 days, 18:57:45 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 4.6801 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2127 loss: 3.2127 2022/07/27 00:24:15 - mmengine - INFO - Epoch(train) [17][3560/3757] lr: 9.8063e-03 eta: 2 days, 18:57:37 time: 0.3919 data_time: 0.0162 memory: 17007 grad_norm: 4.6919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0445 loss: 3.0445 2022/07/27 00:24:23 - mmengine - INFO - Epoch(train) [17][3580/3757] lr: 9.8063e-03 eta: 2 days, 18:57:29 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 4.7000 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2636 loss: 3.2636 2022/07/27 00:24:31 - mmengine - INFO - Epoch(train) [17][3600/3757] lr: 9.8063e-03 eta: 2 days, 18:57:21 time: 0.3964 data_time: 0.0158 memory: 17007 grad_norm: 4.6011 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8921 loss: 2.8921 2022/07/27 00:24:38 - mmengine - INFO - Epoch(train) [17][3620/3757] lr: 9.8063e-03 eta: 2 days, 18:57:14 time: 0.3974 data_time: 0.0165 memory: 17007 grad_norm: 4.6775 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.4872 loss: 3.4872 2022/07/27 00:24:46 - mmengine - INFO - Epoch(train) [17][3640/3757] lr: 9.8063e-03 eta: 2 days, 18:57:06 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 4.7300 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2094 loss: 3.2094 2022/07/27 00:24:54 - mmengine - INFO - Epoch(train) [17][3660/3757] lr: 9.8063e-03 eta: 2 days, 18:56:58 time: 0.3911 data_time: 0.0152 memory: 17007 grad_norm: 4.7115 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2323 loss: 3.2323 2022/07/27 00:25:02 - mmengine - INFO - Epoch(train) [17][3680/3757] lr: 9.8063e-03 eta: 2 days, 18:56:50 time: 0.3945 data_time: 0.0169 memory: 17007 grad_norm: 4.5753 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.2036 loss: 3.2036 2022/07/27 00:25:10 - mmengine - INFO - Epoch(train) [17][3700/3757] lr: 9.8063e-03 eta: 2 days, 18:56:42 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 4.5079 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1375 loss: 3.1375 2022/07/27 00:25:18 - mmengine - INFO - Epoch(train) [17][3720/3757] lr: 9.8063e-03 eta: 2 days, 18:56:34 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 4.6008 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1438 loss: 3.1438 2022/07/27 00:25:26 - mmengine - INFO - Epoch(train) [17][3740/3757] lr: 9.8063e-03 eta: 2 days, 18:56:26 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 4.7160 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5082 loss: 3.5082 2022/07/27 00:25:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:25:32 - mmengine - INFO - Epoch(train) [17][3757/3757] lr: 9.8063e-03 eta: 2 days, 18:56:26 time: 0.3882 data_time: 0.0163 memory: 17007 grad_norm: 4.7724 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 3.2115 loss: 3.2115 2022/07/27 00:25:32 - mmengine - INFO - Saving checkpoint at 17 epochs 2022/07/27 00:25:45 - mmengine - INFO - Epoch(train) [18][20/3757] lr: 9.7815e-03 eta: 2 days, 18:55:27 time: 0.4964 data_time: 0.1187 memory: 17007 grad_norm: 4.6158 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0323 loss: 3.0323 2022/07/27 00:25:53 - mmengine - INFO - Epoch(train) [18][40/3757] lr: 9.7815e-03 eta: 2 days, 18:55:19 time: 0.3950 data_time: 0.0193 memory: 17007 grad_norm: 4.7665 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1118 loss: 3.1118 2022/07/27 00:26:00 - mmengine - INFO - Epoch(train) [18][60/3757] lr: 9.7815e-03 eta: 2 days, 18:55:11 time: 0.3921 data_time: 0.0141 memory: 17007 grad_norm: 4.7365 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1181 loss: 3.1181 2022/07/27 00:26:08 - mmengine - INFO - Epoch(train) [18][80/3757] lr: 9.7815e-03 eta: 2 days, 18:55:03 time: 0.3942 data_time: 0.0163 memory: 17007 grad_norm: 4.7838 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0351 loss: 3.0351 2022/07/27 00:26:16 - mmengine - INFO - Epoch(train) [18][100/3757] lr: 9.7815e-03 eta: 2 days, 18:54:55 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 4.6765 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1747 loss: 3.1747 2022/07/27 00:26:24 - mmengine - INFO - Epoch(train) [18][120/3757] lr: 9.7815e-03 eta: 2 days, 18:54:47 time: 0.3918 data_time: 0.0155 memory: 17007 grad_norm: 4.7792 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8954 loss: 2.8954 2022/07/27 00:26:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:26:32 - mmengine - INFO - Epoch(train) [18][140/3757] lr: 9.7815e-03 eta: 2 days, 18:54:40 time: 0.3962 data_time: 0.0146 memory: 17007 grad_norm: 4.7391 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2456 loss: 3.2456 2022/07/27 00:26:40 - mmengine - INFO - Epoch(train) [18][160/3757] lr: 9.7815e-03 eta: 2 days, 18:54:32 time: 0.3910 data_time: 0.0146 memory: 17007 grad_norm: 4.7249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0755 loss: 3.0755 2022/07/27 00:26:48 - mmengine - INFO - Epoch(train) [18][180/3757] lr: 9.7815e-03 eta: 2 days, 18:54:24 time: 0.3936 data_time: 0.0139 memory: 17007 grad_norm: 4.6468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0765 loss: 3.0765 2022/07/27 00:26:56 - mmengine - INFO - Epoch(train) [18][200/3757] lr: 9.7815e-03 eta: 2 days, 18:54:16 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 4.6925 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1522 loss: 3.1522 2022/07/27 00:27:03 - mmengine - INFO - Epoch(train) [18][220/3757] lr: 9.7815e-03 eta: 2 days, 18:54:07 time: 0.3907 data_time: 0.0136 memory: 17007 grad_norm: 4.5918 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3570 loss: 3.3570 2022/07/27 00:27:11 - mmengine - INFO - Epoch(train) [18][240/3757] lr: 9.7815e-03 eta: 2 days, 18:54:00 time: 0.3963 data_time: 0.0168 memory: 17007 grad_norm: 4.4999 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9937 loss: 2.9937 2022/07/27 00:27:19 - mmengine - INFO - Epoch(train) [18][260/3757] lr: 9.7815e-03 eta: 2 days, 18:53:52 time: 0.3909 data_time: 0.0151 memory: 17007 grad_norm: 4.5823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1819 loss: 3.1819 2022/07/27 00:27:27 - mmengine - INFO - Epoch(train) [18][280/3757] lr: 9.7815e-03 eta: 2 days, 18:53:45 time: 0.3978 data_time: 0.0176 memory: 17007 grad_norm: 4.8053 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0377 loss: 3.0377 2022/07/27 00:27:35 - mmengine - INFO - Epoch(train) [18][300/3757] lr: 9.7815e-03 eta: 2 days, 18:53:36 time: 0.3916 data_time: 0.0144 memory: 17007 grad_norm: 4.5210 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0234 loss: 3.0234 2022/07/27 00:27:43 - mmengine - INFO - Epoch(train) [18][320/3757] lr: 9.7815e-03 eta: 2 days, 18:53:28 time: 0.3909 data_time: 0.0155 memory: 17007 grad_norm: 4.6197 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9292 loss: 2.9292 2022/07/27 00:27:51 - mmengine - INFO - Epoch(train) [18][340/3757] lr: 9.7815e-03 eta: 2 days, 18:53:20 time: 0.3929 data_time: 0.0136 memory: 17007 grad_norm: 4.5987 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1640 loss: 3.1640 2022/07/27 00:27:58 - mmengine - INFO - Epoch(train) [18][360/3757] lr: 9.7815e-03 eta: 2 days, 18:53:12 time: 0.3939 data_time: 0.0167 memory: 17007 grad_norm: 4.7323 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3238 loss: 3.3238 2022/07/27 00:28:06 - mmengine - INFO - Epoch(train) [18][380/3757] lr: 9.7815e-03 eta: 2 days, 18:53:04 time: 0.3913 data_time: 0.0135 memory: 17007 grad_norm: 4.7229 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1746 loss: 3.1746 2022/07/27 00:28:14 - mmengine - INFO - Epoch(train) [18][400/3757] lr: 9.7815e-03 eta: 2 days, 18:52:56 time: 0.3910 data_time: 0.0158 memory: 17007 grad_norm: 4.7670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0656 loss: 3.0656 2022/07/27 00:28:22 - mmengine - INFO - Epoch(train) [18][420/3757] lr: 9.7815e-03 eta: 2 days, 18:52:47 time: 0.3912 data_time: 0.0139 memory: 17007 grad_norm: 4.6807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8334 loss: 2.8334 2022/07/27 00:28:30 - mmengine - INFO - Epoch(train) [18][440/3757] lr: 9.7815e-03 eta: 2 days, 18:52:39 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 4.7890 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4339 loss: 3.4339 2022/07/27 00:28:38 - mmengine - INFO - Epoch(train) [18][460/3757] lr: 9.7815e-03 eta: 2 days, 18:52:31 time: 0.3911 data_time: 0.0144 memory: 17007 grad_norm: 4.6548 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4052 loss: 3.4052 2022/07/27 00:28:45 - mmengine - INFO - Epoch(train) [18][480/3757] lr: 9.7815e-03 eta: 2 days, 18:52:23 time: 0.3939 data_time: 0.0172 memory: 17007 grad_norm: 4.6669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2335 loss: 3.2335 2022/07/27 00:28:53 - mmengine - INFO - Epoch(train) [18][500/3757] lr: 9.7815e-03 eta: 2 days, 18:52:15 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 4.7387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3525 loss: 3.3525 2022/07/27 00:29:01 - mmengine - INFO - Epoch(train) [18][520/3757] lr: 9.7815e-03 eta: 2 days, 18:52:07 time: 0.3942 data_time: 0.0178 memory: 17007 grad_norm: 4.5446 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1888 loss: 3.1888 2022/07/27 00:29:09 - mmengine - INFO - Epoch(train) [18][540/3757] lr: 9.7815e-03 eta: 2 days, 18:51:59 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 4.7431 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5249 loss: 3.5249 2022/07/27 00:29:17 - mmengine - INFO - Epoch(train) [18][560/3757] lr: 9.7815e-03 eta: 2 days, 18:51:52 time: 0.3934 data_time: 0.0164 memory: 17007 grad_norm: 4.7335 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.6557 loss: 3.6557 2022/07/27 00:29:25 - mmengine - INFO - Epoch(train) [18][580/3757] lr: 9.7815e-03 eta: 2 days, 18:51:43 time: 0.3909 data_time: 0.0147 memory: 17007 grad_norm: 4.6483 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1423 loss: 3.1423 2022/07/27 00:29:33 - mmengine - INFO - Epoch(train) [18][600/3757] lr: 9.7815e-03 eta: 2 days, 18:51:35 time: 0.3930 data_time: 0.0177 memory: 17007 grad_norm: 4.5803 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8996 loss: 2.8996 2022/07/27 00:29:40 - mmengine - INFO - Epoch(train) [18][620/3757] lr: 9.7815e-03 eta: 2 days, 18:51:27 time: 0.3900 data_time: 0.0138 memory: 17007 grad_norm: 4.4589 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.6635 loss: 3.6635 2022/07/27 00:29:48 - mmengine - INFO - Epoch(train) [18][640/3757] lr: 9.7815e-03 eta: 2 days, 18:51:19 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 4.7723 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2467 loss: 3.2467 2022/07/27 00:29:56 - mmengine - INFO - Epoch(train) [18][660/3757] lr: 9.7815e-03 eta: 2 days, 18:51:13 time: 0.4022 data_time: 0.0136 memory: 17007 grad_norm: 4.7340 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9333 loss: 2.9333 2022/07/27 00:30:04 - mmengine - INFO - Epoch(train) [18][680/3757] lr: 9.7815e-03 eta: 2 days, 18:51:04 time: 0.3913 data_time: 0.0154 memory: 17007 grad_norm: 4.7934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2155 loss: 3.2155 2022/07/27 00:30:12 - mmengine - INFO - Epoch(train) [18][700/3757] lr: 9.7815e-03 eta: 2 days, 18:50:57 time: 0.3929 data_time: 0.0144 memory: 17007 grad_norm: 4.6549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2755 loss: 3.2755 2022/07/27 00:30:22 - mmengine - INFO - Epoch(train) [18][720/3757] lr: 9.7815e-03 eta: 2 days, 18:51:07 time: 0.4897 data_time: 0.0184 memory: 17007 grad_norm: 4.5432 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 3.1201 loss: 3.1201 2022/07/27 00:30:33 - mmengine - INFO - Epoch(train) [18][740/3757] lr: 9.7815e-03 eta: 2 days, 18:51:33 time: 0.5714 data_time: 0.0152 memory: 17007 grad_norm: 4.8109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0895 loss: 3.0895 2022/07/27 00:30:46 - mmengine - INFO - Epoch(train) [18][760/3757] lr: 9.7815e-03 eta: 2 days, 18:52:12 time: 0.6426 data_time: 0.0194 memory: 17007 grad_norm: 4.6065 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1783 loss: 3.1783 2022/07/27 00:30:58 - mmengine - INFO - Epoch(train) [18][780/3757] lr: 9.7815e-03 eta: 2 days, 18:52:39 time: 0.5805 data_time: 0.0193 memory: 17007 grad_norm: 4.5530 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.1659 loss: 3.1659 2022/07/27 00:31:09 - mmengine - INFO - Epoch(train) [18][800/3757] lr: 9.7815e-03 eta: 2 days, 18:53:00 time: 0.5460 data_time: 0.0122 memory: 17007 grad_norm: 4.7016 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0103 loss: 3.0103 2022/07/27 00:31:17 - mmengine - INFO - Epoch(train) [18][820/3757] lr: 9.7815e-03 eta: 2 days, 18:52:56 time: 0.4102 data_time: 0.0163 memory: 17007 grad_norm: 4.6784 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3296 loss: 3.3296 2022/07/27 00:31:25 - mmengine - INFO - Epoch(train) [18][840/3757] lr: 9.7815e-03 eta: 2 days, 18:52:47 time: 0.3886 data_time: 0.0136 memory: 17007 grad_norm: 4.6766 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0289 loss: 3.0289 2022/07/27 00:31:33 - mmengine - INFO - Epoch(train) [18][860/3757] lr: 9.7815e-03 eta: 2 days, 18:52:40 time: 0.3968 data_time: 0.0165 memory: 17007 grad_norm: 4.6416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0599 loss: 3.0599 2022/07/27 00:31:41 - mmengine - INFO - Epoch(train) [18][880/3757] lr: 9.7815e-03 eta: 2 days, 18:52:34 time: 0.4047 data_time: 0.0148 memory: 17007 grad_norm: 4.9643 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3502 loss: 3.3502 2022/07/27 00:31:49 - mmengine - INFO - Epoch(train) [18][900/3757] lr: 9.7815e-03 eta: 2 days, 18:52:28 time: 0.4052 data_time: 0.0169 memory: 17007 grad_norm: 4.9276 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4947 loss: 3.4947 2022/07/27 00:31:57 - mmengine - INFO - Epoch(train) [18][920/3757] lr: 9.7815e-03 eta: 2 days, 18:52:22 time: 0.4034 data_time: 0.0140 memory: 17007 grad_norm: 4.5833 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8574 loss: 2.8574 2022/07/27 00:32:05 - mmengine - INFO - Epoch(train) [18][940/3757] lr: 9.7815e-03 eta: 2 days, 18:52:14 time: 0.3915 data_time: 0.0170 memory: 17007 grad_norm: 4.6890 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1826 loss: 3.1826 2022/07/27 00:32:13 - mmengine - INFO - Epoch(train) [18][960/3757] lr: 9.7815e-03 eta: 2 days, 18:52:05 time: 0.3914 data_time: 0.0134 memory: 17007 grad_norm: 4.7331 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3017 loss: 3.3017 2022/07/27 00:32:20 - mmengine - INFO - Epoch(train) [18][980/3757] lr: 9.7815e-03 eta: 2 days, 18:51:58 time: 0.3943 data_time: 0.0178 memory: 17007 grad_norm: 4.7075 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2999 loss: 3.2999 2022/07/27 00:32:28 - mmengine - INFO - Epoch(train) [18][1000/3757] lr: 9.7815e-03 eta: 2 days, 18:51:49 time: 0.3918 data_time: 0.0128 memory: 17007 grad_norm: 4.6683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1012 loss: 3.1012 2022/07/27 00:32:36 - mmengine - INFO - Epoch(train) [18][1020/3757] lr: 9.7815e-03 eta: 2 days, 18:51:41 time: 0.3924 data_time: 0.0163 memory: 17007 grad_norm: 4.7740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1084 loss: 3.1084 2022/07/27 00:32:44 - mmengine - INFO - Epoch(train) [18][1040/3757] lr: 9.7815e-03 eta: 2 days, 18:51:33 time: 0.3903 data_time: 0.0130 memory: 17007 grad_norm: 4.9047 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0947 loss: 3.0947 2022/07/27 00:32:52 - mmengine - INFO - Epoch(train) [18][1060/3757] lr: 9.7815e-03 eta: 2 days, 18:51:25 time: 0.3919 data_time: 0.0165 memory: 17007 grad_norm: 4.6923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1630 loss: 3.1630 2022/07/27 00:33:00 - mmengine - INFO - Epoch(train) [18][1080/3757] lr: 9.7815e-03 eta: 2 days, 18:51:18 time: 0.3997 data_time: 0.0156 memory: 17007 grad_norm: 4.7937 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4154 loss: 3.4154 2022/07/27 00:33:08 - mmengine - INFO - Epoch(train) [18][1100/3757] lr: 9.7815e-03 eta: 2 days, 18:51:10 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 4.6609 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9695 loss: 2.9695 2022/07/27 00:33:15 - mmengine - INFO - Epoch(train) [18][1120/3757] lr: 9.7815e-03 eta: 2 days, 18:51:01 time: 0.3904 data_time: 0.0150 memory: 17007 grad_norm: 4.7498 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1658 loss: 3.1658 2022/07/27 00:33:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:33:23 - mmengine - INFO - Epoch(train) [18][1140/3757] lr: 9.7815e-03 eta: 2 days, 18:50:53 time: 0.3954 data_time: 0.0177 memory: 17007 grad_norm: 4.6170 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1906 loss: 3.1906 2022/07/27 00:33:31 - mmengine - INFO - Epoch(train) [18][1160/3757] lr: 9.7815e-03 eta: 2 days, 18:50:45 time: 0.3921 data_time: 0.0130 memory: 17007 grad_norm: 4.7014 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2140 loss: 3.2140 2022/07/27 00:33:39 - mmengine - INFO - Epoch(train) [18][1180/3757] lr: 9.7815e-03 eta: 2 days, 18:50:38 time: 0.3971 data_time: 0.0178 memory: 17007 grad_norm: 4.6894 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8575 loss: 2.8575 2022/07/27 00:33:47 - mmengine - INFO - Epoch(train) [18][1200/3757] lr: 9.7815e-03 eta: 2 days, 18:50:30 time: 0.3923 data_time: 0.0139 memory: 17007 grad_norm: 4.6964 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 3.2523 loss: 3.2523 2022/07/27 00:33:55 - mmengine - INFO - Epoch(train) [18][1220/3757] lr: 9.7815e-03 eta: 2 days, 18:50:22 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 4.6965 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2929 loss: 3.2929 2022/07/27 00:34:03 - mmengine - INFO - Epoch(train) [18][1240/3757] lr: 9.7815e-03 eta: 2 days, 18:50:14 time: 0.3937 data_time: 0.0134 memory: 17007 grad_norm: 4.7573 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1810 loss: 3.1810 2022/07/27 00:34:10 - mmengine - INFO - Epoch(train) [18][1260/3757] lr: 9.7815e-03 eta: 2 days, 18:50:06 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 4.7591 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0916 loss: 3.0916 2022/07/27 00:34:18 - mmengine - INFO - Epoch(train) [18][1280/3757] lr: 9.7815e-03 eta: 2 days, 18:49:59 time: 0.3989 data_time: 0.0144 memory: 17007 grad_norm: 4.7657 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9063 loss: 2.9063 2022/07/27 00:34:26 - mmengine - INFO - Epoch(train) [18][1300/3757] lr: 9.7815e-03 eta: 2 days, 18:49:51 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 4.5496 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1253 loss: 3.1253 2022/07/27 00:34:34 - mmengine - INFO - Epoch(train) [18][1320/3757] lr: 9.7815e-03 eta: 2 days, 18:49:42 time: 0.3904 data_time: 0.0148 memory: 17007 grad_norm: 4.6593 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3747 loss: 3.3747 2022/07/27 00:34:42 - mmengine - INFO - Epoch(train) [18][1340/3757] lr: 9.7815e-03 eta: 2 days, 18:49:34 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 4.8097 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1709 loss: 3.1709 2022/07/27 00:34:50 - mmengine - INFO - Epoch(train) [18][1360/3757] lr: 9.7815e-03 eta: 2 days, 18:49:26 time: 0.3918 data_time: 0.0133 memory: 17007 grad_norm: 4.7493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1044 loss: 3.1044 2022/07/27 00:34:58 - mmengine - INFO - Epoch(train) [18][1380/3757] lr: 9.7815e-03 eta: 2 days, 18:49:20 time: 0.4024 data_time: 0.0169 memory: 17007 grad_norm: 4.6814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1864 loss: 3.1864 2022/07/27 00:35:06 - mmengine - INFO - Epoch(train) [18][1400/3757] lr: 9.7815e-03 eta: 2 days, 18:49:11 time: 0.3906 data_time: 0.0123 memory: 17007 grad_norm: 4.7314 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0783 loss: 3.0783 2022/07/27 00:35:14 - mmengine - INFO - Epoch(train) [18][1420/3757] lr: 9.7815e-03 eta: 2 days, 18:49:03 time: 0.3925 data_time: 0.0172 memory: 17007 grad_norm: 4.5746 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3947 loss: 3.3947 2022/07/27 00:35:21 - mmengine - INFO - Epoch(train) [18][1440/3757] lr: 9.7815e-03 eta: 2 days, 18:48:55 time: 0.3914 data_time: 0.0133 memory: 17007 grad_norm: 4.8090 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8682 loss: 2.8682 2022/07/27 00:35:29 - mmengine - INFO - Epoch(train) [18][1460/3757] lr: 9.7815e-03 eta: 2 days, 18:48:46 time: 0.3908 data_time: 0.0155 memory: 17007 grad_norm: 4.8042 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1256 loss: 3.1256 2022/07/27 00:35:37 - mmengine - INFO - Epoch(train) [18][1480/3757] lr: 9.7815e-03 eta: 2 days, 18:48:38 time: 0.3919 data_time: 0.0139 memory: 17007 grad_norm: 4.7046 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1188 loss: 3.1188 2022/07/27 00:35:45 - mmengine - INFO - Epoch(train) [18][1500/3757] lr: 9.7815e-03 eta: 2 days, 18:48:30 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 4.8319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2851 loss: 3.2851 2022/07/27 00:35:53 - mmengine - INFO - Epoch(train) [18][1520/3757] lr: 9.7815e-03 eta: 2 days, 18:48:21 time: 0.3909 data_time: 0.0139 memory: 17007 grad_norm: 4.7472 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9439 loss: 2.9439 2022/07/27 00:36:01 - mmengine - INFO - Epoch(train) [18][1540/3757] lr: 9.7815e-03 eta: 2 days, 18:48:13 time: 0.3923 data_time: 0.0170 memory: 17007 grad_norm: 4.6638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0833 loss: 3.0833 2022/07/27 00:36:08 - mmengine - INFO - Epoch(train) [18][1560/3757] lr: 9.7815e-03 eta: 2 days, 18:48:05 time: 0.3898 data_time: 0.0127 memory: 17007 grad_norm: 4.7532 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0225 loss: 3.0225 2022/07/27 00:36:16 - mmengine - INFO - Epoch(train) [18][1580/3757] lr: 9.7815e-03 eta: 2 days, 18:47:57 time: 0.3951 data_time: 0.0175 memory: 17007 grad_norm: 4.6920 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0900 loss: 3.0900 2022/07/27 00:36:24 - mmengine - INFO - Epoch(train) [18][1600/3757] lr: 9.7815e-03 eta: 2 days, 18:47:48 time: 0.3891 data_time: 0.0138 memory: 17007 grad_norm: 4.7394 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8660 loss: 2.8660 2022/07/27 00:36:32 - mmengine - INFO - Epoch(train) [18][1620/3757] lr: 9.7815e-03 eta: 2 days, 18:47:40 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 4.6262 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4123 loss: 3.4123 2022/07/27 00:36:40 - mmengine - INFO - Epoch(train) [18][1640/3757] lr: 9.7815e-03 eta: 2 days, 18:47:33 time: 0.3943 data_time: 0.0156 memory: 17007 grad_norm: 4.6189 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8702 loss: 2.8702 2022/07/27 00:36:48 - mmengine - INFO - Epoch(train) [18][1660/3757] lr: 9.7815e-03 eta: 2 days, 18:47:24 time: 0.3916 data_time: 0.0153 memory: 17007 grad_norm: 4.6847 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8973 loss: 2.8973 2022/07/27 00:36:55 - mmengine - INFO - Epoch(train) [18][1680/3757] lr: 9.7815e-03 eta: 2 days, 18:47:16 time: 0.3906 data_time: 0.0148 memory: 17007 grad_norm: 4.8296 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1139 loss: 3.1139 2022/07/27 00:37:03 - mmengine - INFO - Epoch(train) [18][1700/3757] lr: 9.7815e-03 eta: 2 days, 18:47:08 time: 0.3957 data_time: 0.0177 memory: 17007 grad_norm: 4.8975 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0870 loss: 3.0870 2022/07/27 00:37:11 - mmengine - INFO - Epoch(train) [18][1720/3757] lr: 9.7815e-03 eta: 2 days, 18:47:00 time: 0.3901 data_time: 0.0132 memory: 17007 grad_norm: 4.7669 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3652 loss: 3.3652 2022/07/27 00:37:19 - mmengine - INFO - Epoch(train) [18][1740/3757] lr: 9.7815e-03 eta: 2 days, 18:46:53 time: 0.3966 data_time: 0.0183 memory: 17007 grad_norm: 4.6906 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.0704 loss: 3.0704 2022/07/27 00:37:27 - mmengine - INFO - Epoch(train) [18][1760/3757] lr: 9.7815e-03 eta: 2 days, 18:46:44 time: 0.3908 data_time: 0.0141 memory: 17007 grad_norm: 4.6842 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1526 loss: 3.1526 2022/07/27 00:37:35 - mmengine - INFO - Epoch(train) [18][1780/3757] lr: 9.7815e-03 eta: 2 days, 18:46:36 time: 0.3923 data_time: 0.0164 memory: 17007 grad_norm: 4.8358 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1182 loss: 3.1182 2022/07/27 00:37:43 - mmengine - INFO - Epoch(train) [18][1800/3757] lr: 9.7815e-03 eta: 2 days, 18:46:28 time: 0.3934 data_time: 0.0132 memory: 17007 grad_norm: 4.7817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2295 loss: 3.2295 2022/07/27 00:37:50 - mmengine - INFO - Epoch(train) [18][1820/3757] lr: 9.7815e-03 eta: 2 days, 18:46:20 time: 0.3908 data_time: 0.0151 memory: 17007 grad_norm: 4.8549 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2704 loss: 3.2704 2022/07/27 00:37:58 - mmengine - INFO - Epoch(train) [18][1840/3757] lr: 9.7815e-03 eta: 2 days, 18:46:12 time: 0.3934 data_time: 0.0145 memory: 17007 grad_norm: 4.7240 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2515 loss: 3.2515 2022/07/27 00:38:06 - mmengine - INFO - Epoch(train) [18][1860/3757] lr: 9.7815e-03 eta: 2 days, 18:46:04 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 4.8039 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0183 loss: 3.0183 2022/07/27 00:38:14 - mmengine - INFO - Epoch(train) [18][1880/3757] lr: 9.7815e-03 eta: 2 days, 18:45:55 time: 0.3895 data_time: 0.0138 memory: 17007 grad_norm: 4.6770 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2991 loss: 3.2991 2022/07/27 00:38:22 - mmengine - INFO - Epoch(train) [18][1900/3757] lr: 9.7815e-03 eta: 2 days, 18:45:47 time: 0.3938 data_time: 0.0164 memory: 17007 grad_norm: 4.6896 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9830 loss: 2.9830 2022/07/27 00:38:30 - mmengine - INFO - Epoch(train) [18][1920/3757] lr: 9.7815e-03 eta: 2 days, 18:45:39 time: 0.3912 data_time: 0.0132 memory: 17007 grad_norm: 4.6278 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1308 loss: 3.1308 2022/07/27 00:38:38 - mmengine - INFO - Epoch(train) [18][1940/3757] lr: 9.7815e-03 eta: 2 days, 18:45:32 time: 0.3960 data_time: 0.0184 memory: 17007 grad_norm: 4.6867 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9932 loss: 2.9932 2022/07/27 00:38:45 - mmengine - INFO - Epoch(train) [18][1960/3757] lr: 9.7815e-03 eta: 2 days, 18:45:23 time: 0.3900 data_time: 0.0136 memory: 17007 grad_norm: 4.7562 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3252 loss: 3.3252 2022/07/27 00:38:53 - mmengine - INFO - Epoch(train) [18][1980/3757] lr: 9.7815e-03 eta: 2 days, 18:45:16 time: 0.3971 data_time: 0.0159 memory: 17007 grad_norm: 4.7386 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0763 loss: 3.0763 2022/07/27 00:39:01 - mmengine - INFO - Epoch(train) [18][2000/3757] lr: 9.7815e-03 eta: 2 days, 18:45:07 time: 0.3906 data_time: 0.0138 memory: 17007 grad_norm: 4.7780 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2224 loss: 3.2224 2022/07/27 00:39:09 - mmengine - INFO - Epoch(train) [18][2020/3757] lr: 9.7815e-03 eta: 2 days, 18:44:59 time: 0.3916 data_time: 0.0160 memory: 17007 grad_norm: 4.6102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3393 loss: 3.3393 2022/07/27 00:39:17 - mmengine - INFO - Epoch(train) [18][2040/3757] lr: 9.7815e-03 eta: 2 days, 18:44:51 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 4.6947 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0326 loss: 3.0326 2022/07/27 00:39:25 - mmengine - INFO - Epoch(train) [18][2060/3757] lr: 9.7815e-03 eta: 2 days, 18:44:43 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 4.7239 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8502 loss: 2.8502 2022/07/27 00:39:33 - mmengine - INFO - Epoch(train) [18][2080/3757] lr: 9.7815e-03 eta: 2 days, 18:44:35 time: 0.3929 data_time: 0.0135 memory: 17007 grad_norm: 4.7233 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2678 loss: 3.2678 2022/07/27 00:39:40 - mmengine - INFO - Epoch(train) [18][2100/3757] lr: 9.7815e-03 eta: 2 days, 18:44:27 time: 0.3946 data_time: 0.0171 memory: 17007 grad_norm: 4.6990 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6044 loss: 3.6044 2022/07/27 00:39:48 - mmengine - INFO - Epoch(train) [18][2120/3757] lr: 9.7815e-03 eta: 2 days, 18:44:19 time: 0.3961 data_time: 0.0135 memory: 17007 grad_norm: 4.6928 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1355 loss: 3.1355 2022/07/27 00:39:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:39:56 - mmengine - INFO - Epoch(train) [18][2140/3757] lr: 9.7815e-03 eta: 2 days, 18:44:11 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 4.7427 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2594 loss: 3.2594 2022/07/27 00:40:04 - mmengine - INFO - Epoch(train) [18][2160/3757] lr: 9.7815e-03 eta: 2 days, 18:44:04 time: 0.3934 data_time: 0.0133 memory: 17007 grad_norm: 4.8623 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9628 loss: 2.9628 2022/07/27 00:40:12 - mmengine - INFO - Epoch(train) [18][2180/3757] lr: 9.7815e-03 eta: 2 days, 18:43:56 time: 0.3959 data_time: 0.0160 memory: 17007 grad_norm: 4.7500 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5350 loss: 3.5350 2022/07/27 00:40:20 - mmengine - INFO - Epoch(train) [18][2200/3757] lr: 9.7815e-03 eta: 2 days, 18:43:50 time: 0.4018 data_time: 0.0148 memory: 17007 grad_norm: 4.4772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.2359 loss: 3.2359 2022/07/27 00:40:28 - mmengine - INFO - Epoch(train) [18][2220/3757] lr: 9.7815e-03 eta: 2 days, 18:43:42 time: 0.3952 data_time: 0.0163 memory: 17007 grad_norm: 4.7083 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4823 loss: 3.4823 2022/07/27 00:40:36 - mmengine - INFO - Epoch(train) [18][2240/3757] lr: 9.7815e-03 eta: 2 days, 18:43:34 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 4.7623 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1397 loss: 3.1397 2022/07/27 00:40:44 - mmengine - INFO - Epoch(train) [18][2260/3757] lr: 9.7815e-03 eta: 2 days, 18:43:28 time: 0.4022 data_time: 0.0177 memory: 17007 grad_norm: 4.8629 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2114 loss: 3.2114 2022/07/27 00:40:52 - mmengine - INFO - Epoch(train) [18][2280/3757] lr: 9.7815e-03 eta: 2 days, 18:43:19 time: 0.3908 data_time: 0.0133 memory: 17007 grad_norm: 4.7322 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1415 loss: 3.1415 2022/07/27 00:41:00 - mmengine - INFO - Epoch(train) [18][2300/3757] lr: 9.7815e-03 eta: 2 days, 18:43:12 time: 0.3958 data_time: 0.0176 memory: 17007 grad_norm: 4.9724 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3389 loss: 3.3389 2022/07/27 00:41:07 - mmengine - INFO - Epoch(train) [18][2320/3757] lr: 9.7815e-03 eta: 2 days, 18:43:04 time: 0.3940 data_time: 0.0131 memory: 17007 grad_norm: 4.8369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.9747 loss: 2.9747 2022/07/27 00:41:15 - mmengine - INFO - Epoch(train) [18][2340/3757] lr: 9.7815e-03 eta: 2 days, 18:42:56 time: 0.3922 data_time: 0.0162 memory: 17007 grad_norm: 4.6987 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2664 loss: 3.2664 2022/07/27 00:41:23 - mmengine - INFO - Epoch(train) [18][2360/3757] lr: 9.7815e-03 eta: 2 days, 18:42:48 time: 0.3927 data_time: 0.0163 memory: 17007 grad_norm: 4.8103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0545 loss: 3.0545 2022/07/27 00:41:31 - mmengine - INFO - Epoch(train) [18][2380/3757] lr: 9.7815e-03 eta: 2 days, 18:42:41 time: 0.4000 data_time: 0.0164 memory: 17007 grad_norm: 4.6675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2420 loss: 3.2420 2022/07/27 00:41:39 - mmengine - INFO - Epoch(train) [18][2400/3757] lr: 9.7815e-03 eta: 2 days, 18:42:33 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 4.6379 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4585 loss: 3.4585 2022/07/27 00:41:47 - mmengine - INFO - Epoch(train) [18][2420/3757] lr: 9.7815e-03 eta: 2 days, 18:42:26 time: 0.4004 data_time: 0.0158 memory: 17007 grad_norm: 4.6642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0092 loss: 3.0092 2022/07/27 00:41:55 - mmengine - INFO - Epoch(train) [18][2440/3757] lr: 9.7815e-03 eta: 2 days, 18:42:17 time: 0.3886 data_time: 0.0136 memory: 17007 grad_norm: 4.8454 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5226 loss: 3.5226 2022/07/27 00:42:03 - mmengine - INFO - Epoch(train) [18][2460/3757] lr: 9.7815e-03 eta: 2 days, 18:42:09 time: 0.3925 data_time: 0.0165 memory: 17007 grad_norm: 4.7713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2526 loss: 3.2526 2022/07/27 00:42:11 - mmengine - INFO - Epoch(train) [18][2480/3757] lr: 9.7815e-03 eta: 2 days, 18:42:02 time: 0.3942 data_time: 0.0139 memory: 17007 grad_norm: 4.7604 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0810 loss: 3.0810 2022/07/27 00:42:18 - mmengine - INFO - Epoch(train) [18][2500/3757] lr: 9.7815e-03 eta: 2 days, 18:41:54 time: 0.3930 data_time: 0.0167 memory: 17007 grad_norm: 4.6152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.1039 loss: 3.1039 2022/07/27 00:42:26 - mmengine - INFO - Epoch(train) [18][2520/3757] lr: 9.7815e-03 eta: 2 days, 18:41:45 time: 0.3909 data_time: 0.0135 memory: 17007 grad_norm: 4.5519 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6687 loss: 2.6687 2022/07/27 00:42:34 - mmengine - INFO - Epoch(train) [18][2540/3757] lr: 9.7815e-03 eta: 2 days, 18:41:37 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 4.7559 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3410 loss: 3.3410 2022/07/27 00:42:42 - mmengine - INFO - Epoch(train) [18][2560/3757] lr: 9.7815e-03 eta: 2 days, 18:41:29 time: 0.3924 data_time: 0.0136 memory: 17007 grad_norm: 4.7650 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3433 loss: 3.3433 2022/07/27 00:42:50 - mmengine - INFO - Epoch(train) [18][2580/3757] lr: 9.7815e-03 eta: 2 days, 18:41:21 time: 0.3935 data_time: 0.0168 memory: 17007 grad_norm: 4.6465 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0048 loss: 3.0048 2022/07/27 00:42:58 - mmengine - INFO - Epoch(train) [18][2600/3757] lr: 9.7815e-03 eta: 2 days, 18:41:13 time: 0.3914 data_time: 0.0143 memory: 17007 grad_norm: 4.6956 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0294 loss: 3.0294 2022/07/27 00:43:05 - mmengine - INFO - Epoch(train) [18][2620/3757] lr: 9.7815e-03 eta: 2 days, 18:41:05 time: 0.3914 data_time: 0.0167 memory: 17007 grad_norm: 4.6264 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1980 loss: 3.1980 2022/07/27 00:43:13 - mmengine - INFO - Epoch(train) [18][2640/3757] lr: 9.7815e-03 eta: 2 days, 18:40:57 time: 0.3970 data_time: 0.0134 memory: 17007 grad_norm: 4.6221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2717 loss: 3.2717 2022/07/27 00:43:21 - mmengine - INFO - Epoch(train) [18][2660/3757] lr: 9.7815e-03 eta: 2 days, 18:40:49 time: 0.3920 data_time: 0.0170 memory: 17007 grad_norm: 4.6500 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1182 loss: 3.1182 2022/07/27 00:43:29 - mmengine - INFO - Epoch(train) [18][2680/3757] lr: 9.7815e-03 eta: 2 days, 18:40:41 time: 0.3919 data_time: 0.0137 memory: 17007 grad_norm: 4.6651 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2172 loss: 3.2172 2022/07/27 00:43:37 - mmengine - INFO - Epoch(train) [18][2700/3757] lr: 9.7815e-03 eta: 2 days, 18:40:33 time: 0.3932 data_time: 0.0167 memory: 17007 grad_norm: 4.6887 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0663 loss: 3.0663 2022/07/27 00:43:45 - mmengine - INFO - Epoch(train) [18][2720/3757] lr: 9.7815e-03 eta: 2 days, 18:40:24 time: 0.3901 data_time: 0.0144 memory: 17007 grad_norm: 4.7452 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2872 loss: 3.2872 2022/07/27 00:43:53 - mmengine - INFO - Epoch(train) [18][2740/3757] lr: 9.7815e-03 eta: 2 days, 18:40:16 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 4.5765 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8989 loss: 2.8989 2022/07/27 00:44:00 - mmengine - INFO - Epoch(train) [18][2760/3757] lr: 9.7815e-03 eta: 2 days, 18:40:08 time: 0.3929 data_time: 0.0148 memory: 17007 grad_norm: 4.5800 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0916 loss: 3.0916 2022/07/27 00:44:08 - mmengine - INFO - Epoch(train) [18][2780/3757] lr: 9.7815e-03 eta: 2 days, 18:40:01 time: 0.3988 data_time: 0.0164 memory: 17007 grad_norm: 4.5855 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0032 loss: 3.0032 2022/07/27 00:44:16 - mmengine - INFO - Epoch(train) [18][2800/3757] lr: 9.7815e-03 eta: 2 days, 18:39:53 time: 0.3902 data_time: 0.0144 memory: 17007 grad_norm: 4.6132 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2538 loss: 3.2538 2022/07/27 00:44:24 - mmengine - INFO - Epoch(train) [18][2820/3757] lr: 9.7815e-03 eta: 2 days, 18:39:45 time: 0.3942 data_time: 0.0169 memory: 17007 grad_norm: 4.7594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.3219 loss: 3.3219 2022/07/27 00:44:32 - mmengine - INFO - Epoch(train) [18][2840/3757] lr: 9.7815e-03 eta: 2 days, 18:39:37 time: 0.3924 data_time: 0.0133 memory: 17007 grad_norm: 4.6733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9769 loss: 2.9769 2022/07/27 00:44:40 - mmengine - INFO - Epoch(train) [18][2860/3757] lr: 9.7815e-03 eta: 2 days, 18:39:29 time: 0.3923 data_time: 0.0165 memory: 17007 grad_norm: 4.7240 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0081 loss: 3.0081 2022/07/27 00:44:48 - mmengine - INFO - Epoch(train) [18][2880/3757] lr: 9.7815e-03 eta: 2 days, 18:39:20 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 4.6174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1467 loss: 3.1467 2022/07/27 00:44:55 - mmengine - INFO - Epoch(train) [18][2900/3757] lr: 9.7815e-03 eta: 2 days, 18:39:12 time: 0.3915 data_time: 0.0161 memory: 17007 grad_norm: 4.6731 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3957 loss: 3.3957 2022/07/27 00:45:03 - mmengine - INFO - Epoch(train) [18][2920/3757] lr: 9.7815e-03 eta: 2 days, 18:39:04 time: 0.3920 data_time: 0.0145 memory: 17007 grad_norm: 4.6363 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0135 loss: 3.0135 2022/07/27 00:45:11 - mmengine - INFO - Epoch(train) [18][2940/3757] lr: 9.7815e-03 eta: 2 days, 18:38:56 time: 0.3949 data_time: 0.0175 memory: 17007 grad_norm: 4.7888 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1843 loss: 3.1843 2022/07/27 00:45:19 - mmengine - INFO - Epoch(train) [18][2960/3757] lr: 9.7815e-03 eta: 2 days, 18:38:48 time: 0.3917 data_time: 0.0136 memory: 17007 grad_norm: 4.8683 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2342 loss: 3.2342 2022/07/27 00:45:27 - mmengine - INFO - Epoch(train) [18][2980/3757] lr: 9.7815e-03 eta: 2 days, 18:38:40 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 4.6985 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8300 loss: 2.8300 2022/07/27 00:45:35 - mmengine - INFO - Epoch(train) [18][3000/3757] lr: 9.7815e-03 eta: 2 days, 18:38:32 time: 0.3909 data_time: 0.0145 memory: 17007 grad_norm: 4.7184 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2164 loss: 3.2164 2022/07/27 00:45:43 - mmengine - INFO - Epoch(train) [18][3020/3757] lr: 9.7815e-03 eta: 2 days, 18:38:24 time: 0.3937 data_time: 0.0165 memory: 17007 grad_norm: 4.7663 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8715 loss: 2.8715 2022/07/27 00:45:50 - mmengine - INFO - Epoch(train) [18][3040/3757] lr: 9.7815e-03 eta: 2 days, 18:38:15 time: 0.3913 data_time: 0.0146 memory: 17007 grad_norm: 4.5676 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4712 loss: 3.4712 2022/07/27 00:45:58 - mmengine - INFO - Epoch(train) [18][3060/3757] lr: 9.7815e-03 eta: 2 days, 18:38:08 time: 0.3942 data_time: 0.0171 memory: 17007 grad_norm: 4.8753 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2919 loss: 3.2919 2022/07/27 00:46:06 - mmengine - INFO - Epoch(train) [18][3080/3757] lr: 9.7815e-03 eta: 2 days, 18:37:59 time: 0.3885 data_time: 0.0124 memory: 17007 grad_norm: 4.7581 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2746 loss: 3.2746 2022/07/27 00:46:14 - mmengine - INFO - Epoch(train) [18][3100/3757] lr: 9.7815e-03 eta: 2 days, 18:37:52 time: 0.4002 data_time: 0.0167 memory: 17007 grad_norm: 4.7279 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1963 loss: 3.1963 2022/07/27 00:46:22 - mmengine - INFO - Epoch(train) [18][3120/3757] lr: 9.7815e-03 eta: 2 days, 18:37:44 time: 0.3911 data_time: 0.0142 memory: 17007 grad_norm: 4.7349 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1715 loss: 3.1715 2022/07/27 00:46:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:46:30 - mmengine - INFO - Epoch(train) [18][3140/3757] lr: 9.7815e-03 eta: 2 days, 18:37:36 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 4.7942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1164 loss: 3.1164 2022/07/27 00:46:38 - mmengine - INFO - Epoch(train) [18][3160/3757] lr: 9.7815e-03 eta: 2 days, 18:37:28 time: 0.3924 data_time: 0.0147 memory: 17007 grad_norm: 4.7312 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1705 loss: 3.1705 2022/07/27 00:46:45 - mmengine - INFO - Epoch(train) [18][3180/3757] lr: 9.7815e-03 eta: 2 days, 18:37:19 time: 0.3915 data_time: 0.0161 memory: 17007 grad_norm: 4.6952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9303 loss: 2.9303 2022/07/27 00:46:53 - mmengine - INFO - Epoch(train) [18][3200/3757] lr: 9.7815e-03 eta: 2 days, 18:37:11 time: 0.3918 data_time: 0.0140 memory: 17007 grad_norm: 4.6579 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1097 loss: 3.1097 2022/07/27 00:47:01 - mmengine - INFO - Epoch(train) [18][3220/3757] lr: 9.7815e-03 eta: 2 days, 18:37:03 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 4.9003 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3319 loss: 3.3319 2022/07/27 00:47:09 - mmengine - INFO - Epoch(train) [18][3240/3757] lr: 9.7815e-03 eta: 2 days, 18:36:55 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 4.6637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1761 loss: 3.1761 2022/07/27 00:47:17 - mmengine - INFO - Epoch(train) [18][3260/3757] lr: 9.7815e-03 eta: 2 days, 18:36:47 time: 0.3915 data_time: 0.0156 memory: 17007 grad_norm: 4.6868 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3430 loss: 3.3430 2022/07/27 00:47:25 - mmengine - INFO - Epoch(train) [18][3280/3757] lr: 9.7815e-03 eta: 2 days, 18:36:38 time: 0.3908 data_time: 0.0136 memory: 17007 grad_norm: 4.6908 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0915 loss: 3.0915 2022/07/27 00:47:33 - mmengine - INFO - Epoch(train) [18][3300/3757] lr: 9.7815e-03 eta: 2 days, 18:36:32 time: 0.4013 data_time: 0.0161 memory: 17007 grad_norm: 4.8431 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1680 loss: 3.1680 2022/07/27 00:47:41 - mmengine - INFO - Epoch(train) [18][3320/3757] lr: 9.7815e-03 eta: 2 days, 18:36:23 time: 0.3912 data_time: 0.0129 memory: 17007 grad_norm: 4.5682 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9634 loss: 2.9634 2022/07/27 00:47:48 - mmengine - INFO - Epoch(train) [18][3340/3757] lr: 9.7815e-03 eta: 2 days, 18:36:15 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 4.7436 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2444 loss: 3.2444 2022/07/27 00:47:56 - mmengine - INFO - Epoch(train) [18][3360/3757] lr: 9.7815e-03 eta: 2 days, 18:36:07 time: 0.3904 data_time: 0.0130 memory: 17007 grad_norm: 4.8344 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3215 loss: 3.3215 2022/07/27 00:48:04 - mmengine - INFO - Epoch(train) [18][3380/3757] lr: 9.7815e-03 eta: 2 days, 18:35:59 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 4.6408 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9726 loss: 2.9726 2022/07/27 00:48:12 - mmengine - INFO - Epoch(train) [18][3400/3757] lr: 9.7815e-03 eta: 2 days, 18:35:51 time: 0.3905 data_time: 0.0139 memory: 17007 grad_norm: 4.8602 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3809 loss: 3.3809 2022/07/27 00:48:20 - mmengine - INFO - Epoch(train) [18][3420/3757] lr: 9.7815e-03 eta: 2 days, 18:35:43 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 4.7987 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1749 loss: 3.1749 2022/07/27 00:48:28 - mmengine - INFO - Epoch(train) [18][3440/3757] lr: 9.7815e-03 eta: 2 days, 18:35:34 time: 0.3906 data_time: 0.0140 memory: 17007 grad_norm: 4.8160 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2941 loss: 3.2941 2022/07/27 00:48:35 - mmengine - INFO - Epoch(train) [18][3460/3757] lr: 9.7815e-03 eta: 2 days, 18:35:26 time: 0.3925 data_time: 0.0167 memory: 17007 grad_norm: 4.6326 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.2848 loss: 3.2848 2022/07/27 00:48:43 - mmengine - INFO - Epoch(train) [18][3480/3757] lr: 9.7815e-03 eta: 2 days, 18:35:18 time: 0.3937 data_time: 0.0127 memory: 17007 grad_norm: 4.7391 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9574 loss: 2.9574 2022/07/27 00:48:51 - mmengine - INFO - Epoch(train) [18][3500/3757] lr: 9.7815e-03 eta: 2 days, 18:35:11 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 4.8288 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0833 loss: 3.0833 2022/07/27 00:48:59 - mmengine - INFO - Epoch(train) [18][3520/3757] lr: 9.7815e-03 eta: 2 days, 18:35:04 time: 0.3967 data_time: 0.0153 memory: 17007 grad_norm: 4.8819 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.5134 loss: 3.5134 2022/07/27 00:49:07 - mmengine - INFO - Epoch(train) [18][3540/3757] lr: 9.7815e-03 eta: 2 days, 18:34:56 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 4.8025 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0685 loss: 3.0685 2022/07/27 00:49:15 - mmengine - INFO - Epoch(train) [18][3560/3757] lr: 9.7815e-03 eta: 2 days, 18:34:47 time: 0.3910 data_time: 0.0132 memory: 17007 grad_norm: 4.6095 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2498 loss: 3.2498 2022/07/27 00:49:23 - mmengine - INFO - Epoch(train) [18][3580/3757] lr: 9.7815e-03 eta: 2 days, 18:34:42 time: 0.4076 data_time: 0.0188 memory: 17007 grad_norm: 4.7602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1940 loss: 3.1940 2022/07/27 00:49:31 - mmengine - INFO - Epoch(train) [18][3600/3757] lr: 9.7815e-03 eta: 2 days, 18:34:34 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 4.7960 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1531 loss: 3.1531 2022/07/27 00:49:39 - mmengine - INFO - Epoch(train) [18][3620/3757] lr: 9.7815e-03 eta: 2 days, 18:34:26 time: 0.3945 data_time: 0.0169 memory: 17007 grad_norm: 4.6645 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1867 loss: 3.1867 2022/07/27 00:49:47 - mmengine - INFO - Epoch(train) [18][3640/3757] lr: 9.7815e-03 eta: 2 days, 18:34:18 time: 0.3912 data_time: 0.0144 memory: 17007 grad_norm: 4.6846 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1161 loss: 3.1161 2022/07/27 00:49:54 - mmengine - INFO - Epoch(train) [18][3660/3757] lr: 9.7815e-03 eta: 2 days, 18:34:09 time: 0.3920 data_time: 0.0163 memory: 17007 grad_norm: 4.7639 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0558 loss: 3.0558 2022/07/27 00:50:02 - mmengine - INFO - Epoch(train) [18][3680/3757] lr: 9.7815e-03 eta: 2 days, 18:34:02 time: 0.3964 data_time: 0.0159 memory: 17007 grad_norm: 4.8425 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2734 loss: 3.2734 2022/07/27 00:50:10 - mmengine - INFO - Epoch(train) [18][3700/3757] lr: 9.7815e-03 eta: 2 days, 18:33:54 time: 0.3911 data_time: 0.0161 memory: 17007 grad_norm: 4.6460 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2505 loss: 3.2505 2022/07/27 00:50:18 - mmengine - INFO - Epoch(train) [18][3720/3757] lr: 9.7815e-03 eta: 2 days, 18:33:47 time: 0.4010 data_time: 0.0140 memory: 17007 grad_norm: 4.6252 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9671 loss: 2.9671 2022/07/27 00:50:26 - mmengine - INFO - Epoch(train) [18][3740/3757] lr: 9.7815e-03 eta: 2 days, 18:33:39 time: 0.3914 data_time: 0.0162 memory: 17007 grad_norm: 4.6220 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0076 loss: 3.0076 2022/07/27 00:50:33 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:50:33 - mmengine - INFO - Epoch(train) [18][3757/3757] lr: 9.7815e-03 eta: 2 days, 18:33:39 time: 0.3913 data_time: 0.0152 memory: 17007 grad_norm: 4.6913 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.2713 loss: 3.2713 2022/07/27 00:50:33 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/07/27 00:50:43 - mmengine - INFO - Epoch(train) [19][20/3757] lr: 9.7553e-03 eta: 2 days, 18:32:34 time: 0.4471 data_time: 0.0695 memory: 17007 grad_norm: 4.7662 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2124 loss: 3.2124 2022/07/27 00:50:51 - mmengine - INFO - Epoch(train) [19][40/3757] lr: 9.7553e-03 eta: 2 days, 18:32:28 time: 0.4061 data_time: 0.0166 memory: 17007 grad_norm: 4.6457 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1402 loss: 3.1402 2022/07/27 00:50:59 - mmengine - INFO - Epoch(train) [19][60/3757] lr: 9.7553e-03 eta: 2 days, 18:32:20 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 4.7109 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1949 loss: 3.1949 2022/07/27 00:51:07 - mmengine - INFO - Epoch(train) [19][80/3757] lr: 9.7553e-03 eta: 2 days, 18:32:12 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 4.7591 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1820 loss: 3.1820 2022/07/27 00:51:15 - mmengine - INFO - Epoch(train) [19][100/3757] lr: 9.7553e-03 eta: 2 days, 18:32:04 time: 0.3927 data_time: 0.0139 memory: 17007 grad_norm: 4.7431 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2109 loss: 3.2109 2022/07/27 00:51:23 - mmengine - INFO - Epoch(train) [19][120/3757] lr: 9.7553e-03 eta: 2 days, 18:31:56 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 4.8221 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0082 loss: 3.0082 2022/07/27 00:51:31 - mmengine - INFO - Epoch(train) [19][140/3757] lr: 9.7553e-03 eta: 2 days, 18:31:49 time: 0.3942 data_time: 0.0146 memory: 17007 grad_norm: 4.6919 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0490 loss: 3.0490 2022/07/27 00:51:39 - mmengine - INFO - Epoch(train) [19][160/3757] lr: 9.7553e-03 eta: 2 days, 18:31:41 time: 0.3936 data_time: 0.0171 memory: 17007 grad_norm: 4.8411 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0261 loss: 3.0261 2022/07/27 00:51:47 - mmengine - INFO - Epoch(train) [19][180/3757] lr: 9.7553e-03 eta: 2 days, 18:31:33 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 4.7461 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0805 loss: 3.0805 2022/07/27 00:51:55 - mmengine - INFO - Epoch(train) [19][200/3757] lr: 9.7553e-03 eta: 2 days, 18:31:26 time: 0.3983 data_time: 0.0167 memory: 17007 grad_norm: 4.9335 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9239 loss: 2.9239 2022/07/27 00:52:02 - mmengine - INFO - Epoch(train) [19][220/3757] lr: 9.7553e-03 eta: 2 days, 18:31:18 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 4.7859 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9430 loss: 2.9430 2022/07/27 00:52:10 - mmengine - INFO - Epoch(train) [19][240/3757] lr: 9.7553e-03 eta: 2 days, 18:31:09 time: 0.3917 data_time: 0.0166 memory: 17007 grad_norm: 4.8010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0373 loss: 3.0373 2022/07/27 00:52:18 - mmengine - INFO - Epoch(train) [19][260/3757] lr: 9.7553e-03 eta: 2 days, 18:31:02 time: 0.3938 data_time: 0.0162 memory: 17007 grad_norm: 4.7164 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0315 loss: 3.0315 2022/07/27 00:52:26 - mmengine - INFO - Epoch(train) [19][280/3757] lr: 9.7553e-03 eta: 2 days, 18:30:53 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 4.6909 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9872 loss: 2.9872 2022/07/27 00:52:34 - mmengine - INFO - Epoch(train) [19][300/3757] lr: 9.7553e-03 eta: 2 days, 18:30:45 time: 0.3911 data_time: 0.0155 memory: 17007 grad_norm: 4.7935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0123 loss: 3.0123 2022/07/27 00:52:42 - mmengine - INFO - Epoch(train) [19][320/3757] lr: 9.7553e-03 eta: 2 days, 18:30:37 time: 0.3915 data_time: 0.0160 memory: 17007 grad_norm: 4.8102 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1578 loss: 3.1578 2022/07/27 00:52:50 - mmengine - INFO - Epoch(train) [19][340/3757] lr: 9.7553e-03 eta: 2 days, 18:30:30 time: 0.3978 data_time: 0.0162 memory: 17007 grad_norm: 4.8437 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2408 loss: 3.2408 2022/07/27 00:52:57 - mmengine - INFO - Epoch(train) [19][360/3757] lr: 9.7553e-03 eta: 2 days, 18:30:21 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 4.8039 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0827 loss: 3.0827 2022/07/27 00:53:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:53:05 - mmengine - INFO - Epoch(train) [19][380/3757] lr: 9.7553e-03 eta: 2 days, 18:30:13 time: 0.3899 data_time: 0.0145 memory: 17007 grad_norm: 4.7126 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0762 loss: 3.0762 2022/07/27 00:53:13 - mmengine - INFO - Epoch(train) [19][400/3757] lr: 9.7553e-03 eta: 2 days, 18:30:06 time: 0.4018 data_time: 0.0161 memory: 17007 grad_norm: 4.6101 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9571 loss: 2.9571 2022/07/27 00:53:21 - mmengine - INFO - Epoch(train) [19][420/3757] lr: 9.7553e-03 eta: 2 days, 18:29:58 time: 0.3920 data_time: 0.0148 memory: 17007 grad_norm: 4.7813 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1440 loss: 3.1440 2022/07/27 00:53:29 - mmengine - INFO - Epoch(train) [19][440/3757] lr: 9.7553e-03 eta: 2 days, 18:29:52 time: 0.3996 data_time: 0.0169 memory: 17007 grad_norm: 4.7982 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9265 loss: 2.9265 2022/07/27 00:53:37 - mmengine - INFO - Epoch(train) [19][460/3757] lr: 9.7553e-03 eta: 2 days, 18:29:43 time: 0.3908 data_time: 0.0147 memory: 17007 grad_norm: 4.8277 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1453 loss: 3.1453 2022/07/27 00:53:45 - mmengine - INFO - Epoch(train) [19][480/3757] lr: 9.7553e-03 eta: 2 days, 18:29:35 time: 0.3926 data_time: 0.0175 memory: 17007 grad_norm: 4.8113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8723 loss: 2.8723 2022/07/27 00:53:53 - mmengine - INFO - Epoch(train) [19][500/3757] lr: 9.7553e-03 eta: 2 days, 18:29:27 time: 0.3927 data_time: 0.0142 memory: 17007 grad_norm: 4.8126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0329 loss: 3.0329 2022/07/27 00:54:00 - mmengine - INFO - Epoch(train) [19][520/3757] lr: 9.7553e-03 eta: 2 days, 18:29:19 time: 0.3926 data_time: 0.0179 memory: 17007 grad_norm: 4.6293 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2151 loss: 3.2151 2022/07/27 00:54:08 - mmengine - INFO - Epoch(train) [19][540/3757] lr: 9.7553e-03 eta: 2 days, 18:29:11 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 4.6210 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0137 loss: 3.0137 2022/07/27 00:54:16 - mmengine - INFO - Epoch(train) [19][560/3757] lr: 9.7553e-03 eta: 2 days, 18:29:03 time: 0.3915 data_time: 0.0170 memory: 17007 grad_norm: 4.8094 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0137 loss: 3.0137 2022/07/27 00:54:24 - mmengine - INFO - Epoch(train) [19][580/3757] lr: 9.7553e-03 eta: 2 days, 18:28:55 time: 0.3902 data_time: 0.0145 memory: 17007 grad_norm: 4.8896 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9851 loss: 2.9851 2022/07/27 00:54:32 - mmengine - INFO - Epoch(train) [19][600/3757] lr: 9.7553e-03 eta: 2 days, 18:28:51 time: 0.4167 data_time: 0.0158 memory: 17007 grad_norm: 4.8605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3665 loss: 3.3665 2022/07/27 00:54:40 - mmengine - INFO - Epoch(train) [19][620/3757] lr: 9.7553e-03 eta: 2 days, 18:28:43 time: 0.3923 data_time: 0.0159 memory: 17007 grad_norm: 4.7380 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8999 loss: 2.8999 2022/07/27 00:54:48 - mmengine - INFO - Epoch(train) [19][640/3757] lr: 9.7553e-03 eta: 2 days, 18:28:35 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 4.7477 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0309 loss: 3.0309 2022/07/27 00:54:56 - mmengine - INFO - Epoch(train) [19][660/3757] lr: 9.7553e-03 eta: 2 days, 18:28:27 time: 0.3911 data_time: 0.0155 memory: 17007 grad_norm: 4.8036 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8999 loss: 2.8999 2022/07/27 00:55:04 - mmengine - INFO - Epoch(train) [19][680/3757] lr: 9.7553e-03 eta: 2 days, 18:28:18 time: 0.3921 data_time: 0.0163 memory: 17007 grad_norm: 4.7394 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3054 loss: 3.3054 2022/07/27 00:55:12 - mmengine - INFO - Epoch(train) [19][700/3757] lr: 9.7553e-03 eta: 2 days, 18:28:10 time: 0.3921 data_time: 0.0149 memory: 17007 grad_norm: 4.6813 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9893 loss: 2.9893 2022/07/27 00:55:19 - mmengine - INFO - Epoch(train) [19][720/3757] lr: 9.7553e-03 eta: 2 days, 18:28:02 time: 0.3932 data_time: 0.0167 memory: 17007 grad_norm: 4.8719 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9614 loss: 2.9614 2022/07/27 00:55:27 - mmengine - INFO - Epoch(train) [19][740/3757] lr: 9.7553e-03 eta: 2 days, 18:27:54 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 4.7413 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.5101 loss: 3.5101 2022/07/27 00:55:35 - mmengine - INFO - Epoch(train) [19][760/3757] lr: 9.7553e-03 eta: 2 days, 18:27:47 time: 0.3955 data_time: 0.0165 memory: 17007 grad_norm: 4.7800 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9406 loss: 2.9406 2022/07/27 00:55:43 - mmengine - INFO - Epoch(train) [19][780/3757] lr: 9.7553e-03 eta: 2 days, 18:27:38 time: 0.3900 data_time: 0.0139 memory: 17007 grad_norm: 4.7799 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3653 loss: 3.3653 2022/07/27 00:55:51 - mmengine - INFO - Epoch(train) [19][800/3757] lr: 9.7553e-03 eta: 2 days, 18:27:31 time: 0.3954 data_time: 0.0168 memory: 17007 grad_norm: 4.6739 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0094 loss: 3.0094 2022/07/27 00:55:59 - mmengine - INFO - Epoch(train) [19][820/3757] lr: 9.7553e-03 eta: 2 days, 18:27:23 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 4.8767 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1384 loss: 3.1384 2022/07/27 00:56:07 - mmengine - INFO - Epoch(train) [19][840/3757] lr: 9.7553e-03 eta: 2 days, 18:27:14 time: 0.3910 data_time: 0.0159 memory: 17007 grad_norm: 4.8148 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2032 loss: 3.2032 2022/07/27 00:56:14 - mmengine - INFO - Epoch(train) [19][860/3757] lr: 9.7553e-03 eta: 2 days, 18:27:06 time: 0.3917 data_time: 0.0164 memory: 17007 grad_norm: 4.7635 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.1822 loss: 3.1822 2022/07/27 00:56:22 - mmengine - INFO - Epoch(train) [19][880/3757] lr: 9.7553e-03 eta: 2 days, 18:26:59 time: 0.4008 data_time: 0.0165 memory: 17007 grad_norm: 4.7415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1318 loss: 3.1318 2022/07/27 00:56:30 - mmengine - INFO - Epoch(train) [19][900/3757] lr: 9.7553e-03 eta: 2 days, 18:26:51 time: 0.3908 data_time: 0.0150 memory: 17007 grad_norm: 4.6743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0713 loss: 3.0713 2022/07/27 00:56:38 - mmengine - INFO - Epoch(train) [19][920/3757] lr: 9.7553e-03 eta: 2 days, 18:26:43 time: 0.3929 data_time: 0.0164 memory: 17007 grad_norm: 4.7795 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1955 loss: 3.1955 2022/07/27 00:56:46 - mmengine - INFO - Epoch(train) [19][940/3757] lr: 9.7553e-03 eta: 2 days, 18:26:35 time: 0.3920 data_time: 0.0160 memory: 17007 grad_norm: 4.8023 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9492 loss: 2.9492 2022/07/27 00:56:54 - mmengine - INFO - Epoch(train) [19][960/3757] lr: 9.7553e-03 eta: 2 days, 18:26:27 time: 0.3918 data_time: 0.0163 memory: 17007 grad_norm: 4.8564 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4543 loss: 3.4543 2022/07/27 00:57:02 - mmengine - INFO - Epoch(train) [19][980/3757] lr: 9.7553e-03 eta: 2 days, 18:26:21 time: 0.4030 data_time: 0.0153 memory: 17007 grad_norm: 4.8239 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8997 loss: 2.8997 2022/07/27 00:57:10 - mmengine - INFO - Epoch(train) [19][1000/3757] lr: 9.7553e-03 eta: 2 days, 18:26:13 time: 0.3929 data_time: 0.0166 memory: 17007 grad_norm: 4.8262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2602 loss: 3.2602 2022/07/27 00:57:18 - mmengine - INFO - Epoch(train) [19][1020/3757] lr: 9.7553e-03 eta: 2 days, 18:26:04 time: 0.3901 data_time: 0.0141 memory: 17007 grad_norm: 4.7456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1911 loss: 3.1911 2022/07/27 00:57:25 - mmengine - INFO - Epoch(train) [19][1040/3757] lr: 9.7553e-03 eta: 2 days, 18:25:56 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 4.7983 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9724 loss: 2.9724 2022/07/27 00:57:33 - mmengine - INFO - Epoch(train) [19][1060/3757] lr: 9.7553e-03 eta: 2 days, 18:25:48 time: 0.3940 data_time: 0.0165 memory: 17007 grad_norm: 4.8575 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0623 loss: 3.0623 2022/07/27 00:57:41 - mmengine - INFO - Epoch(train) [19][1080/3757] lr: 9.7553e-03 eta: 2 days, 18:25:41 time: 0.3987 data_time: 0.0169 memory: 17007 grad_norm: 4.7459 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1800 loss: 3.1800 2022/07/27 00:57:49 - mmengine - INFO - Epoch(train) [19][1100/3757] lr: 9.7553e-03 eta: 2 days, 18:25:33 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 4.7759 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2228 loss: 3.2228 2022/07/27 00:57:57 - mmengine - INFO - Epoch(train) [19][1120/3757] lr: 9.7553e-03 eta: 2 days, 18:25:25 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 4.7474 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2463 loss: 3.2463 2022/07/27 00:58:05 - mmengine - INFO - Epoch(train) [19][1140/3757] lr: 9.7553e-03 eta: 2 days, 18:25:16 time: 0.3905 data_time: 0.0142 memory: 17007 grad_norm: 4.8370 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3148 loss: 3.3148 2022/07/27 00:58:13 - mmengine - INFO - Epoch(train) [19][1160/3757] lr: 9.7553e-03 eta: 2 days, 18:25:09 time: 0.3942 data_time: 0.0164 memory: 17007 grad_norm: 4.6562 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0096 loss: 3.0096 2022/07/27 00:58:21 - mmengine - INFO - Epoch(train) [19][1180/3757] lr: 9.7553e-03 eta: 2 days, 18:25:01 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 4.6700 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4174 loss: 3.4174 2022/07/27 00:58:28 - mmengine - INFO - Epoch(train) [19][1200/3757] lr: 9.7553e-03 eta: 2 days, 18:24:53 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 4.6308 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1930 loss: 3.1930 2022/07/27 00:58:36 - mmengine - INFO - Epoch(train) [19][1220/3757] lr: 9.7553e-03 eta: 2 days, 18:24:44 time: 0.3897 data_time: 0.0143 memory: 17007 grad_norm: 4.8254 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0472 loss: 3.0472 2022/07/27 00:58:44 - mmengine - INFO - Epoch(train) [19][1240/3757] lr: 9.7553e-03 eta: 2 days, 18:24:36 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 4.8519 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9182 loss: 2.9182 2022/07/27 00:58:52 - mmengine - INFO - Epoch(train) [19][1260/3757] lr: 9.7553e-03 eta: 2 days, 18:24:28 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 4.7319 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1858 loss: 3.1858 2022/07/27 00:59:00 - mmengine - INFO - Epoch(train) [19][1280/3757] lr: 9.7553e-03 eta: 2 days, 18:24:20 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 4.8318 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3015 loss: 3.3015 2022/07/27 00:59:08 - mmengine - INFO - Epoch(train) [19][1300/3757] lr: 9.7553e-03 eta: 2 days, 18:24:12 time: 0.3905 data_time: 0.0149 memory: 17007 grad_norm: 4.8064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1610 loss: 3.1610 2022/07/27 00:59:15 - mmengine - INFO - Epoch(train) [19][1320/3757] lr: 9.7553e-03 eta: 2 days, 18:24:04 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 4.7420 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8780 loss: 2.8780 2022/07/27 00:59:23 - mmengine - INFO - Epoch(train) [19][1340/3757] lr: 9.7553e-03 eta: 2 days, 18:23:56 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 4.6516 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9792 loss: 2.9792 2022/07/27 00:59:31 - mmengine - INFO - Epoch(train) [19][1360/3757] lr: 9.7553e-03 eta: 2 days, 18:23:48 time: 0.3939 data_time: 0.0168 memory: 17007 grad_norm: 4.8514 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0886 loss: 3.0886 2022/07/27 00:59:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 00:59:39 - mmengine - INFO - Epoch(train) [19][1380/3757] lr: 9.7553e-03 eta: 2 days, 18:23:40 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 4.7549 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0856 loss: 3.0856 2022/07/27 00:59:47 - mmengine - INFO - Epoch(train) [19][1400/3757] lr: 9.7553e-03 eta: 2 days, 18:23:32 time: 0.3908 data_time: 0.0160 memory: 17007 grad_norm: 4.8042 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3009 loss: 3.3009 2022/07/27 00:59:55 - mmengine - INFO - Epoch(train) [19][1420/3757] lr: 9.7553e-03 eta: 2 days, 18:23:24 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 4.8536 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4320 loss: 3.4320 2022/07/27 01:00:03 - mmengine - INFO - Epoch(train) [19][1440/3757] lr: 9.7553e-03 eta: 2 days, 18:23:16 time: 0.3944 data_time: 0.0173 memory: 17007 grad_norm: 4.8901 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1865 loss: 3.1865 2022/07/27 01:00:11 - mmengine - INFO - Epoch(train) [19][1460/3757] lr: 9.7553e-03 eta: 2 days, 18:23:08 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 4.7256 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2265 loss: 3.2265 2022/07/27 01:00:18 - mmengine - INFO - Epoch(train) [19][1480/3757] lr: 9.7553e-03 eta: 2 days, 18:23:00 time: 0.3904 data_time: 0.0157 memory: 17007 grad_norm: 4.7906 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2802 loss: 3.2802 2022/07/27 01:00:26 - mmengine - INFO - Epoch(train) [19][1500/3757] lr: 9.7553e-03 eta: 2 days, 18:22:52 time: 0.3913 data_time: 0.0138 memory: 17007 grad_norm: 4.7968 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2829 loss: 3.2829 2022/07/27 01:00:34 - mmengine - INFO - Epoch(train) [19][1520/3757] lr: 9.7553e-03 eta: 2 days, 18:22:44 time: 0.3939 data_time: 0.0166 memory: 17007 grad_norm: 4.8678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1099 loss: 3.1099 2022/07/27 01:00:42 - mmengine - INFO - Epoch(train) [19][1540/3757] lr: 9.7553e-03 eta: 2 days, 18:22:35 time: 0.3906 data_time: 0.0150 memory: 17007 grad_norm: 4.7108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1436 loss: 3.1436 2022/07/27 01:00:50 - mmengine - INFO - Epoch(train) [19][1560/3757] lr: 9.7553e-03 eta: 2 days, 18:22:28 time: 0.3962 data_time: 0.0153 memory: 17007 grad_norm: 4.6531 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2337 loss: 3.2337 2022/07/27 01:00:58 - mmengine - INFO - Epoch(train) [19][1580/3757] lr: 9.7553e-03 eta: 2 days, 18:22:20 time: 0.3915 data_time: 0.0158 memory: 17007 grad_norm: 4.7815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1241 loss: 3.1241 2022/07/27 01:01:05 - mmengine - INFO - Epoch(train) [19][1600/3757] lr: 9.7553e-03 eta: 2 days, 18:22:12 time: 0.3936 data_time: 0.0167 memory: 17007 grad_norm: 4.7016 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8529 loss: 2.8529 2022/07/27 01:01:13 - mmengine - INFO - Epoch(train) [19][1620/3757] lr: 9.7553e-03 eta: 2 days, 18:22:04 time: 0.3917 data_time: 0.0161 memory: 17007 grad_norm: 4.8076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2295 loss: 3.2295 2022/07/27 01:01:21 - mmengine - INFO - Epoch(train) [19][1640/3757] lr: 9.7553e-03 eta: 2 days, 18:21:56 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 4.7316 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9215 loss: 2.9215 2022/07/27 01:01:29 - mmengine - INFO - Epoch(train) [19][1660/3757] lr: 9.7553e-03 eta: 2 days, 18:21:48 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 4.7715 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1099 loss: 3.1099 2022/07/27 01:01:37 - mmengine - INFO - Epoch(train) [19][1680/3757] lr: 9.7553e-03 eta: 2 days, 18:21:39 time: 0.3912 data_time: 0.0164 memory: 17007 grad_norm: 4.6063 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9721 loss: 2.9721 2022/07/27 01:01:45 - mmengine - INFO - Epoch(train) [19][1700/3757] lr: 9.7553e-03 eta: 2 days, 18:21:31 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 4.7149 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2067 loss: 3.2067 2022/07/27 01:01:53 - mmengine - INFO - Epoch(train) [19][1720/3757] lr: 9.7553e-03 eta: 2 days, 18:21:23 time: 0.3916 data_time: 0.0163 memory: 17007 grad_norm: 4.7940 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.3177 loss: 3.3177 2022/07/27 01:02:00 - mmengine - INFO - Epoch(train) [19][1740/3757] lr: 9.7553e-03 eta: 2 days, 18:21:16 time: 0.3983 data_time: 0.0161 memory: 17007 grad_norm: 4.8467 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2782 loss: 3.2782 2022/07/27 01:02:08 - mmengine - INFO - Epoch(train) [19][1760/3757] lr: 9.7553e-03 eta: 2 days, 18:21:07 time: 0.3916 data_time: 0.0162 memory: 17007 grad_norm: 4.5836 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8145 loss: 2.8145 2022/07/27 01:02:16 - mmengine - INFO - Epoch(train) [19][1780/3757] lr: 9.7553e-03 eta: 2 days, 18:20:59 time: 0.3914 data_time: 0.0152 memory: 17007 grad_norm: 4.9244 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8118 loss: 2.8118 2022/07/27 01:02:24 - mmengine - INFO - Epoch(train) [19][1800/3757] lr: 9.7553e-03 eta: 2 days, 18:20:51 time: 0.3942 data_time: 0.0171 memory: 17007 grad_norm: 4.8535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0319 loss: 3.0319 2022/07/27 01:02:32 - mmengine - INFO - Epoch(train) [19][1820/3757] lr: 9.7553e-03 eta: 2 days, 18:20:43 time: 0.3928 data_time: 0.0159 memory: 17007 grad_norm: 4.8959 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1080 loss: 3.1080 2022/07/27 01:02:40 - mmengine - INFO - Epoch(train) [19][1840/3757] lr: 9.7553e-03 eta: 2 days, 18:20:36 time: 0.3968 data_time: 0.0182 memory: 17007 grad_norm: 4.7954 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0018 loss: 3.0018 2022/07/27 01:02:48 - mmengine - INFO - Epoch(train) [19][1860/3757] lr: 9.7553e-03 eta: 2 days, 18:20:28 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 4.8426 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2049 loss: 3.2049 2022/07/27 01:02:56 - mmengine - INFO - Epoch(train) [19][1880/3757] lr: 9.7553e-03 eta: 2 days, 18:20:21 time: 0.3968 data_time: 0.0162 memory: 17007 grad_norm: 4.7033 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0806 loss: 3.0806 2022/07/27 01:03:04 - mmengine - INFO - Epoch(train) [19][1900/3757] lr: 9.7553e-03 eta: 2 days, 18:20:14 time: 0.4017 data_time: 0.0152 memory: 17007 grad_norm: 4.7554 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4130 loss: 3.4130 2022/07/27 01:03:12 - mmengine - INFO - Epoch(train) [19][1920/3757] lr: 9.7553e-03 eta: 2 days, 18:20:06 time: 0.3935 data_time: 0.0165 memory: 17007 grad_norm: 4.7622 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1544 loss: 3.1544 2022/07/27 01:03:19 - mmengine - INFO - Epoch(train) [19][1940/3757] lr: 9.7553e-03 eta: 2 days, 18:19:58 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 4.7268 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7912 loss: 2.7912 2022/07/27 01:03:27 - mmengine - INFO - Epoch(train) [19][1960/3757] lr: 9.7553e-03 eta: 2 days, 18:19:51 time: 0.3933 data_time: 0.0164 memory: 17007 grad_norm: 4.8091 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9120 loss: 2.9120 2022/07/27 01:03:35 - mmengine - INFO - Epoch(train) [19][1980/3757] lr: 9.7553e-03 eta: 2 days, 18:19:42 time: 0.3913 data_time: 0.0150 memory: 17007 grad_norm: 4.8317 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0426 loss: 3.0426 2022/07/27 01:03:43 - mmengine - INFO - Epoch(train) [19][2000/3757] lr: 9.7553e-03 eta: 2 days, 18:19:34 time: 0.3930 data_time: 0.0173 memory: 17007 grad_norm: 4.7946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9983 loss: 2.9983 2022/07/27 01:03:51 - mmengine - INFO - Epoch(train) [19][2020/3757] lr: 9.7553e-03 eta: 2 days, 18:19:26 time: 0.3931 data_time: 0.0167 memory: 17007 grad_norm: 4.7220 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0076 loss: 3.0076 2022/07/27 01:03:59 - mmengine - INFO - Epoch(train) [19][2040/3757] lr: 9.7553e-03 eta: 2 days, 18:19:18 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 4.7422 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1117 loss: 3.1117 2022/07/27 01:04:06 - mmengine - INFO - Epoch(train) [19][2060/3757] lr: 9.7553e-03 eta: 2 days, 18:19:10 time: 0.3910 data_time: 0.0150 memory: 17007 grad_norm: 4.7176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0341 loss: 3.0341 2022/07/27 01:04:14 - mmengine - INFO - Epoch(train) [19][2080/3757] lr: 9.7553e-03 eta: 2 days, 18:19:02 time: 0.3937 data_time: 0.0174 memory: 17007 grad_norm: 4.7482 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0845 loss: 3.0845 2022/07/27 01:04:22 - mmengine - INFO - Epoch(train) [19][2100/3757] lr: 9.7553e-03 eta: 2 days, 18:18:54 time: 0.3950 data_time: 0.0148 memory: 17007 grad_norm: 4.8980 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1456 loss: 3.1456 2022/07/27 01:04:30 - mmengine - INFO - Epoch(train) [19][2120/3757] lr: 9.7553e-03 eta: 2 days, 18:18:46 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 4.8386 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2401 loss: 3.2401 2022/07/27 01:04:38 - mmengine - INFO - Epoch(train) [19][2140/3757] lr: 9.7553e-03 eta: 2 days, 18:18:38 time: 0.3913 data_time: 0.0151 memory: 17007 grad_norm: 4.7458 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9645 loss: 2.9645 2022/07/27 01:04:46 - mmengine - INFO - Epoch(train) [19][2160/3757] lr: 9.7553e-03 eta: 2 days, 18:18:31 time: 0.3950 data_time: 0.0178 memory: 17007 grad_norm: 4.8010 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0275 loss: 3.0275 2022/07/27 01:04:54 - mmengine - INFO - Epoch(train) [19][2180/3757] lr: 9.7553e-03 eta: 2 days, 18:18:23 time: 0.3926 data_time: 0.0167 memory: 17007 grad_norm: 4.7742 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8080 loss: 2.8080 2022/07/27 01:05:02 - mmengine - INFO - Epoch(train) [19][2200/3757] lr: 9.7553e-03 eta: 2 days, 18:18:15 time: 0.3966 data_time: 0.0168 memory: 17007 grad_norm: 4.9249 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1362 loss: 3.1362 2022/07/27 01:05:10 - mmengine - INFO - Epoch(train) [19][2220/3757] lr: 9.7553e-03 eta: 2 days, 18:18:08 time: 0.3974 data_time: 0.0163 memory: 17007 grad_norm: 4.8718 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2666 loss: 3.2666 2022/07/27 01:05:17 - mmengine - INFO - Epoch(train) [19][2240/3757] lr: 9.7553e-03 eta: 2 days, 18:18:00 time: 0.3935 data_time: 0.0165 memory: 17007 grad_norm: 4.7295 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9810 loss: 2.9810 2022/07/27 01:05:25 - mmengine - INFO - Epoch(train) [19][2260/3757] lr: 9.7553e-03 eta: 2 days, 18:17:52 time: 0.3908 data_time: 0.0145 memory: 17007 grad_norm: 4.7885 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0604 loss: 3.0604 2022/07/27 01:05:33 - mmengine - INFO - Epoch(train) [19][2280/3757] lr: 9.7553e-03 eta: 2 days, 18:17:44 time: 0.3948 data_time: 0.0170 memory: 17007 grad_norm: 4.7763 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1675 loss: 3.1675 2022/07/27 01:05:41 - mmengine - INFO - Epoch(train) [19][2300/3757] lr: 9.7553e-03 eta: 2 days, 18:17:36 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 4.8957 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1144 loss: 3.1144 2022/07/27 01:05:49 - mmengine - INFO - Epoch(train) [19][2320/3757] lr: 9.7553e-03 eta: 2 days, 18:17:27 time: 0.3910 data_time: 0.0149 memory: 17007 grad_norm: 4.7192 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3288 loss: 3.3288 2022/07/27 01:05:57 - mmengine - INFO - Epoch(train) [19][2340/3757] lr: 9.7553e-03 eta: 2 days, 18:17:19 time: 0.3909 data_time: 0.0149 memory: 17007 grad_norm: 4.8580 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8799 loss: 2.8799 2022/07/27 01:06:05 - mmengine - INFO - Epoch(train) [19][2360/3757] lr: 9.7553e-03 eta: 2 days, 18:17:12 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 4.7119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0068 loss: 3.0068 2022/07/27 01:06:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:06:12 - mmengine - INFO - Epoch(train) [19][2380/3757] lr: 9.7553e-03 eta: 2 days, 18:17:03 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 4.7494 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1123 loss: 3.1123 2022/07/27 01:06:20 - mmengine - INFO - Epoch(train) [19][2400/3757] lr: 9.7553e-03 eta: 2 days, 18:16:56 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 4.8606 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4957 loss: 3.4957 2022/07/27 01:06:28 - mmengine - INFO - Epoch(train) [19][2420/3757] lr: 9.7553e-03 eta: 2 days, 18:16:48 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 4.7471 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0712 loss: 3.0712 2022/07/27 01:06:36 - mmengine - INFO - Epoch(train) [19][2440/3757] lr: 9.7553e-03 eta: 2 days, 18:16:41 time: 0.4002 data_time: 0.0183 memory: 17007 grad_norm: 4.7892 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3309 loss: 3.3309 2022/07/27 01:06:44 - mmengine - INFO - Epoch(train) [19][2460/3757] lr: 9.7553e-03 eta: 2 days, 18:16:33 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 4.8890 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2427 loss: 3.2427 2022/07/27 01:06:52 - mmengine - INFO - Epoch(train) [19][2480/3757] lr: 9.7553e-03 eta: 2 days, 18:16:26 time: 0.3972 data_time: 0.0158 memory: 17007 grad_norm: 4.6783 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0865 loss: 3.0865 2022/07/27 01:07:00 - mmengine - INFO - Epoch(train) [19][2500/3757] lr: 9.7553e-03 eta: 2 days, 18:16:17 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 4.7334 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9523 loss: 2.9523 2022/07/27 01:07:08 - mmengine - INFO - Epoch(train) [19][2520/3757] lr: 9.7553e-03 eta: 2 days, 18:16:09 time: 0.3917 data_time: 0.0161 memory: 17007 grad_norm: 4.7115 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.3248 loss: 3.3248 2022/07/27 01:07:16 - mmengine - INFO - Epoch(train) [19][2540/3757] lr: 9.7553e-03 eta: 2 days, 18:16:01 time: 0.3947 data_time: 0.0148 memory: 17007 grad_norm: 4.7962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1929 loss: 3.1929 2022/07/27 01:07:23 - mmengine - INFO - Epoch(train) [19][2560/3757] lr: 9.7553e-03 eta: 2 days, 18:15:54 time: 0.3934 data_time: 0.0182 memory: 17007 grad_norm: 4.8759 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2539 loss: 3.2539 2022/07/27 01:07:31 - mmengine - INFO - Epoch(train) [19][2580/3757] lr: 9.7553e-03 eta: 2 days, 18:15:46 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 4.8175 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3163 loss: 3.3163 2022/07/27 01:07:39 - mmengine - INFO - Epoch(train) [19][2600/3757] lr: 9.7553e-03 eta: 2 days, 18:15:38 time: 0.3941 data_time: 0.0170 memory: 17007 grad_norm: 4.7629 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9719 loss: 2.9719 2022/07/27 01:07:47 - mmengine - INFO - Epoch(train) [19][2620/3757] lr: 9.7553e-03 eta: 2 days, 18:15:33 time: 0.4146 data_time: 0.0146 memory: 17007 grad_norm: 4.9485 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1868 loss: 3.1868 2022/07/27 01:07:55 - mmengine - INFO - Epoch(train) [19][2640/3757] lr: 9.7553e-03 eta: 2 days, 18:15:25 time: 0.3912 data_time: 0.0159 memory: 17007 grad_norm: 4.9932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2158 loss: 3.2158 2022/07/27 01:08:03 - mmengine - INFO - Epoch(train) [19][2660/3757] lr: 9.7553e-03 eta: 2 days, 18:15:18 time: 0.3993 data_time: 0.0168 memory: 17007 grad_norm: 4.8441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3234 loss: 3.3234 2022/07/27 01:08:11 - mmengine - INFO - Epoch(train) [19][2680/3757] lr: 9.7553e-03 eta: 2 days, 18:15:10 time: 0.3927 data_time: 0.0163 memory: 17007 grad_norm: 4.8651 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9647 loss: 2.9647 2022/07/27 01:08:19 - mmengine - INFO - Epoch(train) [19][2700/3757] lr: 9.7553e-03 eta: 2 days, 18:15:02 time: 0.3913 data_time: 0.0140 memory: 17007 grad_norm: 4.7419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1409 loss: 3.1409 2022/07/27 01:08:27 - mmengine - INFO - Epoch(train) [19][2720/3757] lr: 9.7553e-03 eta: 2 days, 18:14:56 time: 0.4040 data_time: 0.0168 memory: 17007 grad_norm: 4.8232 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9390 loss: 2.9390 2022/07/27 01:08:35 - mmengine - INFO - Epoch(train) [19][2740/3757] lr: 9.7553e-03 eta: 2 days, 18:14:48 time: 0.3906 data_time: 0.0149 memory: 17007 grad_norm: 4.7213 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9374 loss: 2.9374 2022/07/27 01:08:43 - mmengine - INFO - Epoch(train) [19][2760/3757] lr: 9.7553e-03 eta: 2 days, 18:14:40 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 4.8210 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0965 loss: 3.0965 2022/07/27 01:08:51 - mmengine - INFO - Epoch(train) [19][2780/3757] lr: 9.7553e-03 eta: 2 days, 18:14:32 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 4.7112 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9153 loss: 2.9153 2022/07/27 01:08:58 - mmengine - INFO - Epoch(train) [19][2800/3757] lr: 9.7553e-03 eta: 2 days, 18:14:23 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 4.7763 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1982 loss: 3.1982 2022/07/27 01:09:06 - mmengine - INFO - Epoch(train) [19][2820/3757] lr: 9.7553e-03 eta: 2 days, 18:14:15 time: 0.3899 data_time: 0.0158 memory: 17007 grad_norm: 5.0587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2204 loss: 3.2204 2022/07/27 01:09:14 - mmengine - INFO - Epoch(train) [19][2840/3757] lr: 9.7553e-03 eta: 2 days, 18:14:07 time: 0.3913 data_time: 0.0163 memory: 17007 grad_norm: 4.9179 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9766 loss: 2.9766 2022/07/27 01:09:22 - mmengine - INFO - Epoch(train) [19][2860/3757] lr: 9.7553e-03 eta: 2 days, 18:13:59 time: 0.3972 data_time: 0.0168 memory: 17007 grad_norm: 4.8053 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1144 loss: 3.1144 2022/07/27 01:09:30 - mmengine - INFO - Epoch(train) [19][2880/3757] lr: 9.7553e-03 eta: 2 days, 18:13:51 time: 0.3911 data_time: 0.0163 memory: 17007 grad_norm: 4.9066 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2459 loss: 3.2459 2022/07/27 01:09:38 - mmengine - INFO - Epoch(train) [19][2900/3757] lr: 9.7553e-03 eta: 2 days, 18:13:43 time: 0.3904 data_time: 0.0157 memory: 17007 grad_norm: 4.7385 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2943 loss: 3.2943 2022/07/27 01:09:45 - mmengine - INFO - Epoch(train) [19][2920/3757] lr: 9.7553e-03 eta: 2 days, 18:13:35 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 4.7409 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1328 loss: 3.1328 2022/07/27 01:09:53 - mmengine - INFO - Epoch(train) [19][2940/3757] lr: 9.7553e-03 eta: 2 days, 18:13:27 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 4.7544 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4070 loss: 3.4070 2022/07/27 01:10:01 - mmengine - INFO - Epoch(train) [19][2960/3757] lr: 9.7553e-03 eta: 2 days, 18:13:20 time: 0.4033 data_time: 0.0173 memory: 17007 grad_norm: 4.6028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3206 loss: 3.3206 2022/07/27 01:10:09 - mmengine - INFO - Epoch(train) [19][2980/3757] lr: 9.7553e-03 eta: 2 days, 18:13:12 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 4.6941 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9313 loss: 2.9313 2022/07/27 01:10:17 - mmengine - INFO - Epoch(train) [19][3000/3757] lr: 9.7553e-03 eta: 2 days, 18:13:04 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 4.8222 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0779 loss: 3.0779 2022/07/27 01:10:25 - mmengine - INFO - Epoch(train) [19][3020/3757] lr: 9.7553e-03 eta: 2 days, 18:12:58 time: 0.4023 data_time: 0.0161 memory: 17007 grad_norm: 4.8120 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1356 loss: 3.1356 2022/07/27 01:10:33 - mmengine - INFO - Epoch(train) [19][3040/3757] lr: 9.7553e-03 eta: 2 days, 18:12:50 time: 0.3903 data_time: 0.0153 memory: 17007 grad_norm: 4.8241 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2909 loss: 3.2909 2022/07/27 01:10:41 - mmengine - INFO - Epoch(train) [19][3060/3757] lr: 9.7553e-03 eta: 2 days, 18:12:44 time: 0.4100 data_time: 0.0163 memory: 17007 grad_norm: 4.7141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8829 loss: 2.8829 2022/07/27 01:10:49 - mmengine - INFO - Epoch(train) [19][3080/3757] lr: 9.7553e-03 eta: 2 days, 18:12:36 time: 0.3915 data_time: 0.0156 memory: 17007 grad_norm: 4.8454 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9100 loss: 2.9100 2022/07/27 01:10:57 - mmengine - INFO - Epoch(train) [19][3100/3757] lr: 9.7553e-03 eta: 2 days, 18:12:28 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 4.8156 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4542 loss: 3.4542 2022/07/27 01:11:05 - mmengine - INFO - Epoch(train) [19][3120/3757] lr: 9.7553e-03 eta: 2 days, 18:12:23 time: 0.4091 data_time: 0.0165 memory: 17007 grad_norm: 4.7389 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1323 loss: 3.1323 2022/07/27 01:11:13 - mmengine - INFO - Epoch(train) [19][3140/3757] lr: 9.7553e-03 eta: 2 days, 18:12:15 time: 0.3941 data_time: 0.0155 memory: 17007 grad_norm: 4.6958 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2372 loss: 3.2372 2022/07/27 01:11:21 - mmengine - INFO - Epoch(train) [19][3160/3757] lr: 9.7553e-03 eta: 2 days, 18:12:10 time: 0.4100 data_time: 0.0180 memory: 17007 grad_norm: 4.7749 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.0416 loss: 3.0416 2022/07/27 01:11:29 - mmengine - INFO - Epoch(train) [19][3180/3757] lr: 9.7553e-03 eta: 2 days, 18:12:02 time: 0.3899 data_time: 0.0150 memory: 17007 grad_norm: 4.6996 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0095 loss: 3.0095 2022/07/27 01:11:37 - mmengine - INFO - Epoch(train) [19][3200/3757] lr: 9.7553e-03 eta: 2 days, 18:11:53 time: 0.3913 data_time: 0.0155 memory: 17007 grad_norm: 4.7185 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2981 loss: 3.2981 2022/07/27 01:11:45 - mmengine - INFO - Epoch(train) [19][3220/3757] lr: 9.7553e-03 eta: 2 days, 18:11:49 time: 0.4160 data_time: 0.0184 memory: 17007 grad_norm: 4.8449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1783 loss: 3.1783 2022/07/27 01:11:53 - mmengine - INFO - Epoch(train) [19][3240/3757] lr: 9.7553e-03 eta: 2 days, 18:11:42 time: 0.3954 data_time: 0.0168 memory: 17007 grad_norm: 4.7360 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1811 loss: 3.1811 2022/07/27 01:12:01 - mmengine - INFO - Epoch(train) [19][3260/3757] lr: 9.7553e-03 eta: 2 days, 18:11:36 time: 0.4038 data_time: 0.0158 memory: 17007 grad_norm: 4.7944 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1997 loss: 3.1997 2022/07/27 01:12:09 - mmengine - INFO - Epoch(train) [19][3280/3757] lr: 9.7553e-03 eta: 2 days, 18:11:28 time: 0.3931 data_time: 0.0173 memory: 17007 grad_norm: 4.7783 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4478 loss: 3.4478 2022/07/27 01:12:17 - mmengine - INFO - Epoch(train) [19][3300/3757] lr: 9.7553e-03 eta: 2 days, 18:11:20 time: 0.3940 data_time: 0.0169 memory: 17007 grad_norm: 4.7487 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0118 loss: 3.0118 2022/07/27 01:12:26 - mmengine - INFO - Epoch(train) [19][3320/3757] lr: 9.7553e-03 eta: 2 days, 18:11:19 time: 0.4382 data_time: 0.0167 memory: 17007 grad_norm: 4.8019 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0811 loss: 3.0811 2022/07/27 01:12:33 - mmengine - INFO - Epoch(train) [19][3340/3757] lr: 9.7553e-03 eta: 2 days, 18:11:12 time: 0.3936 data_time: 0.0171 memory: 17007 grad_norm: 4.8380 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8064 loss: 2.8064 2022/07/27 01:12:42 - mmengine - INFO - Epoch(train) [19][3360/3757] lr: 9.7553e-03 eta: 2 days, 18:11:08 time: 0.4174 data_time: 0.0161 memory: 17007 grad_norm: 4.8521 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2042 loss: 3.2042 2022/07/27 01:12:47 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:12:50 - mmengine - INFO - Epoch(train) [19][3380/3757] lr: 9.7553e-03 eta: 2 days, 18:11:00 time: 0.3920 data_time: 0.0164 memory: 17007 grad_norm: 4.7579 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9081 loss: 2.9081 2022/07/27 01:12:57 - mmengine - INFO - Epoch(train) [19][3400/3757] lr: 9.7553e-03 eta: 2 days, 18:10:52 time: 0.3928 data_time: 0.0171 memory: 17007 grad_norm: 4.7763 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1037 loss: 3.1037 2022/07/27 01:13:06 - mmengine - INFO - Epoch(train) [19][3420/3757] lr: 9.7553e-03 eta: 2 days, 18:10:52 time: 0.4428 data_time: 0.0161 memory: 17007 grad_norm: 4.6288 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0734 loss: 3.0734 2022/07/27 01:13:14 - mmengine - INFO - Epoch(train) [19][3440/3757] lr: 9.7553e-03 eta: 2 days, 18:10:44 time: 0.3921 data_time: 0.0164 memory: 17007 grad_norm: 4.6227 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0892 loss: 3.0892 2022/07/27 01:13:23 - mmengine - INFO - Epoch(train) [19][3460/3757] lr: 9.7553e-03 eta: 2 days, 18:10:42 time: 0.4272 data_time: 0.0157 memory: 17007 grad_norm: 4.9366 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0278 loss: 3.0278 2022/07/27 01:13:31 - mmengine - INFO - Epoch(train) [19][3480/3757] lr: 9.7553e-03 eta: 2 days, 18:10:34 time: 0.3933 data_time: 0.0172 memory: 17007 grad_norm: 4.7338 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2518 loss: 3.2518 2022/07/27 01:13:38 - mmengine - INFO - Epoch(train) [19][3500/3757] lr: 9.7553e-03 eta: 2 days, 18:10:26 time: 0.3920 data_time: 0.0161 memory: 17007 grad_norm: 4.6984 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0595 loss: 3.0595 2022/07/27 01:13:47 - mmengine - INFO - Epoch(train) [19][3520/3757] lr: 9.7553e-03 eta: 2 days, 18:10:25 time: 0.4381 data_time: 0.0234 memory: 17007 grad_norm: 4.7765 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0100 loss: 3.0100 2022/07/27 01:13:55 - mmengine - INFO - Epoch(train) [19][3540/3757] lr: 9.7553e-03 eta: 2 days, 18:10:17 time: 0.3917 data_time: 0.0147 memory: 17007 grad_norm: 4.7799 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9223 loss: 2.9223 2022/07/27 01:14:04 - mmengine - INFO - Epoch(train) [19][3560/3757] lr: 9.7553e-03 eta: 2 days, 18:10:17 time: 0.4398 data_time: 0.0173 memory: 17007 grad_norm: 4.8573 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1841 loss: 3.1841 2022/07/27 01:14:12 - mmengine - INFO - Epoch(train) [19][3580/3757] lr: 9.7553e-03 eta: 2 days, 18:10:09 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 4.8672 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0485 loss: 3.0485 2022/07/27 01:14:20 - mmengine - INFO - Epoch(train) [19][3600/3757] lr: 9.7553e-03 eta: 2 days, 18:10:02 time: 0.3993 data_time: 0.0163 memory: 17007 grad_norm: 4.9988 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.0388 loss: 3.0388 2022/07/27 01:14:28 - mmengine - INFO - Epoch(train) [19][3620/3757] lr: 9.7553e-03 eta: 2 days, 18:09:54 time: 0.3928 data_time: 0.0143 memory: 17007 grad_norm: 4.7162 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2015 loss: 3.2015 2022/07/27 01:14:36 - mmengine - INFO - Epoch(train) [19][3640/3757] lr: 9.7553e-03 eta: 2 days, 18:09:47 time: 0.3994 data_time: 0.0165 memory: 17007 grad_norm: 4.8249 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1223 loss: 3.1223 2022/07/27 01:14:44 - mmengine - INFO - Epoch(train) [19][3660/3757] lr: 9.7553e-03 eta: 2 days, 18:09:42 time: 0.4092 data_time: 0.0161 memory: 17007 grad_norm: 4.7271 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9668 loss: 2.9668 2022/07/27 01:14:52 - mmengine - INFO - Epoch(train) [19][3680/3757] lr: 9.7553e-03 eta: 2 days, 18:09:34 time: 0.3935 data_time: 0.0176 memory: 17007 grad_norm: 4.7182 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9768 loss: 2.9768 2022/07/27 01:14:59 - mmengine - INFO - Epoch(train) [19][3700/3757] lr: 9.7553e-03 eta: 2 days, 18:09:26 time: 0.3900 data_time: 0.0149 memory: 17007 grad_norm: 4.7205 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8348 loss: 2.8348 2022/07/27 01:15:08 - mmengine - INFO - Epoch(train) [19][3720/3757] lr: 9.7553e-03 eta: 2 days, 18:09:20 time: 0.4081 data_time: 0.0197 memory: 17007 grad_norm: 4.8511 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0744 loss: 3.0744 2022/07/27 01:15:15 - mmengine - INFO - Epoch(train) [19][3740/3757] lr: 9.7553e-03 eta: 2 days, 18:09:12 time: 0.3922 data_time: 0.0152 memory: 17007 grad_norm: 4.6522 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0383 loss: 3.0383 2022/07/27 01:15:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:15:23 - mmengine - INFO - Epoch(train) [19][3757/3757] lr: 9.7553e-03 eta: 2 days, 18:09:12 time: 0.4208 data_time: 0.0176 memory: 17007 grad_norm: 4.6110 top1_acc: 0.0000 top5_acc: 0.4286 loss_cls: 3.1050 loss: 3.1050 2022/07/27 01:15:23 - mmengine - INFO - Saving checkpoint at 19 epochs 2022/07/27 01:15:34 - mmengine - INFO - Epoch(train) [20][20/3757] lr: 9.7276e-03 eta: 2 days, 18:08:10 time: 0.4507 data_time: 0.0744 memory: 17007 grad_norm: 4.6910 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1595 loss: 3.1595 2022/07/27 01:15:42 - mmengine - INFO - Epoch(train) [20][40/3757] lr: 9.7276e-03 eta: 2 days, 18:08:03 time: 0.3976 data_time: 0.0162 memory: 17007 grad_norm: 4.8265 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9583 loss: 2.9583 2022/07/27 01:15:49 - mmengine - INFO - Epoch(train) [20][60/3757] lr: 9.7276e-03 eta: 2 days, 18:07:55 time: 0.3901 data_time: 0.0148 memory: 17007 grad_norm: 4.7321 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3301 loss: 3.3301 2022/07/27 01:15:57 - mmengine - INFO - Epoch(train) [20][80/3757] lr: 9.7276e-03 eta: 2 days, 18:07:47 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 4.7216 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9393 loss: 2.9393 2022/07/27 01:16:05 - mmengine - INFO - Epoch(train) [20][100/3757] lr: 9.7276e-03 eta: 2 days, 18:07:39 time: 0.3914 data_time: 0.0142 memory: 17007 grad_norm: 4.8733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2515 loss: 3.2515 2022/07/27 01:16:13 - mmengine - INFO - Epoch(train) [20][120/3757] lr: 9.7276e-03 eta: 2 days, 18:07:31 time: 0.3936 data_time: 0.0168 memory: 17007 grad_norm: 4.8050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8632 loss: 2.8632 2022/07/27 01:16:21 - mmengine - INFO - Epoch(train) [20][140/3757] lr: 9.7276e-03 eta: 2 days, 18:07:23 time: 0.3976 data_time: 0.0162 memory: 17007 grad_norm: 4.7196 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0482 loss: 3.0482 2022/07/27 01:16:29 - mmengine - INFO - Epoch(train) [20][160/3757] lr: 9.7276e-03 eta: 2 days, 18:07:15 time: 0.3913 data_time: 0.0160 memory: 17007 grad_norm: 4.8207 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0268 loss: 3.0268 2022/07/27 01:16:37 - mmengine - INFO - Epoch(train) [20][180/3757] lr: 9.7276e-03 eta: 2 days, 18:07:07 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 4.7034 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1777 loss: 3.1777 2022/07/27 01:16:45 - mmengine - INFO - Epoch(train) [20][200/3757] lr: 9.7276e-03 eta: 2 days, 18:07:00 time: 0.4005 data_time: 0.0157 memory: 17007 grad_norm: 4.8642 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2616 loss: 3.2616 2022/07/27 01:16:53 - mmengine - INFO - Epoch(train) [20][220/3757] lr: 9.7276e-03 eta: 2 days, 18:06:52 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 4.7430 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0199 loss: 3.0199 2022/07/27 01:17:00 - mmengine - INFO - Epoch(train) [20][240/3757] lr: 9.7276e-03 eta: 2 days, 18:06:45 time: 0.3955 data_time: 0.0169 memory: 17007 grad_norm: 4.7436 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9911 loss: 2.9911 2022/07/27 01:17:08 - mmengine - INFO - Epoch(train) [20][260/3757] lr: 9.7276e-03 eta: 2 days, 18:06:36 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 4.8549 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2603 loss: 3.2603 2022/07/27 01:17:16 - mmengine - INFO - Epoch(train) [20][280/3757] lr: 9.7276e-03 eta: 2 days, 18:06:28 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 4.7020 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2213 loss: 3.2213 2022/07/27 01:17:24 - mmengine - INFO - Epoch(train) [20][300/3757] lr: 9.7276e-03 eta: 2 days, 18:06:21 time: 0.3970 data_time: 0.0160 memory: 17007 grad_norm: 4.7497 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.9103 loss: 2.9103 2022/07/27 01:17:32 - mmengine - INFO - Epoch(train) [20][320/3757] lr: 9.7276e-03 eta: 2 days, 18:06:13 time: 0.3953 data_time: 0.0162 memory: 17007 grad_norm: 4.6769 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2916 loss: 3.2916 2022/07/27 01:17:40 - mmengine - INFO - Epoch(train) [20][340/3757] lr: 9.7276e-03 eta: 2 days, 18:06:05 time: 0.3915 data_time: 0.0146 memory: 17007 grad_norm: 4.7584 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2156 loss: 3.2156 2022/07/27 01:17:48 - mmengine - INFO - Epoch(train) [20][360/3757] lr: 9.7276e-03 eta: 2 days, 18:05:58 time: 0.3979 data_time: 0.0186 memory: 17007 grad_norm: 4.9052 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9284 loss: 2.9284 2022/07/27 01:17:56 - mmengine - INFO - Epoch(train) [20][380/3757] lr: 9.7276e-03 eta: 2 days, 18:05:51 time: 0.4020 data_time: 0.0156 memory: 17007 grad_norm: 4.9061 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8142 loss: 2.8142 2022/07/27 01:18:04 - mmengine - INFO - Epoch(train) [20][400/3757] lr: 9.7276e-03 eta: 2 days, 18:05:45 time: 0.4016 data_time: 0.0165 memory: 17007 grad_norm: 4.7166 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3514 loss: 3.3514 2022/07/27 01:18:12 - mmengine - INFO - Epoch(train) [20][420/3757] lr: 9.7276e-03 eta: 2 days, 18:05:37 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 4.8046 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1666 loss: 3.1666 2022/07/27 01:18:19 - mmengine - INFO - Epoch(train) [20][440/3757] lr: 9.7276e-03 eta: 2 days, 18:05:28 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 4.8232 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0109 loss: 3.0109 2022/07/27 01:18:27 - mmengine - INFO - Epoch(train) [20][460/3757] lr: 9.7276e-03 eta: 2 days, 18:05:22 time: 0.3998 data_time: 0.0157 memory: 17007 grad_norm: 4.9290 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0703 loss: 3.0703 2022/07/27 01:18:35 - mmengine - INFO - Epoch(train) [20][480/3757] lr: 9.7276e-03 eta: 2 days, 18:05:14 time: 0.3937 data_time: 0.0176 memory: 17007 grad_norm: 4.8391 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8333 loss: 2.8333 2022/07/27 01:18:44 - mmengine - INFO - Epoch(train) [20][500/3757] lr: 9.7276e-03 eta: 2 days, 18:05:08 time: 0.4073 data_time: 0.0151 memory: 17007 grad_norm: 4.7355 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0252 loss: 3.0252 2022/07/27 01:18:51 - mmengine - INFO - Epoch(train) [20][520/3757] lr: 9.7276e-03 eta: 2 days, 18:05:00 time: 0.3936 data_time: 0.0167 memory: 17007 grad_norm: 4.9416 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1129 loss: 3.1129 2022/07/27 01:18:59 - mmengine - INFO - Epoch(train) [20][540/3757] lr: 9.7276e-03 eta: 2 days, 18:04:52 time: 0.3903 data_time: 0.0148 memory: 17007 grad_norm: 4.8790 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1379 loss: 3.1379 2022/07/27 01:19:07 - mmengine - INFO - Epoch(train) [20][560/3757] lr: 9.7276e-03 eta: 2 days, 18:04:45 time: 0.3999 data_time: 0.0162 memory: 17007 grad_norm: 4.8266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9891 loss: 2.9891 2022/07/27 01:19:15 - mmengine - INFO - Epoch(train) [20][580/3757] lr: 9.7276e-03 eta: 2 days, 18:04:37 time: 0.3915 data_time: 0.0161 memory: 17007 grad_norm: 4.7961 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2574 loss: 3.2574 2022/07/27 01:19:23 - mmengine - INFO - Epoch(train) [20][600/3757] lr: 9.7276e-03 eta: 2 days, 18:04:30 time: 0.3992 data_time: 0.0161 memory: 17007 grad_norm: 4.7263 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9745 loss: 2.9745 2022/07/27 01:19:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:19:31 - mmengine - INFO - Epoch(train) [20][620/3757] lr: 9.7276e-03 eta: 2 days, 18:04:23 time: 0.3977 data_time: 0.0155 memory: 17007 grad_norm: 4.7885 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2999 loss: 3.2999 2022/07/27 01:19:39 - mmengine - INFO - Epoch(train) [20][640/3757] lr: 9.7276e-03 eta: 2 days, 18:04:14 time: 0.3917 data_time: 0.0163 memory: 17007 grad_norm: 4.9055 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0866 loss: 3.0866 2022/07/27 01:19:47 - mmengine - INFO - Epoch(train) [20][660/3757] lr: 9.7276e-03 eta: 2 days, 18:04:07 time: 0.3972 data_time: 0.0146 memory: 17007 grad_norm: 4.7921 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1510 loss: 3.1510 2022/07/27 01:19:55 - mmengine - INFO - Epoch(train) [20][680/3757] lr: 9.7276e-03 eta: 2 days, 18:03:59 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 4.6165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9257 loss: 2.9257 2022/07/27 01:20:03 - mmengine - INFO - Epoch(train) [20][700/3757] lr: 9.7276e-03 eta: 2 days, 18:03:52 time: 0.4002 data_time: 0.0156 memory: 17007 grad_norm: 4.8241 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6665 loss: 2.6665 2022/07/27 01:20:10 - mmengine - INFO - Epoch(train) [20][720/3757] lr: 9.7276e-03 eta: 2 days, 18:03:44 time: 0.3922 data_time: 0.0168 memory: 17007 grad_norm: 4.8362 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8299 loss: 2.8299 2022/07/27 01:20:18 - mmengine - INFO - Epoch(train) [20][740/3757] lr: 9.7276e-03 eta: 2 days, 18:03:36 time: 0.3904 data_time: 0.0155 memory: 17007 grad_norm: 4.8677 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0540 loss: 3.0540 2022/07/27 01:20:26 - mmengine - INFO - Epoch(train) [20][760/3757] lr: 9.7276e-03 eta: 2 days, 18:03:29 time: 0.4029 data_time: 0.0163 memory: 17007 grad_norm: 4.8936 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1759 loss: 3.1759 2022/07/27 01:20:34 - mmengine - INFO - Epoch(train) [20][780/3757] lr: 9.7276e-03 eta: 2 days, 18:03:21 time: 0.3908 data_time: 0.0156 memory: 17007 grad_norm: 4.8581 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2415 loss: 3.2415 2022/07/27 01:20:42 - mmengine - INFO - Epoch(train) [20][800/3757] lr: 9.7276e-03 eta: 2 days, 18:03:16 time: 0.4103 data_time: 0.0163 memory: 17007 grad_norm: 4.8035 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0182 loss: 3.0182 2022/07/27 01:20:50 - mmengine - INFO - Epoch(train) [20][820/3757] lr: 9.7276e-03 eta: 2 days, 18:03:08 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 4.7109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9086 loss: 2.9086 2022/07/27 01:20:58 - mmengine - INFO - Epoch(train) [20][840/3757] lr: 9.7276e-03 eta: 2 days, 18:03:00 time: 0.3927 data_time: 0.0165 memory: 17007 grad_norm: 4.8857 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1930 loss: 3.1930 2022/07/27 01:21:06 - mmengine - INFO - Epoch(train) [20][860/3757] lr: 9.7276e-03 eta: 2 days, 18:02:52 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 4.8847 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4003 loss: 3.4003 2022/07/27 01:21:14 - mmengine - INFO - Epoch(train) [20][880/3757] lr: 9.7276e-03 eta: 2 days, 18:02:44 time: 0.3947 data_time: 0.0169 memory: 17007 grad_norm: 4.8486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9779 loss: 2.9779 2022/07/27 01:21:22 - mmengine - INFO - Epoch(train) [20][900/3757] lr: 9.7276e-03 eta: 2 days, 18:02:38 time: 0.4021 data_time: 0.0145 memory: 17007 grad_norm: 4.9273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0975 loss: 3.0975 2022/07/27 01:21:30 - mmengine - INFO - Epoch(train) [20][920/3757] lr: 9.7276e-03 eta: 2 days, 18:02:30 time: 0.3921 data_time: 0.0159 memory: 17007 grad_norm: 4.8657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0026 loss: 3.0026 2022/07/27 01:21:38 - mmengine - INFO - Epoch(train) [20][940/3757] lr: 9.7276e-03 eta: 2 days, 18:02:22 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 4.8204 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8494 loss: 2.8494 2022/07/27 01:21:46 - mmengine - INFO - Epoch(train) [20][960/3757] lr: 9.7276e-03 eta: 2 days, 18:02:14 time: 0.3972 data_time: 0.0149 memory: 17007 grad_norm: 4.7975 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9243 loss: 2.9243 2022/07/27 01:21:53 - mmengine - INFO - Epoch(train) [20][980/3757] lr: 9.7276e-03 eta: 2 days, 18:02:06 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 4.8216 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0375 loss: 3.0375 2022/07/27 01:22:01 - mmengine - INFO - Epoch(train) [20][1000/3757] lr: 9.7276e-03 eta: 2 days, 18:02:00 time: 0.4043 data_time: 0.0156 memory: 17007 grad_norm: 4.9645 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0238 loss: 3.0238 2022/07/27 01:22:09 - mmengine - INFO - Epoch(train) [20][1020/3757] lr: 9.7276e-03 eta: 2 days, 18:01:52 time: 0.3907 data_time: 0.0156 memory: 17007 grad_norm: 4.7795 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7776 loss: 2.7776 2022/07/27 01:22:17 - mmengine - INFO - Epoch(train) [20][1040/3757] lr: 9.7276e-03 eta: 2 days, 18:01:44 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 4.7916 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9828 loss: 2.9828 2022/07/27 01:22:25 - mmengine - INFO - Epoch(train) [20][1060/3757] lr: 9.7276e-03 eta: 2 days, 18:01:38 time: 0.4057 data_time: 0.0164 memory: 17007 grad_norm: 4.7114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0523 loss: 3.0523 2022/07/27 01:22:33 - mmengine - INFO - Epoch(train) [20][1080/3757] lr: 9.7276e-03 eta: 2 days, 18:01:30 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 4.8546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3289 loss: 3.3289 2022/07/27 01:22:41 - mmengine - INFO - Epoch(train) [20][1100/3757] lr: 9.7276e-03 eta: 2 days, 18:01:22 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 4.8435 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1487 loss: 3.1487 2022/07/27 01:22:49 - mmengine - INFO - Epoch(train) [20][1120/3757] lr: 9.7276e-03 eta: 2 days, 18:01:13 time: 0.3914 data_time: 0.0164 memory: 17007 grad_norm: 4.9536 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0284 loss: 3.0284 2022/07/27 01:22:57 - mmengine - INFO - Epoch(train) [20][1140/3757] lr: 9.7276e-03 eta: 2 days, 18:01:05 time: 0.3930 data_time: 0.0150 memory: 17007 grad_norm: 4.6714 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0943 loss: 3.0943 2022/07/27 01:23:05 - mmengine - INFO - Epoch(train) [20][1160/3757] lr: 9.7276e-03 eta: 2 days, 18:00:58 time: 0.3965 data_time: 0.0169 memory: 17007 grad_norm: 4.8481 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0971 loss: 3.0971 2022/07/27 01:23:12 - mmengine - INFO - Epoch(train) [20][1180/3757] lr: 9.7276e-03 eta: 2 days, 18:00:50 time: 0.3925 data_time: 0.0166 memory: 17007 grad_norm: 4.8740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9060 loss: 2.9060 2022/07/27 01:23:20 - mmengine - INFO - Epoch(train) [20][1200/3757] lr: 9.7276e-03 eta: 2 days, 18:00:42 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 4.8146 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9079 loss: 2.9079 2022/07/27 01:23:28 - mmengine - INFO - Epoch(train) [20][1220/3757] lr: 9.7276e-03 eta: 2 days, 18:00:34 time: 0.3926 data_time: 0.0138 memory: 17007 grad_norm: 4.8238 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4508 loss: 3.4508 2022/07/27 01:23:36 - mmengine - INFO - Epoch(train) [20][1240/3757] lr: 9.7276e-03 eta: 2 days, 18:00:26 time: 0.3927 data_time: 0.0167 memory: 17007 grad_norm: 4.7826 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9743 loss: 2.9743 2022/07/27 01:23:44 - mmengine - INFO - Epoch(train) [20][1260/3757] lr: 9.7276e-03 eta: 2 days, 18:00:18 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 4.6508 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7764 loss: 2.7764 2022/07/27 01:23:52 - mmengine - INFO - Epoch(train) [20][1280/3757] lr: 9.7276e-03 eta: 2 days, 18:00:10 time: 0.3929 data_time: 0.0167 memory: 17007 grad_norm: 4.9251 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8843 loss: 2.8843 2022/07/27 01:24:00 - mmengine - INFO - Epoch(train) [20][1300/3757] lr: 9.7276e-03 eta: 2 days, 18:00:02 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 4.7293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7057 loss: 2.7057 2022/07/27 01:24:08 - mmengine - INFO - Epoch(train) [20][1320/3757] lr: 9.7276e-03 eta: 2 days, 17:59:55 time: 0.4024 data_time: 0.0156 memory: 17007 grad_norm: 4.8534 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7948 loss: 2.7948 2022/07/27 01:24:15 - mmengine - INFO - Epoch(train) [20][1340/3757] lr: 9.7276e-03 eta: 2 days, 17:59:47 time: 0.3916 data_time: 0.0165 memory: 17007 grad_norm: 4.9278 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1179 loss: 3.1179 2022/07/27 01:24:23 - mmengine - INFO - Epoch(train) [20][1360/3757] lr: 9.7276e-03 eta: 2 days, 17:59:39 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 4.8290 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9724 loss: 2.9724 2022/07/27 01:24:31 - mmengine - INFO - Epoch(train) [20][1380/3757] lr: 9.7276e-03 eta: 2 days, 17:59:31 time: 0.3920 data_time: 0.0165 memory: 17007 grad_norm: 4.8938 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1449 loss: 3.1449 2022/07/27 01:24:39 - mmengine - INFO - Epoch(train) [20][1400/3757] lr: 9.7276e-03 eta: 2 days, 17:59:22 time: 0.3903 data_time: 0.0152 memory: 17007 grad_norm: 4.9118 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 3.1775 loss: 3.1775 2022/07/27 01:24:47 - mmengine - INFO - Epoch(train) [20][1420/3757] lr: 9.7276e-03 eta: 2 days, 17:59:16 time: 0.3997 data_time: 0.0178 memory: 17007 grad_norm: 4.8046 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0172 loss: 3.0172 2022/07/27 01:24:55 - mmengine - INFO - Epoch(train) [20][1440/3757] lr: 9.7276e-03 eta: 2 days, 17:59:08 time: 0.3929 data_time: 0.0173 memory: 17007 grad_norm: 4.8778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1750 loss: 3.1750 2022/07/27 01:25:03 - mmengine - INFO - Epoch(train) [20][1460/3757] lr: 9.7276e-03 eta: 2 days, 17:59:06 time: 0.4323 data_time: 0.0148 memory: 17007 grad_norm: 4.8119 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0671 loss: 3.0671 2022/07/27 01:25:11 - mmengine - INFO - Epoch(train) [20][1480/3757] lr: 9.7276e-03 eta: 2 days, 17:58:58 time: 0.3932 data_time: 0.0168 memory: 17007 grad_norm: 4.8393 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8913 loss: 2.8913 2022/07/27 01:25:19 - mmengine - INFO - Epoch(train) [20][1500/3757] lr: 9.7276e-03 eta: 2 days, 17:58:50 time: 0.3906 data_time: 0.0160 memory: 17007 grad_norm: 4.6593 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0470 loss: 3.0470 2022/07/27 01:25:28 - mmengine - INFO - Epoch(train) [20][1520/3757] lr: 9.7276e-03 eta: 2 days, 17:58:48 time: 0.4310 data_time: 0.0166 memory: 17007 grad_norm: 4.6467 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7649 loss: 2.7649 2022/07/27 01:25:36 - mmengine - INFO - Epoch(train) [20][1540/3757] lr: 9.7276e-03 eta: 2 days, 17:58:40 time: 0.3943 data_time: 0.0174 memory: 17007 grad_norm: 4.7930 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9648 loss: 2.9648 2022/07/27 01:25:44 - mmengine - INFO - Epoch(train) [20][1560/3757] lr: 9.7276e-03 eta: 2 days, 17:58:34 time: 0.4018 data_time: 0.0189 memory: 17007 grad_norm: 4.8196 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1811 loss: 3.1811 2022/07/27 01:25:51 - mmengine - INFO - Epoch(train) [20][1580/3757] lr: 9.7276e-03 eta: 2 days, 17:58:26 time: 0.3912 data_time: 0.0160 memory: 17007 grad_norm: 4.8039 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1308 loss: 3.1308 2022/07/27 01:25:59 - mmengine - INFO - Epoch(train) [20][1600/3757] lr: 9.7276e-03 eta: 2 days, 17:58:17 time: 0.3918 data_time: 0.0162 memory: 17007 grad_norm: 4.8481 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9816 loss: 2.9816 2022/07/27 01:26:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:26:07 - mmengine - INFO - Epoch(train) [20][1620/3757] lr: 9.7276e-03 eta: 2 days, 17:58:11 time: 0.4051 data_time: 0.0163 memory: 17007 grad_norm: 4.9360 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1298 loss: 3.1298 2022/07/27 01:26:15 - mmengine - INFO - Epoch(train) [20][1640/3757] lr: 9.7276e-03 eta: 2 days, 17:58:03 time: 0.3932 data_time: 0.0171 memory: 17007 grad_norm: 4.8630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2509 loss: 3.2509 2022/07/27 01:26:23 - mmengine - INFO - Epoch(train) [20][1660/3757] lr: 9.7276e-03 eta: 2 days, 17:57:57 time: 0.4018 data_time: 0.0186 memory: 17007 grad_norm: 4.8860 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3255 loss: 3.3255 2022/07/27 01:26:31 - mmengine - INFO - Epoch(train) [20][1680/3757] lr: 9.7276e-03 eta: 2 days, 17:57:49 time: 0.3934 data_time: 0.0165 memory: 17007 grad_norm: 4.7362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1874 loss: 3.1874 2022/07/27 01:26:39 - mmengine - INFO - Epoch(train) [20][1700/3757] lr: 9.7276e-03 eta: 2 days, 17:57:40 time: 0.3891 data_time: 0.0150 memory: 17007 grad_norm: 4.8045 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1474 loss: 3.1474 2022/07/27 01:26:47 - mmengine - INFO - Epoch(train) [20][1720/3757] lr: 9.7276e-03 eta: 2 days, 17:57:33 time: 0.3973 data_time: 0.0158 memory: 17007 grad_norm: 4.8657 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1559 loss: 3.1559 2022/07/27 01:26:55 - mmengine - INFO - Epoch(train) [20][1740/3757] lr: 9.7276e-03 eta: 2 days, 17:57:25 time: 0.3925 data_time: 0.0166 memory: 17007 grad_norm: 4.8562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1380 loss: 3.1380 2022/07/27 01:27:03 - mmengine - INFO - Epoch(train) [20][1760/3757] lr: 9.7276e-03 eta: 2 days, 17:57:20 time: 0.4099 data_time: 0.0164 memory: 17007 grad_norm: 4.7370 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2940 loss: 3.2940 2022/07/27 01:27:11 - mmengine - INFO - Epoch(train) [20][1780/3757] lr: 9.7276e-03 eta: 2 days, 17:57:12 time: 0.3915 data_time: 0.0156 memory: 17007 grad_norm: 4.9724 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0194 loss: 3.0194 2022/07/27 01:27:19 - mmengine - INFO - Epoch(train) [20][1800/3757] lr: 9.7276e-03 eta: 2 days, 17:57:03 time: 0.3908 data_time: 0.0151 memory: 17007 grad_norm: 4.7085 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.0129 loss: 3.0129 2022/07/27 01:27:27 - mmengine - INFO - Epoch(train) [20][1820/3757] lr: 9.7276e-03 eta: 2 days, 17:56:58 time: 0.4103 data_time: 0.0162 memory: 17007 grad_norm: 4.8284 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0318 loss: 3.0318 2022/07/27 01:27:35 - mmengine - INFO - Epoch(train) [20][1840/3757] lr: 9.7276e-03 eta: 2 days, 17:56:50 time: 0.3932 data_time: 0.0164 memory: 17007 grad_norm: 4.7322 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1527 loss: 3.1527 2022/07/27 01:27:43 - mmengine - INFO - Epoch(train) [20][1860/3757] lr: 9.7276e-03 eta: 2 days, 17:56:42 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 5.6458 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9864 loss: 2.9864 2022/07/27 01:27:50 - mmengine - INFO - Epoch(train) [20][1880/3757] lr: 9.7276e-03 eta: 2 days, 17:56:34 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 4.9941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1768 loss: 3.1768 2022/07/27 01:27:58 - mmengine - INFO - Epoch(train) [20][1900/3757] lr: 9.7276e-03 eta: 2 days, 17:56:26 time: 0.3907 data_time: 0.0158 memory: 17007 grad_norm: 5.0378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0360 loss: 3.0360 2022/07/27 01:28:06 - mmengine - INFO - Epoch(train) [20][1920/3757] lr: 9.7276e-03 eta: 2 days, 17:56:18 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 4.8043 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0783 loss: 3.0783 2022/07/27 01:28:14 - mmengine - INFO - Epoch(train) [20][1940/3757] lr: 9.7276e-03 eta: 2 days, 17:56:09 time: 0.3911 data_time: 0.0146 memory: 17007 grad_norm: 4.9295 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1251 loss: 3.1251 2022/07/27 01:28:22 - mmengine - INFO - Epoch(train) [20][1960/3757] lr: 9.7276e-03 eta: 2 days, 17:56:02 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 4.6568 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7626 loss: 2.7626 2022/07/27 01:28:30 - mmengine - INFO - Epoch(train) [20][1980/3757] lr: 9.7276e-03 eta: 2 days, 17:55:53 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 4.7809 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1132 loss: 3.1132 2022/07/27 01:28:38 - mmengine - INFO - Epoch(train) [20][2000/3757] lr: 9.7276e-03 eta: 2 days, 17:55:46 time: 0.3957 data_time: 0.0150 memory: 17007 grad_norm: 4.9309 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9639 loss: 2.9639 2022/07/27 01:28:45 - mmengine - INFO - Epoch(train) [20][2020/3757] lr: 9.7276e-03 eta: 2 days, 17:55:38 time: 0.3924 data_time: 0.0145 memory: 17007 grad_norm: 4.8617 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8307 loss: 2.8307 2022/07/27 01:28:53 - mmengine - INFO - Epoch(train) [20][2040/3757] lr: 9.7276e-03 eta: 2 days, 17:55:31 time: 0.4019 data_time: 0.0169 memory: 17007 grad_norm: 4.8716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9644 loss: 2.9644 2022/07/27 01:29:02 - mmengine - INFO - Epoch(train) [20][2060/3757] lr: 9.7276e-03 eta: 2 days, 17:55:25 time: 0.4049 data_time: 0.0164 memory: 17007 grad_norm: 4.9960 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1053 loss: 3.1053 2022/07/27 01:29:09 - mmengine - INFO - Epoch(train) [20][2080/3757] lr: 9.7276e-03 eta: 2 days, 17:55:17 time: 0.3925 data_time: 0.0171 memory: 17007 grad_norm: 4.9211 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8347 loss: 2.8347 2022/07/27 01:29:17 - mmengine - INFO - Epoch(train) [20][2100/3757] lr: 9.7276e-03 eta: 2 days, 17:55:09 time: 0.3915 data_time: 0.0164 memory: 17007 grad_norm: 4.7473 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0883 loss: 3.0883 2022/07/27 01:29:26 - mmengine - INFO - Epoch(train) [20][2120/3757] lr: 9.7276e-03 eta: 2 days, 17:55:04 time: 0.4128 data_time: 0.0167 memory: 17007 grad_norm: 4.6540 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7222 loss: 2.7222 2022/07/27 01:29:33 - mmengine - INFO - Epoch(train) [20][2140/3757] lr: 9.7276e-03 eta: 2 days, 17:54:56 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 4.6922 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7680 loss: 2.7680 2022/07/27 01:29:41 - mmengine - INFO - Epoch(train) [20][2160/3757] lr: 9.7276e-03 eta: 2 days, 17:54:48 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 4.9200 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2384 loss: 3.2384 2022/07/27 01:29:49 - mmengine - INFO - Epoch(train) [20][2180/3757] lr: 9.7276e-03 eta: 2 days, 17:54:40 time: 0.3899 data_time: 0.0140 memory: 17007 grad_norm: 4.8635 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0856 loss: 3.0856 2022/07/27 01:29:57 - mmengine - INFO - Epoch(train) [20][2200/3757] lr: 9.7276e-03 eta: 2 days, 17:54:31 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 4.6792 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1564 loss: 3.1564 2022/07/27 01:30:05 - mmengine - INFO - Epoch(train) [20][2220/3757] lr: 9.7276e-03 eta: 2 days, 17:54:23 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 4.8487 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8164 loss: 2.8164 2022/07/27 01:30:13 - mmengine - INFO - Epoch(train) [20][2240/3757] lr: 9.7276e-03 eta: 2 days, 17:54:15 time: 0.3912 data_time: 0.0162 memory: 17007 grad_norm: 4.8577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2112 loss: 3.2112 2022/07/27 01:30:20 - mmengine - INFO - Epoch(train) [20][2260/3757] lr: 9.7276e-03 eta: 2 days, 17:54:07 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 4.9332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2631 loss: 3.2631 2022/07/27 01:30:28 - mmengine - INFO - Epoch(train) [20][2280/3757] lr: 9.7276e-03 eta: 2 days, 17:53:59 time: 0.3942 data_time: 0.0166 memory: 17007 grad_norm: 4.7495 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8531 loss: 2.8531 2022/07/27 01:30:36 - mmengine - INFO - Epoch(train) [20][2300/3757] lr: 9.7276e-03 eta: 2 days, 17:53:51 time: 0.3902 data_time: 0.0149 memory: 17007 grad_norm: 4.6926 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1107 loss: 3.1107 2022/07/27 01:30:44 - mmengine - INFO - Epoch(train) [20][2320/3757] lr: 9.7276e-03 eta: 2 days, 17:53:44 time: 0.3985 data_time: 0.0167 memory: 17007 grad_norm: 4.7914 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1902 loss: 3.1902 2022/07/27 01:30:52 - mmengine - INFO - Epoch(train) [20][2340/3757] lr: 9.7276e-03 eta: 2 days, 17:53:35 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 4.8325 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.2497 loss: 3.2497 2022/07/27 01:31:00 - mmengine - INFO - Epoch(train) [20][2360/3757] lr: 9.7276e-03 eta: 2 days, 17:53:27 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 4.9377 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1535 loss: 3.1535 2022/07/27 01:31:08 - mmengine - INFO - Epoch(train) [20][2380/3757] lr: 9.7276e-03 eta: 2 days, 17:53:19 time: 0.3924 data_time: 0.0151 memory: 17007 grad_norm: 4.7273 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0200 loss: 3.0200 2022/07/27 01:31:15 - mmengine - INFO - Epoch(train) [20][2400/3757] lr: 9.7276e-03 eta: 2 days, 17:53:11 time: 0.3927 data_time: 0.0175 memory: 17007 grad_norm: 4.8408 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0497 loss: 3.0497 2022/07/27 01:31:23 - mmengine - INFO - Epoch(train) [20][2420/3757] lr: 9.7276e-03 eta: 2 days, 17:53:04 time: 0.3982 data_time: 0.0153 memory: 17007 grad_norm: 4.6878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6563 loss: 2.6563 2022/07/27 01:31:31 - mmengine - INFO - Epoch(train) [20][2440/3757] lr: 9.7276e-03 eta: 2 days, 17:52:56 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 4.6899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7915 loss: 2.7915 2022/07/27 01:31:39 - mmengine - INFO - Epoch(train) [20][2460/3757] lr: 9.7276e-03 eta: 2 days, 17:52:47 time: 0.3906 data_time: 0.0141 memory: 17007 grad_norm: 4.8714 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1782 loss: 3.1782 2022/07/27 01:31:47 - mmengine - INFO - Epoch(train) [20][2480/3757] lr: 9.7276e-03 eta: 2 days, 17:52:40 time: 0.3992 data_time: 0.0165 memory: 17007 grad_norm: 4.7632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9275 loss: 2.9275 2022/07/27 01:31:55 - mmengine - INFO - Epoch(train) [20][2500/3757] lr: 9.7276e-03 eta: 2 days, 17:52:35 time: 0.4071 data_time: 0.0159 memory: 17007 grad_norm: 4.8921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9333 loss: 2.9333 2022/07/27 01:32:03 - mmengine - INFO - Epoch(train) [20][2520/3757] lr: 9.7276e-03 eta: 2 days, 17:52:28 time: 0.3998 data_time: 0.0179 memory: 17007 grad_norm: 4.6889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7355 loss: 2.7355 2022/07/27 01:32:11 - mmengine - INFO - Epoch(train) [20][2540/3757] lr: 9.7276e-03 eta: 2 days, 17:52:20 time: 0.3913 data_time: 0.0158 memory: 17007 grad_norm: 4.8175 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0547 loss: 3.0547 2022/07/27 01:32:19 - mmengine - INFO - Epoch(train) [20][2560/3757] lr: 9.7276e-03 eta: 2 days, 17:52:11 time: 0.3926 data_time: 0.0171 memory: 17007 grad_norm: 4.7400 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1200 loss: 3.1200 2022/07/27 01:32:27 - mmengine - INFO - Epoch(train) [20][2580/3757] lr: 9.7276e-03 eta: 2 days, 17:52:04 time: 0.3985 data_time: 0.0161 memory: 17007 grad_norm: 4.7334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8538 loss: 2.8538 2022/07/27 01:32:35 - mmengine - INFO - Epoch(train) [20][2600/3757] lr: 9.7276e-03 eta: 2 days, 17:51:56 time: 0.3925 data_time: 0.0165 memory: 17007 grad_norm: 4.8648 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1218 loss: 3.1218 2022/07/27 01:32:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:32:43 - mmengine - INFO - Epoch(train) [20][2620/3757] lr: 9.7276e-03 eta: 2 days, 17:51:49 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 4.8473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1378 loss: 3.1378 2022/07/27 01:32:50 - mmengine - INFO - Epoch(train) [20][2640/3757] lr: 9.7276e-03 eta: 2 days, 17:51:40 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 4.9471 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9153 loss: 2.9153 2022/07/27 01:32:58 - mmengine - INFO - Epoch(train) [20][2660/3757] lr: 9.7276e-03 eta: 2 days, 17:51:32 time: 0.3906 data_time: 0.0142 memory: 17007 grad_norm: 4.9613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9969 loss: 2.9969 2022/07/27 01:33:06 - mmengine - INFO - Epoch(train) [20][2680/3757] lr: 9.7276e-03 eta: 2 days, 17:51:27 time: 0.4109 data_time: 0.0159 memory: 17007 grad_norm: 4.8212 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7242 loss: 2.7242 2022/07/27 01:33:14 - mmengine - INFO - Epoch(train) [20][2700/3757] lr: 9.7276e-03 eta: 2 days, 17:51:19 time: 0.3913 data_time: 0.0158 memory: 17007 grad_norm: 4.9291 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2157 loss: 3.2157 2022/07/27 01:33:22 - mmengine - INFO - Epoch(train) [20][2720/3757] lr: 9.7276e-03 eta: 2 days, 17:51:11 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 4.7885 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8166 loss: 2.8166 2022/07/27 01:33:30 - mmengine - INFO - Epoch(train) [20][2740/3757] lr: 9.7276e-03 eta: 2 days, 17:51:02 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 4.8628 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2353 loss: 3.2353 2022/07/27 01:33:38 - mmengine - INFO - Epoch(train) [20][2760/3757] lr: 9.7276e-03 eta: 2 days, 17:50:54 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 4.8287 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9669 loss: 2.9669 2022/07/27 01:33:46 - mmengine - INFO - Epoch(train) [20][2780/3757] lr: 9.7276e-03 eta: 2 days, 17:50:47 time: 0.3938 data_time: 0.0174 memory: 17007 grad_norm: 4.8949 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3514 loss: 3.3514 2022/07/27 01:33:54 - mmengine - INFO - Epoch(train) [20][2800/3757] lr: 9.7276e-03 eta: 2 days, 17:50:39 time: 0.3938 data_time: 0.0174 memory: 17007 grad_norm: 4.9408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9443 loss: 2.9443 2022/07/27 01:34:01 - mmengine - INFO - Epoch(train) [20][2820/3757] lr: 9.7276e-03 eta: 2 days, 17:50:30 time: 0.3904 data_time: 0.0147 memory: 17007 grad_norm: 4.7410 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9742 loss: 2.9742 2022/07/27 01:34:09 - mmengine - INFO - Epoch(train) [20][2840/3757] lr: 9.7276e-03 eta: 2 days, 17:50:22 time: 0.3929 data_time: 0.0168 memory: 17007 grad_norm: 4.7034 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9928 loss: 2.9928 2022/07/27 01:34:17 - mmengine - INFO - Epoch(train) [20][2860/3757] lr: 9.7276e-03 eta: 2 days, 17:50:14 time: 0.3904 data_time: 0.0153 memory: 17007 grad_norm: 4.8567 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8987 loss: 2.8987 2022/07/27 01:34:25 - mmengine - INFO - Epoch(train) [20][2880/3757] lr: 9.7276e-03 eta: 2 days, 17:50:06 time: 0.3939 data_time: 0.0165 memory: 17007 grad_norm: 4.9946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3314 loss: 3.3314 2022/07/27 01:34:33 - mmengine - INFO - Epoch(train) [20][2900/3757] lr: 9.7276e-03 eta: 2 days, 17:49:59 time: 0.3994 data_time: 0.0155 memory: 17007 grad_norm: 4.7278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8162 loss: 2.8162 2022/07/27 01:34:41 - mmengine - INFO - Epoch(train) [20][2920/3757] lr: 9.7276e-03 eta: 2 days, 17:49:51 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 4.8390 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9006 loss: 2.9006 2022/07/27 01:34:49 - mmengine - INFO - Epoch(train) [20][2940/3757] lr: 9.7276e-03 eta: 2 days, 17:49:44 time: 0.3978 data_time: 0.0159 memory: 17007 grad_norm: 4.8722 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1533 loss: 3.1533 2022/07/27 01:34:57 - mmengine - INFO - Epoch(train) [20][2960/3757] lr: 9.7276e-03 eta: 2 days, 17:49:36 time: 0.3958 data_time: 0.0167 memory: 17007 grad_norm: 4.7974 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1426 loss: 3.1426 2022/07/27 01:35:05 - mmengine - INFO - Epoch(train) [20][2980/3757] lr: 9.7276e-03 eta: 2 days, 17:49:28 time: 0.3948 data_time: 0.0170 memory: 17007 grad_norm: 4.9243 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1449 loss: 3.1449 2022/07/27 01:35:12 - mmengine - INFO - Epoch(train) [20][3000/3757] lr: 9.7276e-03 eta: 2 days, 17:49:20 time: 0.3913 data_time: 0.0159 memory: 17007 grad_norm: 4.7031 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1351 loss: 3.1351 2022/07/27 01:35:20 - mmengine - INFO - Epoch(train) [20][3020/3757] lr: 9.7276e-03 eta: 2 days, 17:49:12 time: 0.3904 data_time: 0.0148 memory: 17007 grad_norm: 4.6683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9192 loss: 2.9192 2022/07/27 01:35:28 - mmengine - INFO - Epoch(train) [20][3040/3757] lr: 9.7276e-03 eta: 2 days, 17:49:04 time: 0.3942 data_time: 0.0166 memory: 17007 grad_norm: 4.8949 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0099 loss: 3.0099 2022/07/27 01:35:36 - mmengine - INFO - Epoch(train) [20][3060/3757] lr: 9.7276e-03 eta: 2 days, 17:48:56 time: 0.3916 data_time: 0.0163 memory: 17007 grad_norm: 4.8193 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9505 loss: 2.9505 2022/07/27 01:35:44 - mmengine - INFO - Epoch(train) [20][3080/3757] lr: 9.7276e-03 eta: 2 days, 17:48:48 time: 0.3946 data_time: 0.0164 memory: 17007 grad_norm: 4.9269 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1511 loss: 3.1511 2022/07/27 01:35:52 - mmengine - INFO - Epoch(train) [20][3100/3757] lr: 9.7276e-03 eta: 2 days, 17:48:40 time: 0.3905 data_time: 0.0145 memory: 17007 grad_norm: 4.8129 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1329 loss: 3.1329 2022/07/27 01:36:00 - mmengine - INFO - Epoch(train) [20][3120/3757] lr: 9.7276e-03 eta: 2 days, 17:48:33 time: 0.4031 data_time: 0.0153 memory: 17007 grad_norm: 4.8646 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4254 loss: 3.4254 2022/07/27 01:36:08 - mmengine - INFO - Epoch(train) [20][3140/3757] lr: 9.7276e-03 eta: 2 days, 17:48:25 time: 0.3934 data_time: 0.0163 memory: 17007 grad_norm: 4.7479 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0572 loss: 3.0572 2022/07/27 01:36:15 - mmengine - INFO - Epoch(train) [20][3160/3757] lr: 9.7276e-03 eta: 2 days, 17:48:17 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 4.8870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1884 loss: 3.1884 2022/07/27 01:36:23 - mmengine - INFO - Epoch(train) [20][3180/3757] lr: 9.7276e-03 eta: 2 days, 17:48:09 time: 0.3930 data_time: 0.0176 memory: 17007 grad_norm: 4.7743 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0017 loss: 3.0017 2022/07/27 01:36:31 - mmengine - INFO - Epoch(train) [20][3200/3757] lr: 9.7276e-03 eta: 2 days, 17:48:01 time: 0.3927 data_time: 0.0173 memory: 17007 grad_norm: 4.6270 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1667 loss: 3.1667 2022/07/27 01:36:39 - mmengine - INFO - Epoch(train) [20][3220/3757] lr: 9.7276e-03 eta: 2 days, 17:47:55 time: 0.4021 data_time: 0.0161 memory: 17007 grad_norm: 4.6348 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1965 loss: 3.1965 2022/07/27 01:36:47 - mmengine - INFO - Epoch(train) [20][3240/3757] lr: 9.7276e-03 eta: 2 days, 17:47:47 time: 0.3948 data_time: 0.0165 memory: 17007 grad_norm: 4.7852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3335 loss: 3.3335 2022/07/27 01:36:55 - mmengine - INFO - Epoch(train) [20][3260/3757] lr: 9.7276e-03 eta: 2 days, 17:47:39 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 4.7931 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1279 loss: 3.1279 2022/07/27 01:37:03 - mmengine - INFO - Epoch(train) [20][3280/3757] lr: 9.7276e-03 eta: 2 days, 17:47:31 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 4.8000 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4020 loss: 3.4020 2022/07/27 01:37:11 - mmengine - INFO - Epoch(train) [20][3300/3757] lr: 9.7276e-03 eta: 2 days, 17:47:23 time: 0.3916 data_time: 0.0154 memory: 17007 grad_norm: 4.8324 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9640 loss: 2.9640 2022/07/27 01:37:19 - mmengine - INFO - Epoch(train) [20][3320/3757] lr: 9.7276e-03 eta: 2 days, 17:47:15 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 4.8363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8514 loss: 2.8514 2022/07/27 01:37:26 - mmengine - INFO - Epoch(train) [20][3340/3757] lr: 9.7276e-03 eta: 2 days, 17:47:08 time: 0.3957 data_time: 0.0163 memory: 17007 grad_norm: 4.8517 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8430 loss: 2.8430 2022/07/27 01:37:34 - mmengine - INFO - Epoch(train) [20][3360/3757] lr: 9.7276e-03 eta: 2 days, 17:46:59 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 4.8090 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8398 loss: 2.8398 2022/07/27 01:37:42 - mmengine - INFO - Epoch(train) [20][3380/3757] lr: 9.7276e-03 eta: 2 days, 17:46:51 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 4.8237 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0372 loss: 3.0372 2022/07/27 01:37:50 - mmengine - INFO - Epoch(train) [20][3400/3757] lr: 9.7276e-03 eta: 2 days, 17:46:43 time: 0.3910 data_time: 0.0162 memory: 17007 grad_norm: 4.8548 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2537 loss: 3.2537 2022/07/27 01:37:58 - mmengine - INFO - Epoch(train) [20][3420/3757] lr: 9.7276e-03 eta: 2 days, 17:46:35 time: 0.3912 data_time: 0.0147 memory: 17007 grad_norm: 4.7795 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6987 loss: 3.6987 2022/07/27 01:38:06 - mmengine - INFO - Epoch(train) [20][3440/3757] lr: 9.7276e-03 eta: 2 days, 17:46:27 time: 0.3945 data_time: 0.0166 memory: 17007 grad_norm: 4.7991 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0221 loss: 3.0221 2022/07/27 01:38:14 - mmengine - INFO - Epoch(train) [20][3460/3757] lr: 9.7276e-03 eta: 2 days, 17:46:19 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 4.8873 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0723 loss: 3.0723 2022/07/27 01:38:21 - mmengine - INFO - Epoch(train) [20][3480/3757] lr: 9.7276e-03 eta: 2 days, 17:46:11 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 4.8505 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7964 loss: 2.7964 2022/07/27 01:38:29 - mmengine - INFO - Epoch(train) [20][3500/3757] lr: 9.7276e-03 eta: 2 days, 17:46:04 time: 0.4005 data_time: 0.0155 memory: 17007 grad_norm: 4.9155 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7209 loss: 2.7209 2022/07/27 01:38:37 - mmengine - INFO - Epoch(train) [20][3520/3757] lr: 9.7276e-03 eta: 2 days, 17:45:56 time: 0.3949 data_time: 0.0187 memory: 17007 grad_norm: 4.8746 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0522 loss: 3.0522 2022/07/27 01:38:45 - mmengine - INFO - Epoch(train) [20][3540/3757] lr: 9.7276e-03 eta: 2 days, 17:45:49 time: 0.3962 data_time: 0.0155 memory: 17007 grad_norm: 4.8824 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1712 loss: 3.1712 2022/07/27 01:38:53 - mmengine - INFO - Epoch(train) [20][3560/3757] lr: 9.7276e-03 eta: 2 days, 17:45:41 time: 0.3986 data_time: 0.0162 memory: 17007 grad_norm: 4.8868 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0580 loss: 3.0580 2022/07/27 01:39:01 - mmengine - INFO - Epoch(train) [20][3580/3757] lr: 9.7276e-03 eta: 2 days, 17:45:33 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 4.7862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9005 loss: 2.9005 2022/07/27 01:39:09 - mmengine - INFO - Epoch(train) [20][3600/3757] lr: 9.7276e-03 eta: 2 days, 17:45:26 time: 0.3964 data_time: 0.0168 memory: 17007 grad_norm: 4.8252 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1115 loss: 3.1115 2022/07/27 01:39:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:39:17 - mmengine - INFO - Epoch(train) [20][3620/3757] lr: 9.7276e-03 eta: 2 days, 17:45:18 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 4.8378 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0588 loss: 3.0588 2022/07/27 01:39:25 - mmengine - INFO - Epoch(train) [20][3640/3757] lr: 9.7276e-03 eta: 2 days, 17:45:10 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 4.8025 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1996 loss: 3.1996 2022/07/27 01:39:32 - mmengine - INFO - Epoch(train) [20][3660/3757] lr: 9.7276e-03 eta: 2 days, 17:45:02 time: 0.3910 data_time: 0.0141 memory: 17007 grad_norm: 4.7485 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8442 loss: 2.8442 2022/07/27 01:39:40 - mmengine - INFO - Epoch(train) [20][3680/3757] lr: 9.7276e-03 eta: 2 days, 17:44:53 time: 0.3910 data_time: 0.0154 memory: 17007 grad_norm: 4.8450 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7961 loss: 2.7961 2022/07/27 01:39:48 - mmengine - INFO - Epoch(train) [20][3700/3757] lr: 9.7276e-03 eta: 2 days, 17:44:46 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 4.9512 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9746 loss: 2.9746 2022/07/27 01:39:56 - mmengine - INFO - Epoch(train) [20][3720/3757] lr: 9.7276e-03 eta: 2 days, 17:44:38 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 4.8864 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7987 loss: 2.7987 2022/07/27 01:40:04 - mmengine - INFO - Epoch(train) [20][3740/3757] lr: 9.7276e-03 eta: 2 days, 17:44:30 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 4.8770 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3001 loss: 3.3001 2022/07/27 01:40:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:40:11 - mmengine - INFO - Epoch(train) [20][3757/3757] lr: 9.7276e-03 eta: 2 days, 17:44:30 time: 0.3875 data_time: 0.0167 memory: 17007 grad_norm: 4.7162 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.2153 loss: 3.2153 2022/07/27 01:40:11 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/07/27 01:41:28 - mmengine - INFO - Epoch(val) [20][20/310] eta: 0:18:09 time: 3.7563 data_time: 3.6350 memory: 3963 2022/07/27 01:41:31 - mmengine - INFO - Epoch(val) [20][40/310] eta: 0:00:42 time: 0.1556 data_time: 0.0526 memory: 3963 2022/07/27 01:41:35 - mmengine - INFO - Epoch(val) [20][60/310] eta: 0:00:46 time: 0.1873 data_time: 0.0860 memory: 3963 2022/07/27 01:41:38 - mmengine - INFO - Epoch(val) [20][80/310] eta: 0:00:35 time: 0.1534 data_time: 0.0467 memory: 3963 2022/07/27 01:41:42 - mmengine - INFO - Epoch(val) [20][100/310] eta: 0:00:37 time: 0.1773 data_time: 0.0718 memory: 3963 2022/07/27 01:41:45 - mmengine - INFO - Epoch(val) [20][120/310] eta: 0:00:30 time: 0.1593 data_time: 0.0522 memory: 3963 2022/07/27 01:41:48 - mmengine - INFO - Epoch(val) [20][140/310] eta: 0:00:28 time: 0.1687 data_time: 0.0660 memory: 3963 2022/07/27 01:41:52 - mmengine - INFO - Epoch(val) [20][160/310] eta: 0:00:26 time: 0.1787 data_time: 0.0748 memory: 3963 2022/07/27 01:41:55 - mmengine - INFO - Epoch(val) [20][180/310] eta: 0:00:20 time: 0.1609 data_time: 0.0550 memory: 3963 2022/07/27 01:41:58 - mmengine - INFO - Epoch(val) [20][200/310] eta: 0:00:17 time: 0.1602 data_time: 0.0548 memory: 3963 2022/07/27 01:42:01 - mmengine - INFO - Epoch(val) [20][220/310] eta: 0:00:13 time: 0.1545 data_time: 0.0513 memory: 3963 2022/07/27 01:42:05 - mmengine - INFO - Epoch(val) [20][240/310] eta: 0:00:11 time: 0.1667 data_time: 0.0597 memory: 3963 2022/07/27 01:42:08 - mmengine - INFO - Epoch(val) [20][260/310] eta: 0:00:08 time: 0.1797 data_time: 0.0759 memory: 3963 2022/07/27 01:42:11 - mmengine - INFO - Epoch(val) [20][280/310] eta: 0:00:04 time: 0.1521 data_time: 0.0491 memory: 3963 2022/07/27 01:42:15 - mmengine - INFO - Epoch(val) [20][300/310] eta: 0:00:01 time: 0.1968 data_time: 0.0917 memory: 3963 2022/07/27 01:42:21 - mmengine - INFO - Epoch(val) [20][310/310] acc/top1: 0.3881 acc/top5: 0.6744 acc/mean1: 0.3879 2022/07/27 01:42:23 - mmengine - INFO - The best checkpoint with 0.3881 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/07/27 01:42:32 - mmengine - INFO - Epoch(train) [21][20/3757] lr: 9.6985e-03 eta: 2 days, 17:43:31 time: 0.4488 data_time: 0.0615 memory: 17007 grad_norm: 4.8304 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8726 loss: 2.8726 2022/07/27 01:42:39 - mmengine - INFO - Epoch(train) [21][40/3757] lr: 9.6985e-03 eta: 2 days, 17:43:23 time: 0.3929 data_time: 0.0174 memory: 17007 grad_norm: 4.8791 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1294 loss: 3.1294 2022/07/27 01:42:47 - mmengine - INFO - Epoch(train) [21][60/3757] lr: 9.6985e-03 eta: 2 days, 17:43:15 time: 0.3922 data_time: 0.0150 memory: 17007 grad_norm: 4.9041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 3.1185 loss: 3.1185 2022/07/27 01:42:55 - mmengine - INFO - Epoch(train) [21][80/3757] lr: 9.6985e-03 eta: 2 days, 17:43:06 time: 0.3895 data_time: 0.0158 memory: 17007 grad_norm: 4.9760 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0015 loss: 3.0015 2022/07/27 01:43:03 - mmengine - INFO - Epoch(train) [21][100/3757] lr: 9.6985e-03 eta: 2 days, 17:42:58 time: 0.3911 data_time: 0.0155 memory: 17007 grad_norm: 4.7989 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0172 loss: 3.0172 2022/07/27 01:43:11 - mmengine - INFO - Epoch(train) [21][120/3757] lr: 9.6985e-03 eta: 2 days, 17:42:49 time: 0.3902 data_time: 0.0156 memory: 17007 grad_norm: 4.9191 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2719 loss: 3.2719 2022/07/27 01:43:19 - mmengine - INFO - Epoch(train) [21][140/3757] lr: 9.6985e-03 eta: 2 days, 17:42:42 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 4.8016 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0487 loss: 3.0487 2022/07/27 01:43:26 - mmengine - INFO - Epoch(train) [21][160/3757] lr: 9.6985e-03 eta: 2 days, 17:42:34 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 4.9641 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0402 loss: 3.0402 2022/07/27 01:43:34 - mmengine - INFO - Epoch(train) [21][180/3757] lr: 9.6985e-03 eta: 2 days, 17:42:26 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 4.9194 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4216 loss: 3.4216 2022/07/27 01:43:42 - mmengine - INFO - Epoch(train) [21][200/3757] lr: 9.6985e-03 eta: 2 days, 17:42:17 time: 0.3913 data_time: 0.0159 memory: 17007 grad_norm: 4.9576 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9785 loss: 2.9785 2022/07/27 01:43:50 - mmengine - INFO - Epoch(train) [21][220/3757] lr: 9.6985e-03 eta: 2 days, 17:42:09 time: 0.3910 data_time: 0.0149 memory: 17007 grad_norm: 4.8117 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0086 loss: 3.0086 2022/07/27 01:43:58 - mmengine - INFO - Epoch(train) [21][240/3757] lr: 9.6985e-03 eta: 2 days, 17:42:01 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 4.7831 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9901 loss: 2.9901 2022/07/27 01:44:06 - mmengine - INFO - Epoch(train) [21][260/3757] lr: 9.6985e-03 eta: 2 days, 17:41:53 time: 0.3901 data_time: 0.0142 memory: 17007 grad_norm: 4.9230 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8903 loss: 2.8903 2022/07/27 01:44:14 - mmengine - INFO - Epoch(train) [21][280/3757] lr: 9.6985e-03 eta: 2 days, 17:41:46 time: 0.3978 data_time: 0.0171 memory: 17007 grad_norm: 4.9433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9380 loss: 2.9380 2022/07/27 01:44:21 - mmengine - INFO - Epoch(train) [21][300/3757] lr: 9.6985e-03 eta: 2 days, 17:41:37 time: 0.3897 data_time: 0.0143 memory: 17007 grad_norm: 4.8846 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8925 loss: 2.8925 2022/07/27 01:44:29 - mmengine - INFO - Epoch(train) [21][320/3757] lr: 9.6985e-03 eta: 2 days, 17:41:29 time: 0.3904 data_time: 0.0155 memory: 17007 grad_norm: 5.0629 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1478 loss: 3.1478 2022/07/27 01:44:37 - mmengine - INFO - Epoch(train) [21][340/3757] lr: 9.6985e-03 eta: 2 days, 17:41:21 time: 0.3924 data_time: 0.0151 memory: 17007 grad_norm: 4.8517 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2810 loss: 3.2810 2022/07/27 01:44:45 - mmengine - INFO - Epoch(train) [21][360/3757] lr: 9.6985e-03 eta: 2 days, 17:41:13 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 4.8594 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.0376 loss: 3.0376 2022/07/27 01:44:53 - mmengine - INFO - Epoch(train) [21][380/3757] lr: 9.6985e-03 eta: 2 days, 17:41:05 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 4.7267 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0404 loss: 3.0404 2022/07/27 01:45:01 - mmengine - INFO - Epoch(train) [21][400/3757] lr: 9.6985e-03 eta: 2 days, 17:40:57 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 4.8436 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9503 loss: 2.9503 2022/07/27 01:45:08 - mmengine - INFO - Epoch(train) [21][420/3757] lr: 9.6985e-03 eta: 2 days, 17:40:49 time: 0.3928 data_time: 0.0159 memory: 17007 grad_norm: 4.8302 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8958 loss: 2.8958 2022/07/27 01:45:16 - mmengine - INFO - Epoch(train) [21][440/3757] lr: 9.6985e-03 eta: 2 days, 17:40:41 time: 0.3960 data_time: 0.0164 memory: 17007 grad_norm: 4.8192 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1195 loss: 3.1195 2022/07/27 01:45:24 - mmengine - INFO - Epoch(train) [21][460/3757] lr: 9.6985e-03 eta: 2 days, 17:40:33 time: 0.3912 data_time: 0.0152 memory: 17007 grad_norm: 4.8868 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1060 loss: 3.1060 2022/07/27 01:45:32 - mmengine - INFO - Epoch(train) [21][480/3757] lr: 9.6985e-03 eta: 2 days, 17:40:25 time: 0.3903 data_time: 0.0155 memory: 17007 grad_norm: 4.9529 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2467 loss: 3.2467 2022/07/27 01:45:40 - mmengine - INFO - Epoch(train) [21][500/3757] lr: 9.6985e-03 eta: 2 days, 17:40:17 time: 0.3963 data_time: 0.0159 memory: 17007 grad_norm: 4.8972 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8180 loss: 2.8180 2022/07/27 01:45:48 - mmengine - INFO - Epoch(train) [21][520/3757] lr: 9.6985e-03 eta: 2 days, 17:40:10 time: 0.3944 data_time: 0.0172 memory: 17007 grad_norm: 4.8700 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0451 loss: 3.0451 2022/07/27 01:45:56 - mmengine - INFO - Epoch(train) [21][540/3757] lr: 9.6985e-03 eta: 2 days, 17:40:01 time: 0.3917 data_time: 0.0143 memory: 17007 grad_norm: 4.8545 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0915 loss: 3.0915 2022/07/27 01:46:04 - mmengine - INFO - Epoch(train) [21][560/3757] lr: 9.6985e-03 eta: 2 days, 17:39:54 time: 0.3950 data_time: 0.0172 memory: 17007 grad_norm: 4.9472 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3078 loss: 3.3078 2022/07/27 01:46:11 - mmengine - INFO - Epoch(train) [21][580/3757] lr: 9.6985e-03 eta: 2 days, 17:39:46 time: 0.3912 data_time: 0.0155 memory: 17007 grad_norm: 4.8530 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7888 loss: 2.7888 2022/07/27 01:46:19 - mmengine - INFO - Epoch(train) [21][600/3757] lr: 9.6985e-03 eta: 2 days, 17:39:37 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 4.8292 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1135 loss: 3.1135 2022/07/27 01:46:27 - mmengine - INFO - Epoch(train) [21][620/3757] lr: 9.6985e-03 eta: 2 days, 17:39:29 time: 0.3911 data_time: 0.0155 memory: 17007 grad_norm: 4.8223 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2817 loss: 3.2817 2022/07/27 01:46:35 - mmengine - INFO - Epoch(train) [21][640/3757] lr: 9.6985e-03 eta: 2 days, 17:39:21 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 4.8432 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1202 loss: 3.1202 2022/07/27 01:46:43 - mmengine - INFO - Epoch(train) [21][660/3757] lr: 9.6985e-03 eta: 2 days, 17:39:14 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 4.9387 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2421 loss: 3.2421 2022/07/27 01:46:51 - mmengine - INFO - Epoch(train) [21][680/3757] lr: 9.6985e-03 eta: 2 days, 17:39:05 time: 0.3909 data_time: 0.0154 memory: 17007 grad_norm: 4.8769 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9286 loss: 2.9286 2022/07/27 01:46:59 - mmengine - INFO - Epoch(train) [21][700/3757] lr: 9.6985e-03 eta: 2 days, 17:38:57 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 4.7629 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2387 loss: 3.2387 2022/07/27 01:47:06 - mmengine - INFO - Epoch(train) [21][720/3757] lr: 9.6985e-03 eta: 2 days, 17:38:49 time: 0.3909 data_time: 0.0148 memory: 17007 grad_norm: 4.6644 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8401 loss: 2.8401 2022/07/27 01:47:14 - mmengine - INFO - Epoch(train) [21][740/3757] lr: 9.6985e-03 eta: 2 days, 17:38:41 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 4.7743 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3596 loss: 3.3596 2022/07/27 01:47:22 - mmengine - INFO - Epoch(train) [21][760/3757] lr: 9.6985e-03 eta: 2 days, 17:38:33 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 4.8286 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1018 loss: 3.1018 2022/07/27 01:47:30 - mmengine - INFO - Epoch(train) [21][780/3757] lr: 9.6985e-03 eta: 2 days, 17:38:24 time: 0.3894 data_time: 0.0136 memory: 17007 grad_norm: 4.8276 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9943 loss: 2.9943 2022/07/27 01:47:38 - mmengine - INFO - Epoch(train) [21][800/3757] lr: 9.6985e-03 eta: 2 days, 17:38:17 time: 0.3972 data_time: 0.0165 memory: 17007 grad_norm: 4.8557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8835 loss: 2.8835 2022/07/27 01:47:46 - mmengine - INFO - Epoch(train) [21][820/3757] lr: 9.6985e-03 eta: 2 days, 17:38:09 time: 0.3901 data_time: 0.0131 memory: 17007 grad_norm: 4.9634 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6869 loss: 2.6869 2022/07/27 01:47:54 - mmengine - INFO - Epoch(train) [21][840/3757] lr: 9.6985e-03 eta: 2 days, 17:38:02 time: 0.4013 data_time: 0.0163 memory: 17007 grad_norm: 4.9421 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0567 loss: 3.0567 2022/07/27 01:48:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:48:01 - mmengine - INFO - Epoch(train) [21][860/3757] lr: 9.6985e-03 eta: 2 days, 17:37:53 time: 0.3901 data_time: 0.0141 memory: 17007 grad_norm: 5.0242 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1270 loss: 3.1270 2022/07/27 01:48:09 - mmengine - INFO - Epoch(train) [21][880/3757] lr: 9.6985e-03 eta: 2 days, 17:37:45 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 5.0277 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0190 loss: 3.0190 2022/07/27 01:48:17 - mmengine - INFO - Epoch(train) [21][900/3757] lr: 9.6985e-03 eta: 2 days, 17:37:37 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 4.9148 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1674 loss: 3.1674 2022/07/27 01:48:25 - mmengine - INFO - Epoch(train) [21][920/3757] lr: 9.6985e-03 eta: 2 days, 17:37:29 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 4.6034 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.9892 loss: 2.9892 2022/07/27 01:48:33 - mmengine - INFO - Epoch(train) [21][940/3757] lr: 9.6985e-03 eta: 2 days, 17:37:21 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 4.8569 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9298 loss: 2.9298 2022/07/27 01:48:41 - mmengine - INFO - Epoch(train) [21][960/3757] lr: 9.6985e-03 eta: 2 days, 17:37:14 time: 0.3947 data_time: 0.0160 memory: 17007 grad_norm: 4.8394 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1337 loss: 3.1337 2022/07/27 01:48:49 - mmengine - INFO - Epoch(train) [21][980/3757] lr: 9.6985e-03 eta: 2 days, 17:37:05 time: 0.3908 data_time: 0.0148 memory: 17007 grad_norm: 4.9263 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0741 loss: 3.0741 2022/07/27 01:48:56 - mmengine - INFO - Epoch(train) [21][1000/3757] lr: 9.6985e-03 eta: 2 days, 17:36:57 time: 0.3916 data_time: 0.0155 memory: 17007 grad_norm: 5.1119 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9269 loss: 2.9269 2022/07/27 01:49:04 - mmengine - INFO - Epoch(train) [21][1020/3757] lr: 9.6985e-03 eta: 2 days, 17:36:49 time: 0.3904 data_time: 0.0159 memory: 17007 grad_norm: 4.8211 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9079 loss: 2.9079 2022/07/27 01:49:12 - mmengine - INFO - Epoch(train) [21][1040/3757] lr: 9.6985e-03 eta: 2 days, 17:36:40 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 4.7575 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1041 loss: 3.1041 2022/07/27 01:49:20 - mmengine - INFO - Epoch(train) [21][1060/3757] lr: 9.6985e-03 eta: 2 days, 17:36:33 time: 0.3950 data_time: 0.0177 memory: 17007 grad_norm: 4.8317 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0855 loss: 3.0855 2022/07/27 01:49:28 - mmengine - INFO - Epoch(train) [21][1080/3757] lr: 9.6985e-03 eta: 2 days, 17:36:25 time: 0.3914 data_time: 0.0161 memory: 17007 grad_norm: 4.9717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9909 loss: 2.9909 2022/07/27 01:49:36 - mmengine - INFO - Epoch(train) [21][1100/3757] lr: 9.6985e-03 eta: 2 days, 17:36:17 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 4.8401 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9345 loss: 2.9345 2022/07/27 01:49:43 - mmengine - INFO - Epoch(train) [21][1120/3757] lr: 9.6985e-03 eta: 2 days, 17:36:08 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 4.8621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0300 loss: 3.0300 2022/07/27 01:49:51 - mmengine - INFO - Epoch(train) [21][1140/3757] lr: 9.6985e-03 eta: 2 days, 17:36:00 time: 0.3904 data_time: 0.0145 memory: 17007 grad_norm: 4.7836 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.0315 loss: 3.0315 2022/07/27 01:49:59 - mmengine - INFO - Epoch(train) [21][1160/3757] lr: 9.6985e-03 eta: 2 days, 17:35:52 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 4.8737 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0770 loss: 3.0770 2022/07/27 01:50:07 - mmengine - INFO - Epoch(train) [21][1180/3757] lr: 9.6985e-03 eta: 2 days, 17:35:44 time: 0.3915 data_time: 0.0158 memory: 17007 grad_norm: 4.8317 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7355 loss: 2.7355 2022/07/27 01:50:15 - mmengine - INFO - Epoch(train) [21][1200/3757] lr: 9.6985e-03 eta: 2 days, 17:35:36 time: 0.3936 data_time: 0.0167 memory: 17007 grad_norm: 4.7597 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9830 loss: 2.9830 2022/07/27 01:50:23 - mmengine - INFO - Epoch(train) [21][1220/3757] lr: 9.6985e-03 eta: 2 days, 17:35:28 time: 0.3912 data_time: 0.0160 memory: 17007 grad_norm: 4.5967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8692 loss: 2.8692 2022/07/27 01:50:31 - mmengine - INFO - Epoch(train) [21][1240/3757] lr: 9.6985e-03 eta: 2 days, 17:35:20 time: 0.3943 data_time: 0.0168 memory: 17007 grad_norm: 4.8077 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9944 loss: 2.9944 2022/07/27 01:50:38 - mmengine - INFO - Epoch(train) [21][1260/3757] lr: 9.6985e-03 eta: 2 days, 17:35:12 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 4.9855 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1032 loss: 3.1032 2022/07/27 01:50:46 - mmengine - INFO - Epoch(train) [21][1280/3757] lr: 9.6985e-03 eta: 2 days, 17:35:04 time: 0.3923 data_time: 0.0171 memory: 17007 grad_norm: 4.9837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7665 loss: 2.7665 2022/07/27 01:50:54 - mmengine - INFO - Epoch(train) [21][1300/3757] lr: 9.6985e-03 eta: 2 days, 17:34:56 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 4.8868 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9856 loss: 2.9856 2022/07/27 01:51:02 - mmengine - INFO - Epoch(train) [21][1320/3757] lr: 9.6985e-03 eta: 2 days, 17:34:48 time: 0.3914 data_time: 0.0157 memory: 17007 grad_norm: 4.9550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0719 loss: 3.0719 2022/07/27 01:51:10 - mmengine - INFO - Epoch(train) [21][1340/3757] lr: 9.6985e-03 eta: 2 days, 17:34:40 time: 0.3972 data_time: 0.0164 memory: 17007 grad_norm: 5.0819 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8917 loss: 2.8917 2022/07/27 01:51:18 - mmengine - INFO - Epoch(train) [21][1360/3757] lr: 9.6985e-03 eta: 2 days, 17:34:33 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 4.7428 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0901 loss: 3.0901 2022/07/27 01:51:26 - mmengine - INFO - Epoch(train) [21][1380/3757] lr: 9.6985e-03 eta: 2 days, 17:34:25 time: 0.3943 data_time: 0.0166 memory: 17007 grad_norm: 5.0165 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3859 loss: 3.3859 2022/07/27 01:51:34 - mmengine - INFO - Epoch(train) [21][1400/3757] lr: 9.6985e-03 eta: 2 days, 17:34:17 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 4.8023 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0414 loss: 3.0414 2022/07/27 01:51:41 - mmengine - INFO - Epoch(train) [21][1420/3757] lr: 9.6985e-03 eta: 2 days, 17:34:08 time: 0.3905 data_time: 0.0147 memory: 17007 grad_norm: 4.9824 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2752 loss: 3.2752 2022/07/27 01:51:49 - mmengine - INFO - Epoch(train) [21][1440/3757] lr: 9.6985e-03 eta: 2 days, 17:34:02 time: 0.4047 data_time: 0.0168 memory: 17007 grad_norm: 4.8677 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9799 loss: 2.9799 2022/07/27 01:51:57 - mmengine - INFO - Epoch(train) [21][1460/3757] lr: 9.6985e-03 eta: 2 days, 17:33:54 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 5.0268 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2358 loss: 3.2358 2022/07/27 01:52:05 - mmengine - INFO - Epoch(train) [21][1480/3757] lr: 9.6985e-03 eta: 2 days, 17:33:46 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 4.8751 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1067 loss: 3.1067 2022/07/27 01:52:13 - mmengine - INFO - Epoch(train) [21][1500/3757] lr: 9.6985e-03 eta: 2 days, 17:33:38 time: 0.3906 data_time: 0.0154 memory: 17007 grad_norm: 5.0614 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0000 loss: 3.0000 2022/07/27 01:52:21 - mmengine - INFO - Epoch(train) [21][1520/3757] lr: 9.6985e-03 eta: 2 days, 17:33:30 time: 0.3907 data_time: 0.0151 memory: 17007 grad_norm: 5.2213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0785 loss: 3.0785 2022/07/27 01:52:29 - mmengine - INFO - Epoch(train) [21][1540/3757] lr: 9.6985e-03 eta: 2 days, 17:33:22 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 4.9484 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8343 loss: 2.8343 2022/07/27 01:52:37 - mmengine - INFO - Epoch(train) [21][1560/3757] lr: 9.6985e-03 eta: 2 days, 17:33:14 time: 0.3940 data_time: 0.0169 memory: 17007 grad_norm: 4.7408 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8698 loss: 2.8698 2022/07/27 01:52:44 - mmengine - INFO - Epoch(train) [21][1580/3757] lr: 9.6985e-03 eta: 2 days, 17:33:06 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 5.0640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2106 loss: 3.2106 2022/07/27 01:52:52 - mmengine - INFO - Epoch(train) [21][1600/3757] lr: 9.6985e-03 eta: 2 days, 17:32:58 time: 0.3919 data_time: 0.0158 memory: 17007 grad_norm: 4.9364 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1157 loss: 3.1157 2022/07/27 01:53:00 - mmengine - INFO - Epoch(train) [21][1620/3757] lr: 9.6985e-03 eta: 2 days, 17:32:50 time: 0.3926 data_time: 0.0161 memory: 17007 grad_norm: 4.7010 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7405 loss: 2.7405 2022/07/27 01:53:08 - mmengine - INFO - Epoch(train) [21][1640/3757] lr: 9.6985e-03 eta: 2 days, 17:32:44 time: 0.4051 data_time: 0.0169 memory: 17007 grad_norm: 4.8441 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0467 loss: 3.0467 2022/07/27 01:53:16 - mmengine - INFO - Epoch(train) [21][1660/3757] lr: 9.6985e-03 eta: 2 days, 17:32:36 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 4.7732 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8469 loss: 2.8469 2022/07/27 01:53:24 - mmengine - INFO - Epoch(train) [21][1680/3757] lr: 9.6985e-03 eta: 2 days, 17:32:28 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 4.8147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0291 loss: 3.0291 2022/07/27 01:53:32 - mmengine - INFO - Epoch(train) [21][1700/3757] lr: 9.6985e-03 eta: 2 days, 17:32:20 time: 0.3905 data_time: 0.0148 memory: 17007 grad_norm: 4.9137 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1442 loss: 3.1442 2022/07/27 01:53:40 - mmengine - INFO - Epoch(train) [21][1720/3757] lr: 9.6985e-03 eta: 2 days, 17:32:12 time: 0.3956 data_time: 0.0156 memory: 17007 grad_norm: 4.9325 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2352 loss: 3.2352 2022/07/27 01:53:48 - mmengine - INFO - Epoch(train) [21][1740/3757] lr: 9.6985e-03 eta: 2 days, 17:32:04 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 4.8667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8696 loss: 2.8696 2022/07/27 01:53:55 - mmengine - INFO - Epoch(train) [21][1760/3757] lr: 9.6985e-03 eta: 2 days, 17:31:56 time: 0.3940 data_time: 0.0166 memory: 17007 grad_norm: 5.0481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0036 loss: 3.0036 2022/07/27 01:54:03 - mmengine - INFO - Epoch(train) [21][1780/3757] lr: 9.6985e-03 eta: 2 days, 17:31:48 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 4.9699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1308 loss: 3.1308 2022/07/27 01:54:11 - mmengine - INFO - Epoch(train) [21][1800/3757] lr: 9.6985e-03 eta: 2 days, 17:31:40 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 4.6851 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1463 loss: 3.1463 2022/07/27 01:54:19 - mmengine - INFO - Epoch(train) [21][1820/3757] lr: 9.6985e-03 eta: 2 days, 17:31:32 time: 0.3899 data_time: 0.0139 memory: 17007 grad_norm: 4.8624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1853 loss: 3.1853 2022/07/27 01:54:27 - mmengine - INFO - Epoch(train) [21][1840/3757] lr: 9.6985e-03 eta: 2 days, 17:31:24 time: 0.3946 data_time: 0.0150 memory: 17007 grad_norm: 4.8106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7630 loss: 2.7630 2022/07/27 01:54:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 01:54:35 - mmengine - INFO - Epoch(train) [21][1860/3757] lr: 9.6985e-03 eta: 2 days, 17:31:16 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 4.7852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8421 loss: 2.8421 2022/07/27 01:54:43 - mmengine - INFO - Epoch(train) [21][1880/3757] lr: 9.6985e-03 eta: 2 days, 17:31:08 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 4.6950 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8179 loss: 2.8179 2022/07/27 01:54:50 - mmengine - INFO - Epoch(train) [21][1900/3757] lr: 9.6985e-03 eta: 2 days, 17:31:01 time: 0.3959 data_time: 0.0158 memory: 17007 grad_norm: 4.8081 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0063 loss: 3.0063 2022/07/27 01:54:58 - mmengine - INFO - Epoch(train) [21][1920/3757] lr: 9.6985e-03 eta: 2 days, 17:30:52 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 4.8092 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9448 loss: 2.9448 2022/07/27 01:55:06 - mmengine - INFO - Epoch(train) [21][1940/3757] lr: 9.6985e-03 eta: 2 days, 17:30:44 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 4.8938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.3185 loss: 3.3185 2022/07/27 01:55:14 - mmengine - INFO - Epoch(train) [21][1960/3757] lr: 9.6985e-03 eta: 2 days, 17:30:37 time: 0.3934 data_time: 0.0169 memory: 17007 grad_norm: 4.8847 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9734 loss: 2.9734 2022/07/27 01:55:22 - mmengine - INFO - Epoch(train) [21][1980/3757] lr: 9.6985e-03 eta: 2 days, 17:30:28 time: 0.3906 data_time: 0.0151 memory: 17007 grad_norm: 4.8358 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0148 loss: 3.0148 2022/07/27 01:55:30 - mmengine - INFO - Epoch(train) [21][2000/3757] lr: 9.6985e-03 eta: 2 days, 17:30:21 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 4.9321 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2376 loss: 3.2376 2022/07/27 01:55:38 - mmengine - INFO - Epoch(train) [21][2020/3757] lr: 9.6985e-03 eta: 2 days, 17:30:12 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 4.9688 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.2631 loss: 3.2631 2022/07/27 01:55:46 - mmengine - INFO - Epoch(train) [21][2040/3757] lr: 9.6985e-03 eta: 2 days, 17:30:05 time: 0.3969 data_time: 0.0164 memory: 17007 grad_norm: 4.9418 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0145 loss: 3.0145 2022/07/27 01:55:53 - mmengine - INFO - Epoch(train) [21][2060/3757] lr: 9.6985e-03 eta: 2 days, 17:29:57 time: 0.3909 data_time: 0.0153 memory: 17007 grad_norm: 5.0207 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9670 loss: 2.9670 2022/07/27 01:56:01 - mmengine - INFO - Epoch(train) [21][2080/3757] lr: 9.6985e-03 eta: 2 days, 17:29:49 time: 0.3923 data_time: 0.0159 memory: 17007 grad_norm: 4.9762 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8383 loss: 2.8383 2022/07/27 01:56:09 - mmengine - INFO - Epoch(train) [21][2100/3757] lr: 9.6985e-03 eta: 2 days, 17:29:41 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 4.9120 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2858 loss: 3.2858 2022/07/27 01:56:17 - mmengine - INFO - Epoch(train) [21][2120/3757] lr: 9.6985e-03 eta: 2 days, 17:29:33 time: 0.3921 data_time: 0.0162 memory: 17007 grad_norm: 4.8706 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2421 loss: 3.2421 2022/07/27 01:56:25 - mmengine - INFO - Epoch(train) [21][2140/3757] lr: 9.6985e-03 eta: 2 days, 17:29:25 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 4.8423 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.9108 loss: 2.9108 2022/07/27 01:56:33 - mmengine - INFO - Epoch(train) [21][2160/3757] lr: 9.6985e-03 eta: 2 days, 17:29:17 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 4.9038 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8975 loss: 2.8975 2022/07/27 01:56:40 - mmengine - INFO - Epoch(train) [21][2180/3757] lr: 9.6985e-03 eta: 2 days, 17:29:08 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 4.9898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8222 loss: 2.8222 2022/07/27 01:56:48 - mmengine - INFO - Epoch(train) [21][2200/3757] lr: 9.6985e-03 eta: 2 days, 17:29:00 time: 0.3930 data_time: 0.0164 memory: 17007 grad_norm: 4.8080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9060 loss: 2.9060 2022/07/27 01:56:56 - mmengine - INFO - Epoch(train) [21][2220/3757] lr: 9.6985e-03 eta: 2 days, 17:28:52 time: 0.3911 data_time: 0.0148 memory: 17007 grad_norm: 4.9408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9397 loss: 2.9397 2022/07/27 01:57:04 - mmengine - INFO - Epoch(train) [21][2240/3757] lr: 9.6985e-03 eta: 2 days, 17:28:44 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 4.8338 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1042 loss: 3.1042 2022/07/27 01:57:12 - mmengine - INFO - Epoch(train) [21][2260/3757] lr: 9.6985e-03 eta: 2 days, 17:28:36 time: 0.3903 data_time: 0.0142 memory: 17007 grad_norm: 4.6988 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9256 loss: 2.9256 2022/07/27 01:57:20 - mmengine - INFO - Epoch(train) [21][2280/3757] lr: 9.6985e-03 eta: 2 days, 17:28:29 time: 0.3993 data_time: 0.0146 memory: 17007 grad_norm: 4.8616 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1735 loss: 3.1735 2022/07/27 01:57:28 - mmengine - INFO - Epoch(train) [21][2300/3757] lr: 9.6985e-03 eta: 2 days, 17:28:21 time: 0.3917 data_time: 0.0162 memory: 17007 grad_norm: 4.8875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2147 loss: 3.2147 2022/07/27 01:57:35 - mmengine - INFO - Epoch(train) [21][2320/3757] lr: 9.6985e-03 eta: 2 days, 17:28:12 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 4.8797 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0583 loss: 3.0583 2022/07/27 01:57:43 - mmengine - INFO - Epoch(train) [21][2340/3757] lr: 9.6985e-03 eta: 2 days, 17:28:04 time: 0.3904 data_time: 0.0140 memory: 17007 grad_norm: 4.9669 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9713 loss: 2.9713 2022/07/27 01:57:51 - mmengine - INFO - Epoch(train) [21][2360/3757] lr: 9.6985e-03 eta: 2 days, 17:27:56 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 4.8394 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0436 loss: 3.0436 2022/07/27 01:57:59 - mmengine - INFO - Epoch(train) [21][2380/3757] lr: 9.6985e-03 eta: 2 days, 17:27:48 time: 0.3908 data_time: 0.0154 memory: 17007 grad_norm: 4.7193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2556 loss: 3.2556 2022/07/27 01:58:07 - mmengine - INFO - Epoch(train) [21][2400/3757] lr: 9.6985e-03 eta: 2 days, 17:27:40 time: 0.3953 data_time: 0.0164 memory: 17007 grad_norm: 4.8723 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0475 loss: 3.0475 2022/07/27 01:58:15 - mmengine - INFO - Epoch(train) [21][2420/3757] lr: 9.6985e-03 eta: 2 days, 17:27:32 time: 0.3909 data_time: 0.0148 memory: 17007 grad_norm: 4.9587 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9129 loss: 2.9129 2022/07/27 01:58:22 - mmengine - INFO - Epoch(train) [21][2440/3757] lr: 9.6985e-03 eta: 2 days, 17:27:24 time: 0.3909 data_time: 0.0154 memory: 17007 grad_norm: 4.9312 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9084 loss: 2.9084 2022/07/27 01:58:30 - mmengine - INFO - Epoch(train) [21][2460/3757] lr: 9.6985e-03 eta: 2 days, 17:27:16 time: 0.3956 data_time: 0.0156 memory: 17007 grad_norm: 4.8221 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8098 loss: 2.8098 2022/07/27 01:58:38 - mmengine - INFO - Epoch(train) [21][2480/3757] lr: 9.6985e-03 eta: 2 days, 17:27:08 time: 0.3910 data_time: 0.0151 memory: 17007 grad_norm: 4.9008 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2214 loss: 3.2214 2022/07/27 01:58:46 - mmengine - INFO - Epoch(train) [21][2500/3757] lr: 9.6985e-03 eta: 2 days, 17:27:00 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 4.8589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9777 loss: 2.9777 2022/07/27 01:58:54 - mmengine - INFO - Epoch(train) [21][2520/3757] lr: 9.6985e-03 eta: 2 days, 17:26:52 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 4.9338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9332 loss: 2.9332 2022/07/27 01:59:02 - mmengine - INFO - Epoch(train) [21][2540/3757] lr: 9.6985e-03 eta: 2 days, 17:26:44 time: 0.3904 data_time: 0.0150 memory: 17007 grad_norm: 4.7391 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9031 loss: 2.9031 2022/07/27 01:59:10 - mmengine - INFO - Epoch(train) [21][2560/3757] lr: 9.6985e-03 eta: 2 days, 17:26:36 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 4.9488 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1813 loss: 3.1813 2022/07/27 01:59:17 - mmengine - INFO - Epoch(train) [21][2580/3757] lr: 9.6985e-03 eta: 2 days, 17:26:28 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 4.9182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2950 loss: 3.2950 2022/07/27 01:59:25 - mmengine - INFO - Epoch(train) [21][2600/3757] lr: 9.6985e-03 eta: 2 days, 17:26:20 time: 0.3961 data_time: 0.0161 memory: 17007 grad_norm: 4.7680 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1068 loss: 3.1068 2022/07/27 01:59:33 - mmengine - INFO - Epoch(train) [21][2620/3757] lr: 9.6985e-03 eta: 2 days, 17:26:12 time: 0.3908 data_time: 0.0151 memory: 17007 grad_norm: 5.0164 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7694 loss: 2.7694 2022/07/27 01:59:41 - mmengine - INFO - Epoch(train) [21][2640/3757] lr: 9.6985e-03 eta: 2 days, 17:26:03 time: 0.3908 data_time: 0.0146 memory: 17007 grad_norm: 4.8658 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1328 loss: 3.1328 2022/07/27 01:59:49 - mmengine - INFO - Epoch(train) [21][2660/3757] lr: 9.6985e-03 eta: 2 days, 17:25:56 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 4.9069 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2101 loss: 3.2101 2022/07/27 01:59:57 - mmengine - INFO - Epoch(train) [21][2680/3757] lr: 9.6985e-03 eta: 2 days, 17:25:48 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 4.7579 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.3024 loss: 3.3024 2022/07/27 02:00:07 - mmengine - INFO - Epoch(train) [21][2700/3757] lr: 9.6985e-03 eta: 2 days, 17:25:58 time: 0.5128 data_time: 0.0189 memory: 17007 grad_norm: 4.9017 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1601 loss: 3.1601 2022/07/27 02:00:15 - mmengine - INFO - Epoch(train) [21][2720/3757] lr: 9.6985e-03 eta: 2 days, 17:25:50 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 4.8973 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0478 loss: 3.0478 2022/07/27 02:00:23 - mmengine - INFO - Epoch(train) [21][2740/3757] lr: 9.6985e-03 eta: 2 days, 17:25:42 time: 0.3908 data_time: 0.0141 memory: 17007 grad_norm: 4.9344 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9057 loss: 2.9057 2022/07/27 02:00:31 - mmengine - INFO - Epoch(train) [21][2760/3757] lr: 9.6985e-03 eta: 2 days, 17:25:34 time: 0.3962 data_time: 0.0169 memory: 17007 grad_norm: 4.8860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7530 loss: 2.7530 2022/07/27 02:00:38 - mmengine - INFO - Epoch(train) [21][2780/3757] lr: 9.6985e-03 eta: 2 days, 17:25:26 time: 0.3914 data_time: 0.0132 memory: 17007 grad_norm: 4.9927 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1456 loss: 3.1456 2022/07/27 02:00:46 - mmengine - INFO - Epoch(train) [21][2800/3757] lr: 9.6985e-03 eta: 2 days, 17:25:18 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 4.7632 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1189 loss: 3.1189 2022/07/27 02:00:54 - mmengine - INFO - Epoch(train) [21][2820/3757] lr: 9.6985e-03 eta: 2 days, 17:25:10 time: 0.3900 data_time: 0.0141 memory: 17007 grad_norm: 4.7954 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0717 loss: 3.0717 2022/07/27 02:01:02 - mmengine - INFO - Epoch(train) [21][2840/3757] lr: 9.6985e-03 eta: 2 days, 17:25:02 time: 0.3927 data_time: 0.0168 memory: 17007 grad_norm: 4.8095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0445 loss: 3.0445 2022/07/27 02:01:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:01:10 - mmengine - INFO - Epoch(train) [21][2860/3757] lr: 9.6985e-03 eta: 2 days, 17:24:55 time: 0.3989 data_time: 0.0129 memory: 17007 grad_norm: 4.9100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2677 loss: 3.2677 2022/07/27 02:01:18 - mmengine - INFO - Epoch(train) [21][2880/3757] lr: 9.6985e-03 eta: 2 days, 17:24:47 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 4.8696 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8326 loss: 2.8326 2022/07/27 02:01:26 - mmengine - INFO - Epoch(train) [21][2900/3757] lr: 9.6985e-03 eta: 2 days, 17:24:39 time: 0.3921 data_time: 0.0146 memory: 17007 grad_norm: 4.7302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1133 loss: 3.1133 2022/07/27 02:01:34 - mmengine - INFO - Epoch(train) [21][2920/3757] lr: 9.6985e-03 eta: 2 days, 17:24:31 time: 0.3922 data_time: 0.0162 memory: 17007 grad_norm: 4.8573 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0886 loss: 3.0886 2022/07/27 02:01:41 - mmengine - INFO - Epoch(train) [21][2940/3757] lr: 9.6985e-03 eta: 2 days, 17:24:23 time: 0.3924 data_time: 0.0134 memory: 17007 grad_norm: 4.9076 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9506 loss: 2.9506 2022/07/27 02:01:49 - mmengine - INFO - Epoch(train) [21][2960/3757] lr: 9.6985e-03 eta: 2 days, 17:24:15 time: 0.3918 data_time: 0.0154 memory: 17007 grad_norm: 4.9110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0011 loss: 3.0011 2022/07/27 02:01:57 - mmengine - INFO - Epoch(train) [21][2980/3757] lr: 9.6985e-03 eta: 2 days, 17:24:07 time: 0.3927 data_time: 0.0150 memory: 17007 grad_norm: 4.8271 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0331 loss: 3.0331 2022/07/27 02:02:05 - mmengine - INFO - Epoch(train) [21][3000/3757] lr: 9.6985e-03 eta: 2 days, 17:23:59 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 4.9493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0523 loss: 3.0523 2022/07/27 02:02:13 - mmengine - INFO - Epoch(train) [21][3020/3757] lr: 9.6985e-03 eta: 2 days, 17:23:50 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 4.9403 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0906 loss: 3.0906 2022/07/27 02:02:21 - mmengine - INFO - Epoch(train) [21][3040/3757] lr: 9.6985e-03 eta: 2 days, 17:23:43 time: 0.3951 data_time: 0.0165 memory: 17007 grad_norm: 4.7666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9568 loss: 2.9568 2022/07/27 02:02:29 - mmengine - INFO - Epoch(train) [21][3060/3757] lr: 9.6985e-03 eta: 2 days, 17:23:35 time: 0.3942 data_time: 0.0162 memory: 17007 grad_norm: 4.7380 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8420 loss: 2.8420 2022/07/27 02:02:36 - mmengine - INFO - Epoch(train) [21][3080/3757] lr: 9.6985e-03 eta: 2 days, 17:23:27 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 4.7956 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1041 loss: 3.1041 2022/07/27 02:02:44 - mmengine - INFO - Epoch(train) [21][3100/3757] lr: 9.6985e-03 eta: 2 days, 17:23:19 time: 0.3928 data_time: 0.0138 memory: 17007 grad_norm: 4.8418 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2072 loss: 3.2072 2022/07/27 02:02:52 - mmengine - INFO - Epoch(train) [21][3120/3757] lr: 9.6985e-03 eta: 2 days, 17:23:11 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 4.9441 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0443 loss: 3.0443 2022/07/27 02:03:00 - mmengine - INFO - Epoch(train) [21][3140/3757] lr: 9.6985e-03 eta: 2 days, 17:23:03 time: 0.3958 data_time: 0.0147 memory: 17007 grad_norm: 4.8591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1165 loss: 3.1165 2022/07/27 02:03:08 - mmengine - INFO - Epoch(train) [21][3160/3757] lr: 9.6985e-03 eta: 2 days, 17:22:56 time: 0.3942 data_time: 0.0165 memory: 17007 grad_norm: 4.9119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0480 loss: 3.0480 2022/07/27 02:03:16 - mmengine - INFO - Epoch(train) [21][3180/3757] lr: 9.6985e-03 eta: 2 days, 17:22:47 time: 0.3919 data_time: 0.0131 memory: 17007 grad_norm: 4.9491 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0632 loss: 3.0632 2022/07/27 02:03:24 - mmengine - INFO - Epoch(train) [21][3200/3757] lr: 9.6985e-03 eta: 2 days, 17:22:39 time: 0.3916 data_time: 0.0160 memory: 17007 grad_norm: 4.8182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7720 loss: 2.7720 2022/07/27 02:03:31 - mmengine - INFO - Epoch(train) [21][3220/3757] lr: 9.6985e-03 eta: 2 days, 17:22:31 time: 0.3920 data_time: 0.0139 memory: 17007 grad_norm: 4.9743 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8870 loss: 2.8870 2022/07/27 02:03:39 - mmengine - INFO - Epoch(train) [21][3240/3757] lr: 9.6985e-03 eta: 2 days, 17:22:24 time: 0.3980 data_time: 0.0159 memory: 17007 grad_norm: 4.7121 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9129 loss: 2.9129 2022/07/27 02:03:47 - mmengine - INFO - Epoch(train) [21][3260/3757] lr: 9.6985e-03 eta: 2 days, 17:22:16 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 4.8263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6671 loss: 2.6671 2022/07/27 02:03:55 - mmengine - INFO - Epoch(train) [21][3280/3757] lr: 9.6985e-03 eta: 2 days, 17:22:08 time: 0.3927 data_time: 0.0171 memory: 17007 grad_norm: 4.8437 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9505 loss: 2.9505 2022/07/27 02:04:03 - mmengine - INFO - Epoch(train) [21][3300/3757] lr: 9.6985e-03 eta: 2 days, 17:21:59 time: 0.3910 data_time: 0.0147 memory: 17007 grad_norm: 4.7405 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3843 loss: 3.3843 2022/07/27 02:04:11 - mmengine - INFO - Epoch(train) [21][3320/3757] lr: 9.6985e-03 eta: 2 days, 17:21:52 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 4.8354 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0051 loss: 3.0051 2022/07/27 02:04:19 - mmengine - INFO - Epoch(train) [21][3340/3757] lr: 9.6985e-03 eta: 2 days, 17:21:44 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 4.9164 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9982 loss: 2.9982 2022/07/27 02:04:27 - mmengine - INFO - Epoch(train) [21][3360/3757] lr: 9.6985e-03 eta: 2 days, 17:21:36 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 4.7446 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1976 loss: 3.1976 2022/07/27 02:04:34 - mmengine - INFO - Epoch(train) [21][3380/3757] lr: 9.6985e-03 eta: 2 days, 17:21:28 time: 0.3922 data_time: 0.0145 memory: 17007 grad_norm: 4.7475 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8308 loss: 2.8308 2022/07/27 02:04:42 - mmengine - INFO - Epoch(train) [21][3400/3757] lr: 9.6985e-03 eta: 2 days, 17:21:20 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 4.7055 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0548 loss: 3.0548 2022/07/27 02:04:50 - mmengine - INFO - Epoch(train) [21][3420/3757] lr: 9.6985e-03 eta: 2 days, 17:21:11 time: 0.3918 data_time: 0.0137 memory: 17007 grad_norm: 4.7895 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7652 loss: 2.7652 2022/07/27 02:04:58 - mmengine - INFO - Epoch(train) [21][3440/3757] lr: 9.6985e-03 eta: 2 days, 17:21:04 time: 0.3934 data_time: 0.0167 memory: 17007 grad_norm: 4.9006 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8946 loss: 2.8946 2022/07/27 02:05:06 - mmengine - INFO - Epoch(train) [21][3460/3757] lr: 9.6985e-03 eta: 2 days, 17:20:55 time: 0.3913 data_time: 0.0135 memory: 17007 grad_norm: 4.8272 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0770 loss: 3.0770 2022/07/27 02:05:14 - mmengine - INFO - Epoch(train) [21][3480/3757] lr: 9.6985e-03 eta: 2 days, 17:20:47 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 4.8416 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1457 loss: 3.1457 2022/07/27 02:05:22 - mmengine - INFO - Epoch(train) [21][3500/3757] lr: 9.6985e-03 eta: 2 days, 17:20:40 time: 0.4003 data_time: 0.0147 memory: 17007 grad_norm: 4.7419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9812 loss: 2.9812 2022/07/27 02:05:30 - mmengine - INFO - Epoch(train) [21][3520/3757] lr: 9.6985e-03 eta: 2 days, 17:20:32 time: 0.3934 data_time: 0.0165 memory: 17007 grad_norm: 4.8025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2142 loss: 3.2142 2022/07/27 02:05:37 - mmengine - INFO - Epoch(train) [21][3540/3757] lr: 9.6985e-03 eta: 2 days, 17:20:25 time: 0.3943 data_time: 0.0128 memory: 17007 grad_norm: 5.0858 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7716 loss: 2.7716 2022/07/27 02:05:45 - mmengine - INFO - Epoch(train) [21][3560/3757] lr: 9.6985e-03 eta: 2 days, 17:20:17 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 4.8465 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8249 loss: 2.8249 2022/07/27 02:05:53 - mmengine - INFO - Epoch(train) [21][3580/3757] lr: 9.6985e-03 eta: 2 days, 17:20:08 time: 0.3901 data_time: 0.0136 memory: 17007 grad_norm: 5.0647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2519 loss: 3.2519 2022/07/27 02:06:01 - mmengine - INFO - Epoch(train) [21][3600/3757] lr: 9.6985e-03 eta: 2 days, 17:20:00 time: 0.3940 data_time: 0.0168 memory: 17007 grad_norm: 4.7998 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7820 loss: 2.7820 2022/07/27 02:06:09 - mmengine - INFO - Epoch(train) [21][3620/3757] lr: 9.6985e-03 eta: 2 days, 17:19:53 time: 0.3990 data_time: 0.0141 memory: 17007 grad_norm: 4.7694 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9490 loss: 2.9490 2022/07/27 02:06:17 - mmengine - INFO - Epoch(train) [21][3640/3757] lr: 9.6985e-03 eta: 2 days, 17:19:45 time: 0.3939 data_time: 0.0173 memory: 17007 grad_norm: 4.8286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8749 loss: 2.8749 2022/07/27 02:06:25 - mmengine - INFO - Epoch(train) [21][3660/3757] lr: 9.6985e-03 eta: 2 days, 17:19:38 time: 0.3945 data_time: 0.0133 memory: 17007 grad_norm: 4.7371 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1149 loss: 3.1149 2022/07/27 02:06:33 - mmengine - INFO - Epoch(train) [21][3680/3757] lr: 9.6985e-03 eta: 2 days, 17:19:29 time: 0.3915 data_time: 0.0153 memory: 17007 grad_norm: 5.0038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1236 loss: 3.1236 2022/07/27 02:06:40 - mmengine - INFO - Epoch(train) [21][3700/3757] lr: 9.6985e-03 eta: 2 days, 17:19:21 time: 0.3920 data_time: 0.0136 memory: 17007 grad_norm: 4.9578 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9497 loss: 2.9497 2022/07/27 02:06:48 - mmengine - INFO - Epoch(train) [21][3720/3757] lr: 9.6985e-03 eta: 2 days, 17:19:14 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 4.9460 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2177 loss: 3.2177 2022/07/27 02:06:56 - mmengine - INFO - Epoch(train) [21][3740/3757] lr: 9.6985e-03 eta: 2 days, 17:19:05 time: 0.3922 data_time: 0.0141 memory: 17007 grad_norm: 4.8911 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8700 loss: 2.8700 2022/07/27 02:07:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:07:03 - mmengine - INFO - Epoch(train) [21][3757/3757] lr: 9.6985e-03 eta: 2 days, 17:19:05 time: 0.3890 data_time: 0.0161 memory: 17007 grad_norm: 4.9614 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 2.9924 loss: 2.9924 2022/07/27 02:07:03 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/07/27 02:07:14 - mmengine - INFO - Epoch(train) [22][20/3757] lr: 9.6679e-03 eta: 2 days, 17:18:11 time: 0.4625 data_time: 0.0855 memory: 17007 grad_norm: 4.7275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0025 loss: 3.0025 2022/07/27 02:07:22 - mmengine - INFO - Epoch(train) [22][40/3757] lr: 9.6679e-03 eta: 2 days, 17:18:03 time: 0.3944 data_time: 0.0165 memory: 17007 grad_norm: 4.8434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9644 loss: 2.9644 2022/07/27 02:07:30 - mmengine - INFO - Epoch(train) [22][60/3757] lr: 9.6679e-03 eta: 2 days, 17:17:55 time: 0.3919 data_time: 0.0150 memory: 17007 grad_norm: 4.7290 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8129 loss: 2.8129 2022/07/27 02:07:37 - mmengine - INFO - Epoch(train) [22][80/3757] lr: 9.6679e-03 eta: 2 days, 17:17:47 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 5.0060 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8463 loss: 2.8463 2022/07/27 02:07:45 - mmengine - INFO - Epoch(train) [22][100/3757] lr: 9.6679e-03 eta: 2 days, 17:17:39 time: 0.3934 data_time: 0.0143 memory: 17007 grad_norm: 4.9045 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1832 loss: 3.1832 2022/07/27 02:07:46 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:07:53 - mmengine - INFO - Epoch(train) [22][120/3757] lr: 9.6679e-03 eta: 2 days, 17:17:32 time: 0.3978 data_time: 0.0166 memory: 17007 grad_norm: 4.9900 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0268 loss: 3.0268 2022/07/27 02:08:01 - mmengine - INFO - Epoch(train) [22][140/3757] lr: 9.6679e-03 eta: 2 days, 17:17:23 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 4.7705 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1992 loss: 3.1992 2022/07/27 02:08:09 - mmengine - INFO - Epoch(train) [22][160/3757] lr: 9.6679e-03 eta: 2 days, 17:17:16 time: 0.3956 data_time: 0.0168 memory: 17007 grad_norm: 4.8543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7767 loss: 2.7767 2022/07/27 02:08:17 - mmengine - INFO - Epoch(train) [22][180/3757] lr: 9.6679e-03 eta: 2 days, 17:17:08 time: 0.3913 data_time: 0.0145 memory: 17007 grad_norm: 4.9566 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1810 loss: 3.1810 2022/07/27 02:08:25 - mmengine - INFO - Epoch(train) [22][200/3757] lr: 9.6679e-03 eta: 2 days, 17:17:00 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 4.8072 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0141 loss: 3.0141 2022/07/27 02:08:32 - mmengine - INFO - Epoch(train) [22][220/3757] lr: 9.6679e-03 eta: 2 days, 17:16:51 time: 0.3910 data_time: 0.0144 memory: 17007 grad_norm: 4.9249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8048 loss: 2.8048 2022/07/27 02:08:40 - mmengine - INFO - Epoch(train) [22][240/3757] lr: 9.6679e-03 eta: 2 days, 17:16:43 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 4.9279 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8837 loss: 2.8837 2022/07/27 02:08:48 - mmengine - INFO - Epoch(train) [22][260/3757] lr: 9.6679e-03 eta: 2 days, 17:16:36 time: 0.3943 data_time: 0.0161 memory: 17007 grad_norm: 4.8372 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5073 loss: 3.5073 2022/07/27 02:08:56 - mmengine - INFO - Epoch(train) [22][280/3757] lr: 9.6679e-03 eta: 2 days, 17:16:27 time: 0.3916 data_time: 0.0155 memory: 17007 grad_norm: 4.9832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9246 loss: 2.9246 2022/07/27 02:09:04 - mmengine - INFO - Epoch(train) [22][300/3757] lr: 9.6679e-03 eta: 2 days, 17:16:19 time: 0.3922 data_time: 0.0150 memory: 17007 grad_norm: 5.0866 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1506 loss: 3.1506 2022/07/27 02:09:12 - mmengine - INFO - Epoch(train) [22][320/3757] lr: 9.6679e-03 eta: 2 days, 17:16:11 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 4.7817 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9763 loss: 2.9763 2022/07/27 02:09:20 - mmengine - INFO - Epoch(train) [22][340/3757] lr: 9.6679e-03 eta: 2 days, 17:16:03 time: 0.3906 data_time: 0.0135 memory: 17007 grad_norm: 4.9087 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7023 loss: 2.7023 2022/07/27 02:09:27 - mmengine - INFO - Epoch(train) [22][360/3757] lr: 9.6679e-03 eta: 2 days, 17:15:55 time: 0.3903 data_time: 0.0161 memory: 17007 grad_norm: 4.6642 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1138 loss: 3.1138 2022/07/27 02:09:35 - mmengine - INFO - Epoch(train) [22][380/3757] lr: 9.6679e-03 eta: 2 days, 17:15:47 time: 0.3956 data_time: 0.0144 memory: 17007 grad_norm: 5.0061 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0212 loss: 3.0212 2022/07/27 02:09:43 - mmengine - INFO - Epoch(train) [22][400/3757] lr: 9.6679e-03 eta: 2 days, 17:15:39 time: 0.3908 data_time: 0.0155 memory: 17007 grad_norm: 5.0106 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3163 loss: 3.3163 2022/07/27 02:09:51 - mmengine - INFO - Epoch(train) [22][420/3757] lr: 9.6679e-03 eta: 2 days, 17:15:31 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 5.0396 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7895 loss: 2.7895 2022/07/27 02:09:59 - mmengine - INFO - Epoch(train) [22][440/3757] lr: 9.6679e-03 eta: 2 days, 17:15:23 time: 0.3947 data_time: 0.0164 memory: 17007 grad_norm: 5.0596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2436 loss: 3.2436 2022/07/27 02:10:07 - mmengine - INFO - Epoch(train) [22][460/3757] lr: 9.6679e-03 eta: 2 days, 17:15:15 time: 0.3920 data_time: 0.0163 memory: 17007 grad_norm: 4.9486 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8218 loss: 2.8218 2022/07/27 02:10:15 - mmengine - INFO - Epoch(train) [22][480/3757] lr: 9.6679e-03 eta: 2 days, 17:15:07 time: 0.3942 data_time: 0.0180 memory: 17007 grad_norm: 4.7703 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7942 loss: 2.7942 2022/07/27 02:10:22 - mmengine - INFO - Epoch(train) [22][500/3757] lr: 9.6679e-03 eta: 2 days, 17:14:59 time: 0.3904 data_time: 0.0144 memory: 17007 grad_norm: 4.7931 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9591 loss: 2.9591 2022/07/27 02:10:30 - mmengine - INFO - Epoch(train) [22][520/3757] lr: 9.6679e-03 eta: 2 days, 17:14:51 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 4.8182 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9180 loss: 2.9180 2022/07/27 02:10:38 - mmengine - INFO - Epoch(train) [22][540/3757] lr: 9.6679e-03 eta: 2 days, 17:14:43 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 4.9023 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9298 loss: 2.9298 2022/07/27 02:10:46 - mmengine - INFO - Epoch(train) [22][560/3757] lr: 9.6679e-03 eta: 2 days, 17:14:35 time: 0.3924 data_time: 0.0163 memory: 17007 grad_norm: 4.9696 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2140 loss: 3.2140 2022/07/27 02:10:54 - mmengine - INFO - Epoch(train) [22][580/3757] lr: 9.6679e-03 eta: 2 days, 17:14:26 time: 0.3903 data_time: 0.0154 memory: 17007 grad_norm: 4.9111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0438 loss: 3.0438 2022/07/27 02:11:02 - mmengine - INFO - Epoch(train) [22][600/3757] lr: 9.6679e-03 eta: 2 days, 17:14:19 time: 0.3992 data_time: 0.0154 memory: 17007 grad_norm: 4.8272 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9298 loss: 2.9298 2022/07/27 02:11:10 - mmengine - INFO - Epoch(train) [22][620/3757] lr: 9.6679e-03 eta: 2 days, 17:14:11 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 4.8270 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9567 loss: 2.9567 2022/07/27 02:11:17 - mmengine - INFO - Epoch(train) [22][640/3757] lr: 9.6679e-03 eta: 2 days, 17:14:03 time: 0.3918 data_time: 0.0159 memory: 17007 grad_norm: 4.9968 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7377 loss: 2.7377 2022/07/27 02:11:25 - mmengine - INFO - Epoch(train) [22][660/3757] lr: 9.6679e-03 eta: 2 days, 17:13:56 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 4.9004 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7672 loss: 2.7672 2022/07/27 02:11:33 - mmengine - INFO - Epoch(train) [22][680/3757] lr: 9.6679e-03 eta: 2 days, 17:13:48 time: 0.3918 data_time: 0.0165 memory: 17007 grad_norm: 5.0483 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8784 loss: 2.8784 2022/07/27 02:11:41 - mmengine - INFO - Epoch(train) [22][700/3757] lr: 9.6679e-03 eta: 2 days, 17:13:40 time: 0.3979 data_time: 0.0149 memory: 17007 grad_norm: 4.8529 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1053 loss: 3.1053 2022/07/27 02:11:49 - mmengine - INFO - Epoch(train) [22][720/3757] lr: 9.6679e-03 eta: 2 days, 17:13:32 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 4.7689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9250 loss: 2.9250 2022/07/27 02:11:57 - mmengine - INFO - Epoch(train) [22][740/3757] lr: 9.6679e-03 eta: 2 days, 17:13:24 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 4.7056 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8320 loss: 2.8320 2022/07/27 02:12:05 - mmengine - INFO - Epoch(train) [22][760/3757] lr: 9.6679e-03 eta: 2 days, 17:13:16 time: 0.3910 data_time: 0.0160 memory: 17007 grad_norm: 4.8883 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2246 loss: 3.2246 2022/07/27 02:12:13 - mmengine - INFO - Epoch(train) [22][780/3757] lr: 9.6679e-03 eta: 2 days, 17:13:09 time: 0.4010 data_time: 0.0158 memory: 17007 grad_norm: 4.8072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6139 loss: 2.6139 2022/07/27 02:12:21 - mmengine - INFO - Epoch(train) [22][800/3757] lr: 9.6679e-03 eta: 2 days, 17:13:02 time: 0.3948 data_time: 0.0168 memory: 17007 grad_norm: 4.7849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7528 loss: 2.7528 2022/07/27 02:12:28 - mmengine - INFO - Epoch(train) [22][820/3757] lr: 9.6679e-03 eta: 2 days, 17:12:53 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 5.0610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4419 loss: 3.4419 2022/07/27 02:12:36 - mmengine - INFO - Epoch(train) [22][840/3757] lr: 9.6679e-03 eta: 2 days, 17:12:45 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 4.8445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5782 loss: 2.5782 2022/07/27 02:12:44 - mmengine - INFO - Epoch(train) [22][860/3757] lr: 9.6679e-03 eta: 2 days, 17:12:37 time: 0.3912 data_time: 0.0148 memory: 17007 grad_norm: 4.7939 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8047 loss: 2.8047 2022/07/27 02:12:52 - mmengine - INFO - Epoch(train) [22][880/3757] lr: 9.6679e-03 eta: 2 days, 17:12:30 time: 0.3950 data_time: 0.0171 memory: 17007 grad_norm: 4.9490 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8525 loss: 2.8525 2022/07/27 02:13:00 - mmengine - INFO - Epoch(train) [22][900/3757] lr: 9.6679e-03 eta: 2 days, 17:12:21 time: 0.3912 data_time: 0.0151 memory: 17007 grad_norm: 5.3554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0727 loss: 3.0727 2022/07/27 02:13:08 - mmengine - INFO - Epoch(train) [22][920/3757] lr: 9.6679e-03 eta: 2 days, 17:12:14 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 4.9568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7691 loss: 2.7691 2022/07/27 02:13:16 - mmengine - INFO - Epoch(train) [22][940/3757] lr: 9.6679e-03 eta: 2 days, 17:12:06 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 4.9761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8670 loss: 2.8670 2022/07/27 02:13:23 - mmengine - INFO - Epoch(train) [22][960/3757] lr: 9.6679e-03 eta: 2 days, 17:11:58 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 4.8632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9885 loss: 2.9885 2022/07/27 02:13:31 - mmengine - INFO - Epoch(train) [22][980/3757] lr: 9.6679e-03 eta: 2 days, 17:11:49 time: 0.3904 data_time: 0.0142 memory: 17007 grad_norm: 4.9145 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0769 loss: 3.0769 2022/07/27 02:13:39 - mmengine - INFO - Epoch(train) [22][1000/3757] lr: 9.6679e-03 eta: 2 days, 17:11:42 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 4.8263 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8485 loss: 2.8485 2022/07/27 02:13:47 - mmengine - INFO - Epoch(train) [22][1020/3757] lr: 9.6679e-03 eta: 2 days, 17:11:34 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 4.8645 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0462 loss: 3.0462 2022/07/27 02:13:55 - mmengine - INFO - Epoch(train) [22][1040/3757] lr: 9.6679e-03 eta: 2 days, 17:11:26 time: 0.3914 data_time: 0.0160 memory: 17007 grad_norm: 4.8954 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0385 loss: 3.0385 2022/07/27 02:14:03 - mmengine - INFO - Epoch(train) [22][1060/3757] lr: 9.6679e-03 eta: 2 days, 17:11:18 time: 0.3952 data_time: 0.0165 memory: 17007 grad_norm: 4.9031 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7902 loss: 2.7902 2022/07/27 02:14:11 - mmengine - INFO - Epoch(train) [22][1080/3757] lr: 9.6679e-03 eta: 2 days, 17:11:10 time: 0.3929 data_time: 0.0169 memory: 17007 grad_norm: 4.9639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8017 loss: 2.8017 2022/07/27 02:14:19 - mmengine - INFO - Epoch(train) [22][1100/3757] lr: 9.6679e-03 eta: 2 days, 17:11:02 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 4.9291 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3108 loss: 3.3108 2022/07/27 02:14:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:14:26 - mmengine - INFO - Epoch(train) [22][1120/3757] lr: 9.6679e-03 eta: 2 days, 17:10:54 time: 0.3934 data_time: 0.0166 memory: 17007 grad_norm: 4.9480 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0933 loss: 3.0933 2022/07/27 02:14:34 - mmengine - INFO - Epoch(train) [22][1140/3757] lr: 9.6679e-03 eta: 2 days, 17:10:46 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 4.9973 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9799 loss: 2.9799 2022/07/27 02:14:42 - mmengine - INFO - Epoch(train) [22][1160/3757] lr: 9.6679e-03 eta: 2 days, 17:10:39 time: 0.3984 data_time: 0.0159 memory: 17007 grad_norm: 4.9834 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1976 loss: 3.1976 2022/07/27 02:14:50 - mmengine - INFO - Epoch(train) [22][1180/3757] lr: 9.6679e-03 eta: 2 days, 17:10:31 time: 0.3958 data_time: 0.0159 memory: 17007 grad_norm: 4.7578 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9268 loss: 2.9268 2022/07/27 02:14:58 - mmengine - INFO - Epoch(train) [22][1200/3757] lr: 9.6679e-03 eta: 2 days, 17:10:24 time: 0.3992 data_time: 0.0162 memory: 17007 grad_norm: 4.9410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1209 loss: 3.1209 2022/07/27 02:15:06 - mmengine - INFO - Epoch(train) [22][1220/3757] lr: 9.6679e-03 eta: 2 days, 17:10:17 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 4.8194 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3421 loss: 3.3421 2022/07/27 02:15:14 - mmengine - INFO - Epoch(train) [22][1240/3757] lr: 9.6679e-03 eta: 2 days, 17:10:08 time: 0.3910 data_time: 0.0161 memory: 17007 grad_norm: 4.8868 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1263 loss: 3.1263 2022/07/27 02:15:22 - mmengine - INFO - Epoch(train) [22][1260/3757] lr: 9.6679e-03 eta: 2 days, 17:10:00 time: 0.3919 data_time: 0.0149 memory: 17007 grad_norm: 5.0046 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0004 loss: 3.0004 2022/07/27 02:15:30 - mmengine - INFO - Epoch(train) [22][1280/3757] lr: 9.6679e-03 eta: 2 days, 17:09:53 time: 0.3952 data_time: 0.0183 memory: 17007 grad_norm: 4.8136 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1593 loss: 3.1593 2022/07/27 02:15:37 - mmengine - INFO - Epoch(train) [22][1300/3757] lr: 9.6679e-03 eta: 2 days, 17:09:45 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 4.8860 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7094 loss: 2.7094 2022/07/27 02:15:45 - mmengine - INFO - Epoch(train) [22][1320/3757] lr: 9.6679e-03 eta: 2 days, 17:09:37 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 4.9880 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8478 loss: 2.8478 2022/07/27 02:15:53 - mmengine - INFO - Epoch(train) [22][1340/3757] lr: 9.6679e-03 eta: 2 days, 17:09:29 time: 0.3917 data_time: 0.0165 memory: 17007 grad_norm: 4.9827 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9249 loss: 2.9249 2022/07/27 02:16:01 - mmengine - INFO - Epoch(train) [22][1360/3757] lr: 9.6679e-03 eta: 2 days, 17:09:22 time: 0.4025 data_time: 0.0152 memory: 17007 grad_norm: 5.0117 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1672 loss: 3.1672 2022/07/27 02:16:09 - mmengine - INFO - Epoch(train) [22][1380/3757] lr: 9.6679e-03 eta: 2 days, 17:09:14 time: 0.3926 data_time: 0.0146 memory: 17007 grad_norm: 5.1498 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8151 loss: 2.8151 2022/07/27 02:16:17 - mmengine - INFO - Epoch(train) [22][1400/3757] lr: 9.6679e-03 eta: 2 days, 17:09:06 time: 0.3931 data_time: 0.0169 memory: 17007 grad_norm: 4.8953 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1679 loss: 3.1679 2022/07/27 02:16:25 - mmengine - INFO - Epoch(train) [22][1420/3757] lr: 9.6679e-03 eta: 2 days, 17:08:58 time: 0.3917 data_time: 0.0161 memory: 17007 grad_norm: 4.7698 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0162 loss: 3.0162 2022/07/27 02:16:33 - mmengine - INFO - Epoch(train) [22][1440/3757] lr: 9.6679e-03 eta: 2 days, 17:08:50 time: 0.3935 data_time: 0.0155 memory: 17007 grad_norm: 5.0421 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2381 loss: 3.2381 2022/07/27 02:16:40 - mmengine - INFO - Epoch(train) [22][1460/3757] lr: 9.6679e-03 eta: 2 days, 17:08:43 time: 0.3958 data_time: 0.0161 memory: 17007 grad_norm: 4.9487 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7600 loss: 2.7600 2022/07/27 02:16:48 - mmengine - INFO - Epoch(train) [22][1480/3757] lr: 9.6679e-03 eta: 2 days, 17:08:35 time: 0.3938 data_time: 0.0168 memory: 17007 grad_norm: 5.0231 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1836 loss: 3.1836 2022/07/27 02:16:56 - mmengine - INFO - Epoch(train) [22][1500/3757] lr: 9.6679e-03 eta: 2 days, 17:08:27 time: 0.3969 data_time: 0.0188 memory: 17007 grad_norm: 4.9203 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9946 loss: 2.9946 2022/07/27 02:17:04 - mmengine - INFO - Epoch(train) [22][1520/3757] lr: 9.6679e-03 eta: 2 days, 17:08:19 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 4.9989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9399 loss: 2.9399 2022/07/27 02:17:12 - mmengine - INFO - Epoch(train) [22][1540/3757] lr: 9.6679e-03 eta: 2 days, 17:08:11 time: 0.3904 data_time: 0.0147 memory: 17007 grad_norm: 5.0095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1663 loss: 3.1663 2022/07/27 02:17:20 - mmengine - INFO - Epoch(train) [22][1560/3757] lr: 9.6679e-03 eta: 2 days, 17:08:04 time: 0.4012 data_time: 0.0173 memory: 17007 grad_norm: 5.0577 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9919 loss: 2.9919 2022/07/27 02:17:28 - mmengine - INFO - Epoch(train) [22][1580/3757] lr: 9.6679e-03 eta: 2 days, 17:07:56 time: 0.3925 data_time: 0.0148 memory: 17007 grad_norm: 4.9292 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2288 loss: 3.2288 2022/07/27 02:17:36 - mmengine - INFO - Epoch(train) [22][1600/3757] lr: 9.6679e-03 eta: 2 days, 17:07:48 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 5.0477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8410 loss: 2.8410 2022/07/27 02:17:44 - mmengine - INFO - Epoch(train) [22][1620/3757] lr: 9.6679e-03 eta: 2 days, 17:07:40 time: 0.3913 data_time: 0.0140 memory: 17007 grad_norm: 4.9033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4975 loss: 2.4975 2022/07/27 02:17:51 - mmengine - INFO - Epoch(train) [22][1640/3757] lr: 9.6679e-03 eta: 2 days, 17:07:32 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 4.9302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9386 loss: 2.9386 2022/07/27 02:17:59 - mmengine - INFO - Epoch(train) [22][1660/3757] lr: 9.6679e-03 eta: 2 days, 17:07:24 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 4.9740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9161 loss: 2.9161 2022/07/27 02:18:07 - mmengine - INFO - Epoch(train) [22][1680/3757] lr: 9.6679e-03 eta: 2 days, 17:07:16 time: 0.3922 data_time: 0.0168 memory: 17007 grad_norm: 4.9959 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9389 loss: 2.9389 2022/07/27 02:18:15 - mmengine - INFO - Epoch(train) [22][1700/3757] lr: 9.6679e-03 eta: 2 days, 17:07:08 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 4.8494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9597 loss: 2.9597 2022/07/27 02:18:23 - mmengine - INFO - Epoch(train) [22][1720/3757] lr: 9.6679e-03 eta: 2 days, 17:07:00 time: 0.3924 data_time: 0.0166 memory: 17007 grad_norm: 4.9521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0382 loss: 3.0382 2022/07/27 02:18:31 - mmengine - INFO - Epoch(train) [22][1740/3757] lr: 9.6679e-03 eta: 2 days, 17:06:51 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 4.7841 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9469 loss: 2.9469 2022/07/27 02:18:38 - mmengine - INFO - Epoch(train) [22][1760/3757] lr: 9.6679e-03 eta: 2 days, 17:06:44 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 4.8276 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2219 loss: 3.2219 2022/07/27 02:18:46 - mmengine - INFO - Epoch(train) [22][1780/3757] lr: 9.6679e-03 eta: 2 days, 17:06:36 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 4.8262 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1087 loss: 3.1087 2022/07/27 02:18:54 - mmengine - INFO - Epoch(train) [22][1800/3757] lr: 9.6679e-03 eta: 2 days, 17:06:28 time: 0.3934 data_time: 0.0168 memory: 17007 grad_norm: 4.8587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9442 loss: 2.9442 2022/07/27 02:19:02 - mmengine - INFO - Epoch(train) [22][1820/3757] lr: 9.6679e-03 eta: 2 days, 17:06:20 time: 0.3926 data_time: 0.0155 memory: 17007 grad_norm: 5.0214 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9781 loss: 2.9781 2022/07/27 02:19:10 - mmengine - INFO - Epoch(train) [22][1840/3757] lr: 9.6679e-03 eta: 2 days, 17:06:13 time: 0.3987 data_time: 0.0162 memory: 17007 grad_norm: 4.8736 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1011 loss: 3.1011 2022/07/27 02:19:18 - mmengine - INFO - Epoch(train) [22][1860/3757] lr: 9.6679e-03 eta: 2 days, 17:06:05 time: 0.3981 data_time: 0.0150 memory: 17007 grad_norm: 4.9349 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1457 loss: 3.1457 2022/07/27 02:19:26 - mmengine - INFO - Epoch(train) [22][1880/3757] lr: 9.6679e-03 eta: 2 days, 17:05:57 time: 0.3915 data_time: 0.0156 memory: 17007 grad_norm: 4.8387 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9635 loss: 2.9635 2022/07/27 02:19:34 - mmengine - INFO - Epoch(train) [22][1900/3757] lr: 9.6679e-03 eta: 2 days, 17:05:49 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 4.8751 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2285 loss: 3.2285 2022/07/27 02:19:42 - mmengine - INFO - Epoch(train) [22][1920/3757] lr: 9.6679e-03 eta: 2 days, 17:05:42 time: 0.3980 data_time: 0.0190 memory: 17007 grad_norm: 4.9386 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1244 loss: 3.1244 2022/07/27 02:19:49 - mmengine - INFO - Epoch(train) [22][1940/3757] lr: 9.6679e-03 eta: 2 days, 17:05:34 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 5.0770 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8391 loss: 2.8391 2022/07/27 02:19:57 - mmengine - INFO - Epoch(train) [22][1960/3757] lr: 9.6679e-03 eta: 2 days, 17:05:26 time: 0.3942 data_time: 0.0172 memory: 17007 grad_norm: 4.9787 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2121 loss: 3.2121 2022/07/27 02:20:05 - mmengine - INFO - Epoch(train) [22][1980/3757] lr: 9.6679e-03 eta: 2 days, 17:05:18 time: 0.3918 data_time: 0.0155 memory: 17007 grad_norm: 4.8423 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8455 loss: 2.8455 2022/07/27 02:20:13 - mmengine - INFO - Epoch(train) [22][2000/3757] lr: 9.6679e-03 eta: 2 days, 17:05:11 time: 0.3970 data_time: 0.0174 memory: 17007 grad_norm: 4.8740 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1977 loss: 3.1977 2022/07/27 02:20:21 - mmengine - INFO - Epoch(train) [22][2020/3757] lr: 9.6679e-03 eta: 2 days, 17:05:02 time: 0.3919 data_time: 0.0143 memory: 17007 grad_norm: 4.7579 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9040 loss: 2.9040 2022/07/27 02:20:29 - mmengine - INFO - Epoch(train) [22][2040/3757] lr: 9.6679e-03 eta: 2 days, 17:04:55 time: 0.3935 data_time: 0.0164 memory: 17007 grad_norm: 4.7309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7550 loss: 2.7550 2022/07/27 02:20:37 - mmengine - INFO - Epoch(train) [22][2060/3757] lr: 9.6679e-03 eta: 2 days, 17:04:46 time: 0.3916 data_time: 0.0149 memory: 17007 grad_norm: 5.0327 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7659 loss: 2.7659 2022/07/27 02:20:45 - mmengine - INFO - Epoch(train) [22][2080/3757] lr: 9.6679e-03 eta: 2 days, 17:04:38 time: 0.3928 data_time: 0.0167 memory: 17007 grad_norm: 4.8313 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8415 loss: 2.8415 2022/07/27 02:20:52 - mmengine - INFO - Epoch(train) [22][2100/3757] lr: 9.6679e-03 eta: 2 days, 17:04:30 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 4.9134 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3166 loss: 3.3166 2022/07/27 02:20:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:21:00 - mmengine - INFO - Epoch(train) [22][2120/3757] lr: 9.6679e-03 eta: 2 days, 17:04:23 time: 0.3944 data_time: 0.0172 memory: 17007 grad_norm: 4.7919 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9306 loss: 2.9306 2022/07/27 02:21:08 - mmengine - INFO - Epoch(train) [22][2140/3757] lr: 9.6679e-03 eta: 2 days, 17:04:14 time: 0.3918 data_time: 0.0154 memory: 17007 grad_norm: 5.0115 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7952 loss: 2.7952 2022/07/27 02:21:16 - mmengine - INFO - Epoch(train) [22][2160/3757] lr: 9.6679e-03 eta: 2 days, 17:04:06 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 4.8401 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8515 loss: 2.8515 2022/07/27 02:21:24 - mmengine - INFO - Epoch(train) [22][2180/3757] lr: 9.6679e-03 eta: 2 days, 17:03:58 time: 0.3905 data_time: 0.0148 memory: 17007 grad_norm: 4.8371 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8812 loss: 2.8812 2022/07/27 02:21:32 - mmengine - INFO - Epoch(train) [22][2200/3757] lr: 9.6679e-03 eta: 2 days, 17:03:50 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 4.8075 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.8405 loss: 2.8405 2022/07/27 02:21:40 - mmengine - INFO - Epoch(train) [22][2220/3757] lr: 9.6679e-03 eta: 2 days, 17:03:42 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 5.1285 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9530 loss: 2.9530 2022/07/27 02:21:47 - mmengine - INFO - Epoch(train) [22][2240/3757] lr: 9.6679e-03 eta: 2 days, 17:03:34 time: 0.3927 data_time: 0.0171 memory: 17007 grad_norm: 5.0269 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0731 loss: 3.0731 2022/07/27 02:21:55 - mmengine - INFO - Epoch(train) [22][2260/3757] lr: 9.6679e-03 eta: 2 days, 17:03:26 time: 0.3915 data_time: 0.0149 memory: 17007 grad_norm: 4.9898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8707 loss: 2.8707 2022/07/27 02:22:03 - mmengine - INFO - Epoch(train) [22][2280/3757] lr: 9.6679e-03 eta: 2 days, 17:03:18 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 4.8351 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8808 loss: 2.8808 2022/07/27 02:22:11 - mmengine - INFO - Epoch(train) [22][2300/3757] lr: 9.6679e-03 eta: 2 days, 17:03:10 time: 0.3908 data_time: 0.0155 memory: 17007 grad_norm: 4.8016 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9733 loss: 2.9733 2022/07/27 02:22:19 - mmengine - INFO - Epoch(train) [22][2320/3757] lr: 9.6679e-03 eta: 2 days, 17:03:02 time: 0.3941 data_time: 0.0170 memory: 17007 grad_norm: 4.9800 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0125 loss: 3.0125 2022/07/27 02:22:27 - mmengine - INFO - Epoch(train) [22][2340/3757] lr: 9.6679e-03 eta: 2 days, 17:02:54 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 5.0374 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1234 loss: 3.1234 2022/07/27 02:22:34 - mmengine - INFO - Epoch(train) [22][2360/3757] lr: 9.6679e-03 eta: 2 days, 17:02:46 time: 0.3915 data_time: 0.0160 memory: 17007 grad_norm: 4.9010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9345 loss: 2.9345 2022/07/27 02:22:42 - mmengine - INFO - Epoch(train) [22][2380/3757] lr: 9.6679e-03 eta: 2 days, 17:02:39 time: 0.3980 data_time: 0.0152 memory: 17007 grad_norm: 4.8955 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0612 loss: 3.0612 2022/07/27 02:22:50 - mmengine - INFO - Epoch(train) [22][2400/3757] lr: 9.6679e-03 eta: 2 days, 17:02:31 time: 0.3946 data_time: 0.0168 memory: 17007 grad_norm: 4.8042 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1300 loss: 3.1300 2022/07/27 02:22:58 - mmengine - INFO - Epoch(train) [22][2420/3757] lr: 9.6679e-03 eta: 2 days, 17:02:23 time: 0.3908 data_time: 0.0144 memory: 17007 grad_norm: 4.8882 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1345 loss: 3.1345 2022/07/27 02:23:06 - mmengine - INFO - Epoch(train) [22][2440/3757] lr: 9.6679e-03 eta: 2 days, 17:02:15 time: 0.3937 data_time: 0.0174 memory: 17007 grad_norm: 4.9542 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0688 loss: 3.0688 2022/07/27 02:23:14 - mmengine - INFO - Epoch(train) [22][2460/3757] lr: 9.6679e-03 eta: 2 days, 17:02:07 time: 0.3937 data_time: 0.0143 memory: 17007 grad_norm: 4.8454 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9776 loss: 2.9776 2022/07/27 02:23:22 - mmengine - INFO - Epoch(train) [22][2480/3757] lr: 9.6679e-03 eta: 2 days, 17:01:59 time: 0.3937 data_time: 0.0164 memory: 17007 grad_norm: 4.8572 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8378 loss: 2.8378 2022/07/27 02:23:30 - mmengine - INFO - Epoch(train) [22][2500/3757] lr: 9.6679e-03 eta: 2 days, 17:01:52 time: 0.4003 data_time: 0.0162 memory: 17007 grad_norm: 4.9280 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0823 loss: 3.0823 2022/07/27 02:23:38 - mmengine - INFO - Epoch(train) [22][2520/3757] lr: 9.6679e-03 eta: 2 days, 17:01:44 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 5.0911 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1623 loss: 3.1623 2022/07/27 02:23:46 - mmengine - INFO - Epoch(train) [22][2540/3757] lr: 9.6679e-03 eta: 2 days, 17:01:36 time: 0.3939 data_time: 0.0170 memory: 17007 grad_norm: 4.9176 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9634 loss: 2.9634 2022/07/27 02:23:53 - mmengine - INFO - Epoch(train) [22][2560/3757] lr: 9.6679e-03 eta: 2 days, 17:01:29 time: 0.3989 data_time: 0.0153 memory: 17007 grad_norm: 5.0549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7296 loss: 2.7296 2022/07/27 02:24:01 - mmengine - INFO - Epoch(train) [22][2580/3757] lr: 9.6679e-03 eta: 2 days, 17:01:21 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 4.8551 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2033 loss: 3.2033 2022/07/27 02:24:09 - mmengine - INFO - Epoch(train) [22][2600/3757] lr: 9.6679e-03 eta: 2 days, 17:01:14 time: 0.3951 data_time: 0.0165 memory: 17007 grad_norm: 4.9455 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9218 loss: 2.9218 2022/07/27 02:24:17 - mmengine - INFO - Epoch(train) [22][2620/3757] lr: 9.6679e-03 eta: 2 days, 17:01:06 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 4.8798 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2117 loss: 3.2117 2022/07/27 02:24:25 - mmengine - INFO - Epoch(train) [22][2640/3757] lr: 9.6679e-03 eta: 2 days, 17:00:58 time: 0.3943 data_time: 0.0181 memory: 17007 grad_norm: 4.7560 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9386 loss: 2.9386 2022/07/27 02:24:33 - mmengine - INFO - Epoch(train) [22][2660/3757] lr: 9.6679e-03 eta: 2 days, 17:00:50 time: 0.3936 data_time: 0.0165 memory: 17007 grad_norm: 4.8096 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0119 loss: 3.0119 2022/07/27 02:24:41 - mmengine - INFO - Epoch(train) [22][2680/3757] lr: 9.6679e-03 eta: 2 days, 17:00:42 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 4.8738 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0779 loss: 3.0779 2022/07/27 02:24:49 - mmengine - INFO - Epoch(train) [22][2700/3757] lr: 9.6679e-03 eta: 2 days, 17:00:34 time: 0.3952 data_time: 0.0172 memory: 17007 grad_norm: 4.8984 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7892 loss: 2.7892 2022/07/27 02:24:57 - mmengine - INFO - Epoch(train) [22][2720/3757] lr: 9.6679e-03 eta: 2 days, 17:00:27 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 4.8813 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1395 loss: 3.1395 2022/07/27 02:25:04 - mmengine - INFO - Epoch(train) [22][2740/3757] lr: 9.6679e-03 eta: 2 days, 17:00:18 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 4.8607 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8533 loss: 2.8533 2022/07/27 02:25:12 - mmengine - INFO - Epoch(train) [22][2760/3757] lr: 9.6679e-03 eta: 2 days, 17:00:11 time: 0.3937 data_time: 0.0166 memory: 17007 grad_norm: 4.6926 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9499 loss: 2.9499 2022/07/27 02:25:20 - mmengine - INFO - Epoch(train) [22][2780/3757] lr: 9.6679e-03 eta: 2 days, 17:00:03 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 4.8508 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1175 loss: 3.1175 2022/07/27 02:25:28 - mmengine - INFO - Epoch(train) [22][2800/3757] lr: 9.6679e-03 eta: 2 days, 16:59:55 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 4.8086 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9554 loss: 2.9554 2022/07/27 02:25:36 - mmengine - INFO - Epoch(train) [22][2820/3757] lr: 9.6679e-03 eta: 2 days, 16:59:47 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 4.9651 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2643 loss: 3.2643 2022/07/27 02:25:44 - mmengine - INFO - Epoch(train) [22][2840/3757] lr: 9.6679e-03 eta: 2 days, 16:59:39 time: 0.3943 data_time: 0.0168 memory: 17007 grad_norm: 5.1603 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1733 loss: 3.1733 2022/07/27 02:25:52 - mmengine - INFO - Epoch(train) [22][2860/3757] lr: 9.6679e-03 eta: 2 days, 16:59:31 time: 0.3932 data_time: 0.0168 memory: 17007 grad_norm: 4.8763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0253 loss: 3.0253 2022/07/27 02:25:59 - mmengine - INFO - Epoch(train) [22][2880/3757] lr: 9.6679e-03 eta: 2 days, 16:59:23 time: 0.3947 data_time: 0.0171 memory: 17007 grad_norm: 4.9537 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0608 loss: 3.0608 2022/07/27 02:26:07 - mmengine - INFO - Epoch(train) [22][2900/3757] lr: 9.6679e-03 eta: 2 days, 16:59:15 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 5.0117 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7086 loss: 2.7086 2022/07/27 02:26:15 - mmengine - INFO - Epoch(train) [22][2920/3757] lr: 9.6679e-03 eta: 2 days, 16:59:07 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 4.8399 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8775 loss: 2.8775 2022/07/27 02:26:23 - mmengine - INFO - Epoch(train) [22][2940/3757] lr: 9.6679e-03 eta: 2 days, 16:58:59 time: 0.3934 data_time: 0.0148 memory: 17007 grad_norm: 4.9038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0954 loss: 3.0954 2022/07/27 02:26:31 - mmengine - INFO - Epoch(train) [22][2960/3757] lr: 9.6679e-03 eta: 2 days, 16:58:52 time: 0.3980 data_time: 0.0160 memory: 17007 grad_norm: 4.7416 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0431 loss: 3.0431 2022/07/27 02:26:39 - mmengine - INFO - Epoch(train) [22][2980/3757] lr: 9.6679e-03 eta: 2 days, 16:58:44 time: 0.3934 data_time: 0.0163 memory: 17007 grad_norm: 4.8392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2083 loss: 3.2083 2022/07/27 02:26:47 - mmengine - INFO - Epoch(train) [22][3000/3757] lr: 9.6679e-03 eta: 2 days, 16:58:36 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 5.0654 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9297 loss: 2.9297 2022/07/27 02:26:55 - mmengine - INFO - Epoch(train) [22][3020/3757] lr: 9.6679e-03 eta: 2 days, 16:58:28 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 4.9600 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9381 loss: 2.9381 2022/07/27 02:27:03 - mmengine - INFO - Epoch(train) [22][3040/3757] lr: 9.6679e-03 eta: 2 days, 16:58:21 time: 0.3969 data_time: 0.0163 memory: 17007 grad_norm: 4.9967 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1603 loss: 3.1603 2022/07/27 02:27:10 - mmengine - INFO - Epoch(train) [22][3060/3757] lr: 9.6679e-03 eta: 2 days, 16:58:13 time: 0.3916 data_time: 0.0146 memory: 17007 grad_norm: 4.9046 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0052 loss: 3.0052 2022/07/27 02:27:18 - mmengine - INFO - Epoch(train) [22][3080/3757] lr: 9.6679e-03 eta: 2 days, 16:58:05 time: 0.3942 data_time: 0.0171 memory: 17007 grad_norm: 5.0420 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1971 loss: 3.1971 2022/07/27 02:27:26 - mmengine - INFO - Epoch(train) [22][3100/3757] lr: 9.6679e-03 eta: 2 days, 16:57:57 time: 0.3924 data_time: 0.0142 memory: 17007 grad_norm: 4.9633 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1478 loss: 3.1478 2022/07/27 02:27:27 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:27:34 - mmengine - INFO - Epoch(train) [22][3120/3757] lr: 9.6679e-03 eta: 2 days, 16:57:49 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 4.9529 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5679 loss: 3.5679 2022/07/27 02:27:42 - mmengine - INFO - Epoch(train) [22][3140/3757] lr: 9.6679e-03 eta: 2 days, 16:57:41 time: 0.3970 data_time: 0.0161 memory: 17007 grad_norm: 4.9663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9324 loss: 2.9324 2022/07/27 02:27:50 - mmengine - INFO - Epoch(train) [22][3160/3757] lr: 9.6679e-03 eta: 2 days, 16:57:36 time: 0.4089 data_time: 0.0160 memory: 17007 grad_norm: 5.2443 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0467 loss: 3.0467 2022/07/27 02:27:58 - mmengine - INFO - Epoch(train) [22][3180/3757] lr: 9.6679e-03 eta: 2 days, 16:57:28 time: 0.3963 data_time: 0.0149 memory: 17007 grad_norm: 5.0733 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8852 loss: 2.8852 2022/07/27 02:28:06 - mmengine - INFO - Epoch(train) [22][3200/3757] lr: 9.6679e-03 eta: 2 days, 16:57:20 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 4.9237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0212 loss: 3.0212 2022/07/27 02:28:14 - mmengine - INFO - Epoch(train) [22][3220/3757] lr: 9.6679e-03 eta: 2 days, 16:57:12 time: 0.3930 data_time: 0.0141 memory: 17007 grad_norm: 4.8710 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3176 loss: 3.3176 2022/07/27 02:28:22 - mmengine - INFO - Epoch(train) [22][3240/3757] lr: 9.6679e-03 eta: 2 days, 16:57:04 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 4.7418 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0318 loss: 3.0318 2022/07/27 02:28:29 - mmengine - INFO - Epoch(train) [22][3260/3757] lr: 9.6679e-03 eta: 2 days, 16:56:57 time: 0.3961 data_time: 0.0162 memory: 17007 grad_norm: 5.0460 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1421 loss: 3.1421 2022/07/27 02:28:37 - mmengine - INFO - Epoch(train) [22][3280/3757] lr: 9.6679e-03 eta: 2 days, 16:56:49 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 4.8902 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1424 loss: 3.1424 2022/07/27 02:28:45 - mmengine - INFO - Epoch(train) [22][3300/3757] lr: 9.6679e-03 eta: 2 days, 16:56:40 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 4.9392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8313 loss: 2.8313 2022/07/27 02:28:53 - mmengine - INFO - Epoch(train) [22][3320/3757] lr: 9.6679e-03 eta: 2 days, 16:56:32 time: 0.3927 data_time: 0.0169 memory: 17007 grad_norm: 5.0542 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9873 loss: 2.9873 2022/07/27 02:29:01 - mmengine - INFO - Epoch(train) [22][3340/3757] lr: 9.6679e-03 eta: 2 days, 16:56:24 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 4.9911 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8461 loss: 2.8461 2022/07/27 02:29:09 - mmengine - INFO - Epoch(train) [22][3360/3757] lr: 9.6679e-03 eta: 2 days, 16:56:16 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 4.9794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7233 loss: 2.7233 2022/07/27 02:29:17 - mmengine - INFO - Epoch(train) [22][3380/3757] lr: 9.6679e-03 eta: 2 days, 16:56:08 time: 0.3914 data_time: 0.0146 memory: 17007 grad_norm: 4.8827 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7055 loss: 2.7055 2022/07/27 02:29:24 - mmengine - INFO - Epoch(train) [22][3400/3757] lr: 9.6679e-03 eta: 2 days, 16:56:00 time: 0.3915 data_time: 0.0149 memory: 17007 grad_norm: 4.7232 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9426 loss: 2.9426 2022/07/27 02:29:32 - mmengine - INFO - Epoch(train) [22][3420/3757] lr: 9.6679e-03 eta: 2 days, 16:55:52 time: 0.3959 data_time: 0.0164 memory: 17007 grad_norm: 5.0664 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0871 loss: 3.0871 2022/07/27 02:29:40 - mmengine - INFO - Epoch(train) [22][3440/3757] lr: 9.6679e-03 eta: 2 days, 16:55:44 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 4.9302 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9721 loss: 2.9721 2022/07/27 02:29:48 - mmengine - INFO - Epoch(train) [22][3460/3757] lr: 9.6679e-03 eta: 2 days, 16:55:37 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 4.9035 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1879 loss: 3.1879 2022/07/27 02:29:56 - mmengine - INFO - Epoch(train) [22][3480/3757] lr: 9.6679e-03 eta: 2 days, 16:55:29 time: 0.3918 data_time: 0.0167 memory: 17007 grad_norm: 4.9460 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9637 loss: 2.9637 2022/07/27 02:30:04 - mmengine - INFO - Epoch(train) [22][3500/3757] lr: 9.6679e-03 eta: 2 days, 16:55:20 time: 0.3906 data_time: 0.0148 memory: 17007 grad_norm: 5.0761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0235 loss: 3.0235 2022/07/27 02:30:12 - mmengine - INFO - Epoch(train) [22][3520/3757] lr: 9.6679e-03 eta: 2 days, 16:55:12 time: 0.3943 data_time: 0.0167 memory: 17007 grad_norm: 5.0575 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9490 loss: 2.9490 2022/07/27 02:30:19 - mmengine - INFO - Epoch(train) [22][3540/3757] lr: 9.6679e-03 eta: 2 days, 16:55:04 time: 0.3923 data_time: 0.0165 memory: 17007 grad_norm: 5.0448 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0830 loss: 3.0830 2022/07/27 02:30:27 - mmengine - INFO - Epoch(train) [22][3560/3757] lr: 9.6679e-03 eta: 2 days, 16:54:57 time: 0.3943 data_time: 0.0176 memory: 17007 grad_norm: 4.8696 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7706 loss: 2.7706 2022/07/27 02:30:35 - mmengine - INFO - Epoch(train) [22][3580/3757] lr: 9.6679e-03 eta: 2 days, 16:54:48 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 5.0080 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9160 loss: 2.9160 2022/07/27 02:30:43 - mmengine - INFO - Epoch(train) [22][3600/3757] lr: 9.6679e-03 eta: 2 days, 16:54:41 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 5.3319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6237 loss: 2.6237 2022/07/27 02:30:51 - mmengine - INFO - Epoch(train) [22][3620/3757] lr: 9.6679e-03 eta: 2 days, 16:54:33 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 4.9725 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8233 loss: 2.8233 2022/07/27 02:30:59 - mmengine - INFO - Epoch(train) [22][3640/3757] lr: 9.6679e-03 eta: 2 days, 16:54:25 time: 0.3946 data_time: 0.0172 memory: 17007 grad_norm: 5.0364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7858 loss: 2.7858 2022/07/27 02:31:07 - mmengine - INFO - Epoch(train) [22][3660/3757] lr: 9.6679e-03 eta: 2 days, 16:54:17 time: 0.3928 data_time: 0.0159 memory: 17007 grad_norm: 4.9774 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0207 loss: 3.0207 2022/07/27 02:31:14 - mmengine - INFO - Epoch(train) [22][3680/3757] lr: 9.6679e-03 eta: 2 days, 16:54:09 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.0440 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0241 loss: 3.0241 2022/07/27 02:31:22 - mmengine - INFO - Epoch(train) [22][3700/3757] lr: 9.6679e-03 eta: 2 days, 16:54:01 time: 0.3923 data_time: 0.0166 memory: 17007 grad_norm: 5.0499 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1004 loss: 3.1004 2022/07/27 02:31:30 - mmengine - INFO - Epoch(train) [22][3720/3757] lr: 9.6679e-03 eta: 2 days, 16:53:53 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 5.0816 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3225 loss: 3.3225 2022/07/27 02:31:38 - mmengine - INFO - Epoch(train) [22][3740/3757] lr: 9.6679e-03 eta: 2 days, 16:53:45 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 5.0623 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9000 loss: 2.9000 2022/07/27 02:31:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:31:45 - mmengine - INFO - Epoch(train) [22][3757/3757] lr: 9.6679e-03 eta: 2 days, 16:53:45 time: 0.3905 data_time: 0.0167 memory: 17007 grad_norm: 5.0903 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 3.2518 loss: 3.2518 2022/07/27 02:31:45 - mmengine - INFO - Saving checkpoint at 22 epochs 2022/07/27 02:31:56 - mmengine - INFO - Epoch(train) [23][20/3757] lr: 9.6359e-03 eta: 2 days, 16:52:53 time: 0.4651 data_time: 0.0883 memory: 17007 grad_norm: 4.8101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9884 loss: 2.9884 2022/07/27 02:32:04 - mmengine - INFO - Epoch(train) [23][40/3757] lr: 9.6359e-03 eta: 2 days, 16:52:45 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 4.8157 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7725 loss: 2.7725 2022/07/27 02:32:12 - mmengine - INFO - Epoch(train) [23][60/3757] lr: 9.6359e-03 eta: 2 days, 16:52:37 time: 0.3937 data_time: 0.0169 memory: 17007 grad_norm: 4.9473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9275 loss: 2.9275 2022/07/27 02:32:19 - mmengine - INFO - Epoch(train) [23][80/3757] lr: 9.6359e-03 eta: 2 days, 16:52:29 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 4.8715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8015 loss: 2.8015 2022/07/27 02:32:27 - mmengine - INFO - Epoch(train) [23][100/3757] lr: 9.6359e-03 eta: 2 days, 16:52:21 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 4.8700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8452 loss: 2.8452 2022/07/27 02:32:35 - mmengine - INFO - Epoch(train) [23][120/3757] lr: 9.6359e-03 eta: 2 days, 16:52:13 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 4.9553 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8095 loss: 2.8095 2022/07/27 02:32:43 - mmengine - INFO - Epoch(train) [23][140/3757] lr: 9.6359e-03 eta: 2 days, 16:52:06 time: 0.3989 data_time: 0.0149 memory: 17007 grad_norm: 4.8925 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9417 loss: 2.9417 2022/07/27 02:32:51 - mmengine - INFO - Epoch(train) [23][160/3757] lr: 9.6359e-03 eta: 2 days, 16:51:58 time: 0.3926 data_time: 0.0165 memory: 17007 grad_norm: 4.8645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7578 loss: 2.7578 2022/07/27 02:32:59 - mmengine - INFO - Epoch(train) [23][180/3757] lr: 9.6359e-03 eta: 2 days, 16:51:50 time: 0.3949 data_time: 0.0167 memory: 17007 grad_norm: 5.0199 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7983 loss: 2.7983 2022/07/27 02:33:07 - mmengine - INFO - Epoch(train) [23][200/3757] lr: 9.6359e-03 eta: 2 days, 16:51:42 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 5.0290 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2659 loss: 3.2659 2022/07/27 02:33:14 - mmengine - INFO - Epoch(train) [23][220/3757] lr: 9.6359e-03 eta: 2 days, 16:51:34 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 4.8963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8844 loss: 2.8844 2022/07/27 02:33:22 - mmengine - INFO - Epoch(train) [23][240/3757] lr: 9.6359e-03 eta: 2 days, 16:51:27 time: 0.4003 data_time: 0.0155 memory: 17007 grad_norm: 4.7894 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1928 loss: 3.1928 2022/07/27 02:33:30 - mmengine - INFO - Epoch(train) [23][260/3757] lr: 9.6359e-03 eta: 2 days, 16:51:19 time: 0.3914 data_time: 0.0152 memory: 17007 grad_norm: 4.7229 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9206 loss: 2.9206 2022/07/27 02:33:38 - mmengine - INFO - Epoch(train) [23][280/3757] lr: 9.6359e-03 eta: 2 days, 16:51:12 time: 0.4014 data_time: 0.0193 memory: 17007 grad_norm: 4.6708 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4060 loss: 3.4060 2022/07/27 02:33:46 - mmengine - INFO - Epoch(train) [23][300/3757] lr: 9.6359e-03 eta: 2 days, 16:51:04 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 4.8181 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8288 loss: 2.8288 2022/07/27 02:33:54 - mmengine - INFO - Epoch(train) [23][320/3757] lr: 9.6359e-03 eta: 2 days, 16:50:56 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 4.9949 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9983 loss: 2.9983 2022/07/27 02:34:02 - mmengine - INFO - Epoch(train) [23][340/3757] lr: 9.6359e-03 eta: 2 days, 16:50:48 time: 0.3962 data_time: 0.0150 memory: 17007 grad_norm: 4.9653 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9868 loss: 2.9868 2022/07/27 02:34:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:34:10 - mmengine - INFO - Epoch(train) [23][360/3757] lr: 9.6359e-03 eta: 2 days, 16:50:40 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 4.8973 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0188 loss: 3.0188 2022/07/27 02:34:18 - mmengine - INFO - Epoch(train) [23][380/3757] lr: 9.6359e-03 eta: 2 days, 16:50:33 time: 0.3998 data_time: 0.0159 memory: 17007 grad_norm: 4.9181 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1668 loss: 3.1668 2022/07/27 02:34:26 - mmengine - INFO - Epoch(train) [23][400/3757] lr: 9.6359e-03 eta: 2 days, 16:50:25 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 4.9866 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0025 loss: 3.0025 2022/07/27 02:34:34 - mmengine - INFO - Epoch(train) [23][420/3757] lr: 9.6359e-03 eta: 2 days, 16:50:18 time: 0.3992 data_time: 0.0164 memory: 17007 grad_norm: 4.8189 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0087 loss: 3.0087 2022/07/27 02:34:42 - mmengine - INFO - Epoch(train) [23][440/3757] lr: 9.6359e-03 eta: 2 days, 16:50:11 time: 0.3968 data_time: 0.0158 memory: 17007 grad_norm: 4.8388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6881 loss: 2.6881 2022/07/27 02:34:49 - mmengine - INFO - Epoch(train) [23][460/3757] lr: 9.6359e-03 eta: 2 days, 16:50:03 time: 0.3937 data_time: 0.0176 memory: 17007 grad_norm: 5.0493 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8510 loss: 2.8510 2022/07/27 02:34:57 - mmengine - INFO - Epoch(train) [23][480/3757] lr: 9.6359e-03 eta: 2 days, 16:49:55 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 4.9676 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6019 loss: 2.6019 2022/07/27 02:35:05 - mmengine - INFO - Epoch(train) [23][500/3757] lr: 9.6359e-03 eta: 2 days, 16:49:47 time: 0.3947 data_time: 0.0144 memory: 17007 grad_norm: 5.0218 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9444 loss: 2.9444 2022/07/27 02:35:13 - mmengine - INFO - Epoch(train) [23][520/3757] lr: 9.6359e-03 eta: 2 days, 16:49:39 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 4.9305 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1273 loss: 3.1273 2022/07/27 02:35:21 - mmengine - INFO - Epoch(train) [23][540/3757] lr: 9.6359e-03 eta: 2 days, 16:49:31 time: 0.3942 data_time: 0.0170 memory: 17007 grad_norm: 5.0543 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0518 loss: 3.0518 2022/07/27 02:35:29 - mmengine - INFO - Epoch(train) [23][560/3757] lr: 9.6359e-03 eta: 2 days, 16:49:23 time: 0.3909 data_time: 0.0161 memory: 17007 grad_norm: 4.8876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9341 loss: 2.9341 2022/07/27 02:35:37 - mmengine - INFO - Epoch(train) [23][580/3757] lr: 9.6359e-03 eta: 2 days, 16:49:15 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 5.0357 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 3.1321 loss: 3.1321 2022/07/27 02:35:44 - mmengine - INFO - Epoch(train) [23][600/3757] lr: 9.6359e-03 eta: 2 days, 16:49:07 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 4.9725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9775 loss: 2.9775 2022/07/27 02:35:52 - mmengine - INFO - Epoch(train) [23][620/3757] lr: 9.6359e-03 eta: 2 days, 16:48:59 time: 0.3901 data_time: 0.0143 memory: 17007 grad_norm: 5.0417 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2851 loss: 3.2851 2022/07/27 02:36:00 - mmengine - INFO - Epoch(train) [23][640/3757] lr: 9.6359e-03 eta: 2 days, 16:48:52 time: 0.4020 data_time: 0.0167 memory: 17007 grad_norm: 4.9434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0170 loss: 3.0170 2022/07/27 02:36:08 - mmengine - INFO - Epoch(train) [23][660/3757] lr: 9.6359e-03 eta: 2 days, 16:48:44 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 4.9232 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7519 loss: 2.7519 2022/07/27 02:36:16 - mmengine - INFO - Epoch(train) [23][680/3757] lr: 9.6359e-03 eta: 2 days, 16:48:36 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 4.9351 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5864 loss: 2.5864 2022/07/27 02:36:24 - mmengine - INFO - Epoch(train) [23][700/3757] lr: 9.6359e-03 eta: 2 days, 16:48:29 time: 0.4010 data_time: 0.0140 memory: 17007 grad_norm: 4.8152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6011 loss: 2.6011 2022/07/27 02:36:32 - mmengine - INFO - Epoch(train) [23][720/3757] lr: 9.6359e-03 eta: 2 days, 16:48:23 time: 0.4063 data_time: 0.0180 memory: 17007 grad_norm: 4.8876 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6728 loss: 2.6728 2022/07/27 02:36:40 - mmengine - INFO - Epoch(train) [23][740/3757] lr: 9.6359e-03 eta: 2 days, 16:48:15 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 5.0112 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7486 loss: 2.7486 2022/07/27 02:36:48 - mmengine - INFO - Epoch(train) [23][760/3757] lr: 9.6359e-03 eta: 2 days, 16:48:08 time: 0.3971 data_time: 0.0187 memory: 17007 grad_norm: 4.8920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9070 loss: 2.9070 2022/07/27 02:36:56 - mmengine - INFO - Epoch(train) [23][780/3757] lr: 9.6359e-03 eta: 2 days, 16:48:00 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 5.0501 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9482 loss: 2.9482 2022/07/27 02:37:04 - mmengine - INFO - Epoch(train) [23][800/3757] lr: 9.6359e-03 eta: 2 days, 16:47:52 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 5.1129 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1074 loss: 3.1074 2022/07/27 02:37:11 - mmengine - INFO - Epoch(train) [23][820/3757] lr: 9.6359e-03 eta: 2 days, 16:47:44 time: 0.3925 data_time: 0.0171 memory: 17007 grad_norm: 5.0476 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9656 loss: 2.9656 2022/07/27 02:37:19 - mmengine - INFO - Epoch(train) [23][840/3757] lr: 9.6359e-03 eta: 2 days, 16:47:35 time: 0.3906 data_time: 0.0156 memory: 17007 grad_norm: 4.7956 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6714 loss: 2.6714 2022/07/27 02:37:27 - mmengine - INFO - Epoch(train) [23][860/3757] lr: 9.6359e-03 eta: 2 days, 16:47:27 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 5.0535 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8932 loss: 2.8932 2022/07/27 02:37:35 - mmengine - INFO - Epoch(train) [23][880/3757] lr: 9.6359e-03 eta: 2 days, 16:47:20 time: 0.3973 data_time: 0.0158 memory: 17007 grad_norm: 4.8663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0654 loss: 3.0654 2022/07/27 02:37:43 - mmengine - INFO - Epoch(train) [23][900/3757] lr: 9.6359e-03 eta: 2 days, 16:47:12 time: 0.3902 data_time: 0.0150 memory: 17007 grad_norm: 5.1408 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9423 loss: 2.9423 2022/07/27 02:37:51 - mmengine - INFO - Epoch(train) [23][920/3757] lr: 9.6359e-03 eta: 2 days, 16:47:04 time: 0.3956 data_time: 0.0165 memory: 17007 grad_norm: 5.0197 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.7995 loss: 2.7995 2022/07/27 02:37:59 - mmengine - INFO - Epoch(train) [23][940/3757] lr: 9.6359e-03 eta: 2 days, 16:46:56 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 4.8749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1650 loss: 3.1650 2022/07/27 02:38:06 - mmengine - INFO - Epoch(train) [23][960/3757] lr: 9.6359e-03 eta: 2 days, 16:46:48 time: 0.3920 data_time: 0.0162 memory: 17007 grad_norm: 4.9218 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8984 loss: 2.8984 2022/07/27 02:38:15 - mmengine - INFO - Epoch(train) [23][980/3757] lr: 9.6359e-03 eta: 2 days, 16:46:41 time: 0.4025 data_time: 0.0162 memory: 17007 grad_norm: 4.9803 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6593 loss: 2.6593 2022/07/27 02:38:22 - mmengine - INFO - Epoch(train) [23][1000/3757] lr: 9.6359e-03 eta: 2 days, 16:46:34 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 4.9840 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5549 loss: 2.5549 2022/07/27 02:38:31 - mmengine - INFO - Epoch(train) [23][1020/3757] lr: 9.6359e-03 eta: 2 days, 16:46:28 time: 0.4082 data_time: 0.0184 memory: 17007 grad_norm: 5.0441 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9629 loss: 2.9629 2022/07/27 02:38:38 - mmengine - INFO - Epoch(train) [23][1040/3757] lr: 9.6359e-03 eta: 2 days, 16:46:20 time: 0.3927 data_time: 0.0172 memory: 17007 grad_norm: 4.8677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6946 loss: 2.6946 2022/07/27 02:38:46 - mmengine - INFO - Epoch(train) [23][1060/3757] lr: 9.6359e-03 eta: 2 days, 16:46:12 time: 0.3917 data_time: 0.0161 memory: 17007 grad_norm: 5.0194 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0497 loss: 3.0497 2022/07/27 02:38:54 - mmengine - INFO - Epoch(train) [23][1080/3757] lr: 9.6359e-03 eta: 2 days, 16:46:04 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 4.9252 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0331 loss: 3.0331 2022/07/27 02:39:02 - mmengine - INFO - Epoch(train) [23][1100/3757] lr: 9.6359e-03 eta: 2 days, 16:45:56 time: 0.3924 data_time: 0.0167 memory: 17007 grad_norm: 4.9929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0412 loss: 3.0412 2022/07/27 02:39:10 - mmengine - INFO - Epoch(train) [23][1120/3757] lr: 9.6359e-03 eta: 2 days, 16:45:48 time: 0.3922 data_time: 0.0163 memory: 17007 grad_norm: 4.9248 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7736 loss: 2.7736 2022/07/27 02:39:18 - mmengine - INFO - Epoch(train) [23][1140/3757] lr: 9.6359e-03 eta: 2 days, 16:45:40 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 4.8238 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6039 loss: 2.6039 2022/07/27 02:39:26 - mmengine - INFO - Epoch(train) [23][1160/3757] lr: 9.6359e-03 eta: 2 days, 16:45:32 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 4.9342 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5668 loss: 2.5668 2022/07/27 02:39:33 - mmengine - INFO - Epoch(train) [23][1180/3757] lr: 9.6359e-03 eta: 2 days, 16:45:24 time: 0.3948 data_time: 0.0172 memory: 17007 grad_norm: 4.9985 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7455 loss: 2.7455 2022/07/27 02:39:41 - mmengine - INFO - Epoch(train) [23][1200/3757] lr: 9.6359e-03 eta: 2 days, 16:45:16 time: 0.3910 data_time: 0.0154 memory: 17007 grad_norm: 5.0645 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1864 loss: 3.1864 2022/07/27 02:39:49 - mmengine - INFO - Epoch(train) [23][1220/3757] lr: 9.6359e-03 eta: 2 days, 16:45:08 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 5.0202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7941 loss: 2.7941 2022/07/27 02:39:57 - mmengine - INFO - Epoch(train) [23][1240/3757] lr: 9.6359e-03 eta: 2 days, 16:45:00 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 4.8874 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0071 loss: 3.0071 2022/07/27 02:40:05 - mmengine - INFO - Epoch(train) [23][1260/3757] lr: 9.6359e-03 eta: 2 days, 16:44:52 time: 0.3917 data_time: 0.0145 memory: 17007 grad_norm: 5.0133 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0145 loss: 3.0145 2022/07/27 02:40:13 - mmengine - INFO - Epoch(train) [23][1280/3757] lr: 9.6359e-03 eta: 2 days, 16:44:44 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 5.2111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0831 loss: 3.0831 2022/07/27 02:40:21 - mmengine - INFO - Epoch(train) [23][1300/3757] lr: 9.6359e-03 eta: 2 days, 16:44:36 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 5.0472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8645 loss: 2.8645 2022/07/27 02:40:28 - mmengine - INFO - Epoch(train) [23][1320/3757] lr: 9.6359e-03 eta: 2 days, 16:44:28 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 4.9120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7646 loss: 2.7646 2022/07/27 02:40:36 - mmengine - INFO - Epoch(train) [23][1340/3757] lr: 9.6359e-03 eta: 2 days, 16:44:20 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 5.0107 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9548 loss: 2.9548 2022/07/27 02:40:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:40:44 - mmengine - INFO - Epoch(train) [23][1360/3757] lr: 9.6359e-03 eta: 2 days, 16:44:12 time: 0.3909 data_time: 0.0149 memory: 17007 grad_norm: 4.9779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7359 loss: 2.7359 2022/07/27 02:40:52 - mmengine - INFO - Epoch(train) [23][1380/3757] lr: 9.6359e-03 eta: 2 days, 16:44:04 time: 0.3937 data_time: 0.0169 memory: 17007 grad_norm: 4.9677 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1957 loss: 3.1957 2022/07/27 02:41:00 - mmengine - INFO - Epoch(train) [23][1400/3757] lr: 9.6359e-03 eta: 2 days, 16:43:56 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 4.9774 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8715 loss: 2.8715 2022/07/27 02:41:08 - mmengine - INFO - Epoch(train) [23][1420/3757] lr: 9.6359e-03 eta: 2 days, 16:43:48 time: 0.3897 data_time: 0.0137 memory: 17007 grad_norm: 4.8958 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9162 loss: 2.9162 2022/07/27 02:41:16 - mmengine - INFO - Epoch(train) [23][1440/3757] lr: 9.6359e-03 eta: 2 days, 16:43:40 time: 0.3941 data_time: 0.0173 memory: 17007 grad_norm: 4.9847 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8303 loss: 2.8303 2022/07/27 02:41:23 - mmengine - INFO - Epoch(train) [23][1460/3757] lr: 9.6359e-03 eta: 2 days, 16:43:32 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 4.9870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7228 loss: 2.7228 2022/07/27 02:41:31 - mmengine - INFO - Epoch(train) [23][1480/3757] lr: 9.6359e-03 eta: 2 days, 16:43:24 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 5.2141 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9285 loss: 2.9285 2022/07/27 02:41:39 - mmengine - INFO - Epoch(train) [23][1500/3757] lr: 9.6359e-03 eta: 2 days, 16:43:16 time: 0.3957 data_time: 0.0168 memory: 17007 grad_norm: 7.8669 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8844 loss: 2.8844 2022/07/27 02:41:47 - mmengine - INFO - Epoch(train) [23][1520/3757] lr: 9.6359e-03 eta: 2 days, 16:43:08 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 5.5467 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0820 loss: 3.0820 2022/07/27 02:41:55 - mmengine - INFO - Epoch(train) [23][1540/3757] lr: 9.6359e-03 eta: 2 days, 16:43:00 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 5.2497 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9817 loss: 2.9817 2022/07/27 02:42:03 - mmengine - INFO - Epoch(train) [23][1560/3757] lr: 9.6359e-03 eta: 2 days, 16:42:53 time: 0.3998 data_time: 0.0159 memory: 17007 grad_norm: 5.1938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1112 loss: 3.1112 2022/07/27 02:42:11 - mmengine - INFO - Epoch(train) [23][1580/3757] lr: 9.6359e-03 eta: 2 days, 16:42:45 time: 0.3920 data_time: 0.0165 memory: 17007 grad_norm: 5.1573 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.2694 loss: 3.2694 2022/07/27 02:42:19 - mmengine - INFO - Epoch(train) [23][1600/3757] lr: 9.6359e-03 eta: 2 days, 16:42:37 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 5.0362 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4378 loss: 3.4378 2022/07/27 02:42:26 - mmengine - INFO - Epoch(train) [23][1620/3757] lr: 9.6359e-03 eta: 2 days, 16:42:29 time: 0.3909 data_time: 0.0154 memory: 17007 grad_norm: 5.1159 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8268 loss: 2.8268 2022/07/27 02:42:34 - mmengine - INFO - Epoch(train) [23][1640/3757] lr: 9.6359e-03 eta: 2 days, 16:42:21 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 5.1841 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0853 loss: 3.0853 2022/07/27 02:42:42 - mmengine - INFO - Epoch(train) [23][1660/3757] lr: 9.6359e-03 eta: 2 days, 16:42:13 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 4.8338 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5813 loss: 2.5813 2022/07/27 02:42:50 - mmengine - INFO - Epoch(train) [23][1680/3757] lr: 9.6359e-03 eta: 2 days, 16:42:06 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 4.9675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7587 loss: 2.7587 2022/07/27 02:42:58 - mmengine - INFO - Epoch(train) [23][1700/3757] lr: 9.6359e-03 eta: 2 days, 16:41:58 time: 0.3916 data_time: 0.0142 memory: 17007 grad_norm: 5.0538 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0542 loss: 3.0542 2022/07/27 02:43:06 - mmengine - INFO - Epoch(train) [23][1720/3757] lr: 9.6359e-03 eta: 2 days, 16:41:49 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 4.9292 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6710 loss: 2.6710 2022/07/27 02:43:14 - mmengine - INFO - Epoch(train) [23][1740/3757] lr: 9.6359e-03 eta: 2 days, 16:41:41 time: 0.3922 data_time: 0.0141 memory: 17007 grad_norm: 4.8759 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0863 loss: 3.0863 2022/07/27 02:43:21 - mmengine - INFO - Epoch(train) [23][1760/3757] lr: 9.6359e-03 eta: 2 days, 16:41:33 time: 0.3921 data_time: 0.0162 memory: 17007 grad_norm: 4.9941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8529 loss: 2.8529 2022/07/27 02:43:29 - mmengine - INFO - Epoch(train) [23][1780/3757] lr: 9.6359e-03 eta: 2 days, 16:41:27 time: 0.4035 data_time: 0.0152 memory: 17007 grad_norm: 4.9530 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7857 loss: 2.7857 2022/07/27 02:43:37 - mmengine - INFO - Epoch(train) [23][1800/3757] lr: 9.6359e-03 eta: 2 days, 16:41:19 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 5.1446 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.0696 loss: 3.0696 2022/07/27 02:43:45 - mmengine - INFO - Epoch(train) [23][1820/3757] lr: 9.6359e-03 eta: 2 days, 16:41:11 time: 0.3913 data_time: 0.0154 memory: 17007 grad_norm: 4.9318 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7389 loss: 2.7389 2022/07/27 02:43:53 - mmengine - INFO - Epoch(train) [23][1840/3757] lr: 9.6359e-03 eta: 2 days, 16:41:03 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 5.0252 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9429 loss: 2.9429 2022/07/27 02:44:01 - mmengine - INFO - Epoch(train) [23][1860/3757] lr: 9.6359e-03 eta: 2 days, 16:40:54 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 4.8987 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9127 loss: 2.9127 2022/07/27 02:44:09 - mmengine - INFO - Epoch(train) [23][1880/3757] lr: 9.6359e-03 eta: 2 days, 16:40:47 time: 0.3954 data_time: 0.0164 memory: 17007 grad_norm: 5.0974 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0747 loss: 3.0747 2022/07/27 02:44:17 - mmengine - INFO - Epoch(train) [23][1900/3757] lr: 9.6359e-03 eta: 2 days, 16:40:39 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 4.8259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8546 loss: 2.8546 2022/07/27 02:44:24 - mmengine - INFO - Epoch(train) [23][1920/3757] lr: 9.6359e-03 eta: 2 days, 16:40:31 time: 0.3917 data_time: 0.0155 memory: 17007 grad_norm: 5.1209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.0271 loss: 3.0271 2022/07/27 02:44:32 - mmengine - INFO - Epoch(train) [23][1940/3757] lr: 9.6359e-03 eta: 2 days, 16:40:23 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 4.8790 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6755 loss: 2.6755 2022/07/27 02:44:40 - mmengine - INFO - Epoch(train) [23][1960/3757] lr: 9.6359e-03 eta: 2 days, 16:40:15 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 4.9398 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8604 loss: 2.8604 2022/07/27 02:44:48 - mmengine - INFO - Epoch(train) [23][1980/3757] lr: 9.6359e-03 eta: 2 days, 16:40:07 time: 0.3922 data_time: 0.0152 memory: 17007 grad_norm: 4.7021 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6679 loss: 2.6679 2022/07/27 02:44:56 - mmengine - INFO - Epoch(train) [23][2000/3757] lr: 9.6359e-03 eta: 2 days, 16:39:59 time: 0.3920 data_time: 0.0166 memory: 17007 grad_norm: 5.0785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1369 loss: 3.1369 2022/07/27 02:45:04 - mmengine - INFO - Epoch(train) [23][2020/3757] lr: 9.6359e-03 eta: 2 days, 16:39:51 time: 0.3913 data_time: 0.0144 memory: 17007 grad_norm: 5.0081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8397 loss: 2.8397 2022/07/27 02:45:12 - mmengine - INFO - Epoch(train) [23][2040/3757] lr: 9.6359e-03 eta: 2 days, 16:39:43 time: 0.3938 data_time: 0.0164 memory: 17007 grad_norm: 4.8549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0445 loss: 3.0445 2022/07/27 02:45:19 - mmengine - INFO - Epoch(train) [23][2060/3757] lr: 9.6359e-03 eta: 2 days, 16:39:35 time: 0.3939 data_time: 0.0136 memory: 17007 grad_norm: 5.0676 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0193 loss: 3.0193 2022/07/27 02:45:27 - mmengine - INFO - Epoch(train) [23][2080/3757] lr: 9.6359e-03 eta: 2 days, 16:39:27 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 5.0101 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6985 loss: 2.6985 2022/07/27 02:45:35 - mmengine - INFO - Epoch(train) [23][2100/3757] lr: 9.6359e-03 eta: 2 days, 16:39:19 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 4.8751 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6096 loss: 2.6096 2022/07/27 02:45:43 - mmengine - INFO - Epoch(train) [23][2120/3757] lr: 9.6359e-03 eta: 2 days, 16:39:11 time: 0.3951 data_time: 0.0178 memory: 17007 grad_norm: 5.1027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0524 loss: 3.0524 2022/07/27 02:45:51 - mmengine - INFO - Epoch(train) [23][2140/3757] lr: 9.6359e-03 eta: 2 days, 16:39:03 time: 0.3916 data_time: 0.0155 memory: 17007 grad_norm: 4.9748 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9426 loss: 2.9426 2022/07/27 02:45:59 - mmengine - INFO - Epoch(train) [23][2160/3757] lr: 9.6359e-03 eta: 2 days, 16:38:55 time: 0.3935 data_time: 0.0170 memory: 17007 grad_norm: 5.0665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6639 loss: 2.6639 2022/07/27 02:46:07 - mmengine - INFO - Epoch(train) [23][2180/3757] lr: 9.6359e-03 eta: 2 days, 16:38:47 time: 0.3901 data_time: 0.0143 memory: 17007 grad_norm: 5.0184 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2370 loss: 3.2370 2022/07/27 02:46:14 - mmengine - INFO - Epoch(train) [23][2200/3757] lr: 9.6359e-03 eta: 2 days, 16:38:39 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 5.0802 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0621 loss: 3.0621 2022/07/27 02:46:22 - mmengine - INFO - Epoch(train) [23][2220/3757] lr: 9.6359e-03 eta: 2 days, 16:38:31 time: 0.3940 data_time: 0.0164 memory: 17007 grad_norm: 5.1213 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0409 loss: 3.0409 2022/07/27 02:46:30 - mmengine - INFO - Epoch(train) [23][2240/3757] lr: 9.6359e-03 eta: 2 days, 16:38:23 time: 0.3913 data_time: 0.0161 memory: 17007 grad_norm: 4.9558 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8252 loss: 2.8252 2022/07/27 02:46:38 - mmengine - INFO - Epoch(train) [23][2260/3757] lr: 9.6359e-03 eta: 2 days, 16:38:15 time: 0.3914 data_time: 0.0152 memory: 17007 grad_norm: 5.0133 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9212 loss: 2.9212 2022/07/27 02:46:46 - mmengine - INFO - Epoch(train) [23][2280/3757] lr: 9.6359e-03 eta: 2 days, 16:38:09 time: 0.4109 data_time: 0.0158 memory: 17007 grad_norm: 4.8285 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9520 loss: 2.9520 2022/07/27 02:46:54 - mmengine - INFO - Epoch(train) [23][2300/3757] lr: 9.6359e-03 eta: 2 days, 16:38:01 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 4.9474 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2358 loss: 3.2358 2022/07/27 02:47:02 - mmengine - INFO - Epoch(train) [23][2320/3757] lr: 9.6359e-03 eta: 2 days, 16:37:56 time: 0.4086 data_time: 0.0173 memory: 17007 grad_norm: 5.0736 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7919 loss: 2.7919 2022/07/27 02:47:10 - mmengine - INFO - Epoch(train) [23][2340/3757] lr: 9.6359e-03 eta: 2 days, 16:37:48 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 4.9504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9049 loss: 2.9049 2022/07/27 02:47:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:47:18 - mmengine - INFO - Epoch(train) [23][2360/3757] lr: 9.6359e-03 eta: 2 days, 16:37:40 time: 0.3925 data_time: 0.0167 memory: 17007 grad_norm: 5.1093 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.1561 loss: 3.1561 2022/07/27 02:47:26 - mmengine - INFO - Epoch(train) [23][2380/3757] lr: 9.6359e-03 eta: 2 days, 16:37:32 time: 0.3925 data_time: 0.0144 memory: 17007 grad_norm: 4.9436 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6729 loss: 2.6729 2022/07/27 02:47:34 - mmengine - INFO - Epoch(train) [23][2400/3757] lr: 9.6359e-03 eta: 2 days, 16:37:24 time: 0.3938 data_time: 0.0176 memory: 17007 grad_norm: 5.0285 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1133 loss: 3.1133 2022/07/27 02:47:42 - mmengine - INFO - Epoch(train) [23][2420/3757] lr: 9.6359e-03 eta: 2 days, 16:37:16 time: 0.3951 data_time: 0.0169 memory: 17007 grad_norm: 4.9033 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6883 loss: 2.6883 2022/07/27 02:47:49 - mmengine - INFO - Epoch(train) [23][2440/3757] lr: 9.6359e-03 eta: 2 days, 16:37:08 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 4.9869 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8512 loss: 2.8512 2022/07/27 02:47:57 - mmengine - INFO - Epoch(train) [23][2460/3757] lr: 9.6359e-03 eta: 2 days, 16:37:00 time: 0.3907 data_time: 0.0152 memory: 17007 grad_norm: 5.0014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7658 loss: 2.7658 2022/07/27 02:48:05 - mmengine - INFO - Epoch(train) [23][2480/3757] lr: 9.6359e-03 eta: 2 days, 16:36:53 time: 0.3968 data_time: 0.0166 memory: 17007 grad_norm: 4.9272 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7507 loss: 2.7507 2022/07/27 02:48:13 - mmengine - INFO - Epoch(train) [23][2500/3757] lr: 9.6359e-03 eta: 2 days, 16:36:44 time: 0.3910 data_time: 0.0145 memory: 17007 grad_norm: 5.0692 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8952 loss: 2.8952 2022/07/27 02:48:21 - mmengine - INFO - Epoch(train) [23][2520/3757] lr: 9.6359e-03 eta: 2 days, 16:36:37 time: 0.3968 data_time: 0.0173 memory: 17007 grad_norm: 4.9244 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7931 loss: 2.7931 2022/07/27 02:48:29 - mmengine - INFO - Epoch(train) [23][2540/3757] lr: 9.6359e-03 eta: 2 days, 16:36:29 time: 0.3912 data_time: 0.0144 memory: 17007 grad_norm: 4.8274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6644 loss: 2.6644 2022/07/27 02:48:37 - mmengine - INFO - Epoch(train) [23][2560/3757] lr: 9.6359e-03 eta: 2 days, 16:36:21 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 4.9225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7558 loss: 2.7558 2022/07/27 02:48:45 - mmengine - INFO - Epoch(train) [23][2580/3757] lr: 9.6359e-03 eta: 2 days, 16:36:13 time: 0.3954 data_time: 0.0170 memory: 17007 grad_norm: 5.0406 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7919 loss: 2.7919 2022/07/27 02:48:52 - mmengine - INFO - Epoch(train) [23][2600/3757] lr: 9.6359e-03 eta: 2 days, 16:36:05 time: 0.3920 data_time: 0.0148 memory: 17007 grad_norm: 5.0147 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9167 loss: 2.9167 2022/07/27 02:49:00 - mmengine - INFO - Epoch(train) [23][2620/3757] lr: 9.6359e-03 eta: 2 days, 16:35:57 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 4.9588 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2221 loss: 3.2221 2022/07/27 02:49:08 - mmengine - INFO - Epoch(train) [23][2640/3757] lr: 9.6359e-03 eta: 2 days, 16:35:49 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 4.9881 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7238 loss: 2.7238 2022/07/27 02:49:16 - mmengine - INFO - Epoch(train) [23][2660/3757] lr: 9.6359e-03 eta: 2 days, 16:35:41 time: 0.3922 data_time: 0.0147 memory: 17007 grad_norm: 4.8972 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8539 loss: 2.8539 2022/07/27 02:49:24 - mmengine - INFO - Epoch(train) [23][2680/3757] lr: 9.6359e-03 eta: 2 days, 16:35:33 time: 0.3927 data_time: 0.0169 memory: 17007 grad_norm: 4.8728 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1766 loss: 3.1766 2022/07/27 02:49:32 - mmengine - INFO - Epoch(train) [23][2700/3757] lr: 9.6359e-03 eta: 2 days, 16:35:25 time: 0.3916 data_time: 0.0153 memory: 17007 grad_norm: 4.9820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8125 loss: 2.8125 2022/07/27 02:49:40 - mmengine - INFO - Epoch(train) [23][2720/3757] lr: 9.6359e-03 eta: 2 days, 16:35:17 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 4.9343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0345 loss: 3.0345 2022/07/27 02:49:47 - mmengine - INFO - Epoch(train) [23][2740/3757] lr: 9.6359e-03 eta: 2 days, 16:35:09 time: 0.3901 data_time: 0.0156 memory: 17007 grad_norm: 4.8858 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0823 loss: 3.0823 2022/07/27 02:49:55 - mmengine - INFO - Epoch(train) [23][2760/3757] lr: 9.6359e-03 eta: 2 days, 16:35:02 time: 0.3962 data_time: 0.0164 memory: 17007 grad_norm: 5.0408 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0318 loss: 3.0318 2022/07/27 02:50:03 - mmengine - INFO - Epoch(train) [23][2780/3757] lr: 9.6359e-03 eta: 2 days, 16:34:53 time: 0.3912 data_time: 0.0155 memory: 17007 grad_norm: 4.9199 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6124 loss: 2.6124 2022/07/27 02:50:11 - mmengine - INFO - Epoch(train) [23][2800/3757] lr: 9.6359e-03 eta: 2 days, 16:34:46 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 4.8868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0028 loss: 3.0028 2022/07/27 02:50:19 - mmengine - INFO - Epoch(train) [23][2820/3757] lr: 9.6359e-03 eta: 2 days, 16:34:38 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 4.8573 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8924 loss: 2.8924 2022/07/27 02:50:27 - mmengine - INFO - Epoch(train) [23][2840/3757] lr: 9.6359e-03 eta: 2 days, 16:34:30 time: 0.3921 data_time: 0.0162 memory: 17007 grad_norm: 5.0019 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4765 loss: 3.4765 2022/07/27 02:50:35 - mmengine - INFO - Epoch(train) [23][2860/3757] lr: 9.6359e-03 eta: 2 days, 16:34:23 time: 0.4021 data_time: 0.0161 memory: 17007 grad_norm: 4.8875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8361 loss: 2.8361 2022/07/27 02:50:43 - mmengine - INFO - Epoch(train) [23][2880/3757] lr: 9.6359e-03 eta: 2 days, 16:34:15 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 4.9426 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7133 loss: 2.7133 2022/07/27 02:50:50 - mmengine - INFO - Epoch(train) [23][2900/3757] lr: 9.6359e-03 eta: 2 days, 16:34:07 time: 0.3920 data_time: 0.0160 memory: 17007 grad_norm: 5.0250 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0962 loss: 3.0962 2022/07/27 02:50:58 - mmengine - INFO - Epoch(train) [23][2920/3757] lr: 9.6359e-03 eta: 2 days, 16:33:59 time: 0.3907 data_time: 0.0158 memory: 17007 grad_norm: 5.0341 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2130 loss: 3.2130 2022/07/27 02:51:06 - mmengine - INFO - Epoch(train) [23][2940/3757] lr: 9.6359e-03 eta: 2 days, 16:33:51 time: 0.3934 data_time: 0.0166 memory: 17007 grad_norm: 5.0040 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9980 loss: 2.9980 2022/07/27 02:51:14 - mmengine - INFO - Epoch(train) [23][2960/3757] lr: 9.6359e-03 eta: 2 days, 16:33:43 time: 0.3982 data_time: 0.0167 memory: 17007 grad_norm: 5.0799 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9582 loss: 2.9582 2022/07/27 02:51:22 - mmengine - INFO - Epoch(train) [23][2980/3757] lr: 9.6359e-03 eta: 2 days, 16:33:35 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 4.9576 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7855 loss: 2.7855 2022/07/27 02:51:30 - mmengine - INFO - Epoch(train) [23][3000/3757] lr: 9.6359e-03 eta: 2 days, 16:33:28 time: 0.3982 data_time: 0.0169 memory: 17007 grad_norm: 5.0320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8981 loss: 2.8981 2022/07/27 02:51:38 - mmengine - INFO - Epoch(train) [23][3020/3757] lr: 9.6359e-03 eta: 2 days, 16:33:20 time: 0.3914 data_time: 0.0157 memory: 17007 grad_norm: 4.8343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7610 loss: 2.7610 2022/07/27 02:51:46 - mmengine - INFO - Epoch(train) [23][3040/3757] lr: 9.6359e-03 eta: 2 days, 16:33:12 time: 0.3906 data_time: 0.0150 memory: 17007 grad_norm: 4.9682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9510 loss: 2.9510 2022/07/27 02:51:53 - mmengine - INFO - Epoch(train) [23][3060/3757] lr: 9.6359e-03 eta: 2 days, 16:33:04 time: 0.3947 data_time: 0.0167 memory: 17007 grad_norm: 5.1560 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2292 loss: 3.2292 2022/07/27 02:52:01 - mmengine - INFO - Epoch(train) [23][3080/3757] lr: 9.6359e-03 eta: 2 days, 16:32:56 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 5.0394 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1990 loss: 3.1990 2022/07/27 02:52:09 - mmengine - INFO - Epoch(train) [23][3100/3757] lr: 9.6359e-03 eta: 2 days, 16:32:48 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 4.9992 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0491 loss: 3.0491 2022/07/27 02:52:17 - mmengine - INFO - Epoch(train) [23][3120/3757] lr: 9.6359e-03 eta: 2 days, 16:32:40 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 4.8686 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9678 loss: 2.9678 2022/07/27 02:52:25 - mmengine - INFO - Epoch(train) [23][3140/3757] lr: 9.6359e-03 eta: 2 days, 16:32:32 time: 0.3937 data_time: 0.0178 memory: 17007 grad_norm: 4.9206 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8799 loss: 2.8799 2022/07/27 02:52:33 - mmengine - INFO - Epoch(train) [23][3160/3757] lr: 9.6359e-03 eta: 2 days, 16:32:24 time: 0.3925 data_time: 0.0165 memory: 17007 grad_norm: 4.8717 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2170 loss: 3.2170 2022/07/27 02:52:41 - mmengine - INFO - Epoch(train) [23][3180/3757] lr: 9.6359e-03 eta: 2 days, 16:32:16 time: 0.3913 data_time: 0.0145 memory: 17007 grad_norm: 5.0506 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1760 loss: 3.1760 2022/07/27 02:52:48 - mmengine - INFO - Epoch(train) [23][3200/3757] lr: 9.6359e-03 eta: 2 days, 16:32:08 time: 0.3913 data_time: 0.0152 memory: 17007 grad_norm: 4.9718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9986 loss: 2.9986 2022/07/27 02:52:56 - mmengine - INFO - Epoch(train) [23][3220/3757] lr: 9.6359e-03 eta: 2 days, 16:32:00 time: 0.3957 data_time: 0.0145 memory: 17007 grad_norm: 5.0074 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9588 loss: 2.9588 2022/07/27 02:53:04 - mmengine - INFO - Epoch(train) [23][3240/3757] lr: 9.6359e-03 eta: 2 days, 16:31:52 time: 0.3905 data_time: 0.0155 memory: 17007 grad_norm: 5.0364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9936 loss: 2.9936 2022/07/27 02:53:12 - mmengine - INFO - Epoch(train) [23][3260/3757] lr: 9.6359e-03 eta: 2 days, 16:31:44 time: 0.3949 data_time: 0.0181 memory: 17007 grad_norm: 5.0325 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1494 loss: 3.1494 2022/07/27 02:53:20 - mmengine - INFO - Epoch(train) [23][3280/3757] lr: 9.6359e-03 eta: 2 days, 16:31:36 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 5.0189 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.7272 loss: 2.7272 2022/07/27 02:53:28 - mmengine - INFO - Epoch(train) [23][3300/3757] lr: 9.6359e-03 eta: 2 days, 16:31:28 time: 0.3909 data_time: 0.0140 memory: 17007 grad_norm: 4.9767 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9401 loss: 2.9401 2022/07/27 02:53:36 - mmengine - INFO - Epoch(train) [23][3320/3757] lr: 9.6359e-03 eta: 2 days, 16:31:20 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 5.0278 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9426 loss: 2.9426 2022/07/27 02:53:43 - mmengine - INFO - Epoch(train) [23][3340/3757] lr: 9.6359e-03 eta: 2 days, 16:31:12 time: 0.3920 data_time: 0.0163 memory: 17007 grad_norm: 4.9657 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1250 loss: 3.1250 2022/07/27 02:53:46 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:53:51 - mmengine - INFO - Epoch(train) [23][3360/3757] lr: 9.6359e-03 eta: 2 days, 16:31:04 time: 0.3914 data_time: 0.0152 memory: 17007 grad_norm: 4.9265 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8813 loss: 2.8813 2022/07/27 02:53:59 - mmengine - INFO - Epoch(train) [23][3380/3757] lr: 9.6359e-03 eta: 2 days, 16:30:56 time: 0.3908 data_time: 0.0143 memory: 17007 grad_norm: 4.9119 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9044 loss: 2.9044 2022/07/27 02:54:07 - mmengine - INFO - Epoch(train) [23][3400/3757] lr: 9.6359e-03 eta: 2 days, 16:30:47 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 5.0283 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9259 loss: 2.9259 2022/07/27 02:54:15 - mmengine - INFO - Epoch(train) [23][3420/3757] lr: 9.6359e-03 eta: 2 days, 16:30:42 time: 0.4113 data_time: 0.0161 memory: 17007 grad_norm: 4.8428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8091 loss: 2.8091 2022/07/27 02:54:23 - mmengine - INFO - Epoch(train) [23][3440/3757] lr: 9.6359e-03 eta: 2 days, 16:30:34 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 4.8296 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8713 loss: 2.8713 2022/07/27 02:54:31 - mmengine - INFO - Epoch(train) [23][3460/3757] lr: 9.6359e-03 eta: 2 days, 16:30:26 time: 0.3912 data_time: 0.0148 memory: 17007 grad_norm: 4.8113 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8290 loss: 2.8290 2022/07/27 02:54:39 - mmengine - INFO - Epoch(train) [23][3480/3757] lr: 9.6359e-03 eta: 2 days, 16:30:18 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 4.9344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6554 loss: 2.6554 2022/07/27 02:54:46 - mmengine - INFO - Epoch(train) [23][3500/3757] lr: 9.6359e-03 eta: 2 days, 16:30:10 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 5.0341 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9952 loss: 2.9952 2022/07/27 02:54:54 - mmengine - INFO - Epoch(train) [23][3520/3757] lr: 9.6359e-03 eta: 2 days, 16:30:02 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.0235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6526 loss: 2.6526 2022/07/27 02:55:02 - mmengine - INFO - Epoch(train) [23][3540/3757] lr: 9.6359e-03 eta: 2 days, 16:29:54 time: 0.3947 data_time: 0.0166 memory: 17007 grad_norm: 4.9439 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7869 loss: 2.7869 2022/07/27 02:55:10 - mmengine - INFO - Epoch(train) [23][3560/3757] lr: 9.6359e-03 eta: 2 days, 16:29:46 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 4.8454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9278 loss: 2.9278 2022/07/27 02:55:18 - mmengine - INFO - Epoch(train) [23][3580/3757] lr: 9.6359e-03 eta: 2 days, 16:29:38 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 4.9229 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8092 loss: 2.8092 2022/07/27 02:55:26 - mmengine - INFO - Epoch(train) [23][3600/3757] lr: 9.6359e-03 eta: 2 days, 16:29:30 time: 0.3939 data_time: 0.0157 memory: 17007 grad_norm: 4.9175 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8319 loss: 2.8319 2022/07/27 02:55:34 - mmengine - INFO - Epoch(train) [23][3620/3757] lr: 9.6359e-03 eta: 2 days, 16:29:22 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 4.9445 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6192 loss: 2.6192 2022/07/27 02:55:42 - mmengine - INFO - Epoch(train) [23][3640/3757] lr: 9.6359e-03 eta: 2 days, 16:29:14 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 4.9753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0081 loss: 3.0081 2022/07/27 02:55:49 - mmengine - INFO - Epoch(train) [23][3660/3757] lr: 9.6359e-03 eta: 2 days, 16:29:07 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 4.9439 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2566 loss: 3.2566 2022/07/27 02:55:57 - mmengine - INFO - Epoch(train) [23][3680/3757] lr: 9.6359e-03 eta: 2 days, 16:28:59 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 5.1419 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9529 loss: 2.9529 2022/07/27 02:56:05 - mmengine - INFO - Epoch(train) [23][3700/3757] lr: 9.6359e-03 eta: 2 days, 16:28:50 time: 0.3909 data_time: 0.0151 memory: 17007 grad_norm: 5.0833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0109 loss: 3.0109 2022/07/27 02:56:13 - mmengine - INFO - Epoch(train) [23][3720/3757] lr: 9.6359e-03 eta: 2 days, 16:28:43 time: 0.3976 data_time: 0.0154 memory: 17007 grad_norm: 4.8819 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8729 loss: 2.8729 2022/07/27 02:56:21 - mmengine - INFO - Epoch(train) [23][3740/3757] lr: 9.6359e-03 eta: 2 days, 16:28:35 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 4.9981 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9642 loss: 2.9642 2022/07/27 02:56:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 02:56:28 - mmengine - INFO - Epoch(train) [23][3757/3757] lr: 9.6359e-03 eta: 2 days, 16:28:35 time: 0.3895 data_time: 0.0166 memory: 17007 grad_norm: 5.0993 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.7438 loss: 2.7438 2022/07/27 02:56:28 - mmengine - INFO - Saving checkpoint at 23 epochs 2022/07/27 02:56:38 - mmengine - INFO - Epoch(train) [24][20/3757] lr: 9.6025e-03 eta: 2 days, 16:27:42 time: 0.4468 data_time: 0.0701 memory: 17007 grad_norm: 4.9864 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7748 loss: 2.7748 2022/07/27 02:56:46 - mmengine - INFO - Epoch(train) [24][40/3757] lr: 9.6025e-03 eta: 2 days, 16:27:35 time: 0.4005 data_time: 0.0189 memory: 17007 grad_norm: 4.8422 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9574 loss: 2.9574 2022/07/27 02:56:54 - mmengine - INFO - Epoch(train) [24][60/3757] lr: 9.6025e-03 eta: 2 days, 16:27:27 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 5.0232 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9726 loss: 2.9726 2022/07/27 02:57:02 - mmengine - INFO - Epoch(train) [24][80/3757] lr: 9.6025e-03 eta: 2 days, 16:27:20 time: 0.3964 data_time: 0.0179 memory: 17007 grad_norm: 4.9110 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9750 loss: 2.9750 2022/07/27 02:57:10 - mmengine - INFO - Epoch(train) [24][100/3757] lr: 9.6025e-03 eta: 2 days, 16:27:11 time: 0.3899 data_time: 0.0145 memory: 17007 grad_norm: 4.8274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.1945 loss: 3.1945 2022/07/27 02:57:18 - mmengine - INFO - Epoch(train) [24][120/3757] lr: 9.6025e-03 eta: 2 days, 16:27:03 time: 0.3906 data_time: 0.0147 memory: 17007 grad_norm: 5.0833 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.9780 loss: 2.9780 2022/07/27 02:57:26 - mmengine - INFO - Epoch(train) [24][140/3757] lr: 9.6025e-03 eta: 2 days, 16:26:56 time: 0.4005 data_time: 0.0167 memory: 17007 grad_norm: 4.9266 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9925 loss: 2.9925 2022/07/27 02:57:34 - mmengine - INFO - Epoch(train) [24][160/3757] lr: 9.6025e-03 eta: 2 days, 16:26:48 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 4.8765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9201 loss: 2.9201 2022/07/27 02:57:42 - mmengine - INFO - Epoch(train) [24][180/3757] lr: 9.6025e-03 eta: 2 days, 16:26:41 time: 0.3973 data_time: 0.0160 memory: 17007 grad_norm: 4.8330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6305 loss: 2.6305 2022/07/27 02:57:49 - mmengine - INFO - Epoch(train) [24][200/3757] lr: 9.6025e-03 eta: 2 days, 16:26:33 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 5.0586 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1197 loss: 3.1197 2022/07/27 02:57:57 - mmengine - INFO - Epoch(train) [24][220/3757] lr: 9.6025e-03 eta: 2 days, 16:26:25 time: 0.3904 data_time: 0.0150 memory: 17007 grad_norm: 4.9869 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8900 loss: 2.8900 2022/07/27 02:58:05 - mmengine - INFO - Epoch(train) [24][240/3757] lr: 9.6025e-03 eta: 2 days, 16:26:17 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 4.9924 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9342 loss: 2.9342 2022/07/27 02:58:13 - mmengine - INFO - Epoch(train) [24][260/3757] lr: 9.6025e-03 eta: 2 days, 16:26:09 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 5.1509 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1265 loss: 3.1265 2022/07/27 02:58:21 - mmengine - INFO - Epoch(train) [24][280/3757] lr: 9.6025e-03 eta: 2 days, 16:26:01 time: 0.3957 data_time: 0.0181 memory: 17007 grad_norm: 5.1301 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1785 loss: 3.1785 2022/07/27 02:58:29 - mmengine - INFO - Epoch(train) [24][300/3757] lr: 9.6025e-03 eta: 2 days, 16:25:53 time: 0.3906 data_time: 0.0141 memory: 17007 grad_norm: 5.1635 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3421 loss: 3.3421 2022/07/27 02:58:37 - mmengine - INFO - Epoch(train) [24][320/3757] lr: 9.6025e-03 eta: 2 days, 16:25:45 time: 0.3914 data_time: 0.0151 memory: 17007 grad_norm: 5.0669 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1070 loss: 3.1070 2022/07/27 02:58:44 - mmengine - INFO - Epoch(train) [24][340/3757] lr: 9.6025e-03 eta: 2 days, 16:25:37 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 4.9926 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7806 loss: 2.7806 2022/07/27 02:58:52 - mmengine - INFO - Epoch(train) [24][360/3757] lr: 9.6025e-03 eta: 2 days, 16:25:29 time: 0.3948 data_time: 0.0178 memory: 17007 grad_norm: 4.9785 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7280 loss: 2.7280 2022/07/27 02:59:00 - mmengine - INFO - Epoch(train) [24][380/3757] lr: 9.6025e-03 eta: 2 days, 16:25:21 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 4.9745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0058 loss: 3.0058 2022/07/27 02:59:08 - mmengine - INFO - Epoch(train) [24][400/3757] lr: 9.6025e-03 eta: 2 days, 16:25:13 time: 0.3908 data_time: 0.0154 memory: 17007 grad_norm: 5.1726 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0122 loss: 3.0122 2022/07/27 02:59:16 - mmengine - INFO - Epoch(train) [24][420/3757] lr: 9.6025e-03 eta: 2 days, 16:25:05 time: 0.3918 data_time: 0.0149 memory: 17007 grad_norm: 4.9817 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1452 loss: 3.1452 2022/07/27 02:59:24 - mmengine - INFO - Epoch(train) [24][440/3757] lr: 9.6025e-03 eta: 2 days, 16:24:57 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 5.1333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2066 loss: 3.2066 2022/07/27 02:59:32 - mmengine - INFO - Epoch(train) [24][460/3757] lr: 9.6025e-03 eta: 2 days, 16:24:49 time: 0.3934 data_time: 0.0147 memory: 17007 grad_norm: 5.0032 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7570 loss: 2.7570 2022/07/27 02:59:39 - mmengine - INFO - Epoch(train) [24][480/3757] lr: 9.6025e-03 eta: 2 days, 16:24:41 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 4.9770 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9664 loss: 2.9664 2022/07/27 02:59:47 - mmengine - INFO - Epoch(train) [24][500/3757] lr: 9.6025e-03 eta: 2 days, 16:24:33 time: 0.3944 data_time: 0.0170 memory: 17007 grad_norm: 5.0114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6544 loss: 2.6544 2022/07/27 02:59:55 - mmengine - INFO - Epoch(train) [24][520/3757] lr: 9.6025e-03 eta: 2 days, 16:24:25 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 4.7860 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8073 loss: 2.8073 2022/07/27 03:00:03 - mmengine - INFO - Epoch(train) [24][540/3757] lr: 9.6025e-03 eta: 2 days, 16:24:17 time: 0.3915 data_time: 0.0153 memory: 17007 grad_norm: 5.0759 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8253 loss: 2.8253 2022/07/27 03:00:11 - mmengine - INFO - Epoch(train) [24][560/3757] lr: 9.6025e-03 eta: 2 days, 16:24:09 time: 0.3941 data_time: 0.0166 memory: 17007 grad_norm: 4.9783 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9628 loss: 2.9628 2022/07/27 03:00:19 - mmengine - INFO - Epoch(train) [24][580/3757] lr: 9.6025e-03 eta: 2 days, 16:24:01 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 5.0954 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3016 loss: 3.3016 2022/07/27 03:00:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:00:27 - mmengine - INFO - Epoch(train) [24][600/3757] lr: 9.6025e-03 eta: 2 days, 16:23:54 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 4.8508 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9514 loss: 2.9514 2022/07/27 03:00:35 - mmengine - INFO - Epoch(train) [24][620/3757] lr: 9.6025e-03 eta: 2 days, 16:23:46 time: 0.3990 data_time: 0.0151 memory: 17007 grad_norm: 4.9947 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9954 loss: 2.9954 2022/07/27 03:00:43 - mmengine - INFO - Epoch(train) [24][640/3757] lr: 9.6025e-03 eta: 2 days, 16:23:39 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 4.8751 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8307 loss: 2.8307 2022/07/27 03:00:50 - mmengine - INFO - Epoch(train) [24][660/3757] lr: 9.6025e-03 eta: 2 days, 16:23:31 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 5.0650 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1203 loss: 3.1203 2022/07/27 03:00:58 - mmengine - INFO - Epoch(train) [24][680/3757] lr: 9.6025e-03 eta: 2 days, 16:23:23 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 4.9100 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8897 loss: 2.8897 2022/07/27 03:01:06 - mmengine - INFO - Epoch(train) [24][700/3757] lr: 9.6025e-03 eta: 2 days, 16:23:15 time: 0.3970 data_time: 0.0162 memory: 17007 grad_norm: 4.9153 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8523 loss: 2.8523 2022/07/27 03:01:14 - mmengine - INFO - Epoch(train) [24][720/3757] lr: 9.6025e-03 eta: 2 days, 16:23:10 time: 0.4082 data_time: 0.0158 memory: 17007 grad_norm: 4.9258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9597 loss: 2.9597 2022/07/27 03:01:22 - mmengine - INFO - Epoch(train) [24][740/3757] lr: 9.6025e-03 eta: 2 days, 16:23:02 time: 0.3954 data_time: 0.0146 memory: 17007 grad_norm: 4.9978 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8772 loss: 2.8772 2022/07/27 03:01:30 - mmengine - INFO - Epoch(train) [24][760/3757] lr: 9.6025e-03 eta: 2 days, 16:22:54 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 4.9550 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7837 loss: 2.7837 2022/07/27 03:01:38 - mmengine - INFO - Epoch(train) [24][780/3757] lr: 9.6025e-03 eta: 2 days, 16:22:46 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 5.2843 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1254 loss: 3.1254 2022/07/27 03:01:46 - mmengine - INFO - Epoch(train) [24][800/3757] lr: 9.6025e-03 eta: 2 days, 16:22:38 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 5.1082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9405 loss: 2.9405 2022/07/27 03:01:54 - mmengine - INFO - Epoch(train) [24][820/3757] lr: 9.6025e-03 eta: 2 days, 16:22:30 time: 0.3920 data_time: 0.0145 memory: 17007 grad_norm: 4.9539 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 3.1061 loss: 3.1061 2022/07/27 03:02:01 - mmengine - INFO - Epoch(train) [24][840/3757] lr: 9.6025e-03 eta: 2 days, 16:22:22 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 5.0621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9745 loss: 2.9745 2022/07/27 03:02:09 - mmengine - INFO - Epoch(train) [24][860/3757] lr: 9.6025e-03 eta: 2 days, 16:22:14 time: 0.3904 data_time: 0.0146 memory: 17007 grad_norm: 5.0203 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7838 loss: 2.7838 2022/07/27 03:02:17 - mmengine - INFO - Epoch(train) [24][880/3757] lr: 9.6025e-03 eta: 2 days, 16:22:06 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 5.0221 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8786 loss: 2.8786 2022/07/27 03:02:25 - mmengine - INFO - Epoch(train) [24][900/3757] lr: 9.6025e-03 eta: 2 days, 16:21:58 time: 0.3935 data_time: 0.0155 memory: 17007 grad_norm: 4.8808 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9170 loss: 2.9170 2022/07/27 03:02:33 - mmengine - INFO - Epoch(train) [24][920/3757] lr: 9.6025e-03 eta: 2 days, 16:21:50 time: 0.3937 data_time: 0.0178 memory: 17007 grad_norm: 4.9279 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9295 loss: 2.9295 2022/07/27 03:02:41 - mmengine - INFO - Epoch(train) [24][940/3757] lr: 9.6025e-03 eta: 2 days, 16:21:42 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 4.9648 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6601 loss: 2.6601 2022/07/27 03:02:49 - mmengine - INFO - Epoch(train) [24][960/3757] lr: 9.6025e-03 eta: 2 days, 16:21:34 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 4.9254 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.0110 loss: 3.0110 2022/07/27 03:02:56 - mmengine - INFO - Epoch(train) [24][980/3757] lr: 9.6025e-03 eta: 2 days, 16:21:26 time: 0.3916 data_time: 0.0148 memory: 17007 grad_norm: 4.9569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8163 loss: 2.8163 2022/07/27 03:03:04 - mmengine - INFO - Epoch(train) [24][1000/3757] lr: 9.6025e-03 eta: 2 days, 16:21:18 time: 0.3941 data_time: 0.0170 memory: 17007 grad_norm: 4.8237 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0370 loss: 3.0370 2022/07/27 03:03:12 - mmengine - INFO - Epoch(train) [24][1020/3757] lr: 9.6025e-03 eta: 2 days, 16:21:10 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 4.8767 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7900 loss: 2.7900 2022/07/27 03:03:20 - mmengine - INFO - Epoch(train) [24][1040/3757] lr: 9.6025e-03 eta: 2 days, 16:21:02 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 4.8792 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7136 loss: 2.7136 2022/07/27 03:03:28 - mmengine - INFO - Epoch(train) [24][1060/3757] lr: 9.6025e-03 eta: 2 days, 16:20:54 time: 0.3913 data_time: 0.0134 memory: 17007 grad_norm: 5.0560 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9185 loss: 2.9185 2022/07/27 03:03:36 - mmengine - INFO - Epoch(train) [24][1080/3757] lr: 9.6025e-03 eta: 2 days, 16:20:46 time: 0.3951 data_time: 0.0184 memory: 17007 grad_norm: 4.7884 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6837 loss: 2.6837 2022/07/27 03:03:44 - mmengine - INFO - Epoch(train) [24][1100/3757] lr: 9.6025e-03 eta: 2 days, 16:20:38 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 4.9830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8034 loss: 2.8034 2022/07/27 03:03:51 - mmengine - INFO - Epoch(train) [24][1120/3757] lr: 9.6025e-03 eta: 2 days, 16:20:30 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 4.9190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7979 loss: 2.7979 2022/07/27 03:03:59 - mmengine - INFO - Epoch(train) [24][1140/3757] lr: 9.6025e-03 eta: 2 days, 16:20:22 time: 0.3910 data_time: 0.0147 memory: 17007 grad_norm: 5.0747 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1660 loss: 3.1660 2022/07/27 03:04:07 - mmengine - INFO - Epoch(train) [24][1160/3757] lr: 9.6025e-03 eta: 2 days, 16:20:14 time: 0.3924 data_time: 0.0168 memory: 17007 grad_norm: 5.0330 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1458 loss: 3.1458 2022/07/27 03:04:15 - mmengine - INFO - Epoch(train) [24][1180/3757] lr: 9.6025e-03 eta: 2 days, 16:20:06 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 4.9456 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9021 loss: 2.9021 2022/07/27 03:04:23 - mmengine - INFO - Epoch(train) [24][1200/3757] lr: 9.6025e-03 eta: 2 days, 16:19:58 time: 0.3943 data_time: 0.0170 memory: 17007 grad_norm: 5.1573 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0818 loss: 3.0818 2022/07/27 03:04:31 - mmengine - INFO - Epoch(train) [24][1220/3757] lr: 9.6025e-03 eta: 2 days, 16:19:51 time: 0.3950 data_time: 0.0162 memory: 17007 grad_norm: 5.0939 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9811 loss: 2.9811 2022/07/27 03:04:39 - mmengine - INFO - Epoch(train) [24][1240/3757] lr: 9.6025e-03 eta: 2 days, 16:19:43 time: 0.3921 data_time: 0.0161 memory: 17007 grad_norm: 4.9481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8201 loss: 2.8201 2022/07/27 03:04:47 - mmengine - INFO - Epoch(train) [24][1260/3757] lr: 9.6025e-03 eta: 2 days, 16:19:35 time: 0.3965 data_time: 0.0160 memory: 17007 grad_norm: 4.9715 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7576 loss: 2.7576 2022/07/27 03:04:55 - mmengine - INFO - Epoch(train) [24][1280/3757] lr: 9.6025e-03 eta: 2 days, 16:19:29 time: 0.4034 data_time: 0.0169 memory: 17007 grad_norm: 5.0404 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8537 loss: 2.8537 2022/07/27 03:05:03 - mmengine - INFO - Epoch(train) [24][1300/3757] lr: 9.6025e-03 eta: 2 days, 16:19:21 time: 0.3943 data_time: 0.0158 memory: 17007 grad_norm: 5.2399 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1941 loss: 3.1941 2022/07/27 03:05:10 - mmengine - INFO - Epoch(train) [24][1320/3757] lr: 9.6025e-03 eta: 2 days, 16:19:13 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 4.8543 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1199 loss: 3.1199 2022/07/27 03:05:18 - mmengine - INFO - Epoch(train) [24][1340/3757] lr: 9.6025e-03 eta: 2 days, 16:19:05 time: 0.3909 data_time: 0.0149 memory: 17007 grad_norm: 4.8646 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7484 loss: 2.7484 2022/07/27 03:05:26 - mmengine - INFO - Epoch(train) [24][1360/3757] lr: 9.6025e-03 eta: 2 days, 16:18:57 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 4.9686 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0568 loss: 3.0568 2022/07/27 03:05:34 - mmengine - INFO - Epoch(train) [24][1380/3757] lr: 9.6025e-03 eta: 2 days, 16:18:49 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.0249 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0053 loss: 3.0053 2022/07/27 03:05:42 - mmengine - INFO - Epoch(train) [24][1400/3757] lr: 9.6025e-03 eta: 2 days, 16:18:41 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 5.1128 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2234 loss: 3.2234 2022/07/27 03:05:50 - mmengine - INFO - Epoch(train) [24][1420/3757] lr: 9.6025e-03 eta: 2 days, 16:18:33 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 5.0442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7973 loss: 2.7973 2022/07/27 03:05:57 - mmengine - INFO - Epoch(train) [24][1440/3757] lr: 9.6025e-03 eta: 2 days, 16:18:25 time: 0.3937 data_time: 0.0162 memory: 17007 grad_norm: 4.9212 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7141 loss: 2.7141 2022/07/27 03:06:05 - mmengine - INFO - Epoch(train) [24][1460/3757] lr: 9.6025e-03 eta: 2 days, 16:18:17 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 5.0103 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6385 loss: 2.6385 2022/07/27 03:06:13 - mmengine - INFO - Epoch(train) [24][1480/3757] lr: 9.6025e-03 eta: 2 days, 16:18:09 time: 0.3926 data_time: 0.0168 memory: 17007 grad_norm: 5.1692 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2336 loss: 3.2336 2022/07/27 03:06:21 - mmengine - INFO - Epoch(train) [24][1500/3757] lr: 9.6025e-03 eta: 2 days, 16:18:03 time: 0.4053 data_time: 0.0155 memory: 17007 grad_norm: 4.9715 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9355 loss: 2.9355 2022/07/27 03:06:29 - mmengine - INFO - Epoch(train) [24][1520/3757] lr: 9.6025e-03 eta: 2 days, 16:17:55 time: 0.3933 data_time: 0.0169 memory: 17007 grad_norm: 4.9149 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1743 loss: 3.1743 2022/07/27 03:06:37 - mmengine - INFO - Epoch(train) [24][1540/3757] lr: 9.6025e-03 eta: 2 days, 16:17:47 time: 0.3931 data_time: 0.0172 memory: 17007 grad_norm: 4.8034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6686 loss: 2.6686 2022/07/27 03:06:45 - mmengine - INFO - Epoch(train) [24][1560/3757] lr: 9.6025e-03 eta: 2 days, 16:17:39 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 4.9167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5859 loss: 2.5859 2022/07/27 03:06:53 - mmengine - INFO - Epoch(train) [24][1580/3757] lr: 9.6025e-03 eta: 2 days, 16:17:31 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 5.2161 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1934 loss: 3.1934 2022/07/27 03:06:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:07:01 - mmengine - INFO - Epoch(train) [24][1600/3757] lr: 9.6025e-03 eta: 2 days, 16:17:24 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 4.9879 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8919 loss: 2.8919 2022/07/27 03:07:09 - mmengine - INFO - Epoch(train) [24][1620/3757] lr: 9.6025e-03 eta: 2 days, 16:17:16 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 5.0473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7813 loss: 2.7813 2022/07/27 03:07:16 - mmengine - INFO - Epoch(train) [24][1640/3757] lr: 9.6025e-03 eta: 2 days, 16:17:08 time: 0.3923 data_time: 0.0165 memory: 17007 grad_norm: 5.0816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9728 loss: 2.9728 2022/07/27 03:07:24 - mmengine - INFO - Epoch(train) [24][1660/3757] lr: 9.6025e-03 eta: 2 days, 16:17:00 time: 0.3937 data_time: 0.0143 memory: 17007 grad_norm: 5.0913 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9391 loss: 2.9391 2022/07/27 03:07:32 - mmengine - INFO - Epoch(train) [24][1680/3757] lr: 9.6025e-03 eta: 2 days, 16:16:52 time: 0.3944 data_time: 0.0177 memory: 17007 grad_norm: 5.1210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7278 loss: 2.7278 2022/07/27 03:07:40 - mmengine - INFO - Epoch(train) [24][1700/3757] lr: 9.6025e-03 eta: 2 days, 16:16:44 time: 0.3903 data_time: 0.0153 memory: 17007 grad_norm: 5.0457 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6777 loss: 2.6777 2022/07/27 03:07:48 - mmengine - INFO - Epoch(train) [24][1720/3757] lr: 9.6025e-03 eta: 2 days, 16:16:36 time: 0.3952 data_time: 0.0162 memory: 17007 grad_norm: 4.8319 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8823 loss: 2.8823 2022/07/27 03:07:56 - mmengine - INFO - Epoch(train) [24][1740/3757] lr: 9.6025e-03 eta: 2 days, 16:16:28 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 4.9518 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8275 loss: 2.8275 2022/07/27 03:08:04 - mmengine - INFO - Epoch(train) [24][1760/3757] lr: 9.6025e-03 eta: 2 days, 16:16:20 time: 0.3909 data_time: 0.0153 memory: 17007 grad_norm: 5.1448 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8455 loss: 2.8455 2022/07/27 03:08:11 - mmengine - INFO - Epoch(train) [24][1780/3757] lr: 9.6025e-03 eta: 2 days, 16:16:12 time: 0.3910 data_time: 0.0160 memory: 17007 grad_norm: 5.0908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8648 loss: 2.8648 2022/07/27 03:08:19 - mmengine - INFO - Epoch(train) [24][1800/3757] lr: 9.6025e-03 eta: 2 days, 16:16:04 time: 0.3902 data_time: 0.0147 memory: 17007 grad_norm: 4.9851 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0414 loss: 3.0414 2022/07/27 03:08:27 - mmengine - INFO - Epoch(train) [24][1820/3757] lr: 9.6025e-03 eta: 2 days, 16:15:56 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 5.0005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1454 loss: 3.1454 2022/07/27 03:08:35 - mmengine - INFO - Epoch(train) [24][1840/3757] lr: 9.6025e-03 eta: 2 days, 16:15:48 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 5.0371 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0975 loss: 3.0975 2022/07/27 03:08:43 - mmengine - INFO - Epoch(train) [24][1860/3757] lr: 9.6025e-03 eta: 2 days, 16:15:42 time: 0.4056 data_time: 0.0147 memory: 17007 grad_norm: 5.0047 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8234 loss: 2.8234 2022/07/27 03:08:51 - mmengine - INFO - Epoch(train) [24][1880/3757] lr: 9.6025e-03 eta: 2 days, 16:15:34 time: 0.3929 data_time: 0.0163 memory: 17007 grad_norm: 4.9518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6553 loss: 2.6553 2022/07/27 03:08:59 - mmengine - INFO - Epoch(train) [24][1900/3757] lr: 9.6025e-03 eta: 2 days, 16:15:26 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 5.1313 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6510 loss: 2.6510 2022/07/27 03:09:07 - mmengine - INFO - Epoch(train) [24][1920/3757] lr: 9.6025e-03 eta: 2 days, 16:15:18 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 4.9811 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9720 loss: 2.9720 2022/07/27 03:09:15 - mmengine - INFO - Epoch(train) [24][1940/3757] lr: 9.6025e-03 eta: 2 days, 16:15:10 time: 0.3942 data_time: 0.0172 memory: 17007 grad_norm: 4.9565 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8543 loss: 2.8543 2022/07/27 03:09:22 - mmengine - INFO - Epoch(train) [24][1960/3757] lr: 9.6025e-03 eta: 2 days, 16:15:02 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 5.1893 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9143 loss: 2.9143 2022/07/27 03:09:30 - mmengine - INFO - Epoch(train) [24][1980/3757] lr: 9.6025e-03 eta: 2 days, 16:14:54 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 5.1396 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8445 loss: 2.8445 2022/07/27 03:09:38 - mmengine - INFO - Epoch(train) [24][2000/3757] lr: 9.6025e-03 eta: 2 days, 16:14:46 time: 0.3972 data_time: 0.0164 memory: 17007 grad_norm: 4.9907 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5099 loss: 2.5099 2022/07/27 03:09:46 - mmengine - INFO - Epoch(train) [24][2020/3757] lr: 9.6025e-03 eta: 2 days, 16:14:38 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 4.9697 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0304 loss: 3.0304 2022/07/27 03:09:54 - mmengine - INFO - Epoch(train) [24][2040/3757] lr: 9.6025e-03 eta: 2 days, 16:14:31 time: 0.3937 data_time: 0.0152 memory: 17007 grad_norm: 4.9849 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8595 loss: 2.8595 2022/07/27 03:10:02 - mmengine - INFO - Epoch(train) [24][2060/3757] lr: 9.6025e-03 eta: 2 days, 16:14:22 time: 0.3920 data_time: 0.0146 memory: 17007 grad_norm: 5.1347 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9820 loss: 2.9820 2022/07/27 03:10:10 - mmengine - INFO - Epoch(train) [24][2080/3757] lr: 9.6025e-03 eta: 2 days, 16:14:15 time: 0.3934 data_time: 0.0167 memory: 17007 grad_norm: 4.9591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6816 loss: 2.6816 2022/07/27 03:10:18 - mmengine - INFO - Epoch(train) [24][2100/3757] lr: 9.6025e-03 eta: 2 days, 16:14:08 time: 0.4000 data_time: 0.0175 memory: 17007 grad_norm: 5.2234 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9205 loss: 2.9205 2022/07/27 03:10:25 - mmengine - INFO - Epoch(train) [24][2120/3757] lr: 9.6025e-03 eta: 2 days, 16:14:00 time: 0.3926 data_time: 0.0162 memory: 17007 grad_norm: 4.9381 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7846 loss: 2.7846 2022/07/27 03:10:33 - mmengine - INFO - Epoch(train) [24][2140/3757] lr: 9.6025e-03 eta: 2 days, 16:13:52 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.0562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8238 loss: 2.8238 2022/07/27 03:10:41 - mmengine - INFO - Epoch(train) [24][2160/3757] lr: 9.6025e-03 eta: 2 days, 16:13:44 time: 0.3921 data_time: 0.0159 memory: 17007 grad_norm: 4.8948 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.9397 loss: 2.9397 2022/07/27 03:10:49 - mmengine - INFO - Epoch(train) [24][2180/3757] lr: 9.6025e-03 eta: 2 days, 16:13:36 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 4.8843 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8985 loss: 2.8985 2022/07/27 03:10:57 - mmengine - INFO - Epoch(train) [24][2200/3757] lr: 9.6025e-03 eta: 2 days, 16:13:28 time: 0.3936 data_time: 0.0174 memory: 17007 grad_norm: 5.2002 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1089 loss: 3.1089 2022/07/27 03:11:05 - mmengine - INFO - Epoch(train) [24][2220/3757] lr: 9.6025e-03 eta: 2 days, 16:13:20 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 5.1803 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8332 loss: 2.8332 2022/07/27 03:11:13 - mmengine - INFO - Epoch(train) [24][2240/3757] lr: 9.6025e-03 eta: 2 days, 16:13:12 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 5.1196 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8319 loss: 2.8319 2022/07/27 03:11:20 - mmengine - INFO - Epoch(train) [24][2260/3757] lr: 9.6025e-03 eta: 2 days, 16:13:04 time: 0.3903 data_time: 0.0146 memory: 17007 grad_norm: 5.1324 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1851 loss: 3.1851 2022/07/27 03:11:28 - mmengine - INFO - Epoch(train) [24][2280/3757] lr: 9.6025e-03 eta: 2 days, 16:12:56 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 5.0860 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8960 loss: 2.8960 2022/07/27 03:11:36 - mmengine - INFO - Epoch(train) [24][2300/3757] lr: 9.6025e-03 eta: 2 days, 16:12:48 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 4.9448 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6440 loss: 2.6440 2022/07/27 03:11:44 - mmengine - INFO - Epoch(train) [24][2320/3757] lr: 9.6025e-03 eta: 2 days, 16:12:40 time: 0.3918 data_time: 0.0166 memory: 17007 grad_norm: 4.9437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8823 loss: 2.8823 2022/07/27 03:11:52 - mmengine - INFO - Epoch(train) [24][2340/3757] lr: 9.6025e-03 eta: 2 days, 16:12:32 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 5.0154 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9077 loss: 2.9077 2022/07/27 03:12:00 - mmengine - INFO - Epoch(train) [24][2360/3757] lr: 9.6025e-03 eta: 2 days, 16:12:24 time: 0.3913 data_time: 0.0149 memory: 17007 grad_norm: 4.9341 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9237 loss: 2.9237 2022/07/27 03:12:08 - mmengine - INFO - Epoch(train) [24][2380/3757] lr: 9.6025e-03 eta: 2 days, 16:12:16 time: 0.3974 data_time: 0.0174 memory: 17007 grad_norm: 5.0972 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6370 loss: 2.6370 2022/07/27 03:12:15 - mmengine - INFO - Epoch(train) [24][2400/3757] lr: 9.6025e-03 eta: 2 days, 16:12:08 time: 0.3939 data_time: 0.0163 memory: 17007 grad_norm: 5.1498 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1731 loss: 3.1731 2022/07/27 03:12:23 - mmengine - INFO - Epoch(train) [24][2420/3757] lr: 9.6025e-03 eta: 2 days, 16:12:01 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 5.2063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7075 loss: 2.7075 2022/07/27 03:12:31 - mmengine - INFO - Epoch(train) [24][2440/3757] lr: 9.6025e-03 eta: 2 days, 16:11:53 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 5.0151 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7224 loss: 2.7224 2022/07/27 03:12:39 - mmengine - INFO - Epoch(train) [24][2460/3757] lr: 9.6025e-03 eta: 2 days, 16:11:45 time: 0.3914 data_time: 0.0146 memory: 17007 grad_norm: 5.0349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9463 loss: 2.9463 2022/07/27 03:12:47 - mmengine - INFO - Epoch(train) [24][2480/3757] lr: 9.6025e-03 eta: 2 days, 16:11:37 time: 0.3929 data_time: 0.0166 memory: 17007 grad_norm: 5.0977 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9091 loss: 2.9091 2022/07/27 03:12:55 - mmengine - INFO - Epoch(train) [24][2500/3757] lr: 9.6025e-03 eta: 2 days, 16:11:29 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 5.0276 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8346 loss: 2.8346 2022/07/27 03:13:03 - mmengine - INFO - Epoch(train) [24][2520/3757] lr: 9.6025e-03 eta: 2 days, 16:11:22 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 5.0316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0826 loss: 3.0826 2022/07/27 03:13:11 - mmengine - INFO - Epoch(train) [24][2540/3757] lr: 9.6025e-03 eta: 2 days, 16:11:13 time: 0.3904 data_time: 0.0145 memory: 17007 grad_norm: 4.9404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9926 loss: 2.9926 2022/07/27 03:13:18 - mmengine - INFO - Epoch(train) [24][2560/3757] lr: 9.6025e-03 eta: 2 days, 16:11:05 time: 0.3910 data_time: 0.0153 memory: 17007 grad_norm: 5.0618 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9150 loss: 2.9150 2022/07/27 03:13:26 - mmengine - INFO - Epoch(train) [24][2580/3757] lr: 9.6025e-03 eta: 2 days, 16:10:57 time: 0.3943 data_time: 0.0167 memory: 17007 grad_norm: 5.2205 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1228 loss: 3.1228 2022/07/27 03:13:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:13:34 - mmengine - INFO - Epoch(train) [24][2600/3757] lr: 9.6025e-03 eta: 2 days, 16:10:50 time: 0.3943 data_time: 0.0173 memory: 17007 grad_norm: 5.0251 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0147 loss: 3.0147 2022/07/27 03:13:42 - mmengine - INFO - Epoch(train) [24][2620/3757] lr: 9.6025e-03 eta: 2 days, 16:10:42 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 5.0688 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8209 loss: 2.8209 2022/07/27 03:13:50 - mmengine - INFO - Epoch(train) [24][2640/3757] lr: 9.6025e-03 eta: 2 days, 16:10:34 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.0091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8549 loss: 2.8549 2022/07/27 03:13:58 - mmengine - INFO - Epoch(train) [24][2660/3757] lr: 9.6025e-03 eta: 2 days, 16:10:26 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 5.0245 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6142 loss: 2.6142 2022/07/27 03:14:06 - mmengine - INFO - Epoch(train) [24][2680/3757] lr: 9.6025e-03 eta: 2 days, 16:10:18 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 5.0384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0563 loss: 3.0563 2022/07/27 03:14:14 - mmengine - INFO - Epoch(train) [24][2700/3757] lr: 9.6025e-03 eta: 2 days, 16:10:10 time: 0.3944 data_time: 0.0164 memory: 17007 grad_norm: 5.0953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5432 loss: 2.5432 2022/07/27 03:14:21 - mmengine - INFO - Epoch(train) [24][2720/3757] lr: 9.6025e-03 eta: 2 days, 16:10:03 time: 0.3953 data_time: 0.0166 memory: 17007 grad_norm: 5.2527 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8248 loss: 2.8248 2022/07/27 03:14:29 - mmengine - INFO - Epoch(train) [24][2740/3757] lr: 9.6025e-03 eta: 2 days, 16:09:54 time: 0.3902 data_time: 0.0142 memory: 17007 grad_norm: 5.0864 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7558 loss: 2.7558 2022/07/27 03:14:37 - mmengine - INFO - Epoch(train) [24][2760/3757] lr: 9.6025e-03 eta: 2 days, 16:09:48 time: 0.4052 data_time: 0.0175 memory: 17007 grad_norm: 4.9650 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0889 loss: 3.0889 2022/07/27 03:14:45 - mmengine - INFO - Epoch(train) [24][2780/3757] lr: 9.6025e-03 eta: 2 days, 16:09:40 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 4.9986 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9308 loss: 2.9308 2022/07/27 03:14:53 - mmengine - INFO - Epoch(train) [24][2800/3757] lr: 9.6025e-03 eta: 2 days, 16:09:32 time: 0.3924 data_time: 0.0164 memory: 17007 grad_norm: 5.0028 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9087 loss: 2.9087 2022/07/27 03:15:01 - mmengine - INFO - Epoch(train) [24][2820/3757] lr: 9.6025e-03 eta: 2 days, 16:09:24 time: 0.3912 data_time: 0.0143 memory: 17007 grad_norm: 4.9562 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8990 loss: 2.8990 2022/07/27 03:15:09 - mmengine - INFO - Epoch(train) [24][2840/3757] lr: 9.6025e-03 eta: 2 days, 16:09:16 time: 0.3963 data_time: 0.0157 memory: 17007 grad_norm: 5.0942 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.0641 loss: 3.0641 2022/07/27 03:15:17 - mmengine - INFO - Epoch(train) [24][2860/3757] lr: 9.6025e-03 eta: 2 days, 16:09:09 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 4.9162 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9243 loss: 2.9243 2022/07/27 03:15:25 - mmengine - INFO - Epoch(train) [24][2880/3757] lr: 9.6025e-03 eta: 2 days, 16:09:00 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 5.0870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8541 loss: 2.8541 2022/07/27 03:15:32 - mmengine - INFO - Epoch(train) [24][2900/3757] lr: 9.6025e-03 eta: 2 days, 16:08:53 time: 0.3951 data_time: 0.0164 memory: 17007 grad_norm: 4.9043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7086 loss: 2.7086 2022/07/27 03:15:40 - mmengine - INFO - Epoch(train) [24][2920/3757] lr: 9.6025e-03 eta: 2 days, 16:08:45 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 5.0149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8635 loss: 2.8635 2022/07/27 03:15:48 - mmengine - INFO - Epoch(train) [24][2940/3757] lr: 9.6025e-03 eta: 2 days, 16:08:37 time: 0.3914 data_time: 0.0149 memory: 17007 grad_norm: 4.9691 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8790 loss: 2.8790 2022/07/27 03:15:56 - mmengine - INFO - Epoch(train) [24][2960/3757] lr: 9.6025e-03 eta: 2 days, 16:08:29 time: 0.3941 data_time: 0.0174 memory: 17007 grad_norm: 4.9393 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1171 loss: 3.1171 2022/07/27 03:16:04 - mmengine - INFO - Epoch(train) [24][2980/3757] lr: 9.6025e-03 eta: 2 days, 16:08:20 time: 0.3902 data_time: 0.0142 memory: 17007 grad_norm: 4.9811 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9673 loss: 2.9673 2022/07/27 03:16:12 - mmengine - INFO - Epoch(train) [24][3000/3757] lr: 9.6025e-03 eta: 2 days, 16:08:14 time: 0.4066 data_time: 0.0164 memory: 17007 grad_norm: 5.0500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0461 loss: 3.0461 2022/07/27 03:16:20 - mmengine - INFO - Epoch(train) [24][3020/3757] lr: 9.6025e-03 eta: 2 days, 16:08:06 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 4.9879 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5564 loss: 2.5564 2022/07/27 03:16:28 - mmengine - INFO - Epoch(train) [24][3040/3757] lr: 9.6025e-03 eta: 2 days, 16:07:58 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 4.9642 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2163 loss: 3.2163 2022/07/27 03:16:36 - mmengine - INFO - Epoch(train) [24][3060/3757] lr: 9.6025e-03 eta: 2 days, 16:07:51 time: 0.4003 data_time: 0.0158 memory: 17007 grad_norm: 4.9334 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1436 loss: 3.1436 2022/07/27 03:16:44 - mmengine - INFO - Epoch(train) [24][3080/3757] lr: 9.6025e-03 eta: 2 days, 16:07:44 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 4.9391 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6444 loss: 2.6444 2022/07/27 03:16:51 - mmengine - INFO - Epoch(train) [24][3100/3757] lr: 9.6025e-03 eta: 2 days, 16:07:36 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 5.0355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1188 loss: 3.1188 2022/07/27 03:16:59 - mmengine - INFO - Epoch(train) [24][3120/3757] lr: 9.6025e-03 eta: 2 days, 16:07:27 time: 0.3923 data_time: 0.0172 memory: 17007 grad_norm: 5.1043 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1027 loss: 3.1027 2022/07/27 03:17:07 - mmengine - INFO - Epoch(train) [24][3140/3757] lr: 9.6025e-03 eta: 2 days, 16:07:20 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 5.0353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7833 loss: 2.7833 2022/07/27 03:17:15 - mmengine - INFO - Epoch(train) [24][3160/3757] lr: 9.6025e-03 eta: 2 days, 16:07:12 time: 0.3936 data_time: 0.0164 memory: 17007 grad_norm: 4.9636 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9854 loss: 2.9854 2022/07/27 03:17:23 - mmengine - INFO - Epoch(train) [24][3180/3757] lr: 9.6025e-03 eta: 2 days, 16:07:04 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 5.0356 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9320 loss: 2.9320 2022/07/27 03:17:31 - mmengine - INFO - Epoch(train) [24][3200/3757] lr: 9.6025e-03 eta: 2 days, 16:06:56 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 5.1544 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9647 loss: 2.9647 2022/07/27 03:17:38 - mmengine - INFO - Epoch(train) [24][3220/3757] lr: 9.6025e-03 eta: 2 days, 16:06:48 time: 0.3922 data_time: 0.0160 memory: 17007 grad_norm: 5.0102 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1777 loss: 3.1777 2022/07/27 03:17:46 - mmengine - INFO - Epoch(train) [24][3240/3757] lr: 9.6025e-03 eta: 2 days, 16:06:40 time: 0.3932 data_time: 0.0171 memory: 17007 grad_norm: 4.9412 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7840 loss: 2.7840 2022/07/27 03:17:54 - mmengine - INFO - Epoch(train) [24][3260/3757] lr: 9.6025e-03 eta: 2 days, 16:06:32 time: 0.3929 data_time: 0.0139 memory: 17007 grad_norm: 5.0947 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9552 loss: 2.9552 2022/07/27 03:18:02 - mmengine - INFO - Epoch(train) [24][3280/3757] lr: 9.6025e-03 eta: 2 days, 16:06:24 time: 0.3930 data_time: 0.0166 memory: 17007 grad_norm: 4.8995 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0446 loss: 3.0446 2022/07/27 03:18:10 - mmengine - INFO - Epoch(train) [24][3300/3757] lr: 9.6025e-03 eta: 2 days, 16:06:16 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 4.9742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7823 loss: 2.7823 2022/07/27 03:18:18 - mmengine - INFO - Epoch(train) [24][3320/3757] lr: 9.6025e-03 eta: 2 days, 16:06:08 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 5.1525 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0287 loss: 3.0287 2022/07/27 03:18:26 - mmengine - INFO - Epoch(train) [24][3340/3757] lr: 9.6025e-03 eta: 2 days, 16:06:00 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 5.0227 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8973 loss: 2.8973 2022/07/27 03:18:34 - mmengine - INFO - Epoch(train) [24][3360/3757] lr: 9.6025e-03 eta: 2 days, 16:05:52 time: 0.3949 data_time: 0.0167 memory: 17007 grad_norm: 5.0725 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7836 loss: 2.7836 2022/07/27 03:18:41 - mmengine - INFO - Epoch(train) [24][3380/3757] lr: 9.6025e-03 eta: 2 days, 16:05:44 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 4.8711 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0390 loss: 3.0390 2022/07/27 03:18:49 - mmengine - INFO - Epoch(train) [24][3400/3757] lr: 9.6025e-03 eta: 2 days, 16:05:36 time: 0.3921 data_time: 0.0162 memory: 17007 grad_norm: 4.9791 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7342 loss: 2.7342 2022/07/27 03:18:57 - mmengine - INFO - Epoch(train) [24][3420/3757] lr: 9.6025e-03 eta: 2 days, 16:05:29 time: 0.3948 data_time: 0.0146 memory: 17007 grad_norm: 5.1616 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1494 loss: 3.1494 2022/07/27 03:19:05 - mmengine - INFO - Epoch(train) [24][3440/3757] lr: 9.6025e-03 eta: 2 days, 16:05:21 time: 0.3924 data_time: 0.0163 memory: 17007 grad_norm: 5.0508 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7270 loss: 2.7270 2022/07/27 03:19:13 - mmengine - INFO - Epoch(train) [24][3460/3757] lr: 9.6025e-03 eta: 2 days, 16:05:13 time: 0.3993 data_time: 0.0150 memory: 17007 grad_norm: 5.0511 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0298 loss: 3.0298 2022/07/27 03:19:21 - mmengine - INFO - Epoch(train) [24][3480/3757] lr: 9.6025e-03 eta: 2 days, 16:05:05 time: 0.3915 data_time: 0.0160 memory: 17007 grad_norm: 5.0041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7265 loss: 2.7265 2022/07/27 03:19:29 - mmengine - INFO - Epoch(train) [24][3500/3757] lr: 9.6025e-03 eta: 2 days, 16:04:57 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 5.0505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9200 loss: 2.9200 2022/07/27 03:19:37 - mmengine - INFO - Epoch(train) [24][3520/3757] lr: 9.6025e-03 eta: 2 days, 16:04:50 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 5.6692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9292 loss: 2.9292 2022/07/27 03:19:44 - mmengine - INFO - Epoch(train) [24][3540/3757] lr: 9.6025e-03 eta: 2 days, 16:04:42 time: 0.3930 data_time: 0.0168 memory: 17007 grad_norm: 5.0546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0977 loss: 3.0977 2022/07/27 03:19:52 - mmengine - INFO - Epoch(train) [24][3560/3757] lr: 9.6025e-03 eta: 2 days, 16:04:34 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 4.9767 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7323 loss: 2.7323 2022/07/27 03:20:00 - mmengine - INFO - Epoch(train) [24][3580/3757] lr: 9.6025e-03 eta: 2 days, 16:04:26 time: 0.3915 data_time: 0.0158 memory: 17007 grad_norm: 4.8625 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8731 loss: 2.8731 2022/07/27 03:20:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:20:08 - mmengine - INFO - Epoch(train) [24][3600/3757] lr: 9.6025e-03 eta: 2 days, 16:04:19 time: 0.4006 data_time: 0.0165 memory: 17007 grad_norm: 5.0689 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2054 loss: 3.2054 2022/07/27 03:20:16 - mmengine - INFO - Epoch(train) [24][3620/3757] lr: 9.6025e-03 eta: 2 days, 16:04:11 time: 0.3941 data_time: 0.0171 memory: 17007 grad_norm: 5.0038 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9637 loss: 2.9637 2022/07/27 03:20:24 - mmengine - INFO - Epoch(train) [24][3640/3757] lr: 9.6025e-03 eta: 2 days, 16:04:04 time: 0.3964 data_time: 0.0165 memory: 17007 grad_norm: 5.1604 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2264 loss: 3.2264 2022/07/27 03:20:32 - mmengine - INFO - Epoch(train) [24][3660/3757] lr: 9.6025e-03 eta: 2 days, 16:03:56 time: 0.3953 data_time: 0.0152 memory: 17007 grad_norm: 4.8967 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5174 loss: 2.5174 2022/07/27 03:20:40 - mmengine - INFO - Epoch(train) [24][3680/3757] lr: 9.6025e-03 eta: 2 days, 16:03:48 time: 0.3924 data_time: 0.0164 memory: 17007 grad_norm: 4.9910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6524 loss: 2.6524 2022/07/27 03:20:48 - mmengine - INFO - Epoch(train) [24][3700/3757] lr: 9.6025e-03 eta: 2 days, 16:03:40 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 5.0732 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0374 loss: 3.0374 2022/07/27 03:20:55 - mmengine - INFO - Epoch(train) [24][3720/3757] lr: 9.6025e-03 eta: 2 days, 16:03:32 time: 0.3944 data_time: 0.0178 memory: 17007 grad_norm: 4.9247 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0182 loss: 3.0182 2022/07/27 03:21:03 - mmengine - INFO - Epoch(train) [24][3740/3757] lr: 9.6025e-03 eta: 2 days, 16:03:24 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 4.9312 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8938 loss: 2.8938 2022/07/27 03:21:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:21:10 - mmengine - INFO - Epoch(train) [24][3757/3757] lr: 9.6025e-03 eta: 2 days, 16:03:24 time: 0.3876 data_time: 0.0157 memory: 17007 grad_norm: 5.1777 top1_acc: 0.0000 top5_acc: 0.4286 loss_cls: 2.9666 loss: 2.9666 2022/07/27 03:21:10 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/07/27 03:21:21 - mmengine - INFO - Epoch(train) [25][20/3757] lr: 9.5677e-03 eta: 2 days, 16:02:33 time: 0.4443 data_time: 0.0666 memory: 17007 grad_norm: 5.0588 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7040 loss: 2.7040 2022/07/27 03:21:29 - mmengine - INFO - Epoch(train) [25][40/3757] lr: 9.5677e-03 eta: 2 days, 16:02:26 time: 0.4016 data_time: 0.0173 memory: 17007 grad_norm: 5.1042 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0209 loss: 3.0209 2022/07/27 03:21:37 - mmengine - INFO - Epoch(train) [25][60/3757] lr: 9.5677e-03 eta: 2 days, 16:02:18 time: 0.3932 data_time: 0.0166 memory: 17007 grad_norm: 4.9367 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9912 loss: 2.9912 2022/07/27 03:21:45 - mmengine - INFO - Epoch(train) [25][80/3757] lr: 9.5677e-03 eta: 2 days, 16:02:11 time: 0.4005 data_time: 0.0171 memory: 17007 grad_norm: 4.9337 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7406 loss: 2.7406 2022/07/27 03:21:53 - mmengine - INFO - Epoch(train) [25][100/3757] lr: 9.5677e-03 eta: 2 days, 16:02:03 time: 0.3907 data_time: 0.0155 memory: 17007 grad_norm: 4.9036 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8824 loss: 2.8824 2022/07/27 03:22:01 - mmengine - INFO - Epoch(train) [25][120/3757] lr: 9.5677e-03 eta: 2 days, 16:01:55 time: 0.3912 data_time: 0.0158 memory: 17007 grad_norm: 5.0563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9990 loss: 2.9990 2022/07/27 03:22:09 - mmengine - INFO - Epoch(train) [25][140/3757] lr: 9.5677e-03 eta: 2 days, 16:01:47 time: 0.3933 data_time: 0.0135 memory: 17007 grad_norm: 5.0420 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6765 loss: 2.6765 2022/07/27 03:22:17 - mmengine - INFO - Epoch(train) [25][160/3757] lr: 9.5677e-03 eta: 2 days, 16:01:39 time: 0.3922 data_time: 0.0167 memory: 17007 grad_norm: 4.9161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7739 loss: 2.7739 2022/07/27 03:22:24 - mmengine - INFO - Epoch(train) [25][180/3757] lr: 9.5677e-03 eta: 2 days, 16:01:31 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.0342 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9285 loss: 2.9285 2022/07/27 03:22:32 - mmengine - INFO - Epoch(train) [25][200/3757] lr: 9.5677e-03 eta: 2 days, 16:01:23 time: 0.3939 data_time: 0.0174 memory: 17007 grad_norm: 5.0272 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8484 loss: 2.8484 2022/07/27 03:22:40 - mmengine - INFO - Epoch(train) [25][220/3757] lr: 9.5677e-03 eta: 2 days, 16:01:15 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 5.0308 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9779 loss: 2.9779 2022/07/27 03:22:48 - mmengine - INFO - Epoch(train) [25][240/3757] lr: 9.5677e-03 eta: 2 days, 16:01:07 time: 0.3925 data_time: 0.0163 memory: 17007 grad_norm: 5.0020 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.7638 loss: 2.7638 2022/07/27 03:22:56 - mmengine - INFO - Epoch(train) [25][260/3757] lr: 9.5677e-03 eta: 2 days, 16:00:59 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 4.9924 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1377 loss: 3.1377 2022/07/27 03:23:04 - mmengine - INFO - Epoch(train) [25][280/3757] lr: 9.5677e-03 eta: 2 days, 16:00:52 time: 0.3947 data_time: 0.0164 memory: 17007 grad_norm: 5.1448 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.1084 loss: 3.1084 2022/07/27 03:23:12 - mmengine - INFO - Epoch(train) [25][300/3757] lr: 9.5677e-03 eta: 2 days, 16:00:43 time: 0.3911 data_time: 0.0150 memory: 17007 grad_norm: 5.0317 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1420 loss: 3.1420 2022/07/27 03:23:19 - mmengine - INFO - Epoch(train) [25][320/3757] lr: 9.5677e-03 eta: 2 days, 16:00:36 time: 0.3941 data_time: 0.0166 memory: 17007 grad_norm: 5.1240 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1321 loss: 3.1321 2022/07/27 03:23:27 - mmengine - INFO - Epoch(train) [25][340/3757] lr: 9.5677e-03 eta: 2 days, 16:00:28 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 4.9023 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9934 loss: 2.9934 2022/07/27 03:23:35 - mmengine - INFO - Epoch(train) [25][360/3757] lr: 9.5677e-03 eta: 2 days, 16:00:20 time: 0.3923 data_time: 0.0166 memory: 17007 grad_norm: 4.9400 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8483 loss: 2.8483 2022/07/27 03:23:43 - mmengine - INFO - Epoch(train) [25][380/3757] lr: 9.5677e-03 eta: 2 days, 16:00:12 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 4.9470 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6046 loss: 2.6046 2022/07/27 03:23:51 - mmengine - INFO - Epoch(train) [25][400/3757] lr: 9.5677e-03 eta: 2 days, 16:00:04 time: 0.3918 data_time: 0.0163 memory: 17007 grad_norm: 4.9720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0219 loss: 3.0219 2022/07/27 03:23:59 - mmengine - INFO - Epoch(train) [25][420/3757] lr: 9.5677e-03 eta: 2 days, 15:59:56 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 5.0681 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9866 loss: 2.9866 2022/07/27 03:24:07 - mmengine - INFO - Epoch(train) [25][440/3757] lr: 9.5677e-03 eta: 2 days, 15:59:48 time: 0.3944 data_time: 0.0169 memory: 17007 grad_norm: 5.0999 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8246 loss: 2.8246 2022/07/27 03:24:14 - mmengine - INFO - Epoch(train) [25][460/3757] lr: 9.5677e-03 eta: 2 days, 15:59:40 time: 0.3917 data_time: 0.0149 memory: 17007 grad_norm: 5.1259 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8868 loss: 2.8868 2022/07/27 03:24:22 - mmengine - INFO - Epoch(train) [25][480/3757] lr: 9.5677e-03 eta: 2 days, 15:59:32 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 4.9943 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8436 loss: 2.8436 2022/07/27 03:24:30 - mmengine - INFO - Epoch(train) [25][500/3757] lr: 9.5677e-03 eta: 2 days, 15:59:24 time: 0.3916 data_time: 0.0136 memory: 17007 grad_norm: 5.1549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0543 loss: 3.0543 2022/07/27 03:24:38 - mmengine - INFO - Epoch(train) [25][520/3757] lr: 9.5677e-03 eta: 2 days, 15:59:16 time: 0.3940 data_time: 0.0170 memory: 17007 grad_norm: 4.8033 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0485 loss: 3.0485 2022/07/27 03:24:46 - mmengine - INFO - Epoch(train) [25][540/3757] lr: 9.5677e-03 eta: 2 days, 15:59:08 time: 0.3934 data_time: 0.0147 memory: 17007 grad_norm: 4.7913 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7598 loss: 2.7598 2022/07/27 03:24:54 - mmengine - INFO - Epoch(train) [25][560/3757] lr: 9.5677e-03 eta: 2 days, 15:59:01 time: 0.3952 data_time: 0.0180 memory: 17007 grad_norm: 5.0130 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9404 loss: 2.9404 2022/07/27 03:25:02 - mmengine - INFO - Epoch(train) [25][580/3757] lr: 9.5677e-03 eta: 2 days, 15:58:52 time: 0.3906 data_time: 0.0146 memory: 17007 grad_norm: 5.0220 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0465 loss: 3.0465 2022/07/27 03:25:10 - mmengine - INFO - Epoch(train) [25][600/3757] lr: 9.5677e-03 eta: 2 days, 15:58:45 time: 0.3962 data_time: 0.0175 memory: 17007 grad_norm: 4.9448 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6582 loss: 2.6582 2022/07/27 03:25:17 - mmengine - INFO - Epoch(train) [25][620/3757] lr: 9.5677e-03 eta: 2 days, 15:58:37 time: 0.3925 data_time: 0.0147 memory: 17007 grad_norm: 4.9430 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9708 loss: 2.9708 2022/07/27 03:25:25 - mmengine - INFO - Epoch(train) [25][640/3757] lr: 9.5677e-03 eta: 2 days, 15:58:29 time: 0.3946 data_time: 0.0159 memory: 17007 grad_norm: 4.8486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4008 loss: 2.4008 2022/07/27 03:25:33 - mmengine - INFO - Epoch(train) [25][660/3757] lr: 9.5677e-03 eta: 2 days, 15:58:21 time: 0.3929 data_time: 0.0148 memory: 17007 grad_norm: 4.9279 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9971 loss: 2.9971 2022/07/27 03:25:41 - mmengine - INFO - Epoch(train) [25][680/3757] lr: 9.5677e-03 eta: 2 days, 15:58:13 time: 0.3935 data_time: 0.0170 memory: 17007 grad_norm: 5.1220 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1552 loss: 3.1552 2022/07/27 03:25:49 - mmengine - INFO - Epoch(train) [25][700/3757] lr: 9.5677e-03 eta: 2 days, 15:58:05 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 4.9586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5454 loss: 2.5454 2022/07/27 03:25:57 - mmengine - INFO - Epoch(train) [25][720/3757] lr: 9.5677e-03 eta: 2 days, 15:57:58 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 5.0757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9310 loss: 2.9310 2022/07/27 03:26:05 - mmengine - INFO - Epoch(train) [25][740/3757] lr: 9.5677e-03 eta: 2 days, 15:57:51 time: 0.4024 data_time: 0.0158 memory: 17007 grad_norm: 5.1319 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8101 loss: 2.8101 2022/07/27 03:26:13 - mmengine - INFO - Epoch(train) [25][760/3757] lr: 9.5677e-03 eta: 2 days, 15:57:43 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 4.9111 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0670 loss: 3.0670 2022/07/27 03:26:20 - mmengine - INFO - Epoch(train) [25][780/3757] lr: 9.5677e-03 eta: 2 days, 15:57:35 time: 0.3915 data_time: 0.0153 memory: 17007 grad_norm: 4.9418 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8131 loss: 2.8131 2022/07/27 03:26:28 - mmengine - INFO - Epoch(train) [25][800/3757] lr: 9.5677e-03 eta: 2 days, 15:57:27 time: 0.3947 data_time: 0.0168 memory: 17007 grad_norm: 5.0955 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6011 loss: 2.6011 2022/07/27 03:26:36 - mmengine - INFO - Epoch(train) [25][820/3757] lr: 9.5677e-03 eta: 2 days, 15:57:19 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.0136 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5988 loss: 2.5988 2022/07/27 03:26:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:26:44 - mmengine - INFO - Epoch(train) [25][840/3757] lr: 9.5677e-03 eta: 2 days, 15:57:12 time: 0.3945 data_time: 0.0167 memory: 17007 grad_norm: 5.1342 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9942 loss: 2.9942 2022/07/27 03:26:52 - mmengine - INFO - Epoch(train) [25][860/3757] lr: 9.5677e-03 eta: 2 days, 15:57:03 time: 0.3909 data_time: 0.0148 memory: 17007 grad_norm: 5.0424 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0013 loss: 3.0013 2022/07/27 03:27:00 - mmengine - INFO - Epoch(train) [25][880/3757] lr: 9.5677e-03 eta: 2 days, 15:56:56 time: 0.3939 data_time: 0.0162 memory: 17007 grad_norm: 5.1515 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7146 loss: 2.7146 2022/07/27 03:27:08 - mmengine - INFO - Epoch(train) [25][900/3757] lr: 9.5677e-03 eta: 2 days, 15:56:48 time: 0.3929 data_time: 0.0141 memory: 17007 grad_norm: 5.1599 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8494 loss: 2.8494 2022/07/27 03:27:16 - mmengine - INFO - Epoch(train) [25][920/3757] lr: 9.5677e-03 eta: 2 days, 15:56:40 time: 0.3961 data_time: 0.0170 memory: 17007 grad_norm: 5.1990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.0919 loss: 3.0919 2022/07/27 03:27:23 - mmengine - INFO - Epoch(train) [25][940/3757] lr: 9.5677e-03 eta: 2 days, 15:56:32 time: 0.3929 data_time: 0.0142 memory: 17007 grad_norm: 5.0161 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9421 loss: 2.9421 2022/07/27 03:27:31 - mmengine - INFO - Epoch(train) [25][960/3757] lr: 9.5677e-03 eta: 2 days, 15:56:24 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.0582 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8088 loss: 2.8088 2022/07/27 03:27:39 - mmengine - INFO - Epoch(train) [25][980/3757] lr: 9.5677e-03 eta: 2 days, 15:56:16 time: 0.3912 data_time: 0.0144 memory: 17007 grad_norm: 4.9078 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3893 loss: 2.3893 2022/07/27 03:27:47 - mmengine - INFO - Epoch(train) [25][1000/3757] lr: 9.5677e-03 eta: 2 days, 15:56:08 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 5.1074 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7764 loss: 2.7764 2022/07/27 03:27:55 - mmengine - INFO - Epoch(train) [25][1020/3757] lr: 9.5677e-03 eta: 2 days, 15:56:01 time: 0.3952 data_time: 0.0150 memory: 17007 grad_norm: 5.0825 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5706 loss: 2.5706 2022/07/27 03:28:03 - mmengine - INFO - Epoch(train) [25][1040/3757] lr: 9.5677e-03 eta: 2 days, 15:55:53 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 5.2543 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0670 loss: 3.0670 2022/07/27 03:28:11 - mmengine - INFO - Epoch(train) [25][1060/3757] lr: 9.5677e-03 eta: 2 days, 15:55:44 time: 0.3913 data_time: 0.0155 memory: 17007 grad_norm: 5.0952 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7295 loss: 2.7295 2022/07/27 03:28:18 - mmengine - INFO - Epoch(train) [25][1080/3757] lr: 9.5677e-03 eta: 2 days, 15:55:37 time: 0.3929 data_time: 0.0163 memory: 17007 grad_norm: 4.9425 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9492 loss: 2.9492 2022/07/27 03:28:26 - mmengine - INFO - Epoch(train) [25][1100/3757] lr: 9.5677e-03 eta: 2 days, 15:55:29 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 4.9473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6843 loss: 2.6843 2022/07/27 03:28:34 - mmengine - INFO - Epoch(train) [25][1120/3757] lr: 9.5677e-03 eta: 2 days, 15:55:21 time: 0.3944 data_time: 0.0169 memory: 17007 grad_norm: 5.1056 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8209 loss: 2.8209 2022/07/27 03:28:42 - mmengine - INFO - Epoch(train) [25][1140/3757] lr: 9.5677e-03 eta: 2 days, 15:55:13 time: 0.3897 data_time: 0.0137 memory: 17007 grad_norm: 4.9619 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0007 loss: 3.0007 2022/07/27 03:28:50 - mmengine - INFO - Epoch(train) [25][1160/3757] lr: 9.5677e-03 eta: 2 days, 15:55:05 time: 0.3933 data_time: 0.0169 memory: 17007 grad_norm: 4.8825 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7368 loss: 2.7368 2022/07/27 03:28:58 - mmengine - INFO - Epoch(train) [25][1180/3757] lr: 9.5677e-03 eta: 2 days, 15:54:57 time: 0.3914 data_time: 0.0145 memory: 17007 grad_norm: 5.0599 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0623 loss: 3.0623 2022/07/27 03:29:06 - mmengine - INFO - Epoch(train) [25][1200/3757] lr: 9.5677e-03 eta: 2 days, 15:54:49 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 4.9486 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9803 loss: 2.9803 2022/07/27 03:29:13 - mmengine - INFO - Epoch(train) [25][1220/3757] lr: 9.5677e-03 eta: 2 days, 15:54:41 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 5.0169 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9186 loss: 2.9186 2022/07/27 03:29:21 - mmengine - INFO - Epoch(train) [25][1240/3757] lr: 9.5677e-03 eta: 2 days, 15:54:33 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 4.8748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5077 loss: 2.5077 2022/07/27 03:29:29 - mmengine - INFO - Epoch(train) [25][1260/3757] lr: 9.5677e-03 eta: 2 days, 15:54:25 time: 0.3903 data_time: 0.0144 memory: 17007 grad_norm: 5.0889 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9404 loss: 2.9404 2022/07/27 03:29:37 - mmengine - INFO - Epoch(train) [25][1280/3757] lr: 9.5677e-03 eta: 2 days, 15:54:17 time: 0.3961 data_time: 0.0167 memory: 17007 grad_norm: 5.1257 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9234 loss: 2.9234 2022/07/27 03:29:45 - mmengine - INFO - Epoch(train) [25][1300/3757] lr: 9.5677e-03 eta: 2 days, 15:54:09 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 4.8901 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5400 loss: 2.5400 2022/07/27 03:29:53 - mmengine - INFO - Epoch(train) [25][1320/3757] lr: 9.5677e-03 eta: 2 days, 15:54:01 time: 0.3947 data_time: 0.0170 memory: 17007 grad_norm: 4.9574 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9480 loss: 2.9480 2022/07/27 03:30:01 - mmengine - INFO - Epoch(train) [25][1340/3757] lr: 9.5677e-03 eta: 2 days, 15:53:53 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 5.0245 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7167 loss: 2.7167 2022/07/27 03:30:09 - mmengine - INFO - Epoch(train) [25][1360/3757] lr: 9.5677e-03 eta: 2 days, 15:53:46 time: 0.3957 data_time: 0.0173 memory: 17007 grad_norm: 5.1037 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2228 loss: 3.2228 2022/07/27 03:30:16 - mmengine - INFO - Epoch(train) [25][1380/3757] lr: 9.5677e-03 eta: 2 days, 15:53:38 time: 0.3917 data_time: 0.0143 memory: 17007 grad_norm: 5.0195 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7993 loss: 2.7993 2022/07/27 03:30:24 - mmengine - INFO - Epoch(train) [25][1400/3757] lr: 9.5677e-03 eta: 2 days, 15:53:30 time: 0.3938 data_time: 0.0166 memory: 17007 grad_norm: 5.1554 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8791 loss: 2.8791 2022/07/27 03:30:32 - mmengine - INFO - Epoch(train) [25][1420/3757] lr: 9.5677e-03 eta: 2 days, 15:53:22 time: 0.3917 data_time: 0.0144 memory: 17007 grad_norm: 4.9320 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5593 loss: 2.5593 2022/07/27 03:30:40 - mmengine - INFO - Epoch(train) [25][1440/3757] lr: 9.5677e-03 eta: 2 days, 15:53:14 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 4.9333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6735 loss: 2.6735 2022/07/27 03:30:48 - mmengine - INFO - Epoch(train) [25][1460/3757] lr: 9.5677e-03 eta: 2 days, 15:53:06 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 4.9931 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7474 loss: 2.7474 2022/07/27 03:30:56 - mmengine - INFO - Epoch(train) [25][1480/3757] lr: 9.5677e-03 eta: 2 days, 15:52:58 time: 0.3947 data_time: 0.0164 memory: 17007 grad_norm: 5.1796 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2530 loss: 3.2530 2022/07/27 03:31:04 - mmengine - INFO - Epoch(train) [25][1500/3757] lr: 9.5677e-03 eta: 2 days, 15:52:50 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 5.1007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7055 loss: 2.7055 2022/07/27 03:31:11 - mmengine - INFO - Epoch(train) [25][1520/3757] lr: 9.5677e-03 eta: 2 days, 15:52:42 time: 0.3913 data_time: 0.0154 memory: 17007 grad_norm: 5.0590 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8014 loss: 2.8014 2022/07/27 03:31:19 - mmengine - INFO - Epoch(train) [25][1540/3757] lr: 9.5677e-03 eta: 2 days, 15:52:34 time: 0.3947 data_time: 0.0131 memory: 17007 grad_norm: 4.9378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7922 loss: 2.7922 2022/07/27 03:31:27 - mmengine - INFO - Epoch(train) [25][1560/3757] lr: 9.5677e-03 eta: 2 days, 15:52:26 time: 0.3932 data_time: 0.0169 memory: 17007 grad_norm: 5.2388 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8969 loss: 2.8969 2022/07/27 03:31:35 - mmengine - INFO - Epoch(train) [25][1580/3757] lr: 9.5677e-03 eta: 2 days, 15:52:18 time: 0.3924 data_time: 0.0145 memory: 17007 grad_norm: 5.1286 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8517 loss: 2.8517 2022/07/27 03:31:43 - mmengine - INFO - Epoch(train) [25][1600/3757] lr: 9.5677e-03 eta: 2 days, 15:52:11 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 5.1896 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5294 loss: 2.5294 2022/07/27 03:31:51 - mmengine - INFO - Epoch(train) [25][1620/3757] lr: 9.5677e-03 eta: 2 days, 15:52:03 time: 0.3931 data_time: 0.0139 memory: 17007 grad_norm: 5.3228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6811 loss: 2.6811 2022/07/27 03:31:59 - mmengine - INFO - Epoch(train) [25][1640/3757] lr: 9.5677e-03 eta: 2 days, 15:51:56 time: 0.4006 data_time: 0.0172 memory: 17007 grad_norm: 5.1546 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7130 loss: 2.7130 2022/07/27 03:32:07 - mmengine - INFO - Epoch(train) [25][1660/3757] lr: 9.5677e-03 eta: 2 days, 15:51:48 time: 0.3913 data_time: 0.0155 memory: 17007 grad_norm: 4.9968 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6190 loss: 2.6190 2022/07/27 03:32:14 - mmengine - INFO - Epoch(train) [25][1680/3757] lr: 9.5677e-03 eta: 2 days, 15:51:40 time: 0.3938 data_time: 0.0173 memory: 17007 grad_norm: 5.2206 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9180 loss: 2.9180 2022/07/27 03:32:22 - mmengine - INFO - Epoch(train) [25][1700/3757] lr: 9.5677e-03 eta: 2 days, 15:51:32 time: 0.3910 data_time: 0.0153 memory: 17007 grad_norm: 5.1252 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0106 loss: 3.0106 2022/07/27 03:32:30 - mmengine - INFO - Epoch(train) [25][1720/3757] lr: 9.5677e-03 eta: 2 days, 15:51:24 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 5.2083 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8949 loss: 2.8949 2022/07/27 03:32:38 - mmengine - INFO - Epoch(train) [25][1740/3757] lr: 9.5677e-03 eta: 2 days, 15:51:15 time: 0.3900 data_time: 0.0156 memory: 17007 grad_norm: 5.1843 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2270 loss: 3.2270 2022/07/27 03:32:46 - mmengine - INFO - Epoch(train) [25][1760/3757] lr: 9.5677e-03 eta: 2 days, 15:51:08 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 4.8902 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7003 loss: 2.7003 2022/07/27 03:32:54 - mmengine - INFO - Epoch(train) [25][1780/3757] lr: 9.5677e-03 eta: 2 days, 15:51:00 time: 0.3960 data_time: 0.0156 memory: 17007 grad_norm: 5.0370 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4314 loss: 3.4314 2022/07/27 03:33:02 - mmengine - INFO - Epoch(train) [25][1800/3757] lr: 9.5677e-03 eta: 2 days, 15:50:52 time: 0.3925 data_time: 0.0164 memory: 17007 grad_norm: 5.1827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1146 loss: 3.1146 2022/07/27 03:33:09 - mmengine - INFO - Epoch(train) [25][1820/3757] lr: 9.5677e-03 eta: 2 days, 15:50:44 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 5.0489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6632 loss: 2.6632 2022/07/27 03:33:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:33:18 - mmengine - INFO - Epoch(train) [25][1840/3757] lr: 9.5677e-03 eta: 2 days, 15:50:38 time: 0.4096 data_time: 0.0174 memory: 17007 grad_norm: 5.2611 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0067 loss: 3.0067 2022/07/27 03:33:26 - mmengine - INFO - Epoch(train) [25][1860/3757] lr: 9.5677e-03 eta: 2 days, 15:50:30 time: 0.3929 data_time: 0.0143 memory: 17007 grad_norm: 5.0367 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0579 loss: 3.0579 2022/07/27 03:33:33 - mmengine - INFO - Epoch(train) [25][1880/3757] lr: 9.5677e-03 eta: 2 days, 15:50:23 time: 0.3946 data_time: 0.0175 memory: 17007 grad_norm: 5.0997 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8020 loss: 2.8020 2022/07/27 03:33:41 - mmengine - INFO - Epoch(train) [25][1900/3757] lr: 9.5677e-03 eta: 2 days, 15:50:14 time: 0.3903 data_time: 0.0140 memory: 17007 grad_norm: 5.1281 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9854 loss: 2.9854 2022/07/27 03:33:49 - mmengine - INFO - Epoch(train) [25][1920/3757] lr: 9.5677e-03 eta: 2 days, 15:50:06 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 5.0128 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0317 loss: 3.0317 2022/07/27 03:33:57 - mmengine - INFO - Epoch(train) [25][1940/3757] lr: 9.5677e-03 eta: 2 days, 15:49:59 time: 0.3968 data_time: 0.0141 memory: 17007 grad_norm: 5.0797 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7659 loss: 2.7659 2022/07/27 03:34:05 - mmengine - INFO - Epoch(train) [25][1960/3757] lr: 9.5677e-03 eta: 2 days, 15:49:51 time: 0.3929 data_time: 0.0164 memory: 17007 grad_norm: 5.1540 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8222 loss: 2.8222 2022/07/27 03:34:13 - mmengine - INFO - Epoch(train) [25][1980/3757] lr: 9.5677e-03 eta: 2 days, 15:49:43 time: 0.3908 data_time: 0.0148 memory: 17007 grad_norm: 5.1642 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9263 loss: 2.9263 2022/07/27 03:34:21 - mmengine - INFO - Epoch(train) [25][2000/3757] lr: 9.5677e-03 eta: 2 days, 15:49:36 time: 0.4002 data_time: 0.0151 memory: 17007 grad_norm: 5.1603 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7554 loss: 2.7554 2022/07/27 03:34:29 - mmengine - INFO - Epoch(train) [25][2020/3757] lr: 9.5677e-03 eta: 2 days, 15:49:28 time: 0.3911 data_time: 0.0161 memory: 17007 grad_norm: 4.8860 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.0195 loss: 3.0195 2022/07/27 03:34:36 - mmengine - INFO - Epoch(train) [25][2040/3757] lr: 9.5677e-03 eta: 2 days, 15:49:20 time: 0.3940 data_time: 0.0164 memory: 17007 grad_norm: 4.8985 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5697 loss: 2.5697 2022/07/27 03:34:44 - mmengine - INFO - Epoch(train) [25][2060/3757] lr: 9.5677e-03 eta: 2 days, 15:49:12 time: 0.3919 data_time: 0.0147 memory: 17007 grad_norm: 4.9111 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1328 loss: 3.1328 2022/07/27 03:34:52 - mmengine - INFO - Epoch(train) [25][2080/3757] lr: 9.5677e-03 eta: 2 days, 15:49:04 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 5.1711 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7329 loss: 2.7329 2022/07/27 03:35:00 - mmengine - INFO - Epoch(train) [25][2100/3757] lr: 9.5677e-03 eta: 2 days, 15:48:56 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 5.0524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7366 loss: 2.7366 2022/07/27 03:35:08 - mmengine - INFO - Epoch(train) [25][2120/3757] lr: 9.5677e-03 eta: 2 days, 15:48:48 time: 0.3936 data_time: 0.0176 memory: 17007 grad_norm: 5.0878 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7696 loss: 2.7696 2022/07/27 03:35:16 - mmengine - INFO - Epoch(train) [25][2140/3757] lr: 9.5677e-03 eta: 2 days, 15:48:40 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 5.1021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7403 loss: 2.7403 2022/07/27 03:35:24 - mmengine - INFO - Epoch(train) [25][2160/3757] lr: 9.5677e-03 eta: 2 days, 15:48:32 time: 0.3934 data_time: 0.0172 memory: 17007 grad_norm: 5.0231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8809 loss: 2.8809 2022/07/27 03:35:31 - mmengine - INFO - Epoch(train) [25][2180/3757] lr: 9.5677e-03 eta: 2 days, 15:48:24 time: 0.3910 data_time: 0.0134 memory: 17007 grad_norm: 5.1873 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0411 loss: 3.0411 2022/07/27 03:35:39 - mmengine - INFO - Epoch(train) [25][2200/3757] lr: 9.5677e-03 eta: 2 days, 15:48:16 time: 0.3936 data_time: 0.0157 memory: 17007 grad_norm: 5.1155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8268 loss: 2.8268 2022/07/27 03:35:47 - mmengine - INFO - Epoch(train) [25][2220/3757] lr: 9.5677e-03 eta: 2 days, 15:48:08 time: 0.3917 data_time: 0.0141 memory: 17007 grad_norm: 5.1062 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7558 loss: 2.7558 2022/07/27 03:35:55 - mmengine - INFO - Epoch(train) [25][2240/3757] lr: 9.5677e-03 eta: 2 days, 15:48:00 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.1531 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1337 loss: 3.1337 2022/07/27 03:36:03 - mmengine - INFO - Epoch(train) [25][2260/3757] lr: 9.5677e-03 eta: 2 days, 15:47:52 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 5.0027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7280 loss: 2.7280 2022/07/27 03:36:11 - mmengine - INFO - Epoch(train) [25][2280/3757] lr: 9.5677e-03 eta: 2 days, 15:47:44 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 4.9275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8916 loss: 2.8916 2022/07/27 03:36:18 - mmengine - INFO - Epoch(train) [25][2300/3757] lr: 9.5677e-03 eta: 2 days, 15:47:36 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 5.1216 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2199 loss: 3.2199 2022/07/27 03:36:26 - mmengine - INFO - Epoch(train) [25][2320/3757] lr: 9.5677e-03 eta: 2 days, 15:47:28 time: 0.3939 data_time: 0.0162 memory: 17007 grad_norm: 5.1421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0162 loss: 3.0162 2022/07/27 03:36:34 - mmengine - INFO - Epoch(train) [25][2340/3757] lr: 9.5677e-03 eta: 2 days, 15:47:20 time: 0.3921 data_time: 0.0149 memory: 17007 grad_norm: 4.9746 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0164 loss: 3.0164 2022/07/27 03:36:42 - mmengine - INFO - Epoch(train) [25][2360/3757] lr: 9.5677e-03 eta: 2 days, 15:47:12 time: 0.3918 data_time: 0.0159 memory: 17007 grad_norm: 5.0767 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8950 loss: 2.8950 2022/07/27 03:36:50 - mmengine - INFO - Epoch(train) [25][2380/3757] lr: 9.5677e-03 eta: 2 days, 15:47:04 time: 0.3918 data_time: 0.0143 memory: 17007 grad_norm: 5.0356 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7787 loss: 2.7787 2022/07/27 03:36:58 - mmengine - INFO - Epoch(train) [25][2400/3757] lr: 9.5677e-03 eta: 2 days, 15:46:56 time: 0.3944 data_time: 0.0173 memory: 17007 grad_norm: 5.1480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7389 loss: 2.7389 2022/07/27 03:37:06 - mmengine - INFO - Epoch(train) [25][2420/3757] lr: 9.5677e-03 eta: 2 days, 15:46:48 time: 0.3911 data_time: 0.0155 memory: 17007 grad_norm: 4.9611 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9827 loss: 2.9827 2022/07/27 03:37:13 - mmengine - INFO - Epoch(train) [25][2440/3757] lr: 9.5677e-03 eta: 2 days, 15:46:40 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 4.9570 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9927 loss: 2.9927 2022/07/27 03:37:21 - mmengine - INFO - Epoch(train) [25][2460/3757] lr: 9.5677e-03 eta: 2 days, 15:46:32 time: 0.3912 data_time: 0.0134 memory: 17007 grad_norm: 5.1483 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2031 loss: 3.2031 2022/07/27 03:37:29 - mmengine - INFO - Epoch(train) [25][2480/3757] lr: 9.5677e-03 eta: 2 days, 15:46:24 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 5.0254 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8838 loss: 2.8838 2022/07/27 03:37:37 - mmengine - INFO - Epoch(train) [25][2500/3757] lr: 9.5677e-03 eta: 2 days, 15:46:16 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 5.0633 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8679 loss: 2.8679 2022/07/27 03:37:45 - mmengine - INFO - Epoch(train) [25][2520/3757] lr: 9.5677e-03 eta: 2 days, 15:46:08 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.0920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7124 loss: 2.7124 2022/07/27 03:37:53 - mmengine - INFO - Epoch(train) [25][2540/3757] lr: 9.5677e-03 eta: 2 days, 15:46:00 time: 0.3916 data_time: 0.0147 memory: 17007 grad_norm: 5.0345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0126 loss: 3.0126 2022/07/27 03:38:01 - mmengine - INFO - Epoch(train) [25][2560/3757] lr: 9.5677e-03 eta: 2 days, 15:45:53 time: 0.4016 data_time: 0.0165 memory: 17007 grad_norm: 5.1133 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0975 loss: 3.0975 2022/07/27 03:38:09 - mmengine - INFO - Epoch(train) [25][2580/3757] lr: 9.5677e-03 eta: 2 days, 15:45:46 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 4.9920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0507 loss: 3.0507 2022/07/27 03:38:17 - mmengine - INFO - Epoch(train) [25][2600/3757] lr: 9.5677e-03 eta: 2 days, 15:45:38 time: 0.3974 data_time: 0.0173 memory: 17007 grad_norm: 5.1039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6905 loss: 2.6905 2022/07/27 03:38:24 - mmengine - INFO - Epoch(train) [25][2620/3757] lr: 9.5677e-03 eta: 2 days, 15:45:30 time: 0.3940 data_time: 0.0165 memory: 17007 grad_norm: 5.2401 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7992 loss: 2.7992 2022/07/27 03:38:32 - mmengine - INFO - Epoch(train) [25][2640/3757] lr: 9.5677e-03 eta: 2 days, 15:45:22 time: 0.3925 data_time: 0.0165 memory: 17007 grad_norm: 4.9469 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0902 loss: 3.0902 2022/07/27 03:38:40 - mmengine - INFO - Epoch(train) [25][2660/3757] lr: 9.5677e-03 eta: 2 days, 15:45:14 time: 0.3912 data_time: 0.0148 memory: 17007 grad_norm: 5.2583 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0441 loss: 3.0441 2022/07/27 03:38:48 - mmengine - INFO - Epoch(train) [25][2680/3757] lr: 9.5677e-03 eta: 2 days, 15:45:06 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 5.1234 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6177 loss: 2.6177 2022/07/27 03:38:56 - mmengine - INFO - Epoch(train) [25][2700/3757] lr: 9.5677e-03 eta: 2 days, 15:44:58 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 5.0552 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7596 loss: 2.7596 2022/07/27 03:39:04 - mmengine - INFO - Epoch(train) [25][2720/3757] lr: 9.5677e-03 eta: 2 days, 15:44:50 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 5.0208 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6936 loss: 2.6936 2022/07/27 03:39:11 - mmengine - INFO - Epoch(train) [25][2740/3757] lr: 9.5677e-03 eta: 2 days, 15:44:42 time: 0.3908 data_time: 0.0138 memory: 17007 grad_norm: 5.1430 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0321 loss: 3.0321 2022/07/27 03:39:19 - mmengine - INFO - Epoch(train) [25][2760/3757] lr: 9.5677e-03 eta: 2 days, 15:44:35 time: 0.3988 data_time: 0.0166 memory: 17007 grad_norm: 5.1812 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1301 loss: 3.1301 2022/07/27 03:39:27 - mmengine - INFO - Epoch(train) [25][2780/3757] lr: 9.5677e-03 eta: 2 days, 15:44:27 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 5.1370 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0292 loss: 3.0292 2022/07/27 03:39:35 - mmengine - INFO - Epoch(train) [25][2800/3757] lr: 9.5677e-03 eta: 2 days, 15:44:19 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 5.0236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6066 loss: 2.6066 2022/07/27 03:39:43 - mmengine - INFO - Epoch(train) [25][2820/3757] lr: 9.5677e-03 eta: 2 days, 15:44:11 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 5.2011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1477 loss: 3.1477 2022/07/27 03:39:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:39:51 - mmengine - INFO - Epoch(train) [25][2840/3757] lr: 9.5677e-03 eta: 2 days, 15:44:03 time: 0.3934 data_time: 0.0171 memory: 17007 grad_norm: 5.1117 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8816 loss: 2.8816 2022/07/27 03:39:59 - mmengine - INFO - Epoch(train) [25][2860/3757] lr: 9.5677e-03 eta: 2 days, 15:43:55 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 5.1528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0996 loss: 3.0996 2022/07/27 03:40:07 - mmengine - INFO - Epoch(train) [25][2880/3757] lr: 9.5677e-03 eta: 2 days, 15:43:48 time: 0.3994 data_time: 0.0201 memory: 17007 grad_norm: 5.1499 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1593 loss: 3.1593 2022/07/27 03:40:15 - mmengine - INFO - Epoch(train) [25][2900/3757] lr: 9.5677e-03 eta: 2 days, 15:43:40 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 5.0734 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9259 loss: 2.9259 2022/07/27 03:40:22 - mmengine - INFO - Epoch(train) [25][2920/3757] lr: 9.5677e-03 eta: 2 days, 15:43:32 time: 0.3906 data_time: 0.0152 memory: 17007 grad_norm: 5.0051 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9472 loss: 2.9472 2022/07/27 03:40:30 - mmengine - INFO - Epoch(train) [25][2940/3757] lr: 9.5677e-03 eta: 2 days, 15:43:24 time: 0.3917 data_time: 0.0147 memory: 17007 grad_norm: 5.0768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6287 loss: 2.6287 2022/07/27 03:40:38 - mmengine - INFO - Epoch(train) [25][2960/3757] lr: 9.5677e-03 eta: 2 days, 15:43:16 time: 0.3986 data_time: 0.0173 memory: 17007 grad_norm: 5.1335 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8153 loss: 2.8153 2022/07/27 03:40:46 - mmengine - INFO - Epoch(train) [25][2980/3757] lr: 9.5677e-03 eta: 2 days, 15:43:09 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 5.1248 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7910 loss: 2.7910 2022/07/27 03:40:54 - mmengine - INFO - Epoch(train) [25][3000/3757] lr: 9.5677e-03 eta: 2 days, 15:43:01 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 5.0478 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8252 loss: 2.8252 2022/07/27 03:41:02 - mmengine - INFO - Epoch(train) [25][3020/3757] lr: 9.5677e-03 eta: 2 days, 15:42:53 time: 0.3905 data_time: 0.0143 memory: 17007 grad_norm: 5.0163 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7431 loss: 2.7431 2022/07/27 03:41:10 - mmengine - INFO - Epoch(train) [25][3040/3757] lr: 9.5677e-03 eta: 2 days, 15:42:45 time: 0.3974 data_time: 0.0170 memory: 17007 grad_norm: 4.9099 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9825 loss: 2.9825 2022/07/27 03:41:18 - mmengine - INFO - Epoch(train) [25][3060/3757] lr: 9.5677e-03 eta: 2 days, 15:42:39 time: 0.4055 data_time: 0.0153 memory: 17007 grad_norm: 5.1680 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8490 loss: 2.8490 2022/07/27 03:41:26 - mmengine - INFO - Epoch(train) [25][3080/3757] lr: 9.5677e-03 eta: 2 days, 15:42:31 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 4.9541 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8840 loss: 2.8840 2022/07/27 03:41:34 - mmengine - INFO - Epoch(train) [25][3100/3757] lr: 9.5677e-03 eta: 2 days, 15:42:23 time: 0.3897 data_time: 0.0139 memory: 17007 grad_norm: 5.0786 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8745 loss: 2.8745 2022/07/27 03:41:43 - mmengine - INFO - Epoch(train) [25][3120/3757] lr: 9.5677e-03 eta: 2 days, 15:42:28 time: 0.4967 data_time: 0.0163 memory: 17007 grad_norm: 5.0959 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7732 loss: 2.7732 2022/07/27 03:41:53 - mmengine - INFO - Epoch(train) [25][3140/3757] lr: 9.5677e-03 eta: 2 days, 15:42:28 time: 0.4565 data_time: 0.0143 memory: 17007 grad_norm: 4.9568 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8631 loss: 2.8631 2022/07/27 03:42:03 - mmengine - INFO - Epoch(train) [25][3160/3757] lr: 9.5677e-03 eta: 2 days, 15:42:33 time: 0.4993 data_time: 0.0161 memory: 17007 grad_norm: 5.1450 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9470 loss: 2.9470 2022/07/27 03:42:13 - mmengine - INFO - Epoch(train) [25][3180/3757] lr: 9.5677e-03 eta: 2 days, 15:42:41 time: 0.5223 data_time: 0.0147 memory: 17007 grad_norm: 5.0260 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9084 loss: 2.9084 2022/07/27 03:42:26 - mmengine - INFO - Epoch(train) [25][3200/3757] lr: 9.5677e-03 eta: 2 days, 15:43:07 time: 0.6581 data_time: 0.0194 memory: 17007 grad_norm: 5.0363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8582 loss: 2.8582 2022/07/27 03:42:41 - mmengine - INFO - Epoch(train) [25][3220/3757] lr: 9.5677e-03 eta: 2 days, 15:43:43 time: 0.7463 data_time: 0.0162 memory: 17007 grad_norm: 4.9578 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8215 loss: 2.8215 2022/07/27 03:42:51 - mmengine - INFO - Epoch(train) [25][3240/3757] lr: 9.5677e-03 eta: 2 days, 15:43:47 time: 0.4896 data_time: 0.0163 memory: 17007 grad_norm: 5.0357 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6890 loss: 2.6890 2022/07/27 03:43:07 - mmengine - INFO - Epoch(train) [25][3260/3757] lr: 9.5677e-03 eta: 2 days, 15:44:28 time: 0.7874 data_time: 0.0155 memory: 17007 grad_norm: 4.9077 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7133 loss: 2.7133 2022/07/27 03:43:17 - mmengine - INFO - Epoch(train) [25][3280/3757] lr: 9.5677e-03 eta: 2 days, 15:44:33 time: 0.4940 data_time: 0.0206 memory: 17007 grad_norm: 5.0754 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6559 loss: 2.6559 2022/07/27 03:43:25 - mmengine - INFO - Epoch(train) [25][3300/3757] lr: 9.5677e-03 eta: 2 days, 15:44:26 time: 0.4023 data_time: 0.0116 memory: 17007 grad_norm: 5.1963 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7358 loss: 2.7358 2022/07/27 03:43:32 - mmengine - INFO - Epoch(train) [25][3320/3757] lr: 9.5677e-03 eta: 2 days, 15:44:18 time: 0.3912 data_time: 0.0162 memory: 17007 grad_norm: 5.0651 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9632 loss: 2.9632 2022/07/27 03:43:40 - mmengine - INFO - Epoch(train) [25][3340/3757] lr: 9.5677e-03 eta: 2 days, 15:44:10 time: 0.3942 data_time: 0.0131 memory: 17007 grad_norm: 5.2300 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.1015 loss: 3.1015 2022/07/27 03:43:48 - mmengine - INFO - Epoch(train) [25][3360/3757] lr: 9.5677e-03 eta: 2 days, 15:44:03 time: 0.4026 data_time: 0.0169 memory: 17007 grad_norm: 5.2261 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0726 loss: 3.0726 2022/07/27 03:43:56 - mmengine - INFO - Epoch(train) [25][3380/3757] lr: 9.5677e-03 eta: 2 days, 15:43:55 time: 0.3940 data_time: 0.0146 memory: 17007 grad_norm: 5.0564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8238 loss: 2.8238 2022/07/27 03:44:04 - mmengine - INFO - Epoch(train) [25][3400/3757] lr: 9.5677e-03 eta: 2 days, 15:43:48 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 4.9996 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8298 loss: 2.8298 2022/07/27 03:44:12 - mmengine - INFO - Epoch(train) [25][3420/3757] lr: 9.5677e-03 eta: 2 days, 15:43:39 time: 0.3915 data_time: 0.0128 memory: 17007 grad_norm: 5.0621 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1474 loss: 3.1474 2022/07/27 03:44:20 - mmengine - INFO - Epoch(train) [25][3440/3757] lr: 9.5677e-03 eta: 2 days, 15:43:33 time: 0.4020 data_time: 0.0159 memory: 17007 grad_norm: 5.1182 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1116 loss: 3.1116 2022/07/27 03:44:28 - mmengine - INFO - Epoch(train) [25][3460/3757] lr: 9.5677e-03 eta: 2 days, 15:43:24 time: 0.3910 data_time: 0.0132 memory: 17007 grad_norm: 5.0647 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0749 loss: 3.0749 2022/07/27 03:44:36 - mmengine - INFO - Epoch(train) [25][3480/3757] lr: 9.5677e-03 eta: 2 days, 15:43:19 time: 0.4161 data_time: 0.0171 memory: 17007 grad_norm: 5.0114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1580 loss: 3.1580 2022/07/27 03:44:44 - mmengine - INFO - Epoch(train) [25][3500/3757] lr: 9.5677e-03 eta: 2 days, 15:43:11 time: 0.3916 data_time: 0.0131 memory: 17007 grad_norm: 4.9808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9070 loss: 2.9070 2022/07/27 03:44:52 - mmengine - INFO - Epoch(train) [25][3520/3757] lr: 9.5677e-03 eta: 2 days, 15:43:03 time: 0.3936 data_time: 0.0170 memory: 17007 grad_norm: 5.1537 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8743 loss: 2.8743 2022/07/27 03:45:00 - mmengine - INFO - Epoch(train) [25][3540/3757] lr: 9.5677e-03 eta: 2 days, 15:42:55 time: 0.3895 data_time: 0.0130 memory: 17007 grad_norm: 4.8755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6980 loss: 2.6980 2022/07/27 03:45:08 - mmengine - INFO - Epoch(train) [25][3560/3757] lr: 9.5677e-03 eta: 2 days, 15:42:47 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 5.0425 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6877 loss: 2.6877 2022/07/27 03:45:15 - mmengine - INFO - Epoch(train) [25][3580/3757] lr: 9.5677e-03 eta: 2 days, 15:42:39 time: 0.3939 data_time: 0.0143 memory: 17007 grad_norm: 5.0970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8485 loss: 2.8485 2022/07/27 03:45:23 - mmengine - INFO - Epoch(train) [25][3600/3757] lr: 9.5677e-03 eta: 2 days, 15:42:31 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 5.1319 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9050 loss: 2.9050 2022/07/27 03:45:31 - mmengine - INFO - Epoch(train) [25][3620/3757] lr: 9.5677e-03 eta: 2 days, 15:42:23 time: 0.3916 data_time: 0.0143 memory: 17007 grad_norm: 5.1440 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6326 loss: 2.6326 2022/07/27 03:45:39 - mmengine - INFO - Epoch(train) [25][3640/3757] lr: 9.5677e-03 eta: 2 days, 15:42:15 time: 0.3936 data_time: 0.0169 memory: 17007 grad_norm: 5.1239 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9513 loss: 2.9513 2022/07/27 03:45:47 - mmengine - INFO - Epoch(train) [25][3660/3757] lr: 9.5677e-03 eta: 2 days, 15:42:07 time: 0.3917 data_time: 0.0121 memory: 17007 grad_norm: 4.9485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1122 loss: 3.1122 2022/07/27 03:45:55 - mmengine - INFO - Epoch(train) [25][3680/3757] lr: 9.5677e-03 eta: 2 days, 15:41:59 time: 0.3978 data_time: 0.0177 memory: 17007 grad_norm: 4.9280 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4928 loss: 2.4928 2022/07/27 03:46:03 - mmengine - INFO - Epoch(train) [25][3700/3757] lr: 9.5677e-03 eta: 2 days, 15:41:51 time: 0.3902 data_time: 0.0137 memory: 17007 grad_norm: 5.0146 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8098 loss: 2.8098 2022/07/27 03:46:10 - mmengine - INFO - Epoch(train) [25][3720/3757] lr: 9.5677e-03 eta: 2 days, 15:41:43 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 4.9565 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9842 loss: 2.9842 2022/07/27 03:46:18 - mmengine - INFO - Epoch(train) [25][3740/3757] lr: 9.5677e-03 eta: 2 days, 15:41:35 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 5.1605 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9004 loss: 2.9004 2022/07/27 03:46:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:46:25 - mmengine - INFO - Epoch(train) [25][3757/3757] lr: 9.5677e-03 eta: 2 days, 15:41:35 time: 0.4000 data_time: 0.0164 memory: 17007 grad_norm: 4.9359 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.7520 loss: 2.7520 2022/07/27 03:46:25 - mmengine - INFO - Saving checkpoint at 25 epochs 2022/07/27 03:46:36 - mmengine - INFO - Epoch(train) [26][20/3757] lr: 9.5315e-03 eta: 2 days, 15:40:49 time: 0.4738 data_time: 0.0992 memory: 17007 grad_norm: 5.1505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7873 loss: 2.7873 2022/07/27 03:46:45 - mmengine - INFO - Epoch(train) [26][40/3757] lr: 9.5315e-03 eta: 2 days, 15:40:42 time: 0.4027 data_time: 0.0156 memory: 17007 grad_norm: 5.0404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8948 loss: 2.8948 2022/07/27 03:46:52 - mmengine - INFO - Epoch(train) [26][60/3757] lr: 9.5315e-03 eta: 2 days, 15:40:34 time: 0.3910 data_time: 0.0138 memory: 17007 grad_norm: 5.0309 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7154 loss: 2.7154 2022/07/27 03:46:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:47:00 - mmengine - INFO - Epoch(train) [26][80/3757] lr: 9.5315e-03 eta: 2 days, 15:40:26 time: 0.3922 data_time: 0.0164 memory: 17007 grad_norm: 5.2665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6909 loss: 2.6909 2022/07/27 03:47:08 - mmengine - INFO - Epoch(train) [26][100/3757] lr: 9.5315e-03 eta: 2 days, 15:40:18 time: 0.3938 data_time: 0.0134 memory: 17007 grad_norm: 5.1217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0835 loss: 3.0835 2022/07/27 03:47:16 - mmengine - INFO - Epoch(train) [26][120/3757] lr: 9.5315e-03 eta: 2 days, 15:40:10 time: 0.3914 data_time: 0.0161 memory: 17007 grad_norm: 5.0818 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8353 loss: 2.8353 2022/07/27 03:47:24 - mmengine - INFO - Epoch(train) [26][140/3757] lr: 9.5315e-03 eta: 2 days, 15:40:01 time: 0.3897 data_time: 0.0149 memory: 17007 grad_norm: 5.0439 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7954 loss: 2.7954 2022/07/27 03:47:32 - mmengine - INFO - Epoch(train) [26][160/3757] lr: 9.5315e-03 eta: 2 days, 15:39:54 time: 0.3989 data_time: 0.0183 memory: 17007 grad_norm: 5.2141 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9199 loss: 2.9199 2022/07/27 03:47:40 - mmengine - INFO - Epoch(train) [26][180/3757] lr: 9.5315e-03 eta: 2 days, 15:39:46 time: 0.3923 data_time: 0.0131 memory: 17007 grad_norm: 5.1141 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9837 loss: 2.9837 2022/07/27 03:47:47 - mmengine - INFO - Epoch(train) [26][200/3757] lr: 9.5315e-03 eta: 2 days, 15:39:38 time: 0.3939 data_time: 0.0163 memory: 17007 grad_norm: 4.9995 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.0892 loss: 3.0892 2022/07/27 03:47:55 - mmengine - INFO - Epoch(train) [26][220/3757] lr: 9.5315e-03 eta: 2 days, 15:39:30 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 5.0332 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8575 loss: 2.8575 2022/07/27 03:48:03 - mmengine - INFO - Epoch(train) [26][240/3757] lr: 9.5315e-03 eta: 2 days, 15:39:22 time: 0.3914 data_time: 0.0157 memory: 17007 grad_norm: 5.1023 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7731 loss: 2.7731 2022/07/27 03:48:11 - mmengine - INFO - Epoch(train) [26][260/3757] lr: 9.5315e-03 eta: 2 days, 15:39:14 time: 0.3945 data_time: 0.0167 memory: 17007 grad_norm: 5.1662 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8460 loss: 2.8460 2022/07/27 03:48:19 - mmengine - INFO - Epoch(train) [26][280/3757] lr: 9.5315e-03 eta: 2 days, 15:39:07 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 5.2558 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7295 loss: 2.7295 2022/07/27 03:48:27 - mmengine - INFO - Epoch(train) [26][300/3757] lr: 9.5315e-03 eta: 2 days, 15:38:59 time: 0.3934 data_time: 0.0145 memory: 17007 grad_norm: 5.0544 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8881 loss: 2.8881 2022/07/27 03:48:35 - mmengine - INFO - Epoch(train) [26][320/3757] lr: 9.5315e-03 eta: 2 days, 15:38:50 time: 0.3915 data_time: 0.0153 memory: 17007 grad_norm: 5.1473 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0252 loss: 3.0252 2022/07/27 03:48:42 - mmengine - INFO - Epoch(train) [26][340/3757] lr: 9.5315e-03 eta: 2 days, 15:38:42 time: 0.3902 data_time: 0.0131 memory: 17007 grad_norm: 5.1943 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9819 loss: 2.9819 2022/07/27 03:48:50 - mmengine - INFO - Epoch(train) [26][360/3757] lr: 9.5315e-03 eta: 2 days, 15:38:34 time: 0.3942 data_time: 0.0166 memory: 17007 grad_norm: 5.1352 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9850 loss: 2.9850 2022/07/27 03:48:58 - mmengine - INFO - Epoch(train) [26][380/3757] lr: 9.5315e-03 eta: 2 days, 15:38:26 time: 0.3926 data_time: 0.0155 memory: 17007 grad_norm: 5.1473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8880 loss: 2.8880 2022/07/27 03:49:06 - mmengine - INFO - Epoch(train) [26][400/3757] lr: 9.5315e-03 eta: 2 days, 15:38:18 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 5.0973 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9766 loss: 2.9766 2022/07/27 03:49:14 - mmengine - INFO - Epoch(train) [26][420/3757] lr: 9.5315e-03 eta: 2 days, 15:38:10 time: 0.3910 data_time: 0.0155 memory: 17007 grad_norm: 5.1847 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0467 loss: 3.0467 2022/07/27 03:49:22 - mmengine - INFO - Epoch(train) [26][440/3757] lr: 9.5315e-03 eta: 2 days, 15:38:02 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 5.3236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6062 loss: 2.6062 2022/07/27 03:49:30 - mmengine - INFO - Epoch(train) [26][460/3757] lr: 9.5315e-03 eta: 2 days, 15:37:54 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 5.0730 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8862 loss: 2.8862 2022/07/27 03:49:37 - mmengine - INFO - Epoch(train) [26][480/3757] lr: 9.5315e-03 eta: 2 days, 15:37:46 time: 0.3927 data_time: 0.0165 memory: 17007 grad_norm: 5.2025 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9809 loss: 2.9809 2022/07/27 03:49:45 - mmengine - INFO - Epoch(train) [26][500/3757] lr: 9.5315e-03 eta: 2 days, 15:37:38 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 4.9664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6738 loss: 2.6738 2022/07/27 03:49:53 - mmengine - INFO - Epoch(train) [26][520/3757] lr: 9.5315e-03 eta: 2 days, 15:37:30 time: 0.3909 data_time: 0.0151 memory: 17007 grad_norm: 5.1475 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8530 loss: 2.8530 2022/07/27 03:50:01 - mmengine - INFO - Epoch(train) [26][540/3757] lr: 9.5315e-03 eta: 2 days, 15:37:22 time: 0.3907 data_time: 0.0143 memory: 17007 grad_norm: 5.2773 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1766 loss: 3.1766 2022/07/27 03:50:09 - mmengine - INFO - Epoch(train) [26][560/3757] lr: 9.5315e-03 eta: 2 days, 15:37:15 time: 0.3992 data_time: 0.0166 memory: 17007 grad_norm: 5.0457 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9030 loss: 2.9030 2022/07/27 03:50:17 - mmengine - INFO - Epoch(train) [26][580/3757] lr: 9.5315e-03 eta: 2 days, 15:37:07 time: 0.3923 data_time: 0.0143 memory: 17007 grad_norm: 5.0619 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9705 loss: 2.9705 2022/07/27 03:50:25 - mmengine - INFO - Epoch(train) [26][600/3757] lr: 9.5315e-03 eta: 2 days, 15:36:59 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 5.0694 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9026 loss: 2.9026 2022/07/27 03:50:32 - mmengine - INFO - Epoch(train) [26][620/3757] lr: 9.5315e-03 eta: 2 days, 15:36:50 time: 0.3905 data_time: 0.0134 memory: 17007 grad_norm: 5.0955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9752 loss: 2.9752 2022/07/27 03:50:40 - mmengine - INFO - Epoch(train) [26][640/3757] lr: 9.5315e-03 eta: 2 days, 15:36:43 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 5.0275 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0102 loss: 3.0102 2022/07/27 03:50:48 - mmengine - INFO - Epoch(train) [26][660/3757] lr: 9.5315e-03 eta: 2 days, 15:36:34 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 4.9102 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6910 loss: 2.6910 2022/07/27 03:50:56 - mmengine - INFO - Epoch(train) [26][680/3757] lr: 9.5315e-03 eta: 2 days, 15:36:26 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 5.0024 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7948 loss: 2.7948 2022/07/27 03:51:04 - mmengine - INFO - Epoch(train) [26][700/3757] lr: 9.5315e-03 eta: 2 days, 15:36:18 time: 0.3912 data_time: 0.0151 memory: 17007 grad_norm: 4.9699 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4178 loss: 2.4178 2022/07/27 03:51:12 - mmengine - INFO - Epoch(train) [26][720/3757] lr: 9.5315e-03 eta: 2 days, 15:36:10 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 5.1142 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6071 loss: 2.6071 2022/07/27 03:51:20 - mmengine - INFO - Epoch(train) [26][740/3757] lr: 9.5315e-03 eta: 2 days, 15:36:02 time: 0.3907 data_time: 0.0150 memory: 17007 grad_norm: 4.8782 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8828 loss: 2.8828 2022/07/27 03:51:27 - mmengine - INFO - Epoch(train) [26][760/3757] lr: 9.5315e-03 eta: 2 days, 15:35:54 time: 0.3953 data_time: 0.0170 memory: 17007 grad_norm: 5.0312 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7443 loss: 2.7443 2022/07/27 03:51:35 - mmengine - INFO - Epoch(train) [26][780/3757] lr: 9.5315e-03 eta: 2 days, 15:35:46 time: 0.3902 data_time: 0.0135 memory: 17007 grad_norm: 4.9890 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7777 loss: 2.7777 2022/07/27 03:51:43 - mmengine - INFO - Epoch(train) [26][800/3757] lr: 9.5315e-03 eta: 2 days, 15:35:38 time: 0.3910 data_time: 0.0152 memory: 17007 grad_norm: 4.9338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7814 loss: 2.7814 2022/07/27 03:51:51 - mmengine - INFO - Epoch(train) [26][820/3757] lr: 9.5315e-03 eta: 2 days, 15:35:30 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 5.0259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6978 loss: 2.6978 2022/07/27 03:51:59 - mmengine - INFO - Epoch(train) [26][840/3757] lr: 9.5315e-03 eta: 2 days, 15:35:22 time: 0.3915 data_time: 0.0162 memory: 17007 grad_norm: 5.1036 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2505 loss: 3.2505 2022/07/27 03:52:07 - mmengine - INFO - Epoch(train) [26][860/3757] lr: 9.5315e-03 eta: 2 days, 15:35:14 time: 0.3983 data_time: 0.0164 memory: 17007 grad_norm: 5.0512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9477 loss: 2.9477 2022/07/27 03:52:15 - mmengine - INFO - Epoch(train) [26][880/3757] lr: 9.5315e-03 eta: 2 days, 15:35:06 time: 0.3911 data_time: 0.0159 memory: 17007 grad_norm: 5.1137 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6836 loss: 2.6836 2022/07/27 03:52:22 - mmengine - INFO - Epoch(train) [26][900/3757] lr: 9.5315e-03 eta: 2 days, 15:34:58 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 5.2238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8682 loss: 2.8682 2022/07/27 03:52:30 - mmengine - INFO - Epoch(train) [26][920/3757] lr: 9.5315e-03 eta: 2 days, 15:34:50 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.1007 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6070 loss: 2.6070 2022/07/27 03:52:38 - mmengine - INFO - Epoch(train) [26][940/3757] lr: 9.5315e-03 eta: 2 days, 15:34:43 time: 0.3939 data_time: 0.0161 memory: 17007 grad_norm: 5.2000 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7653 loss: 2.7653 2022/07/27 03:52:46 - mmengine - INFO - Epoch(train) [26][960/3757] lr: 9.5315e-03 eta: 2 days, 15:34:35 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 5.0353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8093 loss: 2.8093 2022/07/27 03:52:54 - mmengine - INFO - Epoch(train) [26][980/3757] lr: 9.5315e-03 eta: 2 days, 15:34:26 time: 0.3913 data_time: 0.0141 memory: 17007 grad_norm: 4.9355 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6199 loss: 2.6199 2022/07/27 03:53:02 - mmengine - INFO - Epoch(train) [26][1000/3757] lr: 9.5315e-03 eta: 2 days, 15:34:18 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 5.0368 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0379 loss: 3.0379 2022/07/27 03:53:10 - mmengine - INFO - Epoch(train) [26][1020/3757] lr: 9.5315e-03 eta: 2 days, 15:34:11 time: 0.3937 data_time: 0.0141 memory: 17007 grad_norm: 5.0993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9061 loss: 2.9061 2022/07/27 03:53:17 - mmengine - INFO - Epoch(train) [26][1040/3757] lr: 9.5315e-03 eta: 2 days, 15:34:03 time: 0.3932 data_time: 0.0179 memory: 17007 grad_norm: 5.0885 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8128 loss: 2.8128 2022/07/27 03:53:25 - mmengine - INFO - Epoch(train) [26][1060/3757] lr: 9.5315e-03 eta: 2 days, 15:33:55 time: 0.3960 data_time: 0.0152 memory: 17007 grad_norm: 5.2880 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9177 loss: 2.9177 2022/07/27 03:53:31 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 03:53:33 - mmengine - INFO - Epoch(train) [26][1080/3757] lr: 9.5315e-03 eta: 2 days, 15:33:47 time: 0.3920 data_time: 0.0167 memory: 17007 grad_norm: 5.2395 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.8472 loss: 2.8472 2022/07/27 03:53:41 - mmengine - INFO - Epoch(train) [26][1100/3757] lr: 9.5315e-03 eta: 2 days, 15:33:40 time: 0.3971 data_time: 0.0152 memory: 17007 grad_norm: 5.0733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8459 loss: 2.8459 2022/07/27 03:53:49 - mmengine - INFO - Epoch(train) [26][1120/3757] lr: 9.5315e-03 eta: 2 days, 15:33:31 time: 0.3920 data_time: 0.0161 memory: 17007 grad_norm: 4.8764 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6429 loss: 2.6429 2022/07/27 03:53:57 - mmengine - INFO - Epoch(train) [26][1140/3757] lr: 9.5315e-03 eta: 2 days, 15:33:24 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 5.1522 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0224 loss: 3.0224 2022/07/27 03:54:05 - mmengine - INFO - Epoch(train) [26][1160/3757] lr: 9.5315e-03 eta: 2 days, 15:33:16 time: 0.3918 data_time: 0.0163 memory: 17007 grad_norm: 5.1851 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8083 loss: 2.8083 2022/07/27 03:54:13 - mmengine - INFO - Epoch(train) [26][1180/3757] lr: 9.5315e-03 eta: 2 days, 15:33:08 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 5.1139 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6775 loss: 2.6775 2022/07/27 03:54:21 - mmengine - INFO - Epoch(train) [26][1200/3757] lr: 9.5315e-03 eta: 2 days, 15:33:01 time: 0.3989 data_time: 0.0161 memory: 17007 grad_norm: 5.1610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0171 loss: 3.0171 2022/07/27 03:54:28 - mmengine - INFO - Epoch(train) [26][1220/3757] lr: 9.5315e-03 eta: 2 days, 15:32:53 time: 0.3936 data_time: 0.0174 memory: 17007 grad_norm: 5.1321 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8276 loss: 2.8276 2022/07/27 03:54:36 - mmengine - INFO - Epoch(train) [26][1240/3757] lr: 9.5315e-03 eta: 2 days, 15:32:45 time: 0.3939 data_time: 0.0165 memory: 17007 grad_norm: 5.1033 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9967 loss: 2.9967 2022/07/27 03:54:44 - mmengine - INFO - Epoch(train) [26][1260/3757] lr: 9.5315e-03 eta: 2 days, 15:32:37 time: 0.3901 data_time: 0.0142 memory: 17007 grad_norm: 5.0802 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8642 loss: 2.8642 2022/07/27 03:54:52 - mmengine - INFO - Epoch(train) [26][1280/3757] lr: 9.5315e-03 eta: 2 days, 15:32:30 time: 0.4034 data_time: 0.0154 memory: 17007 grad_norm: 5.1298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9245 loss: 2.9245 2022/07/27 03:55:00 - mmengine - INFO - Epoch(train) [26][1300/3757] lr: 9.5315e-03 eta: 2 days, 15:32:22 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 4.8496 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6241 loss: 2.6241 2022/07/27 03:55:08 - mmengine - INFO - Epoch(train) [26][1320/3757] lr: 9.5315e-03 eta: 2 days, 15:32:15 time: 0.4025 data_time: 0.0152 memory: 17007 grad_norm: 5.1561 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0234 loss: 3.0234 2022/07/27 03:55:16 - mmengine - INFO - Epoch(train) [26][1340/3757] lr: 9.5315e-03 eta: 2 days, 15:32:07 time: 0.3919 data_time: 0.0144 memory: 17007 grad_norm: 5.0422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0069 loss: 3.0069 2022/07/27 03:55:24 - mmengine - INFO - Epoch(train) [26][1360/3757] lr: 9.5315e-03 eta: 2 days, 15:31:59 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 5.0887 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6481 loss: 2.6481 2022/07/27 03:55:32 - mmengine - INFO - Epoch(train) [26][1380/3757] lr: 9.5315e-03 eta: 2 days, 15:31:53 time: 0.4098 data_time: 0.0150 memory: 17007 grad_norm: 5.0751 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8863 loss: 2.8863 2022/07/27 03:55:40 - mmengine - INFO - Epoch(train) [26][1400/3757] lr: 9.5315e-03 eta: 2 days, 15:31:45 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 5.1788 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9209 loss: 2.9209 2022/07/27 03:55:48 - mmengine - INFO - Epoch(train) [26][1420/3757] lr: 9.5315e-03 eta: 2 days, 15:31:40 time: 0.4158 data_time: 0.0157 memory: 17007 grad_norm: 5.1262 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8215 loss: 2.8215 2022/07/27 03:55:56 - mmengine - INFO - Epoch(train) [26][1440/3757] lr: 9.5315e-03 eta: 2 days, 15:31:32 time: 0.3937 data_time: 0.0166 memory: 17007 grad_norm: 5.0575 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7882 loss: 2.7882 2022/07/27 03:56:04 - mmengine - INFO - Epoch(train) [26][1460/3757] lr: 9.5315e-03 eta: 2 days, 15:31:24 time: 0.3914 data_time: 0.0143 memory: 17007 grad_norm: 4.9361 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8640 loss: 2.8640 2022/07/27 03:56:12 - mmengine - INFO - Epoch(train) [26][1480/3757] lr: 9.5315e-03 eta: 2 days, 15:31:16 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 5.0290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5214 loss: 2.5214 2022/07/27 03:56:20 - mmengine - INFO - Epoch(train) [26][1500/3757] lr: 9.5315e-03 eta: 2 days, 15:31:09 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 5.0725 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8615 loss: 2.8615 2022/07/27 03:56:28 - mmengine - INFO - Epoch(train) [26][1520/3757] lr: 9.5315e-03 eta: 2 days, 15:31:02 time: 0.4062 data_time: 0.0155 memory: 17007 grad_norm: 5.1423 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6238 loss: 2.6238 2022/07/27 03:56:36 - mmengine - INFO - Epoch(train) [26][1540/3757] lr: 9.5315e-03 eta: 2 days, 15:30:54 time: 0.3954 data_time: 0.0145 memory: 17007 grad_norm: 5.0513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8825 loss: 2.8825 2022/07/27 03:56:44 - mmengine - INFO - Epoch(train) [26][1560/3757] lr: 9.5315e-03 eta: 2 days, 15:30:46 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 5.1568 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7216 loss: 2.7216 2022/07/27 03:56:51 - mmengine - INFO - Epoch(train) [26][1580/3757] lr: 9.5315e-03 eta: 2 days, 15:30:38 time: 0.3905 data_time: 0.0146 memory: 17007 grad_norm: 5.0362 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9789 loss: 2.9789 2022/07/27 03:56:59 - mmengine - INFO - Epoch(train) [26][1600/3757] lr: 9.5315e-03 eta: 2 days, 15:30:30 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 5.0980 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1216 loss: 3.1216 2022/07/27 03:57:07 - mmengine - INFO - Epoch(train) [26][1620/3757] lr: 9.5315e-03 eta: 2 days, 15:30:23 time: 0.4014 data_time: 0.0162 memory: 17007 grad_norm: 5.2414 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0909 loss: 3.0909 2022/07/27 03:57:15 - mmengine - INFO - Epoch(train) [26][1640/3757] lr: 9.5315e-03 eta: 2 days, 15:30:15 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 5.2843 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7553 loss: 2.7553 2022/07/27 03:57:23 - mmengine - INFO - Epoch(train) [26][1660/3757] lr: 9.5315e-03 eta: 2 days, 15:30:07 time: 0.3929 data_time: 0.0136 memory: 17007 grad_norm: 5.2788 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7707 loss: 2.7707 2022/07/27 03:57:31 - mmengine - INFO - Epoch(train) [26][1680/3757] lr: 9.5315e-03 eta: 2 days, 15:29:59 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 5.0840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1143 loss: 3.1143 2022/07/27 03:57:39 - mmengine - INFO - Epoch(train) [26][1700/3757] lr: 9.5315e-03 eta: 2 days, 15:29:51 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 5.0129 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6720 loss: 2.6720 2022/07/27 03:57:47 - mmengine - INFO - Epoch(train) [26][1720/3757] lr: 9.5315e-03 eta: 2 days, 15:29:44 time: 0.3950 data_time: 0.0165 memory: 17007 grad_norm: 5.1232 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7455 loss: 2.7455 2022/07/27 03:57:55 - mmengine - INFO - Epoch(train) [26][1740/3757] lr: 9.5315e-03 eta: 2 days, 15:29:35 time: 0.3905 data_time: 0.0147 memory: 17007 grad_norm: 4.8496 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7186 loss: 2.7186 2022/07/27 03:58:02 - mmengine - INFO - Epoch(train) [26][1760/3757] lr: 9.5315e-03 eta: 2 days, 15:29:27 time: 0.3927 data_time: 0.0165 memory: 17007 grad_norm: 5.1124 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7478 loss: 2.7478 2022/07/27 03:58:10 - mmengine - INFO - Epoch(train) [26][1780/3757] lr: 9.5315e-03 eta: 2 days, 15:29:19 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 5.0601 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8787 loss: 2.8787 2022/07/27 03:58:18 - mmengine - INFO - Epoch(train) [26][1800/3757] lr: 9.5315e-03 eta: 2 days, 15:29:12 time: 0.3946 data_time: 0.0175 memory: 17007 grad_norm: 5.0543 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9129 loss: 2.9129 2022/07/27 03:58:26 - mmengine - INFO - Epoch(train) [26][1820/3757] lr: 9.5315e-03 eta: 2 days, 15:29:04 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 4.9069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9229 loss: 2.9229 2022/07/27 03:58:34 - mmengine - INFO - Epoch(train) [26][1840/3757] lr: 9.5315e-03 eta: 2 days, 15:28:55 time: 0.3912 data_time: 0.0157 memory: 17007 grad_norm: 4.9991 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8134 loss: 2.8134 2022/07/27 03:58:42 - mmengine - INFO - Epoch(train) [26][1860/3757] lr: 9.5315e-03 eta: 2 days, 15:28:48 time: 0.3951 data_time: 0.0165 memory: 17007 grad_norm: 4.9703 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8137 loss: 2.8137 2022/07/27 03:58:50 - mmengine - INFO - Epoch(train) [26][1880/3757] lr: 9.5315e-03 eta: 2 days, 15:28:40 time: 0.3951 data_time: 0.0166 memory: 17007 grad_norm: 5.1725 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0074 loss: 3.0074 2022/07/27 03:58:57 - mmengine - INFO - Epoch(train) [26][1900/3757] lr: 9.5315e-03 eta: 2 days, 15:28:32 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 5.1173 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.9176 loss: 2.9176 2022/07/27 03:59:05 - mmengine - INFO - Epoch(train) [26][1920/3757] lr: 9.5315e-03 eta: 2 days, 15:28:24 time: 0.3914 data_time: 0.0149 memory: 17007 grad_norm: 4.9764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8202 loss: 2.8202 2022/07/27 03:59:13 - mmengine - INFO - Epoch(train) [26][1940/3757] lr: 9.5315e-03 eta: 2 days, 15:28:16 time: 0.3939 data_time: 0.0166 memory: 17007 grad_norm: 5.1852 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2585 loss: 3.2585 2022/07/27 03:59:21 - mmengine - INFO - Epoch(train) [26][1960/3757] lr: 9.5315e-03 eta: 2 days, 15:28:09 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 5.1759 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8298 loss: 2.8298 2022/07/27 03:59:29 - mmengine - INFO - Epoch(train) [26][1980/3757] lr: 9.5315e-03 eta: 2 days, 15:28:01 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.3180 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7422 loss: 2.7422 2022/07/27 03:59:37 - mmengine - INFO - Epoch(train) [26][2000/3757] lr: 9.5315e-03 eta: 2 days, 15:27:53 time: 0.3935 data_time: 0.0169 memory: 17007 grad_norm: 5.1206 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1418 loss: 3.1418 2022/07/27 03:59:45 - mmengine - INFO - Epoch(train) [26][2020/3757] lr: 9.5315e-03 eta: 2 days, 15:27:44 time: 0.3904 data_time: 0.0146 memory: 17007 grad_norm: 5.1494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7699 loss: 2.7699 2022/07/27 03:59:53 - mmengine - INFO - Epoch(train) [26][2040/3757] lr: 9.5315e-03 eta: 2 days, 15:27:37 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 5.1048 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8853 loss: 2.8853 2022/07/27 04:00:00 - mmengine - INFO - Epoch(train) [26][2060/3757] lr: 9.5315e-03 eta: 2 days, 15:27:29 time: 0.3948 data_time: 0.0142 memory: 17007 grad_norm: 5.0211 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8547 loss: 2.8547 2022/07/27 04:00:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:00:08 - mmengine - INFO - Epoch(train) [26][2080/3757] lr: 9.5315e-03 eta: 2 days, 15:27:21 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 5.0608 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1226 loss: 3.1226 2022/07/27 04:00:16 - mmengine - INFO - Epoch(train) [26][2100/3757] lr: 9.5315e-03 eta: 2 days, 15:27:13 time: 0.3914 data_time: 0.0146 memory: 17007 grad_norm: 4.8644 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8289 loss: 2.8289 2022/07/27 04:00:24 - mmengine - INFO - Epoch(train) [26][2120/3757] lr: 9.5315e-03 eta: 2 days, 15:27:05 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 5.1212 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1647 loss: 3.1647 2022/07/27 04:00:32 - mmengine - INFO - Epoch(train) [26][2140/3757] lr: 9.5315e-03 eta: 2 days, 15:26:57 time: 0.3934 data_time: 0.0143 memory: 17007 grad_norm: 5.1376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1168 loss: 3.1168 2022/07/27 04:00:40 - mmengine - INFO - Epoch(train) [26][2160/3757] lr: 9.5315e-03 eta: 2 days, 15:26:49 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 5.1671 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8884 loss: 2.8884 2022/07/27 04:00:48 - mmengine - INFO - Epoch(train) [26][2180/3757] lr: 9.5315e-03 eta: 2 days, 15:26:41 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 5.2617 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6476 loss: 2.6476 2022/07/27 04:00:56 - mmengine - INFO - Epoch(train) [26][2200/3757] lr: 9.5315e-03 eta: 2 days, 15:26:33 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 5.2352 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7655 loss: 2.7655 2022/07/27 04:01:03 - mmengine - INFO - Epoch(train) [26][2220/3757] lr: 9.5315e-03 eta: 2 days, 15:26:25 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.0511 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8815 loss: 2.8815 2022/07/27 04:01:11 - mmengine - INFO - Epoch(train) [26][2240/3757] lr: 9.5315e-03 eta: 2 days, 15:26:18 time: 0.3968 data_time: 0.0168 memory: 17007 grad_norm: 5.1097 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0011 loss: 3.0011 2022/07/27 04:01:19 - mmengine - INFO - Epoch(train) [26][2260/3757] lr: 9.5315e-03 eta: 2 days, 15:26:10 time: 0.3909 data_time: 0.0143 memory: 17007 grad_norm: 5.0158 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4180 loss: 2.4180 2022/07/27 04:01:27 - mmengine - INFO - Epoch(train) [26][2280/3757] lr: 9.5315e-03 eta: 2 days, 15:26:02 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 5.0473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8761 loss: 2.8761 2022/07/27 04:01:35 - mmengine - INFO - Epoch(train) [26][2300/3757] lr: 9.5315e-03 eta: 2 days, 15:25:54 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 5.0526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9455 loss: 2.9455 2022/07/27 04:01:43 - mmengine - INFO - Epoch(train) [26][2320/3757] lr: 9.5315e-03 eta: 2 days, 15:25:46 time: 0.3922 data_time: 0.0149 memory: 17007 grad_norm: 5.1651 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7613 loss: 2.7613 2022/07/27 04:01:51 - mmengine - INFO - Epoch(train) [26][2340/3757] lr: 9.5315e-03 eta: 2 days, 15:25:38 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 4.9758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6594 loss: 2.6594 2022/07/27 04:01:58 - mmengine - INFO - Epoch(train) [26][2360/3757] lr: 9.5315e-03 eta: 2 days, 15:25:30 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.1030 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6752 loss: 2.6752 2022/07/27 04:02:06 - mmengine - INFO - Epoch(train) [26][2380/3757] lr: 9.5315e-03 eta: 2 days, 15:25:22 time: 0.3925 data_time: 0.0137 memory: 17007 grad_norm: 4.9407 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9338 loss: 2.9338 2022/07/27 04:02:14 - mmengine - INFO - Epoch(train) [26][2400/3757] lr: 9.5315e-03 eta: 2 days, 15:25:14 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 4.9995 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9650 loss: 2.9650 2022/07/27 04:02:22 - mmengine - INFO - Epoch(train) [26][2420/3757] lr: 9.5315e-03 eta: 2 days, 15:25:06 time: 0.3922 data_time: 0.0141 memory: 17007 grad_norm: 5.0505 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9160 loss: 2.9160 2022/07/27 04:02:30 - mmengine - INFO - Epoch(train) [26][2440/3757] lr: 9.5315e-03 eta: 2 days, 15:24:58 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 5.0767 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8531 loss: 2.8531 2022/07/27 04:02:38 - mmengine - INFO - Epoch(train) [26][2460/3757] lr: 9.5315e-03 eta: 2 days, 15:24:50 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.0485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9302 loss: 2.9302 2022/07/27 04:02:46 - mmengine - INFO - Epoch(train) [26][2480/3757] lr: 9.5315e-03 eta: 2 days, 15:24:42 time: 0.3914 data_time: 0.0161 memory: 17007 grad_norm: 5.1460 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8379 loss: 2.8379 2022/07/27 04:02:53 - mmengine - INFO - Epoch(train) [26][2500/3757] lr: 9.5315e-03 eta: 2 days, 15:24:34 time: 0.3925 data_time: 0.0165 memory: 17007 grad_norm: 5.3579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8593 loss: 2.8593 2022/07/27 04:03:01 - mmengine - INFO - Epoch(train) [26][2520/3757] lr: 9.5315e-03 eta: 2 days, 15:24:26 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 4.9588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7490 loss: 2.7490 2022/07/27 04:03:09 - mmengine - INFO - Epoch(train) [26][2540/3757] lr: 9.5315e-03 eta: 2 days, 15:24:18 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 5.0195 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8711 loss: 2.8711 2022/07/27 04:03:17 - mmengine - INFO - Epoch(train) [26][2560/3757] lr: 9.5315e-03 eta: 2 days, 15:24:11 time: 0.4015 data_time: 0.0157 memory: 17007 grad_norm: 5.0167 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1182 loss: 3.1182 2022/07/27 04:03:25 - mmengine - INFO - Epoch(train) [26][2580/3757] lr: 9.5315e-03 eta: 2 days, 15:24:03 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 5.1697 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8914 loss: 2.8914 2022/07/27 04:03:33 - mmengine - INFO - Epoch(train) [26][2600/3757] lr: 9.5315e-03 eta: 2 days, 15:23:55 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.1298 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8504 loss: 2.8504 2022/07/27 04:03:41 - mmengine - INFO - Epoch(train) [26][2620/3757] lr: 9.5315e-03 eta: 2 days, 15:23:48 time: 0.4044 data_time: 0.0140 memory: 17007 grad_norm: 4.8937 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5629 loss: 2.5629 2022/07/27 04:03:49 - mmengine - INFO - Epoch(train) [26][2640/3757] lr: 9.5315e-03 eta: 2 days, 15:23:40 time: 0.3937 data_time: 0.0168 memory: 17007 grad_norm: 5.1872 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 2.9927 loss: 2.9927 2022/07/27 04:03:57 - mmengine - INFO - Epoch(train) [26][2660/3757] lr: 9.5315e-03 eta: 2 days, 15:23:32 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 4.8791 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6257 loss: 2.6257 2022/07/27 04:04:05 - mmengine - INFO - Epoch(train) [26][2680/3757] lr: 9.5315e-03 eta: 2 days, 15:23:24 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 5.0554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9027 loss: 2.9027 2022/07/27 04:04:12 - mmengine - INFO - Epoch(train) [26][2700/3757] lr: 9.5315e-03 eta: 2 days, 15:23:16 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 5.1055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8895 loss: 2.8895 2022/07/27 04:04:20 - mmengine - INFO - Epoch(train) [26][2720/3757] lr: 9.5315e-03 eta: 2 days, 15:23:08 time: 0.3921 data_time: 0.0161 memory: 17007 grad_norm: 5.1058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1259 loss: 3.1259 2022/07/27 04:04:28 - mmengine - INFO - Epoch(train) [26][2740/3757] lr: 9.5315e-03 eta: 2 days, 15:23:00 time: 0.3913 data_time: 0.0146 memory: 17007 grad_norm: 5.0604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8077 loss: 2.8077 2022/07/27 04:04:36 - mmengine - INFO - Epoch(train) [26][2760/3757] lr: 9.5315e-03 eta: 2 days, 15:22:52 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 5.0664 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5534 loss: 2.5534 2022/07/27 04:04:44 - mmengine - INFO - Epoch(train) [26][2780/3757] lr: 9.5315e-03 eta: 2 days, 15:22:44 time: 0.3914 data_time: 0.0137 memory: 17007 grad_norm: 5.1584 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9179 loss: 2.9179 2022/07/27 04:04:52 - mmengine - INFO - Epoch(train) [26][2800/3757] lr: 9.5315e-03 eta: 2 days, 15:22:36 time: 0.3943 data_time: 0.0175 memory: 17007 grad_norm: 5.0927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6751 loss: 2.6751 2022/07/27 04:05:00 - mmengine - INFO - Epoch(train) [26][2820/3757] lr: 9.5315e-03 eta: 2 days, 15:22:28 time: 0.3945 data_time: 0.0150 memory: 17007 grad_norm: 5.1385 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8065 loss: 2.8065 2022/07/27 04:05:07 - mmengine - INFO - Epoch(train) [26][2840/3757] lr: 9.5315e-03 eta: 2 days, 15:22:20 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 5.2297 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9061 loss: 2.9061 2022/07/27 04:05:15 - mmengine - INFO - Epoch(train) [26][2860/3757] lr: 9.5315e-03 eta: 2 days, 15:22:12 time: 0.3921 data_time: 0.0149 memory: 17007 grad_norm: 5.1259 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9219 loss: 2.9219 2022/07/27 04:05:23 - mmengine - INFO - Epoch(train) [26][2880/3757] lr: 9.5315e-03 eta: 2 days, 15:22:06 time: 0.4022 data_time: 0.0159 memory: 17007 grad_norm: 5.0180 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7399 loss: 2.7399 2022/07/27 04:05:31 - mmengine - INFO - Epoch(train) [26][2900/3757] lr: 9.5315e-03 eta: 2 days, 15:21:58 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 5.2353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9087 loss: 2.9087 2022/07/27 04:05:39 - mmengine - INFO - Epoch(train) [26][2920/3757] lr: 9.5315e-03 eta: 2 days, 15:21:50 time: 0.3952 data_time: 0.0166 memory: 17007 grad_norm: 5.1918 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8858 loss: 2.8858 2022/07/27 04:05:47 - mmengine - INFO - Epoch(train) [26][2940/3757] lr: 9.5315e-03 eta: 2 days, 15:21:42 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 5.1241 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5285 loss: 2.5285 2022/07/27 04:05:55 - mmengine - INFO - Epoch(train) [26][2960/3757] lr: 9.5315e-03 eta: 2 days, 15:21:34 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 5.1096 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8504 loss: 2.8504 2022/07/27 04:06:03 - mmengine - INFO - Epoch(train) [26][2980/3757] lr: 9.5315e-03 eta: 2 days, 15:21:26 time: 0.3920 data_time: 0.0143 memory: 17007 grad_norm: 5.0236 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7446 loss: 2.7446 2022/07/27 04:06:10 - mmengine - INFO - Epoch(train) [26][3000/3757] lr: 9.5315e-03 eta: 2 days, 15:21:18 time: 0.3937 data_time: 0.0171 memory: 17007 grad_norm: 5.0489 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9133 loss: 2.9133 2022/07/27 04:06:18 - mmengine - INFO - Epoch(train) [26][3020/3757] lr: 9.5315e-03 eta: 2 days, 15:21:10 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 4.9757 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7182 loss: 2.7182 2022/07/27 04:06:26 - mmengine - INFO - Epoch(train) [26][3040/3757] lr: 9.5315e-03 eta: 2 days, 15:21:02 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 5.1492 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9821 loss: 2.9821 2022/07/27 04:06:34 - mmengine - INFO - Epoch(train) [26][3060/3757] lr: 9.5315e-03 eta: 2 days, 15:20:54 time: 0.3921 data_time: 0.0142 memory: 17007 grad_norm: 5.1662 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8748 loss: 2.8748 2022/07/27 04:06:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:06:42 - mmengine - INFO - Epoch(train) [26][3080/3757] lr: 9.5315e-03 eta: 2 days, 15:20:46 time: 0.3949 data_time: 0.0154 memory: 17007 grad_norm: 5.2312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8185 loss: 2.8185 2022/07/27 04:06:50 - mmengine - INFO - Epoch(train) [26][3100/3757] lr: 9.5315e-03 eta: 2 days, 15:20:38 time: 0.3905 data_time: 0.0141 memory: 17007 grad_norm: 4.8938 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5654 loss: 2.5654 2022/07/27 04:06:58 - mmengine - INFO - Epoch(train) [26][3120/3757] lr: 9.5315e-03 eta: 2 days, 15:20:30 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 5.0248 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0113 loss: 3.0113 2022/07/27 04:07:05 - mmengine - INFO - Epoch(train) [26][3140/3757] lr: 9.5315e-03 eta: 2 days, 15:20:22 time: 0.3910 data_time: 0.0144 memory: 17007 grad_norm: 4.8579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7872 loss: 2.7872 2022/07/27 04:07:13 - mmengine - INFO - Epoch(train) [26][3160/3757] lr: 9.5315e-03 eta: 2 days, 15:20:14 time: 0.3934 data_time: 0.0167 memory: 17007 grad_norm: 4.9923 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4755 loss: 2.4755 2022/07/27 04:07:21 - mmengine - INFO - Epoch(train) [26][3180/3757] lr: 9.5315e-03 eta: 2 days, 15:20:06 time: 0.3910 data_time: 0.0153 memory: 17007 grad_norm: 5.0494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7030 loss: 2.7030 2022/07/27 04:07:29 - mmengine - INFO - Epoch(train) [26][3200/3757] lr: 9.5315e-03 eta: 2 days, 15:19:58 time: 0.3918 data_time: 0.0162 memory: 17007 grad_norm: 5.2297 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9379 loss: 2.9379 2022/07/27 04:07:37 - mmengine - INFO - Epoch(train) [26][3220/3757] lr: 9.5315e-03 eta: 2 days, 15:19:51 time: 0.4045 data_time: 0.0156 memory: 17007 grad_norm: 5.2509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8422 loss: 2.8422 2022/07/27 04:07:45 - mmengine - INFO - Epoch(train) [26][3240/3757] lr: 9.5315e-03 eta: 2 days, 15:19:43 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 4.9876 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6392 loss: 2.6392 2022/07/27 04:07:53 - mmengine - INFO - Epoch(train) [26][3260/3757] lr: 9.5315e-03 eta: 2 days, 15:19:35 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 5.1901 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2352 loss: 3.2352 2022/07/27 04:08:01 - mmengine - INFO - Epoch(train) [26][3280/3757] lr: 9.5315e-03 eta: 2 days, 15:19:27 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 5.0295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6715 loss: 2.6715 2022/07/27 04:08:08 - mmengine - INFO - Epoch(train) [26][3300/3757] lr: 9.5315e-03 eta: 2 days, 15:19:19 time: 0.3920 data_time: 0.0138 memory: 17007 grad_norm: 5.0931 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6591 loss: 2.6591 2022/07/27 04:08:16 - mmengine - INFO - Epoch(train) [26][3320/3757] lr: 9.5315e-03 eta: 2 days, 15:19:11 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 5.0167 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0231 loss: 3.0231 2022/07/27 04:08:24 - mmengine - INFO - Epoch(train) [26][3340/3757] lr: 9.5315e-03 eta: 2 days, 15:19:03 time: 0.3914 data_time: 0.0144 memory: 17007 grad_norm: 5.2985 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9860 loss: 2.9860 2022/07/27 04:08:32 - mmengine - INFO - Epoch(train) [26][3360/3757] lr: 9.5315e-03 eta: 2 days, 15:18:55 time: 0.3906 data_time: 0.0162 memory: 17007 grad_norm: 5.0350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8976 loss: 2.8976 2022/07/27 04:08:40 - mmengine - INFO - Epoch(train) [26][3380/3757] lr: 9.5315e-03 eta: 2 days, 15:18:47 time: 0.3932 data_time: 0.0139 memory: 17007 grad_norm: 4.8944 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6207 loss: 2.6207 2022/07/27 04:08:48 - mmengine - INFO - Epoch(train) [26][3400/3757] lr: 9.5315e-03 eta: 2 days, 15:18:39 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 5.1939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4811 loss: 2.4811 2022/07/27 04:08:56 - mmengine - INFO - Epoch(train) [26][3420/3757] lr: 9.5315e-03 eta: 2 days, 15:18:31 time: 0.3907 data_time: 0.0145 memory: 17007 grad_norm: 4.9921 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7300 loss: 2.7300 2022/07/27 04:09:04 - mmengine - INFO - Epoch(train) [26][3440/3757] lr: 9.5315e-03 eta: 2 days, 15:18:24 time: 0.4029 data_time: 0.0164 memory: 17007 grad_norm: 5.1479 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4766 loss: 2.4766 2022/07/27 04:09:11 - mmengine - INFO - Epoch(train) [26][3460/3757] lr: 9.5315e-03 eta: 2 days, 15:18:16 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 5.0968 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7062 loss: 2.7062 2022/07/27 04:09:19 - mmengine - INFO - Epoch(train) [26][3480/3757] lr: 9.5315e-03 eta: 2 days, 15:18:08 time: 0.3926 data_time: 0.0162 memory: 17007 grad_norm: 5.0303 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7394 loss: 2.7394 2022/07/27 04:09:27 - mmengine - INFO - Epoch(train) [26][3500/3757] lr: 9.5315e-03 eta: 2 days, 15:18:00 time: 0.3912 data_time: 0.0136 memory: 17007 grad_norm: 5.0832 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7294 loss: 2.7294 2022/07/27 04:09:35 - mmengine - INFO - Epoch(train) [26][3520/3757] lr: 9.5315e-03 eta: 2 days, 15:17:52 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 5.2369 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6925 loss: 2.6925 2022/07/27 04:09:43 - mmengine - INFO - Epoch(train) [26][3540/3757] lr: 9.5315e-03 eta: 2 days, 15:17:45 time: 0.4017 data_time: 0.0153 memory: 17007 grad_norm: 5.1152 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8863 loss: 2.8863 2022/07/27 04:09:51 - mmengine - INFO - Epoch(train) [26][3560/3757] lr: 9.5315e-03 eta: 2 days, 15:17:37 time: 0.3944 data_time: 0.0163 memory: 17007 grad_norm: 4.9972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5997 loss: 2.5997 2022/07/27 04:09:59 - mmengine - INFO - Epoch(train) [26][3580/3757] lr: 9.5315e-03 eta: 2 days, 15:17:29 time: 0.3956 data_time: 0.0156 memory: 17007 grad_norm: 5.2602 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9453 loss: 2.9453 2022/07/27 04:10:07 - mmengine - INFO - Epoch(train) [26][3600/3757] lr: 9.5315e-03 eta: 2 days, 15:17:21 time: 0.3915 data_time: 0.0157 memory: 17007 grad_norm: 5.1228 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5578 loss: 2.5578 2022/07/27 04:10:14 - mmengine - INFO - Epoch(train) [26][3620/3757] lr: 9.5315e-03 eta: 2 days, 15:17:13 time: 0.3904 data_time: 0.0130 memory: 17007 grad_norm: 4.9271 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8122 loss: 2.8122 2022/07/27 04:10:22 - mmengine - INFO - Epoch(train) [26][3640/3757] lr: 9.5315e-03 eta: 2 days, 15:17:05 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.0078 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6932 loss: 2.6932 2022/07/27 04:10:30 - mmengine - INFO - Epoch(train) [26][3660/3757] lr: 9.5315e-03 eta: 2 days, 15:16:57 time: 0.3936 data_time: 0.0163 memory: 17007 grad_norm: 5.0988 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5592 loss: 2.5592 2022/07/27 04:10:38 - mmengine - INFO - Epoch(train) [26][3680/3757] lr: 9.5315e-03 eta: 2 days, 15:16:50 time: 0.3958 data_time: 0.0171 memory: 17007 grad_norm: 5.0601 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0018 loss: 3.0018 2022/07/27 04:10:46 - mmengine - INFO - Epoch(train) [26][3700/3757] lr: 9.5315e-03 eta: 2 days, 15:16:41 time: 0.3915 data_time: 0.0130 memory: 17007 grad_norm: 5.1274 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7471 loss: 2.7471 2022/07/27 04:10:54 - mmengine - INFO - Epoch(train) [26][3720/3757] lr: 9.5315e-03 eta: 2 days, 15:16:34 time: 0.3934 data_time: 0.0162 memory: 17007 grad_norm: 5.0140 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9801 loss: 2.9801 2022/07/27 04:11:02 - mmengine - INFO - Epoch(train) [26][3740/3757] lr: 9.5315e-03 eta: 2 days, 15:16:25 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 5.0736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7715 loss: 2.7715 2022/07/27 04:11:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:11:08 - mmengine - INFO - Epoch(train) [26][3757/3757] lr: 9.5315e-03 eta: 2 days, 15:16:25 time: 0.3932 data_time: 0.0179 memory: 17007 grad_norm: 5.1905 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.0385 loss: 3.0385 2022/07/27 04:11:08 - mmengine - INFO - Saving checkpoint at 26 epochs 2022/07/27 04:11:19 - mmengine - INFO - Epoch(train) [27][20/3757] lr: 9.4940e-03 eta: 2 days, 15:15:38 time: 0.4508 data_time: 0.0739 memory: 17007 grad_norm: 5.2058 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8383 loss: 2.8383 2022/07/27 04:11:27 - mmengine - INFO - Epoch(train) [27][40/3757] lr: 9.4940e-03 eta: 2 days, 15:15:30 time: 0.3937 data_time: 0.0176 memory: 17007 grad_norm: 5.2710 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1466 loss: 3.1466 2022/07/27 04:11:35 - mmengine - INFO - Epoch(train) [27][60/3757] lr: 9.4940e-03 eta: 2 days, 15:15:22 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 5.1752 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5997 loss: 2.5997 2022/07/27 04:11:43 - mmengine - INFO - Epoch(train) [27][80/3757] lr: 9.4940e-03 eta: 2 days, 15:15:14 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 5.0022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9572 loss: 2.9572 2022/07/27 04:11:51 - mmengine - INFO - Epoch(train) [27][100/3757] lr: 9.4940e-03 eta: 2 days, 15:15:06 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 5.1617 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2133 loss: 3.2133 2022/07/27 04:11:59 - mmengine - INFO - Epoch(train) [27][120/3757] lr: 9.4940e-03 eta: 2 days, 15:14:58 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 5.0803 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0604 loss: 3.0604 2022/07/27 04:12:06 - mmengine - INFO - Epoch(train) [27][140/3757] lr: 9.4940e-03 eta: 2 days, 15:14:50 time: 0.3911 data_time: 0.0150 memory: 17007 grad_norm: 5.3579 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0765 loss: 3.0765 2022/07/27 04:12:14 - mmengine - INFO - Epoch(train) [27][160/3757] lr: 9.4940e-03 eta: 2 days, 15:14:42 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 4.9742 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1000 loss: 3.1000 2022/07/27 04:12:22 - mmengine - INFO - Epoch(train) [27][180/3757] lr: 9.4940e-03 eta: 2 days, 15:14:34 time: 0.3911 data_time: 0.0145 memory: 17007 grad_norm: 4.9890 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.7435 loss: 2.7435 2022/07/27 04:12:30 - mmengine - INFO - Epoch(train) [27][200/3757] lr: 9.4940e-03 eta: 2 days, 15:14:26 time: 0.3947 data_time: 0.0185 memory: 17007 grad_norm: 5.0923 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7741 loss: 2.7741 2022/07/27 04:12:38 - mmengine - INFO - Epoch(train) [27][220/3757] lr: 9.4940e-03 eta: 2 days, 15:14:18 time: 0.3918 data_time: 0.0146 memory: 17007 grad_norm: 5.1433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1460 loss: 3.1460 2022/07/27 04:12:46 - mmengine - INFO - Epoch(train) [27][240/3757] lr: 9.4940e-03 eta: 2 days, 15:14:10 time: 0.3919 data_time: 0.0156 memory: 17007 grad_norm: 5.1123 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7822 loss: 2.7822 2022/07/27 04:12:53 - mmengine - INFO - Epoch(train) [27][260/3757] lr: 9.4940e-03 eta: 2 days, 15:14:02 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.0764 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8009 loss: 2.8009 2022/07/27 04:13:01 - mmengine - INFO - Epoch(train) [27][280/3757] lr: 9.4940e-03 eta: 2 days, 15:13:54 time: 0.3927 data_time: 0.0167 memory: 17007 grad_norm: 5.1118 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9734 loss: 2.9734 2022/07/27 04:13:09 - mmengine - INFO - Epoch(train) [27][300/3757] lr: 9.4940e-03 eta: 2 days, 15:13:46 time: 0.3947 data_time: 0.0164 memory: 17007 grad_norm: 5.1081 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8213 loss: 2.8213 2022/07/27 04:13:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:13:17 - mmengine - INFO - Epoch(train) [27][320/3757] lr: 9.4940e-03 eta: 2 days, 15:13:38 time: 0.3923 data_time: 0.0161 memory: 17007 grad_norm: 5.0421 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5584 loss: 2.5584 2022/07/27 04:13:25 - mmengine - INFO - Epoch(train) [27][340/3757] lr: 9.4940e-03 eta: 2 days, 15:13:30 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 5.2139 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9745 loss: 2.9745 2022/07/27 04:13:33 - mmengine - INFO - Epoch(train) [27][360/3757] lr: 9.4940e-03 eta: 2 days, 15:13:23 time: 0.4020 data_time: 0.0165 memory: 17007 grad_norm: 4.9746 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7352 loss: 2.7352 2022/07/27 04:13:41 - mmengine - INFO - Epoch(train) [27][380/3757] lr: 9.4940e-03 eta: 2 days, 15:13:15 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 4.9527 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7770 loss: 2.7770 2022/07/27 04:13:49 - mmengine - INFO - Epoch(train) [27][400/3757] lr: 9.4940e-03 eta: 2 days, 15:13:07 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 5.1738 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9569 loss: 2.9569 2022/07/27 04:13:57 - mmengine - INFO - Epoch(train) [27][420/3757] lr: 9.4940e-03 eta: 2 days, 15:12:59 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.1430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0272 loss: 3.0272 2022/07/27 04:14:04 - mmengine - INFO - Epoch(train) [27][440/3757] lr: 9.4940e-03 eta: 2 days, 15:12:51 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.2225 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7921 loss: 2.7921 2022/07/27 04:14:12 - mmengine - INFO - Epoch(train) [27][460/3757] lr: 9.4940e-03 eta: 2 days, 15:12:44 time: 0.3953 data_time: 0.0167 memory: 17007 grad_norm: 5.1483 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7802 loss: 2.7802 2022/07/27 04:14:20 - mmengine - INFO - Epoch(train) [27][480/3757] lr: 9.4940e-03 eta: 2 days, 15:12:37 time: 0.4075 data_time: 0.0165 memory: 17007 grad_norm: 5.0237 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9132 loss: 2.9132 2022/07/27 04:14:28 - mmengine - INFO - Epoch(train) [27][500/3757] lr: 9.4940e-03 eta: 2 days, 15:12:30 time: 0.3948 data_time: 0.0162 memory: 17007 grad_norm: 5.0430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9123 loss: 2.9123 2022/07/27 04:14:36 - mmengine - INFO - Epoch(train) [27][520/3757] lr: 9.4940e-03 eta: 2 days, 15:12:22 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 5.0142 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4480 loss: 2.4480 2022/07/27 04:14:44 - mmengine - INFO - Epoch(train) [27][540/3757] lr: 9.4940e-03 eta: 2 days, 15:12:13 time: 0.3914 data_time: 0.0147 memory: 17007 grad_norm: 5.0825 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8276 loss: 2.8276 2022/07/27 04:14:52 - mmengine - INFO - Epoch(train) [27][560/3757] lr: 9.4940e-03 eta: 2 days, 15:12:06 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 5.0807 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9674 loss: 2.9674 2022/07/27 04:15:00 - mmengine - INFO - Epoch(train) [27][580/3757] lr: 9.4940e-03 eta: 2 days, 15:11:58 time: 0.3949 data_time: 0.0147 memory: 17007 grad_norm: 5.1183 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0907 loss: 3.0907 2022/07/27 04:15:08 - mmengine - INFO - Epoch(train) [27][600/3757] lr: 9.4940e-03 eta: 2 days, 15:11:50 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.1363 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7802 loss: 2.7802 2022/07/27 04:15:15 - mmengine - INFO - Epoch(train) [27][620/3757] lr: 9.4940e-03 eta: 2 days, 15:11:42 time: 0.3907 data_time: 0.0155 memory: 17007 grad_norm: 5.2798 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8009 loss: 2.8009 2022/07/27 04:15:23 - mmengine - INFO - Epoch(train) [27][640/3757] lr: 9.4940e-03 eta: 2 days, 15:11:33 time: 0.3915 data_time: 0.0160 memory: 17007 grad_norm: 5.1492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5910 loss: 2.5910 2022/07/27 04:15:31 - mmengine - INFO - Epoch(train) [27][660/3757] lr: 9.4940e-03 eta: 2 days, 15:11:26 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 5.3251 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0971 loss: 3.0971 2022/07/27 04:15:39 - mmengine - INFO - Epoch(train) [27][680/3757] lr: 9.4940e-03 eta: 2 days, 15:11:17 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 5.0096 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8073 loss: 2.8073 2022/07/27 04:15:47 - mmengine - INFO - Epoch(train) [27][700/3757] lr: 9.4940e-03 eta: 2 days, 15:11:09 time: 0.3904 data_time: 0.0148 memory: 17007 grad_norm: 5.3861 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2178 loss: 3.2178 2022/07/27 04:15:55 - mmengine - INFO - Epoch(train) [27][720/3757] lr: 9.4940e-03 eta: 2 days, 15:11:01 time: 0.3941 data_time: 0.0168 memory: 17007 grad_norm: 5.1941 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8665 loss: 2.8665 2022/07/27 04:16:03 - mmengine - INFO - Epoch(train) [27][740/3757] lr: 9.4940e-03 eta: 2 days, 15:10:53 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 5.1583 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9568 loss: 2.9568 2022/07/27 04:16:10 - mmengine - INFO - Epoch(train) [27][760/3757] lr: 9.4940e-03 eta: 2 days, 15:10:45 time: 0.3921 data_time: 0.0165 memory: 17007 grad_norm: 5.1310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0976 loss: 3.0976 2022/07/27 04:16:18 - mmengine - INFO - Epoch(train) [27][780/3757] lr: 9.4940e-03 eta: 2 days, 15:10:37 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 5.2213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9477 loss: 2.9477 2022/07/27 04:16:26 - mmengine - INFO - Epoch(train) [27][800/3757] lr: 9.4940e-03 eta: 2 days, 15:10:29 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 5.1948 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8248 loss: 2.8248 2022/07/27 04:16:34 - mmengine - INFO - Epoch(train) [27][820/3757] lr: 9.4940e-03 eta: 2 days, 15:10:22 time: 0.3977 data_time: 0.0156 memory: 17007 grad_norm: 5.3041 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8262 loss: 2.8262 2022/07/27 04:16:42 - mmengine - INFO - Epoch(train) [27][840/3757] lr: 9.4940e-03 eta: 2 days, 15:10:14 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 5.1156 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7128 loss: 2.7128 2022/07/27 04:16:50 - mmengine - INFO - Epoch(train) [27][860/3757] lr: 9.4940e-03 eta: 2 days, 15:10:06 time: 0.3937 data_time: 0.0162 memory: 17007 grad_norm: 4.9864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7174 loss: 2.7174 2022/07/27 04:16:58 - mmengine - INFO - Epoch(train) [27][880/3757] lr: 9.4940e-03 eta: 2 days, 15:09:58 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 5.2083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5157 loss: 2.5157 2022/07/27 04:17:05 - mmengine - INFO - Epoch(train) [27][900/3757] lr: 9.4940e-03 eta: 2 days, 15:09:50 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 5.0498 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4910 loss: 2.4910 2022/07/27 04:17:13 - mmengine - INFO - Epoch(train) [27][920/3757] lr: 9.4940e-03 eta: 2 days, 15:09:42 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 5.2521 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9424 loss: 2.9424 2022/07/27 04:17:21 - mmengine - INFO - Epoch(train) [27][940/3757] lr: 9.4940e-03 eta: 2 days, 15:09:34 time: 0.3913 data_time: 0.0151 memory: 17007 grad_norm: 5.2651 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5643 loss: 2.5643 2022/07/27 04:17:29 - mmengine - INFO - Epoch(train) [27][960/3757] lr: 9.4940e-03 eta: 2 days, 15:09:26 time: 0.3935 data_time: 0.0165 memory: 17007 grad_norm: 5.1392 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7543 loss: 2.7543 2022/07/27 04:17:37 - mmengine - INFO - Epoch(train) [27][980/3757] lr: 9.4940e-03 eta: 2 days, 15:09:18 time: 0.3914 data_time: 0.0151 memory: 17007 grad_norm: 5.2096 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0376 loss: 3.0376 2022/07/27 04:17:45 - mmengine - INFO - Epoch(train) [27][1000/3757] lr: 9.4940e-03 eta: 2 days, 15:09:09 time: 0.3914 data_time: 0.0157 memory: 17007 grad_norm: 5.1739 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7410 loss: 2.7410 2022/07/27 04:17:53 - mmengine - INFO - Epoch(train) [27][1020/3757] lr: 9.4940e-03 eta: 2 days, 15:09:02 time: 0.3992 data_time: 0.0147 memory: 17007 grad_norm: 5.2045 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7939 loss: 2.7939 2022/07/27 04:18:01 - mmengine - INFO - Epoch(train) [27][1040/3757] lr: 9.4940e-03 eta: 2 days, 15:08:54 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 5.1129 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4974 loss: 2.4974 2022/07/27 04:18:09 - mmengine - INFO - Epoch(train) [27][1060/3757] lr: 9.4940e-03 eta: 2 days, 15:08:48 time: 0.4025 data_time: 0.0155 memory: 17007 grad_norm: 5.3605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9354 loss: 2.9354 2022/07/27 04:18:16 - mmengine - INFO - Epoch(train) [27][1080/3757] lr: 9.4940e-03 eta: 2 days, 15:08:39 time: 0.3911 data_time: 0.0156 memory: 17007 grad_norm: 5.0732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9044 loss: 2.9044 2022/07/27 04:18:24 - mmengine - INFO - Epoch(train) [27][1100/3757] lr: 9.4940e-03 eta: 2 days, 15:08:31 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 5.1865 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8129 loss: 2.8129 2022/07/27 04:18:32 - mmengine - INFO - Epoch(train) [27][1120/3757] lr: 9.4940e-03 eta: 2 days, 15:08:24 time: 0.3985 data_time: 0.0158 memory: 17007 grad_norm: 5.0200 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6836 loss: 2.6836 2022/07/27 04:18:40 - mmengine - INFO - Epoch(train) [27][1140/3757] lr: 9.4940e-03 eta: 2 days, 15:08:16 time: 0.3920 data_time: 0.0153 memory: 17007 grad_norm: 5.0242 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4440 loss: 2.4440 2022/07/27 04:18:48 - mmengine - INFO - Epoch(train) [27][1160/3757] lr: 9.4940e-03 eta: 2 days, 15:08:08 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 5.0389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6556 loss: 2.6556 2022/07/27 04:18:56 - mmengine - INFO - Epoch(train) [27][1180/3757] lr: 9.4940e-03 eta: 2 days, 15:08:00 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 5.1157 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8612 loss: 2.8612 2022/07/27 04:19:04 - mmengine - INFO - Epoch(train) [27][1200/3757] lr: 9.4940e-03 eta: 2 days, 15:07:52 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 5.1208 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8438 loss: 2.8438 2022/07/27 04:19:11 - mmengine - INFO - Epoch(train) [27][1220/3757] lr: 9.4940e-03 eta: 2 days, 15:07:44 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 5.0034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9041 loss: 2.9041 2022/07/27 04:19:19 - mmengine - INFO - Epoch(train) [27][1240/3757] lr: 9.4940e-03 eta: 2 days, 15:07:36 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 5.0920 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7061 loss: 2.7061 2022/07/27 04:19:27 - mmengine - INFO - Epoch(train) [27][1260/3757] lr: 9.4940e-03 eta: 2 days, 15:07:28 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 5.0437 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7965 loss: 2.7965 2022/07/27 04:19:35 - mmengine - INFO - Epoch(train) [27][1280/3757] lr: 9.4940e-03 eta: 2 days, 15:07:20 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 5.1178 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3759 loss: 2.3759 2022/07/27 04:19:43 - mmengine - INFO - Epoch(train) [27][1300/3757] lr: 9.4940e-03 eta: 2 days, 15:07:12 time: 0.3920 data_time: 0.0144 memory: 17007 grad_norm: 5.1872 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8624 loss: 2.8624 2022/07/27 04:19:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:19:51 - mmengine - INFO - Epoch(train) [27][1320/3757] lr: 9.4940e-03 eta: 2 days, 15:07:05 time: 0.3975 data_time: 0.0162 memory: 17007 grad_norm: 5.1796 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.8996 loss: 2.8996 2022/07/27 04:19:59 - mmengine - INFO - Epoch(train) [27][1340/3757] lr: 9.4940e-03 eta: 2 days, 15:06:56 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 5.1632 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6383 loss: 2.6383 2022/07/27 04:20:07 - mmengine - INFO - Epoch(train) [27][1360/3757] lr: 9.4940e-03 eta: 2 days, 15:06:48 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 5.2971 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6018 loss: 2.6018 2022/07/27 04:20:14 - mmengine - INFO - Epoch(train) [27][1380/3757] lr: 9.4940e-03 eta: 2 days, 15:06:40 time: 0.3926 data_time: 0.0144 memory: 17007 grad_norm: 5.3872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6622 loss: 2.6622 2022/07/27 04:20:22 - mmengine - INFO - Epoch(train) [27][1400/3757] lr: 9.4940e-03 eta: 2 days, 15:06:32 time: 0.3923 data_time: 0.0168 memory: 17007 grad_norm: 5.2523 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7656 loss: 2.7656 2022/07/27 04:20:30 - mmengine - INFO - Epoch(train) [27][1420/3757] lr: 9.4940e-03 eta: 2 days, 15:06:24 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 5.2058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6774 loss: 2.6774 2022/07/27 04:20:38 - mmengine - INFO - Epoch(train) [27][1440/3757] lr: 9.4940e-03 eta: 2 days, 15:06:17 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 5.2971 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9168 loss: 2.9168 2022/07/27 04:20:46 - mmengine - INFO - Epoch(train) [27][1460/3757] lr: 9.4940e-03 eta: 2 days, 15:06:08 time: 0.3901 data_time: 0.0147 memory: 17007 grad_norm: 5.3546 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6924 loss: 2.6924 2022/07/27 04:20:54 - mmengine - INFO - Epoch(train) [27][1480/3757] lr: 9.4940e-03 eta: 2 days, 15:06:00 time: 0.3936 data_time: 0.0165 memory: 17007 grad_norm: 5.3282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6005 loss: 2.6005 2022/07/27 04:21:01 - mmengine - INFO - Epoch(train) [27][1500/3757] lr: 9.4940e-03 eta: 2 days, 15:05:52 time: 0.3926 data_time: 0.0155 memory: 17007 grad_norm: 5.1391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7927 loss: 2.7927 2022/07/27 04:21:09 - mmengine - INFO - Epoch(train) [27][1520/3757] lr: 9.4940e-03 eta: 2 days, 15:05:45 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 5.2461 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4780 loss: 2.4780 2022/07/27 04:21:17 - mmengine - INFO - Epoch(train) [27][1540/3757] lr: 9.4940e-03 eta: 2 days, 15:05:36 time: 0.3910 data_time: 0.0146 memory: 17007 grad_norm: 5.1304 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9149 loss: 2.9149 2022/07/27 04:21:25 - mmengine - INFO - Epoch(train) [27][1560/3757] lr: 9.4940e-03 eta: 2 days, 15:05:28 time: 0.3924 data_time: 0.0172 memory: 17007 grad_norm: 5.0460 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7413 loss: 2.7413 2022/07/27 04:21:33 - mmengine - INFO - Epoch(train) [27][1580/3757] lr: 9.4940e-03 eta: 2 days, 15:05:20 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 5.0305 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8792 loss: 2.8792 2022/07/27 04:21:41 - mmengine - INFO - Epoch(train) [27][1600/3757] lr: 9.4940e-03 eta: 2 days, 15:05:12 time: 0.3933 data_time: 0.0173 memory: 17007 grad_norm: 5.0044 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7171 loss: 2.7171 2022/07/27 04:21:49 - mmengine - INFO - Epoch(train) [27][1620/3757] lr: 9.4940e-03 eta: 2 days, 15:05:05 time: 0.3932 data_time: 0.0172 memory: 17007 grad_norm: 5.1914 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.1210 loss: 3.1210 2022/07/27 04:21:56 - mmengine - INFO - Epoch(train) [27][1640/3757] lr: 9.4940e-03 eta: 2 days, 15:04:56 time: 0.3918 data_time: 0.0160 memory: 17007 grad_norm: 5.1760 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5785 loss: 2.5785 2022/07/27 04:22:04 - mmengine - INFO - Epoch(train) [27][1660/3757] lr: 9.4940e-03 eta: 2 days, 15:04:48 time: 0.3907 data_time: 0.0149 memory: 17007 grad_norm: 5.0802 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0544 loss: 3.0544 2022/07/27 04:22:12 - mmengine - INFO - Epoch(train) [27][1680/3757] lr: 9.4940e-03 eta: 2 days, 15:04:40 time: 0.3931 data_time: 0.0168 memory: 17007 grad_norm: 5.0514 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6636 loss: 2.6636 2022/07/27 04:22:20 - mmengine - INFO - Epoch(train) [27][1700/3757] lr: 9.4940e-03 eta: 2 days, 15:04:32 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 5.0652 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8826 loss: 2.8826 2022/07/27 04:22:28 - mmengine - INFO - Epoch(train) [27][1720/3757] lr: 9.4940e-03 eta: 2 days, 15:04:24 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 5.1174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7698 loss: 2.7698 2022/07/27 04:22:36 - mmengine - INFO - Epoch(train) [27][1740/3757] lr: 9.4940e-03 eta: 2 days, 15:04:17 time: 0.3956 data_time: 0.0146 memory: 17007 grad_norm: 5.1140 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8736 loss: 2.8736 2022/07/27 04:22:44 - mmengine - INFO - Epoch(train) [27][1760/3757] lr: 9.4940e-03 eta: 2 days, 15:04:08 time: 0.3917 data_time: 0.0163 memory: 17007 grad_norm: 5.0045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5904 loss: 2.5904 2022/07/27 04:22:51 - mmengine - INFO - Epoch(train) [27][1780/3757] lr: 9.4940e-03 eta: 2 days, 15:04:01 time: 0.3940 data_time: 0.0170 memory: 17007 grad_norm: 5.0948 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8622 loss: 2.8622 2022/07/27 04:22:59 - mmengine - INFO - Epoch(train) [27][1800/3757] lr: 9.4940e-03 eta: 2 days, 15:03:53 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 5.1982 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5502 loss: 2.5502 2022/07/27 04:23:07 - mmengine - INFO - Epoch(train) [27][1820/3757] lr: 9.4940e-03 eta: 2 days, 15:03:45 time: 0.3907 data_time: 0.0146 memory: 17007 grad_norm: 5.1504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0488 loss: 3.0488 2022/07/27 04:23:15 - mmengine - INFO - Epoch(train) [27][1840/3757] lr: 9.4940e-03 eta: 2 days, 15:03:37 time: 0.3953 data_time: 0.0168 memory: 17007 grad_norm: 5.2870 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8007 loss: 2.8007 2022/07/27 04:23:23 - mmengine - INFO - Epoch(train) [27][1860/3757] lr: 9.4940e-03 eta: 2 days, 15:03:29 time: 0.3903 data_time: 0.0141 memory: 17007 grad_norm: 4.9370 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5074 loss: 2.5074 2022/07/27 04:23:31 - mmengine - INFO - Epoch(train) [27][1880/3757] lr: 9.4940e-03 eta: 2 days, 15:03:21 time: 0.3950 data_time: 0.0166 memory: 17007 grad_norm: 5.1933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8652 loss: 2.8652 2022/07/27 04:23:39 - mmengine - INFO - Epoch(train) [27][1900/3757] lr: 9.4940e-03 eta: 2 days, 15:03:13 time: 0.3918 data_time: 0.0155 memory: 17007 grad_norm: 5.1955 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0245 loss: 3.0245 2022/07/27 04:23:46 - mmengine - INFO - Epoch(train) [27][1920/3757] lr: 9.4940e-03 eta: 2 days, 15:03:05 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.2671 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8605 loss: 2.8605 2022/07/27 04:23:55 - mmengine - INFO - Epoch(train) [27][1940/3757] lr: 9.4940e-03 eta: 2 days, 15:02:58 time: 0.4060 data_time: 0.0155 memory: 17007 grad_norm: 5.1610 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7163 loss: 2.7163 2022/07/27 04:24:02 - mmengine - INFO - Epoch(train) [27][1960/3757] lr: 9.4940e-03 eta: 2 days, 15:02:50 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 5.2149 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6636 loss: 2.6636 2022/07/27 04:24:10 - mmengine - INFO - Epoch(train) [27][1980/3757] lr: 9.4940e-03 eta: 2 days, 15:02:43 time: 0.3991 data_time: 0.0167 memory: 17007 grad_norm: 5.1163 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9931 loss: 2.9931 2022/07/27 04:24:18 - mmengine - INFO - Epoch(train) [27][2000/3757] lr: 9.4940e-03 eta: 2 days, 15:02:35 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.4543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9753 loss: 2.9753 2022/07/27 04:24:26 - mmengine - INFO - Epoch(train) [27][2020/3757] lr: 9.4940e-03 eta: 2 days, 15:02:27 time: 0.3914 data_time: 0.0149 memory: 17007 grad_norm: 5.2442 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1613 loss: 3.1613 2022/07/27 04:24:34 - mmengine - INFO - Epoch(train) [27][2040/3757] lr: 9.4940e-03 eta: 2 days, 15:02:19 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.0366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6063 loss: 2.6063 2022/07/27 04:24:42 - mmengine - INFO - Epoch(train) [27][2060/3757] lr: 9.4940e-03 eta: 2 days, 15:02:11 time: 0.3915 data_time: 0.0141 memory: 17007 grad_norm: 5.0810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6352 loss: 2.6352 2022/07/27 04:24:50 - mmengine - INFO - Epoch(train) [27][2080/3757] lr: 9.4940e-03 eta: 2 days, 15:02:03 time: 0.3926 data_time: 0.0167 memory: 17007 grad_norm: 5.2685 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0884 loss: 3.0884 2022/07/27 04:24:58 - mmengine - INFO - Epoch(train) [27][2100/3757] lr: 9.4940e-03 eta: 2 days, 15:01:55 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 5.1755 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0137 loss: 3.0137 2022/07/27 04:25:05 - mmengine - INFO - Epoch(train) [27][2120/3757] lr: 9.4940e-03 eta: 2 days, 15:01:48 time: 0.3974 data_time: 0.0160 memory: 17007 grad_norm: 5.2569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7538 loss: 2.7538 2022/07/27 04:25:13 - mmengine - INFO - Epoch(train) [27][2140/3757] lr: 9.4940e-03 eta: 2 days, 15:01:40 time: 0.3946 data_time: 0.0162 memory: 17007 grad_norm: 5.1997 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9608 loss: 2.9608 2022/07/27 04:25:21 - mmengine - INFO - Epoch(train) [27][2160/3757] lr: 9.4940e-03 eta: 2 days, 15:01:33 time: 0.4037 data_time: 0.0155 memory: 17007 grad_norm: 5.0736 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8471 loss: 2.8471 2022/07/27 04:25:29 - mmengine - INFO - Epoch(train) [27][2180/3757] lr: 9.4940e-03 eta: 2 days, 15:01:25 time: 0.3961 data_time: 0.0158 memory: 17007 grad_norm: 5.0499 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0841 loss: 3.0841 2022/07/27 04:25:37 - mmengine - INFO - Epoch(train) [27][2200/3757] lr: 9.4940e-03 eta: 2 days, 15:01:17 time: 0.3927 data_time: 0.0166 memory: 17007 grad_norm: 5.0645 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9899 loss: 2.9899 2022/07/27 04:25:45 - mmengine - INFO - Epoch(train) [27][2220/3757] lr: 9.4940e-03 eta: 2 days, 15:01:09 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 5.2613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5692 loss: 2.5692 2022/07/27 04:25:53 - mmengine - INFO - Epoch(train) [27][2240/3757] lr: 9.4940e-03 eta: 2 days, 15:01:01 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 5.2329 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9305 loss: 2.9305 2022/07/27 04:26:01 - mmengine - INFO - Epoch(train) [27][2260/3757] lr: 9.4940e-03 eta: 2 days, 15:00:53 time: 0.3910 data_time: 0.0147 memory: 17007 grad_norm: 5.1203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7392 loss: 2.7392 2022/07/27 04:26:09 - mmengine - INFO - Epoch(train) [27][2280/3757] lr: 9.4940e-03 eta: 2 days, 15:00:46 time: 0.3994 data_time: 0.0168 memory: 17007 grad_norm: 5.1202 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9302 loss: 2.9302 2022/07/27 04:26:17 - mmengine - INFO - Epoch(train) [27][2300/3757] lr: 9.4940e-03 eta: 2 days, 15:00:38 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 5.0632 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6819 loss: 2.6819 2022/07/27 04:26:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:26:24 - mmengine - INFO - Epoch(train) [27][2320/3757] lr: 9.4940e-03 eta: 2 days, 15:00:30 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 5.1407 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7675 loss: 2.7675 2022/07/27 04:26:32 - mmengine - INFO - Epoch(train) [27][2340/3757] lr: 9.4940e-03 eta: 2 days, 15:00:22 time: 0.3966 data_time: 0.0140 memory: 17007 grad_norm: 5.2314 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7517 loss: 2.7517 2022/07/27 04:26:40 - mmengine - INFO - Epoch(train) [27][2360/3757] lr: 9.4940e-03 eta: 2 days, 15:00:14 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 5.1912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6304 loss: 2.6304 2022/07/27 04:26:48 - mmengine - INFO - Epoch(train) [27][2380/3757] lr: 9.4940e-03 eta: 2 days, 15:00:07 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 5.2045 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.9932 loss: 2.9932 2022/07/27 04:26:56 - mmengine - INFO - Epoch(train) [27][2400/3757] lr: 9.4940e-03 eta: 2 days, 14:59:59 time: 0.3989 data_time: 0.0168 memory: 17007 grad_norm: 5.1847 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9051 loss: 2.9051 2022/07/27 04:27:04 - mmengine - INFO - Epoch(train) [27][2420/3757] lr: 9.4940e-03 eta: 2 days, 14:59:52 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 4.9837 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.0157 loss: 3.0157 2022/07/27 04:27:12 - mmengine - INFO - Epoch(train) [27][2440/3757] lr: 9.4940e-03 eta: 2 days, 14:59:44 time: 0.3974 data_time: 0.0160 memory: 17007 grad_norm: 5.1342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5863 loss: 2.5863 2022/07/27 04:27:20 - mmengine - INFO - Epoch(train) [27][2460/3757] lr: 9.4940e-03 eta: 2 days, 14:59:36 time: 0.3919 data_time: 0.0156 memory: 17007 grad_norm: 5.2052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7076 loss: 2.7076 2022/07/27 04:27:28 - mmengine - INFO - Epoch(train) [27][2480/3757] lr: 9.4940e-03 eta: 2 days, 14:59:28 time: 0.3926 data_time: 0.0161 memory: 17007 grad_norm: 4.9795 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9573 loss: 2.9573 2022/07/27 04:27:36 - mmengine - INFO - Epoch(train) [27][2500/3757] lr: 9.4940e-03 eta: 2 days, 14:59:20 time: 0.3963 data_time: 0.0155 memory: 17007 grad_norm: 5.0116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5751 loss: 2.5751 2022/07/27 04:27:44 - mmengine - INFO - Epoch(train) [27][2520/3757] lr: 9.4940e-03 eta: 2 days, 14:59:14 time: 0.4037 data_time: 0.0179 memory: 17007 grad_norm: 5.0837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6263 loss: 2.6263 2022/07/27 04:27:52 - mmengine - INFO - Epoch(train) [27][2540/3757] lr: 9.4940e-03 eta: 2 days, 14:59:06 time: 0.3956 data_time: 0.0147 memory: 17007 grad_norm: 5.0958 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6767 loss: 2.6767 2022/07/27 04:28:00 - mmengine - INFO - Epoch(train) [27][2560/3757] lr: 9.4940e-03 eta: 2 days, 14:59:00 time: 0.4108 data_time: 0.0179 memory: 17007 grad_norm: 5.1235 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8527 loss: 2.8527 2022/07/27 04:28:08 - mmengine - INFO - Epoch(train) [27][2580/3757] lr: 9.4940e-03 eta: 2 days, 14:58:52 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.0341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6344 loss: 2.6344 2022/07/27 04:28:15 - mmengine - INFO - Epoch(train) [27][2600/3757] lr: 9.4940e-03 eta: 2 days, 14:58:44 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 5.2373 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7824 loss: 2.7824 2022/07/27 04:28:23 - mmengine - INFO - Epoch(train) [27][2620/3757] lr: 9.4940e-03 eta: 2 days, 14:58:36 time: 0.3943 data_time: 0.0158 memory: 17007 grad_norm: 5.2200 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6961 loss: 2.6961 2022/07/27 04:28:31 - mmengine - INFO - Epoch(train) [27][2640/3757] lr: 9.4940e-03 eta: 2 days, 14:58:29 time: 0.3943 data_time: 0.0166 memory: 17007 grad_norm: 5.1154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8911 loss: 2.8911 2022/07/27 04:28:39 - mmengine - INFO - Epoch(train) [27][2660/3757] lr: 9.4940e-03 eta: 2 days, 14:58:21 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 5.2203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6584 loss: 2.6584 2022/07/27 04:28:47 - mmengine - INFO - Epoch(train) [27][2680/3757] lr: 9.4940e-03 eta: 2 days, 14:58:13 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 5.0795 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0391 loss: 3.0391 2022/07/27 04:28:55 - mmengine - INFO - Epoch(train) [27][2700/3757] lr: 9.4940e-03 eta: 2 days, 14:58:05 time: 0.3921 data_time: 0.0144 memory: 17007 grad_norm: 5.2259 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9160 loss: 2.9160 2022/07/27 04:29:03 - mmengine - INFO - Epoch(train) [27][2720/3757] lr: 9.4940e-03 eta: 2 days, 14:57:57 time: 0.3927 data_time: 0.0169 memory: 17007 grad_norm: 5.0466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8119 loss: 2.8119 2022/07/27 04:29:11 - mmengine - INFO - Epoch(train) [27][2740/3757] lr: 9.4940e-03 eta: 2 days, 14:57:49 time: 0.3946 data_time: 0.0159 memory: 17007 grad_norm: 5.1905 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0263 loss: 3.0263 2022/07/27 04:29:18 - mmengine - INFO - Epoch(train) [27][2760/3757] lr: 9.4940e-03 eta: 2 days, 14:57:41 time: 0.3941 data_time: 0.0168 memory: 17007 grad_norm: 5.0916 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.9213 loss: 2.9213 2022/07/27 04:29:26 - mmengine - INFO - Epoch(train) [27][2780/3757] lr: 9.4940e-03 eta: 2 days, 14:57:33 time: 0.3929 data_time: 0.0140 memory: 17007 grad_norm: 5.0367 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6375 loss: 2.6375 2022/07/27 04:29:34 - mmengine - INFO - Epoch(train) [27][2800/3757] lr: 9.4940e-03 eta: 2 days, 14:57:25 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 5.0714 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7396 loss: 2.7396 2022/07/27 04:29:42 - mmengine - INFO - Epoch(train) [27][2820/3757] lr: 9.4940e-03 eta: 2 days, 14:57:18 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 5.1713 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7595 loss: 2.7595 2022/07/27 04:29:50 - mmengine - INFO - Epoch(train) [27][2840/3757] lr: 9.4940e-03 eta: 2 days, 14:57:10 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 5.3956 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4797 loss: 2.4797 2022/07/27 04:29:58 - mmengine - INFO - Epoch(train) [27][2860/3757] lr: 9.4940e-03 eta: 2 days, 14:57:01 time: 0.3917 data_time: 0.0155 memory: 17007 grad_norm: 5.3301 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7014 loss: 2.7014 2022/07/27 04:30:06 - mmengine - INFO - Epoch(train) [27][2880/3757] lr: 9.4940e-03 eta: 2 days, 14:56:54 time: 0.3933 data_time: 0.0171 memory: 17007 grad_norm: 5.1831 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7242 loss: 2.7242 2022/07/27 04:30:13 - mmengine - INFO - Epoch(train) [27][2900/3757] lr: 9.4940e-03 eta: 2 days, 14:56:46 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 5.1394 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9221 loss: 2.9221 2022/07/27 04:30:21 - mmengine - INFO - Epoch(train) [27][2920/3757] lr: 9.4940e-03 eta: 2 days, 14:56:38 time: 0.3921 data_time: 0.0165 memory: 17007 grad_norm: 5.2506 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8152 loss: 2.8152 2022/07/27 04:30:29 - mmengine - INFO - Epoch(train) [27][2940/3757] lr: 9.4940e-03 eta: 2 days, 14:56:29 time: 0.3920 data_time: 0.0153 memory: 17007 grad_norm: 5.3799 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4685 loss: 2.4685 2022/07/27 04:30:37 - mmengine - INFO - Epoch(train) [27][2960/3757] lr: 9.4940e-03 eta: 2 days, 14:56:21 time: 0.3928 data_time: 0.0169 memory: 17007 grad_norm: 5.3365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8195 loss: 2.8195 2022/07/27 04:30:45 - mmengine - INFO - Epoch(train) [27][2980/3757] lr: 9.4940e-03 eta: 2 days, 14:56:14 time: 0.3972 data_time: 0.0149 memory: 17007 grad_norm: 5.2727 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5865 loss: 2.5865 2022/07/27 04:30:53 - mmengine - INFO - Epoch(train) [27][3000/3757] lr: 9.4940e-03 eta: 2 days, 14:56:06 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 5.1261 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0534 loss: 3.0534 2022/07/27 04:31:01 - mmengine - INFO - Epoch(train) [27][3020/3757] lr: 9.4940e-03 eta: 2 days, 14:55:58 time: 0.3930 data_time: 0.0166 memory: 17007 grad_norm: 5.2979 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0471 loss: 3.0471 2022/07/27 04:31:09 - mmengine - INFO - Epoch(train) [27][3040/3757] lr: 9.4940e-03 eta: 2 days, 14:55:50 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.1956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4099 loss: 2.4099 2022/07/27 04:31:16 - mmengine - INFO - Epoch(train) [27][3060/3757] lr: 9.4940e-03 eta: 2 days, 14:55:42 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 5.1540 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6661 loss: 2.6661 2022/07/27 04:31:24 - mmengine - INFO - Epoch(train) [27][3080/3757] lr: 9.4940e-03 eta: 2 days, 14:55:34 time: 0.3925 data_time: 0.0165 memory: 17007 grad_norm: 5.2260 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9007 loss: 2.9007 2022/07/27 04:31:32 - mmengine - INFO - Epoch(train) [27][3100/3757] lr: 9.4940e-03 eta: 2 days, 14:55:26 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 5.1606 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7136 loss: 2.7136 2022/07/27 04:31:40 - mmengine - INFO - Epoch(train) [27][3120/3757] lr: 9.4940e-03 eta: 2 days, 14:55:18 time: 0.3926 data_time: 0.0175 memory: 17007 grad_norm: 5.1603 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0725 loss: 3.0725 2022/07/27 04:31:48 - mmengine - INFO - Epoch(train) [27][3140/3757] lr: 9.4940e-03 eta: 2 days, 14:55:10 time: 0.3907 data_time: 0.0142 memory: 17007 grad_norm: 4.9845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8123 loss: 2.8123 2022/07/27 04:31:56 - mmengine - INFO - Epoch(train) [27][3160/3757] lr: 9.4940e-03 eta: 2 days, 14:55:02 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 5.0670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9602 loss: 2.9602 2022/07/27 04:32:04 - mmengine - INFO - Epoch(train) [27][3180/3757] lr: 9.4940e-03 eta: 2 days, 14:54:54 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 5.3090 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6929 loss: 2.6929 2022/07/27 04:32:11 - mmengine - INFO - Epoch(train) [27][3200/3757] lr: 9.4940e-03 eta: 2 days, 14:54:46 time: 0.3964 data_time: 0.0158 memory: 17007 grad_norm: 5.1160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8027 loss: 2.8027 2022/07/27 04:32:19 - mmengine - INFO - Epoch(train) [27][3220/3757] lr: 9.4940e-03 eta: 2 days, 14:54:38 time: 0.3924 data_time: 0.0141 memory: 17007 grad_norm: 5.2160 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6087 loss: 2.6087 2022/07/27 04:32:27 - mmengine - INFO - Epoch(train) [27][3240/3757] lr: 9.4940e-03 eta: 2 days, 14:54:30 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 5.1848 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8657 loss: 2.8657 2022/07/27 04:32:35 - mmengine - INFO - Epoch(train) [27][3260/3757] lr: 9.4940e-03 eta: 2 days, 14:54:22 time: 0.3913 data_time: 0.0148 memory: 17007 grad_norm: 5.1579 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8817 loss: 2.8817 2022/07/27 04:32:43 - mmengine - INFO - Epoch(train) [27][3280/3757] lr: 9.4940e-03 eta: 2 days, 14:54:14 time: 0.3944 data_time: 0.0170 memory: 17007 grad_norm: 5.1112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7281 loss: 2.7281 2022/07/27 04:32:51 - mmengine - INFO - Epoch(train) [27][3300/3757] lr: 9.4940e-03 eta: 2 days, 14:54:06 time: 0.3907 data_time: 0.0149 memory: 17007 grad_norm: 5.0945 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7784 loss: 2.7784 2022/07/27 04:32:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:32:59 - mmengine - INFO - Epoch(train) [27][3320/3757] lr: 9.4940e-03 eta: 2 days, 14:53:58 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.0601 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8080 loss: 2.8080 2022/07/27 04:33:06 - mmengine - INFO - Epoch(train) [27][3340/3757] lr: 9.4940e-03 eta: 2 days, 14:53:50 time: 0.3933 data_time: 0.0168 memory: 17007 grad_norm: 5.1275 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8026 loss: 2.8026 2022/07/27 04:33:14 - mmengine - INFO - Epoch(train) [27][3360/3757] lr: 9.4940e-03 eta: 2 days, 14:53:43 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 5.2837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9984 loss: 2.9984 2022/07/27 04:33:22 - mmengine - INFO - Epoch(train) [27][3380/3757] lr: 9.4940e-03 eta: 2 days, 14:53:35 time: 0.3941 data_time: 0.0169 memory: 17007 grad_norm: 5.0974 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7434 loss: 2.7434 2022/07/27 04:33:30 - mmengine - INFO - Epoch(train) [27][3400/3757] lr: 9.4940e-03 eta: 2 days, 14:53:27 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 5.1057 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9463 loss: 2.9463 2022/07/27 04:33:38 - mmengine - INFO - Epoch(train) [27][3420/3757] lr: 9.4940e-03 eta: 2 days, 14:53:19 time: 0.3927 data_time: 0.0156 memory: 17007 grad_norm: 5.2168 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9602 loss: 2.9602 2022/07/27 04:33:46 - mmengine - INFO - Epoch(train) [27][3440/3757] lr: 9.4940e-03 eta: 2 days, 14:53:12 time: 0.3980 data_time: 0.0164 memory: 17007 grad_norm: 5.1986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8085 loss: 2.8085 2022/07/27 04:33:54 - mmengine - INFO - Epoch(train) [27][3460/3757] lr: 9.4940e-03 eta: 2 days, 14:53:04 time: 0.3913 data_time: 0.0147 memory: 17007 grad_norm: 5.0817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6959 loss: 2.6959 2022/07/27 04:34:02 - mmengine - INFO - Epoch(train) [27][3480/3757] lr: 9.4940e-03 eta: 2 days, 14:52:56 time: 0.3930 data_time: 0.0181 memory: 17007 grad_norm: 5.0904 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9334 loss: 2.9334 2022/07/27 04:34:09 - mmengine - INFO - Epoch(train) [27][3500/3757] lr: 9.4940e-03 eta: 2 days, 14:52:48 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 5.2745 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9004 loss: 2.9004 2022/07/27 04:34:17 - mmengine - INFO - Epoch(train) [27][3520/3757] lr: 9.4940e-03 eta: 2 days, 14:52:40 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 5.1820 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7335 loss: 2.7335 2022/07/27 04:34:25 - mmengine - INFO - Epoch(train) [27][3540/3757] lr: 9.4940e-03 eta: 2 days, 14:52:32 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 5.0775 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8095 loss: 2.8095 2022/07/27 04:34:33 - mmengine - INFO - Epoch(train) [27][3560/3757] lr: 9.4940e-03 eta: 2 days, 14:52:25 time: 0.4041 data_time: 0.0159 memory: 17007 grad_norm: 5.1065 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7647 loss: 2.7647 2022/07/27 04:34:41 - mmengine - INFO - Epoch(train) [27][3580/3757] lr: 9.4940e-03 eta: 2 days, 14:52:17 time: 0.3913 data_time: 0.0163 memory: 17007 grad_norm: 5.1600 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9495 loss: 2.9495 2022/07/27 04:34:49 - mmengine - INFO - Epoch(train) [27][3600/3757] lr: 9.4940e-03 eta: 2 days, 14:52:10 time: 0.3983 data_time: 0.0160 memory: 17007 grad_norm: 5.1100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8518 loss: 2.8518 2022/07/27 04:34:57 - mmengine - INFO - Epoch(train) [27][3620/3757] lr: 9.4940e-03 eta: 2 days, 14:52:01 time: 0.3912 data_time: 0.0151 memory: 17007 grad_norm: 5.1229 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2368 loss: 3.2368 2022/07/27 04:35:05 - mmengine - INFO - Epoch(train) [27][3640/3757] lr: 9.4940e-03 eta: 2 days, 14:51:53 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.0240 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6952 loss: 2.6952 2022/07/27 04:35:13 - mmengine - INFO - Epoch(train) [27][3660/3757] lr: 9.4940e-03 eta: 2 days, 14:51:46 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 5.0774 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8813 loss: 2.8813 2022/07/27 04:35:20 - mmengine - INFO - Epoch(train) [27][3680/3757] lr: 9.4940e-03 eta: 2 days, 14:51:38 time: 0.3936 data_time: 0.0170 memory: 17007 grad_norm: 5.1721 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9304 loss: 2.9304 2022/07/27 04:35:28 - mmengine - INFO - Epoch(train) [27][3700/3757] lr: 9.4940e-03 eta: 2 days, 14:51:30 time: 0.3921 data_time: 0.0149 memory: 17007 grad_norm: 5.2612 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9364 loss: 2.9364 2022/07/27 04:35:36 - mmengine - INFO - Epoch(train) [27][3720/3757] lr: 9.4940e-03 eta: 2 days, 14:51:22 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 5.2264 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6926 loss: 2.6926 2022/07/27 04:35:44 - mmengine - INFO - Epoch(train) [27][3740/3757] lr: 9.4940e-03 eta: 2 days, 14:51:14 time: 0.3937 data_time: 0.0144 memory: 17007 grad_norm: 5.0602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0372 loss: 3.0372 2022/07/27 04:35:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:35:51 - mmengine - INFO - Epoch(train) [27][3757/3757] lr: 9.4940e-03 eta: 2 days, 14:51:14 time: 0.4027 data_time: 0.0173 memory: 17007 grad_norm: 5.2709 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.8433 loss: 2.8433 2022/07/27 04:35:51 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/07/27 04:36:02 - mmengine - INFO - Epoch(train) [28][20/3757] lr: 9.4550e-03 eta: 2 days, 14:50:28 time: 0.4577 data_time: 0.0792 memory: 17007 grad_norm: 5.0105 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9869 loss: 2.9869 2022/07/27 04:36:10 - mmengine - INFO - Epoch(train) [28][40/3757] lr: 9.4550e-03 eta: 2 days, 14:50:20 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 4.9836 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7458 loss: 2.7458 2022/07/27 04:36:18 - mmengine - INFO - Epoch(train) [28][60/3757] lr: 9.4550e-03 eta: 2 days, 14:50:12 time: 0.3904 data_time: 0.0148 memory: 17007 grad_norm: 5.1242 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9203 loss: 2.9203 2022/07/27 04:36:26 - mmengine - INFO - Epoch(train) [28][80/3757] lr: 9.4550e-03 eta: 2 days, 14:50:04 time: 0.3923 data_time: 0.0162 memory: 17007 grad_norm: 5.1537 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6903 loss: 2.6903 2022/07/27 04:36:34 - mmengine - INFO - Epoch(train) [28][100/3757] lr: 9.4550e-03 eta: 2 days, 14:49:57 time: 0.3957 data_time: 0.0148 memory: 17007 grad_norm: 4.9816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6367 loss: 2.6367 2022/07/27 04:36:42 - mmengine - INFO - Epoch(train) [28][120/3757] lr: 9.4550e-03 eta: 2 days, 14:49:49 time: 0.3946 data_time: 0.0184 memory: 17007 grad_norm: 5.1787 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8955 loss: 2.8955 2022/07/27 04:36:50 - mmengine - INFO - Epoch(train) [28][140/3757] lr: 9.4550e-03 eta: 2 days, 14:49:41 time: 0.3980 data_time: 0.0160 memory: 17007 grad_norm: 5.1603 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6466 loss: 2.6466 2022/07/27 04:36:57 - mmengine - INFO - Epoch(train) [28][160/3757] lr: 9.4550e-03 eta: 2 days, 14:49:33 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 5.3510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7322 loss: 2.7322 2022/07/27 04:37:05 - mmengine - INFO - Epoch(train) [28][180/3757] lr: 9.4550e-03 eta: 2 days, 14:49:25 time: 0.3908 data_time: 0.0155 memory: 17007 grad_norm: 5.1894 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7178 loss: 2.7178 2022/07/27 04:37:13 - mmengine - INFO - Epoch(train) [28][200/3757] lr: 9.4550e-03 eta: 2 days, 14:49:18 time: 0.4018 data_time: 0.0150 memory: 17007 grad_norm: 5.1640 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0156 loss: 3.0156 2022/07/27 04:37:21 - mmengine - INFO - Epoch(train) [28][220/3757] lr: 9.4550e-03 eta: 2 days, 14:49:10 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 5.1483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7224 loss: 2.7224 2022/07/27 04:37:29 - mmengine - INFO - Epoch(train) [28][240/3757] lr: 9.4550e-03 eta: 2 days, 14:49:02 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 5.2079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7132 loss: 2.7132 2022/07/27 04:37:37 - mmengine - INFO - Epoch(train) [28][260/3757] lr: 9.4550e-03 eta: 2 days, 14:48:55 time: 0.3950 data_time: 0.0134 memory: 17007 grad_norm: 5.1772 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8287 loss: 2.8287 2022/07/27 04:37:45 - mmengine - INFO - Epoch(train) [28][280/3757] lr: 9.4550e-03 eta: 2 days, 14:48:47 time: 0.3939 data_time: 0.0162 memory: 17007 grad_norm: 5.0476 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8261 loss: 2.8261 2022/07/27 04:37:53 - mmengine - INFO - Epoch(train) [28][300/3757] lr: 9.4550e-03 eta: 2 days, 14:48:40 time: 0.3989 data_time: 0.0154 memory: 17007 grad_norm: 5.1483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9094 loss: 2.9094 2022/07/27 04:38:01 - mmengine - INFO - Epoch(train) [28][320/3757] lr: 9.4550e-03 eta: 2 days, 14:48:32 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 5.1672 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9070 loss: 2.9070 2022/07/27 04:38:08 - mmengine - INFO - Epoch(train) [28][340/3757] lr: 9.4550e-03 eta: 2 days, 14:48:23 time: 0.3904 data_time: 0.0160 memory: 17007 grad_norm: 5.0459 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9179 loss: 2.9179 2022/07/27 04:38:17 - mmengine - INFO - Epoch(train) [28][360/3757] lr: 9.4550e-03 eta: 2 days, 14:48:17 time: 0.4067 data_time: 0.0170 memory: 17007 grad_norm: 5.0502 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.1053 loss: 3.1053 2022/07/27 04:38:24 - mmengine - INFO - Epoch(train) [28][380/3757] lr: 9.4550e-03 eta: 2 days, 14:48:09 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.0122 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6800 loss: 2.6800 2022/07/27 04:38:33 - mmengine - INFO - Epoch(train) [28][400/3757] lr: 9.4550e-03 eta: 2 days, 14:48:02 time: 0.4022 data_time: 0.0159 memory: 17007 grad_norm: 5.2129 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6624 loss: 2.6624 2022/07/27 04:38:40 - mmengine - INFO - Epoch(train) [28][420/3757] lr: 9.4550e-03 eta: 2 days, 14:47:54 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 5.0389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6103 loss: 2.6103 2022/07/27 04:38:48 - mmengine - INFO - Epoch(train) [28][440/3757] lr: 9.4550e-03 eta: 2 days, 14:47:46 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 5.0284 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9053 loss: 2.9053 2022/07/27 04:38:56 - mmengine - INFO - Epoch(train) [28][460/3757] lr: 9.4550e-03 eta: 2 days, 14:47:38 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 5.2417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0484 loss: 3.0484 2022/07/27 04:39:04 - mmengine - INFO - Epoch(train) [28][480/3757] lr: 9.4550e-03 eta: 2 days, 14:47:30 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 5.0200 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6730 loss: 2.6730 2022/07/27 04:39:12 - mmengine - INFO - Epoch(train) [28][500/3757] lr: 9.4550e-03 eta: 2 days, 14:47:22 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.1086 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6262 loss: 2.6262 2022/07/27 04:39:20 - mmengine - INFO - Epoch(train) [28][520/3757] lr: 9.4550e-03 eta: 2 days, 14:47:14 time: 0.3922 data_time: 0.0159 memory: 17007 grad_norm: 5.2639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6866 loss: 2.6866 2022/07/27 04:39:27 - mmengine - INFO - Epoch(train) [28][540/3757] lr: 9.4550e-03 eta: 2 days, 14:47:06 time: 0.3904 data_time: 0.0153 memory: 17007 grad_norm: 5.1563 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4705 loss: 2.4705 2022/07/27 04:39:36 - mmengine - INFO - Epoch(train) [28][560/3757] lr: 9.4550e-03 eta: 2 days, 14:46:59 time: 0.4029 data_time: 0.0169 memory: 17007 grad_norm: 5.2287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8757 loss: 2.8757 2022/07/27 04:39:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:39:43 - mmengine - INFO - Epoch(train) [28][580/3757] lr: 9.4550e-03 eta: 2 days, 14:46:51 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.2030 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5079 loss: 2.5079 2022/07/27 04:39:51 - mmengine - INFO - Epoch(train) [28][600/3757] lr: 9.4550e-03 eta: 2 days, 14:46:43 time: 0.3957 data_time: 0.0168 memory: 17007 grad_norm: 5.1666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7238 loss: 2.7238 2022/07/27 04:39:59 - mmengine - INFO - Epoch(train) [28][620/3757] lr: 9.4550e-03 eta: 2 days, 14:46:35 time: 0.3919 data_time: 0.0144 memory: 17007 grad_norm: 5.2304 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6145 loss: 2.6145 2022/07/27 04:40:07 - mmengine - INFO - Epoch(train) [28][640/3757] lr: 9.4550e-03 eta: 2 days, 14:46:27 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 5.1715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8539 loss: 2.8539 2022/07/27 04:40:15 - mmengine - INFO - Epoch(train) [28][660/3757] lr: 9.4550e-03 eta: 2 days, 14:46:20 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 5.1120 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5952 loss: 2.5952 2022/07/27 04:40:23 - mmengine - INFO - Epoch(train) [28][680/3757] lr: 9.4550e-03 eta: 2 days, 14:46:12 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.1097 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7533 loss: 2.7533 2022/07/27 04:40:31 - mmengine - INFO - Epoch(train) [28][700/3757] lr: 9.4550e-03 eta: 2 days, 14:46:04 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 5.0718 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7361 loss: 2.7361 2022/07/27 04:40:39 - mmengine - INFO - Epoch(train) [28][720/3757] lr: 9.4550e-03 eta: 2 days, 14:45:56 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 5.1042 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7505 loss: 2.7505 2022/07/27 04:40:46 - mmengine - INFO - Epoch(train) [28][740/3757] lr: 9.4550e-03 eta: 2 days, 14:45:48 time: 0.3921 data_time: 0.0149 memory: 17007 grad_norm: 5.0166 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6885 loss: 2.6885 2022/07/27 04:40:54 - mmengine - INFO - Epoch(train) [28][760/3757] lr: 9.4550e-03 eta: 2 days, 14:45:40 time: 0.3959 data_time: 0.0172 memory: 17007 grad_norm: 5.1647 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9723 loss: 2.9723 2022/07/27 04:41:02 - mmengine - INFO - Epoch(train) [28][780/3757] lr: 9.4550e-03 eta: 2 days, 14:45:32 time: 0.3916 data_time: 0.0143 memory: 17007 grad_norm: 5.0929 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6728 loss: 2.6728 2022/07/27 04:41:10 - mmengine - INFO - Epoch(train) [28][800/3757] lr: 9.4550e-03 eta: 2 days, 14:45:26 time: 0.4058 data_time: 0.0164 memory: 17007 grad_norm: 5.2623 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7513 loss: 2.7513 2022/07/27 04:41:18 - mmengine - INFO - Epoch(train) [28][820/3757] lr: 9.4550e-03 eta: 2 days, 14:45:18 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.2898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5830 loss: 2.5830 2022/07/27 04:41:26 - mmengine - INFO - Epoch(train) [28][840/3757] lr: 9.4550e-03 eta: 2 days, 14:45:10 time: 0.3934 data_time: 0.0163 memory: 17007 grad_norm: 5.1844 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7713 loss: 2.7713 2022/07/27 04:41:34 - mmengine - INFO - Epoch(train) [28][860/3757] lr: 9.4550e-03 eta: 2 days, 14:45:04 time: 0.4072 data_time: 0.0160 memory: 17007 grad_norm: 5.0973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9560 loss: 2.9560 2022/07/27 04:41:42 - mmengine - INFO - Epoch(train) [28][880/3757] lr: 9.4550e-03 eta: 2 days, 14:44:55 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 5.2282 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8944 loss: 2.8944 2022/07/27 04:41:50 - mmengine - INFO - Epoch(train) [28][900/3757] lr: 9.4550e-03 eta: 2 days, 14:44:47 time: 0.3921 data_time: 0.0141 memory: 17007 grad_norm: 5.3400 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.1749 loss: 3.1749 2022/07/27 04:41:58 - mmengine - INFO - Epoch(train) [28][920/3757] lr: 9.4550e-03 eta: 2 days, 14:44:39 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.3741 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8071 loss: 2.8071 2022/07/27 04:42:05 - mmengine - INFO - Epoch(train) [28][940/3757] lr: 9.4550e-03 eta: 2 days, 14:44:31 time: 0.3905 data_time: 0.0142 memory: 17007 grad_norm: 5.3445 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8705 loss: 2.8705 2022/07/27 04:42:13 - mmengine - INFO - Epoch(train) [28][960/3757] lr: 9.4550e-03 eta: 2 days, 14:44:23 time: 0.3936 data_time: 0.0164 memory: 17007 grad_norm: 5.1432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6075 loss: 2.6075 2022/07/27 04:42:21 - mmengine - INFO - Epoch(train) [28][980/3757] lr: 9.4550e-03 eta: 2 days, 14:44:15 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.2457 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7769 loss: 2.7769 2022/07/27 04:42:29 - mmengine - INFO - Epoch(train) [28][1000/3757] lr: 9.4550e-03 eta: 2 days, 14:44:07 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 5.1938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5553 loss: 2.5553 2022/07/27 04:42:37 - mmengine - INFO - Epoch(train) [28][1020/3757] lr: 9.4550e-03 eta: 2 days, 14:43:59 time: 0.3924 data_time: 0.0176 memory: 17007 grad_norm: 5.2623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6888 loss: 2.6888 2022/07/27 04:42:45 - mmengine - INFO - Epoch(train) [28][1040/3757] lr: 9.4550e-03 eta: 2 days, 14:43:52 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 5.0990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4830 loss: 2.4830 2022/07/27 04:42:53 - mmengine - INFO - Epoch(train) [28][1060/3757] lr: 9.4550e-03 eta: 2 days, 14:43:44 time: 0.3982 data_time: 0.0161 memory: 17007 grad_norm: 5.0824 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9334 loss: 2.9334 2022/07/27 04:43:01 - mmengine - INFO - Epoch(train) [28][1080/3757] lr: 9.4550e-03 eta: 2 days, 14:43:36 time: 0.3922 data_time: 0.0163 memory: 17007 grad_norm: 5.2621 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9622 loss: 2.9622 2022/07/27 04:43:08 - mmengine - INFO - Epoch(train) [28][1100/3757] lr: 9.4550e-03 eta: 2 days, 14:43:28 time: 0.3909 data_time: 0.0152 memory: 17007 grad_norm: 5.0836 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7145 loss: 2.7145 2022/07/27 04:43:16 - mmengine - INFO - Epoch(train) [28][1120/3757] lr: 9.4550e-03 eta: 2 days, 14:43:21 time: 0.4002 data_time: 0.0173 memory: 17007 grad_norm: 5.2409 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9939 loss: 2.9939 2022/07/27 04:43:24 - mmengine - INFO - Epoch(train) [28][1140/3757] lr: 9.4550e-03 eta: 2 days, 14:43:13 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 5.1466 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6256 loss: 2.6256 2022/07/27 04:43:32 - mmengine - INFO - Epoch(train) [28][1160/3757] lr: 9.4550e-03 eta: 2 days, 14:43:05 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 5.3200 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7256 loss: 2.7256 2022/07/27 04:43:40 - mmengine - INFO - Epoch(train) [28][1180/3757] lr: 9.4550e-03 eta: 2 days, 14:42:57 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 5.0532 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8649 loss: 2.8649 2022/07/27 04:43:48 - mmengine - INFO - Epoch(train) [28][1200/3757] lr: 9.4550e-03 eta: 2 days, 14:42:49 time: 0.3918 data_time: 0.0154 memory: 17007 grad_norm: 5.1506 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7351 loss: 2.7351 2022/07/27 04:43:56 - mmengine - INFO - Epoch(train) [28][1220/3757] lr: 9.4550e-03 eta: 2 days, 14:42:43 time: 0.4100 data_time: 0.0160 memory: 17007 grad_norm: 6.1576 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7503 loss: 2.7503 2022/07/27 04:44:04 - mmengine - INFO - Epoch(train) [28][1240/3757] lr: 9.4550e-03 eta: 2 days, 14:42:35 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 5.3593 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7731 loss: 2.7731 2022/07/27 04:44:12 - mmengine - INFO - Epoch(train) [28][1260/3757] lr: 9.4550e-03 eta: 2 days, 14:42:27 time: 0.3947 data_time: 0.0166 memory: 17007 grad_norm: 5.3524 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8194 loss: 2.8194 2022/07/27 04:44:20 - mmengine - INFO - Epoch(train) [28][1280/3757] lr: 9.4550e-03 eta: 2 days, 14:42:19 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 5.2310 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6581 loss: 2.6581 2022/07/27 04:44:28 - mmengine - INFO - Epoch(train) [28][1300/3757] lr: 9.4550e-03 eta: 2 days, 14:42:11 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 5.1782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8929 loss: 2.8929 2022/07/27 04:44:36 - mmengine - INFO - Epoch(train) [28][1320/3757] lr: 9.4550e-03 eta: 2 days, 14:42:05 time: 0.4043 data_time: 0.0175 memory: 17007 grad_norm: 5.4050 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7385 loss: 2.7385 2022/07/27 04:44:43 - mmengine - INFO - Epoch(train) [28][1340/3757] lr: 9.4550e-03 eta: 2 days, 14:41:57 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.2320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7869 loss: 2.7869 2022/07/27 04:44:51 - mmengine - INFO - Epoch(train) [28][1360/3757] lr: 9.4550e-03 eta: 2 days, 14:41:49 time: 0.3950 data_time: 0.0161 memory: 17007 grad_norm: 5.2374 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6571 loss: 2.6571 2022/07/27 04:44:59 - mmengine - INFO - Epoch(train) [28][1380/3757] lr: 9.4550e-03 eta: 2 days, 14:41:41 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 5.2469 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5332 loss: 2.5332 2022/07/27 04:45:07 - mmengine - INFO - Epoch(train) [28][1400/3757] lr: 9.4550e-03 eta: 2 days, 14:41:33 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 5.1708 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4301 loss: 2.4301 2022/07/27 04:45:15 - mmengine - INFO - Epoch(train) [28][1420/3757] lr: 9.4550e-03 eta: 2 days, 14:41:25 time: 0.3926 data_time: 0.0151 memory: 17007 grad_norm: 5.2966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7569 loss: 2.7569 2022/07/27 04:45:23 - mmengine - INFO - Epoch(train) [28][1440/3757] lr: 9.4550e-03 eta: 2 days, 14:41:17 time: 0.3943 data_time: 0.0178 memory: 17007 grad_norm: 5.2865 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9280 loss: 2.9280 2022/07/27 04:45:31 - mmengine - INFO - Epoch(train) [28][1460/3757] lr: 9.4550e-03 eta: 2 days, 14:41:09 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 5.1496 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9674 loss: 2.9674 2022/07/27 04:45:38 - mmengine - INFO - Epoch(train) [28][1480/3757] lr: 9.4550e-03 eta: 2 days, 14:41:01 time: 0.3918 data_time: 0.0161 memory: 17007 grad_norm: 5.1644 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0745 loss: 3.0745 2022/07/27 04:45:46 - mmengine - INFO - Epoch(train) [28][1500/3757] lr: 9.4550e-03 eta: 2 days, 14:40:53 time: 0.3923 data_time: 0.0161 memory: 17007 grad_norm: 5.0331 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6444 loss: 2.6444 2022/07/27 04:45:54 - mmengine - INFO - Epoch(train) [28][1520/3757] lr: 9.4550e-03 eta: 2 days, 14:40:45 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 5.2481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8248 loss: 2.8248 2022/07/27 04:46:02 - mmengine - INFO - Epoch(train) [28][1540/3757] lr: 9.4550e-03 eta: 2 days, 14:40:38 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.2845 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5456 loss: 2.5456 2022/07/27 04:46:10 - mmengine - INFO - Epoch(train) [28][1560/3757] lr: 9.4550e-03 eta: 2 days, 14:40:30 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 5.2642 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0083 loss: 3.0083 2022/07/27 04:46:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:46:18 - mmengine - INFO - Epoch(train) [28][1580/3757] lr: 9.4550e-03 eta: 2 days, 14:40:22 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 5.1253 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8638 loss: 2.8638 2022/07/27 04:46:26 - mmengine - INFO - Epoch(train) [28][1600/3757] lr: 9.4550e-03 eta: 2 days, 14:40:14 time: 0.3936 data_time: 0.0163 memory: 17007 grad_norm: 5.1699 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9556 loss: 2.9556 2022/07/27 04:46:34 - mmengine - INFO - Epoch(train) [28][1620/3757] lr: 9.4550e-03 eta: 2 days, 14:40:06 time: 0.3919 data_time: 0.0158 memory: 17007 grad_norm: 5.4622 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0782 loss: 3.0782 2022/07/27 04:46:41 - mmengine - INFO - Epoch(train) [28][1640/3757] lr: 9.4550e-03 eta: 2 days, 14:39:58 time: 0.3941 data_time: 0.0170 memory: 17007 grad_norm: 5.4248 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6137 loss: 2.6137 2022/07/27 04:46:49 - mmengine - INFO - Epoch(train) [28][1660/3757] lr: 9.4550e-03 eta: 2 days, 14:39:50 time: 0.3924 data_time: 0.0151 memory: 17007 grad_norm: 5.2677 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9978 loss: 2.9978 2022/07/27 04:46:57 - mmengine - INFO - Epoch(train) [28][1680/3757] lr: 9.4550e-03 eta: 2 days, 14:39:43 time: 0.4019 data_time: 0.0161 memory: 17007 grad_norm: 5.2152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5200 loss: 2.5200 2022/07/27 04:47:05 - mmengine - INFO - Epoch(train) [28][1700/3757] lr: 9.4550e-03 eta: 2 days, 14:39:35 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 5.1593 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9004 loss: 2.9004 2022/07/27 04:47:13 - mmengine - INFO - Epoch(train) [28][1720/3757] lr: 9.4550e-03 eta: 2 days, 14:39:27 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 5.0114 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5041 loss: 2.5041 2022/07/27 04:47:21 - mmengine - INFO - Epoch(train) [28][1740/3757] lr: 9.4550e-03 eta: 2 days, 14:39:19 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.1473 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0209 loss: 3.0209 2022/07/27 04:47:29 - mmengine - INFO - Epoch(train) [28][1760/3757] lr: 9.4550e-03 eta: 2 days, 14:39:11 time: 0.3921 data_time: 0.0164 memory: 17007 grad_norm: 5.2293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8542 loss: 2.8542 2022/07/27 04:47:37 - mmengine - INFO - Epoch(train) [28][1780/3757] lr: 9.4550e-03 eta: 2 days, 14:39:04 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 5.1557 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8768 loss: 2.8768 2022/07/27 04:47:45 - mmengine - INFO - Epoch(train) [28][1800/3757] lr: 9.4550e-03 eta: 2 days, 14:38:56 time: 0.3942 data_time: 0.0176 memory: 17007 grad_norm: 5.2421 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0792 loss: 3.0792 2022/07/27 04:47:52 - mmengine - INFO - Epoch(train) [28][1820/3757] lr: 9.4550e-03 eta: 2 days, 14:38:48 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 5.1179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7207 loss: 2.7207 2022/07/27 04:48:00 - mmengine - INFO - Epoch(train) [28][1840/3757] lr: 9.4550e-03 eta: 2 days, 14:38:40 time: 0.3917 data_time: 0.0161 memory: 17007 grad_norm: 5.1771 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7080 loss: 2.7080 2022/07/27 04:48:08 - mmengine - INFO - Epoch(train) [28][1860/3757] lr: 9.4550e-03 eta: 2 days, 14:38:32 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 5.1927 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6071 loss: 2.6071 2022/07/27 04:48:16 - mmengine - INFO - Epoch(train) [28][1880/3757] lr: 9.4550e-03 eta: 2 days, 14:38:24 time: 0.3925 data_time: 0.0163 memory: 17007 grad_norm: 5.3037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2115 loss: 3.2115 2022/07/27 04:48:24 - mmengine - INFO - Epoch(train) [28][1900/3757] lr: 9.4550e-03 eta: 2 days, 14:38:16 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 5.1750 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9040 loss: 2.9040 2022/07/27 04:48:32 - mmengine - INFO - Epoch(train) [28][1920/3757] lr: 9.4550e-03 eta: 2 days, 14:38:09 time: 0.3978 data_time: 0.0157 memory: 17007 grad_norm: 5.3206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7665 loss: 2.7665 2022/07/27 04:48:40 - mmengine - INFO - Epoch(train) [28][1940/3757] lr: 9.4550e-03 eta: 2 days, 14:38:01 time: 0.3918 data_time: 0.0146 memory: 17007 grad_norm: 5.2619 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7148 loss: 2.7148 2022/07/27 04:48:48 - mmengine - INFO - Epoch(train) [28][1960/3757] lr: 9.4550e-03 eta: 2 days, 14:37:53 time: 0.3945 data_time: 0.0167 memory: 17007 grad_norm: 5.1981 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6956 loss: 2.6956 2022/07/27 04:48:55 - mmengine - INFO - Epoch(train) [28][1980/3757] lr: 9.4550e-03 eta: 2 days, 14:37:45 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 5.2354 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0925 loss: 3.0925 2022/07/27 04:49:04 - mmengine - INFO - Epoch(train) [28][2000/3757] lr: 9.4550e-03 eta: 2 days, 14:37:39 time: 0.4098 data_time: 0.0178 memory: 17007 grad_norm: 5.1506 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6379 loss: 2.6379 2022/07/27 04:49:12 - mmengine - INFO - Epoch(train) [28][2020/3757] lr: 9.4550e-03 eta: 2 days, 14:37:31 time: 0.3958 data_time: 0.0165 memory: 17007 grad_norm: 5.2288 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8406 loss: 2.8406 2022/07/27 04:49:19 - mmengine - INFO - Epoch(train) [28][2040/3757] lr: 9.4550e-03 eta: 2 days, 14:37:23 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 5.3015 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7459 loss: 2.7459 2022/07/27 04:49:27 - mmengine - INFO - Epoch(train) [28][2060/3757] lr: 9.4550e-03 eta: 2 days, 14:37:16 time: 0.4016 data_time: 0.0154 memory: 17007 grad_norm: 5.2069 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8211 loss: 2.8211 2022/07/27 04:49:35 - mmengine - INFO - Epoch(train) [28][2080/3757] lr: 9.4550e-03 eta: 2 days, 14:37:08 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 5.2716 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7727 loss: 2.7727 2022/07/27 04:49:43 - mmengine - INFO - Epoch(train) [28][2100/3757] lr: 9.4550e-03 eta: 2 days, 14:37:00 time: 0.3947 data_time: 0.0150 memory: 17007 grad_norm: 5.1369 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1323 loss: 3.1323 2022/07/27 04:49:51 - mmengine - INFO - Epoch(train) [28][2120/3757] lr: 9.4550e-03 eta: 2 days, 14:36:53 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 5.2041 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5854 loss: 2.5854 2022/07/27 04:49:59 - mmengine - INFO - Epoch(train) [28][2140/3757] lr: 9.4550e-03 eta: 2 days, 14:36:45 time: 0.3917 data_time: 0.0155 memory: 17007 grad_norm: 4.9815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4082 loss: 2.4082 2022/07/27 04:50:07 - mmengine - INFO - Epoch(train) [28][2160/3757] lr: 9.4550e-03 eta: 2 days, 14:36:37 time: 0.3939 data_time: 0.0162 memory: 17007 grad_norm: 5.2387 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6978 loss: 2.6978 2022/07/27 04:50:15 - mmengine - INFO - Epoch(train) [28][2180/3757] lr: 9.4550e-03 eta: 2 days, 14:36:29 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 5.0400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3933 loss: 2.3933 2022/07/27 04:50:23 - mmengine - INFO - Epoch(train) [28][2200/3757] lr: 9.4550e-03 eta: 2 days, 14:36:21 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 5.2341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8397 loss: 2.8397 2022/07/27 04:50:30 - mmengine - INFO - Epoch(train) [28][2220/3757] lr: 9.4550e-03 eta: 2 days, 14:36:13 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 5.1892 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7591 loss: 2.7591 2022/07/27 04:50:38 - mmengine - INFO - Epoch(train) [28][2240/3757] lr: 9.4550e-03 eta: 2 days, 14:36:05 time: 0.3926 data_time: 0.0168 memory: 17007 grad_norm: 5.2681 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6599 loss: 2.6599 2022/07/27 04:50:46 - mmengine - INFO - Epoch(train) [28][2260/3757] lr: 9.4550e-03 eta: 2 days, 14:35:57 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 5.2861 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4835 loss: 2.4835 2022/07/27 04:50:54 - mmengine - INFO - Epoch(train) [28][2280/3757] lr: 9.4550e-03 eta: 2 days, 14:35:49 time: 0.3939 data_time: 0.0172 memory: 17007 grad_norm: 5.2953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9607 loss: 2.9607 2022/07/27 04:51:02 - mmengine - INFO - Epoch(train) [28][2300/3757] lr: 9.4550e-03 eta: 2 days, 14:35:41 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 5.3459 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0220 loss: 3.0220 2022/07/27 04:51:10 - mmengine - INFO - Epoch(train) [28][2320/3757] lr: 9.4550e-03 eta: 2 days, 14:35:33 time: 0.3922 data_time: 0.0164 memory: 17007 grad_norm: 5.1022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8200 loss: 2.8200 2022/07/27 04:51:18 - mmengine - INFO - Epoch(train) [28][2340/3757] lr: 9.4550e-03 eta: 2 days, 14:35:25 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 5.1488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6359 loss: 2.6359 2022/07/27 04:51:26 - mmengine - INFO - Epoch(train) [28][2360/3757] lr: 9.4550e-03 eta: 2 days, 14:35:19 time: 0.4076 data_time: 0.0182 memory: 17007 grad_norm: 5.1998 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7826 loss: 2.7826 2022/07/27 04:51:34 - mmengine - INFO - Epoch(train) [28][2380/3757] lr: 9.4550e-03 eta: 2 days, 14:35:11 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 5.1548 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6683 loss: 2.6683 2022/07/27 04:51:41 - mmengine - INFO - Epoch(train) [28][2400/3757] lr: 9.4550e-03 eta: 2 days, 14:35:03 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 4.9893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3544 loss: 2.3544 2022/07/27 04:51:49 - mmengine - INFO - Epoch(train) [28][2420/3757] lr: 9.4550e-03 eta: 2 days, 14:34:55 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 5.2636 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6805 loss: 2.6805 2022/07/27 04:51:57 - mmengine - INFO - Epoch(train) [28][2440/3757] lr: 9.4550e-03 eta: 2 days, 14:34:47 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 5.2709 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8451 loss: 2.8451 2022/07/27 04:52:05 - mmengine - INFO - Epoch(train) [28][2460/3757] lr: 9.4550e-03 eta: 2 days, 14:34:39 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 5.1346 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8167 loss: 2.8167 2022/07/27 04:52:13 - mmengine - INFO - Epoch(train) [28][2480/3757] lr: 9.4550e-03 eta: 2 days, 14:34:31 time: 0.3950 data_time: 0.0168 memory: 17007 grad_norm: 5.2673 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7366 loss: 2.7366 2022/07/27 04:52:21 - mmengine - INFO - Epoch(train) [28][2500/3757] lr: 9.4550e-03 eta: 2 days, 14:34:23 time: 0.3920 data_time: 0.0145 memory: 17007 grad_norm: 5.1537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5880 loss: 2.5880 2022/07/27 04:52:29 - mmengine - INFO - Epoch(train) [28][2520/3757] lr: 9.4550e-03 eta: 2 days, 14:34:15 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 5.1794 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5777 loss: 2.5777 2022/07/27 04:52:36 - mmengine - INFO - Epoch(train) [28][2540/3757] lr: 9.4550e-03 eta: 2 days, 14:34:07 time: 0.3923 data_time: 0.0163 memory: 17007 grad_norm: 5.1871 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5055 loss: 2.5055 2022/07/27 04:52:44 - mmengine - INFO - Epoch(train) [28][2560/3757] lr: 9.4550e-03 eta: 2 days, 14:33:59 time: 0.3927 data_time: 0.0163 memory: 17007 grad_norm: 5.2759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8744 loss: 2.8744 2022/07/27 04:52:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:52:52 - mmengine - INFO - Epoch(train) [28][2580/3757] lr: 9.4550e-03 eta: 2 days, 14:33:51 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.3051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8145 loss: 2.8145 2022/07/27 04:53:00 - mmengine - INFO - Epoch(train) [28][2600/3757] lr: 9.4550e-03 eta: 2 days, 14:33:43 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 5.1169 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5188 loss: 2.5188 2022/07/27 04:53:08 - mmengine - INFO - Epoch(train) [28][2620/3757] lr: 9.4550e-03 eta: 2 days, 14:33:36 time: 0.3953 data_time: 0.0166 memory: 17007 grad_norm: 5.1732 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5992 loss: 2.5992 2022/07/27 04:53:16 - mmengine - INFO - Epoch(train) [28][2640/3757] lr: 9.4550e-03 eta: 2 days, 14:33:28 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 5.2860 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6054 loss: 2.6054 2022/07/27 04:53:24 - mmengine - INFO - Epoch(train) [28][2660/3757] lr: 9.4550e-03 eta: 2 days, 14:33:20 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 5.3998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6905 loss: 2.6905 2022/07/27 04:53:32 - mmengine - INFO - Epoch(train) [28][2680/3757] lr: 9.4550e-03 eta: 2 days, 14:33:12 time: 0.3927 data_time: 0.0168 memory: 17007 grad_norm: 5.3506 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9957 loss: 2.9957 2022/07/27 04:53:39 - mmengine - INFO - Epoch(train) [28][2700/3757] lr: 9.4550e-03 eta: 2 days, 14:33:04 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.0103 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7166 loss: 2.7166 2022/07/27 04:53:47 - mmengine - INFO - Epoch(train) [28][2720/3757] lr: 9.4550e-03 eta: 2 days, 14:32:56 time: 0.3947 data_time: 0.0162 memory: 17007 grad_norm: 5.1048 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1883 loss: 3.1883 2022/07/27 04:53:55 - mmengine - INFO - Epoch(train) [28][2740/3757] lr: 9.4550e-03 eta: 2 days, 14:32:48 time: 0.3909 data_time: 0.0155 memory: 17007 grad_norm: 5.2439 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9623 loss: 2.9623 2022/07/27 04:54:03 - mmengine - INFO - Epoch(train) [28][2760/3757] lr: 9.4550e-03 eta: 2 days, 14:32:40 time: 0.3933 data_time: 0.0170 memory: 17007 grad_norm: 5.2613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5780 loss: 2.5780 2022/07/27 04:54:11 - mmengine - INFO - Epoch(train) [28][2780/3757] lr: 9.4550e-03 eta: 2 days, 14:32:32 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 5.2100 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9399 loss: 2.9399 2022/07/27 04:54:19 - mmengine - INFO - Epoch(train) [28][2800/3757] lr: 9.4550e-03 eta: 2 days, 14:32:24 time: 0.3918 data_time: 0.0155 memory: 17007 grad_norm: 5.3511 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8437 loss: 2.8437 2022/07/27 04:54:26 - mmengine - INFO - Epoch(train) [28][2820/3757] lr: 9.4550e-03 eta: 2 days, 14:32:16 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 5.0081 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5248 loss: 2.5248 2022/07/27 04:54:34 - mmengine - INFO - Epoch(train) [28][2840/3757] lr: 9.4550e-03 eta: 2 days, 14:32:08 time: 0.3931 data_time: 0.0167 memory: 17007 grad_norm: 5.0770 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1051 loss: 3.1051 2022/07/27 04:54:42 - mmengine - INFO - Epoch(train) [28][2860/3757] lr: 9.4550e-03 eta: 2 days, 14:32:00 time: 0.3931 data_time: 0.0162 memory: 17007 grad_norm: 5.1189 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6302 loss: 2.6302 2022/07/27 04:54:50 - mmengine - INFO - Epoch(train) [28][2880/3757] lr: 9.4550e-03 eta: 2 days, 14:31:52 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 5.0748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7282 loss: 2.7282 2022/07/27 04:54:58 - mmengine - INFO - Epoch(train) [28][2900/3757] lr: 9.4550e-03 eta: 2 days, 14:31:44 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 5.1804 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4574 loss: 2.4574 2022/07/27 04:55:06 - mmengine - INFO - Epoch(train) [28][2920/3757] lr: 9.4550e-03 eta: 2 days, 14:31:36 time: 0.3970 data_time: 0.0167 memory: 17007 grad_norm: 5.2272 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7657 loss: 2.7657 2022/07/27 04:55:14 - mmengine - INFO - Epoch(train) [28][2940/3757] lr: 9.4550e-03 eta: 2 days, 14:31:29 time: 0.3955 data_time: 0.0164 memory: 17007 grad_norm: 5.1368 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8442 loss: 2.8442 2022/07/27 04:55:22 - mmengine - INFO - Epoch(train) [28][2960/3757] lr: 9.4550e-03 eta: 2 days, 14:31:22 time: 0.4004 data_time: 0.0171 memory: 17007 grad_norm: 5.1799 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8299 loss: 2.8299 2022/07/27 04:55:30 - mmengine - INFO - Epoch(train) [28][2980/3757] lr: 9.4550e-03 eta: 2 days, 14:31:14 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 5.1428 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5194 loss: 2.5194 2022/07/27 04:55:38 - mmengine - INFO - Epoch(train) [28][3000/3757] lr: 9.4550e-03 eta: 2 days, 14:31:06 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 5.1160 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6970 loss: 2.6970 2022/07/27 04:55:46 - mmengine - INFO - Epoch(train) [28][3020/3757] lr: 9.4550e-03 eta: 2 days, 14:30:59 time: 0.4065 data_time: 0.0154 memory: 17007 grad_norm: 5.3019 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9205 loss: 2.9205 2022/07/27 04:55:53 - mmengine - INFO - Epoch(train) [28][3040/3757] lr: 9.4550e-03 eta: 2 days, 14:30:51 time: 0.3912 data_time: 0.0158 memory: 17007 grad_norm: 4.9965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6623 loss: 2.6623 2022/07/27 04:56:01 - mmengine - INFO - Epoch(train) [28][3060/3757] lr: 9.4550e-03 eta: 2 days, 14:30:44 time: 0.3967 data_time: 0.0149 memory: 17007 grad_norm: 5.1676 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7795 loss: 2.7795 2022/07/27 04:56:09 - mmengine - INFO - Epoch(train) [28][3080/3757] lr: 9.4550e-03 eta: 2 days, 14:30:36 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 5.0218 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7175 loss: 2.7175 2022/07/27 04:56:17 - mmengine - INFO - Epoch(train) [28][3100/3757] lr: 9.4550e-03 eta: 2 days, 14:30:28 time: 0.3917 data_time: 0.0146 memory: 17007 grad_norm: 5.2918 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6743 loss: 2.6743 2022/07/27 04:56:25 - mmengine - INFO - Epoch(train) [28][3120/3757] lr: 9.4550e-03 eta: 2 days, 14:30:20 time: 0.3981 data_time: 0.0158 memory: 17007 grad_norm: 5.0616 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6679 loss: 2.6679 2022/07/27 04:56:33 - mmengine - INFO - Epoch(train) [28][3140/3757] lr: 9.4550e-03 eta: 2 days, 14:30:12 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 4.9732 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9006 loss: 2.9006 2022/07/27 04:56:41 - mmengine - INFO - Epoch(train) [28][3160/3757] lr: 9.4550e-03 eta: 2 days, 14:30:04 time: 0.3908 data_time: 0.0162 memory: 17007 grad_norm: 5.2272 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8628 loss: 2.8628 2022/07/27 04:56:49 - mmengine - INFO - Epoch(train) [28][3180/3757] lr: 9.4550e-03 eta: 2 days, 14:29:57 time: 0.3974 data_time: 0.0159 memory: 17007 grad_norm: 5.1994 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0557 loss: 3.0557 2022/07/27 04:56:57 - mmengine - INFO - Epoch(train) [28][3200/3757] lr: 9.4550e-03 eta: 2 days, 14:29:48 time: 0.3921 data_time: 0.0163 memory: 17007 grad_norm: 5.1380 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6622 loss: 2.6622 2022/07/27 04:57:04 - mmengine - INFO - Epoch(train) [28][3220/3757] lr: 9.4550e-03 eta: 2 days, 14:29:41 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 5.2947 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0793 loss: 3.0793 2022/07/27 04:57:12 - mmengine - INFO - Epoch(train) [28][3240/3757] lr: 9.4550e-03 eta: 2 days, 14:29:33 time: 0.3933 data_time: 0.0167 memory: 17007 grad_norm: 5.1817 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6726 loss: 2.6726 2022/07/27 04:57:20 - mmengine - INFO - Epoch(train) [28][3260/3757] lr: 9.4550e-03 eta: 2 days, 14:29:25 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 5.2379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7804 loss: 2.7804 2022/07/27 04:57:28 - mmengine - INFO - Epoch(train) [28][3280/3757] lr: 9.4550e-03 eta: 2 days, 14:29:17 time: 0.3976 data_time: 0.0164 memory: 17007 grad_norm: 5.0379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6334 loss: 2.6334 2022/07/27 04:57:36 - mmengine - INFO - Epoch(train) [28][3300/3757] lr: 9.4550e-03 eta: 2 days, 14:29:09 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 5.1911 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7577 loss: 2.7577 2022/07/27 04:57:44 - mmengine - INFO - Epoch(train) [28][3320/3757] lr: 9.4550e-03 eta: 2 days, 14:29:02 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 5.2084 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7403 loss: 2.7403 2022/07/27 04:57:52 - mmengine - INFO - Epoch(train) [28][3340/3757] lr: 9.4550e-03 eta: 2 days, 14:28:54 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.2155 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5677 loss: 2.5677 2022/07/27 04:58:00 - mmengine - INFO - Epoch(train) [28][3360/3757] lr: 9.4550e-03 eta: 2 days, 14:28:46 time: 0.3915 data_time: 0.0158 memory: 17007 grad_norm: 5.2698 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8922 loss: 2.8922 2022/07/27 04:58:08 - mmengine - INFO - Epoch(train) [28][3380/3757] lr: 9.4550e-03 eta: 2 days, 14:28:38 time: 0.4003 data_time: 0.0152 memory: 17007 grad_norm: 4.9991 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5911 loss: 2.5911 2022/07/27 04:58:15 - mmengine - INFO - Epoch(train) [28][3400/3757] lr: 9.4550e-03 eta: 2 days, 14:28:31 time: 0.3949 data_time: 0.0166 memory: 17007 grad_norm: 5.3295 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1261 loss: 3.1261 2022/07/27 04:58:23 - mmengine - INFO - Epoch(train) [28][3420/3757] lr: 9.4550e-03 eta: 2 days, 14:28:23 time: 0.3922 data_time: 0.0142 memory: 17007 grad_norm: 5.3252 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8446 loss: 2.8446 2022/07/27 04:58:31 - mmengine - INFO - Epoch(train) [28][3440/3757] lr: 9.4550e-03 eta: 2 days, 14:28:15 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 5.2375 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8075 loss: 2.8075 2022/07/27 04:58:39 - mmengine - INFO - Epoch(train) [28][3460/3757] lr: 9.4550e-03 eta: 2 days, 14:28:07 time: 0.3927 data_time: 0.0136 memory: 17007 grad_norm: 5.1021 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7427 loss: 2.7427 2022/07/27 04:58:47 - mmengine - INFO - Epoch(train) [28][3480/3757] lr: 9.4550e-03 eta: 2 days, 14:27:59 time: 0.3933 data_time: 0.0161 memory: 17007 grad_norm: 5.3375 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7676 loss: 2.7676 2022/07/27 04:58:55 - mmengine - INFO - Epoch(train) [28][3500/3757] lr: 9.4550e-03 eta: 2 days, 14:27:51 time: 0.3934 data_time: 0.0175 memory: 17007 grad_norm: 5.1799 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7101 loss: 2.7101 2022/07/27 04:59:03 - mmengine - INFO - Epoch(train) [28][3520/3757] lr: 9.4550e-03 eta: 2 days, 14:27:43 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 5.1803 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9766 loss: 2.9766 2022/07/27 04:59:10 - mmengine - INFO - Epoch(train) [28][3540/3757] lr: 9.4550e-03 eta: 2 days, 14:27:35 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 5.2193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8076 loss: 2.8076 2022/07/27 04:59:18 - mmengine - INFO - Epoch(train) [28][3560/3757] lr: 9.4550e-03 eta: 2 days, 14:27:27 time: 0.3923 data_time: 0.0159 memory: 17007 grad_norm: 5.3500 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9044 loss: 2.9044 2022/07/27 04:59:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 04:59:26 - mmengine - INFO - Epoch(train) [28][3580/3757] lr: 9.4550e-03 eta: 2 days, 14:27:19 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 5.3041 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0457 loss: 3.0457 2022/07/27 04:59:34 - mmengine - INFO - Epoch(train) [28][3600/3757] lr: 9.4550e-03 eta: 2 days, 14:27:11 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 5.0642 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4473 loss: 2.4473 2022/07/27 04:59:42 - mmengine - INFO - Epoch(train) [28][3620/3757] lr: 9.4550e-03 eta: 2 days, 14:27:03 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 5.1329 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7085 loss: 2.7085 2022/07/27 04:59:50 - mmengine - INFO - Epoch(train) [28][3640/3757] lr: 9.4550e-03 eta: 2 days, 14:26:55 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 5.1681 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9618 loss: 2.9618 2022/07/27 04:59:58 - mmengine - INFO - Epoch(train) [28][3660/3757] lr: 9.4550e-03 eta: 2 days, 14:26:47 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 5.2066 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1862 loss: 3.1862 2022/07/27 05:00:05 - mmengine - INFO - Epoch(train) [28][3680/3757] lr: 9.4550e-03 eta: 2 days, 14:26:39 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 5.3262 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5042 loss: 2.5042 2022/07/27 05:00:13 - mmengine - INFO - Epoch(train) [28][3700/3757] lr: 9.4550e-03 eta: 2 days, 14:26:31 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 5.2761 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7519 loss: 2.7519 2022/07/27 05:00:21 - mmengine - INFO - Epoch(train) [28][3720/3757] lr: 9.4550e-03 eta: 2 days, 14:26:23 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 5.1221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8176 loss: 2.8176 2022/07/27 05:00:29 - mmengine - INFO - Epoch(train) [28][3740/3757] lr: 9.4550e-03 eta: 2 days, 14:26:15 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 5.1835 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6871 loss: 2.6871 2022/07/27 05:00:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:00:36 - mmengine - INFO - Epoch(train) [28][3757/3757] lr: 9.4550e-03 eta: 2 days, 14:26:15 time: 0.3922 data_time: 0.0171 memory: 17007 grad_norm: 5.2815 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.7767 loss: 2.7767 2022/07/27 05:00:36 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/07/27 05:00:47 - mmengine - INFO - Epoch(train) [29][20/3757] lr: 9.4147e-03 eta: 2 days, 14:25:31 time: 0.4535 data_time: 0.0760 memory: 17007 grad_norm: 5.2339 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9948 loss: 2.9948 2022/07/27 05:00:55 - mmengine - INFO - Epoch(train) [29][40/3757] lr: 9.4147e-03 eta: 2 days, 14:25:23 time: 0.3952 data_time: 0.0198 memory: 17007 grad_norm: 5.1861 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8346 loss: 2.8346 2022/07/27 05:01:02 - mmengine - INFO - Epoch(train) [29][60/3757] lr: 9.4147e-03 eta: 2 days, 14:25:15 time: 0.3930 data_time: 0.0178 memory: 17007 grad_norm: 5.1558 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5524 loss: 2.5524 2022/07/27 05:01:10 - mmengine - INFO - Epoch(train) [29][80/3757] lr: 9.4147e-03 eta: 2 days, 14:25:07 time: 0.3928 data_time: 0.0170 memory: 17007 grad_norm: 5.1157 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9160 loss: 2.9160 2022/07/27 05:01:18 - mmengine - INFO - Epoch(train) [29][100/3757] lr: 9.4147e-03 eta: 2 days, 14:24:59 time: 0.3922 data_time: 0.0150 memory: 17007 grad_norm: 5.2867 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8128 loss: 2.8128 2022/07/27 05:01:26 - mmengine - INFO - Epoch(train) [29][120/3757] lr: 9.4147e-03 eta: 2 days, 14:24:51 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 5.1846 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6517 loss: 2.6517 2022/07/27 05:01:34 - mmengine - INFO - Epoch(train) [29][140/3757] lr: 9.4147e-03 eta: 2 days, 14:24:43 time: 0.3915 data_time: 0.0148 memory: 17007 grad_norm: 5.1392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5028 loss: 2.5028 2022/07/27 05:01:42 - mmengine - INFO - Epoch(train) [29][160/3757] lr: 9.4147e-03 eta: 2 days, 14:24:35 time: 0.3943 data_time: 0.0167 memory: 17007 grad_norm: 5.2213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6588 loss: 2.6588 2022/07/27 05:01:50 - mmengine - INFO - Epoch(train) [29][180/3757] lr: 9.4147e-03 eta: 2 days, 14:24:27 time: 0.3923 data_time: 0.0142 memory: 17007 grad_norm: 5.4279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.7452 loss: 2.7452 2022/07/27 05:01:57 - mmengine - INFO - Epoch(train) [29][200/3757] lr: 9.4147e-03 eta: 2 days, 14:24:19 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 5.2927 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8305 loss: 2.8305 2022/07/27 05:02:05 - mmengine - INFO - Epoch(train) [29][220/3757] lr: 9.4147e-03 eta: 2 days, 14:24:11 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 5.1274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4404 loss: 2.4404 2022/07/27 05:02:13 - mmengine - INFO - Epoch(train) [29][240/3757] lr: 9.4147e-03 eta: 2 days, 14:24:04 time: 0.3939 data_time: 0.0170 memory: 17007 grad_norm: 5.1608 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9248 loss: 2.9248 2022/07/27 05:02:21 - mmengine - INFO - Epoch(train) [29][260/3757] lr: 9.4147e-03 eta: 2 days, 14:23:55 time: 0.3897 data_time: 0.0145 memory: 17007 grad_norm: 5.1455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7486 loss: 2.7486 2022/07/27 05:02:29 - mmengine - INFO - Epoch(train) [29][280/3757] lr: 9.4147e-03 eta: 2 days, 14:23:47 time: 0.3938 data_time: 0.0170 memory: 17007 grad_norm: 5.1787 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8328 loss: 2.8328 2022/07/27 05:02:37 - mmengine - INFO - Epoch(train) [29][300/3757] lr: 9.4147e-03 eta: 2 days, 14:23:39 time: 0.3926 data_time: 0.0172 memory: 17007 grad_norm: 5.1168 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9386 loss: 2.9386 2022/07/27 05:02:45 - mmengine - INFO - Epoch(train) [29][320/3757] lr: 9.4147e-03 eta: 2 days, 14:23:32 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 5.2110 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5837 loss: 2.5837 2022/07/27 05:02:52 - mmengine - INFO - Epoch(train) [29][340/3757] lr: 9.4147e-03 eta: 2 days, 14:23:24 time: 0.3922 data_time: 0.0159 memory: 17007 grad_norm: 5.1191 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5714 loss: 2.5714 2022/07/27 05:03:00 - mmengine - INFO - Epoch(train) [29][360/3757] lr: 9.4147e-03 eta: 2 days, 14:23:16 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 5.2084 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9910 loss: 2.9910 2022/07/27 05:03:08 - mmengine - INFO - Epoch(train) [29][380/3757] lr: 9.4147e-03 eta: 2 days, 14:23:08 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 5.2970 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0955 loss: 3.0955 2022/07/27 05:03:16 - mmengine - INFO - Epoch(train) [29][400/3757] lr: 9.4147e-03 eta: 2 days, 14:23:00 time: 0.3929 data_time: 0.0169 memory: 17007 grad_norm: 5.1181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8936 loss: 2.8936 2022/07/27 05:03:24 - mmengine - INFO - Epoch(train) [29][420/3757] lr: 9.4147e-03 eta: 2 days, 14:22:52 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 5.0596 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5148 loss: 2.5148 2022/07/27 05:03:32 - mmengine - INFO - Epoch(train) [29][440/3757] lr: 9.4147e-03 eta: 2 days, 14:22:44 time: 0.3980 data_time: 0.0173 memory: 17007 grad_norm: 5.1351 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7733 loss: 2.7733 2022/07/27 05:03:40 - mmengine - INFO - Epoch(train) [29][460/3757] lr: 9.4147e-03 eta: 2 days, 14:22:36 time: 0.3922 data_time: 0.0144 memory: 17007 grad_norm: 5.1553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6824 loss: 2.6824 2022/07/27 05:03:47 - mmengine - INFO - Epoch(train) [29][480/3757] lr: 9.4147e-03 eta: 2 days, 14:22:28 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 5.2904 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7920 loss: 2.7920 2022/07/27 05:03:55 - mmengine - INFO - Epoch(train) [29][500/3757] lr: 9.4147e-03 eta: 2 days, 14:22:21 time: 0.3958 data_time: 0.0169 memory: 17007 grad_norm: 5.4165 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6757 loss: 2.6757 2022/07/27 05:04:03 - mmengine - INFO - Epoch(train) [29][520/3757] lr: 9.4147e-03 eta: 2 days, 14:22:13 time: 0.3943 data_time: 0.0154 memory: 17007 grad_norm: 5.4888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4713 loss: 2.4713 2022/07/27 05:04:11 - mmengine - INFO - Epoch(train) [29][540/3757] lr: 9.4147e-03 eta: 2 days, 14:22:05 time: 0.3913 data_time: 0.0147 memory: 17007 grad_norm: 5.2983 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1298 loss: 3.1298 2022/07/27 05:04:19 - mmengine - INFO - Epoch(train) [29][560/3757] lr: 9.4147e-03 eta: 2 days, 14:21:57 time: 0.3944 data_time: 0.0171 memory: 17007 grad_norm: 5.2162 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7372 loss: 2.7372 2022/07/27 05:04:27 - mmengine - INFO - Epoch(train) [29][580/3757] lr: 9.4147e-03 eta: 2 days, 14:21:49 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 5.2744 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8755 loss: 2.8755 2022/07/27 05:04:35 - mmengine - INFO - Epoch(train) [29][600/3757] lr: 9.4147e-03 eta: 2 days, 14:21:41 time: 0.3952 data_time: 0.0175 memory: 17007 grad_norm: 5.1768 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8858 loss: 2.8858 2022/07/27 05:04:43 - mmengine - INFO - Epoch(train) [29][620/3757] lr: 9.4147e-03 eta: 2 days, 14:21:33 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 5.2835 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7164 loss: 2.7164 2022/07/27 05:04:50 - mmengine - INFO - Epoch(train) [29][640/3757] lr: 9.4147e-03 eta: 2 days, 14:21:25 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 5.1090 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1300 loss: 3.1300 2022/07/27 05:04:58 - mmengine - INFO - Epoch(train) [29][660/3757] lr: 9.4147e-03 eta: 2 days, 14:21:17 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 5.1280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7077 loss: 2.7077 2022/07/27 05:05:06 - mmengine - INFO - Epoch(train) [29][680/3757] lr: 9.4147e-03 eta: 2 days, 14:21:09 time: 0.3928 data_time: 0.0169 memory: 17007 grad_norm: 5.1470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7991 loss: 2.7991 2022/07/27 05:05:14 - mmengine - INFO - Epoch(train) [29][700/3757] lr: 9.4147e-03 eta: 2 days, 14:21:01 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 5.3168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5240 loss: 2.5240 2022/07/27 05:05:22 - mmengine - INFO - Epoch(train) [29][720/3757] lr: 9.4147e-03 eta: 2 days, 14:20:53 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 5.1561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7508 loss: 2.7508 2022/07/27 05:05:30 - mmengine - INFO - Epoch(train) [29][740/3757] lr: 9.4147e-03 eta: 2 days, 14:20:46 time: 0.3976 data_time: 0.0139 memory: 17007 grad_norm: 5.0451 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5356 loss: 2.5356 2022/07/27 05:05:38 - mmengine - INFO - Epoch(train) [29][760/3757] lr: 9.4147e-03 eta: 2 days, 14:20:38 time: 0.3910 data_time: 0.0155 memory: 17007 grad_norm: 5.1637 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8675 loss: 2.8675 2022/07/27 05:05:46 - mmengine - INFO - Epoch(train) [29][780/3757] lr: 9.4147e-03 eta: 2 days, 14:20:30 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 5.2359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4950 loss: 2.4950 2022/07/27 05:05:53 - mmengine - INFO - Epoch(train) [29][800/3757] lr: 9.4147e-03 eta: 2 days, 14:20:22 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.2787 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8685 loss: 2.8685 2022/07/27 05:05:55 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:06:01 - mmengine - INFO - Epoch(train) [29][820/3757] lr: 9.4147e-03 eta: 2 days, 14:20:14 time: 0.3905 data_time: 0.0145 memory: 17007 grad_norm: 5.0358 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7653 loss: 2.7653 2022/07/27 05:06:09 - mmengine - INFO - Epoch(train) [29][840/3757] lr: 9.4147e-03 eta: 2 days, 14:20:06 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.2317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9094 loss: 2.9094 2022/07/27 05:06:17 - mmengine - INFO - Epoch(train) [29][860/3757] lr: 9.4147e-03 eta: 2 days, 14:20:00 time: 0.4063 data_time: 0.0148 memory: 17007 grad_norm: 5.1578 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8536 loss: 2.8536 2022/07/27 05:06:25 - mmengine - INFO - Epoch(train) [29][880/3757] lr: 9.4147e-03 eta: 2 days, 14:19:52 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 5.2698 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0295 loss: 3.0295 2022/07/27 05:06:33 - mmengine - INFO - Epoch(train) [29][900/3757] lr: 9.4147e-03 eta: 2 days, 14:19:44 time: 0.3926 data_time: 0.0167 memory: 17007 grad_norm: 5.2234 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4967 loss: 2.4967 2022/07/27 05:06:41 - mmengine - INFO - Epoch(train) [29][920/3757] lr: 9.4147e-03 eta: 2 days, 14:19:36 time: 0.3920 data_time: 0.0161 memory: 17007 grad_norm: 5.3521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7676 loss: 2.7676 2022/07/27 05:06:49 - mmengine - INFO - Epoch(train) [29][940/3757] lr: 9.4147e-03 eta: 2 days, 14:19:28 time: 0.3934 data_time: 0.0162 memory: 17007 grad_norm: 5.2102 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8822 loss: 2.8822 2022/07/27 05:06:57 - mmengine - INFO - Epoch(train) [29][960/3757] lr: 9.4147e-03 eta: 2 days, 14:19:20 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.4493 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8561 loss: 2.8561 2022/07/27 05:07:04 - mmengine - INFO - Epoch(train) [29][980/3757] lr: 9.4147e-03 eta: 2 days, 14:19:12 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 5.1796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4347 loss: 2.4347 2022/07/27 05:07:12 - mmengine - INFO - Epoch(train) [29][1000/3757] lr: 9.4147e-03 eta: 2 days, 14:19:04 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 5.2921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8253 loss: 2.8253 2022/07/27 05:07:20 - mmengine - INFO - Epoch(train) [29][1020/3757] lr: 9.4147e-03 eta: 2 days, 14:18:56 time: 0.3917 data_time: 0.0157 memory: 17007 grad_norm: 5.2015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6933 loss: 2.6933 2022/07/27 05:07:28 - mmengine - INFO - Epoch(train) [29][1040/3757] lr: 9.4147e-03 eta: 2 days, 14:18:48 time: 0.3930 data_time: 0.0166 memory: 17007 grad_norm: 5.2257 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7573 loss: 2.7573 2022/07/27 05:07:36 - mmengine - INFO - Epoch(train) [29][1060/3757] lr: 9.4147e-03 eta: 2 days, 14:18:40 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 5.2305 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7947 loss: 2.7947 2022/07/27 05:07:44 - mmengine - INFO - Epoch(train) [29][1080/3757] lr: 9.4147e-03 eta: 2 days, 14:18:32 time: 0.3936 data_time: 0.0167 memory: 17007 grad_norm: 5.1286 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5819 loss: 2.5819 2022/07/27 05:07:52 - mmengine - INFO - Epoch(train) [29][1100/3757] lr: 9.4147e-03 eta: 2 days, 14:18:24 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 5.1503 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9673 loss: 2.9673 2022/07/27 05:07:59 - mmengine - INFO - Epoch(train) [29][1120/3757] lr: 9.4147e-03 eta: 2 days, 14:18:16 time: 0.3939 data_time: 0.0165 memory: 17007 grad_norm: 5.1308 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5500 loss: 2.5500 2022/07/27 05:08:07 - mmengine - INFO - Epoch(train) [29][1140/3757] lr: 9.4147e-03 eta: 2 days, 14:18:08 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 5.4084 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5179 loss: 2.5179 2022/07/27 05:08:15 - mmengine - INFO - Epoch(train) [29][1160/3757] lr: 9.4147e-03 eta: 2 days, 14:18:00 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 5.2663 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7618 loss: 2.7618 2022/07/27 05:08:23 - mmengine - INFO - Epoch(train) [29][1180/3757] lr: 9.4147e-03 eta: 2 days, 14:17:53 time: 0.3943 data_time: 0.0162 memory: 17007 grad_norm: 5.3608 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6779 loss: 2.6779 2022/07/27 05:08:31 - mmengine - INFO - Epoch(train) [29][1200/3757] lr: 9.4147e-03 eta: 2 days, 14:17:45 time: 0.3933 data_time: 0.0170 memory: 17007 grad_norm: 5.3738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5734 loss: 2.5734 2022/07/27 05:08:39 - mmengine - INFO - Epoch(train) [29][1220/3757] lr: 9.4147e-03 eta: 2 days, 14:17:37 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 5.3296 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5110 loss: 2.5110 2022/07/27 05:08:47 - mmengine - INFO - Epoch(train) [29][1240/3757] lr: 9.4147e-03 eta: 2 days, 14:17:29 time: 0.3979 data_time: 0.0169 memory: 17007 grad_norm: 5.1370 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1168 loss: 3.1168 2022/07/27 05:08:55 - mmengine - INFO - Epoch(train) [29][1260/3757] lr: 9.4147e-03 eta: 2 days, 14:17:21 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.3173 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9577 loss: 2.9577 2022/07/27 05:09:02 - mmengine - INFO - Epoch(train) [29][1280/3757] lr: 9.4147e-03 eta: 2 days, 14:17:13 time: 0.3915 data_time: 0.0151 memory: 17007 grad_norm: 4.9466 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6910 loss: 2.6910 2022/07/27 05:09:10 - mmengine - INFO - Epoch(train) [29][1300/3757] lr: 9.4147e-03 eta: 2 days, 14:17:05 time: 0.3915 data_time: 0.0140 memory: 17007 grad_norm: 5.2519 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8291 loss: 2.8291 2022/07/27 05:09:18 - mmengine - INFO - Epoch(train) [29][1320/3757] lr: 9.4147e-03 eta: 2 days, 14:16:57 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 5.2553 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5361 loss: 2.5361 2022/07/27 05:09:26 - mmengine - INFO - Epoch(train) [29][1340/3757] lr: 9.4147e-03 eta: 2 days, 14:16:49 time: 0.3947 data_time: 0.0166 memory: 17007 grad_norm: 5.1659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7799 loss: 2.7799 2022/07/27 05:09:34 - mmengine - INFO - Epoch(train) [29][1360/3757] lr: 9.4147e-03 eta: 2 days, 14:16:42 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 5.1883 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7776 loss: 2.7776 2022/07/27 05:09:42 - mmengine - INFO - Epoch(train) [29][1380/3757] lr: 9.4147e-03 eta: 2 days, 14:16:33 time: 0.3909 data_time: 0.0162 memory: 17007 grad_norm: 5.2319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1766 loss: 3.1766 2022/07/27 05:09:50 - mmengine - INFO - Epoch(train) [29][1400/3757] lr: 9.4147e-03 eta: 2 days, 14:16:26 time: 0.3943 data_time: 0.0169 memory: 17007 grad_norm: 5.3186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3697 loss: 2.3697 2022/07/27 05:09:57 - mmengine - INFO - Epoch(train) [29][1420/3757] lr: 9.4147e-03 eta: 2 days, 14:16:18 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 5.1687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7233 loss: 2.7233 2022/07/27 05:10:05 - mmengine - INFO - Epoch(train) [29][1440/3757] lr: 9.4147e-03 eta: 2 days, 14:16:10 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 5.3046 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0557 loss: 3.0557 2022/07/27 05:10:13 - mmengine - INFO - Epoch(train) [29][1460/3757] lr: 9.4147e-03 eta: 2 days, 14:16:02 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 5.2242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8063 loss: 2.8063 2022/07/27 05:10:21 - mmengine - INFO - Epoch(train) [29][1480/3757] lr: 9.4147e-03 eta: 2 days, 14:15:54 time: 0.3907 data_time: 0.0146 memory: 17007 grad_norm: 5.0779 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7386 loss: 2.7386 2022/07/27 05:10:29 - mmengine - INFO - Epoch(train) [29][1500/3757] lr: 9.4147e-03 eta: 2 days, 14:15:46 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 5.1969 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0958 loss: 3.0958 2022/07/27 05:10:37 - mmengine - INFO - Epoch(train) [29][1520/3757] lr: 9.4147e-03 eta: 2 days, 14:15:38 time: 0.3941 data_time: 0.0180 memory: 17007 grad_norm: 5.2645 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7725 loss: 2.7725 2022/07/27 05:10:45 - mmengine - INFO - Epoch(train) [29][1540/3757] lr: 9.4147e-03 eta: 2 days, 14:15:30 time: 0.3925 data_time: 0.0164 memory: 17007 grad_norm: 5.1572 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8977 loss: 2.8977 2022/07/27 05:10:52 - mmengine - INFO - Epoch(train) [29][1560/3757] lr: 9.4147e-03 eta: 2 days, 14:15:22 time: 0.3926 data_time: 0.0162 memory: 17007 grad_norm: 5.2911 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0924 loss: 3.0924 2022/07/27 05:11:00 - mmengine - INFO - Epoch(train) [29][1580/3757] lr: 9.4147e-03 eta: 2 days, 14:15:14 time: 0.3917 data_time: 0.0155 memory: 17007 grad_norm: 5.2808 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8439 loss: 2.8439 2022/07/27 05:11:08 - mmengine - INFO - Epoch(train) [29][1600/3757] lr: 9.4147e-03 eta: 2 days, 14:15:06 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 5.2041 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8924 loss: 2.8924 2022/07/27 05:11:16 - mmengine - INFO - Epoch(train) [29][1620/3757] lr: 9.4147e-03 eta: 2 days, 14:14:58 time: 0.3910 data_time: 0.0156 memory: 17007 grad_norm: 5.2842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0914 loss: 3.0914 2022/07/27 05:11:24 - mmengine - INFO - Epoch(train) [29][1640/3757] lr: 9.4147e-03 eta: 2 days, 14:14:50 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 5.1154 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.8899 loss: 2.8899 2022/07/27 05:11:32 - mmengine - INFO - Epoch(train) [29][1660/3757] lr: 9.4147e-03 eta: 2 days, 14:14:42 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 5.2523 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5871 loss: 2.5871 2022/07/27 05:11:40 - mmengine - INFO - Epoch(train) [29][1680/3757] lr: 9.4147e-03 eta: 2 days, 14:14:34 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 5.2025 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9084 loss: 2.9084 2022/07/27 05:11:47 - mmengine - INFO - Epoch(train) [29][1700/3757] lr: 9.4147e-03 eta: 2 days, 14:14:26 time: 0.3914 data_time: 0.0163 memory: 17007 grad_norm: 5.1292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9114 loss: 2.9114 2022/07/27 05:11:55 - mmengine - INFO - Epoch(train) [29][1720/3757] lr: 9.4147e-03 eta: 2 days, 14:14:19 time: 0.4008 data_time: 0.0168 memory: 17007 grad_norm: 5.2965 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8297 loss: 2.8297 2022/07/27 05:12:03 - mmengine - INFO - Epoch(train) [29][1740/3757] lr: 9.4147e-03 eta: 2 days, 14:14:11 time: 0.3920 data_time: 0.0149 memory: 17007 grad_norm: 5.3601 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6682 loss: 2.6682 2022/07/27 05:12:11 - mmengine - INFO - Epoch(train) [29][1760/3757] lr: 9.4147e-03 eta: 2 days, 14:14:03 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 5.3648 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8443 loss: 2.8443 2022/07/27 05:12:19 - mmengine - INFO - Epoch(train) [29][1780/3757] lr: 9.4147e-03 eta: 2 days, 14:13:55 time: 0.3935 data_time: 0.0168 memory: 17007 grad_norm: 5.1920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7192 loss: 2.7192 2022/07/27 05:12:27 - mmengine - INFO - Epoch(train) [29][1800/3757] lr: 9.4147e-03 eta: 2 days, 14:13:47 time: 0.3940 data_time: 0.0163 memory: 17007 grad_norm: 5.4521 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8191 loss: 2.8191 2022/07/27 05:12:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:12:35 - mmengine - INFO - Epoch(train) [29][1820/3757] lr: 9.4147e-03 eta: 2 days, 14:13:39 time: 0.3979 data_time: 0.0163 memory: 17007 grad_norm: 5.3215 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8060 loss: 2.8060 2022/07/27 05:12:43 - mmengine - INFO - Epoch(train) [29][1840/3757] lr: 9.4147e-03 eta: 2 days, 14:13:31 time: 0.3914 data_time: 0.0151 memory: 17007 grad_norm: 5.2884 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9553 loss: 2.9553 2022/07/27 05:12:50 - mmengine - INFO - Epoch(train) [29][1860/3757] lr: 9.4147e-03 eta: 2 days, 14:13:23 time: 0.3911 data_time: 0.0140 memory: 17007 grad_norm: 5.1349 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5489 loss: 2.5489 2022/07/27 05:12:58 - mmengine - INFO - Epoch(train) [29][1880/3757] lr: 9.4147e-03 eta: 2 days, 14:13:15 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 5.2519 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4506 loss: 2.4506 2022/07/27 05:13:06 - mmengine - INFO - Epoch(train) [29][1900/3757] lr: 9.4147e-03 eta: 2 days, 14:13:07 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.5010 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7868 loss: 2.7868 2022/07/27 05:13:14 - mmengine - INFO - Epoch(train) [29][1920/3757] lr: 9.4147e-03 eta: 2 days, 14:12:59 time: 0.3931 data_time: 0.0167 memory: 17007 grad_norm: 5.4288 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1528 loss: 3.1528 2022/07/27 05:13:22 - mmengine - INFO - Epoch(train) [29][1940/3757] lr: 9.4147e-03 eta: 2 days, 14:12:51 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 5.4224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9407 loss: 2.9407 2022/07/27 05:13:30 - mmengine - INFO - Epoch(train) [29][1960/3757] lr: 9.4147e-03 eta: 2 days, 14:12:43 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 5.0866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3141 loss: 2.3141 2022/07/27 05:13:37 - mmengine - INFO - Epoch(train) [29][1980/3757] lr: 9.4147e-03 eta: 2 days, 14:12:35 time: 0.3899 data_time: 0.0148 memory: 17007 grad_norm: 5.2038 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.9591 loss: 2.9591 2022/07/27 05:13:46 - mmengine - INFO - Epoch(train) [29][2000/3757] lr: 9.4147e-03 eta: 2 days, 14:12:29 time: 0.4081 data_time: 0.0157 memory: 17007 grad_norm: 5.1320 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0036 loss: 3.0036 2022/07/27 05:13:54 - mmengine - INFO - Epoch(train) [29][2020/3757] lr: 9.4147e-03 eta: 2 days, 14:12:21 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 5.3297 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9549 loss: 2.9549 2022/07/27 05:14:01 - mmengine - INFO - Epoch(train) [29][2040/3757] lr: 9.4147e-03 eta: 2 days, 14:12:13 time: 0.3907 data_time: 0.0149 memory: 17007 grad_norm: 5.3513 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7543 loss: 2.7543 2022/07/27 05:14:09 - mmengine - INFO - Epoch(train) [29][2060/3757] lr: 9.4147e-03 eta: 2 days, 14:12:05 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 5.2079 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4450 loss: 2.4450 2022/07/27 05:14:17 - mmengine - INFO - Epoch(train) [29][2080/3757] lr: 9.4147e-03 eta: 2 days, 14:11:57 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.2067 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8510 loss: 2.8510 2022/07/27 05:14:25 - mmengine - INFO - Epoch(train) [29][2100/3757] lr: 9.4147e-03 eta: 2 days, 14:11:49 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 5.2398 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8351 loss: 2.8351 2022/07/27 05:14:33 - mmengine - INFO - Epoch(train) [29][2120/3757] lr: 9.4147e-03 eta: 2 days, 14:11:41 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 5.2416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6189 loss: 2.6189 2022/07/27 05:14:41 - mmengine - INFO - Epoch(train) [29][2140/3757] lr: 9.4147e-03 eta: 2 days, 14:11:33 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 5.3867 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7196 loss: 2.7196 2022/07/27 05:14:49 - mmengine - INFO - Epoch(train) [29][2160/3757] lr: 9.4147e-03 eta: 2 days, 14:11:25 time: 0.3968 data_time: 0.0170 memory: 17007 grad_norm: 5.3512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8347 loss: 2.8347 2022/07/27 05:14:56 - mmengine - INFO - Epoch(train) [29][2180/3757] lr: 9.4147e-03 eta: 2 days, 14:11:18 time: 0.3942 data_time: 0.0175 memory: 17007 grad_norm: 5.1177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8200 loss: 2.8200 2022/07/27 05:15:04 - mmengine - INFO - Epoch(train) [29][2200/3757] lr: 9.4147e-03 eta: 2 days, 14:11:10 time: 0.3986 data_time: 0.0159 memory: 17007 grad_norm: 5.2355 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6353 loss: 2.6353 2022/07/27 05:15:12 - mmengine - INFO - Epoch(train) [29][2220/3757] lr: 9.4147e-03 eta: 2 days, 14:11:02 time: 0.3920 data_time: 0.0158 memory: 17007 grad_norm: 5.2118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5237 loss: 2.5237 2022/07/27 05:15:20 - mmengine - INFO - Epoch(train) [29][2240/3757] lr: 9.4147e-03 eta: 2 days, 14:10:54 time: 0.3928 data_time: 0.0159 memory: 17007 grad_norm: 5.2360 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5562 loss: 2.5562 2022/07/27 05:15:28 - mmengine - INFO - Epoch(train) [29][2260/3757] lr: 9.4147e-03 eta: 2 days, 14:10:46 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 5.3457 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8798 loss: 2.8798 2022/07/27 05:15:36 - mmengine - INFO - Epoch(train) [29][2280/3757] lr: 9.4147e-03 eta: 2 days, 14:10:39 time: 0.3936 data_time: 0.0169 memory: 17007 grad_norm: 5.3691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1196 loss: 3.1196 2022/07/27 05:15:44 - mmengine - INFO - Epoch(train) [29][2300/3757] lr: 9.4147e-03 eta: 2 days, 14:10:32 time: 0.4048 data_time: 0.0154 memory: 17007 grad_norm: 5.3561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4741 loss: 2.4741 2022/07/27 05:15:52 - mmengine - INFO - Epoch(train) [29][2320/3757] lr: 9.4147e-03 eta: 2 days, 14:10:24 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 5.1717 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9021 loss: 2.9021 2022/07/27 05:16:00 - mmengine - INFO - Epoch(train) [29][2340/3757] lr: 9.4147e-03 eta: 2 days, 14:10:16 time: 0.3930 data_time: 0.0153 memory: 17007 grad_norm: 5.2717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7749 loss: 2.7749 2022/07/27 05:16:08 - mmengine - INFO - Epoch(train) [29][2360/3757] lr: 9.4147e-03 eta: 2 days, 14:10:10 time: 0.4115 data_time: 0.0160 memory: 17007 grad_norm: 5.3503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8872 loss: 2.8872 2022/07/27 05:16:16 - mmengine - INFO - Epoch(train) [29][2380/3757] lr: 9.4147e-03 eta: 2 days, 14:10:02 time: 0.3920 data_time: 0.0153 memory: 17007 grad_norm: 5.3279 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1344 loss: 3.1344 2022/07/27 05:16:24 - mmengine - INFO - Epoch(train) [29][2400/3757] lr: 9.4147e-03 eta: 2 days, 14:09:54 time: 0.3979 data_time: 0.0169 memory: 17007 grad_norm: 5.2441 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0188 loss: 3.0188 2022/07/27 05:16:32 - mmengine - INFO - Epoch(train) [29][2420/3757] lr: 9.4147e-03 eta: 2 days, 14:09:46 time: 0.3910 data_time: 0.0155 memory: 17007 grad_norm: 5.2414 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6275 loss: 2.6275 2022/07/27 05:16:39 - mmengine - INFO - Epoch(train) [29][2440/3757] lr: 9.4147e-03 eta: 2 days, 14:09:38 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 5.0253 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6809 loss: 2.6809 2022/07/27 05:16:47 - mmengine - INFO - Epoch(train) [29][2460/3757] lr: 9.4147e-03 eta: 2 days, 14:09:31 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 5.3792 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5727 loss: 2.5727 2022/07/27 05:16:55 - mmengine - INFO - Epoch(train) [29][2480/3757] lr: 9.4147e-03 eta: 2 days, 14:09:23 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 5.2880 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6279 loss: 2.6279 2022/07/27 05:17:03 - mmengine - INFO - Epoch(train) [29][2500/3757] lr: 9.4147e-03 eta: 2 days, 14:09:15 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 5.1584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7226 loss: 2.7226 2022/07/27 05:17:11 - mmengine - INFO - Epoch(train) [29][2520/3757] lr: 9.4147e-03 eta: 2 days, 14:09:07 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.0886 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5782 loss: 2.5782 2022/07/27 05:17:19 - mmengine - INFO - Epoch(train) [29][2540/3757] lr: 9.4147e-03 eta: 2 days, 14:08:59 time: 0.3907 data_time: 0.0143 memory: 17007 grad_norm: 5.0798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5471 loss: 2.5471 2022/07/27 05:17:27 - mmengine - INFO - Epoch(train) [29][2560/3757] lr: 9.4147e-03 eta: 2 days, 14:08:52 time: 0.4041 data_time: 0.0163 memory: 17007 grad_norm: 5.5431 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0825 loss: 3.0825 2022/07/27 05:17:35 - mmengine - INFO - Epoch(train) [29][2580/3757] lr: 9.4147e-03 eta: 2 days, 14:08:44 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 5.2203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4542 loss: 2.4542 2022/07/27 05:17:42 - mmengine - INFO - Epoch(train) [29][2600/3757] lr: 9.4147e-03 eta: 2 days, 14:08:36 time: 0.3914 data_time: 0.0151 memory: 17007 grad_norm: 5.3106 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8485 loss: 2.8485 2022/07/27 05:17:50 - mmengine - INFO - Epoch(train) [29][2620/3757] lr: 9.4147e-03 eta: 2 days, 14:08:28 time: 0.3938 data_time: 0.0170 memory: 17007 grad_norm: 5.1263 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7750 loss: 2.7750 2022/07/27 05:17:58 - mmengine - INFO - Epoch(train) [29][2640/3757] lr: 9.4147e-03 eta: 2 days, 14:08:20 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 5.2457 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0161 loss: 3.0161 2022/07/27 05:18:06 - mmengine - INFO - Epoch(train) [29][2660/3757] lr: 9.4147e-03 eta: 2 days, 14:08:12 time: 0.3921 data_time: 0.0145 memory: 17007 grad_norm: 5.2800 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8867 loss: 2.8867 2022/07/27 05:18:14 - mmengine - INFO - Epoch(train) [29][2680/3757] lr: 9.4147e-03 eta: 2 days, 14:08:04 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 5.2209 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1343 loss: 3.1343 2022/07/27 05:18:22 - mmengine - INFO - Epoch(train) [29][2700/3757] lr: 9.4147e-03 eta: 2 days, 14:07:56 time: 0.3907 data_time: 0.0149 memory: 17007 grad_norm: 5.3642 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5712 loss: 2.5712 2022/07/27 05:18:30 - mmengine - INFO - Epoch(train) [29][2720/3757] lr: 9.4147e-03 eta: 2 days, 14:07:48 time: 0.3935 data_time: 0.0147 memory: 17007 grad_norm: 5.3298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0471 loss: 3.0471 2022/07/27 05:18:37 - mmengine - INFO - Epoch(train) [29][2740/3757] lr: 9.4147e-03 eta: 2 days, 14:07:40 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 5.3275 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7582 loss: 2.7582 2022/07/27 05:18:45 - mmengine - INFO - Epoch(train) [29][2760/3757] lr: 9.4147e-03 eta: 2 days, 14:07:32 time: 0.3945 data_time: 0.0167 memory: 17007 grad_norm: 5.3704 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1168 loss: 3.1168 2022/07/27 05:18:53 - mmengine - INFO - Epoch(train) [29][2780/3757] lr: 9.4147e-03 eta: 2 days, 14:07:24 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 5.2304 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4793 loss: 2.4793 2022/07/27 05:19:01 - mmengine - INFO - Epoch(train) [29][2800/3757] lr: 9.4147e-03 eta: 2 days, 14:07:16 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 5.1205 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.0453 loss: 3.0453 2022/07/27 05:19:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:19:09 - mmengine - INFO - Epoch(train) [29][2820/3757] lr: 9.4147e-03 eta: 2 days, 14:07:08 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 5.3219 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1432 loss: 3.1432 2022/07/27 05:19:17 - mmengine - INFO - Epoch(train) [29][2840/3757] lr: 9.4147e-03 eta: 2 days, 14:07:00 time: 0.3917 data_time: 0.0171 memory: 17007 grad_norm: 5.1137 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3856 loss: 2.3856 2022/07/27 05:19:25 - mmengine - INFO - Epoch(train) [29][2860/3757] lr: 9.4147e-03 eta: 2 days, 14:06:52 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 5.3187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6966 loss: 2.6966 2022/07/27 05:19:32 - mmengine - INFO - Epoch(train) [29][2880/3757] lr: 9.4147e-03 eta: 2 days, 14:06:44 time: 0.3914 data_time: 0.0146 memory: 17007 grad_norm: 5.1629 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8217 loss: 2.8217 2022/07/27 05:19:40 - mmengine - INFO - Epoch(train) [29][2900/3757] lr: 9.4147e-03 eta: 2 days, 14:06:36 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 5.0605 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4656 loss: 2.4656 2022/07/27 05:19:48 - mmengine - INFO - Epoch(train) [29][2920/3757] lr: 9.4147e-03 eta: 2 days, 14:06:29 time: 0.3983 data_time: 0.0167 memory: 17007 grad_norm: 5.2001 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6438 loss: 2.6438 2022/07/27 05:19:56 - mmengine - INFO - Epoch(train) [29][2940/3757] lr: 9.4147e-03 eta: 2 days, 14:06:21 time: 0.3910 data_time: 0.0146 memory: 17007 grad_norm: 5.3564 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4616 loss: 2.4616 2022/07/27 05:20:04 - mmengine - INFO - Epoch(train) [29][2960/3757] lr: 9.4147e-03 eta: 2 days, 14:06:14 time: 0.4009 data_time: 0.0191 memory: 17007 grad_norm: 5.3121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6442 loss: 2.6442 2022/07/27 05:20:12 - mmengine - INFO - Epoch(train) [29][2980/3757] lr: 9.4147e-03 eta: 2 days, 14:06:06 time: 0.3910 data_time: 0.0147 memory: 17007 grad_norm: 5.3266 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0189 loss: 3.0189 2022/07/27 05:20:20 - mmengine - INFO - Epoch(train) [29][3000/3757] lr: 9.4147e-03 eta: 2 days, 14:05:58 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 5.2738 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5942 loss: 2.5942 2022/07/27 05:20:28 - mmengine - INFO - Epoch(train) [29][3020/3757] lr: 9.4147e-03 eta: 2 days, 14:05:50 time: 0.3945 data_time: 0.0173 memory: 17007 grad_norm: 5.4982 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3854 loss: 2.3854 2022/07/27 05:20:36 - mmengine - INFO - Epoch(train) [29][3040/3757] lr: 9.4147e-03 eta: 2 days, 14:05:42 time: 0.3917 data_time: 0.0156 memory: 17007 grad_norm: 5.1207 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9223 loss: 2.9223 2022/07/27 05:20:43 - mmengine - INFO - Epoch(train) [29][3060/3757] lr: 9.4147e-03 eta: 2 days, 14:05:34 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 5.2109 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7390 loss: 2.7390 2022/07/27 05:20:51 - mmengine - INFO - Epoch(train) [29][3080/3757] lr: 9.4147e-03 eta: 2 days, 14:05:26 time: 0.3910 data_time: 0.0149 memory: 17007 grad_norm: 5.2569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7594 loss: 2.7594 2022/07/27 05:20:59 - mmengine - INFO - Epoch(train) [29][3100/3757] lr: 9.4147e-03 eta: 2 days, 14:05:18 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.0671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6147 loss: 2.6147 2022/07/27 05:21:07 - mmengine - INFO - Epoch(train) [29][3120/3757] lr: 9.4147e-03 eta: 2 days, 14:05:10 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 5.2898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6373 loss: 2.6373 2022/07/27 05:21:15 - mmengine - INFO - Epoch(train) [29][3140/3757] lr: 9.4147e-03 eta: 2 days, 14:05:02 time: 0.3929 data_time: 0.0164 memory: 17007 grad_norm: 5.2063 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1235 loss: 3.1235 2022/07/27 05:21:23 - mmengine - INFO - Epoch(train) [29][3160/3757] lr: 9.4147e-03 eta: 2 days, 14:04:54 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 5.2283 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6580 loss: 2.6580 2022/07/27 05:21:30 - mmengine - INFO - Epoch(train) [29][3180/3757] lr: 9.4147e-03 eta: 2 days, 14:04:46 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 5.2249 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6776 loss: 2.6776 2022/07/27 05:21:38 - mmengine - INFO - Epoch(train) [29][3200/3757] lr: 9.4147e-03 eta: 2 days, 14:04:38 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 5.3638 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9410 loss: 2.9410 2022/07/27 05:21:46 - mmengine - INFO - Epoch(train) [29][3220/3757] lr: 9.4147e-03 eta: 2 days, 14:04:30 time: 0.3956 data_time: 0.0168 memory: 17007 grad_norm: 5.2204 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8198 loss: 2.8198 2022/07/27 05:21:54 - mmengine - INFO - Epoch(train) [29][3240/3757] lr: 9.4147e-03 eta: 2 days, 14:04:22 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 5.3351 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7794 loss: 2.7794 2022/07/27 05:22:02 - mmengine - INFO - Epoch(train) [29][3260/3757] lr: 9.4147e-03 eta: 2 days, 14:04:14 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 5.2471 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6773 loss: 2.6773 2022/07/27 05:22:10 - mmengine - INFO - Epoch(train) [29][3280/3757] lr: 9.4147e-03 eta: 2 days, 14:04:07 time: 0.3961 data_time: 0.0164 memory: 17007 grad_norm: 5.3017 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.8701 loss: 2.8701 2022/07/27 05:22:18 - mmengine - INFO - Epoch(train) [29][3300/3757] lr: 9.4147e-03 eta: 2 days, 14:03:59 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 5.2160 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9903 loss: 2.9903 2022/07/27 05:22:26 - mmengine - INFO - Epoch(train) [29][3320/3757] lr: 9.4147e-03 eta: 2 days, 14:03:52 time: 0.4099 data_time: 0.0161 memory: 17007 grad_norm: 5.2705 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8263 loss: 2.8263 2022/07/27 05:22:34 - mmengine - INFO - Epoch(train) [29][3340/3757] lr: 9.4147e-03 eta: 2 days, 14:03:44 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 5.1756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7104 loss: 2.7104 2022/07/27 05:22:42 - mmengine - INFO - Epoch(train) [29][3360/3757] lr: 9.4147e-03 eta: 2 days, 14:03:36 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 5.3905 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8846 loss: 2.8846 2022/07/27 05:22:50 - mmengine - INFO - Epoch(train) [29][3380/3757] lr: 9.4147e-03 eta: 2 days, 14:03:29 time: 0.4041 data_time: 0.0158 memory: 17007 grad_norm: 5.3499 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8043 loss: 2.8043 2022/07/27 05:22:58 - mmengine - INFO - Epoch(train) [29][3400/3757] lr: 9.4147e-03 eta: 2 days, 14:03:21 time: 0.3915 data_time: 0.0157 memory: 17007 grad_norm: 5.2464 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1310 loss: 3.1310 2022/07/27 05:23:05 - mmengine - INFO - Epoch(train) [29][3420/3757] lr: 9.4147e-03 eta: 2 days, 14:03:13 time: 0.3933 data_time: 0.0174 memory: 17007 grad_norm: 5.1996 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6707 loss: 2.6707 2022/07/27 05:23:13 - mmengine - INFO - Epoch(train) [29][3440/3757] lr: 9.4147e-03 eta: 2 days, 14:03:05 time: 0.3914 data_time: 0.0155 memory: 17007 grad_norm: 5.4267 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4683 loss: 2.4683 2022/07/27 05:23:21 - mmengine - INFO - Epoch(train) [29][3460/3757] lr: 9.4147e-03 eta: 2 days, 14:02:58 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 5.2642 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0759 loss: 3.0759 2022/07/27 05:23:29 - mmengine - INFO - Epoch(train) [29][3480/3757] lr: 9.4147e-03 eta: 2 days, 14:02:50 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 5.1528 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7489 loss: 2.7489 2022/07/27 05:23:37 - mmengine - INFO - Epoch(train) [29][3500/3757] lr: 9.4147e-03 eta: 2 days, 14:02:42 time: 0.3923 data_time: 0.0147 memory: 17007 grad_norm: 5.0724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5630 loss: 2.5630 2022/07/27 05:23:45 - mmengine - INFO - Epoch(train) [29][3520/3757] lr: 9.4147e-03 eta: 2 days, 14:02:34 time: 0.3933 data_time: 0.0161 memory: 17007 grad_norm: 5.1646 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6895 loss: 2.6895 2022/07/27 05:23:53 - mmengine - INFO - Epoch(train) [29][3540/3757] lr: 9.4147e-03 eta: 2 days, 14:02:26 time: 0.3907 data_time: 0.0152 memory: 17007 grad_norm: 5.3028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5514 loss: 2.5514 2022/07/27 05:24:00 - mmengine - INFO - Epoch(train) [29][3560/3757] lr: 9.4147e-03 eta: 2 days, 14:02:18 time: 0.3925 data_time: 0.0167 memory: 17007 grad_norm: 5.3776 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8735 loss: 2.8735 2022/07/27 05:24:08 - mmengine - INFO - Epoch(train) [29][3580/3757] lr: 9.4147e-03 eta: 2 days, 14:02:10 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 5.3573 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6953 loss: 2.6953 2022/07/27 05:24:16 - mmengine - INFO - Epoch(train) [29][3600/3757] lr: 9.4147e-03 eta: 2 days, 14:02:02 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 5.2905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5433 loss: 2.5433 2022/07/27 05:24:24 - mmengine - INFO - Epoch(train) [29][3620/3757] lr: 9.4147e-03 eta: 2 days, 14:01:54 time: 0.3904 data_time: 0.0152 memory: 17007 grad_norm: 5.1397 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9619 loss: 2.9619 2022/07/27 05:24:32 - mmengine - INFO - Epoch(train) [29][3640/3757] lr: 9.4147e-03 eta: 2 days, 14:01:46 time: 0.3919 data_time: 0.0150 memory: 17007 grad_norm: 5.2953 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4577 loss: 2.4577 2022/07/27 05:24:40 - mmengine - INFO - Epoch(train) [29][3660/3757] lr: 9.4147e-03 eta: 2 days, 14:01:38 time: 0.3984 data_time: 0.0162 memory: 17007 grad_norm: 5.4783 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9142 loss: 2.9142 2022/07/27 05:24:48 - mmengine - INFO - Epoch(train) [29][3680/3757] lr: 9.4147e-03 eta: 2 days, 14:01:30 time: 0.3903 data_time: 0.0150 memory: 17007 grad_norm: 5.3819 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6391 loss: 2.6391 2022/07/27 05:24:55 - mmengine - INFO - Epoch(train) [29][3700/3757] lr: 9.4147e-03 eta: 2 days, 14:01:22 time: 0.3935 data_time: 0.0164 memory: 17007 grad_norm: 5.4198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5645 loss: 2.5645 2022/07/27 05:25:03 - mmengine - INFO - Epoch(train) [29][3720/3757] lr: 9.4147e-03 eta: 2 days, 14:01:14 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 11.1048 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7244 loss: 2.7244 2022/07/27 05:25:11 - mmengine - INFO - Epoch(train) [29][3740/3757] lr: 9.4147e-03 eta: 2 days, 14:01:06 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 5.2875 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8004 loss: 2.8004 2022/07/27 05:25:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:25:18 - mmengine - INFO - Epoch(train) [29][3757/3757] lr: 9.4147e-03 eta: 2 days, 14:01:06 time: 0.3917 data_time: 0.0169 memory: 17007 grad_norm: 5.5745 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.8161 loss: 2.8161 2022/07/27 05:25:18 - mmengine - INFO - Saving checkpoint at 29 epochs 2022/07/27 05:25:28 - mmengine - INFO - Epoch(train) [30][20/3757] lr: 9.3731e-03 eta: 2 days, 14:00:22 time: 0.4435 data_time: 0.0676 memory: 17007 grad_norm: 5.2038 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8323 loss: 2.8323 2022/07/27 05:25:36 - mmengine - INFO - Epoch(train) [30][40/3757] lr: 9.3731e-03 eta: 2 days, 14:00:14 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 5.1593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9641 loss: 2.9641 2022/07/27 05:25:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:25:44 - mmengine - INFO - Epoch(train) [30][60/3757] lr: 9.3731e-03 eta: 2 days, 14:00:06 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 5.3057 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9344 loss: 2.9344 2022/07/27 05:25:52 - mmengine - INFO - Epoch(train) [30][80/3757] lr: 9.3731e-03 eta: 2 days, 13:59:58 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 5.2883 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8711 loss: 2.8711 2022/07/27 05:26:00 - mmengine - INFO - Epoch(train) [30][100/3757] lr: 9.3731e-03 eta: 2 days, 13:59:52 time: 0.4036 data_time: 0.0149 memory: 17007 grad_norm: 5.2616 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2922 loss: 3.2922 2022/07/27 05:26:08 - mmengine - INFO - Epoch(train) [30][120/3757] lr: 9.3731e-03 eta: 2 days, 13:59:44 time: 0.3974 data_time: 0.0165 memory: 17007 grad_norm: 5.2909 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9553 loss: 2.9553 2022/07/27 05:26:16 - mmengine - INFO - Epoch(train) [30][140/3757] lr: 9.3731e-03 eta: 2 days, 13:59:36 time: 0.3902 data_time: 0.0137 memory: 17007 grad_norm: 5.1731 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5933 loss: 2.5933 2022/07/27 05:26:24 - mmengine - INFO - Epoch(train) [30][160/3757] lr: 9.3731e-03 eta: 2 days, 13:59:28 time: 0.3928 data_time: 0.0159 memory: 17007 grad_norm: 5.1967 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9152 loss: 2.9152 2022/07/27 05:26:32 - mmengine - INFO - Epoch(train) [30][180/3757] lr: 9.3731e-03 eta: 2 days, 13:59:20 time: 0.3922 data_time: 0.0152 memory: 17007 grad_norm: 5.1849 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1649 loss: 3.1649 2022/07/27 05:26:39 - mmengine - INFO - Epoch(train) [30][200/3757] lr: 9.3731e-03 eta: 2 days, 13:59:12 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 5.2456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6404 loss: 2.6404 2022/07/27 05:26:47 - mmengine - INFO - Epoch(train) [30][220/3757] lr: 9.3731e-03 eta: 2 days, 13:59:04 time: 0.3918 data_time: 0.0162 memory: 17007 grad_norm: 5.2752 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5826 loss: 2.5826 2022/07/27 05:26:55 - mmengine - INFO - Epoch(train) [30][240/3757] lr: 9.3731e-03 eta: 2 days, 13:58:57 time: 0.4014 data_time: 0.0156 memory: 17007 grad_norm: 5.2577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7217 loss: 2.7217 2022/07/27 05:27:03 - mmengine - INFO - Epoch(train) [30][260/3757] lr: 9.3731e-03 eta: 2 days, 13:58:49 time: 0.3912 data_time: 0.0153 memory: 17007 grad_norm: 5.0974 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0046 loss: 3.0046 2022/07/27 05:27:11 - mmengine - INFO - Epoch(train) [30][280/3757] lr: 9.3731e-03 eta: 2 days, 13:58:41 time: 0.3946 data_time: 0.0169 memory: 17007 grad_norm: 5.1606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5901 loss: 2.5901 2022/07/27 05:27:19 - mmengine - INFO - Epoch(train) [30][300/3757] lr: 9.3731e-03 eta: 2 days, 13:58:33 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.2176 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4723 loss: 2.4723 2022/07/27 05:27:27 - mmengine - INFO - Epoch(train) [30][320/3757] lr: 9.3731e-03 eta: 2 days, 13:58:25 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 5.3599 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5895 loss: 2.5895 2022/07/27 05:27:35 - mmengine - INFO - Epoch(train) [30][340/3757] lr: 9.3731e-03 eta: 2 days, 13:58:17 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 5.1187 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7141 loss: 2.7141 2022/07/27 05:27:42 - mmengine - INFO - Epoch(train) [30][360/3757] lr: 9.3731e-03 eta: 2 days, 13:58:09 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.3049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9631 loss: 2.9631 2022/07/27 05:27:50 - mmengine - INFO - Epoch(train) [30][380/3757] lr: 9.3731e-03 eta: 2 days, 13:58:02 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 5.1857 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3162 loss: 2.3162 2022/07/27 05:27:58 - mmengine - INFO - Epoch(train) [30][400/3757] lr: 9.3731e-03 eta: 2 days, 13:57:54 time: 0.3939 data_time: 0.0161 memory: 17007 grad_norm: 5.4679 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5342 loss: 2.5342 2022/07/27 05:28:06 - mmengine - INFO - Epoch(train) [30][420/3757] lr: 9.3731e-03 eta: 2 days, 13:57:46 time: 0.3915 data_time: 0.0142 memory: 17007 grad_norm: 5.3766 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8400 loss: 2.8400 2022/07/27 05:28:14 - mmengine - INFO - Epoch(train) [30][440/3757] lr: 9.3731e-03 eta: 2 days, 13:57:38 time: 0.3922 data_time: 0.0163 memory: 17007 grad_norm: 5.1960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6817 loss: 2.6817 2022/07/27 05:28:22 - mmengine - INFO - Epoch(train) [30][460/3757] lr: 9.3731e-03 eta: 2 days, 13:57:30 time: 0.3925 data_time: 0.0147 memory: 17007 grad_norm: 5.1670 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8191 loss: 2.8191 2022/07/27 05:28:30 - mmengine - INFO - Epoch(train) [30][480/3757] lr: 9.3731e-03 eta: 2 days, 13:57:22 time: 0.3935 data_time: 0.0170 memory: 17007 grad_norm: 5.3371 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9862 loss: 2.9862 2022/07/27 05:28:38 - mmengine - INFO - Epoch(train) [30][500/3757] lr: 9.3731e-03 eta: 2 days, 13:57:14 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 5.2967 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7937 loss: 2.7937 2022/07/27 05:28:45 - mmengine - INFO - Epoch(train) [30][520/3757] lr: 9.3731e-03 eta: 2 days, 13:57:06 time: 0.3939 data_time: 0.0161 memory: 17007 grad_norm: 5.2679 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5817 loss: 2.5817 2022/07/27 05:28:53 - mmengine - INFO - Epoch(train) [30][540/3757] lr: 9.3731e-03 eta: 2 days, 13:56:58 time: 0.3913 data_time: 0.0151 memory: 17007 grad_norm: 5.5526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8860 loss: 2.8860 2022/07/27 05:29:01 - mmengine - INFO - Epoch(train) [30][560/3757] lr: 9.3731e-03 eta: 2 days, 13:56:51 time: 0.3988 data_time: 0.0170 memory: 17007 grad_norm: 5.4474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7068 loss: 2.7068 2022/07/27 05:29:09 - mmengine - INFO - Epoch(train) [30][580/3757] lr: 9.3731e-03 eta: 2 days, 13:56:43 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 5.3453 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7133 loss: 2.7133 2022/07/27 05:29:17 - mmengine - INFO - Epoch(train) [30][600/3757] lr: 9.3731e-03 eta: 2 days, 13:56:36 time: 0.4017 data_time: 0.0168 memory: 17007 grad_norm: 5.1210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7922 loss: 2.7922 2022/07/27 05:29:25 - mmengine - INFO - Epoch(train) [30][620/3757] lr: 9.3731e-03 eta: 2 days, 13:56:28 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 5.2102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8171 loss: 2.8171 2022/07/27 05:29:33 - mmengine - INFO - Epoch(train) [30][640/3757] lr: 9.3731e-03 eta: 2 days, 13:56:20 time: 0.3941 data_time: 0.0174 memory: 17007 grad_norm: 5.1597 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5638 loss: 2.5638 2022/07/27 05:29:41 - mmengine - INFO - Epoch(train) [30][660/3757] lr: 9.3731e-03 eta: 2 days, 13:56:12 time: 0.3908 data_time: 0.0143 memory: 17007 grad_norm: 5.3180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7226 loss: 2.7226 2022/07/27 05:29:49 - mmengine - INFO - Epoch(train) [30][680/3757] lr: 9.3731e-03 eta: 2 days, 13:56:04 time: 0.4000 data_time: 0.0169 memory: 17007 grad_norm: 5.1969 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3590 loss: 2.3590 2022/07/27 05:29:57 - mmengine - INFO - Epoch(train) [30][700/3757] lr: 9.3731e-03 eta: 2 days, 13:55:57 time: 0.3939 data_time: 0.0149 memory: 17007 grad_norm: 5.1675 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8687 loss: 2.8687 2022/07/27 05:30:04 - mmengine - INFO - Epoch(train) [30][720/3757] lr: 9.3731e-03 eta: 2 days, 13:55:49 time: 0.3960 data_time: 0.0170 memory: 17007 grad_norm: 5.3175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7125 loss: 2.7125 2022/07/27 05:30:12 - mmengine - INFO - Epoch(train) [30][740/3757] lr: 9.3731e-03 eta: 2 days, 13:55:41 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 5.2986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5645 loss: 2.5645 2022/07/27 05:30:20 - mmengine - INFO - Epoch(train) [30][760/3757] lr: 9.3731e-03 eta: 2 days, 13:55:33 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 5.1635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9764 loss: 2.9764 2022/07/27 05:30:28 - mmengine - INFO - Epoch(train) [30][780/3757] lr: 9.3731e-03 eta: 2 days, 13:55:25 time: 0.3907 data_time: 0.0144 memory: 17007 grad_norm: 5.2811 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9444 loss: 2.9444 2022/07/27 05:30:36 - mmengine - INFO - Epoch(train) [30][800/3757] lr: 9.3731e-03 eta: 2 days, 13:55:17 time: 0.3950 data_time: 0.0161 memory: 17007 grad_norm: 5.3163 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7959 loss: 2.7959 2022/07/27 05:30:44 - mmengine - INFO - Epoch(train) [30][820/3757] lr: 9.3731e-03 eta: 2 days, 13:55:09 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 5.4157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7212 loss: 2.7212 2022/07/27 05:30:52 - mmengine - INFO - Epoch(train) [30][840/3757] lr: 9.3731e-03 eta: 2 days, 13:55:01 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 5.1466 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6169 loss: 2.6169 2022/07/27 05:30:59 - mmengine - INFO - Epoch(train) [30][860/3757] lr: 9.3731e-03 eta: 2 days, 13:54:53 time: 0.3925 data_time: 0.0139 memory: 17007 grad_norm: 5.2307 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6698 loss: 2.6698 2022/07/27 05:31:07 - mmengine - INFO - Epoch(train) [30][880/3757] lr: 9.3731e-03 eta: 2 days, 13:54:46 time: 0.3946 data_time: 0.0180 memory: 17007 grad_norm: 5.4479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8104 loss: 2.8104 2022/07/27 05:31:15 - mmengine - INFO - Epoch(train) [30][900/3757] lr: 9.3731e-03 eta: 2 days, 13:54:38 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 5.1717 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.9098 loss: 2.9098 2022/07/27 05:31:23 - mmengine - INFO - Epoch(train) [30][920/3757] lr: 9.3731e-03 eta: 2 days, 13:54:30 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 5.2452 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7663 loss: 2.7663 2022/07/27 05:31:31 - mmengine - INFO - Epoch(train) [30][940/3757] lr: 9.3731e-03 eta: 2 days, 13:54:22 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 5.3506 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0307 loss: 3.0307 2022/07/27 05:31:39 - mmengine - INFO - Epoch(train) [30][960/3757] lr: 9.3731e-03 eta: 2 days, 13:54:14 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 5.2866 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7387 loss: 2.7387 2022/07/27 05:31:47 - mmengine - INFO - Epoch(train) [30][980/3757] lr: 9.3731e-03 eta: 2 days, 13:54:07 time: 0.3972 data_time: 0.0142 memory: 17007 grad_norm: 5.3494 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9355 loss: 2.9355 2022/07/27 05:31:55 - mmengine - INFO - Epoch(train) [30][1000/3757] lr: 9.3731e-03 eta: 2 days, 13:53:59 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 5.3816 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6243 loss: 2.6243 2022/07/27 05:32:03 - mmengine - INFO - Epoch(train) [30][1020/3757] lr: 9.3731e-03 eta: 2 days, 13:53:51 time: 0.3954 data_time: 0.0162 memory: 17007 grad_norm: 5.1518 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.8542 loss: 2.8542 2022/07/27 05:32:10 - mmengine - INFO - Epoch(train) [30][1040/3757] lr: 9.3731e-03 eta: 2 days, 13:53:43 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 5.3303 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7854 loss: 2.7854 2022/07/27 05:32:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:32:18 - mmengine - INFO - Epoch(train) [30][1060/3757] lr: 9.3731e-03 eta: 2 days, 13:53:36 time: 0.3952 data_time: 0.0165 memory: 17007 grad_norm: 5.2539 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7850 loss: 2.7850 2022/07/27 05:32:27 - mmengine - INFO - Epoch(train) [30][1080/3757] lr: 9.3731e-03 eta: 2 days, 13:53:29 time: 0.4068 data_time: 0.0163 memory: 17007 grad_norm: 5.3710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7321 loss: 2.7321 2022/07/27 05:32:34 - mmengine - INFO - Epoch(train) [30][1100/3757] lr: 9.3731e-03 eta: 2 days, 13:53:21 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 5.1037 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8439 loss: 2.8439 2022/07/27 05:32:42 - mmengine - INFO - Epoch(train) [30][1120/3757] lr: 9.3731e-03 eta: 2 days, 13:53:13 time: 0.3932 data_time: 0.0177 memory: 17007 grad_norm: 5.4074 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9694 loss: 2.9694 2022/07/27 05:32:51 - mmengine - INFO - Epoch(train) [30][1140/3757] lr: 9.3731e-03 eta: 2 days, 13:53:08 time: 0.4234 data_time: 0.0158 memory: 17007 grad_norm: 5.3441 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7066 loss: 2.7066 2022/07/27 05:32:59 - mmengine - INFO - Epoch(train) [30][1160/3757] lr: 9.3731e-03 eta: 2 days, 13:53:01 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 5.2236 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6413 loss: 2.6413 2022/07/27 05:33:07 - mmengine - INFO - Epoch(train) [30][1180/3757] lr: 9.3731e-03 eta: 2 days, 13:52:53 time: 0.3957 data_time: 0.0165 memory: 17007 grad_norm: 5.4286 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8530 loss: 2.8530 2022/07/27 05:33:14 - mmengine - INFO - Epoch(train) [30][1200/3757] lr: 9.3731e-03 eta: 2 days, 13:52:45 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.3629 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9866 loss: 2.9866 2022/07/27 05:33:22 - mmengine - INFO - Epoch(train) [30][1220/3757] lr: 9.3731e-03 eta: 2 days, 13:52:37 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 5.1546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4777 loss: 2.4777 2022/07/27 05:33:30 - mmengine - INFO - Epoch(train) [30][1240/3757] lr: 9.3731e-03 eta: 2 days, 13:52:29 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 5.4846 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0070 loss: 3.0070 2022/07/27 05:33:38 - mmengine - INFO - Epoch(train) [30][1260/3757] lr: 9.3731e-03 eta: 2 days, 13:52:21 time: 0.3919 data_time: 0.0162 memory: 17007 grad_norm: 5.3563 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7504 loss: 2.7504 2022/07/27 05:33:46 - mmengine - INFO - Epoch(train) [30][1280/3757] lr: 9.3731e-03 eta: 2 days, 13:52:14 time: 0.3942 data_time: 0.0165 memory: 17007 grad_norm: 5.1537 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7705 loss: 2.7705 2022/07/27 05:33:54 - mmengine - INFO - Epoch(train) [30][1300/3757] lr: 9.3731e-03 eta: 2 days, 13:52:05 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 5.2766 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6871 loss: 2.6871 2022/07/27 05:34:02 - mmengine - INFO - Epoch(train) [30][1320/3757] lr: 9.3731e-03 eta: 2 days, 13:51:58 time: 0.3943 data_time: 0.0172 memory: 17007 grad_norm: 5.1724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6927 loss: 2.6927 2022/07/27 05:34:09 - mmengine - INFO - Epoch(train) [30][1340/3757] lr: 9.3731e-03 eta: 2 days, 13:51:50 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.2542 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4948 loss: 2.4948 2022/07/27 05:34:17 - mmengine - INFO - Epoch(train) [30][1360/3757] lr: 9.3731e-03 eta: 2 days, 13:51:42 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 5.1607 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8285 loss: 2.8285 2022/07/27 05:34:25 - mmengine - INFO - Epoch(train) [30][1380/3757] lr: 9.3731e-03 eta: 2 days, 13:51:34 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.0748 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7834 loss: 2.7834 2022/07/27 05:34:33 - mmengine - INFO - Epoch(train) [30][1400/3757] lr: 9.3731e-03 eta: 2 days, 13:51:26 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 5.2030 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3098 loss: 2.3098 2022/07/27 05:34:41 - mmengine - INFO - Epoch(train) [30][1420/3757] lr: 9.3731e-03 eta: 2 days, 13:51:19 time: 0.4026 data_time: 0.0156 memory: 17007 grad_norm: 5.1119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9196 loss: 2.9196 2022/07/27 05:34:49 - mmengine - INFO - Epoch(train) [30][1440/3757] lr: 9.3731e-03 eta: 2 days, 13:51:11 time: 0.3960 data_time: 0.0174 memory: 17007 grad_norm: 5.2941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9649 loss: 2.9649 2022/07/27 05:34:57 - mmengine - INFO - Epoch(train) [30][1460/3757] lr: 9.3731e-03 eta: 2 days, 13:51:04 time: 0.3960 data_time: 0.0161 memory: 17007 grad_norm: 5.3912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2335 loss: 3.2335 2022/07/27 05:35:05 - mmengine - INFO - Epoch(train) [30][1480/3757] lr: 9.3731e-03 eta: 2 days, 13:50:56 time: 0.3934 data_time: 0.0166 memory: 17007 grad_norm: 5.2343 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7900 loss: 2.7900 2022/07/27 05:35:13 - mmengine - INFO - Epoch(train) [30][1500/3757] lr: 9.3731e-03 eta: 2 days, 13:50:48 time: 0.3913 data_time: 0.0140 memory: 17007 grad_norm: 5.3297 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8256 loss: 2.8256 2022/07/27 05:35:20 - mmengine - INFO - Epoch(train) [30][1520/3757] lr: 9.3731e-03 eta: 2 days, 13:50:40 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 5.2837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6334 loss: 2.6334 2022/07/27 05:35:28 - mmengine - INFO - Epoch(train) [30][1540/3757] lr: 9.3731e-03 eta: 2 days, 13:50:32 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 5.2588 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7313 loss: 2.7313 2022/07/27 05:35:36 - mmengine - INFO - Epoch(train) [30][1560/3757] lr: 9.3731e-03 eta: 2 days, 13:50:24 time: 0.3938 data_time: 0.0168 memory: 17007 grad_norm: 5.6521 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8104 loss: 2.8104 2022/07/27 05:35:44 - mmengine - INFO - Epoch(train) [30][1580/3757] lr: 9.3731e-03 eta: 2 days, 13:50:16 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 5.2414 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5873 loss: 2.5873 2022/07/27 05:35:52 - mmengine - INFO - Epoch(train) [30][1600/3757] lr: 9.3731e-03 eta: 2 days, 13:50:08 time: 0.3936 data_time: 0.0175 memory: 17007 grad_norm: 5.2829 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8587 loss: 2.8587 2022/07/27 05:36:00 - mmengine - INFO - Epoch(train) [30][1620/3757] lr: 9.3731e-03 eta: 2 days, 13:50:00 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 5.2330 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7561 loss: 2.7561 2022/07/27 05:36:08 - mmengine - INFO - Epoch(train) [30][1640/3757] lr: 9.3731e-03 eta: 2 days, 13:49:53 time: 0.3952 data_time: 0.0168 memory: 17007 grad_norm: 5.3254 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6525 loss: 2.6525 2022/07/27 05:36:16 - mmengine - INFO - Epoch(train) [30][1660/3757] lr: 9.3731e-03 eta: 2 days, 13:49:44 time: 0.3904 data_time: 0.0150 memory: 17007 grad_norm: 5.3374 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6488 loss: 2.6488 2022/07/27 05:36:23 - mmengine - INFO - Epoch(train) [30][1680/3757] lr: 9.3731e-03 eta: 2 days, 13:49:36 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 5.1662 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5813 loss: 2.5813 2022/07/27 05:36:31 - mmengine - INFO - Epoch(train) [30][1700/3757] lr: 9.3731e-03 eta: 2 days, 13:49:29 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 5.3357 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6984 loss: 2.6984 2022/07/27 05:36:39 - mmengine - INFO - Epoch(train) [30][1720/3757] lr: 9.3731e-03 eta: 2 days, 13:49:21 time: 0.3931 data_time: 0.0168 memory: 17007 grad_norm: 5.2830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7547 loss: 2.7547 2022/07/27 05:36:47 - mmengine - INFO - Epoch(train) [30][1740/3757] lr: 9.3731e-03 eta: 2 days, 13:49:13 time: 0.3925 data_time: 0.0148 memory: 17007 grad_norm: 5.2860 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9207 loss: 2.9207 2022/07/27 05:36:55 - mmengine - INFO - Epoch(train) [30][1760/3757] lr: 9.3731e-03 eta: 2 days, 13:49:05 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 5.1978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5630 loss: 2.5630 2022/07/27 05:37:03 - mmengine - INFO - Epoch(train) [30][1780/3757] lr: 9.3731e-03 eta: 2 days, 13:48:57 time: 0.3917 data_time: 0.0150 memory: 17007 grad_norm: 5.1027 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5008 loss: 2.5008 2022/07/27 05:37:11 - mmengine - INFO - Epoch(train) [30][1800/3757] lr: 9.3731e-03 eta: 2 days, 13:48:49 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 5.1901 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6069 loss: 2.6069 2022/07/27 05:37:18 - mmengine - INFO - Epoch(train) [30][1820/3757] lr: 9.3731e-03 eta: 2 days, 13:48:41 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 5.2632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7201 loss: 2.7201 2022/07/27 05:37:26 - mmengine - INFO - Epoch(train) [30][1840/3757] lr: 9.3731e-03 eta: 2 days, 13:48:33 time: 0.3953 data_time: 0.0170 memory: 17007 grad_norm: 5.1047 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6658 loss: 2.6658 2022/07/27 05:37:34 - mmengine - INFO - Epoch(train) [30][1860/3757] lr: 9.3731e-03 eta: 2 days, 13:48:25 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 5.3709 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8642 loss: 2.8642 2022/07/27 05:37:42 - mmengine - INFO - Epoch(train) [30][1880/3757] lr: 9.3731e-03 eta: 2 days, 13:48:17 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 5.1550 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6302 loss: 2.6302 2022/07/27 05:37:50 - mmengine - INFO - Epoch(train) [30][1900/3757] lr: 9.3731e-03 eta: 2 days, 13:48:09 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.2388 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6299 loss: 2.6299 2022/07/27 05:37:58 - mmengine - INFO - Epoch(train) [30][1920/3757] lr: 9.3731e-03 eta: 2 days, 13:48:01 time: 0.3946 data_time: 0.0169 memory: 17007 grad_norm: 5.1803 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5728 loss: 2.5728 2022/07/27 05:38:06 - mmengine - INFO - Epoch(train) [30][1940/3757] lr: 9.3731e-03 eta: 2 days, 13:47:54 time: 0.3972 data_time: 0.0155 memory: 17007 grad_norm: 5.2896 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9617 loss: 2.9617 2022/07/27 05:38:13 - mmengine - INFO - Epoch(train) [30][1960/3757] lr: 9.3731e-03 eta: 2 days, 13:47:46 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 5.3209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8220 loss: 2.8220 2022/07/27 05:38:21 - mmengine - INFO - Epoch(train) [30][1980/3757] lr: 9.3731e-03 eta: 2 days, 13:47:38 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.2149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4829 loss: 2.4829 2022/07/27 05:38:29 - mmengine - INFO - Epoch(train) [30][2000/3757] lr: 9.3731e-03 eta: 2 days, 13:47:30 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.4307 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5918 loss: 2.5918 2022/07/27 05:38:37 - mmengine - INFO - Epoch(train) [30][2020/3757] lr: 9.3731e-03 eta: 2 days, 13:47:22 time: 0.3920 data_time: 0.0144 memory: 17007 grad_norm: 5.3097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5576 loss: 2.5576 2022/07/27 05:38:45 - mmengine - INFO - Epoch(train) [30][2040/3757] lr: 9.3731e-03 eta: 2 days, 13:47:14 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 5.2573 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7083 loss: 2.7083 2022/07/27 05:38:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:38:53 - mmengine - INFO - Epoch(train) [30][2060/3757] lr: 9.3731e-03 eta: 2 days, 13:47:06 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 5.1876 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4453 loss: 2.4453 2022/07/27 05:39:01 - mmengine - INFO - Epoch(train) [30][2080/3757] lr: 9.3731e-03 eta: 2 days, 13:46:58 time: 0.3944 data_time: 0.0173 memory: 17007 grad_norm: 5.4454 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6929 loss: 2.6929 2022/07/27 05:39:08 - mmengine - INFO - Epoch(train) [30][2100/3757] lr: 9.3731e-03 eta: 2 days, 13:46:50 time: 0.3924 data_time: 0.0147 memory: 17007 grad_norm: 5.1812 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6455 loss: 2.6455 2022/07/27 05:39:16 - mmengine - INFO - Epoch(train) [30][2120/3757] lr: 9.3731e-03 eta: 2 days, 13:46:42 time: 0.3940 data_time: 0.0164 memory: 17007 grad_norm: 5.2257 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6821 loss: 2.6821 2022/07/27 05:39:24 - mmengine - INFO - Epoch(train) [30][2140/3757] lr: 9.3731e-03 eta: 2 days, 13:46:34 time: 0.3904 data_time: 0.0144 memory: 17007 grad_norm: 5.3131 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7579 loss: 2.7579 2022/07/27 05:39:32 - mmengine - INFO - Epoch(train) [30][2160/3757] lr: 9.3731e-03 eta: 2 days, 13:46:26 time: 0.3934 data_time: 0.0172 memory: 17007 grad_norm: 5.1263 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5807 loss: 2.5807 2022/07/27 05:39:40 - mmengine - INFO - Epoch(train) [30][2180/3757] lr: 9.3731e-03 eta: 2 days, 13:46:18 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 5.4725 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6019 loss: 2.6019 2022/07/27 05:39:48 - mmengine - INFO - Epoch(train) [30][2200/3757] lr: 9.3731e-03 eta: 2 days, 13:46:10 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 5.3622 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0389 loss: 3.0389 2022/07/27 05:39:56 - mmengine - INFO - Epoch(train) [30][2220/3757] lr: 9.3731e-03 eta: 2 days, 13:46:03 time: 0.4020 data_time: 0.0150 memory: 17007 grad_norm: 5.3068 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7162 loss: 2.7162 2022/07/27 05:40:04 - mmengine - INFO - Epoch(train) [30][2240/3757] lr: 9.3731e-03 eta: 2 days, 13:45:55 time: 0.3942 data_time: 0.0166 memory: 17007 grad_norm: 5.2570 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7041 loss: 2.7041 2022/07/27 05:40:12 - mmengine - INFO - Epoch(train) [30][2260/3757] lr: 9.3731e-03 eta: 2 days, 13:45:48 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 5.2221 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8154 loss: 2.8154 2022/07/27 05:40:19 - mmengine - INFO - Epoch(train) [30][2280/3757] lr: 9.3731e-03 eta: 2 days, 13:45:40 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 5.1976 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6698 loss: 2.6698 2022/07/27 05:40:27 - mmengine - INFO - Epoch(train) [30][2300/3757] lr: 9.3731e-03 eta: 2 days, 13:45:32 time: 0.3937 data_time: 0.0162 memory: 17007 grad_norm: 5.2895 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6137 loss: 2.6137 2022/07/27 05:40:35 - mmengine - INFO - Epoch(train) [30][2320/3757] lr: 9.3731e-03 eta: 2 days, 13:45:24 time: 0.3917 data_time: 0.0151 memory: 17007 grad_norm: 5.4128 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8750 loss: 2.8750 2022/07/27 05:40:43 - mmengine - INFO - Epoch(train) [30][2340/3757] lr: 9.3731e-03 eta: 2 days, 13:45:16 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 5.3372 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8867 loss: 2.8867 2022/07/27 05:40:51 - mmengine - INFO - Epoch(train) [30][2360/3757] lr: 9.3731e-03 eta: 2 days, 13:45:08 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 5.3055 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7016 loss: 2.7016 2022/07/27 05:40:59 - mmengine - INFO - Epoch(train) [30][2380/3757] lr: 9.3731e-03 eta: 2 days, 13:45:00 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 5.2374 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6117 loss: 2.6117 2022/07/27 05:41:07 - mmengine - INFO - Epoch(train) [30][2400/3757] lr: 9.3731e-03 eta: 2 days, 13:44:52 time: 0.3968 data_time: 0.0181 memory: 17007 grad_norm: 5.2495 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6836 loss: 2.6836 2022/07/27 05:41:14 - mmengine - INFO - Epoch(train) [30][2420/3757] lr: 9.3731e-03 eta: 2 days, 13:44:44 time: 0.3905 data_time: 0.0139 memory: 17007 grad_norm: 5.2886 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7441 loss: 2.7441 2022/07/27 05:41:22 - mmengine - INFO - Epoch(train) [30][2440/3757] lr: 9.3731e-03 eta: 2 days, 13:44:36 time: 0.3931 data_time: 0.0154 memory: 17007 grad_norm: 5.4766 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8491 loss: 2.8491 2022/07/27 05:41:30 - mmengine - INFO - Epoch(train) [30][2460/3757] lr: 9.3731e-03 eta: 2 days, 13:44:29 time: 0.3960 data_time: 0.0155 memory: 17007 grad_norm: 5.2412 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2942 loss: 2.2942 2022/07/27 05:41:38 - mmengine - INFO - Epoch(train) [30][2480/3757] lr: 9.3731e-03 eta: 2 days, 13:44:21 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.4593 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7912 loss: 2.7912 2022/07/27 05:41:46 - mmengine - INFO - Epoch(train) [30][2500/3757] lr: 9.3731e-03 eta: 2 days, 13:44:13 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 5.4424 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6497 loss: 2.6497 2022/07/27 05:41:54 - mmengine - INFO - Epoch(train) [30][2520/3757] lr: 9.3731e-03 eta: 2 days, 13:44:05 time: 0.3920 data_time: 0.0154 memory: 17007 grad_norm: 5.2546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5365 loss: 2.5365 2022/07/27 05:42:02 - mmengine - INFO - Epoch(train) [30][2540/3757] lr: 9.3731e-03 eta: 2 days, 13:43:57 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 5.3284 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7362 loss: 2.7362 2022/07/27 05:42:10 - mmengine - INFO - Epoch(train) [30][2560/3757] lr: 9.3731e-03 eta: 2 days, 13:43:49 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 5.1833 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8659 loss: 2.8659 2022/07/27 05:42:17 - mmengine - INFO - Epoch(train) [30][2580/3757] lr: 9.3731e-03 eta: 2 days, 13:43:42 time: 0.3965 data_time: 0.0167 memory: 17007 grad_norm: 5.2393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3991 loss: 2.3991 2022/07/27 05:42:25 - mmengine - INFO - Epoch(train) [30][2600/3757] lr: 9.3731e-03 eta: 2 days, 13:43:34 time: 0.3931 data_time: 0.0154 memory: 17007 grad_norm: 5.2516 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5080 loss: 2.5080 2022/07/27 05:42:33 - mmengine - INFO - Epoch(train) [30][2620/3757] lr: 9.3731e-03 eta: 2 days, 13:43:26 time: 0.3930 data_time: 0.0135 memory: 17007 grad_norm: 5.2243 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6654 loss: 2.6654 2022/07/27 05:42:41 - mmengine - INFO - Epoch(train) [30][2640/3757] lr: 9.3731e-03 eta: 2 days, 13:43:18 time: 0.3961 data_time: 0.0163 memory: 17007 grad_norm: 5.2846 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8477 loss: 2.8477 2022/07/27 05:42:49 - mmengine - INFO - Epoch(train) [30][2660/3757] lr: 9.3731e-03 eta: 2 days, 13:43:10 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 5.3887 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7462 loss: 2.7462 2022/07/27 05:42:57 - mmengine - INFO - Epoch(train) [30][2680/3757] lr: 9.3731e-03 eta: 2 days, 13:43:02 time: 0.3939 data_time: 0.0171 memory: 17007 grad_norm: 5.2358 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6675 loss: 2.6675 2022/07/27 05:43:05 - mmengine - INFO - Epoch(train) [30][2700/3757] lr: 9.3731e-03 eta: 2 days, 13:42:54 time: 0.3906 data_time: 0.0140 memory: 17007 grad_norm: 5.3708 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4430 loss: 2.4430 2022/07/27 05:43:13 - mmengine - INFO - Epoch(train) [30][2720/3757] lr: 9.3731e-03 eta: 2 days, 13:42:46 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 5.3613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0427 loss: 3.0427 2022/07/27 05:43:21 - mmengine - INFO - Epoch(train) [30][2740/3757] lr: 9.3731e-03 eta: 2 days, 13:42:39 time: 0.3952 data_time: 0.0168 memory: 17007 grad_norm: 5.3185 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6067 loss: 2.6067 2022/07/27 05:43:29 - mmengine - INFO - Epoch(train) [30][2760/3757] lr: 9.3731e-03 eta: 2 days, 13:42:32 time: 0.4024 data_time: 0.0154 memory: 17007 grad_norm: 5.3695 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5428 loss: 2.5428 2022/07/27 05:43:36 - mmengine - INFO - Epoch(train) [30][2780/3757] lr: 9.3731e-03 eta: 2 days, 13:42:24 time: 0.3936 data_time: 0.0168 memory: 17007 grad_norm: 5.2263 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9523 loss: 2.9523 2022/07/27 05:43:44 - mmengine - INFO - Epoch(train) [30][2800/3757] lr: 9.3731e-03 eta: 2 days, 13:42:16 time: 0.3910 data_time: 0.0154 memory: 17007 grad_norm: 5.1076 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8151 loss: 2.8151 2022/07/27 05:43:52 - mmengine - INFO - Epoch(train) [30][2820/3757] lr: 9.3731e-03 eta: 2 days, 13:42:08 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 5.1248 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8531 loss: 2.8531 2022/07/27 05:44:00 - mmengine - INFO - Epoch(train) [30][2840/3757] lr: 9.3731e-03 eta: 2 days, 13:42:00 time: 0.3941 data_time: 0.0182 memory: 17007 grad_norm: 5.2674 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7386 loss: 2.7386 2022/07/27 05:44:08 - mmengine - INFO - Epoch(train) [30][2860/3757] lr: 9.3731e-03 eta: 2 days, 13:41:52 time: 0.3950 data_time: 0.0160 memory: 17007 grad_norm: 5.2359 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5665 loss: 2.5665 2022/07/27 05:44:16 - mmengine - INFO - Epoch(train) [30][2880/3757] lr: 9.3731e-03 eta: 2 days, 13:41:45 time: 0.3961 data_time: 0.0166 memory: 17007 grad_norm: 5.4037 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5304 loss: 2.5304 2022/07/27 05:44:24 - mmengine - INFO - Epoch(train) [30][2900/3757] lr: 9.3731e-03 eta: 2 days, 13:41:36 time: 0.3918 data_time: 0.0139 memory: 17007 grad_norm: 5.1864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6723 loss: 2.6723 2022/07/27 05:44:31 - mmengine - INFO - Epoch(train) [30][2920/3757] lr: 9.3731e-03 eta: 2 days, 13:41:28 time: 0.3919 data_time: 0.0158 memory: 17007 grad_norm: 5.1358 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5307 loss: 2.5307 2022/07/27 05:44:39 - mmengine - INFO - Epoch(train) [30][2940/3757] lr: 9.3731e-03 eta: 2 days, 13:41:21 time: 0.3987 data_time: 0.0161 memory: 17007 grad_norm: 5.3307 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6612 loss: 2.6612 2022/07/27 05:44:47 - mmengine - INFO - Epoch(train) [30][2960/3757] lr: 9.3731e-03 eta: 2 days, 13:41:13 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 5.2331 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6870 loss: 2.6870 2022/07/27 05:44:55 - mmengine - INFO - Epoch(train) [30][2980/3757] lr: 9.3731e-03 eta: 2 days, 13:41:05 time: 0.3917 data_time: 0.0147 memory: 17007 grad_norm: 5.3091 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0807 loss: 3.0807 2022/07/27 05:45:03 - mmengine - INFO - Epoch(train) [30][3000/3757] lr: 9.3731e-03 eta: 2 days, 13:40:58 time: 0.3977 data_time: 0.0163 memory: 17007 grad_norm: 5.4479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7532 loss: 2.7532 2022/07/27 05:45:11 - mmengine - INFO - Epoch(train) [30][3020/3757] lr: 9.3731e-03 eta: 2 days, 13:40:50 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 5.4088 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5903 loss: 2.5903 2022/07/27 05:45:19 - mmengine - INFO - Epoch(train) [30][3040/3757] lr: 9.3731e-03 eta: 2 days, 13:40:42 time: 0.3949 data_time: 0.0162 memory: 17007 grad_norm: 5.1731 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6558 loss: 2.6558 2022/07/27 05:45:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:45:27 - mmengine - INFO - Epoch(train) [30][3060/3757] lr: 9.3731e-03 eta: 2 days, 13:40:34 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 5.3109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5756 loss: 2.5756 2022/07/27 05:45:35 - mmengine - INFO - Epoch(train) [30][3080/3757] lr: 9.3731e-03 eta: 2 days, 13:40:26 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 5.2958 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0332 loss: 3.0332 2022/07/27 05:45:42 - mmengine - INFO - Epoch(train) [30][3100/3757] lr: 9.3731e-03 eta: 2 days, 13:40:18 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 5.4314 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8026 loss: 2.8026 2022/07/27 05:45:50 - mmengine - INFO - Epoch(train) [30][3120/3757] lr: 9.3731e-03 eta: 2 days, 13:40:10 time: 0.3932 data_time: 0.0170 memory: 17007 grad_norm: 5.3048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7070 loss: 2.7070 2022/07/27 05:45:58 - mmengine - INFO - Epoch(train) [30][3140/3757] lr: 9.3731e-03 eta: 2 days, 13:40:02 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 5.3072 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5393 loss: 2.5393 2022/07/27 05:46:06 - mmengine - INFO - Epoch(train) [30][3160/3757] lr: 9.3731e-03 eta: 2 days, 13:39:54 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 5.1997 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3697 loss: 2.3697 2022/07/27 05:46:14 - mmengine - INFO - Epoch(train) [30][3180/3757] lr: 9.3731e-03 eta: 2 days, 13:39:46 time: 0.3916 data_time: 0.0155 memory: 17007 grad_norm: 5.2629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6706 loss: 2.6706 2022/07/27 05:46:22 - mmengine - INFO - Epoch(train) [30][3200/3757] lr: 9.3731e-03 eta: 2 days, 13:39:38 time: 0.3958 data_time: 0.0172 memory: 17007 grad_norm: 5.3520 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7554 loss: 2.7554 2022/07/27 05:46:30 - mmengine - INFO - Epoch(train) [30][3220/3757] lr: 9.3731e-03 eta: 2 days, 13:39:30 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 5.1648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7135 loss: 2.7135 2022/07/27 05:46:37 - mmengine - INFO - Epoch(train) [30][3240/3757] lr: 9.3731e-03 eta: 2 days, 13:39:23 time: 0.3949 data_time: 0.0172 memory: 17007 grad_norm: 5.3390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6729 loss: 2.6729 2022/07/27 05:46:45 - mmengine - INFO - Epoch(train) [30][3260/3757] lr: 9.3731e-03 eta: 2 days, 13:39:15 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 5.2708 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8231 loss: 2.8231 2022/07/27 05:46:53 - mmengine - INFO - Epoch(train) [30][3280/3757] lr: 9.3731e-03 eta: 2 days, 13:39:07 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 5.2862 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8417 loss: 2.8417 2022/07/27 05:47:01 - mmengine - INFO - Epoch(train) [30][3300/3757] lr: 9.3731e-03 eta: 2 days, 13:38:59 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 5.1339 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5696 loss: 2.5696 2022/07/27 05:47:09 - mmengine - INFO - Epoch(train) [30][3320/3757] lr: 9.3731e-03 eta: 2 days, 13:38:51 time: 0.3958 data_time: 0.0179 memory: 17007 grad_norm: 5.3371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2048 loss: 2.2048 2022/07/27 05:47:17 - mmengine - INFO - Epoch(train) [30][3340/3757] lr: 9.3731e-03 eta: 2 days, 13:38:44 time: 0.4026 data_time: 0.0158 memory: 17007 grad_norm: 5.3564 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7851 loss: 2.7851 2022/07/27 05:47:25 - mmengine - INFO - Epoch(train) [30][3360/3757] lr: 9.3731e-03 eta: 2 days, 13:38:36 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 5.2306 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6656 loss: 2.6656 2022/07/27 05:47:33 - mmengine - INFO - Epoch(train) [30][3380/3757] lr: 9.3731e-03 eta: 2 days, 13:38:28 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 5.2074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6448 loss: 2.6448 2022/07/27 05:47:41 - mmengine - INFO - Epoch(train) [30][3400/3757] lr: 9.3731e-03 eta: 2 days, 13:38:22 time: 0.4040 data_time: 0.0166 memory: 17007 grad_norm: 5.3011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5606 loss: 2.5606 2022/07/27 05:47:49 - mmengine - INFO - Epoch(train) [30][3420/3757] lr: 9.3731e-03 eta: 2 days, 13:38:14 time: 0.3945 data_time: 0.0150 memory: 17007 grad_norm: 5.4626 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9190 loss: 2.9190 2022/07/27 05:47:57 - mmengine - INFO - Epoch(train) [30][3440/3757] lr: 9.3731e-03 eta: 2 days, 13:38:06 time: 0.3936 data_time: 0.0169 memory: 17007 grad_norm: 5.1276 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6217 loss: 2.6217 2022/07/27 05:48:04 - mmengine - INFO - Epoch(train) [30][3460/3757] lr: 9.3731e-03 eta: 2 days, 13:37:58 time: 0.3918 data_time: 0.0143 memory: 17007 grad_norm: 5.3165 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5685 loss: 2.5685 2022/07/27 05:48:12 - mmengine - INFO - Epoch(train) [30][3480/3757] lr: 9.3731e-03 eta: 2 days, 13:37:50 time: 0.3929 data_time: 0.0149 memory: 17007 grad_norm: 5.1495 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4310 loss: 2.4310 2022/07/27 05:48:20 - mmengine - INFO - Epoch(train) [30][3500/3757] lr: 9.3731e-03 eta: 2 days, 13:37:42 time: 0.3952 data_time: 0.0169 memory: 17007 grad_norm: 5.1077 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9677 loss: 2.9677 2022/07/27 05:48:28 - mmengine - INFO - Epoch(train) [30][3520/3757] lr: 9.3731e-03 eta: 2 days, 13:37:34 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 5.3566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4664 loss: 2.4664 2022/07/27 05:48:36 - mmengine - INFO - Epoch(train) [30][3540/3757] lr: 9.3731e-03 eta: 2 days, 13:37:26 time: 0.3899 data_time: 0.0145 memory: 17007 grad_norm: 5.2500 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6639 loss: 2.6639 2022/07/27 05:48:44 - mmengine - INFO - Epoch(train) [30][3560/3757] lr: 9.3731e-03 eta: 2 days, 13:37:18 time: 0.3933 data_time: 0.0161 memory: 17007 grad_norm: 5.3108 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5914 loss: 2.5914 2022/07/27 05:48:52 - mmengine - INFO - Epoch(train) [30][3580/3757] lr: 9.3731e-03 eta: 2 days, 13:37:11 time: 0.3975 data_time: 0.0145 memory: 17007 grad_norm: 5.1970 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.6295 loss: 2.6295 2022/07/27 05:49:00 - mmengine - INFO - Epoch(train) [30][3600/3757] lr: 9.3731e-03 eta: 2 days, 13:37:03 time: 0.3935 data_time: 0.0171 memory: 17007 grad_norm: 5.2229 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0272 loss: 3.0272 2022/07/27 05:49:08 - mmengine - INFO - Epoch(train) [30][3620/3757] lr: 9.3731e-03 eta: 2 days, 13:36:56 time: 0.4026 data_time: 0.0164 memory: 17007 grad_norm: 5.2210 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4153 loss: 2.4153 2022/07/27 05:49:15 - mmengine - INFO - Epoch(train) [30][3640/3757] lr: 9.3731e-03 eta: 2 days, 13:36:48 time: 0.3919 data_time: 0.0163 memory: 17007 grad_norm: 5.0292 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4243 loss: 2.4243 2022/07/27 05:49:23 - mmengine - INFO - Epoch(train) [30][3660/3757] lr: 9.3731e-03 eta: 2 days, 13:36:40 time: 0.3971 data_time: 0.0149 memory: 17007 grad_norm: 5.2784 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1457 loss: 3.1457 2022/07/27 05:49:31 - mmengine - INFO - Epoch(train) [30][3680/3757] lr: 9.3731e-03 eta: 2 days, 13:36:32 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 5.3058 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9109 loss: 2.9109 2022/07/27 05:49:39 - mmengine - INFO - Epoch(train) [30][3700/3757] lr: 9.3731e-03 eta: 2 days, 13:36:24 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 5.2301 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6449 loss: 2.6449 2022/07/27 05:49:47 - mmengine - INFO - Epoch(train) [30][3720/3757] lr: 9.3731e-03 eta: 2 days, 13:36:17 time: 0.4000 data_time: 0.0158 memory: 17007 grad_norm: 5.3600 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6896 loss: 2.6896 2022/07/27 05:49:55 - mmengine - INFO - Epoch(train) [30][3740/3757] lr: 9.3731e-03 eta: 2 days, 13:36:09 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 5.1615 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6427 loss: 2.6427 2022/07/27 05:50:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:50:02 - mmengine - INFO - Epoch(train) [30][3757/3757] lr: 9.3731e-03 eta: 2 days, 13:36:09 time: 0.3920 data_time: 0.0171 memory: 17007 grad_norm: 5.3001 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.9345 loss: 2.9345 2022/07/27 05:50:02 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/07/27 05:50:13 - mmengine - INFO - Epoch(train) [31][20/3757] lr: 9.3301e-03 eta: 2 days, 13:35:26 time: 0.4375 data_time: 0.0608 memory: 17007 grad_norm: 5.2173 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8824 loss: 2.8824 2022/07/27 05:50:21 - mmengine - INFO - Epoch(train) [31][40/3757] lr: 9.3301e-03 eta: 2 days, 13:35:18 time: 0.3937 data_time: 0.0162 memory: 17007 grad_norm: 5.1736 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4662 loss: 2.4662 2022/07/27 05:50:29 - mmengine - INFO - Epoch(train) [31][60/3757] lr: 9.3301e-03 eta: 2 days, 13:35:10 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 5.1173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5385 loss: 2.5385 2022/07/27 05:50:37 - mmengine - INFO - Epoch(train) [31][80/3757] lr: 9.3301e-03 eta: 2 days, 13:35:02 time: 0.3941 data_time: 0.0155 memory: 17007 grad_norm: 5.3314 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8558 loss: 2.8558 2022/07/27 05:50:44 - mmengine - INFO - Epoch(train) [31][100/3757] lr: 9.3301e-03 eta: 2 days, 13:34:54 time: 0.3918 data_time: 0.0136 memory: 17007 grad_norm: 5.1990 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7682 loss: 2.7682 2022/07/27 05:50:52 - mmengine - INFO - Epoch(train) [31][120/3757] lr: 9.3301e-03 eta: 2 days, 13:34:46 time: 0.3903 data_time: 0.0149 memory: 17007 grad_norm: 5.3838 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9826 loss: 2.9826 2022/07/27 05:51:00 - mmengine - INFO - Epoch(train) [31][140/3757] lr: 9.3301e-03 eta: 2 days, 13:34:38 time: 0.3937 data_time: 0.0155 memory: 17007 grad_norm: 5.2674 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8110 loss: 2.8110 2022/07/27 05:51:08 - mmengine - INFO - Epoch(train) [31][160/3757] lr: 9.3301e-03 eta: 2 days, 13:34:30 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 5.2140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6970 loss: 2.6970 2022/07/27 05:51:16 - mmengine - INFO - Epoch(train) [31][180/3757] lr: 9.3301e-03 eta: 2 days, 13:34:22 time: 0.3910 data_time: 0.0138 memory: 17007 grad_norm: 5.2205 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6769 loss: 2.6769 2022/07/27 05:51:24 - mmengine - INFO - Epoch(train) [31][200/3757] lr: 9.3301e-03 eta: 2 days, 13:34:15 time: 0.3985 data_time: 0.0166 memory: 17007 grad_norm: 5.3650 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9413 loss: 2.9413 2022/07/27 05:51:32 - mmengine - INFO - Epoch(train) [31][220/3757] lr: 9.3301e-03 eta: 2 days, 13:34:06 time: 0.3906 data_time: 0.0139 memory: 17007 grad_norm: 5.3464 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6050 loss: 2.6050 2022/07/27 05:51:40 - mmengine - INFO - Epoch(train) [31][240/3757] lr: 9.3301e-03 eta: 2 days, 13:33:59 time: 0.4000 data_time: 0.0168 memory: 17007 grad_norm: 5.4530 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5880 loss: 2.5880 2022/07/27 05:51:47 - mmengine - INFO - Epoch(train) [31][260/3757] lr: 9.3301e-03 eta: 2 days, 13:33:51 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 5.3757 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6395 loss: 2.6395 2022/07/27 05:51:55 - mmengine - INFO - Epoch(train) [31][280/3757] lr: 9.3301e-03 eta: 2 days, 13:33:43 time: 0.3910 data_time: 0.0150 memory: 17007 grad_norm: 5.2231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8363 loss: 2.8363 2022/07/27 05:51:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:52:03 - mmengine - INFO - Epoch(train) [31][300/3757] lr: 9.3301e-03 eta: 2 days, 13:33:36 time: 0.3980 data_time: 0.0156 memory: 17007 grad_norm: 5.2669 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5804 loss: 2.5804 2022/07/27 05:52:11 - mmengine - INFO - Epoch(train) [31][320/3757] lr: 9.3301e-03 eta: 2 days, 13:33:28 time: 0.3924 data_time: 0.0159 memory: 17007 grad_norm: 5.2709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8018 loss: 2.8018 2022/07/27 05:52:19 - mmengine - INFO - Epoch(train) [31][340/3757] lr: 9.3301e-03 eta: 2 days, 13:33:20 time: 0.3986 data_time: 0.0161 memory: 17007 grad_norm: 5.3707 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5318 loss: 2.5318 2022/07/27 05:52:27 - mmengine - INFO - Epoch(train) [31][360/3757] lr: 9.3301e-03 eta: 2 days, 13:33:12 time: 0.3915 data_time: 0.0157 memory: 17007 grad_norm: 5.2291 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6190 loss: 2.6190 2022/07/27 05:52:35 - mmengine - INFO - Epoch(train) [31][380/3757] lr: 9.3301e-03 eta: 2 days, 13:33:04 time: 0.3904 data_time: 0.0139 memory: 17007 grad_norm: 5.2067 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6678 loss: 2.6678 2022/07/27 05:52:43 - mmengine - INFO - Epoch(train) [31][400/3757] lr: 9.3301e-03 eta: 2 days, 13:32:56 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 5.3580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5490 loss: 2.5490 2022/07/27 05:52:50 - mmengine - INFO - Epoch(train) [31][420/3757] lr: 9.3301e-03 eta: 2 days, 13:32:48 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.1703 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4475 loss: 2.4475 2022/07/27 05:52:58 - mmengine - INFO - Epoch(train) [31][440/3757] lr: 9.3301e-03 eta: 2 days, 13:32:41 time: 0.3981 data_time: 0.0168 memory: 17007 grad_norm: 5.2587 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6042 loss: 2.6042 2022/07/27 05:53:06 - mmengine - INFO - Epoch(train) [31][460/3757] lr: 9.3301e-03 eta: 2 days, 13:32:33 time: 0.3905 data_time: 0.0148 memory: 17007 grad_norm: 5.2588 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5047 loss: 2.5047 2022/07/27 05:53:14 - mmengine - INFO - Epoch(train) [31][480/3757] lr: 9.3301e-03 eta: 2 days, 13:32:25 time: 0.3933 data_time: 0.0164 memory: 17007 grad_norm: 5.3620 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7265 loss: 2.7265 2022/07/27 05:53:22 - mmengine - INFO - Epoch(train) [31][500/3757] lr: 9.3301e-03 eta: 2 days, 13:32:18 time: 0.4006 data_time: 0.0159 memory: 17007 grad_norm: 5.1775 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3800 loss: 2.3800 2022/07/27 05:53:30 - mmengine - INFO - Epoch(train) [31][520/3757] lr: 9.3301e-03 eta: 2 days, 13:32:10 time: 0.3934 data_time: 0.0164 memory: 17007 grad_norm: 5.3740 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3769 loss: 2.3769 2022/07/27 05:53:38 - mmengine - INFO - Epoch(train) [31][540/3757] lr: 9.3301e-03 eta: 2 days, 13:32:02 time: 0.3967 data_time: 0.0156 memory: 17007 grad_norm: 5.3714 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9693 loss: 2.9693 2022/07/27 05:53:46 - mmengine - INFO - Epoch(train) [31][560/3757] lr: 9.3301e-03 eta: 2 days, 13:31:54 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 5.3032 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3715 loss: 2.3715 2022/07/27 05:53:54 - mmengine - INFO - Epoch(train) [31][580/3757] lr: 9.3301e-03 eta: 2 days, 13:31:46 time: 0.3926 data_time: 0.0151 memory: 17007 grad_norm: 5.3906 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5162 loss: 2.5162 2022/07/27 05:54:02 - mmengine - INFO - Epoch(train) [31][600/3757] lr: 9.3301e-03 eta: 2 days, 13:31:39 time: 0.4007 data_time: 0.0165 memory: 17007 grad_norm: 5.1137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7115 loss: 2.7115 2022/07/27 05:54:09 - mmengine - INFO - Epoch(train) [31][620/3757] lr: 9.3301e-03 eta: 2 days, 13:31:31 time: 0.3935 data_time: 0.0165 memory: 17007 grad_norm: 5.4375 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5007 loss: 2.5007 2022/07/27 05:54:17 - mmengine - INFO - Epoch(train) [31][640/3757] lr: 9.3301e-03 eta: 2 days, 13:31:24 time: 0.4019 data_time: 0.0164 memory: 17007 grad_norm: 5.3364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6832 loss: 2.6832 2022/07/27 05:54:25 - mmengine - INFO - Epoch(train) [31][660/3757] lr: 9.3301e-03 eta: 2 days, 13:31:16 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 5.1802 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5992 loss: 2.5992 2022/07/27 05:54:33 - mmengine - INFO - Epoch(train) [31][680/3757] lr: 9.3301e-03 eta: 2 days, 13:31:08 time: 0.3916 data_time: 0.0175 memory: 17007 grad_norm: 5.3733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7027 loss: 2.7027 2022/07/27 05:54:41 - mmengine - INFO - Epoch(train) [31][700/3757] lr: 9.3301e-03 eta: 2 days, 13:31:00 time: 0.3940 data_time: 0.0147 memory: 17007 grad_norm: 5.4021 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6853 loss: 2.6853 2022/07/27 05:54:49 - mmengine - INFO - Epoch(train) [31][720/3757] lr: 9.3301e-03 eta: 2 days, 13:30:52 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 5.4277 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5695 loss: 2.5695 2022/07/27 05:54:57 - mmengine - INFO - Epoch(train) [31][740/3757] lr: 9.3301e-03 eta: 2 days, 13:30:44 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 5.3475 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7481 loss: 2.7481 2022/07/27 05:55:05 - mmengine - INFO - Epoch(train) [31][760/3757] lr: 9.3301e-03 eta: 2 days, 13:30:36 time: 0.3934 data_time: 0.0167 memory: 17007 grad_norm: 5.2664 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7249 loss: 2.7249 2022/07/27 05:55:12 - mmengine - INFO - Epoch(train) [31][780/3757] lr: 9.3301e-03 eta: 2 days, 13:30:28 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 5.1485 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3912 loss: 2.3912 2022/07/27 05:55:20 - mmengine - INFO - Epoch(train) [31][800/3757] lr: 9.3301e-03 eta: 2 days, 13:30:21 time: 0.3947 data_time: 0.0166 memory: 17007 grad_norm: 5.1388 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2318 loss: 3.2318 2022/07/27 05:55:28 - mmengine - INFO - Epoch(train) [31][820/3757] lr: 9.3301e-03 eta: 2 days, 13:30:13 time: 0.3918 data_time: 0.0155 memory: 17007 grad_norm: 5.3111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3961 loss: 2.3961 2022/07/27 05:55:36 - mmengine - INFO - Epoch(train) [31][840/3757] lr: 9.3301e-03 eta: 2 days, 13:30:05 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 5.3449 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4157 loss: 2.4157 2022/07/27 05:55:44 - mmengine - INFO - Epoch(train) [31][860/3757] lr: 9.3301e-03 eta: 2 days, 13:29:57 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 5.4063 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9120 loss: 2.9120 2022/07/27 05:55:52 - mmengine - INFO - Epoch(train) [31][880/3757] lr: 9.3301e-03 eta: 2 days, 13:29:49 time: 0.3932 data_time: 0.0168 memory: 17007 grad_norm: 5.2870 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7511 loss: 2.7511 2022/07/27 05:56:00 - mmengine - INFO - Epoch(train) [31][900/3757] lr: 9.3301e-03 eta: 2 days, 13:29:42 time: 0.3993 data_time: 0.0168 memory: 17007 grad_norm: 5.2588 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7575 loss: 2.7575 2022/07/27 05:56:08 - mmengine - INFO - Epoch(train) [31][920/3757] lr: 9.3301e-03 eta: 2 days, 13:29:34 time: 0.3933 data_time: 0.0164 memory: 17007 grad_norm: 5.4859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8234 loss: 2.8234 2022/07/27 05:56:15 - mmengine - INFO - Epoch(train) [31][940/3757] lr: 9.3301e-03 eta: 2 days, 13:29:26 time: 0.3918 data_time: 0.0148 memory: 17007 grad_norm: 5.1385 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6871 loss: 2.6871 2022/07/27 05:56:23 - mmengine - INFO - Epoch(train) [31][960/3757] lr: 9.3301e-03 eta: 2 days, 13:29:18 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 5.3017 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2487 loss: 2.2487 2022/07/27 05:56:31 - mmengine - INFO - Epoch(train) [31][980/3757] lr: 9.3301e-03 eta: 2 days, 13:29:10 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 5.1265 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5966 loss: 2.5966 2022/07/27 05:56:39 - mmengine - INFO - Epoch(train) [31][1000/3757] lr: 9.3301e-03 eta: 2 days, 13:29:02 time: 0.3951 data_time: 0.0166 memory: 17007 grad_norm: 5.5436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4422 loss: 2.4422 2022/07/27 05:56:47 - mmengine - INFO - Epoch(train) [31][1020/3757] lr: 9.3301e-03 eta: 2 days, 13:28:54 time: 0.3906 data_time: 0.0141 memory: 17007 grad_norm: 5.3211 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9255 loss: 2.9255 2022/07/27 05:56:55 - mmengine - INFO - Epoch(train) [31][1040/3757] lr: 9.3301e-03 eta: 2 days, 13:28:46 time: 0.3992 data_time: 0.0149 memory: 17007 grad_norm: 5.1993 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9708 loss: 2.9708 2022/07/27 05:57:03 - mmengine - INFO - Epoch(train) [31][1060/3757] lr: 9.3301e-03 eta: 2 days, 13:28:39 time: 0.3985 data_time: 0.0170 memory: 17007 grad_norm: 5.4631 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7160 loss: 2.7160 2022/07/27 05:57:11 - mmengine - INFO - Epoch(train) [31][1080/3757] lr: 9.3301e-03 eta: 2 days, 13:28:31 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 5.3418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9360 loss: 2.9360 2022/07/27 05:57:19 - mmengine - INFO - Epoch(train) [31][1100/3757] lr: 9.3301e-03 eta: 2 days, 13:28:23 time: 0.3917 data_time: 0.0149 memory: 17007 grad_norm: 5.2385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7550 loss: 2.7550 2022/07/27 05:57:26 - mmengine - INFO - Epoch(train) [31][1120/3757] lr: 9.3301e-03 eta: 2 days, 13:28:15 time: 0.3914 data_time: 0.0150 memory: 17007 grad_norm: 5.1976 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7857 loss: 2.7857 2022/07/27 05:57:34 - mmengine - INFO - Epoch(train) [31][1140/3757] lr: 9.3301e-03 eta: 2 days, 13:28:07 time: 0.3910 data_time: 0.0160 memory: 17007 grad_norm: 5.2385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3775 loss: 2.3775 2022/07/27 05:57:42 - mmengine - INFO - Epoch(train) [31][1160/3757] lr: 9.3301e-03 eta: 2 days, 13:27:59 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 5.3469 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7683 loss: 2.7683 2022/07/27 05:57:50 - mmengine - INFO - Epoch(train) [31][1180/3757] lr: 9.3301e-03 eta: 2 days, 13:27:51 time: 0.3908 data_time: 0.0155 memory: 17007 grad_norm: 5.2878 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4087 loss: 2.4087 2022/07/27 05:57:58 - mmengine - INFO - Epoch(train) [31][1200/3757] lr: 9.3301e-03 eta: 2 days, 13:27:43 time: 0.3944 data_time: 0.0167 memory: 17007 grad_norm: 5.2992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5868 loss: 2.5868 2022/07/27 05:58:06 - mmengine - INFO - Epoch(train) [31][1220/3757] lr: 9.3301e-03 eta: 2 days, 13:27:35 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 5.2877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6202 loss: 2.6202 2022/07/27 05:58:14 - mmengine - INFO - Epoch(train) [31][1240/3757] lr: 9.3301e-03 eta: 2 days, 13:27:27 time: 0.3946 data_time: 0.0157 memory: 17007 grad_norm: 5.2571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6533 loss: 2.6533 2022/07/27 05:58:21 - mmengine - INFO - Epoch(train) [31][1260/3757] lr: 9.3301e-03 eta: 2 days, 13:27:19 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 5.3110 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9397 loss: 2.9397 2022/07/27 05:58:29 - mmengine - INFO - Epoch(train) [31][1280/3757] lr: 9.3301e-03 eta: 2 days, 13:27:12 time: 0.3978 data_time: 0.0192 memory: 17007 grad_norm: 5.5068 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7812 loss: 2.7812 2022/07/27 05:58:33 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 05:58:37 - mmengine - INFO - Epoch(train) [31][1300/3757] lr: 9.3301e-03 eta: 2 days, 13:27:04 time: 0.3936 data_time: 0.0152 memory: 17007 grad_norm: 5.3968 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0254 loss: 3.0254 2022/07/27 05:58:45 - mmengine - INFO - Epoch(train) [31][1320/3757] lr: 9.3301e-03 eta: 2 days, 13:26:56 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 5.4172 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8939 loss: 2.8939 2022/07/27 05:58:53 - mmengine - INFO - Epoch(train) [31][1340/3757] lr: 9.3301e-03 eta: 2 days, 13:26:48 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 5.6335 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8308 loss: 2.8308 2022/07/27 05:59:01 - mmengine - INFO - Epoch(train) [31][1360/3757] lr: 9.3301e-03 eta: 2 days, 13:26:41 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 5.4414 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1760 loss: 3.1760 2022/07/27 05:59:09 - mmengine - INFO - Epoch(train) [31][1380/3757] lr: 9.3301e-03 eta: 2 days, 13:26:34 time: 0.4048 data_time: 0.0164 memory: 17007 grad_norm: 5.3028 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6887 loss: 2.6887 2022/07/27 05:59:17 - mmengine - INFO - Epoch(train) [31][1400/3757] lr: 9.3301e-03 eta: 2 days, 13:26:26 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 5.4424 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0882 loss: 3.0882 2022/07/27 05:59:25 - mmengine - INFO - Epoch(train) [31][1420/3757] lr: 9.3301e-03 eta: 2 days, 13:26:18 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 5.3630 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7414 loss: 2.7414 2022/07/27 05:59:33 - mmengine - INFO - Epoch(train) [31][1440/3757] lr: 9.3301e-03 eta: 2 days, 13:26:10 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 5.2943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6275 loss: 2.6275 2022/07/27 05:59:40 - mmengine - INFO - Epoch(train) [31][1460/3757] lr: 9.3301e-03 eta: 2 days, 13:26:02 time: 0.3971 data_time: 0.0164 memory: 17007 grad_norm: 5.4329 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7591 loss: 2.7591 2022/07/27 05:59:49 - mmengine - INFO - Epoch(train) [31][1480/3757] lr: 9.3301e-03 eta: 2 days, 13:25:56 time: 0.4094 data_time: 0.0141 memory: 17007 grad_norm: 5.2757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4454 loss: 2.4454 2022/07/27 05:59:56 - mmengine - INFO - Epoch(train) [31][1500/3757] lr: 9.3301e-03 eta: 2 days, 13:25:48 time: 0.3912 data_time: 0.0148 memory: 17007 grad_norm: 5.4537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4395 loss: 2.4395 2022/07/27 06:00:08 - mmengine - INFO - Epoch(train) [31][1520/3757] lr: 9.3301e-03 eta: 2 days, 13:25:57 time: 0.5599 data_time: 0.0253 memory: 17007 grad_norm: 5.3551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6407 loss: 2.6407 2022/07/27 06:00:16 - mmengine - INFO - Epoch(train) [31][1540/3757] lr: 9.3301e-03 eta: 2 days, 13:25:49 time: 0.3943 data_time: 0.0167 memory: 17007 grad_norm: 5.2993 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6881 loss: 2.6881 2022/07/27 06:00:24 - mmengine - INFO - Epoch(train) [31][1560/3757] lr: 9.3301e-03 eta: 2 days, 13:25:41 time: 0.3988 data_time: 0.0162 memory: 17007 grad_norm: 5.4058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7908 loss: 2.7908 2022/07/27 06:00:31 - mmengine - INFO - Epoch(train) [31][1580/3757] lr: 9.3301e-03 eta: 2 days, 13:25:34 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 5.2938 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5482 loss: 2.5482 2022/07/27 06:00:39 - mmengine - INFO - Epoch(train) [31][1600/3757] lr: 9.3301e-03 eta: 2 days, 13:25:26 time: 0.4020 data_time: 0.0174 memory: 17007 grad_norm: 5.1816 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7041 loss: 2.7041 2022/07/27 06:00:47 - mmengine - INFO - Epoch(train) [31][1620/3757] lr: 9.3301e-03 eta: 2 days, 13:25:18 time: 0.3921 data_time: 0.0159 memory: 17007 grad_norm: 5.6325 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 3.0465 loss: 3.0465 2022/07/27 06:00:55 - mmengine - INFO - Epoch(train) [31][1640/3757] lr: 9.3301e-03 eta: 2 days, 13:25:10 time: 0.3919 data_time: 0.0148 memory: 17007 grad_norm: 5.2374 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7124 loss: 2.7124 2022/07/27 06:01:03 - mmengine - INFO - Epoch(train) [31][1660/3757] lr: 9.3301e-03 eta: 2 days, 13:25:03 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 5.2102 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6291 loss: 2.6291 2022/07/27 06:01:11 - mmengine - INFO - Epoch(train) [31][1680/3757] lr: 9.3301e-03 eta: 2 days, 13:24:55 time: 0.3936 data_time: 0.0140 memory: 17007 grad_norm: 5.4585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6437 loss: 2.6437 2022/07/27 06:01:19 - mmengine - INFO - Epoch(train) [31][1700/3757] lr: 9.3301e-03 eta: 2 days, 13:24:47 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 5.3177 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7393 loss: 2.7393 2022/07/27 06:01:27 - mmengine - INFO - Epoch(train) [31][1720/3757] lr: 9.3301e-03 eta: 2 days, 13:24:39 time: 0.3909 data_time: 0.0128 memory: 17007 grad_norm: 5.3763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5749 loss: 2.5749 2022/07/27 06:01:35 - mmengine - INFO - Epoch(train) [31][1740/3757] lr: 9.3301e-03 eta: 2 days, 13:24:31 time: 0.3971 data_time: 0.0170 memory: 17007 grad_norm: 5.3921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8344 loss: 2.8344 2022/07/27 06:01:42 - mmengine - INFO - Epoch(train) [31][1760/3757] lr: 9.3301e-03 eta: 2 days, 13:24:23 time: 0.3928 data_time: 0.0134 memory: 17007 grad_norm: 5.3307 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6636 loss: 2.6636 2022/07/27 06:01:50 - mmengine - INFO - Epoch(train) [31][1780/3757] lr: 9.3301e-03 eta: 2 days, 13:24:16 time: 0.3964 data_time: 0.0182 memory: 17007 grad_norm: 5.5783 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5555 loss: 2.5555 2022/07/27 06:01:58 - mmengine - INFO - Epoch(train) [31][1800/3757] lr: 9.3301e-03 eta: 2 days, 13:24:08 time: 0.3921 data_time: 0.0136 memory: 17007 grad_norm: 5.5847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8869 loss: 2.8869 2022/07/27 06:02:06 - mmengine - INFO - Epoch(train) [31][1820/3757] lr: 9.3301e-03 eta: 2 days, 13:24:00 time: 0.3932 data_time: 0.0164 memory: 17007 grad_norm: 5.4416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0215 loss: 3.0215 2022/07/27 06:02:14 - mmengine - INFO - Epoch(train) [31][1840/3757] lr: 9.3301e-03 eta: 2 days, 13:23:52 time: 0.3941 data_time: 0.0132 memory: 17007 grad_norm: 5.2956 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1982 loss: 3.1982 2022/07/27 06:02:22 - mmengine - INFO - Epoch(train) [31][1860/3757] lr: 9.3301e-03 eta: 2 days, 13:23:44 time: 0.3940 data_time: 0.0166 memory: 17007 grad_norm: 5.1921 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9519 loss: 2.9519 2022/07/27 06:02:30 - mmengine - INFO - Epoch(train) [31][1880/3757] lr: 9.3301e-03 eta: 2 days, 13:23:36 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 5.1970 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5756 loss: 2.5756 2022/07/27 06:02:38 - mmengine - INFO - Epoch(train) [31][1900/3757] lr: 9.3301e-03 eta: 2 days, 13:23:29 time: 0.3949 data_time: 0.0172 memory: 17007 grad_norm: 5.2817 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6277 loss: 2.6277 2022/07/27 06:02:45 - mmengine - INFO - Epoch(train) [31][1920/3757] lr: 9.3301e-03 eta: 2 days, 13:23:21 time: 0.3917 data_time: 0.0141 memory: 17007 grad_norm: 5.3476 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9013 loss: 2.9013 2022/07/27 06:02:53 - mmengine - INFO - Epoch(train) [31][1940/3757] lr: 9.3301e-03 eta: 2 days, 13:23:13 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 5.4279 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0884 loss: 3.0884 2022/07/27 06:03:01 - mmengine - INFO - Epoch(train) [31][1960/3757] lr: 9.3301e-03 eta: 2 days, 13:23:05 time: 0.3922 data_time: 0.0137 memory: 17007 grad_norm: 5.4488 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6321 loss: 2.6321 2022/07/27 06:03:09 - mmengine - INFO - Epoch(train) [31][1980/3757] lr: 9.3301e-03 eta: 2 days, 13:22:57 time: 0.3967 data_time: 0.0170 memory: 17007 grad_norm: 5.1891 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0397 loss: 3.0397 2022/07/27 06:03:17 - mmengine - INFO - Epoch(train) [31][2000/3757] lr: 9.3301e-03 eta: 2 days, 13:22:49 time: 0.3913 data_time: 0.0131 memory: 17007 grad_norm: 5.5198 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7990 loss: 2.7990 2022/07/27 06:03:25 - mmengine - INFO - Epoch(train) [31][2020/3757] lr: 9.3301e-03 eta: 2 days, 13:22:41 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 5.3252 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7031 loss: 2.7031 2022/07/27 06:03:33 - mmengine - INFO - Epoch(train) [31][2040/3757] lr: 9.3301e-03 eta: 2 days, 13:22:34 time: 0.3950 data_time: 0.0146 memory: 17007 grad_norm: 5.3922 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7277 loss: 2.7277 2022/07/27 06:03:41 - mmengine - INFO - Epoch(train) [31][2060/3757] lr: 9.3301e-03 eta: 2 days, 13:22:26 time: 0.3985 data_time: 0.0166 memory: 17007 grad_norm: 5.2994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6933 loss: 2.6933 2022/07/27 06:03:49 - mmengine - INFO - Epoch(train) [31][2080/3757] lr: 9.3301e-03 eta: 2 days, 13:22:19 time: 0.3965 data_time: 0.0144 memory: 17007 grad_norm: 5.1871 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6147 loss: 2.6147 2022/07/27 06:03:56 - mmengine - INFO - Epoch(train) [31][2100/3757] lr: 9.3301e-03 eta: 2 days, 13:22:10 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 5.3232 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7636 loss: 2.7636 2022/07/27 06:04:04 - mmengine - INFO - Epoch(train) [31][2120/3757] lr: 9.3301e-03 eta: 2 days, 13:22:02 time: 0.3910 data_time: 0.0135 memory: 17007 grad_norm: 5.1117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5262 loss: 2.5262 2022/07/27 06:04:12 - mmengine - INFO - Epoch(train) [31][2140/3757] lr: 9.3301e-03 eta: 2 days, 13:21:55 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 5.3438 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5901 loss: 2.5901 2022/07/27 06:04:20 - mmengine - INFO - Epoch(train) [31][2160/3757] lr: 9.3301e-03 eta: 2 days, 13:21:46 time: 0.3911 data_time: 0.0136 memory: 17007 grad_norm: 5.2911 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8516 loss: 2.8516 2022/07/27 06:04:28 - mmengine - INFO - Epoch(train) [31][2180/3757] lr: 9.3301e-03 eta: 2 days, 13:21:39 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 5.3519 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7494 loss: 2.7494 2022/07/27 06:04:36 - mmengine - INFO - Epoch(train) [31][2200/3757] lr: 9.3301e-03 eta: 2 days, 13:21:30 time: 0.3907 data_time: 0.0141 memory: 17007 grad_norm: 5.3562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5597 loss: 2.5597 2022/07/27 06:04:44 - mmengine - INFO - Epoch(train) [31][2220/3757] lr: 9.3301e-03 eta: 2 days, 13:21:23 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 5.4113 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6458 loss: 2.6458 2022/07/27 06:04:51 - mmengine - INFO - Epoch(train) [31][2240/3757] lr: 9.3301e-03 eta: 2 days, 13:21:15 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 5.7622 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6525 loss: 2.6525 2022/07/27 06:04:59 - mmengine - INFO - Epoch(train) [31][2260/3757] lr: 9.3301e-03 eta: 2 days, 13:21:07 time: 0.3947 data_time: 0.0169 memory: 17007 grad_norm: 5.4141 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8003 loss: 2.8003 2022/07/27 06:05:07 - mmengine - INFO - Epoch(train) [31][2280/3757] lr: 9.3301e-03 eta: 2 days, 13:20:59 time: 0.3911 data_time: 0.0135 memory: 17007 grad_norm: 5.3326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9022 loss: 2.9022 2022/07/27 06:05:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:05:15 - mmengine - INFO - Epoch(train) [31][2300/3757] lr: 9.3301e-03 eta: 2 days, 13:20:51 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 5.2990 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5229 loss: 2.5229 2022/07/27 06:05:23 - mmengine - INFO - Epoch(train) [31][2320/3757] lr: 9.3301e-03 eta: 2 days, 13:20:43 time: 0.3907 data_time: 0.0129 memory: 17007 grad_norm: 5.2670 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4518 loss: 2.4518 2022/07/27 06:05:31 - mmengine - INFO - Epoch(train) [31][2340/3757] lr: 9.3301e-03 eta: 2 days, 13:20:35 time: 0.3939 data_time: 0.0172 memory: 17007 grad_norm: 5.2949 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9789 loss: 2.9789 2022/07/27 06:05:39 - mmengine - INFO - Epoch(train) [31][2360/3757] lr: 9.3301e-03 eta: 2 days, 13:20:27 time: 0.3947 data_time: 0.0137 memory: 17007 grad_norm: 5.3223 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5333 loss: 2.5333 2022/07/27 06:05:47 - mmengine - INFO - Epoch(train) [31][2380/3757] lr: 9.3301e-03 eta: 2 days, 13:20:20 time: 0.3959 data_time: 0.0179 memory: 17007 grad_norm: 5.2819 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9486 loss: 2.9486 2022/07/27 06:05:54 - mmengine - INFO - Epoch(train) [31][2400/3757] lr: 9.3301e-03 eta: 2 days, 13:20:12 time: 0.3941 data_time: 0.0133 memory: 17007 grad_norm: 5.3276 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7471 loss: 2.7471 2022/07/27 06:06:02 - mmengine - INFO - Epoch(train) [31][2420/3757] lr: 9.3301e-03 eta: 2 days, 13:20:04 time: 0.3953 data_time: 0.0171 memory: 17007 grad_norm: 5.1370 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4531 loss: 2.4531 2022/07/27 06:06:10 - mmengine - INFO - Epoch(train) [31][2440/3757] lr: 9.3301e-03 eta: 2 days, 13:19:56 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 5.3324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4240 loss: 2.4240 2022/07/27 06:06:18 - mmengine - INFO - Epoch(train) [31][2460/3757] lr: 9.3301e-03 eta: 2 days, 13:19:48 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 5.6084 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0914 loss: 3.0914 2022/07/27 06:06:26 - mmengine - INFO - Epoch(train) [31][2480/3757] lr: 9.3301e-03 eta: 2 days, 13:19:40 time: 0.3920 data_time: 0.0130 memory: 17007 grad_norm: 5.4057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7611 loss: 2.7611 2022/07/27 06:06:34 - mmengine - INFO - Epoch(train) [31][2500/3757] lr: 9.3301e-03 eta: 2 days, 13:19:32 time: 0.3920 data_time: 0.0161 memory: 17007 grad_norm: 5.2842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9916 loss: 2.9916 2022/07/27 06:06:42 - mmengine - INFO - Epoch(train) [31][2520/3757] lr: 9.3301e-03 eta: 2 days, 13:19:25 time: 0.3947 data_time: 0.0138 memory: 17007 grad_norm: 5.5413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1641 loss: 3.1641 2022/07/27 06:06:50 - mmengine - INFO - Epoch(train) [31][2540/3757] lr: 9.3301e-03 eta: 2 days, 13:19:17 time: 0.3956 data_time: 0.0184 memory: 17007 grad_norm: 5.3616 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6664 loss: 2.6664 2022/07/27 06:06:57 - mmengine - INFO - Epoch(train) [31][2560/3757] lr: 9.3301e-03 eta: 2 days, 13:19:09 time: 0.3902 data_time: 0.0131 memory: 17007 grad_norm: 5.4104 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6308 loss: 2.6308 2022/07/27 06:07:05 - mmengine - INFO - Epoch(train) [31][2580/3757] lr: 9.3301e-03 eta: 2 days, 13:19:01 time: 0.3989 data_time: 0.0159 memory: 17007 grad_norm: 5.2598 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6757 loss: 2.6757 2022/07/27 06:07:13 - mmengine - INFO - Epoch(train) [31][2600/3757] lr: 9.3301e-03 eta: 2 days, 13:18:53 time: 0.3923 data_time: 0.0141 memory: 17007 grad_norm: 5.1391 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7450 loss: 2.7450 2022/07/27 06:07:21 - mmengine - INFO - Epoch(train) [31][2620/3757] lr: 9.3301e-03 eta: 2 days, 13:18:46 time: 0.3975 data_time: 0.0176 memory: 17007 grad_norm: 5.3335 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8369 loss: 2.8369 2022/07/27 06:07:29 - mmengine - INFO - Epoch(train) [31][2640/3757] lr: 9.3301e-03 eta: 2 days, 13:18:38 time: 0.3910 data_time: 0.0147 memory: 17007 grad_norm: 5.2802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6939 loss: 2.6939 2022/07/27 06:07:37 - mmengine - INFO - Epoch(train) [31][2660/3757] lr: 9.3301e-03 eta: 2 days, 13:18:30 time: 0.3930 data_time: 0.0164 memory: 17007 grad_norm: 5.3162 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6478 loss: 2.6478 2022/07/27 06:07:45 - mmengine - INFO - Epoch(train) [31][2680/3757] lr: 9.3301e-03 eta: 2 days, 13:18:22 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 5.4790 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5351 loss: 2.5351 2022/07/27 06:07:53 - mmengine - INFO - Epoch(train) [31][2700/3757] lr: 9.3301e-03 eta: 2 days, 13:18:14 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 5.4102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9632 loss: 2.9632 2022/07/27 06:08:00 - mmengine - INFO - Epoch(train) [31][2720/3757] lr: 9.3301e-03 eta: 2 days, 13:18:06 time: 0.3926 data_time: 0.0134 memory: 17007 grad_norm: 5.1846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5658 loss: 2.5658 2022/07/27 06:08:08 - mmengine - INFO - Epoch(train) [31][2740/3757] lr: 9.3301e-03 eta: 2 days, 13:17:58 time: 0.3953 data_time: 0.0188 memory: 17007 grad_norm: 5.4336 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5249 loss: 2.5249 2022/07/27 06:08:16 - mmengine - INFO - Epoch(train) [31][2760/3757] lr: 9.3301e-03 eta: 2 days, 13:17:50 time: 0.3915 data_time: 0.0139 memory: 17007 grad_norm: 5.5189 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7068 loss: 2.7068 2022/07/27 06:08:24 - mmengine - INFO - Epoch(train) [31][2780/3757] lr: 9.3301e-03 eta: 2 days, 13:17:42 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 5.4131 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9663 loss: 2.9663 2022/07/27 06:08:32 - mmengine - INFO - Epoch(train) [31][2800/3757] lr: 9.3301e-03 eta: 2 days, 13:17:34 time: 0.3922 data_time: 0.0146 memory: 17007 grad_norm: 5.2562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7515 loss: 2.7515 2022/07/27 06:08:40 - mmengine - INFO - Epoch(train) [31][2820/3757] lr: 9.3301e-03 eta: 2 days, 13:17:27 time: 0.3973 data_time: 0.0166 memory: 17007 grad_norm: 5.4137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6990 loss: 2.6990 2022/07/27 06:08:48 - mmengine - INFO - Epoch(train) [31][2840/3757] lr: 9.3301e-03 eta: 2 days, 13:17:19 time: 0.3904 data_time: 0.0132 memory: 17007 grad_norm: 5.1234 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9479 loss: 2.9479 2022/07/27 06:08:56 - mmengine - INFO - Epoch(train) [31][2860/3757] lr: 9.3301e-03 eta: 2 days, 13:17:11 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 5.2523 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7805 loss: 2.7805 2022/07/27 06:09:03 - mmengine - INFO - Epoch(train) [31][2880/3757] lr: 9.3301e-03 eta: 2 days, 13:17:03 time: 0.3929 data_time: 0.0130 memory: 17007 grad_norm: 5.2699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4203 loss: 2.4203 2022/07/27 06:09:11 - mmengine - INFO - Epoch(train) [31][2900/3757] lr: 9.3301e-03 eta: 2 days, 13:16:55 time: 0.3933 data_time: 0.0170 memory: 17007 grad_norm: 5.2218 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0403 loss: 3.0403 2022/07/27 06:09:19 - mmengine - INFO - Epoch(train) [31][2920/3757] lr: 9.3301e-03 eta: 2 days, 13:16:49 time: 0.4085 data_time: 0.0137 memory: 17007 grad_norm: 5.2062 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6905 loss: 2.6905 2022/07/27 06:09:27 - mmengine - INFO - Epoch(train) [31][2940/3757] lr: 9.3301e-03 eta: 2 days, 13:16:41 time: 0.3920 data_time: 0.0167 memory: 17007 grad_norm: 5.1386 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5505 loss: 2.5505 2022/07/27 06:09:35 - mmengine - INFO - Epoch(train) [31][2960/3757] lr: 9.3301e-03 eta: 2 days, 13:16:33 time: 0.3938 data_time: 0.0142 memory: 17007 grad_norm: 5.2549 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7231 loss: 2.7231 2022/07/27 06:09:43 - mmengine - INFO - Epoch(train) [31][2980/3757] lr: 9.3301e-03 eta: 2 days, 13:16:25 time: 0.3954 data_time: 0.0171 memory: 17007 grad_norm: 5.4736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6311 loss: 2.6311 2022/07/27 06:09:51 - mmengine - INFO - Epoch(train) [31][3000/3757] lr: 9.3301e-03 eta: 2 days, 13:16:17 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 5.2657 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5300 loss: 2.5300 2022/07/27 06:09:59 - mmengine - INFO - Epoch(train) [31][3020/3757] lr: 9.3301e-03 eta: 2 days, 13:16:10 time: 0.3947 data_time: 0.0168 memory: 17007 grad_norm: 5.4478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0727 loss: 3.0727 2022/07/27 06:10:07 - mmengine - INFO - Epoch(train) [31][3040/3757] lr: 9.3301e-03 eta: 2 days, 13:16:01 time: 0.3901 data_time: 0.0134 memory: 17007 grad_norm: 5.3821 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7456 loss: 2.7456 2022/07/27 06:10:15 - mmengine - INFO - Epoch(train) [31][3060/3757] lr: 9.3301e-03 eta: 2 days, 13:15:53 time: 0.3937 data_time: 0.0170 memory: 17007 grad_norm: 5.2493 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8496 loss: 2.8496 2022/07/27 06:10:22 - mmengine - INFO - Epoch(train) [31][3080/3757] lr: 9.3301e-03 eta: 2 days, 13:15:45 time: 0.3910 data_time: 0.0129 memory: 17007 grad_norm: 5.1365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2973 loss: 2.2973 2022/07/27 06:10:30 - mmengine - INFO - Epoch(train) [31][3100/3757] lr: 9.3301e-03 eta: 2 days, 13:15:38 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 5.2632 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9326 loss: 2.9326 2022/07/27 06:10:38 - mmengine - INFO - Epoch(train) [31][3120/3757] lr: 9.3301e-03 eta: 2 days, 13:15:29 time: 0.3906 data_time: 0.0125 memory: 17007 grad_norm: 5.2635 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7916 loss: 2.7916 2022/07/27 06:10:46 - mmengine - INFO - Epoch(train) [31][3140/3757] lr: 9.3301e-03 eta: 2 days, 13:15:22 time: 0.3953 data_time: 0.0175 memory: 17007 grad_norm: 5.5417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6774 loss: 2.6774 2022/07/27 06:10:54 - mmengine - INFO - Epoch(train) [31][3160/3757] lr: 9.3301e-03 eta: 2 days, 13:15:14 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 5.2911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8557 loss: 2.8557 2022/07/27 06:11:02 - mmengine - INFO - Epoch(train) [31][3180/3757] lr: 9.3301e-03 eta: 2 days, 13:15:06 time: 0.3934 data_time: 0.0169 memory: 17007 grad_norm: 5.2738 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8849 loss: 2.8849 2022/07/27 06:11:10 - mmengine - INFO - Epoch(train) [31][3200/3757] lr: 9.3301e-03 eta: 2 days, 13:14:58 time: 0.3920 data_time: 0.0134 memory: 17007 grad_norm: 5.2119 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5161 loss: 2.5161 2022/07/27 06:11:17 - mmengine - INFO - Epoch(train) [31][3220/3757] lr: 9.3301e-03 eta: 2 days, 13:14:50 time: 0.3920 data_time: 0.0164 memory: 17007 grad_norm: 5.3455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6976 loss: 2.6976 2022/07/27 06:11:25 - mmengine - INFO - Epoch(train) [31][3240/3757] lr: 9.3301e-03 eta: 2 days, 13:14:42 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 12.4148 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8278 loss: 2.8278 2022/07/27 06:11:33 - mmengine - INFO - Epoch(train) [31][3260/3757] lr: 9.3301e-03 eta: 2 days, 13:14:34 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 5.3598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7709 loss: 2.7709 2022/07/27 06:11:41 - mmengine - INFO - Epoch(train) [31][3280/3757] lr: 9.3301e-03 eta: 2 days, 13:14:26 time: 0.3946 data_time: 0.0159 memory: 17007 grad_norm: 5.3418 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9286 loss: 2.9286 2022/07/27 06:11:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:11:49 - mmengine - INFO - Epoch(train) [31][3300/3757] lr: 9.3301e-03 eta: 2 days, 13:14:19 time: 0.4025 data_time: 0.0168 memory: 17007 grad_norm: 5.4167 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6359 loss: 2.6359 2022/07/27 06:11:57 - mmengine - INFO - Epoch(train) [31][3320/3757] lr: 9.3301e-03 eta: 2 days, 13:14:11 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 5.5578 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5748 loss: 2.5748 2022/07/27 06:12:05 - mmengine - INFO - Epoch(train) [31][3340/3757] lr: 9.3301e-03 eta: 2 days, 13:14:04 time: 0.3968 data_time: 0.0163 memory: 17007 grad_norm: 5.3726 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7912 loss: 2.7912 2022/07/27 06:12:13 - mmengine - INFO - Epoch(train) [31][3360/3757] lr: 9.3301e-03 eta: 2 days, 13:13:56 time: 0.3915 data_time: 0.0141 memory: 17007 grad_norm: 5.3572 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5210 loss: 2.5210 2022/07/27 06:12:21 - mmengine - INFO - Epoch(train) [31][3380/3757] lr: 9.3301e-03 eta: 2 days, 13:13:48 time: 0.3947 data_time: 0.0176 memory: 17007 grad_norm: 5.4576 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6547 loss: 2.6547 2022/07/27 06:12:28 - mmengine - INFO - Epoch(train) [31][3400/3757] lr: 9.3301e-03 eta: 2 days, 13:13:40 time: 0.3915 data_time: 0.0136 memory: 17007 grad_norm: 5.5144 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0300 loss: 3.0300 2022/07/27 06:12:36 - mmengine - INFO - Epoch(train) [31][3420/3757] lr: 9.3301e-03 eta: 2 days, 13:13:32 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 5.2949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5629 loss: 2.5629 2022/07/27 06:12:45 - mmengine - INFO - Epoch(train) [31][3440/3757] lr: 9.3301e-03 eta: 2 days, 13:13:26 time: 0.4137 data_time: 0.0137 memory: 17007 grad_norm: 5.1317 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4561 loss: 2.4561 2022/07/27 06:12:52 - mmengine - INFO - Epoch(train) [31][3460/3757] lr: 9.3301e-03 eta: 2 days, 13:13:18 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 5.4967 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5111 loss: 2.5111 2022/07/27 06:13:01 - mmengine - INFO - Epoch(train) [31][3480/3757] lr: 9.3301e-03 eta: 2 days, 13:13:13 time: 0.4200 data_time: 0.0154 memory: 17007 grad_norm: 5.3918 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5787 loss: 2.5787 2022/07/27 06:13:09 - mmengine - INFO - Epoch(train) [31][3500/3757] lr: 9.3301e-03 eta: 2 days, 13:13:05 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.4653 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7452 loss: 2.7452 2022/07/27 06:13:16 - mmengine - INFO - Epoch(train) [31][3520/3757] lr: 9.3301e-03 eta: 2 days, 13:12:57 time: 0.3908 data_time: 0.0133 memory: 17007 grad_norm: 5.3775 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6236 loss: 2.6236 2022/07/27 06:13:24 - mmengine - INFO - Epoch(train) [31][3540/3757] lr: 9.3301e-03 eta: 2 days, 13:12:49 time: 0.4005 data_time: 0.0160 memory: 17007 grad_norm: 5.4806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8563 loss: 2.8563 2022/07/27 06:13:32 - mmengine - INFO - Epoch(train) [31][3560/3757] lr: 9.3301e-03 eta: 2 days, 13:12:41 time: 0.3912 data_time: 0.0130 memory: 17007 grad_norm: 5.4678 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7983 loss: 2.7983 2022/07/27 06:13:40 - mmengine - INFO - Epoch(train) [31][3580/3757] lr: 9.3301e-03 eta: 2 days, 13:12:34 time: 0.3943 data_time: 0.0167 memory: 17007 grad_norm: 5.2057 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1799 loss: 3.1799 2022/07/27 06:13:48 - mmengine - INFO - Epoch(train) [31][3600/3757] lr: 9.3301e-03 eta: 2 days, 13:12:25 time: 0.3909 data_time: 0.0131 memory: 17007 grad_norm: 5.3566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7041 loss: 2.7041 2022/07/27 06:13:56 - mmengine - INFO - Epoch(train) [31][3620/3757] lr: 9.3301e-03 eta: 2 days, 13:12:17 time: 0.3926 data_time: 0.0163 memory: 17007 grad_norm: 5.3947 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9244 loss: 2.9244 2022/07/27 06:14:04 - mmengine - INFO - Epoch(train) [31][3640/3757] lr: 9.3301e-03 eta: 2 days, 13:12:09 time: 0.3909 data_time: 0.0135 memory: 17007 grad_norm: 5.4447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4119 loss: 2.4119 2022/07/27 06:14:12 - mmengine - INFO - Epoch(train) [31][3660/3757] lr: 9.3301e-03 eta: 2 days, 13:12:01 time: 0.3920 data_time: 0.0166 memory: 17007 grad_norm: 5.2768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3621 loss: 2.3621 2022/07/27 06:14:19 - mmengine - INFO - Epoch(train) [31][3680/3757] lr: 9.3301e-03 eta: 2 days, 13:11:53 time: 0.3938 data_time: 0.0139 memory: 17007 grad_norm: 5.4317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1940 loss: 3.1940 2022/07/27 06:14:27 - mmengine - INFO - Epoch(train) [31][3700/3757] lr: 9.3301e-03 eta: 2 days, 13:11:45 time: 0.3914 data_time: 0.0160 memory: 17007 grad_norm: 5.6757 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6869 loss: 2.6869 2022/07/27 06:14:35 - mmengine - INFO - Epoch(train) [31][3720/3757] lr: 9.3301e-03 eta: 2 days, 13:11:37 time: 0.3930 data_time: 0.0140 memory: 17007 grad_norm: 5.4954 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5808 loss: 2.5808 2022/07/27 06:14:43 - mmengine - INFO - Epoch(train) [31][3740/3757] lr: 9.3301e-03 eta: 2 days, 13:11:30 time: 0.3943 data_time: 0.0170 memory: 17007 grad_norm: 5.4006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7848 loss: 2.7848 2022/07/27 06:14:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:14:50 - mmengine - INFO - Epoch(train) [31][3757/3757] lr: 9.3301e-03 eta: 2 days, 13:11:30 time: 0.3897 data_time: 0.0143 memory: 17007 grad_norm: 5.5083 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.5744 loss: 2.5744 2022/07/27 06:14:50 - mmengine - INFO - Saving checkpoint at 31 epochs 2022/07/27 06:15:01 - mmengine - INFO - Epoch(train) [32][20/3757] lr: 9.2858e-03 eta: 2 days, 13:10:48 time: 0.4442 data_time: 0.0663 memory: 17007 grad_norm: 5.3395 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6394 loss: 2.6394 2022/07/27 06:15:09 - mmengine - INFO - Epoch(train) [32][40/3757] lr: 9.2858e-03 eta: 2 days, 13:10:41 time: 0.4028 data_time: 0.0225 memory: 17007 grad_norm: 5.2900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7827 loss: 2.7827 2022/07/27 06:15:17 - mmengine - INFO - Epoch(train) [32][60/3757] lr: 9.2858e-03 eta: 2 days, 13:10:33 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 5.2807 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5653 loss: 2.5653 2022/07/27 06:15:25 - mmengine - INFO - Epoch(train) [32][80/3757] lr: 9.2858e-03 eta: 2 days, 13:10:25 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 5.2282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6074 loss: 2.6074 2022/07/27 06:15:33 - mmengine - INFO - Epoch(train) [32][100/3757] lr: 9.2858e-03 eta: 2 days, 13:10:18 time: 0.4030 data_time: 0.0139 memory: 17007 grad_norm: 5.4913 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8863 loss: 2.8863 2022/07/27 06:15:41 - mmengine - INFO - Epoch(train) [32][120/3757] lr: 9.2858e-03 eta: 2 days, 13:10:10 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 5.3264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3795 loss: 2.3795 2022/07/27 06:15:49 - mmengine - INFO - Epoch(train) [32][140/3757] lr: 9.2858e-03 eta: 2 days, 13:10:02 time: 0.3905 data_time: 0.0132 memory: 17007 grad_norm: 5.3334 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5039 loss: 2.5039 2022/07/27 06:15:57 - mmengine - INFO - Epoch(train) [32][160/3757] lr: 9.2858e-03 eta: 2 days, 13:09:54 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 5.3853 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5967 loss: 2.5967 2022/07/27 06:16:05 - mmengine - INFO - Epoch(train) [32][180/3757] lr: 9.2858e-03 eta: 2 days, 13:09:46 time: 0.3946 data_time: 0.0133 memory: 17007 grad_norm: 5.4106 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8403 loss: 2.8403 2022/07/27 06:16:13 - mmengine - INFO - Epoch(train) [32][200/3757] lr: 9.2858e-03 eta: 2 days, 13:09:38 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 5.2798 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6342 loss: 2.6342 2022/07/27 06:16:21 - mmengine - INFO - Epoch(train) [32][220/3757] lr: 9.2858e-03 eta: 2 days, 13:09:31 time: 0.3992 data_time: 0.0146 memory: 17007 grad_norm: 5.4700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5494 loss: 2.5494 2022/07/27 06:16:28 - mmengine - INFO - Epoch(train) [32][240/3757] lr: 9.2858e-03 eta: 2 days, 13:09:23 time: 0.3920 data_time: 0.0162 memory: 17007 grad_norm: 5.3167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3561 loss: 2.3561 2022/07/27 06:16:36 - mmengine - INFO - Epoch(train) [32][260/3757] lr: 9.2858e-03 eta: 2 days, 13:09:15 time: 0.3909 data_time: 0.0137 memory: 17007 grad_norm: 5.3788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4809 loss: 2.4809 2022/07/27 06:16:44 - mmengine - INFO - Epoch(train) [32][280/3757] lr: 9.2858e-03 eta: 2 days, 13:09:08 time: 0.4022 data_time: 0.0167 memory: 17007 grad_norm: 5.3463 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6782 loss: 2.6782 2022/07/27 06:16:52 - mmengine - INFO - Epoch(train) [32][300/3757] lr: 9.2858e-03 eta: 2 days, 13:09:00 time: 0.3906 data_time: 0.0141 memory: 17007 grad_norm: 5.2139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6368 loss: 2.6368 2022/07/27 06:17:00 - mmengine - INFO - Epoch(train) [32][320/3757] lr: 9.2858e-03 eta: 2 days, 13:08:53 time: 0.4066 data_time: 0.0173 memory: 17007 grad_norm: 5.3330 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5240 loss: 2.5240 2022/07/27 06:17:08 - mmengine - INFO - Epoch(train) [32][340/3757] lr: 9.2858e-03 eta: 2 days, 13:08:45 time: 0.3906 data_time: 0.0152 memory: 17007 grad_norm: 5.3455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5767 loss: 2.5767 2022/07/27 06:17:16 - mmengine - INFO - Epoch(train) [32][360/3757] lr: 9.2858e-03 eta: 2 days, 13:08:37 time: 0.3911 data_time: 0.0140 memory: 17007 grad_norm: 5.3065 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6223 loss: 2.6223 2022/07/27 06:17:24 - mmengine - INFO - Epoch(train) [32][380/3757] lr: 9.2858e-03 eta: 2 days, 13:08:29 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 5.3016 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4914 loss: 2.4914 2022/07/27 06:17:32 - mmengine - INFO - Epoch(train) [32][400/3757] lr: 9.2858e-03 eta: 2 days, 13:08:21 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 5.5082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6975 loss: 2.6975 2022/07/27 06:17:40 - mmengine - INFO - Epoch(train) [32][420/3757] lr: 9.2858e-03 eta: 2 days, 13:08:14 time: 0.4039 data_time: 0.0152 memory: 17007 grad_norm: 5.3841 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5671 loss: 2.5671 2022/07/27 06:17:47 - mmengine - INFO - Epoch(train) [32][440/3757] lr: 9.2858e-03 eta: 2 days, 13:08:06 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.4244 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7588 loss: 2.7588 2022/07/27 06:17:55 - mmengine - INFO - Epoch(train) [32][460/3757] lr: 9.2858e-03 eta: 2 days, 13:07:58 time: 0.3912 data_time: 0.0136 memory: 17007 grad_norm: 5.3889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5934 loss: 2.5934 2022/07/27 06:18:03 - mmengine - INFO - Epoch(train) [32][480/3757] lr: 9.2858e-03 eta: 2 days, 13:07:51 time: 0.3972 data_time: 0.0165 memory: 17007 grad_norm: 5.3533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8089 loss: 2.8089 2022/07/27 06:18:11 - mmengine - INFO - Epoch(train) [32][500/3757] lr: 9.2858e-03 eta: 2 days, 13:07:43 time: 0.3908 data_time: 0.0140 memory: 17007 grad_norm: 5.3405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5829 loss: 2.5829 2022/07/27 06:18:19 - mmengine - INFO - Epoch(train) [32][520/3757] lr: 9.2858e-03 eta: 2 days, 13:07:35 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 5.3768 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7564 loss: 2.7564 2022/07/27 06:18:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:18:27 - mmengine - INFO - Epoch(train) [32][540/3757] lr: 9.2858e-03 eta: 2 days, 13:07:27 time: 0.3974 data_time: 0.0168 memory: 17007 grad_norm: 5.4217 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9608 loss: 2.9608 2022/07/27 06:18:35 - mmengine - INFO - Epoch(train) [32][560/3757] lr: 9.2858e-03 eta: 2 days, 13:07:19 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.2254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6314 loss: 2.6314 2022/07/27 06:18:43 - mmengine - INFO - Epoch(train) [32][580/3757] lr: 9.2858e-03 eta: 2 days, 13:07:13 time: 0.4103 data_time: 0.0153 memory: 17007 grad_norm: 5.2063 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3866 loss: 2.3866 2022/07/27 06:18:51 - mmengine - INFO - Epoch(train) [32][600/3757] lr: 9.2858e-03 eta: 2 days, 13:07:05 time: 0.3945 data_time: 0.0173 memory: 17007 grad_norm: 5.2703 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8670 loss: 2.8670 2022/07/27 06:18:59 - mmengine - INFO - Epoch(train) [32][620/3757] lr: 9.2858e-03 eta: 2 days, 13:06:57 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.4174 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8867 loss: 2.8867 2022/07/27 06:19:07 - mmengine - INFO - Epoch(train) [32][640/3757] lr: 9.2858e-03 eta: 2 days, 13:06:50 time: 0.4008 data_time: 0.0162 memory: 17007 grad_norm: 5.2010 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5214 loss: 2.5214 2022/07/27 06:19:15 - mmengine - INFO - Epoch(train) [32][660/3757] lr: 9.2858e-03 eta: 2 days, 13:06:42 time: 0.3933 data_time: 0.0169 memory: 17007 grad_norm: 5.3625 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5369 loss: 2.5369 2022/07/27 06:19:23 - mmengine - INFO - Epoch(train) [32][680/3757] lr: 9.2858e-03 eta: 2 days, 13:06:34 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 5.2817 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4513 loss: 2.4513 2022/07/27 06:19:30 - mmengine - INFO - Epoch(train) [32][700/3757] lr: 9.2858e-03 eta: 2 days, 13:06:26 time: 0.3929 data_time: 0.0146 memory: 17007 grad_norm: 5.3042 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4278 loss: 2.4278 2022/07/27 06:19:38 - mmengine - INFO - Epoch(train) [32][720/3757] lr: 9.2858e-03 eta: 2 days, 13:06:18 time: 0.3908 data_time: 0.0144 memory: 17007 grad_norm: 5.2949 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8262 loss: 2.8262 2022/07/27 06:19:46 - mmengine - INFO - Epoch(train) [32][740/3757] lr: 9.2858e-03 eta: 2 days, 13:06:10 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 5.3811 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4799 loss: 2.4799 2022/07/27 06:19:54 - mmengine - INFO - Epoch(train) [32][760/3757] lr: 9.2858e-03 eta: 2 days, 13:06:03 time: 0.3974 data_time: 0.0176 memory: 17007 grad_norm: 5.4162 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7262 loss: 2.7262 2022/07/27 06:20:02 - mmengine - INFO - Epoch(train) [32][780/3757] lr: 9.2858e-03 eta: 2 days, 13:05:55 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 5.4101 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4730 loss: 2.4730 2022/07/27 06:20:10 - mmengine - INFO - Epoch(train) [32][800/3757] lr: 9.2858e-03 eta: 2 days, 13:05:47 time: 0.3959 data_time: 0.0175 memory: 17007 grad_norm: 5.4145 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0981 loss: 3.0981 2022/07/27 06:20:18 - mmengine - INFO - Epoch(train) [32][820/3757] lr: 9.2858e-03 eta: 2 days, 13:05:39 time: 0.3910 data_time: 0.0146 memory: 17007 grad_norm: 5.4878 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7368 loss: 2.7368 2022/07/27 06:20:26 - mmengine - INFO - Epoch(train) [32][840/3757] lr: 9.2858e-03 eta: 2 days, 13:05:32 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 5.5790 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0492 loss: 3.0492 2022/07/27 06:20:33 - mmengine - INFO - Epoch(train) [32][860/3757] lr: 9.2858e-03 eta: 2 days, 13:05:24 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 5.3609 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7678 loss: 2.7678 2022/07/27 06:20:42 - mmengine - INFO - Epoch(train) [32][880/3757] lr: 9.2858e-03 eta: 2 days, 13:05:17 time: 0.4052 data_time: 0.0160 memory: 17007 grad_norm: 5.3130 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9083 loss: 2.9083 2022/07/27 06:20:49 - mmengine - INFO - Epoch(train) [32][900/3757] lr: 9.2858e-03 eta: 2 days, 13:05:09 time: 0.3955 data_time: 0.0139 memory: 17007 grad_norm: 5.3969 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5706 loss: 2.5706 2022/07/27 06:20:57 - mmengine - INFO - Epoch(train) [32][920/3757] lr: 9.2858e-03 eta: 2 days, 13:05:01 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 5.1126 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5851 loss: 2.5851 2022/07/27 06:21:05 - mmengine - INFO - Epoch(train) [32][940/3757] lr: 9.2858e-03 eta: 2 days, 13:04:54 time: 0.3957 data_time: 0.0147 memory: 17007 grad_norm: 5.1998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5936 loss: 2.5936 2022/07/27 06:21:13 - mmengine - INFO - Epoch(train) [32][960/3757] lr: 9.2858e-03 eta: 2 days, 13:04:46 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 5.3412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3362 loss: 2.3362 2022/07/27 06:21:21 - mmengine - INFO - Epoch(train) [32][980/3757] lr: 9.2858e-03 eta: 2 days, 13:04:39 time: 0.3991 data_time: 0.0145 memory: 17007 grad_norm: 5.1673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5831 loss: 2.5831 2022/07/27 06:21:29 - mmengine - INFO - Epoch(train) [32][1000/3757] lr: 9.2858e-03 eta: 2 days, 13:04:31 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 5.3503 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4295 loss: 2.4295 2022/07/27 06:21:37 - mmengine - INFO - Epoch(train) [32][1020/3757] lr: 9.2858e-03 eta: 2 days, 13:04:24 time: 0.4008 data_time: 0.0178 memory: 17007 grad_norm: 5.3442 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0277 loss: 3.0277 2022/07/27 06:21:45 - mmengine - INFO - Epoch(train) [32][1040/3757] lr: 9.2858e-03 eta: 2 days, 13:04:16 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.1680 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7201 loss: 2.7201 2022/07/27 06:21:53 - mmengine - INFO - Epoch(train) [32][1060/3757] lr: 9.2858e-03 eta: 2 days, 13:04:08 time: 0.3914 data_time: 0.0160 memory: 17007 grad_norm: 5.3500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9467 loss: 2.9467 2022/07/27 06:22:01 - mmengine - INFO - Epoch(train) [32][1080/3757] lr: 9.2858e-03 eta: 2 days, 13:04:00 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 5.3577 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7007 loss: 2.7007 2022/07/27 06:22:08 - mmengine - INFO - Epoch(train) [32][1100/3757] lr: 9.2858e-03 eta: 2 days, 13:03:52 time: 0.3905 data_time: 0.0149 memory: 17007 grad_norm: 5.4847 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.8858 loss: 2.8858 2022/07/27 06:22:16 - mmengine - INFO - Epoch(train) [32][1120/3757] lr: 9.2858e-03 eta: 2 days, 13:03:44 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 5.2365 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6787 loss: 2.6787 2022/07/27 06:22:24 - mmengine - INFO - Epoch(train) [32][1140/3757] lr: 9.2858e-03 eta: 2 days, 13:03:36 time: 0.3929 data_time: 0.0146 memory: 17007 grad_norm: 5.2926 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4177 loss: 2.4177 2022/07/27 06:22:32 - mmengine - INFO - Epoch(train) [32][1160/3757] lr: 9.2858e-03 eta: 2 days, 13:03:28 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 5.4757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7275 loss: 2.7275 2022/07/27 06:22:40 - mmengine - INFO - Epoch(train) [32][1180/3757] lr: 9.2858e-03 eta: 2 days, 13:03:20 time: 0.3915 data_time: 0.0146 memory: 17007 grad_norm: 5.6183 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9247 loss: 2.9247 2022/07/27 06:22:48 - mmengine - INFO - Epoch(train) [32][1200/3757] lr: 9.2858e-03 eta: 2 days, 13:03:12 time: 0.3909 data_time: 0.0154 memory: 17007 grad_norm: 5.3474 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3687 loss: 2.3687 2022/07/27 06:22:55 - mmengine - INFO - Epoch(train) [32][1220/3757] lr: 9.2858e-03 eta: 2 days, 13:03:04 time: 0.3911 data_time: 0.0137 memory: 17007 grad_norm: 5.3212 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6961 loss: 2.6961 2022/07/27 06:23:03 - mmengine - INFO - Epoch(train) [32][1240/3757] lr: 9.2858e-03 eta: 2 days, 13:02:56 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 5.5057 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6070 loss: 2.6070 2022/07/27 06:23:11 - mmengine - INFO - Epoch(train) [32][1260/3757] lr: 9.2858e-03 eta: 2 days, 13:02:48 time: 0.3965 data_time: 0.0149 memory: 17007 grad_norm: 5.3648 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8457 loss: 2.8457 2022/07/27 06:23:19 - mmengine - INFO - Epoch(train) [32][1280/3757] lr: 9.2858e-03 eta: 2 days, 13:02:40 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 5.5091 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0144 loss: 3.0144 2022/07/27 06:23:27 - mmengine - INFO - Epoch(train) [32][1300/3757] lr: 9.2858e-03 eta: 2 days, 13:02:32 time: 0.3901 data_time: 0.0143 memory: 17007 grad_norm: 5.2982 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8322 loss: 2.8322 2022/07/27 06:23:35 - mmengine - INFO - Epoch(train) [32][1320/3757] lr: 9.2858e-03 eta: 2 days, 13:02:25 time: 0.4062 data_time: 0.0198 memory: 17007 grad_norm: 5.3845 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7696 loss: 2.7696 2022/07/27 06:23:43 - mmengine - INFO - Epoch(train) [32][1340/3757] lr: 9.2858e-03 eta: 2 days, 13:02:17 time: 0.3894 data_time: 0.0125 memory: 17007 grad_norm: 5.4624 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5684 loss: 2.5684 2022/07/27 06:23:51 - mmengine - INFO - Epoch(train) [32][1360/3757] lr: 9.2858e-03 eta: 2 days, 13:02:10 time: 0.3991 data_time: 0.0166 memory: 17007 grad_norm: 5.1589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5089 loss: 2.5089 2022/07/27 06:23:59 - mmengine - INFO - Epoch(train) [32][1380/3757] lr: 9.2858e-03 eta: 2 days, 13:02:02 time: 0.3921 data_time: 0.0136 memory: 17007 grad_norm: 5.2446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9042 loss: 2.9042 2022/07/27 06:24:06 - mmengine - INFO - Epoch(train) [32][1400/3757] lr: 9.2858e-03 eta: 2 days, 13:01:54 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 5.3433 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7078 loss: 2.7078 2022/07/27 06:24:15 - mmengine - INFO - Epoch(train) [32][1420/3757] lr: 9.2858e-03 eta: 2 days, 13:01:48 time: 0.4167 data_time: 0.0166 memory: 17007 grad_norm: 5.3799 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8811 loss: 2.8811 2022/07/27 06:24:23 - mmengine - INFO - Epoch(train) [32][1440/3757] lr: 9.2858e-03 eta: 2 days, 13:01:40 time: 0.3956 data_time: 0.0168 memory: 17007 grad_norm: 5.2917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5119 loss: 2.5119 2022/07/27 06:24:33 - mmengine - INFO - Epoch(train) [32][1460/3757] lr: 9.2858e-03 eta: 2 days, 13:01:42 time: 0.4948 data_time: 0.0145 memory: 17007 grad_norm: 5.4376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4586 loss: 2.4586 2022/07/27 06:24:40 - mmengine - INFO - Epoch(train) [32][1480/3757] lr: 9.2858e-03 eta: 2 days, 13:01:34 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.3728 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9837 loss: 2.9837 2022/07/27 06:24:48 - mmengine - INFO - Epoch(train) [32][1500/3757] lr: 9.2858e-03 eta: 2 days, 13:01:27 time: 0.3971 data_time: 0.0146 memory: 17007 grad_norm: 5.2897 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5971 loss: 2.5971 2022/07/27 06:24:57 - mmengine - INFO - Epoch(train) [32][1520/3757] lr: 9.2858e-03 eta: 2 days, 13:01:20 time: 0.4096 data_time: 0.0235 memory: 17007 grad_norm: 5.3040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7609 loss: 2.7609 2022/07/27 06:25:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:25:05 - mmengine - INFO - Epoch(train) [32][1540/3757] lr: 9.2858e-03 eta: 2 days, 13:01:16 time: 0.4271 data_time: 0.0162 memory: 17007 grad_norm: 5.3800 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5990 loss: 2.5990 2022/07/27 06:25:13 - mmengine - INFO - Epoch(train) [32][1560/3757] lr: 9.2858e-03 eta: 2 days, 13:01:08 time: 0.3998 data_time: 0.0153 memory: 17007 grad_norm: 5.4110 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7323 loss: 2.7323 2022/07/27 06:25:21 - mmengine - INFO - Epoch(train) [32][1580/3757] lr: 9.2858e-03 eta: 2 days, 13:01:01 time: 0.3985 data_time: 0.0148 memory: 17007 grad_norm: 5.3206 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6217 loss: 2.6217 2022/07/27 06:25:29 - mmengine - INFO - Epoch(train) [32][1600/3757] lr: 9.2858e-03 eta: 2 days, 13:00:53 time: 0.3913 data_time: 0.0151 memory: 17007 grad_norm: 5.2932 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0953 loss: 3.0953 2022/07/27 06:25:37 - mmengine - INFO - Epoch(train) [32][1620/3757] lr: 9.2858e-03 eta: 2 days, 13:00:46 time: 0.4007 data_time: 0.0159 memory: 17007 grad_norm: 5.1366 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5265 loss: 2.5265 2022/07/27 06:25:45 - mmengine - INFO - Epoch(train) [32][1640/3757] lr: 9.2858e-03 eta: 2 days, 13:00:41 time: 0.4234 data_time: 0.0173 memory: 17007 grad_norm: 5.3044 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9886 loss: 2.9886 2022/07/27 06:25:53 - mmengine - INFO - Epoch(train) [32][1660/3757] lr: 9.2858e-03 eta: 2 days, 13:00:33 time: 0.3951 data_time: 0.0135 memory: 17007 grad_norm: 5.3181 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7142 loss: 2.7142 2022/07/27 06:26:01 - mmengine - INFO - Epoch(train) [32][1680/3757] lr: 9.2858e-03 eta: 2 days, 13:00:25 time: 0.3960 data_time: 0.0152 memory: 17007 grad_norm: 5.4190 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7312 loss: 2.7312 2022/07/27 06:26:09 - mmengine - INFO - Epoch(train) [32][1700/3757] lr: 9.2858e-03 eta: 2 days, 13:00:17 time: 0.3892 data_time: 0.0147 memory: 17007 grad_norm: 5.5401 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7272 loss: 2.7272 2022/07/27 06:26:17 - mmengine - INFO - Epoch(train) [32][1720/3757] lr: 9.2858e-03 eta: 2 days, 13:00:09 time: 0.3959 data_time: 0.0167 memory: 17007 grad_norm: 5.5978 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8545 loss: 2.8545 2022/07/27 06:26:26 - mmengine - INFO - Epoch(train) [32][1740/3757] lr: 9.2858e-03 eta: 2 days, 13:00:07 time: 0.4477 data_time: 0.0148 memory: 17007 grad_norm: 5.3474 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8965 loss: 2.8965 2022/07/27 06:26:34 - mmengine - INFO - Epoch(train) [32][1760/3757] lr: 9.2858e-03 eta: 2 days, 12:59:59 time: 0.3983 data_time: 0.0180 memory: 17007 grad_norm: 5.3081 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8234 loss: 2.8234 2022/07/27 06:26:42 - mmengine - INFO - Epoch(train) [32][1780/3757] lr: 9.2858e-03 eta: 2 days, 12:59:51 time: 0.3919 data_time: 0.0145 memory: 17007 grad_norm: 5.1874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4167 loss: 2.4167 2022/07/27 06:26:50 - mmengine - INFO - Epoch(train) [32][1800/3757] lr: 9.2858e-03 eta: 2 days, 12:59:43 time: 0.3902 data_time: 0.0151 memory: 17007 grad_norm: 5.2921 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7553 loss: 2.7553 2022/07/27 06:26:57 - mmengine - INFO - Epoch(train) [32][1820/3757] lr: 9.2858e-03 eta: 2 days, 12:59:35 time: 0.3932 data_time: 0.0146 memory: 17007 grad_norm: 5.3234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7889 loss: 2.7889 2022/07/27 06:27:05 - mmengine - INFO - Epoch(train) [32][1840/3757] lr: 9.2858e-03 eta: 2 days, 12:59:28 time: 0.3982 data_time: 0.0154 memory: 17007 grad_norm: 5.6070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7317 loss: 2.7317 2022/07/27 06:27:13 - mmengine - INFO - Epoch(train) [32][1860/3757] lr: 9.2858e-03 eta: 2 days, 12:59:20 time: 0.3978 data_time: 0.0171 memory: 17007 grad_norm: 5.5854 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6456 loss: 2.6456 2022/07/27 06:27:21 - mmengine - INFO - Epoch(train) [32][1880/3757] lr: 9.2858e-03 eta: 2 days, 12:59:12 time: 0.3912 data_time: 0.0141 memory: 17007 grad_norm: 5.3150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5554 loss: 2.5554 2022/07/27 06:27:29 - mmengine - INFO - Epoch(train) [32][1900/3757] lr: 9.2858e-03 eta: 2 days, 12:59:04 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 5.4900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7004 loss: 2.7004 2022/07/27 06:27:37 - mmengine - INFO - Epoch(train) [32][1920/3757] lr: 9.2858e-03 eta: 2 days, 12:58:56 time: 0.3944 data_time: 0.0171 memory: 17007 grad_norm: 5.4884 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6284 loss: 2.6284 2022/07/27 06:27:45 - mmengine - INFO - Epoch(train) [32][1940/3757] lr: 9.2858e-03 eta: 2 days, 12:58:50 time: 0.4068 data_time: 0.0147 memory: 17007 grad_norm: 5.3670 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8805 loss: 2.8805 2022/07/27 06:27:53 - mmengine - INFO - Epoch(train) [32][1960/3757] lr: 9.2858e-03 eta: 2 days, 12:58:42 time: 0.3956 data_time: 0.0169 memory: 17007 grad_norm: 5.3508 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0930 loss: 3.0930 2022/07/27 06:28:01 - mmengine - INFO - Epoch(train) [32][1980/3757] lr: 9.2858e-03 eta: 2 days, 12:58:34 time: 0.3909 data_time: 0.0146 memory: 17007 grad_norm: 5.3392 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9704 loss: 2.9704 2022/07/27 06:28:09 - mmengine - INFO - Epoch(train) [32][2000/3757] lr: 9.2858e-03 eta: 2 days, 12:58:26 time: 0.3901 data_time: 0.0149 memory: 17007 grad_norm: 5.4808 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5940 loss: 2.5940 2022/07/27 06:28:17 - mmengine - INFO - Epoch(train) [32][2020/3757] lr: 9.2858e-03 eta: 2 days, 12:58:18 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 5.4038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8758 loss: 2.8758 2022/07/27 06:28:24 - mmengine - INFO - Epoch(train) [32][2040/3757] lr: 9.2858e-03 eta: 2 days, 12:58:10 time: 0.3939 data_time: 0.0161 memory: 17007 grad_norm: 5.2114 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7169 loss: 2.7169 2022/07/27 06:28:32 - mmengine - INFO - Epoch(train) [32][2060/3757] lr: 9.2858e-03 eta: 2 days, 12:58:02 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 5.4433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9596 loss: 2.9596 2022/07/27 06:28:40 - mmengine - INFO - Epoch(train) [32][2080/3757] lr: 9.2858e-03 eta: 2 days, 12:57:54 time: 0.3952 data_time: 0.0163 memory: 17007 grad_norm: 5.3834 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8823 loss: 2.8823 2022/07/27 06:28:48 - mmengine - INFO - Epoch(train) [32][2100/3757] lr: 9.2858e-03 eta: 2 days, 12:57:46 time: 0.3901 data_time: 0.0132 memory: 17007 grad_norm: 5.1388 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5067 loss: 2.5067 2022/07/27 06:28:56 - mmengine - INFO - Epoch(train) [32][2120/3757] lr: 9.2858e-03 eta: 2 days, 12:57:38 time: 0.3946 data_time: 0.0167 memory: 17007 grad_norm: 5.4103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4625 loss: 2.4625 2022/07/27 06:29:04 - mmengine - INFO - Epoch(train) [32][2140/3757] lr: 9.2858e-03 eta: 2 days, 12:57:31 time: 0.3952 data_time: 0.0150 memory: 17007 grad_norm: 5.4265 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7716 loss: 2.7716 2022/07/27 06:29:12 - mmengine - INFO - Epoch(train) [32][2160/3757] lr: 9.2858e-03 eta: 2 days, 12:57:23 time: 0.3948 data_time: 0.0168 memory: 17007 grad_norm: 5.5156 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6957 loss: 2.6957 2022/07/27 06:29:20 - mmengine - INFO - Epoch(train) [32][2180/3757] lr: 9.2858e-03 eta: 2 days, 12:57:15 time: 0.3916 data_time: 0.0159 memory: 17007 grad_norm: 5.4969 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5149 loss: 2.5149 2022/07/27 06:29:27 - mmengine - INFO - Epoch(train) [32][2200/3757] lr: 9.2858e-03 eta: 2 days, 12:57:07 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 5.3505 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8100 loss: 2.8100 2022/07/27 06:29:35 - mmengine - INFO - Epoch(train) [32][2220/3757] lr: 9.2858e-03 eta: 2 days, 12:57:00 time: 0.3992 data_time: 0.0136 memory: 17007 grad_norm: 5.5122 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7522 loss: 2.7522 2022/07/27 06:29:43 - mmengine - INFO - Epoch(train) [32][2240/3757] lr: 9.2858e-03 eta: 2 days, 12:56:53 time: 0.4040 data_time: 0.0176 memory: 17007 grad_norm: 5.1564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7403 loss: 2.7403 2022/07/27 06:29:51 - mmengine - INFO - Epoch(train) [32][2260/3757] lr: 9.2858e-03 eta: 2 days, 12:56:45 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.2920 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6721 loss: 2.6721 2022/07/27 06:29:59 - mmengine - INFO - Epoch(train) [32][2280/3757] lr: 9.2858e-03 eta: 2 days, 12:56:37 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 5.3564 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0197 loss: 3.0197 2022/07/27 06:30:07 - mmengine - INFO - Epoch(train) [32][2300/3757] lr: 9.2858e-03 eta: 2 days, 12:56:30 time: 0.4023 data_time: 0.0168 memory: 17007 grad_norm: 5.2913 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9119 loss: 2.9119 2022/07/27 06:30:15 - mmengine - INFO - Epoch(train) [32][2320/3757] lr: 9.2858e-03 eta: 2 days, 12:56:22 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 5.3624 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6447 loss: 2.6447 2022/07/27 06:30:23 - mmengine - INFO - Epoch(train) [32][2340/3757] lr: 9.2858e-03 eta: 2 days, 12:56:14 time: 0.3935 data_time: 0.0146 memory: 17007 grad_norm: 5.3310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8409 loss: 2.8409 2022/07/27 06:30:31 - mmengine - INFO - Epoch(train) [32][2360/3757] lr: 9.2858e-03 eta: 2 days, 12:56:06 time: 0.3930 data_time: 0.0167 memory: 17007 grad_norm: 5.3554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5756 loss: 2.5756 2022/07/27 06:30:39 - mmengine - INFO - Epoch(train) [32][2380/3757] lr: 9.2858e-03 eta: 2 days, 12:55:58 time: 0.3911 data_time: 0.0154 memory: 17007 grad_norm: 5.5339 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7266 loss: 2.7266 2022/07/27 06:30:46 - mmengine - INFO - Epoch(train) [32][2400/3757] lr: 9.2858e-03 eta: 2 days, 12:55:50 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 5.1172 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5768 loss: 2.5768 2022/07/27 06:30:54 - mmengine - INFO - Epoch(train) [32][2420/3757] lr: 9.2858e-03 eta: 2 days, 12:55:42 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 5.3236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4892 loss: 2.4892 2022/07/27 06:31:02 - mmengine - INFO - Epoch(train) [32][2440/3757] lr: 9.2858e-03 eta: 2 days, 12:55:34 time: 0.3943 data_time: 0.0174 memory: 17007 grad_norm: 5.3292 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5829 loss: 2.5829 2022/07/27 06:31:10 - mmengine - INFO - Epoch(train) [32][2460/3757] lr: 9.2858e-03 eta: 2 days, 12:55:26 time: 0.3917 data_time: 0.0149 memory: 17007 grad_norm: 5.3246 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9351 loss: 2.9351 2022/07/27 06:31:18 - mmengine - INFO - Epoch(train) [32][2480/3757] lr: 9.2858e-03 eta: 2 days, 12:55:18 time: 0.3919 data_time: 0.0158 memory: 17007 grad_norm: 5.3853 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5946 loss: 2.5946 2022/07/27 06:31:26 - mmengine - INFO - Epoch(train) [32][2500/3757] lr: 9.2858e-03 eta: 2 days, 12:55:10 time: 0.3948 data_time: 0.0165 memory: 17007 grad_norm: 5.1746 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8384 loss: 2.8384 2022/07/27 06:31:34 - mmengine - INFO - Epoch(train) [32][2520/3757] lr: 9.2858e-03 eta: 2 days, 12:55:02 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.4043 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6587 loss: 2.6587 2022/07/27 06:31:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:31:42 - mmengine - INFO - Epoch(train) [32][2540/3757] lr: 9.2858e-03 eta: 2 days, 12:54:55 time: 0.4007 data_time: 0.0160 memory: 17007 grad_norm: 5.3962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2291 loss: 2.2291 2022/07/27 06:31:49 - mmengine - INFO - Epoch(train) [32][2560/3757] lr: 9.2858e-03 eta: 2 days, 12:54:47 time: 0.3931 data_time: 0.0162 memory: 17007 grad_norm: 5.3904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7477 loss: 2.7477 2022/07/27 06:31:57 - mmengine - INFO - Epoch(train) [32][2580/3757] lr: 9.2858e-03 eta: 2 days, 12:54:39 time: 0.3896 data_time: 0.0145 memory: 17007 grad_norm: 5.6157 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7515 loss: 2.7515 2022/07/27 06:32:06 - mmengine - INFO - Epoch(train) [32][2600/3757] lr: 9.2858e-03 eta: 2 days, 12:54:33 time: 0.4150 data_time: 0.0170 memory: 17007 grad_norm: 5.2088 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7254 loss: 2.7254 2022/07/27 06:32:13 - mmengine - INFO - Epoch(train) [32][2620/3757] lr: 9.2858e-03 eta: 2 days, 12:54:25 time: 0.3913 data_time: 0.0136 memory: 17007 grad_norm: 5.4128 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3784 loss: 2.3784 2022/07/27 06:32:21 - mmengine - INFO - Epoch(train) [32][2640/3757] lr: 9.2858e-03 eta: 2 days, 12:54:17 time: 0.3947 data_time: 0.0178 memory: 17007 grad_norm: 5.3382 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6873 loss: 2.6873 2022/07/27 06:32:29 - mmengine - INFO - Epoch(train) [32][2660/3757] lr: 9.2858e-03 eta: 2 days, 12:54:09 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 5.3296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6643 loss: 2.6643 2022/07/27 06:32:37 - mmengine - INFO - Epoch(train) [32][2680/3757] lr: 9.2858e-03 eta: 2 days, 12:54:02 time: 0.3993 data_time: 0.0156 memory: 17007 grad_norm: 5.3798 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8216 loss: 2.8216 2022/07/27 06:32:45 - mmengine - INFO - Epoch(train) [32][2700/3757] lr: 9.2858e-03 eta: 2 days, 12:53:54 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 5.2338 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5533 loss: 2.5533 2022/07/27 06:32:53 - mmengine - INFO - Epoch(train) [32][2720/3757] lr: 9.2858e-03 eta: 2 days, 12:53:46 time: 0.3937 data_time: 0.0164 memory: 17007 grad_norm: 5.2931 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6729 loss: 2.6729 2022/07/27 06:33:01 - mmengine - INFO - Epoch(train) [32][2740/3757] lr: 9.2858e-03 eta: 2 days, 12:53:39 time: 0.3969 data_time: 0.0137 memory: 17007 grad_norm: 5.3813 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5177 loss: 2.5177 2022/07/27 06:33:09 - mmengine - INFO - Epoch(train) [32][2760/3757] lr: 9.2858e-03 eta: 2 days, 12:53:31 time: 0.3920 data_time: 0.0160 memory: 17007 grad_norm: 5.4345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4923 loss: 2.4923 2022/07/27 06:33:17 - mmengine - INFO - Epoch(train) [32][2780/3757] lr: 9.2858e-03 eta: 2 days, 12:53:23 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 5.4772 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7446 loss: 2.7446 2022/07/27 06:33:24 - mmengine - INFO - Epoch(train) [32][2800/3757] lr: 9.2858e-03 eta: 2 days, 12:53:15 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.2613 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7310 loss: 2.7310 2022/07/27 06:33:32 - mmengine - INFO - Epoch(train) [32][2820/3757] lr: 9.2858e-03 eta: 2 days, 12:53:07 time: 0.3919 data_time: 0.0137 memory: 17007 grad_norm: 5.2787 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7111 loss: 2.7111 2022/07/27 06:33:40 - mmengine - INFO - Epoch(train) [32][2840/3757] lr: 9.2858e-03 eta: 2 days, 12:52:59 time: 0.3907 data_time: 0.0157 memory: 17007 grad_norm: 5.2817 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9634 loss: 2.9634 2022/07/27 06:33:48 - mmengine - INFO - Epoch(train) [32][2860/3757] lr: 9.2858e-03 eta: 2 days, 12:52:51 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 5.3469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8324 loss: 2.8324 2022/07/27 06:33:56 - mmengine - INFO - Epoch(train) [32][2880/3757] lr: 9.2858e-03 eta: 2 days, 12:52:43 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 5.4441 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6425 loss: 2.6425 2022/07/27 06:34:04 - mmengine - INFO - Epoch(train) [32][2900/3757] lr: 9.2858e-03 eta: 2 days, 12:52:35 time: 0.3975 data_time: 0.0208 memory: 17007 grad_norm: 5.2907 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8716 loss: 2.8716 2022/07/27 06:34:12 - mmengine - INFO - Epoch(train) [32][2920/3757] lr: 9.2858e-03 eta: 2 days, 12:52:27 time: 0.3903 data_time: 0.0125 memory: 17007 grad_norm: 5.4132 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7066 loss: 2.7066 2022/07/27 06:34:19 - mmengine - INFO - Epoch(train) [32][2940/3757] lr: 9.2858e-03 eta: 2 days, 12:52:19 time: 0.3904 data_time: 0.0145 memory: 17007 grad_norm: 5.3953 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1182 loss: 3.1182 2022/07/27 06:34:27 - mmengine - INFO - Epoch(train) [32][2960/3757] lr: 9.2858e-03 eta: 2 days, 12:52:11 time: 0.3942 data_time: 0.0172 memory: 17007 grad_norm: 5.4538 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4333 loss: 2.4333 2022/07/27 06:34:35 - mmengine - INFO - Epoch(train) [32][2980/3757] lr: 9.2858e-03 eta: 2 days, 12:52:03 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.4299 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7983 loss: 2.7983 2022/07/27 06:34:43 - mmengine - INFO - Epoch(train) [32][3000/3757] lr: 9.2858e-03 eta: 2 days, 12:51:55 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.1760 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4620 loss: 2.4620 2022/07/27 06:34:51 - mmengine - INFO - Epoch(train) [32][3020/3757] lr: 9.2858e-03 eta: 2 days, 12:51:47 time: 0.3931 data_time: 0.0157 memory: 17007 grad_norm: 5.3611 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4736 loss: 2.4736 2022/07/27 06:34:59 - mmengine - INFO - Epoch(train) [32][3040/3757] lr: 9.2858e-03 eta: 2 days, 12:51:39 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 5.6849 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6312 loss: 2.6312 2022/07/27 06:35:07 - mmengine - INFO - Epoch(train) [32][3060/3757] lr: 9.2858e-03 eta: 2 days, 12:51:31 time: 0.3921 data_time: 0.0171 memory: 17007 grad_norm: 5.5420 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0753 loss: 3.0753 2022/07/27 06:35:14 - mmengine - INFO - Epoch(train) [32][3080/3757] lr: 9.2858e-03 eta: 2 days, 12:51:23 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 5.4562 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6344 loss: 2.6344 2022/07/27 06:35:22 - mmengine - INFO - Epoch(train) [32][3100/3757] lr: 9.2858e-03 eta: 2 days, 12:51:15 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 5.5042 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9858 loss: 2.9858 2022/07/27 06:35:30 - mmengine - INFO - Epoch(train) [32][3120/3757] lr: 9.2858e-03 eta: 2 days, 12:51:08 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 5.3775 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7872 loss: 2.7872 2022/07/27 06:35:38 - mmengine - INFO - Epoch(train) [32][3140/3757] lr: 9.2858e-03 eta: 2 days, 12:51:00 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 5.3301 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6730 loss: 2.6730 2022/07/27 06:35:46 - mmengine - INFO - Epoch(train) [32][3160/3757] lr: 9.2858e-03 eta: 2 days, 12:50:52 time: 0.3953 data_time: 0.0169 memory: 17007 grad_norm: 5.4946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5791 loss: 2.5791 2022/07/27 06:35:54 - mmengine - INFO - Epoch(train) [32][3180/3757] lr: 9.2858e-03 eta: 2 days, 12:50:44 time: 0.3910 data_time: 0.0153 memory: 17007 grad_norm: 5.2385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6203 loss: 2.6203 2022/07/27 06:36:02 - mmengine - INFO - Epoch(train) [32][3200/3757] lr: 9.2858e-03 eta: 2 days, 12:50:36 time: 0.3944 data_time: 0.0165 memory: 17007 grad_norm: 5.3546 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5809 loss: 2.5809 2022/07/27 06:36:09 - mmengine - INFO - Epoch(train) [32][3220/3757] lr: 9.2858e-03 eta: 2 days, 12:50:28 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 5.5751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.8628 loss: 2.8628 2022/07/27 06:36:17 - mmengine - INFO - Epoch(train) [32][3240/3757] lr: 9.2858e-03 eta: 2 days, 12:50:20 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 5.3468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5727 loss: 2.5727 2022/07/27 06:36:25 - mmengine - INFO - Epoch(train) [32][3260/3757] lr: 9.2858e-03 eta: 2 days, 12:50:12 time: 0.3965 data_time: 0.0169 memory: 17007 grad_norm: 5.4474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9670 loss: 2.9670 2022/07/27 06:36:33 - mmengine - INFO - Epoch(train) [32][3280/3757] lr: 9.2858e-03 eta: 2 days, 12:50:04 time: 0.3917 data_time: 0.0163 memory: 17007 grad_norm: 5.2755 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6857 loss: 2.6857 2022/07/27 06:36:41 - mmengine - INFO - Epoch(train) [32][3300/3757] lr: 9.2858e-03 eta: 2 days, 12:49:57 time: 0.4033 data_time: 0.0149 memory: 17007 grad_norm: 5.3692 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7291 loss: 2.7291 2022/07/27 06:36:49 - mmengine - INFO - Epoch(train) [32][3320/3757] lr: 9.2858e-03 eta: 2 days, 12:49:49 time: 0.3922 data_time: 0.0150 memory: 17007 grad_norm: 5.1808 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4999 loss: 2.4999 2022/07/27 06:36:57 - mmengine - INFO - Epoch(train) [32][3340/3757] lr: 9.2858e-03 eta: 2 days, 12:49:41 time: 0.3922 data_time: 0.0141 memory: 17007 grad_norm: 5.4660 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9046 loss: 2.9046 2022/07/27 06:37:05 - mmengine - INFO - Epoch(train) [32][3360/3757] lr: 9.2858e-03 eta: 2 days, 12:49:34 time: 0.3957 data_time: 0.0172 memory: 17007 grad_norm: 5.2926 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4414 loss: 2.4414 2022/07/27 06:37:13 - mmengine - INFO - Epoch(train) [32][3380/3757] lr: 9.2858e-03 eta: 2 days, 12:49:26 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 5.3052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8077 loss: 2.8077 2022/07/27 06:37:20 - mmengine - INFO - Epoch(train) [32][3400/3757] lr: 9.2858e-03 eta: 2 days, 12:49:18 time: 0.3907 data_time: 0.0151 memory: 17007 grad_norm: 5.4653 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6011 loss: 2.6011 2022/07/27 06:37:29 - mmengine - INFO - Epoch(train) [32][3420/3757] lr: 9.2858e-03 eta: 2 days, 12:49:11 time: 0.4114 data_time: 0.0152 memory: 17007 grad_norm: 5.3452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5926 loss: 2.5926 2022/07/27 06:37:37 - mmengine - INFO - Epoch(train) [32][3440/3757] lr: 9.2858e-03 eta: 2 days, 12:49:04 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 5.2127 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7682 loss: 2.7682 2022/07/27 06:37:44 - mmengine - INFO - Epoch(train) [32][3460/3757] lr: 9.2858e-03 eta: 2 days, 12:48:56 time: 0.3955 data_time: 0.0166 memory: 17007 grad_norm: 5.4930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6964 loss: 2.6964 2022/07/27 06:37:52 - mmengine - INFO - Epoch(train) [32][3480/3757] lr: 9.2858e-03 eta: 2 days, 12:48:48 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 5.5227 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.9247 loss: 2.9247 2022/07/27 06:38:00 - mmengine - INFO - Epoch(train) [32][3500/3757] lr: 9.2858e-03 eta: 2 days, 12:48:40 time: 0.3899 data_time: 0.0140 memory: 17007 grad_norm: 5.3899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4223 loss: 2.4223 2022/07/27 06:38:08 - mmengine - INFO - Epoch(train) [32][3520/3757] lr: 9.2858e-03 eta: 2 days, 12:48:32 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 5.4546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9264 loss: 2.9264 2022/07/27 06:38:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:38:16 - mmengine - INFO - Epoch(train) [32][3540/3757] lr: 9.2858e-03 eta: 2 days, 12:48:24 time: 0.3910 data_time: 0.0141 memory: 17007 grad_norm: 5.4455 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5519 loss: 2.5519 2022/07/27 06:38:24 - mmengine - INFO - Epoch(train) [32][3560/3757] lr: 9.2858e-03 eta: 2 days, 12:48:16 time: 0.3945 data_time: 0.0171 memory: 17007 grad_norm: 5.2886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6188 loss: 2.6188 2022/07/27 06:38:32 - mmengine - INFO - Epoch(train) [32][3580/3757] lr: 9.2858e-03 eta: 2 days, 12:48:08 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 5.2062 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8526 loss: 2.8526 2022/07/27 06:38:39 - mmengine - INFO - Epoch(train) [32][3600/3757] lr: 9.2858e-03 eta: 2 days, 12:48:00 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 5.4417 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4705 loss: 2.4705 2022/07/27 06:38:47 - mmengine - INFO - Epoch(train) [32][3620/3757] lr: 9.2858e-03 eta: 2 days, 12:47:52 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 5.4516 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7709 loss: 2.7709 2022/07/27 06:38:55 - mmengine - INFO - Epoch(train) [32][3640/3757] lr: 9.2858e-03 eta: 2 days, 12:47:44 time: 0.3926 data_time: 0.0166 memory: 17007 grad_norm: 5.3886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6342 loss: 2.6342 2022/07/27 06:39:03 - mmengine - INFO - Epoch(train) [32][3660/3757] lr: 9.2858e-03 eta: 2 days, 12:47:36 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 5.3835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6834 loss: 2.6834 2022/07/27 06:39:11 - mmengine - INFO - Epoch(train) [32][3680/3757] lr: 9.2858e-03 eta: 2 days, 12:47:28 time: 0.3912 data_time: 0.0155 memory: 17007 grad_norm: 5.2202 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8617 loss: 2.8617 2022/07/27 06:39:19 - mmengine - INFO - Epoch(train) [32][3700/3757] lr: 9.2858e-03 eta: 2 days, 12:47:20 time: 0.3913 data_time: 0.0146 memory: 17007 grad_norm: 5.4563 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8046 loss: 2.8046 2022/07/27 06:39:27 - mmengine - INFO - Epoch(train) [32][3720/3757] lr: 9.2858e-03 eta: 2 days, 12:47:13 time: 0.3956 data_time: 0.0170 memory: 17007 grad_norm: 5.4739 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5397 loss: 2.5397 2022/07/27 06:39:34 - mmengine - INFO - Epoch(train) [32][3740/3757] lr: 9.2858e-03 eta: 2 days, 12:47:04 time: 0.3911 data_time: 0.0155 memory: 17007 grad_norm: 5.3837 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5567 loss: 2.5567 2022/07/27 06:39:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:39:41 - mmengine - INFO - Epoch(train) [32][3757/3757] lr: 9.2858e-03 eta: 2 days, 12:47:04 time: 0.3967 data_time: 0.0155 memory: 17007 grad_norm: 5.3564 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.6368 loss: 2.6368 2022/07/27 06:39:41 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/07/27 06:39:53 - mmengine - INFO - Epoch(train) [33][20/3757] lr: 9.2402e-03 eta: 2 days, 12:46:24 time: 0.4450 data_time: 0.0538 memory: 17007 grad_norm: 5.8286 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5871 loss: 2.5871 2022/07/27 06:40:01 - mmengine - INFO - Epoch(train) [33][40/3757] lr: 9.2402e-03 eta: 2 days, 12:46:16 time: 0.3902 data_time: 0.0151 memory: 17007 grad_norm: 5.6091 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6350 loss: 2.6350 2022/07/27 06:40:09 - mmengine - INFO - Epoch(train) [33][60/3757] lr: 9.2402e-03 eta: 2 days, 12:46:08 time: 0.3974 data_time: 0.0138 memory: 17007 grad_norm: 5.3449 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7297 loss: 2.7297 2022/07/27 06:40:16 - mmengine - INFO - Epoch(train) [33][80/3757] lr: 9.2402e-03 eta: 2 days, 12:46:00 time: 0.3926 data_time: 0.0166 memory: 17007 grad_norm: 5.4001 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6856 loss: 2.6856 2022/07/27 06:40:24 - mmengine - INFO - Epoch(train) [33][100/3757] lr: 9.2402e-03 eta: 2 days, 12:45:52 time: 0.3935 data_time: 0.0144 memory: 17007 grad_norm: 5.3938 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5890 loss: 2.5890 2022/07/27 06:40:32 - mmengine - INFO - Epoch(train) [33][120/3757] lr: 9.2402e-03 eta: 2 days, 12:45:44 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 5.3281 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7896 loss: 2.7896 2022/07/27 06:40:40 - mmengine - INFO - Epoch(train) [33][140/3757] lr: 9.2402e-03 eta: 2 days, 12:45:36 time: 0.3910 data_time: 0.0158 memory: 17007 grad_norm: 5.4591 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5360 loss: 2.5360 2022/07/27 06:40:48 - mmengine - INFO - Epoch(train) [33][160/3757] lr: 9.2402e-03 eta: 2 days, 12:45:29 time: 0.3954 data_time: 0.0173 memory: 17007 grad_norm: 5.5196 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9070 loss: 2.9070 2022/07/27 06:40:56 - mmengine - INFO - Epoch(train) [33][180/3757] lr: 9.2402e-03 eta: 2 days, 12:45:20 time: 0.3916 data_time: 0.0138 memory: 17007 grad_norm: 5.4451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7528 loss: 2.7528 2022/07/27 06:41:04 - mmengine - INFO - Epoch(train) [33][200/3757] lr: 9.2402e-03 eta: 2 days, 12:45:12 time: 0.3914 data_time: 0.0159 memory: 17007 grad_norm: 5.2508 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9713 loss: 2.9713 2022/07/27 06:41:11 - mmengine - INFO - Epoch(train) [33][220/3757] lr: 9.2402e-03 eta: 2 days, 12:45:05 time: 0.3968 data_time: 0.0137 memory: 17007 grad_norm: 5.3211 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4238 loss: 2.4238 2022/07/27 06:41:19 - mmengine - INFO - Epoch(train) [33][240/3757] lr: 9.2402e-03 eta: 2 days, 12:44:57 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.4369 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7629 loss: 2.7629 2022/07/27 06:41:27 - mmengine - INFO - Epoch(train) [33][260/3757] lr: 9.2402e-03 eta: 2 days, 12:44:49 time: 0.3959 data_time: 0.0155 memory: 17007 grad_norm: 5.2237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7429 loss: 2.7429 2022/07/27 06:41:35 - mmengine - INFO - Epoch(train) [33][280/3757] lr: 9.2402e-03 eta: 2 days, 12:44:42 time: 0.4028 data_time: 0.0148 memory: 17007 grad_norm: 5.3428 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4411 loss: 2.4411 2022/07/27 06:41:43 - mmengine - INFO - Epoch(train) [33][300/3757] lr: 9.2402e-03 eta: 2 days, 12:44:35 time: 0.3959 data_time: 0.0159 memory: 17007 grad_norm: 5.3429 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7933 loss: 2.7933 2022/07/27 06:41:51 - mmengine - INFO - Epoch(train) [33][320/3757] lr: 9.2402e-03 eta: 2 days, 12:44:27 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 5.2551 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5378 loss: 2.5378 2022/07/27 06:41:59 - mmengine - INFO - Epoch(train) [33][340/3757] lr: 9.2402e-03 eta: 2 days, 12:44:19 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.2565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4522 loss: 2.4522 2022/07/27 06:42:07 - mmengine - INFO - Epoch(train) [33][360/3757] lr: 9.2402e-03 eta: 2 days, 12:44:11 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 5.2283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5014 loss: 2.5014 2022/07/27 06:42:15 - mmengine - INFO - Epoch(train) [33][380/3757] lr: 9.2402e-03 eta: 2 days, 12:44:03 time: 0.3903 data_time: 0.0141 memory: 17007 grad_norm: 5.2644 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5136 loss: 2.5136 2022/07/27 06:42:22 - mmengine - INFO - Epoch(train) [33][400/3757] lr: 9.2402e-03 eta: 2 days, 12:43:55 time: 0.3940 data_time: 0.0163 memory: 17007 grad_norm: 5.4165 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7940 loss: 2.7940 2022/07/27 06:42:30 - mmengine - INFO - Epoch(train) [33][420/3757] lr: 9.2402e-03 eta: 2 days, 12:43:47 time: 0.3911 data_time: 0.0140 memory: 17007 grad_norm: 5.4812 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7492 loss: 2.7492 2022/07/27 06:42:38 - mmengine - INFO - Epoch(train) [33][440/3757] lr: 9.2402e-03 eta: 2 days, 12:43:39 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 5.4824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4771 loss: 2.4771 2022/07/27 06:42:46 - mmengine - INFO - Epoch(train) [33][460/3757] lr: 9.2402e-03 eta: 2 days, 12:43:31 time: 0.3998 data_time: 0.0138 memory: 17007 grad_norm: 5.4899 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7690 loss: 2.7690 2022/07/27 06:42:54 - mmengine - INFO - Epoch(train) [33][480/3757] lr: 9.2402e-03 eta: 2 days, 12:43:24 time: 0.3928 data_time: 0.0167 memory: 17007 grad_norm: 5.5364 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9074 loss: 2.9074 2022/07/27 06:43:02 - mmengine - INFO - Epoch(train) [33][500/3757] lr: 9.2402e-03 eta: 2 days, 12:43:16 time: 0.3986 data_time: 0.0165 memory: 17007 grad_norm: 5.4675 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4664 loss: 2.4664 2022/07/27 06:43:10 - mmengine - INFO - Epoch(train) [33][520/3757] lr: 9.2402e-03 eta: 2 days, 12:43:08 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 5.4171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6124 loss: 2.6124 2022/07/27 06:43:18 - mmengine - INFO - Epoch(train) [33][540/3757] lr: 9.2402e-03 eta: 2 days, 12:43:00 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.5224 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0094 loss: 3.0094 2022/07/27 06:43:26 - mmengine - INFO - Epoch(train) [33][560/3757] lr: 9.2402e-03 eta: 2 days, 12:42:53 time: 0.3971 data_time: 0.0171 memory: 17007 grad_norm: 5.4450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6636 loss: 2.6636 2022/07/27 06:43:33 - mmengine - INFO - Epoch(train) [33][580/3757] lr: 9.2402e-03 eta: 2 days, 12:42:45 time: 0.3913 data_time: 0.0136 memory: 17007 grad_norm: 5.3314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5895 loss: 2.5895 2022/07/27 06:43:41 - mmengine - INFO - Epoch(train) [33][600/3757] lr: 9.2402e-03 eta: 2 days, 12:42:37 time: 0.3969 data_time: 0.0164 memory: 17007 grad_norm: 5.1849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3599 loss: 2.3599 2022/07/27 06:43:49 - mmengine - INFO - Epoch(train) [33][620/3757] lr: 9.2402e-03 eta: 2 days, 12:42:29 time: 0.3967 data_time: 0.0151 memory: 17007 grad_norm: 5.5121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7066 loss: 2.7066 2022/07/27 06:43:57 - mmengine - INFO - Epoch(train) [33][640/3757] lr: 9.2402e-03 eta: 2 days, 12:42:22 time: 0.3955 data_time: 0.0169 memory: 17007 grad_norm: 5.4439 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5034 loss: 2.5034 2022/07/27 06:44:05 - mmengine - INFO - Epoch(train) [33][660/3757] lr: 9.2402e-03 eta: 2 days, 12:42:14 time: 0.3962 data_time: 0.0157 memory: 17007 grad_norm: 5.3771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.0292 loss: 3.0292 2022/07/27 06:44:13 - mmengine - INFO - Epoch(train) [33][680/3757] lr: 9.2402e-03 eta: 2 days, 12:42:06 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 5.3222 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9929 loss: 2.9929 2022/07/27 06:44:21 - mmengine - INFO - Epoch(train) [33][700/3757] lr: 9.2402e-03 eta: 2 days, 12:41:58 time: 0.3915 data_time: 0.0146 memory: 17007 grad_norm: 5.2757 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5249 loss: 2.5249 2022/07/27 06:44:29 - mmengine - INFO - Epoch(train) [33][720/3757] lr: 9.2402e-03 eta: 2 days, 12:41:50 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 5.4663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6776 loss: 2.6776 2022/07/27 06:44:37 - mmengine - INFO - Epoch(train) [33][740/3757] lr: 9.2402e-03 eta: 2 days, 12:41:42 time: 0.3922 data_time: 0.0136 memory: 17007 grad_norm: 5.4213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5943 loss: 2.5943 2022/07/27 06:44:45 - mmengine - INFO - Epoch(train) [33][760/3757] lr: 9.2402e-03 eta: 2 days, 12:41:34 time: 0.3933 data_time: 0.0167 memory: 17007 grad_norm: 5.4548 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8036 loss: 2.8036 2022/07/27 06:44:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:44:52 - mmengine - INFO - Epoch(train) [33][780/3757] lr: 9.2402e-03 eta: 2 days, 12:41:26 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 5.2144 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6283 loss: 2.6283 2022/07/27 06:45:00 - mmengine - INFO - Epoch(train) [33][800/3757] lr: 9.2402e-03 eta: 2 days, 12:41:19 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.3559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4934 loss: 2.4934 2022/07/27 06:45:08 - mmengine - INFO - Epoch(train) [33][820/3757] lr: 9.2402e-03 eta: 2 days, 12:41:10 time: 0.3913 data_time: 0.0155 memory: 17007 grad_norm: 5.3067 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7169 loss: 2.7169 2022/07/27 06:45:16 - mmengine - INFO - Epoch(train) [33][840/3757] lr: 9.2402e-03 eta: 2 days, 12:41:03 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 5.2483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5619 loss: 2.5619 2022/07/27 06:45:24 - mmengine - INFO - Epoch(train) [33][860/3757] lr: 9.2402e-03 eta: 2 days, 12:40:55 time: 0.3950 data_time: 0.0151 memory: 17007 grad_norm: 5.4083 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7284 loss: 2.7284 2022/07/27 06:45:32 - mmengine - INFO - Epoch(train) [33][880/3757] lr: 9.2402e-03 eta: 2 days, 12:40:47 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 5.2694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6834 loss: 2.6834 2022/07/27 06:45:40 - mmengine - INFO - Epoch(train) [33][900/3757] lr: 9.2402e-03 eta: 2 days, 12:40:39 time: 0.3931 data_time: 0.0134 memory: 17007 grad_norm: 5.3063 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8252 loss: 2.8252 2022/07/27 06:45:47 - mmengine - INFO - Epoch(train) [33][920/3757] lr: 9.2402e-03 eta: 2 days, 12:40:31 time: 0.3967 data_time: 0.0185 memory: 17007 grad_norm: 5.5005 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6311 loss: 2.6311 2022/07/27 06:45:55 - mmengine - INFO - Epoch(train) [33][940/3757] lr: 9.2402e-03 eta: 2 days, 12:40:23 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 5.4996 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8278 loss: 2.8278 2022/07/27 06:46:03 - mmengine - INFO - Epoch(train) [33][960/3757] lr: 9.2402e-03 eta: 2 days, 12:40:16 time: 0.3978 data_time: 0.0168 memory: 17007 grad_norm: 5.3683 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7588 loss: 2.7588 2022/07/27 06:46:11 - mmengine - INFO - Epoch(train) [33][980/3757] lr: 9.2402e-03 eta: 2 days, 12:40:08 time: 0.3909 data_time: 0.0133 memory: 17007 grad_norm: 5.4009 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4363 loss: 2.4363 2022/07/27 06:46:19 - mmengine - INFO - Epoch(train) [33][1000/3757] lr: 9.2402e-03 eta: 2 days, 12:40:00 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 5.3654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4262 loss: 2.4262 2022/07/27 06:46:27 - mmengine - INFO - Epoch(train) [33][1020/3757] lr: 9.2402e-03 eta: 2 days, 12:39:52 time: 0.3958 data_time: 0.0157 memory: 17007 grad_norm: 5.4899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4951 loss: 2.4951 2022/07/27 06:46:35 - mmengine - INFO - Epoch(train) [33][1040/3757] lr: 9.2402e-03 eta: 2 days, 12:39:45 time: 0.3942 data_time: 0.0164 memory: 17007 grad_norm: 5.5967 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7483 loss: 2.7483 2022/07/27 06:46:43 - mmengine - INFO - Epoch(train) [33][1060/3757] lr: 9.2402e-03 eta: 2 days, 12:39:37 time: 0.3991 data_time: 0.0157 memory: 17007 grad_norm: 5.3879 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7232 loss: 2.7232 2022/07/27 06:46:51 - mmengine - INFO - Epoch(train) [33][1080/3757] lr: 9.2402e-03 eta: 2 days, 12:39:29 time: 0.3923 data_time: 0.0162 memory: 17007 grad_norm: 5.3649 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0693 loss: 3.0693 2022/07/27 06:46:58 - mmengine - INFO - Epoch(train) [33][1100/3757] lr: 9.2402e-03 eta: 2 days, 12:39:21 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 5.4320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4976 loss: 2.4976 2022/07/27 06:47:06 - mmengine - INFO - Epoch(train) [33][1120/3757] lr: 9.2402e-03 eta: 2 days, 12:39:13 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 5.6688 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6322 loss: 2.6322 2022/07/27 06:47:14 - mmengine - INFO - Epoch(train) [33][1140/3757] lr: 9.2402e-03 eta: 2 days, 12:39:06 time: 0.3941 data_time: 0.0173 memory: 17007 grad_norm: 5.4193 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6971 loss: 2.6971 2022/07/27 06:47:22 - mmengine - INFO - Epoch(train) [33][1160/3757] lr: 9.2402e-03 eta: 2 days, 12:38:58 time: 0.3965 data_time: 0.0168 memory: 17007 grad_norm: 5.5024 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5342 loss: 2.5342 2022/07/27 06:47:30 - mmengine - INFO - Epoch(train) [33][1180/3757] lr: 9.2402e-03 eta: 2 days, 12:38:50 time: 0.3896 data_time: 0.0142 memory: 17007 grad_norm: 5.3594 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5880 loss: 2.5880 2022/07/27 06:47:38 - mmengine - INFO - Epoch(train) [33][1200/3757] lr: 9.2402e-03 eta: 2 days, 12:38:43 time: 0.4051 data_time: 0.0164 memory: 17007 grad_norm: 5.4518 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8193 loss: 2.8193 2022/07/27 06:47:46 - mmengine - INFO - Epoch(train) [33][1220/3757] lr: 9.2402e-03 eta: 2 days, 12:38:35 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 5.2999 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7642 loss: 2.7642 2022/07/27 06:47:54 - mmengine - INFO - Epoch(train) [33][1240/3757] lr: 9.2402e-03 eta: 2 days, 12:38:29 time: 0.4137 data_time: 0.0169 memory: 17007 grad_norm: 5.3287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4840 loss: 2.4840 2022/07/27 06:48:02 - mmengine - INFO - Epoch(train) [33][1260/3757] lr: 9.2402e-03 eta: 2 days, 12:38:21 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 5.2442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6585 loss: 2.6585 2022/07/27 06:48:10 - mmengine - INFO - Epoch(train) [33][1280/3757] lr: 9.2402e-03 eta: 2 days, 12:38:13 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 5.2893 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4045 loss: 2.4045 2022/07/27 06:48:18 - mmengine - INFO - Epoch(train) [33][1300/3757] lr: 9.2402e-03 eta: 2 days, 12:38:05 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 5.5599 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4171 loss: 2.4171 2022/07/27 06:48:26 - mmengine - INFO - Epoch(train) [33][1320/3757] lr: 9.2402e-03 eta: 2 days, 12:37:57 time: 0.3938 data_time: 0.0162 memory: 17007 grad_norm: 5.2900 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3701 loss: 2.3701 2022/07/27 06:48:34 - mmengine - INFO - Epoch(train) [33][1340/3757] lr: 9.2402e-03 eta: 2 days, 12:37:50 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 5.2999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2486 loss: 2.2486 2022/07/27 06:48:41 - mmengine - INFO - Epoch(train) [33][1360/3757] lr: 9.2402e-03 eta: 2 days, 12:37:42 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 5.5131 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7499 loss: 2.7499 2022/07/27 06:48:49 - mmengine - INFO - Epoch(train) [33][1380/3757] lr: 9.2402e-03 eta: 2 days, 12:37:35 time: 0.4042 data_time: 0.0145 memory: 17007 grad_norm: 5.3827 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6528 loss: 2.6528 2022/07/27 06:48:57 - mmengine - INFO - Epoch(train) [33][1400/3757] lr: 9.2402e-03 eta: 2 days, 12:37:27 time: 0.3946 data_time: 0.0174 memory: 17007 grad_norm: 5.4923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6648 loss: 2.6648 2022/07/27 06:49:06 - mmengine - INFO - Epoch(train) [33][1420/3757] lr: 9.2402e-03 eta: 2 days, 12:37:21 time: 0.4148 data_time: 0.0144 memory: 17007 grad_norm: 5.4279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5808 loss: 2.5808 2022/07/27 06:49:14 - mmengine - INFO - Epoch(train) [33][1440/3757] lr: 9.2402e-03 eta: 2 days, 12:37:13 time: 0.3938 data_time: 0.0171 memory: 17007 grad_norm: 5.3559 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6570 loss: 2.6570 2022/07/27 06:49:21 - mmengine - INFO - Epoch(train) [33][1460/3757] lr: 9.2402e-03 eta: 2 days, 12:37:05 time: 0.3908 data_time: 0.0141 memory: 17007 grad_norm: 5.4482 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8661 loss: 2.8661 2022/07/27 06:49:29 - mmengine - INFO - Epoch(train) [33][1480/3757] lr: 9.2402e-03 eta: 2 days, 12:36:57 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 5.4193 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5806 loss: 2.5806 2022/07/27 06:49:37 - mmengine - INFO - Epoch(train) [33][1500/3757] lr: 9.2402e-03 eta: 2 days, 12:36:49 time: 0.3929 data_time: 0.0142 memory: 17007 grad_norm: 5.3248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7045 loss: 2.7045 2022/07/27 06:49:45 - mmengine - INFO - Epoch(train) [33][1520/3757] lr: 9.2402e-03 eta: 2 days, 12:36:41 time: 0.3941 data_time: 0.0172 memory: 17007 grad_norm: 5.2477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7245 loss: 2.7245 2022/07/27 06:49:53 - mmengine - INFO - Epoch(train) [33][1540/3757] lr: 9.2402e-03 eta: 2 days, 12:36:33 time: 0.3912 data_time: 0.0141 memory: 17007 grad_norm: 5.3598 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6019 loss: 2.6019 2022/07/27 06:50:01 - mmengine - INFO - Epoch(train) [33][1560/3757] lr: 9.2402e-03 eta: 2 days, 12:36:25 time: 0.3903 data_time: 0.0153 memory: 17007 grad_norm: 5.5345 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5004 loss: 2.5004 2022/07/27 06:50:08 - mmengine - INFO - Epoch(train) [33][1580/3757] lr: 9.2402e-03 eta: 2 days, 12:36:17 time: 0.3921 data_time: 0.0162 memory: 17007 grad_norm: 5.3987 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6466 loss: 2.6466 2022/07/27 06:50:16 - mmengine - INFO - Epoch(train) [33][1600/3757] lr: 9.2402e-03 eta: 2 days, 12:36:09 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 5.2355 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6335 loss: 2.6335 2022/07/27 06:50:24 - mmengine - INFO - Epoch(train) [33][1620/3757] lr: 9.2402e-03 eta: 2 days, 12:36:02 time: 0.3979 data_time: 0.0154 memory: 17007 grad_norm: 5.3275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8109 loss: 2.8109 2022/07/27 06:50:32 - mmengine - INFO - Epoch(train) [33][1640/3757] lr: 9.2402e-03 eta: 2 days, 12:35:54 time: 0.3918 data_time: 0.0152 memory: 17007 grad_norm: 5.4449 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5242 loss: 2.5242 2022/07/27 06:50:40 - mmengine - INFO - Epoch(train) [33][1660/3757] lr: 9.2402e-03 eta: 2 days, 12:35:46 time: 0.3916 data_time: 0.0146 memory: 17007 grad_norm: 5.3759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7312 loss: 2.7312 2022/07/27 06:50:48 - mmengine - INFO - Epoch(train) [33][1680/3757] lr: 9.2402e-03 eta: 2 days, 12:35:38 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 5.3188 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3338 loss: 2.3338 2022/07/27 06:50:56 - mmengine - INFO - Epoch(train) [33][1700/3757] lr: 9.2402e-03 eta: 2 days, 12:35:30 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 5.2933 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4581 loss: 2.4581 2022/07/27 06:51:04 - mmengine - INFO - Epoch(train) [33][1720/3757] lr: 9.2402e-03 eta: 2 days, 12:35:22 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 5.3014 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8187 loss: 2.8187 2022/07/27 06:51:11 - mmengine - INFO - Epoch(train) [33][1740/3757] lr: 9.2402e-03 eta: 2 days, 12:35:14 time: 0.3912 data_time: 0.0147 memory: 17007 grad_norm: 5.4452 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7808 loss: 2.7808 2022/07/27 06:51:19 - mmengine - INFO - Epoch(train) [33][1760/3757] lr: 9.2402e-03 eta: 2 days, 12:35:06 time: 0.3946 data_time: 0.0174 memory: 17007 grad_norm: 5.4972 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8823 loss: 2.8823 2022/07/27 06:51:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:51:27 - mmengine - INFO - Epoch(train) [33][1780/3757] lr: 9.2402e-03 eta: 2 days, 12:34:58 time: 0.3918 data_time: 0.0155 memory: 17007 grad_norm: 5.5347 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7097 loss: 2.7097 2022/07/27 06:51:35 - mmengine - INFO - Epoch(train) [33][1800/3757] lr: 9.2402e-03 eta: 2 days, 12:34:50 time: 0.3934 data_time: 0.0180 memory: 17007 grad_norm: 5.3068 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8196 loss: 2.8196 2022/07/27 06:51:43 - mmengine - INFO - Epoch(train) [33][1820/3757] lr: 9.2402e-03 eta: 2 days, 12:34:43 time: 0.3960 data_time: 0.0163 memory: 17007 grad_norm: 5.3333 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5806 loss: 2.5806 2022/07/27 06:51:51 - mmengine - INFO - Epoch(train) [33][1840/3757] lr: 9.2402e-03 eta: 2 days, 12:34:35 time: 0.3912 data_time: 0.0161 memory: 17007 grad_norm: 5.3317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7055 loss: 2.7055 2022/07/27 06:51:59 - mmengine - INFO - Epoch(train) [33][1860/3757] lr: 9.2402e-03 eta: 2 days, 12:34:27 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 5.3158 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5857 loss: 2.5857 2022/07/27 06:52:07 - mmengine - INFO - Epoch(train) [33][1880/3757] lr: 9.2402e-03 eta: 2 days, 12:34:19 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 5.2490 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5810 loss: 2.5810 2022/07/27 06:52:14 - mmengine - INFO - Epoch(train) [33][1900/3757] lr: 9.2402e-03 eta: 2 days, 12:34:11 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 5.4761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6026 loss: 2.6026 2022/07/27 06:52:22 - mmengine - INFO - Epoch(train) [33][1920/3757] lr: 9.2402e-03 eta: 2 days, 12:34:03 time: 0.3913 data_time: 0.0151 memory: 17007 grad_norm: 5.2700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4766 loss: 2.4766 2022/07/27 06:52:30 - mmengine - INFO - Epoch(train) [33][1940/3757] lr: 9.2402e-03 eta: 2 days, 12:33:56 time: 0.3973 data_time: 0.0148 memory: 17007 grad_norm: 5.3270 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9045 loss: 2.9045 2022/07/27 06:52:38 - mmengine - INFO - Epoch(train) [33][1960/3757] lr: 9.2402e-03 eta: 2 days, 12:33:48 time: 0.3946 data_time: 0.0167 memory: 17007 grad_norm: 5.4386 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5285 loss: 2.5285 2022/07/27 06:52:46 - mmengine - INFO - Epoch(train) [33][1980/3757] lr: 9.2402e-03 eta: 2 days, 12:33:40 time: 0.3978 data_time: 0.0141 memory: 17007 grad_norm: 5.3855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7064 loss: 2.7064 2022/07/27 06:52:54 - mmengine - INFO - Epoch(train) [33][2000/3757] lr: 9.2402e-03 eta: 2 days, 12:33:33 time: 0.3954 data_time: 0.0172 memory: 17007 grad_norm: 5.4196 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5561 loss: 2.5561 2022/07/27 06:53:02 - mmengine - INFO - Epoch(train) [33][2020/3757] lr: 9.2402e-03 eta: 2 days, 12:33:25 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 5.5523 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7661 loss: 2.7661 2022/07/27 06:53:10 - mmengine - INFO - Epoch(train) [33][2040/3757] lr: 9.2402e-03 eta: 2 days, 12:33:17 time: 0.3967 data_time: 0.0165 memory: 17007 grad_norm: 5.6244 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8234 loss: 2.8234 2022/07/27 06:53:18 - mmengine - INFO - Epoch(train) [33][2060/3757] lr: 9.2402e-03 eta: 2 days, 12:33:09 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 5.4239 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9230 loss: 2.9230 2022/07/27 06:53:26 - mmengine - INFO - Epoch(train) [33][2080/3757] lr: 9.2402e-03 eta: 2 days, 12:33:02 time: 0.3957 data_time: 0.0147 memory: 17007 grad_norm: 5.2953 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6249 loss: 2.6249 2022/07/27 06:53:33 - mmengine - INFO - Epoch(train) [33][2100/3757] lr: 9.2402e-03 eta: 2 days, 12:32:54 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 8.6596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6917 loss: 2.6917 2022/07/27 06:53:41 - mmengine - INFO - Epoch(train) [33][2120/3757] lr: 9.2402e-03 eta: 2 days, 12:32:46 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.8486 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4398 loss: 2.4398 2022/07/27 06:53:49 - mmengine - INFO - Epoch(train) [33][2140/3757] lr: 9.2402e-03 eta: 2 days, 12:32:38 time: 0.3916 data_time: 0.0137 memory: 17007 grad_norm: 5.7217 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5990 loss: 2.5990 2022/07/27 06:53:57 - mmengine - INFO - Epoch(train) [33][2160/3757] lr: 9.2402e-03 eta: 2 days, 12:32:30 time: 0.3948 data_time: 0.0174 memory: 17007 grad_norm: 5.5978 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8206 loss: 2.8206 2022/07/27 06:54:05 - mmengine - INFO - Epoch(train) [33][2180/3757] lr: 9.2402e-03 eta: 2 days, 12:32:22 time: 0.3908 data_time: 0.0136 memory: 17007 grad_norm: 5.4711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5443 loss: 2.5443 2022/07/27 06:54:13 - mmengine - INFO - Epoch(train) [33][2200/3757] lr: 9.2402e-03 eta: 2 days, 12:32:14 time: 0.3959 data_time: 0.0186 memory: 17007 grad_norm: 5.4486 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6503 loss: 2.6503 2022/07/27 06:54:21 - mmengine - INFO - Epoch(train) [33][2220/3757] lr: 9.2402e-03 eta: 2 days, 12:32:06 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 5.3903 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6352 loss: 2.6352 2022/07/27 06:54:29 - mmengine - INFO - Epoch(train) [33][2240/3757] lr: 9.2402e-03 eta: 2 days, 12:31:59 time: 0.3976 data_time: 0.0169 memory: 17007 grad_norm: 5.3612 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6554 loss: 2.6554 2022/07/27 06:54:36 - mmengine - INFO - Epoch(train) [33][2260/3757] lr: 9.2402e-03 eta: 2 days, 12:31:51 time: 0.3926 data_time: 0.0133 memory: 17007 grad_norm: 5.5593 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6653 loss: 2.6653 2022/07/27 06:54:44 - mmengine - INFO - Epoch(train) [33][2280/3757] lr: 9.2402e-03 eta: 2 days, 12:31:43 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 5.4402 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7388 loss: 2.7388 2022/07/27 06:54:52 - mmengine - INFO - Epoch(train) [33][2300/3757] lr: 9.2402e-03 eta: 2 days, 12:31:35 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 5.4562 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6831 loss: 2.6831 2022/07/27 06:55:00 - mmengine - INFO - Epoch(train) [33][2320/3757] lr: 9.2402e-03 eta: 2 days, 12:31:27 time: 0.3925 data_time: 0.0166 memory: 17007 grad_norm: 5.5223 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8143 loss: 2.8143 2022/07/27 06:55:08 - mmengine - INFO - Epoch(train) [33][2340/3757] lr: 9.2402e-03 eta: 2 days, 12:31:19 time: 0.3975 data_time: 0.0156 memory: 17007 grad_norm: 5.4615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9274 loss: 2.9274 2022/07/27 06:55:16 - mmengine - INFO - Epoch(train) [33][2360/3757] lr: 9.2402e-03 eta: 2 days, 12:31:11 time: 0.3945 data_time: 0.0168 memory: 17007 grad_norm: 5.2896 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7873 loss: 2.7873 2022/07/27 06:55:24 - mmengine - INFO - Epoch(train) [33][2380/3757] lr: 9.2402e-03 eta: 2 days, 12:31:04 time: 0.3972 data_time: 0.0151 memory: 17007 grad_norm: 5.3405 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5655 loss: 2.5655 2022/07/27 06:55:32 - mmengine - INFO - Epoch(train) [33][2400/3757] lr: 9.2402e-03 eta: 2 days, 12:30:56 time: 0.3919 data_time: 0.0160 memory: 17007 grad_norm: 5.5271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3505 loss: 2.3505 2022/07/27 06:55:39 - mmengine - INFO - Epoch(train) [33][2420/3757] lr: 9.2402e-03 eta: 2 days, 12:30:48 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 5.4178 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9065 loss: 2.9065 2022/07/27 06:55:47 - mmengine - INFO - Epoch(train) [33][2440/3757] lr: 9.2402e-03 eta: 2 days, 12:30:40 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 5.4349 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2837 loss: 2.2837 2022/07/27 06:55:55 - mmengine - INFO - Epoch(train) [33][2460/3757] lr: 9.2402e-03 eta: 2 days, 12:30:32 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.3930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4680 loss: 2.4680 2022/07/27 06:56:03 - mmengine - INFO - Epoch(train) [33][2480/3757] lr: 9.2402e-03 eta: 2 days, 12:30:24 time: 0.3941 data_time: 0.0159 memory: 17007 grad_norm: 5.5013 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9095 loss: 2.9095 2022/07/27 06:56:11 - mmengine - INFO - Epoch(train) [33][2500/3757] lr: 9.2402e-03 eta: 2 days, 12:30:16 time: 0.3905 data_time: 0.0150 memory: 17007 grad_norm: 5.3097 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7516 loss: 2.7516 2022/07/27 06:56:19 - mmengine - INFO - Epoch(train) [33][2520/3757] lr: 9.2402e-03 eta: 2 days, 12:30:08 time: 0.3939 data_time: 0.0176 memory: 17007 grad_norm: 5.3657 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8507 loss: 2.8507 2022/07/27 06:56:27 - mmengine - INFO - Epoch(train) [33][2540/3757] lr: 9.2402e-03 eta: 2 days, 12:30:00 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.5499 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7884 loss: 2.7884 2022/07/27 06:56:35 - mmengine - INFO - Epoch(train) [33][2560/3757] lr: 9.2402e-03 eta: 2 days, 12:29:53 time: 0.3935 data_time: 0.0167 memory: 17007 grad_norm: 5.5567 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7040 loss: 2.7040 2022/07/27 06:56:42 - mmengine - INFO - Epoch(train) [33][2580/3757] lr: 9.2402e-03 eta: 2 days, 12:29:44 time: 0.3909 data_time: 0.0145 memory: 17007 grad_norm: 5.3542 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8369 loss: 2.8369 2022/07/27 06:56:50 - mmengine - INFO - Epoch(train) [33][2600/3757] lr: 9.2402e-03 eta: 2 days, 12:29:37 time: 0.3940 data_time: 0.0168 memory: 17007 grad_norm: 5.3193 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4928 loss: 2.4928 2022/07/27 06:56:58 - mmengine - INFO - Epoch(train) [33][2620/3757] lr: 9.2402e-03 eta: 2 days, 12:29:29 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 5.3207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6377 loss: 2.6377 2022/07/27 06:57:06 - mmengine - INFO - Epoch(train) [33][2640/3757] lr: 9.2402e-03 eta: 2 days, 12:29:21 time: 0.3948 data_time: 0.0170 memory: 17007 grad_norm: 5.3898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3762 loss: 2.3762 2022/07/27 06:57:14 - mmengine - INFO - Epoch(train) [33][2660/3757] lr: 9.2402e-03 eta: 2 days, 12:29:13 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 5.4867 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5295 loss: 2.5295 2022/07/27 06:57:22 - mmengine - INFO - Epoch(train) [33][2680/3757] lr: 9.2402e-03 eta: 2 days, 12:29:05 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 5.3116 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7660 loss: 2.7660 2022/07/27 06:57:30 - mmengine - INFO - Epoch(train) [33][2700/3757] lr: 9.2402e-03 eta: 2 days, 12:28:58 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 5.2620 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6875 loss: 2.6875 2022/07/27 06:57:38 - mmengine - INFO - Epoch(train) [33][2720/3757] lr: 9.2402e-03 eta: 2 days, 12:28:50 time: 0.3934 data_time: 0.0165 memory: 17007 grad_norm: 5.2264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9566 loss: 2.9566 2022/07/27 06:57:45 - mmengine - INFO - Epoch(train) [33][2740/3757] lr: 9.2402e-03 eta: 2 days, 12:28:42 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 5.2374 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5837 loss: 2.5837 2022/07/27 06:57:53 - mmengine - INFO - Epoch(train) [33][2760/3757] lr: 9.2402e-03 eta: 2 days, 12:28:34 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 5.2971 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9680 loss: 2.9680 2022/07/27 06:58:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 06:58:01 - mmengine - INFO - Epoch(train) [33][2780/3757] lr: 9.2402e-03 eta: 2 days, 12:28:26 time: 0.3913 data_time: 0.0144 memory: 17007 grad_norm: 5.3543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5886 loss: 2.5886 2022/07/27 06:58:09 - mmengine - INFO - Epoch(train) [33][2800/3757] lr: 9.2402e-03 eta: 2 days, 12:28:18 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 5.4701 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7052 loss: 2.7052 2022/07/27 06:58:17 - mmengine - INFO - Epoch(train) [33][2820/3757] lr: 9.2402e-03 eta: 2 days, 12:28:10 time: 0.3944 data_time: 0.0142 memory: 17007 grad_norm: 5.3942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8296 loss: 2.8296 2022/07/27 06:58:25 - mmengine - INFO - Epoch(train) [33][2840/3757] lr: 9.2402e-03 eta: 2 days, 12:28:02 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 5.4082 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9138 loss: 2.9138 2022/07/27 06:58:33 - mmengine - INFO - Epoch(train) [33][2860/3757] lr: 9.2402e-03 eta: 2 days, 12:27:54 time: 0.3913 data_time: 0.0134 memory: 17007 grad_norm: 5.4660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7897 loss: 2.7897 2022/07/27 06:58:41 - mmengine - INFO - Epoch(train) [33][2880/3757] lr: 9.2402e-03 eta: 2 days, 12:27:47 time: 0.3966 data_time: 0.0159 memory: 17007 grad_norm: 5.5535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8694 loss: 2.8694 2022/07/27 06:58:48 - mmengine - INFO - Epoch(train) [33][2900/3757] lr: 9.2402e-03 eta: 2 days, 12:27:39 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 5.3074 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6108 loss: 2.6108 2022/07/27 06:58:56 - mmengine - INFO - Epoch(train) [33][2920/3757] lr: 9.2402e-03 eta: 2 days, 12:27:31 time: 0.3943 data_time: 0.0170 memory: 17007 grad_norm: 5.4239 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5835 loss: 2.5835 2022/07/27 06:59:04 - mmengine - INFO - Epoch(train) [33][2940/3757] lr: 9.2402e-03 eta: 2 days, 12:27:23 time: 0.3938 data_time: 0.0166 memory: 17007 grad_norm: 5.3781 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9139 loss: 2.9139 2022/07/27 06:59:12 - mmengine - INFO - Epoch(train) [33][2960/3757] lr: 9.2402e-03 eta: 2 days, 12:27:15 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.1861 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6459 loss: 2.6459 2022/07/27 06:59:20 - mmengine - INFO - Epoch(train) [33][2980/3757] lr: 9.2402e-03 eta: 2 days, 12:27:07 time: 0.3933 data_time: 0.0144 memory: 17007 grad_norm: 5.3116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6696 loss: 2.6696 2022/07/27 06:59:28 - mmengine - INFO - Epoch(train) [33][3000/3757] lr: 9.2402e-03 eta: 2 days, 12:27:00 time: 0.3975 data_time: 0.0176 memory: 17007 grad_norm: 5.5737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7174 loss: 2.7174 2022/07/27 06:59:36 - mmengine - INFO - Epoch(train) [33][3020/3757] lr: 9.2402e-03 eta: 2 days, 12:26:52 time: 0.3929 data_time: 0.0149 memory: 17007 grad_norm: 5.4592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4823 loss: 2.4823 2022/07/27 06:59:44 - mmengine - INFO - Epoch(train) [33][3040/3757] lr: 9.2402e-03 eta: 2 days, 12:26:44 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.4183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3919 loss: 2.3919 2022/07/27 06:59:51 - mmengine - INFO - Epoch(train) [33][3060/3757] lr: 9.2402e-03 eta: 2 days, 12:26:36 time: 0.3917 data_time: 0.0143 memory: 17007 grad_norm: 5.3530 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5324 loss: 2.5324 2022/07/27 06:59:59 - mmengine - INFO - Epoch(train) [33][3080/3757] lr: 9.2402e-03 eta: 2 days, 12:26:28 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 5.4471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7187 loss: 2.7187 2022/07/27 07:00:07 - mmengine - INFO - Epoch(train) [33][3100/3757] lr: 9.2402e-03 eta: 2 days, 12:26:20 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 5.1932 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4243 loss: 2.4243 2022/07/27 07:00:15 - mmengine - INFO - Epoch(train) [33][3120/3757] lr: 9.2402e-03 eta: 2 days, 12:26:13 time: 0.4017 data_time: 0.0160 memory: 17007 grad_norm: 5.3803 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3547 loss: 2.3547 2022/07/27 07:00:23 - mmengine - INFO - Epoch(train) [33][3140/3757] lr: 9.2402e-03 eta: 2 days, 12:26:06 time: 0.3998 data_time: 0.0144 memory: 17007 grad_norm: 5.5112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5523 loss: 2.5523 2022/07/27 07:00:31 - mmengine - INFO - Epoch(train) [33][3160/3757] lr: 9.2402e-03 eta: 2 days, 12:25:58 time: 0.3926 data_time: 0.0173 memory: 17007 grad_norm: 5.3201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5587 loss: 2.5587 2022/07/27 07:00:39 - mmengine - INFO - Epoch(train) [33][3180/3757] lr: 9.2402e-03 eta: 2 days, 12:25:50 time: 0.3969 data_time: 0.0151 memory: 17007 grad_norm: 5.4833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6906 loss: 2.6906 2022/07/27 07:00:47 - mmengine - INFO - Epoch(train) [33][3200/3757] lr: 9.2402e-03 eta: 2 days, 12:25:42 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 5.3960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7051 loss: 2.7051 2022/07/27 07:00:55 - mmengine - INFO - Epoch(train) [33][3220/3757] lr: 9.2402e-03 eta: 2 days, 12:25:35 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 5.2193 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5596 loss: 2.5596 2022/07/27 07:01:03 - mmengine - INFO - Epoch(train) [33][3240/3757] lr: 9.2402e-03 eta: 2 days, 12:25:27 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 5.4674 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5990 loss: 2.5990 2022/07/27 07:01:10 - mmengine - INFO - Epoch(train) [33][3260/3757] lr: 9.2402e-03 eta: 2 days, 12:25:19 time: 0.3920 data_time: 0.0138 memory: 17007 grad_norm: 5.4756 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7392 loss: 2.7392 2022/07/27 07:01:18 - mmengine - INFO - Epoch(train) [33][3280/3757] lr: 9.2402e-03 eta: 2 days, 12:25:11 time: 0.3959 data_time: 0.0181 memory: 17007 grad_norm: 5.5791 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6399 loss: 2.6399 2022/07/27 07:01:26 - mmengine - INFO - Epoch(train) [33][3300/3757] lr: 9.2402e-03 eta: 2 days, 12:25:03 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 5.5083 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7741 loss: 2.7741 2022/07/27 07:01:34 - mmengine - INFO - Epoch(train) [33][3320/3757] lr: 9.2402e-03 eta: 2 days, 12:24:57 time: 0.4080 data_time: 0.0174 memory: 17007 grad_norm: 5.4916 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6780 loss: 2.6780 2022/07/27 07:01:42 - mmengine - INFO - Epoch(train) [33][3340/3757] lr: 9.2402e-03 eta: 2 days, 12:24:49 time: 0.3920 data_time: 0.0143 memory: 17007 grad_norm: 5.3463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9783 loss: 2.9783 2022/07/27 07:01:50 - mmengine - INFO - Epoch(train) [33][3360/3757] lr: 9.2402e-03 eta: 2 days, 12:24:41 time: 0.3946 data_time: 0.0177 memory: 17007 grad_norm: 5.3452 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7224 loss: 2.7224 2022/07/27 07:01:58 - mmengine - INFO - Epoch(train) [33][3380/3757] lr: 9.2402e-03 eta: 2 days, 12:24:33 time: 0.3962 data_time: 0.0157 memory: 17007 grad_norm: 5.5291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8751 loss: 2.8751 2022/07/27 07:02:06 - mmengine - INFO - Epoch(train) [33][3400/3757] lr: 9.2402e-03 eta: 2 days, 12:24:25 time: 0.3945 data_time: 0.0166 memory: 17007 grad_norm: 5.3522 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5171 loss: 2.5171 2022/07/27 07:02:14 - mmengine - INFO - Epoch(train) [33][3420/3757] lr: 9.2402e-03 eta: 2 days, 12:24:17 time: 0.3919 data_time: 0.0156 memory: 17007 grad_norm: 5.1141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8438 loss: 2.8438 2022/07/27 07:02:22 - mmengine - INFO - Epoch(train) [33][3440/3757] lr: 9.2402e-03 eta: 2 days, 12:24:10 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 5.4180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5664 loss: 2.5664 2022/07/27 07:02:30 - mmengine - INFO - Epoch(train) [33][3460/3757] lr: 9.2402e-03 eta: 2 days, 12:24:02 time: 0.3920 data_time: 0.0130 memory: 17007 grad_norm: 5.3880 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6718 loss: 2.6718 2022/07/27 07:02:37 - mmengine - INFO - Epoch(train) [33][3480/3757] lr: 9.2402e-03 eta: 2 days, 12:23:54 time: 0.3935 data_time: 0.0169 memory: 17007 grad_norm: 5.5008 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7064 loss: 2.7064 2022/07/27 07:02:45 - mmengine - INFO - Epoch(train) [33][3500/3757] lr: 9.2402e-03 eta: 2 days, 12:23:46 time: 0.3918 data_time: 0.0143 memory: 17007 grad_norm: 5.4385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5262 loss: 2.5262 2022/07/27 07:02:53 - mmengine - INFO - Epoch(train) [33][3520/3757] lr: 9.2402e-03 eta: 2 days, 12:23:38 time: 0.3918 data_time: 0.0160 memory: 17007 grad_norm: 5.4348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2900 loss: 2.2900 2022/07/27 07:03:01 - mmengine - INFO - Epoch(train) [33][3540/3757] lr: 9.2402e-03 eta: 2 days, 12:23:30 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 5.4804 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6710 loss: 2.6710 2022/07/27 07:03:09 - mmengine - INFO - Epoch(train) [33][3560/3757] lr: 9.2402e-03 eta: 2 days, 12:23:22 time: 0.4015 data_time: 0.0155 memory: 17007 grad_norm: 5.5098 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5990 loss: 2.5990 2022/07/27 07:03:17 - mmengine - INFO - Epoch(train) [33][3580/3757] lr: 9.2402e-03 eta: 2 days, 12:23:14 time: 0.3933 data_time: 0.0133 memory: 17007 grad_norm: 5.2741 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3759 loss: 2.3759 2022/07/27 07:03:25 - mmengine - INFO - Epoch(train) [33][3600/3757] lr: 9.2402e-03 eta: 2 days, 12:23:07 time: 0.3963 data_time: 0.0165 memory: 17007 grad_norm: 5.3966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6466 loss: 2.6466 2022/07/27 07:03:33 - mmengine - INFO - Epoch(train) [33][3620/3757] lr: 9.2402e-03 eta: 2 days, 12:22:59 time: 0.3916 data_time: 0.0140 memory: 17007 grad_norm: 5.4075 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6375 loss: 2.6375 2022/07/27 07:03:40 - mmengine - INFO - Epoch(train) [33][3640/3757] lr: 9.2402e-03 eta: 2 days, 12:22:51 time: 0.3946 data_time: 0.0164 memory: 17007 grad_norm: 5.3516 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8246 loss: 2.8246 2022/07/27 07:03:48 - mmengine - INFO - Epoch(train) [33][3660/3757] lr: 9.2402e-03 eta: 2 days, 12:22:43 time: 0.3920 data_time: 0.0144 memory: 17007 grad_norm: 5.5252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7349 loss: 2.7349 2022/07/27 07:03:56 - mmengine - INFO - Epoch(train) [33][3680/3757] lr: 9.2402e-03 eta: 2 days, 12:22:35 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 5.5093 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8726 loss: 2.8726 2022/07/27 07:04:04 - mmengine - INFO - Epoch(train) [33][3700/3757] lr: 9.2402e-03 eta: 2 days, 12:22:27 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 5.6010 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8036 loss: 2.8036 2022/07/27 07:04:12 - mmengine - INFO - Epoch(train) [33][3720/3757] lr: 9.2402e-03 eta: 2 days, 12:22:19 time: 0.3912 data_time: 0.0152 memory: 17007 grad_norm: 5.3542 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6941 loss: 2.6941 2022/07/27 07:04:20 - mmengine - INFO - Epoch(train) [33][3740/3757] lr: 9.2402e-03 eta: 2 days, 12:22:11 time: 0.3931 data_time: 0.0141 memory: 17007 grad_norm: 5.4077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3326 loss: 2.3326 2022/07/27 07:04:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:04:26 - mmengine - INFO - Epoch(train) [33][3757/3757] lr: 9.2402e-03 eta: 2 days, 12:22:11 time: 0.3920 data_time: 0.0172 memory: 17007 grad_norm: 5.5630 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.4342 loss: 2.4342 2022/07/27 07:04:26 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/07/27 07:04:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:04:38 - mmengine - INFO - Epoch(train) [34][20/3757] lr: 9.1934e-03 eta: 2 days, 12:21:32 time: 0.4532 data_time: 0.0750 memory: 17007 grad_norm: 5.3925 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.6307 loss: 2.6307 2022/07/27 07:04:46 - mmengine - INFO - Epoch(train) [34][40/3757] lr: 9.1934e-03 eta: 2 days, 12:21:25 time: 0.3941 data_time: 0.0172 memory: 17007 grad_norm: 5.4276 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7455 loss: 2.7455 2022/07/27 07:04:53 - mmengine - INFO - Epoch(train) [34][60/3757] lr: 9.1934e-03 eta: 2 days, 12:21:17 time: 0.3921 data_time: 0.0161 memory: 17007 grad_norm: 5.2791 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7991 loss: 2.7991 2022/07/27 07:05:01 - mmengine - INFO - Epoch(train) [34][80/3757] lr: 9.1934e-03 eta: 2 days, 12:21:09 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.2719 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4360 loss: 2.4360 2022/07/27 07:05:09 - mmengine - INFO - Epoch(train) [34][100/3757] lr: 9.1934e-03 eta: 2 days, 12:21:01 time: 0.3993 data_time: 0.0142 memory: 17007 grad_norm: 5.3510 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8294 loss: 2.8294 2022/07/27 07:05:17 - mmengine - INFO - Epoch(train) [34][120/3757] lr: 9.1934e-03 eta: 2 days, 12:20:53 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.4820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6399 loss: 2.6399 2022/07/27 07:05:25 - mmengine - INFO - Epoch(train) [34][140/3757] lr: 9.1934e-03 eta: 2 days, 12:20:45 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 5.4061 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6044 loss: 2.6044 2022/07/27 07:05:33 - mmengine - INFO - Epoch(train) [34][160/3757] lr: 9.1934e-03 eta: 2 days, 12:20:38 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 5.2915 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5280 loss: 2.5280 2022/07/27 07:05:41 - mmengine - INFO - Epoch(train) [34][180/3757] lr: 9.1934e-03 eta: 2 days, 12:20:29 time: 0.3908 data_time: 0.0125 memory: 17007 grad_norm: 5.3317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7395 loss: 2.7395 2022/07/27 07:05:49 - mmengine - INFO - Epoch(train) [34][200/3757] lr: 9.1934e-03 eta: 2 days, 12:20:22 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 5.2858 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4336 loss: 2.4336 2022/07/27 07:05:56 - mmengine - INFO - Epoch(train) [34][220/3757] lr: 9.1934e-03 eta: 2 days, 12:20:14 time: 0.3912 data_time: 0.0149 memory: 17007 grad_norm: 5.3930 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5205 loss: 2.5205 2022/07/27 07:06:04 - mmengine - INFO - Epoch(train) [34][240/3757] lr: 9.1934e-03 eta: 2 days, 12:20:06 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 5.2217 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7553 loss: 2.7553 2022/07/27 07:06:12 - mmengine - INFO - Epoch(train) [34][260/3757] lr: 9.1934e-03 eta: 2 days, 12:19:58 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 5.3927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8200 loss: 2.8200 2022/07/27 07:06:20 - mmengine - INFO - Epoch(train) [34][280/3757] lr: 9.1934e-03 eta: 2 days, 12:19:50 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 5.2790 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5000 loss: 2.5000 2022/07/27 07:06:28 - mmengine - INFO - Epoch(train) [34][300/3757] lr: 9.1934e-03 eta: 2 days, 12:19:42 time: 0.3926 data_time: 0.0144 memory: 17007 grad_norm: 5.3294 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4197 loss: 2.4197 2022/07/27 07:06:36 - mmengine - INFO - Epoch(train) [34][320/3757] lr: 9.1934e-03 eta: 2 days, 12:19:34 time: 0.3929 data_time: 0.0163 memory: 17007 grad_norm: 5.4111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6671 loss: 2.6671 2022/07/27 07:06:44 - mmengine - INFO - Epoch(train) [34][340/3757] lr: 9.1934e-03 eta: 2 days, 12:19:27 time: 0.4004 data_time: 0.0161 memory: 17007 grad_norm: 5.3561 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7665 loss: 2.7665 2022/07/27 07:06:52 - mmengine - INFO - Epoch(train) [34][360/3757] lr: 9.1934e-03 eta: 2 days, 12:19:19 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 5.3710 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4201 loss: 2.4201 2022/07/27 07:06:59 - mmengine - INFO - Epoch(train) [34][380/3757] lr: 9.1934e-03 eta: 2 days, 12:19:11 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 5.4930 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7404 loss: 2.7404 2022/07/27 07:07:07 - mmengine - INFO - Epoch(train) [34][400/3757] lr: 9.1934e-03 eta: 2 days, 12:19:03 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 5.4150 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5812 loss: 2.5812 2022/07/27 07:07:15 - mmengine - INFO - Epoch(train) [34][420/3757] lr: 9.1934e-03 eta: 2 days, 12:18:55 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 5.2346 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6223 loss: 2.6223 2022/07/27 07:07:23 - mmengine - INFO - Epoch(train) [34][440/3757] lr: 9.1934e-03 eta: 2 days, 12:18:47 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 5.3149 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6024 loss: 2.6024 2022/07/27 07:07:31 - mmengine - INFO - Epoch(train) [34][460/3757] lr: 9.1934e-03 eta: 2 days, 12:18:40 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 5.5881 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9450 loss: 2.9450 2022/07/27 07:07:39 - mmengine - INFO - Epoch(train) [34][480/3757] lr: 9.1934e-03 eta: 2 days, 12:18:32 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 5.4282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4313 loss: 2.4313 2022/07/27 07:07:47 - mmengine - INFO - Epoch(train) [34][500/3757] lr: 9.1934e-03 eta: 2 days, 12:18:24 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 5.4732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0343 loss: 3.0343 2022/07/27 07:07:55 - mmengine - INFO - Epoch(train) [34][520/3757] lr: 9.1934e-03 eta: 2 days, 12:18:16 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 5.4030 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5787 loss: 2.5787 2022/07/27 07:08:02 - mmengine - INFO - Epoch(train) [34][540/3757] lr: 9.1934e-03 eta: 2 days, 12:18:08 time: 0.3913 data_time: 0.0150 memory: 17007 grad_norm: 5.2747 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5557 loss: 2.5557 2022/07/27 07:08:10 - mmengine - INFO - Epoch(train) [34][560/3757] lr: 9.1934e-03 eta: 2 days, 12:18:00 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 5.5559 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7100 loss: 2.7100 2022/07/27 07:08:18 - mmengine - INFO - Epoch(train) [34][580/3757] lr: 9.1934e-03 eta: 2 days, 12:17:52 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 5.4826 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7374 loss: 2.7374 2022/07/27 07:08:26 - mmengine - INFO - Epoch(train) [34][600/3757] lr: 9.1934e-03 eta: 2 days, 12:17:44 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 5.4408 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7478 loss: 2.7478 2022/07/27 07:08:34 - mmengine - INFO - Epoch(train) [34][620/3757] lr: 9.1934e-03 eta: 2 days, 12:17:36 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.3481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8075 loss: 2.8075 2022/07/27 07:08:42 - mmengine - INFO - Epoch(train) [34][640/3757] lr: 9.1934e-03 eta: 2 days, 12:17:28 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 5.4582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4127 loss: 2.4127 2022/07/27 07:08:50 - mmengine - INFO - Epoch(train) [34][660/3757] lr: 9.1934e-03 eta: 2 days, 12:17:21 time: 0.3926 data_time: 0.0142 memory: 17007 grad_norm: 5.3377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3865 loss: 2.3865 2022/07/27 07:08:57 - mmengine - INFO - Epoch(train) [34][680/3757] lr: 9.1934e-03 eta: 2 days, 12:17:13 time: 0.3944 data_time: 0.0171 memory: 17007 grad_norm: 5.6020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8985 loss: 2.8985 2022/07/27 07:09:05 - mmengine - INFO - Epoch(train) [34][700/3757] lr: 9.1934e-03 eta: 2 days, 12:17:05 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 5.5460 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5040 loss: 2.5040 2022/07/27 07:09:13 - mmengine - INFO - Epoch(train) [34][720/3757] lr: 9.1934e-03 eta: 2 days, 12:16:57 time: 0.3939 data_time: 0.0170 memory: 17007 grad_norm: 5.5813 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7983 loss: 2.7983 2022/07/27 07:09:21 - mmengine - INFO - Epoch(train) [34][740/3757] lr: 9.1934e-03 eta: 2 days, 12:16:49 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 5.5007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4585 loss: 2.4585 2022/07/27 07:09:29 - mmengine - INFO - Epoch(train) [34][760/3757] lr: 9.1934e-03 eta: 2 days, 12:16:41 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 5.4057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8620 loss: 2.8620 2022/07/27 07:09:37 - mmengine - INFO - Epoch(train) [34][780/3757] lr: 9.1934e-03 eta: 2 days, 12:16:33 time: 0.3911 data_time: 0.0139 memory: 17007 grad_norm: 5.1505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2031 loss: 2.2031 2022/07/27 07:09:45 - mmengine - INFO - Epoch(train) [34][800/3757] lr: 9.1934e-03 eta: 2 days, 12:16:25 time: 0.3936 data_time: 0.0166 memory: 17007 grad_norm: 5.4600 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7818 loss: 2.7818 2022/07/27 07:09:52 - mmengine - INFO - Epoch(train) [34][820/3757] lr: 9.1934e-03 eta: 2 days, 12:16:17 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 5.5785 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7261 loss: 2.7261 2022/07/27 07:10:00 - mmengine - INFO - Epoch(train) [34][840/3757] lr: 9.1934e-03 eta: 2 days, 12:16:09 time: 0.3933 data_time: 0.0164 memory: 17007 grad_norm: 5.5976 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5335 loss: 2.5335 2022/07/27 07:10:08 - mmengine - INFO - Epoch(train) [34][860/3757] lr: 9.1934e-03 eta: 2 days, 12:16:01 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 5.3157 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5007 loss: 2.5007 2022/07/27 07:10:16 - mmengine - INFO - Epoch(train) [34][880/3757] lr: 9.1934e-03 eta: 2 days, 12:15:54 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 5.3862 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4081 loss: 2.4081 2022/07/27 07:10:24 - mmengine - INFO - Epoch(train) [34][900/3757] lr: 9.1934e-03 eta: 2 days, 12:15:46 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 5.4306 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/07/27 07:10:32 - mmengine - INFO - Epoch(train) [34][920/3757] lr: 9.1934e-03 eta: 2 days, 12:15:38 time: 0.3919 data_time: 0.0164 memory: 17007 grad_norm: 5.4628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6554 loss: 2.6554 2022/07/27 07:10:40 - mmengine - INFO - Epoch(train) [34][940/3757] lr: 9.1934e-03 eta: 2 days, 12:15:30 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 5.6242 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7225 loss: 2.7225 2022/07/27 07:10:48 - mmengine - INFO - Epoch(train) [34][960/3757] lr: 9.1934e-03 eta: 2 days, 12:15:22 time: 0.3936 data_time: 0.0163 memory: 17007 grad_norm: 5.2423 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3915 loss: 2.3915 2022/07/27 07:10:55 - mmengine - INFO - Epoch(train) [34][980/3757] lr: 9.1934e-03 eta: 2 days, 12:15:14 time: 0.3964 data_time: 0.0158 memory: 17007 grad_norm: 5.7427 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9250 loss: 2.9250 2022/07/27 07:11:03 - mmengine - INFO - Epoch(train) [34][1000/3757] lr: 9.1934e-03 eta: 2 days, 12:15:06 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 5.6900 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9207 loss: 2.9207 2022/07/27 07:11:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:11:11 - mmengine - INFO - Epoch(train) [34][1020/3757] lr: 9.1934e-03 eta: 2 days, 12:14:59 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 5.5810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8732 loss: 2.8732 2022/07/27 07:11:19 - mmengine - INFO - Epoch(train) [34][1040/3757] lr: 9.1934e-03 eta: 2 days, 12:14:51 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 5.5496 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3602 loss: 2.3602 2022/07/27 07:11:27 - mmengine - INFO - Epoch(train) [34][1060/3757] lr: 9.1934e-03 eta: 2 days, 12:14:43 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 5.5150 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5253 loss: 2.5253 2022/07/27 07:11:35 - mmengine - INFO - Epoch(train) [34][1080/3757] lr: 9.1934e-03 eta: 2 days, 12:14:35 time: 0.3985 data_time: 0.0165 memory: 17007 grad_norm: 5.4322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8228 loss: 2.8228 2022/07/27 07:11:43 - mmengine - INFO - Epoch(train) [34][1100/3757] lr: 9.1934e-03 eta: 2 days, 12:14:27 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 5.2715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8288 loss: 2.8288 2022/07/27 07:11:51 - mmengine - INFO - Epoch(train) [34][1120/3757] lr: 9.1934e-03 eta: 2 days, 12:14:19 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 5.5128 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6476 loss: 2.6476 2022/07/27 07:11:59 - mmengine - INFO - Epoch(train) [34][1140/3757] lr: 9.1934e-03 eta: 2 days, 12:14:12 time: 0.3977 data_time: 0.0154 memory: 17007 grad_norm: 5.3796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3682 loss: 2.3682 2022/07/27 07:12:06 - mmengine - INFO - Epoch(train) [34][1160/3757] lr: 9.1934e-03 eta: 2 days, 12:14:04 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 5.4337 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5336 loss: 2.5336 2022/07/27 07:12:14 - mmengine - INFO - Epoch(train) [34][1180/3757] lr: 9.1934e-03 eta: 2 days, 12:13:56 time: 0.3914 data_time: 0.0149 memory: 17007 grad_norm: 5.4178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7158 loss: 2.7158 2022/07/27 07:12:22 - mmengine - INFO - Epoch(train) [34][1200/3757] lr: 9.1934e-03 eta: 2 days, 12:13:48 time: 0.3915 data_time: 0.0162 memory: 17007 grad_norm: 5.3583 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4317 loss: 2.4317 2022/07/27 07:12:30 - mmengine - INFO - Epoch(train) [34][1220/3757] lr: 9.1934e-03 eta: 2 days, 12:13:40 time: 0.3922 data_time: 0.0148 memory: 17007 grad_norm: 5.5726 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4728 loss: 2.4728 2022/07/27 07:12:38 - mmengine - INFO - Epoch(train) [34][1240/3757] lr: 9.1934e-03 eta: 2 days, 12:13:32 time: 0.3951 data_time: 0.0164 memory: 17007 grad_norm: 5.4216 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3526 loss: 2.3526 2022/07/27 07:12:46 - mmengine - INFO - Epoch(train) [34][1260/3757] lr: 9.1934e-03 eta: 2 days, 12:13:24 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 5.3581 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5883 loss: 2.5883 2022/07/27 07:12:54 - mmengine - INFO - Epoch(train) [34][1280/3757] lr: 9.1934e-03 eta: 2 days, 12:13:16 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.3745 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5439 loss: 2.5439 2022/07/27 07:13:01 - mmengine - INFO - Epoch(train) [34][1300/3757] lr: 9.1934e-03 eta: 2 days, 12:13:08 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 5.4043 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7713 loss: 2.7713 2022/07/27 07:13:09 - mmengine - INFO - Epoch(train) [34][1320/3757] lr: 9.1934e-03 eta: 2 days, 12:13:00 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 5.5021 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4906 loss: 2.4906 2022/07/27 07:13:17 - mmengine - INFO - Epoch(train) [34][1340/3757] lr: 9.1934e-03 eta: 2 days, 12:12:52 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 5.4133 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.7439 loss: 2.7439 2022/07/27 07:13:25 - mmengine - INFO - Epoch(train) [34][1360/3757] lr: 9.1934e-03 eta: 2 days, 12:12:45 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 5.5884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8911 loss: 2.8911 2022/07/27 07:13:33 - mmengine - INFO - Epoch(train) [34][1380/3757] lr: 9.1934e-03 eta: 2 days, 12:12:37 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 5.4726 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7865 loss: 2.7865 2022/07/27 07:13:41 - mmengine - INFO - Epoch(train) [34][1400/3757] lr: 9.1934e-03 eta: 2 days, 12:12:30 time: 0.4064 data_time: 0.0163 memory: 17007 grad_norm: 5.4778 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7367 loss: 2.7367 2022/07/27 07:13:49 - mmengine - INFO - Epoch(train) [34][1420/3757] lr: 9.1934e-03 eta: 2 days, 12:12:22 time: 0.3922 data_time: 0.0162 memory: 17007 grad_norm: 5.3544 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3656 loss: 2.3656 2022/07/27 07:13:57 - mmengine - INFO - Epoch(train) [34][1440/3757] lr: 9.1934e-03 eta: 2 days, 12:12:16 time: 0.4168 data_time: 0.0170 memory: 17007 grad_norm: 5.3182 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6263 loss: 2.6263 2022/07/27 07:14:05 - mmengine - INFO - Epoch(train) [34][1460/3757] lr: 9.1934e-03 eta: 2 days, 12:12:08 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 5.2914 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3513 loss: 2.3513 2022/07/27 07:14:13 - mmengine - INFO - Epoch(train) [34][1480/3757] lr: 9.1934e-03 eta: 2 days, 12:12:00 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 5.3399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6264 loss: 2.6264 2022/07/27 07:14:21 - mmengine - INFO - Epoch(train) [34][1500/3757] lr: 9.1934e-03 eta: 2 days, 12:11:52 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 5.5240 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8335 loss: 2.8335 2022/07/27 07:14:29 - mmengine - INFO - Epoch(train) [34][1520/3757] lr: 9.1934e-03 eta: 2 days, 12:11:44 time: 0.3933 data_time: 0.0171 memory: 17007 grad_norm: 5.3837 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6659 loss: 2.6659 2022/07/27 07:14:36 - mmengine - INFO - Epoch(train) [34][1540/3757] lr: 9.1934e-03 eta: 2 days, 12:11:37 time: 0.3933 data_time: 0.0171 memory: 17007 grad_norm: 5.4094 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5593 loss: 2.5593 2022/07/27 07:14:44 - mmengine - INFO - Epoch(train) [34][1560/3757] lr: 9.1934e-03 eta: 2 days, 12:11:29 time: 0.3951 data_time: 0.0172 memory: 17007 grad_norm: 5.4160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7322 loss: 2.7322 2022/07/27 07:14:52 - mmengine - INFO - Epoch(train) [34][1580/3757] lr: 9.1934e-03 eta: 2 days, 12:11:21 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 5.6494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5953 loss: 2.5953 2022/07/27 07:15:00 - mmengine - INFO - Epoch(train) [34][1600/3757] lr: 9.1934e-03 eta: 2 days, 12:11:13 time: 0.3967 data_time: 0.0168 memory: 17007 grad_norm: 5.6605 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7065 loss: 2.7065 2022/07/27 07:15:08 - mmengine - INFO - Epoch(train) [34][1620/3757] lr: 9.1934e-03 eta: 2 days, 12:11:05 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 5.5805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7934 loss: 2.7934 2022/07/27 07:15:16 - mmengine - INFO - Epoch(train) [34][1640/3757] lr: 9.1934e-03 eta: 2 days, 12:10:58 time: 0.3940 data_time: 0.0169 memory: 17007 grad_norm: 5.5548 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6913 loss: 2.6913 2022/07/27 07:15:24 - mmengine - INFO - Epoch(train) [34][1660/3757] lr: 9.1934e-03 eta: 2 days, 12:10:50 time: 0.3921 data_time: 0.0160 memory: 17007 grad_norm: 5.5239 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6142 loss: 2.6142 2022/07/27 07:15:32 - mmengine - INFO - Epoch(train) [34][1680/3757] lr: 9.1934e-03 eta: 2 days, 12:10:42 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.4038 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7766 loss: 2.7766 2022/07/27 07:15:39 - mmengine - INFO - Epoch(train) [34][1700/3757] lr: 9.1934e-03 eta: 2 days, 12:10:34 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 5.2370 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4422 loss: 2.4422 2022/07/27 07:15:47 - mmengine - INFO - Epoch(train) [34][1720/3757] lr: 9.1934e-03 eta: 2 days, 12:10:26 time: 0.3941 data_time: 0.0168 memory: 17007 grad_norm: 5.4685 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7806 loss: 2.7806 2022/07/27 07:15:55 - mmengine - INFO - Epoch(train) [34][1740/3757] lr: 9.1934e-03 eta: 2 days, 12:10:18 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 5.3426 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3454 loss: 2.3454 2022/07/27 07:16:03 - mmengine - INFO - Epoch(train) [34][1760/3757] lr: 9.1934e-03 eta: 2 days, 12:10:10 time: 0.3933 data_time: 0.0169 memory: 17007 grad_norm: 5.5002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4166 loss: 2.4166 2022/07/27 07:16:11 - mmengine - INFO - Epoch(train) [34][1780/3757] lr: 9.1934e-03 eta: 2 days, 12:10:03 time: 0.3995 data_time: 0.0160 memory: 17007 grad_norm: 5.6017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8164 loss: 2.8164 2022/07/27 07:16:19 - mmengine - INFO - Epoch(train) [34][1800/3757] lr: 9.1934e-03 eta: 2 days, 12:09:55 time: 0.3979 data_time: 0.0156 memory: 17007 grad_norm: 5.4786 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5920 loss: 2.5920 2022/07/27 07:16:27 - mmengine - INFO - Epoch(train) [34][1820/3757] lr: 9.1934e-03 eta: 2 days, 12:09:48 time: 0.4033 data_time: 0.0153 memory: 17007 grad_norm: 5.6879 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5924 loss: 2.5924 2022/07/27 07:16:35 - mmengine - INFO - Epoch(train) [34][1840/3757] lr: 9.1934e-03 eta: 2 days, 12:09:41 time: 0.3949 data_time: 0.0152 memory: 17007 grad_norm: 5.4420 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8806 loss: 2.8806 2022/07/27 07:16:43 - mmengine - INFO - Epoch(train) [34][1860/3757] lr: 9.1934e-03 eta: 2 days, 12:09:33 time: 0.3913 data_time: 0.0151 memory: 17007 grad_norm: 5.2577 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6803 loss: 2.6803 2022/07/27 07:16:51 - mmengine - INFO - Epoch(train) [34][1880/3757] lr: 9.1934e-03 eta: 2 days, 12:09:26 time: 0.4052 data_time: 0.0164 memory: 17007 grad_norm: 5.3820 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5494 loss: 2.5494 2022/07/27 07:16:59 - mmengine - INFO - Epoch(train) [34][1900/3757] lr: 9.1934e-03 eta: 2 days, 12:09:18 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 5.3366 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6271 loss: 2.6271 2022/07/27 07:17:07 - mmengine - INFO - Epoch(train) [34][1920/3757] lr: 9.1934e-03 eta: 2 days, 12:09:11 time: 0.3991 data_time: 0.0165 memory: 17007 grad_norm: 5.5225 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6952 loss: 2.6952 2022/07/27 07:17:15 - mmengine - INFO - Epoch(train) [34][1940/3757] lr: 9.1934e-03 eta: 2 days, 12:09:03 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 5.3845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4638 loss: 2.4638 2022/07/27 07:17:23 - mmengine - INFO - Epoch(train) [34][1960/3757] lr: 9.1934e-03 eta: 2 days, 12:08:55 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.5826 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7195 loss: 2.7195 2022/07/27 07:17:31 - mmengine - INFO - Epoch(train) [34][1980/3757] lr: 9.1934e-03 eta: 2 days, 12:08:47 time: 0.3956 data_time: 0.0165 memory: 17007 grad_norm: 5.3064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5318 loss: 2.5318 2022/07/27 07:17:38 - mmengine - INFO - Epoch(train) [34][2000/3757] lr: 9.1934e-03 eta: 2 days, 12:08:39 time: 0.3975 data_time: 0.0169 memory: 17007 grad_norm: 5.4371 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6664 loss: 2.6664 2022/07/27 07:17:46 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:17:46 - mmengine - INFO - Epoch(train) [34][2020/3757] lr: 9.1934e-03 eta: 2 days, 12:08:32 time: 0.3968 data_time: 0.0140 memory: 17007 grad_norm: 5.3390 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4630 loss: 2.4630 2022/07/27 07:17:54 - mmengine - INFO - Epoch(train) [34][2040/3757] lr: 9.1934e-03 eta: 2 days, 12:08:24 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 5.5871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6804 loss: 2.6804 2022/07/27 07:18:02 - mmengine - INFO - Epoch(train) [34][2060/3757] lr: 9.1934e-03 eta: 2 days, 12:08:16 time: 0.3947 data_time: 0.0156 memory: 17007 grad_norm: 5.4548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5642 loss: 2.5642 2022/07/27 07:18:10 - mmengine - INFO - Epoch(train) [34][2080/3757] lr: 9.1934e-03 eta: 2 days, 12:08:09 time: 0.3984 data_time: 0.0157 memory: 17007 grad_norm: 5.4495 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8500 loss: 2.8500 2022/07/27 07:18:18 - mmengine - INFO - Epoch(train) [34][2100/3757] lr: 9.1934e-03 eta: 2 days, 12:08:01 time: 0.3926 data_time: 0.0165 memory: 17007 grad_norm: 5.4420 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8342 loss: 2.8342 2022/07/27 07:18:26 - mmengine - INFO - Epoch(train) [34][2120/3757] lr: 9.1934e-03 eta: 2 days, 12:07:53 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 5.2854 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5351 loss: 2.5351 2022/07/27 07:18:34 - mmengine - INFO - Epoch(train) [34][2140/3757] lr: 9.1934e-03 eta: 2 days, 12:07:45 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 5.5470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8941 loss: 2.8941 2022/07/27 07:18:42 - mmengine - INFO - Epoch(train) [34][2160/3757] lr: 9.1934e-03 eta: 2 days, 12:07:37 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.4452 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7789 loss: 2.7789 2022/07/27 07:18:49 - mmengine - INFO - Epoch(train) [34][2180/3757] lr: 9.1934e-03 eta: 2 days, 12:07:29 time: 0.3914 data_time: 0.0141 memory: 17007 grad_norm: 5.6649 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6078 loss: 2.6078 2022/07/27 07:18:57 - mmengine - INFO - Epoch(train) [34][2200/3757] lr: 9.1934e-03 eta: 2 days, 12:07:21 time: 0.3939 data_time: 0.0171 memory: 17007 grad_norm: 5.6130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6222 loss: 2.6222 2022/07/27 07:19:05 - mmengine - INFO - Epoch(train) [34][2220/3757] lr: 9.1934e-03 eta: 2 days, 12:07:13 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 5.5383 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9529 loss: 2.9529 2022/07/27 07:19:13 - mmengine - INFO - Epoch(train) [34][2240/3757] lr: 9.1934e-03 eta: 2 days, 12:07:05 time: 0.3919 data_time: 0.0156 memory: 17007 grad_norm: 5.5543 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5602 loss: 2.5602 2022/07/27 07:19:21 - mmengine - INFO - Epoch(train) [34][2260/3757] lr: 9.1934e-03 eta: 2 days, 12:06:57 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 5.5362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8021 loss: 2.8021 2022/07/27 07:19:29 - mmengine - INFO - Epoch(train) [34][2280/3757] lr: 9.1934e-03 eta: 2 days, 12:06:49 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 5.5338 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4511 loss: 2.4511 2022/07/27 07:19:37 - mmengine - INFO - Epoch(train) [34][2300/3757] lr: 9.1934e-03 eta: 2 days, 12:06:41 time: 0.3944 data_time: 0.0171 memory: 17007 grad_norm: 5.3656 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6202 loss: 2.6202 2022/07/27 07:19:44 - mmengine - INFO - Epoch(train) [34][2320/3757] lr: 9.1934e-03 eta: 2 days, 12:06:33 time: 0.3920 data_time: 0.0161 memory: 17007 grad_norm: 5.3013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4486 loss: 2.4486 2022/07/27 07:19:52 - mmengine - INFO - Epoch(train) [34][2340/3757] lr: 9.1934e-03 eta: 2 days, 12:06:25 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 5.4082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8492 loss: 2.8492 2022/07/27 07:20:00 - mmengine - INFO - Epoch(train) [34][2360/3757] lr: 9.1934e-03 eta: 2 days, 12:06:18 time: 0.3934 data_time: 0.0168 memory: 17007 grad_norm: 5.4104 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3546 loss: 2.3546 2022/07/27 07:20:08 - mmengine - INFO - Epoch(train) [34][2380/3757] lr: 9.1934e-03 eta: 2 days, 12:06:10 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 5.4961 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7360 loss: 2.7360 2022/07/27 07:20:16 - mmengine - INFO - Epoch(train) [34][2400/3757] lr: 9.1934e-03 eta: 2 days, 12:06:02 time: 0.3974 data_time: 0.0163 memory: 17007 grad_norm: 5.4830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5628 loss: 2.5628 2022/07/27 07:20:24 - mmengine - INFO - Epoch(train) [34][2420/3757] lr: 9.1934e-03 eta: 2 days, 12:05:54 time: 0.3915 data_time: 0.0142 memory: 17007 grad_norm: 5.1631 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5522 loss: 2.5522 2022/07/27 07:20:32 - mmengine - INFO - Epoch(train) [34][2440/3757] lr: 9.1934e-03 eta: 2 days, 12:05:46 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 5.4889 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7248 loss: 2.7248 2022/07/27 07:20:40 - mmengine - INFO - Epoch(train) [34][2460/3757] lr: 9.1934e-03 eta: 2 days, 12:05:39 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 5.4262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8191 loss: 2.8191 2022/07/27 07:20:47 - mmengine - INFO - Epoch(train) [34][2480/3757] lr: 9.1934e-03 eta: 2 days, 12:05:31 time: 0.3933 data_time: 0.0161 memory: 17007 grad_norm: 5.3364 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5578 loss: 2.5578 2022/07/27 07:20:55 - mmengine - INFO - Epoch(train) [34][2500/3757] lr: 9.1934e-03 eta: 2 days, 12:05:23 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 5.3942 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3307 loss: 2.3307 2022/07/27 07:21:03 - mmengine - INFO - Epoch(train) [34][2520/3757] lr: 9.1934e-03 eta: 2 days, 12:05:15 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 5.5096 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4816 loss: 2.4816 2022/07/27 07:21:11 - mmengine - INFO - Epoch(train) [34][2540/3757] lr: 9.1934e-03 eta: 2 days, 12:05:07 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 5.4872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5676 loss: 2.5676 2022/07/27 07:21:19 - mmengine - INFO - Epoch(train) [34][2560/3757] lr: 9.1934e-03 eta: 2 days, 12:05:00 time: 0.3999 data_time: 0.0172 memory: 17007 grad_norm: 5.3896 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6348 loss: 2.6348 2022/07/27 07:21:27 - mmengine - INFO - Epoch(train) [34][2580/3757] lr: 9.1934e-03 eta: 2 days, 12:04:52 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 5.4355 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4762 loss: 2.4762 2022/07/27 07:21:35 - mmengine - INFO - Epoch(train) [34][2600/3757] lr: 9.1934e-03 eta: 2 days, 12:04:44 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 5.2756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3642 loss: 2.3642 2022/07/27 07:21:43 - mmengine - INFO - Epoch(train) [34][2620/3757] lr: 9.1934e-03 eta: 2 days, 12:04:36 time: 0.3952 data_time: 0.0161 memory: 17007 grad_norm: 5.2770 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5527 loss: 2.5527 2022/07/27 07:21:50 - mmengine - INFO - Epoch(train) [34][2640/3757] lr: 9.1934e-03 eta: 2 days, 12:04:28 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 5.3645 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3096 loss: 2.3096 2022/07/27 07:21:58 - mmengine - INFO - Epoch(train) [34][2660/3757] lr: 9.1934e-03 eta: 2 days, 12:04:20 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 5.4941 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9187 loss: 2.9187 2022/07/27 07:22:06 - mmengine - INFO - Epoch(train) [34][2680/3757] lr: 9.1934e-03 eta: 2 days, 12:04:12 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 5.4235 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6601 loss: 2.6601 2022/07/27 07:22:14 - mmengine - INFO - Epoch(train) [34][2700/3757] lr: 9.1934e-03 eta: 2 days, 12:04:04 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 5.4136 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8429 loss: 2.8429 2022/07/27 07:22:22 - mmengine - INFO - Epoch(train) [34][2720/3757] lr: 9.1934e-03 eta: 2 days, 12:03:57 time: 0.4020 data_time: 0.0168 memory: 17007 grad_norm: 5.5768 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5868 loss: 2.5868 2022/07/27 07:22:30 - mmengine - INFO - Epoch(train) [34][2740/3757] lr: 9.1934e-03 eta: 2 days, 12:03:49 time: 0.3910 data_time: 0.0146 memory: 17007 grad_norm: 5.4717 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0041 loss: 3.0041 2022/07/27 07:22:38 - mmengine - INFO - Epoch(train) [34][2760/3757] lr: 9.1934e-03 eta: 2 days, 12:03:42 time: 0.3990 data_time: 0.0164 memory: 17007 grad_norm: 5.3604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6909 loss: 2.6909 2022/07/27 07:22:46 - mmengine - INFO - Epoch(train) [34][2780/3757] lr: 9.1934e-03 eta: 2 days, 12:03:34 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 5.4293 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8337 loss: 2.8337 2022/07/27 07:22:54 - mmengine - INFO - Epoch(train) [34][2800/3757] lr: 9.1934e-03 eta: 2 days, 12:03:26 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 5.5141 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7387 loss: 2.7387 2022/07/27 07:23:02 - mmengine - INFO - Epoch(train) [34][2820/3757] lr: 9.1934e-03 eta: 2 days, 12:03:18 time: 0.3963 data_time: 0.0142 memory: 17007 grad_norm: 5.5626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6813 loss: 2.6813 2022/07/27 07:23:09 - mmengine - INFO - Epoch(train) [34][2840/3757] lr: 9.1934e-03 eta: 2 days, 12:03:10 time: 0.3948 data_time: 0.0168 memory: 17007 grad_norm: 5.6434 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7494 loss: 2.7494 2022/07/27 07:23:17 - mmengine - INFO - Epoch(train) [34][2860/3757] lr: 9.1934e-03 eta: 2 days, 12:03:03 time: 0.3986 data_time: 0.0154 memory: 17007 grad_norm: 5.4326 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0491 loss: 3.0491 2022/07/27 07:23:25 - mmengine - INFO - Epoch(train) [34][2880/3757] lr: 9.1934e-03 eta: 2 days, 12:02:55 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 5.5512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6204 loss: 2.6204 2022/07/27 07:23:33 - mmengine - INFO - Epoch(train) [34][2900/3757] lr: 9.1934e-03 eta: 2 days, 12:02:47 time: 0.3924 data_time: 0.0141 memory: 17007 grad_norm: 5.6010 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8546 loss: 2.8546 2022/07/27 07:23:41 - mmengine - INFO - Epoch(train) [34][2920/3757] lr: 9.1934e-03 eta: 2 days, 12:02:39 time: 0.3945 data_time: 0.0154 memory: 17007 grad_norm: 5.3496 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4148 loss: 2.4148 2022/07/27 07:23:49 - mmengine - INFO - Epoch(train) [34][2940/3757] lr: 9.1934e-03 eta: 2 days, 12:02:31 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 5.3031 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8673 loss: 2.8673 2022/07/27 07:23:57 - mmengine - INFO - Epoch(train) [34][2960/3757] lr: 9.1934e-03 eta: 2 days, 12:02:24 time: 0.3962 data_time: 0.0157 memory: 17007 grad_norm: 5.5161 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8205 loss: 2.8205 2022/07/27 07:24:05 - mmengine - INFO - Epoch(train) [34][2980/3757] lr: 9.1934e-03 eta: 2 days, 12:02:16 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.3415 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4538 loss: 2.4538 2022/07/27 07:24:13 - mmengine - INFO - Epoch(train) [34][3000/3757] lr: 9.1934e-03 eta: 2 days, 12:02:08 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 5.2655 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7311 loss: 2.7311 2022/07/27 07:24:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:24:20 - mmengine - INFO - Epoch(train) [34][3020/3757] lr: 9.1934e-03 eta: 2 days, 12:02:00 time: 0.3952 data_time: 0.0156 memory: 17007 grad_norm: 5.2643 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5662 loss: 2.5662 2022/07/27 07:24:28 - mmengine - INFO - Epoch(train) [34][3040/3757] lr: 9.1934e-03 eta: 2 days, 12:01:52 time: 0.3936 data_time: 0.0179 memory: 17007 grad_norm: 5.3335 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5071 loss: 2.5071 2022/07/27 07:24:36 - mmengine - INFO - Epoch(train) [34][3060/3757] lr: 9.1934e-03 eta: 2 days, 12:01:44 time: 0.3930 data_time: 0.0142 memory: 17007 grad_norm: 5.4758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5538 loss: 2.5538 2022/07/27 07:24:44 - mmengine - INFO - Epoch(train) [34][3080/3757] lr: 9.1934e-03 eta: 2 days, 12:01:36 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 5.5426 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8339 loss: 2.8339 2022/07/27 07:24:52 - mmengine - INFO - Epoch(train) [34][3100/3757] lr: 9.1934e-03 eta: 2 days, 12:01:28 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 5.6551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5814 loss: 2.5814 2022/07/27 07:25:00 - mmengine - INFO - Epoch(train) [34][3120/3757] lr: 9.1934e-03 eta: 2 days, 12:01:21 time: 0.3972 data_time: 0.0148 memory: 17007 grad_norm: 5.4257 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7046 loss: 2.7046 2022/07/27 07:25:08 - mmengine - INFO - Epoch(train) [34][3140/3757] lr: 9.1934e-03 eta: 2 days, 12:01:13 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 5.3370 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6158 loss: 2.6158 2022/07/27 07:25:16 - mmengine - INFO - Epoch(train) [34][3160/3757] lr: 9.1934e-03 eta: 2 days, 12:01:06 time: 0.4012 data_time: 0.0159 memory: 17007 grad_norm: 5.3434 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7677 loss: 2.7677 2022/07/27 07:25:24 - mmengine - INFO - Epoch(train) [34][3180/3757] lr: 9.1934e-03 eta: 2 days, 12:00:58 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 5.4307 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4157 loss: 2.4157 2022/07/27 07:25:31 - mmengine - INFO - Epoch(train) [34][3200/3757] lr: 9.1934e-03 eta: 2 days, 12:00:50 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.5753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6877 loss: 2.6877 2022/07/27 07:25:39 - mmengine - INFO - Epoch(train) [34][3220/3757] lr: 9.1934e-03 eta: 2 days, 12:00:42 time: 0.3947 data_time: 0.0160 memory: 17007 grad_norm: 5.6413 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8955 loss: 2.8955 2022/07/27 07:25:47 - mmengine - INFO - Epoch(train) [34][3240/3757] lr: 9.1934e-03 eta: 2 days, 12:00:34 time: 0.3954 data_time: 0.0176 memory: 17007 grad_norm: 5.5364 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4716 loss: 2.4716 2022/07/27 07:25:55 - mmengine - INFO - Epoch(train) [34][3260/3757] lr: 9.1934e-03 eta: 2 days, 12:00:26 time: 0.3904 data_time: 0.0145 memory: 17007 grad_norm: 5.4678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6501 loss: 2.6501 2022/07/27 07:26:03 - mmengine - INFO - Epoch(train) [34][3280/3757] lr: 9.1934e-03 eta: 2 days, 12:00:18 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 5.3921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6426 loss: 2.6426 2022/07/27 07:26:11 - mmengine - INFO - Epoch(train) [34][3300/3757] lr: 9.1934e-03 eta: 2 days, 12:00:10 time: 0.3936 data_time: 0.0164 memory: 17007 grad_norm: 5.2921 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5852 loss: 2.5852 2022/07/27 07:26:19 - mmengine - INFO - Epoch(train) [34][3320/3757] lr: 9.1934e-03 eta: 2 days, 12:00:03 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 5.5535 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.6875 loss: 2.6875 2022/07/27 07:26:27 - mmengine - INFO - Epoch(train) [34][3340/3757] lr: 9.1934e-03 eta: 2 days, 11:59:55 time: 0.3949 data_time: 0.0171 memory: 17007 grad_norm: 5.3810 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9172 loss: 2.9172 2022/07/27 07:26:34 - mmengine - INFO - Epoch(train) [34][3360/3757] lr: 9.1934e-03 eta: 2 days, 11:59:47 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 5.5416 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6461 loss: 2.6461 2022/07/27 07:26:42 - mmengine - INFO - Epoch(train) [34][3380/3757] lr: 9.1934e-03 eta: 2 days, 11:59:40 time: 0.4018 data_time: 0.0153 memory: 17007 grad_norm: 5.4514 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3752 loss: 2.3752 2022/07/27 07:26:50 - mmengine - INFO - Epoch(train) [34][3400/3757] lr: 9.1934e-03 eta: 2 days, 11:59:32 time: 0.3948 data_time: 0.0165 memory: 17007 grad_norm: 5.3960 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0664 loss: 3.0664 2022/07/27 07:26:58 - mmengine - INFO - Epoch(train) [34][3420/3757] lr: 9.1934e-03 eta: 2 days, 11:59:24 time: 0.3958 data_time: 0.0154 memory: 17007 grad_norm: 5.3439 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6158 loss: 2.6158 2022/07/27 07:27:06 - mmengine - INFO - Epoch(train) [34][3440/3757] lr: 9.1934e-03 eta: 2 days, 11:59:16 time: 0.3923 data_time: 0.0168 memory: 17007 grad_norm: 5.4268 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8740 loss: 2.8740 2022/07/27 07:27:14 - mmengine - INFO - Epoch(train) [34][3460/3757] lr: 9.1934e-03 eta: 2 days, 11:59:08 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 5.4653 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8348 loss: 2.8348 2022/07/27 07:27:22 - mmengine - INFO - Epoch(train) [34][3480/3757] lr: 9.1934e-03 eta: 2 days, 11:59:01 time: 0.4025 data_time: 0.0162 memory: 17007 grad_norm: 5.3828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5738 loss: 2.5738 2022/07/27 07:27:30 - mmengine - INFO - Epoch(train) [34][3500/3757] lr: 9.1934e-03 eta: 2 days, 11:58:53 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 5.2885 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5409 loss: 2.5409 2022/07/27 07:27:38 - mmengine - INFO - Epoch(train) [34][3520/3757] lr: 9.1934e-03 eta: 2 days, 11:58:45 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 5.5616 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9648 loss: 2.9648 2022/07/27 07:27:46 - mmengine - INFO - Epoch(train) [34][3540/3757] lr: 9.1934e-03 eta: 2 days, 11:58:37 time: 0.3913 data_time: 0.0155 memory: 17007 grad_norm: 5.3848 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5541 loss: 2.5541 2022/07/27 07:27:53 - mmengine - INFO - Epoch(train) [34][3560/3757] lr: 9.1934e-03 eta: 2 days, 11:58:29 time: 0.3934 data_time: 0.0168 memory: 17007 grad_norm: 5.3909 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.6492 loss: 2.6492 2022/07/27 07:28:01 - mmengine - INFO - Epoch(train) [34][3580/3757] lr: 9.1934e-03 eta: 2 days, 11:58:22 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 5.3875 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4909 loss: 2.4909 2022/07/27 07:28:09 - mmengine - INFO - Epoch(train) [34][3600/3757] lr: 9.1934e-03 eta: 2 days, 11:58:14 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 5.4595 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7607 loss: 2.7607 2022/07/27 07:28:17 - mmengine - INFO - Epoch(train) [34][3620/3757] lr: 9.1934e-03 eta: 2 days, 11:58:06 time: 0.3961 data_time: 0.0160 memory: 17007 grad_norm: 5.4173 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4493 loss: 2.4493 2022/07/27 07:28:25 - mmengine - INFO - Epoch(train) [34][3640/3757] lr: 9.1934e-03 eta: 2 days, 11:57:58 time: 0.3905 data_time: 0.0151 memory: 17007 grad_norm: 5.6842 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9837 loss: 2.9837 2022/07/27 07:28:33 - mmengine - INFO - Epoch(train) [34][3660/3757] lr: 9.1934e-03 eta: 2 days, 11:57:50 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 5.3451 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9667 loss: 2.9667 2022/07/27 07:28:41 - mmengine - INFO - Epoch(train) [34][3680/3757] lr: 9.1934e-03 eta: 2 days, 11:57:43 time: 0.3995 data_time: 0.0164 memory: 17007 grad_norm: 5.5784 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6235 loss: 2.6235 2022/07/27 07:28:49 - mmengine - INFO - Epoch(train) [34][3700/3757] lr: 9.1934e-03 eta: 2 days, 11:57:35 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 5.5636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1511 loss: 3.1511 2022/07/27 07:28:57 - mmengine - INFO - Epoch(train) [34][3720/3757] lr: 9.1934e-03 eta: 2 days, 11:57:27 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 5.6009 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8280 loss: 2.8280 2022/07/27 07:29:04 - mmengine - INFO - Epoch(train) [34][3740/3757] lr: 9.1934e-03 eta: 2 days, 11:57:19 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 5.6065 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5577 loss: 2.5577 2022/07/27 07:29:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:29:11 - mmengine - INFO - Epoch(train) [34][3757/3757] lr: 9.1934e-03 eta: 2 days, 11:57:19 time: 0.3916 data_time: 0.0177 memory: 17007 grad_norm: 5.3613 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.6512 loss: 2.6512 2022/07/27 07:29:11 - mmengine - INFO - Saving checkpoint at 34 epochs 2022/07/27 07:29:22 - mmengine - INFO - Epoch(train) [35][20/3757] lr: 9.1452e-03 eta: 2 days, 11:56:41 time: 0.4529 data_time: 0.0749 memory: 17007 grad_norm: 5.3196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5201 loss: 2.5201 2022/07/27 07:29:30 - mmengine - INFO - Epoch(train) [35][40/3757] lr: 9.1452e-03 eta: 2 days, 11:56:33 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 5.4583 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6544 loss: 2.6544 2022/07/27 07:29:38 - mmengine - INFO - Epoch(train) [35][60/3757] lr: 9.1452e-03 eta: 2 days, 11:56:25 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 5.2840 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6838 loss: 2.6838 2022/07/27 07:29:46 - mmengine - INFO - Epoch(train) [35][80/3757] lr: 9.1452e-03 eta: 2 days, 11:56:17 time: 0.3920 data_time: 0.0161 memory: 17007 grad_norm: 5.5469 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5865 loss: 2.5865 2022/07/27 07:29:53 - mmengine - INFO - Epoch(train) [35][100/3757] lr: 9.1452e-03 eta: 2 days, 11:56:09 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 5.2796 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8044 loss: 2.8044 2022/07/27 07:30:01 - mmengine - INFO - Epoch(train) [35][120/3757] lr: 9.1452e-03 eta: 2 days, 11:56:01 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 5.3431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5836 loss: 2.5836 2022/07/27 07:30:09 - mmengine - INFO - Epoch(train) [35][140/3757] lr: 9.1452e-03 eta: 2 days, 11:55:53 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 5.3460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3404 loss: 2.3404 2022/07/27 07:30:17 - mmengine - INFO - Epoch(train) [35][160/3757] lr: 9.1452e-03 eta: 2 days, 11:55:46 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 5.2665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5532 loss: 2.5532 2022/07/27 07:30:25 - mmengine - INFO - Epoch(train) [35][180/3757] lr: 9.1452e-03 eta: 2 days, 11:55:38 time: 0.3915 data_time: 0.0149 memory: 17007 grad_norm: 5.4341 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6411 loss: 2.6411 2022/07/27 07:30:33 - mmengine - INFO - Epoch(train) [35][200/3757] lr: 9.1452e-03 eta: 2 days, 11:55:30 time: 0.3965 data_time: 0.0179 memory: 17007 grad_norm: 5.5365 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9042 loss: 2.9042 2022/07/27 07:30:41 - mmengine - INFO - Epoch(train) [35][220/3757] lr: 9.1452e-03 eta: 2 days, 11:55:22 time: 0.3910 data_time: 0.0144 memory: 17007 grad_norm: 5.2821 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4863 loss: 2.4863 2022/07/27 07:30:49 - mmengine - INFO - Epoch(train) [35][240/3757] lr: 9.1452e-03 eta: 2 days, 11:55:14 time: 0.3947 data_time: 0.0172 memory: 17007 grad_norm: 5.5366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3831 loss: 2.3831 2022/07/27 07:30:56 - mmengine - INFO - Epoch(train) [35][260/3757] lr: 9.1452e-03 eta: 2 days, 11:55:06 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 5.4561 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6269 loss: 2.6269 2022/07/27 07:30:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:31:04 - mmengine - INFO - Epoch(train) [35][280/3757] lr: 9.1452e-03 eta: 2 days, 11:54:58 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 5.3386 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5418 loss: 2.5418 2022/07/27 07:31:12 - mmengine - INFO - Epoch(train) [35][300/3757] lr: 9.1452e-03 eta: 2 days, 11:54:50 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 5.3795 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7890 loss: 2.7890 2022/07/27 07:31:20 - mmengine - INFO - Epoch(train) [35][320/3757] lr: 9.1452e-03 eta: 2 days, 11:54:42 time: 0.3934 data_time: 0.0167 memory: 17007 grad_norm: 5.2160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3405 loss: 2.3405 2022/07/27 07:31:28 - mmengine - INFO - Epoch(train) [35][340/3757] lr: 9.1452e-03 eta: 2 days, 11:54:34 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 5.3264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7659 loss: 2.7659 2022/07/27 07:31:36 - mmengine - INFO - Epoch(train) [35][360/3757] lr: 9.1452e-03 eta: 2 days, 11:54:26 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 5.2085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3164 loss: 2.3164 2022/07/27 07:31:44 - mmengine - INFO - Epoch(train) [35][380/3757] lr: 9.1452e-03 eta: 2 days, 11:54:19 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 5.5450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7297 loss: 2.7297 2022/07/27 07:31:51 - mmengine - INFO - Epoch(train) [35][400/3757] lr: 9.1452e-03 eta: 2 days, 11:54:11 time: 0.3938 data_time: 0.0169 memory: 17007 grad_norm: 5.5913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8141 loss: 2.8141 2022/07/27 07:31:59 - mmengine - INFO - Epoch(train) [35][420/3757] lr: 9.1452e-03 eta: 2 days, 11:54:03 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 5.3995 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7740 loss: 2.7740 2022/07/27 07:32:07 - mmengine - INFO - Epoch(train) [35][440/3757] lr: 9.1452e-03 eta: 2 days, 11:53:55 time: 0.3942 data_time: 0.0168 memory: 17007 grad_norm: 5.6476 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6340 loss: 2.6340 2022/07/27 07:32:15 - mmengine - INFO - Epoch(train) [35][460/3757] lr: 9.1452e-03 eta: 2 days, 11:53:47 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 5.4828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5760 loss: 2.5760 2022/07/27 07:32:23 - mmengine - INFO - Epoch(train) [35][480/3757] lr: 9.1452e-03 eta: 2 days, 11:53:39 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 5.5352 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4859 loss: 2.4859 2022/07/27 07:32:31 - mmengine - INFO - Epoch(train) [35][500/3757] lr: 9.1452e-03 eta: 2 days, 11:53:32 time: 0.4033 data_time: 0.0146 memory: 17007 grad_norm: 5.4285 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8042 loss: 2.8042 2022/07/27 07:32:39 - mmengine - INFO - Epoch(train) [35][520/3757] lr: 9.1452e-03 eta: 2 days, 11:53:25 time: 0.4010 data_time: 0.0167 memory: 17007 grad_norm: 5.4730 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6143 loss: 2.6143 2022/07/27 07:32:47 - mmengine - INFO - Epoch(train) [35][540/3757] lr: 9.1452e-03 eta: 2 days, 11:53:18 time: 0.3987 data_time: 0.0163 memory: 17007 grad_norm: 5.5913 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7492 loss: 2.7492 2022/07/27 07:32:55 - mmengine - INFO - Epoch(train) [35][560/3757] lr: 9.1452e-03 eta: 2 days, 11:53:10 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.6307 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7295 loss: 2.7295 2022/07/27 07:33:03 - mmengine - INFO - Epoch(train) [35][580/3757] lr: 9.1452e-03 eta: 2 days, 11:53:02 time: 0.3968 data_time: 0.0162 memory: 17007 grad_norm: 5.7280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4881 loss: 2.4881 2022/07/27 07:33:11 - mmengine - INFO - Epoch(train) [35][600/3757] lr: 9.1452e-03 eta: 2 days, 11:52:55 time: 0.3985 data_time: 0.0156 memory: 17007 grad_norm: 5.4496 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7652 loss: 2.7652 2022/07/27 07:33:19 - mmengine - INFO - Epoch(train) [35][620/3757] lr: 9.1452e-03 eta: 2 days, 11:52:47 time: 0.3937 data_time: 0.0168 memory: 17007 grad_norm: 5.5014 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7743 loss: 2.7743 2022/07/27 07:33:27 - mmengine - INFO - Epoch(train) [35][640/3757] lr: 9.1452e-03 eta: 2 days, 11:52:40 time: 0.4063 data_time: 0.0169 memory: 17007 grad_norm: 5.4446 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7543 loss: 2.7543 2022/07/27 07:33:35 - mmengine - INFO - Epoch(train) [35][660/3757] lr: 9.1452e-03 eta: 2 days, 11:52:32 time: 0.3917 data_time: 0.0144 memory: 17007 grad_norm: 5.6720 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7063 loss: 2.7063 2022/07/27 07:33:43 - mmengine - INFO - Epoch(train) [35][680/3757] lr: 9.1452e-03 eta: 2 days, 11:52:25 time: 0.3977 data_time: 0.0171 memory: 17007 grad_norm: 5.3841 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3705 loss: 2.3705 2022/07/27 07:33:50 - mmengine - INFO - Epoch(train) [35][700/3757] lr: 9.1452e-03 eta: 2 days, 11:52:17 time: 0.3938 data_time: 0.0169 memory: 17007 grad_norm: 5.5149 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7407 loss: 2.7407 2022/07/27 07:33:58 - mmengine - INFO - Epoch(train) [35][720/3757] lr: 9.1452e-03 eta: 2 days, 11:52:09 time: 0.3933 data_time: 0.0170 memory: 17007 grad_norm: 5.4025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4809 loss: 2.4809 2022/07/27 07:34:06 - mmengine - INFO - Epoch(train) [35][740/3757] lr: 9.1452e-03 eta: 2 days, 11:52:01 time: 0.3902 data_time: 0.0149 memory: 17007 grad_norm: 5.3445 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7214 loss: 2.7214 2022/07/27 07:34:14 - mmengine - INFO - Epoch(train) [35][760/3757] lr: 9.1452e-03 eta: 2 days, 11:51:53 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 5.5995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7611 loss: 2.7611 2022/07/27 07:34:22 - mmengine - INFO - Epoch(train) [35][780/3757] lr: 9.1452e-03 eta: 2 days, 11:51:45 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 5.6101 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6201 loss: 2.6201 2022/07/27 07:34:30 - mmengine - INFO - Epoch(train) [35][800/3757] lr: 9.1452e-03 eta: 2 days, 11:51:38 time: 0.4025 data_time: 0.0168 memory: 17007 grad_norm: 5.3718 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3814 loss: 2.3814 2022/07/27 07:34:38 - mmengine - INFO - Epoch(train) [35][820/3757] lr: 9.1452e-03 eta: 2 days, 11:51:30 time: 0.3950 data_time: 0.0158 memory: 17007 grad_norm: 5.4776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6451 loss: 2.6451 2022/07/27 07:34:46 - mmengine - INFO - Epoch(train) [35][840/3757] lr: 9.1452e-03 eta: 2 days, 11:51:22 time: 0.3926 data_time: 0.0163 memory: 17007 grad_norm: 5.5018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8580 loss: 2.8580 2022/07/27 07:34:54 - mmengine - INFO - Epoch(train) [35][860/3757] lr: 9.1452e-03 eta: 2 days, 11:51:14 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 5.4312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6033 loss: 2.6033 2022/07/27 07:35:01 - mmengine - INFO - Epoch(train) [35][880/3757] lr: 9.1452e-03 eta: 2 days, 11:51:07 time: 0.3949 data_time: 0.0162 memory: 17007 grad_norm: 5.2759 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6540 loss: 2.6540 2022/07/27 07:35:09 - mmengine - INFO - Epoch(train) [35][900/3757] lr: 9.1452e-03 eta: 2 days, 11:50:59 time: 0.3949 data_time: 0.0162 memory: 17007 grad_norm: 5.5983 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7919 loss: 2.7919 2022/07/27 07:35:17 - mmengine - INFO - Epoch(train) [35][920/3757] lr: 9.1452e-03 eta: 2 days, 11:50:51 time: 0.3948 data_time: 0.0170 memory: 17007 grad_norm: 5.4597 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5429 loss: 2.5429 2022/07/27 07:35:25 - mmengine - INFO - Epoch(train) [35][940/3757] lr: 9.1452e-03 eta: 2 days, 11:50:43 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 5.5054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6481 loss: 2.6481 2022/07/27 07:35:33 - mmengine - INFO - Epoch(train) [35][960/3757] lr: 9.1452e-03 eta: 2 days, 11:50:35 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 5.4583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4402 loss: 2.4402 2022/07/27 07:35:41 - mmengine - INFO - Epoch(train) [35][980/3757] lr: 9.1452e-03 eta: 2 days, 11:50:28 time: 0.3995 data_time: 0.0171 memory: 17007 grad_norm: 5.3232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5831 loss: 2.5831 2022/07/27 07:35:49 - mmengine - INFO - Epoch(train) [35][1000/3757] lr: 9.1452e-03 eta: 2 days, 11:50:20 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 5.4101 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6019 loss: 2.6019 2022/07/27 07:35:57 - mmengine - INFO - Epoch(train) [35][1020/3757] lr: 9.1452e-03 eta: 2 days, 11:50:12 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 5.4901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5798 loss: 2.5798 2022/07/27 07:36:05 - mmengine - INFO - Epoch(train) [35][1040/3757] lr: 9.1452e-03 eta: 2 days, 11:50:04 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 5.8194 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8632 loss: 2.8632 2022/07/27 07:36:12 - mmengine - INFO - Epoch(train) [35][1060/3757] lr: 9.1452e-03 eta: 2 days, 11:49:57 time: 0.3941 data_time: 0.0161 memory: 17007 grad_norm: 5.3804 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3446 loss: 2.3446 2022/07/27 07:36:20 - mmengine - INFO - Epoch(train) [35][1080/3757] lr: 9.1452e-03 eta: 2 days, 11:49:49 time: 0.3938 data_time: 0.0169 memory: 17007 grad_norm: 5.5022 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5611 loss: 2.5611 2022/07/27 07:36:28 - mmengine - INFO - Epoch(train) [35][1100/3757] lr: 9.1452e-03 eta: 2 days, 11:49:41 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 5.5279 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6300 loss: 2.6300 2022/07/27 07:36:36 - mmengine - INFO - Epoch(train) [35][1120/3757] lr: 9.1452e-03 eta: 2 days, 11:49:33 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 5.3848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4618 loss: 2.4618 2022/07/27 07:36:44 - mmengine - INFO - Epoch(train) [35][1140/3757] lr: 9.1452e-03 eta: 2 days, 11:49:25 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 5.2027 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6182 loss: 2.6182 2022/07/27 07:36:52 - mmengine - INFO - Epoch(train) [35][1160/3757] lr: 9.1452e-03 eta: 2 days, 11:49:17 time: 0.3945 data_time: 0.0171 memory: 17007 grad_norm: 5.4079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5617 loss: 2.5617 2022/07/27 07:37:00 - mmengine - INFO - Epoch(train) [35][1180/3757] lr: 9.1452e-03 eta: 2 days, 11:49:10 time: 0.3942 data_time: 0.0159 memory: 17007 grad_norm: 5.4953 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9307 loss: 2.9307 2022/07/27 07:37:08 - mmengine - INFO - Epoch(train) [35][1200/3757] lr: 9.1452e-03 eta: 2 days, 11:49:02 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 5.3537 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.7081 loss: 2.7081 2022/07/27 07:37:16 - mmengine - INFO - Epoch(train) [35][1220/3757] lr: 9.1452e-03 eta: 2 days, 11:48:54 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 5.4328 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5200 loss: 2.5200 2022/07/27 07:37:23 - mmengine - INFO - Epoch(train) [35][1240/3757] lr: 9.1452e-03 eta: 2 days, 11:48:46 time: 0.3957 data_time: 0.0163 memory: 17007 grad_norm: 5.3297 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3327 loss: 2.3327 2022/07/27 07:37:31 - mmengine - INFO - Epoch(train) [35][1260/3757] lr: 9.1452e-03 eta: 2 days, 11:48:38 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 5.4670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5347 loss: 2.5347 2022/07/27 07:37:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:37:39 - mmengine - INFO - Epoch(train) [35][1280/3757] lr: 9.1452e-03 eta: 2 days, 11:48:31 time: 0.3963 data_time: 0.0184 memory: 17007 grad_norm: 5.5640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6216 loss: 2.6216 2022/07/27 07:37:47 - mmengine - INFO - Epoch(train) [35][1300/3757] lr: 9.1452e-03 eta: 2 days, 11:48:23 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 5.4278 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3365 loss: 2.3365 2022/07/27 07:37:55 - mmengine - INFO - Epoch(train) [35][1320/3757] lr: 9.1452e-03 eta: 2 days, 11:48:15 time: 0.3926 data_time: 0.0167 memory: 17007 grad_norm: 5.4185 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7429 loss: 2.7429 2022/07/27 07:38:03 - mmengine - INFO - Epoch(train) [35][1340/3757] lr: 9.1452e-03 eta: 2 days, 11:48:07 time: 0.3943 data_time: 0.0161 memory: 17007 grad_norm: 5.6123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8821 loss: 2.8821 2022/07/27 07:38:11 - mmengine - INFO - Epoch(train) [35][1360/3757] lr: 9.1452e-03 eta: 2 days, 11:47:59 time: 0.3948 data_time: 0.0173 memory: 17007 grad_norm: 5.4359 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6950 loss: 2.6950 2022/07/27 07:38:19 - mmengine - INFO - Epoch(train) [35][1380/3757] lr: 9.1452e-03 eta: 2 days, 11:47:51 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.3830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4120 loss: 2.4120 2022/07/27 07:38:26 - mmengine - INFO - Epoch(train) [35][1400/3757] lr: 9.1452e-03 eta: 2 days, 11:47:43 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 5.4622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3429 loss: 2.3429 2022/07/27 07:38:34 - mmengine - INFO - Epoch(train) [35][1420/3757] lr: 9.1452e-03 eta: 2 days, 11:47:36 time: 0.3943 data_time: 0.0156 memory: 17007 grad_norm: 5.5372 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7325 loss: 2.7325 2022/07/27 07:38:42 - mmengine - INFO - Epoch(train) [35][1440/3757] lr: 9.1452e-03 eta: 2 days, 11:47:28 time: 0.3979 data_time: 0.0164 memory: 17007 grad_norm: 5.4965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6517 loss: 2.6517 2022/07/27 07:38:50 - mmengine - INFO - Epoch(train) [35][1460/3757] lr: 9.1452e-03 eta: 2 days, 11:47:20 time: 0.3948 data_time: 0.0162 memory: 17007 grad_norm: 5.4875 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2945 loss: 2.2945 2022/07/27 07:38:58 - mmengine - INFO - Epoch(train) [35][1480/3757] lr: 9.1452e-03 eta: 2 days, 11:47:13 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 5.3800 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2095 loss: 2.2095 2022/07/27 07:39:06 - mmengine - INFO - Epoch(train) [35][1500/3757] lr: 9.1452e-03 eta: 2 days, 11:47:05 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.3454 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5664 loss: 2.5664 2022/07/27 07:39:14 - mmengine - INFO - Epoch(train) [35][1520/3757] lr: 9.1452e-03 eta: 2 days, 11:46:57 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 5.3805 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3831 loss: 2.3831 2022/07/27 07:39:22 - mmengine - INFO - Epoch(train) [35][1540/3757] lr: 9.1452e-03 eta: 2 days, 11:46:49 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 5.3243 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7503 loss: 2.7503 2022/07/27 07:39:30 - mmengine - INFO - Epoch(train) [35][1560/3757] lr: 9.1452e-03 eta: 2 days, 11:46:41 time: 0.3935 data_time: 0.0172 memory: 17007 grad_norm: 5.5387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7013 loss: 2.7013 2022/07/27 07:39:37 - mmengine - INFO - Epoch(train) [35][1580/3757] lr: 9.1452e-03 eta: 2 days, 11:46:33 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 5.5327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3865 loss: 2.3865 2022/07/27 07:39:45 - mmengine - INFO - Epoch(train) [35][1600/3757] lr: 9.1452e-03 eta: 2 days, 11:46:25 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.6150 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6796 loss: 2.6796 2022/07/27 07:39:53 - mmengine - INFO - Epoch(train) [35][1620/3757] lr: 9.1452e-03 eta: 2 days, 11:46:17 time: 0.3937 data_time: 0.0179 memory: 17007 grad_norm: 5.4745 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4969 loss: 2.4969 2022/07/27 07:40:01 - mmengine - INFO - Epoch(train) [35][1640/3757] lr: 9.1452e-03 eta: 2 days, 11:46:10 time: 0.3948 data_time: 0.0165 memory: 17007 grad_norm: 5.3171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7236 loss: 2.7236 2022/07/27 07:40:09 - mmengine - INFO - Epoch(train) [35][1660/3757] lr: 9.1452e-03 eta: 2 days, 11:46:02 time: 0.3961 data_time: 0.0170 memory: 17007 grad_norm: 5.4897 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7203 loss: 2.7203 2022/07/27 07:40:17 - mmengine - INFO - Epoch(train) [35][1680/3757] lr: 9.1452e-03 eta: 2 days, 11:45:54 time: 0.3935 data_time: 0.0167 memory: 17007 grad_norm: 5.6283 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6474 loss: 2.6474 2022/07/27 07:40:25 - mmengine - INFO - Epoch(train) [35][1700/3757] lr: 9.1452e-03 eta: 2 days, 11:45:46 time: 0.3919 data_time: 0.0147 memory: 17007 grad_norm: 5.4664 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7502 loss: 2.7502 2022/07/27 07:40:33 - mmengine - INFO - Epoch(train) [35][1720/3757] lr: 9.1452e-03 eta: 2 days, 11:45:38 time: 0.3920 data_time: 0.0162 memory: 17007 grad_norm: 5.4758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5576 loss: 2.5576 2022/07/27 07:40:41 - mmengine - INFO - Epoch(train) [35][1740/3757] lr: 9.1452e-03 eta: 2 days, 11:45:31 time: 0.3969 data_time: 0.0152 memory: 17007 grad_norm: 5.5825 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4807 loss: 2.4807 2022/07/27 07:40:48 - mmengine - INFO - Epoch(train) [35][1760/3757] lr: 9.1452e-03 eta: 2 days, 11:45:23 time: 0.3949 data_time: 0.0166 memory: 17007 grad_norm: 5.5812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7315 loss: 2.7315 2022/07/27 07:40:56 - mmengine - INFO - Epoch(train) [35][1780/3757] lr: 9.1452e-03 eta: 2 days, 11:45:15 time: 0.3912 data_time: 0.0145 memory: 17007 grad_norm: 5.4684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6833 loss: 2.6833 2022/07/27 07:41:04 - mmengine - INFO - Epoch(train) [35][1800/3757] lr: 9.1452e-03 eta: 2 days, 11:45:07 time: 0.3962 data_time: 0.0156 memory: 17007 grad_norm: 5.4587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7487 loss: 2.7487 2022/07/27 07:41:12 - mmengine - INFO - Epoch(train) [35][1820/3757] lr: 9.1452e-03 eta: 2 days, 11:44:59 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 5.3933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5234 loss: 2.5234 2022/07/27 07:41:20 - mmengine - INFO - Epoch(train) [35][1840/3757] lr: 9.1452e-03 eta: 2 days, 11:44:51 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 5.5107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6861 loss: 2.6861 2022/07/27 07:41:28 - mmengine - INFO - Epoch(train) [35][1860/3757] lr: 9.1452e-03 eta: 2 days, 11:44:43 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 5.6788 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4875 loss: 2.4875 2022/07/27 07:41:36 - mmengine - INFO - Epoch(train) [35][1880/3757] lr: 9.1452e-03 eta: 2 days, 11:44:36 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 5.2917 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7141 loss: 2.7141 2022/07/27 07:41:43 - mmengine - INFO - Epoch(train) [35][1900/3757] lr: 9.1452e-03 eta: 2 days, 11:44:27 time: 0.3917 data_time: 0.0150 memory: 17007 grad_norm: 5.5322 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6414 loss: 2.6414 2022/07/27 07:41:51 - mmengine - INFO - Epoch(train) [35][1920/3757] lr: 9.1452e-03 eta: 2 days, 11:44:20 time: 0.3950 data_time: 0.0168 memory: 17007 grad_norm: 5.3793 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6993 loss: 2.6993 2022/07/27 07:41:59 - mmengine - INFO - Epoch(train) [35][1940/3757] lr: 9.1452e-03 eta: 2 days, 11:44:12 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 5.2743 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6372 loss: 2.6372 2022/07/27 07:42:07 - mmengine - INFO - Epoch(train) [35][1960/3757] lr: 9.1452e-03 eta: 2 days, 11:44:04 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 5.5358 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7078 loss: 2.7078 2022/07/27 07:42:15 - mmengine - INFO - Epoch(train) [35][1980/3757] lr: 9.1452e-03 eta: 2 days, 11:43:56 time: 0.3918 data_time: 0.0140 memory: 17007 grad_norm: 5.5386 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7004 loss: 2.7004 2022/07/27 07:42:23 - mmengine - INFO - Epoch(train) [35][2000/3757] lr: 9.1452e-03 eta: 2 days, 11:43:48 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 5.4055 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5414 loss: 2.5414 2022/07/27 07:42:31 - mmengine - INFO - Epoch(train) [35][2020/3757] lr: 9.1452e-03 eta: 2 days, 11:43:41 time: 0.3969 data_time: 0.0153 memory: 17007 grad_norm: 5.4605 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8052 loss: 2.8052 2022/07/27 07:42:39 - mmengine - INFO - Epoch(train) [35][2040/3757] lr: 9.1452e-03 eta: 2 days, 11:43:33 time: 0.3942 data_time: 0.0165 memory: 17007 grad_norm: 5.4237 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8872 loss: 2.8872 2022/07/27 07:42:46 - mmengine - INFO - Epoch(train) [35][2060/3757] lr: 9.1452e-03 eta: 2 days, 11:43:25 time: 0.3903 data_time: 0.0142 memory: 17007 grad_norm: 5.5040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3144 loss: 2.3144 2022/07/27 07:42:55 - mmengine - INFO - Epoch(train) [35][2080/3757] lr: 9.1452e-03 eta: 2 days, 11:43:17 time: 0.4023 data_time: 0.0174 memory: 17007 grad_norm: 5.2179 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5479 loss: 2.5479 2022/07/27 07:43:02 - mmengine - INFO - Epoch(train) [35][2100/3757] lr: 9.1452e-03 eta: 2 days, 11:43:10 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 5.4952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5175 loss: 2.5175 2022/07/27 07:43:11 - mmengine - INFO - Epoch(train) [35][2120/3757] lr: 9.1452e-03 eta: 2 days, 11:43:03 time: 0.4098 data_time: 0.0165 memory: 17007 grad_norm: 5.5156 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3623 loss: 2.3623 2022/07/27 07:43:19 - mmengine - INFO - Epoch(train) [35][2140/3757] lr: 9.1452e-03 eta: 2 days, 11:42:56 time: 0.3959 data_time: 0.0156 memory: 17007 grad_norm: 5.5553 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5877 loss: 2.5877 2022/07/27 07:43:26 - mmengine - INFO - Epoch(train) [35][2160/3757] lr: 9.1452e-03 eta: 2 days, 11:42:48 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 5.3915 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6804 loss: 2.6804 2022/07/27 07:43:34 - mmengine - INFO - Epoch(train) [35][2180/3757] lr: 9.1452e-03 eta: 2 days, 11:42:40 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 5.3715 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9002 loss: 2.9002 2022/07/27 07:43:42 - mmengine - INFO - Epoch(train) [35][2200/3757] lr: 9.1452e-03 eta: 2 days, 11:42:32 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 5.5010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5173 loss: 2.5173 2022/07/27 07:43:50 - mmengine - INFO - Epoch(train) [35][2220/3757] lr: 9.1452e-03 eta: 2 days, 11:42:24 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 5.5640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7223 loss: 2.7223 2022/07/27 07:43:58 - mmengine - INFO - Epoch(train) [35][2240/3757] lr: 9.1452e-03 eta: 2 days, 11:42:16 time: 0.3945 data_time: 0.0166 memory: 17007 grad_norm: 5.5939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5202 loss: 2.5202 2022/07/27 07:44:06 - mmengine - INFO - Epoch(train) [35][2260/3757] lr: 9.1452e-03 eta: 2 days, 11:42:08 time: 0.3916 data_time: 0.0149 memory: 17007 grad_norm: 5.4544 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.8158 loss: 2.8158 2022/07/27 07:44:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:44:14 - mmengine - INFO - Epoch(train) [35][2280/3757] lr: 9.1452e-03 eta: 2 days, 11:42:00 time: 0.3936 data_time: 0.0170 memory: 17007 grad_norm: 5.4650 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8856 loss: 2.8856 2022/07/27 07:44:21 - mmengine - INFO - Epoch(train) [35][2300/3757] lr: 9.1452e-03 eta: 2 days, 11:41:52 time: 0.3927 data_time: 0.0156 memory: 17007 grad_norm: 5.2546 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6048 loss: 2.6048 2022/07/27 07:44:29 - mmengine - INFO - Epoch(train) [35][2320/3757] lr: 9.1452e-03 eta: 2 days, 11:41:44 time: 0.3952 data_time: 0.0180 memory: 17007 grad_norm: 5.6398 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6070 loss: 2.6070 2022/07/27 07:44:37 - mmengine - INFO - Epoch(train) [35][2340/3757] lr: 9.1452e-03 eta: 2 days, 11:41:36 time: 0.3910 data_time: 0.0149 memory: 17007 grad_norm: 5.3019 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5424 loss: 2.5424 2022/07/27 07:44:45 - mmengine - INFO - Epoch(train) [35][2360/3757] lr: 9.1452e-03 eta: 2 days, 11:41:29 time: 0.3950 data_time: 0.0173 memory: 17007 grad_norm: 5.4406 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7039 loss: 2.7039 2022/07/27 07:44:53 - mmengine - INFO - Epoch(train) [35][2380/3757] lr: 9.1452e-03 eta: 2 days, 11:41:21 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 5.2111 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4340 loss: 2.4340 2022/07/27 07:45:01 - mmengine - INFO - Epoch(train) [35][2400/3757] lr: 9.1452e-03 eta: 2 days, 11:41:13 time: 0.3960 data_time: 0.0167 memory: 17007 grad_norm: 5.5758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7261 loss: 2.7261 2022/07/27 07:45:09 - mmengine - INFO - Epoch(train) [35][2420/3757] lr: 9.1452e-03 eta: 2 days, 11:41:05 time: 0.3921 data_time: 0.0165 memory: 17007 grad_norm: 5.6498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7586 loss: 2.7586 2022/07/27 07:45:17 - mmengine - INFO - Epoch(train) [35][2440/3757] lr: 9.1452e-03 eta: 2 days, 11:40:58 time: 0.4051 data_time: 0.0162 memory: 17007 grad_norm: 5.4645 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6192 loss: 2.6192 2022/07/27 07:45:25 - mmengine - INFO - Epoch(train) [35][2460/3757] lr: 9.1452e-03 eta: 2 days, 11:40:50 time: 0.3902 data_time: 0.0140 memory: 17007 grad_norm: 5.3916 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6886 loss: 2.6886 2022/07/27 07:45:33 - mmengine - INFO - Epoch(train) [35][2480/3757] lr: 9.1452e-03 eta: 2 days, 11:40:42 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 5.4987 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5259 loss: 2.5259 2022/07/27 07:45:40 - mmengine - INFO - Epoch(train) [35][2500/3757] lr: 9.1452e-03 eta: 2 days, 11:40:35 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 5.3849 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9525 loss: 2.9525 2022/07/27 07:45:48 - mmengine - INFO - Epoch(train) [35][2520/3757] lr: 9.1452e-03 eta: 2 days, 11:40:27 time: 0.3951 data_time: 0.0164 memory: 17007 grad_norm: 5.3785 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3405 loss: 2.3405 2022/07/27 07:45:56 - mmengine - INFO - Epoch(train) [35][2540/3757] lr: 9.1452e-03 eta: 2 days, 11:40:19 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 5.5612 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5387 loss: 2.5387 2022/07/27 07:46:04 - mmengine - INFO - Epoch(train) [35][2560/3757] lr: 9.1452e-03 eta: 2 days, 11:40:11 time: 0.3952 data_time: 0.0167 memory: 17007 grad_norm: 5.6162 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.8059 loss: 2.8059 2022/07/27 07:46:12 - mmengine - INFO - Epoch(train) [35][2580/3757] lr: 9.1452e-03 eta: 2 days, 11:40:03 time: 0.3926 data_time: 0.0165 memory: 17007 grad_norm: 5.5560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7032 loss: 2.7032 2022/07/27 07:46:20 - mmengine - INFO - Epoch(train) [35][2600/3757] lr: 9.1452e-03 eta: 2 days, 11:39:57 time: 0.4081 data_time: 0.0174 memory: 17007 grad_norm: 5.6023 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5034 loss: 2.5034 2022/07/27 07:46:28 - mmengine - INFO - Epoch(train) [35][2620/3757] lr: 9.1452e-03 eta: 2 days, 11:39:49 time: 0.3946 data_time: 0.0172 memory: 17007 grad_norm: 5.4061 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5608 loss: 2.5608 2022/07/27 07:46:36 - mmengine - INFO - Epoch(train) [35][2640/3757] lr: 9.1452e-03 eta: 2 days, 11:39:41 time: 0.3930 data_time: 0.0170 memory: 17007 grad_norm: 5.3602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6559 loss: 2.6559 2022/07/27 07:46:44 - mmengine - INFO - Epoch(train) [35][2660/3757] lr: 9.1452e-03 eta: 2 days, 11:39:33 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 5.5140 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0715 loss: 3.0715 2022/07/27 07:46:52 - mmengine - INFO - Epoch(train) [35][2680/3757] lr: 9.1452e-03 eta: 2 days, 11:39:25 time: 0.3956 data_time: 0.0172 memory: 17007 grad_norm: 5.6483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4965 loss: 2.4965 2022/07/27 07:47:00 - mmengine - INFO - Epoch(train) [35][2700/3757] lr: 9.1452e-03 eta: 2 days, 11:39:18 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.5756 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8012 loss: 2.8012 2022/07/27 07:47:07 - mmengine - INFO - Epoch(train) [35][2720/3757] lr: 9.1452e-03 eta: 2 days, 11:39:10 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 5.4858 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7419 loss: 2.7419 2022/07/27 07:47:15 - mmengine - INFO - Epoch(train) [35][2740/3757] lr: 9.1452e-03 eta: 2 days, 11:39:02 time: 0.3946 data_time: 0.0171 memory: 17007 grad_norm: 5.4000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5539 loss: 2.5539 2022/07/27 07:47:23 - mmengine - INFO - Epoch(train) [35][2760/3757] lr: 9.1452e-03 eta: 2 days, 11:38:54 time: 0.3976 data_time: 0.0167 memory: 17007 grad_norm: 5.5529 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7227 loss: 2.7227 2022/07/27 07:47:31 - mmengine - INFO - Epoch(train) [35][2780/3757] lr: 9.1452e-03 eta: 2 days, 11:38:47 time: 0.3947 data_time: 0.0167 memory: 17007 grad_norm: 5.4592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6233 loss: 2.6233 2022/07/27 07:47:39 - mmengine - INFO - Epoch(train) [35][2800/3757] lr: 9.1452e-03 eta: 2 days, 11:38:39 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 5.4072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6867 loss: 2.6867 2022/07/27 07:47:47 - mmengine - INFO - Epoch(train) [35][2820/3757] lr: 9.1452e-03 eta: 2 days, 11:38:31 time: 0.3919 data_time: 0.0152 memory: 17007 grad_norm: 5.5550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3560 loss: 2.3560 2022/07/27 07:47:55 - mmengine - INFO - Epoch(train) [35][2840/3757] lr: 9.1452e-03 eta: 2 days, 11:38:23 time: 0.3935 data_time: 0.0169 memory: 17007 grad_norm: 5.7754 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.5031 loss: 2.5031 2022/07/27 07:48:03 - mmengine - INFO - Epoch(train) [35][2860/3757] lr: 9.1452e-03 eta: 2 days, 11:38:15 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 5.5404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3630 loss: 2.3630 2022/07/27 07:48:10 - mmengine - INFO - Epoch(train) [35][2880/3757] lr: 9.1452e-03 eta: 2 days, 11:38:07 time: 0.3936 data_time: 0.0172 memory: 17007 grad_norm: 5.6569 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7093 loss: 2.7093 2022/07/27 07:48:18 - mmengine - INFO - Epoch(train) [35][2900/3757] lr: 9.1452e-03 eta: 2 days, 11:37:59 time: 0.3971 data_time: 0.0161 memory: 17007 grad_norm: 5.3956 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8362 loss: 2.8362 2022/07/27 07:48:26 - mmengine - INFO - Epoch(train) [35][2920/3757] lr: 9.1452e-03 eta: 2 days, 11:37:52 time: 0.3937 data_time: 0.0171 memory: 17007 grad_norm: 5.5104 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7342 loss: 2.7342 2022/07/27 07:48:34 - mmengine - INFO - Epoch(train) [35][2940/3757] lr: 9.1452e-03 eta: 2 days, 11:37:44 time: 0.3914 data_time: 0.0148 memory: 17007 grad_norm: 5.6163 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8886 loss: 2.8886 2022/07/27 07:48:42 - mmengine - INFO - Epoch(train) [35][2960/3757] lr: 9.1452e-03 eta: 2 days, 11:37:36 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.4487 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4143 loss: 2.4143 2022/07/27 07:48:50 - mmengine - INFO - Epoch(train) [35][2980/3757] lr: 9.1452e-03 eta: 2 days, 11:37:28 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 5.5919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9550 loss: 2.9550 2022/07/27 07:48:58 - mmengine - INFO - Epoch(train) [35][3000/3757] lr: 9.1452e-03 eta: 2 days, 11:37:20 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 5.4177 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4219 loss: 2.4219 2022/07/27 07:49:06 - mmengine - INFO - Epoch(train) [35][3020/3757] lr: 9.1452e-03 eta: 2 days, 11:37:12 time: 0.3927 data_time: 0.0137 memory: 17007 grad_norm: 5.4715 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5408 loss: 2.5408 2022/07/27 07:49:13 - mmengine - INFO - Epoch(train) [35][3040/3757] lr: 9.1452e-03 eta: 2 days, 11:37:04 time: 0.3946 data_time: 0.0180 memory: 17007 grad_norm: 5.7101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4917 loss: 2.4917 2022/07/27 07:49:21 - mmengine - INFO - Epoch(train) [35][3060/3757] lr: 9.1452e-03 eta: 2 days, 11:36:57 time: 0.3967 data_time: 0.0147 memory: 17007 grad_norm: 5.5207 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5369 loss: 2.5369 2022/07/27 07:49:29 - mmengine - INFO - Epoch(train) [35][3080/3757] lr: 9.1452e-03 eta: 2 days, 11:36:49 time: 0.3927 data_time: 0.0165 memory: 17007 grad_norm: 5.5239 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8711 loss: 2.8711 2022/07/27 07:49:37 - mmengine - INFO - Epoch(train) [35][3100/3757] lr: 9.1452e-03 eta: 2 days, 11:36:41 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 5.5343 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4488 loss: 2.4488 2022/07/27 07:49:45 - mmengine - INFO - Epoch(train) [35][3120/3757] lr: 9.1452e-03 eta: 2 days, 11:36:33 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 5.6679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4840 loss: 2.4840 2022/07/27 07:49:53 - mmengine - INFO - Epoch(train) [35][3140/3757] lr: 9.1452e-03 eta: 2 days, 11:36:25 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.4439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5841 loss: 2.5841 2022/07/27 07:50:01 - mmengine - INFO - Epoch(train) [35][3160/3757] lr: 9.1452e-03 eta: 2 days, 11:36:19 time: 0.4159 data_time: 0.0154 memory: 17007 grad_norm: 5.5991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5785 loss: 2.5785 2022/07/27 07:50:09 - mmengine - INFO - Epoch(train) [35][3180/3757] lr: 9.1452e-03 eta: 2 days, 11:36:11 time: 0.3938 data_time: 0.0164 memory: 17007 grad_norm: 5.5193 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5737 loss: 2.5737 2022/07/27 07:50:17 - mmengine - INFO - Epoch(train) [35][3200/3757] lr: 9.1452e-03 eta: 2 days, 11:36:03 time: 0.3931 data_time: 0.0165 memory: 17007 grad_norm: 5.3615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5615 loss: 2.5615 2022/07/27 07:50:25 - mmengine - INFO - Epoch(train) [35][3220/3757] lr: 9.1452e-03 eta: 2 days, 11:35:55 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 5.3982 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5571 loss: 2.5571 2022/07/27 07:50:33 - mmengine - INFO - Epoch(train) [35][3240/3757] lr: 9.1452e-03 eta: 2 days, 11:35:47 time: 0.3941 data_time: 0.0161 memory: 17007 grad_norm: 5.4463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8835 loss: 2.8835 2022/07/27 07:50:41 - mmengine - INFO - Epoch(train) [35][3260/3757] lr: 9.1452e-03 eta: 2 days, 11:35:40 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 5.4328 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5335 loss: 2.5335 2022/07/27 07:50:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:50:48 - mmengine - INFO - Epoch(train) [35][3280/3757] lr: 9.1452e-03 eta: 2 days, 11:35:32 time: 0.3943 data_time: 0.0167 memory: 17007 grad_norm: 5.5134 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7389 loss: 2.7389 2022/07/27 07:50:56 - mmengine - INFO - Epoch(train) [35][3300/3757] lr: 9.1452e-03 eta: 2 days, 11:35:24 time: 0.3901 data_time: 0.0137 memory: 17007 grad_norm: 5.6133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5604 loss: 2.5604 2022/07/27 07:51:04 - mmengine - INFO - Epoch(train) [35][3320/3757] lr: 9.1452e-03 eta: 2 days, 11:35:16 time: 0.3958 data_time: 0.0161 memory: 17007 grad_norm: 5.4570 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7637 loss: 2.7637 2022/07/27 07:51:12 - mmengine - INFO - Epoch(train) [35][3340/3757] lr: 9.1452e-03 eta: 2 days, 11:35:08 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 5.4449 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5878 loss: 2.5878 2022/07/27 07:51:20 - mmengine - INFO - Epoch(train) [35][3360/3757] lr: 9.1452e-03 eta: 2 days, 11:35:01 time: 0.3940 data_time: 0.0165 memory: 17007 grad_norm: 5.4129 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6769 loss: 2.6769 2022/07/27 07:51:28 - mmengine - INFO - Epoch(train) [35][3380/3757] lr: 9.1452e-03 eta: 2 days, 11:34:53 time: 0.3919 data_time: 0.0158 memory: 17007 grad_norm: 5.5119 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7135 loss: 2.7135 2022/07/27 07:51:36 - mmengine - INFO - Epoch(train) [35][3400/3757] lr: 9.1452e-03 eta: 2 days, 11:34:45 time: 0.3926 data_time: 0.0166 memory: 17007 grad_norm: 5.3442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6522 loss: 2.6522 2022/07/27 07:51:44 - mmengine - INFO - Epoch(train) [35][3420/3757] lr: 9.1452e-03 eta: 2 days, 11:34:37 time: 0.3936 data_time: 0.0142 memory: 17007 grad_norm: 5.4249 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7509 loss: 2.7509 2022/07/27 07:51:51 - mmengine - INFO - Epoch(train) [35][3440/3757] lr: 9.1452e-03 eta: 2 days, 11:34:29 time: 0.3944 data_time: 0.0175 memory: 17007 grad_norm: 5.5066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7422 loss: 2.7422 2022/07/27 07:51:59 - mmengine - INFO - Epoch(train) [35][3460/3757] lr: 9.1452e-03 eta: 2 days, 11:34:21 time: 0.3986 data_time: 0.0154 memory: 17007 grad_norm: 5.4677 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6300 loss: 2.6300 2022/07/27 07:52:07 - mmengine - INFO - Epoch(train) [35][3480/3757] lr: 9.1452e-03 eta: 2 days, 11:34:14 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 5.4509 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8174 loss: 2.8174 2022/07/27 07:52:15 - mmengine - INFO - Epoch(train) [35][3500/3757] lr: 9.1452e-03 eta: 2 days, 11:34:06 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 5.6201 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8932 loss: 2.8932 2022/07/27 07:52:23 - mmengine - INFO - Epoch(train) [35][3520/3757] lr: 9.1452e-03 eta: 2 days, 11:33:58 time: 0.3947 data_time: 0.0170 memory: 17007 grad_norm: 5.4123 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5844 loss: 2.5844 2022/07/27 07:52:31 - mmengine - INFO - Epoch(train) [35][3540/3757] lr: 9.1452e-03 eta: 2 days, 11:33:50 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.4320 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5545 loss: 2.5545 2022/07/27 07:52:39 - mmengine - INFO - Epoch(train) [35][3560/3757] lr: 9.1452e-03 eta: 2 days, 11:33:42 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 5.5353 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6493 loss: 2.6493 2022/07/27 07:52:47 - mmengine - INFO - Epoch(train) [35][3580/3757] lr: 9.1452e-03 eta: 2 days, 11:33:34 time: 0.3909 data_time: 0.0148 memory: 17007 grad_norm: 5.4990 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6140 loss: 2.6140 2022/07/27 07:52:54 - mmengine - INFO - Epoch(train) [35][3600/3757] lr: 9.1452e-03 eta: 2 days, 11:33:26 time: 0.3923 data_time: 0.0163 memory: 17007 grad_norm: 5.6004 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6731 loss: 2.6731 2022/07/27 07:53:02 - mmengine - INFO - Epoch(train) [35][3620/3757] lr: 9.1452e-03 eta: 2 days, 11:33:18 time: 0.3959 data_time: 0.0160 memory: 17007 grad_norm: 5.4642 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8831 loss: 2.8831 2022/07/27 07:53:10 - mmengine - INFO - Epoch(train) [35][3640/3757] lr: 9.1452e-03 eta: 2 days, 11:33:11 time: 0.3945 data_time: 0.0163 memory: 17007 grad_norm: 5.4621 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4851 loss: 2.4851 2022/07/27 07:53:18 - mmengine - INFO - Epoch(train) [35][3660/3757] lr: 9.1452e-03 eta: 2 days, 11:33:03 time: 0.3927 data_time: 0.0150 memory: 17007 grad_norm: 5.4545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7900 loss: 2.7900 2022/07/27 07:53:26 - mmengine - INFO - Epoch(train) [35][3680/3757] lr: 9.1452e-03 eta: 2 days, 11:32:55 time: 0.3962 data_time: 0.0167 memory: 17007 grad_norm: 5.4793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8204 loss: 2.8204 2022/07/27 07:53:34 - mmengine - INFO - Epoch(train) [35][3700/3757] lr: 9.1452e-03 eta: 2 days, 11:32:47 time: 0.3969 data_time: 0.0180 memory: 17007 grad_norm: 5.3910 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4198 loss: 2.4198 2022/07/27 07:53:42 - mmengine - INFO - Epoch(train) [35][3720/3757] lr: 9.1452e-03 eta: 2 days, 11:32:40 time: 0.3994 data_time: 0.0163 memory: 17007 grad_norm: 5.4661 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7824 loss: 2.7824 2022/07/27 07:53:50 - mmengine - INFO - Epoch(train) [35][3740/3757] lr: 9.1452e-03 eta: 2 days, 11:32:32 time: 0.3933 data_time: 0.0168 memory: 17007 grad_norm: 5.3507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4065 loss: 2.4065 2022/07/27 07:53:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:53:56 - mmengine - INFO - Epoch(train) [35][3757/3757] lr: 9.1452e-03 eta: 2 days, 11:32:32 time: 0.3898 data_time: 0.0166 memory: 17007 grad_norm: 5.4206 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.3354 loss: 2.3354 2022/07/27 07:53:57 - mmengine - INFO - Saving checkpoint at 35 epochs 2022/07/27 07:54:08 - mmengine - INFO - Epoch(train) [36][20/3757] lr: 9.0958e-03 eta: 2 days, 11:31:54 time: 0.4472 data_time: 0.0683 memory: 17007 grad_norm: 5.3730 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5985 loss: 2.5985 2022/07/27 07:54:16 - mmengine - INFO - Epoch(train) [36][40/3757] lr: 9.0958e-03 eta: 2 days, 11:31:47 time: 0.3942 data_time: 0.0175 memory: 17007 grad_norm: 5.4078 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4229 loss: 2.4229 2022/07/27 07:54:24 - mmengine - INFO - Epoch(train) [36][60/3757] lr: 9.0958e-03 eta: 2 days, 11:31:38 time: 0.3906 data_time: 0.0131 memory: 17007 grad_norm: 5.4986 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6600 loss: 2.6600 2022/07/27 07:54:32 - mmengine - INFO - Epoch(train) [36][80/3757] lr: 9.0958e-03 eta: 2 days, 11:31:31 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 5.3937 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8788 loss: 2.8788 2022/07/27 07:54:40 - mmengine - INFO - Epoch(train) [36][100/3757] lr: 9.0958e-03 eta: 2 days, 11:31:23 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 5.5759 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5064 loss: 2.5064 2022/07/27 07:54:48 - mmengine - INFO - Epoch(train) [36][120/3757] lr: 9.0958e-03 eta: 2 days, 11:31:15 time: 0.3935 data_time: 0.0165 memory: 17007 grad_norm: 5.4733 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3379 loss: 2.3379 2022/07/27 07:54:55 - mmengine - INFO - Epoch(train) [36][140/3757] lr: 9.0958e-03 eta: 2 days, 11:31:07 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 5.3102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4555 loss: 2.4555 2022/07/27 07:55:03 - mmengine - INFO - Epoch(train) [36][160/3757] lr: 9.0958e-03 eta: 2 days, 11:30:59 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 5.4548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5649 loss: 2.5649 2022/07/27 07:55:11 - mmengine - INFO - Epoch(train) [36][180/3757] lr: 9.0958e-03 eta: 2 days, 11:30:51 time: 0.3918 data_time: 0.0162 memory: 17007 grad_norm: 5.4471 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3276 loss: 2.3276 2022/07/27 07:55:19 - mmengine - INFO - Epoch(train) [36][200/3757] lr: 9.0958e-03 eta: 2 days, 11:30:43 time: 0.3936 data_time: 0.0164 memory: 17007 grad_norm: 5.2985 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5977 loss: 2.5977 2022/07/27 07:55:27 - mmengine - INFO - Epoch(train) [36][220/3757] lr: 9.0958e-03 eta: 2 days, 11:30:35 time: 0.3917 data_time: 0.0147 memory: 17007 grad_norm: 5.6683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5836 loss: 2.5836 2022/07/27 07:55:35 - mmengine - INFO - Epoch(train) [36][240/3757] lr: 9.0958e-03 eta: 2 days, 11:30:27 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 5.5001 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6282 loss: 2.6282 2022/07/27 07:55:43 - mmengine - INFO - Epoch(train) [36][260/3757] lr: 9.0958e-03 eta: 2 days, 11:30:19 time: 0.3928 data_time: 0.0139 memory: 17007 grad_norm: 5.6636 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4313 loss: 2.4313 2022/07/27 07:55:51 - mmengine - INFO - Epoch(train) [36][280/3757] lr: 9.0958e-03 eta: 2 days, 11:30:12 time: 0.3988 data_time: 0.0169 memory: 17007 grad_norm: 5.5643 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3493 loss: 2.3493 2022/07/27 07:55:58 - mmengine - INFO - Epoch(train) [36][300/3757] lr: 9.0958e-03 eta: 2 days, 11:30:04 time: 0.3920 data_time: 0.0138 memory: 17007 grad_norm: 5.5161 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5307 loss: 2.5307 2022/07/27 07:56:06 - mmengine - INFO - Epoch(train) [36][320/3757] lr: 9.0958e-03 eta: 2 days, 11:29:56 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 5.4852 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7905 loss: 2.7905 2022/07/27 07:56:14 - mmengine - INFO - Epoch(train) [36][340/3757] lr: 9.0958e-03 eta: 2 days, 11:29:48 time: 0.3927 data_time: 0.0141 memory: 17007 grad_norm: 5.7074 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9284 loss: 2.9284 2022/07/27 07:56:22 - mmengine - INFO - Epoch(train) [36][360/3757] lr: 9.0958e-03 eta: 2 days, 11:29:40 time: 0.3936 data_time: 0.0164 memory: 17007 grad_norm: 5.6843 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4542 loss: 2.4542 2022/07/27 07:56:30 - mmengine - INFO - Epoch(train) [36][380/3757] lr: 9.0958e-03 eta: 2 days, 11:29:32 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 5.6310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9434 loss: 2.9434 2022/07/27 07:56:38 - mmengine - INFO - Epoch(train) [36][400/3757] lr: 9.0958e-03 eta: 2 days, 11:29:25 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 5.6209 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4566 loss: 2.4566 2022/07/27 07:56:46 - mmengine - INFO - Epoch(train) [36][420/3757] lr: 9.0958e-03 eta: 2 days, 11:29:17 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 7.1682 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8503 loss: 2.8503 2022/07/27 07:56:54 - mmengine - INFO - Epoch(train) [36][440/3757] lr: 9.0958e-03 eta: 2 days, 11:29:09 time: 0.3960 data_time: 0.0169 memory: 17007 grad_norm: 5.6664 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7653 loss: 2.7653 2022/07/27 07:57:01 - mmengine - INFO - Epoch(train) [36][460/3757] lr: 9.0958e-03 eta: 2 days, 11:29:01 time: 0.3949 data_time: 0.0157 memory: 17007 grad_norm: 5.6800 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4331 loss: 2.4331 2022/07/27 07:57:09 - mmengine - INFO - Epoch(train) [36][480/3757] lr: 9.0958e-03 eta: 2 days, 11:28:53 time: 0.3947 data_time: 0.0171 memory: 17007 grad_norm: 5.5761 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7571 loss: 2.7571 2022/07/27 07:57:17 - mmengine - INFO - Epoch(train) [36][500/3757] lr: 9.0958e-03 eta: 2 days, 11:28:45 time: 0.3916 data_time: 0.0146 memory: 17007 grad_norm: 5.6446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6989 loss: 2.6989 2022/07/27 07:57:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 07:57:25 - mmengine - INFO - Epoch(train) [36][520/3757] lr: 9.0958e-03 eta: 2 days, 11:28:37 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 5.4963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6748 loss: 2.6748 2022/07/27 07:57:33 - mmengine - INFO - Epoch(train) [36][540/3757] lr: 9.0958e-03 eta: 2 days, 11:28:30 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 5.6180 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4307 loss: 2.4307 2022/07/27 07:57:41 - mmengine - INFO - Epoch(train) [36][560/3757] lr: 9.0958e-03 eta: 2 days, 11:28:22 time: 0.3942 data_time: 0.0164 memory: 17007 grad_norm: 5.6482 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6851 loss: 2.6851 2022/07/27 07:57:49 - mmengine - INFO - Epoch(train) [36][580/3757] lr: 9.0958e-03 eta: 2 days, 11:28:14 time: 0.3916 data_time: 0.0137 memory: 17007 grad_norm: 5.6511 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8065 loss: 2.8065 2022/07/27 07:57:56 - mmengine - INFO - Epoch(train) [36][600/3757] lr: 9.0958e-03 eta: 2 days, 11:28:06 time: 0.3933 data_time: 0.0170 memory: 17007 grad_norm: 5.5301 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6076 loss: 2.6076 2022/07/27 07:58:04 - mmengine - INFO - Epoch(train) [36][620/3757] lr: 9.0958e-03 eta: 2 days, 11:27:58 time: 0.3922 data_time: 0.0144 memory: 17007 grad_norm: 5.5718 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3644 loss: 2.3644 2022/07/27 07:58:12 - mmengine - INFO - Epoch(train) [36][640/3757] lr: 9.0958e-03 eta: 2 days, 11:27:50 time: 0.3930 data_time: 0.0168 memory: 17007 grad_norm: 5.6535 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5774 loss: 2.5774 2022/07/27 07:58:20 - mmengine - INFO - Epoch(train) [36][660/3757] lr: 9.0958e-03 eta: 2 days, 11:27:42 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 5.5429 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5192 loss: 2.5192 2022/07/27 07:58:28 - mmengine - INFO - Epoch(train) [36][680/3757] lr: 9.0958e-03 eta: 2 days, 11:27:34 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 5.5379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4875 loss: 2.4875 2022/07/27 07:58:36 - mmengine - INFO - Epoch(train) [36][700/3757] lr: 9.0958e-03 eta: 2 days, 11:27:26 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 5.6162 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8136 loss: 2.8136 2022/07/27 07:58:44 - mmengine - INFO - Epoch(train) [36][720/3757] lr: 9.0958e-03 eta: 2 days, 11:27:19 time: 0.4011 data_time: 0.0163 memory: 17007 grad_norm: 5.5072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6401 loss: 2.6401 2022/07/27 07:58:52 - mmengine - INFO - Epoch(train) [36][740/3757] lr: 9.0958e-03 eta: 2 days, 11:27:11 time: 0.3934 data_time: 0.0169 memory: 17007 grad_norm: 5.4648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7417 loss: 2.7417 2022/07/27 07:59:00 - mmengine - INFO - Epoch(train) [36][760/3757] lr: 9.0958e-03 eta: 2 days, 11:27:04 time: 0.4062 data_time: 0.0157 memory: 17007 grad_norm: 5.5702 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5623 loss: 2.5623 2022/07/27 07:59:08 - mmengine - INFO - Epoch(train) [36][780/3757] lr: 9.0958e-03 eta: 2 days, 11:26:56 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 5.6312 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6977 loss: 2.6977 2022/07/27 07:59:16 - mmengine - INFO - Epoch(train) [36][800/3757] lr: 9.0958e-03 eta: 2 days, 11:26:49 time: 0.3940 data_time: 0.0161 memory: 17007 grad_norm: 5.5080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2344 loss: 2.2344 2022/07/27 07:59:23 - mmengine - INFO - Epoch(train) [36][820/3757] lr: 9.0958e-03 eta: 2 days, 11:26:40 time: 0.3913 data_time: 0.0146 memory: 17007 grad_norm: 5.5193 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5930 loss: 2.5930 2022/07/27 07:59:31 - mmengine - INFO - Epoch(train) [36][840/3757] lr: 9.0958e-03 eta: 2 days, 11:26:33 time: 0.3959 data_time: 0.0166 memory: 17007 grad_norm: 5.4461 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6832 loss: 2.6832 2022/07/27 07:59:39 - mmengine - INFO - Epoch(train) [36][860/3757] lr: 9.0958e-03 eta: 2 days, 11:26:25 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 5.5557 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6637 loss: 2.6637 2022/07/27 07:59:47 - mmengine - INFO - Epoch(train) [36][880/3757] lr: 9.0958e-03 eta: 2 days, 11:26:17 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 5.4552 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6176 loss: 2.6176 2022/07/27 07:59:55 - mmengine - INFO - Epoch(train) [36][900/3757] lr: 9.0958e-03 eta: 2 days, 11:26:09 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.3686 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2642 loss: 2.2642 2022/07/27 08:00:03 - mmengine - INFO - Epoch(train) [36][920/3757] lr: 9.0958e-03 eta: 2 days, 11:26:01 time: 0.3970 data_time: 0.0167 memory: 17007 grad_norm: 5.3605 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.3477 loss: 2.3477 2022/07/27 08:00:11 - mmengine - INFO - Epoch(train) [36][940/3757] lr: 9.0958e-03 eta: 2 days, 11:25:54 time: 0.3966 data_time: 0.0165 memory: 17007 grad_norm: 5.5316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7639 loss: 2.7639 2022/07/27 08:00:19 - mmengine - INFO - Epoch(train) [36][960/3757] lr: 9.0958e-03 eta: 2 days, 11:25:46 time: 0.3938 data_time: 0.0168 memory: 17007 grad_norm: 5.6533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4427 loss: 2.4427 2022/07/27 08:00:26 - mmengine - INFO - Epoch(train) [36][980/3757] lr: 9.0958e-03 eta: 2 days, 11:25:38 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 5.6207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8266 loss: 2.8266 2022/07/27 08:00:34 - mmengine - INFO - Epoch(train) [36][1000/3757] lr: 9.0958e-03 eta: 2 days, 11:25:31 time: 0.3987 data_time: 0.0171 memory: 17007 grad_norm: 5.4753 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1414 loss: 2.1414 2022/07/27 08:00:42 - mmengine - INFO - Epoch(train) [36][1020/3757] lr: 9.0958e-03 eta: 2 days, 11:25:23 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 5.5186 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8641 loss: 2.8641 2022/07/27 08:00:51 - mmengine - INFO - Epoch(train) [36][1040/3757] lr: 9.0958e-03 eta: 2 days, 11:25:16 time: 0.4093 data_time: 0.0169 memory: 17007 grad_norm: 5.5984 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4626 loss: 2.4626 2022/07/27 08:00:58 - mmengine - INFO - Epoch(train) [36][1060/3757] lr: 9.0958e-03 eta: 2 days, 11:25:08 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 5.5728 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7331 loss: 2.7331 2022/07/27 08:01:06 - mmengine - INFO - Epoch(train) [36][1080/3757] lr: 9.0958e-03 eta: 2 days, 11:25:01 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 5.3920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4994 loss: 2.4994 2022/07/27 08:01:15 - mmengine - INFO - Epoch(train) [36][1100/3757] lr: 9.0958e-03 eta: 2 days, 11:24:54 time: 0.4102 data_time: 0.0154 memory: 17007 grad_norm: 5.6891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7798 loss: 2.7798 2022/07/27 08:01:22 - mmengine - INFO - Epoch(train) [36][1120/3757] lr: 9.0958e-03 eta: 2 days, 11:24:46 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 5.4666 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7234 loss: 2.7234 2022/07/27 08:01:31 - mmengine - INFO - Epoch(train) [36][1140/3757] lr: 9.0958e-03 eta: 2 days, 11:24:40 time: 0.4097 data_time: 0.0156 memory: 17007 grad_norm: 5.5552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7625 loss: 2.7625 2022/07/27 08:01:38 - mmengine - INFO - Epoch(train) [36][1160/3757] lr: 9.0958e-03 eta: 2 days, 11:24:32 time: 0.3924 data_time: 0.0161 memory: 17007 grad_norm: 5.3328 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5393 loss: 2.5393 2022/07/27 08:01:46 - mmengine - INFO - Epoch(train) [36][1180/3757] lr: 9.0958e-03 eta: 2 days, 11:24:24 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 5.2889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4389 loss: 2.4389 2022/07/27 08:01:54 - mmengine - INFO - Epoch(train) [36][1200/3757] lr: 9.0958e-03 eta: 2 days, 11:24:16 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 5.6718 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7561 loss: 2.7561 2022/07/27 08:02:02 - mmengine - INFO - Epoch(train) [36][1220/3757] lr: 9.0958e-03 eta: 2 days, 11:24:09 time: 0.3966 data_time: 0.0164 memory: 17007 grad_norm: 5.5333 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5585 loss: 2.5585 2022/07/27 08:02:10 - mmengine - INFO - Epoch(train) [36][1240/3757] lr: 9.0958e-03 eta: 2 days, 11:24:01 time: 0.3943 data_time: 0.0167 memory: 17007 grad_norm: 5.6245 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4616 loss: 2.4616 2022/07/27 08:02:18 - mmengine - INFO - Epoch(train) [36][1260/3757] lr: 9.0958e-03 eta: 2 days, 11:23:53 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 5.4267 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3624 loss: 2.3624 2022/07/27 08:02:26 - mmengine - INFO - Epoch(train) [36][1280/3757] lr: 9.0958e-03 eta: 2 days, 11:23:45 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 5.7504 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0340 loss: 3.0340 2022/07/27 08:02:34 - mmengine - INFO - Epoch(train) [36][1300/3757] lr: 9.0958e-03 eta: 2 days, 11:23:37 time: 0.3929 data_time: 0.0165 memory: 17007 grad_norm: 5.4138 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5539 loss: 2.5539 2022/07/27 08:02:41 - mmengine - INFO - Epoch(train) [36][1320/3757] lr: 9.0958e-03 eta: 2 days, 11:23:29 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 5.4242 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5818 loss: 2.5818 2022/07/27 08:02:49 - mmengine - INFO - Epoch(train) [36][1340/3757] lr: 9.0958e-03 eta: 2 days, 11:23:21 time: 0.3919 data_time: 0.0138 memory: 17007 grad_norm: 5.4727 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7085 loss: 2.7085 2022/07/27 08:02:57 - mmengine - INFO - Epoch(train) [36][1360/3757] lr: 9.0958e-03 eta: 2 days, 11:23:13 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 5.5844 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6354 loss: 2.6354 2022/07/27 08:03:05 - mmengine - INFO - Epoch(train) [36][1380/3757] lr: 9.0958e-03 eta: 2 days, 11:23:05 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 5.3921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3774 loss: 2.3774 2022/07/27 08:03:13 - mmengine - INFO - Epoch(train) [36][1400/3757] lr: 9.0958e-03 eta: 2 days, 11:22:58 time: 0.3962 data_time: 0.0179 memory: 17007 grad_norm: 5.5838 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7537 loss: 2.7537 2022/07/27 08:03:21 - mmengine - INFO - Epoch(train) [36][1420/3757] lr: 9.0958e-03 eta: 2 days, 11:22:50 time: 0.3987 data_time: 0.0138 memory: 17007 grad_norm: 5.5445 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6710 loss: 2.6710 2022/07/27 08:03:29 - mmengine - INFO - Epoch(train) [36][1440/3757] lr: 9.0958e-03 eta: 2 days, 11:22:42 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 5.4277 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0623 loss: 3.0623 2022/07/27 08:03:37 - mmengine - INFO - Epoch(train) [36][1460/3757] lr: 9.0958e-03 eta: 2 days, 11:22:34 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 5.6893 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6448 loss: 2.6448 2022/07/27 08:03:45 - mmengine - INFO - Epoch(train) [36][1480/3757] lr: 9.0958e-03 eta: 2 days, 11:22:26 time: 0.3948 data_time: 0.0171 memory: 17007 grad_norm: 5.3610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7546 loss: 2.7546 2022/07/27 08:03:52 - mmengine - INFO - Epoch(train) [36][1500/3757] lr: 9.0958e-03 eta: 2 days, 11:22:19 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 5.6246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7736 loss: 2.7736 2022/07/27 08:03:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:04:00 - mmengine - INFO - Epoch(train) [36][1520/3757] lr: 9.0958e-03 eta: 2 days, 11:22:11 time: 0.3950 data_time: 0.0167 memory: 17007 grad_norm: 5.5443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4918 loss: 2.4918 2022/07/27 08:04:08 - mmengine - INFO - Epoch(train) [36][1540/3757] lr: 9.0958e-03 eta: 2 days, 11:22:03 time: 0.3909 data_time: 0.0138 memory: 17007 grad_norm: 5.5796 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5135 loss: 2.5135 2022/07/27 08:04:16 - mmengine - INFO - Epoch(train) [36][1560/3757] lr: 9.0958e-03 eta: 2 days, 11:21:55 time: 0.3949 data_time: 0.0170 memory: 17007 grad_norm: 5.7523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6510 loss: 2.6510 2022/07/27 08:04:24 - mmengine - INFO - Epoch(train) [36][1580/3757] lr: 9.0958e-03 eta: 2 days, 11:21:49 time: 0.4128 data_time: 0.0158 memory: 17007 grad_norm: 5.6746 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7839 loss: 2.7839 2022/07/27 08:04:32 - mmengine - INFO - Epoch(train) [36][1600/3757] lr: 9.0958e-03 eta: 2 days, 11:21:41 time: 0.3934 data_time: 0.0174 memory: 17007 grad_norm: 5.5095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5242 loss: 2.5242 2022/07/27 08:04:40 - mmengine - INFO - Epoch(train) [36][1620/3757] lr: 9.0958e-03 eta: 2 days, 11:21:33 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 5.4716 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6562 loss: 2.6562 2022/07/27 08:04:48 - mmengine - INFO - Epoch(train) [36][1640/3757] lr: 9.0958e-03 eta: 2 days, 11:21:25 time: 0.3937 data_time: 0.0166 memory: 17007 grad_norm: 5.5182 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6674 loss: 2.6674 2022/07/27 08:04:56 - mmengine - INFO - Epoch(train) [36][1660/3757] lr: 9.0958e-03 eta: 2 days, 11:21:18 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 5.4346 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4984 loss: 2.4984 2022/07/27 08:05:04 - mmengine - INFO - Epoch(train) [36][1680/3757] lr: 9.0958e-03 eta: 2 days, 11:21:10 time: 0.3994 data_time: 0.0168 memory: 17007 grad_norm: 5.5245 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8202 loss: 2.8202 2022/07/27 08:05:12 - mmengine - INFO - Epoch(train) [36][1700/3757] lr: 9.0958e-03 eta: 2 days, 11:21:03 time: 0.4003 data_time: 0.0164 memory: 17007 grad_norm: 5.4708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6266 loss: 2.6266 2022/07/27 08:05:20 - mmengine - INFO - Epoch(train) [36][1720/3757] lr: 9.0958e-03 eta: 2 days, 11:20:55 time: 0.3943 data_time: 0.0164 memory: 17007 grad_norm: 5.4324 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5595 loss: 2.5595 2022/07/27 08:05:28 - mmengine - INFO - Epoch(train) [36][1740/3757] lr: 9.0958e-03 eta: 2 days, 11:20:47 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 5.4473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7698 loss: 2.7698 2022/07/27 08:05:36 - mmengine - INFO - Epoch(train) [36][1760/3757] lr: 9.0958e-03 eta: 2 days, 11:20:39 time: 0.3960 data_time: 0.0168 memory: 17007 grad_norm: 5.3975 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4071 loss: 2.4071 2022/07/27 08:05:43 - mmengine - INFO - Epoch(train) [36][1780/3757] lr: 9.0958e-03 eta: 2 days, 11:20:32 time: 0.3930 data_time: 0.0144 memory: 17007 grad_norm: 5.5500 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9057 loss: 2.9057 2022/07/27 08:05:51 - mmengine - INFO - Epoch(train) [36][1800/3757] lr: 9.0958e-03 eta: 2 days, 11:20:24 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 5.6765 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9033 loss: 2.9033 2022/07/27 08:05:59 - mmengine - INFO - Epoch(train) [36][1820/3757] lr: 9.0958e-03 eta: 2 days, 11:20:16 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 5.5591 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8050 loss: 2.8050 2022/07/27 08:06:07 - mmengine - INFO - Epoch(train) [36][1840/3757] lr: 9.0958e-03 eta: 2 days, 11:20:08 time: 0.3997 data_time: 0.0164 memory: 17007 grad_norm: 5.5891 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9452 loss: 2.9452 2022/07/27 08:06:15 - mmengine - INFO - Epoch(train) [36][1860/3757] lr: 9.0958e-03 eta: 2 days, 11:20:00 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 5.7556 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4789 loss: 2.4789 2022/07/27 08:06:23 - mmengine - INFO - Epoch(train) [36][1880/3757] lr: 9.0958e-03 eta: 2 days, 11:19:53 time: 0.3944 data_time: 0.0171 memory: 17007 grad_norm: 5.5121 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5503 loss: 2.5503 2022/07/27 08:06:31 - mmengine - INFO - Epoch(train) [36][1900/3757] lr: 9.0958e-03 eta: 2 days, 11:19:45 time: 0.3965 data_time: 0.0169 memory: 17007 grad_norm: 5.5318 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1762 loss: 2.1762 2022/07/27 08:06:39 - mmengine - INFO - Epoch(train) [36][1920/3757] lr: 9.0958e-03 eta: 2 days, 11:19:37 time: 0.3973 data_time: 0.0168 memory: 17007 grad_norm: 5.5404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3703 loss: 2.3703 2022/07/27 08:06:47 - mmengine - INFO - Epoch(train) [36][1940/3757] lr: 9.0958e-03 eta: 2 days, 11:19:29 time: 0.3922 data_time: 0.0140 memory: 17007 grad_norm: 5.4510 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6859 loss: 2.6859 2022/07/27 08:06:54 - mmengine - INFO - Epoch(train) [36][1960/3757] lr: 9.0958e-03 eta: 2 days, 11:19:22 time: 0.3950 data_time: 0.0171 memory: 17007 grad_norm: 5.4795 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7113 loss: 2.7113 2022/07/27 08:07:02 - mmengine - INFO - Epoch(train) [36][1980/3757] lr: 9.0958e-03 eta: 2 days, 11:19:14 time: 0.3950 data_time: 0.0161 memory: 17007 grad_norm: 5.4371 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4724 loss: 2.4724 2022/07/27 08:07:10 - mmengine - INFO - Epoch(train) [36][2000/3757] lr: 9.0958e-03 eta: 2 days, 11:19:06 time: 0.3954 data_time: 0.0163 memory: 17007 grad_norm: 5.7296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5811 loss: 2.5811 2022/07/27 08:07:18 - mmengine - INFO - Epoch(train) [36][2020/3757] lr: 9.0958e-03 eta: 2 days, 11:18:58 time: 0.3916 data_time: 0.0132 memory: 17007 grad_norm: 5.6989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4804 loss: 2.4804 2022/07/27 08:07:26 - mmengine - INFO - Epoch(train) [36][2040/3757] lr: 9.0958e-03 eta: 2 days, 11:18:50 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 5.5853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6632 loss: 2.6632 2022/07/27 08:07:34 - mmengine - INFO - Epoch(train) [36][2060/3757] lr: 9.0958e-03 eta: 2 days, 11:18:43 time: 0.3944 data_time: 0.0133 memory: 17007 grad_norm: 5.5798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6512 loss: 2.6512 2022/07/27 08:07:42 - mmengine - INFO - Epoch(train) [36][2080/3757] lr: 9.0958e-03 eta: 2 days, 11:18:35 time: 0.3932 data_time: 0.0175 memory: 17007 grad_norm: 5.6095 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7497 loss: 2.7497 2022/07/27 08:07:50 - mmengine - INFO - Epoch(train) [36][2100/3757] lr: 9.0958e-03 eta: 2 days, 11:18:27 time: 0.3916 data_time: 0.0136 memory: 17007 grad_norm: 5.7128 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9038 loss: 2.9038 2022/07/27 08:07:58 - mmengine - INFO - Epoch(train) [36][2120/3757] lr: 9.0958e-03 eta: 2 days, 11:18:19 time: 0.3949 data_time: 0.0175 memory: 17007 grad_norm: 5.4949 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8843 loss: 2.8843 2022/07/27 08:08:05 - mmengine - INFO - Epoch(train) [36][2140/3757] lr: 9.0958e-03 eta: 2 days, 11:18:11 time: 0.3936 data_time: 0.0130 memory: 17007 grad_norm: 5.3825 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4630 loss: 2.4630 2022/07/27 08:08:13 - mmengine - INFO - Epoch(train) [36][2160/3757] lr: 9.0958e-03 eta: 2 days, 11:18:03 time: 0.3962 data_time: 0.0174 memory: 17007 grad_norm: 5.3943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2137 loss: 2.2137 2022/07/27 08:08:21 - mmengine - INFO - Epoch(train) [36][2180/3757] lr: 9.0958e-03 eta: 2 days, 11:17:56 time: 0.4048 data_time: 0.0173 memory: 17007 grad_norm: 5.4600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4894 loss: 2.4894 2022/07/27 08:08:29 - mmengine - INFO - Epoch(train) [36][2200/3757] lr: 9.0958e-03 eta: 2 days, 11:17:49 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 5.3457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8129 loss: 2.8129 2022/07/27 08:08:37 - mmengine - INFO - Epoch(train) [36][2220/3757] lr: 9.0958e-03 eta: 2 days, 11:17:41 time: 0.3933 data_time: 0.0167 memory: 17007 grad_norm: 5.4599 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7137 loss: 2.7137 2022/07/27 08:08:45 - mmengine - INFO - Epoch(train) [36][2240/3757] lr: 9.0958e-03 eta: 2 days, 11:17:33 time: 0.3965 data_time: 0.0170 memory: 17007 grad_norm: 5.4960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7326 loss: 2.7326 2022/07/27 08:08:53 - mmengine - INFO - Epoch(train) [36][2260/3757] lr: 9.0958e-03 eta: 2 days, 11:17:25 time: 0.3965 data_time: 0.0155 memory: 17007 grad_norm: 5.5180 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6997 loss: 2.6997 2022/07/27 08:09:01 - mmengine - INFO - Epoch(train) [36][2280/3757] lr: 9.0958e-03 eta: 2 days, 11:17:18 time: 0.3976 data_time: 0.0167 memory: 17007 grad_norm: 5.6022 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6124 loss: 2.6124 2022/07/27 08:09:09 - mmengine - INFO - Epoch(train) [36][2300/3757] lr: 9.0958e-03 eta: 2 days, 11:17:10 time: 0.3901 data_time: 0.0147 memory: 17007 grad_norm: 5.4396 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7307 loss: 2.7307 2022/07/27 08:09:17 - mmengine - INFO - Epoch(train) [36][2320/3757] lr: 9.0958e-03 eta: 2 days, 11:17:02 time: 0.3954 data_time: 0.0163 memory: 17007 grad_norm: 5.9403 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5954 loss: 2.5954 2022/07/27 08:09:25 - mmengine - INFO - Epoch(train) [36][2340/3757] lr: 9.0958e-03 eta: 2 days, 11:16:54 time: 0.3957 data_time: 0.0163 memory: 17007 grad_norm: 5.6188 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6129 loss: 2.6129 2022/07/27 08:09:33 - mmengine - INFO - Epoch(train) [36][2360/3757] lr: 9.0958e-03 eta: 2 days, 11:16:47 time: 0.3962 data_time: 0.0167 memory: 17007 grad_norm: 5.5791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8070 loss: 2.8070 2022/07/27 08:09:40 - mmengine - INFO - Epoch(train) [36][2380/3757] lr: 9.0958e-03 eta: 2 days, 11:16:39 time: 0.3944 data_time: 0.0165 memory: 17007 grad_norm: 5.7564 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8239 loss: 2.8239 2022/07/27 08:09:48 - mmengine - INFO - Epoch(train) [36][2400/3757] lr: 9.0958e-03 eta: 2 days, 11:16:31 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 5.5408 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4661 loss: 2.4661 2022/07/27 08:09:56 - mmengine - INFO - Epoch(train) [36][2420/3757] lr: 9.0958e-03 eta: 2 days, 11:16:23 time: 0.3936 data_time: 0.0157 memory: 17007 grad_norm: 5.2395 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5916 loss: 2.5916 2022/07/27 08:10:04 - mmengine - INFO - Epoch(train) [36][2440/3757] lr: 9.0958e-03 eta: 2 days, 11:16:15 time: 0.3945 data_time: 0.0171 memory: 17007 grad_norm: 5.6105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5921 loss: 2.5921 2022/07/27 08:10:12 - mmengine - INFO - Epoch(train) [36][2460/3757] lr: 9.0958e-03 eta: 2 days, 11:16:08 time: 0.3950 data_time: 0.0164 memory: 17007 grad_norm: 5.3744 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6297 loss: 2.6297 2022/07/27 08:10:20 - mmengine - INFO - Epoch(train) [36][2480/3757] lr: 9.0958e-03 eta: 2 days, 11:16:00 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.3060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6306 loss: 2.6306 2022/07/27 08:10:28 - mmengine - INFO - Epoch(train) [36][2500/3757] lr: 9.0958e-03 eta: 2 days, 11:15:52 time: 0.3909 data_time: 0.0141 memory: 17007 grad_norm: 5.4682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6289 loss: 2.6289 2022/07/27 08:10:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:10:35 - mmengine - INFO - Epoch(train) [36][2520/3757] lr: 9.0958e-03 eta: 2 days, 11:15:44 time: 0.3930 data_time: 0.0167 memory: 17007 grad_norm: 5.5479 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7438 loss: 2.7438 2022/07/27 08:10:43 - mmengine - INFO - Epoch(train) [36][2540/3757] lr: 9.0958e-03 eta: 2 days, 11:15:36 time: 0.3930 data_time: 0.0137 memory: 17007 grad_norm: 5.5269 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3211 loss: 2.3211 2022/07/27 08:10:51 - mmengine - INFO - Epoch(train) [36][2560/3757] lr: 9.0958e-03 eta: 2 days, 11:15:28 time: 0.3937 data_time: 0.0171 memory: 17007 grad_norm: 5.3713 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5831 loss: 2.5831 2022/07/27 08:10:59 - mmengine - INFO - Epoch(train) [36][2580/3757] lr: 9.0958e-03 eta: 2 days, 11:15:20 time: 0.3907 data_time: 0.0145 memory: 17007 grad_norm: 5.4794 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6074 loss: 2.6074 2022/07/27 08:11:07 - mmengine - INFO - Epoch(train) [36][2600/3757] lr: 9.0958e-03 eta: 2 days, 11:15:12 time: 0.3956 data_time: 0.0162 memory: 17007 grad_norm: 5.5421 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9474 loss: 2.9474 2022/07/27 08:11:15 - mmengine - INFO - Epoch(train) [36][2620/3757] lr: 9.0958e-03 eta: 2 days, 11:15:04 time: 0.3951 data_time: 0.0144 memory: 17007 grad_norm: 5.5398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5673 loss: 2.5673 2022/07/27 08:11:23 - mmengine - INFO - Epoch(train) [36][2640/3757] lr: 9.0958e-03 eta: 2 days, 11:14:57 time: 0.3998 data_time: 0.0168 memory: 17007 grad_norm: 5.5527 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8046 loss: 2.8046 2022/07/27 08:11:31 - mmengine - INFO - Epoch(train) [36][2660/3757] lr: 9.0958e-03 eta: 2 days, 11:14:49 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 5.4384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6367 loss: 2.6367 2022/07/27 08:11:39 - mmengine - INFO - Epoch(train) [36][2680/3757] lr: 9.0958e-03 eta: 2 days, 11:14:41 time: 0.3923 data_time: 0.0165 memory: 17007 grad_norm: 5.4760 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1938 loss: 2.1938 2022/07/27 08:11:46 - mmengine - INFO - Epoch(train) [36][2700/3757] lr: 9.0958e-03 eta: 2 days, 11:14:33 time: 0.3934 data_time: 0.0139 memory: 17007 grad_norm: 5.5650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4276 loss: 2.4276 2022/07/27 08:11:54 - mmengine - INFO - Epoch(train) [36][2720/3757] lr: 9.0958e-03 eta: 2 days, 11:14:26 time: 0.3951 data_time: 0.0171 memory: 17007 grad_norm: 5.5152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4173 loss: 2.4173 2022/07/27 08:12:02 - mmengine - INFO - Epoch(train) [36][2740/3757] lr: 9.0958e-03 eta: 2 days, 11:14:18 time: 0.3976 data_time: 0.0145 memory: 17007 grad_norm: 5.4741 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7457 loss: 2.7457 2022/07/27 08:12:10 - mmengine - INFO - Epoch(train) [36][2760/3757] lr: 9.0958e-03 eta: 2 days, 11:14:10 time: 0.3945 data_time: 0.0169 memory: 17007 grad_norm: 5.4688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5569 loss: 2.5569 2022/07/27 08:12:18 - mmengine - INFO - Epoch(train) [36][2780/3757] lr: 9.0958e-03 eta: 2 days, 11:14:02 time: 0.3935 data_time: 0.0139 memory: 17007 grad_norm: 5.6201 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2694 loss: 2.2694 2022/07/27 08:12:26 - mmengine - INFO - Epoch(train) [36][2800/3757] lr: 9.0958e-03 eta: 2 days, 11:13:54 time: 0.3917 data_time: 0.0162 memory: 17007 grad_norm: 5.6852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4859 loss: 2.4859 2022/07/27 08:12:34 - mmengine - INFO - Epoch(train) [36][2820/3757] lr: 9.0958e-03 eta: 2 days, 11:13:47 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 5.6153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8387 loss: 2.8387 2022/07/27 08:12:42 - mmengine - INFO - Epoch(train) [36][2840/3757] lr: 9.0958e-03 eta: 2 days, 11:13:39 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.5050 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5587 loss: 2.5587 2022/07/27 08:12:50 - mmengine - INFO - Epoch(train) [36][2860/3757] lr: 9.0958e-03 eta: 2 days, 11:13:31 time: 0.3915 data_time: 0.0147 memory: 17007 grad_norm: 5.4050 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7002 loss: 2.7002 2022/07/27 08:12:57 - mmengine - INFO - Epoch(train) [36][2880/3757] lr: 9.0958e-03 eta: 2 days, 11:13:23 time: 0.3944 data_time: 0.0175 memory: 17007 grad_norm: 5.4254 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6700 loss: 2.6700 2022/07/27 08:13:05 - mmengine - INFO - Epoch(train) [36][2900/3757] lr: 9.0958e-03 eta: 2 days, 11:13:15 time: 0.3910 data_time: 0.0146 memory: 17007 grad_norm: 5.5158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7248 loss: 2.7248 2022/07/27 08:13:13 - mmengine - INFO - Epoch(train) [36][2920/3757] lr: 9.0958e-03 eta: 2 days, 11:13:07 time: 0.3938 data_time: 0.0171 memory: 17007 grad_norm: 5.6001 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0699 loss: 3.0699 2022/07/27 08:13:21 - mmengine - INFO - Epoch(train) [36][2940/3757] lr: 9.0958e-03 eta: 2 days, 11:12:59 time: 0.3916 data_time: 0.0140 memory: 17007 grad_norm: 5.7527 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5079 loss: 2.5079 2022/07/27 08:13:29 - mmengine - INFO - Epoch(train) [36][2960/3757] lr: 9.0958e-03 eta: 2 days, 11:12:51 time: 0.3916 data_time: 0.0167 memory: 17007 grad_norm: 5.5350 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6823 loss: 2.6823 2022/07/27 08:13:37 - mmengine - INFO - Epoch(train) [36][2980/3757] lr: 9.0958e-03 eta: 2 days, 11:12:43 time: 0.3934 data_time: 0.0141 memory: 17007 grad_norm: 5.4448 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5768 loss: 2.5768 2022/07/27 08:13:45 - mmengine - INFO - Epoch(train) [36][3000/3757] lr: 9.0958e-03 eta: 2 days, 11:12:35 time: 0.3944 data_time: 0.0163 memory: 17007 grad_norm: 5.5670 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6511 loss: 2.6511 2022/07/27 08:13:52 - mmengine - INFO - Epoch(train) [36][3020/3757] lr: 9.0958e-03 eta: 2 days, 11:12:27 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 5.4049 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4831 loss: 2.4831 2022/07/27 08:14:00 - mmengine - INFO - Epoch(train) [36][3040/3757] lr: 9.0958e-03 eta: 2 days, 11:12:20 time: 0.3962 data_time: 0.0164 memory: 17007 grad_norm: 5.3498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5910 loss: 2.5910 2022/07/27 08:14:08 - mmengine - INFO - Epoch(train) [36][3060/3757] lr: 9.0958e-03 eta: 2 days, 11:12:12 time: 0.3926 data_time: 0.0134 memory: 17007 grad_norm: 5.4727 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6809 loss: 2.6809 2022/07/27 08:14:16 - mmengine - INFO - Epoch(train) [36][3080/3757] lr: 9.0958e-03 eta: 2 days, 11:12:04 time: 0.3943 data_time: 0.0170 memory: 17007 grad_norm: 5.6671 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6961 loss: 2.6961 2022/07/27 08:14:24 - mmengine - INFO - Epoch(train) [36][3100/3757] lr: 9.0958e-03 eta: 2 days, 11:11:56 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 5.6883 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5881 loss: 2.5881 2022/07/27 08:14:32 - mmengine - INFO - Epoch(train) [36][3120/3757] lr: 9.0958e-03 eta: 2 days, 11:11:48 time: 0.3938 data_time: 0.0171 memory: 17007 grad_norm: 5.7097 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8087 loss: 2.8087 2022/07/27 08:14:40 - mmengine - INFO - Epoch(train) [36][3140/3757] lr: 9.0958e-03 eta: 2 days, 11:11:40 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 5.5231 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5952 loss: 2.5952 2022/07/27 08:14:48 - mmengine - INFO - Epoch(train) [36][3160/3757] lr: 9.0958e-03 eta: 2 days, 11:11:33 time: 0.4014 data_time: 0.0186 memory: 17007 grad_norm: 5.3518 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1806 loss: 2.1806 2022/07/27 08:14:56 - mmengine - INFO - Epoch(train) [36][3180/3757] lr: 9.0958e-03 eta: 2 days, 11:11:25 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 5.4060 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4844 loss: 2.4844 2022/07/27 08:15:03 - mmengine - INFO - Epoch(train) [36][3200/3757] lr: 9.0958e-03 eta: 2 days, 11:11:17 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 5.5439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5719 loss: 2.5719 2022/07/27 08:15:11 - mmengine - INFO - Epoch(train) [36][3220/3757] lr: 9.0958e-03 eta: 2 days, 11:11:10 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 5.6931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3440 loss: 2.3440 2022/07/27 08:15:19 - mmengine - INFO - Epoch(train) [36][3240/3757] lr: 9.0958e-03 eta: 2 days, 11:11:02 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 5.6335 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9509 loss: 2.9509 2022/07/27 08:15:27 - mmengine - INFO - Epoch(train) [36][3260/3757] lr: 9.0958e-03 eta: 2 days, 11:10:54 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 5.5520 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9898 loss: 2.9898 2022/07/27 08:15:35 - mmengine - INFO - Epoch(train) [36][3280/3757] lr: 9.0958e-03 eta: 2 days, 11:10:46 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 5.3773 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9170 loss: 2.9170 2022/07/27 08:15:43 - mmengine - INFO - Epoch(train) [36][3300/3757] lr: 9.0958e-03 eta: 2 days, 11:10:38 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 5.4977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3157 loss: 2.3157 2022/07/27 08:15:51 - mmengine - INFO - Epoch(train) [36][3320/3757] lr: 9.0958e-03 eta: 2 days, 11:10:30 time: 0.3932 data_time: 0.0166 memory: 17007 grad_norm: 5.3837 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5438 loss: 2.5438 2022/07/27 08:15:59 - mmengine - INFO - Epoch(train) [36][3340/3757] lr: 9.0958e-03 eta: 2 days, 11:10:22 time: 0.3918 data_time: 0.0136 memory: 17007 grad_norm: 5.4274 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6637 loss: 2.6637 2022/07/27 08:16:06 - mmengine - INFO - Epoch(train) [36][3360/3757] lr: 9.0958e-03 eta: 2 days, 11:10:14 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 5.5021 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6627 loss: 2.6627 2022/07/27 08:16:14 - mmengine - INFO - Epoch(train) [36][3380/3757] lr: 9.0958e-03 eta: 2 days, 11:10:06 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 5.6063 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6839 loss: 2.6839 2022/07/27 08:16:22 - mmengine - INFO - Epoch(train) [36][3400/3757] lr: 9.0958e-03 eta: 2 days, 11:09:59 time: 0.4049 data_time: 0.0173 memory: 17007 grad_norm: 5.5225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5683 loss: 2.5683 2022/07/27 08:16:30 - mmengine - INFO - Epoch(train) [36][3420/3757] lr: 9.0958e-03 eta: 2 days, 11:09:51 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 5.4784 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5348 loss: 2.5348 2022/07/27 08:16:38 - mmengine - INFO - Epoch(train) [36][3440/3757] lr: 9.0958e-03 eta: 2 days, 11:09:44 time: 0.3946 data_time: 0.0169 memory: 17007 grad_norm: 5.4599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5272 loss: 2.5272 2022/07/27 08:16:46 - mmengine - INFO - Epoch(train) [36][3460/3757] lr: 9.0958e-03 eta: 2 days, 11:09:36 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 5.4523 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4460 loss: 2.4460 2022/07/27 08:16:54 - mmengine - INFO - Epoch(train) [36][3480/3757] lr: 9.0958e-03 eta: 2 days, 11:09:28 time: 0.3938 data_time: 0.0169 memory: 17007 grad_norm: 5.6312 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8249 loss: 2.8249 2022/07/27 08:17:02 - mmengine - INFO - Epoch(train) [36][3500/3757] lr: 9.0958e-03 eta: 2 days, 11:09:20 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 5.7901 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3517 loss: 2.3517 2022/07/27 08:17:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:17:10 - mmengine - INFO - Epoch(train) [36][3520/3757] lr: 9.0958e-03 eta: 2 days, 11:09:12 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 5.5173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7060 loss: 2.7060 2022/07/27 08:17:17 - mmengine - INFO - Epoch(train) [36][3540/3757] lr: 9.0958e-03 eta: 2 days, 11:09:04 time: 0.3936 data_time: 0.0140 memory: 17007 grad_norm: 5.4850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5829 loss: 2.5829 2022/07/27 08:17:25 - mmengine - INFO - Epoch(train) [36][3560/3757] lr: 9.0958e-03 eta: 2 days, 11:08:57 time: 0.3969 data_time: 0.0176 memory: 17007 grad_norm: 5.6007 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4214 loss: 2.4214 2022/07/27 08:17:33 - mmengine - INFO - Epoch(train) [36][3580/3757] lr: 9.0958e-03 eta: 2 days, 11:08:49 time: 0.3919 data_time: 0.0144 memory: 17007 grad_norm: 5.6160 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6651 loss: 2.6651 2022/07/27 08:17:41 - mmengine - INFO - Epoch(train) [36][3600/3757] lr: 9.0958e-03 eta: 2 days, 11:08:41 time: 0.3936 data_time: 0.0175 memory: 17007 grad_norm: 5.3932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8455 loss: 2.8455 2022/07/27 08:17:49 - mmengine - INFO - Epoch(train) [36][3620/3757] lr: 9.0958e-03 eta: 2 days, 11:08:33 time: 0.3922 data_time: 0.0149 memory: 17007 grad_norm: 5.5791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5429 loss: 2.5429 2022/07/27 08:17:57 - mmengine - INFO - Epoch(train) [36][3640/3757] lr: 9.0958e-03 eta: 2 days, 11:08:25 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 5.6498 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2608 loss: 2.2608 2022/07/27 08:18:05 - mmengine - INFO - Epoch(train) [36][3660/3757] lr: 9.0958e-03 eta: 2 days, 11:08:17 time: 0.3942 data_time: 0.0145 memory: 17007 grad_norm: 5.5927 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5740 loss: 2.5740 2022/07/27 08:18:13 - mmengine - INFO - Epoch(train) [36][3680/3757] lr: 9.0958e-03 eta: 2 days, 11:08:09 time: 0.3946 data_time: 0.0176 memory: 17007 grad_norm: 5.7323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6272 loss: 2.6272 2022/07/27 08:18:21 - mmengine - INFO - Epoch(train) [36][3700/3757] lr: 9.0958e-03 eta: 2 days, 11:08:02 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 5.5012 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8024 loss: 2.8024 2022/07/27 08:18:28 - mmengine - INFO - Epoch(train) [36][3720/3757] lr: 9.0958e-03 eta: 2 days, 11:07:54 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 5.4651 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4665 loss: 2.4665 2022/07/27 08:18:36 - mmengine - INFO - Epoch(train) [36][3740/3757] lr: 9.0958e-03 eta: 2 days, 11:07:46 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 5.5508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 3.0293 loss: 3.0293 2022/07/27 08:18:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:18:43 - mmengine - INFO - Epoch(train) [36][3757/3757] lr: 9.0958e-03 eta: 2 days, 11:07:46 time: 0.4050 data_time: 0.0158 memory: 17007 grad_norm: 5.6928 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.7671 loss: 2.7671 2022/07/27 08:18:43 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/07/27 08:18:54 - mmengine - INFO - Epoch(train) [37][20/3757] lr: 9.0451e-03 eta: 2 days, 11:07:10 time: 0.4626 data_time: 0.0855 memory: 17007 grad_norm: 5.6721 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8872 loss: 2.8872 2022/07/27 08:19:02 - mmengine - INFO - Epoch(train) [37][40/3757] lr: 9.0451e-03 eta: 2 days, 11:07:02 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 5.3337 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5247 loss: 2.5247 2022/07/27 08:19:10 - mmengine - INFO - Epoch(train) [37][60/3757] lr: 9.0451e-03 eta: 2 days, 11:06:54 time: 0.3913 data_time: 0.0148 memory: 17007 grad_norm: 5.6561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4453 loss: 2.4453 2022/07/27 08:19:18 - mmengine - INFO - Epoch(train) [37][80/3757] lr: 9.0451e-03 eta: 2 days, 11:06:47 time: 0.3939 data_time: 0.0168 memory: 17007 grad_norm: 5.5049 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6306 loss: 2.6306 2022/07/27 08:19:26 - mmengine - INFO - Epoch(train) [37][100/3757] lr: 9.0451e-03 eta: 2 days, 11:06:39 time: 0.3966 data_time: 0.0160 memory: 17007 grad_norm: 5.6233 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8006 loss: 2.8006 2022/07/27 08:19:34 - mmengine - INFO - Epoch(train) [37][120/3757] lr: 9.0451e-03 eta: 2 days, 11:06:31 time: 0.3958 data_time: 0.0178 memory: 17007 grad_norm: 5.5328 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6136 loss: 2.6136 2022/07/27 08:19:42 - mmengine - INFO - Epoch(train) [37][140/3757] lr: 9.0451e-03 eta: 2 days, 11:06:23 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 5.6377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7654 loss: 2.7654 2022/07/27 08:19:49 - mmengine - INFO - Epoch(train) [37][160/3757] lr: 9.0451e-03 eta: 2 days, 11:06:15 time: 0.3914 data_time: 0.0161 memory: 17007 grad_norm: 5.4859 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4806 loss: 2.4806 2022/07/27 08:19:57 - mmengine - INFO - Epoch(train) [37][180/3757] lr: 9.0451e-03 eta: 2 days, 11:06:07 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 5.7242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5759 loss: 2.5759 2022/07/27 08:20:05 - mmengine - INFO - Epoch(train) [37][200/3757] lr: 9.0451e-03 eta: 2 days, 11:06:01 time: 0.4049 data_time: 0.0164 memory: 17007 grad_norm: 5.7341 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.0638 loss: 3.0638 2022/07/27 08:20:13 - mmengine - INFO - Epoch(train) [37][220/3757] lr: 9.0451e-03 eta: 2 days, 11:05:53 time: 0.3947 data_time: 0.0169 memory: 17007 grad_norm: 5.7054 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5730 loss: 2.5730 2022/07/27 08:20:21 - mmengine - INFO - Epoch(train) [37][240/3757] lr: 9.0451e-03 eta: 2 days, 11:05:45 time: 0.3993 data_time: 0.0151 memory: 17007 grad_norm: 5.5040 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6721 loss: 2.6721 2022/07/27 08:20:29 - mmengine - INFO - Epoch(train) [37][260/3757] lr: 9.0451e-03 eta: 2 days, 11:05:37 time: 0.3926 data_time: 0.0160 memory: 17007 grad_norm: 5.4958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4077 loss: 2.4077 2022/07/27 08:20:37 - mmengine - INFO - Epoch(train) [37][280/3757] lr: 9.0451e-03 eta: 2 days, 11:05:30 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 5.4986 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3722 loss: 2.3722 2022/07/27 08:20:45 - mmengine - INFO - Epoch(train) [37][300/3757] lr: 9.0451e-03 eta: 2 days, 11:05:23 time: 0.4044 data_time: 0.0162 memory: 17007 grad_norm: 5.4815 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5897 loss: 2.5897 2022/07/27 08:20:53 - mmengine - INFO - Epoch(train) [37][320/3757] lr: 9.0451e-03 eta: 2 days, 11:05:15 time: 0.3952 data_time: 0.0168 memory: 17007 grad_norm: 5.4794 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7245 loss: 2.7245 2022/07/27 08:21:01 - mmengine - INFO - Epoch(train) [37][340/3757] lr: 9.0451e-03 eta: 2 days, 11:05:07 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 5.5634 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4598 loss: 2.4598 2022/07/27 08:21:09 - mmengine - INFO - Epoch(train) [37][360/3757] lr: 9.0451e-03 eta: 2 days, 11:04:59 time: 0.3984 data_time: 0.0149 memory: 17007 grad_norm: 5.3332 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2309 loss: 2.2309 2022/07/27 08:21:17 - mmengine - INFO - Epoch(train) [37][380/3757] lr: 9.0451e-03 eta: 2 days, 11:04:51 time: 0.3920 data_time: 0.0149 memory: 17007 grad_norm: 5.4072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4552 loss: 2.4552 2022/07/27 08:21:25 - mmengine - INFO - Epoch(train) [37][400/3757] lr: 9.0451e-03 eta: 2 days, 11:04:44 time: 0.4008 data_time: 0.0164 memory: 17007 grad_norm: 5.4563 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4874 loss: 2.4874 2022/07/27 08:21:33 - mmengine - INFO - Epoch(train) [37][420/3757] lr: 9.0451e-03 eta: 2 days, 11:04:36 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 5.6418 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4153 loss: 2.4153 2022/07/27 08:21:40 - mmengine - INFO - Epoch(train) [37][440/3757] lr: 9.0451e-03 eta: 2 days, 11:04:28 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 5.5926 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3015 loss: 2.3015 2022/07/27 08:21:48 - mmengine - INFO - Epoch(train) [37][460/3757] lr: 9.0451e-03 eta: 2 days, 11:04:21 time: 0.3988 data_time: 0.0158 memory: 17007 grad_norm: 5.5276 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8299 loss: 2.8299 2022/07/27 08:21:56 - mmengine - INFO - Epoch(train) [37][480/3757] lr: 9.0451e-03 eta: 2 days, 11:04:13 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 5.3853 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4560 loss: 2.4560 2022/07/27 08:22:04 - mmengine - INFO - Epoch(train) [37][500/3757] lr: 9.0451e-03 eta: 2 days, 11:04:06 time: 0.4027 data_time: 0.0162 memory: 17007 grad_norm: 5.7254 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7754 loss: 2.7754 2022/07/27 08:22:12 - mmengine - INFO - Epoch(train) [37][520/3757] lr: 9.0451e-03 eta: 2 days, 11:03:58 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 5.7504 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7533 loss: 2.7533 2022/07/27 08:22:20 - mmengine - INFO - Epoch(train) [37][540/3757] lr: 9.0451e-03 eta: 2 days, 11:03:50 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 5.5299 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4050 loss: 2.4050 2022/07/27 08:22:28 - mmengine - INFO - Epoch(train) [37][560/3757] lr: 9.0451e-03 eta: 2 days, 11:03:43 time: 0.3981 data_time: 0.0168 memory: 17007 grad_norm: 5.5734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6283 loss: 2.6283 2022/07/27 08:22:36 - mmengine - INFO - Epoch(train) [37][580/3757] lr: 9.0451e-03 eta: 2 days, 11:03:35 time: 0.3968 data_time: 0.0160 memory: 17007 grad_norm: 5.4572 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6063 loss: 2.6063 2022/07/27 08:22:44 - mmengine - INFO - Epoch(train) [37][600/3757] lr: 9.0451e-03 eta: 2 days, 11:03:28 time: 0.3963 data_time: 0.0168 memory: 17007 grad_norm: 5.6519 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8540 loss: 2.8540 2022/07/27 08:22:52 - mmengine - INFO - Epoch(train) [37][620/3757] lr: 9.0451e-03 eta: 2 days, 11:03:20 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.4293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5037 loss: 2.5037 2022/07/27 08:23:00 - mmengine - INFO - Epoch(train) [37][640/3757] lr: 9.0451e-03 eta: 2 days, 11:03:12 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 5.8273 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7517 loss: 2.7517 2022/07/27 08:23:08 - mmengine - INFO - Epoch(train) [37][660/3757] lr: 9.0451e-03 eta: 2 days, 11:03:05 time: 0.4046 data_time: 0.0159 memory: 17007 grad_norm: 5.5126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5832 loss: 2.5832 2022/07/27 08:23:16 - mmengine - INFO - Epoch(train) [37][680/3757] lr: 9.0451e-03 eta: 2 days, 11:02:59 time: 0.4128 data_time: 0.0172 memory: 17007 grad_norm: 5.3805 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6177 loss: 2.6177 2022/07/27 08:23:24 - mmengine - INFO - Epoch(train) [37][700/3757] lr: 9.0451e-03 eta: 2 days, 11:02:51 time: 0.3993 data_time: 0.0173 memory: 17007 grad_norm: 5.4807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5389 loss: 2.5389 2022/07/27 08:23:32 - mmengine - INFO - Epoch(train) [37][720/3757] lr: 9.0451e-03 eta: 2 days, 11:02:43 time: 0.3917 data_time: 0.0156 memory: 17007 grad_norm: 5.5632 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8431 loss: 2.8431 2022/07/27 08:23:40 - mmengine - INFO - Epoch(train) [37][740/3757] lr: 9.0451e-03 eta: 2 days, 11:02:35 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 5.6638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5808 loss: 2.5808 2022/07/27 08:23:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:23:48 - mmengine - INFO - Epoch(train) [37][760/3757] lr: 9.0451e-03 eta: 2 days, 11:02:27 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 5.5310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8174 loss: 2.8174 2022/07/27 08:23:55 - mmengine - INFO - Epoch(train) [37][780/3757] lr: 9.0451e-03 eta: 2 days, 11:02:19 time: 0.3923 data_time: 0.0147 memory: 17007 grad_norm: 5.4863 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3865 loss: 2.3865 2022/07/27 08:24:03 - mmengine - INFO - Epoch(train) [37][800/3757] lr: 9.0451e-03 eta: 2 days, 11:02:12 time: 0.3954 data_time: 0.0180 memory: 17007 grad_norm: 5.6320 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4685 loss: 2.4685 2022/07/27 08:24:11 - mmengine - INFO - Epoch(train) [37][820/3757] lr: 9.0451e-03 eta: 2 days, 11:02:04 time: 0.3922 data_time: 0.0149 memory: 17007 grad_norm: 5.4882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5171 loss: 2.5171 2022/07/27 08:24:19 - mmengine - INFO - Epoch(train) [37][840/3757] lr: 9.0451e-03 eta: 2 days, 11:01:56 time: 0.3917 data_time: 0.0151 memory: 17007 grad_norm: 5.4341 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8670 loss: 2.8670 2022/07/27 08:24:27 - mmengine - INFO - Epoch(train) [37][860/3757] lr: 9.0451e-03 eta: 2 days, 11:01:48 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 5.6348 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7820 loss: 2.7820 2022/07/27 08:24:35 - mmengine - INFO - Epoch(train) [37][880/3757] lr: 9.0451e-03 eta: 2 days, 11:01:41 time: 0.4094 data_time: 0.0162 memory: 17007 grad_norm: 5.2941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1748 loss: 2.1748 2022/07/27 08:24:43 - mmengine - INFO - Epoch(train) [37][900/3757] lr: 9.0451e-03 eta: 2 days, 11:01:34 time: 0.3934 data_time: 0.0162 memory: 17007 grad_norm: 5.4310 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2380 loss: 2.2380 2022/07/27 08:24:51 - mmengine - INFO - Epoch(train) [37][920/3757] lr: 9.0451e-03 eta: 2 days, 11:01:26 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 5.4746 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5912 loss: 2.5912 2022/07/27 08:24:59 - mmengine - INFO - Epoch(train) [37][940/3757] lr: 9.0451e-03 eta: 2 days, 11:01:18 time: 0.3920 data_time: 0.0147 memory: 17007 grad_norm: 5.5812 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4816 loss: 2.4816 2022/07/27 08:25:07 - mmengine - INFO - Epoch(train) [37][960/3757] lr: 9.0451e-03 eta: 2 days, 11:01:10 time: 0.3953 data_time: 0.0173 memory: 17007 grad_norm: 5.6315 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5077 loss: 2.5077 2022/07/27 08:25:15 - mmengine - INFO - Epoch(train) [37][980/3757] lr: 9.0451e-03 eta: 2 days, 11:01:02 time: 0.3940 data_time: 0.0163 memory: 17007 grad_norm: 5.4315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5830 loss: 2.5830 2022/07/27 08:25:23 - mmengine - INFO - Epoch(train) [37][1000/3757] lr: 9.0451e-03 eta: 2 days, 11:00:55 time: 0.4000 data_time: 0.0173 memory: 17007 grad_norm: 5.6418 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5141 loss: 2.5141 2022/07/27 08:25:30 - mmengine - INFO - Epoch(train) [37][1020/3757] lr: 9.0451e-03 eta: 2 days, 11:00:47 time: 0.3913 data_time: 0.0152 memory: 17007 grad_norm: 5.8534 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4566 loss: 2.4566 2022/07/27 08:25:38 - mmengine - INFO - Epoch(train) [37][1040/3757] lr: 9.0451e-03 eta: 2 days, 11:00:39 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 5.6476 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8653 loss: 2.8653 2022/07/27 08:25:46 - mmengine - INFO - Epoch(train) [37][1060/3757] lr: 9.0451e-03 eta: 2 days, 11:00:32 time: 0.4005 data_time: 0.0171 memory: 17007 grad_norm: 5.6778 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5282 loss: 2.5282 2022/07/27 08:25:54 - mmengine - INFO - Epoch(train) [37][1080/3757] lr: 9.0451e-03 eta: 2 days, 11:00:24 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 5.5461 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4006 loss: 2.4006 2022/07/27 08:26:02 - mmengine - INFO - Epoch(train) [37][1100/3757] lr: 9.0451e-03 eta: 2 days, 11:00:16 time: 0.3995 data_time: 0.0166 memory: 17007 grad_norm: 5.4943 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4692 loss: 2.4692 2022/07/27 08:26:10 - mmengine - INFO - Epoch(train) [37][1120/3757] lr: 9.0451e-03 eta: 2 days, 11:00:08 time: 0.3916 data_time: 0.0153 memory: 17007 grad_norm: 5.4805 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7483 loss: 2.7483 2022/07/27 08:26:18 - mmengine - INFO - Epoch(train) [37][1140/3757] lr: 9.0451e-03 eta: 2 days, 11:00:00 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 5.4892 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5583 loss: 2.5583 2022/07/27 08:26:26 - mmengine - INFO - Epoch(train) [37][1160/3757] lr: 9.0451e-03 eta: 2 days, 10:59:53 time: 0.3964 data_time: 0.0169 memory: 17007 grad_norm: 5.4170 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6742 loss: 2.6742 2022/07/27 08:26:34 - mmengine - INFO - Epoch(train) [37][1180/3757] lr: 9.0451e-03 eta: 2 days, 10:59:45 time: 0.3918 data_time: 0.0149 memory: 17007 grad_norm: 5.4066 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8030 loss: 2.8030 2022/07/27 08:26:41 - mmengine - INFO - Epoch(train) [37][1200/3757] lr: 9.0451e-03 eta: 2 days, 10:59:37 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 5.5556 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3529 loss: 2.3529 2022/07/27 08:26:49 - mmengine - INFO - Epoch(train) [37][1220/3757] lr: 9.0451e-03 eta: 2 days, 10:59:29 time: 0.3941 data_time: 0.0145 memory: 17007 grad_norm: 5.5509 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4951 loss: 2.4951 2022/07/27 08:26:57 - mmengine - INFO - Epoch(train) [37][1240/3757] lr: 9.0451e-03 eta: 2 days, 10:59:21 time: 0.3954 data_time: 0.0162 memory: 17007 grad_norm: 5.3722 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3337 loss: 2.3337 2022/07/27 08:27:05 - mmengine - INFO - Epoch(train) [37][1260/3757] lr: 9.0451e-03 eta: 2 days, 10:59:15 time: 0.4097 data_time: 0.0165 memory: 17007 grad_norm: 6.2179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5815 loss: 2.5815 2022/07/27 08:27:13 - mmengine - INFO - Epoch(train) [37][1280/3757] lr: 9.0451e-03 eta: 2 days, 10:59:07 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.7193 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7088 loss: 2.7088 2022/07/27 08:27:21 - mmengine - INFO - Epoch(train) [37][1300/3757] lr: 9.0451e-03 eta: 2 days, 10:58:59 time: 0.3909 data_time: 0.0138 memory: 17007 grad_norm: 5.7342 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4808 loss: 2.4808 2022/07/27 08:27:29 - mmengine - INFO - Epoch(train) [37][1320/3757] lr: 9.0451e-03 eta: 2 days, 10:58:51 time: 0.3954 data_time: 0.0171 memory: 17007 grad_norm: 5.6358 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7855 loss: 2.7855 2022/07/27 08:27:37 - mmengine - INFO - Epoch(train) [37][1340/3757] lr: 9.0451e-03 eta: 2 days, 10:58:43 time: 0.3963 data_time: 0.0151 memory: 17007 grad_norm: 5.3567 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6421 loss: 2.6421 2022/07/27 08:27:45 - mmengine - INFO - Epoch(train) [37][1360/3757] lr: 9.0451e-03 eta: 2 days, 10:58:35 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 5.3681 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7145 loss: 2.7145 2022/07/27 08:27:53 - mmengine - INFO - Epoch(train) [37][1380/3757] lr: 9.0451e-03 eta: 2 days, 10:58:27 time: 0.3918 data_time: 0.0162 memory: 17007 grad_norm: 5.6167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3005 loss: 2.3005 2022/07/27 08:28:00 - mmengine - INFO - Epoch(train) [37][1400/3757] lr: 9.0451e-03 eta: 2 days, 10:58:19 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 5.5232 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6491 loss: 2.6491 2022/07/27 08:28:08 - mmengine - INFO - Epoch(train) [37][1420/3757] lr: 9.0451e-03 eta: 2 days, 10:58:12 time: 0.3993 data_time: 0.0168 memory: 17007 grad_norm: 5.6053 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6683 loss: 2.6683 2022/07/27 08:28:16 - mmengine - INFO - Epoch(train) [37][1440/3757] lr: 9.0451e-03 eta: 2 days, 10:58:04 time: 0.3945 data_time: 0.0166 memory: 17007 grad_norm: 5.4306 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8410 loss: 2.8410 2022/07/27 08:28:24 - mmengine - INFO - Epoch(train) [37][1460/3757] lr: 9.0451e-03 eta: 2 days, 10:57:57 time: 0.3972 data_time: 0.0165 memory: 17007 grad_norm: 5.4175 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7303 loss: 2.7303 2022/07/27 08:28:32 - mmengine - INFO - Epoch(train) [37][1480/3757] lr: 9.0451e-03 eta: 2 days, 10:57:49 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 5.3554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5741 loss: 2.5741 2022/07/27 08:28:40 - mmengine - INFO - Epoch(train) [37][1500/3757] lr: 9.0451e-03 eta: 2 days, 10:57:41 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.5962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7608 loss: 2.7608 2022/07/27 08:28:48 - mmengine - INFO - Epoch(train) [37][1520/3757] lr: 9.0451e-03 eta: 2 days, 10:57:33 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 5.5605 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5395 loss: 2.5395 2022/07/27 08:28:56 - mmengine - INFO - Epoch(train) [37][1540/3757] lr: 9.0451e-03 eta: 2 days, 10:57:25 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 5.5255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3922 loss: 2.3922 2022/07/27 08:29:04 - mmengine - INFO - Epoch(train) [37][1560/3757] lr: 9.0451e-03 eta: 2 days, 10:57:17 time: 0.3951 data_time: 0.0175 memory: 17007 grad_norm: 5.6035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2482 loss: 2.2482 2022/07/27 08:29:12 - mmengine - INFO - Epoch(train) [37][1580/3757] lr: 9.0451e-03 eta: 2 days, 10:57:09 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 5.6173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7731 loss: 2.7731 2022/07/27 08:29:19 - mmengine - INFO - Epoch(train) [37][1600/3757] lr: 9.0451e-03 eta: 2 days, 10:57:01 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 5.7320 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0516 loss: 3.0516 2022/07/27 08:29:27 - mmengine - INFO - Epoch(train) [37][1620/3757] lr: 9.0451e-03 eta: 2 days, 10:56:54 time: 0.3985 data_time: 0.0165 memory: 17007 grad_norm: 5.8554 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0431 loss: 3.0431 2022/07/27 08:29:35 - mmengine - INFO - Epoch(train) [37][1640/3757] lr: 9.0451e-03 eta: 2 days, 10:56:46 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 5.5904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3813 loss: 2.3813 2022/07/27 08:29:43 - mmengine - INFO - Epoch(train) [37][1660/3757] lr: 9.0451e-03 eta: 2 days, 10:56:38 time: 0.3968 data_time: 0.0149 memory: 17007 grad_norm: 5.7230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5407 loss: 2.5407 2022/07/27 08:29:51 - mmengine - INFO - Epoch(train) [37][1680/3757] lr: 9.0451e-03 eta: 2 days, 10:56:30 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 5.5526 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4229 loss: 2.4229 2022/07/27 08:29:59 - mmengine - INFO - Epoch(train) [37][1700/3757] lr: 9.0451e-03 eta: 2 days, 10:56:24 time: 0.4080 data_time: 0.0166 memory: 17007 grad_norm: 5.6569 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2156 loss: 2.2156 2022/07/27 08:30:07 - mmengine - INFO - Epoch(train) [37][1720/3757] lr: 9.0451e-03 eta: 2 days, 10:56:16 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 5.4802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4028 loss: 2.4028 2022/07/27 08:30:15 - mmengine - INFO - Epoch(train) [37][1740/3757] lr: 9.0451e-03 eta: 2 days, 10:56:08 time: 0.3976 data_time: 0.0166 memory: 17007 grad_norm: 5.5947 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6047 loss: 2.6047 2022/07/27 08:30:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:30:23 - mmengine - INFO - Epoch(train) [37][1760/3757] lr: 9.0451e-03 eta: 2 days, 10:56:00 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 5.5903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5675 loss: 2.5675 2022/07/27 08:30:31 - mmengine - INFO - Epoch(train) [37][1780/3757] lr: 9.0451e-03 eta: 2 days, 10:55:52 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.4437 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8043 loss: 2.8043 2022/07/27 08:30:39 - mmengine - INFO - Epoch(train) [37][1800/3757] lr: 9.0451e-03 eta: 2 days, 10:55:45 time: 0.4004 data_time: 0.0155 memory: 17007 grad_norm: 5.7185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7524 loss: 2.7524 2022/07/27 08:30:47 - mmengine - INFO - Epoch(train) [37][1820/3757] lr: 9.0451e-03 eta: 2 days, 10:55:37 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 5.6416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5240 loss: 2.5240 2022/07/27 08:30:54 - mmengine - INFO - Epoch(train) [37][1840/3757] lr: 9.0451e-03 eta: 2 days, 10:55:29 time: 0.3944 data_time: 0.0164 memory: 17007 grad_norm: 5.6575 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6907 loss: 2.6907 2022/07/27 08:31:02 - mmengine - INFO - Epoch(train) [37][1860/3757] lr: 9.0451e-03 eta: 2 days, 10:55:21 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 5.7342 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8310 loss: 2.8310 2022/07/27 08:31:10 - mmengine - INFO - Epoch(train) [37][1880/3757] lr: 9.0451e-03 eta: 2 days, 10:55:13 time: 0.3914 data_time: 0.0151 memory: 17007 grad_norm: 5.5561 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7653 loss: 2.7653 2022/07/27 08:31:18 - mmengine - INFO - Epoch(train) [37][1900/3757] lr: 9.0451e-03 eta: 2 days, 10:55:05 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 5.5573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7141 loss: 2.7141 2022/07/27 08:31:26 - mmengine - INFO - Epoch(train) [37][1920/3757] lr: 9.0451e-03 eta: 2 days, 10:54:57 time: 0.3923 data_time: 0.0166 memory: 17007 grad_norm: 5.4187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3827 loss: 2.3827 2022/07/27 08:31:34 - mmengine - INFO - Epoch(train) [37][1940/3757] lr: 9.0451e-03 eta: 2 days, 10:54:50 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 5.4749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5049 loss: 2.5049 2022/07/27 08:31:42 - mmengine - INFO - Epoch(train) [37][1960/3757] lr: 9.0451e-03 eta: 2 days, 10:54:41 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 5.6504 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 2.5292 loss: 2.5292 2022/07/27 08:31:49 - mmengine - INFO - Epoch(train) [37][1980/3757] lr: 9.0451e-03 eta: 2 days, 10:54:34 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 5.7403 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6145 loss: 2.6145 2022/07/27 08:31:57 - mmengine - INFO - Epoch(train) [37][2000/3757] lr: 9.0451e-03 eta: 2 days, 10:54:26 time: 0.3934 data_time: 0.0168 memory: 17007 grad_norm: 5.5905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4891 loss: 2.4891 2022/07/27 08:32:05 - mmengine - INFO - Epoch(train) [37][2020/3757] lr: 9.0451e-03 eta: 2 days, 10:54:18 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 5.6323 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7881 loss: 2.7881 2022/07/27 08:32:13 - mmengine - INFO - Epoch(train) [37][2040/3757] lr: 9.0451e-03 eta: 2 days, 10:54:10 time: 0.3985 data_time: 0.0162 memory: 17007 grad_norm: 5.4722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4211 loss: 2.4211 2022/07/27 08:32:21 - mmengine - INFO - Epoch(train) [37][2060/3757] lr: 9.0451e-03 eta: 2 days, 10:54:02 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 5.6889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3749 loss: 2.3749 2022/07/27 08:32:29 - mmengine - INFO - Epoch(train) [37][2080/3757] lr: 9.0451e-03 eta: 2 days, 10:53:54 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 5.5367 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3204 loss: 2.3204 2022/07/27 08:32:37 - mmengine - INFO - Epoch(train) [37][2100/3757] lr: 9.0451e-03 eta: 2 days, 10:53:47 time: 0.4037 data_time: 0.0151 memory: 17007 grad_norm: 5.7135 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8842 loss: 2.8842 2022/07/27 08:32:45 - mmengine - INFO - Epoch(train) [37][2120/3757] lr: 9.0451e-03 eta: 2 days, 10:53:40 time: 0.3944 data_time: 0.0170 memory: 17007 grad_norm: 5.6387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7945 loss: 2.7945 2022/07/27 08:32:53 - mmengine - INFO - Epoch(train) [37][2140/3757] lr: 9.0451e-03 eta: 2 days, 10:53:32 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 5.6440 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8874 loss: 2.8874 2022/07/27 08:33:01 - mmengine - INFO - Epoch(train) [37][2160/3757] lr: 9.0451e-03 eta: 2 days, 10:53:24 time: 0.3907 data_time: 0.0155 memory: 17007 grad_norm: 5.6176 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7223 loss: 2.7223 2022/07/27 08:33:08 - mmengine - INFO - Epoch(train) [37][2180/3757] lr: 9.0451e-03 eta: 2 days, 10:53:16 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 5.4991 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4852 loss: 2.4852 2022/07/27 08:33:16 - mmengine - INFO - Epoch(train) [37][2200/3757] lr: 9.0451e-03 eta: 2 days, 10:53:08 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 5.3670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8186 loss: 2.8186 2022/07/27 08:33:24 - mmengine - INFO - Epoch(train) [37][2220/3757] lr: 9.0451e-03 eta: 2 days, 10:53:00 time: 0.3957 data_time: 0.0168 memory: 17007 grad_norm: 5.4113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3139 loss: 2.3139 2022/07/27 08:33:32 - mmengine - INFO - Epoch(train) [37][2240/3757] lr: 9.0451e-03 eta: 2 days, 10:52:52 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 5.6587 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5717 loss: 2.5717 2022/07/27 08:33:40 - mmengine - INFO - Epoch(train) [37][2260/3757] lr: 9.0451e-03 eta: 2 days, 10:52:44 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 5.7314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4998 loss: 2.4998 2022/07/27 08:33:48 - mmengine - INFO - Epoch(train) [37][2280/3757] lr: 9.0451e-03 eta: 2 days, 10:52:37 time: 0.3936 data_time: 0.0171 memory: 17007 grad_norm: 5.7705 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9597 loss: 2.9597 2022/07/27 08:33:56 - mmengine - INFO - Epoch(train) [37][2300/3757] lr: 9.0451e-03 eta: 2 days, 10:52:29 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 5.4742 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8144 loss: 2.8144 2022/07/27 08:34:04 - mmengine - INFO - Epoch(train) [37][2320/3757] lr: 9.0451e-03 eta: 2 days, 10:52:21 time: 0.3940 data_time: 0.0171 memory: 17007 grad_norm: 5.6442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6577 loss: 2.6577 2022/07/27 08:34:11 - mmengine - INFO - Epoch(train) [37][2340/3757] lr: 9.0451e-03 eta: 2 days, 10:52:13 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 5.4953 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6568 loss: 2.6568 2022/07/27 08:34:20 - mmengine - INFO - Epoch(train) [37][2360/3757] lr: 9.0451e-03 eta: 2 days, 10:52:06 time: 0.4108 data_time: 0.0158 memory: 17007 grad_norm: 5.5210 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5384 loss: 2.5384 2022/07/27 08:34:27 - mmengine - INFO - Epoch(train) [37][2380/3757] lr: 9.0451e-03 eta: 2 days, 10:51:58 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 5.5541 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3937 loss: 2.3937 2022/07/27 08:34:35 - mmengine - INFO - Epoch(train) [37][2400/3757] lr: 9.0451e-03 eta: 2 days, 10:51:51 time: 0.3988 data_time: 0.0154 memory: 17007 grad_norm: 5.5980 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2913 loss: 2.2913 2022/07/27 08:34:43 - mmengine - INFO - Epoch(train) [37][2420/3757] lr: 9.0451e-03 eta: 2 days, 10:51:43 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.6904 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6801 loss: 2.6801 2022/07/27 08:34:51 - mmengine - INFO - Epoch(train) [37][2440/3757] lr: 9.0451e-03 eta: 2 days, 10:51:35 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 5.5877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6120 loss: 2.6120 2022/07/27 08:34:59 - mmengine - INFO - Epoch(train) [37][2460/3757] lr: 9.0451e-03 eta: 2 days, 10:51:28 time: 0.4063 data_time: 0.0170 memory: 17007 grad_norm: 5.6485 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5742 loss: 2.5742 2022/07/27 08:35:07 - mmengine - INFO - Epoch(train) [37][2480/3757] lr: 9.0451e-03 eta: 2 days, 10:51:20 time: 0.3935 data_time: 0.0168 memory: 17007 grad_norm: 5.7158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3101 loss: 2.3101 2022/07/27 08:35:15 - mmengine - INFO - Epoch(train) [37][2500/3757] lr: 9.0451e-03 eta: 2 days, 10:51:13 time: 0.4010 data_time: 0.0171 memory: 17007 grad_norm: 5.7459 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5344 loss: 2.5344 2022/07/27 08:35:23 - mmengine - INFO - Epoch(train) [37][2520/3757] lr: 9.0451e-03 eta: 2 days, 10:51:05 time: 0.3947 data_time: 0.0161 memory: 17007 grad_norm: 5.4266 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1659 loss: 2.1659 2022/07/27 08:35:31 - mmengine - INFO - Epoch(train) [37][2540/3757] lr: 9.0451e-03 eta: 2 days, 10:50:58 time: 0.3985 data_time: 0.0153 memory: 17007 grad_norm: 5.6047 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2737 loss: 2.2737 2022/07/27 08:35:39 - mmengine - INFO - Epoch(train) [37][2560/3757] lr: 9.0451e-03 eta: 2 days, 10:50:50 time: 0.3959 data_time: 0.0156 memory: 17007 grad_norm: 5.5291 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6748 loss: 2.6748 2022/07/27 08:35:47 - mmengine - INFO - Epoch(train) [37][2580/3757] lr: 9.0451e-03 eta: 2 days, 10:50:43 time: 0.3969 data_time: 0.0184 memory: 17007 grad_norm: 5.6533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6828 loss: 2.6828 2022/07/27 08:35:55 - mmengine - INFO - Epoch(train) [37][2600/3757] lr: 9.0451e-03 eta: 2 days, 10:50:35 time: 0.3975 data_time: 0.0160 memory: 17007 grad_norm: 5.6444 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6745 loss: 2.6745 2022/07/27 08:36:03 - mmengine - INFO - Epoch(train) [37][2620/3757] lr: 9.0451e-03 eta: 2 days, 10:50:27 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 5.5739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5877 loss: 2.5877 2022/07/27 08:36:11 - mmengine - INFO - Epoch(train) [37][2640/3757] lr: 9.0451e-03 eta: 2 days, 10:50:19 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.4194 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3733 loss: 2.3733 2022/07/27 08:36:19 - mmengine - INFO - Epoch(train) [37][2660/3757] lr: 9.0451e-03 eta: 2 days, 10:50:12 time: 0.4007 data_time: 0.0170 memory: 17007 grad_norm: 5.4322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6361 loss: 2.6361 2022/07/27 08:36:26 - mmengine - INFO - Epoch(train) [37][2680/3757] lr: 9.0451e-03 eta: 2 days, 10:50:04 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.5710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5505 loss: 2.5505 2022/07/27 08:36:35 - mmengine - INFO - Epoch(train) [37][2700/3757] lr: 9.0451e-03 eta: 2 days, 10:49:57 time: 0.4037 data_time: 0.0165 memory: 17007 grad_norm: 5.5841 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6848 loss: 2.6848 2022/07/27 08:36:42 - mmengine - INFO - Epoch(train) [37][2720/3757] lr: 9.0451e-03 eta: 2 days, 10:49:49 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.5764 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6478 loss: 2.6478 2022/07/27 08:36:50 - mmengine - INFO - Epoch(train) [37][2740/3757] lr: 9.0451e-03 eta: 2 days, 10:49:41 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 5.6874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5540 loss: 2.5540 2022/07/27 08:36:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:36:58 - mmengine - INFO - Epoch(train) [37][2760/3757] lr: 9.0451e-03 eta: 2 days, 10:49:33 time: 0.3948 data_time: 0.0168 memory: 17007 grad_norm: 5.4499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5036 loss: 2.5036 2022/07/27 08:37:06 - mmengine - INFO - Epoch(train) [37][2780/3757] lr: 9.0451e-03 eta: 2 days, 10:49:26 time: 0.3936 data_time: 0.0165 memory: 17007 grad_norm: 5.5286 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7058 loss: 2.7058 2022/07/27 08:37:14 - mmengine - INFO - Epoch(train) [37][2800/3757] lr: 9.0451e-03 eta: 2 days, 10:49:19 time: 0.4120 data_time: 0.0162 memory: 17007 grad_norm: 5.6530 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6410 loss: 2.6410 2022/07/27 08:37:22 - mmengine - INFO - Epoch(train) [37][2820/3757] lr: 9.0451e-03 eta: 2 days, 10:49:11 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 5.5284 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6875 loss: 2.6875 2022/07/27 08:37:30 - mmengine - INFO - Epoch(train) [37][2840/3757] lr: 9.0451e-03 eta: 2 days, 10:49:04 time: 0.3941 data_time: 0.0174 memory: 17007 grad_norm: 5.4512 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5885 loss: 2.5885 2022/07/27 08:37:38 - mmengine - INFO - Epoch(train) [37][2860/3757] lr: 9.0451e-03 eta: 2 days, 10:48:56 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 5.4772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8530 loss: 2.8530 2022/07/27 08:37:46 - mmengine - INFO - Epoch(train) [37][2880/3757] lr: 9.0451e-03 eta: 2 days, 10:48:48 time: 0.3942 data_time: 0.0174 memory: 17007 grad_norm: 5.8185 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7297 loss: 2.7297 2022/07/27 08:37:54 - mmengine - INFO - Epoch(train) [37][2900/3757] lr: 9.0451e-03 eta: 2 days, 10:48:41 time: 0.4058 data_time: 0.0149 memory: 17007 grad_norm: 5.4635 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9767 loss: 2.9767 2022/07/27 08:38:02 - mmengine - INFO - Epoch(train) [37][2920/3757] lr: 9.0451e-03 eta: 2 days, 10:48:33 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 5.8047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9215 loss: 2.9215 2022/07/27 08:38:10 - mmengine - INFO - Epoch(train) [37][2940/3757] lr: 9.0451e-03 eta: 2 days, 10:48:25 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 5.7118 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5112 loss: 2.5112 2022/07/27 08:38:18 - mmengine - INFO - Epoch(train) [37][2960/3757] lr: 9.0451e-03 eta: 2 days, 10:48:18 time: 0.3990 data_time: 0.0156 memory: 17007 grad_norm: 5.5496 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5186 loss: 2.5186 2022/07/27 08:38:26 - mmengine - INFO - Epoch(train) [37][2980/3757] lr: 9.0451e-03 eta: 2 days, 10:48:10 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 5.7265 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5370 loss: 2.5370 2022/07/27 08:38:33 - mmengine - INFO - Epoch(train) [37][3000/3757] lr: 9.0451e-03 eta: 2 days, 10:48:02 time: 0.3943 data_time: 0.0154 memory: 17007 grad_norm: 5.6178 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4201 loss: 2.4201 2022/07/27 08:38:41 - mmengine - INFO - Epoch(train) [37][3020/3757] lr: 9.0451e-03 eta: 2 days, 10:47:54 time: 0.3913 data_time: 0.0151 memory: 17007 grad_norm: 5.6752 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6933 loss: 2.6933 2022/07/27 08:38:49 - mmengine - INFO - Epoch(train) [37][3040/3757] lr: 9.0451e-03 eta: 2 days, 10:47:46 time: 0.3960 data_time: 0.0166 memory: 17007 grad_norm: 5.6532 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5912 loss: 2.5912 2022/07/27 08:38:57 - mmengine - INFO - Epoch(train) [37][3060/3757] lr: 9.0451e-03 eta: 2 days, 10:47:39 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 5.5996 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8794 loss: 2.8794 2022/07/27 08:39:05 - mmengine - INFO - Epoch(train) [37][3080/3757] lr: 9.0451e-03 eta: 2 days, 10:47:31 time: 0.3942 data_time: 0.0168 memory: 17007 grad_norm: 5.6429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5118 loss: 2.5118 2022/07/27 08:39:13 - mmengine - INFO - Epoch(train) [37][3100/3757] lr: 9.0451e-03 eta: 2 days, 10:47:23 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 5.6273 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6342 loss: 2.6342 2022/07/27 08:39:21 - mmengine - INFO - Epoch(train) [37][3120/3757] lr: 9.0451e-03 eta: 2 days, 10:47:15 time: 0.3936 data_time: 0.0165 memory: 17007 grad_norm: 5.6378 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7269 loss: 2.7269 2022/07/27 08:39:29 - mmengine - INFO - Epoch(train) [37][3140/3757] lr: 9.0451e-03 eta: 2 days, 10:47:07 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 5.5379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7775 loss: 2.7775 2022/07/27 08:39:36 - mmengine - INFO - Epoch(train) [37][3160/3757] lr: 9.0451e-03 eta: 2 days, 10:46:59 time: 0.3927 data_time: 0.0167 memory: 17007 grad_norm: 5.4197 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3146 loss: 2.3146 2022/07/27 08:39:44 - mmengine - INFO - Epoch(train) [37][3180/3757] lr: 9.0451e-03 eta: 2 days, 10:46:51 time: 0.3922 data_time: 0.0160 memory: 17007 grad_norm: 5.6399 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3711 loss: 2.3711 2022/07/27 08:39:52 - mmengine - INFO - Epoch(train) [37][3200/3757] lr: 9.0451e-03 eta: 2 days, 10:46:43 time: 0.3926 data_time: 0.0168 memory: 17007 grad_norm: 5.3790 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3724 loss: 2.3724 2022/07/27 08:40:00 - mmengine - INFO - Epoch(train) [37][3220/3757] lr: 9.0451e-03 eta: 2 days, 10:46:35 time: 0.3919 data_time: 0.0149 memory: 17007 grad_norm: 5.5404 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7899 loss: 2.7899 2022/07/27 08:40:08 - mmengine - INFO - Epoch(train) [37][3240/3757] lr: 9.0451e-03 eta: 2 days, 10:46:27 time: 0.3941 data_time: 0.0167 memory: 17007 grad_norm: 5.4480 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6675 loss: 2.6675 2022/07/27 08:40:16 - mmengine - INFO - Epoch(train) [37][3260/3757] lr: 9.0451e-03 eta: 2 days, 10:46:20 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 5.3384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5735 loss: 2.5735 2022/07/27 08:40:24 - mmengine - INFO - Epoch(train) [37][3280/3757] lr: 9.0451e-03 eta: 2 days, 10:46:12 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 5.5605 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4769 loss: 2.4769 2022/07/27 08:40:31 - mmengine - INFO - Epoch(train) [37][3300/3757] lr: 9.0451e-03 eta: 2 days, 10:46:04 time: 0.3921 data_time: 0.0143 memory: 17007 grad_norm: 5.5239 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6996 loss: 2.6996 2022/07/27 08:40:40 - mmengine - INFO - Epoch(train) [37][3320/3757] lr: 9.0451e-03 eta: 2 days, 10:45:57 time: 0.4020 data_time: 0.0153 memory: 17007 grad_norm: 5.6531 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5140 loss: 2.5140 2022/07/27 08:40:47 - mmengine - INFO - Epoch(train) [37][3340/3757] lr: 9.0451e-03 eta: 2 days, 10:45:49 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 5.4008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5559 loss: 2.5559 2022/07/27 08:40:55 - mmengine - INFO - Epoch(train) [37][3360/3757] lr: 9.0451e-03 eta: 2 days, 10:45:41 time: 0.3972 data_time: 0.0164 memory: 17007 grad_norm: 5.4745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6155 loss: 2.6155 2022/07/27 08:41:03 - mmengine - INFO - Epoch(train) [37][3380/3757] lr: 9.0451e-03 eta: 2 days, 10:45:33 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 5.5294 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2849 loss: 2.2849 2022/07/27 08:41:11 - mmengine - INFO - Epoch(train) [37][3400/3757] lr: 9.0451e-03 eta: 2 days, 10:45:25 time: 0.3938 data_time: 0.0172 memory: 17007 grad_norm: 5.6521 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7544 loss: 2.7544 2022/07/27 08:41:19 - mmengine - INFO - Epoch(train) [37][3420/3757] lr: 9.0451e-03 eta: 2 days, 10:45:17 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 5.3891 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7619 loss: 2.7619 2022/07/27 08:41:27 - mmengine - INFO - Epoch(train) [37][3440/3757] lr: 9.0451e-03 eta: 2 days, 10:45:10 time: 0.3933 data_time: 0.0161 memory: 17007 grad_norm: 5.4546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6306 loss: 2.6306 2022/07/27 08:41:35 - mmengine - INFO - Epoch(train) [37][3460/3757] lr: 9.0451e-03 eta: 2 days, 10:45:02 time: 0.3959 data_time: 0.0176 memory: 17007 grad_norm: 5.4980 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7002 loss: 2.7002 2022/07/27 08:41:43 - mmengine - INFO - Epoch(train) [37][3480/3757] lr: 9.0451e-03 eta: 2 days, 10:44:54 time: 0.3931 data_time: 0.0162 memory: 17007 grad_norm: 5.6173 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4356 loss: 2.4356 2022/07/27 08:41:51 - mmengine - INFO - Epoch(train) [37][3500/3757] lr: 9.0451e-03 eta: 2 days, 10:44:47 time: 0.4004 data_time: 0.0146 memory: 17007 grad_norm: 5.5224 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6947 loss: 2.6947 2022/07/27 08:41:58 - mmengine - INFO - Epoch(train) [37][3520/3757] lr: 9.0451e-03 eta: 2 days, 10:44:39 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 5.4639 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5411 loss: 2.5411 2022/07/27 08:42:06 - mmengine - INFO - Epoch(train) [37][3540/3757] lr: 9.0451e-03 eta: 2 days, 10:44:31 time: 0.3911 data_time: 0.0146 memory: 17007 grad_norm: 5.5301 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7196 loss: 2.7196 2022/07/27 08:42:14 - mmengine - INFO - Epoch(train) [37][3560/3757] lr: 9.0451e-03 eta: 2 days, 10:44:23 time: 0.4001 data_time: 0.0193 memory: 17007 grad_norm: 5.4195 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5125 loss: 2.5125 2022/07/27 08:42:22 - mmengine - INFO - Epoch(train) [37][3580/3757] lr: 9.0451e-03 eta: 2 days, 10:44:15 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 5.4102 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5528 loss: 2.5528 2022/07/27 08:42:30 - mmengine - INFO - Epoch(train) [37][3600/3757] lr: 9.0451e-03 eta: 2 days, 10:44:08 time: 0.3989 data_time: 0.0146 memory: 17007 grad_norm: 5.5804 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4534 loss: 2.4534 2022/07/27 08:42:38 - mmengine - INFO - Epoch(train) [37][3620/3757] lr: 9.0451e-03 eta: 2 days, 10:44:00 time: 0.3934 data_time: 0.0150 memory: 17007 grad_norm: 5.6671 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3538 loss: 2.3538 2022/07/27 08:42:46 - mmengine - INFO - Epoch(train) [37][3640/3757] lr: 9.0451e-03 eta: 2 days, 10:43:52 time: 0.3931 data_time: 0.0174 memory: 17007 grad_norm: 5.7213 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5415 loss: 2.5415 2022/07/27 08:42:54 - mmengine - INFO - Epoch(train) [37][3660/3757] lr: 9.0451e-03 eta: 2 days, 10:43:44 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 5.4528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6279 loss: 2.6279 2022/07/27 08:43:02 - mmengine - INFO - Epoch(train) [37][3680/3757] lr: 9.0451e-03 eta: 2 days, 10:43:37 time: 0.3946 data_time: 0.0170 memory: 17007 grad_norm: 5.4569 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6109 loss: 2.6109 2022/07/27 08:43:10 - mmengine - INFO - Epoch(train) [37][3700/3757] lr: 9.0451e-03 eta: 2 days, 10:43:29 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 5.5152 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3750 loss: 2.3750 2022/07/27 08:43:17 - mmengine - INFO - Epoch(train) [37][3720/3757] lr: 9.0451e-03 eta: 2 days, 10:43:21 time: 0.3963 data_time: 0.0163 memory: 17007 grad_norm: 5.6996 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9452 loss: 2.9452 2022/07/27 08:43:25 - mmengine - INFO - Epoch(train) [37][3740/3757] lr: 9.0451e-03 eta: 2 days, 10:43:13 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 5.5878 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4734 loss: 2.4734 2022/07/27 08:43:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:43:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:43:32 - mmengine - INFO - Epoch(train) [37][3757/3757] lr: 9.0451e-03 eta: 2 days, 10:43:13 time: 0.3885 data_time: 0.0161 memory: 17007 grad_norm: 5.6785 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.9609 loss: 2.9609 2022/07/27 08:43:32 - mmengine - INFO - Saving checkpoint at 37 epochs 2022/07/27 08:43:43 - mmengine - INFO - Epoch(train) [38][20/3757] lr: 8.9932e-03 eta: 2 days, 10:42:37 time: 0.4439 data_time: 0.0677 memory: 17007 grad_norm: 5.5647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7916 loss: 2.7916 2022/07/27 08:43:51 - mmengine - INFO - Epoch(train) [38][40/3757] lr: 8.9932e-03 eta: 2 days, 10:42:29 time: 0.3950 data_time: 0.0165 memory: 17007 grad_norm: 5.3998 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5019 loss: 2.5019 2022/07/27 08:43:59 - mmengine - INFO - Epoch(train) [38][60/3757] lr: 8.9932e-03 eta: 2 days, 10:42:21 time: 0.3947 data_time: 0.0172 memory: 17007 grad_norm: 5.6597 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.9232 loss: 2.9232 2022/07/27 08:44:07 - mmengine - INFO - Epoch(train) [38][80/3757] lr: 8.9932e-03 eta: 2 days, 10:42:14 time: 0.3945 data_time: 0.0169 memory: 17007 grad_norm: 5.5874 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4780 loss: 2.4780 2022/07/27 08:44:14 - mmengine - INFO - Epoch(train) [38][100/3757] lr: 8.9932e-03 eta: 2 days, 10:42:06 time: 0.3908 data_time: 0.0146 memory: 17007 grad_norm: 5.5457 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4227 loss: 2.4227 2022/07/27 08:44:22 - mmengine - INFO - Epoch(train) [38][120/3757] lr: 8.9932e-03 eta: 2 days, 10:41:58 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 5.6594 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6086 loss: 2.6086 2022/07/27 08:44:30 - mmengine - INFO - Epoch(train) [38][140/3757] lr: 8.9932e-03 eta: 2 days, 10:41:50 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 5.7412 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6716 loss: 2.6716 2022/07/27 08:44:38 - mmengine - INFO - Epoch(train) [38][160/3757] lr: 8.9932e-03 eta: 2 days, 10:41:42 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 5.5206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4740 loss: 2.4740 2022/07/27 08:44:46 - mmengine - INFO - Epoch(train) [38][180/3757] lr: 8.9932e-03 eta: 2 days, 10:41:34 time: 0.3968 data_time: 0.0151 memory: 17007 grad_norm: 5.6454 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6927 loss: 2.6927 2022/07/27 08:44:54 - mmengine - INFO - Epoch(train) [38][200/3757] lr: 8.9932e-03 eta: 2 days, 10:41:27 time: 0.3948 data_time: 0.0170 memory: 17007 grad_norm: 5.3966 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7397 loss: 2.7397 2022/07/27 08:45:02 - mmengine - INFO - Epoch(train) [38][220/3757] lr: 8.9932e-03 eta: 2 days, 10:41:19 time: 0.3924 data_time: 0.0145 memory: 17007 grad_norm: 5.7118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6929 loss: 2.6929 2022/07/27 08:45:10 - mmengine - INFO - Epoch(train) [38][240/3757] lr: 8.9932e-03 eta: 2 days, 10:41:11 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.4811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4478 loss: 2.4478 2022/07/27 08:45:17 - mmengine - INFO - Epoch(train) [38][260/3757] lr: 8.9932e-03 eta: 2 days, 10:41:03 time: 0.3915 data_time: 0.0147 memory: 17007 grad_norm: 5.5754 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6953 loss: 2.6953 2022/07/27 08:45:25 - mmengine - INFO - Epoch(train) [38][280/3757] lr: 8.9932e-03 eta: 2 days, 10:40:55 time: 0.3950 data_time: 0.0172 memory: 17007 grad_norm: 5.6118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4769 loss: 2.4769 2022/07/27 08:45:33 - mmengine - INFO - Epoch(train) [38][300/3757] lr: 8.9932e-03 eta: 2 days, 10:40:47 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 5.3025 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4699 loss: 2.4699 2022/07/27 08:45:41 - mmengine - INFO - Epoch(train) [38][320/3757] lr: 8.9932e-03 eta: 2 days, 10:40:39 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 5.4090 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5417 loss: 2.5417 2022/07/27 08:45:49 - mmengine - INFO - Epoch(train) [38][340/3757] lr: 8.9932e-03 eta: 2 days, 10:40:32 time: 0.3993 data_time: 0.0152 memory: 17007 grad_norm: 5.5194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1028 loss: 2.1028 2022/07/27 08:45:57 - mmengine - INFO - Epoch(train) [38][360/3757] lr: 8.9932e-03 eta: 2 days, 10:40:24 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.6807 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5070 loss: 2.5070 2022/07/27 08:46:05 - mmengine - INFO - Epoch(train) [38][380/3757] lr: 8.9932e-03 eta: 2 days, 10:40:17 time: 0.3994 data_time: 0.0167 memory: 17007 grad_norm: 5.5939 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.7483 loss: 2.7483 2022/07/27 08:46:13 - mmengine - INFO - Epoch(train) [38][400/3757] lr: 8.9932e-03 eta: 2 days, 10:40:09 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 5.6096 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7022 loss: 2.7022 2022/07/27 08:46:21 - mmengine - INFO - Epoch(train) [38][420/3757] lr: 8.9932e-03 eta: 2 days, 10:40:01 time: 0.3923 data_time: 0.0147 memory: 17007 grad_norm: 5.5481 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6731 loss: 2.6731 2022/07/27 08:46:29 - mmengine - INFO - Epoch(train) [38][440/3757] lr: 8.9932e-03 eta: 2 days, 10:39:53 time: 0.4006 data_time: 0.0171 memory: 17007 grad_norm: 5.4579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3040 loss: 2.3040 2022/07/27 08:46:36 - mmengine - INFO - Epoch(train) [38][460/3757] lr: 8.9932e-03 eta: 2 days, 10:39:46 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 5.4475 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1346 loss: 3.1346 2022/07/27 08:46:44 - mmengine - INFO - Epoch(train) [38][480/3757] lr: 8.9932e-03 eta: 2 days, 10:39:38 time: 0.3941 data_time: 0.0165 memory: 17007 grad_norm: 5.6757 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6624 loss: 2.6624 2022/07/27 08:46:52 - mmengine - INFO - Epoch(train) [38][500/3757] lr: 8.9932e-03 eta: 2 days, 10:39:30 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 5.4080 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8352 loss: 2.8352 2022/07/27 08:47:00 - mmengine - INFO - Epoch(train) [38][520/3757] lr: 8.9932e-03 eta: 2 days, 10:39:22 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 5.4878 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3533 loss: 2.3533 2022/07/27 08:47:08 - mmengine - INFO - Epoch(train) [38][540/3757] lr: 8.9932e-03 eta: 2 days, 10:39:14 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 5.5352 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3511 loss: 2.3511 2022/07/27 08:47:16 - mmengine - INFO - Epoch(train) [38][560/3757] lr: 8.9932e-03 eta: 2 days, 10:39:06 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 5.6342 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6670 loss: 2.6670 2022/07/27 08:47:24 - mmengine - INFO - Epoch(train) [38][580/3757] lr: 8.9932e-03 eta: 2 days, 10:38:58 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.4648 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3300 loss: 2.3300 2022/07/27 08:47:32 - mmengine - INFO - Epoch(train) [38][600/3757] lr: 8.9932e-03 eta: 2 days, 10:38:50 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.5694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5530 loss: 2.5530 2022/07/27 08:47:39 - mmengine - INFO - Epoch(train) [38][620/3757] lr: 8.9932e-03 eta: 2 days, 10:38:42 time: 0.3901 data_time: 0.0142 memory: 17007 grad_norm: 5.6189 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4927 loss: 2.4927 2022/07/27 08:47:47 - mmengine - INFO - Epoch(train) [38][640/3757] lr: 8.9932e-03 eta: 2 days, 10:38:34 time: 0.3919 data_time: 0.0165 memory: 17007 grad_norm: 5.6066 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4318 loss: 2.4318 2022/07/27 08:47:55 - mmengine - INFO - Epoch(train) [38][660/3757] lr: 8.9932e-03 eta: 2 days, 10:38:27 time: 0.4004 data_time: 0.0147 memory: 17007 grad_norm: 5.4835 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6021 loss: 2.6021 2022/07/27 08:48:03 - mmengine - INFO - Epoch(train) [38][680/3757] lr: 8.9932e-03 eta: 2 days, 10:38:19 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 5.5871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6004 loss: 2.6004 2022/07/27 08:48:11 - mmengine - INFO - Epoch(train) [38][700/3757] lr: 8.9932e-03 eta: 2 days, 10:38:11 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 5.3056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5710 loss: 2.5710 2022/07/27 08:48:19 - mmengine - INFO - Epoch(train) [38][720/3757] lr: 8.9932e-03 eta: 2 days, 10:38:03 time: 0.3936 data_time: 0.0176 memory: 17007 grad_norm: 5.7793 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5409 loss: 2.5409 2022/07/27 08:48:27 - mmengine - INFO - Epoch(train) [38][740/3757] lr: 8.9932e-03 eta: 2 days, 10:37:56 time: 0.4011 data_time: 0.0147 memory: 17007 grad_norm: 5.4422 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6692 loss: 2.6692 2022/07/27 08:48:35 - mmengine - INFO - Epoch(train) [38][760/3757] lr: 8.9932e-03 eta: 2 days, 10:37:49 time: 0.4002 data_time: 0.0188 memory: 17007 grad_norm: 5.4900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4352 loss: 2.4352 2022/07/27 08:48:43 - mmengine - INFO - Epoch(train) [38][780/3757] lr: 8.9932e-03 eta: 2 days, 10:37:41 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 5.5299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3786 loss: 2.3786 2022/07/27 08:48:51 - mmengine - INFO - Epoch(train) [38][800/3757] lr: 8.9932e-03 eta: 2 days, 10:37:33 time: 0.3972 data_time: 0.0157 memory: 17007 grad_norm: 5.4879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2542 loss: 2.2542 2022/07/27 08:48:58 - mmengine - INFO - Epoch(train) [38][820/3757] lr: 8.9932e-03 eta: 2 days, 10:37:25 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 5.6590 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5944 loss: 2.5944 2022/07/27 08:49:07 - mmengine - INFO - Epoch(train) [38][840/3757] lr: 8.9932e-03 eta: 2 days, 10:37:18 time: 0.4058 data_time: 0.0164 memory: 17007 grad_norm: 5.5171 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6665 loss: 2.6665 2022/07/27 08:49:14 - mmengine - INFO - Epoch(train) [38][860/3757] lr: 8.9932e-03 eta: 2 days, 10:37:10 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.6026 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6061 loss: 2.6061 2022/07/27 08:49:22 - mmengine - INFO - Epoch(train) [38][880/3757] lr: 8.9932e-03 eta: 2 days, 10:37:02 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.6416 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6343 loss: 2.6343 2022/07/27 08:49:30 - mmengine - INFO - Epoch(train) [38][900/3757] lr: 8.9932e-03 eta: 2 days, 10:36:55 time: 0.3934 data_time: 0.0148 memory: 17007 grad_norm: 5.5266 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6110 loss: 2.6110 2022/07/27 08:49:38 - mmengine - INFO - Epoch(train) [38][920/3757] lr: 8.9932e-03 eta: 2 days, 10:36:47 time: 0.3989 data_time: 0.0177 memory: 17007 grad_norm: 5.6311 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7910 loss: 2.7910 2022/07/27 08:49:46 - mmengine - INFO - Epoch(train) [38][940/3757] lr: 8.9932e-03 eta: 2 days, 10:36:40 time: 0.3970 data_time: 0.0165 memory: 17007 grad_norm: 5.5678 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5765 loss: 2.5765 2022/07/27 08:49:54 - mmengine - INFO - Epoch(train) [38][960/3757] lr: 8.9932e-03 eta: 2 days, 10:36:32 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 5.6099 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4907 loss: 2.4907 2022/07/27 08:50:02 - mmengine - INFO - Epoch(train) [38][980/3757] lr: 8.9932e-03 eta: 2 days, 10:36:24 time: 0.3969 data_time: 0.0167 memory: 17007 grad_norm: 5.5432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9371 loss: 2.9371 2022/07/27 08:50:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:50:10 - mmengine - INFO - Epoch(train) [38][1000/3757] lr: 8.9932e-03 eta: 2 days, 10:36:16 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 5.6298 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7767 loss: 2.7767 2022/07/27 08:50:18 - mmengine - INFO - Epoch(train) [38][1020/3757] lr: 8.9932e-03 eta: 2 days, 10:36:08 time: 0.3937 data_time: 0.0164 memory: 17007 grad_norm: 5.6616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3736 loss: 2.3736 2022/07/27 08:50:26 - mmengine - INFO - Epoch(train) [38][1040/3757] lr: 8.9932e-03 eta: 2 days, 10:36:00 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 5.7388 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6244 loss: 2.6244 2022/07/27 08:50:33 - mmengine - INFO - Epoch(train) [38][1060/3757] lr: 8.9932e-03 eta: 2 days, 10:35:52 time: 0.3910 data_time: 0.0143 memory: 17007 grad_norm: 5.6798 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6257 loss: 2.6257 2022/07/27 08:50:41 - mmengine - INFO - Epoch(train) [38][1080/3757] lr: 8.9932e-03 eta: 2 days, 10:35:44 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 5.5362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7413 loss: 2.7413 2022/07/27 08:50:49 - mmengine - INFO - Epoch(train) [38][1100/3757] lr: 8.9932e-03 eta: 2 days, 10:35:37 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 5.4722 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4399 loss: 2.4399 2022/07/27 08:50:57 - mmengine - INFO - Epoch(train) [38][1120/3757] lr: 8.9932e-03 eta: 2 days, 10:35:29 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 5.5736 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6490 loss: 2.6490 2022/07/27 08:51:05 - mmengine - INFO - Epoch(train) [38][1140/3757] lr: 8.9932e-03 eta: 2 days, 10:35:21 time: 0.3916 data_time: 0.0146 memory: 17007 grad_norm: 5.3927 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5071 loss: 2.5071 2022/07/27 08:51:13 - mmengine - INFO - Epoch(train) [38][1160/3757] lr: 8.9932e-03 eta: 2 days, 10:35:13 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 5.6536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6680 loss: 2.6680 2022/07/27 08:51:21 - mmengine - INFO - Epoch(train) [38][1180/3757] lr: 8.9932e-03 eta: 2 days, 10:35:05 time: 0.3922 data_time: 0.0160 memory: 17007 grad_norm: 5.8240 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7098 loss: 2.7098 2022/07/27 08:51:28 - mmengine - INFO - Epoch(train) [38][1200/3757] lr: 8.9932e-03 eta: 2 days, 10:34:57 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 5.9047 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3612 loss: 2.3612 2022/07/27 08:51:36 - mmengine - INFO - Epoch(train) [38][1220/3757] lr: 8.9932e-03 eta: 2 days, 10:34:49 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 5.4831 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5089 loss: 2.5089 2022/07/27 08:51:44 - mmengine - INFO - Epoch(train) [38][1240/3757] lr: 8.9932e-03 eta: 2 days, 10:34:41 time: 0.3917 data_time: 0.0151 memory: 17007 grad_norm: 5.4230 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9883 loss: 2.9883 2022/07/27 08:51:52 - mmengine - INFO - Epoch(train) [38][1260/3757] lr: 8.9932e-03 eta: 2 days, 10:34:33 time: 0.3915 data_time: 0.0145 memory: 17007 grad_norm: 5.5108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6569 loss: 2.6569 2022/07/27 08:52:00 - mmengine - INFO - Epoch(train) [38][1280/3757] lr: 8.9932e-03 eta: 2 days, 10:34:25 time: 0.3930 data_time: 0.0167 memory: 17007 grad_norm: 5.5323 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9075 loss: 2.9075 2022/07/27 08:52:08 - mmengine - INFO - Epoch(train) [38][1300/3757] lr: 8.9932e-03 eta: 2 days, 10:34:17 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 5.5103 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7886 loss: 2.7886 2022/07/27 08:52:16 - mmengine - INFO - Epoch(train) [38][1320/3757] lr: 8.9932e-03 eta: 2 days, 10:34:10 time: 0.4062 data_time: 0.0159 memory: 17007 grad_norm: 5.4043 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7318 loss: 2.7318 2022/07/27 08:52:24 - mmengine - INFO - Epoch(train) [38][1340/3757] lr: 8.9932e-03 eta: 2 days, 10:34:02 time: 0.3907 data_time: 0.0150 memory: 17007 grad_norm: 5.5705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3373 loss: 2.3373 2022/07/27 08:52:32 - mmengine - INFO - Epoch(train) [38][1360/3757] lr: 8.9932e-03 eta: 2 days, 10:33:55 time: 0.3982 data_time: 0.0171 memory: 17007 grad_norm: 5.4488 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6317 loss: 2.6317 2022/07/27 08:52:39 - mmengine - INFO - Epoch(train) [38][1380/3757] lr: 8.9932e-03 eta: 2 days, 10:33:47 time: 0.3921 data_time: 0.0136 memory: 17007 grad_norm: 5.7096 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5668 loss: 2.5668 2022/07/27 08:52:47 - mmengine - INFO - Epoch(train) [38][1400/3757] lr: 8.9932e-03 eta: 2 days, 10:33:39 time: 0.3963 data_time: 0.0177 memory: 17007 grad_norm: 5.4934 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5652 loss: 2.5652 2022/07/27 08:52:55 - mmengine - INFO - Epoch(train) [38][1420/3757] lr: 8.9932e-03 eta: 2 days, 10:33:31 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 5.7236 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4950 loss: 2.4950 2022/07/27 08:53:03 - mmengine - INFO - Epoch(train) [38][1440/3757] lr: 8.9932e-03 eta: 2 days, 10:33:24 time: 0.3954 data_time: 0.0184 memory: 17007 grad_norm: 5.6999 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8453 loss: 2.8453 2022/07/27 08:53:11 - mmengine - INFO - Epoch(train) [38][1460/3757] lr: 8.9932e-03 eta: 2 days, 10:33:16 time: 0.3918 data_time: 0.0147 memory: 17007 grad_norm: 5.5998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3396 loss: 2.3396 2022/07/27 08:53:19 - mmengine - INFO - Epoch(train) [38][1480/3757] lr: 8.9932e-03 eta: 2 days, 10:33:08 time: 0.3972 data_time: 0.0191 memory: 17007 grad_norm: 5.7328 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.6037 loss: 2.6037 2022/07/27 08:53:27 - mmengine - INFO - Epoch(train) [38][1500/3757] lr: 8.9932e-03 eta: 2 days, 10:33:00 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 5.6286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3200 loss: 2.3200 2022/07/27 08:53:35 - mmengine - INFO - Epoch(train) [38][1520/3757] lr: 8.9932e-03 eta: 2 days, 10:32:52 time: 0.3949 data_time: 0.0166 memory: 17007 grad_norm: 5.5539 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0411 loss: 2.0411 2022/07/27 08:53:43 - mmengine - INFO - Epoch(train) [38][1540/3757] lr: 8.9932e-03 eta: 2 days, 10:32:44 time: 0.3917 data_time: 0.0147 memory: 17007 grad_norm: 5.6576 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4291 loss: 2.4291 2022/07/27 08:53:50 - mmengine - INFO - Epoch(train) [38][1560/3757] lr: 8.9932e-03 eta: 2 days, 10:32:37 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.5682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4118 loss: 2.4118 2022/07/27 08:53:58 - mmengine - INFO - Epoch(train) [38][1580/3757] lr: 8.9932e-03 eta: 2 days, 10:32:29 time: 0.3949 data_time: 0.0160 memory: 17007 grad_norm: 5.3470 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5427 loss: 2.5427 2022/07/27 08:54:06 - mmengine - INFO - Epoch(train) [38][1600/3757] lr: 8.9932e-03 eta: 2 days, 10:32:21 time: 0.3934 data_time: 0.0171 memory: 17007 grad_norm: 5.4965 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6997 loss: 2.6997 2022/07/27 08:54:14 - mmengine - INFO - Epoch(train) [38][1620/3757] lr: 8.9932e-03 eta: 2 days, 10:32:13 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 5.5600 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4489 loss: 2.4489 2022/07/27 08:54:22 - mmengine - INFO - Epoch(train) [38][1640/3757] lr: 8.9932e-03 eta: 2 days, 10:32:05 time: 0.3950 data_time: 0.0161 memory: 17007 grad_norm: 5.5682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7118 loss: 2.7118 2022/07/27 08:54:30 - mmengine - INFO - Epoch(train) [38][1660/3757] lr: 8.9932e-03 eta: 2 days, 10:31:57 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 5.4796 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6919 loss: 2.6919 2022/07/27 08:54:38 - mmengine - INFO - Epoch(train) [38][1680/3757] lr: 8.9932e-03 eta: 2 days, 10:31:50 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 5.3904 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4964 loss: 2.4964 2022/07/27 08:54:46 - mmengine - INFO - Epoch(train) [38][1700/3757] lr: 8.9932e-03 eta: 2 days, 10:31:42 time: 0.3925 data_time: 0.0150 memory: 17007 grad_norm: 5.4453 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.6900 loss: 2.6900 2022/07/27 08:54:53 - mmengine - INFO - Epoch(train) [38][1720/3757] lr: 8.9932e-03 eta: 2 days, 10:31:34 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 5.7281 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8026 loss: 2.8026 2022/07/27 08:55:01 - mmengine - INFO - Epoch(train) [38][1740/3757] lr: 8.9932e-03 eta: 2 days, 10:31:26 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 5.4379 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6796 loss: 2.6796 2022/07/27 08:55:09 - mmengine - INFO - Epoch(train) [38][1760/3757] lr: 8.9932e-03 eta: 2 days, 10:31:19 time: 0.3985 data_time: 0.0174 memory: 17007 grad_norm: 5.6101 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7787 loss: 2.7787 2022/07/27 08:55:17 - mmengine - INFO - Epoch(train) [38][1780/3757] lr: 8.9932e-03 eta: 2 days, 10:31:11 time: 0.3974 data_time: 0.0165 memory: 17007 grad_norm: 5.6300 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5683 loss: 2.5683 2022/07/27 08:55:25 - mmengine - INFO - Epoch(train) [38][1800/3757] lr: 8.9932e-03 eta: 2 days, 10:31:03 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 5.7147 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6609 loss: 2.6609 2022/07/27 08:55:33 - mmengine - INFO - Epoch(train) [38][1820/3757] lr: 8.9932e-03 eta: 2 days, 10:30:55 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 5.5866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4689 loss: 2.4689 2022/07/27 08:55:41 - mmengine - INFO - Epoch(train) [38][1840/3757] lr: 8.9932e-03 eta: 2 days, 10:30:47 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.6789 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.9255 loss: 2.9255 2022/07/27 08:55:49 - mmengine - INFO - Epoch(train) [38][1860/3757] lr: 8.9932e-03 eta: 2 days, 10:30:39 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.6414 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5680 loss: 2.5680 2022/07/27 08:55:57 - mmengine - INFO - Epoch(train) [38][1880/3757] lr: 8.9932e-03 eta: 2 days, 10:30:32 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 5.4353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5061 loss: 2.5061 2022/07/27 08:56:05 - mmengine - INFO - Epoch(train) [38][1900/3757] lr: 8.9932e-03 eta: 2 days, 10:30:24 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 5.4974 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4762 loss: 2.4762 2022/07/27 08:56:12 - mmengine - INFO - Epoch(train) [38][1920/3757] lr: 8.9932e-03 eta: 2 days, 10:30:16 time: 0.3927 data_time: 0.0156 memory: 17007 grad_norm: 5.8091 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7465 loss: 2.7465 2022/07/27 08:56:20 - mmengine - INFO - Epoch(train) [38][1940/3757] lr: 8.9932e-03 eta: 2 days, 10:30:08 time: 0.3942 data_time: 0.0162 memory: 17007 grad_norm: 5.6355 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.7931 loss: 2.7931 2022/07/27 08:56:28 - mmengine - INFO - Epoch(train) [38][1960/3757] lr: 8.9932e-03 eta: 2 days, 10:30:00 time: 0.3931 data_time: 0.0168 memory: 17007 grad_norm: 5.6236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5670 loss: 2.5670 2022/07/27 08:56:36 - mmengine - INFO - Epoch(train) [38][1980/3757] lr: 8.9932e-03 eta: 2 days, 10:29:52 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 5.6206 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6242 loss: 2.6242 2022/07/27 08:56:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 08:56:44 - mmengine - INFO - Epoch(train) [38][2000/3757] lr: 8.9932e-03 eta: 2 days, 10:29:44 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 5.5136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7013 loss: 2.7013 2022/07/27 08:56:52 - mmengine - INFO - Epoch(train) [38][2020/3757] lr: 8.9932e-03 eta: 2 days, 10:29:36 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 5.6142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6813 loss: 2.6813 2022/07/27 08:57:00 - mmengine - INFO - Epoch(train) [38][2040/3757] lr: 8.9932e-03 eta: 2 days, 10:29:29 time: 0.3974 data_time: 0.0158 memory: 17007 grad_norm: 5.6108 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5840 loss: 2.5840 2022/07/27 08:57:08 - mmengine - INFO - Epoch(train) [38][2060/3757] lr: 8.9932e-03 eta: 2 days, 10:29:21 time: 0.3959 data_time: 0.0151 memory: 17007 grad_norm: 5.4749 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5830 loss: 2.5830 2022/07/27 08:57:16 - mmengine - INFO - Epoch(train) [38][2080/3757] lr: 8.9932e-03 eta: 2 days, 10:29:13 time: 0.3955 data_time: 0.0163 memory: 17007 grad_norm: 5.5685 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0313 loss: 3.0313 2022/07/27 08:57:23 - mmengine - INFO - Epoch(train) [38][2100/3757] lr: 8.9932e-03 eta: 2 days, 10:29:06 time: 0.3930 data_time: 0.0164 memory: 17007 grad_norm: 5.4953 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6442 loss: 2.6442 2022/07/27 08:57:31 - mmengine - INFO - Epoch(train) [38][2120/3757] lr: 8.9932e-03 eta: 2 days, 10:28:58 time: 0.3930 data_time: 0.0170 memory: 17007 grad_norm: 5.5441 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7330 loss: 2.7330 2022/07/27 08:57:39 - mmengine - INFO - Epoch(train) [38][2140/3757] lr: 8.9932e-03 eta: 2 days, 10:28:50 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.3983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6002 loss: 2.6002 2022/07/27 08:57:47 - mmengine - INFO - Epoch(train) [38][2160/3757] lr: 8.9932e-03 eta: 2 days, 10:28:42 time: 0.3924 data_time: 0.0170 memory: 17007 grad_norm: 5.6499 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3881 loss: 2.3881 2022/07/27 08:57:55 - mmengine - INFO - Epoch(train) [38][2180/3757] lr: 8.9932e-03 eta: 2 days, 10:28:35 time: 0.4003 data_time: 0.0155 memory: 17007 grad_norm: 5.7637 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6673 loss: 2.6673 2022/07/27 08:58:03 - mmengine - INFO - Epoch(train) [38][2200/3757] lr: 8.9932e-03 eta: 2 days, 10:28:27 time: 0.3930 data_time: 0.0165 memory: 17007 grad_norm: 5.5295 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6358 loss: 2.6358 2022/07/27 08:58:11 - mmengine - INFO - Epoch(train) [38][2220/3757] lr: 8.9932e-03 eta: 2 days, 10:28:19 time: 0.3914 data_time: 0.0146 memory: 17007 grad_norm: 5.4015 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6351 loss: 2.6351 2022/07/27 08:58:19 - mmengine - INFO - Epoch(train) [38][2240/3757] lr: 8.9932e-03 eta: 2 days, 10:28:11 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.6659 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7724 loss: 2.7724 2022/07/27 08:58:27 - mmengine - INFO - Epoch(train) [38][2260/3757] lr: 8.9932e-03 eta: 2 days, 10:28:03 time: 0.3973 data_time: 0.0161 memory: 17007 grad_norm: 5.5674 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5985 loss: 2.5985 2022/07/27 08:58:34 - mmengine - INFO - Epoch(train) [38][2280/3757] lr: 8.9932e-03 eta: 2 days, 10:27:55 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 5.5137 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1672 loss: 2.1672 2022/07/27 08:58:42 - mmengine - INFO - Epoch(train) [38][2300/3757] lr: 8.9932e-03 eta: 2 days, 10:27:48 time: 0.3933 data_time: 0.0135 memory: 17007 grad_norm: 5.7292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4273 loss: 2.4273 2022/07/27 08:58:50 - mmengine - INFO - Epoch(train) [38][2320/3757] lr: 8.9932e-03 eta: 2 days, 10:27:40 time: 0.4001 data_time: 0.0161 memory: 17007 grad_norm: 5.6313 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6566 loss: 2.6566 2022/07/27 08:58:58 - mmengine - INFO - Epoch(train) [38][2340/3757] lr: 8.9932e-03 eta: 2 days, 10:27:33 time: 0.3964 data_time: 0.0169 memory: 17007 grad_norm: 5.6390 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7888 loss: 2.7888 2022/07/27 08:59:06 - mmengine - INFO - Epoch(train) [38][2360/3757] lr: 8.9932e-03 eta: 2 days, 10:27:25 time: 0.3992 data_time: 0.0169 memory: 17007 grad_norm: 5.5588 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5529 loss: 2.5529 2022/07/27 08:59:14 - mmengine - INFO - Epoch(train) [38][2380/3757] lr: 8.9932e-03 eta: 2 days, 10:27:17 time: 0.3914 data_time: 0.0150 memory: 17007 grad_norm: 5.7210 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3198 loss: 2.3198 2022/07/27 08:59:22 - mmengine - INFO - Epoch(train) [38][2400/3757] lr: 8.9932e-03 eta: 2 days, 10:27:09 time: 0.3962 data_time: 0.0163 memory: 17007 grad_norm: 5.6686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3134 loss: 2.3134 2022/07/27 08:59:30 - mmengine - INFO - Epoch(train) [38][2420/3757] lr: 8.9932e-03 eta: 2 days, 10:27:02 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 5.5786 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5833 loss: 2.5833 2022/07/27 08:59:38 - mmengine - INFO - Epoch(train) [38][2440/3757] lr: 8.9932e-03 eta: 2 days, 10:26:55 time: 0.4086 data_time: 0.0174 memory: 17007 grad_norm: 5.7014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8237 loss: 2.8237 2022/07/27 08:59:46 - mmengine - INFO - Epoch(train) [38][2460/3757] lr: 8.9932e-03 eta: 2 days, 10:26:47 time: 0.3923 data_time: 0.0163 memory: 17007 grad_norm: 5.4892 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4200 loss: 2.4200 2022/07/27 08:59:54 - mmengine - INFO - Epoch(train) [38][2480/3757] lr: 8.9932e-03 eta: 2 days, 10:26:39 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.5073 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1338 loss: 2.1338 2022/07/27 09:00:02 - mmengine - INFO - Epoch(train) [38][2500/3757] lr: 8.9932e-03 eta: 2 days, 10:26:33 time: 0.4192 data_time: 0.0159 memory: 17007 grad_norm: 5.6168 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.8133 loss: 2.8133 2022/07/27 09:00:10 - mmengine - INFO - Epoch(train) [38][2520/3757] lr: 8.9932e-03 eta: 2 days, 10:26:25 time: 0.3941 data_time: 0.0177 memory: 17007 grad_norm: 5.4485 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5699 loss: 2.5699 2022/07/27 09:00:18 - mmengine - INFO - Epoch(train) [38][2540/3757] lr: 8.9932e-03 eta: 2 days, 10:26:17 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 5.4931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5032 loss: 2.5032 2022/07/27 09:00:26 - mmengine - INFO - Epoch(train) [38][2560/3757] lr: 8.9932e-03 eta: 2 days, 10:26:10 time: 0.3937 data_time: 0.0169 memory: 17007 grad_norm: 5.6824 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6146 loss: 2.6146 2022/07/27 09:00:34 - mmengine - INFO - Epoch(train) [38][2580/3757] lr: 8.9932e-03 eta: 2 days, 10:26:02 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 5.6551 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6223 loss: 2.6223 2022/07/27 09:00:42 - mmengine - INFO - Epoch(train) [38][2600/3757] lr: 8.9932e-03 eta: 2 days, 10:25:54 time: 0.4038 data_time: 0.0159 memory: 17007 grad_norm: 5.6547 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7122 loss: 2.7122 2022/07/27 09:00:50 - mmengine - INFO - Epoch(train) [38][2620/3757] lr: 8.9932e-03 eta: 2 days, 10:25:47 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 5.5435 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5097 loss: 2.5097 2022/07/27 09:00:58 - mmengine - INFO - Epoch(train) [38][2640/3757] lr: 8.9932e-03 eta: 2 days, 10:25:39 time: 0.3985 data_time: 0.0162 memory: 17007 grad_norm: 5.5034 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2701 loss: 2.2701 2022/07/27 09:01:05 - mmengine - INFO - Epoch(train) [38][2660/3757] lr: 8.9932e-03 eta: 2 days, 10:25:31 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 5.7095 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6798 loss: 2.6798 2022/07/27 09:01:13 - mmengine - INFO - Epoch(train) [38][2680/3757] lr: 8.9932e-03 eta: 2 days, 10:25:23 time: 0.3924 data_time: 0.0159 memory: 17007 grad_norm: 5.7096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6355 loss: 2.6355 2022/07/27 09:01:21 - mmengine - INFO - Epoch(train) [38][2700/3757] lr: 8.9932e-03 eta: 2 days, 10:25:16 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 5.6285 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7046 loss: 2.7046 2022/07/27 09:01:29 - mmengine - INFO - Epoch(train) [38][2720/3757] lr: 8.9932e-03 eta: 2 days, 10:25:08 time: 0.3946 data_time: 0.0171 memory: 17007 grad_norm: 5.6272 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3002 loss: 2.3002 2022/07/27 09:01:37 - mmengine - INFO - Epoch(train) [38][2740/3757] lr: 8.9932e-03 eta: 2 days, 10:25:01 time: 0.4018 data_time: 0.0147 memory: 17007 grad_norm: 5.6906 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4181 loss: 2.4181 2022/07/27 09:01:45 - mmengine - INFO - Epoch(train) [38][2760/3757] lr: 8.9932e-03 eta: 2 days, 10:24:53 time: 0.3940 data_time: 0.0163 memory: 17007 grad_norm: 5.5726 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5237 loss: 2.5237 2022/07/27 09:01:53 - mmengine - INFO - Epoch(train) [38][2780/3757] lr: 8.9932e-03 eta: 2 days, 10:24:45 time: 0.3970 data_time: 0.0141 memory: 17007 grad_norm: 5.7157 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5224 loss: 2.5224 2022/07/27 09:02:01 - mmengine - INFO - Epoch(train) [38][2800/3757] lr: 8.9932e-03 eta: 2 days, 10:24:37 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.4234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3600 loss: 2.3600 2022/07/27 09:02:09 - mmengine - INFO - Epoch(train) [38][2820/3757] lr: 8.9932e-03 eta: 2 days, 10:24:30 time: 0.3981 data_time: 0.0178 memory: 17007 grad_norm: 5.4968 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6108 loss: 2.6108 2022/07/27 09:02:17 - mmengine - INFO - Epoch(train) [38][2840/3757] lr: 8.9932e-03 eta: 2 days, 10:24:22 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 5.5805 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7852 loss: 2.7852 2022/07/27 09:02:24 - mmengine - INFO - Epoch(train) [38][2860/3757] lr: 8.9932e-03 eta: 2 days, 10:24:14 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 5.4817 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4279 loss: 2.4279 2022/07/27 09:02:32 - mmengine - INFO - Epoch(train) [38][2880/3757] lr: 8.9932e-03 eta: 2 days, 10:24:06 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 5.6931 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6396 loss: 2.6396 2022/07/27 09:02:40 - mmengine - INFO - Epoch(train) [38][2900/3757] lr: 8.9932e-03 eta: 2 days, 10:23:58 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 5.7436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4028 loss: 2.4028 2022/07/27 09:02:48 - mmengine - INFO - Epoch(train) [38][2920/3757] lr: 8.9932e-03 eta: 2 days, 10:23:50 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 5.5691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7329 loss: 2.7329 2022/07/27 09:02:56 - mmengine - INFO - Epoch(train) [38][2940/3757] lr: 8.9932e-03 eta: 2 days, 10:23:42 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.5165 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5513 loss: 2.5513 2022/07/27 09:03:04 - mmengine - INFO - Epoch(train) [38][2960/3757] lr: 8.9932e-03 eta: 2 days, 10:23:34 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 5.5185 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4821 loss: 2.4821 2022/07/27 09:03:12 - mmengine - INFO - Epoch(train) [38][2980/3757] lr: 8.9932e-03 eta: 2 days, 10:23:27 time: 0.3975 data_time: 0.0142 memory: 17007 grad_norm: 5.7692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2519 loss: 2.2519 2022/07/27 09:03:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:03:20 - mmengine - INFO - Epoch(train) [38][3000/3757] lr: 8.9932e-03 eta: 2 days, 10:23:19 time: 0.3999 data_time: 0.0161 memory: 17007 grad_norm: 5.6249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8422 loss: 2.8422 2022/07/27 09:03:28 - mmengine - INFO - Epoch(train) [38][3020/3757] lr: 8.9932e-03 eta: 2 days, 10:23:11 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 5.4199 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6180 loss: 2.6180 2022/07/27 09:03:36 - mmengine - INFO - Epoch(train) [38][3040/3757] lr: 8.9932e-03 eta: 2 days, 10:23:04 time: 0.3955 data_time: 0.0162 memory: 17007 grad_norm: 5.3961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1501 loss: 2.1501 2022/07/27 09:03:43 - mmengine - INFO - Epoch(train) [38][3060/3757] lr: 8.9932e-03 eta: 2 days, 10:22:56 time: 0.3909 data_time: 0.0148 memory: 17007 grad_norm: 5.7371 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7912 loss: 2.7912 2022/07/27 09:03:51 - mmengine - INFO - Epoch(train) [38][3080/3757] lr: 8.9932e-03 eta: 2 days, 10:22:48 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 5.6053 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5040 loss: 2.5040 2022/07/27 09:03:59 - mmengine - INFO - Epoch(train) [38][3100/3757] lr: 8.9932e-03 eta: 2 days, 10:22:41 time: 0.4142 data_time: 0.0164 memory: 17007 grad_norm: 5.4138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2357 loss: 2.2357 2022/07/27 09:04:07 - mmengine - INFO - Epoch(train) [38][3120/3757] lr: 8.9932e-03 eta: 2 days, 10:22:34 time: 0.3937 data_time: 0.0165 memory: 17007 grad_norm: 5.4968 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5264 loss: 2.5264 2022/07/27 09:04:15 - mmengine - INFO - Epoch(train) [38][3140/3757] lr: 8.9932e-03 eta: 2 days, 10:22:26 time: 0.3987 data_time: 0.0144 memory: 17007 grad_norm: 5.7589 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6535 loss: 2.6535 2022/07/27 09:04:23 - mmengine - INFO - Epoch(train) [38][3160/3757] lr: 8.9932e-03 eta: 2 days, 10:22:18 time: 0.3935 data_time: 0.0168 memory: 17007 grad_norm: 5.7477 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3545 loss: 2.3545 2022/07/27 09:04:31 - mmengine - INFO - Epoch(train) [38][3180/3757] lr: 8.9932e-03 eta: 2 days, 10:22:10 time: 0.3917 data_time: 0.0151 memory: 17007 grad_norm: 5.6471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5180 loss: 2.5180 2022/07/27 09:04:39 - mmengine - INFO - Epoch(train) [38][3200/3757] lr: 8.9932e-03 eta: 2 days, 10:22:03 time: 0.4049 data_time: 0.0183 memory: 17007 grad_norm: 5.7449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7789 loss: 2.7789 2022/07/27 09:04:47 - mmengine - INFO - Epoch(train) [38][3220/3757] lr: 8.9932e-03 eta: 2 days, 10:21:56 time: 0.3986 data_time: 0.0160 memory: 17007 grad_norm: 5.8177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3885 loss: 2.3885 2022/07/27 09:04:55 - mmengine - INFO - Epoch(train) [38][3240/3757] lr: 8.9932e-03 eta: 2 days, 10:21:48 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.7529 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5615 loss: 2.5615 2022/07/27 09:05:03 - mmengine - INFO - Epoch(train) [38][3260/3757] lr: 8.9932e-03 eta: 2 days, 10:21:40 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 5.5015 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4439 loss: 2.4439 2022/07/27 09:05:11 - mmengine - INFO - Epoch(train) [38][3280/3757] lr: 8.9932e-03 eta: 2 days, 10:21:32 time: 0.3986 data_time: 0.0182 memory: 17007 grad_norm: 5.5292 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6579 loss: 2.6579 2022/07/27 09:05:19 - mmengine - INFO - Epoch(train) [38][3300/3757] lr: 8.9932e-03 eta: 2 days, 10:21:25 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 5.8257 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6552 loss: 2.6552 2022/07/27 09:05:27 - mmengine - INFO - Epoch(train) [38][3320/3757] lr: 8.9932e-03 eta: 2 days, 10:21:17 time: 0.3945 data_time: 0.0165 memory: 17007 grad_norm: 5.6607 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4601 loss: 2.4601 2022/07/27 09:05:34 - mmengine - INFO - Epoch(train) [38][3340/3757] lr: 8.9932e-03 eta: 2 days, 10:21:09 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 5.5364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3062 loss: 2.3062 2022/07/27 09:05:42 - mmengine - INFO - Epoch(train) [38][3360/3757] lr: 8.9932e-03 eta: 2 days, 10:21:01 time: 0.3933 data_time: 0.0169 memory: 17007 grad_norm: 5.6412 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7183 loss: 2.7183 2022/07/27 09:05:50 - mmengine - INFO - Epoch(train) [38][3380/3757] lr: 8.9932e-03 eta: 2 days, 10:20:53 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.4571 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6511 loss: 2.6511 2022/07/27 09:05:58 - mmengine - INFO - Epoch(train) [38][3400/3757] lr: 8.9932e-03 eta: 2 days, 10:20:45 time: 0.3950 data_time: 0.0177 memory: 17007 grad_norm: 5.5835 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4263 loss: 2.4263 2022/07/27 09:06:06 - mmengine - INFO - Epoch(train) [38][3420/3757] lr: 8.9932e-03 eta: 2 days, 10:20:37 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 5.4818 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4960 loss: 2.4960 2022/07/27 09:06:14 - mmengine - INFO - Epoch(train) [38][3440/3757] lr: 8.9932e-03 eta: 2 days, 10:20:29 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 5.6923 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7774 loss: 2.7774 2022/07/27 09:06:22 - mmengine - INFO - Epoch(train) [38][3460/3757] lr: 8.9932e-03 eta: 2 days, 10:20:22 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 5.7149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3504 loss: 2.3504 2022/07/27 09:06:30 - mmengine - INFO - Epoch(train) [38][3480/3757] lr: 8.9932e-03 eta: 2 days, 10:20:14 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 5.7288 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5474 loss: 2.5474 2022/07/27 09:06:37 - mmengine - INFO - Epoch(train) [38][3500/3757] lr: 8.9932e-03 eta: 2 days, 10:20:06 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 5.5175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7008 loss: 2.7008 2022/07/27 09:06:45 - mmengine - INFO - Epoch(train) [38][3520/3757] lr: 8.9932e-03 eta: 2 days, 10:19:58 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 5.5361 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3436 loss: 2.3436 2022/07/27 09:06:54 - mmengine - INFO - Epoch(train) [38][3540/3757] lr: 8.9932e-03 eta: 2 days, 10:19:52 time: 0.4146 data_time: 0.0164 memory: 17007 grad_norm: 5.5859 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6530 loss: 2.6530 2022/07/27 09:07:01 - mmengine - INFO - Epoch(train) [38][3560/3757] lr: 8.9932e-03 eta: 2 days, 10:19:44 time: 0.3934 data_time: 0.0165 memory: 17007 grad_norm: 5.5918 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5190 loss: 2.5190 2022/07/27 09:07:09 - mmengine - INFO - Epoch(train) [38][3580/3757] lr: 8.9932e-03 eta: 2 days, 10:19:36 time: 0.3933 data_time: 0.0161 memory: 17007 grad_norm: 5.5415 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7121 loss: 2.7121 2022/07/27 09:07:17 - mmengine - INFO - Epoch(train) [38][3600/3757] lr: 8.9932e-03 eta: 2 days, 10:19:28 time: 0.3950 data_time: 0.0168 memory: 17007 grad_norm: 5.5637 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4109 loss: 2.4109 2022/07/27 09:07:25 - mmengine - INFO - Epoch(train) [38][3620/3757] lr: 8.9932e-03 eta: 2 days, 10:19:20 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.6736 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4315 loss: 2.4315 2022/07/27 09:07:33 - mmengine - INFO - Epoch(train) [38][3640/3757] lr: 8.9932e-03 eta: 2 days, 10:19:13 time: 0.3978 data_time: 0.0162 memory: 17007 grad_norm: 5.4951 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5386 loss: 2.5386 2022/07/27 09:07:41 - mmengine - INFO - Epoch(train) [38][3660/3757] lr: 8.9932e-03 eta: 2 days, 10:19:05 time: 0.3916 data_time: 0.0154 memory: 17007 grad_norm: 5.7657 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5753 loss: 2.5753 2022/07/27 09:07:49 - mmengine - INFO - Epoch(train) [38][3680/3757] lr: 8.9932e-03 eta: 2 days, 10:18:57 time: 0.3952 data_time: 0.0172 memory: 17007 grad_norm: 5.7004 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3514 loss: 2.3514 2022/07/27 09:07:57 - mmengine - INFO - Epoch(train) [38][3700/3757] lr: 8.9932e-03 eta: 2 days, 10:18:49 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 5.6291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6044 loss: 2.6044 2022/07/27 09:08:05 - mmengine - INFO - Epoch(train) [38][3720/3757] lr: 8.9932e-03 eta: 2 days, 10:18:41 time: 0.3922 data_time: 0.0163 memory: 17007 grad_norm: 5.6476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6061 loss: 2.6061 2022/07/27 09:08:12 - mmengine - INFO - Epoch(train) [38][3740/3757] lr: 8.9932e-03 eta: 2 days, 10:18:34 time: 0.3985 data_time: 0.0148 memory: 17007 grad_norm: 5.7765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4092 loss: 2.4092 2022/07/27 09:08:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:08:19 - mmengine - INFO - Epoch(train) [38][3757/3757] lr: 8.9932e-03 eta: 2 days, 10:18:34 time: 0.3892 data_time: 0.0154 memory: 17007 grad_norm: 5.8153 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.7657 loss: 2.7657 2022/07/27 09:08:19 - mmengine - INFO - Saving checkpoint at 38 epochs 2022/07/27 09:08:30 - mmengine - INFO - Epoch(train) [39][20/3757] lr: 8.9401e-03 eta: 2 days, 10:17:58 time: 0.4458 data_time: 0.0667 memory: 17007 grad_norm: 5.3879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4915 loss: 2.4915 2022/07/27 09:08:38 - mmengine - INFO - Epoch(train) [39][40/3757] lr: 8.9401e-03 eta: 2 days, 10:17:50 time: 0.3968 data_time: 0.0193 memory: 17007 grad_norm: 5.7979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8785 loss: 2.8785 2022/07/27 09:08:46 - mmengine - INFO - Epoch(train) [39][60/3757] lr: 8.9401e-03 eta: 2 days, 10:17:42 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 5.4742 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6599 loss: 2.6599 2022/07/27 09:08:54 - mmengine - INFO - Epoch(train) [39][80/3757] lr: 8.9401e-03 eta: 2 days, 10:17:34 time: 0.3932 data_time: 0.0164 memory: 17007 grad_norm: 5.5420 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2603 loss: 2.2603 2022/07/27 09:09:02 - mmengine - INFO - Epoch(train) [39][100/3757] lr: 8.9401e-03 eta: 2 days, 10:17:27 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 5.7619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5360 loss: 2.5360 2022/07/27 09:09:10 - mmengine - INFO - Epoch(train) [39][120/3757] lr: 8.9401e-03 eta: 2 days, 10:17:19 time: 0.3931 data_time: 0.0162 memory: 17007 grad_norm: 5.6659 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8588 loss: 2.8588 2022/07/27 09:09:17 - mmengine - INFO - Epoch(train) [39][140/3757] lr: 8.9401e-03 eta: 2 days, 10:17:11 time: 0.3946 data_time: 0.0150 memory: 17007 grad_norm: 5.5519 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6069 loss: 2.6069 2022/07/27 09:09:25 - mmengine - INFO - Epoch(train) [39][160/3757] lr: 8.9401e-03 eta: 2 days, 10:17:03 time: 0.3914 data_time: 0.0160 memory: 17007 grad_norm: 5.5289 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1407 loss: 2.1407 2022/07/27 09:09:33 - mmengine - INFO - Epoch(train) [39][180/3757] lr: 8.9401e-03 eta: 2 days, 10:16:55 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 5.8224 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8675 loss: 2.8675 2022/07/27 09:09:41 - mmengine - INFO - Epoch(train) [39][200/3757] lr: 8.9401e-03 eta: 2 days, 10:16:47 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 5.6608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5946 loss: 2.5946 2022/07/27 09:09:49 - mmengine - INFO - Epoch(train) [39][220/3757] lr: 8.9401e-03 eta: 2 days, 10:16:40 time: 0.3965 data_time: 0.0174 memory: 17007 grad_norm: 5.6207 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8053 loss: 2.8053 2022/07/27 09:09:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:09:57 - mmengine - INFO - Epoch(train) [39][240/3757] lr: 8.9401e-03 eta: 2 days, 10:16:32 time: 0.3937 data_time: 0.0174 memory: 17007 grad_norm: 5.5159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4521 loss: 2.4521 2022/07/27 09:10:05 - mmengine - INFO - Epoch(train) [39][260/3757] lr: 8.9401e-03 eta: 2 days, 10:16:24 time: 0.3915 data_time: 0.0163 memory: 17007 grad_norm: 5.5371 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3594 loss: 2.3594 2022/07/27 09:10:13 - mmengine - INFO - Epoch(train) [39][280/3757] lr: 8.9401e-03 eta: 2 days, 10:16:16 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 5.7446 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5662 loss: 2.5662 2022/07/27 09:10:20 - mmengine - INFO - Epoch(train) [39][300/3757] lr: 8.9401e-03 eta: 2 days, 10:16:08 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 5.6772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1959 loss: 2.1959 2022/07/27 09:10:28 - mmengine - INFO - Epoch(train) [39][320/3757] lr: 8.9401e-03 eta: 2 days, 10:16:00 time: 0.3946 data_time: 0.0168 memory: 17007 grad_norm: 5.3359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5646 loss: 2.5646 2022/07/27 09:10:36 - mmengine - INFO - Epoch(train) [39][340/3757] lr: 8.9401e-03 eta: 2 days, 10:15:52 time: 0.3931 data_time: 0.0165 memory: 17007 grad_norm: 5.4504 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6685 loss: 2.6685 2022/07/27 09:10:44 - mmengine - INFO - Epoch(train) [39][360/3757] lr: 8.9401e-03 eta: 2 days, 10:15:45 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 5.9085 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8331 loss: 2.8331 2022/07/27 09:10:52 - mmengine - INFO - Epoch(train) [39][380/3757] lr: 8.9401e-03 eta: 2 days, 10:15:37 time: 0.3993 data_time: 0.0157 memory: 17007 grad_norm: 5.4227 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3349 loss: 2.3349 2022/07/27 09:11:00 - mmengine - INFO - Epoch(train) [39][400/3757] lr: 8.9401e-03 eta: 2 days, 10:15:29 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 5.5538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4570 loss: 2.4570 2022/07/27 09:11:08 - mmengine - INFO - Epoch(train) [39][420/3757] lr: 8.9401e-03 eta: 2 days, 10:15:22 time: 0.4011 data_time: 0.0165 memory: 17007 grad_norm: 5.5323 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0772 loss: 2.0772 2022/07/27 09:11:16 - mmengine - INFO - Epoch(train) [39][440/3757] lr: 8.9401e-03 eta: 2 days, 10:15:14 time: 0.3940 data_time: 0.0166 memory: 17007 grad_norm: 5.6062 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5880 loss: 2.5880 2022/07/27 09:11:24 - mmengine - INFO - Epoch(train) [39][460/3757] lr: 8.9401e-03 eta: 2 days, 10:15:06 time: 0.3914 data_time: 0.0144 memory: 17007 grad_norm: 5.6823 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2496 loss: 2.2496 2022/07/27 09:11:32 - mmengine - INFO - Epoch(train) [39][480/3757] lr: 8.9401e-03 eta: 2 days, 10:14:58 time: 0.3938 data_time: 0.0170 memory: 17007 grad_norm: 5.7106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4866 loss: 2.4866 2022/07/27 09:11:39 - mmengine - INFO - Epoch(train) [39][500/3757] lr: 8.9401e-03 eta: 2 days, 10:14:50 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 5.6816 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6375 loss: 2.6375 2022/07/27 09:11:47 - mmengine - INFO - Epoch(train) [39][520/3757] lr: 8.9401e-03 eta: 2 days, 10:14:43 time: 0.4038 data_time: 0.0160 memory: 17007 grad_norm: 5.7097 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7064 loss: 2.7064 2022/07/27 09:11:55 - mmengine - INFO - Epoch(train) [39][540/3757] lr: 8.9401e-03 eta: 2 days, 10:14:35 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 5.6099 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6763 loss: 2.6763 2022/07/27 09:12:03 - mmengine - INFO - Epoch(train) [39][560/3757] lr: 8.9401e-03 eta: 2 days, 10:14:27 time: 0.3955 data_time: 0.0167 memory: 17007 grad_norm: 5.5361 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6458 loss: 2.6458 2022/07/27 09:12:11 - mmengine - INFO - Epoch(train) [39][580/3757] lr: 8.9401e-03 eta: 2 days, 10:14:20 time: 0.3952 data_time: 0.0163 memory: 17007 grad_norm: 5.6458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5404 loss: 2.5404 2022/07/27 09:12:19 - mmengine - INFO - Epoch(train) [39][600/3757] lr: 8.9401e-03 eta: 2 days, 10:14:12 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.7332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7449 loss: 2.7449 2022/07/27 09:12:27 - mmengine - INFO - Epoch(train) [39][620/3757] lr: 8.9401e-03 eta: 2 days, 10:14:05 time: 0.4048 data_time: 0.0160 memory: 17007 grad_norm: 5.7531 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5150 loss: 2.5150 2022/07/27 09:12:35 - mmengine - INFO - Epoch(train) [39][640/3757] lr: 8.9401e-03 eta: 2 days, 10:13:57 time: 0.3915 data_time: 0.0161 memory: 17007 grad_norm: 5.5761 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8242 loss: 2.8242 2022/07/27 09:12:43 - mmengine - INFO - Epoch(train) [39][660/3757] lr: 8.9401e-03 eta: 2 days, 10:13:49 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 5.6679 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6472 loss: 2.6472 2022/07/27 09:12:51 - mmengine - INFO - Epoch(train) [39][680/3757] lr: 8.9401e-03 eta: 2 days, 10:13:41 time: 0.3964 data_time: 0.0171 memory: 17007 grad_norm: 5.6763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7346 loss: 2.7346 2022/07/27 09:12:59 - mmengine - INFO - Epoch(train) [39][700/3757] lr: 8.9401e-03 eta: 2 days, 10:13:33 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.6495 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5376 loss: 2.5376 2022/07/27 09:13:07 - mmengine - INFO - Epoch(train) [39][720/3757] lr: 8.9401e-03 eta: 2 days, 10:13:26 time: 0.3960 data_time: 0.0174 memory: 17007 grad_norm: 5.7038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3753 loss: 2.3753 2022/07/27 09:13:14 - mmengine - INFO - Epoch(train) [39][740/3757] lr: 8.9401e-03 eta: 2 days, 10:13:18 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 5.5183 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3411 loss: 2.3411 2022/07/27 09:13:22 - mmengine - INFO - Epoch(train) [39][760/3757] lr: 8.9401e-03 eta: 2 days, 10:13:10 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 5.5542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4664 loss: 2.4664 2022/07/27 09:13:30 - mmengine - INFO - Epoch(train) [39][780/3757] lr: 8.9401e-03 eta: 2 days, 10:13:02 time: 0.3968 data_time: 0.0162 memory: 17007 grad_norm: 5.6570 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0249 loss: 3.0249 2022/07/27 09:13:38 - mmengine - INFO - Epoch(train) [39][800/3757] lr: 8.9401e-03 eta: 2 days, 10:12:54 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 5.5975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5209 loss: 2.5209 2022/07/27 09:13:46 - mmengine - INFO - Epoch(train) [39][820/3757] lr: 8.9401e-03 eta: 2 days, 10:12:47 time: 0.3943 data_time: 0.0154 memory: 17007 grad_norm: 5.5217 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5920 loss: 2.5920 2022/07/27 09:13:54 - mmengine - INFO - Epoch(train) [39][840/3757] lr: 8.9401e-03 eta: 2 days, 10:12:39 time: 0.3998 data_time: 0.0156 memory: 17007 grad_norm: 5.6988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6715 loss: 2.6715 2022/07/27 09:14:02 - mmengine - INFO - Epoch(train) [39][860/3757] lr: 8.9401e-03 eta: 2 days, 10:12:31 time: 0.3939 data_time: 0.0165 memory: 17007 grad_norm: 5.4453 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5315 loss: 2.5315 2022/07/27 09:14:10 - mmengine - INFO - Epoch(train) [39][880/3757] lr: 8.9401e-03 eta: 2 days, 10:12:24 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 5.6851 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5828 loss: 2.5828 2022/07/27 09:14:18 - mmengine - INFO - Epoch(train) [39][900/3757] lr: 8.9401e-03 eta: 2 days, 10:12:16 time: 0.3930 data_time: 0.0166 memory: 17007 grad_norm: 5.7437 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6171 loss: 2.6171 2022/07/27 09:14:25 - mmengine - INFO - Epoch(train) [39][920/3757] lr: 8.9401e-03 eta: 2 days, 10:12:08 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 5.4999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4180 loss: 2.4180 2022/07/27 09:14:33 - mmengine - INFO - Epoch(train) [39][940/3757] lr: 8.9401e-03 eta: 2 days, 10:12:00 time: 0.3976 data_time: 0.0159 memory: 17007 grad_norm: 5.6722 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6212 loss: 2.6212 2022/07/27 09:14:41 - mmengine - INFO - Epoch(train) [39][960/3757] lr: 8.9401e-03 eta: 2 days, 10:11:52 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 5.6638 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6324 loss: 2.6324 2022/07/27 09:14:50 - mmengine - INFO - Epoch(train) [39][980/3757] lr: 8.9401e-03 eta: 2 days, 10:11:46 time: 0.4117 data_time: 0.0160 memory: 17007 grad_norm: 5.6998 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5882 loss: 2.5882 2022/07/27 09:14:57 - mmengine - INFO - Epoch(train) [39][1000/3757] lr: 8.9401e-03 eta: 2 days, 10:11:38 time: 0.3928 data_time: 0.0168 memory: 17007 grad_norm: 5.6622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3506 loss: 2.3506 2022/07/27 09:15:05 - mmengine - INFO - Epoch(train) [39][1020/3757] lr: 8.9401e-03 eta: 2 days, 10:11:30 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 5.7379 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1722 loss: 2.1722 2022/07/27 09:15:13 - mmengine - INFO - Epoch(train) [39][1040/3757] lr: 8.9401e-03 eta: 2 days, 10:11:22 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.8533 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4928 loss: 2.4928 2022/07/27 09:15:21 - mmengine - INFO - Epoch(train) [39][1060/3757] lr: 8.9401e-03 eta: 2 days, 10:11:14 time: 0.3924 data_time: 0.0166 memory: 17007 grad_norm: 5.7791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7257 loss: 2.7257 2022/07/27 09:15:29 - mmengine - INFO - Epoch(train) [39][1080/3757] lr: 8.9401e-03 eta: 2 days, 10:11:06 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.6416 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7455 loss: 2.7455 2022/07/27 09:15:37 - mmengine - INFO - Epoch(train) [39][1100/3757] lr: 8.9401e-03 eta: 2 days, 10:10:59 time: 0.3996 data_time: 0.0162 memory: 17007 grad_norm: 5.6756 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7837 loss: 2.7837 2022/07/27 09:15:45 - mmengine - INFO - Epoch(train) [39][1120/3757] lr: 8.9401e-03 eta: 2 days, 10:10:51 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 5.6807 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5988 loss: 2.5988 2022/07/27 09:15:53 - mmengine - INFO - Epoch(train) [39][1140/3757] lr: 8.9401e-03 eta: 2 days, 10:10:43 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 5.5747 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5369 loss: 2.5369 2022/07/27 09:16:00 - mmengine - INFO - Epoch(train) [39][1160/3757] lr: 8.9401e-03 eta: 2 days, 10:10:35 time: 0.3962 data_time: 0.0171 memory: 17007 grad_norm: 5.6927 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7215 loss: 2.7215 2022/07/27 09:16:08 - mmengine - INFO - Epoch(train) [39][1180/3757] lr: 8.9401e-03 eta: 2 days, 10:10:27 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 5.6022 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6596 loss: 2.6596 2022/07/27 09:16:16 - mmengine - INFO - Epoch(train) [39][1200/3757] lr: 8.9401e-03 eta: 2 days, 10:10:20 time: 0.3951 data_time: 0.0161 memory: 17007 grad_norm: 5.5533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4431 loss: 2.4431 2022/07/27 09:16:24 - mmengine - INFO - Epoch(train) [39][1220/3757] lr: 8.9401e-03 eta: 2 days, 10:10:12 time: 0.3943 data_time: 0.0144 memory: 17007 grad_norm: 5.7688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4389 loss: 2.4389 2022/07/27 09:16:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:16:32 - mmengine - INFO - Epoch(train) [39][1240/3757] lr: 8.9401e-03 eta: 2 days, 10:10:04 time: 0.3917 data_time: 0.0150 memory: 17007 grad_norm: 5.6934 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5369 loss: 2.5369 2022/07/27 09:16:40 - mmengine - INFO - Epoch(train) [39][1260/3757] lr: 8.9401e-03 eta: 2 days, 10:09:56 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 5.6974 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9101 loss: 2.9101 2022/07/27 09:16:48 - mmengine - INFO - Epoch(train) [39][1280/3757] lr: 8.9401e-03 eta: 2 days, 10:09:48 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 5.7138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8477 loss: 2.8477 2022/07/27 09:16:56 - mmengine - INFO - Epoch(train) [39][1300/3757] lr: 8.9401e-03 eta: 2 days, 10:09:40 time: 0.3922 data_time: 0.0152 memory: 17007 grad_norm: 5.5374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4011 loss: 2.4011 2022/07/27 09:17:03 - mmengine - INFO - Epoch(train) [39][1320/3757] lr: 8.9401e-03 eta: 2 days, 10:09:32 time: 0.3963 data_time: 0.0175 memory: 17007 grad_norm: 5.7967 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5921 loss: 2.5921 2022/07/27 09:17:11 - mmengine - INFO - Epoch(train) [39][1340/3757] lr: 8.9401e-03 eta: 2 days, 10:09:24 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 5.6756 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6321 loss: 2.6321 2022/07/27 09:17:19 - mmengine - INFO - Epoch(train) [39][1360/3757] lr: 8.9401e-03 eta: 2 days, 10:09:17 time: 0.3973 data_time: 0.0170 memory: 17007 grad_norm: 5.6937 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4212 loss: 2.4212 2022/07/27 09:17:27 - mmengine - INFO - Epoch(train) [39][1380/3757] lr: 8.9401e-03 eta: 2 days, 10:09:09 time: 0.3933 data_time: 0.0161 memory: 17007 grad_norm: 5.4306 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3957 loss: 2.3957 2022/07/27 09:17:35 - mmengine - INFO - Epoch(train) [39][1400/3757] lr: 8.9401e-03 eta: 2 days, 10:09:01 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 5.7314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5348 loss: 2.5348 2022/07/27 09:17:43 - mmengine - INFO - Epoch(train) [39][1420/3757] lr: 8.9401e-03 eta: 2 days, 10:08:53 time: 0.3964 data_time: 0.0165 memory: 17007 grad_norm: 5.6309 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5670 loss: 2.5670 2022/07/27 09:17:51 - mmengine - INFO - Epoch(train) [39][1440/3757] lr: 8.9401e-03 eta: 2 days, 10:08:46 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 5.7395 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3928 loss: 2.3928 2022/07/27 09:17:59 - mmengine - INFO - Epoch(train) [39][1460/3757] lr: 8.9401e-03 eta: 2 days, 10:08:38 time: 0.3963 data_time: 0.0166 memory: 17007 grad_norm: 5.6340 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7119 loss: 2.7119 2022/07/27 09:18:07 - mmengine - INFO - Epoch(train) [39][1480/3757] lr: 8.9401e-03 eta: 2 days, 10:08:30 time: 0.3930 data_time: 0.0167 memory: 17007 grad_norm: 5.7244 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6416 loss: 2.6416 2022/07/27 09:18:14 - mmengine - INFO - Epoch(train) [39][1500/3757] lr: 8.9401e-03 eta: 2 days, 10:08:22 time: 0.3910 data_time: 0.0152 memory: 17007 grad_norm: 5.4097 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8006 loss: 2.8006 2022/07/27 09:18:22 - mmengine - INFO - Epoch(train) [39][1520/3757] lr: 8.9401e-03 eta: 2 days, 10:08:15 time: 0.4003 data_time: 0.0162 memory: 17007 grad_norm: 5.4761 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2919 loss: 2.2919 2022/07/27 09:18:30 - mmengine - INFO - Epoch(train) [39][1540/3757] lr: 8.9401e-03 eta: 2 days, 10:08:07 time: 0.3911 data_time: 0.0140 memory: 17007 grad_norm: 5.4612 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3566 loss: 2.3566 2022/07/27 09:18:38 - mmengine - INFO - Epoch(train) [39][1560/3757] lr: 8.9401e-03 eta: 2 days, 10:07:59 time: 0.4005 data_time: 0.0164 memory: 17007 grad_norm: 5.6878 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4587 loss: 2.4587 2022/07/27 09:18:46 - mmengine - INFO - Epoch(train) [39][1580/3757] lr: 8.9401e-03 eta: 2 days, 10:07:51 time: 0.3918 data_time: 0.0149 memory: 17007 grad_norm: 5.5216 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5490 loss: 2.5490 2022/07/27 09:18:54 - mmengine - INFO - Epoch(train) [39][1600/3757] lr: 8.9401e-03 eta: 2 days, 10:07:43 time: 0.3924 data_time: 0.0159 memory: 17007 grad_norm: 5.7099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5767 loss: 2.5767 2022/07/27 09:19:02 - mmengine - INFO - Epoch(train) [39][1620/3757] lr: 8.9401e-03 eta: 2 days, 10:07:36 time: 0.3956 data_time: 0.0171 memory: 17007 grad_norm: 5.7192 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.8855 loss: 2.8855 2022/07/27 09:19:10 - mmengine - INFO - Epoch(train) [39][1640/3757] lr: 8.9401e-03 eta: 2 days, 10:07:28 time: 0.3949 data_time: 0.0177 memory: 17007 grad_norm: 5.6662 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7133 loss: 2.7133 2022/07/27 09:19:18 - mmengine - INFO - Epoch(train) [39][1660/3757] lr: 8.9401e-03 eta: 2 days, 10:07:20 time: 0.3978 data_time: 0.0142 memory: 17007 grad_norm: 5.5926 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5895 loss: 2.5895 2022/07/27 09:19:26 - mmengine - INFO - Epoch(train) [39][1680/3757] lr: 8.9401e-03 eta: 2 days, 10:07:12 time: 0.3934 data_time: 0.0166 memory: 17007 grad_norm: 5.6691 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2953 loss: 2.2953 2022/07/27 09:19:34 - mmengine - INFO - Epoch(train) [39][1700/3757] lr: 8.9401e-03 eta: 2 days, 10:07:05 time: 0.3956 data_time: 0.0145 memory: 17007 grad_norm: 5.3452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2203 loss: 2.2203 2022/07/27 09:19:41 - mmengine - INFO - Epoch(train) [39][1720/3757] lr: 8.9401e-03 eta: 2 days, 10:06:57 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.3904 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7555 loss: 2.7555 2022/07/27 09:19:49 - mmengine - INFO - Epoch(train) [39][1740/3757] lr: 8.9401e-03 eta: 2 days, 10:06:49 time: 0.3953 data_time: 0.0167 memory: 17007 grad_norm: 5.5813 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4623 loss: 2.4623 2022/07/27 09:19:57 - mmengine - INFO - Epoch(train) [39][1760/3757] lr: 8.9401e-03 eta: 2 days, 10:06:41 time: 0.3958 data_time: 0.0172 memory: 17007 grad_norm: 5.6708 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5257 loss: 2.5257 2022/07/27 09:20:05 - mmengine - INFO - Epoch(train) [39][1780/3757] lr: 8.9401e-03 eta: 2 days, 10:06:34 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 5.3769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7971 loss: 2.7971 2022/07/27 09:20:13 - mmengine - INFO - Epoch(train) [39][1800/3757] lr: 8.9401e-03 eta: 2 days, 10:06:26 time: 0.3981 data_time: 0.0163 memory: 17007 grad_norm: 5.5910 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4676 loss: 2.4676 2022/07/27 09:20:21 - mmengine - INFO - Epoch(train) [39][1820/3757] lr: 8.9401e-03 eta: 2 days, 10:06:18 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 5.7575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8412 loss: 2.8412 2022/07/27 09:20:29 - mmengine - INFO - Epoch(train) [39][1840/3757] lr: 8.9401e-03 eta: 2 days, 10:06:12 time: 0.4166 data_time: 0.0172 memory: 17007 grad_norm: 5.5334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5551 loss: 2.5551 2022/07/27 09:20:37 - mmengine - INFO - Epoch(train) [39][1860/3757] lr: 8.9401e-03 eta: 2 days, 10:06:04 time: 0.3940 data_time: 0.0172 memory: 17007 grad_norm: 5.7909 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3223 loss: 2.3223 2022/07/27 09:20:45 - mmengine - INFO - Epoch(train) [39][1880/3757] lr: 8.9401e-03 eta: 2 days, 10:05:56 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 5.5455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1184 loss: 2.1184 2022/07/27 09:20:53 - mmengine - INFO - Epoch(train) [39][1900/3757] lr: 8.9401e-03 eta: 2 days, 10:05:48 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 5.7365 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4303 loss: 2.4303 2022/07/27 09:21:01 - mmengine - INFO - Epoch(train) [39][1920/3757] lr: 8.9401e-03 eta: 2 days, 10:05:40 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 5.7501 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8894 loss: 2.8894 2022/07/27 09:21:09 - mmengine - INFO - Epoch(train) [39][1940/3757] lr: 8.9401e-03 eta: 2 days, 10:05:33 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.4692 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7163 loss: 2.7163 2022/07/27 09:21:17 - mmengine - INFO - Epoch(train) [39][1960/3757] lr: 8.9401e-03 eta: 2 days, 10:05:25 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 5.6420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3698 loss: 2.3698 2022/07/27 09:21:25 - mmengine - INFO - Epoch(train) [39][1980/3757] lr: 8.9401e-03 eta: 2 days, 10:05:19 time: 0.4195 data_time: 0.0177 memory: 17007 grad_norm: 5.6067 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.5228 loss: 2.5228 2022/07/27 09:21:36 - mmengine - INFO - Epoch(train) [39][2000/3757] lr: 8.9401e-03 eta: 2 days, 10:05:21 time: 0.5343 data_time: 0.0151 memory: 17007 grad_norm: 5.6011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6660 loss: 2.6660 2022/07/27 09:21:58 - mmengine - INFO - Epoch(train) [39][2020/3757] lr: 8.9401e-03 eta: 2 days, 10:06:07 time: 1.1275 data_time: 0.0194 memory: 17007 grad_norm: 5.6161 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3770 loss: 2.3770 2022/07/27 09:22:11 - mmengine - INFO - Epoch(train) [39][2040/3757] lr: 8.9401e-03 eta: 2 days, 10:06:18 time: 0.6480 data_time: 0.0154 memory: 17007 grad_norm: 5.7697 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7281 loss: 2.7281 2022/07/27 09:22:26 - mmengine - INFO - Epoch(train) [39][2060/3757] lr: 8.9401e-03 eta: 2 days, 10:06:36 time: 0.7520 data_time: 0.0154 memory: 17007 grad_norm: 5.6210 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8714 loss: 2.8714 2022/07/27 09:22:36 - mmengine - INFO - Epoch(train) [39][2080/3757] lr: 8.9401e-03 eta: 2 days, 10:06:35 time: 0.4845 data_time: 0.0158 memory: 17007 grad_norm: 5.6199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7032 loss: 2.7032 2022/07/27 09:22:44 - mmengine - INFO - Epoch(train) [39][2100/3757] lr: 8.9401e-03 eta: 2 days, 10:06:27 time: 0.3936 data_time: 0.0152 memory: 17007 grad_norm: 5.6935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7802 loss: 2.7802 2022/07/27 09:22:52 - mmengine - INFO - Epoch(train) [39][2120/3757] lr: 8.9401e-03 eta: 2 days, 10:06:19 time: 0.3937 data_time: 0.0168 memory: 17007 grad_norm: 5.6478 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5168 loss: 2.5168 2022/07/27 09:22:59 - mmengine - INFO - Epoch(train) [39][2140/3757] lr: 8.9401e-03 eta: 2 days, 10:06:12 time: 0.3932 data_time: 0.0143 memory: 17007 grad_norm: 5.7617 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6804 loss: 2.6804 2022/07/27 09:23:07 - mmengine - INFO - Epoch(train) [39][2160/3757] lr: 8.9401e-03 eta: 2 days, 10:06:04 time: 0.3953 data_time: 0.0163 memory: 17007 grad_norm: 5.5091 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3563 loss: 2.3563 2022/07/27 09:23:15 - mmengine - INFO - Epoch(train) [39][2180/3757] lr: 8.9401e-03 eta: 2 days, 10:05:56 time: 0.3914 data_time: 0.0139 memory: 17007 grad_norm: 5.6827 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6477 loss: 2.6477 2022/07/27 09:23:23 - mmengine - INFO - Epoch(train) [39][2200/3757] lr: 8.9401e-03 eta: 2 days, 10:05:48 time: 0.4008 data_time: 0.0181 memory: 17007 grad_norm: 5.6867 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7740 loss: 2.7740 2022/07/27 09:23:31 - mmengine - INFO - Epoch(train) [39][2220/3757] lr: 8.9401e-03 eta: 2 days, 10:05:41 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 5.3804 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5105 loss: 2.5105 2022/07/27 09:23:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:23:39 - mmengine - INFO - Epoch(train) [39][2240/3757] lr: 8.9401e-03 eta: 2 days, 10:05:33 time: 0.3917 data_time: 0.0158 memory: 17007 grad_norm: 5.6004 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7685 loss: 2.7685 2022/07/27 09:23:47 - mmengine - INFO - Epoch(train) [39][2260/3757] lr: 8.9401e-03 eta: 2 days, 10:05:25 time: 0.3933 data_time: 0.0163 memory: 17007 grad_norm: 5.7649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3682 loss: 2.3682 2022/07/27 09:23:55 - mmengine - INFO - Epoch(train) [39][2280/3757] lr: 8.9401e-03 eta: 2 days, 10:05:17 time: 0.3947 data_time: 0.0171 memory: 17007 grad_norm: 5.7684 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7632 loss: 2.7632 2022/07/27 09:24:03 - mmengine - INFO - Epoch(train) [39][2300/3757] lr: 8.9401e-03 eta: 2 days, 10:05:09 time: 0.3955 data_time: 0.0130 memory: 17007 grad_norm: 5.7738 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4357 loss: 2.4357 2022/07/27 09:24:11 - mmengine - INFO - Epoch(train) [39][2320/3757] lr: 8.9401e-03 eta: 2 days, 10:05:02 time: 0.3978 data_time: 0.0187 memory: 17007 grad_norm: 5.9751 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7169 loss: 2.7169 2022/07/27 09:24:18 - mmengine - INFO - Epoch(train) [39][2340/3757] lr: 8.9401e-03 eta: 2 days, 10:04:54 time: 0.3938 data_time: 0.0164 memory: 17007 grad_norm: 5.6105 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2261 loss: 2.2261 2022/07/27 09:24:26 - mmengine - INFO - Epoch(train) [39][2360/3757] lr: 8.9401e-03 eta: 2 days, 10:04:46 time: 0.3934 data_time: 0.0165 memory: 17007 grad_norm: 5.5765 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5377 loss: 2.5377 2022/07/27 09:24:34 - mmengine - INFO - Epoch(train) [39][2380/3757] lr: 8.9401e-03 eta: 2 days, 10:04:38 time: 0.3991 data_time: 0.0158 memory: 17007 grad_norm: 5.9222 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4783 loss: 2.4783 2022/07/27 09:24:42 - mmengine - INFO - Epoch(train) [39][2400/3757] lr: 8.9401e-03 eta: 2 days, 10:04:30 time: 0.3939 data_time: 0.0167 memory: 17007 grad_norm: 5.5098 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5477 loss: 2.5477 2022/07/27 09:24:50 - mmengine - INFO - Epoch(train) [39][2420/3757] lr: 8.9401e-03 eta: 2 days, 10:04:23 time: 0.4036 data_time: 0.0153 memory: 17007 grad_norm: 5.7193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7236 loss: 2.7236 2022/07/27 09:24:58 - mmengine - INFO - Epoch(train) [39][2440/3757] lr: 8.9401e-03 eta: 2 days, 10:04:15 time: 0.3937 data_time: 0.0167 memory: 17007 grad_norm: 5.6576 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6710 loss: 2.6710 2022/07/27 09:25:06 - mmengine - INFO - Epoch(train) [39][2460/3757] lr: 8.9401e-03 eta: 2 days, 10:04:07 time: 0.3922 data_time: 0.0137 memory: 17007 grad_norm: 5.5903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6848 loss: 2.6848 2022/07/27 09:25:14 - mmengine - INFO - Epoch(train) [39][2480/3757] lr: 8.9401e-03 eta: 2 days, 10:04:00 time: 0.3981 data_time: 0.0166 memory: 17007 grad_norm: 5.7880 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4617 loss: 2.4617 2022/07/27 09:25:22 - mmengine - INFO - Epoch(train) [39][2500/3757] lr: 8.9401e-03 eta: 2 days, 10:03:52 time: 0.3926 data_time: 0.0146 memory: 17007 grad_norm: 5.8029 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5899 loss: 2.5899 2022/07/27 09:25:30 - mmengine - INFO - Epoch(train) [39][2520/3757] lr: 8.9401e-03 eta: 2 days, 10:03:44 time: 0.3961 data_time: 0.0172 memory: 17007 grad_norm: 5.6526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7429 loss: 2.7429 2022/07/27 09:25:38 - mmengine - INFO - Epoch(train) [39][2540/3757] lr: 8.9401e-03 eta: 2 days, 10:03:36 time: 0.3924 data_time: 0.0139 memory: 17007 grad_norm: 5.6368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6190 loss: 2.6190 2022/07/27 09:25:46 - mmengine - INFO - Epoch(train) [39][2560/3757] lr: 8.9401e-03 eta: 2 days, 10:03:28 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 5.8176 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7325 loss: 2.7325 2022/07/27 09:25:53 - mmengine - INFO - Epoch(train) [39][2580/3757] lr: 8.9401e-03 eta: 2 days, 10:03:21 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 5.4864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7292 loss: 2.7292 2022/07/27 09:26:01 - mmengine - INFO - Epoch(train) [39][2600/3757] lr: 8.9401e-03 eta: 2 days, 10:03:13 time: 0.3964 data_time: 0.0163 memory: 17007 grad_norm: 5.3495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6130 loss: 2.6130 2022/07/27 09:26:09 - mmengine - INFO - Epoch(train) [39][2620/3757] lr: 8.9401e-03 eta: 2 days, 10:03:05 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 5.7280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6943 loss: 2.6943 2022/07/27 09:26:17 - mmengine - INFO - Epoch(train) [39][2640/3757] lr: 8.9401e-03 eta: 2 days, 10:02:57 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 5.4298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5921 loss: 2.5921 2022/07/27 09:26:25 - mmengine - INFO - Epoch(train) [39][2660/3757] lr: 8.9401e-03 eta: 2 days, 10:02:49 time: 0.3918 data_time: 0.0137 memory: 17007 grad_norm: 5.4458 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6071 loss: 2.6071 2022/07/27 09:26:33 - mmengine - INFO - Epoch(train) [39][2680/3757] lr: 8.9401e-03 eta: 2 days, 10:02:41 time: 0.3942 data_time: 0.0165 memory: 17007 grad_norm: 5.7277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6171 loss: 2.6171 2022/07/27 09:26:41 - mmengine - INFO - Epoch(train) [39][2700/3757] lr: 8.9401e-03 eta: 2 days, 10:02:33 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 5.7647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6777 loss: 2.6777 2022/07/27 09:26:48 - mmengine - INFO - Epoch(train) [39][2720/3757] lr: 8.9401e-03 eta: 2 days, 10:02:25 time: 0.3947 data_time: 0.0169 memory: 17007 grad_norm: 5.5798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4054 loss: 2.4054 2022/07/27 09:26:56 - mmengine - INFO - Epoch(train) [39][2740/3757] lr: 8.9401e-03 eta: 2 days, 10:02:17 time: 0.3915 data_time: 0.0142 memory: 17007 grad_norm: 5.4920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6830 loss: 2.6830 2022/07/27 09:27:04 - mmengine - INFO - Epoch(train) [39][2760/3757] lr: 8.9401e-03 eta: 2 days, 10:02:09 time: 0.3921 data_time: 0.0162 memory: 17007 grad_norm: 5.6277 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4283 loss: 2.4283 2022/07/27 09:27:12 - mmengine - INFO - Epoch(train) [39][2780/3757] lr: 8.9401e-03 eta: 2 days, 10:02:01 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 5.7414 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2471 loss: 2.2471 2022/07/27 09:27:20 - mmengine - INFO - Epoch(train) [39][2800/3757] lr: 8.9401e-03 eta: 2 days, 10:01:53 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 5.7881 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7046 loss: 2.7046 2022/07/27 09:27:28 - mmengine - INFO - Epoch(train) [39][2820/3757] lr: 8.9401e-03 eta: 2 days, 10:01:45 time: 0.3926 data_time: 0.0139 memory: 17007 grad_norm: 5.5463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1986 loss: 2.1986 2022/07/27 09:27:36 - mmengine - INFO - Epoch(train) [39][2840/3757] lr: 8.9401e-03 eta: 2 days, 10:01:37 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 5.5751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4024 loss: 2.4024 2022/07/27 09:27:43 - mmengine - INFO - Epoch(train) [39][2860/3757] lr: 8.9401e-03 eta: 2 days, 10:01:30 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 5.4815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3912 loss: 2.3912 2022/07/27 09:27:51 - mmengine - INFO - Epoch(train) [39][2880/3757] lr: 8.9401e-03 eta: 2 days, 10:01:22 time: 0.3994 data_time: 0.0151 memory: 17007 grad_norm: 5.7068 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7584 loss: 2.7584 2022/07/27 09:27:59 - mmengine - INFO - Epoch(train) [39][2900/3757] lr: 8.9401e-03 eta: 2 days, 10:01:14 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 5.5915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6593 loss: 2.6593 2022/07/27 09:28:07 - mmengine - INFO - Epoch(train) [39][2920/3757] lr: 8.9401e-03 eta: 2 days, 10:01:06 time: 0.3940 data_time: 0.0165 memory: 17007 grad_norm: 5.9296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5402 loss: 2.5402 2022/07/27 09:28:15 - mmengine - INFO - Epoch(train) [39][2940/3757] lr: 8.9401e-03 eta: 2 days, 10:00:59 time: 0.3970 data_time: 0.0132 memory: 17007 grad_norm: 5.7103 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6435 loss: 2.6435 2022/07/27 09:28:24 - mmengine - INFO - Epoch(train) [39][2960/3757] lr: 8.9401e-03 eta: 2 days, 10:00:53 time: 0.4232 data_time: 0.0167 memory: 17007 grad_norm: 5.6074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4076 loss: 2.4076 2022/07/27 09:28:31 - mmengine - INFO - Epoch(train) [39][2980/3757] lr: 8.9401e-03 eta: 2 days, 10:00:45 time: 0.3923 data_time: 0.0137 memory: 17007 grad_norm: 5.7093 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5000 loss: 2.5000 2022/07/27 09:28:40 - mmengine - INFO - Epoch(train) [39][3000/3757] lr: 8.9401e-03 eta: 2 days, 10:00:39 time: 0.4223 data_time: 0.0168 memory: 17007 grad_norm: 5.6125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5236 loss: 2.5236 2022/07/27 09:28:48 - mmengine - INFO - Epoch(train) [39][3020/3757] lr: 8.9401e-03 eta: 2 days, 10:00:31 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.7118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5350 loss: 2.5350 2022/07/27 09:28:56 - mmengine - INFO - Epoch(train) [39][3040/3757] lr: 8.9401e-03 eta: 2 days, 10:00:23 time: 0.3916 data_time: 0.0161 memory: 17007 grad_norm: 5.4544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7127 loss: 2.7127 2022/07/27 09:29:03 - mmengine - INFO - Epoch(train) [39][3060/3757] lr: 8.9401e-03 eta: 2 days, 10:00:15 time: 0.3938 data_time: 0.0143 memory: 17007 grad_norm: 5.6903 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9008 loss: 2.9008 2022/07/27 09:29:11 - mmengine - INFO - Epoch(train) [39][3080/3757] lr: 8.9401e-03 eta: 2 days, 10:00:08 time: 0.3955 data_time: 0.0169 memory: 17007 grad_norm: 5.5836 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6674 loss: 2.6674 2022/07/27 09:29:19 - mmengine - INFO - Epoch(train) [39][3100/3757] lr: 8.9401e-03 eta: 2 days, 10:00:00 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 5.6569 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5650 loss: 2.5650 2022/07/27 09:29:27 - mmengine - INFO - Epoch(train) [39][3120/3757] lr: 8.9401e-03 eta: 2 days, 9:59:52 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.5762 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2256 loss: 2.2256 2022/07/27 09:29:35 - mmengine - INFO - Epoch(train) [39][3140/3757] lr: 8.9401e-03 eta: 2 days, 9:59:44 time: 0.3934 data_time: 0.0150 memory: 17007 grad_norm: 5.7292 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6124 loss: 2.6124 2022/07/27 09:29:43 - mmengine - INFO - Epoch(train) [39][3160/3757] lr: 8.9401e-03 eta: 2 days, 9:59:36 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 5.5015 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5627 loss: 2.5627 2022/07/27 09:29:51 - mmengine - INFO - Epoch(train) [39][3180/3757] lr: 8.9401e-03 eta: 2 days, 9:59:28 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 5.6360 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5045 loss: 2.5045 2022/07/27 09:29:59 - mmengine - INFO - Epoch(train) [39][3200/3757] lr: 8.9401e-03 eta: 2 days, 9:59:20 time: 0.3949 data_time: 0.0160 memory: 17007 grad_norm: 5.5540 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7150 loss: 2.7150 2022/07/27 09:30:06 - mmengine - INFO - Epoch(train) [39][3220/3757] lr: 8.9401e-03 eta: 2 days, 9:59:12 time: 0.3917 data_time: 0.0142 memory: 17007 grad_norm: 5.7724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6879 loss: 2.6879 2022/07/27 09:30:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:30:15 - mmengine - INFO - Epoch(train) [39][3240/3757] lr: 8.9401e-03 eta: 2 days, 9:59:05 time: 0.4047 data_time: 0.0161 memory: 17007 grad_norm: 5.5445 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6008 loss: 2.6008 2022/07/27 09:30:22 - mmengine - INFO - Epoch(train) [39][3260/3757] lr: 8.9401e-03 eta: 2 days, 9:58:57 time: 0.3926 data_time: 0.0142 memory: 17007 grad_norm: 5.7559 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7165 loss: 2.7165 2022/07/27 09:30:31 - mmengine - INFO - Epoch(train) [39][3280/3757] lr: 8.9401e-03 eta: 2 days, 9:58:50 time: 0.4050 data_time: 0.0172 memory: 17007 grad_norm: 5.8743 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7278 loss: 2.7278 2022/07/27 09:30:38 - mmengine - INFO - Epoch(train) [39][3300/3757] lr: 8.9401e-03 eta: 2 days, 9:58:42 time: 0.3920 data_time: 0.0130 memory: 17007 grad_norm: 5.6204 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5945 loss: 2.5945 2022/07/27 09:30:46 - mmengine - INFO - Epoch(train) [39][3320/3757] lr: 8.9401e-03 eta: 2 days, 9:58:34 time: 0.3929 data_time: 0.0165 memory: 17007 grad_norm: 5.5353 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3281 loss: 2.3281 2022/07/27 09:30:54 - mmengine - INFO - Epoch(train) [39][3340/3757] lr: 8.9401e-03 eta: 2 days, 9:58:26 time: 0.3940 data_time: 0.0143 memory: 17007 grad_norm: 5.4644 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3218 loss: 2.3218 2022/07/27 09:31:02 - mmengine - INFO - Epoch(train) [39][3360/3757] lr: 8.9401e-03 eta: 2 days, 9:58:19 time: 0.3942 data_time: 0.0168 memory: 17007 grad_norm: 5.5542 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4903 loss: 2.4903 2022/07/27 09:31:10 - mmengine - INFO - Epoch(train) [39][3380/3757] lr: 8.9401e-03 eta: 2 days, 9:58:11 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 5.7160 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4402 loss: 2.4402 2022/07/27 09:31:18 - mmengine - INFO - Epoch(train) [39][3400/3757] lr: 8.9401e-03 eta: 2 days, 9:58:03 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 5.7095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4664 loss: 2.4664 2022/07/27 09:31:26 - mmengine - INFO - Epoch(train) [39][3420/3757] lr: 8.9401e-03 eta: 2 days, 9:57:55 time: 0.3908 data_time: 0.0133 memory: 17007 grad_norm: 5.7470 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4352 loss: 2.4352 2022/07/27 09:31:33 - mmengine - INFO - Epoch(train) [39][3440/3757] lr: 8.9401e-03 eta: 2 days, 9:57:47 time: 0.3946 data_time: 0.0168 memory: 17007 grad_norm: 5.5021 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6875 loss: 2.6875 2022/07/27 09:31:41 - mmengine - INFO - Epoch(train) [39][3460/3757] lr: 8.9401e-03 eta: 2 days, 9:57:39 time: 0.3923 data_time: 0.0137 memory: 17007 grad_norm: 5.5922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5729 loss: 2.5729 2022/07/27 09:31:49 - mmengine - INFO - Epoch(train) [39][3480/3757] lr: 8.9401e-03 eta: 2 days, 9:57:31 time: 0.3982 data_time: 0.0173 memory: 17007 grad_norm: 5.7353 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4520 loss: 2.4520 2022/07/27 09:31:57 - mmengine - INFO - Epoch(train) [39][3500/3757] lr: 8.9401e-03 eta: 2 days, 9:57:23 time: 0.3914 data_time: 0.0144 memory: 17007 grad_norm: 5.7251 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5058 loss: 2.5058 2022/07/27 09:32:05 - mmengine - INFO - Epoch(train) [39][3520/3757] lr: 8.9401e-03 eta: 2 days, 9:57:15 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 5.5047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5596 loss: 2.5596 2022/07/27 09:32:13 - mmengine - INFO - Epoch(train) [39][3540/3757] lr: 8.9401e-03 eta: 2 days, 9:57:08 time: 0.4004 data_time: 0.0146 memory: 17007 grad_norm: 5.5953 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7145 loss: 2.7145 2022/07/27 09:32:21 - mmengine - INFO - Epoch(train) [39][3560/3757] lr: 8.9401e-03 eta: 2 days, 9:57:00 time: 0.3939 data_time: 0.0165 memory: 17007 grad_norm: 5.7164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4925 loss: 2.4925 2022/07/27 09:32:29 - mmengine - INFO - Epoch(train) [39][3580/3757] lr: 8.9401e-03 eta: 2 days, 9:56:52 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 5.5702 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4192 loss: 2.4192 2022/07/27 09:32:37 - mmengine - INFO - Epoch(train) [39][3600/3757] lr: 8.9401e-03 eta: 2 days, 9:56:44 time: 0.3927 data_time: 0.0162 memory: 17007 grad_norm: 5.6870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5845 loss: 2.5845 2022/07/27 09:32:44 - mmengine - INFO - Epoch(train) [39][3620/3757] lr: 8.9401e-03 eta: 2 days, 9:56:36 time: 0.3921 data_time: 0.0146 memory: 17007 grad_norm: 5.7086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4549 loss: 2.4549 2022/07/27 09:32:52 - mmengine - INFO - Epoch(train) [39][3640/3757] lr: 8.9401e-03 eta: 2 days, 9:56:29 time: 0.3960 data_time: 0.0170 memory: 17007 grad_norm: 5.3681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6170 loss: 2.6170 2022/07/27 09:33:00 - mmengine - INFO - Epoch(train) [39][3660/3757] lr: 8.9401e-03 eta: 2 days, 9:56:21 time: 0.3920 data_time: 0.0150 memory: 17007 grad_norm: 5.6398 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5113 loss: 2.5113 2022/07/27 09:33:08 - mmengine - INFO - Epoch(train) [39][3680/3757] lr: 8.9401e-03 eta: 2 days, 9:56:13 time: 0.3961 data_time: 0.0169 memory: 17007 grad_norm: 5.6080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3600 loss: 2.3600 2022/07/27 09:33:16 - mmengine - INFO - Epoch(train) [39][3700/3757] lr: 8.9401e-03 eta: 2 days, 9:56:05 time: 0.3900 data_time: 0.0135 memory: 17007 grad_norm: 5.6698 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6675 loss: 2.6675 2022/07/27 09:33:24 - mmengine - INFO - Epoch(train) [39][3720/3757] lr: 8.9401e-03 eta: 2 days, 9:55:57 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 5.6073 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4717 loss: 2.4717 2022/07/27 09:33:32 - mmengine - INFO - Epoch(train) [39][3740/3757] lr: 8.9401e-03 eta: 2 days, 9:55:49 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 5.7018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7279 loss: 2.7279 2022/07/27 09:33:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:33:38 - mmengine - INFO - Epoch(train) [39][3757/3757] lr: 8.9401e-03 eta: 2 days, 9:55:49 time: 0.3880 data_time: 0.0165 memory: 17007 grad_norm: 5.7166 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.5040 loss: 2.5040 2022/07/27 09:33:38 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/07/27 09:33:50 - mmengine - INFO - Epoch(train) [40][20/3757] lr: 8.8857e-03 eta: 2 days, 9:55:16 time: 0.4753 data_time: 0.0965 memory: 17007 grad_norm: 5.5338 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3729 loss: 2.3729 2022/07/27 09:33:58 - mmengine - INFO - Epoch(train) [40][40/3757] lr: 8.8857e-03 eta: 2 days, 9:55:09 time: 0.3939 data_time: 0.0179 memory: 17007 grad_norm: 5.6108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3252 loss: 2.3252 2022/07/27 09:34:05 - mmengine - INFO - Epoch(train) [40][60/3757] lr: 8.8857e-03 eta: 2 days, 9:55:01 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.6731 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5489 loss: 2.5489 2022/07/27 09:34:13 - mmengine - INFO - Epoch(train) [40][80/3757] lr: 8.8857e-03 eta: 2 days, 9:54:53 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 5.6314 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7938 loss: 2.7938 2022/07/27 09:34:21 - mmengine - INFO - Epoch(train) [40][100/3757] lr: 8.8857e-03 eta: 2 days, 9:54:45 time: 0.3993 data_time: 0.0165 memory: 17007 grad_norm: 5.6414 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7706 loss: 2.7706 2022/07/27 09:34:29 - mmengine - INFO - Epoch(train) [40][120/3757] lr: 8.8857e-03 eta: 2 days, 9:54:37 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 5.7336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4888 loss: 2.4888 2022/07/27 09:34:37 - mmengine - INFO - Epoch(train) [40][140/3757] lr: 8.8857e-03 eta: 2 days, 9:54:29 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 5.4857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3335 loss: 2.3335 2022/07/27 09:34:45 - mmengine - INFO - Epoch(train) [40][160/3757] lr: 8.8857e-03 eta: 2 days, 9:54:22 time: 0.3948 data_time: 0.0174 memory: 17007 grad_norm: 5.6318 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3706 loss: 2.3706 2022/07/27 09:34:53 - mmengine - INFO - Epoch(train) [40][180/3757] lr: 8.8857e-03 eta: 2 days, 9:54:14 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 5.7294 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5595 loss: 2.5595 2022/07/27 09:35:01 - mmengine - INFO - Epoch(train) [40][200/3757] lr: 8.8857e-03 eta: 2 days, 9:54:06 time: 0.3954 data_time: 0.0176 memory: 17007 grad_norm: 5.5983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7860 loss: 2.7860 2022/07/27 09:35:09 - mmengine - INFO - Epoch(train) [40][220/3757] lr: 8.8857e-03 eta: 2 days, 9:53:58 time: 0.4014 data_time: 0.0145 memory: 17007 grad_norm: 5.5502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5494 loss: 2.5494 2022/07/27 09:35:17 - mmengine - INFO - Epoch(train) [40][240/3757] lr: 8.8857e-03 eta: 2 days, 9:53:51 time: 0.3936 data_time: 0.0168 memory: 17007 grad_norm: 5.8018 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3817 loss: 2.3817 2022/07/27 09:35:24 - mmengine - INFO - Epoch(train) [40][260/3757] lr: 8.8857e-03 eta: 2 days, 9:53:43 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 5.5747 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2237 loss: 2.2237 2022/07/27 09:35:32 - mmengine - INFO - Epoch(train) [40][280/3757] lr: 8.8857e-03 eta: 2 days, 9:53:35 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 5.5001 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2579 loss: 2.2579 2022/07/27 09:35:40 - mmengine - INFO - Epoch(train) [40][300/3757] lr: 8.8857e-03 eta: 2 days, 9:53:27 time: 0.4002 data_time: 0.0165 memory: 17007 grad_norm: 5.7699 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5274 loss: 2.5274 2022/07/27 09:35:48 - mmengine - INFO - Epoch(train) [40][320/3757] lr: 8.8857e-03 eta: 2 days, 9:53:20 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.6282 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4914 loss: 2.4914 2022/07/27 09:35:56 - mmengine - INFO - Epoch(train) [40][340/3757] lr: 8.8857e-03 eta: 2 days, 9:53:12 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.5090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6376 loss: 2.6376 2022/07/27 09:36:04 - mmengine - INFO - Epoch(train) [40][360/3757] lr: 8.8857e-03 eta: 2 days, 9:53:04 time: 0.3936 data_time: 0.0152 memory: 17007 grad_norm: 5.4788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7224 loss: 2.7224 2022/07/27 09:36:12 - mmengine - INFO - Epoch(train) [40][380/3757] lr: 8.8857e-03 eta: 2 days, 9:52:56 time: 0.3953 data_time: 0.0150 memory: 17007 grad_norm: 5.5266 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7972 loss: 2.7972 2022/07/27 09:36:20 - mmengine - INFO - Epoch(train) [40][400/3757] lr: 8.8857e-03 eta: 2 days, 9:52:48 time: 0.3975 data_time: 0.0172 memory: 17007 grad_norm: 5.6239 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1756 loss: 2.1756 2022/07/27 09:36:28 - mmengine - INFO - Epoch(train) [40][420/3757] lr: 8.8857e-03 eta: 2 days, 9:52:40 time: 0.3910 data_time: 0.0149 memory: 17007 grad_norm: 5.6482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9292 loss: 2.9292 2022/07/27 09:36:35 - mmengine - INFO - Epoch(train) [40][440/3757] lr: 8.8857e-03 eta: 2 days, 9:52:32 time: 0.3945 data_time: 0.0176 memory: 17007 grad_norm: 5.7627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2877 loss: 2.2877 2022/07/27 09:36:43 - mmengine - INFO - Epoch(train) [40][460/3757] lr: 8.8857e-03 eta: 2 days, 9:52:25 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 5.6164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5809 loss: 2.5809 2022/07/27 09:36:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:36:51 - mmengine - INFO - Epoch(train) [40][480/3757] lr: 8.8857e-03 eta: 2 days, 9:52:17 time: 0.3942 data_time: 0.0181 memory: 17007 grad_norm: 5.7793 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3779 loss: 2.3779 2022/07/27 09:36:59 - mmengine - INFO - Epoch(train) [40][500/3757] lr: 8.8857e-03 eta: 2 days, 9:52:09 time: 0.3998 data_time: 0.0157 memory: 17007 grad_norm: 5.6407 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5555 loss: 2.5555 2022/07/27 09:37:07 - mmengine - INFO - Epoch(train) [40][520/3757] lr: 8.8857e-03 eta: 2 days, 9:52:01 time: 0.3924 data_time: 0.0159 memory: 17007 grad_norm: 5.5861 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7537 loss: 2.7537 2022/07/27 09:37:15 - mmengine - INFO - Epoch(train) [40][540/3757] lr: 8.8857e-03 eta: 2 days, 9:51:54 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 5.6466 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5840 loss: 2.5840 2022/07/27 09:37:23 - mmengine - INFO - Epoch(train) [40][560/3757] lr: 8.8857e-03 eta: 2 days, 9:51:46 time: 0.3951 data_time: 0.0172 memory: 17007 grad_norm: 5.6512 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5515 loss: 2.5515 2022/07/27 09:37:31 - mmengine - INFO - Epoch(train) [40][580/3757] lr: 8.8857e-03 eta: 2 days, 9:51:38 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.7630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4692 loss: 2.4692 2022/07/27 09:37:39 - mmengine - INFO - Epoch(train) [40][600/3757] lr: 8.8857e-03 eta: 2 days, 9:51:30 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 5.7279 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4896 loss: 2.4896 2022/07/27 09:37:46 - mmengine - INFO - Epoch(train) [40][620/3757] lr: 8.8857e-03 eta: 2 days, 9:51:22 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 5.7448 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5434 loss: 2.5434 2022/07/27 09:37:54 - mmengine - INFO - Epoch(train) [40][640/3757] lr: 8.8857e-03 eta: 2 days, 9:51:14 time: 0.3978 data_time: 0.0171 memory: 17007 grad_norm: 5.5100 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1357 loss: 2.1357 2022/07/27 09:38:02 - mmengine - INFO - Epoch(train) [40][660/3757] lr: 8.8857e-03 eta: 2 days, 9:51:06 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 5.6281 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1658 loss: 2.1658 2022/07/27 09:38:10 - mmengine - INFO - Epoch(train) [40][680/3757] lr: 8.8857e-03 eta: 2 days, 9:50:59 time: 0.3939 data_time: 0.0170 memory: 17007 grad_norm: 5.7327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4354 loss: 2.4354 2022/07/27 09:38:18 - mmengine - INFO - Epoch(train) [40][700/3757] lr: 8.8857e-03 eta: 2 days, 9:50:50 time: 0.3904 data_time: 0.0143 memory: 17007 grad_norm: 5.6810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6067 loss: 2.6067 2022/07/27 09:38:26 - mmengine - INFO - Epoch(train) [40][720/3757] lr: 8.8857e-03 eta: 2 days, 9:50:43 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 5.7527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4143 loss: 2.4143 2022/07/27 09:38:34 - mmengine - INFO - Epoch(train) [40][740/3757] lr: 8.8857e-03 eta: 2 days, 9:50:35 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 5.3807 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5334 loss: 2.5334 2022/07/27 09:38:42 - mmengine - INFO - Epoch(train) [40][760/3757] lr: 8.8857e-03 eta: 2 days, 9:50:27 time: 0.3933 data_time: 0.0163 memory: 17007 grad_norm: 5.5816 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7138 loss: 2.7138 2022/07/27 09:38:49 - mmengine - INFO - Epoch(train) [40][780/3757] lr: 8.8857e-03 eta: 2 days, 9:50:19 time: 0.3916 data_time: 0.0146 memory: 17007 grad_norm: 5.6062 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7393 loss: 2.7393 2022/07/27 09:38:57 - mmengine - INFO - Epoch(train) [40][800/3757] lr: 8.8857e-03 eta: 2 days, 9:50:11 time: 0.3937 data_time: 0.0175 memory: 17007 grad_norm: 5.8882 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4379 loss: 2.4379 2022/07/27 09:39:05 - mmengine - INFO - Epoch(train) [40][820/3757] lr: 8.8857e-03 eta: 2 days, 9:50:03 time: 0.3932 data_time: 0.0139 memory: 17007 grad_norm: 5.7791 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6243 loss: 2.6243 2022/07/27 09:39:13 - mmengine - INFO - Epoch(train) [40][840/3757] lr: 8.8857e-03 eta: 2 days, 9:49:55 time: 0.3945 data_time: 0.0172 memory: 17007 grad_norm: 5.6398 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4053 loss: 2.4053 2022/07/27 09:39:21 - mmengine - INFO - Epoch(train) [40][860/3757] lr: 8.8857e-03 eta: 2 days, 9:49:47 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 5.6303 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6241 loss: 2.6241 2022/07/27 09:39:29 - mmengine - INFO - Epoch(train) [40][880/3757] lr: 8.8857e-03 eta: 2 days, 9:49:40 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 5.9320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5105 loss: 2.5105 2022/07/27 09:39:37 - mmengine - INFO - Epoch(train) [40][900/3757] lr: 8.8857e-03 eta: 2 days, 9:49:32 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 5.5731 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4792 loss: 2.4792 2022/07/27 09:39:45 - mmengine - INFO - Epoch(train) [40][920/3757] lr: 8.8857e-03 eta: 2 days, 9:49:24 time: 0.3973 data_time: 0.0169 memory: 17007 grad_norm: 5.4004 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3559 loss: 2.3559 2022/07/27 09:39:52 - mmengine - INFO - Epoch(train) [40][940/3757] lr: 8.8857e-03 eta: 2 days, 9:49:16 time: 0.3915 data_time: 0.0143 memory: 17007 grad_norm: 5.5845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2919 loss: 2.2919 2022/07/27 09:40:00 - mmengine - INFO - Epoch(train) [40][960/3757] lr: 8.8857e-03 eta: 2 days, 9:49:08 time: 0.3952 data_time: 0.0169 memory: 17007 grad_norm: 5.7966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5629 loss: 2.5629 2022/07/27 09:40:08 - mmengine - INFO - Epoch(train) [40][980/3757] lr: 8.8857e-03 eta: 2 days, 9:49:00 time: 0.3909 data_time: 0.0149 memory: 17007 grad_norm: 5.5801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6698 loss: 2.6698 2022/07/27 09:40:16 - mmengine - INFO - Epoch(train) [40][1000/3757] lr: 8.8857e-03 eta: 2 days, 9:48:52 time: 0.3943 data_time: 0.0158 memory: 17007 grad_norm: 5.7476 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5238 loss: 2.5238 2022/07/27 09:40:24 - mmengine - INFO - Epoch(train) [40][1020/3757] lr: 8.8857e-03 eta: 2 days, 9:48:45 time: 0.3976 data_time: 0.0145 memory: 17007 grad_norm: 5.6271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6041 loss: 2.6041 2022/07/27 09:40:32 - mmengine - INFO - Epoch(train) [40][1040/3757] lr: 8.8857e-03 eta: 2 days, 9:48:37 time: 0.3910 data_time: 0.0151 memory: 17007 grad_norm: 5.7406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2919 loss: 2.2919 2022/07/27 09:40:40 - mmengine - INFO - Epoch(train) [40][1060/3757] lr: 8.8857e-03 eta: 2 days, 9:48:29 time: 0.3972 data_time: 0.0164 memory: 17007 grad_norm: 5.5893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2245 loss: 2.2245 2022/07/27 09:40:48 - mmengine - INFO - Epoch(train) [40][1080/3757] lr: 8.8857e-03 eta: 2 days, 9:48:21 time: 0.3927 data_time: 0.0163 memory: 17007 grad_norm: 5.6398 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1711 loss: 2.1711 2022/07/27 09:40:56 - mmengine - INFO - Epoch(train) [40][1100/3757] lr: 8.8857e-03 eta: 2 days, 9:48:13 time: 0.3952 data_time: 0.0150 memory: 17007 grad_norm: 5.8078 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5286 loss: 2.5286 2022/07/27 09:41:03 - mmengine - INFO - Epoch(train) [40][1120/3757] lr: 8.8857e-03 eta: 2 days, 9:48:06 time: 0.3941 data_time: 0.0183 memory: 17007 grad_norm: 5.8231 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4526 loss: 2.4526 2022/07/27 09:41:11 - mmengine - INFO - Epoch(train) [40][1140/3757] lr: 8.8857e-03 eta: 2 days, 9:47:58 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 5.6423 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4069 loss: 2.4069 2022/07/27 09:41:19 - mmengine - INFO - Epoch(train) [40][1160/3757] lr: 8.8857e-03 eta: 2 days, 9:47:50 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 5.8136 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5898 loss: 2.5898 2022/07/27 09:41:27 - mmengine - INFO - Epoch(train) [40][1180/3757] lr: 8.8857e-03 eta: 2 days, 9:47:42 time: 0.3914 data_time: 0.0148 memory: 17007 grad_norm: 5.6460 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4435 loss: 2.4435 2022/07/27 09:41:35 - mmengine - INFO - Epoch(train) [40][1200/3757] lr: 8.8857e-03 eta: 2 days, 9:47:34 time: 0.3936 data_time: 0.0167 memory: 17007 grad_norm: 5.6705 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5305 loss: 2.5305 2022/07/27 09:41:43 - mmengine - INFO - Epoch(train) [40][1220/3757] lr: 8.8857e-03 eta: 2 days, 9:47:26 time: 0.3951 data_time: 0.0160 memory: 17007 grad_norm: 5.5795 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6880 loss: 2.6880 2022/07/27 09:41:51 - mmengine - INFO - Epoch(train) [40][1240/3757] lr: 8.8857e-03 eta: 2 days, 9:47:18 time: 0.3927 data_time: 0.0163 memory: 17007 grad_norm: 5.5369 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9833 loss: 1.9833 2022/07/27 09:41:59 - mmengine - INFO - Epoch(train) [40][1260/3757] lr: 8.8857e-03 eta: 2 days, 9:47:11 time: 0.4001 data_time: 0.0159 memory: 17007 grad_norm: 5.7610 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4759 loss: 2.4759 2022/07/27 09:42:07 - mmengine - INFO - Epoch(train) [40][1280/3757] lr: 8.8857e-03 eta: 2 days, 9:47:04 time: 0.4069 data_time: 0.0169 memory: 17007 grad_norm: 5.7012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5163 loss: 2.5163 2022/07/27 09:42:15 - mmengine - INFO - Epoch(train) [40][1300/3757] lr: 8.8857e-03 eta: 2 days, 9:46:56 time: 0.3922 data_time: 0.0138 memory: 17007 grad_norm: 5.4747 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3259 loss: 2.3259 2022/07/27 09:42:23 - mmengine - INFO - Epoch(train) [40][1320/3757] lr: 8.8857e-03 eta: 2 days, 9:46:49 time: 0.4026 data_time: 0.0171 memory: 17007 grad_norm: 5.6291 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3817 loss: 2.3817 2022/07/27 09:42:31 - mmengine - INFO - Epoch(train) [40][1340/3757] lr: 8.8857e-03 eta: 2 days, 9:46:41 time: 0.3930 data_time: 0.0165 memory: 17007 grad_norm: 5.6488 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3924 loss: 2.3924 2022/07/27 09:42:39 - mmengine - INFO - Epoch(train) [40][1360/3757] lr: 8.8857e-03 eta: 2 days, 9:46:33 time: 0.3921 data_time: 0.0161 memory: 17007 grad_norm: 5.5699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7094 loss: 2.7094 2022/07/27 09:42:47 - mmengine - INFO - Epoch(train) [40][1380/3757] lr: 8.8857e-03 eta: 2 days, 9:46:26 time: 0.4094 data_time: 0.0161 memory: 17007 grad_norm: 5.6973 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7945 loss: 2.7945 2022/07/27 09:42:55 - mmengine - INFO - Epoch(train) [40][1400/3757] lr: 8.8857e-03 eta: 2 days, 9:46:18 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 5.6787 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4475 loss: 2.4475 2022/07/27 09:43:02 - mmengine - INFO - Epoch(train) [40][1420/3757] lr: 8.8857e-03 eta: 2 days, 9:46:10 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 5.7557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4883 loss: 2.4883 2022/07/27 09:43:10 - mmengine - INFO - Epoch(train) [40][1440/3757] lr: 8.8857e-03 eta: 2 days, 9:46:02 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 5.5136 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4775 loss: 2.4775 2022/07/27 09:43:18 - mmengine - INFO - Epoch(train) [40][1460/3757] lr: 8.8857e-03 eta: 2 days, 9:45:54 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 5.5679 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2774 loss: 2.2774 2022/07/27 09:43:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:43:26 - mmengine - INFO - Epoch(train) [40][1480/3757] lr: 8.8857e-03 eta: 2 days, 9:45:47 time: 0.4001 data_time: 0.0170 memory: 17007 grad_norm: 5.5573 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3395 loss: 2.3395 2022/07/27 09:43:34 - mmengine - INFO - Epoch(train) [40][1500/3757] lr: 8.8857e-03 eta: 2 days, 9:45:39 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.5824 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4353 loss: 2.4353 2022/07/27 09:43:42 - mmengine - INFO - Epoch(train) [40][1520/3757] lr: 8.8857e-03 eta: 2 days, 9:45:31 time: 0.3940 data_time: 0.0166 memory: 17007 grad_norm: 5.8140 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6678 loss: 2.6678 2022/07/27 09:43:50 - mmengine - INFO - Epoch(train) [40][1540/3757] lr: 8.8857e-03 eta: 2 days, 9:45:23 time: 0.3913 data_time: 0.0143 memory: 17007 grad_norm: 5.4581 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8320 loss: 2.8320 2022/07/27 09:43:58 - mmengine - INFO - Epoch(train) [40][1560/3757] lr: 8.8857e-03 eta: 2 days, 9:45:15 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.4662 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3877 loss: 2.3877 2022/07/27 09:44:06 - mmengine - INFO - Epoch(train) [40][1580/3757] lr: 8.8857e-03 eta: 2 days, 9:45:08 time: 0.3960 data_time: 0.0166 memory: 17007 grad_norm: 5.5497 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3859 loss: 2.3859 2022/07/27 09:44:13 - mmengine - INFO - Epoch(train) [40][1600/3757] lr: 8.8857e-03 eta: 2 days, 9:45:00 time: 0.3949 data_time: 0.0168 memory: 17007 grad_norm: 5.7351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7028 loss: 2.7028 2022/07/27 09:44:21 - mmengine - INFO - Epoch(train) [40][1620/3757] lr: 8.8857e-03 eta: 2 days, 9:44:52 time: 0.3960 data_time: 0.0148 memory: 17007 grad_norm: 5.8439 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4377 loss: 2.4377 2022/07/27 09:44:29 - mmengine - INFO - Epoch(train) [40][1640/3757] lr: 8.8857e-03 eta: 2 days, 9:44:44 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 5.7858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4493 loss: 2.4493 2022/07/27 09:44:37 - mmengine - INFO - Epoch(train) [40][1660/3757] lr: 8.8857e-03 eta: 2 days, 9:44:36 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 5.7742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6671 loss: 2.6671 2022/07/27 09:44:45 - mmengine - INFO - Epoch(train) [40][1680/3757] lr: 8.8857e-03 eta: 2 days, 9:44:28 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 5.8523 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4661 loss: 2.4661 2022/07/27 09:44:53 - mmengine - INFO - Epoch(train) [40][1700/3757] lr: 8.8857e-03 eta: 2 days, 9:44:20 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 5.7418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6633 loss: 2.6633 2022/07/27 09:45:01 - mmengine - INFO - Epoch(train) [40][1720/3757] lr: 8.8857e-03 eta: 2 days, 9:44:12 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 5.7702 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6922 loss: 2.6922 2022/07/27 09:45:09 - mmengine - INFO - Epoch(train) [40][1740/3757] lr: 8.8857e-03 eta: 2 days, 9:44:04 time: 0.3914 data_time: 0.0129 memory: 17007 grad_norm: 5.6662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5270 loss: 2.5270 2022/07/27 09:45:16 - mmengine - INFO - Epoch(train) [40][1760/3757] lr: 8.8857e-03 eta: 2 days, 9:43:57 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 5.7321 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4803 loss: 2.4803 2022/07/27 09:45:24 - mmengine - INFO - Epoch(train) [40][1780/3757] lr: 8.8857e-03 eta: 2 days, 9:43:49 time: 0.4018 data_time: 0.0147 memory: 17007 grad_norm: 5.7935 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7093 loss: 2.7093 2022/07/27 09:45:32 - mmengine - INFO - Epoch(train) [40][1800/3757] lr: 8.8857e-03 eta: 2 days, 9:43:41 time: 0.3923 data_time: 0.0179 memory: 17007 grad_norm: 5.7796 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6042 loss: 2.6042 2022/07/27 09:45:40 - mmengine - INFO - Epoch(train) [40][1820/3757] lr: 8.8857e-03 eta: 2 days, 9:43:34 time: 0.3986 data_time: 0.0153 memory: 17007 grad_norm: 5.5488 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4332 loss: 2.4332 2022/07/27 09:45:48 - mmengine - INFO - Epoch(train) [40][1840/3757] lr: 8.8857e-03 eta: 2 days, 9:43:26 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 5.6531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2753 loss: 2.2753 2022/07/27 09:45:56 - mmengine - INFO - Epoch(train) [40][1860/3757] lr: 8.8857e-03 eta: 2 days, 9:43:18 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 5.6685 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7063 loss: 2.7063 2022/07/27 09:46:04 - mmengine - INFO - Epoch(train) [40][1880/3757] lr: 8.8857e-03 eta: 2 days, 9:43:11 time: 0.4037 data_time: 0.0178 memory: 17007 grad_norm: 5.6556 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2293 loss: 2.2293 2022/07/27 09:46:12 - mmengine - INFO - Epoch(train) [40][1900/3757] lr: 8.8857e-03 eta: 2 days, 9:43:03 time: 0.3914 data_time: 0.0137 memory: 17007 grad_norm: 5.5893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5108 loss: 2.5108 2022/07/27 09:46:20 - mmengine - INFO - Epoch(train) [40][1920/3757] lr: 8.8857e-03 eta: 2 days, 9:42:55 time: 0.3947 data_time: 0.0169 memory: 17007 grad_norm: 5.5165 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5621 loss: 2.5621 2022/07/27 09:46:28 - mmengine - INFO - Epoch(train) [40][1940/3757] lr: 8.8857e-03 eta: 2 days, 9:42:47 time: 0.3918 data_time: 0.0140 memory: 17007 grad_norm: 5.6707 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3601 loss: 2.3601 2022/07/27 09:46:35 - mmengine - INFO - Epoch(train) [40][1960/3757] lr: 8.8857e-03 eta: 2 days, 9:42:39 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 5.6570 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5322 loss: 2.5322 2022/07/27 09:46:43 - mmengine - INFO - Epoch(train) [40][1980/3757] lr: 8.8857e-03 eta: 2 days, 9:42:31 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 5.7688 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6191 loss: 2.6191 2022/07/27 09:46:51 - mmengine - INFO - Epoch(train) [40][2000/3757] lr: 8.8857e-03 eta: 2 days, 9:42:23 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.8680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4154 loss: 2.4154 2022/07/27 09:46:59 - mmengine - INFO - Epoch(train) [40][2020/3757] lr: 8.8857e-03 eta: 2 days, 9:42:15 time: 0.3918 data_time: 0.0143 memory: 17007 grad_norm: 5.5265 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4935 loss: 2.4935 2022/07/27 09:47:07 - mmengine - INFO - Epoch(train) [40][2040/3757] lr: 8.8857e-03 eta: 2 days, 9:42:07 time: 0.3948 data_time: 0.0169 memory: 17007 grad_norm: 5.7638 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4646 loss: 2.4646 2022/07/27 09:47:15 - mmengine - INFO - Epoch(train) [40][2060/3757] lr: 8.8857e-03 eta: 2 days, 9:41:59 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 5.5802 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3159 loss: 2.3159 2022/07/27 09:47:23 - mmengine - INFO - Epoch(train) [40][2080/3757] lr: 8.8857e-03 eta: 2 days, 9:41:52 time: 0.3965 data_time: 0.0170 memory: 17007 grad_norm: 5.6557 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6700 loss: 2.6700 2022/07/27 09:47:31 - mmengine - INFO - Epoch(train) [40][2100/3757] lr: 8.8857e-03 eta: 2 days, 9:41:44 time: 0.3945 data_time: 0.0135 memory: 17007 grad_norm: 5.8155 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4530 loss: 2.4530 2022/07/27 09:47:38 - mmengine - INFO - Epoch(train) [40][2120/3757] lr: 8.8857e-03 eta: 2 days, 9:41:36 time: 0.3919 data_time: 0.0162 memory: 17007 grad_norm: 5.8549 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6112 loss: 2.6112 2022/07/27 09:47:46 - mmengine - INFO - Epoch(train) [40][2140/3757] lr: 8.8857e-03 eta: 2 days, 9:41:28 time: 0.3966 data_time: 0.0166 memory: 17007 grad_norm: 5.7719 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6072 loss: 2.6072 2022/07/27 09:47:54 - mmengine - INFO - Epoch(train) [40][2160/3757] lr: 8.8857e-03 eta: 2 days, 9:41:20 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 5.6538 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5891 loss: 2.5891 2022/07/27 09:48:02 - mmengine - INFO - Epoch(train) [40][2180/3757] lr: 8.8857e-03 eta: 2 days, 9:41:12 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.6858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5753 loss: 2.5753 2022/07/27 09:48:10 - mmengine - INFO - Epoch(train) [40][2200/3757] lr: 8.8857e-03 eta: 2 days, 9:41:05 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 5.5748 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7237 loss: 2.7237 2022/07/27 09:48:18 - mmengine - INFO - Epoch(train) [40][2220/3757] lr: 8.8857e-03 eta: 2 days, 9:40:56 time: 0.3909 data_time: 0.0139 memory: 17007 grad_norm: 5.9177 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5536 loss: 2.5536 2022/07/27 09:48:26 - mmengine - INFO - Epoch(train) [40][2240/3757] lr: 8.8857e-03 eta: 2 days, 9:40:49 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 5.5286 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5308 loss: 2.5308 2022/07/27 09:48:34 - mmengine - INFO - Epoch(train) [40][2260/3757] lr: 8.8857e-03 eta: 2 days, 9:40:41 time: 0.3943 data_time: 0.0156 memory: 17007 grad_norm: 5.7468 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5805 loss: 2.5805 2022/07/27 09:48:42 - mmengine - INFO - Epoch(train) [40][2280/3757] lr: 8.8857e-03 eta: 2 days, 9:40:33 time: 0.3969 data_time: 0.0171 memory: 17007 grad_norm: 5.6908 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0310 loss: 3.0310 2022/07/27 09:48:49 - mmengine - INFO - Epoch(train) [40][2300/3757] lr: 8.8857e-03 eta: 2 days, 9:40:25 time: 0.3920 data_time: 0.0147 memory: 17007 grad_norm: 5.6873 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3388 loss: 2.3388 2022/07/27 09:48:57 - mmengine - INFO - Epoch(train) [40][2320/3757] lr: 8.8857e-03 eta: 2 days, 9:40:17 time: 0.3954 data_time: 0.0175 memory: 17007 grad_norm: 5.7659 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2993 loss: 2.2993 2022/07/27 09:49:05 - mmengine - INFO - Epoch(train) [40][2340/3757] lr: 8.8857e-03 eta: 2 days, 9:40:10 time: 0.3943 data_time: 0.0140 memory: 17007 grad_norm: 5.6390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2875 loss: 2.2875 2022/07/27 09:49:13 - mmengine - INFO - Epoch(train) [40][2360/3757] lr: 8.8857e-03 eta: 2 days, 9:40:02 time: 0.3990 data_time: 0.0156 memory: 17007 grad_norm: 5.7681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3972 loss: 2.3972 2022/07/27 09:49:21 - mmengine - INFO - Epoch(train) [40][2380/3757] lr: 8.8857e-03 eta: 2 days, 9:39:54 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 5.9005 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6249 loss: 2.6249 2022/07/27 09:49:29 - mmengine - INFO - Epoch(train) [40][2400/3757] lr: 8.8857e-03 eta: 2 days, 9:39:46 time: 0.3933 data_time: 0.0167 memory: 17007 grad_norm: 5.7442 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6801 loss: 2.6801 2022/07/27 09:49:37 - mmengine - INFO - Epoch(train) [40][2420/3757] lr: 8.8857e-03 eta: 2 days, 9:39:38 time: 0.3927 data_time: 0.0138 memory: 17007 grad_norm: 5.7650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5606 loss: 2.5606 2022/07/27 09:49:45 - mmengine - INFO - Epoch(train) [40][2440/3757] lr: 8.8857e-03 eta: 2 days, 9:39:30 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 5.5025 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5871 loss: 2.5871 2022/07/27 09:49:52 - mmengine - INFO - Epoch(train) [40][2460/3757] lr: 8.8857e-03 eta: 2 days, 9:39:22 time: 0.3923 data_time: 0.0143 memory: 17007 grad_norm: 5.8150 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7549 loss: 2.7549 2022/07/27 09:49:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:50:00 - mmengine - INFO - Epoch(train) [40][2480/3757] lr: 8.8857e-03 eta: 2 days, 9:39:15 time: 0.3935 data_time: 0.0171 memory: 17007 grad_norm: 5.6670 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6600 loss: 2.6600 2022/07/27 09:50:08 - mmengine - INFO - Epoch(train) [40][2500/3757] lr: 8.8857e-03 eta: 2 days, 9:39:07 time: 0.3927 data_time: 0.0142 memory: 17007 grad_norm: 5.5983 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4567 loss: 2.4567 2022/07/27 09:50:16 - mmengine - INFO - Epoch(train) [40][2520/3757] lr: 8.8857e-03 eta: 2 days, 9:38:59 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 5.4991 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6836 loss: 2.6836 2022/07/27 09:50:24 - mmengine - INFO - Epoch(train) [40][2540/3757] lr: 8.8857e-03 eta: 2 days, 9:38:51 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 5.6602 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3121 loss: 2.3121 2022/07/27 09:50:32 - mmengine - INFO - Epoch(train) [40][2560/3757] lr: 8.8857e-03 eta: 2 days, 9:38:43 time: 0.3936 data_time: 0.0163 memory: 17007 grad_norm: 5.5250 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4187 loss: 2.4187 2022/07/27 09:50:40 - mmengine - INFO - Epoch(train) [40][2580/3757] lr: 8.8857e-03 eta: 2 days, 9:38:35 time: 0.3930 data_time: 0.0150 memory: 17007 grad_norm: 5.7540 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2774 loss: 2.2774 2022/07/27 09:50:48 - mmengine - INFO - Epoch(train) [40][2600/3757] lr: 8.8857e-03 eta: 2 days, 9:38:27 time: 0.3938 data_time: 0.0170 memory: 17007 grad_norm: 5.7094 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7767 loss: 2.7767 2022/07/27 09:50:55 - mmengine - INFO - Epoch(train) [40][2620/3757] lr: 8.8857e-03 eta: 2 days, 9:38:19 time: 0.3921 data_time: 0.0136 memory: 17007 grad_norm: 5.7932 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7201 loss: 2.7201 2022/07/27 09:51:03 - mmengine - INFO - Epoch(train) [40][2640/3757] lr: 8.8857e-03 eta: 2 days, 9:38:12 time: 0.4033 data_time: 0.0170 memory: 17007 grad_norm: 5.4858 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5308 loss: 2.5308 2022/07/27 09:51:11 - mmengine - INFO - Epoch(train) [40][2660/3757] lr: 8.8857e-03 eta: 2 days, 9:38:04 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 5.6327 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5200 loss: 2.5200 2022/07/27 09:51:19 - mmengine - INFO - Epoch(train) [40][2680/3757] lr: 8.8857e-03 eta: 2 days, 9:37:56 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 5.5998 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3057 loss: 2.3057 2022/07/27 09:51:27 - mmengine - INFO - Epoch(train) [40][2700/3757] lr: 8.8857e-03 eta: 2 days, 9:37:48 time: 0.3958 data_time: 0.0164 memory: 17007 grad_norm: 5.6023 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4072 loss: 2.4072 2022/07/27 09:51:35 - mmengine - INFO - Epoch(train) [40][2720/3757] lr: 8.8857e-03 eta: 2 days, 9:37:40 time: 0.3921 data_time: 0.0162 memory: 17007 grad_norm: 5.6862 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7206 loss: 2.7206 2022/07/27 09:51:43 - mmengine - INFO - Epoch(train) [40][2740/3757] lr: 8.8857e-03 eta: 2 days, 9:37:33 time: 0.3963 data_time: 0.0155 memory: 17007 grad_norm: 5.6475 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2016 loss: 2.2016 2022/07/27 09:51:51 - mmengine - INFO - Epoch(train) [40][2760/3757] lr: 8.8857e-03 eta: 2 days, 9:37:25 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.8094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4465 loss: 2.4465 2022/07/27 09:51:59 - mmengine - INFO - Epoch(train) [40][2780/3757] lr: 8.8857e-03 eta: 2 days, 9:37:17 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 5.7142 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4245 loss: 2.4245 2022/07/27 09:52:06 - mmengine - INFO - Epoch(train) [40][2800/3757] lr: 8.8857e-03 eta: 2 days, 9:37:09 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.7699 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1647 loss: 2.1647 2022/07/27 09:52:14 - mmengine - INFO - Epoch(train) [40][2820/3757] lr: 8.8857e-03 eta: 2 days, 9:37:01 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 5.6454 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6462 loss: 2.6462 2022/07/27 09:52:22 - mmengine - INFO - Epoch(train) [40][2840/3757] lr: 8.8857e-03 eta: 2 days, 9:36:53 time: 0.3942 data_time: 0.0175 memory: 17007 grad_norm: 5.6956 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2954 loss: 2.2954 2022/07/27 09:52:30 - mmengine - INFO - Epoch(train) [40][2860/3757] lr: 8.8857e-03 eta: 2 days, 9:36:45 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 5.8501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8458 loss: 2.8458 2022/07/27 09:52:38 - mmengine - INFO - Epoch(train) [40][2880/3757] lr: 8.8857e-03 eta: 2 days, 9:36:37 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 5.5623 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4669 loss: 2.4669 2022/07/27 09:52:46 - mmengine - INFO - Epoch(train) [40][2900/3757] lr: 8.8857e-03 eta: 2 days, 9:36:30 time: 0.3966 data_time: 0.0151 memory: 17007 grad_norm: 5.6027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2244 loss: 2.2244 2022/07/27 09:52:54 - mmengine - INFO - Epoch(train) [40][2920/3757] lr: 8.8857e-03 eta: 2 days, 9:36:23 time: 0.4082 data_time: 0.0163 memory: 17007 grad_norm: 5.7906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7870 loss: 2.7870 2022/07/27 09:53:02 - mmengine - INFO - Epoch(train) [40][2940/3757] lr: 8.8857e-03 eta: 2 days, 9:36:15 time: 0.3967 data_time: 0.0159 memory: 17007 grad_norm: 5.7852 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3913 loss: 2.3913 2022/07/27 09:53:10 - mmengine - INFO - Epoch(train) [40][2960/3757] lr: 8.8857e-03 eta: 2 days, 9:36:07 time: 0.3940 data_time: 0.0168 memory: 17007 grad_norm: 5.6753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4491 loss: 2.4491 2022/07/27 09:53:18 - mmengine - INFO - Epoch(train) [40][2980/3757] lr: 8.8857e-03 eta: 2 days, 9:36:01 time: 0.4121 data_time: 0.0162 memory: 17007 grad_norm: 5.7094 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5981 loss: 2.5981 2022/07/27 09:53:26 - mmengine - INFO - Epoch(train) [40][3000/3757] lr: 8.8857e-03 eta: 2 days, 9:35:53 time: 0.3976 data_time: 0.0173 memory: 17007 grad_norm: 5.7431 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3269 loss: 2.3269 2022/07/27 09:53:34 - mmengine - INFO - Epoch(train) [40][3020/3757] lr: 8.8857e-03 eta: 2 days, 9:35:45 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 5.7208 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5400 loss: 2.5400 2022/07/27 09:53:42 - mmengine - INFO - Epoch(train) [40][3040/3757] lr: 8.8857e-03 eta: 2 days, 9:35:37 time: 0.3939 data_time: 0.0163 memory: 17007 grad_norm: 5.9404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5010 loss: 2.5010 2022/07/27 09:53:50 - mmengine - INFO - Epoch(train) [40][3060/3757] lr: 8.8857e-03 eta: 2 days, 9:35:29 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.9771 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9622 loss: 2.9622 2022/07/27 09:53:58 - mmengine - INFO - Epoch(train) [40][3080/3757] lr: 8.8857e-03 eta: 2 days, 9:35:22 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 5.9274 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0156 loss: 3.0156 2022/07/27 09:54:05 - mmengine - INFO - Epoch(train) [40][3100/3757] lr: 8.8857e-03 eta: 2 days, 9:35:14 time: 0.3957 data_time: 0.0161 memory: 17007 grad_norm: 5.6951 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.7839 loss: 2.7839 2022/07/27 09:54:13 - mmengine - INFO - Epoch(train) [40][3120/3757] lr: 8.8857e-03 eta: 2 days, 9:35:06 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 5.8297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4165 loss: 2.4165 2022/07/27 09:54:21 - mmengine - INFO - Epoch(train) [40][3140/3757] lr: 8.8857e-03 eta: 2 days, 9:34:58 time: 0.3955 data_time: 0.0165 memory: 17007 grad_norm: 5.8052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6330 loss: 2.6330 2022/07/27 09:54:29 - mmengine - INFO - Epoch(train) [40][3160/3757] lr: 8.8857e-03 eta: 2 days, 9:34:50 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 5.5576 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5954 loss: 2.5954 2022/07/27 09:54:37 - mmengine - INFO - Epoch(train) [40][3180/3757] lr: 8.8857e-03 eta: 2 days, 9:34:42 time: 0.3973 data_time: 0.0163 memory: 17007 grad_norm: 5.6162 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3654 loss: 2.3654 2022/07/27 09:54:45 - mmengine - INFO - Epoch(train) [40][3200/3757] lr: 8.8857e-03 eta: 2 days, 9:34:35 time: 0.3956 data_time: 0.0181 memory: 17007 grad_norm: 5.6947 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5527 loss: 2.5527 2022/07/27 09:54:53 - mmengine - INFO - Epoch(train) [40][3220/3757] lr: 8.8857e-03 eta: 2 days, 9:34:27 time: 0.4005 data_time: 0.0139 memory: 17007 grad_norm: 5.5834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3068 loss: 2.3068 2022/07/27 09:55:01 - mmengine - INFO - Epoch(train) [40][3240/3757] lr: 8.8857e-03 eta: 2 days, 9:34:20 time: 0.3969 data_time: 0.0166 memory: 17007 grad_norm: 5.8338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7891 loss: 2.7891 2022/07/27 09:55:09 - mmengine - INFO - Epoch(train) [40][3260/3757] lr: 8.8857e-03 eta: 2 days, 9:34:12 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 6.0700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5355 loss: 2.5355 2022/07/27 09:55:17 - mmengine - INFO - Epoch(train) [40][3280/3757] lr: 8.8857e-03 eta: 2 days, 9:34:05 time: 0.4069 data_time: 0.0161 memory: 17007 grad_norm: 5.5545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3177 loss: 2.3177 2022/07/27 09:55:25 - mmengine - INFO - Epoch(train) [40][3300/3757] lr: 8.8857e-03 eta: 2 days, 9:33:57 time: 0.3984 data_time: 0.0165 memory: 17007 grad_norm: 5.6230 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6950 loss: 2.6950 2022/07/27 09:55:33 - mmengine - INFO - Epoch(train) [40][3320/3757] lr: 8.8857e-03 eta: 2 days, 9:33:49 time: 0.3937 data_time: 0.0165 memory: 17007 grad_norm: 5.9653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5679 loss: 2.5679 2022/07/27 09:55:41 - mmengine - INFO - Epoch(train) [40][3340/3757] lr: 8.8857e-03 eta: 2 days, 9:33:42 time: 0.3986 data_time: 0.0153 memory: 17007 grad_norm: 5.6155 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5460 loss: 2.5460 2022/07/27 09:55:49 - mmengine - INFO - Epoch(train) [40][3360/3757] lr: 8.8857e-03 eta: 2 days, 9:33:34 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 5.7837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7219 loss: 2.7219 2022/07/27 09:55:57 - mmengine - INFO - Epoch(train) [40][3380/3757] lr: 8.8857e-03 eta: 2 days, 9:33:26 time: 0.3962 data_time: 0.0152 memory: 17007 grad_norm: 5.6612 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5450 loss: 2.5450 2022/07/27 09:56:05 - mmengine - INFO - Epoch(train) [40][3400/3757] lr: 8.8857e-03 eta: 2 days, 9:33:19 time: 0.3972 data_time: 0.0165 memory: 17007 grad_norm: 5.6339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2442 loss: 2.2442 2022/07/27 09:56:12 - mmengine - INFO - Epoch(train) [40][3420/3757] lr: 8.8857e-03 eta: 2 days, 9:33:11 time: 0.3930 data_time: 0.0141 memory: 17007 grad_norm: 5.6751 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5706 loss: 2.5706 2022/07/27 09:56:20 - mmengine - INFO - Epoch(train) [40][3440/3757] lr: 8.8857e-03 eta: 2 days, 9:33:03 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 5.7033 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3347 loss: 2.3347 2022/07/27 09:56:28 - mmengine - INFO - Epoch(train) [40][3460/3757] lr: 8.8857e-03 eta: 2 days, 9:32:55 time: 0.3956 data_time: 0.0146 memory: 17007 grad_norm: 5.6249 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5466 loss: 2.5466 2022/07/27 09:56:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:56:36 - mmengine - INFO - Epoch(train) [40][3480/3757] lr: 8.8857e-03 eta: 2 days, 9:32:47 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 5.6611 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3015 loss: 2.3015 2022/07/27 09:56:44 - mmengine - INFO - Epoch(train) [40][3500/3757] lr: 8.8857e-03 eta: 2 days, 9:32:40 time: 0.3989 data_time: 0.0156 memory: 17007 grad_norm: 5.7627 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4391 loss: 2.4391 2022/07/27 09:56:52 - mmengine - INFO - Epoch(train) [40][3520/3757] lr: 8.8857e-03 eta: 2 days, 9:32:32 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.7127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7139 loss: 2.7139 2022/07/27 09:57:00 - mmengine - INFO - Epoch(train) [40][3540/3757] lr: 8.8857e-03 eta: 2 days, 9:32:24 time: 0.3922 data_time: 0.0147 memory: 17007 grad_norm: 5.6331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3472 loss: 2.3472 2022/07/27 09:57:08 - mmengine - INFO - Epoch(train) [40][3560/3757] lr: 8.8857e-03 eta: 2 days, 9:32:16 time: 0.3992 data_time: 0.0181 memory: 17007 grad_norm: 5.7642 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3871 loss: 2.3871 2022/07/27 09:57:16 - mmengine - INFO - Epoch(train) [40][3580/3757] lr: 8.8857e-03 eta: 2 days, 9:32:08 time: 0.3919 data_time: 0.0137 memory: 17007 grad_norm: 5.6742 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3585 loss: 2.3585 2022/07/27 09:57:24 - mmengine - INFO - Epoch(train) [40][3600/3757] lr: 8.8857e-03 eta: 2 days, 9:32:01 time: 0.3988 data_time: 0.0176 memory: 17007 grad_norm: 5.7573 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5615 loss: 2.5615 2022/07/27 09:57:31 - mmengine - INFO - Epoch(train) [40][3620/3757] lr: 8.8857e-03 eta: 2 days, 9:31:53 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 5.6510 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3449 loss: 2.3449 2022/07/27 09:57:39 - mmengine - INFO - Epoch(train) [40][3640/3757] lr: 8.8857e-03 eta: 2 days, 9:31:45 time: 0.3935 data_time: 0.0170 memory: 17007 grad_norm: 5.7603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2240 loss: 2.2240 2022/07/27 09:57:47 - mmengine - INFO - Epoch(train) [40][3660/3757] lr: 8.8857e-03 eta: 2 days, 9:31:38 time: 0.3997 data_time: 0.0159 memory: 17007 grad_norm: 5.5653 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6525 loss: 2.6525 2022/07/27 09:57:55 - mmengine - INFO - Epoch(train) [40][3680/3757] lr: 8.8857e-03 eta: 2 days, 9:31:30 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.7422 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7339 loss: 2.7339 2022/07/27 09:58:03 - mmengine - INFO - Epoch(train) [40][3700/3757] lr: 8.8857e-03 eta: 2 days, 9:31:22 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 5.6750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3014 loss: 2.3014 2022/07/27 09:58:11 - mmengine - INFO - Epoch(train) [40][3720/3757] lr: 8.8857e-03 eta: 2 days, 9:31:14 time: 0.3924 data_time: 0.0164 memory: 17007 grad_norm: 5.7996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5080 loss: 2.5080 2022/07/27 09:58:19 - mmengine - INFO - Epoch(train) [40][3740/3757] lr: 8.8857e-03 eta: 2 days, 9:31:06 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 5.8577 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6517 loss: 2.6517 2022/07/27 09:58:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 09:58:25 - mmengine - INFO - Epoch(train) [40][3757/3757] lr: 8.8857e-03 eta: 2 days, 9:31:06 time: 0.3961 data_time: 0.0178 memory: 17007 grad_norm: 5.6096 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.3801 loss: 2.3801 2022/07/27 09:58:25 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/07/27 09:58:32 - mmengine - INFO - Epoch(val) [40][20/310] eta: 0:01:07 time: 0.2334 data_time: 0.1270 memory: 3963 2022/07/27 09:58:35 - mmengine - INFO - Epoch(val) [40][40/310] eta: 0:00:40 time: 0.1501 data_time: 0.0451 memory: 3963 2022/07/27 09:58:38 - mmengine - INFO - Epoch(val) [40][60/310] eta: 0:00:43 time: 0.1753 data_time: 0.0702 memory: 3963 2022/07/27 09:58:42 - mmengine - INFO - Epoch(val) [40][80/310] eta: 0:00:39 time: 0.1707 data_time: 0.0651 memory: 3963 2022/07/27 09:58:45 - mmengine - INFO - Epoch(val) [40][100/310] eta: 0:00:35 time: 0.1674 data_time: 0.0634 memory: 3963 2022/07/27 09:58:50 - mmengine - INFO - Epoch(val) [40][120/310] eta: 0:00:48 time: 0.2563 data_time: 0.1535 memory: 3963 2022/07/27 09:59:03 - mmengine - INFO - Epoch(val) [40][140/310] eta: 0:01:48 time: 0.6374 data_time: 0.5367 memory: 3963 2022/07/27 09:59:05 - mmengine - INFO - Epoch(val) [40][160/310] eta: 0:00:16 time: 0.1094 data_time: 0.0104 memory: 3963 2022/07/27 09:59:10 - mmengine - INFO - Epoch(val) [40][180/310] eta: 0:00:27 time: 0.2116 data_time: 0.1128 memory: 3963 2022/07/27 09:59:22 - mmengine - INFO - Epoch(val) [40][200/310] eta: 0:01:09 time: 0.6291 data_time: 0.5245 memory: 3963 2022/07/27 09:59:32 - mmengine - INFO - Epoch(val) [40][220/310] eta: 0:00:43 time: 0.4829 data_time: 0.3829 memory: 3963 2022/07/27 09:59:41 - mmengine - INFO - Epoch(val) [40][240/310] eta: 0:00:30 time: 0.4385 data_time: 0.3388 memory: 3963 2022/07/27 09:59:43 - mmengine - INFO - Epoch(val) [40][260/310] eta: 0:00:06 time: 0.1297 data_time: 0.0311 memory: 3963 2022/07/27 09:59:52 - mmengine - INFO - Epoch(val) [40][280/310] eta: 0:00:13 time: 0.4409 data_time: 0.3393 memory: 3963 2022/07/27 09:59:55 - mmengine - INFO - Epoch(val) [40][300/310] eta: 0:00:01 time: 0.1328 data_time: 0.0316 memory: 3963 2022/07/27 10:00:03 - mmengine - INFO - Epoch(val) [40][310/310] acc/top1: 0.4950 acc/top5: 0.7534 acc/mean1: 0.4950 2022/07/27 10:00:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/07/27 10:00:05 - mmengine - INFO - The best checkpoint with 0.4950 acc/top1 at 41 epoch is saved to best_acc/top1_epoch_41.pth. 2022/07/27 10:00:14 - mmengine - INFO - Epoch(train) [41][20/3757] lr: 8.8302e-03 eta: 2 days, 9:30:32 time: 0.4480 data_time: 0.0724 memory: 17007 grad_norm: 5.5605 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6143 loss: 2.6143 2022/07/27 10:00:22 - mmengine - INFO - Epoch(train) [41][40/3757] lr: 8.8302e-03 eta: 2 days, 9:30:24 time: 0.3957 data_time: 0.0166 memory: 17007 grad_norm: 5.6052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7448 loss: 2.7448 2022/07/27 10:00:29 - mmengine - INFO - Epoch(train) [41][60/3757] lr: 8.8302e-03 eta: 2 days, 9:30:16 time: 0.3909 data_time: 0.0150 memory: 17007 grad_norm: 5.6178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3838 loss: 2.3838 2022/07/27 10:00:37 - mmengine - INFO - Epoch(train) [41][80/3757] lr: 8.8302e-03 eta: 2 days, 9:30:08 time: 0.3958 data_time: 0.0162 memory: 17007 grad_norm: 5.5349 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1962 loss: 2.1962 2022/07/27 10:00:45 - mmengine - INFO - Epoch(train) [41][100/3757] lr: 8.8302e-03 eta: 2 days, 9:30:00 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 5.8034 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5692 loss: 2.5692 2022/07/27 10:00:53 - mmengine - INFO - Epoch(train) [41][120/3757] lr: 8.8302e-03 eta: 2 days, 9:29:52 time: 0.3944 data_time: 0.0167 memory: 17007 grad_norm: 5.4681 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4673 loss: 2.4673 2022/07/27 10:01:01 - mmengine - INFO - Epoch(train) [41][140/3757] lr: 8.8302e-03 eta: 2 days, 9:29:45 time: 0.3952 data_time: 0.0141 memory: 17007 grad_norm: 5.7255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5977 loss: 2.5977 2022/07/27 10:01:09 - mmengine - INFO - Epoch(train) [41][160/3757] lr: 8.8302e-03 eta: 2 days, 9:29:37 time: 0.3914 data_time: 0.0151 memory: 17007 grad_norm: 5.6803 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5445 loss: 2.5445 2022/07/27 10:01:17 - mmengine - INFO - Epoch(train) [41][180/3757] lr: 8.8302e-03 eta: 2 days, 9:29:29 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 5.7906 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6085 loss: 2.6085 2022/07/27 10:01:24 - mmengine - INFO - Epoch(train) [41][200/3757] lr: 8.8302e-03 eta: 2 days, 9:29:21 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 5.5442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2908 loss: 2.2908 2022/07/27 10:01:32 - mmengine - INFO - Epoch(train) [41][220/3757] lr: 8.8302e-03 eta: 2 days, 9:29:13 time: 0.3935 data_time: 0.0165 memory: 17007 grad_norm: 5.5588 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4017 loss: 2.4017 2022/07/27 10:01:40 - mmengine - INFO - Epoch(train) [41][240/3757] lr: 8.8302e-03 eta: 2 days, 9:29:05 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 5.5357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7694 loss: 2.7694 2022/07/27 10:01:48 - mmengine - INFO - Epoch(train) [41][260/3757] lr: 8.8302e-03 eta: 2 days, 9:28:57 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 5.6012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5124 loss: 2.5124 2022/07/27 10:01:56 - mmengine - INFO - Epoch(train) [41][280/3757] lr: 8.8302e-03 eta: 2 days, 9:28:49 time: 0.3934 data_time: 0.0166 memory: 17007 grad_norm: 5.7773 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5070 loss: 2.5070 2022/07/27 10:02:04 - mmengine - INFO - Epoch(train) [41][300/3757] lr: 8.8302e-03 eta: 2 days, 9:28:41 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 5.5484 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3726 loss: 2.3726 2022/07/27 10:02:12 - mmengine - INFO - Epoch(train) [41][320/3757] lr: 8.8302e-03 eta: 2 days, 9:28:33 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 5.7571 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2330 loss: 2.2330 2022/07/27 10:02:20 - mmengine - INFO - Epoch(train) [41][340/3757] lr: 8.8302e-03 eta: 2 days, 9:28:25 time: 0.3920 data_time: 0.0148 memory: 17007 grad_norm: 5.4137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3919 loss: 2.3919 2022/07/27 10:02:27 - mmengine - INFO - Epoch(train) [41][360/3757] lr: 8.8302e-03 eta: 2 days, 9:28:17 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 5.7397 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3138 loss: 2.3138 2022/07/27 10:02:35 - mmengine - INFO - Epoch(train) [41][380/3757] lr: 8.8302e-03 eta: 2 days, 9:28:09 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 5.6981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5531 loss: 2.5531 2022/07/27 10:02:43 - mmengine - INFO - Epoch(train) [41][400/3757] lr: 8.8302e-03 eta: 2 days, 9:28:02 time: 0.3964 data_time: 0.0159 memory: 17007 grad_norm: 5.6585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3472 loss: 2.3472 2022/07/27 10:02:51 - mmengine - INFO - Epoch(train) [41][420/3757] lr: 8.8302e-03 eta: 2 days, 9:27:54 time: 0.3927 data_time: 0.0146 memory: 17007 grad_norm: 5.7044 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4791 loss: 2.4791 2022/07/27 10:02:59 - mmengine - INFO - Epoch(train) [41][440/3757] lr: 8.8302e-03 eta: 2 days, 9:27:46 time: 0.3916 data_time: 0.0158 memory: 17007 grad_norm: 5.6856 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5560 loss: 2.5560 2022/07/27 10:03:07 - mmengine - INFO - Epoch(train) [41][460/3757] lr: 8.8302e-03 eta: 2 days, 9:27:38 time: 0.3999 data_time: 0.0155 memory: 17007 grad_norm: 5.6341 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7323 loss: 2.7323 2022/07/27 10:03:15 - mmengine - INFO - Epoch(train) [41][480/3757] lr: 8.8302e-03 eta: 2 days, 9:27:31 time: 0.3940 data_time: 0.0174 memory: 17007 grad_norm: 5.6568 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5349 loss: 2.5349 2022/07/27 10:03:23 - mmengine - INFO - Epoch(train) [41][500/3757] lr: 8.8302e-03 eta: 2 days, 9:27:23 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 5.5284 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3986 loss: 2.3986 2022/07/27 10:03:31 - mmengine - INFO - Epoch(train) [41][520/3757] lr: 8.8302e-03 eta: 2 days, 9:27:15 time: 0.3924 data_time: 0.0163 memory: 17007 grad_norm: 5.7463 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5918 loss: 2.5918 2022/07/27 10:03:38 - mmengine - INFO - Epoch(train) [41][540/3757] lr: 8.8302e-03 eta: 2 days, 9:27:07 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 5.6311 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3793 loss: 2.3793 2022/07/27 10:03:46 - mmengine - INFO - Epoch(train) [41][560/3757] lr: 8.8302e-03 eta: 2 days, 9:26:59 time: 0.3939 data_time: 0.0168 memory: 17007 grad_norm: 5.7723 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4854 loss: 2.4854 2022/07/27 10:03:54 - mmengine - INFO - Epoch(train) [41][580/3757] lr: 8.8302e-03 eta: 2 days, 9:26:51 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 5.7217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4393 loss: 2.4393 2022/07/27 10:04:02 - mmengine - INFO - Epoch(train) [41][600/3757] lr: 8.8302e-03 eta: 2 days, 9:26:43 time: 0.3960 data_time: 0.0170 memory: 17007 grad_norm: 5.5614 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5305 loss: 2.5305 2022/07/27 10:04:10 - mmengine - INFO - Epoch(train) [41][620/3757] lr: 8.8302e-03 eta: 2 days, 9:26:35 time: 0.3910 data_time: 0.0143 memory: 17007 grad_norm: 5.5368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5986 loss: 2.5986 2022/07/27 10:04:18 - mmengine - INFO - Epoch(train) [41][640/3757] lr: 8.8302e-03 eta: 2 days, 9:26:28 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 5.7498 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3739 loss: 2.3739 2022/07/27 10:04:26 - mmengine - INFO - Epoch(train) [41][660/3757] lr: 8.8302e-03 eta: 2 days, 9:26:20 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 5.7040 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5711 loss: 2.5711 2022/07/27 10:04:34 - mmengine - INFO - Epoch(train) [41][680/3757] lr: 8.8302e-03 eta: 2 days, 9:26:12 time: 0.3959 data_time: 0.0176 memory: 17007 grad_norm: 5.7060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2490 loss: 2.2490 2022/07/27 10:04:42 - mmengine - INFO - Epoch(train) [41][700/3757] lr: 8.8302e-03 eta: 2 days, 9:26:04 time: 0.3986 data_time: 0.0147 memory: 17007 grad_norm: 5.7893 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4840 loss: 2.4840 2022/07/27 10:04:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:04:49 - mmengine - INFO - Epoch(train) [41][720/3757] lr: 8.8302e-03 eta: 2 days, 9:25:57 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 5.7618 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4763 loss: 2.4763 2022/07/27 10:04:57 - mmengine - INFO - Epoch(train) [41][740/3757] lr: 8.8302e-03 eta: 2 days, 9:25:49 time: 0.3936 data_time: 0.0164 memory: 17007 grad_norm: 5.8496 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0488 loss: 3.0488 2022/07/27 10:05:05 - mmengine - INFO - Epoch(train) [41][760/3757] lr: 8.8302e-03 eta: 2 days, 9:25:42 time: 0.4068 data_time: 0.0165 memory: 17007 grad_norm: 5.6805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4800 loss: 2.4800 2022/07/27 10:05:13 - mmengine - INFO - Epoch(train) [41][780/3757] lr: 8.8302e-03 eta: 2 days, 9:25:34 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 5.8054 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5428 loss: 2.5428 2022/07/27 10:05:21 - mmengine - INFO - Epoch(train) [41][800/3757] lr: 8.8302e-03 eta: 2 days, 9:25:26 time: 0.3955 data_time: 0.0173 memory: 17007 grad_norm: 5.6797 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6008 loss: 2.6008 2022/07/27 10:05:29 - mmengine - INFO - Epoch(train) [41][820/3757] lr: 8.8302e-03 eta: 2 days, 9:25:18 time: 0.3905 data_time: 0.0140 memory: 17007 grad_norm: 5.7194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4199 loss: 2.4199 2022/07/27 10:05:37 - mmengine - INFO - Epoch(train) [41][840/3757] lr: 8.8302e-03 eta: 2 days, 9:25:10 time: 0.3943 data_time: 0.0167 memory: 17007 grad_norm: 5.7196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5904 loss: 2.5904 2022/07/27 10:05:45 - mmengine - INFO - Epoch(train) [41][860/3757] lr: 8.8302e-03 eta: 2 days, 9:25:02 time: 0.3953 data_time: 0.0147 memory: 17007 grad_norm: 5.8077 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4027 loss: 2.4027 2022/07/27 10:05:53 - mmengine - INFO - Epoch(train) [41][880/3757] lr: 8.8302e-03 eta: 2 days, 9:24:55 time: 0.3946 data_time: 0.0172 memory: 17007 grad_norm: 6.0100 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5647 loss: 2.5647 2022/07/27 10:06:01 - mmengine - INFO - Epoch(train) [41][900/3757] lr: 8.8302e-03 eta: 2 days, 9:24:47 time: 0.3907 data_time: 0.0144 memory: 17007 grad_norm: 5.6702 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6275 loss: 2.6275 2022/07/27 10:06:08 - mmengine - INFO - Epoch(train) [41][920/3757] lr: 8.8302e-03 eta: 2 days, 9:24:39 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.9124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4948 loss: 2.4948 2022/07/27 10:06:16 - mmengine - INFO - Epoch(train) [41][940/3757] lr: 8.8302e-03 eta: 2 days, 9:24:31 time: 0.3961 data_time: 0.0162 memory: 17007 grad_norm: 5.9335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9256 loss: 2.9256 2022/07/27 10:06:24 - mmengine - INFO - Epoch(train) [41][960/3757] lr: 8.8302e-03 eta: 2 days, 9:24:23 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.6312 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5400 loss: 2.5400 2022/07/27 10:06:32 - mmengine - INFO - Epoch(train) [41][980/3757] lr: 8.8302e-03 eta: 2 days, 9:24:15 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 5.7991 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5936 loss: 2.5936 2022/07/27 10:06:40 - mmengine - INFO - Epoch(train) [41][1000/3757] lr: 8.8302e-03 eta: 2 days, 9:24:07 time: 0.3931 data_time: 0.0165 memory: 17007 grad_norm: 5.7050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5954 loss: 2.5954 2022/07/27 10:06:48 - mmengine - INFO - Epoch(train) [41][1020/3757] lr: 8.8302e-03 eta: 2 days, 9:23:59 time: 0.3930 data_time: 0.0146 memory: 17007 grad_norm: 5.8798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3552 loss: 2.3552 2022/07/27 10:06:56 - mmengine - INFO - Epoch(train) [41][1040/3757] lr: 8.8302e-03 eta: 2 days, 9:23:52 time: 0.3973 data_time: 0.0177 memory: 17007 grad_norm: 5.6090 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.7050 loss: 2.7050 2022/07/27 10:07:04 - mmengine - INFO - Epoch(train) [41][1060/3757] lr: 8.8302e-03 eta: 2 days, 9:23:44 time: 0.3988 data_time: 0.0145 memory: 17007 grad_norm: 5.6512 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6201 loss: 2.6201 2022/07/27 10:07:12 - mmengine - INFO - Epoch(train) [41][1080/3757] lr: 8.8302e-03 eta: 2 days, 9:23:36 time: 0.3948 data_time: 0.0175 memory: 17007 grad_norm: 5.7919 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5748 loss: 2.5748 2022/07/27 10:07:20 - mmengine - INFO - Epoch(train) [41][1100/3757] lr: 8.8302e-03 eta: 2 days, 9:23:28 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 5.7700 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7516 loss: 2.7516 2022/07/27 10:07:27 - mmengine - INFO - Epoch(train) [41][1120/3757] lr: 8.8302e-03 eta: 2 days, 9:23:21 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 5.6627 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2788 loss: 2.2788 2022/07/27 10:07:35 - mmengine - INFO - Epoch(train) [41][1140/3757] lr: 8.8302e-03 eta: 2 days, 9:23:13 time: 0.3945 data_time: 0.0168 memory: 17007 grad_norm: 5.7687 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2627 loss: 2.2627 2022/07/27 10:07:43 - mmengine - INFO - Epoch(train) [41][1160/3757] lr: 8.8302e-03 eta: 2 days, 9:23:05 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.7143 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3562 loss: 2.3562 2022/07/27 10:07:51 - mmengine - INFO - Epoch(train) [41][1180/3757] lr: 8.8302e-03 eta: 2 days, 9:22:57 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 5.5121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2907 loss: 2.2907 2022/07/27 10:07:59 - mmengine - INFO - Epoch(train) [41][1200/3757] lr: 8.8302e-03 eta: 2 days, 9:22:49 time: 0.3970 data_time: 0.0167 memory: 17007 grad_norm: 5.4925 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3894 loss: 2.3894 2022/07/27 10:08:07 - mmengine - INFO - Epoch(train) [41][1220/3757] lr: 8.8302e-03 eta: 2 days, 9:22:42 time: 0.3965 data_time: 0.0145 memory: 17007 grad_norm: 5.7237 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6356 loss: 2.6356 2022/07/27 10:08:15 - mmengine - INFO - Epoch(train) [41][1240/3757] lr: 8.8302e-03 eta: 2 days, 9:22:34 time: 0.3964 data_time: 0.0173 memory: 17007 grad_norm: 5.6532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4527 loss: 2.4527 2022/07/27 10:08:23 - mmengine - INFO - Epoch(train) [41][1260/3757] lr: 8.8302e-03 eta: 2 days, 9:22:26 time: 0.3977 data_time: 0.0150 memory: 17007 grad_norm: 5.6438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2894 loss: 2.2894 2022/07/27 10:08:31 - mmengine - INFO - Epoch(train) [41][1280/3757] lr: 8.8302e-03 eta: 2 days, 9:22:18 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.6755 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6510 loss: 2.6510 2022/07/27 10:08:39 - mmengine - INFO - Epoch(train) [41][1300/3757] lr: 8.8302e-03 eta: 2 days, 9:22:11 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 5.5759 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4757 loss: 2.4757 2022/07/27 10:08:46 - mmengine - INFO - Epoch(train) [41][1320/3757] lr: 8.8302e-03 eta: 2 days, 9:22:03 time: 0.3945 data_time: 0.0174 memory: 17007 grad_norm: 5.7473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4557 loss: 2.4557 2022/07/27 10:08:54 - mmengine - INFO - Epoch(train) [41][1340/3757] lr: 8.8302e-03 eta: 2 days, 9:21:55 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.5504 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3517 loss: 2.3517 2022/07/27 10:09:02 - mmengine - INFO - Epoch(train) [41][1360/3757] lr: 8.8302e-03 eta: 2 days, 9:21:47 time: 0.3937 data_time: 0.0165 memory: 17007 grad_norm: 5.5498 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4702 loss: 2.4702 2022/07/27 10:09:10 - mmengine - INFO - Epoch(train) [41][1380/3757] lr: 8.8302e-03 eta: 2 days, 9:21:39 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 5.7868 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5826 loss: 2.5826 2022/07/27 10:09:18 - mmengine - INFO - Epoch(train) [41][1400/3757] lr: 8.8302e-03 eta: 2 days, 9:21:31 time: 0.3982 data_time: 0.0176 memory: 17007 grad_norm: 5.8301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5246 loss: 2.5246 2022/07/27 10:09:26 - mmengine - INFO - Epoch(train) [41][1420/3757] lr: 8.8302e-03 eta: 2 days, 9:21:23 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 5.6002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4685 loss: 2.4685 2022/07/27 10:09:34 - mmengine - INFO - Epoch(train) [41][1440/3757] lr: 8.8302e-03 eta: 2 days, 9:21:15 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 5.4208 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3680 loss: 2.3680 2022/07/27 10:09:42 - mmengine - INFO - Epoch(train) [41][1460/3757] lr: 8.8302e-03 eta: 2 days, 9:21:08 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 5.8292 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6062 loss: 2.6062 2022/07/27 10:09:49 - mmengine - INFO - Epoch(train) [41][1480/3757] lr: 8.8302e-03 eta: 2 days, 9:21:00 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 5.7962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2457 loss: 2.2457 2022/07/27 10:09:57 - mmengine - INFO - Epoch(train) [41][1500/3757] lr: 8.8302e-03 eta: 2 days, 9:20:52 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 6.0046 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6878 loss: 2.6878 2022/07/27 10:10:05 - mmengine - INFO - Epoch(train) [41][1520/3757] lr: 8.8302e-03 eta: 2 days, 9:20:44 time: 0.3950 data_time: 0.0176 memory: 17007 grad_norm: 5.7381 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6165 loss: 2.6165 2022/07/27 10:10:13 - mmengine - INFO - Epoch(train) [41][1540/3757] lr: 8.8302e-03 eta: 2 days, 9:20:36 time: 0.3962 data_time: 0.0154 memory: 17007 grad_norm: 5.6451 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5703 loss: 2.5703 2022/07/27 10:10:21 - mmengine - INFO - Epoch(train) [41][1560/3757] lr: 8.8302e-03 eta: 2 days, 9:20:28 time: 0.3933 data_time: 0.0168 memory: 17007 grad_norm: 5.5653 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2496 loss: 2.2496 2022/07/27 10:10:29 - mmengine - INFO - Epoch(train) [41][1580/3757] lr: 8.8302e-03 eta: 2 days, 9:20:20 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.6279 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3593 loss: 2.3593 2022/07/27 10:10:37 - mmengine - INFO - Epoch(train) [41][1600/3757] lr: 8.8302e-03 eta: 2 days, 9:20:13 time: 0.3957 data_time: 0.0158 memory: 17007 grad_norm: 5.7814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0361 loss: 3.0361 2022/07/27 10:10:45 - mmengine - INFO - Epoch(train) [41][1620/3757] lr: 8.8302e-03 eta: 2 days, 9:20:05 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 5.7920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2364 loss: 2.2364 2022/07/27 10:10:52 - mmengine - INFO - Epoch(train) [41][1640/3757] lr: 8.8302e-03 eta: 2 days, 9:19:57 time: 0.3934 data_time: 0.0163 memory: 17007 grad_norm: 5.9828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9262 loss: 2.9262 2022/07/27 10:11:00 - mmengine - INFO - Epoch(train) [41][1660/3757] lr: 8.8302e-03 eta: 2 days, 9:19:49 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 5.7946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5148 loss: 2.5148 2022/07/27 10:11:08 - mmengine - INFO - Epoch(train) [41][1680/3757] lr: 8.8302e-03 eta: 2 days, 9:19:41 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 5.7921 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7222 loss: 2.7222 2022/07/27 10:11:16 - mmengine - INFO - Epoch(train) [41][1700/3757] lr: 8.8302e-03 eta: 2 days, 9:19:33 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 5.6692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5185 loss: 2.5185 2022/07/27 10:11:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:11:24 - mmengine - INFO - Epoch(train) [41][1720/3757] lr: 8.8302e-03 eta: 2 days, 9:19:25 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 5.8292 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4145 loss: 2.4145 2022/07/27 10:11:32 - mmengine - INFO - Epoch(train) [41][1740/3757] lr: 8.8302e-03 eta: 2 days, 9:19:17 time: 0.3914 data_time: 0.0150 memory: 17007 grad_norm: 5.5923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6201 loss: 2.6201 2022/07/27 10:11:40 - mmengine - INFO - Epoch(train) [41][1760/3757] lr: 8.8302e-03 eta: 2 days, 9:19:09 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 5.5699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3898 loss: 2.3898 2022/07/27 10:11:47 - mmengine - INFO - Epoch(train) [41][1780/3757] lr: 8.8302e-03 eta: 2 days, 9:19:01 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 5.5653 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7013 loss: 2.7013 2022/07/27 10:11:55 - mmengine - INFO - Epoch(train) [41][1800/3757] lr: 8.8302e-03 eta: 2 days, 9:18:53 time: 0.3953 data_time: 0.0168 memory: 17007 grad_norm: 5.6691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4395 loss: 2.4395 2022/07/27 10:12:03 - mmengine - INFO - Epoch(train) [41][1820/3757] lr: 8.8302e-03 eta: 2 days, 9:18:46 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 5.6223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3751 loss: 2.3751 2022/07/27 10:12:11 - mmengine - INFO - Epoch(train) [41][1840/3757] lr: 8.8302e-03 eta: 2 days, 9:18:38 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 6.0585 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5816 loss: 2.5816 2022/07/27 10:12:19 - mmengine - INFO - Epoch(train) [41][1860/3757] lr: 8.8302e-03 eta: 2 days, 9:18:30 time: 0.3954 data_time: 0.0151 memory: 17007 grad_norm: 5.8189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2328 loss: 2.2328 2022/07/27 10:12:27 - mmengine - INFO - Epoch(train) [41][1880/3757] lr: 8.8302e-03 eta: 2 days, 9:18:22 time: 0.3931 data_time: 0.0162 memory: 17007 grad_norm: 5.6336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3901 loss: 2.3901 2022/07/27 10:12:35 - mmengine - INFO - Epoch(train) [41][1900/3757] lr: 8.8302e-03 eta: 2 days, 9:18:14 time: 0.3994 data_time: 0.0159 memory: 17007 grad_norm: 5.8203 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4014 loss: 2.4014 2022/07/27 10:12:43 - mmengine - INFO - Epoch(train) [41][1920/3757] lr: 8.8302e-03 eta: 2 days, 9:18:06 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 5.7645 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8748 loss: 2.8748 2022/07/27 10:12:51 - mmengine - INFO - Epoch(train) [41][1940/3757] lr: 8.8302e-03 eta: 2 days, 9:17:58 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.7561 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4320 loss: 2.4320 2022/07/27 10:12:58 - mmengine - INFO - Epoch(train) [41][1960/3757] lr: 8.8302e-03 eta: 2 days, 9:17:51 time: 0.3963 data_time: 0.0171 memory: 17007 grad_norm: 5.6413 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2714 loss: 2.2714 2022/07/27 10:13:06 - mmengine - INFO - Epoch(train) [41][1980/3757] lr: 8.8302e-03 eta: 2 days, 9:17:43 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 5.7314 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4177 loss: 2.4177 2022/07/27 10:13:14 - mmengine - INFO - Epoch(train) [41][2000/3757] lr: 8.8302e-03 eta: 2 days, 9:17:35 time: 0.3955 data_time: 0.0172 memory: 17007 grad_norm: 5.7456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2506 loss: 2.2506 2022/07/27 10:13:22 - mmengine - INFO - Epoch(train) [41][2020/3757] lr: 8.8302e-03 eta: 2 days, 9:17:27 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 5.8322 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5382 loss: 2.5382 2022/07/27 10:13:30 - mmengine - INFO - Epoch(train) [41][2040/3757] lr: 8.8302e-03 eta: 2 days, 9:17:19 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 5.8313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7733 loss: 2.7733 2022/07/27 10:13:38 - mmengine - INFO - Epoch(train) [41][2060/3757] lr: 8.8302e-03 eta: 2 days, 9:17:11 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 5.9420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8519 loss: 2.8519 2022/07/27 10:13:46 - mmengine - INFO - Epoch(train) [41][2080/3757] lr: 8.8302e-03 eta: 2 days, 9:17:03 time: 0.3938 data_time: 0.0174 memory: 17007 grad_norm: 5.7350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7243 loss: 2.7243 2022/07/27 10:13:54 - mmengine - INFO - Epoch(train) [41][2100/3757] lr: 8.8302e-03 eta: 2 days, 9:16:55 time: 0.3925 data_time: 0.0146 memory: 17007 grad_norm: 5.7474 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5526 loss: 2.5526 2022/07/27 10:14:01 - mmengine - INFO - Epoch(train) [41][2120/3757] lr: 8.8302e-03 eta: 2 days, 9:16:48 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 5.7686 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8726 loss: 2.8726 2022/07/27 10:14:09 - mmengine - INFO - Epoch(train) [41][2140/3757] lr: 8.8302e-03 eta: 2 days, 9:16:40 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 5.7209 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4363 loss: 2.4363 2022/07/27 10:14:17 - mmengine - INFO - Epoch(train) [41][2160/3757] lr: 8.8302e-03 eta: 2 days, 9:16:32 time: 0.3976 data_time: 0.0166 memory: 17007 grad_norm: 5.8547 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6511 loss: 2.6511 2022/07/27 10:14:25 - mmengine - INFO - Epoch(train) [41][2180/3757] lr: 8.8302e-03 eta: 2 days, 9:16:24 time: 0.3900 data_time: 0.0132 memory: 17007 grad_norm: 5.7847 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7458 loss: 2.7458 2022/07/27 10:14:33 - mmengine - INFO - Epoch(train) [41][2200/3757] lr: 8.8302e-03 eta: 2 days, 9:16:16 time: 0.3993 data_time: 0.0171 memory: 17007 grad_norm: 5.7418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6721 loss: 2.6721 2022/07/27 10:14:41 - mmengine - INFO - Epoch(train) [41][2220/3757] lr: 8.8302e-03 eta: 2 days, 9:16:08 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 5.7509 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3791 loss: 2.3791 2022/07/27 10:14:49 - mmengine - INFO - Epoch(train) [41][2240/3757] lr: 8.8302e-03 eta: 2 days, 9:16:01 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 5.7256 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3073 loss: 2.3073 2022/07/27 10:14:57 - mmengine - INFO - Epoch(train) [41][2260/3757] lr: 8.8302e-03 eta: 2 days, 9:15:53 time: 0.4023 data_time: 0.0156 memory: 17007 grad_norm: 5.6188 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3943 loss: 2.3943 2022/07/27 10:15:05 - mmengine - INFO - Epoch(train) [41][2280/3757] lr: 8.8302e-03 eta: 2 days, 9:15:46 time: 0.3938 data_time: 0.0169 memory: 17007 grad_norm: 5.5885 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5150 loss: 2.5150 2022/07/27 10:15:13 - mmengine - INFO - Epoch(train) [41][2300/3757] lr: 8.8302e-03 eta: 2 days, 9:15:38 time: 0.3982 data_time: 0.0159 memory: 17007 grad_norm: 5.7691 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4466 loss: 2.4466 2022/07/27 10:15:21 - mmengine - INFO - Epoch(train) [41][2320/3757] lr: 8.8302e-03 eta: 2 days, 9:15:30 time: 0.3923 data_time: 0.0167 memory: 17007 grad_norm: 6.0060 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7555 loss: 2.7555 2022/07/27 10:15:28 - mmengine - INFO - Epoch(train) [41][2340/3757] lr: 8.8302e-03 eta: 2 days, 9:15:22 time: 0.3913 data_time: 0.0136 memory: 17007 grad_norm: 5.7893 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2795 loss: 2.2795 2022/07/27 10:15:36 - mmengine - INFO - Epoch(train) [41][2360/3757] lr: 8.8302e-03 eta: 2 days, 9:15:14 time: 0.3955 data_time: 0.0170 memory: 17007 grad_norm: 5.4897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2999 loss: 2.2999 2022/07/27 10:15:44 - mmengine - INFO - Epoch(train) [41][2380/3757] lr: 8.8302e-03 eta: 2 days, 9:15:06 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 5.6388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3434 loss: 2.3434 2022/07/27 10:15:52 - mmengine - INFO - Epoch(train) [41][2400/3757] lr: 8.8302e-03 eta: 2 days, 9:14:58 time: 0.3915 data_time: 0.0153 memory: 17007 grad_norm: 5.9194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3187 loss: 2.3187 2022/07/27 10:16:00 - mmengine - INFO - Epoch(train) [41][2420/3757] lr: 8.8302e-03 eta: 2 days, 9:14:50 time: 0.3932 data_time: 0.0140 memory: 17007 grad_norm: 5.8050 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2577 loss: 2.2577 2022/07/27 10:16:08 - mmengine - INFO - Epoch(train) [41][2440/3757] lr: 8.8302e-03 eta: 2 days, 9:14:43 time: 0.3996 data_time: 0.0157 memory: 17007 grad_norm: 5.6301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6214 loss: 2.6214 2022/07/27 10:16:16 - mmengine - INFO - Epoch(train) [41][2460/3757] lr: 8.8302e-03 eta: 2 days, 9:14:35 time: 0.3924 data_time: 0.0138 memory: 17007 grad_norm: 5.8561 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5663 loss: 2.5663 2022/07/27 10:16:24 - mmengine - INFO - Epoch(train) [41][2480/3757] lr: 8.8302e-03 eta: 2 days, 9:14:27 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 5.4936 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4728 loss: 2.4728 2022/07/27 10:16:32 - mmengine - INFO - Epoch(train) [41][2500/3757] lr: 8.8302e-03 eta: 2 days, 9:14:23 time: 0.4445 data_time: 0.0133 memory: 17007 grad_norm: 5.7667 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6106 loss: 2.6106 2022/07/27 10:16:40 - mmengine - INFO - Epoch(train) [41][2520/3757] lr: 8.8302e-03 eta: 2 days, 9:14:15 time: 0.3914 data_time: 0.0148 memory: 17007 grad_norm: 5.6909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4874 loss: 2.4874 2022/07/27 10:16:48 - mmengine - INFO - Epoch(train) [41][2540/3757] lr: 8.8302e-03 eta: 2 days, 9:14:07 time: 0.3978 data_time: 0.0147 memory: 17007 grad_norm: 5.7437 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.9008 loss: 2.9008 2022/07/27 10:16:56 - mmengine - INFO - Epoch(train) [41][2560/3757] lr: 8.8302e-03 eta: 2 days, 9:13:59 time: 0.3964 data_time: 0.0165 memory: 17007 grad_norm: 5.6254 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5697 loss: 2.5697 2022/07/27 10:17:04 - mmengine - INFO - Epoch(train) [41][2580/3757] lr: 8.8302e-03 eta: 2 days, 9:13:51 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 5.6129 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3990 loss: 2.3990 2022/07/27 10:17:12 - mmengine - INFO - Epoch(train) [41][2600/3757] lr: 8.8302e-03 eta: 2 days, 9:13:43 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.7859 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4395 loss: 2.4395 2022/07/27 10:17:20 - mmengine - INFO - Epoch(train) [41][2620/3757] lr: 8.8302e-03 eta: 2 days, 9:13:36 time: 0.4006 data_time: 0.0148 memory: 17007 grad_norm: 5.9468 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7811 loss: 2.7811 2022/07/27 10:17:28 - mmengine - INFO - Epoch(train) [41][2640/3757] lr: 8.8302e-03 eta: 2 days, 9:13:28 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.5592 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5664 loss: 2.5664 2022/07/27 10:17:36 - mmengine - INFO - Epoch(train) [41][2660/3757] lr: 8.8302e-03 eta: 2 days, 9:13:21 time: 0.4031 data_time: 0.0140 memory: 17007 grad_norm: 5.7744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8422 loss: 2.8422 2022/07/27 10:17:44 - mmengine - INFO - Epoch(train) [41][2680/3757] lr: 8.8302e-03 eta: 2 days, 9:13:13 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 5.7178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7835 loss: 2.7835 2022/07/27 10:17:51 - mmengine - INFO - Epoch(train) [41][2700/3757] lr: 8.8302e-03 eta: 2 days, 9:13:05 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 5.6681 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6011 loss: 2.6011 2022/07/27 10:17:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:18:00 - mmengine - INFO - Epoch(train) [41][2720/3757] lr: 8.8302e-03 eta: 2 days, 9:12:57 time: 0.4022 data_time: 0.0169 memory: 17007 grad_norm: 6.3217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3605 loss: 2.3605 2022/07/27 10:18:07 - mmengine - INFO - Epoch(train) [41][2740/3757] lr: 8.8302e-03 eta: 2 days, 9:12:49 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 5.6541 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5863 loss: 2.5863 2022/07/27 10:18:16 - mmengine - INFO - Epoch(train) [41][2760/3757] lr: 8.8302e-03 eta: 2 days, 9:12:43 time: 0.4166 data_time: 0.0157 memory: 17007 grad_norm: 5.5110 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3632 loss: 2.3632 2022/07/27 10:18:24 - mmengine - INFO - Epoch(train) [41][2780/3757] lr: 8.8302e-03 eta: 2 days, 9:12:35 time: 0.3927 data_time: 0.0152 memory: 17007 grad_norm: 5.8985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6877 loss: 2.6877 2022/07/27 10:18:31 - mmengine - INFO - Epoch(train) [41][2800/3757] lr: 8.8302e-03 eta: 2 days, 9:12:27 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 5.6751 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5169 loss: 2.5169 2022/07/27 10:18:39 - mmengine - INFO - Epoch(train) [41][2820/3757] lr: 8.8302e-03 eta: 2 days, 9:12:19 time: 0.3924 data_time: 0.0175 memory: 17007 grad_norm: 5.5034 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5398 loss: 2.5398 2022/07/27 10:18:47 - mmengine - INFO - Epoch(train) [41][2840/3757] lr: 8.8302e-03 eta: 2 days, 9:12:11 time: 0.3920 data_time: 0.0146 memory: 17007 grad_norm: 5.7267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3754 loss: 2.3754 2022/07/27 10:18:55 - mmengine - INFO - Epoch(train) [41][2860/3757] lr: 8.8302e-03 eta: 2 days, 9:12:04 time: 0.3997 data_time: 0.0148 memory: 17007 grad_norm: 5.8132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1636 loss: 2.1636 2022/07/27 10:19:03 - mmengine - INFO - Epoch(train) [41][2880/3757] lr: 8.8302e-03 eta: 2 days, 9:11:56 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 5.6961 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6483 loss: 2.6483 2022/07/27 10:19:11 - mmengine - INFO - Epoch(train) [41][2900/3757] lr: 8.8302e-03 eta: 2 days, 9:11:48 time: 0.3909 data_time: 0.0132 memory: 17007 grad_norm: 5.8754 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4629 loss: 2.4629 2022/07/27 10:19:19 - mmengine - INFO - Epoch(train) [41][2920/3757] lr: 8.8302e-03 eta: 2 days, 9:11:41 time: 0.4005 data_time: 0.0174 memory: 17007 grad_norm: 5.6871 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8221 loss: 2.8221 2022/07/27 10:19:27 - mmengine - INFO - Epoch(train) [41][2940/3757] lr: 8.8302e-03 eta: 2 days, 9:11:33 time: 0.3920 data_time: 0.0150 memory: 17007 grad_norm: 5.9064 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6160 loss: 2.6160 2022/07/27 10:19:35 - mmengine - INFO - Epoch(train) [41][2960/3757] lr: 8.8302e-03 eta: 2 days, 9:11:25 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.8156 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3728 loss: 2.3728 2022/07/27 10:19:42 - mmengine - INFO - Epoch(train) [41][2980/3757] lr: 8.8302e-03 eta: 2 days, 9:11:17 time: 0.3913 data_time: 0.0134 memory: 17007 grad_norm: 5.7210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5025 loss: 2.5025 2022/07/27 10:19:50 - mmengine - INFO - Epoch(train) [41][3000/3757] lr: 8.8302e-03 eta: 2 days, 9:11:09 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 5.7106 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5881 loss: 2.5881 2022/07/27 10:19:58 - mmengine - INFO - Epoch(train) [41][3020/3757] lr: 8.8302e-03 eta: 2 days, 9:11:01 time: 0.3932 data_time: 0.0167 memory: 17007 grad_norm: 5.8581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5629 loss: 2.5629 2022/07/27 10:20:06 - mmengine - INFO - Epoch(train) [41][3040/3757] lr: 8.8302e-03 eta: 2 days, 9:10:53 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 5.7077 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4760 loss: 2.4760 2022/07/27 10:20:14 - mmengine - INFO - Epoch(train) [41][3060/3757] lr: 8.8302e-03 eta: 2 days, 9:10:45 time: 0.3934 data_time: 0.0168 memory: 17007 grad_norm: 5.8483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4723 loss: 2.4723 2022/07/27 10:20:22 - mmengine - INFO - Epoch(train) [41][3080/3757] lr: 8.8302e-03 eta: 2 days, 9:10:37 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 5.7632 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4281 loss: 2.4281 2022/07/27 10:20:30 - mmengine - INFO - Epoch(train) [41][3100/3757] lr: 8.8302e-03 eta: 2 days, 9:10:29 time: 0.3923 data_time: 0.0136 memory: 17007 grad_norm: 5.8095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4439 loss: 2.4439 2022/07/27 10:20:37 - mmengine - INFO - Epoch(train) [41][3120/3757] lr: 8.8302e-03 eta: 2 days, 9:10:21 time: 0.3971 data_time: 0.0162 memory: 17007 grad_norm: 5.9783 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6559 loss: 2.6559 2022/07/27 10:20:45 - mmengine - INFO - Epoch(train) [41][3140/3757] lr: 8.8302e-03 eta: 2 days, 9:10:13 time: 0.3912 data_time: 0.0136 memory: 17007 grad_norm: 5.8298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5398 loss: 2.5398 2022/07/27 10:20:53 - mmengine - INFO - Epoch(train) [41][3160/3757] lr: 8.8302e-03 eta: 2 days, 9:10:06 time: 0.3995 data_time: 0.0171 memory: 17007 grad_norm: 5.6179 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3739 loss: 2.3739 2022/07/27 10:21:01 - mmengine - INFO - Epoch(train) [41][3180/3757] lr: 8.8302e-03 eta: 2 days, 9:09:58 time: 0.3898 data_time: 0.0141 memory: 17007 grad_norm: 6.1565 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8841 loss: 2.8841 2022/07/27 10:21:09 - mmengine - INFO - Epoch(train) [41][3200/3757] lr: 8.8302e-03 eta: 2 days, 9:09:50 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 5.6585 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4316 loss: 2.4316 2022/07/27 10:21:17 - mmengine - INFO - Epoch(train) [41][3220/3757] lr: 8.8302e-03 eta: 2 days, 9:09:42 time: 0.3930 data_time: 0.0145 memory: 17007 grad_norm: 5.7645 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4997 loss: 2.4997 2022/07/27 10:21:25 - mmengine - INFO - Epoch(train) [41][3240/3757] lr: 8.8302e-03 eta: 2 days, 9:09:34 time: 0.3929 data_time: 0.0165 memory: 17007 grad_norm: 5.6722 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7293 loss: 2.7293 2022/07/27 10:21:33 - mmengine - INFO - Epoch(train) [41][3260/3757] lr: 8.8302e-03 eta: 2 days, 9:09:26 time: 0.3924 data_time: 0.0139 memory: 17007 grad_norm: 5.7503 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8114 loss: 2.8114 2022/07/27 10:21:40 - mmengine - INFO - Epoch(train) [41][3280/3757] lr: 8.8302e-03 eta: 2 days, 9:09:18 time: 0.3941 data_time: 0.0169 memory: 17007 grad_norm: 5.7678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6389 loss: 2.6389 2022/07/27 10:21:48 - mmengine - INFO - Epoch(train) [41][3300/3757] lr: 8.8302e-03 eta: 2 days, 9:09:10 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 5.5847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6657 loss: 2.6657 2022/07/27 10:21:56 - mmengine - INFO - Epoch(train) [41][3320/3757] lr: 8.8302e-03 eta: 2 days, 9:09:03 time: 0.4007 data_time: 0.0193 memory: 17007 grad_norm: 5.6835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3437 loss: 2.3437 2022/07/27 10:22:04 - mmengine - INFO - Epoch(train) [41][3340/3757] lr: 8.8302e-03 eta: 2 days, 9:08:55 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 5.8522 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4597 loss: 2.4597 2022/07/27 10:22:12 - mmengine - INFO - Epoch(train) [41][3360/3757] lr: 8.8302e-03 eta: 2 days, 9:08:47 time: 0.3924 data_time: 0.0162 memory: 17007 grad_norm: 5.6827 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7202 loss: 2.7202 2022/07/27 10:22:20 - mmengine - INFO - Epoch(train) [41][3380/3757] lr: 8.8302e-03 eta: 2 days, 9:08:39 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 5.5697 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3773 loss: 2.3773 2022/07/27 10:22:28 - mmengine - INFO - Epoch(train) [41][3400/3757] lr: 8.8302e-03 eta: 2 days, 9:08:31 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 5.8187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3439 loss: 2.3439 2022/07/27 10:22:36 - mmengine - INFO - Epoch(train) [41][3420/3757] lr: 8.8302e-03 eta: 2 days, 9:08:23 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 5.6989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3452 loss: 2.3452 2022/07/27 10:22:43 - mmengine - INFO - Epoch(train) [41][3440/3757] lr: 8.8302e-03 eta: 2 days, 9:08:15 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 5.9548 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5542 loss: 2.5542 2022/07/27 10:22:51 - mmengine - INFO - Epoch(train) [41][3460/3757] lr: 8.8302e-03 eta: 2 days, 9:08:07 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.7786 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4575 loss: 2.4575 2022/07/27 10:22:59 - mmengine - INFO - Epoch(train) [41][3480/3757] lr: 8.8302e-03 eta: 2 days, 9:07:59 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 5.9087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4666 loss: 2.4666 2022/07/27 10:23:07 - mmengine - INFO - Epoch(train) [41][3500/3757] lr: 8.8302e-03 eta: 2 days, 9:07:51 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 5.8282 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5540 loss: 2.5540 2022/07/27 10:23:15 - mmengine - INFO - Epoch(train) [41][3520/3757] lr: 8.8302e-03 eta: 2 days, 9:07:44 time: 0.4065 data_time: 0.0173 memory: 17007 grad_norm: 5.5773 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3019 loss: 2.3019 2022/07/27 10:23:23 - mmengine - INFO - Epoch(train) [41][3540/3757] lr: 8.8302e-03 eta: 2 days, 9:07:37 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 5.7326 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5083 loss: 2.5083 2022/07/27 10:23:31 - mmengine - INFO - Epoch(train) [41][3560/3757] lr: 8.8302e-03 eta: 2 days, 9:07:29 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 5.7209 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5155 loss: 2.5155 2022/07/27 10:23:39 - mmengine - INFO - Epoch(train) [41][3580/3757] lr: 8.8302e-03 eta: 2 days, 9:07:22 time: 0.4114 data_time: 0.0164 memory: 17007 grad_norm: 5.5978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3246 loss: 2.3246 2022/07/27 10:23:47 - mmengine - INFO - Epoch(train) [41][3600/3757] lr: 8.8302e-03 eta: 2 days, 9:07:14 time: 0.3917 data_time: 0.0156 memory: 17007 grad_norm: 5.6039 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4645 loss: 2.4645 2022/07/27 10:23:55 - mmengine - INFO - Epoch(train) [41][3620/3757] lr: 8.8302e-03 eta: 2 days, 9:07:06 time: 0.3987 data_time: 0.0165 memory: 17007 grad_norm: 5.9327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6731 loss: 2.6731 2022/07/27 10:24:03 - mmengine - INFO - Epoch(train) [41][3640/3757] lr: 8.8302e-03 eta: 2 days, 9:06:58 time: 0.3930 data_time: 0.0164 memory: 17007 grad_norm: 5.8829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5811 loss: 2.5811 2022/07/27 10:24:11 - mmengine - INFO - Epoch(train) [41][3660/3757] lr: 8.8302e-03 eta: 2 days, 9:06:50 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.5414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6333 loss: 2.6333 2022/07/27 10:24:19 - mmengine - INFO - Epoch(train) [41][3680/3757] lr: 8.8302e-03 eta: 2 days, 9:06:44 time: 0.4172 data_time: 0.0182 memory: 17007 grad_norm: 5.6914 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6875 loss: 2.6875 2022/07/27 10:24:27 - mmengine - INFO - Epoch(train) [41][3700/3757] lr: 8.8302e-03 eta: 2 days, 9:06:36 time: 0.3933 data_time: 0.0143 memory: 17007 grad_norm: 5.7051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4880 loss: 2.4880 2022/07/27 10:24:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:24:35 - mmengine - INFO - Epoch(train) [41][3720/3757] lr: 8.8302e-03 eta: 2 days, 9:06:29 time: 0.4014 data_time: 0.0173 memory: 17007 grad_norm: 5.7663 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2425 loss: 2.2425 2022/07/27 10:24:43 - mmengine - INFO - Epoch(train) [41][3740/3757] lr: 8.8302e-03 eta: 2 days, 9:06:21 time: 0.3926 data_time: 0.0139 memory: 17007 grad_norm: 5.8938 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7419 loss: 2.7419 2022/07/27 10:24:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:24:49 - mmengine - INFO - Epoch(train) [41][3757/3757] lr: 8.8302e-03 eta: 2 days, 9:06:21 time: 0.3915 data_time: 0.0156 memory: 17007 grad_norm: 5.7222 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.6494 loss: 2.6494 2022/07/27 10:24:49 - mmengine - INFO - Saving checkpoint at 41 epochs 2022/07/27 10:25:00 - mmengine - INFO - Epoch(train) [42][20/3757] lr: 8.7735e-03 eta: 2 days, 9:05:47 time: 0.4434 data_time: 0.0668 memory: 17007 grad_norm: 5.7813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5585 loss: 2.5585 2022/07/27 10:25:09 - mmengine - INFO - Epoch(train) [42][40/3757] lr: 8.7735e-03 eta: 2 days, 9:05:41 time: 0.4154 data_time: 0.0156 memory: 17007 grad_norm: 5.8832 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3913 loss: 2.3913 2022/07/27 10:25:16 - mmengine - INFO - Epoch(train) [42][60/3757] lr: 8.7735e-03 eta: 2 days, 9:05:33 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 5.5812 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6324 loss: 2.6324 2022/07/27 10:25:24 - mmengine - INFO - Epoch(train) [42][80/3757] lr: 8.7735e-03 eta: 2 days, 9:05:25 time: 0.3962 data_time: 0.0160 memory: 17007 grad_norm: 5.7706 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6117 loss: 2.6117 2022/07/27 10:25:32 - mmengine - INFO - Epoch(train) [42][100/3757] lr: 8.7735e-03 eta: 2 days, 9:05:17 time: 0.3912 data_time: 0.0153 memory: 17007 grad_norm: 5.5272 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4824 loss: 2.4824 2022/07/27 10:25:40 - mmengine - INFO - Epoch(train) [42][120/3757] lr: 8.7735e-03 eta: 2 days, 9:05:10 time: 0.4094 data_time: 0.0152 memory: 17007 grad_norm: 5.7231 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5835 loss: 2.5835 2022/07/27 10:25:48 - mmengine - INFO - Epoch(train) [42][140/3757] lr: 8.7735e-03 eta: 2 days, 9:05:02 time: 0.3949 data_time: 0.0153 memory: 17007 grad_norm: 5.7971 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9116 loss: 2.9116 2022/07/27 10:25:57 - mmengine - INFO - Epoch(train) [42][160/3757] lr: 8.7735e-03 eta: 2 days, 9:04:56 time: 0.4202 data_time: 0.0163 memory: 17007 grad_norm: 5.5384 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3556 loss: 2.3556 2022/07/27 10:26:05 - mmengine - INFO - Epoch(train) [42][180/3757] lr: 8.7735e-03 eta: 2 days, 9:04:49 time: 0.3969 data_time: 0.0158 memory: 17007 grad_norm: 5.5961 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4370 loss: 2.4370 2022/07/27 10:26:12 - mmengine - INFO - Epoch(train) [42][200/3757] lr: 8.7735e-03 eta: 2 days, 9:04:41 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 5.7166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5879 loss: 2.5879 2022/07/27 10:26:20 - mmengine - INFO - Epoch(train) [42][220/3757] lr: 8.7735e-03 eta: 2 days, 9:04:33 time: 0.3957 data_time: 0.0150 memory: 17007 grad_norm: 5.7065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6257 loss: 2.6257 2022/07/27 10:26:28 - mmengine - INFO - Epoch(train) [42][240/3757] lr: 8.7735e-03 eta: 2 days, 9:04:25 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 5.8425 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4854 loss: 2.4854 2022/07/27 10:26:36 - mmengine - INFO - Epoch(train) [42][260/3757] lr: 8.7735e-03 eta: 2 days, 9:04:18 time: 0.4011 data_time: 0.0154 memory: 17007 grad_norm: 5.8415 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.9145 loss: 2.9145 2022/07/27 10:26:44 - mmengine - INFO - Epoch(train) [42][280/3757] lr: 8.7735e-03 eta: 2 days, 9:04:10 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 5.7159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5954 loss: 2.5954 2022/07/27 10:26:52 - mmengine - INFO - Epoch(train) [42][300/3757] lr: 8.7735e-03 eta: 2 days, 9:04:02 time: 0.3906 data_time: 0.0144 memory: 17007 grad_norm: 5.6480 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1432 loss: 2.1432 2022/07/27 10:27:00 - mmengine - INFO - Epoch(train) [42][320/3757] lr: 8.7735e-03 eta: 2 days, 9:03:54 time: 0.3985 data_time: 0.0163 memory: 17007 grad_norm: 5.6489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5702 loss: 2.5702 2022/07/27 10:27:08 - mmengine - INFO - Epoch(train) [42][340/3757] lr: 8.7735e-03 eta: 2 days, 9:03:47 time: 0.3936 data_time: 0.0167 memory: 17007 grad_norm: 5.9327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5004 loss: 2.5004 2022/07/27 10:27:16 - mmengine - INFO - Epoch(train) [42][360/3757] lr: 8.7735e-03 eta: 2 days, 9:03:39 time: 0.4008 data_time: 0.0166 memory: 17007 grad_norm: 5.6613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3823 loss: 2.3823 2022/07/27 10:27:24 - mmengine - INFO - Epoch(train) [42][380/3757] lr: 8.7735e-03 eta: 2 days, 9:03:31 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 5.6064 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.4036 loss: 2.4036 2022/07/27 10:27:32 - mmengine - INFO - Epoch(train) [42][400/3757] lr: 8.7735e-03 eta: 2 days, 9:03:23 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 5.5247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3063 loss: 2.3063 2022/07/27 10:27:40 - mmengine - INFO - Epoch(train) [42][420/3757] lr: 8.7735e-03 eta: 2 days, 9:03:16 time: 0.3987 data_time: 0.0149 memory: 17007 grad_norm: 5.7045 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4563 loss: 2.4563 2022/07/27 10:27:47 - mmengine - INFO - Epoch(train) [42][440/3757] lr: 8.7735e-03 eta: 2 days, 9:03:08 time: 0.3928 data_time: 0.0167 memory: 17007 grad_norm: 5.6404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3832 loss: 2.3832 2022/07/27 10:27:55 - mmengine - INFO - Epoch(train) [42][460/3757] lr: 8.7735e-03 eta: 2 days, 9:03:00 time: 0.3955 data_time: 0.0155 memory: 17007 grad_norm: 5.7133 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5443 loss: 2.5443 2022/07/27 10:28:03 - mmengine - INFO - Epoch(train) [42][480/3757] lr: 8.7735e-03 eta: 2 days, 9:02:52 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 5.7034 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4785 loss: 2.4785 2022/07/27 10:28:11 - mmengine - INFO - Epoch(train) [42][500/3757] lr: 8.7735e-03 eta: 2 days, 9:02:44 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.7564 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8638 loss: 2.8638 2022/07/27 10:28:19 - mmengine - INFO - Epoch(train) [42][520/3757] lr: 8.7735e-03 eta: 2 days, 9:02:37 time: 0.4058 data_time: 0.0166 memory: 17007 grad_norm: 5.7046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4838 loss: 2.4838 2022/07/27 10:28:27 - mmengine - INFO - Epoch(train) [42][540/3757] lr: 8.7735e-03 eta: 2 days, 9:02:29 time: 0.3946 data_time: 0.0161 memory: 17007 grad_norm: 5.6328 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4870 loss: 2.4870 2022/07/27 10:28:35 - mmengine - INFO - Epoch(train) [42][560/3757] lr: 8.7735e-03 eta: 2 days, 9:02:23 time: 0.4203 data_time: 0.0167 memory: 17007 grad_norm: 5.8435 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4710 loss: 2.4710 2022/07/27 10:28:43 - mmengine - INFO - Epoch(train) [42][580/3757] lr: 8.7735e-03 eta: 2 days, 9:02:15 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 5.6451 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6096 loss: 2.6096 2022/07/27 10:28:51 - mmengine - INFO - Epoch(train) [42][600/3757] lr: 8.7735e-03 eta: 2 days, 9:02:07 time: 0.3934 data_time: 0.0170 memory: 17007 grad_norm: 5.6923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3441 loss: 2.3441 2022/07/27 10:28:59 - mmengine - INFO - Epoch(train) [42][620/3757] lr: 8.7735e-03 eta: 2 days, 9:02:00 time: 0.3998 data_time: 0.0163 memory: 17007 grad_norm: 5.8180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7311 loss: 2.7311 2022/07/27 10:29:07 - mmengine - INFO - Epoch(train) [42][640/3757] lr: 8.7735e-03 eta: 2 days, 9:01:52 time: 0.3961 data_time: 0.0173 memory: 17007 grad_norm: 5.8599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4890 loss: 2.4890 2022/07/27 10:29:15 - mmengine - INFO - Epoch(train) [42][660/3757] lr: 8.7735e-03 eta: 2 days, 9:01:45 time: 0.4041 data_time: 0.0150 memory: 17007 grad_norm: 5.9689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4236 loss: 2.4236 2022/07/27 10:29:23 - mmengine - INFO - Epoch(train) [42][680/3757] lr: 8.7735e-03 eta: 2 days, 9:01:37 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 5.7020 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4405 loss: 2.4405 2022/07/27 10:29:31 - mmengine - INFO - Epoch(train) [42][700/3757] lr: 8.7735e-03 eta: 2 days, 9:01:29 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 5.5808 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4223 loss: 2.4223 2022/07/27 10:29:39 - mmengine - INFO - Epoch(train) [42][720/3757] lr: 8.7735e-03 eta: 2 days, 9:01:22 time: 0.3971 data_time: 0.0167 memory: 17007 grad_norm: 5.6402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5376 loss: 2.5376 2022/07/27 10:29:47 - mmengine - INFO - Epoch(train) [42][740/3757] lr: 8.7735e-03 eta: 2 days, 9:01:14 time: 0.3955 data_time: 0.0165 memory: 17007 grad_norm: 5.6536 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5067 loss: 2.5067 2022/07/27 10:29:55 - mmengine - INFO - Epoch(train) [42][760/3757] lr: 8.7735e-03 eta: 2 days, 9:01:06 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 5.5895 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5262 loss: 2.5262 2022/07/27 10:30:02 - mmengine - INFO - Epoch(train) [42][780/3757] lr: 8.7735e-03 eta: 2 days, 9:00:58 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 5.7771 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5824 loss: 2.5824 2022/07/27 10:30:10 - mmengine - INFO - Epoch(train) [42][800/3757] lr: 8.7735e-03 eta: 2 days, 9:00:50 time: 0.3914 data_time: 0.0150 memory: 17007 grad_norm: 5.6456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5109 loss: 2.5109 2022/07/27 10:30:18 - mmengine - INFO - Epoch(train) [42][820/3757] lr: 8.7735e-03 eta: 2 days, 9:00:43 time: 0.4006 data_time: 0.0152 memory: 17007 grad_norm: 5.6821 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5911 loss: 2.5911 2022/07/27 10:30:26 - mmengine - INFO - Epoch(train) [42][840/3757] lr: 8.7735e-03 eta: 2 days, 9:00:35 time: 0.3944 data_time: 0.0167 memory: 17007 grad_norm: 5.9165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3036 loss: 2.3036 2022/07/27 10:30:34 - mmengine - INFO - Epoch(train) [42][860/3757] lr: 8.7735e-03 eta: 2 days, 9:00:27 time: 0.4002 data_time: 0.0128 memory: 17007 grad_norm: 5.7784 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3593 loss: 2.3593 2022/07/27 10:30:42 - mmengine - INFO - Epoch(train) [42][880/3757] lr: 8.7735e-03 eta: 2 days, 9:00:19 time: 0.3937 data_time: 0.0164 memory: 17007 grad_norm: 5.6216 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2468 loss: 2.2468 2022/07/27 10:30:50 - mmengine - INFO - Epoch(train) [42][900/3757] lr: 8.7735e-03 eta: 2 days, 9:00:12 time: 0.3946 data_time: 0.0145 memory: 17007 grad_norm: 5.7168 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3673 loss: 2.3673 2022/07/27 10:30:58 - mmengine - INFO - Epoch(train) [42][920/3757] lr: 8.7735e-03 eta: 2 days, 9:00:05 time: 0.4056 data_time: 0.0168 memory: 17007 grad_norm: 5.7674 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3178 loss: 2.3178 2022/07/27 10:31:06 - mmengine - INFO - Epoch(train) [42][940/3757] lr: 8.7735e-03 eta: 2 days, 8:59:57 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 5.6483 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8372 loss: 2.8372 2022/07/27 10:31:14 - mmengine - INFO - Epoch(train) [42][960/3757] lr: 8.7735e-03 eta: 2 days, 8:59:49 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 5.7483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3870 loss: 2.3870 2022/07/27 10:31:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:31:22 - mmengine - INFO - Epoch(train) [42][980/3757] lr: 8.7735e-03 eta: 2 days, 8:59:41 time: 0.3920 data_time: 0.0134 memory: 17007 grad_norm: 5.8071 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7560 loss: 2.7560 2022/07/27 10:31:30 - mmengine - INFO - Epoch(train) [42][1000/3757] lr: 8.7735e-03 eta: 2 days, 8:59:33 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 5.5890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4418 loss: 2.4418 2022/07/27 10:31:38 - mmengine - INFO - Epoch(train) [42][1020/3757] lr: 8.7735e-03 eta: 2 days, 8:59:26 time: 0.4001 data_time: 0.0168 memory: 17007 grad_norm: 5.9328 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5723 loss: 2.5723 2022/07/27 10:31:45 - mmengine - INFO - Epoch(train) [42][1040/3757] lr: 8.7735e-03 eta: 2 days, 8:59:18 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 5.7630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7384 loss: 2.7384 2022/07/27 10:31:53 - mmengine - INFO - Epoch(train) [42][1060/3757] lr: 8.7735e-03 eta: 2 days, 8:59:10 time: 0.3912 data_time: 0.0145 memory: 17007 grad_norm: 5.6144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3824 loss: 2.3824 2022/07/27 10:32:01 - mmengine - INFO - Epoch(train) [42][1080/3757] lr: 8.7735e-03 eta: 2 days, 8:59:02 time: 0.3929 data_time: 0.0163 memory: 17007 grad_norm: 5.6961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4591 loss: 2.4591 2022/07/27 10:32:09 - mmengine - INFO - Epoch(train) [42][1100/3757] lr: 8.7735e-03 eta: 2 days, 8:58:54 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 5.6360 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6199 loss: 2.6199 2022/07/27 10:32:17 - mmengine - INFO - Epoch(train) [42][1120/3757] lr: 8.7735e-03 eta: 2 days, 8:58:46 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 5.8032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4052 loss: 2.4052 2022/07/27 10:32:25 - mmengine - INFO - Epoch(train) [42][1140/3757] lr: 8.7735e-03 eta: 2 days, 8:58:38 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 5.5642 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4669 loss: 2.4669 2022/07/27 10:32:33 - mmengine - INFO - Epoch(train) [42][1160/3757] lr: 8.7735e-03 eta: 2 days, 8:58:30 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 5.7770 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3942 loss: 2.3942 2022/07/27 10:32:41 - mmengine - INFO - Epoch(train) [42][1180/3757] lr: 8.7735e-03 eta: 2 days, 8:58:22 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 5.6737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0988 loss: 2.0988 2022/07/27 10:32:48 - mmengine - INFO - Epoch(train) [42][1200/3757] lr: 8.7735e-03 eta: 2 days, 8:58:14 time: 0.3926 data_time: 0.0155 memory: 17007 grad_norm: 5.8064 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6447 loss: 2.6447 2022/07/27 10:32:56 - mmengine - INFO - Epoch(train) [42][1220/3757] lr: 8.7735e-03 eta: 2 days, 8:58:06 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 5.8476 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3050 loss: 2.3050 2022/07/27 10:33:04 - mmengine - INFO - Epoch(train) [42][1240/3757] lr: 8.7735e-03 eta: 2 days, 8:57:58 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 5.6645 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5483 loss: 2.5483 2022/07/27 10:33:12 - mmengine - INFO - Epoch(train) [42][1260/3757] lr: 8.7735e-03 eta: 2 days, 8:57:50 time: 0.3922 data_time: 0.0147 memory: 17007 grad_norm: 5.5743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4859 loss: 2.4859 2022/07/27 10:33:20 - mmengine - INFO - Epoch(train) [42][1280/3757] lr: 8.7735e-03 eta: 2 days, 8:57:43 time: 0.4015 data_time: 0.0162 memory: 17007 grad_norm: 5.6677 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3642 loss: 2.3642 2022/07/27 10:33:28 - mmengine - INFO - Epoch(train) [42][1300/3757] lr: 8.7735e-03 eta: 2 days, 8:57:35 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 5.7591 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4105 loss: 2.4105 2022/07/27 10:33:36 - mmengine - INFO - Epoch(train) [42][1320/3757] lr: 8.7735e-03 eta: 2 days, 8:57:29 time: 0.4182 data_time: 0.0170 memory: 17007 grad_norm: 5.8042 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7000 loss: 2.7000 2022/07/27 10:33:44 - mmengine - INFO - Epoch(train) [42][1340/3757] lr: 8.7735e-03 eta: 2 days, 8:57:21 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 5.5543 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3536 loss: 2.3536 2022/07/27 10:33:52 - mmengine - INFO - Epoch(train) [42][1360/3757] lr: 8.7735e-03 eta: 2 days, 8:57:13 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 5.7918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3698 loss: 2.3698 2022/07/27 10:34:00 - mmengine - INFO - Epoch(train) [42][1380/3757] lr: 8.7735e-03 eta: 2 days, 8:57:05 time: 0.3937 data_time: 0.0165 memory: 17007 grad_norm: 5.9532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7214 loss: 2.7214 2022/07/27 10:34:08 - mmengine - INFO - Epoch(train) [42][1400/3757] lr: 8.7735e-03 eta: 2 days, 8:56:57 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 5.4837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2489 loss: 2.2489 2022/07/27 10:34:16 - mmengine - INFO - Epoch(train) [42][1420/3757] lr: 8.7735e-03 eta: 2 days, 8:56:49 time: 0.3938 data_time: 0.0164 memory: 17007 grad_norm: 5.7121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5725 loss: 2.5725 2022/07/27 10:34:23 - mmengine - INFO - Epoch(train) [42][1440/3757] lr: 8.7735e-03 eta: 2 days, 8:56:41 time: 0.3939 data_time: 0.0172 memory: 17007 grad_norm: 5.8410 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5228 loss: 2.5228 2022/07/27 10:34:31 - mmengine - INFO - Epoch(train) [42][1460/3757] lr: 8.7735e-03 eta: 2 days, 8:56:34 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 5.5537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3619 loss: 2.3619 2022/07/27 10:34:39 - mmengine - INFO - Epoch(train) [42][1480/3757] lr: 8.7735e-03 eta: 2 days, 8:56:26 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 5.7735 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4379 loss: 2.4379 2022/07/27 10:34:47 - mmengine - INFO - Epoch(train) [42][1500/3757] lr: 8.7735e-03 eta: 2 days, 8:56:18 time: 0.3990 data_time: 0.0155 memory: 17007 grad_norm: 5.7199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4228 loss: 2.4228 2022/07/27 10:34:55 - mmengine - INFO - Epoch(train) [42][1520/3757] lr: 8.7735e-03 eta: 2 days, 8:56:10 time: 0.3936 data_time: 0.0165 memory: 17007 grad_norm: 6.0204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5517 loss: 2.5517 2022/07/27 10:35:03 - mmengine - INFO - Epoch(train) [42][1540/3757] lr: 8.7735e-03 eta: 2 days, 8:56:02 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 5.6843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5434 loss: 2.5434 2022/07/27 10:35:11 - mmengine - INFO - Epoch(train) [42][1560/3757] lr: 8.7735e-03 eta: 2 days, 8:55:54 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.6826 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5476 loss: 2.5476 2022/07/27 10:35:19 - mmengine - INFO - Epoch(train) [42][1580/3757] lr: 8.7735e-03 eta: 2 days, 8:55:47 time: 0.3961 data_time: 0.0180 memory: 17007 grad_norm: 5.7344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6971 loss: 2.6971 2022/07/27 10:35:27 - mmengine - INFO - Epoch(train) [42][1600/3757] lr: 8.7735e-03 eta: 2 days, 8:55:39 time: 0.3957 data_time: 0.0166 memory: 17007 grad_norm: 5.9262 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6459 loss: 2.6459 2022/07/27 10:35:34 - mmengine - INFO - Epoch(train) [42][1620/3757] lr: 8.7735e-03 eta: 2 days, 8:55:31 time: 0.3945 data_time: 0.0149 memory: 17007 grad_norm: 5.7621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6262 loss: 2.6262 2022/07/27 10:35:42 - mmengine - INFO - Epoch(train) [42][1640/3757] lr: 8.7735e-03 eta: 2 days, 8:55:23 time: 0.3944 data_time: 0.0185 memory: 17007 grad_norm: 5.7082 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5448 loss: 2.5448 2022/07/27 10:35:50 - mmengine - INFO - Epoch(train) [42][1660/3757] lr: 8.7735e-03 eta: 2 days, 8:55:16 time: 0.3984 data_time: 0.0163 memory: 17007 grad_norm: 5.8183 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7666 loss: 2.7666 2022/07/27 10:35:58 - mmengine - INFO - Epoch(train) [42][1680/3757] lr: 8.7735e-03 eta: 2 days, 8:55:08 time: 0.3952 data_time: 0.0179 memory: 17007 grad_norm: 5.7454 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3704 loss: 2.3704 2022/07/27 10:36:06 - mmengine - INFO - Epoch(train) [42][1700/3757] lr: 8.7735e-03 eta: 2 days, 8:55:00 time: 0.3911 data_time: 0.0142 memory: 17007 grad_norm: 5.6969 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7405 loss: 2.7405 2022/07/27 10:36:14 - mmengine - INFO - Epoch(train) [42][1720/3757] lr: 8.7735e-03 eta: 2 days, 8:54:52 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 5.7867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3003 loss: 2.3003 2022/07/27 10:36:22 - mmengine - INFO - Epoch(train) [42][1740/3757] lr: 8.7735e-03 eta: 2 days, 8:54:44 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.8991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3945 loss: 2.3945 2022/07/27 10:36:30 - mmengine - INFO - Epoch(train) [42][1760/3757] lr: 8.7735e-03 eta: 2 days, 8:54:36 time: 0.3920 data_time: 0.0150 memory: 17007 grad_norm: 5.6697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4869 loss: 2.4869 2022/07/27 10:36:37 - mmengine - INFO - Epoch(train) [42][1780/3757] lr: 8.7735e-03 eta: 2 days, 8:54:28 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 5.7783 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4198 loss: 2.4198 2022/07/27 10:36:45 - mmengine - INFO - Epoch(train) [42][1800/3757] lr: 8.7735e-03 eta: 2 days, 8:54:20 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 5.7365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4799 loss: 2.4799 2022/07/27 10:36:53 - mmengine - INFO - Epoch(train) [42][1820/3757] lr: 8.7735e-03 eta: 2 days, 8:54:12 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 5.5512 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3295 loss: 2.3295 2022/07/27 10:37:01 - mmengine - INFO - Epoch(train) [42][1840/3757] lr: 8.7735e-03 eta: 2 days, 8:54:04 time: 0.3939 data_time: 0.0166 memory: 17007 grad_norm: 5.7887 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4873 loss: 2.4873 2022/07/27 10:37:09 - mmengine - INFO - Epoch(train) [42][1860/3757] lr: 8.7735e-03 eta: 2 days, 8:53:56 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 5.4843 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5417 loss: 2.5417 2022/07/27 10:37:17 - mmengine - INFO - Epoch(train) [42][1880/3757] lr: 8.7735e-03 eta: 2 days, 8:53:49 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 5.7356 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3320 loss: 2.3320 2022/07/27 10:37:25 - mmengine - INFO - Epoch(train) [42][1900/3757] lr: 8.7735e-03 eta: 2 days, 8:53:40 time: 0.3909 data_time: 0.0145 memory: 17007 grad_norm: 5.7067 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2478 loss: 2.2478 2022/07/27 10:37:32 - mmengine - INFO - Epoch(train) [42][1920/3757] lr: 8.7735e-03 eta: 2 days, 8:53:33 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 5.5986 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3985 loss: 2.3985 2022/07/27 10:37:40 - mmengine - INFO - Epoch(train) [42][1940/3757] lr: 8.7735e-03 eta: 2 days, 8:53:25 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 5.6707 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4566 loss: 2.4566 2022/07/27 10:37:48 - mmengine - INFO - Epoch(train) [42][1960/3757] lr: 8.7735e-03 eta: 2 days, 8:53:17 time: 0.3937 data_time: 0.0162 memory: 17007 grad_norm: 5.8247 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6089 loss: 2.6089 2022/07/27 10:37:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:37:56 - mmengine - INFO - Epoch(train) [42][1980/3757] lr: 8.7735e-03 eta: 2 days, 8:53:09 time: 0.3977 data_time: 0.0166 memory: 17007 grad_norm: 5.7517 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7200 loss: 2.7200 2022/07/27 10:38:04 - mmengine - INFO - Epoch(train) [42][2000/3757] lr: 8.7735e-03 eta: 2 days, 8:53:01 time: 0.3916 data_time: 0.0155 memory: 17007 grad_norm: 5.8115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5806 loss: 2.5806 2022/07/27 10:38:12 - mmengine - INFO - Epoch(train) [42][2020/3757] lr: 8.7735e-03 eta: 2 days, 8:52:53 time: 0.3920 data_time: 0.0153 memory: 17007 grad_norm: 5.8801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5474 loss: 2.5474 2022/07/27 10:38:20 - mmengine - INFO - Epoch(train) [42][2040/3757] lr: 8.7735e-03 eta: 2 days, 8:52:46 time: 0.4082 data_time: 0.0161 memory: 17007 grad_norm: 5.8161 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7402 loss: 2.7402 2022/07/27 10:38:28 - mmengine - INFO - Epoch(train) [42][2060/3757] lr: 8.7735e-03 eta: 2 days, 8:52:39 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 5.7467 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8576 loss: 2.8576 2022/07/27 10:38:36 - mmengine - INFO - Epoch(train) [42][2080/3757] lr: 8.7735e-03 eta: 2 days, 8:52:31 time: 0.3978 data_time: 0.0160 memory: 17007 grad_norm: 5.8222 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6329 loss: 2.6329 2022/07/27 10:38:44 - mmengine - INFO - Epoch(train) [42][2100/3757] lr: 8.7735e-03 eta: 2 days, 8:52:23 time: 0.3912 data_time: 0.0151 memory: 17007 grad_norm: 5.7497 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6709 loss: 2.6709 2022/07/27 10:38:52 - mmengine - INFO - Epoch(train) [42][2120/3757] lr: 8.7735e-03 eta: 2 days, 8:52:15 time: 0.3912 data_time: 0.0147 memory: 17007 grad_norm: 5.8058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4479 loss: 2.4479 2022/07/27 10:39:00 - mmengine - INFO - Epoch(train) [42][2140/3757] lr: 8.7735e-03 eta: 2 days, 8:52:07 time: 0.3988 data_time: 0.0163 memory: 17007 grad_norm: 5.7491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5635 loss: 2.5635 2022/07/27 10:39:07 - mmengine - INFO - Epoch(train) [42][2160/3757] lr: 8.7735e-03 eta: 2 days, 8:51:59 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 6.0574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8125 loss: 2.8125 2022/07/27 10:39:15 - mmengine - INFO - Epoch(train) [42][2180/3757] lr: 8.7735e-03 eta: 2 days, 8:51:51 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.0488 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7068 loss: 2.7068 2022/07/27 10:39:23 - mmengine - INFO - Epoch(train) [42][2200/3757] lr: 8.7735e-03 eta: 2 days, 8:51:43 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.7346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4479 loss: 2.4479 2022/07/27 10:39:31 - mmengine - INFO - Epoch(train) [42][2220/3757] lr: 8.7735e-03 eta: 2 days, 8:51:36 time: 0.3939 data_time: 0.0148 memory: 17007 grad_norm: 5.8796 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7148 loss: 2.7148 2022/07/27 10:39:39 - mmengine - INFO - Epoch(train) [42][2240/3757] lr: 8.7735e-03 eta: 2 days, 8:51:28 time: 0.3978 data_time: 0.0174 memory: 17007 grad_norm: 5.7552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6546 loss: 2.6546 2022/07/27 10:39:47 - mmengine - INFO - Epoch(train) [42][2260/3757] lr: 8.7735e-03 eta: 2 days, 8:51:20 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 5.8381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6348 loss: 2.6348 2022/07/27 10:39:55 - mmengine - INFO - Epoch(train) [42][2280/3757] lr: 8.7735e-03 eta: 2 days, 8:51:12 time: 0.3919 data_time: 0.0161 memory: 17007 grad_norm: 5.5427 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5707 loss: 2.5707 2022/07/27 10:40:03 - mmengine - INFO - Epoch(train) [42][2300/3757] lr: 8.7735e-03 eta: 2 days, 8:51:04 time: 0.3933 data_time: 0.0138 memory: 17007 grad_norm: 5.6835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2873 loss: 2.2873 2022/07/27 10:40:10 - mmengine - INFO - Epoch(train) [42][2320/3757] lr: 8.7735e-03 eta: 2 days, 8:50:56 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 5.7541 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2432 loss: 2.2432 2022/07/27 10:40:18 - mmengine - INFO - Epoch(train) [42][2340/3757] lr: 8.7735e-03 eta: 2 days, 8:50:48 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 5.8115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8505 loss: 2.8505 2022/07/27 10:40:26 - mmengine - INFO - Epoch(train) [42][2360/3757] lr: 8.7735e-03 eta: 2 days, 8:50:41 time: 0.3944 data_time: 0.0164 memory: 17007 grad_norm: 5.7026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5613 loss: 2.5613 2022/07/27 10:40:34 - mmengine - INFO - Epoch(train) [42][2380/3757] lr: 8.7735e-03 eta: 2 days, 8:50:33 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 5.5341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4635 loss: 2.4635 2022/07/27 10:40:42 - mmengine - INFO - Epoch(train) [42][2400/3757] lr: 8.7735e-03 eta: 2 days, 8:50:25 time: 0.3952 data_time: 0.0162 memory: 17007 grad_norm: 5.8398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5950 loss: 2.5950 2022/07/27 10:40:50 - mmengine - INFO - Epoch(train) [42][2420/3757] lr: 8.7735e-03 eta: 2 days, 8:50:17 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.5263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2844 loss: 2.2844 2022/07/27 10:40:58 - mmengine - INFO - Epoch(train) [42][2440/3757] lr: 8.7735e-03 eta: 2 days, 8:50:09 time: 0.3976 data_time: 0.0159 memory: 17007 grad_norm: 5.7577 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6105 loss: 2.6105 2022/07/27 10:41:06 - mmengine - INFO - Epoch(train) [42][2460/3757] lr: 8.7735e-03 eta: 2 days, 8:50:02 time: 0.3944 data_time: 0.0165 memory: 17007 grad_norm: 5.7123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4192 loss: 2.4192 2022/07/27 10:41:14 - mmengine - INFO - Epoch(train) [42][2480/3757] lr: 8.7735e-03 eta: 2 days, 8:49:54 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.9429 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5661 loss: 2.5661 2022/07/27 10:41:21 - mmengine - INFO - Epoch(train) [42][2500/3757] lr: 8.7735e-03 eta: 2 days, 8:49:46 time: 0.3948 data_time: 0.0146 memory: 17007 grad_norm: 5.7664 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5479 loss: 2.5479 2022/07/27 10:41:29 - mmengine - INFO - Epoch(train) [42][2520/3757] lr: 8.7735e-03 eta: 2 days, 8:49:39 time: 0.4047 data_time: 0.0157 memory: 17007 grad_norm: 5.5653 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3394 loss: 2.3394 2022/07/27 10:41:37 - mmengine - INFO - Epoch(train) [42][2540/3757] lr: 8.7735e-03 eta: 2 days, 8:49:31 time: 0.3959 data_time: 0.0170 memory: 17007 grad_norm: 5.8042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4264 loss: 2.4264 2022/07/27 10:41:45 - mmengine - INFO - Epoch(train) [42][2560/3757] lr: 8.7735e-03 eta: 2 days, 8:49:23 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 5.7639 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5064 loss: 2.5064 2022/07/27 10:41:53 - mmengine - INFO - Epoch(train) [42][2580/3757] lr: 8.7735e-03 eta: 2 days, 8:49:15 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 5.9481 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6912 loss: 2.6912 2022/07/27 10:42:01 - mmengine - INFO - Epoch(train) [42][2600/3757] lr: 8.7735e-03 eta: 2 days, 8:49:08 time: 0.3988 data_time: 0.0164 memory: 17007 grad_norm: 5.8904 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5014 loss: 2.5014 2022/07/27 10:42:09 - mmengine - INFO - Epoch(train) [42][2620/3757] lr: 8.7735e-03 eta: 2 days, 8:49:00 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 5.8552 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5845 loss: 2.5845 2022/07/27 10:42:17 - mmengine - INFO - Epoch(train) [42][2640/3757] lr: 8.7735e-03 eta: 2 days, 8:48:52 time: 0.3957 data_time: 0.0165 memory: 17007 grad_norm: 5.8176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6081 loss: 2.6081 2022/07/27 10:42:25 - mmengine - INFO - Epoch(train) [42][2660/3757] lr: 8.7735e-03 eta: 2 days, 8:48:45 time: 0.4024 data_time: 0.0157 memory: 17007 grad_norm: 5.7034 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3321 loss: 2.3321 2022/07/27 10:42:33 - mmengine - INFO - Epoch(train) [42][2680/3757] lr: 8.7735e-03 eta: 2 days, 8:48:37 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 6.0092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5480 loss: 2.5480 2022/07/27 10:42:41 - mmengine - INFO - Epoch(train) [42][2700/3757] lr: 8.7735e-03 eta: 2 days, 8:48:29 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 5.9163 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6466 loss: 2.6466 2022/07/27 10:42:49 - mmengine - INFO - Epoch(train) [42][2720/3757] lr: 8.7735e-03 eta: 2 days, 8:48:21 time: 0.3937 data_time: 0.0165 memory: 17007 grad_norm: 5.9384 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4494 loss: 2.4494 2022/07/27 10:42:57 - mmengine - INFO - Epoch(train) [42][2740/3757] lr: 8.7735e-03 eta: 2 days, 8:48:14 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 5.7787 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3019 loss: 2.3019 2022/07/27 10:43:04 - mmengine - INFO - Epoch(train) [42][2760/3757] lr: 8.7735e-03 eta: 2 days, 8:48:05 time: 0.3900 data_time: 0.0153 memory: 17007 grad_norm: 5.9950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4556 loss: 2.4556 2022/07/27 10:43:12 - mmengine - INFO - Epoch(train) [42][2780/3757] lr: 8.7735e-03 eta: 2 days, 8:47:57 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 5.7576 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4820 loss: 2.4820 2022/07/27 10:43:20 - mmengine - INFO - Epoch(train) [42][2800/3757] lr: 8.7735e-03 eta: 2 days, 8:47:50 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 5.7471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4131 loss: 2.4131 2022/07/27 10:43:28 - mmengine - INFO - Epoch(train) [42][2820/3757] lr: 8.7735e-03 eta: 2 days, 8:47:42 time: 0.3908 data_time: 0.0148 memory: 17007 grad_norm: 5.7862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2446 loss: 2.2446 2022/07/27 10:43:36 - mmengine - INFO - Epoch(train) [42][2840/3757] lr: 8.7735e-03 eta: 2 days, 8:47:34 time: 0.3947 data_time: 0.0161 memory: 17007 grad_norm: 5.9125 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8645 loss: 2.8645 2022/07/27 10:43:44 - mmengine - INFO - Epoch(train) [42][2860/3757] lr: 8.7735e-03 eta: 2 days, 8:47:26 time: 0.3920 data_time: 0.0145 memory: 17007 grad_norm: 6.0298 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8036 loss: 2.8036 2022/07/27 10:43:52 - mmengine - INFO - Epoch(train) [42][2880/3757] lr: 8.7735e-03 eta: 2 days, 8:47:18 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 5.6059 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5326 loss: 2.5326 2022/07/27 10:43:59 - mmengine - INFO - Epoch(train) [42][2900/3757] lr: 8.7735e-03 eta: 2 days, 8:47:10 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 5.7100 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3232 loss: 2.3232 2022/07/27 10:44:07 - mmengine - INFO - Epoch(train) [42][2920/3757] lr: 8.7735e-03 eta: 2 days, 8:47:02 time: 0.3968 data_time: 0.0161 memory: 17007 grad_norm: 5.8275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4043 loss: 2.4043 2022/07/27 10:44:15 - mmengine - INFO - Epoch(train) [42][2940/3757] lr: 8.7735e-03 eta: 2 days, 8:46:55 time: 0.3946 data_time: 0.0162 memory: 17007 grad_norm: 5.7882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5155 loss: 2.5155 2022/07/27 10:44:23 - mmengine - INFO - Epoch(train) [42][2960/3757] lr: 8.7735e-03 eta: 2 days, 8:46:47 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 5.8184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3691 loss: 2.3691 2022/07/27 10:44:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:44:31 - mmengine - INFO - Epoch(train) [42][2980/3757] lr: 8.7735e-03 eta: 2 days, 8:46:39 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 5.6915 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3273 loss: 2.3273 2022/07/27 10:44:39 - mmengine - INFO - Epoch(train) [42][3000/3757] lr: 8.7735e-03 eta: 2 days, 8:46:32 time: 0.4018 data_time: 0.0174 memory: 17007 grad_norm: 5.8714 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5874 loss: 2.5874 2022/07/27 10:44:47 - mmengine - INFO - Epoch(train) [42][3020/3757] lr: 8.7735e-03 eta: 2 days, 8:46:24 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 6.0627 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5603 loss: 2.5603 2022/07/27 10:44:55 - mmengine - INFO - Epoch(train) [42][3040/3757] lr: 8.7735e-03 eta: 2 days, 8:46:16 time: 0.3969 data_time: 0.0158 memory: 17007 grad_norm: 5.8563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2522 loss: 2.2522 2022/07/27 10:45:03 - mmengine - INFO - Epoch(train) [42][3060/3757] lr: 8.7735e-03 eta: 2 days, 8:46:09 time: 0.4014 data_time: 0.0150 memory: 17007 grad_norm: 5.9532 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7898 loss: 2.7898 2022/07/27 10:45:11 - mmengine - INFO - Epoch(train) [42][3080/3757] lr: 8.7735e-03 eta: 2 days, 8:46:01 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 5.7595 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5022 loss: 2.5022 2022/07/27 10:45:19 - mmengine - INFO - Epoch(train) [42][3100/3757] lr: 8.7735e-03 eta: 2 days, 8:45:53 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 5.8851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4897 loss: 2.4897 2022/07/27 10:45:27 - mmengine - INFO - Epoch(train) [42][3120/3757] lr: 8.7735e-03 eta: 2 days, 8:45:45 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 5.6299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5166 loss: 2.5166 2022/07/27 10:45:34 - mmengine - INFO - Epoch(train) [42][3140/3757] lr: 8.7735e-03 eta: 2 days, 8:45:37 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.7947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6468 loss: 2.6468 2022/07/27 10:45:42 - mmengine - INFO - Epoch(train) [42][3160/3757] lr: 8.7735e-03 eta: 2 days, 8:45:30 time: 0.3990 data_time: 0.0174 memory: 17007 grad_norm: 5.7160 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7007 loss: 2.7007 2022/07/27 10:45:50 - mmengine - INFO - Epoch(train) [42][3180/3757] lr: 8.7735e-03 eta: 2 days, 8:45:22 time: 0.3926 data_time: 0.0155 memory: 17007 grad_norm: 5.8007 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3187 loss: 2.3187 2022/07/27 10:45:58 - mmengine - INFO - Epoch(train) [42][3200/3757] lr: 8.7735e-03 eta: 2 days, 8:45:14 time: 0.3963 data_time: 0.0168 memory: 17007 grad_norm: 5.7068 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7643 loss: 2.7643 2022/07/27 10:46:06 - mmengine - INFO - Epoch(train) [42][3220/3757] lr: 8.7735e-03 eta: 2 days, 8:45:06 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 5.6302 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4045 loss: 2.4045 2022/07/27 10:46:14 - mmengine - INFO - Epoch(train) [42][3240/3757] lr: 8.7735e-03 eta: 2 days, 8:44:58 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 5.7342 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5039 loss: 2.5039 2022/07/27 10:46:22 - mmengine - INFO - Epoch(train) [42][3260/3757] lr: 8.7735e-03 eta: 2 days, 8:44:50 time: 0.3946 data_time: 0.0174 memory: 17007 grad_norm: 5.4942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0779 loss: 2.0779 2022/07/27 10:46:30 - mmengine - INFO - Epoch(train) [42][3280/3757] lr: 8.7735e-03 eta: 2 days, 8:44:42 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 5.8430 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6078 loss: 2.6078 2022/07/27 10:46:38 - mmengine - INFO - Epoch(train) [42][3300/3757] lr: 8.7735e-03 eta: 2 days, 8:44:36 time: 0.4114 data_time: 0.0170 memory: 17007 grad_norm: 5.7694 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5433 loss: 2.5433 2022/07/27 10:46:46 - mmengine - INFO - Epoch(train) [42][3320/3757] lr: 8.7735e-03 eta: 2 days, 8:44:28 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 5.8753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3737 loss: 2.3737 2022/07/27 10:46:54 - mmengine - INFO - Epoch(train) [42][3340/3757] lr: 8.7735e-03 eta: 2 days, 8:44:20 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 5.8365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3191 loss: 2.3191 2022/07/27 10:47:02 - mmengine - INFO - Epoch(train) [42][3360/3757] lr: 8.7735e-03 eta: 2 days, 8:44:13 time: 0.4058 data_time: 0.0165 memory: 17007 grad_norm: 5.6713 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8097 loss: 2.8097 2022/07/27 10:47:10 - mmengine - INFO - Epoch(train) [42][3380/3757] lr: 8.7735e-03 eta: 2 days, 8:44:05 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 5.9534 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7489 loss: 2.7489 2022/07/27 10:47:18 - mmengine - INFO - Epoch(train) [42][3400/3757] lr: 8.7735e-03 eta: 2 days, 8:43:57 time: 0.3969 data_time: 0.0159 memory: 17007 grad_norm: 5.7424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3981 loss: 2.3981 2022/07/27 10:47:25 - mmengine - INFO - Epoch(train) [42][3420/3757] lr: 8.7735e-03 eta: 2 days, 8:43:49 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 5.6468 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6063 loss: 2.6063 2022/07/27 10:47:33 - mmengine - INFO - Epoch(train) [42][3440/3757] lr: 8.7735e-03 eta: 2 days, 8:43:41 time: 0.3916 data_time: 0.0153 memory: 17007 grad_norm: 5.7440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4734 loss: 2.4734 2022/07/27 10:47:41 - mmengine - INFO - Epoch(train) [42][3460/3757] lr: 8.7735e-03 eta: 2 days, 8:43:34 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 5.7909 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6182 loss: 2.6182 2022/07/27 10:47:49 - mmengine - INFO - Epoch(train) [42][3480/3757] lr: 8.7735e-03 eta: 2 days, 8:43:26 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 5.9270 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7771 loss: 2.7771 2022/07/27 10:47:57 - mmengine - INFO - Epoch(train) [42][3500/3757] lr: 8.7735e-03 eta: 2 days, 8:43:18 time: 0.4008 data_time: 0.0161 memory: 17007 grad_norm: 5.9968 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4973 loss: 2.4973 2022/07/27 10:48:05 - mmengine - INFO - Epoch(train) [42][3520/3757] lr: 8.7735e-03 eta: 2 days, 8:43:10 time: 0.3937 data_time: 0.0169 memory: 17007 grad_norm: 5.9257 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6105 loss: 2.6105 2022/07/27 10:48:13 - mmengine - INFO - Epoch(train) [42][3540/3757] lr: 8.7735e-03 eta: 2 days, 8:43:02 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 5.7432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6621 loss: 2.6621 2022/07/27 10:48:21 - mmengine - INFO - Epoch(train) [42][3560/3757] lr: 8.7735e-03 eta: 2 days, 8:42:55 time: 0.4036 data_time: 0.0168 memory: 17007 grad_norm: 5.7980 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4564 loss: 2.4564 2022/07/27 10:48:29 - mmengine - INFO - Epoch(train) [42][3580/3757] lr: 8.7735e-03 eta: 2 days, 8:42:47 time: 0.3918 data_time: 0.0149 memory: 17007 grad_norm: 5.5972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4435 loss: 2.4435 2022/07/27 10:48:37 - mmengine - INFO - Epoch(train) [42][3600/3757] lr: 8.7735e-03 eta: 2 days, 8:42:40 time: 0.3970 data_time: 0.0168 memory: 17007 grad_norm: 5.7543 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5751 loss: 2.5751 2022/07/27 10:48:45 - mmengine - INFO - Epoch(train) [42][3620/3757] lr: 8.7735e-03 eta: 2 days, 8:42:32 time: 0.3927 data_time: 0.0166 memory: 17007 grad_norm: 5.7356 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4857 loss: 2.4857 2022/07/27 10:48:52 - mmengine - INFO - Epoch(train) [42][3640/3757] lr: 8.7735e-03 eta: 2 days, 8:42:24 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 5.7385 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3091 loss: 2.3091 2022/07/27 10:49:00 - mmengine - INFO - Epoch(train) [42][3660/3757] lr: 8.7735e-03 eta: 2 days, 8:42:16 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 5.7205 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5991 loss: 2.5991 2022/07/27 10:49:08 - mmengine - INFO - Epoch(train) [42][3680/3757] lr: 8.7735e-03 eta: 2 days, 8:42:08 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 5.9442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4231 loss: 2.4231 2022/07/27 10:49:16 - mmengine - INFO - Epoch(train) [42][3700/3757] lr: 8.7735e-03 eta: 2 days, 8:42:00 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 5.9518 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4911 loss: 2.4911 2022/07/27 10:49:24 - mmengine - INFO - Epoch(train) [42][3720/3757] lr: 8.7735e-03 eta: 2 days, 8:41:52 time: 0.3928 data_time: 0.0167 memory: 17007 grad_norm: 5.7454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5003 loss: 2.5003 2022/07/27 10:49:32 - mmengine - INFO - Epoch(train) [42][3740/3757] lr: 8.7735e-03 eta: 2 days, 8:41:44 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 5.7754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5048 loss: 2.5048 2022/07/27 10:49:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:49:38 - mmengine - INFO - Epoch(train) [42][3757/3757] lr: 8.7735e-03 eta: 2 days, 8:41:44 time: 0.3912 data_time: 0.0165 memory: 17007 grad_norm: 5.9113 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.2709 loss: 2.2709 2022/07/27 10:49:38 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/07/27 10:49:50 - mmengine - INFO - Epoch(train) [43][20/3757] lr: 8.7157e-03 eta: 2 days, 8:41:12 time: 0.4610 data_time: 0.0823 memory: 17007 grad_norm: 5.8422 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6426 loss: 2.6426 2022/07/27 10:49:57 - mmengine - INFO - Epoch(train) [43][40/3757] lr: 8.7157e-03 eta: 2 days, 8:41:04 time: 0.3951 data_time: 0.0174 memory: 17007 grad_norm: 5.8618 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6227 loss: 2.6227 2022/07/27 10:50:05 - mmengine - INFO - Epoch(train) [43][60/3757] lr: 8.7157e-03 eta: 2 days, 8:40:56 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 5.8569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4593 loss: 2.4593 2022/07/27 10:50:13 - mmengine - INFO - Epoch(train) [43][80/3757] lr: 8.7157e-03 eta: 2 days, 8:40:48 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 5.6671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5842 loss: 2.5842 2022/07/27 10:50:21 - mmengine - INFO - Epoch(train) [43][100/3757] lr: 8.7157e-03 eta: 2 days, 8:40:41 time: 0.3996 data_time: 0.0157 memory: 17007 grad_norm: 5.9554 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.5805 loss: 2.5805 2022/07/27 10:50:29 - mmengine - INFO - Epoch(train) [43][120/3757] lr: 8.7157e-03 eta: 2 days, 8:40:33 time: 0.3920 data_time: 0.0164 memory: 17007 grad_norm: 5.7895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5689 loss: 2.5689 2022/07/27 10:50:37 - mmengine - INFO - Epoch(train) [43][140/3757] lr: 8.7157e-03 eta: 2 days, 8:40:25 time: 0.3965 data_time: 0.0172 memory: 17007 grad_norm: 5.6713 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3550 loss: 2.3550 2022/07/27 10:50:45 - mmengine - INFO - Epoch(train) [43][160/3757] lr: 8.7157e-03 eta: 2 days, 8:40:17 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.6086 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4747 loss: 2.4747 2022/07/27 10:50:53 - mmengine - INFO - Epoch(train) [43][180/3757] lr: 8.7157e-03 eta: 2 days, 8:40:09 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 5.8806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5046 loss: 2.5046 2022/07/27 10:51:01 - mmengine - INFO - Epoch(train) [43][200/3757] lr: 8.7157e-03 eta: 2 days, 8:40:02 time: 0.4008 data_time: 0.0164 memory: 17007 grad_norm: 5.6966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1554 loss: 2.1554 2022/07/27 10:51:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:51:09 - mmengine - INFO - Epoch(train) [43][220/3757] lr: 8.7157e-03 eta: 2 days, 8:39:54 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 5.6520 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2515 loss: 2.2515 2022/07/27 10:51:17 - mmengine - INFO - Epoch(train) [43][240/3757] lr: 8.7157e-03 eta: 2 days, 8:39:47 time: 0.4061 data_time: 0.0163 memory: 17007 grad_norm: 5.8916 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3990 loss: 2.3990 2022/07/27 10:51:25 - mmengine - INFO - Epoch(train) [43][260/3757] lr: 8.7157e-03 eta: 2 days, 8:39:39 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.8073 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6897 loss: 2.6897 2022/07/27 10:51:32 - mmengine - INFO - Epoch(train) [43][280/3757] lr: 8.7157e-03 eta: 2 days, 8:39:31 time: 0.3928 data_time: 0.0167 memory: 17007 grad_norm: 5.9995 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.6260 loss: 2.6260 2022/07/27 10:51:40 - mmengine - INFO - Epoch(train) [43][300/3757] lr: 8.7157e-03 eta: 2 days, 8:39:23 time: 0.3982 data_time: 0.0170 memory: 17007 grad_norm: 5.7185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9035 loss: 2.9035 2022/07/27 10:51:48 - mmengine - INFO - Epoch(train) [43][320/3757] lr: 8.7157e-03 eta: 2 days, 8:39:16 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 5.7021 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5895 loss: 2.5895 2022/07/27 10:51:56 - mmengine - INFO - Epoch(train) [43][340/3757] lr: 8.7157e-03 eta: 2 days, 8:39:08 time: 0.3988 data_time: 0.0150 memory: 17007 grad_norm: 5.6741 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4662 loss: 2.4662 2022/07/27 10:52:04 - mmengine - INFO - Epoch(train) [43][360/3757] lr: 8.7157e-03 eta: 2 days, 8:39:00 time: 0.3936 data_time: 0.0168 memory: 17007 grad_norm: 5.8382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2721 loss: 2.2721 2022/07/27 10:52:12 - mmengine - INFO - Epoch(train) [43][380/3757] lr: 8.7157e-03 eta: 2 days, 8:38:52 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 5.7034 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2585 loss: 2.2585 2022/07/27 10:52:20 - mmengine - INFO - Epoch(train) [43][400/3757] lr: 8.7157e-03 eta: 2 days, 8:38:45 time: 0.3990 data_time: 0.0168 memory: 17007 grad_norm: 5.9872 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5501 loss: 2.5501 2022/07/27 10:52:28 - mmengine - INFO - Epoch(train) [43][420/3757] lr: 8.7157e-03 eta: 2 days, 8:38:37 time: 0.3920 data_time: 0.0146 memory: 17007 grad_norm: 5.8618 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6424 loss: 2.6424 2022/07/27 10:52:36 - mmengine - INFO - Epoch(train) [43][440/3757] lr: 8.7157e-03 eta: 2 days, 8:38:29 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 5.8582 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2783 loss: 2.2783 2022/07/27 10:52:44 - mmengine - INFO - Epoch(train) [43][460/3757] lr: 8.7157e-03 eta: 2 days, 8:38:21 time: 0.3969 data_time: 0.0134 memory: 17007 grad_norm: 5.8336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5949 loss: 2.5949 2022/07/27 10:52:51 - mmengine - INFO - Epoch(train) [43][480/3757] lr: 8.7157e-03 eta: 2 days, 8:38:13 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 5.7589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2596 loss: 2.2596 2022/07/27 10:53:00 - mmengine - INFO - Epoch(train) [43][500/3757] lr: 8.7157e-03 eta: 2 days, 8:38:06 time: 0.4041 data_time: 0.0158 memory: 17007 grad_norm: 5.9083 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6762 loss: 2.6762 2022/07/27 10:53:07 - mmengine - INFO - Epoch(train) [43][520/3757] lr: 8.7157e-03 eta: 2 days, 8:37:58 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 5.7231 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5889 loss: 2.5889 2022/07/27 10:53:15 - mmengine - INFO - Epoch(train) [43][540/3757] lr: 8.7157e-03 eta: 2 days, 8:37:50 time: 0.3900 data_time: 0.0140 memory: 17007 grad_norm: 5.6742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2493 loss: 2.2493 2022/07/27 10:53:23 - mmengine - INFO - Epoch(train) [43][560/3757] lr: 8.7157e-03 eta: 2 days, 8:37:43 time: 0.4034 data_time: 0.0170 memory: 17007 grad_norm: 5.9315 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5499 loss: 2.5499 2022/07/27 10:53:31 - mmengine - INFO - Epoch(train) [43][580/3757] lr: 8.7157e-03 eta: 2 days, 8:37:35 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 5.7881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4486 loss: 2.4486 2022/07/27 10:53:39 - mmengine - INFO - Epoch(train) [43][600/3757] lr: 8.7157e-03 eta: 2 days, 8:37:27 time: 0.4024 data_time: 0.0171 memory: 17007 grad_norm: 5.6955 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4341 loss: 2.4341 2022/07/27 10:53:47 - mmengine - INFO - Epoch(train) [43][620/3757] lr: 8.7157e-03 eta: 2 days, 8:37:19 time: 0.3910 data_time: 0.0152 memory: 17007 grad_norm: 5.6360 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4262 loss: 2.4262 2022/07/27 10:53:55 - mmengine - INFO - Epoch(train) [43][640/3757] lr: 8.7157e-03 eta: 2 days, 8:37:11 time: 0.3915 data_time: 0.0149 memory: 17007 grad_norm: 5.6992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2781 loss: 2.2781 2022/07/27 10:54:03 - mmengine - INFO - Epoch(train) [43][660/3757] lr: 8.7157e-03 eta: 2 days, 8:37:04 time: 0.4022 data_time: 0.0159 memory: 17007 grad_norm: 5.7051 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0591 loss: 2.0591 2022/07/27 10:54:11 - mmengine - INFO - Epoch(train) [43][680/3757] lr: 8.7157e-03 eta: 2 days, 8:36:56 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 5.7639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2881 loss: 2.2881 2022/07/27 10:54:19 - mmengine - INFO - Epoch(train) [43][700/3757] lr: 8.7157e-03 eta: 2 days, 8:36:48 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 5.7815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8042 loss: 2.8042 2022/07/27 10:54:27 - mmengine - INFO - Epoch(train) [43][720/3757] lr: 8.7157e-03 eta: 2 days, 8:36:40 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 5.7774 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6042 loss: 2.6042 2022/07/27 10:54:34 - mmengine - INFO - Epoch(train) [43][740/3757] lr: 8.7157e-03 eta: 2 days, 8:36:32 time: 0.3912 data_time: 0.0152 memory: 17007 grad_norm: 5.6748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8705 loss: 2.8705 2022/07/27 10:54:42 - mmengine - INFO - Epoch(train) [43][760/3757] lr: 8.7157e-03 eta: 2 days, 8:36:25 time: 0.4047 data_time: 0.0175 memory: 17007 grad_norm: 5.6299 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6254 loss: 2.6254 2022/07/27 10:54:50 - mmengine - INFO - Epoch(train) [43][780/3757] lr: 8.7157e-03 eta: 2 days, 8:36:17 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 5.8969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8412 loss: 2.8412 2022/07/27 10:54:58 - mmengine - INFO - Epoch(train) [43][800/3757] lr: 8.7157e-03 eta: 2 days, 8:36:10 time: 0.3982 data_time: 0.0175 memory: 17007 grad_norm: 5.6544 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5328 loss: 2.5328 2022/07/27 10:55:06 - mmengine - INFO - Epoch(train) [43][820/3757] lr: 8.7157e-03 eta: 2 days, 8:36:02 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 5.6897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2355 loss: 2.2355 2022/07/27 10:55:14 - mmengine - INFO - Epoch(train) [43][840/3757] lr: 8.7157e-03 eta: 2 days, 8:35:54 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 5.8723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4821 loss: 2.4821 2022/07/27 10:55:22 - mmengine - INFO - Epoch(train) [43][860/3757] lr: 8.7157e-03 eta: 2 days, 8:35:46 time: 0.3952 data_time: 0.0166 memory: 17007 grad_norm: 5.7225 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6011 loss: 2.6011 2022/07/27 10:55:30 - mmengine - INFO - Epoch(train) [43][880/3757] lr: 8.7157e-03 eta: 2 days, 8:35:38 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.6737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5197 loss: 2.5197 2022/07/27 10:55:38 - mmengine - INFO - Epoch(train) [43][900/3757] lr: 8.7157e-03 eta: 2 days, 8:35:30 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 5.8391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5262 loss: 2.5262 2022/07/27 10:55:46 - mmengine - INFO - Epoch(train) [43][920/3757] lr: 8.7157e-03 eta: 2 days, 8:35:22 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.6889 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4600 loss: 2.4600 2022/07/27 10:55:53 - mmengine - INFO - Epoch(train) [43][940/3757] lr: 8.7157e-03 eta: 2 days, 8:35:14 time: 0.3916 data_time: 0.0148 memory: 17007 grad_norm: 5.6481 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4230 loss: 2.4230 2022/07/27 10:56:01 - mmengine - INFO - Epoch(train) [43][960/3757] lr: 8.7157e-03 eta: 2 days, 8:35:07 time: 0.4018 data_time: 0.0155 memory: 17007 grad_norm: 5.6352 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6113 loss: 2.6113 2022/07/27 10:56:09 - mmengine - INFO - Epoch(train) [43][980/3757] lr: 8.7157e-03 eta: 2 days, 8:34:59 time: 0.3920 data_time: 0.0147 memory: 17007 grad_norm: 5.7806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0789 loss: 2.0789 2022/07/27 10:56:17 - mmengine - INFO - Epoch(train) [43][1000/3757] lr: 8.7157e-03 eta: 2 days, 8:34:51 time: 0.3964 data_time: 0.0173 memory: 17007 grad_norm: 5.8201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9589 loss: 2.9589 2022/07/27 10:56:25 - mmengine - INFO - Epoch(train) [43][1020/3757] lr: 8.7157e-03 eta: 2 days, 8:34:43 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.8394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5869 loss: 2.5869 2022/07/27 10:56:33 - mmengine - INFO - Epoch(train) [43][1040/3757] lr: 8.7157e-03 eta: 2 days, 8:34:35 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.5179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3119 loss: 2.3119 2022/07/27 10:56:41 - mmengine - INFO - Epoch(train) [43][1060/3757] lr: 8.7157e-03 eta: 2 days, 8:34:28 time: 0.4060 data_time: 0.0170 memory: 17007 grad_norm: 5.6853 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5993 loss: 2.5993 2022/07/27 10:56:49 - mmengine - INFO - Epoch(train) [43][1080/3757] lr: 8.7157e-03 eta: 2 days, 8:34:21 time: 0.3936 data_time: 0.0168 memory: 17007 grad_norm: 5.7274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7677 loss: 2.7677 2022/07/27 10:56:57 - mmengine - INFO - Epoch(train) [43][1100/3757] lr: 8.7157e-03 eta: 2 days, 8:34:13 time: 0.3948 data_time: 0.0163 memory: 17007 grad_norm: 5.6585 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4589 loss: 2.4589 2022/07/27 10:57:05 - mmengine - INFO - Epoch(train) [43][1120/3757] lr: 8.7157e-03 eta: 2 days, 8:34:05 time: 0.3945 data_time: 0.0169 memory: 17007 grad_norm: 5.7766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1699 loss: 2.1699 2022/07/27 10:57:12 - mmengine - INFO - Epoch(train) [43][1140/3757] lr: 8.7157e-03 eta: 2 days, 8:33:57 time: 0.3918 data_time: 0.0147 memory: 17007 grad_norm: 5.8045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5592 loss: 2.5592 2022/07/27 10:57:20 - mmengine - INFO - Epoch(train) [43][1160/3757] lr: 8.7157e-03 eta: 2 days, 8:33:49 time: 0.3987 data_time: 0.0156 memory: 17007 grad_norm: 6.2643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5141 loss: 2.5141 2022/07/27 10:57:28 - mmengine - INFO - Epoch(train) [43][1180/3757] lr: 8.7157e-03 eta: 2 days, 8:33:41 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 5.8454 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5347 loss: 2.5347 2022/07/27 10:57:36 - mmengine - INFO - Epoch(train) [43][1200/3757] lr: 8.7157e-03 eta: 2 days, 8:33:34 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.9199 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5238 loss: 2.5238 2022/07/27 10:57:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 10:57:44 - mmengine - INFO - Epoch(train) [43][1220/3757] lr: 8.7157e-03 eta: 2 days, 8:33:26 time: 0.3922 data_time: 0.0133 memory: 17007 grad_norm: 5.7313 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5819 loss: 2.5819 2022/07/27 10:57:52 - mmengine - INFO - Epoch(train) [43][1240/3757] lr: 8.7157e-03 eta: 2 days, 8:33:18 time: 0.3945 data_time: 0.0171 memory: 17007 grad_norm: 5.7994 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3961 loss: 2.3961 2022/07/27 10:58:00 - mmengine - INFO - Epoch(train) [43][1260/3757] lr: 8.7157e-03 eta: 2 days, 8:33:10 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 5.7471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4261 loss: 2.4261 2022/07/27 10:58:08 - mmengine - INFO - Epoch(train) [43][1280/3757] lr: 8.7157e-03 eta: 2 days, 8:33:02 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.7074 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4481 loss: 2.4481 2022/07/27 10:58:15 - mmengine - INFO - Epoch(train) [43][1300/3757] lr: 8.7157e-03 eta: 2 days, 8:32:54 time: 0.3898 data_time: 0.0140 memory: 17007 grad_norm: 5.8874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5320 loss: 2.5320 2022/07/27 10:58:23 - mmengine - INFO - Epoch(train) [43][1320/3757] lr: 8.7157e-03 eta: 2 days, 8:32:46 time: 0.3990 data_time: 0.0166 memory: 17007 grad_norm: 5.4798 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4375 loss: 2.4375 2022/07/27 10:58:31 - mmengine - INFO - Epoch(train) [43][1340/3757] lr: 8.7157e-03 eta: 2 days, 8:32:38 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 5.6424 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3347 loss: 2.3347 2022/07/27 10:58:39 - mmengine - INFO - Epoch(train) [43][1360/3757] lr: 8.7157e-03 eta: 2 days, 8:32:31 time: 0.3954 data_time: 0.0163 memory: 17007 grad_norm: 5.8155 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5789 loss: 2.5789 2022/07/27 10:58:47 - mmengine - INFO - Epoch(train) [43][1380/3757] lr: 8.7157e-03 eta: 2 days, 8:32:23 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.8038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2886 loss: 2.2886 2022/07/27 10:58:55 - mmengine - INFO - Epoch(train) [43][1400/3757] lr: 8.7157e-03 eta: 2 days, 8:32:15 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 5.9089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5954 loss: 2.5954 2022/07/27 10:59:03 - mmengine - INFO - Epoch(train) [43][1420/3757] lr: 8.7157e-03 eta: 2 days, 8:32:07 time: 0.3963 data_time: 0.0165 memory: 17007 grad_norm: 5.8663 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2155 loss: 2.2155 2022/07/27 10:59:11 - mmengine - INFO - Epoch(train) [43][1440/3757] lr: 8.7157e-03 eta: 2 days, 8:31:59 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 5.9094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4642 loss: 2.4642 2022/07/27 10:59:19 - mmengine - INFO - Epoch(train) [43][1460/3757] lr: 8.7157e-03 eta: 2 days, 8:31:52 time: 0.3983 data_time: 0.0140 memory: 17007 grad_norm: 5.7573 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4112 loss: 2.4112 2022/07/27 10:59:27 - mmengine - INFO - Epoch(train) [43][1480/3757] lr: 8.7157e-03 eta: 2 days, 8:31:44 time: 0.3970 data_time: 0.0190 memory: 17007 grad_norm: 5.6296 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5316 loss: 2.5316 2022/07/27 10:59:35 - mmengine - INFO - Epoch(train) [43][1500/3757] lr: 8.7157e-03 eta: 2 days, 8:31:36 time: 0.3922 data_time: 0.0150 memory: 17007 grad_norm: 5.6538 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4073 loss: 2.4073 2022/07/27 10:59:42 - mmengine - INFO - Epoch(train) [43][1520/3757] lr: 8.7157e-03 eta: 2 days, 8:31:28 time: 0.3922 data_time: 0.0158 memory: 17007 grad_norm: 5.6911 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1880 loss: 2.1880 2022/07/27 10:59:50 - mmengine - INFO - Epoch(train) [43][1540/3757] lr: 8.7157e-03 eta: 2 days, 8:31:20 time: 0.3937 data_time: 0.0152 memory: 17007 grad_norm: 5.7994 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4823 loss: 2.4823 2022/07/27 10:59:58 - mmengine - INFO - Epoch(train) [43][1560/3757] lr: 8.7157e-03 eta: 2 days, 8:31:12 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.7545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6406 loss: 2.6406 2022/07/27 11:00:06 - mmengine - INFO - Epoch(train) [43][1580/3757] lr: 8.7157e-03 eta: 2 days, 8:31:04 time: 0.3913 data_time: 0.0147 memory: 17007 grad_norm: 5.7885 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4263 loss: 2.4263 2022/07/27 11:00:14 - mmengine - INFO - Epoch(train) [43][1600/3757] lr: 8.7157e-03 eta: 2 days, 8:30:56 time: 0.3954 data_time: 0.0169 memory: 17007 grad_norm: 5.6418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4193 loss: 2.4193 2022/07/27 11:00:22 - mmengine - INFO - Epoch(train) [43][1620/3757] lr: 8.7157e-03 eta: 2 days, 8:30:48 time: 0.3924 data_time: 0.0146 memory: 17007 grad_norm: 5.7906 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4872 loss: 2.4872 2022/07/27 11:00:30 - mmengine - INFO - Epoch(train) [43][1640/3757] lr: 8.7157e-03 eta: 2 days, 8:30:41 time: 0.3950 data_time: 0.0167 memory: 17007 grad_norm: 5.8712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4733 loss: 2.4733 2022/07/27 11:00:37 - mmengine - INFO - Epoch(train) [43][1660/3757] lr: 8.7157e-03 eta: 2 days, 8:30:33 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 5.8556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7243 loss: 2.7243 2022/07/27 11:00:45 - mmengine - INFO - Epoch(train) [43][1680/3757] lr: 8.7157e-03 eta: 2 days, 8:30:25 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 5.6170 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6968 loss: 2.6968 2022/07/27 11:00:53 - mmengine - INFO - Epoch(train) [43][1700/3757] lr: 8.7157e-03 eta: 2 days, 8:30:17 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 5.5566 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2700 loss: 2.2700 2022/07/27 11:01:01 - mmengine - INFO - Epoch(train) [43][1720/3757] lr: 8.7157e-03 eta: 2 days, 8:30:09 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 5.9045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3284 loss: 2.3284 2022/07/27 11:01:09 - mmengine - INFO - Epoch(train) [43][1740/3757] lr: 8.7157e-03 eta: 2 days, 8:30:01 time: 0.3962 data_time: 0.0160 memory: 17007 grad_norm: 5.7941 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5227 loss: 2.5227 2022/07/27 11:01:17 - mmengine - INFO - Epoch(train) [43][1760/3757] lr: 8.7157e-03 eta: 2 days, 8:29:54 time: 0.4031 data_time: 0.0160 memory: 17007 grad_norm: 5.6646 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4738 loss: 2.4738 2022/07/27 11:01:25 - mmengine - INFO - Epoch(train) [43][1780/3757] lr: 8.7157e-03 eta: 2 days, 8:29:46 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 5.5569 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3543 loss: 2.3543 2022/07/27 11:01:33 - mmengine - INFO - Epoch(train) [43][1800/3757] lr: 8.7157e-03 eta: 2 days, 8:29:38 time: 0.3937 data_time: 0.0172 memory: 17007 grad_norm: 5.7358 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4489 loss: 2.4489 2022/07/27 11:01:41 - mmengine - INFO - Epoch(train) [43][1820/3757] lr: 8.7157e-03 eta: 2 days, 8:29:30 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 5.9172 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6991 loss: 2.6991 2022/07/27 11:01:49 - mmengine - INFO - Epoch(train) [43][1840/3757] lr: 8.7157e-03 eta: 2 days, 8:29:23 time: 0.3955 data_time: 0.0166 memory: 17007 grad_norm: 5.8215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6453 loss: 2.6453 2022/07/27 11:01:56 - mmengine - INFO - Epoch(train) [43][1860/3757] lr: 8.7157e-03 eta: 2 days, 8:29:15 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.7430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4107 loss: 2.4107 2022/07/27 11:02:04 - mmengine - INFO - Epoch(train) [43][1880/3757] lr: 8.7157e-03 eta: 2 days, 8:29:07 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 5.8190 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2055 loss: 2.2055 2022/07/27 11:02:12 - mmengine - INFO - Epoch(train) [43][1900/3757] lr: 8.7157e-03 eta: 2 days, 8:28:59 time: 0.4008 data_time: 0.0162 memory: 17007 grad_norm: 6.0219 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3648 loss: 2.3648 2022/07/27 11:02:20 - mmengine - INFO - Epoch(train) [43][1920/3757] lr: 8.7157e-03 eta: 2 days, 8:28:51 time: 0.3918 data_time: 0.0162 memory: 17007 grad_norm: 5.8912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5619 loss: 2.5619 2022/07/27 11:02:28 - mmengine - INFO - Epoch(train) [43][1940/3757] lr: 8.7157e-03 eta: 2 days, 8:28:44 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 5.9514 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6749 loss: 2.6749 2022/07/27 11:02:36 - mmengine - INFO - Epoch(train) [43][1960/3757] lr: 8.7157e-03 eta: 2 days, 8:28:36 time: 0.3943 data_time: 0.0170 memory: 17007 grad_norm: 5.6727 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4776 loss: 2.4776 2022/07/27 11:02:44 - mmengine - INFO - Epoch(train) [43][1980/3757] lr: 8.7157e-03 eta: 2 days, 8:28:28 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 5.8165 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4635 loss: 2.4635 2022/07/27 11:02:52 - mmengine - INFO - Epoch(train) [43][2000/3757] lr: 8.7157e-03 eta: 2 days, 8:28:20 time: 0.3965 data_time: 0.0169 memory: 17007 grad_norm: 6.5544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0937 loss: 3.0937 2022/07/27 11:03:00 - mmengine - INFO - Epoch(train) [43][2020/3757] lr: 8.7157e-03 eta: 2 days, 8:28:12 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 5.8936 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6856 loss: 2.6856 2022/07/27 11:03:08 - mmengine - INFO - Epoch(train) [43][2040/3757] lr: 8.7157e-03 eta: 2 days, 8:28:05 time: 0.4068 data_time: 0.0166 memory: 17007 grad_norm: 5.9045 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3862 loss: 2.3862 2022/07/27 11:03:16 - mmengine - INFO - Epoch(train) [43][2060/3757] lr: 8.7157e-03 eta: 2 days, 8:27:57 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 5.8882 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6531 loss: 2.6531 2022/07/27 11:03:23 - mmengine - INFO - Epoch(train) [43][2080/3757] lr: 8.7157e-03 eta: 2 days, 8:27:49 time: 0.3942 data_time: 0.0170 memory: 17007 grad_norm: 5.5644 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5866 loss: 2.5866 2022/07/27 11:03:31 - mmengine - INFO - Epoch(train) [43][2100/3757] lr: 8.7157e-03 eta: 2 days, 8:27:41 time: 0.3922 data_time: 0.0145 memory: 17007 grad_norm: 5.5736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5631 loss: 2.5631 2022/07/27 11:03:39 - mmengine - INFO - Epoch(train) [43][2120/3757] lr: 8.7157e-03 eta: 2 days, 8:27:34 time: 0.3959 data_time: 0.0166 memory: 17007 grad_norm: 5.8819 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4725 loss: 2.4725 2022/07/27 11:03:47 - mmengine - INFO - Epoch(train) [43][2140/3757] lr: 8.7157e-03 eta: 2 days, 8:27:26 time: 0.3930 data_time: 0.0147 memory: 17007 grad_norm: 5.6861 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2603 loss: 2.2603 2022/07/27 11:03:55 - mmengine - INFO - Epoch(train) [43][2160/3757] lr: 8.7157e-03 eta: 2 days, 8:27:18 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 5.8744 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0110 loss: 3.0110 2022/07/27 11:04:03 - mmengine - INFO - Epoch(train) [43][2180/3757] lr: 8.7157e-03 eta: 2 days, 8:27:10 time: 0.3957 data_time: 0.0142 memory: 17007 grad_norm: 5.8202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5997 loss: 2.5997 2022/07/27 11:04:11 - mmengine - INFO - Epoch(train) [43][2200/3757] lr: 8.7157e-03 eta: 2 days, 8:27:02 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 5.8178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4471 loss: 2.4471 2022/07/27 11:04:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:04:19 - mmengine - INFO - Epoch(train) [43][2220/3757] lr: 8.7157e-03 eta: 2 days, 8:26:54 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 5.9782 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5690 loss: 2.5690 2022/07/27 11:04:27 - mmengine - INFO - Epoch(train) [43][2240/3757] lr: 8.7157e-03 eta: 2 days, 8:26:46 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 5.8429 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4610 loss: 2.4610 2022/07/27 11:04:35 - mmengine - INFO - Epoch(train) [43][2260/3757] lr: 8.7157e-03 eta: 2 days, 8:26:39 time: 0.4023 data_time: 0.0154 memory: 17007 grad_norm: 6.1413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6100 loss: 2.6100 2022/07/27 11:04:42 - mmengine - INFO - Epoch(train) [43][2280/3757] lr: 8.7157e-03 eta: 2 days, 8:26:31 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 5.9821 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6897 loss: 2.6897 2022/07/27 11:04:50 - mmengine - INFO - Epoch(train) [43][2300/3757] lr: 8.7157e-03 eta: 2 days, 8:26:23 time: 0.3950 data_time: 0.0168 memory: 17007 grad_norm: 5.7092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4884 loss: 2.4884 2022/07/27 11:04:58 - mmengine - INFO - Epoch(train) [43][2320/3757] lr: 8.7157e-03 eta: 2 days, 8:26:15 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 5.5253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4397 loss: 2.4397 2022/07/27 11:05:06 - mmengine - INFO - Epoch(train) [43][2340/3757] lr: 8.7157e-03 eta: 2 days, 8:26:07 time: 0.3918 data_time: 0.0145 memory: 17007 grad_norm: 5.6771 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3528 loss: 2.3528 2022/07/27 11:05:14 - mmengine - INFO - Epoch(train) [43][2360/3757] lr: 8.7157e-03 eta: 2 days, 8:26:00 time: 0.3942 data_time: 0.0159 memory: 17007 grad_norm: 5.9473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3642 loss: 2.3642 2022/07/27 11:05:22 - mmengine - INFO - Epoch(train) [43][2380/3757] lr: 8.7157e-03 eta: 2 days, 8:25:52 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 5.8945 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5183 loss: 2.5183 2022/07/27 11:05:30 - mmengine - INFO - Epoch(train) [43][2400/3757] lr: 8.7157e-03 eta: 2 days, 8:25:44 time: 0.3976 data_time: 0.0160 memory: 17007 grad_norm: 5.6589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0181 loss: 2.0181 2022/07/27 11:05:38 - mmengine - INFO - Epoch(train) [43][2420/3757] lr: 8.7157e-03 eta: 2 days, 8:25:36 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 5.8974 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3095 loss: 2.3095 2022/07/27 11:05:46 - mmengine - INFO - Epoch(train) [43][2440/3757] lr: 8.7157e-03 eta: 2 days, 8:25:28 time: 0.3942 data_time: 0.0178 memory: 17007 grad_norm: 5.8543 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6854 loss: 2.6854 2022/07/27 11:05:53 - mmengine - INFO - Epoch(train) [43][2460/3757] lr: 8.7157e-03 eta: 2 days, 8:25:21 time: 0.3960 data_time: 0.0148 memory: 17007 grad_norm: 5.7161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3550 loss: 2.3550 2022/07/27 11:06:01 - mmengine - INFO - Epoch(train) [43][2480/3757] lr: 8.7157e-03 eta: 2 days, 8:25:13 time: 0.3964 data_time: 0.0159 memory: 17007 grad_norm: 6.0040 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4993 loss: 2.4993 2022/07/27 11:06:09 - mmengine - INFO - Epoch(train) [43][2500/3757] lr: 8.7157e-03 eta: 2 days, 8:25:05 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 5.6254 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5838 loss: 2.5838 2022/07/27 11:06:17 - mmengine - INFO - Epoch(train) [43][2520/3757] lr: 8.7157e-03 eta: 2 days, 8:24:57 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 5.5918 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3240 loss: 2.3240 2022/07/27 11:06:25 - mmengine - INFO - Epoch(train) [43][2540/3757] lr: 8.7157e-03 eta: 2 days, 8:24:49 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 5.9741 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.5505 loss: 2.5505 2022/07/27 11:06:33 - mmengine - INFO - Epoch(train) [43][2560/3757] lr: 8.7157e-03 eta: 2 days, 8:24:42 time: 0.3959 data_time: 0.0155 memory: 17007 grad_norm: 5.6297 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2588 loss: 2.2588 2022/07/27 11:06:41 - mmengine - INFO - Epoch(train) [43][2580/3757] lr: 8.7157e-03 eta: 2 days, 8:24:34 time: 0.3943 data_time: 0.0165 memory: 17007 grad_norm: 6.0255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4884 loss: 2.4884 2022/07/27 11:06:49 - mmengine - INFO - Epoch(train) [43][2600/3757] lr: 8.7157e-03 eta: 2 days, 8:24:26 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 5.9488 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3627 loss: 2.3627 2022/07/27 11:06:57 - mmengine - INFO - Epoch(train) [43][2620/3757] lr: 8.7157e-03 eta: 2 days, 8:24:18 time: 0.3911 data_time: 0.0157 memory: 17007 grad_norm: 5.6935 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4394 loss: 2.4394 2022/07/27 11:07:04 - mmengine - INFO - Epoch(train) [43][2640/3757] lr: 8.7157e-03 eta: 2 days, 8:24:10 time: 0.3956 data_time: 0.0155 memory: 17007 grad_norm: 5.8760 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3780 loss: 2.3780 2022/07/27 11:07:12 - mmengine - INFO - Epoch(train) [43][2660/3757] lr: 8.7157e-03 eta: 2 days, 8:24:03 time: 0.3983 data_time: 0.0143 memory: 17007 grad_norm: 5.9685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6608 loss: 2.6608 2022/07/27 11:07:20 - mmengine - INFO - Epoch(train) [43][2680/3757] lr: 8.7157e-03 eta: 2 days, 8:23:55 time: 0.3922 data_time: 0.0167 memory: 17007 grad_norm: 5.8320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4730 loss: 2.4730 2022/07/27 11:07:28 - mmengine - INFO - Epoch(train) [43][2700/3757] lr: 8.7157e-03 eta: 2 days, 8:23:47 time: 0.3941 data_time: 0.0164 memory: 17007 grad_norm: 5.7619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4625 loss: 2.4625 2022/07/27 11:07:36 - mmengine - INFO - Epoch(train) [43][2720/3757] lr: 8.7157e-03 eta: 2 days, 8:23:39 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 5.9536 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5234 loss: 2.5234 2022/07/27 11:07:44 - mmengine - INFO - Epoch(train) [43][2740/3757] lr: 8.7157e-03 eta: 2 days, 8:23:31 time: 0.3930 data_time: 0.0146 memory: 17007 grad_norm: 5.8722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2269 loss: 2.2269 2022/07/27 11:07:52 - mmengine - INFO - Epoch(train) [43][2760/3757] lr: 8.7157e-03 eta: 2 days, 8:23:23 time: 0.3954 data_time: 0.0161 memory: 17007 grad_norm: 5.7748 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5210 loss: 2.5210 2022/07/27 11:08:00 - mmengine - INFO - Epoch(train) [43][2780/3757] lr: 8.7157e-03 eta: 2 days, 8:23:15 time: 0.3966 data_time: 0.0159 memory: 17007 grad_norm: 5.7774 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5157 loss: 2.5157 2022/07/27 11:08:08 - mmengine - INFO - Epoch(train) [43][2800/3757] lr: 8.7157e-03 eta: 2 days, 8:23:08 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 5.6626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3978 loss: 2.3978 2022/07/27 11:08:15 - mmengine - INFO - Epoch(train) [43][2820/3757] lr: 8.7157e-03 eta: 2 days, 8:23:00 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 5.8702 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3859 loss: 2.3859 2022/07/27 11:08:23 - mmengine - INFO - Epoch(train) [43][2840/3757] lr: 8.7157e-03 eta: 2 days, 8:22:52 time: 0.3954 data_time: 0.0167 memory: 17007 grad_norm: 5.6869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2869 loss: 2.2869 2022/07/27 11:08:31 - mmengine - INFO - Epoch(train) [43][2860/3757] lr: 8.7157e-03 eta: 2 days, 8:22:45 time: 0.4018 data_time: 0.0163 memory: 17007 grad_norm: 5.7155 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6464 loss: 2.6464 2022/07/27 11:08:39 - mmengine - INFO - Epoch(train) [43][2880/3757] lr: 8.7157e-03 eta: 2 days, 8:22:37 time: 0.3972 data_time: 0.0174 memory: 17007 grad_norm: 5.6501 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9149 loss: 2.9149 2022/07/27 11:08:47 - mmengine - INFO - Epoch(train) [43][2900/3757] lr: 8.7157e-03 eta: 2 days, 8:22:29 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 5.8601 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5603 loss: 2.5603 2022/07/27 11:08:55 - mmengine - INFO - Epoch(train) [43][2920/3757] lr: 8.7157e-03 eta: 2 days, 8:22:22 time: 0.4041 data_time: 0.0163 memory: 17007 grad_norm: 5.8428 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5055 loss: 2.5055 2022/07/27 11:09:03 - mmengine - INFO - Epoch(train) [43][2940/3757] lr: 8.7157e-03 eta: 2 days, 8:22:14 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 5.6851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5336 loss: 2.5336 2022/07/27 11:09:11 - mmengine - INFO - Epoch(train) [43][2960/3757] lr: 8.7157e-03 eta: 2 days, 8:22:06 time: 0.3968 data_time: 0.0170 memory: 17007 grad_norm: 5.7243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6377 loss: 2.6377 2022/07/27 11:09:19 - mmengine - INFO - Epoch(train) [43][2980/3757] lr: 8.7157e-03 eta: 2 days, 8:21:58 time: 0.3940 data_time: 0.0161 memory: 17007 grad_norm: 5.6862 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5252 loss: 2.5252 2022/07/27 11:09:27 - mmengine - INFO - Epoch(train) [43][3000/3757] lr: 8.7157e-03 eta: 2 days, 8:21:51 time: 0.3930 data_time: 0.0167 memory: 17007 grad_norm: 5.7862 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6825 loss: 2.6825 2022/07/27 11:09:35 - mmengine - INFO - Epoch(train) [43][3020/3757] lr: 8.7157e-03 eta: 2 days, 8:21:44 time: 0.4195 data_time: 0.0152 memory: 17007 grad_norm: 5.5660 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4518 loss: 2.4518 2022/07/27 11:09:43 - mmengine - INFO - Epoch(train) [43][3040/3757] lr: 8.7157e-03 eta: 2 days, 8:21:36 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 5.6920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5853 loss: 2.5853 2022/07/27 11:09:51 - mmengine - INFO - Epoch(train) [43][3060/3757] lr: 8.7157e-03 eta: 2 days, 8:21:29 time: 0.4077 data_time: 0.0169 memory: 17007 grad_norm: 5.7371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6148 loss: 2.6148 2022/07/27 11:09:59 - mmengine - INFO - Epoch(train) [43][3080/3757] lr: 8.7157e-03 eta: 2 days, 8:21:22 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 5.7633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3522 loss: 2.3522 2022/07/27 11:10:07 - mmengine - INFO - Epoch(train) [43][3100/3757] lr: 8.7157e-03 eta: 2 days, 8:21:14 time: 0.3910 data_time: 0.0150 memory: 17007 grad_norm: 5.8543 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8633 loss: 2.8633 2022/07/27 11:10:15 - mmengine - INFO - Epoch(train) [43][3120/3757] lr: 8.7157e-03 eta: 2 days, 8:21:06 time: 0.3939 data_time: 0.0163 memory: 17007 grad_norm: 5.8634 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4484 loss: 2.4484 2022/07/27 11:10:23 - mmengine - INFO - Epoch(train) [43][3140/3757] lr: 8.7157e-03 eta: 2 days, 8:20:58 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 5.9711 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5508 loss: 2.5508 2022/07/27 11:10:31 - mmengine - INFO - Epoch(train) [43][3160/3757] lr: 8.7157e-03 eta: 2 days, 8:20:51 time: 0.4026 data_time: 0.0175 memory: 17007 grad_norm: 5.9211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4580 loss: 2.4580 2022/07/27 11:10:39 - mmengine - INFO - Epoch(train) [43][3180/3757] lr: 8.7157e-03 eta: 2 days, 8:20:43 time: 0.3916 data_time: 0.0151 memory: 17007 grad_norm: 5.9188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6940 loss: 2.6940 2022/07/27 11:10:47 - mmengine - INFO - Epoch(train) [43][3200/3757] lr: 8.7157e-03 eta: 2 days, 8:20:35 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 5.7467 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5227 loss: 2.5227 2022/07/27 11:10:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:10:55 - mmengine - INFO - Epoch(train) [43][3220/3757] lr: 8.7157e-03 eta: 2 days, 8:20:27 time: 0.4032 data_time: 0.0164 memory: 17007 grad_norm: 5.9113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7956 loss: 2.7956 2022/07/27 11:11:02 - mmengine - INFO - Epoch(train) [43][3240/3757] lr: 8.7157e-03 eta: 2 days, 8:20:19 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 5.9060 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4763 loss: 2.4763 2022/07/27 11:11:10 - mmengine - INFO - Epoch(train) [43][3260/3757] lr: 8.7157e-03 eta: 2 days, 8:20:12 time: 0.3934 data_time: 0.0162 memory: 17007 grad_norm: 5.8402 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3974 loss: 2.3974 2022/07/27 11:11:18 - mmengine - INFO - Epoch(train) [43][3280/3757] lr: 8.7157e-03 eta: 2 days, 8:20:04 time: 0.3936 data_time: 0.0164 memory: 17007 grad_norm: 5.6067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3484 loss: 2.3484 2022/07/27 11:11:26 - mmengine - INFO - Epoch(train) [43][3300/3757] lr: 8.7157e-03 eta: 2 days, 8:19:56 time: 0.3914 data_time: 0.0142 memory: 17007 grad_norm: 5.9941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6895 loss: 2.6895 2022/07/27 11:11:34 - mmengine - INFO - Epoch(train) [43][3320/3757] lr: 8.7157e-03 eta: 2 days, 8:19:48 time: 0.4027 data_time: 0.0166 memory: 17007 grad_norm: 5.7325 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6709 loss: 2.6709 2022/07/27 11:11:42 - mmengine - INFO - Epoch(train) [43][3340/3757] lr: 8.7157e-03 eta: 2 days, 8:19:40 time: 0.3937 data_time: 0.0156 memory: 17007 grad_norm: 5.6643 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8310 loss: 2.8310 2022/07/27 11:11:50 - mmengine - INFO - Epoch(train) [43][3360/3757] lr: 8.7157e-03 eta: 2 days, 8:19:33 time: 0.3974 data_time: 0.0176 memory: 17007 grad_norm: 6.0135 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4313 loss: 2.4313 2022/07/27 11:11:58 - mmengine - INFO - Epoch(train) [43][3380/3757] lr: 8.7157e-03 eta: 2 days, 8:19:25 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 5.6796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3978 loss: 2.3978 2022/07/27 11:12:06 - mmengine - INFO - Epoch(train) [43][3400/3757] lr: 8.7157e-03 eta: 2 days, 8:19:17 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.7805 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7915 loss: 2.7915 2022/07/27 11:12:14 - mmengine - INFO - Epoch(train) [43][3420/3757] lr: 8.7157e-03 eta: 2 days, 8:19:09 time: 0.3953 data_time: 0.0162 memory: 17007 grad_norm: 5.7227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1227 loss: 2.1227 2022/07/27 11:12:21 - mmengine - INFO - Epoch(train) [43][3440/3757] lr: 8.7157e-03 eta: 2 days, 8:19:01 time: 0.3948 data_time: 0.0166 memory: 17007 grad_norm: 5.6586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6817 loss: 2.6817 2022/07/27 11:12:29 - mmengine - INFO - Epoch(train) [43][3460/3757] lr: 8.7157e-03 eta: 2 days, 8:18:53 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 5.7233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4327 loss: 2.4327 2022/07/27 11:12:37 - mmengine - INFO - Epoch(train) [43][3480/3757] lr: 8.7157e-03 eta: 2 days, 8:18:46 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 5.7237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3954 loss: 2.3954 2022/07/27 11:12:45 - mmengine - INFO - Epoch(train) [43][3500/3757] lr: 8.7157e-03 eta: 2 days, 8:18:38 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 5.8825 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.5560 loss: 2.5560 2022/07/27 11:12:53 - mmengine - INFO - Epoch(train) [43][3520/3757] lr: 8.7157e-03 eta: 2 days, 8:18:30 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 5.8924 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5862 loss: 2.5862 2022/07/27 11:13:01 - mmengine - INFO - Epoch(train) [43][3540/3757] lr: 8.7157e-03 eta: 2 days, 8:18:22 time: 0.3967 data_time: 0.0177 memory: 17007 grad_norm: 5.5425 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5163 loss: 2.5163 2022/07/27 11:13:09 - mmengine - INFO - Epoch(train) [43][3560/3757] lr: 8.7157e-03 eta: 2 days, 8:18:14 time: 0.3952 data_time: 0.0161 memory: 17007 grad_norm: 5.7896 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4755 loss: 2.4755 2022/07/27 11:13:17 - mmengine - INFO - Epoch(train) [43][3580/3757] lr: 8.7157e-03 eta: 2 days, 8:18:07 time: 0.3940 data_time: 0.0161 memory: 17007 grad_norm: 5.5412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2899 loss: 2.2899 2022/07/27 11:13:25 - mmengine - INFO - Epoch(train) [43][3600/3757] lr: 8.7157e-03 eta: 2 days, 8:17:59 time: 0.4046 data_time: 0.0167 memory: 17007 grad_norm: 5.6420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6004 loss: 2.6004 2022/07/27 11:13:33 - mmengine - INFO - Epoch(train) [43][3620/3757] lr: 8.7157e-03 eta: 2 days, 8:17:51 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 5.7309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6363 loss: 2.6363 2022/07/27 11:13:41 - mmengine - INFO - Epoch(train) [43][3640/3757] lr: 8.7157e-03 eta: 2 days, 8:17:44 time: 0.4001 data_time: 0.0199 memory: 17007 grad_norm: 5.7051 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3510 loss: 2.3510 2022/07/27 11:13:49 - mmengine - INFO - Epoch(train) [43][3660/3757] lr: 8.7157e-03 eta: 2 days, 8:17:37 time: 0.4032 data_time: 0.0161 memory: 17007 grad_norm: 5.8225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6676 loss: 2.6676 2022/07/27 11:13:57 - mmengine - INFO - Epoch(train) [43][3680/3757] lr: 8.7157e-03 eta: 2 days, 8:17:29 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 5.5744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6820 loss: 2.6820 2022/07/27 11:14:05 - mmengine - INFO - Epoch(train) [43][3700/3757] lr: 8.7157e-03 eta: 2 days, 8:17:21 time: 0.3957 data_time: 0.0159 memory: 17007 grad_norm: 5.7792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3362 loss: 2.3362 2022/07/27 11:14:12 - mmengine - INFO - Epoch(train) [43][3720/3757] lr: 8.7157e-03 eta: 2 days, 8:17:13 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 5.5972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5611 loss: 2.5611 2022/07/27 11:14:21 - mmengine - INFO - Epoch(train) [43][3740/3757] lr: 8.7157e-03 eta: 2 days, 8:17:07 time: 0.4126 data_time: 0.0163 memory: 17007 grad_norm: 5.7764 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6046 loss: 2.6046 2022/07/27 11:14:27 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:14:27 - mmengine - INFO - Epoch(train) [43][3757/3757] lr: 8.7157e-03 eta: 2 days, 8:17:07 time: 0.3894 data_time: 0.0163 memory: 17007 grad_norm: 5.7983 top1_acc: 0.1429 top5_acc: 0.1429 loss_cls: 2.4456 loss: 2.4456 2022/07/27 11:14:27 - mmengine - INFO - Saving checkpoint at 43 epochs 2022/07/27 11:14:38 - mmengine - INFO - Epoch(train) [44][20/3757] lr: 8.6568e-03 eta: 2 days, 8:16:35 time: 0.4572 data_time: 0.0751 memory: 17007 grad_norm: 5.8703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2814 loss: 2.2814 2022/07/27 11:14:46 - mmengine - INFO - Epoch(train) [44][40/3757] lr: 8.6568e-03 eta: 2 days, 8:16:27 time: 0.3925 data_time: 0.0159 memory: 17007 grad_norm: 5.7865 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5438 loss: 2.5438 2022/07/27 11:14:54 - mmengine - INFO - Epoch(train) [44][60/3757] lr: 8.6568e-03 eta: 2 days, 8:16:19 time: 0.3921 data_time: 0.0151 memory: 17007 grad_norm: 5.8528 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3244 loss: 2.3244 2022/07/27 11:15:02 - mmengine - INFO - Epoch(train) [44][80/3757] lr: 8.6568e-03 eta: 2 days, 8:16:11 time: 0.3948 data_time: 0.0165 memory: 17007 grad_norm: 5.8370 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3197 loss: 2.3197 2022/07/27 11:15:10 - mmengine - INFO - Epoch(train) [44][100/3757] lr: 8.6568e-03 eta: 2 days, 8:16:03 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 6.0312 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6135 loss: 2.6135 2022/07/27 11:15:18 - mmengine - INFO - Epoch(train) [44][120/3757] lr: 8.6568e-03 eta: 2 days, 8:15:55 time: 0.3929 data_time: 0.0164 memory: 17007 grad_norm: 5.7161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4816 loss: 2.4816 2022/07/27 11:15:26 - mmengine - INFO - Epoch(train) [44][140/3757] lr: 8.6568e-03 eta: 2 days, 8:15:47 time: 0.3933 data_time: 0.0135 memory: 17007 grad_norm: 5.8204 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3213 loss: 2.3213 2022/07/27 11:15:34 - mmengine - INFO - Epoch(train) [44][160/3757] lr: 8.6568e-03 eta: 2 days, 8:15:40 time: 0.3989 data_time: 0.0168 memory: 17007 grad_norm: 5.9595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.4819 loss: 2.4819 2022/07/27 11:15:41 - mmengine - INFO - Epoch(train) [44][180/3757] lr: 8.6568e-03 eta: 2 days, 8:15:32 time: 0.3939 data_time: 0.0170 memory: 17007 grad_norm: 5.7252 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7634 loss: 2.7634 2022/07/27 11:15:49 - mmengine - INFO - Epoch(train) [44][200/3757] lr: 8.6568e-03 eta: 2 days, 8:15:24 time: 0.3938 data_time: 0.0168 memory: 17007 grad_norm: 5.6487 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3516 loss: 2.3516 2022/07/27 11:15:57 - mmengine - INFO - Epoch(train) [44][220/3757] lr: 8.6568e-03 eta: 2 days, 8:15:16 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 5.8989 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5254 loss: 2.5254 2022/07/27 11:16:05 - mmengine - INFO - Epoch(train) [44][240/3757] lr: 8.6568e-03 eta: 2 days, 8:15:08 time: 0.3935 data_time: 0.0164 memory: 17007 grad_norm: 5.7838 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7982 loss: 2.7982 2022/07/27 11:16:13 - mmengine - INFO - Epoch(train) [44][260/3757] lr: 8.6568e-03 eta: 2 days, 8:15:00 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 5.5632 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7047 loss: 2.7047 2022/07/27 11:16:21 - mmengine - INFO - Epoch(train) [44][280/3757] lr: 8.6568e-03 eta: 2 days, 8:14:52 time: 0.3955 data_time: 0.0167 memory: 17007 grad_norm: 5.9420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5305 loss: 2.5305 2022/07/27 11:16:29 - mmengine - INFO - Epoch(train) [44][300/3757] lr: 8.6568e-03 eta: 2 days, 8:14:45 time: 0.4048 data_time: 0.0153 memory: 17007 grad_norm: 5.6701 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4760 loss: 2.4760 2022/07/27 11:16:37 - mmengine - INFO - Epoch(train) [44][320/3757] lr: 8.6568e-03 eta: 2 days, 8:14:37 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 5.8544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3245 loss: 2.3245 2022/07/27 11:16:45 - mmengine - INFO - Epoch(train) [44][340/3757] lr: 8.6568e-03 eta: 2 days, 8:14:29 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 5.8033 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5828 loss: 2.5828 2022/07/27 11:16:53 - mmengine - INFO - Epoch(train) [44][360/3757] lr: 8.6568e-03 eta: 2 days, 8:14:22 time: 0.3955 data_time: 0.0179 memory: 17007 grad_norm: 5.7933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4483 loss: 2.4483 2022/07/27 11:17:00 - mmengine - INFO - Epoch(train) [44][380/3757] lr: 8.6568e-03 eta: 2 days, 8:14:14 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 5.7411 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3550 loss: 2.3550 2022/07/27 11:17:08 - mmengine - INFO - Epoch(train) [44][400/3757] lr: 8.6568e-03 eta: 2 days, 8:14:06 time: 0.3948 data_time: 0.0187 memory: 17007 grad_norm: 5.7018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4018 loss: 2.4018 2022/07/27 11:17:16 - mmengine - INFO - Epoch(train) [44][420/3757] lr: 8.6568e-03 eta: 2 days, 8:13:58 time: 0.3904 data_time: 0.0143 memory: 17007 grad_norm: 5.6893 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7287 loss: 2.7287 2022/07/27 11:17:24 - mmengine - INFO - Epoch(train) [44][440/3757] lr: 8.6568e-03 eta: 2 days, 8:13:50 time: 0.3946 data_time: 0.0157 memory: 17007 grad_norm: 5.6914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4062 loss: 2.4062 2022/07/27 11:17:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:17:32 - mmengine - INFO - Epoch(train) [44][460/3757] lr: 8.6568e-03 eta: 2 days, 8:13:43 time: 0.3980 data_time: 0.0176 memory: 17007 grad_norm: 5.8575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4659 loss: 2.4659 2022/07/27 11:17:40 - mmengine - INFO - Epoch(train) [44][480/3757] lr: 8.6568e-03 eta: 2 days, 8:13:35 time: 0.3936 data_time: 0.0167 memory: 17007 grad_norm: 5.8063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5098 loss: 2.5098 2022/07/27 11:17:48 - mmengine - INFO - Epoch(train) [44][500/3757] lr: 8.6568e-03 eta: 2 days, 8:13:27 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 5.7345 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5200 loss: 2.5200 2022/07/27 11:17:56 - mmengine - INFO - Epoch(train) [44][520/3757] lr: 8.6568e-03 eta: 2 days, 8:13:20 time: 0.4059 data_time: 0.0169 memory: 17007 grad_norm: 5.7163 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1821 loss: 2.1821 2022/07/27 11:18:04 - mmengine - INFO - Epoch(train) [44][540/3757] lr: 8.6568e-03 eta: 2 days, 8:13:12 time: 0.3926 data_time: 0.0140 memory: 17007 grad_norm: 5.9499 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5799 loss: 2.5799 2022/07/27 11:18:12 - mmengine - INFO - Epoch(train) [44][560/3757] lr: 8.6568e-03 eta: 2 days, 8:13:04 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.8792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5696 loss: 2.5696 2022/07/27 11:18:20 - mmengine - INFO - Epoch(train) [44][580/3757] lr: 8.6568e-03 eta: 2 days, 8:12:56 time: 0.3916 data_time: 0.0142 memory: 17007 grad_norm: 5.6569 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4419 loss: 2.4419 2022/07/27 11:18:27 - mmengine - INFO - Epoch(train) [44][600/3757] lr: 8.6568e-03 eta: 2 days, 8:12:48 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 5.4613 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4000 loss: 2.4000 2022/07/27 11:18:35 - mmengine - INFO - Epoch(train) [44][620/3757] lr: 8.6568e-03 eta: 2 days, 8:12:40 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 5.5869 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4747 loss: 2.4747 2022/07/27 11:18:43 - mmengine - INFO - Epoch(train) [44][640/3757] lr: 8.6568e-03 eta: 2 days, 8:12:32 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 5.5004 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6579 loss: 2.6579 2022/07/27 11:18:51 - mmengine - INFO - Epoch(train) [44][660/3757] lr: 8.6568e-03 eta: 2 days, 8:12:24 time: 0.3940 data_time: 0.0165 memory: 17007 grad_norm: 5.8784 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3575 loss: 2.3575 2022/07/27 11:18:59 - mmengine - INFO - Epoch(train) [44][680/3757] lr: 8.6568e-03 eta: 2 days, 8:12:17 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 5.8615 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4657 loss: 2.4657 2022/07/27 11:19:07 - mmengine - INFO - Epoch(train) [44][700/3757] lr: 8.6568e-03 eta: 2 days, 8:12:09 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 5.7412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3225 loss: 2.3225 2022/07/27 11:19:15 - mmengine - INFO - Epoch(train) [44][720/3757] lr: 8.6568e-03 eta: 2 days, 8:12:01 time: 0.3964 data_time: 0.0163 memory: 17007 grad_norm: 6.1172 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5279 loss: 2.5279 2022/07/27 11:19:23 - mmengine - INFO - Epoch(train) [44][740/3757] lr: 8.6568e-03 eta: 2 days, 8:11:53 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 5.8319 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6542 loss: 2.6542 2022/07/27 11:19:30 - mmengine - INFO - Epoch(train) [44][760/3757] lr: 8.6568e-03 eta: 2 days, 8:11:45 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.7911 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5501 loss: 2.5501 2022/07/27 11:19:38 - mmengine - INFO - Epoch(train) [44][780/3757] lr: 8.6568e-03 eta: 2 days, 8:11:37 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 5.7220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5346 loss: 2.5346 2022/07/27 11:19:46 - mmengine - INFO - Epoch(train) [44][800/3757] lr: 8.6568e-03 eta: 2 days, 8:11:29 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 5.5035 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5205 loss: 2.5205 2022/07/27 11:19:54 - mmengine - INFO - Epoch(train) [44][820/3757] lr: 8.6568e-03 eta: 2 days, 8:11:22 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 5.6672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2559 loss: 2.2559 2022/07/27 11:20:02 - mmengine - INFO - Epoch(train) [44][840/3757] lr: 8.6568e-03 eta: 2 days, 8:11:14 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 5.9005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4944 loss: 2.4944 2022/07/27 11:20:10 - mmengine - INFO - Epoch(train) [44][860/3757] lr: 8.6568e-03 eta: 2 days, 8:11:06 time: 0.3960 data_time: 0.0167 memory: 17007 grad_norm: 5.9074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5791 loss: 2.5791 2022/07/27 11:20:18 - mmengine - INFO - Epoch(train) [44][880/3757] lr: 8.6568e-03 eta: 2 days, 8:10:58 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 5.9310 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3402 loss: 2.3402 2022/07/27 11:20:26 - mmengine - INFO - Epoch(train) [44][900/3757] lr: 8.6568e-03 eta: 2 days, 8:10:50 time: 0.3944 data_time: 0.0167 memory: 17007 grad_norm: 5.9337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1795 loss: 2.1795 2022/07/27 11:20:34 - mmengine - INFO - Epoch(train) [44][920/3757] lr: 8.6568e-03 eta: 2 days, 8:10:43 time: 0.4004 data_time: 0.0159 memory: 17007 grad_norm: 5.8424 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3266 loss: 2.3266 2022/07/27 11:20:42 - mmengine - INFO - Epoch(train) [44][940/3757] lr: 8.6568e-03 eta: 2 days, 8:10:35 time: 0.3950 data_time: 0.0166 memory: 17007 grad_norm: 5.7344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5169 loss: 2.5169 2022/07/27 11:20:49 - mmengine - INFO - Epoch(train) [44][960/3757] lr: 8.6568e-03 eta: 2 days, 8:10:27 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 5.8545 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5215 loss: 2.5215 2022/07/27 11:20:57 - mmengine - INFO - Epoch(train) [44][980/3757] lr: 8.6568e-03 eta: 2 days, 8:10:19 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 5.8377 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3388 loss: 2.3388 2022/07/27 11:21:06 - mmengine - INFO - Epoch(train) [44][1000/3757] lr: 8.6568e-03 eta: 2 days, 8:10:13 time: 0.4162 data_time: 0.0157 memory: 17007 grad_norm: 5.8749 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6745 loss: 2.6745 2022/07/27 11:21:13 - mmengine - INFO - Epoch(train) [44][1020/3757] lr: 8.6568e-03 eta: 2 days, 8:10:05 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 5.7160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4228 loss: 2.4228 2022/07/27 11:21:22 - mmengine - INFO - Epoch(train) [44][1040/3757] lr: 8.6568e-03 eta: 2 days, 8:09:58 time: 0.4051 data_time: 0.0167 memory: 17007 grad_norm: 5.6053 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2438 loss: 2.2438 2022/07/27 11:21:29 - mmengine - INFO - Epoch(train) [44][1060/3757] lr: 8.6568e-03 eta: 2 days, 8:09:50 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 5.7197 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2827 loss: 2.2827 2022/07/27 11:21:37 - mmengine - INFO - Epoch(train) [44][1080/3757] lr: 8.6568e-03 eta: 2 days, 8:09:42 time: 0.3915 data_time: 0.0143 memory: 17007 grad_norm: 5.8843 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5216 loss: 2.5216 2022/07/27 11:21:45 - mmengine - INFO - Epoch(train) [44][1100/3757] lr: 8.6568e-03 eta: 2 days, 8:09:34 time: 0.3986 data_time: 0.0168 memory: 17007 grad_norm: 5.9337 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6239 loss: 2.6239 2022/07/27 11:21:53 - mmengine - INFO - Epoch(train) [44][1120/3757] lr: 8.6568e-03 eta: 2 days, 8:09:26 time: 0.3931 data_time: 0.0162 memory: 17007 grad_norm: 5.7901 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4540 loss: 2.4540 2022/07/27 11:22:01 - mmengine - INFO - Epoch(train) [44][1140/3757] lr: 8.6568e-03 eta: 2 days, 8:09:18 time: 0.3952 data_time: 0.0170 memory: 17007 grad_norm: 5.8504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7566 loss: 2.7566 2022/07/27 11:22:09 - mmengine - INFO - Epoch(train) [44][1160/3757] lr: 8.6568e-03 eta: 2 days, 8:09:11 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 5.7899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8069 loss: 2.8069 2022/07/27 11:22:17 - mmengine - INFO - Epoch(train) [44][1180/3757] lr: 8.6568e-03 eta: 2 days, 8:09:03 time: 0.3932 data_time: 0.0164 memory: 17007 grad_norm: 5.7270 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4179 loss: 2.4179 2022/07/27 11:22:25 - mmengine - INFO - Epoch(train) [44][1200/3757] lr: 8.6568e-03 eta: 2 days, 8:08:55 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 5.6024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6170 loss: 2.6170 2022/07/27 11:22:33 - mmengine - INFO - Epoch(train) [44][1220/3757] lr: 8.6568e-03 eta: 2 days, 8:08:47 time: 0.3960 data_time: 0.0163 memory: 17007 grad_norm: 5.7992 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5616 loss: 2.5616 2022/07/27 11:22:40 - mmengine - INFO - Epoch(train) [44][1240/3757] lr: 8.6568e-03 eta: 2 days, 8:08:39 time: 0.3945 data_time: 0.0172 memory: 17007 grad_norm: 5.6951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3096 loss: 2.3096 2022/07/27 11:22:48 - mmengine - INFO - Epoch(train) [44][1260/3757] lr: 8.6568e-03 eta: 2 days, 8:08:31 time: 0.3919 data_time: 0.0143 memory: 17007 grad_norm: 5.7366 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4533 loss: 2.4533 2022/07/27 11:22:56 - mmengine - INFO - Epoch(train) [44][1280/3757] lr: 8.6568e-03 eta: 2 days, 8:08:23 time: 0.3953 data_time: 0.0172 memory: 17007 grad_norm: 5.9629 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7334 loss: 2.7334 2022/07/27 11:23:04 - mmengine - INFO - Epoch(train) [44][1300/3757] lr: 8.6568e-03 eta: 2 days, 8:08:16 time: 0.3943 data_time: 0.0168 memory: 17007 grad_norm: 5.8218 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5629 loss: 2.5629 2022/07/27 11:23:12 - mmengine - INFO - Epoch(train) [44][1320/3757] lr: 8.6568e-03 eta: 2 days, 8:08:08 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 5.7483 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4443 loss: 2.4443 2022/07/27 11:23:20 - mmengine - INFO - Epoch(train) [44][1340/3757] lr: 8.6568e-03 eta: 2 days, 8:08:00 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 5.7453 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5542 loss: 2.5542 2022/07/27 11:23:28 - mmengine - INFO - Epoch(train) [44][1360/3757] lr: 8.6568e-03 eta: 2 days, 8:07:52 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 5.7594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5965 loss: 2.5965 2022/07/27 11:23:36 - mmengine - INFO - Epoch(train) [44][1380/3757] lr: 8.6568e-03 eta: 2 days, 8:07:45 time: 0.4082 data_time: 0.0158 memory: 17007 grad_norm: 5.7795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6355 loss: 2.6355 2022/07/27 11:23:44 - mmengine - INFO - Epoch(train) [44][1400/3757] lr: 8.6568e-03 eta: 2 days, 8:07:37 time: 0.3991 data_time: 0.0168 memory: 17007 grad_norm: 5.8012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1797 loss: 2.1797 2022/07/27 11:23:52 - mmengine - INFO - Epoch(train) [44][1420/3757] lr: 8.6568e-03 eta: 2 days, 8:07:29 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 5.7079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1359 loss: 2.1359 2022/07/27 11:24:00 - mmengine - INFO - Epoch(train) [44][1440/3757] lr: 8.6568e-03 eta: 2 days, 8:07:22 time: 0.3956 data_time: 0.0177 memory: 17007 grad_norm: 5.7807 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6106 loss: 2.6106 2022/07/27 11:24:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:24:07 - mmengine - INFO - Epoch(train) [44][1460/3757] lr: 8.6568e-03 eta: 2 days, 8:07:14 time: 0.3920 data_time: 0.0140 memory: 17007 grad_norm: 5.9473 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5370 loss: 2.5370 2022/07/27 11:24:15 - mmengine - INFO - Epoch(train) [44][1480/3757] lr: 8.6568e-03 eta: 2 days, 8:07:06 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.9601 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5323 loss: 2.5323 2022/07/27 11:24:23 - mmengine - INFO - Epoch(train) [44][1500/3757] lr: 8.6568e-03 eta: 2 days, 8:06:58 time: 0.3997 data_time: 0.0165 memory: 17007 grad_norm: 5.7932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5383 loss: 2.5383 2022/07/27 11:24:31 - mmengine - INFO - Epoch(train) [44][1520/3757] lr: 8.6568e-03 eta: 2 days, 8:06:50 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.7797 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1097 loss: 2.1097 2022/07/27 11:24:39 - mmengine - INFO - Epoch(train) [44][1540/3757] lr: 8.6568e-03 eta: 2 days, 8:06:42 time: 0.3928 data_time: 0.0142 memory: 17007 grad_norm: 5.9135 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4004 loss: 2.4004 2022/07/27 11:24:47 - mmengine - INFO - Epoch(train) [44][1560/3757] lr: 8.6568e-03 eta: 2 days, 8:06:35 time: 0.3942 data_time: 0.0168 memory: 17007 grad_norm: 5.7229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1805 loss: 2.1805 2022/07/27 11:24:55 - mmengine - INFO - Epoch(train) [44][1580/3757] lr: 8.6568e-03 eta: 2 days, 8:06:27 time: 0.3910 data_time: 0.0148 memory: 17007 grad_norm: 5.8441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2515 loss: 2.2515 2022/07/27 11:25:03 - mmengine - INFO - Epoch(train) [44][1600/3757] lr: 8.6568e-03 eta: 2 days, 8:06:20 time: 0.4080 data_time: 0.0169 memory: 17007 grad_norm: 5.8624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3594 loss: 2.3594 2022/07/27 11:25:11 - mmengine - INFO - Epoch(train) [44][1620/3757] lr: 8.6568e-03 eta: 2 days, 8:06:12 time: 0.3956 data_time: 0.0166 memory: 17007 grad_norm: 5.7383 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6311 loss: 2.6311 2022/07/27 11:25:19 - mmengine - INFO - Epoch(train) [44][1640/3757] lr: 8.6568e-03 eta: 2 days, 8:06:04 time: 0.3938 data_time: 0.0176 memory: 17007 grad_norm: 5.7998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4555 loss: 2.4555 2022/07/27 11:25:27 - mmengine - INFO - Epoch(train) [44][1660/3757] lr: 8.6568e-03 eta: 2 days, 8:05:56 time: 0.3922 data_time: 0.0148 memory: 17007 grad_norm: 5.7089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6072 loss: 2.6072 2022/07/27 11:25:34 - mmengine - INFO - Epoch(train) [44][1680/3757] lr: 8.6568e-03 eta: 2 days, 8:05:48 time: 0.3954 data_time: 0.0170 memory: 17007 grad_norm: 5.7610 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2390 loss: 2.2390 2022/07/27 11:25:42 - mmengine - INFO - Epoch(train) [44][1700/3757] lr: 8.6568e-03 eta: 2 days, 8:05:40 time: 0.3921 data_time: 0.0148 memory: 17007 grad_norm: 5.7736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2543 loss: 2.2543 2022/07/27 11:25:50 - mmengine - INFO - Epoch(train) [44][1720/3757] lr: 8.6568e-03 eta: 2 days, 8:05:33 time: 0.3979 data_time: 0.0169 memory: 17007 grad_norm: 5.9963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4797 loss: 2.4797 2022/07/27 11:25:58 - mmengine - INFO - Epoch(train) [44][1740/3757] lr: 8.6568e-03 eta: 2 days, 8:05:25 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 5.9061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3522 loss: 2.3522 2022/07/27 11:26:06 - mmengine - INFO - Epoch(train) [44][1760/3757] lr: 8.6568e-03 eta: 2 days, 8:05:17 time: 0.3937 data_time: 0.0156 memory: 17007 grad_norm: 5.8114 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2763 loss: 2.2763 2022/07/27 11:26:14 - mmengine - INFO - Epoch(train) [44][1780/3757] lr: 8.6568e-03 eta: 2 days, 8:05:09 time: 0.3933 data_time: 0.0163 memory: 17007 grad_norm: 5.8458 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2944 loss: 2.2944 2022/07/27 11:26:22 - mmengine - INFO - Epoch(train) [44][1800/3757] lr: 8.6568e-03 eta: 2 days, 8:05:01 time: 0.3940 data_time: 0.0163 memory: 17007 grad_norm: 5.8846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5208 loss: 2.5208 2022/07/27 11:26:30 - mmengine - INFO - Epoch(train) [44][1820/3757] lr: 8.6568e-03 eta: 2 days, 8:04:53 time: 0.3940 data_time: 0.0164 memory: 17007 grad_norm: 5.7161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2371 loss: 2.2371 2022/07/27 11:26:38 - mmengine - INFO - Epoch(train) [44][1840/3757] lr: 8.6568e-03 eta: 2 days, 8:04:46 time: 0.3962 data_time: 0.0181 memory: 17007 grad_norm: 5.7850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3548 loss: 2.3548 2022/07/27 11:26:45 - mmengine - INFO - Epoch(train) [44][1860/3757] lr: 8.6568e-03 eta: 2 days, 8:04:38 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 5.6726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5311 loss: 2.5311 2022/07/27 11:26:53 - mmengine - INFO - Epoch(train) [44][1880/3757] lr: 8.6568e-03 eta: 2 days, 8:04:30 time: 0.3971 data_time: 0.0186 memory: 17007 grad_norm: 6.1107 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0232 loss: 3.0232 2022/07/27 11:27:01 - mmengine - INFO - Epoch(train) [44][1900/3757] lr: 8.6568e-03 eta: 2 days, 8:04:22 time: 0.3940 data_time: 0.0144 memory: 17007 grad_norm: 5.7646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2223 loss: 2.2223 2022/07/27 11:27:09 - mmengine - INFO - Epoch(train) [44][1920/3757] lr: 8.6568e-03 eta: 2 days, 8:04:14 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 5.8811 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1453 loss: 2.1453 2022/07/27 11:27:17 - mmengine - INFO - Epoch(train) [44][1940/3757] lr: 8.6568e-03 eta: 2 days, 8:04:06 time: 0.3934 data_time: 0.0147 memory: 17007 grad_norm: 5.9605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2696 loss: 2.2696 2022/07/27 11:27:25 - mmengine - INFO - Epoch(train) [44][1960/3757] lr: 8.6568e-03 eta: 2 days, 8:03:58 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 5.8764 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4744 loss: 2.4744 2022/07/27 11:27:33 - mmengine - INFO - Epoch(train) [44][1980/3757] lr: 8.6568e-03 eta: 2 days, 8:03:51 time: 0.3957 data_time: 0.0152 memory: 17007 grad_norm: 5.7106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1215 loss: 2.1215 2022/07/27 11:27:41 - mmengine - INFO - Epoch(train) [44][2000/3757] lr: 8.6568e-03 eta: 2 days, 8:03:44 time: 0.4102 data_time: 0.0177 memory: 17007 grad_norm: 5.8245 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8308 loss: 2.8308 2022/07/27 11:27:49 - mmengine - INFO - Epoch(train) [44][2020/3757] lr: 8.6568e-03 eta: 2 days, 8:03:36 time: 0.3916 data_time: 0.0154 memory: 17007 grad_norm: 5.5640 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1677 loss: 2.1677 2022/07/27 11:27:57 - mmengine - INFO - Epoch(train) [44][2040/3757] lr: 8.6568e-03 eta: 2 days, 8:03:28 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 5.9352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6187 loss: 2.6187 2022/07/27 11:28:05 - mmengine - INFO - Epoch(train) [44][2060/3757] lr: 8.6568e-03 eta: 2 days, 8:03:21 time: 0.4054 data_time: 0.0192 memory: 17007 grad_norm: 5.8061 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5868 loss: 2.5868 2022/07/27 11:28:13 - mmengine - INFO - Epoch(train) [44][2080/3757] lr: 8.6568e-03 eta: 2 days, 8:03:13 time: 0.3935 data_time: 0.0183 memory: 17007 grad_norm: 6.1234 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4610 loss: 2.4610 2022/07/27 11:28:21 - mmengine - INFO - Epoch(train) [44][2100/3757] lr: 8.6568e-03 eta: 2 days, 8:03:05 time: 0.3945 data_time: 0.0194 memory: 17007 grad_norm: 5.7381 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4174 loss: 2.4174 2022/07/27 11:28:28 - mmengine - INFO - Epoch(train) [44][2120/3757] lr: 8.6568e-03 eta: 2 days, 8:02:57 time: 0.3917 data_time: 0.0158 memory: 17007 grad_norm: 5.9346 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3999 loss: 2.3999 2022/07/27 11:28:36 - mmengine - INFO - Epoch(train) [44][2140/3757] lr: 8.6568e-03 eta: 2 days, 8:02:49 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 5.6116 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5637 loss: 2.5637 2022/07/27 11:28:44 - mmengine - INFO - Epoch(train) [44][2160/3757] lr: 8.6568e-03 eta: 2 days, 8:02:42 time: 0.3965 data_time: 0.0175 memory: 17007 grad_norm: 6.2875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4055 loss: 2.4055 2022/07/27 11:28:52 - mmengine - INFO - Epoch(train) [44][2180/3757] lr: 8.6568e-03 eta: 2 days, 8:02:34 time: 0.3966 data_time: 0.0176 memory: 17007 grad_norm: 5.8032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7476 loss: 2.7476 2022/07/27 11:29:00 - mmengine - INFO - Epoch(train) [44][2200/3757] lr: 8.6568e-03 eta: 2 days, 8:02:26 time: 0.3942 data_time: 0.0170 memory: 17007 grad_norm: 5.7374 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7685 loss: 2.7685 2022/07/27 11:29:08 - mmengine - INFO - Epoch(train) [44][2220/3757] lr: 8.6568e-03 eta: 2 days, 8:02:18 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 5.7985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5849 loss: 2.5849 2022/07/27 11:29:16 - mmengine - INFO - Epoch(train) [44][2240/3757] lr: 8.6568e-03 eta: 2 days, 8:02:10 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 5.8949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2460 loss: 2.2460 2022/07/27 11:29:24 - mmengine - INFO - Epoch(train) [44][2260/3757] lr: 8.6568e-03 eta: 2 days, 8:02:03 time: 0.4037 data_time: 0.0176 memory: 17007 grad_norm: 5.7911 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4886 loss: 2.4886 2022/07/27 11:29:32 - mmengine - INFO - Epoch(train) [44][2280/3757] lr: 8.6568e-03 eta: 2 days, 8:01:55 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 5.9336 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2673 loss: 2.2673 2022/07/27 11:29:40 - mmengine - INFO - Epoch(train) [44][2300/3757] lr: 8.6568e-03 eta: 2 days, 8:01:48 time: 0.4040 data_time: 0.0160 memory: 17007 grad_norm: 5.7680 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4976 loss: 2.4976 2022/07/27 11:29:48 - mmengine - INFO - Epoch(train) [44][2320/3757] lr: 8.6568e-03 eta: 2 days, 8:01:40 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 5.9159 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5074 loss: 2.5074 2022/07/27 11:29:56 - mmengine - INFO - Epoch(train) [44][2340/3757] lr: 8.6568e-03 eta: 2 days, 8:01:32 time: 0.3925 data_time: 0.0139 memory: 17007 grad_norm: 6.0814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5287 loss: 2.5287 2022/07/27 11:30:03 - mmengine - INFO - Epoch(train) [44][2360/3757] lr: 8.6568e-03 eta: 2 days, 8:01:24 time: 0.3954 data_time: 0.0184 memory: 17007 grad_norm: 5.9681 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4387 loss: 2.4387 2022/07/27 11:30:11 - mmengine - INFO - Epoch(train) [44][2380/3757] lr: 8.6568e-03 eta: 2 days, 8:01:17 time: 0.3968 data_time: 0.0159 memory: 17007 grad_norm: 6.1094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5507 loss: 2.5507 2022/07/27 11:30:19 - mmengine - INFO - Epoch(train) [44][2400/3757] lr: 8.6568e-03 eta: 2 days, 8:01:09 time: 0.3926 data_time: 0.0159 memory: 17007 grad_norm: 5.8563 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4628 loss: 2.4628 2022/07/27 11:30:27 - mmengine - INFO - Epoch(train) [44][2420/3757] lr: 8.6568e-03 eta: 2 days, 8:01:01 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 5.9140 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7100 loss: 2.7100 2022/07/27 11:30:35 - mmengine - INFO - Epoch(train) [44][2440/3757] lr: 8.6568e-03 eta: 2 days, 8:00:53 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 5.8387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3403 loss: 2.3403 2022/07/27 11:30:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:30:43 - mmengine - INFO - Epoch(train) [44][2460/3757] lr: 8.6568e-03 eta: 2 days, 8:00:45 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 6.0738 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2814 loss: 2.2814 2022/07/27 11:30:51 - mmengine - INFO - Epoch(train) [44][2480/3757] lr: 8.6568e-03 eta: 2 days, 8:00:37 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 5.9246 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6379 loss: 2.6379 2022/07/27 11:30:59 - mmengine - INFO - Epoch(train) [44][2500/3757] lr: 8.6568e-03 eta: 2 days, 8:00:29 time: 0.3914 data_time: 0.0150 memory: 17007 grad_norm: 5.7987 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4734 loss: 2.4734 2022/07/27 11:31:06 - mmengine - INFO - Epoch(train) [44][2520/3757] lr: 8.6568e-03 eta: 2 days, 8:00:21 time: 0.3943 data_time: 0.0165 memory: 17007 grad_norm: 5.9803 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4245 loss: 2.4245 2022/07/27 11:31:14 - mmengine - INFO - Epoch(train) [44][2540/3757] lr: 8.6568e-03 eta: 2 days, 8:00:13 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 5.7574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3307 loss: 2.3307 2022/07/27 11:31:22 - mmengine - INFO - Epoch(train) [44][2560/3757] lr: 8.6568e-03 eta: 2 days, 8:00:05 time: 0.3916 data_time: 0.0149 memory: 17007 grad_norm: 5.9933 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3133 loss: 2.3133 2022/07/27 11:31:30 - mmengine - INFO - Epoch(train) [44][2580/3757] lr: 8.6568e-03 eta: 2 days, 7:59:57 time: 0.3933 data_time: 0.0167 memory: 17007 grad_norm: 5.9930 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7880 loss: 2.7880 2022/07/27 11:31:38 - mmengine - INFO - Epoch(train) [44][2600/3757] lr: 8.6568e-03 eta: 2 days, 7:59:49 time: 0.3914 data_time: 0.0156 memory: 17007 grad_norm: 5.8115 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4340 loss: 2.4340 2022/07/27 11:31:46 - mmengine - INFO - Epoch(train) [44][2620/3757] lr: 8.6568e-03 eta: 2 days, 7:59:42 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 6.0388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6039 loss: 2.6039 2022/07/27 11:31:54 - mmengine - INFO - Epoch(train) [44][2640/3757] lr: 8.6568e-03 eta: 2 days, 7:59:34 time: 0.3966 data_time: 0.0173 memory: 17007 grad_norm: 5.8612 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6824 loss: 2.6824 2022/07/27 11:32:02 - mmengine - INFO - Epoch(train) [44][2660/3757] lr: 8.6568e-03 eta: 2 days, 7:59:26 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 5.7169 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5700 loss: 2.5700 2022/07/27 11:32:09 - mmengine - INFO - Epoch(train) [44][2680/3757] lr: 8.6568e-03 eta: 2 days, 7:59:18 time: 0.3955 data_time: 0.0164 memory: 17007 grad_norm: 5.8229 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4689 loss: 2.4689 2022/07/27 11:32:17 - mmengine - INFO - Epoch(train) [44][2700/3757] lr: 8.6568e-03 eta: 2 days, 7:59:10 time: 0.3913 data_time: 0.0138 memory: 17007 grad_norm: 5.6470 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5459 loss: 2.5459 2022/07/27 11:32:25 - mmengine - INFO - Epoch(train) [44][2720/3757] lr: 8.6568e-03 eta: 2 days, 7:59:02 time: 0.3915 data_time: 0.0151 memory: 17007 grad_norm: 5.6848 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4024 loss: 2.4024 2022/07/27 11:32:33 - mmengine - INFO - Epoch(train) [44][2740/3757] lr: 8.6568e-03 eta: 2 days, 7:58:54 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 5.8503 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5557 loss: 2.5557 2022/07/27 11:32:41 - mmengine - INFO - Epoch(train) [44][2760/3757] lr: 8.6568e-03 eta: 2 days, 7:58:47 time: 0.4063 data_time: 0.0169 memory: 17007 grad_norm: 5.8315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7152 loss: 2.7152 2022/07/27 11:32:49 - mmengine - INFO - Epoch(train) [44][2780/3757] lr: 8.6568e-03 eta: 2 days, 7:58:39 time: 0.3923 data_time: 0.0144 memory: 17007 grad_norm: 5.8769 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3533 loss: 2.3533 2022/07/27 11:32:57 - mmengine - INFO - Epoch(train) [44][2800/3757] lr: 8.6568e-03 eta: 2 days, 7:58:31 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 5.9761 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8932 loss: 2.8932 2022/07/27 11:33:05 - mmengine - INFO - Epoch(train) [44][2820/3757] lr: 8.6568e-03 eta: 2 days, 7:58:23 time: 0.3920 data_time: 0.0153 memory: 17007 grad_norm: 5.8874 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5753 loss: 2.5753 2022/07/27 11:33:13 - mmengine - INFO - Epoch(train) [44][2840/3757] lr: 8.6568e-03 eta: 2 days, 7:58:16 time: 0.3937 data_time: 0.0151 memory: 17007 grad_norm: 6.0932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4360 loss: 2.4360 2022/07/27 11:33:20 - mmengine - INFO - Epoch(train) [44][2860/3757] lr: 8.6568e-03 eta: 2 days, 7:58:08 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 5.7880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3157 loss: 2.3157 2022/07/27 11:33:28 - mmengine - INFO - Epoch(train) [44][2880/3757] lr: 8.6568e-03 eta: 2 days, 7:58:00 time: 0.3914 data_time: 0.0151 memory: 17007 grad_norm: 5.5851 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2574 loss: 2.2574 2022/07/27 11:33:36 - mmengine - INFO - Epoch(train) [44][2900/3757] lr: 8.6568e-03 eta: 2 days, 7:57:52 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 5.7687 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3665 loss: 2.3665 2022/07/27 11:33:44 - mmengine - INFO - Epoch(train) [44][2920/3757] lr: 8.6568e-03 eta: 2 days, 7:57:44 time: 0.3955 data_time: 0.0150 memory: 17007 grad_norm: 5.9401 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3568 loss: 2.3568 2022/07/27 11:33:52 - mmengine - INFO - Epoch(train) [44][2940/3757] lr: 8.6568e-03 eta: 2 days, 7:57:36 time: 0.3912 data_time: 0.0144 memory: 17007 grad_norm: 5.8336 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2779 loss: 2.2779 2022/07/27 11:34:00 - mmengine - INFO - Epoch(train) [44][2960/3757] lr: 8.6568e-03 eta: 2 days, 7:57:28 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 5.8577 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8432 loss: 2.8432 2022/07/27 11:34:08 - mmengine - INFO - Epoch(train) [44][2980/3757] lr: 8.6568e-03 eta: 2 days, 7:57:20 time: 0.3910 data_time: 0.0133 memory: 17007 grad_norm: 5.7121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2762 loss: 2.2762 2022/07/27 11:34:16 - mmengine - INFO - Epoch(train) [44][3000/3757] lr: 8.6568e-03 eta: 2 days, 7:57:12 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 5.8068 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0545 loss: 2.0545 2022/07/27 11:34:23 - mmengine - INFO - Epoch(train) [44][3020/3757] lr: 8.6568e-03 eta: 2 days, 7:57:05 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 5.7916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4319 loss: 2.4319 2022/07/27 11:34:31 - mmengine - INFO - Epoch(train) [44][3040/3757] lr: 8.6568e-03 eta: 2 days, 7:56:57 time: 0.3942 data_time: 0.0180 memory: 17007 grad_norm: 6.0630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5048 loss: 2.5048 2022/07/27 11:34:39 - mmengine - INFO - Epoch(train) [44][3060/3757] lr: 8.6568e-03 eta: 2 days, 7:56:49 time: 0.3917 data_time: 0.0150 memory: 17007 grad_norm: 5.8921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5956 loss: 2.5956 2022/07/27 11:34:47 - mmengine - INFO - Epoch(train) [44][3080/3757] lr: 8.6568e-03 eta: 2 days, 7:56:41 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 5.9799 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4614 loss: 2.4614 2022/07/27 11:34:55 - mmengine - INFO - Epoch(train) [44][3100/3757] lr: 8.6568e-03 eta: 2 days, 7:56:33 time: 0.3943 data_time: 0.0170 memory: 17007 grad_norm: 5.7819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5525 loss: 2.5525 2022/07/27 11:35:03 - mmengine - INFO - Epoch(train) [44][3120/3757] lr: 8.6568e-03 eta: 2 days, 7:56:25 time: 0.3976 data_time: 0.0154 memory: 17007 grad_norm: 5.7404 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3021 loss: 2.3021 2022/07/27 11:35:11 - mmengine - INFO - Epoch(train) [44][3140/3757] lr: 8.6568e-03 eta: 2 days, 7:56:18 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 5.8824 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8209 loss: 2.8209 2022/07/27 11:35:19 - mmengine - INFO - Epoch(train) [44][3160/3757] lr: 8.6568e-03 eta: 2 days, 7:56:10 time: 0.3916 data_time: 0.0144 memory: 17007 grad_norm: 5.7815 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5570 loss: 2.5570 2022/07/27 11:35:26 - mmengine - INFO - Epoch(train) [44][3180/3757] lr: 8.6568e-03 eta: 2 days, 7:56:02 time: 0.3917 data_time: 0.0151 memory: 17007 grad_norm: 5.7154 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5737 loss: 2.5737 2022/07/27 11:35:34 - mmengine - INFO - Epoch(train) [44][3200/3757] lr: 8.6568e-03 eta: 2 days, 7:55:54 time: 0.3978 data_time: 0.0168 memory: 17007 grad_norm: 5.8222 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3907 loss: 2.3907 2022/07/27 11:35:42 - mmengine - INFO - Epoch(train) [44][3220/3757] lr: 8.6568e-03 eta: 2 days, 7:55:46 time: 0.3908 data_time: 0.0146 memory: 17007 grad_norm: 6.0004 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2954 loss: 2.2954 2022/07/27 11:35:50 - mmengine - INFO - Epoch(train) [44][3240/3757] lr: 8.6568e-03 eta: 2 days, 7:55:38 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 5.7899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6275 loss: 2.6275 2022/07/27 11:35:58 - mmengine - INFO - Epoch(train) [44][3260/3757] lr: 8.6568e-03 eta: 2 days, 7:55:30 time: 0.3916 data_time: 0.0138 memory: 17007 grad_norm: 5.9517 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3788 loss: 2.3788 2022/07/27 11:36:06 - mmengine - INFO - Epoch(train) [44][3280/3757] lr: 8.6568e-03 eta: 2 days, 7:55:22 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 5.7512 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5612 loss: 2.5612 2022/07/27 11:36:14 - mmengine - INFO - Epoch(train) [44][3300/3757] lr: 8.6568e-03 eta: 2 days, 7:55:14 time: 0.3960 data_time: 0.0164 memory: 17007 grad_norm: 5.7292 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7311 loss: 2.7311 2022/07/27 11:36:22 - mmengine - INFO - Epoch(train) [44][3320/3757] lr: 8.6568e-03 eta: 2 days, 7:55:06 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 5.7551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4935 loss: 2.4935 2022/07/27 11:36:29 - mmengine - INFO - Epoch(train) [44][3340/3757] lr: 8.6568e-03 eta: 2 days, 7:54:59 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 5.7397 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4494 loss: 2.4494 2022/07/27 11:36:37 - mmengine - INFO - Epoch(train) [44][3360/3757] lr: 8.6568e-03 eta: 2 days, 7:54:51 time: 0.3984 data_time: 0.0163 memory: 17007 grad_norm: 5.8483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5596 loss: 2.5596 2022/07/27 11:36:45 - mmengine - INFO - Epoch(train) [44][3380/3757] lr: 8.6568e-03 eta: 2 days, 7:54:43 time: 0.3918 data_time: 0.0149 memory: 17007 grad_norm: 5.6702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4313 loss: 2.4313 2022/07/27 11:36:53 - mmengine - INFO - Epoch(train) [44][3400/3757] lr: 8.6568e-03 eta: 2 days, 7:54:35 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 5.8808 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3987 loss: 2.3987 2022/07/27 11:37:01 - mmengine - INFO - Epoch(train) [44][3420/3757] lr: 8.6568e-03 eta: 2 days, 7:54:27 time: 0.3925 data_time: 0.0150 memory: 17007 grad_norm: 5.8980 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6336 loss: 2.6336 2022/07/27 11:37:09 - mmengine - INFO - Epoch(train) [44][3440/3757] lr: 8.6568e-03 eta: 2 days, 7:54:19 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 5.6301 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5105 loss: 2.5105 2022/07/27 11:37:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:37:17 - mmengine - INFO - Epoch(train) [44][3460/3757] lr: 8.6568e-03 eta: 2 days, 7:54:12 time: 0.4007 data_time: 0.0161 memory: 17007 grad_norm: 5.8100 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2231 loss: 2.2231 2022/07/27 11:37:25 - mmengine - INFO - Epoch(train) [44][3480/3757] lr: 8.6568e-03 eta: 2 days, 7:54:04 time: 0.3901 data_time: 0.0152 memory: 17007 grad_norm: 6.0205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7847 loss: 2.7847 2022/07/27 11:37:33 - mmengine - INFO - Epoch(train) [44][3500/3757] lr: 8.6568e-03 eta: 2 days, 7:53:56 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 5.8401 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5057 loss: 2.5057 2022/07/27 11:37:40 - mmengine - INFO - Epoch(train) [44][3520/3757] lr: 8.6568e-03 eta: 2 days, 7:53:48 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 5.8411 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4188 loss: 2.4188 2022/07/27 11:37:48 - mmengine - INFO - Epoch(train) [44][3540/3757] lr: 8.6568e-03 eta: 2 days, 7:53:40 time: 0.3924 data_time: 0.0139 memory: 17007 grad_norm: 5.9189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2864 loss: 2.2864 2022/07/27 11:37:56 - mmengine - INFO - Epoch(train) [44][3560/3757] lr: 8.6568e-03 eta: 2 days, 7:53:32 time: 0.3965 data_time: 0.0173 memory: 17007 grad_norm: 5.6927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4256 loss: 2.4256 2022/07/27 11:38:04 - mmengine - INFO - Epoch(train) [44][3580/3757] lr: 8.6568e-03 eta: 2 days, 7:53:24 time: 0.3914 data_time: 0.0127 memory: 17007 grad_norm: 5.8127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6323 loss: 2.6323 2022/07/27 11:38:12 - mmengine - INFO - Epoch(train) [44][3600/3757] lr: 8.6568e-03 eta: 2 days, 7:53:17 time: 0.4040 data_time: 0.0168 memory: 17007 grad_norm: 5.5695 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3229 loss: 2.3229 2022/07/27 11:38:20 - mmengine - INFO - Epoch(train) [44][3620/3757] lr: 8.6568e-03 eta: 2 days, 7:53:09 time: 0.3919 data_time: 0.0152 memory: 17007 grad_norm: 5.9084 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4713 loss: 2.4713 2022/07/27 11:38:28 - mmengine - INFO - Epoch(train) [44][3640/3757] lr: 8.6568e-03 eta: 2 days, 7:53:01 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 5.9092 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2892 loss: 2.2892 2022/07/27 11:38:36 - mmengine - INFO - Epoch(train) [44][3660/3757] lr: 8.6568e-03 eta: 2 days, 7:52:53 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 6.0309 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5427 loss: 2.5427 2022/07/27 11:38:44 - mmengine - INFO - Epoch(train) [44][3680/3757] lr: 8.6568e-03 eta: 2 days, 7:52:45 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 5.6906 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2039 loss: 2.2039 2022/07/27 11:38:52 - mmengine - INFO - Epoch(train) [44][3700/3757] lr: 8.6568e-03 eta: 2 days, 7:52:39 time: 0.4105 data_time: 0.0141 memory: 17007 grad_norm: 5.7247 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5091 loss: 2.5091 2022/07/27 11:39:00 - mmengine - INFO - Epoch(train) [44][3720/3757] lr: 8.6568e-03 eta: 2 days, 7:52:31 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 5.8386 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4736 loss: 2.4736 2022/07/27 11:39:08 - mmengine - INFO - Epoch(train) [44][3740/3757] lr: 8.6568e-03 eta: 2 days, 7:52:23 time: 0.3913 data_time: 0.0139 memory: 17007 grad_norm: 5.7948 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5420 loss: 2.5420 2022/07/27 11:39:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:39:15 - mmengine - INFO - Epoch(train) [44][3757/3757] lr: 8.6568e-03 eta: 2 days, 7:52:23 time: 0.4252 data_time: 0.0169 memory: 17007 grad_norm: 5.6785 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.3812 loss: 2.3812 2022/07/27 11:39:15 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/07/27 11:39:25 - mmengine - INFO - Epoch(train) [45][20/3757] lr: 8.5967e-03 eta: 2 days, 7:51:50 time: 0.4351 data_time: 0.0585 memory: 17007 grad_norm: 6.1596 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1819 loss: 2.1819 2022/07/27 11:39:34 - mmengine - INFO - Epoch(train) [45][40/3757] lr: 8.5967e-03 eta: 2 days, 7:51:43 time: 0.4129 data_time: 0.0164 memory: 17007 grad_norm: 5.5819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4102 loss: 2.4102 2022/07/27 11:39:42 - mmengine - INFO - Epoch(train) [45][60/3757] lr: 8.5967e-03 eta: 2 days, 7:51:35 time: 0.3909 data_time: 0.0143 memory: 17007 grad_norm: 5.9026 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5464 loss: 2.5464 2022/07/27 11:39:49 - mmengine - INFO - Epoch(train) [45][80/3757] lr: 8.5967e-03 eta: 2 days, 7:51:27 time: 0.3911 data_time: 0.0150 memory: 17007 grad_norm: 5.7517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5702 loss: 2.5702 2022/07/27 11:39:57 - mmengine - INFO - Epoch(train) [45][100/3757] lr: 8.5967e-03 eta: 2 days, 7:51:20 time: 0.3971 data_time: 0.0153 memory: 17007 grad_norm: 5.8304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1887 loss: 2.1887 2022/07/27 11:40:05 - mmengine - INFO - Epoch(train) [45][120/3757] lr: 8.5967e-03 eta: 2 days, 7:51:12 time: 0.3926 data_time: 0.0155 memory: 17007 grad_norm: 5.8563 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1189 loss: 2.1189 2022/07/27 11:40:13 - mmengine - INFO - Epoch(train) [45][140/3757] lr: 8.5967e-03 eta: 2 days, 7:51:04 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 5.8345 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3166 loss: 2.3166 2022/07/27 11:40:21 - mmengine - INFO - Epoch(train) [45][160/3757] lr: 8.5967e-03 eta: 2 days, 7:50:56 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 5.8438 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4486 loss: 2.4486 2022/07/27 11:40:29 - mmengine - INFO - Epoch(train) [45][180/3757] lr: 8.5967e-03 eta: 2 days, 7:50:48 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 5.6969 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1857 loss: 2.1857 2022/07/27 11:40:37 - mmengine - INFO - Epoch(train) [45][200/3757] lr: 8.5967e-03 eta: 2 days, 7:50:40 time: 0.3969 data_time: 0.0151 memory: 17007 grad_norm: 5.9040 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5684 loss: 2.5684 2022/07/27 11:40:45 - mmengine - INFO - Epoch(train) [45][220/3757] lr: 8.5967e-03 eta: 2 days, 7:50:32 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 5.8226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5528 loss: 2.5528 2022/07/27 11:40:52 - mmengine - INFO - Epoch(train) [45][240/3757] lr: 8.5967e-03 eta: 2 days, 7:50:24 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 5.7188 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1100 loss: 2.1100 2022/07/27 11:41:00 - mmengine - INFO - Epoch(train) [45][260/3757] lr: 8.5967e-03 eta: 2 days, 7:50:16 time: 0.3910 data_time: 0.0140 memory: 17007 grad_norm: 5.8201 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0215 loss: 2.0215 2022/07/27 11:41:08 - mmengine - INFO - Epoch(train) [45][280/3757] lr: 8.5967e-03 eta: 2 days, 7:50:08 time: 0.3919 data_time: 0.0150 memory: 17007 grad_norm: 5.6957 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2219 loss: 2.2219 2022/07/27 11:41:16 - mmengine - INFO - Epoch(train) [45][300/3757] lr: 8.5967e-03 eta: 2 days, 7:50:01 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 5.6484 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7289 loss: 2.7289 2022/07/27 11:41:24 - mmengine - INFO - Epoch(train) [45][320/3757] lr: 8.5967e-03 eta: 2 days, 7:49:53 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 5.6982 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3672 loss: 2.3672 2022/07/27 11:41:32 - mmengine - INFO - Epoch(train) [45][340/3757] lr: 8.5967e-03 eta: 2 days, 7:49:45 time: 0.3989 data_time: 0.0171 memory: 17007 grad_norm: 6.4306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3664 loss: 2.3664 2022/07/27 11:41:40 - mmengine - INFO - Epoch(train) [45][360/3757] lr: 8.5967e-03 eta: 2 days, 7:49:37 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 5.9104 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3654 loss: 2.3654 2022/07/27 11:41:48 - mmengine - INFO - Epoch(train) [45][380/3757] lr: 8.5967e-03 eta: 2 days, 7:49:29 time: 0.3911 data_time: 0.0142 memory: 17007 grad_norm: 5.7764 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4278 loss: 2.4278 2022/07/27 11:41:55 - mmengine - INFO - Epoch(train) [45][400/3757] lr: 8.5967e-03 eta: 2 days, 7:49:21 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 5.7462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4494 loss: 2.4494 2022/07/27 11:42:03 - mmengine - INFO - Epoch(train) [45][420/3757] lr: 8.5967e-03 eta: 2 days, 7:49:13 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 5.7625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4507 loss: 2.4507 2022/07/27 11:42:11 - mmengine - INFO - Epoch(train) [45][440/3757] lr: 8.5967e-03 eta: 2 days, 7:49:06 time: 0.3966 data_time: 0.0164 memory: 17007 grad_norm: 5.9337 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5992 loss: 2.5992 2022/07/27 11:42:19 - mmengine - INFO - Epoch(train) [45][460/3757] lr: 8.5967e-03 eta: 2 days, 7:48:58 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 5.6672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4746 loss: 2.4746 2022/07/27 11:42:27 - mmengine - INFO - Epoch(train) [45][480/3757] lr: 8.5967e-03 eta: 2 days, 7:48:50 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 5.7725 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6026 loss: 2.6026 2022/07/27 11:42:35 - mmengine - INFO - Epoch(train) [45][500/3757] lr: 8.5967e-03 eta: 2 days, 7:48:42 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 5.9055 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5108 loss: 2.5108 2022/07/27 11:42:43 - mmengine - INFO - Epoch(train) [45][520/3757] lr: 8.5967e-03 eta: 2 days, 7:48:34 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 6.1730 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3827 loss: 2.3827 2022/07/27 11:42:51 - mmengine - INFO - Epoch(train) [45][540/3757] lr: 8.5967e-03 eta: 2 days, 7:48:26 time: 0.3931 data_time: 0.0143 memory: 17007 grad_norm: 5.9854 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4476 loss: 2.4476 2022/07/27 11:42:58 - mmengine - INFO - Epoch(train) [45][560/3757] lr: 8.5967e-03 eta: 2 days, 7:48:18 time: 0.3955 data_time: 0.0168 memory: 17007 grad_norm: 5.8792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3935 loss: 2.3935 2022/07/27 11:43:06 - mmengine - INFO - Epoch(train) [45][580/3757] lr: 8.5967e-03 eta: 2 days, 7:48:10 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 5.8765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2705 loss: 2.2705 2022/07/27 11:43:14 - mmengine - INFO - Epoch(train) [45][600/3757] lr: 8.5967e-03 eta: 2 days, 7:48:03 time: 0.3946 data_time: 0.0166 memory: 17007 grad_norm: 5.7482 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.5019 loss: 2.5019 2022/07/27 11:43:22 - mmengine - INFO - Epoch(train) [45][620/3757] lr: 8.5967e-03 eta: 2 days, 7:47:55 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 5.9184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5143 loss: 2.5143 2022/07/27 11:43:30 - mmengine - INFO - Epoch(train) [45][640/3757] lr: 8.5967e-03 eta: 2 days, 7:47:47 time: 0.3918 data_time: 0.0147 memory: 17007 grad_norm: 7.8893 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4594 loss: 2.4594 2022/07/27 11:43:38 - mmengine - INFO - Epoch(train) [45][660/3757] lr: 8.5967e-03 eta: 2 days, 7:47:39 time: 0.3948 data_time: 0.0147 memory: 17007 grad_norm: 6.0106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5579 loss: 2.5579 2022/07/27 11:43:46 - mmengine - INFO - Epoch(train) [45][680/3757] lr: 8.5967e-03 eta: 2 days, 7:47:31 time: 0.3960 data_time: 0.0168 memory: 17007 grad_norm: 6.0416 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7516 loss: 2.7516 2022/07/27 11:43:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:43:54 - mmengine - INFO - Epoch(train) [45][700/3757] lr: 8.5967e-03 eta: 2 days, 7:47:24 time: 0.3981 data_time: 0.0161 memory: 17007 grad_norm: 6.0458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3861 loss: 2.3861 2022/07/27 11:44:02 - mmengine - INFO - Epoch(train) [45][720/3757] lr: 8.5967e-03 eta: 2 days, 7:47:17 time: 0.4059 data_time: 0.0166 memory: 17007 grad_norm: 5.8288 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4183 loss: 2.4183 2022/07/27 11:44:10 - mmengine - INFO - Epoch(train) [45][740/3757] lr: 8.5967e-03 eta: 2 days, 7:47:09 time: 0.3912 data_time: 0.0147 memory: 17007 grad_norm: 5.9384 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5554 loss: 2.5554 2022/07/27 11:44:18 - mmengine - INFO - Epoch(train) [45][760/3757] lr: 8.5967e-03 eta: 2 days, 7:47:01 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 5.8960 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6964 loss: 2.6964 2022/07/27 11:44:26 - mmengine - INFO - Epoch(train) [45][780/3757] lr: 8.5967e-03 eta: 2 days, 7:46:53 time: 0.3993 data_time: 0.0178 memory: 17007 grad_norm: 5.7727 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4349 loss: 2.4349 2022/07/27 11:44:33 - mmengine - INFO - Epoch(train) [45][800/3757] lr: 8.5967e-03 eta: 2 days, 7:46:45 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 5.9943 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5804 loss: 2.5804 2022/07/27 11:44:41 - mmengine - INFO - Epoch(train) [45][820/3757] lr: 8.5967e-03 eta: 2 days, 7:46:37 time: 0.3968 data_time: 0.0161 memory: 17007 grad_norm: 5.6521 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3947 loss: 2.3947 2022/07/27 11:44:49 - mmengine - INFO - Epoch(train) [45][840/3757] lr: 8.5967e-03 eta: 2 days, 7:46:30 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 5.7008 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6241 loss: 2.6241 2022/07/27 11:44:57 - mmengine - INFO - Epoch(train) [45][860/3757] lr: 8.5967e-03 eta: 2 days, 7:46:22 time: 0.3915 data_time: 0.0149 memory: 17007 grad_norm: 5.8818 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2908 loss: 2.2908 2022/07/27 11:45:05 - mmengine - INFO - Epoch(train) [45][880/3757] lr: 8.5967e-03 eta: 2 days, 7:46:14 time: 0.3961 data_time: 0.0171 memory: 17007 grad_norm: 5.9427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5502 loss: 2.5502 2022/07/27 11:45:13 - mmengine - INFO - Epoch(train) [45][900/3757] lr: 8.5967e-03 eta: 2 days, 7:46:06 time: 0.3919 data_time: 0.0150 memory: 17007 grad_norm: 5.7252 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3337 loss: 2.3337 2022/07/27 11:45:21 - mmengine - INFO - Epoch(train) [45][920/3757] lr: 8.5967e-03 eta: 2 days, 7:45:58 time: 0.3924 data_time: 0.0163 memory: 17007 grad_norm: 6.0517 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3323 loss: 2.3323 2022/07/27 11:45:28 - mmengine - INFO - Epoch(train) [45][940/3757] lr: 8.5967e-03 eta: 2 days, 7:45:50 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 5.8530 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5861 loss: 2.5861 2022/07/27 11:45:36 - mmengine - INFO - Epoch(train) [45][960/3757] lr: 8.5967e-03 eta: 2 days, 7:45:42 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 5.8422 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5567 loss: 2.5567 2022/07/27 11:45:44 - mmengine - INFO - Epoch(train) [45][980/3757] lr: 8.5967e-03 eta: 2 days, 7:45:34 time: 0.3947 data_time: 0.0169 memory: 17007 grad_norm: 5.7141 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7310 loss: 2.7310 2022/07/27 11:45:52 - mmengine - INFO - Epoch(train) [45][1000/3757] lr: 8.5967e-03 eta: 2 days, 7:45:26 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 5.8672 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.3776 loss: 2.3776 2022/07/27 11:46:00 - mmengine - INFO - Epoch(train) [45][1020/3757] lr: 8.5967e-03 eta: 2 days, 7:45:18 time: 0.3941 data_time: 0.0173 memory: 17007 grad_norm: 5.7724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5237 loss: 2.5237 2022/07/27 11:46:08 - mmengine - INFO - Epoch(train) [45][1040/3757] lr: 8.5967e-03 eta: 2 days, 7:45:11 time: 0.4048 data_time: 0.0165 memory: 17007 grad_norm: 5.9797 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5084 loss: 2.5084 2022/07/27 11:46:16 - mmengine - INFO - Epoch(train) [45][1060/3757] lr: 8.5967e-03 eta: 2 days, 7:45:03 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 5.7348 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3011 loss: 2.3011 2022/07/27 11:46:24 - mmengine - INFO - Epoch(train) [45][1080/3757] lr: 8.5967e-03 eta: 2 days, 7:44:56 time: 0.3982 data_time: 0.0188 memory: 17007 grad_norm: 5.6223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4535 loss: 2.4535 2022/07/27 11:46:32 - mmengine - INFO - Epoch(train) [45][1100/3757] lr: 8.5967e-03 eta: 2 days, 7:44:48 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 5.7027 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5559 loss: 2.5559 2022/07/27 11:46:40 - mmengine - INFO - Epoch(train) [45][1120/3757] lr: 8.5967e-03 eta: 2 days, 7:44:40 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 6.0798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5971 loss: 2.5971 2022/07/27 11:46:48 - mmengine - INFO - Epoch(train) [45][1140/3757] lr: 8.5967e-03 eta: 2 days, 7:44:32 time: 0.4011 data_time: 0.0170 memory: 17007 grad_norm: 5.8365 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4273 loss: 2.4273 2022/07/27 11:46:55 - mmengine - INFO - Epoch(train) [45][1160/3757] lr: 8.5967e-03 eta: 2 days, 7:44:24 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 5.8595 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5810 loss: 2.5810 2022/07/27 11:47:03 - mmengine - INFO - Epoch(train) [45][1180/3757] lr: 8.5967e-03 eta: 2 days, 7:44:17 time: 0.3992 data_time: 0.0170 memory: 17007 grad_norm: 5.9414 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6798 loss: 2.6798 2022/07/27 11:47:11 - mmengine - INFO - Epoch(train) [45][1200/3757] lr: 8.5967e-03 eta: 2 days, 7:44:09 time: 0.3921 data_time: 0.0156 memory: 17007 grad_norm: 5.9631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5005 loss: 2.5005 2022/07/27 11:47:19 - mmengine - INFO - Epoch(train) [45][1220/3757] lr: 8.5967e-03 eta: 2 days, 7:44:01 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 6.0205 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6248 loss: 2.6248 2022/07/27 11:47:27 - mmengine - INFO - Epoch(train) [45][1240/3757] lr: 8.5967e-03 eta: 2 days, 7:43:54 time: 0.4029 data_time: 0.0164 memory: 17007 grad_norm: 5.8513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3171 loss: 2.3171 2022/07/27 11:47:35 - mmengine - INFO - Epoch(train) [45][1260/3757] lr: 8.5967e-03 eta: 2 days, 7:43:46 time: 0.3937 data_time: 0.0164 memory: 17007 grad_norm: 5.9204 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6749 loss: 2.6749 2022/07/27 11:47:43 - mmengine - INFO - Epoch(train) [45][1280/3757] lr: 8.5967e-03 eta: 2 days, 7:43:38 time: 0.3988 data_time: 0.0167 memory: 17007 grad_norm: 5.9342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8772 loss: 2.8772 2022/07/27 11:47:51 - mmengine - INFO - Epoch(train) [45][1300/3757] lr: 8.5967e-03 eta: 2 days, 7:43:30 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 5.8903 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7238 loss: 2.7238 2022/07/27 11:47:59 - mmengine - INFO - Epoch(train) [45][1320/3757] lr: 8.5967e-03 eta: 2 days, 7:43:22 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 5.6146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5633 loss: 2.5633 2022/07/27 11:48:07 - mmengine - INFO - Epoch(train) [45][1340/3757] lr: 8.5967e-03 eta: 2 days, 7:43:15 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 5.6347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3782 loss: 2.3782 2022/07/27 11:48:15 - mmengine - INFO - Epoch(train) [45][1360/3757] lr: 8.5967e-03 eta: 2 days, 7:43:07 time: 0.3943 data_time: 0.0170 memory: 17007 grad_norm: 5.6004 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5639 loss: 2.5639 2022/07/27 11:48:22 - mmengine - INFO - Epoch(train) [45][1380/3757] lr: 8.5967e-03 eta: 2 days, 7:42:59 time: 0.3934 data_time: 0.0166 memory: 17007 grad_norm: 5.6895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3641 loss: 2.3641 2022/07/27 11:48:30 - mmengine - INFO - Epoch(train) [45][1400/3757] lr: 8.5967e-03 eta: 2 days, 7:42:51 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 5.8809 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6363 loss: 2.6363 2022/07/27 11:48:38 - mmengine - INFO - Epoch(train) [45][1420/3757] lr: 8.5967e-03 eta: 2 days, 7:42:43 time: 0.3912 data_time: 0.0147 memory: 17007 grad_norm: 5.8585 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4677 loss: 2.4677 2022/07/27 11:48:46 - mmengine - INFO - Epoch(train) [45][1440/3757] lr: 8.5967e-03 eta: 2 days, 7:42:35 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 5.8808 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9021 loss: 2.9021 2022/07/27 11:48:54 - mmengine - INFO - Epoch(train) [45][1460/3757] lr: 8.5967e-03 eta: 2 days, 7:42:27 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 5.8062 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5511 loss: 2.5511 2022/07/27 11:49:02 - mmengine - INFO - Epoch(train) [45][1480/3757] lr: 8.5967e-03 eta: 2 days, 7:42:20 time: 0.4004 data_time: 0.0188 memory: 17007 grad_norm: 5.7779 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6985 loss: 2.6985 2022/07/27 11:49:10 - mmengine - INFO - Epoch(train) [45][1500/3757] lr: 8.5967e-03 eta: 2 days, 7:42:12 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 5.6641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3301 loss: 2.3301 2022/07/27 11:49:18 - mmengine - INFO - Epoch(train) [45][1520/3757] lr: 8.5967e-03 eta: 2 days, 7:42:04 time: 0.3910 data_time: 0.0154 memory: 17007 grad_norm: 5.8294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5378 loss: 2.5378 2022/07/27 11:49:26 - mmengine - INFO - Epoch(train) [45][1540/3757] lr: 8.5967e-03 eta: 2 days, 7:41:56 time: 0.3966 data_time: 0.0157 memory: 17007 grad_norm: 5.6718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3552 loss: 2.3552 2022/07/27 11:49:33 - mmengine - INFO - Epoch(train) [45][1560/3757] lr: 8.5967e-03 eta: 2 days, 7:41:48 time: 0.3928 data_time: 0.0159 memory: 17007 grad_norm: 5.8881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7087 loss: 2.7087 2022/07/27 11:49:41 - mmengine - INFO - Epoch(train) [45][1580/3757] lr: 8.5967e-03 eta: 2 days, 7:41:40 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 5.8021 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3044 loss: 2.3044 2022/07/27 11:49:49 - mmengine - INFO - Epoch(train) [45][1600/3757] lr: 8.5967e-03 eta: 2 days, 7:41:32 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 5.8415 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3708 loss: 2.3708 2022/07/27 11:49:57 - mmengine - INFO - Epoch(train) [45][1620/3757] lr: 8.5967e-03 eta: 2 days, 7:41:24 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 5.9918 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5777 loss: 2.5777 2022/07/27 11:50:05 - mmengine - INFO - Epoch(train) [45][1640/3757] lr: 8.5967e-03 eta: 2 days, 7:41:17 time: 0.4014 data_time: 0.0164 memory: 17007 grad_norm: 5.6699 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2582 loss: 2.2582 2022/07/27 11:50:13 - mmengine - INFO - Epoch(train) [45][1660/3757] lr: 8.5967e-03 eta: 2 days, 7:41:09 time: 0.3909 data_time: 0.0146 memory: 17007 grad_norm: 5.6179 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4551 loss: 2.4551 2022/07/27 11:50:21 - mmengine - INFO - Epoch(train) [45][1680/3757] lr: 8.5967e-03 eta: 2 days, 7:41:01 time: 0.3932 data_time: 0.0167 memory: 17007 grad_norm: 6.0221 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4606 loss: 2.4606 2022/07/27 11:50:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:50:29 - mmengine - INFO - Epoch(train) [45][1700/3757] lr: 8.5967e-03 eta: 2 days, 7:40:53 time: 0.3937 data_time: 0.0166 memory: 17007 grad_norm: 5.9822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4254 loss: 2.4254 2022/07/27 11:50:36 - mmengine - INFO - Epoch(train) [45][1720/3757] lr: 8.5967e-03 eta: 2 days, 7:40:45 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 6.0950 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4742 loss: 2.4742 2022/07/27 11:50:44 - mmengine - INFO - Epoch(train) [45][1740/3757] lr: 8.5967e-03 eta: 2 days, 7:40:38 time: 0.3954 data_time: 0.0159 memory: 17007 grad_norm: 5.8155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6703 loss: 2.6703 2022/07/27 11:50:52 - mmengine - INFO - Epoch(train) [45][1760/3757] lr: 8.5967e-03 eta: 2 days, 7:40:30 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 5.7366 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5548 loss: 2.5548 2022/07/27 11:51:00 - mmengine - INFO - Epoch(train) [45][1780/3757] lr: 8.5967e-03 eta: 2 days, 7:40:22 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 5.8544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3689 loss: 2.3689 2022/07/27 11:51:08 - mmengine - INFO - Epoch(train) [45][1800/3757] lr: 8.5967e-03 eta: 2 days, 7:40:14 time: 0.4058 data_time: 0.0169 memory: 17007 grad_norm: 5.8367 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6734 loss: 2.6734 2022/07/27 11:51:16 - mmengine - INFO - Epoch(train) [45][1820/3757] lr: 8.5967e-03 eta: 2 days, 7:40:07 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 5.9873 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2620 loss: 2.2620 2022/07/27 11:51:24 - mmengine - INFO - Epoch(train) [45][1840/3757] lr: 8.5967e-03 eta: 2 days, 7:39:59 time: 0.3982 data_time: 0.0163 memory: 17007 grad_norm: 5.9714 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4656 loss: 2.4656 2022/07/27 11:51:32 - mmengine - INFO - Epoch(train) [45][1860/3757] lr: 8.5967e-03 eta: 2 days, 7:39:51 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 5.7983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3054 loss: 2.3054 2022/07/27 11:51:40 - mmengine - INFO - Epoch(train) [45][1880/3757] lr: 8.5967e-03 eta: 2 days, 7:39:43 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.8680 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5461 loss: 2.5461 2022/07/27 11:51:48 - mmengine - INFO - Epoch(train) [45][1900/3757] lr: 8.5967e-03 eta: 2 days, 7:39:36 time: 0.4039 data_time: 0.0165 memory: 17007 grad_norm: 5.7764 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2183 loss: 2.2183 2022/07/27 11:51:56 - mmengine - INFO - Epoch(train) [45][1920/3757] lr: 8.5967e-03 eta: 2 days, 7:39:28 time: 0.3935 data_time: 0.0167 memory: 17007 grad_norm: 5.6440 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4382 loss: 2.4382 2022/07/27 11:52:04 - mmengine - INFO - Epoch(train) [45][1940/3757] lr: 8.5967e-03 eta: 2 days, 7:39:20 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 5.7757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3104 loss: 2.3104 2022/07/27 11:52:11 - mmengine - INFO - Epoch(train) [45][1960/3757] lr: 8.5967e-03 eta: 2 days, 7:39:12 time: 0.3917 data_time: 0.0153 memory: 17007 grad_norm: 5.8373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5365 loss: 2.5365 2022/07/27 11:52:19 - mmengine - INFO - Epoch(train) [45][1980/3757] lr: 8.5967e-03 eta: 2 days, 7:39:04 time: 0.3915 data_time: 0.0149 memory: 17007 grad_norm: 5.7392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3691 loss: 2.3691 2022/07/27 11:52:27 - mmengine - INFO - Epoch(train) [45][2000/3757] lr: 8.5967e-03 eta: 2 days, 7:38:56 time: 0.3944 data_time: 0.0169 memory: 17007 grad_norm: 5.6999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2376 loss: 2.2376 2022/07/27 11:52:35 - mmengine - INFO - Epoch(train) [45][2020/3757] lr: 8.5967e-03 eta: 2 days, 7:38:48 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 5.8883 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3807 loss: 2.3807 2022/07/27 11:52:43 - mmengine - INFO - Epoch(train) [45][2040/3757] lr: 8.5967e-03 eta: 2 days, 7:38:41 time: 0.3943 data_time: 0.0162 memory: 17007 grad_norm: 5.5652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2091 loss: 2.2091 2022/07/27 11:52:51 - mmengine - INFO - Epoch(train) [45][2060/3757] lr: 8.5967e-03 eta: 2 days, 7:38:33 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 5.9129 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4537 loss: 2.4537 2022/07/27 11:52:59 - mmengine - INFO - Epoch(train) [45][2080/3757] lr: 8.5967e-03 eta: 2 days, 7:38:25 time: 0.3961 data_time: 0.0160 memory: 17007 grad_norm: 5.9768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3384 loss: 2.3384 2022/07/27 11:53:07 - mmengine - INFO - Epoch(train) [45][2100/3757] lr: 8.5967e-03 eta: 2 days, 7:38:18 time: 0.4063 data_time: 0.0152 memory: 17007 grad_norm: 5.8321 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5522 loss: 2.5522 2022/07/27 11:53:15 - mmengine - INFO - Epoch(train) [45][2120/3757] lr: 8.5967e-03 eta: 2 days, 7:38:10 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 5.6759 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4129 loss: 2.4129 2022/07/27 11:53:23 - mmengine - INFO - Epoch(train) [45][2140/3757] lr: 8.5967e-03 eta: 2 days, 7:38:02 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 5.7083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8160 loss: 2.8160 2022/07/27 11:53:30 - mmengine - INFO - Epoch(train) [45][2160/3757] lr: 8.5967e-03 eta: 2 days, 7:37:54 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 5.7951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4715 loss: 2.4715 2022/07/27 11:53:38 - mmengine - INFO - Epoch(train) [45][2180/3757] lr: 8.5967e-03 eta: 2 days, 7:37:46 time: 0.3923 data_time: 0.0145 memory: 17007 grad_norm: 5.9297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2893 loss: 2.2893 2022/07/27 11:53:47 - mmengine - INFO - Epoch(train) [45][2200/3757] lr: 8.5967e-03 eta: 2 days, 7:37:40 time: 0.4138 data_time: 0.0168 memory: 17007 grad_norm: 5.9209 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8228 loss: 2.8228 2022/07/27 11:53:54 - mmengine - INFO - Epoch(train) [45][2220/3757] lr: 8.5967e-03 eta: 2 days, 7:37:32 time: 0.3952 data_time: 0.0169 memory: 17007 grad_norm: 5.9050 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5412 loss: 2.5412 2022/07/27 11:54:02 - mmengine - INFO - Epoch(train) [45][2240/3757] lr: 8.5967e-03 eta: 2 days, 7:37:24 time: 0.4006 data_time: 0.0161 memory: 17007 grad_norm: 5.8828 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6730 loss: 2.6730 2022/07/27 11:54:10 - mmengine - INFO - Epoch(train) [45][2260/3757] lr: 8.5967e-03 eta: 2 days, 7:37:16 time: 0.3913 data_time: 0.0152 memory: 17007 grad_norm: 5.7685 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4070 loss: 2.4070 2022/07/27 11:54:18 - mmengine - INFO - Epoch(train) [45][2280/3757] lr: 8.5967e-03 eta: 2 days, 7:37:08 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.8477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6193 loss: 2.6193 2022/07/27 11:54:26 - mmengine - INFO - Epoch(train) [45][2300/3757] lr: 8.5967e-03 eta: 2 days, 7:37:01 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 5.7575 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4839 loss: 2.4839 2022/07/27 11:54:34 - mmengine - INFO - Epoch(train) [45][2320/3757] lr: 8.5967e-03 eta: 2 days, 7:36:53 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 5.7950 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3341 loss: 2.3341 2022/07/27 11:54:42 - mmengine - INFO - Epoch(train) [45][2340/3757] lr: 8.5967e-03 eta: 2 days, 7:36:45 time: 0.3979 data_time: 0.0162 memory: 17007 grad_norm: 6.0575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6129 loss: 2.6129 2022/07/27 11:54:50 - mmengine - INFO - Epoch(train) [45][2360/3757] lr: 8.5967e-03 eta: 2 days, 7:36:37 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 6.0832 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4606 loss: 2.4606 2022/07/27 11:54:58 - mmengine - INFO - Epoch(train) [45][2380/3757] lr: 8.5967e-03 eta: 2 days, 7:36:29 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 5.8893 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5360 loss: 2.5360 2022/07/27 11:55:06 - mmengine - INFO - Epoch(train) [45][2400/3757] lr: 8.5967e-03 eta: 2 days, 7:36:22 time: 0.3964 data_time: 0.0167 memory: 17007 grad_norm: 5.9015 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3959 loss: 2.3959 2022/07/27 11:55:14 - mmengine - INFO - Epoch(train) [45][2420/3757] lr: 8.5967e-03 eta: 2 days, 7:36:14 time: 0.3961 data_time: 0.0157 memory: 17007 grad_norm: 5.9084 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8602 loss: 2.8602 2022/07/27 11:55:21 - mmengine - INFO - Epoch(train) [45][2440/3757] lr: 8.5967e-03 eta: 2 days, 7:36:06 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 5.8652 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5365 loss: 2.5365 2022/07/27 11:55:29 - mmengine - INFO - Epoch(train) [45][2460/3757] lr: 8.5967e-03 eta: 2 days, 7:35:58 time: 0.3961 data_time: 0.0150 memory: 17007 grad_norm: 6.7979 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6711 loss: 2.6711 2022/07/27 11:55:37 - mmengine - INFO - Epoch(train) [45][2480/3757] lr: 8.5967e-03 eta: 2 days, 7:35:50 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 6.0341 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5328 loss: 2.5328 2022/07/27 11:55:45 - mmengine - INFO - Epoch(train) [45][2500/3757] lr: 8.5967e-03 eta: 2 days, 7:35:43 time: 0.3967 data_time: 0.0159 memory: 17007 grad_norm: 5.9269 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3929 loss: 2.3929 2022/07/27 11:55:53 - mmengine - INFO - Epoch(train) [45][2520/3757] lr: 8.5967e-03 eta: 2 days, 7:35:35 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 5.8919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6056 loss: 2.6056 2022/07/27 11:56:01 - mmengine - INFO - Epoch(train) [45][2540/3757] lr: 8.5967e-03 eta: 2 days, 7:35:27 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 5.9065 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4377 loss: 2.4377 2022/07/27 11:56:09 - mmengine - INFO - Epoch(train) [45][2560/3757] lr: 8.5967e-03 eta: 2 days, 7:35:19 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 5.8615 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3324 loss: 2.3324 2022/07/27 11:56:17 - mmengine - INFO - Epoch(train) [45][2580/3757] lr: 8.5967e-03 eta: 2 days, 7:35:11 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 5.9363 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3961 loss: 2.3961 2022/07/27 11:56:24 - mmengine - INFO - Epoch(train) [45][2600/3757] lr: 8.5967e-03 eta: 2 days, 7:35:03 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 6.1624 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6696 loss: 2.6696 2022/07/27 11:56:32 - mmengine - INFO - Epoch(train) [45][2620/3757] lr: 8.5967e-03 eta: 2 days, 7:34:55 time: 0.3922 data_time: 0.0148 memory: 17007 grad_norm: 5.7739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2954 loss: 2.2954 2022/07/27 11:56:40 - mmengine - INFO - Epoch(train) [45][2640/3757] lr: 8.5967e-03 eta: 2 days, 7:34:47 time: 0.3928 data_time: 0.0164 memory: 17007 grad_norm: 5.7893 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3196 loss: 2.3196 2022/07/27 11:56:48 - mmengine - INFO - Epoch(train) [45][2660/3757] lr: 8.5967e-03 eta: 2 days, 7:34:39 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 5.7570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6469 loss: 2.6469 2022/07/27 11:56:56 - mmengine - INFO - Epoch(train) [45][2680/3757] lr: 8.5967e-03 eta: 2 days, 7:34:32 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 5.8368 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1938 loss: 2.1938 2022/07/27 11:57:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 11:57:04 - mmengine - INFO - Epoch(train) [45][2700/3757] lr: 8.5967e-03 eta: 2 days, 7:34:25 time: 0.4119 data_time: 0.0167 memory: 17007 grad_norm: 5.8961 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5610 loss: 2.5610 2022/07/27 11:57:12 - mmengine - INFO - Epoch(train) [45][2720/3757] lr: 8.5967e-03 eta: 2 days, 7:34:17 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 5.9706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3272 loss: 2.3272 2022/07/27 11:57:20 - mmengine - INFO - Epoch(train) [45][2740/3757] lr: 8.5967e-03 eta: 2 days, 7:34:09 time: 0.3915 data_time: 0.0141 memory: 17007 grad_norm: 5.8493 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5138 loss: 2.5138 2022/07/27 11:57:28 - mmengine - INFO - Epoch(train) [45][2760/3757] lr: 8.5967e-03 eta: 2 days, 7:34:01 time: 0.3957 data_time: 0.0150 memory: 17007 grad_norm: 5.9336 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9104 loss: 2.9104 2022/07/27 11:57:36 - mmengine - INFO - Epoch(train) [45][2780/3757] lr: 8.5967e-03 eta: 2 days, 7:33:53 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 5.6651 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4773 loss: 2.4773 2022/07/27 11:57:44 - mmengine - INFO - Epoch(train) [45][2800/3757] lr: 8.5967e-03 eta: 2 days, 7:33:45 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 5.7513 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4177 loss: 2.4177 2022/07/27 11:57:51 - mmengine - INFO - Epoch(train) [45][2820/3757] lr: 8.5967e-03 eta: 2 days, 7:33:38 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 5.8417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2879 loss: 2.2879 2022/07/27 11:57:59 - mmengine - INFO - Epoch(train) [45][2840/3757] lr: 8.5967e-03 eta: 2 days, 7:33:30 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 5.7550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3079 loss: 2.3079 2022/07/27 11:58:07 - mmengine - INFO - Epoch(train) [45][2860/3757] lr: 8.5967e-03 eta: 2 days, 7:33:22 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 5.8404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2228 loss: 2.2228 2022/07/27 11:58:15 - mmengine - INFO - Epoch(train) [45][2880/3757] lr: 8.5967e-03 eta: 2 days, 7:33:14 time: 0.3941 data_time: 0.0165 memory: 17007 grad_norm: 5.8641 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7246 loss: 2.7246 2022/07/27 11:58:23 - mmengine - INFO - Epoch(train) [45][2900/3757] lr: 8.5967e-03 eta: 2 days, 7:33:06 time: 0.3958 data_time: 0.0177 memory: 17007 grad_norm: 5.9792 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6770 loss: 2.6770 2022/07/27 11:58:31 - mmengine - INFO - Epoch(train) [45][2920/3757] lr: 8.5967e-03 eta: 2 days, 7:32:58 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.8877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4087 loss: 2.4087 2022/07/27 11:58:39 - mmengine - INFO - Epoch(train) [45][2940/3757] lr: 8.5967e-03 eta: 2 days, 7:32:50 time: 0.3930 data_time: 0.0137 memory: 17007 grad_norm: 5.8420 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5173 loss: 2.5173 2022/07/27 11:58:47 - mmengine - INFO - Epoch(train) [45][2960/3757] lr: 8.5967e-03 eta: 2 days, 7:32:42 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 5.9114 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4041 loss: 2.4041 2022/07/27 11:58:54 - mmengine - INFO - Epoch(train) [45][2980/3757] lr: 8.5967e-03 eta: 2 days, 7:32:35 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 5.9811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3334 loss: 2.3334 2022/07/27 11:59:02 - mmengine - INFO - Epoch(train) [45][3000/3757] lr: 8.5967e-03 eta: 2 days, 7:32:27 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 5.9230 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1487 loss: 2.1487 2022/07/27 11:59:10 - mmengine - INFO - Epoch(train) [45][3020/3757] lr: 8.5967e-03 eta: 2 days, 7:32:19 time: 0.3912 data_time: 0.0136 memory: 17007 grad_norm: 5.8731 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3876 loss: 2.3876 2022/07/27 11:59:18 - mmengine - INFO - Epoch(train) [45][3040/3757] lr: 8.5967e-03 eta: 2 days, 7:32:11 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.7517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1547 loss: 2.1547 2022/07/27 11:59:26 - mmengine - INFO - Epoch(train) [45][3060/3757] lr: 8.5967e-03 eta: 2 days, 7:32:03 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 5.7528 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2452 loss: 2.2452 2022/07/27 11:59:34 - mmengine - INFO - Epoch(train) [45][3080/3757] lr: 8.5967e-03 eta: 2 days, 7:31:55 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 5.8815 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7133 loss: 2.7133 2022/07/27 11:59:42 - mmengine - INFO - Epoch(train) [45][3100/3757] lr: 8.5967e-03 eta: 2 days, 7:31:47 time: 0.3923 data_time: 0.0143 memory: 17007 grad_norm: 5.9911 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4431 loss: 2.4431 2022/07/27 11:59:50 - mmengine - INFO - Epoch(train) [45][3120/3757] lr: 8.5967e-03 eta: 2 days, 7:31:39 time: 0.3966 data_time: 0.0168 memory: 17007 grad_norm: 5.8516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3658 loss: 2.3658 2022/07/27 11:59:57 - mmengine - INFO - Epoch(train) [45][3140/3757] lr: 8.5967e-03 eta: 2 days, 7:31:31 time: 0.3909 data_time: 0.0150 memory: 17007 grad_norm: 5.8328 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6124 loss: 2.6124 2022/07/27 12:00:09 - mmengine - INFO - Epoch(train) [45][3160/3757] lr: 8.5967e-03 eta: 2 days, 7:31:34 time: 0.5636 data_time: 0.0193 memory: 17007 grad_norm: 5.8376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2694 loss: 2.2694 2022/07/27 12:00:17 - mmengine - INFO - Epoch(train) [45][3180/3757] lr: 8.5967e-03 eta: 2 days, 7:31:26 time: 0.3951 data_time: 0.0169 memory: 17007 grad_norm: 5.9204 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2947 loss: 2.2947 2022/07/27 12:00:24 - mmengine - INFO - Epoch(train) [45][3200/3757] lr: 8.5967e-03 eta: 2 days, 7:31:18 time: 0.3940 data_time: 0.0139 memory: 17007 grad_norm: 5.8307 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7126 loss: 2.7126 2022/07/27 12:00:32 - mmengine - INFO - Epoch(train) [45][3220/3757] lr: 8.5967e-03 eta: 2 days, 7:31:10 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 5.8785 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.8349 loss: 2.8349 2022/07/27 12:00:40 - mmengine - INFO - Epoch(train) [45][3240/3757] lr: 8.5967e-03 eta: 2 days, 7:31:02 time: 0.3905 data_time: 0.0128 memory: 17007 grad_norm: 5.7139 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3718 loss: 2.3718 2022/07/27 12:00:48 - mmengine - INFO - Epoch(train) [45][3260/3757] lr: 8.5967e-03 eta: 2 days, 7:30:54 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 5.7567 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4345 loss: 2.4345 2022/07/27 12:00:56 - mmengine - INFO - Epoch(train) [45][3280/3757] lr: 8.5967e-03 eta: 2 days, 7:30:47 time: 0.4030 data_time: 0.0145 memory: 17007 grad_norm: 5.7855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4599 loss: 2.4599 2022/07/27 12:01:04 - mmengine - INFO - Epoch(train) [45][3300/3757] lr: 8.5967e-03 eta: 2 days, 7:30:39 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 5.8954 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3631 loss: 2.3631 2022/07/27 12:01:12 - mmengine - INFO - Epoch(train) [45][3320/3757] lr: 8.5967e-03 eta: 2 days, 7:30:31 time: 0.3917 data_time: 0.0130 memory: 17007 grad_norm: 5.6478 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2361 loss: 2.2361 2022/07/27 12:01:20 - mmengine - INFO - Epoch(train) [45][3340/3757] lr: 8.5967e-03 eta: 2 days, 7:30:24 time: 0.4054 data_time: 0.0172 memory: 17007 grad_norm: 5.9302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5954 loss: 2.5954 2022/07/27 12:01:28 - mmengine - INFO - Epoch(train) [45][3360/3757] lr: 8.5967e-03 eta: 2 days, 7:30:16 time: 0.3927 data_time: 0.0139 memory: 17007 grad_norm: 6.0712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2213 loss: 2.2213 2022/07/27 12:01:36 - mmengine - INFO - Epoch(train) [45][3380/3757] lr: 8.5967e-03 eta: 2 days, 7:30:08 time: 0.3976 data_time: 0.0174 memory: 17007 grad_norm: 5.9637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5013 loss: 2.5013 2022/07/27 12:01:44 - mmengine - INFO - Epoch(train) [45][3400/3757] lr: 8.5967e-03 eta: 2 days, 7:30:00 time: 0.3957 data_time: 0.0143 memory: 17007 grad_norm: 5.8954 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5317 loss: 2.5317 2022/07/27 12:01:51 - mmengine - INFO - Epoch(train) [45][3420/3757] lr: 8.5967e-03 eta: 2 days, 7:29:52 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 5.8766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4322 loss: 2.4322 2022/07/27 12:01:59 - mmengine - INFO - Epoch(train) [45][3440/3757] lr: 8.5967e-03 eta: 2 days, 7:29:45 time: 0.3931 data_time: 0.0136 memory: 17007 grad_norm: 5.7058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2998 loss: 2.2998 2022/07/27 12:02:07 - mmengine - INFO - Epoch(train) [45][3460/3757] lr: 8.5967e-03 eta: 2 days, 7:29:37 time: 0.3990 data_time: 0.0183 memory: 17007 grad_norm: 5.8263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3068 loss: 2.3068 2022/07/27 12:02:15 - mmengine - INFO - Epoch(train) [45][3480/3757] lr: 8.5967e-03 eta: 2 days, 7:29:29 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 5.8855 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5387 loss: 2.5387 2022/07/27 12:02:23 - mmengine - INFO - Epoch(train) [45][3500/3757] lr: 8.5967e-03 eta: 2 days, 7:29:21 time: 0.3952 data_time: 0.0166 memory: 17007 grad_norm: 5.6500 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3271 loss: 2.3271 2022/07/27 12:02:31 - mmengine - INFO - Epoch(train) [45][3520/3757] lr: 8.5967e-03 eta: 2 days, 7:29:13 time: 0.3902 data_time: 0.0122 memory: 17007 grad_norm: 5.9543 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4735 loss: 2.4735 2022/07/27 12:02:39 - mmengine - INFO - Epoch(train) [45][3540/3757] lr: 8.5967e-03 eta: 2 days, 7:29:05 time: 0.3938 data_time: 0.0164 memory: 17007 grad_norm: 5.8960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7331 loss: 2.7331 2022/07/27 12:02:47 - mmengine - INFO - Epoch(train) [45][3560/3757] lr: 8.5967e-03 eta: 2 days, 7:28:58 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 5.9974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3023 loss: 2.3023 2022/07/27 12:02:55 - mmengine - INFO - Epoch(train) [45][3580/3757] lr: 8.5967e-03 eta: 2 days, 7:28:50 time: 0.4015 data_time: 0.0162 memory: 17007 grad_norm: 5.8410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3897 loss: 2.3897 2022/07/27 12:03:03 - mmengine - INFO - Epoch(train) [45][3600/3757] lr: 8.5967e-03 eta: 2 days, 7:28:42 time: 0.3901 data_time: 0.0140 memory: 17007 grad_norm: 5.7074 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.4975 loss: 2.4975 2022/07/27 12:03:10 - mmengine - INFO - Epoch(train) [45][3620/3757] lr: 8.5967e-03 eta: 2 days, 7:28:34 time: 0.3929 data_time: 0.0169 memory: 17007 grad_norm: 6.0035 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4153 loss: 2.4153 2022/07/27 12:03:18 - mmengine - INFO - Epoch(train) [45][3640/3757] lr: 8.5967e-03 eta: 2 days, 7:28:26 time: 0.3914 data_time: 0.0133 memory: 17007 grad_norm: 5.9379 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4685 loss: 2.4685 2022/07/27 12:03:26 - mmengine - INFO - Epoch(train) [45][3660/3757] lr: 8.5967e-03 eta: 2 days, 7:28:18 time: 0.3958 data_time: 0.0170 memory: 17007 grad_norm: 5.8141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6116 loss: 2.6116 2022/07/27 12:03:34 - mmengine - INFO - Epoch(train) [45][3680/3757] lr: 8.5967e-03 eta: 2 days, 7:28:10 time: 0.3913 data_time: 0.0134 memory: 17007 grad_norm: 5.8287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0630 loss: 2.0630 2022/07/27 12:03:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:03:42 - mmengine - INFO - Epoch(train) [45][3700/3757] lr: 8.5967e-03 eta: 2 days, 7:28:03 time: 0.3940 data_time: 0.0170 memory: 17007 grad_norm: 5.7196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5432 loss: 2.5432 2022/07/27 12:03:50 - mmengine - INFO - Epoch(train) [45][3720/3757] lr: 8.5967e-03 eta: 2 days, 7:27:55 time: 0.3927 data_time: 0.0143 memory: 17007 grad_norm: 5.9177 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4397 loss: 2.4397 2022/07/27 12:03:58 - mmengine - INFO - Epoch(train) [45][3740/3757] lr: 8.5967e-03 eta: 2 days, 7:27:47 time: 0.3940 data_time: 0.0162 memory: 17007 grad_norm: 6.0815 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2574 loss: 2.2574 2022/07/27 12:04:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:04:04 - mmengine - INFO - Epoch(train) [45][3757/3757] lr: 8.5967e-03 eta: 2 days, 7:27:47 time: 0.3916 data_time: 0.0161 memory: 17007 grad_norm: 5.7892 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.6727 loss: 2.6727 2022/07/27 12:04:04 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/07/27 12:04:15 - mmengine - INFO - Epoch(train) [46][20/3757] lr: 8.5355e-03 eta: 2 days, 7:27:15 time: 0.4467 data_time: 0.0701 memory: 17007 grad_norm: 5.7996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3089 loss: 2.3089 2022/07/27 12:04:23 - mmengine - INFO - Epoch(train) [46][40/3757] lr: 8.5355e-03 eta: 2 days, 7:27:08 time: 0.4075 data_time: 0.0195 memory: 17007 grad_norm: 5.8127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1760 loss: 2.1760 2022/07/27 12:04:31 - mmengine - INFO - Epoch(train) [46][60/3757] lr: 8.5355e-03 eta: 2 days, 7:27:00 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 5.9462 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2287 loss: 2.2287 2022/07/27 12:04:39 - mmengine - INFO - Epoch(train) [46][80/3757] lr: 8.5355e-03 eta: 2 days, 7:26:52 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 5.9097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5149 loss: 2.5149 2022/07/27 12:04:47 - mmengine - INFO - Epoch(train) [46][100/3757] lr: 8.5355e-03 eta: 2 days, 7:26:44 time: 0.3942 data_time: 0.0163 memory: 17007 grad_norm: 5.8778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3515 loss: 2.3515 2022/07/27 12:04:55 - mmengine - INFO - Epoch(train) [46][120/3757] lr: 8.5355e-03 eta: 2 days, 7:26:36 time: 0.3907 data_time: 0.0146 memory: 17007 grad_norm: 5.9282 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4354 loss: 2.4354 2022/07/27 12:05:03 - mmengine - INFO - Epoch(train) [46][140/3757] lr: 8.5355e-03 eta: 2 days, 7:26:28 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 5.8105 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5558 loss: 2.5558 2022/07/27 12:05:10 - mmengine - INFO - Epoch(train) [46][160/3757] lr: 8.5355e-03 eta: 2 days, 7:26:21 time: 0.3948 data_time: 0.0170 memory: 17007 grad_norm: 5.7600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2865 loss: 2.2865 2022/07/27 12:05:18 - mmengine - INFO - Epoch(train) [46][180/3757] lr: 8.5355e-03 eta: 2 days, 7:26:13 time: 0.3904 data_time: 0.0142 memory: 17007 grad_norm: 5.8986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4385 loss: 2.4385 2022/07/27 12:05:26 - mmengine - INFO - Epoch(train) [46][200/3757] lr: 8.5355e-03 eta: 2 days, 7:26:05 time: 0.3959 data_time: 0.0168 memory: 17007 grad_norm: 5.7848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2033 loss: 2.2033 2022/07/27 12:05:34 - mmengine - INFO - Epoch(train) [46][220/3757] lr: 8.5355e-03 eta: 2 days, 7:25:57 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.8696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5531 loss: 2.5531 2022/07/27 12:05:42 - mmengine - INFO - Epoch(train) [46][240/3757] lr: 8.5355e-03 eta: 2 days, 7:25:49 time: 0.3929 data_time: 0.0168 memory: 17007 grad_norm: 5.9539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6907 loss: 2.6907 2022/07/27 12:05:50 - mmengine - INFO - Epoch(train) [46][260/3757] lr: 8.5355e-03 eta: 2 days, 7:25:41 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 5.7984 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1841 loss: 2.1841 2022/07/27 12:05:58 - mmengine - INFO - Epoch(train) [46][280/3757] lr: 8.5355e-03 eta: 2 days, 7:25:33 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 5.7833 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2865 loss: 2.2865 2022/07/27 12:06:05 - mmengine - INFO - Epoch(train) [46][300/3757] lr: 8.5355e-03 eta: 2 days, 7:25:25 time: 0.3952 data_time: 0.0163 memory: 17007 grad_norm: 5.7507 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1562 loss: 2.1562 2022/07/27 12:06:13 - mmengine - INFO - Epoch(train) [46][320/3757] lr: 8.5355e-03 eta: 2 days, 7:25:17 time: 0.3906 data_time: 0.0149 memory: 17007 grad_norm: 5.7197 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4579 loss: 2.4579 2022/07/27 12:06:21 - mmengine - INFO - Epoch(train) [46][340/3757] lr: 8.5355e-03 eta: 2 days, 7:25:09 time: 0.3930 data_time: 0.0151 memory: 17007 grad_norm: 5.7393 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4491 loss: 2.4491 2022/07/27 12:06:29 - mmengine - INFO - Epoch(train) [46][360/3757] lr: 8.5355e-03 eta: 2 days, 7:25:02 time: 0.3944 data_time: 0.0165 memory: 17007 grad_norm: 5.9557 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6403 loss: 2.6403 2022/07/27 12:06:37 - mmengine - INFO - Epoch(train) [46][380/3757] lr: 8.5355e-03 eta: 2 days, 7:24:54 time: 0.4017 data_time: 0.0147 memory: 17007 grad_norm: 5.6549 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3652 loss: 2.3652 2022/07/27 12:06:45 - mmengine - INFO - Epoch(train) [46][400/3757] lr: 8.5355e-03 eta: 2 days, 7:24:47 time: 0.3979 data_time: 0.0169 memory: 17007 grad_norm: 5.7187 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7245 loss: 2.7245 2022/07/27 12:06:53 - mmengine - INFO - Epoch(train) [46][420/3757] lr: 8.5355e-03 eta: 2 days, 7:24:38 time: 0.3908 data_time: 0.0149 memory: 17007 grad_norm: 5.9651 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2696 loss: 2.2696 2022/07/27 12:07:01 - mmengine - INFO - Epoch(train) [46][440/3757] lr: 8.5355e-03 eta: 2 days, 7:24:31 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 5.8452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2365 loss: 2.2365 2022/07/27 12:07:09 - mmengine - INFO - Epoch(train) [46][460/3757] lr: 8.5355e-03 eta: 2 days, 7:24:23 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 5.8371 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5064 loss: 2.5064 2022/07/27 12:07:17 - mmengine - INFO - Epoch(train) [46][480/3757] lr: 8.5355e-03 eta: 2 days, 7:24:15 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 5.7437 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0334 loss: 2.0334 2022/07/27 12:07:24 - mmengine - INFO - Epoch(train) [46][500/3757] lr: 8.5355e-03 eta: 2 days, 7:24:07 time: 0.3955 data_time: 0.0175 memory: 17007 grad_norm: 5.7145 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3470 loss: 2.3470 2022/07/27 12:07:32 - mmengine - INFO - Epoch(train) [46][520/3757] lr: 8.5355e-03 eta: 2 days, 7:23:59 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 5.8556 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5150 loss: 2.5150 2022/07/27 12:07:40 - mmengine - INFO - Epoch(train) [46][540/3757] lr: 8.5355e-03 eta: 2 days, 7:23:51 time: 0.3924 data_time: 0.0147 memory: 17007 grad_norm: 5.8543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3388 loss: 2.3388 2022/07/27 12:07:48 - mmengine - INFO - Epoch(train) [46][560/3757] lr: 8.5355e-03 eta: 2 days, 7:23:43 time: 0.3953 data_time: 0.0170 memory: 17007 grad_norm: 5.8932 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3444 loss: 2.3444 2022/07/27 12:07:56 - mmengine - INFO - Epoch(train) [46][580/3757] lr: 8.5355e-03 eta: 2 days, 7:23:36 time: 0.4090 data_time: 0.0158 memory: 17007 grad_norm: 5.9977 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5893 loss: 2.5893 2022/07/27 12:08:04 - mmengine - INFO - Epoch(train) [46][600/3757] lr: 8.5355e-03 eta: 2 days, 7:23:29 time: 0.3957 data_time: 0.0173 memory: 17007 grad_norm: 5.9532 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5207 loss: 2.5207 2022/07/27 12:08:12 - mmengine - INFO - Epoch(train) [46][620/3757] lr: 8.5355e-03 eta: 2 days, 7:23:21 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 5.6874 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4234 loss: 2.4234 2022/07/27 12:08:20 - mmengine - INFO - Epoch(train) [46][640/3757] lr: 8.5355e-03 eta: 2 days, 7:23:13 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.9058 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2988 loss: 2.2988 2022/07/27 12:08:28 - mmengine - INFO - Epoch(train) [46][660/3757] lr: 8.5355e-03 eta: 2 days, 7:23:05 time: 0.3944 data_time: 0.0172 memory: 17007 grad_norm: 5.8367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.4872 loss: 2.4872 2022/07/27 12:08:36 - mmengine - INFO - Epoch(train) [46][680/3757] lr: 8.5355e-03 eta: 2 days, 7:22:57 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 5.7907 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9666 loss: 1.9666 2022/07/27 12:08:44 - mmengine - INFO - Epoch(train) [46][700/3757] lr: 8.5355e-03 eta: 2 days, 7:22:49 time: 0.3940 data_time: 0.0165 memory: 17007 grad_norm: 5.8829 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5707 loss: 2.5707 2022/07/27 12:08:51 - mmengine - INFO - Epoch(train) [46][720/3757] lr: 8.5355e-03 eta: 2 days, 7:22:41 time: 0.3920 data_time: 0.0153 memory: 17007 grad_norm: 5.8607 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5393 loss: 2.5393 2022/07/27 12:08:59 - mmengine - INFO - Epoch(train) [46][740/3757] lr: 8.5355e-03 eta: 2 days, 7:22:33 time: 0.3926 data_time: 0.0151 memory: 17007 grad_norm: 5.8100 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2594 loss: 2.2594 2022/07/27 12:09:07 - mmengine - INFO - Epoch(train) [46][760/3757] lr: 8.5355e-03 eta: 2 days, 7:22:26 time: 0.3942 data_time: 0.0174 memory: 17007 grad_norm: 5.6453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2801 loss: 2.2801 2022/07/27 12:09:15 - mmengine - INFO - Epoch(train) [46][780/3757] lr: 8.5355e-03 eta: 2 days, 7:22:18 time: 0.4002 data_time: 0.0152 memory: 17007 grad_norm: 6.1907 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6011 loss: 2.6011 2022/07/27 12:09:23 - mmengine - INFO - Epoch(train) [46][800/3757] lr: 8.5355e-03 eta: 2 days, 7:22:10 time: 0.3922 data_time: 0.0163 memory: 17007 grad_norm: 5.9392 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2763 loss: 2.2763 2022/07/27 12:09:31 - mmengine - INFO - Epoch(train) [46][820/3757] lr: 8.5355e-03 eta: 2 days, 7:22:02 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 6.3056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2617 loss: 2.2617 2022/07/27 12:09:39 - mmengine - INFO - Epoch(train) [46][840/3757] lr: 8.5355e-03 eta: 2 days, 7:21:54 time: 0.3955 data_time: 0.0184 memory: 17007 grad_norm: 5.8818 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7094 loss: 2.7094 2022/07/27 12:09:47 - mmengine - INFO - Epoch(train) [46][860/3757] lr: 8.5355e-03 eta: 2 days, 7:21:47 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 5.6768 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4547 loss: 2.4547 2022/07/27 12:09:55 - mmengine - INFO - Epoch(train) [46][880/3757] lr: 8.5355e-03 eta: 2 days, 7:21:39 time: 0.4016 data_time: 0.0171 memory: 17007 grad_norm: 5.9466 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2813 loss: 2.2813 2022/07/27 12:10:02 - mmengine - INFO - Epoch(train) [46][900/3757] lr: 8.5355e-03 eta: 2 days, 7:21:31 time: 0.3913 data_time: 0.0146 memory: 17007 grad_norm: 6.0093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5699 loss: 2.5699 2022/07/27 12:10:10 - mmengine - INFO - Epoch(train) [46][920/3757] lr: 8.5355e-03 eta: 2 days, 7:21:23 time: 0.3936 data_time: 0.0163 memory: 17007 grad_norm: 5.7142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2277 loss: 2.2277 2022/07/27 12:10:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:10:18 - mmengine - INFO - Epoch(train) [46][940/3757] lr: 8.5355e-03 eta: 2 days, 7:21:15 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 5.8527 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5654 loss: 2.5654 2022/07/27 12:10:26 - mmengine - INFO - Epoch(train) [46][960/3757] lr: 8.5355e-03 eta: 2 days, 7:21:08 time: 0.3953 data_time: 0.0161 memory: 17007 grad_norm: 6.0239 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3655 loss: 2.3655 2022/07/27 12:10:34 - mmengine - INFO - Epoch(train) [46][980/3757] lr: 8.5355e-03 eta: 2 days, 7:21:00 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 5.8592 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4632 loss: 2.4632 2022/07/27 12:10:42 - mmengine - INFO - Epoch(train) [46][1000/3757] lr: 8.5355e-03 eta: 2 days, 7:20:52 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 5.9444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3180 loss: 2.3180 2022/07/27 12:10:50 - mmengine - INFO - Epoch(train) [46][1020/3757] lr: 8.5355e-03 eta: 2 days, 7:20:44 time: 0.3913 data_time: 0.0137 memory: 17007 grad_norm: 5.8917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4093 loss: 2.4093 2022/07/27 12:10:58 - mmengine - INFO - Epoch(train) [46][1040/3757] lr: 8.5355e-03 eta: 2 days, 7:20:36 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 5.8934 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2884 loss: 2.2884 2022/07/27 12:11:05 - mmengine - INFO - Epoch(train) [46][1060/3757] lr: 8.5355e-03 eta: 2 days, 7:20:28 time: 0.3906 data_time: 0.0142 memory: 17007 grad_norm: 5.9144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2634 loss: 2.2634 2022/07/27 12:11:13 - mmengine - INFO - Epoch(train) [46][1080/3757] lr: 8.5355e-03 eta: 2 days, 7:20:20 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 5.8375 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2761 loss: 2.2761 2022/07/27 12:11:21 - mmengine - INFO - Epoch(train) [46][1100/3757] lr: 8.5355e-03 eta: 2 days, 7:20:12 time: 0.3939 data_time: 0.0132 memory: 17007 grad_norm: 5.9465 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4128 loss: 2.4128 2022/07/27 12:11:29 - mmengine - INFO - Epoch(train) [46][1120/3757] lr: 8.5355e-03 eta: 2 days, 7:20:04 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 5.8761 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4444 loss: 2.4444 2022/07/27 12:11:37 - mmengine - INFO - Epoch(train) [46][1140/3757] lr: 8.5355e-03 eta: 2 days, 7:19:56 time: 0.3951 data_time: 0.0159 memory: 17007 grad_norm: 6.0992 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5292 loss: 2.5292 2022/07/27 12:11:45 - mmengine - INFO - Epoch(train) [46][1160/3757] lr: 8.5355e-03 eta: 2 days, 7:19:49 time: 0.3935 data_time: 0.0172 memory: 17007 grad_norm: 5.9255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2216 loss: 2.2216 2022/07/27 12:11:53 - mmengine - INFO - Epoch(train) [46][1180/3757] lr: 8.5355e-03 eta: 2 days, 7:19:41 time: 0.3914 data_time: 0.0144 memory: 17007 grad_norm: 6.0630 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5625 loss: 2.5625 2022/07/27 12:12:01 - mmengine - INFO - Epoch(train) [46][1200/3757] lr: 8.5355e-03 eta: 2 days, 7:19:33 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 6.0314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4486 loss: 2.4486 2022/07/27 12:12:08 - mmengine - INFO - Epoch(train) [46][1220/3757] lr: 8.5355e-03 eta: 2 days, 7:19:25 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 5.9316 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6425 loss: 2.6425 2022/07/27 12:12:16 - mmengine - INFO - Epoch(train) [46][1240/3757] lr: 8.5355e-03 eta: 2 days, 7:19:17 time: 0.3953 data_time: 0.0170 memory: 17007 grad_norm: 5.7656 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6901 loss: 2.6901 2022/07/27 12:12:24 - mmengine - INFO - Epoch(train) [46][1260/3757] lr: 8.5355e-03 eta: 2 days, 7:19:09 time: 0.3937 data_time: 0.0145 memory: 17007 grad_norm: 5.9384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2094 loss: 2.2094 2022/07/27 12:12:32 - mmengine - INFO - Epoch(train) [46][1280/3757] lr: 8.5355e-03 eta: 2 days, 7:19:01 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 5.8030 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5045 loss: 2.5045 2022/07/27 12:12:40 - mmengine - INFO - Epoch(train) [46][1300/3757] lr: 8.5355e-03 eta: 2 days, 7:18:53 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 6.0535 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6141 loss: 2.6141 2022/07/27 12:12:48 - mmengine - INFO - Epoch(train) [46][1320/3757] lr: 8.5355e-03 eta: 2 days, 7:18:45 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 6.2607 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6164 loss: 2.6164 2022/07/27 12:12:56 - mmengine - INFO - Epoch(train) [46][1340/3757] lr: 8.5355e-03 eta: 2 days, 7:18:37 time: 0.3924 data_time: 0.0165 memory: 17007 grad_norm: 5.9577 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4269 loss: 2.4269 2022/07/27 12:13:04 - mmengine - INFO - Epoch(train) [46][1360/3757] lr: 8.5355e-03 eta: 2 days, 7:18:30 time: 0.3946 data_time: 0.0165 memory: 17007 grad_norm: 5.7001 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6048 loss: 2.6048 2022/07/27 12:13:11 - mmengine - INFO - Epoch(train) [46][1380/3757] lr: 8.5355e-03 eta: 2 days, 7:18:22 time: 0.3913 data_time: 0.0150 memory: 17007 grad_norm: 6.8003 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5504 loss: 2.5504 2022/07/27 12:13:19 - mmengine - INFO - Epoch(train) [46][1400/3757] lr: 8.5355e-03 eta: 2 days, 7:18:14 time: 0.3932 data_time: 0.0176 memory: 17007 grad_norm: 5.9411 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4918 loss: 2.4918 2022/07/27 12:13:27 - mmengine - INFO - Epoch(train) [46][1420/3757] lr: 8.5355e-03 eta: 2 days, 7:18:06 time: 0.3918 data_time: 0.0147 memory: 17007 grad_norm: 5.7275 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3070 loss: 2.3070 2022/07/27 12:13:35 - mmengine - INFO - Epoch(train) [46][1440/3757] lr: 8.5355e-03 eta: 2 days, 7:17:58 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 5.9363 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6187 loss: 2.6187 2022/07/27 12:13:43 - mmengine - INFO - Epoch(train) [46][1460/3757] lr: 8.5355e-03 eta: 2 days, 7:17:50 time: 0.3912 data_time: 0.0149 memory: 17007 grad_norm: 5.8667 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4364 loss: 2.4364 2022/07/27 12:13:51 - mmengine - INFO - Epoch(train) [46][1480/3757] lr: 8.5355e-03 eta: 2 days, 7:17:42 time: 0.3917 data_time: 0.0160 memory: 17007 grad_norm: 5.9810 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4291 loss: 2.4291 2022/07/27 12:13:58 - mmengine - INFO - Epoch(train) [46][1500/3757] lr: 8.5355e-03 eta: 2 days, 7:17:34 time: 0.3924 data_time: 0.0145 memory: 17007 grad_norm: 5.9777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4639 loss: 2.4639 2022/07/27 12:14:07 - mmengine - INFO - Epoch(train) [46][1520/3757] lr: 8.5355e-03 eta: 2 days, 7:17:27 time: 0.4091 data_time: 0.0159 memory: 17007 grad_norm: 5.8820 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2955 loss: 2.2955 2022/07/27 12:14:15 - mmengine - INFO - Epoch(train) [46][1540/3757] lr: 8.5355e-03 eta: 2 days, 7:17:19 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 5.8076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4160 loss: 2.4160 2022/07/27 12:14:22 - mmengine - INFO - Epoch(train) [46][1560/3757] lr: 8.5355e-03 eta: 2 days, 7:17:11 time: 0.3939 data_time: 0.0168 memory: 17007 grad_norm: 5.7990 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5690 loss: 2.5690 2022/07/27 12:14:30 - mmengine - INFO - Epoch(train) [46][1580/3757] lr: 8.5355e-03 eta: 2 days, 7:17:03 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 5.6015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3427 loss: 2.3427 2022/07/27 12:14:38 - mmengine - INFO - Epoch(train) [46][1600/3757] lr: 8.5355e-03 eta: 2 days, 7:16:56 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.8657 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4524 loss: 2.4524 2022/07/27 12:14:46 - mmengine - INFO - Epoch(train) [46][1620/3757] lr: 8.5355e-03 eta: 2 days, 7:16:48 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 5.8804 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4058 loss: 2.4058 2022/07/27 12:14:54 - mmengine - INFO - Epoch(train) [46][1640/3757] lr: 8.5355e-03 eta: 2 days, 7:16:40 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 5.9754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4573 loss: 2.4573 2022/07/27 12:15:02 - mmengine - INFO - Epoch(train) [46][1660/3757] lr: 8.5355e-03 eta: 2 days, 7:16:32 time: 0.3920 data_time: 0.0130 memory: 17007 grad_norm: 6.0029 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2150 loss: 2.2150 2022/07/27 12:15:10 - mmengine - INFO - Epoch(train) [46][1680/3757] lr: 8.5355e-03 eta: 2 days, 7:16:24 time: 0.3973 data_time: 0.0171 memory: 17007 grad_norm: 6.0118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3248 loss: 2.3248 2022/07/27 12:15:18 - mmengine - INFO - Epoch(train) [46][1700/3757] lr: 8.5355e-03 eta: 2 days, 7:16:16 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 5.8299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4551 loss: 2.4551 2022/07/27 12:15:26 - mmengine - INFO - Epoch(train) [46][1720/3757] lr: 8.5355e-03 eta: 2 days, 7:16:09 time: 0.4037 data_time: 0.0168 memory: 17007 grad_norm: 5.8290 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6307 loss: 2.6307 2022/07/27 12:15:33 - mmengine - INFO - Epoch(train) [46][1740/3757] lr: 8.5355e-03 eta: 2 days, 7:16:01 time: 0.3915 data_time: 0.0149 memory: 17007 grad_norm: 5.6221 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6943 loss: 2.6943 2022/07/27 12:15:41 - mmengine - INFO - Epoch(train) [46][1760/3757] lr: 8.5355e-03 eta: 2 days, 7:15:53 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 5.7312 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2614 loss: 2.2614 2022/07/27 12:15:49 - mmengine - INFO - Epoch(train) [46][1780/3757] lr: 8.5355e-03 eta: 2 days, 7:15:46 time: 0.4087 data_time: 0.0160 memory: 17007 grad_norm: 5.7670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7310 loss: 2.7310 2022/07/27 12:15:58 - mmengine - INFO - Epoch(train) [46][1800/3757] lr: 8.5355e-03 eta: 2 days, 7:15:39 time: 0.4046 data_time: 0.0165 memory: 17007 grad_norm: 5.8177 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3083 loss: 2.3083 2022/07/27 12:16:06 - mmengine - INFO - Epoch(train) [46][1820/3757] lr: 8.5355e-03 eta: 2 days, 7:15:31 time: 0.3960 data_time: 0.0155 memory: 17007 grad_norm: 6.0111 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6286 loss: 2.6286 2022/07/27 12:16:13 - mmengine - INFO - Epoch(train) [46][1840/3757] lr: 8.5355e-03 eta: 2 days, 7:15:23 time: 0.3913 data_time: 0.0154 memory: 17007 grad_norm: 5.6133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1379 loss: 2.1379 2022/07/27 12:16:21 - mmengine - INFO - Epoch(train) [46][1860/3757] lr: 8.5355e-03 eta: 2 days, 7:15:15 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 6.0351 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6705 loss: 2.6705 2022/07/27 12:16:29 - mmengine - INFO - Epoch(train) [46][1880/3757] lr: 8.5355e-03 eta: 2 days, 7:15:07 time: 0.3930 data_time: 0.0168 memory: 17007 grad_norm: 5.8884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3755 loss: 2.3755 2022/07/27 12:16:37 - mmengine - INFO - Epoch(train) [46][1900/3757] lr: 8.5355e-03 eta: 2 days, 7:15:00 time: 0.3973 data_time: 0.0149 memory: 17007 grad_norm: 5.8116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6039 loss: 2.6039 2022/07/27 12:16:45 - mmengine - INFO - Epoch(train) [46][1920/3757] lr: 8.5355e-03 eta: 2 days, 7:14:52 time: 0.3947 data_time: 0.0166 memory: 17007 grad_norm: 5.7392 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2664 loss: 2.2664 2022/07/27 12:16:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:16:53 - mmengine - INFO - Epoch(train) [46][1940/3757] lr: 8.5355e-03 eta: 2 days, 7:14:44 time: 0.3917 data_time: 0.0151 memory: 17007 grad_norm: 5.8203 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4993 loss: 2.4993 2022/07/27 12:17:01 - mmengine - INFO - Epoch(train) [46][1960/3757] lr: 8.5355e-03 eta: 2 days, 7:14:36 time: 0.3948 data_time: 0.0162 memory: 17007 grad_norm: 5.5787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2291 loss: 2.2291 2022/07/27 12:17:09 - mmengine - INFO - Epoch(train) [46][1980/3757] lr: 8.5355e-03 eta: 2 days, 7:14:28 time: 0.3936 data_time: 0.0169 memory: 17007 grad_norm: 5.8778 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6838 loss: 2.6838 2022/07/27 12:17:16 - mmengine - INFO - Epoch(train) [46][2000/3757] lr: 8.5355e-03 eta: 2 days, 7:14:20 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 5.9722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5483 loss: 2.5483 2022/07/27 12:17:24 - mmengine - INFO - Epoch(train) [46][2020/3757] lr: 8.5355e-03 eta: 2 days, 7:14:12 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 5.7292 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4530 loss: 2.4530 2022/07/27 12:17:32 - mmengine - INFO - Epoch(train) [46][2040/3757] lr: 8.5355e-03 eta: 2 days, 7:14:04 time: 0.3914 data_time: 0.0145 memory: 17007 grad_norm: 5.8977 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5724 loss: 2.5724 2022/07/27 12:17:40 - mmengine - INFO - Epoch(train) [46][2060/3757] lr: 8.5355e-03 eta: 2 days, 7:13:57 time: 0.4020 data_time: 0.0155 memory: 17007 grad_norm: 6.0056 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6413 loss: 2.6413 2022/07/27 12:17:48 - mmengine - INFO - Epoch(train) [46][2080/3757] lr: 8.5355e-03 eta: 2 days, 7:13:49 time: 0.3955 data_time: 0.0171 memory: 17007 grad_norm: 6.1259 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3362 loss: 2.3362 2022/07/27 12:17:56 - mmengine - INFO - Epoch(train) [46][2100/3757] lr: 8.5355e-03 eta: 2 days, 7:13:41 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 5.8785 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4249 loss: 2.4249 2022/07/27 12:18:04 - mmengine - INFO - Epoch(train) [46][2120/3757] lr: 8.5355e-03 eta: 2 days, 7:13:33 time: 0.3918 data_time: 0.0158 memory: 17007 grad_norm: 5.9577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6953 loss: 2.6953 2022/07/27 12:18:12 - mmengine - INFO - Epoch(train) [46][2140/3757] lr: 8.5355e-03 eta: 2 days, 7:13:25 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 5.7946 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.5905 loss: 2.5905 2022/07/27 12:18:20 - mmengine - INFO - Epoch(train) [46][2160/3757] lr: 8.5355e-03 eta: 2 days, 7:13:17 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 5.5423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5116 loss: 2.5116 2022/07/27 12:18:27 - mmengine - INFO - Epoch(train) [46][2180/3757] lr: 8.5355e-03 eta: 2 days, 7:13:09 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.7017 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6136 loss: 2.6136 2022/07/27 12:18:35 - mmengine - INFO - Epoch(train) [46][2200/3757] lr: 8.5355e-03 eta: 2 days, 7:13:02 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 5.8461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4486 loss: 2.4486 2022/07/27 12:18:43 - mmengine - INFO - Epoch(train) [46][2220/3757] lr: 8.5355e-03 eta: 2 days, 7:12:54 time: 0.3919 data_time: 0.0152 memory: 17007 grad_norm: 5.8154 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3229 loss: 2.3229 2022/07/27 12:18:51 - mmengine - INFO - Epoch(train) [46][2240/3757] lr: 8.5355e-03 eta: 2 days, 7:12:46 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 5.7143 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4867 loss: 2.4867 2022/07/27 12:18:59 - mmengine - INFO - Epoch(train) [46][2260/3757] lr: 8.5355e-03 eta: 2 days, 7:12:38 time: 0.3904 data_time: 0.0144 memory: 17007 grad_norm: 5.9305 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5473 loss: 2.5473 2022/07/27 12:19:07 - mmengine - INFO - Epoch(train) [46][2280/3757] lr: 8.5355e-03 eta: 2 days, 7:12:30 time: 0.3955 data_time: 0.0176 memory: 17007 grad_norm: 5.9626 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4917 loss: 2.4917 2022/07/27 12:19:15 - mmengine - INFO - Epoch(train) [46][2300/3757] lr: 8.5355e-03 eta: 2 days, 7:12:22 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 5.8342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2717 loss: 2.2717 2022/07/27 12:19:22 - mmengine - INFO - Epoch(train) [46][2320/3757] lr: 8.5355e-03 eta: 2 days, 7:12:14 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 5.7955 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6529 loss: 2.6529 2022/07/27 12:19:30 - mmengine - INFO - Epoch(train) [46][2340/3757] lr: 8.5355e-03 eta: 2 days, 7:12:06 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.8779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4671 loss: 2.4671 2022/07/27 12:19:38 - mmengine - INFO - Epoch(train) [46][2360/3757] lr: 8.5355e-03 eta: 2 days, 7:11:59 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 5.8323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8274 loss: 2.8274 2022/07/27 12:19:46 - mmengine - INFO - Epoch(train) [46][2380/3757] lr: 8.5355e-03 eta: 2 days, 7:11:51 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 6.0557 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.5098 loss: 2.5098 2022/07/27 12:19:54 - mmengine - INFO - Epoch(train) [46][2400/3757] lr: 8.5355e-03 eta: 2 days, 7:11:43 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.7602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1492 loss: 2.1492 2022/07/27 12:20:02 - mmengine - INFO - Epoch(train) [46][2420/3757] lr: 8.5355e-03 eta: 2 days, 7:11:35 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.8219 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3370 loss: 2.3370 2022/07/27 12:20:10 - mmengine - INFO - Epoch(train) [46][2440/3757] lr: 8.5355e-03 eta: 2 days, 7:11:27 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 5.8882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5175 loss: 2.5175 2022/07/27 12:20:18 - mmengine - INFO - Epoch(train) [46][2460/3757] lr: 8.5355e-03 eta: 2 days, 7:11:19 time: 0.3920 data_time: 0.0142 memory: 17007 grad_norm: 5.7883 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4700 loss: 2.4700 2022/07/27 12:20:25 - mmengine - INFO - Epoch(train) [46][2480/3757] lr: 8.5355e-03 eta: 2 days, 7:11:11 time: 0.3939 data_time: 0.0163 memory: 17007 grad_norm: 5.8714 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6027 loss: 2.6027 2022/07/27 12:20:33 - mmengine - INFO - Epoch(train) [46][2500/3757] lr: 8.5355e-03 eta: 2 days, 7:11:03 time: 0.3908 data_time: 0.0149 memory: 17007 grad_norm: 5.7976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4498 loss: 2.4498 2022/07/27 12:20:41 - mmengine - INFO - Epoch(train) [46][2520/3757] lr: 8.5355e-03 eta: 2 days, 7:10:55 time: 0.3934 data_time: 0.0162 memory: 17007 grad_norm: 5.8232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5460 loss: 2.5460 2022/07/27 12:20:49 - mmengine - INFO - Epoch(train) [46][2540/3757] lr: 8.5355e-03 eta: 2 days, 7:10:47 time: 0.3937 data_time: 0.0164 memory: 17007 grad_norm: 6.1139 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5271 loss: 2.5271 2022/07/27 12:20:57 - mmengine - INFO - Epoch(train) [46][2560/3757] lr: 8.5355e-03 eta: 2 days, 7:10:39 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 5.7975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5093 loss: 2.5093 2022/07/27 12:21:05 - mmengine - INFO - Epoch(train) [46][2580/3757] lr: 8.5355e-03 eta: 2 days, 7:10:31 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 5.8114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2192 loss: 2.2192 2022/07/27 12:21:13 - mmengine - INFO - Epoch(train) [46][2600/3757] lr: 8.5355e-03 eta: 2 days, 7:10:24 time: 0.3925 data_time: 0.0161 memory: 17007 grad_norm: 5.7372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5594 loss: 2.5594 2022/07/27 12:21:20 - mmengine - INFO - Epoch(train) [46][2620/3757] lr: 8.5355e-03 eta: 2 days, 7:10:16 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 6.0524 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4510 loss: 2.4510 2022/07/27 12:21:28 - mmengine - INFO - Epoch(train) [46][2640/3757] lr: 8.5355e-03 eta: 2 days, 7:10:08 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 6.1196 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8566 loss: 2.8566 2022/07/27 12:21:36 - mmengine - INFO - Epoch(train) [46][2660/3757] lr: 8.5355e-03 eta: 2 days, 7:10:00 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 5.9659 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5862 loss: 2.5862 2022/07/27 12:21:44 - mmengine - INFO - Epoch(train) [46][2680/3757] lr: 8.5355e-03 eta: 2 days, 7:09:52 time: 0.3926 data_time: 0.0164 memory: 17007 grad_norm: 6.0234 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4356 loss: 2.4356 2022/07/27 12:21:52 - mmengine - INFO - Epoch(train) [46][2700/3757] lr: 8.5355e-03 eta: 2 days, 7:09:44 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 5.8518 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5861 loss: 2.5861 2022/07/27 12:22:00 - mmengine - INFO - Epoch(train) [46][2720/3757] lr: 8.5355e-03 eta: 2 days, 7:09:36 time: 0.3945 data_time: 0.0166 memory: 17007 grad_norm: 5.7101 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4288 loss: 2.4288 2022/07/27 12:22:08 - mmengine - INFO - Epoch(train) [46][2740/3757] lr: 8.5355e-03 eta: 2 days, 7:09:29 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 5.7707 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6211 loss: 2.6211 2022/07/27 12:22:16 - mmengine - INFO - Epoch(train) [46][2760/3757] lr: 8.5355e-03 eta: 2 days, 7:09:21 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 5.9391 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4690 loss: 2.4690 2022/07/27 12:22:23 - mmengine - INFO - Epoch(train) [46][2780/3757] lr: 8.5355e-03 eta: 2 days, 7:09:13 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 6.0242 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5502 loss: 2.5502 2022/07/27 12:22:31 - mmengine - INFO - Epoch(train) [46][2800/3757] lr: 8.5355e-03 eta: 2 days, 7:09:05 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 5.9660 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4700 loss: 2.4700 2022/07/27 12:22:39 - mmengine - INFO - Epoch(train) [46][2820/3757] lr: 8.5355e-03 eta: 2 days, 7:08:57 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 5.7912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2153 loss: 2.2153 2022/07/27 12:22:47 - mmengine - INFO - Epoch(train) [46][2840/3757] lr: 8.5355e-03 eta: 2 days, 7:08:49 time: 0.3946 data_time: 0.0159 memory: 17007 grad_norm: 5.9699 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1313 loss: 2.1313 2022/07/27 12:22:55 - mmengine - INFO - Epoch(train) [46][2860/3757] lr: 8.5355e-03 eta: 2 days, 7:08:41 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 6.0957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7984 loss: 2.7984 2022/07/27 12:23:03 - mmengine - INFO - Epoch(train) [46][2880/3757] lr: 8.5355e-03 eta: 2 days, 7:08:33 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 5.8881 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8181 loss: 2.8181 2022/07/27 12:23:11 - mmengine - INFO - Epoch(train) [46][2900/3757] lr: 8.5355e-03 eta: 2 days, 7:08:25 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 6.0697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2933 loss: 2.2933 2022/07/27 12:23:19 - mmengine - INFO - Epoch(train) [46][2920/3757] lr: 8.5355e-03 eta: 2 days, 7:08:17 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 5.8345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4499 loss: 2.4499 2022/07/27 12:23:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:23:27 - mmengine - INFO - Epoch(train) [46][2940/3757] lr: 8.5355e-03 eta: 2 days, 7:08:10 time: 0.4030 data_time: 0.0147 memory: 17007 grad_norm: 6.0006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1255 loss: 2.1255 2022/07/27 12:23:35 - mmengine - INFO - Epoch(train) [46][2960/3757] lr: 8.5355e-03 eta: 2 days, 7:08:02 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 5.8925 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5421 loss: 2.5421 2022/07/27 12:23:42 - mmengine - INFO - Epoch(train) [46][2980/3757] lr: 8.5355e-03 eta: 2 days, 7:07:54 time: 0.3935 data_time: 0.0136 memory: 17007 grad_norm: 5.7926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8341 loss: 2.8341 2022/07/27 12:23:50 - mmengine - INFO - Epoch(train) [46][3000/3757] lr: 8.5355e-03 eta: 2 days, 7:07:46 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 5.7581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6058 loss: 2.6058 2022/07/27 12:23:58 - mmengine - INFO - Epoch(train) [46][3020/3757] lr: 8.5355e-03 eta: 2 days, 7:07:39 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 5.8485 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6412 loss: 2.6412 2022/07/27 12:24:06 - mmengine - INFO - Epoch(train) [46][3040/3757] lr: 8.5355e-03 eta: 2 days, 7:07:31 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 5.6861 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2831 loss: 2.2831 2022/07/27 12:24:14 - mmengine - INFO - Epoch(train) [46][3060/3757] lr: 8.5355e-03 eta: 2 days, 7:07:23 time: 0.3912 data_time: 0.0151 memory: 17007 grad_norm: 5.7425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4148 loss: 2.4148 2022/07/27 12:24:22 - mmengine - INFO - Epoch(train) [46][3080/3757] lr: 8.5355e-03 eta: 2 days, 7:07:15 time: 0.3945 data_time: 0.0163 memory: 17007 grad_norm: 5.7018 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4411 loss: 2.4411 2022/07/27 12:24:30 - mmengine - INFO - Epoch(train) [46][3100/3757] lr: 8.5355e-03 eta: 2 days, 7:07:07 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 5.8112 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2287 loss: 2.2287 2022/07/27 12:24:38 - mmengine - INFO - Epoch(train) [46][3120/3757] lr: 8.5355e-03 eta: 2 days, 7:07:00 time: 0.4128 data_time: 0.0169 memory: 17007 grad_norm: 5.7561 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4045 loss: 2.4045 2022/07/27 12:24:46 - mmengine - INFO - Epoch(train) [46][3140/3757] lr: 8.5355e-03 eta: 2 days, 7:06:52 time: 0.3937 data_time: 0.0155 memory: 17007 grad_norm: 5.9432 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6396 loss: 2.6396 2022/07/27 12:24:54 - mmengine - INFO - Epoch(train) [46][3160/3757] lr: 8.5355e-03 eta: 2 days, 7:06:44 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 5.7604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3694 loss: 2.3694 2022/07/27 12:25:01 - mmengine - INFO - Epoch(train) [46][3180/3757] lr: 8.5355e-03 eta: 2 days, 7:06:36 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 5.7172 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6549 loss: 2.6549 2022/07/27 12:25:09 - mmengine - INFO - Epoch(train) [46][3200/3757] lr: 8.5355e-03 eta: 2 days, 7:06:29 time: 0.3950 data_time: 0.0159 memory: 17007 grad_norm: 5.7351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4521 loss: 2.4521 2022/07/27 12:25:17 - mmengine - INFO - Epoch(train) [46][3220/3757] lr: 8.5355e-03 eta: 2 days, 7:06:21 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 5.7999 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4445 loss: 2.4445 2022/07/27 12:25:25 - mmengine - INFO - Epoch(train) [46][3240/3757] lr: 8.5355e-03 eta: 2 days, 7:06:13 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 5.7960 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6513 loss: 2.6513 2022/07/27 12:25:33 - mmengine - INFO - Epoch(train) [46][3260/3757] lr: 8.5355e-03 eta: 2 days, 7:06:05 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.6693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1109 loss: 2.1109 2022/07/27 12:25:41 - mmengine - INFO - Epoch(train) [46][3280/3757] lr: 8.5355e-03 eta: 2 days, 7:05:57 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 5.7515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5539 loss: 2.5539 2022/07/27 12:25:49 - mmengine - INFO - Epoch(train) [46][3300/3757] lr: 8.5355e-03 eta: 2 days, 7:05:49 time: 0.3961 data_time: 0.0157 memory: 17007 grad_norm: 5.9722 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4086 loss: 2.4086 2022/07/27 12:25:57 - mmengine - INFO - Epoch(train) [46][3320/3757] lr: 8.5355e-03 eta: 2 days, 7:05:43 time: 0.4098 data_time: 0.0206 memory: 17007 grad_norm: 5.9014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5461 loss: 2.5461 2022/07/27 12:26:05 - mmengine - INFO - Epoch(train) [46][3340/3757] lr: 8.5355e-03 eta: 2 days, 7:05:35 time: 0.3951 data_time: 0.0149 memory: 17007 grad_norm: 5.8764 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9386 loss: 2.9386 2022/07/27 12:26:13 - mmengine - INFO - Epoch(train) [46][3360/3757] lr: 8.5355e-03 eta: 2 days, 7:05:27 time: 0.3933 data_time: 0.0167 memory: 17007 grad_norm: 5.7757 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3996 loss: 2.3996 2022/07/27 12:26:21 - mmengine - INFO - Epoch(train) [46][3380/3757] lr: 8.5355e-03 eta: 2 days, 7:05:19 time: 0.3973 data_time: 0.0151 memory: 17007 grad_norm: 5.8938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4100 loss: 2.4100 2022/07/27 12:26:29 - mmengine - INFO - Epoch(train) [46][3400/3757] lr: 8.5355e-03 eta: 2 days, 7:05:11 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 6.0622 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5303 loss: 2.5303 2022/07/27 12:26:37 - mmengine - INFO - Epoch(train) [46][3420/3757] lr: 8.5355e-03 eta: 2 days, 7:05:04 time: 0.4087 data_time: 0.0160 memory: 17007 grad_norm: 5.5846 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3902 loss: 2.3902 2022/07/27 12:26:45 - mmengine - INFO - Epoch(train) [46][3440/3757] lr: 8.5355e-03 eta: 2 days, 7:04:56 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.8000 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3821 loss: 2.3821 2022/07/27 12:26:53 - mmengine - INFO - Epoch(train) [46][3460/3757] lr: 8.5355e-03 eta: 2 days, 7:04:48 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 5.9211 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7222 loss: 2.7222 2022/07/27 12:27:00 - mmengine - INFO - Epoch(train) [46][3480/3757] lr: 8.5355e-03 eta: 2 days, 7:04:41 time: 0.3941 data_time: 0.0159 memory: 17007 grad_norm: 6.0586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7145 loss: 2.7145 2022/07/27 12:27:08 - mmengine - INFO - Epoch(train) [46][3500/3757] lr: 8.5355e-03 eta: 2 days, 7:04:33 time: 0.3941 data_time: 0.0161 memory: 17007 grad_norm: 5.9592 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4118 loss: 2.4118 2022/07/27 12:27:16 - mmengine - INFO - Epoch(train) [46][3520/3757] lr: 8.5355e-03 eta: 2 days, 7:04:26 time: 0.4081 data_time: 0.0160 memory: 17007 grad_norm: 5.8570 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6473 loss: 2.6473 2022/07/27 12:27:24 - mmengine - INFO - Epoch(train) [46][3540/3757] lr: 8.5355e-03 eta: 2 days, 7:04:18 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 5.8883 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5999 loss: 2.5999 2022/07/27 12:27:32 - mmengine - INFO - Epoch(train) [46][3560/3757] lr: 8.5355e-03 eta: 2 days, 7:04:10 time: 0.3939 data_time: 0.0173 memory: 17007 grad_norm: 5.8299 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3561 loss: 2.3561 2022/07/27 12:27:40 - mmengine - INFO - Epoch(train) [46][3580/3757] lr: 8.5355e-03 eta: 2 days, 7:04:02 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 5.7989 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6785 loss: 2.6785 2022/07/27 12:27:48 - mmengine - INFO - Epoch(train) [46][3600/3757] lr: 8.5355e-03 eta: 2 days, 7:03:54 time: 0.3950 data_time: 0.0168 memory: 17007 grad_norm: 5.6485 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4120 loss: 2.4120 2022/07/27 12:27:56 - mmengine - INFO - Epoch(train) [46][3620/3757] lr: 8.5355e-03 eta: 2 days, 7:03:46 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 5.8800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3902 loss: 2.3902 2022/07/27 12:28:04 - mmengine - INFO - Epoch(train) [46][3640/3757] lr: 8.5355e-03 eta: 2 days, 7:03:39 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 5.8905 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4582 loss: 2.4582 2022/07/27 12:28:12 - mmengine - INFO - Epoch(train) [46][3660/3757] lr: 8.5355e-03 eta: 2 days, 7:03:31 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 5.7592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5378 loss: 2.5378 2022/07/27 12:28:19 - mmengine - INFO - Epoch(train) [46][3680/3757] lr: 8.5355e-03 eta: 2 days, 7:03:23 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 6.0419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7172 loss: 2.7172 2022/07/27 12:28:27 - mmengine - INFO - Epoch(train) [46][3700/3757] lr: 8.5355e-03 eta: 2 days, 7:03:15 time: 0.4004 data_time: 0.0156 memory: 17007 grad_norm: 5.6016 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1777 loss: 2.1777 2022/07/27 12:28:35 - mmengine - INFO - Epoch(train) [46][3720/3757] lr: 8.5355e-03 eta: 2 days, 7:03:07 time: 0.3942 data_time: 0.0168 memory: 17007 grad_norm: 5.9558 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6747 loss: 2.6747 2022/07/27 12:28:43 - mmengine - INFO - Epoch(train) [46][3740/3757] lr: 8.5355e-03 eta: 2 days, 7:02:59 time: 0.3905 data_time: 0.0149 memory: 17007 grad_norm: 5.7841 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4443 loss: 2.4443 2022/07/27 12:28:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:28:50 - mmengine - INFO - Epoch(train) [46][3757/3757] lr: 8.5355e-03 eta: 2 days, 7:02:59 time: 0.4056 data_time: 0.0168 memory: 17007 grad_norm: 5.9882 top1_acc: 0.0000 top5_acc: 0.4286 loss_cls: 2.5859 loss: 2.5859 2022/07/27 12:28:50 - mmengine - INFO - Saving checkpoint at 46 epochs 2022/07/27 12:29:01 - mmengine - INFO - Epoch(train) [47][20/3757] lr: 8.4733e-03 eta: 2 days, 7:02:28 time: 0.4387 data_time: 0.0658 memory: 17007 grad_norm: 5.8601 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4184 loss: 2.4184 2022/07/27 12:29:09 - mmengine - INFO - Epoch(train) [47][40/3757] lr: 8.4733e-03 eta: 2 days, 7:02:21 time: 0.4068 data_time: 0.0175 memory: 17007 grad_norm: 6.0883 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5649 loss: 2.5649 2022/07/27 12:29:17 - mmengine - INFO - Epoch(train) [47][60/3757] lr: 8.4733e-03 eta: 2 days, 7:02:13 time: 0.3908 data_time: 0.0152 memory: 17007 grad_norm: 5.9751 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2489 loss: 2.2489 2022/07/27 12:29:25 - mmengine - INFO - Epoch(train) [47][80/3757] lr: 8.4733e-03 eta: 2 days, 7:02:05 time: 0.3908 data_time: 0.0145 memory: 17007 grad_norm: 5.7451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4354 loss: 2.4354 2022/07/27 12:29:33 - mmengine - INFO - Epoch(train) [47][100/3757] lr: 8.4733e-03 eta: 2 days, 7:01:57 time: 0.3996 data_time: 0.0160 memory: 17007 grad_norm: 6.0110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4126 loss: 2.4126 2022/07/27 12:29:41 - mmengine - INFO - Epoch(train) [47][120/3757] lr: 8.4733e-03 eta: 2 days, 7:01:50 time: 0.4046 data_time: 0.0154 memory: 17007 grad_norm: 5.7041 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2158 loss: 2.2158 2022/07/27 12:29:49 - mmengine - INFO - Epoch(train) [47][140/3757] lr: 8.4733e-03 eta: 2 days, 7:01:42 time: 0.3957 data_time: 0.0161 memory: 17007 grad_norm: 5.8570 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2108 loss: 2.2108 2022/07/27 12:29:57 - mmengine - INFO - Epoch(train) [47][160/3757] lr: 8.4733e-03 eta: 2 days, 7:01:34 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 5.8478 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4853 loss: 2.4853 2022/07/27 12:30:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:30:05 - mmengine - INFO - Epoch(train) [47][180/3757] lr: 8.4733e-03 eta: 2 days, 7:01:26 time: 0.3918 data_time: 0.0157 memory: 17007 grad_norm: 5.9166 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1690 loss: 2.1690 2022/07/27 12:30:12 - mmengine - INFO - Epoch(train) [47][200/3757] lr: 8.4733e-03 eta: 2 days, 7:01:19 time: 0.3941 data_time: 0.0166 memory: 17007 grad_norm: 6.0131 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6204 loss: 2.6204 2022/07/27 12:30:20 - mmengine - INFO - Epoch(train) [47][220/3757] lr: 8.4733e-03 eta: 2 days, 7:01:11 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 5.7073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3805 loss: 2.3805 2022/07/27 12:30:28 - mmengine - INFO - Epoch(train) [47][240/3757] lr: 8.4733e-03 eta: 2 days, 7:01:03 time: 0.3974 data_time: 0.0166 memory: 17007 grad_norm: 5.7771 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8557 loss: 2.8557 2022/07/27 12:30:36 - mmengine - INFO - Epoch(train) [47][260/3757] lr: 8.4733e-03 eta: 2 days, 7:00:55 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 5.7925 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4625 loss: 2.4625 2022/07/27 12:30:44 - mmengine - INFO - Epoch(train) [47][280/3757] lr: 8.4733e-03 eta: 2 days, 7:00:47 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 5.6492 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0742 loss: 2.0742 2022/07/27 12:30:52 - mmengine - INFO - Epoch(train) [47][300/3757] lr: 8.4733e-03 eta: 2 days, 7:00:39 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 5.6120 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0894 loss: 2.0894 2022/07/27 12:31:00 - mmengine - INFO - Epoch(train) [47][320/3757] lr: 8.4733e-03 eta: 2 days, 7:00:32 time: 0.3923 data_time: 0.0149 memory: 17007 grad_norm: 5.7646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2026 loss: 2.2026 2022/07/27 12:31:08 - mmengine - INFO - Epoch(train) [47][340/3757] lr: 8.4733e-03 eta: 2 days, 7:00:24 time: 0.3946 data_time: 0.0150 memory: 17007 grad_norm: 5.9118 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3844 loss: 2.3844 2022/07/27 12:31:15 - mmengine - INFO - Epoch(train) [47][360/3757] lr: 8.4733e-03 eta: 2 days, 7:00:16 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 5.8541 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4408 loss: 2.4408 2022/07/27 12:31:23 - mmengine - INFO - Epoch(train) [47][380/3757] lr: 8.4733e-03 eta: 2 days, 7:00:08 time: 0.3919 data_time: 0.0145 memory: 17007 grad_norm: 5.9804 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5330 loss: 2.5330 2022/07/27 12:31:31 - mmengine - INFO - Epoch(train) [47][400/3757] lr: 8.4733e-03 eta: 2 days, 7:00:00 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 5.9792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4308 loss: 2.4308 2022/07/27 12:31:39 - mmengine - INFO - Epoch(train) [47][420/3757] lr: 8.4733e-03 eta: 2 days, 6:59:52 time: 0.3926 data_time: 0.0144 memory: 17007 grad_norm: 5.9365 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2311 loss: 2.2311 2022/07/27 12:31:47 - mmengine - INFO - Epoch(train) [47][440/3757] lr: 8.4733e-03 eta: 2 days, 6:59:44 time: 0.3944 data_time: 0.0169 memory: 17007 grad_norm: 5.9155 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8713 loss: 2.8713 2022/07/27 12:31:55 - mmengine - INFO - Epoch(train) [47][460/3757] lr: 8.4733e-03 eta: 2 days, 6:59:36 time: 0.3917 data_time: 0.0151 memory: 17007 grad_norm: 5.7314 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2814 loss: 2.2814 2022/07/27 12:32:03 - mmengine - INFO - Epoch(train) [47][480/3757] lr: 8.4733e-03 eta: 2 days, 6:59:28 time: 0.3948 data_time: 0.0155 memory: 17007 grad_norm: 5.9674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6366 loss: 2.6366 2022/07/27 12:32:11 - mmengine - INFO - Epoch(train) [47][500/3757] lr: 8.4733e-03 eta: 2 days, 6:59:21 time: 0.3971 data_time: 0.0165 memory: 17007 grad_norm: 5.6540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2547 loss: 2.2547 2022/07/27 12:32:19 - mmengine - INFO - Epoch(train) [47][520/3757] lr: 8.4733e-03 eta: 2 days, 6:59:13 time: 0.4046 data_time: 0.0168 memory: 17007 grad_norm: 5.9568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3615 loss: 2.3615 2022/07/27 12:32:27 - mmengine - INFO - Epoch(train) [47][540/3757] lr: 8.4733e-03 eta: 2 days, 6:59:05 time: 0.3927 data_time: 0.0150 memory: 17007 grad_norm: 5.7377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4051 loss: 2.4051 2022/07/27 12:32:34 - mmengine - INFO - Epoch(train) [47][560/3757] lr: 8.4733e-03 eta: 2 days, 6:58:57 time: 0.3919 data_time: 0.0157 memory: 17007 grad_norm: 6.2664 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5752 loss: 2.5752 2022/07/27 12:32:42 - mmengine - INFO - Epoch(train) [47][580/3757] lr: 8.4733e-03 eta: 2 days, 6:58:50 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 5.9308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4328 loss: 2.4328 2022/07/27 12:32:50 - mmengine - INFO - Epoch(train) [47][600/3757] lr: 8.4733e-03 eta: 2 days, 6:58:42 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 5.9049 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1641 loss: 2.1641 2022/07/27 12:32:58 - mmengine - INFO - Epoch(train) [47][620/3757] lr: 8.4733e-03 eta: 2 days, 6:58:34 time: 0.3967 data_time: 0.0145 memory: 17007 grad_norm: 6.0567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0464 loss: 2.0464 2022/07/27 12:33:06 - mmengine - INFO - Epoch(train) [47][640/3757] lr: 8.4733e-03 eta: 2 days, 6:58:26 time: 0.3962 data_time: 0.0167 memory: 17007 grad_norm: 6.0397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3246 loss: 2.3246 2022/07/27 12:33:14 - mmengine - INFO - Epoch(train) [47][660/3757] lr: 8.4733e-03 eta: 2 days, 6:58:18 time: 0.3909 data_time: 0.0146 memory: 17007 grad_norm: 6.0901 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4887 loss: 2.4887 2022/07/27 12:33:22 - mmengine - INFO - Epoch(train) [47][680/3757] lr: 8.4733e-03 eta: 2 days, 6:58:12 time: 0.4149 data_time: 0.0156 memory: 17007 grad_norm: 5.9872 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5216 loss: 2.5216 2022/07/27 12:33:30 - mmengine - INFO - Epoch(train) [47][700/3757] lr: 8.4733e-03 eta: 2 days, 6:58:04 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 5.8817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9654 loss: 1.9654 2022/07/27 12:33:38 - mmengine - INFO - Epoch(train) [47][720/3757] lr: 8.4733e-03 eta: 2 days, 6:57:56 time: 0.3955 data_time: 0.0164 memory: 17007 grad_norm: 5.9444 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3027 loss: 2.3027 2022/07/27 12:33:46 - mmengine - INFO - Epoch(train) [47][740/3757] lr: 8.4733e-03 eta: 2 days, 6:57:48 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 6.1179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6778 loss: 2.6778 2022/07/27 12:33:54 - mmengine - INFO - Epoch(train) [47][760/3757] lr: 8.4733e-03 eta: 2 days, 6:57:40 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.9326 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4291 loss: 2.4291 2022/07/27 12:34:02 - mmengine - INFO - Epoch(train) [47][780/3757] lr: 8.4733e-03 eta: 2 days, 6:57:32 time: 0.3966 data_time: 0.0160 memory: 17007 grad_norm: 5.8140 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3743 loss: 2.3743 2022/07/27 12:34:09 - mmengine - INFO - Epoch(train) [47][800/3757] lr: 8.4733e-03 eta: 2 days, 6:57:25 time: 0.3933 data_time: 0.0170 memory: 17007 grad_norm: 5.8645 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6385 loss: 2.6385 2022/07/27 12:34:17 - mmengine - INFO - Epoch(train) [47][820/3757] lr: 8.4733e-03 eta: 2 days, 6:57:17 time: 0.3967 data_time: 0.0165 memory: 17007 grad_norm: 6.0381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2857 loss: 2.2857 2022/07/27 12:34:25 - mmengine - INFO - Epoch(train) [47][840/3757] lr: 8.4733e-03 eta: 2 days, 6:57:09 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 5.9870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6688 loss: 2.6688 2022/07/27 12:34:33 - mmengine - INFO - Epoch(train) [47][860/3757] lr: 8.4733e-03 eta: 2 days, 6:57:01 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 5.8344 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4380 loss: 2.4380 2022/07/27 12:34:41 - mmengine - INFO - Epoch(train) [47][880/3757] lr: 8.4733e-03 eta: 2 days, 6:56:54 time: 0.4014 data_time: 0.0167 memory: 17007 grad_norm: 5.8602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6334 loss: 2.6334 2022/07/27 12:34:49 - mmengine - INFO - Epoch(train) [47][900/3757] lr: 8.4733e-03 eta: 2 days, 6:56:46 time: 0.3924 data_time: 0.0148 memory: 17007 grad_norm: 5.9150 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9727 loss: 1.9727 2022/07/27 12:34:57 - mmengine - INFO - Epoch(train) [47][920/3757] lr: 8.4733e-03 eta: 2 days, 6:56:38 time: 0.4002 data_time: 0.0169 memory: 17007 grad_norm: 6.0687 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2890 loss: 2.2890 2022/07/27 12:35:05 - mmengine - INFO - Epoch(train) [47][940/3757] lr: 8.4733e-03 eta: 2 days, 6:56:30 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 6.1720 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4489 loss: 2.4489 2022/07/27 12:35:13 - mmengine - INFO - Epoch(train) [47][960/3757] lr: 8.4733e-03 eta: 2 days, 6:56:23 time: 0.3968 data_time: 0.0165 memory: 17007 grad_norm: 7.4971 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4152 loss: 2.4152 2022/07/27 12:35:21 - mmengine - INFO - Epoch(train) [47][980/3757] lr: 8.4733e-03 eta: 2 days, 6:56:15 time: 0.3976 data_time: 0.0149 memory: 17007 grad_norm: 5.9230 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4125 loss: 2.4125 2022/07/27 12:35:29 - mmengine - INFO - Epoch(train) [47][1000/3757] lr: 8.4733e-03 eta: 2 days, 6:56:07 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 6.0718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1470 loss: 2.1470 2022/07/27 12:35:37 - mmengine - INFO - Epoch(train) [47][1020/3757] lr: 8.4733e-03 eta: 2 days, 6:56:00 time: 0.4013 data_time: 0.0164 memory: 17007 grad_norm: 5.8595 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2835 loss: 2.2835 2022/07/27 12:35:45 - mmengine - INFO - Epoch(train) [47][1040/3757] lr: 8.4733e-03 eta: 2 days, 6:55:52 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 5.9308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6010 loss: 2.6010 2022/07/27 12:35:52 - mmengine - INFO - Epoch(train) [47][1060/3757] lr: 8.4733e-03 eta: 2 days, 6:55:44 time: 0.3921 data_time: 0.0163 memory: 17007 grad_norm: 5.8448 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1853 loss: 2.1853 2022/07/27 12:36:00 - mmengine - INFO - Epoch(train) [47][1080/3757] lr: 8.4733e-03 eta: 2 days, 6:55:36 time: 0.3961 data_time: 0.0155 memory: 17007 grad_norm: 5.9509 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4896 loss: 2.4896 2022/07/27 12:36:08 - mmengine - INFO - Epoch(train) [47][1100/3757] lr: 8.4733e-03 eta: 2 days, 6:55:28 time: 0.3964 data_time: 0.0159 memory: 17007 grad_norm: 5.8990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4235 loss: 2.4235 2022/07/27 12:36:16 - mmengine - INFO - Epoch(train) [47][1120/3757] lr: 8.4733e-03 eta: 2 days, 6:55:21 time: 0.4010 data_time: 0.0156 memory: 17007 grad_norm: 6.0878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1220 loss: 2.1220 2022/07/27 12:36:24 - mmengine - INFO - Epoch(train) [47][1140/3757] lr: 8.4733e-03 eta: 2 days, 6:55:13 time: 0.3907 data_time: 0.0144 memory: 17007 grad_norm: 5.9995 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4033 loss: 2.4033 2022/07/27 12:36:32 - mmengine - INFO - Epoch(train) [47][1160/3757] lr: 8.4733e-03 eta: 2 days, 6:55:05 time: 0.3960 data_time: 0.0164 memory: 17007 grad_norm: 6.0192 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3601 loss: 2.3601 2022/07/27 12:36:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:36:40 - mmengine - INFO - Epoch(train) [47][1180/3757] lr: 8.4733e-03 eta: 2 days, 6:54:57 time: 0.3940 data_time: 0.0161 memory: 17007 grad_norm: 5.8316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2098 loss: 2.2098 2022/07/27 12:36:48 - mmengine - INFO - Epoch(train) [47][1200/3757] lr: 8.4733e-03 eta: 2 days, 6:54:50 time: 0.3985 data_time: 0.0170 memory: 17007 grad_norm: 6.0495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4239 loss: 2.4239 2022/07/27 12:36:56 - mmengine - INFO - Epoch(train) [47][1220/3757] lr: 8.4733e-03 eta: 2 days, 6:54:42 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.1519 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1945 loss: 2.1945 2022/07/27 12:37:04 - mmengine - INFO - Epoch(train) [47][1240/3757] lr: 8.4733e-03 eta: 2 days, 6:54:34 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 6.2101 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5450 loss: 2.5450 2022/07/27 12:37:12 - mmengine - INFO - Epoch(train) [47][1260/3757] lr: 8.4733e-03 eta: 2 days, 6:54:26 time: 0.3987 data_time: 0.0152 memory: 17007 grad_norm: 6.0914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5209 loss: 2.5209 2022/07/27 12:37:20 - mmengine - INFO - Epoch(train) [47][1280/3757] lr: 8.4733e-03 eta: 2 days, 6:54:19 time: 0.3976 data_time: 0.0164 memory: 17007 grad_norm: 6.0164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5152 loss: 2.5152 2022/07/27 12:37:27 - mmengine - INFO - Epoch(train) [47][1300/3757] lr: 8.4733e-03 eta: 2 days, 6:54:11 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.3479 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1917 loss: 2.1917 2022/07/27 12:37:35 - mmengine - INFO - Epoch(train) [47][1320/3757] lr: 8.4733e-03 eta: 2 days, 6:54:03 time: 0.3934 data_time: 0.0162 memory: 17007 grad_norm: 5.9485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5559 loss: 2.5559 2022/07/27 12:37:43 - mmengine - INFO - Epoch(train) [47][1340/3757] lr: 8.4733e-03 eta: 2 days, 6:53:56 time: 0.4018 data_time: 0.0151 memory: 17007 grad_norm: 5.7580 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1087 loss: 2.1087 2022/07/27 12:37:51 - mmengine - INFO - Epoch(train) [47][1360/3757] lr: 8.4733e-03 eta: 2 days, 6:53:48 time: 0.4001 data_time: 0.0159 memory: 17007 grad_norm: 6.1601 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5771 loss: 2.5771 2022/07/27 12:38:00 - mmengine - INFO - Epoch(train) [47][1380/3757] lr: 8.4733e-03 eta: 2 days, 6:53:42 time: 0.4180 data_time: 0.0161 memory: 17007 grad_norm: 5.9403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3812 loss: 2.3812 2022/07/27 12:38:08 - mmengine - INFO - Epoch(train) [47][1400/3757] lr: 8.4733e-03 eta: 2 days, 6:53:34 time: 0.3979 data_time: 0.0169 memory: 17007 grad_norm: 5.7787 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1287 loss: 2.1287 2022/07/27 12:38:16 - mmengine - INFO - Epoch(train) [47][1420/3757] lr: 8.4733e-03 eta: 2 days, 6:53:26 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 5.8019 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2353 loss: 2.2353 2022/07/27 12:38:23 - mmengine - INFO - Epoch(train) [47][1440/3757] lr: 8.4733e-03 eta: 2 days, 6:53:18 time: 0.3947 data_time: 0.0166 memory: 17007 grad_norm: 6.0438 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3366 loss: 2.3366 2022/07/27 12:38:31 - mmengine - INFO - Epoch(train) [47][1460/3757] lr: 8.4733e-03 eta: 2 days, 6:53:10 time: 0.3974 data_time: 0.0166 memory: 17007 grad_norm: 6.0965 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1306 loss: 2.1306 2022/07/27 12:38:39 - mmengine - INFO - Epoch(train) [47][1480/3757] lr: 8.4733e-03 eta: 2 days, 6:53:03 time: 0.3930 data_time: 0.0163 memory: 17007 grad_norm: 5.9697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4579 loss: 2.4579 2022/07/27 12:38:47 - mmengine - INFO - Epoch(train) [47][1500/3757] lr: 8.4733e-03 eta: 2 days, 6:52:55 time: 0.3945 data_time: 0.0171 memory: 17007 grad_norm: 6.0170 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4052 loss: 2.4052 2022/07/27 12:38:55 - mmengine - INFO - Epoch(train) [47][1520/3757] lr: 8.4733e-03 eta: 2 days, 6:52:47 time: 0.3918 data_time: 0.0156 memory: 17007 grad_norm: 6.0791 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7070 loss: 2.7070 2022/07/27 12:39:03 - mmengine - INFO - Epoch(train) [47][1540/3757] lr: 8.4733e-03 eta: 2 days, 6:52:39 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 6.1781 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7952 loss: 2.7952 2022/07/27 12:39:11 - mmengine - INFO - Epoch(train) [47][1560/3757] lr: 8.4733e-03 eta: 2 days, 6:52:31 time: 0.3934 data_time: 0.0169 memory: 17007 grad_norm: 7.0036 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5156 loss: 2.5156 2022/07/27 12:39:19 - mmengine - INFO - Epoch(train) [47][1580/3757] lr: 8.4733e-03 eta: 2 days, 6:52:23 time: 0.3962 data_time: 0.0160 memory: 17007 grad_norm: 5.8008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4893 loss: 2.4893 2022/07/27 12:39:27 - mmengine - INFO - Epoch(train) [47][1600/3757] lr: 8.4733e-03 eta: 2 days, 6:52:16 time: 0.3996 data_time: 0.0165 memory: 17007 grad_norm: 5.8567 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.6465 loss: 2.6465 2022/07/27 12:39:34 - mmengine - INFO - Epoch(train) [47][1620/3757] lr: 8.4733e-03 eta: 2 days, 6:52:08 time: 0.3908 data_time: 0.0141 memory: 17007 grad_norm: 5.8302 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4265 loss: 2.4265 2022/07/27 12:39:42 - mmengine - INFO - Epoch(train) [47][1640/3757] lr: 8.4733e-03 eta: 2 days, 6:52:00 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.8315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2220 loss: 2.2220 2022/07/27 12:39:50 - mmengine - INFO - Epoch(train) [47][1660/3757] lr: 8.4733e-03 eta: 2 days, 6:51:52 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 5.9907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1384 loss: 2.1384 2022/07/27 12:39:58 - mmengine - INFO - Epoch(train) [47][1680/3757] lr: 8.4733e-03 eta: 2 days, 6:51:44 time: 0.3966 data_time: 0.0165 memory: 17007 grad_norm: 6.0114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3769 loss: 2.3769 2022/07/27 12:40:06 - mmengine - INFO - Epoch(train) [47][1700/3757] lr: 8.4733e-03 eta: 2 days, 6:51:37 time: 0.3973 data_time: 0.0155 memory: 17007 grad_norm: 6.1920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2166 loss: 2.2166 2022/07/27 12:40:14 - mmengine - INFO - Epoch(train) [47][1720/3757] lr: 8.4733e-03 eta: 2 days, 6:51:29 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 5.8312 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4721 loss: 2.4721 2022/07/27 12:40:22 - mmengine - INFO - Epoch(train) [47][1740/3757] lr: 8.4733e-03 eta: 2 days, 6:51:21 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 6.0851 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2097 loss: 2.2097 2022/07/27 12:40:30 - mmengine - INFO - Epoch(train) [47][1760/3757] lr: 8.4733e-03 eta: 2 days, 6:51:13 time: 0.3920 data_time: 0.0160 memory: 17007 grad_norm: 6.5146 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6620 loss: 2.6620 2022/07/27 12:40:38 - mmengine - INFO - Epoch(train) [47][1780/3757] lr: 8.4733e-03 eta: 2 days, 6:51:05 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 6.0933 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3637 loss: 2.3637 2022/07/27 12:40:45 - mmengine - INFO - Epoch(train) [47][1800/3757] lr: 8.4733e-03 eta: 2 days, 6:50:57 time: 0.3931 data_time: 0.0154 memory: 17007 grad_norm: 5.8579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3820 loss: 2.3820 2022/07/27 12:40:53 - mmengine - INFO - Epoch(train) [47][1820/3757] lr: 8.4733e-03 eta: 2 days, 6:50:50 time: 0.4003 data_time: 0.0142 memory: 17007 grad_norm: 5.7168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6700 loss: 2.6700 2022/07/27 12:41:01 - mmengine - INFO - Epoch(train) [47][1840/3757] lr: 8.4733e-03 eta: 2 days, 6:50:42 time: 0.3982 data_time: 0.0156 memory: 17007 grad_norm: 5.7906 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3839 loss: 2.3839 2022/07/27 12:41:09 - mmengine - INFO - Epoch(train) [47][1860/3757] lr: 8.4733e-03 eta: 2 days, 6:50:34 time: 0.3970 data_time: 0.0154 memory: 17007 grad_norm: 5.9664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4546 loss: 2.4546 2022/07/27 12:41:18 - mmengine - INFO - Epoch(train) [47][1880/3757] lr: 8.4733e-03 eta: 2 days, 6:50:27 time: 0.4054 data_time: 0.0162 memory: 17007 grad_norm: 5.9087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3351 loss: 2.3351 2022/07/27 12:41:25 - mmengine - INFO - Epoch(train) [47][1900/3757] lr: 8.4733e-03 eta: 2 days, 6:50:19 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 5.8151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5733 loss: 2.5733 2022/07/27 12:41:33 - mmengine - INFO - Epoch(train) [47][1920/3757] lr: 8.4733e-03 eta: 2 days, 6:50:12 time: 0.3977 data_time: 0.0167 memory: 17007 grad_norm: 5.7873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3530 loss: 2.3530 2022/07/27 12:41:41 - mmengine - INFO - Epoch(train) [47][1940/3757] lr: 8.4733e-03 eta: 2 days, 6:50:04 time: 0.4064 data_time: 0.0158 memory: 17007 grad_norm: 6.0658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6633 loss: 2.6633 2022/07/27 12:41:49 - mmengine - INFO - Epoch(train) [47][1960/3757] lr: 8.4733e-03 eta: 2 days, 6:49:57 time: 0.3994 data_time: 0.0212 memory: 17007 grad_norm: 5.8661 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3843 loss: 2.3843 2022/07/27 12:41:57 - mmengine - INFO - Epoch(train) [47][1980/3757] lr: 8.4733e-03 eta: 2 days, 6:49:49 time: 0.3977 data_time: 0.0144 memory: 17007 grad_norm: 5.5972 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6185 loss: 2.6185 2022/07/27 12:42:05 - mmengine - INFO - Epoch(train) [47][2000/3757] lr: 8.4733e-03 eta: 2 days, 6:49:41 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 5.7055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4173 loss: 2.4173 2022/07/27 12:42:13 - mmengine - INFO - Epoch(train) [47][2020/3757] lr: 8.4733e-03 eta: 2 days, 6:49:34 time: 0.3953 data_time: 0.0171 memory: 17007 grad_norm: 5.6364 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2154 loss: 2.2154 2022/07/27 12:42:21 - mmengine - INFO - Epoch(train) [47][2040/3757] lr: 8.4733e-03 eta: 2 days, 6:49:26 time: 0.3959 data_time: 0.0155 memory: 17007 grad_norm: 6.0000 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4210 loss: 2.4210 2022/07/27 12:42:29 - mmengine - INFO - Epoch(train) [47][2060/3757] lr: 8.4733e-03 eta: 2 days, 6:49:19 time: 0.4135 data_time: 0.0162 memory: 17007 grad_norm: 5.6934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3042 loss: 2.3042 2022/07/27 12:42:37 - mmengine - INFO - Epoch(train) [47][2080/3757] lr: 8.4733e-03 eta: 2 days, 6:49:12 time: 0.4013 data_time: 0.0158 memory: 17007 grad_norm: 5.8764 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2995 loss: 2.2995 2022/07/27 12:42:45 - mmengine - INFO - Epoch(train) [47][2100/3757] lr: 8.4733e-03 eta: 2 days, 6:49:04 time: 0.3913 data_time: 0.0148 memory: 17007 grad_norm: 5.8833 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 2.3980 loss: 2.3980 2022/07/27 12:42:53 - mmengine - INFO - Epoch(train) [47][2120/3757] lr: 8.4733e-03 eta: 2 days, 6:48:56 time: 0.3955 data_time: 0.0163 memory: 17007 grad_norm: 5.8641 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3633 loss: 2.3633 2022/07/27 12:43:01 - mmengine - INFO - Epoch(train) [47][2140/3757] lr: 8.4733e-03 eta: 2 days, 6:48:48 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 5.9548 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5526 loss: 2.5526 2022/07/27 12:43:09 - mmengine - INFO - Epoch(train) [47][2160/3757] lr: 8.4733e-03 eta: 2 days, 6:48:40 time: 0.3947 data_time: 0.0172 memory: 17007 grad_norm: 6.0448 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8099 loss: 2.8099 2022/07/27 12:43:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:43:17 - mmengine - INFO - Epoch(train) [47][2180/3757] lr: 8.4733e-03 eta: 2 days, 6:48:32 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 5.9941 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4907 loss: 2.4907 2022/07/27 12:43:25 - mmengine - INFO - Epoch(train) [47][2200/3757] lr: 8.4733e-03 eta: 2 days, 6:48:24 time: 0.3921 data_time: 0.0151 memory: 17007 grad_norm: 5.7543 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6067 loss: 2.6067 2022/07/27 12:43:33 - mmengine - INFO - Epoch(train) [47][2220/3757] lr: 8.4733e-03 eta: 2 days, 6:48:17 time: 0.3947 data_time: 0.0162 memory: 17007 grad_norm: 5.9572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7687 loss: 2.7687 2022/07/27 12:43:41 - mmengine - INFO - Epoch(train) [47][2240/3757] lr: 8.4733e-03 eta: 2 days, 6:48:09 time: 0.4026 data_time: 0.0162 memory: 17007 grad_norm: 5.7823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5091 loss: 2.5091 2022/07/27 12:43:49 - mmengine - INFO - Epoch(train) [47][2260/3757] lr: 8.4733e-03 eta: 2 days, 6:48:02 time: 0.3954 data_time: 0.0162 memory: 17007 grad_norm: 6.0588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2685 loss: 2.2685 2022/07/27 12:43:56 - mmengine - INFO - Epoch(train) [47][2280/3757] lr: 8.4733e-03 eta: 2 days, 6:47:54 time: 0.3944 data_time: 0.0165 memory: 17007 grad_norm: 6.1369 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8429 loss: 2.8429 2022/07/27 12:44:04 - mmengine - INFO - Epoch(train) [47][2300/3757] lr: 8.4733e-03 eta: 2 days, 6:47:46 time: 0.3983 data_time: 0.0147 memory: 17007 grad_norm: 5.9346 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5024 loss: 2.5024 2022/07/27 12:44:12 - mmengine - INFO - Epoch(train) [47][2320/3757] lr: 8.4733e-03 eta: 2 days, 6:47:38 time: 0.3957 data_time: 0.0157 memory: 17007 grad_norm: 5.8001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6024 loss: 2.6024 2022/07/27 12:44:20 - mmengine - INFO - Epoch(train) [47][2340/3757] lr: 8.4733e-03 eta: 2 days, 6:47:31 time: 0.3943 data_time: 0.0166 memory: 17007 grad_norm: 5.7194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4906 loss: 2.4906 2022/07/27 12:44:28 - mmengine - INFO - Epoch(train) [47][2360/3757] lr: 8.4733e-03 eta: 2 days, 6:47:23 time: 0.3923 data_time: 0.0159 memory: 17007 grad_norm: 6.0477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3261 loss: 2.3261 2022/07/27 12:44:36 - mmengine - INFO - Epoch(train) [47][2380/3757] lr: 8.4733e-03 eta: 2 days, 6:47:15 time: 0.3935 data_time: 0.0164 memory: 17007 grad_norm: 6.0632 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1326 loss: 2.1326 2022/07/27 12:44:44 - mmengine - INFO - Epoch(train) [47][2400/3757] lr: 8.4733e-03 eta: 2 days, 6:47:07 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 5.9638 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3343 loss: 2.3343 2022/07/27 12:44:52 - mmengine - INFO - Epoch(train) [47][2420/3757] lr: 8.4733e-03 eta: 2 days, 6:46:59 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 5.9257 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5971 loss: 2.5971 2022/07/27 12:45:00 - mmengine - INFO - Epoch(train) [47][2440/3757] lr: 8.4733e-03 eta: 2 days, 6:46:51 time: 0.3979 data_time: 0.0154 memory: 17007 grad_norm: 5.7874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2096 loss: 2.2096 2022/07/27 12:45:08 - mmengine - INFO - Epoch(train) [47][2460/3757] lr: 8.4733e-03 eta: 2 days, 6:46:44 time: 0.3954 data_time: 0.0162 memory: 17007 grad_norm: 5.8211 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5608 loss: 2.5608 2022/07/27 12:45:16 - mmengine - INFO - Epoch(train) [47][2480/3757] lr: 8.4733e-03 eta: 2 days, 6:46:36 time: 0.3924 data_time: 0.0161 memory: 17007 grad_norm: 5.8480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5899 loss: 2.5899 2022/07/27 12:45:24 - mmengine - INFO - Epoch(train) [47][2500/3757] lr: 8.4733e-03 eta: 2 days, 6:46:28 time: 0.4028 data_time: 0.0165 memory: 17007 grad_norm: 6.0413 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3833 loss: 2.3833 2022/07/27 12:45:31 - mmengine - INFO - Epoch(train) [47][2520/3757] lr: 8.4733e-03 eta: 2 days, 6:46:21 time: 0.3939 data_time: 0.0153 memory: 17007 grad_norm: 5.8713 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4317 loss: 2.4317 2022/07/27 12:45:39 - mmengine - INFO - Epoch(train) [47][2540/3757] lr: 8.4733e-03 eta: 2 days, 6:46:13 time: 0.3967 data_time: 0.0148 memory: 17007 grad_norm: 5.9597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3656 loss: 2.3656 2022/07/27 12:45:47 - mmengine - INFO - Epoch(train) [47][2560/3757] lr: 8.4733e-03 eta: 2 days, 6:46:05 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 5.9760 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3578 loss: 2.3578 2022/07/27 12:45:55 - mmengine - INFO - Epoch(train) [47][2580/3757] lr: 8.4733e-03 eta: 2 days, 6:45:57 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 5.9823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4503 loss: 2.4503 2022/07/27 12:46:03 - mmengine - INFO - Epoch(train) [47][2600/3757] lr: 8.4733e-03 eta: 2 days, 6:45:50 time: 0.4027 data_time: 0.0169 memory: 17007 grad_norm: 6.2027 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6583 loss: 2.6583 2022/07/27 12:46:11 - mmengine - INFO - Epoch(train) [47][2620/3757] lr: 8.4733e-03 eta: 2 days, 6:45:42 time: 0.3968 data_time: 0.0167 memory: 17007 grad_norm: 5.8970 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6470 loss: 2.6470 2022/07/27 12:46:19 - mmengine - INFO - Epoch(train) [47][2640/3757] lr: 8.4733e-03 eta: 2 days, 6:45:34 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 5.9295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5207 loss: 2.5207 2022/07/27 12:46:27 - mmengine - INFO - Epoch(train) [47][2660/3757] lr: 8.4733e-03 eta: 2 days, 6:45:26 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 5.8287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2448 loss: 2.2448 2022/07/27 12:46:35 - mmengine - INFO - Epoch(train) [47][2680/3757] lr: 8.4733e-03 eta: 2 days, 6:45:18 time: 0.3933 data_time: 0.0161 memory: 17007 grad_norm: 6.8432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5047 loss: 2.5047 2022/07/27 12:46:43 - mmengine - INFO - Epoch(train) [47][2700/3757] lr: 8.4733e-03 eta: 2 days, 6:45:11 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 6.1911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5554 loss: 2.5554 2022/07/27 12:46:51 - mmengine - INFO - Epoch(train) [47][2720/3757] lr: 8.4733e-03 eta: 2 days, 6:45:03 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 5.9200 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2696 loss: 2.2696 2022/07/27 12:46:58 - mmengine - INFO - Epoch(train) [47][2740/3757] lr: 8.4733e-03 eta: 2 days, 6:44:55 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.8210 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4939 loss: 2.4939 2022/07/27 12:47:06 - mmengine - INFO - Epoch(train) [47][2760/3757] lr: 8.4733e-03 eta: 2 days, 6:44:47 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 5.9867 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5066 loss: 2.5066 2022/07/27 12:47:14 - mmengine - INFO - Epoch(train) [47][2780/3757] lr: 8.4733e-03 eta: 2 days, 6:44:39 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 5.9861 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3383 loss: 2.3383 2022/07/27 12:47:22 - mmengine - INFO - Epoch(train) [47][2800/3757] lr: 8.4733e-03 eta: 2 days, 6:44:31 time: 0.3937 data_time: 0.0162 memory: 17007 grad_norm: 5.8631 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4519 loss: 2.4519 2022/07/27 12:47:30 - mmengine - INFO - Epoch(train) [47][2820/3757] lr: 8.4733e-03 eta: 2 days, 6:44:23 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 6.0768 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5683 loss: 2.5683 2022/07/27 12:47:38 - mmengine - INFO - Epoch(train) [47][2840/3757] lr: 8.4733e-03 eta: 2 days, 6:44:15 time: 0.3932 data_time: 0.0168 memory: 17007 grad_norm: 5.8430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7615 loss: 2.7615 2022/07/27 12:47:46 - mmengine - INFO - Epoch(train) [47][2860/3757] lr: 8.4733e-03 eta: 2 days, 6:44:08 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 5.8946 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4529 loss: 2.4529 2022/07/27 12:47:54 - mmengine - INFO - Epoch(train) [47][2880/3757] lr: 8.4733e-03 eta: 2 days, 6:44:00 time: 0.3951 data_time: 0.0169 memory: 17007 grad_norm: 6.0155 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4506 loss: 2.4506 2022/07/27 12:48:01 - mmengine - INFO - Epoch(train) [47][2900/3757] lr: 8.4733e-03 eta: 2 days, 6:43:52 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 5.6876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2956 loss: 2.2956 2022/07/27 12:48:09 - mmengine - INFO - Epoch(train) [47][2920/3757] lr: 8.4733e-03 eta: 2 days, 6:43:44 time: 0.3972 data_time: 0.0159 memory: 17007 grad_norm: 5.7056 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6585 loss: 2.6585 2022/07/27 12:48:17 - mmengine - INFO - Epoch(train) [47][2940/3757] lr: 8.4733e-03 eta: 2 days, 6:43:36 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 5.9014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5089 loss: 2.5089 2022/07/27 12:48:25 - mmengine - INFO - Epoch(train) [47][2960/3757] lr: 8.4733e-03 eta: 2 days, 6:43:28 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 5.9310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5414 loss: 2.5414 2022/07/27 12:48:33 - mmengine - INFO - Epoch(train) [47][2980/3757] lr: 8.4733e-03 eta: 2 days, 6:43:20 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 5.8062 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5457 loss: 2.5457 2022/07/27 12:48:41 - mmengine - INFO - Epoch(train) [47][3000/3757] lr: 8.4733e-03 eta: 2 days, 6:43:12 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 5.9326 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5705 loss: 2.5705 2022/07/27 12:48:49 - mmengine - INFO - Epoch(train) [47][3020/3757] lr: 8.4733e-03 eta: 2 days, 6:43:05 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 5.9749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5332 loss: 2.5332 2022/07/27 12:48:57 - mmengine - INFO - Epoch(train) [47][3040/3757] lr: 8.4733e-03 eta: 2 days, 6:42:57 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 5.7065 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5483 loss: 2.5483 2022/07/27 12:49:04 - mmengine - INFO - Epoch(train) [47][3060/3757] lr: 8.4733e-03 eta: 2 days, 6:42:49 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.9441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3431 loss: 2.3431 2022/07/27 12:49:13 - mmengine - INFO - Epoch(train) [47][3080/3757] lr: 8.4733e-03 eta: 2 days, 6:42:41 time: 0.4032 data_time: 0.0156 memory: 17007 grad_norm: 5.8640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5258 loss: 2.5258 2022/07/27 12:49:20 - mmengine - INFO - Epoch(train) [47][3100/3757] lr: 8.4733e-03 eta: 2 days, 6:42:34 time: 0.3937 data_time: 0.0155 memory: 17007 grad_norm: 6.3224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6422 loss: 2.6422 2022/07/27 12:49:28 - mmengine - INFO - Epoch(train) [47][3120/3757] lr: 8.4733e-03 eta: 2 days, 6:42:26 time: 0.4005 data_time: 0.0157 memory: 17007 grad_norm: 6.0818 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5330 loss: 2.5330 2022/07/27 12:49:36 - mmengine - INFO - Epoch(train) [47][3140/3757] lr: 8.4733e-03 eta: 2 days, 6:42:18 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 6.0239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2667 loss: 2.2667 2022/07/27 12:49:44 - mmengine - INFO - Epoch(train) [47][3160/3757] lr: 8.4733e-03 eta: 2 days, 6:42:10 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 5.9138 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3416 loss: 2.3416 2022/07/27 12:49:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:49:52 - mmengine - INFO - Epoch(train) [47][3180/3757] lr: 8.4733e-03 eta: 2 days, 6:42:03 time: 0.4000 data_time: 0.0163 memory: 17007 grad_norm: 5.8971 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6270 loss: 2.6270 2022/07/27 12:50:00 - mmengine - INFO - Epoch(train) [47][3200/3757] lr: 8.4733e-03 eta: 2 days, 6:41:55 time: 0.3925 data_time: 0.0163 memory: 17007 grad_norm: 5.9929 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5625 loss: 2.5625 2022/07/27 12:50:08 - mmengine - INFO - Epoch(train) [47][3220/3757] lr: 8.4733e-03 eta: 2 days, 6:41:47 time: 0.3940 data_time: 0.0168 memory: 17007 grad_norm: 5.9700 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4439 loss: 2.4439 2022/07/27 12:50:16 - mmengine - INFO - Epoch(train) [47][3240/3757] lr: 8.4733e-03 eta: 2 days, 6:41:39 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 5.9234 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4354 loss: 2.4354 2022/07/27 12:50:24 - mmengine - INFO - Epoch(train) [47][3260/3757] lr: 8.4733e-03 eta: 2 days, 6:41:31 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 5.7476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6711 loss: 2.6711 2022/07/27 12:50:32 - mmengine - INFO - Epoch(train) [47][3280/3757] lr: 8.4733e-03 eta: 2 days, 6:41:24 time: 0.3982 data_time: 0.0150 memory: 17007 grad_norm: 5.9502 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3340 loss: 2.3340 2022/07/27 12:50:39 - mmengine - INFO - Epoch(train) [47][3300/3757] lr: 8.4733e-03 eta: 2 days, 6:41:16 time: 0.3912 data_time: 0.0154 memory: 17007 grad_norm: 5.8988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4673 loss: 2.4673 2022/07/27 12:50:47 - mmengine - INFO - Epoch(train) [47][3320/3757] lr: 8.4733e-03 eta: 2 days, 6:41:08 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.0961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3507 loss: 2.3507 2022/07/27 12:50:55 - mmengine - INFO - Epoch(train) [47][3340/3757] lr: 8.4733e-03 eta: 2 days, 6:41:00 time: 0.3930 data_time: 0.0143 memory: 17007 grad_norm: 5.9564 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4540 loss: 2.4540 2022/07/27 12:51:03 - mmengine - INFO - Epoch(train) [47][3360/3757] lr: 8.4733e-03 eta: 2 days, 6:40:52 time: 0.3930 data_time: 0.0144 memory: 17007 grad_norm: 5.8394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5291 loss: 2.5291 2022/07/27 12:51:11 - mmengine - INFO - Epoch(train) [47][3380/3757] lr: 8.4733e-03 eta: 2 days, 6:40:44 time: 0.3957 data_time: 0.0165 memory: 17007 grad_norm: 5.8271 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6938 loss: 2.6938 2022/07/27 12:51:19 - mmengine - INFO - Epoch(train) [47][3400/3757] lr: 8.4733e-03 eta: 2 days, 6:40:36 time: 0.3953 data_time: 0.0170 memory: 17007 grad_norm: 5.8137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5020 loss: 2.5020 2022/07/27 12:51:27 - mmengine - INFO - Epoch(train) [47][3420/3757] lr: 8.4733e-03 eta: 2 days, 6:40:28 time: 0.3921 data_time: 0.0148 memory: 17007 grad_norm: 5.9605 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6211 loss: 2.6211 2022/07/27 12:51:35 - mmengine - INFO - Epoch(train) [47][3440/3757] lr: 8.4733e-03 eta: 2 days, 6:40:21 time: 0.4054 data_time: 0.0162 memory: 17007 grad_norm: 5.9941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4004 loss: 2.4004 2022/07/27 12:51:43 - mmengine - INFO - Epoch(train) [47][3460/3757] lr: 8.4733e-03 eta: 2 days, 6:40:13 time: 0.3921 data_time: 0.0145 memory: 17007 grad_norm: 6.1813 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4524 loss: 2.4524 2022/07/27 12:51:51 - mmengine - INFO - Epoch(train) [47][3480/3757] lr: 8.4733e-03 eta: 2 days, 6:40:05 time: 0.3952 data_time: 0.0162 memory: 17007 grad_norm: 6.0976 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7207 loss: 2.7207 2022/07/27 12:51:58 - mmengine - INFO - Epoch(train) [47][3500/3757] lr: 8.4733e-03 eta: 2 days, 6:39:57 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 5.9386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7687 loss: 2.7687 2022/07/27 12:52:06 - mmengine - INFO - Epoch(train) [47][3520/3757] lr: 8.4733e-03 eta: 2 days, 6:39:50 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 5.6855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2230 loss: 2.2230 2022/07/27 12:52:14 - mmengine - INFO - Epoch(train) [47][3540/3757] lr: 8.4733e-03 eta: 2 days, 6:39:42 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 5.5492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1682 loss: 2.1682 2022/07/27 12:52:22 - mmengine - INFO - Epoch(train) [47][3560/3757] lr: 8.4733e-03 eta: 2 days, 6:39:34 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 5.6961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1320 loss: 2.1320 2022/07/27 12:52:30 - mmengine - INFO - Epoch(train) [47][3580/3757] lr: 8.4733e-03 eta: 2 days, 6:39:26 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 5.8145 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4574 loss: 2.4574 2022/07/27 12:52:38 - mmengine - INFO - Epoch(train) [47][3600/3757] lr: 8.4733e-03 eta: 2 days, 6:39:18 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 5.9671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3684 loss: 2.3684 2022/07/27 12:52:46 - mmengine - INFO - Epoch(train) [47][3620/3757] lr: 8.4733e-03 eta: 2 days, 6:39:10 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 5.7881 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2229 loss: 2.2229 2022/07/27 12:52:54 - mmengine - INFO - Epoch(train) [47][3640/3757] lr: 8.4733e-03 eta: 2 days, 6:39:03 time: 0.4003 data_time: 0.0167 memory: 17007 grad_norm: 5.7215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4486 loss: 2.4486 2022/07/27 12:53:02 - mmengine - INFO - Epoch(train) [47][3660/3757] lr: 8.4733e-03 eta: 2 days, 6:38:55 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 6.1832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7649 loss: 2.7649 2022/07/27 12:53:10 - mmengine - INFO - Epoch(train) [47][3680/3757] lr: 8.4733e-03 eta: 2 days, 6:38:47 time: 0.3951 data_time: 0.0174 memory: 17007 grad_norm: 5.9890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3903 loss: 2.3903 2022/07/27 12:53:17 - mmengine - INFO - Epoch(train) [47][3700/3757] lr: 8.4733e-03 eta: 2 days, 6:38:39 time: 0.3923 data_time: 0.0147 memory: 17007 grad_norm: 5.7754 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2560 loss: 2.2560 2022/07/27 12:53:25 - mmengine - INFO - Epoch(train) [47][3720/3757] lr: 8.4733e-03 eta: 2 days, 6:38:31 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 5.8364 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5203 loss: 2.5203 2022/07/27 12:53:33 - mmengine - INFO - Epoch(train) [47][3740/3757] lr: 8.4733e-03 eta: 2 days, 6:38:23 time: 0.3915 data_time: 0.0151 memory: 17007 grad_norm: 5.9756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2783 loss: 2.2783 2022/07/27 12:53:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:53:40 - mmengine - INFO - Epoch(train) [47][3757/3757] lr: 8.4733e-03 eta: 2 days, 6:38:23 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 5.9601 top1_acc: 0.0000 top5_acc: 0.2857 loss_cls: 2.3459 loss: 2.3459 2022/07/27 12:53:40 - mmengine - INFO - Saving checkpoint at 47 epochs 2022/07/27 12:53:51 - mmengine - INFO - Epoch(train) [48][20/3757] lr: 8.4100e-03 eta: 2 days, 6:37:53 time: 0.4594 data_time: 0.0808 memory: 17007 grad_norm: 6.0335 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5007 loss: 2.5007 2022/07/27 12:53:59 - mmengine - INFO - Epoch(train) [48][40/3757] lr: 8.4100e-03 eta: 2 days, 6:37:46 time: 0.3977 data_time: 0.0184 memory: 17007 grad_norm: 5.7355 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3609 loss: 2.3609 2022/07/27 12:54:07 - mmengine - INFO - Epoch(train) [48][60/3757] lr: 8.4100e-03 eta: 2 days, 6:37:38 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 5.6280 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3778 loss: 2.3778 2022/07/27 12:54:15 - mmengine - INFO - Epoch(train) [48][80/3757] lr: 8.4100e-03 eta: 2 days, 6:37:30 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 5.6734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3025 loss: 2.3025 2022/07/27 12:54:22 - mmengine - INFO - Epoch(train) [48][100/3757] lr: 8.4100e-03 eta: 2 days, 6:37:22 time: 0.3946 data_time: 0.0142 memory: 17007 grad_norm: 6.2728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7968 loss: 2.7968 2022/07/27 12:54:30 - mmengine - INFO - Epoch(train) [48][120/3757] lr: 8.4100e-03 eta: 2 days, 6:37:14 time: 0.3919 data_time: 0.0159 memory: 17007 grad_norm: 5.8389 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4206 loss: 2.4206 2022/07/27 12:54:38 - mmengine - INFO - Epoch(train) [48][140/3757] lr: 8.4100e-03 eta: 2 days, 6:37:07 time: 0.4053 data_time: 0.0160 memory: 17007 grad_norm: 5.7439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3892 loss: 2.3892 2022/07/27 12:54:46 - mmengine - INFO - Epoch(train) [48][160/3757] lr: 8.4100e-03 eta: 2 days, 6:36:59 time: 0.3935 data_time: 0.0155 memory: 17007 grad_norm: 5.7767 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5137 loss: 2.5137 2022/07/27 12:54:54 - mmengine - INFO - Epoch(train) [48][180/3757] lr: 8.4100e-03 eta: 2 days, 6:36:51 time: 0.3912 data_time: 0.0150 memory: 17007 grad_norm: 6.1305 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6688 loss: 2.6688 2022/07/27 12:55:02 - mmengine - INFO - Epoch(train) [48][200/3757] lr: 8.4100e-03 eta: 2 days, 6:36:44 time: 0.4020 data_time: 0.0158 memory: 17007 grad_norm: 5.8641 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6701 loss: 2.6701 2022/07/27 12:55:10 - mmengine - INFO - Epoch(train) [48][220/3757] lr: 8.4100e-03 eta: 2 days, 6:36:36 time: 0.3945 data_time: 0.0165 memory: 17007 grad_norm: 6.0782 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4886 loss: 2.4886 2022/07/27 12:55:18 - mmengine - INFO - Epoch(train) [48][240/3757] lr: 8.4100e-03 eta: 2 days, 6:36:28 time: 0.3988 data_time: 0.0163 memory: 17007 grad_norm: 6.2614 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6555 loss: 2.6555 2022/07/27 12:55:26 - mmengine - INFO - Epoch(train) [48][260/3757] lr: 8.4100e-03 eta: 2 days, 6:36:20 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 6.0539 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5117 loss: 2.5117 2022/07/27 12:55:34 - mmengine - INFO - Epoch(train) [48][280/3757] lr: 8.4100e-03 eta: 2 days, 6:36:13 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 5.9852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3138 loss: 2.3138 2022/07/27 12:55:42 - mmengine - INFO - Epoch(train) [48][300/3757] lr: 8.4100e-03 eta: 2 days, 6:36:05 time: 0.3997 data_time: 0.0164 memory: 17007 grad_norm: 6.0264 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4290 loss: 2.4290 2022/07/27 12:55:50 - mmengine - INFO - Epoch(train) [48][320/3757] lr: 8.4100e-03 eta: 2 days, 6:35:57 time: 0.3936 data_time: 0.0165 memory: 17007 grad_norm: 6.1075 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3677 loss: 2.3677 2022/07/27 12:55:57 - mmengine - INFO - Epoch(train) [48][340/3757] lr: 8.4100e-03 eta: 2 days, 6:35:49 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 5.9935 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3739 loss: 2.3739 2022/07/27 12:56:05 - mmengine - INFO - Epoch(train) [48][360/3757] lr: 8.4100e-03 eta: 2 days, 6:35:41 time: 0.3935 data_time: 0.0165 memory: 17007 grad_norm: 6.2355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6232 loss: 2.6232 2022/07/27 12:56:13 - mmengine - INFO - Epoch(train) [48][380/3757] lr: 8.4100e-03 eta: 2 days, 6:35:33 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 6.0787 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4057 loss: 2.4057 2022/07/27 12:56:21 - mmengine - INFO - Epoch(train) [48][400/3757] lr: 8.4100e-03 eta: 2 days, 6:35:26 time: 0.3991 data_time: 0.0171 memory: 17007 grad_norm: 6.1152 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5529 loss: 2.5529 2022/07/27 12:56:29 - mmengine - INFO - Epoch(train) [48][420/3757] lr: 8.4100e-03 eta: 2 days, 6:35:18 time: 0.3935 data_time: 0.0145 memory: 17007 grad_norm: 5.7068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1762 loss: 2.1762 2022/07/27 12:56:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 12:56:37 - mmengine - INFO - Epoch(train) [48][440/3757] lr: 8.4100e-03 eta: 2 days, 6:35:10 time: 0.3936 data_time: 0.0169 memory: 17007 grad_norm: 5.7736 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3659 loss: 2.3659 2022/07/27 12:56:45 - mmengine - INFO - Epoch(train) [48][460/3757] lr: 8.4100e-03 eta: 2 days, 6:35:03 time: 0.3995 data_time: 0.0159 memory: 17007 grad_norm: 6.0405 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2330 loss: 2.2330 2022/07/27 12:56:53 - mmengine - INFO - Epoch(train) [48][480/3757] lr: 8.4100e-03 eta: 2 days, 6:34:55 time: 0.3907 data_time: 0.0144 memory: 17007 grad_norm: 5.8168 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8377 loss: 2.8377 2022/07/27 12:57:01 - mmengine - INFO - Epoch(train) [48][500/3757] lr: 8.4100e-03 eta: 2 days, 6:34:47 time: 0.3949 data_time: 0.0168 memory: 17007 grad_norm: 5.8854 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2937 loss: 2.2937 2022/07/27 12:57:09 - mmengine - INFO - Epoch(train) [48][520/3757] lr: 8.4100e-03 eta: 2 days, 6:34:39 time: 0.3977 data_time: 0.0151 memory: 17007 grad_norm: 6.1414 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4463 loss: 2.4463 2022/07/27 12:57:17 - mmengine - INFO - Epoch(train) [48][540/3757] lr: 8.4100e-03 eta: 2 days, 6:34:31 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 5.8418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1366 loss: 2.1366 2022/07/27 12:57:24 - mmengine - INFO - Epoch(train) [48][560/3757] lr: 8.4100e-03 eta: 2 days, 6:34:23 time: 0.3955 data_time: 0.0175 memory: 17007 grad_norm: 5.8354 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2187 loss: 2.2187 2022/07/27 12:57:32 - mmengine - INFO - Epoch(train) [48][580/3757] lr: 8.4100e-03 eta: 2 days, 6:34:15 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 5.8440 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3249 loss: 2.3249 2022/07/27 12:57:40 - mmengine - INFO - Epoch(train) [48][600/3757] lr: 8.4100e-03 eta: 2 days, 6:34:08 time: 0.3976 data_time: 0.0164 memory: 17007 grad_norm: 5.7788 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5708 loss: 2.5708 2022/07/27 12:57:48 - mmengine - INFO - Epoch(train) [48][620/3757] lr: 8.4100e-03 eta: 2 days, 6:34:00 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 5.5286 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4652 loss: 2.4652 2022/07/27 12:57:56 - mmengine - INFO - Epoch(train) [48][640/3757] lr: 8.4100e-03 eta: 2 days, 6:33:52 time: 0.3941 data_time: 0.0164 memory: 17007 grad_norm: 5.8658 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4240 loss: 2.4240 2022/07/27 12:58:04 - mmengine - INFO - Epoch(train) [48][660/3757] lr: 8.4100e-03 eta: 2 days, 6:33:44 time: 0.3985 data_time: 0.0159 memory: 17007 grad_norm: 6.0557 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4848 loss: 2.4848 2022/07/27 12:58:12 - mmengine - INFO - Epoch(train) [48][680/3757] lr: 8.4100e-03 eta: 2 days, 6:33:36 time: 0.3916 data_time: 0.0154 memory: 17007 grad_norm: 5.9428 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5139 loss: 2.5139 2022/07/27 12:58:20 - mmengine - INFO - Epoch(train) [48][700/3757] lr: 8.4100e-03 eta: 2 days, 6:33:29 time: 0.3947 data_time: 0.0167 memory: 17007 grad_norm: 5.8454 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5981 loss: 2.5981 2022/07/27 12:58:27 - mmengine - INFO - Epoch(train) [48][720/3757] lr: 8.4100e-03 eta: 2 days, 6:33:21 time: 0.3911 data_time: 0.0147 memory: 17007 grad_norm: 5.8404 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3924 loss: 2.3924 2022/07/27 12:58:35 - mmengine - INFO - Epoch(train) [48][740/3757] lr: 8.4100e-03 eta: 2 days, 6:33:13 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 6.0446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2745 loss: 2.2745 2022/07/27 12:58:43 - mmengine - INFO - Epoch(train) [48][760/3757] lr: 8.4100e-03 eta: 2 days, 6:33:05 time: 0.3946 data_time: 0.0165 memory: 17007 grad_norm: 5.9091 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2564 loss: 2.2564 2022/07/27 12:58:51 - mmengine - INFO - Epoch(train) [48][780/3757] lr: 8.4100e-03 eta: 2 days, 6:32:57 time: 0.3946 data_time: 0.0149 memory: 17007 grad_norm: 5.8628 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3891 loss: 2.3891 2022/07/27 12:58:59 - mmengine - INFO - Epoch(train) [48][800/3757] lr: 8.4100e-03 eta: 2 days, 6:32:49 time: 0.3962 data_time: 0.0154 memory: 17007 grad_norm: 5.8630 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0986 loss: 2.0986 2022/07/27 12:59:07 - mmengine - INFO - Epoch(train) [48][820/3757] lr: 8.4100e-03 eta: 2 days, 6:32:41 time: 0.3919 data_time: 0.0144 memory: 17007 grad_norm: 5.9448 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4326 loss: 2.4326 2022/07/27 12:59:15 - mmengine - INFO - Epoch(train) [48][840/3757] lr: 8.4100e-03 eta: 2 days, 6:32:34 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 6.0176 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2223 loss: 2.2223 2022/07/27 12:59:23 - mmengine - INFO - Epoch(train) [48][860/3757] lr: 8.4100e-03 eta: 2 days, 6:32:26 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 5.7991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3384 loss: 2.3384 2022/07/27 12:59:31 - mmengine - INFO - Epoch(train) [48][880/3757] lr: 8.4100e-03 eta: 2 days, 6:32:18 time: 0.3929 data_time: 0.0166 memory: 17007 grad_norm: 5.8675 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3554 loss: 2.3554 2022/07/27 12:59:38 - mmengine - INFO - Epoch(train) [48][900/3757] lr: 8.4100e-03 eta: 2 days, 6:32:10 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 5.8332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6239 loss: 2.6239 2022/07/27 12:59:46 - mmengine - INFO - Epoch(train) [48][920/3757] lr: 8.4100e-03 eta: 2 days, 6:32:02 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 6.0848 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5179 loss: 2.5179 2022/07/27 12:59:54 - mmengine - INFO - Epoch(train) [48][940/3757] lr: 8.4100e-03 eta: 2 days, 6:31:54 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 5.8676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2675 loss: 2.2675 2022/07/27 13:00:02 - mmengine - INFO - Epoch(train) [48][960/3757] lr: 8.4100e-03 eta: 2 days, 6:31:46 time: 0.3965 data_time: 0.0162 memory: 17007 grad_norm: 5.9753 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4840 loss: 2.4840 2022/07/27 13:00:10 - mmengine - INFO - Epoch(train) [48][980/3757] lr: 8.4100e-03 eta: 2 days, 6:31:38 time: 0.3921 data_time: 0.0150 memory: 17007 grad_norm: 5.9664 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3162 loss: 2.3162 2022/07/27 13:00:18 - mmengine - INFO - Epoch(train) [48][1000/3757] lr: 8.4100e-03 eta: 2 days, 6:31:30 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 5.6434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7820 loss: 2.7820 2022/07/27 13:00:26 - mmengine - INFO - Epoch(train) [48][1020/3757] lr: 8.4100e-03 eta: 2 days, 6:31:23 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 5.8598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3629 loss: 2.3629 2022/07/27 13:00:34 - mmengine - INFO - Epoch(train) [48][1040/3757] lr: 8.4100e-03 eta: 2 days, 6:31:15 time: 0.3926 data_time: 0.0163 memory: 17007 grad_norm: 5.9339 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4364 loss: 2.4364 2022/07/27 13:00:41 - mmengine - INFO - Epoch(train) [48][1060/3757] lr: 8.4100e-03 eta: 2 days, 6:31:07 time: 0.3961 data_time: 0.0164 memory: 17007 grad_norm: 5.7403 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1832 loss: 2.1832 2022/07/27 13:00:49 - mmengine - INFO - Epoch(train) [48][1080/3757] lr: 8.4100e-03 eta: 2 days, 6:30:59 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 5.9369 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5896 loss: 2.5896 2022/07/27 13:00:57 - mmengine - INFO - Epoch(train) [48][1100/3757] lr: 8.4100e-03 eta: 2 days, 6:30:51 time: 0.3937 data_time: 0.0167 memory: 17007 grad_norm: 5.7172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6005 loss: 2.6005 2022/07/27 13:01:05 - mmengine - INFO - Epoch(train) [48][1120/3757] lr: 8.4100e-03 eta: 2 days, 6:30:44 time: 0.3998 data_time: 0.0171 memory: 17007 grad_norm: 5.7130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3090 loss: 2.3090 2022/07/27 13:01:13 - mmengine - INFO - Epoch(train) [48][1140/3757] lr: 8.4100e-03 eta: 2 days, 6:30:36 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 5.9400 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2904 loss: 2.2904 2022/07/27 13:01:21 - mmengine - INFO - Epoch(train) [48][1160/3757] lr: 8.4100e-03 eta: 2 days, 6:30:28 time: 0.4036 data_time: 0.0173 memory: 17007 grad_norm: 5.8092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3008 loss: 2.3008 2022/07/27 13:01:29 - mmengine - INFO - Epoch(train) [48][1180/3757] lr: 8.4100e-03 eta: 2 days, 6:30:20 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 5.9325 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3382 loss: 2.3382 2022/07/27 13:01:37 - mmengine - INFO - Epoch(train) [48][1200/3757] lr: 8.4100e-03 eta: 2 days, 6:30:12 time: 0.3931 data_time: 0.0170 memory: 17007 grad_norm: 5.7190 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4826 loss: 2.4826 2022/07/27 13:01:45 - mmengine - INFO - Epoch(train) [48][1220/3757] lr: 8.4100e-03 eta: 2 days, 6:30:06 time: 0.4122 data_time: 0.0165 memory: 17007 grad_norm: 5.8346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4727 loss: 2.4727 2022/07/27 13:01:53 - mmengine - INFO - Epoch(train) [48][1240/3757] lr: 8.4100e-03 eta: 2 days, 6:29:58 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 5.9059 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2446 loss: 2.2446 2022/07/27 13:02:01 - mmengine - INFO - Epoch(train) [48][1260/3757] lr: 8.4100e-03 eta: 2 days, 6:29:50 time: 0.4037 data_time: 0.0178 memory: 17007 grad_norm: 5.7667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3365 loss: 2.3365 2022/07/27 13:02:09 - mmengine - INFO - Epoch(train) [48][1280/3757] lr: 8.4100e-03 eta: 2 days, 6:29:43 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 5.8834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3552 loss: 2.3552 2022/07/27 13:02:17 - mmengine - INFO - Epoch(train) [48][1300/3757] lr: 8.4100e-03 eta: 2 days, 6:29:35 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 5.8017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5232 loss: 2.5232 2022/07/27 13:02:25 - mmengine - INFO - Epoch(train) [48][1320/3757] lr: 8.4100e-03 eta: 2 days, 6:29:27 time: 0.3982 data_time: 0.0150 memory: 17007 grad_norm: 5.8881 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9874 loss: 1.9874 2022/07/27 13:02:33 - mmengine - INFO - Epoch(train) [48][1340/3757] lr: 8.4100e-03 eta: 2 days, 6:29:19 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 5.9427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7111 loss: 2.7111 2022/07/27 13:02:41 - mmengine - INFO - Epoch(train) [48][1360/3757] lr: 8.4100e-03 eta: 2 days, 6:29:12 time: 0.4029 data_time: 0.0172 memory: 17007 grad_norm: 5.8252 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3882 loss: 2.3882 2022/07/27 13:02:49 - mmengine - INFO - Epoch(train) [48][1380/3757] lr: 8.4100e-03 eta: 2 days, 6:29:04 time: 0.3912 data_time: 0.0156 memory: 17007 grad_norm: 5.8785 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3585 loss: 2.3585 2022/07/27 13:02:56 - mmengine - INFO - Epoch(train) [48][1400/3757] lr: 8.4100e-03 eta: 2 days, 6:28:56 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 5.8150 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5604 loss: 2.5604 2022/07/27 13:03:04 - mmengine - INFO - Epoch(train) [48][1420/3757] lr: 8.4100e-03 eta: 2 days, 6:28:48 time: 0.3964 data_time: 0.0164 memory: 17007 grad_norm: 5.8808 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4523 loss: 2.4523 2022/07/27 13:03:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:03:12 - mmengine - INFO - Epoch(train) [48][1440/3757] lr: 8.4100e-03 eta: 2 days, 6:28:40 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 5.7917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1661 loss: 2.1661 2022/07/27 13:03:20 - mmengine - INFO - Epoch(train) [48][1460/3757] lr: 8.4100e-03 eta: 2 days, 6:28:33 time: 0.3998 data_time: 0.0173 memory: 17007 grad_norm: 5.9691 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6149 loss: 2.6149 2022/07/27 13:03:28 - mmengine - INFO - Epoch(train) [48][1480/3757] lr: 8.4100e-03 eta: 2 days, 6:28:25 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.9205 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3685 loss: 2.3685 2022/07/27 13:03:36 - mmengine - INFO - Epoch(train) [48][1500/3757] lr: 8.4100e-03 eta: 2 days, 6:28:17 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 5.8753 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6623 loss: 2.6623 2022/07/27 13:03:44 - mmengine - INFO - Epoch(train) [48][1520/3757] lr: 8.4100e-03 eta: 2 days, 6:28:09 time: 0.3959 data_time: 0.0161 memory: 17007 grad_norm: 5.8293 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2690 loss: 2.2690 2022/07/27 13:03:52 - mmengine - INFO - Epoch(train) [48][1540/3757] lr: 8.4100e-03 eta: 2 days, 6:28:01 time: 0.3911 data_time: 0.0138 memory: 17007 grad_norm: 5.7775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3394 loss: 2.3394 2022/07/27 13:04:00 - mmengine - INFO - Epoch(train) [48][1560/3757] lr: 8.4100e-03 eta: 2 days, 6:27:53 time: 0.3970 data_time: 0.0179 memory: 17007 grad_norm: 5.9265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2266 loss: 2.2266 2022/07/27 13:04:07 - mmengine - INFO - Epoch(train) [48][1580/3757] lr: 8.4100e-03 eta: 2 days, 6:27:45 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 5.9511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4807 loss: 2.4807 2022/07/27 13:04:15 - mmengine - INFO - Epoch(train) [48][1600/3757] lr: 8.4100e-03 eta: 2 days, 6:27:38 time: 0.3933 data_time: 0.0165 memory: 17007 grad_norm: 5.9846 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2530 loss: 2.2530 2022/07/27 13:04:23 - mmengine - INFO - Epoch(train) [48][1620/3757] lr: 8.4100e-03 eta: 2 days, 6:27:30 time: 0.3927 data_time: 0.0152 memory: 17007 grad_norm: 7.4724 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6118 loss: 2.6118 2022/07/27 13:04:31 - mmengine - INFO - Epoch(train) [48][1640/3757] lr: 8.4100e-03 eta: 2 days, 6:27:22 time: 0.3921 data_time: 0.0159 memory: 17007 grad_norm: 5.8462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6800 loss: 2.6800 2022/07/27 13:04:39 - mmengine - INFO - Epoch(train) [48][1660/3757] lr: 8.4100e-03 eta: 2 days, 6:27:14 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 6.0185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6238 loss: 2.6238 2022/07/27 13:04:47 - mmengine - INFO - Epoch(train) [48][1680/3757] lr: 8.4100e-03 eta: 2 days, 6:27:06 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 5.7570 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3426 loss: 2.3426 2022/07/27 13:04:55 - mmengine - INFO - Epoch(train) [48][1700/3757] lr: 8.4100e-03 eta: 2 days, 6:26:58 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 5.9618 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6231 loss: 2.6231 2022/07/27 13:05:03 - mmengine - INFO - Epoch(train) [48][1720/3757] lr: 8.4100e-03 eta: 2 days, 6:26:50 time: 0.3967 data_time: 0.0169 memory: 17007 grad_norm: 6.0677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6590 loss: 2.6590 2022/07/27 13:05:10 - mmengine - INFO - Epoch(train) [48][1740/3757] lr: 8.4100e-03 eta: 2 days, 6:26:42 time: 0.3907 data_time: 0.0146 memory: 17007 grad_norm: 5.8720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3581 loss: 2.3581 2022/07/27 13:05:18 - mmengine - INFO - Epoch(train) [48][1760/3757] lr: 8.4100e-03 eta: 2 days, 6:26:34 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 5.9280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3626 loss: 2.3626 2022/07/27 13:05:26 - mmengine - INFO - Epoch(train) [48][1780/3757] lr: 8.4100e-03 eta: 2 days, 6:26:27 time: 0.3983 data_time: 0.0161 memory: 17007 grad_norm: 5.9082 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4460 loss: 2.4460 2022/07/27 13:05:34 - mmengine - INFO - Epoch(train) [48][1800/3757] lr: 8.4100e-03 eta: 2 days, 6:26:19 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 6.1970 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4550 loss: 2.4550 2022/07/27 13:05:42 - mmengine - INFO - Epoch(train) [48][1820/3757] lr: 8.4100e-03 eta: 2 days, 6:26:11 time: 0.3949 data_time: 0.0169 memory: 17007 grad_norm: 5.8718 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4241 loss: 2.4241 2022/07/27 13:05:50 - mmengine - INFO - Epoch(train) [48][1840/3757] lr: 8.4100e-03 eta: 2 days, 6:26:03 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 5.9769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2431 loss: 2.2431 2022/07/27 13:05:58 - mmengine - INFO - Epoch(train) [48][1860/3757] lr: 8.4100e-03 eta: 2 days, 6:25:55 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 6.0392 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2757 loss: 2.2757 2022/07/27 13:06:06 - mmengine - INFO - Epoch(train) [48][1880/3757] lr: 8.4100e-03 eta: 2 days, 6:25:47 time: 0.3969 data_time: 0.0159 memory: 17007 grad_norm: 6.0300 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5778 loss: 2.5778 2022/07/27 13:06:13 - mmengine - INFO - Epoch(train) [48][1900/3757] lr: 8.4100e-03 eta: 2 days, 6:25:39 time: 0.3914 data_time: 0.0148 memory: 17007 grad_norm: 5.9712 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3576 loss: 2.3576 2022/07/27 13:06:21 - mmengine - INFO - Epoch(train) [48][1920/3757] lr: 8.4100e-03 eta: 2 days, 6:25:32 time: 0.3952 data_time: 0.0165 memory: 17007 grad_norm: 6.0652 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5183 loss: 2.5183 2022/07/27 13:06:29 - mmengine - INFO - Epoch(train) [48][1940/3757] lr: 8.4100e-03 eta: 2 days, 6:25:24 time: 0.3915 data_time: 0.0147 memory: 17007 grad_norm: 5.9703 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4161 loss: 2.4161 2022/07/27 13:06:37 - mmengine - INFO - Epoch(train) [48][1960/3757] lr: 8.4100e-03 eta: 2 days, 6:25:16 time: 0.3939 data_time: 0.0171 memory: 17007 grad_norm: 5.8177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5746 loss: 2.5746 2022/07/27 13:06:45 - mmengine - INFO - Epoch(train) [48][1980/3757] lr: 8.4100e-03 eta: 2 days, 6:25:08 time: 0.3926 data_time: 0.0163 memory: 17007 grad_norm: 5.9374 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2938 loss: 2.2938 2022/07/27 13:06:53 - mmengine - INFO - Epoch(train) [48][2000/3757] lr: 8.4100e-03 eta: 2 days, 6:25:00 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 6.0569 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5843 loss: 2.5843 2022/07/27 13:07:01 - mmengine - INFO - Epoch(train) [48][2020/3757] lr: 8.4100e-03 eta: 2 days, 6:24:52 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 6.0056 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4064 loss: 2.4064 2022/07/27 13:07:09 - mmengine - INFO - Epoch(train) [48][2040/3757] lr: 8.4100e-03 eta: 2 days, 6:24:44 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 6.0548 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6063 loss: 2.6063 2022/07/27 13:07:16 - mmengine - INFO - Epoch(train) [48][2060/3757] lr: 8.4100e-03 eta: 2 days, 6:24:36 time: 0.3919 data_time: 0.0146 memory: 17007 grad_norm: 5.8027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2046 loss: 2.2046 2022/07/27 13:07:24 - mmengine - INFO - Epoch(train) [48][2080/3757] lr: 8.4100e-03 eta: 2 days, 6:24:29 time: 0.4008 data_time: 0.0162 memory: 17007 grad_norm: 6.1264 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4184 loss: 2.4184 2022/07/27 13:07:32 - mmengine - INFO - Epoch(train) [48][2100/3757] lr: 8.4100e-03 eta: 2 days, 6:24:21 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 5.8505 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4848 loss: 2.4848 2022/07/27 13:07:40 - mmengine - INFO - Epoch(train) [48][2120/3757] lr: 8.4100e-03 eta: 2 days, 6:24:13 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 5.8269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6959 loss: 2.6959 2022/07/27 13:07:48 - mmengine - INFO - Epoch(train) [48][2140/3757] lr: 8.4100e-03 eta: 2 days, 6:24:05 time: 0.3908 data_time: 0.0137 memory: 17007 grad_norm: 5.7624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1392 loss: 2.1392 2022/07/27 13:07:56 - mmengine - INFO - Epoch(train) [48][2160/3757] lr: 8.4100e-03 eta: 2 days, 6:23:57 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 6.1332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3220 loss: 2.3220 2022/07/27 13:08:04 - mmengine - INFO - Epoch(train) [48][2180/3757] lr: 8.4100e-03 eta: 2 days, 6:23:49 time: 0.3942 data_time: 0.0171 memory: 17007 grad_norm: 5.8715 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3302 loss: 2.3302 2022/07/27 13:08:12 - mmengine - INFO - Epoch(train) [48][2200/3757] lr: 8.4100e-03 eta: 2 days, 6:23:41 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 6.0768 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7823 loss: 2.7823 2022/07/27 13:08:19 - mmengine - INFO - Epoch(train) [48][2220/3757] lr: 8.4100e-03 eta: 2 days, 6:23:33 time: 0.3945 data_time: 0.0163 memory: 17007 grad_norm: 6.0794 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3902 loss: 2.3902 2022/07/27 13:08:27 - mmengine - INFO - Epoch(train) [48][2240/3757] lr: 8.4100e-03 eta: 2 days, 6:23:25 time: 0.3916 data_time: 0.0157 memory: 17007 grad_norm: 5.8697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6097 loss: 2.6097 2022/07/27 13:08:35 - mmengine - INFO - Epoch(train) [48][2260/3757] lr: 8.4100e-03 eta: 2 days, 6:23:17 time: 0.3919 data_time: 0.0149 memory: 17007 grad_norm: 5.8920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6173 loss: 2.6173 2022/07/27 13:08:43 - mmengine - INFO - Epoch(train) [48][2280/3757] lr: 8.4100e-03 eta: 2 days, 6:23:10 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 6.0238 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4059 loss: 2.4059 2022/07/27 13:08:51 - mmengine - INFO - Epoch(train) [48][2300/3757] lr: 8.4100e-03 eta: 2 days, 6:23:02 time: 0.3933 data_time: 0.0148 memory: 17007 grad_norm: 6.1466 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4368 loss: 2.4368 2022/07/27 13:08:59 - mmengine - INFO - Epoch(train) [48][2320/3757] lr: 8.4100e-03 eta: 2 days, 6:22:54 time: 0.3954 data_time: 0.0166 memory: 17007 grad_norm: 6.0280 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3855 loss: 2.3855 2022/07/27 13:09:07 - mmengine - INFO - Epoch(train) [48][2340/3757] lr: 8.4100e-03 eta: 2 days, 6:22:46 time: 0.3946 data_time: 0.0135 memory: 17007 grad_norm: 5.9803 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4225 loss: 2.4225 2022/07/27 13:09:15 - mmengine - INFO - Epoch(train) [48][2360/3757] lr: 8.4100e-03 eta: 2 days, 6:22:38 time: 0.3936 data_time: 0.0167 memory: 17007 grad_norm: 6.1593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5848 loss: 2.5848 2022/07/27 13:09:23 - mmengine - INFO - Epoch(train) [48][2380/3757] lr: 8.4100e-03 eta: 2 days, 6:22:32 time: 0.4170 data_time: 0.0157 memory: 17007 grad_norm: 5.8547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1138 loss: 2.1138 2022/07/27 13:09:31 - mmengine - INFO - Epoch(train) [48][2400/3757] lr: 8.4100e-03 eta: 2 days, 6:22:24 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 6.0001 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4819 loss: 2.4819 2022/07/27 13:09:39 - mmengine - INFO - Epoch(train) [48][2420/3757] lr: 8.4100e-03 eta: 2 days, 6:22:16 time: 0.3916 data_time: 0.0144 memory: 17007 grad_norm: 5.8878 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4549 loss: 2.4549 2022/07/27 13:09:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:09:47 - mmengine - INFO - Epoch(train) [48][2440/3757] lr: 8.4100e-03 eta: 2 days, 6:22:08 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 5.8066 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5326 loss: 2.5326 2022/07/27 13:09:54 - mmengine - INFO - Epoch(train) [48][2460/3757] lr: 8.4100e-03 eta: 2 days, 6:22:00 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 5.8994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2813 loss: 2.2813 2022/07/27 13:10:02 - mmengine - INFO - Epoch(train) [48][2480/3757] lr: 8.4100e-03 eta: 2 days, 6:21:52 time: 0.3954 data_time: 0.0168 memory: 17007 grad_norm: 5.9836 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4923 loss: 2.4923 2022/07/27 13:10:10 - mmengine - INFO - Epoch(train) [48][2500/3757] lr: 8.4100e-03 eta: 2 days, 6:21:44 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 5.9380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4999 loss: 2.4999 2022/07/27 13:10:18 - mmengine - INFO - Epoch(train) [48][2520/3757] lr: 8.4100e-03 eta: 2 days, 6:21:37 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 5.9222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2147 loss: 2.2147 2022/07/27 13:10:26 - mmengine - INFO - Epoch(train) [48][2540/3757] lr: 8.4100e-03 eta: 2 days, 6:21:29 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 5.8026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7231 loss: 2.7231 2022/07/27 13:10:34 - mmengine - INFO - Epoch(train) [48][2560/3757] lr: 8.4100e-03 eta: 2 days, 6:21:21 time: 0.3936 data_time: 0.0157 memory: 17007 grad_norm: 6.0474 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5911 loss: 2.5911 2022/07/27 13:10:42 - mmengine - INFO - Epoch(train) [48][2580/3757] lr: 8.4100e-03 eta: 2 days, 6:21:13 time: 0.3917 data_time: 0.0144 memory: 17007 grad_norm: 5.9973 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5199 loss: 2.5199 2022/07/27 13:10:50 - mmengine - INFO - Epoch(train) [48][2600/3757] lr: 8.4100e-03 eta: 2 days, 6:21:05 time: 0.3956 data_time: 0.0151 memory: 17007 grad_norm: 5.7818 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0333 loss: 2.0333 2022/07/27 13:10:57 - mmengine - INFO - Epoch(train) [48][2620/3757] lr: 8.4100e-03 eta: 2 days, 6:20:57 time: 0.3908 data_time: 0.0154 memory: 17007 grad_norm: 5.9264 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3648 loss: 2.3648 2022/07/27 13:11:05 - mmengine - INFO - Epoch(train) [48][2640/3757] lr: 8.4100e-03 eta: 2 days, 6:20:49 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 5.8118 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5331 loss: 2.5331 2022/07/27 13:11:13 - mmengine - INFO - Epoch(train) [48][2660/3757] lr: 8.4100e-03 eta: 2 days, 6:20:41 time: 0.3927 data_time: 0.0157 memory: 17007 grad_norm: 5.8556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2519 loss: 2.2519 2022/07/27 13:11:21 - mmengine - INFO - Epoch(train) [48][2680/3757] lr: 8.4100e-03 eta: 2 days, 6:20:34 time: 0.3989 data_time: 0.0168 memory: 17007 grad_norm: 5.9269 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2811 loss: 2.2811 2022/07/27 13:11:29 - mmengine - INFO - Epoch(train) [48][2700/3757] lr: 8.4100e-03 eta: 2 days, 6:20:26 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 6.0683 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6514 loss: 2.6514 2022/07/27 13:11:37 - mmengine - INFO - Epoch(train) [48][2720/3757] lr: 8.4100e-03 eta: 2 days, 6:20:18 time: 0.3943 data_time: 0.0173 memory: 17007 grad_norm: 5.9479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6301 loss: 2.6301 2022/07/27 13:11:45 - mmengine - INFO - Epoch(train) [48][2740/3757] lr: 8.4100e-03 eta: 2 days, 6:20:10 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 5.9164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4975 loss: 2.4975 2022/07/27 13:11:53 - mmengine - INFO - Epoch(train) [48][2760/3757] lr: 8.4100e-03 eta: 2 days, 6:20:02 time: 0.3942 data_time: 0.0171 memory: 17007 grad_norm: 6.1238 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2049 loss: 2.2049 2022/07/27 13:12:01 - mmengine - INFO - Epoch(train) [48][2780/3757] lr: 8.4100e-03 eta: 2 days, 6:19:54 time: 0.3950 data_time: 0.0174 memory: 17007 grad_norm: 5.7955 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2695 loss: 2.2695 2022/07/27 13:12:08 - mmengine - INFO - Epoch(train) [48][2800/3757] lr: 8.4100e-03 eta: 2 days, 6:19:47 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 5.9790 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4008 loss: 2.4008 2022/07/27 13:12:16 - mmengine - INFO - Epoch(train) [48][2820/3757] lr: 8.4100e-03 eta: 2 days, 6:19:39 time: 0.3974 data_time: 0.0163 memory: 17007 grad_norm: 5.9704 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4595 loss: 2.4595 2022/07/27 13:12:24 - mmengine - INFO - Epoch(train) [48][2840/3757] lr: 8.4100e-03 eta: 2 days, 6:19:31 time: 0.3986 data_time: 0.0172 memory: 17007 grad_norm: 5.9592 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4620 loss: 2.4620 2022/07/27 13:12:32 - mmengine - INFO - Epoch(train) [48][2860/3757] lr: 8.4100e-03 eta: 2 days, 6:19:23 time: 0.3911 data_time: 0.0153 memory: 17007 grad_norm: 5.9603 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6502 loss: 2.6502 2022/07/27 13:12:41 - mmengine - INFO - Epoch(train) [48][2880/3757] lr: 8.4100e-03 eta: 2 days, 6:19:17 time: 0.4259 data_time: 0.0150 memory: 17007 grad_norm: 5.9754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2616 loss: 2.2616 2022/07/27 13:12:49 - mmengine - INFO - Epoch(train) [48][2900/3757] lr: 8.4100e-03 eta: 2 days, 6:19:09 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.8629 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5797 loss: 2.5797 2022/07/27 13:12:56 - mmengine - INFO - Epoch(train) [48][2920/3757] lr: 8.4100e-03 eta: 2 days, 6:19:01 time: 0.3934 data_time: 0.0164 memory: 17007 grad_norm: 6.0814 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6396 loss: 2.6396 2022/07/27 13:13:04 - mmengine - INFO - Epoch(train) [48][2940/3757] lr: 8.4100e-03 eta: 2 days, 6:18:54 time: 0.3965 data_time: 0.0162 memory: 17007 grad_norm: 5.8369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3572 loss: 2.3572 2022/07/27 13:13:12 - mmengine - INFO - Epoch(train) [48][2960/3757] lr: 8.4100e-03 eta: 2 days, 6:18:46 time: 0.3929 data_time: 0.0163 memory: 17007 grad_norm: 6.0096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3977 loss: 2.3977 2022/07/27 13:13:21 - mmengine - INFO - Epoch(train) [48][2980/3757] lr: 8.4100e-03 eta: 2 days, 6:18:40 time: 0.4274 data_time: 0.0164 memory: 17007 grad_norm: 5.7992 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3991 loss: 2.3991 2022/07/27 13:13:29 - mmengine - INFO - Epoch(train) [48][3000/3757] lr: 8.4100e-03 eta: 2 days, 6:18:32 time: 0.3924 data_time: 0.0158 memory: 17007 grad_norm: 5.8869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4254 loss: 2.4254 2022/07/27 13:13:37 - mmengine - INFO - Epoch(train) [48][3020/3757] lr: 8.4100e-03 eta: 2 days, 6:18:24 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 6.0480 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3441 loss: 2.3441 2022/07/27 13:13:44 - mmengine - INFO - Epoch(train) [48][3040/3757] lr: 8.4100e-03 eta: 2 days, 6:18:16 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 5.8757 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6900 loss: 2.6900 2022/07/27 13:13:52 - mmengine - INFO - Epoch(train) [48][3060/3757] lr: 8.4100e-03 eta: 2 days, 6:18:08 time: 0.3934 data_time: 0.0169 memory: 17007 grad_norm: 5.7848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3128 loss: 2.3128 2022/07/27 13:14:00 - mmengine - INFO - Epoch(train) [48][3080/3757] lr: 8.4100e-03 eta: 2 days, 6:18:00 time: 0.3928 data_time: 0.0166 memory: 17007 grad_norm: 5.8309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1615 loss: 2.1615 2022/07/27 13:14:08 - mmengine - INFO - Epoch(train) [48][3100/3757] lr: 8.4100e-03 eta: 2 days, 6:17:52 time: 0.3919 data_time: 0.0139 memory: 17007 grad_norm: 6.2395 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2665 loss: 2.2665 2022/07/27 13:14:16 - mmengine - INFO - Epoch(train) [48][3120/3757] lr: 8.4100e-03 eta: 2 days, 6:17:44 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 5.9708 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4876 loss: 2.4876 2022/07/27 13:14:24 - mmengine - INFO - Epoch(train) [48][3140/3757] lr: 8.4100e-03 eta: 2 days, 6:17:37 time: 0.3973 data_time: 0.0160 memory: 17007 grad_norm: 5.8129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2891 loss: 2.2891 2022/07/27 13:14:32 - mmengine - INFO - Epoch(train) [48][3160/3757] lr: 8.4100e-03 eta: 2 days, 6:17:29 time: 0.3926 data_time: 0.0162 memory: 17007 grad_norm: 5.6864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4781 loss: 2.4781 2022/07/27 13:14:40 - mmengine - INFO - Epoch(train) [48][3180/3757] lr: 8.4100e-03 eta: 2 days, 6:17:21 time: 0.3928 data_time: 0.0149 memory: 17007 grad_norm: 5.8297 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6133 loss: 2.6133 2022/07/27 13:14:47 - mmengine - INFO - Epoch(train) [48][3200/3757] lr: 8.4100e-03 eta: 2 days, 6:17:13 time: 0.3939 data_time: 0.0163 memory: 17007 grad_norm: 6.1722 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3444 loss: 2.3444 2022/07/27 13:14:55 - mmengine - INFO - Epoch(train) [48][3220/3757] lr: 8.4100e-03 eta: 2 days, 6:17:05 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 6.0317 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5935 loss: 2.5935 2022/07/27 13:15:03 - mmengine - INFO - Epoch(train) [48][3240/3757] lr: 8.4100e-03 eta: 2 days, 6:16:57 time: 0.3961 data_time: 0.0172 memory: 17007 grad_norm: 5.7841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4000 loss: 2.4000 2022/07/27 13:15:11 - mmengine - INFO - Epoch(train) [48][3260/3757] lr: 8.4100e-03 eta: 2 days, 6:16:49 time: 0.3904 data_time: 0.0142 memory: 17007 grad_norm: 6.1083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7477 loss: 2.7477 2022/07/27 13:15:19 - mmengine - INFO - Epoch(train) [48][3280/3757] lr: 8.4100e-03 eta: 2 days, 6:16:41 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 5.8743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1302 loss: 2.1302 2022/07/27 13:15:27 - mmengine - INFO - Epoch(train) [48][3300/3757] lr: 8.4100e-03 eta: 2 days, 6:16:34 time: 0.3947 data_time: 0.0166 memory: 17007 grad_norm: 5.8538 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4499 loss: 2.4499 2022/07/27 13:15:35 - mmengine - INFO - Epoch(train) [48][3320/3757] lr: 8.4100e-03 eta: 2 days, 6:16:26 time: 0.3926 data_time: 0.0162 memory: 17007 grad_norm: 6.0938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3478 loss: 2.3478 2022/07/27 13:15:43 - mmengine - INFO - Epoch(train) [48][3340/3757] lr: 8.4100e-03 eta: 2 days, 6:16:18 time: 0.4016 data_time: 0.0160 memory: 17007 grad_norm: 5.8127 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2933 loss: 2.2933 2022/07/27 13:15:51 - mmengine - INFO - Epoch(train) [48][3360/3757] lr: 8.4100e-03 eta: 2 days, 6:16:11 time: 0.3971 data_time: 0.0168 memory: 17007 grad_norm: 5.7814 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2912 loss: 2.2912 2022/07/27 13:15:58 - mmengine - INFO - Epoch(train) [48][3380/3757] lr: 8.4100e-03 eta: 2 days, 6:16:03 time: 0.3920 data_time: 0.0150 memory: 17007 grad_norm: 5.9488 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5238 loss: 2.5238 2022/07/27 13:16:06 - mmengine - INFO - Epoch(train) [48][3400/3757] lr: 8.4100e-03 eta: 2 days, 6:15:55 time: 0.3937 data_time: 0.0156 memory: 17007 grad_norm: 5.9487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5582 loss: 2.5582 2022/07/27 13:16:14 - mmengine - INFO - Epoch(train) [48][3420/3757] lr: 8.4100e-03 eta: 2 days, 6:15:47 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 5.9538 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7394 loss: 2.7394 2022/07/27 13:16:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:16:22 - mmengine - INFO - Epoch(train) [48][3440/3757] lr: 8.4100e-03 eta: 2 days, 6:15:39 time: 0.3973 data_time: 0.0174 memory: 17007 grad_norm: 6.1605 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5167 loss: 2.5167 2022/07/27 13:16:30 - mmengine - INFO - Epoch(train) [48][3460/3757] lr: 8.4100e-03 eta: 2 days, 6:15:31 time: 0.3918 data_time: 0.0145 memory: 17007 grad_norm: 6.0123 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4329 loss: 2.4329 2022/07/27 13:16:38 - mmengine - INFO - Epoch(train) [48][3480/3757] lr: 8.4100e-03 eta: 2 days, 6:15:23 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 5.8916 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5124 loss: 2.5124 2022/07/27 13:16:46 - mmengine - INFO - Epoch(train) [48][3500/3757] lr: 8.4100e-03 eta: 2 days, 6:15:16 time: 0.3960 data_time: 0.0150 memory: 17007 grad_norm: 6.0816 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3840 loss: 2.3840 2022/07/27 13:16:54 - mmengine - INFO - Epoch(train) [48][3520/3757] lr: 8.4100e-03 eta: 2 days, 6:15:08 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 5.7034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6261 loss: 2.6261 2022/07/27 13:17:02 - mmengine - INFO - Epoch(train) [48][3540/3757] lr: 8.4100e-03 eta: 2 days, 6:15:01 time: 0.4064 data_time: 0.0160 memory: 17007 grad_norm: 5.9828 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5993 loss: 2.5993 2022/07/27 13:17:10 - mmengine - INFO - Epoch(train) [48][3560/3757] lr: 8.4100e-03 eta: 2 days, 6:14:53 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 5.8590 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3994 loss: 2.3994 2022/07/27 13:17:18 - mmengine - INFO - Epoch(train) [48][3580/3757] lr: 8.4100e-03 eta: 2 days, 6:14:45 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 5.9680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4399 loss: 2.4399 2022/07/27 13:17:26 - mmengine - INFO - Epoch(train) [48][3600/3757] lr: 8.4100e-03 eta: 2 days, 6:14:37 time: 0.3955 data_time: 0.0162 memory: 17007 grad_norm: 5.8565 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5348 loss: 2.5348 2022/07/27 13:17:33 - mmengine - INFO - Epoch(train) [48][3620/3757] lr: 8.4100e-03 eta: 2 days, 6:14:29 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 6.0206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6881 loss: 2.6881 2022/07/27 13:17:41 - mmengine - INFO - Epoch(train) [48][3640/3757] lr: 8.4100e-03 eta: 2 days, 6:14:21 time: 0.3969 data_time: 0.0158 memory: 17007 grad_norm: 5.9445 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3511 loss: 2.3511 2022/07/27 13:17:49 - mmengine - INFO - Epoch(train) [48][3660/3757] lr: 8.4100e-03 eta: 2 days, 6:14:13 time: 0.3920 data_time: 0.0145 memory: 17007 grad_norm: 5.8178 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9378 loss: 1.9378 2022/07/27 13:17:57 - mmengine - INFO - Epoch(train) [48][3680/3757] lr: 8.4100e-03 eta: 2 days, 6:14:06 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 6.1611 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1660 loss: 2.1660 2022/07/27 13:18:05 - mmengine - INFO - Epoch(train) [48][3700/3757] lr: 8.4100e-03 eta: 2 days, 6:13:58 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 6.0622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3137 loss: 2.3137 2022/07/27 13:18:13 - mmengine - INFO - Epoch(train) [48][3720/3757] lr: 8.4100e-03 eta: 2 days, 6:13:50 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 5.9876 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6136 loss: 2.6136 2022/07/27 13:18:21 - mmengine - INFO - Epoch(train) [48][3740/3757] lr: 8.4100e-03 eta: 2 days, 6:13:43 time: 0.4071 data_time: 0.0171 memory: 17007 grad_norm: 6.0027 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2524 loss: 2.2524 2022/07/27 13:18:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:18:28 - mmengine - INFO - Epoch(train) [48][3757/3757] lr: 8.4100e-03 eta: 2 days, 6:13:43 time: 0.4030 data_time: 0.0174 memory: 17007 grad_norm: 6.1131 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.2887 loss: 2.2887 2022/07/27 13:18:28 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/07/27 13:18:40 - mmengine - INFO - Epoch(train) [49][20/3757] lr: 8.3457e-03 eta: 2 days, 6:13:12 time: 0.4371 data_time: 0.0604 memory: 17007 grad_norm: 5.9801 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3427 loss: 2.3427 2022/07/27 13:18:48 - mmengine - INFO - Epoch(train) [49][40/3757] lr: 8.3457e-03 eta: 2 days, 6:13:04 time: 0.3991 data_time: 0.0174 memory: 17007 grad_norm: 6.0597 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6275 loss: 2.6275 2022/07/27 13:18:55 - mmengine - INFO - Epoch(train) [49][60/3757] lr: 8.3457e-03 eta: 2 days, 6:12:56 time: 0.3912 data_time: 0.0148 memory: 17007 grad_norm: 6.0668 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5510 loss: 2.5510 2022/07/27 13:19:04 - mmengine - INFO - Epoch(train) [49][80/3757] lr: 8.3457e-03 eta: 2 days, 6:12:50 time: 0.4107 data_time: 0.0178 memory: 17007 grad_norm: 5.8491 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0074 loss: 2.0074 2022/07/27 13:19:11 - mmengine - INFO - Epoch(train) [49][100/3757] lr: 8.3457e-03 eta: 2 days, 6:12:42 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 5.8899 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6061 loss: 2.6061 2022/07/27 13:19:19 - mmengine - INFO - Epoch(train) [49][120/3757] lr: 8.3457e-03 eta: 2 days, 6:12:34 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 5.6558 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3087 loss: 2.3087 2022/07/27 13:19:27 - mmengine - INFO - Epoch(train) [49][140/3757] lr: 8.3457e-03 eta: 2 days, 6:12:26 time: 0.3985 data_time: 0.0161 memory: 17007 grad_norm: 6.0969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5058 loss: 2.5058 2022/07/27 13:19:35 - mmengine - INFO - Epoch(train) [49][160/3757] lr: 8.3457e-03 eta: 2 days, 6:12:18 time: 0.3931 data_time: 0.0160 memory: 17007 grad_norm: 5.8925 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3037 loss: 2.3037 2022/07/27 13:19:43 - mmengine - INFO - Epoch(train) [49][180/3757] lr: 8.3457e-03 eta: 2 days, 6:12:10 time: 0.3948 data_time: 0.0163 memory: 17007 grad_norm: 5.6714 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2947 loss: 2.2947 2022/07/27 13:19:51 - mmengine - INFO - Epoch(train) [49][200/3757] lr: 8.3457e-03 eta: 2 days, 6:12:03 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 5.7290 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0682 loss: 2.0682 2022/07/27 13:19:59 - mmengine - INFO - Epoch(train) [49][220/3757] lr: 8.3457e-03 eta: 2 days, 6:11:55 time: 0.3922 data_time: 0.0144 memory: 17007 grad_norm: 5.8338 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1955 loss: 2.1955 2022/07/27 13:20:07 - mmengine - INFO - Epoch(train) [49][240/3757] lr: 8.3457e-03 eta: 2 days, 6:11:47 time: 0.3949 data_time: 0.0168 memory: 17007 grad_norm: 6.0023 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6564 loss: 2.6564 2022/07/27 13:20:15 - mmengine - INFO - Epoch(train) [49][260/3757] lr: 8.3457e-03 eta: 2 days, 6:11:39 time: 0.3950 data_time: 0.0137 memory: 17007 grad_norm: 5.8636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6032 loss: 2.6032 2022/07/27 13:20:22 - mmengine - INFO - Epoch(train) [49][280/3757] lr: 8.3457e-03 eta: 2 days, 6:11:31 time: 0.3956 data_time: 0.0164 memory: 17007 grad_norm: 5.9949 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0899 loss: 2.0899 2022/07/27 13:20:30 - mmengine - INFO - Epoch(train) [49][300/3757] lr: 8.3457e-03 eta: 2 days, 6:11:23 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 5.9204 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4021 loss: 2.4021 2022/07/27 13:20:38 - mmengine - INFO - Epoch(train) [49][320/3757] lr: 8.3457e-03 eta: 2 days, 6:11:15 time: 0.3915 data_time: 0.0159 memory: 17007 grad_norm: 6.1040 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4122 loss: 2.4122 2022/07/27 13:20:46 - mmengine - INFO - Epoch(train) [49][340/3757] lr: 8.3457e-03 eta: 2 days, 6:11:08 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 6.1167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2105 loss: 2.2105 2022/07/27 13:20:54 - mmengine - INFO - Epoch(train) [49][360/3757] lr: 8.3457e-03 eta: 2 days, 6:11:00 time: 0.3948 data_time: 0.0178 memory: 17007 grad_norm: 5.8995 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2163 loss: 2.2163 2022/07/27 13:21:02 - mmengine - INFO - Epoch(train) [49][380/3757] lr: 8.3457e-03 eta: 2 days, 6:10:52 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 5.7391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4542 loss: 2.4542 2022/07/27 13:21:10 - mmengine - INFO - Epoch(train) [49][400/3757] lr: 8.3457e-03 eta: 2 days, 6:10:44 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 5.8593 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3063 loss: 2.3063 2022/07/27 13:21:18 - mmengine - INFO - Epoch(train) [49][420/3757] lr: 8.3457e-03 eta: 2 days, 6:10:36 time: 0.3943 data_time: 0.0142 memory: 17007 grad_norm: 5.9730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2224 loss: 2.2224 2022/07/27 13:21:26 - mmengine - INFO - Epoch(train) [49][440/3757] lr: 8.3457e-03 eta: 2 days, 6:10:28 time: 0.3951 data_time: 0.0167 memory: 17007 grad_norm: 5.9482 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5290 loss: 2.5290 2022/07/27 13:21:33 - mmengine - INFO - Epoch(train) [49][460/3757] lr: 8.3457e-03 eta: 2 days, 6:10:20 time: 0.3913 data_time: 0.0152 memory: 17007 grad_norm: 5.9027 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5360 loss: 2.5360 2022/07/27 13:21:41 - mmengine - INFO - Epoch(train) [49][480/3757] lr: 8.3457e-03 eta: 2 days, 6:10:12 time: 0.3948 data_time: 0.0164 memory: 17007 grad_norm: 5.9228 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5260 loss: 2.5260 2022/07/27 13:21:49 - mmengine - INFO - Epoch(train) [49][500/3757] lr: 8.3457e-03 eta: 2 days, 6:10:05 time: 0.3916 data_time: 0.0145 memory: 17007 grad_norm: 5.8494 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3471 loss: 2.3471 2022/07/27 13:21:57 - mmengine - INFO - Epoch(train) [49][520/3757] lr: 8.3457e-03 eta: 2 days, 6:09:57 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 6.0105 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1199 loss: 2.1199 2022/07/27 13:22:05 - mmengine - INFO - Epoch(train) [49][540/3757] lr: 8.3457e-03 eta: 2 days, 6:09:49 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 5.9641 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5653 loss: 2.5653 2022/07/27 13:22:13 - mmengine - INFO - Epoch(train) [49][560/3757] lr: 8.3457e-03 eta: 2 days, 6:09:41 time: 0.3940 data_time: 0.0170 memory: 17007 grad_norm: 5.9070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7030 loss: 2.7030 2022/07/27 13:22:21 - mmengine - INFO - Epoch(train) [49][580/3757] lr: 8.3457e-03 eta: 2 days, 6:09:33 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 5.9238 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4217 loss: 2.4217 2022/07/27 13:22:28 - mmengine - INFO - Epoch(train) [49][600/3757] lr: 8.3457e-03 eta: 2 days, 6:09:25 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 5.9329 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3409 loss: 2.3409 2022/07/27 13:22:36 - mmengine - INFO - Epoch(train) [49][620/3757] lr: 8.3457e-03 eta: 2 days, 6:09:17 time: 0.3916 data_time: 0.0142 memory: 17007 grad_norm: 6.0643 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4225 loss: 2.4225 2022/07/27 13:22:44 - mmengine - INFO - Epoch(train) [49][640/3757] lr: 8.3457e-03 eta: 2 days, 6:09:09 time: 0.3982 data_time: 0.0166 memory: 17007 grad_norm: 5.8559 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1530 loss: 2.1530 2022/07/27 13:22:52 - mmengine - INFO - Epoch(train) [49][660/3757] lr: 8.3457e-03 eta: 2 days, 6:09:02 time: 0.4016 data_time: 0.0152 memory: 17007 grad_norm: 6.9443 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3787 loss: 2.3787 2022/07/27 13:22:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:23:00 - mmengine - INFO - Epoch(train) [49][680/3757] lr: 8.3457e-03 eta: 2 days, 6:08:54 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 6.4094 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1760 loss: 2.1760 2022/07/27 13:23:08 - mmengine - INFO - Epoch(train) [49][700/3757] lr: 8.3457e-03 eta: 2 days, 6:08:46 time: 0.3907 data_time: 0.0134 memory: 17007 grad_norm: 6.0634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6834 loss: 2.6834 2022/07/27 13:23:16 - mmengine - INFO - Epoch(train) [49][720/3757] lr: 8.3457e-03 eta: 2 days, 6:08:38 time: 0.3941 data_time: 0.0172 memory: 17007 grad_norm: 6.2905 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7145 loss: 2.7145 2022/07/27 13:23:24 - mmengine - INFO - Epoch(train) [49][740/3757] lr: 8.3457e-03 eta: 2 days, 6:08:30 time: 0.3921 data_time: 0.0135 memory: 17007 grad_norm: 5.8930 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4866 loss: 2.4866 2022/07/27 13:23:32 - mmengine - INFO - Epoch(train) [49][760/3757] lr: 8.3457e-03 eta: 2 days, 6:08:22 time: 0.3941 data_time: 0.0180 memory: 17007 grad_norm: 5.9922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0840 loss: 2.0840 2022/07/27 13:23:39 - mmengine - INFO - Epoch(train) [49][780/3757] lr: 8.3457e-03 eta: 2 days, 6:08:15 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 5.8185 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4584 loss: 2.4584 2022/07/27 13:23:47 - mmengine - INFO - Epoch(train) [49][800/3757] lr: 8.3457e-03 eta: 2 days, 6:08:07 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 6.1417 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7920 loss: 2.7920 2022/07/27 13:23:55 - mmengine - INFO - Epoch(train) [49][820/3757] lr: 8.3457e-03 eta: 2 days, 6:07:59 time: 0.3937 data_time: 0.0171 memory: 17007 grad_norm: 5.9271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0328 loss: 2.0328 2022/07/27 13:24:03 - mmengine - INFO - Epoch(train) [49][840/3757] lr: 8.3457e-03 eta: 2 days, 6:07:51 time: 0.3960 data_time: 0.0166 memory: 17007 grad_norm: 5.7747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5139 loss: 2.5139 2022/07/27 13:24:11 - mmengine - INFO - Epoch(train) [49][860/3757] lr: 8.3457e-03 eta: 2 days, 6:07:43 time: 0.3954 data_time: 0.0155 memory: 17007 grad_norm: 5.9775 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7304 loss: 2.7304 2022/07/27 13:24:19 - mmengine - INFO - Epoch(train) [49][880/3757] lr: 8.3457e-03 eta: 2 days, 6:07:35 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 6.0349 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3750 loss: 2.3750 2022/07/27 13:24:27 - mmengine - INFO - Epoch(train) [49][900/3757] lr: 8.3457e-03 eta: 2 days, 6:07:28 time: 0.3935 data_time: 0.0141 memory: 17007 grad_norm: 5.7383 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6948 loss: 2.6948 2022/07/27 13:24:35 - mmengine - INFO - Epoch(train) [49][920/3757] lr: 8.3457e-03 eta: 2 days, 6:07:20 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.9896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5809 loss: 2.5809 2022/07/27 13:24:43 - mmengine - INFO - Epoch(train) [49][940/3757] lr: 8.3457e-03 eta: 2 days, 6:07:12 time: 0.3976 data_time: 0.0159 memory: 17007 grad_norm: 6.0722 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1843 loss: 2.1843 2022/07/27 13:24:51 - mmengine - INFO - Epoch(train) [49][960/3757] lr: 8.3457e-03 eta: 2 days, 6:07:04 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 5.6738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1234 loss: 2.1234 2022/07/27 13:24:58 - mmengine - INFO - Epoch(train) [49][980/3757] lr: 8.3457e-03 eta: 2 days, 6:06:56 time: 0.3925 data_time: 0.0141 memory: 17007 grad_norm: 5.7590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1044 loss: 2.1044 2022/07/27 13:25:06 - mmengine - INFO - Epoch(train) [49][1000/3757] lr: 8.3457e-03 eta: 2 days, 6:06:48 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 5.9348 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0348 loss: 2.0348 2022/07/27 13:25:14 - mmengine - INFO - Epoch(train) [49][1020/3757] lr: 8.3457e-03 eta: 2 days, 6:06:40 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 6.1593 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6822 loss: 2.6822 2022/07/27 13:25:22 - mmengine - INFO - Epoch(train) [49][1040/3757] lr: 8.3457e-03 eta: 2 days, 6:06:33 time: 0.3935 data_time: 0.0164 memory: 17007 grad_norm: 6.0198 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3340 loss: 2.3340 2022/07/27 13:25:30 - mmengine - INFO - Epoch(train) [49][1060/3757] lr: 8.3457e-03 eta: 2 days, 6:06:25 time: 0.3911 data_time: 0.0148 memory: 17007 grad_norm: 5.9831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3663 loss: 2.3663 2022/07/27 13:25:38 - mmengine - INFO - Epoch(train) [49][1080/3757] lr: 8.3457e-03 eta: 2 days, 6:06:17 time: 0.3936 data_time: 0.0172 memory: 17007 grad_norm: 6.1182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3794 loss: 2.3794 2022/07/27 13:25:46 - mmengine - INFO - Epoch(train) [49][1100/3757] lr: 8.3457e-03 eta: 2 days, 6:06:09 time: 0.3983 data_time: 0.0152 memory: 17007 grad_norm: 6.0052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0830 loss: 2.0830 2022/07/27 13:25:54 - mmengine - INFO - Epoch(train) [49][1120/3757] lr: 8.3457e-03 eta: 2 days, 6:06:02 time: 0.3991 data_time: 0.0168 memory: 17007 grad_norm: 6.0844 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2530 loss: 2.2530 2022/07/27 13:26:02 - mmengine - INFO - Epoch(train) [49][1140/3757] lr: 8.3457e-03 eta: 2 days, 6:05:54 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 6.0905 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4168 loss: 2.4168 2022/07/27 13:26:09 - mmengine - INFO - Epoch(train) [49][1160/3757] lr: 8.3457e-03 eta: 2 days, 6:05:46 time: 0.3928 data_time: 0.0165 memory: 17007 grad_norm: 6.0104 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1309 loss: 2.1309 2022/07/27 13:26:17 - mmengine - INFO - Epoch(train) [49][1180/3757] lr: 8.3457e-03 eta: 2 days, 6:05:38 time: 0.3984 data_time: 0.0155 memory: 17007 grad_norm: 5.8303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3962 loss: 2.3962 2022/07/27 13:26:25 - mmengine - INFO - Epoch(train) [49][1200/3757] lr: 8.3457e-03 eta: 2 days, 6:05:30 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 6.0335 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7131 loss: 2.7131 2022/07/27 13:26:33 - mmengine - INFO - Epoch(train) [49][1220/3757] lr: 8.3457e-03 eta: 2 days, 6:05:23 time: 0.3973 data_time: 0.0151 memory: 17007 grad_norm: 6.1499 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5035 loss: 2.5035 2022/07/27 13:26:41 - mmengine - INFO - Epoch(train) [49][1240/3757] lr: 8.3457e-03 eta: 2 days, 6:05:15 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 6.0216 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3030 loss: 2.3030 2022/07/27 13:26:49 - mmengine - INFO - Epoch(train) [49][1260/3757] lr: 8.3457e-03 eta: 2 days, 6:05:07 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.9119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4409 loss: 2.4409 2022/07/27 13:26:57 - mmengine - INFO - Epoch(train) [49][1280/3757] lr: 8.3457e-03 eta: 2 days, 6:04:59 time: 0.3933 data_time: 0.0167 memory: 17007 grad_norm: 5.9566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3207 loss: 2.3207 2022/07/27 13:27:05 - mmengine - INFO - Epoch(train) [49][1300/3757] lr: 8.3457e-03 eta: 2 days, 6:04:51 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.0950 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5836 loss: 2.5836 2022/07/27 13:27:13 - mmengine - INFO - Epoch(train) [49][1320/3757] lr: 8.3457e-03 eta: 2 days, 6:04:43 time: 0.3944 data_time: 0.0177 memory: 17007 grad_norm: 5.9656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1773 loss: 2.1773 2022/07/27 13:27:20 - mmengine - INFO - Epoch(train) [49][1340/3757] lr: 8.3457e-03 eta: 2 days, 6:04:35 time: 0.3914 data_time: 0.0147 memory: 17007 grad_norm: 5.9633 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2747 loss: 2.2747 2022/07/27 13:27:28 - mmengine - INFO - Epoch(train) [49][1360/3757] lr: 8.3457e-03 eta: 2 days, 6:04:27 time: 0.3936 data_time: 0.0169 memory: 17007 grad_norm: 6.0362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1685 loss: 2.1685 2022/07/27 13:27:36 - mmengine - INFO - Epoch(train) [49][1380/3757] lr: 8.3457e-03 eta: 2 days, 6:04:20 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 5.7395 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5404 loss: 2.5404 2022/07/27 13:27:44 - mmengine - INFO - Epoch(train) [49][1400/3757] lr: 8.3457e-03 eta: 2 days, 6:04:12 time: 0.3995 data_time: 0.0169 memory: 17007 grad_norm: 5.9634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3441 loss: 2.3441 2022/07/27 13:27:52 - mmengine - INFO - Epoch(train) [49][1420/3757] lr: 8.3457e-03 eta: 2 days, 6:04:04 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 5.7681 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4821 loss: 2.4821 2022/07/27 13:28:00 - mmengine - INFO - Epoch(train) [49][1440/3757] lr: 8.3457e-03 eta: 2 days, 6:03:56 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 5.9830 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4247 loss: 2.4247 2022/07/27 13:28:08 - mmengine - INFO - Epoch(train) [49][1460/3757] lr: 8.3457e-03 eta: 2 days, 6:03:48 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 5.9989 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4326 loss: 2.4326 2022/07/27 13:28:16 - mmengine - INFO - Epoch(train) [49][1480/3757] lr: 8.3457e-03 eta: 2 days, 6:03:40 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 5.8233 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4954 loss: 2.4954 2022/07/27 13:28:24 - mmengine - INFO - Epoch(train) [49][1500/3757] lr: 8.3457e-03 eta: 2 days, 6:03:32 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 5.8511 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2642 loss: 2.2642 2022/07/27 13:28:32 - mmengine - INFO - Epoch(train) [49][1520/3757] lr: 8.3457e-03 eta: 2 days, 6:03:25 time: 0.4087 data_time: 0.0164 memory: 17007 grad_norm: 5.8709 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4060 loss: 2.4060 2022/07/27 13:28:40 - mmengine - INFO - Epoch(train) [49][1540/3757] lr: 8.3457e-03 eta: 2 days, 6:03:17 time: 0.3917 data_time: 0.0145 memory: 17007 grad_norm: 5.9022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2986 loss: 2.2986 2022/07/27 13:28:47 - mmengine - INFO - Epoch(train) [49][1560/3757] lr: 8.3457e-03 eta: 2 days, 6:03:10 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 5.8927 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1286 loss: 2.1286 2022/07/27 13:28:55 - mmengine - INFO - Epoch(train) [49][1580/3757] lr: 8.3457e-03 eta: 2 days, 6:03:02 time: 0.3941 data_time: 0.0167 memory: 17007 grad_norm: 5.9147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4743 loss: 2.4743 2022/07/27 13:29:03 - mmengine - INFO - Epoch(train) [49][1600/3757] lr: 8.3457e-03 eta: 2 days, 6:02:54 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 5.9966 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5526 loss: 2.5526 2022/07/27 13:29:11 - mmengine - INFO - Epoch(train) [49][1620/3757] lr: 8.3457e-03 eta: 2 days, 6:02:46 time: 0.3935 data_time: 0.0140 memory: 17007 grad_norm: 5.8942 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2180 loss: 2.2180 2022/07/27 13:29:19 - mmengine - INFO - Epoch(train) [49][1640/3757] lr: 8.3457e-03 eta: 2 days, 6:02:38 time: 0.3925 data_time: 0.0164 memory: 17007 grad_norm: 6.0179 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2106 loss: 2.2106 2022/07/27 13:29:27 - mmengine - INFO - Epoch(train) [49][1660/3757] lr: 8.3457e-03 eta: 2 days, 6:02:30 time: 0.3972 data_time: 0.0151 memory: 17007 grad_norm: 6.2802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3583 loss: 2.3583 2022/07/27 13:29:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:29:35 - mmengine - INFO - Epoch(train) [49][1680/3757] lr: 8.3457e-03 eta: 2 days, 6:02:23 time: 0.3955 data_time: 0.0171 memory: 17007 grad_norm: 6.2500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4734 loss: 2.4734 2022/07/27 13:29:43 - mmengine - INFO - Epoch(train) [49][1700/3757] lr: 8.3457e-03 eta: 2 days, 6:02:15 time: 0.3944 data_time: 0.0150 memory: 17007 grad_norm: 5.8831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3336 loss: 2.3336 2022/07/27 13:29:51 - mmengine - INFO - Epoch(train) [49][1720/3757] lr: 8.3457e-03 eta: 2 days, 6:02:07 time: 0.3933 data_time: 0.0166 memory: 17007 grad_norm: 6.0884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3148 loss: 2.3148 2022/07/27 13:29:59 - mmengine - INFO - Epoch(train) [49][1740/3757] lr: 8.3457e-03 eta: 2 days, 6:01:59 time: 0.3962 data_time: 0.0147 memory: 17007 grad_norm: 6.0683 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4512 loss: 2.4512 2022/07/27 13:30:06 - mmengine - INFO - Epoch(train) [49][1760/3757] lr: 8.3457e-03 eta: 2 days, 6:01:51 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 5.8254 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3825 loss: 2.3825 2022/07/27 13:30:14 - mmengine - INFO - Epoch(train) [49][1780/3757] lr: 8.3457e-03 eta: 2 days, 6:01:44 time: 0.3967 data_time: 0.0175 memory: 17007 grad_norm: 6.1149 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5116 loss: 2.5116 2022/07/27 13:30:22 - mmengine - INFO - Epoch(train) [49][1800/3757] lr: 8.3457e-03 eta: 2 days, 6:01:36 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 6.0367 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3652 loss: 2.3652 2022/07/27 13:30:30 - mmengine - INFO - Epoch(train) [49][1820/3757] lr: 8.3457e-03 eta: 2 days, 6:01:28 time: 0.3918 data_time: 0.0159 memory: 17007 grad_norm: 6.2037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6357 loss: 2.6357 2022/07/27 13:30:38 - mmengine - INFO - Epoch(train) [49][1840/3757] lr: 8.3457e-03 eta: 2 days, 6:01:20 time: 0.3946 data_time: 0.0167 memory: 17007 grad_norm: 5.8771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2947 loss: 2.2947 2022/07/27 13:30:46 - mmengine - INFO - Epoch(train) [49][1860/3757] lr: 8.3457e-03 eta: 2 days, 6:01:12 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 6.1174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4652 loss: 2.4652 2022/07/27 13:30:54 - mmengine - INFO - Epoch(train) [49][1880/3757] lr: 8.3457e-03 eta: 2 days, 6:01:06 time: 0.4330 data_time: 0.0153 memory: 17007 grad_norm: 6.1704 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5449 loss: 2.5449 2022/07/27 13:31:06 - mmengine - INFO - Epoch(train) [49][1900/3757] lr: 8.3457e-03 eta: 2 days, 6:01:09 time: 0.5921 data_time: 0.0146 memory: 17007 grad_norm: 5.9186 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.8283 loss: 2.8283 2022/07/27 13:31:19 - mmengine - INFO - Epoch(train) [49][1920/3757] lr: 8.3457e-03 eta: 2 days, 6:01:14 time: 0.6273 data_time: 0.0155 memory: 17007 grad_norm: 5.9020 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2572 loss: 2.2572 2022/07/27 13:31:29 - mmengine - INFO - Epoch(train) [49][1940/3757] lr: 8.3457e-03 eta: 2 days, 6:01:11 time: 0.4925 data_time: 0.0170 memory: 17007 grad_norm: 5.8428 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2194 loss: 2.2194 2022/07/27 13:31:42 - mmengine - INFO - Epoch(train) [49][1960/3757] lr: 8.3457e-03 eta: 2 days, 6:01:18 time: 0.6675 data_time: 0.1082 memory: 17007 grad_norm: 6.0146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4904 loss: 2.4904 2022/07/27 13:31:50 - mmengine - INFO - Epoch(train) [49][1980/3757] lr: 8.3457e-03 eta: 2 days, 6:01:11 time: 0.3966 data_time: 0.0173 memory: 17007 grad_norm: 6.1088 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2331 loss: 2.2331 2022/07/27 13:31:58 - mmengine - INFO - Epoch(train) [49][2000/3757] lr: 8.3457e-03 eta: 2 days, 6:01:03 time: 0.3938 data_time: 0.0138 memory: 17007 grad_norm: 5.8745 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3187 loss: 2.3187 2022/07/27 13:32:06 - mmengine - INFO - Epoch(train) [49][2020/3757] lr: 8.3457e-03 eta: 2 days, 6:00:55 time: 0.4000 data_time: 0.0156 memory: 17007 grad_norm: 5.7670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2778 loss: 2.2778 2022/07/27 13:32:14 - mmengine - INFO - Epoch(train) [49][2040/3757] lr: 8.3457e-03 eta: 2 days, 6:00:47 time: 0.3947 data_time: 0.0146 memory: 17007 grad_norm: 6.0822 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.8203 loss: 2.8203 2022/07/27 13:32:22 - mmengine - INFO - Epoch(train) [49][2060/3757] lr: 8.3457e-03 eta: 2 days, 6:00:40 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 5.9773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4327 loss: 2.4327 2022/07/27 13:32:30 - mmengine - INFO - Epoch(train) [49][2080/3757] lr: 8.3457e-03 eta: 2 days, 6:00:32 time: 0.3911 data_time: 0.0148 memory: 17007 grad_norm: 5.7978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3078 loss: 2.3078 2022/07/27 13:32:37 - mmengine - INFO - Epoch(train) [49][2100/3757] lr: 8.3457e-03 eta: 2 days, 6:00:24 time: 0.3952 data_time: 0.0168 memory: 17007 grad_norm: 5.9761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6010 loss: 2.6010 2022/07/27 13:32:45 - mmengine - INFO - Epoch(train) [49][2120/3757] lr: 8.3457e-03 eta: 2 days, 6:00:16 time: 0.3916 data_time: 0.0134 memory: 17007 grad_norm: 6.1600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2027 loss: 2.2027 2022/07/27 13:32:53 - mmengine - INFO - Epoch(train) [49][2140/3757] lr: 8.3457e-03 eta: 2 days, 6:00:08 time: 0.3942 data_time: 0.0171 memory: 17007 grad_norm: 5.8555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4282 loss: 2.4282 2022/07/27 13:33:01 - mmengine - INFO - Epoch(train) [49][2160/3757] lr: 8.3457e-03 eta: 2 days, 6:00:00 time: 0.3915 data_time: 0.0133 memory: 17007 grad_norm: 6.0160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6270 loss: 2.6270 2022/07/27 13:33:09 - mmengine - INFO - Epoch(train) [49][2180/3757] lr: 8.3457e-03 eta: 2 days, 5:59:52 time: 0.3923 data_time: 0.0163 memory: 17007 grad_norm: 5.9824 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6029 loss: 2.6029 2022/07/27 13:33:17 - mmengine - INFO - Epoch(train) [49][2200/3757] lr: 8.3457e-03 eta: 2 days, 5:59:44 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 6.0823 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4691 loss: 2.4691 2022/07/27 13:33:25 - mmengine - INFO - Epoch(train) [49][2220/3757] lr: 8.3457e-03 eta: 2 days, 5:59:36 time: 0.3939 data_time: 0.0168 memory: 17007 grad_norm: 6.0545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6590 loss: 2.6590 2022/07/27 13:33:32 - mmengine - INFO - Epoch(train) [49][2240/3757] lr: 8.3457e-03 eta: 2 days, 5:59:28 time: 0.3929 data_time: 0.0136 memory: 17007 grad_norm: 5.8722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2269 loss: 2.2269 2022/07/27 13:33:40 - mmengine - INFO - Epoch(train) [49][2260/3757] lr: 8.3457e-03 eta: 2 days, 5:59:20 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 6.0407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3237 loss: 2.3237 2022/07/27 13:33:48 - mmengine - INFO - Epoch(train) [49][2280/3757] lr: 8.3457e-03 eta: 2 days, 5:59:13 time: 0.3993 data_time: 0.0146 memory: 17007 grad_norm: 5.8476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2819 loss: 2.2819 2022/07/27 13:33:56 - mmengine - INFO - Epoch(train) [49][2300/3757] lr: 8.3457e-03 eta: 2 days, 5:59:05 time: 0.3952 data_time: 0.0178 memory: 17007 grad_norm: 5.9460 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3334 loss: 2.3334 2022/07/27 13:34:04 - mmengine - INFO - Epoch(train) [49][2320/3757] lr: 8.3457e-03 eta: 2 days, 5:58:57 time: 0.3976 data_time: 0.0138 memory: 17007 grad_norm: 5.9686 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7457 loss: 2.7457 2022/07/27 13:34:12 - mmengine - INFO - Epoch(train) [49][2340/3757] lr: 8.3457e-03 eta: 2 days, 5:58:49 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 5.9399 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5879 loss: 2.5879 2022/07/27 13:34:20 - mmengine - INFO - Epoch(train) [49][2360/3757] lr: 8.3457e-03 eta: 2 days, 5:58:41 time: 0.3911 data_time: 0.0141 memory: 17007 grad_norm: 5.9635 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5364 loss: 2.5364 2022/07/27 13:34:28 - mmengine - INFO - Epoch(train) [49][2380/3757] lr: 8.3457e-03 eta: 2 days, 5:58:34 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 5.8504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4704 loss: 2.4704 2022/07/27 13:34:36 - mmengine - INFO - Epoch(train) [49][2400/3757] lr: 8.3457e-03 eta: 2 days, 5:58:26 time: 0.3930 data_time: 0.0132 memory: 17007 grad_norm: 5.7964 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4386 loss: 2.4386 2022/07/27 13:34:44 - mmengine - INFO - Epoch(train) [49][2420/3757] lr: 8.3457e-03 eta: 2 days, 5:58:18 time: 0.3998 data_time: 0.0160 memory: 17007 grad_norm: 5.8823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2779 loss: 2.2779 2022/07/27 13:34:51 - mmengine - INFO - Epoch(train) [49][2440/3757] lr: 8.3457e-03 eta: 2 days, 5:58:10 time: 0.3904 data_time: 0.0127 memory: 17007 grad_norm: 5.9063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6271 loss: 2.6271 2022/07/27 13:34:59 - mmengine - INFO - Epoch(train) [49][2460/3757] lr: 8.3457e-03 eta: 2 days, 5:58:02 time: 0.3931 data_time: 0.0162 memory: 17007 grad_norm: 5.8583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3124 loss: 2.3124 2022/07/27 13:35:07 - mmengine - INFO - Epoch(train) [49][2480/3757] lr: 8.3457e-03 eta: 2 days, 5:57:54 time: 0.3944 data_time: 0.0147 memory: 17007 grad_norm: 5.9657 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5372 loss: 2.5372 2022/07/27 13:35:15 - mmengine - INFO - Epoch(train) [49][2500/3757] lr: 8.3457e-03 eta: 2 days, 5:57:47 time: 0.3956 data_time: 0.0161 memory: 17007 grad_norm: 5.7308 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2518 loss: 2.2518 2022/07/27 13:35:23 - mmengine - INFO - Epoch(train) [49][2520/3757] lr: 8.3457e-03 eta: 2 days, 5:57:39 time: 0.3930 data_time: 0.0137 memory: 17007 grad_norm: 5.8335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2431 loss: 2.2431 2022/07/27 13:35:31 - mmengine - INFO - Epoch(train) [49][2540/3757] lr: 8.3457e-03 eta: 2 days, 5:57:31 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 6.1037 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7086 loss: 2.7086 2022/07/27 13:35:39 - mmengine - INFO - Epoch(train) [49][2560/3757] lr: 8.3457e-03 eta: 2 days, 5:57:23 time: 0.3918 data_time: 0.0145 memory: 17007 grad_norm: 5.9388 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3700 loss: 2.3700 2022/07/27 13:35:47 - mmengine - INFO - Epoch(train) [49][2580/3757] lr: 8.3457e-03 eta: 2 days, 5:57:15 time: 0.3977 data_time: 0.0173 memory: 17007 grad_norm: 5.9870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3497 loss: 2.3497 2022/07/27 13:35:54 - mmengine - INFO - Epoch(train) [49][2600/3757] lr: 8.3457e-03 eta: 2 days, 5:57:07 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 5.9084 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6086 loss: 2.6086 2022/07/27 13:36:02 - mmengine - INFO - Epoch(train) [49][2620/3757] lr: 8.3457e-03 eta: 2 days, 5:57:00 time: 0.3989 data_time: 0.0168 memory: 17007 grad_norm: 6.0996 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5533 loss: 2.5533 2022/07/27 13:36:10 - mmengine - INFO - Epoch(train) [49][2640/3757] lr: 8.3457e-03 eta: 2 days, 5:56:52 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 5.8684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2659 loss: 2.2659 2022/07/27 13:36:18 - mmengine - INFO - Epoch(train) [49][2660/3757] lr: 8.3457e-03 eta: 2 days, 5:56:44 time: 0.3943 data_time: 0.0171 memory: 17007 grad_norm: 5.9804 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2281 loss: 2.2281 2022/07/27 13:36:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:36:26 - mmengine - INFO - Epoch(train) [49][2680/3757] lr: 8.3457e-03 eta: 2 days, 5:56:36 time: 0.3940 data_time: 0.0135 memory: 17007 grad_norm: 5.9104 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2003 loss: 2.2003 2022/07/27 13:36:34 - mmengine - INFO - Epoch(train) [49][2700/3757] lr: 8.3457e-03 eta: 2 days, 5:56:28 time: 0.3968 data_time: 0.0164 memory: 17007 grad_norm: 5.9093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2033 loss: 2.2033 2022/07/27 13:36:42 - mmengine - INFO - Epoch(train) [49][2720/3757] lr: 8.3457e-03 eta: 2 days, 5:56:21 time: 0.3974 data_time: 0.0134 memory: 17007 grad_norm: 5.9946 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1849 loss: 2.1849 2022/07/27 13:36:50 - mmengine - INFO - Epoch(train) [49][2740/3757] lr: 8.3457e-03 eta: 2 days, 5:56:13 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 6.2079 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2836 loss: 2.2836 2022/07/27 13:36:58 - mmengine - INFO - Epoch(train) [49][2760/3757] lr: 8.3457e-03 eta: 2 days, 5:56:05 time: 0.3918 data_time: 0.0133 memory: 17007 grad_norm: 5.7301 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1425 loss: 2.1425 2022/07/27 13:37:06 - mmengine - INFO - Epoch(train) [49][2780/3757] lr: 8.3457e-03 eta: 2 days, 5:55:57 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 5.9049 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5107 loss: 2.5107 2022/07/27 13:37:13 - mmengine - INFO - Epoch(train) [49][2800/3757] lr: 8.3457e-03 eta: 2 days, 5:55:49 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 5.9004 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1511 loss: 2.1511 2022/07/27 13:37:21 - mmengine - INFO - Epoch(train) [49][2820/3757] lr: 8.3457e-03 eta: 2 days, 5:55:41 time: 0.3917 data_time: 0.0154 memory: 17007 grad_norm: 5.9453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6545 loss: 2.6545 2022/07/27 13:37:29 - mmengine - INFO - Epoch(train) [49][2840/3757] lr: 8.3457e-03 eta: 2 days, 5:55:33 time: 0.3935 data_time: 0.0130 memory: 17007 grad_norm: 5.9958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2350 loss: 2.2350 2022/07/27 13:37:37 - mmengine - INFO - Epoch(train) [49][2860/3757] lr: 8.3457e-03 eta: 2 days, 5:55:25 time: 0.3940 data_time: 0.0164 memory: 17007 grad_norm: 6.0924 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6734 loss: 2.6734 2022/07/27 13:37:45 - mmengine - INFO - Epoch(train) [49][2880/3757] lr: 8.3457e-03 eta: 2 days, 5:55:17 time: 0.3946 data_time: 0.0134 memory: 17007 grad_norm: 5.9721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1666 loss: 2.1666 2022/07/27 13:37:53 - mmengine - INFO - Epoch(train) [49][2900/3757] lr: 8.3457e-03 eta: 2 days, 5:55:09 time: 0.3937 data_time: 0.0162 memory: 17007 grad_norm: 6.0189 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7395 loss: 2.7395 2022/07/27 13:38:01 - mmengine - INFO - Epoch(train) [49][2920/3757] lr: 8.3457e-03 eta: 2 days, 5:55:01 time: 0.3906 data_time: 0.0134 memory: 17007 grad_norm: 5.8997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6949 loss: 2.6949 2022/07/27 13:38:09 - mmengine - INFO - Epoch(train) [49][2940/3757] lr: 8.3457e-03 eta: 2 days, 5:54:53 time: 0.3930 data_time: 0.0166 memory: 17007 grad_norm: 5.9048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5303 loss: 2.5303 2022/07/27 13:38:16 - mmengine - INFO - Epoch(train) [49][2960/3757] lr: 8.3457e-03 eta: 2 days, 5:54:46 time: 0.3982 data_time: 0.0141 memory: 17007 grad_norm: 5.9116 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7168 loss: 2.7168 2022/07/27 13:38:24 - mmengine - INFO - Epoch(train) [49][2980/3757] lr: 8.3457e-03 eta: 2 days, 5:54:38 time: 0.3967 data_time: 0.0178 memory: 17007 grad_norm: 5.9303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3408 loss: 2.3408 2022/07/27 13:38:33 - mmengine - INFO - Epoch(train) [49][3000/3757] lr: 8.3457e-03 eta: 2 days, 5:54:31 time: 0.4112 data_time: 0.0135 memory: 17007 grad_norm: 5.9448 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5617 loss: 2.5617 2022/07/27 13:38:40 - mmengine - INFO - Epoch(train) [49][3020/3757] lr: 8.3457e-03 eta: 2 days, 5:54:23 time: 0.3922 data_time: 0.0152 memory: 17007 grad_norm: 5.8108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3055 loss: 2.3055 2022/07/27 13:38:48 - mmengine - INFO - Epoch(train) [49][3040/3757] lr: 8.3457e-03 eta: 2 days, 5:54:15 time: 0.3952 data_time: 0.0140 memory: 17007 grad_norm: 5.9232 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4132 loss: 2.4132 2022/07/27 13:38:56 - mmengine - INFO - Epoch(train) [49][3060/3757] lr: 8.3457e-03 eta: 2 days, 5:54:08 time: 0.3943 data_time: 0.0161 memory: 17007 grad_norm: 6.1212 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4314 loss: 2.4314 2022/07/27 13:39:04 - mmengine - INFO - Epoch(train) [49][3080/3757] lr: 8.3457e-03 eta: 2 days, 5:54:00 time: 0.3981 data_time: 0.0163 memory: 17007 grad_norm: 7.0504 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6377 loss: 2.6377 2022/07/27 13:39:12 - mmengine - INFO - Epoch(train) [49][3100/3757] lr: 8.3457e-03 eta: 2 days, 5:53:52 time: 0.3955 data_time: 0.0163 memory: 17007 grad_norm: 5.9240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5736 loss: 2.5736 2022/07/27 13:39:20 - mmengine - INFO - Epoch(train) [49][3120/3757] lr: 8.3457e-03 eta: 2 days, 5:53:44 time: 0.3908 data_time: 0.0123 memory: 17007 grad_norm: 6.0157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4139 loss: 2.4139 2022/07/27 13:39:28 - mmengine - INFO - Epoch(train) [49][3140/3757] lr: 8.3457e-03 eta: 2 days, 5:53:36 time: 0.3937 data_time: 0.0166 memory: 17007 grad_norm: 5.7960 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3096 loss: 2.3096 2022/07/27 13:39:36 - mmengine - INFO - Epoch(train) [49][3160/3757] lr: 8.3457e-03 eta: 2 days, 5:53:28 time: 0.3912 data_time: 0.0134 memory: 17007 grad_norm: 5.9416 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4363 loss: 2.4363 2022/07/27 13:39:44 - mmengine - INFO - Epoch(train) [49][3180/3757] lr: 8.3457e-03 eta: 2 days, 5:53:21 time: 0.3965 data_time: 0.0160 memory: 17007 grad_norm: 6.0170 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2674 loss: 2.2674 2022/07/27 13:39:51 - mmengine - INFO - Epoch(train) [49][3200/3757] lr: 8.3457e-03 eta: 2 days, 5:53:13 time: 0.3915 data_time: 0.0137 memory: 17007 grad_norm: 6.1136 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6660 loss: 2.6660 2022/07/27 13:39:59 - mmengine - INFO - Epoch(train) [49][3220/3757] lr: 8.3457e-03 eta: 2 days, 5:53:05 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 5.9503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2356 loss: 2.2356 2022/07/27 13:40:07 - mmengine - INFO - Epoch(train) [49][3240/3757] lr: 8.3457e-03 eta: 2 days, 5:52:57 time: 0.3935 data_time: 0.0162 memory: 17007 grad_norm: 6.1408 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5459 loss: 2.5459 2022/07/27 13:40:15 - mmengine - INFO - Epoch(train) [49][3260/3757] lr: 8.3457e-03 eta: 2 days, 5:52:49 time: 0.3923 data_time: 0.0162 memory: 17007 grad_norm: 6.0654 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5166 loss: 2.5166 2022/07/27 13:40:23 - mmengine - INFO - Epoch(train) [49][3280/3757] lr: 8.3457e-03 eta: 2 days, 5:52:41 time: 0.3957 data_time: 0.0151 memory: 17007 grad_norm: 6.0922 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1872 loss: 2.1872 2022/07/27 13:40:31 - mmengine - INFO - Epoch(train) [49][3300/3757] lr: 8.3457e-03 eta: 2 days, 5:52:33 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 6.0488 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1851 loss: 2.1851 2022/07/27 13:40:39 - mmengine - INFO - Epoch(train) [49][3320/3757] lr: 8.3457e-03 eta: 2 days, 5:52:25 time: 0.3902 data_time: 0.0137 memory: 17007 grad_norm: 5.9237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4839 loss: 2.4839 2022/07/27 13:40:47 - mmengine - INFO - Epoch(train) [49][3340/3757] lr: 8.3457e-03 eta: 2 days, 5:52:17 time: 0.4001 data_time: 0.0182 memory: 17007 grad_norm: 5.8682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1458 loss: 2.1458 2022/07/27 13:40:54 - mmengine - INFO - Epoch(train) [49][3360/3757] lr: 8.3457e-03 eta: 2 days, 5:52:09 time: 0.3913 data_time: 0.0153 memory: 17007 grad_norm: 6.1420 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5680 loss: 2.5680 2022/07/27 13:41:03 - mmengine - INFO - Epoch(train) [49][3380/3757] lr: 8.3457e-03 eta: 2 days, 5:52:02 time: 0.4026 data_time: 0.0161 memory: 17007 grad_norm: 5.8713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3892 loss: 2.3892 2022/07/27 13:41:10 - mmengine - INFO - Epoch(train) [49][3400/3757] lr: 8.3457e-03 eta: 2 days, 5:51:54 time: 0.3915 data_time: 0.0134 memory: 17007 grad_norm: 5.8164 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1989 loss: 2.1989 2022/07/27 13:41:18 - mmengine - INFO - Epoch(train) [49][3420/3757] lr: 8.3457e-03 eta: 2 days, 5:51:46 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 5.9931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6729 loss: 2.6729 2022/07/27 13:41:26 - mmengine - INFO - Epoch(train) [49][3440/3757] lr: 8.3457e-03 eta: 2 days, 5:51:39 time: 0.4051 data_time: 0.0141 memory: 17007 grad_norm: 5.9576 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3313 loss: 2.3313 2022/07/27 13:41:34 - mmengine - INFO - Epoch(train) [49][3460/3757] lr: 8.3457e-03 eta: 2 days, 5:51:31 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 6.1364 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4208 loss: 2.4208 2022/07/27 13:41:42 - mmengine - INFO - Epoch(train) [49][3480/3757] lr: 8.3457e-03 eta: 2 days, 5:51:23 time: 0.3920 data_time: 0.0135 memory: 17007 grad_norm: 6.0163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6551 loss: 2.6551 2022/07/27 13:41:50 - mmengine - INFO - Epoch(train) [49][3500/3757] lr: 8.3457e-03 eta: 2 days, 5:51:15 time: 0.3936 data_time: 0.0166 memory: 17007 grad_norm: 5.7983 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3369 loss: 2.3369 2022/07/27 13:41:58 - mmengine - INFO - Epoch(train) [49][3520/3757] lr: 8.3457e-03 eta: 2 days, 5:51:07 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 5.9992 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1673 loss: 2.1673 2022/07/27 13:42:06 - mmengine - INFO - Epoch(train) [49][3540/3757] lr: 8.3457e-03 eta: 2 days, 5:51:00 time: 0.3989 data_time: 0.0171 memory: 17007 grad_norm: 6.0268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1049 loss: 2.1049 2022/07/27 13:42:14 - mmengine - INFO - Epoch(train) [49][3560/3757] lr: 8.3457e-03 eta: 2 days, 5:50:52 time: 0.3989 data_time: 0.0152 memory: 17007 grad_norm: 5.8340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4470 loss: 2.4470 2022/07/27 13:42:22 - mmengine - INFO - Epoch(train) [49][3580/3757] lr: 8.3457e-03 eta: 2 days, 5:50:44 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 5.8675 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5703 loss: 2.5703 2022/07/27 13:42:30 - mmengine - INFO - Epoch(train) [49][3600/3757] lr: 8.3457e-03 eta: 2 days, 5:50:36 time: 0.3933 data_time: 0.0143 memory: 17007 grad_norm: 6.0586 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6755 loss: 2.6755 2022/07/27 13:42:37 - mmengine - INFO - Epoch(train) [49][3620/3757] lr: 8.3457e-03 eta: 2 days, 5:50:29 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 5.8298 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5460 loss: 2.5460 2022/07/27 13:42:45 - mmengine - INFO - Epoch(train) [49][3640/3757] lr: 8.3457e-03 eta: 2 days, 5:50:21 time: 0.3965 data_time: 0.0152 memory: 17007 grad_norm: 5.9274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3026 loss: 2.3026 2022/07/27 13:42:53 - mmengine - INFO - Epoch(train) [49][3660/3757] lr: 8.3457e-03 eta: 2 days, 5:50:13 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 6.1660 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5685 loss: 2.5685 2022/07/27 13:42:55 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:43:01 - mmengine - INFO - Epoch(train) [49][3680/3757] lr: 8.3457e-03 eta: 2 days, 5:50:05 time: 0.3912 data_time: 0.0141 memory: 17007 grad_norm: 6.2008 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6381 loss: 2.6381 2022/07/27 13:43:09 - mmengine - INFO - Epoch(train) [49][3700/3757] lr: 8.3457e-03 eta: 2 days, 5:49:57 time: 0.3973 data_time: 0.0160 memory: 17007 grad_norm: 5.8622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3632 loss: 2.3632 2022/07/27 13:43:17 - mmengine - INFO - Epoch(train) [49][3720/3757] lr: 8.3457e-03 eta: 2 days, 5:49:50 time: 0.4045 data_time: 0.0141 memory: 17007 grad_norm: 6.0270 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7655 loss: 2.7655 2022/07/27 13:43:25 - mmengine - INFO - Epoch(train) [49][3740/3757] lr: 8.3457e-03 eta: 2 days, 5:49:42 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 6.0888 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2863 loss: 2.2863 2022/07/27 13:43:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:43:32 - mmengine - INFO - Epoch(train) [49][3757/3757] lr: 8.3457e-03 eta: 2 days, 5:49:42 time: 0.3881 data_time: 0.0136 memory: 17007 grad_norm: 6.1018 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.4997 loss: 2.4997 2022/07/27 13:43:32 - mmengine - INFO - Saving checkpoint at 49 epochs 2022/07/27 13:43:42 - mmengine - INFO - Epoch(train) [50][20/3757] lr: 8.2803e-03 eta: 2 days, 5:49:12 time: 0.4439 data_time: 0.0633 memory: 17007 grad_norm: 5.9764 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4920 loss: 2.4920 2022/07/27 13:43:50 - mmengine - INFO - Epoch(train) [50][40/3757] lr: 8.2803e-03 eta: 2 days, 5:49:05 time: 0.3966 data_time: 0.0200 memory: 17007 grad_norm: 5.7806 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1696 loss: 2.1696 2022/07/27 13:43:58 - mmengine - INFO - Epoch(train) [50][60/3757] lr: 8.2803e-03 eta: 2 days, 5:48:57 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 6.0931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2081 loss: 2.2081 2022/07/27 13:44:06 - mmengine - INFO - Epoch(train) [50][80/3757] lr: 8.2803e-03 eta: 2 days, 5:48:49 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 6.0600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3945 loss: 2.3945 2022/07/27 13:44:14 - mmengine - INFO - Epoch(train) [50][100/3757] lr: 8.2803e-03 eta: 2 days, 5:48:41 time: 0.4030 data_time: 0.0159 memory: 17007 grad_norm: 5.7310 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3937 loss: 2.3937 2022/07/27 13:44:22 - mmengine - INFO - Epoch(train) [50][120/3757] lr: 8.2803e-03 eta: 2 days, 5:48:34 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.8838 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4144 loss: 2.4144 2022/07/27 13:44:30 - mmengine - INFO - Epoch(train) [50][140/3757] lr: 8.2803e-03 eta: 2 days, 5:48:26 time: 0.3912 data_time: 0.0144 memory: 17007 grad_norm: 5.9118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3775 loss: 2.3775 2022/07/27 13:44:38 - mmengine - INFO - Epoch(train) [50][160/3757] lr: 8.2803e-03 eta: 2 days, 5:48:18 time: 0.3979 data_time: 0.0171 memory: 17007 grad_norm: 6.0548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6022 loss: 2.6022 2022/07/27 13:44:46 - mmengine - INFO - Epoch(train) [50][180/3757] lr: 8.2803e-03 eta: 2 days, 5:48:10 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 5.8858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1722 loss: 2.1722 2022/07/27 13:44:54 - mmengine - INFO - Epoch(train) [50][200/3757] lr: 8.2803e-03 eta: 2 days, 5:48:02 time: 0.3946 data_time: 0.0171 memory: 17007 grad_norm: 5.9400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3449 loss: 2.3449 2022/07/27 13:45:01 - mmengine - INFO - Epoch(train) [50][220/3757] lr: 8.2803e-03 eta: 2 days, 5:47:54 time: 0.3922 data_time: 0.0149 memory: 17007 grad_norm: 5.8108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3657 loss: 2.3657 2022/07/27 13:45:09 - mmengine - INFO - Epoch(train) [50][240/3757] lr: 8.2803e-03 eta: 2 days, 5:47:46 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 6.0325 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5846 loss: 2.5846 2022/07/27 13:45:17 - mmengine - INFO - Epoch(train) [50][260/3757] lr: 8.2803e-03 eta: 2 days, 5:47:39 time: 0.3954 data_time: 0.0148 memory: 17007 grad_norm: 6.0612 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1996 loss: 2.1996 2022/07/27 13:45:25 - mmengine - INFO - Epoch(train) [50][280/3757] lr: 8.2803e-03 eta: 2 days, 5:47:31 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 6.1800 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3778 loss: 2.3778 2022/07/27 13:45:33 - mmengine - INFO - Epoch(train) [50][300/3757] lr: 8.2803e-03 eta: 2 days, 5:47:23 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 5.9028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2568 loss: 2.2568 2022/07/27 13:45:41 - mmengine - INFO - Epoch(train) [50][320/3757] lr: 8.2803e-03 eta: 2 days, 5:47:15 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 6.0622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2812 loss: 2.2812 2022/07/27 13:45:49 - mmengine - INFO - Epoch(train) [50][340/3757] lr: 8.2803e-03 eta: 2 days, 5:47:07 time: 0.3932 data_time: 0.0138 memory: 17007 grad_norm: 6.1179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4402 loss: 2.4402 2022/07/27 13:45:57 - mmengine - INFO - Epoch(train) [50][360/3757] lr: 8.2803e-03 eta: 2 days, 5:46:59 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 6.1406 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2952 loss: 2.2952 2022/07/27 13:46:04 - mmengine - INFO - Epoch(train) [50][380/3757] lr: 8.2803e-03 eta: 2 days, 5:46:51 time: 0.3931 data_time: 0.0154 memory: 17007 grad_norm: 6.1333 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4732 loss: 2.4732 2022/07/27 13:46:12 - mmengine - INFO - Epoch(train) [50][400/3757] lr: 8.2803e-03 eta: 2 days, 5:46:43 time: 0.3916 data_time: 0.0147 memory: 17007 grad_norm: 5.8743 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4313 loss: 2.4313 2022/07/27 13:46:20 - mmengine - INFO - Epoch(train) [50][420/3757] lr: 8.2803e-03 eta: 2 days, 5:46:35 time: 0.3936 data_time: 0.0169 memory: 17007 grad_norm: 5.8914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4676 loss: 2.4676 2022/07/27 13:46:28 - mmengine - INFO - Epoch(train) [50][440/3757] lr: 8.2803e-03 eta: 2 days, 5:46:28 time: 0.3942 data_time: 0.0165 memory: 17007 grad_norm: 5.9510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3399 loss: 2.3399 2022/07/27 13:46:36 - mmengine - INFO - Epoch(train) [50][460/3757] lr: 8.2803e-03 eta: 2 days, 5:46:20 time: 0.3955 data_time: 0.0167 memory: 17007 grad_norm: 6.1335 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5320 loss: 2.5320 2022/07/27 13:46:44 - mmengine - INFO - Epoch(train) [50][480/3757] lr: 8.2803e-03 eta: 2 days, 5:46:12 time: 0.4008 data_time: 0.0167 memory: 17007 grad_norm: 6.2053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4846 loss: 2.4846 2022/07/27 13:46:52 - mmengine - INFO - Epoch(train) [50][500/3757] lr: 8.2803e-03 eta: 2 days, 5:46:04 time: 0.3918 data_time: 0.0149 memory: 17007 grad_norm: 5.9700 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1770 loss: 2.1770 2022/07/27 13:47:00 - mmengine - INFO - Epoch(train) [50][520/3757] lr: 8.2803e-03 eta: 2 days, 5:45:56 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 6.0438 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3453 loss: 2.3453 2022/07/27 13:47:08 - mmengine - INFO - Epoch(train) [50][540/3757] lr: 8.2803e-03 eta: 2 days, 5:45:49 time: 0.3969 data_time: 0.0165 memory: 17007 grad_norm: 5.9591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1473 loss: 2.1473 2022/07/27 13:47:16 - mmengine - INFO - Epoch(train) [50][560/3757] lr: 8.2803e-03 eta: 2 days, 5:45:41 time: 0.3985 data_time: 0.0150 memory: 17007 grad_norm: 5.9926 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4691 loss: 2.4691 2022/07/27 13:47:23 - mmengine - INFO - Epoch(train) [50][580/3757] lr: 8.2803e-03 eta: 2 days, 5:45:33 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 5.9926 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4487 loss: 2.4487 2022/07/27 13:47:31 - mmengine - INFO - Epoch(train) [50][600/3757] lr: 8.2803e-03 eta: 2 days, 5:45:25 time: 0.3922 data_time: 0.0150 memory: 17007 grad_norm: 6.0323 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6576 loss: 2.6576 2022/07/27 13:47:39 - mmengine - INFO - Epoch(train) [50][620/3757] lr: 8.2803e-03 eta: 2 days, 5:45:17 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 5.9215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4974 loss: 2.4974 2022/07/27 13:47:47 - mmengine - INFO - Epoch(train) [50][640/3757] lr: 8.2803e-03 eta: 2 days, 5:45:09 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 6.0156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2209 loss: 2.2209 2022/07/27 13:47:55 - mmengine - INFO - Epoch(train) [50][660/3757] lr: 8.2803e-03 eta: 2 days, 5:45:02 time: 0.3995 data_time: 0.0150 memory: 17007 grad_norm: 5.9620 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5881 loss: 2.5881 2022/07/27 13:48:03 - mmengine - INFO - Epoch(train) [50][680/3757] lr: 8.2803e-03 eta: 2 days, 5:44:54 time: 0.3950 data_time: 0.0149 memory: 17007 grad_norm: 6.0836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5419 loss: 2.5419 2022/07/27 13:48:11 - mmengine - INFO - Epoch(train) [50][700/3757] lr: 8.2803e-03 eta: 2 days, 5:44:46 time: 0.3913 data_time: 0.0139 memory: 17007 grad_norm: 6.2004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5951 loss: 2.5951 2022/07/27 13:48:19 - mmengine - INFO - Epoch(train) [50][720/3757] lr: 8.2803e-03 eta: 2 days, 5:44:38 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 6.0884 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6491 loss: 2.6491 2022/07/27 13:48:27 - mmengine - INFO - Epoch(train) [50][740/3757] lr: 8.2803e-03 eta: 2 days, 5:44:31 time: 0.3950 data_time: 0.0147 memory: 17007 grad_norm: 5.8586 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0649 loss: 2.0649 2022/07/27 13:48:34 - mmengine - INFO - Epoch(train) [50][760/3757] lr: 8.2803e-03 eta: 2 days, 5:44:23 time: 0.3931 data_time: 0.0173 memory: 17007 grad_norm: 5.8322 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4538 loss: 2.4538 2022/07/27 13:48:42 - mmengine - INFO - Epoch(train) [50][780/3757] lr: 8.2803e-03 eta: 2 days, 5:44:15 time: 0.3911 data_time: 0.0138 memory: 17007 grad_norm: 5.9850 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3045 loss: 2.3045 2022/07/27 13:48:50 - mmengine - INFO - Epoch(train) [50][800/3757] lr: 8.2803e-03 eta: 2 days, 5:44:07 time: 0.3955 data_time: 0.0151 memory: 17007 grad_norm: 5.9503 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3366 loss: 2.3366 2022/07/27 13:48:58 - mmengine - INFO - Epoch(train) [50][820/3757] lr: 8.2803e-03 eta: 2 days, 5:43:59 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 6.0139 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1159 loss: 2.1159 2022/07/27 13:49:06 - mmengine - INFO - Epoch(train) [50][840/3757] lr: 8.2803e-03 eta: 2 days, 5:43:51 time: 0.3941 data_time: 0.0148 memory: 17007 grad_norm: 6.0503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4130 loss: 2.4130 2022/07/27 13:49:14 - mmengine - INFO - Epoch(train) [50][860/3757] lr: 8.2803e-03 eta: 2 days, 5:43:43 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 5.8342 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3938 loss: 2.3938 2022/07/27 13:49:22 - mmengine - INFO - Epoch(train) [50][880/3757] lr: 8.2803e-03 eta: 2 days, 5:43:35 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 6.0307 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6721 loss: 2.6721 2022/07/27 13:49:30 - mmengine - INFO - Epoch(train) [50][900/3757] lr: 8.2803e-03 eta: 2 days, 5:43:27 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 6.0797 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1611 loss: 2.1611 2022/07/27 13:49:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:49:37 - mmengine - INFO - Epoch(train) [50][920/3757] lr: 8.2803e-03 eta: 2 days, 5:43:20 time: 0.3968 data_time: 0.0169 memory: 17007 grad_norm: 5.7748 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2516 loss: 2.2516 2022/07/27 13:49:45 - mmengine - INFO - Epoch(train) [50][940/3757] lr: 8.2803e-03 eta: 2 days, 5:43:12 time: 0.3916 data_time: 0.0155 memory: 17007 grad_norm: 5.9973 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2535 loss: 2.2535 2022/07/27 13:49:53 - mmengine - INFO - Epoch(train) [50][960/3757] lr: 8.2803e-03 eta: 2 days, 5:43:04 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 6.0150 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6804 loss: 2.6804 2022/07/27 13:50:01 - mmengine - INFO - Epoch(train) [50][980/3757] lr: 8.2803e-03 eta: 2 days, 5:42:56 time: 0.3914 data_time: 0.0142 memory: 17007 grad_norm: 6.0113 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2252 loss: 2.2252 2022/07/27 13:50:09 - mmengine - INFO - Epoch(train) [50][1000/3757] lr: 8.2803e-03 eta: 2 days, 5:42:48 time: 0.3914 data_time: 0.0149 memory: 17007 grad_norm: 5.9149 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3703 loss: 2.3703 2022/07/27 13:50:17 - mmengine - INFO - Epoch(train) [50][1020/3757] lr: 8.2803e-03 eta: 2 days, 5:42:40 time: 0.3991 data_time: 0.0157 memory: 17007 grad_norm: 5.8834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3839 loss: 2.3839 2022/07/27 13:50:25 - mmengine - INFO - Epoch(train) [50][1040/3757] lr: 8.2803e-03 eta: 2 days, 5:42:32 time: 0.3916 data_time: 0.0156 memory: 17007 grad_norm: 5.9695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1570 loss: 2.1570 2022/07/27 13:50:33 - mmengine - INFO - Epoch(train) [50][1060/3757] lr: 8.2803e-03 eta: 2 days, 5:42:24 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 6.1259 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4618 loss: 2.4618 2022/07/27 13:50:41 - mmengine - INFO - Epoch(train) [50][1080/3757] lr: 8.2803e-03 eta: 2 days, 5:42:17 time: 0.3992 data_time: 0.0156 memory: 17007 grad_norm: 6.2393 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7378 loss: 2.7378 2022/07/27 13:50:48 - mmengine - INFO - Epoch(train) [50][1100/3757] lr: 8.2803e-03 eta: 2 days, 5:42:09 time: 0.3923 data_time: 0.0145 memory: 17007 grad_norm: 6.0205 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2628 loss: 2.2628 2022/07/27 13:50:56 - mmengine - INFO - Epoch(train) [50][1120/3757] lr: 8.2803e-03 eta: 2 days, 5:42:01 time: 0.3961 data_time: 0.0168 memory: 17007 grad_norm: 5.8839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0760 loss: 2.0760 2022/07/27 13:51:04 - mmengine - INFO - Epoch(train) [50][1140/3757] lr: 8.2803e-03 eta: 2 days, 5:41:53 time: 0.3915 data_time: 0.0156 memory: 17007 grad_norm: 6.0332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3352 loss: 2.3352 2022/07/27 13:51:12 - mmengine - INFO - Epoch(train) [50][1160/3757] lr: 8.2803e-03 eta: 2 days, 5:41:45 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 5.9812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6475 loss: 2.6475 2022/07/27 13:51:20 - mmengine - INFO - Epoch(train) [50][1180/3757] lr: 8.2803e-03 eta: 2 days, 5:41:37 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 6.0282 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3509 loss: 2.3509 2022/07/27 13:51:28 - mmengine - INFO - Epoch(train) [50][1200/3757] lr: 8.2803e-03 eta: 2 days, 5:41:29 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.0089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3507 loss: 2.3507 2022/07/27 13:51:36 - mmengine - INFO - Epoch(train) [50][1220/3757] lr: 8.2803e-03 eta: 2 days, 5:41:22 time: 0.3963 data_time: 0.0144 memory: 17007 grad_norm: 5.8416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4061 loss: 2.4061 2022/07/27 13:51:44 - mmengine - INFO - Epoch(train) [50][1240/3757] lr: 8.2803e-03 eta: 2 days, 5:41:14 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 5.7535 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4370 loss: 2.4370 2022/07/27 13:51:51 - mmengine - INFO - Epoch(train) [50][1260/3757] lr: 8.2803e-03 eta: 2 days, 5:41:06 time: 0.3910 data_time: 0.0134 memory: 17007 grad_norm: 5.9448 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4396 loss: 2.4396 2022/07/27 13:51:59 - mmengine - INFO - Epoch(train) [50][1280/3757] lr: 8.2803e-03 eta: 2 days, 5:40:58 time: 0.4006 data_time: 0.0167 memory: 17007 grad_norm: 5.8447 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7125 loss: 2.7125 2022/07/27 13:52:07 - mmengine - INFO - Epoch(train) [50][1300/3757] lr: 8.2803e-03 eta: 2 days, 5:40:50 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 6.0123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2901 loss: 2.2901 2022/07/27 13:52:15 - mmengine - INFO - Epoch(train) [50][1320/3757] lr: 8.2803e-03 eta: 2 days, 5:40:43 time: 0.4024 data_time: 0.0164 memory: 17007 grad_norm: 6.0061 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5096 loss: 2.5096 2022/07/27 13:52:23 - mmengine - INFO - Epoch(train) [50][1340/3757] lr: 8.2803e-03 eta: 2 days, 5:40:35 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 6.1642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3839 loss: 2.3839 2022/07/27 13:52:31 - mmengine - INFO - Epoch(train) [50][1360/3757] lr: 8.2803e-03 eta: 2 days, 5:40:27 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 6.0480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5234 loss: 2.5234 2022/07/27 13:52:39 - mmengine - INFO - Epoch(train) [50][1380/3757] lr: 8.2803e-03 eta: 2 days, 5:40:19 time: 0.3917 data_time: 0.0140 memory: 17007 grad_norm: 5.9689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5632 loss: 2.5632 2022/07/27 13:52:47 - mmengine - INFO - Epoch(train) [50][1400/3757] lr: 8.2803e-03 eta: 2 days, 5:40:11 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 6.0489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3293 loss: 2.3293 2022/07/27 13:52:55 - mmengine - INFO - Epoch(train) [50][1420/3757] lr: 8.2803e-03 eta: 2 days, 5:40:03 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 5.9963 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3452 loss: 2.3452 2022/07/27 13:53:03 - mmengine - INFO - Epoch(train) [50][1440/3757] lr: 8.2803e-03 eta: 2 days, 5:39:55 time: 0.3906 data_time: 0.0151 memory: 17007 grad_norm: 5.7475 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6607 loss: 2.6607 2022/07/27 13:53:10 - mmengine - INFO - Epoch(train) [50][1460/3757] lr: 8.2803e-03 eta: 2 days, 5:39:47 time: 0.3927 data_time: 0.0152 memory: 17007 grad_norm: 5.8619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2626 loss: 2.2626 2022/07/27 13:53:18 - mmengine - INFO - Epoch(train) [50][1480/3757] lr: 8.2803e-03 eta: 2 days, 5:39:40 time: 0.3955 data_time: 0.0153 memory: 17007 grad_norm: 6.1454 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3627 loss: 2.3627 2022/07/27 13:53:26 - mmengine - INFO - Epoch(train) [50][1500/3757] lr: 8.2803e-03 eta: 2 days, 5:39:32 time: 0.3924 data_time: 0.0154 memory: 17007 grad_norm: 5.8885 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5477 loss: 2.5477 2022/07/27 13:53:34 - mmengine - INFO - Epoch(train) [50][1520/3757] lr: 8.2803e-03 eta: 2 days, 5:39:24 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 5.8262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1580 loss: 2.1580 2022/07/27 13:53:42 - mmengine - INFO - Epoch(train) [50][1540/3757] lr: 8.2803e-03 eta: 2 days, 5:39:16 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 6.0176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3689 loss: 2.3689 2022/07/27 13:53:50 - mmengine - INFO - Epoch(train) [50][1560/3757] lr: 8.2803e-03 eta: 2 days, 5:39:08 time: 0.3944 data_time: 0.0192 memory: 17007 grad_norm: 6.0822 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5997 loss: 2.5997 2022/07/27 13:53:58 - mmengine - INFO - Epoch(train) [50][1580/3757] lr: 8.2803e-03 eta: 2 days, 5:39:00 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.0778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6467 loss: 2.6467 2022/07/27 13:54:06 - mmengine - INFO - Epoch(train) [50][1600/3757] lr: 8.2803e-03 eta: 2 days, 5:38:53 time: 0.4040 data_time: 0.0168 memory: 17007 grad_norm: 5.9660 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5775 loss: 2.5775 2022/07/27 13:54:14 - mmengine - INFO - Epoch(train) [50][1620/3757] lr: 8.2803e-03 eta: 2 days, 5:38:45 time: 0.3945 data_time: 0.0137 memory: 17007 grad_norm: 6.1103 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5270 loss: 2.5270 2022/07/27 13:54:21 - mmengine - INFO - Epoch(train) [50][1640/3757] lr: 8.2803e-03 eta: 2 days, 5:38:37 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 6.0102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6371 loss: 2.6371 2022/07/27 13:54:29 - mmengine - INFO - Epoch(train) [50][1660/3757] lr: 8.2803e-03 eta: 2 days, 5:38:29 time: 0.3982 data_time: 0.0144 memory: 17007 grad_norm: 5.8184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0469 loss: 2.0469 2022/07/27 13:54:37 - mmengine - INFO - Epoch(train) [50][1680/3757] lr: 8.2803e-03 eta: 2 days, 5:38:22 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 6.1531 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4295 loss: 2.4295 2022/07/27 13:54:45 - mmengine - INFO - Epoch(train) [50][1700/3757] lr: 8.2803e-03 eta: 2 days, 5:38:14 time: 0.3949 data_time: 0.0149 memory: 17007 grad_norm: 6.1795 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5184 loss: 2.5184 2022/07/27 13:54:53 - mmengine - INFO - Epoch(train) [50][1720/3757] lr: 8.2803e-03 eta: 2 days, 5:38:06 time: 0.3915 data_time: 0.0151 memory: 17007 grad_norm: 6.0661 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3172 loss: 2.3172 2022/07/27 13:55:01 - mmengine - INFO - Epoch(train) [50][1740/3757] lr: 8.2803e-03 eta: 2 days, 5:37:58 time: 0.3928 data_time: 0.0140 memory: 17007 grad_norm: 6.1933 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3993 loss: 2.3993 2022/07/27 13:55:09 - mmengine - INFO - Epoch(train) [50][1760/3757] lr: 8.2803e-03 eta: 2 days, 5:37:50 time: 0.4006 data_time: 0.0160 memory: 17007 grad_norm: 5.9459 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6155 loss: 2.6155 2022/07/27 13:55:17 - mmengine - INFO - Epoch(train) [50][1780/3757] lr: 8.2803e-03 eta: 2 days, 5:37:42 time: 0.3922 data_time: 0.0139 memory: 17007 grad_norm: 5.9749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3714 loss: 2.3714 2022/07/27 13:55:25 - mmengine - INFO - Epoch(train) [50][1800/3757] lr: 8.2803e-03 eta: 2 days, 5:37:35 time: 0.4057 data_time: 0.0160 memory: 17007 grad_norm: 6.0962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2144 loss: 2.2144 2022/07/27 13:55:33 - mmengine - INFO - Epoch(train) [50][1820/3757] lr: 8.2803e-03 eta: 2 days, 5:37:27 time: 0.3911 data_time: 0.0139 memory: 17007 grad_norm: 5.8701 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6570 loss: 2.6570 2022/07/27 13:55:41 - mmengine - INFO - Epoch(train) [50][1840/3757] lr: 8.2803e-03 eta: 2 days, 5:37:19 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 5.9628 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9438 loss: 1.9438 2022/07/27 13:55:49 - mmengine - INFO - Epoch(train) [50][1860/3757] lr: 8.2803e-03 eta: 2 days, 5:37:11 time: 0.3973 data_time: 0.0155 memory: 17007 grad_norm: 5.7835 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8333 loss: 2.8333 2022/07/27 13:55:56 - mmengine - INFO - Epoch(train) [50][1880/3757] lr: 8.2803e-03 eta: 2 days, 5:37:04 time: 0.3921 data_time: 0.0157 memory: 17007 grad_norm: 6.0742 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6949 loss: 2.6949 2022/07/27 13:56:04 - mmengine - INFO - Epoch(train) [50][1900/3757] lr: 8.2803e-03 eta: 2 days, 5:36:56 time: 0.4017 data_time: 0.0157 memory: 17007 grad_norm: 5.8585 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4828 loss: 2.4828 2022/07/27 13:56:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 13:56:12 - mmengine - INFO - Epoch(train) [50][1920/3757] lr: 8.2803e-03 eta: 2 days, 5:36:48 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 5.8517 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5364 loss: 2.5364 2022/07/27 13:56:20 - mmengine - INFO - Epoch(train) [50][1940/3757] lr: 8.2803e-03 eta: 2 days, 5:36:40 time: 0.3900 data_time: 0.0131 memory: 17007 grad_norm: 5.9554 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2197 loss: 2.2197 2022/07/27 13:56:28 - mmengine - INFO - Epoch(train) [50][1960/3757] lr: 8.2803e-03 eta: 2 days, 5:36:33 time: 0.4148 data_time: 0.0161 memory: 17007 grad_norm: 6.0428 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5341 loss: 2.5341 2022/07/27 13:56:36 - mmengine - INFO - Epoch(train) [50][1980/3757] lr: 8.2803e-03 eta: 2 days, 5:36:25 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 6.0750 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2453 loss: 2.2453 2022/07/27 13:56:44 - mmengine - INFO - Epoch(train) [50][2000/3757] lr: 8.2803e-03 eta: 2 days, 5:36:17 time: 0.3931 data_time: 0.0157 memory: 17007 grad_norm: 5.9848 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2773 loss: 2.2773 2022/07/27 13:56:52 - mmengine - INFO - Epoch(train) [50][2020/3757] lr: 8.2803e-03 eta: 2 days, 5:36:09 time: 0.3914 data_time: 0.0141 memory: 17007 grad_norm: 5.8442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5154 loss: 2.5154 2022/07/27 13:57:00 - mmengine - INFO - Epoch(train) [50][2040/3757] lr: 8.2803e-03 eta: 2 days, 5:36:01 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 6.1182 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6944 loss: 2.6944 2022/07/27 13:57:08 - mmengine - INFO - Epoch(train) [50][2060/3757] lr: 8.2803e-03 eta: 2 days, 5:35:53 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 5.9443 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7145 loss: 2.7145 2022/07/27 13:57:15 - mmengine - INFO - Epoch(train) [50][2080/3757] lr: 8.2803e-03 eta: 2 days, 5:35:46 time: 0.3928 data_time: 0.0159 memory: 17007 grad_norm: 5.8786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1999 loss: 2.1999 2022/07/27 13:57:23 - mmengine - INFO - Epoch(train) [50][2100/3757] lr: 8.2803e-03 eta: 2 days, 5:35:38 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 6.2225 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6678 loss: 2.6678 2022/07/27 13:57:31 - mmengine - INFO - Epoch(train) [50][2120/3757] lr: 8.2803e-03 eta: 2 days, 5:35:30 time: 0.3949 data_time: 0.0171 memory: 17007 grad_norm: 6.0894 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6951 loss: 2.6951 2022/07/27 13:57:39 - mmengine - INFO - Epoch(train) [50][2140/3757] lr: 8.2803e-03 eta: 2 days, 5:35:22 time: 0.3918 data_time: 0.0143 memory: 17007 grad_norm: 6.0736 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4294 loss: 2.4294 2022/07/27 13:57:47 - mmengine - INFO - Epoch(train) [50][2160/3757] lr: 8.2803e-03 eta: 2 days, 5:35:14 time: 0.3956 data_time: 0.0171 memory: 17007 grad_norm: 6.0631 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2950 loss: 2.2950 2022/07/27 13:57:55 - mmengine - INFO - Epoch(train) [50][2180/3757] lr: 8.2803e-03 eta: 2 days, 5:35:06 time: 0.3990 data_time: 0.0148 memory: 17007 grad_norm: 10.0648 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7138 loss: 2.7138 2022/07/27 13:58:03 - mmengine - INFO - Epoch(train) [50][2200/3757] lr: 8.2803e-03 eta: 2 days, 5:34:59 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 6.2226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6180 loss: 2.6180 2022/07/27 13:58:11 - mmengine - INFO - Epoch(train) [50][2220/3757] lr: 8.2803e-03 eta: 2 days, 5:34:51 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 6.2424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6173 loss: 2.6173 2022/07/27 13:58:19 - mmengine - INFO - Epoch(train) [50][2240/3757] lr: 8.2803e-03 eta: 2 days, 5:34:43 time: 0.3981 data_time: 0.0151 memory: 17007 grad_norm: 5.8978 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5610 loss: 2.5610 2022/07/27 13:58:27 - mmengine - INFO - Epoch(train) [50][2260/3757] lr: 8.2803e-03 eta: 2 days, 5:34:35 time: 0.4001 data_time: 0.0159 memory: 17007 grad_norm: 6.1539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4576 loss: 2.4576 2022/07/27 13:58:35 - mmengine - INFO - Epoch(train) [50][2280/3757] lr: 8.2803e-03 eta: 2 days, 5:34:28 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 6.0383 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2385 loss: 2.2385 2022/07/27 13:58:42 - mmengine - INFO - Epoch(train) [50][2300/3757] lr: 8.2803e-03 eta: 2 days, 5:34:20 time: 0.3914 data_time: 0.0149 memory: 17007 grad_norm: 6.0990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5873 loss: 2.5873 2022/07/27 13:58:50 - mmengine - INFO - Epoch(train) [50][2320/3757] lr: 8.2803e-03 eta: 2 days, 5:34:12 time: 0.3959 data_time: 0.0167 memory: 17007 grad_norm: 6.1627 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4728 loss: 2.4728 2022/07/27 13:58:58 - mmengine - INFO - Epoch(train) [50][2340/3757] lr: 8.2803e-03 eta: 2 days, 5:34:04 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.1198 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3817 loss: 2.3817 2022/07/27 13:59:06 - mmengine - INFO - Epoch(train) [50][2360/3757] lr: 8.2803e-03 eta: 2 days, 5:33:57 time: 0.4092 data_time: 0.0167 memory: 17007 grad_norm: 6.1455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6898 loss: 2.6898 2022/07/27 13:59:14 - mmengine - INFO - Epoch(train) [50][2380/3757] lr: 8.2803e-03 eta: 2 days, 5:33:49 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 6.0380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4489 loss: 2.4489 2022/07/27 13:59:22 - mmengine - INFO - Epoch(train) [50][2400/3757] lr: 8.2803e-03 eta: 2 days, 5:33:41 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 6.2366 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2723 loss: 2.2723 2022/07/27 13:59:30 - mmengine - INFO - Epoch(train) [50][2420/3757] lr: 8.2803e-03 eta: 2 days, 5:33:34 time: 0.4163 data_time: 0.0157 memory: 17007 grad_norm: 6.2423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3527 loss: 2.3527 2022/07/27 13:59:38 - mmengine - INFO - Epoch(train) [50][2440/3757] lr: 8.2803e-03 eta: 2 days, 5:33:26 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 6.2426 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5275 loss: 2.5275 2022/07/27 13:59:47 - mmengine - INFO - Epoch(train) [50][2460/3757] lr: 8.2803e-03 eta: 2 days, 5:33:20 time: 0.4161 data_time: 0.0146 memory: 17007 grad_norm: 6.0372 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1373 loss: 2.1373 2022/07/27 13:59:54 - mmengine - INFO - Epoch(train) [50][2480/3757] lr: 8.2803e-03 eta: 2 days, 5:33:12 time: 0.3931 data_time: 0.0162 memory: 17007 grad_norm: 6.2997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4717 loss: 2.4717 2022/07/27 14:00:02 - mmengine - INFO - Epoch(train) [50][2500/3757] lr: 8.2803e-03 eta: 2 days, 5:33:04 time: 0.3915 data_time: 0.0152 memory: 17007 grad_norm: 6.0249 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4107 loss: 2.4107 2022/07/27 14:00:10 - mmengine - INFO - Epoch(train) [50][2520/3757] lr: 8.2803e-03 eta: 2 days, 5:32:56 time: 0.3955 data_time: 0.0166 memory: 17007 grad_norm: 6.3146 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2811 loss: 2.2811 2022/07/27 14:00:18 - mmengine - INFO - Epoch(train) [50][2540/3757] lr: 8.2803e-03 eta: 2 days, 5:32:48 time: 0.3912 data_time: 0.0130 memory: 17007 grad_norm: 6.1434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3159 loss: 2.3159 2022/07/27 14:00:26 - mmengine - INFO - Epoch(train) [50][2560/3757] lr: 8.2803e-03 eta: 2 days, 5:32:40 time: 0.3968 data_time: 0.0168 memory: 17007 grad_norm: 6.0810 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1618 loss: 2.1618 2022/07/27 14:00:34 - mmengine - INFO - Epoch(train) [50][2580/3757] lr: 8.2803e-03 eta: 2 days, 5:32:32 time: 0.3914 data_time: 0.0141 memory: 17007 grad_norm: 6.1813 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3863 loss: 2.3863 2022/07/27 14:00:42 - mmengine - INFO - Epoch(train) [50][2600/3757] lr: 8.2803e-03 eta: 2 days, 5:32:24 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 6.2084 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3090 loss: 2.3090 2022/07/27 14:00:50 - mmengine - INFO - Epoch(train) [50][2620/3757] lr: 8.2803e-03 eta: 2 days, 5:32:17 time: 0.3997 data_time: 0.0134 memory: 17007 grad_norm: 5.9818 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2425 loss: 2.2425 2022/07/27 14:00:58 - mmengine - INFO - Epoch(train) [50][2640/3757] lr: 8.2803e-03 eta: 2 days, 5:32:09 time: 0.4040 data_time: 0.0154 memory: 17007 grad_norm: 5.8710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0687 loss: 2.0687 2022/07/27 14:01:06 - mmengine - INFO - Epoch(train) [50][2660/3757] lr: 8.2803e-03 eta: 2 days, 5:32:01 time: 0.3908 data_time: 0.0132 memory: 17007 grad_norm: 6.1555 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3592 loss: 2.3592 2022/07/27 14:01:13 - mmengine - INFO - Epoch(train) [50][2680/3757] lr: 8.2803e-03 eta: 2 days, 5:31:53 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 6.5574 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8091 loss: 2.8091 2022/07/27 14:01:21 - mmengine - INFO - Epoch(train) [50][2700/3757] lr: 8.2803e-03 eta: 2 days, 5:31:46 time: 0.3956 data_time: 0.0158 memory: 17007 grad_norm: 5.9932 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5916 loss: 2.5916 2022/07/27 14:01:29 - mmengine - INFO - Epoch(train) [50][2720/3757] lr: 8.2803e-03 eta: 2 days, 5:31:38 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 6.1150 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2890 loss: 2.2890 2022/07/27 14:01:37 - mmengine - INFO - Epoch(train) [50][2740/3757] lr: 8.2803e-03 eta: 2 days, 5:31:30 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 5.9414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2450 loss: 2.2450 2022/07/27 14:01:45 - mmengine - INFO - Epoch(train) [50][2760/3757] lr: 8.2803e-03 eta: 2 days, 5:31:22 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 6.0308 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5380 loss: 2.5380 2022/07/27 14:01:53 - mmengine - INFO - Epoch(train) [50][2780/3757] lr: 8.2803e-03 eta: 2 days, 5:31:14 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 6.1632 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7157 loss: 2.7157 2022/07/27 14:02:01 - mmengine - INFO - Epoch(train) [50][2800/3757] lr: 8.2803e-03 eta: 2 days, 5:31:06 time: 0.3945 data_time: 0.0163 memory: 17007 grad_norm: 6.0221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3391 loss: 2.3391 2022/07/27 14:02:09 - mmengine - INFO - Epoch(train) [50][2820/3757] lr: 8.2803e-03 eta: 2 days, 5:30:58 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 6.0411 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4476 loss: 2.4476 2022/07/27 14:02:17 - mmengine - INFO - Epoch(train) [50][2840/3757] lr: 8.2803e-03 eta: 2 days, 5:30:51 time: 0.3978 data_time: 0.0173 memory: 17007 grad_norm: 6.1001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2853 loss: 2.2853 2022/07/27 14:02:24 - mmengine - INFO - Epoch(train) [50][2860/3757] lr: 8.2803e-03 eta: 2 days, 5:30:43 time: 0.3921 data_time: 0.0153 memory: 17007 grad_norm: 6.1180 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5327 loss: 2.5327 2022/07/27 14:02:32 - mmengine - INFO - Epoch(train) [50][2880/3757] lr: 8.2803e-03 eta: 2 days, 5:30:35 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 6.2711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.7246 loss: 2.7246 2022/07/27 14:02:40 - mmengine - INFO - Epoch(train) [50][2900/3757] lr: 8.2803e-03 eta: 2 days, 5:30:27 time: 0.3920 data_time: 0.0149 memory: 17007 grad_norm: 6.2755 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5237 loss: 2.5237 2022/07/27 14:02:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:02:48 - mmengine - INFO - Epoch(train) [50][2920/3757] lr: 8.2803e-03 eta: 2 days, 5:30:19 time: 0.3950 data_time: 0.0159 memory: 17007 grad_norm: 5.9223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1808 loss: 2.1808 2022/07/27 14:02:56 - mmengine - INFO - Epoch(train) [50][2940/3757] lr: 8.2803e-03 eta: 2 days, 5:30:11 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 5.9453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3154 loss: 2.3154 2022/07/27 14:03:04 - mmengine - INFO - Epoch(train) [50][2960/3757] lr: 8.2803e-03 eta: 2 days, 5:30:03 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 6.0131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4808 loss: 2.4808 2022/07/27 14:03:12 - mmengine - INFO - Epoch(train) [50][2980/3757] lr: 8.2803e-03 eta: 2 days, 5:29:55 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 6.0896 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8646 loss: 2.8646 2022/07/27 14:03:20 - mmengine - INFO - Epoch(train) [50][3000/3757] lr: 8.2803e-03 eta: 2 days, 5:29:48 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 6.0336 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3417 loss: 2.3417 2022/07/27 14:03:27 - mmengine - INFO - Epoch(train) [50][3020/3757] lr: 8.2803e-03 eta: 2 days, 5:29:40 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.0894 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4946 loss: 2.4946 2022/07/27 14:03:35 - mmengine - INFO - Epoch(train) [50][3040/3757] lr: 8.2803e-03 eta: 2 days, 5:29:32 time: 0.3940 data_time: 0.0163 memory: 17007 grad_norm: 6.1580 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7029 loss: 2.7029 2022/07/27 14:03:43 - mmengine - INFO - Epoch(train) [50][3060/3757] lr: 8.2803e-03 eta: 2 days, 5:29:24 time: 0.3912 data_time: 0.0155 memory: 17007 grad_norm: 6.1989 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8249 loss: 2.8249 2022/07/27 14:03:51 - mmengine - INFO - Epoch(train) [50][3080/3757] lr: 8.2803e-03 eta: 2 days, 5:29:16 time: 0.4029 data_time: 0.0175 memory: 17007 grad_norm: 6.1148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2967 loss: 2.2967 2022/07/27 14:03:59 - mmengine - INFO - Epoch(train) [50][3100/3757] lr: 8.2803e-03 eta: 2 days, 5:29:09 time: 0.3969 data_time: 0.0163 memory: 17007 grad_norm: 6.0719 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3758 loss: 2.3758 2022/07/27 14:04:07 - mmengine - INFO - Epoch(train) [50][3120/3757] lr: 8.2803e-03 eta: 2 days, 5:29:01 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.0653 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4165 loss: 2.4165 2022/07/27 14:04:15 - mmengine - INFO - Epoch(train) [50][3140/3757] lr: 8.2803e-03 eta: 2 days, 5:28:53 time: 0.3942 data_time: 0.0164 memory: 17007 grad_norm: 6.1160 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.3836 loss: 2.3836 2022/07/27 14:04:23 - mmengine - INFO - Epoch(train) [50][3160/3757] lr: 8.2803e-03 eta: 2 days, 5:28:45 time: 0.3924 data_time: 0.0151 memory: 17007 grad_norm: 6.0616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4320 loss: 2.4320 2022/07/27 14:04:31 - mmengine - INFO - Epoch(train) [50][3180/3757] lr: 8.2803e-03 eta: 2 days, 5:28:37 time: 0.3928 data_time: 0.0133 memory: 17007 grad_norm: 6.1474 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4330 loss: 2.4330 2022/07/27 14:04:38 - mmengine - INFO - Epoch(train) [50][3200/3757] lr: 8.2803e-03 eta: 2 days, 5:28:29 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 6.0831 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6923 loss: 2.6923 2022/07/27 14:04:46 - mmengine - INFO - Epoch(train) [50][3220/3757] lr: 8.2803e-03 eta: 2 days, 5:28:22 time: 0.3987 data_time: 0.0141 memory: 17007 grad_norm: 6.0823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6169 loss: 2.6169 2022/07/27 14:04:54 - mmengine - INFO - Epoch(train) [50][3240/3757] lr: 8.2803e-03 eta: 2 days, 5:28:14 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 6.0788 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4900 loss: 2.4900 2022/07/27 14:05:02 - mmengine - INFO - Epoch(train) [50][3260/3757] lr: 8.2803e-03 eta: 2 days, 5:28:06 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 5.9694 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3935 loss: 2.3935 2022/07/27 14:05:10 - mmengine - INFO - Epoch(train) [50][3280/3757] lr: 8.2803e-03 eta: 2 days, 5:27:58 time: 0.3970 data_time: 0.0167 memory: 17007 grad_norm: 6.1551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5454 loss: 2.5454 2022/07/27 14:05:18 - mmengine - INFO - Epoch(train) [50][3300/3757] lr: 8.2803e-03 eta: 2 days, 5:27:50 time: 0.3968 data_time: 0.0133 memory: 17007 grad_norm: 5.9594 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6870 loss: 2.6870 2022/07/27 14:05:26 - mmengine - INFO - Epoch(train) [50][3320/3757] lr: 8.2803e-03 eta: 2 days, 5:27:43 time: 0.3981 data_time: 0.0167 memory: 17007 grad_norm: 6.0548 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5165 loss: 2.5165 2022/07/27 14:05:34 - mmengine - INFO - Epoch(train) [50][3340/3757] lr: 8.2803e-03 eta: 2 days, 5:27:35 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 5.9269 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4738 loss: 2.4738 2022/07/27 14:05:42 - mmengine - INFO - Epoch(train) [50][3360/3757] lr: 8.2803e-03 eta: 2 days, 5:27:27 time: 0.3975 data_time: 0.0157 memory: 17007 grad_norm: 6.0838 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5871 loss: 2.5871 2022/07/27 14:05:50 - mmengine - INFO - Epoch(train) [50][3380/3757] lr: 8.2803e-03 eta: 2 days, 5:27:19 time: 0.3935 data_time: 0.0168 memory: 17007 grad_norm: 6.2001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3036 loss: 2.3036 2022/07/27 14:05:58 - mmengine - INFO - Epoch(train) [50][3400/3757] lr: 8.2803e-03 eta: 2 days, 5:27:11 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 6.1165 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3715 loss: 2.3715 2022/07/27 14:06:06 - mmengine - INFO - Epoch(train) [50][3420/3757] lr: 8.2803e-03 eta: 2 days, 5:27:04 time: 0.3954 data_time: 0.0153 memory: 17007 grad_norm: 6.1209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2203 loss: 2.2203 2022/07/27 14:06:13 - mmengine - INFO - Epoch(train) [50][3440/3757] lr: 8.2803e-03 eta: 2 days, 5:26:56 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 6.1914 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6583 loss: 2.6583 2022/07/27 14:06:21 - mmengine - INFO - Epoch(train) [50][3460/3757] lr: 8.2803e-03 eta: 2 days, 5:26:48 time: 0.4047 data_time: 0.0149 memory: 17007 grad_norm: 6.1571 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5132 loss: 2.5132 2022/07/27 14:06:29 - mmengine - INFO - Epoch(train) [50][3480/3757] lr: 8.2803e-03 eta: 2 days, 5:26:41 time: 0.3951 data_time: 0.0161 memory: 17007 grad_norm: 6.0803 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.3555 loss: 2.3555 2022/07/27 14:06:37 - mmengine - INFO - Epoch(train) [50][3500/3757] lr: 8.2803e-03 eta: 2 days, 5:26:33 time: 0.3924 data_time: 0.0134 memory: 17007 grad_norm: 6.2376 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4793 loss: 2.4793 2022/07/27 14:06:45 - mmengine - INFO - Epoch(train) [50][3520/3757] lr: 8.2803e-03 eta: 2 days, 5:26:25 time: 0.3937 data_time: 0.0169 memory: 17007 grad_norm: 6.0374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3790 loss: 2.3790 2022/07/27 14:06:53 - mmengine - INFO - Epoch(train) [50][3540/3757] lr: 8.2803e-03 eta: 2 days, 5:26:17 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 6.2408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4063 loss: 2.4063 2022/07/27 14:07:01 - mmengine - INFO - Epoch(train) [50][3560/3757] lr: 8.2803e-03 eta: 2 days, 5:26:09 time: 0.3932 data_time: 0.0148 memory: 17007 grad_norm: 6.0822 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5967 loss: 2.5967 2022/07/27 14:07:09 - mmengine - INFO - Epoch(train) [50][3580/3757] lr: 8.2803e-03 eta: 2 days, 5:26:01 time: 0.3970 data_time: 0.0176 memory: 17007 grad_norm: 6.1546 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3420 loss: 2.3420 2022/07/27 14:07:17 - mmengine - INFO - Epoch(train) [50][3600/3757] lr: 8.2803e-03 eta: 2 days, 5:25:53 time: 0.3936 data_time: 0.0163 memory: 17007 grad_norm: 5.9395 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4616 loss: 2.4616 2022/07/27 14:07:25 - mmengine - INFO - Epoch(train) [50][3620/3757] lr: 8.2803e-03 eta: 2 days, 5:25:45 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 5.9600 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4462 loss: 2.4462 2022/07/27 14:07:32 - mmengine - INFO - Epoch(train) [50][3640/3757] lr: 8.2803e-03 eta: 2 days, 5:25:37 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 6.6960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1538 loss: 2.1538 2022/07/27 14:07:40 - mmengine - INFO - Epoch(train) [50][3660/3757] lr: 8.2803e-03 eta: 2 days, 5:25:30 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 6.1635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5944 loss: 2.5944 2022/07/27 14:07:48 - mmengine - INFO - Epoch(train) [50][3680/3757] lr: 8.2803e-03 eta: 2 days, 5:25:22 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 6.1125 top1_acc: 0.0000 top5_acc: 0.8750 loss_cls: 2.6095 loss: 2.6095 2022/07/27 14:07:56 - mmengine - INFO - Epoch(train) [50][3700/3757] lr: 8.2803e-03 eta: 2 days, 5:25:14 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 5.9207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3293 loss: 2.3293 2022/07/27 14:08:04 - mmengine - INFO - Epoch(train) [50][3720/3757] lr: 8.2803e-03 eta: 2 days, 5:25:06 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 5.9509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4636 loss: 2.4636 2022/07/27 14:08:12 - mmengine - INFO - Epoch(train) [50][3740/3757] lr: 8.2803e-03 eta: 2 days, 5:24:58 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 6.0663 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6231 loss: 2.6231 2022/07/27 14:08:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:08:18 - mmengine - INFO - Epoch(train) [50][3757/3757] lr: 8.2803e-03 eta: 2 days, 5:24:58 time: 0.3902 data_time: 0.0160 memory: 17007 grad_norm: 6.1010 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.4599 loss: 2.4599 2022/07/27 14:08:18 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/07/27 14:08:29 - mmengine - INFO - Epoch(train) [51][20/3757] lr: 8.2139e-03 eta: 2 days, 5:24:29 time: 0.4425 data_time: 0.0643 memory: 17007 grad_norm: 5.7615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2226 loss: 2.2226 2022/07/27 14:08:37 - mmengine - INFO - Epoch(train) [51][40/3757] lr: 8.2139e-03 eta: 2 days, 5:24:21 time: 0.3990 data_time: 0.0185 memory: 17007 grad_norm: 5.9811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1843 loss: 2.1843 2022/07/27 14:08:45 - mmengine - INFO - Epoch(train) [51][60/3757] lr: 8.2139e-03 eta: 2 days, 5:24:13 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 5.8773 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3155 loss: 2.3155 2022/07/27 14:08:53 - mmengine - INFO - Epoch(train) [51][80/3757] lr: 8.2139e-03 eta: 2 days, 5:24:05 time: 0.3926 data_time: 0.0166 memory: 17007 grad_norm: 6.1236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2205 loss: 2.2205 2022/07/27 14:09:01 - mmengine - INFO - Epoch(train) [51][100/3757] lr: 8.2139e-03 eta: 2 days, 5:23:58 time: 0.4030 data_time: 0.0153 memory: 17007 grad_norm: 5.9609 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6657 loss: 2.6657 2022/07/27 14:09:09 - mmengine - INFO - Epoch(train) [51][120/3757] lr: 8.2139e-03 eta: 2 days, 5:23:50 time: 0.3941 data_time: 0.0164 memory: 17007 grad_norm: 5.9551 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6564 loss: 2.6564 2022/07/27 14:09:17 - mmengine - INFO - Epoch(train) [51][140/3757] lr: 8.2139e-03 eta: 2 days, 5:23:42 time: 0.3945 data_time: 0.0147 memory: 17007 grad_norm: 5.7826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3315 loss: 2.3315 2022/07/27 14:09:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:09:25 - mmengine - INFO - Epoch(train) [51][160/3757] lr: 8.2139e-03 eta: 2 days, 5:23:34 time: 0.3919 data_time: 0.0148 memory: 17007 grad_norm: 5.9195 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2619 loss: 2.2619 2022/07/27 14:09:32 - mmengine - INFO - Epoch(train) [51][180/3757] lr: 8.2139e-03 eta: 2 days, 5:23:26 time: 0.3923 data_time: 0.0133 memory: 17007 grad_norm: 6.0947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5926 loss: 2.5926 2022/07/27 14:09:40 - mmengine - INFO - Epoch(train) [51][200/3757] lr: 8.2139e-03 eta: 2 days, 5:23:19 time: 0.3985 data_time: 0.0165 memory: 17007 grad_norm: 6.0068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4566 loss: 2.4566 2022/07/27 14:09:48 - mmengine - INFO - Epoch(train) [51][220/3757] lr: 8.2139e-03 eta: 2 days, 5:23:11 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 6.1258 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3764 loss: 2.3764 2022/07/27 14:09:57 - mmengine - INFO - Epoch(train) [51][240/3757] lr: 8.2139e-03 eta: 2 days, 5:23:04 time: 0.4124 data_time: 0.0168 memory: 17007 grad_norm: 5.9323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4566 loss: 2.4566 2022/07/27 14:10:04 - mmengine - INFO - Epoch(train) [51][260/3757] lr: 8.2139e-03 eta: 2 days, 5:22:56 time: 0.3921 data_time: 0.0151 memory: 17007 grad_norm: 6.0498 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2072 loss: 2.2072 2022/07/27 14:10:12 - mmengine - INFO - Epoch(train) [51][280/3757] lr: 8.2139e-03 eta: 2 days, 5:22:48 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 6.0014 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4065 loss: 2.4065 2022/07/27 14:10:20 - mmengine - INFO - Epoch(train) [51][300/3757] lr: 8.2139e-03 eta: 2 days, 5:22:41 time: 0.4031 data_time: 0.0164 memory: 17007 grad_norm: 5.9203 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5277 loss: 2.5277 2022/07/27 14:10:28 - mmengine - INFO - Epoch(train) [51][320/3757] lr: 8.2139e-03 eta: 2 days, 5:22:33 time: 0.3939 data_time: 0.0165 memory: 17007 grad_norm: 5.9557 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2690 loss: 2.2690 2022/07/27 14:10:36 - mmengine - INFO - Epoch(train) [51][340/3757] lr: 8.2139e-03 eta: 2 days, 5:22:26 time: 0.4071 data_time: 0.0164 memory: 17007 grad_norm: 5.9101 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1353 loss: 2.1353 2022/07/27 14:10:44 - mmengine - INFO - Epoch(train) [51][360/3757] lr: 8.2139e-03 eta: 2 days, 5:22:18 time: 0.3917 data_time: 0.0149 memory: 17007 grad_norm: 6.1056 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4899 loss: 2.4899 2022/07/27 14:10:52 - mmengine - INFO - Epoch(train) [51][380/3757] lr: 8.2139e-03 eta: 2 days, 5:22:10 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 6.0916 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5313 loss: 2.5313 2022/07/27 14:11:00 - mmengine - INFO - Epoch(train) [51][400/3757] lr: 8.2139e-03 eta: 2 days, 5:22:02 time: 0.3990 data_time: 0.0161 memory: 17007 grad_norm: 5.9640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3895 loss: 2.3895 2022/07/27 14:11:08 - mmengine - INFO - Epoch(train) [51][420/3757] lr: 8.2139e-03 eta: 2 days, 5:21:54 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 5.8736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3345 loss: 2.3345 2022/07/27 14:11:16 - mmengine - INFO - Epoch(train) [51][440/3757] lr: 8.2139e-03 eta: 2 days, 5:21:47 time: 0.4042 data_time: 0.0166 memory: 17007 grad_norm: 6.0403 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0737 loss: 2.0737 2022/07/27 14:11:24 - mmengine - INFO - Epoch(train) [51][460/3757] lr: 8.2139e-03 eta: 2 days, 5:21:39 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 5.8349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5268 loss: 2.5268 2022/07/27 14:11:32 - mmengine - INFO - Epoch(train) [51][480/3757] lr: 8.2139e-03 eta: 2 days, 5:21:31 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 6.1711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2599 loss: 2.2599 2022/07/27 14:11:40 - mmengine - INFO - Epoch(train) [51][500/3757] lr: 8.2139e-03 eta: 2 days, 5:21:25 time: 0.4300 data_time: 0.0181 memory: 17007 grad_norm: 6.0664 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4584 loss: 2.4584 2022/07/27 14:11:48 - mmengine - INFO - Epoch(train) [51][520/3757] lr: 8.2139e-03 eta: 2 days, 5:21:17 time: 0.3924 data_time: 0.0160 memory: 17007 grad_norm: 6.2256 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7828 loss: 2.7828 2022/07/27 14:11:56 - mmengine - INFO - Epoch(train) [51][540/3757] lr: 8.2139e-03 eta: 2 days, 5:21:09 time: 0.3978 data_time: 0.0167 memory: 17007 grad_norm: 5.9582 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4136 loss: 2.4136 2022/07/27 14:12:04 - mmengine - INFO - Epoch(train) [51][560/3757] lr: 8.2139e-03 eta: 2 days, 5:21:01 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 6.0044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2769 loss: 2.2769 2022/07/27 14:12:12 - mmengine - INFO - Epoch(train) [51][580/3757] lr: 8.2139e-03 eta: 2 days, 5:20:53 time: 0.3926 data_time: 0.0150 memory: 17007 grad_norm: 5.8368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9672 loss: 1.9672 2022/07/27 14:12:20 - mmengine - INFO - Epoch(train) [51][600/3757] lr: 8.2139e-03 eta: 2 days, 5:20:46 time: 0.3962 data_time: 0.0173 memory: 17007 grad_norm: 6.1748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3678 loss: 2.3678 2022/07/27 14:12:28 - mmengine - INFO - Epoch(train) [51][620/3757] lr: 8.2139e-03 eta: 2 days, 5:20:38 time: 0.3917 data_time: 0.0147 memory: 17007 grad_norm: 5.9201 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0870 loss: 2.0870 2022/07/27 14:12:36 - mmengine - INFO - Epoch(train) [51][640/3757] lr: 8.2139e-03 eta: 2 days, 5:20:30 time: 0.3995 data_time: 0.0190 memory: 17007 grad_norm: 6.5996 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1609 loss: 2.1609 2022/07/27 14:12:44 - mmengine - INFO - Epoch(train) [51][660/3757] lr: 8.2139e-03 eta: 2 days, 5:20:22 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 5.8679 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4300 loss: 2.4300 2022/07/27 14:12:51 - mmengine - INFO - Epoch(train) [51][680/3757] lr: 8.2139e-03 eta: 2 days, 5:20:14 time: 0.3924 data_time: 0.0148 memory: 17007 grad_norm: 6.2789 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4862 loss: 2.4862 2022/07/27 14:12:59 - mmengine - INFO - Epoch(train) [51][700/3757] lr: 8.2139e-03 eta: 2 days, 5:20:07 time: 0.3975 data_time: 0.0170 memory: 17007 grad_norm: 6.0341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4416 loss: 2.4416 2022/07/27 14:13:07 - mmengine - INFO - Epoch(train) [51][720/3757] lr: 8.2139e-03 eta: 2 days, 5:19:59 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 6.0198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2831 loss: 2.2831 2022/07/27 14:13:15 - mmengine - INFO - Epoch(train) [51][740/3757] lr: 8.2139e-03 eta: 2 days, 5:19:51 time: 0.3946 data_time: 0.0162 memory: 17007 grad_norm: 6.0709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4935 loss: 2.4935 2022/07/27 14:13:23 - mmengine - INFO - Epoch(train) [51][760/3757] lr: 8.2139e-03 eta: 2 days, 5:19:43 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 5.9841 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4188 loss: 2.4188 2022/07/27 14:13:31 - mmengine - INFO - Epoch(train) [51][780/3757] lr: 8.2139e-03 eta: 2 days, 5:19:35 time: 0.3920 data_time: 0.0145 memory: 17007 grad_norm: 5.9785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2255 loss: 2.2255 2022/07/27 14:13:39 - mmengine - INFO - Epoch(train) [51][800/3757] lr: 8.2139e-03 eta: 2 days, 5:19:27 time: 0.3979 data_time: 0.0171 memory: 17007 grad_norm: 5.8399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4818 loss: 2.4818 2022/07/27 14:13:47 - mmengine - INFO - Epoch(train) [51][820/3757] lr: 8.2139e-03 eta: 2 days, 5:19:19 time: 0.3916 data_time: 0.0139 memory: 17007 grad_norm: 6.1843 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2931 loss: 2.2931 2022/07/27 14:13:54 - mmengine - INFO - Epoch(train) [51][840/3757] lr: 8.2139e-03 eta: 2 days, 5:19:11 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 5.8370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0702 loss: 2.0702 2022/07/27 14:14:02 - mmengine - INFO - Epoch(train) [51][860/3757] lr: 8.2139e-03 eta: 2 days, 5:19:04 time: 0.3975 data_time: 0.0146 memory: 17007 grad_norm: 5.9512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3907 loss: 2.3907 2022/07/27 14:14:10 - mmengine - INFO - Epoch(train) [51][880/3757] lr: 8.2139e-03 eta: 2 days, 5:18:56 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 6.1092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4039 loss: 2.4039 2022/07/27 14:14:18 - mmengine - INFO - Epoch(train) [51][900/3757] lr: 8.2139e-03 eta: 2 days, 5:18:48 time: 0.3948 data_time: 0.0164 memory: 17007 grad_norm: 5.9138 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6085 loss: 2.6085 2022/07/27 14:14:26 - mmengine - INFO - Epoch(train) [51][920/3757] lr: 8.2139e-03 eta: 2 days, 5:18:40 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 5.9666 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5692 loss: 2.5692 2022/07/27 14:14:34 - mmengine - INFO - Epoch(train) [51][940/3757] lr: 8.2139e-03 eta: 2 days, 5:18:32 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 6.0334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4663 loss: 2.4663 2022/07/27 14:14:42 - mmengine - INFO - Epoch(train) [51][960/3757] lr: 8.2139e-03 eta: 2 days, 5:18:24 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 5.8983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4700 loss: 2.4700 2022/07/27 14:14:50 - mmengine - INFO - Epoch(train) [51][980/3757] lr: 8.2139e-03 eta: 2 days, 5:18:17 time: 0.3963 data_time: 0.0155 memory: 17007 grad_norm: 5.8377 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.2894 loss: 2.2894 2022/07/27 14:14:58 - mmengine - INFO - Epoch(train) [51][1000/3757] lr: 8.2139e-03 eta: 2 days, 5:18:09 time: 0.3968 data_time: 0.0170 memory: 17007 grad_norm: 6.1422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5065 loss: 2.5065 2022/07/27 14:15:06 - mmengine - INFO - Epoch(train) [51][1020/3757] lr: 8.2139e-03 eta: 2 days, 5:18:01 time: 0.3928 data_time: 0.0147 memory: 17007 grad_norm: 5.9158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2710 loss: 2.2710 2022/07/27 14:15:13 - mmengine - INFO - Epoch(train) [51][1040/3757] lr: 8.2139e-03 eta: 2 days, 5:17:53 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.9541 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5465 loss: 2.5465 2022/07/27 14:15:21 - mmengine - INFO - Epoch(train) [51][1060/3757] lr: 8.2139e-03 eta: 2 days, 5:17:45 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 6.1960 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4341 loss: 2.4341 2022/07/27 14:15:29 - mmengine - INFO - Epoch(train) [51][1080/3757] lr: 8.2139e-03 eta: 2 days, 5:17:37 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 5.9463 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4126 loss: 2.4126 2022/07/27 14:15:37 - mmengine - INFO - Epoch(train) [51][1100/3757] lr: 8.2139e-03 eta: 2 days, 5:17:30 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 5.8639 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3609 loss: 2.3609 2022/07/27 14:15:45 - mmengine - INFO - Epoch(train) [51][1120/3757] lr: 8.2139e-03 eta: 2 days, 5:17:22 time: 0.3920 data_time: 0.0155 memory: 17007 grad_norm: 6.0700 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6448 loss: 2.6448 2022/07/27 14:15:53 - mmengine - INFO - Epoch(train) [51][1140/3757] lr: 8.2139e-03 eta: 2 days, 5:17:14 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 6.1343 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2940 loss: 2.2940 2022/07/27 14:15:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:16:01 - mmengine - INFO - Epoch(train) [51][1160/3757] lr: 8.2139e-03 eta: 2 days, 5:17:06 time: 0.4011 data_time: 0.0165 memory: 17007 grad_norm: 5.7230 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2726 loss: 2.2726 2022/07/27 14:16:09 - mmengine - INFO - Epoch(train) [51][1180/3757] lr: 8.2139e-03 eta: 2 days, 5:16:58 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 5.9211 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3055 loss: 2.3055 2022/07/27 14:16:17 - mmengine - INFO - Epoch(train) [51][1200/3757] lr: 8.2139e-03 eta: 2 days, 5:16:51 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.9173 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7844 loss: 1.7844 2022/07/27 14:16:24 - mmengine - INFO - Epoch(train) [51][1220/3757] lr: 8.2139e-03 eta: 2 days, 5:16:43 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 6.1056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4498 loss: 2.4498 2022/07/27 14:16:32 - mmengine - INFO - Epoch(train) [51][1240/3757] lr: 8.2139e-03 eta: 2 days, 5:16:35 time: 0.3952 data_time: 0.0169 memory: 17007 grad_norm: 5.8793 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4818 loss: 2.4818 2022/07/27 14:16:40 - mmengine - INFO - Epoch(train) [51][1260/3757] lr: 8.2139e-03 eta: 2 days, 5:16:27 time: 0.3961 data_time: 0.0151 memory: 17007 grad_norm: 6.0549 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1694 loss: 2.1694 2022/07/27 14:16:48 - mmengine - INFO - Epoch(train) [51][1280/3757] lr: 8.2139e-03 eta: 2 days, 5:16:19 time: 0.3953 data_time: 0.0165 memory: 17007 grad_norm: 6.0048 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5254 loss: 2.5254 2022/07/27 14:16:56 - mmengine - INFO - Epoch(train) [51][1300/3757] lr: 8.2139e-03 eta: 2 days, 5:16:11 time: 0.3934 data_time: 0.0165 memory: 17007 grad_norm: 5.8386 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2396 loss: 2.2396 2022/07/27 14:17:04 - mmengine - INFO - Epoch(train) [51][1320/3757] lr: 8.2139e-03 eta: 2 days, 5:16:03 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 6.0104 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5240 loss: 2.5240 2022/07/27 14:17:12 - mmengine - INFO - Epoch(train) [51][1340/3757] lr: 8.2139e-03 eta: 2 days, 5:15:56 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 5.9809 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6147 loss: 2.6147 2022/07/27 14:17:20 - mmengine - INFO - Epoch(train) [51][1360/3757] lr: 8.2139e-03 eta: 2 days, 5:15:48 time: 0.3964 data_time: 0.0162 memory: 17007 grad_norm: 6.1030 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1681 loss: 2.1681 2022/07/27 14:17:28 - mmengine - INFO - Epoch(train) [51][1380/3757] lr: 8.2139e-03 eta: 2 days, 5:15:40 time: 0.3986 data_time: 0.0152 memory: 17007 grad_norm: 6.0030 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2552 loss: 2.2552 2022/07/27 14:17:36 - mmengine - INFO - Epoch(train) [51][1400/3757] lr: 8.2139e-03 eta: 2 days, 5:15:33 time: 0.4039 data_time: 0.0172 memory: 17007 grad_norm: 5.8877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2379 loss: 2.2379 2022/07/27 14:17:44 - mmengine - INFO - Epoch(train) [51][1420/3757] lr: 8.2139e-03 eta: 2 days, 5:15:25 time: 0.3926 data_time: 0.0132 memory: 17007 grad_norm: 5.8305 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3280 loss: 2.3280 2022/07/27 14:17:52 - mmengine - INFO - Epoch(train) [51][1440/3757] lr: 8.2139e-03 eta: 2 days, 5:15:18 time: 0.4065 data_time: 0.0165 memory: 17007 grad_norm: 5.8966 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3093 loss: 2.3093 2022/07/27 14:18:00 - mmengine - INFO - Epoch(train) [51][1460/3757] lr: 8.2139e-03 eta: 2 days, 5:15:10 time: 0.3911 data_time: 0.0141 memory: 17007 grad_norm: 6.1091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5888 loss: 2.5888 2022/07/27 14:18:08 - mmengine - INFO - Epoch(train) [51][1480/3757] lr: 8.2139e-03 eta: 2 days, 5:15:02 time: 0.3971 data_time: 0.0169 memory: 17007 grad_norm: 5.9092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1404 loss: 2.1404 2022/07/27 14:18:15 - mmengine - INFO - Epoch(train) [51][1500/3757] lr: 8.2139e-03 eta: 2 days, 5:14:54 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 5.8881 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7779 loss: 2.7779 2022/07/27 14:18:23 - mmengine - INFO - Epoch(train) [51][1520/3757] lr: 8.2139e-03 eta: 2 days, 5:14:46 time: 0.3961 data_time: 0.0168 memory: 17007 grad_norm: 6.2090 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5263 loss: 2.5263 2022/07/27 14:18:31 - mmengine - INFO - Epoch(train) [51][1540/3757] lr: 8.2139e-03 eta: 2 days, 5:14:39 time: 0.3957 data_time: 0.0159 memory: 17007 grad_norm: 5.9929 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0807 loss: 2.0807 2022/07/27 14:18:39 - mmengine - INFO - Epoch(train) [51][1560/3757] lr: 8.2139e-03 eta: 2 days, 5:14:31 time: 0.3938 data_time: 0.0169 memory: 17007 grad_norm: 5.8643 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3696 loss: 2.3696 2022/07/27 14:18:47 - mmengine - INFO - Epoch(train) [51][1580/3757] lr: 8.2139e-03 eta: 2 days, 5:14:23 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 5.9248 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3265 loss: 2.3265 2022/07/27 14:18:55 - mmengine - INFO - Epoch(train) [51][1600/3757] lr: 8.2139e-03 eta: 2 days, 5:14:15 time: 0.3924 data_time: 0.0179 memory: 17007 grad_norm: 5.8230 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2615 loss: 2.2615 2022/07/27 14:19:03 - mmengine - INFO - Epoch(train) [51][1620/3757] lr: 8.2139e-03 eta: 2 days, 5:14:07 time: 0.3928 data_time: 0.0144 memory: 17007 grad_norm: 5.9188 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6150 loss: 2.6150 2022/07/27 14:19:11 - mmengine - INFO - Epoch(train) [51][1640/3757] lr: 8.2139e-03 eta: 2 days, 5:13:59 time: 0.3951 data_time: 0.0170 memory: 17007 grad_norm: 6.1152 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1588 loss: 2.1588 2022/07/27 14:19:19 - mmengine - INFO - Epoch(train) [51][1660/3757] lr: 8.2139e-03 eta: 2 days, 5:13:51 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 6.3209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6411 loss: 2.6411 2022/07/27 14:19:27 - mmengine - INFO - Epoch(train) [51][1680/3757] lr: 8.2139e-03 eta: 2 days, 5:13:44 time: 0.4079 data_time: 0.0160 memory: 17007 grad_norm: 6.1117 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5416 loss: 2.5416 2022/07/27 14:19:35 - mmengine - INFO - Epoch(train) [51][1700/3757] lr: 8.2139e-03 eta: 2 days, 5:13:36 time: 0.3913 data_time: 0.0148 memory: 17007 grad_norm: 6.2862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4422 loss: 2.4422 2022/07/27 14:19:43 - mmengine - INFO - Epoch(train) [51][1720/3757] lr: 8.2139e-03 eta: 2 days, 5:13:28 time: 0.3975 data_time: 0.0165 memory: 17007 grad_norm: 6.3088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3594 loss: 2.3594 2022/07/27 14:19:50 - mmengine - INFO - Epoch(train) [51][1740/3757] lr: 8.2139e-03 eta: 2 days, 5:13:20 time: 0.3902 data_time: 0.0143 memory: 17007 grad_norm: 5.9126 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2175 loss: 2.2175 2022/07/27 14:19:58 - mmengine - INFO - Epoch(train) [51][1760/3757] lr: 8.2139e-03 eta: 2 days, 5:13:13 time: 0.3969 data_time: 0.0166 memory: 17007 grad_norm: 5.9559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4165 loss: 2.4165 2022/07/27 14:20:06 - mmengine - INFO - Epoch(train) [51][1780/3757] lr: 8.2139e-03 eta: 2 days, 5:13:06 time: 0.4102 data_time: 0.0146 memory: 17007 grad_norm: 6.1026 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7081 loss: 2.7081 2022/07/27 14:20:14 - mmengine - INFO - Epoch(train) [51][1800/3757] lr: 8.2139e-03 eta: 2 days, 5:12:58 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 6.1007 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4278 loss: 2.4278 2022/07/27 14:20:22 - mmengine - INFO - Epoch(train) [51][1820/3757] lr: 8.2139e-03 eta: 2 days, 5:12:50 time: 0.3982 data_time: 0.0161 memory: 17007 grad_norm: 6.1239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5771 loss: 2.5771 2022/07/27 14:20:30 - mmengine - INFO - Epoch(train) [51][1840/3757] lr: 8.2139e-03 eta: 2 days, 5:12:42 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 6.1613 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7128 loss: 2.7128 2022/07/27 14:20:38 - mmengine - INFO - Epoch(train) [51][1860/3757] lr: 8.2139e-03 eta: 2 days, 5:12:34 time: 0.3919 data_time: 0.0153 memory: 17007 grad_norm: 6.0949 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1991 loss: 2.1991 2022/07/27 14:20:46 - mmengine - INFO - Epoch(train) [51][1880/3757] lr: 8.2139e-03 eta: 2 days, 5:12:26 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 6.3060 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4431 loss: 2.4431 2022/07/27 14:20:54 - mmengine - INFO - Epoch(train) [51][1900/3757] lr: 8.2139e-03 eta: 2 days, 5:12:19 time: 0.4002 data_time: 0.0153 memory: 17007 grad_norm: 6.0997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5276 loss: 2.5276 2022/07/27 14:21:02 - mmengine - INFO - Epoch(train) [51][1920/3757] lr: 8.2139e-03 eta: 2 days, 5:12:11 time: 0.3978 data_time: 0.0170 memory: 17007 grad_norm: 5.8739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1867 loss: 2.1867 2022/07/27 14:21:10 - mmengine - INFO - Epoch(train) [51][1940/3757] lr: 8.2139e-03 eta: 2 days, 5:12:04 time: 0.4083 data_time: 0.0158 memory: 17007 grad_norm: 5.9970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0918 loss: 2.0918 2022/07/27 14:21:18 - mmengine - INFO - Epoch(train) [51][1960/3757] lr: 8.2139e-03 eta: 2 days, 5:11:56 time: 0.3981 data_time: 0.0165 memory: 17007 grad_norm: 5.8710 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3003 loss: 2.3003 2022/07/27 14:21:26 - mmengine - INFO - Epoch(train) [51][1980/3757] lr: 8.2139e-03 eta: 2 days, 5:11:48 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 7.6968 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2906 loss: 2.2906 2022/07/27 14:21:34 - mmengine - INFO - Epoch(train) [51][2000/3757] lr: 8.2139e-03 eta: 2 days, 5:11:41 time: 0.4064 data_time: 0.0156 memory: 17007 grad_norm: 6.4255 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4755 loss: 2.4755 2022/07/27 14:21:42 - mmengine - INFO - Epoch(train) [51][2020/3757] lr: 8.2139e-03 eta: 2 days, 5:11:33 time: 0.3979 data_time: 0.0143 memory: 17007 grad_norm: 6.3558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7797 loss: 2.7797 2022/07/27 14:21:50 - mmengine - INFO - Epoch(train) [51][2040/3757] lr: 8.2139e-03 eta: 2 days, 5:11:26 time: 0.4099 data_time: 0.0159 memory: 17007 grad_norm: 6.3055 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5533 loss: 2.5533 2022/07/27 14:21:58 - mmengine - INFO - Epoch(train) [51][2060/3757] lr: 8.2139e-03 eta: 2 days, 5:11:19 time: 0.3976 data_time: 0.0168 memory: 17007 grad_norm: 6.4549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2805 loss: 2.2805 2022/07/27 14:22:06 - mmengine - INFO - Epoch(train) [51][2080/3757] lr: 8.2139e-03 eta: 2 days, 5:11:11 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.2209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6732 loss: 2.6732 2022/07/27 14:22:14 - mmengine - INFO - Epoch(train) [51][2100/3757] lr: 8.2139e-03 eta: 2 days, 5:11:03 time: 0.3983 data_time: 0.0140 memory: 17007 grad_norm: 6.1510 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6691 loss: 2.6691 2022/07/27 14:22:22 - mmengine - INFO - Epoch(train) [51][2120/3757] lr: 8.2139e-03 eta: 2 days, 5:10:55 time: 0.3923 data_time: 0.0149 memory: 17007 grad_norm: 6.0453 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5919 loss: 2.5919 2022/07/27 14:22:30 - mmengine - INFO - Epoch(train) [51][2140/3757] lr: 8.2139e-03 eta: 2 days, 5:10:48 time: 0.3985 data_time: 0.0162 memory: 17007 grad_norm: 5.8354 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3998 loss: 2.3998 2022/07/27 14:22:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:22:38 - mmengine - INFO - Epoch(train) [51][2160/3757] lr: 8.2139e-03 eta: 2 days, 5:10:40 time: 0.3926 data_time: 0.0151 memory: 17007 grad_norm: 6.1186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2140 loss: 2.2140 2022/07/27 14:22:45 - mmengine - INFO - Epoch(train) [51][2180/3757] lr: 8.2139e-03 eta: 2 days, 5:10:32 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 6.1910 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7248 loss: 2.7248 2022/07/27 14:22:53 - mmengine - INFO - Epoch(train) [51][2200/3757] lr: 8.2139e-03 eta: 2 days, 5:10:24 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 6.0166 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3126 loss: 2.3126 2022/07/27 14:23:01 - mmengine - INFO - Epoch(train) [51][2220/3757] lr: 8.2139e-03 eta: 2 days, 5:10:16 time: 0.3955 data_time: 0.0162 memory: 17007 grad_norm: 5.8587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4051 loss: 2.4051 2022/07/27 14:23:09 - mmengine - INFO - Epoch(train) [51][2240/3757] lr: 8.2139e-03 eta: 2 days, 5:10:08 time: 0.3936 data_time: 0.0166 memory: 17007 grad_norm: 6.2817 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4519 loss: 2.4519 2022/07/27 14:23:17 - mmengine - INFO - Epoch(train) [51][2260/3757] lr: 8.2139e-03 eta: 2 days, 5:10:01 time: 0.3980 data_time: 0.0164 memory: 17007 grad_norm: 5.9438 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2588 loss: 2.2588 2022/07/27 14:23:25 - mmengine - INFO - Epoch(train) [51][2280/3757] lr: 8.2139e-03 eta: 2 days, 5:09:53 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 6.2965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3855 loss: 2.3855 2022/07/27 14:23:33 - mmengine - INFO - Epoch(train) [51][2300/3757] lr: 8.2139e-03 eta: 2 days, 5:09:45 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 5.8954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3435 loss: 2.3435 2022/07/27 14:23:41 - mmengine - INFO - Epoch(train) [51][2320/3757] lr: 8.2139e-03 eta: 2 days, 5:09:37 time: 0.4014 data_time: 0.0170 memory: 17007 grad_norm: 6.2337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4762 loss: 2.4762 2022/07/27 14:23:49 - mmengine - INFO - Epoch(train) [51][2340/3757] lr: 8.2139e-03 eta: 2 days, 5:09:29 time: 0.3947 data_time: 0.0178 memory: 17007 grad_norm: 5.9348 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2552 loss: 2.2552 2022/07/27 14:23:57 - mmengine - INFO - Epoch(train) [51][2360/3757] lr: 8.2139e-03 eta: 2 days, 5:09:22 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 5.9395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4508 loss: 2.4508 2022/07/27 14:24:04 - mmengine - INFO - Epoch(train) [51][2380/3757] lr: 8.2139e-03 eta: 2 days, 5:09:14 time: 0.3919 data_time: 0.0139 memory: 17007 grad_norm: 5.9734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4852 loss: 2.4852 2022/07/27 14:24:12 - mmengine - INFO - Epoch(train) [51][2400/3757] lr: 8.2139e-03 eta: 2 days, 5:09:06 time: 0.3950 data_time: 0.0166 memory: 17007 grad_norm: 6.0057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2128 loss: 2.2128 2022/07/27 14:24:20 - mmengine - INFO - Epoch(train) [51][2420/3757] lr: 8.2139e-03 eta: 2 days, 5:08:58 time: 0.3957 data_time: 0.0151 memory: 17007 grad_norm: 6.0471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4658 loss: 2.4658 2022/07/27 14:24:28 - mmengine - INFO - Epoch(train) [51][2440/3757] lr: 8.2139e-03 eta: 2 days, 5:08:50 time: 0.3959 data_time: 0.0169 memory: 17007 grad_norm: 5.9681 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3392 loss: 2.3392 2022/07/27 14:24:36 - mmengine - INFO - Epoch(train) [51][2460/3757] lr: 8.2139e-03 eta: 2 days, 5:08:42 time: 0.3937 data_time: 0.0155 memory: 17007 grad_norm: 6.1240 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1569 loss: 2.1569 2022/07/27 14:24:44 - mmengine - INFO - Epoch(train) [51][2480/3757] lr: 8.2139e-03 eta: 2 days, 5:08:34 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.9715 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3268 loss: 2.3268 2022/07/27 14:24:52 - mmengine - INFO - Epoch(train) [51][2500/3757] lr: 8.2139e-03 eta: 2 days, 5:08:27 time: 0.4077 data_time: 0.0156 memory: 17007 grad_norm: 5.9395 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7139 loss: 2.7139 2022/07/27 14:25:00 - mmengine - INFO - Epoch(train) [51][2520/3757] lr: 8.2139e-03 eta: 2 days, 5:08:20 time: 0.3960 data_time: 0.0169 memory: 17007 grad_norm: 5.8936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4296 loss: 2.4296 2022/07/27 14:25:08 - mmengine - INFO - Epoch(train) [51][2540/3757] lr: 8.2139e-03 eta: 2 days, 5:08:12 time: 0.3950 data_time: 0.0173 memory: 17007 grad_norm: 5.9547 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3636 loss: 2.3636 2022/07/27 14:25:16 - mmengine - INFO - Epoch(train) [51][2560/3757] lr: 8.2139e-03 eta: 2 days, 5:08:04 time: 0.3929 data_time: 0.0156 memory: 17007 grad_norm: 6.0567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2034 loss: 2.2034 2022/07/27 14:25:24 - mmengine - INFO - Epoch(train) [51][2580/3757] lr: 8.2139e-03 eta: 2 days, 5:07:56 time: 0.3971 data_time: 0.0148 memory: 17007 grad_norm: 6.1594 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3857 loss: 2.3857 2022/07/27 14:25:32 - mmengine - INFO - Epoch(train) [51][2600/3757] lr: 8.2139e-03 eta: 2 days, 5:07:48 time: 0.3977 data_time: 0.0174 memory: 17007 grad_norm: 5.8894 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3426 loss: 2.3426 2022/07/27 14:25:40 - mmengine - INFO - Epoch(train) [51][2620/3757] lr: 8.2139e-03 eta: 2 days, 5:07:41 time: 0.3986 data_time: 0.0153 memory: 17007 grad_norm: 6.0717 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4836 loss: 2.4836 2022/07/27 14:25:48 - mmengine - INFO - Epoch(train) [51][2640/3757] lr: 8.2139e-03 eta: 2 days, 5:07:33 time: 0.3932 data_time: 0.0167 memory: 17007 grad_norm: 5.9883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0917 loss: 2.0917 2022/07/27 14:25:55 - mmengine - INFO - Epoch(train) [51][2660/3757] lr: 8.2139e-03 eta: 2 days, 5:07:25 time: 0.3914 data_time: 0.0147 memory: 17007 grad_norm: 6.2483 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5426 loss: 2.5426 2022/07/27 14:26:03 - mmengine - INFO - Epoch(train) [51][2680/3757] lr: 8.2139e-03 eta: 2 days, 5:07:17 time: 0.3948 data_time: 0.0163 memory: 17007 grad_norm: 5.9707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0990 loss: 2.0990 2022/07/27 14:26:11 - mmengine - INFO - Epoch(train) [51][2700/3757] lr: 8.2139e-03 eta: 2 days, 5:07:09 time: 0.3977 data_time: 0.0157 memory: 17007 grad_norm: 5.9517 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3085 loss: 2.3085 2022/07/27 14:26:19 - mmengine - INFO - Epoch(train) [51][2720/3757] lr: 8.2139e-03 eta: 2 days, 5:07:02 time: 0.3957 data_time: 0.0170 memory: 17007 grad_norm: 5.7061 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4392 loss: 2.4392 2022/07/27 14:26:27 - mmengine - INFO - Epoch(train) [51][2740/3757] lr: 8.2139e-03 eta: 2 days, 5:06:54 time: 0.3943 data_time: 0.0140 memory: 17007 grad_norm: 6.2266 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5159 loss: 2.5159 2022/07/27 14:26:35 - mmengine - INFO - Epoch(train) [51][2760/3757] lr: 8.2139e-03 eta: 2 days, 5:06:46 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 6.2352 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2880 loss: 2.2880 2022/07/27 14:26:43 - mmengine - INFO - Epoch(train) [51][2780/3757] lr: 8.2139e-03 eta: 2 days, 5:06:38 time: 0.3960 data_time: 0.0150 memory: 17007 grad_norm: 5.9669 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3159 loss: 2.3159 2022/07/27 14:26:51 - mmengine - INFO - Epoch(train) [51][2800/3757] lr: 8.2139e-03 eta: 2 days, 5:06:31 time: 0.3993 data_time: 0.0172 memory: 17007 grad_norm: 6.1608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2425 loss: 2.2425 2022/07/27 14:26:59 - mmengine - INFO - Epoch(train) [51][2820/3757] lr: 8.2139e-03 eta: 2 days, 5:06:23 time: 0.3922 data_time: 0.0161 memory: 17007 grad_norm: 6.0131 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5368 loss: 2.5368 2022/07/27 14:27:07 - mmengine - INFO - Epoch(train) [51][2840/3757] lr: 8.2139e-03 eta: 2 days, 5:06:15 time: 0.4037 data_time: 0.0167 memory: 17007 grad_norm: 6.0254 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3372 loss: 2.3372 2022/07/27 14:27:15 - mmengine - INFO - Epoch(train) [51][2860/3757] lr: 8.2139e-03 eta: 2 days, 5:06:07 time: 0.3918 data_time: 0.0147 memory: 17007 grad_norm: 6.0000 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4090 loss: 2.4090 2022/07/27 14:27:23 - mmengine - INFO - Epoch(train) [51][2880/3757] lr: 8.2139e-03 eta: 2 days, 5:06:00 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 6.0173 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3012 loss: 2.3012 2022/07/27 14:27:31 - mmengine - INFO - Epoch(train) [51][2900/3757] lr: 8.2139e-03 eta: 2 days, 5:05:53 time: 0.4117 data_time: 0.0145 memory: 17007 grad_norm: 5.8923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4340 loss: 2.4340 2022/07/27 14:27:39 - mmengine - INFO - Epoch(train) [51][2920/3757] lr: 8.2139e-03 eta: 2 days, 5:05:45 time: 0.3946 data_time: 0.0173 memory: 17007 grad_norm: 6.0539 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8589 loss: 2.8589 2022/07/27 14:27:47 - mmengine - INFO - Epoch(train) [51][2940/3757] lr: 8.2139e-03 eta: 2 days, 5:05:37 time: 0.3994 data_time: 0.0138 memory: 17007 grad_norm: 6.2810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6545 loss: 2.6545 2022/07/27 14:27:55 - mmengine - INFO - Epoch(train) [51][2960/3757] lr: 8.2139e-03 eta: 2 days, 5:05:29 time: 0.3928 data_time: 0.0160 memory: 17007 grad_norm: 5.9599 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2353 loss: 2.2353 2022/07/27 14:28:02 - mmengine - INFO - Epoch(train) [51][2980/3757] lr: 8.2139e-03 eta: 2 days, 5:05:21 time: 0.3927 data_time: 0.0156 memory: 17007 grad_norm: 5.9744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4533 loss: 2.4533 2022/07/27 14:28:10 - mmengine - INFO - Epoch(train) [51][3000/3757] lr: 8.2139e-03 eta: 2 days, 5:05:13 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 6.2574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2777 loss: 2.2777 2022/07/27 14:28:18 - mmengine - INFO - Epoch(train) [51][3020/3757] lr: 8.2139e-03 eta: 2 days, 5:05:06 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 6.0443 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3672 loss: 2.3672 2022/07/27 14:28:26 - mmengine - INFO - Epoch(train) [51][3040/3757] lr: 8.2139e-03 eta: 2 days, 5:04:58 time: 0.3913 data_time: 0.0157 memory: 17007 grad_norm: 5.9700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6281 loss: 2.6281 2022/07/27 14:28:34 - mmengine - INFO - Epoch(train) [51][3060/3757] lr: 8.2139e-03 eta: 2 days, 5:04:50 time: 0.3941 data_time: 0.0165 memory: 17007 grad_norm: 5.7839 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3842 loss: 2.3842 2022/07/27 14:28:42 - mmengine - INFO - Epoch(train) [51][3080/3757] lr: 8.2139e-03 eta: 2 days, 5:04:42 time: 0.3938 data_time: 0.0166 memory: 17007 grad_norm: 6.0044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4711 loss: 2.4711 2022/07/27 14:28:50 - mmengine - INFO - Epoch(train) [51][3100/3757] lr: 8.2139e-03 eta: 2 days, 5:04:34 time: 0.3963 data_time: 0.0139 memory: 17007 grad_norm: 6.1998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2285 loss: 2.2285 2022/07/27 14:28:58 - mmengine - INFO - Epoch(train) [51][3120/3757] lr: 8.2139e-03 eta: 2 days, 5:04:26 time: 0.3954 data_time: 0.0178 memory: 17007 grad_norm: 6.1467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3691 loss: 2.3691 2022/07/27 14:29:05 - mmengine - INFO - Epoch(train) [51][3140/3757] lr: 8.2139e-03 eta: 2 days, 5:04:18 time: 0.3919 data_time: 0.0151 memory: 17007 grad_norm: 6.2119 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1239 loss: 2.1239 2022/07/27 14:29:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:29:14 - mmengine - INFO - Epoch(train) [51][3160/3757] lr: 8.2139e-03 eta: 2 days, 5:04:11 time: 0.4035 data_time: 0.0155 memory: 17007 grad_norm: 6.0360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5235 loss: 2.5235 2022/07/27 14:29:21 - mmengine - INFO - Epoch(train) [51][3180/3757] lr: 8.2139e-03 eta: 2 days, 5:04:03 time: 0.3931 data_time: 0.0148 memory: 17007 grad_norm: 6.2160 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4081 loss: 2.4081 2022/07/27 14:29:30 - mmengine - INFO - Epoch(train) [51][3200/3757] lr: 8.2139e-03 eta: 2 days, 5:03:56 time: 0.4164 data_time: 0.0167 memory: 17007 grad_norm: 5.9418 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1602 loss: 2.1602 2022/07/27 14:29:38 - mmengine - INFO - Epoch(train) [51][3220/3757] lr: 8.2139e-03 eta: 2 days, 5:03:49 time: 0.3983 data_time: 0.0161 memory: 17007 grad_norm: 5.9914 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6789 loss: 2.6789 2022/07/27 14:29:46 - mmengine - INFO - Epoch(train) [51][3240/3757] lr: 8.2139e-03 eta: 2 days, 5:03:41 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 6.1108 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5760 loss: 2.5760 2022/07/27 14:29:53 - mmengine - INFO - Epoch(train) [51][3260/3757] lr: 8.2139e-03 eta: 2 days, 5:03:33 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 5.9760 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5182 loss: 2.5182 2022/07/27 14:30:01 - mmengine - INFO - Epoch(train) [51][3280/3757] lr: 8.2139e-03 eta: 2 days, 5:03:25 time: 0.3992 data_time: 0.0173 memory: 17007 grad_norm: 6.1087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4152 loss: 2.4152 2022/07/27 14:30:09 - mmengine - INFO - Epoch(train) [51][3300/3757] lr: 8.2139e-03 eta: 2 days, 5:03:17 time: 0.3947 data_time: 0.0171 memory: 17007 grad_norm: 7.3824 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7879 loss: 2.7879 2022/07/27 14:30:17 - mmengine - INFO - Epoch(train) [51][3320/3757] lr: 8.2139e-03 eta: 2 days, 5:03:10 time: 0.3965 data_time: 0.0165 memory: 17007 grad_norm: 6.4118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4916 loss: 2.4916 2022/07/27 14:30:25 - mmengine - INFO - Epoch(train) [51][3340/3757] lr: 8.2139e-03 eta: 2 days, 5:03:02 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 6.2879 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9572 loss: 2.9572 2022/07/27 14:30:33 - mmengine - INFO - Epoch(train) [51][3360/3757] lr: 8.2139e-03 eta: 2 days, 5:02:54 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 6.5002 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9358 loss: 2.9358 2022/07/27 14:30:41 - mmengine - INFO - Epoch(train) [51][3380/3757] lr: 8.2139e-03 eta: 2 days, 5:02:46 time: 0.3956 data_time: 0.0145 memory: 17007 grad_norm: 5.9106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3308 loss: 2.3308 2022/07/27 14:30:49 - mmengine - INFO - Epoch(train) [51][3400/3757] lr: 8.2139e-03 eta: 2 days, 5:02:39 time: 0.4135 data_time: 0.0160 memory: 17007 grad_norm: 6.0664 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6549 loss: 2.6549 2022/07/27 14:30:57 - mmengine - INFO - Epoch(train) [51][3420/3757] lr: 8.2139e-03 eta: 2 days, 5:02:31 time: 0.3944 data_time: 0.0140 memory: 17007 grad_norm: 5.9131 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2111 loss: 2.2111 2022/07/27 14:31:05 - mmengine - INFO - Epoch(train) [51][3440/3757] lr: 8.2139e-03 eta: 2 days, 5:02:24 time: 0.3940 data_time: 0.0176 memory: 17007 grad_norm: 5.8683 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2255 loss: 2.2255 2022/07/27 14:31:13 - mmengine - INFO - Epoch(train) [51][3460/3757] lr: 8.2139e-03 eta: 2 days, 5:02:16 time: 0.3952 data_time: 0.0166 memory: 17007 grad_norm: 6.2044 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8430 loss: 2.8430 2022/07/27 14:31:21 - mmengine - INFO - Epoch(train) [51][3480/3757] lr: 8.2139e-03 eta: 2 days, 5:02:08 time: 0.3965 data_time: 0.0169 memory: 17007 grad_norm: 5.9589 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9952 loss: 1.9952 2022/07/27 14:31:29 - mmengine - INFO - Epoch(train) [51][3500/3757] lr: 8.2139e-03 eta: 2 days, 5:02:00 time: 0.3989 data_time: 0.0156 memory: 17007 grad_norm: 6.2120 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5469 loss: 2.5469 2022/07/27 14:31:37 - mmengine - INFO - Epoch(train) [51][3520/3757] lr: 8.2139e-03 eta: 2 days, 5:01:53 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 6.0943 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4719 loss: 2.4719 2022/07/27 14:31:45 - mmengine - INFO - Epoch(train) [51][3540/3757] lr: 8.2139e-03 eta: 2 days, 5:01:45 time: 0.3925 data_time: 0.0150 memory: 17007 grad_norm: 6.0154 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4617 loss: 2.4617 2022/07/27 14:31:53 - mmengine - INFO - Epoch(train) [51][3560/3757] lr: 8.2139e-03 eta: 2 days, 5:01:38 time: 0.4099 data_time: 0.0173 memory: 17007 grad_norm: 6.0379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3858 loss: 2.3858 2022/07/27 14:32:01 - mmengine - INFO - Epoch(train) [51][3580/3757] lr: 8.2139e-03 eta: 2 days, 5:01:30 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 6.0263 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6751 loss: 2.6751 2022/07/27 14:32:09 - mmengine - INFO - Epoch(train) [51][3600/3757] lr: 8.2139e-03 eta: 2 days, 5:01:22 time: 0.3995 data_time: 0.0156 memory: 17007 grad_norm: 5.9178 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5083 loss: 2.5083 2022/07/27 14:32:16 - mmengine - INFO - Epoch(train) [51][3620/3757] lr: 8.2139e-03 eta: 2 days, 5:01:14 time: 0.3935 data_time: 0.0155 memory: 17007 grad_norm: 5.9677 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2992 loss: 2.2992 2022/07/27 14:32:24 - mmengine - INFO - Epoch(train) [51][3640/3757] lr: 8.2139e-03 eta: 2 days, 5:01:06 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.0874 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4714 loss: 2.4714 2022/07/27 14:32:32 - mmengine - INFO - Epoch(train) [51][3660/3757] lr: 8.2139e-03 eta: 2 days, 5:00:59 time: 0.4042 data_time: 0.0154 memory: 17007 grad_norm: 6.2227 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2625 loss: 2.2625 2022/07/27 14:32:40 - mmengine - INFO - Epoch(train) [51][3680/3757] lr: 8.2139e-03 eta: 2 days, 5:00:51 time: 0.3935 data_time: 0.0166 memory: 17007 grad_norm: 6.2577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2289 loss: 2.2289 2022/07/27 14:32:48 - mmengine - INFO - Epoch(train) [51][3700/3757] lr: 8.2139e-03 eta: 2 days, 5:00:44 time: 0.4010 data_time: 0.0162 memory: 17007 grad_norm: 6.1838 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5210 loss: 2.5210 2022/07/27 14:32:56 - mmengine - INFO - Epoch(train) [51][3720/3757] lr: 8.2139e-03 eta: 2 days, 5:00:36 time: 0.3925 data_time: 0.0160 memory: 17007 grad_norm: 5.9904 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1284 loss: 2.1284 2022/07/27 14:33:04 - mmengine - INFO - Epoch(train) [51][3740/3757] lr: 8.2139e-03 eta: 2 days, 5:00:28 time: 0.3912 data_time: 0.0152 memory: 17007 grad_norm: 6.2093 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4567 loss: 2.4567 2022/07/27 14:33:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:33:11 - mmengine - INFO - Epoch(train) [51][3757/3757] lr: 8.2139e-03 eta: 2 days, 5:00:28 time: 0.4098 data_time: 0.0170 memory: 17007 grad_norm: 6.1827 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.2620 loss: 2.2620 2022/07/27 14:33:11 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/07/27 14:33:22 - mmengine - INFO - Epoch(train) [52][20/3757] lr: 8.1466e-03 eta: 2 days, 4:59:59 time: 0.4481 data_time: 0.0711 memory: 17007 grad_norm: 6.0478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3462 loss: 2.3462 2022/07/27 14:33:30 - mmengine - INFO - Epoch(train) [52][40/3757] lr: 8.1466e-03 eta: 2 days, 4:59:51 time: 0.4043 data_time: 0.0153 memory: 17007 grad_norm: 6.0693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3897 loss: 2.3897 2022/07/27 14:33:38 - mmengine - INFO - Epoch(train) [52][60/3757] lr: 8.1466e-03 eta: 2 days, 4:59:43 time: 0.3911 data_time: 0.0161 memory: 17007 grad_norm: 6.1243 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4815 loss: 2.4815 2022/07/27 14:33:46 - mmengine - INFO - Epoch(train) [52][80/3757] lr: 8.1466e-03 eta: 2 days, 4:59:36 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 6.1453 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4229 loss: 2.4229 2022/07/27 14:33:54 - mmengine - INFO - Epoch(train) [52][100/3757] lr: 8.1466e-03 eta: 2 days, 4:59:28 time: 0.3988 data_time: 0.0175 memory: 17007 grad_norm: 5.8385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2578 loss: 2.2578 2022/07/27 14:34:02 - mmengine - INFO - Epoch(train) [52][120/3757] lr: 8.1466e-03 eta: 2 days, 4:59:20 time: 0.3918 data_time: 0.0152 memory: 17007 grad_norm: 6.1387 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3884 loss: 2.3884 2022/07/27 14:34:10 - mmengine - INFO - Epoch(train) [52][140/3757] lr: 8.1466e-03 eta: 2 days, 4:59:12 time: 0.3972 data_time: 0.0183 memory: 17007 grad_norm: 6.0231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7483 loss: 2.7483 2022/07/27 14:34:18 - mmengine - INFO - Epoch(train) [52][160/3757] lr: 8.1466e-03 eta: 2 days, 4:59:05 time: 0.3959 data_time: 0.0166 memory: 17007 grad_norm: 5.9575 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0773 loss: 2.0773 2022/07/27 14:34:25 - mmengine - INFO - Epoch(train) [52][180/3757] lr: 8.1466e-03 eta: 2 days, 4:58:57 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 5.8194 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5538 loss: 2.5538 2022/07/27 14:34:33 - mmengine - INFO - Epoch(train) [52][200/3757] lr: 8.1466e-03 eta: 2 days, 4:58:49 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 5.8933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4066 loss: 2.4066 2022/07/27 14:34:41 - mmengine - INFO - Epoch(train) [52][220/3757] lr: 8.1466e-03 eta: 2 days, 4:58:41 time: 0.3918 data_time: 0.0145 memory: 17007 grad_norm: 5.6978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1315 loss: 2.1315 2022/07/27 14:34:49 - mmengine - INFO - Epoch(train) [52][240/3757] lr: 8.1466e-03 eta: 2 days, 4:58:33 time: 0.3991 data_time: 0.0184 memory: 17007 grad_norm: 6.0218 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1137 loss: 2.1137 2022/07/27 14:34:57 - mmengine - INFO - Epoch(train) [52][260/3757] lr: 8.1466e-03 eta: 2 days, 4:58:25 time: 0.3919 data_time: 0.0148 memory: 17007 grad_norm: 5.8953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4161 loss: 2.4161 2022/07/27 14:35:05 - mmengine - INFO - Epoch(train) [52][280/3757] lr: 8.1466e-03 eta: 2 days, 4:58:18 time: 0.3976 data_time: 0.0177 memory: 17007 grad_norm: 6.0694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2891 loss: 2.2891 2022/07/27 14:35:13 - mmengine - INFO - Epoch(train) [52][300/3757] lr: 8.1466e-03 eta: 2 days, 4:58:10 time: 0.3910 data_time: 0.0144 memory: 17007 grad_norm: 6.3429 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2205 loss: 2.2205 2022/07/27 14:35:21 - mmengine - INFO - Epoch(train) [52][320/3757] lr: 8.1466e-03 eta: 2 days, 4:58:02 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 6.2634 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1263 loss: 2.1263 2022/07/27 14:35:28 - mmengine - INFO - Epoch(train) [52][340/3757] lr: 8.1466e-03 eta: 2 days, 4:57:54 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 6.0677 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3811 loss: 2.3811 2022/07/27 14:35:36 - mmengine - INFO - Epoch(train) [52][360/3757] lr: 8.1466e-03 eta: 2 days, 4:57:46 time: 0.3912 data_time: 0.0147 memory: 17007 grad_norm: 5.9592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4060 loss: 2.4060 2022/07/27 14:35:44 - mmengine - INFO - Epoch(train) [52][380/3757] lr: 8.1466e-03 eta: 2 days, 4:57:38 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 5.9826 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0852 loss: 2.0852 2022/07/27 14:35:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:35:52 - mmengine - INFO - Epoch(train) [52][400/3757] lr: 8.1466e-03 eta: 2 days, 4:57:30 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 5.9494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2113 loss: 2.2113 2022/07/27 14:36:00 - mmengine - INFO - Epoch(train) [52][420/3757] lr: 8.1466e-03 eta: 2 days, 4:57:22 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 5.8970 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2598 loss: 2.2598 2022/07/27 14:36:08 - mmengine - INFO - Epoch(train) [52][440/3757] lr: 8.1466e-03 eta: 2 days, 4:57:14 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 5.8199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2221 loss: 2.2221 2022/07/27 14:36:16 - mmengine - INFO - Epoch(train) [52][460/3757] lr: 8.1466e-03 eta: 2 days, 4:57:06 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 5.8611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4559 loss: 2.4559 2022/07/27 14:36:24 - mmengine - INFO - Epoch(train) [52][480/3757] lr: 8.1466e-03 eta: 2 days, 4:56:59 time: 0.3963 data_time: 0.0174 memory: 17007 grad_norm: 6.0295 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3691 loss: 2.3691 2022/07/27 14:36:31 - mmengine - INFO - Epoch(train) [52][500/3757] lr: 8.1466e-03 eta: 2 days, 4:56:51 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 6.1973 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3406 loss: 2.3406 2022/07/27 14:36:39 - mmengine - INFO - Epoch(train) [52][520/3757] lr: 8.1466e-03 eta: 2 days, 4:56:43 time: 0.3964 data_time: 0.0165 memory: 17007 grad_norm: 5.9541 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5152 loss: 2.5152 2022/07/27 14:36:47 - mmengine - INFO - Epoch(train) [52][540/3757] lr: 8.1466e-03 eta: 2 days, 4:56:35 time: 0.3908 data_time: 0.0147 memory: 17007 grad_norm: 6.2445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5257 loss: 2.5257 2022/07/27 14:36:55 - mmengine - INFO - Epoch(train) [52][560/3757] lr: 8.1466e-03 eta: 2 days, 4:56:27 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 6.0716 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2424 loss: 2.2424 2022/07/27 14:37:03 - mmengine - INFO - Epoch(train) [52][580/3757] lr: 8.1466e-03 eta: 2 days, 4:56:19 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 6.2952 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4174 loss: 2.4174 2022/07/27 14:37:11 - mmengine - INFO - Epoch(train) [52][600/3757] lr: 8.1466e-03 eta: 2 days, 4:56:11 time: 0.3997 data_time: 0.0166 memory: 17007 grad_norm: 6.1362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2756 loss: 2.2756 2022/07/27 14:37:19 - mmengine - INFO - Epoch(train) [52][620/3757] lr: 8.1466e-03 eta: 2 days, 4:56:04 time: 0.3939 data_time: 0.0162 memory: 17007 grad_norm: 5.9853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3630 loss: 2.3630 2022/07/27 14:37:27 - mmengine - INFO - Epoch(train) [52][640/3757] lr: 8.1466e-03 eta: 2 days, 4:55:56 time: 0.3934 data_time: 0.0171 memory: 17007 grad_norm: 6.0202 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5646 loss: 2.5646 2022/07/27 14:37:35 - mmengine - INFO - Epoch(train) [52][660/3757] lr: 8.1466e-03 eta: 2 days, 4:55:48 time: 0.3962 data_time: 0.0139 memory: 17007 grad_norm: 6.0000 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2281 loss: 2.2281 2022/07/27 14:37:43 - mmengine - INFO - Epoch(train) [52][680/3757] lr: 8.1466e-03 eta: 2 days, 4:55:40 time: 0.3948 data_time: 0.0168 memory: 17007 grad_norm: 6.0750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1714 loss: 2.1714 2022/07/27 14:37:50 - mmengine - INFO - Epoch(train) [52][700/3757] lr: 8.1466e-03 eta: 2 days, 4:55:32 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 6.0425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4232 loss: 2.4232 2022/07/27 14:37:58 - mmengine - INFO - Epoch(train) [52][720/3757] lr: 8.1466e-03 eta: 2 days, 4:55:25 time: 0.3975 data_time: 0.0171 memory: 17007 grad_norm: 6.1056 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4663 loss: 2.4663 2022/07/27 14:38:06 - mmengine - INFO - Epoch(train) [52][740/3757] lr: 8.1466e-03 eta: 2 days, 4:55:17 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 5.9112 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4007 loss: 2.4007 2022/07/27 14:38:14 - mmengine - INFO - Epoch(train) [52][760/3757] lr: 8.1466e-03 eta: 2 days, 4:55:09 time: 0.3949 data_time: 0.0154 memory: 17007 grad_norm: 6.0823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4119 loss: 2.4119 2022/07/27 14:38:22 - mmengine - INFO - Epoch(train) [52][780/3757] lr: 8.1466e-03 eta: 2 days, 4:55:01 time: 0.3989 data_time: 0.0160 memory: 17007 grad_norm: 6.1637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4209 loss: 2.4209 2022/07/27 14:38:30 - mmengine - INFO - Epoch(train) [52][800/3757] lr: 8.1466e-03 eta: 2 days, 4:54:53 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 6.2002 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2257 loss: 2.2257 2022/07/27 14:38:38 - mmengine - INFO - Epoch(train) [52][820/3757] lr: 8.1466e-03 eta: 2 days, 4:54:45 time: 0.3922 data_time: 0.0138 memory: 17007 grad_norm: 5.9407 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2560 loss: 2.2560 2022/07/27 14:38:46 - mmengine - INFO - Epoch(train) [52][840/3757] lr: 8.1466e-03 eta: 2 days, 4:54:37 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 5.8426 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3483 loss: 2.3483 2022/07/27 14:38:54 - mmengine - INFO - Epoch(train) [52][860/3757] lr: 8.1466e-03 eta: 2 days, 4:54:30 time: 0.3952 data_time: 0.0159 memory: 17007 grad_norm: 5.9790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1576 loss: 2.1576 2022/07/27 14:39:02 - mmengine - INFO - Epoch(train) [52][880/3757] lr: 8.1466e-03 eta: 2 days, 4:54:22 time: 0.3995 data_time: 0.0153 memory: 17007 grad_norm: 6.1706 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3598 loss: 2.3598 2022/07/27 14:39:10 - mmengine - INFO - Epoch(train) [52][900/3757] lr: 8.1466e-03 eta: 2 days, 4:54:14 time: 0.3976 data_time: 0.0152 memory: 17007 grad_norm: 6.0897 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3361 loss: 2.3361 2022/07/27 14:39:17 - mmengine - INFO - Epoch(train) [52][920/3757] lr: 8.1466e-03 eta: 2 days, 4:54:07 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 6.1993 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3271 loss: 2.3271 2022/07/27 14:39:25 - mmengine - INFO - Epoch(train) [52][940/3757] lr: 8.1466e-03 eta: 2 days, 4:53:59 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 6.0598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4033 loss: 2.4033 2022/07/27 14:39:33 - mmengine - INFO - Epoch(train) [52][960/3757] lr: 8.1466e-03 eta: 2 days, 4:53:51 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 5.9753 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3118 loss: 2.3118 2022/07/27 14:39:41 - mmengine - INFO - Epoch(train) [52][980/3757] lr: 8.1466e-03 eta: 2 days, 4:53:43 time: 0.3950 data_time: 0.0174 memory: 17007 grad_norm: 5.9745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3049 loss: 2.3049 2022/07/27 14:39:49 - mmengine - INFO - Epoch(train) [52][1000/3757] lr: 8.1466e-03 eta: 2 days, 4:53:35 time: 0.3977 data_time: 0.0157 memory: 17007 grad_norm: 6.3065 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4318 loss: 2.4318 2022/07/27 14:39:57 - mmengine - INFO - Epoch(train) [52][1020/3757] lr: 8.1466e-03 eta: 2 days, 4:53:27 time: 0.3911 data_time: 0.0150 memory: 17007 grad_norm: 6.2588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6250 loss: 2.6250 2022/07/27 14:40:05 - mmengine - INFO - Epoch(train) [52][1040/3757] lr: 8.1466e-03 eta: 2 days, 4:53:19 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 6.1712 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4531 loss: 2.4531 2022/07/27 14:40:13 - mmengine - INFO - Epoch(train) [52][1060/3757] lr: 8.1466e-03 eta: 2 days, 4:53:11 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 6.1403 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4935 loss: 2.4935 2022/07/27 14:40:20 - mmengine - INFO - Epoch(train) [52][1080/3757] lr: 8.1466e-03 eta: 2 days, 4:53:04 time: 0.3946 data_time: 0.0176 memory: 17007 grad_norm: 6.0756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2942 loss: 2.2942 2022/07/27 14:40:28 - mmengine - INFO - Epoch(train) [52][1100/3757] lr: 8.1466e-03 eta: 2 days, 4:52:56 time: 0.3941 data_time: 0.0164 memory: 17007 grad_norm: 5.9833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1071 loss: 2.1071 2022/07/27 14:40:36 - mmengine - INFO - Epoch(train) [52][1120/3757] lr: 8.1466e-03 eta: 2 days, 4:52:48 time: 0.3932 data_time: 0.0163 memory: 17007 grad_norm: 6.1203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1056 loss: 2.1056 2022/07/27 14:40:44 - mmengine - INFO - Epoch(train) [52][1140/3757] lr: 8.1466e-03 eta: 2 days, 4:52:40 time: 0.3967 data_time: 0.0156 memory: 17007 grad_norm: 6.0250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2976 loss: 2.2976 2022/07/27 14:40:52 - mmengine - INFO - Epoch(train) [52][1160/3757] lr: 8.1466e-03 eta: 2 days, 4:52:32 time: 0.3947 data_time: 0.0164 memory: 17007 grad_norm: 5.9146 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4005 loss: 2.4005 2022/07/27 14:41:00 - mmengine - INFO - Epoch(train) [52][1180/3757] lr: 8.1466e-03 eta: 2 days, 4:52:24 time: 0.3917 data_time: 0.0150 memory: 17007 grad_norm: 5.8618 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3346 loss: 2.3346 2022/07/27 14:41:08 - mmengine - INFO - Epoch(train) [52][1200/3757] lr: 8.1466e-03 eta: 2 days, 4:52:16 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 6.0712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6733 loss: 2.6733 2022/07/27 14:41:16 - mmengine - INFO - Epoch(train) [52][1220/3757] lr: 8.1466e-03 eta: 2 days, 4:52:09 time: 0.3940 data_time: 0.0145 memory: 17007 grad_norm: 5.9630 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5816 loss: 2.5816 2022/07/27 14:41:24 - mmengine - INFO - Epoch(train) [52][1240/3757] lr: 8.1466e-03 eta: 2 days, 4:52:01 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 5.9152 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3016 loss: 2.3016 2022/07/27 14:41:31 - mmengine - INFO - Epoch(train) [52][1260/3757] lr: 8.1466e-03 eta: 2 days, 4:51:53 time: 0.3947 data_time: 0.0168 memory: 17007 grad_norm: 6.0343 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9886 loss: 1.9886 2022/07/27 14:41:39 - mmengine - INFO - Epoch(train) [52][1280/3757] lr: 8.1466e-03 eta: 2 days, 4:51:45 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 6.0413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1571 loss: 2.1571 2022/07/27 14:41:47 - mmengine - INFO - Epoch(train) [52][1300/3757] lr: 8.1466e-03 eta: 2 days, 4:51:37 time: 0.3934 data_time: 0.0150 memory: 17007 grad_norm: 5.9069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2441 loss: 2.2441 2022/07/27 14:41:55 - mmengine - INFO - Epoch(train) [52][1320/3757] lr: 8.1466e-03 eta: 2 days, 4:51:29 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 5.9419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4190 loss: 2.4190 2022/07/27 14:42:03 - mmengine - INFO - Epoch(train) [52][1340/3757] lr: 8.1466e-03 eta: 2 days, 4:51:22 time: 0.3998 data_time: 0.0152 memory: 17007 grad_norm: 6.0045 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7254 loss: 2.7254 2022/07/27 14:42:11 - mmengine - INFO - Epoch(train) [52][1360/3757] lr: 8.1466e-03 eta: 2 days, 4:51:14 time: 0.3997 data_time: 0.0170 memory: 17007 grad_norm: 6.6565 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2787 loss: 2.2787 2022/07/27 14:42:19 - mmengine - INFO - Epoch(train) [52][1380/3757] lr: 8.1466e-03 eta: 2 days, 4:51:06 time: 0.3979 data_time: 0.0152 memory: 17007 grad_norm: 6.4146 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2902 loss: 2.2902 2022/07/27 14:42:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:42:27 - mmengine - INFO - Epoch(train) [52][1400/3757] lr: 8.1466e-03 eta: 2 days, 4:50:59 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 6.2259 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4593 loss: 2.4593 2022/07/27 14:42:35 - mmengine - INFO - Epoch(train) [52][1420/3757] lr: 8.1466e-03 eta: 2 days, 4:50:51 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 6.1396 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2979 loss: 2.2979 2022/07/27 14:42:43 - mmengine - INFO - Epoch(train) [52][1440/3757] lr: 8.1466e-03 eta: 2 days, 4:50:43 time: 0.3979 data_time: 0.0146 memory: 17007 grad_norm: 6.0915 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3760 loss: 2.3760 2022/07/27 14:42:51 - mmengine - INFO - Epoch(train) [52][1460/3757] lr: 8.1466e-03 eta: 2 days, 4:50:35 time: 0.3963 data_time: 0.0166 memory: 17007 grad_norm: 5.8653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3289 loss: 2.3289 2022/07/27 14:42:59 - mmengine - INFO - Epoch(train) [52][1480/3757] lr: 8.1466e-03 eta: 2 days, 4:50:27 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 5.9979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7903 loss: 1.7903 2022/07/27 14:43:06 - mmengine - INFO - Epoch(train) [52][1500/3757] lr: 8.1466e-03 eta: 2 days, 4:50:19 time: 0.3929 data_time: 0.0149 memory: 17007 grad_norm: 5.8526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5641 loss: 2.5641 2022/07/27 14:43:14 - mmengine - INFO - Epoch(train) [52][1520/3757] lr: 8.1466e-03 eta: 2 days, 4:50:12 time: 0.3952 data_time: 0.0171 memory: 17007 grad_norm: 5.9986 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2889 loss: 2.2889 2022/07/27 14:43:22 - mmengine - INFO - Epoch(train) [52][1540/3757] lr: 8.1466e-03 eta: 2 days, 4:50:04 time: 0.3999 data_time: 0.0150 memory: 17007 grad_norm: 5.8968 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7507 loss: 2.7507 2022/07/27 14:43:30 - mmengine - INFO - Epoch(train) [52][1560/3757] lr: 8.1466e-03 eta: 2 days, 4:49:56 time: 0.3945 data_time: 0.0168 memory: 17007 grad_norm: 5.8836 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3471 loss: 2.3471 2022/07/27 14:43:38 - mmengine - INFO - Epoch(train) [52][1580/3757] lr: 8.1466e-03 eta: 2 days, 4:49:48 time: 0.3912 data_time: 0.0141 memory: 17007 grad_norm: 6.1041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4743 loss: 2.4743 2022/07/27 14:43:46 - mmengine - INFO - Epoch(train) [52][1600/3757] lr: 8.1466e-03 eta: 2 days, 4:49:40 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 6.0507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4932 loss: 2.4932 2022/07/27 14:43:54 - mmengine - INFO - Epoch(train) [52][1620/3757] lr: 8.1466e-03 eta: 2 days, 4:49:33 time: 0.3959 data_time: 0.0155 memory: 17007 grad_norm: 6.0255 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4844 loss: 2.4844 2022/07/27 14:44:02 - mmengine - INFO - Epoch(train) [52][1640/3757] lr: 8.1466e-03 eta: 2 days, 4:49:25 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 5.9091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0655 loss: 2.0655 2022/07/27 14:44:10 - mmengine - INFO - Epoch(train) [52][1660/3757] lr: 8.1466e-03 eta: 2 days, 4:49:17 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 6.0080 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3448 loss: 2.3448 2022/07/27 14:44:18 - mmengine - INFO - Epoch(train) [52][1680/3757] lr: 8.1466e-03 eta: 2 days, 4:49:09 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 5.9729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2742 loss: 2.2742 2022/07/27 14:44:26 - mmengine - INFO - Epoch(train) [52][1700/3757] lr: 8.1466e-03 eta: 2 days, 4:49:02 time: 0.4021 data_time: 0.0162 memory: 17007 grad_norm: 6.0754 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2401 loss: 2.2401 2022/07/27 14:44:34 - mmengine - INFO - Epoch(train) [52][1720/3757] lr: 8.1466e-03 eta: 2 days, 4:48:54 time: 0.3959 data_time: 0.0173 memory: 17007 grad_norm: 6.0164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2100 loss: 2.2100 2022/07/27 14:44:42 - mmengine - INFO - Epoch(train) [52][1740/3757] lr: 8.1466e-03 eta: 2 days, 4:48:47 time: 0.4064 data_time: 0.0159 memory: 17007 grad_norm: 6.1143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7360 loss: 2.7360 2022/07/27 14:44:50 - mmengine - INFO - Epoch(train) [52][1760/3757] lr: 8.1466e-03 eta: 2 days, 4:48:39 time: 0.3976 data_time: 0.0171 memory: 17007 grad_norm: 5.8704 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6397 loss: 2.6397 2022/07/27 14:44:57 - mmengine - INFO - Epoch(train) [52][1780/3757] lr: 8.1466e-03 eta: 2 days, 4:48:31 time: 0.3920 data_time: 0.0156 memory: 17007 grad_norm: 6.2412 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4129 loss: 2.4129 2022/07/27 14:45:06 - mmengine - INFO - Epoch(train) [52][1800/3757] lr: 8.1466e-03 eta: 2 days, 4:48:24 time: 0.4026 data_time: 0.0173 memory: 17007 grad_norm: 5.9512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7223 loss: 2.7223 2022/07/27 14:45:13 - mmengine - INFO - Epoch(train) [52][1820/3757] lr: 8.1466e-03 eta: 2 days, 4:48:16 time: 0.3919 data_time: 0.0146 memory: 17007 grad_norm: 6.0696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4014 loss: 2.4014 2022/07/27 14:45:21 - mmengine - INFO - Epoch(train) [52][1840/3757] lr: 8.1466e-03 eta: 2 days, 4:48:08 time: 0.3958 data_time: 0.0168 memory: 17007 grad_norm: 5.9842 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0893 loss: 2.0893 2022/07/27 14:45:29 - mmengine - INFO - Epoch(train) [52][1860/3757] lr: 8.1466e-03 eta: 2 days, 4:48:00 time: 0.3958 data_time: 0.0152 memory: 17007 grad_norm: 5.9305 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1093 loss: 2.1093 2022/07/27 14:45:37 - mmengine - INFO - Epoch(train) [52][1880/3757] lr: 8.1466e-03 eta: 2 days, 4:47:52 time: 0.3928 data_time: 0.0161 memory: 17007 grad_norm: 6.0898 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4866 loss: 2.4866 2022/07/27 14:45:45 - mmengine - INFO - Epoch(train) [52][1900/3757] lr: 8.1466e-03 eta: 2 days, 4:47:44 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 6.0179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1247 loss: 2.1247 2022/07/27 14:45:53 - mmengine - INFO - Epoch(train) [52][1920/3757] lr: 8.1466e-03 eta: 2 days, 4:47:36 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 6.1878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5321 loss: 2.5321 2022/07/27 14:46:01 - mmengine - INFO - Epoch(train) [52][1940/3757] lr: 8.1466e-03 eta: 2 days, 4:47:29 time: 0.3959 data_time: 0.0170 memory: 17007 grad_norm: 6.1130 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.4795 loss: 2.4795 2022/07/27 14:46:09 - mmengine - INFO - Epoch(train) [52][1960/3757] lr: 8.1466e-03 eta: 2 days, 4:47:21 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 6.2439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1885 loss: 2.1885 2022/07/27 14:46:17 - mmengine - INFO - Epoch(train) [52][1980/3757] lr: 8.1466e-03 eta: 2 days, 4:47:13 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 6.2144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5307 loss: 2.5307 2022/07/27 14:46:24 - mmengine - INFO - Epoch(train) [52][2000/3757] lr: 8.1466e-03 eta: 2 days, 4:47:05 time: 0.3952 data_time: 0.0161 memory: 17007 grad_norm: 5.9568 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1715 loss: 2.1715 2022/07/27 14:46:32 - mmengine - INFO - Epoch(train) [52][2020/3757] lr: 8.1466e-03 eta: 2 days, 4:46:57 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 5.8321 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3955 loss: 2.3955 2022/07/27 14:46:40 - mmengine - INFO - Epoch(train) [52][2040/3757] lr: 8.1466e-03 eta: 2 days, 4:46:49 time: 0.3948 data_time: 0.0165 memory: 17007 grad_norm: 6.0478 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7675 loss: 2.7675 2022/07/27 14:46:48 - mmengine - INFO - Epoch(train) [52][2060/3757] lr: 8.1466e-03 eta: 2 days, 4:46:41 time: 0.3920 data_time: 0.0147 memory: 17007 grad_norm: 6.0018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2970 loss: 2.2970 2022/07/27 14:46:56 - mmengine - INFO - Epoch(train) [52][2080/3757] lr: 8.1466e-03 eta: 2 days, 4:46:34 time: 0.3991 data_time: 0.0171 memory: 17007 grad_norm: 6.1568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0640 loss: 2.0640 2022/07/27 14:47:04 - mmengine - INFO - Epoch(train) [52][2100/3757] lr: 8.1466e-03 eta: 2 days, 4:46:26 time: 0.3964 data_time: 0.0172 memory: 17007 grad_norm: 6.2345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5194 loss: 2.5194 2022/07/27 14:47:12 - mmengine - INFO - Epoch(train) [52][2120/3757] lr: 8.1466e-03 eta: 2 days, 4:46:18 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 6.0747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1642 loss: 2.1642 2022/07/27 14:47:20 - mmengine - INFO - Epoch(train) [52][2140/3757] lr: 8.1466e-03 eta: 2 days, 4:46:11 time: 0.3967 data_time: 0.0179 memory: 17007 grad_norm: 6.0777 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.5229 loss: 2.5229 2022/07/27 14:47:28 - mmengine - INFO - Epoch(train) [52][2160/3757] lr: 8.1466e-03 eta: 2 days, 4:46:03 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 6.1457 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3339 loss: 2.3339 2022/07/27 14:47:36 - mmengine - INFO - Epoch(train) [52][2180/3757] lr: 8.1466e-03 eta: 2 days, 4:45:55 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 6.1877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4715 loss: 2.4715 2022/07/27 14:47:43 - mmengine - INFO - Epoch(train) [52][2200/3757] lr: 8.1466e-03 eta: 2 days, 4:45:47 time: 0.3948 data_time: 0.0165 memory: 17007 grad_norm: 5.9951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4945 loss: 2.4945 2022/07/27 14:47:51 - mmengine - INFO - Epoch(train) [52][2220/3757] lr: 8.1466e-03 eta: 2 days, 4:45:39 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 5.9746 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4907 loss: 2.4907 2022/07/27 14:47:59 - mmengine - INFO - Epoch(train) [52][2240/3757] lr: 8.1466e-03 eta: 2 days, 4:45:32 time: 0.4031 data_time: 0.0161 memory: 17007 grad_norm: 6.0455 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7845 loss: 2.7845 2022/07/27 14:48:07 - mmengine - INFO - Epoch(train) [52][2260/3757] lr: 8.1466e-03 eta: 2 days, 4:45:24 time: 0.3920 data_time: 0.0137 memory: 17007 grad_norm: 5.9943 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2215 loss: 2.2215 2022/07/27 14:48:15 - mmengine - INFO - Epoch(train) [52][2280/3757] lr: 8.1466e-03 eta: 2 days, 4:45:16 time: 0.3946 data_time: 0.0159 memory: 17007 grad_norm: 6.0306 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2187 loss: 2.2187 2022/07/27 14:48:23 - mmengine - INFO - Epoch(train) [52][2300/3757] lr: 8.1466e-03 eta: 2 days, 4:45:08 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 5.9251 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2180 loss: 2.2180 2022/07/27 14:48:31 - mmengine - INFO - Epoch(train) [52][2320/3757] lr: 8.1466e-03 eta: 2 days, 4:45:00 time: 0.3949 data_time: 0.0169 memory: 17007 grad_norm: 6.1055 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3423 loss: 2.3423 2022/07/27 14:48:39 - mmengine - INFO - Epoch(train) [52][2340/3757] lr: 8.1466e-03 eta: 2 days, 4:44:53 time: 0.3962 data_time: 0.0162 memory: 17007 grad_norm: 6.1154 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4370 loss: 2.4370 2022/07/27 14:48:47 - mmengine - INFO - Epoch(train) [52][2360/3757] lr: 8.1466e-03 eta: 2 days, 4:44:45 time: 0.3929 data_time: 0.0160 memory: 17007 grad_norm: 6.2122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3847 loss: 2.3847 2022/07/27 14:48:55 - mmengine - INFO - Epoch(train) [52][2380/3757] lr: 8.1466e-03 eta: 2 days, 4:44:37 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 6.0910 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4000 loss: 2.4000 2022/07/27 14:49:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:49:03 - mmengine - INFO - Epoch(train) [52][2400/3757] lr: 8.1466e-03 eta: 2 days, 4:44:29 time: 0.3961 data_time: 0.0164 memory: 17007 grad_norm: 5.9222 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3533 loss: 2.3533 2022/07/27 14:49:10 - mmengine - INFO - Epoch(train) [52][2420/3757] lr: 8.1466e-03 eta: 2 days, 4:44:21 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 5.9999 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4237 loss: 2.4237 2022/07/27 14:49:18 - mmengine - INFO - Epoch(train) [52][2440/3757] lr: 8.1466e-03 eta: 2 days, 4:44:13 time: 0.3924 data_time: 0.0161 memory: 17007 grad_norm: 5.9245 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3957 loss: 2.3957 2022/07/27 14:49:26 - mmengine - INFO - Epoch(train) [52][2460/3757] lr: 8.1466e-03 eta: 2 days, 4:44:05 time: 0.3965 data_time: 0.0144 memory: 17007 grad_norm: 5.9896 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4785 loss: 2.4785 2022/07/27 14:49:34 - mmengine - INFO - Epoch(train) [52][2480/3757] lr: 8.1466e-03 eta: 2 days, 4:43:58 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 6.0496 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.3078 loss: 2.3078 2022/07/27 14:49:42 - mmengine - INFO - Epoch(train) [52][2500/3757] lr: 8.1466e-03 eta: 2 days, 4:43:50 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 5.6506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2001 loss: 2.2001 2022/07/27 14:49:50 - mmengine - INFO - Epoch(train) [52][2520/3757] lr: 8.1466e-03 eta: 2 days, 4:43:42 time: 0.3972 data_time: 0.0175 memory: 17007 grad_norm: 5.8131 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2462 loss: 2.2462 2022/07/27 14:49:58 - mmengine - INFO - Epoch(train) [52][2540/3757] lr: 8.1466e-03 eta: 2 days, 4:43:34 time: 0.3908 data_time: 0.0154 memory: 17007 grad_norm: 5.9409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5599 loss: 2.5599 2022/07/27 14:50:06 - mmengine - INFO - Epoch(train) [52][2560/3757] lr: 8.1466e-03 eta: 2 days, 4:43:26 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 7.0335 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4881 loss: 2.4881 2022/07/27 14:50:14 - mmengine - INFO - Epoch(train) [52][2580/3757] lr: 8.1466e-03 eta: 2 days, 4:43:18 time: 0.3973 data_time: 0.0154 memory: 17007 grad_norm: 6.0942 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3488 loss: 2.3488 2022/07/27 14:50:22 - mmengine - INFO - Epoch(train) [52][2600/3757] lr: 8.1466e-03 eta: 2 days, 4:43:11 time: 0.3973 data_time: 0.0166 memory: 17007 grad_norm: 5.8163 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2703 loss: 2.2703 2022/07/27 14:50:29 - mmengine - INFO - Epoch(train) [52][2620/3757] lr: 8.1466e-03 eta: 2 days, 4:43:03 time: 0.3945 data_time: 0.0149 memory: 17007 grad_norm: 6.0428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1088 loss: 2.1088 2022/07/27 14:50:37 - mmengine - INFO - Epoch(train) [52][2640/3757] lr: 8.1466e-03 eta: 2 days, 4:42:55 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 5.9959 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5096 loss: 2.5096 2022/07/27 14:50:45 - mmengine - INFO - Epoch(train) [52][2660/3757] lr: 8.1466e-03 eta: 2 days, 4:42:47 time: 0.4001 data_time: 0.0168 memory: 17007 grad_norm: 6.1843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4610 loss: 2.4610 2022/07/27 14:50:53 - mmengine - INFO - Epoch(train) [52][2680/3757] lr: 8.1466e-03 eta: 2 days, 4:42:39 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 6.3406 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3297 loss: 2.3297 2022/07/27 14:51:01 - mmengine - INFO - Epoch(train) [52][2700/3757] lr: 8.1466e-03 eta: 2 days, 4:42:32 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 5.9187 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1573 loss: 2.1573 2022/07/27 14:51:09 - mmengine - INFO - Epoch(train) [52][2720/3757] lr: 8.1466e-03 eta: 2 days, 4:42:24 time: 0.3992 data_time: 0.0153 memory: 17007 grad_norm: 6.2269 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2372 loss: 2.2372 2022/07/27 14:51:17 - mmengine - INFO - Epoch(train) [52][2740/3757] lr: 8.1466e-03 eta: 2 days, 4:42:16 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 5.9012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4372 loss: 2.4372 2022/07/27 14:51:25 - mmengine - INFO - Epoch(train) [52][2760/3757] lr: 8.1466e-03 eta: 2 days, 4:42:08 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 6.0914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4956 loss: 2.4956 2022/07/27 14:51:33 - mmengine - INFO - Epoch(train) [52][2780/3757] lr: 8.1466e-03 eta: 2 days, 4:42:01 time: 0.4072 data_time: 0.0143 memory: 17007 grad_norm: 5.9386 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3439 loss: 2.3439 2022/07/27 14:51:41 - mmengine - INFO - Epoch(train) [52][2800/3757] lr: 8.1466e-03 eta: 2 days, 4:41:53 time: 0.3955 data_time: 0.0168 memory: 17007 grad_norm: 6.1282 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.1198 loss: 2.1198 2022/07/27 14:51:49 - mmengine - INFO - Epoch(train) [52][2820/3757] lr: 8.1466e-03 eta: 2 days, 4:41:45 time: 0.3947 data_time: 0.0131 memory: 17007 grad_norm: 5.9946 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8686 loss: 2.8686 2022/07/27 14:51:57 - mmengine - INFO - Epoch(train) [52][2840/3757] lr: 8.1466e-03 eta: 2 days, 4:41:38 time: 0.3959 data_time: 0.0166 memory: 17007 grad_norm: 6.1820 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4141 loss: 2.4141 2022/07/27 14:52:05 - mmengine - INFO - Epoch(train) [52][2860/3757] lr: 8.1466e-03 eta: 2 days, 4:41:30 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 5.9188 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.4676 loss: 2.4676 2022/07/27 14:52:12 - mmengine - INFO - Epoch(train) [52][2880/3757] lr: 8.1466e-03 eta: 2 days, 4:41:22 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 6.1441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2330 loss: 2.2330 2022/07/27 14:52:20 - mmengine - INFO - Epoch(train) [52][2900/3757] lr: 8.1466e-03 eta: 2 days, 4:41:14 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 6.1540 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3790 loss: 2.3790 2022/07/27 14:52:28 - mmengine - INFO - Epoch(train) [52][2920/3757] lr: 8.1466e-03 eta: 2 days, 4:41:06 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 6.1178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2587 loss: 2.2587 2022/07/27 14:52:36 - mmengine - INFO - Epoch(train) [52][2940/3757] lr: 8.1466e-03 eta: 2 days, 4:40:58 time: 0.3936 data_time: 0.0168 memory: 17007 grad_norm: 5.9903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3302 loss: 2.3302 2022/07/27 14:52:44 - mmengine - INFO - Epoch(train) [52][2960/3757] lr: 8.1466e-03 eta: 2 days, 4:40:50 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 5.8786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1925 loss: 2.1925 2022/07/27 14:52:52 - mmengine - INFO - Epoch(train) [52][2980/3757] lr: 8.1466e-03 eta: 2 days, 4:40:43 time: 0.3951 data_time: 0.0165 memory: 17007 grad_norm: 6.1718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7326 loss: 2.7326 2022/07/27 14:53:00 - mmengine - INFO - Epoch(train) [52][3000/3757] lr: 8.1466e-03 eta: 2 days, 4:40:35 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 6.0424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3004 loss: 2.3004 2022/07/27 14:53:08 - mmengine - INFO - Epoch(train) [52][3020/3757] lr: 8.1466e-03 eta: 2 days, 4:40:27 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 6.0551 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3405 loss: 2.3405 2022/07/27 14:53:15 - mmengine - INFO - Epoch(train) [52][3040/3757] lr: 8.1466e-03 eta: 2 days, 4:40:19 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.1074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1726 loss: 2.1726 2022/07/27 14:53:23 - mmengine - INFO - Epoch(train) [52][3060/3757] lr: 8.1466e-03 eta: 2 days, 4:40:11 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 5.8013 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2595 loss: 2.2595 2022/07/27 14:53:31 - mmengine - INFO - Epoch(train) [52][3080/3757] lr: 8.1466e-03 eta: 2 days, 4:40:03 time: 0.3938 data_time: 0.0162 memory: 17007 grad_norm: 6.0791 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2913 loss: 2.2913 2022/07/27 14:53:39 - mmengine - INFO - Epoch(train) [52][3100/3757] lr: 8.1466e-03 eta: 2 days, 4:39:55 time: 0.3963 data_time: 0.0159 memory: 17007 grad_norm: 5.8880 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3365 loss: 2.3365 2022/07/27 14:53:47 - mmengine - INFO - Epoch(train) [52][3120/3757] lr: 8.1466e-03 eta: 2 days, 4:39:47 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 6.0141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5760 loss: 2.5760 2022/07/27 14:53:55 - mmengine - INFO - Epoch(train) [52][3140/3757] lr: 8.1466e-03 eta: 2 days, 4:39:40 time: 0.4018 data_time: 0.0156 memory: 17007 grad_norm: 5.9340 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4050 loss: 2.4050 2022/07/27 14:54:03 - mmengine - INFO - Epoch(train) [52][3160/3757] lr: 8.1466e-03 eta: 2 days, 4:39:32 time: 0.3953 data_time: 0.0159 memory: 17007 grad_norm: 6.1010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1017 loss: 2.1017 2022/07/27 14:54:11 - mmengine - INFO - Epoch(train) [52][3180/3757] lr: 8.1466e-03 eta: 2 days, 4:39:24 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 6.2094 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7751 loss: 2.7751 2022/07/27 14:54:19 - mmengine - INFO - Epoch(train) [52][3200/3757] lr: 8.1466e-03 eta: 2 days, 4:39:16 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 5.9034 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6095 loss: 2.6095 2022/07/27 14:54:27 - mmengine - INFO - Epoch(train) [52][3220/3757] lr: 8.1466e-03 eta: 2 days, 4:39:08 time: 0.3936 data_time: 0.0166 memory: 17007 grad_norm: 5.9354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6664 loss: 2.6664 2022/07/27 14:54:34 - mmengine - INFO - Epoch(train) [52][3240/3757] lr: 8.1466e-03 eta: 2 days, 4:39:01 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 6.1950 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5169 loss: 2.5169 2022/07/27 14:54:42 - mmengine - INFO - Epoch(train) [52][3260/3757] lr: 8.1466e-03 eta: 2 days, 4:38:53 time: 0.3934 data_time: 0.0164 memory: 17007 grad_norm: 5.9722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2034 loss: 2.2034 2022/07/27 14:54:50 - mmengine - INFO - Epoch(train) [52][3280/3757] lr: 8.1466e-03 eta: 2 days, 4:38:45 time: 0.3963 data_time: 0.0152 memory: 17007 grad_norm: 5.9716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5716 loss: 2.5716 2022/07/27 14:54:58 - mmengine - INFO - Epoch(train) [52][3300/3757] lr: 8.1466e-03 eta: 2 days, 4:38:37 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 6.5116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5566 loss: 2.5566 2022/07/27 14:55:06 - mmengine - INFO - Epoch(train) [52][3320/3757] lr: 8.1466e-03 eta: 2 days, 4:38:29 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 6.1962 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4456 loss: 2.4456 2022/07/27 14:55:14 - mmengine - INFO - Epoch(train) [52][3340/3757] lr: 8.1466e-03 eta: 2 days, 4:38:22 time: 0.4059 data_time: 0.0152 memory: 17007 grad_norm: 6.2169 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3219 loss: 2.3219 2022/07/27 14:55:22 - mmengine - INFO - Epoch(train) [52][3360/3757] lr: 8.1466e-03 eta: 2 days, 4:38:14 time: 0.3930 data_time: 0.0164 memory: 17007 grad_norm: 6.0550 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4462 loss: 2.4462 2022/07/27 14:55:30 - mmengine - INFO - Epoch(train) [52][3380/3757] lr: 8.1466e-03 eta: 2 days, 4:38:06 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 6.3102 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4268 loss: 2.4268 2022/07/27 14:55:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:55:38 - mmengine - INFO - Epoch(train) [52][3400/3757] lr: 8.1466e-03 eta: 2 days, 4:37:58 time: 0.3919 data_time: 0.0155 memory: 17007 grad_norm: 6.1857 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3420 loss: 2.3420 2022/07/27 14:55:46 - mmengine - INFO - Epoch(train) [52][3420/3757] lr: 8.1466e-03 eta: 2 days, 4:37:50 time: 0.3975 data_time: 0.0162 memory: 17007 grad_norm: 5.8938 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3032 loss: 2.3032 2022/07/27 14:55:54 - mmengine - INFO - Epoch(train) [52][3440/3757] lr: 8.1466e-03 eta: 2 days, 4:37:43 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 6.0402 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2057 loss: 2.2057 2022/07/27 14:56:01 - mmengine - INFO - Epoch(train) [52][3460/3757] lr: 8.1466e-03 eta: 2 days, 4:37:35 time: 0.3943 data_time: 0.0165 memory: 17007 grad_norm: 5.8394 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4847 loss: 2.4847 2022/07/27 14:56:09 - mmengine - INFO - Epoch(train) [52][3480/3757] lr: 8.1466e-03 eta: 2 days, 4:37:27 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 5.8890 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2453 loss: 2.2453 2022/07/27 14:56:17 - mmengine - INFO - Epoch(train) [52][3500/3757] lr: 8.1466e-03 eta: 2 days, 4:37:19 time: 0.3918 data_time: 0.0146 memory: 17007 grad_norm: 6.0513 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5212 loss: 2.5212 2022/07/27 14:56:25 - mmengine - INFO - Epoch(train) [52][3520/3757] lr: 8.1466e-03 eta: 2 days, 4:37:11 time: 0.3963 data_time: 0.0167 memory: 17007 grad_norm: 5.9087 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4429 loss: 2.4429 2022/07/27 14:56:33 - mmengine - INFO - Epoch(train) [52][3540/3757] lr: 8.1466e-03 eta: 2 days, 4:37:04 time: 0.3990 data_time: 0.0166 memory: 17007 grad_norm: 6.2550 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6214 loss: 2.6214 2022/07/27 14:56:41 - mmengine - INFO - Epoch(train) [52][3560/3757] lr: 8.1466e-03 eta: 2 days, 4:36:56 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 5.9914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4092 loss: 2.4092 2022/07/27 14:56:49 - mmengine - INFO - Epoch(train) [52][3580/3757] lr: 8.1466e-03 eta: 2 days, 4:36:48 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.6071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2068 loss: 2.2068 2022/07/27 14:56:57 - mmengine - INFO - Epoch(train) [52][3600/3757] lr: 8.1466e-03 eta: 2 days, 4:36:40 time: 0.3998 data_time: 0.0173 memory: 17007 grad_norm: 6.0236 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4855 loss: 2.4855 2022/07/27 14:57:05 - mmengine - INFO - Epoch(train) [52][3620/3757] lr: 8.1466e-03 eta: 2 days, 4:36:32 time: 0.3922 data_time: 0.0144 memory: 17007 grad_norm: 5.8873 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5148 loss: 2.5148 2022/07/27 14:57:13 - mmengine - INFO - Epoch(train) [52][3640/3757] lr: 8.1466e-03 eta: 2 days, 4:36:24 time: 0.3947 data_time: 0.0156 memory: 17007 grad_norm: 5.9448 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4723 loss: 2.4723 2022/07/27 14:57:20 - mmengine - INFO - Epoch(train) [52][3660/3757] lr: 8.1466e-03 eta: 2 days, 4:36:16 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 6.1487 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4243 loss: 2.4243 2022/07/27 14:57:28 - mmengine - INFO - Epoch(train) [52][3680/3757] lr: 8.1466e-03 eta: 2 days, 4:36:09 time: 0.3938 data_time: 0.0168 memory: 17007 grad_norm: 5.9141 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6907 loss: 2.6907 2022/07/27 14:57:36 - mmengine - INFO - Epoch(train) [52][3700/3757] lr: 8.1466e-03 eta: 2 days, 4:36:01 time: 0.3966 data_time: 0.0153 memory: 17007 grad_norm: 6.1179 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2402 loss: 2.2402 2022/07/27 14:57:44 - mmengine - INFO - Epoch(train) [52][3720/3757] lr: 8.1466e-03 eta: 2 days, 4:35:53 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 5.9918 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0834 loss: 2.0834 2022/07/27 14:57:52 - mmengine - INFO - Epoch(train) [52][3740/3757] lr: 8.1466e-03 eta: 2 days, 4:35:45 time: 0.3966 data_time: 0.0164 memory: 17007 grad_norm: 6.2415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4627 loss: 2.4627 2022/07/27 14:57:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 14:57:59 - mmengine - INFO - Epoch(train) [52][3757/3757] lr: 8.1466e-03 eta: 2 days, 4:35:45 time: 0.3880 data_time: 0.0157 memory: 17007 grad_norm: 6.1399 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.4305 loss: 2.4305 2022/07/27 14:57:59 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/07/27 14:58:11 - mmengine - INFO - Epoch(train) [53][20/3757] lr: 8.0783e-03 eta: 2 days, 4:35:19 time: 0.4834 data_time: 0.1067 memory: 17007 grad_norm: 5.8187 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0843 loss: 2.0843 2022/07/27 14:58:19 - mmengine - INFO - Epoch(train) [53][40/3757] lr: 8.0783e-03 eta: 2 days, 4:35:11 time: 0.3942 data_time: 0.0167 memory: 17007 grad_norm: 5.9804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2467 loss: 2.2467 2022/07/27 14:58:27 - mmengine - INFO - Epoch(train) [53][60/3757] lr: 8.0783e-03 eta: 2 days, 4:35:03 time: 0.4010 data_time: 0.0144 memory: 17007 grad_norm: 6.1593 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2599 loss: 2.2599 2022/07/27 14:58:35 - mmengine - INFO - Epoch(train) [53][80/3757] lr: 8.0783e-03 eta: 2 days, 4:34:55 time: 0.3980 data_time: 0.0168 memory: 17007 grad_norm: 6.0717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3531 loss: 2.3531 2022/07/27 14:58:43 - mmengine - INFO - Epoch(train) [53][100/3757] lr: 8.0783e-03 eta: 2 days, 4:34:48 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 6.0252 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5915 loss: 2.5915 2022/07/27 14:58:51 - mmengine - INFO - Epoch(train) [53][120/3757] lr: 8.0783e-03 eta: 2 days, 4:34:40 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.1426 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1868 loss: 2.1868 2022/07/27 14:58:58 - mmengine - INFO - Epoch(train) [53][140/3757] lr: 8.0783e-03 eta: 2 days, 4:34:32 time: 0.3916 data_time: 0.0140 memory: 17007 grad_norm: 6.0555 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0140 loss: 2.0140 2022/07/27 14:59:06 - mmengine - INFO - Epoch(train) [53][160/3757] lr: 8.0783e-03 eta: 2 days, 4:34:24 time: 0.3949 data_time: 0.0162 memory: 17007 grad_norm: 5.8145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3760 loss: 2.3760 2022/07/27 14:59:14 - mmengine - INFO - Epoch(train) [53][180/3757] lr: 8.0783e-03 eta: 2 days, 4:34:16 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 5.8146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2230 loss: 2.2230 2022/07/27 14:59:22 - mmengine - INFO - Epoch(train) [53][200/3757] lr: 8.0783e-03 eta: 2 days, 4:34:08 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 6.0991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1763 loss: 2.1763 2022/07/27 14:59:30 - mmengine - INFO - Epoch(train) [53][220/3757] lr: 8.0783e-03 eta: 2 days, 4:34:00 time: 0.3929 data_time: 0.0140 memory: 17007 grad_norm: 6.0911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5016 loss: 2.5016 2022/07/27 14:59:38 - mmengine - INFO - Epoch(train) [53][240/3757] lr: 8.0783e-03 eta: 2 days, 4:33:52 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 6.0155 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0358 loss: 2.0358 2022/07/27 14:59:46 - mmengine - INFO - Epoch(train) [53][260/3757] lr: 8.0783e-03 eta: 2 days, 4:33:44 time: 0.3927 data_time: 0.0141 memory: 17007 grad_norm: 6.2147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3040 loss: 2.3040 2022/07/27 14:59:54 - mmengine - INFO - Epoch(train) [53][280/3757] lr: 8.0783e-03 eta: 2 days, 4:33:37 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 6.1028 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2652 loss: 2.2652 2022/07/27 15:00:01 - mmengine - INFO - Epoch(train) [53][300/3757] lr: 8.0783e-03 eta: 2 days, 4:33:29 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 5.8739 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6195 loss: 2.6195 2022/07/27 15:00:09 - mmengine - INFO - Epoch(train) [53][320/3757] lr: 8.0783e-03 eta: 2 days, 4:33:21 time: 0.3925 data_time: 0.0155 memory: 17007 grad_norm: 5.9597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0184 loss: 2.0184 2022/07/27 15:00:17 - mmengine - INFO - Epoch(train) [53][340/3757] lr: 8.0783e-03 eta: 2 days, 4:33:13 time: 0.3920 data_time: 0.0143 memory: 17007 grad_norm: 6.2224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3504 loss: 2.3504 2022/07/27 15:00:25 - mmengine - INFO - Epoch(train) [53][360/3757] lr: 8.0783e-03 eta: 2 days, 4:33:05 time: 0.3951 data_time: 0.0174 memory: 17007 grad_norm: 6.1224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1959 loss: 2.1959 2022/07/27 15:00:33 - mmengine - INFO - Epoch(train) [53][380/3757] lr: 8.0783e-03 eta: 2 days, 4:32:57 time: 0.3921 data_time: 0.0140 memory: 17007 grad_norm: 6.0207 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5119 loss: 2.5119 2022/07/27 15:00:41 - mmengine - INFO - Epoch(train) [53][400/3757] lr: 8.0783e-03 eta: 2 days, 4:32:49 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 5.9833 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4191 loss: 2.4191 2022/07/27 15:00:49 - mmengine - INFO - Epoch(train) [53][420/3757] lr: 8.0783e-03 eta: 2 days, 4:32:41 time: 0.3922 data_time: 0.0138 memory: 17007 grad_norm: 5.8586 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1494 loss: 2.1494 2022/07/27 15:00:56 - mmengine - INFO - Epoch(train) [53][440/3757] lr: 8.0783e-03 eta: 2 days, 4:32:33 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 5.8708 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2408 loss: 2.2408 2022/07/27 15:01:04 - mmengine - INFO - Epoch(train) [53][460/3757] lr: 8.0783e-03 eta: 2 days, 4:32:25 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 5.9714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9400 loss: 1.9400 2022/07/27 15:01:12 - mmengine - INFO - Epoch(train) [53][480/3757] lr: 8.0783e-03 eta: 2 days, 4:32:18 time: 0.3974 data_time: 0.0165 memory: 17007 grad_norm: 5.7552 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3325 loss: 2.3325 2022/07/27 15:01:20 - mmengine - INFO - Epoch(train) [53][500/3757] lr: 8.0783e-03 eta: 2 days, 4:32:10 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 5.9113 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1099 loss: 2.1099 2022/07/27 15:01:28 - mmengine - INFO - Epoch(train) [53][520/3757] lr: 8.0783e-03 eta: 2 days, 4:32:02 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 6.1152 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4083 loss: 2.4083 2022/07/27 15:01:36 - mmengine - INFO - Epoch(train) [53][540/3757] lr: 8.0783e-03 eta: 2 days, 4:31:54 time: 0.3931 data_time: 0.0135 memory: 17007 grad_norm: 6.4734 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9034 loss: 1.9034 2022/07/27 15:01:44 - mmengine - INFO - Epoch(train) [53][560/3757] lr: 8.0783e-03 eta: 2 days, 4:31:46 time: 0.3936 data_time: 0.0165 memory: 17007 grad_norm: 5.9375 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2553 loss: 2.2553 2022/07/27 15:01:52 - mmengine - INFO - Epoch(train) [53][580/3757] lr: 8.0783e-03 eta: 2 days, 4:31:39 time: 0.3988 data_time: 0.0154 memory: 17007 grad_norm: 6.2334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5641 loss: 2.5641 2022/07/27 15:02:00 - mmengine - INFO - Epoch(train) [53][600/3757] lr: 8.0783e-03 eta: 2 days, 4:31:31 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 5.9104 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2944 loss: 2.2944 2022/07/27 15:02:07 - mmengine - INFO - Epoch(train) [53][620/3757] lr: 8.0783e-03 eta: 2 days, 4:31:23 time: 0.3913 data_time: 0.0135 memory: 17007 grad_norm: 6.0344 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4775 loss: 2.4775 2022/07/27 15:02:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:02:15 - mmengine - INFO - Epoch(train) [53][640/3757] lr: 8.0783e-03 eta: 2 days, 4:31:15 time: 0.3941 data_time: 0.0155 memory: 17007 grad_norm: 6.2640 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3710 loss: 2.3710 2022/07/27 15:02:23 - mmengine - INFO - Epoch(train) [53][660/3757] lr: 8.0783e-03 eta: 2 days, 4:31:07 time: 0.3999 data_time: 0.0132 memory: 17007 grad_norm: 6.0077 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3571 loss: 2.3571 2022/07/27 15:02:31 - mmengine - INFO - Epoch(train) [53][680/3757] lr: 8.0783e-03 eta: 2 days, 4:30:59 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 5.9651 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3216 loss: 2.3216 2022/07/27 15:02:39 - mmengine - INFO - Epoch(train) [53][700/3757] lr: 8.0783e-03 eta: 2 days, 4:30:51 time: 0.3906 data_time: 0.0142 memory: 17007 grad_norm: 6.0466 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1402 loss: 2.1402 2022/07/27 15:02:47 - mmengine - INFO - Epoch(train) [53][720/3757] lr: 8.0783e-03 eta: 2 days, 4:30:44 time: 0.3969 data_time: 0.0157 memory: 17007 grad_norm: 5.9967 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2575 loss: 2.2575 2022/07/27 15:02:55 - mmengine - INFO - Epoch(train) [53][740/3757] lr: 8.0783e-03 eta: 2 days, 4:30:36 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 6.0879 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6775 loss: 2.6775 2022/07/27 15:03:03 - mmengine - INFO - Epoch(train) [53][760/3757] lr: 8.0783e-03 eta: 2 days, 4:30:28 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 6.1515 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3705 loss: 2.3705 2022/07/27 15:03:11 - mmengine - INFO - Epoch(train) [53][780/3757] lr: 8.0783e-03 eta: 2 days, 4:30:20 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 6.0823 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5549 loss: 2.5549 2022/07/27 15:03:18 - mmengine - INFO - Epoch(train) [53][800/3757] lr: 8.0783e-03 eta: 2 days, 4:30:12 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 6.1626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1993 loss: 2.1993 2022/07/27 15:03:26 - mmengine - INFO - Epoch(train) [53][820/3757] lr: 8.0783e-03 eta: 2 days, 4:30:04 time: 0.3919 data_time: 0.0141 memory: 17007 grad_norm: 5.9297 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4622 loss: 2.4622 2022/07/27 15:03:34 - mmengine - INFO - Epoch(train) [53][840/3757] lr: 8.0783e-03 eta: 2 days, 4:29:56 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 5.9923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4091 loss: 2.4091 2022/07/27 15:03:42 - mmengine - INFO - Epoch(train) [53][860/3757] lr: 8.0783e-03 eta: 2 days, 4:29:48 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 6.2102 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3321 loss: 2.3321 2022/07/27 15:03:50 - mmengine - INFO - Epoch(train) [53][880/3757] lr: 8.0783e-03 eta: 2 days, 4:29:40 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 6.1202 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3180 loss: 2.3180 2022/07/27 15:03:58 - mmengine - INFO - Epoch(train) [53][900/3757] lr: 8.0783e-03 eta: 2 days, 4:29:32 time: 0.3928 data_time: 0.0133 memory: 17007 grad_norm: 6.2305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1420 loss: 2.1420 2022/07/27 15:04:06 - mmengine - INFO - Epoch(train) [53][920/3757] lr: 8.0783e-03 eta: 2 days, 4:29:25 time: 0.4019 data_time: 0.0169 memory: 17007 grad_norm: 6.3133 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1989 loss: 2.1989 2022/07/27 15:04:14 - mmengine - INFO - Epoch(train) [53][940/3757] lr: 8.0783e-03 eta: 2 days, 4:29:17 time: 0.3923 data_time: 0.0146 memory: 17007 grad_norm: 6.1280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7942 loss: 2.7942 2022/07/27 15:04:22 - mmengine - INFO - Epoch(train) [53][960/3757] lr: 8.0783e-03 eta: 2 days, 4:29:09 time: 0.3969 data_time: 0.0165 memory: 17007 grad_norm: 6.3999 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3901 loss: 2.3901 2022/07/27 15:04:29 - mmengine - INFO - Epoch(train) [53][980/3757] lr: 8.0783e-03 eta: 2 days, 4:29:01 time: 0.3912 data_time: 0.0133 memory: 17007 grad_norm: 6.0608 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1726 loss: 2.1726 2022/07/27 15:04:37 - mmengine - INFO - Epoch(train) [53][1000/3757] lr: 8.0783e-03 eta: 2 days, 4:28:53 time: 0.3919 data_time: 0.0163 memory: 17007 grad_norm: 6.1395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1225 loss: 2.1225 2022/07/27 15:04:45 - mmengine - INFO - Epoch(train) [53][1020/3757] lr: 8.0783e-03 eta: 2 days, 4:28:46 time: 0.3983 data_time: 0.0145 memory: 17007 grad_norm: 6.2517 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3665 loss: 2.3665 2022/07/27 15:04:53 - mmengine - INFO - Epoch(train) [53][1040/3757] lr: 8.0783e-03 eta: 2 days, 4:28:38 time: 0.3932 data_time: 0.0165 memory: 17007 grad_norm: 6.2079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5464 loss: 2.5464 2022/07/27 15:05:01 - mmengine - INFO - Epoch(train) [53][1060/3757] lr: 8.0783e-03 eta: 2 days, 4:28:30 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.9102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1420 loss: 2.1420 2022/07/27 15:05:09 - mmengine - INFO - Epoch(train) [53][1080/3757] lr: 8.0783e-03 eta: 2 days, 4:28:22 time: 0.3948 data_time: 0.0176 memory: 17007 grad_norm: 6.3269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2704 loss: 2.2704 2022/07/27 15:05:17 - mmengine - INFO - Epoch(train) [53][1100/3757] lr: 8.0783e-03 eta: 2 days, 4:28:14 time: 0.3919 data_time: 0.0130 memory: 17007 grad_norm: 6.2714 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6855 loss: 2.6855 2022/07/27 15:05:25 - mmengine - INFO - Epoch(train) [53][1120/3757] lr: 8.0783e-03 eta: 2 days, 4:28:07 time: 0.3987 data_time: 0.0166 memory: 17007 grad_norm: 6.0272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1666 loss: 2.1666 2022/07/27 15:05:33 - mmengine - INFO - Epoch(train) [53][1140/3757] lr: 8.0783e-03 eta: 2 days, 4:27:59 time: 0.3917 data_time: 0.0147 memory: 17007 grad_norm: 6.2936 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2755 loss: 2.2755 2022/07/27 15:05:40 - mmengine - INFO - Epoch(train) [53][1160/3757] lr: 8.0783e-03 eta: 2 days, 4:27:51 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 6.1771 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4384 loss: 2.4384 2022/07/27 15:05:48 - mmengine - INFO - Epoch(train) [53][1180/3757] lr: 8.0783e-03 eta: 2 days, 4:27:43 time: 0.3932 data_time: 0.0134 memory: 17007 grad_norm: 6.1321 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1585 loss: 2.1585 2022/07/27 15:05:56 - mmengine - INFO - Epoch(train) [53][1200/3757] lr: 8.0783e-03 eta: 2 days, 4:27:35 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 6.1725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4121 loss: 2.4121 2022/07/27 15:06:04 - mmengine - INFO - Epoch(train) [53][1220/3757] lr: 8.0783e-03 eta: 2 days, 4:27:27 time: 0.3958 data_time: 0.0165 memory: 17007 grad_norm: 6.0769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2027 loss: 2.2027 2022/07/27 15:06:12 - mmengine - INFO - Epoch(train) [53][1240/3757] lr: 8.0783e-03 eta: 2 days, 4:27:19 time: 0.3948 data_time: 0.0172 memory: 17007 grad_norm: 5.8877 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4498 loss: 2.4498 2022/07/27 15:06:20 - mmengine - INFO - Epoch(train) [53][1260/3757] lr: 8.0783e-03 eta: 2 days, 4:27:11 time: 0.3914 data_time: 0.0143 memory: 17007 grad_norm: 6.1856 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7750 loss: 2.7750 2022/07/27 15:06:28 - mmengine - INFO - Epoch(train) [53][1280/3757] lr: 8.0783e-03 eta: 2 days, 4:27:03 time: 0.3951 data_time: 0.0161 memory: 17007 grad_norm: 6.4236 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4241 loss: 2.4241 2022/07/27 15:06:36 - mmengine - INFO - Epoch(train) [53][1300/3757] lr: 8.0783e-03 eta: 2 days, 4:26:55 time: 0.3921 data_time: 0.0139 memory: 17007 grad_norm: 5.9572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1120 loss: 2.1120 2022/07/27 15:06:44 - mmengine - INFO - Epoch(train) [53][1320/3757] lr: 8.0783e-03 eta: 2 days, 4:26:48 time: 0.3971 data_time: 0.0190 memory: 17007 grad_norm: 5.7217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3433 loss: 2.3433 2022/07/27 15:06:51 - mmengine - INFO - Epoch(train) [53][1340/3757] lr: 8.0783e-03 eta: 2 days, 4:26:40 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 6.0519 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2991 loss: 2.2991 2022/07/27 15:06:59 - mmengine - INFO - Epoch(train) [53][1360/3757] lr: 8.0783e-03 eta: 2 days, 4:26:32 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 5.9192 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1731 loss: 2.1731 2022/07/27 15:07:07 - mmengine - INFO - Epoch(train) [53][1380/3757] lr: 8.0783e-03 eta: 2 days, 4:26:24 time: 0.3972 data_time: 0.0168 memory: 17007 grad_norm: 6.0458 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6480 loss: 2.6480 2022/07/27 15:07:15 - mmengine - INFO - Epoch(train) [53][1400/3757] lr: 8.0783e-03 eta: 2 days, 4:26:16 time: 0.3952 data_time: 0.0159 memory: 17007 grad_norm: 6.0261 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3895 loss: 2.3895 2022/07/27 15:07:23 - mmengine - INFO - Epoch(train) [53][1420/3757] lr: 8.0783e-03 eta: 2 days, 4:26:09 time: 0.3986 data_time: 0.0166 memory: 17007 grad_norm: 6.0773 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2386 loss: 2.2386 2022/07/27 15:07:31 - mmengine - INFO - Epoch(train) [53][1440/3757] lr: 8.0783e-03 eta: 2 days, 4:26:01 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 5.9526 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5565 loss: 2.5565 2022/07/27 15:07:39 - mmengine - INFO - Epoch(train) [53][1460/3757] lr: 8.0783e-03 eta: 2 days, 4:25:53 time: 0.3913 data_time: 0.0156 memory: 17007 grad_norm: 5.9304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6659 loss: 2.6659 2022/07/27 15:07:47 - mmengine - INFO - Epoch(train) [53][1480/3757] lr: 8.0783e-03 eta: 2 days, 4:25:45 time: 0.3969 data_time: 0.0175 memory: 17007 grad_norm: 5.7178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1348 loss: 2.1348 2022/07/27 15:07:55 - mmengine - INFO - Epoch(train) [53][1500/3757] lr: 8.0783e-03 eta: 2 days, 4:25:37 time: 0.3926 data_time: 0.0144 memory: 17007 grad_norm: 6.0392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0074 loss: 2.0074 2022/07/27 15:08:03 - mmengine - INFO - Epoch(train) [53][1520/3757] lr: 8.0783e-03 eta: 2 days, 4:25:30 time: 0.3976 data_time: 0.0177 memory: 17007 grad_norm: 6.0479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0824 loss: 2.0824 2022/07/27 15:08:10 - mmengine - INFO - Epoch(train) [53][1540/3757] lr: 8.0783e-03 eta: 2 days, 4:25:22 time: 0.3918 data_time: 0.0152 memory: 17007 grad_norm: 5.9347 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5231 loss: 2.5231 2022/07/27 15:08:18 - mmengine - INFO - Epoch(train) [53][1560/3757] lr: 8.0783e-03 eta: 2 days, 4:25:14 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 6.1092 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3964 loss: 2.3964 2022/07/27 15:08:26 - mmengine - INFO - Epoch(train) [53][1580/3757] lr: 8.0783e-03 eta: 2 days, 4:25:06 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 6.0523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4384 loss: 2.4384 2022/07/27 15:08:34 - mmengine - INFO - Epoch(train) [53][1600/3757] lr: 8.0783e-03 eta: 2 days, 4:24:58 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 6.1135 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7462 loss: 2.7462 2022/07/27 15:08:42 - mmengine - INFO - Epoch(train) [53][1620/3757] lr: 8.0783e-03 eta: 2 days, 4:24:50 time: 0.3935 data_time: 0.0163 memory: 17007 grad_norm: 5.9776 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4079 loss: 2.4079 2022/07/27 15:08:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:08:50 - mmengine - INFO - Epoch(train) [53][1640/3757] lr: 8.0783e-03 eta: 2 days, 4:24:42 time: 0.3931 data_time: 0.0164 memory: 17007 grad_norm: 5.7683 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9953 loss: 1.9953 2022/07/27 15:08:58 - mmengine - INFO - Epoch(train) [53][1660/3757] lr: 8.0783e-03 eta: 2 days, 4:24:34 time: 0.3921 data_time: 0.0145 memory: 17007 grad_norm: 5.7758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6368 loss: 2.6368 2022/07/27 15:09:05 - mmengine - INFO - Epoch(train) [53][1680/3757] lr: 8.0783e-03 eta: 2 days, 4:24:26 time: 0.3937 data_time: 0.0162 memory: 17007 grad_norm: 5.9073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3242 loss: 2.3242 2022/07/27 15:09:13 - mmengine - INFO - Epoch(train) [53][1700/3757] lr: 8.0783e-03 eta: 2 days, 4:24:19 time: 0.3934 data_time: 0.0147 memory: 17007 grad_norm: 6.1037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6014 loss: 2.6014 2022/07/27 15:09:22 - mmengine - INFO - Epoch(train) [53][1720/3757] lr: 8.0783e-03 eta: 2 days, 4:24:11 time: 0.4080 data_time: 0.0165 memory: 17007 grad_norm: 6.0075 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3463 loss: 2.3463 2022/07/27 15:09:29 - mmengine - INFO - Epoch(train) [53][1740/3757] lr: 8.0783e-03 eta: 2 days, 4:24:03 time: 0.3911 data_time: 0.0146 memory: 17007 grad_norm: 5.9695 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1619 loss: 2.1619 2022/07/27 15:09:37 - mmengine - INFO - Epoch(train) [53][1760/3757] lr: 8.0783e-03 eta: 2 days, 4:23:56 time: 0.3943 data_time: 0.0161 memory: 17007 grad_norm: 6.0466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6373 loss: 2.6373 2022/07/27 15:09:45 - mmengine - INFO - Epoch(train) [53][1780/3757] lr: 8.0783e-03 eta: 2 days, 4:23:48 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 6.0660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2818 loss: 2.2818 2022/07/27 15:09:53 - mmengine - INFO - Epoch(train) [53][1800/3757] lr: 8.0783e-03 eta: 2 days, 4:23:40 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 6.2884 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2452 loss: 2.2452 2022/07/27 15:10:01 - mmengine - INFO - Epoch(train) [53][1820/3757] lr: 8.0783e-03 eta: 2 days, 4:23:32 time: 0.3930 data_time: 0.0141 memory: 17007 grad_norm: 5.9977 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3964 loss: 2.3964 2022/07/27 15:10:09 - mmengine - INFO - Epoch(train) [53][1840/3757] lr: 8.0783e-03 eta: 2 days, 4:23:24 time: 0.3945 data_time: 0.0174 memory: 17007 grad_norm: 6.0489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4612 loss: 2.4612 2022/07/27 15:10:17 - mmengine - INFO - Epoch(train) [53][1860/3757] lr: 8.0783e-03 eta: 2 days, 4:23:16 time: 0.3924 data_time: 0.0137 memory: 17007 grad_norm: 6.3928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2666 loss: 2.2666 2022/07/27 15:10:25 - mmengine - INFO - Epoch(train) [53][1880/3757] lr: 8.0783e-03 eta: 2 days, 4:23:09 time: 0.4020 data_time: 0.0179 memory: 17007 grad_norm: 6.2322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4867 loss: 2.4867 2022/07/27 15:10:33 - mmengine - INFO - Epoch(train) [53][1900/3757] lr: 8.0783e-03 eta: 2 days, 4:23:01 time: 0.3931 data_time: 0.0137 memory: 17007 grad_norm: 6.0704 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4538 loss: 2.4538 2022/07/27 15:10:40 - mmengine - INFO - Epoch(train) [53][1920/3757] lr: 8.0783e-03 eta: 2 days, 4:22:53 time: 0.3951 data_time: 0.0159 memory: 17007 grad_norm: 5.8558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5554 loss: 2.5554 2022/07/27 15:10:48 - mmengine - INFO - Epoch(train) [53][1940/3757] lr: 8.0783e-03 eta: 2 days, 4:22:45 time: 0.3933 data_time: 0.0140 memory: 17007 grad_norm: 6.2151 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3633 loss: 2.3633 2022/07/27 15:10:56 - mmengine - INFO - Epoch(train) [53][1960/3757] lr: 8.0783e-03 eta: 2 days, 4:22:37 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 6.3943 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4549 loss: 2.4549 2022/07/27 15:11:04 - mmengine - INFO - Epoch(train) [53][1980/3757] lr: 8.0783e-03 eta: 2 days, 4:22:29 time: 0.3922 data_time: 0.0141 memory: 17007 grad_norm: 5.9902 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2898 loss: 2.2898 2022/07/27 15:11:12 - mmengine - INFO - Epoch(train) [53][2000/3757] lr: 8.0783e-03 eta: 2 days, 4:22:21 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 6.0973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4205 loss: 2.4205 2022/07/27 15:11:20 - mmengine - INFO - Epoch(train) [53][2020/3757] lr: 8.0783e-03 eta: 2 days, 4:22:13 time: 0.3917 data_time: 0.0133 memory: 17007 grad_norm: 5.9229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6795 loss: 2.6795 2022/07/27 15:11:28 - mmengine - INFO - Epoch(train) [53][2040/3757] lr: 8.0783e-03 eta: 2 days, 4:22:06 time: 0.3969 data_time: 0.0165 memory: 17007 grad_norm: 6.0464 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2933 loss: 2.2933 2022/07/27 15:11:36 - mmengine - INFO - Epoch(train) [53][2060/3757] lr: 8.0783e-03 eta: 2 days, 4:21:58 time: 0.3958 data_time: 0.0129 memory: 17007 grad_norm: 5.9774 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2765 loss: 2.2765 2022/07/27 15:11:44 - mmengine - INFO - Epoch(train) [53][2080/3757] lr: 8.0783e-03 eta: 2 days, 4:21:50 time: 0.3981 data_time: 0.0169 memory: 17007 grad_norm: 6.0657 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6034 loss: 2.6034 2022/07/27 15:11:52 - mmengine - INFO - Epoch(train) [53][2100/3757] lr: 8.0783e-03 eta: 2 days, 4:21:42 time: 0.3960 data_time: 0.0151 memory: 17007 grad_norm: 5.8894 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3633 loss: 2.3633 2022/07/27 15:11:59 - mmengine - INFO - Epoch(train) [53][2120/3757] lr: 8.0783e-03 eta: 2 days, 4:21:35 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 5.9721 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8814 loss: 1.8814 2022/07/27 15:12:07 - mmengine - INFO - Epoch(train) [53][2140/3757] lr: 8.0783e-03 eta: 2 days, 4:21:27 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 5.9570 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4940 loss: 2.4940 2022/07/27 15:12:15 - mmengine - INFO - Epoch(train) [53][2160/3757] lr: 8.0783e-03 eta: 2 days, 4:21:19 time: 0.3986 data_time: 0.0158 memory: 17007 grad_norm: 6.3800 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4377 loss: 2.4377 2022/07/27 15:12:23 - mmengine - INFO - Epoch(train) [53][2180/3757] lr: 8.0783e-03 eta: 2 days, 4:21:11 time: 0.3936 data_time: 0.0139 memory: 17007 grad_norm: 5.8916 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3510 loss: 2.3510 2022/07/27 15:12:31 - mmengine - INFO - Epoch(train) [53][2200/3757] lr: 8.0783e-03 eta: 2 days, 4:21:04 time: 0.4038 data_time: 0.0155 memory: 17007 grad_norm: 6.3115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4118 loss: 2.4118 2022/07/27 15:12:39 - mmengine - INFO - Epoch(train) [53][2220/3757] lr: 8.0783e-03 eta: 2 days, 4:20:56 time: 0.3931 data_time: 0.0130 memory: 17007 grad_norm: 6.1182 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0251 loss: 2.0251 2022/07/27 15:12:47 - mmengine - INFO - Epoch(train) [53][2240/3757] lr: 8.0783e-03 eta: 2 days, 4:20:48 time: 0.3937 data_time: 0.0168 memory: 17007 grad_norm: 6.1138 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1580 loss: 2.1580 2022/07/27 15:12:55 - mmengine - INFO - Epoch(train) [53][2260/3757] lr: 8.0783e-03 eta: 2 days, 4:20:40 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 5.9729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1622 loss: 2.1622 2022/07/27 15:13:03 - mmengine - INFO - Epoch(train) [53][2280/3757] lr: 8.0783e-03 eta: 2 days, 4:20:32 time: 0.3930 data_time: 0.0164 memory: 17007 grad_norm: 6.0005 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0751 loss: 2.0751 2022/07/27 15:13:11 - mmengine - INFO - Epoch(train) [53][2300/3757] lr: 8.0783e-03 eta: 2 days, 4:20:24 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 6.2288 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4730 loss: 2.4730 2022/07/27 15:13:18 - mmengine - INFO - Epoch(train) [53][2320/3757] lr: 8.0783e-03 eta: 2 days, 4:20:16 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 6.2150 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3256 loss: 2.3256 2022/07/27 15:13:26 - mmengine - INFO - Epoch(train) [53][2340/3757] lr: 8.0783e-03 eta: 2 days, 4:20:08 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 6.1525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4167 loss: 2.4167 2022/07/27 15:13:34 - mmengine - INFO - Epoch(train) [53][2360/3757] lr: 8.0783e-03 eta: 2 days, 4:20:01 time: 0.3953 data_time: 0.0157 memory: 17007 grad_norm: 6.0632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4425 loss: 2.4425 2022/07/27 15:13:42 - mmengine - INFO - Epoch(train) [53][2380/3757] lr: 8.0783e-03 eta: 2 days, 4:19:53 time: 0.3976 data_time: 0.0140 memory: 17007 grad_norm: 6.2264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6175 loss: 2.6175 2022/07/27 15:13:50 - mmengine - INFO - Epoch(train) [53][2400/3757] lr: 8.0783e-03 eta: 2 days, 4:19:45 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 6.0502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5621 loss: 2.5621 2022/07/27 15:13:58 - mmengine - INFO - Epoch(train) [53][2420/3757] lr: 8.0783e-03 eta: 2 days, 4:19:37 time: 0.3921 data_time: 0.0142 memory: 17007 grad_norm: 6.3285 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2866 loss: 2.2866 2022/07/27 15:14:06 - mmengine - INFO - Epoch(train) [53][2440/3757] lr: 8.0783e-03 eta: 2 days, 4:19:29 time: 0.3952 data_time: 0.0171 memory: 17007 grad_norm: 6.0423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4907 loss: 2.4907 2022/07/27 15:14:14 - mmengine - INFO - Epoch(train) [53][2460/3757] lr: 8.0783e-03 eta: 2 days, 4:19:21 time: 0.3938 data_time: 0.0143 memory: 17007 grad_norm: 6.0518 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.4059 loss: 2.4059 2022/07/27 15:14:22 - mmengine - INFO - Epoch(train) [53][2480/3757] lr: 8.0783e-03 eta: 2 days, 4:19:14 time: 0.4050 data_time: 0.0153 memory: 17007 grad_norm: 6.2003 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2892 loss: 2.2892 2022/07/27 15:14:30 - mmengine - INFO - Epoch(train) [53][2500/3757] lr: 8.0783e-03 eta: 2 days, 4:19:06 time: 0.3921 data_time: 0.0154 memory: 17007 grad_norm: 6.0232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3397 loss: 2.3397 2022/07/27 15:14:37 - mmengine - INFO - Epoch(train) [53][2520/3757] lr: 8.0783e-03 eta: 2 days, 4:18:58 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 6.0512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3302 loss: 2.3302 2022/07/27 15:14:46 - mmengine - INFO - Epoch(train) [53][2540/3757] lr: 8.0783e-03 eta: 2 days, 4:18:51 time: 0.4102 data_time: 0.0171 memory: 17007 grad_norm: 6.0409 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1066 loss: 2.1066 2022/07/27 15:14:54 - mmengine - INFO - Epoch(train) [53][2560/3757] lr: 8.0783e-03 eta: 2 days, 4:18:43 time: 0.3956 data_time: 0.0158 memory: 17007 grad_norm: 6.2188 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1696 loss: 2.1696 2022/07/27 15:15:02 - mmengine - INFO - Epoch(train) [53][2580/3757] lr: 8.0783e-03 eta: 2 days, 4:18:36 time: 0.3946 data_time: 0.0142 memory: 17007 grad_norm: 6.0583 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4830 loss: 2.4830 2022/07/27 15:15:09 - mmengine - INFO - Epoch(train) [53][2600/3757] lr: 8.0783e-03 eta: 2 days, 4:18:28 time: 0.3952 data_time: 0.0180 memory: 17007 grad_norm: 6.2874 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2393 loss: 2.2393 2022/07/27 15:15:17 - mmengine - INFO - Epoch(train) [53][2620/3757] lr: 8.0783e-03 eta: 2 days, 4:18:20 time: 0.3945 data_time: 0.0150 memory: 17007 grad_norm: 6.0800 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3911 loss: 2.3911 2022/07/27 15:15:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:15:25 - mmengine - INFO - Epoch(train) [53][2640/3757] lr: 8.0783e-03 eta: 2 days, 4:18:13 time: 0.4054 data_time: 0.0159 memory: 17007 grad_norm: 5.9815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2938 loss: 2.2938 2022/07/27 15:15:33 - mmengine - INFO - Epoch(train) [53][2660/3757] lr: 8.0783e-03 eta: 2 days, 4:18:05 time: 0.3922 data_time: 0.0147 memory: 17007 grad_norm: 5.9092 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2448 loss: 2.2448 2022/07/27 15:15:41 - mmengine - INFO - Epoch(train) [53][2680/3757] lr: 8.0783e-03 eta: 2 days, 4:17:57 time: 0.3938 data_time: 0.0167 memory: 17007 grad_norm: 6.1713 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9395 loss: 2.9395 2022/07/27 15:15:49 - mmengine - INFO - Epoch(train) [53][2700/3757] lr: 8.0783e-03 eta: 2 days, 4:17:50 time: 0.4124 data_time: 0.0136 memory: 17007 grad_norm: 5.9718 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1216 loss: 2.1216 2022/07/27 15:15:57 - mmengine - INFO - Epoch(train) [53][2720/3757] lr: 8.0783e-03 eta: 2 days, 4:17:42 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 6.0566 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3873 loss: 2.3873 2022/07/27 15:16:05 - mmengine - INFO - Epoch(train) [53][2740/3757] lr: 8.0783e-03 eta: 2 days, 4:17:34 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.0663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0663 loss: 2.0663 2022/07/27 15:16:13 - mmengine - INFO - Epoch(train) [53][2760/3757] lr: 8.0783e-03 eta: 2 days, 4:17:26 time: 0.3940 data_time: 0.0167 memory: 17007 grad_norm: 6.3144 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3364 loss: 2.3364 2022/07/27 15:16:21 - mmengine - INFO - Epoch(train) [53][2780/3757] lr: 8.0783e-03 eta: 2 days, 4:17:18 time: 0.3905 data_time: 0.0127 memory: 17007 grad_norm: 6.0489 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4199 loss: 2.4199 2022/07/27 15:16:29 - mmengine - INFO - Epoch(train) [53][2800/3757] lr: 8.0783e-03 eta: 2 days, 4:17:10 time: 0.3942 data_time: 0.0159 memory: 17007 grad_norm: 6.9895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1781 loss: 2.1781 2022/07/27 15:16:37 - mmengine - INFO - Epoch(train) [53][2820/3757] lr: 8.0783e-03 eta: 2 days, 4:17:02 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 6.1604 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5116 loss: 2.5116 2022/07/27 15:16:45 - mmengine - INFO - Epoch(train) [53][2840/3757] lr: 8.0783e-03 eta: 2 days, 4:16:55 time: 0.4045 data_time: 0.0160 memory: 17007 grad_norm: 6.4468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2666 loss: 2.2666 2022/07/27 15:16:53 - mmengine - INFO - Epoch(train) [53][2860/3757] lr: 8.0783e-03 eta: 2 days, 4:16:47 time: 0.3946 data_time: 0.0148 memory: 17007 grad_norm: 6.2271 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2350 loss: 2.2350 2022/07/27 15:17:00 - mmengine - INFO - Epoch(train) [53][2880/3757] lr: 8.0783e-03 eta: 2 days, 4:16:39 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 6.0449 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3757 loss: 2.3757 2022/07/27 15:17:09 - mmengine - INFO - Epoch(train) [53][2900/3757] lr: 8.0783e-03 eta: 2 days, 4:16:32 time: 0.4107 data_time: 0.0148 memory: 17007 grad_norm: 5.8993 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0106 loss: 2.0106 2022/07/27 15:17:17 - mmengine - INFO - Epoch(train) [53][2920/3757] lr: 8.0783e-03 eta: 2 days, 4:16:24 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 6.0156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1340 loss: 2.1340 2022/07/27 15:17:25 - mmengine - INFO - Epoch(train) [53][2940/3757] lr: 8.0783e-03 eta: 2 days, 4:16:17 time: 0.4069 data_time: 0.0165 memory: 17007 grad_norm: 5.9860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3229 loss: 2.3229 2022/07/27 15:17:33 - mmengine - INFO - Epoch(train) [53][2960/3757] lr: 8.0783e-03 eta: 2 days, 4:16:09 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 6.1984 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5912 loss: 2.5912 2022/07/27 15:17:40 - mmengine - INFO - Epoch(train) [53][2980/3757] lr: 8.0783e-03 eta: 2 days, 4:16:01 time: 0.3912 data_time: 0.0139 memory: 17007 grad_norm: 6.0919 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3830 loss: 2.3830 2022/07/27 15:17:49 - mmengine - INFO - Epoch(train) [53][3000/3757] lr: 8.0783e-03 eta: 2 days, 4:15:54 time: 0.4050 data_time: 0.0165 memory: 17007 grad_norm: 6.0488 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4824 loss: 2.4824 2022/07/27 15:17:56 - mmengine - INFO - Epoch(train) [53][3020/3757] lr: 8.0783e-03 eta: 2 days, 4:15:46 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 5.7045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3913 loss: 2.3913 2022/07/27 15:18:04 - mmengine - INFO - Epoch(train) [53][3040/3757] lr: 8.0783e-03 eta: 2 days, 4:15:38 time: 0.3964 data_time: 0.0162 memory: 17007 grad_norm: 6.0581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1521 loss: 2.1521 2022/07/27 15:18:12 - mmengine - INFO - Epoch(train) [53][3060/3757] lr: 8.0783e-03 eta: 2 days, 4:15:30 time: 0.3919 data_time: 0.0127 memory: 17007 grad_norm: 6.1155 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2412 loss: 2.2412 2022/07/27 15:18:20 - mmengine - INFO - Epoch(train) [53][3080/3757] lr: 8.0783e-03 eta: 2 days, 4:15:22 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 6.1259 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5259 loss: 2.5259 2022/07/27 15:18:28 - mmengine - INFO - Epoch(train) [53][3100/3757] lr: 8.0783e-03 eta: 2 days, 4:15:14 time: 0.3936 data_time: 0.0142 memory: 17007 grad_norm: 6.0398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4404 loss: 2.4404 2022/07/27 15:18:36 - mmengine - INFO - Epoch(train) [53][3120/3757] lr: 8.0783e-03 eta: 2 days, 4:15:07 time: 0.3977 data_time: 0.0159 memory: 17007 grad_norm: 5.8471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4850 loss: 2.4850 2022/07/27 15:18:44 - mmengine - INFO - Epoch(train) [53][3140/3757] lr: 8.0783e-03 eta: 2 days, 4:14:59 time: 0.3955 data_time: 0.0155 memory: 17007 grad_norm: 6.1085 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4824 loss: 2.4824 2022/07/27 15:18:52 - mmengine - INFO - Epoch(train) [53][3160/3757] lr: 8.0783e-03 eta: 2 days, 4:14:51 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 6.1637 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3663 loss: 2.3663 2022/07/27 15:18:59 - mmengine - INFO - Epoch(train) [53][3180/3757] lr: 8.0783e-03 eta: 2 days, 4:14:43 time: 0.3912 data_time: 0.0147 memory: 17007 grad_norm: 6.1804 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4953 loss: 2.4953 2022/07/27 15:19:07 - mmengine - INFO - Epoch(train) [53][3200/3757] lr: 8.0783e-03 eta: 2 days, 4:14:35 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 5.9340 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3132 loss: 2.3132 2022/07/27 15:19:15 - mmengine - INFO - Epoch(train) [53][3220/3757] lr: 8.0783e-03 eta: 2 days, 4:14:27 time: 0.3920 data_time: 0.0136 memory: 17007 grad_norm: 6.0643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1938 loss: 2.1938 2022/07/27 15:19:23 - mmengine - INFO - Epoch(train) [53][3240/3757] lr: 8.0783e-03 eta: 2 days, 4:14:20 time: 0.3944 data_time: 0.0163 memory: 17007 grad_norm: 6.0417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1199 loss: 2.1199 2022/07/27 15:19:31 - mmengine - INFO - Epoch(train) [53][3260/3757] lr: 8.0783e-03 eta: 2 days, 4:14:12 time: 0.3923 data_time: 0.0139 memory: 17007 grad_norm: 5.8888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3751 loss: 2.3751 2022/07/27 15:19:39 - mmengine - INFO - Epoch(train) [53][3280/3757] lr: 8.0783e-03 eta: 2 days, 4:14:04 time: 0.3943 data_time: 0.0162 memory: 17007 grad_norm: 6.0994 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2155 loss: 2.2155 2022/07/27 15:19:47 - mmengine - INFO - Epoch(train) [53][3300/3757] lr: 8.0783e-03 eta: 2 days, 4:13:56 time: 0.3986 data_time: 0.0161 memory: 17007 grad_norm: 5.9311 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3812 loss: 2.3812 2022/07/27 15:19:55 - mmengine - INFO - Epoch(train) [53][3320/3757] lr: 8.0783e-03 eta: 2 days, 4:13:48 time: 0.3936 data_time: 0.0161 memory: 17007 grad_norm: 6.0624 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0655 loss: 2.0655 2022/07/27 15:20:03 - mmengine - INFO - Epoch(train) [53][3340/3757] lr: 8.0783e-03 eta: 2 days, 4:13:40 time: 0.3943 data_time: 0.0156 memory: 17007 grad_norm: 6.1063 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6933 loss: 2.6933 2022/07/27 15:20:11 - mmengine - INFO - Epoch(train) [53][3360/3757] lr: 8.0783e-03 eta: 2 days, 4:13:33 time: 0.3959 data_time: 0.0172 memory: 17007 grad_norm: 6.0838 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0951 loss: 2.0951 2022/07/27 15:20:18 - mmengine - INFO - Epoch(train) [53][3380/3757] lr: 8.0783e-03 eta: 2 days, 4:13:25 time: 0.3930 data_time: 0.0132 memory: 17007 grad_norm: 6.1782 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4077 loss: 2.4077 2022/07/27 15:20:26 - mmengine - INFO - Epoch(train) [53][3400/3757] lr: 8.0783e-03 eta: 2 days, 4:13:17 time: 0.3968 data_time: 0.0172 memory: 17007 grad_norm: 6.3304 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5163 loss: 2.5163 2022/07/27 15:20:34 - mmengine - INFO - Epoch(train) [53][3420/3757] lr: 8.0783e-03 eta: 2 days, 4:13:09 time: 0.3917 data_time: 0.0157 memory: 17007 grad_norm: 6.3472 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7272 loss: 2.7272 2022/07/27 15:20:42 - mmengine - INFO - Epoch(train) [53][3440/3757] lr: 8.0783e-03 eta: 2 days, 4:13:01 time: 0.3963 data_time: 0.0165 memory: 17007 grad_norm: 6.3112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5905 loss: 2.5905 2022/07/27 15:20:50 - mmengine - INFO - Epoch(train) [53][3460/3757] lr: 8.0783e-03 eta: 2 days, 4:12:53 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 5.7777 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2491 loss: 2.2491 2022/07/27 15:20:58 - mmengine - INFO - Epoch(train) [53][3480/3757] lr: 8.0783e-03 eta: 2 days, 4:12:46 time: 0.4007 data_time: 0.0155 memory: 17007 grad_norm: 5.8987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4157 loss: 2.4157 2022/07/27 15:21:06 - mmengine - INFO - Epoch(train) [53][3500/3757] lr: 8.0783e-03 eta: 2 days, 4:12:38 time: 0.3982 data_time: 0.0160 memory: 17007 grad_norm: 5.9673 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2594 loss: 2.2594 2022/07/27 15:21:14 - mmengine - INFO - Epoch(train) [53][3520/3757] lr: 8.0783e-03 eta: 2 days, 4:12:30 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 6.0293 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3616 loss: 2.3616 2022/07/27 15:21:22 - mmengine - INFO - Epoch(train) [53][3540/3757] lr: 8.0783e-03 eta: 2 days, 4:12:22 time: 0.3928 data_time: 0.0138 memory: 17007 grad_norm: 6.0569 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1456 loss: 2.1456 2022/07/27 15:21:30 - mmengine - INFO - Epoch(train) [53][3560/3757] lr: 8.0783e-03 eta: 2 days, 4:12:15 time: 0.3986 data_time: 0.0162 memory: 17007 grad_norm: 5.9949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0622 loss: 2.0622 2022/07/27 15:21:37 - mmengine - INFO - Epoch(train) [53][3580/3757] lr: 8.0783e-03 eta: 2 days, 4:12:07 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 5.8583 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6263 loss: 2.6263 2022/07/27 15:21:46 - mmengine - INFO - Epoch(train) [53][3600/3757] lr: 8.0783e-03 eta: 2 days, 4:11:59 time: 0.4079 data_time: 0.0168 memory: 17007 grad_norm: 6.1452 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1824 loss: 2.1824 2022/07/27 15:21:54 - mmengine - INFO - Epoch(train) [53][3620/3757] lr: 8.0783e-03 eta: 2 days, 4:11:52 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.1317 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1760 loss: 2.1760 2022/07/27 15:22:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:22:01 - mmengine - INFO - Epoch(train) [53][3640/3757] lr: 8.0783e-03 eta: 2 days, 4:11:44 time: 0.3919 data_time: 0.0154 memory: 17007 grad_norm: 6.2863 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5648 loss: 2.5648 2022/07/27 15:22:09 - mmengine - INFO - Epoch(train) [53][3660/3757] lr: 8.0783e-03 eta: 2 days, 4:11:36 time: 0.3957 data_time: 0.0146 memory: 17007 grad_norm: 6.1157 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2380 loss: 2.2380 2022/07/27 15:22:17 - mmengine - INFO - Epoch(train) [53][3680/3757] lr: 8.0783e-03 eta: 2 days, 4:11:28 time: 0.3973 data_time: 0.0155 memory: 17007 grad_norm: 5.9405 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2765 loss: 2.2765 2022/07/27 15:22:25 - mmengine - INFO - Epoch(train) [53][3700/3757] lr: 8.0783e-03 eta: 2 days, 4:11:20 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 5.8465 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2522 loss: 2.2522 2022/07/27 15:22:33 - mmengine - INFO - Epoch(train) [53][3720/3757] lr: 8.0783e-03 eta: 2 days, 4:11:13 time: 0.4002 data_time: 0.0154 memory: 17007 grad_norm: 6.1773 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2493 loss: 2.2493 2022/07/27 15:22:41 - mmengine - INFO - Epoch(train) [53][3740/3757] lr: 8.0783e-03 eta: 2 days, 4:11:05 time: 0.3908 data_time: 0.0136 memory: 17007 grad_norm: 6.1292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3363 loss: 2.3363 2022/07/27 15:22:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:22:48 - mmengine - INFO - Epoch(train) [53][3757/3757] lr: 8.0783e-03 eta: 2 days, 4:11:05 time: 0.3935 data_time: 0.0173 memory: 17007 grad_norm: 6.0059 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.3393 loss: 2.3393 2022/07/27 15:22:48 - mmengine - INFO - Saving checkpoint at 53 epochs 2022/07/27 15:22:59 - mmengine - INFO - Epoch(train) [54][20/3757] lr: 8.0091e-03 eta: 2 days, 4:10:37 time: 0.4487 data_time: 0.0710 memory: 17007 grad_norm: 6.0860 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7443 loss: 2.7443 2022/07/27 15:23:07 - mmengine - INFO - Epoch(train) [54][40/3757] lr: 8.0091e-03 eta: 2 days, 4:10:30 time: 0.4149 data_time: 0.0183 memory: 17007 grad_norm: 6.1530 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3979 loss: 2.3979 2022/07/27 15:23:15 - mmengine - INFO - Epoch(train) [54][60/3757] lr: 8.0091e-03 eta: 2 days, 4:10:22 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.0686 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3222 loss: 2.3222 2022/07/27 15:23:23 - mmengine - INFO - Epoch(train) [54][80/3757] lr: 8.0091e-03 eta: 2 days, 4:10:15 time: 0.4071 data_time: 0.0148 memory: 17007 grad_norm: 6.1129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3171 loss: 2.3171 2022/07/27 15:23:31 - mmengine - INFO - Epoch(train) [54][100/3757] lr: 8.0091e-03 eta: 2 days, 4:10:07 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 6.0456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1465 loss: 2.1465 2022/07/27 15:23:39 - mmengine - INFO - Epoch(train) [54][120/3757] lr: 8.0091e-03 eta: 2 days, 4:09:59 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 5.9736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3526 loss: 2.3526 2022/07/27 15:23:47 - mmengine - INFO - Epoch(train) [54][140/3757] lr: 8.0091e-03 eta: 2 days, 4:09:51 time: 0.3984 data_time: 0.0155 memory: 17007 grad_norm: 6.0641 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4091 loss: 2.4091 2022/07/27 15:23:55 - mmengine - INFO - Epoch(train) [54][160/3757] lr: 8.0091e-03 eta: 2 days, 4:09:43 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 6.2774 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5202 loss: 2.5202 2022/07/27 15:24:03 - mmengine - INFO - Epoch(train) [54][180/3757] lr: 8.0091e-03 eta: 2 days, 4:09:36 time: 0.3998 data_time: 0.0167 memory: 17007 grad_norm: 6.1738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1447 loss: 2.1447 2022/07/27 15:24:10 - mmengine - INFO - Epoch(train) [54][200/3757] lr: 8.0091e-03 eta: 2 days, 4:09:28 time: 0.3926 data_time: 0.0146 memory: 17007 grad_norm: 6.1268 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3789 loss: 2.3789 2022/07/27 15:24:18 - mmengine - INFO - Epoch(train) [54][220/3757] lr: 8.0091e-03 eta: 2 days, 4:09:20 time: 0.3913 data_time: 0.0148 memory: 17007 grad_norm: 5.7909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9836 loss: 1.9836 2022/07/27 15:24:26 - mmengine - INFO - Epoch(train) [54][240/3757] lr: 8.0091e-03 eta: 2 days, 4:09:12 time: 0.4045 data_time: 0.0162 memory: 17007 grad_norm: 6.0618 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0739 loss: 2.0739 2022/07/27 15:24:34 - mmengine - INFO - Epoch(train) [54][260/3757] lr: 8.0091e-03 eta: 2 days, 4:09:04 time: 0.3917 data_time: 0.0147 memory: 17007 grad_norm: 6.0447 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6367 loss: 2.6367 2022/07/27 15:24:42 - mmengine - INFO - Epoch(train) [54][280/3757] lr: 8.0091e-03 eta: 2 days, 4:08:57 time: 0.3968 data_time: 0.0150 memory: 17007 grad_norm: 5.9724 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2026 loss: 2.2026 2022/07/27 15:24:50 - mmengine - INFO - Epoch(train) [54][300/3757] lr: 8.0091e-03 eta: 2 days, 4:08:49 time: 0.4018 data_time: 0.0141 memory: 17007 grad_norm: 6.1054 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2190 loss: 2.2190 2022/07/27 15:24:58 - mmengine - INFO - Epoch(train) [54][320/3757] lr: 8.0091e-03 eta: 2 days, 4:08:41 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 6.0954 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3528 loss: 2.3528 2022/07/27 15:25:06 - mmengine - INFO - Epoch(train) [54][340/3757] lr: 8.0091e-03 eta: 2 days, 4:08:34 time: 0.3967 data_time: 0.0168 memory: 17007 grad_norm: 6.0005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6391 loss: 2.6391 2022/07/27 15:25:14 - mmengine - INFO - Epoch(train) [54][360/3757] lr: 8.0091e-03 eta: 2 days, 4:08:26 time: 0.3946 data_time: 0.0166 memory: 17007 grad_norm: 6.2248 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2373 loss: 2.2373 2022/07/27 15:25:22 - mmengine - INFO - Epoch(train) [54][380/3757] lr: 8.0091e-03 eta: 2 days, 4:08:18 time: 0.3911 data_time: 0.0147 memory: 17007 grad_norm: 6.1079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3204 loss: 2.3204 2022/07/27 15:25:30 - mmengine - INFO - Epoch(train) [54][400/3757] lr: 8.0091e-03 eta: 2 days, 4:08:10 time: 0.3956 data_time: 0.0161 memory: 17007 grad_norm: 6.0734 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3267 loss: 2.3267 2022/07/27 15:25:37 - mmengine - INFO - Epoch(train) [54][420/3757] lr: 8.0091e-03 eta: 2 days, 4:08:02 time: 0.3943 data_time: 0.0154 memory: 17007 grad_norm: 6.0646 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5059 loss: 2.5059 2022/07/27 15:25:45 - mmengine - INFO - Epoch(train) [54][440/3757] lr: 8.0091e-03 eta: 2 days, 4:07:54 time: 0.3952 data_time: 0.0161 memory: 17007 grad_norm: 5.9680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2725 loss: 2.2725 2022/07/27 15:25:53 - mmengine - INFO - Epoch(train) [54][460/3757] lr: 8.0091e-03 eta: 2 days, 4:07:46 time: 0.3927 data_time: 0.0143 memory: 17007 grad_norm: 6.0790 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3329 loss: 2.3329 2022/07/27 15:26:01 - mmengine - INFO - Epoch(train) [54][480/3757] lr: 8.0091e-03 eta: 2 days, 4:07:38 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 5.9715 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3863 loss: 2.3863 2022/07/27 15:26:09 - mmengine - INFO - Epoch(train) [54][500/3757] lr: 8.0091e-03 eta: 2 days, 4:07:31 time: 0.3964 data_time: 0.0156 memory: 17007 grad_norm: 6.3938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3017 loss: 2.3017 2022/07/27 15:26:17 - mmengine - INFO - Epoch(train) [54][520/3757] lr: 8.0091e-03 eta: 2 days, 4:07:23 time: 0.3922 data_time: 0.0154 memory: 17007 grad_norm: 6.1036 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4134 loss: 2.4134 2022/07/27 15:26:25 - mmengine - INFO - Epoch(train) [54][540/3757] lr: 8.0091e-03 eta: 2 days, 4:07:15 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 6.3167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2189 loss: 2.2189 2022/07/27 15:26:33 - mmengine - INFO - Epoch(train) [54][560/3757] lr: 8.0091e-03 eta: 2 days, 4:07:07 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 5.9704 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4186 loss: 2.4186 2022/07/27 15:26:40 - mmengine - INFO - Epoch(train) [54][580/3757] lr: 8.0091e-03 eta: 2 days, 4:06:59 time: 0.3915 data_time: 0.0154 memory: 17007 grad_norm: 6.0822 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2779 loss: 2.2779 2022/07/27 15:26:48 - mmengine - INFO - Epoch(train) [54][600/3757] lr: 8.0091e-03 eta: 2 days, 4:06:51 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 6.0218 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2484 loss: 2.2484 2022/07/27 15:26:56 - mmengine - INFO - Epoch(train) [54][620/3757] lr: 8.0091e-03 eta: 2 days, 4:06:43 time: 0.3916 data_time: 0.0155 memory: 17007 grad_norm: 6.0578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0439 loss: 2.0439 2022/07/27 15:27:04 - mmengine - INFO - Epoch(train) [54][640/3757] lr: 8.0091e-03 eta: 2 days, 4:06:36 time: 0.3992 data_time: 0.0183 memory: 17007 grad_norm: 6.2235 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3306 loss: 2.3306 2022/07/27 15:27:12 - mmengine - INFO - Epoch(train) [54][660/3757] lr: 8.0091e-03 eta: 2 days, 4:06:28 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.1979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3145 loss: 2.3145 2022/07/27 15:27:20 - mmengine - INFO - Epoch(train) [54][680/3757] lr: 8.0091e-03 eta: 2 days, 4:06:20 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 5.9181 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4398 loss: 2.4398 2022/07/27 15:27:28 - mmengine - INFO - Epoch(train) [54][700/3757] lr: 8.0091e-03 eta: 2 days, 4:06:12 time: 0.3958 data_time: 0.0165 memory: 17007 grad_norm: 6.1851 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3286 loss: 2.3286 2022/07/27 15:27:36 - mmengine - INFO - Epoch(train) [54][720/3757] lr: 8.0091e-03 eta: 2 days, 4:06:04 time: 0.4003 data_time: 0.0155 memory: 17007 grad_norm: 7.7277 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2756 loss: 2.2756 2022/07/27 15:27:44 - mmengine - INFO - Epoch(train) [54][740/3757] lr: 8.0091e-03 eta: 2 days, 4:05:57 time: 0.3955 data_time: 0.0162 memory: 17007 grad_norm: 6.6353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4031 loss: 2.4031 2022/07/27 15:27:52 - mmengine - INFO - Epoch(train) [54][760/3757] lr: 8.0091e-03 eta: 2 days, 4:05:49 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 6.1443 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5646 loss: 2.5646 2022/07/27 15:28:00 - mmengine - INFO - Epoch(train) [54][780/3757] lr: 8.0091e-03 eta: 2 days, 4:05:41 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 5.9512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1886 loss: 2.1886 2022/07/27 15:28:07 - mmengine - INFO - Epoch(train) [54][800/3757] lr: 8.0091e-03 eta: 2 days, 4:05:33 time: 0.3956 data_time: 0.0172 memory: 17007 grad_norm: 6.1375 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4499 loss: 2.4499 2022/07/27 15:28:15 - mmengine - INFO - Epoch(train) [54][820/3757] lr: 8.0091e-03 eta: 2 days, 4:05:25 time: 0.3917 data_time: 0.0146 memory: 17007 grad_norm: 6.0564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6307 loss: 2.6307 2022/07/27 15:28:23 - mmengine - INFO - Epoch(train) [54][840/3757] lr: 8.0091e-03 eta: 2 days, 4:05:17 time: 0.3968 data_time: 0.0182 memory: 17007 grad_norm: 6.1037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3586 loss: 2.3586 2022/07/27 15:28:31 - mmengine - INFO - Epoch(train) [54][860/3757] lr: 8.0091e-03 eta: 2 days, 4:05:09 time: 0.3924 data_time: 0.0156 memory: 17007 grad_norm: 6.2238 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5433 loss: 2.5433 2022/07/27 15:28:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:28:39 - mmengine - INFO - Epoch(train) [54][880/3757] lr: 8.0091e-03 eta: 2 days, 4:05:02 time: 0.3956 data_time: 0.0150 memory: 17007 grad_norm: 6.1004 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4506 loss: 2.4506 2022/07/27 15:28:47 - mmengine - INFO - Epoch(train) [54][900/3757] lr: 8.0091e-03 eta: 2 days, 4:04:54 time: 0.3968 data_time: 0.0159 memory: 17007 grad_norm: 6.2666 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4816 loss: 2.4816 2022/07/27 15:28:55 - mmengine - INFO - Epoch(train) [54][920/3757] lr: 8.0091e-03 eta: 2 days, 4:04:46 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 6.2993 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3606 loss: 2.3606 2022/07/27 15:29:03 - mmengine - INFO - Epoch(train) [54][940/3757] lr: 8.0091e-03 eta: 2 days, 4:04:38 time: 0.3931 data_time: 0.0139 memory: 17007 grad_norm: 5.9707 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6830 loss: 2.6830 2022/07/27 15:29:11 - mmengine - INFO - Epoch(train) [54][960/3757] lr: 8.0091e-03 eta: 2 days, 4:04:30 time: 0.3929 data_time: 0.0162 memory: 17007 grad_norm: 5.9819 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2819 loss: 2.2819 2022/07/27 15:29:18 - mmengine - INFO - Epoch(train) [54][980/3757] lr: 8.0091e-03 eta: 2 days, 4:04:22 time: 0.3933 data_time: 0.0148 memory: 17007 grad_norm: 5.9867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2953 loss: 2.2953 2022/07/27 15:29:26 - mmengine - INFO - Epoch(train) [54][1000/3757] lr: 8.0091e-03 eta: 2 days, 4:04:15 time: 0.3958 data_time: 0.0166 memory: 17007 grad_norm: 6.1473 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5424 loss: 2.5424 2022/07/27 15:29:34 - mmengine - INFO - Epoch(train) [54][1020/3757] lr: 8.0091e-03 eta: 2 days, 4:04:07 time: 0.3996 data_time: 0.0148 memory: 17007 grad_norm: 6.3970 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5747 loss: 2.5747 2022/07/27 15:29:42 - mmengine - INFO - Epoch(train) [54][1040/3757] lr: 8.0091e-03 eta: 2 days, 4:03:59 time: 0.3923 data_time: 0.0159 memory: 17007 grad_norm: 6.1213 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3818 loss: 2.3818 2022/07/27 15:29:50 - mmengine - INFO - Epoch(train) [54][1060/3757] lr: 8.0091e-03 eta: 2 days, 4:03:51 time: 0.3984 data_time: 0.0161 memory: 17007 grad_norm: 6.2276 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5653 loss: 2.5653 2022/07/27 15:29:58 - mmengine - INFO - Epoch(train) [54][1080/3757] lr: 8.0091e-03 eta: 2 days, 4:03:44 time: 0.3939 data_time: 0.0164 memory: 17007 grad_norm: 6.0908 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2039 loss: 2.2039 2022/07/27 15:30:06 - mmengine - INFO - Epoch(train) [54][1100/3757] lr: 8.0091e-03 eta: 2 days, 4:03:36 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 6.0195 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4239 loss: 2.4239 2022/07/27 15:30:14 - mmengine - INFO - Epoch(train) [54][1120/3757] lr: 8.0091e-03 eta: 2 days, 4:03:28 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 6.0196 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3052 loss: 2.3052 2022/07/27 15:30:22 - mmengine - INFO - Epoch(train) [54][1140/3757] lr: 8.0091e-03 eta: 2 days, 4:03:20 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 5.9129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4440 loss: 2.4440 2022/07/27 15:30:30 - mmengine - INFO - Epoch(train) [54][1160/3757] lr: 8.0091e-03 eta: 2 days, 4:03:13 time: 0.4032 data_time: 0.0150 memory: 17007 grad_norm: 5.9127 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3476 loss: 2.3476 2022/07/27 15:30:38 - mmengine - INFO - Epoch(train) [54][1180/3757] lr: 8.0091e-03 eta: 2 days, 4:03:05 time: 0.3976 data_time: 0.0152 memory: 17007 grad_norm: 6.0891 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1369 loss: 2.1369 2022/07/27 15:30:46 - mmengine - INFO - Epoch(train) [54][1200/3757] lr: 8.0091e-03 eta: 2 days, 4:02:58 time: 0.4044 data_time: 0.0170 memory: 17007 grad_norm: 5.9945 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2496 loss: 2.2496 2022/07/27 15:30:54 - mmengine - INFO - Epoch(train) [54][1220/3757] lr: 8.0091e-03 eta: 2 days, 4:02:50 time: 0.4014 data_time: 0.0144 memory: 17007 grad_norm: 6.3734 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5587 loss: 2.5587 2022/07/27 15:31:02 - mmengine - INFO - Epoch(train) [54][1240/3757] lr: 8.0091e-03 eta: 2 days, 4:02:42 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 6.0377 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3185 loss: 2.3185 2022/07/27 15:31:10 - mmengine - INFO - Epoch(train) [54][1260/3757] lr: 8.0091e-03 eta: 2 days, 4:02:34 time: 0.3962 data_time: 0.0164 memory: 17007 grad_norm: 6.0929 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4851 loss: 2.4851 2022/07/27 15:31:18 - mmengine - INFO - Epoch(train) [54][1280/3757] lr: 8.0091e-03 eta: 2 days, 4:02:27 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 6.0496 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1067 loss: 2.1067 2022/07/27 15:31:25 - mmengine - INFO - Epoch(train) [54][1300/3757] lr: 8.0091e-03 eta: 2 days, 4:02:19 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 6.0477 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5012 loss: 2.5012 2022/07/27 15:31:33 - mmengine - INFO - Epoch(train) [54][1320/3757] lr: 8.0091e-03 eta: 2 days, 4:02:11 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 6.2703 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3363 loss: 2.3363 2022/07/27 15:31:41 - mmengine - INFO - Epoch(train) [54][1340/3757] lr: 8.0091e-03 eta: 2 days, 4:02:03 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 6.0074 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2362 loss: 2.2362 2022/07/27 15:31:49 - mmengine - INFO - Epoch(train) [54][1360/3757] lr: 8.0091e-03 eta: 2 days, 4:01:55 time: 0.3967 data_time: 0.0161 memory: 17007 grad_norm: 6.1498 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3585 loss: 2.3585 2022/07/27 15:31:57 - mmengine - INFO - Epoch(train) [54][1380/3757] lr: 8.0091e-03 eta: 2 days, 4:01:47 time: 0.3947 data_time: 0.0141 memory: 17007 grad_norm: 5.9293 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1962 loss: 2.1962 2022/07/27 15:32:05 - mmengine - INFO - Epoch(train) [54][1400/3757] lr: 8.0091e-03 eta: 2 days, 4:01:40 time: 0.3957 data_time: 0.0168 memory: 17007 grad_norm: 6.1363 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5004 loss: 2.5004 2022/07/27 15:32:13 - mmengine - INFO - Epoch(train) [54][1420/3757] lr: 8.0091e-03 eta: 2 days, 4:01:32 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 6.3542 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2484 loss: 2.2484 2022/07/27 15:32:21 - mmengine - INFO - Epoch(train) [54][1440/3757] lr: 8.0091e-03 eta: 2 days, 4:01:24 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 5.9413 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2103 loss: 2.2103 2022/07/27 15:32:29 - mmengine - INFO - Epoch(train) [54][1460/3757] lr: 8.0091e-03 eta: 2 days, 4:01:16 time: 0.3954 data_time: 0.0161 memory: 17007 grad_norm: 6.2880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2744 loss: 2.2744 2022/07/27 15:32:36 - mmengine - INFO - Epoch(train) [54][1480/3757] lr: 8.0091e-03 eta: 2 days, 4:01:08 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 6.3611 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5428 loss: 2.5428 2022/07/27 15:32:44 - mmengine - INFO - Epoch(train) [54][1500/3757] lr: 8.0091e-03 eta: 2 days, 4:01:00 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 5.9058 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2592 loss: 2.2592 2022/07/27 15:32:52 - mmengine - INFO - Epoch(train) [54][1520/3757] lr: 8.0091e-03 eta: 2 days, 4:00:52 time: 0.3917 data_time: 0.0159 memory: 17007 grad_norm: 5.9364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1960 loss: 2.1960 2022/07/27 15:33:00 - mmengine - INFO - Epoch(train) [54][1540/3757] lr: 8.0091e-03 eta: 2 days, 4:00:44 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 6.2219 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4435 loss: 2.4435 2022/07/27 15:33:08 - mmengine - INFO - Epoch(train) [54][1560/3757] lr: 8.0091e-03 eta: 2 days, 4:00:37 time: 0.3972 data_time: 0.0155 memory: 17007 grad_norm: 6.6670 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3420 loss: 2.3420 2022/07/27 15:33:16 - mmengine - INFO - Epoch(train) [54][1580/3757] lr: 8.0091e-03 eta: 2 days, 4:00:29 time: 0.3913 data_time: 0.0142 memory: 17007 grad_norm: 6.2575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0163 loss: 2.0163 2022/07/27 15:33:24 - mmengine - INFO - Epoch(train) [54][1600/3757] lr: 8.0091e-03 eta: 2 days, 4:00:21 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 6.1368 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2807 loss: 2.2807 2022/07/27 15:33:32 - mmengine - INFO - Epoch(train) [54][1620/3757] lr: 8.0091e-03 eta: 2 days, 4:00:13 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.2821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3791 loss: 2.3791 2022/07/27 15:33:40 - mmengine - INFO - Epoch(train) [54][1640/3757] lr: 8.0091e-03 eta: 2 days, 4:00:05 time: 0.4062 data_time: 0.0149 memory: 17007 grad_norm: 6.2446 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4161 loss: 2.4161 2022/07/27 15:33:48 - mmengine - INFO - Epoch(train) [54][1660/3757] lr: 8.0091e-03 eta: 2 days, 3:59:58 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 6.0599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3791 loss: 2.3791 2022/07/27 15:33:55 - mmengine - INFO - Epoch(train) [54][1680/3757] lr: 8.0091e-03 eta: 2 days, 3:59:50 time: 0.3915 data_time: 0.0143 memory: 17007 grad_norm: 6.0282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3663 loss: 2.3663 2022/07/27 15:34:03 - mmengine - INFO - Epoch(train) [54][1700/3757] lr: 8.0091e-03 eta: 2 days, 3:59:42 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.0927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0406 loss: 2.0406 2022/07/27 15:34:11 - mmengine - INFO - Epoch(train) [54][1720/3757] lr: 8.0091e-03 eta: 2 days, 3:59:34 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 6.0535 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3856 loss: 2.3856 2022/07/27 15:34:19 - mmengine - INFO - Epoch(train) [54][1740/3757] lr: 8.0091e-03 eta: 2 days, 3:59:26 time: 0.3918 data_time: 0.0160 memory: 17007 grad_norm: 6.0328 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2173 loss: 2.2173 2022/07/27 15:34:27 - mmengine - INFO - Epoch(train) [54][1760/3757] lr: 8.0091e-03 eta: 2 days, 3:59:18 time: 0.3946 data_time: 0.0147 memory: 17007 grad_norm: 6.0129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4897 loss: 2.4897 2022/07/27 15:34:35 - mmengine - INFO - Epoch(train) [54][1780/3757] lr: 8.0091e-03 eta: 2 days, 3:59:10 time: 0.3914 data_time: 0.0144 memory: 17007 grad_norm: 6.2490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2597 loss: 2.2597 2022/07/27 15:34:43 - mmengine - INFO - Epoch(train) [54][1800/3757] lr: 8.0091e-03 eta: 2 days, 3:59:02 time: 0.3912 data_time: 0.0147 memory: 17007 grad_norm: 6.0329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0975 loss: 2.0975 2022/07/27 15:34:50 - mmengine - INFO - Epoch(train) [54][1820/3757] lr: 8.0091e-03 eta: 2 days, 3:58:54 time: 0.3947 data_time: 0.0142 memory: 17007 grad_norm: 6.1541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5090 loss: 2.5090 2022/07/27 15:34:58 - mmengine - INFO - Epoch(train) [54][1840/3757] lr: 8.0091e-03 eta: 2 days, 3:58:46 time: 0.3902 data_time: 0.0152 memory: 17007 grad_norm: 5.9858 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2557 loss: 2.2557 2022/07/27 15:35:06 - mmengine - INFO - Epoch(train) [54][1860/3757] lr: 8.0091e-03 eta: 2 days, 3:58:38 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 5.8893 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5286 loss: 2.5286 2022/07/27 15:35:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:35:14 - mmengine - INFO - Epoch(train) [54][1880/3757] lr: 8.0091e-03 eta: 2 days, 3:58:30 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 5.9819 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1916 loss: 2.1916 2022/07/27 15:35:22 - mmengine - INFO - Epoch(train) [54][1900/3757] lr: 8.0091e-03 eta: 2 days, 3:58:22 time: 0.3918 data_time: 0.0147 memory: 17007 grad_norm: 6.1220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4793 loss: 2.4793 2022/07/27 15:35:30 - mmengine - INFO - Epoch(train) [54][1920/3757] lr: 8.0091e-03 eta: 2 days, 3:58:15 time: 0.3978 data_time: 0.0169 memory: 17007 grad_norm: 5.9968 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7109 loss: 2.7109 2022/07/27 15:35:38 - mmengine - INFO - Epoch(train) [54][1940/3757] lr: 8.0091e-03 eta: 2 days, 3:58:07 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 5.8177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1712 loss: 2.1712 2022/07/27 15:35:46 - mmengine - INFO - Epoch(train) [54][1960/3757] lr: 8.0091e-03 eta: 2 days, 3:58:00 time: 0.4054 data_time: 0.0164 memory: 17007 grad_norm: 6.0201 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1824 loss: 2.1824 2022/07/27 15:35:54 - mmengine - INFO - Epoch(train) [54][1980/3757] lr: 8.0091e-03 eta: 2 days, 3:57:52 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 6.3019 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3592 loss: 2.3592 2022/07/27 15:36:01 - mmengine - INFO - Epoch(train) [54][2000/3757] lr: 8.0091e-03 eta: 2 days, 3:57:44 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 6.2232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5287 loss: 2.5287 2022/07/27 15:36:10 - mmengine - INFO - Epoch(train) [54][2020/3757] lr: 8.0091e-03 eta: 2 days, 3:57:37 time: 0.4104 data_time: 0.0169 memory: 17007 grad_norm: 6.2055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5859 loss: 2.5859 2022/07/27 15:36:18 - mmengine - INFO - Epoch(train) [54][2040/3757] lr: 8.0091e-03 eta: 2 days, 3:57:29 time: 0.3928 data_time: 0.0162 memory: 17007 grad_norm: 5.9904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5679 loss: 2.5679 2022/07/27 15:36:26 - mmengine - INFO - Epoch(train) [54][2060/3757] lr: 8.0091e-03 eta: 2 days, 3:57:21 time: 0.3982 data_time: 0.0161 memory: 17007 grad_norm: 6.2251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3872 loss: 2.3872 2022/07/27 15:36:34 - mmengine - INFO - Epoch(train) [54][2080/3757] lr: 8.0091e-03 eta: 2 days, 3:57:14 time: 0.4089 data_time: 0.0163 memory: 17007 grad_norm: 6.0936 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.4327 loss: 2.4327 2022/07/27 15:36:42 - mmengine - INFO - Epoch(train) [54][2100/3757] lr: 8.0091e-03 eta: 2 days, 3:57:06 time: 0.3905 data_time: 0.0139 memory: 17007 grad_norm: 6.0817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5028 loss: 2.5028 2022/07/27 15:36:49 - mmengine - INFO - Epoch(train) [54][2120/3757] lr: 8.0091e-03 eta: 2 days, 3:56:58 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 5.8853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3514 loss: 2.3514 2022/07/27 15:36:57 - mmengine - INFO - Epoch(train) [54][2140/3757] lr: 8.0091e-03 eta: 2 days, 3:56:50 time: 0.3911 data_time: 0.0143 memory: 17007 grad_norm: 5.9224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9810 loss: 1.9810 2022/07/27 15:37:05 - mmengine - INFO - Epoch(train) [54][2160/3757] lr: 8.0091e-03 eta: 2 days, 3:56:42 time: 0.3996 data_time: 0.0166 memory: 17007 grad_norm: 6.3632 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4767 loss: 2.4767 2022/07/27 15:37:13 - mmengine - INFO - Epoch(train) [54][2180/3757] lr: 8.0091e-03 eta: 2 days, 3:56:34 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 5.9393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3009 loss: 2.3009 2022/07/27 15:37:21 - mmengine - INFO - Epoch(train) [54][2200/3757] lr: 8.0091e-03 eta: 2 days, 3:56:27 time: 0.3976 data_time: 0.0154 memory: 17007 grad_norm: 6.1392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3541 loss: 2.3541 2022/07/27 15:37:29 - mmengine - INFO - Epoch(train) [54][2220/3757] lr: 8.0091e-03 eta: 2 days, 3:56:19 time: 0.3953 data_time: 0.0169 memory: 17007 grad_norm: 6.2353 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6263 loss: 2.6263 2022/07/27 15:37:37 - mmengine - INFO - Epoch(train) [54][2240/3757] lr: 8.0091e-03 eta: 2 days, 3:56:11 time: 0.3971 data_time: 0.0165 memory: 17007 grad_norm: 6.1544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3775 loss: 2.3775 2022/07/27 15:37:45 - mmengine - INFO - Epoch(train) [54][2260/3757] lr: 8.0091e-03 eta: 2 days, 3:56:03 time: 0.3947 data_time: 0.0128 memory: 17007 grad_norm: 6.3533 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0838 loss: 2.0838 2022/07/27 15:37:53 - mmengine - INFO - Epoch(train) [54][2280/3757] lr: 8.0091e-03 eta: 2 days, 3:55:56 time: 0.3947 data_time: 0.0213 memory: 17007 grad_norm: 6.0851 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4533 loss: 2.4533 2022/07/27 15:38:01 - mmengine - INFO - Epoch(train) [54][2300/3757] lr: 8.0091e-03 eta: 2 days, 3:55:48 time: 0.3926 data_time: 0.0132 memory: 17007 grad_norm: 5.9938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5314 loss: 2.5314 2022/07/27 15:38:08 - mmengine - INFO - Epoch(train) [54][2320/3757] lr: 8.0091e-03 eta: 2 days, 3:55:40 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 6.1168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5136 loss: 2.5136 2022/07/27 15:38:16 - mmengine - INFO - Epoch(train) [54][2340/3757] lr: 8.0091e-03 eta: 2 days, 3:55:32 time: 0.3911 data_time: 0.0139 memory: 17007 grad_norm: 5.7906 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1365 loss: 2.1365 2022/07/27 15:38:24 - mmengine - INFO - Epoch(train) [54][2360/3757] lr: 8.0091e-03 eta: 2 days, 3:55:24 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 6.0541 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4783 loss: 2.4783 2022/07/27 15:38:32 - mmengine - INFO - Epoch(train) [54][2380/3757] lr: 8.0091e-03 eta: 2 days, 3:55:16 time: 0.3923 data_time: 0.0137 memory: 17007 grad_norm: 5.8936 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2820 loss: 2.2820 2022/07/27 15:38:40 - mmengine - INFO - Epoch(train) [54][2400/3757] lr: 8.0091e-03 eta: 2 days, 3:55:08 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 6.2404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2343 loss: 2.2343 2022/07/27 15:38:48 - mmengine - INFO - Epoch(train) [54][2420/3757] lr: 8.0091e-03 eta: 2 days, 3:55:00 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 6.1548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2360 loss: 2.2360 2022/07/27 15:38:56 - mmengine - INFO - Epoch(train) [54][2440/3757] lr: 8.0091e-03 eta: 2 days, 3:54:52 time: 0.3921 data_time: 0.0151 memory: 17007 grad_norm: 5.9815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2703 loss: 2.2703 2022/07/27 15:39:04 - mmengine - INFO - Epoch(train) [54][2460/3757] lr: 8.0091e-03 eta: 2 days, 3:54:45 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 6.2472 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2789 loss: 2.2789 2022/07/27 15:39:11 - mmengine - INFO - Epoch(train) [54][2480/3757] lr: 8.0091e-03 eta: 2 days, 3:54:37 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 6.0144 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6104 loss: 2.6104 2022/07/27 15:39:19 - mmengine - INFO - Epoch(train) [54][2500/3757] lr: 8.0091e-03 eta: 2 days, 3:54:29 time: 0.3917 data_time: 0.0140 memory: 17007 grad_norm: 6.2492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2985 loss: 2.2985 2022/07/27 15:39:27 - mmengine - INFO - Epoch(train) [54][2520/3757] lr: 8.0091e-03 eta: 2 days, 3:54:21 time: 0.3954 data_time: 0.0170 memory: 17007 grad_norm: 6.1325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0487 loss: 2.0487 2022/07/27 15:39:35 - mmengine - INFO - Epoch(train) [54][2540/3757] lr: 8.0091e-03 eta: 2 days, 3:54:13 time: 0.3915 data_time: 0.0139 memory: 17007 grad_norm: 6.0295 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3076 loss: 2.3076 2022/07/27 15:39:43 - mmengine - INFO - Epoch(train) [54][2560/3757] lr: 8.0091e-03 eta: 2 days, 3:54:05 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 6.2525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6024 loss: 2.6024 2022/07/27 15:39:51 - mmengine - INFO - Epoch(train) [54][2580/3757] lr: 8.0091e-03 eta: 2 days, 3:53:57 time: 0.3957 data_time: 0.0146 memory: 17007 grad_norm: 6.0203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5769 loss: 2.5769 2022/07/27 15:39:59 - mmengine - INFO - Epoch(train) [54][2600/3757] lr: 8.0091e-03 eta: 2 days, 3:53:49 time: 0.3924 data_time: 0.0151 memory: 17007 grad_norm: 5.7424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3997 loss: 2.3997 2022/07/27 15:40:07 - mmengine - INFO - Epoch(train) [54][2620/3757] lr: 8.0091e-03 eta: 2 days, 3:53:42 time: 0.3994 data_time: 0.0156 memory: 17007 grad_norm: 6.1230 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4291 loss: 2.4291 2022/07/27 15:40:15 - mmengine - INFO - Epoch(train) [54][2640/3757] lr: 8.0091e-03 eta: 2 days, 3:53:34 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 6.0731 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4145 loss: 2.4145 2022/07/27 15:40:22 - mmengine - INFO - Epoch(train) [54][2660/3757] lr: 8.0091e-03 eta: 2 days, 3:53:26 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 6.1793 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9444 loss: 1.9444 2022/07/27 15:40:30 - mmengine - INFO - Epoch(train) [54][2680/3757] lr: 8.0091e-03 eta: 2 days, 3:53:18 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.0485 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2815 loss: 2.2815 2022/07/27 15:40:38 - mmengine - INFO - Epoch(train) [54][2700/3757] lr: 8.0091e-03 eta: 2 days, 3:53:10 time: 0.3924 data_time: 0.0138 memory: 17007 grad_norm: 6.2054 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3420 loss: 2.3420 2022/07/27 15:40:46 - mmengine - INFO - Epoch(train) [54][2720/3757] lr: 8.0091e-03 eta: 2 days, 3:53:03 time: 0.4020 data_time: 0.0164 memory: 17007 grad_norm: 5.9568 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4840 loss: 2.4840 2022/07/27 15:40:54 - mmengine - INFO - Epoch(train) [54][2740/3757] lr: 8.0091e-03 eta: 2 days, 3:52:55 time: 0.3922 data_time: 0.0148 memory: 17007 grad_norm: 5.8876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1239 loss: 2.1239 2022/07/27 15:41:02 - mmengine - INFO - Epoch(train) [54][2760/3757] lr: 8.0091e-03 eta: 2 days, 3:52:47 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 6.0591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1044 loss: 2.1044 2022/07/27 15:41:10 - mmengine - INFO - Epoch(train) [54][2780/3757] lr: 8.0091e-03 eta: 2 days, 3:52:40 time: 0.4104 data_time: 0.0162 memory: 17007 grad_norm: 6.2677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3706 loss: 2.3706 2022/07/27 15:41:18 - mmengine - INFO - Epoch(train) [54][2800/3757] lr: 8.0091e-03 eta: 2 days, 3:52:32 time: 0.3950 data_time: 0.0172 memory: 17007 grad_norm: 6.1751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3802 loss: 2.3802 2022/07/27 15:41:26 - mmengine - INFO - Epoch(train) [54][2820/3757] lr: 8.0091e-03 eta: 2 days, 3:52:25 time: 0.4158 data_time: 0.0157 memory: 17007 grad_norm: 5.9717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2118 loss: 2.2118 2022/07/27 15:41:34 - mmengine - INFO - Epoch(train) [54][2840/3757] lr: 8.0091e-03 eta: 2 days, 3:52:17 time: 0.3944 data_time: 0.0162 memory: 17007 grad_norm: 6.0951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1668 loss: 2.1668 2022/07/27 15:41:42 - mmengine - INFO - Epoch(train) [54][2860/3757] lr: 8.0091e-03 eta: 2 days, 3:52:09 time: 0.3903 data_time: 0.0133 memory: 17007 grad_norm: 6.0501 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4188 loss: 2.4188 2022/07/27 15:41:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:41:50 - mmengine - INFO - Epoch(train) [54][2880/3757] lr: 8.0091e-03 eta: 2 days, 3:52:02 time: 0.4111 data_time: 0.0153 memory: 17007 grad_norm: 6.1558 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3539 loss: 2.3539 2022/07/27 15:41:58 - mmengine - INFO - Epoch(train) [54][2900/3757] lr: 8.0091e-03 eta: 2 days, 3:51:54 time: 0.3908 data_time: 0.0145 memory: 17007 grad_norm: 6.2537 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3093 loss: 2.3093 2022/07/27 15:42:09 - mmengine - INFO - Epoch(train) [54][2920/3757] lr: 8.0091e-03 eta: 2 days, 3:51:53 time: 0.5434 data_time: 0.0145 memory: 17007 grad_norm: 6.0567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3432 loss: 2.3432 2022/07/27 15:42:22 - mmengine - INFO - Epoch(train) [54][2940/3757] lr: 8.0091e-03 eta: 2 days, 3:51:58 time: 0.6570 data_time: 0.0149 memory: 17007 grad_norm: 6.3684 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3701 loss: 2.3701 2022/07/27 15:42:32 - mmengine - INFO - Epoch(train) [54][2960/3757] lr: 8.0091e-03 eta: 2 days, 3:51:55 time: 0.5061 data_time: 0.0180 memory: 17007 grad_norm: 6.0445 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5063 loss: 2.5063 2022/07/27 15:42:47 - mmengine - INFO - Epoch(train) [54][2980/3757] lr: 8.0091e-03 eta: 2 days, 3:52:04 time: 0.7604 data_time: 0.0175 memory: 17007 grad_norm: 6.1395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2965 loss: 2.2965 2022/07/27 15:42:58 - mmengine - INFO - Epoch(train) [54][3000/3757] lr: 8.0091e-03 eta: 2 days, 3:52:04 time: 0.5471 data_time: 0.0203 memory: 17007 grad_norm: 6.1250 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1990 loss: 2.1990 2022/07/27 15:43:12 - mmengine - INFO - Epoch(train) [54][3020/3757] lr: 8.0091e-03 eta: 2 days, 3:52:09 time: 0.6737 data_time: 0.0167 memory: 17007 grad_norm: 6.1108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1166 loss: 2.1166 2022/07/27 15:43:20 - mmengine - INFO - Epoch(train) [54][3040/3757] lr: 8.0091e-03 eta: 2 days, 3:52:02 time: 0.4184 data_time: 0.0177 memory: 17007 grad_norm: 5.9956 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2278 loss: 2.2278 2022/07/27 15:43:29 - mmengine - INFO - Epoch(train) [54][3060/3757] lr: 8.0091e-03 eta: 2 days, 3:51:57 time: 0.4412 data_time: 0.0131 memory: 17007 grad_norm: 6.2070 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5514 loss: 2.5514 2022/07/27 15:43:37 - mmengine - INFO - Epoch(train) [54][3080/3757] lr: 8.0091e-03 eta: 2 days, 3:51:49 time: 0.3946 data_time: 0.0165 memory: 17007 grad_norm: 6.0441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0859 loss: 2.0859 2022/07/27 15:43:45 - mmengine - INFO - Epoch(train) [54][3100/3757] lr: 8.0091e-03 eta: 2 days, 3:51:41 time: 0.4012 data_time: 0.0239 memory: 17007 grad_norm: 6.0429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4429 loss: 2.4429 2022/07/27 15:43:53 - mmengine - INFO - Epoch(train) [54][3120/3757] lr: 8.0091e-03 eta: 2 days, 3:51:33 time: 0.3917 data_time: 0.0155 memory: 17007 grad_norm: 6.3401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4575 loss: 2.4575 2022/07/27 15:44:01 - mmengine - INFO - Epoch(train) [54][3140/3757] lr: 8.0091e-03 eta: 2 days, 3:51:25 time: 0.3923 data_time: 0.0138 memory: 17007 grad_norm: 6.4387 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2800 loss: 2.2800 2022/07/27 15:44:09 - mmengine - INFO - Epoch(train) [54][3160/3757] lr: 8.0091e-03 eta: 2 days, 3:51:18 time: 0.3953 data_time: 0.0166 memory: 17007 grad_norm: 6.1799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3260 loss: 2.3260 2022/07/27 15:44:16 - mmengine - INFO - Epoch(train) [54][3180/3757] lr: 8.0091e-03 eta: 2 days, 3:51:10 time: 0.3922 data_time: 0.0140 memory: 17007 grad_norm: 5.9990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4330 loss: 2.4330 2022/07/27 15:44:24 - mmengine - INFO - Epoch(train) [54][3200/3757] lr: 8.0091e-03 eta: 2 days, 3:51:02 time: 0.3927 data_time: 0.0156 memory: 17007 grad_norm: 6.0810 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5642 loss: 2.5642 2022/07/27 15:44:32 - mmengine - INFO - Epoch(train) [54][3220/3757] lr: 8.0091e-03 eta: 2 days, 3:50:54 time: 0.3911 data_time: 0.0128 memory: 17007 grad_norm: 6.0698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3043 loss: 2.3043 2022/07/27 15:44:40 - mmengine - INFO - Epoch(train) [54][3240/3757] lr: 8.0091e-03 eta: 2 days, 3:50:46 time: 0.3942 data_time: 0.0162 memory: 17007 grad_norm: 6.0855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3938 loss: 2.3938 2022/07/27 15:44:48 - mmengine - INFO - Epoch(train) [54][3260/3757] lr: 8.0091e-03 eta: 2 days, 3:50:38 time: 0.3922 data_time: 0.0142 memory: 17007 grad_norm: 5.9572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5319 loss: 2.5319 2022/07/27 15:44:56 - mmengine - INFO - Epoch(train) [54][3280/3757] lr: 8.0091e-03 eta: 2 days, 3:50:30 time: 0.3939 data_time: 0.0163 memory: 17007 grad_norm: 6.1915 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3151 loss: 2.3151 2022/07/27 15:45:04 - mmengine - INFO - Epoch(train) [54][3300/3757] lr: 8.0091e-03 eta: 2 days, 3:50:22 time: 0.3908 data_time: 0.0129 memory: 17007 grad_norm: 6.1972 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4936 loss: 2.4936 2022/07/27 15:45:11 - mmengine - INFO - Epoch(train) [54][3320/3757] lr: 8.0091e-03 eta: 2 days, 3:50:14 time: 0.3932 data_time: 0.0157 memory: 17007 grad_norm: 6.2585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3085 loss: 2.3085 2022/07/27 15:45:21 - mmengine - INFO - Epoch(train) [54][3340/3757] lr: 8.0091e-03 eta: 2 days, 3:50:09 time: 0.4603 data_time: 0.0833 memory: 17007 grad_norm: 6.2883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5141 loss: 2.5141 2022/07/27 15:45:29 - mmengine - INFO - Epoch(train) [54][3360/3757] lr: 8.0091e-03 eta: 2 days, 3:50:01 time: 0.3954 data_time: 0.0167 memory: 17007 grad_norm: 5.9815 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4065 loss: 2.4065 2022/07/27 15:45:37 - mmengine - INFO - Epoch(train) [54][3380/3757] lr: 8.0091e-03 eta: 2 days, 3:49:54 time: 0.3950 data_time: 0.0143 memory: 17007 grad_norm: 6.1190 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2595 loss: 2.2595 2022/07/27 15:45:44 - mmengine - INFO - Epoch(train) [54][3400/3757] lr: 8.0091e-03 eta: 2 days, 3:49:46 time: 0.3946 data_time: 0.0162 memory: 17007 grad_norm: 5.9508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2458 loss: 2.2458 2022/07/27 15:45:52 - mmengine - INFO - Epoch(train) [54][3420/3757] lr: 8.0091e-03 eta: 2 days, 3:49:38 time: 0.3913 data_time: 0.0135 memory: 17007 grad_norm: 7.1198 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3007 loss: 2.3007 2022/07/27 15:46:00 - mmengine - INFO - Epoch(train) [54][3440/3757] lr: 8.0091e-03 eta: 2 days, 3:49:30 time: 0.3954 data_time: 0.0170 memory: 17007 grad_norm: 6.2217 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5581 loss: 2.5581 2022/07/27 15:46:08 - mmengine - INFO - Epoch(train) [54][3460/3757] lr: 8.0091e-03 eta: 2 days, 3:49:22 time: 0.3920 data_time: 0.0149 memory: 17007 grad_norm: 5.9577 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2327 loss: 2.2327 2022/07/27 15:46:16 - mmengine - INFO - Epoch(train) [54][3480/3757] lr: 8.0091e-03 eta: 2 days, 3:49:14 time: 0.3938 data_time: 0.0166 memory: 17007 grad_norm: 6.1460 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9814 loss: 1.9814 2022/07/27 15:46:24 - mmengine - INFO - Epoch(train) [54][3500/3757] lr: 8.0091e-03 eta: 2 days, 3:49:06 time: 0.3901 data_time: 0.0133 memory: 17007 grad_norm: 6.1617 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3745 loss: 2.3745 2022/07/27 15:46:32 - mmengine - INFO - Epoch(train) [54][3520/3757] lr: 8.0091e-03 eta: 2 days, 3:48:58 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 5.9805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3043 loss: 2.3043 2022/07/27 15:46:39 - mmengine - INFO - Epoch(train) [54][3540/3757] lr: 8.0091e-03 eta: 2 days, 3:48:50 time: 0.3928 data_time: 0.0135 memory: 17007 grad_norm: 5.9446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4425 loss: 2.4425 2022/07/27 15:46:47 - mmengine - INFO - Epoch(train) [54][3560/3757] lr: 8.0091e-03 eta: 2 days, 3:48:42 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 6.0515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4412 loss: 2.4412 2022/07/27 15:46:55 - mmengine - INFO - Epoch(train) [54][3580/3757] lr: 8.0091e-03 eta: 2 days, 3:48:34 time: 0.3930 data_time: 0.0143 memory: 17007 grad_norm: 6.0233 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0775 loss: 2.0775 2022/07/27 15:47:03 - mmengine - INFO - Epoch(train) [54][3600/3757] lr: 8.0091e-03 eta: 2 days, 3:48:27 time: 0.3928 data_time: 0.0159 memory: 17007 grad_norm: 6.4123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4103 loss: 2.4103 2022/07/27 15:47:11 - mmengine - INFO - Epoch(train) [54][3620/3757] lr: 8.0091e-03 eta: 2 days, 3:48:19 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 6.1629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2373 loss: 2.2373 2022/07/27 15:47:19 - mmengine - INFO - Epoch(train) [54][3640/3757] lr: 8.0091e-03 eta: 2 days, 3:48:11 time: 0.4003 data_time: 0.0170 memory: 17007 grad_norm: 6.0693 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4797 loss: 2.4797 2022/07/27 15:47:27 - mmengine - INFO - Epoch(train) [54][3660/3757] lr: 8.0091e-03 eta: 2 days, 3:48:03 time: 0.3922 data_time: 0.0129 memory: 17007 grad_norm: 6.1133 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2808 loss: 2.2808 2022/07/27 15:47:35 - mmengine - INFO - Epoch(train) [54][3680/3757] lr: 8.0091e-03 eta: 2 days, 3:47:55 time: 0.3939 data_time: 0.0169 memory: 17007 grad_norm: 5.9388 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4314 loss: 2.4314 2022/07/27 15:47:49 - mmengine - INFO - Epoch(train) [54][3700/3757] lr: 8.0091e-03 eta: 2 days, 3:48:03 time: 0.7192 data_time: 0.3240 memory: 17007 grad_norm: 6.0332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5131 loss: 2.5131 2022/07/27 15:47:57 - mmengine - INFO - Epoch(train) [54][3720/3757] lr: 8.0091e-03 eta: 2 days, 3:47:56 time: 0.4188 data_time: 0.0430 memory: 17007 grad_norm: 6.0196 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1170 loss: 2.1170 2022/07/27 15:48:05 - mmengine - INFO - Epoch(train) [54][3740/3757] lr: 8.0091e-03 eta: 2 days, 3:47:48 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 6.1585 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6886 loss: 2.6886 2022/07/27 15:48:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:48:12 - mmengine - INFO - Epoch(train) [54][3757/3757] lr: 8.0091e-03 eta: 2 days, 3:47:48 time: 0.3891 data_time: 0.0147 memory: 17007 grad_norm: 6.2785 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.5355 loss: 2.5355 2022/07/27 15:48:12 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/07/27 15:48:40 - mmengine - INFO - Epoch(train) [55][20/3757] lr: 7.9389e-03 eta: 2 days, 3:47:21 time: 0.4734 data_time: 0.0764 memory: 17007 grad_norm: 6.3045 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5773 loss: 2.5773 2022/07/27 15:48:48 - mmengine - INFO - Epoch(train) [55][40/3757] lr: 7.9389e-03 eta: 2 days, 3:47:14 time: 0.3961 data_time: 0.0173 memory: 17007 grad_norm: 5.8967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4382 loss: 2.4382 2022/07/27 15:49:02 - mmengine - INFO - Epoch(train) [55][60/3757] lr: 7.9389e-03 eta: 2 days, 3:47:20 time: 0.6954 data_time: 0.3124 memory: 17007 grad_norm: 5.8973 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0330 loss: 2.0330 2022/07/27 15:49:09 - mmengine - INFO - Epoch(train) [55][80/3757] lr: 7.9389e-03 eta: 2 days, 3:47:12 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 6.0364 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2858 loss: 2.2858 2022/07/27 15:49:17 - mmengine - INFO - Epoch(train) [55][100/3757] lr: 7.9389e-03 eta: 2 days, 3:47:04 time: 0.3990 data_time: 0.0159 memory: 17007 grad_norm: 6.1155 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1986 loss: 2.1986 2022/07/27 15:49:25 - mmengine - INFO - Epoch(train) [55][120/3757] lr: 7.9389e-03 eta: 2 days, 3:46:57 time: 0.3975 data_time: 0.0164 memory: 17007 grad_norm: 6.0816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2421 loss: 2.2421 2022/07/27 15:49:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:49:46 - mmengine - INFO - Epoch(train) [55][140/3757] lr: 7.9389e-03 eta: 2 days, 3:47:19 time: 1.0361 data_time: 0.6467 memory: 17007 grad_norm: 6.3046 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2904 loss: 2.2904 2022/07/27 15:49:54 - mmengine - INFO - Epoch(train) [55][160/3757] lr: 7.9389e-03 eta: 2 days, 3:47:11 time: 0.3914 data_time: 0.0139 memory: 17007 grad_norm: 5.9947 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3026 loss: 2.3026 2022/07/27 15:50:10 - mmengine - INFO - Epoch(train) [55][180/3757] lr: 7.9389e-03 eta: 2 days, 3:47:21 time: 0.7887 data_time: 0.3796 memory: 17007 grad_norm: 6.2536 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3227 loss: 2.3227 2022/07/27 15:50:18 - mmengine - INFO - Epoch(train) [55][200/3757] lr: 7.9389e-03 eta: 2 days, 3:47:14 time: 0.4000 data_time: 0.0155 memory: 17007 grad_norm: 6.0018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3750 loss: 2.3750 2022/07/27 15:50:26 - mmengine - INFO - Epoch(train) [55][220/3757] lr: 7.9389e-03 eta: 2 days, 3:47:06 time: 0.3920 data_time: 0.0159 memory: 17007 grad_norm: 6.0334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3438 loss: 2.3438 2022/07/27 15:50:34 - mmengine - INFO - Epoch(train) [55][240/3757] lr: 7.9389e-03 eta: 2 days, 3:46:58 time: 0.3930 data_time: 0.0145 memory: 17007 grad_norm: 6.1075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0464 loss: 2.0464 2022/07/27 15:50:41 - mmengine - INFO - Epoch(train) [55][260/3757] lr: 7.9389e-03 eta: 2 days, 3:46:50 time: 0.3939 data_time: 0.0170 memory: 17007 grad_norm: 5.7803 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2136 loss: 2.2136 2022/07/27 15:50:49 - mmengine - INFO - Epoch(train) [55][280/3757] lr: 7.9389e-03 eta: 2 days, 3:46:42 time: 0.3913 data_time: 0.0132 memory: 17007 grad_norm: 5.9414 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2808 loss: 2.2808 2022/07/27 15:50:57 - mmengine - INFO - Epoch(train) [55][300/3757] lr: 7.9389e-03 eta: 2 days, 3:46:34 time: 0.3941 data_time: 0.0169 memory: 17007 grad_norm: 5.9681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2955 loss: 2.2955 2022/07/27 15:51:05 - mmengine - INFO - Epoch(train) [55][320/3757] lr: 7.9389e-03 eta: 2 days, 3:46:26 time: 0.3918 data_time: 0.0129 memory: 17007 grad_norm: 6.1273 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2877 loss: 2.2877 2022/07/27 15:51:18 - mmengine - INFO - Epoch(train) [55][340/3757] lr: 7.9389e-03 eta: 2 days, 3:46:31 time: 0.6636 data_time: 0.2805 memory: 17007 grad_norm: 6.0907 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4214 loss: 2.4214 2022/07/27 15:51:31 - mmengine - INFO - Epoch(train) [55][360/3757] lr: 7.9389e-03 eta: 2 days, 3:46:33 time: 0.6171 data_time: 0.2367 memory: 17007 grad_norm: 6.2431 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4110 loss: 2.4110 2022/07/27 15:51:47 - mmengine - INFO - Epoch(train) [55][380/3757] lr: 7.9389e-03 eta: 2 days, 3:46:44 time: 0.8028 data_time: 0.4116 memory: 17007 grad_norm: 6.1248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3263 loss: 2.3263 2022/07/27 15:51:55 - mmengine - INFO - Epoch(train) [55][400/3757] lr: 7.9389e-03 eta: 2 days, 3:46:36 time: 0.3940 data_time: 0.0141 memory: 17007 grad_norm: 6.1074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4323 loss: 2.4323 2022/07/27 15:52:15 - mmengine - INFO - Epoch(train) [55][420/3757] lr: 7.9389e-03 eta: 2 days, 3:46:58 time: 1.0342 data_time: 0.6443 memory: 17007 grad_norm: 6.2685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2288 loss: 2.2288 2022/07/27 15:52:24 - mmengine - INFO - Epoch(train) [55][440/3757] lr: 7.9389e-03 eta: 2 days, 3:46:53 time: 0.4456 data_time: 0.0685 memory: 17007 grad_norm: 6.0672 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3090 loss: 2.3090 2022/07/27 15:52:37 - mmengine - INFO - Epoch(train) [55][460/3757] lr: 7.9389e-03 eta: 2 days, 3:46:57 time: 0.6455 data_time: 0.2637 memory: 17007 grad_norm: 6.3151 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3128 loss: 2.3128 2022/07/27 15:52:45 - mmengine - INFO - Epoch(train) [55][480/3757] lr: 7.9389e-03 eta: 2 days, 3:46:49 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 6.2716 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1620 loss: 2.1620 2022/07/27 15:52:53 - mmengine - INFO - Epoch(train) [55][500/3757] lr: 7.9389e-03 eta: 2 days, 3:46:41 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 7.7968 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2535 loss: 2.2535 2022/07/27 15:53:03 - mmengine - INFO - Epoch(train) [55][520/3757] lr: 7.9389e-03 eta: 2 days, 3:46:39 time: 0.5326 data_time: 0.1511 memory: 17007 grad_norm: 6.1371 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1260 loss: 2.1260 2022/07/27 15:53:11 - mmengine - INFO - Epoch(train) [55][540/3757] lr: 7.9389e-03 eta: 2 days, 3:46:32 time: 0.4014 data_time: 0.0159 memory: 17007 grad_norm: 6.3808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4705 loss: 2.4705 2022/07/27 15:53:19 - mmengine - INFO - Epoch(train) [55][560/3757] lr: 7.9389e-03 eta: 2 days, 3:46:24 time: 0.3965 data_time: 0.0176 memory: 17007 grad_norm: 5.9512 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0363 loss: 2.0363 2022/07/27 15:53:28 - mmengine - INFO - Epoch(train) [55][580/3757] lr: 7.9389e-03 eta: 2 days, 3:46:17 time: 0.4192 data_time: 0.0150 memory: 17007 grad_norm: 6.0766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2997 loss: 2.2997 2022/07/27 15:53:36 - mmengine - INFO - Epoch(train) [55][600/3757] lr: 7.9389e-03 eta: 2 days, 3:46:10 time: 0.3967 data_time: 0.0161 memory: 17007 grad_norm: 6.1830 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1176 loss: 2.1176 2022/07/27 15:53:44 - mmengine - INFO - Epoch(train) [55][620/3757] lr: 7.9389e-03 eta: 2 days, 3:46:02 time: 0.3918 data_time: 0.0138 memory: 17007 grad_norm: 6.2457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2679 loss: 2.2679 2022/07/27 15:53:52 - mmengine - INFO - Epoch(train) [55][640/3757] lr: 7.9389e-03 eta: 2 days, 3:45:54 time: 0.3966 data_time: 0.0154 memory: 17007 grad_norm: 5.8159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3351 loss: 2.3351 2022/07/27 15:53:59 - mmengine - INFO - Epoch(train) [55][660/3757] lr: 7.9389e-03 eta: 2 days, 3:45:46 time: 0.3954 data_time: 0.0139 memory: 17007 grad_norm: 6.0099 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4577 loss: 2.4577 2022/07/27 15:54:14 - mmengine - INFO - Epoch(train) [55][680/3757] lr: 7.9389e-03 eta: 2 days, 3:45:54 time: 0.7357 data_time: 0.3449 memory: 17007 grad_norm: 6.0326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2478 loss: 2.2478 2022/07/27 15:54:22 - mmengine - INFO - Epoch(train) [55][700/3757] lr: 7.9389e-03 eta: 2 days, 3:45:46 time: 0.3944 data_time: 0.0130 memory: 17007 grad_norm: 6.1171 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1933 loss: 2.1933 2022/07/27 15:54:30 - mmengine - INFO - Epoch(train) [55][720/3757] lr: 7.9389e-03 eta: 2 days, 3:45:38 time: 0.3985 data_time: 0.0164 memory: 17007 grad_norm: 6.3381 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1406 loss: 2.1406 2022/07/27 15:54:39 - mmengine - INFO - Epoch(train) [55][740/3757] lr: 7.9389e-03 eta: 2 days, 3:45:34 time: 0.4661 data_time: 0.0863 memory: 17007 grad_norm: 6.2637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4283 loss: 2.4283 2022/07/27 15:54:47 - mmengine - INFO - Epoch(train) [55][760/3757] lr: 7.9389e-03 eta: 2 days, 3:45:26 time: 0.3973 data_time: 0.0164 memory: 17007 grad_norm: 6.1331 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4557 loss: 2.4557 2022/07/27 15:55:01 - mmengine - INFO - Epoch(train) [55][780/3757] lr: 7.9389e-03 eta: 2 days, 3:45:32 time: 0.6945 data_time: 0.3161 memory: 17007 grad_norm: 5.8529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3187 loss: 2.3187 2022/07/27 15:55:09 - mmengine - INFO - Epoch(train) [55][800/3757] lr: 7.9389e-03 eta: 2 days, 3:45:24 time: 0.3933 data_time: 0.0149 memory: 17007 grad_norm: 6.0407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2682 loss: 2.2682 2022/07/27 15:55:22 - mmengine - INFO - Epoch(train) [55][820/3757] lr: 7.9389e-03 eta: 2 days, 3:45:29 time: 0.6572 data_time: 0.2785 memory: 17007 grad_norm: 6.1600 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3226 loss: 2.3226 2022/07/27 15:55:32 - mmengine - INFO - Epoch(train) [55][840/3757] lr: 7.9389e-03 eta: 2 days, 3:45:26 time: 0.5084 data_time: 0.1264 memory: 17007 grad_norm: 6.3035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3099 loss: 2.3099 2022/07/27 15:55:40 - mmengine - INFO - Epoch(train) [55][860/3757] lr: 7.9389e-03 eta: 2 days, 3:45:18 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 5.9274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5681 loss: 2.5681 2022/07/27 15:55:56 - mmengine - INFO - Epoch(train) [55][880/3757] lr: 7.9389e-03 eta: 2 days, 3:45:27 time: 0.7669 data_time: 0.3723 memory: 17007 grad_norm: 6.1254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3547 loss: 2.3547 2022/07/27 15:56:11 - mmengine - INFO - Epoch(train) [55][900/3757] lr: 7.9389e-03 eta: 2 days, 3:45:37 time: 0.7793 data_time: 0.4004 memory: 17007 grad_norm: 6.2266 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2997 loss: 2.2997 2022/07/27 15:56:23 - mmengine - INFO - Epoch(train) [55][920/3757] lr: 7.9389e-03 eta: 2 days, 3:45:39 time: 0.5960 data_time: 0.2149 memory: 17007 grad_norm: 6.1032 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4875 loss: 2.4875 2022/07/27 15:56:31 - mmengine - INFO - Epoch(train) [55][940/3757] lr: 7.9389e-03 eta: 2 days, 3:45:31 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 5.8550 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3013 loss: 2.3013 2022/07/27 15:56:41 - mmengine - INFO - Epoch(train) [55][960/3757] lr: 7.9389e-03 eta: 2 days, 3:45:28 time: 0.5057 data_time: 0.1179 memory: 17007 grad_norm: 6.1505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1712 loss: 2.1712 2022/07/27 15:56:49 - mmengine - INFO - Epoch(train) [55][980/3757] lr: 7.9389e-03 eta: 2 days, 3:45:20 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 6.2552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1526 loss: 2.1526 2022/07/27 15:57:06 - mmengine - INFO - Epoch(train) [55][1000/3757] lr: 7.9389e-03 eta: 2 days, 3:45:32 time: 0.8279 data_time: 0.4339 memory: 17007 grad_norm: 6.2046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0638 loss: 2.0638 2022/07/27 15:57:13 - mmengine - INFO - Epoch(train) [55][1020/3757] lr: 7.9389e-03 eta: 2 days, 3:45:24 time: 0.3920 data_time: 0.0149 memory: 17007 grad_norm: 6.1662 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4878 loss: 2.4878 2022/07/27 15:57:21 - mmengine - INFO - Epoch(train) [55][1040/3757] lr: 7.9389e-03 eta: 2 days, 3:45:17 time: 0.3962 data_time: 0.0151 memory: 17007 grad_norm: 6.1516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2062 loss: 2.2062 2022/07/27 15:57:29 - mmengine - INFO - Epoch(train) [55][1060/3757] lr: 7.9389e-03 eta: 2 days, 3:45:09 time: 0.3920 data_time: 0.0133 memory: 17007 grad_norm: 5.9859 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0798 loss: 2.0798 2022/07/27 15:57:37 - mmengine - INFO - Epoch(train) [55][1080/3757] lr: 7.9389e-03 eta: 2 days, 3:45:01 time: 0.4027 data_time: 0.0176 memory: 17007 grad_norm: 6.1873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0949 loss: 2.0949 2022/07/27 15:57:51 - mmengine - INFO - Epoch(train) [55][1100/3757] lr: 7.9389e-03 eta: 2 days, 3:45:06 time: 0.6694 data_time: 0.2914 memory: 17007 grad_norm: 6.0407 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5451 loss: 2.5451 2022/07/27 15:58:04 - mmengine - INFO - Epoch(train) [55][1120/3757] lr: 7.9389e-03 eta: 2 days, 3:45:11 time: 0.6778 data_time: 0.2857 memory: 17007 grad_norm: 6.2579 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6975 loss: 2.6975 2022/07/27 15:58:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 15:58:12 - mmengine - INFO - Epoch(train) [55][1140/3757] lr: 7.9389e-03 eta: 2 days, 3:45:03 time: 0.3911 data_time: 0.0145 memory: 17007 grad_norm: 6.2256 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3545 loss: 2.3545 2022/07/27 15:58:20 - mmengine - INFO - Epoch(train) [55][1160/3757] lr: 7.9389e-03 eta: 2 days, 3:44:56 time: 0.4043 data_time: 0.0178 memory: 17007 grad_norm: 6.0187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4603 loss: 2.4603 2022/07/27 15:58:29 - mmengine - INFO - Epoch(train) [55][1180/3757] lr: 7.9389e-03 eta: 2 days, 3:44:50 time: 0.4507 data_time: 0.0735 memory: 17007 grad_norm: 6.0575 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0132 loss: 2.0132 2022/07/27 15:58:40 - mmengine - INFO - Epoch(train) [55][1200/3757] lr: 7.9389e-03 eta: 2 days, 3:44:50 time: 0.5623 data_time: 0.1813 memory: 17007 grad_norm: 6.0232 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4148 loss: 2.4148 2022/07/27 15:58:48 - mmengine - INFO - Epoch(train) [55][1220/3757] lr: 7.9389e-03 eta: 2 days, 3:44:42 time: 0.3914 data_time: 0.0136 memory: 17007 grad_norm: 6.2969 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2890 loss: 2.2890 2022/07/27 15:58:59 - mmengine - INFO - Epoch(train) [55][1240/3757] lr: 7.9389e-03 eta: 2 days, 3:44:42 time: 0.5548 data_time: 0.1734 memory: 17007 grad_norm: 5.8595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2385 loss: 2.2385 2022/07/27 15:59:07 - mmengine - INFO - Epoch(train) [55][1260/3757] lr: 7.9389e-03 eta: 2 days, 3:44:34 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.1402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3005 loss: 2.3005 2022/07/27 15:59:19 - mmengine - INFO - Epoch(train) [55][1280/3757] lr: 7.9389e-03 eta: 2 days, 3:44:34 time: 0.5655 data_time: 0.1798 memory: 17007 grad_norm: 5.8288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1309 loss: 2.1309 2022/07/27 15:59:27 - mmengine - INFO - Epoch(train) [55][1300/3757] lr: 7.9389e-03 eta: 2 days, 3:44:28 time: 0.4322 data_time: 0.0547 memory: 17007 grad_norm: 6.2686 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2649 loss: 2.2649 2022/07/27 15:59:35 - mmengine - INFO - Epoch(train) [55][1320/3757] lr: 7.9389e-03 eta: 2 days, 3:44:20 time: 0.3918 data_time: 0.0153 memory: 17007 grad_norm: 6.2708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2118 loss: 2.2118 2022/07/27 15:59:43 - mmengine - INFO - Epoch(train) [55][1340/3757] lr: 7.9389e-03 eta: 2 days, 3:44:12 time: 0.3919 data_time: 0.0148 memory: 17007 grad_norm: 6.3551 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3430 loss: 2.3430 2022/07/27 15:59:51 - mmengine - INFO - Epoch(train) [55][1360/3757] lr: 7.9389e-03 eta: 2 days, 3:44:04 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 6.2541 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4276 loss: 2.4276 2022/07/27 16:00:11 - mmengine - INFO - Epoch(train) [55][1380/3757] lr: 7.9389e-03 eta: 2 days, 3:44:25 time: 1.0252 data_time: 0.6288 memory: 17007 grad_norm: 6.2624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4295 loss: 2.4295 2022/07/27 16:00:19 - mmengine - INFO - Epoch(train) [55][1400/3757] lr: 7.9389e-03 eta: 2 days, 3:44:17 time: 0.4002 data_time: 0.0155 memory: 17007 grad_norm: 6.1641 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1727 loss: 2.1727 2022/07/27 16:00:31 - mmengine - INFO - Epoch(train) [55][1420/3757] lr: 7.9389e-03 eta: 2 days, 3:44:18 time: 0.5820 data_time: 0.2038 memory: 17007 grad_norm: 5.9898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0379 loss: 2.0379 2022/07/27 16:00:39 - mmengine - INFO - Epoch(train) [55][1440/3757] lr: 7.9389e-03 eta: 2 days, 3:44:11 time: 0.4024 data_time: 0.0170 memory: 17007 grad_norm: 6.1574 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2711 loss: 2.2711 2022/07/27 16:00:47 - mmengine - INFO - Epoch(train) [55][1460/3757] lr: 7.9389e-03 eta: 2 days, 3:44:03 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 6.4013 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3840 loss: 2.3840 2022/07/27 16:00:58 - mmengine - INFO - Epoch(train) [55][1480/3757] lr: 7.9389e-03 eta: 2 days, 3:44:02 time: 0.5441 data_time: 0.1513 memory: 17007 grad_norm: 6.4779 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4761 loss: 2.4761 2022/07/27 16:01:06 - mmengine - INFO - Epoch(train) [55][1500/3757] lr: 7.9389e-03 eta: 2 days, 3:43:54 time: 0.3910 data_time: 0.0129 memory: 17007 grad_norm: 6.0376 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1074 loss: 2.1074 2022/07/27 16:01:13 - mmengine - INFO - Epoch(train) [55][1520/3757] lr: 7.9389e-03 eta: 2 days, 3:43:46 time: 0.3949 data_time: 0.0163 memory: 17007 grad_norm: 5.9718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5685 loss: 2.5685 2022/07/27 16:01:22 - mmengine - INFO - Epoch(train) [55][1540/3757] lr: 7.9389e-03 eta: 2 days, 3:43:40 time: 0.4484 data_time: 0.0690 memory: 17007 grad_norm: 6.1486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4957 loss: 2.4957 2022/07/27 16:01:30 - mmengine - INFO - Epoch(train) [55][1560/3757] lr: 7.9389e-03 eta: 2 days, 3:43:32 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 6.2281 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3736 loss: 2.3736 2022/07/27 16:01:38 - mmengine - INFO - Epoch(train) [55][1580/3757] lr: 7.9389e-03 eta: 2 days, 3:43:24 time: 0.3952 data_time: 0.0156 memory: 17007 grad_norm: 6.2332 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3533 loss: 2.3533 2022/07/27 16:01:46 - mmengine - INFO - Epoch(train) [55][1600/3757] lr: 7.9389e-03 eta: 2 days, 3:43:16 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 6.0430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5268 loss: 2.5268 2022/07/27 16:01:59 - mmengine - INFO - Epoch(train) [55][1620/3757] lr: 7.9389e-03 eta: 2 days, 3:43:21 time: 0.6708 data_time: 0.2814 memory: 17007 grad_norm: 6.1396 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.1519 loss: 2.1519 2022/07/27 16:02:07 - mmengine - INFO - Epoch(train) [55][1640/3757] lr: 7.9389e-03 eta: 2 days, 3:43:13 time: 0.3903 data_time: 0.0142 memory: 17007 grad_norm: 6.1538 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4344 loss: 2.4344 2022/07/27 16:02:15 - mmengine - INFO - Epoch(train) [55][1660/3757] lr: 7.9389e-03 eta: 2 days, 3:43:06 time: 0.4033 data_time: 0.0259 memory: 17007 grad_norm: 5.9735 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2041 loss: 2.2041 2022/07/27 16:02:23 - mmengine - INFO - Epoch(train) [55][1680/3757] lr: 7.9389e-03 eta: 2 days, 3:42:58 time: 0.4042 data_time: 0.0159 memory: 17007 grad_norm: 6.0218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2101 loss: 2.2101 2022/07/27 16:02:32 - mmengine - INFO - Epoch(train) [55][1700/3757] lr: 7.9389e-03 eta: 2 days, 3:42:52 time: 0.4216 data_time: 0.0450 memory: 17007 grad_norm: 6.1073 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3388 loss: 2.3388 2022/07/27 16:02:40 - mmengine - INFO - Epoch(train) [55][1720/3757] lr: 7.9389e-03 eta: 2 days, 3:42:44 time: 0.3989 data_time: 0.0149 memory: 17007 grad_norm: 6.0544 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1981 loss: 2.1981 2022/07/27 16:02:48 - mmengine - INFO - Epoch(train) [55][1740/3757] lr: 7.9389e-03 eta: 2 days, 3:42:36 time: 0.3922 data_time: 0.0156 memory: 17007 grad_norm: 6.1931 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2709 loss: 2.2709 2022/07/27 16:02:56 - mmengine - INFO - Epoch(train) [55][1760/3757] lr: 7.9389e-03 eta: 2 days, 3:42:28 time: 0.3988 data_time: 0.0152 memory: 17007 grad_norm: 5.9070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3223 loss: 2.3223 2022/07/27 16:03:04 - mmengine - INFO - Epoch(train) [55][1780/3757] lr: 7.9389e-03 eta: 2 days, 3:42:20 time: 0.3937 data_time: 0.0162 memory: 17007 grad_norm: 6.1305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6760 loss: 2.6760 2022/07/27 16:03:11 - mmengine - INFO - Epoch(train) [55][1800/3757] lr: 7.9389e-03 eta: 2 days, 3:42:12 time: 0.3915 data_time: 0.0139 memory: 17007 grad_norm: 6.0634 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2209 loss: 2.2209 2022/07/27 16:03:19 - mmengine - INFO - Epoch(train) [55][1820/3757] lr: 7.9389e-03 eta: 2 days, 3:42:04 time: 0.3965 data_time: 0.0200 memory: 17007 grad_norm: 6.2654 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6124 loss: 2.6124 2022/07/27 16:03:27 - mmengine - INFO - Epoch(train) [55][1840/3757] lr: 7.9389e-03 eta: 2 days, 3:41:56 time: 0.3915 data_time: 0.0149 memory: 17007 grad_norm: 5.7194 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0435 loss: 2.0435 2022/07/27 16:03:40 - mmengine - INFO - Epoch(train) [55][1860/3757] lr: 7.9389e-03 eta: 2 days, 3:42:00 time: 0.6360 data_time: 0.2509 memory: 17007 grad_norm: 6.1464 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1551 loss: 2.1551 2022/07/27 16:03:48 - mmengine - INFO - Epoch(train) [55][1880/3757] lr: 7.9389e-03 eta: 2 days, 3:41:51 time: 0.3922 data_time: 0.0137 memory: 17007 grad_norm: 6.1680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4367 loss: 2.4367 2022/07/27 16:03:56 - mmengine - INFO - Epoch(train) [55][1900/3757] lr: 7.9389e-03 eta: 2 days, 3:41:44 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 6.2157 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2100 loss: 2.2100 2022/07/27 16:04:04 - mmengine - INFO - Epoch(train) [55][1920/3757] lr: 7.9389e-03 eta: 2 days, 3:41:36 time: 0.3954 data_time: 0.0146 memory: 17007 grad_norm: 5.9184 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1913 loss: 2.1913 2022/07/27 16:04:11 - mmengine - INFO - Epoch(train) [55][1940/3757] lr: 7.9389e-03 eta: 2 days, 3:41:28 time: 0.3951 data_time: 0.0166 memory: 17007 grad_norm: 6.3012 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6405 loss: 2.6405 2022/07/27 16:04:19 - mmengine - INFO - Epoch(train) [55][1960/3757] lr: 7.9389e-03 eta: 2 days, 3:41:20 time: 0.3958 data_time: 0.0142 memory: 17007 grad_norm: 6.0534 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1824 loss: 2.1824 2022/07/27 16:04:27 - mmengine - INFO - Epoch(train) [55][1980/3757] lr: 7.9389e-03 eta: 2 days, 3:41:12 time: 0.3961 data_time: 0.0186 memory: 17007 grad_norm: 6.2136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2657 loss: 2.2657 2022/07/27 16:04:38 - mmengine - INFO - Epoch(train) [55][2000/3757] lr: 7.9389e-03 eta: 2 days, 3:41:11 time: 0.5461 data_time: 0.1687 memory: 17007 grad_norm: 6.3479 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4138 loss: 2.4138 2022/07/27 16:04:47 - mmengine - INFO - Epoch(train) [55][2020/3757] lr: 7.9389e-03 eta: 2 days, 3:41:06 time: 0.4623 data_time: 0.0850 memory: 17007 grad_norm: 6.0990 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3673 loss: 2.3673 2022/07/27 16:04:55 - mmengine - INFO - Epoch(train) [55][2040/3757] lr: 7.9389e-03 eta: 2 days, 3:40:58 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 6.0630 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1444 loss: 2.1444 2022/07/27 16:05:03 - mmengine - INFO - Epoch(train) [55][2060/3757] lr: 7.9389e-03 eta: 2 days, 3:40:51 time: 0.3952 data_time: 0.0149 memory: 17007 grad_norm: 6.0687 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1608 loss: 2.1608 2022/07/27 16:05:11 - mmengine - INFO - Epoch(train) [55][2080/3757] lr: 7.9389e-03 eta: 2 days, 3:40:43 time: 0.3978 data_time: 0.0176 memory: 17007 grad_norm: 6.0238 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3038 loss: 2.3038 2022/07/27 16:05:19 - mmengine - INFO - Epoch(train) [55][2100/3757] lr: 7.9389e-03 eta: 2 days, 3:40:35 time: 0.3941 data_time: 0.0129 memory: 17007 grad_norm: 6.1436 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4278 loss: 2.4278 2022/07/27 16:05:27 - mmengine - INFO - Epoch(train) [55][2120/3757] lr: 7.9389e-03 eta: 2 days, 3:40:27 time: 0.3953 data_time: 0.0166 memory: 17007 grad_norm: 6.3713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7505 loss: 2.7505 2022/07/27 16:05:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:05:35 - mmengine - INFO - Epoch(train) [55][2140/3757] lr: 7.9389e-03 eta: 2 days, 3:40:19 time: 0.3948 data_time: 0.0184 memory: 17007 grad_norm: 6.1899 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4487 loss: 2.4487 2022/07/27 16:05:43 - mmengine - INFO - Epoch(train) [55][2160/3757] lr: 7.9389e-03 eta: 2 days, 3:40:12 time: 0.4045 data_time: 0.0161 memory: 17007 grad_norm: 6.2976 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3713 loss: 2.3713 2022/07/27 16:05:51 - mmengine - INFO - Epoch(train) [55][2180/3757] lr: 7.9389e-03 eta: 2 days, 3:40:04 time: 0.3923 data_time: 0.0149 memory: 17007 grad_norm: 6.3879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2343 loss: 2.2343 2022/07/27 16:05:59 - mmengine - INFO - Epoch(train) [55][2200/3757] lr: 7.9389e-03 eta: 2 days, 3:39:56 time: 0.3945 data_time: 0.0163 memory: 17007 grad_norm: 6.3893 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2644 loss: 2.2644 2022/07/27 16:06:07 - mmengine - INFO - Epoch(train) [55][2220/3757] lr: 7.9389e-03 eta: 2 days, 3:39:48 time: 0.3901 data_time: 0.0136 memory: 17007 grad_norm: 6.3238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5270 loss: 2.5270 2022/07/27 16:06:21 - mmengine - INFO - Epoch(train) [55][2240/3757] lr: 7.9389e-03 eta: 2 days, 3:39:55 time: 0.7175 data_time: 0.3338 memory: 17007 grad_norm: 6.2861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4355 loss: 2.4355 2022/07/27 16:06:29 - mmengine - INFO - Epoch(train) [55][2260/3757] lr: 7.9389e-03 eta: 2 days, 3:39:48 time: 0.4157 data_time: 0.0216 memory: 17007 grad_norm: 6.1853 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7688 loss: 2.7688 2022/07/27 16:06:37 - mmengine - INFO - Epoch(train) [55][2280/3757] lr: 7.9389e-03 eta: 2 days, 3:39:40 time: 0.3960 data_time: 0.0165 memory: 17007 grad_norm: 6.1311 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5052 loss: 2.5052 2022/07/27 16:06:45 - mmengine - INFO - Epoch(train) [55][2300/3757] lr: 7.9389e-03 eta: 2 days, 3:39:32 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 6.0340 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0584 loss: 2.0584 2022/07/27 16:06:53 - mmengine - INFO - Epoch(train) [55][2320/3757] lr: 7.9389e-03 eta: 2 days, 3:39:24 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 6.2178 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3196 loss: 2.3196 2022/07/27 16:07:01 - mmengine - INFO - Epoch(train) [55][2340/3757] lr: 7.9389e-03 eta: 2 days, 3:39:16 time: 0.3933 data_time: 0.0140 memory: 17007 grad_norm: 6.2198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4991 loss: 2.4991 2022/07/27 16:07:17 - mmengine - INFO - Epoch(train) [55][2360/3757] lr: 7.9389e-03 eta: 2 days, 3:39:27 time: 0.8040 data_time: 0.4024 memory: 17007 grad_norm: 6.1689 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4395 loss: 2.4395 2022/07/27 16:07:25 - mmengine - INFO - Epoch(train) [55][2380/3757] lr: 7.9389e-03 eta: 2 days, 3:39:19 time: 0.3914 data_time: 0.0138 memory: 17007 grad_norm: 6.0118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2306 loss: 2.2306 2022/07/27 16:07:33 - mmengine - INFO - Epoch(train) [55][2400/3757] lr: 7.9389e-03 eta: 2 days, 3:39:11 time: 0.3969 data_time: 0.0159 memory: 17007 grad_norm: 6.2219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5127 loss: 2.5127 2022/07/27 16:07:40 - mmengine - INFO - Epoch(train) [55][2420/3757] lr: 7.9389e-03 eta: 2 days, 3:39:03 time: 0.3922 data_time: 0.0134 memory: 17007 grad_norm: 6.2308 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2127 loss: 2.2127 2022/07/27 16:07:48 - mmengine - INFO - Epoch(train) [55][2440/3757] lr: 7.9389e-03 eta: 2 days, 3:38:55 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 6.1545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2325 loss: 2.2325 2022/07/27 16:08:00 - mmengine - INFO - Epoch(train) [55][2460/3757] lr: 7.9389e-03 eta: 2 days, 3:38:56 time: 0.6021 data_time: 0.2239 memory: 17007 grad_norm: 6.4091 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3936 loss: 2.3936 2022/07/27 16:08:08 - mmengine - INFO - Epoch(train) [55][2480/3757] lr: 7.9389e-03 eta: 2 days, 3:38:48 time: 0.3926 data_time: 0.0134 memory: 17007 grad_norm: 6.3391 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4191 loss: 2.4191 2022/07/27 16:08:21 - mmengine - INFO - Epoch(train) [55][2500/3757] lr: 7.9389e-03 eta: 2 days, 3:38:51 time: 0.6255 data_time: 0.2489 memory: 17007 grad_norm: 6.1708 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5467 loss: 2.5467 2022/07/27 16:08:30 - mmengine - INFO - Epoch(train) [55][2520/3757] lr: 7.9389e-03 eta: 2 days, 3:38:46 time: 0.4530 data_time: 0.0129 memory: 17007 grad_norm: 6.2909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3010 loss: 2.3010 2022/07/27 16:08:38 - mmengine - INFO - Epoch(train) [55][2540/3757] lr: 7.9389e-03 eta: 2 days, 3:38:39 time: 0.4149 data_time: 0.0164 memory: 17007 grad_norm: 6.3952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3320 loss: 2.3320 2022/07/27 16:08:48 - mmengine - INFO - Epoch(train) [55][2560/3757] lr: 7.9389e-03 eta: 2 days, 3:38:36 time: 0.5027 data_time: 0.1209 memory: 17007 grad_norm: 6.2241 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1927 loss: 2.1927 2022/07/27 16:08:56 - mmengine - INFO - Epoch(train) [55][2580/3757] lr: 7.9389e-03 eta: 2 days, 3:38:28 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 6.0326 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0667 loss: 2.0667 2022/07/27 16:09:04 - mmengine - INFO - Epoch(train) [55][2600/3757] lr: 7.9389e-03 eta: 2 days, 3:38:20 time: 0.3980 data_time: 0.0145 memory: 17007 grad_norm: 6.1625 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6686 loss: 2.6686 2022/07/27 16:09:12 - mmengine - INFO - Epoch(train) [55][2620/3757] lr: 7.9389e-03 eta: 2 days, 3:38:12 time: 0.3949 data_time: 0.0167 memory: 17007 grad_norm: 6.3903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2383 loss: 2.2383 2022/07/27 16:09:20 - mmengine - INFO - Epoch(train) [55][2640/3757] lr: 7.9389e-03 eta: 2 days, 3:38:04 time: 0.3939 data_time: 0.0136 memory: 17007 grad_norm: 6.2171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2979 loss: 2.2979 2022/07/27 16:09:28 - mmengine - INFO - Epoch(train) [55][2660/3757] lr: 7.9389e-03 eta: 2 days, 3:37:57 time: 0.3971 data_time: 0.0165 memory: 17007 grad_norm: 6.2704 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4429 loss: 2.4429 2022/07/27 16:09:36 - mmengine - INFO - Epoch(train) [55][2680/3757] lr: 7.9389e-03 eta: 2 days, 3:37:49 time: 0.4060 data_time: 0.0139 memory: 17007 grad_norm: 6.1798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5905 loss: 2.5905 2022/07/27 16:09:44 - mmengine - INFO - Epoch(train) [55][2700/3757] lr: 7.9389e-03 eta: 2 days, 3:37:41 time: 0.3928 data_time: 0.0158 memory: 17007 grad_norm: 6.4912 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4677 loss: 2.4677 2022/07/27 16:09:52 - mmengine - INFO - Epoch(train) [55][2720/3757] lr: 7.9389e-03 eta: 2 days, 3:37:33 time: 0.3975 data_time: 0.0145 memory: 17007 grad_norm: 6.2553 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4108 loss: 2.4108 2022/07/27 16:10:00 - mmengine - INFO - Epoch(train) [55][2740/3757] lr: 7.9389e-03 eta: 2 days, 3:37:25 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 6.2463 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0347 loss: 2.0347 2022/07/27 16:10:15 - mmengine - INFO - Epoch(train) [55][2760/3757] lr: 7.9389e-03 eta: 2 days, 3:37:36 time: 0.7935 data_time: 0.3986 memory: 17007 grad_norm: 6.3081 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1237 loss: 2.1237 2022/07/27 16:10:23 - mmengine - INFO - Epoch(train) [55][2780/3757] lr: 7.9389e-03 eta: 2 days, 3:37:28 time: 0.3922 data_time: 0.0145 memory: 17007 grad_norm: 5.9224 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2238 loss: 2.2238 2022/07/27 16:10:31 - mmengine - INFO - Epoch(train) [55][2800/3757] lr: 7.9389e-03 eta: 2 days, 3:37:20 time: 0.4007 data_time: 0.0162 memory: 17007 grad_norm: 6.1555 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1862 loss: 2.1862 2022/07/27 16:10:39 - mmengine - INFO - Epoch(train) [55][2820/3757] lr: 7.9389e-03 eta: 2 days, 3:37:13 time: 0.4050 data_time: 0.0148 memory: 17007 grad_norm: 6.2265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0179 loss: 2.0179 2022/07/27 16:10:47 - mmengine - INFO - Epoch(train) [55][2840/3757] lr: 7.9389e-03 eta: 2 days, 3:37:05 time: 0.3961 data_time: 0.0170 memory: 17007 grad_norm: 6.2634 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6090 loss: 2.6090 2022/07/27 16:10:55 - mmengine - INFO - Epoch(train) [55][2860/3757] lr: 7.9389e-03 eta: 2 days, 3:36:57 time: 0.3912 data_time: 0.0136 memory: 17007 grad_norm: 6.4141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2930 loss: 2.2930 2022/07/27 16:11:03 - mmengine - INFO - Epoch(train) [55][2880/3757] lr: 7.9389e-03 eta: 2 days, 3:36:49 time: 0.3947 data_time: 0.0164 memory: 17007 grad_norm: 6.5586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1987 loss: 2.1987 2022/07/27 16:11:11 - mmengine - INFO - Epoch(train) [55][2900/3757] lr: 7.9389e-03 eta: 2 days, 3:36:41 time: 0.3920 data_time: 0.0139 memory: 17007 grad_norm: 6.3461 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1925 loss: 2.1925 2022/07/27 16:11:19 - mmengine - INFO - Epoch(train) [55][2920/3757] lr: 7.9389e-03 eta: 2 days, 3:36:33 time: 0.3987 data_time: 0.0172 memory: 17007 grad_norm: 6.1230 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4719 loss: 2.4719 2022/07/27 16:11:27 - mmengine - INFO - Epoch(train) [55][2940/3757] lr: 7.9389e-03 eta: 2 days, 3:36:25 time: 0.3910 data_time: 0.0128 memory: 17007 grad_norm: 6.2553 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3482 loss: 2.3482 2022/07/27 16:11:35 - mmengine - INFO - Epoch(train) [55][2960/3757] lr: 7.9389e-03 eta: 2 days, 3:36:17 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 6.1038 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3132 loss: 2.3132 2022/07/27 16:11:43 - mmengine - INFO - Epoch(train) [55][2980/3757] lr: 7.9389e-03 eta: 2 days, 3:36:09 time: 0.3982 data_time: 0.0140 memory: 17007 grad_norm: 6.0907 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2028 loss: 2.2028 2022/07/27 16:11:50 - mmengine - INFO - Epoch(train) [55][3000/3757] lr: 7.9389e-03 eta: 2 days, 3:36:01 time: 0.3939 data_time: 0.0161 memory: 17007 grad_norm: 6.0189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2300 loss: 2.2300 2022/07/27 16:11:58 - mmengine - INFO - Epoch(train) [55][3020/3757] lr: 7.9389e-03 eta: 2 days, 3:35:54 time: 0.4014 data_time: 0.0147 memory: 17007 grad_norm: 5.9289 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6882 loss: 2.6882 2022/07/27 16:12:10 - mmengine - INFO - Epoch(train) [55][3040/3757] lr: 7.9389e-03 eta: 2 days, 3:35:54 time: 0.5688 data_time: 0.1890 memory: 17007 grad_norm: 6.0335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1455 loss: 2.1455 2022/07/27 16:12:18 - mmengine - INFO - Epoch(train) [55][3060/3757] lr: 7.9389e-03 eta: 2 days, 3:35:46 time: 0.3990 data_time: 0.0131 memory: 17007 grad_norm: 6.0768 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1964 loss: 2.1964 2022/07/27 16:12:27 - mmengine - INFO - Epoch(train) [55][3080/3757] lr: 7.9389e-03 eta: 2 days, 3:35:40 time: 0.4388 data_time: 0.0609 memory: 17007 grad_norm: 6.2621 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3521 loss: 2.3521 2022/07/27 16:12:34 - mmengine - INFO - Epoch(train) [55][3100/3757] lr: 7.9389e-03 eta: 2 days, 3:35:32 time: 0.3944 data_time: 0.0138 memory: 17007 grad_norm: 5.7687 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0601 loss: 2.0601 2022/07/27 16:12:42 - mmengine - INFO - Epoch(train) [55][3120/3757] lr: 7.9389e-03 eta: 2 days, 3:35:24 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 6.1220 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3534 loss: 2.3534 2022/07/27 16:12:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:12:50 - mmengine - INFO - Epoch(train) [55][3140/3757] lr: 7.9389e-03 eta: 2 days, 3:35:16 time: 0.3937 data_time: 0.0145 memory: 17007 grad_norm: 6.1649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5648 loss: 2.5648 2022/07/27 16:12:58 - mmengine - INFO - Epoch(train) [55][3160/3757] lr: 7.9389e-03 eta: 2 days, 3:35:08 time: 0.3943 data_time: 0.0174 memory: 17007 grad_norm: 6.2881 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1858 loss: 2.1858 2022/07/27 16:13:06 - mmengine - INFO - Epoch(train) [55][3180/3757] lr: 7.9389e-03 eta: 2 days, 3:35:00 time: 0.3912 data_time: 0.0137 memory: 17007 grad_norm: 6.2602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5368 loss: 2.5368 2022/07/27 16:13:14 - mmengine - INFO - Epoch(train) [55][3200/3757] lr: 7.9389e-03 eta: 2 days, 3:34:52 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.2129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3946 loss: 2.3946 2022/07/27 16:13:22 - mmengine - INFO - Epoch(train) [55][3220/3757] lr: 7.9389e-03 eta: 2 days, 3:34:44 time: 0.3935 data_time: 0.0131 memory: 17007 grad_norm: 5.9133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3426 loss: 2.3426 2022/07/27 16:13:30 - mmengine - INFO - Epoch(train) [55][3240/3757] lr: 7.9389e-03 eta: 2 days, 3:34:37 time: 0.3959 data_time: 0.0153 memory: 17007 grad_norm: 5.9073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3846 loss: 2.3846 2022/07/27 16:13:38 - mmengine - INFO - Epoch(train) [55][3260/3757] lr: 7.9389e-03 eta: 2 days, 3:34:29 time: 0.3939 data_time: 0.0149 memory: 17007 grad_norm: 5.9140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3747 loss: 2.3747 2022/07/27 16:13:45 - mmengine - INFO - Epoch(train) [55][3280/3757] lr: 7.9389e-03 eta: 2 days, 3:34:21 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 6.1858 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2265 loss: 2.2265 2022/07/27 16:13:53 - mmengine - INFO - Epoch(train) [55][3300/3757] lr: 7.9389e-03 eta: 2 days, 3:34:13 time: 0.3918 data_time: 0.0127 memory: 17007 grad_norm: 6.0275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0497 loss: 2.0497 2022/07/27 16:14:01 - mmengine - INFO - Epoch(train) [55][3320/3757] lr: 7.9389e-03 eta: 2 days, 3:34:05 time: 0.3950 data_time: 0.0176 memory: 17007 grad_norm: 6.1130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3579 loss: 2.3579 2022/07/27 16:14:09 - mmengine - INFO - Epoch(train) [55][3340/3757] lr: 7.9389e-03 eta: 2 days, 3:33:57 time: 0.3950 data_time: 0.0154 memory: 17007 grad_norm: 6.2046 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3626 loss: 2.3626 2022/07/27 16:14:17 - mmengine - INFO - Epoch(train) [55][3360/3757] lr: 7.9389e-03 eta: 2 days, 3:33:49 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 6.2633 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2135 loss: 2.2135 2022/07/27 16:14:25 - mmengine - INFO - Epoch(train) [55][3380/3757] lr: 7.9389e-03 eta: 2 days, 3:33:42 time: 0.4150 data_time: 0.0374 memory: 17007 grad_norm: 6.1998 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3260 loss: 2.3260 2022/07/27 16:14:33 - mmengine - INFO - Epoch(train) [55][3400/3757] lr: 7.9389e-03 eta: 2 days, 3:33:34 time: 0.3937 data_time: 0.0155 memory: 17007 grad_norm: 6.1042 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3553 loss: 2.3553 2022/07/27 16:14:45 - mmengine - INFO - Epoch(train) [55][3420/3757] lr: 7.9389e-03 eta: 2 days, 3:33:35 time: 0.5943 data_time: 0.2071 memory: 17007 grad_norm: 5.8857 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2146 loss: 2.2146 2022/07/27 16:14:53 - mmengine - INFO - Epoch(train) [55][3440/3757] lr: 7.9389e-03 eta: 2 days, 3:33:27 time: 0.3958 data_time: 0.0150 memory: 17007 grad_norm: 6.2873 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3178 loss: 2.3178 2022/07/27 16:15:01 - mmengine - INFO - Epoch(train) [55][3460/3757] lr: 7.9389e-03 eta: 2 days, 3:33:19 time: 0.3977 data_time: 0.0164 memory: 17007 grad_norm: 6.2033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4140 loss: 2.4140 2022/07/27 16:15:11 - mmengine - INFO - Epoch(train) [55][3480/3757] lr: 7.9389e-03 eta: 2 days, 3:33:17 time: 0.5191 data_time: 0.1409 memory: 17007 grad_norm: 6.1415 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1642 loss: 2.1642 2022/07/27 16:15:19 - mmengine - INFO - Epoch(train) [55][3500/3757] lr: 7.9389e-03 eta: 2 days, 3:33:09 time: 0.3933 data_time: 0.0133 memory: 17007 grad_norm: 6.0915 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3209 loss: 2.3209 2022/07/27 16:15:35 - mmengine - INFO - Epoch(train) [55][3520/3757] lr: 7.9389e-03 eta: 2 days, 3:33:20 time: 0.8136 data_time: 0.4152 memory: 17007 grad_norm: 6.1589 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5571 loss: 2.5571 2022/07/27 16:15:43 - mmengine - INFO - Epoch(train) [55][3540/3757] lr: 7.9389e-03 eta: 2 days, 3:33:12 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 6.1118 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1165 loss: 2.1165 2022/07/27 16:15:51 - mmengine - INFO - Epoch(train) [55][3560/3757] lr: 7.9389e-03 eta: 2 days, 3:33:04 time: 0.3930 data_time: 0.0153 memory: 17007 grad_norm: 6.1001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4096 loss: 2.4096 2022/07/27 16:16:03 - mmengine - INFO - Epoch(train) [55][3580/3757] lr: 7.9389e-03 eta: 2 days, 3:33:05 time: 0.5778 data_time: 0.1979 memory: 17007 grad_norm: 6.1946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4217 loss: 2.4217 2022/07/27 16:16:13 - mmengine - INFO - Epoch(train) [55][3600/3757] lr: 7.9389e-03 eta: 2 days, 3:33:03 time: 0.5367 data_time: 0.1582 memory: 17007 grad_norm: 6.1179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4804 loss: 2.4804 2022/07/27 16:16:21 - mmengine - INFO - Epoch(train) [55][3620/3757] lr: 7.9389e-03 eta: 2 days, 3:32:56 time: 0.3965 data_time: 0.0163 memory: 17007 grad_norm: 6.1270 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0789 loss: 2.0789 2022/07/27 16:16:29 - mmengine - INFO - Epoch(train) [55][3640/3757] lr: 7.9389e-03 eta: 2 days, 3:32:48 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 6.2238 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3131 loss: 2.3131 2022/07/27 16:16:37 - mmengine - INFO - Epoch(train) [55][3660/3757] lr: 7.9389e-03 eta: 2 days, 3:32:40 time: 0.3925 data_time: 0.0131 memory: 17007 grad_norm: 6.3206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4638 loss: 2.4638 2022/07/27 16:16:45 - mmengine - INFO - Epoch(train) [55][3680/3757] lr: 7.9389e-03 eta: 2 days, 3:32:32 time: 0.3935 data_time: 0.0172 memory: 17007 grad_norm: 6.2959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4118 loss: 2.4118 2022/07/27 16:16:53 - mmengine - INFO - Epoch(train) [55][3700/3757] lr: 7.9389e-03 eta: 2 days, 3:32:24 time: 0.3924 data_time: 0.0127 memory: 17007 grad_norm: 6.2051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4089 loss: 2.4089 2022/07/27 16:17:01 - mmengine - INFO - Epoch(train) [55][3720/3757] lr: 7.9389e-03 eta: 2 days, 3:32:16 time: 0.3990 data_time: 0.0199 memory: 17007 grad_norm: 6.1103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6345 loss: 2.6345 2022/07/27 16:17:09 - mmengine - INFO - Epoch(train) [55][3740/3757] lr: 7.9389e-03 eta: 2 days, 3:32:08 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 6.1477 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3304 loss: 2.3304 2022/07/27 16:17:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:17:18 - mmengine - INFO - Epoch(train) [55][3757/3757] lr: 7.9389e-03 eta: 2 days, 3:32:08 time: 0.3886 data_time: 0.0154 memory: 17007 grad_norm: 6.1859 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.2706 loss: 2.2706 2022/07/27 16:17:18 - mmengine - INFO - Saving checkpoint at 55 epochs 2022/07/27 16:17:29 - mmengine - INFO - Epoch(train) [56][20/3757] lr: 7.8679e-03 eta: 2 days, 3:31:40 time: 0.4411 data_time: 0.0589 memory: 17007 grad_norm: 6.1309 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3447 loss: 2.3447 2022/07/27 16:17:37 - mmengine - INFO - Epoch(train) [56][40/3757] lr: 7.8679e-03 eta: 2 days, 3:31:32 time: 0.3916 data_time: 0.0144 memory: 17007 grad_norm: 5.9399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2975 loss: 2.2975 2022/07/27 16:17:46 - mmengine - INFO - Epoch(train) [56][60/3757] lr: 7.8679e-03 eta: 2 days, 3:31:27 time: 0.4661 data_time: 0.0170 memory: 17007 grad_norm: 5.9961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3116 loss: 2.3116 2022/07/27 16:17:54 - mmengine - INFO - Epoch(train) [56][80/3757] lr: 7.8679e-03 eta: 2 days, 3:31:20 time: 0.4170 data_time: 0.0153 memory: 17007 grad_norm: 5.9793 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3698 loss: 2.3698 2022/07/27 16:18:02 - mmengine - INFO - Epoch(train) [56][100/3757] lr: 7.8679e-03 eta: 2 days, 3:31:13 time: 0.3975 data_time: 0.0187 memory: 17007 grad_norm: 6.0143 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2743 loss: 2.2743 2022/07/27 16:18:10 - mmengine - INFO - Epoch(train) [56][120/3757] lr: 7.8679e-03 eta: 2 days, 3:31:05 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 6.2775 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.4462 loss: 2.4462 2022/07/27 16:18:18 - mmengine - INFO - Epoch(train) [56][140/3757] lr: 7.8679e-03 eta: 2 days, 3:30:57 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 6.1598 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4980 loss: 2.4980 2022/07/27 16:18:32 - mmengine - INFO - Epoch(train) [56][160/3757] lr: 7.8679e-03 eta: 2 days, 3:31:03 time: 0.6963 data_time: 0.3127 memory: 17007 grad_norm: 6.1979 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6238 loss: 2.6238 2022/07/27 16:18:43 - mmengine - INFO - Epoch(train) [56][180/3757] lr: 7.8679e-03 eta: 2 days, 3:31:00 time: 0.5216 data_time: 0.1435 memory: 17007 grad_norm: 8.5394 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1998 loss: 2.1998 2022/07/27 16:18:58 - mmengine - INFO - Epoch(train) [56][200/3757] lr: 7.8679e-03 eta: 2 days, 3:31:09 time: 0.7602 data_time: 0.3672 memory: 17007 grad_norm: 6.3105 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7271 loss: 2.7271 2022/07/27 16:19:06 - mmengine - INFO - Epoch(train) [56][220/3757] lr: 7.8679e-03 eta: 2 days, 3:31:01 time: 0.3919 data_time: 0.0145 memory: 17007 grad_norm: 6.2941 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4391 loss: 2.4391 2022/07/27 16:19:14 - mmengine - INFO - Epoch(train) [56][240/3757] lr: 7.8679e-03 eta: 2 days, 3:30:53 time: 0.4012 data_time: 0.0179 memory: 17007 grad_norm: 6.4079 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6306 loss: 2.6306 2022/07/27 16:19:21 - mmengine - INFO - Epoch(train) [56][260/3757] lr: 7.8679e-03 eta: 2 days, 3:30:45 time: 0.3912 data_time: 0.0125 memory: 17007 grad_norm: 6.1549 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5712 loss: 2.5712 2022/07/27 16:19:30 - mmengine - INFO - Epoch(train) [56][280/3757] lr: 7.8679e-03 eta: 2 days, 3:30:38 time: 0.4033 data_time: 0.0163 memory: 17007 grad_norm: 6.0080 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3778 loss: 2.3778 2022/07/27 16:19:37 - mmengine - INFO - Epoch(train) [56][300/3757] lr: 7.8679e-03 eta: 2 days, 3:30:30 time: 0.3909 data_time: 0.0127 memory: 17007 grad_norm: 6.3598 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5508 loss: 2.5508 2022/07/27 16:19:45 - mmengine - INFO - Epoch(train) [56][320/3757] lr: 7.8679e-03 eta: 2 days, 3:30:22 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 6.0648 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0310 loss: 2.0310 2022/07/27 16:19:58 - mmengine - INFO - Epoch(train) [56][340/3757] lr: 7.8679e-03 eta: 2 days, 3:30:24 time: 0.6167 data_time: 0.2075 memory: 17007 grad_norm: 6.2764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5445 loss: 2.5445 2022/07/27 16:20:05 - mmengine - INFO - Epoch(train) [56][360/3757] lr: 7.8679e-03 eta: 2 days, 3:30:16 time: 0.3914 data_time: 0.0144 memory: 17007 grad_norm: 6.1766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0737 loss: 2.0737 2022/07/27 16:20:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:20:13 - mmengine - INFO - Epoch(train) [56][380/3757] lr: 7.8679e-03 eta: 2 days, 3:30:08 time: 0.3971 data_time: 0.0165 memory: 17007 grad_norm: 6.2857 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2337 loss: 2.2337 2022/07/27 16:20:21 - mmengine - INFO - Epoch(train) [56][400/3757] lr: 7.8679e-03 eta: 2 days, 3:30:00 time: 0.3961 data_time: 0.0143 memory: 17007 grad_norm: 6.3519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3941 loss: 2.3941 2022/07/27 16:20:29 - mmengine - INFO - Epoch(train) [56][420/3757] lr: 7.8679e-03 eta: 2 days, 3:29:53 time: 0.4004 data_time: 0.0164 memory: 17007 grad_norm: 6.2947 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2710 loss: 2.2710 2022/07/27 16:20:37 - mmengine - INFO - Epoch(train) [56][440/3757] lr: 7.8679e-03 eta: 2 days, 3:29:44 time: 0.3918 data_time: 0.0137 memory: 17007 grad_norm: 6.1614 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3003 loss: 2.3003 2022/07/27 16:20:45 - mmengine - INFO - Epoch(train) [56][460/3757] lr: 7.8679e-03 eta: 2 days, 3:29:37 time: 0.3965 data_time: 0.0167 memory: 17007 grad_norm: 6.2027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4022 loss: 2.4022 2022/07/27 16:21:08 - mmengine - INFO - Epoch(train) [56][480/3757] lr: 7.8679e-03 eta: 2 days, 3:30:03 time: 1.1609 data_time: 0.7665 memory: 17007 grad_norm: 6.1890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4335 loss: 2.4335 2022/07/27 16:21:16 - mmengine - INFO - Epoch(train) [56][500/3757] lr: 7.8679e-03 eta: 2 days, 3:29:56 time: 0.3954 data_time: 0.0141 memory: 17007 grad_norm: 6.0881 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1904 loss: 2.1904 2022/07/27 16:21:24 - mmengine - INFO - Epoch(train) [56][520/3757] lr: 7.8679e-03 eta: 2 days, 3:29:47 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 6.2851 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4363 loss: 2.4363 2022/07/27 16:21:36 - mmengine - INFO - Epoch(train) [56][540/3757] lr: 7.8679e-03 eta: 2 days, 3:29:48 time: 0.5910 data_time: 0.0153 memory: 17007 grad_norm: 6.1497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3796 loss: 2.3796 2022/07/27 16:21:44 - mmengine - INFO - Epoch(train) [56][560/3757] lr: 7.8679e-03 eta: 2 days, 3:29:40 time: 0.3933 data_time: 0.0162 memory: 17007 grad_norm: 5.9478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0930 loss: 2.0930 2022/07/27 16:21:52 - mmengine - INFO - Epoch(train) [56][580/3757] lr: 7.8679e-03 eta: 2 days, 3:29:32 time: 0.3938 data_time: 0.0148 memory: 17007 grad_norm: 5.9836 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5612 loss: 2.5612 2022/07/27 16:22:12 - mmengine - INFO - Epoch(train) [56][600/3757] lr: 7.8679e-03 eta: 2 days, 3:29:52 time: 1.0006 data_time: 0.6216 memory: 17007 grad_norm: 6.0920 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2070 loss: 2.2070 2022/07/27 16:22:20 - mmengine - INFO - Epoch(train) [56][620/3757] lr: 7.8679e-03 eta: 2 days, 3:29:44 time: 0.3942 data_time: 0.0132 memory: 17007 grad_norm: 6.0065 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1180 loss: 2.1180 2022/07/27 16:22:27 - mmengine - INFO - Epoch(train) [56][640/3757] lr: 7.8679e-03 eta: 2 days, 3:29:36 time: 0.3922 data_time: 0.0157 memory: 17007 grad_norm: 6.2167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2745 loss: 2.2745 2022/07/27 16:22:35 - mmengine - INFO - Epoch(train) [56][660/3757] lr: 7.8679e-03 eta: 2 days, 3:29:28 time: 0.3958 data_time: 0.0181 memory: 17007 grad_norm: 6.3379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5173 loss: 2.5173 2022/07/27 16:22:47 - mmengine - INFO - Epoch(train) [56][680/3757] lr: 7.8679e-03 eta: 2 days, 3:29:29 time: 0.5810 data_time: 0.2005 memory: 17007 grad_norm: 6.3608 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2914 loss: 2.2914 2022/07/27 16:23:00 - mmengine - INFO - Epoch(train) [56][700/3757] lr: 7.8679e-03 eta: 2 days, 3:29:32 time: 0.6404 data_time: 0.2573 memory: 17007 grad_norm: 6.1517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0748 loss: 2.0748 2022/07/27 16:23:20 - mmengine - INFO - Epoch(train) [56][720/3757] lr: 7.8679e-03 eta: 2 days, 3:29:51 time: 0.9890 data_time: 0.5949 memory: 17007 grad_norm: 5.9614 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2540 loss: 2.2540 2022/07/27 16:23:48 - mmengine - INFO - Epoch(train) [56][740/3757] lr: 7.8679e-03 eta: 2 days, 3:30:28 time: 1.4021 data_time: 1.0102 memory: 17007 grad_norm: 5.9903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4060 loss: 2.4060 2022/07/27 16:23:55 - mmengine - INFO - Epoch(train) [56][760/3757] lr: 7.8679e-03 eta: 2 days, 3:30:20 time: 0.3906 data_time: 0.0148 memory: 17007 grad_norm: 6.1400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1431 loss: 2.1431 2022/07/27 16:24:09 - mmengine - INFO - Epoch(train) [56][780/3757] lr: 7.8679e-03 eta: 2 days, 3:30:26 time: 0.6963 data_time: 0.3002 memory: 17007 grad_norm: 6.2825 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2973 loss: 2.2973 2022/07/27 16:24:17 - mmengine - INFO - Epoch(train) [56][800/3757] lr: 7.8679e-03 eta: 2 days, 3:30:18 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.2770 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4567 loss: 2.4567 2022/07/27 16:24:25 - mmengine - INFO - Epoch(train) [56][820/3757] lr: 7.8679e-03 eta: 2 days, 3:30:10 time: 0.3976 data_time: 0.0169 memory: 17007 grad_norm: 6.3311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5570 loss: 2.5570 2022/07/27 16:24:38 - mmengine - INFO - Epoch(train) [56][840/3757] lr: 7.8679e-03 eta: 2 days, 3:30:13 time: 0.6297 data_time: 0.2417 memory: 17007 grad_norm: 6.1985 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1782 loss: 2.1782 2022/07/27 16:24:46 - mmengine - INFO - Epoch(train) [56][860/3757] lr: 7.8679e-03 eta: 2 days, 3:30:05 time: 0.3929 data_time: 0.0131 memory: 17007 grad_norm: 6.4556 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3380 loss: 2.3380 2022/07/27 16:24:54 - mmengine - INFO - Epoch(train) [56][880/3757] lr: 7.8679e-03 eta: 2 days, 3:29:57 time: 0.3946 data_time: 0.0165 memory: 17007 grad_norm: 6.3957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2730 loss: 2.2730 2022/07/27 16:25:03 - mmengine - INFO - Epoch(train) [56][900/3757] lr: 7.8679e-03 eta: 2 days, 3:29:52 time: 0.4739 data_time: 0.0875 memory: 17007 grad_norm: 6.0868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2043 loss: 2.2043 2022/07/27 16:25:11 - mmengine - INFO - Epoch(train) [56][920/3757] lr: 7.8679e-03 eta: 2 days, 3:29:44 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 5.9567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1788 loss: 2.1788 2022/07/27 16:25:19 - mmengine - INFO - Epoch(train) [56][940/3757] lr: 7.8679e-03 eta: 2 days, 3:29:37 time: 0.4013 data_time: 0.0149 memory: 17007 grad_norm: 6.1916 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0563 loss: 2.0563 2022/07/27 16:25:27 - mmengine - INFO - Epoch(train) [56][960/3757] lr: 7.8679e-03 eta: 2 days, 3:29:29 time: 0.3933 data_time: 0.0163 memory: 17007 grad_norm: 6.2035 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2709 loss: 2.2709 2022/07/27 16:25:38 - mmengine - INFO - Epoch(train) [56][980/3757] lr: 7.8679e-03 eta: 2 days, 3:29:28 time: 0.5557 data_time: 0.1758 memory: 17007 grad_norm: 6.1760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1782 loss: 2.1782 2022/07/27 16:25:55 - mmengine - INFO - Epoch(train) [56][1000/3757] lr: 7.8679e-03 eta: 2 days, 3:29:41 time: 0.8473 data_time: 0.4646 memory: 17007 grad_norm: 6.1664 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3135 loss: 2.3135 2022/07/27 16:26:03 - mmengine - INFO - Epoch(train) [56][1020/3757] lr: 7.8679e-03 eta: 2 days, 3:29:33 time: 0.4100 data_time: 0.0133 memory: 17007 grad_norm: 6.1107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2018 loss: 2.2018 2022/07/27 16:26:19 - mmengine - INFO - Epoch(train) [56][1040/3757] lr: 7.8679e-03 eta: 2 days, 3:29:44 time: 0.8045 data_time: 0.4137 memory: 17007 grad_norm: 6.0807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1452 loss: 2.1452 2022/07/27 16:26:31 - mmengine - INFO - Epoch(train) [56][1060/3757] lr: 7.8679e-03 eta: 2 days, 3:29:45 time: 0.5965 data_time: 0.2162 memory: 17007 grad_norm: 6.1623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1053 loss: 2.1053 2022/07/27 16:26:39 - mmengine - INFO - Epoch(train) [56][1080/3757] lr: 7.8679e-03 eta: 2 days, 3:29:37 time: 0.3932 data_time: 0.0135 memory: 17007 grad_norm: 6.1963 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2131 loss: 2.2131 2022/07/27 16:27:03 - mmengine - INFO - Epoch(train) [56][1100/3757] lr: 7.8679e-03 eta: 2 days, 3:30:04 time: 1.1777 data_time: 0.7800 memory: 17007 grad_norm: 6.2975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4810 loss: 2.4810 2022/07/27 16:27:29 - mmengine - INFO - Epoch(train) [56][1120/3757] lr: 7.8679e-03 eta: 2 days, 3:30:38 time: 1.3247 data_time: 0.9253 memory: 17007 grad_norm: 6.1556 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4451 loss: 2.4451 2022/07/27 16:27:37 - mmengine - INFO - Epoch(train) [56][1140/3757] lr: 7.8679e-03 eta: 2 days, 3:30:30 time: 0.3924 data_time: 0.0134 memory: 17007 grad_norm: 6.0376 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4294 loss: 2.4294 2022/07/27 16:27:45 - mmengine - INFO - Epoch(train) [56][1160/3757] lr: 7.8679e-03 eta: 2 days, 3:30:22 time: 0.3965 data_time: 0.0168 memory: 17007 grad_norm: 6.3057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4858 loss: 2.4858 2022/07/27 16:27:59 - mmengine - INFO - Epoch(train) [56][1180/3757] lr: 7.8679e-03 eta: 2 days, 3:30:28 time: 0.7041 data_time: 0.3222 memory: 17007 grad_norm: 6.1285 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1892 loss: 2.1892 2022/07/27 16:28:07 - mmengine - INFO - Epoch(train) [56][1200/3757] lr: 7.8679e-03 eta: 2 days, 3:30:20 time: 0.3917 data_time: 0.0129 memory: 17007 grad_norm: 6.2819 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4441 loss: 2.4441 2022/07/27 16:28:15 - mmengine - INFO - Epoch(train) [56][1220/3757] lr: 7.8679e-03 eta: 2 days, 3:30:12 time: 0.3967 data_time: 0.0154 memory: 17007 grad_norm: 6.1776 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2705 loss: 2.2705 2022/07/27 16:28:28 - mmengine - INFO - Epoch(train) [56][1240/3757] lr: 7.8679e-03 eta: 2 days, 3:30:17 time: 0.6849 data_time: 0.2896 memory: 17007 grad_norm: 6.1713 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4016 loss: 2.4016 2022/07/27 16:28:36 - mmengine - INFO - Epoch(train) [56][1260/3757] lr: 7.8679e-03 eta: 2 days, 3:30:09 time: 0.3923 data_time: 0.0144 memory: 17007 grad_norm: 6.0179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1023 loss: 2.1023 2022/07/27 16:28:45 - mmengine - INFO - Epoch(train) [56][1280/3757] lr: 7.8679e-03 eta: 2 days, 3:30:02 time: 0.4114 data_time: 0.0161 memory: 17007 grad_norm: 6.4362 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4128 loss: 2.4128 2022/07/27 16:28:52 - mmengine - INFO - Epoch(train) [56][1300/3757] lr: 7.8679e-03 eta: 2 days, 3:29:54 time: 0.3949 data_time: 0.0134 memory: 17007 grad_norm: 6.0313 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6164 loss: 2.6164 2022/07/27 16:29:00 - mmengine - INFO - Epoch(train) [56][1320/3757] lr: 7.8679e-03 eta: 2 days, 3:29:46 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.3012 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3651 loss: 2.3651 2022/07/27 16:29:15 - mmengine - INFO - Epoch(train) [56][1340/3757] lr: 7.8679e-03 eta: 2 days, 3:29:54 time: 0.7539 data_time: 0.3758 memory: 17007 grad_norm: 5.9726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1696 loss: 2.1696 2022/07/27 16:29:29 - mmengine - INFO - Epoch(train) [56][1360/3757] lr: 7.8679e-03 eta: 2 days, 3:30:00 time: 0.6962 data_time: 0.2992 memory: 17007 grad_norm: 6.2294 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6865 loss: 2.6865 2022/07/27 16:29:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:29:43 - mmengine - INFO - Epoch(train) [56][1380/3757] lr: 7.8679e-03 eta: 2 days, 3:30:06 time: 0.6938 data_time: 0.3107 memory: 17007 grad_norm: 6.1226 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0712 loss: 2.0712 2022/07/27 16:29:53 - mmengine - INFO - Epoch(train) [56][1400/3757] lr: 7.8679e-03 eta: 2 days, 3:30:01 time: 0.4779 data_time: 0.0960 memory: 17007 grad_norm: 6.3815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5992 loss: 2.5992 2022/07/27 16:30:05 - mmengine - INFO - Epoch(train) [56][1420/3757] lr: 7.8679e-03 eta: 2 days, 3:30:03 time: 0.6146 data_time: 0.2344 memory: 17007 grad_norm: 6.3615 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5999 loss: 2.5999 2022/07/27 16:30:30 - mmengine - INFO - Epoch(train) [56][1440/3757] lr: 7.8679e-03 eta: 2 days, 3:30:33 time: 1.2252 data_time: 0.8228 memory: 17007 grad_norm: 6.1777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3519 loss: 2.3519 2022/07/27 16:30:37 - mmengine - INFO - Epoch(train) [56][1460/3757] lr: 7.8679e-03 eta: 2 days, 3:30:25 time: 0.3927 data_time: 0.0138 memory: 17007 grad_norm: 6.2742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4917 loss: 2.4917 2022/07/27 16:30:49 - mmengine - INFO - Epoch(train) [56][1480/3757] lr: 7.8679e-03 eta: 2 days, 3:30:25 time: 0.5812 data_time: 0.1961 memory: 17007 grad_norm: 6.1346 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5571 loss: 2.5571 2022/07/27 16:31:02 - mmengine - INFO - Epoch(train) [56][1500/3757] lr: 7.8679e-03 eta: 2 days, 3:30:28 time: 0.6463 data_time: 0.2524 memory: 17007 grad_norm: 6.3225 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2532 loss: 2.2532 2022/07/27 16:31:10 - mmengine - INFO - Epoch(train) [56][1520/3757] lr: 7.8679e-03 eta: 2 days, 3:30:20 time: 0.3911 data_time: 0.0145 memory: 17007 grad_norm: 6.2831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2551 loss: 2.2551 2022/07/27 16:31:26 - mmengine - INFO - Epoch(train) [56][1540/3757] lr: 7.8679e-03 eta: 2 days, 3:30:30 time: 0.7982 data_time: 0.4024 memory: 17007 grad_norm: 6.1908 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3205 loss: 2.3205 2022/07/27 16:31:39 - mmengine - INFO - Epoch(train) [56][1560/3757] lr: 7.8679e-03 eta: 2 days, 3:30:34 time: 0.6644 data_time: 0.2814 memory: 17007 grad_norm: 6.2599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2838 loss: 2.2838 2022/07/27 16:31:47 - mmengine - INFO - Epoch(train) [56][1580/3757] lr: 7.8679e-03 eta: 2 days, 3:30:26 time: 0.3922 data_time: 0.0138 memory: 17007 grad_norm: 6.0781 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2859 loss: 2.2859 2022/07/27 16:31:55 - mmengine - INFO - Epoch(train) [56][1600/3757] lr: 7.8679e-03 eta: 2 days, 3:30:18 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 6.3115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3438 loss: 2.3438 2022/07/27 16:32:05 - mmengine - INFO - Epoch(train) [56][1620/3757] lr: 7.8679e-03 eta: 2 days, 3:30:14 time: 0.4834 data_time: 0.0991 memory: 17007 grad_norm: 5.8572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2937 loss: 2.2937 2022/07/27 16:32:12 - mmengine - INFO - Epoch(train) [56][1640/3757] lr: 7.8679e-03 eta: 2 days, 3:30:06 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.2686 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2210 loss: 2.2210 2022/07/27 16:32:20 - mmengine - INFO - Epoch(train) [56][1660/3757] lr: 7.8679e-03 eta: 2 days, 3:29:58 time: 0.3972 data_time: 0.0172 memory: 17007 grad_norm: 6.3373 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1409 loss: 2.1409 2022/07/27 16:32:28 - mmengine - INFO - Epoch(train) [56][1680/3757] lr: 7.8679e-03 eta: 2 days, 3:29:50 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 6.1829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2477 loss: 2.2477 2022/07/27 16:32:36 - mmengine - INFO - Epoch(train) [56][1700/3757] lr: 7.8679e-03 eta: 2 days, 3:29:42 time: 0.3906 data_time: 0.0139 memory: 17007 grad_norm: 5.9837 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1228 loss: 2.1228 2022/07/27 16:32:44 - mmengine - INFO - Epoch(train) [56][1720/3757] lr: 7.8679e-03 eta: 2 days, 3:29:34 time: 0.3962 data_time: 0.0176 memory: 17007 grad_norm: 6.0024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2000 loss: 2.2000 2022/07/27 16:32:52 - mmengine - INFO - Epoch(train) [56][1740/3757] lr: 7.8679e-03 eta: 2 days, 3:29:26 time: 0.3919 data_time: 0.0131 memory: 17007 grad_norm: 6.2884 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4546 loss: 2.4546 2022/07/27 16:33:00 - mmengine - INFO - Epoch(train) [56][1760/3757] lr: 7.8679e-03 eta: 2 days, 3:29:18 time: 0.4020 data_time: 0.0183 memory: 17007 grad_norm: 5.9571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4906 loss: 2.4906 2022/07/27 16:33:08 - mmengine - INFO - Epoch(train) [56][1780/3757] lr: 7.8679e-03 eta: 2 days, 3:29:10 time: 0.3914 data_time: 0.0144 memory: 17007 grad_norm: 6.1251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/07/27 16:33:16 - mmengine - INFO - Epoch(train) [56][1800/3757] lr: 7.8679e-03 eta: 2 days, 3:29:02 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 6.0751 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1063 loss: 2.1063 2022/07/27 16:33:23 - mmengine - INFO - Epoch(train) [56][1820/3757] lr: 7.8679e-03 eta: 2 days, 3:28:54 time: 0.3923 data_time: 0.0127 memory: 17007 grad_norm: 6.1966 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5797 loss: 2.5797 2022/07/27 16:33:31 - mmengine - INFO - Epoch(train) [56][1840/3757] lr: 7.8679e-03 eta: 2 days, 3:28:46 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 6.1918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4193 loss: 2.4193 2022/07/27 16:33:39 - mmengine - INFO - Epoch(train) [56][1860/3757] lr: 7.8679e-03 eta: 2 days, 3:28:38 time: 0.3931 data_time: 0.0126 memory: 17007 grad_norm: 6.0493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3308 loss: 2.3308 2022/07/27 16:33:47 - mmengine - INFO - Epoch(train) [56][1880/3757] lr: 7.8679e-03 eta: 2 days, 3:28:30 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 6.3144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1397 loss: 2.1397 2022/07/27 16:33:55 - mmengine - INFO - Epoch(train) [56][1900/3757] lr: 7.8679e-03 eta: 2 days, 3:28:22 time: 0.3933 data_time: 0.0126 memory: 17007 grad_norm: 6.1123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4045 loss: 2.4045 2022/07/27 16:34:03 - mmengine - INFO - Epoch(train) [56][1920/3757] lr: 7.8679e-03 eta: 2 days, 3:28:14 time: 0.3985 data_time: 0.0198 memory: 17007 grad_norm: 6.2379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2222 loss: 2.2222 2022/07/27 16:34:11 - mmengine - INFO - Epoch(train) [56][1940/3757] lr: 7.8679e-03 eta: 2 days, 3:28:06 time: 0.3925 data_time: 0.0133 memory: 17007 grad_norm: 6.0945 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1476 loss: 2.1476 2022/07/27 16:34:19 - mmengine - INFO - Epoch(train) [56][1960/3757] lr: 7.8679e-03 eta: 2 days, 3:27:58 time: 0.3935 data_time: 0.0167 memory: 17007 grad_norm: 6.3430 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6077 loss: 2.6077 2022/07/27 16:34:27 - mmengine - INFO - Epoch(train) [56][1980/3757] lr: 7.8679e-03 eta: 2 days, 3:27:50 time: 0.3943 data_time: 0.0169 memory: 17007 grad_norm: 6.6133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1675 loss: 2.1675 2022/07/27 16:34:34 - mmengine - INFO - Epoch(train) [56][2000/3757] lr: 7.8679e-03 eta: 2 days, 3:27:42 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 6.0141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2778 loss: 2.2778 2022/07/27 16:34:42 - mmengine - INFO - Epoch(train) [56][2020/3757] lr: 7.8679e-03 eta: 2 days, 3:27:34 time: 0.3967 data_time: 0.0162 memory: 17007 grad_norm: 6.1054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9948 loss: 1.9948 2022/07/27 16:34:50 - mmengine - INFO - Epoch(train) [56][2040/3757] lr: 7.8679e-03 eta: 2 days, 3:27:26 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.4388 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0902 loss: 2.0902 2022/07/27 16:34:58 - mmengine - INFO - Epoch(train) [56][2060/3757] lr: 7.8679e-03 eta: 2 days, 3:27:18 time: 0.3975 data_time: 0.0171 memory: 17007 grad_norm: 6.3259 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9844 loss: 1.9844 2022/07/27 16:35:06 - mmengine - INFO - Epoch(train) [56][2080/3757] lr: 7.8679e-03 eta: 2 days, 3:27:10 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 6.5227 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5994 loss: 2.5994 2022/07/27 16:35:14 - mmengine - INFO - Epoch(train) [56][2100/3757] lr: 7.8679e-03 eta: 2 days, 3:27:02 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 6.2160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1852 loss: 2.1852 2022/07/27 16:35:22 - mmengine - INFO - Epoch(train) [56][2120/3757] lr: 7.8679e-03 eta: 2 days, 3:26:54 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 6.3555 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4332 loss: 2.4332 2022/07/27 16:35:30 - mmengine - INFO - Epoch(train) [56][2140/3757] lr: 7.8679e-03 eta: 2 days, 3:26:46 time: 0.3984 data_time: 0.0147 memory: 17007 grad_norm: 6.0515 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1797 loss: 2.1797 2022/07/27 16:35:38 - mmengine - INFO - Epoch(train) [56][2160/3757] lr: 7.8679e-03 eta: 2 days, 3:26:38 time: 0.3945 data_time: 0.0166 memory: 17007 grad_norm: 6.3101 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1466 loss: 2.1466 2022/07/27 16:35:46 - mmengine - INFO - Epoch(train) [56][2180/3757] lr: 7.8679e-03 eta: 2 days, 3:26:30 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 6.1696 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1325 loss: 2.1325 2022/07/27 16:35:54 - mmengine - INFO - Epoch(train) [56][2200/3757] lr: 7.8679e-03 eta: 2 days, 3:26:22 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 6.1594 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2423 loss: 2.2423 2022/07/27 16:36:02 - mmengine - INFO - Epoch(train) [56][2220/3757] lr: 7.8679e-03 eta: 2 days, 3:26:15 time: 0.4045 data_time: 0.0163 memory: 17007 grad_norm: 6.1131 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4320 loss: 2.4320 2022/07/27 16:36:10 - mmengine - INFO - Epoch(train) [56][2240/3757] lr: 7.8679e-03 eta: 2 days, 3:26:07 time: 0.3969 data_time: 0.0150 memory: 17007 grad_norm: 6.2446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1674 loss: 2.1674 2022/07/27 16:36:17 - mmengine - INFO - Epoch(train) [56][2260/3757] lr: 7.8679e-03 eta: 2 days, 3:25:59 time: 0.3915 data_time: 0.0145 memory: 17007 grad_norm: 6.2428 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3634 loss: 2.3634 2022/07/27 16:36:25 - mmengine - INFO - Epoch(train) [56][2280/3757] lr: 7.8679e-03 eta: 2 days, 3:25:51 time: 0.3950 data_time: 0.0172 memory: 17007 grad_norm: 6.3695 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4779 loss: 2.4779 2022/07/27 16:36:33 - mmengine - INFO - Epoch(train) [56][2300/3757] lr: 7.8679e-03 eta: 2 days, 3:25:43 time: 0.3930 data_time: 0.0144 memory: 17007 grad_norm: 6.1427 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3554 loss: 2.3554 2022/07/27 16:36:41 - mmengine - INFO - Epoch(train) [56][2320/3757] lr: 7.8679e-03 eta: 2 days, 3:25:35 time: 0.4047 data_time: 0.0162 memory: 17007 grad_norm: 6.2076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3402 loss: 2.3402 2022/07/27 16:36:49 - mmengine - INFO - Epoch(train) [56][2340/3757] lr: 7.8679e-03 eta: 2 days, 3:25:27 time: 0.3905 data_time: 0.0124 memory: 17007 grad_norm: 6.2083 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2632 loss: 2.2632 2022/07/27 16:36:57 - mmengine - INFO - Epoch(train) [56][2360/3757] lr: 7.8679e-03 eta: 2 days, 3:25:19 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 6.2998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5011 loss: 2.5011 2022/07/27 16:36:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:37:05 - mmengine - INFO - Epoch(train) [56][2380/3757] lr: 7.8679e-03 eta: 2 days, 3:25:11 time: 0.3981 data_time: 0.0141 memory: 17007 grad_norm: 6.4537 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5152 loss: 2.5152 2022/07/27 16:37:13 - mmengine - INFO - Epoch(train) [56][2400/3757] lr: 7.8679e-03 eta: 2 days, 3:25:03 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 6.0901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5251 loss: 2.5251 2022/07/27 16:37:21 - mmengine - INFO - Epoch(train) [56][2420/3757] lr: 7.8679e-03 eta: 2 days, 3:24:55 time: 0.3939 data_time: 0.0139 memory: 17007 grad_norm: 6.4511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4587 loss: 2.4587 2022/07/27 16:37:29 - mmengine - INFO - Epoch(train) [56][2440/3757] lr: 7.8679e-03 eta: 2 days, 3:24:47 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 6.2449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3712 loss: 2.3712 2022/07/27 16:37:36 - mmengine - INFO - Epoch(train) [56][2460/3757] lr: 7.8679e-03 eta: 2 days, 3:24:39 time: 0.3924 data_time: 0.0132 memory: 17007 grad_norm: 6.1347 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3572 loss: 2.3572 2022/07/27 16:37:45 - mmengine - INFO - Epoch(train) [56][2480/3757] lr: 7.8679e-03 eta: 2 days, 3:24:32 time: 0.4060 data_time: 0.0159 memory: 17007 grad_norm: 6.1695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2300 loss: 2.2300 2022/07/27 16:37:52 - mmengine - INFO - Epoch(train) [56][2500/3757] lr: 7.8679e-03 eta: 2 days, 3:24:23 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 6.1064 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3941 loss: 2.3941 2022/07/27 16:38:00 - mmengine - INFO - Epoch(train) [56][2520/3757] lr: 7.8679e-03 eta: 2 days, 3:24:16 time: 0.4018 data_time: 0.0157 memory: 17007 grad_norm: 6.0602 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2912 loss: 2.2912 2022/07/27 16:38:08 - mmengine - INFO - Epoch(train) [56][2540/3757] lr: 7.8679e-03 eta: 2 days, 3:24:08 time: 0.3915 data_time: 0.0134 memory: 17007 grad_norm: 5.8878 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2101 loss: 2.2101 2022/07/27 16:38:16 - mmengine - INFO - Epoch(train) [56][2560/3757] lr: 7.8679e-03 eta: 2 days, 3:24:00 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 6.4251 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5561 loss: 2.5561 2022/07/27 16:38:24 - mmengine - INFO - Epoch(train) [56][2580/3757] lr: 7.8679e-03 eta: 2 days, 3:23:52 time: 0.4015 data_time: 0.0144 memory: 17007 grad_norm: 5.9730 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5148 loss: 2.5148 2022/07/27 16:38:32 - mmengine - INFO - Epoch(train) [56][2600/3757] lr: 7.8679e-03 eta: 2 days, 3:23:44 time: 0.4028 data_time: 0.0149 memory: 17007 grad_norm: 6.1045 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3546 loss: 2.3546 2022/07/27 16:38:40 - mmengine - INFO - Epoch(train) [56][2620/3757] lr: 7.8679e-03 eta: 2 days, 3:23:36 time: 0.3931 data_time: 0.0132 memory: 17007 grad_norm: 6.0185 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2050 loss: 2.2050 2022/07/27 16:38:48 - mmengine - INFO - Epoch(train) [56][2640/3757] lr: 7.8679e-03 eta: 2 days, 3:23:28 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.0778 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3429 loss: 2.3429 2022/07/27 16:38:56 - mmengine - INFO - Epoch(train) [56][2660/3757] lr: 7.8679e-03 eta: 2 days, 3:23:21 time: 0.4065 data_time: 0.0151 memory: 17007 grad_norm: 6.2405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7873 loss: 1.7873 2022/07/27 16:39:04 - mmengine - INFO - Epoch(train) [56][2680/3757] lr: 7.8679e-03 eta: 2 days, 3:23:13 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 6.2942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1021 loss: 2.1021 2022/07/27 16:39:12 - mmengine - INFO - Epoch(train) [56][2700/3757] lr: 7.8679e-03 eta: 2 days, 3:23:05 time: 0.4100 data_time: 0.0154 memory: 17007 grad_norm: 6.2123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6229 loss: 2.6229 2022/07/27 16:39:20 - mmengine - INFO - Epoch(train) [56][2720/3757] lr: 7.8679e-03 eta: 2 days, 3:22:57 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 6.1982 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4476 loss: 2.4476 2022/07/27 16:39:28 - mmengine - INFO - Epoch(train) [56][2740/3757] lr: 7.8679e-03 eta: 2 days, 3:22:49 time: 0.3916 data_time: 0.0130 memory: 17007 grad_norm: 6.2489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5715 loss: 2.5715 2022/07/27 16:39:36 - mmengine - INFO - Epoch(train) [56][2760/3757] lr: 7.8679e-03 eta: 2 days, 3:22:42 time: 0.4211 data_time: 0.0157 memory: 17007 grad_norm: 6.0800 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1602 loss: 2.1602 2022/07/27 16:39:44 - mmengine - INFO - Epoch(train) [56][2780/3757] lr: 7.8679e-03 eta: 2 days, 3:22:34 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 6.0238 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1037 loss: 2.1037 2022/07/27 16:39:52 - mmengine - INFO - Epoch(train) [56][2800/3757] lr: 7.8679e-03 eta: 2 days, 3:22:26 time: 0.3958 data_time: 0.0172 memory: 17007 grad_norm: 6.3421 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4557 loss: 2.4557 2022/07/27 16:40:00 - mmengine - INFO - Epoch(train) [56][2820/3757] lr: 7.8679e-03 eta: 2 days, 3:22:18 time: 0.3930 data_time: 0.0134 memory: 17007 grad_norm: 6.3488 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7241 loss: 2.7241 2022/07/27 16:40:08 - mmengine - INFO - Epoch(train) [56][2840/3757] lr: 7.8679e-03 eta: 2 days, 3:22:10 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 6.0867 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5065 loss: 2.5065 2022/07/27 16:40:16 - mmengine - INFO - Epoch(train) [56][2860/3757] lr: 7.8679e-03 eta: 2 days, 3:22:03 time: 0.4014 data_time: 0.0170 memory: 17007 grad_norm: 5.8825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4488 loss: 2.4488 2022/07/27 16:40:24 - mmengine - INFO - Epoch(train) [56][2880/3757] lr: 7.8679e-03 eta: 2 days, 3:21:54 time: 0.3930 data_time: 0.0147 memory: 17007 grad_norm: 5.7774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3858 loss: 2.3858 2022/07/27 16:40:32 - mmengine - INFO - Epoch(train) [56][2900/3757] lr: 7.8679e-03 eta: 2 days, 3:21:47 time: 0.4109 data_time: 0.0156 memory: 17007 grad_norm: 6.0837 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9376 loss: 1.9376 2022/07/27 16:40:40 - mmengine - INFO - Epoch(train) [56][2920/3757] lr: 7.8679e-03 eta: 2 days, 3:21:39 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 5.9674 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1674 loss: 2.1674 2022/07/27 16:40:48 - mmengine - INFO - Epoch(train) [56][2940/3757] lr: 7.8679e-03 eta: 2 days, 3:21:31 time: 0.3921 data_time: 0.0143 memory: 17007 grad_norm: 6.3000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5553 loss: 2.5553 2022/07/27 16:40:56 - mmengine - INFO - Epoch(train) [56][2960/3757] lr: 7.8679e-03 eta: 2 days, 3:21:23 time: 0.3964 data_time: 0.0168 memory: 17007 grad_norm: 6.2514 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5102 loss: 2.5102 2022/07/27 16:41:04 - mmengine - INFO - Epoch(train) [56][2980/3757] lr: 7.8679e-03 eta: 2 days, 3:21:15 time: 0.3913 data_time: 0.0137 memory: 17007 grad_norm: 6.0364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1907 loss: 2.1907 2022/07/27 16:41:11 - mmengine - INFO - Epoch(train) [56][3000/3757] lr: 7.8679e-03 eta: 2 days, 3:21:07 time: 0.3965 data_time: 0.0168 memory: 17007 grad_norm: 5.9910 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2457 loss: 2.2457 2022/07/27 16:41:19 - mmengine - INFO - Epoch(train) [56][3020/3757] lr: 7.8679e-03 eta: 2 days, 3:20:59 time: 0.3911 data_time: 0.0135 memory: 17007 grad_norm: 6.2806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1840 loss: 2.1840 2022/07/27 16:41:27 - mmengine - INFO - Epoch(train) [56][3040/3757] lr: 7.8679e-03 eta: 2 days, 3:20:51 time: 0.3945 data_time: 0.0168 memory: 17007 grad_norm: 5.9638 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2801 loss: 2.2801 2022/07/27 16:41:35 - mmengine - INFO - Epoch(train) [56][3060/3757] lr: 7.8679e-03 eta: 2 days, 3:20:43 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 6.3025 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4931 loss: 2.4931 2022/07/27 16:41:43 - mmengine - INFO - Epoch(train) [56][3080/3757] lr: 7.8679e-03 eta: 2 days, 3:20:35 time: 0.3955 data_time: 0.0167 memory: 17007 grad_norm: 6.2956 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.7765 loss: 2.7765 2022/07/27 16:41:51 - mmengine - INFO - Epoch(train) [56][3100/3757] lr: 7.8679e-03 eta: 2 days, 3:20:27 time: 0.3931 data_time: 0.0128 memory: 17007 grad_norm: 6.2758 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.3370 loss: 2.3370 2022/07/27 16:41:59 - mmengine - INFO - Epoch(train) [56][3120/3757] lr: 7.8679e-03 eta: 2 days, 3:20:19 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 6.2032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4784 loss: 2.4784 2022/07/27 16:42:07 - mmengine - INFO - Epoch(train) [56][3140/3757] lr: 7.8679e-03 eta: 2 days, 3:20:11 time: 0.3967 data_time: 0.0143 memory: 17007 grad_norm: 5.9063 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2292 loss: 2.2292 2022/07/27 16:42:15 - mmengine - INFO - Epoch(train) [56][3160/3757] lr: 7.8679e-03 eta: 2 days, 3:20:03 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 6.0194 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6220 loss: 2.6220 2022/07/27 16:42:23 - mmengine - INFO - Epoch(train) [56][3180/3757] lr: 7.8679e-03 eta: 2 days, 3:19:55 time: 0.3960 data_time: 0.0146 memory: 17007 grad_norm: 6.1771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4748 loss: 2.4748 2022/07/27 16:42:30 - mmengine - INFO - Epoch(train) [56][3200/3757] lr: 7.8679e-03 eta: 2 days, 3:19:47 time: 0.3984 data_time: 0.0151 memory: 17007 grad_norm: 6.1081 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1340 loss: 2.1340 2022/07/27 16:42:38 - mmengine - INFO - Epoch(train) [56][3220/3757] lr: 7.8679e-03 eta: 2 days, 3:19:39 time: 0.3923 data_time: 0.0142 memory: 17007 grad_norm: 6.0121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6147 loss: 2.6147 2022/07/27 16:42:46 - mmengine - INFO - Epoch(train) [56][3240/3757] lr: 7.8679e-03 eta: 2 days, 3:19:31 time: 0.4023 data_time: 0.0168 memory: 17007 grad_norm: 6.0459 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3056 loss: 2.3056 2022/07/27 16:42:54 - mmengine - INFO - Epoch(train) [56][3260/3757] lr: 7.8679e-03 eta: 2 days, 3:19:23 time: 0.3956 data_time: 0.0138 memory: 17007 grad_norm: 6.1800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1226 loss: 2.1226 2022/07/27 16:43:02 - mmengine - INFO - Epoch(train) [56][3280/3757] lr: 7.8679e-03 eta: 2 days, 3:19:16 time: 0.3957 data_time: 0.0171 memory: 17007 grad_norm: 6.3200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2277 loss: 2.2277 2022/07/27 16:43:10 - mmengine - INFO - Epoch(train) [56][3300/3757] lr: 7.8679e-03 eta: 2 days, 3:19:08 time: 0.3953 data_time: 0.0130 memory: 17007 grad_norm: 6.2326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3991 loss: 2.3991 2022/07/27 16:43:18 - mmengine - INFO - Epoch(train) [56][3320/3757] lr: 7.8679e-03 eta: 2 days, 3:18:59 time: 0.3916 data_time: 0.0148 memory: 17007 grad_norm: 5.9655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0128 loss: 2.0128 2022/07/27 16:43:26 - mmengine - INFO - Epoch(train) [56][3340/3757] lr: 7.8679e-03 eta: 2 days, 3:18:52 time: 0.3993 data_time: 0.0141 memory: 17007 grad_norm: 6.1078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5643 loss: 2.5643 2022/07/27 16:43:34 - mmengine - INFO - Epoch(train) [56][3360/3757] lr: 7.8679e-03 eta: 2 days, 3:18:44 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 6.2415 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1469 loss: 2.1469 2022/07/27 16:43:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:43:42 - mmengine - INFO - Epoch(train) [56][3380/3757] lr: 7.8679e-03 eta: 2 days, 3:18:36 time: 0.4018 data_time: 0.0144 memory: 17007 grad_norm: 6.3620 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5749 loss: 2.5749 2022/07/27 16:43:50 - mmengine - INFO - Epoch(train) [56][3400/3757] lr: 7.8679e-03 eta: 2 days, 3:18:28 time: 0.3939 data_time: 0.0157 memory: 17007 grad_norm: 6.1965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4296 loss: 2.4296 2022/07/27 16:43:58 - mmengine - INFO - Epoch(train) [56][3420/3757] lr: 7.8679e-03 eta: 2 days, 3:18:21 time: 0.4125 data_time: 0.0138 memory: 17007 grad_norm: 6.2694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2429 loss: 2.2429 2022/07/27 16:44:06 - mmengine - INFO - Epoch(train) [56][3440/3757] lr: 7.8679e-03 eta: 2 days, 3:18:13 time: 0.4062 data_time: 0.0168 memory: 17007 grad_norm: 6.2139 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5207 loss: 2.5207 2022/07/27 16:44:15 - mmengine - INFO - Epoch(train) [56][3460/3757] lr: 7.8679e-03 eta: 2 days, 3:18:07 time: 0.4239 data_time: 0.0148 memory: 17007 grad_norm: 6.0127 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2674 loss: 2.2674 2022/07/27 16:44:23 - mmengine - INFO - Epoch(train) [56][3480/3757] lr: 7.8679e-03 eta: 2 days, 3:17:59 time: 0.3959 data_time: 0.0166 memory: 17007 grad_norm: 6.2799 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5854 loss: 2.5854 2022/07/27 16:44:31 - mmengine - INFO - Epoch(train) [56][3500/3757] lr: 7.8679e-03 eta: 2 days, 3:17:51 time: 0.3971 data_time: 0.0138 memory: 17007 grad_norm: 6.1557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3705 loss: 2.3705 2022/07/27 16:44:38 - mmengine - INFO - Epoch(train) [56][3520/3757] lr: 7.8679e-03 eta: 2 days, 3:17:43 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 6.3692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2230 loss: 2.2230 2022/07/27 16:44:46 - mmengine - INFO - Epoch(train) [56][3540/3757] lr: 7.8679e-03 eta: 2 days, 3:17:35 time: 0.3953 data_time: 0.0130 memory: 17007 grad_norm: 6.0606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2560 loss: 2.2560 2022/07/27 16:44:54 - mmengine - INFO - Epoch(train) [56][3560/3757] lr: 7.8679e-03 eta: 2 days, 3:17:27 time: 0.3959 data_time: 0.0171 memory: 17007 grad_norm: 6.1336 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6447 loss: 2.6447 2022/07/27 16:45:02 - mmengine - INFO - Epoch(train) [56][3580/3757] lr: 7.8679e-03 eta: 2 days, 3:17:19 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.2338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3761 loss: 2.3761 2022/07/27 16:45:11 - mmengine - INFO - Epoch(train) [56][3600/3757] lr: 7.8679e-03 eta: 2 days, 3:17:13 time: 0.4350 data_time: 0.0150 memory: 17007 grad_norm: 5.9227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0772 loss: 2.0772 2022/07/27 16:45:19 - mmengine - INFO - Epoch(train) [56][3620/3757] lr: 7.8679e-03 eta: 2 days, 3:17:04 time: 0.3931 data_time: 0.0126 memory: 17007 grad_norm: 6.1751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2420 loss: 2.2420 2022/07/27 16:45:27 - mmengine - INFO - Epoch(train) [56][3640/3757] lr: 7.8679e-03 eta: 2 days, 3:16:56 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 6.0294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9961 loss: 1.9961 2022/07/27 16:45:35 - mmengine - INFO - Epoch(train) [56][3660/3757] lr: 7.8679e-03 eta: 2 days, 3:16:49 time: 0.4042 data_time: 0.0144 memory: 17007 grad_norm: 6.2783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2613 loss: 2.2613 2022/07/27 16:45:42 - mmengine - INFO - Epoch(train) [56][3680/3757] lr: 7.8679e-03 eta: 2 days, 3:16:41 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.3399 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2382 loss: 2.2382 2022/07/27 16:45:50 - mmengine - INFO - Epoch(train) [56][3700/3757] lr: 7.8679e-03 eta: 2 days, 3:16:33 time: 0.3966 data_time: 0.0156 memory: 17007 grad_norm: 6.3783 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2738 loss: 2.2738 2022/07/27 16:45:58 - mmengine - INFO - Epoch(train) [56][3720/3757] lr: 7.8679e-03 eta: 2 days, 3:16:25 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 6.3880 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4692 loss: 2.4692 2022/07/27 16:46:06 - mmengine - INFO - Epoch(train) [56][3740/3757] lr: 7.8679e-03 eta: 2 days, 3:16:17 time: 0.3926 data_time: 0.0134 memory: 17007 grad_norm: 6.2108 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9216 loss: 1.9216 2022/07/27 16:46:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:46:13 - mmengine - INFO - Epoch(train) [56][3757/3757] lr: 7.8679e-03 eta: 2 days, 3:16:17 time: 0.4109 data_time: 0.0164 memory: 17007 grad_norm: 6.2258 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.3033 loss: 2.3033 2022/07/27 16:46:13 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/07/27 16:46:24 - mmengine - INFO - Epoch(train) [57][20/3757] lr: 7.7960e-03 eta: 2 days, 3:15:49 time: 0.4413 data_time: 0.0654 memory: 17007 grad_norm: 6.2154 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2721 loss: 2.2721 2022/07/27 16:46:32 - mmengine - INFO - Epoch(train) [57][40/3757] lr: 7.7960e-03 eta: 2 days, 3:15:41 time: 0.3999 data_time: 0.0167 memory: 17007 grad_norm: 6.1411 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1965 loss: 2.1965 2022/07/27 16:46:40 - mmengine - INFO - Epoch(train) [57][60/3757] lr: 7.7960e-03 eta: 2 days, 3:15:33 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 6.1510 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0889 loss: 2.0889 2022/07/27 16:46:47 - mmengine - INFO - Epoch(train) [57][80/3757] lr: 7.7960e-03 eta: 2 days, 3:15:25 time: 0.3929 data_time: 0.0145 memory: 17007 grad_norm: 6.0906 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3725 loss: 2.3725 2022/07/27 16:46:55 - mmengine - INFO - Epoch(train) [57][100/3757] lr: 7.7960e-03 eta: 2 days, 3:15:18 time: 0.4026 data_time: 0.0164 memory: 17007 grad_norm: 6.4069 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4169 loss: 2.4169 2022/07/27 16:47:03 - mmengine - INFO - Epoch(train) [57][120/3757] lr: 7.7960e-03 eta: 2 days, 3:15:09 time: 0.3925 data_time: 0.0146 memory: 17007 grad_norm: 6.3783 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3927 loss: 2.3927 2022/07/27 16:47:12 - mmengine - INFO - Epoch(train) [57][140/3757] lr: 7.7960e-03 eta: 2 days, 3:15:02 time: 0.4118 data_time: 0.0147 memory: 17007 grad_norm: 6.4080 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2889 loss: 2.2889 2022/07/27 16:47:19 - mmengine - INFO - Epoch(train) [57][160/3757] lr: 7.7960e-03 eta: 2 days, 3:14:54 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.3509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2442 loss: 2.2442 2022/07/27 16:47:27 - mmengine - INFO - Epoch(train) [57][180/3757] lr: 7.7960e-03 eta: 2 days, 3:14:46 time: 0.3928 data_time: 0.0146 memory: 17007 grad_norm: 6.1439 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4423 loss: 2.4423 2022/07/27 16:47:36 - mmengine - INFO - Epoch(train) [57][200/3757] lr: 7.7960e-03 eta: 2 days, 3:14:39 time: 0.4143 data_time: 0.0168 memory: 17007 grad_norm: 6.1988 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2414 loss: 2.2414 2022/07/27 16:47:43 - mmengine - INFO - Epoch(train) [57][220/3757] lr: 7.7960e-03 eta: 2 days, 3:14:31 time: 0.3925 data_time: 0.0150 memory: 17007 grad_norm: 6.2187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0550 loss: 2.0550 2022/07/27 16:47:51 - mmengine - INFO - Epoch(train) [57][240/3757] lr: 7.7960e-03 eta: 2 days, 3:14:23 time: 0.3948 data_time: 0.0162 memory: 17007 grad_norm: 6.3033 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3169 loss: 2.3169 2022/07/27 16:47:59 - mmengine - INFO - Epoch(train) [57][260/3757] lr: 7.7960e-03 eta: 2 days, 3:14:15 time: 0.3904 data_time: 0.0132 memory: 17007 grad_norm: 6.2447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3328 loss: 2.3328 2022/07/27 16:48:07 - mmengine - INFO - Epoch(train) [57][280/3757] lr: 7.7960e-03 eta: 2 days, 3:14:07 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 6.0127 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2695 loss: 2.2695 2022/07/27 16:48:15 - mmengine - INFO - Epoch(train) [57][300/3757] lr: 7.7960e-03 eta: 2 days, 3:13:59 time: 0.4018 data_time: 0.0158 memory: 17007 grad_norm: 6.1006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2805 loss: 2.2805 2022/07/27 16:48:23 - mmengine - INFO - Epoch(train) [57][320/3757] lr: 7.7960e-03 eta: 2 days, 3:13:51 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 6.2099 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0360 loss: 2.0360 2022/07/27 16:48:32 - mmengine - INFO - Epoch(train) [57][340/3757] lr: 7.7960e-03 eta: 2 days, 3:13:44 time: 0.4289 data_time: 0.0143 memory: 17007 grad_norm: 6.0210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3459 loss: 2.3459 2022/07/27 16:48:39 - mmengine - INFO - Epoch(train) [57][360/3757] lr: 7.7960e-03 eta: 2 days, 3:13:36 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 5.9184 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3519 loss: 2.3519 2022/07/27 16:48:47 - mmengine - INFO - Epoch(train) [57][380/3757] lr: 7.7960e-03 eta: 2 days, 3:13:28 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 6.1110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2987 loss: 2.2987 2022/07/27 16:48:56 - mmengine - INFO - Epoch(train) [57][400/3757] lr: 7.7960e-03 eta: 2 days, 3:13:21 time: 0.4100 data_time: 0.0165 memory: 17007 grad_norm: 6.4404 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2700 loss: 2.2700 2022/07/27 16:49:03 - mmengine - INFO - Epoch(train) [57][420/3757] lr: 7.7960e-03 eta: 2 days, 3:13:13 time: 0.3921 data_time: 0.0146 memory: 17007 grad_norm: 6.1628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1748 loss: 2.1748 2022/07/27 16:49:11 - mmengine - INFO - Epoch(train) [57][440/3757] lr: 7.7960e-03 eta: 2 days, 3:13:05 time: 0.3945 data_time: 0.0165 memory: 17007 grad_norm: 6.2569 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3969 loss: 2.3969 2022/07/27 16:49:19 - mmengine - INFO - Epoch(train) [57][460/3757] lr: 7.7960e-03 eta: 2 days, 3:12:57 time: 0.3929 data_time: 0.0145 memory: 17007 grad_norm: 5.9838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3581 loss: 2.3581 2022/07/27 16:49:27 - mmengine - INFO - Epoch(train) [57][480/3757] lr: 7.7960e-03 eta: 2 days, 3:12:50 time: 0.4097 data_time: 0.0167 memory: 17007 grad_norm: 5.9477 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1515 loss: 2.1515 2022/07/27 16:49:35 - mmengine - INFO - Epoch(train) [57][500/3757] lr: 7.7960e-03 eta: 2 days, 3:12:42 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 6.1844 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1206 loss: 2.1206 2022/07/27 16:49:43 - mmengine - INFO - Epoch(train) [57][520/3757] lr: 7.7960e-03 eta: 2 days, 3:12:34 time: 0.4007 data_time: 0.0160 memory: 17007 grad_norm: 12.8753 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5218 loss: 2.5218 2022/07/27 16:49:51 - mmengine - INFO - Epoch(train) [57][540/3757] lr: 7.7960e-03 eta: 2 days, 3:12:26 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 6.4311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2201 loss: 2.2201 2022/07/27 16:49:59 - mmengine - INFO - Epoch(train) [57][560/3757] lr: 7.7960e-03 eta: 2 days, 3:12:18 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 6.6516 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4490 loss: 2.4490 2022/07/27 16:50:07 - mmengine - INFO - Epoch(train) [57][580/3757] lr: 7.7960e-03 eta: 2 days, 3:12:10 time: 0.3959 data_time: 0.0159 memory: 17007 grad_norm: 6.1194 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5324 loss: 2.5324 2022/07/27 16:50:15 - mmengine - INFO - Epoch(train) [57][600/3757] lr: 7.7960e-03 eta: 2 days, 3:12:02 time: 0.3963 data_time: 0.0171 memory: 17007 grad_norm: 6.3881 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3923 loss: 2.3923 2022/07/27 16:50:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:50:23 - mmengine - INFO - Epoch(train) [57][620/3757] lr: 7.7960e-03 eta: 2 days, 3:11:54 time: 0.4009 data_time: 0.0158 memory: 17007 grad_norm: 6.0749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2919 loss: 2.2919 2022/07/27 16:50:31 - mmengine - INFO - Epoch(train) [57][640/3757] lr: 7.7960e-03 eta: 2 days, 3:11:46 time: 0.3958 data_time: 0.0157 memory: 17007 grad_norm: 6.2245 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4532 loss: 2.4532 2022/07/27 16:50:39 - mmengine - INFO - Epoch(train) [57][660/3757] lr: 7.7960e-03 eta: 2 days, 3:11:38 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 6.3820 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7233 loss: 2.7233 2022/07/27 16:50:47 - mmengine - INFO - Epoch(train) [57][680/3757] lr: 7.7960e-03 eta: 2 days, 3:11:31 time: 0.3996 data_time: 0.0150 memory: 17007 grad_norm: 6.4173 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5915 loss: 2.5915 2022/07/27 16:50:55 - mmengine - INFO - Epoch(train) [57][700/3757] lr: 7.7960e-03 eta: 2 days, 3:11:23 time: 0.3972 data_time: 0.0157 memory: 17007 grad_norm: 6.1257 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3447 loss: 2.3447 2022/07/27 16:51:03 - mmengine - INFO - Epoch(train) [57][720/3757] lr: 7.7960e-03 eta: 2 days, 3:11:15 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 6.5337 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7708 loss: 2.7708 2022/07/27 16:51:10 - mmengine - INFO - Epoch(train) [57][740/3757] lr: 7.7960e-03 eta: 2 days, 3:11:07 time: 0.3944 data_time: 0.0144 memory: 17007 grad_norm: 6.2833 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2438 loss: 2.2438 2022/07/27 16:51:18 - mmengine - INFO - Epoch(train) [57][760/3757] lr: 7.7960e-03 eta: 2 days, 3:10:59 time: 0.3977 data_time: 0.0147 memory: 17007 grad_norm: 6.1977 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2616 loss: 2.2616 2022/07/27 16:51:26 - mmengine - INFO - Epoch(train) [57][780/3757] lr: 7.7960e-03 eta: 2 days, 3:10:51 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 6.2419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5622 loss: 2.5622 2022/07/27 16:51:34 - mmengine - INFO - Epoch(train) [57][800/3757] lr: 7.7960e-03 eta: 2 days, 3:10:43 time: 0.3960 data_time: 0.0167 memory: 17007 grad_norm: 6.1053 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3932 loss: 2.3932 2022/07/27 16:51:42 - mmengine - INFO - Epoch(train) [57][820/3757] lr: 7.7960e-03 eta: 2 days, 3:10:35 time: 0.3920 data_time: 0.0133 memory: 17007 grad_norm: 6.5185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1901 loss: 2.1901 2022/07/27 16:51:50 - mmengine - INFO - Epoch(train) [57][840/3757] lr: 7.7960e-03 eta: 2 days, 3:10:27 time: 0.3921 data_time: 0.0148 memory: 17007 grad_norm: 5.9707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3826 loss: 2.3826 2022/07/27 16:51:58 - mmengine - INFO - Epoch(train) [57][860/3757] lr: 7.7960e-03 eta: 2 days, 3:10:19 time: 0.3959 data_time: 0.0155 memory: 17007 grad_norm: 6.4042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1725 loss: 2.1725 2022/07/27 16:52:06 - mmengine - INFO - Epoch(train) [57][880/3757] lr: 7.7960e-03 eta: 2 days, 3:10:11 time: 0.3957 data_time: 0.0166 memory: 17007 grad_norm: 6.2627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2080 loss: 2.2080 2022/07/27 16:52:14 - mmengine - INFO - Epoch(train) [57][900/3757] lr: 7.7960e-03 eta: 2 days, 3:10:03 time: 0.3943 data_time: 0.0158 memory: 17007 grad_norm: 6.0633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1391 loss: 2.1391 2022/07/27 16:52:22 - mmengine - INFO - Epoch(train) [57][920/3757] lr: 7.7960e-03 eta: 2 days, 3:09:55 time: 0.3951 data_time: 0.0161 memory: 17007 grad_norm: 6.4100 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2398 loss: 2.2398 2022/07/27 16:52:29 - mmengine - INFO - Epoch(train) [57][940/3757] lr: 7.7960e-03 eta: 2 days, 3:09:47 time: 0.3928 data_time: 0.0149 memory: 17007 grad_norm: 6.2094 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4161 loss: 2.4161 2022/07/27 16:52:38 - mmengine - INFO - Epoch(train) [57][960/3757] lr: 7.7960e-03 eta: 2 days, 3:09:39 time: 0.4052 data_time: 0.0156 memory: 17007 grad_norm: 5.9723 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3216 loss: 2.3216 2022/07/27 16:52:46 - mmengine - INFO - Epoch(train) [57][980/3757] lr: 7.7960e-03 eta: 2 days, 3:09:32 time: 0.4013 data_time: 0.0165 memory: 17007 grad_norm: 6.0586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2684 loss: 2.2684 2022/07/27 16:52:54 - mmengine - INFO - Epoch(train) [57][1000/3757] lr: 7.7960e-03 eta: 2 days, 3:09:24 time: 0.3964 data_time: 0.0150 memory: 17007 grad_norm: 5.8826 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2820 loss: 2.2820 2022/07/27 16:53:01 - mmengine - INFO - Epoch(train) [57][1020/3757] lr: 7.7960e-03 eta: 2 days, 3:09:16 time: 0.3964 data_time: 0.0162 memory: 17007 grad_norm: 6.0196 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0848 loss: 2.0848 2022/07/27 16:53:09 - mmengine - INFO - Epoch(train) [57][1040/3757] lr: 7.7960e-03 eta: 2 days, 3:09:08 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 6.1679 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1865 loss: 2.1865 2022/07/27 16:53:17 - mmengine - INFO - Epoch(train) [57][1060/3757] lr: 7.7960e-03 eta: 2 days, 3:09:00 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 6.1585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0201 loss: 2.0201 2022/07/27 16:53:25 - mmengine - INFO - Epoch(train) [57][1080/3757] lr: 7.7960e-03 eta: 2 days, 3:08:52 time: 0.3982 data_time: 0.0149 memory: 17007 grad_norm: 6.2286 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4399 loss: 2.4399 2022/07/27 16:53:33 - mmengine - INFO - Epoch(train) [57][1100/3757] lr: 7.7960e-03 eta: 2 days, 3:08:44 time: 0.3976 data_time: 0.0146 memory: 17007 grad_norm: 6.2787 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4528 loss: 2.4528 2022/07/27 16:53:41 - mmengine - INFO - Epoch(train) [57][1120/3757] lr: 7.7960e-03 eta: 2 days, 3:08:36 time: 0.3963 data_time: 0.0168 memory: 17007 grad_norm: 6.1661 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3921 loss: 2.3921 2022/07/27 16:53:49 - mmengine - INFO - Epoch(train) [57][1140/3757] lr: 7.7960e-03 eta: 2 days, 3:08:28 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 6.1079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2111 loss: 2.2111 2022/07/27 16:53:57 - mmengine - INFO - Epoch(train) [57][1160/3757] lr: 7.7960e-03 eta: 2 days, 3:08:20 time: 0.3960 data_time: 0.0154 memory: 17007 grad_norm: 6.1174 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1780 loss: 2.1780 2022/07/27 16:54:05 - mmengine - INFO - Epoch(train) [57][1180/3757] lr: 7.7960e-03 eta: 2 days, 3:08:12 time: 0.4011 data_time: 0.0168 memory: 17007 grad_norm: 6.2768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1751 loss: 2.1751 2022/07/27 16:54:13 - mmengine - INFO - Epoch(train) [57][1200/3757] lr: 7.7960e-03 eta: 2 days, 3:08:04 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 6.2980 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2377 loss: 2.2377 2022/07/27 16:54:21 - mmengine - INFO - Epoch(train) [57][1220/3757] lr: 7.7960e-03 eta: 2 days, 3:07:56 time: 0.3959 data_time: 0.0151 memory: 17007 grad_norm: 6.1043 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4607 loss: 2.4607 2022/07/27 16:54:29 - mmengine - INFO - Epoch(train) [57][1240/3757] lr: 7.7960e-03 eta: 2 days, 3:07:48 time: 0.3938 data_time: 0.0140 memory: 17007 grad_norm: 5.8027 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0779 loss: 2.0779 2022/07/27 16:54:37 - mmengine - INFO - Epoch(train) [57][1260/3757] lr: 7.7960e-03 eta: 2 days, 3:07:42 time: 0.4233 data_time: 0.0142 memory: 17007 grad_norm: 6.3469 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7613 loss: 2.7613 2022/07/27 16:54:45 - mmengine - INFO - Epoch(train) [57][1280/3757] lr: 7.7960e-03 eta: 2 days, 3:07:34 time: 0.3952 data_time: 0.0167 memory: 17007 grad_norm: 6.0845 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3619 loss: 2.3619 2022/07/27 16:54:53 - mmengine - INFO - Epoch(train) [57][1300/3757] lr: 7.7960e-03 eta: 2 days, 3:07:26 time: 0.3983 data_time: 0.0152 memory: 17007 grad_norm: 6.1515 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.3920 loss: 2.3920 2022/07/27 16:55:01 - mmengine - INFO - Epoch(train) [57][1320/3757] lr: 7.7960e-03 eta: 2 days, 3:07:18 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 6.0746 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3510 loss: 2.3510 2022/07/27 16:55:09 - mmengine - INFO - Epoch(train) [57][1340/3757] lr: 7.7960e-03 eta: 2 days, 3:07:10 time: 0.3947 data_time: 0.0140 memory: 17007 grad_norm: 6.1579 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6564 loss: 2.6564 2022/07/27 16:55:17 - mmengine - INFO - Epoch(train) [57][1360/3757] lr: 7.7960e-03 eta: 2 days, 3:07:02 time: 0.4044 data_time: 0.0153 memory: 17007 grad_norm: 6.0832 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2586 loss: 2.2586 2022/07/27 16:55:25 - mmengine - INFO - Epoch(train) [57][1380/3757] lr: 7.7960e-03 eta: 2 days, 3:06:54 time: 0.3959 data_time: 0.0167 memory: 17007 grad_norm: 6.3932 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7491 loss: 2.7491 2022/07/27 16:55:33 - mmengine - INFO - Epoch(train) [57][1400/3757] lr: 7.7960e-03 eta: 2 days, 3:06:46 time: 0.3953 data_time: 0.0154 memory: 17007 grad_norm: 6.5752 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3521 loss: 2.3521 2022/07/27 16:55:40 - mmengine - INFO - Epoch(train) [57][1420/3757] lr: 7.7960e-03 eta: 2 days, 3:06:38 time: 0.3918 data_time: 0.0145 memory: 17007 grad_norm: 6.4422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1697 loss: 2.1697 2022/07/27 16:55:48 - mmengine - INFO - Epoch(train) [57][1440/3757] lr: 7.7960e-03 eta: 2 days, 3:06:30 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 6.2096 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4297 loss: 2.4297 2022/07/27 16:55:56 - mmengine - INFO - Epoch(train) [57][1460/3757] lr: 7.7960e-03 eta: 2 days, 3:06:22 time: 0.3923 data_time: 0.0146 memory: 17007 grad_norm: 6.1821 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4146 loss: 2.4146 2022/07/27 16:56:04 - mmengine - INFO - Epoch(train) [57][1480/3757] lr: 7.7960e-03 eta: 2 days, 3:06:15 time: 0.4072 data_time: 0.0179 memory: 17007 grad_norm: 6.1611 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2340 loss: 2.2340 2022/07/27 16:56:12 - mmengine - INFO - Epoch(train) [57][1500/3757] lr: 7.7960e-03 eta: 2 days, 3:06:07 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 6.1527 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3763 loss: 2.3763 2022/07/27 16:56:20 - mmengine - INFO - Epoch(train) [57][1520/3757] lr: 7.7960e-03 eta: 2 days, 3:05:58 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 5.9836 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1158 loss: 2.1158 2022/07/27 16:56:28 - mmengine - INFO - Epoch(train) [57][1540/3757] lr: 7.7960e-03 eta: 2 days, 3:05:51 time: 0.4002 data_time: 0.0159 memory: 17007 grad_norm: 6.1696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4663 loss: 2.4663 2022/07/27 16:56:36 - mmengine - INFO - Epoch(train) [57][1560/3757] lr: 7.7960e-03 eta: 2 days, 3:05:43 time: 0.3988 data_time: 0.0177 memory: 17007 grad_norm: 6.1290 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4491 loss: 2.4491 2022/07/27 16:56:44 - mmengine - INFO - Epoch(train) [57][1580/3757] lr: 7.7960e-03 eta: 2 days, 3:05:35 time: 0.3913 data_time: 0.0144 memory: 17007 grad_norm: 6.2151 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5761 loss: 2.5761 2022/07/27 16:56:52 - mmengine - INFO - Epoch(train) [57][1600/3757] lr: 7.7960e-03 eta: 2 days, 3:05:27 time: 0.3979 data_time: 0.0168 memory: 17007 grad_norm: 6.1597 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6735 loss: 2.6735 2022/07/27 16:56:55 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 16:57:00 - mmengine - INFO - Epoch(train) [57][1620/3757] lr: 7.7960e-03 eta: 2 days, 3:05:19 time: 0.3926 data_time: 0.0150 memory: 17007 grad_norm: 5.7333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1211 loss: 2.1211 2022/07/27 16:57:08 - mmengine - INFO - Epoch(train) [57][1640/3757] lr: 7.7960e-03 eta: 2 days, 3:05:11 time: 0.3928 data_time: 0.0147 memory: 17007 grad_norm: 6.0123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0639 loss: 2.0639 2022/07/27 16:57:16 - mmengine - INFO - Epoch(train) [57][1660/3757] lr: 7.7960e-03 eta: 2 days, 3:05:03 time: 0.4011 data_time: 0.0163 memory: 17007 grad_norm: 6.3896 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2095 loss: 2.2095 2022/07/27 16:57:24 - mmengine - INFO - Epoch(train) [57][1680/3757] lr: 7.7960e-03 eta: 2 days, 3:04:55 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 6.2925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3799 loss: 2.3799 2022/07/27 16:57:32 - mmengine - INFO - Epoch(train) [57][1700/3757] lr: 7.7960e-03 eta: 2 days, 3:04:48 time: 0.4034 data_time: 0.0148 memory: 17007 grad_norm: 6.1132 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6268 loss: 2.6268 2022/07/27 16:57:39 - mmengine - INFO - Epoch(train) [57][1720/3757] lr: 7.7960e-03 eta: 2 days, 3:04:39 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 6.1171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4459 loss: 2.4459 2022/07/27 16:57:47 - mmengine - INFO - Epoch(train) [57][1740/3757] lr: 7.7960e-03 eta: 2 days, 3:04:31 time: 0.3924 data_time: 0.0141 memory: 17007 grad_norm: 6.1591 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4540 loss: 2.4540 2022/07/27 16:57:55 - mmengine - INFO - Epoch(train) [57][1760/3757] lr: 7.7960e-03 eta: 2 days, 3:04:24 time: 0.4008 data_time: 0.0185 memory: 17007 grad_norm: 6.1466 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2437 loss: 2.2437 2022/07/27 16:58:03 - mmengine - INFO - Epoch(train) [57][1780/3757] lr: 7.7960e-03 eta: 2 days, 3:04:16 time: 0.3913 data_time: 0.0142 memory: 17007 grad_norm: 6.2134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5228 loss: 2.5228 2022/07/27 16:58:11 - mmengine - INFO - Epoch(train) [57][1800/3757] lr: 7.7960e-03 eta: 2 days, 3:04:08 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 6.3424 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3003 loss: 2.3003 2022/07/27 16:58:19 - mmengine - INFO - Epoch(train) [57][1820/3757] lr: 7.7960e-03 eta: 2 days, 3:04:00 time: 0.3948 data_time: 0.0133 memory: 17007 grad_norm: 5.9922 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2325 loss: 2.2325 2022/07/27 16:58:27 - mmengine - INFO - Epoch(train) [57][1840/3757] lr: 7.7960e-03 eta: 2 days, 3:03:52 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 6.1309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8467 loss: 2.8467 2022/07/27 16:58:35 - mmengine - INFO - Epoch(train) [57][1860/3757] lr: 7.7960e-03 eta: 2 days, 3:03:44 time: 0.3947 data_time: 0.0152 memory: 17007 grad_norm: 6.3321 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2082 loss: 2.2082 2022/07/27 16:58:43 - mmengine - INFO - Epoch(train) [57][1880/3757] lr: 7.7960e-03 eta: 2 days, 3:03:36 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 6.4404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2646 loss: 2.2646 2022/07/27 16:58:51 - mmengine - INFO - Epoch(train) [57][1900/3757] lr: 7.7960e-03 eta: 2 days, 3:03:27 time: 0.3913 data_time: 0.0145 memory: 17007 grad_norm: 6.2173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6015 loss: 2.6015 2022/07/27 16:58:59 - mmengine - INFO - Epoch(train) [57][1920/3757] lr: 7.7960e-03 eta: 2 days, 3:03:20 time: 0.4131 data_time: 0.0157 memory: 17007 grad_norm: 5.9930 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3059 loss: 2.3059 2022/07/27 16:59:07 - mmengine - INFO - Epoch(train) [57][1940/3757] lr: 7.7960e-03 eta: 2 days, 3:03:12 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 6.1084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2687 loss: 2.2687 2022/07/27 16:59:15 - mmengine - INFO - Epoch(train) [57][1960/3757] lr: 7.7960e-03 eta: 2 days, 3:03:04 time: 0.3954 data_time: 0.0163 memory: 17007 grad_norm: 6.1988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3554 loss: 2.3554 2022/07/27 16:59:23 - mmengine - INFO - Epoch(train) [57][1980/3757] lr: 7.7960e-03 eta: 2 days, 3:02:56 time: 0.3965 data_time: 0.0147 memory: 17007 grad_norm: 6.1996 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4288 loss: 2.4288 2022/07/27 16:59:30 - mmengine - INFO - Epoch(train) [57][2000/3757] lr: 7.7960e-03 eta: 2 days, 3:02:48 time: 0.3925 data_time: 0.0148 memory: 17007 grad_norm: 6.1851 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3714 loss: 2.3714 2022/07/27 16:59:38 - mmengine - INFO - Epoch(train) [57][2020/3757] lr: 7.7960e-03 eta: 2 days, 3:02:40 time: 0.4004 data_time: 0.0167 memory: 17007 grad_norm: 6.2596 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4243 loss: 2.4243 2022/07/27 16:59:46 - mmengine - INFO - Epoch(train) [57][2040/3757] lr: 7.7960e-03 eta: 2 days, 3:02:32 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 6.1493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5114 loss: 2.5114 2022/07/27 16:59:54 - mmengine - INFO - Epoch(train) [57][2060/3757] lr: 7.7960e-03 eta: 2 days, 3:02:25 time: 0.4066 data_time: 0.0155 memory: 17007 grad_norm: 5.9801 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3982 loss: 2.3982 2022/07/27 17:00:02 - mmengine - INFO - Epoch(train) [57][2080/3757] lr: 7.7960e-03 eta: 2 days, 3:02:17 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 6.2085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2750 loss: 2.2750 2022/07/27 17:00:10 - mmengine - INFO - Epoch(train) [57][2100/3757] lr: 7.7960e-03 eta: 2 days, 3:02:09 time: 0.3922 data_time: 0.0143 memory: 17007 grad_norm: 6.2141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1069 loss: 2.1069 2022/07/27 17:00:18 - mmengine - INFO - Epoch(train) [57][2120/3757] lr: 7.7960e-03 eta: 2 days, 3:02:01 time: 0.4052 data_time: 0.0158 memory: 17007 grad_norm: 6.1715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2762 loss: 2.2762 2022/07/27 17:00:26 - mmengine - INFO - Epoch(train) [57][2140/3757] lr: 7.7960e-03 eta: 2 days, 3:01:53 time: 0.3922 data_time: 0.0142 memory: 17007 grad_norm: 6.1427 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3305 loss: 2.3305 2022/07/27 17:00:34 - mmengine - INFO - Epoch(train) [57][2160/3757] lr: 7.7960e-03 eta: 2 days, 3:01:46 time: 0.4141 data_time: 0.0156 memory: 17007 grad_norm: 6.2787 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1105 loss: 2.1105 2022/07/27 17:00:42 - mmengine - INFO - Epoch(train) [57][2180/3757] lr: 7.7960e-03 eta: 2 days, 3:01:38 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 6.3915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3251 loss: 2.3251 2022/07/27 17:00:50 - mmengine - INFO - Epoch(train) [57][2200/3757] lr: 7.7960e-03 eta: 2 days, 3:01:30 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 6.0929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3572 loss: 2.3572 2022/07/27 17:00:58 - mmengine - INFO - Epoch(train) [57][2220/3757] lr: 7.7960e-03 eta: 2 days, 3:01:22 time: 0.4021 data_time: 0.0158 memory: 17007 grad_norm: 6.3070 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2785 loss: 2.2785 2022/07/27 17:01:06 - mmengine - INFO - Epoch(train) [57][2240/3757] lr: 7.7960e-03 eta: 2 days, 3:01:14 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 6.1947 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2840 loss: 2.2840 2022/07/27 17:01:14 - mmengine - INFO - Epoch(train) [57][2260/3757] lr: 7.7960e-03 eta: 2 days, 3:01:06 time: 0.4001 data_time: 0.0147 memory: 17007 grad_norm: 6.3726 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3065 loss: 2.3065 2022/07/27 17:01:22 - mmengine - INFO - Epoch(train) [57][2280/3757] lr: 7.7960e-03 eta: 2 days, 3:00:58 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 6.3291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6030 loss: 2.6030 2022/07/27 17:01:30 - mmengine - INFO - Epoch(train) [57][2300/3757] lr: 7.7960e-03 eta: 2 days, 3:00:50 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 6.1644 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2651 loss: 2.2651 2022/07/27 17:01:38 - mmengine - INFO - Epoch(train) [57][2320/3757] lr: 7.7960e-03 eta: 2 days, 3:00:43 time: 0.4049 data_time: 0.0162 memory: 17007 grad_norm: 6.1224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0422 loss: 2.0422 2022/07/27 17:01:46 - mmengine - INFO - Epoch(train) [57][2340/3757] lr: 7.7960e-03 eta: 2 days, 3:00:35 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 6.1319 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2504 loss: 2.2504 2022/07/27 17:01:54 - mmengine - INFO - Epoch(train) [57][2360/3757] lr: 7.7960e-03 eta: 2 days, 3:00:27 time: 0.3978 data_time: 0.0166 memory: 17007 grad_norm: 6.0198 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2110 loss: 2.2110 2022/07/27 17:02:02 - mmengine - INFO - Epoch(train) [57][2380/3757] lr: 7.7960e-03 eta: 2 days, 3:00:19 time: 0.3915 data_time: 0.0146 memory: 17007 grad_norm: 6.2850 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5165 loss: 2.5165 2022/07/27 17:02:09 - mmengine - INFO - Epoch(train) [57][2400/3757] lr: 7.7960e-03 eta: 2 days, 3:00:11 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 6.3800 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3835 loss: 2.3835 2022/07/27 17:02:17 - mmengine - INFO - Epoch(train) [57][2420/3757] lr: 7.7960e-03 eta: 2 days, 3:00:03 time: 0.4020 data_time: 0.0169 memory: 17007 grad_norm: 6.1198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5074 loss: 2.5074 2022/07/27 17:02:25 - mmengine - INFO - Epoch(train) [57][2440/3757] lr: 7.7960e-03 eta: 2 days, 2:59:55 time: 0.3933 data_time: 0.0168 memory: 17007 grad_norm: 7.8187 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4930 loss: 2.4930 2022/07/27 17:02:33 - mmengine - INFO - Epoch(train) [57][2460/3757] lr: 7.7960e-03 eta: 2 days, 2:59:47 time: 0.3939 data_time: 0.0153 memory: 17007 grad_norm: 6.5642 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2478 loss: 2.2478 2022/07/27 17:02:41 - mmengine - INFO - Epoch(train) [57][2480/3757] lr: 7.7960e-03 eta: 2 days, 2:59:39 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 6.3973 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5245 loss: 2.5245 2022/07/27 17:02:49 - mmengine - INFO - Epoch(train) [57][2500/3757] lr: 7.7960e-03 eta: 2 days, 2:59:31 time: 0.3913 data_time: 0.0147 memory: 17007 grad_norm: 6.0982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2194 loss: 2.2194 2022/07/27 17:02:57 - mmengine - INFO - Epoch(train) [57][2520/3757] lr: 7.7960e-03 eta: 2 days, 2:59:23 time: 0.3989 data_time: 0.0164 memory: 17007 grad_norm: 6.1803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0659 loss: 2.0659 2022/07/27 17:03:05 - mmengine - INFO - Epoch(train) [57][2540/3757] lr: 7.7960e-03 eta: 2 days, 2:59:15 time: 0.3916 data_time: 0.0144 memory: 17007 grad_norm: 6.2793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2383 loss: 2.2383 2022/07/27 17:03:13 - mmengine - INFO - Epoch(train) [57][2560/3757] lr: 7.7960e-03 eta: 2 days, 2:59:07 time: 0.3993 data_time: 0.0160 memory: 17007 grad_norm: 5.9621 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0558 loss: 2.0558 2022/07/27 17:03:21 - mmengine - INFO - Epoch(train) [57][2580/3757] lr: 7.7960e-03 eta: 2 days, 2:58:59 time: 0.3919 data_time: 0.0134 memory: 17007 grad_norm: 6.3170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1994 loss: 2.1994 2022/07/27 17:03:28 - mmengine - INFO - Epoch(train) [57][2600/3757] lr: 7.7960e-03 eta: 2 days, 2:58:51 time: 0.3919 data_time: 0.0147 memory: 17007 grad_norm: 6.2362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3286 loss: 2.3286 2022/07/27 17:03:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:03:36 - mmengine - INFO - Epoch(train) [57][2620/3757] lr: 7.7960e-03 eta: 2 days, 2:58:43 time: 0.4008 data_time: 0.0159 memory: 17007 grad_norm: 6.4368 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3365 loss: 2.3365 2022/07/27 17:03:44 - mmengine - INFO - Epoch(train) [57][2640/3757] lr: 7.7960e-03 eta: 2 days, 2:58:35 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 6.1117 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4448 loss: 2.4448 2022/07/27 17:03:53 - mmengine - INFO - Epoch(train) [57][2660/3757] lr: 7.7960e-03 eta: 2 days, 2:58:28 time: 0.4131 data_time: 0.0158 memory: 17007 grad_norm: 6.0105 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1895 loss: 2.1895 2022/07/27 17:04:00 - mmengine - INFO - Epoch(train) [57][2680/3757] lr: 7.7960e-03 eta: 2 days, 2:58:20 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 5.9802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3362 loss: 2.3362 2022/07/27 17:04:08 - mmengine - INFO - Epoch(train) [57][2700/3757] lr: 7.7960e-03 eta: 2 days, 2:58:12 time: 0.3915 data_time: 0.0128 memory: 17007 grad_norm: 6.0543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3461 loss: 2.3461 2022/07/27 17:04:16 - mmengine - INFO - Epoch(train) [57][2720/3757] lr: 7.7960e-03 eta: 2 days, 2:58:04 time: 0.4106 data_time: 0.0167 memory: 17007 grad_norm: 6.4239 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4015 loss: 2.4015 2022/07/27 17:04:24 - mmengine - INFO - Epoch(train) [57][2740/3757] lr: 7.7960e-03 eta: 2 days, 2:57:56 time: 0.3950 data_time: 0.0147 memory: 17007 grad_norm: 6.2288 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2719 loss: 2.2719 2022/07/27 17:04:32 - mmengine - INFO - Epoch(train) [57][2760/3757] lr: 7.7960e-03 eta: 2 days, 2:57:48 time: 0.3960 data_time: 0.0160 memory: 17007 grad_norm: 6.3481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5416 loss: 2.5416 2022/07/27 17:04:40 - mmengine - INFO - Epoch(train) [57][2780/3757] lr: 7.7960e-03 eta: 2 days, 2:57:40 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 6.3494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3202 loss: 2.3202 2022/07/27 17:04:48 - mmengine - INFO - Epoch(train) [57][2800/3757] lr: 7.7960e-03 eta: 2 days, 2:57:33 time: 0.3988 data_time: 0.0159 memory: 17007 grad_norm: 6.4391 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3126 loss: 2.3126 2022/07/27 17:04:56 - mmengine - INFO - Epoch(train) [57][2820/3757] lr: 7.7960e-03 eta: 2 days, 2:57:25 time: 0.3919 data_time: 0.0143 memory: 17007 grad_norm: 6.2703 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3401 loss: 2.3401 2022/07/27 17:05:04 - mmengine - INFO - Epoch(train) [57][2840/3757] lr: 7.7960e-03 eta: 2 days, 2:57:17 time: 0.3980 data_time: 0.0167 memory: 17007 grad_norm: 6.1270 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2425 loss: 2.2425 2022/07/27 17:05:12 - mmengine - INFO - Epoch(train) [57][2860/3757] lr: 7.7960e-03 eta: 2 days, 2:57:09 time: 0.3944 data_time: 0.0146 memory: 17007 grad_norm: 6.1707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3309 loss: 2.3309 2022/07/27 17:05:20 - mmengine - INFO - Epoch(train) [57][2880/3757] lr: 7.7960e-03 eta: 2 days, 2:57:01 time: 0.3926 data_time: 0.0150 memory: 17007 grad_norm: 6.2187 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2536 loss: 2.2536 2022/07/27 17:05:28 - mmengine - INFO - Epoch(train) [57][2900/3757] lr: 7.7960e-03 eta: 2 days, 2:56:53 time: 0.4086 data_time: 0.0169 memory: 17007 grad_norm: 6.1086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2241 loss: 2.2241 2022/07/27 17:05:36 - mmengine - INFO - Epoch(train) [57][2920/3757] lr: 7.7960e-03 eta: 2 days, 2:56:45 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 6.0964 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4171 loss: 2.4171 2022/07/27 17:05:44 - mmengine - INFO - Epoch(train) [57][2940/3757] lr: 7.7960e-03 eta: 2 days, 2:56:38 time: 0.4207 data_time: 0.0140 memory: 17007 grad_norm: 6.1215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1517 loss: 2.1517 2022/07/27 17:05:52 - mmengine - INFO - Epoch(train) [57][2960/3757] lr: 7.7960e-03 eta: 2 days, 2:56:30 time: 0.3930 data_time: 0.0158 memory: 17007 grad_norm: 6.1190 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4213 loss: 2.4213 2022/07/27 17:06:00 - mmengine - INFO - Epoch(train) [57][2980/3757] lr: 7.7960e-03 eta: 2 days, 2:56:23 time: 0.4049 data_time: 0.0166 memory: 17007 grad_norm: 5.9939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4199 loss: 2.4199 2022/07/27 17:06:08 - mmengine - INFO - Epoch(train) [57][3000/3757] lr: 7.7960e-03 eta: 2 days, 2:56:15 time: 0.3995 data_time: 0.0153 memory: 17007 grad_norm: 5.8069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2309 loss: 2.2309 2022/07/27 17:06:17 - mmengine - INFO - Epoch(train) [57][3020/3757] lr: 7.7960e-03 eta: 2 days, 2:56:09 time: 0.4436 data_time: 0.0163 memory: 17007 grad_norm: 5.9174 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4017 loss: 2.4017 2022/07/27 17:06:25 - mmengine - INFO - Epoch(train) [57][3040/3757] lr: 7.7960e-03 eta: 2 days, 2:56:02 time: 0.4103 data_time: 0.0161 memory: 17007 grad_norm: 5.9964 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8307 loss: 2.8307 2022/07/27 17:06:33 - mmengine - INFO - Epoch(train) [57][3060/3757] lr: 7.7960e-03 eta: 2 days, 2:55:54 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 6.3734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4191 loss: 2.4191 2022/07/27 17:06:41 - mmengine - INFO - Epoch(train) [57][3080/3757] lr: 7.7960e-03 eta: 2 days, 2:55:46 time: 0.3922 data_time: 0.0149 memory: 17007 grad_norm: 6.2695 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4161 loss: 2.4161 2022/07/27 17:06:49 - mmengine - INFO - Epoch(train) [57][3100/3757] lr: 7.7960e-03 eta: 2 days, 2:55:38 time: 0.4026 data_time: 0.0150 memory: 17007 grad_norm: 6.2282 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3691 loss: 2.3691 2022/07/27 17:06:57 - mmengine - INFO - Epoch(train) [57][3120/3757] lr: 7.7960e-03 eta: 2 days, 2:55:30 time: 0.3964 data_time: 0.0160 memory: 17007 grad_norm: 6.3522 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3708 loss: 2.3708 2022/07/27 17:07:05 - mmengine - INFO - Epoch(train) [57][3140/3757] lr: 7.7960e-03 eta: 2 days, 2:55:22 time: 0.3926 data_time: 0.0150 memory: 17007 grad_norm: 6.1498 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3358 loss: 2.3358 2022/07/27 17:07:13 - mmengine - INFO - Epoch(train) [57][3160/3757] lr: 7.7960e-03 eta: 2 days, 2:55:14 time: 0.3993 data_time: 0.0178 memory: 17007 grad_norm: 6.0689 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4988 loss: 2.4988 2022/07/27 17:07:21 - mmengine - INFO - Epoch(train) [57][3180/3757] lr: 7.7960e-03 eta: 2 days, 2:55:06 time: 0.3917 data_time: 0.0141 memory: 17007 grad_norm: 6.1812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1005 loss: 2.1005 2022/07/27 17:07:29 - mmengine - INFO - Epoch(train) [57][3200/3757] lr: 7.7960e-03 eta: 2 days, 2:54:58 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 6.4712 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5721 loss: 2.5721 2022/07/27 17:07:37 - mmengine - INFO - Epoch(train) [57][3220/3757] lr: 7.7960e-03 eta: 2 days, 2:54:50 time: 0.3980 data_time: 0.0180 memory: 17007 grad_norm: 6.0873 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1933 loss: 2.1933 2022/07/27 17:07:45 - mmengine - INFO - Epoch(train) [57][3240/3757] lr: 7.7960e-03 eta: 2 days, 2:54:42 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 6.1109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5191 loss: 2.5191 2022/07/27 17:07:52 - mmengine - INFO - Epoch(train) [57][3260/3757] lr: 7.7960e-03 eta: 2 days, 2:54:34 time: 0.3968 data_time: 0.0172 memory: 17007 grad_norm: 6.1199 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3697 loss: 2.3697 2022/07/27 17:08:00 - mmengine - INFO - Epoch(train) [57][3280/3757] lr: 7.7960e-03 eta: 2 days, 2:54:26 time: 0.3913 data_time: 0.0151 memory: 17007 grad_norm: 6.2281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3054 loss: 2.3054 2022/07/27 17:08:08 - mmengine - INFO - Epoch(train) [57][3300/3757] lr: 7.7960e-03 eta: 2 days, 2:54:18 time: 0.3924 data_time: 0.0155 memory: 17007 grad_norm: 6.2934 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4111 loss: 2.4111 2022/07/27 17:08:16 - mmengine - INFO - Epoch(train) [57][3320/3757] lr: 7.7960e-03 eta: 2 days, 2:54:10 time: 0.4001 data_time: 0.0177 memory: 17007 grad_norm: 6.3786 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3826 loss: 2.3826 2022/07/27 17:08:24 - mmengine - INFO - Epoch(train) [57][3340/3757] lr: 7.7960e-03 eta: 2 days, 2:54:02 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 6.4744 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.6371 loss: 2.6371 2022/07/27 17:08:32 - mmengine - INFO - Epoch(train) [57][3360/3757] lr: 7.7960e-03 eta: 2 days, 2:53:54 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 6.2193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5127 loss: 2.5127 2022/07/27 17:08:40 - mmengine - INFO - Epoch(train) [57][3380/3757] lr: 7.7960e-03 eta: 2 days, 2:53:46 time: 0.3959 data_time: 0.0173 memory: 17007 grad_norm: 6.1125 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5230 loss: 2.5230 2022/07/27 17:08:48 - mmengine - INFO - Epoch(train) [57][3400/3757] lr: 7.7960e-03 eta: 2 days, 2:53:38 time: 0.3921 data_time: 0.0155 memory: 17007 grad_norm: 6.3563 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3610 loss: 2.3610 2022/07/27 17:08:56 - mmengine - INFO - Epoch(train) [57][3420/3757] lr: 7.7960e-03 eta: 2 days, 2:53:31 time: 0.4027 data_time: 0.0162 memory: 17007 grad_norm: 6.1318 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1498 loss: 2.1498 2022/07/27 17:09:04 - mmengine - INFO - Epoch(train) [57][3440/3757] lr: 7.7960e-03 eta: 2 days, 2:53:23 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 6.0619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3734 loss: 2.3734 2022/07/27 17:09:12 - mmengine - INFO - Epoch(train) [57][3460/3757] lr: 7.7960e-03 eta: 2 days, 2:53:15 time: 0.3919 data_time: 0.0143 memory: 17007 grad_norm: 6.2263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2905 loss: 2.2905 2022/07/27 17:09:19 - mmengine - INFO - Epoch(train) [57][3480/3757] lr: 7.7960e-03 eta: 2 days, 2:53:07 time: 0.3989 data_time: 0.0166 memory: 17007 grad_norm: 6.5582 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7583 loss: 2.7583 2022/07/27 17:09:27 - mmengine - INFO - Epoch(train) [57][3500/3757] lr: 7.7960e-03 eta: 2 days, 2:52:59 time: 0.3922 data_time: 0.0145 memory: 17007 grad_norm: 5.9065 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3925 loss: 2.3925 2022/07/27 17:09:36 - mmengine - INFO - Epoch(train) [57][3520/3757] lr: 7.7960e-03 eta: 2 days, 2:52:52 time: 0.4213 data_time: 0.0172 memory: 17007 grad_norm: 6.3101 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4975 loss: 2.4975 2022/07/27 17:09:44 - mmengine - INFO - Epoch(train) [57][3540/3757] lr: 7.7960e-03 eta: 2 days, 2:52:44 time: 0.3955 data_time: 0.0165 memory: 17007 grad_norm: 6.1789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2679 loss: 2.2679 2022/07/27 17:09:52 - mmengine - INFO - Epoch(train) [57][3560/3757] lr: 7.7960e-03 eta: 2 days, 2:52:36 time: 0.3913 data_time: 0.0150 memory: 17007 grad_norm: 6.2450 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4203 loss: 2.4203 2022/07/27 17:10:00 - mmengine - INFO - Epoch(train) [57][3580/3757] lr: 7.7960e-03 eta: 2 days, 2:52:29 time: 0.4106 data_time: 0.0160 memory: 17007 grad_norm: 6.2388 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3163 loss: 2.3163 2022/07/27 17:10:08 - mmengine - INFO - Epoch(train) [57][3600/3757] lr: 7.7960e-03 eta: 2 days, 2:52:21 time: 0.3950 data_time: 0.0169 memory: 17007 grad_norm: 6.3689 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5256 loss: 2.5256 2022/07/27 17:10:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:10:16 - mmengine - INFO - Epoch(train) [57][3620/3757] lr: 7.7960e-03 eta: 2 days, 2:52:13 time: 0.4090 data_time: 0.0164 memory: 17007 grad_norm: 6.2796 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3209 loss: 2.3209 2022/07/27 17:10:24 - mmengine - INFO - Epoch(train) [57][3640/3757] lr: 7.7960e-03 eta: 2 days, 2:52:06 time: 0.4189 data_time: 0.0168 memory: 17007 grad_norm: 6.0933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4975 loss: 2.4975 2022/07/27 17:10:32 - mmengine - INFO - Epoch(train) [57][3660/3757] lr: 7.7960e-03 eta: 2 days, 2:51:58 time: 0.3903 data_time: 0.0142 memory: 17007 grad_norm: 6.2290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1427 loss: 2.1427 2022/07/27 17:10:40 - mmengine - INFO - Epoch(train) [57][3680/3757] lr: 7.7960e-03 eta: 2 days, 2:51:51 time: 0.4061 data_time: 0.0167 memory: 17007 grad_norm: 6.1956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3693 loss: 2.3693 2022/07/27 17:10:48 - mmengine - INFO - Epoch(train) [57][3700/3757] lr: 7.7960e-03 eta: 2 days, 2:51:43 time: 0.3932 data_time: 0.0144 memory: 17007 grad_norm: 6.0919 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3000 loss: 2.3000 2022/07/27 17:10:56 - mmengine - INFO - Epoch(train) [57][3720/3757] lr: 7.7960e-03 eta: 2 days, 2:51:35 time: 0.4007 data_time: 0.0157 memory: 17007 grad_norm: 6.2884 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3672 loss: 2.3672 2022/07/27 17:11:04 - mmengine - INFO - Epoch(train) [57][3740/3757] lr: 7.7960e-03 eta: 2 days, 2:51:27 time: 0.3931 data_time: 0.0139 memory: 17007 grad_norm: 6.1923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9304 loss: 1.9304 2022/07/27 17:11:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:11:11 - mmengine - INFO - Epoch(train) [57][3757/3757] lr: 7.7960e-03 eta: 2 days, 2:51:27 time: 0.3897 data_time: 0.0150 memory: 17007 grad_norm: 6.2319 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 2.2620 loss: 2.2620 2022/07/27 17:11:11 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/07/27 17:11:22 - mmengine - INFO - Epoch(train) [58][20/3757] lr: 7.7232e-03 eta: 2 days, 2:50:59 time: 0.4385 data_time: 0.0639 memory: 17007 grad_norm: 5.9330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0950 loss: 2.0950 2022/07/27 17:11:30 - mmengine - INFO - Epoch(train) [58][40/3757] lr: 7.7232e-03 eta: 2 days, 2:50:52 time: 0.4098 data_time: 0.0156 memory: 17007 grad_norm: 6.1720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2366 loss: 2.2366 2022/07/27 17:11:38 - mmengine - INFO - Epoch(train) [58][60/3757] lr: 7.7232e-03 eta: 2 days, 2:50:44 time: 0.3920 data_time: 0.0144 memory: 17007 grad_norm: 6.1161 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0844 loss: 2.0844 2022/07/27 17:11:46 - mmengine - INFO - Epoch(train) [58][80/3757] lr: 7.7232e-03 eta: 2 days, 2:50:36 time: 0.4027 data_time: 0.0184 memory: 17007 grad_norm: 6.2891 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2991 loss: 2.2991 2022/07/27 17:11:54 - mmengine - INFO - Epoch(train) [58][100/3757] lr: 7.7232e-03 eta: 2 days, 2:50:28 time: 0.3950 data_time: 0.0147 memory: 17007 grad_norm: 6.0661 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8871 loss: 1.8871 2022/07/27 17:12:02 - mmengine - INFO - Epoch(train) [58][120/3757] lr: 7.7232e-03 eta: 2 days, 2:50:20 time: 0.3927 data_time: 0.0152 memory: 17007 grad_norm: 6.3072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5593 loss: 2.5593 2022/07/27 17:12:10 - mmengine - INFO - Epoch(train) [58][140/3757] lr: 7.7232e-03 eta: 2 days, 2:50:12 time: 0.3982 data_time: 0.0157 memory: 17007 grad_norm: 6.2239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2990 loss: 2.2990 2022/07/27 17:12:18 - mmengine - INFO - Epoch(train) [58][160/3757] lr: 7.7232e-03 eta: 2 days, 2:50:04 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 6.4608 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1666 loss: 2.1666 2022/07/27 17:12:26 - mmengine - INFO - Epoch(train) [58][180/3757] lr: 7.7232e-03 eta: 2 days, 2:49:57 time: 0.4005 data_time: 0.0160 memory: 17007 grad_norm: 6.1075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1626 loss: 2.1626 2022/07/27 17:12:34 - mmengine - INFO - Epoch(train) [58][200/3757] lr: 7.7232e-03 eta: 2 days, 2:49:49 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 6.0175 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0871 loss: 2.0871 2022/07/27 17:12:42 - mmengine - INFO - Epoch(train) [58][220/3757] lr: 7.7232e-03 eta: 2 days, 2:49:41 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 6.3181 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0270 loss: 2.0270 2022/07/27 17:12:50 - mmengine - INFO - Epoch(train) [58][240/3757] lr: 7.7232e-03 eta: 2 days, 2:49:33 time: 0.3940 data_time: 0.0145 memory: 17007 grad_norm: 6.4416 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4174 loss: 2.4174 2022/07/27 17:12:58 - mmengine - INFO - Epoch(train) [58][260/3757] lr: 7.7232e-03 eta: 2 days, 2:49:25 time: 0.3980 data_time: 0.0164 memory: 17007 grad_norm: 6.3201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3874 loss: 2.3874 2022/07/27 17:13:05 - mmengine - INFO - Epoch(train) [58][280/3757] lr: 7.7232e-03 eta: 2 days, 2:49:17 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 6.1955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4948 loss: 2.4948 2022/07/27 17:13:13 - mmengine - INFO - Epoch(train) [58][300/3757] lr: 7.7232e-03 eta: 2 days, 2:49:09 time: 0.3975 data_time: 0.0169 memory: 17007 grad_norm: 6.0927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2336 loss: 2.2336 2022/07/27 17:13:21 - mmengine - INFO - Epoch(train) [58][320/3757] lr: 7.7232e-03 eta: 2 days, 2:49:01 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 6.2656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4650 loss: 2.4650 2022/07/27 17:13:29 - mmengine - INFO - Epoch(train) [58][340/3757] lr: 7.7232e-03 eta: 2 days, 2:48:53 time: 0.3914 data_time: 0.0135 memory: 17007 grad_norm: 6.1803 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4405 loss: 2.4405 2022/07/27 17:13:37 - mmengine - INFO - Epoch(train) [58][360/3757] lr: 7.7232e-03 eta: 2 days, 2:48:45 time: 0.3961 data_time: 0.0161 memory: 17007 grad_norm: 6.2720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3295 loss: 2.3295 2022/07/27 17:13:45 - mmengine - INFO - Epoch(train) [58][380/3757] lr: 7.7232e-03 eta: 2 days, 2:48:37 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 6.4268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1223 loss: 2.1223 2022/07/27 17:13:53 - mmengine - INFO - Epoch(train) [58][400/3757] lr: 7.7232e-03 eta: 2 days, 2:48:29 time: 0.3964 data_time: 0.0146 memory: 17007 grad_norm: 6.3915 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7596 loss: 2.7596 2022/07/27 17:14:01 - mmengine - INFO - Epoch(train) [58][420/3757] lr: 7.7232e-03 eta: 2 days, 2:48:21 time: 0.3948 data_time: 0.0143 memory: 17007 grad_norm: 6.1175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0949 loss: 2.0949 2022/07/27 17:14:09 - mmengine - INFO - Epoch(train) [58][440/3757] lr: 7.7232e-03 eta: 2 days, 2:48:13 time: 0.3930 data_time: 0.0142 memory: 17007 grad_norm: 6.1930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0806 loss: 2.0806 2022/07/27 17:14:17 - mmengine - INFO - Epoch(train) [58][460/3757] lr: 7.7232e-03 eta: 2 days, 2:48:05 time: 0.3988 data_time: 0.0167 memory: 17007 grad_norm: 6.0972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3738 loss: 2.3738 2022/07/27 17:14:24 - mmengine - INFO - Epoch(train) [58][480/3757] lr: 7.7232e-03 eta: 2 days, 2:47:57 time: 0.3961 data_time: 0.0154 memory: 17007 grad_norm: 6.3041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3166 loss: 2.3166 2022/07/27 17:14:32 - mmengine - INFO - Epoch(train) [58][500/3757] lr: 7.7232e-03 eta: 2 days, 2:47:49 time: 0.3914 data_time: 0.0143 memory: 17007 grad_norm: 6.0703 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2349 loss: 2.2349 2022/07/27 17:14:40 - mmengine - INFO - Epoch(train) [58][520/3757] lr: 7.7232e-03 eta: 2 days, 2:47:41 time: 0.3966 data_time: 0.0152 memory: 17007 grad_norm: 6.1453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2141 loss: 2.2141 2022/07/27 17:14:48 - mmengine - INFO - Epoch(train) [58][540/3757] lr: 7.7232e-03 eta: 2 days, 2:47:33 time: 0.4001 data_time: 0.0151 memory: 17007 grad_norm: 6.2250 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6466 loss: 2.6466 2022/07/27 17:14:56 - mmengine - INFO - Epoch(train) [58][560/3757] lr: 7.7232e-03 eta: 2 days, 2:47:25 time: 0.3999 data_time: 0.0173 memory: 17007 grad_norm: 6.2117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2986 loss: 2.2986 2022/07/27 17:15:04 - mmengine - INFO - Epoch(train) [58][580/3757] lr: 7.7232e-03 eta: 2 days, 2:47:17 time: 0.3929 data_time: 0.0132 memory: 17007 grad_norm: 6.1769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1833 loss: 2.1833 2022/07/27 17:15:12 - mmengine - INFO - Epoch(train) [58][600/3757] lr: 7.7232e-03 eta: 2 days, 2:47:09 time: 0.3917 data_time: 0.0141 memory: 17007 grad_norm: 6.4228 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5362 loss: 2.5362 2022/07/27 17:15:20 - mmengine - INFO - Epoch(train) [58][620/3757] lr: 7.7232e-03 eta: 2 days, 2:47:02 time: 0.4088 data_time: 0.0157 memory: 17007 grad_norm: 6.0033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1162 loss: 2.1162 2022/07/27 17:15:28 - mmengine - INFO - Epoch(train) [58][640/3757] lr: 7.7232e-03 eta: 2 days, 2:46:54 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 6.2919 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1750 loss: 2.1750 2022/07/27 17:15:36 - mmengine - INFO - Epoch(train) [58][660/3757] lr: 7.7232e-03 eta: 2 days, 2:46:47 time: 0.4084 data_time: 0.0140 memory: 17007 grad_norm: 6.1471 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1666 loss: 2.1666 2022/07/27 17:15:44 - mmengine - INFO - Epoch(train) [58][680/3757] lr: 7.7232e-03 eta: 2 days, 2:46:39 time: 0.3972 data_time: 0.0164 memory: 17007 grad_norm: 6.2800 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1968 loss: 2.1968 2022/07/27 17:15:52 - mmengine - INFO - Epoch(train) [58][700/3757] lr: 7.7232e-03 eta: 2 days, 2:46:31 time: 0.3915 data_time: 0.0143 memory: 17007 grad_norm: 6.3387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4958 loss: 2.4958 2022/07/27 17:16:00 - mmengine - INFO - Epoch(train) [58][720/3757] lr: 7.7232e-03 eta: 2 days, 2:46:23 time: 0.3997 data_time: 0.0159 memory: 17007 grad_norm: 5.9900 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4687 loss: 2.4687 2022/07/27 17:16:08 - mmengine - INFO - Epoch(train) [58][740/3757] lr: 7.7232e-03 eta: 2 days, 2:46:15 time: 0.3969 data_time: 0.0149 memory: 17007 grad_norm: 6.1335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2764 loss: 2.2764 2022/07/27 17:16:16 - mmengine - INFO - Epoch(train) [58][760/3757] lr: 7.7232e-03 eta: 2 days, 2:46:07 time: 0.3935 data_time: 0.0168 memory: 17007 grad_norm: 6.0756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5226 loss: 2.5226 2022/07/27 17:16:24 - mmengine - INFO - Epoch(train) [58][780/3757] lr: 7.7232e-03 eta: 2 days, 2:45:59 time: 0.4081 data_time: 0.0148 memory: 17007 grad_norm: 6.3293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6868 loss: 2.6868 2022/07/27 17:16:32 - mmengine - INFO - Epoch(train) [58][800/3757] lr: 7.7232e-03 eta: 2 days, 2:45:51 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 6.2223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2691 loss: 2.2691 2022/07/27 17:16:40 - mmengine - INFO - Epoch(train) [58][820/3757] lr: 7.7232e-03 eta: 2 days, 2:45:43 time: 0.3978 data_time: 0.0160 memory: 17007 grad_norm: 6.5245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9517 loss: 1.9517 2022/07/27 17:16:48 - mmengine - INFO - Epoch(train) [58][840/3757] lr: 7.7232e-03 eta: 2 days, 2:45:36 time: 0.3945 data_time: 0.0154 memory: 17007 grad_norm: 6.3496 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2604 loss: 2.2604 2022/07/27 17:16:52 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:16:56 - mmengine - INFO - Epoch(train) [58][860/3757] lr: 7.7232e-03 eta: 2 days, 2:45:28 time: 0.4004 data_time: 0.0169 memory: 17007 grad_norm: 6.1345 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0966 loss: 2.0966 2022/07/27 17:17:04 - mmengine - INFO - Epoch(train) [58][880/3757] lr: 7.7232e-03 eta: 2 days, 2:45:20 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.1974 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1448 loss: 2.1448 2022/07/27 17:17:11 - mmengine - INFO - Epoch(train) [58][900/3757] lr: 7.7232e-03 eta: 2 days, 2:45:12 time: 0.3919 data_time: 0.0139 memory: 17007 grad_norm: 6.2129 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0861 loss: 2.0861 2022/07/27 17:17:20 - mmengine - INFO - Epoch(train) [58][920/3757] lr: 7.7232e-03 eta: 2 days, 2:45:04 time: 0.4099 data_time: 0.0161 memory: 17007 grad_norm: 6.1299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3007 loss: 2.3007 2022/07/27 17:17:28 - mmengine - INFO - Epoch(train) [58][940/3757] lr: 7.7232e-03 eta: 2 days, 2:44:56 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.2595 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6227 loss: 2.6227 2022/07/27 17:17:36 - mmengine - INFO - Epoch(train) [58][960/3757] lr: 7.7232e-03 eta: 2 days, 2:44:49 time: 0.4050 data_time: 0.0138 memory: 17007 grad_norm: 6.2409 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1354 loss: 2.1354 2022/07/27 17:17:43 - mmengine - INFO - Epoch(train) [58][980/3757] lr: 7.7232e-03 eta: 2 days, 2:44:41 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 6.1512 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4476 loss: 2.4476 2022/07/27 17:17:51 - mmengine - INFO - Epoch(train) [58][1000/3757] lr: 7.7232e-03 eta: 2 days, 2:44:33 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 6.3692 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2669 loss: 2.2669 2022/07/27 17:18:00 - mmengine - INFO - Epoch(train) [58][1020/3757] lr: 7.7232e-03 eta: 2 days, 2:44:25 time: 0.4109 data_time: 0.0171 memory: 17007 grad_norm: 6.0935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4920 loss: 2.4920 2022/07/27 17:18:07 - mmengine - INFO - Epoch(train) [58][1040/3757] lr: 7.7232e-03 eta: 2 days, 2:44:17 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 6.1709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2935 loss: 2.2935 2022/07/27 17:18:16 - mmengine - INFO - Epoch(train) [58][1060/3757] lr: 7.7232e-03 eta: 2 days, 2:44:10 time: 0.4034 data_time: 0.0151 memory: 17007 grad_norm: 6.1066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9924 loss: 1.9924 2022/07/27 17:18:23 - mmengine - INFO - Epoch(train) [58][1080/3757] lr: 7.7232e-03 eta: 2 days, 2:44:02 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 6.4610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3104 loss: 2.3104 2022/07/27 17:18:31 - mmengine - INFO - Epoch(train) [58][1100/3757] lr: 7.7232e-03 eta: 2 days, 2:43:54 time: 0.3928 data_time: 0.0137 memory: 17007 grad_norm: 6.4221 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5049 loss: 2.5049 2022/07/27 17:18:39 - mmengine - INFO - Epoch(train) [58][1120/3757] lr: 7.7232e-03 eta: 2 days, 2:43:46 time: 0.4006 data_time: 0.0160 memory: 17007 grad_norm: 6.5980 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7145 loss: 2.7145 2022/07/27 17:18:47 - mmengine - INFO - Epoch(train) [58][1140/3757] lr: 7.7232e-03 eta: 2 days, 2:43:38 time: 0.3919 data_time: 0.0138 memory: 17007 grad_norm: 5.9961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1324 loss: 2.1324 2022/07/27 17:18:55 - mmengine - INFO - Epoch(train) [58][1160/3757] lr: 7.7232e-03 eta: 2 days, 2:43:30 time: 0.4111 data_time: 0.0165 memory: 17007 grad_norm: 6.2632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3198 loss: 2.3198 2022/07/27 17:19:03 - mmengine - INFO - Epoch(train) [58][1180/3757] lr: 7.7232e-03 eta: 2 days, 2:43:22 time: 0.3943 data_time: 0.0147 memory: 17007 grad_norm: 6.2985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9265 loss: 1.9265 2022/07/27 17:19:11 - mmengine - INFO - Epoch(train) [58][1200/3757] lr: 7.7232e-03 eta: 2 days, 2:43:14 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 6.2084 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4625 loss: 2.4625 2022/07/27 17:19:19 - mmengine - INFO - Epoch(train) [58][1220/3757] lr: 7.7232e-03 eta: 2 days, 2:43:07 time: 0.4137 data_time: 0.0168 memory: 17007 grad_norm: 6.2666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3355 loss: 2.3355 2022/07/27 17:19:27 - mmengine - INFO - Epoch(train) [58][1240/3757] lr: 7.7232e-03 eta: 2 days, 2:42:59 time: 0.3932 data_time: 0.0152 memory: 17007 grad_norm: 6.5255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4180 loss: 2.4180 2022/07/27 17:19:35 - mmengine - INFO - Epoch(train) [58][1260/3757] lr: 7.7232e-03 eta: 2 days, 2:42:52 time: 0.4092 data_time: 0.0158 memory: 17007 grad_norm: 6.2426 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1688 loss: 2.1688 2022/07/27 17:19:43 - mmengine - INFO - Epoch(train) [58][1280/3757] lr: 7.7232e-03 eta: 2 days, 2:42:44 time: 0.3942 data_time: 0.0146 memory: 17007 grad_norm: 6.3023 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1927 loss: 2.1927 2022/07/27 17:19:51 - mmengine - INFO - Epoch(train) [58][1300/3757] lr: 7.7232e-03 eta: 2 days, 2:42:36 time: 0.3920 data_time: 0.0140 memory: 17007 grad_norm: 6.4147 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2924 loss: 2.2924 2022/07/27 17:19:59 - mmengine - INFO - Epoch(train) [58][1320/3757] lr: 7.7232e-03 eta: 2 days, 2:42:28 time: 0.4060 data_time: 0.0171 memory: 17007 grad_norm: 6.3166 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4612 loss: 2.4612 2022/07/27 17:20:07 - mmengine - INFO - Epoch(train) [58][1340/3757] lr: 7.7232e-03 eta: 2 days, 2:42:20 time: 0.3920 data_time: 0.0134 memory: 17007 grad_norm: 6.2081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2287 loss: 2.2287 2022/07/27 17:20:15 - mmengine - INFO - Epoch(train) [58][1360/3757] lr: 7.7232e-03 eta: 2 days, 2:42:12 time: 0.4025 data_time: 0.0173 memory: 17007 grad_norm: 6.1913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4941 loss: 2.4941 2022/07/27 17:20:23 - mmengine - INFO - Epoch(train) [58][1380/3757] lr: 7.7232e-03 eta: 2 days, 2:42:04 time: 0.3911 data_time: 0.0139 memory: 17007 grad_norm: 6.0480 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4818 loss: 2.4818 2022/07/27 17:20:31 - mmengine - INFO - Epoch(train) [58][1400/3757] lr: 7.7232e-03 eta: 2 days, 2:41:56 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 6.1450 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1804 loss: 2.1804 2022/07/27 17:20:39 - mmengine - INFO - Epoch(train) [58][1420/3757] lr: 7.7232e-03 eta: 2 days, 2:41:49 time: 0.4045 data_time: 0.0157 memory: 17007 grad_norm: 5.7923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1753 loss: 2.1753 2022/07/27 17:20:47 - mmengine - INFO - Epoch(train) [58][1440/3757] lr: 7.7232e-03 eta: 2 days, 2:41:41 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 6.3737 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2531 loss: 2.2531 2022/07/27 17:20:55 - mmengine - INFO - Epoch(train) [58][1460/3757] lr: 7.7232e-03 eta: 2 days, 2:41:33 time: 0.4055 data_time: 0.0164 memory: 17007 grad_norm: 6.3686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0145 loss: 2.0145 2022/07/27 17:21:03 - mmengine - INFO - Epoch(train) [58][1480/3757] lr: 7.7232e-03 eta: 2 days, 2:41:25 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 6.1342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0792 loss: 2.0792 2022/07/27 17:21:11 - mmengine - INFO - Epoch(train) [58][1500/3757] lr: 7.7232e-03 eta: 2 days, 2:41:17 time: 0.3919 data_time: 0.0146 memory: 17007 grad_norm: 6.2611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4042 loss: 2.4042 2022/07/27 17:21:19 - mmengine - INFO - Epoch(train) [58][1520/3757] lr: 7.7232e-03 eta: 2 days, 2:41:10 time: 0.4080 data_time: 0.0163 memory: 17007 grad_norm: 6.2295 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9669 loss: 1.9669 2022/07/27 17:21:27 - mmengine - INFO - Epoch(train) [58][1540/3757] lr: 7.7232e-03 eta: 2 days, 2:41:02 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 6.2920 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3922 loss: 2.3922 2022/07/27 17:21:35 - mmengine - INFO - Epoch(train) [58][1560/3757] lr: 7.7232e-03 eta: 2 days, 2:40:54 time: 0.3993 data_time: 0.0155 memory: 17007 grad_norm: 6.1662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4355 loss: 2.4355 2022/07/27 17:21:43 - mmengine - INFO - Epoch(train) [58][1580/3757] lr: 7.7232e-03 eta: 2 days, 2:40:46 time: 0.3907 data_time: 0.0151 memory: 17007 grad_norm: 6.0637 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3603 loss: 2.3603 2022/07/27 17:21:51 - mmengine - INFO - Epoch(train) [58][1600/3757] lr: 7.7232e-03 eta: 2 days, 2:40:38 time: 0.4042 data_time: 0.0150 memory: 17007 grad_norm: 6.1736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0978 loss: 2.0978 2022/07/27 17:21:59 - mmengine - INFO - Epoch(train) [58][1620/3757] lr: 7.7232e-03 eta: 2 days, 2:40:30 time: 0.4022 data_time: 0.0150 memory: 17007 grad_norm: 6.2175 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4897 loss: 2.4897 2022/07/27 17:22:07 - mmengine - INFO - Epoch(train) [58][1640/3757] lr: 7.7232e-03 eta: 2 days, 2:40:23 time: 0.3982 data_time: 0.0164 memory: 17007 grad_norm: 6.1162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5694 loss: 2.5694 2022/07/27 17:22:15 - mmengine - INFO - Epoch(train) [58][1660/3757] lr: 7.7232e-03 eta: 2 days, 2:40:15 time: 0.3952 data_time: 0.0162 memory: 17007 grad_norm: 6.4164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6852 loss: 2.6852 2022/07/27 17:22:23 - mmengine - INFO - Epoch(train) [58][1680/3757] lr: 7.7232e-03 eta: 2 days, 2:40:07 time: 0.3918 data_time: 0.0146 memory: 17007 grad_norm: 6.3497 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1800 loss: 2.1800 2022/07/27 17:22:30 - mmengine - INFO - Epoch(train) [58][1700/3757] lr: 7.7232e-03 eta: 2 days, 2:39:59 time: 0.3965 data_time: 0.0155 memory: 17007 grad_norm: 6.2732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1209 loss: 2.1209 2022/07/27 17:22:38 - mmengine - INFO - Epoch(train) [58][1720/3757] lr: 7.7232e-03 eta: 2 days, 2:39:51 time: 0.3944 data_time: 0.0163 memory: 17007 grad_norm: 5.9884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3071 loss: 2.3071 2022/07/27 17:22:46 - mmengine - INFO - Epoch(train) [58][1740/3757] lr: 7.7232e-03 eta: 2 days, 2:39:43 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 6.0216 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4310 loss: 2.4310 2022/07/27 17:22:54 - mmengine - INFO - Epoch(train) [58][1760/3757] lr: 7.7232e-03 eta: 2 days, 2:39:35 time: 0.3975 data_time: 0.0159 memory: 17007 grad_norm: 6.3599 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5414 loss: 2.5414 2022/07/27 17:23:02 - mmengine - INFO - Epoch(train) [58][1780/3757] lr: 7.7232e-03 eta: 2 days, 2:39:27 time: 0.3917 data_time: 0.0140 memory: 17007 grad_norm: 6.0153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4792 loss: 2.4792 2022/07/27 17:23:10 - mmengine - INFO - Epoch(train) [58][1800/3757] lr: 7.7232e-03 eta: 2 days, 2:39:19 time: 0.3974 data_time: 0.0152 memory: 17007 grad_norm: 6.1628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4820 loss: 2.4820 2022/07/27 17:23:18 - mmengine - INFO - Epoch(train) [58][1820/3757] lr: 7.7232e-03 eta: 2 days, 2:39:11 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 6.3995 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2430 loss: 2.2430 2022/07/27 17:23:26 - mmengine - INFO - Epoch(train) [58][1840/3757] lr: 7.7232e-03 eta: 2 days, 2:39:03 time: 0.4047 data_time: 0.0176 memory: 17007 grad_norm: 6.4111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0384 loss: 2.0384 2022/07/27 17:23:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:23:34 - mmengine - INFO - Epoch(train) [58][1860/3757] lr: 7.7232e-03 eta: 2 days, 2:38:55 time: 0.3951 data_time: 0.0150 memory: 17007 grad_norm: 6.0934 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1320 loss: 2.1320 2022/07/27 17:23:42 - mmengine - INFO - Epoch(train) [58][1880/3757] lr: 7.7232e-03 eta: 2 days, 2:38:47 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 6.2432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5386 loss: 2.5386 2022/07/27 17:23:50 - mmengine - INFO - Epoch(train) [58][1900/3757] lr: 7.7232e-03 eta: 2 days, 2:38:39 time: 0.3954 data_time: 0.0145 memory: 17007 grad_norm: 6.3123 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4316 loss: 2.4316 2022/07/27 17:23:58 - mmengine - INFO - Epoch(train) [58][1920/3757] lr: 7.7232e-03 eta: 2 days, 2:38:31 time: 0.3946 data_time: 0.0168 memory: 17007 grad_norm: 6.3120 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2759 loss: 2.2759 2022/07/27 17:24:05 - mmengine - INFO - Epoch(train) [58][1940/3757] lr: 7.7232e-03 eta: 2 days, 2:38:23 time: 0.3973 data_time: 0.0149 memory: 17007 grad_norm: 6.4216 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4497 loss: 2.4497 2022/07/27 17:24:13 - mmengine - INFO - Epoch(train) [58][1960/3757] lr: 7.7232e-03 eta: 2 days, 2:38:15 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 6.3912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1710 loss: 2.1710 2022/07/27 17:24:21 - mmengine - INFO - Epoch(train) [58][1980/3757] lr: 7.7232e-03 eta: 2 days, 2:38:07 time: 0.3945 data_time: 0.0163 memory: 17007 grad_norm: 6.2982 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2583 loss: 2.2583 2022/07/27 17:24:29 - mmengine - INFO - Epoch(train) [58][2000/3757] lr: 7.7232e-03 eta: 2 days, 2:38:00 time: 0.4085 data_time: 0.0156 memory: 17007 grad_norm: 6.1393 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9027 loss: 1.9027 2022/07/27 17:24:37 - mmengine - INFO - Epoch(train) [58][2020/3757] lr: 7.7232e-03 eta: 2 days, 2:37:52 time: 0.3989 data_time: 0.0161 memory: 17007 grad_norm: 6.0559 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1524 loss: 2.1524 2022/07/27 17:24:45 - mmengine - INFO - Epoch(train) [58][2040/3757] lr: 7.7232e-03 eta: 2 days, 2:37:44 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 6.0733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2973 loss: 2.2973 2022/07/27 17:24:53 - mmengine - INFO - Epoch(train) [58][2060/3757] lr: 7.7232e-03 eta: 2 days, 2:37:36 time: 0.3916 data_time: 0.0141 memory: 17007 grad_norm: 6.1923 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4542 loss: 2.4542 2022/07/27 17:25:01 - mmengine - INFO - Epoch(train) [58][2080/3757] lr: 7.7232e-03 eta: 2 days, 2:37:28 time: 0.3987 data_time: 0.0165 memory: 17007 grad_norm: 6.2637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1950 loss: 2.1950 2022/07/27 17:25:09 - mmengine - INFO - Epoch(train) [58][2100/3757] lr: 7.7232e-03 eta: 2 days, 2:37:20 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 6.2312 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.3971 loss: 2.3971 2022/07/27 17:25:17 - mmengine - INFO - Epoch(train) [58][2120/3757] lr: 7.7232e-03 eta: 2 days, 2:37:12 time: 0.3965 data_time: 0.0162 memory: 17007 grad_norm: 6.2798 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6241 loss: 2.6241 2022/07/27 17:25:25 - mmengine - INFO - Epoch(train) [58][2140/3757] lr: 7.7232e-03 eta: 2 days, 2:37:04 time: 0.3970 data_time: 0.0142 memory: 17007 grad_norm: 6.3207 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5877 loss: 2.5877 2022/07/27 17:25:33 - mmengine - INFO - Epoch(train) [58][2160/3757] lr: 7.7232e-03 eta: 2 days, 2:36:56 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 6.3877 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4262 loss: 2.4262 2022/07/27 17:25:41 - mmengine - INFO - Epoch(train) [58][2180/3757] lr: 7.7232e-03 eta: 2 days, 2:36:48 time: 0.4001 data_time: 0.0165 memory: 17007 grad_norm: 6.2541 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1690 loss: 2.1690 2022/07/27 17:25:49 - mmengine - INFO - Epoch(train) [58][2200/3757] lr: 7.7232e-03 eta: 2 days, 2:36:40 time: 0.3928 data_time: 0.0148 memory: 17007 grad_norm: 6.0871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1657 loss: 2.1657 2022/07/27 17:25:57 - mmengine - INFO - Epoch(train) [58][2220/3757] lr: 7.7232e-03 eta: 2 days, 2:36:33 time: 0.4055 data_time: 0.0158 memory: 17007 grad_norm: 6.3722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1793 loss: 2.1793 2022/07/27 17:26:05 - mmengine - INFO - Epoch(train) [58][2240/3757] lr: 7.7232e-03 eta: 2 days, 2:36:25 time: 0.3967 data_time: 0.0165 memory: 17007 grad_norm: 6.3592 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6248 loss: 2.6248 2022/07/27 17:26:13 - mmengine - INFO - Epoch(train) [58][2260/3757] lr: 7.7232e-03 eta: 2 days, 2:36:17 time: 0.3926 data_time: 0.0142 memory: 17007 grad_norm: 6.1616 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5911 loss: 2.5911 2022/07/27 17:26:21 - mmengine - INFO - Epoch(train) [58][2280/3757] lr: 7.7232e-03 eta: 2 days, 2:36:10 time: 0.4110 data_time: 0.0167 memory: 17007 grad_norm: 5.8670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1617 loss: 2.1617 2022/07/27 17:26:29 - mmengine - INFO - Epoch(train) [58][2300/3757] lr: 7.7232e-03 eta: 2 days, 2:36:02 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 6.1865 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3605 loss: 2.3605 2022/07/27 17:26:37 - mmengine - INFO - Epoch(train) [58][2320/3757] lr: 7.7232e-03 eta: 2 days, 2:35:54 time: 0.3968 data_time: 0.0157 memory: 17007 grad_norm: 6.1527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1422 loss: 2.1422 2022/07/27 17:26:45 - mmengine - INFO - Epoch(train) [58][2340/3757] lr: 7.7232e-03 eta: 2 days, 2:35:46 time: 0.4026 data_time: 0.0163 memory: 17007 grad_norm: 6.2129 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1209 loss: 2.1209 2022/07/27 17:26:52 - mmengine - INFO - Epoch(train) [58][2360/3757] lr: 7.7232e-03 eta: 2 days, 2:35:38 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 6.4200 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4831 loss: 2.4831 2022/07/27 17:27:00 - mmengine - INFO - Epoch(train) [58][2380/3757] lr: 7.7232e-03 eta: 2 days, 2:35:30 time: 0.3954 data_time: 0.0161 memory: 17007 grad_norm: 6.1695 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5767 loss: 2.5767 2022/07/27 17:27:08 - mmengine - INFO - Epoch(train) [58][2400/3757] lr: 7.7232e-03 eta: 2 days, 2:35:22 time: 0.3922 data_time: 0.0152 memory: 17007 grad_norm: 6.1763 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3418 loss: 2.3418 2022/07/27 17:27:17 - mmengine - INFO - Epoch(train) [58][2420/3757] lr: 7.7232e-03 eta: 2 days, 2:35:15 time: 0.4135 data_time: 0.0167 memory: 17007 grad_norm: 6.3528 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4214 loss: 2.4214 2022/07/27 17:27:24 - mmengine - INFO - Epoch(train) [58][2440/3757] lr: 7.7232e-03 eta: 2 days, 2:35:07 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 6.0773 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5068 loss: 2.5068 2022/07/27 17:27:32 - mmengine - INFO - Epoch(train) [58][2460/3757] lr: 7.7232e-03 eta: 2 days, 2:34:59 time: 0.3938 data_time: 0.0141 memory: 17007 grad_norm: 6.1767 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1712 loss: 2.1712 2022/07/27 17:27:40 - mmengine - INFO - Epoch(train) [58][2480/3757] lr: 7.7232e-03 eta: 2 days, 2:34:51 time: 0.4041 data_time: 0.0163 memory: 17007 grad_norm: 6.0453 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5087 loss: 2.5087 2022/07/27 17:27:48 - mmengine - INFO - Epoch(train) [58][2500/3757] lr: 7.7232e-03 eta: 2 days, 2:34:43 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.2242 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2683 loss: 2.2683 2022/07/27 17:27:56 - mmengine - INFO - Epoch(train) [58][2520/3757] lr: 7.7232e-03 eta: 2 days, 2:34:35 time: 0.3974 data_time: 0.0157 memory: 17007 grad_norm: 6.1589 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2647 loss: 2.2647 2022/07/27 17:28:04 - mmengine - INFO - Epoch(train) [58][2540/3757] lr: 7.7232e-03 eta: 2 days, 2:34:27 time: 0.3951 data_time: 0.0151 memory: 17007 grad_norm: 6.2067 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5428 loss: 2.5428 2022/07/27 17:28:12 - mmengine - INFO - Epoch(train) [58][2560/3757] lr: 7.7232e-03 eta: 2 days, 2:34:19 time: 0.3918 data_time: 0.0147 memory: 17007 grad_norm: 6.1233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0885 loss: 2.0885 2022/07/27 17:28:20 - mmengine - INFO - Epoch(train) [58][2580/3757] lr: 7.7232e-03 eta: 2 days, 2:34:11 time: 0.4022 data_time: 0.0141 memory: 17007 grad_norm: 6.3402 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1608 loss: 2.1608 2022/07/27 17:28:28 - mmengine - INFO - Epoch(train) [58][2600/3757] lr: 7.7232e-03 eta: 2 days, 2:34:03 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 6.4100 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5096 loss: 2.5096 2022/07/27 17:28:36 - mmengine - INFO - Epoch(train) [58][2620/3757] lr: 7.7232e-03 eta: 2 days, 2:33:55 time: 0.3969 data_time: 0.0156 memory: 17007 grad_norm: 6.1537 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9892 loss: 1.9892 2022/07/27 17:28:44 - mmengine - INFO - Epoch(train) [58][2640/3757] lr: 7.7232e-03 eta: 2 days, 2:33:47 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 6.1250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3140 loss: 2.3140 2022/07/27 17:28:52 - mmengine - INFO - Epoch(train) [58][2660/3757] lr: 7.7232e-03 eta: 2 days, 2:33:39 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 6.1473 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3549 loss: 2.3549 2022/07/27 17:29:00 - mmengine - INFO - Epoch(train) [58][2680/3757] lr: 7.7232e-03 eta: 2 days, 2:33:31 time: 0.3967 data_time: 0.0169 memory: 17007 grad_norm: 6.2911 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1395 loss: 2.1395 2022/07/27 17:29:07 - mmengine - INFO - Epoch(train) [58][2700/3757] lr: 7.7232e-03 eta: 2 days, 2:33:23 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 6.3518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0348 loss: 2.0348 2022/07/27 17:29:15 - mmengine - INFO - Epoch(train) [58][2720/3757] lr: 7.7232e-03 eta: 2 days, 2:33:16 time: 0.3964 data_time: 0.0155 memory: 17007 grad_norm: 6.2140 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3195 loss: 2.3195 2022/07/27 17:29:23 - mmengine - INFO - Epoch(train) [58][2740/3757] lr: 7.7232e-03 eta: 2 days, 2:33:07 time: 0.3921 data_time: 0.0142 memory: 17007 grad_norm: 6.1771 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2765 loss: 2.2765 2022/07/27 17:29:31 - mmengine - INFO - Epoch(train) [58][2760/3757] lr: 7.7232e-03 eta: 2 days, 2:33:00 time: 0.3969 data_time: 0.0148 memory: 17007 grad_norm: 6.3297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4456 loss: 2.4456 2022/07/27 17:29:39 - mmengine - INFO - Epoch(train) [58][2780/3757] lr: 7.7232e-03 eta: 2 days, 2:32:52 time: 0.3985 data_time: 0.0164 memory: 17007 grad_norm: 6.5228 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2802 loss: 2.2802 2022/07/27 17:29:47 - mmengine - INFO - Epoch(train) [58][2800/3757] lr: 7.7232e-03 eta: 2 days, 2:32:44 time: 0.3956 data_time: 0.0156 memory: 17007 grad_norm: 6.2094 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3863 loss: 2.3863 2022/07/27 17:29:55 - mmengine - INFO - Epoch(train) [58][2820/3757] lr: 7.7232e-03 eta: 2 days, 2:32:36 time: 0.4049 data_time: 0.0146 memory: 17007 grad_norm: 6.2057 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2089 loss: 2.2089 2022/07/27 17:30:03 - mmengine - INFO - Epoch(train) [58][2840/3757] lr: 7.7232e-03 eta: 2 days, 2:32:28 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 6.3138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1563 loss: 2.1563 2022/07/27 17:30:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:30:11 - mmengine - INFO - Epoch(train) [58][2860/3757] lr: 7.7232e-03 eta: 2 days, 2:32:20 time: 0.3913 data_time: 0.0173 memory: 17007 grad_norm: 6.4919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0607 loss: 2.0607 2022/07/27 17:30:19 - mmengine - INFO - Epoch(train) [58][2880/3757] lr: 7.7232e-03 eta: 2 days, 2:32:12 time: 0.3955 data_time: 0.0162 memory: 17007 grad_norm: 6.2443 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2029 loss: 2.2029 2022/07/27 17:30:27 - mmengine - INFO - Epoch(train) [58][2900/3757] lr: 7.7232e-03 eta: 2 days, 2:32:04 time: 0.3929 data_time: 0.0148 memory: 17007 grad_norm: 6.2155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0035 loss: 2.0035 2022/07/27 17:30:35 - mmengine - INFO - Epoch(train) [58][2920/3757] lr: 7.7232e-03 eta: 2 days, 2:31:57 time: 0.4076 data_time: 0.0162 memory: 17007 grad_norm: 6.0844 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2695 loss: 2.2695 2022/07/27 17:30:43 - mmengine - INFO - Epoch(train) [58][2940/3757] lr: 7.7232e-03 eta: 2 days, 2:31:49 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 6.4018 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2673 loss: 2.2673 2022/07/27 17:30:51 - mmengine - INFO - Epoch(train) [58][2960/3757] lr: 7.7232e-03 eta: 2 days, 2:31:41 time: 0.3931 data_time: 0.0146 memory: 17007 grad_norm: 6.1284 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1050 loss: 2.1050 2022/07/27 17:30:58 - mmengine - INFO - Epoch(train) [58][2980/3757] lr: 7.7232e-03 eta: 2 days, 2:31:33 time: 0.3949 data_time: 0.0149 memory: 17007 grad_norm: 6.3437 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6035 loss: 2.6035 2022/07/27 17:31:07 - mmengine - INFO - Epoch(train) [58][3000/3757] lr: 7.7232e-03 eta: 2 days, 2:31:25 time: 0.4121 data_time: 0.0148 memory: 17007 grad_norm: 6.2281 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3739 loss: 2.3739 2022/07/27 17:31:15 - mmengine - INFO - Epoch(train) [58][3020/3757] lr: 7.7232e-03 eta: 2 days, 2:31:17 time: 0.3976 data_time: 0.0161 memory: 17007 grad_norm: 6.1423 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1124 loss: 2.1124 2022/07/27 17:31:23 - mmengine - INFO - Epoch(train) [58][3040/3757] lr: 7.7232e-03 eta: 2 days, 2:31:09 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 6.4359 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2168 loss: 2.2168 2022/07/27 17:31:30 - mmengine - INFO - Epoch(train) [58][3060/3757] lr: 7.7232e-03 eta: 2 days, 2:31:01 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 6.2945 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1153 loss: 2.1153 2022/07/27 17:31:38 - mmengine - INFO - Epoch(train) [58][3080/3757] lr: 7.7232e-03 eta: 2 days, 2:30:53 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 6.1500 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3705 loss: 2.3705 2022/07/27 17:31:46 - mmengine - INFO - Epoch(train) [58][3100/3757] lr: 7.7232e-03 eta: 2 days, 2:30:45 time: 0.3939 data_time: 0.0175 memory: 17007 grad_norm: 6.4765 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2612 loss: 2.2612 2022/07/27 17:31:56 - mmengine - INFO - Epoch(train) [58][3120/3757] lr: 7.7232e-03 eta: 2 days, 2:30:41 time: 0.4912 data_time: 0.0148 memory: 17007 grad_norm: 6.3060 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4763 loss: 2.4763 2022/07/27 17:32:07 - mmengine - INFO - Epoch(train) [58][3140/3757] lr: 7.7232e-03 eta: 2 days, 2:30:40 time: 0.5479 data_time: 0.0146 memory: 17007 grad_norm: 6.4604 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0770 loss: 2.0770 2022/07/27 17:32:19 - mmengine - INFO - Epoch(train) [58][3160/3757] lr: 7.7232e-03 eta: 2 days, 2:30:40 time: 0.5844 data_time: 0.0188 memory: 17007 grad_norm: 6.2162 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5688 loss: 2.5688 2022/07/27 17:32:30 - mmengine - INFO - Epoch(train) [58][3180/3757] lr: 7.7232e-03 eta: 2 days, 2:30:40 time: 0.5746 data_time: 0.0446 memory: 17007 grad_norm: 6.2944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0198 loss: 2.0198 2022/07/27 17:32:42 - mmengine - INFO - Epoch(train) [58][3200/3757] lr: 7.7232e-03 eta: 2 days, 2:30:40 time: 0.5965 data_time: 0.0171 memory: 17007 grad_norm: 6.1354 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4367 loss: 2.4367 2022/07/27 17:32:56 - mmengine - INFO - Epoch(train) [58][3220/3757] lr: 7.7232e-03 eta: 2 days, 2:30:45 time: 0.6988 data_time: 0.1931 memory: 17007 grad_norm: 5.9692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1455 loss: 2.1455 2022/07/27 17:33:13 - mmengine - INFO - Epoch(train) [58][3240/3757] lr: 7.7232e-03 eta: 2 days, 2:30:55 time: 0.8224 data_time: 0.0306 memory: 17007 grad_norm: 7.4672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4286 loss: 2.4286 2022/07/27 17:33:22 - mmengine - INFO - Epoch(train) [58][3260/3757] lr: 7.7232e-03 eta: 2 days, 2:30:49 time: 0.4514 data_time: 0.0176 memory: 17007 grad_norm: 6.5187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4894 loss: 2.4894 2022/07/27 17:33:29 - mmengine - INFO - Epoch(train) [58][3280/3757] lr: 7.7232e-03 eta: 2 days, 2:30:41 time: 0.3903 data_time: 0.0125 memory: 17007 grad_norm: 6.3020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5146 loss: 2.5146 2022/07/27 17:33:38 - mmengine - INFO - Epoch(train) [58][3300/3757] lr: 7.7232e-03 eta: 2 days, 2:30:34 time: 0.4070 data_time: 0.0175 memory: 17007 grad_norm: 6.1614 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3275 loss: 2.3275 2022/07/27 17:33:45 - mmengine - INFO - Epoch(train) [58][3320/3757] lr: 7.7232e-03 eta: 2 days, 2:30:26 time: 0.3909 data_time: 0.0130 memory: 17007 grad_norm: 6.2554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1190 loss: 2.1190 2022/07/27 17:33:53 - mmengine - INFO - Epoch(train) [58][3340/3757] lr: 7.7232e-03 eta: 2 days, 2:30:17 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.3326 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4975 loss: 2.4975 2022/07/27 17:34:01 - mmengine - INFO - Epoch(train) [58][3360/3757] lr: 7.7232e-03 eta: 2 days, 2:30:10 time: 0.4017 data_time: 0.0145 memory: 17007 grad_norm: 6.2103 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2923 loss: 2.2923 2022/07/27 17:34:09 - mmengine - INFO - Epoch(train) [58][3380/3757] lr: 7.7232e-03 eta: 2 days, 2:30:02 time: 0.4004 data_time: 0.0166 memory: 17007 grad_norm: 6.2543 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3972 loss: 2.3972 2022/07/27 17:34:17 - mmengine - INFO - Epoch(train) [58][3400/3757] lr: 7.7232e-03 eta: 2 days, 2:29:54 time: 0.3955 data_time: 0.0138 memory: 17007 grad_norm: 6.0749 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3187 loss: 2.3187 2022/07/27 17:34:25 - mmengine - INFO - Epoch(train) [58][3420/3757] lr: 7.7232e-03 eta: 2 days, 2:29:46 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 6.1055 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3186 loss: 2.3186 2022/07/27 17:34:33 - mmengine - INFO - Epoch(train) [58][3440/3757] lr: 7.7232e-03 eta: 2 days, 2:29:38 time: 0.3909 data_time: 0.0136 memory: 17007 grad_norm: 6.0734 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1886 loss: 2.1886 2022/07/27 17:34:41 - mmengine - INFO - Epoch(train) [58][3460/3757] lr: 7.7232e-03 eta: 2 days, 2:29:30 time: 0.3975 data_time: 0.0163 memory: 17007 grad_norm: 6.2250 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4975 loss: 2.4975 2022/07/27 17:34:49 - mmengine - INFO - Epoch(train) [58][3480/3757] lr: 7.7232e-03 eta: 2 days, 2:29:22 time: 0.3910 data_time: 0.0133 memory: 17007 grad_norm: 6.0999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2817 loss: 2.2817 2022/07/27 17:34:57 - mmengine - INFO - Epoch(train) [58][3500/3757] lr: 7.7232e-03 eta: 2 days, 2:29:14 time: 0.3989 data_time: 0.0162 memory: 17007 grad_norm: 6.1315 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2643 loss: 2.2643 2022/07/27 17:35:05 - mmengine - INFO - Epoch(train) [58][3520/3757] lr: 7.7232e-03 eta: 2 days, 2:29:06 time: 0.3936 data_time: 0.0140 memory: 17007 grad_norm: 6.0341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1723 loss: 2.1723 2022/07/27 17:35:12 - mmengine - INFO - Epoch(train) [58][3540/3757] lr: 7.7232e-03 eta: 2 days, 2:28:58 time: 0.3968 data_time: 0.0144 memory: 17007 grad_norm: 6.2609 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3603 loss: 2.3603 2022/07/27 17:35:20 - mmengine - INFO - Epoch(train) [58][3560/3757] lr: 7.7232e-03 eta: 2 days, 2:28:50 time: 0.3980 data_time: 0.0132 memory: 17007 grad_norm: 6.2795 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4053 loss: 2.4053 2022/07/27 17:35:29 - mmengine - INFO - Epoch(train) [58][3580/3757] lr: 7.7232e-03 eta: 2 days, 2:28:43 time: 0.4041 data_time: 0.0159 memory: 17007 grad_norm: 6.3944 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4060 loss: 2.4060 2022/07/27 17:35:37 - mmengine - INFO - Epoch(train) [58][3600/3757] lr: 7.7232e-03 eta: 2 days, 2:28:35 time: 0.4076 data_time: 0.0136 memory: 17007 grad_norm: 6.0297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3328 loss: 2.3328 2022/07/27 17:35:45 - mmengine - INFO - Epoch(train) [58][3620/3757] lr: 7.7232e-03 eta: 2 days, 2:28:27 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 6.3726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4103 loss: 2.4103 2022/07/27 17:35:53 - mmengine - INFO - Epoch(train) [58][3640/3757] lr: 7.7232e-03 eta: 2 days, 2:28:19 time: 0.3924 data_time: 0.0132 memory: 17007 grad_norm: 6.0671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2226 loss: 2.2226 2022/07/27 17:36:01 - mmengine - INFO - Epoch(train) [58][3660/3757] lr: 7.7232e-03 eta: 2 days, 2:28:11 time: 0.3994 data_time: 0.0170 memory: 17007 grad_norm: 6.1885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2922 loss: 2.2922 2022/07/27 17:36:09 - mmengine - INFO - Epoch(train) [58][3680/3757] lr: 7.7232e-03 eta: 2 days, 2:28:03 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 6.0869 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2339 loss: 2.2339 2022/07/27 17:36:17 - mmengine - INFO - Epoch(train) [58][3700/3757] lr: 7.7232e-03 eta: 2 days, 2:27:55 time: 0.3980 data_time: 0.0149 memory: 17007 grad_norm: 6.1668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3979 loss: 2.3979 2022/07/27 17:36:25 - mmengine - INFO - Epoch(train) [58][3720/3757] lr: 7.7232e-03 eta: 2 days, 2:27:47 time: 0.3920 data_time: 0.0137 memory: 17007 grad_norm: 6.0717 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2417 loss: 2.2417 2022/07/27 17:36:32 - mmengine - INFO - Epoch(train) [58][3740/3757] lr: 7.7232e-03 eta: 2 days, 2:27:39 time: 0.3961 data_time: 0.0159 memory: 17007 grad_norm: 5.9519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2010 loss: 2.2010 2022/07/27 17:36:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:36:40 - mmengine - INFO - Epoch(train) [58][3757/3757] lr: 7.7232e-03 eta: 2 days, 2:27:39 time: 0.4225 data_time: 0.0170 memory: 17007 grad_norm: 6.1973 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.2503 loss: 2.2503 2022/07/27 17:36:40 - mmengine - INFO - Saving checkpoint at 58 epochs 2022/07/27 17:36:51 - mmengine - INFO - Epoch(train) [59][20/3757] lr: 7.6496e-03 eta: 2 days, 2:27:12 time: 0.4447 data_time: 0.0664 memory: 17007 grad_norm: 5.9293 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2088 loss: 2.2088 2022/07/27 17:36:58 - mmengine - INFO - Epoch(train) [59][40/3757] lr: 7.6496e-03 eta: 2 days, 2:27:05 time: 0.3947 data_time: 0.0148 memory: 17007 grad_norm: 6.1311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1899 loss: 2.1899 2022/07/27 17:37:06 - mmengine - INFO - Epoch(train) [59][60/3757] lr: 7.6496e-03 eta: 2 days, 2:26:56 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 6.1690 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2248 loss: 2.2248 2022/07/27 17:37:14 - mmengine - INFO - Epoch(train) [59][80/3757] lr: 7.6496e-03 eta: 2 days, 2:26:48 time: 0.3907 data_time: 0.0141 memory: 17007 grad_norm: 5.9700 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2828 loss: 2.2828 2022/07/27 17:37:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:37:22 - mmengine - INFO - Epoch(train) [59][100/3757] lr: 7.6496e-03 eta: 2 days, 2:26:40 time: 0.3950 data_time: 0.0164 memory: 17007 grad_norm: 6.1386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3880 loss: 2.3880 2022/07/27 17:37:30 - mmengine - INFO - Epoch(train) [59][120/3757] lr: 7.6496e-03 eta: 2 days, 2:26:32 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 6.1890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3218 loss: 2.3218 2022/07/27 17:37:38 - mmengine - INFO - Epoch(train) [59][140/3757] lr: 7.6496e-03 eta: 2 days, 2:26:25 time: 0.4041 data_time: 0.0146 memory: 17007 grad_norm: 6.1236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2208 loss: 2.2208 2022/07/27 17:37:46 - mmengine - INFO - Epoch(train) [59][160/3757] lr: 7.6496e-03 eta: 2 days, 2:26:17 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 6.3413 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.2730 loss: 2.2730 2022/07/27 17:37:54 - mmengine - INFO - Epoch(train) [59][180/3757] lr: 7.6496e-03 eta: 2 days, 2:26:08 time: 0.3917 data_time: 0.0141 memory: 17007 grad_norm: 6.5016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0765 loss: 2.0765 2022/07/27 17:38:02 - mmengine - INFO - Epoch(train) [59][200/3757] lr: 7.6496e-03 eta: 2 days, 2:26:01 time: 0.4049 data_time: 0.0162 memory: 17007 grad_norm: 5.9833 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3987 loss: 2.3987 2022/07/27 17:38:10 - mmengine - INFO - Epoch(train) [59][220/3757] lr: 7.6496e-03 eta: 2 days, 2:25:53 time: 0.3917 data_time: 0.0143 memory: 17007 grad_norm: 5.9965 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8944 loss: 1.8944 2022/07/27 17:38:18 - mmengine - INFO - Epoch(train) [59][240/3757] lr: 7.6496e-03 eta: 2 days, 2:25:45 time: 0.4003 data_time: 0.0171 memory: 17007 grad_norm: 6.2188 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2656 loss: 2.2656 2022/07/27 17:38:25 - mmengine - INFO - Epoch(train) [59][260/3757] lr: 7.6496e-03 eta: 2 days, 2:25:37 time: 0.3931 data_time: 0.0145 memory: 17007 grad_norm: 6.4229 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8619 loss: 1.8619 2022/07/27 17:38:33 - mmengine - INFO - Epoch(train) [59][280/3757] lr: 7.6496e-03 eta: 2 days, 2:25:29 time: 0.3936 data_time: 0.0157 memory: 17007 grad_norm: 6.1642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0048 loss: 2.0048 2022/07/27 17:38:42 - mmengine - INFO - Epoch(train) [59][300/3757] lr: 7.6496e-03 eta: 2 days, 2:25:21 time: 0.4069 data_time: 0.0169 memory: 17007 grad_norm: 6.0118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1466 loss: 2.1466 2022/07/27 17:38:49 - mmengine - INFO - Epoch(train) [59][320/3757] lr: 7.6496e-03 eta: 2 days, 2:25:13 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 6.1731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2094 loss: 2.2094 2022/07/27 17:38:58 - mmengine - INFO - Epoch(train) [59][340/3757] lr: 7.6496e-03 eta: 2 days, 2:25:06 time: 0.4188 data_time: 0.0163 memory: 17007 grad_norm: 6.1934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1858 loss: 2.1858 2022/07/27 17:39:06 - mmengine - INFO - Epoch(train) [59][360/3757] lr: 7.6496e-03 eta: 2 days, 2:24:58 time: 0.3924 data_time: 0.0151 memory: 17007 grad_norm: 6.1210 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3657 loss: 2.3657 2022/07/27 17:39:13 - mmengine - INFO - Epoch(train) [59][380/3757] lr: 7.6496e-03 eta: 2 days, 2:24:50 time: 0.3917 data_time: 0.0133 memory: 17007 grad_norm: 6.0961 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2940 loss: 2.2940 2022/07/27 17:39:22 - mmengine - INFO - Epoch(train) [59][400/3757] lr: 7.6496e-03 eta: 2 days, 2:24:43 time: 0.4038 data_time: 0.0167 memory: 17007 grad_norm: 6.2990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3783 loss: 2.3783 2022/07/27 17:39:29 - mmengine - INFO - Epoch(train) [59][420/3757] lr: 7.6496e-03 eta: 2 days, 2:24:35 time: 0.3921 data_time: 0.0146 memory: 17007 grad_norm: 6.2324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1620 loss: 2.1620 2022/07/27 17:39:38 - mmengine - INFO - Epoch(train) [59][440/3757] lr: 7.6496e-03 eta: 2 days, 2:24:27 time: 0.4108 data_time: 0.0176 memory: 17007 grad_norm: 6.3812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7361 loss: 2.7361 2022/07/27 17:39:45 - mmengine - INFO - Epoch(train) [59][460/3757] lr: 7.6496e-03 eta: 2 days, 2:24:19 time: 0.3932 data_time: 0.0146 memory: 17007 grad_norm: 5.9725 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4794 loss: 2.4794 2022/07/27 17:39:53 - mmengine - INFO - Epoch(train) [59][480/3757] lr: 7.6496e-03 eta: 2 days, 2:24:11 time: 0.3923 data_time: 0.0145 memory: 17007 grad_norm: 6.2797 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1695 loss: 2.1695 2022/07/27 17:40:01 - mmengine - INFO - Epoch(train) [59][500/3757] lr: 7.6496e-03 eta: 2 days, 2:24:03 time: 0.3968 data_time: 0.0145 memory: 17007 grad_norm: 6.2060 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6605 loss: 2.6605 2022/07/27 17:40:09 - mmengine - INFO - Epoch(train) [59][520/3757] lr: 7.6496e-03 eta: 2 days, 2:23:55 time: 0.3937 data_time: 0.0170 memory: 17007 grad_norm: 6.3175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2575 loss: 2.2575 2022/07/27 17:40:17 - mmengine - INFO - Epoch(train) [59][540/3757] lr: 7.6496e-03 eta: 2 days, 2:23:47 time: 0.3964 data_time: 0.0158 memory: 17007 grad_norm: 6.1357 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3743 loss: 2.3743 2022/07/27 17:40:25 - mmengine - INFO - Epoch(train) [59][560/3757] lr: 7.6496e-03 eta: 2 days, 2:23:39 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 6.2185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0520 loss: 2.0520 2022/07/27 17:40:33 - mmengine - INFO - Epoch(train) [59][580/3757] lr: 7.6496e-03 eta: 2 days, 2:23:31 time: 0.3931 data_time: 0.0143 memory: 17007 grad_norm: 6.1204 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1233 loss: 2.1233 2022/07/27 17:40:41 - mmengine - INFO - Epoch(train) [59][600/3757] lr: 7.6496e-03 eta: 2 days, 2:23:23 time: 0.4030 data_time: 0.0172 memory: 17007 grad_norm: 6.1573 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9328 loss: 1.9328 2022/07/27 17:40:49 - mmengine - INFO - Epoch(train) [59][620/3757] lr: 7.6496e-03 eta: 2 days, 2:23:15 time: 0.3937 data_time: 0.0145 memory: 17007 grad_norm: 6.0758 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4666 loss: 2.4666 2022/07/27 17:40:57 - mmengine - INFO - Epoch(train) [59][640/3757] lr: 7.6496e-03 eta: 2 days, 2:23:09 time: 0.4269 data_time: 0.0175 memory: 17007 grad_norm: 6.1667 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3793 loss: 2.3793 2022/07/27 17:41:05 - mmengine - INFO - Epoch(train) [59][660/3757] lr: 7.6496e-03 eta: 2 days, 2:23:01 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 6.1359 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0122 loss: 2.0122 2022/07/27 17:41:13 - mmengine - INFO - Epoch(train) [59][680/3757] lr: 7.6496e-03 eta: 2 days, 2:22:53 time: 0.3920 data_time: 0.0147 memory: 17007 grad_norm: 6.3009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3955 loss: 2.3955 2022/07/27 17:41:21 - mmengine - INFO - Epoch(train) [59][700/3757] lr: 7.6496e-03 eta: 2 days, 2:22:45 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 6.0394 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2382 loss: 2.2382 2022/07/27 17:41:29 - mmengine - INFO - Epoch(train) [59][720/3757] lr: 7.6496e-03 eta: 2 days, 2:22:37 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 6.1457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9854 loss: 1.9854 2022/07/27 17:41:37 - mmengine - INFO - Epoch(train) [59][740/3757] lr: 7.6496e-03 eta: 2 days, 2:22:28 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 6.2622 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4943 loss: 2.4943 2022/07/27 17:41:45 - mmengine - INFO - Epoch(train) [59][760/3757] lr: 7.6496e-03 eta: 2 days, 2:22:20 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 6.2497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0533 loss: 2.0533 2022/07/27 17:41:52 - mmengine - INFO - Epoch(train) [59][780/3757] lr: 7.6496e-03 eta: 2 days, 2:22:12 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 6.1835 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0874 loss: 2.0874 2022/07/27 17:42:00 - mmengine - INFO - Epoch(train) [59][800/3757] lr: 7.6496e-03 eta: 2 days, 2:22:05 time: 0.3992 data_time: 0.0155 memory: 17007 grad_norm: 6.4668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1577 loss: 2.1577 2022/07/27 17:42:08 - mmengine - INFO - Epoch(train) [59][820/3757] lr: 7.6496e-03 eta: 2 days, 2:21:57 time: 0.3944 data_time: 0.0148 memory: 17007 grad_norm: 6.3576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3151 loss: 2.3151 2022/07/27 17:42:17 - mmengine - INFO - Epoch(train) [59][840/3757] lr: 7.6496e-03 eta: 2 days, 2:21:49 time: 0.4124 data_time: 0.0163 memory: 17007 grad_norm: 6.2181 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2193 loss: 2.2193 2022/07/27 17:42:24 - mmengine - INFO - Epoch(train) [59][860/3757] lr: 7.6496e-03 eta: 2 days, 2:21:41 time: 0.3919 data_time: 0.0149 memory: 17007 grad_norm: 6.2396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2893 loss: 2.2893 2022/07/27 17:42:32 - mmengine - INFO - Epoch(train) [59][880/3757] lr: 7.6496e-03 eta: 2 days, 2:21:33 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 6.4246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5879 loss: 2.5879 2022/07/27 17:42:40 - mmengine - INFO - Epoch(train) [59][900/3757] lr: 7.6496e-03 eta: 2 days, 2:21:25 time: 0.3954 data_time: 0.0149 memory: 17007 grad_norm: 6.1313 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1528 loss: 2.1528 2022/07/27 17:42:48 - mmengine - INFO - Epoch(train) [59][920/3757] lr: 7.6496e-03 eta: 2 days, 2:21:17 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 6.0647 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4613 loss: 2.4613 2022/07/27 17:42:56 - mmengine - INFO - Epoch(train) [59][940/3757] lr: 7.6496e-03 eta: 2 days, 2:21:09 time: 0.3921 data_time: 0.0144 memory: 17007 grad_norm: 6.0947 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1414 loss: 2.1414 2022/07/27 17:43:04 - mmengine - INFO - Epoch(train) [59][960/3757] lr: 7.6496e-03 eta: 2 days, 2:21:01 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 6.1704 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9504 loss: 1.9504 2022/07/27 17:43:12 - mmengine - INFO - Epoch(train) [59][980/3757] lr: 7.6496e-03 eta: 2 days, 2:20:53 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 6.4217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2257 loss: 2.2257 2022/07/27 17:43:20 - mmengine - INFO - Epoch(train) [59][1000/3757] lr: 7.6496e-03 eta: 2 days, 2:20:45 time: 0.4019 data_time: 0.0159 memory: 17007 grad_norm: 6.1146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0528 loss: 2.0528 2022/07/27 17:43:27 - mmengine - INFO - Epoch(train) [59][1020/3757] lr: 7.6496e-03 eta: 2 days, 2:20:37 time: 0.3915 data_time: 0.0146 memory: 17007 grad_norm: 6.4380 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5100 loss: 2.5100 2022/07/27 17:43:35 - mmengine - INFO - Epoch(train) [59][1040/3757] lr: 7.6496e-03 eta: 2 days, 2:20:29 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 6.1313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2905 loss: 2.2905 2022/07/27 17:43:43 - mmengine - INFO - Epoch(train) [59][1060/3757] lr: 7.6496e-03 eta: 2 days, 2:20:21 time: 0.4019 data_time: 0.0138 memory: 17007 grad_norm: 6.2293 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1790 loss: 2.1790 2022/07/27 17:43:51 - mmengine - INFO - Epoch(train) [59][1080/3757] lr: 7.6496e-03 eta: 2 days, 2:20:13 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 6.0919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0874 loss: 2.0874 2022/07/27 17:43:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:43:59 - mmengine - INFO - Epoch(train) [59][1100/3757] lr: 7.6496e-03 eta: 2 days, 2:20:06 time: 0.4017 data_time: 0.0149 memory: 17007 grad_norm: 6.0345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2131 loss: 2.2131 2022/07/27 17:44:07 - mmengine - INFO - Epoch(train) [59][1120/3757] lr: 7.6496e-03 eta: 2 days, 2:19:57 time: 0.3930 data_time: 0.0151 memory: 17007 grad_norm: 6.0290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5340 loss: 2.5340 2022/07/27 17:44:15 - mmengine - INFO - Epoch(train) [59][1140/3757] lr: 7.6496e-03 eta: 2 days, 2:19:49 time: 0.3915 data_time: 0.0142 memory: 17007 grad_norm: 6.4209 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2859 loss: 2.2859 2022/07/27 17:44:23 - mmengine - INFO - Epoch(train) [59][1160/3757] lr: 7.6496e-03 eta: 2 days, 2:19:42 time: 0.4102 data_time: 0.0167 memory: 17007 grad_norm: 6.1747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1132 loss: 2.1132 2022/07/27 17:44:31 - mmengine - INFO - Epoch(train) [59][1180/3757] lr: 7.6496e-03 eta: 2 days, 2:19:34 time: 0.3927 data_time: 0.0150 memory: 17007 grad_norm: 6.4407 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1606 loss: 2.1606 2022/07/27 17:44:39 - mmengine - INFO - Epoch(train) [59][1200/3757] lr: 7.6496e-03 eta: 2 days, 2:19:26 time: 0.4024 data_time: 0.0158 memory: 17007 grad_norm: 6.2088 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5798 loss: 2.5798 2022/07/27 17:44:47 - mmengine - INFO - Epoch(train) [59][1220/3757] lr: 7.6496e-03 eta: 2 days, 2:19:18 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 6.1086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2230 loss: 2.2230 2022/07/27 17:44:55 - mmengine - INFO - Epoch(train) [59][1240/3757] lr: 7.6496e-03 eta: 2 days, 2:19:10 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 6.2626 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2192 loss: 2.2192 2022/07/27 17:45:03 - mmengine - INFO - Epoch(train) [59][1260/3757] lr: 7.6496e-03 eta: 2 days, 2:19:03 time: 0.4147 data_time: 0.0155 memory: 17007 grad_norm: 6.0824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0254 loss: 2.0254 2022/07/27 17:45:11 - mmengine - INFO - Epoch(train) [59][1280/3757] lr: 7.6496e-03 eta: 2 days, 2:18:55 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 6.3016 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1296 loss: 2.1296 2022/07/27 17:45:19 - mmengine - INFO - Epoch(train) [59][1300/3757] lr: 7.6496e-03 eta: 2 days, 2:18:47 time: 0.4023 data_time: 0.0157 memory: 17007 grad_norm: 6.1608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3494 loss: 2.3494 2022/07/27 17:45:27 - mmengine - INFO - Epoch(train) [59][1320/3757] lr: 7.6496e-03 eta: 2 days, 2:18:39 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 6.3076 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0969 loss: 2.0969 2022/07/27 17:45:35 - mmengine - INFO - Epoch(train) [59][1340/3757] lr: 7.6496e-03 eta: 2 days, 2:18:31 time: 0.3918 data_time: 0.0141 memory: 17007 grad_norm: 6.0095 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3385 loss: 2.3385 2022/07/27 17:45:43 - mmengine - INFO - Epoch(train) [59][1360/3757] lr: 7.6496e-03 eta: 2 days, 2:18:24 time: 0.4052 data_time: 0.0168 memory: 17007 grad_norm: 6.2534 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5742 loss: 2.5742 2022/07/27 17:45:51 - mmengine - INFO - Epoch(train) [59][1380/3757] lr: 7.6496e-03 eta: 2 days, 2:18:15 time: 0.3919 data_time: 0.0145 memory: 17007 grad_norm: 6.3565 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1573 loss: 2.1573 2022/07/27 17:45:59 - mmengine - INFO - Epoch(train) [59][1400/3757] lr: 7.6496e-03 eta: 2 days, 2:18:08 time: 0.4075 data_time: 0.0172 memory: 17007 grad_norm: 5.9477 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1200 loss: 2.1200 2022/07/27 17:46:07 - mmengine - INFO - Epoch(train) [59][1420/3757] lr: 7.6496e-03 eta: 2 days, 2:18:00 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 6.2723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0039 loss: 2.0039 2022/07/27 17:46:15 - mmengine - INFO - Epoch(train) [59][1440/3757] lr: 7.6496e-03 eta: 2 days, 2:17:52 time: 0.3921 data_time: 0.0151 memory: 17007 grad_norm: 6.2647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1377 loss: 2.1377 2022/07/27 17:46:23 - mmengine - INFO - Epoch(train) [59][1460/3757] lr: 7.6496e-03 eta: 2 days, 2:17:45 time: 0.4102 data_time: 0.0143 memory: 17007 grad_norm: 6.4654 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5606 loss: 2.5606 2022/07/27 17:46:31 - mmengine - INFO - Epoch(train) [59][1480/3757] lr: 7.6496e-03 eta: 2 days, 2:17:37 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 6.2045 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3540 loss: 2.3540 2022/07/27 17:46:39 - mmengine - INFO - Epoch(train) [59][1500/3757] lr: 7.6496e-03 eta: 2 days, 2:17:29 time: 0.3987 data_time: 0.0161 memory: 17007 grad_norm: 6.1528 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1050 loss: 2.1050 2022/07/27 17:46:47 - mmengine - INFO - Epoch(train) [59][1520/3757] lr: 7.6496e-03 eta: 2 days, 2:17:21 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 6.3490 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3033 loss: 2.3033 2022/07/27 17:46:55 - mmengine - INFO - Epoch(train) [59][1540/3757] lr: 7.6496e-03 eta: 2 days, 2:17:13 time: 0.3920 data_time: 0.0144 memory: 17007 grad_norm: 6.2092 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9960 loss: 1.9960 2022/07/27 17:47:03 - mmengine - INFO - Epoch(train) [59][1560/3757] lr: 7.6496e-03 eta: 2 days, 2:17:05 time: 0.4075 data_time: 0.0176 memory: 17007 grad_norm: 6.5568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2803 loss: 2.2803 2022/07/27 17:47:11 - mmengine - INFO - Epoch(train) [59][1580/3757] lr: 7.6496e-03 eta: 2 days, 2:16:57 time: 0.3921 data_time: 0.0146 memory: 17007 grad_norm: 6.3608 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1061 loss: 2.1061 2022/07/27 17:47:19 - mmengine - INFO - Epoch(train) [59][1600/3757] lr: 7.6496e-03 eta: 2 days, 2:16:50 time: 0.4089 data_time: 0.0176 memory: 17007 grad_norm: 6.0126 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1682 loss: 2.1682 2022/07/27 17:47:27 - mmengine - INFO - Epoch(train) [59][1620/3757] lr: 7.6496e-03 eta: 2 days, 2:16:41 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 6.3840 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3334 loss: 2.3334 2022/07/27 17:47:34 - mmengine - INFO - Epoch(train) [59][1640/3757] lr: 7.6496e-03 eta: 2 days, 2:16:33 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.3008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9772 loss: 1.9772 2022/07/27 17:47:43 - mmengine - INFO - Epoch(train) [59][1660/3757] lr: 7.6496e-03 eta: 2 days, 2:16:26 time: 0.4049 data_time: 0.0149 memory: 17007 grad_norm: 6.2671 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2100 loss: 2.2100 2022/07/27 17:47:50 - mmengine - INFO - Epoch(train) [59][1680/3757] lr: 7.6496e-03 eta: 2 days, 2:16:18 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 6.5317 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3052 loss: 2.3052 2022/07/27 17:47:58 - mmengine - INFO - Epoch(train) [59][1700/3757] lr: 7.6496e-03 eta: 2 days, 2:16:10 time: 0.4005 data_time: 0.0155 memory: 17007 grad_norm: 6.3009 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1841 loss: 2.1841 2022/07/27 17:48:06 - mmengine - INFO - Epoch(train) [59][1720/3757] lr: 7.6496e-03 eta: 2 days, 2:16:02 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 6.5921 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4014 loss: 2.4014 2022/07/27 17:48:14 - mmengine - INFO - Epoch(train) [59][1740/3757] lr: 7.6496e-03 eta: 2 days, 2:15:54 time: 0.3943 data_time: 0.0145 memory: 17007 grad_norm: 6.1295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5253 loss: 2.5253 2022/07/27 17:48:22 - mmengine - INFO - Epoch(train) [59][1760/3757] lr: 7.6496e-03 eta: 2 days, 2:15:46 time: 0.3973 data_time: 0.0162 memory: 17007 grad_norm: 6.2297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4481 loss: 2.4481 2022/07/27 17:48:30 - mmengine - INFO - Epoch(train) [59][1780/3757] lr: 7.6496e-03 eta: 2 days, 2:15:38 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 6.1646 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2665 loss: 2.2665 2022/07/27 17:48:38 - mmengine - INFO - Epoch(train) [59][1800/3757] lr: 7.6496e-03 eta: 2 days, 2:15:30 time: 0.3998 data_time: 0.0187 memory: 17007 grad_norm: 6.3599 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2733 loss: 2.2733 2022/07/27 17:48:46 - mmengine - INFO - Epoch(train) [59][1820/3757] lr: 7.6496e-03 eta: 2 days, 2:15:22 time: 0.3946 data_time: 0.0145 memory: 17007 grad_norm: 6.4943 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3759 loss: 2.3759 2022/07/27 17:48:54 - mmengine - INFO - Epoch(train) [59][1840/3757] lr: 7.6496e-03 eta: 2 days, 2:15:14 time: 0.3939 data_time: 0.0161 memory: 17007 grad_norm: 6.1721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2346 loss: 2.2346 2022/07/27 17:49:02 - mmengine - INFO - Epoch(train) [59][1860/3757] lr: 7.6496e-03 eta: 2 days, 2:15:06 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 6.3018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3214 loss: 2.3214 2022/07/27 17:49:10 - mmengine - INFO - Epoch(train) [59][1880/3757] lr: 7.6496e-03 eta: 2 days, 2:14:58 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 5.9965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0924 loss: 2.0924 2022/07/27 17:49:18 - mmengine - INFO - Epoch(train) [59][1900/3757] lr: 7.6496e-03 eta: 2 days, 2:14:50 time: 0.3977 data_time: 0.0155 memory: 17007 grad_norm: 6.1832 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2747 loss: 2.2747 2022/07/27 17:49:25 - mmengine - INFO - Epoch(train) [59][1920/3757] lr: 7.6496e-03 eta: 2 days, 2:14:42 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 6.2799 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3503 loss: 2.3503 2022/07/27 17:49:33 - mmengine - INFO - Epoch(train) [59][1940/3757] lr: 7.6496e-03 eta: 2 days, 2:14:34 time: 0.3932 data_time: 0.0146 memory: 17007 grad_norm: 6.2592 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4147 loss: 2.4147 2022/07/27 17:49:41 - mmengine - INFO - Epoch(train) [59][1960/3757] lr: 7.6496e-03 eta: 2 days, 2:14:26 time: 0.3982 data_time: 0.0142 memory: 17007 grad_norm: 6.3504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1597 loss: 2.1597 2022/07/27 17:49:58 - mmengine - INFO - Epoch(train) [59][1980/3757] lr: 7.6496e-03 eta: 2 days, 2:14:36 time: 0.8277 data_time: 0.0171 memory: 17007 grad_norm: 6.1644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1115 loss: 2.1115 2022/07/27 17:50:08 - mmengine - INFO - Epoch(train) [59][2000/3757] lr: 7.6496e-03 eta: 2 days, 2:14:33 time: 0.5036 data_time: 0.1107 memory: 17007 grad_norm: 6.0428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2615 loss: 2.2615 2022/07/27 17:50:23 - mmengine - INFO - Epoch(train) [59][2020/3757] lr: 7.6496e-03 eta: 2 days, 2:14:40 time: 0.7516 data_time: 0.3672 memory: 17007 grad_norm: 6.1543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3730 loss: 2.3730 2022/07/27 17:50:34 - mmengine - INFO - Epoch(train) [59][2040/3757] lr: 7.6496e-03 eta: 2 days, 2:14:38 time: 0.5483 data_time: 0.0168 memory: 17007 grad_norm: 6.5005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1086 loss: 2.1086 2022/07/27 17:50:48 - mmengine - INFO - Epoch(train) [59][2060/3757] lr: 7.6496e-03 eta: 2 days, 2:14:44 time: 0.7257 data_time: 0.0165 memory: 17007 grad_norm: 6.3807 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9360 loss: 1.9360 2022/07/27 17:50:56 - mmengine - INFO - Epoch(train) [59][2080/3757] lr: 7.6496e-03 eta: 2 days, 2:14:36 time: 0.4013 data_time: 0.0153 memory: 17007 grad_norm: 6.2981 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4207 loss: 2.4207 2022/07/27 17:51:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:51:04 - mmengine - INFO - Epoch(train) [59][2100/3757] lr: 7.6496e-03 eta: 2 days, 2:14:28 time: 0.3929 data_time: 0.0140 memory: 17007 grad_norm: 6.3615 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2101 loss: 2.2101 2022/07/27 17:51:12 - mmengine - INFO - Epoch(train) [59][2120/3757] lr: 7.6496e-03 eta: 2 days, 2:14:20 time: 0.3999 data_time: 0.0169 memory: 17007 grad_norm: 5.9466 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2435 loss: 2.2435 2022/07/27 17:51:20 - mmengine - INFO - Epoch(train) [59][2140/3757] lr: 7.6496e-03 eta: 2 days, 2:14:12 time: 0.3920 data_time: 0.0150 memory: 17007 grad_norm: 6.3083 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3868 loss: 2.3868 2022/07/27 17:51:28 - mmengine - INFO - Epoch(train) [59][2160/3757] lr: 7.6496e-03 eta: 2 days, 2:14:04 time: 0.3958 data_time: 0.0166 memory: 17007 grad_norm: 6.3051 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3242 loss: 2.3242 2022/07/27 17:51:36 - mmengine - INFO - Epoch(train) [59][2180/3757] lr: 7.6496e-03 eta: 2 days, 2:13:56 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 6.2831 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3449 loss: 2.3449 2022/07/27 17:51:44 - mmengine - INFO - Epoch(train) [59][2200/3757] lr: 7.6496e-03 eta: 2 days, 2:13:48 time: 0.4000 data_time: 0.0152 memory: 17007 grad_norm: 6.5309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4303 loss: 2.4303 2022/07/27 17:51:52 - mmengine - INFO - Epoch(train) [59][2220/3757] lr: 7.6496e-03 eta: 2 days, 2:13:40 time: 0.3933 data_time: 0.0136 memory: 17007 grad_norm: 6.2116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3802 loss: 2.3802 2022/07/27 17:52:00 - mmengine - INFO - Epoch(train) [59][2240/3757] lr: 7.6496e-03 eta: 2 days, 2:13:32 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 6.4138 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6294 loss: 2.6294 2022/07/27 17:52:08 - mmengine - INFO - Epoch(train) [59][2260/3757] lr: 7.6496e-03 eta: 2 days, 2:13:24 time: 0.3938 data_time: 0.0145 memory: 17007 grad_norm: 6.2416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2983 loss: 2.2983 2022/07/27 17:52:15 - mmengine - INFO - Epoch(train) [59][2280/3757] lr: 7.6496e-03 eta: 2 days, 2:13:16 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 6.3431 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3294 loss: 2.3294 2022/07/27 17:52:23 - mmengine - INFO - Epoch(train) [59][2300/3757] lr: 7.6496e-03 eta: 2 days, 2:13:08 time: 0.3958 data_time: 0.0128 memory: 17007 grad_norm: 6.2447 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2658 loss: 2.2658 2022/07/27 17:52:31 - mmengine - INFO - Epoch(train) [59][2320/3757] lr: 7.6496e-03 eta: 2 days, 2:13:00 time: 0.3975 data_time: 0.0156 memory: 17007 grad_norm: 6.2946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4449 loss: 2.4449 2022/07/27 17:52:39 - mmengine - INFO - Epoch(train) [59][2340/3757] lr: 7.6496e-03 eta: 2 days, 2:12:52 time: 0.3969 data_time: 0.0124 memory: 17007 grad_norm: 6.1244 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1847 loss: 2.1847 2022/07/27 17:52:47 - mmengine - INFO - Epoch(train) [59][2360/3757] lr: 7.6496e-03 eta: 2 days, 2:12:44 time: 0.3954 data_time: 0.0163 memory: 17007 grad_norm: 6.1289 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1995 loss: 2.1995 2022/07/27 17:52:55 - mmengine - INFO - Epoch(train) [59][2380/3757] lr: 7.6496e-03 eta: 2 days, 2:12:36 time: 0.3919 data_time: 0.0130 memory: 17007 grad_norm: 6.2281 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4592 loss: 2.4592 2022/07/27 17:53:03 - mmengine - INFO - Epoch(train) [59][2400/3757] lr: 7.6496e-03 eta: 2 days, 2:12:29 time: 0.4018 data_time: 0.0154 memory: 17007 grad_norm: 6.1497 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1246 loss: 2.1246 2022/07/27 17:53:11 - mmengine - INFO - Epoch(train) [59][2420/3757] lr: 7.6496e-03 eta: 2 days, 2:12:21 time: 0.3960 data_time: 0.0146 memory: 17007 grad_norm: 6.2706 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4666 loss: 2.4666 2022/07/27 17:53:19 - mmengine - INFO - Epoch(train) [59][2440/3757] lr: 7.6496e-03 eta: 2 days, 2:12:13 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 6.3909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3394 loss: 2.3394 2022/07/27 17:53:27 - mmengine - INFO - Epoch(train) [59][2460/3757] lr: 7.6496e-03 eta: 2 days, 2:12:05 time: 0.3956 data_time: 0.0142 memory: 17007 grad_norm: 6.3570 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4679 loss: 2.4679 2022/07/27 17:53:35 - mmengine - INFO - Epoch(train) [59][2480/3757] lr: 7.6496e-03 eta: 2 days, 2:11:57 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.1752 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9714 loss: 1.9714 2022/07/27 17:53:43 - mmengine - INFO - Epoch(train) [59][2500/3757] lr: 7.6496e-03 eta: 2 days, 2:11:48 time: 0.3927 data_time: 0.0136 memory: 17007 grad_norm: 6.2621 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4141 loss: 2.4141 2022/07/27 17:53:51 - mmengine - INFO - Epoch(train) [59][2520/3757] lr: 7.6496e-03 eta: 2 days, 2:11:41 time: 0.3980 data_time: 0.0171 memory: 17007 grad_norm: 6.4325 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3336 loss: 2.3336 2022/07/27 17:53:58 - mmengine - INFO - Epoch(train) [59][2540/3757] lr: 7.6496e-03 eta: 2 days, 2:11:33 time: 0.3927 data_time: 0.0142 memory: 17007 grad_norm: 6.0779 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5340 loss: 2.5340 2022/07/27 17:54:06 - mmengine - INFO - Epoch(train) [59][2560/3757] lr: 7.6496e-03 eta: 2 days, 2:11:24 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 6.1764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2161 loss: 2.2161 2022/07/27 17:54:14 - mmengine - INFO - Epoch(train) [59][2580/3757] lr: 7.6496e-03 eta: 2 days, 2:11:16 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 6.3186 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9907 loss: 1.9907 2022/07/27 17:54:22 - mmengine - INFO - Epoch(train) [59][2600/3757] lr: 7.6496e-03 eta: 2 days, 2:11:08 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 6.4202 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4223 loss: 2.4223 2022/07/27 17:54:30 - mmengine - INFO - Epoch(train) [59][2620/3757] lr: 7.6496e-03 eta: 2 days, 2:11:00 time: 0.3937 data_time: 0.0144 memory: 17007 grad_norm: 6.2335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4059 loss: 2.4059 2022/07/27 17:54:38 - mmengine - INFO - Epoch(train) [59][2640/3757] lr: 7.6496e-03 eta: 2 days, 2:10:52 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 6.1603 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4524 loss: 2.4524 2022/07/27 17:54:46 - mmengine - INFO - Epoch(train) [59][2660/3757] lr: 7.6496e-03 eta: 2 days, 2:10:44 time: 0.3907 data_time: 0.0134 memory: 17007 grad_norm: 6.3407 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3246 loss: 2.3246 2022/07/27 17:54:54 - mmengine - INFO - Epoch(train) [59][2680/3757] lr: 7.6496e-03 eta: 2 days, 2:10:37 time: 0.4050 data_time: 0.0190 memory: 17007 grad_norm: 6.5991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4713 loss: 2.4713 2022/07/27 17:55:02 - mmengine - INFO - Epoch(train) [59][2700/3757] lr: 7.6496e-03 eta: 2 days, 2:10:28 time: 0.3910 data_time: 0.0124 memory: 17007 grad_norm: 6.0829 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3070 loss: 2.3070 2022/07/27 17:55:10 - mmengine - INFO - Epoch(train) [59][2720/3757] lr: 7.6496e-03 eta: 2 days, 2:10:21 time: 0.3988 data_time: 0.0172 memory: 17007 grad_norm: 6.3423 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2782 loss: 2.2782 2022/07/27 17:55:18 - mmengine - INFO - Epoch(train) [59][2740/3757] lr: 7.6496e-03 eta: 2 days, 2:10:13 time: 0.4015 data_time: 0.0122 memory: 17007 grad_norm: 6.2926 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4973 loss: 2.4973 2022/07/27 17:55:25 - mmengine - INFO - Epoch(train) [59][2760/3757] lr: 7.6496e-03 eta: 2 days, 2:10:05 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 6.0743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5437 loss: 2.5437 2022/07/27 17:55:33 - mmengine - INFO - Epoch(train) [59][2780/3757] lr: 7.6496e-03 eta: 2 days, 2:09:57 time: 0.3946 data_time: 0.0151 memory: 17007 grad_norm: 6.2227 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5568 loss: 2.5568 2022/07/27 17:55:41 - mmengine - INFO - Epoch(train) [59][2800/3757] lr: 7.6496e-03 eta: 2 days, 2:09:49 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 6.3129 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3236 loss: 2.3236 2022/07/27 17:55:49 - mmengine - INFO - Epoch(train) [59][2820/3757] lr: 7.6496e-03 eta: 2 days, 2:09:41 time: 0.3943 data_time: 0.0137 memory: 17007 grad_norm: 5.9592 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1547 loss: 2.1547 2022/07/27 17:55:57 - mmengine - INFO - Epoch(train) [59][2840/3757] lr: 7.6496e-03 eta: 2 days, 2:09:33 time: 0.4030 data_time: 0.0157 memory: 17007 grad_norm: 6.2958 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6648 loss: 2.6648 2022/07/27 17:56:05 - mmengine - INFO - Epoch(train) [59][2860/3757] lr: 7.6496e-03 eta: 2 days, 2:09:25 time: 0.3941 data_time: 0.0141 memory: 17007 grad_norm: 6.4488 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3210 loss: 2.3210 2022/07/27 17:56:13 - mmengine - INFO - Epoch(train) [59][2880/3757] lr: 7.6496e-03 eta: 2 days, 2:09:17 time: 0.3968 data_time: 0.0173 memory: 17007 grad_norm: 6.2334 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3961 loss: 2.3961 2022/07/27 17:56:21 - mmengine - INFO - Epoch(train) [59][2900/3757] lr: 7.6496e-03 eta: 2 days, 2:09:09 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 6.1357 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2314 loss: 2.2314 2022/07/27 17:56:29 - mmengine - INFO - Epoch(train) [59][2920/3757] lr: 7.6496e-03 eta: 2 days, 2:09:01 time: 0.3980 data_time: 0.0172 memory: 17007 grad_norm: 6.3160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1950 loss: 2.1950 2022/07/27 17:56:37 - mmengine - INFO - Epoch(train) [59][2940/3757] lr: 7.6496e-03 eta: 2 days, 2:08:53 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 6.1466 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2207 loss: 2.2207 2022/07/27 17:56:45 - mmengine - INFO - Epoch(train) [59][2960/3757] lr: 7.6496e-03 eta: 2 days, 2:08:45 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 6.2475 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0646 loss: 2.0646 2022/07/27 17:56:52 - mmengine - INFO - Epoch(train) [59][2980/3757] lr: 7.6496e-03 eta: 2 days, 2:08:37 time: 0.3972 data_time: 0.0156 memory: 17007 grad_norm: 6.2889 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6684 loss: 2.6684 2022/07/27 17:57:00 - mmengine - INFO - Epoch(train) [59][3000/3757] lr: 7.6496e-03 eta: 2 days, 2:08:29 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 6.1632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2932 loss: 2.2932 2022/07/27 17:57:08 - mmengine - INFO - Epoch(train) [59][3020/3757] lr: 7.6496e-03 eta: 2 days, 2:08:21 time: 0.3972 data_time: 0.0158 memory: 17007 grad_norm: 6.2658 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5095 loss: 2.5095 2022/07/27 17:57:16 - mmengine - INFO - Epoch(train) [59][3040/3757] lr: 7.6496e-03 eta: 2 days, 2:08:13 time: 0.3933 data_time: 0.0163 memory: 17007 grad_norm: 6.2787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1361 loss: 2.1361 2022/07/27 17:57:24 - mmengine - INFO - Epoch(train) [59][3060/3757] lr: 7.6496e-03 eta: 2 days, 2:08:05 time: 0.3916 data_time: 0.0138 memory: 17007 grad_norm: 6.3147 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3715 loss: 2.3715 2022/07/27 17:57:32 - mmengine - INFO - Epoch(train) [59][3080/3757] lr: 7.6496e-03 eta: 2 days, 2:07:57 time: 0.3992 data_time: 0.0166 memory: 17007 grad_norm: 6.1919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9910 loss: 1.9910 2022/07/27 17:57:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 17:57:40 - mmengine - INFO - Epoch(train) [59][3100/3757] lr: 7.6496e-03 eta: 2 days, 2:07:49 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 6.4275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4392 loss: 2.4392 2022/07/27 17:57:48 - mmengine - INFO - Epoch(train) [59][3120/3757] lr: 7.6496e-03 eta: 2 days, 2:07:42 time: 0.4050 data_time: 0.0153 memory: 17007 grad_norm: 6.3685 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3236 loss: 2.3236 2022/07/27 17:57:56 - mmengine - INFO - Epoch(train) [59][3140/3757] lr: 7.6496e-03 eta: 2 days, 2:07:34 time: 0.3932 data_time: 0.0140 memory: 17007 grad_norm: 6.2922 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2754 loss: 2.2754 2022/07/27 17:58:04 - mmengine - INFO - Epoch(train) [59][3160/3757] lr: 7.6496e-03 eta: 2 days, 2:07:25 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.2667 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4937 loss: 2.4937 2022/07/27 17:58:12 - mmengine - INFO - Epoch(train) [59][3180/3757] lr: 7.6496e-03 eta: 2 days, 2:07:18 time: 0.3977 data_time: 0.0149 memory: 17007 grad_norm: 6.4037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3978 loss: 2.3978 2022/07/27 17:58:20 - mmengine - INFO - Epoch(train) [59][3200/3757] lr: 7.6496e-03 eta: 2 days, 2:07:10 time: 0.3987 data_time: 0.0164 memory: 17007 grad_norm: 6.3453 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3825 loss: 2.3825 2022/07/27 17:58:28 - mmengine - INFO - Epoch(train) [59][3220/3757] lr: 7.6496e-03 eta: 2 days, 2:07:02 time: 0.3956 data_time: 0.0143 memory: 17007 grad_norm: 6.2004 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2343 loss: 2.2343 2022/07/27 17:58:35 - mmengine - INFO - Epoch(train) [59][3240/3757] lr: 7.6496e-03 eta: 2 days, 2:06:54 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 6.0208 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2121 loss: 2.2121 2022/07/27 17:58:43 - mmengine - INFO - Epoch(train) [59][3260/3757] lr: 7.6496e-03 eta: 2 days, 2:06:46 time: 0.3922 data_time: 0.0148 memory: 17007 grad_norm: 6.0739 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4312 loss: 2.4312 2022/07/27 17:58:51 - mmengine - INFO - Epoch(train) [59][3280/3757] lr: 7.6496e-03 eta: 2 days, 2:06:38 time: 0.3970 data_time: 0.0165 memory: 17007 grad_norm: 6.4294 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1558 loss: 2.1558 2022/07/27 17:58:59 - mmengine - INFO - Epoch(train) [59][3300/3757] lr: 7.6496e-03 eta: 2 days, 2:06:30 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 6.5432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1188 loss: 2.1188 2022/07/27 17:59:07 - mmengine - INFO - Epoch(train) [59][3320/3757] lr: 7.6496e-03 eta: 2 days, 2:06:22 time: 0.3942 data_time: 0.0148 memory: 17007 grad_norm: 6.3994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2838 loss: 2.2838 2022/07/27 17:59:15 - mmengine - INFO - Epoch(train) [59][3340/3757] lr: 7.6496e-03 eta: 2 days, 2:06:14 time: 0.3949 data_time: 0.0136 memory: 17007 grad_norm: 6.1867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2706 loss: 2.2706 2022/07/27 17:59:23 - mmengine - INFO - Epoch(train) [59][3360/3757] lr: 7.6496e-03 eta: 2 days, 2:06:06 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 6.4047 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1635 loss: 2.1635 2022/07/27 17:59:31 - mmengine - INFO - Epoch(train) [59][3380/3757] lr: 7.6496e-03 eta: 2 days, 2:05:58 time: 0.3991 data_time: 0.0154 memory: 17007 grad_norm: 6.0635 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2255 loss: 2.2255 2022/07/27 17:59:39 - mmengine - INFO - Epoch(train) [59][3400/3757] lr: 7.6496e-03 eta: 2 days, 2:05:50 time: 0.3952 data_time: 0.0148 memory: 17007 grad_norm: 6.1916 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2089 loss: 2.2089 2022/07/27 17:59:47 - mmengine - INFO - Epoch(train) [59][3420/3757] lr: 7.6496e-03 eta: 2 days, 2:05:42 time: 0.3922 data_time: 0.0143 memory: 17007 grad_norm: 6.2358 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2337 loss: 2.2337 2022/07/27 17:59:55 - mmengine - INFO - Epoch(train) [59][3440/3757] lr: 7.6496e-03 eta: 2 days, 2:05:34 time: 0.3972 data_time: 0.0165 memory: 17007 grad_norm: 6.1981 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3140 loss: 2.3140 2022/07/27 18:00:06 - mmengine - INFO - Epoch(train) [59][3460/3757] lr: 7.6496e-03 eta: 2 days, 2:05:32 time: 0.5520 data_time: 0.0185 memory: 17007 grad_norm: 6.0424 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3898 loss: 2.3898 2022/07/27 18:00:14 - mmengine - INFO - Epoch(train) [59][3480/3757] lr: 7.6496e-03 eta: 2 days, 2:05:24 time: 0.3963 data_time: 0.0179 memory: 17007 grad_norm: 6.1989 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2548 loss: 2.2548 2022/07/27 18:00:22 - mmengine - INFO - Epoch(train) [59][3500/3757] lr: 7.6496e-03 eta: 2 days, 2:05:17 time: 0.4018 data_time: 0.0148 memory: 17007 grad_norm: 6.2935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5262 loss: 2.5262 2022/07/27 18:00:29 - mmengine - INFO - Epoch(train) [59][3520/3757] lr: 7.6496e-03 eta: 2 days, 2:05:09 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 6.3576 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1427 loss: 2.1427 2022/07/27 18:00:37 - mmengine - INFO - Epoch(train) [59][3540/3757] lr: 7.6496e-03 eta: 2 days, 2:05:01 time: 0.3949 data_time: 0.0125 memory: 17007 grad_norm: 6.0719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4751 loss: 2.4751 2022/07/27 18:00:45 - mmengine - INFO - Epoch(train) [59][3560/3757] lr: 7.6496e-03 eta: 2 days, 2:04:53 time: 0.3939 data_time: 0.0163 memory: 17007 grad_norm: 6.0864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2645 loss: 2.2645 2022/07/27 18:00:53 - mmengine - INFO - Epoch(train) [59][3580/3757] lr: 7.6496e-03 eta: 2 days, 2:04:44 time: 0.3920 data_time: 0.0126 memory: 17007 grad_norm: 6.0814 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9714 loss: 1.9714 2022/07/27 18:01:01 - mmengine - INFO - Epoch(train) [59][3600/3757] lr: 7.6496e-03 eta: 2 days, 2:04:37 time: 0.4021 data_time: 0.0168 memory: 17007 grad_norm: 5.9796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0127 loss: 2.0127 2022/07/27 18:01:09 - mmengine - INFO - Epoch(train) [59][3620/3757] lr: 7.6496e-03 eta: 2 days, 2:04:29 time: 0.3913 data_time: 0.0135 memory: 17007 grad_norm: 6.2030 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1827 loss: 2.1827 2022/07/27 18:01:17 - mmengine - INFO - Epoch(train) [59][3640/3757] lr: 7.6496e-03 eta: 2 days, 2:04:21 time: 0.3930 data_time: 0.0153 memory: 17007 grad_norm: 6.3037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0841 loss: 2.0841 2022/07/27 18:01:25 - mmengine - INFO - Epoch(train) [59][3660/3757] lr: 7.6496e-03 eta: 2 days, 2:04:13 time: 0.3986 data_time: 0.0161 memory: 17007 grad_norm: 6.1598 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3378 loss: 2.3378 2022/07/27 18:01:33 - mmengine - INFO - Epoch(train) [59][3680/3757] lr: 7.6496e-03 eta: 2 days, 2:04:05 time: 0.3946 data_time: 0.0164 memory: 17007 grad_norm: 6.1235 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1746 loss: 2.1746 2022/07/27 18:01:41 - mmengine - INFO - Epoch(train) [59][3700/3757] lr: 7.6496e-03 eta: 2 days, 2:03:57 time: 0.3955 data_time: 0.0156 memory: 17007 grad_norm: 6.2679 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3255 loss: 2.3255 2022/07/27 18:01:48 - mmengine - INFO - Epoch(train) [59][3720/3757] lr: 7.6496e-03 eta: 2 days, 2:03:49 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.2342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2401 loss: 2.2401 2022/07/27 18:01:56 - mmengine - INFO - Epoch(train) [59][3740/3757] lr: 7.6496e-03 eta: 2 days, 2:03:41 time: 0.3920 data_time: 0.0137 memory: 17007 grad_norm: 6.3389 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3745 loss: 2.3745 2022/07/27 18:02:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:02:03 - mmengine - INFO - Epoch(train) [59][3757/3757] lr: 7.6496e-03 eta: 2 days, 2:03:41 time: 0.4012 data_time: 0.0171 memory: 17007 grad_norm: 6.2424 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.3175 loss: 2.3175 2022/07/27 18:02:03 - mmengine - INFO - Saving checkpoint at 59 epochs 2022/07/27 18:02:14 - mmengine - INFO - Epoch(train) [60][20/3757] lr: 7.5752e-03 eta: 2 days, 2:03:14 time: 0.4477 data_time: 0.0701 memory: 17007 grad_norm: 6.0964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1877 loss: 2.1877 2022/07/27 18:02:22 - mmengine - INFO - Epoch(train) [60][40/3757] lr: 7.5752e-03 eta: 2 days, 2:03:07 time: 0.4080 data_time: 0.0167 memory: 17007 grad_norm: 6.2154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4336 loss: 2.4336 2022/07/27 18:02:30 - mmengine - INFO - Epoch(train) [60][60/3757] lr: 7.5752e-03 eta: 2 days, 2:02:59 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.2384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0926 loss: 2.0926 2022/07/27 18:02:38 - mmengine - INFO - Epoch(train) [60][80/3757] lr: 7.5752e-03 eta: 2 days, 2:02:51 time: 0.4052 data_time: 0.0168 memory: 17007 grad_norm: 6.3146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3728 loss: 2.3728 2022/07/27 18:02:46 - mmengine - INFO - Epoch(train) [60][100/3757] lr: 7.5752e-03 eta: 2 days, 2:02:43 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 6.5176 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5250 loss: 2.5250 2022/07/27 18:02:54 - mmengine - INFO - Epoch(train) [60][120/3757] lr: 7.5752e-03 eta: 2 days, 2:02:35 time: 0.3935 data_time: 0.0147 memory: 17007 grad_norm: 6.0049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1274 loss: 2.1274 2022/07/27 18:03:02 - mmengine - INFO - Epoch(train) [60][140/3757] lr: 7.5752e-03 eta: 2 days, 2:02:27 time: 0.4039 data_time: 0.0145 memory: 17007 grad_norm: 5.9785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1381 loss: 2.1381 2022/07/27 18:03:10 - mmengine - INFO - Epoch(train) [60][160/3757] lr: 7.5752e-03 eta: 2 days, 2:02:19 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 5.9532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2846 loss: 2.2846 2022/07/27 18:03:18 - mmengine - INFO - Epoch(train) [60][180/3757] lr: 7.5752e-03 eta: 2 days, 2:02:12 time: 0.4025 data_time: 0.0159 memory: 17007 grad_norm: 6.2838 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1803 loss: 2.1803 2022/07/27 18:03:26 - mmengine - INFO - Epoch(train) [60][200/3757] lr: 7.5752e-03 eta: 2 days, 2:02:03 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 6.1445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2919 loss: 2.2919 2022/07/27 18:03:34 - mmengine - INFO - Epoch(train) [60][220/3757] lr: 7.5752e-03 eta: 2 days, 2:01:55 time: 0.3921 data_time: 0.0138 memory: 17007 grad_norm: 6.3784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4435 loss: 2.4435 2022/07/27 18:03:42 - mmengine - INFO - Epoch(train) [60][240/3757] lr: 7.5752e-03 eta: 2 days, 2:01:48 time: 0.4025 data_time: 0.0165 memory: 17007 grad_norm: 6.1561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9661 loss: 1.9661 2022/07/27 18:03:50 - mmengine - INFO - Epoch(train) [60][260/3757] lr: 7.5752e-03 eta: 2 days, 2:01:40 time: 0.3923 data_time: 0.0142 memory: 17007 grad_norm: 6.0236 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3197 loss: 2.3197 2022/07/27 18:03:58 - mmengine - INFO - Epoch(train) [60][280/3757] lr: 7.5752e-03 eta: 2 days, 2:01:32 time: 0.3976 data_time: 0.0149 memory: 17007 grad_norm: 6.6803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3568 loss: 2.3568 2022/07/27 18:04:06 - mmengine - INFO - Epoch(train) [60][300/3757] lr: 7.5752e-03 eta: 2 days, 2:01:24 time: 0.3931 data_time: 0.0131 memory: 17007 grad_norm: 6.2306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4268 loss: 2.4268 2022/07/27 18:04:13 - mmengine - INFO - Epoch(train) [60][320/3757] lr: 7.5752e-03 eta: 2 days, 2:01:16 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.3598 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1831 loss: 2.1831 2022/07/27 18:04:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:04:21 - mmengine - INFO - Epoch(train) [60][340/3757] lr: 7.5752e-03 eta: 2 days, 2:01:08 time: 0.4025 data_time: 0.0172 memory: 17007 grad_norm: 6.2168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3957 loss: 2.3957 2022/07/27 18:04:29 - mmengine - INFO - Epoch(train) [60][360/3757] lr: 7.5752e-03 eta: 2 days, 2:01:00 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 6.1212 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3209 loss: 2.3209 2022/07/27 18:04:37 - mmengine - INFO - Epoch(train) [60][380/3757] lr: 7.5752e-03 eta: 2 days, 2:00:52 time: 0.3930 data_time: 0.0135 memory: 17007 grad_norm: 6.0979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5082 loss: 2.5082 2022/07/27 18:04:45 - mmengine - INFO - Epoch(train) [60][400/3757] lr: 7.5752e-03 eta: 2 days, 2:00:44 time: 0.4086 data_time: 0.0165 memory: 17007 grad_norm: 6.0097 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1705 loss: 2.1705 2022/07/27 18:04:53 - mmengine - INFO - Epoch(train) [60][420/3757] lr: 7.5752e-03 eta: 2 days, 2:00:36 time: 0.3945 data_time: 0.0154 memory: 17007 grad_norm: 6.3782 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2089 loss: 2.2089 2022/07/27 18:05:01 - mmengine - INFO - Epoch(train) [60][440/3757] lr: 7.5752e-03 eta: 2 days, 2:00:28 time: 0.3971 data_time: 0.0167 memory: 17007 grad_norm: 6.1929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2695 loss: 2.2695 2022/07/27 18:05:09 - mmengine - INFO - Epoch(train) [60][460/3757] lr: 7.5752e-03 eta: 2 days, 2:00:20 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 6.4183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0683 loss: 2.0683 2022/07/27 18:05:17 - mmengine - INFO - Epoch(train) [60][480/3757] lr: 7.5752e-03 eta: 2 days, 2:00:12 time: 0.3930 data_time: 0.0151 memory: 17007 grad_norm: 6.4268 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3044 loss: 2.3044 2022/07/27 18:05:25 - mmengine - INFO - Epoch(train) [60][500/3757] lr: 7.5752e-03 eta: 2 days, 2:00:05 time: 0.4005 data_time: 0.0147 memory: 17007 grad_norm: 6.2393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2430 loss: 2.2430 2022/07/27 18:05:33 - mmengine - INFO - Epoch(train) [60][520/3757] lr: 7.5752e-03 eta: 2 days, 1:59:56 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 6.0802 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2306 loss: 2.2306 2022/07/27 18:05:41 - mmengine - INFO - Epoch(train) [60][540/3757] lr: 7.5752e-03 eta: 2 days, 1:59:50 time: 0.4288 data_time: 0.0165 memory: 17007 grad_norm: 5.9993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3832 loss: 2.3832 2022/07/27 18:05:49 - mmengine - INFO - Epoch(train) [60][560/3757] lr: 7.5752e-03 eta: 2 days, 1:59:42 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 6.2650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9519 loss: 1.9519 2022/07/27 18:05:57 - mmengine - INFO - Epoch(train) [60][580/3757] lr: 7.5752e-03 eta: 2 days, 1:59:34 time: 0.3911 data_time: 0.0139 memory: 17007 grad_norm: 6.1905 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4585 loss: 2.4585 2022/07/27 18:06:05 - mmengine - INFO - Epoch(train) [60][600/3757] lr: 7.5752e-03 eta: 2 days, 1:59:26 time: 0.4116 data_time: 0.0165 memory: 17007 grad_norm: 6.1249 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3478 loss: 2.3478 2022/07/27 18:06:13 - mmengine - INFO - Epoch(train) [60][620/3757] lr: 7.5752e-03 eta: 2 days, 1:59:18 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 6.2871 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1621 loss: 2.1621 2022/07/27 18:06:21 - mmengine - INFO - Epoch(train) [60][640/3757] lr: 7.5752e-03 eta: 2 days, 1:59:11 time: 0.4048 data_time: 0.0160 memory: 17007 grad_norm: 6.3025 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3516 loss: 2.3516 2022/07/27 18:06:29 - mmengine - INFO - Epoch(train) [60][660/3757] lr: 7.5752e-03 eta: 2 days, 1:59:03 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 6.1180 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3638 loss: 2.3638 2022/07/27 18:06:37 - mmengine - INFO - Epoch(train) [60][680/3757] lr: 7.5752e-03 eta: 2 days, 1:58:55 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 6.2829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1981 loss: 2.1981 2022/07/27 18:06:45 - mmengine - INFO - Epoch(train) [60][700/3757] lr: 7.5752e-03 eta: 2 days, 1:58:47 time: 0.4132 data_time: 0.0169 memory: 17007 grad_norm: 6.0210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1820 loss: 2.1820 2022/07/27 18:06:53 - mmengine - INFO - Epoch(train) [60][720/3757] lr: 7.5752e-03 eta: 2 days, 1:58:39 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 6.3560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2371 loss: 2.2371 2022/07/27 18:07:01 - mmengine - INFO - Epoch(train) [60][740/3757] lr: 7.5752e-03 eta: 2 days, 1:58:31 time: 0.3959 data_time: 0.0154 memory: 17007 grad_norm: 5.9739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9317 loss: 1.9317 2022/07/27 18:07:09 - mmengine - INFO - Epoch(train) [60][760/3757] lr: 7.5752e-03 eta: 2 days, 1:58:23 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 6.3844 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9584 loss: 1.9584 2022/07/27 18:07:17 - mmengine - INFO - Epoch(train) [60][780/3757] lr: 7.5752e-03 eta: 2 days, 1:58:15 time: 0.3921 data_time: 0.0141 memory: 17007 grad_norm: 6.3439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0644 loss: 2.0644 2022/07/27 18:07:25 - mmengine - INFO - Epoch(train) [60][800/3757] lr: 7.5752e-03 eta: 2 days, 1:58:07 time: 0.3974 data_time: 0.0160 memory: 17007 grad_norm: 6.3438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3170 loss: 2.3170 2022/07/27 18:07:33 - mmengine - INFO - Epoch(train) [60][820/3757] lr: 7.5752e-03 eta: 2 days, 1:57:59 time: 0.3924 data_time: 0.0148 memory: 17007 grad_norm: 6.1808 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2289 loss: 2.2289 2022/07/27 18:07:41 - mmengine - INFO - Epoch(train) [60][840/3757] lr: 7.5752e-03 eta: 2 days, 1:57:51 time: 0.3961 data_time: 0.0176 memory: 17007 grad_norm: 6.2690 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0212 loss: 2.0212 2022/07/27 18:07:48 - mmengine - INFO - Epoch(train) [60][860/3757] lr: 7.5752e-03 eta: 2 days, 1:57:43 time: 0.3918 data_time: 0.0134 memory: 17007 grad_norm: 6.4497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3936 loss: 2.3936 2022/07/27 18:07:56 - mmengine - INFO - Epoch(train) [60][880/3757] lr: 7.5752e-03 eta: 2 days, 1:57:35 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 6.7225 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6849 loss: 2.6849 2022/07/27 18:08:04 - mmengine - INFO - Epoch(train) [60][900/3757] lr: 7.5752e-03 eta: 2 days, 1:57:27 time: 0.3947 data_time: 0.0138 memory: 17007 grad_norm: 6.1113 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3718 loss: 2.3718 2022/07/27 18:08:12 - mmengine - INFO - Epoch(train) [60][920/3757] lr: 7.5752e-03 eta: 2 days, 1:57:19 time: 0.3935 data_time: 0.0155 memory: 17007 grad_norm: 6.0873 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1458 loss: 2.1458 2022/07/27 18:08:20 - mmengine - INFO - Epoch(train) [60][940/3757] lr: 7.5752e-03 eta: 2 days, 1:57:11 time: 0.4036 data_time: 0.0169 memory: 17007 grad_norm: 6.1912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2597 loss: 2.2597 2022/07/27 18:08:28 - mmengine - INFO - Epoch(train) [60][960/3757] lr: 7.5752e-03 eta: 2 days, 1:57:03 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 6.3014 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4796 loss: 2.4796 2022/07/27 18:08:36 - mmengine - INFO - Epoch(train) [60][980/3757] lr: 7.5752e-03 eta: 2 days, 1:56:55 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 6.4711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1139 loss: 2.1139 2022/07/27 18:08:44 - mmengine - INFO - Epoch(train) [60][1000/3757] lr: 7.5752e-03 eta: 2 days, 1:56:47 time: 0.4007 data_time: 0.0166 memory: 17007 grad_norm: 6.5005 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5257 loss: 2.5257 2022/07/27 18:08:52 - mmengine - INFO - Epoch(train) [60][1020/3757] lr: 7.5752e-03 eta: 2 days, 1:56:39 time: 0.3924 data_time: 0.0142 memory: 17007 grad_norm: 6.2223 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3660 loss: 2.3660 2022/07/27 18:09:00 - mmengine - INFO - Epoch(train) [60][1040/3757] lr: 7.5752e-03 eta: 2 days, 1:56:32 time: 0.4120 data_time: 0.0159 memory: 17007 grad_norm: 6.1779 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3193 loss: 2.3193 2022/07/27 18:09:08 - mmengine - INFO - Epoch(train) [60][1060/3757] lr: 7.5752e-03 eta: 2 days, 1:56:24 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 6.2243 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4422 loss: 2.4422 2022/07/27 18:09:16 - mmengine - INFO - Epoch(train) [60][1080/3757] lr: 7.5752e-03 eta: 2 days, 1:56:16 time: 0.3928 data_time: 0.0146 memory: 17007 grad_norm: 6.4757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1650 loss: 2.1650 2022/07/27 18:09:24 - mmengine - INFO - Epoch(train) [60][1100/3757] lr: 7.5752e-03 eta: 2 days, 1:56:08 time: 0.3971 data_time: 0.0161 memory: 17007 grad_norm: 6.2534 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4251 loss: 2.4251 2022/07/27 18:09:32 - mmengine - INFO - Epoch(train) [60][1120/3757] lr: 7.5752e-03 eta: 2 days, 1:56:00 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 6.3396 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9540 loss: 1.9540 2022/07/27 18:09:40 - mmengine - INFO - Epoch(train) [60][1140/3757] lr: 7.5752e-03 eta: 2 days, 1:55:53 time: 0.4169 data_time: 0.0168 memory: 17007 grad_norm: 6.2458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2810 loss: 2.2810 2022/07/27 18:09:48 - mmengine - INFO - Epoch(train) [60][1160/3757] lr: 7.5752e-03 eta: 2 days, 1:55:45 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 6.3834 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3121 loss: 2.3121 2022/07/27 18:09:56 - mmengine - INFO - Epoch(train) [60][1180/3757] lr: 7.5752e-03 eta: 2 days, 1:55:37 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 6.5597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5041 loss: 2.5041 2022/07/27 18:10:04 - mmengine - INFO - Epoch(train) [60][1200/3757] lr: 7.5752e-03 eta: 2 days, 1:55:29 time: 0.3963 data_time: 0.0170 memory: 17007 grad_norm: 6.2277 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4051 loss: 2.4051 2022/07/27 18:10:11 - mmengine - INFO - Epoch(train) [60][1220/3757] lr: 7.5752e-03 eta: 2 days, 1:55:21 time: 0.3908 data_time: 0.0130 memory: 17007 grad_norm: 6.4598 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3918 loss: 2.3918 2022/07/27 18:10:20 - mmengine - INFO - Epoch(train) [60][1240/3757] lr: 7.5752e-03 eta: 2 days, 1:55:14 time: 0.4139 data_time: 0.0171 memory: 17007 grad_norm: 6.0840 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4205 loss: 2.4205 2022/07/27 18:10:28 - mmengine - INFO - Epoch(train) [60][1260/3757] lr: 7.5752e-03 eta: 2 days, 1:55:05 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 6.3330 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1095 loss: 2.1095 2022/07/27 18:10:35 - mmengine - INFO - Epoch(train) [60][1280/3757] lr: 7.5752e-03 eta: 2 days, 1:54:57 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.2647 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3857 loss: 2.3857 2022/07/27 18:10:44 - mmengine - INFO - Epoch(train) [60][1300/3757] lr: 7.5752e-03 eta: 2 days, 1:54:50 time: 0.4116 data_time: 0.0158 memory: 17007 grad_norm: 6.3647 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2018 loss: 2.2018 2022/07/27 18:10:52 - mmengine - INFO - Epoch(train) [60][1320/3757] lr: 7.5752e-03 eta: 2 days, 1:54:42 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 6.2066 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1918 loss: 2.1918 2022/07/27 18:10:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:11:00 - mmengine - INFO - Epoch(train) [60][1340/3757] lr: 7.5752e-03 eta: 2 days, 1:54:35 time: 0.4164 data_time: 0.0154 memory: 17007 grad_norm: 6.2348 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4025 loss: 2.4025 2022/07/27 18:11:08 - mmengine - INFO - Epoch(train) [60][1360/3757] lr: 7.5752e-03 eta: 2 days, 1:54:27 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 6.1780 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0221 loss: 2.0221 2022/07/27 18:11:16 - mmengine - INFO - Epoch(train) [60][1380/3757] lr: 7.5752e-03 eta: 2 days, 1:54:19 time: 0.3913 data_time: 0.0132 memory: 17007 grad_norm: 6.3505 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2898 loss: 2.2898 2022/07/27 18:11:24 - mmengine - INFO - Epoch(train) [60][1400/3757] lr: 7.5752e-03 eta: 2 days, 1:54:11 time: 0.4008 data_time: 0.0177 memory: 17007 grad_norm: 6.2042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1409 loss: 2.1409 2022/07/27 18:11:31 - mmengine - INFO - Epoch(train) [60][1420/3757] lr: 7.5752e-03 eta: 2 days, 1:54:03 time: 0.3924 data_time: 0.0147 memory: 17007 grad_norm: 6.3636 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5908 loss: 2.5908 2022/07/27 18:11:40 - mmengine - INFO - Epoch(train) [60][1440/3757] lr: 7.5752e-03 eta: 2 days, 1:53:56 time: 0.4103 data_time: 0.0169 memory: 17007 grad_norm: 6.0552 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3385 loss: 2.3385 2022/07/27 18:11:48 - mmengine - INFO - Epoch(train) [60][1460/3757] lr: 7.5752e-03 eta: 2 days, 1:53:47 time: 0.3921 data_time: 0.0152 memory: 17007 grad_norm: 6.2273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9630 loss: 1.9630 2022/07/27 18:11:55 - mmengine - INFO - Epoch(train) [60][1480/3757] lr: 7.5752e-03 eta: 2 days, 1:53:39 time: 0.3942 data_time: 0.0148 memory: 17007 grad_norm: 5.9839 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9129 loss: 1.9129 2022/07/27 18:12:04 - mmengine - INFO - Epoch(train) [60][1500/3757] lr: 7.5752e-03 eta: 2 days, 1:53:32 time: 0.4030 data_time: 0.0152 memory: 17007 grad_norm: 6.2892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1579 loss: 2.1579 2022/07/27 18:12:11 - mmengine - INFO - Epoch(train) [60][1520/3757] lr: 7.5752e-03 eta: 2 days, 1:53:24 time: 0.3929 data_time: 0.0159 memory: 17007 grad_norm: 6.2939 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0454 loss: 2.0454 2022/07/27 18:12:19 - mmengine - INFO - Epoch(train) [60][1540/3757] lr: 7.5752e-03 eta: 2 days, 1:53:16 time: 0.4040 data_time: 0.0177 memory: 17007 grad_norm: 6.2997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3776 loss: 2.3776 2022/07/27 18:12:27 - mmengine - INFO - Epoch(train) [60][1560/3757] lr: 7.5752e-03 eta: 2 days, 1:53:08 time: 0.3931 data_time: 0.0154 memory: 17007 grad_norm: 6.2042 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0733 loss: 2.0733 2022/07/27 18:12:35 - mmengine - INFO - Epoch(train) [60][1580/3757] lr: 7.5752e-03 eta: 2 days, 1:53:00 time: 0.3920 data_time: 0.0143 memory: 17007 grad_norm: 6.4834 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0514 loss: 2.0514 2022/07/27 18:12:43 - mmengine - INFO - Epoch(train) [60][1600/3757] lr: 7.5752e-03 eta: 2 days, 1:52:52 time: 0.4052 data_time: 0.0148 memory: 17007 grad_norm: 6.3539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3499 loss: 2.3499 2022/07/27 18:12:51 - mmengine - INFO - Epoch(train) [60][1620/3757] lr: 7.5752e-03 eta: 2 days, 1:52:44 time: 0.3924 data_time: 0.0146 memory: 17007 grad_norm: 6.4433 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3739 loss: 2.3739 2022/07/27 18:12:59 - mmengine - INFO - Epoch(train) [60][1640/3757] lr: 7.5752e-03 eta: 2 days, 1:52:37 time: 0.4031 data_time: 0.0164 memory: 17007 grad_norm: 7.0368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0337 loss: 2.0337 2022/07/27 18:13:07 - mmengine - INFO - Epoch(train) [60][1660/3757] lr: 7.5752e-03 eta: 2 days, 1:52:29 time: 0.3924 data_time: 0.0142 memory: 17007 grad_norm: 6.3801 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4150 loss: 2.4150 2022/07/27 18:13:15 - mmengine - INFO - Epoch(train) [60][1680/3757] lr: 7.5752e-03 eta: 2 days, 1:52:21 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 6.4090 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2453 loss: 2.2453 2022/07/27 18:13:23 - mmengine - INFO - Epoch(train) [60][1700/3757] lr: 7.5752e-03 eta: 2 days, 1:52:13 time: 0.3989 data_time: 0.0153 memory: 17007 grad_norm: 5.9800 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3407 loss: 2.3407 2022/07/27 18:13:31 - mmengine - INFO - Epoch(train) [60][1720/3757] lr: 7.5752e-03 eta: 2 days, 1:52:05 time: 0.4018 data_time: 0.0168 memory: 17007 grad_norm: 6.0560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4505 loss: 2.4505 2022/07/27 18:13:39 - mmengine - INFO - Epoch(train) [60][1740/3757] lr: 7.5752e-03 eta: 2 days, 1:51:57 time: 0.3995 data_time: 0.0149 memory: 17007 grad_norm: 5.9952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0515 loss: 2.0515 2022/07/27 18:13:47 - mmengine - INFO - Epoch(train) [60][1760/3757] lr: 7.5752e-03 eta: 2 days, 1:51:49 time: 0.3936 data_time: 0.0162 memory: 17007 grad_norm: 6.2327 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3392 loss: 2.3392 2022/07/27 18:13:55 - mmengine - INFO - Epoch(train) [60][1780/3757] lr: 7.5752e-03 eta: 2 days, 1:51:42 time: 0.4125 data_time: 0.0160 memory: 17007 grad_norm: 6.2156 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9814 loss: 1.9814 2022/07/27 18:14:03 - mmengine - INFO - Epoch(train) [60][1800/3757] lr: 7.5752e-03 eta: 2 days, 1:51:34 time: 0.4078 data_time: 0.0160 memory: 17007 grad_norm: 6.4032 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1611 loss: 2.1611 2022/07/27 18:14:11 - mmengine - INFO - Epoch(train) [60][1820/3757] lr: 7.5752e-03 eta: 2 days, 1:51:26 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 6.1378 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2953 loss: 2.2953 2022/07/27 18:14:19 - mmengine - INFO - Epoch(train) [60][1840/3757] lr: 7.5752e-03 eta: 2 days, 1:51:19 time: 0.4074 data_time: 0.0167 memory: 17007 grad_norm: 6.2136 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4035 loss: 2.4035 2022/07/27 18:14:27 - mmengine - INFO - Epoch(train) [60][1860/3757] lr: 7.5752e-03 eta: 2 days, 1:51:11 time: 0.3918 data_time: 0.0136 memory: 17007 grad_norm: 6.4685 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6766 loss: 2.6766 2022/07/27 18:14:35 - mmengine - INFO - Epoch(train) [60][1880/3757] lr: 7.5752e-03 eta: 2 days, 1:51:03 time: 0.4007 data_time: 0.0164 memory: 17007 grad_norm: 6.3409 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4654 loss: 2.4654 2022/07/27 18:14:43 - mmengine - INFO - Epoch(train) [60][1900/3757] lr: 7.5752e-03 eta: 2 days, 1:50:55 time: 0.4017 data_time: 0.0158 memory: 17007 grad_norm: 6.3397 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/07/27 18:14:51 - mmengine - INFO - Epoch(train) [60][1920/3757] lr: 7.5752e-03 eta: 2 days, 1:50:48 time: 0.4048 data_time: 0.0162 memory: 17007 grad_norm: 6.6641 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3808 loss: 2.3808 2022/07/27 18:14:59 - mmengine - INFO - Epoch(train) [60][1940/3757] lr: 7.5752e-03 eta: 2 days, 1:50:40 time: 0.4067 data_time: 0.0155 memory: 17007 grad_norm: 6.3011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6337 loss: 2.6337 2022/07/27 18:15:07 - mmengine - INFO - Epoch(train) [60][1960/3757] lr: 7.5752e-03 eta: 2 days, 1:50:32 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 6.3025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4129 loss: 2.4129 2022/07/27 18:15:16 - mmengine - INFO - Epoch(train) [60][1980/3757] lr: 7.5752e-03 eta: 2 days, 1:50:25 time: 0.4226 data_time: 0.0147 memory: 17007 grad_norm: 6.1332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0467 loss: 2.0467 2022/07/27 18:15:24 - mmengine - INFO - Epoch(train) [60][2000/3757] lr: 7.5752e-03 eta: 2 days, 1:50:18 time: 0.4017 data_time: 0.0160 memory: 17007 grad_norm: 6.3735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1746 loss: 2.1746 2022/07/27 18:15:32 - mmengine - INFO - Epoch(train) [60][2020/3757] lr: 7.5752e-03 eta: 2 days, 1:50:10 time: 0.4153 data_time: 0.0147 memory: 17007 grad_norm: 6.2494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3390 loss: 2.3390 2022/07/27 18:15:40 - mmengine - INFO - Epoch(train) [60][2040/3757] lr: 7.5752e-03 eta: 2 days, 1:50:03 time: 0.4029 data_time: 0.0164 memory: 17007 grad_norm: 6.3560 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9958 loss: 1.9958 2022/07/27 18:15:48 - mmengine - INFO - Epoch(train) [60][2060/3757] lr: 7.5752e-03 eta: 2 days, 1:49:55 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 6.1404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3949 loss: 2.3949 2022/07/27 18:15:56 - mmengine - INFO - Epoch(train) [60][2080/3757] lr: 7.5752e-03 eta: 2 days, 1:49:47 time: 0.3942 data_time: 0.0169 memory: 17007 grad_norm: 6.2371 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4933 loss: 2.4933 2022/07/27 18:16:05 - mmengine - INFO - Epoch(train) [60][2100/3757] lr: 7.5752e-03 eta: 2 days, 1:49:40 time: 0.4317 data_time: 0.0149 memory: 17007 grad_norm: 6.2894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1940 loss: 2.1940 2022/07/27 18:16:13 - mmengine - INFO - Epoch(train) [60][2120/3757] lr: 7.5752e-03 eta: 2 days, 1:49:32 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 6.3337 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4869 loss: 2.4869 2022/07/27 18:16:20 - mmengine - INFO - Epoch(train) [60][2140/3757] lr: 7.5752e-03 eta: 2 days, 1:49:24 time: 0.3985 data_time: 0.0162 memory: 17007 grad_norm: 6.1624 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0991 loss: 2.0991 2022/07/27 18:16:28 - mmengine - INFO - Epoch(train) [60][2160/3757] lr: 7.5752e-03 eta: 2 days, 1:49:16 time: 0.3922 data_time: 0.0155 memory: 17007 grad_norm: 6.3745 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2688 loss: 2.2688 2022/07/27 18:16:36 - mmengine - INFO - Epoch(train) [60][2180/3757] lr: 7.5752e-03 eta: 2 days, 1:49:08 time: 0.3959 data_time: 0.0155 memory: 17007 grad_norm: 6.1979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3140 loss: 2.3140 2022/07/27 18:16:44 - mmengine - INFO - Epoch(train) [60][2200/3757] lr: 7.5752e-03 eta: 2 days, 1:49:01 time: 0.4049 data_time: 0.0165 memory: 17007 grad_norm: 6.5757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3918 loss: 2.3918 2022/07/27 18:16:52 - mmengine - INFO - Epoch(train) [60][2220/3757] lr: 7.5752e-03 eta: 2 days, 1:48:53 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.1546 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1087 loss: 2.1087 2022/07/27 18:17:01 - mmengine - INFO - Epoch(train) [60][2240/3757] lr: 7.5752e-03 eta: 2 days, 1:48:45 time: 0.4175 data_time: 0.0208 memory: 17007 grad_norm: 6.2165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0557 loss: 2.0557 2022/07/27 18:17:08 - mmengine - INFO - Epoch(train) [60][2260/3757] lr: 7.5752e-03 eta: 2 days, 1:48:37 time: 0.3920 data_time: 0.0138 memory: 17007 grad_norm: 6.5097 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3195 loss: 2.3195 2022/07/27 18:17:16 - mmengine - INFO - Epoch(train) [60][2280/3757] lr: 7.5752e-03 eta: 2 days, 1:48:29 time: 0.3941 data_time: 0.0171 memory: 17007 grad_norm: 6.4689 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2492 loss: 2.2492 2022/07/27 18:17:25 - mmengine - INFO - Epoch(train) [60][2300/3757] lr: 7.5752e-03 eta: 2 days, 1:48:22 time: 0.4115 data_time: 0.0155 memory: 17007 grad_norm: 6.4302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5972 loss: 2.5972 2022/07/27 18:17:33 - mmengine - INFO - Epoch(train) [60][2320/3757] lr: 7.5752e-03 eta: 2 days, 1:48:14 time: 0.3970 data_time: 0.0163 memory: 17007 grad_norm: 6.4389 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0735 loss: 2.0735 2022/07/27 18:17:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:17:40 - mmengine - INFO - Epoch(train) [60][2340/3757] lr: 7.5752e-03 eta: 2 days, 1:48:06 time: 0.3981 data_time: 0.0156 memory: 17007 grad_norm: 6.2520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3459 loss: 2.3459 2022/07/27 18:17:48 - mmengine - INFO - Epoch(train) [60][2360/3757] lr: 7.5752e-03 eta: 2 days, 1:47:58 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 6.4660 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3056 loss: 2.3056 2022/07/27 18:17:56 - mmengine - INFO - Epoch(train) [60][2380/3757] lr: 7.5752e-03 eta: 2 days, 1:47:50 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.2460 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5886 loss: 2.5886 2022/07/27 18:18:04 - mmengine - INFO - Epoch(train) [60][2400/3757] lr: 7.5752e-03 eta: 2 days, 1:47:43 time: 0.4074 data_time: 0.0185 memory: 17007 grad_norm: 6.3002 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2370 loss: 2.2370 2022/07/27 18:18:12 - mmengine - INFO - Epoch(train) [60][2420/3757] lr: 7.5752e-03 eta: 2 days, 1:47:35 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 6.0567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3678 loss: 2.3678 2022/07/27 18:18:20 - mmengine - INFO - Epoch(train) [60][2440/3757] lr: 7.5752e-03 eta: 2 days, 1:47:27 time: 0.4028 data_time: 0.0167 memory: 17007 grad_norm: 6.2433 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3675 loss: 2.3675 2022/07/27 18:18:28 - mmengine - INFO - Epoch(train) [60][2460/3757] lr: 7.5752e-03 eta: 2 days, 1:47:19 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 6.1222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1577 loss: 2.1577 2022/07/27 18:18:36 - mmengine - INFO - Epoch(train) [60][2480/3757] lr: 7.5752e-03 eta: 2 days, 1:47:11 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 6.0180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0327 loss: 2.0327 2022/07/27 18:18:44 - mmengine - INFO - Epoch(train) [60][2500/3757] lr: 7.5752e-03 eta: 2 days, 1:47:04 time: 0.4149 data_time: 0.0168 memory: 17007 grad_norm: 6.2750 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2648 loss: 2.2648 2022/07/27 18:18:52 - mmengine - INFO - Epoch(train) [60][2520/3757] lr: 7.5752e-03 eta: 2 days, 1:46:56 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 6.0220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0596 loss: 2.0596 2022/07/27 18:19:01 - mmengine - INFO - Epoch(train) [60][2540/3757] lr: 7.5752e-03 eta: 2 days, 1:46:48 time: 0.4118 data_time: 0.0161 memory: 17007 grad_norm: 6.3766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4442 loss: 2.4442 2022/07/27 18:19:08 - mmengine - INFO - Epoch(train) [60][2560/3757] lr: 7.5752e-03 eta: 2 days, 1:46:40 time: 0.3939 data_time: 0.0165 memory: 17007 grad_norm: 6.1589 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1916 loss: 2.1916 2022/07/27 18:19:16 - mmengine - INFO - Epoch(train) [60][2580/3757] lr: 7.5752e-03 eta: 2 days, 1:46:32 time: 0.3912 data_time: 0.0148 memory: 17007 grad_norm: 6.2873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4958 loss: 2.4958 2022/07/27 18:19:25 - mmengine - INFO - Epoch(train) [60][2600/3757] lr: 7.5752e-03 eta: 2 days, 1:46:25 time: 0.4243 data_time: 0.0182 memory: 17007 grad_norm: 6.1564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0525 loss: 2.0525 2022/07/27 18:19:33 - mmengine - INFO - Epoch(train) [60][2620/3757] lr: 7.5752e-03 eta: 2 days, 1:46:17 time: 0.3921 data_time: 0.0149 memory: 17007 grad_norm: 6.2955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7840 loss: 2.7840 2022/07/27 18:19:41 - mmengine - INFO - Epoch(train) [60][2640/3757] lr: 7.5752e-03 eta: 2 days, 1:46:10 time: 0.4093 data_time: 0.0168 memory: 17007 grad_norm: 6.0515 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5477 loss: 2.5477 2022/07/27 18:19:49 - mmengine - INFO - Epoch(train) [60][2660/3757] lr: 7.5752e-03 eta: 2 days, 1:46:02 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 6.2964 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2890 loss: 2.2890 2022/07/27 18:19:57 - mmengine - INFO - Epoch(train) [60][2680/3757] lr: 7.5752e-03 eta: 2 days, 1:45:54 time: 0.3946 data_time: 0.0157 memory: 17007 grad_norm: 6.2742 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2047 loss: 2.2047 2022/07/27 18:20:05 - mmengine - INFO - Epoch(train) [60][2700/3757] lr: 7.5752e-03 eta: 2 days, 1:45:46 time: 0.4110 data_time: 0.0164 memory: 17007 grad_norm: 6.1115 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1625 loss: 2.1625 2022/07/27 18:20:13 - mmengine - INFO - Epoch(train) [60][2720/3757] lr: 7.5752e-03 eta: 2 days, 1:45:38 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 6.2466 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3871 loss: 2.3871 2022/07/27 18:20:21 - mmengine - INFO - Epoch(train) [60][2740/3757] lr: 7.5752e-03 eta: 2 days, 1:45:31 time: 0.4039 data_time: 0.0164 memory: 17007 grad_norm: 6.2008 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3404 loss: 2.3404 2022/07/27 18:20:29 - mmengine - INFO - Epoch(train) [60][2760/3757] lr: 7.5752e-03 eta: 2 days, 1:45:23 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.3071 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1540 loss: 2.1540 2022/07/27 18:20:36 - mmengine - INFO - Epoch(train) [60][2780/3757] lr: 7.5752e-03 eta: 2 days, 1:45:15 time: 0.3929 data_time: 0.0143 memory: 17007 grad_norm: 6.1810 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1721 loss: 2.1721 2022/07/27 18:20:44 - mmengine - INFO - Epoch(train) [60][2800/3757] lr: 7.5752e-03 eta: 2 days, 1:45:07 time: 0.3980 data_time: 0.0164 memory: 17007 grad_norm: 6.3332 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1859 loss: 2.1859 2022/07/27 18:20:52 - mmengine - INFO - Epoch(train) [60][2820/3757] lr: 7.5752e-03 eta: 2 days, 1:44:59 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 6.2324 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6523 loss: 2.6523 2022/07/27 18:21:00 - mmengine - INFO - Epoch(train) [60][2840/3757] lr: 7.5752e-03 eta: 2 days, 1:44:51 time: 0.4046 data_time: 0.0162 memory: 17007 grad_norm: 6.2118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0477 loss: 2.0477 2022/07/27 18:21:08 - mmengine - INFO - Epoch(train) [60][2860/3757] lr: 7.5752e-03 eta: 2 days, 1:44:43 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 6.1441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2368 loss: 2.2368 2022/07/27 18:21:16 - mmengine - INFO - Epoch(train) [60][2880/3757] lr: 7.5752e-03 eta: 2 days, 1:44:35 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 6.2376 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2611 loss: 2.2611 2022/07/27 18:21:24 - mmengine - INFO - Epoch(train) [60][2900/3757] lr: 7.5752e-03 eta: 2 days, 1:44:27 time: 0.3981 data_time: 0.0154 memory: 17007 grad_norm: 6.1870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1614 loss: 2.1614 2022/07/27 18:21:32 - mmengine - INFO - Epoch(train) [60][2920/3757] lr: 7.5752e-03 eta: 2 days, 1:44:19 time: 0.3980 data_time: 0.0151 memory: 17007 grad_norm: 6.3777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2576 loss: 2.2576 2022/07/27 18:21:40 - mmengine - INFO - Epoch(train) [60][2940/3757] lr: 7.5752e-03 eta: 2 days, 1:44:12 time: 0.4046 data_time: 0.0166 memory: 17007 grad_norm: 6.2676 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2698 loss: 2.2698 2022/07/27 18:21:48 - mmengine - INFO - Epoch(train) [60][2960/3757] lr: 7.5752e-03 eta: 2 days, 1:44:04 time: 0.3924 data_time: 0.0147 memory: 17007 grad_norm: 6.3884 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1879 loss: 2.1879 2022/07/27 18:21:56 - mmengine - INFO - Epoch(train) [60][2980/3757] lr: 7.5752e-03 eta: 2 days, 1:43:56 time: 0.3942 data_time: 0.0148 memory: 17007 grad_norm: 6.3288 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5512 loss: 2.5512 2022/07/27 18:22:04 - mmengine - INFO - Epoch(train) [60][3000/3757] lr: 7.5752e-03 eta: 2 days, 1:43:48 time: 0.4098 data_time: 0.0161 memory: 17007 grad_norm: 5.9776 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2045 loss: 2.2045 2022/07/27 18:22:12 - mmengine - INFO - Epoch(train) [60][3020/3757] lr: 7.5752e-03 eta: 2 days, 1:43:40 time: 0.3945 data_time: 0.0150 memory: 17007 grad_norm: 6.4606 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6253 loss: 2.6253 2022/07/27 18:22:20 - mmengine - INFO - Epoch(train) [60][3040/3757] lr: 7.5752e-03 eta: 2 days, 1:43:33 time: 0.4098 data_time: 0.0163 memory: 17007 grad_norm: 6.0205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0999 loss: 2.0999 2022/07/27 18:22:28 - mmengine - INFO - Epoch(train) [60][3060/3757] lr: 7.5752e-03 eta: 2 days, 1:43:25 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 6.1182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3084 loss: 2.3084 2022/07/27 18:22:36 - mmengine - INFO - Epoch(train) [60][3080/3757] lr: 7.5752e-03 eta: 2 days, 1:43:17 time: 0.4134 data_time: 0.0153 memory: 17007 grad_norm: 6.1067 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6445 loss: 2.6445 2022/07/27 18:22:44 - mmengine - INFO - Epoch(train) [60][3100/3757] lr: 7.5752e-03 eta: 2 days, 1:43:10 time: 0.4018 data_time: 0.0164 memory: 17007 grad_norm: 6.1940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3340 loss: 2.3340 2022/07/27 18:22:52 - mmengine - INFO - Epoch(train) [60][3120/3757] lr: 7.5752e-03 eta: 2 days, 1:43:02 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 6.5425 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4228 loss: 2.4228 2022/07/27 18:23:00 - mmengine - INFO - Epoch(train) [60][3140/3757] lr: 7.5752e-03 eta: 2 days, 1:42:54 time: 0.4044 data_time: 0.0152 memory: 17007 grad_norm: 6.4544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3393 loss: 2.3393 2022/07/27 18:23:08 - mmengine - INFO - Epoch(train) [60][3160/3757] lr: 7.5752e-03 eta: 2 days, 1:42:46 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 6.1680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1340 loss: 2.1340 2022/07/27 18:23:16 - mmengine - INFO - Epoch(train) [60][3180/3757] lr: 7.5752e-03 eta: 2 days, 1:42:38 time: 0.3929 data_time: 0.0148 memory: 17007 grad_norm: 6.2819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3792 loss: 2.3792 2022/07/27 18:23:24 - mmengine - INFO - Epoch(train) [60][3200/3757] lr: 7.5752e-03 eta: 2 days, 1:42:31 time: 0.4117 data_time: 0.0175 memory: 17007 grad_norm: 6.3039 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3997 loss: 2.3997 2022/07/27 18:23:32 - mmengine - INFO - Epoch(train) [60][3220/3757] lr: 7.5752e-03 eta: 2 days, 1:42:23 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 6.2293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2099 loss: 2.2099 2022/07/27 18:23:40 - mmengine - INFO - Epoch(train) [60][3240/3757] lr: 7.5752e-03 eta: 2 days, 1:42:15 time: 0.3957 data_time: 0.0165 memory: 17007 grad_norm: 6.1256 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1330 loss: 2.1330 2022/07/27 18:23:48 - mmengine - INFO - Epoch(train) [60][3260/3757] lr: 7.5752e-03 eta: 2 days, 1:42:07 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 6.2992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2114 loss: 2.2114 2022/07/27 18:23:56 - mmengine - INFO - Epoch(train) [60][3280/3757] lr: 7.5752e-03 eta: 2 days, 1:41:59 time: 0.4035 data_time: 0.0156 memory: 17007 grad_norm: 6.1078 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3134 loss: 2.3134 2022/07/27 18:24:04 - mmengine - INFO - Epoch(train) [60][3300/3757] lr: 7.5752e-03 eta: 2 days, 1:41:52 time: 0.4100 data_time: 0.0164 memory: 17007 grad_norm: 6.1478 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0729 loss: 2.0729 2022/07/27 18:24:12 - mmengine - INFO - Epoch(train) [60][3320/3757] lr: 7.5752e-03 eta: 2 days, 1:41:44 time: 0.4032 data_time: 0.0167 memory: 17007 grad_norm: 6.5492 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5455 loss: 2.5455 2022/07/27 18:24:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:24:20 - mmengine - INFO - Epoch(train) [60][3340/3757] lr: 7.5752e-03 eta: 2 days, 1:41:36 time: 0.4004 data_time: 0.0159 memory: 17007 grad_norm: 6.1505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4875 loss: 2.4875 2022/07/27 18:24:28 - mmengine - INFO - Epoch(train) [60][3360/3757] lr: 7.5752e-03 eta: 2 days, 1:41:28 time: 0.3938 data_time: 0.0165 memory: 17007 grad_norm: 6.1784 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3080 loss: 2.3080 2022/07/27 18:24:36 - mmengine - INFO - Epoch(train) [60][3380/3757] lr: 7.5752e-03 eta: 2 days, 1:41:20 time: 0.3998 data_time: 0.0146 memory: 17007 grad_norm: 6.5912 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3958 loss: 2.3958 2022/07/27 18:24:44 - mmengine - INFO - Epoch(train) [60][3400/3757] lr: 7.5752e-03 eta: 2 days, 1:41:12 time: 0.3963 data_time: 0.0159 memory: 17007 grad_norm: 6.1794 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3783 loss: 2.3783 2022/07/27 18:24:52 - mmengine - INFO - Epoch(train) [60][3420/3757] lr: 7.5752e-03 eta: 2 days, 1:41:05 time: 0.3978 data_time: 0.0147 memory: 17007 grad_norm: 6.3760 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1542 loss: 2.1542 2022/07/27 18:25:00 - mmengine - INFO - Epoch(train) [60][3440/3757] lr: 7.5752e-03 eta: 2 days, 1:40:57 time: 0.4000 data_time: 0.0153 memory: 17007 grad_norm: 6.3000 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3497 loss: 2.3497 2022/07/27 18:25:08 - mmengine - INFO - Epoch(train) [60][3460/3757] lr: 7.5752e-03 eta: 2 days, 1:40:49 time: 0.3916 data_time: 0.0136 memory: 17007 grad_norm: 6.5185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4033 loss: 2.4033 2022/07/27 18:25:16 - mmengine - INFO - Epoch(train) [60][3480/3757] lr: 7.5752e-03 eta: 2 days, 1:40:41 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 6.3094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4938 loss: 2.4938 2022/07/27 18:25:24 - mmengine - INFO - Epoch(train) [60][3500/3757] lr: 7.5752e-03 eta: 2 days, 1:40:33 time: 0.4003 data_time: 0.0160 memory: 17007 grad_norm: 6.6443 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2828 loss: 2.2828 2022/07/27 18:25:32 - mmengine - INFO - Epoch(train) [60][3520/3757] lr: 7.5752e-03 eta: 2 days, 1:40:25 time: 0.3994 data_time: 0.0159 memory: 17007 grad_norm: 6.4011 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3134 loss: 2.3134 2022/07/27 18:25:40 - mmengine - INFO - Epoch(train) [60][3540/3757] lr: 7.5752e-03 eta: 2 days, 1:40:18 time: 0.4076 data_time: 0.0159 memory: 17007 grad_norm: 6.3094 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5535 loss: 2.5535 2022/07/27 18:25:48 - mmengine - INFO - Epoch(train) [60][3560/3757] lr: 7.5752e-03 eta: 2 days, 1:40:09 time: 0.3931 data_time: 0.0157 memory: 17007 grad_norm: 6.1884 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1449 loss: 2.1449 2022/07/27 18:25:56 - mmengine - INFO - Epoch(train) [60][3580/3757] lr: 7.5752e-03 eta: 2 days, 1:40:02 time: 0.4017 data_time: 0.0158 memory: 17007 grad_norm: 6.6327 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2544 loss: 2.2544 2022/07/27 18:26:04 - mmengine - INFO - Epoch(train) [60][3600/3757] lr: 7.5752e-03 eta: 2 days, 1:39:54 time: 0.4003 data_time: 0.0156 memory: 17007 grad_norm: 6.4411 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4002 loss: 2.4002 2022/07/27 18:26:12 - mmengine - INFO - Epoch(train) [60][3620/3757] lr: 7.5752e-03 eta: 2 days, 1:39:46 time: 0.4005 data_time: 0.0156 memory: 17007 grad_norm: 6.2591 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0505 loss: 2.0505 2022/07/27 18:26:20 - mmengine - INFO - Epoch(train) [60][3640/3757] lr: 7.5752e-03 eta: 2 days, 1:39:38 time: 0.4008 data_time: 0.0157 memory: 17007 grad_norm: 6.4436 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0621 loss: 2.0621 2022/07/27 18:26:28 - mmengine - INFO - Epoch(train) [60][3660/3757] lr: 7.5752e-03 eta: 2 days, 1:39:30 time: 0.3921 data_time: 0.0146 memory: 17007 grad_norm: 6.3021 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0909 loss: 2.0909 2022/07/27 18:26:36 - mmengine - INFO - Epoch(train) [60][3680/3757] lr: 7.5752e-03 eta: 2 days, 1:39:22 time: 0.3934 data_time: 0.0161 memory: 17007 grad_norm: 6.2629 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3868 loss: 2.3868 2022/07/27 18:26:44 - mmengine - INFO - Epoch(train) [60][3700/3757] lr: 7.5752e-03 eta: 2 days, 1:39:15 time: 0.4014 data_time: 0.0141 memory: 17007 grad_norm: 6.2930 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2483 loss: 2.2483 2022/07/27 18:26:52 - mmengine - INFO - Epoch(train) [60][3720/3757] lr: 7.5752e-03 eta: 2 days, 1:39:07 time: 0.3997 data_time: 0.0169 memory: 17007 grad_norm: 6.3416 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2270 loss: 2.2270 2022/07/27 18:27:00 - mmengine - INFO - Epoch(train) [60][3740/3757] lr: 7.5752e-03 eta: 2 days, 1:38:59 time: 0.3934 data_time: 0.0142 memory: 17007 grad_norm: 6.1722 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4308 loss: 2.4308 2022/07/27 18:27:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:27:06 - mmengine - INFO - Epoch(train) [60][3757/3757] lr: 7.5752e-03 eta: 2 days, 1:38:59 time: 0.3942 data_time: 0.0168 memory: 17007 grad_norm: 6.2323 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 2.3252 loss: 2.3252 2022/07/27 18:27:06 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/07/27 18:27:13 - mmengine - INFO - Epoch(val) [60][20/310] eta: 0:01:03 time: 0.2178 data_time: 0.1150 memory: 3963 2022/07/27 18:27:16 - mmengine - INFO - Epoch(val) [60][40/310] eta: 0:00:41 time: 0.1537 data_time: 0.0485 memory: 3963 2022/07/27 18:27:19 - mmengine - INFO - Epoch(val) [60][60/310] eta: 0:00:40 time: 0.1639 data_time: 0.0594 memory: 3963 2022/07/27 18:27:22 - mmengine - INFO - Epoch(val) [60][80/310] eta: 0:00:39 time: 0.1707 data_time: 0.0653 memory: 3963 2022/07/27 18:27:26 - mmengine - INFO - Epoch(val) [60][100/310] eta: 0:00:34 time: 0.1637 data_time: 0.0597 memory: 3963 2022/07/27 18:27:29 - mmengine - INFO - Epoch(val) [60][120/310] eta: 0:00:29 time: 0.1566 data_time: 0.0527 memory: 3963 2022/07/27 18:27:33 - mmengine - INFO - Epoch(val) [60][140/310] eta: 0:00:32 time: 0.1935 data_time: 0.0851 memory: 3963 2022/07/27 18:27:36 - mmengine - INFO - Epoch(val) [60][160/310] eta: 0:00:24 time: 0.1619 data_time: 0.0561 memory: 3963 2022/07/27 18:27:39 - mmengine - INFO - Epoch(val) [60][180/310] eta: 0:00:22 time: 0.1740 data_time: 0.0705 memory: 3963 2022/07/27 18:27:43 - mmengine - INFO - Epoch(val) [60][200/310] eta: 0:00:17 time: 0.1599 data_time: 0.0402 memory: 3963 2022/07/27 18:27:46 - mmengine - INFO - Epoch(val) [60][220/310] eta: 0:00:14 time: 0.1657 data_time: 0.0573 memory: 3963 2022/07/27 18:27:49 - mmengine - INFO - Epoch(val) [60][240/310] eta: 0:00:11 time: 0.1589 data_time: 0.0568 memory: 3963 2022/07/27 18:27:53 - mmengine - INFO - Epoch(val) [60][260/310] eta: 0:00:08 time: 0.1673 data_time: 0.0624 memory: 3963 2022/07/27 18:27:56 - mmengine - INFO - Epoch(val) [60][280/310] eta: 0:00:05 time: 0.1769 data_time: 0.0724 memory: 3963 2022/07/27 18:27:59 - mmengine - INFO - Epoch(val) [60][300/310] eta: 0:00:01 time: 0.1581 data_time: 0.0539 memory: 3963 2022/07/27 18:28:05 - mmengine - INFO - Epoch(val) [60][310/310] acc/top1: 0.5448 acc/top5: 0.7918 acc/mean1: 0.5446 2022/07/27 18:28:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/best_acc/top1_epoch_41.pth is removed 2022/07/27 18:28:06 - mmengine - INFO - The best checkpoint with 0.5448 acc/top1 at 61 epoch is saved to best_acc/top1_epoch_61.pth. 2022/07/27 18:28:15 - mmengine - INFO - Epoch(train) [61][20/3757] lr: 7.5000e-03 eta: 2 days, 1:38:33 time: 0.4541 data_time: 0.0715 memory: 17007 grad_norm: 6.1288 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4348 loss: 2.4348 2022/07/27 18:28:23 - mmengine - INFO - Epoch(train) [61][40/3757] lr: 7.5000e-03 eta: 2 days, 1:38:25 time: 0.3977 data_time: 0.0167 memory: 17007 grad_norm: 6.2449 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0991 loss: 2.0991 2022/07/27 18:28:31 - mmengine - INFO - Epoch(train) [61][60/3757] lr: 7.5000e-03 eta: 2 days, 1:38:17 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 6.2359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0426 loss: 2.0426 2022/07/27 18:28:39 - mmengine - INFO - Epoch(train) [61][80/3757] lr: 7.5000e-03 eta: 2 days, 1:38:09 time: 0.3911 data_time: 0.0147 memory: 17007 grad_norm: 6.4219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4623 loss: 2.4623 2022/07/27 18:28:47 - mmengine - INFO - Epoch(train) [61][100/3757] lr: 7.5000e-03 eta: 2 days, 1:38:01 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 6.1926 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1326 loss: 2.1326 2022/07/27 18:28:55 - mmengine - INFO - Epoch(train) [61][120/3757] lr: 7.5000e-03 eta: 2 days, 1:37:53 time: 0.4009 data_time: 0.0148 memory: 17007 grad_norm: 6.4823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3822 loss: 2.3822 2022/07/27 18:29:03 - mmengine - INFO - Epoch(train) [61][140/3757] lr: 7.5000e-03 eta: 2 days, 1:37:45 time: 0.4024 data_time: 0.0145 memory: 17007 grad_norm: 6.5390 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4414 loss: 2.4414 2022/07/27 18:29:12 - mmengine - INFO - Epoch(train) [61][160/3757] lr: 7.5000e-03 eta: 2 days, 1:37:39 time: 0.4451 data_time: 0.0161 memory: 17007 grad_norm: 6.2659 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2005 loss: 2.2005 2022/07/27 18:29:20 - mmengine - INFO - Epoch(train) [61][180/3757] lr: 7.5000e-03 eta: 2 days, 1:37:31 time: 0.3975 data_time: 0.0138 memory: 17007 grad_norm: 6.3705 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3713 loss: 2.3713 2022/07/27 18:29:28 - mmengine - INFO - Epoch(train) [61][200/3757] lr: 7.5000e-03 eta: 2 days, 1:37:24 time: 0.4045 data_time: 0.0156 memory: 17007 grad_norm: 6.0304 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3370 loss: 2.3370 2022/07/27 18:29:36 - mmengine - INFO - Epoch(train) [61][220/3757] lr: 7.5000e-03 eta: 2 days, 1:37:16 time: 0.3919 data_time: 0.0147 memory: 17007 grad_norm: 6.2611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9824 loss: 1.9824 2022/07/27 18:29:44 - mmengine - INFO - Epoch(train) [61][240/3757] lr: 7.5000e-03 eta: 2 days, 1:37:08 time: 0.4080 data_time: 0.0163 memory: 17007 grad_norm: 6.3602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3534 loss: 2.3534 2022/07/27 18:29:52 - mmengine - INFO - Epoch(train) [61][260/3757] lr: 7.5000e-03 eta: 2 days, 1:37:00 time: 0.3919 data_time: 0.0132 memory: 17007 grad_norm: 6.2784 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2672 loss: 2.2672 2022/07/27 18:30:00 - mmengine - INFO - Epoch(train) [61][280/3757] lr: 7.5000e-03 eta: 2 days, 1:36:52 time: 0.3912 data_time: 0.0146 memory: 17007 grad_norm: 6.1197 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0423 loss: 2.0423 2022/07/27 18:30:08 - mmengine - INFO - Epoch(train) [61][300/3757] lr: 7.5000e-03 eta: 2 days, 1:36:44 time: 0.4039 data_time: 0.0134 memory: 17007 grad_norm: 6.0313 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5292 loss: 2.5292 2022/07/27 18:30:16 - mmengine - INFO - Epoch(train) [61][320/3757] lr: 7.5000e-03 eta: 2 days, 1:36:36 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.1690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0112 loss: 2.0112 2022/07/27 18:30:24 - mmengine - INFO - Epoch(train) [61][340/3757] lr: 7.5000e-03 eta: 2 days, 1:36:29 time: 0.4102 data_time: 0.0162 memory: 17007 grad_norm: 6.7350 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2183 loss: 2.2183 2022/07/27 18:30:32 - mmengine - INFO - Epoch(train) [61][360/3757] lr: 7.5000e-03 eta: 2 days, 1:36:21 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 6.4095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1823 loss: 2.1823 2022/07/27 18:30:40 - mmengine - INFO - Epoch(train) [61][380/3757] lr: 7.5000e-03 eta: 2 days, 1:36:13 time: 0.3922 data_time: 0.0131 memory: 17007 grad_norm: 6.2079 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3702 loss: 2.3702 2022/07/27 18:30:48 - mmengine - INFO - Epoch(train) [61][400/3757] lr: 7.5000e-03 eta: 2 days, 1:36:05 time: 0.3962 data_time: 0.0169 memory: 17007 grad_norm: 6.3097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2436 loss: 2.2436 2022/07/27 18:30:56 - mmengine - INFO - Epoch(train) [61][420/3757] lr: 7.5000e-03 eta: 2 days, 1:35:57 time: 0.4004 data_time: 0.0138 memory: 17007 grad_norm: 6.1464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2353 loss: 2.2353 2022/07/27 18:31:04 - mmengine - INFO - Epoch(train) [61][440/3757] lr: 7.5000e-03 eta: 2 days, 1:35:50 time: 0.4065 data_time: 0.0164 memory: 17007 grad_norm: 5.9342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0062 loss: 2.0062 2022/07/27 18:31:12 - mmengine - INFO - Epoch(train) [61][460/3757] lr: 7.5000e-03 eta: 2 days, 1:35:41 time: 0.3909 data_time: 0.0133 memory: 17007 grad_norm: 6.4955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2537 loss: 2.2537 2022/07/27 18:31:19 - mmengine - INFO - Epoch(train) [61][480/3757] lr: 7.5000e-03 eta: 2 days, 1:35:33 time: 0.3941 data_time: 0.0148 memory: 17007 grad_norm: 6.3333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1580 loss: 2.1580 2022/07/27 18:31:28 - mmengine - INFO - Epoch(train) [61][500/3757] lr: 7.5000e-03 eta: 2 days, 1:35:26 time: 0.4097 data_time: 0.0158 memory: 17007 grad_norm: 6.3660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4048 loss: 2.4048 2022/07/27 18:31:35 - mmengine - INFO - Epoch(train) [61][520/3757] lr: 7.5000e-03 eta: 2 days, 1:35:18 time: 0.3940 data_time: 0.0147 memory: 17007 grad_norm: 6.4075 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2875 loss: 2.2875 2022/07/27 18:31:44 - mmengine - INFO - Epoch(train) [61][540/3757] lr: 7.5000e-03 eta: 2 days, 1:35:10 time: 0.4043 data_time: 0.0167 memory: 17007 grad_norm: 6.2632 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4961 loss: 2.4961 2022/07/27 18:31:51 - mmengine - INFO - Epoch(train) [61][560/3757] lr: 7.5000e-03 eta: 2 days, 1:35:02 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 6.4660 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3986 loss: 2.3986 2022/07/27 18:31:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:31:59 - mmengine - INFO - Epoch(train) [61][580/3757] lr: 7.5000e-03 eta: 2 days, 1:34:54 time: 0.3918 data_time: 0.0141 memory: 17007 grad_norm: 6.2439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3139 loss: 2.3139 2022/07/27 18:32:07 - mmengine - INFO - Epoch(train) [61][600/3757] lr: 7.5000e-03 eta: 2 days, 1:34:47 time: 0.4027 data_time: 0.0161 memory: 17007 grad_norm: 6.5166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3815 loss: 2.3815 2022/07/27 18:32:15 - mmengine - INFO - Epoch(train) [61][620/3757] lr: 7.5000e-03 eta: 2 days, 1:34:38 time: 0.3910 data_time: 0.0141 memory: 17007 grad_norm: 6.3460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4631 loss: 2.4631 2022/07/27 18:32:23 - mmengine - INFO - Epoch(train) [61][640/3757] lr: 7.5000e-03 eta: 2 days, 1:34:31 time: 0.4075 data_time: 0.0169 memory: 17007 grad_norm: 6.3440 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1352 loss: 2.1352 2022/07/27 18:32:32 - mmengine - INFO - Epoch(train) [61][660/3757] lr: 7.5000e-03 eta: 2 days, 1:34:24 time: 0.4214 data_time: 0.0152 memory: 17007 grad_norm: 6.2146 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9904 loss: 1.9904 2022/07/27 18:32:42 - mmengine - INFO - Epoch(train) [61][680/3757] lr: 7.5000e-03 eta: 2 days, 1:34:21 time: 0.5217 data_time: 0.0163 memory: 17007 grad_norm: 6.4199 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2769 loss: 2.2769 2022/07/27 18:32:50 - mmengine - INFO - Epoch(train) [61][700/3757] lr: 7.5000e-03 eta: 2 days, 1:34:13 time: 0.3907 data_time: 0.0163 memory: 17007 grad_norm: 6.3997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3269 loss: 2.3269 2022/07/27 18:32:58 - mmengine - INFO - Epoch(train) [61][720/3757] lr: 7.5000e-03 eta: 2 days, 1:34:05 time: 0.3911 data_time: 0.0136 memory: 17007 grad_norm: 6.3965 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4478 loss: 2.4478 2022/07/27 18:33:06 - mmengine - INFO - Epoch(train) [61][740/3757] lr: 7.5000e-03 eta: 2 days, 1:33:57 time: 0.4021 data_time: 0.0165 memory: 17007 grad_norm: 6.3467 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4626 loss: 2.4626 2022/07/27 18:33:14 - mmengine - INFO - Epoch(train) [61][760/3757] lr: 7.5000e-03 eta: 2 days, 1:33:49 time: 0.3924 data_time: 0.0135 memory: 17007 grad_norm: 6.2774 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4239 loss: 2.4239 2022/07/27 18:33:22 - mmengine - INFO - Epoch(train) [61][780/3757] lr: 7.5000e-03 eta: 2 days, 1:33:41 time: 0.3970 data_time: 0.0159 memory: 17007 grad_norm: 6.2017 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3744 loss: 2.3744 2022/07/27 18:33:30 - mmengine - INFO - Epoch(train) [61][800/3757] lr: 7.5000e-03 eta: 2 days, 1:33:33 time: 0.3912 data_time: 0.0135 memory: 17007 grad_norm: 6.3508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5242 loss: 2.5242 2022/07/27 18:33:38 - mmengine - INFO - Epoch(train) [61][820/3757] lr: 7.5000e-03 eta: 2 days, 1:33:25 time: 0.4009 data_time: 0.0152 memory: 17007 grad_norm: 5.9985 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2767 loss: 2.2767 2022/07/27 18:33:46 - mmengine - INFO - Epoch(train) [61][840/3757] lr: 7.5000e-03 eta: 2 days, 1:33:17 time: 0.4013 data_time: 0.0151 memory: 17007 grad_norm: 6.4349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2463 loss: 2.2463 2022/07/27 18:33:53 - mmengine - INFO - Epoch(train) [61][860/3757] lr: 7.5000e-03 eta: 2 days, 1:33:09 time: 0.3936 data_time: 0.0152 memory: 17007 grad_norm: 6.2048 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0639 loss: 2.0639 2022/07/27 18:34:01 - mmengine - INFO - Epoch(train) [61][880/3757] lr: 7.5000e-03 eta: 2 days, 1:33:01 time: 0.3952 data_time: 0.0151 memory: 17007 grad_norm: 6.1035 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9957 loss: 1.9957 2022/07/27 18:34:09 - mmengine - INFO - Epoch(train) [61][900/3757] lr: 7.5000e-03 eta: 2 days, 1:32:53 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 6.6273 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1486 loss: 2.1486 2022/07/27 18:34:17 - mmengine - INFO - Epoch(train) [61][920/3757] lr: 7.5000e-03 eta: 2 days, 1:32:45 time: 0.3909 data_time: 0.0125 memory: 17007 grad_norm: 6.3152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2095 loss: 2.2095 2022/07/27 18:34:26 - mmengine - INFO - Epoch(train) [61][940/3757] lr: 7.5000e-03 eta: 2 days, 1:32:39 time: 0.4367 data_time: 0.0152 memory: 17007 grad_norm: 6.1867 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2503 loss: 2.2503 2022/07/27 18:34:34 - mmengine - INFO - Epoch(train) [61][960/3757] lr: 7.5000e-03 eta: 2 days, 1:32:31 time: 0.3913 data_time: 0.0120 memory: 17007 grad_norm: 6.2518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2841 loss: 2.2841 2022/07/27 18:34:42 - mmengine - INFO - Epoch(train) [61][980/3757] lr: 7.5000e-03 eta: 2 days, 1:32:24 time: 0.4296 data_time: 0.0176 memory: 17007 grad_norm: 6.3847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1665 loss: 2.1665 2022/07/27 18:34:50 - mmengine - INFO - Epoch(train) [61][1000/3757] lr: 7.5000e-03 eta: 2 days, 1:32:16 time: 0.3911 data_time: 0.0132 memory: 17007 grad_norm: 6.2599 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2941 loss: 2.2941 2022/07/27 18:34:58 - mmengine - INFO - Epoch(train) [61][1020/3757] lr: 7.5000e-03 eta: 2 days, 1:32:08 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.3679 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0069 loss: 2.0069 2022/07/27 18:35:06 - mmengine - INFO - Epoch(train) [61][1040/3757] lr: 7.5000e-03 eta: 2 days, 1:32:00 time: 0.4035 data_time: 0.0138 memory: 17007 grad_norm: 6.3700 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1421 loss: 2.1421 2022/07/27 18:35:14 - mmengine - INFO - Epoch(train) [61][1060/3757] lr: 7.5000e-03 eta: 2 days, 1:31:52 time: 0.3926 data_time: 0.0156 memory: 17007 grad_norm: 6.4297 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3580 loss: 2.3580 2022/07/27 18:35:22 - mmengine - INFO - Epoch(train) [61][1080/3757] lr: 7.5000e-03 eta: 2 days, 1:31:45 time: 0.4049 data_time: 0.0125 memory: 17007 grad_norm: 6.5693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2063 loss: 2.2063 2022/07/27 18:35:30 - mmengine - INFO - Epoch(train) [61][1100/3757] lr: 7.5000e-03 eta: 2 days, 1:31:36 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 6.2539 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3292 loss: 2.3292 2022/07/27 18:35:38 - mmengine - INFO - Epoch(train) [61][1120/3757] lr: 7.5000e-03 eta: 2 days, 1:31:28 time: 0.3913 data_time: 0.0126 memory: 17007 grad_norm: 6.3935 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5885 loss: 2.5885 2022/07/27 18:35:46 - mmengine - INFO - Epoch(train) [61][1140/3757] lr: 7.5000e-03 eta: 2 days, 1:31:21 time: 0.4091 data_time: 0.0173 memory: 17007 grad_norm: 6.0882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1277 loss: 2.1277 2022/07/27 18:35:54 - mmengine - INFO - Epoch(train) [61][1160/3757] lr: 7.5000e-03 eta: 2 days, 1:31:13 time: 0.3901 data_time: 0.0128 memory: 17007 grad_norm: 6.2892 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7036 loss: 2.7036 2022/07/27 18:36:02 - mmengine - INFO - Epoch(train) [61][1180/3757] lr: 7.5000e-03 eta: 2 days, 1:31:05 time: 0.4040 data_time: 0.0159 memory: 17007 grad_norm: 6.2924 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2460 loss: 2.2460 2022/07/27 18:36:10 - mmengine - INFO - Epoch(train) [61][1200/3757] lr: 7.5000e-03 eta: 2 days, 1:30:57 time: 0.3924 data_time: 0.0133 memory: 17007 grad_norm: 6.3280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2785 loss: 2.2785 2022/07/27 18:36:17 - mmengine - INFO - Epoch(train) [61][1220/3757] lr: 7.5000e-03 eta: 2 days, 1:30:49 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 6.2326 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0960 loss: 2.0960 2022/07/27 18:36:26 - mmengine - INFO - Epoch(train) [61][1240/3757] lr: 7.5000e-03 eta: 2 days, 1:30:41 time: 0.4076 data_time: 0.0139 memory: 17007 grad_norm: 6.3913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0496 loss: 2.0496 2022/07/27 18:36:34 - mmengine - INFO - Epoch(train) [61][1260/3757] lr: 7.5000e-03 eta: 2 days, 1:30:33 time: 0.3939 data_time: 0.0162 memory: 17007 grad_norm: 6.2421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1249 loss: 2.1249 2022/07/27 18:36:42 - mmengine - INFO - Epoch(train) [61][1280/3757] lr: 7.5000e-03 eta: 2 days, 1:30:26 time: 0.3985 data_time: 0.0140 memory: 17007 grad_norm: 6.2334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1443 loss: 2.1443 2022/07/27 18:36:49 - mmengine - INFO - Epoch(train) [61][1300/3757] lr: 7.5000e-03 eta: 2 days, 1:30:18 time: 0.3939 data_time: 0.0157 memory: 17007 grad_norm: 6.4213 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3878 loss: 2.3878 2022/07/27 18:36:57 - mmengine - INFO - Epoch(train) [61][1320/3757] lr: 7.5000e-03 eta: 2 days, 1:30:09 time: 0.3910 data_time: 0.0121 memory: 17007 grad_norm: 6.3814 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2886 loss: 2.2886 2022/07/27 18:37:05 - mmengine - INFO - Epoch(train) [61][1340/3757] lr: 7.5000e-03 eta: 2 days, 1:30:02 time: 0.4048 data_time: 0.0163 memory: 17007 grad_norm: 6.2600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2869 loss: 2.2869 2022/07/27 18:37:13 - mmengine - INFO - Epoch(train) [61][1360/3757] lr: 7.5000e-03 eta: 2 days, 1:29:54 time: 0.3910 data_time: 0.0125 memory: 17007 grad_norm: 6.1532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1187 loss: 2.1187 2022/07/27 18:37:21 - mmengine - INFO - Epoch(train) [61][1380/3757] lr: 7.5000e-03 eta: 2 days, 1:29:47 time: 0.4165 data_time: 0.0176 memory: 17007 grad_norm: 6.2331 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2821 loss: 2.2821 2022/07/27 18:37:29 - mmengine - INFO - Epoch(train) [61][1400/3757] lr: 7.5000e-03 eta: 2 days, 1:29:38 time: 0.3927 data_time: 0.0136 memory: 17007 grad_norm: 6.4008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4537 loss: 2.4537 2022/07/27 18:37:37 - mmengine - INFO - Epoch(train) [61][1420/3757] lr: 7.5000e-03 eta: 2 days, 1:29:30 time: 0.3930 data_time: 0.0146 memory: 17007 grad_norm: 6.1492 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2825 loss: 2.2825 2022/07/27 18:37:45 - mmengine - INFO - Epoch(train) [61][1440/3757] lr: 7.5000e-03 eta: 2 days, 1:29:23 time: 0.4109 data_time: 0.0147 memory: 17007 grad_norm: 6.2567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3135 loss: 2.3135 2022/07/27 18:37:53 - mmengine - INFO - Epoch(train) [61][1460/3757] lr: 7.5000e-03 eta: 2 days, 1:29:15 time: 0.3949 data_time: 0.0163 memory: 17007 grad_norm: 6.5946 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4369 loss: 2.4369 2022/07/27 18:38:02 - mmengine - INFO - Epoch(train) [61][1480/3757] lr: 7.5000e-03 eta: 2 days, 1:29:08 time: 0.4150 data_time: 0.0156 memory: 17007 grad_norm: 6.2111 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1853 loss: 2.1853 2022/07/27 18:38:10 - mmengine - INFO - Epoch(train) [61][1500/3757] lr: 7.5000e-03 eta: 2 days, 1:29:00 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 6.5602 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5002 loss: 2.5002 2022/07/27 18:38:19 - mmengine - INFO - Epoch(train) [61][1520/3757] lr: 7.5000e-03 eta: 2 days, 1:28:55 time: 0.4769 data_time: 0.0153 memory: 17007 grad_norm: 6.0903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3077 loss: 2.3077 2022/07/27 18:38:34 - mmengine - INFO - Epoch(train) [61][1540/3757] lr: 7.5000e-03 eta: 2 days, 1:29:02 time: 0.7649 data_time: 0.0141 memory: 17007 grad_norm: 6.2214 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5248 loss: 2.5248 2022/07/27 18:38:46 - mmengine - INFO - Epoch(train) [61][1560/3757] lr: 7.5000e-03 eta: 2 days, 1:29:01 time: 0.5703 data_time: 0.0175 memory: 17007 grad_norm: 6.4109 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3665 loss: 2.3665 2022/07/27 18:38:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:38:59 - mmengine - INFO - Epoch(train) [61][1580/3757] lr: 7.5000e-03 eta: 2 days, 1:29:03 time: 0.6465 data_time: 0.0968 memory: 17007 grad_norm: 6.2402 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1347 loss: 2.1347 2022/07/27 18:39:15 - mmengine - INFO - Epoch(train) [61][1600/3757] lr: 7.5000e-03 eta: 2 days, 1:29:12 time: 0.8285 data_time: 0.0165 memory: 17007 grad_norm: 6.3573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3101 loss: 2.3101 2022/07/27 18:39:27 - mmengine - INFO - Epoch(train) [61][1620/3757] lr: 7.5000e-03 eta: 2 days, 1:29:11 time: 0.5735 data_time: 0.0149 memory: 17007 grad_norm: 6.1328 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9695 loss: 1.9695 2022/07/27 18:39:38 - mmengine - INFO - Epoch(train) [61][1640/3757] lr: 7.5000e-03 eta: 2 days, 1:29:09 time: 0.5597 data_time: 0.0152 memory: 17007 grad_norm: 6.3745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3315 loss: 2.3315 2022/07/27 18:39:46 - mmengine - INFO - Epoch(train) [61][1660/3757] lr: 7.5000e-03 eta: 2 days, 1:29:01 time: 0.3924 data_time: 0.0157 memory: 17007 grad_norm: 6.5553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3830 loss: 2.3830 2022/07/27 18:39:54 - mmengine - INFO - Epoch(train) [61][1680/3757] lr: 7.5000e-03 eta: 2 days, 1:28:53 time: 0.3974 data_time: 0.0149 memory: 17007 grad_norm: 6.2773 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3306 loss: 2.3306 2022/07/27 18:40:02 - mmengine - INFO - Epoch(train) [61][1700/3757] lr: 7.5000e-03 eta: 2 days, 1:28:45 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 6.2824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4985 loss: 2.4985 2022/07/27 18:40:09 - mmengine - INFO - Epoch(train) [61][1720/3757] lr: 7.5000e-03 eta: 2 days, 1:28:37 time: 0.3912 data_time: 0.0128 memory: 17007 grad_norm: 6.4958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1137 loss: 2.1137 2022/07/27 18:40:17 - mmengine - INFO - Epoch(train) [61][1740/3757] lr: 7.5000e-03 eta: 2 days, 1:28:29 time: 0.3971 data_time: 0.0168 memory: 17007 grad_norm: 6.4336 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3185 loss: 2.3185 2022/07/27 18:40:25 - mmengine - INFO - Epoch(train) [61][1760/3757] lr: 7.5000e-03 eta: 2 days, 1:28:21 time: 0.3922 data_time: 0.0147 memory: 17007 grad_norm: 6.0114 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9351 loss: 1.9351 2022/07/27 18:40:33 - mmengine - INFO - Epoch(train) [61][1780/3757] lr: 7.5000e-03 eta: 2 days, 1:28:13 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 6.3557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1287 loss: 2.1287 2022/07/27 18:40:41 - mmengine - INFO - Epoch(train) [61][1800/3757] lr: 7.5000e-03 eta: 2 days, 1:28:05 time: 0.3911 data_time: 0.0126 memory: 17007 grad_norm: 6.6721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2337 loss: 2.2337 2022/07/27 18:40:49 - mmengine - INFO - Epoch(train) [61][1820/3757] lr: 7.5000e-03 eta: 2 days, 1:27:57 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 6.3851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9881 loss: 1.9881 2022/07/27 18:40:57 - mmengine - INFO - Epoch(train) [61][1840/3757] lr: 7.5000e-03 eta: 2 days, 1:27:49 time: 0.4003 data_time: 0.0164 memory: 17007 grad_norm: 6.5850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4991 loss: 2.4991 2022/07/27 18:41:05 - mmengine - INFO - Epoch(train) [61][1860/3757] lr: 7.5000e-03 eta: 2 days, 1:27:41 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.1970 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4542 loss: 2.4542 2022/07/27 18:41:13 - mmengine - INFO - Epoch(train) [61][1880/3757] lr: 7.5000e-03 eta: 2 days, 1:27:33 time: 0.3935 data_time: 0.0142 memory: 17007 grad_norm: 6.4332 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1598 loss: 2.1598 2022/07/27 18:41:20 - mmengine - INFO - Epoch(train) [61][1900/3757] lr: 7.5000e-03 eta: 2 days, 1:27:25 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.3672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0544 loss: 2.0544 2022/07/27 18:41:28 - mmengine - INFO - Epoch(train) [61][1920/3757] lr: 7.5000e-03 eta: 2 days, 1:27:17 time: 0.3904 data_time: 0.0131 memory: 17007 grad_norm: 6.2520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3999 loss: 2.3999 2022/07/27 18:41:36 - mmengine - INFO - Epoch(train) [61][1940/3757] lr: 7.5000e-03 eta: 2 days, 1:27:09 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 6.3159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2550 loss: 2.2550 2022/07/27 18:41:44 - mmengine - INFO - Epoch(train) [61][1960/3757] lr: 7.5000e-03 eta: 2 days, 1:27:01 time: 0.3923 data_time: 0.0137 memory: 17007 grad_norm: 6.3519 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2287 loss: 2.2287 2022/07/27 18:41:52 - mmengine - INFO - Epoch(train) [61][1980/3757] lr: 7.5000e-03 eta: 2 days, 1:26:53 time: 0.3934 data_time: 0.0164 memory: 17007 grad_norm: 6.2380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1709 loss: 2.1709 2022/07/27 18:42:00 - mmengine - INFO - Epoch(train) [61][2000/3757] lr: 7.5000e-03 eta: 2 days, 1:26:44 time: 0.3920 data_time: 0.0139 memory: 17007 grad_norm: 6.4878 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1535 loss: 2.1535 2022/07/27 18:42:08 - mmengine - INFO - Epoch(train) [61][2020/3757] lr: 7.5000e-03 eta: 2 days, 1:26:36 time: 0.3932 data_time: 0.0148 memory: 17007 grad_norm: 6.1164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2639 loss: 2.2639 2022/07/27 18:42:16 - mmengine - INFO - Epoch(train) [61][2040/3757] lr: 7.5000e-03 eta: 2 days, 1:26:28 time: 0.3956 data_time: 0.0140 memory: 17007 grad_norm: 6.4433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9218 loss: 1.9218 2022/07/27 18:42:23 - mmengine - INFO - Epoch(train) [61][2060/3757] lr: 7.5000e-03 eta: 2 days, 1:26:20 time: 0.3950 data_time: 0.0158 memory: 17007 grad_norm: 6.5001 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1247 loss: 2.1247 2022/07/27 18:42:31 - mmengine - INFO - Epoch(train) [61][2080/3757] lr: 7.5000e-03 eta: 2 days, 1:26:13 time: 0.3975 data_time: 0.0141 memory: 17007 grad_norm: 6.3778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2647 loss: 2.2647 2022/07/27 18:42:39 - mmengine - INFO - Epoch(train) [61][2100/3757] lr: 7.5000e-03 eta: 2 days, 1:26:04 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 6.4024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3253 loss: 2.3253 2022/07/27 18:42:47 - mmengine - INFO - Epoch(train) [61][2120/3757] lr: 7.5000e-03 eta: 2 days, 1:25:57 time: 0.3979 data_time: 0.0143 memory: 17007 grad_norm: 6.1419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9940 loss: 1.9940 2022/07/27 18:42:55 - mmengine - INFO - Epoch(train) [61][2140/3757] lr: 7.5000e-03 eta: 2 days, 1:25:49 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 6.3309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3481 loss: 2.3481 2022/07/27 18:43:03 - mmengine - INFO - Epoch(train) [61][2160/3757] lr: 7.5000e-03 eta: 2 days, 1:25:41 time: 0.3968 data_time: 0.0160 memory: 17007 grad_norm: 6.2022 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2270 loss: 2.2270 2022/07/27 18:43:11 - mmengine - INFO - Epoch(train) [61][2180/3757] lr: 7.5000e-03 eta: 2 days, 1:25:33 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 6.6132 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3375 loss: 2.3375 2022/07/27 18:43:19 - mmengine - INFO - Epoch(train) [61][2200/3757] lr: 7.5000e-03 eta: 2 days, 1:25:25 time: 0.3977 data_time: 0.0159 memory: 17007 grad_norm: 6.3399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2134 loss: 2.2134 2022/07/27 18:43:27 - mmengine - INFO - Epoch(train) [61][2220/3757] lr: 7.5000e-03 eta: 2 days, 1:25:17 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 6.3774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2697 loss: 2.2697 2022/07/27 18:43:35 - mmengine - INFO - Epoch(train) [61][2240/3757] lr: 7.5000e-03 eta: 2 days, 1:25:09 time: 0.3987 data_time: 0.0162 memory: 17007 grad_norm: 6.2293 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3777 loss: 2.3777 2022/07/27 18:43:43 - mmengine - INFO - Epoch(train) [61][2260/3757] lr: 7.5000e-03 eta: 2 days, 1:25:01 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 6.1973 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5564 loss: 2.5564 2022/07/27 18:43:51 - mmengine - INFO - Epoch(train) [61][2280/3757] lr: 7.5000e-03 eta: 2 days, 1:24:53 time: 0.3929 data_time: 0.0127 memory: 17007 grad_norm: 6.1977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4921 loss: 2.4921 2022/07/27 18:43:59 - mmengine - INFO - Epoch(train) [61][2300/3757] lr: 7.5000e-03 eta: 2 days, 1:24:45 time: 0.4035 data_time: 0.0168 memory: 17007 grad_norm: 6.2892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5098 loss: 2.5098 2022/07/27 18:44:06 - mmengine - INFO - Epoch(train) [61][2320/3757] lr: 7.5000e-03 eta: 2 days, 1:24:37 time: 0.3906 data_time: 0.0123 memory: 17007 grad_norm: 6.5793 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.4853 loss: 2.4853 2022/07/27 18:44:14 - mmengine - INFO - Epoch(train) [61][2340/3757] lr: 7.5000e-03 eta: 2 days, 1:24:29 time: 0.3995 data_time: 0.0168 memory: 17007 grad_norm: 6.2488 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3137 loss: 2.3137 2022/07/27 18:44:22 - mmengine - INFO - Epoch(train) [61][2360/3757] lr: 7.5000e-03 eta: 2 days, 1:24:21 time: 0.3950 data_time: 0.0150 memory: 17007 grad_norm: 6.3207 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7279 loss: 1.7279 2022/07/27 18:44:30 - mmengine - INFO - Epoch(train) [61][2380/3757] lr: 7.5000e-03 eta: 2 days, 1:24:13 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 6.3117 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4610 loss: 2.4610 2022/07/27 18:44:39 - mmengine - INFO - Epoch(train) [61][2400/3757] lr: 7.5000e-03 eta: 2 days, 1:24:06 time: 0.4132 data_time: 0.0146 memory: 17007 grad_norm: 6.3862 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5436 loss: 2.5436 2022/07/27 18:44:46 - mmengine - INFO - Epoch(train) [61][2420/3757] lr: 7.5000e-03 eta: 2 days, 1:23:58 time: 0.3948 data_time: 0.0155 memory: 17007 grad_norm: 6.1380 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2325 loss: 2.2325 2022/07/27 18:44:54 - mmengine - INFO - Epoch(train) [61][2440/3757] lr: 7.5000e-03 eta: 2 days, 1:23:50 time: 0.4018 data_time: 0.0160 memory: 17007 grad_norm: 6.4120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3365 loss: 2.3365 2022/07/27 18:45:02 - mmengine - INFO - Epoch(train) [61][2460/3757] lr: 7.5000e-03 eta: 2 days, 1:23:42 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 6.1937 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1043 loss: 2.1043 2022/07/27 18:45:10 - mmengine - INFO - Epoch(train) [61][2480/3757] lr: 7.5000e-03 eta: 2 days, 1:23:34 time: 0.3920 data_time: 0.0142 memory: 17007 grad_norm: 6.2936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5178 loss: 2.5178 2022/07/27 18:45:18 - mmengine - INFO - Epoch(train) [61][2500/3757] lr: 7.5000e-03 eta: 2 days, 1:23:26 time: 0.4020 data_time: 0.0165 memory: 17007 grad_norm: 6.0372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2048 loss: 2.2048 2022/07/27 18:45:26 - mmengine - INFO - Epoch(train) [61][2520/3757] lr: 7.5000e-03 eta: 2 days, 1:23:18 time: 0.3924 data_time: 0.0139 memory: 17007 grad_norm: 6.2918 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1007 loss: 2.1007 2022/07/27 18:45:34 - mmengine - INFO - Epoch(train) [61][2540/3757] lr: 7.5000e-03 eta: 2 days, 1:23:10 time: 0.3993 data_time: 0.0163 memory: 17007 grad_norm: 6.2983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4067 loss: 2.4067 2022/07/27 18:45:42 - mmengine - INFO - Epoch(train) [61][2560/3757] lr: 7.5000e-03 eta: 2 days, 1:23:02 time: 0.3967 data_time: 0.0161 memory: 17007 grad_norm: 6.3373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0203 loss: 2.0203 2022/07/27 18:45:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:45:50 - mmengine - INFO - Epoch(train) [61][2580/3757] lr: 7.5000e-03 eta: 2 days, 1:22:54 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.2775 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2795 loss: 2.2795 2022/07/27 18:45:58 - mmengine - INFO - Epoch(train) [61][2600/3757] lr: 7.5000e-03 eta: 2 days, 1:22:46 time: 0.3950 data_time: 0.0147 memory: 17007 grad_norm: 6.5104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0950 loss: 2.0950 2022/07/27 18:46:06 - mmengine - INFO - Epoch(train) [61][2620/3757] lr: 7.5000e-03 eta: 2 days, 1:22:38 time: 0.3978 data_time: 0.0188 memory: 17007 grad_norm: 6.2629 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4975 loss: 2.4975 2022/07/27 18:46:14 - mmengine - INFO - Epoch(train) [61][2640/3757] lr: 7.5000e-03 eta: 2 days, 1:22:30 time: 0.3929 data_time: 0.0145 memory: 17007 grad_norm: 6.2952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0589 loss: 2.0589 2022/07/27 18:46:22 - mmengine - INFO - Epoch(train) [61][2660/3757] lr: 7.5000e-03 eta: 2 days, 1:22:22 time: 0.3938 data_time: 0.0162 memory: 17007 grad_norm: 6.4659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2010 loss: 2.2010 2022/07/27 18:46:29 - mmengine - INFO - Epoch(train) [61][2680/3757] lr: 7.5000e-03 eta: 2 days, 1:22:14 time: 0.3941 data_time: 0.0139 memory: 17007 grad_norm: 6.2874 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9850 loss: 1.9850 2022/07/27 18:46:37 - mmengine - INFO - Epoch(train) [61][2700/3757] lr: 7.5000e-03 eta: 2 days, 1:22:06 time: 0.3956 data_time: 0.0155 memory: 17007 grad_norm: 6.2953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9513 loss: 1.9513 2022/07/27 18:46:46 - mmengine - INFO - Epoch(train) [61][2720/3757] lr: 7.5000e-03 eta: 2 days, 1:21:59 time: 0.4141 data_time: 0.0165 memory: 17007 grad_norm: 6.3328 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2874 loss: 2.2874 2022/07/27 18:46:54 - mmengine - INFO - Epoch(train) [61][2740/3757] lr: 7.5000e-03 eta: 2 days, 1:21:51 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 6.1802 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3239 loss: 2.3239 2022/07/27 18:47:01 - mmengine - INFO - Epoch(train) [61][2760/3757] lr: 7.5000e-03 eta: 2 days, 1:21:43 time: 0.3921 data_time: 0.0148 memory: 17007 grad_norm: 6.5356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5253 loss: 2.5253 2022/07/27 18:47:10 - mmengine - INFO - Epoch(train) [61][2780/3757] lr: 7.5000e-03 eta: 2 days, 1:21:35 time: 0.4068 data_time: 0.0220 memory: 17007 grad_norm: 6.3443 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1936 loss: 2.1936 2022/07/27 18:47:17 - mmengine - INFO - Epoch(train) [61][2800/3757] lr: 7.5000e-03 eta: 2 days, 1:21:27 time: 0.3929 data_time: 0.0139 memory: 17007 grad_norm: 6.3265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1486 loss: 2.1486 2022/07/27 18:47:26 - mmengine - INFO - Epoch(train) [61][2820/3757] lr: 7.5000e-03 eta: 2 days, 1:21:20 time: 0.4101 data_time: 0.0166 memory: 17007 grad_norm: 6.3068 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3822 loss: 2.3822 2022/07/27 18:47:33 - mmengine - INFO - Epoch(train) [61][2840/3757] lr: 7.5000e-03 eta: 2 days, 1:21:12 time: 0.3928 data_time: 0.0148 memory: 17007 grad_norm: 6.2629 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2659 loss: 2.2659 2022/07/27 18:47:41 - mmengine - INFO - Epoch(train) [61][2860/3757] lr: 7.5000e-03 eta: 2 days, 1:21:04 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 6.1237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1281 loss: 2.1281 2022/07/27 18:47:49 - mmengine - INFO - Epoch(train) [61][2880/3757] lr: 7.5000e-03 eta: 2 days, 1:20:56 time: 0.4008 data_time: 0.0146 memory: 17007 grad_norm: 6.4147 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1766 loss: 2.1766 2022/07/27 18:47:57 - mmengine - INFO - Epoch(train) [61][2900/3757] lr: 7.5000e-03 eta: 2 days, 1:20:48 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 6.1104 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2822 loss: 2.2822 2022/07/27 18:48:05 - mmengine - INFO - Epoch(train) [61][2920/3757] lr: 7.5000e-03 eta: 2 days, 1:20:40 time: 0.4032 data_time: 0.0145 memory: 17007 grad_norm: 6.4099 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3250 loss: 2.3250 2022/07/27 18:48:13 - mmengine - INFO - Epoch(train) [61][2940/3757] lr: 7.5000e-03 eta: 2 days, 1:20:32 time: 0.3947 data_time: 0.0159 memory: 17007 grad_norm: 6.2828 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4377 loss: 2.4377 2022/07/27 18:48:21 - mmengine - INFO - Epoch(train) [61][2960/3757] lr: 7.5000e-03 eta: 2 days, 1:20:24 time: 0.3921 data_time: 0.0126 memory: 17007 grad_norm: 6.3245 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2535 loss: 2.2535 2022/07/27 18:48:29 - mmengine - INFO - Epoch(train) [61][2980/3757] lr: 7.5000e-03 eta: 2 days, 1:20:17 time: 0.4212 data_time: 0.0162 memory: 17007 grad_norm: 6.1586 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0624 loss: 2.0624 2022/07/27 18:48:37 - mmengine - INFO - Epoch(train) [61][3000/3757] lr: 7.5000e-03 eta: 2 days, 1:20:09 time: 0.3984 data_time: 0.0139 memory: 17007 grad_norm: 6.2523 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3961 loss: 2.3961 2022/07/27 18:48:45 - mmengine - INFO - Epoch(train) [61][3020/3757] lr: 7.5000e-03 eta: 2 days, 1:20:01 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 6.1165 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4336 loss: 2.4336 2022/07/27 18:48:54 - mmengine - INFO - Epoch(train) [61][3040/3757] lr: 7.5000e-03 eta: 2 days, 1:19:54 time: 0.4088 data_time: 0.0171 memory: 17007 grad_norm: 6.4531 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4025 loss: 2.4025 2022/07/27 18:49:01 - mmengine - INFO - Epoch(train) [61][3060/3757] lr: 7.5000e-03 eta: 2 days, 1:19:46 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 6.3282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1025 loss: 2.1025 2022/07/27 18:49:09 - mmengine - INFO - Epoch(train) [61][3080/3757] lr: 7.5000e-03 eta: 2 days, 1:19:38 time: 0.3920 data_time: 0.0137 memory: 17007 grad_norm: 6.2025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2901 loss: 2.2901 2022/07/27 18:49:17 - mmengine - INFO - Epoch(train) [61][3100/3757] lr: 7.5000e-03 eta: 2 days, 1:19:30 time: 0.4001 data_time: 0.0169 memory: 17007 grad_norm: 6.4986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2467 loss: 2.2467 2022/07/27 18:49:25 - mmengine - INFO - Epoch(train) [61][3120/3757] lr: 7.5000e-03 eta: 2 days, 1:19:22 time: 0.3926 data_time: 0.0126 memory: 17007 grad_norm: 6.2204 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5116 loss: 2.5116 2022/07/27 18:49:33 - mmengine - INFO - Epoch(train) [61][3140/3757] lr: 7.5000e-03 eta: 2 days, 1:19:14 time: 0.4145 data_time: 0.0176 memory: 17007 grad_norm: 6.2957 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2155 loss: 2.2155 2022/07/27 18:49:41 - mmengine - INFO - Epoch(train) [61][3160/3757] lr: 7.5000e-03 eta: 2 days, 1:19:06 time: 0.3913 data_time: 0.0125 memory: 17007 grad_norm: 6.4347 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3917 loss: 2.3917 2022/07/27 18:49:49 - mmengine - INFO - Epoch(train) [61][3180/3757] lr: 7.5000e-03 eta: 2 days, 1:18:58 time: 0.3944 data_time: 0.0164 memory: 17007 grad_norm: 6.4380 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1853 loss: 2.1853 2022/07/27 18:49:57 - mmengine - INFO - Epoch(train) [61][3200/3757] lr: 7.5000e-03 eta: 2 days, 1:18:50 time: 0.3957 data_time: 0.0144 memory: 17007 grad_norm: 6.1544 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1510 loss: 2.1510 2022/07/27 18:50:05 - mmengine - INFO - Epoch(train) [61][3220/3757] lr: 7.5000e-03 eta: 2 days, 1:18:43 time: 0.4012 data_time: 0.0172 memory: 17007 grad_norm: 6.2217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0874 loss: 2.0874 2022/07/27 18:50:13 - mmengine - INFO - Epoch(train) [61][3240/3757] lr: 7.5000e-03 eta: 2 days, 1:18:35 time: 0.3938 data_time: 0.0139 memory: 17007 grad_norm: 6.2599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1834 loss: 2.1834 2022/07/27 18:50:21 - mmengine - INFO - Epoch(train) [61][3260/3757] lr: 7.5000e-03 eta: 2 days, 1:18:27 time: 0.3941 data_time: 0.0167 memory: 17007 grad_norm: 6.1891 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3059 loss: 2.3059 2022/07/27 18:50:29 - mmengine - INFO - Epoch(train) [61][3280/3757] lr: 7.5000e-03 eta: 2 days, 1:18:19 time: 0.3939 data_time: 0.0139 memory: 17007 grad_norm: 6.3422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0777 loss: 2.0777 2022/07/27 18:50:37 - mmengine - INFO - Epoch(train) [61][3300/3757] lr: 7.5000e-03 eta: 2 days, 1:18:10 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 6.3740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3211 loss: 2.3211 2022/07/27 18:50:45 - mmengine - INFO - Epoch(train) [61][3320/3757] lr: 7.5000e-03 eta: 2 days, 1:18:03 time: 0.3970 data_time: 0.0161 memory: 17007 grad_norm: 6.4893 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3830 loss: 2.3830 2022/07/27 18:50:52 - mmengine - INFO - Epoch(train) [61][3340/3757] lr: 7.5000e-03 eta: 2 days, 1:17:54 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 6.5305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4097 loss: 2.4097 2022/07/27 18:51:00 - mmengine - INFO - Epoch(train) [61][3360/3757] lr: 7.5000e-03 eta: 2 days, 1:17:46 time: 0.3910 data_time: 0.0140 memory: 17007 grad_norm: 6.2789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2155 loss: 2.2155 2022/07/27 18:51:09 - mmengine - INFO - Epoch(train) [61][3380/3757] lr: 7.5000e-03 eta: 2 days, 1:17:39 time: 0.4159 data_time: 0.0162 memory: 17007 grad_norm: 6.9748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1958 loss: 2.1958 2022/07/27 18:51:16 - mmengine - INFO - Epoch(train) [61][3400/3757] lr: 7.5000e-03 eta: 2 days, 1:17:31 time: 0.3912 data_time: 0.0124 memory: 17007 grad_norm: 6.3136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2539 loss: 2.2539 2022/07/27 18:51:25 - mmengine - INFO - Epoch(train) [61][3420/3757] lr: 7.5000e-03 eta: 2 days, 1:17:23 time: 0.4076 data_time: 0.0177 memory: 17007 grad_norm: 6.2809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0123 loss: 2.0123 2022/07/27 18:51:32 - mmengine - INFO - Epoch(train) [61][3440/3757] lr: 7.5000e-03 eta: 2 days, 1:17:15 time: 0.3913 data_time: 0.0129 memory: 17007 grad_norm: 6.1979 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4760 loss: 2.4760 2022/07/27 18:51:40 - mmengine - INFO - Epoch(train) [61][3460/3757] lr: 7.5000e-03 eta: 2 days, 1:17:07 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 6.1450 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1784 loss: 2.1784 2022/07/27 18:51:48 - mmengine - INFO - Epoch(train) [61][3480/3757] lr: 7.5000e-03 eta: 2 days, 1:17:00 time: 0.4023 data_time: 0.0150 memory: 17007 grad_norm: 6.2848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2907 loss: 2.2907 2022/07/27 18:51:56 - mmengine - INFO - Epoch(train) [61][3500/3757] lr: 7.5000e-03 eta: 2 days, 1:16:52 time: 0.3946 data_time: 0.0159 memory: 17007 grad_norm: 6.1623 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5068 loss: 2.5068 2022/07/27 18:52:04 - mmengine - INFO - Epoch(train) [61][3520/3757] lr: 7.5000e-03 eta: 2 days, 1:16:44 time: 0.4109 data_time: 0.0130 memory: 17007 grad_norm: 6.3017 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3011 loss: 2.3011 2022/07/27 18:52:12 - mmengine - INFO - Epoch(train) [61][3540/3757] lr: 7.5000e-03 eta: 2 days, 1:16:36 time: 0.3959 data_time: 0.0156 memory: 17007 grad_norm: 6.2219 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3542 loss: 2.3542 2022/07/27 18:52:20 - mmengine - INFO - Epoch(train) [61][3560/3757] lr: 7.5000e-03 eta: 2 days, 1:16:28 time: 0.3913 data_time: 0.0130 memory: 17007 grad_norm: 6.1543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1613 loss: 2.1613 2022/07/27 18:52:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:52:28 - mmengine - INFO - Epoch(train) [61][3580/3757] lr: 7.5000e-03 eta: 2 days, 1:16:20 time: 0.3994 data_time: 0.0163 memory: 17007 grad_norm: 6.6356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3895 loss: 2.3895 2022/07/27 18:52:36 - mmengine - INFO - Epoch(train) [61][3600/3757] lr: 7.5000e-03 eta: 2 days, 1:16:12 time: 0.3989 data_time: 0.0134 memory: 17007 grad_norm: 6.3343 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1816 loss: 2.1816 2022/07/27 18:52:44 - mmengine - INFO - Epoch(train) [61][3620/3757] lr: 7.5000e-03 eta: 2 days, 1:16:05 time: 0.3960 data_time: 0.0176 memory: 17007 grad_norm: 6.1658 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0778 loss: 2.0778 2022/07/27 18:52:52 - mmengine - INFO - Epoch(train) [61][3640/3757] lr: 7.5000e-03 eta: 2 days, 1:15:57 time: 0.3949 data_time: 0.0141 memory: 17007 grad_norm: 6.4439 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1349 loss: 2.1349 2022/07/27 18:53:00 - mmengine - INFO - Epoch(train) [61][3660/3757] lr: 7.5000e-03 eta: 2 days, 1:15:48 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 6.2063 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4398 loss: 2.4398 2022/07/27 18:53:08 - mmengine - INFO - Epoch(train) [61][3680/3757] lr: 7.5000e-03 eta: 2 days, 1:15:40 time: 0.3927 data_time: 0.0125 memory: 17007 grad_norm: 6.1429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8961 loss: 1.8961 2022/07/27 18:53:16 - mmengine - INFO - Epoch(train) [61][3700/3757] lr: 7.5000e-03 eta: 2 days, 1:15:33 time: 0.4179 data_time: 0.0182 memory: 17007 grad_norm: 5.9774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1348 loss: 2.1348 2022/07/27 18:53:24 - mmengine - INFO - Epoch(train) [61][3720/3757] lr: 7.5000e-03 eta: 2 days, 1:15:25 time: 0.3925 data_time: 0.0139 memory: 17007 grad_norm: 6.3326 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0847 loss: 2.0847 2022/07/27 18:53:32 - mmengine - INFO - Epoch(train) [61][3740/3757] lr: 7.5000e-03 eta: 2 days, 1:15:17 time: 0.3919 data_time: 0.0148 memory: 17007 grad_norm: 6.1388 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2595 loss: 2.2595 2022/07/27 18:53:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:53:39 - mmengine - INFO - Epoch(train) [61][3757/3757] lr: 7.5000e-03 eta: 2 days, 1:15:17 time: 0.4010 data_time: 0.0134 memory: 17007 grad_norm: 6.4858 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.1797 loss: 2.1797 2022/07/27 18:53:39 - mmengine - INFO - Saving checkpoint at 61 epochs 2022/07/27 18:53:50 - mmengine - INFO - Epoch(train) [62][20/3757] lr: 7.4240e-03 eta: 2 days, 1:14:51 time: 0.4497 data_time: 0.0732 memory: 17007 grad_norm: 6.3993 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3263 loss: 2.3263 2022/07/27 18:53:59 - mmengine - INFO - Epoch(train) [62][40/3757] lr: 7.4240e-03 eta: 2 days, 1:14:44 time: 0.4115 data_time: 0.0171 memory: 17007 grad_norm: 6.0711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2431 loss: 2.2431 2022/07/27 18:54:06 - mmengine - INFO - Epoch(train) [62][60/3757] lr: 7.4240e-03 eta: 2 days, 1:14:36 time: 0.3917 data_time: 0.0150 memory: 17007 grad_norm: 6.2680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2270 loss: 2.2270 2022/07/27 18:54:15 - mmengine - INFO - Epoch(train) [62][80/3757] lr: 7.4240e-03 eta: 2 days, 1:14:29 time: 0.4148 data_time: 0.0167 memory: 17007 grad_norm: 6.2778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1371 loss: 2.1371 2022/07/27 18:54:23 - mmengine - INFO - Epoch(train) [62][100/3757] lr: 7.4240e-03 eta: 2 days, 1:14:21 time: 0.3918 data_time: 0.0148 memory: 17007 grad_norm: 6.4837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1208 loss: 2.1208 2022/07/27 18:54:30 - mmengine - INFO - Epoch(train) [62][120/3757] lr: 7.4240e-03 eta: 2 days, 1:14:12 time: 0.3935 data_time: 0.0155 memory: 17007 grad_norm: 6.2931 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2076 loss: 2.2076 2022/07/27 18:54:39 - mmengine - INFO - Epoch(train) [62][140/3757] lr: 7.4240e-03 eta: 2 days, 1:14:05 time: 0.4070 data_time: 0.0166 memory: 17007 grad_norm: 6.3259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1911 loss: 2.1911 2022/07/27 18:54:46 - mmengine - INFO - Epoch(train) [62][160/3757] lr: 7.4240e-03 eta: 2 days, 1:13:57 time: 0.3916 data_time: 0.0152 memory: 17007 grad_norm: 6.0874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1134 loss: 2.1134 2022/07/27 18:54:55 - mmengine - INFO - Epoch(train) [62][180/3757] lr: 7.4240e-03 eta: 2 days, 1:13:50 time: 0.4247 data_time: 0.0159 memory: 17007 grad_norm: 6.0556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1567 loss: 2.1567 2022/07/27 18:55:03 - mmengine - INFO - Epoch(train) [62][200/3757] lr: 7.4240e-03 eta: 2 days, 1:13:42 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 5.9202 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4323 loss: 2.4323 2022/07/27 18:55:11 - mmengine - INFO - Epoch(train) [62][220/3757] lr: 7.4240e-03 eta: 2 days, 1:13:34 time: 0.3920 data_time: 0.0144 memory: 17007 grad_norm: 6.3323 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3748 loss: 2.3748 2022/07/27 18:55:19 - mmengine - INFO - Epoch(train) [62][240/3757] lr: 7.4240e-03 eta: 2 days, 1:13:26 time: 0.4008 data_time: 0.0198 memory: 17007 grad_norm: 6.2862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0101 loss: 2.0101 2022/07/27 18:55:27 - mmengine - INFO - Epoch(train) [62][260/3757] lr: 7.4240e-03 eta: 2 days, 1:13:18 time: 0.3944 data_time: 0.0143 memory: 17007 grad_norm: 6.2147 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2132 loss: 2.2132 2022/07/27 18:55:34 - mmengine - INFO - Epoch(train) [62][280/3757] lr: 7.4240e-03 eta: 2 days, 1:13:10 time: 0.3983 data_time: 0.0169 memory: 17007 grad_norm: 6.1818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9641 loss: 1.9641 2022/07/27 18:55:42 - mmengine - INFO - Epoch(train) [62][300/3757] lr: 7.4240e-03 eta: 2 days, 1:13:02 time: 0.3925 data_time: 0.0139 memory: 17007 grad_norm: 6.5432 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0837 loss: 2.0837 2022/07/27 18:55:51 - mmengine - INFO - Epoch(train) [62][320/3757] lr: 7.4240e-03 eta: 2 days, 1:12:55 time: 0.4200 data_time: 0.0155 memory: 17007 grad_norm: 6.4003 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4731 loss: 2.4731 2022/07/27 18:55:59 - mmengine - INFO - Epoch(train) [62][340/3757] lr: 7.4240e-03 eta: 2 days, 1:12:47 time: 0.4000 data_time: 0.0143 memory: 17007 grad_norm: 6.3471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3517 loss: 2.3517 2022/07/27 18:56:07 - mmengine - INFO - Epoch(train) [62][360/3757] lr: 7.4240e-03 eta: 2 days, 1:12:39 time: 0.3987 data_time: 0.0162 memory: 17007 grad_norm: 6.3051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1166 loss: 2.1166 2022/07/27 18:56:15 - mmengine - INFO - Epoch(train) [62][380/3757] lr: 7.4240e-03 eta: 2 days, 1:12:32 time: 0.3998 data_time: 0.0146 memory: 17007 grad_norm: 6.5666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3302 loss: 2.3302 2022/07/27 18:56:23 - mmengine - INFO - Epoch(train) [62][400/3757] lr: 7.4240e-03 eta: 2 days, 1:12:24 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 6.4476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1256 loss: 2.1256 2022/07/27 18:56:30 - mmengine - INFO - Epoch(train) [62][420/3757] lr: 7.4240e-03 eta: 2 days, 1:12:15 time: 0.3912 data_time: 0.0131 memory: 17007 grad_norm: 6.3844 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3232 loss: 2.3232 2022/07/27 18:56:39 - mmengine - INFO - Epoch(train) [62][440/3757] lr: 7.4240e-03 eta: 2 days, 1:12:08 time: 0.4022 data_time: 0.0160 memory: 17007 grad_norm: 6.3568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2178 loss: 2.2178 2022/07/27 18:56:46 - mmengine - INFO - Epoch(train) [62][460/3757] lr: 7.4240e-03 eta: 2 days, 1:12:00 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 6.4222 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3163 loss: 2.3163 2022/07/27 18:56:54 - mmengine - INFO - Epoch(train) [62][480/3757] lr: 7.4240e-03 eta: 2 days, 1:11:52 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 6.4156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2161 loss: 2.2161 2022/07/27 18:57:02 - mmengine - INFO - Epoch(train) [62][500/3757] lr: 7.4240e-03 eta: 2 days, 1:11:43 time: 0.3909 data_time: 0.0133 memory: 17007 grad_norm: 6.0101 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0871 loss: 2.0871 2022/07/27 18:57:10 - mmengine - INFO - Epoch(train) [62][520/3757] lr: 7.4240e-03 eta: 2 days, 1:11:35 time: 0.3949 data_time: 0.0163 memory: 17007 grad_norm: 6.2303 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8438 loss: 1.8438 2022/07/27 18:57:18 - mmengine - INFO - Epoch(train) [62][540/3757] lr: 7.4240e-03 eta: 2 days, 1:11:28 time: 0.4001 data_time: 0.0152 memory: 17007 grad_norm: 6.2297 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3016 loss: 2.3016 2022/07/27 18:57:26 - mmengine - INFO - Epoch(train) [62][560/3757] lr: 7.4240e-03 eta: 2 days, 1:11:20 time: 0.3964 data_time: 0.0170 memory: 17007 grad_norm: 6.2185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4676 loss: 2.4676 2022/07/27 18:57:34 - mmengine - INFO - Epoch(train) [62][580/3757] lr: 7.4240e-03 eta: 2 days, 1:11:12 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 6.1321 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1500 loss: 2.1500 2022/07/27 18:57:42 - mmengine - INFO - Epoch(train) [62][600/3757] lr: 7.4240e-03 eta: 2 days, 1:11:04 time: 0.3948 data_time: 0.0155 memory: 17007 grad_norm: 6.1617 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1354 loss: 2.1354 2022/07/27 18:57:50 - mmengine - INFO - Epoch(train) [62][620/3757] lr: 7.4240e-03 eta: 2 days, 1:10:56 time: 0.3916 data_time: 0.0132 memory: 17007 grad_norm: 6.4178 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0369 loss: 2.0369 2022/07/27 18:57:58 - mmengine - INFO - Epoch(train) [62][640/3757] lr: 7.4240e-03 eta: 2 days, 1:10:48 time: 0.4111 data_time: 0.0167 memory: 17007 grad_norm: 6.2193 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2171 loss: 2.2171 2022/07/27 18:58:06 - mmengine - INFO - Epoch(train) [62][660/3757] lr: 7.4240e-03 eta: 2 days, 1:10:40 time: 0.3917 data_time: 0.0136 memory: 17007 grad_norm: 6.1547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9872 loss: 1.9872 2022/07/27 18:58:14 - mmengine - INFO - Epoch(train) [62][680/3757] lr: 7.4240e-03 eta: 2 days, 1:10:32 time: 0.4011 data_time: 0.0173 memory: 17007 grad_norm: 6.2628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2148 loss: 2.2148 2022/07/27 18:58:22 - mmengine - INFO - Epoch(train) [62][700/3757] lr: 7.4240e-03 eta: 2 days, 1:10:24 time: 0.3921 data_time: 0.0142 memory: 17007 grad_norm: 6.5774 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2643 loss: 2.2643 2022/07/27 18:58:29 - mmengine - INFO - Epoch(train) [62][720/3757] lr: 7.4240e-03 eta: 2 days, 1:10:16 time: 0.3958 data_time: 0.0163 memory: 17007 grad_norm: 6.4884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3834 loss: 2.3834 2022/07/27 18:58:37 - mmengine - INFO - Epoch(train) [62][740/3757] lr: 7.4240e-03 eta: 2 days, 1:10:08 time: 0.3963 data_time: 0.0137 memory: 17007 grad_norm: 6.3063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6183 loss: 2.6183 2022/07/27 18:58:45 - mmengine - INFO - Epoch(train) [62][760/3757] lr: 7.4240e-03 eta: 2 days, 1:10:00 time: 0.3971 data_time: 0.0174 memory: 17007 grad_norm: 6.4674 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2246 loss: 2.2246 2022/07/27 18:58:53 - mmengine - INFO - Epoch(train) [62][780/3757] lr: 7.4240e-03 eta: 2 days, 1:09:52 time: 0.3921 data_time: 0.0148 memory: 17007 grad_norm: 6.4342 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1658 loss: 2.1658 2022/07/27 18:59:01 - mmengine - INFO - Epoch(train) [62][800/3757] lr: 7.4240e-03 eta: 2 days, 1:09:44 time: 0.3917 data_time: 0.0146 memory: 17007 grad_norm: 6.3898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1882 loss: 2.1882 2022/07/27 18:59:09 - mmengine - INFO - Epoch(train) [62][820/3757] lr: 7.4240e-03 eta: 2 days, 1:09:37 time: 0.4075 data_time: 0.0147 memory: 17007 grad_norm: 6.2763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1450 loss: 2.1450 2022/07/27 18:59:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 18:59:17 - mmengine - INFO - Epoch(train) [62][840/3757] lr: 7.4240e-03 eta: 2 days, 1:09:29 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 6.4818 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8021 loss: 1.8021 2022/07/27 18:59:25 - mmengine - INFO - Epoch(train) [62][860/3757] lr: 7.4240e-03 eta: 2 days, 1:09:21 time: 0.3981 data_time: 0.0147 memory: 17007 grad_norm: 6.3595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9978 loss: 1.9978 2022/07/27 18:59:33 - mmengine - INFO - Epoch(train) [62][880/3757] lr: 7.4240e-03 eta: 2 days, 1:09:13 time: 0.3916 data_time: 0.0147 memory: 17007 grad_norm: 6.2081 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3692 loss: 2.3692 2022/07/27 18:59:41 - mmengine - INFO - Epoch(train) [62][900/3757] lr: 7.4240e-03 eta: 2 days, 1:09:05 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.3366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0503 loss: 2.0503 2022/07/27 18:59:49 - mmengine - INFO - Epoch(train) [62][920/3757] lr: 7.4240e-03 eta: 2 days, 1:08:57 time: 0.3992 data_time: 0.0169 memory: 17007 grad_norm: 6.3031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1694 loss: 2.1694 2022/07/27 18:59:57 - mmengine - INFO - Epoch(train) [62][940/3757] lr: 7.4240e-03 eta: 2 days, 1:08:49 time: 0.3920 data_time: 0.0140 memory: 17007 grad_norm: 6.4178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0484 loss: 2.0484 2022/07/27 19:00:05 - mmengine - INFO - Epoch(train) [62][960/3757] lr: 7.4240e-03 eta: 2 days, 1:08:41 time: 0.3985 data_time: 0.0168 memory: 17007 grad_norm: 6.1064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3267 loss: 2.3267 2022/07/27 19:00:12 - mmengine - INFO - Epoch(train) [62][980/3757] lr: 7.4240e-03 eta: 2 days, 1:08:33 time: 0.3918 data_time: 0.0137 memory: 17007 grad_norm: 6.4833 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3901 loss: 2.3901 2022/07/27 19:00:20 - mmengine - INFO - Epoch(train) [62][1000/3757] lr: 7.4240e-03 eta: 2 days, 1:08:25 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 6.4925 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4265 loss: 2.4265 2022/07/27 19:00:28 - mmengine - INFO - Epoch(train) [62][1020/3757] lr: 7.4240e-03 eta: 2 days, 1:08:17 time: 0.4086 data_time: 0.0154 memory: 17007 grad_norm: 6.1179 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1923 loss: 2.1923 2022/07/27 19:00:36 - mmengine - INFO - Epoch(train) [62][1040/3757] lr: 7.4240e-03 eta: 2 days, 1:08:09 time: 0.3936 data_time: 0.0157 memory: 17007 grad_norm: 6.2269 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0142 loss: 2.0142 2022/07/27 19:00:45 - mmengine - INFO - Epoch(train) [62][1060/3757] lr: 7.4240e-03 eta: 2 days, 1:08:02 time: 0.4156 data_time: 0.0162 memory: 17007 grad_norm: 6.2926 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2471 loss: 2.2471 2022/07/27 19:00:53 - mmengine - INFO - Epoch(train) [62][1080/3757] lr: 7.4240e-03 eta: 2 days, 1:07:54 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 6.1833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8616 loss: 1.8616 2022/07/27 19:01:00 - mmengine - INFO - Epoch(train) [62][1100/3757] lr: 7.4240e-03 eta: 2 days, 1:07:46 time: 0.3905 data_time: 0.0120 memory: 17007 grad_norm: 6.4597 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6078 loss: 2.6078 2022/07/27 19:01:08 - mmengine - INFO - Epoch(train) [62][1120/3757] lr: 7.4240e-03 eta: 2 days, 1:07:38 time: 0.4033 data_time: 0.0173 memory: 17007 grad_norm: 6.3384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0735 loss: 2.0735 2022/07/27 19:01:16 - mmengine - INFO - Epoch(train) [62][1140/3757] lr: 7.4240e-03 eta: 2 days, 1:07:30 time: 0.3928 data_time: 0.0142 memory: 17007 grad_norm: 6.3712 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1385 loss: 2.1385 2022/07/27 19:01:25 - mmengine - INFO - Epoch(train) [62][1160/3757] lr: 7.4240e-03 eta: 2 days, 1:07:23 time: 0.4230 data_time: 0.0166 memory: 17007 grad_norm: 6.2803 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3192 loss: 2.3192 2022/07/27 19:01:33 - mmengine - INFO - Epoch(train) [62][1180/3757] lr: 7.4240e-03 eta: 2 days, 1:07:15 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 6.4931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4235 loss: 2.4235 2022/07/27 19:01:40 - mmengine - INFO - Epoch(train) [62][1200/3757] lr: 7.4240e-03 eta: 2 days, 1:07:07 time: 0.3922 data_time: 0.0149 memory: 17007 grad_norm: 6.1770 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8708 loss: 1.8708 2022/07/27 19:01:48 - mmengine - INFO - Epoch(train) [62][1220/3757] lr: 7.4240e-03 eta: 2 days, 1:06:59 time: 0.3961 data_time: 0.0149 memory: 17007 grad_norm: 6.2469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2498 loss: 2.2498 2022/07/27 19:01:56 - mmengine - INFO - Epoch(train) [62][1240/3757] lr: 7.4240e-03 eta: 2 days, 1:06:51 time: 0.3990 data_time: 0.0183 memory: 17007 grad_norm: 6.4376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2138 loss: 2.2138 2022/07/27 19:02:04 - mmengine - INFO - Epoch(train) [62][1260/3757] lr: 7.4240e-03 eta: 2 days, 1:06:43 time: 0.3933 data_time: 0.0140 memory: 17007 grad_norm: 6.6060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5912 loss: 2.5912 2022/07/27 19:02:12 - mmengine - INFO - Epoch(train) [62][1280/3757] lr: 7.4240e-03 eta: 2 days, 1:06:35 time: 0.3919 data_time: 0.0150 memory: 17007 grad_norm: 6.3246 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0577 loss: 2.0577 2022/07/27 19:02:20 - mmengine - INFO - Epoch(train) [62][1300/3757] lr: 7.4240e-03 eta: 2 days, 1:06:27 time: 0.4020 data_time: 0.0156 memory: 17007 grad_norm: 6.3146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0178 loss: 2.0178 2022/07/27 19:02:28 - mmengine - INFO - Epoch(train) [62][1320/3757] lr: 7.4240e-03 eta: 2 days, 1:06:19 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 6.1478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8883 loss: 1.8883 2022/07/27 19:02:36 - mmengine - INFO - Epoch(train) [62][1340/3757] lr: 7.4240e-03 eta: 2 days, 1:06:11 time: 0.3991 data_time: 0.0160 memory: 17007 grad_norm: 6.2377 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0128 loss: 2.0128 2022/07/27 19:02:44 - mmengine - INFO - Epoch(train) [62][1360/3757] lr: 7.4240e-03 eta: 2 days, 1:06:03 time: 0.3973 data_time: 0.0166 memory: 17007 grad_norm: 6.5339 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2801 loss: 2.2801 2022/07/27 19:02:52 - mmengine - INFO - Epoch(train) [62][1380/3757] lr: 7.4240e-03 eta: 2 days, 1:05:55 time: 0.3928 data_time: 0.0142 memory: 17007 grad_norm: 6.2548 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2855 loss: 2.2855 2022/07/27 19:03:00 - mmengine - INFO - Epoch(train) [62][1400/3757] lr: 7.4240e-03 eta: 2 days, 1:05:47 time: 0.3931 data_time: 0.0143 memory: 17007 grad_norm: 6.5721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2203 loss: 2.2203 2022/07/27 19:03:08 - mmengine - INFO - Epoch(train) [62][1420/3757] lr: 7.4240e-03 eta: 2 days, 1:05:40 time: 0.4057 data_time: 0.0147 memory: 17007 grad_norm: 6.5340 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5380 loss: 2.5380 2022/07/27 19:03:16 - mmengine - INFO - Epoch(train) [62][1440/3757] lr: 7.4240e-03 eta: 2 days, 1:05:32 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 6.5717 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3795 loss: 2.3795 2022/07/27 19:03:24 - mmengine - INFO - Epoch(train) [62][1460/3757] lr: 7.4240e-03 eta: 2 days, 1:05:24 time: 0.4046 data_time: 0.0163 memory: 17007 grad_norm: 6.2820 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1318 loss: 2.1318 2022/07/27 19:03:32 - mmengine - INFO - Epoch(train) [62][1480/3757] lr: 7.4240e-03 eta: 2 days, 1:05:16 time: 0.3944 data_time: 0.0171 memory: 17007 grad_norm: 6.3223 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0813 loss: 2.0813 2022/07/27 19:03:40 - mmengine - INFO - Epoch(train) [62][1500/3757] lr: 7.4240e-03 eta: 2 days, 1:05:08 time: 0.3909 data_time: 0.0131 memory: 17007 grad_norm: 6.3663 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2350 loss: 2.2350 2022/07/27 19:03:48 - mmengine - INFO - Epoch(train) [62][1520/3757] lr: 7.4240e-03 eta: 2 days, 1:05:00 time: 0.4072 data_time: 0.0168 memory: 17007 grad_norm: 6.2203 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1612 loss: 2.1612 2022/07/27 19:03:56 - mmengine - INFO - Epoch(train) [62][1540/3757] lr: 7.4240e-03 eta: 2 days, 1:04:52 time: 0.3927 data_time: 0.0131 memory: 17007 grad_norm: 6.2394 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5427 loss: 2.5427 2022/07/27 19:04:03 - mmengine - INFO - Epoch(train) [62][1560/3757] lr: 7.4240e-03 eta: 2 days, 1:04:44 time: 0.3959 data_time: 0.0154 memory: 17007 grad_norm: 6.2151 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5198 loss: 2.5198 2022/07/27 19:04:11 - mmengine - INFO - Epoch(train) [62][1580/3757] lr: 7.4240e-03 eta: 2 days, 1:04:36 time: 0.3933 data_time: 0.0132 memory: 17007 grad_norm: 6.1389 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1626 loss: 2.1626 2022/07/27 19:04:19 - mmengine - INFO - Epoch(train) [62][1600/3757] lr: 7.4240e-03 eta: 2 days, 1:04:28 time: 0.3952 data_time: 0.0159 memory: 17007 grad_norm: 6.1991 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2926 loss: 2.2926 2022/07/27 19:04:27 - mmengine - INFO - Epoch(train) [62][1620/3757] lr: 7.4240e-03 eta: 2 days, 1:04:20 time: 0.3957 data_time: 0.0132 memory: 17007 grad_norm: 6.4016 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3749 loss: 2.3749 2022/07/27 19:04:35 - mmengine - INFO - Epoch(train) [62][1640/3757] lr: 7.4240e-03 eta: 2 days, 1:04:12 time: 0.3968 data_time: 0.0163 memory: 17007 grad_norm: 6.1251 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1729 loss: 2.1729 2022/07/27 19:04:43 - mmengine - INFO - Epoch(train) [62][1660/3757] lr: 7.4240e-03 eta: 2 days, 1:04:04 time: 0.3913 data_time: 0.0133 memory: 17007 grad_norm: 6.2926 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0689 loss: 2.0689 2022/07/27 19:04:51 - mmengine - INFO - Epoch(train) [62][1680/3757] lr: 7.4240e-03 eta: 2 days, 1:03:56 time: 0.3961 data_time: 0.0151 memory: 17007 grad_norm: 6.1339 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2291 loss: 2.2291 2022/07/27 19:04:59 - mmengine - INFO - Epoch(train) [62][1700/3757] lr: 7.4240e-03 eta: 2 days, 1:03:48 time: 0.3969 data_time: 0.0180 memory: 17007 grad_norm: 6.2525 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2448 loss: 2.2448 2022/07/27 19:05:07 - mmengine - INFO - Epoch(train) [62][1720/3757] lr: 7.4240e-03 eta: 2 days, 1:03:41 time: 0.4061 data_time: 0.0157 memory: 17007 grad_norm: 6.3754 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1661 loss: 2.1661 2022/07/27 19:05:15 - mmengine - INFO - Epoch(train) [62][1740/3757] lr: 7.4240e-03 eta: 2 days, 1:03:33 time: 0.4005 data_time: 0.0168 memory: 17007 grad_norm: 6.2805 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6740 loss: 2.6740 2022/07/27 19:05:23 - mmengine - INFO - Epoch(train) [62][1760/3757] lr: 7.4240e-03 eta: 2 days, 1:03:25 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 6.3914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3388 loss: 2.3388 2022/07/27 19:05:31 - mmengine - INFO - Epoch(train) [62][1780/3757] lr: 7.4240e-03 eta: 2 days, 1:03:17 time: 0.4070 data_time: 0.0139 memory: 17007 grad_norm: 6.5370 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0596 loss: 2.0596 2022/07/27 19:05:39 - mmengine - INFO - Epoch(train) [62][1800/3757] lr: 7.4240e-03 eta: 2 days, 1:03:10 time: 0.4015 data_time: 0.0156 memory: 17007 grad_norm: 6.4887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4115 loss: 2.4115 2022/07/27 19:05:47 - mmengine - INFO - Epoch(train) [62][1820/3757] lr: 7.4240e-03 eta: 2 days, 1:03:02 time: 0.3975 data_time: 0.0130 memory: 17007 grad_norm: 6.5682 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6304 loss: 2.6304 2022/07/27 19:05:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:05:55 - mmengine - INFO - Epoch(train) [62][1840/3757] lr: 7.4240e-03 eta: 2 days, 1:02:54 time: 0.4078 data_time: 0.0176 memory: 17007 grad_norm: 6.3422 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0058 loss: 2.0058 2022/07/27 19:06:03 - mmengine - INFO - Epoch(train) [62][1860/3757] lr: 7.4240e-03 eta: 2 days, 1:02:46 time: 0.3923 data_time: 0.0134 memory: 17007 grad_norm: 6.2844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0019 loss: 2.0019 2022/07/27 19:06:11 - mmengine - INFO - Epoch(train) [62][1880/3757] lr: 7.4240e-03 eta: 2 days, 1:02:38 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 6.3520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1695 loss: 2.1695 2022/07/27 19:06:19 - mmengine - INFO - Epoch(train) [62][1900/3757] lr: 7.4240e-03 eta: 2 days, 1:02:30 time: 0.4004 data_time: 0.0160 memory: 17007 grad_norm: 6.5467 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1116 loss: 2.1116 2022/07/27 19:06:27 - mmengine - INFO - Epoch(train) [62][1920/3757] lr: 7.4240e-03 eta: 2 days, 1:02:22 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 6.1936 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1958 loss: 2.1958 2022/07/27 19:06:35 - mmengine - INFO - Epoch(train) [62][1940/3757] lr: 7.4240e-03 eta: 2 days, 1:02:15 time: 0.4158 data_time: 0.0165 memory: 17007 grad_norm: 6.3610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4671 loss: 2.4671 2022/07/27 19:06:43 - mmengine - INFO - Epoch(train) [62][1960/3757] lr: 7.4240e-03 eta: 2 days, 1:02:07 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 6.2485 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3626 loss: 2.3626 2022/07/27 19:06:51 - mmengine - INFO - Epoch(train) [62][1980/3757] lr: 7.4240e-03 eta: 2 days, 1:01:59 time: 0.3913 data_time: 0.0131 memory: 17007 grad_norm: 6.4085 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4606 loss: 2.4606 2022/07/27 19:06:59 - mmengine - INFO - Epoch(train) [62][2000/3757] lr: 7.4240e-03 eta: 2 days, 1:01:52 time: 0.4157 data_time: 0.0166 memory: 17007 grad_norm: 6.2418 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5956 loss: 2.5956 2022/07/27 19:07:07 - mmengine - INFO - Epoch(train) [62][2020/3757] lr: 7.4240e-03 eta: 2 days, 1:01:44 time: 0.3960 data_time: 0.0149 memory: 17007 grad_norm: 6.3347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5186 loss: 2.5186 2022/07/27 19:07:15 - mmengine - INFO - Epoch(train) [62][2040/3757] lr: 7.4240e-03 eta: 2 days, 1:01:36 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 6.2690 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0591 loss: 2.0591 2022/07/27 19:07:23 - mmengine - INFO - Epoch(train) [62][2060/3757] lr: 7.4240e-03 eta: 2 days, 1:01:28 time: 0.3913 data_time: 0.0142 memory: 17007 grad_norm: 6.2937 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5276 loss: 2.5276 2022/07/27 19:07:31 - mmengine - INFO - Epoch(train) [62][2080/3757] lr: 7.4240e-03 eta: 2 days, 1:01:20 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 6.4880 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4554 loss: 2.4554 2022/07/27 19:07:38 - mmengine - INFO - Epoch(train) [62][2100/3757] lr: 7.4240e-03 eta: 2 days, 1:01:11 time: 0.3909 data_time: 0.0162 memory: 17007 grad_norm: 6.4912 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3123 loss: 2.3123 2022/07/27 19:07:49 - mmengine - INFO - Epoch(train) [62][2120/3757] lr: 7.4240e-03 eta: 2 days, 1:01:09 time: 0.5281 data_time: 0.0136 memory: 17007 grad_norm: 6.1156 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1577 loss: 2.1577 2022/07/27 19:08:00 - mmengine - INFO - Epoch(train) [62][2140/3757] lr: 7.4240e-03 eta: 2 days, 1:01:06 time: 0.5375 data_time: 0.0155 memory: 17007 grad_norm: 6.5110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4316 loss: 2.4316 2022/07/27 19:08:10 - mmengine - INFO - Epoch(train) [62][2160/3757] lr: 7.4240e-03 eta: 2 days, 1:01:02 time: 0.4974 data_time: 0.0434 memory: 17007 grad_norm: 6.3203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3178 loss: 2.3178 2022/07/27 19:08:23 - mmengine - INFO - Epoch(train) [62][2180/3757] lr: 7.4240e-03 eta: 2 days, 1:01:03 time: 0.6409 data_time: 0.0149 memory: 17007 grad_norm: 6.2214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2683 loss: 2.2683 2022/07/27 19:08:30 - mmengine - INFO - Epoch(train) [62][2200/3757] lr: 7.4240e-03 eta: 2 days, 1:00:55 time: 0.3907 data_time: 0.0161 memory: 17007 grad_norm: 6.5249 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2426 loss: 2.2426 2022/07/27 19:08:38 - mmengine - INFO - Epoch(train) [62][2220/3757] lr: 7.4240e-03 eta: 2 days, 1:00:47 time: 0.4004 data_time: 0.0149 memory: 17007 grad_norm: 6.1951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4790 loss: 2.4790 2022/07/27 19:08:48 - mmengine - INFO - Epoch(train) [62][2240/3757] lr: 7.4240e-03 eta: 2 days, 1:00:42 time: 0.4571 data_time: 0.0171 memory: 17007 grad_norm: 6.3716 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5874 loss: 2.5874 2022/07/27 19:08:56 - mmengine - INFO - Epoch(train) [62][2260/3757] lr: 7.4240e-03 eta: 2 days, 1:00:34 time: 0.4002 data_time: 0.0154 memory: 17007 grad_norm: 6.4593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2727 loss: 2.2727 2022/07/27 19:09:03 - mmengine - INFO - Epoch(train) [62][2280/3757] lr: 7.4240e-03 eta: 2 days, 1:00:26 time: 0.3927 data_time: 0.0164 memory: 17007 grad_norm: 6.2375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1881 loss: 2.1881 2022/07/27 19:09:11 - mmengine - INFO - Epoch(train) [62][2300/3757] lr: 7.4240e-03 eta: 2 days, 1:00:18 time: 0.3912 data_time: 0.0130 memory: 17007 grad_norm: 6.4042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2227 loss: 2.2227 2022/07/27 19:09:20 - mmengine - INFO - Epoch(train) [62][2320/3757] lr: 7.4240e-03 eta: 2 days, 1:00:11 time: 0.4168 data_time: 0.0188 memory: 17007 grad_norm: 6.5534 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4174 loss: 2.4174 2022/07/27 19:09:27 - mmengine - INFO - Epoch(train) [62][2340/3757] lr: 7.4240e-03 eta: 2 days, 1:00:03 time: 0.3922 data_time: 0.0139 memory: 17007 grad_norm: 6.5007 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.2433 loss: 2.2433 2022/07/27 19:09:35 - mmengine - INFO - Epoch(train) [62][2360/3757] lr: 7.4240e-03 eta: 2 days, 0:59:55 time: 0.4003 data_time: 0.0178 memory: 17007 grad_norm: 6.2276 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1834 loss: 2.1834 2022/07/27 19:09:43 - mmengine - INFO - Epoch(train) [62][2380/3757] lr: 7.4240e-03 eta: 2 days, 0:59:47 time: 0.3922 data_time: 0.0135 memory: 17007 grad_norm: 6.2680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3396 loss: 2.3396 2022/07/27 19:09:51 - mmengine - INFO - Epoch(train) [62][2400/3757] lr: 7.4240e-03 eta: 2 days, 0:59:39 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 6.1473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5272 loss: 2.5272 2022/07/27 19:09:59 - mmengine - INFO - Epoch(train) [62][2420/3757] lr: 7.4240e-03 eta: 2 days, 0:59:31 time: 0.3954 data_time: 0.0141 memory: 17007 grad_norm: 6.1086 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3636 loss: 2.3636 2022/07/27 19:10:07 - mmengine - INFO - Epoch(train) [62][2440/3757] lr: 7.4240e-03 eta: 2 days, 0:59:23 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 6.3512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3229 loss: 2.3229 2022/07/27 19:10:15 - mmengine - INFO - Epoch(train) [62][2460/3757] lr: 7.4240e-03 eta: 2 days, 0:59:15 time: 0.4000 data_time: 0.0181 memory: 17007 grad_norm: 6.4913 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2519 loss: 2.2519 2022/07/27 19:10:23 - mmengine - INFO - Epoch(train) [62][2480/3757] lr: 7.4240e-03 eta: 2 days, 0:59:07 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 6.5424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2557 loss: 2.2557 2022/07/27 19:10:31 - mmengine - INFO - Epoch(train) [62][2500/3757] lr: 7.4240e-03 eta: 2 days, 0:58:59 time: 0.3921 data_time: 0.0128 memory: 17007 grad_norm: 6.5040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6393 loss: 2.6393 2022/07/27 19:10:39 - mmengine - INFO - Epoch(train) [62][2520/3757] lr: 7.4240e-03 eta: 2 days, 0:58:51 time: 0.3973 data_time: 0.0180 memory: 17007 grad_norm: 6.4958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3355 loss: 2.3355 2022/07/27 19:10:46 - mmengine - INFO - Epoch(train) [62][2540/3757] lr: 7.4240e-03 eta: 2 days, 0:58:42 time: 0.3911 data_time: 0.0124 memory: 17007 grad_norm: 6.3109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7658 loss: 1.7658 2022/07/27 19:10:55 - mmengine - INFO - Epoch(train) [62][2560/3757] lr: 7.4240e-03 eta: 2 days, 0:58:35 time: 0.4093 data_time: 0.0172 memory: 17007 grad_norm: 6.2453 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2504 loss: 2.2504 2022/07/27 19:11:02 - mmengine - INFO - Epoch(train) [62][2580/3757] lr: 7.4240e-03 eta: 2 days, 0:58:27 time: 0.3915 data_time: 0.0126 memory: 17007 grad_norm: 6.3748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9996 loss: 1.9996 2022/07/27 19:11:10 - mmengine - INFO - Epoch(train) [62][2600/3757] lr: 7.4240e-03 eta: 2 days, 0:58:19 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 6.4368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1987 loss: 2.1987 2022/07/27 19:11:19 - mmengine - INFO - Epoch(train) [62][2620/3757] lr: 7.4240e-03 eta: 2 days, 0:58:11 time: 0.4111 data_time: 0.0153 memory: 17007 grad_norm: 6.3152 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2369 loss: 2.2369 2022/07/27 19:11:26 - mmengine - INFO - Epoch(train) [62][2640/3757] lr: 7.4240e-03 eta: 2 days, 0:58:03 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 6.4341 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3297 loss: 2.3297 2022/07/27 19:11:35 - mmengine - INFO - Epoch(train) [62][2660/3757] lr: 7.4240e-03 eta: 2 days, 0:57:56 time: 0.4127 data_time: 0.0168 memory: 17007 grad_norm: 6.3681 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2826 loss: 2.2826 2022/07/27 19:11:43 - mmengine - INFO - Epoch(train) [62][2680/3757] lr: 7.4240e-03 eta: 2 days, 0:57:48 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 6.3872 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3544 loss: 2.3544 2022/07/27 19:11:50 - mmengine - INFO - Epoch(train) [62][2700/3757] lr: 7.4240e-03 eta: 2 days, 0:57:40 time: 0.3910 data_time: 0.0135 memory: 17007 grad_norm: 6.4006 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9750 loss: 1.9750 2022/07/27 19:11:59 - mmengine - INFO - Epoch(train) [62][2720/3757] lr: 7.4240e-03 eta: 2 days, 0:57:33 time: 0.4146 data_time: 0.0173 memory: 17007 grad_norm: 6.1103 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2404 loss: 2.2404 2022/07/27 19:12:07 - mmengine - INFO - Epoch(train) [62][2740/3757] lr: 7.4240e-03 eta: 2 days, 0:57:24 time: 0.3920 data_time: 0.0133 memory: 17007 grad_norm: 6.2520 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0185 loss: 2.0185 2022/07/27 19:12:15 - mmengine - INFO - Epoch(train) [62][2760/3757] lr: 7.4240e-03 eta: 2 days, 0:57:18 time: 0.4367 data_time: 0.0183 memory: 17007 grad_norm: 6.4799 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2768 loss: 2.2768 2022/07/27 19:12:23 - mmengine - INFO - Epoch(train) [62][2780/3757] lr: 7.4240e-03 eta: 2 days, 0:57:10 time: 0.3925 data_time: 0.0140 memory: 17007 grad_norm: 6.3385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5608 loss: 2.5608 2022/07/27 19:12:31 - mmengine - INFO - Epoch(train) [62][2800/3757] lr: 7.4240e-03 eta: 2 days, 0:57:02 time: 0.3950 data_time: 0.0173 memory: 17007 grad_norm: 6.0444 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2827 loss: 2.2827 2022/07/27 19:12:40 - mmengine - INFO - Epoch(train) [62][2820/3757] lr: 7.4240e-03 eta: 2 days, 0:56:55 time: 0.4272 data_time: 0.0149 memory: 17007 grad_norm: 6.2892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2321 loss: 2.2321 2022/07/27 19:12:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:12:47 - mmengine - INFO - Epoch(train) [62][2840/3757] lr: 7.4240e-03 eta: 2 days, 0:56:47 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.2449 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1648 loss: 2.1648 2022/07/27 19:12:55 - mmengine - INFO - Epoch(train) [62][2860/3757] lr: 7.4240e-03 eta: 2 days, 0:56:39 time: 0.3996 data_time: 0.0140 memory: 17007 grad_norm: 6.4386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3885 loss: 2.3885 2022/07/27 19:13:03 - mmengine - INFO - Epoch(train) [62][2880/3757] lr: 7.4240e-03 eta: 2 days, 0:56:31 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 6.3544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3245 loss: 2.3245 2022/07/27 19:13:11 - mmengine - INFO - Epoch(train) [62][2900/3757] lr: 7.4240e-03 eta: 2 days, 0:56:23 time: 0.3911 data_time: 0.0119 memory: 17007 grad_norm: 7.6694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2374 loss: 2.2374 2022/07/27 19:13:19 - mmengine - INFO - Epoch(train) [62][2920/3757] lr: 7.4240e-03 eta: 2 days, 0:56:16 time: 0.4120 data_time: 0.0183 memory: 17007 grad_norm: 6.6294 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3100 loss: 2.3100 2022/07/27 19:13:27 - mmengine - INFO - Epoch(train) [62][2940/3757] lr: 7.4240e-03 eta: 2 days, 0:56:08 time: 0.3925 data_time: 0.0129 memory: 17007 grad_norm: 6.3436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2221 loss: 2.2221 2022/07/27 19:13:35 - mmengine - INFO - Epoch(train) [62][2960/3757] lr: 7.4240e-03 eta: 2 days, 0:56:00 time: 0.4017 data_time: 0.0184 memory: 17007 grad_norm: 6.2552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3954 loss: 2.3954 2022/07/27 19:13:43 - mmengine - INFO - Epoch(train) [62][2980/3757] lr: 7.4240e-03 eta: 2 days, 0:55:52 time: 0.3918 data_time: 0.0130 memory: 17007 grad_norm: 6.2602 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0799 loss: 2.0799 2022/07/27 19:13:51 - mmengine - INFO - Epoch(train) [62][3000/3757] lr: 7.4240e-03 eta: 2 days, 0:55:44 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 6.1334 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0823 loss: 2.0823 2022/07/27 19:13:59 - mmengine - INFO - Epoch(train) [62][3020/3757] lr: 7.4240e-03 eta: 2 days, 0:55:36 time: 0.3980 data_time: 0.0172 memory: 17007 grad_norm: 6.5972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2128 loss: 2.2128 2022/07/27 19:14:07 - mmengine - INFO - Epoch(train) [62][3040/3757] lr: 7.4240e-03 eta: 2 days, 0:55:28 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 6.3509 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.5213 loss: 2.5213 2022/07/27 19:14:15 - mmengine - INFO - Epoch(train) [62][3060/3757] lr: 7.4240e-03 eta: 2 days, 0:55:20 time: 0.4029 data_time: 0.0169 memory: 17007 grad_norm: 6.2325 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9134 loss: 1.9134 2022/07/27 19:14:23 - mmengine - INFO - Epoch(train) [62][3080/3757] lr: 7.4240e-03 eta: 2 days, 0:55:12 time: 0.3935 data_time: 0.0161 memory: 17007 grad_norm: 6.5509 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4719 loss: 2.4719 2022/07/27 19:14:31 - mmengine - INFO - Epoch(train) [62][3100/3757] lr: 7.4240e-03 eta: 2 days, 0:55:04 time: 0.3912 data_time: 0.0127 memory: 17007 grad_norm: 6.2037 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0621 loss: 2.0621 2022/07/27 19:14:39 - mmengine - INFO - Epoch(train) [62][3120/3757] lr: 7.4240e-03 eta: 2 days, 0:54:56 time: 0.3971 data_time: 0.0176 memory: 17007 grad_norm: 6.3897 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3135 loss: 2.3135 2022/07/27 19:14:46 - mmengine - INFO - Epoch(train) [62][3140/3757] lr: 7.4240e-03 eta: 2 days, 0:54:48 time: 0.3919 data_time: 0.0127 memory: 17007 grad_norm: 6.2414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8024 loss: 1.8024 2022/07/27 19:14:55 - mmengine - INFO - Epoch(train) [62][3160/3757] lr: 7.4240e-03 eta: 2 days, 0:54:41 time: 0.4119 data_time: 0.0155 memory: 17007 grad_norm: 6.2892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1825 loss: 2.1825 2022/07/27 19:15:03 - mmengine - INFO - Epoch(train) [62][3180/3757] lr: 7.4240e-03 eta: 2 days, 0:54:33 time: 0.3946 data_time: 0.0133 memory: 17007 grad_norm: 6.2950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9793 loss: 1.9793 2022/07/27 19:15:11 - mmengine - INFO - Epoch(train) [62][3200/3757] lr: 7.4240e-03 eta: 2 days, 0:54:25 time: 0.3936 data_time: 0.0157 memory: 17007 grad_norm: 6.3016 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2790 loss: 2.2790 2022/07/27 19:15:19 - mmengine - INFO - Epoch(train) [62][3220/3757] lr: 7.4240e-03 eta: 2 days, 0:54:17 time: 0.4156 data_time: 0.0153 memory: 17007 grad_norm: 6.2490 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3736 loss: 2.3736 2022/07/27 19:15:27 - mmengine - INFO - Epoch(train) [62][3240/3757] lr: 7.4240e-03 eta: 2 days, 0:54:09 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 6.1573 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2213 loss: 2.2213 2022/07/27 19:15:35 - mmengine - INFO - Epoch(train) [62][3260/3757] lr: 7.4240e-03 eta: 2 days, 0:54:01 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 6.4819 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2981 loss: 2.2981 2022/07/27 19:15:43 - mmengine - INFO - Epoch(train) [62][3280/3757] lr: 7.4240e-03 eta: 2 days, 0:53:53 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 6.4495 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1989 loss: 2.1989 2022/07/27 19:15:51 - mmengine - INFO - Epoch(train) [62][3300/3757] lr: 7.4240e-03 eta: 2 days, 0:53:46 time: 0.4056 data_time: 0.0181 memory: 17007 grad_norm: 6.4261 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3293 loss: 2.3293 2022/07/27 19:15:59 - mmengine - INFO - Epoch(train) [62][3320/3757] lr: 7.4240e-03 eta: 2 days, 0:53:38 time: 0.3969 data_time: 0.0160 memory: 17007 grad_norm: 6.3031 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1549 loss: 2.1549 2022/07/27 19:16:06 - mmengine - INFO - Epoch(train) [62][3340/3757] lr: 7.4240e-03 eta: 2 days, 0:53:30 time: 0.3946 data_time: 0.0135 memory: 17007 grad_norm: 6.1638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0270 loss: 2.0270 2022/07/27 19:16:14 - mmengine - INFO - Epoch(train) [62][3360/3757] lr: 7.4240e-03 eta: 2 days, 0:53:22 time: 0.3968 data_time: 0.0161 memory: 17007 grad_norm: 6.2265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0753 loss: 2.0753 2022/07/27 19:16:22 - mmengine - INFO - Epoch(train) [62][3380/3757] lr: 7.4240e-03 eta: 2 days, 0:53:14 time: 0.3917 data_time: 0.0126 memory: 17007 grad_norm: 6.5361 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2656 loss: 2.2656 2022/07/27 19:16:30 - mmengine - INFO - Epoch(train) [62][3400/3757] lr: 7.4240e-03 eta: 2 days, 0:53:06 time: 0.4008 data_time: 0.0191 memory: 17007 grad_norm: 6.3283 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0683 loss: 2.0683 2022/07/27 19:16:38 - mmengine - INFO - Epoch(train) [62][3420/3757] lr: 7.4240e-03 eta: 2 days, 0:52:58 time: 0.3921 data_time: 0.0130 memory: 17007 grad_norm: 6.3550 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1802 loss: 2.1802 2022/07/27 19:16:46 - mmengine - INFO - Epoch(train) [62][3440/3757] lr: 7.4240e-03 eta: 2 days, 0:52:50 time: 0.3988 data_time: 0.0166 memory: 17007 grad_norm: 6.6165 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1662 loss: 2.1662 2022/07/27 19:16:54 - mmengine - INFO - Epoch(train) [62][3460/3757] lr: 7.4240e-03 eta: 2 days, 0:52:42 time: 0.3922 data_time: 0.0128 memory: 17007 grad_norm: 6.4215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2660 loss: 2.2660 2022/07/27 19:17:02 - mmengine - INFO - Epoch(train) [62][3480/3757] lr: 7.4240e-03 eta: 2 days, 0:52:34 time: 0.3928 data_time: 0.0148 memory: 17007 grad_norm: 6.1941 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0944 loss: 2.0944 2022/07/27 19:17:10 - mmengine - INFO - Epoch(train) [62][3500/3757] lr: 7.4240e-03 eta: 2 days, 0:52:26 time: 0.4065 data_time: 0.0162 memory: 17007 grad_norm: 6.2758 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7123 loss: 2.7123 2022/07/27 19:17:18 - mmengine - INFO - Epoch(train) [62][3520/3757] lr: 7.4240e-03 eta: 2 days, 0:52:18 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.1509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1996 loss: 2.1996 2022/07/27 19:17:26 - mmengine - INFO - Epoch(train) [62][3540/3757] lr: 7.4240e-03 eta: 2 days, 0:52:10 time: 0.3963 data_time: 0.0146 memory: 17007 grad_norm: 6.2978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2582 loss: 2.2582 2022/07/27 19:17:34 - mmengine - INFO - Epoch(train) [62][3560/3757] lr: 7.4240e-03 eta: 2 days, 0:52:02 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 6.5495 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2331 loss: 2.2331 2022/07/27 19:17:42 - mmengine - INFO - Epoch(train) [62][3580/3757] lr: 7.4240e-03 eta: 2 days, 0:51:54 time: 0.3926 data_time: 0.0132 memory: 17007 grad_norm: 6.5169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0922 loss: 2.0922 2022/07/27 19:17:50 - mmengine - INFO - Epoch(train) [62][3600/3757] lr: 7.4240e-03 eta: 2 days, 0:51:46 time: 0.3991 data_time: 0.0165 memory: 17007 grad_norm: 6.2231 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1014 loss: 2.1014 2022/07/27 19:17:57 - mmengine - INFO - Epoch(train) [62][3620/3757] lr: 7.4240e-03 eta: 2 days, 0:51:38 time: 0.3907 data_time: 0.0132 memory: 17007 grad_norm: 6.2017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4230 loss: 2.4230 2022/07/27 19:18:05 - mmengine - INFO - Epoch(train) [62][3640/3757] lr: 7.4240e-03 eta: 2 days, 0:51:31 time: 0.4049 data_time: 0.0198 memory: 17007 grad_norm: 6.3092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9609 loss: 1.9609 2022/07/27 19:18:13 - mmengine - INFO - Epoch(train) [62][3660/3757] lr: 7.4240e-03 eta: 2 days, 0:51:22 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 6.2753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1942 loss: 2.1942 2022/07/27 19:18:22 - mmengine - INFO - Epoch(train) [62][3680/3757] lr: 7.4240e-03 eta: 2 days, 0:51:16 time: 0.4250 data_time: 0.0150 memory: 17007 grad_norm: 6.1719 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3875 loss: 2.3875 2022/07/27 19:18:30 - mmengine - INFO - Epoch(train) [62][3700/3757] lr: 7.4240e-03 eta: 2 days, 0:51:08 time: 0.3966 data_time: 0.0152 memory: 17007 grad_norm: 6.2595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1290 loss: 2.1290 2022/07/27 19:18:38 - mmengine - INFO - Epoch(train) [62][3720/3757] lr: 7.4240e-03 eta: 2 days, 0:51:00 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 6.1998 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3023 loss: 2.3023 2022/07/27 19:18:46 - mmengine - INFO - Epoch(train) [62][3740/3757] lr: 7.4240e-03 eta: 2 days, 0:50:52 time: 0.3977 data_time: 0.0145 memory: 17007 grad_norm: 6.1271 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3631 loss: 2.3631 2022/07/27 19:18:52 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:18:52 - mmengine - INFO - Epoch(train) [62][3757/3757] lr: 7.4240e-03 eta: 2 days, 0:50:52 time: 0.3959 data_time: 0.0178 memory: 17007 grad_norm: 6.3428 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.2769 loss: 2.2769 2022/07/27 19:18:52 - mmengine - INFO - Saving checkpoint at 62 epochs 2022/07/27 19:19:03 - mmengine - INFO - Epoch(train) [63][20/3757] lr: 7.3474e-03 eta: 2 days, 0:50:26 time: 0.4399 data_time: 0.0615 memory: 17007 grad_norm: 6.2164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0763 loss: 2.0763 2022/07/27 19:19:11 - mmengine - INFO - Epoch(train) [63][40/3757] lr: 7.3474e-03 eta: 2 days, 0:50:18 time: 0.4033 data_time: 0.0164 memory: 17007 grad_norm: 6.1532 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8329 loss: 1.8329 2022/07/27 19:19:19 - mmengine - INFO - Epoch(train) [63][60/3757] lr: 7.3474e-03 eta: 2 days, 0:50:10 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 6.3501 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2372 loss: 2.2372 2022/07/27 19:19:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:19:27 - mmengine - INFO - Epoch(train) [63][80/3757] lr: 7.3474e-03 eta: 2 days, 0:50:03 time: 0.4139 data_time: 0.0169 memory: 17007 grad_norm: 6.2437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3386 loss: 2.3386 2022/07/27 19:19:35 - mmengine - INFO - Epoch(train) [63][100/3757] lr: 7.3474e-03 eta: 2 days, 0:49:55 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 6.1513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2017 loss: 2.2017 2022/07/27 19:19:43 - mmengine - INFO - Epoch(train) [63][120/3757] lr: 7.3474e-03 eta: 2 days, 0:49:47 time: 0.3924 data_time: 0.0146 memory: 17007 grad_norm: 6.3433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3238 loss: 2.3238 2022/07/27 19:19:51 - mmengine - INFO - Epoch(train) [63][140/3757] lr: 7.3474e-03 eta: 2 days, 0:49:40 time: 0.4233 data_time: 0.0164 memory: 17007 grad_norm: 6.1339 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1613 loss: 2.1613 2022/07/27 19:19:59 - mmengine - INFO - Epoch(train) [63][160/3757] lr: 7.3474e-03 eta: 2 days, 0:49:32 time: 0.3936 data_time: 0.0152 memory: 17007 grad_norm: 6.4205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0921 loss: 2.0921 2022/07/27 19:20:08 - mmengine - INFO - Epoch(train) [63][180/3757] lr: 7.3474e-03 eta: 2 days, 0:49:25 time: 0.4221 data_time: 0.0162 memory: 17007 grad_norm: 6.3925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2412 loss: 2.2412 2022/07/27 19:20:15 - mmengine - INFO - Epoch(train) [63][200/3757] lr: 7.3474e-03 eta: 2 days, 0:49:17 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 6.4547 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4051 loss: 2.4051 2022/07/27 19:20:23 - mmengine - INFO - Epoch(train) [63][220/3757] lr: 7.3474e-03 eta: 2 days, 0:49:08 time: 0.3913 data_time: 0.0141 memory: 17007 grad_norm: 6.3399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2270 loss: 2.2270 2022/07/27 19:20:32 - mmengine - INFO - Epoch(train) [63][240/3757] lr: 7.3474e-03 eta: 2 days, 0:49:02 time: 0.4267 data_time: 0.0156 memory: 17007 grad_norm: 6.4786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0523 loss: 2.0523 2022/07/27 19:20:40 - mmengine - INFO - Epoch(train) [63][260/3757] lr: 7.3474e-03 eta: 2 days, 0:48:54 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 6.3527 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9693 loss: 1.9693 2022/07/27 19:20:48 - mmengine - INFO - Epoch(train) [63][280/3757] lr: 7.3474e-03 eta: 2 days, 0:48:46 time: 0.3985 data_time: 0.0141 memory: 17007 grad_norm: 6.5774 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2590 loss: 2.2590 2022/07/27 19:20:56 - mmengine - INFO - Epoch(train) [63][300/3757] lr: 7.3474e-03 eta: 2 days, 0:48:38 time: 0.3950 data_time: 0.0143 memory: 17007 grad_norm: 6.2796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4823 loss: 2.4823 2022/07/27 19:21:03 - mmengine - INFO - Epoch(train) [63][320/3757] lr: 7.3474e-03 eta: 2 days, 0:48:30 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 6.4899 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1698 loss: 2.1698 2022/07/27 19:21:11 - mmengine - INFO - Epoch(train) [63][340/3757] lr: 7.3474e-03 eta: 2 days, 0:48:22 time: 0.4022 data_time: 0.0154 memory: 17007 grad_norm: 6.5564 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1024 loss: 2.1024 2022/07/27 19:21:20 - mmengine - INFO - Epoch(train) [63][360/3757] lr: 7.3474e-03 eta: 2 days, 0:48:14 time: 0.4069 data_time: 0.0151 memory: 17007 grad_norm: 6.2750 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3490 loss: 2.3490 2022/07/27 19:21:28 - mmengine - INFO - Epoch(train) [63][380/3757] lr: 7.3474e-03 eta: 2 days, 0:48:07 time: 0.4106 data_time: 0.0141 memory: 17007 grad_norm: 6.1431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0791 loss: 2.0791 2022/07/27 19:21:36 - mmengine - INFO - Epoch(train) [63][400/3757] lr: 7.3474e-03 eta: 2 days, 0:48:00 time: 0.4199 data_time: 0.0154 memory: 17007 grad_norm: 6.1432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1054 loss: 2.1054 2022/07/27 19:21:44 - mmengine - INFO - Epoch(train) [63][420/3757] lr: 7.3474e-03 eta: 2 days, 0:47:52 time: 0.3962 data_time: 0.0158 memory: 17007 grad_norm: 6.3079 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4207 loss: 2.4207 2022/07/27 19:21:52 - mmengine - INFO - Epoch(train) [63][440/3757] lr: 7.3474e-03 eta: 2 days, 0:47:44 time: 0.3922 data_time: 0.0153 memory: 17007 grad_norm: 6.3398 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1256 loss: 2.1256 2022/07/27 19:22:00 - mmengine - INFO - Epoch(train) [63][460/3757] lr: 7.3474e-03 eta: 2 days, 0:47:36 time: 0.3958 data_time: 0.0165 memory: 17007 grad_norm: 6.3243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1950 loss: 2.1950 2022/07/27 19:22:08 - mmengine - INFO - Epoch(train) [63][480/3757] lr: 7.3474e-03 eta: 2 days, 0:47:28 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 6.3941 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4476 loss: 2.4476 2022/07/27 19:22:16 - mmengine - INFO - Epoch(train) [63][500/3757] lr: 7.3474e-03 eta: 2 days, 0:47:20 time: 0.3963 data_time: 0.0162 memory: 17007 grad_norm: 6.3576 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2841 loss: 2.2841 2022/07/27 19:22:24 - mmengine - INFO - Epoch(train) [63][520/3757] lr: 7.3474e-03 eta: 2 days, 0:47:12 time: 0.3918 data_time: 0.0147 memory: 17007 grad_norm: 6.0328 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9056 loss: 1.9056 2022/07/27 19:22:31 - mmengine - INFO - Epoch(train) [63][540/3757] lr: 7.3474e-03 eta: 2 days, 0:47:04 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 6.2654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2680 loss: 2.2680 2022/07/27 19:22:39 - mmengine - INFO - Epoch(train) [63][560/3757] lr: 7.3474e-03 eta: 2 days, 0:46:56 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 6.3509 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3691 loss: 2.3691 2022/07/27 19:22:47 - mmengine - INFO - Epoch(train) [63][580/3757] lr: 7.3474e-03 eta: 2 days, 0:46:48 time: 0.3951 data_time: 0.0148 memory: 17007 grad_norm: 6.0338 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1654 loss: 2.1654 2022/07/27 19:22:55 - mmengine - INFO - Epoch(train) [63][600/3757] lr: 7.3474e-03 eta: 2 days, 0:46:40 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 6.3395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9417 loss: 1.9417 2022/07/27 19:23:03 - mmengine - INFO - Epoch(train) [63][620/3757] lr: 7.3474e-03 eta: 2 days, 0:46:31 time: 0.3914 data_time: 0.0139 memory: 17007 grad_norm: 6.3756 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3455 loss: 2.3455 2022/07/27 19:23:11 - mmengine - INFO - Epoch(train) [63][640/3757] lr: 7.3474e-03 eta: 2 days, 0:46:24 time: 0.3951 data_time: 0.0176 memory: 17007 grad_norm: 6.3981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0409 loss: 2.0409 2022/07/27 19:23:19 - mmengine - INFO - Epoch(train) [63][660/3757] lr: 7.3474e-03 eta: 2 days, 0:46:16 time: 0.3965 data_time: 0.0148 memory: 17007 grad_norm: 6.0886 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1545 loss: 2.1545 2022/07/27 19:23:27 - mmengine - INFO - Epoch(train) [63][680/3757] lr: 7.3474e-03 eta: 2 days, 0:46:08 time: 0.3977 data_time: 0.0169 memory: 17007 grad_norm: 6.3267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2744 loss: 2.2744 2022/07/27 19:23:35 - mmengine - INFO - Epoch(train) [63][700/3757] lr: 7.3474e-03 eta: 2 days, 0:46:00 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 6.3724 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0970 loss: 2.0970 2022/07/27 19:23:43 - mmengine - INFO - Epoch(train) [63][720/3757] lr: 7.3474e-03 eta: 2 days, 0:45:52 time: 0.3950 data_time: 0.0145 memory: 17007 grad_norm: 6.3721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9467 loss: 1.9467 2022/07/27 19:23:50 - mmengine - INFO - Epoch(train) [63][740/3757] lr: 7.3474e-03 eta: 2 days, 0:45:44 time: 0.3963 data_time: 0.0166 memory: 17007 grad_norm: 6.6368 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8395 loss: 1.8395 2022/07/27 19:23:59 - mmengine - INFO - Epoch(train) [63][760/3757] lr: 7.3474e-03 eta: 2 days, 0:45:36 time: 0.4082 data_time: 0.0152 memory: 17007 grad_norm: 6.3144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3001 loss: 2.3001 2022/07/27 19:24:07 - mmengine - INFO - Epoch(train) [63][780/3757] lr: 7.3474e-03 eta: 2 days, 0:45:28 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 6.2982 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1071 loss: 2.1071 2022/07/27 19:24:14 - mmengine - INFO - Epoch(train) [63][800/3757] lr: 7.3474e-03 eta: 2 days, 0:45:20 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.5624 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5088 loss: 2.5088 2022/07/27 19:24:22 - mmengine - INFO - Epoch(train) [63][820/3757] lr: 7.3474e-03 eta: 2 days, 0:45:12 time: 0.3975 data_time: 0.0126 memory: 17007 grad_norm: 6.4349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2699 loss: 2.2699 2022/07/27 19:24:30 - mmengine - INFO - Epoch(train) [63][840/3757] lr: 7.3474e-03 eta: 2 days, 0:45:04 time: 0.3979 data_time: 0.0156 memory: 17007 grad_norm: 6.4085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1537 loss: 2.1537 2022/07/27 19:24:38 - mmengine - INFO - Epoch(train) [63][860/3757] lr: 7.3474e-03 eta: 2 days, 0:44:56 time: 0.3922 data_time: 0.0146 memory: 17007 grad_norm: 6.1407 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2268 loss: 2.2268 2022/07/27 19:24:46 - mmengine - INFO - Epoch(train) [63][880/3757] lr: 7.3474e-03 eta: 2 days, 0:44:48 time: 0.3942 data_time: 0.0169 memory: 17007 grad_norm: 6.5352 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2683 loss: 2.2683 2022/07/27 19:24:54 - mmengine - INFO - Epoch(train) [63][900/3757] lr: 7.3474e-03 eta: 2 days, 0:44:40 time: 0.3920 data_time: 0.0146 memory: 17007 grad_norm: 6.2221 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4131 loss: 2.4131 2022/07/27 19:25:02 - mmengine - INFO - Epoch(train) [63][920/3757] lr: 7.3474e-03 eta: 2 days, 0:44:32 time: 0.3961 data_time: 0.0140 memory: 17007 grad_norm: 6.4585 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4031 loss: 2.4031 2022/07/27 19:25:10 - mmengine - INFO - Epoch(train) [63][940/3757] lr: 7.3474e-03 eta: 2 days, 0:44:24 time: 0.3957 data_time: 0.0176 memory: 17007 grad_norm: 6.3871 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2261 loss: 2.2261 2022/07/27 19:25:18 - mmengine - INFO - Epoch(train) [63][960/3757] lr: 7.3474e-03 eta: 2 days, 0:44:16 time: 0.4020 data_time: 0.0154 memory: 17007 grad_norm: 6.5512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5035 loss: 2.5035 2022/07/27 19:25:26 - mmengine - INFO - Epoch(train) [63][980/3757] lr: 7.3474e-03 eta: 2 days, 0:44:08 time: 0.3955 data_time: 0.0165 memory: 17007 grad_norm: 6.4359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1472 loss: 2.1472 2022/07/27 19:25:34 - mmengine - INFO - Epoch(train) [63][1000/3757] lr: 7.3474e-03 eta: 2 days, 0:44:00 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 6.5597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2185 loss: 2.2185 2022/07/27 19:25:42 - mmengine - INFO - Epoch(train) [63][1020/3757] lr: 7.3474e-03 eta: 2 days, 0:43:53 time: 0.4072 data_time: 0.0143 memory: 17007 grad_norm: 6.3652 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2427 loss: 2.2427 2022/07/27 19:25:50 - mmengine - INFO - Epoch(train) [63][1040/3757] lr: 7.3474e-03 eta: 2 days, 0:43:45 time: 0.3960 data_time: 0.0168 memory: 17007 grad_norm: 6.4578 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4071 loss: 2.4071 2022/07/27 19:25:58 - mmengine - INFO - Epoch(train) [63][1060/3757] lr: 7.3474e-03 eta: 2 days, 0:43:37 time: 0.3969 data_time: 0.0148 memory: 17007 grad_norm: 6.2991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0762 loss: 2.0762 2022/07/27 19:26:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:26:06 - mmengine - INFO - Epoch(train) [63][1080/3757] lr: 7.3474e-03 eta: 2 days, 0:43:29 time: 0.3942 data_time: 0.0165 memory: 17007 grad_norm: 6.0858 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0840 loss: 2.0840 2022/07/27 19:26:13 - mmengine - INFO - Epoch(train) [63][1100/3757] lr: 7.3474e-03 eta: 2 days, 0:43:21 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 6.6751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5223 loss: 2.5223 2022/07/27 19:26:21 - mmengine - INFO - Epoch(train) [63][1120/3757] lr: 7.3474e-03 eta: 2 days, 0:43:13 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 6.2054 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.9375 loss: 1.9375 2022/07/27 19:26:29 - mmengine - INFO - Epoch(train) [63][1140/3757] lr: 7.3474e-03 eta: 2 days, 0:43:05 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 6.4271 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2111 loss: 2.2111 2022/07/27 19:26:37 - mmengine - INFO - Epoch(train) [63][1160/3757] lr: 7.3474e-03 eta: 2 days, 0:42:57 time: 0.4071 data_time: 0.0162 memory: 17007 grad_norm: 6.3037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3324 loss: 2.3324 2022/07/27 19:26:45 - mmengine - INFO - Epoch(train) [63][1180/3757] lr: 7.3474e-03 eta: 2 days, 0:42:49 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 6.6882 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4480 loss: 2.4480 2022/07/27 19:26:53 - mmengine - INFO - Epoch(train) [63][1200/3757] lr: 7.3474e-03 eta: 2 days, 0:42:41 time: 0.3945 data_time: 0.0141 memory: 17007 grad_norm: 6.5645 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5659 loss: 2.5659 2022/07/27 19:27:01 - mmengine - INFO - Epoch(train) [63][1220/3757] lr: 7.3474e-03 eta: 2 days, 0:42:34 time: 0.4000 data_time: 0.0153 memory: 17007 grad_norm: 6.3472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2408 loss: 2.2408 2022/07/27 19:27:09 - mmengine - INFO - Epoch(train) [63][1240/3757] lr: 7.3474e-03 eta: 2 days, 0:42:25 time: 0.3922 data_time: 0.0146 memory: 17007 grad_norm: 6.4166 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3441 loss: 2.3441 2022/07/27 19:27:17 - mmengine - INFO - Epoch(train) [63][1260/3757] lr: 7.3474e-03 eta: 2 days, 0:42:17 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 6.3746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1734 loss: 2.1734 2022/07/27 19:27:25 - mmengine - INFO - Epoch(train) [63][1280/3757] lr: 7.3474e-03 eta: 2 days, 0:42:09 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 6.2682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0922 loss: 2.0922 2022/07/27 19:27:33 - mmengine - INFO - Epoch(train) [63][1300/3757] lr: 7.3474e-03 eta: 2 days, 0:42:01 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 6.3964 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1475 loss: 2.1475 2022/07/27 19:27:41 - mmengine - INFO - Epoch(train) [63][1320/3757] lr: 7.3474e-03 eta: 2 days, 0:41:54 time: 0.4117 data_time: 0.0151 memory: 17007 grad_norm: 6.5138 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3018 loss: 2.3018 2022/07/27 19:27:49 - mmengine - INFO - Epoch(train) [63][1340/3757] lr: 7.3474e-03 eta: 2 days, 0:41:46 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 6.3821 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4667 loss: 2.4667 2022/07/27 19:27:57 - mmengine - INFO - Epoch(train) [63][1360/3757] lr: 7.3474e-03 eta: 2 days, 0:41:38 time: 0.3981 data_time: 0.0161 memory: 17007 grad_norm: 6.5811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1893 loss: 2.1893 2022/07/27 19:28:05 - mmengine - INFO - Epoch(train) [63][1380/3757] lr: 7.3474e-03 eta: 2 days, 0:41:30 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 6.4629 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2156 loss: 2.2156 2022/07/27 19:28:12 - mmengine - INFO - Epoch(train) [63][1400/3757] lr: 7.3474e-03 eta: 2 days, 0:41:22 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 6.4837 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3603 loss: 2.3603 2022/07/27 19:28:21 - mmengine - INFO - Epoch(train) [63][1420/3757] lr: 7.3474e-03 eta: 2 days, 0:41:14 time: 0.4087 data_time: 0.0162 memory: 17007 grad_norm: 6.5723 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3730 loss: 2.3730 2022/07/27 19:28:29 - mmengine - INFO - Epoch(train) [63][1440/3757] lr: 7.3474e-03 eta: 2 days, 0:41:07 time: 0.3969 data_time: 0.0156 memory: 17007 grad_norm: 6.2644 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1395 loss: 2.1395 2022/07/27 19:28:37 - mmengine - INFO - Epoch(train) [63][1460/3757] lr: 7.3474e-03 eta: 2 days, 0:40:59 time: 0.4029 data_time: 0.0159 memory: 17007 grad_norm: 6.3998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2713 loss: 2.2713 2022/07/27 19:28:45 - mmengine - INFO - Epoch(train) [63][1480/3757] lr: 7.3474e-03 eta: 2 days, 0:40:51 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 6.1900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1991 loss: 2.1991 2022/07/27 19:28:52 - mmengine - INFO - Epoch(train) [63][1500/3757] lr: 7.3474e-03 eta: 2 days, 0:40:43 time: 0.3928 data_time: 0.0147 memory: 17007 grad_norm: 6.0819 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1949 loss: 2.1949 2022/07/27 19:29:00 - mmengine - INFO - Epoch(train) [63][1520/3757] lr: 7.3474e-03 eta: 2 days, 0:40:35 time: 0.4013 data_time: 0.0172 memory: 17007 grad_norm: 6.6147 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3414 loss: 2.3414 2022/07/27 19:29:08 - mmengine - INFO - Epoch(train) [63][1540/3757] lr: 7.3474e-03 eta: 2 days, 0:40:27 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 6.4710 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4562 loss: 2.4562 2022/07/27 19:29:16 - mmengine - INFO - Epoch(train) [63][1560/3757] lr: 7.3474e-03 eta: 2 days, 0:40:19 time: 0.3951 data_time: 0.0166 memory: 17007 grad_norm: 6.5326 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2492 loss: 2.2492 2022/07/27 19:29:24 - mmengine - INFO - Epoch(train) [63][1580/3757] lr: 7.3474e-03 eta: 2 days, 0:40:11 time: 0.3929 data_time: 0.0134 memory: 17007 grad_norm: 6.5215 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3089 loss: 2.3089 2022/07/27 19:29:32 - mmengine - INFO - Epoch(train) [63][1600/3757] lr: 7.3474e-03 eta: 2 days, 0:40:03 time: 0.3948 data_time: 0.0150 memory: 17007 grad_norm: 6.4029 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1913 loss: 2.1913 2022/07/27 19:29:40 - mmengine - INFO - Epoch(train) [63][1620/3757] lr: 7.3474e-03 eta: 2 days, 0:39:55 time: 0.4031 data_time: 0.0152 memory: 17007 grad_norm: 6.2234 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1150 loss: 2.1150 2022/07/27 19:29:48 - mmengine - INFO - Epoch(train) [63][1640/3757] lr: 7.3474e-03 eta: 2 days, 0:39:47 time: 0.3932 data_time: 0.0152 memory: 17007 grad_norm: 6.0914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0684 loss: 2.0684 2022/07/27 19:29:56 - mmengine - INFO - Epoch(train) [63][1660/3757] lr: 7.3474e-03 eta: 2 days, 0:39:39 time: 0.3954 data_time: 0.0148 memory: 17007 grad_norm: 6.2634 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1684 loss: 2.1684 2022/07/27 19:30:04 - mmengine - INFO - Epoch(train) [63][1680/3757] lr: 7.3474e-03 eta: 2 days, 0:39:31 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 6.4715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2466 loss: 2.2466 2022/07/27 19:30:12 - mmengine - INFO - Epoch(train) [63][1700/3757] lr: 7.3474e-03 eta: 2 days, 0:39:23 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 6.5354 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4817 loss: 2.4817 2022/07/27 19:30:20 - mmengine - INFO - Epoch(train) [63][1720/3757] lr: 7.3474e-03 eta: 2 days, 0:39:15 time: 0.4029 data_time: 0.0158 memory: 17007 grad_norm: 6.6411 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1495 loss: 2.1495 2022/07/27 19:30:28 - mmengine - INFO - Epoch(train) [63][1740/3757] lr: 7.3474e-03 eta: 2 days, 0:39:07 time: 0.3947 data_time: 0.0164 memory: 17007 grad_norm: 6.4220 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1359 loss: 2.1359 2022/07/27 19:30:35 - mmengine - INFO - Epoch(train) [63][1760/3757] lr: 7.3474e-03 eta: 2 days, 0:38:59 time: 0.3921 data_time: 0.0150 memory: 17007 grad_norm: 6.4725 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1823 loss: 2.1823 2022/07/27 19:30:43 - mmengine - INFO - Epoch(train) [63][1780/3757] lr: 7.3474e-03 eta: 2 days, 0:38:51 time: 0.3977 data_time: 0.0146 memory: 17007 grad_norm: 6.4413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3473 loss: 2.3473 2022/07/27 19:30:51 - mmengine - INFO - Epoch(train) [63][1800/3757] lr: 7.3474e-03 eta: 2 days, 0:38:43 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 6.3671 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1988 loss: 2.1988 2022/07/27 19:30:59 - mmengine - INFO - Epoch(train) [63][1820/3757] lr: 7.3474e-03 eta: 2 days, 0:38:35 time: 0.3919 data_time: 0.0138 memory: 17007 grad_norm: 6.5333 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3871 loss: 2.3871 2022/07/27 19:31:07 - mmengine - INFO - Epoch(train) [63][1840/3757] lr: 7.3474e-03 eta: 2 days, 0:38:27 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 6.3298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1415 loss: 2.1415 2022/07/27 19:31:15 - mmengine - INFO - Epoch(train) [63][1860/3757] lr: 7.3474e-03 eta: 2 days, 0:38:19 time: 0.3924 data_time: 0.0141 memory: 17007 grad_norm: 6.4480 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3262 loss: 2.3262 2022/07/27 19:31:23 - mmengine - INFO - Epoch(train) [63][1880/3757] lr: 7.3474e-03 eta: 2 days, 0:38:11 time: 0.3924 data_time: 0.0146 memory: 17007 grad_norm: 6.2601 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1836 loss: 2.1836 2022/07/27 19:31:31 - mmengine - INFO - Epoch(train) [63][1900/3757] lr: 7.3474e-03 eta: 2 days, 0:38:03 time: 0.3978 data_time: 0.0171 memory: 17007 grad_norm: 6.3557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8992 loss: 1.8992 2022/07/27 19:31:39 - mmengine - INFO - Epoch(train) [63][1920/3757] lr: 7.3474e-03 eta: 2 days, 0:37:55 time: 0.3926 data_time: 0.0143 memory: 17007 grad_norm: 6.1720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9539 loss: 1.9539 2022/07/27 19:31:47 - mmengine - INFO - Epoch(train) [63][1940/3757] lr: 7.3474e-03 eta: 2 days, 0:37:47 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 6.2603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2993 loss: 2.2993 2022/07/27 19:31:54 - mmengine - INFO - Epoch(train) [63][1960/3757] lr: 7.3474e-03 eta: 2 days, 0:37:39 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 6.2402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4508 loss: 2.4508 2022/07/27 19:32:02 - mmengine - INFO - Epoch(train) [63][1980/3757] lr: 7.3474e-03 eta: 2 days, 0:37:31 time: 0.3915 data_time: 0.0147 memory: 17007 grad_norm: 6.3942 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2934 loss: 2.2934 2022/07/27 19:32:10 - mmengine - INFO - Epoch(train) [63][2000/3757] lr: 7.3474e-03 eta: 2 days, 0:37:23 time: 0.3973 data_time: 0.0159 memory: 17007 grad_norm: 6.3979 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5087 loss: 2.5087 2022/07/27 19:32:18 - mmengine - INFO - Epoch(train) [63][2020/3757] lr: 7.3474e-03 eta: 2 days, 0:37:15 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.5104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1985 loss: 2.1985 2022/07/27 19:32:26 - mmengine - INFO - Epoch(train) [63][2040/3757] lr: 7.3474e-03 eta: 2 days, 0:37:07 time: 0.4005 data_time: 0.0169 memory: 17007 grad_norm: 6.3416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3594 loss: 2.3594 2022/07/27 19:32:34 - mmengine - INFO - Epoch(train) [63][2060/3757] lr: 7.3474e-03 eta: 2 days, 0:37:00 time: 0.4061 data_time: 0.0125 memory: 17007 grad_norm: 6.5429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3011 loss: 2.3011 2022/07/27 19:32:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:32:46 - mmengine - INFO - Epoch(train) [63][2080/3757] lr: 7.3474e-03 eta: 2 days, 0:36:59 time: 0.5841 data_time: 0.0137 memory: 17007 grad_norm: 6.3009 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9270 loss: 1.9270 2022/07/27 19:32:56 - mmengine - INFO - Epoch(train) [63][2100/3757] lr: 7.3474e-03 eta: 2 days, 0:36:54 time: 0.4915 data_time: 0.0172 memory: 17007 grad_norm: 6.3136 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3339 loss: 2.3339 2022/07/27 19:33:05 - mmengine - INFO - Epoch(train) [63][2120/3757] lr: 7.3474e-03 eta: 2 days, 0:36:49 time: 0.4662 data_time: 0.0123 memory: 17007 grad_norm: 6.3250 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9956 loss: 1.9956 2022/07/27 19:33:16 - mmengine - INFO - Epoch(train) [63][2140/3757] lr: 7.3474e-03 eta: 2 days, 0:36:47 time: 0.5535 data_time: 0.0135 memory: 17007 grad_norm: 6.4239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2387 loss: 2.2387 2022/07/27 19:33:26 - mmengine - INFO - Epoch(train) [63][2160/3757] lr: 7.3474e-03 eta: 2 days, 0:36:43 time: 0.4941 data_time: 0.0160 memory: 17007 grad_norm: 6.5184 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1929 loss: 2.1929 2022/07/27 19:33:34 - mmengine - INFO - Epoch(train) [63][2180/3757] lr: 7.3474e-03 eta: 2 days, 0:36:35 time: 0.4009 data_time: 0.0115 memory: 17007 grad_norm: 6.0609 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0472 loss: 2.0472 2022/07/27 19:33:48 - mmengine - INFO - Epoch(train) [63][2200/3757] lr: 7.3474e-03 eta: 2 days, 0:36:39 time: 0.7210 data_time: 0.0154 memory: 17007 grad_norm: 6.4250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2591 loss: 2.2591 2022/07/27 19:33:56 - mmengine - INFO - Epoch(train) [63][2220/3757] lr: 7.3474e-03 eta: 2 days, 0:36:31 time: 0.3964 data_time: 0.0155 memory: 17007 grad_norm: 6.2981 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4170 loss: 2.4170 2022/07/27 19:34:05 - mmengine - INFO - Epoch(train) [63][2240/3757] lr: 7.3474e-03 eta: 2 days, 0:36:25 time: 0.4426 data_time: 0.0165 memory: 17007 grad_norm: 6.4486 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0261 loss: 2.0261 2022/07/27 19:34:13 - mmengine - INFO - Epoch(train) [63][2260/3757] lr: 7.3474e-03 eta: 2 days, 0:36:17 time: 0.4030 data_time: 0.0159 memory: 17007 grad_norm: 6.5928 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3305 loss: 2.3305 2022/07/27 19:34:23 - mmengine - INFO - Epoch(train) [63][2280/3757] lr: 7.3474e-03 eta: 2 days, 0:36:12 time: 0.4785 data_time: 0.0124 memory: 17007 grad_norm: 6.3408 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1189 loss: 2.1189 2022/07/27 19:34:32 - mmengine - INFO - Epoch(train) [63][2300/3757] lr: 7.3474e-03 eta: 2 days, 0:36:07 time: 0.4765 data_time: 0.0176 memory: 17007 grad_norm: 6.5240 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3504 loss: 2.3504 2022/07/27 19:34:42 - mmengine - INFO - Epoch(train) [63][2320/3757] lr: 7.3474e-03 eta: 2 days, 0:36:03 time: 0.4796 data_time: 0.0146 memory: 17007 grad_norm: 6.2898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1266 loss: 2.1266 2022/07/27 19:34:50 - mmengine - INFO - Epoch(train) [63][2340/3757] lr: 7.3474e-03 eta: 2 days, 0:35:55 time: 0.3946 data_time: 0.0177 memory: 17007 grad_norm: 6.3587 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1887 loss: 2.1887 2022/07/27 19:35:02 - mmengine - INFO - Epoch(train) [63][2360/3757] lr: 7.3474e-03 eta: 2 days, 0:35:54 time: 0.5853 data_time: 0.0124 memory: 17007 grad_norm: 6.1925 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2412 loss: 2.2412 2022/07/27 19:35:11 - mmengine - INFO - Epoch(train) [63][2380/3757] lr: 7.3474e-03 eta: 2 days, 0:35:49 time: 0.4797 data_time: 0.0183 memory: 17007 grad_norm: 6.3165 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4680 loss: 2.4680 2022/07/27 19:35:19 - mmengine - INFO - Epoch(train) [63][2400/3757] lr: 7.3474e-03 eta: 2 days, 0:35:41 time: 0.3998 data_time: 0.0152 memory: 17007 grad_norm: 6.1460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4137 loss: 2.4137 2022/07/27 19:35:27 - mmengine - INFO - Epoch(train) [63][2420/3757] lr: 7.3474e-03 eta: 2 days, 0:35:33 time: 0.3987 data_time: 0.0153 memory: 17007 grad_norm: 6.1896 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2814 loss: 2.2814 2022/07/27 19:35:35 - mmengine - INFO - Epoch(train) [63][2440/3757] lr: 7.3474e-03 eta: 2 days, 0:35:25 time: 0.3911 data_time: 0.0122 memory: 17007 grad_norm: 6.5711 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3075 loss: 2.3075 2022/07/27 19:35:43 - mmengine - INFO - Epoch(train) [63][2460/3757] lr: 7.3474e-03 eta: 2 days, 0:35:17 time: 0.3961 data_time: 0.0172 memory: 17007 grad_norm: 6.2150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2203 loss: 2.2203 2022/07/27 19:35:51 - mmengine - INFO - Epoch(train) [63][2480/3757] lr: 7.3474e-03 eta: 2 days, 0:35:09 time: 0.3934 data_time: 0.0147 memory: 17007 grad_norm: 6.2860 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1364 loss: 2.1364 2022/07/27 19:35:59 - mmengine - INFO - Epoch(train) [63][2500/3757] lr: 7.3474e-03 eta: 2 days, 0:35:01 time: 0.4034 data_time: 0.0174 memory: 17007 grad_norm: 6.4492 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5986 loss: 2.5986 2022/07/27 19:36:07 - mmengine - INFO - Epoch(train) [63][2520/3757] lr: 7.3474e-03 eta: 2 days, 0:34:53 time: 0.3907 data_time: 0.0131 memory: 17007 grad_norm: 6.4555 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0744 loss: 2.0744 2022/07/27 19:36:15 - mmengine - INFO - Epoch(train) [63][2540/3757] lr: 7.3474e-03 eta: 2 days, 0:34:45 time: 0.3965 data_time: 0.0164 memory: 17007 grad_norm: 6.4546 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2917 loss: 2.2917 2022/07/27 19:36:23 - mmengine - INFO - Epoch(train) [63][2560/3757] lr: 7.3474e-03 eta: 2 days, 0:34:38 time: 0.4039 data_time: 0.0119 memory: 17007 grad_norm: 6.1245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2662 loss: 2.2662 2022/07/27 19:36:31 - mmengine - INFO - Epoch(train) [63][2580/3757] lr: 7.3474e-03 eta: 2 days, 0:34:31 time: 0.4257 data_time: 0.0193 memory: 17007 grad_norm: 6.5826 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4017 loss: 2.4017 2022/07/27 19:36:39 - mmengine - INFO - Epoch(train) [63][2600/3757] lr: 7.3474e-03 eta: 2 days, 0:34:23 time: 0.3939 data_time: 0.0125 memory: 17007 grad_norm: 6.2374 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0794 loss: 2.0794 2022/07/27 19:36:47 - mmengine - INFO - Epoch(train) [63][2620/3757] lr: 7.3474e-03 eta: 2 days, 0:34:15 time: 0.3978 data_time: 0.0174 memory: 17007 grad_norm: 6.6004 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3675 loss: 2.3675 2022/07/27 19:36:55 - mmengine - INFO - Epoch(train) [63][2640/3757] lr: 7.3474e-03 eta: 2 days, 0:34:07 time: 0.3920 data_time: 0.0133 memory: 17007 grad_norm: 6.2758 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2663 loss: 2.2663 2022/07/27 19:37:03 - mmengine - INFO - Epoch(train) [63][2660/3757] lr: 7.3474e-03 eta: 2 days, 0:33:59 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 6.2149 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2744 loss: 2.2744 2022/07/27 19:37:11 - mmengine - INFO - Epoch(train) [63][2680/3757] lr: 7.3474e-03 eta: 2 days, 0:33:51 time: 0.3981 data_time: 0.0165 memory: 17007 grad_norm: 6.3614 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1991 loss: 2.1991 2022/07/27 19:37:19 - mmengine - INFO - Epoch(train) [63][2700/3757] lr: 7.3474e-03 eta: 2 days, 0:33:43 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 6.2327 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1384 loss: 2.1384 2022/07/27 19:37:27 - mmengine - INFO - Epoch(train) [63][2720/3757] lr: 7.3474e-03 eta: 2 days, 0:33:35 time: 0.3949 data_time: 0.0152 memory: 17007 grad_norm: 6.3534 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1711 loss: 2.1711 2022/07/27 19:37:35 - mmengine - INFO - Epoch(train) [63][2740/3757] lr: 7.3474e-03 eta: 2 days, 0:33:27 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 6.4803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2229 loss: 2.2229 2022/07/27 19:37:42 - mmengine - INFO - Epoch(train) [63][2760/3757] lr: 7.3474e-03 eta: 2 days, 0:33:19 time: 0.3928 data_time: 0.0120 memory: 17007 grad_norm: 6.1740 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0059 loss: 2.0059 2022/07/27 19:37:50 - mmengine - INFO - Epoch(train) [63][2780/3757] lr: 7.3474e-03 eta: 2 days, 0:33:11 time: 0.3980 data_time: 0.0175 memory: 17007 grad_norm: 6.5475 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9708 loss: 1.9708 2022/07/27 19:37:58 - mmengine - INFO - Epoch(train) [63][2800/3757] lr: 7.3474e-03 eta: 2 days, 0:33:03 time: 0.3934 data_time: 0.0126 memory: 17007 grad_norm: 6.1404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1318 loss: 2.1318 2022/07/27 19:38:06 - mmengine - INFO - Epoch(train) [63][2820/3757] lr: 7.3474e-03 eta: 2 days, 0:32:55 time: 0.3925 data_time: 0.0156 memory: 17007 grad_norm: 6.2454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0811 loss: 2.0811 2022/07/27 19:38:14 - mmengine - INFO - Epoch(train) [63][2840/3757] lr: 7.3474e-03 eta: 2 days, 0:32:47 time: 0.3945 data_time: 0.0167 memory: 17007 grad_norm: 6.4872 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3307 loss: 2.3307 2022/07/27 19:38:22 - mmengine - INFO - Epoch(train) [63][2860/3757] lr: 7.3474e-03 eta: 2 days, 0:32:39 time: 0.3943 data_time: 0.0148 memory: 17007 grad_norm: 6.7057 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2106 loss: 2.2106 2022/07/27 19:38:30 - mmengine - INFO - Epoch(train) [63][2880/3757] lr: 7.3474e-03 eta: 2 days, 0:32:31 time: 0.4012 data_time: 0.0148 memory: 17007 grad_norm: 6.2833 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4007 loss: 2.4007 2022/07/27 19:38:38 - mmengine - INFO - Epoch(train) [63][2900/3757] lr: 7.3474e-03 eta: 2 days, 0:32:23 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 6.4603 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.3938 loss: 2.3938 2022/07/27 19:38:46 - mmengine - INFO - Epoch(train) [63][2920/3757] lr: 7.3474e-03 eta: 2 days, 0:32:15 time: 0.3916 data_time: 0.0143 memory: 17007 grad_norm: 6.5541 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2223 loss: 2.2223 2022/07/27 19:38:54 - mmengine - INFO - Epoch(train) [63][2940/3757] lr: 7.3474e-03 eta: 2 days, 0:32:07 time: 0.3986 data_time: 0.0170 memory: 17007 grad_norm: 6.1657 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0794 loss: 2.0794 2022/07/27 19:39:01 - mmengine - INFO - Epoch(train) [63][2960/3757] lr: 7.3474e-03 eta: 2 days, 0:31:59 time: 0.3906 data_time: 0.0123 memory: 17007 grad_norm: 6.7982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1248 loss: 2.1248 2022/07/27 19:39:10 - mmengine - INFO - Epoch(train) [63][2980/3757] lr: 7.3474e-03 eta: 2 days, 0:31:51 time: 0.4018 data_time: 0.0167 memory: 17007 grad_norm: 6.3703 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1882 loss: 2.1882 2022/07/27 19:39:17 - mmengine - INFO - Epoch(train) [63][3000/3757] lr: 7.3474e-03 eta: 2 days, 0:31:43 time: 0.3987 data_time: 0.0125 memory: 17007 grad_norm: 6.7604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0232 loss: 2.0232 2022/07/27 19:39:25 - mmengine - INFO - Epoch(train) [63][3020/3757] lr: 7.3474e-03 eta: 2 days, 0:31:35 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 6.5355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1357 loss: 2.1357 2022/07/27 19:39:34 - mmengine - INFO - Epoch(train) [63][3040/3757] lr: 7.3474e-03 eta: 2 days, 0:31:28 time: 0.4275 data_time: 0.0142 memory: 17007 grad_norm: 6.4936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9251 loss: 1.9251 2022/07/27 19:39:42 - mmengine - INFO - Epoch(train) [63][3060/3757] lr: 7.3474e-03 eta: 2 days, 0:31:20 time: 0.3916 data_time: 0.0150 memory: 17007 grad_norm: 6.2106 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1771 loss: 2.1771 2022/07/27 19:39:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:39:50 - mmengine - INFO - Epoch(train) [63][3080/3757] lr: 7.3474e-03 eta: 2 days, 0:31:12 time: 0.4018 data_time: 0.0147 memory: 17007 grad_norm: 6.1894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0684 loss: 2.0684 2022/07/27 19:39:58 - mmengine - INFO - Epoch(train) [63][3100/3757] lr: 7.3474e-03 eta: 2 days, 0:31:04 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 6.2505 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0743 loss: 2.0743 2022/07/27 19:40:06 - mmengine - INFO - Epoch(train) [63][3120/3757] lr: 7.3474e-03 eta: 2 days, 0:30:56 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 6.3778 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1707 loss: 2.1707 2022/07/27 19:40:14 - mmengine - INFO - Epoch(train) [63][3140/3757] lr: 7.3474e-03 eta: 2 days, 0:30:48 time: 0.3996 data_time: 0.0168 memory: 17007 grad_norm: 6.3291 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1889 loss: 2.1889 2022/07/27 19:40:22 - mmengine - INFO - Epoch(train) [63][3160/3757] lr: 7.3474e-03 eta: 2 days, 0:30:40 time: 0.4006 data_time: 0.0131 memory: 17007 grad_norm: 6.3874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3068 loss: 2.3068 2022/07/27 19:40:30 - mmengine - INFO - Epoch(train) [63][3180/3757] lr: 7.3474e-03 eta: 2 days, 0:30:33 time: 0.4047 data_time: 0.0171 memory: 17007 grad_norm: 6.3162 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2064 loss: 2.2064 2022/07/27 19:40:38 - mmengine - INFO - Epoch(train) [63][3200/3757] lr: 7.3474e-03 eta: 2 days, 0:30:25 time: 0.3937 data_time: 0.0125 memory: 17007 grad_norm: 6.3218 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0871 loss: 2.0871 2022/07/27 19:40:45 - mmengine - INFO - Epoch(train) [63][3220/3757] lr: 7.3474e-03 eta: 2 days, 0:30:17 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 6.4147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1903 loss: 2.1903 2022/07/27 19:40:53 - mmengine - INFO - Epoch(train) [63][3240/3757] lr: 7.3474e-03 eta: 2 days, 0:30:09 time: 0.3962 data_time: 0.0144 memory: 17007 grad_norm: 6.4064 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1776 loss: 2.1776 2022/07/27 19:41:01 - mmengine - INFO - Epoch(train) [63][3260/3757] lr: 7.3474e-03 eta: 2 days, 0:30:01 time: 0.3909 data_time: 0.0149 memory: 17007 grad_norm: 6.1999 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9802 loss: 1.9802 2022/07/27 19:41:09 - mmengine - INFO - Epoch(train) [63][3280/3757] lr: 7.3474e-03 eta: 2 days, 0:29:53 time: 0.4009 data_time: 0.0155 memory: 17007 grad_norm: 6.3399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2979 loss: 2.2979 2022/07/27 19:41:19 - mmengine - INFO - Epoch(train) [63][3300/3757] lr: 7.3474e-03 eta: 2 days, 0:29:48 time: 0.4871 data_time: 0.0144 memory: 17007 grad_norm: 6.1044 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1428 loss: 2.1428 2022/07/27 19:41:29 - mmengine - INFO - Epoch(train) [63][3320/3757] lr: 7.3474e-03 eta: 2 days, 0:29:44 time: 0.4899 data_time: 0.0137 memory: 17007 grad_norm: 6.3010 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9267 loss: 1.9267 2022/07/27 19:41:37 - mmengine - INFO - Epoch(train) [63][3340/3757] lr: 7.3474e-03 eta: 2 days, 0:29:36 time: 0.3943 data_time: 0.0148 memory: 17007 grad_norm: 6.1002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9263 loss: 1.9263 2022/07/27 19:41:45 - mmengine - INFO - Epoch(train) [63][3360/3757] lr: 7.3474e-03 eta: 2 days, 0:29:28 time: 0.3929 data_time: 0.0138 memory: 17007 grad_norm: 6.4215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0790 loss: 2.0790 2022/07/27 19:41:52 - mmengine - INFO - Epoch(train) [63][3380/3757] lr: 7.3474e-03 eta: 2 days, 0:29:20 time: 0.3979 data_time: 0.0164 memory: 17007 grad_norm: 6.5127 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0107 loss: 2.0107 2022/07/27 19:42:00 - mmengine - INFO - Epoch(train) [63][3400/3757] lr: 7.3474e-03 eta: 2 days, 0:29:12 time: 0.3966 data_time: 0.0128 memory: 17007 grad_norm: 6.5673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2586 loss: 2.2586 2022/07/27 19:42:08 - mmengine - INFO - Epoch(train) [63][3420/3757] lr: 7.3474e-03 eta: 2 days, 0:29:04 time: 0.3982 data_time: 0.0166 memory: 17007 grad_norm: 6.3487 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3405 loss: 2.3405 2022/07/27 19:42:16 - mmengine - INFO - Epoch(train) [63][3440/3757] lr: 7.3474e-03 eta: 2 days, 0:28:56 time: 0.3915 data_time: 0.0135 memory: 17007 grad_norm: 6.5173 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5709 loss: 2.5709 2022/07/27 19:42:25 - mmengine - INFO - Epoch(train) [63][3460/3757] lr: 7.3474e-03 eta: 2 days, 0:28:49 time: 0.4222 data_time: 0.0148 memory: 17007 grad_norm: 6.5204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2715 loss: 2.2715 2022/07/27 19:42:33 - mmengine - INFO - Epoch(train) [63][3480/3757] lr: 7.3474e-03 eta: 2 days, 0:28:41 time: 0.4004 data_time: 0.0138 memory: 17007 grad_norm: 6.5353 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0720 loss: 2.0720 2022/07/27 19:42:41 - mmengine - INFO - Epoch(train) [63][3500/3757] lr: 7.3474e-03 eta: 2 days, 0:28:33 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 6.4672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1148 loss: 2.1148 2022/07/27 19:42:49 - mmengine - INFO - Epoch(train) [63][3520/3757] lr: 7.3474e-03 eta: 2 days, 0:28:25 time: 0.4021 data_time: 0.0136 memory: 17007 grad_norm: 6.4798 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2079 loss: 2.2079 2022/07/27 19:42:57 - mmengine - INFO - Epoch(train) [63][3540/3757] lr: 7.3474e-03 eta: 2 days, 0:28:17 time: 0.3942 data_time: 0.0164 memory: 17007 grad_norm: 6.2931 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5570 loss: 2.5570 2022/07/27 19:43:04 - mmengine - INFO - Epoch(train) [63][3560/3757] lr: 7.3474e-03 eta: 2 days, 0:28:09 time: 0.3919 data_time: 0.0123 memory: 17007 grad_norm: 6.2518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1155 loss: 2.1155 2022/07/27 19:43:12 - mmengine - INFO - Epoch(train) [63][3580/3757] lr: 7.3474e-03 eta: 2 days, 0:28:01 time: 0.3988 data_time: 0.0157 memory: 17007 grad_norm: 6.1431 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7221 loss: 2.7221 2022/07/27 19:43:20 - mmengine - INFO - Epoch(train) [63][3600/3757] lr: 7.3474e-03 eta: 2 days, 0:27:53 time: 0.3967 data_time: 0.0127 memory: 17007 grad_norm: 6.4917 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7624 loss: 2.7624 2022/07/27 19:43:28 - mmengine - INFO - Epoch(train) [63][3620/3757] lr: 7.3474e-03 eta: 2 days, 0:27:45 time: 0.3970 data_time: 0.0164 memory: 17007 grad_norm: 6.2100 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4933 loss: 2.4933 2022/07/27 19:43:36 - mmengine - INFO - Epoch(train) [63][3640/3757] lr: 7.3474e-03 eta: 2 days, 0:27:37 time: 0.3913 data_time: 0.0144 memory: 17007 grad_norm: 6.3062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2243 loss: 2.2243 2022/07/27 19:43:44 - mmengine - INFO - Epoch(train) [63][3660/3757] lr: 7.3474e-03 eta: 2 days, 0:27:29 time: 0.3918 data_time: 0.0148 memory: 17007 grad_norm: 6.4388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6030 loss: 2.6030 2022/07/27 19:43:52 - mmengine - INFO - Epoch(train) [63][3680/3757] lr: 7.3474e-03 eta: 2 days, 0:27:21 time: 0.3953 data_time: 0.0131 memory: 17007 grad_norm: 6.3596 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9426 loss: 1.9426 2022/07/27 19:44:00 - mmengine - INFO - Epoch(train) [63][3700/3757] lr: 7.3474e-03 eta: 2 days, 0:27:13 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.1273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1704 loss: 2.1704 2022/07/27 19:44:08 - mmengine - INFO - Epoch(train) [63][3720/3757] lr: 7.3474e-03 eta: 2 days, 0:27:05 time: 0.3949 data_time: 0.0134 memory: 17007 grad_norm: 6.5633 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2293 loss: 2.2293 2022/07/27 19:44:15 - mmengine - INFO - Epoch(train) [63][3740/3757] lr: 7.3474e-03 eta: 2 days, 0:26:57 time: 0.3938 data_time: 0.0162 memory: 17007 grad_norm: 6.2883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3738 loss: 2.3738 2022/07/27 19:44:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:44:22 - mmengine - INFO - Epoch(train) [63][3757/3757] lr: 7.3474e-03 eta: 2 days, 0:26:57 time: 0.3895 data_time: 0.0133 memory: 17007 grad_norm: 6.2956 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.4017 loss: 2.4017 2022/07/27 19:44:22 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/07/27 19:44:34 - mmengine - INFO - Epoch(train) [64][20/3757] lr: 7.2700e-03 eta: 2 days, 0:26:32 time: 0.4498 data_time: 0.0714 memory: 17007 grad_norm: 6.2268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2952 loss: 2.2952 2022/07/27 19:44:42 - mmengine - INFO - Epoch(train) [64][40/3757] lr: 7.2700e-03 eta: 2 days, 0:26:24 time: 0.3967 data_time: 0.0162 memory: 17007 grad_norm: 6.6953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8405 loss: 1.8405 2022/07/27 19:44:50 - mmengine - INFO - Epoch(train) [64][60/3757] lr: 7.2700e-03 eta: 2 days, 0:26:16 time: 0.3964 data_time: 0.0143 memory: 17007 grad_norm: 6.1544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1741 loss: 2.1741 2022/07/27 19:44:58 - mmengine - INFO - Epoch(train) [64][80/3757] lr: 7.2700e-03 eta: 2 days, 0:26:08 time: 0.4033 data_time: 0.0161 memory: 17007 grad_norm: 6.2734 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3234 loss: 2.3234 2022/07/27 19:45:06 - mmengine - INFO - Epoch(train) [64][100/3757] lr: 7.2700e-03 eta: 2 days, 0:26:00 time: 0.3923 data_time: 0.0138 memory: 17007 grad_norm: 6.2639 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2930 loss: 2.2930 2022/07/27 19:45:13 - mmengine - INFO - Epoch(train) [64][120/3757] lr: 7.2700e-03 eta: 2 days, 0:25:52 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 6.2829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9414 loss: 1.9414 2022/07/27 19:45:21 - mmengine - INFO - Epoch(train) [64][140/3757] lr: 7.2700e-03 eta: 2 days, 0:25:44 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 6.4789 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2168 loss: 2.2168 2022/07/27 19:45:29 - mmengine - INFO - Epoch(train) [64][160/3757] lr: 7.2700e-03 eta: 2 days, 0:25:36 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 6.3158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3672 loss: 2.3672 2022/07/27 19:45:37 - mmengine - INFO - Epoch(train) [64][180/3757] lr: 7.2700e-03 eta: 2 days, 0:25:28 time: 0.3914 data_time: 0.0140 memory: 17007 grad_norm: 6.3755 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2762 loss: 2.2762 2022/07/27 19:45:45 - mmengine - INFO - Epoch(train) [64][200/3757] lr: 7.2700e-03 eta: 2 days, 0:25:20 time: 0.3949 data_time: 0.0165 memory: 17007 grad_norm: 6.2864 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3189 loss: 2.3189 2022/07/27 19:45:53 - mmengine - INFO - Epoch(train) [64][220/3757] lr: 7.2700e-03 eta: 2 days, 0:25:12 time: 0.3991 data_time: 0.0130 memory: 17007 grad_norm: 6.3146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1564 loss: 2.1564 2022/07/27 19:46:01 - mmengine - INFO - Epoch(train) [64][240/3757] lr: 7.2700e-03 eta: 2 days, 0:25:04 time: 0.4082 data_time: 0.0171 memory: 17007 grad_norm: 6.2559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2875 loss: 2.2875 2022/07/27 19:46:09 - mmengine - INFO - Epoch(train) [64][260/3757] lr: 7.2700e-03 eta: 2 days, 0:24:57 time: 0.4045 data_time: 0.0139 memory: 17007 grad_norm: 6.3117 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4571 loss: 2.4571 2022/07/27 19:46:17 - mmengine - INFO - Epoch(train) [64][280/3757] lr: 7.2700e-03 eta: 2 days, 0:24:49 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 6.4033 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5470 loss: 2.5470 2022/07/27 19:46:25 - mmengine - INFO - Epoch(train) [64][300/3757] lr: 7.2700e-03 eta: 2 days, 0:24:41 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 6.2526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2926 loss: 2.2926 2022/07/27 19:46:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:46:33 - mmengine - INFO - Epoch(train) [64][320/3757] lr: 7.2700e-03 eta: 2 days, 0:24:33 time: 0.3994 data_time: 0.0159 memory: 17007 grad_norm: 6.2887 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3768 loss: 2.3768 2022/07/27 19:46:41 - mmengine - INFO - Epoch(train) [64][340/3757] lr: 7.2700e-03 eta: 2 days, 0:24:25 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 6.2162 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4107 loss: 2.4107 2022/07/27 19:46:49 - mmengine - INFO - Epoch(train) [64][360/3757] lr: 7.2700e-03 eta: 2 days, 0:24:17 time: 0.3947 data_time: 0.0162 memory: 17007 grad_norm: 6.1540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1562 loss: 2.1562 2022/07/27 19:46:57 - mmengine - INFO - Epoch(train) [64][380/3757] lr: 7.2700e-03 eta: 2 days, 0:24:09 time: 0.3929 data_time: 0.0149 memory: 17007 grad_norm: 6.4358 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0975 loss: 2.0975 2022/07/27 19:47:05 - mmengine - INFO - Epoch(train) [64][400/3757] lr: 7.2700e-03 eta: 2 days, 0:24:01 time: 0.4043 data_time: 0.0161 memory: 17007 grad_norm: 6.5291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1229 loss: 2.1229 2022/07/27 19:47:13 - mmengine - INFO - Epoch(train) [64][420/3757] lr: 7.2700e-03 eta: 2 days, 0:23:53 time: 0.3964 data_time: 0.0138 memory: 17007 grad_norm: 6.3576 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4883 loss: 2.4883 2022/07/27 19:47:21 - mmengine - INFO - Epoch(train) [64][440/3757] lr: 7.2700e-03 eta: 2 days, 0:23:45 time: 0.3964 data_time: 0.0155 memory: 17007 grad_norm: 6.5320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3692 loss: 2.3692 2022/07/27 19:47:28 - mmengine - INFO - Epoch(train) [64][460/3757] lr: 7.2700e-03 eta: 2 days, 0:23:37 time: 0.3936 data_time: 0.0139 memory: 17007 grad_norm: 6.2852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1620 loss: 2.1620 2022/07/27 19:47:36 - mmengine - INFO - Epoch(train) [64][480/3757] lr: 7.2700e-03 eta: 2 days, 0:23:29 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 6.3627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8590 loss: 1.8590 2022/07/27 19:47:44 - mmengine - INFO - Epoch(train) [64][500/3757] lr: 7.2700e-03 eta: 2 days, 0:23:21 time: 0.4001 data_time: 0.0144 memory: 17007 grad_norm: 6.2624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2315 loss: 2.2315 2022/07/27 19:47:52 - mmengine - INFO - Epoch(train) [64][520/3757] lr: 7.2700e-03 eta: 2 days, 0:23:13 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 6.2808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9122 loss: 1.9122 2022/07/27 19:48:01 - mmengine - INFO - Epoch(train) [64][540/3757] lr: 7.2700e-03 eta: 2 days, 0:23:06 time: 0.4212 data_time: 0.0158 memory: 17007 grad_norm: 6.3726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8752 loss: 1.8752 2022/07/27 19:48:09 - mmengine - INFO - Epoch(train) [64][560/3757] lr: 7.2700e-03 eta: 2 days, 0:22:58 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 6.4990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4685 loss: 2.4685 2022/07/27 19:48:16 - mmengine - INFO - Epoch(train) [64][580/3757] lr: 7.2700e-03 eta: 2 days, 0:22:50 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 6.0805 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2282 loss: 2.2282 2022/07/27 19:48:24 - mmengine - INFO - Epoch(train) [64][600/3757] lr: 7.2700e-03 eta: 2 days, 0:22:42 time: 0.3979 data_time: 0.0156 memory: 17007 grad_norm: 6.5083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0296 loss: 2.0296 2022/07/27 19:48:32 - mmengine - INFO - Epoch(train) [64][620/3757] lr: 7.2700e-03 eta: 2 days, 0:22:34 time: 0.3920 data_time: 0.0132 memory: 17007 grad_norm: 6.3918 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0568 loss: 2.0568 2022/07/27 19:48:40 - mmengine - INFO - Epoch(train) [64][640/3757] lr: 7.2700e-03 eta: 2 days, 0:22:26 time: 0.4018 data_time: 0.0161 memory: 17007 grad_norm: 6.2637 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3180 loss: 2.3180 2022/07/27 19:48:51 - mmengine - INFO - Epoch(train) [64][660/3757] lr: 7.2700e-03 eta: 2 days, 0:22:23 time: 0.5077 data_time: 0.0156 memory: 17007 grad_norm: 6.5276 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3709 loss: 2.3709 2022/07/27 19:49:00 - mmengine - INFO - Epoch(train) [64][680/3757] lr: 7.2700e-03 eta: 2 days, 0:22:18 time: 0.4935 data_time: 0.0182 memory: 17007 grad_norm: 6.6447 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.6617 loss: 2.6617 2022/07/27 19:49:18 - mmengine - INFO - Epoch(train) [64][700/3757] lr: 7.2700e-03 eta: 2 days, 0:22:28 time: 0.8688 data_time: 0.0181 memory: 17007 grad_norm: 6.6024 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4174 loss: 2.4174 2022/07/27 19:49:28 - mmengine - INFO - Epoch(train) [64][720/3757] lr: 7.2700e-03 eta: 2 days, 0:22:23 time: 0.4910 data_time: 0.0141 memory: 17007 grad_norm: 6.7882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4173 loss: 2.4173 2022/07/27 19:49:40 - mmengine - INFO - Epoch(train) [64][740/3757] lr: 7.2700e-03 eta: 2 days, 0:22:23 time: 0.5973 data_time: 0.1619 memory: 17007 grad_norm: 6.2548 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.3743 loss: 2.3743 2022/07/27 19:49:48 - mmengine - INFO - Epoch(train) [64][760/3757] lr: 7.2700e-03 eta: 2 days, 0:22:16 time: 0.4400 data_time: 0.0180 memory: 17007 grad_norm: 6.4000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0827 loss: 2.0827 2022/07/27 19:49:56 - mmengine - INFO - Epoch(train) [64][780/3757] lr: 7.2700e-03 eta: 2 days, 0:22:08 time: 0.3908 data_time: 0.0136 memory: 17007 grad_norm: 6.3764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9675 loss: 1.9675 2022/07/27 19:50:04 - mmengine - INFO - Epoch(train) [64][800/3757] lr: 7.2700e-03 eta: 2 days, 0:22:01 time: 0.4113 data_time: 0.0157 memory: 17007 grad_norm: 6.2143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3146 loss: 2.3146 2022/07/27 19:50:12 - mmengine - INFO - Epoch(train) [64][820/3757] lr: 7.2700e-03 eta: 2 days, 0:21:53 time: 0.3967 data_time: 0.0135 memory: 17007 grad_norm: 6.5011 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3314 loss: 2.3314 2022/07/27 19:50:20 - mmengine - INFO - Epoch(train) [64][840/3757] lr: 7.2700e-03 eta: 2 days, 0:21:45 time: 0.3990 data_time: 0.0167 memory: 17007 grad_norm: 6.3143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6550 loss: 2.6550 2022/07/27 19:50:28 - mmengine - INFO - Epoch(train) [64][860/3757] lr: 7.2700e-03 eta: 2 days, 0:21:37 time: 0.3993 data_time: 0.0128 memory: 17007 grad_norm: 6.4591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1544 loss: 2.1544 2022/07/27 19:50:36 - mmengine - INFO - Epoch(train) [64][880/3757] lr: 7.2700e-03 eta: 2 days, 0:21:29 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 6.4584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5634 loss: 2.5634 2022/07/27 19:50:44 - mmengine - INFO - Epoch(train) [64][900/3757] lr: 7.2700e-03 eta: 2 days, 0:21:22 time: 0.4054 data_time: 0.0138 memory: 17007 grad_norm: 6.2989 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9732 loss: 1.9732 2022/07/27 19:50:52 - mmengine - INFO - Epoch(train) [64][920/3757] lr: 7.2700e-03 eta: 2 days, 0:21:13 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.4460 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2230 loss: 2.2230 2022/07/27 19:51:00 - mmengine - INFO - Epoch(train) [64][940/3757] lr: 7.2700e-03 eta: 2 days, 0:21:05 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 6.6253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3276 loss: 2.3276 2022/07/27 19:51:08 - mmengine - INFO - Epoch(train) [64][960/3757] lr: 7.2700e-03 eta: 2 days, 0:20:57 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 6.5941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2034 loss: 2.2034 2022/07/27 19:51:16 - mmengine - INFO - Epoch(train) [64][980/3757] lr: 7.2700e-03 eta: 2 days, 0:20:49 time: 0.3922 data_time: 0.0138 memory: 17007 grad_norm: 6.2238 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5699 loss: 2.5699 2022/07/27 19:51:24 - mmengine - INFO - Epoch(train) [64][1000/3757] lr: 7.2700e-03 eta: 2 days, 0:20:41 time: 0.4001 data_time: 0.0156 memory: 17007 grad_norm: 6.2946 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4292 loss: 2.4292 2022/07/27 19:51:34 - mmengine - INFO - Epoch(train) [64][1020/3757] lr: 7.2700e-03 eta: 2 days, 0:20:37 time: 0.4994 data_time: 0.0135 memory: 17007 grad_norm: 6.1851 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2553 loss: 2.2553 2022/07/27 19:51:42 - mmengine - INFO - Epoch(train) [64][1040/3757] lr: 7.2700e-03 eta: 2 days, 0:20:30 time: 0.4018 data_time: 0.0172 memory: 17007 grad_norm: 6.3645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1256 loss: 2.1256 2022/07/27 19:51:50 - mmengine - INFO - Epoch(train) [64][1060/3757] lr: 7.2700e-03 eta: 2 days, 0:20:22 time: 0.4172 data_time: 0.0139 memory: 17007 grad_norm: 6.3245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0903 loss: 2.0903 2022/07/27 19:51:58 - mmengine - INFO - Epoch(train) [64][1080/3757] lr: 7.2700e-03 eta: 2 days, 0:20:15 time: 0.3996 data_time: 0.0169 memory: 17007 grad_norm: 6.3400 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1336 loss: 2.1336 2022/07/27 19:52:06 - mmengine - INFO - Epoch(train) [64][1100/3757] lr: 7.2700e-03 eta: 2 days, 0:20:06 time: 0.3921 data_time: 0.0133 memory: 17007 grad_norm: 6.3849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2090 loss: 2.2090 2022/07/27 19:52:14 - mmengine - INFO - Epoch(train) [64][1120/3757] lr: 7.2700e-03 eta: 2 days, 0:19:58 time: 0.3934 data_time: 0.0159 memory: 17007 grad_norm: 6.2746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9728 loss: 1.9728 2022/07/27 19:52:22 - mmengine - INFO - Epoch(train) [64][1140/3757] lr: 7.2700e-03 eta: 2 days, 0:19:50 time: 0.3978 data_time: 0.0131 memory: 17007 grad_norm: 6.2680 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4803 loss: 2.4803 2022/07/27 19:52:30 - mmengine - INFO - Epoch(train) [64][1160/3757] lr: 7.2700e-03 eta: 2 days, 0:19:42 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 6.5117 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0385 loss: 2.0385 2022/07/27 19:52:38 - mmengine - INFO - Epoch(train) [64][1180/3757] lr: 7.2700e-03 eta: 2 days, 0:19:34 time: 0.3931 data_time: 0.0133 memory: 17007 grad_norm: 6.4571 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3744 loss: 2.3744 2022/07/27 19:52:46 - mmengine - INFO - Epoch(train) [64][1200/3757] lr: 7.2700e-03 eta: 2 days, 0:19:26 time: 0.3998 data_time: 0.0192 memory: 17007 grad_norm: 6.4216 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4113 loss: 2.4113 2022/07/27 19:52:54 - mmengine - INFO - Epoch(train) [64][1220/3757] lr: 7.2700e-03 eta: 2 days, 0:19:19 time: 0.4044 data_time: 0.0126 memory: 17007 grad_norm: 6.3843 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5667 loss: 2.5667 2022/07/27 19:53:02 - mmengine - INFO - Epoch(train) [64][1240/3757] lr: 7.2700e-03 eta: 2 days, 0:19:11 time: 0.3970 data_time: 0.0167 memory: 17007 grad_norm: 6.4443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2022 loss: 2.2022 2022/07/27 19:53:10 - mmengine - INFO - Epoch(train) [64][1260/3757] lr: 7.2700e-03 eta: 2 days, 0:19:03 time: 0.3925 data_time: 0.0135 memory: 17007 grad_norm: 6.3807 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2237 loss: 2.2237 2022/07/27 19:53:17 - mmengine - INFO - Epoch(train) [64][1280/3757] lr: 7.2700e-03 eta: 2 days, 0:18:55 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.5491 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2589 loss: 2.2589 2022/07/27 19:53:26 - mmengine - INFO - Epoch(train) [64][1300/3757] lr: 7.2700e-03 eta: 2 days, 0:18:48 time: 0.4179 data_time: 0.0149 memory: 17007 grad_norm: 6.3953 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4772 loss: 2.4772 2022/07/27 19:53:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 19:53:34 - mmengine - INFO - Epoch(train) [64][1320/3757] lr: 7.2700e-03 eta: 2 days, 0:18:40 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 6.5151 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4038 loss: 2.4038 2022/07/27 19:53:42 - mmengine - INFO - Epoch(train) [64][1340/3757] lr: 7.2700e-03 eta: 2 days, 0:18:32 time: 0.3977 data_time: 0.0150 memory: 17007 grad_norm: 6.4071 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2642 loss: 2.2642 2022/07/27 19:53:50 - mmengine - INFO - Epoch(train) [64][1360/3757] lr: 7.2700e-03 eta: 2 days, 0:18:24 time: 0.4026 data_time: 0.0159 memory: 17007 grad_norm: 6.5237 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4193 loss: 2.4193 2022/07/27 19:53:58 - mmengine - INFO - Epoch(train) [64][1380/3757] lr: 7.2700e-03 eta: 2 days, 0:18:16 time: 0.3912 data_time: 0.0136 memory: 17007 grad_norm: 6.6311 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5726 loss: 2.5726 2022/07/27 19:54:06 - mmengine - INFO - Epoch(train) [64][1400/3757] lr: 7.2700e-03 eta: 2 days, 0:18:08 time: 0.3970 data_time: 0.0165 memory: 17007 grad_norm: 6.5720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1278 loss: 2.1278 2022/07/27 19:54:13 - mmengine - INFO - Epoch(train) [64][1420/3757] lr: 7.2700e-03 eta: 2 days, 0:18:00 time: 0.3952 data_time: 0.0148 memory: 17007 grad_norm: 6.4891 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2576 loss: 2.2576 2022/07/27 19:54:22 - mmengine - INFO - Epoch(train) [64][1440/3757] lr: 7.2700e-03 eta: 2 days, 0:17:52 time: 0.4053 data_time: 0.0172 memory: 17007 grad_norm: 6.2866 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9686 loss: 1.9686 2022/07/27 19:54:30 - mmengine - INFO - Epoch(train) [64][1460/3757] lr: 7.2700e-03 eta: 2 days, 0:17:44 time: 0.3983 data_time: 0.0139 memory: 17007 grad_norm: 6.4658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4145 loss: 2.4145 2022/07/27 19:54:37 - mmengine - INFO - Epoch(train) [64][1480/3757] lr: 7.2700e-03 eta: 2 days, 0:17:36 time: 0.3942 data_time: 0.0163 memory: 17007 grad_norm: 6.5827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1565 loss: 2.1565 2022/07/27 19:54:46 - mmengine - INFO - Epoch(train) [64][1500/3757] lr: 7.2700e-03 eta: 2 days, 0:17:29 time: 0.4043 data_time: 0.0151 memory: 17007 grad_norm: 6.4500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4143 loss: 2.4143 2022/07/27 19:54:53 - mmengine - INFO - Epoch(train) [64][1520/3757] lr: 7.2700e-03 eta: 2 days, 0:17:21 time: 0.3950 data_time: 0.0159 memory: 17007 grad_norm: 6.2903 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5034 loss: 2.5034 2022/07/27 19:55:01 - mmengine - INFO - Epoch(train) [64][1540/3757] lr: 7.2700e-03 eta: 2 days, 0:17:13 time: 0.3961 data_time: 0.0161 memory: 17007 grad_norm: 6.3494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1200 loss: 2.1200 2022/07/27 19:55:09 - mmengine - INFO - Epoch(train) [64][1560/3757] lr: 7.2700e-03 eta: 2 days, 0:17:05 time: 0.4000 data_time: 0.0172 memory: 17007 grad_norm: 6.3869 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3307 loss: 2.3307 2022/07/27 19:55:17 - mmengine - INFO - Epoch(train) [64][1580/3757] lr: 7.2700e-03 eta: 2 days, 0:16:57 time: 0.3916 data_time: 0.0140 memory: 17007 grad_norm: 6.4599 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3154 loss: 2.3154 2022/07/27 19:55:25 - mmengine - INFO - Epoch(train) [64][1600/3757] lr: 7.2700e-03 eta: 2 days, 0:16:49 time: 0.4004 data_time: 0.0164 memory: 17007 grad_norm: 6.1384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1121 loss: 2.1121 2022/07/27 19:55:33 - mmengine - INFO - Epoch(train) [64][1620/3757] lr: 7.2700e-03 eta: 2 days, 0:16:41 time: 0.3920 data_time: 0.0138 memory: 17007 grad_norm: 6.3588 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4079 loss: 2.4079 2022/07/27 19:55:41 - mmengine - INFO - Epoch(train) [64][1640/3757] lr: 7.2700e-03 eta: 2 days, 0:16:33 time: 0.3980 data_time: 0.0171 memory: 17007 grad_norm: 6.4359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0174 loss: 2.0174 2022/07/27 19:55:49 - mmengine - INFO - Epoch(train) [64][1660/3757] lr: 7.2700e-03 eta: 2 days, 0:16:25 time: 0.3910 data_time: 0.0128 memory: 17007 grad_norm: 6.2429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2824 loss: 2.2824 2022/07/27 19:55:57 - mmengine - INFO - Epoch(train) [64][1680/3757] lr: 7.2700e-03 eta: 2 days, 0:16:17 time: 0.3926 data_time: 0.0150 memory: 17007 grad_norm: 6.2833 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1487 loss: 2.1487 2022/07/27 19:56:05 - mmengine - INFO - Epoch(train) [64][1700/3757] lr: 7.2700e-03 eta: 2 days, 0:16:09 time: 0.3998 data_time: 0.0145 memory: 17007 grad_norm: 6.5571 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0335 loss: 2.0335 2022/07/27 19:56:13 - mmengine - INFO - Epoch(train) [64][1720/3757] lr: 7.2700e-03 eta: 2 days, 0:16:01 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 6.5641 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1771 loss: 2.1771 2022/07/27 19:56:21 - mmengine - INFO - Epoch(train) [64][1740/3757] lr: 7.2700e-03 eta: 2 days, 0:15:53 time: 0.4140 data_time: 0.0154 memory: 17007 grad_norm: 6.2520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2037 loss: 2.2037 2022/07/27 19:56:29 - mmengine - INFO - Epoch(train) [64][1760/3757] lr: 7.2700e-03 eta: 2 days, 0:15:45 time: 0.3918 data_time: 0.0155 memory: 17007 grad_norm: 6.2610 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9149 loss: 1.9149 2022/07/27 19:56:37 - mmengine - INFO - Epoch(train) [64][1780/3757] lr: 7.2700e-03 eta: 2 days, 0:15:37 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 6.0022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9584 loss: 1.9584 2022/07/27 19:56:45 - mmengine - INFO - Epoch(train) [64][1800/3757] lr: 7.2700e-03 eta: 2 days, 0:15:29 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 6.4139 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8178 loss: 1.8178 2022/07/27 19:56:52 - mmengine - INFO - Epoch(train) [64][1820/3757] lr: 7.2700e-03 eta: 2 days, 0:15:21 time: 0.3953 data_time: 0.0168 memory: 17007 grad_norm: 6.4826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/07/27 19:57:01 - mmengine - INFO - Epoch(train) [64][1840/3757] lr: 7.2700e-03 eta: 2 days, 0:15:14 time: 0.4162 data_time: 0.0146 memory: 17007 grad_norm: 6.4570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1910 loss: 2.1910 2022/07/27 19:57:09 - mmengine - INFO - Epoch(train) [64][1860/3757] lr: 7.2700e-03 eta: 2 days, 0:15:06 time: 0.3979 data_time: 0.0150 memory: 17007 grad_norm: 6.5543 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3410 loss: 2.3410 2022/07/27 19:57:17 - mmengine - INFO - Epoch(train) [64][1880/3757] lr: 7.2700e-03 eta: 2 days, 0:14:58 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.3482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1226 loss: 2.1226 2022/07/27 19:57:24 - mmengine - INFO - Epoch(train) [64][1900/3757] lr: 7.2700e-03 eta: 2 days, 0:14:50 time: 0.3921 data_time: 0.0128 memory: 17007 grad_norm: 6.3830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2141 loss: 2.2141 2022/07/27 19:57:32 - mmengine - INFO - Epoch(train) [64][1920/3757] lr: 7.2700e-03 eta: 2 days, 0:14:42 time: 0.3954 data_time: 0.0154 memory: 17007 grad_norm: 6.1701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3285 loss: 2.3285 2022/07/27 19:57:40 - mmengine - INFO - Epoch(train) [64][1940/3757] lr: 7.2700e-03 eta: 2 days, 0:14:34 time: 0.3991 data_time: 0.0140 memory: 17007 grad_norm: 6.4587 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1175 loss: 2.1175 2022/07/27 19:57:48 - mmengine - INFO - Epoch(train) [64][1960/3757] lr: 7.2700e-03 eta: 2 days, 0:14:26 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 6.4097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1148 loss: 2.1148 2022/07/27 19:57:56 - mmengine - INFO - Epoch(train) [64][1980/3757] lr: 7.2700e-03 eta: 2 days, 0:14:18 time: 0.3961 data_time: 0.0139 memory: 17007 grad_norm: 6.6108 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1661 loss: 2.1661 2022/07/27 19:58:05 - mmengine - INFO - Epoch(train) [64][2000/3757] lr: 7.2700e-03 eta: 2 days, 0:14:11 time: 0.4183 data_time: 0.0153 memory: 17007 grad_norm: 6.6015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1492 loss: 2.1492 2022/07/27 19:58:12 - mmengine - INFO - Epoch(train) [64][2020/3757] lr: 7.2700e-03 eta: 2 days, 0:14:03 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 6.1421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1935 loss: 2.1935 2022/07/27 19:58:21 - mmengine - INFO - Epoch(train) [64][2040/3757] lr: 7.2700e-03 eta: 2 days, 0:13:56 time: 0.4270 data_time: 0.0169 memory: 17007 grad_norm: 6.4809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1371 loss: 2.1371 2022/07/27 19:58:29 - mmengine - INFO - Epoch(train) [64][2060/3757] lr: 7.2700e-03 eta: 2 days, 0:13:48 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 6.2703 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8950 loss: 1.8950 2022/07/27 19:58:37 - mmengine - INFO - Epoch(train) [64][2080/3757] lr: 7.2700e-03 eta: 2 days, 0:13:40 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 6.1490 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1122 loss: 2.1122 2022/07/27 19:58:45 - mmengine - INFO - Epoch(train) [64][2100/3757] lr: 7.2700e-03 eta: 2 days, 0:13:32 time: 0.3966 data_time: 0.0142 memory: 17007 grad_norm: 6.6618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7282 loss: 2.7282 2022/07/27 19:58:53 - mmengine - INFO - Epoch(train) [64][2120/3757] lr: 7.2700e-03 eta: 2 days, 0:13:24 time: 0.3975 data_time: 0.0154 memory: 17007 grad_norm: 6.4195 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4192 loss: 2.4192 2022/07/27 19:59:01 - mmengine - INFO - Epoch(train) [64][2140/3757] lr: 7.2700e-03 eta: 2 days, 0:13:17 time: 0.4122 data_time: 0.0145 memory: 17007 grad_norm: 6.4128 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1275 loss: 2.1275 2022/07/27 19:59:09 - mmengine - INFO - Epoch(train) [64][2160/3757] lr: 7.2700e-03 eta: 2 days, 0:13:09 time: 0.3967 data_time: 0.0161 memory: 17007 grad_norm: 6.1112 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1314 loss: 2.1314 2022/07/27 19:59:17 - mmengine - INFO - Epoch(train) [64][2180/3757] lr: 7.2700e-03 eta: 2 days, 0:13:01 time: 0.3926 data_time: 0.0139 memory: 17007 grad_norm: 6.2423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0365 loss: 2.0365 2022/07/27 19:59:25 - mmengine - INFO - Epoch(train) [64][2200/3757] lr: 7.2700e-03 eta: 2 days, 0:12:53 time: 0.4111 data_time: 0.0160 memory: 17007 grad_norm: 6.3608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1886 loss: 2.1886 2022/07/27 19:59:33 - mmengine - INFO - Epoch(train) [64][2220/3757] lr: 7.2700e-03 eta: 2 days, 0:12:45 time: 0.3945 data_time: 0.0139 memory: 17007 grad_norm: 6.4201 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3112 loss: 2.3112 2022/07/27 19:59:41 - mmengine - INFO - Epoch(train) [64][2240/3757] lr: 7.2700e-03 eta: 2 days, 0:12:37 time: 0.3967 data_time: 0.0164 memory: 17007 grad_norm: 6.2783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3884 loss: 2.3884 2022/07/27 19:59:49 - mmengine - INFO - Epoch(train) [64][2260/3757] lr: 7.2700e-03 eta: 2 days, 0:12:29 time: 0.3924 data_time: 0.0129 memory: 17007 grad_norm: 6.3299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9132 loss: 1.9132 2022/07/27 19:59:57 - mmengine - INFO - Epoch(train) [64][2280/3757] lr: 7.2700e-03 eta: 2 days, 0:12:21 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 6.6218 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1951 loss: 2.1951 2022/07/27 20:00:04 - mmengine - INFO - Epoch(train) [64][2300/3757] lr: 7.2700e-03 eta: 2 days, 0:12:13 time: 0.3975 data_time: 0.0131 memory: 17007 grad_norm: 6.6561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2090 loss: 2.2090 2022/07/27 20:00:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:00:12 - mmengine - INFO - Epoch(train) [64][2320/3757] lr: 7.2700e-03 eta: 2 days, 0:12:05 time: 0.3970 data_time: 0.0177 memory: 17007 grad_norm: 6.7479 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0765 loss: 2.0765 2022/07/27 20:00:20 - mmengine - INFO - Epoch(train) [64][2340/3757] lr: 7.2700e-03 eta: 2 days, 0:11:57 time: 0.3948 data_time: 0.0129 memory: 17007 grad_norm: 6.5921 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2574 loss: 2.2574 2022/07/27 20:00:28 - mmengine - INFO - Epoch(train) [64][2360/3757] lr: 7.2700e-03 eta: 2 days, 0:11:49 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.7176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3495 loss: 2.3495 2022/07/27 20:00:36 - mmengine - INFO - Epoch(train) [64][2380/3757] lr: 7.2700e-03 eta: 2 days, 0:11:41 time: 0.3947 data_time: 0.0146 memory: 17007 grad_norm: 6.3860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3658 loss: 2.3658 2022/07/27 20:00:44 - mmengine - INFO - Epoch(train) [64][2400/3757] lr: 7.2700e-03 eta: 2 days, 0:11:33 time: 0.3962 data_time: 0.0162 memory: 17007 grad_norm: 6.4479 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2074 loss: 2.2074 2022/07/27 20:00:52 - mmengine - INFO - Epoch(train) [64][2420/3757] lr: 7.2700e-03 eta: 2 days, 0:11:25 time: 0.3924 data_time: 0.0132 memory: 17007 grad_norm: 6.3035 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9242 loss: 1.9242 2022/07/27 20:01:00 - mmengine - INFO - Epoch(train) [64][2440/3757] lr: 7.2700e-03 eta: 2 days, 0:11:18 time: 0.4030 data_time: 0.0172 memory: 17007 grad_norm: 6.4291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3281 loss: 2.3281 2022/07/27 20:01:08 - mmengine - INFO - Epoch(train) [64][2460/3757] lr: 7.2700e-03 eta: 2 days, 0:11:09 time: 0.3924 data_time: 0.0129 memory: 17007 grad_norm: 6.4323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2172 loss: 2.2172 2022/07/27 20:01:16 - mmengine - INFO - Epoch(train) [64][2480/3757] lr: 7.2700e-03 eta: 2 days, 0:11:02 time: 0.4073 data_time: 0.0159 memory: 17007 grad_norm: 6.4817 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2115 loss: 2.2115 2022/07/27 20:01:24 - mmengine - INFO - Epoch(train) [64][2500/3757] lr: 7.2700e-03 eta: 2 days, 0:10:54 time: 0.4007 data_time: 0.0151 memory: 17007 grad_norm: 6.5023 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2133 loss: 2.2133 2022/07/27 20:01:32 - mmengine - INFO - Epoch(train) [64][2520/3757] lr: 7.2700e-03 eta: 2 days, 0:10:46 time: 0.3950 data_time: 0.0169 memory: 17007 grad_norm: 6.2416 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0990 loss: 2.0990 2022/07/27 20:01:40 - mmengine - INFO - Epoch(train) [64][2540/3757] lr: 7.2700e-03 eta: 2 days, 0:10:38 time: 0.3982 data_time: 0.0133 memory: 17007 grad_norm: 6.3635 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5649 loss: 2.5649 2022/07/27 20:01:48 - mmengine - INFO - Epoch(train) [64][2560/3757] lr: 7.2700e-03 eta: 2 days, 0:10:30 time: 0.3946 data_time: 0.0167 memory: 17007 grad_norm: 6.5458 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2227 loss: 2.2227 2022/07/27 20:01:56 - mmengine - INFO - Epoch(train) [64][2580/3757] lr: 7.2700e-03 eta: 2 days, 0:10:22 time: 0.3924 data_time: 0.0135 memory: 17007 grad_norm: 6.5703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3979 loss: 2.3979 2022/07/27 20:02:04 - mmengine - INFO - Epoch(train) [64][2600/3757] lr: 7.2700e-03 eta: 2 days, 0:10:14 time: 0.4062 data_time: 0.0163 memory: 17007 grad_norm: 6.3487 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0395 loss: 2.0395 2022/07/27 20:02:12 - mmengine - INFO - Epoch(train) [64][2620/3757] lr: 7.2700e-03 eta: 2 days, 0:10:06 time: 0.3924 data_time: 0.0134 memory: 17007 grad_norm: 6.1734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2425 loss: 2.2425 2022/07/27 20:02:20 - mmengine - INFO - Epoch(train) [64][2640/3757] lr: 7.2700e-03 eta: 2 days, 0:09:58 time: 0.3974 data_time: 0.0163 memory: 17007 grad_norm: 6.3560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1465 loss: 2.1465 2022/07/27 20:02:27 - mmengine - INFO - Epoch(train) [64][2660/3757] lr: 7.2700e-03 eta: 2 days, 0:09:50 time: 0.3926 data_time: 0.0126 memory: 17007 grad_norm: 6.3295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2839 loss: 2.2839 2022/07/27 20:02:35 - mmengine - INFO - Epoch(train) [64][2680/3757] lr: 7.2700e-03 eta: 2 days, 0:09:42 time: 0.3945 data_time: 0.0166 memory: 17007 grad_norm: 6.3339 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0817 loss: 2.0817 2022/07/27 20:02:43 - mmengine - INFO - Epoch(train) [64][2700/3757] lr: 7.2700e-03 eta: 2 days, 0:09:34 time: 0.3982 data_time: 0.0132 memory: 17007 grad_norm: 6.5805 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1834 loss: 2.1834 2022/07/27 20:02:51 - mmengine - INFO - Epoch(train) [64][2720/3757] lr: 7.2700e-03 eta: 2 days, 0:09:26 time: 0.3958 data_time: 0.0168 memory: 17007 grad_norm: 6.3689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0062 loss: 2.0062 2022/07/27 20:02:59 - mmengine - INFO - Epoch(train) [64][2740/3757] lr: 7.2700e-03 eta: 2 days, 0:09:18 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 6.5167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6305 loss: 2.6305 2022/07/27 20:03:07 - mmengine - INFO - Epoch(train) [64][2760/3757] lr: 7.2700e-03 eta: 2 days, 0:09:10 time: 0.3934 data_time: 0.0143 memory: 17007 grad_norm: 6.3479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6617 loss: 2.6617 2022/07/27 20:03:15 - mmengine - INFO - Epoch(train) [64][2780/3757] lr: 7.2700e-03 eta: 2 days, 0:09:02 time: 0.3929 data_time: 0.0141 memory: 17007 grad_norm: 6.4391 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1459 loss: 2.1459 2022/07/27 20:03:23 - mmengine - INFO - Epoch(train) [64][2800/3757] lr: 7.2700e-03 eta: 2 days, 0:08:55 time: 0.4246 data_time: 0.0186 memory: 17007 grad_norm: 6.4454 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4308 loss: 2.4308 2022/07/27 20:03:31 - mmengine - INFO - Epoch(train) [64][2820/3757] lr: 7.2700e-03 eta: 2 days, 0:08:47 time: 0.3943 data_time: 0.0132 memory: 17007 grad_norm: 6.2515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0799 loss: 2.0799 2022/07/27 20:03:39 - mmengine - INFO - Epoch(train) [64][2840/3757] lr: 7.2700e-03 eta: 2 days, 0:08:40 time: 0.4025 data_time: 0.0148 memory: 17007 grad_norm: 6.4717 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1591 loss: 2.1591 2022/07/27 20:03:47 - mmengine - INFO - Epoch(train) [64][2860/3757] lr: 7.2700e-03 eta: 2 days, 0:08:31 time: 0.3926 data_time: 0.0134 memory: 17007 grad_norm: 6.3178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9242 loss: 1.9242 2022/07/27 20:03:55 - mmengine - INFO - Epoch(train) [64][2880/3757] lr: 7.2700e-03 eta: 2 days, 0:08:23 time: 0.3961 data_time: 0.0151 memory: 17007 grad_norm: 6.3964 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2532 loss: 2.2532 2022/07/27 20:04:03 - mmengine - INFO - Epoch(train) [64][2900/3757] lr: 7.2700e-03 eta: 2 days, 0:08:15 time: 0.3931 data_time: 0.0133 memory: 17007 grad_norm: 6.3245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3144 loss: 2.3144 2022/07/27 20:04:11 - mmengine - INFO - Epoch(train) [64][2920/3757] lr: 7.2700e-03 eta: 2 days, 0:08:07 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 6.5328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0019 loss: 2.0019 2022/07/27 20:04:19 - mmengine - INFO - Epoch(train) [64][2940/3757] lr: 7.2700e-03 eta: 2 days, 0:07:59 time: 0.3918 data_time: 0.0131 memory: 17007 grad_norm: 6.0687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4160 loss: 2.4160 2022/07/27 20:04:27 - mmengine - INFO - Epoch(train) [64][2960/3757] lr: 7.2700e-03 eta: 2 days, 0:07:51 time: 0.3975 data_time: 0.0159 memory: 17007 grad_norm: 6.4005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2854 loss: 2.2854 2022/07/27 20:04:35 - mmengine - INFO - Epoch(train) [64][2980/3757] lr: 7.2700e-03 eta: 2 days, 0:07:43 time: 0.3940 data_time: 0.0136 memory: 17007 grad_norm: 6.3866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4279 loss: 2.4279 2022/07/27 20:04:42 - mmengine - INFO - Epoch(train) [64][3000/3757] lr: 7.2700e-03 eta: 2 days, 0:07:35 time: 0.3977 data_time: 0.0164 memory: 17007 grad_norm: 6.3493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2612 loss: 2.2612 2022/07/27 20:04:50 - mmengine - INFO - Epoch(train) [64][3020/3757] lr: 7.2700e-03 eta: 2 days, 0:07:27 time: 0.3930 data_time: 0.0133 memory: 17007 grad_norm: 6.3732 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1920 loss: 2.1920 2022/07/27 20:04:58 - mmengine - INFO - Epoch(train) [64][3040/3757] lr: 7.2700e-03 eta: 2 days, 0:07:19 time: 0.3920 data_time: 0.0148 memory: 17007 grad_norm: 6.3991 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1141 loss: 2.1141 2022/07/27 20:05:06 - mmengine - INFO - Epoch(train) [64][3060/3757] lr: 7.2700e-03 eta: 2 days, 0:07:11 time: 0.3971 data_time: 0.0134 memory: 17007 grad_norm: 6.4928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3223 loss: 2.3223 2022/07/27 20:05:14 - mmengine - INFO - Epoch(train) [64][3080/3757] lr: 7.2700e-03 eta: 2 days, 0:07:03 time: 0.3950 data_time: 0.0172 memory: 17007 grad_norm: 6.5053 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2260 loss: 2.2260 2022/07/27 20:05:22 - mmengine - INFO - Epoch(train) [64][3100/3757] lr: 7.2700e-03 eta: 2 days, 0:06:55 time: 0.3957 data_time: 0.0141 memory: 17007 grad_norm: 6.9551 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2020 loss: 2.2020 2022/07/27 20:05:30 - mmengine - INFO - Epoch(train) [64][3120/3757] lr: 7.2700e-03 eta: 2 days, 0:06:47 time: 0.3954 data_time: 0.0166 memory: 17007 grad_norm: 6.4323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5427 loss: 2.5427 2022/07/27 20:05:38 - mmengine - INFO - Epoch(train) [64][3140/3757] lr: 7.2700e-03 eta: 2 days, 0:06:39 time: 0.3923 data_time: 0.0131 memory: 17007 grad_norm: 6.3991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3279 loss: 2.3279 2022/07/27 20:05:46 - mmengine - INFO - Epoch(train) [64][3160/3757] lr: 7.2700e-03 eta: 2 days, 0:06:31 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 6.3972 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1957 loss: 2.1957 2022/07/27 20:05:53 - mmengine - INFO - Epoch(train) [64][3180/3757] lr: 7.2700e-03 eta: 2 days, 0:06:23 time: 0.3934 data_time: 0.0135 memory: 17007 grad_norm: 6.4492 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5958 loss: 2.5958 2022/07/27 20:06:01 - mmengine - INFO - Epoch(train) [64][3200/3757] lr: 7.2700e-03 eta: 2 days, 0:06:15 time: 0.3971 data_time: 0.0167 memory: 17007 grad_norm: 6.4630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2821 loss: 2.2821 2022/07/27 20:06:09 - mmengine - INFO - Epoch(train) [64][3220/3757] lr: 7.2700e-03 eta: 2 days, 0:06:07 time: 0.3924 data_time: 0.0135 memory: 17007 grad_norm: 6.2763 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2372 loss: 2.2372 2022/07/27 20:06:17 - mmengine - INFO - Epoch(train) [64][3240/3757] lr: 7.2700e-03 eta: 2 days, 0:05:59 time: 0.3918 data_time: 0.0151 memory: 17007 grad_norm: 6.5439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2031 loss: 2.2031 2022/07/27 20:06:25 - mmengine - INFO - Epoch(train) [64][3260/3757] lr: 7.2700e-03 eta: 2 days, 0:05:51 time: 0.3993 data_time: 0.0144 memory: 17007 grad_norm: 6.3805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0964 loss: 2.0964 2022/07/27 20:06:33 - mmengine - INFO - Epoch(train) [64][3280/3757] lr: 7.2700e-03 eta: 2 days, 0:05:43 time: 0.4025 data_time: 0.0255 memory: 17007 grad_norm: 6.5098 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1046 loss: 2.1046 2022/07/27 20:06:41 - mmengine - INFO - Epoch(train) [64][3300/3757] lr: 7.2700e-03 eta: 2 days, 0:05:35 time: 0.3954 data_time: 0.0135 memory: 17007 grad_norm: 6.4200 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2402 loss: 2.2402 2022/07/27 20:06:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:06:49 - mmengine - INFO - Epoch(train) [64][3320/3757] lr: 7.2700e-03 eta: 2 days, 0:05:27 time: 0.3922 data_time: 0.0152 memory: 17007 grad_norm: 6.4792 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4581 loss: 2.4581 2022/07/27 20:06:57 - mmengine - INFO - Epoch(train) [64][3340/3757] lr: 7.2700e-03 eta: 2 days, 0:05:19 time: 0.3969 data_time: 0.0129 memory: 17007 grad_norm: 6.6415 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1527 loss: 2.1527 2022/07/27 20:07:05 - mmengine - INFO - Epoch(train) [64][3360/3757] lr: 7.2700e-03 eta: 2 days, 0:05:12 time: 0.4093 data_time: 0.0165 memory: 17007 grad_norm: 6.6374 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4745 loss: 2.4745 2022/07/27 20:07:13 - mmengine - INFO - Epoch(train) [64][3380/3757] lr: 7.2700e-03 eta: 2 days, 0:05:04 time: 0.3968 data_time: 0.0158 memory: 17007 grad_norm: 6.3641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2438 loss: 2.2438 2022/07/27 20:07:22 - mmengine - INFO - Epoch(train) [64][3400/3757] lr: 7.2700e-03 eta: 2 days, 0:04:57 time: 0.4259 data_time: 0.0163 memory: 17007 grad_norm: 6.3336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9030 loss: 1.9030 2022/07/27 20:07:30 - mmengine - INFO - Epoch(train) [64][3420/3757] lr: 7.2700e-03 eta: 2 days, 0:04:49 time: 0.3981 data_time: 0.0149 memory: 17007 grad_norm: 6.4182 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5730 loss: 2.5730 2022/07/27 20:07:37 - mmengine - INFO - Epoch(train) [64][3440/3757] lr: 7.2700e-03 eta: 2 days, 0:04:41 time: 0.3930 data_time: 0.0153 memory: 17007 grad_norm: 6.3218 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8922 loss: 1.8922 2022/07/27 20:07:45 - mmengine - INFO - Epoch(train) [64][3460/3757] lr: 7.2700e-03 eta: 2 days, 0:04:33 time: 0.3942 data_time: 0.0143 memory: 17007 grad_norm: 6.4404 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2695 loss: 2.2695 2022/07/27 20:07:53 - mmengine - INFO - Epoch(train) [64][3480/3757] lr: 7.2700e-03 eta: 2 days, 0:04:25 time: 0.3963 data_time: 0.0161 memory: 17007 grad_norm: 6.4586 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3292 loss: 2.3292 2022/07/27 20:08:01 - mmengine - INFO - Epoch(train) [64][3500/3757] lr: 7.2700e-03 eta: 2 days, 0:04:17 time: 0.4047 data_time: 0.0137 memory: 17007 grad_norm: 6.4108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0515 loss: 2.0515 2022/07/27 20:08:09 - mmengine - INFO - Epoch(train) [64][3520/3757] lr: 7.2700e-03 eta: 2 days, 0:04:09 time: 0.3931 data_time: 0.0154 memory: 17007 grad_norm: 6.5075 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1801 loss: 2.1801 2022/07/27 20:08:17 - mmengine - INFO - Epoch(train) [64][3540/3757] lr: 7.2700e-03 eta: 2 days, 0:04:01 time: 0.3929 data_time: 0.0148 memory: 17007 grad_norm: 6.3868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4114 loss: 2.4114 2022/07/27 20:08:25 - mmengine - INFO - Epoch(train) [64][3560/3757] lr: 7.2700e-03 eta: 2 days, 0:03:53 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 6.3967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9829 loss: 1.9829 2022/07/27 20:08:33 - mmengine - INFO - Epoch(train) [64][3580/3757] lr: 7.2700e-03 eta: 2 days, 0:03:45 time: 0.3947 data_time: 0.0135 memory: 17007 grad_norm: 6.3334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1870 loss: 2.1870 2022/07/27 20:08:41 - mmengine - INFO - Epoch(train) [64][3600/3757] lr: 7.2700e-03 eta: 2 days, 0:03:38 time: 0.4185 data_time: 0.0174 memory: 17007 grad_norm: 6.4340 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2608 loss: 2.2608 2022/07/27 20:08:49 - mmengine - INFO - Epoch(train) [64][3620/3757] lr: 7.2700e-03 eta: 2 days, 0:03:30 time: 0.3924 data_time: 0.0135 memory: 17007 grad_norm: 6.6786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1441 loss: 2.1441 2022/07/27 20:08:57 - mmengine - INFO - Epoch(train) [64][3640/3757] lr: 7.2700e-03 eta: 2 days, 0:03:22 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 6.6281 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5411 loss: 2.5411 2022/07/27 20:09:05 - mmengine - INFO - Epoch(train) [64][3660/3757] lr: 7.2700e-03 eta: 2 days, 0:03:15 time: 0.4196 data_time: 0.0153 memory: 17007 grad_norm: 6.4777 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0522 loss: 2.0522 2022/07/27 20:09:13 - mmengine - INFO - Epoch(train) [64][3680/3757] lr: 7.2700e-03 eta: 2 days, 0:03:07 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 6.2956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2257 loss: 2.2257 2022/07/27 20:09:21 - mmengine - INFO - Epoch(train) [64][3700/3757] lr: 7.2700e-03 eta: 2 days, 0:02:59 time: 0.4030 data_time: 0.0149 memory: 17007 grad_norm: 6.2770 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3572 loss: 2.3572 2022/07/27 20:09:29 - mmengine - INFO - Epoch(train) [64][3720/3757] lr: 7.2700e-03 eta: 2 days, 0:02:51 time: 0.3943 data_time: 0.0161 memory: 17007 grad_norm: 6.3801 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1564 loss: 2.1564 2022/07/27 20:09:37 - mmengine - INFO - Epoch(train) [64][3740/3757] lr: 7.2700e-03 eta: 2 days, 0:02:43 time: 0.3946 data_time: 0.0132 memory: 17007 grad_norm: 6.3517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2620 loss: 2.2620 2022/07/27 20:09:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:09:44 - mmengine - INFO - Epoch(train) [64][3757/3757] lr: 7.2700e-03 eta: 2 days, 0:02:43 time: 0.4161 data_time: 0.0162 memory: 17007 grad_norm: 6.5269 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.3922 loss: 2.3922 2022/07/27 20:09:44 - mmengine - INFO - Saving checkpoint at 64 epochs 2022/07/27 20:09:55 - mmengine - INFO - Epoch(train) [65][20/3757] lr: 7.1919e-03 eta: 2 days, 0:02:18 time: 0.4532 data_time: 0.0733 memory: 17007 grad_norm: 6.3400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5092 loss: 2.5092 2022/07/27 20:10:03 - mmengine - INFO - Epoch(train) [65][40/3757] lr: 7.1919e-03 eta: 2 days, 0:02:10 time: 0.3969 data_time: 0.0168 memory: 17007 grad_norm: 6.6243 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2572 loss: 2.2572 2022/07/27 20:10:11 - mmengine - INFO - Epoch(train) [65][60/3757] lr: 7.1919e-03 eta: 2 days, 0:02:02 time: 0.3917 data_time: 0.0139 memory: 17007 grad_norm: 6.5609 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2519 loss: 2.2519 2022/07/27 20:10:19 - mmengine - INFO - Epoch(train) [65][80/3757] lr: 7.1919e-03 eta: 2 days, 0:01:54 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 6.4733 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3330 loss: 2.3330 2022/07/27 20:10:27 - mmengine - INFO - Epoch(train) [65][100/3757] lr: 7.1919e-03 eta: 2 days, 0:01:46 time: 0.4001 data_time: 0.0166 memory: 17007 grad_norm: 6.4030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2330 loss: 2.2330 2022/07/27 20:10:35 - mmengine - INFO - Epoch(train) [65][120/3757] lr: 7.1919e-03 eta: 2 days, 0:01:38 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 6.4316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2685 loss: 2.2685 2022/07/27 20:10:43 - mmengine - INFO - Epoch(train) [65][140/3757] lr: 7.1919e-03 eta: 2 days, 0:01:30 time: 0.3943 data_time: 0.0140 memory: 17007 grad_norm: 6.4260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2451 loss: 2.2451 2022/07/27 20:10:51 - mmengine - INFO - Epoch(train) [65][160/3757] lr: 7.1919e-03 eta: 2 days, 0:01:22 time: 0.3926 data_time: 0.0158 memory: 17007 grad_norm: 6.4705 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2207 loss: 2.2207 2022/07/27 20:10:59 - mmengine - INFO - Epoch(train) [65][180/3757] lr: 7.1919e-03 eta: 2 days, 0:01:14 time: 0.3922 data_time: 0.0144 memory: 17007 grad_norm: 6.3870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0090 loss: 2.0090 2022/07/27 20:11:07 - mmengine - INFO - Epoch(train) [65][200/3757] lr: 7.1919e-03 eta: 2 days, 0:01:06 time: 0.4038 data_time: 0.0160 memory: 17007 grad_norm: 6.5783 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3118 loss: 2.3118 2022/07/27 20:11:15 - mmengine - INFO - Epoch(train) [65][220/3757] lr: 7.1919e-03 eta: 2 days, 0:00:58 time: 0.3959 data_time: 0.0156 memory: 17007 grad_norm: 6.6698 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9529 loss: 1.9529 2022/07/27 20:11:23 - mmengine - INFO - Epoch(train) [65][240/3757] lr: 7.1919e-03 eta: 2 days, 0:00:51 time: 0.4089 data_time: 0.0135 memory: 17007 grad_norm: 6.1897 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1294 loss: 2.1294 2022/07/27 20:11:31 - mmengine - INFO - Epoch(train) [65][260/3757] lr: 7.1919e-03 eta: 2 days, 0:00:43 time: 0.3985 data_time: 0.0159 memory: 17007 grad_norm: 6.6496 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1764 loss: 2.1764 2022/07/27 20:11:39 - mmengine - INFO - Epoch(train) [65][280/3757] lr: 7.1919e-03 eta: 2 days, 0:00:35 time: 0.3936 data_time: 0.0166 memory: 17007 grad_norm: 6.2157 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1036 loss: 2.1036 2022/07/27 20:11:47 - mmengine - INFO - Epoch(train) [65][300/3757] lr: 7.1919e-03 eta: 2 days, 0:00:27 time: 0.4051 data_time: 0.0138 memory: 17007 grad_norm: 6.4817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2366 loss: 2.2366 2022/07/27 20:11:55 - mmengine - INFO - Epoch(train) [65][320/3757] lr: 7.1919e-03 eta: 2 days, 0:00:19 time: 0.3939 data_time: 0.0161 memory: 17007 grad_norm: 6.5209 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4811 loss: 2.4811 2022/07/27 20:12:03 - mmengine - INFO - Epoch(train) [65][340/3757] lr: 7.1919e-03 eta: 2 days, 0:00:11 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 6.4026 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1471 loss: 2.1471 2022/07/27 20:12:10 - mmengine - INFO - Epoch(train) [65][360/3757] lr: 7.1919e-03 eta: 2 days, 0:00:03 time: 0.3957 data_time: 0.0164 memory: 17007 grad_norm: 6.3706 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3848 loss: 2.3848 2022/07/27 20:12:18 - mmengine - INFO - Epoch(train) [65][380/3757] lr: 7.1919e-03 eta: 1 day, 23:59:55 time: 0.3923 data_time: 0.0149 memory: 17007 grad_norm: 6.4698 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1699 loss: 2.1699 2022/07/27 20:12:26 - mmengine - INFO - Epoch(train) [65][400/3757] lr: 7.1919e-03 eta: 1 day, 23:59:47 time: 0.4007 data_time: 0.0153 memory: 17007 grad_norm: 6.1582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9440 loss: 1.9440 2022/07/27 20:12:34 - mmengine - INFO - Epoch(train) [65][420/3757] lr: 7.1919e-03 eta: 1 day, 23:59:39 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 6.3796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2215 loss: 2.2215 2022/07/27 20:12:42 - mmengine - INFO - Epoch(train) [65][440/3757] lr: 7.1919e-03 eta: 1 day, 23:59:31 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 6.3663 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1138 loss: 2.1138 2022/07/27 20:12:50 - mmengine - INFO - Epoch(train) [65][460/3757] lr: 7.1919e-03 eta: 1 day, 23:59:23 time: 0.3928 data_time: 0.0145 memory: 17007 grad_norm: 6.4527 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3147 loss: 2.3147 2022/07/27 20:12:58 - mmengine - INFO - Epoch(train) [65][480/3757] lr: 7.1919e-03 eta: 1 day, 23:59:15 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 6.2372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1105 loss: 2.1105 2022/07/27 20:13:06 - mmengine - INFO - Epoch(train) [65][500/3757] lr: 7.1919e-03 eta: 1 day, 23:59:08 time: 0.4025 data_time: 0.0157 memory: 17007 grad_norm: 6.3652 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2523 loss: 2.2523 2022/07/27 20:13:14 - mmengine - INFO - Epoch(train) [65][520/3757] lr: 7.1919e-03 eta: 1 day, 23:58:59 time: 0.3947 data_time: 0.0159 memory: 17007 grad_norm: 6.6633 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3370 loss: 2.3370 2022/07/27 20:13:22 - mmengine - INFO - Epoch(train) [65][540/3757] lr: 7.1919e-03 eta: 1 day, 23:58:51 time: 0.3948 data_time: 0.0147 memory: 17007 grad_norm: 6.3756 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1942 loss: 2.1942 2022/07/27 20:13:27 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:13:30 - mmengine - INFO - Epoch(train) [65][560/3757] lr: 7.1919e-03 eta: 1 day, 23:58:43 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.3333 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1827 loss: 2.1827 2022/07/27 20:13:38 - mmengine - INFO - Epoch(train) [65][580/3757] lr: 7.1919e-03 eta: 1 day, 23:58:36 time: 0.3984 data_time: 0.0157 memory: 17007 grad_norm: 6.8139 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2318 loss: 2.2318 2022/07/27 20:13:46 - mmengine - INFO - Epoch(train) [65][600/3757] lr: 7.1919e-03 eta: 1 day, 23:58:28 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 6.4139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1010 loss: 2.1010 2022/07/27 20:13:53 - mmengine - INFO - Epoch(train) [65][620/3757] lr: 7.1919e-03 eta: 1 day, 23:58:20 time: 0.3958 data_time: 0.0160 memory: 17007 grad_norm: 6.3395 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2815 loss: 2.2815 2022/07/27 20:14:01 - mmengine - INFO - Epoch(train) [65][640/3757] lr: 7.1919e-03 eta: 1 day, 23:58:12 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 6.5636 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5492 loss: 2.5492 2022/07/27 20:14:09 - mmengine - INFO - Epoch(train) [65][660/3757] lr: 7.1919e-03 eta: 1 day, 23:58:03 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 6.3362 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0987 loss: 2.0987 2022/07/27 20:14:17 - mmengine - INFO - Epoch(train) [65][680/3757] lr: 7.1919e-03 eta: 1 day, 23:57:56 time: 0.3976 data_time: 0.0159 memory: 17007 grad_norm: 6.4665 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2855 loss: 2.2855 2022/07/27 20:14:25 - mmengine - INFO - Epoch(train) [65][700/3757] lr: 7.1919e-03 eta: 1 day, 23:57:48 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 6.7424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9565 loss: 1.9565 2022/07/27 20:14:33 - mmengine - INFO - Epoch(train) [65][720/3757] lr: 7.1919e-03 eta: 1 day, 23:57:40 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 6.4272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4931 loss: 2.4931 2022/07/27 20:14:41 - mmengine - INFO - Epoch(train) [65][740/3757] lr: 7.1919e-03 eta: 1 day, 23:57:31 time: 0.3922 data_time: 0.0141 memory: 17007 grad_norm: 6.4819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0994 loss: 2.0994 2022/07/27 20:14:49 - mmengine - INFO - Epoch(train) [65][760/3757] lr: 7.1919e-03 eta: 1 day, 23:57:23 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 6.4634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2647 loss: 2.2647 2022/07/27 20:14:57 - mmengine - INFO - Epoch(train) [65][780/3757] lr: 7.1919e-03 eta: 1 day, 23:57:16 time: 0.4025 data_time: 0.0149 memory: 17007 grad_norm: 6.5512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2783 loss: 2.2783 2022/07/27 20:15:05 - mmengine - INFO - Epoch(train) [65][800/3757] lr: 7.1919e-03 eta: 1 day, 23:57:08 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 6.3732 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2025 loss: 2.2025 2022/07/27 20:15:13 - mmengine - INFO - Epoch(train) [65][820/3757] lr: 7.1919e-03 eta: 1 day, 23:57:01 time: 0.4301 data_time: 0.0159 memory: 17007 grad_norm: 6.3837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3134 loss: 2.3134 2022/07/27 20:15:21 - mmengine - INFO - Epoch(train) [65][840/3757] lr: 7.1919e-03 eta: 1 day, 23:56:53 time: 0.3937 data_time: 0.0159 memory: 17007 grad_norm: 6.4235 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2085 loss: 2.2085 2022/07/27 20:15:29 - mmengine - INFO - Epoch(train) [65][860/3757] lr: 7.1919e-03 eta: 1 day, 23:56:45 time: 0.3920 data_time: 0.0143 memory: 17007 grad_norm: 6.5612 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3198 loss: 2.3198 2022/07/27 20:15:37 - mmengine - INFO - Epoch(train) [65][880/3757] lr: 7.1919e-03 eta: 1 day, 23:56:37 time: 0.4135 data_time: 0.0161 memory: 17007 grad_norm: 6.7112 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2124 loss: 2.2124 2022/07/27 20:15:45 - mmengine - INFO - Epoch(train) [65][900/3757] lr: 7.1919e-03 eta: 1 day, 23:56:29 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 6.4685 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1497 loss: 2.1497 2022/07/27 20:15:53 - mmengine - INFO - Epoch(train) [65][920/3757] lr: 7.1919e-03 eta: 1 day, 23:56:21 time: 0.3985 data_time: 0.0158 memory: 17007 grad_norm: 6.4409 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0648 loss: 2.0648 2022/07/27 20:16:01 - mmengine - INFO - Epoch(train) [65][940/3757] lr: 7.1919e-03 eta: 1 day, 23:56:13 time: 0.3946 data_time: 0.0146 memory: 17007 grad_norm: 6.4014 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0097 loss: 2.0097 2022/07/27 20:16:09 - mmengine - INFO - Epoch(train) [65][960/3757] lr: 7.1919e-03 eta: 1 day, 23:56:05 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 6.5685 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2767 loss: 2.2767 2022/07/27 20:16:17 - mmengine - INFO - Epoch(train) [65][980/3757] lr: 7.1919e-03 eta: 1 day, 23:55:58 time: 0.3993 data_time: 0.0154 memory: 17007 grad_norm: 6.4790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4343 loss: 2.4343 2022/07/27 20:16:25 - mmengine - INFO - Epoch(train) [65][1000/3757] lr: 7.1919e-03 eta: 1 day, 23:55:50 time: 0.4006 data_time: 0.0158 memory: 17007 grad_norm: 6.1955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9438 loss: 1.9438 2022/07/27 20:16:33 - mmengine - INFO - Epoch(train) [65][1020/3757] lr: 7.1919e-03 eta: 1 day, 23:55:42 time: 0.4029 data_time: 0.0156 memory: 17007 grad_norm: 6.5018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0866 loss: 2.0866 2022/07/27 20:16:41 - mmengine - INFO - Epoch(train) [65][1040/3757] lr: 7.1919e-03 eta: 1 day, 23:55:34 time: 0.3969 data_time: 0.0153 memory: 17007 grad_norm: 6.4424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0136 loss: 2.0136 2022/07/27 20:16:49 - mmengine - INFO - Epoch(train) [65][1060/3757] lr: 7.1919e-03 eta: 1 day, 23:55:26 time: 0.3914 data_time: 0.0138 memory: 17007 grad_norm: 6.2868 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2089 loss: 2.2089 2022/07/27 20:16:57 - mmengine - INFO - Epoch(train) [65][1080/3757] lr: 7.1919e-03 eta: 1 day, 23:55:18 time: 0.4012 data_time: 0.0166 memory: 17007 grad_norm: 6.4720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1381 loss: 2.1381 2022/07/27 20:17:05 - mmengine - INFO - Epoch(train) [65][1100/3757] lr: 7.1919e-03 eta: 1 day, 23:55:10 time: 0.3987 data_time: 0.0145 memory: 17007 grad_norm: 6.5590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0998 loss: 2.0998 2022/07/27 20:17:13 - mmengine - INFO - Epoch(train) [65][1120/3757] lr: 7.1919e-03 eta: 1 day, 23:55:03 time: 0.3999 data_time: 0.0163 memory: 17007 grad_norm: 6.5757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3460 loss: 2.3460 2022/07/27 20:17:21 - mmengine - INFO - Epoch(train) [65][1140/3757] lr: 7.1919e-03 eta: 1 day, 23:54:55 time: 0.3959 data_time: 0.0141 memory: 17007 grad_norm: 6.7094 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5070 loss: 2.5070 2022/07/27 20:17:29 - mmengine - INFO - Epoch(train) [65][1160/3757] lr: 7.1919e-03 eta: 1 day, 23:54:46 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 6.3375 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1910 loss: 2.1910 2022/07/27 20:17:37 - mmengine - INFO - Epoch(train) [65][1180/3757] lr: 7.1919e-03 eta: 1 day, 23:54:39 time: 0.3967 data_time: 0.0155 memory: 17007 grad_norm: 6.2686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8918 loss: 1.8918 2022/07/27 20:17:44 - mmengine - INFO - Epoch(train) [65][1200/3757] lr: 7.1919e-03 eta: 1 day, 23:54:31 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 6.4451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8953 loss: 1.8953 2022/07/27 20:17:52 - mmengine - INFO - Epoch(train) [65][1220/3757] lr: 7.1919e-03 eta: 1 day, 23:54:22 time: 0.3947 data_time: 0.0160 memory: 17007 grad_norm: 6.4690 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9292 loss: 1.9292 2022/07/27 20:18:00 - mmengine - INFO - Epoch(train) [65][1240/3757] lr: 7.1919e-03 eta: 1 day, 23:54:14 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 6.4756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0912 loss: 2.0912 2022/07/27 20:18:08 - mmengine - INFO - Epoch(train) [65][1260/3757] lr: 7.1919e-03 eta: 1 day, 23:54:06 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 6.3297 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3428 loss: 2.3428 2022/07/27 20:18:16 - mmengine - INFO - Epoch(train) [65][1280/3757] lr: 7.1919e-03 eta: 1 day, 23:53:59 time: 0.4005 data_time: 0.0168 memory: 17007 grad_norm: 6.6108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1562 loss: 2.1562 2022/07/27 20:18:24 - mmengine - INFO - Epoch(train) [65][1300/3757] lr: 7.1919e-03 eta: 1 day, 23:53:51 time: 0.3927 data_time: 0.0139 memory: 17007 grad_norm: 6.5412 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2702 loss: 2.2702 2022/07/27 20:18:32 - mmengine - INFO - Epoch(train) [65][1320/3757] lr: 7.1919e-03 eta: 1 day, 23:53:42 time: 0.3945 data_time: 0.0163 memory: 17007 grad_norm: 6.3189 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1474 loss: 2.1474 2022/07/27 20:18:40 - mmengine - INFO - Epoch(train) [65][1340/3757] lr: 7.1919e-03 eta: 1 day, 23:53:34 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 6.3155 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1071 loss: 2.1071 2022/07/27 20:18:48 - mmengine - INFO - Epoch(train) [65][1360/3757] lr: 7.1919e-03 eta: 1 day, 23:53:26 time: 0.3919 data_time: 0.0142 memory: 17007 grad_norm: 6.6308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1417 loss: 2.1417 2022/07/27 20:18:56 - mmengine - INFO - Epoch(train) [65][1380/3757] lr: 7.1919e-03 eta: 1 day, 23:53:18 time: 0.3973 data_time: 0.0141 memory: 17007 grad_norm: 6.5028 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5330 loss: 2.5330 2022/07/27 20:19:03 - mmengine - INFO - Epoch(train) [65][1400/3757] lr: 7.1919e-03 eta: 1 day, 23:53:10 time: 0.3947 data_time: 0.0150 memory: 17007 grad_norm: 6.5032 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2550 loss: 2.2550 2022/07/27 20:19:12 - mmengine - INFO - Epoch(train) [65][1420/3757] lr: 7.1919e-03 eta: 1 day, 23:53:03 time: 0.4004 data_time: 0.0161 memory: 17007 grad_norm: 6.4043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5144 loss: 2.5144 2022/07/27 20:19:19 - mmengine - INFO - Epoch(train) [65][1440/3757] lr: 7.1919e-03 eta: 1 day, 23:52:54 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 6.3579 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0457 loss: 2.0457 2022/07/27 20:19:27 - mmengine - INFO - Epoch(train) [65][1460/3757] lr: 7.1919e-03 eta: 1 day, 23:52:46 time: 0.3947 data_time: 0.0143 memory: 17007 grad_norm: 6.6428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0420 loss: 2.0420 2022/07/27 20:19:35 - mmengine - INFO - Epoch(train) [65][1480/3757] lr: 7.1919e-03 eta: 1 day, 23:52:39 time: 0.3975 data_time: 0.0164 memory: 17007 grad_norm: 6.5310 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5242 loss: 2.5242 2022/07/27 20:19:43 - mmengine - INFO - Epoch(train) [65][1500/3757] lr: 7.1919e-03 eta: 1 day, 23:52:30 time: 0.3918 data_time: 0.0152 memory: 17007 grad_norm: 6.2324 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2197 loss: 2.2197 2022/07/27 20:19:51 - mmengine - INFO - Epoch(train) [65][1520/3757] lr: 7.1919e-03 eta: 1 day, 23:52:22 time: 0.3963 data_time: 0.0162 memory: 17007 grad_norm: 6.4067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0966 loss: 2.0966 2022/07/27 20:19:59 - mmengine - INFO - Epoch(train) [65][1540/3757] lr: 7.1919e-03 eta: 1 day, 23:52:14 time: 0.3927 data_time: 0.0141 memory: 17007 grad_norm: 6.5560 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3797 loss: 2.3797 2022/07/27 20:20:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:20:07 - mmengine - INFO - Epoch(train) [65][1560/3757] lr: 7.1919e-03 eta: 1 day, 23:52:06 time: 0.3953 data_time: 0.0154 memory: 17007 grad_norm: 6.5466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3740 loss: 2.3740 2022/07/27 20:20:15 - mmengine - INFO - Epoch(train) [65][1580/3757] lr: 7.1919e-03 eta: 1 day, 23:51:58 time: 0.3972 data_time: 0.0152 memory: 17007 grad_norm: 6.5560 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.9056 loss: 1.9056 2022/07/27 20:20:23 - mmengine - INFO - Epoch(train) [65][1600/3757] lr: 7.1919e-03 eta: 1 day, 23:51:50 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 6.5933 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2776 loss: 2.2776 2022/07/27 20:20:31 - mmengine - INFO - Epoch(train) [65][1620/3757] lr: 7.1919e-03 eta: 1 day, 23:51:42 time: 0.3961 data_time: 0.0147 memory: 17007 grad_norm: 6.2503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1443 loss: 2.1443 2022/07/27 20:20:38 - mmengine - INFO - Epoch(train) [65][1640/3757] lr: 7.1919e-03 eta: 1 day, 23:51:34 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 6.3230 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1824 loss: 2.1824 2022/07/27 20:20:46 - mmengine - INFO - Epoch(train) [65][1660/3757] lr: 7.1919e-03 eta: 1 day, 23:51:26 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 6.6795 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1922 loss: 2.1922 2022/07/27 20:20:54 - mmengine - INFO - Epoch(train) [65][1680/3757] lr: 7.1919e-03 eta: 1 day, 23:51:18 time: 0.3954 data_time: 0.0166 memory: 17007 grad_norm: 6.4773 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2329 loss: 2.2329 2022/07/27 20:21:02 - mmengine - INFO - Epoch(train) [65][1700/3757] lr: 7.1919e-03 eta: 1 day, 23:51:10 time: 0.3930 data_time: 0.0143 memory: 17007 grad_norm: 6.4008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2496 loss: 2.2496 2022/07/27 20:21:10 - mmengine - INFO - Epoch(train) [65][1720/3757] lr: 7.1919e-03 eta: 1 day, 23:51:02 time: 0.3936 data_time: 0.0159 memory: 17007 grad_norm: 6.5221 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3546 loss: 2.3546 2022/07/27 20:21:18 - mmengine - INFO - Epoch(train) [65][1740/3757] lr: 7.1919e-03 eta: 1 day, 23:50:54 time: 0.3944 data_time: 0.0147 memory: 17007 grad_norm: 6.3352 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3681 loss: 2.3681 2022/07/27 20:21:26 - mmengine - INFO - Epoch(train) [65][1760/3757] lr: 7.1919e-03 eta: 1 day, 23:50:47 time: 0.4124 data_time: 0.0193 memory: 17007 grad_norm: 6.4368 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1175 loss: 2.1175 2022/07/27 20:21:34 - mmengine - INFO - Epoch(train) [65][1780/3757] lr: 7.1919e-03 eta: 1 day, 23:50:39 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 6.5197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1317 loss: 2.1317 2022/07/27 20:21:42 - mmengine - INFO - Epoch(train) [65][1800/3757] lr: 7.1919e-03 eta: 1 day, 23:50:31 time: 0.3971 data_time: 0.0176 memory: 17007 grad_norm: 6.3852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3167 loss: 2.3167 2022/07/27 20:21:50 - mmengine - INFO - Epoch(train) [65][1820/3757] lr: 7.1919e-03 eta: 1 day, 23:50:23 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 6.2992 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4079 loss: 2.4079 2022/07/27 20:21:58 - mmengine - INFO - Epoch(train) [65][1840/3757] lr: 7.1919e-03 eta: 1 day, 23:50:15 time: 0.3954 data_time: 0.0148 memory: 17007 grad_norm: 6.3762 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5104 loss: 2.5104 2022/07/27 20:22:06 - mmengine - INFO - Epoch(train) [65][1860/3757] lr: 7.1919e-03 eta: 1 day, 23:50:07 time: 0.3958 data_time: 0.0178 memory: 17007 grad_norm: 6.3887 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1243 loss: 2.1243 2022/07/27 20:22:14 - mmengine - INFO - Epoch(train) [65][1880/3757] lr: 7.1919e-03 eta: 1 day, 23:49:59 time: 0.3924 data_time: 0.0148 memory: 17007 grad_norm: 6.5537 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3593 loss: 2.3593 2022/07/27 20:22:22 - mmengine - INFO - Epoch(train) [65][1900/3757] lr: 7.1919e-03 eta: 1 day, 23:49:51 time: 0.4076 data_time: 0.0162 memory: 17007 grad_norm: 6.5229 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2732 loss: 2.2732 2022/07/27 20:22:30 - mmengine - INFO - Epoch(train) [65][1920/3757] lr: 7.1919e-03 eta: 1 day, 23:49:43 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 6.3235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2047 loss: 2.2047 2022/07/27 20:22:37 - mmengine - INFO - Epoch(train) [65][1940/3757] lr: 7.1919e-03 eta: 1 day, 23:49:35 time: 0.3914 data_time: 0.0146 memory: 17007 grad_norm: 6.3766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0514 loss: 2.0514 2022/07/27 20:22:45 - mmengine - INFO - Epoch(train) [65][1960/3757] lr: 7.1919e-03 eta: 1 day, 23:49:27 time: 0.3983 data_time: 0.0179 memory: 17007 grad_norm: 6.2081 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8710 loss: 1.8710 2022/07/27 20:22:53 - mmengine - INFO - Epoch(train) [65][1980/3757] lr: 7.1919e-03 eta: 1 day, 23:49:19 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 6.6073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3495 loss: 2.3495 2022/07/27 20:23:01 - mmengine - INFO - Epoch(train) [65][2000/3757] lr: 7.1919e-03 eta: 1 day, 23:49:11 time: 0.4018 data_time: 0.0175 memory: 17007 grad_norm: 6.3382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9914 loss: 1.9914 2022/07/27 20:23:09 - mmengine - INFO - Epoch(train) [65][2020/3757] lr: 7.1919e-03 eta: 1 day, 23:49:03 time: 0.3927 data_time: 0.0142 memory: 17007 grad_norm: 6.3269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1586 loss: 2.1586 2022/07/27 20:23:17 - mmengine - INFO - Epoch(train) [65][2040/3757] lr: 7.1919e-03 eta: 1 day, 23:48:55 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 6.2696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1813 loss: 2.1813 2022/07/27 20:23:25 - mmengine - INFO - Epoch(train) [65][2060/3757] lr: 7.1919e-03 eta: 1 day, 23:48:47 time: 0.4037 data_time: 0.0163 memory: 17007 grad_norm: 6.5867 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2868 loss: 2.2868 2022/07/27 20:23:33 - mmengine - INFO - Epoch(train) [65][2080/3757] lr: 7.1919e-03 eta: 1 day, 23:48:39 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 6.5056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2732 loss: 2.2732 2022/07/27 20:23:41 - mmengine - INFO - Epoch(train) [65][2100/3757] lr: 7.1919e-03 eta: 1 day, 23:48:31 time: 0.3956 data_time: 0.0152 memory: 17007 grad_norm: 6.3132 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0733 loss: 2.0733 2022/07/27 20:23:49 - mmengine - INFO - Epoch(train) [65][2120/3757] lr: 7.1919e-03 eta: 1 day, 23:48:23 time: 0.3965 data_time: 0.0155 memory: 17007 grad_norm: 6.4807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1224 loss: 2.1224 2022/07/27 20:23:57 - mmengine - INFO - Epoch(train) [65][2140/3757] lr: 7.1919e-03 eta: 1 day, 23:48:15 time: 0.3922 data_time: 0.0145 memory: 17007 grad_norm: 6.5146 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.4287 loss: 2.4287 2022/07/27 20:24:05 - mmengine - INFO - Epoch(train) [65][2160/3757] lr: 7.1919e-03 eta: 1 day, 23:48:08 time: 0.4060 data_time: 0.0177 memory: 17007 grad_norm: 6.6502 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5107 loss: 2.5107 2022/07/27 20:24:13 - mmengine - INFO - Epoch(train) [65][2180/3757] lr: 7.1919e-03 eta: 1 day, 23:48:00 time: 0.3974 data_time: 0.0142 memory: 17007 grad_norm: 6.4532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0613 loss: 2.0613 2022/07/27 20:24:21 - mmengine - INFO - Epoch(train) [65][2200/3757] lr: 7.1919e-03 eta: 1 day, 23:47:52 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 6.2664 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4694 loss: 2.4694 2022/07/27 20:24:29 - mmengine - INFO - Epoch(train) [65][2220/3757] lr: 7.1919e-03 eta: 1 day, 23:47:44 time: 0.4072 data_time: 0.0155 memory: 17007 grad_norm: 6.4516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3749 loss: 2.3749 2022/07/27 20:24:37 - mmengine - INFO - Epoch(train) [65][2240/3757] lr: 7.1919e-03 eta: 1 day, 23:47:36 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 6.3391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2310 loss: 2.2310 2022/07/27 20:24:45 - mmengine - INFO - Epoch(train) [65][2260/3757] lr: 7.1919e-03 eta: 1 day, 23:47:28 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 6.3850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0007 loss: 2.0007 2022/07/27 20:24:52 - mmengine - INFO - Epoch(train) [65][2280/3757] lr: 7.1919e-03 eta: 1 day, 23:47:20 time: 0.3947 data_time: 0.0156 memory: 17007 grad_norm: 6.5885 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2257 loss: 2.2257 2022/07/27 20:25:00 - mmengine - INFO - Epoch(train) [65][2300/3757] lr: 7.1919e-03 eta: 1 day, 23:47:12 time: 0.3922 data_time: 0.0140 memory: 17007 grad_norm: 6.5468 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2438 loss: 2.2438 2022/07/27 20:25:08 - mmengine - INFO - Epoch(train) [65][2320/3757] lr: 7.1919e-03 eta: 1 day, 23:47:04 time: 0.4009 data_time: 0.0169 memory: 17007 grad_norm: 6.3161 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1249 loss: 2.1249 2022/07/27 20:25:16 - mmengine - INFO - Epoch(train) [65][2340/3757] lr: 7.1919e-03 eta: 1 day, 23:46:56 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 6.1698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3026 loss: 2.3026 2022/07/27 20:25:24 - mmengine - INFO - Epoch(train) [65][2360/3757] lr: 7.1919e-03 eta: 1 day, 23:46:48 time: 0.3972 data_time: 0.0176 memory: 17007 grad_norm: 6.5354 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8239 loss: 2.8239 2022/07/27 20:25:32 - mmengine - INFO - Epoch(train) [65][2380/3757] lr: 7.1919e-03 eta: 1 day, 23:46:40 time: 0.3938 data_time: 0.0148 memory: 17007 grad_norm: 6.2637 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9967 loss: 1.9967 2022/07/27 20:25:40 - mmengine - INFO - Epoch(train) [65][2400/3757] lr: 7.1919e-03 eta: 1 day, 23:46:32 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 6.6048 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5057 loss: 2.5057 2022/07/27 20:25:48 - mmengine - INFO - Epoch(train) [65][2420/3757] lr: 7.1919e-03 eta: 1 day, 23:46:24 time: 0.3948 data_time: 0.0128 memory: 17007 grad_norm: 6.3346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0302 loss: 2.0302 2022/07/27 20:25:56 - mmengine - INFO - Epoch(train) [65][2440/3757] lr: 7.1919e-03 eta: 1 day, 23:46:16 time: 0.3969 data_time: 0.0172 memory: 17007 grad_norm: 6.5022 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0856 loss: 2.0856 2022/07/27 20:26:04 - mmengine - INFO - Epoch(train) [65][2460/3757] lr: 7.1919e-03 eta: 1 day, 23:46:08 time: 0.3945 data_time: 0.0138 memory: 17007 grad_norm: 6.7461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2250 loss: 2.2250 2022/07/27 20:26:12 - mmengine - INFO - Epoch(train) [65][2480/3757] lr: 7.1919e-03 eta: 1 day, 23:46:00 time: 0.3954 data_time: 0.0168 memory: 17007 grad_norm: 6.3294 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2086 loss: 2.2086 2022/07/27 20:26:19 - mmengine - INFO - Epoch(train) [65][2500/3757] lr: 7.1919e-03 eta: 1 day, 23:45:52 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 6.4299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1269 loss: 2.1269 2022/07/27 20:26:28 - mmengine - INFO - Epoch(train) [65][2520/3757] lr: 7.1919e-03 eta: 1 day, 23:45:45 time: 0.4061 data_time: 0.0156 memory: 17007 grad_norm: 6.3975 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9734 loss: 1.9734 2022/07/27 20:26:36 - mmengine - INFO - Epoch(train) [65][2540/3757] lr: 7.1919e-03 eta: 1 day, 23:45:37 time: 0.3976 data_time: 0.0165 memory: 17007 grad_norm: 6.4192 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3036 loss: 2.3036 2022/07/27 20:26:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:26:43 - mmengine - INFO - Epoch(train) [65][2560/3757] lr: 7.1919e-03 eta: 1 day, 23:45:28 time: 0.3919 data_time: 0.0148 memory: 17007 grad_norm: 6.4237 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0334 loss: 2.0334 2022/07/27 20:26:51 - mmengine - INFO - Epoch(train) [65][2580/3757] lr: 7.1919e-03 eta: 1 day, 23:45:21 time: 0.3990 data_time: 0.0140 memory: 17007 grad_norm: 6.2278 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5364 loss: 2.5364 2022/07/27 20:26:59 - mmengine - INFO - Epoch(train) [65][2600/3757] lr: 7.1919e-03 eta: 1 day, 23:45:13 time: 0.3955 data_time: 0.0168 memory: 17007 grad_norm: 6.2675 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1680 loss: 2.1680 2022/07/27 20:27:07 - mmengine - INFO - Epoch(train) [65][2620/3757] lr: 7.1919e-03 eta: 1 day, 23:45:05 time: 0.3921 data_time: 0.0146 memory: 17007 grad_norm: 6.2761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2181 loss: 2.2181 2022/07/27 20:27:15 - mmengine - INFO - Epoch(train) [65][2640/3757] lr: 7.1919e-03 eta: 1 day, 23:44:57 time: 0.4021 data_time: 0.0177 memory: 17007 grad_norm: 6.4551 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.0642 loss: 2.0642 2022/07/27 20:27:23 - mmengine - INFO - Epoch(train) [65][2660/3757] lr: 7.1919e-03 eta: 1 day, 23:44:49 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 6.3954 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3565 loss: 2.3565 2022/07/27 20:27:31 - mmengine - INFO - Epoch(train) [65][2680/3757] lr: 7.1919e-03 eta: 1 day, 23:44:41 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 6.3695 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4287 loss: 2.4287 2022/07/27 20:27:39 - mmengine - INFO - Epoch(train) [65][2700/3757] lr: 7.1919e-03 eta: 1 day, 23:44:33 time: 0.4012 data_time: 0.0145 memory: 17007 grad_norm: 6.6284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3489 loss: 2.3489 2022/07/27 20:27:47 - mmengine - INFO - Epoch(train) [65][2720/3757] lr: 7.1919e-03 eta: 1 day, 23:44:25 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 6.6571 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1960 loss: 2.1960 2022/07/27 20:27:55 - mmengine - INFO - Epoch(train) [65][2740/3757] lr: 7.1919e-03 eta: 1 day, 23:44:17 time: 0.3987 data_time: 0.0148 memory: 17007 grad_norm: 6.1799 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3211 loss: 2.3211 2022/07/27 20:28:03 - mmengine - INFO - Epoch(train) [65][2760/3757] lr: 7.1919e-03 eta: 1 day, 23:44:09 time: 0.3970 data_time: 0.0165 memory: 17007 grad_norm: 6.5504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3091 loss: 2.3091 2022/07/27 20:28:11 - mmengine - INFO - Epoch(train) [65][2780/3757] lr: 7.1919e-03 eta: 1 day, 23:44:01 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 6.5502 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1154 loss: 2.1154 2022/07/27 20:28:19 - mmengine - INFO - Epoch(train) [65][2800/3757] lr: 7.1919e-03 eta: 1 day, 23:43:53 time: 0.4089 data_time: 0.0149 memory: 17007 grad_norm: 6.2876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0961 loss: 2.0961 2022/07/27 20:28:27 - mmengine - INFO - Epoch(train) [65][2820/3757] lr: 7.1919e-03 eta: 1 day, 23:43:46 time: 0.4027 data_time: 0.0167 memory: 17007 grad_norm: 6.4675 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0459 loss: 2.0459 2022/07/27 20:28:35 - mmengine - INFO - Epoch(train) [65][2840/3757] lr: 7.1919e-03 eta: 1 day, 23:43:38 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 6.6299 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3320 loss: 2.3320 2022/07/27 20:28:43 - mmengine - INFO - Epoch(train) [65][2860/3757] lr: 7.1919e-03 eta: 1 day, 23:43:30 time: 0.4045 data_time: 0.0150 memory: 17007 grad_norm: 6.4501 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2916 loss: 2.2916 2022/07/27 20:28:51 - mmengine - INFO - Epoch(train) [65][2880/3757] lr: 7.1919e-03 eta: 1 day, 23:43:22 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 6.2335 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1032 loss: 2.1032 2022/07/27 20:28:59 - mmengine - INFO - Epoch(train) [65][2900/3757] lr: 7.1919e-03 eta: 1 day, 23:43:14 time: 0.3987 data_time: 0.0146 memory: 17007 grad_norm: 6.3924 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9931 loss: 1.9931 2022/07/27 20:29:07 - mmengine - INFO - Epoch(train) [65][2920/3757] lr: 7.1919e-03 eta: 1 day, 23:43:06 time: 0.4045 data_time: 0.0166 memory: 17007 grad_norm: 6.4699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1666 loss: 2.1666 2022/07/27 20:29:15 - mmengine - INFO - Epoch(train) [65][2940/3757] lr: 7.1919e-03 eta: 1 day, 23:42:58 time: 0.3930 data_time: 0.0143 memory: 17007 grad_norm: 6.1970 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5386 loss: 2.5386 2022/07/27 20:29:23 - mmengine - INFO - Epoch(train) [65][2960/3757] lr: 7.1919e-03 eta: 1 day, 23:42:50 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 6.3587 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3263 loss: 2.3263 2022/07/27 20:29:30 - mmengine - INFO - Epoch(train) [65][2980/3757] lr: 7.1919e-03 eta: 1 day, 23:42:42 time: 0.3919 data_time: 0.0144 memory: 17007 grad_norm: 6.0986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8333 loss: 1.8333 2022/07/27 20:29:38 - mmengine - INFO - Epoch(train) [65][3000/3757] lr: 7.1919e-03 eta: 1 day, 23:42:34 time: 0.3981 data_time: 0.0168 memory: 17007 grad_norm: 6.3591 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4581 loss: 2.4581 2022/07/27 20:29:46 - mmengine - INFO - Epoch(train) [65][3020/3757] lr: 7.1919e-03 eta: 1 day, 23:42:26 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 6.4563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1221 loss: 2.1221 2022/07/27 20:29:54 - mmengine - INFO - Epoch(train) [65][3040/3757] lr: 7.1919e-03 eta: 1 day, 23:42:19 time: 0.4046 data_time: 0.0137 memory: 17007 grad_norm: 6.5631 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2291 loss: 2.2291 2022/07/27 20:30:02 - mmengine - INFO - Epoch(train) [65][3060/3757] lr: 7.1919e-03 eta: 1 day, 23:42:11 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 6.3889 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3486 loss: 2.3486 2022/07/27 20:30:10 - mmengine - INFO - Epoch(train) [65][3080/3757] lr: 7.1919e-03 eta: 1 day, 23:42:02 time: 0.3916 data_time: 0.0143 memory: 17007 grad_norm: 6.3329 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7210 loss: 2.7210 2022/07/27 20:30:18 - mmengine - INFO - Epoch(train) [65][3100/3757] lr: 7.1919e-03 eta: 1 day, 23:41:54 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 6.2393 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2312 loss: 2.2312 2022/07/27 20:30:26 - mmengine - INFO - Epoch(train) [65][3120/3757] lr: 7.1919e-03 eta: 1 day, 23:41:46 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 6.5246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2588 loss: 2.2588 2022/07/27 20:30:34 - mmengine - INFO - Epoch(train) [65][3140/3757] lr: 7.1919e-03 eta: 1 day, 23:41:39 time: 0.4008 data_time: 0.0168 memory: 17007 grad_norm: 6.4029 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2625 loss: 2.2625 2022/07/27 20:30:42 - mmengine - INFO - Epoch(train) [65][3160/3757] lr: 7.1919e-03 eta: 1 day, 23:41:31 time: 0.3948 data_time: 0.0170 memory: 17007 grad_norm: 6.4488 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2141 loss: 2.2141 2022/07/27 20:30:50 - mmengine - INFO - Epoch(train) [65][3180/3757] lr: 7.1919e-03 eta: 1 day, 23:41:23 time: 0.3928 data_time: 0.0144 memory: 17007 grad_norm: 6.4899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1507 loss: 2.1507 2022/07/27 20:30:58 - mmengine - INFO - Epoch(train) [65][3200/3757] lr: 7.1919e-03 eta: 1 day, 23:41:15 time: 0.4068 data_time: 0.0154 memory: 17007 grad_norm: 6.3994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1905 loss: 2.1905 2022/07/27 20:31:06 - mmengine - INFO - Epoch(train) [65][3220/3757] lr: 7.1919e-03 eta: 1 day, 23:41:07 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 6.5129 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6946 loss: 2.6946 2022/07/27 20:31:14 - mmengine - INFO - Epoch(train) [65][3240/3757] lr: 7.1919e-03 eta: 1 day, 23:40:59 time: 0.3967 data_time: 0.0169 memory: 17007 grad_norm: 6.7966 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5296 loss: 2.5296 2022/07/27 20:31:22 - mmengine - INFO - Epoch(train) [65][3260/3757] lr: 7.1919e-03 eta: 1 day, 23:40:51 time: 0.3927 data_time: 0.0146 memory: 17007 grad_norm: 6.6086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0897 loss: 2.0897 2022/07/27 20:31:29 - mmengine - INFO - Epoch(train) [65][3280/3757] lr: 7.1919e-03 eta: 1 day, 23:40:43 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 6.1081 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9395 loss: 1.9395 2022/07/27 20:31:38 - mmengine - INFO - Epoch(train) [65][3300/3757] lr: 7.1919e-03 eta: 1 day, 23:40:35 time: 0.4051 data_time: 0.0158 memory: 17007 grad_norm: 8.2709 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1132 loss: 2.1132 2022/07/27 20:31:45 - mmengine - INFO - Epoch(train) [65][3320/3757] lr: 7.1919e-03 eta: 1 day, 23:40:27 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 6.6666 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9828 loss: 1.9828 2022/07/27 20:31:53 - mmengine - INFO - Epoch(train) [65][3340/3757] lr: 7.1919e-03 eta: 1 day, 23:40:19 time: 0.3988 data_time: 0.0157 memory: 17007 grad_norm: 6.6385 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5257 loss: 2.5257 2022/07/27 20:32:01 - mmengine - INFO - Epoch(train) [65][3360/3757] lr: 7.1919e-03 eta: 1 day, 23:40:11 time: 0.3941 data_time: 0.0155 memory: 17007 grad_norm: 6.5514 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3801 loss: 2.3801 2022/07/27 20:32:09 - mmengine - INFO - Epoch(train) [65][3380/3757] lr: 7.1919e-03 eta: 1 day, 23:40:03 time: 0.3930 data_time: 0.0141 memory: 17007 grad_norm: 6.6824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4320 loss: 2.4320 2022/07/27 20:32:17 - mmengine - INFO - Epoch(train) [65][3400/3757] lr: 7.1919e-03 eta: 1 day, 23:39:55 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 6.2939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1567 loss: 2.1567 2022/07/27 20:32:25 - mmengine - INFO - Epoch(train) [65][3420/3757] lr: 7.1919e-03 eta: 1 day, 23:39:47 time: 0.3926 data_time: 0.0143 memory: 17007 grad_norm: 6.5355 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1774 loss: 2.1774 2022/07/27 20:32:33 - mmengine - INFO - Epoch(train) [65][3440/3757] lr: 7.1919e-03 eta: 1 day, 23:39:39 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 6.8024 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3090 loss: 2.3090 2022/07/27 20:32:41 - mmengine - INFO - Epoch(train) [65][3460/3757] lr: 7.1919e-03 eta: 1 day, 23:39:31 time: 0.3922 data_time: 0.0146 memory: 17007 grad_norm: 6.8531 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2344 loss: 2.2344 2022/07/27 20:32:49 - mmengine - INFO - Epoch(train) [65][3480/3757] lr: 7.1919e-03 eta: 1 day, 23:39:23 time: 0.3984 data_time: 0.0158 memory: 17007 grad_norm: 6.4839 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3088 loss: 2.3088 2022/07/27 20:32:57 - mmengine - INFO - Epoch(train) [65][3500/3757] lr: 7.1919e-03 eta: 1 day, 23:39:15 time: 0.3912 data_time: 0.0142 memory: 17007 grad_norm: 6.4090 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1597 loss: 2.1597 2022/07/27 20:33:04 - mmengine - INFO - Epoch(train) [65][3520/3757] lr: 7.1919e-03 eta: 1 day, 23:39:07 time: 0.3975 data_time: 0.0180 memory: 17007 grad_norm: 6.4652 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1185 loss: 2.1185 2022/07/27 20:33:12 - mmengine - INFO - Epoch(train) [65][3540/3757] lr: 7.1919e-03 eta: 1 day, 23:38:59 time: 0.3948 data_time: 0.0138 memory: 17007 grad_norm: 6.5581 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3498 loss: 2.3498 2022/07/27 20:33:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:33:20 - mmengine - INFO - Epoch(train) [65][3560/3757] lr: 7.1919e-03 eta: 1 day, 23:38:51 time: 0.3915 data_time: 0.0151 memory: 17007 grad_norm: 6.4780 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4194 loss: 2.4194 2022/07/27 20:33:28 - mmengine - INFO - Epoch(train) [65][3580/3757] lr: 7.1919e-03 eta: 1 day, 23:38:43 time: 0.3975 data_time: 0.0164 memory: 17007 grad_norm: 6.3316 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3696 loss: 2.3696 2022/07/27 20:33:36 - mmengine - INFO - Epoch(train) [65][3600/3757] lr: 7.1919e-03 eta: 1 day, 23:38:35 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 6.3362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0986 loss: 2.0986 2022/07/27 20:33:44 - mmengine - INFO - Epoch(train) [65][3620/3757] lr: 7.1919e-03 eta: 1 day, 23:38:27 time: 0.4055 data_time: 0.0157 memory: 17007 grad_norm: 6.3809 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.7097 loss: 2.7097 2022/07/27 20:33:52 - mmengine - INFO - Epoch(train) [65][3640/3757] lr: 7.1919e-03 eta: 1 day, 23:38:19 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 6.2401 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1634 loss: 2.1634 2022/07/27 20:34:00 - mmengine - INFO - Epoch(train) [65][3660/3757] lr: 7.1919e-03 eta: 1 day, 23:38:11 time: 0.3921 data_time: 0.0140 memory: 17007 grad_norm: 6.3619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0398 loss: 2.0398 2022/07/27 20:34:08 - mmengine - INFO - Epoch(train) [65][3680/3757] lr: 7.1919e-03 eta: 1 day, 23:38:03 time: 0.3996 data_time: 0.0163 memory: 17007 grad_norm: 6.4228 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9917 loss: 1.9917 2022/07/27 20:34:16 - mmengine - INFO - Epoch(train) [65][3700/3757] lr: 7.1919e-03 eta: 1 day, 23:37:55 time: 0.3937 data_time: 0.0151 memory: 17007 grad_norm: 6.3031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2007 loss: 2.2007 2022/07/27 20:34:24 - mmengine - INFO - Epoch(train) [65][3720/3757] lr: 7.1919e-03 eta: 1 day, 23:37:48 time: 0.4021 data_time: 0.0161 memory: 17007 grad_norm: 6.4809 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3337 loss: 2.3337 2022/07/27 20:34:32 - mmengine - INFO - Epoch(train) [65][3740/3757] lr: 7.1919e-03 eta: 1 day, 23:37:39 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 6.2499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0649 loss: 2.0649 2022/07/27 20:34:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:34:38 - mmengine - INFO - Epoch(train) [65][3757/3757] lr: 7.1919e-03 eta: 1 day, 23:37:39 time: 0.3875 data_time: 0.0145 memory: 17007 grad_norm: 6.4288 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.1734 loss: 2.1734 2022/07/27 20:34:38 - mmengine - INFO - Saving checkpoint at 65 epochs 2022/07/27 20:34:49 - mmengine - INFO - Epoch(train) [66][20/3757] lr: 7.1131e-03 eta: 1 day, 23:37:15 time: 0.4580 data_time: 0.0769 memory: 17007 grad_norm: 6.6007 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2795 loss: 2.2795 2022/07/27 20:34:57 - mmengine - INFO - Epoch(train) [66][40/3757] lr: 7.1131e-03 eta: 1 day, 23:37:07 time: 0.3975 data_time: 0.0162 memory: 17007 grad_norm: 6.4184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1678 loss: 2.1678 2022/07/27 20:35:05 - mmengine - INFO - Epoch(train) [66][60/3757] lr: 7.1131e-03 eta: 1 day, 23:36:59 time: 0.3922 data_time: 0.0145 memory: 17007 grad_norm: 6.6270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4103 loss: 2.4103 2022/07/27 20:35:13 - mmengine - INFO - Epoch(train) [66][80/3757] lr: 7.1131e-03 eta: 1 day, 23:36:52 time: 0.4109 data_time: 0.0157 memory: 17007 grad_norm: 6.4442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0500 loss: 2.0500 2022/07/27 20:35:21 - mmengine - INFO - Epoch(train) [66][100/3757] lr: 7.1131e-03 eta: 1 day, 23:36:43 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.7867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3261 loss: 2.3261 2022/07/27 20:35:29 - mmengine - INFO - Epoch(train) [66][120/3757] lr: 7.1131e-03 eta: 1 day, 23:36:35 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 6.4453 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2650 loss: 2.2650 2022/07/27 20:35:37 - mmengine - INFO - Epoch(train) [66][140/3757] lr: 7.1131e-03 eta: 1 day, 23:36:28 time: 0.4175 data_time: 0.0144 memory: 17007 grad_norm: 6.5798 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3676 loss: 2.3676 2022/07/27 20:35:45 - mmengine - INFO - Epoch(train) [66][160/3757] lr: 7.1131e-03 eta: 1 day, 23:36:20 time: 0.3926 data_time: 0.0145 memory: 17007 grad_norm: 6.4708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1403 loss: 2.1403 2022/07/27 20:35:53 - mmengine - INFO - Epoch(train) [66][180/3757] lr: 7.1131e-03 eta: 1 day, 23:36:12 time: 0.4018 data_time: 0.0147 memory: 17007 grad_norm: 6.5269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0323 loss: 2.0323 2022/07/27 20:36:01 - mmengine - INFO - Epoch(train) [66][200/3757] lr: 7.1131e-03 eta: 1 day, 23:36:04 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 6.5247 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3482 loss: 2.3482 2022/07/27 20:36:09 - mmengine - INFO - Epoch(train) [66][220/3757] lr: 7.1131e-03 eta: 1 day, 23:35:56 time: 0.3969 data_time: 0.0162 memory: 17007 grad_norm: 6.3865 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3473 loss: 2.3473 2022/07/27 20:36:17 - mmengine - INFO - Epoch(train) [66][240/3757] lr: 7.1131e-03 eta: 1 day, 23:35:48 time: 0.3940 data_time: 0.0147 memory: 17007 grad_norm: 6.3327 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0107 loss: 2.0107 2022/07/27 20:36:25 - mmengine - INFO - Epoch(train) [66][260/3757] lr: 7.1131e-03 eta: 1 day, 23:35:40 time: 0.3972 data_time: 0.0161 memory: 17007 grad_norm: 6.7309 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4019 loss: 2.4019 2022/07/27 20:36:33 - mmengine - INFO - Epoch(train) [66][280/3757] lr: 7.1131e-03 eta: 1 day, 23:35:33 time: 0.3977 data_time: 0.0150 memory: 17007 grad_norm: 6.6233 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1396 loss: 2.1396 2022/07/27 20:36:41 - mmengine - INFO - Epoch(train) [66][300/3757] lr: 7.1131e-03 eta: 1 day, 23:35:25 time: 0.3946 data_time: 0.0160 memory: 17007 grad_norm: 6.3877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2544 loss: 2.2544 2022/07/27 20:36:49 - mmengine - INFO - Epoch(train) [66][320/3757] lr: 7.1131e-03 eta: 1 day, 23:35:17 time: 0.4001 data_time: 0.0164 memory: 17007 grad_norm: 6.5671 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1134 loss: 2.1134 2022/07/27 20:36:57 - mmengine - INFO - Epoch(train) [66][340/3757] lr: 7.1131e-03 eta: 1 day, 23:35:09 time: 0.3928 data_time: 0.0144 memory: 17007 grad_norm: 6.6559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2582 loss: 2.2582 2022/07/27 20:37:05 - mmengine - INFO - Epoch(train) [66][360/3757] lr: 7.1131e-03 eta: 1 day, 23:35:01 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 6.3347 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3629 loss: 2.3629 2022/07/27 20:37:12 - mmengine - INFO - Epoch(train) [66][380/3757] lr: 7.1131e-03 eta: 1 day, 23:34:53 time: 0.3929 data_time: 0.0155 memory: 17007 grad_norm: 6.3325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1522 loss: 2.1522 2022/07/27 20:37:20 - mmengine - INFO - Epoch(train) [66][400/3757] lr: 7.1131e-03 eta: 1 day, 23:34:45 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 6.4682 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1940 loss: 2.1940 2022/07/27 20:37:29 - mmengine - INFO - Epoch(train) [66][420/3757] lr: 7.1131e-03 eta: 1 day, 23:34:37 time: 0.4129 data_time: 0.0165 memory: 17007 grad_norm: 6.5543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2071 loss: 2.2071 2022/07/27 20:37:36 - mmengine - INFO - Epoch(train) [66][440/3757] lr: 7.1131e-03 eta: 1 day, 23:34:29 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 6.8535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3388 loss: 2.3388 2022/07/27 20:37:45 - mmengine - INFO - Epoch(train) [66][460/3757] lr: 7.1131e-03 eta: 1 day, 23:34:21 time: 0.4021 data_time: 0.0157 memory: 17007 grad_norm: 6.4095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2453 loss: 2.2453 2022/07/27 20:37:52 - mmengine - INFO - Epoch(train) [66][480/3757] lr: 7.1131e-03 eta: 1 day, 23:34:13 time: 0.3926 data_time: 0.0150 memory: 17007 grad_norm: 6.4020 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3879 loss: 2.3879 2022/07/27 20:38:00 - mmengine - INFO - Epoch(train) [66][500/3757] lr: 7.1131e-03 eta: 1 day, 23:34:05 time: 0.3918 data_time: 0.0144 memory: 17007 grad_norm: 6.2163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1063 loss: 2.1063 2022/07/27 20:38:08 - mmengine - INFO - Epoch(train) [66][520/3757] lr: 7.1131e-03 eta: 1 day, 23:33:57 time: 0.3992 data_time: 0.0172 memory: 17007 grad_norm: 6.3330 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1818 loss: 2.1818 2022/07/27 20:38:16 - mmengine - INFO - Epoch(train) [66][540/3757] lr: 7.1131e-03 eta: 1 day, 23:33:49 time: 0.3928 data_time: 0.0139 memory: 17007 grad_norm: 6.1682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0978 loss: 2.0978 2022/07/27 20:38:24 - mmengine - INFO - Epoch(train) [66][560/3757] lr: 7.1131e-03 eta: 1 day, 23:33:42 time: 0.4065 data_time: 0.0175 memory: 17007 grad_norm: 6.4874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1423 loss: 2.1423 2022/07/27 20:38:32 - mmengine - INFO - Epoch(train) [66][580/3757] lr: 7.1131e-03 eta: 1 day, 23:33:34 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 6.2898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1765 loss: 2.1765 2022/07/27 20:38:40 - mmengine - INFO - Epoch(train) [66][600/3757] lr: 7.1131e-03 eta: 1 day, 23:33:26 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 6.4242 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5661 loss: 2.5661 2022/07/27 20:38:48 - mmengine - INFO - Epoch(train) [66][620/3757] lr: 7.1131e-03 eta: 1 day, 23:33:18 time: 0.3955 data_time: 0.0167 memory: 17007 grad_norm: 6.3582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9316 loss: 1.9316 2022/07/27 20:38:56 - mmengine - INFO - Epoch(train) [66][640/3757] lr: 7.1131e-03 eta: 1 day, 23:33:10 time: 0.4037 data_time: 0.0151 memory: 17007 grad_norm: 6.3855 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4626 loss: 2.4626 2022/07/27 20:39:04 - mmengine - INFO - Epoch(train) [66][660/3757] lr: 7.1131e-03 eta: 1 day, 23:33:02 time: 0.3971 data_time: 0.0156 memory: 17007 grad_norm: 6.3158 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3256 loss: 2.3256 2022/07/27 20:39:12 - mmengine - INFO - Epoch(train) [66][680/3757] lr: 7.1131e-03 eta: 1 day, 23:32:54 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 6.6906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0577 loss: 2.0577 2022/07/27 20:39:20 - mmengine - INFO - Epoch(train) [66][700/3757] lr: 7.1131e-03 eta: 1 day, 23:32:46 time: 0.3936 data_time: 0.0143 memory: 17007 grad_norm: 6.4577 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2059 loss: 2.2059 2022/07/27 20:39:28 - mmengine - INFO - Epoch(train) [66][720/3757] lr: 7.1131e-03 eta: 1 day, 23:32:38 time: 0.4009 data_time: 0.0167 memory: 17007 grad_norm: 6.4033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1007 loss: 2.1007 2022/07/27 20:39:36 - mmengine - INFO - Epoch(train) [66][740/3757] lr: 7.1131e-03 eta: 1 day, 23:32:30 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 6.3858 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3075 loss: 2.3075 2022/07/27 20:39:44 - mmengine - INFO - Epoch(train) [66][760/3757] lr: 7.1131e-03 eta: 1 day, 23:32:22 time: 0.4077 data_time: 0.0166 memory: 17007 grad_norm: 6.4552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3476 loss: 2.3476 2022/07/27 20:39:52 - mmengine - INFO - Epoch(train) [66][780/3757] lr: 7.1131e-03 eta: 1 day, 23:32:14 time: 0.3923 data_time: 0.0153 memory: 17007 grad_norm: 6.6992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2341 loss: 2.2341 2022/07/27 20:39:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:40:00 - mmengine - INFO - Epoch(train) [66][800/3757] lr: 7.1131e-03 eta: 1 day, 23:32:06 time: 0.3935 data_time: 0.0147 memory: 17007 grad_norm: 6.6761 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0714 loss: 2.0714 2022/07/27 20:40:08 - mmengine - INFO - Epoch(train) [66][820/3757] lr: 7.1131e-03 eta: 1 day, 23:31:59 time: 0.4029 data_time: 0.0158 memory: 17007 grad_norm: 6.6482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0384 loss: 2.0384 2022/07/27 20:40:15 - mmengine - INFO - Epoch(train) [66][840/3757] lr: 7.1131e-03 eta: 1 day, 23:31:51 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 6.2821 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0095 loss: 2.0095 2022/07/27 20:40:23 - mmengine - INFO - Epoch(train) [66][860/3757] lr: 7.1131e-03 eta: 1 day, 23:31:43 time: 0.3986 data_time: 0.0159 memory: 17007 grad_norm: 6.0663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1337 loss: 2.1337 2022/07/27 20:40:31 - mmengine - INFO - Epoch(train) [66][880/3757] lr: 7.1131e-03 eta: 1 day, 23:31:35 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 6.4417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9859 loss: 1.9859 2022/07/27 20:40:39 - mmengine - INFO - Epoch(train) [66][900/3757] lr: 7.1131e-03 eta: 1 day, 23:31:27 time: 0.4067 data_time: 0.0146 memory: 17007 grad_norm: 6.5952 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2231 loss: 2.2231 2022/07/27 20:40:47 - mmengine - INFO - Epoch(train) [66][920/3757] lr: 7.1131e-03 eta: 1 day, 23:31:19 time: 0.3994 data_time: 0.0150 memory: 17007 grad_norm: 6.7064 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1502 loss: 2.1502 2022/07/27 20:40:55 - mmengine - INFO - Epoch(train) [66][940/3757] lr: 7.1131e-03 eta: 1 day, 23:31:11 time: 0.3918 data_time: 0.0146 memory: 17007 grad_norm: 6.2903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1729 loss: 2.1729 2022/07/27 20:41:03 - mmengine - INFO - Epoch(train) [66][960/3757] lr: 7.1131e-03 eta: 1 day, 23:31:03 time: 0.4030 data_time: 0.0164 memory: 17007 grad_norm: 6.3475 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0112 loss: 2.0112 2022/07/27 20:41:11 - mmengine - INFO - Epoch(train) [66][980/3757] lr: 7.1131e-03 eta: 1 day, 23:30:55 time: 0.3931 data_time: 0.0146 memory: 17007 grad_norm: 6.5335 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2857 loss: 2.2857 2022/07/27 20:41:19 - mmengine - INFO - Epoch(train) [66][1000/3757] lr: 7.1131e-03 eta: 1 day, 23:30:47 time: 0.3918 data_time: 0.0146 memory: 17007 grad_norm: 6.6597 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5344 loss: 2.5344 2022/07/27 20:41:27 - mmengine - INFO - Epoch(train) [66][1020/3757] lr: 7.1131e-03 eta: 1 day, 23:30:39 time: 0.3966 data_time: 0.0161 memory: 17007 grad_norm: 6.2800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1931 loss: 2.1931 2022/07/27 20:41:35 - mmengine - INFO - Epoch(train) [66][1040/3757] lr: 7.1131e-03 eta: 1 day, 23:30:31 time: 0.3955 data_time: 0.0151 memory: 17007 grad_norm: 6.4708 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0324 loss: 2.0324 2022/07/27 20:41:43 - mmengine - INFO - Epoch(train) [66][1060/3757] lr: 7.1131e-03 eta: 1 day, 23:30:23 time: 0.3923 data_time: 0.0139 memory: 17007 grad_norm: 6.5161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4356 loss: 2.4356 2022/07/27 20:41:51 - mmengine - INFO - Epoch(train) [66][1080/3757] lr: 7.1131e-03 eta: 1 day, 23:30:15 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 6.4080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2682 loss: 2.2682 2022/07/27 20:41:59 - mmengine - INFO - Epoch(train) [66][1100/3757] lr: 7.1131e-03 eta: 1 day, 23:30:07 time: 0.3988 data_time: 0.0160 memory: 17007 grad_norm: 6.2928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1630 loss: 2.1630 2022/07/27 20:42:07 - mmengine - INFO - Epoch(train) [66][1120/3757] lr: 7.1131e-03 eta: 1 day, 23:29:59 time: 0.3953 data_time: 0.0161 memory: 17007 grad_norm: 6.9199 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2227 loss: 2.2227 2022/07/27 20:42:15 - mmengine - INFO - Epoch(train) [66][1140/3757] lr: 7.1131e-03 eta: 1 day, 23:29:51 time: 0.3968 data_time: 0.0153 memory: 17007 grad_norm: 6.4933 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4518 loss: 2.4518 2022/07/27 20:42:22 - mmengine - INFO - Epoch(train) [66][1160/3757] lr: 7.1131e-03 eta: 1 day, 23:29:43 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 6.6458 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2980 loss: 2.2980 2022/07/27 20:42:31 - mmengine - INFO - Epoch(train) [66][1180/3757] lr: 7.1131e-03 eta: 1 day, 23:29:36 time: 0.4070 data_time: 0.0156 memory: 17007 grad_norm: 6.2396 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3264 loss: 2.3264 2022/07/27 20:42:38 - mmengine - INFO - Epoch(train) [66][1200/3757] lr: 7.1131e-03 eta: 1 day, 23:29:28 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 6.5205 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1168 loss: 2.1168 2022/07/27 20:42:46 - mmengine - INFO - Epoch(train) [66][1220/3757] lr: 7.1131e-03 eta: 1 day, 23:29:20 time: 0.3956 data_time: 0.0169 memory: 17007 grad_norm: 6.4824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5953 loss: 2.5953 2022/07/27 20:42:54 - mmengine - INFO - Epoch(train) [66][1240/3757] lr: 7.1131e-03 eta: 1 day, 23:29:12 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 6.3923 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9142 loss: 1.9142 2022/07/27 20:43:02 - mmengine - INFO - Epoch(train) [66][1260/3757] lr: 7.1131e-03 eta: 1 day, 23:29:04 time: 0.3962 data_time: 0.0168 memory: 17007 grad_norm: 6.4255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/07/27 20:43:10 - mmengine - INFO - Epoch(train) [66][1280/3757] lr: 7.1131e-03 eta: 1 day, 23:28:56 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 6.2717 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4714 loss: 2.4714 2022/07/27 20:43:18 - mmengine - INFO - Epoch(train) [66][1300/3757] lr: 7.1131e-03 eta: 1 day, 23:28:48 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 6.6173 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3855 loss: 2.3855 2022/07/27 20:43:26 - mmengine - INFO - Epoch(train) [66][1320/3757] lr: 7.1131e-03 eta: 1 day, 23:28:39 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 6.4878 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2102 loss: 2.2102 2022/07/27 20:43:34 - mmengine - INFO - Epoch(train) [66][1340/3757] lr: 7.1131e-03 eta: 1 day, 23:28:32 time: 0.4015 data_time: 0.0170 memory: 17007 grad_norm: 6.4512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1080 loss: 2.1080 2022/07/27 20:43:42 - mmengine - INFO - Epoch(train) [66][1360/3757] lr: 7.1131e-03 eta: 1 day, 23:28:24 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 6.3263 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1739 loss: 2.1739 2022/07/27 20:43:50 - mmengine - INFO - Epoch(train) [66][1380/3757] lr: 7.1131e-03 eta: 1 day, 23:28:16 time: 0.3949 data_time: 0.0140 memory: 17007 grad_norm: 6.3424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2308 loss: 2.2308 2022/07/27 20:43:58 - mmengine - INFO - Epoch(train) [66][1400/3757] lr: 7.1131e-03 eta: 1 day, 23:28:08 time: 0.3961 data_time: 0.0149 memory: 17007 grad_norm: 6.5255 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1007 loss: 2.1007 2022/07/27 20:44:05 - mmengine - INFO - Epoch(train) [66][1420/3757] lr: 7.1131e-03 eta: 1 day, 23:28:00 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 6.3945 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0701 loss: 2.0701 2022/07/27 20:44:13 - mmengine - INFO - Epoch(train) [66][1440/3757] lr: 7.1131e-03 eta: 1 day, 23:27:52 time: 0.3962 data_time: 0.0157 memory: 17007 grad_norm: 6.3154 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3754 loss: 2.3754 2022/07/27 20:44:21 - mmengine - INFO - Epoch(train) [66][1460/3757] lr: 7.1131e-03 eta: 1 day, 23:27:44 time: 0.3922 data_time: 0.0137 memory: 17007 grad_norm: 6.5230 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8512 loss: 1.8512 2022/07/27 20:44:29 - mmengine - INFO - Epoch(train) [66][1480/3757] lr: 7.1131e-03 eta: 1 day, 23:27:36 time: 0.4044 data_time: 0.0155 memory: 17007 grad_norm: 6.5576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2307 loss: 2.2307 2022/07/27 20:44:38 - mmengine - INFO - Epoch(train) [66][1500/3757] lr: 7.1131e-03 eta: 1 day, 23:27:29 time: 0.4109 data_time: 0.0171 memory: 17007 grad_norm: 6.5300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2790 loss: 2.2790 2022/07/27 20:44:45 - mmengine - INFO - Epoch(train) [66][1520/3757] lr: 7.1131e-03 eta: 1 day, 23:27:20 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 6.6331 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3560 loss: 2.3560 2022/07/27 20:44:54 - mmengine - INFO - Epoch(train) [66][1540/3757] lr: 7.1131e-03 eta: 1 day, 23:27:13 time: 0.4122 data_time: 0.0162 memory: 17007 grad_norm: 6.3110 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2023 loss: 2.2023 2022/07/27 20:45:02 - mmengine - INFO - Epoch(train) [66][1560/3757] lr: 7.1131e-03 eta: 1 day, 23:27:05 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 6.4108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1308 loss: 2.1308 2022/07/27 20:45:09 - mmengine - INFO - Epoch(train) [66][1580/3757] lr: 7.1131e-03 eta: 1 day, 23:26:57 time: 0.3952 data_time: 0.0156 memory: 17007 grad_norm: 6.2828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1062 loss: 2.1062 2022/07/27 20:45:17 - mmengine - INFO - Epoch(train) [66][1600/3757] lr: 7.1131e-03 eta: 1 day, 23:26:49 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 6.6858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4195 loss: 2.4195 2022/07/27 20:45:25 - mmengine - INFO - Epoch(train) [66][1620/3757] lr: 7.1131e-03 eta: 1 day, 23:26:41 time: 0.3965 data_time: 0.0163 memory: 17007 grad_norm: 6.7152 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.6297 loss: 2.6297 2022/07/27 20:45:33 - mmengine - INFO - Epoch(train) [66][1640/3757] lr: 7.1131e-03 eta: 1 day, 23:26:33 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 6.7757 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6145 loss: 2.6145 2022/07/27 20:45:41 - mmengine - INFO - Epoch(train) [66][1660/3757] lr: 7.1131e-03 eta: 1 day, 23:26:25 time: 0.3928 data_time: 0.0148 memory: 17007 grad_norm: 6.2909 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1147 loss: 2.1147 2022/07/27 20:45:49 - mmengine - INFO - Epoch(train) [66][1680/3757] lr: 7.1131e-03 eta: 1 day, 23:26:17 time: 0.3962 data_time: 0.0167 memory: 17007 grad_norm: 6.3805 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0349 loss: 2.0349 2022/07/27 20:45:57 - mmengine - INFO - Epoch(train) [66][1700/3757] lr: 7.1131e-03 eta: 1 day, 23:26:09 time: 0.3948 data_time: 0.0149 memory: 17007 grad_norm: 6.4004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2368 loss: 2.2368 2022/07/27 20:46:05 - mmengine - INFO - Epoch(train) [66][1720/3757] lr: 7.1131e-03 eta: 1 day, 23:26:01 time: 0.3968 data_time: 0.0166 memory: 17007 grad_norm: 6.4929 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1063 loss: 2.1063 2022/07/27 20:46:13 - mmengine - INFO - Epoch(train) [66][1740/3757] lr: 7.1131e-03 eta: 1 day, 23:25:53 time: 0.3924 data_time: 0.0145 memory: 17007 grad_norm: 6.3215 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2754 loss: 2.2754 2022/07/27 20:46:21 - mmengine - INFO - Epoch(train) [66][1760/3757] lr: 7.1131e-03 eta: 1 day, 23:25:45 time: 0.3972 data_time: 0.0157 memory: 17007 grad_norm: 6.5189 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5133 loss: 2.5133 2022/07/27 20:46:29 - mmengine - INFO - Epoch(train) [66][1780/3757] lr: 7.1131e-03 eta: 1 day, 23:25:37 time: 0.3968 data_time: 0.0160 memory: 17007 grad_norm: 6.2297 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3502 loss: 2.3502 2022/07/27 20:46:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:46:37 - mmengine - INFO - Epoch(train) [66][1800/3757] lr: 7.1131e-03 eta: 1 day, 23:25:29 time: 0.3997 data_time: 0.0182 memory: 17007 grad_norm: 6.4775 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1432 loss: 2.1432 2022/07/27 20:46:44 - mmengine - INFO - Epoch(train) [66][1820/3757] lr: 7.1131e-03 eta: 1 day, 23:25:21 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 6.5444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1335 loss: 2.1335 2022/07/27 20:46:52 - mmengine - INFO - Epoch(train) [66][1840/3757] lr: 7.1131e-03 eta: 1 day, 23:25:13 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.4161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8898 loss: 1.8898 2022/07/27 20:47:00 - mmengine - INFO - Epoch(train) [66][1860/3757] lr: 7.1131e-03 eta: 1 day, 23:25:05 time: 0.3953 data_time: 0.0146 memory: 17007 grad_norm: 6.4700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1388 loss: 2.1388 2022/07/27 20:47:08 - mmengine - INFO - Epoch(train) [66][1880/3757] lr: 7.1131e-03 eta: 1 day, 23:24:57 time: 0.3956 data_time: 0.0172 memory: 17007 grad_norm: 6.6369 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2422 loss: 2.2422 2022/07/27 20:47:16 - mmengine - INFO - Epoch(train) [66][1900/3757] lr: 7.1131e-03 eta: 1 day, 23:24:49 time: 0.3960 data_time: 0.0156 memory: 17007 grad_norm: 6.3812 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2662 loss: 2.2662 2022/07/27 20:47:24 - mmengine - INFO - Epoch(train) [66][1920/3757] lr: 7.1131e-03 eta: 1 day, 23:24:41 time: 0.3966 data_time: 0.0174 memory: 17007 grad_norm: 6.3730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0071 loss: 2.0071 2022/07/27 20:47:32 - mmengine - INFO - Epoch(train) [66][1940/3757] lr: 7.1131e-03 eta: 1 day, 23:24:33 time: 0.3921 data_time: 0.0148 memory: 17007 grad_norm: 6.5782 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3935 loss: 2.3935 2022/07/27 20:47:40 - mmengine - INFO - Epoch(train) [66][1960/3757] lr: 7.1131e-03 eta: 1 day, 23:24:25 time: 0.3975 data_time: 0.0150 memory: 17007 grad_norm: 6.5118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2941 loss: 2.2941 2022/07/27 20:47:48 - mmengine - INFO - Epoch(train) [66][1980/3757] lr: 7.1131e-03 eta: 1 day, 23:24:17 time: 0.3959 data_time: 0.0172 memory: 17007 grad_norm: 6.6507 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2421 loss: 2.2421 2022/07/27 20:47:56 - mmengine - INFO - Epoch(train) [66][2000/3757] lr: 7.1131e-03 eta: 1 day, 23:24:10 time: 0.4113 data_time: 0.0149 memory: 17007 grad_norm: 6.4697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8767 loss: 1.8767 2022/07/27 20:48:04 - mmengine - INFO - Epoch(train) [66][2020/3757] lr: 7.1131e-03 eta: 1 day, 23:24:02 time: 0.3960 data_time: 0.0156 memory: 17007 grad_norm: 6.5728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1685 loss: 2.1685 2022/07/27 20:48:12 - mmengine - INFO - Epoch(train) [66][2040/3757] lr: 7.1131e-03 eta: 1 day, 23:23:54 time: 0.3920 data_time: 0.0145 memory: 17007 grad_norm: 6.4757 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1804 loss: 2.1804 2022/07/27 20:48:20 - mmengine - INFO - Epoch(train) [66][2060/3757] lr: 7.1131e-03 eta: 1 day, 23:23:46 time: 0.4048 data_time: 0.0157 memory: 17007 grad_norm: 6.4770 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9175 loss: 1.9175 2022/07/27 20:48:28 - mmengine - INFO - Epoch(train) [66][2080/3757] lr: 7.1131e-03 eta: 1 day, 23:23:38 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 6.3703 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1260 loss: 2.1260 2022/07/27 20:48:36 - mmengine - INFO - Epoch(train) [66][2100/3757] lr: 7.1131e-03 eta: 1 day, 23:23:31 time: 0.4078 data_time: 0.0162 memory: 17007 grad_norm: 6.6868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0800 loss: 2.0800 2022/07/27 20:48:44 - mmengine - INFO - Epoch(train) [66][2120/3757] lr: 7.1131e-03 eta: 1 day, 23:23:23 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 6.4585 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9755 loss: 1.9755 2022/07/27 20:48:52 - mmengine - INFO - Epoch(train) [66][2140/3757] lr: 7.1131e-03 eta: 1 day, 23:23:14 time: 0.3927 data_time: 0.0146 memory: 17007 grad_norm: 6.2878 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3227 loss: 2.3227 2022/07/27 20:49:00 - mmengine - INFO - Epoch(train) [66][2160/3757] lr: 7.1131e-03 eta: 1 day, 23:23:07 time: 0.4163 data_time: 0.0155 memory: 17007 grad_norm: 6.5261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3810 loss: 2.3810 2022/07/27 20:49:08 - mmengine - INFO - Epoch(train) [66][2180/3757] lr: 7.1131e-03 eta: 1 day, 23:22:59 time: 0.3923 data_time: 0.0135 memory: 17007 grad_norm: 6.3620 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1735 loss: 2.1735 2022/07/27 20:49:17 - mmengine - INFO - Epoch(train) [66][2200/3757] lr: 7.1131e-03 eta: 1 day, 23:22:52 time: 0.4305 data_time: 0.0156 memory: 17007 grad_norm: 6.2710 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0910 loss: 2.0910 2022/07/27 20:49:24 - mmengine - INFO - Epoch(train) [66][2220/3757] lr: 7.1131e-03 eta: 1 day, 23:22:44 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 6.3517 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0527 loss: 2.0527 2022/07/27 20:49:32 - mmengine - INFO - Epoch(train) [66][2240/3757] lr: 7.1131e-03 eta: 1 day, 23:22:36 time: 0.3932 data_time: 0.0149 memory: 17007 grad_norm: 6.5329 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7608 loss: 1.7608 2022/07/27 20:49:41 - mmengine - INFO - Epoch(train) [66][2260/3757] lr: 7.1131e-03 eta: 1 day, 23:22:29 time: 0.4263 data_time: 0.0156 memory: 17007 grad_norm: 6.5684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3101 loss: 2.3101 2022/07/27 20:49:49 - mmengine - INFO - Epoch(train) [66][2280/3757] lr: 7.1131e-03 eta: 1 day, 23:22:21 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 6.4063 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3326 loss: 2.3326 2022/07/27 20:49:58 - mmengine - INFO - Epoch(train) [66][2300/3757] lr: 7.1131e-03 eta: 1 day, 23:22:15 time: 0.4462 data_time: 0.0152 memory: 17007 grad_norm: 6.6293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3341 loss: 2.3341 2022/07/27 20:50:05 - mmengine - INFO - Epoch(train) [66][2320/3757] lr: 7.1131e-03 eta: 1 day, 23:22:07 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 6.4508 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3339 loss: 2.3339 2022/07/27 20:50:13 - mmengine - INFO - Epoch(train) [66][2340/3757] lr: 7.1131e-03 eta: 1 day, 23:21:59 time: 0.3972 data_time: 0.0135 memory: 17007 grad_norm: 6.4534 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9854 loss: 1.9854 2022/07/27 20:50:21 - mmengine - INFO - Epoch(train) [66][2360/3757] lr: 7.1131e-03 eta: 1 day, 23:21:51 time: 0.4011 data_time: 0.0159 memory: 17007 grad_norm: 6.7836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1698 loss: 2.1698 2022/07/27 20:50:29 - mmengine - INFO - Epoch(train) [66][2380/3757] lr: 7.1131e-03 eta: 1 day, 23:21:43 time: 0.3915 data_time: 0.0137 memory: 17007 grad_norm: 6.3431 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0592 loss: 2.0592 2022/07/27 20:50:38 - mmengine - INFO - Epoch(train) [66][2400/3757] lr: 7.1131e-03 eta: 1 day, 23:21:36 time: 0.4120 data_time: 0.0157 memory: 17007 grad_norm: 6.5113 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0997 loss: 2.0997 2022/07/27 20:50:45 - mmengine - INFO - Epoch(train) [66][2420/3757] lr: 7.1131e-03 eta: 1 day, 23:21:28 time: 0.3930 data_time: 0.0153 memory: 17007 grad_norm: 6.3108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2416 loss: 2.2416 2022/07/27 20:50:53 - mmengine - INFO - Epoch(train) [66][2440/3757] lr: 7.1131e-03 eta: 1 day, 23:21:20 time: 0.3926 data_time: 0.0145 memory: 17007 grad_norm: 6.4702 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9141 loss: 1.9141 2022/07/27 20:51:01 - mmengine - INFO - Epoch(train) [66][2460/3757] lr: 7.1131e-03 eta: 1 day, 23:21:12 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 6.3848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1530 loss: 2.1530 2022/07/27 20:51:09 - mmengine - INFO - Epoch(train) [66][2480/3757] lr: 7.1131e-03 eta: 1 day, 23:21:03 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 6.5537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0738 loss: 2.0738 2022/07/27 20:51:17 - mmengine - INFO - Epoch(train) [66][2500/3757] lr: 7.1131e-03 eta: 1 day, 23:20:55 time: 0.3951 data_time: 0.0144 memory: 17007 grad_norm: 6.3526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0777 loss: 2.0777 2022/07/27 20:51:25 - mmengine - INFO - Epoch(train) [66][2520/3757] lr: 7.1131e-03 eta: 1 day, 23:20:47 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 6.5381 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1636 loss: 2.1636 2022/07/27 20:51:33 - mmengine - INFO - Epoch(train) [66][2540/3757] lr: 7.1131e-03 eta: 1 day, 23:20:39 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 6.4735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3633 loss: 2.3633 2022/07/27 20:51:41 - mmengine - INFO - Epoch(train) [66][2560/3757] lr: 7.1131e-03 eta: 1 day, 23:20:32 time: 0.4015 data_time: 0.0164 memory: 17007 grad_norm: 6.2512 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9781 loss: 1.9781 2022/07/27 20:51:49 - mmengine - INFO - Epoch(train) [66][2580/3757] lr: 7.1131e-03 eta: 1 day, 23:20:24 time: 0.3930 data_time: 0.0148 memory: 17007 grad_norm: 6.3214 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1195 loss: 2.1195 2022/07/27 20:51:57 - mmengine - INFO - Epoch(train) [66][2600/3757] lr: 7.1131e-03 eta: 1 day, 23:20:16 time: 0.4063 data_time: 0.0164 memory: 17007 grad_norm: 6.3350 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2780 loss: 2.2780 2022/07/27 20:52:05 - mmengine - INFO - Epoch(train) [66][2620/3757] lr: 7.1131e-03 eta: 1 day, 23:20:08 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 6.2889 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1315 loss: 2.1315 2022/07/27 20:52:12 - mmengine - INFO - Epoch(train) [66][2640/3757] lr: 7.1131e-03 eta: 1 day, 23:20:00 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 6.6217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4461 loss: 2.4461 2022/07/27 20:52:21 - mmengine - INFO - Epoch(train) [66][2660/3757] lr: 7.1131e-03 eta: 1 day, 23:19:52 time: 0.4165 data_time: 0.0156 memory: 17007 grad_norm: 6.7217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2457 loss: 2.2457 2022/07/27 20:52:29 - mmengine - INFO - Epoch(train) [66][2680/3757] lr: 7.1131e-03 eta: 1 day, 23:19:44 time: 0.3927 data_time: 0.0156 memory: 17007 grad_norm: 6.4383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1212 loss: 2.1212 2022/07/27 20:52:37 - mmengine - INFO - Epoch(train) [66][2700/3757] lr: 7.1131e-03 eta: 1 day, 23:19:37 time: 0.4026 data_time: 0.0168 memory: 17007 grad_norm: 6.2963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0916 loss: 2.0916 2022/07/27 20:52:45 - mmengine - INFO - Epoch(train) [66][2720/3757] lr: 7.1131e-03 eta: 1 day, 23:19:29 time: 0.3940 data_time: 0.0164 memory: 17007 grad_norm: 6.5557 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2367 loss: 2.2367 2022/07/27 20:52:52 - mmengine - INFO - Epoch(train) [66][2740/3757] lr: 7.1131e-03 eta: 1 day, 23:19:21 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 6.5365 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2452 loss: 2.2452 2022/07/27 20:53:00 - mmengine - INFO - Epoch(train) [66][2760/3757] lr: 7.1131e-03 eta: 1 day, 23:19:13 time: 0.3997 data_time: 0.0168 memory: 17007 grad_norm: 6.6287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3089 loss: 2.3089 2022/07/27 20:53:08 - mmengine - INFO - Epoch(train) [66][2780/3757] lr: 7.1131e-03 eta: 1 day, 23:19:05 time: 0.3966 data_time: 0.0153 memory: 17007 grad_norm: 6.3311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0679 loss: 2.0679 2022/07/27 20:53:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:53:16 - mmengine - INFO - Epoch(train) [66][2800/3757] lr: 7.1131e-03 eta: 1 day, 23:18:57 time: 0.3953 data_time: 0.0155 memory: 17007 grad_norm: 6.4455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8526 loss: 1.8526 2022/07/27 20:53:24 - mmengine - INFO - Epoch(train) [66][2820/3757] lr: 7.1131e-03 eta: 1 day, 23:18:49 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 6.7746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2847 loss: 2.2847 2022/07/27 20:53:32 - mmengine - INFO - Epoch(train) [66][2840/3757] lr: 7.1131e-03 eta: 1 day, 23:18:41 time: 0.3927 data_time: 0.0150 memory: 17007 grad_norm: 6.5598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2340 loss: 2.2340 2022/07/27 20:53:40 - mmengine - INFO - Epoch(train) [66][2860/3757] lr: 7.1131e-03 eta: 1 day, 23:18:33 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 6.3796 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2037 loss: 2.2037 2022/07/27 20:53:48 - mmengine - INFO - Epoch(train) [66][2880/3757] lr: 7.1131e-03 eta: 1 day, 23:18:25 time: 0.4012 data_time: 0.0154 memory: 17007 grad_norm: 6.5405 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0304 loss: 2.0304 2022/07/27 20:53:56 - mmengine - INFO - Epoch(train) [66][2900/3757] lr: 7.1131e-03 eta: 1 day, 23:18:17 time: 0.3982 data_time: 0.0147 memory: 17007 grad_norm: 6.4542 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3862 loss: 2.3862 2022/07/27 20:54:04 - mmengine - INFO - Epoch(train) [66][2920/3757] lr: 7.1131e-03 eta: 1 day, 23:18:09 time: 0.3931 data_time: 0.0154 memory: 17007 grad_norm: 6.5829 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3850 loss: 2.3850 2022/07/27 20:54:12 - mmengine - INFO - Epoch(train) [66][2940/3757] lr: 7.1131e-03 eta: 1 day, 23:18:01 time: 0.3931 data_time: 0.0129 memory: 17007 grad_norm: 6.3687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1305 loss: 2.1305 2022/07/27 20:54:20 - mmengine - INFO - Epoch(train) [66][2960/3757] lr: 7.1131e-03 eta: 1 day, 23:17:53 time: 0.3958 data_time: 0.0149 memory: 17007 grad_norm: 6.4125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3699 loss: 2.3699 2022/07/27 20:54:28 - mmengine - INFO - Epoch(train) [66][2980/3757] lr: 7.1131e-03 eta: 1 day, 23:17:45 time: 0.3956 data_time: 0.0149 memory: 17007 grad_norm: 6.6249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3107 loss: 2.3107 2022/07/27 20:54:35 - mmengine - INFO - Epoch(train) [66][3000/3757] lr: 7.1131e-03 eta: 1 day, 23:17:37 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 6.6302 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3349 loss: 2.3349 2022/07/27 20:54:43 - mmengine - INFO - Epoch(train) [66][3020/3757] lr: 7.1131e-03 eta: 1 day, 23:17:29 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.5682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4734 loss: 2.4734 2022/07/27 20:54:51 - mmengine - INFO - Epoch(train) [66][3040/3757] lr: 7.1131e-03 eta: 1 day, 23:17:21 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 6.1784 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3240 loss: 2.3240 2022/07/27 20:54:59 - mmengine - INFO - Epoch(train) [66][3060/3757] lr: 7.1131e-03 eta: 1 day, 23:17:13 time: 0.3945 data_time: 0.0165 memory: 17007 grad_norm: 6.3526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0708 loss: 2.0708 2022/07/27 20:55:07 - mmengine - INFO - Epoch(train) [66][3080/3757] lr: 7.1131e-03 eta: 1 day, 23:17:05 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 6.3937 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1079 loss: 2.1079 2022/07/27 20:55:15 - mmengine - INFO - Epoch(train) [66][3100/3757] lr: 7.1131e-03 eta: 1 day, 23:16:57 time: 0.4044 data_time: 0.0166 memory: 17007 grad_norm: 6.3337 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0596 loss: 2.0596 2022/07/27 20:55:23 - mmengine - INFO - Epoch(train) [66][3120/3757] lr: 7.1131e-03 eta: 1 day, 23:16:49 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 6.8853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1529 loss: 2.1529 2022/07/27 20:55:31 - mmengine - INFO - Epoch(train) [66][3140/3757] lr: 7.1131e-03 eta: 1 day, 23:16:41 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 6.6842 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5778 loss: 2.5778 2022/07/27 20:55:39 - mmengine - INFO - Epoch(train) [66][3160/3757] lr: 7.1131e-03 eta: 1 day, 23:16:33 time: 0.3957 data_time: 0.0163 memory: 17007 grad_norm: 6.4026 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1989 loss: 2.1989 2022/07/27 20:55:47 - mmengine - INFO - Epoch(train) [66][3180/3757] lr: 7.1131e-03 eta: 1 day, 23:16:25 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 6.4216 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2118 loss: 2.2118 2022/07/27 20:55:55 - mmengine - INFO - Epoch(train) [66][3200/3757] lr: 7.1131e-03 eta: 1 day, 23:16:17 time: 0.4038 data_time: 0.0165 memory: 17007 grad_norm: 6.1843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5266 loss: 2.5266 2022/07/27 20:56:03 - mmengine - INFO - Epoch(train) [66][3220/3757] lr: 7.1131e-03 eta: 1 day, 23:16:09 time: 0.3923 data_time: 0.0143 memory: 17007 grad_norm: 6.3980 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3290 loss: 2.3290 2022/07/27 20:56:11 - mmengine - INFO - Epoch(train) [66][3240/3757] lr: 7.1131e-03 eta: 1 day, 23:16:01 time: 0.3971 data_time: 0.0154 memory: 17007 grad_norm: 6.2062 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9992 loss: 1.9992 2022/07/27 20:56:19 - mmengine - INFO - Epoch(train) [66][3260/3757] lr: 7.1131e-03 eta: 1 day, 23:15:54 time: 0.4232 data_time: 0.0167 memory: 17007 grad_norm: 6.4570 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2159 loss: 2.2159 2022/07/27 20:56:27 - mmengine - INFO - Epoch(train) [66][3280/3757] lr: 7.1131e-03 eta: 1 day, 23:15:47 time: 0.4068 data_time: 0.0163 memory: 17007 grad_norm: 6.4634 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4741 loss: 2.4741 2022/07/27 20:56:35 - mmengine - INFO - Epoch(train) [66][3300/3757] lr: 7.1131e-03 eta: 1 day, 23:15:39 time: 0.3950 data_time: 0.0154 memory: 17007 grad_norm: 6.6717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2835 loss: 2.2835 2022/07/27 20:56:43 - mmengine - INFO - Epoch(train) [66][3320/3757] lr: 7.1131e-03 eta: 1 day, 23:15:31 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 6.4007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4423 loss: 2.4423 2022/07/27 20:56:51 - mmengine - INFO - Epoch(train) [66][3340/3757] lr: 7.1131e-03 eta: 1 day, 23:15:23 time: 0.3958 data_time: 0.0151 memory: 17007 grad_norm: 6.5415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0939 loss: 2.0939 2022/07/27 20:56:59 - mmengine - INFO - Epoch(train) [66][3360/3757] lr: 7.1131e-03 eta: 1 day, 23:15:15 time: 0.3955 data_time: 0.0177 memory: 17007 grad_norm: 6.3487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1719 loss: 2.1719 2022/07/27 20:57:07 - mmengine - INFO - Epoch(train) [66][3380/3757] lr: 7.1131e-03 eta: 1 day, 23:15:07 time: 0.3991 data_time: 0.0150 memory: 17007 grad_norm: 6.6699 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1380 loss: 2.1380 2022/07/27 20:57:15 - mmengine - INFO - Epoch(train) [66][3400/3757] lr: 7.1131e-03 eta: 1 day, 23:14:59 time: 0.3987 data_time: 0.0173 memory: 17007 grad_norm: 6.8560 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4130 loss: 2.4130 2022/07/27 20:57:23 - mmengine - INFO - Epoch(train) [66][3420/3757] lr: 7.1131e-03 eta: 1 day, 23:14:51 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.1207 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0307 loss: 2.0307 2022/07/27 20:57:31 - mmengine - INFO - Epoch(train) [66][3440/3757] lr: 7.1131e-03 eta: 1 day, 23:14:43 time: 0.4026 data_time: 0.0162 memory: 17007 grad_norm: 6.6338 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2238 loss: 2.2238 2022/07/27 20:57:39 - mmengine - INFO - Epoch(train) [66][3460/3757] lr: 7.1131e-03 eta: 1 day, 23:14:35 time: 0.3986 data_time: 0.0162 memory: 17007 grad_norm: 6.4105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2754 loss: 2.2754 2022/07/27 20:57:47 - mmengine - INFO - Epoch(train) [66][3480/3757] lr: 7.1131e-03 eta: 1 day, 23:14:27 time: 0.4027 data_time: 0.0154 memory: 17007 grad_norm: 6.5416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3007 loss: 2.3007 2022/07/27 20:57:55 - mmengine - INFO - Epoch(train) [66][3500/3757] lr: 7.1131e-03 eta: 1 day, 23:14:20 time: 0.3970 data_time: 0.0152 memory: 17007 grad_norm: 6.5041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5535 loss: 2.5535 2022/07/27 20:58:03 - mmengine - INFO - Epoch(train) [66][3520/3757] lr: 7.1131e-03 eta: 1 day, 23:14:12 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 6.6773 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3330 loss: 2.3330 2022/07/27 20:58:11 - mmengine - INFO - Epoch(train) [66][3540/3757] lr: 7.1131e-03 eta: 1 day, 23:14:04 time: 0.4002 data_time: 0.0160 memory: 17007 grad_norm: 6.4040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3915 loss: 2.3915 2022/07/27 20:58:18 - mmengine - INFO - Epoch(train) [66][3560/3757] lr: 7.1131e-03 eta: 1 day, 23:13:56 time: 0.3958 data_time: 0.0166 memory: 17007 grad_norm: 6.4999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2010 loss: 2.2010 2022/07/27 20:58:27 - mmengine - INFO - Epoch(train) [66][3580/3757] lr: 7.1131e-03 eta: 1 day, 23:13:48 time: 0.4113 data_time: 0.0161 memory: 17007 grad_norm: 6.5693 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2408 loss: 2.2408 2022/07/27 20:58:35 - mmengine - INFO - Epoch(train) [66][3600/3757] lr: 7.1131e-03 eta: 1 day, 23:13:40 time: 0.3980 data_time: 0.0164 memory: 17007 grad_norm: 6.2505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1241 loss: 2.1241 2022/07/27 20:58:43 - mmengine - INFO - Epoch(train) [66][3620/3757] lr: 7.1131e-03 eta: 1 day, 23:13:32 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 6.2116 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0591 loss: 2.0591 2022/07/27 20:58:50 - mmengine - INFO - Epoch(train) [66][3640/3757] lr: 7.1131e-03 eta: 1 day, 23:13:24 time: 0.3949 data_time: 0.0154 memory: 17007 grad_norm: 6.5271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2866 loss: 2.2866 2022/07/27 20:58:59 - mmengine - INFO - Epoch(train) [66][3660/3757] lr: 7.1131e-03 eta: 1 day, 23:13:17 time: 0.4025 data_time: 0.0142 memory: 17007 grad_norm: 6.5012 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0844 loss: 2.0844 2022/07/27 20:59:07 - mmengine - INFO - Epoch(train) [66][3680/3757] lr: 7.1131e-03 eta: 1 day, 23:13:09 time: 0.3987 data_time: 0.0153 memory: 17007 grad_norm: 6.5035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3947 loss: 2.3947 2022/07/27 20:59:14 - mmengine - INFO - Epoch(train) [66][3700/3757] lr: 7.1131e-03 eta: 1 day, 23:13:01 time: 0.3971 data_time: 0.0138 memory: 17007 grad_norm: 6.6127 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3639 loss: 2.3639 2022/07/27 20:59:22 - mmengine - INFO - Epoch(train) [66][3720/3757] lr: 7.1131e-03 eta: 1 day, 23:12:53 time: 0.3962 data_time: 0.0152 memory: 17007 grad_norm: 6.2464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9958 loss: 1.9958 2022/07/27 20:59:30 - mmengine - INFO - Epoch(train) [66][3740/3757] lr: 7.1131e-03 eta: 1 day, 23:12:45 time: 0.3929 data_time: 0.0137 memory: 17007 grad_norm: 6.4762 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2949 loss: 2.2949 2022/07/27 20:59:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:59:37 - mmengine - INFO - Epoch(train) [66][3757/3757] lr: 7.1131e-03 eta: 1 day, 23:12:45 time: 0.3912 data_time: 0.0169 memory: 17007 grad_norm: 6.5848 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 2.4915 loss: 2.4915 2022/07/27 20:59:37 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/07/27 20:59:49 - mmengine - INFO - Epoch(train) [67][20/3757] lr: 7.0337e-03 eta: 1 day, 23:12:21 time: 0.4659 data_time: 0.0862 memory: 17007 grad_norm: 6.3226 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1550 loss: 2.1550 2022/07/27 20:59:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 20:59:57 - mmengine - INFO - Epoch(train) [67][40/3757] lr: 7.0337e-03 eta: 1 day, 23:12:13 time: 0.4082 data_time: 0.0192 memory: 17007 grad_norm: 6.3219 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2284 loss: 2.2284 2022/07/27 21:00:05 - mmengine - INFO - Epoch(train) [67][60/3757] lr: 7.0337e-03 eta: 1 day, 23:12:05 time: 0.3916 data_time: 0.0124 memory: 17007 grad_norm: 6.2577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2208 loss: 2.2208 2022/07/27 21:00:13 - mmengine - INFO - Epoch(train) [67][80/3757] lr: 7.0337e-03 eta: 1 day, 23:11:57 time: 0.3926 data_time: 0.0150 memory: 17007 grad_norm: 6.2619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0951 loss: 2.0951 2022/07/27 21:00:21 - mmengine - INFO - Epoch(train) [67][100/3757] lr: 7.0337e-03 eta: 1 day, 23:11:50 time: 0.4138 data_time: 0.0155 memory: 17007 grad_norm: 6.4201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8999 loss: 1.8999 2022/07/27 21:00:29 - mmengine - INFO - Epoch(train) [67][120/3757] lr: 7.0337e-03 eta: 1 day, 23:11:42 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 6.4984 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4230 loss: 2.4230 2022/07/27 21:00:37 - mmengine - INFO - Epoch(train) [67][140/3757] lr: 7.0337e-03 eta: 1 day, 23:11:34 time: 0.4005 data_time: 0.0143 memory: 17007 grad_norm: 6.5805 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3621 loss: 2.3621 2022/07/27 21:00:45 - mmengine - INFO - Epoch(train) [67][160/3757] lr: 7.0337e-03 eta: 1 day, 23:11:26 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 6.4398 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2217 loss: 2.2217 2022/07/27 21:00:53 - mmengine - INFO - Epoch(train) [67][180/3757] lr: 7.0337e-03 eta: 1 day, 23:11:18 time: 0.3913 data_time: 0.0139 memory: 17007 grad_norm: 6.5516 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8842 loss: 1.8842 2022/07/27 21:01:01 - mmengine - INFO - Epoch(train) [67][200/3757] lr: 7.0337e-03 eta: 1 day, 23:11:10 time: 0.4082 data_time: 0.0148 memory: 17007 grad_norm: 6.3997 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0112 loss: 2.0112 2022/07/27 21:01:09 - mmengine - INFO - Epoch(train) [67][220/3757] lr: 7.0337e-03 eta: 1 day, 23:11:02 time: 0.3908 data_time: 0.0139 memory: 17007 grad_norm: 6.4437 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3397 loss: 2.3397 2022/07/27 21:01:17 - mmengine - INFO - Epoch(train) [67][240/3757] lr: 7.0337e-03 eta: 1 day, 23:10:55 time: 0.4245 data_time: 0.0169 memory: 17007 grad_norm: 6.3609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2066 loss: 2.2066 2022/07/27 21:01:25 - mmengine - INFO - Epoch(train) [67][260/3757] lr: 7.0337e-03 eta: 1 day, 23:10:47 time: 0.3922 data_time: 0.0141 memory: 17007 grad_norm: 6.6306 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0980 loss: 2.0980 2022/07/27 21:01:33 - mmengine - INFO - Epoch(train) [67][280/3757] lr: 7.0337e-03 eta: 1 day, 23:10:39 time: 0.3921 data_time: 0.0148 memory: 17007 grad_norm: 6.4561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9221 loss: 1.9221 2022/07/27 21:01:41 - mmengine - INFO - Epoch(train) [67][300/3757] lr: 7.0337e-03 eta: 1 day, 23:10:31 time: 0.4021 data_time: 0.0159 memory: 17007 grad_norm: 6.5041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7824 loss: 1.7824 2022/07/27 21:01:49 - mmengine - INFO - Epoch(train) [67][320/3757] lr: 7.0337e-03 eta: 1 day, 23:10:23 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 6.4543 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3932 loss: 2.3932 2022/07/27 21:01:57 - mmengine - INFO - Epoch(train) [67][340/3757] lr: 7.0337e-03 eta: 1 day, 23:10:15 time: 0.3937 data_time: 0.0135 memory: 17007 grad_norm: 6.4934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2064 loss: 2.2064 2022/07/27 21:02:05 - mmengine - INFO - Epoch(train) [67][360/3757] lr: 7.0337e-03 eta: 1 day, 23:10:07 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 6.5965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1780 loss: 2.1780 2022/07/27 21:02:13 - mmengine - INFO - Epoch(train) [67][380/3757] lr: 7.0337e-03 eta: 1 day, 23:09:59 time: 0.3928 data_time: 0.0146 memory: 17007 grad_norm: 6.6703 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3853 loss: 2.3853 2022/07/27 21:02:21 - mmengine - INFO - Epoch(train) [67][400/3757] lr: 7.0337e-03 eta: 1 day, 23:09:51 time: 0.4031 data_time: 0.0167 memory: 17007 grad_norm: 6.4830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0701 loss: 2.0701 2022/07/27 21:02:29 - mmengine - INFO - Epoch(train) [67][420/3757] lr: 7.0337e-03 eta: 1 day, 23:09:43 time: 0.3927 data_time: 0.0137 memory: 17007 grad_norm: 6.3686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9828 loss: 1.9828 2022/07/27 21:02:37 - mmengine - INFO - Epoch(train) [67][440/3757] lr: 7.0337e-03 eta: 1 day, 23:09:35 time: 0.3961 data_time: 0.0165 memory: 17007 grad_norm: 6.7496 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2467 loss: 2.2467 2022/07/27 21:02:44 - mmengine - INFO - Epoch(train) [67][460/3757] lr: 7.0337e-03 eta: 1 day, 23:09:27 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 6.6071 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1814 loss: 2.1814 2022/07/27 21:02:52 - mmengine - INFO - Epoch(train) [67][480/3757] lr: 7.0337e-03 eta: 1 day, 23:09:19 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 6.6194 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0435 loss: 2.0435 2022/07/27 21:03:00 - mmengine - INFO - Epoch(train) [67][500/3757] lr: 7.0337e-03 eta: 1 day, 23:09:11 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 6.3322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1306 loss: 2.1306 2022/07/27 21:03:08 - mmengine - INFO - Epoch(train) [67][520/3757] lr: 7.0337e-03 eta: 1 day, 23:09:03 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 6.2294 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1229 loss: 2.1229 2022/07/27 21:03:16 - mmengine - INFO - Epoch(train) [67][540/3757] lr: 7.0337e-03 eta: 1 day, 23:08:56 time: 0.4143 data_time: 0.0155 memory: 17007 grad_norm: 6.4110 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2174 loss: 2.2174 2022/07/27 21:03:24 - mmengine - INFO - Epoch(train) [67][560/3757] lr: 7.0337e-03 eta: 1 day, 23:08:48 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 6.5442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7013 loss: 2.7013 2022/07/27 21:03:32 - mmengine - INFO - Epoch(train) [67][580/3757] lr: 7.0337e-03 eta: 1 day, 23:08:40 time: 0.3994 data_time: 0.0144 memory: 17007 grad_norm: 6.4798 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0583 loss: 2.0583 2022/07/27 21:03:40 - mmengine - INFO - Epoch(train) [67][600/3757] lr: 7.0337e-03 eta: 1 day, 23:08:32 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.3249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9917 loss: 1.9917 2022/07/27 21:03:48 - mmengine - INFO - Epoch(train) [67][620/3757] lr: 7.0337e-03 eta: 1 day, 23:08:24 time: 0.4059 data_time: 0.0149 memory: 17007 grad_norm: 6.6290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3474 loss: 2.3474 2022/07/27 21:03:56 - mmengine - INFO - Epoch(train) [67][640/3757] lr: 7.0337e-03 eta: 1 day, 23:08:16 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 6.2205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1057 loss: 2.1057 2022/07/27 21:04:04 - mmengine - INFO - Epoch(train) [67][660/3757] lr: 7.0337e-03 eta: 1 day, 23:08:08 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 6.7590 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3254 loss: 2.3254 2022/07/27 21:04:12 - mmengine - INFO - Epoch(train) [67][680/3757] lr: 7.0337e-03 eta: 1 day, 23:08:00 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 6.3916 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9984 loss: 1.9984 2022/07/27 21:04:20 - mmengine - INFO - Epoch(train) [67][700/3757] lr: 7.0337e-03 eta: 1 day, 23:07:52 time: 0.3982 data_time: 0.0150 memory: 17007 grad_norm: 6.5602 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3886 loss: 2.3886 2022/07/27 21:04:28 - mmengine - INFO - Epoch(train) [67][720/3757] lr: 7.0337e-03 eta: 1 day, 23:07:44 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 6.5227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1519 loss: 2.1519 2022/07/27 21:04:36 - mmengine - INFO - Epoch(train) [67][740/3757] lr: 7.0337e-03 eta: 1 day, 23:07:37 time: 0.4128 data_time: 0.0162 memory: 17007 grad_norm: 6.5990 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0365 loss: 2.0365 2022/07/27 21:04:44 - mmengine - INFO - Epoch(train) [67][760/3757] lr: 7.0337e-03 eta: 1 day, 23:07:29 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 6.4691 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0733 loss: 2.0733 2022/07/27 21:04:52 - mmengine - INFO - Epoch(train) [67][780/3757] lr: 7.0337e-03 eta: 1 day, 23:07:21 time: 0.3933 data_time: 0.0149 memory: 17007 grad_norm: 6.4711 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2685 loss: 2.2685 2022/07/27 21:05:00 - mmengine - INFO - Epoch(train) [67][800/3757] lr: 7.0337e-03 eta: 1 day, 23:07:13 time: 0.4065 data_time: 0.0153 memory: 17007 grad_norm: 6.5196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2433 loss: 2.2433 2022/07/27 21:05:08 - mmengine - INFO - Epoch(train) [67][820/3757] lr: 7.0337e-03 eta: 1 day, 23:07:05 time: 0.3930 data_time: 0.0142 memory: 17007 grad_norm: 6.5201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2022 loss: 2.2022 2022/07/27 21:05:16 - mmengine - INFO - Epoch(train) [67][840/3757] lr: 7.0337e-03 eta: 1 day, 23:06:57 time: 0.4010 data_time: 0.0162 memory: 17007 grad_norm: 6.6730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3596 loss: 2.3596 2022/07/27 21:05:24 - mmengine - INFO - Epoch(train) [67][860/3757] lr: 7.0337e-03 eta: 1 day, 23:06:49 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 6.4067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0352 loss: 2.0352 2022/07/27 21:05:32 - mmengine - INFO - Epoch(train) [67][880/3757] lr: 7.0337e-03 eta: 1 day, 23:06:41 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 6.4540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4151 loss: 2.4151 2022/07/27 21:05:40 - mmengine - INFO - Epoch(train) [67][900/3757] lr: 7.0337e-03 eta: 1 day, 23:06:34 time: 0.4189 data_time: 0.0166 memory: 17007 grad_norm: 6.3772 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3243 loss: 2.3243 2022/07/27 21:05:48 - mmengine - INFO - Epoch(train) [67][920/3757] lr: 7.0337e-03 eta: 1 day, 23:06:26 time: 0.3936 data_time: 0.0163 memory: 17007 grad_norm: 6.4984 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1350 loss: 2.1350 2022/07/27 21:05:56 - mmengine - INFO - Epoch(train) [67][940/3757] lr: 7.0337e-03 eta: 1 day, 23:06:18 time: 0.4013 data_time: 0.0157 memory: 17007 grad_norm: 6.5007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8965 loss: 1.8965 2022/07/27 21:06:04 - mmengine - INFO - Epoch(train) [67][960/3757] lr: 7.0337e-03 eta: 1 day, 23:06:10 time: 0.3939 data_time: 0.0148 memory: 17007 grad_norm: 6.5852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0315 loss: 2.0315 2022/07/27 21:06:12 - mmengine - INFO - Epoch(train) [67][980/3757] lr: 7.0337e-03 eta: 1 day, 23:06:02 time: 0.3926 data_time: 0.0141 memory: 17007 grad_norm: 6.4430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9785 loss: 1.9785 2022/07/27 21:06:20 - mmengine - INFO - Epoch(train) [67][1000/3757] lr: 7.0337e-03 eta: 1 day, 23:05:55 time: 0.4170 data_time: 0.0145 memory: 17007 grad_norm: 6.5945 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2676 loss: 2.2676 2022/07/27 21:06:28 - mmengine - INFO - Epoch(train) [67][1020/3757] lr: 7.0337e-03 eta: 1 day, 23:05:47 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 6.4761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1331 loss: 2.1331 2022/07/27 21:06:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:06:36 - mmengine - INFO - Epoch(train) [67][1040/3757] lr: 7.0337e-03 eta: 1 day, 23:05:39 time: 0.4190 data_time: 0.0177 memory: 17007 grad_norm: 6.4719 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5502 loss: 2.5502 2022/07/27 21:06:44 - mmengine - INFO - Epoch(train) [67][1060/3757] lr: 7.0337e-03 eta: 1 day, 23:05:31 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 6.7065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3737 loss: 2.3737 2022/07/27 21:06:52 - mmengine - INFO - Epoch(train) [67][1080/3757] lr: 7.0337e-03 eta: 1 day, 23:05:23 time: 0.3973 data_time: 0.0162 memory: 17007 grad_norm: 6.4074 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9737 loss: 1.9737 2022/07/27 21:07:00 - mmengine - INFO - Epoch(train) [67][1100/3757] lr: 7.0337e-03 eta: 1 day, 23:05:15 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 6.4398 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3331 loss: 2.3331 2022/07/27 21:07:08 - mmengine - INFO - Epoch(train) [67][1120/3757] lr: 7.0337e-03 eta: 1 day, 23:05:08 time: 0.4008 data_time: 0.0176 memory: 17007 grad_norm: 6.5927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3628 loss: 2.3628 2022/07/27 21:07:16 - mmengine - INFO - Epoch(train) [67][1140/3757] lr: 7.0337e-03 eta: 1 day, 23:05:00 time: 0.3948 data_time: 0.0152 memory: 17007 grad_norm: 6.4893 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2321 loss: 2.2321 2022/07/27 21:07:24 - mmengine - INFO - Epoch(train) [67][1160/3757] lr: 7.0337e-03 eta: 1 day, 23:04:51 time: 0.3931 data_time: 0.0146 memory: 17007 grad_norm: 6.4077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2021 loss: 2.2021 2022/07/27 21:07:32 - mmengine - INFO - Epoch(train) [67][1180/3757] lr: 7.0337e-03 eta: 1 day, 23:04:44 time: 0.4048 data_time: 0.0174 memory: 17007 grad_norm: 6.6315 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2922 loss: 2.2922 2022/07/27 21:07:40 - mmengine - INFO - Epoch(train) [67][1200/3757] lr: 7.0337e-03 eta: 1 day, 23:04:36 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.3428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3196 loss: 2.3196 2022/07/27 21:07:48 - mmengine - INFO - Epoch(train) [67][1220/3757] lr: 7.0337e-03 eta: 1 day, 23:04:29 time: 0.4210 data_time: 0.0156 memory: 17007 grad_norm: 6.4745 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5587 loss: 2.5587 2022/07/27 21:07:56 - mmengine - INFO - Epoch(train) [67][1240/3757] lr: 7.0337e-03 eta: 1 day, 23:04:21 time: 0.3931 data_time: 0.0163 memory: 17007 grad_norm: 6.5570 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1304 loss: 2.1304 2022/07/27 21:08:04 - mmengine - INFO - Epoch(train) [67][1260/3757] lr: 7.0337e-03 eta: 1 day, 23:04:13 time: 0.3924 data_time: 0.0151 memory: 17007 grad_norm: 6.4766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3340 loss: 2.3340 2022/07/27 21:08:12 - mmengine - INFO - Epoch(train) [67][1280/3757] lr: 7.0337e-03 eta: 1 day, 23:04:05 time: 0.4042 data_time: 0.0173 memory: 17007 grad_norm: 6.3822 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3704 loss: 2.3704 2022/07/27 21:08:20 - mmengine - INFO - Epoch(train) [67][1300/3757] lr: 7.0337e-03 eta: 1 day, 23:03:57 time: 0.4026 data_time: 0.0166 memory: 17007 grad_norm: 6.4607 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1665 loss: 2.1665 2022/07/27 21:08:28 - mmengine - INFO - Epoch(train) [67][1320/3757] lr: 7.0337e-03 eta: 1 day, 23:03:49 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 6.5535 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1041 loss: 2.1041 2022/07/27 21:08:36 - mmengine - INFO - Epoch(train) [67][1340/3757] lr: 7.0337e-03 eta: 1 day, 23:03:41 time: 0.4028 data_time: 0.0160 memory: 17007 grad_norm: 6.2761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0891 loss: 2.0891 2022/07/27 21:08:44 - mmengine - INFO - Epoch(train) [67][1360/3757] lr: 7.0337e-03 eta: 1 day, 23:03:33 time: 0.3942 data_time: 0.0162 memory: 17007 grad_norm: 6.2715 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1703 loss: 2.1703 2022/07/27 21:08:52 - mmengine - INFO - Epoch(train) [67][1380/3757] lr: 7.0337e-03 eta: 1 day, 23:03:25 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 6.4748 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2882 loss: 2.2882 2022/07/27 21:09:00 - mmengine - INFO - Epoch(train) [67][1400/3757] lr: 7.0337e-03 eta: 1 day, 23:03:18 time: 0.4039 data_time: 0.0165 memory: 17007 grad_norm: 6.3661 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1707 loss: 2.1707 2022/07/27 21:09:08 - mmengine - INFO - Epoch(train) [67][1420/3757] lr: 7.0337e-03 eta: 1 day, 23:03:09 time: 0.3900 data_time: 0.0132 memory: 17007 grad_norm: 6.4690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4651 loss: 2.4651 2022/07/27 21:09:16 - mmengine - INFO - Epoch(train) [67][1440/3757] lr: 7.0337e-03 eta: 1 day, 23:03:02 time: 0.4035 data_time: 0.0170 memory: 17007 grad_norm: 6.5203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2897 loss: 2.2897 2022/07/27 21:09:24 - mmengine - INFO - Epoch(train) [67][1460/3757] lr: 7.0337e-03 eta: 1 day, 23:02:54 time: 0.3912 data_time: 0.0143 memory: 17007 grad_norm: 6.3631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3268 loss: 2.3268 2022/07/27 21:09:32 - mmengine - INFO - Epoch(train) [67][1480/3757] lr: 7.0337e-03 eta: 1 day, 23:02:46 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 6.7281 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2794 loss: 2.2794 2022/07/27 21:09:40 - mmengine - INFO - Epoch(train) [67][1500/3757] lr: 7.0337e-03 eta: 1 day, 23:02:38 time: 0.4036 data_time: 0.0198 memory: 17007 grad_norm: 6.4272 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2928 loss: 2.2928 2022/07/27 21:09:47 - mmengine - INFO - Epoch(train) [67][1520/3757] lr: 7.0337e-03 eta: 1 day, 23:02:30 time: 0.3929 data_time: 0.0149 memory: 17007 grad_norm: 6.5346 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1037 loss: 2.1037 2022/07/27 21:09:55 - mmengine - INFO - Epoch(train) [67][1540/3757] lr: 7.0337e-03 eta: 1 day, 23:02:22 time: 0.3958 data_time: 0.0164 memory: 17007 grad_norm: 6.3933 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8336 loss: 1.8336 2022/07/27 21:10:03 - mmengine - INFO - Epoch(train) [67][1560/3757] lr: 7.0337e-03 eta: 1 day, 23:02:14 time: 0.3924 data_time: 0.0145 memory: 17007 grad_norm: 6.2715 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2415 loss: 2.2415 2022/07/27 21:10:12 - mmengine - INFO - Epoch(train) [67][1580/3757] lr: 7.0337e-03 eta: 1 day, 23:02:07 time: 0.4174 data_time: 0.0164 memory: 17007 grad_norm: 6.3892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9604 loss: 1.9604 2022/07/27 21:10:20 - mmengine - INFO - Epoch(train) [67][1600/3757] lr: 7.0337e-03 eta: 1 day, 23:01:59 time: 0.3966 data_time: 0.0171 memory: 17007 grad_norm: 6.7030 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1733 loss: 2.1733 2022/07/27 21:10:28 - mmengine - INFO - Epoch(train) [67][1620/3757] lr: 7.0337e-03 eta: 1 day, 23:01:51 time: 0.4166 data_time: 0.0143 memory: 17007 grad_norm: 6.3515 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2084 loss: 2.2084 2022/07/27 21:10:36 - mmengine - INFO - Epoch(train) [67][1640/3757] lr: 7.0337e-03 eta: 1 day, 23:01:43 time: 0.3968 data_time: 0.0167 memory: 17007 grad_norm: 6.2070 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0746 loss: 2.0746 2022/07/27 21:10:44 - mmengine - INFO - Epoch(train) [67][1660/3757] lr: 7.0337e-03 eta: 1 day, 23:01:35 time: 0.3930 data_time: 0.0148 memory: 17007 grad_norm: 6.6157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1244 loss: 2.1244 2022/07/27 21:10:52 - mmengine - INFO - Epoch(train) [67][1680/3757] lr: 7.0337e-03 eta: 1 day, 23:01:27 time: 0.3960 data_time: 0.0150 memory: 17007 grad_norm: 6.7537 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3574 loss: 2.3574 2022/07/27 21:11:00 - mmengine - INFO - Epoch(train) [67][1700/3757] lr: 7.0337e-03 eta: 1 day, 23:01:19 time: 0.3975 data_time: 0.0147 memory: 17007 grad_norm: 6.7356 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0212 loss: 2.0212 2022/07/27 21:11:07 - mmengine - INFO - Epoch(train) [67][1720/3757] lr: 7.0337e-03 eta: 1 day, 23:01:11 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 6.6978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0379 loss: 2.0379 2022/07/27 21:11:15 - mmengine - INFO - Epoch(train) [67][1740/3757] lr: 7.0337e-03 eta: 1 day, 23:01:03 time: 0.3929 data_time: 0.0145 memory: 17007 grad_norm: 6.4277 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4847 loss: 2.4847 2022/07/27 21:11:23 - mmengine - INFO - Epoch(train) [67][1760/3757] lr: 7.0337e-03 eta: 1 day, 23:00:55 time: 0.3954 data_time: 0.0153 memory: 17007 grad_norm: 6.5561 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9532 loss: 1.9532 2022/07/27 21:11:31 - mmengine - INFO - Epoch(train) [67][1780/3757] lr: 7.0337e-03 eta: 1 day, 23:00:48 time: 0.4004 data_time: 0.0147 memory: 17007 grad_norm: 6.7868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2330 loss: 2.2330 2022/07/27 21:11:39 - mmengine - INFO - Epoch(train) [67][1800/3757] lr: 7.0337e-03 eta: 1 day, 23:00:40 time: 0.3966 data_time: 0.0164 memory: 17007 grad_norm: 6.6591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3642 loss: 2.3642 2022/07/27 21:11:47 - mmengine - INFO - Epoch(train) [67][1820/3757] lr: 7.0337e-03 eta: 1 day, 23:00:32 time: 0.4063 data_time: 0.0141 memory: 17007 grad_norm: 6.6820 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0158 loss: 2.0158 2022/07/27 21:11:55 - mmengine - INFO - Epoch(train) [67][1840/3757] lr: 7.0337e-03 eta: 1 day, 23:00:24 time: 0.3933 data_time: 0.0158 memory: 17007 grad_norm: 6.4044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4366 loss: 2.4366 2022/07/27 21:12:03 - mmengine - INFO - Epoch(train) [67][1860/3757] lr: 7.0337e-03 eta: 1 day, 23:00:16 time: 0.3959 data_time: 0.0158 memory: 17007 grad_norm: 6.5590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1942 loss: 2.1942 2022/07/27 21:12:11 - mmengine - INFO - Epoch(train) [67][1880/3757] lr: 7.0337e-03 eta: 1 day, 23:00:09 time: 0.4111 data_time: 0.0176 memory: 17007 grad_norm: 6.4294 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0926 loss: 2.0926 2022/07/27 21:12:19 - mmengine - INFO - Epoch(train) [67][1900/3757] lr: 7.0337e-03 eta: 1 day, 23:00:00 time: 0.3926 data_time: 0.0135 memory: 17007 grad_norm: 6.3941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1790 loss: 2.1790 2022/07/27 21:12:27 - mmengine - INFO - Epoch(train) [67][1920/3757] lr: 7.0337e-03 eta: 1 day, 22:59:53 time: 0.4084 data_time: 0.0168 memory: 17007 grad_norm: 6.3758 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2734 loss: 2.2734 2022/07/27 21:12:35 - mmengine - INFO - Epoch(train) [67][1940/3757] lr: 7.0337e-03 eta: 1 day, 22:59:45 time: 0.3929 data_time: 0.0144 memory: 17007 grad_norm: 6.3636 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3345 loss: 2.3345 2022/07/27 21:12:43 - mmengine - INFO - Epoch(train) [67][1960/3757] lr: 7.0337e-03 eta: 1 day, 22:59:37 time: 0.3938 data_time: 0.0148 memory: 17007 grad_norm: 6.5622 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8966 loss: 1.8966 2022/07/27 21:12:51 - mmengine - INFO - Epoch(train) [67][1980/3757] lr: 7.0337e-03 eta: 1 day, 22:59:29 time: 0.4003 data_time: 0.0155 memory: 17007 grad_norm: 6.2596 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3214 loss: 2.3214 2022/07/27 21:12:59 - mmengine - INFO - Epoch(train) [67][2000/3757] lr: 7.0337e-03 eta: 1 day, 22:59:21 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 6.4852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1237 loss: 2.1237 2022/07/27 21:13:07 - mmengine - INFO - Epoch(train) [67][2020/3757] lr: 7.0337e-03 eta: 1 day, 22:59:13 time: 0.4062 data_time: 0.0157 memory: 17007 grad_norm: 6.5472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0868 loss: 2.0868 2022/07/27 21:13:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:13:15 - mmengine - INFO - Epoch(train) [67][2040/3757] lr: 7.0337e-03 eta: 1 day, 22:59:05 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 6.3875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8823 loss: 1.8823 2022/07/27 21:13:23 - mmengine - INFO - Epoch(train) [67][2060/3757] lr: 7.0337e-03 eta: 1 day, 22:58:57 time: 0.3950 data_time: 0.0160 memory: 17007 grad_norm: 6.5508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3494 loss: 2.3494 2022/07/27 21:13:31 - mmengine - INFO - Epoch(train) [67][2080/3757] lr: 7.0337e-03 eta: 1 day, 22:58:50 time: 0.4124 data_time: 0.0175 memory: 17007 grad_norm: 6.5645 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2155 loss: 2.2155 2022/07/27 21:13:39 - mmengine - INFO - Epoch(train) [67][2100/3757] lr: 7.0337e-03 eta: 1 day, 22:58:42 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 6.7869 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4969 loss: 2.4969 2022/07/27 21:13:47 - mmengine - INFO - Epoch(train) [67][2120/3757] lr: 7.0337e-03 eta: 1 day, 22:58:34 time: 0.4047 data_time: 0.0159 memory: 17007 grad_norm: 6.5781 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0734 loss: 2.0734 2022/07/27 21:13:55 - mmengine - INFO - Epoch(train) [67][2140/3757] lr: 7.0337e-03 eta: 1 day, 22:58:26 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 6.5933 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9723 loss: 1.9723 2022/07/27 21:14:03 - mmengine - INFO - Epoch(train) [67][2160/3757] lr: 7.0337e-03 eta: 1 day, 22:58:18 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 6.4988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2160 loss: 2.2160 2022/07/27 21:14:11 - mmengine - INFO - Epoch(train) [67][2180/3757] lr: 7.0337e-03 eta: 1 day, 22:58:10 time: 0.4009 data_time: 0.0144 memory: 17007 grad_norm: 6.4072 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5609 loss: 2.5609 2022/07/27 21:14:19 - mmengine - INFO - Epoch(train) [67][2200/3757] lr: 7.0337e-03 eta: 1 day, 22:58:02 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 6.4590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1176 loss: 2.1176 2022/07/27 21:14:27 - mmengine - INFO - Epoch(train) [67][2220/3757] lr: 7.0337e-03 eta: 1 day, 22:57:54 time: 0.3950 data_time: 0.0149 memory: 17007 grad_norm: 6.6183 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3240 loss: 2.3240 2022/07/27 21:14:35 - mmengine - INFO - Epoch(train) [67][2240/3757] lr: 7.0337e-03 eta: 1 day, 22:57:46 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 6.4583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0149 loss: 2.0149 2022/07/27 21:14:43 - mmengine - INFO - Epoch(train) [67][2260/3757] lr: 7.0337e-03 eta: 1 day, 22:57:38 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 6.3634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9813 loss: 1.9813 2022/07/27 21:14:51 - mmengine - INFO - Epoch(train) [67][2280/3757] lr: 7.0337e-03 eta: 1 day, 22:57:30 time: 0.4042 data_time: 0.0161 memory: 17007 grad_norm: 6.5714 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1963 loss: 2.1963 2022/07/27 21:14:58 - mmengine - INFO - Epoch(train) [67][2300/3757] lr: 7.0337e-03 eta: 1 day, 22:57:22 time: 0.3929 data_time: 0.0139 memory: 17007 grad_norm: 6.5642 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0565 loss: 2.0565 2022/07/27 21:15:07 - mmengine - INFO - Epoch(train) [67][2320/3757] lr: 7.0337e-03 eta: 1 day, 22:57:15 time: 0.4079 data_time: 0.0161 memory: 17007 grad_norm: 6.6004 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1160 loss: 2.1160 2022/07/27 21:15:15 - mmengine - INFO - Epoch(train) [67][2340/3757] lr: 7.0337e-03 eta: 1 day, 22:57:07 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 6.5744 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3158 loss: 2.3158 2022/07/27 21:15:22 - mmengine - INFO - Epoch(train) [67][2360/3757] lr: 7.0337e-03 eta: 1 day, 22:56:59 time: 0.3930 data_time: 0.0151 memory: 17007 grad_norm: 6.2793 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8134 loss: 1.8134 2022/07/27 21:15:31 - mmengine - INFO - Epoch(train) [67][2380/3757] lr: 7.0337e-03 eta: 1 day, 22:56:51 time: 0.4142 data_time: 0.0173 memory: 17007 grad_norm: 6.3754 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1640 loss: 2.1640 2022/07/27 21:15:39 - mmengine - INFO - Epoch(train) [67][2400/3757] lr: 7.0337e-03 eta: 1 day, 22:56:43 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 6.2310 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0099 loss: 2.0099 2022/07/27 21:15:47 - mmengine - INFO - Epoch(train) [67][2420/3757] lr: 7.0337e-03 eta: 1 day, 22:56:36 time: 0.4196 data_time: 0.0168 memory: 17007 grad_norm: 6.4034 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2022 loss: 2.2022 2022/07/27 21:15:55 - mmengine - INFO - Epoch(train) [67][2440/3757] lr: 7.0337e-03 eta: 1 day, 22:56:28 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.5419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4899 loss: 2.4899 2022/07/27 21:16:03 - mmengine - INFO - Epoch(train) [67][2460/3757] lr: 7.0337e-03 eta: 1 day, 22:56:20 time: 0.3921 data_time: 0.0132 memory: 17007 grad_norm: 6.5953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1092 loss: 2.1092 2022/07/27 21:16:11 - mmengine - INFO - Epoch(train) [67][2480/3757] lr: 7.0337e-03 eta: 1 day, 22:56:13 time: 0.4316 data_time: 0.0166 memory: 17007 grad_norm: 6.7047 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2725 loss: 2.2725 2022/07/27 21:16:19 - mmengine - INFO - Epoch(train) [67][2500/3757] lr: 7.0337e-03 eta: 1 day, 22:56:05 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 6.4267 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0272 loss: 2.0272 2022/07/27 21:16:27 - mmengine - INFO - Epoch(train) [67][2520/3757] lr: 7.0337e-03 eta: 1 day, 22:55:58 time: 0.4050 data_time: 0.0169 memory: 17007 grad_norm: 6.4402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4543 loss: 2.4543 2022/07/27 21:16:35 - mmengine - INFO - Epoch(train) [67][2540/3757] lr: 7.0337e-03 eta: 1 day, 22:55:49 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 6.6637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2414 loss: 2.2414 2022/07/27 21:16:43 - mmengine - INFO - Epoch(train) [67][2560/3757] lr: 7.0337e-03 eta: 1 day, 22:55:41 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.5764 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0018 loss: 2.0018 2022/07/27 21:16:51 - mmengine - INFO - Epoch(train) [67][2580/3757] lr: 7.0337e-03 eta: 1 day, 22:55:33 time: 0.3971 data_time: 0.0152 memory: 17007 grad_norm: 6.2814 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3566 loss: 2.3566 2022/07/27 21:16:59 - mmengine - INFO - Epoch(train) [67][2600/3757] lr: 7.0337e-03 eta: 1 day, 22:55:25 time: 0.3944 data_time: 0.0168 memory: 17007 grad_norm: 6.6037 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1184 loss: 2.1184 2022/07/27 21:17:07 - mmengine - INFO - Epoch(train) [67][2620/3757] lr: 7.0337e-03 eta: 1 day, 22:55:18 time: 0.4002 data_time: 0.0148 memory: 17007 grad_norm: 6.3889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9873 loss: 1.9873 2022/07/27 21:17:15 - mmengine - INFO - Epoch(train) [67][2640/3757] lr: 7.0337e-03 eta: 1 day, 22:55:10 time: 0.3928 data_time: 0.0153 memory: 17007 grad_norm: 6.2943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2216 loss: 2.2216 2022/07/27 21:17:23 - mmengine - INFO - Epoch(train) [67][2660/3757] lr: 7.0337e-03 eta: 1 day, 22:55:02 time: 0.3959 data_time: 0.0170 memory: 17007 grad_norm: 6.8433 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2562 loss: 2.2562 2022/07/27 21:17:31 - mmengine - INFO - Epoch(train) [67][2680/3757] lr: 7.0337e-03 eta: 1 day, 22:54:54 time: 0.3967 data_time: 0.0161 memory: 17007 grad_norm: 6.6858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1092 loss: 2.1092 2022/07/27 21:17:39 - mmengine - INFO - Epoch(train) [67][2700/3757] lr: 7.0337e-03 eta: 1 day, 22:54:46 time: 0.4060 data_time: 0.0179 memory: 17007 grad_norm: 6.7311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1080 loss: 2.1080 2022/07/27 21:17:47 - mmengine - INFO - Epoch(train) [67][2720/3757] lr: 7.0337e-03 eta: 1 day, 22:54:38 time: 0.4019 data_time: 0.0152 memory: 17007 grad_norm: 6.7463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4189 loss: 2.4189 2022/07/27 21:17:55 - mmengine - INFO - Epoch(train) [67][2740/3757] lr: 7.0337e-03 eta: 1 day, 22:54:30 time: 0.3927 data_time: 0.0143 memory: 17007 grad_norm: 6.4256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1395 loss: 2.1395 2022/07/27 21:18:03 - mmengine - INFO - Epoch(train) [67][2760/3757] lr: 7.0337e-03 eta: 1 day, 22:54:22 time: 0.3964 data_time: 0.0170 memory: 17007 grad_norm: 6.5405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6521 loss: 2.6521 2022/07/27 21:18:11 - mmengine - INFO - Epoch(train) [67][2780/3757] lr: 7.0337e-03 eta: 1 day, 22:54:14 time: 0.3982 data_time: 0.0149 memory: 17007 grad_norm: 6.6247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4132 loss: 2.4132 2022/07/27 21:18:19 - mmengine - INFO - Epoch(train) [67][2800/3757] lr: 7.0337e-03 eta: 1 day, 22:54:07 time: 0.4021 data_time: 0.0168 memory: 17007 grad_norm: 6.5521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3275 loss: 2.3275 2022/07/27 21:18:27 - mmengine - INFO - Epoch(train) [67][2820/3757] lr: 7.0337e-03 eta: 1 day, 22:53:59 time: 0.4187 data_time: 0.0144 memory: 17007 grad_norm: 6.3703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8525 loss: 1.8525 2022/07/27 21:18:35 - mmengine - INFO - Epoch(train) [67][2840/3757] lr: 7.0337e-03 eta: 1 day, 22:53:51 time: 0.3937 data_time: 0.0156 memory: 17007 grad_norm: 6.4755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3479 loss: 2.3479 2022/07/27 21:18:43 - mmengine - INFO - Epoch(train) [67][2860/3757] lr: 7.0337e-03 eta: 1 day, 22:53:44 time: 0.4030 data_time: 0.0158 memory: 17007 grad_norm: 6.6292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3133 loss: 2.3133 2022/07/27 21:18:51 - mmengine - INFO - Epoch(train) [67][2880/3757] lr: 7.0337e-03 eta: 1 day, 22:53:36 time: 0.3958 data_time: 0.0161 memory: 17007 grad_norm: 6.6267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1961 loss: 2.1961 2022/07/27 21:18:59 - mmengine - INFO - Epoch(train) [67][2900/3757] lr: 7.0337e-03 eta: 1 day, 22:53:28 time: 0.3946 data_time: 0.0142 memory: 17007 grad_norm: 6.5907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0803 loss: 2.0803 2022/07/27 21:19:07 - mmengine - INFO - Epoch(train) [67][2920/3757] lr: 7.0337e-03 eta: 1 day, 22:53:20 time: 0.4085 data_time: 0.0186 memory: 17007 grad_norm: 6.5693 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1647 loss: 2.1647 2022/07/27 21:19:15 - mmengine - INFO - Epoch(train) [67][2940/3757] lr: 7.0337e-03 eta: 1 day, 22:53:12 time: 0.3902 data_time: 0.0137 memory: 17007 grad_norm: 6.7344 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5752 loss: 2.5752 2022/07/27 21:19:23 - mmengine - INFO - Epoch(train) [67][2960/3757] lr: 7.0337e-03 eta: 1 day, 22:53:04 time: 0.3967 data_time: 0.0146 memory: 17007 grad_norm: 6.5180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0578 loss: 2.0578 2022/07/27 21:19:31 - mmengine - INFO - Epoch(train) [67][2980/3757] lr: 7.0337e-03 eta: 1 day, 22:52:56 time: 0.3942 data_time: 0.0163 memory: 17007 grad_norm: 6.5248 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0695 loss: 2.0695 2022/07/27 21:19:39 - mmengine - INFO - Epoch(train) [67][3000/3757] lr: 7.0337e-03 eta: 1 day, 22:52:48 time: 0.3949 data_time: 0.0144 memory: 17007 grad_norm: 6.4618 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2332 loss: 2.2332 2022/07/27 21:19:47 - mmengine - INFO - Epoch(train) [67][3020/3757] lr: 7.0337e-03 eta: 1 day, 22:52:40 time: 0.4003 data_time: 0.0156 memory: 17007 grad_norm: 6.5655 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2368 loss: 2.2368 2022/07/27 21:19:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:19:54 - mmengine - INFO - Epoch(train) [67][3040/3757] lr: 7.0337e-03 eta: 1 day, 22:52:32 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 6.6819 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0393 loss: 2.0393 2022/07/27 21:20:02 - mmengine - INFO - Epoch(train) [67][3060/3757] lr: 7.0337e-03 eta: 1 day, 22:52:24 time: 0.3965 data_time: 0.0133 memory: 17007 grad_norm: 6.7543 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3701 loss: 2.3701 2022/07/27 21:20:10 - mmengine - INFO - Epoch(train) [67][3080/3757] lr: 7.0337e-03 eta: 1 day, 22:52:16 time: 0.3997 data_time: 0.0162 memory: 17007 grad_norm: 6.4956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2566 loss: 2.2566 2022/07/27 21:20:18 - mmengine - INFO - Epoch(train) [67][3100/3757] lr: 7.0337e-03 eta: 1 day, 22:52:08 time: 0.3943 data_time: 0.0148 memory: 17007 grad_norm: 6.4828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3415 loss: 2.3415 2022/07/27 21:20:26 - mmengine - INFO - Epoch(train) [67][3120/3757] lr: 7.0337e-03 eta: 1 day, 22:52:00 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 6.4792 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1644 loss: 2.1644 2022/07/27 21:20:34 - mmengine - INFO - Epoch(train) [67][3140/3757] lr: 7.0337e-03 eta: 1 day, 22:51:52 time: 0.3983 data_time: 0.0155 memory: 17007 grad_norm: 6.6410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6543 loss: 2.6543 2022/07/27 21:20:42 - mmengine - INFO - Epoch(train) [67][3160/3757] lr: 7.0337e-03 eta: 1 day, 22:51:44 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 6.5518 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0852 loss: 2.0852 2022/07/27 21:20:50 - mmengine - INFO - Epoch(train) [67][3180/3757] lr: 7.0337e-03 eta: 1 day, 22:51:36 time: 0.3950 data_time: 0.0152 memory: 17007 grad_norm: 6.1511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1798 loss: 2.1798 2022/07/27 21:20:58 - mmengine - INFO - Epoch(train) [67][3200/3757] lr: 7.0337e-03 eta: 1 day, 22:51:28 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 6.4813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9652 loss: 1.9652 2022/07/27 21:21:06 - mmengine - INFO - Epoch(train) [67][3220/3757] lr: 7.0337e-03 eta: 1 day, 22:51:20 time: 0.3913 data_time: 0.0135 memory: 17007 grad_norm: 6.4092 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2941 loss: 2.2941 2022/07/27 21:21:14 - mmengine - INFO - Epoch(train) [67][3240/3757] lr: 7.0337e-03 eta: 1 day, 22:51:14 time: 0.4348 data_time: 0.0164 memory: 17007 grad_norm: 6.5634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2359 loss: 2.2359 2022/07/27 21:21:22 - mmengine - INFO - Epoch(train) [67][3260/3757] lr: 7.0337e-03 eta: 1 day, 22:51:05 time: 0.3932 data_time: 0.0137 memory: 17007 grad_norm: 6.4657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3007 loss: 2.3007 2022/07/27 21:21:30 - mmengine - INFO - Epoch(train) [67][3280/3757] lr: 7.0337e-03 eta: 1 day, 22:50:58 time: 0.4048 data_time: 0.0167 memory: 17007 grad_norm: 6.5546 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8298 loss: 1.8298 2022/07/27 21:21:38 - mmengine - INFO - Epoch(train) [67][3300/3757] lr: 7.0337e-03 eta: 1 day, 22:50:50 time: 0.3931 data_time: 0.0135 memory: 17007 grad_norm: 6.2241 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0031 loss: 2.0031 2022/07/27 21:21:46 - mmengine - INFO - Epoch(train) [67][3320/3757] lr: 7.0337e-03 eta: 1 day, 22:50:42 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 6.4249 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1349 loss: 2.1349 2022/07/27 21:21:54 - mmengine - INFO - Epoch(train) [67][3340/3757] lr: 7.0337e-03 eta: 1 day, 22:50:34 time: 0.4101 data_time: 0.0156 memory: 17007 grad_norm: 6.4725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9451 loss: 1.9451 2022/07/27 21:22:02 - mmengine - INFO - Epoch(train) [67][3360/3757] lr: 7.0337e-03 eta: 1 day, 22:50:26 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 6.8744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0307 loss: 2.0307 2022/07/27 21:22:10 - mmengine - INFO - Epoch(train) [67][3380/3757] lr: 7.0337e-03 eta: 1 day, 22:50:19 time: 0.4070 data_time: 0.0161 memory: 17007 grad_norm: 6.5592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1384 loss: 2.1384 2022/07/27 21:22:18 - mmengine - INFO - Epoch(train) [67][3400/3757] lr: 7.0337e-03 eta: 1 day, 22:50:11 time: 0.3958 data_time: 0.0151 memory: 17007 grad_norm: 6.7336 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3852 loss: 2.3852 2022/07/27 21:22:26 - mmengine - INFO - Epoch(train) [67][3420/3757] lr: 7.0337e-03 eta: 1 day, 22:50:03 time: 0.3925 data_time: 0.0142 memory: 17007 grad_norm: 6.2897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3653 loss: 2.3653 2022/07/27 21:22:34 - mmengine - INFO - Epoch(train) [67][3440/3757] lr: 7.0337e-03 eta: 1 day, 22:49:55 time: 0.4065 data_time: 0.0166 memory: 17007 grad_norm: 6.7281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0033 loss: 2.0033 2022/07/27 21:22:42 - mmengine - INFO - Epoch(train) [67][3460/3757] lr: 7.0337e-03 eta: 1 day, 22:49:47 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 6.6287 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3739 loss: 2.3739 2022/07/27 21:22:50 - mmengine - INFO - Epoch(train) [67][3480/3757] lr: 7.0337e-03 eta: 1 day, 22:49:39 time: 0.4061 data_time: 0.0146 memory: 17007 grad_norm: 6.6320 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1700 loss: 2.1700 2022/07/27 21:22:58 - mmengine - INFO - Epoch(train) [67][3500/3757] lr: 7.0337e-03 eta: 1 day, 22:49:31 time: 0.3929 data_time: 0.0142 memory: 17007 grad_norm: 6.5169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4469 loss: 2.4469 2022/07/27 21:23:06 - mmengine - INFO - Epoch(train) [67][3520/3757] lr: 7.0337e-03 eta: 1 day, 22:49:23 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 6.6787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2938 loss: 2.2938 2022/07/27 21:23:14 - mmengine - INFO - Epoch(train) [67][3540/3757] lr: 7.0337e-03 eta: 1 day, 22:49:15 time: 0.4024 data_time: 0.0164 memory: 17007 grad_norm: 6.5267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9693 loss: 1.9693 2022/07/27 21:23:22 - mmengine - INFO - Epoch(train) [67][3560/3757] lr: 7.0337e-03 eta: 1 day, 22:49:07 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 6.5192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2892 loss: 2.2892 2022/07/27 21:23:31 - mmengine - INFO - Epoch(train) [67][3580/3757] lr: 7.0337e-03 eta: 1 day, 22:49:01 time: 0.4337 data_time: 0.0181 memory: 17007 grad_norm: 6.5718 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3350 loss: 2.3350 2022/07/27 21:23:38 - mmengine - INFO - Epoch(train) [67][3600/3757] lr: 7.0337e-03 eta: 1 day, 22:48:53 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 6.4392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1225 loss: 2.1225 2022/07/27 21:23:46 - mmengine - INFO - Epoch(train) [67][3620/3757] lr: 7.0337e-03 eta: 1 day, 22:48:45 time: 0.3929 data_time: 0.0143 memory: 17007 grad_norm: 6.4047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1098 loss: 2.1098 2022/07/27 21:23:55 - mmengine - INFO - Epoch(train) [67][3640/3757] lr: 7.0337e-03 eta: 1 day, 22:48:38 time: 0.4343 data_time: 0.0166 memory: 17007 grad_norm: 6.6896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4640 loss: 2.4640 2022/07/27 21:24:03 - mmengine - INFO - Epoch(train) [67][3660/3757] lr: 7.0337e-03 eta: 1 day, 22:48:30 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 6.4794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2403 loss: 2.2403 2022/07/27 21:24:11 - mmengine - INFO - Epoch(train) [67][3680/3757] lr: 7.0337e-03 eta: 1 day, 22:48:22 time: 0.4077 data_time: 0.0169 memory: 17007 grad_norm: 6.7214 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3585 loss: 2.3585 2022/07/27 21:24:19 - mmengine - INFO - Epoch(train) [67][3700/3757] lr: 7.0337e-03 eta: 1 day, 22:48:14 time: 0.3940 data_time: 0.0146 memory: 17007 grad_norm: 6.4120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1362 loss: 2.1362 2022/07/27 21:24:27 - mmengine - INFO - Epoch(train) [67][3720/3757] lr: 7.0337e-03 eta: 1 day, 22:48:07 time: 0.4125 data_time: 0.0148 memory: 17007 grad_norm: 6.3778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1351 loss: 2.1351 2022/07/27 21:24:35 - mmengine - INFO - Epoch(train) [67][3740/3757] lr: 7.0337e-03 eta: 1 day, 22:47:59 time: 0.3936 data_time: 0.0132 memory: 17007 grad_norm: 6.5300 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1960 loss: 2.1960 2022/07/27 21:24:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:24:42 - mmengine - INFO - Epoch(train) [67][3757/3757] lr: 7.0337e-03 eta: 1 day, 22:47:59 time: 0.3886 data_time: 0.0148 memory: 17007 grad_norm: 6.5338 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.4947 loss: 2.4947 2022/07/27 21:24:42 - mmengine - INFO - Saving checkpoint at 67 epochs 2022/07/27 21:24:53 - mmengine - INFO - Epoch(train) [68][20/3757] lr: 6.9537e-03 eta: 1 day, 22:47:35 time: 0.4545 data_time: 0.0765 memory: 17007 grad_norm: 6.3475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9359 loss: 1.9359 2022/07/27 21:25:01 - mmengine - INFO - Epoch(train) [68][40/3757] lr: 6.9537e-03 eta: 1 day, 22:47:27 time: 0.4123 data_time: 0.0187 memory: 17007 grad_norm: 6.3121 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0462 loss: 2.0462 2022/07/27 21:25:09 - mmengine - INFO - Epoch(train) [68][60/3757] lr: 6.9537e-03 eta: 1 day, 22:47:19 time: 0.3951 data_time: 0.0168 memory: 17007 grad_norm: 6.3390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0856 loss: 2.0856 2022/07/27 21:25:17 - mmengine - INFO - Epoch(train) [68][80/3757] lr: 6.9537e-03 eta: 1 day, 22:47:12 time: 0.4122 data_time: 0.0160 memory: 17007 grad_norm: 6.1261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1244 loss: 2.1244 2022/07/27 21:25:25 - mmengine - INFO - Epoch(train) [68][100/3757] lr: 6.9537e-03 eta: 1 day, 22:47:04 time: 0.3921 data_time: 0.0146 memory: 17007 grad_norm: 6.2829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1498 loss: 2.1498 2022/07/27 21:25:33 - mmengine - INFO - Epoch(train) [68][120/3757] lr: 6.9537e-03 eta: 1 day, 22:46:56 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 6.3994 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0774 loss: 2.0774 2022/07/27 21:25:42 - mmengine - INFO - Epoch(train) [68][140/3757] lr: 6.9537e-03 eta: 1 day, 22:46:49 time: 0.4304 data_time: 0.0166 memory: 17007 grad_norm: 6.5006 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2889 loss: 2.2889 2022/07/27 21:25:50 - mmengine - INFO - Epoch(train) [68][160/3757] lr: 6.9537e-03 eta: 1 day, 22:46:41 time: 0.3986 data_time: 0.0163 memory: 17007 grad_norm: 6.5023 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9330 loss: 1.9330 2022/07/27 21:25:58 - mmengine - INFO - Epoch(train) [68][180/3757] lr: 6.9537e-03 eta: 1 day, 22:46:33 time: 0.4068 data_time: 0.0151 memory: 17007 grad_norm: 6.5203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2159 loss: 2.2159 2022/07/27 21:26:06 - mmengine - INFO - Epoch(train) [68][200/3757] lr: 6.9537e-03 eta: 1 day, 22:46:25 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 6.2589 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2410 loss: 2.2410 2022/07/27 21:26:14 - mmengine - INFO - Epoch(train) [68][220/3757] lr: 6.9537e-03 eta: 1 day, 22:46:17 time: 0.3963 data_time: 0.0154 memory: 17007 grad_norm: 6.5002 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1207 loss: 2.1207 2022/07/27 21:26:22 - mmengine - INFO - Epoch(train) [68][240/3757] lr: 6.9537e-03 eta: 1 day, 22:46:09 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 6.2764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1357 loss: 2.1357 2022/07/27 21:26:30 - mmengine - INFO - Epoch(train) [68][260/3757] lr: 6.9537e-03 eta: 1 day, 22:46:01 time: 0.3954 data_time: 0.0167 memory: 17007 grad_norm: 6.4556 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2724 loss: 2.2724 2022/07/27 21:26:38 - mmengine - INFO - Epoch(train) [68][280/3757] lr: 6.9537e-03 eta: 1 day, 22:45:54 time: 0.4113 data_time: 0.0161 memory: 17007 grad_norm: 6.3842 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2578 loss: 2.2578 2022/07/27 21:26:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:26:46 - mmengine - INFO - Epoch(train) [68][300/3757] lr: 6.9537e-03 eta: 1 day, 22:45:46 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 6.3480 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5204 loss: 2.5204 2022/07/27 21:26:54 - mmengine - INFO - Epoch(train) [68][320/3757] lr: 6.9537e-03 eta: 1 day, 22:45:38 time: 0.3960 data_time: 0.0165 memory: 17007 grad_norm: 6.6544 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2470 loss: 2.2470 2022/07/27 21:27:01 - mmengine - INFO - Epoch(train) [68][340/3757] lr: 6.9537e-03 eta: 1 day, 22:45:30 time: 0.3937 data_time: 0.0139 memory: 17007 grad_norm: 6.7049 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2062 loss: 2.2062 2022/07/27 21:27:09 - mmengine - INFO - Epoch(train) [68][360/3757] lr: 6.9537e-03 eta: 1 day, 22:45:22 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 6.3736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1251 loss: 2.1251 2022/07/27 21:27:17 - mmengine - INFO - Epoch(train) [68][380/3757] lr: 6.9537e-03 eta: 1 day, 22:45:14 time: 0.4033 data_time: 0.0171 memory: 17007 grad_norm: 6.2601 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2578 loss: 2.2578 2022/07/27 21:27:25 - mmengine - INFO - Epoch(train) [68][400/3757] lr: 6.9537e-03 eta: 1 day, 22:45:06 time: 0.3925 data_time: 0.0146 memory: 17007 grad_norm: 6.5360 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2170 loss: 2.2170 2022/07/27 21:27:33 - mmengine - INFO - Epoch(train) [68][420/3757] lr: 6.9537e-03 eta: 1 day, 22:44:58 time: 0.3949 data_time: 0.0154 memory: 17007 grad_norm: 6.4635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0849 loss: 2.0849 2022/07/27 21:27:41 - mmengine - INFO - Epoch(train) [68][440/3757] lr: 6.9537e-03 eta: 1 day, 22:44:50 time: 0.4036 data_time: 0.0149 memory: 17007 grad_norm: 6.4627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2294 loss: 2.2294 2022/07/27 21:27:49 - mmengine - INFO - Epoch(train) [68][460/3757] lr: 6.9537e-03 eta: 1 day, 22:44:42 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 6.3642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1326 loss: 2.1326 2022/07/27 21:27:57 - mmengine - INFO - Epoch(train) [68][480/3757] lr: 6.9537e-03 eta: 1 day, 22:44:34 time: 0.3961 data_time: 0.0165 memory: 17007 grad_norm: 6.4188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1909 loss: 2.1909 2022/07/27 21:28:05 - mmengine - INFO - Epoch(train) [68][500/3757] lr: 6.9537e-03 eta: 1 day, 22:44:27 time: 0.4098 data_time: 0.0149 memory: 17007 grad_norm: 6.5776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9818 loss: 1.9818 2022/07/27 21:28:13 - mmengine - INFO - Epoch(train) [68][520/3757] lr: 6.9537e-03 eta: 1 day, 22:44:19 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 6.5757 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3245 loss: 2.3245 2022/07/27 21:28:21 - mmengine - INFO - Epoch(train) [68][540/3757] lr: 6.9537e-03 eta: 1 day, 22:44:11 time: 0.4102 data_time: 0.0158 memory: 17007 grad_norm: 6.5348 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1663 loss: 2.1663 2022/07/27 21:28:29 - mmengine - INFO - Epoch(train) [68][560/3757] lr: 6.9537e-03 eta: 1 day, 22:44:03 time: 0.3957 data_time: 0.0158 memory: 17007 grad_norm: 6.5069 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9895 loss: 1.9895 2022/07/27 21:28:37 - mmengine - INFO - Epoch(train) [68][580/3757] lr: 6.9537e-03 eta: 1 day, 22:43:55 time: 0.3953 data_time: 0.0145 memory: 17007 grad_norm: 6.3328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1155 loss: 2.1155 2022/07/27 21:28:45 - mmengine - INFO - Epoch(train) [68][600/3757] lr: 6.9537e-03 eta: 1 day, 22:43:47 time: 0.3947 data_time: 0.0156 memory: 17007 grad_norm: 6.6700 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1612 loss: 2.1612 2022/07/27 21:28:53 - mmengine - INFO - Epoch(train) [68][620/3757] lr: 6.9537e-03 eta: 1 day, 22:43:39 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 6.3970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1575 loss: 2.1575 2022/07/27 21:29:01 - mmengine - INFO - Epoch(train) [68][640/3757] lr: 6.9537e-03 eta: 1 day, 22:43:32 time: 0.4080 data_time: 0.0175 memory: 17007 grad_norm: 6.7707 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3479 loss: 2.3479 2022/07/27 21:29:09 - mmengine - INFO - Epoch(train) [68][660/3757] lr: 6.9537e-03 eta: 1 day, 22:43:24 time: 0.3937 data_time: 0.0144 memory: 17007 grad_norm: 6.5221 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1204 loss: 2.1204 2022/07/27 21:29:17 - mmengine - INFO - Epoch(train) [68][680/3757] lr: 6.9537e-03 eta: 1 day, 22:43:16 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 6.4630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9349 loss: 1.9349 2022/07/27 21:29:25 - mmengine - INFO - Epoch(train) [68][700/3757] lr: 6.9537e-03 eta: 1 day, 22:43:08 time: 0.3955 data_time: 0.0170 memory: 17007 grad_norm: 6.5630 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3443 loss: 2.3443 2022/07/27 21:29:33 - mmengine - INFO - Epoch(train) [68][720/3757] lr: 6.9537e-03 eta: 1 day, 22:43:00 time: 0.3983 data_time: 0.0162 memory: 17007 grad_norm: 6.4838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1685 loss: 2.1685 2022/07/27 21:29:41 - mmengine - INFO - Epoch(train) [68][740/3757] lr: 6.9537e-03 eta: 1 day, 22:42:52 time: 0.4108 data_time: 0.0157 memory: 17007 grad_norm: 6.1837 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7600 loss: 1.7600 2022/07/27 21:29:49 - mmengine - INFO - Epoch(train) [68][760/3757] lr: 6.9537e-03 eta: 1 day, 22:42:44 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 6.7315 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3665 loss: 2.3665 2022/07/27 21:29:57 - mmengine - INFO - Epoch(train) [68][780/3757] lr: 6.9537e-03 eta: 1 day, 22:42:36 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 6.3026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2845 loss: 2.2845 2022/07/27 21:30:05 - mmengine - INFO - Epoch(train) [68][800/3757] lr: 6.9537e-03 eta: 1 day, 22:42:29 time: 0.3981 data_time: 0.0162 memory: 17007 grad_norm: 6.5016 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0710 loss: 2.0710 2022/07/27 21:30:13 - mmengine - INFO - Epoch(train) [68][820/3757] lr: 6.9537e-03 eta: 1 day, 22:42:21 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 6.5961 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1116 loss: 2.1116 2022/07/27 21:30:21 - mmengine - INFO - Epoch(train) [68][840/3757] lr: 6.9537e-03 eta: 1 day, 22:42:13 time: 0.4012 data_time: 0.0163 memory: 17007 grad_norm: 6.5226 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4840 loss: 2.4840 2022/07/27 21:30:29 - mmengine - INFO - Epoch(train) [68][860/3757] lr: 6.9537e-03 eta: 1 day, 22:42:05 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 6.5955 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1324 loss: 2.1324 2022/07/27 21:30:37 - mmengine - INFO - Epoch(train) [68][880/3757] lr: 6.9537e-03 eta: 1 day, 22:41:57 time: 0.3944 data_time: 0.0166 memory: 17007 grad_norm: 6.6029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0858 loss: 2.0858 2022/07/27 21:30:45 - mmengine - INFO - Epoch(train) [68][900/3757] lr: 6.9537e-03 eta: 1 day, 22:41:49 time: 0.4134 data_time: 0.0148 memory: 17007 grad_norm: 6.4223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1036 loss: 2.1036 2022/07/27 21:30:53 - mmengine - INFO - Epoch(train) [68][920/3757] lr: 6.9537e-03 eta: 1 day, 22:41:42 time: 0.4001 data_time: 0.0156 memory: 17007 grad_norm: 6.6434 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1404 loss: 2.1404 2022/07/27 21:31:01 - mmengine - INFO - Epoch(train) [68][940/3757] lr: 6.9537e-03 eta: 1 day, 22:41:34 time: 0.4226 data_time: 0.0182 memory: 17007 grad_norm: 6.5712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2548 loss: 2.2548 2022/07/27 21:31:09 - mmengine - INFO - Epoch(train) [68][960/3757] lr: 6.9537e-03 eta: 1 day, 22:41:26 time: 0.3951 data_time: 0.0167 memory: 17007 grad_norm: 6.3583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8497 loss: 1.8497 2022/07/27 21:31:17 - mmengine - INFO - Epoch(train) [68][980/3757] lr: 6.9537e-03 eta: 1 day, 22:41:18 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 6.5980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0406 loss: 2.0406 2022/07/27 21:31:25 - mmengine - INFO - Epoch(train) [68][1000/3757] lr: 6.9537e-03 eta: 1 day, 22:41:11 time: 0.3993 data_time: 0.0164 memory: 17007 grad_norm: 6.5887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1643 loss: 2.1643 2022/07/27 21:31:33 - mmengine - INFO - Epoch(train) [68][1020/3757] lr: 6.9537e-03 eta: 1 day, 22:41:03 time: 0.3990 data_time: 0.0147 memory: 17007 grad_norm: 6.4515 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0560 loss: 2.0560 2022/07/27 21:31:41 - mmengine - INFO - Epoch(train) [68][1040/3757] lr: 6.9537e-03 eta: 1 day, 22:40:55 time: 0.4020 data_time: 0.0176 memory: 17007 grad_norm: 6.2041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0706 loss: 2.0706 2022/07/27 21:31:49 - mmengine - INFO - Epoch(train) [68][1060/3757] lr: 6.9537e-03 eta: 1 day, 22:40:47 time: 0.4028 data_time: 0.0152 memory: 17007 grad_norm: 6.3107 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2914 loss: 2.2914 2022/07/27 21:31:57 - mmengine - INFO - Epoch(train) [68][1080/3757] lr: 6.9537e-03 eta: 1 day, 22:40:39 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 6.4758 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1567 loss: 2.1567 2022/07/27 21:32:05 - mmengine - INFO - Epoch(train) [68][1100/3757] lr: 6.9537e-03 eta: 1 day, 22:40:31 time: 0.4006 data_time: 0.0154 memory: 17007 grad_norm: 6.4271 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1772 loss: 2.1772 2022/07/27 21:32:13 - mmengine - INFO - Epoch(train) [68][1120/3757] lr: 6.9537e-03 eta: 1 day, 22:40:23 time: 0.3953 data_time: 0.0162 memory: 17007 grad_norm: 6.8022 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1504 loss: 2.1504 2022/07/27 21:32:21 - mmengine - INFO - Epoch(train) [68][1140/3757] lr: 6.9537e-03 eta: 1 day, 22:40:16 time: 0.4005 data_time: 0.0158 memory: 17007 grad_norm: 6.4296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0732 loss: 2.0732 2022/07/27 21:32:29 - mmengine - INFO - Epoch(train) [68][1160/3757] lr: 6.9537e-03 eta: 1 day, 22:40:08 time: 0.4123 data_time: 0.0154 memory: 17007 grad_norm: 6.6333 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1612 loss: 2.1612 2022/07/27 21:32:37 - mmengine - INFO - Epoch(train) [68][1180/3757] lr: 6.9537e-03 eta: 1 day, 22:40:00 time: 0.3923 data_time: 0.0144 memory: 17007 grad_norm: 6.6319 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1428 loss: 2.1428 2022/07/27 21:32:45 - mmengine - INFO - Epoch(train) [68][1200/3757] lr: 6.9537e-03 eta: 1 day, 22:39:52 time: 0.4056 data_time: 0.0169 memory: 17007 grad_norm: 6.3038 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1158 loss: 2.1158 2022/07/27 21:32:53 - mmengine - INFO - Epoch(train) [68][1220/3757] lr: 6.9537e-03 eta: 1 day, 22:39:44 time: 0.3922 data_time: 0.0140 memory: 17007 grad_norm: 6.5707 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4076 loss: 2.4076 2022/07/27 21:33:01 - mmengine - INFO - Epoch(train) [68][1240/3757] lr: 6.9537e-03 eta: 1 day, 22:39:37 time: 0.4094 data_time: 0.0158 memory: 17007 grad_norm: 6.7074 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2570 loss: 2.2570 2022/07/27 21:33:09 - mmengine - INFO - Epoch(train) [68][1260/3757] lr: 6.9537e-03 eta: 1 day, 22:39:29 time: 0.3922 data_time: 0.0143 memory: 17007 grad_norm: 6.6000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0515 loss: 2.0515 2022/07/27 21:33:17 - mmengine - INFO - Epoch(train) [68][1280/3757] lr: 6.9537e-03 eta: 1 day, 22:39:21 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 6.5780 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1487 loss: 2.1487 2022/07/27 21:33:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:33:25 - mmengine - INFO - Epoch(train) [68][1300/3757] lr: 6.9537e-03 eta: 1 day, 22:39:13 time: 0.4008 data_time: 0.0171 memory: 17007 grad_norm: 6.4175 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2155 loss: 2.2155 2022/07/27 21:33:33 - mmengine - INFO - Epoch(train) [68][1320/3757] lr: 6.9537e-03 eta: 1 day, 22:39:05 time: 0.3923 data_time: 0.0149 memory: 17007 grad_norm: 6.3580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4561 loss: 2.4561 2022/07/27 21:33:42 - mmengine - INFO - Epoch(train) [68][1340/3757] lr: 6.9537e-03 eta: 1 day, 22:38:58 time: 0.4354 data_time: 0.0159 memory: 17007 grad_norm: 6.5146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9774 loss: 1.9774 2022/07/27 21:33:50 - mmengine - INFO - Epoch(train) [68][1360/3757] lr: 6.9537e-03 eta: 1 day, 22:38:50 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 6.3282 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3934 loss: 2.3934 2022/07/27 21:33:57 - mmengine - INFO - Epoch(train) [68][1380/3757] lr: 6.9537e-03 eta: 1 day, 22:38:42 time: 0.3929 data_time: 0.0146 memory: 17007 grad_norm: 6.5787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2218 loss: 2.2218 2022/07/27 21:34:06 - mmengine - INFO - Epoch(train) [68][1400/3757] lr: 6.9537e-03 eta: 1 day, 22:38:34 time: 0.4023 data_time: 0.0220 memory: 17007 grad_norm: 6.6487 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1455 loss: 2.1455 2022/07/27 21:34:13 - mmengine - INFO - Epoch(train) [68][1420/3757] lr: 6.9537e-03 eta: 1 day, 22:38:26 time: 0.3930 data_time: 0.0143 memory: 17007 grad_norm: 6.4703 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9234 loss: 1.9234 2022/07/27 21:34:21 - mmengine - INFO - Epoch(train) [68][1440/3757] lr: 6.9537e-03 eta: 1 day, 22:38:18 time: 0.3994 data_time: 0.0174 memory: 17007 grad_norm: 6.4546 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9744 loss: 1.9744 2022/07/27 21:34:29 - mmengine - INFO - Epoch(train) [68][1460/3757] lr: 6.9537e-03 eta: 1 day, 22:38:10 time: 0.3929 data_time: 0.0146 memory: 17007 grad_norm: 6.5427 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1911 loss: 2.1911 2022/07/27 21:34:37 - mmengine - INFO - Epoch(train) [68][1480/3757] lr: 6.9537e-03 eta: 1 day, 22:38:02 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 6.5609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1082 loss: 2.1082 2022/07/27 21:34:45 - mmengine - INFO - Epoch(train) [68][1500/3757] lr: 6.9537e-03 eta: 1 day, 22:37:54 time: 0.3983 data_time: 0.0172 memory: 17007 grad_norm: 6.3984 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0285 loss: 2.0285 2022/07/27 21:34:53 - mmengine - INFO - Epoch(train) [68][1520/3757] lr: 6.9537e-03 eta: 1 day, 22:37:46 time: 0.3937 data_time: 0.0156 memory: 17007 grad_norm: 6.7540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2189 loss: 2.2189 2022/07/27 21:35:01 - mmengine - INFO - Epoch(train) [68][1540/3757] lr: 6.9537e-03 eta: 1 day, 22:37:39 time: 0.4060 data_time: 0.0167 memory: 17007 grad_norm: 6.8319 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2089 loss: 2.2089 2022/07/27 21:35:09 - mmengine - INFO - Epoch(train) [68][1560/3757] lr: 6.9537e-03 eta: 1 day, 22:37:31 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 6.4668 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4172 loss: 2.4172 2022/07/27 21:35:17 - mmengine - INFO - Epoch(train) [68][1580/3757] lr: 6.9537e-03 eta: 1 day, 22:37:23 time: 0.3920 data_time: 0.0148 memory: 17007 grad_norm: 6.2981 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0097 loss: 2.0097 2022/07/27 21:35:25 - mmengine - INFO - Epoch(train) [68][1600/3757] lr: 6.9537e-03 eta: 1 day, 22:37:15 time: 0.3989 data_time: 0.0166 memory: 17007 grad_norm: 6.2371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9822 loss: 1.9822 2022/07/27 21:35:33 - mmengine - INFO - Epoch(train) [68][1620/3757] lr: 6.9537e-03 eta: 1 day, 22:37:07 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 6.4831 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3417 loss: 2.3417 2022/07/27 21:35:41 - mmengine - INFO - Epoch(train) [68][1640/3757] lr: 6.9537e-03 eta: 1 day, 22:36:59 time: 0.4048 data_time: 0.0170 memory: 17007 grad_norm: 6.6057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2682 loss: 2.2682 2022/07/27 21:35:49 - mmengine - INFO - Epoch(train) [68][1660/3757] lr: 6.9537e-03 eta: 1 day, 22:36:51 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 6.5734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1887 loss: 2.1887 2022/07/27 21:35:57 - mmengine - INFO - Epoch(train) [68][1680/3757] lr: 6.9537e-03 eta: 1 day, 22:36:43 time: 0.3987 data_time: 0.0172 memory: 17007 grad_norm: 6.2609 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1487 loss: 2.1487 2022/07/27 21:36:04 - mmengine - INFO - Epoch(train) [68][1700/3757] lr: 6.9537e-03 eta: 1 day, 22:36:35 time: 0.3925 data_time: 0.0146 memory: 17007 grad_norm: 6.0766 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3052 loss: 2.3052 2022/07/27 21:36:12 - mmengine - INFO - Epoch(train) [68][1720/3757] lr: 6.9537e-03 eta: 1 day, 22:36:27 time: 0.3976 data_time: 0.0176 memory: 17007 grad_norm: 6.8100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2366 loss: 2.2366 2022/07/27 21:36:20 - mmengine - INFO - Epoch(train) [68][1740/3757] lr: 6.9537e-03 eta: 1 day, 22:36:19 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 7.7329 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0625 loss: 2.0625 2022/07/27 21:36:28 - mmengine - INFO - Epoch(train) [68][1760/3757] lr: 6.9537e-03 eta: 1 day, 22:36:11 time: 0.4026 data_time: 0.0170 memory: 17007 grad_norm: 6.7213 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3556 loss: 2.3556 2022/07/27 21:36:36 - mmengine - INFO - Epoch(train) [68][1780/3757] lr: 6.9537e-03 eta: 1 day, 22:36:03 time: 0.3930 data_time: 0.0150 memory: 17007 grad_norm: 6.4705 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5346 loss: 2.5346 2022/07/27 21:36:44 - mmengine - INFO - Epoch(train) [68][1800/3757] lr: 6.9537e-03 eta: 1 day, 22:35:55 time: 0.3931 data_time: 0.0148 memory: 17007 grad_norm: 6.5794 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3829 loss: 2.3829 2022/07/27 21:36:52 - mmengine - INFO - Epoch(train) [68][1820/3757] lr: 6.9537e-03 eta: 1 day, 22:35:47 time: 0.4020 data_time: 0.0153 memory: 17007 grad_norm: 6.4163 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2579 loss: 2.2579 2022/07/27 21:37:00 - mmengine - INFO - Epoch(train) [68][1840/3757] lr: 6.9537e-03 eta: 1 day, 22:35:39 time: 0.3929 data_time: 0.0154 memory: 17007 grad_norm: 6.6960 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3725 loss: 2.3725 2022/07/27 21:37:08 - mmengine - INFO - Epoch(train) [68][1860/3757] lr: 6.9537e-03 eta: 1 day, 22:35:31 time: 0.3946 data_time: 0.0137 memory: 17007 grad_norm: 6.3125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1081 loss: 2.1081 2022/07/27 21:37:16 - mmengine - INFO - Epoch(train) [68][1880/3757] lr: 6.9537e-03 eta: 1 day, 22:35:23 time: 0.3990 data_time: 0.0154 memory: 17007 grad_norm: 6.6173 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3164 loss: 2.3164 2022/07/27 21:37:24 - mmengine - INFO - Epoch(train) [68][1900/3757] lr: 6.9537e-03 eta: 1 day, 22:35:15 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.4736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1904 loss: 2.1904 2022/07/27 21:37:32 - mmengine - INFO - Epoch(train) [68][1920/3757] lr: 6.9537e-03 eta: 1 day, 22:35:08 time: 0.4013 data_time: 0.0166 memory: 17007 grad_norm: 6.5125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4308 loss: 2.4308 2022/07/27 21:37:40 - mmengine - INFO - Epoch(train) [68][1940/3757] lr: 6.9537e-03 eta: 1 day, 22:35:00 time: 0.3949 data_time: 0.0145 memory: 17007 grad_norm: 6.8277 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0939 loss: 2.0939 2022/07/27 21:37:48 - mmengine - INFO - Epoch(train) [68][1960/3757] lr: 6.9537e-03 eta: 1 day, 22:34:52 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 6.6322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1499 loss: 2.1499 2022/07/27 21:37:56 - mmengine - INFO - Epoch(train) [68][1980/3757] lr: 6.9537e-03 eta: 1 day, 22:34:44 time: 0.4117 data_time: 0.0166 memory: 17007 grad_norm: 6.6956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0340 loss: 2.0340 2022/07/27 21:38:04 - mmengine - INFO - Epoch(train) [68][2000/3757] lr: 6.9537e-03 eta: 1 day, 22:34:36 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 6.4797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1467 loss: 2.1467 2022/07/27 21:38:12 - mmengine - INFO - Epoch(train) [68][2020/3757] lr: 6.9537e-03 eta: 1 day, 22:34:29 time: 0.4176 data_time: 0.0156 memory: 17007 grad_norm: 6.7077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0954 loss: 2.0954 2022/07/27 21:38:20 - mmengine - INFO - Epoch(train) [68][2040/3757] lr: 6.9537e-03 eta: 1 day, 22:34:21 time: 0.3967 data_time: 0.0164 memory: 17007 grad_norm: 6.4882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1140 loss: 2.1140 2022/07/27 21:38:28 - mmengine - INFO - Epoch(train) [68][2060/3757] lr: 6.9537e-03 eta: 1 day, 22:34:13 time: 0.3964 data_time: 0.0153 memory: 17007 grad_norm: 6.5475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9020 loss: 1.9020 2022/07/27 21:38:36 - mmengine - INFO - Epoch(train) [68][2080/3757] lr: 6.9537e-03 eta: 1 day, 22:34:05 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 6.8347 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4985 loss: 2.4985 2022/07/27 21:38:44 - mmengine - INFO - Epoch(train) [68][2100/3757] lr: 6.9537e-03 eta: 1 day, 22:33:57 time: 0.3948 data_time: 0.0141 memory: 17007 grad_norm: 6.3025 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8290 loss: 1.8290 2022/07/27 21:38:52 - mmengine - INFO - Epoch(train) [68][2120/3757] lr: 6.9537e-03 eta: 1 day, 22:33:49 time: 0.3954 data_time: 0.0164 memory: 17007 grad_norm: 6.3308 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9615 loss: 1.9615 2022/07/27 21:39:00 - mmengine - INFO - Epoch(train) [68][2140/3757] lr: 6.9537e-03 eta: 1 day, 22:33:41 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 6.4797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0649 loss: 2.0649 2022/07/27 21:39:07 - mmengine - INFO - Epoch(train) [68][2160/3757] lr: 6.9537e-03 eta: 1 day, 22:33:33 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 6.6262 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2793 loss: 2.2793 2022/07/27 21:39:16 - mmengine - INFO - Epoch(train) [68][2180/3757] lr: 6.9537e-03 eta: 1 day, 22:33:25 time: 0.4129 data_time: 0.0163 memory: 17007 grad_norm: 6.4555 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9780 loss: 1.9780 2022/07/27 21:39:24 - mmengine - INFO - Epoch(train) [68][2200/3757] lr: 6.9537e-03 eta: 1 day, 22:33:18 time: 0.3966 data_time: 0.0165 memory: 17007 grad_norm: 6.2768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1699 loss: 2.1699 2022/07/27 21:39:32 - mmengine - INFO - Epoch(train) [68][2220/3757] lr: 6.9537e-03 eta: 1 day, 22:33:09 time: 0.3941 data_time: 0.0146 memory: 17007 grad_norm: 6.4872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2116 loss: 2.2116 2022/07/27 21:39:40 - mmengine - INFO - Epoch(train) [68][2240/3757] lr: 6.9537e-03 eta: 1 day, 22:33:02 time: 0.4041 data_time: 0.0200 memory: 17007 grad_norm: 6.5310 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1589 loss: 2.1589 2022/07/27 21:39:48 - mmengine - INFO - Epoch(train) [68][2260/3757] lr: 6.9537e-03 eta: 1 day, 22:32:54 time: 0.3936 data_time: 0.0146 memory: 17007 grad_norm: 6.5043 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0761 loss: 2.0761 2022/07/27 21:39:56 - mmengine - INFO - Epoch(train) [68][2280/3757] lr: 6.9537e-03 eta: 1 day, 22:32:47 time: 0.4194 data_time: 0.0151 memory: 17007 grad_norm: 6.7467 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2760 loss: 2.2760 2022/07/27 21:39:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:40:04 - mmengine - INFO - Epoch(train) [68][2300/3757] lr: 6.9537e-03 eta: 1 day, 22:32:39 time: 0.4028 data_time: 0.0149 memory: 17007 grad_norm: 6.5659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1906 loss: 2.1906 2022/07/27 21:40:12 - mmengine - INFO - Epoch(train) [68][2320/3757] lr: 6.9537e-03 eta: 1 day, 22:32:31 time: 0.4037 data_time: 0.0165 memory: 17007 grad_norm: 6.4267 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2872 loss: 2.2872 2022/07/27 21:40:20 - mmengine - INFO - Epoch(train) [68][2340/3757] lr: 6.9537e-03 eta: 1 day, 22:32:23 time: 0.3998 data_time: 0.0160 memory: 17007 grad_norm: 6.4911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2963 loss: 2.2963 2022/07/27 21:40:28 - mmengine - INFO - Epoch(train) [68][2360/3757] lr: 6.9537e-03 eta: 1 day, 22:32:15 time: 0.3924 data_time: 0.0142 memory: 17007 grad_norm: 6.7169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4114 loss: 2.4114 2022/07/27 21:40:36 - mmengine - INFO - Epoch(train) [68][2380/3757] lr: 6.9537e-03 eta: 1 day, 22:32:08 time: 0.4065 data_time: 0.0150 memory: 17007 grad_norm: 6.6483 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2371 loss: 2.2371 2022/07/27 21:40:44 - mmengine - INFO - Epoch(train) [68][2400/3757] lr: 6.9537e-03 eta: 1 day, 22:32:00 time: 0.4017 data_time: 0.0167 memory: 17007 grad_norm: 6.7529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3274 loss: 2.3274 2022/07/27 21:40:53 - mmengine - INFO - Epoch(train) [68][2420/3757] lr: 6.9537e-03 eta: 1 day, 22:31:53 time: 0.4339 data_time: 0.0155 memory: 17007 grad_norm: 6.8481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1905 loss: 2.1905 2022/07/27 21:41:01 - mmengine - INFO - Epoch(train) [68][2440/3757] lr: 6.9537e-03 eta: 1 day, 22:31:45 time: 0.4008 data_time: 0.0157 memory: 17007 grad_norm: 6.5371 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2679 loss: 2.2679 2022/07/27 21:41:09 - mmengine - INFO - Epoch(train) [68][2460/3757] lr: 6.9537e-03 eta: 1 day, 22:31:38 time: 0.4015 data_time: 0.0161 memory: 17007 grad_norm: 6.6612 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4492 loss: 2.4492 2022/07/27 21:41:17 - mmengine - INFO - Epoch(train) [68][2480/3757] lr: 6.9537e-03 eta: 1 day, 22:31:30 time: 0.3971 data_time: 0.0154 memory: 17007 grad_norm: 6.5044 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4608 loss: 2.4608 2022/07/27 21:41:25 - mmengine - INFO - Epoch(train) [68][2500/3757] lr: 6.9537e-03 eta: 1 day, 22:31:22 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 6.5078 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2974 loss: 2.2974 2022/07/27 21:41:33 - mmengine - INFO - Epoch(train) [68][2520/3757] lr: 6.9537e-03 eta: 1 day, 22:31:14 time: 0.4000 data_time: 0.0174 memory: 17007 grad_norm: 6.4906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2486 loss: 2.2486 2022/07/27 21:41:41 - mmengine - INFO - Epoch(train) [68][2540/3757] lr: 6.9537e-03 eta: 1 day, 22:31:06 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 6.4327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0973 loss: 2.0973 2022/07/27 21:41:49 - mmengine - INFO - Epoch(train) [68][2560/3757] lr: 6.9537e-03 eta: 1 day, 22:30:58 time: 0.4019 data_time: 0.0157 memory: 17007 grad_norm: 6.6920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6387 loss: 2.6387 2022/07/27 21:41:57 - mmengine - INFO - Epoch(train) [68][2580/3757] lr: 6.9537e-03 eta: 1 day, 22:30:50 time: 0.3952 data_time: 0.0141 memory: 17007 grad_norm: 6.5978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3118 loss: 2.3118 2022/07/27 21:42:04 - mmengine - INFO - Epoch(train) [68][2600/3757] lr: 6.9537e-03 eta: 1 day, 22:30:42 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 6.4428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1779 loss: 2.1779 2022/07/27 21:42:13 - mmengine - INFO - Epoch(train) [68][2620/3757] lr: 6.9537e-03 eta: 1 day, 22:30:35 time: 0.4181 data_time: 0.0157 memory: 17007 grad_norm: 6.4012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3755 loss: 2.3755 2022/07/27 21:42:21 - mmengine - INFO - Epoch(train) [68][2640/3757] lr: 6.9537e-03 eta: 1 day, 22:30:27 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 6.2652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1741 loss: 2.1741 2022/07/27 21:42:29 - mmengine - INFO - Epoch(train) [68][2660/3757] lr: 6.9537e-03 eta: 1 day, 22:30:19 time: 0.4059 data_time: 0.0145 memory: 17007 grad_norm: 6.4813 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0453 loss: 2.0453 2022/07/27 21:42:37 - mmengine - INFO - Epoch(train) [68][2680/3757] lr: 6.9537e-03 eta: 1 day, 22:30:11 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 6.2515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1507 loss: 2.1507 2022/07/27 21:42:45 - mmengine - INFO - Epoch(train) [68][2700/3757] lr: 6.9537e-03 eta: 1 day, 22:30:03 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 6.6591 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3643 loss: 2.3643 2022/07/27 21:42:53 - mmengine - INFO - Epoch(train) [68][2720/3757] lr: 6.9537e-03 eta: 1 day, 22:29:55 time: 0.3971 data_time: 0.0159 memory: 17007 grad_norm: 6.5945 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3369 loss: 2.3369 2022/07/27 21:43:00 - mmengine - INFO - Epoch(train) [68][2740/3757] lr: 6.9537e-03 eta: 1 day, 22:29:47 time: 0.3921 data_time: 0.0137 memory: 17007 grad_norm: 6.4803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0432 loss: 2.0432 2022/07/27 21:43:08 - mmengine - INFO - Epoch(train) [68][2760/3757] lr: 6.9537e-03 eta: 1 day, 22:29:39 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 6.4772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9458 loss: 1.9458 2022/07/27 21:43:16 - mmengine - INFO - Epoch(train) [68][2780/3757] lr: 6.9537e-03 eta: 1 day, 22:29:31 time: 0.3999 data_time: 0.0151 memory: 17007 grad_norm: 6.5060 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4205 loss: 2.4205 2022/07/27 21:43:24 - mmengine - INFO - Epoch(train) [68][2800/3757] lr: 6.9537e-03 eta: 1 day, 22:29:23 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 6.3452 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2530 loss: 2.2530 2022/07/27 21:43:32 - mmengine - INFO - Epoch(train) [68][2820/3757] lr: 6.9537e-03 eta: 1 day, 22:29:15 time: 0.3983 data_time: 0.0166 memory: 17007 grad_norm: 6.6527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0044 loss: 2.0044 2022/07/27 21:43:40 - mmengine - INFO - Epoch(train) [68][2840/3757] lr: 6.9537e-03 eta: 1 day, 22:29:07 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 6.7973 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2763 loss: 2.2763 2022/07/27 21:43:48 - mmengine - INFO - Epoch(train) [68][2860/3757] lr: 6.9537e-03 eta: 1 day, 22:28:59 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 6.3951 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1767 loss: 2.1767 2022/07/27 21:43:56 - mmengine - INFO - Epoch(train) [68][2880/3757] lr: 6.9537e-03 eta: 1 day, 22:28:51 time: 0.4100 data_time: 0.0167 memory: 17007 grad_norm: 6.4141 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9857 loss: 1.9857 2022/07/27 21:44:04 - mmengine - INFO - Epoch(train) [68][2900/3757] lr: 6.9537e-03 eta: 1 day, 22:28:43 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 6.4755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0511 loss: 2.0511 2022/07/27 21:44:12 - mmengine - INFO - Epoch(train) [68][2920/3757] lr: 6.9537e-03 eta: 1 day, 22:28:36 time: 0.4053 data_time: 0.0166 memory: 17007 grad_norm: 6.7982 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9973 loss: 1.9973 2022/07/27 21:44:20 - mmengine - INFO - Epoch(train) [68][2940/3757] lr: 6.9537e-03 eta: 1 day, 22:28:28 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 6.4655 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1191 loss: 2.1191 2022/07/27 21:44:28 - mmengine - INFO - Epoch(train) [68][2960/3757] lr: 6.9537e-03 eta: 1 day, 22:28:20 time: 0.3929 data_time: 0.0149 memory: 17007 grad_norm: 6.5687 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2906 loss: 2.2906 2022/07/27 21:44:36 - mmengine - INFO - Epoch(train) [68][2980/3757] lr: 6.9537e-03 eta: 1 day, 22:28:12 time: 0.4041 data_time: 0.0161 memory: 17007 grad_norm: 6.5557 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3615 loss: 2.3615 2022/07/27 21:44:44 - mmengine - INFO - Epoch(train) [68][3000/3757] lr: 6.9537e-03 eta: 1 day, 22:28:04 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 6.4687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2211 loss: 2.2211 2022/07/27 21:44:52 - mmengine - INFO - Epoch(train) [68][3020/3757] lr: 6.9537e-03 eta: 1 day, 22:27:56 time: 0.4028 data_time: 0.0161 memory: 17007 grad_norm: 6.3318 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1093 loss: 2.1093 2022/07/27 21:45:00 - mmengine - INFO - Epoch(train) [68][3040/3757] lr: 6.9537e-03 eta: 1 day, 22:27:48 time: 0.3969 data_time: 0.0159 memory: 17007 grad_norm: 6.4295 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1549 loss: 2.1549 2022/07/27 21:45:08 - mmengine - INFO - Epoch(train) [68][3060/3757] lr: 6.9537e-03 eta: 1 day, 22:27:40 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 6.4919 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2744 loss: 2.2744 2022/07/27 21:45:16 - mmengine - INFO - Epoch(train) [68][3080/3757] lr: 6.9537e-03 eta: 1 day, 22:27:32 time: 0.3986 data_time: 0.0164 memory: 17007 grad_norm: 6.7151 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0885 loss: 2.0885 2022/07/27 21:45:24 - mmengine - INFO - Epoch(train) [68][3100/3757] lr: 6.9537e-03 eta: 1 day, 22:27:24 time: 0.3930 data_time: 0.0150 memory: 17007 grad_norm: 6.7295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0364 loss: 2.0364 2022/07/27 21:45:32 - mmengine - INFO - Epoch(train) [68][3120/3757] lr: 6.9537e-03 eta: 1 day, 22:27:16 time: 0.3984 data_time: 0.0166 memory: 17007 grad_norm: 6.5989 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2086 loss: 2.2086 2022/07/27 21:45:39 - mmengine - INFO - Epoch(train) [68][3140/3757] lr: 6.9537e-03 eta: 1 day, 22:27:08 time: 0.3926 data_time: 0.0145 memory: 17007 grad_norm: 6.5449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1599 loss: 2.1599 2022/07/27 21:45:47 - mmengine - INFO - Epoch(train) [68][3160/3757] lr: 6.9537e-03 eta: 1 day, 22:27:00 time: 0.3930 data_time: 0.0153 memory: 17007 grad_norm: 6.6763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1844 loss: 2.1844 2022/07/27 21:45:55 - mmengine - INFO - Epoch(train) [68][3180/3757] lr: 6.9537e-03 eta: 1 day, 22:26:52 time: 0.3952 data_time: 0.0168 memory: 17007 grad_norm: 6.7327 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1903 loss: 2.1903 2022/07/27 21:46:03 - mmengine - INFO - Epoch(train) [68][3200/3757] lr: 6.9537e-03 eta: 1 day, 22:26:44 time: 0.4019 data_time: 0.0152 memory: 17007 grad_norm: 6.2875 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0674 loss: 2.0674 2022/07/27 21:46:11 - mmengine - INFO - Epoch(train) [68][3220/3757] lr: 6.9537e-03 eta: 1 day, 22:26:37 time: 0.4009 data_time: 0.0169 memory: 17007 grad_norm: 6.5902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0562 loss: 2.0562 2022/07/27 21:46:19 - mmengine - INFO - Epoch(train) [68][3240/3757] lr: 6.9537e-03 eta: 1 day, 22:26:29 time: 0.3971 data_time: 0.0150 memory: 17007 grad_norm: 6.5693 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3211 loss: 2.3211 2022/07/27 21:46:27 - mmengine - INFO - Epoch(train) [68][3260/3757] lr: 6.9537e-03 eta: 1 day, 22:26:21 time: 0.3929 data_time: 0.0143 memory: 17007 grad_norm: 6.4536 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0182 loss: 2.0182 2022/07/27 21:46:35 - mmengine - INFO - Epoch(train) [68][3280/3757] lr: 6.9537e-03 eta: 1 day, 22:26:13 time: 0.3961 data_time: 0.0166 memory: 17007 grad_norm: 6.5798 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9916 loss: 1.9916 2022/07/27 21:46:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:46:43 - mmengine - INFO - Epoch(train) [68][3300/3757] lr: 6.9537e-03 eta: 1 day, 22:26:05 time: 0.3973 data_time: 0.0147 memory: 17007 grad_norm: 6.5155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1537 loss: 2.1537 2022/07/27 21:46:51 - mmengine - INFO - Epoch(train) [68][3320/3757] lr: 6.9537e-03 eta: 1 day, 22:25:57 time: 0.4006 data_time: 0.0168 memory: 17007 grad_norm: 6.6466 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4497 loss: 2.4497 2022/07/27 21:46:59 - mmengine - INFO - Epoch(train) [68][3340/3757] lr: 6.9537e-03 eta: 1 day, 22:25:49 time: 0.3964 data_time: 0.0145 memory: 17007 grad_norm: 6.5217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5915 loss: 2.5915 2022/07/27 21:47:07 - mmengine - INFO - Epoch(train) [68][3360/3757] lr: 6.9537e-03 eta: 1 day, 22:25:41 time: 0.3966 data_time: 0.0151 memory: 17007 grad_norm: 6.6135 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2649 loss: 2.2649 2022/07/27 21:47:15 - mmengine - INFO - Epoch(train) [68][3380/3757] lr: 6.9537e-03 eta: 1 day, 22:25:33 time: 0.3998 data_time: 0.0159 memory: 17007 grad_norm: 6.8091 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1129 loss: 2.1129 2022/07/27 21:47:23 - mmengine - INFO - Epoch(train) [68][3400/3757] lr: 6.9537e-03 eta: 1 day, 22:25:25 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 6.6424 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2562 loss: 2.2562 2022/07/27 21:47:31 - mmengine - INFO - Epoch(train) [68][3420/3757] lr: 6.9537e-03 eta: 1 day, 22:25:17 time: 0.3972 data_time: 0.0155 memory: 17007 grad_norm: 6.6277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2161 loss: 2.2161 2022/07/27 21:47:39 - mmengine - INFO - Epoch(train) [68][3440/3757] lr: 6.9537e-03 eta: 1 day, 22:25:09 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 6.5607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2245 loss: 2.2245 2022/07/27 21:47:49 - mmengine - INFO - Epoch(train) [68][3460/3757] lr: 6.9537e-03 eta: 1 day, 22:25:05 time: 0.5077 data_time: 0.1338 memory: 17007 grad_norm: 6.8190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2898 loss: 2.2898 2022/07/27 21:48:04 - mmengine - INFO - Epoch(train) [68][3480/3757] lr: 6.9537e-03 eta: 1 day, 22:25:09 time: 0.7498 data_time: 0.0129 memory: 17007 grad_norm: 6.4767 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2472 loss: 2.2472 2022/07/27 21:48:16 - mmengine - INFO - Epoch(train) [68][3500/3757] lr: 6.9537e-03 eta: 1 day, 22:25:08 time: 0.6283 data_time: 0.0155 memory: 17007 grad_norm: 6.5865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1631 loss: 2.1631 2022/07/27 21:48:33 - mmengine - INFO - Epoch(train) [68][3520/3757] lr: 6.9537e-03 eta: 1 day, 22:25:16 time: 0.8542 data_time: 0.1999 memory: 17007 grad_norm: 6.7064 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2042 loss: 2.2042 2022/07/27 21:48:43 - mmengine - INFO - Epoch(train) [68][3540/3757] lr: 6.9537e-03 eta: 1 day, 22:25:11 time: 0.4956 data_time: 0.0172 memory: 17007 grad_norm: 6.5464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0601 loss: 2.0601 2022/07/27 21:48:51 - mmengine - INFO - Epoch(train) [68][3560/3757] lr: 6.9537e-03 eta: 1 day, 22:25:03 time: 0.4015 data_time: 0.0130 memory: 17007 grad_norm: 6.5592 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0960 loss: 2.0960 2022/07/27 21:48:59 - mmengine - INFO - Epoch(train) [68][3580/3757] lr: 6.9537e-03 eta: 1 day, 22:24:55 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 6.7523 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3428 loss: 2.3428 2022/07/27 21:49:07 - mmengine - INFO - Epoch(train) [68][3600/3757] lr: 6.9537e-03 eta: 1 day, 22:24:47 time: 0.3910 data_time: 0.0125 memory: 17007 grad_norm: 6.5828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2654 loss: 2.2654 2022/07/27 21:49:15 - mmengine - INFO - Epoch(train) [68][3620/3757] lr: 6.9537e-03 eta: 1 day, 22:24:39 time: 0.3975 data_time: 0.0179 memory: 17007 grad_norm: 6.6515 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6937 loss: 2.6937 2022/07/27 21:49:23 - mmengine - INFO - Epoch(train) [68][3640/3757] lr: 6.9537e-03 eta: 1 day, 22:24:31 time: 0.3940 data_time: 0.0132 memory: 17007 grad_norm: 6.3885 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2158 loss: 2.2158 2022/07/27 21:49:31 - mmengine - INFO - Epoch(train) [68][3660/3757] lr: 6.9537e-03 eta: 1 day, 22:24:23 time: 0.3981 data_time: 0.0163 memory: 17007 grad_norm: 6.2796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2293 loss: 2.2293 2022/07/27 21:49:39 - mmengine - INFO - Epoch(train) [68][3680/3757] lr: 6.9537e-03 eta: 1 day, 22:24:15 time: 0.3924 data_time: 0.0134 memory: 17007 grad_norm: 6.7350 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1834 loss: 2.1834 2022/07/27 21:49:47 - mmengine - INFO - Epoch(train) [68][3700/3757] lr: 6.9537e-03 eta: 1 day, 22:24:07 time: 0.4004 data_time: 0.0185 memory: 17007 grad_norm: 6.7719 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3327 loss: 2.3327 2022/07/27 21:49:55 - mmengine - INFO - Epoch(train) [68][3720/3757] lr: 6.9537e-03 eta: 1 day, 22:23:59 time: 0.3922 data_time: 0.0126 memory: 17007 grad_norm: 6.8781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3569 loss: 2.3569 2022/07/27 21:50:03 - mmengine - INFO - Epoch(train) [68][3740/3757] lr: 6.9537e-03 eta: 1 day, 22:23:51 time: 0.3992 data_time: 0.0161 memory: 17007 grad_norm: 6.3660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2320 loss: 2.2320 2022/07/27 21:50:09 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:50:09 - mmengine - INFO - Epoch(train) [68][3757/3757] lr: 6.9537e-03 eta: 1 day, 22:23:51 time: 0.3899 data_time: 0.0124 memory: 17007 grad_norm: 6.6165 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 2.0329 loss: 2.0329 2022/07/27 21:50:09 - mmengine - INFO - Saving checkpoint at 68 epochs 2022/07/27 21:50:22 - mmengine - INFO - Epoch(train) [69][20/3757] lr: 6.8730e-03 eta: 1 day, 22:23:30 time: 0.5240 data_time: 0.1443 memory: 17007 grad_norm: 6.3907 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2757 loss: 2.2757 2022/07/27 21:50:30 - mmengine - INFO - Epoch(train) [69][40/3757] lr: 6.8730e-03 eta: 1 day, 22:23:22 time: 0.3984 data_time: 0.0207 memory: 17007 grad_norm: 6.5153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2083 loss: 2.2083 2022/07/27 21:50:38 - mmengine - INFO - Epoch(train) [69][60/3757] lr: 6.8730e-03 eta: 1 day, 22:23:14 time: 0.3920 data_time: 0.0125 memory: 17007 grad_norm: 6.6810 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0926 loss: 2.0926 2022/07/27 21:50:45 - mmengine - INFO - Epoch(train) [69][80/3757] lr: 6.8730e-03 eta: 1 day, 22:23:06 time: 0.3947 data_time: 0.0156 memory: 17007 grad_norm: 6.4917 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1246 loss: 2.1246 2022/07/27 21:50:54 - mmengine - INFO - Epoch(train) [69][100/3757] lr: 6.8730e-03 eta: 1 day, 22:22:58 time: 0.4020 data_time: 0.0149 memory: 17007 grad_norm: 6.7549 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3342 loss: 2.3342 2022/07/27 21:51:01 - mmengine - INFO - Epoch(train) [69][120/3757] lr: 6.8730e-03 eta: 1 day, 22:22:50 time: 0.3928 data_time: 0.0155 memory: 17007 grad_norm: 6.4983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7984 loss: 1.7984 2022/07/27 21:51:09 - mmengine - INFO - Epoch(train) [69][140/3757] lr: 6.8730e-03 eta: 1 day, 22:22:42 time: 0.3944 data_time: 0.0145 memory: 17007 grad_norm: 6.7215 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2780 loss: 2.2780 2022/07/27 21:51:17 - mmengine - INFO - Epoch(train) [69][160/3757] lr: 6.8730e-03 eta: 1 day, 22:22:34 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 6.5551 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1937 loss: 2.1937 2022/07/27 21:51:25 - mmengine - INFO - Epoch(train) [69][180/3757] lr: 6.8730e-03 eta: 1 day, 22:22:26 time: 0.3914 data_time: 0.0124 memory: 17007 grad_norm: 6.4112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1544 loss: 2.1544 2022/07/27 21:51:33 - mmengine - INFO - Epoch(train) [69][200/3757] lr: 6.8730e-03 eta: 1 day, 22:22:18 time: 0.3964 data_time: 0.0169 memory: 17007 grad_norm: 6.5443 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1609 loss: 2.1609 2022/07/27 21:51:41 - mmengine - INFO - Epoch(train) [69][220/3757] lr: 6.8730e-03 eta: 1 day, 22:22:10 time: 0.3931 data_time: 0.0138 memory: 17007 grad_norm: 6.5900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2896 loss: 2.2896 2022/07/27 21:51:49 - mmengine - INFO - Epoch(train) [69][240/3757] lr: 6.8730e-03 eta: 1 day, 22:22:02 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.3304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9920 loss: 1.9920 2022/07/27 21:51:57 - mmengine - INFO - Epoch(train) [69][260/3757] lr: 6.8730e-03 eta: 1 day, 22:21:54 time: 0.3992 data_time: 0.0127 memory: 17007 grad_norm: 6.5959 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9264 loss: 1.9264 2022/07/27 21:52:05 - mmengine - INFO - Epoch(train) [69][280/3757] lr: 6.8730e-03 eta: 1 day, 22:21:46 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 6.7235 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4436 loss: 2.4436 2022/07/27 21:52:12 - mmengine - INFO - Epoch(train) [69][300/3757] lr: 6.8730e-03 eta: 1 day, 22:21:38 time: 0.3932 data_time: 0.0139 memory: 17007 grad_norm: 6.5380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0663 loss: 2.0663 2022/07/27 21:52:20 - mmengine - INFO - Epoch(train) [69][320/3757] lr: 6.8730e-03 eta: 1 day, 22:21:29 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 6.2870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0653 loss: 2.0653 2022/07/27 21:52:28 - mmengine - INFO - Epoch(train) [69][340/3757] lr: 6.8730e-03 eta: 1 day, 22:21:21 time: 0.3916 data_time: 0.0140 memory: 17007 grad_norm: 6.5916 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3089 loss: 2.3089 2022/07/27 21:52:36 - mmengine - INFO - Epoch(train) [69][360/3757] lr: 6.8730e-03 eta: 1 day, 22:21:13 time: 0.3967 data_time: 0.0156 memory: 17007 grad_norm: 6.6416 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2337 loss: 2.2337 2022/07/27 21:52:44 - mmengine - INFO - Epoch(train) [69][380/3757] lr: 6.8730e-03 eta: 1 day, 22:21:05 time: 0.3933 data_time: 0.0144 memory: 17007 grad_norm: 6.3094 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2168 loss: 2.2168 2022/07/27 21:52:52 - mmengine - INFO - Epoch(train) [69][400/3757] lr: 6.8730e-03 eta: 1 day, 22:20:57 time: 0.3949 data_time: 0.0157 memory: 17007 grad_norm: 6.4833 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4164 loss: 2.4164 2022/07/27 21:53:00 - mmengine - INFO - Epoch(train) [69][420/3757] lr: 6.8730e-03 eta: 1 day, 22:20:49 time: 0.3961 data_time: 0.0148 memory: 17007 grad_norm: 6.3588 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3078 loss: 2.3078 2022/07/27 21:53:08 - mmengine - INFO - Epoch(train) [69][440/3757] lr: 6.8730e-03 eta: 1 day, 22:20:41 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 6.3578 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1491 loss: 2.1491 2022/07/27 21:53:16 - mmengine - INFO - Epoch(train) [69][460/3757] lr: 6.8730e-03 eta: 1 day, 22:20:33 time: 0.3959 data_time: 0.0162 memory: 17007 grad_norm: 6.7581 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1307 loss: 2.1307 2022/07/27 21:53:23 - mmengine - INFO - Epoch(train) [69][480/3757] lr: 6.8730e-03 eta: 1 day, 22:20:25 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 6.5516 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3445 loss: 2.3445 2022/07/27 21:53:31 - mmengine - INFO - Epoch(train) [69][500/3757] lr: 6.8730e-03 eta: 1 day, 22:20:17 time: 0.3950 data_time: 0.0136 memory: 17007 grad_norm: 6.5524 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0705 loss: 2.0705 2022/07/27 21:53:39 - mmengine - INFO - Epoch(train) [69][520/3757] lr: 6.8730e-03 eta: 1 day, 22:20:09 time: 0.3923 data_time: 0.0156 memory: 17007 grad_norm: 6.5642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9476 loss: 1.9476 2022/07/27 21:53:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 21:53:47 - mmengine - INFO - Epoch(train) [69][540/3757] lr: 6.8730e-03 eta: 1 day, 22:20:01 time: 0.3981 data_time: 0.0141 memory: 17007 grad_norm: 6.6090 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2396 loss: 2.2396 2022/07/27 21:53:55 - mmengine - INFO - Epoch(train) [69][560/3757] lr: 6.8730e-03 eta: 1 day, 22:19:53 time: 0.3935 data_time: 0.0164 memory: 17007 grad_norm: 6.5400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4022 loss: 2.4022 2022/07/27 21:54:03 - mmengine - INFO - Epoch(train) [69][580/3757] lr: 6.8730e-03 eta: 1 day, 22:19:45 time: 0.3948 data_time: 0.0140 memory: 17007 grad_norm: 6.3919 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0091 loss: 2.0091 2022/07/27 21:54:11 - mmengine - INFO - Epoch(train) [69][600/3757] lr: 6.8730e-03 eta: 1 day, 22:19:37 time: 0.4015 data_time: 0.0162 memory: 17007 grad_norm: 6.4524 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1471 loss: 2.1471 2022/07/27 21:54:19 - mmengine - INFO - Epoch(train) [69][620/3757] lr: 6.8730e-03 eta: 1 day, 22:19:29 time: 0.3914 data_time: 0.0154 memory: 17007 grad_norm: 6.5696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3275 loss: 2.3275 2022/07/27 21:54:27 - mmengine - INFO - Epoch(train) [69][640/3757] lr: 6.8730e-03 eta: 1 day, 22:19:21 time: 0.3952 data_time: 0.0150 memory: 17007 grad_norm: 6.6513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8210 loss: 1.8210 2022/07/27 21:54:35 - mmengine - INFO - Epoch(train) [69][660/3757] lr: 6.8730e-03 eta: 1 day, 22:19:13 time: 0.3952 data_time: 0.0157 memory: 17007 grad_norm: 6.3466 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4048 loss: 2.4048 2022/07/27 21:54:43 - mmengine - INFO - Epoch(train) [69][680/3757] lr: 6.8730e-03 eta: 1 day, 22:19:05 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 6.7816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0870 loss: 2.0870 2022/07/27 21:54:51 - mmengine - INFO - Epoch(train) [69][700/3757] lr: 6.8730e-03 eta: 1 day, 22:18:57 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 6.7207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1981 loss: 2.1981 2022/07/27 21:54:58 - mmengine - INFO - Epoch(train) [69][720/3757] lr: 6.8730e-03 eta: 1 day, 22:18:49 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 6.6546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1335 loss: 2.1335 2022/07/27 21:55:06 - mmengine - INFO - Epoch(train) [69][740/3757] lr: 6.8730e-03 eta: 1 day, 22:18:41 time: 0.3941 data_time: 0.0142 memory: 17007 grad_norm: 6.6123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0497 loss: 2.0497 2022/07/27 21:55:14 - mmengine - INFO - Epoch(train) [69][760/3757] lr: 6.8730e-03 eta: 1 day, 22:18:33 time: 0.3972 data_time: 0.0177 memory: 17007 grad_norm: 6.6374 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2385 loss: 2.2385 2022/07/27 21:55:22 - mmengine - INFO - Epoch(train) [69][780/3757] lr: 6.8730e-03 eta: 1 day, 22:18:25 time: 0.3918 data_time: 0.0126 memory: 17007 grad_norm: 6.5901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3281 loss: 2.3281 2022/07/27 21:55:30 - mmengine - INFO - Epoch(train) [69][800/3757] lr: 6.8730e-03 eta: 1 day, 22:18:17 time: 0.3994 data_time: 0.0183 memory: 17007 grad_norm: 6.3707 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1709 loss: 2.1709 2022/07/27 21:55:38 - mmengine - INFO - Epoch(train) [69][820/3757] lr: 6.8730e-03 eta: 1 day, 22:18:09 time: 0.3924 data_time: 0.0137 memory: 17007 grad_norm: 6.6565 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2481 loss: 2.2481 2022/07/27 21:55:46 - mmengine - INFO - Epoch(train) [69][840/3757] lr: 6.8730e-03 eta: 1 day, 22:18:01 time: 0.3939 data_time: 0.0153 memory: 17007 grad_norm: 6.3460 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0398 loss: 2.0398 2022/07/27 21:55:54 - mmengine - INFO - Epoch(train) [69][860/3757] lr: 6.8730e-03 eta: 1 day, 22:17:53 time: 0.3966 data_time: 0.0160 memory: 17007 grad_norm: 6.4089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6358 loss: 1.6358 2022/07/27 21:56:02 - mmengine - INFO - Epoch(train) [69][880/3757] lr: 6.8730e-03 eta: 1 day, 22:17:46 time: 0.4025 data_time: 0.0165 memory: 17007 grad_norm: 6.5322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1339 loss: 2.1339 2022/07/27 21:56:10 - mmengine - INFO - Epoch(train) [69][900/3757] lr: 6.8730e-03 eta: 1 day, 22:17:37 time: 0.3903 data_time: 0.0139 memory: 17007 grad_norm: 6.5314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0700 loss: 2.0700 2022/07/27 21:56:18 - mmengine - INFO - Epoch(train) [69][920/3757] lr: 6.8730e-03 eta: 1 day, 22:17:29 time: 0.3942 data_time: 0.0162 memory: 17007 grad_norm: 7.1201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3944 loss: 2.3944 2022/07/27 21:56:26 - mmengine - INFO - Epoch(train) [69][940/3757] lr: 6.8730e-03 eta: 1 day, 22:17:22 time: 0.4045 data_time: 0.0143 memory: 17007 grad_norm: 6.5038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1325 loss: 2.1325 2022/07/27 21:56:34 - mmengine - INFO - Epoch(train) [69][960/3757] lr: 6.8730e-03 eta: 1 day, 22:17:14 time: 0.4001 data_time: 0.0164 memory: 17007 grad_norm: 6.7149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4740 loss: 2.4740 2022/07/27 21:56:42 - mmengine - INFO - Epoch(train) [69][980/3757] lr: 6.8730e-03 eta: 1 day, 22:17:06 time: 0.4049 data_time: 0.0162 memory: 17007 grad_norm: 6.6101 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2637 loss: 2.2637 2022/07/27 21:56:50 - mmengine - INFO - Epoch(train) [69][1000/3757] lr: 6.8730e-03 eta: 1 day, 22:16:58 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 6.4002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1976 loss: 2.1976 2022/07/27 21:56:57 - mmengine - INFO - Epoch(train) [69][1020/3757] lr: 6.8730e-03 eta: 1 day, 22:16:50 time: 0.3942 data_time: 0.0139 memory: 17007 grad_norm: 6.3677 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8970 loss: 1.8970 2022/07/27 21:57:05 - mmengine - INFO - Epoch(train) [69][1040/3757] lr: 6.8730e-03 eta: 1 day, 22:16:42 time: 0.3977 data_time: 0.0170 memory: 17007 grad_norm: 6.6819 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3280 loss: 2.3280 2022/07/27 21:57:13 - mmengine - INFO - Epoch(train) [69][1060/3757] lr: 6.8730e-03 eta: 1 day, 22:16:34 time: 0.3985 data_time: 0.0141 memory: 17007 grad_norm: 6.7925 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2137 loss: 2.2137 2022/07/27 21:57:21 - mmengine - INFO - Epoch(train) [69][1080/3757] lr: 6.8730e-03 eta: 1 day, 22:16:26 time: 0.3981 data_time: 0.0165 memory: 17007 grad_norm: 6.4685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9955 loss: 1.9955 2022/07/27 21:57:29 - mmengine - INFO - Epoch(train) [69][1100/3757] lr: 6.8730e-03 eta: 1 day, 22:16:18 time: 0.3907 data_time: 0.0130 memory: 17007 grad_norm: 6.4932 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4668 loss: 2.4668 2022/07/27 21:57:37 - mmengine - INFO - Epoch(train) [69][1120/3757] lr: 6.8730e-03 eta: 1 day, 22:16:10 time: 0.3986 data_time: 0.0151 memory: 17007 grad_norm: 6.6059 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0367 loss: 2.0367 2022/07/27 21:57:45 - mmengine - INFO - Epoch(train) [69][1140/3757] lr: 6.8730e-03 eta: 1 day, 22:16:02 time: 0.3939 data_time: 0.0157 memory: 17007 grad_norm: 6.6702 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2470 loss: 2.2470 2022/07/27 21:57:53 - mmengine - INFO - Epoch(train) [69][1160/3757] lr: 6.8730e-03 eta: 1 day, 22:15:54 time: 0.3934 data_time: 0.0144 memory: 17007 grad_norm: 6.7606 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1207 loss: 2.1207 2022/07/27 21:58:01 - mmengine - INFO - Epoch(train) [69][1180/3757] lr: 6.8730e-03 eta: 1 day, 22:15:46 time: 0.3967 data_time: 0.0139 memory: 17007 grad_norm: 6.6885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0655 loss: 2.0655 2022/07/27 21:58:09 - mmengine - INFO - Epoch(train) [69][1200/3757] lr: 6.8730e-03 eta: 1 day, 22:15:38 time: 0.3920 data_time: 0.0149 memory: 17007 grad_norm: 6.6768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3734 loss: 2.3734 2022/07/27 21:58:17 - mmengine - INFO - Epoch(train) [69][1220/3757] lr: 6.8730e-03 eta: 1 day, 22:15:30 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 6.4367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9977 loss: 1.9977 2022/07/27 21:58:25 - mmengine - INFO - Epoch(train) [69][1240/3757] lr: 6.8730e-03 eta: 1 day, 22:15:22 time: 0.3949 data_time: 0.0154 memory: 17007 grad_norm: 6.7442 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1242 loss: 2.1242 2022/07/27 21:58:33 - mmengine - INFO - Epoch(train) [69][1260/3757] lr: 6.8730e-03 eta: 1 day, 22:15:15 time: 0.4146 data_time: 0.0187 memory: 17007 grad_norm: 6.5227 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2612 loss: 2.2612 2022/07/27 21:58:41 - mmengine - INFO - Epoch(train) [69][1280/3757] lr: 6.8730e-03 eta: 1 day, 22:15:07 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 6.3072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1816 loss: 2.1816 2022/07/27 21:58:49 - mmengine - INFO - Epoch(train) [69][1300/3757] lr: 6.8730e-03 eta: 1 day, 22:14:59 time: 0.3925 data_time: 0.0142 memory: 17007 grad_norm: 6.6386 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0716 loss: 2.0716 2022/07/27 21:58:57 - mmengine - INFO - Epoch(train) [69][1320/3757] lr: 6.8730e-03 eta: 1 day, 22:14:51 time: 0.4021 data_time: 0.0167 memory: 17007 grad_norm: 6.6399 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0889 loss: 2.0889 2022/07/27 21:59:05 - mmengine - INFO - Epoch(train) [69][1340/3757] lr: 6.8730e-03 eta: 1 day, 22:14:43 time: 0.3920 data_time: 0.0143 memory: 17007 grad_norm: 6.8016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2307 loss: 2.2307 2022/07/27 21:59:13 - mmengine - INFO - Epoch(train) [69][1360/3757] lr: 6.8730e-03 eta: 1 day, 22:14:35 time: 0.3996 data_time: 0.0160 memory: 17007 grad_norm: 6.5597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1131 loss: 2.1131 2022/07/27 21:59:20 - mmengine - INFO - Epoch(train) [69][1380/3757] lr: 6.8730e-03 eta: 1 day, 22:14:27 time: 0.3916 data_time: 0.0138 memory: 17007 grad_norm: 6.5742 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9323 loss: 1.9323 2022/07/27 21:59:28 - mmengine - INFO - Epoch(train) [69][1400/3757] lr: 6.8730e-03 eta: 1 day, 22:14:19 time: 0.3942 data_time: 0.0159 memory: 17007 grad_norm: 6.7455 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3388 loss: 2.3388 2022/07/27 21:59:36 - mmengine - INFO - Epoch(train) [69][1420/3757] lr: 6.8730e-03 eta: 1 day, 22:14:11 time: 0.4075 data_time: 0.0143 memory: 17007 grad_norm: 6.6066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0611 loss: 2.0611 2022/07/27 21:59:44 - mmengine - INFO - Epoch(train) [69][1440/3757] lr: 6.8730e-03 eta: 1 day, 22:14:03 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 6.3928 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1263 loss: 2.1263 2022/07/27 21:59:53 - mmengine - INFO - Epoch(train) [69][1460/3757] lr: 6.8730e-03 eta: 1 day, 22:13:56 time: 0.4088 data_time: 0.0146 memory: 17007 grad_norm: 6.7062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1170 loss: 2.1170 2022/07/27 22:00:00 - mmengine - INFO - Epoch(train) [69][1480/3757] lr: 6.8730e-03 eta: 1 day, 22:13:48 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 6.5327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1537 loss: 2.1537 2022/07/27 22:00:08 - mmengine - INFO - Epoch(train) [69][1500/3757] lr: 6.8730e-03 eta: 1 day, 22:13:40 time: 0.3933 data_time: 0.0142 memory: 17007 grad_norm: 6.3786 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3750 loss: 2.3750 2022/07/27 22:00:16 - mmengine - INFO - Epoch(train) [69][1520/3757] lr: 6.8730e-03 eta: 1 day, 22:13:32 time: 0.4056 data_time: 0.0167 memory: 17007 grad_norm: 6.6804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2842 loss: 2.2842 2022/07/27 22:00:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:00:24 - mmengine - INFO - Epoch(train) [69][1540/3757] lr: 6.8730e-03 eta: 1 day, 22:13:24 time: 0.3931 data_time: 0.0127 memory: 17007 grad_norm: 6.5855 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0772 loss: 2.0772 2022/07/27 22:00:32 - mmengine - INFO - Epoch(train) [69][1560/3757] lr: 6.8730e-03 eta: 1 day, 22:13:16 time: 0.3976 data_time: 0.0158 memory: 17007 grad_norm: 6.7767 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3341 loss: 2.3341 2022/07/27 22:00:40 - mmengine - INFO - Epoch(train) [69][1580/3757] lr: 6.8730e-03 eta: 1 day, 22:13:08 time: 0.3916 data_time: 0.0132 memory: 17007 grad_norm: 6.4130 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2205 loss: 2.2205 2022/07/27 22:00:48 - mmengine - INFO - Epoch(train) [69][1600/3757] lr: 6.8730e-03 eta: 1 day, 22:13:00 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 6.3299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5038 loss: 2.5038 2022/07/27 22:00:56 - mmengine - INFO - Epoch(train) [69][1620/3757] lr: 6.8730e-03 eta: 1 day, 22:12:52 time: 0.4014 data_time: 0.0148 memory: 17007 grad_norm: 6.7054 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1371 loss: 2.1371 2022/07/27 22:01:04 - mmengine - INFO - Epoch(train) [69][1640/3757] lr: 6.8730e-03 eta: 1 day, 22:12:44 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 6.6395 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2342 loss: 2.2342 2022/07/27 22:01:12 - mmengine - INFO - Epoch(train) [69][1660/3757] lr: 6.8730e-03 eta: 1 day, 22:12:37 time: 0.4111 data_time: 0.0154 memory: 17007 grad_norm: 6.8906 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0965 loss: 2.0965 2022/07/27 22:01:20 - mmengine - INFO - Epoch(train) [69][1680/3757] lr: 6.8730e-03 eta: 1 day, 22:12:28 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 6.5581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0369 loss: 2.0369 2022/07/27 22:01:28 - mmengine - INFO - Epoch(train) [69][1700/3757] lr: 6.8730e-03 eta: 1 day, 22:12:20 time: 0.3930 data_time: 0.0135 memory: 17007 grad_norm: 6.3862 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1132 loss: 2.1132 2022/07/27 22:01:36 - mmengine - INFO - Epoch(train) [69][1720/3757] lr: 6.8730e-03 eta: 1 day, 22:12:13 time: 0.4012 data_time: 0.0164 memory: 17007 grad_norm: 6.3020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0793 loss: 2.0793 2022/07/27 22:01:44 - mmengine - INFO - Epoch(train) [69][1740/3757] lr: 6.8730e-03 eta: 1 day, 22:12:05 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 6.6058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1310 loss: 2.1310 2022/07/27 22:01:52 - mmengine - INFO - Epoch(train) [69][1760/3757] lr: 6.8730e-03 eta: 1 day, 22:11:57 time: 0.4088 data_time: 0.0150 memory: 17007 grad_norm: 6.7832 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6386 loss: 2.6386 2022/07/27 22:02:00 - mmengine - INFO - Epoch(train) [69][1780/3757] lr: 6.8730e-03 eta: 1 day, 22:11:49 time: 0.3922 data_time: 0.0137 memory: 17007 grad_norm: 6.5221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0473 loss: 2.0473 2022/07/27 22:02:08 - mmengine - INFO - Epoch(train) [69][1800/3757] lr: 6.8730e-03 eta: 1 day, 22:11:41 time: 0.3931 data_time: 0.0144 memory: 17007 grad_norm: 6.6755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9973 loss: 1.9973 2022/07/27 22:02:16 - mmengine - INFO - Epoch(train) [69][1820/3757] lr: 6.8730e-03 eta: 1 day, 22:11:33 time: 0.4158 data_time: 0.0140 memory: 17007 grad_norm: 6.4565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3216 loss: 2.3216 2022/07/27 22:02:24 - mmengine - INFO - Epoch(train) [69][1840/3757] lr: 6.8730e-03 eta: 1 day, 22:11:25 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 6.6363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9933 loss: 1.9933 2022/07/27 22:02:32 - mmengine - INFO - Epoch(train) [69][1860/3757] lr: 6.8730e-03 eta: 1 day, 22:11:18 time: 0.4019 data_time: 0.0162 memory: 17007 grad_norm: 6.5762 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4072 loss: 2.4072 2022/07/27 22:02:40 - mmengine - INFO - Epoch(train) [69][1880/3757] lr: 6.8730e-03 eta: 1 day, 22:11:10 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 6.5349 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3097 loss: 2.3097 2022/07/27 22:02:48 - mmengine - INFO - Epoch(train) [69][1900/3757] lr: 6.8730e-03 eta: 1 day, 22:11:02 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 6.9142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2955 loss: 2.2955 2022/07/27 22:02:56 - mmengine - INFO - Epoch(train) [69][1920/3757] lr: 6.8730e-03 eta: 1 day, 22:10:54 time: 0.4079 data_time: 0.0167 memory: 17007 grad_norm: 6.6379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3700 loss: 2.3700 2022/07/27 22:03:04 - mmengine - INFO - Epoch(train) [69][1940/3757] lr: 6.8730e-03 eta: 1 day, 22:10:46 time: 0.3938 data_time: 0.0138 memory: 17007 grad_norm: 6.6107 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1376 loss: 2.1376 2022/07/27 22:03:12 - mmengine - INFO - Epoch(train) [69][1960/3757] lr: 6.8730e-03 eta: 1 day, 22:10:38 time: 0.4050 data_time: 0.0164 memory: 17007 grad_norm: 6.7527 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4871 loss: 2.4871 2022/07/27 22:03:20 - mmengine - INFO - Epoch(train) [69][1980/3757] lr: 6.8730e-03 eta: 1 day, 22:10:30 time: 0.3935 data_time: 0.0145 memory: 17007 grad_norm: 6.5950 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1079 loss: 2.1079 2022/07/27 22:03:28 - mmengine - INFO - Epoch(train) [69][2000/3757] lr: 6.8730e-03 eta: 1 day, 22:10:22 time: 0.3937 data_time: 0.0156 memory: 17007 grad_norm: 6.2943 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0207 loss: 2.0207 2022/07/27 22:03:36 - mmengine - INFO - Epoch(train) [69][2020/3757] lr: 6.8730e-03 eta: 1 day, 22:10:14 time: 0.3987 data_time: 0.0143 memory: 17007 grad_norm: 6.7371 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0664 loss: 2.0664 2022/07/27 22:03:43 - mmengine - INFO - Epoch(train) [69][2040/3757] lr: 6.8730e-03 eta: 1 day, 22:10:06 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 6.4954 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9055 loss: 1.9055 2022/07/27 22:03:51 - mmengine - INFO - Epoch(train) [69][2060/3757] lr: 6.8730e-03 eta: 1 day, 22:09:58 time: 0.3967 data_time: 0.0141 memory: 17007 grad_norm: 6.7054 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1781 loss: 2.1781 2022/07/27 22:03:59 - mmengine - INFO - Epoch(train) [69][2080/3757] lr: 6.8730e-03 eta: 1 day, 22:09:50 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 6.7865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4039 loss: 2.4039 2022/07/27 22:04:07 - mmengine - INFO - Epoch(train) [69][2100/3757] lr: 6.8730e-03 eta: 1 day, 22:09:42 time: 0.3922 data_time: 0.0138 memory: 17007 grad_norm: 6.6804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2676 loss: 2.2676 2022/07/27 22:04:15 - mmengine - INFO - Epoch(train) [69][2120/3757] lr: 6.8730e-03 eta: 1 day, 22:09:35 time: 0.4042 data_time: 0.0157 memory: 17007 grad_norm: 6.7404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2750 loss: 2.2750 2022/07/27 22:04:23 - mmengine - INFO - Epoch(train) [69][2140/3757] lr: 6.8730e-03 eta: 1 day, 22:09:26 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 6.4833 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3740 loss: 2.3740 2022/07/27 22:04:31 - mmengine - INFO - Epoch(train) [69][2160/3757] lr: 6.8730e-03 eta: 1 day, 22:09:19 time: 0.4024 data_time: 0.0158 memory: 17007 grad_norm: 6.6063 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9942 loss: 1.9942 2022/07/27 22:04:39 - mmengine - INFO - Epoch(train) [69][2180/3757] lr: 6.8730e-03 eta: 1 day, 22:09:11 time: 0.3925 data_time: 0.0146 memory: 17007 grad_norm: 6.5168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0568 loss: 2.0568 2022/07/27 22:04:47 - mmengine - INFO - Epoch(train) [69][2200/3757] lr: 6.8730e-03 eta: 1 day, 22:09:03 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 6.7139 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4661 loss: 2.4661 2022/07/27 22:04:55 - mmengine - INFO - Epoch(train) [69][2220/3757] lr: 6.8730e-03 eta: 1 day, 22:08:55 time: 0.3969 data_time: 0.0142 memory: 17007 grad_norm: 6.5537 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3333 loss: 2.3333 2022/07/27 22:05:03 - mmengine - INFO - Epoch(train) [69][2240/3757] lr: 6.8730e-03 eta: 1 day, 22:08:47 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 6.5219 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1350 loss: 2.1350 2022/07/27 22:05:11 - mmengine - INFO - Epoch(train) [69][2260/3757] lr: 6.8730e-03 eta: 1 day, 22:08:39 time: 0.3950 data_time: 0.0141 memory: 17007 grad_norm: 6.7030 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3142 loss: 2.3142 2022/07/27 22:05:19 - mmengine - INFO - Epoch(train) [69][2280/3757] lr: 6.8730e-03 eta: 1 day, 22:08:31 time: 0.3965 data_time: 0.0158 memory: 17007 grad_norm: 6.7114 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1922 loss: 2.1922 2022/07/27 22:05:27 - mmengine - INFO - Epoch(train) [69][2300/3757] lr: 6.8730e-03 eta: 1 day, 22:08:23 time: 0.4038 data_time: 0.0254 memory: 17007 grad_norm: 6.7846 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3741 loss: 2.3741 2022/07/27 22:05:35 - mmengine - INFO - Epoch(train) [69][2320/3757] lr: 6.8730e-03 eta: 1 day, 22:08:15 time: 0.3993 data_time: 0.0170 memory: 17007 grad_norm: 6.2314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2693 loss: 2.2693 2022/07/27 22:05:43 - mmengine - INFO - Epoch(train) [69][2340/3757] lr: 6.8730e-03 eta: 1 day, 22:08:07 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 6.6014 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2884 loss: 2.2884 2022/07/27 22:05:50 - mmengine - INFO - Epoch(train) [69][2360/3757] lr: 6.8730e-03 eta: 1 day, 22:07:59 time: 0.3932 data_time: 0.0152 memory: 17007 grad_norm: 6.6848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3403 loss: 2.3403 2022/07/27 22:05:59 - mmengine - INFO - Epoch(train) [69][2380/3757] lr: 6.8730e-03 eta: 1 day, 22:07:51 time: 0.4089 data_time: 0.0154 memory: 17007 grad_norm: 6.6017 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7773 loss: 1.7773 2022/07/27 22:06:06 - mmengine - INFO - Epoch(train) [69][2400/3757] lr: 6.8730e-03 eta: 1 day, 22:07:43 time: 0.3950 data_time: 0.0165 memory: 17007 grad_norm: 6.3659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3311 loss: 2.3311 2022/07/27 22:06:14 - mmengine - INFO - Epoch(train) [69][2420/3757] lr: 6.8730e-03 eta: 1 day, 22:07:35 time: 0.3957 data_time: 0.0139 memory: 17007 grad_norm: 6.6773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3886 loss: 2.3886 2022/07/27 22:06:22 - mmengine - INFO - Epoch(train) [69][2440/3757] lr: 6.8730e-03 eta: 1 day, 22:07:27 time: 0.3941 data_time: 0.0159 memory: 17007 grad_norm: 6.5403 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2012 loss: 2.2012 2022/07/27 22:06:30 - mmengine - INFO - Epoch(train) [69][2460/3757] lr: 6.8730e-03 eta: 1 day, 22:07:19 time: 0.3927 data_time: 0.0146 memory: 17007 grad_norm: 6.6590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3274 loss: 2.3274 2022/07/27 22:06:38 - mmengine - INFO - Epoch(train) [69][2480/3757] lr: 6.8730e-03 eta: 1 day, 22:07:11 time: 0.3977 data_time: 0.0151 memory: 17007 grad_norm: 6.7417 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4820 loss: 2.4820 2022/07/27 22:06:46 - mmengine - INFO - Epoch(train) [69][2500/3757] lr: 6.8730e-03 eta: 1 day, 22:07:03 time: 0.3921 data_time: 0.0134 memory: 17007 grad_norm: 6.6487 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1309 loss: 2.1309 2022/07/27 22:06:54 - mmengine - INFO - Epoch(train) [69][2520/3757] lr: 6.8730e-03 eta: 1 day, 22:06:55 time: 0.3982 data_time: 0.0164 memory: 17007 grad_norm: 6.6767 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2727 loss: 2.2727 2022/07/27 22:06:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:07:02 - mmengine - INFO - Epoch(train) [69][2540/3757] lr: 6.8730e-03 eta: 1 day, 22:06:47 time: 0.3929 data_time: 0.0145 memory: 17007 grad_norm: 6.5581 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1527 loss: 2.1527 2022/07/27 22:07:10 - mmengine - INFO - Epoch(train) [69][2560/3757] lr: 6.8730e-03 eta: 1 day, 22:06:39 time: 0.3946 data_time: 0.0164 memory: 17007 grad_norm: 6.3985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3055 loss: 2.3055 2022/07/27 22:07:18 - mmengine - INFO - Epoch(train) [69][2580/3757] lr: 6.8730e-03 eta: 1 day, 22:06:32 time: 0.4015 data_time: 0.0161 memory: 17007 grad_norm: 6.4953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9090 loss: 1.9090 2022/07/27 22:07:26 - mmengine - INFO - Epoch(train) [69][2600/3757] lr: 6.8730e-03 eta: 1 day, 22:06:24 time: 0.3927 data_time: 0.0159 memory: 17007 grad_norm: 6.3489 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1555 loss: 2.1555 2022/07/27 22:07:34 - mmengine - INFO - Epoch(train) [69][2620/3757] lr: 6.8730e-03 eta: 1 day, 22:06:16 time: 0.4019 data_time: 0.0152 memory: 17007 grad_norm: 6.6215 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0547 loss: 2.0547 2022/07/27 22:07:42 - mmengine - INFO - Epoch(train) [69][2640/3757] lr: 6.8730e-03 eta: 1 day, 22:06:08 time: 0.3954 data_time: 0.0159 memory: 17007 grad_norm: 6.8215 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0851 loss: 2.0851 2022/07/27 22:07:49 - mmengine - INFO - Epoch(train) [69][2660/3757] lr: 6.8730e-03 eta: 1 day, 22:06:00 time: 0.3915 data_time: 0.0127 memory: 17007 grad_norm: 6.8508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2015 loss: 2.2015 2022/07/27 22:07:58 - mmengine - INFO - Epoch(train) [69][2680/3757] lr: 6.8730e-03 eta: 1 day, 22:05:52 time: 0.4072 data_time: 0.0164 memory: 17007 grad_norm: 6.6673 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5500 loss: 2.5500 2022/07/27 22:08:05 - mmengine - INFO - Epoch(train) [69][2700/3757] lr: 6.8730e-03 eta: 1 day, 22:05:44 time: 0.3931 data_time: 0.0144 memory: 17007 grad_norm: 6.5709 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9282 loss: 1.9282 2022/07/27 22:08:14 - mmengine - INFO - Epoch(train) [69][2720/3757] lr: 6.8730e-03 eta: 1 day, 22:05:36 time: 0.4034 data_time: 0.0163 memory: 17007 grad_norm: 6.6292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3862 loss: 2.3862 2022/07/27 22:08:21 - mmengine - INFO - Epoch(train) [69][2740/3757] lr: 6.8730e-03 eta: 1 day, 22:05:28 time: 0.3921 data_time: 0.0133 memory: 17007 grad_norm: 6.3582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0609 loss: 2.0609 2022/07/27 22:08:29 - mmengine - INFO - Epoch(train) [69][2760/3757] lr: 6.8730e-03 eta: 1 day, 22:05:20 time: 0.3931 data_time: 0.0159 memory: 17007 grad_norm: 6.3575 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2966 loss: 2.2966 2022/07/27 22:08:37 - mmengine - INFO - Epoch(train) [69][2780/3757] lr: 6.8730e-03 eta: 1 day, 22:05:12 time: 0.3917 data_time: 0.0106 memory: 17007 grad_norm: 6.4763 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6988 loss: 2.6988 2022/07/27 22:08:45 - mmengine - INFO - Epoch(train) [69][2800/3757] lr: 6.8730e-03 eta: 1 day, 22:05:04 time: 0.3923 data_time: 0.0150 memory: 17007 grad_norm: 6.6240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1331 loss: 2.1331 2022/07/27 22:08:53 - mmengine - INFO - Epoch(train) [69][2820/3757] lr: 6.8730e-03 eta: 1 day, 22:04:56 time: 0.3959 data_time: 0.0141 memory: 17007 grad_norm: 6.6445 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7721 loss: 1.7721 2022/07/27 22:09:01 - mmengine - INFO - Epoch(train) [69][2840/3757] lr: 6.8730e-03 eta: 1 day, 22:04:48 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.6205 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3870 loss: 2.3870 2022/07/27 22:09:09 - mmengine - INFO - Epoch(train) [69][2860/3757] lr: 6.8730e-03 eta: 1 day, 22:04:40 time: 0.3924 data_time: 0.0148 memory: 17007 grad_norm: 6.5289 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2879 loss: 2.2879 2022/07/27 22:09:17 - mmengine - INFO - Epoch(train) [69][2880/3757] lr: 6.8730e-03 eta: 1 day, 22:04:32 time: 0.4048 data_time: 0.0148 memory: 17007 grad_norm: 6.8688 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4538 loss: 2.4538 2022/07/27 22:09:25 - mmengine - INFO - Epoch(train) [69][2900/3757] lr: 6.8730e-03 eta: 1 day, 22:04:24 time: 0.3926 data_time: 0.0137 memory: 17007 grad_norm: 6.7916 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4097 loss: 2.4097 2022/07/27 22:09:33 - mmengine - INFO - Epoch(train) [69][2920/3757] lr: 6.8730e-03 eta: 1 day, 22:04:16 time: 0.3975 data_time: 0.0167 memory: 17007 grad_norm: 6.3884 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9274 loss: 1.9274 2022/07/27 22:09:40 - mmengine - INFO - Epoch(train) [69][2940/3757] lr: 6.8730e-03 eta: 1 day, 22:04:08 time: 0.3922 data_time: 0.0127 memory: 17007 grad_norm: 6.5323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0301 loss: 2.0301 2022/07/27 22:09:48 - mmengine - INFO - Epoch(train) [69][2960/3757] lr: 6.8730e-03 eta: 1 day, 22:04:00 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.6370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3281 loss: 2.3281 2022/07/27 22:09:56 - mmengine - INFO - Epoch(train) [69][2980/3757] lr: 6.8730e-03 eta: 1 day, 22:03:52 time: 0.4052 data_time: 0.0146 memory: 17007 grad_norm: 6.4669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0740 loss: 2.0740 2022/07/27 22:10:04 - mmengine - INFO - Epoch(train) [69][3000/3757] lr: 6.8730e-03 eta: 1 day, 22:03:44 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 6.7453 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2546 loss: 2.2546 2022/07/27 22:10:12 - mmengine - INFO - Epoch(train) [69][3020/3757] lr: 6.8730e-03 eta: 1 day, 22:03:37 time: 0.4030 data_time: 0.0150 memory: 17007 grad_norm: 6.8019 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3595 loss: 2.3595 2022/07/27 22:10:20 - mmengine - INFO - Epoch(train) [69][3040/3757] lr: 6.8730e-03 eta: 1 day, 22:03:28 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.7495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2869 loss: 2.2869 2022/07/27 22:10:28 - mmengine - INFO - Epoch(train) [69][3060/3757] lr: 6.8730e-03 eta: 1 day, 22:03:20 time: 0.3939 data_time: 0.0137 memory: 17007 grad_norm: 6.6004 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1682 loss: 2.1682 2022/07/27 22:10:36 - mmengine - INFO - Epoch(train) [69][3080/3757] lr: 6.8730e-03 eta: 1 day, 22:03:12 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 6.6441 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3522 loss: 2.3522 2022/07/27 22:10:44 - mmengine - INFO - Epoch(train) [69][3100/3757] lr: 6.8730e-03 eta: 1 day, 22:03:04 time: 0.3947 data_time: 0.0152 memory: 17007 grad_norm: 6.6158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1249 loss: 2.1249 2022/07/27 22:10:52 - mmengine - INFO - Epoch(train) [69][3120/3757] lr: 6.8730e-03 eta: 1 day, 22:02:56 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 6.5584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1285 loss: 2.1285 2022/07/27 22:11:00 - mmengine - INFO - Epoch(train) [69][3140/3757] lr: 6.8730e-03 eta: 1 day, 22:02:48 time: 0.3931 data_time: 0.0130 memory: 17007 grad_norm: 6.2675 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2710 loss: 2.2710 2022/07/27 22:11:08 - mmengine - INFO - Epoch(train) [69][3160/3757] lr: 6.8730e-03 eta: 1 day, 22:02:40 time: 0.3976 data_time: 0.0166 memory: 17007 grad_norm: 6.4704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1281 loss: 2.1281 2022/07/27 22:11:15 - mmengine - INFO - Epoch(train) [69][3180/3757] lr: 6.8730e-03 eta: 1 day, 22:02:32 time: 0.3943 data_time: 0.0144 memory: 17007 grad_norm: 6.6584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5115 loss: 2.5115 2022/07/27 22:11:23 - mmengine - INFO - Epoch(train) [69][3200/3757] lr: 6.8730e-03 eta: 1 day, 22:02:25 time: 0.4016 data_time: 0.0174 memory: 17007 grad_norm: 6.5167 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0402 loss: 2.0402 2022/07/27 22:11:31 - mmengine - INFO - Epoch(train) [69][3220/3757] lr: 6.8730e-03 eta: 1 day, 22:02:16 time: 0.3936 data_time: 0.0128 memory: 17007 grad_norm: 6.4673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2054 loss: 2.2054 2022/07/27 22:11:39 - mmengine - INFO - Epoch(train) [69][3240/3757] lr: 6.8730e-03 eta: 1 day, 22:02:08 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 6.6466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1803 loss: 2.1803 2022/07/27 22:11:47 - mmengine - INFO - Epoch(train) [69][3260/3757] lr: 6.8730e-03 eta: 1 day, 22:02:01 time: 0.4016 data_time: 0.0135 memory: 17007 grad_norm: 6.4250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0960 loss: 2.0960 2022/07/27 22:11:55 - mmengine - INFO - Epoch(train) [69][3280/3757] lr: 6.8730e-03 eta: 1 day, 22:01:53 time: 0.3950 data_time: 0.0148 memory: 17007 grad_norm: 6.6553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9752 loss: 1.9752 2022/07/27 22:12:03 - mmengine - INFO - Epoch(train) [69][3300/3757] lr: 6.8730e-03 eta: 1 day, 22:01:45 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 6.5590 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0433 loss: 2.0433 2022/07/27 22:12:11 - mmengine - INFO - Epoch(train) [69][3320/3757] lr: 6.8730e-03 eta: 1 day, 22:01:37 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 6.8521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3736 loss: 2.3736 2022/07/27 22:12:19 - mmengine - INFO - Epoch(train) [69][3340/3757] lr: 6.8730e-03 eta: 1 day, 22:01:29 time: 0.4143 data_time: 0.0134 memory: 17007 grad_norm: 6.4870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1584 loss: 2.1584 2022/07/27 22:12:27 - mmengine - INFO - Epoch(train) [69][3360/3757] lr: 6.8730e-03 eta: 1 day, 22:01:21 time: 0.3986 data_time: 0.0170 memory: 17007 grad_norm: 6.4153 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3853 loss: 2.3853 2022/07/27 22:12:35 - mmengine - INFO - Epoch(train) [69][3380/3757] lr: 6.8730e-03 eta: 1 day, 22:01:14 time: 0.4086 data_time: 0.0149 memory: 17007 grad_norm: 6.4844 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1892 loss: 2.1892 2022/07/27 22:12:43 - mmengine - INFO - Epoch(train) [69][3400/3757] lr: 6.8730e-03 eta: 1 day, 22:01:06 time: 0.3983 data_time: 0.0177 memory: 17007 grad_norm: 6.3307 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0533 loss: 2.0533 2022/07/27 22:12:51 - mmengine - INFO - Epoch(train) [69][3420/3757] lr: 6.8730e-03 eta: 1 day, 22:00:58 time: 0.3929 data_time: 0.0142 memory: 17007 grad_norm: 6.5288 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2900 loss: 2.2900 2022/07/27 22:13:00 - mmengine - INFO - Epoch(train) [69][3440/3757] lr: 6.8730e-03 eta: 1 day, 22:00:51 time: 0.4307 data_time: 0.0157 memory: 17007 grad_norm: 6.2399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1857 loss: 2.1857 2022/07/27 22:13:08 - mmengine - INFO - Epoch(train) [69][3460/3757] lr: 6.8730e-03 eta: 1 day, 22:00:43 time: 0.3981 data_time: 0.0148 memory: 17007 grad_norm: 6.3458 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1919 loss: 2.1919 2022/07/27 22:13:16 - mmengine - INFO - Epoch(train) [69][3480/3757] lr: 6.8730e-03 eta: 1 day, 22:00:35 time: 0.3937 data_time: 0.0155 memory: 17007 grad_norm: 6.6832 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1622 loss: 2.1622 2022/07/27 22:13:24 - mmengine - INFO - Epoch(train) [69][3500/3757] lr: 6.8730e-03 eta: 1 day, 22:00:27 time: 0.3975 data_time: 0.0154 memory: 17007 grad_norm: 6.3360 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2748 loss: 2.2748 2022/07/27 22:13:32 - mmengine - INFO - Epoch(train) [69][3520/3757] lr: 6.8730e-03 eta: 1 day, 22:00:19 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 6.5202 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2420 loss: 2.2420 2022/07/27 22:13:33 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:13:39 - mmengine - INFO - Epoch(train) [69][3540/3757] lr: 6.8730e-03 eta: 1 day, 22:00:11 time: 0.3913 data_time: 0.0131 memory: 17007 grad_norm: 6.7094 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3917 loss: 2.3917 2022/07/27 22:13:47 - mmengine - INFO - Epoch(train) [69][3560/3757] lr: 6.8730e-03 eta: 1 day, 22:00:03 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 6.6018 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9913 loss: 1.9913 2022/07/27 22:13:55 - mmengine - INFO - Epoch(train) [69][3580/3757] lr: 6.8730e-03 eta: 1 day, 21:59:55 time: 0.3918 data_time: 0.0125 memory: 17007 grad_norm: 6.1535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1239 loss: 2.1239 2022/07/27 22:14:03 - mmengine - INFO - Epoch(train) [69][3600/3757] lr: 6.8730e-03 eta: 1 day, 21:59:47 time: 0.3982 data_time: 0.0173 memory: 17007 grad_norm: 6.3650 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4142 loss: 2.4142 2022/07/27 22:14:11 - mmengine - INFO - Epoch(train) [69][3620/3757] lr: 6.8730e-03 eta: 1 day, 21:59:39 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 6.5128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1793 loss: 2.1793 2022/07/27 22:14:19 - mmengine - INFO - Epoch(train) [69][3640/3757] lr: 6.8730e-03 eta: 1 day, 21:59:31 time: 0.3917 data_time: 0.0144 memory: 17007 grad_norm: 6.4564 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9879 loss: 1.9879 2022/07/27 22:14:27 - mmengine - INFO - Epoch(train) [69][3660/3757] lr: 6.8730e-03 eta: 1 day, 21:59:23 time: 0.3954 data_time: 0.0165 memory: 17007 grad_norm: 6.3318 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0183 loss: 2.0183 2022/07/27 22:14:35 - mmengine - INFO - Epoch(train) [69][3680/3757] lr: 6.8730e-03 eta: 1 day, 21:59:15 time: 0.3937 data_time: 0.0152 memory: 17007 grad_norm: 6.6978 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4646 loss: 2.4646 2022/07/27 22:14:43 - mmengine - INFO - Epoch(train) [69][3700/3757] lr: 6.8730e-03 eta: 1 day, 21:59:07 time: 0.3943 data_time: 0.0148 memory: 17007 grad_norm: 6.4813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2541 loss: 2.2541 2022/07/27 22:14:51 - mmengine - INFO - Epoch(train) [69][3720/3757] lr: 6.8730e-03 eta: 1 day, 21:58:59 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 6.6471 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2820 loss: 2.2820 2022/07/27 22:14:58 - mmengine - INFO - Epoch(train) [69][3740/3757] lr: 6.8730e-03 eta: 1 day, 21:58:51 time: 0.3933 data_time: 0.0144 memory: 17007 grad_norm: 6.6459 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0274 loss: 2.0274 2022/07/27 22:15:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:15:05 - mmengine - INFO - Epoch(train) [69][3757/3757] lr: 6.8730e-03 eta: 1 day, 21:58:51 time: 0.4124 data_time: 0.0197 memory: 17007 grad_norm: 6.7439 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.3586 loss: 2.3586 2022/07/27 22:15:05 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/07/27 22:15:16 - mmengine - INFO - Epoch(train) [70][20/3757] lr: 6.7918e-03 eta: 1 day, 21:58:27 time: 0.4438 data_time: 0.0663 memory: 17007 grad_norm: 6.7514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0746 loss: 2.0746 2022/07/27 22:15:25 - mmengine - INFO - Epoch(train) [70][40/3757] lr: 6.7918e-03 eta: 1 day, 21:58:19 time: 0.4095 data_time: 0.0199 memory: 17007 grad_norm: 6.7441 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3615 loss: 2.3615 2022/07/27 22:15:32 - mmengine - INFO - Epoch(train) [70][60/3757] lr: 6.7918e-03 eta: 1 day, 21:58:11 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 6.2171 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0432 loss: 2.0432 2022/07/27 22:15:40 - mmengine - INFO - Epoch(train) [70][80/3757] lr: 6.7918e-03 eta: 1 day, 21:58:03 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 6.5190 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1619 loss: 2.1619 2022/07/27 22:15:49 - mmengine - INFO - Epoch(train) [70][100/3757] lr: 6.7918e-03 eta: 1 day, 21:57:56 time: 0.4183 data_time: 0.0163 memory: 17007 grad_norm: 6.6260 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0340 loss: 2.0340 2022/07/27 22:15:57 - mmengine - INFO - Epoch(train) [70][120/3757] lr: 6.7918e-03 eta: 1 day, 21:57:48 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 6.7755 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3620 loss: 2.3620 2022/07/27 22:16:05 - mmengine - INFO - Epoch(train) [70][140/3757] lr: 6.7918e-03 eta: 1 day, 21:57:40 time: 0.4099 data_time: 0.0148 memory: 17007 grad_norm: 6.5025 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8514 loss: 1.8514 2022/07/27 22:16:13 - mmengine - INFO - Epoch(train) [70][160/3757] lr: 6.7918e-03 eta: 1 day, 21:57:32 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 6.7757 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3781 loss: 2.3781 2022/07/27 22:16:21 - mmengine - INFO - Epoch(train) [70][180/3757] lr: 6.7918e-03 eta: 1 day, 21:57:24 time: 0.3911 data_time: 0.0158 memory: 17007 grad_norm: 6.5200 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9245 loss: 1.9245 2022/07/27 22:16:29 - mmengine - INFO - Epoch(train) [70][200/3757] lr: 6.7918e-03 eta: 1 day, 21:57:16 time: 0.4032 data_time: 0.0168 memory: 17007 grad_norm: 6.5567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0831 loss: 2.0831 2022/07/27 22:16:37 - mmengine - INFO - Epoch(train) [70][220/3757] lr: 6.7918e-03 eta: 1 day, 21:57:09 time: 0.4015 data_time: 0.0143 memory: 17007 grad_norm: 6.2999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0921 loss: 2.0921 2022/07/27 22:16:45 - mmengine - INFO - Epoch(train) [70][240/3757] lr: 6.7918e-03 eta: 1 day, 21:57:01 time: 0.4004 data_time: 0.0176 memory: 17007 grad_norm: 6.5926 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1283 loss: 2.1283 2022/07/27 22:16:53 - mmengine - INFO - Epoch(train) [70][260/3757] lr: 6.7918e-03 eta: 1 day, 21:56:53 time: 0.4051 data_time: 0.0146 memory: 17007 grad_norm: 6.5431 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9770 loss: 1.9770 2022/07/27 22:17:01 - mmengine - INFO - Epoch(train) [70][280/3757] lr: 6.7918e-03 eta: 1 day, 21:56:45 time: 0.3943 data_time: 0.0161 memory: 17007 grad_norm: 6.4202 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1213 loss: 2.1213 2022/07/27 22:17:09 - mmengine - INFO - Epoch(train) [70][300/3757] lr: 6.7918e-03 eta: 1 day, 21:56:37 time: 0.3960 data_time: 0.0166 memory: 17007 grad_norm: 6.3777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9752 loss: 1.9752 2022/07/27 22:17:16 - mmengine - INFO - Epoch(train) [70][320/3757] lr: 6.7918e-03 eta: 1 day, 21:56:29 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 6.6427 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0005 loss: 2.0005 2022/07/27 22:17:24 - mmengine - INFO - Epoch(train) [70][340/3757] lr: 6.7918e-03 eta: 1 day, 21:56:21 time: 0.4000 data_time: 0.0151 memory: 17007 grad_norm: 6.6898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4319 loss: 2.4319 2022/07/27 22:17:32 - mmengine - INFO - Epoch(train) [70][360/3757] lr: 6.7918e-03 eta: 1 day, 21:56:13 time: 0.3930 data_time: 0.0148 memory: 17007 grad_norm: 6.3738 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9751 loss: 1.9751 2022/07/27 22:17:40 - mmengine - INFO - Epoch(train) [70][380/3757] lr: 6.7918e-03 eta: 1 day, 21:56:05 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.4296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0298 loss: 2.0298 2022/07/27 22:17:49 - mmengine - INFO - Epoch(train) [70][400/3757] lr: 6.7918e-03 eta: 1 day, 21:55:58 time: 0.4244 data_time: 0.0163 memory: 17007 grad_norm: 6.2746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3947 loss: 2.3947 2022/07/27 22:17:57 - mmengine - INFO - Epoch(train) [70][420/3757] lr: 6.7918e-03 eta: 1 day, 21:55:50 time: 0.3927 data_time: 0.0135 memory: 17007 grad_norm: 6.3917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0573 loss: 2.0573 2022/07/27 22:18:05 - mmengine - INFO - Epoch(train) [70][440/3757] lr: 6.7918e-03 eta: 1 day, 21:55:42 time: 0.3995 data_time: 0.0171 memory: 17007 grad_norm: 6.2362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9166 loss: 1.9166 2022/07/27 22:18:12 - mmengine - INFO - Epoch(train) [70][460/3757] lr: 6.7918e-03 eta: 1 day, 21:55:34 time: 0.3923 data_time: 0.0143 memory: 17007 grad_norm: 6.3607 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1465 loss: 2.1465 2022/07/27 22:18:20 - mmengine - INFO - Epoch(train) [70][480/3757] lr: 6.7918e-03 eta: 1 day, 21:55:26 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.7513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9048 loss: 1.9048 2022/07/27 22:18:28 - mmengine - INFO - Epoch(train) [70][500/3757] lr: 6.7918e-03 eta: 1 day, 21:55:18 time: 0.3969 data_time: 0.0163 memory: 17007 grad_norm: 6.7827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3269 loss: 2.3269 2022/07/27 22:18:36 - mmengine - INFO - Epoch(train) [70][520/3757] lr: 6.7918e-03 eta: 1 day, 21:55:10 time: 0.3926 data_time: 0.0144 memory: 17007 grad_norm: 6.9569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2757 loss: 2.2757 2022/07/27 22:18:44 - mmengine - INFO - Epoch(train) [70][540/3757] lr: 6.7918e-03 eta: 1 day, 21:55:02 time: 0.3959 data_time: 0.0156 memory: 17007 grad_norm: 6.6979 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9867 loss: 1.9867 2022/07/27 22:18:52 - mmengine - INFO - Epoch(train) [70][560/3757] lr: 6.7918e-03 eta: 1 day, 21:54:54 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 6.6881 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1594 loss: 2.1594 2022/07/27 22:19:00 - mmengine - INFO - Epoch(train) [70][580/3757] lr: 6.7918e-03 eta: 1 day, 21:54:46 time: 0.3920 data_time: 0.0130 memory: 17007 grad_norm: 6.3820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1033 loss: 2.1033 2022/07/27 22:19:08 - mmengine - INFO - Epoch(train) [70][600/3757] lr: 6.7918e-03 eta: 1 day, 21:54:38 time: 0.4067 data_time: 0.0163 memory: 17007 grad_norm: 6.4177 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2686 loss: 2.2686 2022/07/27 22:19:16 - mmengine - INFO - Epoch(train) [70][620/3757] lr: 6.7918e-03 eta: 1 day, 21:54:30 time: 0.3910 data_time: 0.0139 memory: 17007 grad_norm: 6.6565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3770 loss: 2.3770 2022/07/27 22:19:24 - mmengine - INFO - Epoch(train) [70][640/3757] lr: 6.7918e-03 eta: 1 day, 21:54:22 time: 0.4031 data_time: 0.0166 memory: 17007 grad_norm: 6.5654 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6328 loss: 2.6328 2022/07/27 22:19:32 - mmengine - INFO - Epoch(train) [70][660/3757] lr: 6.7918e-03 eta: 1 day, 21:54:14 time: 0.3916 data_time: 0.0135 memory: 17007 grad_norm: 6.3171 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1150 loss: 2.1150 2022/07/27 22:19:42 - mmengine - INFO - Epoch(train) [70][680/3757] lr: 6.7918e-03 eta: 1 day, 21:54:10 time: 0.4998 data_time: 0.0153 memory: 17007 grad_norm: 6.3119 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3837 loss: 2.3837 2022/07/27 22:19:50 - mmengine - INFO - Epoch(train) [70][700/3757] lr: 6.7918e-03 eta: 1 day, 21:54:03 time: 0.4412 data_time: 0.0159 memory: 17007 grad_norm: 6.8385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1757 loss: 2.1757 2022/07/27 22:20:02 - mmengine - INFO - Epoch(train) [70][720/3757] lr: 6.7918e-03 eta: 1 day, 21:54:02 time: 0.5944 data_time: 0.0150 memory: 17007 grad_norm: 6.7527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4122 loss: 2.4122 2022/07/27 22:20:14 - mmengine - INFO - Epoch(train) [70][740/3757] lr: 6.7918e-03 eta: 1 day, 21:53:59 time: 0.5740 data_time: 0.0370 memory: 17007 grad_norm: 6.3919 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4116 loss: 2.4116 2022/07/27 22:20:22 - mmengine - INFO - Epoch(train) [70][760/3757] lr: 6.7918e-03 eta: 1 day, 21:53:52 time: 0.4028 data_time: 0.0146 memory: 17007 grad_norm: 6.8311 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2015 loss: 2.2015 2022/07/27 22:20:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:20:30 - mmengine - INFO - Epoch(train) [70][780/3757] lr: 6.7918e-03 eta: 1 day, 21:53:45 time: 0.4295 data_time: 0.0149 memory: 17007 grad_norm: 6.5103 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8131 loss: 1.8131 2022/07/27 22:20:38 - mmengine - INFO - Epoch(train) [70][800/3757] lr: 6.7918e-03 eta: 1 day, 21:53:37 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 6.6506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9406 loss: 1.9406 2022/07/27 22:20:46 - mmengine - INFO - Epoch(train) [70][820/3757] lr: 6.7918e-03 eta: 1 day, 21:53:29 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 6.8263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3948 loss: 2.3948 2022/07/27 22:20:54 - mmengine - INFO - Epoch(train) [70][840/3757] lr: 6.7918e-03 eta: 1 day, 21:53:21 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 6.7126 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0578 loss: 2.0578 2022/07/27 22:21:02 - mmengine - INFO - Epoch(train) [70][860/3757] lr: 6.7918e-03 eta: 1 day, 21:53:12 time: 0.3914 data_time: 0.0146 memory: 17007 grad_norm: 6.5158 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0841 loss: 2.0841 2022/07/27 22:21:10 - mmengine - INFO - Epoch(train) [70][880/3757] lr: 6.7918e-03 eta: 1 day, 21:53:04 time: 0.3966 data_time: 0.0183 memory: 17007 grad_norm: 6.6421 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2787 loss: 2.2787 2022/07/27 22:21:18 - mmengine - INFO - Epoch(train) [70][900/3757] lr: 6.7918e-03 eta: 1 day, 21:52:56 time: 0.3929 data_time: 0.0141 memory: 17007 grad_norm: 6.5703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9870 loss: 1.9870 2022/07/27 22:21:26 - mmengine - INFO - Epoch(train) [70][920/3757] lr: 6.7918e-03 eta: 1 day, 21:52:48 time: 0.3985 data_time: 0.0175 memory: 17007 grad_norm: 6.6904 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0455 loss: 2.0455 2022/07/27 22:21:34 - mmengine - INFO - Epoch(train) [70][940/3757] lr: 6.7918e-03 eta: 1 day, 21:52:40 time: 0.3922 data_time: 0.0141 memory: 17007 grad_norm: 6.5377 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8536 loss: 1.8536 2022/07/27 22:21:42 - mmengine - INFO - Epoch(train) [70][960/3757] lr: 6.7918e-03 eta: 1 day, 21:52:32 time: 0.3943 data_time: 0.0162 memory: 17007 grad_norm: 6.5779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1347 loss: 2.1347 2022/07/27 22:21:49 - mmengine - INFO - Epoch(train) [70][980/3757] lr: 6.7918e-03 eta: 1 day, 21:52:24 time: 0.3935 data_time: 0.0145 memory: 17007 grad_norm: 6.5441 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2637 loss: 2.2637 2022/07/27 22:21:57 - mmengine - INFO - Epoch(train) [70][1000/3757] lr: 6.7918e-03 eta: 1 day, 21:52:16 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 6.7333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5649 loss: 2.5649 2022/07/27 22:22:05 - mmengine - INFO - Epoch(train) [70][1020/3757] lr: 6.7918e-03 eta: 1 day, 21:52:09 time: 0.4035 data_time: 0.0162 memory: 17007 grad_norm: 6.5592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8667 loss: 1.8667 2022/07/27 22:22:13 - mmengine - INFO - Epoch(train) [70][1040/3757] lr: 6.7918e-03 eta: 1 day, 21:52:00 time: 0.3927 data_time: 0.0153 memory: 17007 grad_norm: 6.4909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0856 loss: 2.0856 2022/07/27 22:22:21 - mmengine - INFO - Epoch(train) [70][1060/3757] lr: 6.7918e-03 eta: 1 day, 21:51:52 time: 0.3912 data_time: 0.0142 memory: 17007 grad_norm: 6.3455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5466 loss: 1.5466 2022/07/27 22:22:29 - mmengine - INFO - Epoch(train) [70][1080/3757] lr: 6.7918e-03 eta: 1 day, 21:51:44 time: 0.3972 data_time: 0.0170 memory: 17007 grad_norm: 6.6229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2521 loss: 2.2521 2022/07/27 22:22:37 - mmengine - INFO - Epoch(train) [70][1100/3757] lr: 6.7918e-03 eta: 1 day, 21:51:36 time: 0.3927 data_time: 0.0124 memory: 17007 grad_norm: 6.6314 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2808 loss: 2.2808 2022/07/27 22:22:45 - mmengine - INFO - Epoch(train) [70][1120/3757] lr: 6.7918e-03 eta: 1 day, 21:51:28 time: 0.3957 data_time: 0.0180 memory: 17007 grad_norm: 6.7006 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0756 loss: 2.0756 2022/07/27 22:22:53 - mmengine - INFO - Epoch(train) [70][1140/3757] lr: 6.7918e-03 eta: 1 day, 21:51:20 time: 0.3923 data_time: 0.0123 memory: 17007 grad_norm: 6.8054 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3447 loss: 2.3447 2022/07/27 22:23:00 - mmengine - INFO - Epoch(train) [70][1160/3757] lr: 6.7918e-03 eta: 1 day, 21:51:12 time: 0.3928 data_time: 0.0163 memory: 17007 grad_norm: 6.4802 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0894 loss: 2.0894 2022/07/27 22:23:08 - mmengine - INFO - Epoch(train) [70][1180/3757] lr: 6.7918e-03 eta: 1 day, 21:51:04 time: 0.4002 data_time: 0.0144 memory: 17007 grad_norm: 6.7256 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4364 loss: 2.4364 2022/07/27 22:23:16 - mmengine - INFO - Epoch(train) [70][1200/3757] lr: 6.7918e-03 eta: 1 day, 21:50:56 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 6.6410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0314 loss: 2.0314 2022/07/27 22:23:24 - mmengine - INFO - Epoch(train) [70][1220/3757] lr: 6.7918e-03 eta: 1 day, 21:50:48 time: 0.3976 data_time: 0.0145 memory: 17007 grad_norm: 6.3744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0618 loss: 2.0618 2022/07/27 22:23:32 - mmengine - INFO - Epoch(train) [70][1240/3757] lr: 6.7918e-03 eta: 1 day, 21:50:40 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 6.6740 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.2354 loss: 2.2354 2022/07/27 22:23:40 - mmengine - INFO - Epoch(train) [70][1260/3757] lr: 6.7918e-03 eta: 1 day, 21:50:32 time: 0.3914 data_time: 0.0126 memory: 17007 grad_norm: 6.7499 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0029 loss: 2.0029 2022/07/27 22:23:48 - mmengine - INFO - Epoch(train) [70][1280/3757] lr: 6.7918e-03 eta: 1 day, 21:50:24 time: 0.3959 data_time: 0.0168 memory: 17007 grad_norm: 6.6956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3059 loss: 2.3059 2022/07/27 22:23:56 - mmengine - INFO - Epoch(train) [70][1300/3757] lr: 6.7918e-03 eta: 1 day, 21:50:16 time: 0.3926 data_time: 0.0131 memory: 17007 grad_norm: 6.7124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0544 loss: 2.0544 2022/07/27 22:24:04 - mmengine - INFO - Epoch(train) [70][1320/3757] lr: 6.7918e-03 eta: 1 day, 21:50:08 time: 0.4032 data_time: 0.0170 memory: 17007 grad_norm: 6.4327 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2885 loss: 2.2885 2022/07/27 22:24:12 - mmengine - INFO - Epoch(train) [70][1340/3757] lr: 6.7918e-03 eta: 1 day, 21:50:00 time: 0.3919 data_time: 0.0121 memory: 17007 grad_norm: 6.4250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2032 loss: 2.2032 2022/07/27 22:24:20 - mmengine - INFO - Epoch(train) [70][1360/3757] lr: 6.7918e-03 eta: 1 day, 21:49:52 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 6.6603 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4534 loss: 2.4534 2022/07/27 22:24:28 - mmengine - INFO - Epoch(train) [70][1380/3757] lr: 6.7918e-03 eta: 1 day, 21:49:44 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 6.6867 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2497 loss: 2.2497 2022/07/27 22:24:35 - mmengine - INFO - Epoch(train) [70][1400/3757] lr: 6.7918e-03 eta: 1 day, 21:49:36 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 6.6450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1042 loss: 2.1042 2022/07/27 22:24:43 - mmengine - INFO - Epoch(train) [70][1420/3757] lr: 6.7918e-03 eta: 1 day, 21:49:28 time: 0.3955 data_time: 0.0137 memory: 17007 grad_norm: 6.5227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2320 loss: 2.2320 2022/07/27 22:24:51 - mmengine - INFO - Epoch(train) [70][1440/3757] lr: 6.7918e-03 eta: 1 day, 21:49:20 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 6.6171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1950 loss: 2.1950 2022/07/27 22:24:59 - mmengine - INFO - Epoch(train) [70][1460/3757] lr: 6.7918e-03 eta: 1 day, 21:49:12 time: 0.3957 data_time: 0.0131 memory: 17007 grad_norm: 6.6902 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7835 loss: 1.7835 2022/07/27 22:25:07 - mmengine - INFO - Epoch(train) [70][1480/3757] lr: 6.7918e-03 eta: 1 day, 21:49:04 time: 0.3983 data_time: 0.0182 memory: 17007 grad_norm: 6.8249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8736 loss: 1.8736 2022/07/27 22:25:15 - mmengine - INFO - Epoch(train) [70][1500/3757] lr: 6.7918e-03 eta: 1 day, 21:48:57 time: 0.3982 data_time: 0.0146 memory: 17007 grad_norm: 6.5986 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3370 loss: 2.3370 2022/07/27 22:25:23 - mmengine - INFO - Epoch(train) [70][1520/3757] lr: 6.7918e-03 eta: 1 day, 21:48:49 time: 0.3962 data_time: 0.0169 memory: 17007 grad_norm: 6.4634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1681 loss: 2.1681 2022/07/27 22:25:31 - mmengine - INFO - Epoch(train) [70][1540/3757] lr: 6.7918e-03 eta: 1 day, 21:48:40 time: 0.3923 data_time: 0.0142 memory: 17007 grad_norm: 6.5493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2851 loss: 2.2851 2022/07/27 22:25:39 - mmengine - INFO - Epoch(train) [70][1560/3757] lr: 6.7918e-03 eta: 1 day, 21:48:33 time: 0.3985 data_time: 0.0157 memory: 17007 grad_norm: 6.5756 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2747 loss: 2.2747 2022/07/27 22:25:47 - mmengine - INFO - Epoch(train) [70][1580/3757] lr: 6.7918e-03 eta: 1 day, 21:48:25 time: 0.3941 data_time: 0.0142 memory: 17007 grad_norm: 6.4565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9922 loss: 1.9922 2022/07/27 22:25:55 - mmengine - INFO - Epoch(train) [70][1600/3757] lr: 6.7918e-03 eta: 1 day, 21:48:17 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 6.5586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9894 loss: 1.9894 2022/07/27 22:26:03 - mmengine - INFO - Epoch(train) [70][1620/3757] lr: 6.7918e-03 eta: 1 day, 21:48:08 time: 0.3944 data_time: 0.0124 memory: 17007 grad_norm: 6.5546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0008 loss: 2.0008 2022/07/27 22:26:10 - mmengine - INFO - Epoch(train) [70][1640/3757] lr: 6.7918e-03 eta: 1 day, 21:48:00 time: 0.3947 data_time: 0.0172 memory: 17007 grad_norm: 6.7564 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0162 loss: 2.0162 2022/07/27 22:26:18 - mmengine - INFO - Epoch(train) [70][1660/3757] lr: 6.7918e-03 eta: 1 day, 21:47:52 time: 0.3933 data_time: 0.0131 memory: 17007 grad_norm: 6.5910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0473 loss: 2.0473 2022/07/27 22:26:26 - mmengine - INFO - Epoch(train) [70][1680/3757] lr: 6.7918e-03 eta: 1 day, 21:47:45 time: 0.4003 data_time: 0.0174 memory: 17007 grad_norm: 6.4877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8358 loss: 1.8358 2022/07/27 22:26:34 - mmengine - INFO - Epoch(train) [70][1700/3757] lr: 6.7918e-03 eta: 1 day, 21:47:37 time: 0.3938 data_time: 0.0129 memory: 17007 grad_norm: 6.4847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2387 loss: 2.2387 2022/07/27 22:26:42 - mmengine - INFO - Epoch(train) [70][1720/3757] lr: 6.7918e-03 eta: 1 day, 21:47:28 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 6.8921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1417 loss: 2.1417 2022/07/27 22:26:50 - mmengine - INFO - Epoch(train) [70][1740/3757] lr: 6.7918e-03 eta: 1 day, 21:47:21 time: 0.3968 data_time: 0.0161 memory: 17007 grad_norm: 6.4232 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4347 loss: 2.4347 2022/07/27 22:26:58 - mmengine - INFO - Epoch(train) [70][1760/3757] lr: 6.7918e-03 eta: 1 day, 21:47:13 time: 0.3967 data_time: 0.0161 memory: 17007 grad_norm: 6.5042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1866 loss: 2.1866 2022/07/27 22:27:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:27:06 - mmengine - INFO - Epoch(train) [70][1780/3757] lr: 6.7918e-03 eta: 1 day, 21:47:05 time: 0.3996 data_time: 0.0173 memory: 17007 grad_norm: 6.5896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1024 loss: 2.1024 2022/07/27 22:27:14 - mmengine - INFO - Epoch(train) [70][1800/3757] lr: 6.7918e-03 eta: 1 day, 21:46:57 time: 0.3946 data_time: 0.0162 memory: 17007 grad_norm: 6.7974 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3057 loss: 2.3057 2022/07/27 22:27:22 - mmengine - INFO - Epoch(train) [70][1820/3757] lr: 6.7918e-03 eta: 1 day, 21:46:49 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 6.7365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0398 loss: 2.0398 2022/07/27 22:27:30 - mmengine - INFO - Epoch(train) [70][1840/3757] lr: 6.7918e-03 eta: 1 day, 21:46:41 time: 0.3951 data_time: 0.0164 memory: 17007 grad_norm: 6.7754 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2273 loss: 2.2273 2022/07/27 22:27:38 - mmengine - INFO - Epoch(train) [70][1860/3757] lr: 6.7918e-03 eta: 1 day, 21:46:33 time: 0.3919 data_time: 0.0123 memory: 17007 grad_norm: 6.6165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1080 loss: 2.1080 2022/07/27 22:27:45 - mmengine - INFO - Epoch(train) [70][1880/3757] lr: 6.7918e-03 eta: 1 day, 21:46:25 time: 0.3981 data_time: 0.0176 memory: 17007 grad_norm: 6.6282 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1327 loss: 2.1327 2022/07/27 22:27:54 - mmengine - INFO - Epoch(train) [70][1900/3757] lr: 6.7918e-03 eta: 1 day, 21:46:17 time: 0.4007 data_time: 0.0149 memory: 17007 grad_norm: 6.7211 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2319 loss: 2.2319 2022/07/27 22:28:01 - mmengine - INFO - Epoch(train) [70][1920/3757] lr: 6.7918e-03 eta: 1 day, 21:46:09 time: 0.3922 data_time: 0.0147 memory: 17007 grad_norm: 6.5749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0731 loss: 2.0731 2022/07/27 22:28:10 - mmengine - INFO - Epoch(train) [70][1940/3757] lr: 6.7918e-03 eta: 1 day, 21:46:01 time: 0.4070 data_time: 0.0158 memory: 17007 grad_norm: 6.5159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1197 loss: 2.1197 2022/07/27 22:28:17 - mmengine - INFO - Epoch(train) [70][1960/3757] lr: 6.7918e-03 eta: 1 day, 21:45:53 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 6.7337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2991 loss: 2.2991 2022/07/27 22:28:25 - mmengine - INFO - Epoch(train) [70][1980/3757] lr: 6.7918e-03 eta: 1 day, 21:45:45 time: 0.3945 data_time: 0.0146 memory: 17007 grad_norm: 6.6759 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1007 loss: 2.1007 2022/07/27 22:28:33 - mmengine - INFO - Epoch(train) [70][2000/3757] lr: 6.7918e-03 eta: 1 day, 21:45:37 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 6.7022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9866 loss: 1.9866 2022/07/27 22:28:41 - mmengine - INFO - Epoch(train) [70][2020/3757] lr: 6.7918e-03 eta: 1 day, 21:45:29 time: 0.3923 data_time: 0.0139 memory: 17007 grad_norm: 6.7529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1513 loss: 2.1513 2022/07/27 22:28:49 - mmengine - INFO - Epoch(train) [70][2040/3757] lr: 6.7918e-03 eta: 1 day, 21:45:21 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 6.8129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1501 loss: 2.1501 2022/07/27 22:28:57 - mmengine - INFO - Epoch(train) [70][2060/3757] lr: 6.7918e-03 eta: 1 day, 21:45:13 time: 0.3962 data_time: 0.0176 memory: 17007 grad_norm: 6.9501 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9541 loss: 1.9541 2022/07/27 22:29:05 - mmengine - INFO - Epoch(train) [70][2080/3757] lr: 6.7918e-03 eta: 1 day, 21:45:05 time: 0.3967 data_time: 0.0155 memory: 17007 grad_norm: 6.7824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4290 loss: 2.4290 2022/07/27 22:29:13 - mmengine - INFO - Epoch(train) [70][2100/3757] lr: 6.7918e-03 eta: 1 day, 21:44:57 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 6.4470 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9823 loss: 1.9823 2022/07/27 22:29:21 - mmengine - INFO - Epoch(train) [70][2120/3757] lr: 6.7918e-03 eta: 1 day, 21:44:49 time: 0.3971 data_time: 0.0163 memory: 17007 grad_norm: 6.6998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6178 loss: 2.6178 2022/07/27 22:29:29 - mmengine - INFO - Epoch(train) [70][2140/3757] lr: 6.7918e-03 eta: 1 day, 21:44:41 time: 0.3926 data_time: 0.0122 memory: 17007 grad_norm: 6.7703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1692 loss: 2.1692 2022/07/27 22:29:37 - mmengine - INFO - Epoch(train) [70][2160/3757] lr: 6.7918e-03 eta: 1 day, 21:44:33 time: 0.3978 data_time: 0.0173 memory: 17007 grad_norm: 6.7353 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0823 loss: 2.0823 2022/07/27 22:29:44 - mmengine - INFO - Epoch(train) [70][2180/3757] lr: 6.7918e-03 eta: 1 day, 21:44:25 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 6.6733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9043 loss: 1.9043 2022/07/27 22:29:52 - mmengine - INFO - Epoch(train) [70][2200/3757] lr: 6.7918e-03 eta: 1 day, 21:44:17 time: 0.3951 data_time: 0.0161 memory: 17007 grad_norm: 6.7613 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1554 loss: 2.1554 2022/07/27 22:30:00 - mmengine - INFO - Epoch(train) [70][2220/3757] lr: 6.7918e-03 eta: 1 day, 21:44:09 time: 0.3929 data_time: 0.0127 memory: 17007 grad_norm: 6.4485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1578 loss: 2.1578 2022/07/27 22:30:08 - mmengine - INFO - Epoch(train) [70][2240/3757] lr: 6.7918e-03 eta: 1 day, 21:44:01 time: 0.4013 data_time: 0.0174 memory: 17007 grad_norm: 6.9930 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5097 loss: 2.5097 2022/07/27 22:30:16 - mmengine - INFO - Epoch(train) [70][2260/3757] lr: 6.7918e-03 eta: 1 day, 21:43:53 time: 0.3943 data_time: 0.0134 memory: 17007 grad_norm: 6.4948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2090 loss: 2.2090 2022/07/27 22:30:24 - mmengine - INFO - Epoch(train) [70][2280/3757] lr: 6.7918e-03 eta: 1 day, 21:43:46 time: 0.4050 data_time: 0.0161 memory: 17007 grad_norm: 6.5802 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0707 loss: 2.0707 2022/07/27 22:30:32 - mmengine - INFO - Epoch(train) [70][2300/3757] lr: 6.7918e-03 eta: 1 day, 21:43:37 time: 0.3924 data_time: 0.0131 memory: 17007 grad_norm: 6.5364 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1238 loss: 2.1238 2022/07/27 22:30:40 - mmengine - INFO - Epoch(train) [70][2320/3757] lr: 6.7918e-03 eta: 1 day, 21:43:29 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 6.6105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1639 loss: 2.1639 2022/07/27 22:30:48 - mmengine - INFO - Epoch(train) [70][2340/3757] lr: 6.7918e-03 eta: 1 day, 21:43:22 time: 0.3983 data_time: 0.0145 memory: 17007 grad_norm: 6.4777 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2749 loss: 2.2749 2022/07/27 22:30:56 - mmengine - INFO - Epoch(train) [70][2360/3757] lr: 6.7918e-03 eta: 1 day, 21:43:14 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 6.4727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1992 loss: 2.1992 2022/07/27 22:31:04 - mmengine - INFO - Epoch(train) [70][2380/3757] lr: 6.7918e-03 eta: 1 day, 21:43:06 time: 0.3953 data_time: 0.0168 memory: 17007 grad_norm: 6.5297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5369 loss: 2.5369 2022/07/27 22:31:12 - mmengine - INFO - Epoch(train) [70][2400/3757] lr: 6.7918e-03 eta: 1 day, 21:42:57 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 6.4071 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0395 loss: 2.0395 2022/07/27 22:31:19 - mmengine - INFO - Epoch(train) [70][2420/3757] lr: 6.7918e-03 eta: 1 day, 21:42:49 time: 0.3918 data_time: 0.0122 memory: 17007 grad_norm: 6.2043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0797 loss: 2.0797 2022/07/27 22:31:27 - mmengine - INFO - Epoch(train) [70][2440/3757] lr: 6.7918e-03 eta: 1 day, 21:42:41 time: 0.3956 data_time: 0.0163 memory: 17007 grad_norm: 6.7791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4174 loss: 2.4174 2022/07/27 22:31:35 - mmengine - INFO - Epoch(train) [70][2460/3757] lr: 6.7918e-03 eta: 1 day, 21:42:33 time: 0.3917 data_time: 0.0124 memory: 17007 grad_norm: 6.6145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3999 loss: 2.3999 2022/07/27 22:31:43 - mmengine - INFO - Epoch(train) [70][2480/3757] lr: 6.7918e-03 eta: 1 day, 21:42:25 time: 0.3966 data_time: 0.0151 memory: 17007 grad_norm: 6.6229 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0155 loss: 2.0155 2022/07/27 22:31:51 - mmengine - INFO - Epoch(train) [70][2500/3757] lr: 6.7918e-03 eta: 1 day, 21:42:17 time: 0.3943 data_time: 0.0138 memory: 17007 grad_norm: 6.5895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3800 loss: 2.3800 2022/07/27 22:31:59 - mmengine - INFO - Epoch(train) [70][2520/3757] lr: 6.7918e-03 eta: 1 day, 21:42:09 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 6.7975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1311 loss: 2.1311 2022/07/27 22:32:07 - mmengine - INFO - Epoch(train) [70][2540/3757] lr: 6.7918e-03 eta: 1 day, 21:42:02 time: 0.4049 data_time: 0.0140 memory: 17007 grad_norm: 6.5374 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3413 loss: 2.3413 2022/07/27 22:32:15 - mmengine - INFO - Epoch(train) [70][2560/3757] lr: 6.7918e-03 eta: 1 day, 21:41:54 time: 0.4065 data_time: 0.0151 memory: 17007 grad_norm: 6.6219 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0025 loss: 2.0025 2022/07/27 22:32:23 - mmengine - INFO - Epoch(train) [70][2580/3757] lr: 6.7918e-03 eta: 1 day, 21:41:46 time: 0.3922 data_time: 0.0137 memory: 17007 grad_norm: 6.8088 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0867 loss: 2.0867 2022/07/27 22:32:31 - mmengine - INFO - Epoch(train) [70][2600/3757] lr: 6.7918e-03 eta: 1 day, 21:41:38 time: 0.3963 data_time: 0.0163 memory: 17007 grad_norm: 6.8438 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1019 loss: 2.1019 2022/07/27 22:32:39 - mmengine - INFO - Epoch(train) [70][2620/3757] lr: 6.7918e-03 eta: 1 day, 21:41:30 time: 0.3933 data_time: 0.0144 memory: 17007 grad_norm: 6.6584 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0785 loss: 2.0785 2022/07/27 22:32:47 - mmengine - INFO - Epoch(train) [70][2640/3757] lr: 6.7918e-03 eta: 1 day, 21:41:22 time: 0.3964 data_time: 0.0170 memory: 17007 grad_norm: 6.4327 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0651 loss: 2.0651 2022/07/27 22:32:55 - mmengine - INFO - Epoch(train) [70][2660/3757] lr: 6.7918e-03 eta: 1 day, 21:41:14 time: 0.3953 data_time: 0.0131 memory: 17007 grad_norm: 6.4690 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0289 loss: 2.0289 2022/07/27 22:33:03 - mmengine - INFO - Epoch(train) [70][2680/3757] lr: 6.7918e-03 eta: 1 day, 21:41:06 time: 0.3927 data_time: 0.0154 memory: 17007 grad_norm: 6.7097 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0146 loss: 2.0146 2022/07/27 22:33:11 - mmengine - INFO - Epoch(train) [70][2700/3757] lr: 6.7918e-03 eta: 1 day, 21:40:58 time: 0.4003 data_time: 0.0150 memory: 17007 grad_norm: 6.4787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2738 loss: 2.2738 2022/07/27 22:33:19 - mmengine - INFO - Epoch(train) [70][2720/3757] lr: 6.7918e-03 eta: 1 day, 21:40:50 time: 0.3997 data_time: 0.0158 memory: 17007 grad_norm: 6.4549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0842 loss: 2.0842 2022/07/27 22:33:26 - mmengine - INFO - Epoch(train) [70][2740/3757] lr: 6.7918e-03 eta: 1 day, 21:40:42 time: 0.3961 data_time: 0.0142 memory: 17007 grad_norm: 6.6926 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3421 loss: 2.3421 2022/07/27 22:33:34 - mmengine - INFO - Epoch(train) [70][2760/3757] lr: 6.7918e-03 eta: 1 day, 21:40:34 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 7.0719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1364 loss: 2.1364 2022/07/27 22:33:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:33:42 - mmengine - INFO - Epoch(train) [70][2780/3757] lr: 6.7918e-03 eta: 1 day, 21:40:26 time: 0.3912 data_time: 0.0132 memory: 17007 grad_norm: 6.8351 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3718 loss: 2.3718 2022/07/27 22:33:50 - mmengine - INFO - Epoch(train) [70][2800/3757] lr: 6.7918e-03 eta: 1 day, 21:40:18 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 6.5764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9025 loss: 1.9025 2022/07/27 22:33:58 - mmengine - INFO - Epoch(train) [70][2820/3757] lr: 6.7918e-03 eta: 1 day, 21:40:10 time: 0.3917 data_time: 0.0136 memory: 17007 grad_norm: 6.3129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1840 loss: 2.1840 2022/07/27 22:34:06 - mmengine - INFO - Epoch(train) [70][2840/3757] lr: 6.7918e-03 eta: 1 day, 21:40:02 time: 0.4026 data_time: 0.0158 memory: 17007 grad_norm: 6.8724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0534 loss: 2.0534 2022/07/27 22:34:14 - mmengine - INFO - Epoch(train) [70][2860/3757] lr: 6.7918e-03 eta: 1 day, 21:39:55 time: 0.4034 data_time: 0.0132 memory: 17007 grad_norm: 6.7501 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4360 loss: 2.4360 2022/07/27 22:34:22 - mmengine - INFO - Epoch(train) [70][2880/3757] lr: 6.7918e-03 eta: 1 day, 21:39:46 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 6.7516 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0455 loss: 2.0455 2022/07/27 22:34:30 - mmengine - INFO - Epoch(train) [70][2900/3757] lr: 6.7918e-03 eta: 1 day, 21:39:39 time: 0.4039 data_time: 0.0135 memory: 17007 grad_norm: 6.6778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3119 loss: 2.3119 2022/07/27 22:34:38 - mmengine - INFO - Epoch(train) [70][2920/3757] lr: 6.7918e-03 eta: 1 day, 21:39:31 time: 0.3947 data_time: 0.0161 memory: 17007 grad_norm: 6.6452 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2867 loss: 2.2867 2022/07/27 22:34:46 - mmengine - INFO - Epoch(train) [70][2940/3757] lr: 6.7918e-03 eta: 1 day, 21:39:23 time: 0.3978 data_time: 0.0140 memory: 17007 grad_norm: 6.5426 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0883 loss: 2.0883 2022/07/27 22:34:54 - mmengine - INFO - Epoch(train) [70][2960/3757] lr: 6.7918e-03 eta: 1 day, 21:39:15 time: 0.3973 data_time: 0.0175 memory: 17007 grad_norm: 6.7561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8491 loss: 1.8491 2022/07/27 22:35:02 - mmengine - INFO - Epoch(train) [70][2980/3757] lr: 6.7918e-03 eta: 1 day, 21:39:07 time: 0.3916 data_time: 0.0128 memory: 17007 grad_norm: 6.5276 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2949 loss: 2.2949 2022/07/27 22:35:10 - mmengine - INFO - Epoch(train) [70][3000/3757] lr: 6.7918e-03 eta: 1 day, 21:38:59 time: 0.3960 data_time: 0.0174 memory: 17007 grad_norm: 6.6441 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4382 loss: 2.4382 2022/07/27 22:35:18 - mmengine - INFO - Epoch(train) [70][3020/3757] lr: 6.7918e-03 eta: 1 day, 21:38:51 time: 0.4002 data_time: 0.0137 memory: 17007 grad_norm: 6.5787 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0460 loss: 2.0460 2022/07/27 22:35:26 - mmengine - INFO - Epoch(train) [70][3040/3757] lr: 6.7918e-03 eta: 1 day, 21:38:43 time: 0.3962 data_time: 0.0176 memory: 17007 grad_norm: 6.5974 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2630 loss: 2.2630 2022/07/27 22:35:34 - mmengine - INFO - Epoch(train) [70][3060/3757] lr: 6.7918e-03 eta: 1 day, 21:38:35 time: 0.3940 data_time: 0.0127 memory: 17007 grad_norm: 6.8886 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3851 loss: 2.3851 2022/07/27 22:35:41 - mmengine - INFO - Epoch(train) [70][3080/3757] lr: 6.7918e-03 eta: 1 day, 21:38:27 time: 0.3953 data_time: 0.0153 memory: 17007 grad_norm: 6.5013 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1988 loss: 2.1988 2022/07/27 22:35:49 - mmengine - INFO - Epoch(train) [70][3100/3757] lr: 6.7918e-03 eta: 1 day, 21:38:19 time: 0.3921 data_time: 0.0137 memory: 17007 grad_norm: 6.8487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2202 loss: 2.2202 2022/07/27 22:35:57 - mmengine - INFO - Epoch(train) [70][3120/3757] lr: 6.7918e-03 eta: 1 day, 21:38:11 time: 0.4058 data_time: 0.0158 memory: 17007 grad_norm: 6.5303 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2330 loss: 2.2330 2022/07/27 22:36:05 - mmengine - INFO - Epoch(train) [70][3140/3757] lr: 6.7918e-03 eta: 1 day, 21:38:03 time: 0.3990 data_time: 0.0152 memory: 17007 grad_norm: 6.6587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9562 loss: 1.9562 2022/07/27 22:36:13 - mmengine - INFO - Epoch(train) [70][3160/3757] lr: 6.7918e-03 eta: 1 day, 21:37:55 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.7383 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2308 loss: 2.2308 2022/07/27 22:36:21 - mmengine - INFO - Epoch(train) [70][3180/3757] lr: 6.7918e-03 eta: 1 day, 21:37:47 time: 0.3933 data_time: 0.0136 memory: 17007 grad_norm: 6.5546 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0753 loss: 2.0753 2022/07/27 22:36:29 - mmengine - INFO - Epoch(train) [70][3200/3757] lr: 6.7918e-03 eta: 1 day, 21:37:40 time: 0.4068 data_time: 0.0171 memory: 17007 grad_norm: 6.8527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8165 loss: 1.8165 2022/07/27 22:36:37 - mmengine - INFO - Epoch(train) [70][3220/3757] lr: 6.7918e-03 eta: 1 day, 21:37:32 time: 0.3932 data_time: 0.0124 memory: 17007 grad_norm: 6.8153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8728 loss: 1.8728 2022/07/27 22:36:45 - mmengine - INFO - Epoch(train) [70][3240/3757] lr: 6.7918e-03 eta: 1 day, 21:37:24 time: 0.3966 data_time: 0.0171 memory: 17007 grad_norm: 6.7915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4181 loss: 2.4181 2022/07/27 22:36:53 - mmengine - INFO - Epoch(train) [70][3260/3757] lr: 6.7918e-03 eta: 1 day, 21:37:16 time: 0.3922 data_time: 0.0133 memory: 17007 grad_norm: 6.9898 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1027 loss: 2.1027 2022/07/27 22:37:01 - mmengine - INFO - Epoch(train) [70][3280/3757] lr: 6.7918e-03 eta: 1 day, 21:37:08 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 6.5838 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2313 loss: 2.2313 2022/07/27 22:37:09 - mmengine - INFO - Epoch(train) [70][3300/3757] lr: 6.7918e-03 eta: 1 day, 21:37:00 time: 0.3983 data_time: 0.0149 memory: 17007 grad_norm: 6.8237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0178 loss: 2.0178 2022/07/27 22:37:17 - mmengine - INFO - Epoch(train) [70][3320/3757] lr: 6.7918e-03 eta: 1 day, 21:36:52 time: 0.3945 data_time: 0.0163 memory: 17007 grad_norm: 6.6690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1579 loss: 2.1579 2022/07/27 22:37:25 - mmengine - INFO - Epoch(train) [70][3340/3757] lr: 6.7918e-03 eta: 1 day, 21:36:44 time: 0.3960 data_time: 0.0134 memory: 17007 grad_norm: 6.6411 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2552 loss: 2.2552 2022/07/27 22:37:33 - mmengine - INFO - Epoch(train) [70][3360/3757] lr: 6.7918e-03 eta: 1 day, 21:36:36 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 8.6214 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4300 loss: 2.4300 2022/07/27 22:37:40 - mmengine - INFO - Epoch(train) [70][3380/3757] lr: 6.7918e-03 eta: 1 day, 21:36:28 time: 0.3934 data_time: 0.0135 memory: 17007 grad_norm: 6.9437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2611 loss: 2.2611 2022/07/27 22:37:49 - mmengine - INFO - Epoch(train) [70][3400/3757] lr: 6.7918e-03 eta: 1 day, 21:36:20 time: 0.4034 data_time: 0.0181 memory: 17007 grad_norm: 6.6379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2982 loss: 2.2982 2022/07/27 22:37:56 - mmengine - INFO - Epoch(train) [70][3420/3757] lr: 6.7918e-03 eta: 1 day, 21:36:12 time: 0.3934 data_time: 0.0131 memory: 17007 grad_norm: 6.8358 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2792 loss: 2.2792 2022/07/27 22:38:04 - mmengine - INFO - Epoch(train) [70][3440/3757] lr: 6.7918e-03 eta: 1 day, 21:36:04 time: 0.3979 data_time: 0.0172 memory: 17007 grad_norm: 6.5814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0638 loss: 2.0638 2022/07/27 22:38:12 - mmengine - INFO - Epoch(train) [70][3460/3757] lr: 6.7918e-03 eta: 1 day, 21:35:56 time: 0.3919 data_time: 0.0123 memory: 17007 grad_norm: 6.6439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1839 loss: 2.1839 2022/07/27 22:38:20 - mmengine - INFO - Epoch(train) [70][3480/3757] lr: 6.7918e-03 eta: 1 day, 21:35:48 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.4311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2180 loss: 2.2180 2022/07/27 22:38:28 - mmengine - INFO - Epoch(train) [70][3500/3757] lr: 6.7918e-03 eta: 1 day, 21:35:40 time: 0.3954 data_time: 0.0135 memory: 17007 grad_norm: 6.8617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2591 loss: 2.2591 2022/07/27 22:38:36 - mmengine - INFO - Epoch(train) [70][3520/3757] lr: 6.7918e-03 eta: 1 day, 21:35:32 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 6.7662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2403 loss: 2.2403 2022/07/27 22:38:44 - mmengine - INFO - Epoch(train) [70][3540/3757] lr: 6.7918e-03 eta: 1 day, 21:35:24 time: 0.3930 data_time: 0.0146 memory: 17007 grad_norm: 6.4389 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0108 loss: 2.0108 2022/07/27 22:38:52 - mmengine - INFO - Epoch(train) [70][3560/3757] lr: 6.7918e-03 eta: 1 day, 21:35:16 time: 0.3955 data_time: 0.0152 memory: 17007 grad_norm: 6.6094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3538 loss: 2.3538 2022/07/27 22:39:00 - mmengine - INFO - Epoch(train) [70][3580/3757] lr: 6.7918e-03 eta: 1 day, 21:35:08 time: 0.3958 data_time: 0.0135 memory: 17007 grad_norm: 6.7063 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1302 loss: 2.1302 2022/07/27 22:39:08 - mmengine - INFO - Epoch(train) [70][3600/3757] lr: 6.7918e-03 eta: 1 day, 21:35:00 time: 0.3946 data_time: 0.0159 memory: 17007 grad_norm: 6.5793 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2245 loss: 2.2245 2022/07/27 22:39:15 - mmengine - INFO - Epoch(train) [70][3620/3757] lr: 6.7918e-03 eta: 1 day, 21:34:52 time: 0.3969 data_time: 0.0153 memory: 17007 grad_norm: 6.6887 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4636 loss: 2.4636 2022/07/27 22:39:23 - mmengine - INFO - Epoch(train) [70][3640/3757] lr: 6.7918e-03 eta: 1 day, 21:34:44 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 6.5889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1917 loss: 2.1917 2022/07/27 22:39:31 - mmengine - INFO - Epoch(train) [70][3660/3757] lr: 6.7918e-03 eta: 1 day, 21:34:36 time: 0.3951 data_time: 0.0143 memory: 17007 grad_norm: 6.7728 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2116 loss: 2.2116 2022/07/27 22:39:39 - mmengine - INFO - Epoch(train) [70][3680/3757] lr: 6.7918e-03 eta: 1 day, 21:34:28 time: 0.3944 data_time: 0.0171 memory: 17007 grad_norm: 6.8654 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2800 loss: 2.2800 2022/07/27 22:39:47 - mmengine - INFO - Epoch(train) [70][3700/3757] lr: 6.7918e-03 eta: 1 day, 21:34:20 time: 0.3973 data_time: 0.0140 memory: 17007 grad_norm: 6.6750 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2221 loss: 2.2221 2022/07/27 22:39:55 - mmengine - INFO - Epoch(train) [70][3720/3757] lr: 6.7918e-03 eta: 1 day, 21:34:12 time: 0.3954 data_time: 0.0166 memory: 17007 grad_norm: 6.4520 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.2954 loss: 2.2954 2022/07/27 22:40:03 - mmengine - INFO - Epoch(train) [70][3740/3757] lr: 6.7918e-03 eta: 1 day, 21:34:04 time: 0.3904 data_time: 0.0136 memory: 17007 grad_norm: 6.4337 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0456 loss: 2.0456 2022/07/27 22:40:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:40:10 - mmengine - INFO - Epoch(train) [70][3757/3757] lr: 6.7918e-03 eta: 1 day, 21:34:04 time: 0.3963 data_time: 0.0202 memory: 17007 grad_norm: 6.3542 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.1389 loss: 2.1389 2022/07/27 22:40:10 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/07/27 22:40:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:40:21 - mmengine - INFO - Epoch(train) [71][20/3757] lr: 6.7101e-03 eta: 1 day, 21:33:42 time: 0.4974 data_time: 0.1165 memory: 17007 grad_norm: 6.7570 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4155 loss: 2.4155 2022/07/27 22:40:29 - mmengine - INFO - Epoch(train) [71][40/3757] lr: 6.7101e-03 eta: 1 day, 21:33:34 time: 0.3969 data_time: 0.0165 memory: 17007 grad_norm: 6.5112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3545 loss: 2.3545 2022/07/27 22:40:37 - mmengine - INFO - Epoch(train) [71][60/3757] lr: 6.7101e-03 eta: 1 day, 21:33:26 time: 0.3916 data_time: 0.0141 memory: 17007 grad_norm: 6.5534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9743 loss: 1.9743 2022/07/27 22:40:45 - mmengine - INFO - Epoch(train) [71][80/3757] lr: 6.7101e-03 eta: 1 day, 21:33:18 time: 0.4034 data_time: 0.0168 memory: 17007 grad_norm: 6.5641 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2394 loss: 2.2394 2022/07/27 22:40:53 - mmengine - INFO - Epoch(train) [71][100/3757] lr: 6.7101e-03 eta: 1 day, 21:33:10 time: 0.3916 data_time: 0.0129 memory: 17007 grad_norm: 6.3968 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1212 loss: 2.1212 2022/07/27 22:41:01 - mmengine - INFO - Epoch(train) [71][120/3757] lr: 6.7101e-03 eta: 1 day, 21:33:02 time: 0.3949 data_time: 0.0162 memory: 17007 grad_norm: 6.8442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1155 loss: 2.1155 2022/07/27 22:41:09 - mmengine - INFO - Epoch(train) [71][140/3757] lr: 6.7101e-03 eta: 1 day, 21:32:54 time: 0.4053 data_time: 0.0137 memory: 17007 grad_norm: 6.5517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0087 loss: 2.0087 2022/07/27 22:41:17 - mmengine - INFO - Epoch(train) [71][160/3757] lr: 6.7101e-03 eta: 1 day, 21:32:46 time: 0.3966 data_time: 0.0173 memory: 17007 grad_norm: 6.3297 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.9306 loss: 1.9306 2022/07/27 22:41:25 - mmengine - INFO - Epoch(train) [71][180/3757] lr: 6.7101e-03 eta: 1 day, 21:32:38 time: 0.3960 data_time: 0.0136 memory: 17007 grad_norm: 6.7133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0756 loss: 2.0756 2022/07/27 22:41:33 - mmengine - INFO - Epoch(train) [71][200/3757] lr: 6.7101e-03 eta: 1 day, 21:32:30 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 6.6537 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3228 loss: 2.3228 2022/07/27 22:41:41 - mmengine - INFO - Epoch(train) [71][220/3757] lr: 6.7101e-03 eta: 1 day, 21:32:22 time: 0.4006 data_time: 0.0137 memory: 17007 grad_norm: 6.6292 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2300 loss: 2.2300 2022/07/27 22:41:49 - mmengine - INFO - Epoch(train) [71][240/3757] lr: 6.7101e-03 eta: 1 day, 21:32:14 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 6.6421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0598 loss: 2.0598 2022/07/27 22:41:57 - mmengine - INFO - Epoch(train) [71][260/3757] lr: 6.7101e-03 eta: 1 day, 21:32:06 time: 0.3948 data_time: 0.0137 memory: 17007 grad_norm: 6.6414 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2033 loss: 2.2033 2022/07/27 22:42:05 - mmengine - INFO - Epoch(train) [71][280/3757] lr: 6.7101e-03 eta: 1 day, 21:31:58 time: 0.3921 data_time: 0.0158 memory: 17007 grad_norm: 6.3501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0637 loss: 2.0637 2022/07/27 22:42:12 - mmengine - INFO - Epoch(train) [71][300/3757] lr: 6.7101e-03 eta: 1 day, 21:31:50 time: 0.3918 data_time: 0.0123 memory: 17007 grad_norm: 6.7143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0927 loss: 2.0927 2022/07/27 22:42:20 - mmengine - INFO - Epoch(train) [71][320/3757] lr: 6.7101e-03 eta: 1 day, 21:31:42 time: 0.3979 data_time: 0.0160 memory: 17007 grad_norm: 6.7211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8870 loss: 1.8870 2022/07/27 22:42:28 - mmengine - INFO - Epoch(train) [71][340/3757] lr: 6.7101e-03 eta: 1 day, 21:31:34 time: 0.3943 data_time: 0.0137 memory: 17007 grad_norm: 6.9028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9953 loss: 1.9953 2022/07/27 22:42:36 - mmengine - INFO - Epoch(train) [71][360/3757] lr: 6.7101e-03 eta: 1 day, 21:31:26 time: 0.3966 data_time: 0.0155 memory: 17007 grad_norm: 6.6502 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1419 loss: 2.1419 2022/07/27 22:42:44 - mmengine - INFO - Epoch(train) [71][380/3757] lr: 6.7101e-03 eta: 1 day, 21:31:18 time: 0.3906 data_time: 0.0129 memory: 17007 grad_norm: 6.7971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2041 loss: 2.2041 2022/07/27 22:42:52 - mmengine - INFO - Epoch(train) [71][400/3757] lr: 6.7101e-03 eta: 1 day, 21:31:10 time: 0.3939 data_time: 0.0168 memory: 17007 grad_norm: 6.6544 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1115 loss: 2.1115 2022/07/27 22:43:00 - mmengine - INFO - Epoch(train) [71][420/3757] lr: 6.7101e-03 eta: 1 day, 21:31:02 time: 0.3913 data_time: 0.0124 memory: 17007 grad_norm: 6.6193 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1001 loss: 2.1001 2022/07/27 22:43:08 - mmengine - INFO - Epoch(train) [71][440/3757] lr: 6.7101e-03 eta: 1 day, 21:30:54 time: 0.4008 data_time: 0.0171 memory: 17007 grad_norm: 6.8050 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3222 loss: 2.3222 2022/07/27 22:43:16 - mmengine - INFO - Epoch(train) [71][460/3757] lr: 6.7101e-03 eta: 1 day, 21:30:46 time: 0.3920 data_time: 0.0133 memory: 17007 grad_norm: 6.7540 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4824 loss: 2.4824 2022/07/27 22:43:24 - mmengine - INFO - Epoch(train) [71][480/3757] lr: 6.7101e-03 eta: 1 day, 21:30:38 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 6.5507 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9668 loss: 1.9668 2022/07/27 22:43:32 - mmengine - INFO - Epoch(train) [71][500/3757] lr: 6.7101e-03 eta: 1 day, 21:30:30 time: 0.3994 data_time: 0.0147 memory: 17007 grad_norm: 6.6588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1885 loss: 2.1885 2022/07/27 22:43:39 - mmengine - INFO - Epoch(train) [71][520/3757] lr: 6.7101e-03 eta: 1 day, 21:30:22 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 6.5807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0034 loss: 2.0034 2022/07/27 22:43:47 - mmengine - INFO - Epoch(train) [71][540/3757] lr: 6.7101e-03 eta: 1 day, 21:30:14 time: 0.3978 data_time: 0.0142 memory: 17007 grad_norm: 6.7870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0574 loss: 2.0574 2022/07/27 22:43:55 - mmengine - INFO - Epoch(train) [71][560/3757] lr: 6.7101e-03 eta: 1 day, 21:30:06 time: 0.3966 data_time: 0.0160 memory: 17007 grad_norm: 6.7692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7434 loss: 1.7434 2022/07/27 22:44:03 - mmengine - INFO - Epoch(train) [71][580/3757] lr: 6.7101e-03 eta: 1 day, 21:29:58 time: 0.3985 data_time: 0.0149 memory: 17007 grad_norm: 6.7327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5455 loss: 2.5455 2022/07/27 22:44:11 - mmengine - INFO - Epoch(train) [71][600/3757] lr: 6.7101e-03 eta: 1 day, 21:29:50 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 6.6619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3543 loss: 2.3543 2022/07/27 22:44:19 - mmengine - INFO - Epoch(train) [71][620/3757] lr: 6.7101e-03 eta: 1 day, 21:29:42 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 6.7264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9283 loss: 1.9283 2022/07/27 22:44:27 - mmengine - INFO - Epoch(train) [71][640/3757] lr: 6.7101e-03 eta: 1 day, 21:29:34 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 6.6377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1070 loss: 2.1070 2022/07/27 22:44:35 - mmengine - INFO - Epoch(train) [71][660/3757] lr: 6.7101e-03 eta: 1 day, 21:29:26 time: 0.4056 data_time: 0.0148 memory: 17007 grad_norm: 6.7760 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2654 loss: 2.2654 2022/07/27 22:44:43 - mmengine - INFO - Epoch(train) [71][680/3757] lr: 6.7101e-03 eta: 1 day, 21:29:18 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.6408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0232 loss: 2.0232 2022/07/27 22:44:51 - mmengine - INFO - Epoch(train) [71][700/3757] lr: 6.7101e-03 eta: 1 day, 21:29:10 time: 0.3939 data_time: 0.0143 memory: 17007 grad_norm: 6.5391 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/07/27 22:44:59 - mmengine - INFO - Epoch(train) [71][720/3757] lr: 6.7101e-03 eta: 1 day, 21:29:03 time: 0.4041 data_time: 0.0155 memory: 17007 grad_norm: 6.6512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3540 loss: 2.3540 2022/07/27 22:45:07 - mmengine - INFO - Epoch(train) [71][740/3757] lr: 6.7101e-03 eta: 1 day, 21:28:55 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 6.5877 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7910 loss: 1.7910 2022/07/27 22:45:15 - mmengine - INFO - Epoch(train) [71][760/3757] lr: 6.7101e-03 eta: 1 day, 21:28:47 time: 0.3934 data_time: 0.0166 memory: 17007 grad_norm: 6.5424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1035 loss: 2.1035 2022/07/27 22:45:23 - mmengine - INFO - Epoch(train) [71][780/3757] lr: 6.7101e-03 eta: 1 day, 21:28:38 time: 0.3907 data_time: 0.0132 memory: 17007 grad_norm: 6.7381 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2123 loss: 2.2123 2022/07/27 22:45:30 - mmengine - INFO - Epoch(train) [71][800/3757] lr: 6.7101e-03 eta: 1 day, 21:28:31 time: 0.3965 data_time: 0.0156 memory: 17007 grad_norm: 6.4117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0056 loss: 2.0056 2022/07/27 22:45:38 - mmengine - INFO - Epoch(train) [71][820/3757] lr: 6.7101e-03 eta: 1 day, 21:28:22 time: 0.3937 data_time: 0.0140 memory: 17007 grad_norm: 6.7844 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3232 loss: 2.3232 2022/07/27 22:45:46 - mmengine - INFO - Epoch(train) [71][840/3757] lr: 6.7101e-03 eta: 1 day, 21:28:15 time: 0.4026 data_time: 0.0166 memory: 17007 grad_norm: 6.7251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2661 loss: 2.2661 2022/07/27 22:45:54 - mmengine - INFO - Epoch(train) [71][860/3757] lr: 6.7101e-03 eta: 1 day, 21:28:07 time: 0.3922 data_time: 0.0138 memory: 17007 grad_norm: 6.7226 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4357 loss: 2.4357 2022/07/27 22:46:02 - mmengine - INFO - Epoch(train) [71][880/3757] lr: 6.7101e-03 eta: 1 day, 21:27:59 time: 0.4099 data_time: 0.0156 memory: 17007 grad_norm: 6.6103 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2927 loss: 2.2927 2022/07/27 22:46:10 - mmengine - INFO - Epoch(train) [71][900/3757] lr: 6.7101e-03 eta: 1 day, 21:27:51 time: 0.3947 data_time: 0.0138 memory: 17007 grad_norm: 6.5687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1432 loss: 2.1432 2022/07/27 22:46:18 - mmengine - INFO - Epoch(train) [71][920/3757] lr: 6.7101e-03 eta: 1 day, 21:27:43 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 6.4970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2989 loss: 2.2989 2022/07/27 22:46:26 - mmengine - INFO - Epoch(train) [71][940/3757] lr: 6.7101e-03 eta: 1 day, 21:27:35 time: 0.4005 data_time: 0.0145 memory: 17007 grad_norm: 6.6041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9515 loss: 1.9515 2022/07/27 22:46:34 - mmengine - INFO - Epoch(train) [71][960/3757] lr: 6.7101e-03 eta: 1 day, 21:27:27 time: 0.3929 data_time: 0.0161 memory: 17007 grad_norm: 6.5167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1558 loss: 2.1558 2022/07/27 22:46:42 - mmengine - INFO - Epoch(train) [71][980/3757] lr: 6.7101e-03 eta: 1 day, 21:27:19 time: 0.3930 data_time: 0.0148 memory: 17007 grad_norm: 6.6935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0014 loss: 2.0014 2022/07/27 22:46:50 - mmengine - INFO - Epoch(train) [71][1000/3757] lr: 6.7101e-03 eta: 1 day, 21:27:12 time: 0.4157 data_time: 0.0164 memory: 17007 grad_norm: 6.4680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3010 loss: 2.3010 2022/07/27 22:46:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:46:58 - mmengine - INFO - Epoch(train) [71][1020/3757] lr: 6.7101e-03 eta: 1 day, 21:27:04 time: 0.3928 data_time: 0.0142 memory: 17007 grad_norm: 6.4426 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1001 loss: 2.1001 2022/07/27 22:47:06 - mmengine - INFO - Epoch(train) [71][1040/3757] lr: 6.7101e-03 eta: 1 day, 21:26:56 time: 0.3957 data_time: 0.0157 memory: 17007 grad_norm: 6.5283 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9066 loss: 1.9066 2022/07/27 22:47:14 - mmengine - INFO - Epoch(train) [71][1060/3757] lr: 6.7101e-03 eta: 1 day, 21:26:48 time: 0.3917 data_time: 0.0146 memory: 17007 grad_norm: 6.3875 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1554 loss: 2.1554 2022/07/27 22:47:22 - mmengine - INFO - Epoch(train) [71][1080/3757] lr: 6.7101e-03 eta: 1 day, 21:26:40 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 6.6015 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9153 loss: 1.9153 2022/07/27 22:47:30 - mmengine - INFO - Epoch(train) [71][1100/3757] lr: 6.7101e-03 eta: 1 day, 21:26:32 time: 0.4057 data_time: 0.0154 memory: 17007 grad_norm: 6.7652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9888 loss: 1.9888 2022/07/27 22:47:38 - mmengine - INFO - Epoch(train) [71][1120/3757] lr: 6.7101e-03 eta: 1 day, 21:26:24 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 6.6838 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5020 loss: 2.5020 2022/07/27 22:47:46 - mmengine - INFO - Epoch(train) [71][1140/3757] lr: 6.7101e-03 eta: 1 day, 21:26:16 time: 0.4040 data_time: 0.0145 memory: 17007 grad_norm: 6.8572 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9675 loss: 1.9675 2022/07/27 22:47:54 - mmengine - INFO - Epoch(train) [71][1160/3757] lr: 6.7101e-03 eta: 1 day, 21:26:08 time: 0.3932 data_time: 0.0149 memory: 17007 grad_norm: 6.7615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2220 loss: 2.2220 2022/07/27 22:48:02 - mmengine - INFO - Epoch(train) [71][1180/3757] lr: 6.7101e-03 eta: 1 day, 21:26:00 time: 0.3933 data_time: 0.0129 memory: 17007 grad_norm: 6.8506 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3703 loss: 2.3703 2022/07/27 22:48:10 - mmengine - INFO - Epoch(train) [71][1200/3757] lr: 6.7101e-03 eta: 1 day, 21:25:52 time: 0.3992 data_time: 0.0154 memory: 17007 grad_norm: 6.4218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1521 loss: 2.1521 2022/07/27 22:48:18 - mmengine - INFO - Epoch(train) [71][1220/3757] lr: 6.7101e-03 eta: 1 day, 21:25:44 time: 0.3929 data_time: 0.0130 memory: 17007 grad_norm: 6.4960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9815 loss: 1.9815 2022/07/27 22:48:26 - mmengine - INFO - Epoch(train) [71][1240/3757] lr: 6.7101e-03 eta: 1 day, 21:25:37 time: 0.4102 data_time: 0.0163 memory: 17007 grad_norm: 6.5243 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2868 loss: 2.2868 2022/07/27 22:48:34 - mmengine - INFO - Epoch(train) [71][1260/3757] lr: 6.7101e-03 eta: 1 day, 21:25:29 time: 0.3917 data_time: 0.0152 memory: 17007 grad_norm: 6.6239 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9776 loss: 1.9776 2022/07/27 22:48:42 - mmengine - INFO - Epoch(train) [71][1280/3757] lr: 6.7101e-03 eta: 1 day, 21:25:21 time: 0.3982 data_time: 0.0168 memory: 17007 grad_norm: 6.5674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0166 loss: 2.0166 2022/07/27 22:48:49 - mmengine - INFO - Epoch(train) [71][1300/3757] lr: 6.7101e-03 eta: 1 day, 21:25:13 time: 0.3947 data_time: 0.0136 memory: 17007 grad_norm: 6.7165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0818 loss: 2.0818 2022/07/27 22:48:58 - mmengine - INFO - Epoch(train) [71][1320/3757] lr: 6.7101e-03 eta: 1 day, 21:25:05 time: 0.4085 data_time: 0.0162 memory: 17007 grad_norm: 6.6754 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3218 loss: 2.3218 2022/07/27 22:49:06 - mmengine - INFO - Epoch(train) [71][1340/3757] lr: 6.7101e-03 eta: 1 day, 21:24:57 time: 0.3991 data_time: 0.0129 memory: 17007 grad_norm: 6.5483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5785 loss: 2.5785 2022/07/27 22:49:14 - mmengine - INFO - Epoch(train) [71][1360/3757] lr: 6.7101e-03 eta: 1 day, 21:24:49 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 6.6758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2538 loss: 2.2538 2022/07/27 22:49:21 - mmengine - INFO - Epoch(train) [71][1380/3757] lr: 6.7101e-03 eta: 1 day, 21:24:41 time: 0.3962 data_time: 0.0136 memory: 17007 grad_norm: 6.5879 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1429 loss: 2.1429 2022/07/27 22:49:30 - mmengine - INFO - Epoch(train) [71][1400/3757] lr: 6.7101e-03 eta: 1 day, 21:24:34 time: 0.4189 data_time: 0.0150 memory: 17007 grad_norm: 6.7118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1923 loss: 2.1923 2022/07/27 22:49:38 - mmengine - INFO - Epoch(train) [71][1420/3757] lr: 6.7101e-03 eta: 1 day, 21:24:26 time: 0.3969 data_time: 0.0146 memory: 17007 grad_norm: 6.7126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3825 loss: 2.3825 2022/07/27 22:49:46 - mmengine - INFO - Epoch(train) [71][1440/3757] lr: 6.7101e-03 eta: 1 day, 21:24:18 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 6.5116 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0013 loss: 2.0013 2022/07/27 22:49:54 - mmengine - INFO - Epoch(train) [71][1460/3757] lr: 6.7101e-03 eta: 1 day, 21:24:10 time: 0.3908 data_time: 0.0128 memory: 17007 grad_norm: 6.7863 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1757 loss: 2.1757 2022/07/27 22:50:02 - mmengine - INFO - Epoch(train) [71][1480/3757] lr: 6.7101e-03 eta: 1 day, 21:24:03 time: 0.4319 data_time: 0.0162 memory: 17007 grad_norm: 6.7616 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4864 loss: 2.4864 2022/07/27 22:50:10 - mmengine - INFO - Epoch(train) [71][1500/3757] lr: 6.7101e-03 eta: 1 day, 21:23:55 time: 0.3932 data_time: 0.0152 memory: 17007 grad_norm: 6.5199 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9773 loss: 1.9773 2022/07/27 22:50:18 - mmengine - INFO - Epoch(train) [71][1520/3757] lr: 6.7101e-03 eta: 1 day, 21:23:47 time: 0.3973 data_time: 0.0162 memory: 17007 grad_norm: 6.5047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0442 loss: 2.0442 2022/07/27 22:50:27 - mmengine - INFO - Epoch(train) [71][1540/3757] lr: 6.7101e-03 eta: 1 day, 21:23:40 time: 0.4402 data_time: 0.0146 memory: 17007 grad_norm: 6.4017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2877 loss: 2.2877 2022/07/27 22:50:35 - mmengine - INFO - Epoch(train) [71][1560/3757] lr: 6.7101e-03 eta: 1 day, 21:23:32 time: 0.3917 data_time: 0.0148 memory: 17007 grad_norm: 6.6169 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1815 loss: 2.1815 2022/07/27 22:50:43 - mmengine - INFO - Epoch(train) [71][1580/3757] lr: 6.7101e-03 eta: 1 day, 21:23:24 time: 0.3970 data_time: 0.0149 memory: 17007 grad_norm: 6.8052 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1909 loss: 2.1909 2022/07/27 22:50:51 - mmengine - INFO - Epoch(train) [71][1600/3757] lr: 6.7101e-03 eta: 1 day, 21:23:17 time: 0.4180 data_time: 0.0152 memory: 17007 grad_norm: 6.7226 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1732 loss: 2.1732 2022/07/27 22:50:59 - mmengine - INFO - Epoch(train) [71][1620/3757] lr: 6.7101e-03 eta: 1 day, 21:23:09 time: 0.3946 data_time: 0.0151 memory: 17007 grad_norm: 6.7243 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1491 loss: 2.1491 2022/07/27 22:51:07 - mmengine - INFO - Epoch(train) [71][1640/3757] lr: 6.7101e-03 eta: 1 day, 21:23:01 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 6.5780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9529 loss: 1.9529 2022/07/27 22:51:15 - mmengine - INFO - Epoch(train) [71][1660/3757] lr: 6.7101e-03 eta: 1 day, 21:22:53 time: 0.3922 data_time: 0.0125 memory: 17007 grad_norm: 6.6879 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1044 loss: 2.1044 2022/07/27 22:51:24 - mmengine - INFO - Epoch(train) [71][1680/3757] lr: 6.7101e-03 eta: 1 day, 21:22:47 time: 0.4638 data_time: 0.0184 memory: 17007 grad_norm: 6.7060 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3223 loss: 2.3223 2022/07/27 22:51:32 - mmengine - INFO - Epoch(train) [71][1700/3757] lr: 6.7101e-03 eta: 1 day, 21:22:39 time: 0.3917 data_time: 0.0131 memory: 17007 grad_norm: 6.7457 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3015 loss: 2.3015 2022/07/27 22:51:40 - mmengine - INFO - Epoch(train) [71][1720/3757] lr: 6.7101e-03 eta: 1 day, 21:22:32 time: 0.4253 data_time: 0.0170 memory: 17007 grad_norm: 6.5324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0273 loss: 2.0273 2022/07/27 22:51:48 - mmengine - INFO - Epoch(train) [71][1740/3757] lr: 6.7101e-03 eta: 1 day, 21:22:24 time: 0.3930 data_time: 0.0141 memory: 17007 grad_norm: 6.7472 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2280 loss: 2.2280 2022/07/27 22:51:56 - mmengine - INFO - Epoch(train) [71][1760/3757] lr: 6.7101e-03 eta: 1 day, 21:22:16 time: 0.4040 data_time: 0.0161 memory: 17007 grad_norm: 6.3561 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1647 loss: 2.1647 2022/07/27 22:52:04 - mmengine - INFO - Epoch(train) [71][1780/3757] lr: 6.7101e-03 eta: 1 day, 21:22:08 time: 0.3931 data_time: 0.0145 memory: 17007 grad_norm: 6.6718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3509 loss: 2.3509 2022/07/27 22:52:12 - mmengine - INFO - Epoch(train) [71][1800/3757] lr: 6.7101e-03 eta: 1 day, 21:22:00 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 6.6979 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4044 loss: 2.4044 2022/07/27 22:52:20 - mmengine - INFO - Epoch(train) [71][1820/3757] lr: 6.7101e-03 eta: 1 day, 21:21:52 time: 0.4009 data_time: 0.0159 memory: 17007 grad_norm: 6.5121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1434 loss: 2.1434 2022/07/27 22:52:28 - mmengine - INFO - Epoch(train) [71][1840/3757] lr: 6.7101e-03 eta: 1 day, 21:21:44 time: 0.3946 data_time: 0.0164 memory: 17007 grad_norm: 6.6000 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8907 loss: 1.8907 2022/07/27 22:52:36 - mmengine - INFO - Epoch(train) [71][1860/3757] lr: 6.7101e-03 eta: 1 day, 21:21:37 time: 0.4053 data_time: 0.0139 memory: 17007 grad_norm: 6.8225 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2832 loss: 2.2832 2022/07/27 22:52:44 - mmengine - INFO - Epoch(train) [71][1880/3757] lr: 6.7101e-03 eta: 1 day, 21:21:29 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 7.0112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2785 loss: 2.2785 2022/07/27 22:52:52 - mmengine - INFO - Epoch(train) [71][1900/3757] lr: 6.7101e-03 eta: 1 day, 21:21:21 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 6.5072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1650 loss: 2.1650 2022/07/27 22:53:00 - mmengine - INFO - Epoch(train) [71][1920/3757] lr: 6.7101e-03 eta: 1 day, 21:21:13 time: 0.3969 data_time: 0.0150 memory: 17007 grad_norm: 6.6772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0529 loss: 2.0529 2022/07/27 22:53:08 - mmengine - INFO - Epoch(train) [71][1940/3757] lr: 6.7101e-03 eta: 1 day, 21:21:05 time: 0.4101 data_time: 0.0158 memory: 17007 grad_norm: 6.7791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3397 loss: 2.3397 2022/07/27 22:53:16 - mmengine - INFO - Epoch(train) [71][1960/3757] lr: 6.7101e-03 eta: 1 day, 21:20:57 time: 0.4037 data_time: 0.0164 memory: 17007 grad_norm: 6.4464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2371 loss: 2.2371 2022/07/27 22:53:24 - mmengine - INFO - Epoch(train) [71][1980/3757] lr: 6.7101e-03 eta: 1 day, 21:20:49 time: 0.3924 data_time: 0.0136 memory: 17007 grad_norm: 6.7162 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5042 loss: 2.5042 2022/07/27 22:53:32 - mmengine - INFO - Epoch(train) [71][2000/3757] lr: 6.7101e-03 eta: 1 day, 21:20:42 time: 0.4075 data_time: 0.0170 memory: 17007 grad_norm: 6.6394 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0109 loss: 2.0109 2022/07/27 22:53:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 22:53:40 - mmengine - INFO - Epoch(train) [71][2020/3757] lr: 6.7101e-03 eta: 1 day, 21:20:34 time: 0.3921 data_time: 0.0133 memory: 17007 grad_norm: 6.5755 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2135 loss: 2.2135 2022/07/27 22:53:48 - mmengine - INFO - Epoch(train) [71][2040/3757] lr: 6.7101e-03 eta: 1 day, 21:20:26 time: 0.4119 data_time: 0.0157 memory: 17007 grad_norm: 6.5677 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2292 loss: 2.2292 2022/07/27 22:53:56 - mmengine - INFO - Epoch(train) [71][2060/3757] lr: 6.7101e-03 eta: 1 day, 21:20:18 time: 0.3910 data_time: 0.0125 memory: 17007 grad_norm: 6.5745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2435 loss: 2.2435 2022/07/27 22:54:04 - mmengine - INFO - Epoch(train) [71][2080/3757] lr: 6.7101e-03 eta: 1 day, 21:20:10 time: 0.3931 data_time: 0.0146 memory: 17007 grad_norm: 6.3771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1031 loss: 2.1031 2022/07/27 22:54:12 - mmengine - INFO - Epoch(train) [71][2100/3757] lr: 6.7101e-03 eta: 1 day, 21:20:02 time: 0.3949 data_time: 0.0143 memory: 17007 grad_norm: 6.6951 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3157 loss: 2.3157 2022/07/27 22:54:20 - mmengine - INFO - Epoch(train) [71][2120/3757] lr: 6.7101e-03 eta: 1 day, 21:19:55 time: 0.4252 data_time: 0.0222 memory: 17007 grad_norm: 6.9094 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3638 loss: 2.3638 2022/07/27 22:54:28 - mmengine - INFO - Epoch(train) [71][2140/3757] lr: 6.7101e-03 eta: 1 day, 21:19:47 time: 0.3925 data_time: 0.0146 memory: 17007 grad_norm: 6.6921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2327 loss: 2.2327 2022/07/27 22:54:36 - mmengine - INFO - Epoch(train) [71][2160/3757] lr: 6.7101e-03 eta: 1 day, 21:19:39 time: 0.4060 data_time: 0.0200 memory: 17007 grad_norm: 6.4661 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1084 loss: 2.1084 2022/07/27 22:54:44 - mmengine - INFO - Epoch(train) [71][2180/3757] lr: 6.7101e-03 eta: 1 day, 21:19:31 time: 0.3920 data_time: 0.0140 memory: 17007 grad_norm: 6.6079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1170 loss: 2.1170 2022/07/27 22:54:52 - mmengine - INFO - Epoch(train) [71][2200/3757] lr: 6.7101e-03 eta: 1 day, 21:19:23 time: 0.3986 data_time: 0.0168 memory: 17007 grad_norm: 6.4880 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9298 loss: 1.9298 2022/07/27 22:55:00 - mmengine - INFO - Epoch(train) [71][2220/3757] lr: 6.7101e-03 eta: 1 day, 21:19:15 time: 0.3961 data_time: 0.0145 memory: 17007 grad_norm: 6.6587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0432 loss: 2.0432 2022/07/27 22:55:08 - mmengine - INFO - Epoch(train) [71][2240/3757] lr: 6.7101e-03 eta: 1 day, 21:19:07 time: 0.3953 data_time: 0.0151 memory: 17007 grad_norm: 6.4945 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1610 loss: 2.1610 2022/07/27 22:55:16 - mmengine - INFO - Epoch(train) [71][2260/3757] lr: 6.7101e-03 eta: 1 day, 21:18:59 time: 0.3935 data_time: 0.0137 memory: 17007 grad_norm: 6.6584 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0285 loss: 2.0285 2022/07/27 22:55:24 - mmengine - INFO - Epoch(train) [71][2280/3757] lr: 6.7101e-03 eta: 1 day, 21:18:51 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 6.7466 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0448 loss: 2.0448 2022/07/27 22:55:32 - mmengine - INFO - Epoch(train) [71][2300/3757] lr: 6.7101e-03 eta: 1 day, 21:18:43 time: 0.3965 data_time: 0.0139 memory: 17007 grad_norm: 6.6475 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2552 loss: 2.2552 2022/07/27 22:55:39 - mmengine - INFO - Epoch(train) [71][2320/3757] lr: 6.7101e-03 eta: 1 day, 21:18:35 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 6.6837 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0705 loss: 2.0705 2022/07/27 22:55:47 - mmengine - INFO - Epoch(train) [71][2340/3757] lr: 6.7101e-03 eta: 1 day, 21:18:27 time: 0.3931 data_time: 0.0132 memory: 17007 grad_norm: 6.8568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1543 loss: 2.1543 2022/07/27 22:55:55 - mmengine - INFO - Epoch(train) [71][2360/3757] lr: 6.7101e-03 eta: 1 day, 21:18:19 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 6.7622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1362 loss: 2.1362 2022/07/27 22:56:03 - mmengine - INFO - Epoch(train) [71][2380/3757] lr: 6.7101e-03 eta: 1 day, 21:18:11 time: 0.3925 data_time: 0.0122 memory: 17007 grad_norm: 6.6460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2143 loss: 2.2143 2022/07/27 22:56:11 - mmengine - INFO - Epoch(train) [71][2400/3757] lr: 6.7101e-03 eta: 1 day, 21:18:03 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 6.6530 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2551 loss: 2.2551 2022/07/27 22:56:19 - mmengine - INFO - Epoch(train) [71][2420/3757] lr: 6.7101e-03 eta: 1 day, 21:17:55 time: 0.3940 data_time: 0.0141 memory: 17007 grad_norm: 6.6226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2171 loss: 2.2171 2022/07/27 22:56:27 - mmengine - INFO - Epoch(train) [71][2440/3757] lr: 6.7101e-03 eta: 1 day, 21:17:47 time: 0.3957 data_time: 0.0157 memory: 17007 grad_norm: 6.3784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8993 loss: 1.8993 2022/07/27 22:56:35 - mmengine - INFO - Epoch(train) [71][2460/3757] lr: 6.7101e-03 eta: 1 day, 21:17:39 time: 0.3915 data_time: 0.0127 memory: 17007 grad_norm: 6.3812 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0755 loss: 2.0755 2022/07/27 22:56:42 - mmengine - INFO - Epoch(train) [71][2480/3757] lr: 6.7101e-03 eta: 1 day, 21:17:31 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 6.7901 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2537 loss: 2.2537 2022/07/27 22:56:50 - mmengine - INFO - Epoch(train) [71][2500/3757] lr: 6.7101e-03 eta: 1 day, 21:17:23 time: 0.3959 data_time: 0.0138 memory: 17007 grad_norm: 6.7447 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4092 loss: 2.4092 2022/07/27 22:56:58 - mmengine - INFO - Epoch(train) [71][2520/3757] lr: 6.7101e-03 eta: 1 day, 21:17:15 time: 0.3950 data_time: 0.0160 memory: 17007 grad_norm: 6.4281 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0208 loss: 2.0208 2022/07/27 22:57:06 - mmengine - INFO - Epoch(train) [71][2540/3757] lr: 6.7101e-03 eta: 1 day, 21:17:07 time: 0.3967 data_time: 0.0141 memory: 17007 grad_norm: 6.3933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8662 loss: 1.8662 2022/07/27 22:57:14 - mmengine - INFO - Epoch(train) [71][2560/3757] lr: 6.7101e-03 eta: 1 day, 21:16:59 time: 0.3928 data_time: 0.0147 memory: 17007 grad_norm: 6.8383 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9342 loss: 1.9342 2022/07/27 22:57:22 - mmengine - INFO - Epoch(train) [71][2580/3757] lr: 6.7101e-03 eta: 1 day, 21:16:51 time: 0.4132 data_time: 0.0127 memory: 17007 grad_norm: 6.8745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1250 loss: 2.1250 2022/07/27 22:57:30 - mmengine - INFO - Epoch(train) [71][2600/3757] lr: 6.7101e-03 eta: 1 day, 21:16:43 time: 0.3971 data_time: 0.0156 memory: 17007 grad_norm: 6.6898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9552 loss: 1.9552 2022/07/27 22:57:38 - mmengine - INFO - Epoch(train) [71][2620/3757] lr: 6.7101e-03 eta: 1 day, 21:16:35 time: 0.3926 data_time: 0.0143 memory: 17007 grad_norm: 6.9445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3885 loss: 2.3885 2022/07/27 22:57:46 - mmengine - INFO - Epoch(train) [71][2640/3757] lr: 6.7101e-03 eta: 1 day, 21:16:28 time: 0.4144 data_time: 0.0167 memory: 17007 grad_norm: 6.6008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0147 loss: 2.0147 2022/07/27 22:57:54 - mmengine - INFO - Epoch(train) [71][2660/3757] lr: 6.7101e-03 eta: 1 day, 21:16:20 time: 0.3919 data_time: 0.0132 memory: 17007 grad_norm: 6.7333 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3639 loss: 2.3639 2022/07/27 22:58:02 - mmengine - INFO - Epoch(train) [71][2680/3757] lr: 6.7101e-03 eta: 1 day, 21:16:12 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 6.4985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2182 loss: 2.2182 2022/07/27 22:58:10 - mmengine - INFO - Epoch(train) [71][2700/3757] lr: 6.7101e-03 eta: 1 day, 21:16:04 time: 0.4046 data_time: 0.0146 memory: 17007 grad_norm: 6.8951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1878 loss: 2.1878 2022/07/27 22:58:18 - mmengine - INFO - Epoch(train) [71][2720/3757] lr: 6.7101e-03 eta: 1 day, 21:15:56 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 6.6765 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4409 loss: 2.4409 2022/07/27 22:58:26 - mmengine - INFO - Epoch(train) [71][2740/3757] lr: 6.7101e-03 eta: 1 day, 21:15:48 time: 0.3941 data_time: 0.0134 memory: 17007 grad_norm: 6.5525 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1596 loss: 2.1596 2022/07/27 22:58:34 - mmengine - INFO - Epoch(train) [71][2760/3757] lr: 6.7101e-03 eta: 1 day, 21:15:40 time: 0.3934 data_time: 0.0160 memory: 17007 grad_norm: 6.7919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8684 loss: 1.8684 2022/07/27 22:58:42 - mmengine - INFO - Epoch(train) [71][2780/3757] lr: 6.7101e-03 eta: 1 day, 21:15:32 time: 0.3905 data_time: 0.0115 memory: 17007 grad_norm: 6.8318 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.1152 loss: 2.1152 2022/07/27 22:58:50 - mmengine - INFO - Epoch(train) [71][2800/3757] lr: 6.7101e-03 eta: 1 day, 21:15:25 time: 0.4241 data_time: 0.0165 memory: 17007 grad_norm: 6.5888 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0472 loss: 2.0472 2022/07/27 22:58:58 - mmengine - INFO - Epoch(train) [71][2820/3757] lr: 6.7101e-03 eta: 1 day, 21:15:17 time: 0.3916 data_time: 0.0134 memory: 17007 grad_norm: 6.6786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8960 loss: 1.8960 2022/07/27 22:59:06 - mmengine - INFO - Epoch(train) [71][2840/3757] lr: 6.7101e-03 eta: 1 day, 21:15:09 time: 0.4058 data_time: 0.0151 memory: 17007 grad_norm: 6.8497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2027 loss: 2.2027 2022/07/27 22:59:14 - mmengine - INFO - Epoch(train) [71][2860/3757] lr: 6.7101e-03 eta: 1 day, 21:15:01 time: 0.3931 data_time: 0.0136 memory: 17007 grad_norm: 6.3858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8853 loss: 1.8853 2022/07/27 22:59:22 - mmengine - INFO - Epoch(train) [71][2880/3757] lr: 6.7101e-03 eta: 1 day, 21:14:53 time: 0.3922 data_time: 0.0152 memory: 17007 grad_norm: 6.7422 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3749 loss: 2.3749 2022/07/27 22:59:30 - mmengine - INFO - Epoch(train) [71][2900/3757] lr: 6.7101e-03 eta: 1 day, 21:14:45 time: 0.4060 data_time: 0.0139 memory: 17007 grad_norm: 6.6541 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2854 loss: 2.2854 2022/07/27 22:59:38 - mmengine - INFO - Epoch(train) [71][2920/3757] lr: 6.7101e-03 eta: 1 day, 21:14:37 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 6.5086 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5125 loss: 2.5125 2022/07/27 22:59:46 - mmengine - INFO - Epoch(train) [71][2940/3757] lr: 6.7101e-03 eta: 1 day, 21:14:29 time: 0.3955 data_time: 0.0128 memory: 17007 grad_norm: 6.7833 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1910 loss: 2.1910 2022/07/27 22:59:54 - mmengine - INFO - Epoch(train) [71][2960/3757] lr: 6.7101e-03 eta: 1 day, 21:14:21 time: 0.3978 data_time: 0.0175 memory: 17007 grad_norm: 6.4521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0149 loss: 2.0149 2022/07/27 23:00:02 - mmengine - INFO - Epoch(train) [71][2980/3757] lr: 6.7101e-03 eta: 1 day, 21:14:13 time: 0.3925 data_time: 0.0133 memory: 17007 grad_norm: 6.7083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2771 loss: 2.2771 2022/07/27 23:00:10 - mmengine - INFO - Epoch(train) [71][3000/3757] lr: 6.7101e-03 eta: 1 day, 21:14:06 time: 0.4129 data_time: 0.0164 memory: 17007 grad_norm: 6.5139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9802 loss: 1.9802 2022/07/27 23:00:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:00:18 - mmengine - INFO - Epoch(train) [71][3020/3757] lr: 6.7101e-03 eta: 1 day, 21:13:58 time: 0.3922 data_time: 0.0134 memory: 17007 grad_norm: 6.7687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1161 loss: 2.1161 2022/07/27 23:00:26 - mmengine - INFO - Epoch(train) [71][3040/3757] lr: 6.7101e-03 eta: 1 day, 21:13:50 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.4435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0251 loss: 2.0251 2022/07/27 23:00:34 - mmengine - INFO - Epoch(train) [71][3060/3757] lr: 6.7101e-03 eta: 1 day, 21:13:42 time: 0.4248 data_time: 0.0146 memory: 17007 grad_norm: 6.7100 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2124 loss: 2.2124 2022/07/27 23:00:42 - mmengine - INFO - Epoch(train) [71][3080/3757] lr: 6.7101e-03 eta: 1 day, 21:13:34 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.6104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1843 loss: 2.1843 2022/07/27 23:00:50 - mmengine - INFO - Epoch(train) [71][3100/3757] lr: 6.7101e-03 eta: 1 day, 21:13:27 time: 0.4022 data_time: 0.0155 memory: 17007 grad_norm: 6.4855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0792 loss: 2.0792 2022/07/27 23:00:58 - mmengine - INFO - Epoch(train) [71][3120/3757] lr: 6.7101e-03 eta: 1 day, 21:13:19 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 6.5769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2256 loss: 2.2256 2022/07/27 23:01:06 - mmengine - INFO - Epoch(train) [71][3140/3757] lr: 6.7101e-03 eta: 1 day, 21:13:10 time: 0.3915 data_time: 0.0131 memory: 17007 grad_norm: 6.9302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5114 loss: 2.5114 2022/07/27 23:01:14 - mmengine - INFO - Epoch(train) [71][3160/3757] lr: 6.7101e-03 eta: 1 day, 21:13:03 time: 0.4003 data_time: 0.0193 memory: 17007 grad_norm: 6.6801 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2507 loss: 2.2507 2022/07/27 23:01:22 - mmengine - INFO - Epoch(train) [71][3180/3757] lr: 6.7101e-03 eta: 1 day, 21:12:55 time: 0.3916 data_time: 0.0140 memory: 17007 grad_norm: 6.5293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2153 loss: 2.2153 2022/07/27 23:01:30 - mmengine - INFO - Epoch(train) [71][3200/3757] lr: 6.7101e-03 eta: 1 day, 21:12:47 time: 0.4098 data_time: 0.0149 memory: 17007 grad_norm: 6.6130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2095 loss: 2.2095 2022/07/27 23:01:44 - mmengine - INFO - Epoch(train) [71][3220/3757] lr: 6.7101e-03 eta: 1 day, 21:12:48 time: 0.6947 data_time: 0.0131 memory: 17007 grad_norm: 6.7633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9440 loss: 1.9440 2022/07/27 23:01:53 - mmengine - INFO - Epoch(train) [71][3240/3757] lr: 6.7101e-03 eta: 1 day, 21:12:42 time: 0.4399 data_time: 0.0168 memory: 17007 grad_norm: 6.6206 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8790 loss: 1.8790 2022/07/27 23:02:06 - mmengine - INFO - Epoch(train) [71][3260/3757] lr: 6.7101e-03 eta: 1 day, 21:12:42 time: 0.6817 data_time: 0.0160 memory: 17007 grad_norm: 6.7310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2517 loss: 2.2517 2022/07/27 23:02:16 - mmengine - INFO - Epoch(train) [71][3280/3757] lr: 6.7101e-03 eta: 1 day, 21:12:37 time: 0.4656 data_time: 0.0805 memory: 17007 grad_norm: 6.6881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0793 loss: 2.0793 2022/07/27 23:02:23 - mmengine - INFO - Epoch(train) [71][3300/3757] lr: 6.7101e-03 eta: 1 day, 21:12:29 time: 0.3915 data_time: 0.0155 memory: 17007 grad_norm: 6.7312 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3531 loss: 2.3531 2022/07/27 23:02:32 - mmengine - INFO - Epoch(train) [71][3320/3757] lr: 6.7101e-03 eta: 1 day, 21:12:21 time: 0.4160 data_time: 0.0130 memory: 17007 grad_norm: 6.1122 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1227 loss: 2.1227 2022/07/27 23:02:41 - mmengine - INFO - Epoch(train) [71][3340/3757] lr: 6.7101e-03 eta: 1 day, 21:12:16 time: 0.4747 data_time: 0.0133 memory: 17007 grad_norm: 6.6866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0422 loss: 2.0422 2022/07/27 23:02:49 - mmengine - INFO - Epoch(train) [71][3360/3757] lr: 6.7101e-03 eta: 1 day, 21:12:08 time: 0.3985 data_time: 0.0162 memory: 17007 grad_norm: 6.6267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1479 loss: 2.1479 2022/07/27 23:02:57 - mmengine - INFO - Epoch(train) [71][3380/3757] lr: 6.7101e-03 eta: 1 day, 21:12:00 time: 0.3938 data_time: 0.0143 memory: 17007 grad_norm: 6.4658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1433 loss: 2.1433 2022/07/27 23:03:05 - mmengine - INFO - Epoch(train) [71][3400/3757] lr: 6.7101e-03 eta: 1 day, 21:11:52 time: 0.4034 data_time: 0.0153 memory: 17007 grad_norm: 6.3954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0058 loss: 2.0058 2022/07/27 23:03:13 - mmengine - INFO - Epoch(train) [71][3420/3757] lr: 6.7101e-03 eta: 1 day, 21:11:44 time: 0.3938 data_time: 0.0132 memory: 17007 grad_norm: 6.8344 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2197 loss: 2.2197 2022/07/27 23:03:21 - mmengine - INFO - Epoch(train) [71][3440/3757] lr: 6.7101e-03 eta: 1 day, 21:11:36 time: 0.3985 data_time: 0.0165 memory: 17007 grad_norm: 6.5562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8223 loss: 1.8223 2022/07/27 23:03:29 - mmengine - INFO - Epoch(train) [71][3460/3757] lr: 6.7101e-03 eta: 1 day, 21:11:28 time: 0.4034 data_time: 0.0130 memory: 17007 grad_norm: 6.4692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1189 loss: 2.1189 2022/07/27 23:03:37 - mmengine - INFO - Epoch(train) [71][3480/3757] lr: 6.7101e-03 eta: 1 day, 21:11:20 time: 0.3982 data_time: 0.0177 memory: 17007 grad_norm: 6.6552 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2391 loss: 2.2391 2022/07/27 23:03:45 - mmengine - INFO - Epoch(train) [71][3500/3757] lr: 6.7101e-03 eta: 1 day, 21:11:12 time: 0.3916 data_time: 0.0127 memory: 17007 grad_norm: 6.6917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3268 loss: 2.3268 2022/07/27 23:03:53 - mmengine - INFO - Epoch(train) [71][3520/3757] lr: 6.7101e-03 eta: 1 day, 21:11:04 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 6.5025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2129 loss: 2.2129 2022/07/27 23:04:01 - mmengine - INFO - Epoch(train) [71][3540/3757] lr: 6.7101e-03 eta: 1 day, 21:10:56 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 6.6102 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0471 loss: 2.0471 2022/07/27 23:04:09 - mmengine - INFO - Epoch(train) [71][3560/3757] lr: 6.7101e-03 eta: 1 day, 21:10:49 time: 0.4054 data_time: 0.0157 memory: 17007 grad_norm: 6.4368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3135 loss: 2.3135 2022/07/27 23:04:17 - mmengine - INFO - Epoch(train) [71][3580/3757] lr: 6.7101e-03 eta: 1 day, 21:10:41 time: 0.3964 data_time: 0.0143 memory: 17007 grad_norm: 6.5004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8698 loss: 1.8698 2022/07/27 23:04:25 - mmengine - INFO - Epoch(train) [71][3600/3757] lr: 6.7101e-03 eta: 1 day, 21:10:33 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 6.7439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2736 loss: 2.2736 2022/07/27 23:04:32 - mmengine - INFO - Epoch(train) [71][3620/3757] lr: 6.7101e-03 eta: 1 day, 21:10:24 time: 0.3928 data_time: 0.0130 memory: 17007 grad_norm: 6.4806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1414 loss: 2.1414 2022/07/27 23:04:40 - mmengine - INFO - Epoch(train) [71][3640/3757] lr: 6.7101e-03 eta: 1 day, 21:10:16 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 6.3693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2132 loss: 2.2132 2022/07/27 23:04:48 - mmengine - INFO - Epoch(train) [71][3660/3757] lr: 6.7101e-03 eta: 1 day, 21:10:08 time: 0.3958 data_time: 0.0152 memory: 17007 grad_norm: 6.6356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2946 loss: 2.2946 2022/07/27 23:04:56 - mmengine - INFO - Epoch(train) [71][3680/3757] lr: 6.7101e-03 eta: 1 day, 21:10:00 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 6.7682 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9856 loss: 1.9856 2022/07/27 23:05:04 - mmengine - INFO - Epoch(train) [71][3700/3757] lr: 6.7101e-03 eta: 1 day, 21:09:53 time: 0.3996 data_time: 0.0144 memory: 17007 grad_norm: 6.6926 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0961 loss: 2.0961 2022/07/27 23:05:12 - mmengine - INFO - Epoch(train) [71][3720/3757] lr: 6.7101e-03 eta: 1 day, 21:09:45 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 6.6026 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1431 loss: 2.1431 2022/07/27 23:05:20 - mmengine - INFO - Epoch(train) [71][3740/3757] lr: 6.7101e-03 eta: 1 day, 21:09:37 time: 0.4006 data_time: 0.0151 memory: 17007 grad_norm: 6.5972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7366 loss: 1.7366 2022/07/27 23:05:27 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:05:27 - mmengine - INFO - Epoch(train) [71][3757/3757] lr: 6.7101e-03 eta: 1 day, 21:09:37 time: 0.3902 data_time: 0.0152 memory: 17007 grad_norm: 6.9703 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.1379 loss: 2.1379 2022/07/27 23:05:27 - mmengine - INFO - Saving checkpoint at 71 epochs 2022/07/27 23:05:38 - mmengine - INFO - Epoch(train) [72][20/3757] lr: 6.6278e-03 eta: 1 day, 21:09:13 time: 0.4434 data_time: 0.0649 memory: 17007 grad_norm: 6.5986 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2356 loss: 2.2356 2022/07/27 23:05:46 - mmengine - INFO - Epoch(train) [72][40/3757] lr: 6.6278e-03 eta: 1 day, 21:09:05 time: 0.3956 data_time: 0.0177 memory: 17007 grad_norm: 6.5853 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1703 loss: 2.1703 2022/07/27 23:05:54 - mmengine - INFO - Epoch(train) [72][60/3757] lr: 6.6278e-03 eta: 1 day, 21:08:57 time: 0.4064 data_time: 0.0161 memory: 17007 grad_norm: 6.7071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9406 loss: 1.9406 2022/07/27 23:06:02 - mmengine - INFO - Epoch(train) [72][80/3757] lr: 6.6278e-03 eta: 1 day, 21:08:49 time: 0.3942 data_time: 0.0148 memory: 17007 grad_norm: 6.6439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8673 loss: 1.8673 2022/07/27 23:06:10 - mmengine - INFO - Epoch(train) [72][100/3757] lr: 6.6278e-03 eta: 1 day, 21:08:42 time: 0.4136 data_time: 0.0171 memory: 17007 grad_norm: 6.5794 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1787 loss: 2.1787 2022/07/27 23:06:18 - mmengine - INFO - Epoch(train) [72][120/3757] lr: 6.6278e-03 eta: 1 day, 21:08:34 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 6.6302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5632 loss: 2.5632 2022/07/27 23:06:26 - mmengine - INFO - Epoch(train) [72][140/3757] lr: 6.6278e-03 eta: 1 day, 21:08:26 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 6.5329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0801 loss: 2.0801 2022/07/27 23:06:34 - mmengine - INFO - Epoch(train) [72][160/3757] lr: 6.6278e-03 eta: 1 day, 21:08:18 time: 0.3970 data_time: 0.0142 memory: 17007 grad_norm: 6.7387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9375 loss: 1.9375 2022/07/27 23:06:42 - mmengine - INFO - Epoch(train) [72][180/3757] lr: 6.6278e-03 eta: 1 day, 21:08:10 time: 0.3931 data_time: 0.0142 memory: 17007 grad_norm: 6.6036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1546 loss: 2.1546 2022/07/27 23:06:50 - mmengine - INFO - Epoch(train) [72][200/3757] lr: 6.6278e-03 eta: 1 day, 21:08:02 time: 0.3999 data_time: 0.0170 memory: 17007 grad_norm: 6.4114 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1614 loss: 2.1614 2022/07/27 23:06:58 - mmengine - INFO - Epoch(train) [72][220/3757] lr: 6.6278e-03 eta: 1 day, 21:07:54 time: 0.3929 data_time: 0.0144 memory: 17007 grad_norm: 6.6045 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0903 loss: 2.0903 2022/07/27 23:07:06 - mmengine - INFO - Epoch(train) [72][240/3757] lr: 6.6278e-03 eta: 1 day, 21:07:46 time: 0.3930 data_time: 0.0151 memory: 17007 grad_norm: 6.3768 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0585 loss: 2.0585 2022/07/27 23:07:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:07:14 - mmengine - INFO - Epoch(train) [72][260/3757] lr: 6.6278e-03 eta: 1 day, 21:07:39 time: 0.4194 data_time: 0.0173 memory: 17007 grad_norm: 6.7748 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3963 loss: 2.3963 2022/07/27 23:07:22 - mmengine - INFO - Epoch(train) [72][280/3757] lr: 6.6278e-03 eta: 1 day, 21:07:31 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 6.4953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7073 loss: 1.7073 2022/07/27 23:07:30 - mmengine - INFO - Epoch(train) [72][300/3757] lr: 6.6278e-03 eta: 1 day, 21:07:23 time: 0.3994 data_time: 0.0154 memory: 17007 grad_norm: 6.7274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9803 loss: 1.9803 2022/07/27 23:07:38 - mmengine - INFO - Epoch(train) [72][320/3757] lr: 6.6278e-03 eta: 1 day, 21:07:15 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 6.6409 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2034 loss: 2.2034 2022/07/27 23:07:46 - mmengine - INFO - Epoch(train) [72][340/3757] lr: 6.6278e-03 eta: 1 day, 21:07:07 time: 0.4150 data_time: 0.0164 memory: 17007 grad_norm: 6.5229 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0239 loss: 2.0239 2022/07/27 23:07:54 - mmengine - INFO - Epoch(train) [72][360/3757] lr: 6.6278e-03 eta: 1 day, 21:06:59 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 6.4766 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.4030 loss: 2.4030 2022/07/27 23:08:02 - mmengine - INFO - Epoch(train) [72][380/3757] lr: 6.6278e-03 eta: 1 day, 21:06:52 time: 0.4018 data_time: 0.0169 memory: 17007 grad_norm: 6.6293 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2385 loss: 2.2385 2022/07/27 23:08:10 - mmengine - INFO - Epoch(train) [72][400/3757] lr: 6.6278e-03 eta: 1 day, 21:06:44 time: 0.3946 data_time: 0.0147 memory: 17007 grad_norm: 6.6447 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3454 loss: 2.3454 2022/07/27 23:08:18 - mmengine - INFO - Epoch(train) [72][420/3757] lr: 6.6278e-03 eta: 1 day, 21:06:36 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 6.4888 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3054 loss: 2.3054 2022/07/27 23:08:26 - mmengine - INFO - Epoch(train) [72][440/3757] lr: 6.6278e-03 eta: 1 day, 21:06:28 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 6.3518 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8547 loss: 1.8547 2022/07/27 23:08:34 - mmengine - INFO - Epoch(train) [72][460/3757] lr: 6.6278e-03 eta: 1 day, 21:06:20 time: 0.3935 data_time: 0.0143 memory: 17007 grad_norm: 6.4594 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9866 loss: 1.9866 2022/07/27 23:08:42 - mmengine - INFO - Epoch(train) [72][480/3757] lr: 6.6278e-03 eta: 1 day, 21:06:12 time: 0.4001 data_time: 0.0155 memory: 17007 grad_norm: 6.6213 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0588 loss: 2.0588 2022/07/27 23:08:50 - mmengine - INFO - Epoch(train) [72][500/3757] lr: 6.6278e-03 eta: 1 day, 21:06:04 time: 0.3982 data_time: 0.0152 memory: 17007 grad_norm: 6.6145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4023 loss: 2.4023 2022/07/27 23:08:58 - mmengine - INFO - Epoch(train) [72][520/3757] lr: 6.6278e-03 eta: 1 day, 21:05:56 time: 0.4028 data_time: 0.0162 memory: 17007 grad_norm: 6.4650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9978 loss: 1.9978 2022/07/27 23:09:06 - mmengine - INFO - Epoch(train) [72][540/3757] lr: 6.6278e-03 eta: 1 day, 21:05:48 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 6.8886 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0360 loss: 2.0360 2022/07/27 23:09:14 - mmengine - INFO - Epoch(train) [72][560/3757] lr: 6.6278e-03 eta: 1 day, 21:05:40 time: 0.4093 data_time: 0.0167 memory: 17007 grad_norm: 6.5685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5735 loss: 2.5735 2022/07/27 23:09:22 - mmengine - INFO - Epoch(train) [72][580/3757] lr: 6.6278e-03 eta: 1 day, 21:05:32 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 6.5048 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1713 loss: 2.1713 2022/07/27 23:09:30 - mmengine - INFO - Epoch(train) [72][600/3757] lr: 6.6278e-03 eta: 1 day, 21:05:25 time: 0.4015 data_time: 0.0191 memory: 17007 grad_norm: 6.5796 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1849 loss: 2.1849 2022/07/27 23:09:38 - mmengine - INFO - Epoch(train) [72][620/3757] lr: 6.6278e-03 eta: 1 day, 21:05:17 time: 0.3931 data_time: 0.0142 memory: 17007 grad_norm: 6.6263 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1746 loss: 2.1746 2022/07/27 23:09:45 - mmengine - INFO - Epoch(train) [72][640/3757] lr: 6.6278e-03 eta: 1 day, 21:05:08 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 6.5807 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0956 loss: 2.0956 2022/07/27 23:09:53 - mmengine - INFO - Epoch(train) [72][660/3757] lr: 6.6278e-03 eta: 1 day, 21:05:01 time: 0.3960 data_time: 0.0161 memory: 17007 grad_norm: 6.6331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1246 loss: 2.1246 2022/07/27 23:10:01 - mmengine - INFO - Epoch(train) [72][680/3757] lr: 6.6278e-03 eta: 1 day, 21:04:52 time: 0.3927 data_time: 0.0152 memory: 17007 grad_norm: 6.6603 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0008 loss: 2.0008 2022/07/27 23:10:09 - mmengine - INFO - Epoch(train) [72][700/3757] lr: 6.6278e-03 eta: 1 day, 21:04:45 time: 0.4086 data_time: 0.0186 memory: 17007 grad_norm: 6.5771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0409 loss: 2.0409 2022/07/27 23:10:17 - mmengine - INFO - Epoch(train) [72][720/3757] lr: 6.6278e-03 eta: 1 day, 21:04:37 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 6.3433 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3816 loss: 2.3816 2022/07/27 23:10:25 - mmengine - INFO - Epoch(train) [72][740/3757] lr: 6.6278e-03 eta: 1 day, 21:04:29 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 6.6427 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1280 loss: 2.1280 2022/07/27 23:10:33 - mmengine - INFO - Epoch(train) [72][760/3757] lr: 6.6278e-03 eta: 1 day, 21:04:21 time: 0.4072 data_time: 0.0186 memory: 17007 grad_norm: 6.8520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0610 loss: 2.0610 2022/07/27 23:10:41 - mmengine - INFO - Epoch(train) [72][780/3757] lr: 6.6278e-03 eta: 1 day, 21:04:13 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 6.4665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4438 loss: 2.4438 2022/07/27 23:10:49 - mmengine - INFO - Epoch(train) [72][800/3757] lr: 6.6278e-03 eta: 1 day, 21:04:06 time: 0.4086 data_time: 0.0205 memory: 17007 grad_norm: 6.5354 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2489 loss: 2.2489 2022/07/27 23:10:57 - mmengine - INFO - Epoch(train) [72][820/3757] lr: 6.6278e-03 eta: 1 day, 21:03:57 time: 0.3926 data_time: 0.0143 memory: 17007 grad_norm: 6.4337 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2632 loss: 2.2632 2022/07/27 23:11:05 - mmengine - INFO - Epoch(train) [72][840/3757] lr: 6.6278e-03 eta: 1 day, 21:03:49 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 6.7176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7042 loss: 1.7042 2022/07/27 23:11:13 - mmengine - INFO - Epoch(train) [72][860/3757] lr: 6.6278e-03 eta: 1 day, 21:03:42 time: 0.4012 data_time: 0.0156 memory: 17007 grad_norm: 6.6865 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1713 loss: 2.1713 2022/07/27 23:11:21 - mmengine - INFO - Epoch(train) [72][880/3757] lr: 6.6278e-03 eta: 1 day, 21:03:34 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.8729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2812 loss: 2.2812 2022/07/27 23:11:29 - mmengine - INFO - Epoch(train) [72][900/3757] lr: 6.6278e-03 eta: 1 day, 21:03:26 time: 0.4124 data_time: 0.0164 memory: 17007 grad_norm: 6.7866 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2291 loss: 2.2291 2022/07/27 23:11:37 - mmengine - INFO - Epoch(train) [72][920/3757] lr: 6.6278e-03 eta: 1 day, 21:03:18 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 6.6577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2095 loss: 2.2095 2022/07/27 23:11:45 - mmengine - INFO - Epoch(train) [72][940/3757] lr: 6.6278e-03 eta: 1 day, 21:03:10 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 6.5576 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3757 loss: 2.3757 2022/07/27 23:11:53 - mmengine - INFO - Epoch(train) [72][960/3757] lr: 6.6278e-03 eta: 1 day, 21:03:02 time: 0.3986 data_time: 0.0163 memory: 17007 grad_norm: 6.5059 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2425 loss: 2.2425 2022/07/27 23:12:01 - mmengine - INFO - Epoch(train) [72][980/3757] lr: 6.6278e-03 eta: 1 day, 21:02:54 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 6.6510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1448 loss: 2.1448 2022/07/27 23:12:09 - mmengine - INFO - Epoch(train) [72][1000/3757] lr: 6.6278e-03 eta: 1 day, 21:02:46 time: 0.3982 data_time: 0.0159 memory: 17007 grad_norm: 6.6874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2886 loss: 2.2886 2022/07/27 23:12:17 - mmengine - INFO - Epoch(train) [72][1020/3757] lr: 6.6278e-03 eta: 1 day, 21:02:38 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 6.8921 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0952 loss: 2.0952 2022/07/27 23:12:25 - mmengine - INFO - Epoch(train) [72][1040/3757] lr: 6.6278e-03 eta: 1 day, 21:02:30 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.5379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9479 loss: 1.9479 2022/07/27 23:12:33 - mmengine - INFO - Epoch(train) [72][1060/3757] lr: 6.6278e-03 eta: 1 day, 21:02:23 time: 0.4150 data_time: 0.0166 memory: 17007 grad_norm: 6.7761 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2615 loss: 2.2615 2022/07/27 23:12:41 - mmengine - INFO - Epoch(train) [72][1080/3757] lr: 6.6278e-03 eta: 1 day, 21:02:15 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 7.1017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7584 loss: 2.7584 2022/07/27 23:12:49 - mmengine - INFO - Epoch(train) [72][1100/3757] lr: 6.6278e-03 eta: 1 day, 21:02:07 time: 0.3996 data_time: 0.0173 memory: 17007 grad_norm: 6.6467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9984 loss: 1.9984 2022/07/27 23:12:57 - mmengine - INFO - Epoch(train) [72][1120/3757] lr: 6.6278e-03 eta: 1 day, 21:01:59 time: 0.3922 data_time: 0.0166 memory: 17007 grad_norm: 6.7194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1550 loss: 2.1550 2022/07/27 23:13:05 - mmengine - INFO - Epoch(train) [72][1140/3757] lr: 6.6278e-03 eta: 1 day, 21:01:51 time: 0.3928 data_time: 0.0135 memory: 17007 grad_norm: 6.8963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2332 loss: 2.2332 2022/07/27 23:13:13 - mmengine - INFO - Epoch(train) [72][1160/3757] lr: 6.6278e-03 eta: 1 day, 21:01:43 time: 0.4010 data_time: 0.0165 memory: 17007 grad_norm: 6.4029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0526 loss: 2.0526 2022/07/27 23:13:21 - mmengine - INFO - Epoch(train) [72][1180/3757] lr: 6.6278e-03 eta: 1 day, 21:01:35 time: 0.3930 data_time: 0.0141 memory: 17007 grad_norm: 6.4422 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1700 loss: 2.1700 2022/07/27 23:13:29 - mmengine - INFO - Epoch(train) [72][1200/3757] lr: 6.6278e-03 eta: 1 day, 21:01:27 time: 0.3981 data_time: 0.0168 memory: 17007 grad_norm: 6.3237 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3927 loss: 2.3927 2022/07/27 23:13:36 - mmengine - INFO - Epoch(train) [72][1220/3757] lr: 6.6278e-03 eta: 1 day, 21:01:19 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.7801 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0585 loss: 2.0585 2022/07/27 23:13:44 - mmengine - INFO - Epoch(train) [72][1240/3757] lr: 6.6278e-03 eta: 1 day, 21:01:11 time: 0.3930 data_time: 0.0153 memory: 17007 grad_norm: 6.5109 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0596 loss: 2.0596 2022/07/27 23:13:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:13:53 - mmengine - INFO - Epoch(train) [72][1260/3757] lr: 6.6278e-03 eta: 1 day, 21:01:03 time: 0.4124 data_time: 0.0153 memory: 17007 grad_norm: 6.6364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1890 loss: 2.1890 2022/07/27 23:14:00 - mmengine - INFO - Epoch(train) [72][1280/3757] lr: 6.6278e-03 eta: 1 day, 21:00:55 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 6.8044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1865 loss: 2.1865 2022/07/27 23:14:08 - mmengine - INFO - Epoch(train) [72][1300/3757] lr: 6.6278e-03 eta: 1 day, 21:00:47 time: 0.3952 data_time: 0.0163 memory: 17007 grad_norm: 6.4892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0599 loss: 2.0599 2022/07/27 23:14:16 - mmengine - INFO - Epoch(train) [72][1320/3757] lr: 6.6278e-03 eta: 1 day, 21:00:39 time: 0.3929 data_time: 0.0158 memory: 17007 grad_norm: 6.3589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2057 loss: 2.2057 2022/07/27 23:14:24 - mmengine - INFO - Epoch(train) [72][1340/3757] lr: 6.6278e-03 eta: 1 day, 21:00:31 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 6.9644 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3477 loss: 2.3477 2022/07/27 23:14:32 - mmengine - INFO - Epoch(train) [72][1360/3757] lr: 6.6278e-03 eta: 1 day, 21:00:23 time: 0.3999 data_time: 0.0159 memory: 17007 grad_norm: 6.5531 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0426 loss: 2.0426 2022/07/27 23:14:40 - mmengine - INFO - Epoch(train) [72][1380/3757] lr: 6.6278e-03 eta: 1 day, 21:00:15 time: 0.3921 data_time: 0.0138 memory: 17007 grad_norm: 6.7031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0321 loss: 2.0321 2022/07/27 23:14:48 - mmengine - INFO - Epoch(train) [72][1400/3757] lr: 6.6278e-03 eta: 1 day, 21:00:07 time: 0.3988 data_time: 0.0164 memory: 17007 grad_norm: 6.5960 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1972 loss: 2.1972 2022/07/27 23:14:56 - mmengine - INFO - Epoch(train) [72][1420/3757] lr: 6.6278e-03 eta: 1 day, 20:59:59 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 6.7685 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2430 loss: 2.2430 2022/07/27 23:15:04 - mmengine - INFO - Epoch(train) [72][1440/3757] lr: 6.6278e-03 eta: 1 day, 20:59:51 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.8412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3884 loss: 2.3884 2022/07/27 23:15:12 - mmengine - INFO - Epoch(train) [72][1460/3757] lr: 6.6278e-03 eta: 1 day, 20:59:43 time: 0.3993 data_time: 0.0155 memory: 17007 grad_norm: 6.5766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0727 loss: 2.0727 2022/07/27 23:15:19 - mmengine - INFO - Epoch(train) [72][1480/3757] lr: 6.6278e-03 eta: 1 day, 20:59:35 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 6.4039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1457 loss: 2.1457 2022/07/27 23:15:27 - mmengine - INFO - Epoch(train) [72][1500/3757] lr: 6.6278e-03 eta: 1 day, 20:59:27 time: 0.3972 data_time: 0.0148 memory: 17007 grad_norm: 6.6002 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8724 loss: 1.8724 2022/07/27 23:15:35 - mmengine - INFO - Epoch(train) [72][1520/3757] lr: 6.6278e-03 eta: 1 day, 20:59:20 time: 0.4017 data_time: 0.0164 memory: 17007 grad_norm: 6.4694 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2852 loss: 2.2852 2022/07/27 23:15:43 - mmengine - INFO - Epoch(train) [72][1540/3757] lr: 6.6278e-03 eta: 1 day, 20:59:12 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 6.7030 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0071 loss: 2.0071 2022/07/27 23:15:52 - mmengine - INFO - Epoch(train) [72][1560/3757] lr: 6.6278e-03 eta: 1 day, 20:59:04 time: 0.4087 data_time: 0.0191 memory: 17007 grad_norm: 6.6335 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0725 loss: 2.0725 2022/07/27 23:15:59 - mmengine - INFO - Epoch(train) [72][1580/3757] lr: 6.6278e-03 eta: 1 day, 20:58:56 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 6.5056 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1302 loss: 2.1302 2022/07/27 23:16:07 - mmengine - INFO - Epoch(train) [72][1600/3757] lr: 6.6278e-03 eta: 1 day, 20:58:48 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 6.6308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3506 loss: 2.3506 2022/07/27 23:16:15 - mmengine - INFO - Epoch(train) [72][1620/3757] lr: 6.6278e-03 eta: 1 day, 20:58:40 time: 0.4028 data_time: 0.0212 memory: 17007 grad_norm: 6.3940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0755 loss: 2.0755 2022/07/27 23:16:23 - mmengine - INFO - Epoch(train) [72][1640/3757] lr: 6.6278e-03 eta: 1 day, 20:58:32 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 6.4451 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1193 loss: 2.1193 2022/07/27 23:16:32 - mmengine - INFO - Epoch(train) [72][1660/3757] lr: 6.6278e-03 eta: 1 day, 20:58:25 time: 0.4223 data_time: 0.0170 memory: 17007 grad_norm: 6.7601 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1058 loss: 2.1058 2022/07/27 23:16:40 - mmengine - INFO - Epoch(train) [72][1680/3757] lr: 6.6278e-03 eta: 1 day, 20:58:17 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 6.7587 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3180 loss: 2.3180 2022/07/27 23:16:48 - mmengine - INFO - Epoch(train) [72][1700/3757] lr: 6.6278e-03 eta: 1 day, 20:58:09 time: 0.4009 data_time: 0.0146 memory: 17007 grad_norm: 6.8561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7471 loss: 1.7471 2022/07/27 23:16:56 - mmengine - INFO - Epoch(train) [72][1720/3757] lr: 6.6278e-03 eta: 1 day, 20:58:01 time: 0.4086 data_time: 0.0164 memory: 17007 grad_norm: 6.4748 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1241 loss: 2.1241 2022/07/27 23:17:04 - mmengine - INFO - Epoch(train) [72][1740/3757] lr: 6.6278e-03 eta: 1 day, 20:57:53 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 6.8002 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0962 loss: 2.0962 2022/07/27 23:17:12 - mmengine - INFO - Epoch(train) [72][1760/3757] lr: 6.6278e-03 eta: 1 day, 20:57:46 time: 0.4008 data_time: 0.0162 memory: 17007 grad_norm: 6.8562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9783 loss: 1.9783 2022/07/27 23:17:20 - mmengine - INFO - Epoch(train) [72][1780/3757] lr: 6.6278e-03 eta: 1 day, 20:57:38 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 6.6704 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4102 loss: 2.4102 2022/07/27 23:17:27 - mmengine - INFO - Epoch(train) [72][1800/3757] lr: 6.6278e-03 eta: 1 day, 20:57:30 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 6.5159 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3762 loss: 2.3762 2022/07/27 23:17:36 - mmengine - INFO - Epoch(train) [72][1820/3757] lr: 6.6278e-03 eta: 1 day, 20:57:22 time: 0.4036 data_time: 0.0148 memory: 17007 grad_norm: 6.6539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3200 loss: 2.3200 2022/07/27 23:17:44 - mmengine - INFO - Epoch(train) [72][1840/3757] lr: 6.6278e-03 eta: 1 day, 20:57:14 time: 0.3984 data_time: 0.0187 memory: 17007 grad_norm: 6.7410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0040 loss: 2.0040 2022/07/27 23:17:51 - mmengine - INFO - Epoch(train) [72][1860/3757] lr: 6.6278e-03 eta: 1 day, 20:57:06 time: 0.3970 data_time: 0.0152 memory: 17007 grad_norm: 6.7460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1666 loss: 2.1666 2022/07/27 23:17:59 - mmengine - INFO - Epoch(train) [72][1880/3757] lr: 6.6278e-03 eta: 1 day, 20:56:58 time: 0.3946 data_time: 0.0162 memory: 17007 grad_norm: 6.8556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3732 loss: 2.3732 2022/07/27 23:18:07 - mmengine - INFO - Epoch(train) [72][1900/3757] lr: 6.6278e-03 eta: 1 day, 20:56:50 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.7396 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3573 loss: 2.3573 2022/07/27 23:18:15 - mmengine - INFO - Epoch(train) [72][1920/3757] lr: 6.6278e-03 eta: 1 day, 20:56:42 time: 0.4012 data_time: 0.0160 memory: 17007 grad_norm: 6.5341 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0934 loss: 2.0934 2022/07/27 23:18:23 - mmengine - INFO - Epoch(train) [72][1940/3757] lr: 6.6278e-03 eta: 1 day, 20:56:34 time: 0.3962 data_time: 0.0149 memory: 17007 grad_norm: 6.8890 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2570 loss: 2.2570 2022/07/27 23:18:31 - mmengine - INFO - Epoch(train) [72][1960/3757] lr: 6.6278e-03 eta: 1 day, 20:56:26 time: 0.4064 data_time: 0.0162 memory: 17007 grad_norm: 6.5169 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0446 loss: 2.0446 2022/07/27 23:18:39 - mmengine - INFO - Epoch(train) [72][1980/3757] lr: 6.6278e-03 eta: 1 day, 20:56:18 time: 0.3947 data_time: 0.0162 memory: 17007 grad_norm: 6.3668 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1990 loss: 2.1990 2022/07/27 23:18:47 - mmengine - INFO - Epoch(train) [72][2000/3757] lr: 6.6278e-03 eta: 1 day, 20:56:10 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 6.7198 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3102 loss: 2.3102 2022/07/27 23:18:55 - mmengine - INFO - Epoch(train) [72][2020/3757] lr: 6.6278e-03 eta: 1 day, 20:56:03 time: 0.3987 data_time: 0.0152 memory: 17007 grad_norm: 6.6513 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1186 loss: 2.1186 2022/07/27 23:19:03 - mmengine - INFO - Epoch(train) [72][2040/3757] lr: 6.6278e-03 eta: 1 day, 20:55:55 time: 0.3961 data_time: 0.0159 memory: 17007 grad_norm: 6.7189 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1185 loss: 2.1185 2022/07/27 23:19:11 - mmengine - INFO - Epoch(train) [72][2060/3757] lr: 6.6278e-03 eta: 1 day, 20:55:47 time: 0.4101 data_time: 0.0155 memory: 17007 grad_norm: 6.6954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0677 loss: 2.0677 2022/07/27 23:19:19 - mmengine - INFO - Epoch(train) [72][2080/3757] lr: 6.6278e-03 eta: 1 day, 20:55:39 time: 0.3966 data_time: 0.0185 memory: 17007 grad_norm: 6.4205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9109 loss: 1.9109 2022/07/27 23:19:27 - mmengine - INFO - Epoch(train) [72][2100/3757] lr: 6.6278e-03 eta: 1 day, 20:55:31 time: 0.3920 data_time: 0.0124 memory: 17007 grad_norm: 6.5049 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4500 loss: 2.4500 2022/07/27 23:19:35 - mmengine - INFO - Epoch(train) [72][2120/3757] lr: 6.6278e-03 eta: 1 day, 20:55:23 time: 0.3988 data_time: 0.0165 memory: 17007 grad_norm: 6.7993 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1015 loss: 2.1015 2022/07/27 23:19:43 - mmengine - INFO - Epoch(train) [72][2140/3757] lr: 6.6278e-03 eta: 1 day, 20:55:15 time: 0.3925 data_time: 0.0154 memory: 17007 grad_norm: 6.7852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2327 loss: 2.2327 2022/07/27 23:19:51 - mmengine - INFO - Epoch(train) [72][2160/3757] lr: 6.6278e-03 eta: 1 day, 20:55:07 time: 0.4038 data_time: 0.0163 memory: 17007 grad_norm: 6.7265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2365 loss: 2.2365 2022/07/27 23:19:59 - mmengine - INFO - Epoch(train) [72][2180/3757] lr: 6.6278e-03 eta: 1 day, 20:54:59 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 6.8498 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1787 loss: 2.1787 2022/07/27 23:20:07 - mmengine - INFO - Epoch(train) [72][2200/3757] lr: 6.6278e-03 eta: 1 day, 20:54:51 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 7.1229 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3884 loss: 2.3884 2022/07/27 23:20:15 - mmengine - INFO - Epoch(train) [72][2220/3757] lr: 6.6278e-03 eta: 1 day, 20:54:44 time: 0.4068 data_time: 0.0129 memory: 17007 grad_norm: 6.7693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4392 loss: 2.4392 2022/07/27 23:20:23 - mmengine - INFO - Epoch(train) [72][2240/3757] lr: 6.6278e-03 eta: 1 day, 20:54:36 time: 0.3938 data_time: 0.0172 memory: 17007 grad_norm: 6.7279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3315 loss: 2.3315 2022/07/27 23:20:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:20:31 - mmengine - INFO - Epoch(train) [72][2260/3757] lr: 6.6278e-03 eta: 1 day, 20:54:28 time: 0.4043 data_time: 0.0166 memory: 17007 grad_norm: 6.7045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3671 loss: 2.3671 2022/07/27 23:20:39 - mmengine - INFO - Epoch(train) [72][2280/3757] lr: 6.6278e-03 eta: 1 day, 20:54:20 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 6.9546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1832 loss: 2.1832 2022/07/27 23:20:47 - mmengine - INFO - Epoch(train) [72][2300/3757] lr: 6.6278e-03 eta: 1 day, 20:54:12 time: 0.3923 data_time: 0.0149 memory: 17007 grad_norm: 6.9264 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8703 loss: 1.8703 2022/07/27 23:20:55 - mmengine - INFO - Epoch(train) [72][2320/3757] lr: 6.6278e-03 eta: 1 day, 20:54:04 time: 0.4148 data_time: 0.0165 memory: 17007 grad_norm: 6.4655 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1873 loss: 2.1873 2022/07/27 23:21:03 - mmengine - INFO - Epoch(train) [72][2340/3757] lr: 6.6278e-03 eta: 1 day, 20:53:56 time: 0.3949 data_time: 0.0161 memory: 17007 grad_norm: 6.5019 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2565 loss: 2.2565 2022/07/27 23:21:11 - mmengine - INFO - Epoch(train) [72][2360/3757] lr: 6.6278e-03 eta: 1 day, 20:53:49 time: 0.4077 data_time: 0.0158 memory: 17007 grad_norm: 6.5182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1766 loss: 2.1766 2022/07/27 23:21:19 - mmengine - INFO - Epoch(train) [72][2380/3757] lr: 6.6278e-03 eta: 1 day, 20:53:41 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 6.8005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3210 loss: 2.3210 2022/07/27 23:21:27 - mmengine - INFO - Epoch(train) [72][2400/3757] lr: 6.6278e-03 eta: 1 day, 20:53:33 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 6.4002 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1442 loss: 2.1442 2022/07/27 23:21:35 - mmengine - INFO - Epoch(train) [72][2420/3757] lr: 6.6278e-03 eta: 1 day, 20:53:25 time: 0.4158 data_time: 0.0160 memory: 17007 grad_norm: 6.6980 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0542 loss: 2.0542 2022/07/27 23:21:43 - mmengine - INFO - Epoch(train) [72][2440/3757] lr: 6.6278e-03 eta: 1 day, 20:53:17 time: 0.3952 data_time: 0.0165 memory: 17007 grad_norm: 6.6958 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3349 loss: 2.3349 2022/07/27 23:21:51 - mmengine - INFO - Epoch(train) [72][2460/3757] lr: 6.6278e-03 eta: 1 day, 20:53:10 time: 0.4136 data_time: 0.0148 memory: 17007 grad_norm: 6.5288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8021 loss: 1.8021 2022/07/27 23:21:59 - mmengine - INFO - Epoch(train) [72][2480/3757] lr: 6.6278e-03 eta: 1 day, 20:53:02 time: 0.3956 data_time: 0.0165 memory: 17007 grad_norm: 6.9059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1465 loss: 2.1465 2022/07/27 23:22:07 - mmengine - INFO - Epoch(train) [72][2500/3757] lr: 6.6278e-03 eta: 1 day, 20:52:54 time: 0.3921 data_time: 0.0145 memory: 17007 grad_norm: 6.7471 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4810 loss: 2.4810 2022/07/27 23:22:15 - mmengine - INFO - Epoch(train) [72][2520/3757] lr: 6.6278e-03 eta: 1 day, 20:52:46 time: 0.4010 data_time: 0.0167 memory: 17007 grad_norm: 6.7300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3963 loss: 2.3963 2022/07/27 23:22:23 - mmengine - INFO - Epoch(train) [72][2540/3757] lr: 6.6278e-03 eta: 1 day, 20:52:38 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 6.7747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1698 loss: 2.1698 2022/07/27 23:22:31 - mmengine - INFO - Epoch(train) [72][2560/3757] lr: 6.6278e-03 eta: 1 day, 20:52:30 time: 0.4069 data_time: 0.0157 memory: 17007 grad_norm: 6.5603 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9191 loss: 1.9191 2022/07/27 23:22:39 - mmengine - INFO - Epoch(train) [72][2580/3757] lr: 6.6278e-03 eta: 1 day, 20:52:22 time: 0.3938 data_time: 0.0145 memory: 17007 grad_norm: 6.5016 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9251 loss: 1.9251 2022/07/27 23:22:47 - mmengine - INFO - Epoch(train) [72][2600/3757] lr: 6.6278e-03 eta: 1 day, 20:52:14 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 6.6628 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9208 loss: 1.9208 2022/07/27 23:22:55 - mmengine - INFO - Epoch(train) [72][2620/3757] lr: 6.6278e-03 eta: 1 day, 20:52:06 time: 0.4028 data_time: 0.0156 memory: 17007 grad_norm: 6.4614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9091 loss: 1.9091 2022/07/27 23:23:03 - mmengine - INFO - Epoch(train) [72][2640/3757] lr: 6.6278e-03 eta: 1 day, 20:51:58 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 6.6163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1904 loss: 2.1904 2022/07/27 23:23:11 - mmengine - INFO - Epoch(train) [72][2660/3757] lr: 6.6278e-03 eta: 1 day, 20:51:51 time: 0.4017 data_time: 0.0152 memory: 17007 grad_norm: 6.8353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2223 loss: 2.2223 2022/07/27 23:23:19 - mmengine - INFO - Epoch(train) [72][2680/3757] lr: 6.6278e-03 eta: 1 day, 20:51:43 time: 0.3968 data_time: 0.0180 memory: 17007 grad_norm: 7.1119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3551 loss: 2.3551 2022/07/27 23:23:27 - mmengine - INFO - Epoch(train) [72][2700/3757] lr: 6.6278e-03 eta: 1 day, 20:51:35 time: 0.3934 data_time: 0.0150 memory: 17007 grad_norm: 6.7280 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3601 loss: 2.3601 2022/07/27 23:23:35 - mmengine - INFO - Epoch(train) [72][2720/3757] lr: 6.6278e-03 eta: 1 day, 20:51:28 time: 0.4240 data_time: 0.0164 memory: 17007 grad_norm: 6.4862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1947 loss: 2.1947 2022/07/27 23:23:43 - mmengine - INFO - Epoch(train) [72][2740/3757] lr: 6.6278e-03 eta: 1 day, 20:51:20 time: 0.3964 data_time: 0.0181 memory: 17007 grad_norm: 6.9774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5150 loss: 2.5150 2022/07/27 23:23:51 - mmengine - INFO - Epoch(train) [72][2760/3757] lr: 6.6278e-03 eta: 1 day, 20:51:12 time: 0.4060 data_time: 0.0165 memory: 17007 grad_norm: 6.6753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1703 loss: 2.1703 2022/07/27 23:23:59 - mmengine - INFO - Epoch(train) [72][2780/3757] lr: 6.6278e-03 eta: 1 day, 20:51:04 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 7.1055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2590 loss: 2.2590 2022/07/27 23:24:07 - mmengine - INFO - Epoch(train) [72][2800/3757] lr: 6.6278e-03 eta: 1 day, 20:50:56 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 6.6149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2488 loss: 2.2488 2022/07/27 23:24:15 - mmengine - INFO - Epoch(train) [72][2820/3757] lr: 6.6278e-03 eta: 1 day, 20:50:49 time: 0.4172 data_time: 0.0159 memory: 17007 grad_norm: 6.8850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0393 loss: 2.0393 2022/07/27 23:24:23 - mmengine - INFO - Epoch(train) [72][2840/3757] lr: 6.6278e-03 eta: 1 day, 20:50:41 time: 0.3990 data_time: 0.0167 memory: 17007 grad_norm: 6.8868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3658 loss: 2.3658 2022/07/27 23:24:31 - mmengine - INFO - Epoch(train) [72][2860/3757] lr: 6.6278e-03 eta: 1 day, 20:50:33 time: 0.3930 data_time: 0.0145 memory: 17007 grad_norm: 6.9906 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2987 loss: 2.2987 2022/07/27 23:24:39 - mmengine - INFO - Epoch(train) [72][2880/3757] lr: 6.6278e-03 eta: 1 day, 20:50:25 time: 0.3986 data_time: 0.0165 memory: 17007 grad_norm: 6.5773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8700 loss: 1.8700 2022/07/27 23:24:47 - mmengine - INFO - Epoch(train) [72][2900/3757] lr: 6.6278e-03 eta: 1 day, 20:50:17 time: 0.3916 data_time: 0.0145 memory: 17007 grad_norm: 7.0050 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2311 loss: 2.2311 2022/07/27 23:24:55 - mmengine - INFO - Epoch(train) [72][2920/3757] lr: 6.6278e-03 eta: 1 day, 20:50:09 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 6.9164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2399 loss: 2.2399 2022/07/27 23:25:03 - mmengine - INFO - Epoch(train) [72][2940/3757] lr: 6.6278e-03 eta: 1 day, 20:50:01 time: 0.4020 data_time: 0.0151 memory: 17007 grad_norm: 6.6323 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0582 loss: 2.0582 2022/07/27 23:25:11 - mmengine - INFO - Epoch(train) [72][2960/3757] lr: 6.6278e-03 eta: 1 day, 20:49:53 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 6.6835 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2374 loss: 2.2374 2022/07/27 23:25:19 - mmengine - INFO - Epoch(train) [72][2980/3757] lr: 6.6278e-03 eta: 1 day, 20:49:45 time: 0.3974 data_time: 0.0173 memory: 17007 grad_norm: 6.7132 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5263 loss: 2.5263 2022/07/27 23:25:27 - mmengine - INFO - Epoch(train) [72][3000/3757] lr: 6.6278e-03 eta: 1 day, 20:49:37 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 6.7395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8105 loss: 1.8105 2022/07/27 23:25:35 - mmengine - INFO - Epoch(train) [72][3020/3757] lr: 6.6278e-03 eta: 1 day, 20:49:29 time: 0.3916 data_time: 0.0142 memory: 17007 grad_norm: 6.6373 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4485 loss: 2.4485 2022/07/27 23:25:43 - mmengine - INFO - Epoch(train) [72][3040/3757] lr: 6.6278e-03 eta: 1 day, 20:49:21 time: 0.4058 data_time: 0.0162 memory: 17007 grad_norm: 6.5105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1579 loss: 2.1579 2022/07/27 23:25:51 - mmengine - INFO - Epoch(train) [72][3060/3757] lr: 6.6278e-03 eta: 1 day, 20:49:13 time: 0.3933 data_time: 0.0137 memory: 17007 grad_norm: 6.5949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3242 loss: 2.3242 2022/07/27 23:25:58 - mmengine - INFO - Epoch(train) [72][3080/3757] lr: 6.6278e-03 eta: 1 day, 20:49:05 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 6.8322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1143 loss: 2.1143 2022/07/27 23:26:07 - mmengine - INFO - Epoch(train) [72][3100/3757] lr: 6.6278e-03 eta: 1 day, 20:48:57 time: 0.4014 data_time: 0.0140 memory: 17007 grad_norm: 6.7161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5417 loss: 2.5417 2022/07/27 23:26:14 - mmengine - INFO - Epoch(train) [72][3120/3757] lr: 6.6278e-03 eta: 1 day, 20:48:49 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 6.5590 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1596 loss: 2.1596 2022/07/27 23:26:23 - mmengine - INFO - Epoch(train) [72][3140/3757] lr: 6.6278e-03 eta: 1 day, 20:48:42 time: 0.4154 data_time: 0.0178 memory: 17007 grad_norm: 6.5500 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9946 loss: 1.9946 2022/07/27 23:26:31 - mmengine - INFO - Epoch(train) [72][3160/3757] lr: 6.6278e-03 eta: 1 day, 20:48:34 time: 0.3968 data_time: 0.0151 memory: 17007 grad_norm: 6.5158 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4563 loss: 2.4563 2022/07/27 23:26:39 - mmengine - INFO - Epoch(train) [72][3180/3757] lr: 6.6278e-03 eta: 1 day, 20:48:26 time: 0.4013 data_time: 0.0155 memory: 17007 grad_norm: 6.7945 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9127 loss: 1.9127 2022/07/27 23:26:47 - mmengine - INFO - Epoch(train) [72][3200/3757] lr: 6.6278e-03 eta: 1 day, 20:48:18 time: 0.3976 data_time: 0.0158 memory: 17007 grad_norm: 6.4433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1394 loss: 2.1394 2022/07/27 23:26:55 - mmengine - INFO - Epoch(train) [72][3220/3757] lr: 6.6278e-03 eta: 1 day, 20:48:10 time: 0.3922 data_time: 0.0146 memory: 17007 grad_norm: 6.6784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0125 loss: 2.0125 2022/07/27 23:27:03 - mmengine - INFO - Epoch(train) [72][3240/3757] lr: 6.6278e-03 eta: 1 day, 20:48:03 time: 0.4143 data_time: 0.0181 memory: 17007 grad_norm: 6.6104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8046 loss: 1.8046 2022/07/27 23:27:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:27:11 - mmengine - INFO - Epoch(train) [72][3260/3757] lr: 6.6278e-03 eta: 1 day, 20:47:55 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 6.7038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1858 loss: 2.1858 2022/07/27 23:27:19 - mmengine - INFO - Epoch(train) [72][3280/3757] lr: 6.6278e-03 eta: 1 day, 20:47:47 time: 0.3952 data_time: 0.0170 memory: 17007 grad_norm: 6.5109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1486 loss: 2.1486 2022/07/27 23:27:27 - mmengine - INFO - Epoch(train) [72][3300/3757] lr: 6.6278e-03 eta: 1 day, 20:47:39 time: 0.3977 data_time: 0.0135 memory: 17007 grad_norm: 6.6442 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9308 loss: 1.9308 2022/07/27 23:27:34 - mmengine - INFO - Epoch(train) [72][3320/3757] lr: 6.6278e-03 eta: 1 day, 20:47:31 time: 0.3930 data_time: 0.0148 memory: 17007 grad_norm: 6.6615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9873 loss: 1.9873 2022/07/27 23:27:42 - mmengine - INFO - Epoch(train) [72][3340/3757] lr: 6.6278e-03 eta: 1 day, 20:47:23 time: 0.4025 data_time: 0.0166 memory: 17007 grad_norm: 6.8250 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3445 loss: 2.3445 2022/07/27 23:27:50 - mmengine - INFO - Epoch(train) [72][3360/3757] lr: 6.6278e-03 eta: 1 day, 20:47:15 time: 0.3946 data_time: 0.0161 memory: 17007 grad_norm: 6.6957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3025 loss: 2.3025 2022/07/27 23:27:58 - mmengine - INFO - Epoch(train) [72][3380/3757] lr: 6.6278e-03 eta: 1 day, 20:47:07 time: 0.3942 data_time: 0.0162 memory: 17007 grad_norm: 6.6472 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1264 loss: 2.1264 2022/07/27 23:28:07 - mmengine - INFO - Epoch(train) [72][3400/3757] lr: 6.6278e-03 eta: 1 day, 20:46:59 time: 0.4115 data_time: 0.0164 memory: 17007 grad_norm: 6.7640 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1880 loss: 2.1880 2022/07/27 23:28:14 - mmengine - INFO - Epoch(train) [72][3420/3757] lr: 6.6278e-03 eta: 1 day, 20:46:51 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.5165 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1419 loss: 2.1419 2022/07/27 23:28:23 - mmengine - INFO - Epoch(train) [72][3440/3757] lr: 6.6278e-03 eta: 1 day, 20:46:44 time: 0.4198 data_time: 0.0183 memory: 17007 grad_norm: 6.6423 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1732 loss: 2.1732 2022/07/27 23:28:31 - mmengine - INFO - Epoch(train) [72][3460/3757] lr: 6.6278e-03 eta: 1 day, 20:46:36 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 6.5702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9901 loss: 1.9901 2022/07/27 23:28:39 - mmengine - INFO - Epoch(train) [72][3480/3757] lr: 6.6278e-03 eta: 1 day, 20:46:28 time: 0.3936 data_time: 0.0172 memory: 17007 grad_norm: 6.4171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9959 loss: 1.9959 2022/07/27 23:28:47 - mmengine - INFO - Epoch(train) [72][3500/3757] lr: 6.6278e-03 eta: 1 day, 20:46:20 time: 0.4076 data_time: 0.0165 memory: 17007 grad_norm: 6.5551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1379 loss: 2.1379 2022/07/27 23:28:55 - mmengine - INFO - Epoch(train) [72][3520/3757] lr: 6.6278e-03 eta: 1 day, 20:46:12 time: 0.3950 data_time: 0.0166 memory: 17007 grad_norm: 6.6704 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3951 loss: 2.3951 2022/07/27 23:29:03 - mmengine - INFO - Epoch(train) [72][3540/3757] lr: 6.6278e-03 eta: 1 day, 20:46:05 time: 0.4078 data_time: 0.0165 memory: 17007 grad_norm: 6.6892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2305 loss: 2.2305 2022/07/27 23:29:11 - mmengine - INFO - Epoch(train) [72][3560/3757] lr: 6.6278e-03 eta: 1 day, 20:45:57 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 6.4001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1394 loss: 2.1394 2022/07/27 23:29:19 - mmengine - INFO - Epoch(train) [72][3580/3757] lr: 6.6278e-03 eta: 1 day, 20:45:48 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 6.7568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1004 loss: 2.1004 2022/07/27 23:29:27 - mmengine - INFO - Epoch(train) [72][3600/3757] lr: 6.6278e-03 eta: 1 day, 20:45:41 time: 0.4133 data_time: 0.0272 memory: 17007 grad_norm: 6.2858 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8536 loss: 1.8536 2022/07/27 23:29:35 - mmengine - INFO - Epoch(train) [72][3620/3757] lr: 6.6278e-03 eta: 1 day, 20:45:33 time: 0.3930 data_time: 0.0150 memory: 17007 grad_norm: 6.6776 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0213 loss: 2.0213 2022/07/27 23:29:43 - mmengine - INFO - Epoch(train) [72][3640/3757] lr: 6.6278e-03 eta: 1 day, 20:45:25 time: 0.4090 data_time: 0.0189 memory: 17007 grad_norm: 6.5847 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1323 loss: 2.1323 2022/07/27 23:29:51 - mmengine - INFO - Epoch(train) [72][3660/3757] lr: 6.6278e-03 eta: 1 day, 20:45:17 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 6.8316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2785 loss: 2.2785 2022/07/27 23:29:59 - mmengine - INFO - Epoch(train) [72][3680/3757] lr: 6.6278e-03 eta: 1 day, 20:45:09 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 6.3846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0575 loss: 2.0575 2022/07/27 23:30:07 - mmengine - INFO - Epoch(train) [72][3700/3757] lr: 6.6278e-03 eta: 1 day, 20:45:02 time: 0.4126 data_time: 0.0203 memory: 17007 grad_norm: 6.6149 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2211 loss: 2.2211 2022/07/27 23:30:15 - mmengine - INFO - Epoch(train) [72][3720/3757] lr: 6.6278e-03 eta: 1 day, 20:44:54 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 6.7405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4315 loss: 2.4315 2022/07/27 23:30:23 - mmengine - INFO - Epoch(train) [72][3740/3757] lr: 6.6278e-03 eta: 1 day, 20:44:46 time: 0.4044 data_time: 0.0170 memory: 17007 grad_norm: 6.3724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1559 loss: 2.1559 2022/07/27 23:30:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:30:29 - mmengine - INFO - Epoch(train) [72][3757/3757] lr: 6.6278e-03 eta: 1 day, 20:44:46 time: 0.3912 data_time: 0.0166 memory: 17007 grad_norm: 6.5634 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0173 loss: 2.0173 2022/07/27 23:30:30 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/07/27 23:30:40 - mmengine - INFO - Epoch(train) [73][20/3757] lr: 6.5451e-03 eta: 1 day, 20:44:23 time: 0.4414 data_time: 0.0638 memory: 17007 grad_norm: 6.4632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9807 loss: 1.9807 2022/07/27 23:30:48 - mmengine - INFO - Epoch(train) [73][40/3757] lr: 6.5451e-03 eta: 1 day, 20:44:14 time: 0.3922 data_time: 0.0144 memory: 17007 grad_norm: 6.5505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9047 loss: 1.9047 2022/07/27 23:30:56 - mmengine - INFO - Epoch(train) [73][60/3757] lr: 6.5451e-03 eta: 1 day, 20:44:07 time: 0.4113 data_time: 0.0138 memory: 17007 grad_norm: 6.6352 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1106 loss: 2.1106 2022/07/27 23:31:04 - mmengine - INFO - Epoch(train) [73][80/3757] lr: 6.5451e-03 eta: 1 day, 20:43:59 time: 0.3987 data_time: 0.0191 memory: 17007 grad_norm: 6.7579 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1425 loss: 2.1425 2022/07/27 23:31:12 - mmengine - INFO - Epoch(train) [73][100/3757] lr: 6.5451e-03 eta: 1 day, 20:43:51 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 6.7234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8187 loss: 1.8187 2022/07/27 23:31:20 - mmengine - INFO - Epoch(train) [73][120/3757] lr: 6.5451e-03 eta: 1 day, 20:43:43 time: 0.3984 data_time: 0.0171 memory: 17007 grad_norm: 6.5302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3467 loss: 2.3467 2022/07/27 23:31:28 - mmengine - INFO - Epoch(train) [73][140/3757] lr: 6.5451e-03 eta: 1 day, 20:43:35 time: 0.3921 data_time: 0.0142 memory: 17007 grad_norm: 6.7525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1587 loss: 2.1587 2022/07/27 23:31:36 - mmengine - INFO - Epoch(train) [73][160/3757] lr: 6.5451e-03 eta: 1 day, 20:43:27 time: 0.4042 data_time: 0.0155 memory: 17007 grad_norm: 6.5881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3658 loss: 2.3658 2022/07/27 23:31:44 - mmengine - INFO - Epoch(train) [73][180/3757] lr: 6.5451e-03 eta: 1 day, 20:43:19 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 6.6506 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0692 loss: 2.0692 2022/07/27 23:31:52 - mmengine - INFO - Epoch(train) [73][200/3757] lr: 6.5451e-03 eta: 1 day, 20:43:12 time: 0.4034 data_time: 0.0154 memory: 17007 grad_norm: 6.3135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9909 loss: 1.9909 2022/07/27 23:32:00 - mmengine - INFO - Epoch(train) [73][220/3757] lr: 6.5451e-03 eta: 1 day, 20:43:04 time: 0.3971 data_time: 0.0158 memory: 17007 grad_norm: 6.6602 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4229 loss: 2.4229 2022/07/27 23:32:08 - mmengine - INFO - Epoch(train) [73][240/3757] lr: 6.5451e-03 eta: 1 day, 20:42:56 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 6.5328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1373 loss: 2.1373 2022/07/27 23:32:16 - mmengine - INFO - Epoch(train) [73][260/3757] lr: 6.5451e-03 eta: 1 day, 20:42:48 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 6.7924 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2265 loss: 2.2265 2022/07/27 23:32:24 - mmengine - INFO - Epoch(train) [73][280/3757] lr: 6.5451e-03 eta: 1 day, 20:42:40 time: 0.3952 data_time: 0.0163 memory: 17007 grad_norm: 6.5958 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2323 loss: 2.2323 2022/07/27 23:32:32 - mmengine - INFO - Epoch(train) [73][300/3757] lr: 6.5451e-03 eta: 1 day, 20:42:32 time: 0.3986 data_time: 0.0123 memory: 17007 grad_norm: 6.8526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7492 loss: 1.7492 2022/07/27 23:32:40 - mmengine - INFO - Epoch(train) [73][320/3757] lr: 6.5451e-03 eta: 1 day, 20:42:24 time: 0.3976 data_time: 0.0181 memory: 17007 grad_norm: 6.6495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0008 loss: 2.0008 2022/07/27 23:32:48 - mmengine - INFO - Epoch(train) [73][340/3757] lr: 6.5451e-03 eta: 1 day, 20:42:16 time: 0.3921 data_time: 0.0142 memory: 17007 grad_norm: 6.9198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1887 loss: 2.1887 2022/07/27 23:32:56 - mmengine - INFO - Epoch(train) [73][360/3757] lr: 6.5451e-03 eta: 1 day, 20:42:08 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 6.8057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4167 loss: 2.4167 2022/07/27 23:33:03 - mmengine - INFO - Epoch(train) [73][380/3757] lr: 6.5451e-03 eta: 1 day, 20:42:00 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 6.6979 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2794 loss: 2.2794 2022/07/27 23:33:12 - mmengine - INFO - Epoch(train) [73][400/3757] lr: 6.5451e-03 eta: 1 day, 20:41:52 time: 0.4127 data_time: 0.0154 memory: 17007 grad_norm: 6.6544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1178 loss: 2.1178 2022/07/27 23:33:20 - mmengine - INFO - Epoch(train) [73][420/3757] lr: 6.5451e-03 eta: 1 day, 20:41:44 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 6.8690 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2564 loss: 2.2564 2022/07/27 23:33:28 - mmengine - INFO - Epoch(train) [73][440/3757] lr: 6.5451e-03 eta: 1 day, 20:41:36 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 7.1485 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1047 loss: 2.1047 2022/07/27 23:33:36 - mmengine - INFO - Epoch(train) [73][460/3757] lr: 6.5451e-03 eta: 1 day, 20:41:29 time: 0.4042 data_time: 0.0134 memory: 17007 grad_norm: 6.9932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9536 loss: 1.9536 2022/07/27 23:33:44 - mmengine - INFO - Epoch(train) [73][480/3757] lr: 6.5451e-03 eta: 1 day, 20:41:21 time: 0.3963 data_time: 0.0152 memory: 17007 grad_norm: 7.5981 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8846 loss: 1.8846 2022/07/27 23:33:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:33:52 - mmengine - INFO - Epoch(train) [73][500/3757] lr: 6.5451e-03 eta: 1 day, 20:41:13 time: 0.4027 data_time: 0.0154 memory: 17007 grad_norm: 6.6404 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9411 loss: 1.9411 2022/07/27 23:34:00 - mmengine - INFO - Epoch(train) [73][520/3757] lr: 6.5451e-03 eta: 1 day, 20:41:05 time: 0.3988 data_time: 0.0176 memory: 17007 grad_norm: 6.6055 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1812 loss: 2.1812 2022/07/27 23:34:07 - mmengine - INFO - Epoch(train) [73][540/3757] lr: 6.5451e-03 eta: 1 day, 20:40:57 time: 0.3907 data_time: 0.0139 memory: 17007 grad_norm: 7.1012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2096 loss: 2.2096 2022/07/27 23:34:15 - mmengine - INFO - Epoch(train) [73][560/3757] lr: 6.5451e-03 eta: 1 day, 20:40:49 time: 0.3941 data_time: 0.0147 memory: 17007 grad_norm: 6.6191 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8580 loss: 1.8580 2022/07/27 23:34:23 - mmengine - INFO - Epoch(train) [73][580/3757] lr: 6.5451e-03 eta: 1 day, 20:40:41 time: 0.3956 data_time: 0.0156 memory: 17007 grad_norm: 6.7633 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1686 loss: 2.1686 2022/07/27 23:34:31 - mmengine - INFO - Epoch(train) [73][600/3757] lr: 6.5451e-03 eta: 1 day, 20:40:33 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 6.7069 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0689 loss: 2.0689 2022/07/27 23:34:39 - mmengine - INFO - Epoch(train) [73][620/3757] lr: 6.5451e-03 eta: 1 day, 20:40:25 time: 0.3936 data_time: 0.0152 memory: 17007 grad_norm: 6.7876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4201 loss: 2.4201 2022/07/27 23:34:47 - mmengine - INFO - Epoch(train) [73][640/3757] lr: 6.5451e-03 eta: 1 day, 20:40:17 time: 0.4015 data_time: 0.0207 memory: 17007 grad_norm: 7.0249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1539 loss: 2.1539 2022/07/27 23:34:55 - mmengine - INFO - Epoch(train) [73][660/3757] lr: 6.5451e-03 eta: 1 day, 20:40:09 time: 0.3971 data_time: 0.0142 memory: 17007 grad_norm: 6.7648 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2082 loss: 2.2082 2022/07/27 23:35:03 - mmengine - INFO - Epoch(train) [73][680/3757] lr: 6.5451e-03 eta: 1 day, 20:40:01 time: 0.3983 data_time: 0.0167 memory: 17007 grad_norm: 6.7166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9814 loss: 1.9814 2022/07/27 23:35:11 - mmengine - INFO - Epoch(train) [73][700/3757] lr: 6.5451e-03 eta: 1 day, 20:39:53 time: 0.3953 data_time: 0.0142 memory: 17007 grad_norm: 6.9941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0507 loss: 2.0507 2022/07/27 23:35:19 - mmengine - INFO - Epoch(train) [73][720/3757] lr: 6.5451e-03 eta: 1 day, 20:39:45 time: 0.3950 data_time: 0.0164 memory: 17007 grad_norm: 6.7115 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9630 loss: 1.9630 2022/07/27 23:35:27 - mmengine - INFO - Epoch(train) [73][740/3757] lr: 6.5451e-03 eta: 1 day, 20:39:37 time: 0.3957 data_time: 0.0151 memory: 17007 grad_norm: 6.8926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8833 loss: 1.8833 2022/07/27 23:35:35 - mmengine - INFO - Epoch(train) [73][760/3757] lr: 6.5451e-03 eta: 1 day, 20:39:29 time: 0.4039 data_time: 0.0163 memory: 17007 grad_norm: 7.0561 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0866 loss: 2.0866 2022/07/27 23:35:43 - mmengine - INFO - Epoch(train) [73][780/3757] lr: 6.5451e-03 eta: 1 day, 20:39:22 time: 0.3972 data_time: 0.0163 memory: 17007 grad_norm: 7.0011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7938 loss: 1.7938 2022/07/27 23:35:51 - mmengine - INFO - Epoch(train) [73][800/3757] lr: 6.5451e-03 eta: 1 day, 20:39:14 time: 0.4025 data_time: 0.0151 memory: 17007 grad_norm: 6.5463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1340 loss: 2.1340 2022/07/27 23:35:59 - mmengine - INFO - Epoch(train) [73][820/3757] lr: 6.5451e-03 eta: 1 day, 20:39:06 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 6.7294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5879 loss: 2.5879 2022/07/27 23:36:07 - mmengine - INFO - Epoch(train) [73][840/3757] lr: 6.5451e-03 eta: 1 day, 20:38:58 time: 0.3996 data_time: 0.0163 memory: 17007 grad_norm: 6.6583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0688 loss: 2.0688 2022/07/27 23:36:15 - mmengine - INFO - Epoch(train) [73][860/3757] lr: 6.5451e-03 eta: 1 day, 20:38:50 time: 0.4000 data_time: 0.0144 memory: 17007 grad_norm: 6.6801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2831 loss: 2.2831 2022/07/27 23:36:23 - mmengine - INFO - Epoch(train) [73][880/3757] lr: 6.5451e-03 eta: 1 day, 20:38:42 time: 0.3968 data_time: 0.0162 memory: 17007 grad_norm: 6.8765 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8777 loss: 1.8777 2022/07/27 23:36:31 - mmengine - INFO - Epoch(train) [73][900/3757] lr: 6.5451e-03 eta: 1 day, 20:38:34 time: 0.3934 data_time: 0.0143 memory: 17007 grad_norm: 6.7836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2253 loss: 2.2253 2022/07/27 23:36:38 - mmengine - INFO - Epoch(train) [73][920/3757] lr: 6.5451e-03 eta: 1 day, 20:38:26 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 6.6309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2805 loss: 2.2805 2022/07/27 23:36:46 - mmengine - INFO - Epoch(train) [73][940/3757] lr: 6.5451e-03 eta: 1 day, 20:38:18 time: 0.3969 data_time: 0.0150 memory: 17007 grad_norm: 6.9832 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3817 loss: 2.3817 2022/07/27 23:36:54 - mmengine - INFO - Epoch(train) [73][960/3757] lr: 6.5451e-03 eta: 1 day, 20:38:10 time: 0.3979 data_time: 0.0187 memory: 17007 grad_norm: 6.6108 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.7488 loss: 1.7488 2022/07/27 23:37:02 - mmengine - INFO - Epoch(train) [73][980/3757] lr: 6.5451e-03 eta: 1 day, 20:38:02 time: 0.4017 data_time: 0.0147 memory: 17007 grad_norm: 6.5421 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2694 loss: 2.2694 2022/07/27 23:37:10 - mmengine - INFO - Epoch(train) [73][1000/3757] lr: 6.5451e-03 eta: 1 day, 20:37:54 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 6.8129 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1416 loss: 2.1416 2022/07/27 23:37:18 - mmengine - INFO - Epoch(train) [73][1020/3757] lr: 6.5451e-03 eta: 1 day, 20:37:46 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 7.1182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5349 loss: 2.5349 2022/07/27 23:37:27 - mmengine - INFO - Epoch(train) [73][1040/3757] lr: 6.5451e-03 eta: 1 day, 20:37:40 time: 0.4492 data_time: 0.0165 memory: 17007 grad_norm: 7.0177 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3504 loss: 2.3504 2022/07/27 23:37:35 - mmengine - INFO - Epoch(train) [73][1060/3757] lr: 6.5451e-03 eta: 1 day, 20:37:32 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 6.7522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9408 loss: 1.9408 2022/07/27 23:37:44 - mmengine - INFO - Epoch(train) [73][1080/3757] lr: 6.5451e-03 eta: 1 day, 20:37:25 time: 0.4279 data_time: 0.0185 memory: 17007 grad_norm: 6.6093 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9836 loss: 1.9836 2022/07/27 23:37:52 - mmengine - INFO - Epoch(train) [73][1100/3757] lr: 6.5451e-03 eta: 1 day, 20:37:17 time: 0.3935 data_time: 0.0141 memory: 17007 grad_norm: 6.3894 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9125 loss: 1.9125 2022/07/27 23:37:59 - mmengine - INFO - Epoch(train) [73][1120/3757] lr: 6.5451e-03 eta: 1 day, 20:37:09 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 6.7342 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9918 loss: 1.9918 2022/07/27 23:38:07 - mmengine - INFO - Epoch(train) [73][1140/3757] lr: 6.5451e-03 eta: 1 day, 20:37:01 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 6.6836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1788 loss: 2.1788 2022/07/27 23:38:15 - mmengine - INFO - Epoch(train) [73][1160/3757] lr: 6.5451e-03 eta: 1 day, 20:36:53 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 7.0303 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5531 loss: 2.5531 2022/07/27 23:38:23 - mmengine - INFO - Epoch(train) [73][1180/3757] lr: 6.5451e-03 eta: 1 day, 20:36:45 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 6.4890 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3950 loss: 2.3950 2022/07/27 23:38:31 - mmengine - INFO - Epoch(train) [73][1200/3757] lr: 6.5451e-03 eta: 1 day, 20:36:37 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 6.9216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9718 loss: 1.9718 2022/07/27 23:38:39 - mmengine - INFO - Epoch(train) [73][1220/3757] lr: 6.5451e-03 eta: 1 day, 20:36:29 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 6.4299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0936 loss: 2.0936 2022/07/27 23:38:47 - mmengine - INFO - Epoch(train) [73][1240/3757] lr: 6.5451e-03 eta: 1 day, 20:36:21 time: 0.4004 data_time: 0.0162 memory: 17007 grad_norm: 6.6965 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4176 loss: 2.4176 2022/07/27 23:38:55 - mmengine - INFO - Epoch(train) [73][1260/3757] lr: 6.5451e-03 eta: 1 day, 20:36:13 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 6.7879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2158 loss: 2.2158 2022/07/27 23:39:03 - mmengine - INFO - Epoch(train) [73][1280/3757] lr: 6.5451e-03 eta: 1 day, 20:36:05 time: 0.3988 data_time: 0.0165 memory: 17007 grad_norm: 6.6200 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3858 loss: 2.3858 2022/07/27 23:39:11 - mmengine - INFO - Epoch(train) [73][1300/3757] lr: 6.5451e-03 eta: 1 day, 20:35:57 time: 0.3957 data_time: 0.0149 memory: 17007 grad_norm: 6.6935 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0563 loss: 2.0563 2022/07/27 23:39:19 - mmengine - INFO - Epoch(train) [73][1320/3757] lr: 6.5451e-03 eta: 1 day, 20:35:49 time: 0.3950 data_time: 0.0165 memory: 17007 grad_norm: 6.7046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0435 loss: 2.0435 2022/07/27 23:39:27 - mmengine - INFO - Epoch(train) [73][1340/3757] lr: 6.5451e-03 eta: 1 day, 20:35:41 time: 0.3987 data_time: 0.0151 memory: 17007 grad_norm: 6.5215 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0398 loss: 2.0398 2022/07/27 23:39:34 - mmengine - INFO - Epoch(train) [73][1360/3757] lr: 6.5451e-03 eta: 1 day, 20:35:33 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 6.8541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2637 loss: 2.2637 2022/07/27 23:39:42 - mmengine - INFO - Epoch(train) [73][1380/3757] lr: 6.5451e-03 eta: 1 day, 20:35:25 time: 0.3958 data_time: 0.0145 memory: 17007 grad_norm: 6.5360 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0933 loss: 2.0933 2022/07/27 23:39:50 - mmengine - INFO - Epoch(train) [73][1400/3757] lr: 6.5451e-03 eta: 1 day, 20:35:17 time: 0.3956 data_time: 0.0156 memory: 17007 grad_norm: 6.6153 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1919 loss: 2.1919 2022/07/27 23:39:58 - mmengine - INFO - Epoch(train) [73][1420/3757] lr: 6.5451e-03 eta: 1 day, 20:35:09 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 6.6179 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1197 loss: 2.1197 2022/07/27 23:40:06 - mmengine - INFO - Epoch(train) [73][1440/3757] lr: 6.5451e-03 eta: 1 day, 20:35:01 time: 0.4046 data_time: 0.0158 memory: 17007 grad_norm: 6.7794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0234 loss: 2.0234 2022/07/27 23:40:14 - mmengine - INFO - Epoch(train) [73][1460/3757] lr: 6.5451e-03 eta: 1 day, 20:34:53 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 6.8964 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1493 loss: 2.1493 2022/07/27 23:40:23 - mmengine - INFO - Epoch(train) [73][1480/3757] lr: 6.5451e-03 eta: 1 day, 20:34:46 time: 0.4211 data_time: 0.0168 memory: 17007 grad_norm: 6.8912 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3437 loss: 2.3437 2022/07/27 23:40:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:40:30 - mmengine - INFO - Epoch(train) [73][1500/3757] lr: 6.5451e-03 eta: 1 day, 20:34:38 time: 0.3935 data_time: 0.0142 memory: 17007 grad_norm: 6.9291 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3490 loss: 2.3490 2022/07/27 23:40:38 - mmengine - INFO - Epoch(train) [73][1520/3757] lr: 6.5451e-03 eta: 1 day, 20:34:30 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 6.7099 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2180 loss: 2.2180 2022/07/27 23:40:47 - mmengine - INFO - Epoch(train) [73][1540/3757] lr: 6.5451e-03 eta: 1 day, 20:34:23 time: 0.4155 data_time: 0.0157 memory: 17007 grad_norm: 6.5998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1579 loss: 2.1579 2022/07/27 23:40:55 - mmengine - INFO - Epoch(train) [73][1560/3757] lr: 6.5451e-03 eta: 1 day, 20:34:15 time: 0.3983 data_time: 0.0166 memory: 17007 grad_norm: 6.6840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0123 loss: 2.0123 2022/07/27 23:41:03 - mmengine - INFO - Epoch(train) [73][1580/3757] lr: 6.5451e-03 eta: 1 day, 20:34:07 time: 0.4043 data_time: 0.0150 memory: 17007 grad_norm: 6.8848 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9505 loss: 1.9505 2022/07/27 23:41:11 - mmengine - INFO - Epoch(train) [73][1600/3757] lr: 6.5451e-03 eta: 1 day, 20:33:59 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 6.6696 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2792 loss: 2.2792 2022/07/27 23:41:18 - mmengine - INFO - Epoch(train) [73][1620/3757] lr: 6.5451e-03 eta: 1 day, 20:33:51 time: 0.3922 data_time: 0.0141 memory: 17007 grad_norm: 6.8396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1356 loss: 2.1356 2022/07/27 23:41:27 - mmengine - INFO - Epoch(train) [73][1640/3757] lr: 6.5451e-03 eta: 1 day, 20:33:43 time: 0.4004 data_time: 0.0152 memory: 17007 grad_norm: 6.6573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0762 loss: 2.0762 2022/07/27 23:41:34 - mmengine - INFO - Epoch(train) [73][1660/3757] lr: 6.5451e-03 eta: 1 day, 20:33:35 time: 0.3954 data_time: 0.0143 memory: 17007 grad_norm: 6.7630 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4017 loss: 2.4017 2022/07/27 23:41:43 - mmengine - INFO - Epoch(train) [73][1680/3757] lr: 6.5451e-03 eta: 1 day, 20:33:27 time: 0.4073 data_time: 0.0167 memory: 17007 grad_norm: 7.0085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9027 loss: 1.9027 2022/07/27 23:41:50 - mmengine - INFO - Epoch(train) [73][1700/3757] lr: 6.5451e-03 eta: 1 day, 20:33:19 time: 0.3943 data_time: 0.0138 memory: 17007 grad_norm: 7.1526 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2283 loss: 2.2283 2022/07/27 23:41:58 - mmengine - INFO - Epoch(train) [73][1720/3757] lr: 6.5451e-03 eta: 1 day, 20:33:11 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 6.9020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0088 loss: 2.0088 2022/07/27 23:42:06 - mmengine - INFO - Epoch(train) [73][1740/3757] lr: 6.5451e-03 eta: 1 day, 20:33:04 time: 0.4020 data_time: 0.0146 memory: 17007 grad_norm: 6.8910 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4090 loss: 2.4090 2022/07/27 23:42:14 - mmengine - INFO - Epoch(train) [73][1760/3757] lr: 6.5451e-03 eta: 1 day, 20:32:56 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 6.8613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2361 loss: 2.2361 2022/07/27 23:42:22 - mmengine - INFO - Epoch(train) [73][1780/3757] lr: 6.5451e-03 eta: 1 day, 20:32:48 time: 0.4024 data_time: 0.0157 memory: 17007 grad_norm: 6.4769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8786 loss: 1.8786 2022/07/27 23:42:30 - mmengine - INFO - Epoch(train) [73][1800/3757] lr: 6.5451e-03 eta: 1 day, 20:32:40 time: 0.3961 data_time: 0.0159 memory: 17007 grad_norm: 6.5730 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8366 loss: 1.8366 2022/07/27 23:42:38 - mmengine - INFO - Epoch(train) [73][1820/3757] lr: 6.5451e-03 eta: 1 day, 20:32:32 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 6.7420 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0581 loss: 2.0581 2022/07/27 23:42:46 - mmengine - INFO - Epoch(train) [73][1840/3757] lr: 6.5451e-03 eta: 1 day, 20:32:24 time: 0.4056 data_time: 0.0154 memory: 17007 grad_norm: 6.5346 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9687 loss: 1.9687 2022/07/27 23:42:54 - mmengine - INFO - Epoch(train) [73][1860/3757] lr: 6.5451e-03 eta: 1 day, 20:32:16 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 6.7907 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3664 loss: 2.3664 2022/07/27 23:43:02 - mmengine - INFO - Epoch(train) [73][1880/3757] lr: 6.5451e-03 eta: 1 day, 20:32:08 time: 0.4023 data_time: 0.0164 memory: 17007 grad_norm: 6.8775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0124 loss: 2.0124 2022/07/27 23:43:10 - mmengine - INFO - Epoch(train) [73][1900/3757] lr: 6.5451e-03 eta: 1 day, 20:32:00 time: 0.3940 data_time: 0.0138 memory: 17007 grad_norm: 6.9055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2261 loss: 2.2261 2022/07/27 23:43:18 - mmengine - INFO - Epoch(train) [73][1920/3757] lr: 6.5451e-03 eta: 1 day, 20:31:52 time: 0.3954 data_time: 0.0169 memory: 17007 grad_norm: 6.5951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0282 loss: 2.0282 2022/07/27 23:43:26 - mmengine - INFO - Epoch(train) [73][1940/3757] lr: 6.5451e-03 eta: 1 day, 20:31:45 time: 0.4029 data_time: 0.0137 memory: 17007 grad_norm: 6.9221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2253 loss: 2.2253 2022/07/27 23:43:34 - mmengine - INFO - Epoch(train) [73][1960/3757] lr: 6.5451e-03 eta: 1 day, 20:31:37 time: 0.3967 data_time: 0.0165 memory: 17007 grad_norm: 6.8211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2719 loss: 2.2719 2022/07/27 23:43:42 - mmengine - INFO - Epoch(train) [73][1980/3757] lr: 6.5451e-03 eta: 1 day, 20:31:29 time: 0.3935 data_time: 0.0140 memory: 17007 grad_norm: 6.8476 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4052 loss: 2.4052 2022/07/27 23:43:50 - mmengine - INFO - Epoch(train) [73][2000/3757] lr: 6.5451e-03 eta: 1 day, 20:31:20 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 6.7935 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2846 loss: 2.2846 2022/07/27 23:43:58 - mmengine - INFO - Epoch(train) [73][2020/3757] lr: 6.5451e-03 eta: 1 day, 20:31:13 time: 0.3977 data_time: 0.0171 memory: 17007 grad_norm: 6.8565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9500 loss: 1.9500 2022/07/27 23:44:09 - mmengine - INFO - Epoch(train) [73][2040/3757] lr: 6.5451e-03 eta: 1 day, 20:31:10 time: 0.5855 data_time: 0.0165 memory: 17007 grad_norm: 6.8893 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2250 loss: 2.2250 2022/07/27 23:44:22 - mmengine - INFO - Epoch(train) [73][2060/3757] lr: 6.5451e-03 eta: 1 day, 20:31:09 time: 0.6257 data_time: 0.0188 memory: 17007 grad_norm: 6.7626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9845 loss: 1.9845 2022/07/27 23:44:32 - mmengine - INFO - Epoch(train) [73][2080/3757] lr: 6.5451e-03 eta: 1 day, 20:31:04 time: 0.5051 data_time: 0.1185 memory: 17007 grad_norm: 6.6316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4194 loss: 2.4194 2022/07/27 23:44:45 - mmengine - INFO - Epoch(train) [73][2100/3757] lr: 6.5451e-03 eta: 1 day, 20:31:04 time: 0.6528 data_time: 0.0126 memory: 17007 grad_norm: 6.5845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0283 loss: 2.0283 2022/07/27 23:44:56 - mmengine - INFO - Epoch(train) [73][2120/3757] lr: 6.5451e-03 eta: 1 day, 20:31:00 time: 0.5330 data_time: 0.0163 memory: 17007 grad_norm: 6.7034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3655 loss: 2.3655 2022/07/27 23:45:07 - mmengine - INFO - Epoch(train) [73][2140/3757] lr: 6.5451e-03 eta: 1 day, 20:30:57 time: 0.5585 data_time: 0.0152 memory: 17007 grad_norm: 6.7723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1477 loss: 2.1477 2022/07/27 23:45:21 - mmengine - INFO - Epoch(train) [73][2160/3757] lr: 6.5451e-03 eta: 1 day, 20:30:59 time: 0.7223 data_time: 0.0253 memory: 17007 grad_norm: 6.9342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4241 loss: 2.4241 2022/07/27 23:45:32 - mmengine - INFO - Epoch(train) [73][2180/3757] lr: 6.5451e-03 eta: 1 day, 20:30:55 time: 0.5437 data_time: 0.0153 memory: 17007 grad_norm: 6.8600 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1322 loss: 2.1322 2022/07/27 23:45:40 - mmengine - INFO - Epoch(train) [73][2200/3757] lr: 6.5451e-03 eta: 1 day, 20:30:47 time: 0.3967 data_time: 0.0145 memory: 17007 grad_norm: 6.6666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1741 loss: 2.1741 2022/07/27 23:45:48 - mmengine - INFO - Epoch(train) [73][2220/3757] lr: 6.5451e-03 eta: 1 day, 20:30:39 time: 0.3954 data_time: 0.0128 memory: 17007 grad_norm: 6.6071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8523 loss: 1.8523 2022/07/27 23:45:56 - mmengine - INFO - Epoch(train) [73][2240/3757] lr: 6.5451e-03 eta: 1 day, 20:30:31 time: 0.3974 data_time: 0.0164 memory: 17007 grad_norm: 6.5247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0786 loss: 2.0786 2022/07/27 23:46:04 - mmengine - INFO - Epoch(train) [73][2260/3757] lr: 6.5451e-03 eta: 1 day, 20:30:23 time: 0.4035 data_time: 0.0149 memory: 17007 grad_norm: 6.8770 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3340 loss: 2.3340 2022/07/27 23:46:12 - mmengine - INFO - Epoch(train) [73][2280/3757] lr: 6.5451e-03 eta: 1 day, 20:30:15 time: 0.3943 data_time: 0.0162 memory: 17007 grad_norm: 6.7932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3757 loss: 2.3757 2022/07/27 23:46:20 - mmengine - INFO - Epoch(train) [73][2300/3757] lr: 6.5451e-03 eta: 1 day, 20:30:07 time: 0.3913 data_time: 0.0136 memory: 17007 grad_norm: 6.8519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1784 loss: 2.1784 2022/07/27 23:46:28 - mmengine - INFO - Epoch(train) [73][2320/3757] lr: 6.5451e-03 eta: 1 day, 20:29:59 time: 0.4005 data_time: 0.0163 memory: 17007 grad_norm: 6.7067 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0818 loss: 2.0818 2022/07/27 23:46:36 - mmengine - INFO - Epoch(train) [73][2340/3757] lr: 6.5451e-03 eta: 1 day, 20:29:51 time: 0.3938 data_time: 0.0135 memory: 17007 grad_norm: 6.6132 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0334 loss: 2.0334 2022/07/27 23:46:44 - mmengine - INFO - Epoch(train) [73][2360/3757] lr: 6.5451e-03 eta: 1 day, 20:29:43 time: 0.3993 data_time: 0.0164 memory: 17007 grad_norm: 6.8909 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0411 loss: 2.0411 2022/07/27 23:46:52 - mmengine - INFO - Epoch(train) [73][2380/3757] lr: 6.5451e-03 eta: 1 day, 20:29:36 time: 0.4006 data_time: 0.0145 memory: 17007 grad_norm: 6.5258 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2321 loss: 2.2321 2022/07/27 23:47:00 - mmengine - INFO - Epoch(train) [73][2400/3757] lr: 6.5451e-03 eta: 1 day, 20:29:28 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 6.5985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1147 loss: 2.1147 2022/07/27 23:47:08 - mmengine - INFO - Epoch(train) [73][2420/3757] lr: 6.5451e-03 eta: 1 day, 20:29:20 time: 0.4056 data_time: 0.0136 memory: 17007 grad_norm: 6.6088 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1954 loss: 2.1954 2022/07/27 23:47:16 - mmengine - INFO - Epoch(train) [73][2440/3757] lr: 6.5451e-03 eta: 1 day, 20:29:12 time: 0.3952 data_time: 0.0168 memory: 17007 grad_norm: 6.6270 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4265 loss: 2.4265 2022/07/27 23:47:24 - mmengine - INFO - Epoch(train) [73][2460/3757] lr: 6.5451e-03 eta: 1 day, 20:29:04 time: 0.3971 data_time: 0.0142 memory: 17007 grad_norm: 6.8134 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1827 loss: 2.1827 2022/07/27 23:47:32 - mmengine - INFO - Epoch(train) [73][2480/3757] lr: 6.5451e-03 eta: 1 day, 20:28:56 time: 0.4082 data_time: 0.0180 memory: 17007 grad_norm: 6.6669 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1806 loss: 2.1806 2022/07/27 23:47:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:47:40 - mmengine - INFO - Epoch(train) [73][2500/3757] lr: 6.5451e-03 eta: 1 day, 20:28:48 time: 0.3921 data_time: 0.0143 memory: 17007 grad_norm: 6.7912 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2929 loss: 2.2929 2022/07/27 23:47:48 - mmengine - INFO - Epoch(train) [73][2520/3757] lr: 6.5451e-03 eta: 1 day, 20:28:41 time: 0.4104 data_time: 0.0156 memory: 17007 grad_norm: 6.8566 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0558 loss: 2.0558 2022/07/27 23:47:56 - mmengine - INFO - Epoch(train) [73][2540/3757] lr: 6.5451e-03 eta: 1 day, 20:28:33 time: 0.4063 data_time: 0.0144 memory: 17007 grad_norm: 6.8916 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2837 loss: 2.2837 2022/07/27 23:48:04 - mmengine - INFO - Epoch(train) [73][2560/3757] lr: 6.5451e-03 eta: 1 day, 20:28:25 time: 0.3996 data_time: 0.0160 memory: 17007 grad_norm: 6.9387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3131 loss: 2.3131 2022/07/27 23:48:12 - mmengine - INFO - Epoch(train) [73][2580/3757] lr: 6.5451e-03 eta: 1 day, 20:28:17 time: 0.4001 data_time: 0.0156 memory: 17007 grad_norm: 6.9486 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3318 loss: 2.3318 2022/07/27 23:48:20 - mmengine - INFO - Epoch(train) [73][2600/3757] lr: 6.5451e-03 eta: 1 day, 20:28:09 time: 0.3928 data_time: 0.0149 memory: 17007 grad_norm: 7.1680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1698 loss: 2.1698 2022/07/27 23:48:28 - mmengine - INFO - Epoch(train) [73][2620/3757] lr: 6.5451e-03 eta: 1 day, 20:28:01 time: 0.3921 data_time: 0.0138 memory: 17007 grad_norm: 6.8188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1336 loss: 2.1336 2022/07/27 23:48:36 - mmengine - INFO - Epoch(train) [73][2640/3757] lr: 6.5451e-03 eta: 1 day, 20:27:53 time: 0.4050 data_time: 0.0171 memory: 17007 grad_norm: 6.7836 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9291 loss: 1.9291 2022/07/27 23:48:44 - mmengine - INFO - Epoch(train) [73][2660/3757] lr: 6.5451e-03 eta: 1 day, 20:27:45 time: 0.3966 data_time: 0.0150 memory: 17007 grad_norm: 6.7285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9973 loss: 1.9973 2022/07/27 23:48:52 - mmengine - INFO - Epoch(train) [73][2680/3757] lr: 6.5451e-03 eta: 1 day, 20:27:38 time: 0.4060 data_time: 0.0163 memory: 17007 grad_norm: 7.0340 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1255 loss: 2.1255 2022/07/27 23:49:00 - mmengine - INFO - Epoch(train) [73][2700/3757] lr: 6.5451e-03 eta: 1 day, 20:27:30 time: 0.3916 data_time: 0.0142 memory: 17007 grad_norm: 7.0996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9791 loss: 1.9791 2022/07/27 23:49:08 - mmengine - INFO - Epoch(train) [73][2720/3757] lr: 6.5451e-03 eta: 1 day, 20:27:22 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 6.9248 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4514 loss: 2.4514 2022/07/27 23:49:16 - mmengine - INFO - Epoch(train) [73][2740/3757] lr: 6.5451e-03 eta: 1 day, 20:27:15 time: 0.4252 data_time: 0.0161 memory: 17007 grad_norm: 6.8408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1499 loss: 2.1499 2022/07/27 23:49:24 - mmengine - INFO - Epoch(train) [73][2760/3757] lr: 6.5451e-03 eta: 1 day, 20:27:07 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 6.6535 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2528 loss: 2.2528 2022/07/27 23:49:32 - mmengine - INFO - Epoch(train) [73][2780/3757] lr: 6.5451e-03 eta: 1 day, 20:26:59 time: 0.3971 data_time: 0.0145 memory: 17007 grad_norm: 6.6500 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2433 loss: 2.2433 2022/07/27 23:49:40 - mmengine - INFO - Epoch(train) [73][2800/3757] lr: 6.5451e-03 eta: 1 day, 20:26:51 time: 0.3926 data_time: 0.0157 memory: 17007 grad_norm: 7.0970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0289 loss: 2.0289 2022/07/27 23:49:48 - mmengine - INFO - Epoch(train) [73][2820/3757] lr: 6.5451e-03 eta: 1 day, 20:26:43 time: 0.3977 data_time: 0.0148 memory: 17007 grad_norm: 6.9099 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2018 loss: 2.2018 2022/07/27 23:49:56 - mmengine - INFO - Epoch(train) [73][2840/3757] lr: 6.5451e-03 eta: 1 day, 20:26:35 time: 0.4096 data_time: 0.0154 memory: 17007 grad_norm: 6.7923 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0093 loss: 2.0093 2022/07/27 23:50:04 - mmengine - INFO - Epoch(train) [73][2860/3757] lr: 6.5451e-03 eta: 1 day, 20:26:27 time: 0.4032 data_time: 0.0148 memory: 17007 grad_norm: 6.7488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2181 loss: 2.2181 2022/07/27 23:50:12 - mmengine - INFO - Epoch(train) [73][2880/3757] lr: 6.5451e-03 eta: 1 day, 20:26:19 time: 0.3946 data_time: 0.0185 memory: 17007 grad_norm: 6.7301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2418 loss: 2.2418 2022/07/27 23:50:20 - mmengine - INFO - Epoch(train) [73][2900/3757] lr: 6.5451e-03 eta: 1 day, 20:26:11 time: 0.3926 data_time: 0.0143 memory: 17007 grad_norm: 6.8604 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1074 loss: 2.1074 2022/07/27 23:50:28 - mmengine - INFO - Epoch(train) [73][2920/3757] lr: 6.5451e-03 eta: 1 day, 20:26:03 time: 0.3976 data_time: 0.0176 memory: 17007 grad_norm: 7.0835 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0955 loss: 2.0955 2022/07/27 23:50:36 - mmengine - INFO - Epoch(train) [73][2940/3757] lr: 6.5451e-03 eta: 1 day, 20:25:55 time: 0.3979 data_time: 0.0148 memory: 17007 grad_norm: 6.7211 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0789 loss: 2.0789 2022/07/27 23:50:44 - mmengine - INFO - Epoch(train) [73][2960/3757] lr: 6.5451e-03 eta: 1 day, 20:25:48 time: 0.4037 data_time: 0.0181 memory: 17007 grad_norm: 6.7891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7711 loss: 1.7711 2022/07/27 23:50:52 - mmengine - INFO - Epoch(train) [73][2980/3757] lr: 6.5451e-03 eta: 1 day, 20:25:40 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 6.7253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2594 loss: 2.2594 2022/07/27 23:51:00 - mmengine - INFO - Epoch(train) [73][3000/3757] lr: 6.5451e-03 eta: 1 day, 20:25:32 time: 0.3947 data_time: 0.0160 memory: 17007 grad_norm: 6.8661 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1688 loss: 2.1688 2022/07/27 23:51:08 - mmengine - INFO - Epoch(train) [73][3020/3757] lr: 6.5451e-03 eta: 1 day, 20:25:24 time: 0.4045 data_time: 0.0152 memory: 17007 grad_norm: 6.7969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2690 loss: 2.2690 2022/07/27 23:51:16 - mmengine - INFO - Epoch(train) [73][3040/3757] lr: 6.5451e-03 eta: 1 day, 20:25:16 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 6.8323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4191 loss: 2.4191 2022/07/27 23:51:24 - mmengine - INFO - Epoch(train) [73][3060/3757] lr: 6.5451e-03 eta: 1 day, 20:25:08 time: 0.4129 data_time: 0.0145 memory: 17007 grad_norm: 6.5435 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1499 loss: 2.1499 2022/07/27 23:51:32 - mmengine - INFO - Epoch(train) [73][3080/3757] lr: 6.5451e-03 eta: 1 day, 20:25:00 time: 0.3989 data_time: 0.0158 memory: 17007 grad_norm: 6.5525 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0307 loss: 2.0307 2022/07/27 23:51:40 - mmengine - INFO - Epoch(train) [73][3100/3757] lr: 6.5451e-03 eta: 1 day, 20:24:52 time: 0.3913 data_time: 0.0135 memory: 17007 grad_norm: 6.7010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2449 loss: 2.2449 2022/07/27 23:51:48 - mmengine - INFO - Epoch(train) [73][3120/3757] lr: 6.5451e-03 eta: 1 day, 20:24:45 time: 0.4069 data_time: 0.0179 memory: 17007 grad_norm: 6.6934 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2580 loss: 2.2580 2022/07/27 23:51:56 - mmengine - INFO - Epoch(train) [73][3140/3757] lr: 6.5451e-03 eta: 1 day, 20:24:37 time: 0.3922 data_time: 0.0128 memory: 17007 grad_norm: 6.9537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9211 loss: 1.9211 2022/07/27 23:52:04 - mmengine - INFO - Epoch(train) [73][3160/3757] lr: 6.5451e-03 eta: 1 day, 20:24:29 time: 0.4102 data_time: 0.0180 memory: 17007 grad_norm: 7.0963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3568 loss: 2.3568 2022/07/27 23:52:12 - mmengine - INFO - Epoch(train) [73][3180/3757] lr: 6.5451e-03 eta: 1 day, 20:24:21 time: 0.3943 data_time: 0.0129 memory: 17007 grad_norm: 6.9735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1372 loss: 2.1372 2022/07/27 23:52:20 - mmengine - INFO - Epoch(train) [73][3200/3757] lr: 6.5451e-03 eta: 1 day, 20:24:13 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 6.8941 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2493 loss: 2.2493 2022/07/27 23:52:28 - mmengine - INFO - Epoch(train) [73][3220/3757] lr: 6.5451e-03 eta: 1 day, 20:24:05 time: 0.3973 data_time: 0.0169 memory: 17007 grad_norm: 6.7807 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1276 loss: 2.1276 2022/07/27 23:52:36 - mmengine - INFO - Epoch(train) [73][3240/3757] lr: 6.5451e-03 eta: 1 day, 20:23:57 time: 0.3943 data_time: 0.0179 memory: 17007 grad_norm: 6.6581 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1183 loss: 2.1183 2022/07/27 23:52:44 - mmengine - INFO - Epoch(train) [73][3260/3757] lr: 6.5451e-03 eta: 1 day, 20:23:49 time: 0.3921 data_time: 0.0133 memory: 17007 grad_norm: 6.4700 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1920 loss: 2.1920 2022/07/27 23:52:52 - mmengine - INFO - Epoch(train) [73][3280/3757] lr: 6.5451e-03 eta: 1 day, 20:23:41 time: 0.4050 data_time: 0.0169 memory: 17007 grad_norm: 6.7229 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1144 loss: 2.1144 2022/07/27 23:53:00 - mmengine - INFO - Epoch(train) [73][3300/3757] lr: 6.5451e-03 eta: 1 day, 20:23:33 time: 0.3909 data_time: 0.0139 memory: 17007 grad_norm: 6.6858 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8215 loss: 1.8215 2022/07/27 23:53:07 - mmengine - INFO - Epoch(train) [73][3320/3757] lr: 6.5451e-03 eta: 1 day, 20:23:25 time: 0.3968 data_time: 0.0163 memory: 17007 grad_norm: 6.7121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0372 loss: 2.0372 2022/07/27 23:53:16 - mmengine - INFO - Epoch(train) [73][3340/3757] lr: 6.5451e-03 eta: 1 day, 20:23:17 time: 0.4033 data_time: 0.0135 memory: 17007 grad_norm: 6.5076 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8992 loss: 1.8992 2022/07/27 23:53:24 - mmengine - INFO - Epoch(train) [73][3360/3757] lr: 6.5451e-03 eta: 1 day, 20:23:10 time: 0.3986 data_time: 0.0175 memory: 17007 grad_norm: 6.6928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7610 loss: 1.7610 2022/07/27 23:53:32 - mmengine - INFO - Epoch(train) [73][3380/3757] lr: 6.5451e-03 eta: 1 day, 20:23:02 time: 0.3990 data_time: 0.0138 memory: 17007 grad_norm: 6.9824 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1194 loss: 2.1194 2022/07/27 23:53:39 - mmengine - INFO - Epoch(train) [73][3400/3757] lr: 6.5451e-03 eta: 1 day, 20:22:54 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 6.8788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1293 loss: 2.1293 2022/07/27 23:53:47 - mmengine - INFO - Epoch(train) [73][3420/3757] lr: 6.5451e-03 eta: 1 day, 20:22:46 time: 0.3938 data_time: 0.0142 memory: 17007 grad_norm: 6.6355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0030 loss: 2.0030 2022/07/27 23:53:55 - mmengine - INFO - Epoch(train) [73][3440/3757] lr: 6.5451e-03 eta: 1 day, 20:22:38 time: 0.3959 data_time: 0.0151 memory: 17007 grad_norm: 6.8856 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0209 loss: 2.0209 2022/07/27 23:54:03 - mmengine - INFO - Epoch(train) [73][3460/3757] lr: 6.5451e-03 eta: 1 day, 20:22:30 time: 0.3967 data_time: 0.0153 memory: 17007 grad_norm: 6.6985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4307 loss: 2.4307 2022/07/27 23:54:11 - mmengine - INFO - Epoch(train) [73][3480/3757] lr: 6.5451e-03 eta: 1 day, 20:22:22 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 6.6060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3708 loss: 2.3708 2022/07/27 23:54:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:54:19 - mmengine - INFO - Epoch(train) [73][3500/3757] lr: 6.5451e-03 eta: 1 day, 20:22:14 time: 0.4007 data_time: 0.0149 memory: 17007 grad_norm: 6.6737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0505 loss: 2.0505 2022/07/27 23:54:27 - mmengine - INFO - Epoch(train) [73][3520/3757] lr: 6.5451e-03 eta: 1 day, 20:22:06 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 6.8581 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3268 loss: 2.3268 2022/07/27 23:54:35 - mmengine - INFO - Epoch(train) [73][3540/3757] lr: 6.5451e-03 eta: 1 day, 20:21:58 time: 0.4136 data_time: 0.0154 memory: 17007 grad_norm: 6.8745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1299 loss: 2.1299 2022/07/27 23:54:43 - mmengine - INFO - Epoch(train) [73][3560/3757] lr: 6.5451e-03 eta: 1 day, 20:21:50 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 6.9170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1481 loss: 2.1481 2022/07/27 23:54:51 - mmengine - INFO - Epoch(train) [73][3580/3757] lr: 6.5451e-03 eta: 1 day, 20:21:42 time: 0.3926 data_time: 0.0139 memory: 17007 grad_norm: 6.5586 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3951 loss: 2.3951 2022/07/27 23:54:59 - mmengine - INFO - Epoch(train) [73][3600/3757] lr: 6.5451e-03 eta: 1 day, 20:21:34 time: 0.3957 data_time: 0.0170 memory: 17007 grad_norm: 6.8629 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2271 loss: 2.2271 2022/07/27 23:55:07 - mmengine - INFO - Epoch(train) [73][3620/3757] lr: 6.5451e-03 eta: 1 day, 20:21:26 time: 0.3929 data_time: 0.0128 memory: 17007 grad_norm: 6.8278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3525 loss: 2.3525 2022/07/27 23:55:15 - mmengine - INFO - Epoch(train) [73][3640/3757] lr: 6.5451e-03 eta: 1 day, 20:21:19 time: 0.4153 data_time: 0.0185 memory: 17007 grad_norm: 6.5946 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2208 loss: 2.2208 2022/07/27 23:55:23 - mmengine - INFO - Epoch(train) [73][3660/3757] lr: 6.5451e-03 eta: 1 day, 20:21:11 time: 0.3929 data_time: 0.0135 memory: 17007 grad_norm: 6.4901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3749 loss: 2.3749 2022/07/27 23:55:31 - mmengine - INFO - Epoch(train) [73][3680/3757] lr: 6.5451e-03 eta: 1 day, 20:21:03 time: 0.4014 data_time: 0.0173 memory: 17007 grad_norm: 6.7153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0648 loss: 2.0648 2022/07/27 23:55:39 - mmengine - INFO - Epoch(train) [73][3700/3757] lr: 6.5451e-03 eta: 1 day, 20:20:55 time: 0.3912 data_time: 0.0143 memory: 17007 grad_norm: 6.8041 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1397 loss: 2.1397 2022/07/27 23:55:47 - mmengine - INFO - Epoch(train) [73][3720/3757] lr: 6.5451e-03 eta: 1 day, 20:20:47 time: 0.3979 data_time: 0.0178 memory: 17007 grad_norm: 6.4302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9969 loss: 1.9969 2022/07/27 23:55:55 - mmengine - INFO - Epoch(train) [73][3740/3757] lr: 6.5451e-03 eta: 1 day, 20:20:39 time: 0.3935 data_time: 0.0143 memory: 17007 grad_norm: 6.7374 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3914 loss: 2.3914 2022/07/27 23:56:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/27 23:56:02 - mmengine - INFO - Epoch(train) [73][3757/3757] lr: 6.5451e-03 eta: 1 day, 20:20:39 time: 0.3984 data_time: 0.0160 memory: 17007 grad_norm: 6.5072 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0456 loss: 2.0456 2022/07/27 23:56:02 - mmengine - INFO - Saving checkpoint at 73 epochs 2022/07/27 23:56:15 - mmengine - INFO - Epoch(train) [74][20/3757] lr: 6.4619e-03 eta: 1 day, 20:20:18 time: 0.5399 data_time: 0.1539 memory: 17007 grad_norm: 6.5404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9513 loss: 1.9513 2022/07/27 23:56:23 - mmengine - INFO - Epoch(train) [74][40/3757] lr: 6.4619e-03 eta: 1 day, 20:20:10 time: 0.3995 data_time: 0.0163 memory: 17007 grad_norm: 6.7724 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4405 loss: 2.4405 2022/07/27 23:56:30 - mmengine - INFO - Epoch(train) [74][60/3757] lr: 6.4619e-03 eta: 1 day, 20:20:02 time: 0.3913 data_time: 0.0132 memory: 17007 grad_norm: 6.5549 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1122 loss: 2.1122 2022/07/27 23:56:39 - mmengine - INFO - Epoch(train) [74][80/3757] lr: 6.4619e-03 eta: 1 day, 20:19:55 time: 0.4099 data_time: 0.0162 memory: 17007 grad_norm: 6.7354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2982 loss: 2.2982 2022/07/27 23:56:46 - mmengine - INFO - Epoch(train) [74][100/3757] lr: 6.4619e-03 eta: 1 day, 20:19:47 time: 0.3928 data_time: 0.0133 memory: 17007 grad_norm: 6.8977 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2147 loss: 2.2147 2022/07/27 23:56:55 - mmengine - INFO - Epoch(train) [74][120/3757] lr: 6.4619e-03 eta: 1 day, 20:19:39 time: 0.4080 data_time: 0.0176 memory: 17007 grad_norm: 6.8832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2587 loss: 2.2587 2022/07/27 23:57:03 - mmengine - INFO - Epoch(train) [74][140/3757] lr: 6.4619e-03 eta: 1 day, 20:19:31 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 6.7227 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2037 loss: 2.2037 2022/07/27 23:57:10 - mmengine - INFO - Epoch(train) [74][160/3757] lr: 6.4619e-03 eta: 1 day, 20:19:23 time: 0.3934 data_time: 0.0150 memory: 17007 grad_norm: 6.8008 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9601 loss: 1.9601 2022/07/27 23:57:18 - mmengine - INFO - Epoch(train) [74][180/3757] lr: 6.4619e-03 eta: 1 day, 20:19:15 time: 0.3923 data_time: 0.0133 memory: 17007 grad_norm: 6.8879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0469 loss: 2.0469 2022/07/27 23:57:26 - mmengine - INFO - Epoch(train) [74][200/3757] lr: 6.4619e-03 eta: 1 day, 20:19:07 time: 0.3999 data_time: 0.0169 memory: 17007 grad_norm: 6.6218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1366 loss: 2.1366 2022/07/27 23:57:34 - mmengine - INFO - Epoch(train) [74][220/3757] lr: 6.4619e-03 eta: 1 day, 20:18:59 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 6.8210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1995 loss: 2.1995 2022/07/27 23:57:42 - mmengine - INFO - Epoch(train) [74][240/3757] lr: 6.4619e-03 eta: 1 day, 20:18:51 time: 0.3964 data_time: 0.0151 memory: 17007 grad_norm: 6.5099 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1747 loss: 2.1747 2022/07/27 23:57:50 - mmengine - INFO - Epoch(train) [74][260/3757] lr: 6.4619e-03 eta: 1 day, 20:18:43 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 6.7273 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9635 loss: 1.9635 2022/07/27 23:57:58 - mmengine - INFO - Epoch(train) [74][280/3757] lr: 6.4619e-03 eta: 1 day, 20:18:35 time: 0.4046 data_time: 0.0168 memory: 17007 grad_norm: 6.9713 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.3158 loss: 2.3158 2022/07/27 23:58:06 - mmengine - INFO - Epoch(train) [74][300/3757] lr: 6.4619e-03 eta: 1 day, 20:18:28 time: 0.4133 data_time: 0.0140 memory: 17007 grad_norm: 6.6301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0621 loss: 2.0621 2022/07/27 23:58:14 - mmengine - INFO - Epoch(train) [74][320/3757] lr: 6.4619e-03 eta: 1 day, 20:18:20 time: 0.3972 data_time: 0.0189 memory: 17007 grad_norm: 6.6187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9960 loss: 1.9960 2022/07/27 23:58:22 - mmengine - INFO - Epoch(train) [74][340/3757] lr: 6.4619e-03 eta: 1 day, 20:18:12 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 6.7713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1535 loss: 2.1535 2022/07/27 23:58:30 - mmengine - INFO - Epoch(train) [74][360/3757] lr: 6.4619e-03 eta: 1 day, 20:18:04 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 6.8187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7547 loss: 1.7547 2022/07/27 23:58:38 - mmengine - INFO - Epoch(train) [74][380/3757] lr: 6.4619e-03 eta: 1 day, 20:17:56 time: 0.4091 data_time: 0.0158 memory: 17007 grad_norm: 6.9761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0919 loss: 2.0919 2022/07/27 23:58:46 - mmengine - INFO - Epoch(train) [74][400/3757] lr: 6.4619e-03 eta: 1 day, 20:17:48 time: 0.4006 data_time: 0.0159 memory: 17007 grad_norm: 6.5900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1367 loss: 2.1367 2022/07/27 23:58:54 - mmengine - INFO - Epoch(train) [74][420/3757] lr: 6.4619e-03 eta: 1 day, 20:17:41 time: 0.3983 data_time: 0.0156 memory: 17007 grad_norm: 6.8614 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9992 loss: 1.9992 2022/07/27 23:59:02 - mmengine - INFO - Epoch(train) [74][440/3757] lr: 6.4619e-03 eta: 1 day, 20:17:33 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.6118 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0718 loss: 2.0718 2022/07/27 23:59:10 - mmengine - INFO - Epoch(train) [74][460/3757] lr: 6.4619e-03 eta: 1 day, 20:17:24 time: 0.3929 data_time: 0.0144 memory: 17007 grad_norm: 6.4181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7893 loss: 1.7893 2022/07/27 23:59:18 - mmengine - INFO - Epoch(train) [74][480/3757] lr: 6.4619e-03 eta: 1 day, 20:17:16 time: 0.3966 data_time: 0.0176 memory: 17007 grad_norm: 6.6563 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8478 loss: 1.8478 2022/07/27 23:59:26 - mmengine - INFO - Epoch(train) [74][500/3757] lr: 6.4619e-03 eta: 1 day, 20:17:09 time: 0.3971 data_time: 0.0153 memory: 17007 grad_norm: 6.4756 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2759 loss: 2.2759 2022/07/27 23:59:34 - mmengine - INFO - Epoch(train) [74][520/3757] lr: 6.4619e-03 eta: 1 day, 20:17:01 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 6.7983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2136 loss: 2.2136 2022/07/27 23:59:42 - mmengine - INFO - Epoch(train) [74][540/3757] lr: 6.4619e-03 eta: 1 day, 20:16:52 time: 0.3928 data_time: 0.0142 memory: 17007 grad_norm: 6.7701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9565 loss: 1.9565 2022/07/27 23:59:50 - mmengine - INFO - Epoch(train) [74][560/3757] lr: 6.4619e-03 eta: 1 day, 20:16:44 time: 0.3966 data_time: 0.0151 memory: 17007 grad_norm: 6.5713 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2842 loss: 2.2842 2022/07/27 23:59:58 - mmengine - INFO - Epoch(train) [74][580/3757] lr: 6.4619e-03 eta: 1 day, 20:16:37 time: 0.4009 data_time: 0.0147 memory: 17007 grad_norm: 6.7713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2427 loss: 2.2427 2022/07/28 00:00:09 - mmengine - INFO - Epoch(train) [74][600/3757] lr: 6.4619e-03 eta: 1 day, 20:16:34 time: 0.5770 data_time: 0.0211 memory: 17007 grad_norm: 6.7517 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0197 loss: 2.0197 2022/07/28 00:00:17 - mmengine - INFO - Epoch(train) [74][620/3757] lr: 6.4619e-03 eta: 1 day, 20:16:26 time: 0.3950 data_time: 0.0164 memory: 17007 grad_norm: 6.6928 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1999 loss: 2.1999 2022/07/28 00:00:25 - mmengine - INFO - Epoch(train) [74][640/3757] lr: 6.4619e-03 eta: 1 day, 20:16:18 time: 0.3994 data_time: 0.0139 memory: 17007 grad_norm: 6.5593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7197 loss: 1.7197 2022/07/28 00:00:33 - mmengine - INFO - Epoch(train) [74][660/3757] lr: 6.4619e-03 eta: 1 day, 20:16:10 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 6.7776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9435 loss: 1.9435 2022/07/28 00:00:41 - mmengine - INFO - Epoch(train) [74][680/3757] lr: 6.4619e-03 eta: 1 day, 20:16:02 time: 0.3928 data_time: 0.0123 memory: 17007 grad_norm: 6.5082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0134 loss: 2.0134 2022/07/28 00:00:49 - mmengine - INFO - Epoch(train) [74][700/3757] lr: 6.4619e-03 eta: 1 day, 20:15:54 time: 0.4043 data_time: 0.0173 memory: 17007 grad_norm: 6.6299 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8501 loss: 1.8501 2022/07/28 00:00:57 - mmengine - INFO - Epoch(train) [74][720/3757] lr: 6.4619e-03 eta: 1 day, 20:15:46 time: 0.3982 data_time: 0.0152 memory: 17007 grad_norm: 6.8694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2521 loss: 2.2521 2022/07/28 00:01:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:01:05 - mmengine - INFO - Epoch(train) [74][740/3757] lr: 6.4619e-03 eta: 1 day, 20:15:38 time: 0.3948 data_time: 0.0155 memory: 17007 grad_norm: 6.6578 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9161 loss: 1.9161 2022/07/28 00:01:13 - mmengine - INFO - Epoch(train) [74][760/3757] lr: 6.4619e-03 eta: 1 day, 20:15:30 time: 0.3971 data_time: 0.0182 memory: 17007 grad_norm: 6.6006 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9318 loss: 1.9318 2022/07/28 00:01:21 - mmengine - INFO - Epoch(train) [74][780/3757] lr: 6.4619e-03 eta: 1 day, 20:15:22 time: 0.3950 data_time: 0.0161 memory: 17007 grad_norm: 6.6473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0164 loss: 2.0164 2022/07/28 00:01:29 - mmengine - INFO - Epoch(train) [74][800/3757] lr: 6.4619e-03 eta: 1 day, 20:15:14 time: 0.3963 data_time: 0.0128 memory: 17007 grad_norm: 6.5336 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0949 loss: 2.0949 2022/07/28 00:01:37 - mmengine - INFO - Epoch(train) [74][820/3757] lr: 6.4619e-03 eta: 1 day, 20:15:07 time: 0.3979 data_time: 0.0184 memory: 17007 grad_norm: 6.6032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9335 loss: 1.9335 2022/07/28 00:01:45 - mmengine - INFO - Epoch(train) [74][840/3757] lr: 6.4619e-03 eta: 1 day, 20:14:59 time: 0.3962 data_time: 0.0142 memory: 17007 grad_norm: 6.7125 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1492 loss: 2.1492 2022/07/28 00:01:52 - mmengine - INFO - Epoch(train) [74][860/3757] lr: 6.4619e-03 eta: 1 day, 20:14:51 time: 0.3962 data_time: 0.0154 memory: 17007 grad_norm: 6.5655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1653 loss: 2.1653 2022/07/28 00:02:00 - mmengine - INFO - Epoch(train) [74][880/3757] lr: 6.4619e-03 eta: 1 day, 20:14:43 time: 0.3924 data_time: 0.0122 memory: 17007 grad_norm: 6.7837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0299 loss: 2.0299 2022/07/28 00:02:08 - mmengine - INFO - Epoch(train) [74][900/3757] lr: 6.4619e-03 eta: 1 day, 20:14:35 time: 0.4037 data_time: 0.0170 memory: 17007 grad_norm: 6.5675 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9835 loss: 1.9835 2022/07/28 00:02:16 - mmengine - INFO - Epoch(train) [74][920/3757] lr: 6.4619e-03 eta: 1 day, 20:14:27 time: 0.3960 data_time: 0.0126 memory: 17007 grad_norm: 6.9296 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0605 loss: 2.0605 2022/07/28 00:02:24 - mmengine - INFO - Epoch(train) [74][940/3757] lr: 6.4619e-03 eta: 1 day, 20:14:19 time: 0.3976 data_time: 0.0174 memory: 17007 grad_norm: 7.0596 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4386 loss: 2.4386 2022/07/28 00:02:32 - mmengine - INFO - Epoch(train) [74][960/3757] lr: 6.4619e-03 eta: 1 day, 20:14:11 time: 0.3925 data_time: 0.0135 memory: 17007 grad_norm: 6.7148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1977 loss: 2.1977 2022/07/28 00:02:40 - mmengine - INFO - Epoch(train) [74][980/3757] lr: 6.4619e-03 eta: 1 day, 20:14:03 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 6.7297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2169 loss: 2.2169 2022/07/28 00:02:48 - mmengine - INFO - Epoch(train) [74][1000/3757] lr: 6.4619e-03 eta: 1 day, 20:13:55 time: 0.3985 data_time: 0.0146 memory: 17007 grad_norm: 6.6099 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0059 loss: 2.0059 2022/07/28 00:02:56 - mmengine - INFO - Epoch(train) [74][1020/3757] lr: 6.4619e-03 eta: 1 day, 20:13:47 time: 0.3999 data_time: 0.0169 memory: 17007 grad_norm: 6.6242 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4902 loss: 2.4902 2022/07/28 00:03:04 - mmengine - INFO - Epoch(train) [74][1040/3757] lr: 6.4619e-03 eta: 1 day, 20:13:39 time: 0.4016 data_time: 0.0122 memory: 17007 grad_norm: 6.7367 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5369 loss: 2.5369 2022/07/28 00:03:12 - mmengine - INFO - Epoch(train) [74][1060/3757] lr: 6.4619e-03 eta: 1 day, 20:13:31 time: 0.3923 data_time: 0.0154 memory: 17007 grad_norm: 6.4776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7551 loss: 1.7551 2022/07/28 00:03:20 - mmengine - INFO - Epoch(train) [74][1080/3757] lr: 6.4619e-03 eta: 1 day, 20:13:23 time: 0.3906 data_time: 0.0117 memory: 17007 grad_norm: 7.0597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3017 loss: 2.3017 2022/07/28 00:03:28 - mmengine - INFO - Epoch(train) [74][1100/3757] lr: 6.4619e-03 eta: 1 day, 20:13:15 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 6.5312 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0754 loss: 2.0754 2022/07/28 00:03:36 - mmengine - INFO - Epoch(train) [74][1120/3757] lr: 6.4619e-03 eta: 1 day, 20:13:07 time: 0.3918 data_time: 0.0130 memory: 17007 grad_norm: 6.9628 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0695 loss: 2.0695 2022/07/28 00:03:44 - mmengine - INFO - Epoch(train) [74][1140/3757] lr: 6.4619e-03 eta: 1 day, 20:13:00 time: 0.4194 data_time: 0.0159 memory: 17007 grad_norm: 6.8742 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0594 loss: 2.0594 2022/07/28 00:03:52 - mmengine - INFO - Epoch(train) [74][1160/3757] lr: 6.4619e-03 eta: 1 day, 20:12:51 time: 0.3911 data_time: 0.0130 memory: 17007 grad_norm: 6.6374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0287 loss: 2.0287 2022/07/28 00:04:00 - mmengine - INFO - Epoch(train) [74][1180/3757] lr: 6.4619e-03 eta: 1 day, 20:12:43 time: 0.3959 data_time: 0.0167 memory: 17007 grad_norm: 6.5651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0145 loss: 2.0145 2022/07/28 00:04:08 - mmengine - INFO - Epoch(train) [74][1200/3757] lr: 6.4619e-03 eta: 1 day, 20:12:35 time: 0.3944 data_time: 0.0130 memory: 17007 grad_norm: 6.6973 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1628 loss: 2.1628 2022/07/28 00:04:16 - mmengine - INFO - Epoch(train) [74][1220/3757] lr: 6.4619e-03 eta: 1 day, 20:12:28 time: 0.4066 data_time: 0.0165 memory: 17007 grad_norm: 6.8049 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0687 loss: 2.0687 2022/07/28 00:04:24 - mmengine - INFO - Epoch(train) [74][1240/3757] lr: 6.4619e-03 eta: 1 day, 20:12:20 time: 0.3980 data_time: 0.0126 memory: 17007 grad_norm: 6.9240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0767 loss: 2.0767 2022/07/28 00:04:32 - mmengine - INFO - Epoch(train) [74][1260/3757] lr: 6.4619e-03 eta: 1 day, 20:12:12 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 6.8065 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4057 loss: 2.4057 2022/07/28 00:04:39 - mmengine - INFO - Epoch(train) [74][1280/3757] lr: 6.4619e-03 eta: 1 day, 20:12:04 time: 0.3972 data_time: 0.0142 memory: 17007 grad_norm: 6.7854 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1844 loss: 2.1844 2022/07/28 00:04:47 - mmengine - INFO - Epoch(train) [74][1300/3757] lr: 6.4619e-03 eta: 1 day, 20:11:56 time: 0.3994 data_time: 0.0159 memory: 17007 grad_norm: 6.9621 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1164 loss: 2.1164 2022/07/28 00:04:55 - mmengine - INFO - Epoch(train) [74][1320/3757] lr: 6.4619e-03 eta: 1 day, 20:11:48 time: 0.3950 data_time: 0.0137 memory: 17007 grad_norm: 6.8703 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3070 loss: 2.3070 2022/07/28 00:05:05 - mmengine - INFO - Epoch(train) [74][1340/3757] lr: 6.4619e-03 eta: 1 day, 20:11:42 time: 0.4595 data_time: 0.0195 memory: 17007 grad_norm: 6.7289 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9831 loss: 1.9831 2022/07/28 00:05:12 - mmengine - INFO - Epoch(train) [74][1360/3757] lr: 6.4619e-03 eta: 1 day, 20:11:34 time: 0.3922 data_time: 0.0125 memory: 17007 grad_norm: 6.7573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1075 loss: 2.1075 2022/07/28 00:05:20 - mmengine - INFO - Epoch(train) [74][1380/3757] lr: 6.4619e-03 eta: 1 day, 20:11:26 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 6.7462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2167 loss: 2.2167 2022/07/28 00:05:29 - mmengine - INFO - Epoch(train) [74][1400/3757] lr: 6.4619e-03 eta: 1 day, 20:11:18 time: 0.4115 data_time: 0.0141 memory: 17007 grad_norm: 6.9673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4869 loss: 2.4869 2022/07/28 00:05:36 - mmengine - INFO - Epoch(train) [74][1420/3757] lr: 6.4619e-03 eta: 1 day, 20:11:10 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 6.6441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9352 loss: 1.9352 2022/07/28 00:05:45 - mmengine - INFO - Epoch(train) [74][1440/3757] lr: 6.4619e-03 eta: 1 day, 20:11:02 time: 0.4044 data_time: 0.0143 memory: 17007 grad_norm: 6.6870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1800 loss: 2.1800 2022/07/28 00:05:52 - mmengine - INFO - Epoch(train) [74][1460/3757] lr: 6.4619e-03 eta: 1 day, 20:10:54 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 6.5062 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1182 loss: 2.1182 2022/07/28 00:06:00 - mmengine - INFO - Epoch(train) [74][1480/3757] lr: 6.4619e-03 eta: 1 day, 20:10:46 time: 0.3924 data_time: 0.0120 memory: 17007 grad_norm: 6.8790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0670 loss: 2.0670 2022/07/28 00:06:09 - mmengine - INFO - Epoch(train) [74][1500/3757] lr: 6.4619e-03 eta: 1 day, 20:10:39 time: 0.4167 data_time: 0.0176 memory: 17007 grad_norm: 6.6995 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2379 loss: 2.2379 2022/07/28 00:06:16 - mmengine - INFO - Epoch(train) [74][1520/3757] lr: 6.4619e-03 eta: 1 day, 20:10:31 time: 0.3931 data_time: 0.0127 memory: 17007 grad_norm: 6.7636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9223 loss: 1.9223 2022/07/28 00:06:25 - mmengine - INFO - Epoch(train) [74][1540/3757] lr: 6.4619e-03 eta: 1 day, 20:10:24 time: 0.4176 data_time: 0.0177 memory: 17007 grad_norm: 6.7393 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2074 loss: 2.2074 2022/07/28 00:06:33 - mmengine - INFO - Epoch(train) [74][1560/3757] lr: 6.4619e-03 eta: 1 day, 20:10:15 time: 0.3925 data_time: 0.0131 memory: 17007 grad_norm: 6.7879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0625 loss: 2.0625 2022/07/28 00:06:41 - mmengine - INFO - Epoch(train) [74][1580/3757] lr: 6.4619e-03 eta: 1 day, 20:10:07 time: 0.3930 data_time: 0.0150 memory: 17007 grad_norm: 6.6736 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0953 loss: 2.0953 2022/07/28 00:06:49 - mmengine - INFO - Epoch(train) [74][1600/3757] lr: 6.4619e-03 eta: 1 day, 20:10:00 time: 0.4198 data_time: 0.0131 memory: 17007 grad_norm: 6.6075 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0483 loss: 2.0483 2022/07/28 00:06:57 - mmengine - INFO - Epoch(train) [74][1620/3757] lr: 6.4619e-03 eta: 1 day, 20:09:52 time: 0.3943 data_time: 0.0162 memory: 17007 grad_norm: 6.9195 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8720 loss: 1.8720 2022/07/28 00:07:05 - mmengine - INFO - Epoch(train) [74][1640/3757] lr: 6.4619e-03 eta: 1 day, 20:09:45 time: 0.4101 data_time: 0.0147 memory: 17007 grad_norm: 6.7872 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3180 loss: 2.3180 2022/07/28 00:07:13 - mmengine - INFO - Epoch(train) [74][1660/3757] lr: 6.4619e-03 eta: 1 day, 20:09:36 time: 0.3934 data_time: 0.0155 memory: 17007 grad_norm: 6.8186 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3677 loss: 2.3677 2022/07/28 00:07:21 - mmengine - INFO - Epoch(train) [74][1680/3757] lr: 6.4619e-03 eta: 1 day, 20:09:28 time: 0.3914 data_time: 0.0128 memory: 17007 grad_norm: 6.5001 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1332 loss: 2.1332 2022/07/28 00:07:29 - mmengine - INFO - Epoch(train) [74][1700/3757] lr: 6.4619e-03 eta: 1 day, 20:09:21 time: 0.4077 data_time: 0.0173 memory: 17007 grad_norm: 6.8888 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2600 loss: 2.2600 2022/07/28 00:07:37 - mmengine - INFO - Epoch(train) [74][1720/3757] lr: 6.4619e-03 eta: 1 day, 20:09:13 time: 0.3921 data_time: 0.0133 memory: 17007 grad_norm: 6.9154 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1216 loss: 2.1216 2022/07/28 00:07:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:07:45 - mmengine - INFO - Epoch(train) [74][1740/3757] lr: 6.4619e-03 eta: 1 day, 20:09:05 time: 0.3984 data_time: 0.0164 memory: 17007 grad_norm: 7.2488 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2751 loss: 2.2751 2022/07/28 00:07:53 - mmengine - INFO - Epoch(train) [74][1760/3757] lr: 6.4619e-03 eta: 1 day, 20:08:57 time: 0.3930 data_time: 0.0128 memory: 17007 grad_norm: 6.5626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1641 loss: 2.1641 2022/07/28 00:08:01 - mmengine - INFO - Epoch(train) [74][1780/3757] lr: 6.4619e-03 eta: 1 day, 20:08:49 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 6.9653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9135 loss: 1.9135 2022/07/28 00:08:09 - mmengine - INFO - Epoch(train) [74][1800/3757] lr: 6.4619e-03 eta: 1 day, 20:08:41 time: 0.4112 data_time: 0.0121 memory: 17007 grad_norm: 6.9623 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3434 loss: 2.3434 2022/07/28 00:08:17 - mmengine - INFO - Epoch(train) [74][1820/3757] lr: 6.4619e-03 eta: 1 day, 20:08:33 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 7.0104 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3731 loss: 2.3731 2022/07/28 00:08:25 - mmengine - INFO - Epoch(train) [74][1840/3757] lr: 6.4619e-03 eta: 1 day, 20:08:25 time: 0.4019 data_time: 0.0172 memory: 17007 grad_norm: 6.8326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0309 loss: 2.0309 2022/07/28 00:08:33 - mmengine - INFO - Epoch(train) [74][1860/3757] lr: 6.4619e-03 eta: 1 day, 20:08:17 time: 0.3945 data_time: 0.0164 memory: 17007 grad_norm: 6.8156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2789 loss: 2.2789 2022/07/28 00:08:40 - mmengine - INFO - Epoch(train) [74][1880/3757] lr: 6.4619e-03 eta: 1 day, 20:08:09 time: 0.3922 data_time: 0.0123 memory: 17007 grad_norm: 6.8572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3567 loss: 2.3567 2022/07/28 00:08:49 - mmengine - INFO - Epoch(train) [74][1900/3757] lr: 6.4619e-03 eta: 1 day, 20:08:01 time: 0.4052 data_time: 0.0174 memory: 17007 grad_norm: 6.6622 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1350 loss: 2.1350 2022/07/28 00:08:56 - mmengine - INFO - Epoch(train) [74][1920/3757] lr: 6.4619e-03 eta: 1 day, 20:07:53 time: 0.3924 data_time: 0.0126 memory: 17007 grad_norm: 6.8298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8852 loss: 1.8852 2022/07/28 00:09:05 - mmengine - INFO - Epoch(train) [74][1940/3757] lr: 6.4619e-03 eta: 1 day, 20:07:46 time: 0.4035 data_time: 0.0166 memory: 17007 grad_norm: 6.9318 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1129 loss: 2.1129 2022/07/28 00:09:12 - mmengine - INFO - Epoch(train) [74][1960/3757] lr: 6.4619e-03 eta: 1 day, 20:07:38 time: 0.3911 data_time: 0.0125 memory: 17007 grad_norm: 6.6329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9436 loss: 1.9436 2022/07/28 00:09:20 - mmengine - INFO - Epoch(train) [74][1980/3757] lr: 6.4619e-03 eta: 1 day, 20:07:29 time: 0.3932 data_time: 0.0152 memory: 17007 grad_norm: 6.9386 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1676 loss: 2.1676 2022/07/28 00:09:28 - mmengine - INFO - Epoch(train) [74][2000/3757] lr: 6.4619e-03 eta: 1 day, 20:07:22 time: 0.4086 data_time: 0.0145 memory: 17007 grad_norm: 6.8865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9637 loss: 1.9637 2022/07/28 00:09:36 - mmengine - INFO - Epoch(train) [74][2020/3757] lr: 6.4619e-03 eta: 1 day, 20:07:14 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 7.4434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0968 loss: 2.0968 2022/07/28 00:09:44 - mmengine - INFO - Epoch(train) [74][2040/3757] lr: 6.4619e-03 eta: 1 day, 20:07:06 time: 0.4029 data_time: 0.0151 memory: 17007 grad_norm: 6.7107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3720 loss: 2.3720 2022/07/28 00:09:52 - mmengine - INFO - Epoch(train) [74][2060/3757] lr: 6.4619e-03 eta: 1 day, 20:06:58 time: 0.3944 data_time: 0.0160 memory: 17007 grad_norm: 6.7389 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1046 loss: 2.1046 2022/07/28 00:10:00 - mmengine - INFO - Epoch(train) [74][2080/3757] lr: 6.4619e-03 eta: 1 day, 20:06:50 time: 0.3927 data_time: 0.0135 memory: 17007 grad_norm: 6.7559 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1179 loss: 2.1179 2022/07/28 00:10:08 - mmengine - INFO - Epoch(train) [74][2100/3757] lr: 6.4619e-03 eta: 1 day, 20:06:42 time: 0.3956 data_time: 0.0170 memory: 17007 grad_norm: 6.8046 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1858 loss: 2.1858 2022/07/28 00:10:16 - mmengine - INFO - Epoch(train) [74][2120/3757] lr: 6.4619e-03 eta: 1 day, 20:06:34 time: 0.3919 data_time: 0.0126 memory: 17007 grad_norm: 6.6526 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2219 loss: 2.2219 2022/07/28 00:10:24 - mmengine - INFO - Epoch(train) [74][2140/3757] lr: 6.4619e-03 eta: 1 day, 20:06:26 time: 0.4005 data_time: 0.0169 memory: 17007 grad_norm: 7.1160 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1139 loss: 2.1139 2022/07/28 00:10:32 - mmengine - INFO - Epoch(train) [74][2160/3757] lr: 6.4619e-03 eta: 1 day, 20:06:18 time: 0.3927 data_time: 0.0132 memory: 17007 grad_norm: 6.8254 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3206 loss: 2.3206 2022/07/28 00:10:40 - mmengine - INFO - Epoch(train) [74][2180/3757] lr: 6.4619e-03 eta: 1 day, 20:06:10 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 6.7574 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1699 loss: 2.1699 2022/07/28 00:10:48 - mmengine - INFO - Epoch(train) [74][2200/3757] lr: 6.4619e-03 eta: 1 day, 20:06:02 time: 0.3988 data_time: 0.0130 memory: 17007 grad_norm: 6.8335 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2998 loss: 2.2998 2022/07/28 00:10:56 - mmengine - INFO - Epoch(train) [74][2220/3757] lr: 6.4619e-03 eta: 1 day, 20:05:54 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 6.6681 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5760 loss: 2.5760 2022/07/28 00:11:03 - mmengine - INFO - Epoch(train) [74][2240/3757] lr: 6.4619e-03 eta: 1 day, 20:05:46 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 6.7991 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0081 loss: 2.0081 2022/07/28 00:11:11 - mmengine - INFO - Epoch(train) [74][2260/3757] lr: 6.4619e-03 eta: 1 day, 20:05:38 time: 0.3925 data_time: 0.0150 memory: 17007 grad_norm: 6.8662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1187 loss: 2.1187 2022/07/28 00:11:19 - mmengine - INFO - Epoch(train) [74][2280/3757] lr: 6.4619e-03 eta: 1 day, 20:05:30 time: 0.3933 data_time: 0.0133 memory: 17007 grad_norm: 6.6483 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0311 loss: 2.0311 2022/07/28 00:11:27 - mmengine - INFO - Epoch(train) [74][2300/3757] lr: 6.4619e-03 eta: 1 day, 20:05:22 time: 0.4105 data_time: 0.0173 memory: 17007 grad_norm: 6.9425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9776 loss: 1.9776 2022/07/28 00:11:35 - mmengine - INFO - Epoch(train) [74][2320/3757] lr: 6.4619e-03 eta: 1 day, 20:05:14 time: 0.3915 data_time: 0.0139 memory: 17007 grad_norm: 6.8322 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9800 loss: 1.9800 2022/07/28 00:11:43 - mmengine - INFO - Epoch(train) [74][2340/3757] lr: 6.4619e-03 eta: 1 day, 20:05:07 time: 0.4062 data_time: 0.0200 memory: 17007 grad_norm: 6.7395 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3516 loss: 2.3516 2022/07/28 00:11:51 - mmengine - INFO - Epoch(train) [74][2360/3757] lr: 6.4619e-03 eta: 1 day, 20:04:59 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 6.9006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9123 loss: 1.9123 2022/07/28 00:11:59 - mmengine - INFO - Epoch(train) [74][2380/3757] lr: 6.4619e-03 eta: 1 day, 20:04:50 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 6.8628 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1312 loss: 2.1312 2022/07/28 00:12:07 - mmengine - INFO - Epoch(train) [74][2400/3757] lr: 6.4619e-03 eta: 1 day, 20:04:43 time: 0.4058 data_time: 0.0151 memory: 17007 grad_norm: 9.6568 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1345 loss: 2.1345 2022/07/28 00:12:15 - mmengine - INFO - Epoch(train) [74][2420/3757] lr: 6.4619e-03 eta: 1 day, 20:04:35 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 7.1621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3863 loss: 2.3863 2022/07/28 00:12:23 - mmengine - INFO - Epoch(train) [74][2440/3757] lr: 6.4619e-03 eta: 1 day, 20:04:27 time: 0.3949 data_time: 0.0129 memory: 17007 grad_norm: 6.6923 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9974 loss: 1.9974 2022/07/28 00:12:31 - mmengine - INFO - Epoch(train) [74][2460/3757] lr: 6.4619e-03 eta: 1 day, 20:04:19 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 6.8882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2105 loss: 2.2105 2022/07/28 00:12:39 - mmengine - INFO - Epoch(train) [74][2480/3757] lr: 6.4619e-03 eta: 1 day, 20:04:11 time: 0.3964 data_time: 0.0140 memory: 17007 grad_norm: 6.7386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2350 loss: 2.2350 2022/07/28 00:12:47 - mmengine - INFO - Epoch(train) [74][2500/3757] lr: 6.4619e-03 eta: 1 day, 20:04:03 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 6.7014 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1280 loss: 2.1280 2022/07/28 00:12:55 - mmengine - INFO - Epoch(train) [74][2520/3757] lr: 6.4619e-03 eta: 1 day, 20:03:55 time: 0.3987 data_time: 0.0154 memory: 17007 grad_norm: 7.0895 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3192 loss: 2.3192 2022/07/28 00:13:03 - mmengine - INFO - Epoch(train) [74][2540/3757] lr: 6.4619e-03 eta: 1 day, 20:03:47 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.7933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9799 loss: 1.9799 2022/07/28 00:13:11 - mmengine - INFO - Epoch(train) [74][2560/3757] lr: 6.4619e-03 eta: 1 day, 20:03:39 time: 0.3966 data_time: 0.0128 memory: 17007 grad_norm: 6.7177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4550 loss: 2.4550 2022/07/28 00:13:18 - mmengine - INFO - Epoch(train) [74][2580/3757] lr: 6.4619e-03 eta: 1 day, 20:03:31 time: 0.3921 data_time: 0.0151 memory: 17007 grad_norm: 6.6589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1245 loss: 2.1245 2022/07/28 00:13:26 - mmengine - INFO - Epoch(train) [74][2600/3757] lr: 6.4619e-03 eta: 1 day, 20:03:23 time: 0.4001 data_time: 0.0134 memory: 17007 grad_norm: 6.6486 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0149 loss: 2.0149 2022/07/28 00:13:34 - mmengine - INFO - Epoch(train) [74][2620/3757] lr: 6.4619e-03 eta: 1 day, 20:03:15 time: 0.3936 data_time: 0.0168 memory: 17007 grad_norm: 6.8585 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4490 loss: 2.4490 2022/07/28 00:13:42 - mmengine - INFO - Epoch(train) [74][2640/3757] lr: 6.4619e-03 eta: 1 day, 20:03:07 time: 0.3988 data_time: 0.0137 memory: 17007 grad_norm: 6.4961 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9758 loss: 1.9758 2022/07/28 00:13:50 - mmengine - INFO - Epoch(train) [74][2660/3757] lr: 6.4619e-03 eta: 1 day, 20:02:59 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 6.7435 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0260 loss: 2.0260 2022/07/28 00:13:58 - mmengine - INFO - Epoch(train) [74][2680/3757] lr: 6.4619e-03 eta: 1 day, 20:02:51 time: 0.3991 data_time: 0.0154 memory: 17007 grad_norm: 6.6934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8422 loss: 1.8422 2022/07/28 00:14:06 - mmengine - INFO - Epoch(train) [74][2700/3757] lr: 6.4619e-03 eta: 1 day, 20:02:43 time: 0.3939 data_time: 0.0153 memory: 17007 grad_norm: 6.8660 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1389 loss: 2.1389 2022/07/28 00:14:14 - mmengine - INFO - Epoch(train) [74][2720/3757] lr: 6.4619e-03 eta: 1 day, 20:02:35 time: 0.4034 data_time: 0.0158 memory: 17007 grad_norm: 6.8845 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0438 loss: 2.0438 2022/07/28 00:14:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:14:22 - mmengine - INFO - Epoch(train) [74][2740/3757] lr: 6.4619e-03 eta: 1 day, 20:02:27 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.7145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3717 loss: 2.3717 2022/07/28 00:14:30 - mmengine - INFO - Epoch(train) [74][2760/3757] lr: 6.4619e-03 eta: 1 day, 20:02:19 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 6.5673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1402 loss: 2.1402 2022/07/28 00:14:38 - mmengine - INFO - Epoch(train) [74][2780/3757] lr: 6.4619e-03 eta: 1 day, 20:02:11 time: 0.4025 data_time: 0.0174 memory: 17007 grad_norm: 6.6425 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6202 loss: 2.6202 2022/07/28 00:14:46 - mmengine - INFO - Epoch(train) [74][2800/3757] lr: 6.4619e-03 eta: 1 day, 20:02:03 time: 0.3928 data_time: 0.0125 memory: 17007 grad_norm: 7.0600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1049 loss: 2.1049 2022/07/28 00:14:54 - mmengine - INFO - Epoch(train) [74][2820/3757] lr: 6.4619e-03 eta: 1 day, 20:01:55 time: 0.3976 data_time: 0.0172 memory: 17007 grad_norm: 6.8122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9208 loss: 1.9208 2022/07/28 00:15:02 - mmengine - INFO - Epoch(train) [74][2840/3757] lr: 6.4619e-03 eta: 1 day, 20:01:47 time: 0.3928 data_time: 0.0139 memory: 17007 grad_norm: 6.7627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0837 loss: 2.0837 2022/07/28 00:15:10 - mmengine - INFO - Epoch(train) [74][2860/3757] lr: 6.4619e-03 eta: 1 day, 20:01:39 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 6.6714 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2227 loss: 2.2227 2022/07/28 00:15:17 - mmengine - INFO - Epoch(train) [74][2880/3757] lr: 6.4619e-03 eta: 1 day, 20:01:31 time: 0.3955 data_time: 0.0149 memory: 17007 grad_norm: 6.5812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0547 loss: 2.0547 2022/07/28 00:15:25 - mmengine - INFO - Epoch(train) [74][2900/3757] lr: 6.4619e-03 eta: 1 day, 20:01:23 time: 0.3985 data_time: 0.0165 memory: 17007 grad_norm: 6.5590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8584 loss: 1.8584 2022/07/28 00:15:33 - mmengine - INFO - Epoch(train) [74][2920/3757] lr: 6.4619e-03 eta: 1 day, 20:01:15 time: 0.3926 data_time: 0.0132 memory: 17007 grad_norm: 6.6347 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1744 loss: 2.1744 2022/07/28 00:15:41 - mmengine - INFO - Epoch(train) [74][2940/3757] lr: 6.4619e-03 eta: 1 day, 20:01:07 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 6.6395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0829 loss: 2.0829 2022/07/28 00:15:49 - mmengine - INFO - Epoch(train) [74][2960/3757] lr: 6.4619e-03 eta: 1 day, 20:01:00 time: 0.4101 data_time: 0.0127 memory: 17007 grad_norm: 6.5092 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1511 loss: 2.1511 2022/07/28 00:15:57 - mmengine - INFO - Epoch(train) [74][2980/3757] lr: 6.4619e-03 eta: 1 day, 20:00:52 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.6093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0488 loss: 2.0488 2022/07/28 00:16:05 - mmengine - INFO - Epoch(train) [74][3000/3757] lr: 6.4619e-03 eta: 1 day, 20:00:44 time: 0.3970 data_time: 0.0146 memory: 17007 grad_norm: 6.6923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3061 loss: 2.3061 2022/07/28 00:16:13 - mmengine - INFO - Epoch(train) [74][3020/3757] lr: 6.4619e-03 eta: 1 day, 20:00:36 time: 0.3952 data_time: 0.0156 memory: 17007 grad_norm: 6.7735 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5245 loss: 2.5245 2022/07/28 00:16:21 - mmengine - INFO - Epoch(train) [74][3040/3757] lr: 6.4619e-03 eta: 1 day, 20:00:28 time: 0.3966 data_time: 0.0132 memory: 17007 grad_norm: 6.7133 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2316 loss: 2.2316 2022/07/28 00:16:29 - mmengine - INFO - Epoch(train) [74][3060/3757] lr: 6.4619e-03 eta: 1 day, 20:00:20 time: 0.3943 data_time: 0.0158 memory: 17007 grad_norm: 6.7803 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0252 loss: 2.0252 2022/07/28 00:16:37 - mmengine - INFO - Epoch(train) [74][3080/3757] lr: 6.4619e-03 eta: 1 day, 20:00:12 time: 0.3942 data_time: 0.0174 memory: 17007 grad_norm: 6.6326 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9745 loss: 1.9745 2022/07/28 00:16:45 - mmengine - INFO - Epoch(train) [74][3100/3757] lr: 6.4619e-03 eta: 1 day, 20:00:04 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 6.8363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2240 loss: 2.2240 2022/07/28 00:16:53 - mmengine - INFO - Epoch(train) [74][3120/3757] lr: 6.4619e-03 eta: 1 day, 19:59:56 time: 0.3924 data_time: 0.0140 memory: 17007 grad_norm: 6.5732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0457 loss: 2.0457 2022/07/28 00:17:01 - mmengine - INFO - Epoch(train) [74][3140/3757] lr: 6.4619e-03 eta: 1 day, 19:59:48 time: 0.3988 data_time: 0.0169 memory: 17007 grad_norm: 6.8540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9543 loss: 1.9543 2022/07/28 00:17:09 - mmengine - INFO - Epoch(train) [74][3160/3757] lr: 6.4619e-03 eta: 1 day, 19:59:40 time: 0.3933 data_time: 0.0135 memory: 17007 grad_norm: 6.4946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8108 loss: 1.8108 2022/07/28 00:17:17 - mmengine - INFO - Epoch(train) [74][3180/3757] lr: 6.4619e-03 eta: 1 day, 19:59:32 time: 0.3984 data_time: 0.0177 memory: 17007 grad_norm: 7.0131 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1254 loss: 2.1254 2022/07/28 00:17:24 - mmengine - INFO - Epoch(train) [74][3200/3757] lr: 6.4619e-03 eta: 1 day, 19:59:24 time: 0.3901 data_time: 0.0120 memory: 17007 grad_norm: 6.6889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0792 loss: 2.0792 2022/07/28 00:17:32 - mmengine - INFO - Epoch(train) [74][3220/3757] lr: 6.4619e-03 eta: 1 day, 19:59:16 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 6.7397 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1258 loss: 2.1258 2022/07/28 00:17:40 - mmengine - INFO - Epoch(train) [74][3240/3757] lr: 6.4619e-03 eta: 1 day, 19:59:08 time: 0.3955 data_time: 0.0140 memory: 17007 grad_norm: 6.7477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3874 loss: 2.3874 2022/07/28 00:17:48 - mmengine - INFO - Epoch(train) [74][3260/3757] lr: 6.4619e-03 eta: 1 day, 19:59:00 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 6.5652 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9687 loss: 1.9687 2022/07/28 00:17:56 - mmengine - INFO - Epoch(train) [74][3280/3757] lr: 6.4619e-03 eta: 1 day, 19:58:52 time: 0.3930 data_time: 0.0136 memory: 17007 grad_norm: 6.6791 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2826 loss: 2.2826 2022/07/28 00:18:04 - mmengine - INFO - Epoch(train) [74][3300/3757] lr: 6.4619e-03 eta: 1 day, 19:58:44 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 6.8860 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6469 loss: 2.6469 2022/07/28 00:18:12 - mmengine - INFO - Epoch(train) [74][3320/3757] lr: 6.4619e-03 eta: 1 day, 19:58:35 time: 0.3916 data_time: 0.0132 memory: 17007 grad_norm: 6.8586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2014 loss: 2.2014 2022/07/28 00:18:20 - mmengine - INFO - Epoch(train) [74][3340/3757] lr: 6.4619e-03 eta: 1 day, 19:58:28 time: 0.4000 data_time: 0.0166 memory: 17007 grad_norm: 6.8600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0136 loss: 2.0136 2022/07/28 00:18:27 - mmengine - INFO - Epoch(train) [74][3360/3757] lr: 6.4619e-03 eta: 1 day, 19:58:20 time: 0.3922 data_time: 0.0124 memory: 17007 grad_norm: 6.6959 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1639 loss: 2.1639 2022/07/28 00:18:36 - mmengine - INFO - Epoch(train) [74][3380/3757] lr: 6.4619e-03 eta: 1 day, 19:58:12 time: 0.4041 data_time: 0.0177 memory: 17007 grad_norm: 6.6937 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1503 loss: 2.1503 2022/07/28 00:18:43 - mmengine - INFO - Epoch(train) [74][3400/3757] lr: 6.4619e-03 eta: 1 day, 19:58:04 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 6.7201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9957 loss: 1.9957 2022/07/28 00:18:51 - mmengine - INFO - Epoch(train) [74][3420/3757] lr: 6.4619e-03 eta: 1 day, 19:57:56 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 6.8718 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0333 loss: 2.0333 2022/07/28 00:18:59 - mmengine - INFO - Epoch(train) [74][3440/3757] lr: 6.4619e-03 eta: 1 day, 19:57:48 time: 0.3990 data_time: 0.0133 memory: 17007 grad_norm: 6.6389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9125 loss: 1.9125 2022/07/28 00:19:07 - mmengine - INFO - Epoch(train) [74][3460/3757] lr: 6.4619e-03 eta: 1 day, 19:57:40 time: 0.3993 data_time: 0.0167 memory: 17007 grad_norm: 6.4978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0238 loss: 2.0238 2022/07/28 00:19:15 - mmengine - INFO - Epoch(train) [74][3480/3757] lr: 6.4619e-03 eta: 1 day, 19:57:32 time: 0.4027 data_time: 0.0123 memory: 17007 grad_norm: 6.5312 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0688 loss: 2.0688 2022/07/28 00:19:23 - mmengine - INFO - Epoch(train) [74][3500/3757] lr: 6.4619e-03 eta: 1 day, 19:57:24 time: 0.3923 data_time: 0.0158 memory: 17007 grad_norm: 6.8015 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9801 loss: 1.9801 2022/07/28 00:19:31 - mmengine - INFO - Epoch(train) [74][3520/3757] lr: 6.4619e-03 eta: 1 day, 19:57:16 time: 0.3948 data_time: 0.0146 memory: 17007 grad_norm: 6.9842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1446 loss: 2.1446 2022/07/28 00:19:39 - mmengine - INFO - Epoch(train) [74][3540/3757] lr: 6.4619e-03 eta: 1 day, 19:57:08 time: 0.4050 data_time: 0.0161 memory: 17007 grad_norm: 6.6849 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1049 loss: 2.1049 2022/07/28 00:19:47 - mmengine - INFO - Epoch(train) [74][3560/3757] lr: 6.4619e-03 eta: 1 day, 19:57:00 time: 0.3937 data_time: 0.0136 memory: 17007 grad_norm: 6.8427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1771 loss: 2.1771 2022/07/28 00:19:55 - mmengine - INFO - Epoch(train) [74][3580/3757] lr: 6.4619e-03 eta: 1 day, 19:56:52 time: 0.3951 data_time: 0.0167 memory: 17007 grad_norm: 6.6883 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2048 loss: 2.2048 2022/07/28 00:20:03 - mmengine - INFO - Epoch(train) [74][3600/3757] lr: 6.4619e-03 eta: 1 day, 19:56:44 time: 0.3911 data_time: 0.0120 memory: 17007 grad_norm: 6.7096 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1559 loss: 2.1559 2022/07/28 00:20:11 - mmengine - INFO - Epoch(train) [74][3620/3757] lr: 6.4619e-03 eta: 1 day, 19:56:37 time: 0.4066 data_time: 0.0164 memory: 17007 grad_norm: 6.5714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1480 loss: 2.1480 2022/07/28 00:20:19 - mmengine - INFO - Epoch(train) [74][3640/3757] lr: 6.4619e-03 eta: 1 day, 19:56:28 time: 0.3924 data_time: 0.0134 memory: 17007 grad_norm: 6.7494 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3280 loss: 2.3280 2022/07/28 00:20:27 - mmengine - INFO - Epoch(train) [74][3660/3757] lr: 6.4619e-03 eta: 1 day, 19:56:21 time: 0.3984 data_time: 0.0151 memory: 17007 grad_norm: 6.6568 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8874 loss: 1.8874 2022/07/28 00:20:35 - mmengine - INFO - Epoch(train) [74][3680/3757] lr: 6.4619e-03 eta: 1 day, 19:56:13 time: 0.3942 data_time: 0.0138 memory: 17007 grad_norm: 6.6147 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0792 loss: 2.0792 2022/07/28 00:20:43 - mmengine - INFO - Epoch(train) [74][3700/3757] lr: 6.4619e-03 eta: 1 day, 19:56:04 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 6.7578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8233 loss: 1.8233 2022/07/28 00:20:51 - mmengine - INFO - Epoch(train) [74][3720/3757] lr: 6.4619e-03 eta: 1 day, 19:55:57 time: 0.3952 data_time: 0.0126 memory: 17007 grad_norm: 6.8345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3546 loss: 2.3546 2022/07/28 00:20:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:20:58 - mmengine - INFO - Epoch(train) [74][3740/3757] lr: 6.4619e-03 eta: 1 day, 19:55:49 time: 0.3951 data_time: 0.0167 memory: 17007 grad_norm: 6.6145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1319 loss: 2.1319 2022/07/28 00:21:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:21:06 - mmengine - INFO - Epoch(train) [74][3757/3757] lr: 6.4619e-03 eta: 1 day, 19:55:49 time: 0.4190 data_time: 0.0149 memory: 17007 grad_norm: 6.9661 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.5273 loss: 2.5273 2022/07/28 00:21:06 - mmengine - INFO - Saving checkpoint at 74 epochs 2022/07/28 00:21:17 - mmengine - INFO - Epoch(train) [75][20/3757] lr: 6.3782e-03 eta: 1 day, 19:55:26 time: 0.4624 data_time: 0.0844 memory: 17007 grad_norm: 6.6207 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9302 loss: 1.9302 2022/07/28 00:21:25 - mmengine - INFO - Epoch(train) [75][40/3757] lr: 6.3782e-03 eta: 1 day, 19:55:18 time: 0.4045 data_time: 0.0157 memory: 17007 grad_norm: 6.7386 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0729 loss: 2.0729 2022/07/28 00:21:33 - mmengine - INFO - Epoch(train) [75][60/3757] lr: 6.3782e-03 eta: 1 day, 19:55:10 time: 0.3927 data_time: 0.0146 memory: 17007 grad_norm: 6.9220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1632 loss: 2.1632 2022/07/28 00:21:41 - mmengine - INFO - Epoch(train) [75][80/3757] lr: 6.3782e-03 eta: 1 day, 19:55:02 time: 0.3956 data_time: 0.0163 memory: 17007 grad_norm: 6.7260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1315 loss: 2.1315 2022/07/28 00:21:49 - mmengine - INFO - Epoch(train) [75][100/3757] lr: 6.3782e-03 eta: 1 day, 19:54:54 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 6.5513 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9420 loss: 1.9420 2022/07/28 00:21:57 - mmengine - INFO - Epoch(train) [75][120/3757] lr: 6.3782e-03 eta: 1 day, 19:54:46 time: 0.3932 data_time: 0.0160 memory: 17007 grad_norm: 6.5314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0660 loss: 2.0660 2022/07/28 00:22:05 - mmengine - INFO - Epoch(train) [75][140/3757] lr: 6.3782e-03 eta: 1 day, 19:54:38 time: 0.3979 data_time: 0.0148 memory: 17007 grad_norm: 6.8451 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3905 loss: 2.3905 2022/07/28 00:22:13 - mmengine - INFO - Epoch(train) [75][160/3757] lr: 6.3782e-03 eta: 1 day, 19:54:30 time: 0.3953 data_time: 0.0166 memory: 17007 grad_norm: 6.9764 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4829 loss: 2.4829 2022/07/28 00:22:20 - mmengine - INFO - Epoch(train) [75][180/3757] lr: 6.3782e-03 eta: 1 day, 19:54:22 time: 0.3933 data_time: 0.0141 memory: 17007 grad_norm: 6.6998 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0587 loss: 2.0587 2022/07/28 00:22:28 - mmengine - INFO - Epoch(train) [75][200/3757] lr: 6.3782e-03 eta: 1 day, 19:54:14 time: 0.3953 data_time: 0.0144 memory: 17007 grad_norm: 6.6286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9893 loss: 1.9893 2022/07/28 00:22:36 - mmengine - INFO - Epoch(train) [75][220/3757] lr: 6.3782e-03 eta: 1 day, 19:54:06 time: 0.3979 data_time: 0.0157 memory: 17007 grad_norm: 6.5634 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1001 loss: 2.1001 2022/07/28 00:22:44 - mmengine - INFO - Epoch(train) [75][240/3757] lr: 6.3782e-03 eta: 1 day, 19:53:58 time: 0.3959 data_time: 0.0156 memory: 17007 grad_norm: 7.0188 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3083 loss: 2.3083 2022/07/28 00:22:52 - mmengine - INFO - Epoch(train) [75][260/3757] lr: 6.3782e-03 eta: 1 day, 19:53:50 time: 0.3922 data_time: 0.0131 memory: 17007 grad_norm: 6.5519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0262 loss: 2.0262 2022/07/28 00:23:00 - mmengine - INFO - Epoch(train) [75][280/3757] lr: 6.3782e-03 eta: 1 day, 19:53:42 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.9905 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2926 loss: 2.2926 2022/07/28 00:23:08 - mmengine - INFO - Epoch(train) [75][300/3757] lr: 6.3782e-03 eta: 1 day, 19:53:34 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 6.7038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1328 loss: 2.1328 2022/07/28 00:23:16 - mmengine - INFO - Epoch(train) [75][320/3757] lr: 6.3782e-03 eta: 1 day, 19:53:26 time: 0.3932 data_time: 0.0161 memory: 17007 grad_norm: 6.9525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2105 loss: 2.2105 2022/07/28 00:23:24 - mmengine - INFO - Epoch(train) [75][340/3757] lr: 6.3782e-03 eta: 1 day, 19:53:18 time: 0.3926 data_time: 0.0141 memory: 17007 grad_norm: 6.7254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9747 loss: 1.9747 2022/07/28 00:23:31 - mmengine - INFO - Epoch(train) [75][360/3757] lr: 6.3782e-03 eta: 1 day, 19:53:10 time: 0.3952 data_time: 0.0146 memory: 17007 grad_norm: 6.6964 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1119 loss: 2.1119 2022/07/28 00:23:39 - mmengine - INFO - Epoch(train) [75][380/3757] lr: 6.3782e-03 eta: 1 day, 19:53:02 time: 0.3931 data_time: 0.0143 memory: 17007 grad_norm: 6.8629 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1744 loss: 2.1744 2022/07/28 00:23:47 - mmengine - INFO - Epoch(train) [75][400/3757] lr: 6.3782e-03 eta: 1 day, 19:52:54 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 6.7187 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0264 loss: 2.0264 2022/07/28 00:23:55 - mmengine - INFO - Epoch(train) [75][420/3757] lr: 6.3782e-03 eta: 1 day, 19:52:46 time: 0.3944 data_time: 0.0149 memory: 17007 grad_norm: 6.5439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1389 loss: 2.1389 2022/07/28 00:24:03 - mmengine - INFO - Epoch(train) [75][440/3757] lr: 6.3782e-03 eta: 1 day, 19:52:38 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 6.7875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1607 loss: 2.1607 2022/07/28 00:24:11 - mmengine - INFO - Epoch(train) [75][460/3757] lr: 6.3782e-03 eta: 1 day, 19:52:30 time: 0.3977 data_time: 0.0153 memory: 17007 grad_norm: 6.6351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1855 loss: 2.1855 2022/07/28 00:24:19 - mmengine - INFO - Epoch(train) [75][480/3757] lr: 6.3782e-03 eta: 1 day, 19:52:22 time: 0.3949 data_time: 0.0161 memory: 17007 grad_norm: 6.9695 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1455 loss: 2.1455 2022/07/28 00:24:27 - mmengine - INFO - Epoch(train) [75][500/3757] lr: 6.3782e-03 eta: 1 day, 19:52:14 time: 0.3953 data_time: 0.0147 memory: 17007 grad_norm: 6.6217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8489 loss: 1.8489 2022/07/28 00:24:35 - mmengine - INFO - Epoch(train) [75][520/3757] lr: 6.3782e-03 eta: 1 day, 19:52:06 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 6.6868 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0883 loss: 2.0883 2022/07/28 00:24:43 - mmengine - INFO - Epoch(train) [75][540/3757] lr: 6.3782e-03 eta: 1 day, 19:51:58 time: 0.3930 data_time: 0.0150 memory: 17007 grad_norm: 6.6579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4720 loss: 2.4720 2022/07/28 00:24:50 - mmengine - INFO - Epoch(train) [75][560/3757] lr: 6.3782e-03 eta: 1 day, 19:51:50 time: 0.3969 data_time: 0.0159 memory: 17007 grad_norm: 7.0909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1543 loss: 2.1543 2022/07/28 00:24:58 - mmengine - INFO - Epoch(train) [75][580/3757] lr: 6.3782e-03 eta: 1 day, 19:51:42 time: 0.3951 data_time: 0.0151 memory: 17007 grad_norm: 6.7186 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3446 loss: 2.3446 2022/07/28 00:25:06 - mmengine - INFO - Epoch(train) [75][600/3757] lr: 6.3782e-03 eta: 1 day, 19:51:34 time: 0.3946 data_time: 0.0152 memory: 17007 grad_norm: 6.6825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1365 loss: 2.1365 2022/07/28 00:25:14 - mmengine - INFO - Epoch(train) [75][620/3757] lr: 6.3782e-03 eta: 1 day, 19:51:26 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 6.7011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3139 loss: 2.3139 2022/07/28 00:25:22 - mmengine - INFO - Epoch(train) [75][640/3757] lr: 6.3782e-03 eta: 1 day, 19:51:18 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 6.7886 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0572 loss: 2.0572 2022/07/28 00:25:30 - mmengine - INFO - Epoch(train) [75][660/3757] lr: 6.3782e-03 eta: 1 day, 19:51:10 time: 0.3967 data_time: 0.0159 memory: 17007 grad_norm: 6.5594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7866 loss: 1.7866 2022/07/28 00:25:38 - mmengine - INFO - Epoch(train) [75][680/3757] lr: 6.3782e-03 eta: 1 day, 19:51:02 time: 0.3945 data_time: 0.0170 memory: 17007 grad_norm: 6.3718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0019 loss: 2.0019 2022/07/28 00:25:46 - mmengine - INFO - Epoch(train) [75][700/3757] lr: 6.3782e-03 eta: 1 day, 19:50:54 time: 0.3995 data_time: 0.0155 memory: 17007 grad_norm: 6.9354 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1980 loss: 2.1980 2022/07/28 00:25:54 - mmengine - INFO - Epoch(train) [75][720/3757] lr: 6.3782e-03 eta: 1 day, 19:50:46 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 6.7686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0547 loss: 2.0547 2022/07/28 00:26:02 - mmengine - INFO - Epoch(train) [75][740/3757] lr: 6.3782e-03 eta: 1 day, 19:50:38 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.9580 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1382 loss: 2.1382 2022/07/28 00:26:10 - mmengine - INFO - Epoch(train) [75][760/3757] lr: 6.3782e-03 eta: 1 day, 19:50:30 time: 0.3969 data_time: 0.0162 memory: 17007 grad_norm: 6.7834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1410 loss: 2.1410 2022/07/28 00:26:18 - mmengine - INFO - Epoch(train) [75][780/3757] lr: 6.3782e-03 eta: 1 day, 19:50:22 time: 0.3961 data_time: 0.0159 memory: 17007 grad_norm: 6.7086 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3917 loss: 2.3917 2022/07/28 00:26:26 - mmengine - INFO - Epoch(train) [75][800/3757] lr: 6.3782e-03 eta: 1 day, 19:50:15 time: 0.4121 data_time: 0.0162 memory: 17007 grad_norm: 6.5756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2517 loss: 2.2517 2022/07/28 00:26:34 - mmengine - INFO - Epoch(train) [75][820/3757] lr: 6.3782e-03 eta: 1 day, 19:50:06 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 6.5448 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0721 loss: 2.0721 2022/07/28 00:26:42 - mmengine - INFO - Epoch(train) [75][840/3757] lr: 6.3782e-03 eta: 1 day, 19:49:58 time: 0.3927 data_time: 0.0161 memory: 17007 grad_norm: 6.6449 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1952 loss: 2.1952 2022/07/28 00:26:50 - mmengine - INFO - Epoch(train) [75][860/3757] lr: 6.3782e-03 eta: 1 day, 19:49:50 time: 0.3992 data_time: 0.0147 memory: 17007 grad_norm: 6.7802 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1494 loss: 2.1494 2022/07/28 00:26:57 - mmengine - INFO - Epoch(train) [75][880/3757] lr: 6.3782e-03 eta: 1 day, 19:49:43 time: 0.3958 data_time: 0.0166 memory: 17007 grad_norm: 6.5642 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9319 loss: 1.9319 2022/07/28 00:27:05 - mmengine - INFO - Epoch(train) [75][900/3757] lr: 6.3782e-03 eta: 1 day, 19:49:35 time: 0.3952 data_time: 0.0147 memory: 17007 grad_norm: 6.6364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8942 loss: 1.8942 2022/07/28 00:27:13 - mmengine - INFO - Epoch(train) [75][920/3757] lr: 6.3782e-03 eta: 1 day, 19:49:26 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 6.7864 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9623 loss: 1.9623 2022/07/28 00:27:21 - mmengine - INFO - Epoch(train) [75][940/3757] lr: 6.3782e-03 eta: 1 day, 19:49:18 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 7.3255 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3066 loss: 2.3066 2022/07/28 00:27:29 - mmengine - INFO - Epoch(train) [75][960/3757] lr: 6.3782e-03 eta: 1 day, 19:49:10 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 6.6783 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0153 loss: 2.0153 2022/07/28 00:27:37 - mmengine - INFO - Epoch(train) [75][980/3757] lr: 6.3782e-03 eta: 1 day, 19:49:03 time: 0.4044 data_time: 0.0154 memory: 17007 grad_norm: 6.8921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9353 loss: 1.9353 2022/07/28 00:27:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:27:45 - mmengine - INFO - Epoch(train) [75][1000/3757] lr: 6.3782e-03 eta: 1 day, 19:48:55 time: 0.3975 data_time: 0.0158 memory: 17007 grad_norm: 6.7511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2118 loss: 2.2118 2022/07/28 00:27:53 - mmengine - INFO - Epoch(train) [75][1020/3757] lr: 6.3782e-03 eta: 1 day, 19:48:47 time: 0.3933 data_time: 0.0145 memory: 17007 grad_norm: 6.7711 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3132 loss: 2.3132 2022/07/28 00:28:01 - mmengine - INFO - Epoch(train) [75][1040/3757] lr: 6.3782e-03 eta: 1 day, 19:48:39 time: 0.4008 data_time: 0.0167 memory: 17007 grad_norm: 6.6180 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8309 loss: 1.8309 2022/07/28 00:28:09 - mmengine - INFO - Epoch(train) [75][1060/3757] lr: 6.3782e-03 eta: 1 day, 19:48:31 time: 0.3932 data_time: 0.0146 memory: 17007 grad_norm: 6.6639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1633 loss: 2.1633 2022/07/28 00:28:17 - mmengine - INFO - Epoch(train) [75][1080/3757] lr: 6.3782e-03 eta: 1 day, 19:48:23 time: 0.3950 data_time: 0.0168 memory: 17007 grad_norm: 6.8005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3490 loss: 2.3490 2022/07/28 00:28:25 - mmengine - INFO - Epoch(train) [75][1100/3757] lr: 6.3782e-03 eta: 1 day, 19:48:15 time: 0.4068 data_time: 0.0136 memory: 17007 grad_norm: 6.3888 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1109 loss: 2.1109 2022/07/28 00:28:33 - mmengine - INFO - Epoch(train) [75][1120/3757] lr: 6.3782e-03 eta: 1 day, 19:48:07 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 6.8008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1729 loss: 2.1729 2022/07/28 00:28:41 - mmengine - INFO - Epoch(train) [75][1140/3757] lr: 6.3782e-03 eta: 1 day, 19:47:59 time: 0.3919 data_time: 0.0144 memory: 17007 grad_norm: 6.4366 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1719 loss: 2.1719 2022/07/28 00:28:49 - mmengine - INFO - Epoch(train) [75][1160/3757] lr: 6.3782e-03 eta: 1 day, 19:47:51 time: 0.3966 data_time: 0.0163 memory: 17007 grad_norm: 7.0395 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2322 loss: 2.2322 2022/07/28 00:28:56 - mmengine - INFO - Epoch(train) [75][1180/3757] lr: 6.3782e-03 eta: 1 day, 19:47:43 time: 0.3929 data_time: 0.0144 memory: 17007 grad_norm: 7.0069 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4823 loss: 2.4823 2022/07/28 00:29:04 - mmengine - INFO - Epoch(train) [75][1200/3757] lr: 6.3782e-03 eta: 1 day, 19:47:35 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 6.7740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9921 loss: 1.9921 2022/07/28 00:29:12 - mmengine - INFO - Epoch(train) [75][1220/3757] lr: 6.3782e-03 eta: 1 day, 19:47:27 time: 0.4076 data_time: 0.0150 memory: 17007 grad_norm: 6.5416 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2373 loss: 2.2373 2022/07/28 00:29:20 - mmengine - INFO - Epoch(train) [75][1240/3757] lr: 6.3782e-03 eta: 1 day, 19:47:19 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 6.7448 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0651 loss: 2.0651 2022/07/28 00:29:28 - mmengine - INFO - Epoch(train) [75][1260/3757] lr: 6.3782e-03 eta: 1 day, 19:47:11 time: 0.4006 data_time: 0.0154 memory: 17007 grad_norm: 6.6955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1124 loss: 2.1124 2022/07/28 00:29:36 - mmengine - INFO - Epoch(train) [75][1280/3757] lr: 6.3782e-03 eta: 1 day, 19:47:03 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.7148 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0633 loss: 2.0633 2022/07/28 00:29:44 - mmengine - INFO - Epoch(train) [75][1300/3757] lr: 6.3782e-03 eta: 1 day, 19:46:55 time: 0.3926 data_time: 0.0145 memory: 17007 grad_norm: 6.8174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0085 loss: 2.0085 2022/07/28 00:29:52 - mmengine - INFO - Epoch(train) [75][1320/3757] lr: 6.3782e-03 eta: 1 day, 19:46:47 time: 0.3962 data_time: 0.0154 memory: 17007 grad_norm: 6.8696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8487 loss: 1.8487 2022/07/28 00:30:00 - mmengine - INFO - Epoch(train) [75][1340/3757] lr: 6.3782e-03 eta: 1 day, 19:46:39 time: 0.3922 data_time: 0.0140 memory: 17007 grad_norm: 6.8998 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1976 loss: 2.1976 2022/07/28 00:30:08 - mmengine - INFO - Epoch(train) [75][1360/3757] lr: 6.3782e-03 eta: 1 day, 19:46:31 time: 0.4035 data_time: 0.0165 memory: 17007 grad_norm: 6.8317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2970 loss: 2.2970 2022/07/28 00:30:16 - mmengine - INFO - Epoch(train) [75][1380/3757] lr: 6.3782e-03 eta: 1 day, 19:46:23 time: 0.3925 data_time: 0.0146 memory: 17007 grad_norm: 6.5178 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0817 loss: 2.0817 2022/07/28 00:30:24 - mmengine - INFO - Epoch(train) [75][1400/3757] lr: 6.3782e-03 eta: 1 day, 19:46:15 time: 0.3932 data_time: 0.0149 memory: 17007 grad_norm: 6.7127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3542 loss: 2.3542 2022/07/28 00:30:32 - mmengine - INFO - Epoch(train) [75][1420/3757] lr: 6.3782e-03 eta: 1 day, 19:46:07 time: 0.3963 data_time: 0.0154 memory: 17007 grad_norm: 6.5949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0820 loss: 2.0820 2022/07/28 00:30:39 - mmengine - INFO - Epoch(train) [75][1440/3757] lr: 6.3782e-03 eta: 1 day, 19:45:59 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.6584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9702 loss: 1.9702 2022/07/28 00:30:48 - mmengine - INFO - Epoch(train) [75][1460/3757] lr: 6.3782e-03 eta: 1 day, 19:45:52 time: 0.4061 data_time: 0.0161 memory: 17007 grad_norm: 6.7729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0077 loss: 2.0077 2022/07/28 00:30:56 - mmengine - INFO - Epoch(train) [75][1480/3757] lr: 6.3782e-03 eta: 1 day, 19:45:44 time: 0.3931 data_time: 0.0157 memory: 17007 grad_norm: 6.5831 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9582 loss: 1.9582 2022/07/28 00:31:03 - mmengine - INFO - Epoch(train) [75][1500/3757] lr: 6.3782e-03 eta: 1 day, 19:45:36 time: 0.3961 data_time: 0.0164 memory: 17007 grad_norm: 6.6369 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3395 loss: 2.3395 2022/07/28 00:31:11 - mmengine - INFO - Epoch(train) [75][1520/3757] lr: 6.3782e-03 eta: 1 day, 19:45:28 time: 0.3919 data_time: 0.0149 memory: 17007 grad_norm: 6.8337 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1629 loss: 2.1629 2022/07/28 00:31:19 - mmengine - INFO - Epoch(train) [75][1540/3757] lr: 6.3782e-03 eta: 1 day, 19:45:20 time: 0.4016 data_time: 0.0167 memory: 17007 grad_norm: 6.8877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2103 loss: 2.2103 2022/07/28 00:31:27 - mmengine - INFO - Epoch(train) [75][1560/3757] lr: 6.3782e-03 eta: 1 day, 19:45:12 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 6.9153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1228 loss: 2.1228 2022/07/28 00:31:35 - mmengine - INFO - Epoch(train) [75][1580/3757] lr: 6.3782e-03 eta: 1 day, 19:45:04 time: 0.3969 data_time: 0.0153 memory: 17007 grad_norm: 6.6843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2283 loss: 2.2283 2022/07/28 00:31:43 - mmengine - INFO - Epoch(train) [75][1600/3757] lr: 6.3782e-03 eta: 1 day, 19:44:56 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 6.5873 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8688 loss: 1.8688 2022/07/28 00:31:51 - mmengine - INFO - Epoch(train) [75][1620/3757] lr: 6.3782e-03 eta: 1 day, 19:44:48 time: 0.4035 data_time: 0.0142 memory: 17007 grad_norm: 6.6781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0623 loss: 2.0623 2022/07/28 00:31:59 - mmengine - INFO - Epoch(train) [75][1640/3757] lr: 6.3782e-03 eta: 1 day, 19:44:40 time: 0.3964 data_time: 0.0170 memory: 17007 grad_norm: 6.7369 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2557 loss: 2.2557 2022/07/28 00:32:07 - mmengine - INFO - Epoch(train) [75][1660/3757] lr: 6.3782e-03 eta: 1 day, 19:44:32 time: 0.3980 data_time: 0.0150 memory: 17007 grad_norm: 6.8970 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3379 loss: 2.3379 2022/07/28 00:32:15 - mmengine - INFO - Epoch(train) [75][1680/3757] lr: 6.3782e-03 eta: 1 day, 19:44:24 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 7.0653 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2315 loss: 2.2315 2022/07/28 00:32:23 - mmengine - INFO - Epoch(train) [75][1700/3757] lr: 6.3782e-03 eta: 1 day, 19:44:16 time: 0.3925 data_time: 0.0126 memory: 17007 grad_norm: 6.8493 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0692 loss: 2.0692 2022/07/28 00:32:31 - mmengine - INFO - Epoch(train) [75][1720/3757] lr: 6.3782e-03 eta: 1 day, 19:44:08 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 6.8932 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1418 loss: 2.1418 2022/07/28 00:32:39 - mmengine - INFO - Epoch(train) [75][1740/3757] lr: 6.3782e-03 eta: 1 day, 19:44:00 time: 0.4028 data_time: 0.0165 memory: 17007 grad_norm: 6.7267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3242 loss: 2.3242 2022/07/28 00:32:47 - mmengine - INFO - Epoch(train) [75][1760/3757] lr: 6.3782e-03 eta: 1 day, 19:43:52 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 6.8151 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9899 loss: 1.9899 2022/07/28 00:32:54 - mmengine - INFO - Epoch(train) [75][1780/3757] lr: 6.3782e-03 eta: 1 day, 19:43:44 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.7263 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1210 loss: 2.1210 2022/07/28 00:33:02 - mmengine - INFO - Epoch(train) [75][1800/3757] lr: 6.3782e-03 eta: 1 day, 19:43:36 time: 0.3973 data_time: 0.0161 memory: 17007 grad_norm: 7.1092 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1374 loss: 2.1374 2022/07/28 00:33:12 - mmengine - INFO - Epoch(train) [75][1820/3757] lr: 6.3782e-03 eta: 1 day, 19:43:31 time: 0.4834 data_time: 0.1033 memory: 17007 grad_norm: 6.8010 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3151 loss: 2.3151 2022/07/28 00:33:20 - mmengine - INFO - Epoch(train) [75][1840/3757] lr: 6.3782e-03 eta: 1 day, 19:43:23 time: 0.3960 data_time: 0.0133 memory: 17007 grad_norm: 6.7351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1556 loss: 2.1556 2022/07/28 00:33:28 - mmengine - INFO - Epoch(train) [75][1860/3757] lr: 6.3782e-03 eta: 1 day, 19:43:15 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 6.6667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4171 loss: 2.4171 2022/07/28 00:33:36 - mmengine - INFO - Epoch(train) [75][1880/3757] lr: 6.3782e-03 eta: 1 day, 19:43:07 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 6.6414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0378 loss: 2.0378 2022/07/28 00:33:44 - mmengine - INFO - Epoch(train) [75][1900/3757] lr: 6.3782e-03 eta: 1 day, 19:42:59 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 6.6980 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0521 loss: 2.0521 2022/07/28 00:33:52 - mmengine - INFO - Epoch(train) [75][1920/3757] lr: 6.3782e-03 eta: 1 day, 19:42:51 time: 0.3959 data_time: 0.0159 memory: 17007 grad_norm: 7.0803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7101 loss: 2.7101 2022/07/28 00:34:00 - mmengine - INFO - Epoch(train) [75][1940/3757] lr: 6.3782e-03 eta: 1 day, 19:42:43 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 6.8519 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2801 loss: 2.2801 2022/07/28 00:34:07 - mmengine - INFO - Epoch(train) [75][1960/3757] lr: 6.3782e-03 eta: 1 day, 19:42:35 time: 0.3976 data_time: 0.0162 memory: 17007 grad_norm: 6.8800 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2380 loss: 2.2380 2022/07/28 00:34:16 - mmengine - INFO - Epoch(train) [75][1980/3757] lr: 6.3782e-03 eta: 1 day, 19:42:27 time: 0.4042 data_time: 0.0149 memory: 17007 grad_norm: 6.7527 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1529 loss: 2.1529 2022/07/28 00:34:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:34:23 - mmengine - INFO - Epoch(train) [75][2000/3757] lr: 6.3782e-03 eta: 1 day, 19:42:19 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 6.9875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1248 loss: 2.1248 2022/07/28 00:34:32 - mmengine - INFO - Epoch(train) [75][2020/3757] lr: 6.3782e-03 eta: 1 day, 19:42:11 time: 0.4021 data_time: 0.0148 memory: 17007 grad_norm: 6.7746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9763 loss: 1.9763 2022/07/28 00:34:40 - mmengine - INFO - Epoch(train) [75][2040/3757] lr: 6.3782e-03 eta: 1 day, 19:42:04 time: 0.4261 data_time: 0.0162 memory: 17007 grad_norm: 7.0173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3361 loss: 2.3361 2022/07/28 00:34:48 - mmengine - INFO - Epoch(train) [75][2060/3757] lr: 6.3782e-03 eta: 1 day, 19:41:56 time: 0.3942 data_time: 0.0163 memory: 17007 grad_norm: 6.9513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4978 loss: 2.4978 2022/07/28 00:34:56 - mmengine - INFO - Epoch(train) [75][2080/3757] lr: 6.3782e-03 eta: 1 day, 19:41:48 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 6.6948 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1416 loss: 2.1416 2022/07/28 00:35:04 - mmengine - INFO - Epoch(train) [75][2100/3757] lr: 6.3782e-03 eta: 1 day, 19:41:40 time: 0.3934 data_time: 0.0143 memory: 17007 grad_norm: 7.0238 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4333 loss: 2.4333 2022/07/28 00:35:12 - mmengine - INFO - Epoch(train) [75][2120/3757] lr: 6.3782e-03 eta: 1 day, 19:41:32 time: 0.3932 data_time: 0.0162 memory: 17007 grad_norm: 6.6593 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2463 loss: 2.2463 2022/07/28 00:35:20 - mmengine - INFO - Epoch(train) [75][2140/3757] lr: 6.3782e-03 eta: 1 day, 19:41:24 time: 0.3957 data_time: 0.0150 memory: 17007 grad_norm: 6.7820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9878 loss: 1.9878 2022/07/28 00:35:27 - mmengine - INFO - Epoch(train) [75][2160/3757] lr: 6.3782e-03 eta: 1 day, 19:41:16 time: 0.3949 data_time: 0.0171 memory: 17007 grad_norm: 6.8374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2406 loss: 2.2406 2022/07/28 00:35:35 - mmengine - INFO - Epoch(train) [75][2180/3757] lr: 6.3782e-03 eta: 1 day, 19:41:08 time: 0.4013 data_time: 0.0147 memory: 17007 grad_norm: 6.8362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1999 loss: 2.1999 2022/07/28 00:35:43 - mmengine - INFO - Epoch(train) [75][2200/3757] lr: 6.3782e-03 eta: 1 day, 19:41:00 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 6.8753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8084 loss: 1.8084 2022/07/28 00:35:51 - mmengine - INFO - Epoch(train) [75][2220/3757] lr: 6.3782e-03 eta: 1 day, 19:40:52 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 6.7180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0765 loss: 2.0765 2022/07/28 00:35:59 - mmengine - INFO - Epoch(train) [75][2240/3757] lr: 6.3782e-03 eta: 1 day, 19:40:44 time: 0.3952 data_time: 0.0161 memory: 17007 grad_norm: 6.6623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8638 loss: 1.8638 2022/07/28 00:36:07 - mmengine - INFO - Epoch(train) [75][2260/3757] lr: 6.3782e-03 eta: 1 day, 19:40:36 time: 0.3920 data_time: 0.0143 memory: 17007 grad_norm: 6.5367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1386 loss: 2.1386 2022/07/28 00:36:15 - mmengine - INFO - Epoch(train) [75][2280/3757] lr: 6.3782e-03 eta: 1 day, 19:40:28 time: 0.3931 data_time: 0.0158 memory: 17007 grad_norm: 6.9765 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4213 loss: 2.4213 2022/07/28 00:36:23 - mmengine - INFO - Epoch(train) [75][2300/3757] lr: 6.3782e-03 eta: 1 day, 19:40:20 time: 0.3929 data_time: 0.0145 memory: 17007 grad_norm: 6.7117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0866 loss: 2.0866 2022/07/28 00:36:31 - mmengine - INFO - Epoch(train) [75][2320/3757] lr: 6.3782e-03 eta: 1 day, 19:40:12 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 6.9682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3221 loss: 2.3221 2022/07/28 00:36:39 - mmengine - INFO - Epoch(train) [75][2340/3757] lr: 6.3782e-03 eta: 1 day, 19:40:04 time: 0.3981 data_time: 0.0156 memory: 17007 grad_norm: 6.8052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9375 loss: 1.9375 2022/07/28 00:36:46 - mmengine - INFO - Epoch(train) [75][2360/3757] lr: 6.3782e-03 eta: 1 day, 19:39:56 time: 0.3947 data_time: 0.0150 memory: 17007 grad_norm: 6.7924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2336 loss: 2.2336 2022/07/28 00:36:54 - mmengine - INFO - Epoch(train) [75][2380/3757] lr: 6.3782e-03 eta: 1 day, 19:39:48 time: 0.3927 data_time: 0.0146 memory: 17007 grad_norm: 6.8141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0274 loss: 2.0274 2022/07/28 00:37:02 - mmengine - INFO - Epoch(train) [75][2400/3757] lr: 6.3782e-03 eta: 1 day, 19:39:40 time: 0.3958 data_time: 0.0162 memory: 17007 grad_norm: 6.8830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0395 loss: 2.0395 2022/07/28 00:37:10 - mmengine - INFO - Epoch(train) [75][2420/3757] lr: 6.3782e-03 eta: 1 day, 19:39:32 time: 0.3923 data_time: 0.0132 memory: 17007 grad_norm: 6.7877 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3661 loss: 2.3661 2022/07/28 00:37:18 - mmengine - INFO - Epoch(train) [75][2440/3757] lr: 6.3782e-03 eta: 1 day, 19:39:24 time: 0.3990 data_time: 0.0160 memory: 17007 grad_norm: 6.8575 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0672 loss: 2.0672 2022/07/28 00:37:26 - mmengine - INFO - Epoch(train) [75][2460/3757] lr: 6.3782e-03 eta: 1 day, 19:39:16 time: 0.3944 data_time: 0.0142 memory: 17007 grad_norm: 6.7706 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2474 loss: 2.2474 2022/07/28 00:37:34 - mmengine - INFO - Epoch(train) [75][2480/3757] lr: 6.3782e-03 eta: 1 day, 19:39:08 time: 0.3958 data_time: 0.0164 memory: 17007 grad_norm: 7.1266 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3855 loss: 2.3855 2022/07/28 00:37:42 - mmengine - INFO - Epoch(train) [75][2500/3757] lr: 6.3782e-03 eta: 1 day, 19:39:00 time: 0.3926 data_time: 0.0139 memory: 17007 grad_norm: 6.7493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1735 loss: 2.1735 2022/07/28 00:37:50 - mmengine - INFO - Epoch(train) [75][2520/3757] lr: 6.3782e-03 eta: 1 day, 19:38:52 time: 0.4059 data_time: 0.0164 memory: 17007 grad_norm: 6.8519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9684 loss: 1.9684 2022/07/28 00:37:58 - mmengine - INFO - Epoch(train) [75][2540/3757] lr: 6.3782e-03 eta: 1 day, 19:38:44 time: 0.3956 data_time: 0.0154 memory: 17007 grad_norm: 6.9817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3345 loss: 2.3345 2022/07/28 00:38:06 - mmengine - INFO - Epoch(train) [75][2560/3757] lr: 6.3782e-03 eta: 1 day, 19:38:36 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 7.2477 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2143 loss: 2.2143 2022/07/28 00:38:14 - mmengine - INFO - Epoch(train) [75][2580/3757] lr: 6.3782e-03 eta: 1 day, 19:38:28 time: 0.3932 data_time: 0.0149 memory: 17007 grad_norm: 6.8196 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9191 loss: 1.9191 2022/07/28 00:38:22 - mmengine - INFO - Epoch(train) [75][2600/3757] lr: 6.3782e-03 eta: 1 day, 19:38:20 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 6.7575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1386 loss: 2.1386 2022/07/28 00:38:29 - mmengine - INFO - Epoch(train) [75][2620/3757] lr: 6.3782e-03 eta: 1 day, 19:38:12 time: 0.3960 data_time: 0.0163 memory: 17007 grad_norm: 7.1396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1223 loss: 2.1223 2022/07/28 00:38:37 - mmengine - INFO - Epoch(train) [75][2640/3757] lr: 6.3782e-03 eta: 1 day, 19:38:04 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.6724 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0927 loss: 2.0927 2022/07/28 00:38:45 - mmengine - INFO - Epoch(train) [75][2660/3757] lr: 6.3782e-03 eta: 1 day, 19:37:56 time: 0.3914 data_time: 0.0130 memory: 17007 grad_norm: 6.7110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3202 loss: 2.3202 2022/07/28 00:38:53 - mmengine - INFO - Epoch(train) [75][2680/3757] lr: 6.3782e-03 eta: 1 day, 19:37:48 time: 0.3999 data_time: 0.0158 memory: 17007 grad_norm: 6.7493 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1071 loss: 2.1071 2022/07/28 00:39:01 - mmengine - INFO - Epoch(train) [75][2700/3757] lr: 6.3782e-03 eta: 1 day, 19:37:40 time: 0.3956 data_time: 0.0146 memory: 17007 grad_norm: 7.0199 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3557 loss: 2.3557 2022/07/28 00:39:09 - mmengine - INFO - Epoch(train) [75][2720/3757] lr: 6.3782e-03 eta: 1 day, 19:37:32 time: 0.4027 data_time: 0.0157 memory: 17007 grad_norm: 6.6536 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1215 loss: 2.1215 2022/07/28 00:39:17 - mmengine - INFO - Epoch(train) [75][2740/3757] lr: 6.3782e-03 eta: 1 day, 19:37:24 time: 0.3947 data_time: 0.0145 memory: 17007 grad_norm: 6.6329 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3383 loss: 2.3383 2022/07/28 00:39:25 - mmengine - INFO - Epoch(train) [75][2760/3757] lr: 6.3782e-03 eta: 1 day, 19:37:16 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 6.6826 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4434 loss: 2.4434 2022/07/28 00:39:33 - mmengine - INFO - Epoch(train) [75][2780/3757] lr: 6.3782e-03 eta: 1 day, 19:37:09 time: 0.4210 data_time: 0.0159 memory: 17007 grad_norm: 7.7226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9509 loss: 1.9509 2022/07/28 00:39:41 - mmengine - INFO - Epoch(train) [75][2800/3757] lr: 6.3782e-03 eta: 1 day, 19:37:01 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 7.1989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0686 loss: 2.0686 2022/07/28 00:39:50 - mmengine - INFO - Epoch(train) [75][2820/3757] lr: 6.3782e-03 eta: 1 day, 19:36:54 time: 0.4140 data_time: 0.0151 memory: 17007 grad_norm: 6.7886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9504 loss: 1.9504 2022/07/28 00:39:57 - mmengine - INFO - Epoch(train) [75][2840/3757] lr: 6.3782e-03 eta: 1 day, 19:36:46 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 6.8670 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1755 loss: 2.1755 2022/07/28 00:40:05 - mmengine - INFO - Epoch(train) [75][2860/3757] lr: 6.3782e-03 eta: 1 day, 19:36:37 time: 0.3923 data_time: 0.0140 memory: 17007 grad_norm: 6.8082 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/07/28 00:40:13 - mmengine - INFO - Epoch(train) [75][2880/3757] lr: 6.3782e-03 eta: 1 day, 19:36:30 time: 0.4020 data_time: 0.0162 memory: 17007 grad_norm: 6.6590 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9127 loss: 1.9127 2022/07/28 00:40:21 - mmengine - INFO - Epoch(train) [75][2900/3757] lr: 6.3782e-03 eta: 1 day, 19:36:22 time: 0.3935 data_time: 0.0138 memory: 17007 grad_norm: 6.8540 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9966 loss: 1.9966 2022/07/28 00:40:29 - mmengine - INFO - Epoch(train) [75][2920/3757] lr: 6.3782e-03 eta: 1 day, 19:36:14 time: 0.3971 data_time: 0.0160 memory: 17007 grad_norm: 6.8788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3433 loss: 2.3433 2022/07/28 00:40:37 - mmengine - INFO - Epoch(train) [75][2940/3757] lr: 6.3782e-03 eta: 1 day, 19:36:06 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 6.3917 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1546 loss: 2.1546 2022/07/28 00:40:45 - mmengine - INFO - Epoch(train) [75][2960/3757] lr: 6.3782e-03 eta: 1 day, 19:35:58 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 6.6950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0195 loss: 2.0195 2022/07/28 00:40:53 - mmengine - INFO - Epoch(train) [75][2980/3757] lr: 6.3782e-03 eta: 1 day, 19:35:50 time: 0.4015 data_time: 0.0150 memory: 17007 grad_norm: 6.6551 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9962 loss: 1.9962 2022/07/28 00:40:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:41:01 - mmengine - INFO - Epoch(train) [75][3000/3757] lr: 6.3782e-03 eta: 1 day, 19:35:42 time: 0.3927 data_time: 0.0146 memory: 17007 grad_norm: 6.7407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2683 loss: 2.2683 2022/07/28 00:41:09 - mmengine - INFO - Epoch(train) [75][3020/3757] lr: 6.3782e-03 eta: 1 day, 19:35:34 time: 0.4156 data_time: 0.0146 memory: 17007 grad_norm: 6.9693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0732 loss: 2.0732 2022/07/28 00:41:17 - mmengine - INFO - Epoch(train) [75][3040/3757] lr: 6.3782e-03 eta: 1 day, 19:35:26 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 6.9620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0629 loss: 2.0629 2022/07/28 00:41:25 - mmengine - INFO - Epoch(train) [75][3060/3757] lr: 6.3782e-03 eta: 1 day, 19:35:18 time: 0.3917 data_time: 0.0147 memory: 17007 grad_norm: 6.5183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7997 loss: 1.7997 2022/07/28 00:41:33 - mmengine - INFO - Epoch(train) [75][3080/3757] lr: 6.3782e-03 eta: 1 day, 19:35:10 time: 0.4055 data_time: 0.0167 memory: 17007 grad_norm: 7.0883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5177 loss: 2.5177 2022/07/28 00:41:41 - mmengine - INFO - Epoch(train) [75][3100/3757] lr: 6.3782e-03 eta: 1 day, 19:35:02 time: 0.3930 data_time: 0.0133 memory: 17007 grad_norm: 6.7894 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1963 loss: 2.1963 2022/07/28 00:41:49 - mmengine - INFO - Epoch(train) [75][3120/3757] lr: 6.3782e-03 eta: 1 day, 19:34:54 time: 0.3987 data_time: 0.0166 memory: 17007 grad_norm: 6.9425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0546 loss: 2.0546 2022/07/28 00:41:57 - mmengine - INFO - Epoch(train) [75][3140/3757] lr: 6.3782e-03 eta: 1 day, 19:34:46 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 6.8244 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9012 loss: 1.9012 2022/07/28 00:42:05 - mmengine - INFO - Epoch(train) [75][3160/3757] lr: 6.3782e-03 eta: 1 day, 19:34:38 time: 0.3931 data_time: 0.0156 memory: 17007 grad_norm: 6.7535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2809 loss: 2.2809 2022/07/28 00:42:13 - mmengine - INFO - Epoch(train) [75][3180/3757] lr: 6.3782e-03 eta: 1 day, 19:34:30 time: 0.3971 data_time: 0.0150 memory: 17007 grad_norm: 6.6576 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2115 loss: 2.2115 2022/07/28 00:42:20 - mmengine - INFO - Epoch(train) [75][3200/3757] lr: 6.3782e-03 eta: 1 day, 19:34:22 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 6.9071 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2758 loss: 2.2758 2022/07/28 00:42:29 - mmengine - INFO - Epoch(train) [75][3220/3757] lr: 6.3782e-03 eta: 1 day, 19:34:15 time: 0.4064 data_time: 0.0154 memory: 17007 grad_norm: 6.8482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0869 loss: 2.0869 2022/07/28 00:42:36 - mmengine - INFO - Epoch(train) [75][3240/3757] lr: 6.3782e-03 eta: 1 day, 19:34:07 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 6.8508 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3003 loss: 2.3003 2022/07/28 00:42:44 - mmengine - INFO - Epoch(train) [75][3260/3757] lr: 6.3782e-03 eta: 1 day, 19:33:59 time: 0.3926 data_time: 0.0143 memory: 17007 grad_norm: 6.6343 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1356 loss: 2.1356 2022/07/28 00:42:52 - mmengine - INFO - Epoch(train) [75][3280/3757] lr: 6.3782e-03 eta: 1 day, 19:33:51 time: 0.3972 data_time: 0.0165 memory: 17007 grad_norm: 6.8483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1282 loss: 2.1282 2022/07/28 00:43:00 - mmengine - INFO - Epoch(train) [75][3300/3757] lr: 6.3782e-03 eta: 1 day, 19:33:43 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 6.7830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9179 loss: 1.9179 2022/07/28 00:43:08 - mmengine - INFO - Epoch(train) [75][3320/3757] lr: 6.3782e-03 eta: 1 day, 19:33:35 time: 0.4019 data_time: 0.0161 memory: 17007 grad_norm: 6.9806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2731 loss: 2.2731 2022/07/28 00:43:16 - mmengine - INFO - Epoch(train) [75][3340/3757] lr: 6.3782e-03 eta: 1 day, 19:33:27 time: 0.3950 data_time: 0.0144 memory: 17007 grad_norm: 6.7769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9912 loss: 1.9912 2022/07/28 00:43:24 - mmengine - INFO - Epoch(train) [75][3360/3757] lr: 6.3782e-03 eta: 1 day, 19:33:19 time: 0.3920 data_time: 0.0148 memory: 17007 grad_norm: 6.7699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1521 loss: 2.1521 2022/07/28 00:43:32 - mmengine - INFO - Epoch(train) [75][3380/3757] lr: 6.3782e-03 eta: 1 day, 19:33:11 time: 0.3944 data_time: 0.0148 memory: 17007 grad_norm: 6.5477 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3661 loss: 2.3661 2022/07/28 00:43:40 - mmengine - INFO - Epoch(train) [75][3400/3757] lr: 6.3782e-03 eta: 1 day, 19:33:03 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 6.7073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1550 loss: 2.1550 2022/07/28 00:43:48 - mmengine - INFO - Epoch(train) [75][3420/3757] lr: 6.3782e-03 eta: 1 day, 19:32:55 time: 0.4044 data_time: 0.0161 memory: 17007 grad_norm: 6.6231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9133 loss: 1.9133 2022/07/28 00:43:56 - mmengine - INFO - Epoch(train) [75][3440/3757] lr: 6.3782e-03 eta: 1 day, 19:32:47 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 6.6666 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0676 loss: 2.0676 2022/07/28 00:44:04 - mmengine - INFO - Epoch(train) [75][3460/3757] lr: 6.3782e-03 eta: 1 day, 19:32:39 time: 0.3923 data_time: 0.0141 memory: 17007 grad_norm: 6.4933 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9815 loss: 1.9815 2022/07/28 00:44:12 - mmengine - INFO - Epoch(train) [75][3480/3757] lr: 6.3782e-03 eta: 1 day, 19:32:31 time: 0.3962 data_time: 0.0148 memory: 17007 grad_norm: 6.7414 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2581 loss: 2.2581 2022/07/28 00:44:19 - mmengine - INFO - Epoch(train) [75][3500/3757] lr: 6.3782e-03 eta: 1 day, 19:32:23 time: 0.3919 data_time: 0.0142 memory: 17007 grad_norm: 6.8902 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9740 loss: 1.9740 2022/07/28 00:44:27 - mmengine - INFO - Epoch(train) [75][3520/3757] lr: 6.3782e-03 eta: 1 day, 19:32:15 time: 0.4018 data_time: 0.0150 memory: 17007 grad_norm: 6.9888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1846 loss: 2.1846 2022/07/28 00:44:35 - mmengine - INFO - Epoch(train) [75][3540/3757] lr: 6.3782e-03 eta: 1 day, 19:32:07 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 7.0352 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1661 loss: 2.1661 2022/07/28 00:44:43 - mmengine - INFO - Epoch(train) [75][3560/3757] lr: 6.3782e-03 eta: 1 day, 19:31:59 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 6.7446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2539 loss: 2.2539 2022/07/28 00:44:51 - mmengine - INFO - Epoch(train) [75][3580/3757] lr: 6.3782e-03 eta: 1 day, 19:31:51 time: 0.3991 data_time: 0.0143 memory: 17007 grad_norm: 6.6202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1323 loss: 2.1323 2022/07/28 00:44:59 - mmengine - INFO - Epoch(train) [75][3600/3757] lr: 6.3782e-03 eta: 1 day, 19:31:43 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 6.6870 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0826 loss: 2.0826 2022/07/28 00:45:07 - mmengine - INFO - Epoch(train) [75][3620/3757] lr: 6.3782e-03 eta: 1 day, 19:31:35 time: 0.4024 data_time: 0.0139 memory: 17007 grad_norm: 6.8876 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3615 loss: 2.3615 2022/07/28 00:45:15 - mmengine - INFO - Epoch(train) [75][3640/3757] lr: 6.3782e-03 eta: 1 day, 19:31:27 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 6.7166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0506 loss: 2.0506 2022/07/28 00:45:23 - mmengine - INFO - Epoch(train) [75][3660/3757] lr: 6.3782e-03 eta: 1 day, 19:31:19 time: 0.3927 data_time: 0.0142 memory: 17007 grad_norm: 6.6138 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9942 loss: 1.9942 2022/07/28 00:45:32 - mmengine - INFO - Epoch(train) [75][3680/3757] lr: 6.3782e-03 eta: 1 day, 19:31:12 time: 0.4378 data_time: 0.0159 memory: 17007 grad_norm: 6.6800 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9965 loss: 1.9965 2022/07/28 00:45:40 - mmengine - INFO - Epoch(train) [75][3700/3757] lr: 6.3782e-03 eta: 1 day, 19:31:04 time: 0.3929 data_time: 0.0152 memory: 17007 grad_norm: 6.6158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2115 loss: 2.2115 2022/07/28 00:45:48 - mmengine - INFO - Epoch(train) [75][3720/3757] lr: 6.3782e-03 eta: 1 day, 19:30:57 time: 0.4033 data_time: 0.0158 memory: 17007 grad_norm: 6.8104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1549 loss: 2.1549 2022/07/28 00:45:55 - mmengine - INFO - Epoch(train) [75][3740/3757] lr: 6.3782e-03 eta: 1 day, 19:30:48 time: 0.3925 data_time: 0.0148 memory: 17007 grad_norm: 6.5875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9124 loss: 1.9124 2022/07/28 00:46:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:46:02 - mmengine - INFO - Epoch(train) [75][3757/3757] lr: 6.3782e-03 eta: 1 day, 19:30:48 time: 0.3905 data_time: 0.0166 memory: 17007 grad_norm: 6.5724 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0091 loss: 2.0091 2022/07/28 00:46:02 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/07/28 00:46:15 - mmengine - INFO - Epoch(train) [76][20/3757] lr: 6.2941e-03 eta: 1 day, 19:30:26 time: 0.4484 data_time: 0.0697 memory: 17007 grad_norm: 6.5824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8186 loss: 1.8186 2022/07/28 00:46:22 - mmengine - INFO - Epoch(train) [76][40/3757] lr: 6.2941e-03 eta: 1 day, 19:30:18 time: 0.3960 data_time: 0.0155 memory: 17007 grad_norm: 6.5143 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2464 loss: 2.2464 2022/07/28 00:46:30 - mmengine - INFO - Epoch(train) [76][60/3757] lr: 6.2941e-03 eta: 1 day, 19:30:10 time: 0.3935 data_time: 0.0160 memory: 17007 grad_norm: 6.6811 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6976 loss: 1.6976 2022/07/28 00:46:38 - mmengine - INFO - Epoch(train) [76][80/3757] lr: 6.2941e-03 eta: 1 day, 19:30:02 time: 0.3963 data_time: 0.0160 memory: 17007 grad_norm: 6.3182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1373 loss: 2.1373 2022/07/28 00:46:46 - mmengine - INFO - Epoch(train) [76][100/3757] lr: 6.2941e-03 eta: 1 day, 19:29:54 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 6.6981 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3734 loss: 2.3734 2022/07/28 00:46:54 - mmengine - INFO - Epoch(train) [76][120/3757] lr: 6.2941e-03 eta: 1 day, 19:29:46 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.6101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9543 loss: 1.9543 2022/07/28 00:47:02 - mmengine - INFO - Epoch(train) [76][140/3757] lr: 6.2941e-03 eta: 1 day, 19:29:38 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 6.8355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8809 loss: 1.8809 2022/07/28 00:47:10 - mmengine - INFO - Epoch(train) [76][160/3757] lr: 6.2941e-03 eta: 1 day, 19:29:30 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 6.7185 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2411 loss: 2.2411 2022/07/28 00:47:18 - mmengine - INFO - Epoch(train) [76][180/3757] lr: 6.2941e-03 eta: 1 day, 19:29:22 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 6.8091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9327 loss: 1.9327 2022/07/28 00:47:26 - mmengine - INFO - Epoch(train) [76][200/3757] lr: 6.2941e-03 eta: 1 day, 19:29:14 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 6.7844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9058 loss: 1.9058 2022/07/28 00:47:33 - mmengine - INFO - Epoch(train) [76][220/3757] lr: 6.2941e-03 eta: 1 day, 19:29:06 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 6.7201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1662 loss: 2.1662 2022/07/28 00:47:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:47:41 - mmengine - INFO - Epoch(train) [76][240/3757] lr: 6.2941e-03 eta: 1 day, 19:28:58 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 6.9537 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9045 loss: 1.9045 2022/07/28 00:47:49 - mmengine - INFO - Epoch(train) [76][260/3757] lr: 6.2941e-03 eta: 1 day, 19:28:50 time: 0.3950 data_time: 0.0166 memory: 17007 grad_norm: 6.8645 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1930 loss: 2.1930 2022/07/28 00:47:57 - mmengine - INFO - Epoch(train) [76][280/3757] lr: 6.2941e-03 eta: 1 day, 19:28:42 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 6.9425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2096 loss: 2.2096 2022/07/28 00:48:05 - mmengine - INFO - Epoch(train) [76][300/3757] lr: 6.2941e-03 eta: 1 day, 19:28:33 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 7.1139 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1314 loss: 2.1314 2022/07/28 00:48:13 - mmengine - INFO - Epoch(train) [76][320/3757] lr: 6.2941e-03 eta: 1 day, 19:28:25 time: 0.3949 data_time: 0.0154 memory: 17007 grad_norm: 6.7508 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0323 loss: 2.0323 2022/07/28 00:48:21 - mmengine - INFO - Epoch(train) [76][340/3757] lr: 6.2941e-03 eta: 1 day, 19:28:18 time: 0.3957 data_time: 0.0168 memory: 17007 grad_norm: 6.8503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3099 loss: 2.3099 2022/07/28 00:48:29 - mmengine - INFO - Epoch(train) [76][360/3757] lr: 6.2941e-03 eta: 1 day, 19:28:10 time: 0.3974 data_time: 0.0141 memory: 17007 grad_norm: 6.9118 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4131 loss: 2.4131 2022/07/28 00:48:37 - mmengine - INFO - Epoch(train) [76][380/3757] lr: 6.2941e-03 eta: 1 day, 19:28:02 time: 0.3949 data_time: 0.0161 memory: 17007 grad_norm: 6.8497 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0176 loss: 2.0176 2022/07/28 00:48:45 - mmengine - INFO - Epoch(train) [76][400/3757] lr: 6.2941e-03 eta: 1 day, 19:27:54 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.8474 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3727 loss: 2.3727 2022/07/28 00:48:53 - mmengine - INFO - Epoch(train) [76][420/3757] lr: 6.2941e-03 eta: 1 day, 19:27:46 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 6.7861 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2645 loss: 2.2645 2022/07/28 00:49:00 - mmengine - INFO - Epoch(train) [76][440/3757] lr: 6.2941e-03 eta: 1 day, 19:27:38 time: 0.3950 data_time: 0.0152 memory: 17007 grad_norm: 6.6771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4582 loss: 2.4582 2022/07/28 00:49:08 - mmengine - INFO - Epoch(train) [76][460/3757] lr: 6.2941e-03 eta: 1 day, 19:27:30 time: 0.3988 data_time: 0.0152 memory: 17007 grad_norm: 6.9759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2774 loss: 2.2774 2022/07/28 00:49:16 - mmengine - INFO - Epoch(train) [76][480/3757] lr: 6.2941e-03 eta: 1 day, 19:27:22 time: 0.3927 data_time: 0.0146 memory: 17007 grad_norm: 6.6934 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2432 loss: 2.2432 2022/07/28 00:49:24 - mmengine - INFO - Epoch(train) [76][500/3757] lr: 6.2941e-03 eta: 1 day, 19:27:14 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 6.8335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1582 loss: 2.1582 2022/07/28 00:49:32 - mmengine - INFO - Epoch(train) [76][520/3757] lr: 6.2941e-03 eta: 1 day, 19:27:06 time: 0.3964 data_time: 0.0159 memory: 17007 grad_norm: 6.9564 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1724 loss: 2.1724 2022/07/28 00:49:40 - mmengine - INFO - Epoch(train) [76][540/3757] lr: 6.2941e-03 eta: 1 day, 19:26:58 time: 0.3947 data_time: 0.0162 memory: 17007 grad_norm: 6.8687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2219 loss: 2.2219 2022/07/28 00:49:48 - mmengine - INFO - Epoch(train) [76][560/3757] lr: 6.2941e-03 eta: 1 day, 19:26:50 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 6.5350 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0445 loss: 2.0445 2022/07/28 00:49:56 - mmengine - INFO - Epoch(train) [76][580/3757] lr: 6.2941e-03 eta: 1 day, 19:26:42 time: 0.3945 data_time: 0.0149 memory: 17007 grad_norm: 6.8952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0500 loss: 2.0500 2022/07/28 00:50:04 - mmengine - INFO - Epoch(train) [76][600/3757] lr: 6.2941e-03 eta: 1 day, 19:26:34 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 6.5899 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1827 loss: 2.1827 2022/07/28 00:50:12 - mmengine - INFO - Epoch(train) [76][620/3757] lr: 6.2941e-03 eta: 1 day, 19:26:26 time: 0.3992 data_time: 0.0154 memory: 17007 grad_norm: 6.7174 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0351 loss: 2.0351 2022/07/28 00:50:20 - mmengine - INFO - Epoch(train) [76][640/3757] lr: 6.2941e-03 eta: 1 day, 19:26:18 time: 0.3930 data_time: 0.0162 memory: 17007 grad_norm: 6.8680 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2178 loss: 2.2178 2022/07/28 00:50:27 - mmengine - INFO - Epoch(train) [76][660/3757] lr: 6.2941e-03 eta: 1 day, 19:26:10 time: 0.3930 data_time: 0.0161 memory: 17007 grad_norm: 6.9477 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3225 loss: 2.3225 2022/07/28 00:50:35 - mmengine - INFO - Epoch(train) [76][680/3757] lr: 6.2941e-03 eta: 1 day, 19:26:02 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 7.0175 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1016 loss: 2.1016 2022/07/28 00:50:43 - mmengine - INFO - Epoch(train) [76][700/3757] lr: 6.2941e-03 eta: 1 day, 19:25:54 time: 0.3949 data_time: 0.0160 memory: 17007 grad_norm: 6.6923 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3161 loss: 2.3161 2022/07/28 00:50:51 - mmengine - INFO - Epoch(train) [76][720/3757] lr: 6.2941e-03 eta: 1 day, 19:25:46 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 6.6151 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7875 loss: 1.7875 2022/07/28 00:50:59 - mmengine - INFO - Epoch(train) [76][740/3757] lr: 6.2941e-03 eta: 1 day, 19:25:38 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 6.8781 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0047 loss: 2.0047 2022/07/28 00:51:07 - mmengine - INFO - Epoch(train) [76][760/3757] lr: 6.2941e-03 eta: 1 day, 19:25:30 time: 0.4012 data_time: 0.0161 memory: 17007 grad_norm: 7.0473 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8408 loss: 1.8408 2022/07/28 00:51:15 - mmengine - INFO - Epoch(train) [76][780/3757] lr: 6.2941e-03 eta: 1 day, 19:25:22 time: 0.3925 data_time: 0.0144 memory: 17007 grad_norm: 6.6364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6915 loss: 1.6915 2022/07/28 00:51:23 - mmengine - INFO - Epoch(train) [76][800/3757] lr: 6.2941e-03 eta: 1 day, 19:25:14 time: 0.3934 data_time: 0.0152 memory: 17007 grad_norm: 6.8354 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9410 loss: 1.9410 2022/07/28 00:51:31 - mmengine - INFO - Epoch(train) [76][820/3757] lr: 6.2941e-03 eta: 1 day, 19:25:06 time: 0.4059 data_time: 0.0156 memory: 17007 grad_norm: 6.6740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1733 loss: 2.1733 2022/07/28 00:51:39 - mmengine - INFO - Epoch(train) [76][840/3757] lr: 6.2941e-03 eta: 1 day, 19:24:58 time: 0.4018 data_time: 0.0159 memory: 17007 grad_norm: 6.9568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0983 loss: 2.0983 2022/07/28 00:51:47 - mmengine - INFO - Epoch(train) [76][860/3757] lr: 6.2941e-03 eta: 1 day, 19:24:50 time: 0.3996 data_time: 0.0140 memory: 17007 grad_norm: 6.7559 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1951 loss: 2.1951 2022/07/28 00:51:55 - mmengine - INFO - Epoch(train) [76][880/3757] lr: 6.2941e-03 eta: 1 day, 19:24:42 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 6.8248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9384 loss: 1.9384 2022/07/28 00:52:03 - mmengine - INFO - Epoch(train) [76][900/3757] lr: 6.2941e-03 eta: 1 day, 19:24:34 time: 0.3990 data_time: 0.0158 memory: 17007 grad_norm: 6.7916 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4509 loss: 2.4509 2022/07/28 00:52:11 - mmengine - INFO - Epoch(train) [76][920/3757] lr: 6.2941e-03 eta: 1 day, 19:24:26 time: 0.3939 data_time: 0.0153 memory: 17007 grad_norm: 6.9142 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1925 loss: 2.1925 2022/07/28 00:52:19 - mmengine - INFO - Epoch(train) [76][940/3757] lr: 6.2941e-03 eta: 1 day, 19:24:18 time: 0.4008 data_time: 0.0157 memory: 17007 grad_norm: 6.5883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0017 loss: 2.0017 2022/07/28 00:52:27 - mmengine - INFO - Epoch(train) [76][960/3757] lr: 6.2941e-03 eta: 1 day, 19:24:10 time: 0.3929 data_time: 0.0142 memory: 17007 grad_norm: 6.7586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1833 loss: 2.1833 2022/07/28 00:52:35 - mmengine - INFO - Epoch(train) [76][980/3757] lr: 6.2941e-03 eta: 1 day, 19:24:02 time: 0.3946 data_time: 0.0166 memory: 17007 grad_norm: 6.6624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2690 loss: 2.2690 2022/07/28 00:52:43 - mmengine - INFO - Epoch(train) [76][1000/3757] lr: 6.2941e-03 eta: 1 day, 19:23:56 time: 0.4438 data_time: 0.0154 memory: 17007 grad_norm: 6.5755 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1440 loss: 2.1440 2022/07/28 00:52:52 - mmengine - INFO - Epoch(train) [76][1020/3757] lr: 6.2941e-03 eta: 1 day, 19:23:49 time: 0.4298 data_time: 0.0169 memory: 17007 grad_norm: 7.1268 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0570 loss: 2.0570 2022/07/28 00:53:00 - mmengine - INFO - Epoch(train) [76][1040/3757] lr: 6.2941e-03 eta: 1 day, 19:23:41 time: 0.3920 data_time: 0.0157 memory: 17007 grad_norm: 6.7971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1693 loss: 2.1693 2022/07/28 00:53:08 - mmengine - INFO - Epoch(train) [76][1060/3757] lr: 6.2941e-03 eta: 1 day, 19:23:33 time: 0.3959 data_time: 0.0146 memory: 17007 grad_norm: 7.0550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2166 loss: 2.2166 2022/07/28 00:53:16 - mmengine - INFO - Epoch(train) [76][1080/3757] lr: 6.2941e-03 eta: 1 day, 19:23:25 time: 0.3923 data_time: 0.0144 memory: 17007 grad_norm: 6.6266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0224 loss: 2.0224 2022/07/28 00:53:24 - mmengine - INFO - Epoch(train) [76][1100/3757] lr: 6.2941e-03 eta: 1 day, 19:23:17 time: 0.3975 data_time: 0.0156 memory: 17007 grad_norm: 6.7945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7447 loss: 1.7447 2022/07/28 00:53:32 - mmengine - INFO - Epoch(train) [76][1120/3757] lr: 6.2941e-03 eta: 1 day, 19:23:09 time: 0.3981 data_time: 0.0153 memory: 17007 grad_norm: 6.6833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0224 loss: 2.0224 2022/07/28 00:53:40 - mmengine - INFO - Epoch(train) [76][1140/3757] lr: 6.2941e-03 eta: 1 day, 19:23:01 time: 0.3979 data_time: 0.0160 memory: 17007 grad_norm: 7.1169 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2957 loss: 2.2957 2022/07/28 00:53:48 - mmengine - INFO - Epoch(train) [76][1160/3757] lr: 6.2941e-03 eta: 1 day, 19:22:53 time: 0.4113 data_time: 0.0151 memory: 17007 grad_norm: 6.8622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0111 loss: 2.0111 2022/07/28 00:53:56 - mmengine - INFO - Epoch(train) [76][1180/3757] lr: 6.2941e-03 eta: 1 day, 19:22:45 time: 0.3928 data_time: 0.0144 memory: 17007 grad_norm: 6.9009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3143 loss: 2.3143 2022/07/28 00:54:04 - mmengine - INFO - Epoch(train) [76][1200/3757] lr: 6.2941e-03 eta: 1 day, 19:22:37 time: 0.3998 data_time: 0.0156 memory: 17007 grad_norm: 6.6399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1202 loss: 2.1202 2022/07/28 00:54:13 - mmengine - INFO - Epoch(train) [76][1220/3757] lr: 6.2941e-03 eta: 1 day, 19:22:31 time: 0.4585 data_time: 0.0823 memory: 17007 grad_norm: 6.8654 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1948 loss: 2.1948 2022/07/28 00:54:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 00:54:23 - mmengine - INFO - Epoch(train) [76][1240/3757] lr: 6.2941e-03 eta: 1 day, 19:22:26 time: 0.4832 data_time: 0.0142 memory: 17007 grad_norm: 6.4787 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8593 loss: 1.8593 2022/07/28 00:54:33 - mmengine - INFO - Epoch(train) [76][1260/3757] lr: 6.2941e-03 eta: 1 day, 19:22:22 time: 0.5405 data_time: 0.0169 memory: 17007 grad_norm: 7.0089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1696 loss: 2.1696 2022/07/28 00:54:44 - mmengine - INFO - Epoch(train) [76][1280/3757] lr: 6.2941e-03 eta: 1 day, 19:22:17 time: 0.5230 data_time: 0.0149 memory: 17007 grad_norm: 6.8583 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4969 loss: 2.4969 2022/07/28 00:54:54 - mmengine - INFO - Epoch(train) [76][1300/3757] lr: 6.2941e-03 eta: 1 day, 19:22:13 time: 0.5321 data_time: 0.0181 memory: 17007 grad_norm: 6.8642 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7797 loss: 1.7797 2022/07/28 00:55:03 - mmengine - INFO - Epoch(train) [76][1320/3757] lr: 6.2941e-03 eta: 1 day, 19:22:06 time: 0.4428 data_time: 0.0196 memory: 17007 grad_norm: 6.8699 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9659 loss: 1.9659 2022/07/28 00:55:11 - mmengine - INFO - Epoch(train) [76][1340/3757] lr: 6.2941e-03 eta: 1 day, 19:21:58 time: 0.3969 data_time: 0.0148 memory: 17007 grad_norm: 6.9621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8843 loss: 1.8843 2022/07/28 00:55:19 - mmengine - INFO - Epoch(train) [76][1360/3757] lr: 6.2941e-03 eta: 1 day, 19:21:51 time: 0.4040 data_time: 0.0148 memory: 17007 grad_norm: 6.5271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2278 loss: 2.2278 2022/07/28 00:55:27 - mmengine - INFO - Epoch(train) [76][1380/3757] lr: 6.2941e-03 eta: 1 day, 19:21:43 time: 0.3975 data_time: 0.0125 memory: 17007 grad_norm: 6.9170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2911 loss: 2.2911 2022/07/28 00:55:35 - mmengine - INFO - Epoch(train) [76][1400/3757] lr: 6.2941e-03 eta: 1 day, 19:21:35 time: 0.3949 data_time: 0.0153 memory: 17007 grad_norm: 6.8017 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9551 loss: 1.9551 2022/07/28 00:55:43 - mmengine - INFO - Epoch(train) [76][1420/3757] lr: 6.2941e-03 eta: 1 day, 19:21:27 time: 0.3941 data_time: 0.0128 memory: 17007 grad_norm: 6.8448 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2655 loss: 2.2655 2022/07/28 00:55:51 - mmengine - INFO - Epoch(train) [76][1440/3757] lr: 6.2941e-03 eta: 1 day, 19:21:19 time: 0.3964 data_time: 0.0161 memory: 17007 grad_norm: 7.0277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8865 loss: 1.8865 2022/07/28 00:55:59 - mmengine - INFO - Epoch(train) [76][1460/3757] lr: 6.2941e-03 eta: 1 day, 19:21:11 time: 0.3951 data_time: 0.0132 memory: 17007 grad_norm: 6.8786 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0224 loss: 2.0224 2022/07/28 00:56:07 - mmengine - INFO - Epoch(train) [76][1480/3757] lr: 6.2941e-03 eta: 1 day, 19:21:03 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 6.9904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9966 loss: 1.9966 2022/07/28 00:56:15 - mmengine - INFO - Epoch(train) [76][1500/3757] lr: 6.2941e-03 eta: 1 day, 19:20:55 time: 0.3979 data_time: 0.0135 memory: 17007 grad_norm: 6.7157 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2750 loss: 2.2750 2022/07/28 00:56:23 - mmengine - INFO - Epoch(train) [76][1520/3757] lr: 6.2941e-03 eta: 1 day, 19:20:47 time: 0.3948 data_time: 0.0166 memory: 17007 grad_norm: 6.7569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8835 loss: 1.8835 2022/07/28 00:56:31 - mmengine - INFO - Epoch(train) [76][1540/3757] lr: 6.2941e-03 eta: 1 day, 19:20:39 time: 0.3938 data_time: 0.0132 memory: 17007 grad_norm: 6.8917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3324 loss: 2.3324 2022/07/28 00:56:39 - mmengine - INFO - Epoch(train) [76][1560/3757] lr: 6.2941e-03 eta: 1 day, 19:20:31 time: 0.4091 data_time: 0.0152 memory: 17007 grad_norm: 6.9105 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2787 loss: 2.2787 2022/07/28 00:56:47 - mmengine - INFO - Epoch(train) [76][1580/3757] lr: 6.2941e-03 eta: 1 day, 19:20:23 time: 0.3924 data_time: 0.0123 memory: 17007 grad_norm: 7.0900 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1054 loss: 2.1054 2022/07/28 00:56:55 - mmengine - INFO - Epoch(train) [76][1600/3757] lr: 6.2941e-03 eta: 1 day, 19:20:15 time: 0.3946 data_time: 0.0150 memory: 17007 grad_norm: 7.0148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0352 loss: 2.0352 2022/07/28 00:57:02 - mmengine - INFO - Epoch(train) [76][1620/3757] lr: 6.2941e-03 eta: 1 day, 19:20:07 time: 0.3966 data_time: 0.0141 memory: 17007 grad_norm: 6.9653 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0465 loss: 2.0465 2022/07/28 00:57:10 - mmengine - INFO - Epoch(train) [76][1640/3757] lr: 6.2941e-03 eta: 1 day, 19:19:59 time: 0.3953 data_time: 0.0166 memory: 17007 grad_norm: 6.7305 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1728 loss: 2.1728 2022/07/28 00:57:18 - mmengine - INFO - Epoch(train) [76][1660/3757] lr: 6.2941e-03 eta: 1 day, 19:19:51 time: 0.3958 data_time: 0.0135 memory: 17007 grad_norm: 6.9486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0687 loss: 2.0687 2022/07/28 00:57:26 - mmengine - INFO - Epoch(train) [76][1680/3757] lr: 6.2941e-03 eta: 1 day, 19:19:43 time: 0.3943 data_time: 0.0165 memory: 17007 grad_norm: 7.0625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2207 loss: 2.2207 2022/07/28 00:57:34 - mmengine - INFO - Epoch(train) [76][1700/3757] lr: 6.2941e-03 eta: 1 day, 19:19:35 time: 0.3904 data_time: 0.0122 memory: 17007 grad_norm: 6.8939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1550 loss: 2.1550 2022/07/28 00:57:42 - mmengine - INFO - Epoch(train) [76][1720/3757] lr: 6.2941e-03 eta: 1 day, 19:19:27 time: 0.4004 data_time: 0.0166 memory: 17007 grad_norm: 6.7670 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0962 loss: 2.0962 2022/07/28 00:57:50 - mmengine - INFO - Epoch(train) [76][1740/3757] lr: 6.2941e-03 eta: 1 day, 19:19:19 time: 0.3918 data_time: 0.0139 memory: 17007 grad_norm: 6.5934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0163 loss: 2.0163 2022/07/28 00:57:58 - mmengine - INFO - Epoch(train) [76][1760/3757] lr: 6.2941e-03 eta: 1 day, 19:19:11 time: 0.4086 data_time: 0.0168 memory: 17007 grad_norm: 6.7560 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9140 loss: 1.9140 2022/07/28 00:58:06 - mmengine - INFO - Epoch(train) [76][1780/3757] lr: 6.2941e-03 eta: 1 day, 19:19:03 time: 0.3932 data_time: 0.0127 memory: 17007 grad_norm: 6.6899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9130 loss: 1.9130 2022/07/28 00:58:14 - mmengine - INFO - Epoch(train) [76][1800/3757] lr: 6.2941e-03 eta: 1 day, 19:18:55 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 7.1566 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6087 loss: 2.6087 2022/07/28 00:58:22 - mmengine - INFO - Epoch(train) [76][1820/3757] lr: 6.2941e-03 eta: 1 day, 19:18:47 time: 0.4022 data_time: 0.0156 memory: 17007 grad_norm: 7.0867 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3812 loss: 2.3812 2022/07/28 00:58:30 - mmengine - INFO - Epoch(train) [76][1840/3757] lr: 6.2941e-03 eta: 1 day, 19:18:39 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 6.8038 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3825 loss: 2.3825 2022/07/28 00:58:38 - mmengine - INFO - Epoch(train) [76][1860/3757] lr: 6.2941e-03 eta: 1 day, 19:18:32 time: 0.3992 data_time: 0.0124 memory: 17007 grad_norm: 6.6572 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9810 loss: 1.9810 2022/07/28 00:58:46 - mmengine - INFO - Epoch(train) [76][1880/3757] lr: 6.2941e-03 eta: 1 day, 19:18:24 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 6.8743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2001 loss: 2.2001 2022/07/28 00:58:54 - mmengine - INFO - Epoch(train) [76][1900/3757] lr: 6.2941e-03 eta: 1 day, 19:18:16 time: 0.3981 data_time: 0.0140 memory: 17007 grad_norm: 6.9634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0965 loss: 2.0965 2022/07/28 00:59:02 - mmengine - INFO - Epoch(train) [76][1920/3757] lr: 6.2941e-03 eta: 1 day, 19:18:08 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 6.8380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2447 loss: 2.2447 2022/07/28 00:59:09 - mmengine - INFO - Epoch(train) [76][1940/3757] lr: 6.2941e-03 eta: 1 day, 19:18:00 time: 0.3957 data_time: 0.0142 memory: 17007 grad_norm: 6.7111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2048 loss: 2.2048 2022/07/28 00:59:17 - mmengine - INFO - Epoch(train) [76][1960/3757] lr: 6.2941e-03 eta: 1 day, 19:17:52 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 7.0497 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2869 loss: 2.2869 2022/07/28 00:59:25 - mmengine - INFO - Epoch(train) [76][1980/3757] lr: 6.2941e-03 eta: 1 day, 19:17:44 time: 0.3925 data_time: 0.0124 memory: 17007 grad_norm: 7.1600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1446 loss: 2.1446 2022/07/28 00:59:33 - mmengine - INFO - Epoch(train) [76][2000/3757] lr: 6.2941e-03 eta: 1 day, 19:17:36 time: 0.4035 data_time: 0.0185 memory: 17007 grad_norm: 6.9449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1789 loss: 2.1789 2022/07/28 00:59:41 - mmengine - INFO - Epoch(train) [76][2020/3757] lr: 6.2941e-03 eta: 1 day, 19:17:28 time: 0.3935 data_time: 0.0131 memory: 17007 grad_norm: 6.6856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2131 loss: 2.2131 2022/07/28 00:59:49 - mmengine - INFO - Epoch(train) [76][2040/3757] lr: 6.2941e-03 eta: 1 day, 19:17:20 time: 0.3949 data_time: 0.0170 memory: 17007 grad_norm: 6.6581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3881 loss: 2.3881 2022/07/28 00:59:57 - mmengine - INFO - Epoch(train) [76][2060/3757] lr: 6.2941e-03 eta: 1 day, 19:17:12 time: 0.3918 data_time: 0.0131 memory: 17007 grad_norm: 7.0407 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4561 loss: 2.4561 2022/07/28 01:00:05 - mmengine - INFO - Epoch(train) [76][2080/3757] lr: 6.2941e-03 eta: 1 day, 19:17:04 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 6.6694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9997 loss: 1.9997 2022/07/28 01:00:13 - mmengine - INFO - Epoch(train) [76][2100/3757] lr: 6.2941e-03 eta: 1 day, 19:16:56 time: 0.3956 data_time: 0.0139 memory: 17007 grad_norm: 7.0296 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0748 loss: 2.0748 2022/07/28 01:00:21 - mmengine - INFO - Epoch(train) [76][2120/3757] lr: 6.2941e-03 eta: 1 day, 19:16:48 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 7.1633 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0107 loss: 2.0107 2022/07/28 01:00:29 - mmengine - INFO - Epoch(train) [76][2140/3757] lr: 6.2941e-03 eta: 1 day, 19:16:40 time: 0.4005 data_time: 0.0152 memory: 17007 grad_norm: 6.7150 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0454 loss: 2.0454 2022/07/28 01:00:37 - mmengine - INFO - Epoch(train) [76][2160/3757] lr: 6.2941e-03 eta: 1 day, 19:16:32 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 6.7729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/07/28 01:00:45 - mmengine - INFO - Epoch(train) [76][2180/3757] lr: 6.2941e-03 eta: 1 day, 19:16:24 time: 0.4005 data_time: 0.0150 memory: 17007 grad_norm: 6.7426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2036 loss: 2.2036 2022/07/28 01:00:52 - mmengine - INFO - Epoch(train) [76][2200/3757] lr: 6.2941e-03 eta: 1 day, 19:16:16 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 6.9579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2780 loss: 2.2780 2022/07/28 01:01:01 - mmengine - INFO - Epoch(train) [76][2220/3757] lr: 6.2941e-03 eta: 1 day, 19:16:08 time: 0.4119 data_time: 0.0182 memory: 17007 grad_norm: 6.6718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2027 loss: 2.2027 2022/07/28 01:01:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:01:09 - mmengine - INFO - Epoch(train) [76][2240/3757] lr: 6.2941e-03 eta: 1 day, 19:16:00 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 6.7059 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0207 loss: 2.0207 2022/07/28 01:01:16 - mmengine - INFO - Epoch(train) [76][2260/3757] lr: 6.2941e-03 eta: 1 day, 19:15:52 time: 0.3921 data_time: 0.0127 memory: 17007 grad_norm: 6.7737 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9999 loss: 1.9999 2022/07/28 01:01:25 - mmengine - INFO - Epoch(train) [76][2280/3757] lr: 6.2941e-03 eta: 1 day, 19:15:45 time: 0.4266 data_time: 0.0168 memory: 17007 grad_norm: 6.7078 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1773 loss: 2.1773 2022/07/28 01:01:33 - mmengine - INFO - Epoch(train) [76][2300/3757] lr: 6.2941e-03 eta: 1 day, 19:15:37 time: 0.3932 data_time: 0.0131 memory: 17007 grad_norm: 6.6960 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3206 loss: 2.3206 2022/07/28 01:01:41 - mmengine - INFO - Epoch(train) [76][2320/3757] lr: 6.2941e-03 eta: 1 day, 19:15:30 time: 0.4137 data_time: 0.0166 memory: 17007 grad_norm: 6.6388 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1555 loss: 2.1555 2022/07/28 01:01:49 - mmengine - INFO - Epoch(train) [76][2340/3757] lr: 6.2941e-03 eta: 1 day, 19:15:22 time: 0.3940 data_time: 0.0128 memory: 17007 grad_norm: 6.7086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0260 loss: 2.0260 2022/07/28 01:01:57 - mmengine - INFO - Epoch(train) [76][2360/3757] lr: 6.2941e-03 eta: 1 day, 19:15:14 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.8877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3044 loss: 2.3044 2022/07/28 01:02:05 - mmengine - INFO - Epoch(train) [76][2380/3757] lr: 6.2941e-03 eta: 1 day, 19:15:06 time: 0.4084 data_time: 0.0136 memory: 17007 grad_norm: 6.7461 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1433 loss: 2.1433 2022/07/28 01:02:13 - mmengine - INFO - Epoch(train) [76][2400/3757] lr: 6.2941e-03 eta: 1 day, 19:14:58 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 6.7579 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1180 loss: 2.1180 2022/07/28 01:02:21 - mmengine - INFO - Epoch(train) [76][2420/3757] lr: 6.2941e-03 eta: 1 day, 19:14:50 time: 0.3993 data_time: 0.0145 memory: 17007 grad_norm: 6.9012 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1497 loss: 2.1497 2022/07/28 01:02:30 - mmengine - INFO - Epoch(train) [76][2440/3757] lr: 6.2941e-03 eta: 1 day, 19:14:43 time: 0.4355 data_time: 0.0160 memory: 17007 grad_norm: 6.4933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1620 loss: 2.1620 2022/07/28 01:02:38 - mmengine - INFO - Epoch(train) [76][2460/3757] lr: 6.2941e-03 eta: 1 day, 19:14:35 time: 0.3914 data_time: 0.0135 memory: 17007 grad_norm: 6.6970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3091 loss: 2.3091 2022/07/28 01:02:46 - mmengine - INFO - Epoch(train) [76][2480/3757] lr: 6.2941e-03 eta: 1 day, 19:14:27 time: 0.3986 data_time: 0.0157 memory: 17007 grad_norm: 6.8869 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2791 loss: 2.2791 2022/07/28 01:02:53 - mmengine - INFO - Epoch(train) [76][2500/3757] lr: 6.2941e-03 eta: 1 day, 19:14:19 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 6.8687 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0375 loss: 2.0375 2022/07/28 01:03:01 - mmengine - INFO - Epoch(train) [76][2520/3757] lr: 6.2941e-03 eta: 1 day, 19:14:11 time: 0.4004 data_time: 0.0169 memory: 17007 grad_norm: 6.8257 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2987 loss: 2.2987 2022/07/28 01:03:09 - mmengine - INFO - Epoch(train) [76][2540/3757] lr: 6.2941e-03 eta: 1 day, 19:14:03 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 6.8768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3520 loss: 2.3520 2022/07/28 01:03:17 - mmengine - INFO - Epoch(train) [76][2560/3757] lr: 6.2941e-03 eta: 1 day, 19:13:55 time: 0.3976 data_time: 0.0166 memory: 17007 grad_norm: 6.7038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0731 loss: 2.0731 2022/07/28 01:03:25 - mmengine - INFO - Epoch(train) [76][2580/3757] lr: 6.2941e-03 eta: 1 day, 19:13:47 time: 0.3930 data_time: 0.0140 memory: 17007 grad_norm: 7.0611 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2043 loss: 2.2043 2022/07/28 01:03:33 - mmengine - INFO - Epoch(train) [76][2600/3757] lr: 6.2941e-03 eta: 1 day, 19:13:39 time: 0.4010 data_time: 0.0190 memory: 17007 grad_norm: 6.8562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9738 loss: 1.9738 2022/07/28 01:03:41 - mmengine - INFO - Epoch(train) [76][2620/3757] lr: 6.2941e-03 eta: 1 day, 19:13:31 time: 0.3929 data_time: 0.0139 memory: 17007 grad_norm: 6.8843 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2862 loss: 2.2862 2022/07/28 01:03:49 - mmengine - INFO - Epoch(train) [76][2640/3757] lr: 6.2941e-03 eta: 1 day, 19:13:23 time: 0.3978 data_time: 0.0168 memory: 17007 grad_norm: 6.9786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9480 loss: 1.9480 2022/07/28 01:03:57 - mmengine - INFO - Epoch(train) [76][2660/3757] lr: 6.2941e-03 eta: 1 day, 19:13:15 time: 0.3932 data_time: 0.0134 memory: 17007 grad_norm: 6.7949 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1540 loss: 2.1540 2022/07/28 01:04:05 - mmengine - INFO - Epoch(train) [76][2680/3757] lr: 6.2941e-03 eta: 1 day, 19:13:07 time: 0.3947 data_time: 0.0162 memory: 17007 grad_norm: 6.7235 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3684 loss: 2.3684 2022/07/28 01:04:13 - mmengine - INFO - Epoch(train) [76][2700/3757] lr: 6.2941e-03 eta: 1 day, 19:13:00 time: 0.4023 data_time: 0.0146 memory: 17007 grad_norm: 6.5451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1559 loss: 2.1559 2022/07/28 01:04:21 - mmengine - INFO - Epoch(train) [76][2720/3757] lr: 6.2941e-03 eta: 1 day, 19:12:52 time: 0.3972 data_time: 0.0178 memory: 17007 grad_norm: 6.7039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8693 loss: 1.8693 2022/07/28 01:04:29 - mmengine - INFO - Epoch(train) [76][2740/3757] lr: 6.2941e-03 eta: 1 day, 19:12:44 time: 0.3921 data_time: 0.0131 memory: 17007 grad_norm: 6.7170 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2515 loss: 2.2515 2022/07/28 01:04:37 - mmengine - INFO - Epoch(train) [76][2760/3757] lr: 6.2941e-03 eta: 1 day, 19:12:36 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 6.9132 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3378 loss: 2.3378 2022/07/28 01:04:45 - mmengine - INFO - Epoch(train) [76][2780/3757] lr: 6.2941e-03 eta: 1 day, 19:12:28 time: 0.4022 data_time: 0.0136 memory: 17007 grad_norm: 6.6338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8721 loss: 1.8721 2022/07/28 01:04:53 - mmengine - INFO - Epoch(train) [76][2800/3757] lr: 6.2941e-03 eta: 1 day, 19:12:20 time: 0.3950 data_time: 0.0164 memory: 17007 grad_norm: 6.8660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7314 loss: 1.7314 2022/07/28 01:05:01 - mmengine - INFO - Epoch(train) [76][2820/3757] lr: 6.2941e-03 eta: 1 day, 19:12:12 time: 0.4005 data_time: 0.0166 memory: 17007 grad_norm: 6.6052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6782 loss: 1.6782 2022/07/28 01:05:08 - mmengine - INFO - Epoch(train) [76][2840/3757] lr: 6.2941e-03 eta: 1 day, 19:12:04 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 6.6187 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1182 loss: 2.1182 2022/07/28 01:05:16 - mmengine - INFO - Epoch(train) [76][2860/3757] lr: 6.2941e-03 eta: 1 day, 19:11:56 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 6.8585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0075 loss: 2.0075 2022/07/28 01:05:24 - mmengine - INFO - Epoch(train) [76][2880/3757] lr: 6.2941e-03 eta: 1 day, 19:11:48 time: 0.4002 data_time: 0.0168 memory: 17007 grad_norm: 7.0071 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2547 loss: 2.2547 2022/07/28 01:05:33 - mmengine - INFO - Epoch(train) [76][2900/3757] lr: 6.2941e-03 eta: 1 day, 19:11:41 time: 0.4313 data_time: 0.0526 memory: 17007 grad_norm: 6.9388 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2897 loss: 2.2897 2022/07/28 01:05:41 - mmengine - INFO - Epoch(train) [76][2920/3757] lr: 6.2941e-03 eta: 1 day, 19:11:33 time: 0.4079 data_time: 0.0172 memory: 17007 grad_norm: 6.7404 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2449 loss: 2.2449 2022/07/28 01:05:49 - mmengine - INFO - Epoch(train) [76][2940/3757] lr: 6.2941e-03 eta: 1 day, 19:11:25 time: 0.3919 data_time: 0.0126 memory: 17007 grad_norm: 7.0344 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1596 loss: 2.1596 2022/07/28 01:05:57 - mmengine - INFO - Epoch(train) [76][2960/3757] lr: 6.2941e-03 eta: 1 day, 19:11:17 time: 0.3981 data_time: 0.0183 memory: 17007 grad_norm: 6.8092 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0874 loss: 2.0874 2022/07/28 01:06:05 - mmengine - INFO - Epoch(train) [76][2980/3757] lr: 6.2941e-03 eta: 1 day, 19:11:09 time: 0.3952 data_time: 0.0125 memory: 17007 grad_norm: 6.7143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1651 loss: 2.1651 2022/07/28 01:06:13 - mmengine - INFO - Epoch(train) [76][3000/3757] lr: 6.2941e-03 eta: 1 day, 19:11:01 time: 0.3971 data_time: 0.0164 memory: 17007 grad_norm: 6.8830 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8916 loss: 1.8916 2022/07/28 01:06:21 - mmengine - INFO - Epoch(train) [76][3020/3757] lr: 6.2941e-03 eta: 1 day, 19:10:53 time: 0.3967 data_time: 0.0146 memory: 17007 grad_norm: 6.8395 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8861 loss: 1.8861 2022/07/28 01:06:29 - mmengine - INFO - Epoch(train) [76][3040/3757] lr: 6.2941e-03 eta: 1 day, 19:10:45 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 6.9582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2522 loss: 2.2522 2022/07/28 01:06:37 - mmengine - INFO - Epoch(train) [76][3060/3757] lr: 6.2941e-03 eta: 1 day, 19:10:37 time: 0.3940 data_time: 0.0133 memory: 17007 grad_norm: 6.7885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0252 loss: 2.0252 2022/07/28 01:06:44 - mmengine - INFO - Epoch(train) [76][3080/3757] lr: 6.2941e-03 eta: 1 day, 19:10:29 time: 0.3923 data_time: 0.0155 memory: 17007 grad_norm: 6.6463 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0053 loss: 2.0053 2022/07/28 01:06:52 - mmengine - INFO - Epoch(train) [76][3100/3757] lr: 6.2941e-03 eta: 1 day, 19:10:21 time: 0.3992 data_time: 0.0134 memory: 17007 grad_norm: 6.4805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0977 loss: 2.0977 2022/07/28 01:07:00 - mmengine - INFO - Epoch(train) [76][3120/3757] lr: 6.2941e-03 eta: 1 day, 19:10:13 time: 0.3956 data_time: 0.0166 memory: 17007 grad_norm: 6.6838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9907 loss: 1.9907 2022/07/28 01:07:08 - mmengine - INFO - Epoch(train) [76][3140/3757] lr: 6.2941e-03 eta: 1 day, 19:10:05 time: 0.3929 data_time: 0.0135 memory: 17007 grad_norm: 6.5673 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0265 loss: 2.0265 2022/07/28 01:07:16 - mmengine - INFO - Epoch(train) [76][3160/3757] lr: 6.2941e-03 eta: 1 day, 19:09:57 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 6.8574 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2528 loss: 2.2528 2022/07/28 01:07:24 - mmengine - INFO - Epoch(train) [76][3180/3757] lr: 6.2941e-03 eta: 1 day, 19:09:49 time: 0.3977 data_time: 0.0135 memory: 17007 grad_norm: 7.0309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5262 loss: 2.5262 2022/07/28 01:07:32 - mmengine - INFO - Epoch(train) [76][3200/3757] lr: 6.2941e-03 eta: 1 day, 19:09:41 time: 0.3961 data_time: 0.0166 memory: 17007 grad_norm: 6.8968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4752 loss: 2.4752 2022/07/28 01:07:40 - mmengine - INFO - Epoch(train) [76][3220/3757] lr: 6.2941e-03 eta: 1 day, 19:09:34 time: 0.4012 data_time: 0.0156 memory: 17007 grad_norm: 6.9027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9492 loss: 1.9492 2022/07/28 01:07:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:07:48 - mmengine - INFO - Epoch(train) [76][3240/3757] lr: 6.2941e-03 eta: 1 day, 19:09:26 time: 0.3948 data_time: 0.0166 memory: 17007 grad_norm: 6.9194 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2264 loss: 2.2264 2022/07/28 01:07:56 - mmengine - INFO - Epoch(train) [76][3260/3757] lr: 6.2941e-03 eta: 1 day, 19:09:18 time: 0.3927 data_time: 0.0131 memory: 17007 grad_norm: 6.8607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0473 loss: 2.0473 2022/07/28 01:08:04 - mmengine - INFO - Epoch(train) [76][3280/3757] lr: 6.2941e-03 eta: 1 day, 19:09:10 time: 0.3964 data_time: 0.0175 memory: 17007 grad_norm: 6.7367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9232 loss: 1.9232 2022/07/28 01:08:12 - mmengine - INFO - Epoch(train) [76][3300/3757] lr: 6.2941e-03 eta: 1 day, 19:09:02 time: 0.3932 data_time: 0.0148 memory: 17007 grad_norm: 7.0282 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1281 loss: 2.1281 2022/07/28 01:08:20 - mmengine - INFO - Epoch(train) [76][3320/3757] lr: 6.2941e-03 eta: 1 day, 19:08:54 time: 0.3977 data_time: 0.0168 memory: 17007 grad_norm: 6.6438 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1065 loss: 2.1065 2022/07/28 01:08:27 - mmengine - INFO - Epoch(train) [76][3340/3757] lr: 6.2941e-03 eta: 1 day, 19:08:46 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 6.5561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9611 loss: 1.9611 2022/07/28 01:08:35 - mmengine - INFO - Epoch(train) [76][3360/3757] lr: 6.2941e-03 eta: 1 day, 19:08:38 time: 0.3958 data_time: 0.0163 memory: 17007 grad_norm: 6.6580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0647 loss: 2.0647 2022/07/28 01:08:43 - mmengine - INFO - Epoch(train) [76][3380/3757] lr: 6.2941e-03 eta: 1 day, 19:08:29 time: 0.3917 data_time: 0.0126 memory: 17007 grad_norm: 7.0773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1825 loss: 2.1825 2022/07/28 01:08:51 - mmengine - INFO - Epoch(train) [76][3400/3757] lr: 6.2941e-03 eta: 1 day, 19:08:22 time: 0.3973 data_time: 0.0178 memory: 17007 grad_norm: 7.0156 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9139 loss: 1.9139 2022/07/28 01:08:59 - mmengine - INFO - Epoch(train) [76][3420/3757] lr: 6.2941e-03 eta: 1 day, 19:08:13 time: 0.3930 data_time: 0.0134 memory: 17007 grad_norm: 6.7785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2168 loss: 2.2168 2022/07/28 01:09:07 - mmengine - INFO - Epoch(train) [76][3440/3757] lr: 6.2941e-03 eta: 1 day, 19:08:06 time: 0.3966 data_time: 0.0165 memory: 17007 grad_norm: 6.6788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2557 loss: 2.2557 2022/07/28 01:09:15 - mmengine - INFO - Epoch(train) [76][3460/3757] lr: 6.2941e-03 eta: 1 day, 19:07:57 time: 0.3928 data_time: 0.0133 memory: 17007 grad_norm: 7.1347 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1332 loss: 2.1332 2022/07/28 01:09:23 - mmengine - INFO - Epoch(train) [76][3480/3757] lr: 6.2941e-03 eta: 1 day, 19:07:50 time: 0.4078 data_time: 0.0169 memory: 17007 grad_norm: 6.8870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1200 loss: 2.1200 2022/07/28 01:09:31 - mmengine - INFO - Epoch(train) [76][3500/3757] lr: 6.2941e-03 eta: 1 day, 19:07:42 time: 0.3934 data_time: 0.0131 memory: 17007 grad_norm: 6.9854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0454 loss: 2.0454 2022/07/28 01:09:39 - mmengine - INFO - Epoch(train) [76][3520/3757] lr: 6.2941e-03 eta: 1 day, 19:07:34 time: 0.3953 data_time: 0.0152 memory: 17007 grad_norm: 6.7493 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9338 loss: 1.9338 2022/07/28 01:09:47 - mmengine - INFO - Epoch(train) [76][3540/3757] lr: 6.2941e-03 eta: 1 day, 19:07:26 time: 0.3964 data_time: 0.0139 memory: 17007 grad_norm: 6.8874 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3011 loss: 2.3011 2022/07/28 01:09:55 - mmengine - INFO - Epoch(train) [76][3560/3757] lr: 6.2941e-03 eta: 1 day, 19:07:18 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 6.7708 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0613 loss: 2.0613 2022/07/28 01:10:03 - mmengine - INFO - Epoch(train) [76][3580/3757] lr: 6.2941e-03 eta: 1 day, 19:07:10 time: 0.3946 data_time: 0.0136 memory: 17007 grad_norm: 6.9690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2816 loss: 2.2816 2022/07/28 01:10:10 - mmengine - INFO - Epoch(train) [76][3600/3757] lr: 6.2941e-03 eta: 1 day, 19:07:02 time: 0.3953 data_time: 0.0162 memory: 17007 grad_norm: 7.1029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9433 loss: 1.9433 2022/07/28 01:10:18 - mmengine - INFO - Epoch(train) [76][3620/3757] lr: 6.2941e-03 eta: 1 day, 19:06:54 time: 0.3917 data_time: 0.0119 memory: 17007 grad_norm: 6.7885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0761 loss: 2.0761 2022/07/28 01:10:26 - mmengine - INFO - Epoch(train) [76][3640/3757] lr: 6.2941e-03 eta: 1 day, 19:06:46 time: 0.4000 data_time: 0.0176 memory: 17007 grad_norm: 6.7237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9814 loss: 1.9814 2022/07/28 01:10:34 - mmengine - INFO - Epoch(train) [76][3660/3757] lr: 6.2941e-03 eta: 1 day, 19:06:38 time: 0.3935 data_time: 0.0134 memory: 17007 grad_norm: 6.9019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2798 loss: 2.2798 2022/07/28 01:10:42 - mmengine - INFO - Epoch(train) [76][3680/3757] lr: 6.2941e-03 eta: 1 day, 19:06:30 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 6.5930 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2378 loss: 2.2378 2022/07/28 01:10:50 - mmengine - INFO - Epoch(train) [76][3700/3757] lr: 6.2941e-03 eta: 1 day, 19:06:22 time: 0.4015 data_time: 0.0226 memory: 17007 grad_norm: 6.8530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0244 loss: 2.0244 2022/07/28 01:10:58 - mmengine - INFO - Epoch(train) [76][3720/3757] lr: 6.2941e-03 eta: 1 day, 19:06:14 time: 0.3923 data_time: 0.0140 memory: 17007 grad_norm: 6.4865 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9911 loss: 1.9911 2022/07/28 01:11:06 - mmengine - INFO - Epoch(train) [76][3740/3757] lr: 6.2941e-03 eta: 1 day, 19:06:06 time: 0.3918 data_time: 0.0126 memory: 17007 grad_norm: 6.6299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0106 loss: 2.0106 2022/07/28 01:11:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:11:13 - mmengine - INFO - Epoch(train) [76][3757/3757] lr: 6.2941e-03 eta: 1 day, 19:06:06 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 6.6113 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9065 loss: 1.9065 2022/07/28 01:11:13 - mmengine - INFO - Saving checkpoint at 76 epochs 2022/07/28 01:11:25 - mmengine - INFO - Epoch(train) [77][20/3757] lr: 6.2096e-03 eta: 1 day, 19:05:44 time: 0.4566 data_time: 0.0621 memory: 17007 grad_norm: 6.7326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0842 loss: 2.0842 2022/07/28 01:11:33 - mmengine - INFO - Epoch(train) [77][40/3757] lr: 6.2096e-03 eta: 1 day, 19:05:36 time: 0.3952 data_time: 0.0157 memory: 17007 grad_norm: 6.5321 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8302 loss: 1.8302 2022/07/28 01:11:41 - mmengine - INFO - Epoch(train) [77][60/3757] lr: 6.2096e-03 eta: 1 day, 19:05:28 time: 0.3953 data_time: 0.0149 memory: 17007 grad_norm: 6.6061 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0913 loss: 2.0913 2022/07/28 01:11:49 - mmengine - INFO - Epoch(train) [77][80/3757] lr: 6.2096e-03 eta: 1 day, 19:05:20 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 6.7366 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9498 loss: 1.9498 2022/07/28 01:11:56 - mmengine - INFO - Epoch(train) [77][100/3757] lr: 6.2096e-03 eta: 1 day, 19:05:12 time: 0.3933 data_time: 0.0143 memory: 17007 grad_norm: 6.7258 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0571 loss: 2.0571 2022/07/28 01:12:05 - mmengine - INFO - Epoch(train) [77][120/3757] lr: 6.2096e-03 eta: 1 day, 19:05:04 time: 0.4017 data_time: 0.0165 memory: 17007 grad_norm: 6.8964 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0754 loss: 2.0754 2022/07/28 01:12:12 - mmengine - INFO - Epoch(train) [77][140/3757] lr: 6.2096e-03 eta: 1 day, 19:04:56 time: 0.3945 data_time: 0.0154 memory: 17007 grad_norm: 6.8230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3018 loss: 2.3018 2022/07/28 01:12:20 - mmengine - INFO - Epoch(train) [77][160/3757] lr: 6.2096e-03 eta: 1 day, 19:04:48 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 6.8798 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0549 loss: 2.0549 2022/07/28 01:12:28 - mmengine - INFO - Epoch(train) [77][180/3757] lr: 6.2096e-03 eta: 1 day, 19:04:40 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 6.5845 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0833 loss: 2.0833 2022/07/28 01:12:36 - mmengine - INFO - Epoch(train) [77][200/3757] lr: 6.2096e-03 eta: 1 day, 19:04:32 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 6.6118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0957 loss: 2.0957 2022/07/28 01:12:44 - mmengine - INFO - Epoch(train) [77][220/3757] lr: 6.2096e-03 eta: 1 day, 19:04:24 time: 0.3938 data_time: 0.0147 memory: 17007 grad_norm: 6.7744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2360 loss: 2.2360 2022/07/28 01:12:52 - mmengine - INFO - Epoch(train) [77][240/3757] lr: 6.2096e-03 eta: 1 day, 19:04:16 time: 0.3950 data_time: 0.0158 memory: 17007 grad_norm: 6.6709 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9464 loss: 1.9464 2022/07/28 01:13:00 - mmengine - INFO - Epoch(train) [77][260/3757] lr: 6.2096e-03 eta: 1 day, 19:04:08 time: 0.4060 data_time: 0.0152 memory: 17007 grad_norm: 6.7742 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9772 loss: 1.9772 2022/07/28 01:13:08 - mmengine - INFO - Epoch(train) [77][280/3757] lr: 6.2096e-03 eta: 1 day, 19:04:00 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 6.7753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2920 loss: 2.2920 2022/07/28 01:13:16 - mmengine - INFO - Epoch(train) [77][300/3757] lr: 6.2096e-03 eta: 1 day, 19:03:52 time: 0.3932 data_time: 0.0139 memory: 17007 grad_norm: 6.8468 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8697 loss: 1.8697 2022/07/28 01:13:24 - mmengine - INFO - Epoch(train) [77][320/3757] lr: 6.2096e-03 eta: 1 day, 19:03:44 time: 0.3959 data_time: 0.0170 memory: 17007 grad_norm: 6.7157 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1577 loss: 2.1577 2022/07/28 01:13:32 - mmengine - INFO - Epoch(train) [77][340/3757] lr: 6.2096e-03 eta: 1 day, 19:03:36 time: 0.3926 data_time: 0.0150 memory: 17007 grad_norm: 6.4033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9228 loss: 1.9228 2022/07/28 01:13:40 - mmengine - INFO - Epoch(train) [77][360/3757] lr: 6.2096e-03 eta: 1 day, 19:03:28 time: 0.4027 data_time: 0.0162 memory: 17007 grad_norm: 6.9704 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3075 loss: 2.3075 2022/07/28 01:13:47 - mmengine - INFO - Epoch(train) [77][380/3757] lr: 6.2096e-03 eta: 1 day, 19:03:20 time: 0.3925 data_time: 0.0139 memory: 17007 grad_norm: 7.0242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2640 loss: 2.2640 2022/07/28 01:13:55 - mmengine - INFO - Epoch(train) [77][400/3757] lr: 6.2096e-03 eta: 1 day, 19:03:12 time: 0.3946 data_time: 0.0163 memory: 17007 grad_norm: 6.8448 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3397 loss: 2.3397 2022/07/28 01:14:03 - mmengine - INFO - Epoch(train) [77][420/3757] lr: 6.2096e-03 eta: 1 day, 19:03:04 time: 0.3966 data_time: 0.0145 memory: 17007 grad_norm: 6.9129 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2686 loss: 2.2686 2022/07/28 01:14:11 - mmengine - INFO - Epoch(train) [77][440/3757] lr: 6.2096e-03 eta: 1 day, 19:02:56 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 6.8062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2396 loss: 2.2396 2022/07/28 01:14:19 - mmengine - INFO - Epoch(train) [77][460/3757] lr: 6.2096e-03 eta: 1 day, 19:02:48 time: 0.4107 data_time: 0.0130 memory: 17007 grad_norm: 6.7871 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5838 loss: 1.5838 2022/07/28 01:14:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:14:27 - mmengine - INFO - Epoch(train) [77][480/3757] lr: 6.2096e-03 eta: 1 day, 19:02:40 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 6.9238 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8623 loss: 1.8623 2022/07/28 01:14:35 - mmengine - INFO - Epoch(train) [77][500/3757] lr: 6.2096e-03 eta: 1 day, 19:02:32 time: 0.3924 data_time: 0.0139 memory: 17007 grad_norm: 6.4977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1009 loss: 2.1009 2022/07/28 01:14:43 - mmengine - INFO - Epoch(train) [77][520/3757] lr: 6.2096e-03 eta: 1 day, 19:02:24 time: 0.3997 data_time: 0.0151 memory: 17007 grad_norm: 6.5088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1210 loss: 2.1210 2022/07/28 01:14:51 - mmengine - INFO - Epoch(train) [77][540/3757] lr: 6.2096e-03 eta: 1 day, 19:02:17 time: 0.4005 data_time: 0.0140 memory: 17007 grad_norm: 6.9005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8913 loss: 1.8913 2022/07/28 01:14:59 - mmengine - INFO - Epoch(train) [77][560/3757] lr: 6.2096e-03 eta: 1 day, 19:02:09 time: 0.3936 data_time: 0.0144 memory: 17007 grad_norm: 6.8437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1186 loss: 2.1186 2022/07/28 01:15:07 - mmengine - INFO - Epoch(train) [77][580/3757] lr: 6.2096e-03 eta: 1 day, 19:02:00 time: 0.3925 data_time: 0.0151 memory: 17007 grad_norm: 6.7520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0395 loss: 2.0395 2022/07/28 01:15:15 - mmengine - INFO - Epoch(train) [77][600/3757] lr: 6.2096e-03 eta: 1 day, 19:01:53 time: 0.4006 data_time: 0.0164 memory: 17007 grad_norm: 7.0597 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7119 loss: 1.7119 2022/07/28 01:15:23 - mmengine - INFO - Epoch(train) [77][620/3757] lr: 6.2096e-03 eta: 1 day, 19:01:45 time: 0.3960 data_time: 0.0138 memory: 17007 grad_norm: 7.0855 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8009 loss: 1.8009 2022/07/28 01:15:31 - mmengine - INFO - Epoch(train) [77][640/3757] lr: 6.2096e-03 eta: 1 day, 19:01:37 time: 0.4005 data_time: 0.0163 memory: 17007 grad_norm: 6.8045 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1110 loss: 2.1110 2022/07/28 01:15:39 - mmengine - INFO - Epoch(train) [77][660/3757] lr: 6.2096e-03 eta: 1 day, 19:01:29 time: 0.3932 data_time: 0.0155 memory: 17007 grad_norm: 6.8191 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2955 loss: 2.2955 2022/07/28 01:15:47 - mmengine - INFO - Epoch(train) [77][680/3757] lr: 6.2096e-03 eta: 1 day, 19:01:21 time: 0.4027 data_time: 0.0165 memory: 17007 grad_norm: 7.0451 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2526 loss: 2.2526 2022/07/28 01:15:55 - mmengine - INFO - Epoch(train) [77][700/3757] lr: 6.2096e-03 eta: 1 day, 19:01:13 time: 0.3939 data_time: 0.0134 memory: 17007 grad_norm: 6.9990 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1963 loss: 2.1963 2022/07/28 01:16:03 - mmengine - INFO - Epoch(train) [77][720/3757] lr: 6.2096e-03 eta: 1 day, 19:01:05 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 6.7789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1451 loss: 2.1451 2022/07/28 01:16:10 - mmengine - INFO - Epoch(train) [77][740/3757] lr: 6.2096e-03 eta: 1 day, 19:00:57 time: 0.3915 data_time: 0.0144 memory: 17007 grad_norm: 6.8978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9708 loss: 1.9708 2022/07/28 01:16:18 - mmengine - INFO - Epoch(train) [77][760/3757] lr: 6.2096e-03 eta: 1 day, 19:00:49 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 7.0733 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0829 loss: 2.0829 2022/07/28 01:16:26 - mmengine - INFO - Epoch(train) [77][780/3757] lr: 6.2096e-03 eta: 1 day, 19:00:41 time: 0.4045 data_time: 0.0151 memory: 17007 grad_norm: 6.9654 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0930 loss: 2.0930 2022/07/28 01:16:34 - mmengine - INFO - Epoch(train) [77][800/3757] lr: 6.2096e-03 eta: 1 day, 19:00:33 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 6.8758 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8798 loss: 1.8798 2022/07/28 01:16:42 - mmengine - INFO - Epoch(train) [77][820/3757] lr: 6.2096e-03 eta: 1 day, 19:00:25 time: 0.3963 data_time: 0.0155 memory: 17007 grad_norm: 6.8713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0578 loss: 2.0578 2022/07/28 01:16:50 - mmengine - INFO - Epoch(train) [77][840/3757] lr: 6.2096e-03 eta: 1 day, 19:00:17 time: 0.3911 data_time: 0.0151 memory: 17007 grad_norm: 6.8144 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1089 loss: 2.1089 2022/07/28 01:16:58 - mmengine - INFO - Epoch(train) [77][860/3757] lr: 6.2096e-03 eta: 1 day, 19:00:09 time: 0.3933 data_time: 0.0142 memory: 17007 grad_norm: 7.0747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8868 loss: 1.8868 2022/07/28 01:17:06 - mmengine - INFO - Epoch(train) [77][880/3757] lr: 6.2096e-03 eta: 1 day, 19:00:01 time: 0.4113 data_time: 0.0164 memory: 17007 grad_norm: 6.8296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1932 loss: 2.1932 2022/07/28 01:17:14 - mmengine - INFO - Epoch(train) [77][900/3757] lr: 6.2096e-03 eta: 1 day, 18:59:53 time: 0.3929 data_time: 0.0135 memory: 17007 grad_norm: 6.8613 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1771 loss: 2.1771 2022/07/28 01:17:22 - mmengine - INFO - Epoch(train) [77][920/3757] lr: 6.2096e-03 eta: 1 day, 18:59:46 time: 0.4168 data_time: 0.0163 memory: 17007 grad_norm: 6.8968 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0716 loss: 2.0716 2022/07/28 01:17:30 - mmengine - INFO - Epoch(train) [77][940/3757] lr: 6.2096e-03 eta: 1 day, 18:59:38 time: 0.3944 data_time: 0.0147 memory: 17007 grad_norm: 6.8299 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9573 loss: 1.9573 2022/07/28 01:17:38 - mmengine - INFO - Epoch(train) [77][960/3757] lr: 6.2096e-03 eta: 1 day, 18:59:30 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 6.8500 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.0344 loss: 2.0344 2022/07/28 01:17:46 - mmengine - INFO - Epoch(train) [77][980/3757] lr: 6.2096e-03 eta: 1 day, 18:59:22 time: 0.3968 data_time: 0.0145 memory: 17007 grad_norm: 6.7000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9493 loss: 1.9493 2022/07/28 01:17:54 - mmengine - INFO - Epoch(train) [77][1000/3757] lr: 6.2096e-03 eta: 1 day, 18:59:14 time: 0.3957 data_time: 0.0166 memory: 17007 grad_norm: 6.6856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9572 loss: 1.9572 2022/07/28 01:18:02 - mmengine - INFO - Epoch(train) [77][1020/3757] lr: 6.2096e-03 eta: 1 day, 18:59:06 time: 0.3954 data_time: 0.0154 memory: 17007 grad_norm: 7.1460 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3070 loss: 2.3070 2022/07/28 01:18:10 - mmengine - INFO - Epoch(train) [77][1040/3757] lr: 6.2096e-03 eta: 1 day, 18:58:58 time: 0.3964 data_time: 0.0150 memory: 17007 grad_norm: 6.7064 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3176 loss: 2.3176 2022/07/28 01:18:18 - mmengine - INFO - Epoch(train) [77][1060/3757] lr: 6.2096e-03 eta: 1 day, 18:58:50 time: 0.3966 data_time: 0.0135 memory: 17007 grad_norm: 6.9917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2792 loss: 2.2792 2022/07/28 01:18:26 - mmengine - INFO - Epoch(train) [77][1080/3757] lr: 6.2096e-03 eta: 1 day, 18:58:42 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 6.7920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2058 loss: 2.2058 2022/07/28 01:18:34 - mmengine - INFO - Epoch(train) [77][1100/3757] lr: 6.2096e-03 eta: 1 day, 18:58:34 time: 0.3997 data_time: 0.0180 memory: 17007 grad_norm: 6.6822 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7003 loss: 1.7003 2022/07/28 01:18:42 - mmengine - INFO - Epoch(train) [77][1120/3757] lr: 6.2096e-03 eta: 1 day, 18:58:26 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 6.7522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9417 loss: 1.9417 2022/07/28 01:18:50 - mmengine - INFO - Epoch(train) [77][1140/3757] lr: 6.2096e-03 eta: 1 day, 18:58:18 time: 0.4012 data_time: 0.0154 memory: 17007 grad_norm: 6.7384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1284 loss: 2.1284 2022/07/28 01:18:58 - mmengine - INFO - Epoch(train) [77][1160/3757] lr: 6.2096e-03 eta: 1 day, 18:58:10 time: 0.3957 data_time: 0.0168 memory: 17007 grad_norm: 6.5887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0437 loss: 2.0437 2022/07/28 01:19:05 - mmengine - INFO - Epoch(train) [77][1180/3757] lr: 6.2096e-03 eta: 1 day, 18:58:02 time: 0.3920 data_time: 0.0134 memory: 17007 grad_norm: 6.9571 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2107 loss: 2.2107 2022/07/28 01:19:13 - mmengine - INFO - Epoch(train) [77][1200/3757] lr: 6.2096e-03 eta: 1 day, 18:57:54 time: 0.3978 data_time: 0.0168 memory: 17007 grad_norm: 6.5974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/07/28 01:19:21 - mmengine - INFO - Epoch(train) [77][1220/3757] lr: 6.2096e-03 eta: 1 day, 18:57:46 time: 0.3931 data_time: 0.0142 memory: 17007 grad_norm: 6.7645 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9779 loss: 1.9779 2022/07/28 01:19:29 - mmengine - INFO - Epoch(train) [77][1240/3757] lr: 6.2096e-03 eta: 1 day, 18:57:38 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 6.7342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8884 loss: 1.8884 2022/07/28 01:19:37 - mmengine - INFO - Epoch(train) [77][1260/3757] lr: 6.2096e-03 eta: 1 day, 18:57:30 time: 0.4021 data_time: 0.0154 memory: 17007 grad_norm: 6.8232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0888 loss: 2.0888 2022/07/28 01:19:45 - mmengine - INFO - Epoch(train) [77][1280/3757] lr: 6.2096e-03 eta: 1 day, 18:57:23 time: 0.4093 data_time: 0.0163 memory: 17007 grad_norm: 6.9113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1615 loss: 2.1615 2022/07/28 01:19:53 - mmengine - INFO - Epoch(train) [77][1300/3757] lr: 6.2096e-03 eta: 1 day, 18:57:15 time: 0.3955 data_time: 0.0150 memory: 17007 grad_norm: 6.6828 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0790 loss: 2.0790 2022/07/28 01:20:01 - mmengine - INFO - Epoch(train) [77][1320/3757] lr: 6.2096e-03 eta: 1 day, 18:57:07 time: 0.4082 data_time: 0.0154 memory: 17007 grad_norm: 6.8036 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1949 loss: 2.1949 2022/07/28 01:20:09 - mmengine - INFO - Epoch(train) [77][1340/3757] lr: 6.2096e-03 eta: 1 day, 18:56:59 time: 0.3961 data_time: 0.0143 memory: 17007 grad_norm: 6.8223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3088 loss: 2.3088 2022/07/28 01:20:17 - mmengine - INFO - Epoch(train) [77][1360/3757] lr: 6.2096e-03 eta: 1 day, 18:56:51 time: 0.3932 data_time: 0.0143 memory: 17007 grad_norm: 6.9847 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1203 loss: 2.1203 2022/07/28 01:20:26 - mmengine - INFO - Epoch(train) [77][1380/3757] lr: 6.2096e-03 eta: 1 day, 18:56:44 time: 0.4111 data_time: 0.0184 memory: 17007 grad_norm: 6.9355 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1015 loss: 2.1015 2022/07/28 01:20:33 - mmengine - INFO - Epoch(train) [77][1400/3757] lr: 6.2096e-03 eta: 1 day, 18:56:36 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 6.8646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0096 loss: 2.0096 2022/07/28 01:20:41 - mmengine - INFO - Epoch(train) [77][1420/3757] lr: 6.2096e-03 eta: 1 day, 18:56:28 time: 0.4001 data_time: 0.0153 memory: 17007 grad_norm: 6.7619 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9780 loss: 1.9780 2022/07/28 01:20:49 - mmengine - INFO - Epoch(train) [77][1440/3757] lr: 6.2096e-03 eta: 1 day, 18:56:20 time: 0.3930 data_time: 0.0155 memory: 17007 grad_norm: 6.9013 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0980 loss: 2.0980 2022/07/28 01:20:57 - mmengine - INFO - Epoch(train) [77][1460/3757] lr: 6.2096e-03 eta: 1 day, 18:56:12 time: 0.3920 data_time: 0.0133 memory: 17007 grad_norm: 6.7376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3011 loss: 2.3011 2022/07/28 01:21:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:21:05 - mmengine - INFO - Epoch(train) [77][1480/3757] lr: 6.2096e-03 eta: 1 day, 18:56:04 time: 0.4008 data_time: 0.0169 memory: 17007 grad_norm: 6.8024 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9570 loss: 1.9570 2022/07/28 01:21:13 - mmengine - INFO - Epoch(train) [77][1500/3757] lr: 6.2096e-03 eta: 1 day, 18:55:56 time: 0.4012 data_time: 0.0153 memory: 17007 grad_norm: 6.7552 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8887 loss: 1.8887 2022/07/28 01:21:21 - mmengine - INFO - Epoch(train) [77][1520/3757] lr: 6.2096e-03 eta: 1 day, 18:55:48 time: 0.3965 data_time: 0.0175 memory: 17007 grad_norm: 7.1473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1273 loss: 2.1273 2022/07/28 01:21:29 - mmengine - INFO - Epoch(train) [77][1540/3757] lr: 6.2096e-03 eta: 1 day, 18:55:40 time: 0.3948 data_time: 0.0135 memory: 17007 grad_norm: 6.6655 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8322 loss: 1.8322 2022/07/28 01:21:37 - mmengine - INFO - Epoch(train) [77][1560/3757] lr: 6.2096e-03 eta: 1 day, 18:55:32 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 6.8728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0319 loss: 2.0319 2022/07/28 01:21:45 - mmengine - INFO - Epoch(train) [77][1580/3757] lr: 6.2096e-03 eta: 1 day, 18:55:24 time: 0.3959 data_time: 0.0133 memory: 17007 grad_norm: 6.9066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4041 loss: 2.4041 2022/07/28 01:21:53 - mmengine - INFO - Epoch(train) [77][1600/3757] lr: 6.2096e-03 eta: 1 day, 18:55:16 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 7.1222 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4197 loss: 2.4197 2022/07/28 01:22:01 - mmengine - INFO - Epoch(train) [77][1620/3757] lr: 6.2096e-03 eta: 1 day, 18:55:08 time: 0.3981 data_time: 0.0175 memory: 17007 grad_norm: 6.8381 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7300 loss: 1.7300 2022/07/28 01:22:09 - mmengine - INFO - Epoch(train) [77][1640/3757] lr: 6.2096e-03 eta: 1 day, 18:55:00 time: 0.3920 data_time: 0.0147 memory: 17007 grad_norm: 6.8859 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0101 loss: 2.0101 2022/07/28 01:22:16 - mmengine - INFO - Epoch(train) [77][1660/3757] lr: 6.2096e-03 eta: 1 day, 18:54:52 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 6.5688 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8037 loss: 1.8037 2022/07/28 01:22:24 - mmengine - INFO - Epoch(train) [77][1680/3757] lr: 6.2096e-03 eta: 1 day, 18:54:44 time: 0.3960 data_time: 0.0165 memory: 17007 grad_norm: 7.0987 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1106 loss: 2.1106 2022/07/28 01:22:32 - mmengine - INFO - Epoch(train) [77][1700/3757] lr: 6.2096e-03 eta: 1 day, 18:54:36 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 7.1771 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.4127 loss: 2.4127 2022/07/28 01:22:40 - mmengine - INFO - Epoch(train) [77][1720/3757] lr: 6.2096e-03 eta: 1 day, 18:54:28 time: 0.4067 data_time: 0.0161 memory: 17007 grad_norm: 6.7541 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3011 loss: 2.3011 2022/07/28 01:22:48 - mmengine - INFO - Epoch(train) [77][1740/3757] lr: 6.2096e-03 eta: 1 day, 18:54:20 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.9907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6887 loss: 1.6887 2022/07/28 01:22:56 - mmengine - INFO - Epoch(train) [77][1760/3757] lr: 6.2096e-03 eta: 1 day, 18:54:12 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 7.0300 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0223 loss: 2.0223 2022/07/28 01:23:04 - mmengine - INFO - Epoch(train) [77][1780/3757] lr: 6.2096e-03 eta: 1 day, 18:54:04 time: 0.3915 data_time: 0.0139 memory: 17007 grad_norm: 7.0521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0781 loss: 2.0781 2022/07/28 01:23:12 - mmengine - INFO - Epoch(train) [77][1800/3757] lr: 6.2096e-03 eta: 1 day, 18:53:56 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 6.9954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7244 loss: 1.7244 2022/07/28 01:23:20 - mmengine - INFO - Epoch(train) [77][1820/3757] lr: 6.2096e-03 eta: 1 day, 18:53:48 time: 0.3939 data_time: 0.0141 memory: 17007 grad_norm: 6.9001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0277 loss: 2.0277 2022/07/28 01:23:28 - mmengine - INFO - Epoch(train) [77][1840/3757] lr: 6.2096e-03 eta: 1 day, 18:53:40 time: 0.3952 data_time: 0.0157 memory: 17007 grad_norm: 6.7630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9402 loss: 1.9402 2022/07/28 01:23:36 - mmengine - INFO - Epoch(train) [77][1860/3757] lr: 6.2096e-03 eta: 1 day, 18:53:32 time: 0.3943 data_time: 0.0145 memory: 17007 grad_norm: 6.8863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2160 loss: 2.2160 2022/07/28 01:23:44 - mmengine - INFO - Epoch(train) [77][1880/3757] lr: 6.2096e-03 eta: 1 day, 18:53:24 time: 0.3987 data_time: 0.0165 memory: 17007 grad_norm: 7.2285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1188 loss: 2.1188 2022/07/28 01:23:51 - mmengine - INFO - Epoch(train) [77][1900/3757] lr: 6.2096e-03 eta: 1 day, 18:53:16 time: 0.3950 data_time: 0.0151 memory: 17007 grad_norm: 7.3007 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9869 loss: 1.9869 2022/07/28 01:23:59 - mmengine - INFO - Epoch(train) [77][1920/3757] lr: 6.2096e-03 eta: 1 day, 18:53:08 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 6.8823 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3885 loss: 2.3885 2022/07/28 01:24:07 - mmengine - INFO - Epoch(train) [77][1940/3757] lr: 6.2096e-03 eta: 1 day, 18:53:00 time: 0.3955 data_time: 0.0152 memory: 17007 grad_norm: 6.8484 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0632 loss: 2.0632 2022/07/28 01:24:15 - mmengine - INFO - Epoch(train) [77][1960/3757] lr: 6.2096e-03 eta: 1 day, 18:52:52 time: 0.3947 data_time: 0.0156 memory: 17007 grad_norm: 6.9032 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0629 loss: 2.0629 2022/07/28 01:24:23 - mmengine - INFO - Epoch(train) [77][1980/3757] lr: 6.2096e-03 eta: 1 day, 18:52:44 time: 0.4048 data_time: 0.0162 memory: 17007 grad_norm: 6.8073 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1392 loss: 2.1392 2022/07/28 01:24:31 - mmengine - INFO - Epoch(train) [77][2000/3757] lr: 6.2096e-03 eta: 1 day, 18:52:36 time: 0.3928 data_time: 0.0147 memory: 17007 grad_norm: 7.1049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4052 loss: 2.4052 2022/07/28 01:24:39 - mmengine - INFO - Epoch(train) [77][2020/3757] lr: 6.2096e-03 eta: 1 day, 18:52:28 time: 0.3921 data_time: 0.0142 memory: 17007 grad_norm: 6.8433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9687 loss: 1.9687 2022/07/28 01:24:47 - mmengine - INFO - Epoch(train) [77][2040/3757] lr: 6.2096e-03 eta: 1 day, 18:52:20 time: 0.3990 data_time: 0.0159 memory: 17007 grad_norm: 6.9901 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1036 loss: 2.1036 2022/07/28 01:24:55 - mmengine - INFO - Epoch(train) [77][2060/3757] lr: 6.2096e-03 eta: 1 day, 18:52:12 time: 0.3933 data_time: 0.0144 memory: 17007 grad_norm: 7.0861 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8255 loss: 1.8255 2022/07/28 01:25:03 - mmengine - INFO - Epoch(train) [77][2080/3757] lr: 6.2096e-03 eta: 1 day, 18:52:04 time: 0.4011 data_time: 0.0169 memory: 17007 grad_norm: 6.7661 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8057 loss: 1.8057 2022/07/28 01:25:11 - mmengine - INFO - Epoch(train) [77][2100/3757] lr: 6.2096e-03 eta: 1 day, 18:51:56 time: 0.3927 data_time: 0.0129 memory: 17007 grad_norm: 7.1834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9442 loss: 1.9442 2022/07/28 01:25:19 - mmengine - INFO - Epoch(train) [77][2120/3757] lr: 6.2096e-03 eta: 1 day, 18:51:48 time: 0.3932 data_time: 0.0148 memory: 17007 grad_norm: 6.6966 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0506 loss: 2.0506 2022/07/28 01:25:27 - mmengine - INFO - Epoch(train) [77][2140/3757] lr: 6.2096e-03 eta: 1 day, 18:51:40 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 6.7026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9841 loss: 1.9841 2022/07/28 01:25:34 - mmengine - INFO - Epoch(train) [77][2160/3757] lr: 6.2096e-03 eta: 1 day, 18:51:32 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 6.9747 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1549 loss: 2.1549 2022/07/28 01:25:42 - mmengine - INFO - Epoch(train) [77][2180/3757] lr: 6.2096e-03 eta: 1 day, 18:51:24 time: 0.4005 data_time: 0.0153 memory: 17007 grad_norm: 6.7079 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1986 loss: 2.1986 2022/07/28 01:25:50 - mmengine - INFO - Epoch(train) [77][2200/3757] lr: 6.2096e-03 eta: 1 day, 18:51:17 time: 0.3999 data_time: 0.0159 memory: 17007 grad_norm: 6.7441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8454 loss: 1.8454 2022/07/28 01:25:58 - mmengine - INFO - Epoch(train) [77][2220/3757] lr: 6.2096e-03 eta: 1 day, 18:51:08 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 6.9491 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5701 loss: 2.5701 2022/07/28 01:26:06 - mmengine - INFO - Epoch(train) [77][2240/3757] lr: 6.2096e-03 eta: 1 day, 18:51:01 time: 0.4030 data_time: 0.0192 memory: 17007 grad_norm: 6.8326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3034 loss: 2.3034 2022/07/28 01:26:14 - mmengine - INFO - Epoch(train) [77][2260/3757] lr: 6.2096e-03 eta: 1 day, 18:50:53 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 6.9279 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0356 loss: 2.0356 2022/07/28 01:26:22 - mmengine - INFO - Epoch(train) [77][2280/3757] lr: 6.2096e-03 eta: 1 day, 18:50:45 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 7.0042 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1944 loss: 2.1944 2022/07/28 01:26:30 - mmengine - INFO - Epoch(train) [77][2300/3757] lr: 6.2096e-03 eta: 1 day, 18:50:37 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 6.6091 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8217 loss: 1.8217 2022/07/28 01:26:38 - mmengine - INFO - Epoch(train) [77][2320/3757] lr: 6.2096e-03 eta: 1 day, 18:50:29 time: 0.3922 data_time: 0.0144 memory: 17007 grad_norm: 6.6681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0498 loss: 2.0498 2022/07/28 01:26:46 - mmengine - INFO - Epoch(train) [77][2340/3757] lr: 6.2096e-03 eta: 1 day, 18:50:21 time: 0.3973 data_time: 0.0156 memory: 17007 grad_norm: 6.7646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0180 loss: 2.0180 2022/07/28 01:26:54 - mmengine - INFO - Epoch(train) [77][2360/3757] lr: 6.2096e-03 eta: 1 day, 18:50:13 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 7.0983 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2113 loss: 2.2113 2022/07/28 01:27:02 - mmengine - INFO - Epoch(train) [77][2380/3757] lr: 6.2096e-03 eta: 1 day, 18:50:05 time: 0.3995 data_time: 0.0205 memory: 17007 grad_norm: 6.8937 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1480 loss: 2.1480 2022/07/28 01:27:10 - mmengine - INFO - Epoch(train) [77][2400/3757] lr: 6.2096e-03 eta: 1 day, 18:49:57 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 6.9989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2336 loss: 2.2336 2022/07/28 01:27:17 - mmengine - INFO - Epoch(train) [77][2420/3757] lr: 6.2096e-03 eta: 1 day, 18:49:49 time: 0.3936 data_time: 0.0143 memory: 17007 grad_norm: 7.1446 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9223 loss: 1.9223 2022/07/28 01:27:25 - mmengine - INFO - Epoch(train) [77][2440/3757] lr: 6.2096e-03 eta: 1 day, 18:49:41 time: 0.3979 data_time: 0.0161 memory: 17007 grad_norm: 6.8041 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9864 loss: 1.9864 2022/07/28 01:27:33 - mmengine - INFO - Epoch(train) [77][2460/3757] lr: 6.2096e-03 eta: 1 day, 18:49:33 time: 0.3935 data_time: 0.0147 memory: 17007 grad_norm: 7.0578 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1898 loss: 2.1898 2022/07/28 01:27:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:27:41 - mmengine - INFO - Epoch(train) [77][2480/3757] lr: 6.2096e-03 eta: 1 day, 18:49:25 time: 0.3971 data_time: 0.0160 memory: 17007 grad_norm: 6.9317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2455 loss: 2.2455 2022/07/28 01:27:49 - mmengine - INFO - Epoch(train) [77][2500/3757] lr: 6.2096e-03 eta: 1 day, 18:49:17 time: 0.3919 data_time: 0.0144 memory: 17007 grad_norm: 6.7074 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1143 loss: 2.1143 2022/07/28 01:27:57 - mmengine - INFO - Epoch(train) [77][2520/3757] lr: 6.2096e-03 eta: 1 day, 18:49:09 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 6.9284 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1183 loss: 2.1183 2022/07/28 01:28:05 - mmengine - INFO - Epoch(train) [77][2540/3757] lr: 6.2096e-03 eta: 1 day, 18:49:01 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 6.7076 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5760 loss: 2.5760 2022/07/28 01:28:13 - mmengine - INFO - Epoch(train) [77][2560/3757] lr: 6.2096e-03 eta: 1 day, 18:48:53 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 6.9947 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1142 loss: 2.1142 2022/07/28 01:28:21 - mmengine - INFO - Epoch(train) [77][2580/3757] lr: 6.2096e-03 eta: 1 day, 18:48:45 time: 0.3943 data_time: 0.0148 memory: 17007 grad_norm: 7.0043 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9733 loss: 1.9733 2022/07/28 01:28:29 - mmengine - INFO - Epoch(train) [77][2600/3757] lr: 6.2096e-03 eta: 1 day, 18:48:37 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 7.3921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4621 loss: 2.4621 2022/07/28 01:28:37 - mmengine - INFO - Epoch(train) [77][2620/3757] lr: 6.2096e-03 eta: 1 day, 18:48:29 time: 0.3944 data_time: 0.0147 memory: 17007 grad_norm: 6.8106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2282 loss: 2.2282 2022/07/28 01:28:44 - mmengine - INFO - Epoch(train) [77][2640/3757] lr: 6.2096e-03 eta: 1 day, 18:48:21 time: 0.3954 data_time: 0.0164 memory: 17007 grad_norm: 6.6657 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2674 loss: 2.2674 2022/07/28 01:28:52 - mmengine - INFO - Epoch(train) [77][2660/3757] lr: 6.2096e-03 eta: 1 day, 18:48:13 time: 0.3924 data_time: 0.0140 memory: 17007 grad_norm: 7.1227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2759 loss: 2.2759 2022/07/28 01:29:00 - mmengine - INFO - Epoch(train) [77][2680/3757] lr: 6.2096e-03 eta: 1 day, 18:48:05 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 7.1021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9549 loss: 1.9549 2022/07/28 01:29:08 - mmengine - INFO - Epoch(train) [77][2700/3757] lr: 6.2096e-03 eta: 1 day, 18:47:57 time: 0.3973 data_time: 0.0189 memory: 17007 grad_norm: 6.8172 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8858 loss: 1.8858 2022/07/28 01:29:16 - mmengine - INFO - Epoch(train) [77][2720/3757] lr: 6.2096e-03 eta: 1 day, 18:47:49 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 6.9003 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1611 loss: 2.1611 2022/07/28 01:29:24 - mmengine - INFO - Epoch(train) [77][2740/3757] lr: 6.2096e-03 eta: 1 day, 18:47:41 time: 0.3955 data_time: 0.0152 memory: 17007 grad_norm: 6.7828 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1718 loss: 2.1718 2022/07/28 01:29:32 - mmengine - INFO - Epoch(train) [77][2760/3757] lr: 6.2096e-03 eta: 1 day, 18:47:33 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 6.7985 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2316 loss: 2.2316 2022/07/28 01:29:40 - mmengine - INFO - Epoch(train) [77][2780/3757] lr: 6.2096e-03 eta: 1 day, 18:47:25 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 7.1364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4099 loss: 2.4099 2022/07/28 01:29:48 - mmengine - INFO - Epoch(train) [77][2800/3757] lr: 6.2096e-03 eta: 1 day, 18:47:17 time: 0.3990 data_time: 0.0159 memory: 17007 grad_norm: 6.7208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0794 loss: 2.0794 2022/07/28 01:29:56 - mmengine - INFO - Epoch(train) [77][2820/3757] lr: 6.2096e-03 eta: 1 day, 18:47:09 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 6.6578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1317 loss: 2.1317 2022/07/28 01:30:04 - mmengine - INFO - Epoch(train) [77][2840/3757] lr: 6.2096e-03 eta: 1 day, 18:47:01 time: 0.3991 data_time: 0.0167 memory: 17007 grad_norm: 6.6055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9939 loss: 1.9939 2022/07/28 01:30:11 - mmengine - INFO - Epoch(train) [77][2860/3757] lr: 6.2096e-03 eta: 1 day, 18:46:53 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 6.7228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2498 loss: 2.2498 2022/07/28 01:30:19 - mmengine - INFO - Epoch(train) [77][2880/3757] lr: 6.2096e-03 eta: 1 day, 18:46:45 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 6.9044 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0208 loss: 2.0208 2022/07/28 01:30:27 - mmengine - INFO - Epoch(train) [77][2900/3757] lr: 6.2096e-03 eta: 1 day, 18:46:37 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 7.2147 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1057 loss: 2.1057 2022/07/28 01:30:35 - mmengine - INFO - Epoch(train) [77][2920/3757] lr: 6.2096e-03 eta: 1 day, 18:46:29 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 6.7409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1317 loss: 2.1317 2022/07/28 01:30:43 - mmengine - INFO - Epoch(train) [77][2940/3757] lr: 6.2096e-03 eta: 1 day, 18:46:21 time: 0.3937 data_time: 0.0151 memory: 17007 grad_norm: 6.8492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1099 loss: 2.1099 2022/07/28 01:30:52 - mmengine - INFO - Epoch(train) [77][2960/3757] lr: 6.2096e-03 eta: 1 day, 18:46:13 time: 0.4212 data_time: 0.0153 memory: 17007 grad_norm: 6.8862 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0576 loss: 2.0576 2022/07/28 01:30:59 - mmengine - INFO - Epoch(train) [77][2980/3757] lr: 6.2096e-03 eta: 1 day, 18:46:05 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.7444 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9544 loss: 1.9544 2022/07/28 01:31:07 - mmengine - INFO - Epoch(train) [77][3000/3757] lr: 6.2096e-03 eta: 1 day, 18:45:57 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 6.7452 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3529 loss: 2.3529 2022/07/28 01:31:16 - mmengine - INFO - Epoch(train) [77][3020/3757] lr: 6.2096e-03 eta: 1 day, 18:45:50 time: 0.4216 data_time: 0.0178 memory: 17007 grad_norm: 6.8426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2970 loss: 2.2970 2022/07/28 01:31:24 - mmengine - INFO - Epoch(train) [77][3040/3757] lr: 6.2096e-03 eta: 1 day, 18:45:42 time: 0.3959 data_time: 0.0168 memory: 17007 grad_norm: 6.7311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9898 loss: 1.9898 2022/07/28 01:31:32 - mmengine - INFO - Epoch(train) [77][3060/3757] lr: 6.2096e-03 eta: 1 day, 18:45:35 time: 0.4257 data_time: 0.0147 memory: 17007 grad_norm: 7.1381 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2442 loss: 2.2442 2022/07/28 01:31:40 - mmengine - INFO - Epoch(train) [77][3080/3757] lr: 6.2096e-03 eta: 1 day, 18:45:27 time: 0.3957 data_time: 0.0157 memory: 17007 grad_norm: 6.8154 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2816 loss: 2.2816 2022/07/28 01:31:48 - mmengine - INFO - Epoch(train) [77][3100/3757] lr: 6.2096e-03 eta: 1 day, 18:45:19 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 6.9842 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1359 loss: 2.1359 2022/07/28 01:31:56 - mmengine - INFO - Epoch(train) [77][3120/3757] lr: 6.2096e-03 eta: 1 day, 18:45:11 time: 0.4148 data_time: 0.0206 memory: 17007 grad_norm: 6.4465 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0671 loss: 2.0671 2022/07/28 01:32:04 - mmengine - INFO - Epoch(train) [77][3140/3757] lr: 6.2096e-03 eta: 1 day, 18:45:03 time: 0.3932 data_time: 0.0146 memory: 17007 grad_norm: 7.0158 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1178 loss: 2.1178 2022/07/28 01:32:12 - mmengine - INFO - Epoch(train) [77][3160/3757] lr: 6.2096e-03 eta: 1 day, 18:44:55 time: 0.3974 data_time: 0.0179 memory: 17007 grad_norm: 6.9014 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9559 loss: 1.9559 2022/07/28 01:32:20 - mmengine - INFO - Epoch(train) [77][3180/3757] lr: 6.2096e-03 eta: 1 day, 18:44:47 time: 0.3931 data_time: 0.0140 memory: 17007 grad_norm: 6.8086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9537 loss: 1.9537 2022/07/28 01:32:28 - mmengine - INFO - Epoch(train) [77][3200/3757] lr: 6.2096e-03 eta: 1 day, 18:44:39 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.7279 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8314 loss: 1.8314 2022/07/28 01:32:36 - mmengine - INFO - Epoch(train) [77][3220/3757] lr: 6.2096e-03 eta: 1 day, 18:44:31 time: 0.4002 data_time: 0.0170 memory: 17007 grad_norm: 6.9093 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4395 loss: 2.4395 2022/07/28 01:32:44 - mmengine - INFO - Epoch(train) [77][3240/3757] lr: 6.2096e-03 eta: 1 day, 18:44:23 time: 0.3949 data_time: 0.0161 memory: 17007 grad_norm: 7.4018 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9875 loss: 1.9875 2022/07/28 01:32:52 - mmengine - INFO - Epoch(train) [77][3260/3757] lr: 6.2096e-03 eta: 1 day, 18:44:15 time: 0.3955 data_time: 0.0163 memory: 17007 grad_norm: 6.8039 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2547 loss: 2.2547 2022/07/28 01:33:00 - mmengine - INFO - Epoch(train) [77][3280/3757] lr: 6.2096e-03 eta: 1 day, 18:44:07 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 7.0389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1657 loss: 2.1657 2022/07/28 01:33:08 - mmengine - INFO - Epoch(train) [77][3300/3757] lr: 6.2096e-03 eta: 1 day, 18:43:59 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 6.9014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8794 loss: 1.8794 2022/07/28 01:33:16 - mmengine - INFO - Epoch(train) [77][3320/3757] lr: 6.2096e-03 eta: 1 day, 18:43:52 time: 0.4019 data_time: 0.0167 memory: 17007 grad_norm: 6.9881 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2894 loss: 2.2894 2022/07/28 01:33:23 - mmengine - INFO - Epoch(train) [77][3340/3757] lr: 6.2096e-03 eta: 1 day, 18:43:44 time: 0.3951 data_time: 0.0149 memory: 17007 grad_norm: 7.0142 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3196 loss: 2.3196 2022/07/28 01:33:31 - mmengine - INFO - Epoch(train) [77][3360/3757] lr: 6.2096e-03 eta: 1 day, 18:43:36 time: 0.3954 data_time: 0.0170 memory: 17007 grad_norm: 7.0861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0732 loss: 2.0732 2022/07/28 01:33:39 - mmengine - INFO - Epoch(train) [77][3380/3757] lr: 6.2096e-03 eta: 1 day, 18:43:28 time: 0.3923 data_time: 0.0137 memory: 17007 grad_norm: 7.0308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3885 loss: 2.3885 2022/07/28 01:33:47 - mmengine - INFO - Epoch(train) [77][3400/3757] lr: 6.2096e-03 eta: 1 day, 18:43:20 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 6.7619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6379 loss: 2.6379 2022/07/28 01:33:55 - mmengine - INFO - Epoch(train) [77][3420/3757] lr: 6.2096e-03 eta: 1 day, 18:43:12 time: 0.3970 data_time: 0.0154 memory: 17007 grad_norm: 6.5747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0882 loss: 2.0882 2022/07/28 01:34:03 - mmengine - INFO - Epoch(train) [77][3440/3757] lr: 6.2096e-03 eta: 1 day, 18:43:04 time: 0.4017 data_time: 0.0160 memory: 17007 grad_norm: 6.8473 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0756 loss: 2.0756 2022/07/28 01:34:11 - mmengine - INFO - Epoch(train) [77][3460/3757] lr: 6.2096e-03 eta: 1 day, 18:42:56 time: 0.4017 data_time: 0.0149 memory: 17007 grad_norm: 6.8567 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9795 loss: 1.9795 2022/07/28 01:34:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:34:19 - mmengine - INFO - Epoch(train) [77][3480/3757] lr: 6.2096e-03 eta: 1 day, 18:42:48 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 6.8204 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1656 loss: 2.1656 2022/07/28 01:34:27 - mmengine - INFO - Epoch(train) [77][3500/3757] lr: 6.2096e-03 eta: 1 day, 18:42:40 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 6.7166 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9439 loss: 1.9439 2022/07/28 01:34:35 - mmengine - INFO - Epoch(train) [77][3520/3757] lr: 6.2096e-03 eta: 1 day, 18:42:32 time: 0.4006 data_time: 0.0163 memory: 17007 grad_norm: 6.7584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0741 loss: 2.0741 2022/07/28 01:34:43 - mmengine - INFO - Epoch(train) [77][3540/3757] lr: 6.2096e-03 eta: 1 day, 18:42:24 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 6.6404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0431 loss: 2.0431 2022/07/28 01:34:51 - mmengine - INFO - Epoch(train) [77][3560/3757] lr: 6.2096e-03 eta: 1 day, 18:42:16 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 6.7380 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2549 loss: 2.2549 2022/07/28 01:34:59 - mmengine - INFO - Epoch(train) [77][3580/3757] lr: 6.2096e-03 eta: 1 day, 18:42:08 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 6.9225 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1590 loss: 2.1590 2022/07/28 01:35:07 - mmengine - INFO - Epoch(train) [77][3600/3757] lr: 6.2096e-03 eta: 1 day, 18:42:00 time: 0.3976 data_time: 0.0166 memory: 17007 grad_norm: 6.4969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6669 loss: 1.6669 2022/07/28 01:35:14 - mmengine - INFO - Epoch(train) [77][3620/3757] lr: 6.2096e-03 eta: 1 day, 18:41:52 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 6.4357 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0343 loss: 2.0343 2022/07/28 01:35:22 - mmengine - INFO - Epoch(train) [77][3640/3757] lr: 6.2096e-03 eta: 1 day, 18:41:44 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 6.8798 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4152 loss: 2.4152 2022/07/28 01:35:30 - mmengine - INFO - Epoch(train) [77][3660/3757] lr: 6.2096e-03 eta: 1 day, 18:41:36 time: 0.3926 data_time: 0.0135 memory: 17007 grad_norm: 6.7896 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1776 loss: 2.1776 2022/07/28 01:35:38 - mmengine - INFO - Epoch(train) [77][3680/3757] lr: 6.2096e-03 eta: 1 day, 18:41:28 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 6.7738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9311 loss: 1.9311 2022/07/28 01:35:46 - mmengine - INFO - Epoch(train) [77][3700/3757] lr: 6.2096e-03 eta: 1 day, 18:41:20 time: 0.3993 data_time: 0.0149 memory: 17007 grad_norm: 6.9196 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9612 loss: 1.9612 2022/07/28 01:35:54 - mmengine - INFO - Epoch(train) [77][3720/3757] lr: 6.2096e-03 eta: 1 day, 18:41:12 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 6.7715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0835 loss: 2.0835 2022/07/28 01:36:02 - mmengine - INFO - Epoch(train) [77][3740/3757] lr: 6.2096e-03 eta: 1 day, 18:41:04 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 6.8205 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1511 loss: 2.1511 2022/07/28 01:36:09 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:36:09 - mmengine - INFO - Epoch(train) [77][3757/3757] lr: 6.2096e-03 eta: 1 day, 18:41:04 time: 0.3914 data_time: 0.0163 memory: 17007 grad_norm: 6.8453 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.1747 loss: 2.1747 2022/07/28 01:36:09 - mmengine - INFO - Saving checkpoint at 77 epochs 2022/07/28 01:36:19 - mmengine - INFO - Epoch(train) [78][20/3757] lr: 6.1248e-03 eta: 1 day, 18:40:42 time: 0.4441 data_time: 0.0650 memory: 17007 grad_norm: 6.6559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0669 loss: 2.0669 2022/07/28 01:36:27 - mmengine - INFO - Epoch(train) [78][40/3757] lr: 6.1248e-03 eta: 1 day, 18:40:34 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 6.7540 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2435 loss: 2.2435 2022/07/28 01:36:35 - mmengine - INFO - Epoch(train) [78][60/3757] lr: 6.1248e-03 eta: 1 day, 18:40:26 time: 0.3927 data_time: 0.0150 memory: 17007 grad_norm: 6.7263 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2885 loss: 2.2885 2022/07/28 01:36:43 - mmengine - INFO - Epoch(train) [78][80/3757] lr: 6.1248e-03 eta: 1 day, 18:40:18 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 6.7080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0575 loss: 2.0575 2022/07/28 01:36:51 - mmengine - INFO - Epoch(train) [78][100/3757] lr: 6.1248e-03 eta: 1 day, 18:40:10 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 6.5594 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0081 loss: 2.0081 2022/07/28 01:36:59 - mmengine - INFO - Epoch(train) [78][120/3757] lr: 6.1248e-03 eta: 1 day, 18:40:02 time: 0.4024 data_time: 0.0162 memory: 17007 grad_norm: 6.9688 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3191 loss: 2.3191 2022/07/28 01:37:07 - mmengine - INFO - Epoch(train) [78][140/3757] lr: 6.1248e-03 eta: 1 day, 18:39:54 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 6.5418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0013 loss: 2.0013 2022/07/28 01:37:15 - mmengine - INFO - Epoch(train) [78][160/3757] lr: 6.1248e-03 eta: 1 day, 18:39:46 time: 0.4053 data_time: 0.0160 memory: 17007 grad_norm: 7.0266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0351 loss: 2.0351 2022/07/28 01:37:23 - mmengine - INFO - Epoch(train) [78][180/3757] lr: 6.1248e-03 eta: 1 day, 18:39:38 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 6.8960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9892 loss: 1.9892 2022/07/28 01:37:31 - mmengine - INFO - Epoch(train) [78][200/3757] lr: 6.1248e-03 eta: 1 day, 18:39:30 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 6.9045 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3734 loss: 2.3734 2022/07/28 01:37:39 - mmengine - INFO - Epoch(train) [78][220/3757] lr: 6.1248e-03 eta: 1 day, 18:39:22 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.4794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7600 loss: 1.7600 2022/07/28 01:37:46 - mmengine - INFO - Epoch(train) [78][240/3757] lr: 6.1248e-03 eta: 1 day, 18:39:14 time: 0.3962 data_time: 0.0157 memory: 17007 grad_norm: 6.7075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0979 loss: 2.0979 2022/07/28 01:37:55 - mmengine - INFO - Epoch(train) [78][260/3757] lr: 6.1248e-03 eta: 1 day, 18:39:06 time: 0.4054 data_time: 0.0151 memory: 17007 grad_norm: 6.6632 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9812 loss: 1.9812 2022/07/28 01:38:02 - mmengine - INFO - Epoch(train) [78][280/3757] lr: 6.1248e-03 eta: 1 day, 18:38:58 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 6.7812 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1105 loss: 2.1105 2022/07/28 01:38:10 - mmengine - INFO - Epoch(train) [78][300/3757] lr: 6.1248e-03 eta: 1 day, 18:38:50 time: 0.3912 data_time: 0.0141 memory: 17007 grad_norm: 6.8670 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1261 loss: 2.1261 2022/07/28 01:38:18 - mmengine - INFO - Epoch(train) [78][320/3757] lr: 6.1248e-03 eta: 1 day, 18:38:42 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 6.9403 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2666 loss: 2.2666 2022/07/28 01:38:26 - mmengine - INFO - Epoch(train) [78][340/3757] lr: 6.1248e-03 eta: 1 day, 18:38:34 time: 0.3953 data_time: 0.0154 memory: 17007 grad_norm: 6.8566 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7639 loss: 1.7639 2022/07/28 01:38:34 - mmengine - INFO - Epoch(train) [78][360/3757] lr: 6.1248e-03 eta: 1 day, 18:38:26 time: 0.3962 data_time: 0.0146 memory: 17007 grad_norm: 6.6958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1130 loss: 2.1130 2022/07/28 01:38:42 - mmengine - INFO - Epoch(train) [78][380/3757] lr: 6.1248e-03 eta: 1 day, 18:38:18 time: 0.3930 data_time: 0.0147 memory: 17007 grad_norm: 6.7183 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9617 loss: 1.9617 2022/07/28 01:38:50 - mmengine - INFO - Epoch(train) [78][400/3757] lr: 6.1248e-03 eta: 1 day, 18:38:10 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 6.8729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8061 loss: 1.8061 2022/07/28 01:38:58 - mmengine - INFO - Epoch(train) [78][420/3757] lr: 6.1248e-03 eta: 1 day, 18:38:02 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 7.1898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1476 loss: 2.1476 2022/07/28 01:39:06 - mmengine - INFO - Epoch(train) [78][440/3757] lr: 6.1248e-03 eta: 1 day, 18:37:54 time: 0.3972 data_time: 0.0172 memory: 17007 grad_norm: 6.7461 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8940 loss: 1.8940 2022/07/28 01:39:14 - mmengine - INFO - Epoch(train) [78][460/3757] lr: 6.1248e-03 eta: 1 day, 18:37:46 time: 0.3955 data_time: 0.0141 memory: 17007 grad_norm: 6.9082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1644 loss: 2.1644 2022/07/28 01:39:21 - mmengine - INFO - Epoch(train) [78][480/3757] lr: 6.1248e-03 eta: 1 day, 18:37:38 time: 0.3937 data_time: 0.0156 memory: 17007 grad_norm: 6.9903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1454 loss: 2.1454 2022/07/28 01:39:29 - mmengine - INFO - Epoch(train) [78][500/3757] lr: 6.1248e-03 eta: 1 day, 18:37:30 time: 0.3932 data_time: 0.0136 memory: 17007 grad_norm: 6.7700 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1276 loss: 2.1276 2022/07/28 01:39:37 - mmengine - INFO - Epoch(train) [78][520/3757] lr: 6.1248e-03 eta: 1 day, 18:37:22 time: 0.3944 data_time: 0.0144 memory: 17007 grad_norm: 6.6707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2223 loss: 2.2223 2022/07/28 01:39:45 - mmengine - INFO - Epoch(train) [78][540/3757] lr: 6.1248e-03 eta: 1 day, 18:37:14 time: 0.4017 data_time: 0.0154 memory: 17007 grad_norm: 7.1630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0259 loss: 2.0259 2022/07/28 01:39:53 - mmengine - INFO - Epoch(train) [78][560/3757] lr: 6.1248e-03 eta: 1 day, 18:37:06 time: 0.3970 data_time: 0.0160 memory: 17007 grad_norm: 6.6586 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1080 loss: 2.1080 2022/07/28 01:40:01 - mmengine - INFO - Epoch(train) [78][580/3757] lr: 6.1248e-03 eta: 1 day, 18:36:58 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 6.4816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7376 loss: 1.7376 2022/07/28 01:40:09 - mmengine - INFO - Epoch(train) [78][600/3757] lr: 6.1248e-03 eta: 1 day, 18:36:50 time: 0.3949 data_time: 0.0170 memory: 17007 grad_norm: 6.5202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9485 loss: 1.9485 2022/07/28 01:40:17 - mmengine - INFO - Epoch(train) [78][620/3757] lr: 6.1248e-03 eta: 1 day, 18:36:42 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 6.9012 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0649 loss: 2.0649 2022/07/28 01:40:25 - mmengine - INFO - Epoch(train) [78][640/3757] lr: 6.1248e-03 eta: 1 day, 18:36:34 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 6.8661 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3110 loss: 2.3110 2022/07/28 01:40:33 - mmengine - INFO - Epoch(train) [78][660/3757] lr: 6.1248e-03 eta: 1 day, 18:36:26 time: 0.3950 data_time: 0.0154 memory: 17007 grad_norm: 6.8330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5642 loss: 1.5642 2022/07/28 01:40:41 - mmengine - INFO - Epoch(train) [78][680/3757] lr: 6.1248e-03 eta: 1 day, 18:36:18 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 6.6170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1882 loss: 2.1882 2022/07/28 01:40:49 - mmengine - INFO - Epoch(train) [78][700/3757] lr: 6.1248e-03 eta: 1 day, 18:36:10 time: 0.3957 data_time: 0.0148 memory: 17007 grad_norm: 6.6514 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0207 loss: 2.0207 2022/07/28 01:40:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:40:56 - mmengine - INFO - Epoch(train) [78][720/3757] lr: 6.1248e-03 eta: 1 day, 18:36:02 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 6.6330 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0428 loss: 2.0428 2022/07/28 01:41:04 - mmengine - INFO - Epoch(train) [78][740/3757] lr: 6.1248e-03 eta: 1 day, 18:35:54 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 6.9270 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0330 loss: 2.0330 2022/07/28 01:41:12 - mmengine - INFO - Epoch(train) [78][760/3757] lr: 6.1248e-03 eta: 1 day, 18:35:46 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 7.0465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2582 loss: 2.2582 2022/07/28 01:41:20 - mmengine - INFO - Epoch(train) [78][780/3757] lr: 6.1248e-03 eta: 1 day, 18:35:38 time: 0.3931 data_time: 0.0146 memory: 17007 grad_norm: 6.9030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7914 loss: 1.7914 2022/07/28 01:41:28 - mmengine - INFO - Epoch(train) [78][800/3757] lr: 6.1248e-03 eta: 1 day, 18:35:30 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 6.9541 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8700 loss: 1.8700 2022/07/28 01:41:36 - mmengine - INFO - Epoch(train) [78][820/3757] lr: 6.1248e-03 eta: 1 day, 18:35:22 time: 0.4009 data_time: 0.0148 memory: 17007 grad_norm: 6.8886 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8777 loss: 1.8777 2022/07/28 01:41:44 - mmengine - INFO - Epoch(train) [78][840/3757] lr: 6.1248e-03 eta: 1 day, 18:35:14 time: 0.3964 data_time: 0.0165 memory: 17007 grad_norm: 6.9687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7427 loss: 1.7427 2022/07/28 01:41:52 - mmengine - INFO - Epoch(train) [78][860/3757] lr: 6.1248e-03 eta: 1 day, 18:35:06 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 6.8787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0975 loss: 2.0975 2022/07/28 01:42:00 - mmengine - INFO - Epoch(train) [78][880/3757] lr: 6.1248e-03 eta: 1 day, 18:34:58 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 7.0035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0632 loss: 2.0632 2022/07/28 01:42:08 - mmengine - INFO - Epoch(train) [78][900/3757] lr: 6.1248e-03 eta: 1 day, 18:34:50 time: 0.3945 data_time: 0.0145 memory: 17007 grad_norm: 7.0596 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1215 loss: 2.1215 2022/07/28 01:42:16 - mmengine - INFO - Epoch(train) [78][920/3757] lr: 6.1248e-03 eta: 1 day, 18:34:42 time: 0.3994 data_time: 0.0158 memory: 17007 grad_norm: 6.7033 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1714 loss: 2.1714 2022/07/28 01:42:24 - mmengine - INFO - Epoch(train) [78][940/3757] lr: 6.1248e-03 eta: 1 day, 18:34:34 time: 0.3966 data_time: 0.0155 memory: 17007 grad_norm: 6.6842 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9203 loss: 1.9203 2022/07/28 01:42:31 - mmengine - INFO - Epoch(train) [78][960/3757] lr: 6.1248e-03 eta: 1 day, 18:34:26 time: 0.3933 data_time: 0.0155 memory: 17007 grad_norm: 6.7456 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1835 loss: 2.1835 2022/07/28 01:42:39 - mmengine - INFO - Epoch(train) [78][980/3757] lr: 6.1248e-03 eta: 1 day, 18:34:18 time: 0.3921 data_time: 0.0162 memory: 17007 grad_norm: 6.7301 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9316 loss: 1.9316 2022/07/28 01:42:47 - mmengine - INFO - Epoch(train) [78][1000/3757] lr: 6.1248e-03 eta: 1 day, 18:34:10 time: 0.3974 data_time: 0.0162 memory: 17007 grad_norm: 6.8578 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3165 loss: 2.3165 2022/07/28 01:42:55 - mmengine - INFO - Epoch(train) [78][1020/3757] lr: 6.1248e-03 eta: 1 day, 18:34:02 time: 0.3952 data_time: 0.0148 memory: 17007 grad_norm: 7.1921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2313 loss: 2.2313 2022/07/28 01:43:03 - mmengine - INFO - Epoch(train) [78][1040/3757] lr: 6.1248e-03 eta: 1 day, 18:33:54 time: 0.3974 data_time: 0.0161 memory: 17007 grad_norm: 6.7703 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9061 loss: 1.9061 2022/07/28 01:43:11 - mmengine - INFO - Epoch(train) [78][1060/3757] lr: 6.1248e-03 eta: 1 day, 18:33:46 time: 0.3925 data_time: 0.0152 memory: 17007 grad_norm: 7.1188 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3349 loss: 2.3349 2022/07/28 01:43:19 - mmengine - INFO - Epoch(train) [78][1080/3757] lr: 6.1248e-03 eta: 1 day, 18:33:38 time: 0.3953 data_time: 0.0165 memory: 17007 grad_norm: 6.9358 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3220 loss: 2.3220 2022/07/28 01:43:27 - mmengine - INFO - Epoch(train) [78][1100/3757] lr: 6.1248e-03 eta: 1 day, 18:33:30 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 6.6712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8500 loss: 1.8500 2022/07/28 01:43:35 - mmengine - INFO - Epoch(train) [78][1120/3757] lr: 6.1248e-03 eta: 1 day, 18:33:22 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 6.9296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9314 loss: 1.9314 2022/07/28 01:43:43 - mmengine - INFO - Epoch(train) [78][1140/3757] lr: 6.1248e-03 eta: 1 day, 18:33:14 time: 0.3964 data_time: 0.0146 memory: 17007 grad_norm: 6.6437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1510 loss: 2.1510 2022/07/28 01:43:51 - mmengine - INFO - Epoch(train) [78][1160/3757] lr: 6.1248e-03 eta: 1 day, 18:33:06 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 6.9888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3451 loss: 2.3451 2022/07/28 01:43:58 - mmengine - INFO - Epoch(train) [78][1180/3757] lr: 6.1248e-03 eta: 1 day, 18:32:58 time: 0.3946 data_time: 0.0145 memory: 17007 grad_norm: 6.8450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1433 loss: 2.1433 2022/07/28 01:44:06 - mmengine - INFO - Epoch(train) [78][1200/3757] lr: 6.1248e-03 eta: 1 day, 18:32:50 time: 0.3993 data_time: 0.0167 memory: 17007 grad_norm: 7.0501 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1770 loss: 2.1770 2022/07/28 01:44:14 - mmengine - INFO - Epoch(train) [78][1220/3757] lr: 6.1248e-03 eta: 1 day, 18:32:42 time: 0.3948 data_time: 0.0149 memory: 17007 grad_norm: 7.0037 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9904 loss: 1.9904 2022/07/28 01:44:22 - mmengine - INFO - Epoch(train) [78][1240/3757] lr: 6.1248e-03 eta: 1 day, 18:32:35 time: 0.3966 data_time: 0.0168 memory: 17007 grad_norm: 6.6272 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0174 loss: 2.0174 2022/07/28 01:44:30 - mmengine - INFO - Epoch(train) [78][1260/3757] lr: 6.1248e-03 eta: 1 day, 18:32:26 time: 0.3923 data_time: 0.0144 memory: 17007 grad_norm: 6.8720 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7010 loss: 1.7010 2022/07/28 01:44:41 - mmengine - INFO - Epoch(train) [78][1280/3757] lr: 6.1248e-03 eta: 1 day, 18:32:23 time: 0.5683 data_time: 0.0153 memory: 17007 grad_norm: 6.9611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3149 loss: 2.3149 2022/07/28 01:44:51 - mmengine - INFO - Epoch(train) [78][1300/3757] lr: 6.1248e-03 eta: 1 day, 18:32:17 time: 0.4815 data_time: 0.0157 memory: 17007 grad_norm: 6.8856 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3498 loss: 2.3498 2022/07/28 01:44:59 - mmengine - INFO - Epoch(train) [78][1320/3757] lr: 6.1248e-03 eta: 1 day, 18:32:09 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 6.9812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0025 loss: 2.0025 2022/07/28 01:45:10 - mmengine - INFO - Epoch(train) [78][1340/3757] lr: 6.1248e-03 eta: 1 day, 18:32:05 time: 0.5344 data_time: 0.0166 memory: 17007 grad_norm: 6.8115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0741 loss: 2.0741 2022/07/28 01:45:18 - mmengine - INFO - Epoch(train) [78][1360/3757] lr: 6.1248e-03 eta: 1 day, 18:31:57 time: 0.3947 data_time: 0.0178 memory: 17007 grad_norm: 7.0308 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9226 loss: 1.9226 2022/07/28 01:45:26 - mmengine - INFO - Epoch(train) [78][1380/3757] lr: 6.1248e-03 eta: 1 day, 18:31:49 time: 0.3975 data_time: 0.0155 memory: 17007 grad_norm: 6.9884 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3148 loss: 2.3148 2022/07/28 01:45:33 - mmengine - INFO - Epoch(train) [78][1400/3757] lr: 6.1248e-03 eta: 1 day, 18:31:41 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 6.9613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2508 loss: 2.2508 2022/07/28 01:45:41 - mmengine - INFO - Epoch(train) [78][1420/3757] lr: 6.1248e-03 eta: 1 day, 18:31:33 time: 0.3916 data_time: 0.0125 memory: 17007 grad_norm: 6.8209 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2670 loss: 2.2670 2022/07/28 01:45:49 - mmengine - INFO - Epoch(train) [78][1440/3757] lr: 6.1248e-03 eta: 1 day, 18:31:25 time: 0.3942 data_time: 0.0162 memory: 17007 grad_norm: 6.6228 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0900 loss: 2.0900 2022/07/28 01:45:57 - mmengine - INFO - Epoch(train) [78][1460/3757] lr: 6.1248e-03 eta: 1 day, 18:31:17 time: 0.3927 data_time: 0.0134 memory: 17007 grad_norm: 6.9786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0233 loss: 2.0233 2022/07/28 01:46:05 - mmengine - INFO - Epoch(train) [78][1480/3757] lr: 6.1248e-03 eta: 1 day, 18:31:09 time: 0.3958 data_time: 0.0161 memory: 17007 grad_norm: 6.6931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0479 loss: 2.0479 2022/07/28 01:46:13 - mmengine - INFO - Epoch(train) [78][1500/3757] lr: 6.1248e-03 eta: 1 day, 18:31:01 time: 0.3925 data_time: 0.0125 memory: 17007 grad_norm: 6.8440 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9214 loss: 1.9214 2022/07/28 01:46:21 - mmengine - INFO - Epoch(train) [78][1520/3757] lr: 6.1248e-03 eta: 1 day, 18:30:53 time: 0.3949 data_time: 0.0165 memory: 17007 grad_norm: 7.0279 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9316 loss: 1.9316 2022/07/28 01:46:29 - mmengine - INFO - Epoch(train) [78][1540/3757] lr: 6.1248e-03 eta: 1 day, 18:30:45 time: 0.3954 data_time: 0.0137 memory: 17007 grad_norm: 6.8323 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8488 loss: 1.8488 2022/07/28 01:46:37 - mmengine - INFO - Epoch(train) [78][1560/3757] lr: 6.1248e-03 eta: 1 day, 18:30:37 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 6.5354 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9149 loss: 1.9149 2022/07/28 01:46:44 - mmengine - INFO - Epoch(train) [78][1580/3757] lr: 6.1248e-03 eta: 1 day, 18:30:29 time: 0.3949 data_time: 0.0133 memory: 17007 grad_norm: 6.7166 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2935 loss: 2.2935 2022/07/28 01:46:52 - mmengine - INFO - Epoch(train) [78][1600/3757] lr: 6.1248e-03 eta: 1 day, 18:30:21 time: 0.3936 data_time: 0.0160 memory: 17007 grad_norm: 6.7264 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0099 loss: 2.0099 2022/07/28 01:47:00 - mmengine - INFO - Epoch(train) [78][1620/3757] lr: 6.1248e-03 eta: 1 day, 18:30:13 time: 0.3919 data_time: 0.0131 memory: 17007 grad_norm: 6.7374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0814 loss: 2.0814 2022/07/28 01:47:08 - mmengine - INFO - Epoch(train) [78][1640/3757] lr: 6.1248e-03 eta: 1 day, 18:30:05 time: 0.3972 data_time: 0.0163 memory: 17007 grad_norm: 6.6111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9174 loss: 1.9174 2022/07/28 01:47:16 - mmengine - INFO - Epoch(train) [78][1660/3757] lr: 6.1248e-03 eta: 1 day, 18:29:57 time: 0.3928 data_time: 0.0132 memory: 17007 grad_norm: 6.6969 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9777 loss: 1.9777 2022/07/28 01:47:24 - mmengine - INFO - Epoch(train) [78][1680/3757] lr: 6.1248e-03 eta: 1 day, 18:29:49 time: 0.3961 data_time: 0.0163 memory: 17007 grad_norm: 6.8062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8075 loss: 1.8075 2022/07/28 01:47:32 - mmengine - INFO - Epoch(train) [78][1700/3757] lr: 6.1248e-03 eta: 1 day, 18:29:41 time: 0.3914 data_time: 0.0122 memory: 17007 grad_norm: 6.8310 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1657 loss: 2.1657 2022/07/28 01:47:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:47:40 - mmengine - INFO - Epoch(train) [78][1720/3757] lr: 6.1248e-03 eta: 1 day, 18:29:33 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 6.9120 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2151 loss: 2.2151 2022/07/28 01:47:48 - mmengine - INFO - Epoch(train) [78][1740/3757] lr: 6.1248e-03 eta: 1 day, 18:29:25 time: 0.3941 data_time: 0.0133 memory: 17007 grad_norm: 6.7355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8631 loss: 1.8631 2022/07/28 01:47:56 - mmengine - INFO - Epoch(train) [78][1760/3757] lr: 6.1248e-03 eta: 1 day, 18:29:17 time: 0.3974 data_time: 0.0155 memory: 17007 grad_norm: 6.9342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0548 loss: 2.0548 2022/07/28 01:48:03 - mmengine - INFO - Epoch(train) [78][1780/3757] lr: 6.1248e-03 eta: 1 day, 18:29:09 time: 0.3955 data_time: 0.0152 memory: 17007 grad_norm: 7.1216 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1313 loss: 2.1313 2022/07/28 01:48:11 - mmengine - INFO - Epoch(train) [78][1800/3757] lr: 6.1248e-03 eta: 1 day, 18:29:01 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 6.7515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0510 loss: 2.0510 2022/07/28 01:48:19 - mmengine - INFO - Epoch(train) [78][1820/3757] lr: 6.1248e-03 eta: 1 day, 18:28:53 time: 0.3963 data_time: 0.0127 memory: 17007 grad_norm: 6.7349 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0244 loss: 2.0244 2022/07/28 01:48:27 - mmengine - INFO - Epoch(train) [78][1840/3757] lr: 6.1248e-03 eta: 1 day, 18:28:45 time: 0.3961 data_time: 0.0166 memory: 17007 grad_norm: 6.7865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2261 loss: 2.2261 2022/07/28 01:48:35 - mmengine - INFO - Epoch(train) [78][1860/3757] lr: 6.1248e-03 eta: 1 day, 18:28:37 time: 0.3933 data_time: 0.0139 memory: 17007 grad_norm: 6.7556 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0046 loss: 2.0046 2022/07/28 01:48:43 - mmengine - INFO - Epoch(train) [78][1880/3757] lr: 6.1248e-03 eta: 1 day, 18:28:29 time: 0.3985 data_time: 0.0169 memory: 17007 grad_norm: 6.8101 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1434 loss: 2.1434 2022/07/28 01:48:51 - mmengine - INFO - Epoch(train) [78][1900/3757] lr: 6.1248e-03 eta: 1 day, 18:28:21 time: 0.3920 data_time: 0.0135 memory: 17007 grad_norm: 6.9368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2152 loss: 2.2152 2022/07/28 01:48:59 - mmengine - INFO - Epoch(train) [78][1920/3757] lr: 6.1248e-03 eta: 1 day, 18:28:13 time: 0.3953 data_time: 0.0155 memory: 17007 grad_norm: 7.0214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9938 loss: 1.9938 2022/07/28 01:49:07 - mmengine - INFO - Epoch(train) [78][1940/3757] lr: 6.1248e-03 eta: 1 day, 18:28:05 time: 0.3945 data_time: 0.0145 memory: 17007 grad_norm: 6.6907 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9979 loss: 1.9979 2022/07/28 01:49:15 - mmengine - INFO - Epoch(train) [78][1960/3757] lr: 6.1248e-03 eta: 1 day, 18:27:57 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 6.6511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0601 loss: 2.0601 2022/07/28 01:49:23 - mmengine - INFO - Epoch(train) [78][1980/3757] lr: 6.1248e-03 eta: 1 day, 18:27:49 time: 0.3972 data_time: 0.0147 memory: 17007 grad_norm: 7.1377 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2660 loss: 2.2660 2022/07/28 01:49:30 - mmengine - INFO - Epoch(train) [78][2000/3757] lr: 6.1248e-03 eta: 1 day, 18:27:41 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 6.9322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9825 loss: 1.9825 2022/07/28 01:49:38 - mmengine - INFO - Epoch(train) [78][2020/3757] lr: 6.1248e-03 eta: 1 day, 18:27:33 time: 0.3943 data_time: 0.0146 memory: 17007 grad_norm: 6.9030 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1272 loss: 2.1272 2022/07/28 01:49:46 - mmengine - INFO - Epoch(train) [78][2040/3757] lr: 6.1248e-03 eta: 1 day, 18:27:25 time: 0.3969 data_time: 0.0162 memory: 17007 grad_norm: 6.9584 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1944 loss: 2.1944 2022/07/28 01:49:54 - mmengine - INFO - Epoch(train) [78][2060/3757] lr: 6.1248e-03 eta: 1 day, 18:27:17 time: 0.3932 data_time: 0.0135 memory: 17007 grad_norm: 6.9891 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2614 loss: 2.2614 2022/07/28 01:50:02 - mmengine - INFO - Epoch(train) [78][2080/3757] lr: 6.1248e-03 eta: 1 day, 18:27:09 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 6.5982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8867 loss: 1.8867 2022/07/28 01:50:10 - mmengine - INFO - Epoch(train) [78][2100/3757] lr: 6.1248e-03 eta: 1 day, 18:27:01 time: 0.3938 data_time: 0.0140 memory: 17007 grad_norm: 6.7657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8303 loss: 1.8303 2022/07/28 01:50:18 - mmengine - INFO - Epoch(train) [78][2120/3757] lr: 6.1248e-03 eta: 1 day, 18:26:53 time: 0.3973 data_time: 0.0161 memory: 17007 grad_norm: 6.8685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1984 loss: 2.1984 2022/07/28 01:50:26 - mmengine - INFO - Epoch(train) [78][2140/3757] lr: 6.1248e-03 eta: 1 day, 18:26:45 time: 0.3936 data_time: 0.0136 memory: 17007 grad_norm: 6.8778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0855 loss: 2.0855 2022/07/28 01:50:34 - mmengine - INFO - Epoch(train) [78][2160/3757] lr: 6.1248e-03 eta: 1 day, 18:26:37 time: 0.4134 data_time: 0.0159 memory: 17007 grad_norm: 7.0749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8078 loss: 2.8078 2022/07/28 01:50:42 - mmengine - INFO - Epoch(train) [78][2180/3757] lr: 6.1248e-03 eta: 1 day, 18:26:29 time: 0.3931 data_time: 0.0130 memory: 17007 grad_norm: 6.9074 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2965 loss: 2.2965 2022/07/28 01:50:50 - mmengine - INFO - Epoch(train) [78][2200/3757] lr: 6.1248e-03 eta: 1 day, 18:26:21 time: 0.3952 data_time: 0.0161 memory: 17007 grad_norm: 6.8819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1506 loss: 2.1506 2022/07/28 01:50:58 - mmengine - INFO - Epoch(train) [78][2220/3757] lr: 6.1248e-03 eta: 1 day, 18:26:14 time: 0.4127 data_time: 0.0145 memory: 17007 grad_norm: 7.2302 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2551 loss: 2.2551 2022/07/28 01:51:06 - mmengine - INFO - Epoch(train) [78][2240/3757] lr: 6.1248e-03 eta: 1 day, 18:26:06 time: 0.3947 data_time: 0.0156 memory: 17007 grad_norm: 6.9927 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0595 loss: 2.0595 2022/07/28 01:51:14 - mmengine - INFO - Epoch(train) [78][2260/3757] lr: 6.1248e-03 eta: 1 day, 18:25:58 time: 0.3970 data_time: 0.0150 memory: 17007 grad_norm: 6.8220 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8424 loss: 1.8424 2022/07/28 01:51:22 - mmengine - INFO - Epoch(train) [78][2280/3757] lr: 6.1248e-03 eta: 1 day, 18:25:50 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 6.8279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1816 loss: 2.1816 2022/07/28 01:51:30 - mmengine - INFO - Epoch(train) [78][2300/3757] lr: 6.1248e-03 eta: 1 day, 18:25:42 time: 0.3959 data_time: 0.0124 memory: 17007 grad_norm: 6.9232 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2013 loss: 2.2013 2022/07/28 01:51:38 - mmengine - INFO - Epoch(train) [78][2320/3757] lr: 6.1248e-03 eta: 1 day, 18:25:34 time: 0.4124 data_time: 0.0172 memory: 17007 grad_norm: 6.7880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1369 loss: 2.1369 2022/07/28 01:51:46 - mmengine - INFO - Epoch(train) [78][2340/3757] lr: 6.1248e-03 eta: 1 day, 18:25:26 time: 0.3932 data_time: 0.0140 memory: 17007 grad_norm: 6.7187 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0925 loss: 2.0925 2022/07/28 01:51:54 - mmengine - INFO - Epoch(train) [78][2360/3757] lr: 6.1248e-03 eta: 1 day, 18:25:18 time: 0.3949 data_time: 0.0151 memory: 17007 grad_norm: 7.1068 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1798 loss: 2.1798 2022/07/28 01:52:02 - mmengine - INFO - Epoch(train) [78][2380/3757] lr: 6.1248e-03 eta: 1 day, 18:25:10 time: 0.3928 data_time: 0.0125 memory: 17007 grad_norm: 7.0966 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0772 loss: 2.0772 2022/07/28 01:52:10 - mmengine - INFO - Epoch(train) [78][2400/3757] lr: 6.1248e-03 eta: 1 day, 18:25:02 time: 0.3941 data_time: 0.0161 memory: 17007 grad_norm: 6.8203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0122 loss: 2.0122 2022/07/28 01:52:18 - mmengine - INFO - Epoch(train) [78][2420/3757] lr: 6.1248e-03 eta: 1 day, 18:24:54 time: 0.4011 data_time: 0.0150 memory: 17007 grad_norm: 6.7148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2134 loss: 2.2134 2022/07/28 01:52:25 - mmengine - INFO - Epoch(train) [78][2440/3757] lr: 6.1248e-03 eta: 1 day, 18:24:46 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 6.8493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9807 loss: 1.9807 2022/07/28 01:52:33 - mmengine - INFO - Epoch(train) [78][2460/3757] lr: 6.1248e-03 eta: 1 day, 18:24:38 time: 0.3969 data_time: 0.0149 memory: 17007 grad_norm: 6.8203 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0675 loss: 2.0675 2022/07/28 01:52:41 - mmengine - INFO - Epoch(train) [78][2480/3757] lr: 6.1248e-03 eta: 1 day, 18:24:30 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 7.1515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8564 loss: 1.8564 2022/07/28 01:52:49 - mmengine - INFO - Epoch(train) [78][2500/3757] lr: 6.1248e-03 eta: 1 day, 18:24:22 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.6171 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0273 loss: 2.0273 2022/07/28 01:52:57 - mmengine - INFO - Epoch(train) [78][2520/3757] lr: 6.1248e-03 eta: 1 day, 18:24:14 time: 0.3984 data_time: 0.0158 memory: 17007 grad_norm: 6.9932 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8749 loss: 1.8749 2022/07/28 01:53:05 - mmengine - INFO - Epoch(train) [78][2540/3757] lr: 6.1248e-03 eta: 1 day, 18:24:06 time: 0.3945 data_time: 0.0142 memory: 17007 grad_norm: 6.9159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9165 loss: 1.9165 2022/07/28 01:53:13 - mmengine - INFO - Epoch(train) [78][2560/3757] lr: 6.1248e-03 eta: 1 day, 18:23:58 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 6.8840 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1229 loss: 2.1229 2022/07/28 01:53:21 - mmengine - INFO - Epoch(train) [78][2580/3757] lr: 6.1248e-03 eta: 1 day, 18:23:50 time: 0.3941 data_time: 0.0130 memory: 17007 grad_norm: 7.1813 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0850 loss: 2.0850 2022/07/28 01:53:29 - mmengine - INFO - Epoch(train) [78][2600/3757] lr: 6.1248e-03 eta: 1 day, 18:23:42 time: 0.3960 data_time: 0.0156 memory: 17007 grad_norm: 7.1140 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2964 loss: 2.2964 2022/07/28 01:53:37 - mmengine - INFO - Epoch(train) [78][2620/3757] lr: 6.1248e-03 eta: 1 day, 18:23:34 time: 0.4003 data_time: 0.0152 memory: 17007 grad_norm: 6.9062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0855 loss: 2.0855 2022/07/28 01:53:45 - mmengine - INFO - Epoch(train) [78][2640/3757] lr: 6.1248e-03 eta: 1 day, 18:23:26 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 7.1984 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2580 loss: 2.2580 2022/07/28 01:53:53 - mmengine - INFO - Epoch(train) [78][2660/3757] lr: 6.1248e-03 eta: 1 day, 18:23:18 time: 0.3923 data_time: 0.0122 memory: 17007 grad_norm: 6.8765 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2875 loss: 2.2875 2022/07/28 01:54:00 - mmengine - INFO - Epoch(train) [78][2680/3757] lr: 6.1248e-03 eta: 1 day, 18:23:10 time: 0.3969 data_time: 0.0159 memory: 17007 grad_norm: 6.6385 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9960 loss: 1.9960 2022/07/28 01:54:08 - mmengine - INFO - Epoch(train) [78][2700/3757] lr: 6.1248e-03 eta: 1 day, 18:23:02 time: 0.3926 data_time: 0.0130 memory: 17007 grad_norm: 6.8500 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0258 loss: 2.0258 2022/07/28 01:54:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 01:54:16 - mmengine - INFO - Epoch(train) [78][2720/3757] lr: 6.1248e-03 eta: 1 day, 18:22:55 time: 0.4016 data_time: 0.0167 memory: 17007 grad_norm: 6.7740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1456 loss: 2.1456 2022/07/28 01:54:24 - mmengine - INFO - Epoch(train) [78][2740/3757] lr: 6.1248e-03 eta: 1 day, 18:22:46 time: 0.3929 data_time: 0.0123 memory: 17007 grad_norm: 6.8151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9560 loss: 1.9560 2022/07/28 01:54:32 - mmengine - INFO - Epoch(train) [78][2760/3757] lr: 6.1248e-03 eta: 1 day, 18:22:38 time: 0.3959 data_time: 0.0179 memory: 17007 grad_norm: 6.9870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2401 loss: 2.2401 2022/07/28 01:54:40 - mmengine - INFO - Epoch(train) [78][2780/3757] lr: 6.1248e-03 eta: 1 day, 18:22:31 time: 0.3994 data_time: 0.0127 memory: 17007 grad_norm: 6.9924 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1754 loss: 2.1754 2022/07/28 01:54:48 - mmengine - INFO - Epoch(train) [78][2800/3757] lr: 6.1248e-03 eta: 1 day, 18:22:23 time: 0.4027 data_time: 0.0165 memory: 17007 grad_norm: 6.7680 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1974 loss: 2.1974 2022/07/28 01:54:56 - mmengine - INFO - Epoch(train) [78][2820/3757] lr: 6.1248e-03 eta: 1 day, 18:22:15 time: 0.4106 data_time: 0.0154 memory: 17007 grad_norm: 6.9332 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1657 loss: 2.1657 2022/07/28 01:55:04 - mmengine - INFO - Epoch(train) [78][2840/3757] lr: 6.1248e-03 eta: 1 day, 18:22:07 time: 0.3953 data_time: 0.0162 memory: 17007 grad_norm: 6.7904 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0083 loss: 2.0083 2022/07/28 01:55:12 - mmengine - INFO - Epoch(train) [78][2860/3757] lr: 6.1248e-03 eta: 1 day, 18:21:59 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 6.8651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9598 loss: 1.9598 2022/07/28 01:55:20 - mmengine - INFO - Epoch(train) [78][2880/3757] lr: 6.1248e-03 eta: 1 day, 18:21:51 time: 0.3955 data_time: 0.0156 memory: 17007 grad_norm: 7.1029 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1834 loss: 2.1834 2022/07/28 01:55:28 - mmengine - INFO - Epoch(train) [78][2900/3757] lr: 6.1248e-03 eta: 1 day, 18:21:43 time: 0.3955 data_time: 0.0137 memory: 17007 grad_norm: 6.7538 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1392 loss: 2.1392 2022/07/28 01:55:36 - mmengine - INFO - Epoch(train) [78][2920/3757] lr: 6.1248e-03 eta: 1 day, 18:21:35 time: 0.4027 data_time: 0.0190 memory: 17007 grad_norm: 6.9913 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3922 loss: 2.3922 2022/07/28 01:55:44 - mmengine - INFO - Epoch(train) [78][2940/3757] lr: 6.1248e-03 eta: 1 day, 18:21:27 time: 0.3945 data_time: 0.0128 memory: 17007 grad_norm: 6.6201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9511 loss: 1.9511 2022/07/28 01:55:52 - mmengine - INFO - Epoch(train) [78][2960/3757] lr: 6.1248e-03 eta: 1 day, 18:21:19 time: 0.3951 data_time: 0.0166 memory: 17007 grad_norm: 6.9493 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1187 loss: 2.1187 2022/07/28 01:56:00 - mmengine - INFO - Epoch(train) [78][2980/3757] lr: 6.1248e-03 eta: 1 day, 18:21:11 time: 0.3929 data_time: 0.0131 memory: 17007 grad_norm: 6.9935 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1042 loss: 2.1042 2022/07/28 01:56:08 - mmengine - INFO - Epoch(train) [78][3000/3757] lr: 6.1248e-03 eta: 1 day, 18:21:03 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 6.8779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9768 loss: 1.9768 2022/07/28 01:56:16 - mmengine - INFO - Epoch(train) [78][3020/3757] lr: 6.1248e-03 eta: 1 day, 18:20:55 time: 0.3959 data_time: 0.0135 memory: 17007 grad_norm: 6.8702 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0054 loss: 2.0054 2022/07/28 01:56:24 - mmengine - INFO - Epoch(train) [78][3040/3757] lr: 6.1248e-03 eta: 1 day, 18:20:48 time: 0.4019 data_time: 0.0160 memory: 17007 grad_norm: 7.1554 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2548 loss: 2.2548 2022/07/28 01:56:32 - mmengine - INFO - Epoch(train) [78][3060/3757] lr: 6.1248e-03 eta: 1 day, 18:20:40 time: 0.3938 data_time: 0.0135 memory: 17007 grad_norm: 6.8079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2742 loss: 2.2742 2022/07/28 01:56:39 - mmengine - INFO - Epoch(train) [78][3080/3757] lr: 6.1248e-03 eta: 1 day, 18:20:32 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.0484 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9361 loss: 1.9361 2022/07/28 01:56:47 - mmengine - INFO - Epoch(train) [78][3100/3757] lr: 6.1248e-03 eta: 1 day, 18:20:24 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 6.8578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9493 loss: 1.9493 2022/07/28 01:56:55 - mmengine - INFO - Epoch(train) [78][3120/3757] lr: 6.1248e-03 eta: 1 day, 18:20:16 time: 0.3980 data_time: 0.0165 memory: 17007 grad_norm: 6.9900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2796 loss: 2.2796 2022/07/28 01:57:03 - mmengine - INFO - Epoch(train) [78][3140/3757] lr: 6.1248e-03 eta: 1 day, 18:20:08 time: 0.3927 data_time: 0.0141 memory: 17007 grad_norm: 6.9774 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0857 loss: 2.0857 2022/07/28 01:57:11 - mmengine - INFO - Epoch(train) [78][3160/3757] lr: 6.1248e-03 eta: 1 day, 18:20:00 time: 0.3962 data_time: 0.0174 memory: 17007 grad_norm: 6.8545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0933 loss: 2.0933 2022/07/28 01:57:19 - mmengine - INFO - Epoch(train) [78][3180/3757] lr: 6.1248e-03 eta: 1 day, 18:19:52 time: 0.4131 data_time: 0.0149 memory: 17007 grad_norm: 6.9900 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0268 loss: 2.0268 2022/07/28 01:57:28 - mmengine - INFO - Epoch(train) [78][3200/3757] lr: 6.1248e-03 eta: 1 day, 18:19:44 time: 0.4037 data_time: 0.0172 memory: 17007 grad_norm: 6.9972 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5340 loss: 2.5340 2022/07/28 01:57:35 - mmengine - INFO - Epoch(train) [78][3220/3757] lr: 6.1248e-03 eta: 1 day, 18:19:36 time: 0.3931 data_time: 0.0141 memory: 17007 grad_norm: 6.6589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1309 loss: 2.1309 2022/07/28 01:57:43 - mmengine - INFO - Epoch(train) [78][3240/3757] lr: 6.1248e-03 eta: 1 day, 18:19:28 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 6.7392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9954 loss: 1.9954 2022/07/28 01:57:51 - mmengine - INFO - Epoch(train) [78][3260/3757] lr: 6.1248e-03 eta: 1 day, 18:19:20 time: 0.3925 data_time: 0.0133 memory: 17007 grad_norm: 6.8287 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1893 loss: 2.1893 2022/07/28 01:57:59 - mmengine - INFO - Epoch(train) [78][3280/3757] lr: 6.1248e-03 eta: 1 day, 18:19:12 time: 0.3990 data_time: 0.0153 memory: 17007 grad_norm: 6.6061 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9597 loss: 1.9597 2022/07/28 01:58:07 - mmengine - INFO - Epoch(train) [78][3300/3757] lr: 6.1248e-03 eta: 1 day, 18:19:04 time: 0.3921 data_time: 0.0136 memory: 17007 grad_norm: 6.8554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3286 loss: 2.3286 2022/07/28 01:58:15 - mmengine - INFO - Epoch(train) [78][3320/3757] lr: 6.1248e-03 eta: 1 day, 18:18:56 time: 0.3966 data_time: 0.0163 memory: 17007 grad_norm: 6.6101 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9609 loss: 1.9609 2022/07/28 01:58:23 - mmengine - INFO - Epoch(train) [78][3340/3757] lr: 6.1248e-03 eta: 1 day, 18:18:48 time: 0.3930 data_time: 0.0146 memory: 17007 grad_norm: 6.9947 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3048 loss: 2.3048 2022/07/28 01:58:31 - mmengine - INFO - Epoch(train) [78][3360/3757] lr: 6.1248e-03 eta: 1 day, 18:18:40 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 7.0816 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2405 loss: 2.2405 2022/07/28 01:58:39 - mmengine - INFO - Epoch(train) [78][3380/3757] lr: 6.1248e-03 eta: 1 day, 18:18:32 time: 0.3997 data_time: 0.0173 memory: 17007 grad_norm: 6.8276 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9801 loss: 1.9801 2022/07/28 01:58:47 - mmengine - INFO - Epoch(train) [78][3400/3757] lr: 6.1248e-03 eta: 1 day, 18:18:24 time: 0.3946 data_time: 0.0152 memory: 17007 grad_norm: 6.8408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8177 loss: 1.8177 2022/07/28 01:58:54 - mmengine - INFO - Epoch(train) [78][3420/3757] lr: 6.1248e-03 eta: 1 day, 18:18:16 time: 0.3940 data_time: 0.0165 memory: 17007 grad_norm: 7.3001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1636 loss: 2.1636 2022/07/28 01:59:02 - mmengine - INFO - Epoch(train) [78][3440/3757] lr: 6.1248e-03 eta: 1 day, 18:18:08 time: 0.3925 data_time: 0.0142 memory: 17007 grad_norm: 7.2318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2411 loss: 2.2411 2022/07/28 01:59:10 - mmengine - INFO - Epoch(train) [78][3460/3757] lr: 6.1248e-03 eta: 1 day, 18:18:00 time: 0.3926 data_time: 0.0133 memory: 17007 grad_norm: 6.7165 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0528 loss: 2.0528 2022/07/28 01:59:18 - mmengine - INFO - Epoch(train) [78][3480/3757] lr: 6.1248e-03 eta: 1 day, 18:17:52 time: 0.4007 data_time: 0.0157 memory: 17007 grad_norm: 6.9753 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3264 loss: 2.3264 2022/07/28 01:59:26 - mmengine - INFO - Epoch(train) [78][3500/3757] lr: 6.1248e-03 eta: 1 day, 18:17:44 time: 0.3926 data_time: 0.0142 memory: 17007 grad_norm: 6.7327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9330 loss: 1.9330 2022/07/28 01:59:34 - mmengine - INFO - Epoch(train) [78][3520/3757] lr: 6.1248e-03 eta: 1 day, 18:17:36 time: 0.3992 data_time: 0.0174 memory: 17007 grad_norm: 7.0252 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6115 loss: 2.6115 2022/07/28 01:59:42 - mmengine - INFO - Epoch(train) [78][3540/3757] lr: 6.1248e-03 eta: 1 day, 18:17:28 time: 0.3925 data_time: 0.0126 memory: 17007 grad_norm: 6.6857 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0328 loss: 2.0328 2022/07/28 01:59:50 - mmengine - INFO - Epoch(train) [78][3560/3757] lr: 6.1248e-03 eta: 1 day, 18:17:20 time: 0.3959 data_time: 0.0150 memory: 17007 grad_norm: 6.6636 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2100 loss: 2.2100 2022/07/28 01:59:58 - mmengine - INFO - Epoch(train) [78][3580/3757] lr: 6.1248e-03 eta: 1 day, 18:17:12 time: 0.3927 data_time: 0.0141 memory: 17007 grad_norm: 6.8787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9621 loss: 1.9621 2022/07/28 02:00:08 - mmengine - INFO - Epoch(train) [78][3600/3757] lr: 6.1248e-03 eta: 1 day, 18:17:07 time: 0.4895 data_time: 0.0172 memory: 17007 grad_norm: 6.9803 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1692 loss: 2.1692 2022/07/28 02:00:15 - mmengine - INFO - Epoch(train) [78][3620/3757] lr: 6.1248e-03 eta: 1 day, 18:16:59 time: 0.3945 data_time: 0.0146 memory: 17007 grad_norm: 6.8669 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2435 loss: 2.2435 2022/07/28 02:00:23 - mmengine - INFO - Epoch(train) [78][3640/3757] lr: 6.1248e-03 eta: 1 day, 18:16:51 time: 0.3955 data_time: 0.0150 memory: 17007 grad_norm: 6.7876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3255 loss: 2.3255 2022/07/28 02:00:32 - mmengine - INFO - Epoch(train) [78][3660/3757] lr: 6.1248e-03 eta: 1 day, 18:16:43 time: 0.4128 data_time: 0.0128 memory: 17007 grad_norm: 7.3410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0111 loss: 2.0111 2022/07/28 02:00:40 - mmengine - INFO - Epoch(train) [78][3680/3757] lr: 6.1248e-03 eta: 1 day, 18:16:35 time: 0.3962 data_time: 0.0167 memory: 17007 grad_norm: 6.9203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9159 loss: 1.9159 2022/07/28 02:00:47 - mmengine - INFO - Epoch(train) [78][3700/3757] lr: 6.1248e-03 eta: 1 day, 18:16:27 time: 0.3963 data_time: 0.0129 memory: 17007 grad_norm: 6.7227 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1043 loss: 2.1043 2022/07/28 02:00:52 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:00:55 - mmengine - INFO - Epoch(train) [78][3720/3757] lr: 6.1248e-03 eta: 1 day, 18:16:19 time: 0.3967 data_time: 0.0182 memory: 17007 grad_norm: 7.2663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2134 loss: 2.2134 2022/07/28 02:01:03 - mmengine - INFO - Epoch(train) [78][3740/3757] lr: 6.1248e-03 eta: 1 day, 18:16:11 time: 0.3931 data_time: 0.0135 memory: 17007 grad_norm: 7.0668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9674 loss: 1.9674 2022/07/28 02:01:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:01:10 - mmengine - INFO - Epoch(train) [78][3757/3757] lr: 6.1248e-03 eta: 1 day, 18:16:11 time: 0.3894 data_time: 0.0165 memory: 17007 grad_norm: 6.8618 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.0537 loss: 2.0537 2022/07/28 02:01:10 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/07/28 02:01:21 - mmengine - INFO - Epoch(train) [79][20/3757] lr: 6.0396e-03 eta: 1 day, 18:15:50 time: 0.4609 data_time: 0.0814 memory: 17007 grad_norm: 6.7970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8372 loss: 1.8372 2022/07/28 02:01:30 - mmengine - INFO - Epoch(train) [79][40/3757] lr: 6.0396e-03 eta: 1 day, 18:15:42 time: 0.4067 data_time: 0.0169 memory: 17007 grad_norm: 7.0046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1571 loss: 2.1571 2022/07/28 02:01:37 - mmengine - INFO - Epoch(train) [79][60/3757] lr: 6.0396e-03 eta: 1 day, 18:15:34 time: 0.3932 data_time: 0.0144 memory: 17007 grad_norm: 6.7007 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1106 loss: 2.1106 2022/07/28 02:01:45 - mmengine - INFO - Epoch(train) [79][80/3757] lr: 6.0396e-03 eta: 1 day, 18:15:26 time: 0.3981 data_time: 0.0164 memory: 17007 grad_norm: 6.9870 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0903 loss: 2.0903 2022/07/28 02:01:53 - mmengine - INFO - Epoch(train) [79][100/3757] lr: 6.0396e-03 eta: 1 day, 18:15:18 time: 0.3932 data_time: 0.0152 memory: 17007 grad_norm: 7.1669 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2940 loss: 2.2940 2022/07/28 02:02:01 - mmengine - INFO - Epoch(train) [79][120/3757] lr: 6.0396e-03 eta: 1 day, 18:15:10 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.8995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2412 loss: 2.2412 2022/07/28 02:02:09 - mmengine - INFO - Epoch(train) [79][140/3757] lr: 6.0396e-03 eta: 1 day, 18:15:02 time: 0.4010 data_time: 0.0143 memory: 17007 grad_norm: 7.1216 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9818 loss: 1.9818 2022/07/28 02:02:17 - mmengine - INFO - Epoch(train) [79][160/3757] lr: 6.0396e-03 eta: 1 day, 18:14:54 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 6.8298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8715 loss: 1.8715 2022/07/28 02:02:25 - mmengine - INFO - Epoch(train) [79][180/3757] lr: 6.0396e-03 eta: 1 day, 18:14:46 time: 0.3986 data_time: 0.0157 memory: 17007 grad_norm: 6.9736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9977 loss: 1.9977 2022/07/28 02:02:33 - mmengine - INFO - Epoch(train) [79][200/3757] lr: 6.0396e-03 eta: 1 day, 18:14:38 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 7.3293 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3726 loss: 2.3726 2022/07/28 02:02:41 - mmengine - INFO - Epoch(train) [79][220/3757] lr: 6.0396e-03 eta: 1 day, 18:14:30 time: 0.3943 data_time: 0.0140 memory: 17007 grad_norm: 6.7125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9442 loss: 1.9442 2022/07/28 02:02:50 - mmengine - INFO - Epoch(train) [79][240/3757] lr: 6.0396e-03 eta: 1 day, 18:14:24 time: 0.4532 data_time: 0.0151 memory: 17007 grad_norm: 6.7647 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2334 loss: 2.2334 2022/07/28 02:03:07 - mmengine - INFO - Epoch(train) [79][260/3757] lr: 6.0396e-03 eta: 1 day, 18:14:27 time: 0.8491 data_time: 0.1122 memory: 17007 grad_norm: 6.7230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8997 loss: 1.8997 2022/07/28 02:03:18 - mmengine - INFO - Epoch(train) [79][280/3757] lr: 6.0396e-03 eta: 1 day, 18:14:23 time: 0.5342 data_time: 0.0183 memory: 17007 grad_norm: 6.9988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0685 loss: 2.0685 2022/07/28 02:03:31 - mmengine - INFO - Epoch(train) [79][300/3757] lr: 6.0396e-03 eta: 1 day, 18:14:23 time: 0.6851 data_time: 0.0166 memory: 17007 grad_norm: 6.8797 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0373 loss: 2.0373 2022/07/28 02:03:39 - mmengine - INFO - Epoch(train) [79][320/3757] lr: 6.0396e-03 eta: 1 day, 18:14:15 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 6.7729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9348 loss: 1.9348 2022/07/28 02:03:47 - mmengine - INFO - Epoch(train) [79][340/3757] lr: 6.0396e-03 eta: 1 day, 18:14:07 time: 0.3936 data_time: 0.0129 memory: 17007 grad_norm: 7.0575 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1267 loss: 2.1267 2022/07/28 02:03:55 - mmengine - INFO - Epoch(train) [79][360/3757] lr: 6.0396e-03 eta: 1 day, 18:13:58 time: 0.3939 data_time: 0.0153 memory: 17007 grad_norm: 6.6458 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3269 loss: 2.3269 2022/07/28 02:04:03 - mmengine - INFO - Epoch(train) [79][380/3757] lr: 6.0396e-03 eta: 1 day, 18:13:50 time: 0.3923 data_time: 0.0125 memory: 17007 grad_norm: 6.6533 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2817 loss: 2.2817 2022/07/28 02:04:11 - mmengine - INFO - Epoch(train) [79][400/3757] lr: 6.0396e-03 eta: 1 day, 18:13:43 time: 0.4000 data_time: 0.0168 memory: 17007 grad_norm: 7.0554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9238 loss: 1.9238 2022/07/28 02:04:19 - mmengine - INFO - Epoch(train) [79][420/3757] lr: 6.0396e-03 eta: 1 day, 18:13:34 time: 0.3927 data_time: 0.0132 memory: 17007 grad_norm: 6.7375 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0803 loss: 2.0803 2022/07/28 02:04:27 - mmengine - INFO - Epoch(train) [79][440/3757] lr: 6.0396e-03 eta: 1 day, 18:13:26 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 6.7757 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8971 loss: 1.8971 2022/07/28 02:04:34 - mmengine - INFO - Epoch(train) [79][460/3757] lr: 6.0396e-03 eta: 1 day, 18:13:18 time: 0.3919 data_time: 0.0137 memory: 17007 grad_norm: 6.8744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3153 loss: 2.3153 2022/07/28 02:04:42 - mmengine - INFO - Epoch(train) [79][480/3757] lr: 6.0396e-03 eta: 1 day, 18:13:10 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 6.8463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0757 loss: 2.0757 2022/07/28 02:04:50 - mmengine - INFO - Epoch(train) [79][500/3757] lr: 6.0396e-03 eta: 1 day, 18:13:02 time: 0.3947 data_time: 0.0145 memory: 17007 grad_norm: 6.9375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3612 loss: 2.3612 2022/07/28 02:04:58 - mmengine - INFO - Epoch(train) [79][520/3757] lr: 6.0396e-03 eta: 1 day, 18:12:54 time: 0.3950 data_time: 0.0160 memory: 17007 grad_norm: 6.7775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4855 loss: 2.4855 2022/07/28 02:05:06 - mmengine - INFO - Epoch(train) [79][540/3757] lr: 6.0396e-03 eta: 1 day, 18:12:46 time: 0.3920 data_time: 0.0132 memory: 17007 grad_norm: 6.7645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8336 loss: 1.8336 2022/07/28 02:05:14 - mmengine - INFO - Epoch(train) [79][560/3757] lr: 6.0396e-03 eta: 1 day, 18:12:38 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 7.1021 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1477 loss: 2.1477 2022/07/28 02:05:22 - mmengine - INFO - Epoch(train) [79][580/3757] lr: 6.0396e-03 eta: 1 day, 18:12:30 time: 0.3939 data_time: 0.0129 memory: 17007 grad_norm: 6.8811 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5014 loss: 2.5014 2022/07/28 02:05:30 - mmengine - INFO - Epoch(train) [79][600/3757] lr: 6.0396e-03 eta: 1 day, 18:12:22 time: 0.3971 data_time: 0.0161 memory: 17007 grad_norm: 6.7289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7102 loss: 1.7102 2022/07/28 02:05:38 - mmengine - INFO - Epoch(train) [79][620/3757] lr: 6.0396e-03 eta: 1 day, 18:12:14 time: 0.3935 data_time: 0.0138 memory: 17007 grad_norm: 6.8132 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9143 loss: 1.9143 2022/07/28 02:05:46 - mmengine - INFO - Epoch(train) [79][640/3757] lr: 6.0396e-03 eta: 1 day, 18:12:06 time: 0.3972 data_time: 0.0168 memory: 17007 grad_norm: 6.6996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9079 loss: 1.9079 2022/07/28 02:05:53 - mmengine - INFO - Epoch(train) [79][660/3757] lr: 6.0396e-03 eta: 1 day, 18:11:58 time: 0.3933 data_time: 0.0145 memory: 17007 grad_norm: 6.9088 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9590 loss: 1.9590 2022/07/28 02:06:01 - mmengine - INFO - Epoch(train) [79][680/3757] lr: 6.0396e-03 eta: 1 day, 18:11:50 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 6.8585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1224 loss: 2.1224 2022/07/28 02:06:09 - mmengine - INFO - Epoch(train) [79][700/3757] lr: 6.0396e-03 eta: 1 day, 18:11:42 time: 0.3988 data_time: 0.0145 memory: 17007 grad_norm: 6.6432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0508 loss: 2.0508 2022/07/28 02:06:17 - mmengine - INFO - Epoch(train) [79][720/3757] lr: 6.0396e-03 eta: 1 day, 18:11:34 time: 0.3949 data_time: 0.0149 memory: 17007 grad_norm: 7.1148 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1003 loss: 2.1003 2022/07/28 02:06:25 - mmengine - INFO - Epoch(train) [79][740/3757] lr: 6.0396e-03 eta: 1 day, 18:11:26 time: 0.3911 data_time: 0.0132 memory: 17007 grad_norm: 6.6808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0738 loss: 2.0738 2022/07/28 02:06:33 - mmengine - INFO - Epoch(train) [79][760/3757] lr: 6.0396e-03 eta: 1 day, 18:11:18 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 6.9269 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1411 loss: 2.1411 2022/07/28 02:06:41 - mmengine - INFO - Epoch(train) [79][780/3757] lr: 6.0396e-03 eta: 1 day, 18:11:10 time: 0.3944 data_time: 0.0140 memory: 17007 grad_norm: 6.9601 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0510 loss: 2.0510 2022/07/28 02:06:49 - mmengine - INFO - Epoch(train) [79][800/3757] lr: 6.0396e-03 eta: 1 day, 18:11:02 time: 0.3984 data_time: 0.0160 memory: 17007 grad_norm: 7.2223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2038 loss: 2.2038 2022/07/28 02:06:57 - mmengine - INFO - Epoch(train) [79][820/3757] lr: 6.0396e-03 eta: 1 day, 18:10:54 time: 0.3956 data_time: 0.0143 memory: 17007 grad_norm: 6.7613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0112 loss: 2.0112 2022/07/28 02:07:05 - mmengine - INFO - Epoch(train) [79][840/3757] lr: 6.0396e-03 eta: 1 day, 18:10:46 time: 0.3979 data_time: 0.0162 memory: 17007 grad_norm: 6.5887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0244 loss: 2.0244 2022/07/28 02:07:12 - mmengine - INFO - Epoch(train) [79][860/3757] lr: 6.0396e-03 eta: 1 day, 18:10:38 time: 0.3916 data_time: 0.0120 memory: 17007 grad_norm: 6.9111 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7706 loss: 1.7706 2022/07/28 02:07:20 - mmengine - INFO - Epoch(train) [79][880/3757] lr: 6.0396e-03 eta: 1 day, 18:10:30 time: 0.3937 data_time: 0.0163 memory: 17007 grad_norm: 6.9987 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2515 loss: 2.2515 2022/07/28 02:07:28 - mmengine - INFO - Epoch(train) [79][900/3757] lr: 6.0396e-03 eta: 1 day, 18:10:22 time: 0.3958 data_time: 0.0122 memory: 17007 grad_norm: 6.7042 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6960 loss: 1.6960 2022/07/28 02:07:36 - mmengine - INFO - Epoch(train) [79][920/3757] lr: 6.0396e-03 eta: 1 day, 18:10:14 time: 0.3978 data_time: 0.0162 memory: 17007 grad_norm: 6.9635 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0730 loss: 2.0730 2022/07/28 02:07:44 - mmengine - INFO - Epoch(train) [79][940/3757] lr: 6.0396e-03 eta: 1 day, 18:10:06 time: 0.3921 data_time: 0.0130 memory: 17007 grad_norm: 6.9182 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2819 loss: 2.2819 2022/07/28 02:07:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:07:52 - mmengine - INFO - Epoch(train) [79][960/3757] lr: 6.0396e-03 eta: 1 day, 18:09:58 time: 0.3980 data_time: 0.0152 memory: 17007 grad_norm: 6.8760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4856 loss: 2.4856 2022/07/28 02:08:00 - mmengine - INFO - Epoch(train) [79][980/3757] lr: 6.0396e-03 eta: 1 day, 18:09:50 time: 0.3970 data_time: 0.0144 memory: 17007 grad_norm: 6.9296 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1673 loss: 2.1673 2022/07/28 02:08:08 - mmengine - INFO - Epoch(train) [79][1000/3757] lr: 6.0396e-03 eta: 1 day, 18:09:43 time: 0.4055 data_time: 0.0165 memory: 17007 grad_norm: 6.7529 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1899 loss: 2.1899 2022/07/28 02:08:16 - mmengine - INFO - Epoch(train) [79][1020/3757] lr: 6.0396e-03 eta: 1 day, 18:09:35 time: 0.3975 data_time: 0.0130 memory: 17007 grad_norm: 7.0970 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3276 loss: 2.3276 2022/07/28 02:08:24 - mmengine - INFO - Epoch(train) [79][1040/3757] lr: 6.0396e-03 eta: 1 day, 18:09:27 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 6.9755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0316 loss: 2.0316 2022/07/28 02:08:32 - mmengine - INFO - Epoch(train) [79][1060/3757] lr: 6.0396e-03 eta: 1 day, 18:09:19 time: 0.3979 data_time: 0.0127 memory: 17007 grad_norm: 6.7963 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7488 loss: 1.7488 2022/07/28 02:08:40 - mmengine - INFO - Epoch(train) [79][1080/3757] lr: 6.0396e-03 eta: 1 day, 18:09:11 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 6.7937 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9311 loss: 1.9311 2022/07/28 02:08:48 - mmengine - INFO - Epoch(train) [79][1100/3757] lr: 6.0396e-03 eta: 1 day, 18:09:03 time: 0.3977 data_time: 0.0145 memory: 17007 grad_norm: 7.0511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4440 loss: 2.4440 2022/07/28 02:08:56 - mmengine - INFO - Epoch(train) [79][1120/3757] lr: 6.0396e-03 eta: 1 day, 18:08:55 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 6.9899 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2583 loss: 2.2583 2022/07/28 02:09:04 - mmengine - INFO - Epoch(train) [79][1140/3757] lr: 6.0396e-03 eta: 1 day, 18:08:47 time: 0.3939 data_time: 0.0129 memory: 17007 grad_norm: 7.1248 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9615 loss: 1.9615 2022/07/28 02:09:12 - mmengine - INFO - Epoch(train) [79][1160/3757] lr: 6.0396e-03 eta: 1 day, 18:08:39 time: 0.3968 data_time: 0.0160 memory: 17007 grad_norm: 7.0486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0290 loss: 2.0290 2022/07/28 02:09:19 - mmengine - INFO - Epoch(train) [79][1180/3757] lr: 6.0396e-03 eta: 1 day, 18:08:31 time: 0.3935 data_time: 0.0126 memory: 17007 grad_norm: 6.7705 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1573 loss: 2.1573 2022/07/28 02:09:27 - mmengine - INFO - Epoch(train) [79][1200/3757] lr: 6.0396e-03 eta: 1 day, 18:08:23 time: 0.3988 data_time: 0.0170 memory: 17007 grad_norm: 6.8459 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0810 loss: 2.0810 2022/07/28 02:09:35 - mmengine - INFO - Epoch(train) [79][1220/3757] lr: 6.0396e-03 eta: 1 day, 18:08:15 time: 0.3948 data_time: 0.0146 memory: 17007 grad_norm: 6.7847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2763 loss: 2.2763 2022/07/28 02:09:43 - mmengine - INFO - Epoch(train) [79][1240/3757] lr: 6.0396e-03 eta: 1 day, 18:08:07 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 6.8959 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8784 loss: 1.8784 2022/07/28 02:09:51 - mmengine - INFO - Epoch(train) [79][1260/3757] lr: 6.0396e-03 eta: 1 day, 18:07:59 time: 0.4006 data_time: 0.0130 memory: 17007 grad_norm: 6.7417 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1523 loss: 2.1523 2022/07/28 02:09:59 - mmengine - INFO - Epoch(train) [79][1280/3757] lr: 6.0396e-03 eta: 1 day, 18:07:51 time: 0.3968 data_time: 0.0174 memory: 17007 grad_norm: 6.9278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3520 loss: 2.3520 2022/07/28 02:10:07 - mmengine - INFO - Epoch(train) [79][1300/3757] lr: 6.0396e-03 eta: 1 day, 18:07:43 time: 0.3992 data_time: 0.0127 memory: 17007 grad_norm: 6.9758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2249 loss: 2.2249 2022/07/28 02:10:15 - mmengine - INFO - Epoch(train) [79][1320/3757] lr: 6.0396e-03 eta: 1 day, 18:07:35 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 6.7096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7763 loss: 1.7763 2022/07/28 02:10:23 - mmengine - INFO - Epoch(train) [79][1340/3757] lr: 6.0396e-03 eta: 1 day, 18:07:27 time: 0.3928 data_time: 0.0132 memory: 17007 grad_norm: 6.9797 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1320 loss: 2.1320 2022/07/28 02:10:31 - mmengine - INFO - Epoch(train) [79][1360/3757] lr: 6.0396e-03 eta: 1 day, 18:07:19 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 6.8462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0268 loss: 2.0268 2022/07/28 02:10:39 - mmengine - INFO - Epoch(train) [79][1380/3757] lr: 6.0396e-03 eta: 1 day, 18:07:12 time: 0.4148 data_time: 0.0151 memory: 17007 grad_norm: 6.8212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9326 loss: 1.9326 2022/07/28 02:10:47 - mmengine - INFO - Epoch(train) [79][1400/3757] lr: 6.0396e-03 eta: 1 day, 18:07:04 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 6.8327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3997 loss: 2.3997 2022/07/28 02:10:55 - mmengine - INFO - Epoch(train) [79][1420/3757] lr: 6.0396e-03 eta: 1 day, 18:06:56 time: 0.4031 data_time: 0.0141 memory: 17007 grad_norm: 6.9935 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1786 loss: 2.1786 2022/07/28 02:11:03 - mmengine - INFO - Epoch(train) [79][1440/3757] lr: 6.0396e-03 eta: 1 day, 18:06:48 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 6.9292 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0571 loss: 2.0571 2022/07/28 02:11:11 - mmengine - INFO - Epoch(train) [79][1460/3757] lr: 6.0396e-03 eta: 1 day, 18:06:40 time: 0.3926 data_time: 0.0127 memory: 17007 grad_norm: 6.7876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0927 loss: 2.0927 2022/07/28 02:11:19 - mmengine - INFO - Epoch(train) [79][1480/3757] lr: 6.0396e-03 eta: 1 day, 18:06:32 time: 0.3977 data_time: 0.0161 memory: 17007 grad_norm: 7.0882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0171 loss: 2.0171 2022/07/28 02:11:27 - mmengine - INFO - Epoch(train) [79][1500/3757] lr: 6.0396e-03 eta: 1 day, 18:06:24 time: 0.3983 data_time: 0.0132 memory: 17007 grad_norm: 7.1909 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1220 loss: 2.1220 2022/07/28 02:11:35 - mmengine - INFO - Epoch(train) [79][1520/3757] lr: 6.0396e-03 eta: 1 day, 18:06:16 time: 0.3949 data_time: 0.0149 memory: 17007 grad_norm: 6.8762 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2691 loss: 2.2691 2022/07/28 02:11:43 - mmengine - INFO - Epoch(train) [79][1540/3757] lr: 6.0396e-03 eta: 1 day, 18:06:08 time: 0.3917 data_time: 0.0125 memory: 17007 grad_norm: 6.6255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9851 loss: 1.9851 2022/07/28 02:11:50 - mmengine - INFO - Epoch(train) [79][1560/3757] lr: 6.0396e-03 eta: 1 day, 18:06:00 time: 0.3935 data_time: 0.0146 memory: 17007 grad_norm: 6.8225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9233 loss: 1.9233 2022/07/28 02:11:58 - mmengine - INFO - Epoch(train) [79][1580/3757] lr: 6.0396e-03 eta: 1 day, 18:05:52 time: 0.3966 data_time: 0.0160 memory: 17007 grad_norm: 7.0426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9350 loss: 1.9350 2022/07/28 02:12:06 - mmengine - INFO - Epoch(train) [79][1600/3757] lr: 6.0396e-03 eta: 1 day, 18:05:44 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 6.8929 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6749 loss: 1.6749 2022/07/28 02:12:14 - mmengine - INFO - Epoch(train) [79][1620/3757] lr: 6.0396e-03 eta: 1 day, 18:05:36 time: 0.3923 data_time: 0.0134 memory: 17007 grad_norm: 6.9600 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0094 loss: 2.0094 2022/07/28 02:12:22 - mmengine - INFO - Epoch(train) [79][1640/3757] lr: 6.0396e-03 eta: 1 day, 18:05:28 time: 0.3973 data_time: 0.0164 memory: 17007 grad_norm: 7.1958 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1819 loss: 2.1819 2022/07/28 02:12:30 - mmengine - INFO - Epoch(train) [79][1660/3757] lr: 6.0396e-03 eta: 1 day, 18:05:20 time: 0.3915 data_time: 0.0125 memory: 17007 grad_norm: 7.1934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9287 loss: 1.9287 2022/07/28 02:12:38 - mmengine - INFO - Epoch(train) [79][1680/3757] lr: 6.0396e-03 eta: 1 day, 18:05:12 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 7.0991 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9598 loss: 1.9598 2022/07/28 02:12:46 - mmengine - INFO - Epoch(train) [79][1700/3757] lr: 6.0396e-03 eta: 1 day, 18:05:04 time: 0.3953 data_time: 0.0149 memory: 17007 grad_norm: 6.9485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0334 loss: 2.0334 2022/07/28 02:12:54 - mmengine - INFO - Epoch(train) [79][1720/3757] lr: 6.0396e-03 eta: 1 day, 18:04:56 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 7.1357 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0552 loss: 2.0552 2022/07/28 02:13:01 - mmengine - INFO - Epoch(train) [79][1740/3757] lr: 6.0396e-03 eta: 1 day, 18:04:48 time: 0.3922 data_time: 0.0127 memory: 17007 grad_norm: 7.1064 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3059 loss: 2.3059 2022/07/28 02:13:09 - mmengine - INFO - Epoch(train) [79][1760/3757] lr: 6.0396e-03 eta: 1 day, 18:04:40 time: 0.3958 data_time: 0.0147 memory: 17007 grad_norm: 6.8325 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8673 loss: 1.8673 2022/07/28 02:13:17 - mmengine - INFO - Epoch(train) [79][1780/3757] lr: 6.0396e-03 eta: 1 day, 18:04:32 time: 0.3980 data_time: 0.0163 memory: 17007 grad_norm: 6.9695 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2590 loss: 2.2590 2022/07/28 02:13:25 - mmengine - INFO - Epoch(train) [79][1800/3757] lr: 6.0396e-03 eta: 1 day, 18:04:24 time: 0.3971 data_time: 0.0175 memory: 17007 grad_norm: 7.1160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0459 loss: 2.0459 2022/07/28 02:13:33 - mmengine - INFO - Epoch(train) [79][1820/3757] lr: 6.0396e-03 eta: 1 day, 18:04:16 time: 0.3920 data_time: 0.0138 memory: 17007 grad_norm: 6.9604 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2920 loss: 2.2920 2022/07/28 02:13:41 - mmengine - INFO - Epoch(train) [79][1840/3757] lr: 6.0396e-03 eta: 1 day, 18:04:08 time: 0.3982 data_time: 0.0156 memory: 17007 grad_norm: 6.7687 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4578 loss: 2.4578 2022/07/28 02:13:49 - mmengine - INFO - Epoch(train) [79][1860/3757] lr: 6.0396e-03 eta: 1 day, 18:04:00 time: 0.3960 data_time: 0.0147 memory: 17007 grad_norm: 6.6136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0083 loss: 2.0083 2022/07/28 02:13:57 - mmengine - INFO - Epoch(train) [79][1880/3757] lr: 6.0396e-03 eta: 1 day, 18:03:52 time: 0.3977 data_time: 0.0163 memory: 17007 grad_norm: 6.8136 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1711 loss: 2.1711 2022/07/28 02:14:05 - mmengine - INFO - Epoch(train) [79][1900/3757] lr: 6.0396e-03 eta: 1 day, 18:03:44 time: 0.3922 data_time: 0.0131 memory: 17007 grad_norm: 6.7341 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1277 loss: 2.1277 2022/07/28 02:14:13 - mmengine - INFO - Epoch(train) [79][1920/3757] lr: 6.0396e-03 eta: 1 day, 18:03:36 time: 0.3960 data_time: 0.0171 memory: 17007 grad_norm: 6.7630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0817 loss: 2.0817 2022/07/28 02:14:21 - mmengine - INFO - Epoch(train) [79][1940/3757] lr: 6.0396e-03 eta: 1 day, 18:03:28 time: 0.3924 data_time: 0.0123 memory: 17007 grad_norm: 6.9019 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8719 loss: 1.8719 2022/07/28 02:14:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:14:29 - mmengine - INFO - Epoch(train) [79][1960/3757] lr: 6.0396e-03 eta: 1 day, 18:03:20 time: 0.3963 data_time: 0.0165 memory: 17007 grad_norm: 6.7667 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1998 loss: 2.1998 2022/07/28 02:14:37 - mmengine - INFO - Epoch(train) [79][1980/3757] lr: 6.0396e-03 eta: 1 day, 18:03:12 time: 0.4011 data_time: 0.0143 memory: 17007 grad_norm: 6.7612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2879 loss: 2.2879 2022/07/28 02:14:45 - mmengine - INFO - Epoch(train) [79][2000/3757] lr: 6.0396e-03 eta: 1 day, 18:03:04 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 6.9244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9446 loss: 1.9446 2022/07/28 02:14:52 - mmengine - INFO - Epoch(train) [79][2020/3757] lr: 6.0396e-03 eta: 1 day, 18:02:56 time: 0.3965 data_time: 0.0138 memory: 17007 grad_norm: 6.8895 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3013 loss: 2.3013 2022/07/28 02:15:00 - mmengine - INFO - Epoch(train) [79][2040/3757] lr: 6.0396e-03 eta: 1 day, 18:02:48 time: 0.3997 data_time: 0.0163 memory: 17007 grad_norm: 7.2036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1016 loss: 2.1016 2022/07/28 02:15:08 - mmengine - INFO - Epoch(train) [79][2060/3757] lr: 6.0396e-03 eta: 1 day, 18:02:40 time: 0.3953 data_time: 0.0133 memory: 17007 grad_norm: 6.8507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1692 loss: 2.1692 2022/07/28 02:15:16 - mmengine - INFO - Epoch(train) [79][2080/3757] lr: 6.0396e-03 eta: 1 day, 18:02:32 time: 0.3980 data_time: 0.0168 memory: 17007 grad_norm: 6.9869 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8262 loss: 1.8262 2022/07/28 02:15:24 - mmengine - INFO - Epoch(train) [79][2100/3757] lr: 6.0396e-03 eta: 1 day, 18:02:24 time: 0.3925 data_time: 0.0133 memory: 17007 grad_norm: 7.0766 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1967 loss: 2.1967 2022/07/28 02:15:32 - mmengine - INFO - Epoch(train) [79][2120/3757] lr: 6.0396e-03 eta: 1 day, 18:02:16 time: 0.3941 data_time: 0.0146 memory: 17007 grad_norm: 7.0028 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0224 loss: 2.0224 2022/07/28 02:15:40 - mmengine - INFO - Epoch(train) [79][2140/3757] lr: 6.0396e-03 eta: 1 day, 18:02:08 time: 0.3948 data_time: 0.0139 memory: 17007 grad_norm: 7.0888 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8758 loss: 1.8758 2022/07/28 02:15:48 - mmengine - INFO - Epoch(train) [79][2160/3757] lr: 6.0396e-03 eta: 1 day, 18:02:00 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 7.0767 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0332 loss: 2.0332 2022/07/28 02:15:56 - mmengine - INFO - Epoch(train) [79][2180/3757] lr: 6.0396e-03 eta: 1 day, 18:01:52 time: 0.3956 data_time: 0.0133 memory: 17007 grad_norm: 7.0274 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9862 loss: 1.9862 2022/07/28 02:16:04 - mmengine - INFO - Epoch(train) [79][2200/3757] lr: 6.0396e-03 eta: 1 day, 18:01:44 time: 0.3932 data_time: 0.0156 memory: 17007 grad_norm: 7.1391 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4358 loss: 2.4358 2022/07/28 02:16:12 - mmengine - INFO - Epoch(train) [79][2220/3757] lr: 6.0396e-03 eta: 1 day, 18:01:36 time: 0.3972 data_time: 0.0147 memory: 17007 grad_norm: 6.6387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2410 loss: 2.2410 2022/07/28 02:16:20 - mmengine - INFO - Epoch(train) [79][2240/3757] lr: 6.0396e-03 eta: 1 day, 18:01:28 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 6.8108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2783 loss: 2.2783 2022/07/28 02:16:28 - mmengine - INFO - Epoch(train) [79][2260/3757] lr: 6.0396e-03 eta: 1 day, 18:01:20 time: 0.4000 data_time: 0.0133 memory: 17007 grad_norm: 6.7134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0291 loss: 2.0291 2022/07/28 02:16:35 - mmengine - INFO - Epoch(train) [79][2280/3757] lr: 6.0396e-03 eta: 1 day, 18:01:12 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 6.8065 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1898 loss: 2.1898 2022/07/28 02:16:43 - mmengine - INFO - Epoch(train) [79][2300/3757] lr: 6.0396e-03 eta: 1 day, 18:01:04 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 6.5640 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 1.9215 loss: 1.9215 2022/07/28 02:16:51 - mmengine - INFO - Epoch(train) [79][2320/3757] lr: 6.0396e-03 eta: 1 day, 18:00:56 time: 0.3983 data_time: 0.0163 memory: 17007 grad_norm: 6.6107 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0591 loss: 2.0591 2022/07/28 02:16:59 - mmengine - INFO - Epoch(train) [79][2340/3757] lr: 6.0396e-03 eta: 1 day, 18:00:48 time: 0.3932 data_time: 0.0138 memory: 17007 grad_norm: 6.8594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2293 loss: 2.2293 2022/07/28 02:17:07 - mmengine - INFO - Epoch(train) [79][2360/3757] lr: 6.0396e-03 eta: 1 day, 18:00:40 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 7.0791 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0988 loss: 2.0988 2022/07/28 02:17:15 - mmengine - INFO - Epoch(train) [79][2380/3757] lr: 6.0396e-03 eta: 1 day, 18:00:32 time: 0.3934 data_time: 0.0135 memory: 17007 grad_norm: 7.1670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1580 loss: 2.1580 2022/07/28 02:17:23 - mmengine - INFO - Epoch(train) [79][2400/3757] lr: 6.0396e-03 eta: 1 day, 18:00:24 time: 0.3948 data_time: 0.0165 memory: 17007 grad_norm: 6.6406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9698 loss: 1.9698 2022/07/28 02:17:31 - mmengine - INFO - Epoch(train) [79][2420/3757] lr: 6.0396e-03 eta: 1 day, 18:00:16 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 6.7060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0147 loss: 2.0147 2022/07/28 02:17:39 - mmengine - INFO - Epoch(train) [79][2440/3757] lr: 6.0396e-03 eta: 1 day, 18:00:08 time: 0.3986 data_time: 0.0164 memory: 17007 grad_norm: 6.8360 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9527 loss: 1.9527 2022/07/28 02:17:47 - mmengine - INFO - Epoch(train) [79][2460/3757] lr: 6.0396e-03 eta: 1 day, 18:00:00 time: 0.3916 data_time: 0.0142 memory: 17007 grad_norm: 6.8011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3164 loss: 2.3164 2022/07/28 02:17:54 - mmengine - INFO - Epoch(train) [79][2480/3757] lr: 6.0396e-03 eta: 1 day, 17:59:52 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 6.7119 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1360 loss: 2.1360 2022/07/28 02:18:03 - mmengine - INFO - Epoch(train) [79][2500/3757] lr: 6.0396e-03 eta: 1 day, 17:59:45 time: 0.4103 data_time: 0.0157 memory: 17007 grad_norm: 6.8523 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3638 loss: 2.3638 2022/07/28 02:18:11 - mmengine - INFO - Epoch(train) [79][2520/3757] lr: 6.0396e-03 eta: 1 day, 17:59:37 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 6.7805 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9692 loss: 1.9692 2022/07/28 02:18:19 - mmengine - INFO - Epoch(train) [79][2540/3757] lr: 6.0396e-03 eta: 1 day, 17:59:29 time: 0.4025 data_time: 0.0143 memory: 17007 grad_norm: 7.0265 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0617 loss: 2.0617 2022/07/28 02:18:26 - mmengine - INFO - Epoch(train) [79][2560/3757] lr: 6.0396e-03 eta: 1 day, 17:59:21 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.8832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1180 loss: 2.1180 2022/07/28 02:18:34 - mmengine - INFO - Epoch(train) [79][2580/3757] lr: 6.0396e-03 eta: 1 day, 17:59:13 time: 0.3911 data_time: 0.0125 memory: 17007 grad_norm: 6.9861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1608 loss: 2.1608 2022/07/28 02:18:42 - mmengine - INFO - Epoch(train) [79][2600/3757] lr: 6.0396e-03 eta: 1 day, 17:59:05 time: 0.4093 data_time: 0.0154 memory: 17007 grad_norm: 6.9385 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5287 loss: 2.5287 2022/07/28 02:18:50 - mmengine - INFO - Epoch(train) [79][2620/3757] lr: 6.0396e-03 eta: 1 day, 17:58:57 time: 0.3930 data_time: 0.0137 memory: 17007 grad_norm: 6.8217 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1230 loss: 2.1230 2022/07/28 02:18:58 - mmengine - INFO - Epoch(train) [79][2640/3757] lr: 6.0396e-03 eta: 1 day, 17:58:49 time: 0.3992 data_time: 0.0159 memory: 17007 grad_norm: 6.9394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9452 loss: 1.9452 2022/07/28 02:19:06 - mmengine - INFO - Epoch(train) [79][2660/3757] lr: 6.0396e-03 eta: 1 day, 17:58:41 time: 0.3934 data_time: 0.0129 memory: 17007 grad_norm: 6.9886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9537 loss: 1.9537 2022/07/28 02:19:14 - mmengine - INFO - Epoch(train) [79][2680/3757] lr: 6.0396e-03 eta: 1 day, 17:58:33 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 6.9790 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2324 loss: 2.2324 2022/07/28 02:19:22 - mmengine - INFO - Epoch(train) [79][2700/3757] lr: 6.0396e-03 eta: 1 day, 17:58:25 time: 0.4088 data_time: 0.0133 memory: 17007 grad_norm: 6.9243 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9454 loss: 1.9454 2022/07/28 02:19:30 - mmengine - INFO - Epoch(train) [79][2720/3757] lr: 6.0396e-03 eta: 1 day, 17:58:17 time: 0.3946 data_time: 0.0159 memory: 17007 grad_norm: 7.0804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9675 loss: 1.9675 2022/07/28 02:19:38 - mmengine - INFO - Epoch(train) [79][2740/3757] lr: 6.0396e-03 eta: 1 day, 17:58:09 time: 0.3946 data_time: 0.0137 memory: 17007 grad_norm: 6.7690 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9488 loss: 1.9488 2022/07/28 02:19:46 - mmengine - INFO - Epoch(train) [79][2760/3757] lr: 6.0396e-03 eta: 1 day, 17:58:01 time: 0.3941 data_time: 0.0155 memory: 17007 grad_norm: 7.1041 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0124 loss: 2.0124 2022/07/28 02:19:54 - mmengine - INFO - Epoch(train) [79][2780/3757] lr: 6.0396e-03 eta: 1 day, 17:57:53 time: 0.3934 data_time: 0.0126 memory: 17007 grad_norm: 7.1902 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7121 loss: 1.7121 2022/07/28 02:20:02 - mmengine - INFO - Epoch(train) [79][2800/3757] lr: 6.0396e-03 eta: 1 day, 17:57:45 time: 0.3972 data_time: 0.0162 memory: 17007 grad_norm: 6.8961 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9918 loss: 1.9918 2022/07/28 02:20:10 - mmengine - INFO - Epoch(train) [79][2820/3757] lr: 6.0396e-03 eta: 1 day, 17:57:37 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 7.0621 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2707 loss: 2.2707 2022/07/28 02:20:18 - mmengine - INFO - Epoch(train) [79][2840/3757] lr: 6.0396e-03 eta: 1 day, 17:57:29 time: 0.3988 data_time: 0.0167 memory: 17007 grad_norm: 7.0830 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1723 loss: 2.1723 2022/07/28 02:20:26 - mmengine - INFO - Epoch(train) [79][2860/3757] lr: 6.0396e-03 eta: 1 day, 17:57:21 time: 0.3909 data_time: 0.0130 memory: 17007 grad_norm: 6.7915 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1055 loss: 2.1055 2022/07/28 02:20:33 - mmengine - INFO - Epoch(train) [79][2880/3757] lr: 6.0396e-03 eta: 1 day, 17:57:13 time: 0.3926 data_time: 0.0144 memory: 17007 grad_norm: 6.8464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9199 loss: 1.9199 2022/07/28 02:20:41 - mmengine - INFO - Epoch(train) [79][2900/3757] lr: 6.0396e-03 eta: 1 day, 17:57:06 time: 0.4036 data_time: 0.0153 memory: 17007 grad_norm: 6.7819 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7863 loss: 1.7863 2022/07/28 02:20:49 - mmengine - INFO - Epoch(train) [79][2920/3757] lr: 6.0396e-03 eta: 1 day, 17:56:58 time: 0.3952 data_time: 0.0162 memory: 17007 grad_norm: 6.8189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5223 loss: 2.5223 2022/07/28 02:20:57 - mmengine - INFO - Epoch(train) [79][2940/3757] lr: 6.0396e-03 eta: 1 day, 17:56:50 time: 0.3992 data_time: 0.0135 memory: 17007 grad_norm: 7.0287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1497 loss: 2.1497 2022/07/28 02:21:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:21:05 - mmengine - INFO - Epoch(train) [79][2960/3757] lr: 6.0396e-03 eta: 1 day, 17:56:42 time: 0.3948 data_time: 0.0166 memory: 17007 grad_norm: 7.0112 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1026 loss: 2.1026 2022/07/28 02:21:13 - mmengine - INFO - Epoch(train) [79][2980/3757] lr: 6.0396e-03 eta: 1 day, 17:56:34 time: 0.3925 data_time: 0.0120 memory: 17007 grad_norm: 6.9550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8205 loss: 1.8205 2022/07/28 02:21:21 - mmengine - INFO - Epoch(train) [79][3000/3757] lr: 6.0396e-03 eta: 1 day, 17:56:26 time: 0.3999 data_time: 0.0155 memory: 17007 grad_norm: 6.9454 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9517 loss: 1.9517 2022/07/28 02:21:29 - mmengine - INFO - Epoch(train) [79][3020/3757] lr: 6.0396e-03 eta: 1 day, 17:56:18 time: 0.3923 data_time: 0.0140 memory: 17007 grad_norm: 7.0635 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1972 loss: 2.1972 2022/07/28 02:21:37 - mmengine - INFO - Epoch(train) [79][3040/3757] lr: 6.0396e-03 eta: 1 day, 17:56:10 time: 0.4016 data_time: 0.0156 memory: 17007 grad_norm: 6.6345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3989 loss: 2.3989 2022/07/28 02:21:45 - mmengine - INFO - Epoch(train) [79][3060/3757] lr: 6.0396e-03 eta: 1 day, 17:56:02 time: 0.3925 data_time: 0.0136 memory: 17007 grad_norm: 6.5550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9100 loss: 1.9100 2022/07/28 02:21:53 - mmengine - INFO - Epoch(train) [79][3080/3757] lr: 6.0396e-03 eta: 1 day, 17:55:54 time: 0.3958 data_time: 0.0162 memory: 17007 grad_norm: 6.9457 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5826 loss: 2.5826 2022/07/28 02:22:01 - mmengine - INFO - Epoch(train) [79][3100/3757] lr: 6.0396e-03 eta: 1 day, 17:55:46 time: 0.4137 data_time: 0.0130 memory: 17007 grad_norm: 6.9474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8561 loss: 1.8561 2022/07/28 02:22:09 - mmengine - INFO - Epoch(train) [79][3120/3757] lr: 6.0396e-03 eta: 1 day, 17:55:38 time: 0.3966 data_time: 0.0172 memory: 17007 grad_norm: 6.9059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9806 loss: 1.9806 2022/07/28 02:22:17 - mmengine - INFO - Epoch(train) [79][3140/3757] lr: 6.0396e-03 eta: 1 day, 17:55:30 time: 0.3946 data_time: 0.0129 memory: 17007 grad_norm: 6.8307 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.8216 loss: 1.8216 2022/07/28 02:22:25 - mmengine - INFO - Epoch(train) [79][3160/3757] lr: 6.0396e-03 eta: 1 day, 17:55:22 time: 0.3943 data_time: 0.0156 memory: 17007 grad_norm: 7.0839 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7341 loss: 1.7341 2022/07/28 02:22:33 - mmengine - INFO - Epoch(train) [79][3180/3757] lr: 6.0396e-03 eta: 1 day, 17:55:14 time: 0.3964 data_time: 0.0133 memory: 17007 grad_norm: 6.8095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/07/28 02:22:41 - mmengine - INFO - Epoch(train) [79][3200/3757] lr: 6.0396e-03 eta: 1 day, 17:55:06 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 6.9363 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9292 loss: 1.9292 2022/07/28 02:22:49 - mmengine - INFO - Epoch(train) [79][3220/3757] lr: 6.0396e-03 eta: 1 day, 17:54:58 time: 0.3942 data_time: 0.0134 memory: 17007 grad_norm: 6.7773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0540 loss: 2.0540 2022/07/28 02:22:57 - mmengine - INFO - Epoch(train) [79][3240/3757] lr: 6.0396e-03 eta: 1 day, 17:54:51 time: 0.4221 data_time: 0.0156 memory: 17007 grad_norm: 6.8782 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2018 loss: 2.2018 2022/07/28 02:23:05 - mmengine - INFO - Epoch(train) [79][3260/3757] lr: 6.0396e-03 eta: 1 day, 17:54:43 time: 0.3939 data_time: 0.0135 memory: 17007 grad_norm: 6.7228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1065 loss: 2.1065 2022/07/28 02:23:13 - mmengine - INFO - Epoch(train) [79][3280/3757] lr: 6.0396e-03 eta: 1 day, 17:54:35 time: 0.3937 data_time: 0.0152 memory: 17007 grad_norm: 7.0259 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4120 loss: 2.4120 2022/07/28 02:23:21 - mmengine - INFO - Epoch(train) [79][3300/3757] lr: 6.0396e-03 eta: 1 day, 17:54:27 time: 0.3962 data_time: 0.0138 memory: 17007 grad_norm: 6.9951 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8669 loss: 1.8669 2022/07/28 02:23:29 - mmengine - INFO - Epoch(train) [79][3320/3757] lr: 6.0396e-03 eta: 1 day, 17:54:19 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 6.9949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9766 loss: 1.9766 2022/07/28 02:23:37 - mmengine - INFO - Epoch(train) [79][3340/3757] lr: 6.0396e-03 eta: 1 day, 17:54:11 time: 0.4007 data_time: 0.0136 memory: 17007 grad_norm: 6.7425 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0919 loss: 2.0919 2022/07/28 02:23:45 - mmengine - INFO - Epoch(train) [79][3360/3757] lr: 6.0396e-03 eta: 1 day, 17:54:03 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 6.6889 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1452 loss: 2.1452 2022/07/28 02:23:52 - mmengine - INFO - Epoch(train) [79][3380/3757] lr: 6.0396e-03 eta: 1 day, 17:53:55 time: 0.3922 data_time: 0.0132 memory: 17007 grad_norm: 6.8432 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3701 loss: 2.3701 2022/07/28 02:24:00 - mmengine - INFO - Epoch(train) [79][3400/3757] lr: 6.0396e-03 eta: 1 day, 17:53:47 time: 0.3964 data_time: 0.0155 memory: 17007 grad_norm: 6.6584 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9476 loss: 1.9476 2022/07/28 02:24:08 - mmengine - INFO - Epoch(train) [79][3420/3757] lr: 6.0396e-03 eta: 1 day, 17:53:39 time: 0.3929 data_time: 0.0119 memory: 17007 grad_norm: 6.8887 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1042 loss: 2.1042 2022/07/28 02:24:17 - mmengine - INFO - Epoch(train) [79][3440/3757] lr: 6.0396e-03 eta: 1 day, 17:53:32 time: 0.4163 data_time: 0.0153 memory: 17007 grad_norm: 7.0375 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0375 loss: 2.0375 2022/07/28 02:24:24 - mmengine - INFO - Epoch(train) [79][3460/3757] lr: 6.0396e-03 eta: 1 day, 17:53:24 time: 0.3930 data_time: 0.0153 memory: 17007 grad_norm: 6.8391 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9323 loss: 1.9323 2022/07/28 02:24:32 - mmengine - INFO - Epoch(train) [79][3480/3757] lr: 6.0396e-03 eta: 1 day, 17:53:16 time: 0.3967 data_time: 0.0157 memory: 17007 grad_norm: 7.0435 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1733 loss: 2.1733 2022/07/28 02:24:40 - mmengine - INFO - Epoch(train) [79][3500/3757] lr: 6.0396e-03 eta: 1 day, 17:53:08 time: 0.3934 data_time: 0.0130 memory: 17007 grad_norm: 6.8455 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9851 loss: 1.9851 2022/07/28 02:24:48 - mmengine - INFO - Epoch(train) [79][3520/3757] lr: 6.0396e-03 eta: 1 day, 17:53:00 time: 0.3970 data_time: 0.0163 memory: 17007 grad_norm: 6.9239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2266 loss: 2.2266 2022/07/28 02:24:56 - mmengine - INFO - Epoch(train) [79][3540/3757] lr: 6.0396e-03 eta: 1 day, 17:52:52 time: 0.3923 data_time: 0.0144 memory: 17007 grad_norm: 7.0519 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0060 loss: 2.0060 2022/07/28 02:25:04 - mmengine - INFO - Epoch(train) [79][3560/3757] lr: 6.0396e-03 eta: 1 day, 17:52:44 time: 0.3932 data_time: 0.0148 memory: 17007 grad_norm: 6.9130 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8955 loss: 1.8955 2022/07/28 02:25:12 - mmengine - INFO - Epoch(train) [79][3580/3757] lr: 6.0396e-03 eta: 1 day, 17:52:36 time: 0.3990 data_time: 0.0152 memory: 17007 grad_norm: 7.1013 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3490 loss: 2.3490 2022/07/28 02:25:20 - mmengine - INFO - Epoch(train) [79][3600/3757] lr: 6.0396e-03 eta: 1 day, 17:52:28 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 6.8606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0257 loss: 2.0257 2022/07/28 02:25:28 - mmengine - INFO - Epoch(train) [79][3620/3757] lr: 6.0396e-03 eta: 1 day, 17:52:20 time: 0.3959 data_time: 0.0147 memory: 17007 grad_norm: 6.8811 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2599 loss: 2.2599 2022/07/28 02:25:36 - mmengine - INFO - Epoch(train) [79][3640/3757] lr: 6.0396e-03 eta: 1 day, 17:52:12 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.8143 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1783 loss: 2.1783 2022/07/28 02:25:43 - mmengine - INFO - Epoch(train) [79][3660/3757] lr: 6.0396e-03 eta: 1 day, 17:52:04 time: 0.3931 data_time: 0.0134 memory: 17007 grad_norm: 6.9291 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2902 loss: 2.2902 2022/07/28 02:25:51 - mmengine - INFO - Epoch(train) [79][3680/3757] lr: 6.0396e-03 eta: 1 day, 17:51:56 time: 0.3946 data_time: 0.0164 memory: 17007 grad_norm: 6.8500 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1395 loss: 2.1395 2022/07/28 02:25:59 - mmengine - INFO - Epoch(train) [79][3700/3757] lr: 6.0396e-03 eta: 1 day, 17:51:48 time: 0.3981 data_time: 0.0123 memory: 17007 grad_norm: 6.8045 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2051 loss: 2.2051 2022/07/28 02:26:07 - mmengine - INFO - Epoch(train) [79][3720/3757] lr: 6.0396e-03 eta: 1 day, 17:51:40 time: 0.3968 data_time: 0.0168 memory: 17007 grad_norm: 6.9107 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7969 loss: 1.7969 2022/07/28 02:26:15 - mmengine - INFO - Epoch(train) [79][3740/3757] lr: 6.0396e-03 eta: 1 day, 17:51:32 time: 0.3924 data_time: 0.0137 memory: 17007 grad_norm: 6.9315 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1945 loss: 2.1945 2022/07/28 02:26:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:26:22 - mmengine - INFO - Epoch(train) [79][3757/3757] lr: 6.0396e-03 eta: 1 day, 17:51:32 time: 0.3909 data_time: 0.0156 memory: 17007 grad_norm: 7.2007 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1863 loss: 2.1863 2022/07/28 02:26:22 - mmengine - INFO - Saving checkpoint at 79 epochs 2022/07/28 02:26:33 - mmengine - INFO - Epoch(train) [80][20/3757] lr: 5.9540e-03 eta: 1 day, 17:51:10 time: 0.4537 data_time: 0.0726 memory: 17007 grad_norm: 6.6339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6891 loss: 1.6891 2022/07/28 02:26:41 - mmengine - INFO - Epoch(train) [80][40/3757] lr: 5.9540e-03 eta: 1 day, 17:51:02 time: 0.3993 data_time: 0.0172 memory: 17007 grad_norm: 6.5910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0443 loss: 2.0443 2022/07/28 02:26:49 - mmengine - INFO - Epoch(train) [80][60/3757] lr: 5.9540e-03 eta: 1 day, 17:50:54 time: 0.3963 data_time: 0.0165 memory: 17007 grad_norm: 7.2696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3937 loss: 2.3937 2022/07/28 02:26:57 - mmengine - INFO - Epoch(train) [80][80/3757] lr: 5.9540e-03 eta: 1 day, 17:50:46 time: 0.3956 data_time: 0.0154 memory: 17007 grad_norm: 6.8413 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1476 loss: 2.1476 2022/07/28 02:27:05 - mmengine - INFO - Epoch(train) [80][100/3757] lr: 5.9540e-03 eta: 1 day, 17:50:38 time: 0.3934 data_time: 0.0145 memory: 17007 grad_norm: 6.9053 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0968 loss: 2.0968 2022/07/28 02:27:13 - mmengine - INFO - Epoch(train) [80][120/3757] lr: 5.9540e-03 eta: 1 day, 17:50:30 time: 0.3952 data_time: 0.0167 memory: 17007 grad_norm: 6.9572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1440 loss: 2.1440 2022/07/28 02:27:21 - mmengine - INFO - Epoch(train) [80][140/3757] lr: 5.9540e-03 eta: 1 day, 17:50:22 time: 0.3984 data_time: 0.0149 memory: 17007 grad_norm: 6.9168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1618 loss: 2.1618 2022/07/28 02:27:29 - mmengine - INFO - Epoch(train) [80][160/3757] lr: 5.9540e-03 eta: 1 day, 17:50:14 time: 0.3959 data_time: 0.0167 memory: 17007 grad_norm: 6.6150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1178 loss: 2.1178 2022/07/28 02:27:37 - mmengine - INFO - Epoch(train) [80][180/3757] lr: 5.9540e-03 eta: 1 day, 17:50:06 time: 0.3986 data_time: 0.0154 memory: 17007 grad_norm: 6.7708 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7984 loss: 1.7984 2022/07/28 02:27:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:27:44 - mmengine - INFO - Epoch(train) [80][200/3757] lr: 5.9540e-03 eta: 1 day, 17:49:58 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 6.8079 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1076 loss: 2.1076 2022/07/28 02:27:52 - mmengine - INFO - Epoch(train) [80][220/3757] lr: 5.9540e-03 eta: 1 day, 17:49:50 time: 0.3952 data_time: 0.0147 memory: 17007 grad_norm: 7.1097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8470 loss: 1.8470 2022/07/28 02:28:00 - mmengine - INFO - Epoch(train) [80][240/3757] lr: 5.9540e-03 eta: 1 day, 17:49:42 time: 0.4003 data_time: 0.0164 memory: 17007 grad_norm: 6.7204 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0050 loss: 2.0050 2022/07/28 02:28:08 - mmengine - INFO - Epoch(train) [80][260/3757] lr: 5.9540e-03 eta: 1 day, 17:49:34 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 7.0133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0834 loss: 2.0834 2022/07/28 02:28:17 - mmengine - INFO - Epoch(train) [80][280/3757] lr: 5.9540e-03 eta: 1 day, 17:49:27 time: 0.4184 data_time: 0.0161 memory: 17007 grad_norm: 7.0106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0647 loss: 2.0647 2022/07/28 02:28:25 - mmengine - INFO - Epoch(train) [80][300/3757] lr: 5.9540e-03 eta: 1 day, 17:49:19 time: 0.3949 data_time: 0.0141 memory: 17007 grad_norm: 6.8571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0850 loss: 2.0850 2022/07/28 02:28:33 - mmengine - INFO - Epoch(train) [80][320/3757] lr: 5.9540e-03 eta: 1 day, 17:49:11 time: 0.3998 data_time: 0.0164 memory: 17007 grad_norm: 6.6934 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9425 loss: 1.9425 2022/07/28 02:28:40 - mmengine - INFO - Epoch(train) [80][340/3757] lr: 5.9540e-03 eta: 1 day, 17:49:03 time: 0.3930 data_time: 0.0151 memory: 17007 grad_norm: 6.9352 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7750 loss: 1.7750 2022/07/28 02:28:48 - mmengine - INFO - Epoch(train) [80][360/3757] lr: 5.9540e-03 eta: 1 day, 17:48:55 time: 0.3968 data_time: 0.0156 memory: 17007 grad_norm: 6.8198 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8175 loss: 1.8175 2022/07/28 02:28:57 - mmengine - INFO - Epoch(train) [80][380/3757] lr: 5.9540e-03 eta: 1 day, 17:48:47 time: 0.4135 data_time: 0.0152 memory: 17007 grad_norm: 6.8698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0156 loss: 2.0156 2022/07/28 02:29:05 - mmengine - INFO - Epoch(train) [80][400/3757] lr: 5.9540e-03 eta: 1 day, 17:48:39 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 7.0072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1804 loss: 2.1804 2022/07/28 02:29:13 - mmengine - INFO - Epoch(train) [80][420/3757] lr: 5.9540e-03 eta: 1 day, 17:48:32 time: 0.4009 data_time: 0.0148 memory: 17007 grad_norm: 7.0190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1345 loss: 2.1345 2022/07/28 02:29:20 - mmengine - INFO - Epoch(train) [80][440/3757] lr: 5.9540e-03 eta: 1 day, 17:48:24 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 6.8851 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0942 loss: 2.0942 2022/07/28 02:29:28 - mmengine - INFO - Epoch(train) [80][460/3757] lr: 5.9540e-03 eta: 1 day, 17:48:16 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 7.1602 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8627 loss: 1.8627 2022/07/28 02:29:36 - mmengine - INFO - Epoch(train) [80][480/3757] lr: 5.9540e-03 eta: 1 day, 17:48:08 time: 0.3969 data_time: 0.0149 memory: 17007 grad_norm: 7.0518 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8672 loss: 1.8672 2022/07/28 02:29:44 - mmengine - INFO - Epoch(train) [80][500/3757] lr: 5.9540e-03 eta: 1 day, 17:48:00 time: 0.3934 data_time: 0.0129 memory: 17007 grad_norm: 7.1672 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1064 loss: 2.1064 2022/07/28 02:29:52 - mmengine - INFO - Epoch(train) [80][520/3757] lr: 5.9540e-03 eta: 1 day, 17:47:52 time: 0.3928 data_time: 0.0145 memory: 17007 grad_norm: 7.0414 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8612 loss: 1.8612 2022/07/28 02:30:00 - mmengine - INFO - Epoch(train) [80][540/3757] lr: 5.9540e-03 eta: 1 day, 17:47:44 time: 0.3960 data_time: 0.0163 memory: 17007 grad_norm: 6.8264 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9934 loss: 1.9934 2022/07/28 02:30:08 - mmengine - INFO - Epoch(train) [80][560/3757] lr: 5.9540e-03 eta: 1 day, 17:47:36 time: 0.3953 data_time: 0.0159 memory: 17007 grad_norm: 6.6888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8427 loss: 1.8427 2022/07/28 02:30:16 - mmengine - INFO - Epoch(train) [80][580/3757] lr: 5.9540e-03 eta: 1 day, 17:47:28 time: 0.3927 data_time: 0.0147 memory: 17007 grad_norm: 6.9818 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9545 loss: 1.9545 2022/07/28 02:30:24 - mmengine - INFO - Epoch(train) [80][600/3757] lr: 5.9540e-03 eta: 1 day, 17:47:20 time: 0.3972 data_time: 0.0166 memory: 17007 grad_norm: 6.9443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9190 loss: 1.9190 2022/07/28 02:30:32 - mmengine - INFO - Epoch(train) [80][620/3757] lr: 5.9540e-03 eta: 1 day, 17:47:12 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 6.8935 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0954 loss: 2.0954 2022/07/28 02:30:40 - mmengine - INFO - Epoch(train) [80][640/3757] lr: 5.9540e-03 eta: 1 day, 17:47:04 time: 0.3963 data_time: 0.0159 memory: 17007 grad_norm: 7.0350 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9137 loss: 1.9137 2022/07/28 02:30:47 - mmengine - INFO - Epoch(train) [80][660/3757] lr: 5.9540e-03 eta: 1 day, 17:46:56 time: 0.3944 data_time: 0.0145 memory: 17007 grad_norm: 7.0705 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0416 loss: 2.0416 2022/07/28 02:30:55 - mmengine - INFO - Epoch(train) [80][680/3757] lr: 5.9540e-03 eta: 1 day, 17:46:48 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 6.7738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9430 loss: 1.9430 2022/07/28 02:31:03 - mmengine - INFO - Epoch(train) [80][700/3757] lr: 5.9540e-03 eta: 1 day, 17:46:40 time: 0.3954 data_time: 0.0148 memory: 17007 grad_norm: 7.0526 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3036 loss: 2.3036 2022/07/28 02:31:11 - mmengine - INFO - Epoch(train) [80][720/3757] lr: 5.9540e-03 eta: 1 day, 17:46:32 time: 0.3954 data_time: 0.0165 memory: 17007 grad_norm: 6.8875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0850 loss: 2.0850 2022/07/28 02:31:19 - mmengine - INFO - Epoch(train) [80][740/3757] lr: 5.9540e-03 eta: 1 day, 17:46:24 time: 0.3953 data_time: 0.0144 memory: 17007 grad_norm: 7.0125 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0933 loss: 2.0933 2022/07/28 02:31:27 - mmengine - INFO - Epoch(train) [80][760/3757] lr: 5.9540e-03 eta: 1 day, 17:46:16 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 7.1159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1539 loss: 2.1539 2022/07/28 02:31:35 - mmengine - INFO - Epoch(train) [80][780/3757] lr: 5.9540e-03 eta: 1 day, 17:46:08 time: 0.3935 data_time: 0.0154 memory: 17007 grad_norm: 7.1607 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3409 loss: 2.3409 2022/07/28 02:31:43 - mmengine - INFO - Epoch(train) [80][800/3757] lr: 5.9540e-03 eta: 1 day, 17:46:00 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 6.8594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8869 loss: 1.8869 2022/07/28 02:31:51 - mmengine - INFO - Epoch(train) [80][820/3757] lr: 5.9540e-03 eta: 1 day, 17:45:52 time: 0.4206 data_time: 0.0159 memory: 17007 grad_norm: 7.0642 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1559 loss: 2.1559 2022/07/28 02:31:59 - mmengine - INFO - Epoch(train) [80][840/3757] lr: 5.9540e-03 eta: 1 day, 17:45:44 time: 0.3950 data_time: 0.0160 memory: 17007 grad_norm: 6.8763 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9306 loss: 1.9306 2022/07/28 02:32:07 - mmengine - INFO - Epoch(train) [80][860/3757] lr: 5.9540e-03 eta: 1 day, 17:45:36 time: 0.3975 data_time: 0.0150 memory: 17007 grad_norm: 6.8603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0217 loss: 2.0217 2022/07/28 02:32:15 - mmengine - INFO - Epoch(train) [80][880/3757] lr: 5.9540e-03 eta: 1 day, 17:45:28 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 6.9018 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7482 loss: 1.7482 2022/07/28 02:32:23 - mmengine - INFO - Epoch(train) [80][900/3757] lr: 5.9540e-03 eta: 1 day, 17:45:20 time: 0.3924 data_time: 0.0144 memory: 17007 grad_norm: 6.7240 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9642 loss: 1.9642 2022/07/28 02:32:31 - mmengine - INFO - Epoch(train) [80][920/3757] lr: 5.9540e-03 eta: 1 day, 17:45:12 time: 0.3967 data_time: 0.0153 memory: 17007 grad_norm: 7.2077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2378 loss: 2.2378 2022/07/28 02:32:39 - mmengine - INFO - Epoch(train) [80][940/3757] lr: 5.9540e-03 eta: 1 day, 17:45:04 time: 0.3972 data_time: 0.0153 memory: 17007 grad_norm: 6.8064 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2984 loss: 2.2984 2022/07/28 02:32:47 - mmengine - INFO - Epoch(train) [80][960/3757] lr: 5.9540e-03 eta: 1 day, 17:44:56 time: 0.3948 data_time: 0.0149 memory: 17007 grad_norm: 6.7607 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7772 loss: 1.7772 2022/07/28 02:32:54 - mmengine - INFO - Epoch(train) [80][980/3757] lr: 5.9540e-03 eta: 1 day, 17:44:48 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.2029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1041 loss: 2.1041 2022/07/28 02:33:02 - mmengine - INFO - Epoch(train) [80][1000/3757] lr: 5.9540e-03 eta: 1 day, 17:44:40 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 6.8106 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3534 loss: 2.3534 2022/07/28 02:33:10 - mmengine - INFO - Epoch(train) [80][1020/3757] lr: 5.9540e-03 eta: 1 day, 17:44:32 time: 0.3950 data_time: 0.0158 memory: 17007 grad_norm: 6.9055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0214 loss: 2.0214 2022/07/28 02:33:18 - mmengine - INFO - Epoch(train) [80][1040/3757] lr: 5.9540e-03 eta: 1 day, 17:44:24 time: 0.3958 data_time: 0.0166 memory: 17007 grad_norm: 7.2244 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1622 loss: 2.1622 2022/07/28 02:33:26 - mmengine - INFO - Epoch(train) [80][1060/3757] lr: 5.9540e-03 eta: 1 day, 17:44:16 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 7.0988 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0251 loss: 2.0251 2022/07/28 02:33:34 - mmengine - INFO - Epoch(train) [80][1080/3757] lr: 5.9540e-03 eta: 1 day, 17:44:08 time: 0.3979 data_time: 0.0151 memory: 17007 grad_norm: 6.7722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8629 loss: 1.8629 2022/07/28 02:33:42 - mmengine - INFO - Epoch(train) [80][1100/3757] lr: 5.9540e-03 eta: 1 day, 17:44:00 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 6.8247 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1325 loss: 2.1325 2022/07/28 02:33:50 - mmengine - INFO - Epoch(train) [80][1120/3757] lr: 5.9540e-03 eta: 1 day, 17:43:52 time: 0.3956 data_time: 0.0161 memory: 17007 grad_norm: 6.7142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6274 loss: 1.6274 2022/07/28 02:33:58 - mmengine - INFO - Epoch(train) [80][1140/3757] lr: 5.9540e-03 eta: 1 day, 17:43:44 time: 0.3953 data_time: 0.0157 memory: 17007 grad_norm: 7.1912 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0965 loss: 2.0965 2022/07/28 02:34:06 - mmengine - INFO - Epoch(train) [80][1160/3757] lr: 5.9540e-03 eta: 1 day, 17:43:36 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 7.1340 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2200 loss: 2.2200 2022/07/28 02:34:14 - mmengine - INFO - Epoch(train) [80][1180/3757] lr: 5.9540e-03 eta: 1 day, 17:43:28 time: 0.3946 data_time: 0.0148 memory: 17007 grad_norm: 6.9505 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0510 loss: 2.0510 2022/07/28 02:34:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:34:22 - mmengine - INFO - Epoch(train) [80][1200/3757] lr: 5.9540e-03 eta: 1 day, 17:43:20 time: 0.3960 data_time: 0.0148 memory: 17007 grad_norm: 6.8981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1397 loss: 2.1397 2022/07/28 02:34:29 - mmengine - INFO - Epoch(train) [80][1220/3757] lr: 5.9540e-03 eta: 1 day, 17:43:12 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 7.2397 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8621 loss: 1.8621 2022/07/28 02:34:37 - mmengine - INFO - Epoch(train) [80][1240/3757] lr: 5.9540e-03 eta: 1 day, 17:43:04 time: 0.3959 data_time: 0.0150 memory: 17007 grad_norm: 6.9799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0070 loss: 2.0070 2022/07/28 02:34:45 - mmengine - INFO - Epoch(train) [80][1260/3757] lr: 5.9540e-03 eta: 1 day, 17:42:56 time: 0.3926 data_time: 0.0146 memory: 17007 grad_norm: 7.0287 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0082 loss: 2.0082 2022/07/28 02:34:53 - mmengine - INFO - Epoch(train) [80][1280/3757] lr: 5.9540e-03 eta: 1 day, 17:42:48 time: 0.3984 data_time: 0.0165 memory: 17007 grad_norm: 6.9193 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0575 loss: 2.0575 2022/07/28 02:35:01 - mmengine - INFO - Epoch(train) [80][1300/3757] lr: 5.9540e-03 eta: 1 day, 17:42:41 time: 0.3997 data_time: 0.0145 memory: 17007 grad_norm: 6.9124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8771 loss: 1.8771 2022/07/28 02:35:09 - mmengine - INFO - Epoch(train) [80][1320/3757] lr: 5.9540e-03 eta: 1 day, 17:42:33 time: 0.3950 data_time: 0.0168 memory: 17007 grad_norm: 6.9529 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9352 loss: 1.9352 2022/07/28 02:35:17 - mmengine - INFO - Epoch(train) [80][1340/3757] lr: 5.9540e-03 eta: 1 day, 17:42:25 time: 0.3931 data_time: 0.0145 memory: 17007 grad_norm: 6.6998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1293 loss: 2.1293 2022/07/28 02:35:25 - mmengine - INFO - Epoch(train) [80][1360/3757] lr: 5.9540e-03 eta: 1 day, 17:42:17 time: 0.3933 data_time: 0.0143 memory: 17007 grad_norm: 6.8758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0330 loss: 2.0330 2022/07/28 02:35:33 - mmengine - INFO - Epoch(train) [80][1380/3757] lr: 5.9540e-03 eta: 1 day, 17:42:09 time: 0.3974 data_time: 0.0155 memory: 17007 grad_norm: 6.8910 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1837 loss: 2.1837 2022/07/28 02:35:41 - mmengine - INFO - Epoch(train) [80][1400/3757] lr: 5.9540e-03 eta: 1 day, 17:42:01 time: 0.4077 data_time: 0.0155 memory: 17007 grad_norm: 6.8318 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1588 loss: 2.1588 2022/07/28 02:35:49 - mmengine - INFO - Epoch(train) [80][1420/3757] lr: 5.9540e-03 eta: 1 day, 17:41:53 time: 0.3947 data_time: 0.0172 memory: 17007 grad_norm: 6.7385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9716 loss: 1.9716 2022/07/28 02:35:57 - mmengine - INFO - Epoch(train) [80][1440/3757] lr: 5.9540e-03 eta: 1 day, 17:41:45 time: 0.3959 data_time: 0.0157 memory: 17007 grad_norm: 6.8581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2427 loss: 2.2427 2022/07/28 02:36:05 - mmengine - INFO - Epoch(train) [80][1460/3757] lr: 5.9540e-03 eta: 1 day, 17:41:37 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 7.0039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9975 loss: 1.9975 2022/07/28 02:36:13 - mmengine - INFO - Epoch(train) [80][1480/3757] lr: 5.9540e-03 eta: 1 day, 17:41:29 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 7.4589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2303 loss: 2.2303 2022/07/28 02:36:21 - mmengine - INFO - Epoch(train) [80][1500/3757] lr: 5.9540e-03 eta: 1 day, 17:41:21 time: 0.4002 data_time: 0.0152 memory: 17007 grad_norm: 7.2785 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4936 loss: 2.4936 2022/07/28 02:36:29 - mmengine - INFO - Epoch(train) [80][1520/3757] lr: 5.9540e-03 eta: 1 day, 17:41:13 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 7.1826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2602 loss: 2.2602 2022/07/28 02:36:36 - mmengine - INFO - Epoch(train) [80][1540/3757] lr: 5.9540e-03 eta: 1 day, 17:41:05 time: 0.3928 data_time: 0.0144 memory: 17007 grad_norm: 7.2560 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2297 loss: 2.2297 2022/07/28 02:36:44 - mmengine - INFO - Epoch(train) [80][1560/3757] lr: 5.9540e-03 eta: 1 day, 17:40:57 time: 0.3963 data_time: 0.0159 memory: 17007 grad_norm: 6.9054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1372 loss: 2.1372 2022/07/28 02:36:52 - mmengine - INFO - Epoch(train) [80][1580/3757] lr: 5.9540e-03 eta: 1 day, 17:40:49 time: 0.3925 data_time: 0.0150 memory: 17007 grad_norm: 7.0189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1105 loss: 2.1105 2022/07/28 02:37:00 - mmengine - INFO - Epoch(train) [80][1600/3757] lr: 5.9540e-03 eta: 1 day, 17:40:41 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 6.9559 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0945 loss: 2.0945 2022/07/28 02:37:08 - mmengine - INFO - Epoch(train) [80][1620/3757] lr: 5.9540e-03 eta: 1 day, 17:40:33 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 6.8068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8228 loss: 1.8228 2022/07/28 02:37:16 - mmengine - INFO - Epoch(train) [80][1640/3757] lr: 5.9540e-03 eta: 1 day, 17:40:25 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 6.8846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1312 loss: 2.1312 2022/07/28 02:37:24 - mmengine - INFO - Epoch(train) [80][1660/3757] lr: 5.9540e-03 eta: 1 day, 17:40:17 time: 0.3999 data_time: 0.0142 memory: 17007 grad_norm: 7.0130 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9840 loss: 1.9840 2022/07/28 02:37:32 - mmengine - INFO - Epoch(train) [80][1680/3757] lr: 5.9540e-03 eta: 1 day, 17:40:09 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 7.0385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0928 loss: 2.0928 2022/07/28 02:37:40 - mmengine - INFO - Epoch(train) [80][1700/3757] lr: 5.9540e-03 eta: 1 day, 17:40:01 time: 0.3957 data_time: 0.0158 memory: 17007 grad_norm: 6.8557 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8432 loss: 1.8432 2022/07/28 02:37:48 - mmengine - INFO - Epoch(train) [80][1720/3757] lr: 5.9540e-03 eta: 1 day, 17:39:53 time: 0.3941 data_time: 0.0148 memory: 17007 grad_norm: 6.6897 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0099 loss: 2.0099 2022/07/28 02:37:55 - mmengine - INFO - Epoch(train) [80][1740/3757] lr: 5.9540e-03 eta: 1 day, 17:39:45 time: 0.3934 data_time: 0.0147 memory: 17007 grad_norm: 6.8876 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9302 loss: 1.9302 2022/07/28 02:38:03 - mmengine - INFO - Epoch(train) [80][1760/3757] lr: 5.9540e-03 eta: 1 day, 17:39:37 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 6.9925 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9873 loss: 1.9873 2022/07/28 02:38:11 - mmengine - INFO - Epoch(train) [80][1780/3757] lr: 5.9540e-03 eta: 1 day, 17:39:29 time: 0.4011 data_time: 0.0155 memory: 17007 grad_norm: 7.0387 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0520 loss: 2.0520 2022/07/28 02:38:19 - mmengine - INFO - Epoch(train) [80][1800/3757] lr: 5.9540e-03 eta: 1 day, 17:39:21 time: 0.3974 data_time: 0.0174 memory: 17007 grad_norm: 6.7659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9417 loss: 1.9417 2022/07/28 02:38:27 - mmengine - INFO - Epoch(train) [80][1820/3757] lr: 5.9540e-03 eta: 1 day, 17:39:13 time: 0.3932 data_time: 0.0139 memory: 17007 grad_norm: 7.2308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1130 loss: 2.1130 2022/07/28 02:38:35 - mmengine - INFO - Epoch(train) [80][1840/3757] lr: 5.9540e-03 eta: 1 day, 17:39:05 time: 0.3938 data_time: 0.0164 memory: 17007 grad_norm: 6.8340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0482 loss: 2.0482 2022/07/28 02:38:43 - mmengine - INFO - Epoch(train) [80][1860/3757] lr: 5.9540e-03 eta: 1 day, 17:38:57 time: 0.3970 data_time: 0.0164 memory: 17007 grad_norm: 6.8314 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2526 loss: 2.2526 2022/07/28 02:38:51 - mmengine - INFO - Epoch(train) [80][1880/3757] lr: 5.9540e-03 eta: 1 day, 17:38:49 time: 0.3998 data_time: 0.0155 memory: 17007 grad_norm: 6.8761 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9727 loss: 1.9727 2022/07/28 02:38:59 - mmengine - INFO - Epoch(train) [80][1900/3757] lr: 5.9540e-03 eta: 1 day, 17:38:41 time: 0.3995 data_time: 0.0154 memory: 17007 grad_norm: 6.8975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1399 loss: 2.1399 2022/07/28 02:39:07 - mmengine - INFO - Epoch(train) [80][1920/3757] lr: 5.9540e-03 eta: 1 day, 17:38:33 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 6.7501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6472 loss: 1.6472 2022/07/28 02:39:15 - mmengine - INFO - Epoch(train) [80][1940/3757] lr: 5.9540e-03 eta: 1 day, 17:38:25 time: 0.3934 data_time: 0.0150 memory: 17007 grad_norm: 6.7382 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9991 loss: 1.9991 2022/07/28 02:39:23 - mmengine - INFO - Epoch(train) [80][1960/3757] lr: 5.9540e-03 eta: 1 day, 17:38:17 time: 0.3959 data_time: 0.0162 memory: 17007 grad_norm: 6.5818 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7435 loss: 1.7435 2022/07/28 02:39:31 - mmengine - INFO - Epoch(train) [80][1980/3757] lr: 5.9540e-03 eta: 1 day, 17:38:10 time: 0.3989 data_time: 0.0152 memory: 17007 grad_norm: 6.8427 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5163 loss: 2.5163 2022/07/28 02:39:39 - mmengine - INFO - Epoch(train) [80][2000/3757] lr: 5.9540e-03 eta: 1 day, 17:38:02 time: 0.4070 data_time: 0.0176 memory: 17007 grad_norm: 6.7693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8373 loss: 1.8373 2022/07/28 02:39:47 - mmengine - INFO - Epoch(train) [80][2020/3757] lr: 5.9540e-03 eta: 1 day, 17:37:54 time: 0.3930 data_time: 0.0142 memory: 17007 grad_norm: 7.0977 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9118 loss: 1.9118 2022/07/28 02:39:55 - mmengine - INFO - Epoch(train) [80][2040/3757] lr: 5.9540e-03 eta: 1 day, 17:37:46 time: 0.3996 data_time: 0.0158 memory: 17007 grad_norm: 6.8476 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0083 loss: 2.0083 2022/07/28 02:40:03 - mmengine - INFO - Epoch(train) [80][2060/3757] lr: 5.9540e-03 eta: 1 day, 17:37:38 time: 0.3972 data_time: 0.0157 memory: 17007 grad_norm: 6.9062 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1187 loss: 2.1187 2022/07/28 02:40:11 - mmengine - INFO - Epoch(train) [80][2080/3757] lr: 5.9540e-03 eta: 1 day, 17:37:30 time: 0.3977 data_time: 0.0157 memory: 17007 grad_norm: 6.2741 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9027 loss: 1.9027 2022/07/28 02:40:19 - mmengine - INFO - Epoch(train) [80][2100/3757] lr: 5.9540e-03 eta: 1 day, 17:37:22 time: 0.3990 data_time: 0.0160 memory: 17007 grad_norm: 6.9570 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1075 loss: 2.1075 2022/07/28 02:40:27 - mmengine - INFO - Epoch(train) [80][2120/3757] lr: 5.9540e-03 eta: 1 day, 17:37:14 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 7.0512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8736 loss: 1.8736 2022/07/28 02:40:35 - mmengine - INFO - Epoch(train) [80][2140/3757] lr: 5.9540e-03 eta: 1 day, 17:37:06 time: 0.3997 data_time: 0.0153 memory: 17007 grad_norm: 7.0730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3544 loss: 2.3544 2022/07/28 02:40:43 - mmengine - INFO - Epoch(train) [80][2160/3757] lr: 5.9540e-03 eta: 1 day, 17:36:58 time: 0.3996 data_time: 0.0168 memory: 17007 grad_norm: 6.6722 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2518 loss: 2.2518 2022/07/28 02:40:50 - mmengine - INFO - Epoch(train) [80][2180/3757] lr: 5.9540e-03 eta: 1 day, 17:36:50 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 6.8799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8608 loss: 1.8608 2022/07/28 02:40:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:40:58 - mmengine - INFO - Epoch(train) [80][2200/3757] lr: 5.9540e-03 eta: 1 day, 17:36:42 time: 0.3961 data_time: 0.0165 memory: 17007 grad_norm: 6.7907 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8881 loss: 1.8881 2022/07/28 02:41:06 - mmengine - INFO - Epoch(train) [80][2220/3757] lr: 5.9540e-03 eta: 1 day, 17:36:34 time: 0.3938 data_time: 0.0145 memory: 17007 grad_norm: 7.1002 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0901 loss: 2.0901 2022/07/28 02:41:14 - mmengine - INFO - Epoch(train) [80][2240/3757] lr: 5.9540e-03 eta: 1 day, 17:36:26 time: 0.3985 data_time: 0.0154 memory: 17007 grad_norm: 7.0113 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2952 loss: 2.2952 2022/07/28 02:41:22 - mmengine - INFO - Epoch(train) [80][2260/3757] lr: 5.9540e-03 eta: 1 day, 17:36:18 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 6.9019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2739 loss: 2.2739 2022/07/28 02:41:30 - mmengine - INFO - Epoch(train) [80][2280/3757] lr: 5.9540e-03 eta: 1 day, 17:36:11 time: 0.4009 data_time: 0.0147 memory: 17007 grad_norm: 7.2008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0006 loss: 2.0006 2022/07/28 02:41:38 - mmengine - INFO - Epoch(train) [80][2300/3757] lr: 5.9540e-03 eta: 1 day, 17:36:03 time: 0.3947 data_time: 0.0165 memory: 17007 grad_norm: 6.7252 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0089 loss: 2.0089 2022/07/28 02:41:46 - mmengine - INFO - Epoch(train) [80][2320/3757] lr: 5.9540e-03 eta: 1 day, 17:35:55 time: 0.3921 data_time: 0.0148 memory: 17007 grad_norm: 6.8591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0190 loss: 2.0190 2022/07/28 02:41:54 - mmengine - INFO - Epoch(train) [80][2340/3757] lr: 5.9540e-03 eta: 1 day, 17:35:47 time: 0.4115 data_time: 0.0151 memory: 17007 grad_norm: 7.0161 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0455 loss: 2.0455 2022/07/28 02:42:02 - mmengine - INFO - Epoch(train) [80][2360/3757] lr: 5.9540e-03 eta: 1 day, 17:35:39 time: 0.3927 data_time: 0.0149 memory: 17007 grad_norm: 6.8953 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1870 loss: 2.1870 2022/07/28 02:42:10 - mmengine - INFO - Epoch(train) [80][2380/3757] lr: 5.9540e-03 eta: 1 day, 17:35:31 time: 0.4048 data_time: 0.0146 memory: 17007 grad_norm: 6.9449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1128 loss: 2.1128 2022/07/28 02:42:18 - mmengine - INFO - Epoch(train) [80][2400/3757] lr: 5.9540e-03 eta: 1 day, 17:35:23 time: 0.3927 data_time: 0.0141 memory: 17007 grad_norm: 6.8434 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0862 loss: 2.0862 2022/07/28 02:42:26 - mmengine - INFO - Epoch(train) [80][2420/3757] lr: 5.9540e-03 eta: 1 day, 17:35:15 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 6.8006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9827 loss: 1.9827 2022/07/28 02:42:34 - mmengine - INFO - Epoch(train) [80][2440/3757] lr: 5.9540e-03 eta: 1 day, 17:35:07 time: 0.4051 data_time: 0.0158 memory: 17007 grad_norm: 6.9311 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9804 loss: 1.9804 2022/07/28 02:42:42 - mmengine - INFO - Epoch(train) [80][2460/3757] lr: 5.9540e-03 eta: 1 day, 17:35:00 time: 0.4041 data_time: 0.0139 memory: 17007 grad_norm: 6.8876 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7806 loss: 1.7806 2022/07/28 02:42:50 - mmengine - INFO - Epoch(train) [80][2480/3757] lr: 5.9540e-03 eta: 1 day, 17:34:52 time: 0.3986 data_time: 0.0174 memory: 17007 grad_norm: 6.8832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7140 loss: 1.7140 2022/07/28 02:43:00 - mmengine - INFO - Epoch(train) [80][2500/3757] lr: 5.9540e-03 eta: 1 day, 17:34:46 time: 0.4894 data_time: 0.0262 memory: 17007 grad_norm: 6.9181 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0499 loss: 2.0499 2022/07/28 02:43:09 - mmengine - INFO - Epoch(train) [80][2520/3757] lr: 5.9540e-03 eta: 1 day, 17:34:40 time: 0.4775 data_time: 0.0135 memory: 17007 grad_norm: 7.1015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4649 loss: 2.4649 2022/07/28 02:43:17 - mmengine - INFO - Epoch(train) [80][2540/3757] lr: 5.9540e-03 eta: 1 day, 17:34:32 time: 0.3902 data_time: 0.0143 memory: 17007 grad_norm: 7.1479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0270 loss: 2.0270 2022/07/28 02:43:25 - mmengine - INFO - Epoch(train) [80][2560/3757] lr: 5.9540e-03 eta: 1 day, 17:34:24 time: 0.3984 data_time: 0.0155 memory: 17007 grad_norm: 7.1813 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8614 loss: 1.8614 2022/07/28 02:43:33 - mmengine - INFO - Epoch(train) [80][2580/3757] lr: 5.9540e-03 eta: 1 day, 17:34:16 time: 0.3927 data_time: 0.0136 memory: 17007 grad_norm: 7.1458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9116 loss: 1.9116 2022/07/28 02:43:41 - mmengine - INFO - Epoch(train) [80][2600/3757] lr: 5.9540e-03 eta: 1 day, 17:34:08 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 6.9108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0326 loss: 2.0326 2022/07/28 02:43:49 - mmengine - INFO - Epoch(train) [80][2620/3757] lr: 5.9540e-03 eta: 1 day, 17:34:00 time: 0.3964 data_time: 0.0150 memory: 17007 grad_norm: 7.0998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8548 loss: 1.8548 2022/07/28 02:43:57 - mmengine - INFO - Epoch(train) [80][2640/3757] lr: 5.9540e-03 eta: 1 day, 17:33:52 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 6.8124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1431 loss: 2.1431 2022/07/28 02:44:05 - mmengine - INFO - Epoch(train) [80][2660/3757] lr: 5.9540e-03 eta: 1 day, 17:33:44 time: 0.3915 data_time: 0.0142 memory: 17007 grad_norm: 6.9655 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1111 loss: 2.1111 2022/07/28 02:44:13 - mmengine - INFO - Epoch(train) [80][2680/3757] lr: 5.9540e-03 eta: 1 day, 17:33:36 time: 0.3962 data_time: 0.0148 memory: 17007 grad_norm: 6.8536 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0508 loss: 2.0508 2022/07/28 02:44:20 - mmengine - INFO - Epoch(train) [80][2700/3757] lr: 5.9540e-03 eta: 1 day, 17:33:28 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 6.9548 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1998 loss: 2.1998 2022/07/28 02:44:29 - mmengine - INFO - Epoch(train) [80][2720/3757] lr: 5.9540e-03 eta: 1 day, 17:33:20 time: 0.4023 data_time: 0.0185 memory: 17007 grad_norm: 7.3315 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3162 loss: 2.3162 2022/07/28 02:44:36 - mmengine - INFO - Epoch(train) [80][2740/3757] lr: 5.9540e-03 eta: 1 day, 17:33:12 time: 0.3910 data_time: 0.0141 memory: 17007 grad_norm: 7.1226 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0237 loss: 2.0237 2022/07/28 02:44:44 - mmengine - INFO - Epoch(train) [80][2760/3757] lr: 5.9540e-03 eta: 1 day, 17:33:04 time: 0.3948 data_time: 0.0151 memory: 17007 grad_norm: 6.6691 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1016 loss: 2.1016 2022/07/28 02:44:52 - mmengine - INFO - Epoch(train) [80][2780/3757] lr: 5.9540e-03 eta: 1 day, 17:32:56 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 7.1126 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1784 loss: 2.1784 2022/07/28 02:45:00 - mmengine - INFO - Epoch(train) [80][2800/3757] lr: 5.9540e-03 eta: 1 day, 17:32:48 time: 0.3973 data_time: 0.0160 memory: 17007 grad_norm: 7.0937 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9777 loss: 1.9777 2022/07/28 02:45:08 - mmengine - INFO - Epoch(train) [80][2820/3757] lr: 5.9540e-03 eta: 1 day, 17:32:40 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 6.8985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8977 loss: 1.8977 2022/07/28 02:45:16 - mmengine - INFO - Epoch(train) [80][2840/3757] lr: 5.9540e-03 eta: 1 day, 17:32:32 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 6.8771 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0728 loss: 2.0728 2022/07/28 02:45:24 - mmengine - INFO - Epoch(train) [80][2860/3757] lr: 5.9540e-03 eta: 1 day, 17:32:24 time: 0.3956 data_time: 0.0154 memory: 17007 grad_norm: 7.2171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1227 loss: 2.1227 2022/07/28 02:45:32 - mmengine - INFO - Epoch(train) [80][2880/3757] lr: 5.9540e-03 eta: 1 day, 17:32:16 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 6.9254 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9532 loss: 1.9532 2022/07/28 02:45:40 - mmengine - INFO - Epoch(train) [80][2900/3757] lr: 5.9540e-03 eta: 1 day, 17:32:08 time: 0.3998 data_time: 0.0172 memory: 17007 grad_norm: 6.9052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9988 loss: 1.9988 2022/07/28 02:45:48 - mmengine - INFO - Epoch(train) [80][2920/3757] lr: 5.9540e-03 eta: 1 day, 17:32:00 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 6.6793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9041 loss: 1.9041 2022/07/28 02:45:55 - mmengine - INFO - Epoch(train) [80][2940/3757] lr: 5.9540e-03 eta: 1 day, 17:31:52 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 6.9048 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3102 loss: 2.3102 2022/07/28 02:46:04 - mmengine - INFO - Epoch(train) [80][2960/3757] lr: 5.9540e-03 eta: 1 day, 17:31:44 time: 0.4009 data_time: 0.0164 memory: 17007 grad_norm: 7.2621 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1984 loss: 2.1984 2022/07/28 02:46:11 - mmengine - INFO - Epoch(train) [80][2980/3757] lr: 5.9540e-03 eta: 1 day, 17:31:36 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 6.9434 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9570 loss: 1.9570 2022/07/28 02:46:19 - mmengine - INFO - Epoch(train) [80][3000/3757] lr: 5.9540e-03 eta: 1 day, 17:31:28 time: 0.3998 data_time: 0.0156 memory: 17007 grad_norm: 6.5262 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8720 loss: 1.8720 2022/07/28 02:46:27 - mmengine - INFO - Epoch(train) [80][3020/3757] lr: 5.9540e-03 eta: 1 day, 17:31:20 time: 0.3924 data_time: 0.0139 memory: 17007 grad_norm: 7.1275 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2718 loss: 2.2718 2022/07/28 02:46:35 - mmengine - INFO - Epoch(train) [80][3040/3757] lr: 5.9540e-03 eta: 1 day, 17:31:12 time: 0.3924 data_time: 0.0152 memory: 17007 grad_norm: 6.5445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2454 loss: 2.2454 2022/07/28 02:46:43 - mmengine - INFO - Epoch(train) [80][3060/3757] lr: 5.9540e-03 eta: 1 day, 17:31:05 time: 0.4047 data_time: 0.0157 memory: 17007 grad_norm: 6.7583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0438 loss: 2.0438 2022/07/28 02:46:51 - mmengine - INFO - Epoch(train) [80][3080/3757] lr: 5.9540e-03 eta: 1 day, 17:30:57 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 6.8642 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1033 loss: 2.1033 2022/07/28 02:46:59 - mmengine - INFO - Epoch(train) [80][3100/3757] lr: 5.9540e-03 eta: 1 day, 17:30:49 time: 0.3983 data_time: 0.0149 memory: 17007 grad_norm: 6.6486 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9978 loss: 1.9978 2022/07/28 02:47:07 - mmengine - INFO - Epoch(train) [80][3120/3757] lr: 5.9540e-03 eta: 1 day, 17:30:41 time: 0.3928 data_time: 0.0167 memory: 17007 grad_norm: 6.9680 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2239 loss: 2.2239 2022/07/28 02:47:15 - mmengine - INFO - Epoch(train) [80][3140/3757] lr: 5.9540e-03 eta: 1 day, 17:30:33 time: 0.3923 data_time: 0.0138 memory: 17007 grad_norm: 7.1378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2172 loss: 2.2172 2022/07/28 02:47:23 - mmengine - INFO - Epoch(train) [80][3160/3757] lr: 5.9540e-03 eta: 1 day, 17:30:25 time: 0.4019 data_time: 0.0171 memory: 17007 grad_norm: 7.0663 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1279 loss: 2.1279 2022/07/28 02:47:31 - mmengine - INFO - Epoch(train) [80][3180/3757] lr: 5.9540e-03 eta: 1 day, 17:30:17 time: 0.3928 data_time: 0.0146 memory: 17007 grad_norm: 6.9868 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3401 loss: 2.3401 2022/07/28 02:47:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:47:39 - mmengine - INFO - Epoch(train) [80][3200/3757] lr: 5.9540e-03 eta: 1 day, 17:30:09 time: 0.3950 data_time: 0.0160 memory: 17007 grad_norm: 6.8647 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1815 loss: 2.1815 2022/07/28 02:47:46 - mmengine - INFO - Epoch(train) [80][3220/3757] lr: 5.9540e-03 eta: 1 day, 17:30:01 time: 0.3917 data_time: 0.0143 memory: 17007 grad_norm: 7.1137 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1563 loss: 2.1563 2022/07/28 02:47:54 - mmengine - INFO - Epoch(train) [80][3240/3757] lr: 5.9540e-03 eta: 1 day, 17:29:53 time: 0.3922 data_time: 0.0150 memory: 17007 grad_norm: 6.7351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9887 loss: 1.9887 2022/07/28 02:48:02 - mmengine - INFO - Epoch(train) [80][3260/3757] lr: 5.9540e-03 eta: 1 day, 17:29:45 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 6.9474 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7819 loss: 1.7819 2022/07/28 02:48:10 - mmengine - INFO - Epoch(train) [80][3280/3757] lr: 5.9540e-03 eta: 1 day, 17:29:37 time: 0.3992 data_time: 0.0156 memory: 17007 grad_norm: 7.0818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2696 loss: 2.2696 2022/07/28 02:48:20 - mmengine - INFO - Epoch(train) [80][3300/3757] lr: 5.9540e-03 eta: 1 day, 17:29:31 time: 0.4793 data_time: 0.0155 memory: 17007 grad_norm: 6.7510 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0357 loss: 2.0357 2022/07/28 02:48:28 - mmengine - INFO - Epoch(train) [80][3320/3757] lr: 5.9540e-03 eta: 1 day, 17:29:23 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 7.1199 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1804 loss: 2.1804 2022/07/28 02:48:36 - mmengine - INFO - Epoch(train) [80][3340/3757] lr: 5.9540e-03 eta: 1 day, 17:29:16 time: 0.4279 data_time: 0.0135 memory: 17007 grad_norm: 6.5894 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0852 loss: 2.0852 2022/07/28 02:48:44 - mmengine - INFO - Epoch(train) [80][3360/3757] lr: 5.9540e-03 eta: 1 day, 17:29:08 time: 0.3961 data_time: 0.0161 memory: 17007 grad_norm: 6.7087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9777 loss: 1.9777 2022/07/28 02:48:52 - mmengine - INFO - Epoch(train) [80][3380/3757] lr: 5.9540e-03 eta: 1 day, 17:29:00 time: 0.3916 data_time: 0.0155 memory: 17007 grad_norm: 6.8139 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0952 loss: 2.0952 2022/07/28 02:49:00 - mmengine - INFO - Epoch(train) [80][3400/3757] lr: 5.9540e-03 eta: 1 day, 17:28:52 time: 0.4027 data_time: 0.0160 memory: 17007 grad_norm: 6.9741 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0061 loss: 2.0061 2022/07/28 02:49:08 - mmengine - INFO - Epoch(train) [80][3420/3757] lr: 5.9540e-03 eta: 1 day, 17:28:44 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 7.0349 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0524 loss: 2.0524 2022/07/28 02:49:16 - mmengine - INFO - Epoch(train) [80][3440/3757] lr: 5.9540e-03 eta: 1 day, 17:28:36 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 6.9102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2423 loss: 2.2423 2022/07/28 02:49:24 - mmengine - INFO - Epoch(train) [80][3460/3757] lr: 5.9540e-03 eta: 1 day, 17:28:28 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 7.1877 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3117 loss: 2.3117 2022/07/28 02:49:32 - mmengine - INFO - Epoch(train) [80][3480/3757] lr: 5.9540e-03 eta: 1 day, 17:28:20 time: 0.3915 data_time: 0.0150 memory: 17007 grad_norm: 6.9724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8364 loss: 1.8364 2022/07/28 02:49:40 - mmengine - INFO - Epoch(train) [80][3500/3757] lr: 5.9540e-03 eta: 1 day, 17:28:12 time: 0.3968 data_time: 0.0130 memory: 17007 grad_norm: 6.8198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0554 loss: 2.0554 2022/07/28 02:49:47 - mmengine - INFO - Epoch(train) [80][3520/3757] lr: 5.9540e-03 eta: 1 day, 17:28:04 time: 0.3948 data_time: 0.0176 memory: 17007 grad_norm: 7.1445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0789 loss: 2.0789 2022/07/28 02:49:59 - mmengine - INFO - Epoch(train) [80][3540/3757] lr: 5.9540e-03 eta: 1 day, 17:28:01 time: 0.5935 data_time: 0.0170 memory: 17007 grad_norm: 7.0542 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1213 loss: 2.1213 2022/07/28 02:50:07 - mmengine - INFO - Epoch(train) [80][3560/3757] lr: 5.9540e-03 eta: 1 day, 17:27:53 time: 0.3946 data_time: 0.0142 memory: 17007 grad_norm: 7.0209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9392 loss: 1.9392 2022/07/28 02:50:16 - mmengine - INFO - Epoch(train) [80][3580/3757] lr: 5.9540e-03 eta: 1 day, 17:27:45 time: 0.4139 data_time: 0.0142 memory: 17007 grad_norm: 6.9891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0554 loss: 2.0554 2022/07/28 02:50:26 - mmengine - INFO - Epoch(train) [80][3600/3757] lr: 5.9540e-03 eta: 1 day, 17:27:41 time: 0.5341 data_time: 0.0164 memory: 17007 grad_norm: 6.9799 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3002 loss: 2.3002 2022/07/28 02:50:34 - mmengine - INFO - Epoch(train) [80][3620/3757] lr: 5.9540e-03 eta: 1 day, 17:27:33 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 6.9494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0797 loss: 2.0797 2022/07/28 02:50:43 - mmengine - INFO - Epoch(train) [80][3640/3757] lr: 5.9540e-03 eta: 1 day, 17:27:25 time: 0.4262 data_time: 0.0147 memory: 17007 grad_norm: 7.1003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2516 loss: 2.2516 2022/07/28 02:50:51 - mmengine - INFO - Epoch(train) [80][3660/3757] lr: 5.9540e-03 eta: 1 day, 17:27:17 time: 0.3925 data_time: 0.0153 memory: 17007 grad_norm: 6.8548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8248 loss: 1.8248 2022/07/28 02:50:59 - mmengine - INFO - Epoch(train) [80][3680/3757] lr: 5.9540e-03 eta: 1 day, 17:27:10 time: 0.4092 data_time: 0.0143 memory: 17007 grad_norm: 6.9072 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0069 loss: 2.0069 2022/07/28 02:51:07 - mmengine - INFO - Epoch(train) [80][3700/3757] lr: 5.9540e-03 eta: 1 day, 17:27:02 time: 0.3947 data_time: 0.0159 memory: 17007 grad_norm: 7.0088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1466 loss: 2.1466 2022/07/28 02:51:14 - mmengine - INFO - Epoch(train) [80][3720/3757] lr: 5.9540e-03 eta: 1 day, 17:26:54 time: 0.3928 data_time: 0.0126 memory: 17007 grad_norm: 6.8532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2444 loss: 2.2444 2022/07/28 02:51:23 - mmengine - INFO - Epoch(train) [80][3740/3757] lr: 5.9540e-03 eta: 1 day, 17:26:46 time: 0.4087 data_time: 0.0164 memory: 17007 grad_norm: 6.8047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0292 loss: 2.0292 2022/07/28 02:51:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:51:29 - mmengine - INFO - Epoch(train) [80][3757/3757] lr: 5.9540e-03 eta: 1 day, 17:26:46 time: 0.3886 data_time: 0.0134 memory: 17007 grad_norm: 6.9429 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.8825 loss: 1.8825 2022/07/28 02:51:29 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/07/28 02:51:36 - mmengine - INFO - Epoch(val) [80][20/310] eta: 0:01:05 time: 0.2272 data_time: 0.1226 memory: 3963 2022/07/28 02:51:39 - mmengine - INFO - Epoch(val) [80][40/310] eta: 0:00:43 time: 0.1617 data_time: 0.0549 memory: 3963 2022/07/28 02:51:43 - mmengine - INFO - Epoch(val) [80][60/310] eta: 0:00:42 time: 0.1686 data_time: 0.0653 memory: 3963 2022/07/28 02:51:46 - mmengine - INFO - Epoch(val) [80][80/310] eta: 0:00:40 time: 0.1748 data_time: 0.0681 memory: 3963 2022/07/28 02:51:49 - mmengine - INFO - Epoch(val) [80][100/310] eta: 0:00:33 time: 0.1574 data_time: 0.0537 memory: 3963 2022/07/28 02:51:53 - mmengine - INFO - Epoch(val) [80][120/310] eta: 0:00:31 time: 0.1655 data_time: 0.0635 memory: 3963 2022/07/28 02:51:57 - mmengine - INFO - Epoch(val) [80][140/310] eta: 0:00:32 time: 0.1907 data_time: 0.0843 memory: 3963 2022/07/28 02:52:00 - mmengine - INFO - Epoch(val) [80][160/310] eta: 0:00:28 time: 0.1892 data_time: 0.0853 memory: 3963 2022/07/28 02:52:04 - mmengine - INFO - Epoch(val) [80][180/310] eta: 0:00:21 time: 0.1656 data_time: 0.0617 memory: 3963 2022/07/28 02:52:07 - mmengine - INFO - Epoch(val) [80][200/310] eta: 0:00:17 time: 0.1567 data_time: 0.0522 memory: 3963 2022/07/28 02:52:10 - mmengine - INFO - Epoch(val) [80][220/310] eta: 0:00:14 time: 0.1617 data_time: 0.0588 memory: 3963 2022/07/28 02:52:13 - mmengine - INFO - Epoch(val) [80][240/310] eta: 0:00:12 time: 0.1721 data_time: 0.0665 memory: 3963 2022/07/28 02:52:17 - mmengine - INFO - Epoch(val) [80][260/310] eta: 0:00:08 time: 0.1687 data_time: 0.0647 memory: 3963 2022/07/28 02:52:21 - mmengine - INFO - Epoch(val) [80][280/310] eta: 0:00:05 time: 0.1847 data_time: 0.0801 memory: 3963 2022/07/28 02:52:24 - mmengine - INFO - Epoch(val) [80][300/310] eta: 0:00:01 time: 0.1584 data_time: 0.0537 memory: 3963 2022/07/28 02:52:29 - mmengine - INFO - Epoch(val) [80][310/310] acc/top1: 0.5781 acc/top5: 0.8097 acc/mean1: 0.5780 2022/07/28 02:52:30 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/best_acc/top1_epoch_61.pth is removed 2022/07/28 02:52:32 - mmengine - INFO - The best checkpoint with 0.5781 acc/top1 at 81 epoch is saved to best_acc/top1_epoch_81.pth. 2022/07/28 02:52:40 - mmengine - INFO - Epoch(train) [81][20/3757] lr: 5.8682e-03 eta: 1 day, 17:26:24 time: 0.4381 data_time: 0.0597 memory: 17007 grad_norm: 6.4622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9648 loss: 1.9648 2022/07/28 02:52:48 - mmengine - INFO - Epoch(train) [81][40/3757] lr: 5.8682e-03 eta: 1 day, 17:26:16 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 10.3260 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1284 loss: 2.1284 2022/07/28 02:52:56 - mmengine - INFO - Epoch(train) [81][60/3757] lr: 5.8682e-03 eta: 1 day, 17:26:08 time: 0.4002 data_time: 0.0137 memory: 17007 grad_norm: 7.0856 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9884 loss: 1.9884 2022/07/28 02:53:04 - mmengine - INFO - Epoch(train) [81][80/3757] lr: 5.8682e-03 eta: 1 day, 17:26:00 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 6.9669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1010 loss: 2.1010 2022/07/28 02:53:12 - mmengine - INFO - Epoch(train) [81][100/3757] lr: 5.8682e-03 eta: 1 day, 17:25:52 time: 0.3933 data_time: 0.0140 memory: 17007 grad_norm: 6.9017 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9419 loss: 1.9419 2022/07/28 02:53:20 - mmengine - INFO - Epoch(train) [81][120/3757] lr: 5.8682e-03 eta: 1 day, 17:25:44 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 6.9828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2505 loss: 2.2505 2022/07/28 02:53:28 - mmengine - INFO - Epoch(train) [81][140/3757] lr: 5.8682e-03 eta: 1 day, 17:25:36 time: 0.3916 data_time: 0.0135 memory: 17007 grad_norm: 7.2529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8617 loss: 1.8617 2022/07/28 02:53:36 - mmengine - INFO - Epoch(train) [81][160/3757] lr: 5.8682e-03 eta: 1 day, 17:25:28 time: 0.3986 data_time: 0.0169 memory: 17007 grad_norm: 6.6501 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.1490 loss: 2.1490 2022/07/28 02:53:44 - mmengine - INFO - Epoch(train) [81][180/3757] lr: 5.8682e-03 eta: 1 day, 17:25:20 time: 0.3922 data_time: 0.0123 memory: 17007 grad_norm: 7.0859 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2053 loss: 2.2053 2022/07/28 02:53:52 - mmengine - INFO - Epoch(train) [81][200/3757] lr: 5.8682e-03 eta: 1 day, 17:25:12 time: 0.4070 data_time: 0.0162 memory: 17007 grad_norm: 7.2983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0232 loss: 2.0232 2022/07/28 02:54:00 - mmengine - INFO - Epoch(train) [81][220/3757] lr: 5.8682e-03 eta: 1 day, 17:25:04 time: 0.3925 data_time: 0.0128 memory: 17007 grad_norm: 6.8300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0500 loss: 2.0500 2022/07/28 02:54:07 - mmengine - INFO - Epoch(train) [81][240/3757] lr: 5.8682e-03 eta: 1 day, 17:24:56 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 6.7683 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9883 loss: 1.9883 2022/07/28 02:54:15 - mmengine - INFO - Epoch(train) [81][260/3757] lr: 5.8682e-03 eta: 1 day, 17:24:48 time: 0.3948 data_time: 0.0135 memory: 17007 grad_norm: 7.2658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0459 loss: 2.0459 2022/07/28 02:54:23 - mmengine - INFO - Epoch(train) [81][280/3757] lr: 5.8682e-03 eta: 1 day, 17:24:40 time: 0.3933 data_time: 0.0160 memory: 17007 grad_norm: 7.1307 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9376 loss: 1.9376 2022/07/28 02:54:31 - mmengine - INFO - Epoch(train) [81][300/3757] lr: 5.8682e-03 eta: 1 day, 17:24:32 time: 0.3976 data_time: 0.0139 memory: 17007 grad_norm: 6.9838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8576 loss: 1.8576 2022/07/28 02:54:39 - mmengine - INFO - Epoch(train) [81][320/3757] lr: 5.8682e-03 eta: 1 day, 17:24:24 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 7.0020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2327 loss: 2.2327 2022/07/28 02:54:47 - mmengine - INFO - Epoch(train) [81][340/3757] lr: 5.8682e-03 eta: 1 day, 17:24:16 time: 0.3922 data_time: 0.0128 memory: 17007 grad_norm: 6.8079 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0344 loss: 2.0344 2022/07/28 02:54:55 - mmengine - INFO - Epoch(train) [81][360/3757] lr: 5.8682e-03 eta: 1 day, 17:24:08 time: 0.3963 data_time: 0.0161 memory: 17007 grad_norm: 6.8066 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8156 loss: 1.8156 2022/07/28 02:55:03 - mmengine - INFO - Epoch(train) [81][380/3757] lr: 5.8682e-03 eta: 1 day, 17:24:00 time: 0.3949 data_time: 0.0123 memory: 17007 grad_norm: 6.7112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8718 loss: 1.8718 2022/07/28 02:55:11 - mmengine - INFO - Epoch(train) [81][400/3757] lr: 5.8682e-03 eta: 1 day, 17:23:52 time: 0.3963 data_time: 0.0171 memory: 17007 grad_norm: 7.0356 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0524 loss: 2.0524 2022/07/28 02:55:19 - mmengine - INFO - Epoch(train) [81][420/3757] lr: 5.8682e-03 eta: 1 day, 17:23:44 time: 0.3932 data_time: 0.0124 memory: 17007 grad_norm: 7.0047 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0236 loss: 2.0236 2022/07/28 02:55:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 02:55:26 - mmengine - INFO - Epoch(train) [81][440/3757] lr: 5.8682e-03 eta: 1 day, 17:23:36 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 7.4054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2097 loss: 2.2097 2022/07/28 02:55:34 - mmengine - INFO - Epoch(train) [81][460/3757] lr: 5.8682e-03 eta: 1 day, 17:23:28 time: 0.3970 data_time: 0.0158 memory: 17007 grad_norm: 7.1968 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4427 loss: 2.4427 2022/07/28 02:55:42 - mmengine - INFO - Epoch(train) [81][480/3757] lr: 5.8682e-03 eta: 1 day, 17:23:20 time: 0.3990 data_time: 0.0157 memory: 17007 grad_norm: 7.0102 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9243 loss: 1.9243 2022/07/28 02:55:50 - mmengine - INFO - Epoch(train) [81][500/3757] lr: 5.8682e-03 eta: 1 day, 17:23:12 time: 0.3964 data_time: 0.0146 memory: 17007 grad_norm: 6.7616 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2352 loss: 2.2352 2022/07/28 02:55:58 - mmengine - INFO - Epoch(train) [81][520/3757] lr: 5.8682e-03 eta: 1 day, 17:23:04 time: 0.3934 data_time: 0.0156 memory: 17007 grad_norm: 7.1629 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1622 loss: 2.1622 2022/07/28 02:56:06 - mmengine - INFO - Epoch(train) [81][540/3757] lr: 5.8682e-03 eta: 1 day, 17:22:56 time: 0.3924 data_time: 0.0133 memory: 17007 grad_norm: 6.9179 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8226 loss: 1.8226 2022/07/28 02:56:14 - mmengine - INFO - Epoch(train) [81][560/3757] lr: 5.8682e-03 eta: 1 day, 17:22:48 time: 0.3981 data_time: 0.0161 memory: 17007 grad_norm: 6.9958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3034 loss: 2.3034 2022/07/28 02:56:22 - mmengine - INFO - Epoch(train) [81][580/3757] lr: 5.8682e-03 eta: 1 day, 17:22:40 time: 0.3908 data_time: 0.0124 memory: 17007 grad_norm: 7.3241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2792 loss: 2.2792 2022/07/28 02:56:30 - mmengine - INFO - Epoch(train) [81][600/3757] lr: 5.8682e-03 eta: 1 day, 17:22:32 time: 0.4036 data_time: 0.0164 memory: 17007 grad_norm: 6.8070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9632 loss: 1.9632 2022/07/28 02:56:38 - mmengine - INFO - Epoch(train) [81][620/3757] lr: 5.8682e-03 eta: 1 day, 17:22:24 time: 0.3920 data_time: 0.0126 memory: 17007 grad_norm: 6.8633 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0621 loss: 2.0621 2022/07/28 02:56:46 - mmengine - INFO - Epoch(train) [81][640/3757] lr: 5.8682e-03 eta: 1 day, 17:22:16 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 7.2747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1446 loss: 2.1446 2022/07/28 02:56:54 - mmengine - INFO - Epoch(train) [81][660/3757] lr: 5.8682e-03 eta: 1 day, 17:22:08 time: 0.3965 data_time: 0.0135 memory: 17007 grad_norm: 7.0933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9729 loss: 1.9729 2022/07/28 02:57:02 - mmengine - INFO - Epoch(train) [81][680/3757] lr: 5.8682e-03 eta: 1 day, 17:22:00 time: 0.3947 data_time: 0.0159 memory: 17007 grad_norm: 7.2694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8582 loss: 1.8582 2022/07/28 02:57:09 - mmengine - INFO - Epoch(train) [81][700/3757] lr: 5.8682e-03 eta: 1 day, 17:21:52 time: 0.3979 data_time: 0.0130 memory: 17007 grad_norm: 7.0242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/07/28 02:57:17 - mmengine - INFO - Epoch(train) [81][720/3757] lr: 5.8682e-03 eta: 1 day, 17:21:44 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 7.5273 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2068 loss: 2.2068 2022/07/28 02:57:25 - mmengine - INFO - Epoch(train) [81][740/3757] lr: 5.8682e-03 eta: 1 day, 17:21:36 time: 0.3929 data_time: 0.0111 memory: 17007 grad_norm: 7.0346 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1830 loss: 2.1830 2022/07/28 02:57:33 - mmengine - INFO - Epoch(train) [81][760/3757] lr: 5.8682e-03 eta: 1 day, 17:21:28 time: 0.3953 data_time: 0.0152 memory: 17007 grad_norm: 6.8215 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3180 loss: 2.3180 2022/07/28 02:57:41 - mmengine - INFO - Epoch(train) [81][780/3757] lr: 5.8682e-03 eta: 1 day, 17:21:20 time: 0.3991 data_time: 0.0142 memory: 17007 grad_norm: 6.8861 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2348 loss: 2.2348 2022/07/28 02:57:49 - mmengine - INFO - Epoch(train) [81][800/3757] lr: 5.8682e-03 eta: 1 day, 17:21:12 time: 0.3933 data_time: 0.0156 memory: 17007 grad_norm: 6.8996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7540 loss: 1.7540 2022/07/28 02:57:57 - mmengine - INFO - Epoch(train) [81][820/3757] lr: 5.8682e-03 eta: 1 day, 17:21:04 time: 0.3929 data_time: 0.0135 memory: 17007 grad_norm: 7.0182 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2789 loss: 2.2789 2022/07/28 02:58:05 - mmengine - INFO - Epoch(train) [81][840/3757] lr: 5.8682e-03 eta: 1 day, 17:20:56 time: 0.4010 data_time: 0.0159 memory: 17007 grad_norm: 6.9633 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0621 loss: 2.0621 2022/07/28 02:58:13 - mmengine - INFO - Epoch(train) [81][860/3757] lr: 5.8682e-03 eta: 1 day, 17:20:48 time: 0.3959 data_time: 0.0152 memory: 17007 grad_norm: 6.9863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8790 loss: 1.8790 2022/07/28 02:58:21 - mmengine - INFO - Epoch(train) [81][880/3757] lr: 5.8682e-03 eta: 1 day, 17:20:40 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 6.8009 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2942 loss: 2.2942 2022/07/28 02:58:29 - mmengine - INFO - Epoch(train) [81][900/3757] lr: 5.8682e-03 eta: 1 day, 17:20:32 time: 0.3928 data_time: 0.0141 memory: 17007 grad_norm: 6.9553 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0961 loss: 2.0961 2022/07/28 02:58:37 - mmengine - INFO - Epoch(train) [81][920/3757] lr: 5.8682e-03 eta: 1 day, 17:20:25 time: 0.4259 data_time: 0.0158 memory: 17007 grad_norm: 7.0756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9126 loss: 1.9126 2022/07/28 02:58:45 - mmengine - INFO - Epoch(train) [81][940/3757] lr: 5.8682e-03 eta: 1 day, 17:20:17 time: 0.3932 data_time: 0.0125 memory: 17007 grad_norm: 6.7949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0104 loss: 2.0104 2022/07/28 02:58:53 - mmengine - INFO - Epoch(train) [81][960/3757] lr: 5.8682e-03 eta: 1 day, 17:20:09 time: 0.3980 data_time: 0.0150 memory: 17007 grad_norm: 7.2580 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0628 loss: 2.0628 2022/07/28 02:59:01 - mmengine - INFO - Epoch(train) [81][980/3757] lr: 5.8682e-03 eta: 1 day, 17:20:01 time: 0.3924 data_time: 0.0126 memory: 17007 grad_norm: 7.1173 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0729 loss: 2.0729 2022/07/28 02:59:09 - mmengine - INFO - Epoch(train) [81][1000/3757] lr: 5.8682e-03 eta: 1 day, 17:19:53 time: 0.3948 data_time: 0.0154 memory: 17007 grad_norm: 7.1226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8761 loss: 1.8761 2022/07/28 02:59:17 - mmengine - INFO - Epoch(train) [81][1020/3757] lr: 5.8682e-03 eta: 1 day, 17:19:45 time: 0.3912 data_time: 0.0141 memory: 17007 grad_norm: 7.2457 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0018 loss: 2.0018 2022/07/28 02:59:24 - mmengine - INFO - Epoch(train) [81][1040/3757] lr: 5.8682e-03 eta: 1 day, 17:19:37 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 6.8517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0725 loss: 2.0725 2022/07/28 02:59:32 - mmengine - INFO - Epoch(train) [81][1060/3757] lr: 5.8682e-03 eta: 1 day, 17:19:29 time: 0.3931 data_time: 0.0128 memory: 17007 grad_norm: 6.9317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7716 loss: 1.7716 2022/07/28 02:59:40 - mmengine - INFO - Epoch(train) [81][1080/3757] lr: 5.8682e-03 eta: 1 day, 17:19:21 time: 0.3947 data_time: 0.0160 memory: 17007 grad_norm: 6.7700 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1255 loss: 2.1255 2022/07/28 02:59:48 - mmengine - INFO - Epoch(train) [81][1100/3757] lr: 5.8682e-03 eta: 1 day, 17:19:13 time: 0.3923 data_time: 0.0122 memory: 17007 grad_norm: 6.8319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9099 loss: 1.9099 2022/07/28 02:59:56 - mmengine - INFO - Epoch(train) [81][1120/3757] lr: 5.8682e-03 eta: 1 day, 17:19:05 time: 0.3991 data_time: 0.0165 memory: 17007 grad_norm: 6.8057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9506 loss: 1.9506 2022/07/28 03:00:04 - mmengine - INFO - Epoch(train) [81][1140/3757] lr: 5.8682e-03 eta: 1 day, 17:18:57 time: 0.3923 data_time: 0.0131 memory: 17007 grad_norm: 6.8478 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9779 loss: 1.9779 2022/07/28 03:00:12 - mmengine - INFO - Epoch(train) [81][1160/3757] lr: 5.8682e-03 eta: 1 day, 17:18:49 time: 0.3961 data_time: 0.0160 memory: 17007 grad_norm: 6.6016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8001 loss: 1.8001 2022/07/28 03:00:20 - mmengine - INFO - Epoch(train) [81][1180/3757] lr: 5.8682e-03 eta: 1 day, 17:18:41 time: 0.3949 data_time: 0.0125 memory: 17007 grad_norm: 7.2047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2674 loss: 2.2674 2022/07/28 03:00:28 - mmengine - INFO - Epoch(train) [81][1200/3757] lr: 5.8682e-03 eta: 1 day, 17:18:33 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 7.3110 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1181 loss: 2.1181 2022/07/28 03:00:36 - mmengine - INFO - Epoch(train) [81][1220/3757] lr: 5.8682e-03 eta: 1 day, 17:18:25 time: 0.3933 data_time: 0.0136 memory: 17007 grad_norm: 7.1403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0291 loss: 2.0291 2022/07/28 03:00:44 - mmengine - INFO - Epoch(train) [81][1240/3757] lr: 5.8682e-03 eta: 1 day, 17:18:17 time: 0.3983 data_time: 0.0167 memory: 17007 grad_norm: 7.1378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3354 loss: 2.3354 2022/07/28 03:00:51 - mmengine - INFO - Epoch(train) [81][1260/3757] lr: 5.8682e-03 eta: 1 day, 17:18:09 time: 0.3936 data_time: 0.0143 memory: 17007 grad_norm: 6.9240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1165 loss: 2.1165 2022/07/28 03:00:59 - mmengine - INFO - Epoch(train) [81][1280/3757] lr: 5.8682e-03 eta: 1 day, 17:18:01 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 6.8903 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1122 loss: 2.1122 2022/07/28 03:01:07 - mmengine - INFO - Epoch(train) [81][1300/3757] lr: 5.8682e-03 eta: 1 day, 17:17:53 time: 0.4072 data_time: 0.0122 memory: 17007 grad_norm: 6.9431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1770 loss: 2.1770 2022/07/28 03:01:15 - mmengine - INFO - Epoch(train) [81][1320/3757] lr: 5.8682e-03 eta: 1 day, 17:17:45 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 7.1953 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1869 loss: 2.1869 2022/07/28 03:01:24 - mmengine - INFO - Epoch(train) [81][1340/3757] lr: 5.8682e-03 eta: 1 day, 17:17:38 time: 0.4070 data_time: 0.0138 memory: 17007 grad_norm: 7.1578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1721 loss: 2.1721 2022/07/28 03:01:31 - mmengine - INFO - Epoch(train) [81][1360/3757] lr: 5.8682e-03 eta: 1 day, 17:17:30 time: 0.3975 data_time: 0.0174 memory: 17007 grad_norm: 7.2126 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0401 loss: 2.0401 2022/07/28 03:01:39 - mmengine - INFO - Epoch(train) [81][1380/3757] lr: 5.8682e-03 eta: 1 day, 17:17:22 time: 0.3934 data_time: 0.0127 memory: 17007 grad_norm: 7.0261 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1049 loss: 2.1049 2022/07/28 03:01:47 - mmengine - INFO - Epoch(train) [81][1400/3757] lr: 5.8682e-03 eta: 1 day, 17:17:14 time: 0.3991 data_time: 0.0163 memory: 17007 grad_norm: 6.8120 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0239 loss: 2.0239 2022/07/28 03:01:55 - mmengine - INFO - Epoch(train) [81][1420/3757] lr: 5.8682e-03 eta: 1 day, 17:17:06 time: 0.3935 data_time: 0.0125 memory: 17007 grad_norm: 7.0712 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1767 loss: 2.1767 2022/07/28 03:02:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:02:03 - mmengine - INFO - Epoch(train) [81][1440/3757] lr: 5.8682e-03 eta: 1 day, 17:16:58 time: 0.3987 data_time: 0.0147 memory: 17007 grad_norm: 7.2085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9151 loss: 1.9151 2022/07/28 03:02:11 - mmengine - INFO - Epoch(train) [81][1460/3757] lr: 5.8682e-03 eta: 1 day, 17:16:50 time: 0.3945 data_time: 0.0134 memory: 17007 grad_norm: 6.9918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0033 loss: 2.0033 2022/07/28 03:02:19 - mmengine - INFO - Epoch(train) [81][1480/3757] lr: 5.8682e-03 eta: 1 day, 17:16:42 time: 0.3966 data_time: 0.0166 memory: 17007 grad_norm: 7.0899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1721 loss: 2.1721 2022/07/28 03:02:27 - mmengine - INFO - Epoch(train) [81][1500/3757] lr: 5.8682e-03 eta: 1 day, 17:16:34 time: 0.3935 data_time: 0.0129 memory: 17007 grad_norm: 7.0852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1267 loss: 2.1267 2022/07/28 03:02:35 - mmengine - INFO - Epoch(train) [81][1520/3757] lr: 5.8682e-03 eta: 1 day, 17:16:26 time: 0.3965 data_time: 0.0165 memory: 17007 grad_norm: 6.8385 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0130 loss: 2.0130 2022/07/28 03:02:43 - mmengine - INFO - Epoch(train) [81][1540/3757] lr: 5.8682e-03 eta: 1 day, 17:16:18 time: 0.3960 data_time: 0.0128 memory: 17007 grad_norm: 6.8458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9822 loss: 1.9822 2022/07/28 03:02:51 - mmengine - INFO - Epoch(train) [81][1560/3757] lr: 5.8682e-03 eta: 1 day, 17:16:10 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 7.0523 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1989 loss: 2.1989 2022/07/28 03:02:59 - mmengine - INFO - Epoch(train) [81][1580/3757] lr: 5.8682e-03 eta: 1 day, 17:16:02 time: 0.3921 data_time: 0.0132 memory: 17007 grad_norm: 6.9848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1871 loss: 2.1871 2022/07/28 03:03:06 - mmengine - INFO - Epoch(train) [81][1600/3757] lr: 5.8682e-03 eta: 1 day, 17:15:54 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 7.0668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0694 loss: 2.0694 2022/07/28 03:03:14 - mmengine - INFO - Epoch(train) [81][1620/3757] lr: 5.8682e-03 eta: 1 day, 17:15:46 time: 0.3996 data_time: 0.0144 memory: 17007 grad_norm: 7.0295 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1175 loss: 2.1175 2022/07/28 03:03:22 - mmengine - INFO - Epoch(train) [81][1640/3757] lr: 5.8682e-03 eta: 1 day, 17:15:38 time: 0.3958 data_time: 0.0166 memory: 17007 grad_norm: 6.9220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1322 loss: 2.1322 2022/07/28 03:03:30 - mmengine - INFO - Epoch(train) [81][1660/3757] lr: 5.8682e-03 eta: 1 day, 17:15:30 time: 0.3943 data_time: 0.0148 memory: 17007 grad_norm: 6.8282 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8796 loss: 1.8796 2022/07/28 03:03:38 - mmengine - INFO - Epoch(train) [81][1680/3757] lr: 5.8682e-03 eta: 1 day, 17:15:22 time: 0.3969 data_time: 0.0159 memory: 17007 grad_norm: 7.2672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2783 loss: 2.2783 2022/07/28 03:03:46 - mmengine - INFO - Epoch(train) [81][1700/3757] lr: 5.8682e-03 eta: 1 day, 17:15:14 time: 0.3929 data_time: 0.0136 memory: 17007 grad_norm: 6.9754 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1482 loss: 2.1482 2022/07/28 03:03:54 - mmengine - INFO - Epoch(train) [81][1720/3757] lr: 5.8682e-03 eta: 1 day, 17:15:06 time: 0.3995 data_time: 0.0170 memory: 17007 grad_norm: 7.1904 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1752 loss: 2.1752 2022/07/28 03:04:02 - mmengine - INFO - Epoch(train) [81][1740/3757] lr: 5.8682e-03 eta: 1 day, 17:14:58 time: 0.3937 data_time: 0.0133 memory: 17007 grad_norm: 7.3523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2640 loss: 2.2640 2022/07/28 03:04:10 - mmengine - INFO - Epoch(train) [81][1760/3757] lr: 5.8682e-03 eta: 1 day, 17:14:50 time: 0.3964 data_time: 0.0157 memory: 17007 grad_norm: 6.7830 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0115 loss: 2.0115 2022/07/28 03:04:18 - mmengine - INFO - Epoch(train) [81][1780/3757] lr: 5.8682e-03 eta: 1 day, 17:14:42 time: 0.3913 data_time: 0.0140 memory: 17007 grad_norm: 6.9525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2340 loss: 2.2340 2022/07/28 03:04:26 - mmengine - INFO - Epoch(train) [81][1800/3757] lr: 5.8682e-03 eta: 1 day, 17:14:34 time: 0.3940 data_time: 0.0171 memory: 17007 grad_norm: 6.8440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3177 loss: 2.3177 2022/07/28 03:04:34 - mmengine - INFO - Epoch(train) [81][1820/3757] lr: 5.8682e-03 eta: 1 day, 17:14:26 time: 0.3955 data_time: 0.0137 memory: 17007 grad_norm: 7.1536 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9922 loss: 1.9922 2022/07/28 03:04:41 - mmengine - INFO - Epoch(train) [81][1840/3757] lr: 5.8682e-03 eta: 1 day, 17:14:18 time: 0.3952 data_time: 0.0150 memory: 17007 grad_norm: 7.0603 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9427 loss: 1.9427 2022/07/28 03:04:49 - mmengine - INFO - Epoch(train) [81][1860/3757] lr: 5.8682e-03 eta: 1 day, 17:14:10 time: 0.3929 data_time: 0.0135 memory: 17007 grad_norm: 6.8893 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3331 loss: 2.3331 2022/07/28 03:04:57 - mmengine - INFO - Epoch(train) [81][1880/3757] lr: 5.8682e-03 eta: 1 day, 17:14:02 time: 0.3976 data_time: 0.0164 memory: 17007 grad_norm: 7.1067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7191 loss: 1.7191 2022/07/28 03:05:05 - mmengine - INFO - Epoch(train) [81][1900/3757] lr: 5.8682e-03 eta: 1 day, 17:13:54 time: 0.3937 data_time: 0.0124 memory: 17007 grad_norm: 7.1851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1703 loss: 2.1703 2022/07/28 03:05:13 - mmengine - INFO - Epoch(train) [81][1920/3757] lr: 5.8682e-03 eta: 1 day, 17:13:46 time: 0.3974 data_time: 0.0156 memory: 17007 grad_norm: 6.8391 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2328 loss: 2.2328 2022/07/28 03:05:21 - mmengine - INFO - Epoch(train) [81][1940/3757] lr: 5.8682e-03 eta: 1 day, 17:13:38 time: 0.3958 data_time: 0.0144 memory: 17007 grad_norm: 7.0291 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2512 loss: 2.2512 2022/07/28 03:05:29 - mmengine - INFO - Epoch(train) [81][1960/3757] lr: 5.8682e-03 eta: 1 day, 17:13:30 time: 0.3933 data_time: 0.0148 memory: 17007 grad_norm: 7.0631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1384 loss: 2.1384 2022/07/28 03:05:37 - mmengine - INFO - Epoch(train) [81][1980/3757] lr: 5.8682e-03 eta: 1 day, 17:13:22 time: 0.3926 data_time: 0.0141 memory: 17007 grad_norm: 7.0044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1375 loss: 2.1375 2022/07/28 03:05:45 - mmengine - INFO - Epoch(train) [81][2000/3757] lr: 5.8682e-03 eta: 1 day, 17:13:14 time: 0.3966 data_time: 0.0167 memory: 17007 grad_norm: 6.9847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1611 loss: 2.1611 2022/07/28 03:05:53 - mmengine - INFO - Epoch(train) [81][2020/3757] lr: 5.8682e-03 eta: 1 day, 17:13:06 time: 0.3950 data_time: 0.0135 memory: 17007 grad_norm: 6.8212 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9889 loss: 1.9889 2022/07/28 03:06:01 - mmengine - INFO - Epoch(train) [81][2040/3757] lr: 5.8682e-03 eta: 1 day, 17:12:59 time: 0.4101 data_time: 0.0167 memory: 17007 grad_norm: 6.9285 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1997 loss: 2.1997 2022/07/28 03:06:09 - mmengine - INFO - Epoch(train) [81][2060/3757] lr: 5.8682e-03 eta: 1 day, 17:12:50 time: 0.3916 data_time: 0.0139 memory: 17007 grad_norm: 7.3127 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9303 loss: 1.9303 2022/07/28 03:06:17 - mmengine - INFO - Epoch(train) [81][2080/3757] lr: 5.8682e-03 eta: 1 day, 17:12:42 time: 0.3952 data_time: 0.0166 memory: 17007 grad_norm: 7.0286 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9201 loss: 1.9201 2022/07/28 03:06:25 - mmengine - INFO - Epoch(train) [81][2100/3757] lr: 5.8682e-03 eta: 1 day, 17:12:35 time: 0.4157 data_time: 0.0154 memory: 17007 grad_norm: 7.0438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8216 loss: 1.8216 2022/07/28 03:06:33 - mmengine - INFO - Epoch(train) [81][2120/3757] lr: 5.8682e-03 eta: 1 day, 17:12:27 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 7.1152 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0658 loss: 2.0658 2022/07/28 03:06:41 - mmengine - INFO - Epoch(train) [81][2140/3757] lr: 5.8682e-03 eta: 1 day, 17:12:19 time: 0.3998 data_time: 0.0141 memory: 17007 grad_norm: 7.0942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9876 loss: 1.9876 2022/07/28 03:06:49 - mmengine - INFO - Epoch(train) [81][2160/3757] lr: 5.8682e-03 eta: 1 day, 17:12:11 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 7.3477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3242 loss: 2.3242 2022/07/28 03:06:57 - mmengine - INFO - Epoch(train) [81][2180/3757] lr: 5.8682e-03 eta: 1 day, 17:12:03 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 7.4360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5096 loss: 2.5096 2022/07/28 03:07:05 - mmengine - INFO - Epoch(train) [81][2200/3757] lr: 5.8682e-03 eta: 1 day, 17:11:55 time: 0.4005 data_time: 0.0165 memory: 17007 grad_norm: 6.9855 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9895 loss: 1.9895 2022/07/28 03:07:13 - mmengine - INFO - Epoch(train) [81][2220/3757] lr: 5.8682e-03 eta: 1 day, 17:11:47 time: 0.3933 data_time: 0.0136 memory: 17007 grad_norm: 6.9967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0895 loss: 2.0895 2022/07/28 03:07:21 - mmengine - INFO - Epoch(train) [81][2240/3757] lr: 5.8682e-03 eta: 1 day, 17:11:39 time: 0.4072 data_time: 0.0161 memory: 17007 grad_norm: 7.2035 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0904 loss: 2.0904 2022/07/28 03:07:29 - mmengine - INFO - Epoch(train) [81][2260/3757] lr: 5.8682e-03 eta: 1 day, 17:11:31 time: 0.3921 data_time: 0.0126 memory: 17007 grad_norm: 7.1242 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3279 loss: 2.3279 2022/07/28 03:07:36 - mmengine - INFO - Epoch(train) [81][2280/3757] lr: 5.8682e-03 eta: 1 day, 17:11:23 time: 0.3922 data_time: 0.0146 memory: 17007 grad_norm: 6.8976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0499 loss: 2.0499 2022/07/28 03:07:44 - mmengine - INFO - Epoch(train) [81][2300/3757] lr: 5.8682e-03 eta: 1 day, 17:11:15 time: 0.3944 data_time: 0.0149 memory: 17007 grad_norm: 6.7849 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8989 loss: 1.8989 2022/07/28 03:07:52 - mmengine - INFO - Epoch(train) [81][2320/3757] lr: 5.8682e-03 eta: 1 day, 17:11:07 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 6.7058 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0440 loss: 2.0440 2022/07/28 03:08:00 - mmengine - INFO - Epoch(train) [81][2340/3757] lr: 5.8682e-03 eta: 1 day, 17:10:59 time: 0.4015 data_time: 0.0134 memory: 17007 grad_norm: 7.1904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9676 loss: 1.9676 2022/07/28 03:08:08 - mmengine - INFO - Epoch(train) [81][2360/3757] lr: 5.8682e-03 eta: 1 day, 17:10:51 time: 0.3944 data_time: 0.0163 memory: 17007 grad_norm: 7.1681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9481 loss: 1.9481 2022/07/28 03:08:16 - mmengine - INFO - Epoch(train) [81][2380/3757] lr: 5.8682e-03 eta: 1 day, 17:10:43 time: 0.3939 data_time: 0.0134 memory: 17007 grad_norm: 6.9623 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9189 loss: 1.9189 2022/07/28 03:08:24 - mmengine - INFO - Epoch(train) [81][2400/3757] lr: 5.8682e-03 eta: 1 day, 17:10:36 time: 0.4003 data_time: 0.0174 memory: 17007 grad_norm: 7.1526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2793 loss: 2.2793 2022/07/28 03:08:32 - mmengine - INFO - Epoch(train) [81][2420/3757] lr: 5.8682e-03 eta: 1 day, 17:10:28 time: 0.3932 data_time: 0.0141 memory: 17007 grad_norm: 7.0657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4916 loss: 2.4916 2022/07/28 03:08:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:08:40 - mmengine - INFO - Epoch(train) [81][2440/3757] lr: 5.8682e-03 eta: 1 day, 17:10:20 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 7.2630 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8951 loss: 1.8951 2022/07/28 03:08:48 - mmengine - INFO - Epoch(train) [81][2460/3757] lr: 5.8682e-03 eta: 1 day, 17:10:12 time: 0.3975 data_time: 0.0141 memory: 17007 grad_norm: 7.0737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0523 loss: 2.0523 2022/07/28 03:08:56 - mmengine - INFO - Epoch(train) [81][2480/3757] lr: 5.8682e-03 eta: 1 day, 17:10:04 time: 0.3952 data_time: 0.0148 memory: 17007 grad_norm: 7.0677 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3410 loss: 2.3410 2022/07/28 03:09:04 - mmengine - INFO - Epoch(train) [81][2500/3757] lr: 5.8682e-03 eta: 1 day, 17:09:56 time: 0.4002 data_time: 0.0152 memory: 17007 grad_norm: 6.9292 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0048 loss: 2.0048 2022/07/28 03:09:12 - mmengine - INFO - Epoch(train) [81][2520/3757] lr: 5.8682e-03 eta: 1 day, 17:09:48 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 6.9689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2500 loss: 2.2500 2022/07/28 03:09:19 - mmengine - INFO - Epoch(train) [81][2540/3757] lr: 5.8682e-03 eta: 1 day, 17:09:40 time: 0.3927 data_time: 0.0131 memory: 17007 grad_norm: 6.7762 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9519 loss: 1.9519 2022/07/28 03:09:27 - mmengine - INFO - Epoch(train) [81][2560/3757] lr: 5.8682e-03 eta: 1 day, 17:09:32 time: 0.4033 data_time: 0.0160 memory: 17007 grad_norm: 7.0763 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4045 loss: 2.4045 2022/07/28 03:09:35 - mmengine - INFO - Epoch(train) [81][2580/3757] lr: 5.8682e-03 eta: 1 day, 17:09:24 time: 0.3977 data_time: 0.0134 memory: 17007 grad_norm: 7.0903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1076 loss: 2.1076 2022/07/28 03:09:43 - mmengine - INFO - Epoch(train) [81][2600/3757] lr: 5.8682e-03 eta: 1 day, 17:09:16 time: 0.3984 data_time: 0.0169 memory: 17007 grad_norm: 6.8380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0289 loss: 2.0289 2022/07/28 03:09:51 - mmengine - INFO - Epoch(train) [81][2620/3757] lr: 5.8682e-03 eta: 1 day, 17:09:08 time: 0.3993 data_time: 0.0146 memory: 17007 grad_norm: 6.9468 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0459 loss: 2.0459 2022/07/28 03:09:59 - mmengine - INFO - Epoch(train) [81][2640/3757] lr: 5.8682e-03 eta: 1 day, 17:09:00 time: 0.3973 data_time: 0.0165 memory: 17007 grad_norm: 6.7638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1362 loss: 2.1362 2022/07/28 03:10:07 - mmengine - INFO - Epoch(train) [81][2660/3757] lr: 5.8682e-03 eta: 1 day, 17:08:52 time: 0.3915 data_time: 0.0124 memory: 17007 grad_norm: 6.8716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5257 loss: 2.5257 2022/07/28 03:10:15 - mmengine - INFO - Epoch(train) [81][2680/3757] lr: 5.8682e-03 eta: 1 day, 17:08:44 time: 0.3997 data_time: 0.0157 memory: 17007 grad_norm: 6.9891 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0263 loss: 2.0263 2022/07/28 03:10:23 - mmengine - INFO - Epoch(train) [81][2700/3757] lr: 5.8682e-03 eta: 1 day, 17:08:36 time: 0.3937 data_time: 0.0132 memory: 17007 grad_norm: 7.0180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0123 loss: 2.0123 2022/07/28 03:10:31 - mmengine - INFO - Epoch(train) [81][2720/3757] lr: 5.8682e-03 eta: 1 day, 17:08:28 time: 0.4005 data_time: 0.0165 memory: 17007 grad_norm: 6.9997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1420 loss: 2.1420 2022/07/28 03:10:39 - mmengine - INFO - Epoch(train) [81][2740/3757] lr: 5.8682e-03 eta: 1 day, 17:08:20 time: 0.3931 data_time: 0.0127 memory: 17007 grad_norm: 7.3261 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1489 loss: 2.1489 2022/07/28 03:10:47 - mmengine - INFO - Epoch(train) [81][2760/3757] lr: 5.8682e-03 eta: 1 day, 17:08:12 time: 0.3938 data_time: 0.0147 memory: 17007 grad_norm: 7.0283 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3749 loss: 2.3749 2022/07/28 03:10:55 - mmengine - INFO - Epoch(train) [81][2780/3757] lr: 5.8682e-03 eta: 1 day, 17:08:04 time: 0.3953 data_time: 0.0149 memory: 17007 grad_norm: 6.8611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0289 loss: 2.0289 2022/07/28 03:11:03 - mmengine - INFO - Epoch(train) [81][2800/3757] lr: 5.8682e-03 eta: 1 day, 17:07:56 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 7.0711 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1374 loss: 2.1374 2022/07/28 03:11:11 - mmengine - INFO - Epoch(train) [81][2820/3757] lr: 5.8682e-03 eta: 1 day, 17:07:48 time: 0.3979 data_time: 0.0159 memory: 17007 grad_norm: 6.9576 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9506 loss: 1.9506 2022/07/28 03:11:19 - mmengine - INFO - Epoch(train) [81][2840/3757] lr: 5.8682e-03 eta: 1 day, 17:07:40 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 7.3004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0915 loss: 2.0915 2022/07/28 03:11:26 - mmengine - INFO - Epoch(train) [81][2860/3757] lr: 5.8682e-03 eta: 1 day, 17:07:32 time: 0.3969 data_time: 0.0149 memory: 17007 grad_norm: 7.1525 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1618 loss: 2.1618 2022/07/28 03:11:34 - mmengine - INFO - Epoch(train) [81][2880/3757] lr: 5.8682e-03 eta: 1 day, 17:07:24 time: 0.3948 data_time: 0.0149 memory: 17007 grad_norm: 6.9151 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7450 loss: 1.7450 2022/07/28 03:11:42 - mmengine - INFO - Epoch(train) [81][2900/3757] lr: 5.8682e-03 eta: 1 day, 17:07:16 time: 0.3955 data_time: 0.0162 memory: 17007 grad_norm: 7.3579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9428 loss: 1.9428 2022/07/28 03:11:50 - mmengine - INFO - Epoch(train) [81][2920/3757] lr: 5.8682e-03 eta: 1 day, 17:07:08 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 7.1980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8132 loss: 1.8132 2022/07/28 03:11:58 - mmengine - INFO - Epoch(train) [81][2940/3757] lr: 5.8682e-03 eta: 1 day, 17:07:00 time: 0.3958 data_time: 0.0139 memory: 17007 grad_norm: 7.0568 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7188 loss: 1.7188 2022/07/28 03:12:06 - mmengine - INFO - Epoch(train) [81][2960/3757] lr: 5.8682e-03 eta: 1 day, 17:06:52 time: 0.3946 data_time: 0.0151 memory: 17007 grad_norm: 6.9815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9792 loss: 1.9792 2022/07/28 03:12:14 - mmengine - INFO - Epoch(train) [81][2980/3757] lr: 5.8682e-03 eta: 1 day, 17:06:45 time: 0.3987 data_time: 0.0141 memory: 17007 grad_norm: 6.7713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8184 loss: 1.8184 2022/07/28 03:12:22 - mmengine - INFO - Epoch(train) [81][3000/3757] lr: 5.8682e-03 eta: 1 day, 17:06:37 time: 0.3920 data_time: 0.0152 memory: 17007 grad_norm: 6.9256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0981 loss: 2.0981 2022/07/28 03:12:30 - mmengine - INFO - Epoch(train) [81][3020/3757] lr: 5.8682e-03 eta: 1 day, 17:06:28 time: 0.3925 data_time: 0.0135 memory: 17007 grad_norm: 6.9079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0813 loss: 2.0813 2022/07/28 03:12:38 - mmengine - INFO - Epoch(train) [81][3040/3757] lr: 5.8682e-03 eta: 1 day, 17:06:21 time: 0.4064 data_time: 0.0162 memory: 17007 grad_norm: 7.0404 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0554 loss: 2.0554 2022/07/28 03:12:46 - mmengine - INFO - Epoch(train) [81][3060/3757] lr: 5.8682e-03 eta: 1 day, 17:06:13 time: 0.3934 data_time: 0.0135 memory: 17007 grad_norm: 6.9596 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9523 loss: 1.9523 2022/07/28 03:12:54 - mmengine - INFO - Epoch(train) [81][3080/3757] lr: 5.8682e-03 eta: 1 day, 17:06:05 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 6.8905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3174 loss: 2.3174 2022/07/28 03:13:01 - mmengine - INFO - Epoch(train) [81][3100/3757] lr: 5.8682e-03 eta: 1 day, 17:05:57 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 6.8554 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3961 loss: 2.3961 2022/07/28 03:13:09 - mmengine - INFO - Epoch(train) [81][3120/3757] lr: 5.8682e-03 eta: 1 day, 17:05:49 time: 0.3939 data_time: 0.0145 memory: 17007 grad_norm: 7.0501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1389 loss: 2.1389 2022/07/28 03:13:17 - mmengine - INFO - Epoch(train) [81][3140/3757] lr: 5.8682e-03 eta: 1 day, 17:05:41 time: 0.3957 data_time: 0.0140 memory: 17007 grad_norm: 7.0945 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1528 loss: 2.1528 2022/07/28 03:13:25 - mmengine - INFO - Epoch(train) [81][3160/3757] lr: 5.8682e-03 eta: 1 day, 17:05:33 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 6.8845 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8007 loss: 1.8007 2022/07/28 03:13:33 - mmengine - INFO - Epoch(train) [81][3180/3757] lr: 5.8682e-03 eta: 1 day, 17:05:25 time: 0.3946 data_time: 0.0144 memory: 17007 grad_norm: 7.1982 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2221 loss: 2.2221 2022/07/28 03:13:41 - mmengine - INFO - Epoch(train) [81][3200/3757] lr: 5.8682e-03 eta: 1 day, 17:05:17 time: 0.3997 data_time: 0.0158 memory: 17007 grad_norm: 6.9838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1346 loss: 2.1346 2022/07/28 03:13:49 - mmengine - INFO - Epoch(train) [81][3220/3757] lr: 5.8682e-03 eta: 1 day, 17:05:09 time: 0.3932 data_time: 0.0135 memory: 17007 grad_norm: 7.0270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7218 loss: 1.7218 2022/07/28 03:13:57 - mmengine - INFO - Epoch(train) [81][3240/3757] lr: 5.8682e-03 eta: 1 day, 17:05:01 time: 0.3975 data_time: 0.0162 memory: 17007 grad_norm: 7.0054 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8571 loss: 1.8571 2022/07/28 03:14:05 - mmengine - INFO - Epoch(train) [81][3260/3757] lr: 5.8682e-03 eta: 1 day, 17:04:53 time: 0.3943 data_time: 0.0140 memory: 17007 grad_norm: 7.3756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3212 loss: 2.3212 2022/07/28 03:14:13 - mmengine - INFO - Epoch(train) [81][3280/3757] lr: 5.8682e-03 eta: 1 day, 17:04:45 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 7.0464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7796 loss: 1.7796 2022/07/28 03:14:21 - mmengine - INFO - Epoch(train) [81][3300/3757] lr: 5.8682e-03 eta: 1 day, 17:04:37 time: 0.3944 data_time: 0.0150 memory: 17007 grad_norm: 7.0368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9751 loss: 1.9751 2022/07/28 03:14:29 - mmengine - INFO - Epoch(train) [81][3320/3757] lr: 5.8682e-03 eta: 1 day, 17:04:29 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 6.7072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0213 loss: 2.0213 2022/07/28 03:14:36 - mmengine - INFO - Epoch(train) [81][3340/3757] lr: 5.8682e-03 eta: 1 day, 17:04:21 time: 0.3968 data_time: 0.0146 memory: 17007 grad_norm: 6.8778 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2528 loss: 2.2528 2022/07/28 03:14:44 - mmengine - INFO - Epoch(train) [81][3360/3757] lr: 5.8682e-03 eta: 1 day, 17:04:13 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 7.1261 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1762 loss: 2.1762 2022/07/28 03:14:52 - mmengine - INFO - Epoch(train) [81][3380/3757] lr: 5.8682e-03 eta: 1 day, 17:04:05 time: 0.4018 data_time: 0.0152 memory: 17007 grad_norm: 7.1344 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1907 loss: 2.1907 2022/07/28 03:15:00 - mmengine - INFO - Epoch(train) [81][3400/3757] lr: 5.8682e-03 eta: 1 day, 17:03:57 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 7.1658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1605 loss: 2.1605 2022/07/28 03:15:08 - mmengine - INFO - Epoch(train) [81][3420/3757] lr: 5.8682e-03 eta: 1 day, 17:03:49 time: 0.3913 data_time: 0.0138 memory: 17007 grad_norm: 6.9013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8101 loss: 1.8101 2022/07/28 03:15:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:15:16 - mmengine - INFO - Epoch(train) [81][3440/3757] lr: 5.8682e-03 eta: 1 day, 17:03:41 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 6.7242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9375 loss: 1.9375 2022/07/28 03:15:24 - mmengine - INFO - Epoch(train) [81][3460/3757] lr: 5.8682e-03 eta: 1 day, 17:03:33 time: 0.3926 data_time: 0.0131 memory: 17007 grad_norm: 6.9569 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1664 loss: 2.1664 2022/07/28 03:15:32 - mmengine - INFO - Epoch(train) [81][3480/3757] lr: 5.8682e-03 eta: 1 day, 17:03:25 time: 0.3963 data_time: 0.0161 memory: 17007 grad_norm: 6.9281 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1397 loss: 2.1397 2022/07/28 03:15:40 - mmengine - INFO - Epoch(train) [81][3500/3757] lr: 5.8682e-03 eta: 1 day, 17:03:17 time: 0.3934 data_time: 0.0137 memory: 17007 grad_norm: 7.2286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1965 loss: 2.1965 2022/07/28 03:15:48 - mmengine - INFO - Epoch(train) [81][3520/3757] lr: 5.8682e-03 eta: 1 day, 17:03:09 time: 0.3982 data_time: 0.0165 memory: 17007 grad_norm: 7.0564 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1717 loss: 2.1717 2022/07/28 03:15:56 - mmengine - INFO - Epoch(train) [81][3540/3757] lr: 5.8682e-03 eta: 1 day, 17:03:01 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 6.9583 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2482 loss: 2.2482 2022/07/28 03:16:04 - mmengine - INFO - Epoch(train) [81][3560/3757] lr: 5.8682e-03 eta: 1 day, 17:02:53 time: 0.3949 data_time: 0.0169 memory: 17007 grad_norm: 6.9477 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2095 loss: 2.2095 2022/07/28 03:16:11 - mmengine - INFO - Epoch(train) [81][3580/3757] lr: 5.8682e-03 eta: 1 day, 17:02:45 time: 0.3934 data_time: 0.0136 memory: 17007 grad_norm: 7.1850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2264 loss: 2.2264 2022/07/28 03:16:19 - mmengine - INFO - Epoch(train) [81][3600/3757] lr: 5.8682e-03 eta: 1 day, 17:02:37 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 7.1355 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3399 loss: 2.3399 2022/07/28 03:16:27 - mmengine - INFO - Epoch(train) [81][3620/3757] lr: 5.8682e-03 eta: 1 day, 17:02:29 time: 0.3976 data_time: 0.0141 memory: 17007 grad_norm: 6.9094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1809 loss: 2.1809 2022/07/28 03:16:35 - mmengine - INFO - Epoch(train) [81][3640/3757] lr: 5.8682e-03 eta: 1 day, 17:02:21 time: 0.3974 data_time: 0.0161 memory: 17007 grad_norm: 6.6601 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0429 loss: 2.0429 2022/07/28 03:16:43 - mmengine - INFO - Epoch(train) [81][3660/3757] lr: 5.8682e-03 eta: 1 day, 17:02:13 time: 0.3962 data_time: 0.0160 memory: 17007 grad_norm: 7.0961 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4122 loss: 2.4122 2022/07/28 03:16:51 - mmengine - INFO - Epoch(train) [81][3680/3757] lr: 5.8682e-03 eta: 1 day, 17:02:05 time: 0.3996 data_time: 0.0159 memory: 17007 grad_norm: 7.2841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0479 loss: 2.0479 2022/07/28 03:16:59 - mmengine - INFO - Epoch(train) [81][3700/3757] lr: 5.8682e-03 eta: 1 day, 17:01:57 time: 0.3920 data_time: 0.0137 memory: 17007 grad_norm: 6.9811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1997 loss: 2.1997 2022/07/28 03:17:07 - mmengine - INFO - Epoch(train) [81][3720/3757] lr: 5.8682e-03 eta: 1 day, 17:01:49 time: 0.3958 data_time: 0.0162 memory: 17007 grad_norm: 6.8497 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9904 loss: 1.9904 2022/07/28 03:17:15 - mmengine - INFO - Epoch(train) [81][3740/3757] lr: 5.8682e-03 eta: 1 day, 17:01:41 time: 0.3929 data_time: 0.0126 memory: 17007 grad_norm: 6.9761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9577 loss: 1.9577 2022/07/28 03:17:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:17:22 - mmengine - INFO - Epoch(train) [81][3757/3757] lr: 5.8682e-03 eta: 1 day, 17:01:41 time: 0.3943 data_time: 0.0172 memory: 17007 grad_norm: 7.0768 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8502 loss: 1.8502 2022/07/28 03:17:22 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/07/28 03:17:34 - mmengine - INFO - Epoch(train) [82][20/3757] lr: 5.7822e-03 eta: 1 day, 17:01:19 time: 0.4482 data_time: 0.0668 memory: 17007 grad_norm: 7.1530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0764 loss: 2.0764 2022/07/28 03:17:42 - mmengine - INFO - Epoch(train) [82][40/3757] lr: 5.7822e-03 eta: 1 day, 17:01:11 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 7.2485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9089 loss: 1.9089 2022/07/28 03:17:50 - mmengine - INFO - Epoch(train) [82][60/3757] lr: 5.7822e-03 eta: 1 day, 17:01:03 time: 0.3928 data_time: 0.0149 memory: 17007 grad_norm: 6.9963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1307 loss: 2.1307 2022/07/28 03:17:58 - mmengine - INFO - Epoch(train) [82][80/3757] lr: 5.7822e-03 eta: 1 day, 17:00:55 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 7.0176 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2359 loss: 2.2359 2022/07/28 03:18:05 - mmengine - INFO - Epoch(train) [82][100/3757] lr: 5.7822e-03 eta: 1 day, 17:00:47 time: 0.3946 data_time: 0.0157 memory: 17007 grad_norm: 6.8826 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2557 loss: 2.2557 2022/07/28 03:18:13 - mmengine - INFO - Epoch(train) [82][120/3757] lr: 5.7822e-03 eta: 1 day, 17:00:39 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 6.5241 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0474 loss: 2.0474 2022/07/28 03:18:21 - mmengine - INFO - Epoch(train) [82][140/3757] lr: 5.7822e-03 eta: 1 day, 17:00:31 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 6.8858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9911 loss: 1.9911 2022/07/28 03:18:29 - mmengine - INFO - Epoch(train) [82][160/3757] lr: 5.7822e-03 eta: 1 day, 17:00:23 time: 0.3904 data_time: 0.0141 memory: 17007 grad_norm: 6.9201 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9484 loss: 1.9484 2022/07/28 03:18:37 - mmengine - INFO - Epoch(train) [82][180/3757] lr: 5.7822e-03 eta: 1 day, 17:00:15 time: 0.3959 data_time: 0.0152 memory: 17007 grad_norm: 7.0799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1978 loss: 2.1978 2022/07/28 03:18:45 - mmengine - INFO - Epoch(train) [82][200/3757] lr: 5.7822e-03 eta: 1 day, 17:00:07 time: 0.3949 data_time: 0.0157 memory: 17007 grad_norm: 6.9423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0164 loss: 2.0164 2022/07/28 03:18:53 - mmengine - INFO - Epoch(train) [82][220/3757] lr: 5.7822e-03 eta: 1 day, 16:59:59 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 6.9367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8090 loss: 1.8090 2022/07/28 03:19:01 - mmengine - INFO - Epoch(train) [82][240/3757] lr: 5.7822e-03 eta: 1 day, 16:59:51 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 7.0715 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0786 loss: 2.0786 2022/07/28 03:19:09 - mmengine - INFO - Epoch(train) [82][260/3757] lr: 5.7822e-03 eta: 1 day, 16:59:43 time: 0.3932 data_time: 0.0143 memory: 17007 grad_norm: 7.0920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8542 loss: 1.8542 2022/07/28 03:19:17 - mmengine - INFO - Epoch(train) [82][280/3757] lr: 5.7822e-03 eta: 1 day, 16:59:35 time: 0.4013 data_time: 0.0164 memory: 17007 grad_norm: 6.8971 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1670 loss: 2.1670 2022/07/28 03:19:24 - mmengine - INFO - Epoch(train) [82][300/3757] lr: 5.7822e-03 eta: 1 day, 16:59:27 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 6.7738 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0957 loss: 2.0957 2022/07/28 03:19:33 - mmengine - INFO - Epoch(train) [82][320/3757] lr: 5.7822e-03 eta: 1 day, 16:59:20 time: 0.4044 data_time: 0.0161 memory: 17007 grad_norm: 7.0495 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0748 loss: 2.0748 2022/07/28 03:19:40 - mmengine - INFO - Epoch(train) [82][340/3757] lr: 5.7822e-03 eta: 1 day, 16:59:12 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 6.8395 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3149 loss: 2.3149 2022/07/28 03:19:48 - mmengine - INFO - Epoch(train) [82][360/3757] lr: 5.7822e-03 eta: 1 day, 16:59:04 time: 0.3944 data_time: 0.0149 memory: 17007 grad_norm: 7.0973 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9387 loss: 1.9387 2022/07/28 03:19:56 - mmengine - INFO - Epoch(train) [82][380/3757] lr: 5.7822e-03 eta: 1 day, 16:58:56 time: 0.3994 data_time: 0.0158 memory: 17007 grad_norm: 7.0820 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4863 loss: 2.4863 2022/07/28 03:20:04 - mmengine - INFO - Epoch(train) [82][400/3757] lr: 5.7822e-03 eta: 1 day, 16:58:48 time: 0.3953 data_time: 0.0151 memory: 17007 grad_norm: 7.0216 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2248 loss: 2.2248 2022/07/28 03:20:12 - mmengine - INFO - Epoch(train) [82][420/3757] lr: 5.7822e-03 eta: 1 day, 16:58:40 time: 0.3981 data_time: 0.0155 memory: 17007 grad_norm: 6.8680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3531 loss: 2.3531 2022/07/28 03:20:20 - mmengine - INFO - Epoch(train) [82][440/3757] lr: 5.7822e-03 eta: 1 day, 16:58:32 time: 0.3926 data_time: 0.0140 memory: 17007 grad_norm: 6.8102 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0783 loss: 2.0783 2022/07/28 03:20:28 - mmengine - INFO - Epoch(train) [82][460/3757] lr: 5.7822e-03 eta: 1 day, 16:58:24 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 6.9124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9159 loss: 1.9159 2022/07/28 03:20:36 - mmengine - INFO - Epoch(train) [82][480/3757] lr: 5.7822e-03 eta: 1 day, 16:58:16 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 7.1082 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8384 loss: 1.8384 2022/07/28 03:20:44 - mmengine - INFO - Epoch(train) [82][500/3757] lr: 5.7822e-03 eta: 1 day, 16:58:08 time: 0.3962 data_time: 0.0167 memory: 17007 grad_norm: 6.8572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9879 loss: 1.9879 2022/07/28 03:20:52 - mmengine - INFO - Epoch(train) [82][520/3757] lr: 5.7822e-03 eta: 1 day, 16:58:00 time: 0.3987 data_time: 0.0141 memory: 17007 grad_norm: 6.8314 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1548 loss: 2.1548 2022/07/28 03:21:00 - mmengine - INFO - Epoch(train) [82][540/3757] lr: 5.7822e-03 eta: 1 day, 16:57:52 time: 0.3925 data_time: 0.0150 memory: 17007 grad_norm: 7.2456 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0918 loss: 2.0918 2022/07/28 03:21:08 - mmengine - INFO - Epoch(train) [82][560/3757] lr: 5.7822e-03 eta: 1 day, 16:57:44 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 6.8491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0355 loss: 2.0355 2022/07/28 03:21:15 - mmengine - INFO - Epoch(train) [82][580/3757] lr: 5.7822e-03 eta: 1 day, 16:57:36 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 6.8756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7041 loss: 1.7041 2022/07/28 03:21:23 - mmengine - INFO - Epoch(train) [82][600/3757] lr: 5.7822e-03 eta: 1 day, 16:57:28 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 6.9534 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1088 loss: 2.1088 2022/07/28 03:21:31 - mmengine - INFO - Epoch(train) [82][620/3757] lr: 5.7822e-03 eta: 1 day, 16:57:20 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 6.9481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0381 loss: 2.0381 2022/07/28 03:21:39 - mmengine - INFO - Epoch(train) [82][640/3757] lr: 5.7822e-03 eta: 1 day, 16:57:12 time: 0.4044 data_time: 0.0136 memory: 17007 grad_norm: 6.9393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7354 loss: 1.7354 2022/07/28 03:21:47 - mmengine - INFO - Epoch(train) [82][660/3757] lr: 5.7822e-03 eta: 1 day, 16:57:04 time: 0.3944 data_time: 0.0162 memory: 17007 grad_norm: 6.8371 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7463 loss: 1.7463 2022/07/28 03:21:55 - mmengine - INFO - Epoch(train) [82][680/3757] lr: 5.7822e-03 eta: 1 day, 16:56:56 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 6.9494 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2631 loss: 2.2631 2022/07/28 03:21:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:22:03 - mmengine - INFO - Epoch(train) [82][700/3757] lr: 5.7822e-03 eta: 1 day, 16:56:48 time: 0.3975 data_time: 0.0156 memory: 17007 grad_norm: 7.1325 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8414 loss: 1.8414 2022/07/28 03:22:11 - mmengine - INFO - Epoch(train) [82][720/3757] lr: 5.7822e-03 eta: 1 day, 16:56:40 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 7.0163 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1919 loss: 2.1919 2022/07/28 03:22:19 - mmengine - INFO - Epoch(train) [82][740/3757] lr: 5.7822e-03 eta: 1 day, 16:56:32 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 7.2464 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9004 loss: 1.9004 2022/07/28 03:22:27 - mmengine - INFO - Epoch(train) [82][760/3757] lr: 5.7822e-03 eta: 1 day, 16:56:24 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 6.9004 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0378 loss: 2.0378 2022/07/28 03:22:35 - mmengine - INFO - Epoch(train) [82][780/3757] lr: 5.7822e-03 eta: 1 day, 16:56:16 time: 0.3991 data_time: 0.0158 memory: 17007 grad_norm: 6.7799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8850 loss: 1.8850 2022/07/28 03:22:43 - mmengine - INFO - Epoch(train) [82][800/3757] lr: 5.7822e-03 eta: 1 day, 16:56:08 time: 0.3933 data_time: 0.0145 memory: 17007 grad_norm: 7.0458 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8392 loss: 1.8392 2022/07/28 03:22:50 - mmengine - INFO - Epoch(train) [82][820/3757] lr: 5.7822e-03 eta: 1 day, 16:56:00 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.6805 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8621 loss: 1.8621 2022/07/28 03:22:58 - mmengine - INFO - Epoch(train) [82][840/3757] lr: 5.7822e-03 eta: 1 day, 16:55:52 time: 0.3978 data_time: 0.0157 memory: 17007 grad_norm: 7.1057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9983 loss: 1.9983 2022/07/28 03:23:06 - mmengine - INFO - Epoch(train) [82][860/3757] lr: 5.7822e-03 eta: 1 day, 16:55:44 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 7.2195 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1710 loss: 2.1710 2022/07/28 03:23:14 - mmengine - INFO - Epoch(train) [82][880/3757] lr: 5.7822e-03 eta: 1 day, 16:55:36 time: 0.3965 data_time: 0.0162 memory: 17007 grad_norm: 6.7331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9144 loss: 1.9144 2022/07/28 03:23:22 - mmengine - INFO - Epoch(train) [82][900/3757] lr: 5.7822e-03 eta: 1 day, 16:55:28 time: 0.3948 data_time: 0.0155 memory: 17007 grad_norm: 6.7610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1000 loss: 2.1000 2022/07/28 03:23:30 - mmengine - INFO - Epoch(train) [82][920/3757] lr: 5.7822e-03 eta: 1 day, 16:55:20 time: 0.3932 data_time: 0.0143 memory: 17007 grad_norm: 7.0769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9956 loss: 1.9956 2022/07/28 03:23:38 - mmengine - INFO - Epoch(train) [82][940/3757] lr: 5.7822e-03 eta: 1 day, 16:55:12 time: 0.3963 data_time: 0.0160 memory: 17007 grad_norm: 7.0663 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9823 loss: 1.9823 2022/07/28 03:23:46 - mmengine - INFO - Epoch(train) [82][960/3757] lr: 5.7822e-03 eta: 1 day, 16:55:04 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 6.8974 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0827 loss: 2.0827 2022/07/28 03:23:54 - mmengine - INFO - Epoch(train) [82][980/3757] lr: 5.7822e-03 eta: 1 day, 16:54:56 time: 0.4028 data_time: 0.0160 memory: 17007 grad_norm: 7.1135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0438 loss: 2.0438 2022/07/28 03:24:02 - mmengine - INFO - Epoch(train) [82][1000/3757] lr: 5.7822e-03 eta: 1 day, 16:54:48 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 6.5967 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8172 loss: 1.8172 2022/07/28 03:24:10 - mmengine - INFO - Epoch(train) [82][1020/3757] lr: 5.7822e-03 eta: 1 day, 16:54:40 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 7.2149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9951 loss: 1.9951 2022/07/28 03:24:18 - mmengine - INFO - Epoch(train) [82][1040/3757] lr: 5.7822e-03 eta: 1 day, 16:54:32 time: 0.3954 data_time: 0.0156 memory: 17007 grad_norm: 6.8491 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9850 loss: 1.9850 2022/07/28 03:24:25 - mmengine - INFO - Epoch(train) [82][1060/3757] lr: 5.7822e-03 eta: 1 day, 16:54:24 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 7.3096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1224 loss: 2.1224 2022/07/28 03:24:33 - mmengine - INFO - Epoch(train) [82][1080/3757] lr: 5.7822e-03 eta: 1 day, 16:54:16 time: 0.3971 data_time: 0.0157 memory: 17007 grad_norm: 6.9480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1257 loss: 2.1257 2022/07/28 03:24:41 - mmengine - INFO - Epoch(train) [82][1100/3757] lr: 5.7822e-03 eta: 1 day, 16:54:08 time: 0.3929 data_time: 0.0150 memory: 17007 grad_norm: 6.9569 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9163 loss: 1.9163 2022/07/28 03:24:49 - mmengine - INFO - Epoch(train) [82][1120/3757] lr: 5.7822e-03 eta: 1 day, 16:54:00 time: 0.3954 data_time: 0.0160 memory: 17007 grad_norm: 7.2424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0777 loss: 2.0777 2022/07/28 03:24:57 - mmengine - INFO - Epoch(train) [82][1140/3757] lr: 5.7822e-03 eta: 1 day, 16:53:52 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 7.0746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9779 loss: 1.9779 2022/07/28 03:25:05 - mmengine - INFO - Epoch(train) [82][1160/3757] lr: 5.7822e-03 eta: 1 day, 16:53:44 time: 0.3960 data_time: 0.0150 memory: 17007 grad_norm: 7.0955 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8087 loss: 1.8087 2022/07/28 03:25:13 - mmengine - INFO - Epoch(train) [82][1180/3757] lr: 5.7822e-03 eta: 1 day, 16:53:36 time: 0.3935 data_time: 0.0144 memory: 17007 grad_norm: 6.9995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9991 loss: 1.9991 2022/07/28 03:25:21 - mmengine - INFO - Epoch(train) [82][1200/3757] lr: 5.7822e-03 eta: 1 day, 16:53:28 time: 0.3929 data_time: 0.0146 memory: 17007 grad_norm: 7.0600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9852 loss: 1.9852 2022/07/28 03:25:29 - mmengine - INFO - Epoch(train) [82][1220/3757] lr: 5.7822e-03 eta: 1 day, 16:53:20 time: 0.3967 data_time: 0.0160 memory: 17007 grad_norm: 6.9838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0884 loss: 2.0884 2022/07/28 03:25:37 - mmengine - INFO - Epoch(train) [82][1240/3757] lr: 5.7822e-03 eta: 1 day, 16:53:12 time: 0.3935 data_time: 0.0158 memory: 17007 grad_norm: 7.1437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1118 loss: 2.1118 2022/07/28 03:25:44 - mmengine - INFO - Epoch(train) [82][1260/3757] lr: 5.7822e-03 eta: 1 day, 16:53:04 time: 0.3952 data_time: 0.0156 memory: 17007 grad_norm: 7.0219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9959 loss: 1.9959 2022/07/28 03:25:53 - mmengine - INFO - Epoch(train) [82][1280/3757] lr: 5.7822e-03 eta: 1 day, 16:52:57 time: 0.4108 data_time: 0.0152 memory: 17007 grad_norm: 7.1475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1699 loss: 2.1699 2022/07/28 03:26:01 - mmengine - INFO - Epoch(train) [82][1300/3757] lr: 5.7822e-03 eta: 1 day, 16:52:49 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 7.1436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0165 loss: 2.0165 2022/07/28 03:26:09 - mmengine - INFO - Epoch(train) [82][1320/3757] lr: 5.7822e-03 eta: 1 day, 16:52:41 time: 0.3933 data_time: 0.0145 memory: 17007 grad_norm: 7.2937 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9738 loss: 1.9738 2022/07/28 03:26:17 - mmengine - INFO - Epoch(train) [82][1340/3757] lr: 5.7822e-03 eta: 1 day, 16:52:33 time: 0.3995 data_time: 0.0152 memory: 17007 grad_norm: 7.2228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0469 loss: 2.0469 2022/07/28 03:26:24 - mmengine - INFO - Epoch(train) [82][1360/3757] lr: 5.7822e-03 eta: 1 day, 16:52:25 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 7.0599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9122 loss: 1.9122 2022/07/28 03:26:32 - mmengine - INFO - Epoch(train) [82][1380/3757] lr: 5.7822e-03 eta: 1 day, 16:52:17 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 6.8144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9872 loss: 1.9872 2022/07/28 03:26:40 - mmengine - INFO - Epoch(train) [82][1400/3757] lr: 5.7822e-03 eta: 1 day, 16:52:09 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 6.8361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9673 loss: 1.9673 2022/07/28 03:26:48 - mmengine - INFO - Epoch(train) [82][1420/3757] lr: 5.7822e-03 eta: 1 day, 16:52:01 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 7.1150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9916 loss: 1.9916 2022/07/28 03:26:56 - mmengine - INFO - Epoch(train) [82][1440/3757] lr: 5.7822e-03 eta: 1 day, 16:51:53 time: 0.4005 data_time: 0.0162 memory: 17007 grad_norm: 7.0556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8024 loss: 1.8024 2022/07/28 03:27:04 - mmengine - INFO - Epoch(train) [82][1460/3757] lr: 5.7822e-03 eta: 1 day, 16:51:45 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 6.9514 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1567 loss: 2.1567 2022/07/28 03:27:12 - mmengine - INFO - Epoch(train) [82][1480/3757] lr: 5.7822e-03 eta: 1 day, 16:51:37 time: 0.3994 data_time: 0.0137 memory: 17007 grad_norm: 6.9143 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9383 loss: 1.9383 2022/07/28 03:27:20 - mmengine - INFO - Epoch(train) [82][1500/3757] lr: 5.7822e-03 eta: 1 day, 16:51:29 time: 0.3935 data_time: 0.0146 memory: 17007 grad_norm: 7.1867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2318 loss: 2.2318 2022/07/28 03:27:28 - mmengine - INFO - Epoch(train) [82][1520/3757] lr: 5.7822e-03 eta: 1 day, 16:51:21 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 7.0190 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1476 loss: 2.1476 2022/07/28 03:27:36 - mmengine - INFO - Epoch(train) [82][1540/3757] lr: 5.7822e-03 eta: 1 day, 16:51:13 time: 0.4036 data_time: 0.0167 memory: 17007 grad_norm: 6.7161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1719 loss: 2.1719 2022/07/28 03:27:44 - mmengine - INFO - Epoch(train) [82][1560/3757] lr: 5.7822e-03 eta: 1 day, 16:51:05 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 6.9601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6858 loss: 1.6858 2022/07/28 03:27:52 - mmengine - INFO - Epoch(train) [82][1580/3757] lr: 5.7822e-03 eta: 1 day, 16:50:57 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 6.8817 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8852 loss: 1.8852 2022/07/28 03:28:00 - mmengine - INFO - Epoch(train) [82][1600/3757] lr: 5.7822e-03 eta: 1 day, 16:50:49 time: 0.4068 data_time: 0.0146 memory: 17007 grad_norm: 7.1902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2392 loss: 2.2392 2022/07/28 03:28:08 - mmengine - INFO - Epoch(train) [82][1620/3757] lr: 5.7822e-03 eta: 1 day, 16:50:41 time: 0.3928 data_time: 0.0157 memory: 17007 grad_norm: 7.1295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9840 loss: 1.9840 2022/07/28 03:28:15 - mmengine - INFO - Epoch(train) [82][1640/3757] lr: 5.7822e-03 eta: 1 day, 16:50:33 time: 0.3922 data_time: 0.0151 memory: 17007 grad_norm: 7.1519 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2258 loss: 2.2258 2022/07/28 03:28:23 - mmengine - INFO - Epoch(train) [82][1660/3757] lr: 5.7822e-03 eta: 1 day, 16:50:25 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 7.0324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2856 loss: 2.2856 2022/07/28 03:28:31 - mmengine - INFO - Epoch(train) [82][1680/3757] lr: 5.7822e-03 eta: 1 day, 16:50:17 time: 0.3906 data_time: 0.0141 memory: 17007 grad_norm: 7.3100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0581 loss: 2.0581 2022/07/28 03:28:33 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:28:40 - mmengine - INFO - Epoch(train) [82][1700/3757] lr: 5.7822e-03 eta: 1 day, 16:50:10 time: 0.4163 data_time: 0.0179 memory: 17007 grad_norm: 7.5232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1955 loss: 2.1955 2022/07/28 03:28:47 - mmengine - INFO - Epoch(train) [82][1720/3757] lr: 5.7822e-03 eta: 1 day, 16:50:02 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 7.0156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2900 loss: 2.2900 2022/07/28 03:28:55 - mmengine - INFO - Epoch(train) [82][1740/3757] lr: 5.7822e-03 eta: 1 day, 16:49:54 time: 0.3958 data_time: 0.0164 memory: 17007 grad_norm: 7.0978 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8495 loss: 1.8495 2022/07/28 03:29:03 - mmengine - INFO - Epoch(train) [82][1760/3757] lr: 5.7822e-03 eta: 1 day, 16:49:46 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 6.9429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1082 loss: 2.1082 2022/07/28 03:29:11 - mmengine - INFO - Epoch(train) [82][1780/3757] lr: 5.7822e-03 eta: 1 day, 16:49:38 time: 0.3928 data_time: 0.0149 memory: 17007 grad_norm: 6.8941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9128 loss: 1.9128 2022/07/28 03:29:19 - mmengine - INFO - Epoch(train) [82][1800/3757] lr: 5.7822e-03 eta: 1 day, 16:49:30 time: 0.4001 data_time: 0.0164 memory: 17007 grad_norm: 7.1649 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1125 loss: 2.1125 2022/07/28 03:29:27 - mmengine - INFO - Epoch(train) [82][1820/3757] lr: 5.7822e-03 eta: 1 day, 16:49:22 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.3993 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3206 loss: 2.3206 2022/07/28 03:29:35 - mmengine - INFO - Epoch(train) [82][1840/3757] lr: 5.7822e-03 eta: 1 day, 16:49:14 time: 0.4033 data_time: 0.0156 memory: 17007 grad_norm: 7.2734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8275 loss: 1.8275 2022/07/28 03:29:43 - mmengine - INFO - Epoch(train) [82][1860/3757] lr: 5.7822e-03 eta: 1 day, 16:49:06 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 7.0923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1396 loss: 2.1396 2022/07/28 03:29:51 - mmengine - INFO - Epoch(train) [82][1880/3757] lr: 5.7822e-03 eta: 1 day, 16:48:58 time: 0.3921 data_time: 0.0144 memory: 17007 grad_norm: 7.1222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2350 loss: 2.2350 2022/07/28 03:29:59 - mmengine - INFO - Epoch(train) [82][1900/3757] lr: 5.7822e-03 eta: 1 day, 16:48:50 time: 0.4008 data_time: 0.0164 memory: 17007 grad_norm: 6.8750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1086 loss: 2.1086 2022/07/28 03:30:07 - mmengine - INFO - Epoch(train) [82][1920/3757] lr: 5.7822e-03 eta: 1 day, 16:48:42 time: 0.3979 data_time: 0.0152 memory: 17007 grad_norm: 6.8883 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0153 loss: 2.0153 2022/07/28 03:30:15 - mmengine - INFO - Epoch(train) [82][1940/3757] lr: 5.7822e-03 eta: 1 day, 16:48:34 time: 0.3950 data_time: 0.0149 memory: 17007 grad_norm: 7.0291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8994 loss: 1.8994 2022/07/28 03:30:23 - mmengine - INFO - Epoch(train) [82][1960/3757] lr: 5.7822e-03 eta: 1 day, 16:48:26 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 7.1096 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3920 loss: 2.3920 2022/07/28 03:30:30 - mmengine - INFO - Epoch(train) [82][1980/3757] lr: 5.7822e-03 eta: 1 day, 16:48:18 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 7.0488 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2608 loss: 2.2608 2022/07/28 03:30:38 - mmengine - INFO - Epoch(train) [82][2000/3757] lr: 5.7822e-03 eta: 1 day, 16:48:10 time: 0.3981 data_time: 0.0149 memory: 17007 grad_norm: 6.8582 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0089 loss: 2.0089 2022/07/28 03:30:46 - mmengine - INFO - Epoch(train) [82][2020/3757] lr: 5.7822e-03 eta: 1 day, 16:48:02 time: 0.3973 data_time: 0.0171 memory: 17007 grad_norm: 6.9873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9479 loss: 1.9479 2022/07/28 03:30:54 - mmengine - INFO - Epoch(train) [82][2040/3757] lr: 5.7822e-03 eta: 1 day, 16:47:54 time: 0.3947 data_time: 0.0144 memory: 17007 grad_norm: 6.9339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1425 loss: 2.1425 2022/07/28 03:31:02 - mmengine - INFO - Epoch(train) [82][2060/3757] lr: 5.7822e-03 eta: 1 day, 16:47:46 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 7.0856 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1000 loss: 2.1000 2022/07/28 03:31:10 - mmengine - INFO - Epoch(train) [82][2080/3757] lr: 5.7822e-03 eta: 1 day, 16:47:38 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 7.0171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0360 loss: 2.0360 2022/07/28 03:31:18 - mmengine - INFO - Epoch(train) [82][2100/3757] lr: 5.7822e-03 eta: 1 day, 16:47:30 time: 0.3946 data_time: 0.0146 memory: 17007 grad_norm: 7.1252 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9866 loss: 1.9866 2022/07/28 03:31:26 - mmengine - INFO - Epoch(train) [82][2120/3757] lr: 5.7822e-03 eta: 1 day, 16:47:22 time: 0.4063 data_time: 0.0159 memory: 17007 grad_norm: 7.1617 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1339 loss: 2.1339 2022/07/28 03:31:34 - mmengine - INFO - Epoch(train) [82][2140/3757] lr: 5.7822e-03 eta: 1 day, 16:47:14 time: 0.3929 data_time: 0.0149 memory: 17007 grad_norm: 7.0239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0684 loss: 2.0684 2022/07/28 03:31:42 - mmengine - INFO - Epoch(train) [82][2160/3757] lr: 5.7822e-03 eta: 1 day, 16:47:06 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 7.1494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1463 loss: 2.1463 2022/07/28 03:31:50 - mmengine - INFO - Epoch(train) [82][2180/3757] lr: 5.7822e-03 eta: 1 day, 16:46:58 time: 0.4006 data_time: 0.0160 memory: 17007 grad_norm: 6.9303 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7703 loss: 1.7703 2022/07/28 03:31:58 - mmengine - INFO - Epoch(train) [82][2200/3757] lr: 5.7822e-03 eta: 1 day, 16:46:50 time: 0.3935 data_time: 0.0155 memory: 17007 grad_norm: 7.0600 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6754 loss: 1.6754 2022/07/28 03:32:06 - mmengine - INFO - Epoch(train) [82][2220/3757] lr: 5.7822e-03 eta: 1 day, 16:46:42 time: 0.3965 data_time: 0.0168 memory: 17007 grad_norm: 7.0428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4909 loss: 1.4909 2022/07/28 03:32:14 - mmengine - INFO - Epoch(train) [82][2240/3757] lr: 5.7822e-03 eta: 1 day, 16:46:34 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.0771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0945 loss: 2.0945 2022/07/28 03:32:21 - mmengine - INFO - Epoch(train) [82][2260/3757] lr: 5.7822e-03 eta: 1 day, 16:46:26 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 6.9531 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1263 loss: 2.1263 2022/07/28 03:32:29 - mmengine - INFO - Epoch(train) [82][2280/3757] lr: 5.7822e-03 eta: 1 day, 16:46:18 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 6.7135 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2490 loss: 2.2490 2022/07/28 03:32:37 - mmengine - INFO - Epoch(train) [82][2300/3757] lr: 5.7822e-03 eta: 1 day, 16:46:10 time: 0.3922 data_time: 0.0143 memory: 17007 grad_norm: 7.1981 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9246 loss: 1.9246 2022/07/28 03:32:45 - mmengine - INFO - Epoch(train) [82][2320/3757] lr: 5.7822e-03 eta: 1 day, 16:46:03 time: 0.4005 data_time: 0.0163 memory: 17007 grad_norm: 7.0667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9236 loss: 1.9236 2022/07/28 03:32:53 - mmengine - INFO - Epoch(train) [82][2340/3757] lr: 5.7822e-03 eta: 1 day, 16:45:55 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 7.2005 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0513 loss: 2.0513 2022/07/28 03:33:01 - mmengine - INFO - Epoch(train) [82][2360/3757] lr: 5.7822e-03 eta: 1 day, 16:45:46 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 7.3163 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2693 loss: 2.2693 2022/07/28 03:33:09 - mmengine - INFO - Epoch(train) [82][2380/3757] lr: 5.7822e-03 eta: 1 day, 16:45:39 time: 0.3969 data_time: 0.0163 memory: 17007 grad_norm: 7.2209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0107 loss: 2.0107 2022/07/28 03:33:17 - mmengine - INFO - Epoch(train) [82][2400/3757] lr: 5.7822e-03 eta: 1 day, 16:45:30 time: 0.3929 data_time: 0.0143 memory: 17007 grad_norm: 7.3277 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9525 loss: 1.9525 2022/07/28 03:33:25 - mmengine - INFO - Epoch(train) [82][2420/3757] lr: 5.7822e-03 eta: 1 day, 16:45:23 time: 0.3981 data_time: 0.0170 memory: 17007 grad_norm: 7.0736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9572 loss: 1.9572 2022/07/28 03:33:33 - mmengine - INFO - Epoch(train) [82][2440/3757] lr: 5.7822e-03 eta: 1 day, 16:45:15 time: 0.3919 data_time: 0.0149 memory: 17007 grad_norm: 6.9129 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9161 loss: 1.9161 2022/07/28 03:33:41 - mmengine - INFO - Epoch(train) [82][2460/3757] lr: 5.7822e-03 eta: 1 day, 16:45:06 time: 0.3937 data_time: 0.0161 memory: 17007 grad_norm: 6.8776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0502 loss: 2.0502 2022/07/28 03:33:49 - mmengine - INFO - Epoch(train) [82][2480/3757] lr: 5.7822e-03 eta: 1 day, 16:44:59 time: 0.3998 data_time: 0.0155 memory: 17007 grad_norm: 7.1103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9625 loss: 1.9625 2022/07/28 03:33:56 - mmengine - INFO - Epoch(train) [82][2500/3757] lr: 5.7822e-03 eta: 1 day, 16:44:51 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 6.6071 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9188 loss: 1.9188 2022/07/28 03:34:04 - mmengine - INFO - Epoch(train) [82][2520/3757] lr: 5.7822e-03 eta: 1 day, 16:44:43 time: 0.4003 data_time: 0.0167 memory: 17007 grad_norm: 6.7512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0130 loss: 2.0130 2022/07/28 03:34:12 - mmengine - INFO - Epoch(train) [82][2540/3757] lr: 5.7822e-03 eta: 1 day, 16:44:35 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 6.9393 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0338 loss: 2.0338 2022/07/28 03:34:20 - mmengine - INFO - Epoch(train) [82][2560/3757] lr: 5.7822e-03 eta: 1 day, 16:44:27 time: 0.3935 data_time: 0.0147 memory: 17007 grad_norm: 6.9696 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1150 loss: 2.1150 2022/07/28 03:34:28 - mmengine - INFO - Epoch(train) [82][2580/3757] lr: 5.7822e-03 eta: 1 day, 16:44:19 time: 0.4058 data_time: 0.0167 memory: 17007 grad_norm: 6.9415 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1807 loss: 2.1807 2022/07/28 03:34:36 - mmengine - INFO - Epoch(train) [82][2600/3757] lr: 5.7822e-03 eta: 1 day, 16:44:11 time: 0.3929 data_time: 0.0146 memory: 17007 grad_norm: 7.0646 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8982 loss: 1.8982 2022/07/28 03:34:44 - mmengine - INFO - Epoch(train) [82][2620/3757] lr: 5.7822e-03 eta: 1 day, 16:44:03 time: 0.4095 data_time: 0.0163 memory: 17007 grad_norm: 6.9817 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0229 loss: 2.0229 2022/07/28 03:34:52 - mmengine - INFO - Epoch(train) [82][2640/3757] lr: 5.7822e-03 eta: 1 day, 16:43:55 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 7.0961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0297 loss: 2.0297 2022/07/28 03:35:00 - mmengine - INFO - Epoch(train) [82][2660/3757] lr: 5.7822e-03 eta: 1 day, 16:43:47 time: 0.3932 data_time: 0.0146 memory: 17007 grad_norm: 7.2296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1370 loss: 2.1370 2022/07/28 03:35:08 - mmengine - INFO - Epoch(train) [82][2680/3757] lr: 5.7822e-03 eta: 1 day, 16:43:40 time: 0.4110 data_time: 0.0146 memory: 17007 grad_norm: 6.8583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1459 loss: 2.1459 2022/07/28 03:35:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:35:16 - mmengine - INFO - Epoch(train) [82][2700/3757] lr: 5.7822e-03 eta: 1 day, 16:43:32 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.4654 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1586 loss: 2.1586 2022/07/28 03:35:24 - mmengine - INFO - Epoch(train) [82][2720/3757] lr: 5.7822e-03 eta: 1 day, 16:43:24 time: 0.3976 data_time: 0.0161 memory: 17007 grad_norm: 6.7917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2999 loss: 2.2999 2022/07/28 03:35:32 - mmengine - INFO - Epoch(train) [82][2740/3757] lr: 5.7822e-03 eta: 1 day, 16:43:16 time: 0.3926 data_time: 0.0152 memory: 17007 grad_norm: 7.2516 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1752 loss: 2.1752 2022/07/28 03:35:40 - mmengine - INFO - Epoch(train) [82][2760/3757] lr: 5.7822e-03 eta: 1 day, 16:43:08 time: 0.3928 data_time: 0.0137 memory: 17007 grad_norm: 7.0187 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8419 loss: 1.8419 2022/07/28 03:35:48 - mmengine - INFO - Epoch(train) [82][2780/3757] lr: 5.7822e-03 eta: 1 day, 16:43:00 time: 0.4069 data_time: 0.0150 memory: 17007 grad_norm: 6.9349 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0934 loss: 2.0934 2022/07/28 03:35:56 - mmengine - INFO - Epoch(train) [82][2800/3757] lr: 5.7822e-03 eta: 1 day, 16:42:52 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 6.8275 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7875 loss: 1.7875 2022/07/28 03:36:04 - mmengine - INFO - Epoch(train) [82][2820/3757] lr: 5.7822e-03 eta: 1 day, 16:42:44 time: 0.4066 data_time: 0.0170 memory: 17007 grad_norm: 7.1039 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9238 loss: 1.9238 2022/07/28 03:36:12 - mmengine - INFO - Epoch(train) [82][2840/3757] lr: 5.7822e-03 eta: 1 day, 16:42:36 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 7.0331 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1212 loss: 2.1212 2022/07/28 03:36:20 - mmengine - INFO - Epoch(train) [82][2860/3757] lr: 5.7822e-03 eta: 1 day, 16:42:28 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 7.2632 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0385 loss: 2.0385 2022/07/28 03:36:28 - mmengine - INFO - Epoch(train) [82][2880/3757] lr: 5.7822e-03 eta: 1 day, 16:42:20 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 7.1936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0871 loss: 2.0871 2022/07/28 03:36:36 - mmengine - INFO - Epoch(train) [82][2900/3757] lr: 5.7822e-03 eta: 1 day, 16:42:12 time: 0.3959 data_time: 0.0164 memory: 17007 grad_norm: 6.8755 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8797 loss: 1.8797 2022/07/28 03:36:44 - mmengine - INFO - Epoch(train) [82][2920/3757] lr: 5.7822e-03 eta: 1 day, 16:42:04 time: 0.3983 data_time: 0.0148 memory: 17007 grad_norm: 6.8979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0883 loss: 2.0883 2022/07/28 03:36:52 - mmengine - INFO - Epoch(train) [82][2940/3757] lr: 5.7822e-03 eta: 1 day, 16:41:56 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 6.8485 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7986 loss: 1.7986 2022/07/28 03:37:00 - mmengine - INFO - Epoch(train) [82][2960/3757] lr: 5.7822e-03 eta: 1 day, 16:41:49 time: 0.4124 data_time: 0.0162 memory: 17007 grad_norm: 7.0615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2150 loss: 2.2150 2022/07/28 03:37:08 - mmengine - INFO - Epoch(train) [82][2980/3757] lr: 5.7822e-03 eta: 1 day, 16:41:41 time: 0.3929 data_time: 0.0146 memory: 17007 grad_norm: 7.1487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1513 loss: 2.1513 2022/07/28 03:37:16 - mmengine - INFO - Epoch(train) [82][3000/3757] lr: 5.7822e-03 eta: 1 day, 16:41:32 time: 0.3929 data_time: 0.0157 memory: 17007 grad_norm: 7.2153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8158 loss: 1.8158 2022/07/28 03:37:23 - mmengine - INFO - Epoch(train) [82][3020/3757] lr: 5.7822e-03 eta: 1 day, 16:41:25 time: 0.3948 data_time: 0.0164 memory: 17007 grad_norm: 7.1715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8828 loss: 1.8828 2022/07/28 03:37:31 - mmengine - INFO - Epoch(train) [82][3040/3757] lr: 5.7822e-03 eta: 1 day, 16:41:16 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 7.0361 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3153 loss: 2.3153 2022/07/28 03:37:39 - mmengine - INFO - Epoch(train) [82][3060/3757] lr: 5.7822e-03 eta: 1 day, 16:41:08 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 7.2999 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2762 loss: 2.2762 2022/07/28 03:37:47 - mmengine - INFO - Epoch(train) [82][3080/3757] lr: 5.7822e-03 eta: 1 day, 16:41:01 time: 0.4011 data_time: 0.0155 memory: 17007 grad_norm: 7.2609 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2246 loss: 2.2246 2022/07/28 03:37:55 - mmengine - INFO - Epoch(train) [82][3100/3757] lr: 5.7822e-03 eta: 1 day, 16:40:53 time: 0.3951 data_time: 0.0153 memory: 17007 grad_norm: 7.1891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1031 loss: 2.1031 2022/07/28 03:38:03 - mmengine - INFO - Epoch(train) [82][3120/3757] lr: 5.7822e-03 eta: 1 day, 16:40:45 time: 0.3995 data_time: 0.0172 memory: 17007 grad_norm: 7.3189 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2628 loss: 2.2628 2022/07/28 03:38:11 - mmengine - INFO - Epoch(train) [82][3140/3757] lr: 5.7822e-03 eta: 1 day, 16:40:37 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 6.7855 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0738 loss: 2.0738 2022/07/28 03:38:19 - mmengine - INFO - Epoch(train) [82][3160/3757] lr: 5.7822e-03 eta: 1 day, 16:40:29 time: 0.3948 data_time: 0.0151 memory: 17007 grad_norm: 7.3068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9970 loss: 1.9970 2022/07/28 03:38:27 - mmengine - INFO - Epoch(train) [82][3180/3757] lr: 5.7822e-03 eta: 1 day, 16:40:21 time: 0.3961 data_time: 0.0159 memory: 17007 grad_norm: 6.8970 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1731 loss: 2.1731 2022/07/28 03:38:35 - mmengine - INFO - Epoch(train) [82][3200/3757] lr: 5.7822e-03 eta: 1 day, 16:40:13 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 6.9750 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1912 loss: 2.1912 2022/07/28 03:38:43 - mmengine - INFO - Epoch(train) [82][3220/3757] lr: 5.7822e-03 eta: 1 day, 16:40:05 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 7.0611 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0900 loss: 2.0900 2022/07/28 03:38:51 - mmengine - INFO - Epoch(train) [82][3240/3757] lr: 5.7822e-03 eta: 1 day, 16:39:57 time: 0.3941 data_time: 0.0164 memory: 17007 grad_norm: 7.1292 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1774 loss: 2.1774 2022/07/28 03:38:58 - mmengine - INFO - Epoch(train) [82][3260/3757] lr: 5.7822e-03 eta: 1 day, 16:39:49 time: 0.3948 data_time: 0.0155 memory: 17007 grad_norm: 7.2635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0391 loss: 2.0391 2022/07/28 03:39:06 - mmengine - INFO - Epoch(train) [82][3280/3757] lr: 5.7822e-03 eta: 1 day, 16:39:41 time: 0.3996 data_time: 0.0163 memory: 17007 grad_norm: 7.0953 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4010 loss: 2.4010 2022/07/28 03:39:14 - mmengine - INFO - Epoch(train) [82][3300/3757] lr: 5.7822e-03 eta: 1 day, 16:39:33 time: 0.3954 data_time: 0.0156 memory: 17007 grad_norm: 7.0602 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0462 loss: 2.0462 2022/07/28 03:39:22 - mmengine - INFO - Epoch(train) [82][3320/3757] lr: 5.7822e-03 eta: 1 day, 16:39:25 time: 0.3995 data_time: 0.0150 memory: 17007 grad_norm: 7.0008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8383 loss: 1.8383 2022/07/28 03:39:30 - mmengine - INFO - Epoch(train) [82][3340/3757] lr: 5.7822e-03 eta: 1 day, 16:39:17 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 6.9362 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8435 loss: 1.8435 2022/07/28 03:39:38 - mmengine - INFO - Epoch(train) [82][3360/3757] lr: 5.7822e-03 eta: 1 day, 16:39:09 time: 0.4013 data_time: 0.0184 memory: 17007 grad_norm: 7.1436 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1848 loss: 2.1848 2022/07/28 03:39:46 - mmengine - INFO - Epoch(train) [82][3380/3757] lr: 5.7822e-03 eta: 1 day, 16:39:01 time: 0.4005 data_time: 0.0150 memory: 17007 grad_norm: 6.8697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7377 loss: 1.7377 2022/07/28 03:39:54 - mmengine - INFO - Epoch(train) [82][3400/3757] lr: 5.7822e-03 eta: 1 day, 16:38:53 time: 0.4012 data_time: 0.0162 memory: 17007 grad_norm: 6.9697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7315 loss: 1.7315 2022/07/28 03:40:02 - mmengine - INFO - Epoch(train) [82][3420/3757] lr: 5.7822e-03 eta: 1 day, 16:38:45 time: 0.3930 data_time: 0.0143 memory: 17007 grad_norm: 6.9194 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2393 loss: 2.2393 2022/07/28 03:40:10 - mmengine - INFO - Epoch(train) [82][3440/3757] lr: 5.7822e-03 eta: 1 day, 16:38:37 time: 0.3949 data_time: 0.0166 memory: 17007 grad_norm: 6.9388 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8301 loss: 1.8301 2022/07/28 03:40:18 - mmengine - INFO - Epoch(train) [82][3460/3757] lr: 5.7822e-03 eta: 1 day, 16:38:29 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 7.0340 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2805 loss: 2.2805 2022/07/28 03:40:26 - mmengine - INFO - Epoch(train) [82][3480/3757] lr: 5.7822e-03 eta: 1 day, 16:38:21 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 6.7090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9264 loss: 1.9264 2022/07/28 03:40:34 - mmengine - INFO - Epoch(train) [82][3500/3757] lr: 5.7822e-03 eta: 1 day, 16:38:13 time: 0.3949 data_time: 0.0147 memory: 17007 grad_norm: 7.1658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9702 loss: 1.9702 2022/07/28 03:40:42 - mmengine - INFO - Epoch(train) [82][3520/3757] lr: 5.7822e-03 eta: 1 day, 16:38:05 time: 0.3918 data_time: 0.0150 memory: 17007 grad_norm: 7.1845 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0284 loss: 2.0284 2022/07/28 03:40:50 - mmengine - INFO - Epoch(train) [82][3540/3757] lr: 5.7822e-03 eta: 1 day, 16:37:57 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 7.0271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8102 loss: 1.8102 2022/07/28 03:40:57 - mmengine - INFO - Epoch(train) [82][3560/3757] lr: 5.7822e-03 eta: 1 day, 16:37:49 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 6.9783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1714 loss: 2.1714 2022/07/28 03:41:05 - mmengine - INFO - Epoch(train) [82][3580/3757] lr: 5.7822e-03 eta: 1 day, 16:37:41 time: 0.3955 data_time: 0.0168 memory: 17007 grad_norm: 7.1496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9089 loss: 1.9089 2022/07/28 03:41:13 - mmengine - INFO - Epoch(train) [82][3600/3757] lr: 5.7822e-03 eta: 1 day, 16:37:33 time: 0.3943 data_time: 0.0154 memory: 17007 grad_norm: 7.0383 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1832 loss: 2.1832 2022/07/28 03:41:21 - mmengine - INFO - Epoch(train) [82][3620/3757] lr: 5.7822e-03 eta: 1 day, 16:37:25 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 6.7930 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2367 loss: 2.2367 2022/07/28 03:41:29 - mmengine - INFO - Epoch(train) [82][3640/3757] lr: 5.7822e-03 eta: 1 day, 16:37:17 time: 0.4003 data_time: 0.0155 memory: 17007 grad_norm: 7.1629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8378 loss: 1.8378 2022/07/28 03:41:37 - mmengine - INFO - Epoch(train) [82][3660/3757] lr: 5.7822e-03 eta: 1 day, 16:37:09 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 7.2768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0003 loss: 2.0003 2022/07/28 03:41:45 - mmengine - INFO - Epoch(train) [82][3680/3757] lr: 5.7822e-03 eta: 1 day, 16:37:01 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 7.1575 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9229 loss: 1.9229 2022/07/28 03:41:46 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:41:53 - mmengine - INFO - Epoch(train) [82][3700/3757] lr: 5.7822e-03 eta: 1 day, 16:36:53 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 6.8882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8989 loss: 1.8989 2022/07/28 03:42:01 - mmengine - INFO - Epoch(train) [82][3720/3757] lr: 5.7822e-03 eta: 1 day, 16:36:45 time: 0.3967 data_time: 0.0153 memory: 17007 grad_norm: 6.8676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/07/28 03:42:09 - mmengine - INFO - Epoch(train) [82][3740/3757] lr: 5.7822e-03 eta: 1 day, 16:36:37 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 7.2176 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3055 loss: 2.3055 2022/07/28 03:42:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:42:16 - mmengine - INFO - Epoch(train) [82][3757/3757] lr: 5.7822e-03 eta: 1 day, 16:36:37 time: 0.4014 data_time: 0.0148 memory: 17007 grad_norm: 7.1458 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.7755 loss: 1.7755 2022/07/28 03:42:16 - mmengine - INFO - Saving checkpoint at 82 epochs 2022/07/28 03:42:27 - mmengine - INFO - Epoch(train) [83][20/3757] lr: 5.6959e-03 eta: 1 day, 16:36:16 time: 0.4605 data_time: 0.0800 memory: 17007 grad_norm: 7.2688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3422 loss: 2.3422 2022/07/28 03:42:35 - mmengine - INFO - Epoch(train) [83][40/3757] lr: 5.6959e-03 eta: 1 day, 16:36:08 time: 0.3962 data_time: 0.0164 memory: 17007 grad_norm: 6.8113 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8930 loss: 1.8930 2022/07/28 03:42:43 - mmengine - INFO - Epoch(train) [83][60/3757] lr: 5.6959e-03 eta: 1 day, 16:36:00 time: 0.3913 data_time: 0.0145 memory: 17007 grad_norm: 7.0206 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8713 loss: 1.8713 2022/07/28 03:42:50 - mmengine - INFO - Epoch(train) [83][80/3757] lr: 5.6959e-03 eta: 1 day, 16:35:52 time: 0.3922 data_time: 0.0148 memory: 17007 grad_norm: 6.7457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0392 loss: 2.0392 2022/07/28 03:42:58 - mmengine - INFO - Epoch(train) [83][100/3757] lr: 5.6959e-03 eta: 1 day, 16:35:44 time: 0.3968 data_time: 0.0156 memory: 17007 grad_norm: 7.1046 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2526 loss: 2.2526 2022/07/28 03:43:06 - mmengine - INFO - Epoch(train) [83][120/3757] lr: 5.6959e-03 eta: 1 day, 16:35:36 time: 0.3926 data_time: 0.0146 memory: 17007 grad_norm: 7.2778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1720 loss: 2.1720 2022/07/28 03:43:14 - mmengine - INFO - Epoch(train) [83][140/3757] lr: 5.6959e-03 eta: 1 day, 16:35:28 time: 0.3949 data_time: 0.0144 memory: 17007 grad_norm: 7.4776 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8788 loss: 1.8788 2022/07/28 03:43:22 - mmengine - INFO - Epoch(train) [83][160/3757] lr: 5.6959e-03 eta: 1 day, 16:35:20 time: 0.3943 data_time: 0.0162 memory: 17007 grad_norm: 6.9641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1646 loss: 2.1646 2022/07/28 03:43:30 - mmengine - INFO - Epoch(train) [83][180/3757] lr: 5.6959e-03 eta: 1 day, 16:35:12 time: 0.3996 data_time: 0.0143 memory: 17007 grad_norm: 6.9653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0090 loss: 2.0090 2022/07/28 03:43:38 - mmengine - INFO - Epoch(train) [83][200/3757] lr: 5.6959e-03 eta: 1 day, 16:35:04 time: 0.3956 data_time: 0.0156 memory: 17007 grad_norm: 7.0256 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3284 loss: 2.3284 2022/07/28 03:43:46 - mmengine - INFO - Epoch(train) [83][220/3757] lr: 5.6959e-03 eta: 1 day, 16:34:56 time: 0.4048 data_time: 0.0151 memory: 17007 grad_norm: 6.9700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0493 loss: 2.0493 2022/07/28 03:43:54 - mmengine - INFO - Epoch(train) [83][240/3757] lr: 5.6959e-03 eta: 1 day, 16:34:48 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 6.9838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/07/28 03:44:02 - mmengine - INFO - Epoch(train) [83][260/3757] lr: 5.6959e-03 eta: 1 day, 16:34:40 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 6.8105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0524 loss: 2.0524 2022/07/28 03:44:10 - mmengine - INFO - Epoch(train) [83][280/3757] lr: 5.6959e-03 eta: 1 day, 16:34:32 time: 0.3941 data_time: 0.0144 memory: 17007 grad_norm: 7.1548 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9822 loss: 1.9822 2022/07/28 03:44:18 - mmengine - INFO - Epoch(train) [83][300/3757] lr: 5.6959e-03 eta: 1 day, 16:34:24 time: 0.3955 data_time: 0.0157 memory: 17007 grad_norm: 6.9209 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0904 loss: 2.0904 2022/07/28 03:44:26 - mmengine - INFO - Epoch(train) [83][320/3757] lr: 5.6959e-03 eta: 1 day, 16:34:17 time: 0.3981 data_time: 0.0167 memory: 17007 grad_norm: 6.9096 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1482 loss: 2.1482 2022/07/28 03:44:34 - mmengine - INFO - Epoch(train) [83][340/3757] lr: 5.6959e-03 eta: 1 day, 16:34:09 time: 0.3941 data_time: 0.0148 memory: 17007 grad_norm: 6.9071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1562 loss: 2.1562 2022/07/28 03:44:41 - mmengine - INFO - Epoch(train) [83][360/3757] lr: 5.6959e-03 eta: 1 day, 16:34:01 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 7.1390 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0753 loss: 2.0753 2022/07/28 03:44:49 - mmengine - INFO - Epoch(train) [83][380/3757] lr: 5.6959e-03 eta: 1 day, 16:33:53 time: 0.3965 data_time: 0.0150 memory: 17007 grad_norm: 7.4405 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9498 loss: 1.9498 2022/07/28 03:44:57 - mmengine - INFO - Epoch(train) [83][400/3757] lr: 5.6959e-03 eta: 1 day, 16:33:45 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 6.9794 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9041 loss: 1.9041 2022/07/28 03:45:05 - mmengine - INFO - Epoch(train) [83][420/3757] lr: 5.6959e-03 eta: 1 day, 16:33:37 time: 0.4046 data_time: 0.0142 memory: 17007 grad_norm: 7.1928 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1038 loss: 2.1038 2022/07/28 03:45:13 - mmengine - INFO - Epoch(train) [83][440/3757] lr: 5.6959e-03 eta: 1 day, 16:33:29 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 7.1181 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9640 loss: 1.9640 2022/07/28 03:45:21 - mmengine - INFO - Epoch(train) [83][460/3757] lr: 5.6959e-03 eta: 1 day, 16:33:21 time: 0.3942 data_time: 0.0142 memory: 17007 grad_norm: 7.1541 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0932 loss: 2.0932 2022/07/28 03:45:29 - mmengine - INFO - Epoch(train) [83][480/3757] lr: 5.6959e-03 eta: 1 day, 16:33:13 time: 0.4075 data_time: 0.0148 memory: 17007 grad_norm: 7.0309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9482 loss: 1.9482 2022/07/28 03:45:37 - mmengine - INFO - Epoch(train) [83][500/3757] lr: 5.6959e-03 eta: 1 day, 16:33:05 time: 0.4011 data_time: 0.0151 memory: 17007 grad_norm: 7.2603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0359 loss: 2.0359 2022/07/28 03:45:45 - mmengine - INFO - Epoch(train) [83][520/3757] lr: 5.6959e-03 eta: 1 day, 16:32:57 time: 0.3960 data_time: 0.0151 memory: 17007 grad_norm: 6.8320 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0382 loss: 2.0382 2022/07/28 03:45:53 - mmengine - INFO - Epoch(train) [83][540/3757] lr: 5.6959e-03 eta: 1 day, 16:32:49 time: 0.3914 data_time: 0.0126 memory: 17007 grad_norm: 7.2996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1986 loss: 2.1986 2022/07/28 03:46:01 - mmengine - INFO - Epoch(train) [83][560/3757] lr: 5.6959e-03 eta: 1 day, 16:32:41 time: 0.3967 data_time: 0.0157 memory: 17007 grad_norm: 7.2015 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2156 loss: 2.2156 2022/07/28 03:46:09 - mmengine - INFO - Epoch(train) [83][580/3757] lr: 5.6959e-03 eta: 1 day, 16:32:33 time: 0.3975 data_time: 0.0149 memory: 17007 grad_norm: 7.1241 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1394 loss: 2.1394 2022/07/28 03:46:17 - mmengine - INFO - Epoch(train) [83][600/3757] lr: 5.6959e-03 eta: 1 day, 16:32:25 time: 0.3976 data_time: 0.0169 memory: 17007 grad_norm: 7.2659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9023 loss: 1.9023 2022/07/28 03:46:25 - mmengine - INFO - Epoch(train) [83][620/3757] lr: 5.6959e-03 eta: 1 day, 16:32:17 time: 0.3968 data_time: 0.0151 memory: 17007 grad_norm: 7.1361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9379 loss: 1.9379 2022/07/28 03:46:33 - mmengine - INFO - Epoch(train) [83][640/3757] lr: 5.6959e-03 eta: 1 day, 16:32:09 time: 0.3932 data_time: 0.0149 memory: 17007 grad_norm: 7.1434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2994 loss: 2.2994 2022/07/28 03:46:41 - mmengine - INFO - Epoch(train) [83][660/3757] lr: 5.6959e-03 eta: 1 day, 16:32:01 time: 0.3955 data_time: 0.0154 memory: 17007 grad_norm: 6.9425 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0251 loss: 2.0251 2022/07/28 03:46:49 - mmengine - INFO - Epoch(train) [83][680/3757] lr: 5.6959e-03 eta: 1 day, 16:31:54 time: 0.3967 data_time: 0.0162 memory: 17007 grad_norm: 7.2408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9895 loss: 1.9895 2022/07/28 03:46:57 - mmengine - INFO - Epoch(train) [83][700/3757] lr: 5.6959e-03 eta: 1 day, 16:31:46 time: 0.3976 data_time: 0.0155 memory: 17007 grad_norm: 6.9398 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8499 loss: 1.8499 2022/07/28 03:47:05 - mmengine - INFO - Epoch(train) [83][720/3757] lr: 5.6959e-03 eta: 1 day, 16:31:38 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 7.1102 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0118 loss: 2.0118 2022/07/28 03:47:12 - mmengine - INFO - Epoch(train) [83][740/3757] lr: 5.6959e-03 eta: 1 day, 16:31:30 time: 0.3923 data_time: 0.0142 memory: 17007 grad_norm: 7.1702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2133 loss: 2.2133 2022/07/28 03:47:20 - mmengine - INFO - Epoch(train) [83][760/3757] lr: 5.6959e-03 eta: 1 day, 16:31:22 time: 0.3982 data_time: 0.0163 memory: 17007 grad_norm: 7.0258 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8883 loss: 1.8883 2022/07/28 03:47:28 - mmengine - INFO - Epoch(train) [83][780/3757] lr: 5.6959e-03 eta: 1 day, 16:31:14 time: 0.3923 data_time: 0.0145 memory: 17007 grad_norm: 6.9487 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8070 loss: 1.8070 2022/07/28 03:47:36 - mmengine - INFO - Epoch(train) [83][800/3757] lr: 5.6959e-03 eta: 1 day, 16:31:06 time: 0.3964 data_time: 0.0168 memory: 17007 grad_norm: 7.1247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1433 loss: 2.1433 2022/07/28 03:47:44 - mmengine - INFO - Epoch(train) [83][820/3757] lr: 5.6959e-03 eta: 1 day, 16:30:58 time: 0.3963 data_time: 0.0144 memory: 17007 grad_norm: 6.9525 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0182 loss: 2.0182 2022/07/28 03:47:52 - mmengine - INFO - Epoch(train) [83][840/3757] lr: 5.6959e-03 eta: 1 day, 16:30:50 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 7.1662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1018 loss: 2.1018 2022/07/28 03:48:00 - mmengine - INFO - Epoch(train) [83][860/3757] lr: 5.6959e-03 eta: 1 day, 16:30:42 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 6.5975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1029 loss: 2.1029 2022/07/28 03:48:08 - mmengine - INFO - Epoch(train) [83][880/3757] lr: 5.6959e-03 eta: 1 day, 16:30:34 time: 0.3976 data_time: 0.0164 memory: 17007 grad_norm: 7.2767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1893 loss: 2.1893 2022/07/28 03:48:16 - mmengine - INFO - Epoch(train) [83][900/3757] lr: 5.6959e-03 eta: 1 day, 16:30:26 time: 0.3938 data_time: 0.0163 memory: 17007 grad_norm: 7.0822 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1148 loss: 2.1148 2022/07/28 03:48:24 - mmengine - INFO - Epoch(train) [83][920/3757] lr: 5.6959e-03 eta: 1 day, 16:30:18 time: 0.3966 data_time: 0.0192 memory: 17007 grad_norm: 7.2063 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9683 loss: 1.9683 2022/07/28 03:48:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:48:31 - mmengine - INFO - Epoch(train) [83][940/3757] lr: 5.6959e-03 eta: 1 day, 16:30:10 time: 0.3907 data_time: 0.0127 memory: 17007 grad_norm: 7.2968 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0473 loss: 2.0473 2022/07/28 03:48:39 - mmengine - INFO - Epoch(train) [83][960/3757] lr: 5.6959e-03 eta: 1 day, 16:30:02 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 6.9697 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9440 loss: 1.9440 2022/07/28 03:48:48 - mmengine - INFO - Epoch(train) [83][980/3757] lr: 5.6959e-03 eta: 1 day, 16:29:54 time: 0.4058 data_time: 0.0164 memory: 17007 grad_norm: 7.1243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9523 loss: 1.9523 2022/07/28 03:48:55 - mmengine - INFO - Epoch(train) [83][1000/3757] lr: 5.6959e-03 eta: 1 day, 16:29:46 time: 0.3938 data_time: 0.0147 memory: 17007 grad_norm: 7.0080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9566 loss: 1.9566 2022/07/28 03:49:03 - mmengine - INFO - Epoch(train) [83][1020/3757] lr: 5.6959e-03 eta: 1 day, 16:29:38 time: 0.3926 data_time: 0.0141 memory: 17007 grad_norm: 7.1234 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1651 loss: 2.1651 2022/07/28 03:49:11 - mmengine - INFO - Epoch(train) [83][1040/3757] lr: 5.6959e-03 eta: 1 day, 16:29:30 time: 0.3959 data_time: 0.0158 memory: 17007 grad_norm: 7.2045 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0684 loss: 2.0684 2022/07/28 03:49:19 - mmengine - INFO - Epoch(train) [83][1060/3757] lr: 5.6959e-03 eta: 1 day, 16:29:22 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 7.3949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0378 loss: 2.0378 2022/07/28 03:49:27 - mmengine - INFO - Epoch(train) [83][1080/3757] lr: 5.6959e-03 eta: 1 day, 16:29:14 time: 0.3963 data_time: 0.0157 memory: 17007 grad_norm: 6.8032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9717 loss: 1.9717 2022/07/28 03:49:35 - mmengine - INFO - Epoch(train) [83][1100/3757] lr: 5.6959e-03 eta: 1 day, 16:29:06 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 7.0182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9385 loss: 1.9385 2022/07/28 03:49:43 - mmengine - INFO - Epoch(train) [83][1120/3757] lr: 5.6959e-03 eta: 1 day, 16:28:58 time: 0.3922 data_time: 0.0149 memory: 17007 grad_norm: 7.0094 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5990 loss: 1.5990 2022/07/28 03:49:51 - mmengine - INFO - Epoch(train) [83][1140/3757] lr: 5.6959e-03 eta: 1 day, 16:28:50 time: 0.3992 data_time: 0.0143 memory: 17007 grad_norm: 7.1367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9004 loss: 1.9004 2022/07/28 03:49:59 - mmengine - INFO - Epoch(train) [83][1160/3757] lr: 5.6959e-03 eta: 1 day, 16:28:42 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 7.0723 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3437 loss: 2.3437 2022/07/28 03:50:07 - mmengine - INFO - Epoch(train) [83][1180/3757] lr: 5.6959e-03 eta: 1 day, 16:28:34 time: 0.4024 data_time: 0.0144 memory: 17007 grad_norm: 6.9829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9437 loss: 1.9437 2022/07/28 03:50:15 - mmengine - INFO - Epoch(train) [83][1200/3757] lr: 5.6959e-03 eta: 1 day, 16:28:26 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 7.0239 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2164 loss: 2.2164 2022/07/28 03:50:22 - mmengine - INFO - Epoch(train) [83][1220/3757] lr: 5.6959e-03 eta: 1 day, 16:28:18 time: 0.3923 data_time: 0.0142 memory: 17007 grad_norm: 7.5692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2006 loss: 2.2006 2022/07/28 03:50:30 - mmengine - INFO - Epoch(train) [83][1240/3757] lr: 5.6959e-03 eta: 1 day, 16:28:10 time: 0.3997 data_time: 0.0170 memory: 17007 grad_norm: 8.0593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9467 loss: 1.9467 2022/07/28 03:50:38 - mmengine - INFO - Epoch(train) [83][1260/3757] lr: 5.6959e-03 eta: 1 day, 16:28:02 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 7.0158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1122 loss: 2.1122 2022/07/28 03:50:56 - mmengine - INFO - Epoch(train) [83][1280/3757] lr: 5.6959e-03 eta: 1 day, 16:28:05 time: 0.8614 data_time: 0.0151 memory: 17007 grad_norm: 7.2205 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2066 loss: 2.2066 2022/07/28 03:51:04 - mmengine - INFO - Epoch(train) [83][1300/3757] lr: 5.6959e-03 eta: 1 day, 16:27:58 time: 0.4154 data_time: 0.0170 memory: 17007 grad_norm: 7.0914 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1910 loss: 2.1910 2022/07/28 03:51:14 - mmengine - INFO - Epoch(train) [83][1320/3757] lr: 5.6959e-03 eta: 1 day, 16:27:52 time: 0.4961 data_time: 0.0167 memory: 17007 grad_norm: 7.1961 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1626 loss: 2.1626 2022/07/28 03:51:26 - mmengine - INFO - Epoch(train) [83][1340/3757] lr: 5.6959e-03 eta: 1 day, 16:27:49 time: 0.6012 data_time: 0.0144 memory: 17007 grad_norm: 6.8934 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9651 loss: 1.9651 2022/07/28 03:51:36 - mmengine - INFO - Epoch(train) [83][1360/3757] lr: 5.6959e-03 eta: 1 day, 16:27:43 time: 0.4917 data_time: 0.0209 memory: 17007 grad_norm: 6.9927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2501 loss: 2.2501 2022/07/28 03:51:48 - mmengine - INFO - Epoch(train) [83][1380/3757] lr: 5.6959e-03 eta: 1 day, 16:27:40 time: 0.5888 data_time: 0.1025 memory: 17007 grad_norm: 7.3406 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1955 loss: 2.1955 2022/07/28 03:51:58 - mmengine - INFO - Epoch(train) [83][1400/3757] lr: 5.6959e-03 eta: 1 day, 16:27:36 time: 0.5480 data_time: 0.0126 memory: 17007 grad_norm: 7.0018 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9637 loss: 1.9637 2022/07/28 03:52:08 - mmengine - INFO - Epoch(train) [83][1420/3757] lr: 5.6959e-03 eta: 1 day, 16:27:30 time: 0.4885 data_time: 0.0158 memory: 17007 grad_norm: 7.3829 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3078 loss: 2.3078 2022/07/28 03:52:18 - mmengine - INFO - Epoch(train) [83][1440/3757] lr: 5.6959e-03 eta: 1 day, 16:27:24 time: 0.5001 data_time: 0.0152 memory: 17007 grad_norm: 7.1744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9300 loss: 1.9300 2022/07/28 03:52:26 - mmengine - INFO - Epoch(train) [83][1460/3757] lr: 5.6959e-03 eta: 1 day, 16:27:16 time: 0.3962 data_time: 0.0171 memory: 17007 grad_norm: 7.1191 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0040 loss: 2.0040 2022/07/28 03:52:34 - mmengine - INFO - Epoch(train) [83][1480/3757] lr: 5.6959e-03 eta: 1 day, 16:27:08 time: 0.3917 data_time: 0.0138 memory: 17007 grad_norm: 7.1926 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2090 loss: 2.2090 2022/07/28 03:52:42 - mmengine - INFO - Epoch(train) [83][1500/3757] lr: 5.6959e-03 eta: 1 day, 16:27:00 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 7.2034 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8196 loss: 1.8196 2022/07/28 03:52:50 - mmengine - INFO - Epoch(train) [83][1520/3757] lr: 5.6959e-03 eta: 1 day, 16:26:52 time: 0.3969 data_time: 0.0146 memory: 17007 grad_norm: 7.1814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6859 loss: 2.6859 2022/07/28 03:52:58 - mmengine - INFO - Epoch(train) [83][1540/3757] lr: 5.6959e-03 eta: 1 day, 16:26:44 time: 0.3923 data_time: 0.0152 memory: 17007 grad_norm: 6.8161 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9336 loss: 1.9336 2022/07/28 03:53:06 - mmengine - INFO - Epoch(train) [83][1560/3757] lr: 5.6959e-03 eta: 1 day, 16:26:36 time: 0.3942 data_time: 0.0125 memory: 17007 grad_norm: 6.9743 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9617 loss: 1.9617 2022/07/28 03:53:14 - mmengine - INFO - Epoch(train) [83][1580/3757] lr: 5.6959e-03 eta: 1 day, 16:26:28 time: 0.3942 data_time: 0.0163 memory: 17007 grad_norm: 7.0106 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7100 loss: 1.7100 2022/07/28 03:53:21 - mmengine - INFO - Epoch(train) [83][1600/3757] lr: 5.6959e-03 eta: 1 day, 16:26:20 time: 0.3921 data_time: 0.0134 memory: 17007 grad_norm: 7.0230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0882 loss: 2.0882 2022/07/28 03:53:29 - mmengine - INFO - Epoch(train) [83][1620/3757] lr: 5.6959e-03 eta: 1 day, 16:26:12 time: 0.3972 data_time: 0.0161 memory: 17007 grad_norm: 6.8044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1508 loss: 2.1508 2022/07/28 03:53:37 - mmengine - INFO - Epoch(train) [83][1640/3757] lr: 5.6959e-03 eta: 1 day, 16:26:04 time: 0.3933 data_time: 0.0130 memory: 17007 grad_norm: 7.0075 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0423 loss: 2.0423 2022/07/28 03:53:45 - mmengine - INFO - Epoch(train) [83][1660/3757] lr: 5.6959e-03 eta: 1 day, 16:25:56 time: 0.4009 data_time: 0.0168 memory: 17007 grad_norm: 7.1486 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2883 loss: 2.2883 2022/07/28 03:53:53 - mmengine - INFO - Epoch(train) [83][1680/3757] lr: 5.6959e-03 eta: 1 day, 16:25:48 time: 0.3925 data_time: 0.0131 memory: 17007 grad_norm: 7.0863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2309 loss: 2.2309 2022/07/28 03:54:01 - mmengine - INFO - Epoch(train) [83][1700/3757] lr: 5.6959e-03 eta: 1 day, 16:25:40 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 6.9426 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8886 loss: 1.8886 2022/07/28 03:54:09 - mmengine - INFO - Epoch(train) [83][1720/3757] lr: 5.6959e-03 eta: 1 day, 16:25:32 time: 0.4021 data_time: 0.0161 memory: 17007 grad_norm: 7.1727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0890 loss: 2.0890 2022/07/28 03:54:17 - mmengine - INFO - Epoch(train) [83][1740/3757] lr: 5.6959e-03 eta: 1 day, 16:25:24 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 6.7564 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0931 loss: 2.0931 2022/07/28 03:54:25 - mmengine - INFO - Epoch(train) [83][1760/3757] lr: 5.6959e-03 eta: 1 day, 16:25:17 time: 0.3984 data_time: 0.0142 memory: 17007 grad_norm: 6.9806 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1436 loss: 2.1436 2022/07/28 03:54:33 - mmengine - INFO - Epoch(train) [83][1780/3757] lr: 5.6959e-03 eta: 1 day, 16:25:09 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 7.0397 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1677 loss: 2.1677 2022/07/28 03:54:41 - mmengine - INFO - Epoch(train) [83][1800/3757] lr: 5.6959e-03 eta: 1 day, 16:25:01 time: 0.3965 data_time: 0.0156 memory: 17007 grad_norm: 6.9212 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7422 loss: 1.7422 2022/07/28 03:54:49 - mmengine - INFO - Epoch(train) [83][1820/3757] lr: 5.6959e-03 eta: 1 day, 16:24:53 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 6.9240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1692 loss: 2.1692 2022/07/28 03:54:57 - mmengine - INFO - Epoch(train) [83][1840/3757] lr: 5.6959e-03 eta: 1 day, 16:24:45 time: 0.3935 data_time: 0.0129 memory: 17007 grad_norm: 6.8746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1459 loss: 2.1459 2022/07/28 03:55:04 - mmengine - INFO - Epoch(train) [83][1860/3757] lr: 5.6959e-03 eta: 1 day, 16:24:37 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 7.2503 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2191 loss: 2.2191 2022/07/28 03:55:12 - mmengine - INFO - Epoch(train) [83][1880/3757] lr: 5.6959e-03 eta: 1 day, 16:24:29 time: 0.3967 data_time: 0.0125 memory: 17007 grad_norm: 7.2079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8681 loss: 1.8681 2022/07/28 03:55:20 - mmengine - INFO - Epoch(train) [83][1900/3757] lr: 5.6959e-03 eta: 1 day, 16:24:21 time: 0.3945 data_time: 0.0161 memory: 17007 grad_norm: 6.9540 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0101 loss: 2.0101 2022/07/28 03:55:28 - mmengine - INFO - Epoch(train) [83][1920/3757] lr: 5.6959e-03 eta: 1 day, 16:24:12 time: 0.3908 data_time: 0.0131 memory: 17007 grad_norm: 7.5718 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8210 loss: 1.8210 2022/07/28 03:55:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 03:55:36 - mmengine - INFO - Epoch(train) [83][1940/3757] lr: 5.6959e-03 eta: 1 day, 16:24:04 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 6.9207 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1879 loss: 2.1879 2022/07/28 03:55:44 - mmengine - INFO - Epoch(train) [83][1960/3757] lr: 5.6959e-03 eta: 1 day, 16:23:56 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 7.1015 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9337 loss: 1.9337 2022/07/28 03:55:52 - mmengine - INFO - Epoch(train) [83][1980/3757] lr: 5.6959e-03 eta: 1 day, 16:23:48 time: 0.3936 data_time: 0.0146 memory: 17007 grad_norm: 7.0977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8595 loss: 1.8595 2022/07/28 03:56:00 - mmengine - INFO - Epoch(train) [83][2000/3757] lr: 5.6959e-03 eta: 1 day, 16:23:40 time: 0.3967 data_time: 0.0138 memory: 17007 grad_norm: 7.0533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1492 loss: 2.1492 2022/07/28 03:56:08 - mmengine - INFO - Epoch(train) [83][2020/3757] lr: 5.6959e-03 eta: 1 day, 16:23:32 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 7.0171 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8242 loss: 1.8242 2022/07/28 03:56:15 - mmengine - INFO - Epoch(train) [83][2040/3757] lr: 5.6959e-03 eta: 1 day, 16:23:24 time: 0.3946 data_time: 0.0130 memory: 17007 grad_norm: 7.3464 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0909 loss: 2.0909 2022/07/28 03:56:23 - mmengine - INFO - Epoch(train) [83][2060/3757] lr: 5.6959e-03 eta: 1 day, 16:23:16 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.0508 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7766 loss: 1.7766 2022/07/28 03:56:31 - mmengine - INFO - Epoch(train) [83][2080/3757] lr: 5.6959e-03 eta: 1 day, 16:23:08 time: 0.3919 data_time: 0.0129 memory: 17007 grad_norm: 7.0397 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1273 loss: 2.1273 2022/07/28 03:56:39 - mmengine - INFO - Epoch(train) [83][2100/3757] lr: 5.6959e-03 eta: 1 day, 16:23:00 time: 0.3999 data_time: 0.0173 memory: 17007 grad_norm: 7.1091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9771 loss: 1.9771 2022/07/28 03:56:47 - mmengine - INFO - Epoch(train) [83][2120/3757] lr: 5.6959e-03 eta: 1 day, 16:22:52 time: 0.3905 data_time: 0.0122 memory: 17007 grad_norm: 7.1416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8759 loss: 1.8759 2022/07/28 03:56:55 - mmengine - INFO - Epoch(train) [83][2140/3757] lr: 5.6959e-03 eta: 1 day, 16:22:44 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 6.8436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9685 loss: 1.9685 2022/07/28 03:57:03 - mmengine - INFO - Epoch(train) [83][2160/3757] lr: 5.6959e-03 eta: 1 day, 16:22:36 time: 0.3922 data_time: 0.0128 memory: 17007 grad_norm: 6.7324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6694 loss: 1.6694 2022/07/28 03:57:11 - mmengine - INFO - Epoch(train) [83][2180/3757] lr: 5.6959e-03 eta: 1 day, 16:22:28 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 7.0842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9168 loss: 1.9168 2022/07/28 03:57:19 - mmengine - INFO - Epoch(train) [83][2200/3757] lr: 5.6959e-03 eta: 1 day, 16:22:20 time: 0.3971 data_time: 0.0157 memory: 17007 grad_norm: 7.0266 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8865 loss: 1.8865 2022/07/28 03:57:27 - mmengine - INFO - Epoch(train) [83][2220/3757] lr: 5.6959e-03 eta: 1 day, 16:22:12 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 6.8676 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0652 loss: 2.0652 2022/07/28 03:57:34 - mmengine - INFO - Epoch(train) [83][2240/3757] lr: 5.6959e-03 eta: 1 day, 16:22:04 time: 0.3924 data_time: 0.0146 memory: 17007 grad_norm: 7.2873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8596 loss: 1.8596 2022/07/28 03:57:42 - mmengine - INFO - Epoch(train) [83][2260/3757] lr: 5.6959e-03 eta: 1 day, 16:21:56 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.8138 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1472 loss: 2.1472 2022/07/28 03:57:50 - mmengine - INFO - Epoch(train) [83][2280/3757] lr: 5.6959e-03 eta: 1 day, 16:21:48 time: 0.3973 data_time: 0.0127 memory: 17007 grad_norm: 6.8515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7493 loss: 1.7493 2022/07/28 03:57:58 - mmengine - INFO - Epoch(train) [83][2300/3757] lr: 5.6959e-03 eta: 1 day, 16:21:40 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 7.2059 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1127 loss: 2.1127 2022/07/28 03:58:06 - mmengine - INFO - Epoch(train) [83][2320/3757] lr: 5.6959e-03 eta: 1 day, 16:21:32 time: 0.3945 data_time: 0.0126 memory: 17007 grad_norm: 7.0601 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9894 loss: 1.9894 2022/07/28 03:58:14 - mmengine - INFO - Epoch(train) [83][2340/3757] lr: 5.6959e-03 eta: 1 day, 16:21:24 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 7.1249 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0723 loss: 2.0723 2022/07/28 03:58:22 - mmengine - INFO - Epoch(train) [83][2360/3757] lr: 5.6959e-03 eta: 1 day, 16:21:16 time: 0.3943 data_time: 0.0137 memory: 17007 grad_norm: 6.9832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7617 loss: 1.7617 2022/07/28 03:58:30 - mmengine - INFO - Epoch(train) [83][2380/3757] lr: 5.6959e-03 eta: 1 day, 16:21:08 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 7.0923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0740 loss: 2.0740 2022/07/28 03:58:38 - mmengine - INFO - Epoch(train) [83][2400/3757] lr: 5.6959e-03 eta: 1 day, 16:21:00 time: 0.3959 data_time: 0.0156 memory: 17007 grad_norm: 6.8759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0120 loss: 2.0120 2022/07/28 03:58:46 - mmengine - INFO - Epoch(train) [83][2420/3757] lr: 5.6959e-03 eta: 1 day, 16:20:52 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 7.1135 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1773 loss: 2.1773 2022/07/28 03:58:53 - mmengine - INFO - Epoch(train) [83][2440/3757] lr: 5.6959e-03 eta: 1 day, 16:20:44 time: 0.3931 data_time: 0.0129 memory: 17007 grad_norm: 7.1441 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9625 loss: 1.9625 2022/07/28 03:59:01 - mmengine - INFO - Epoch(train) [83][2460/3757] lr: 5.6959e-03 eta: 1 day, 16:20:36 time: 0.3981 data_time: 0.0159 memory: 17007 grad_norm: 6.9011 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0681 loss: 2.0681 2022/07/28 03:59:09 - mmengine - INFO - Epoch(train) [83][2480/3757] lr: 5.6959e-03 eta: 1 day, 16:20:28 time: 0.3933 data_time: 0.0140 memory: 17007 grad_norm: 6.9846 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2919 loss: 2.2919 2022/07/28 03:59:17 - mmengine - INFO - Epoch(train) [83][2500/3757] lr: 5.6959e-03 eta: 1 day, 16:20:21 time: 0.4035 data_time: 0.0179 memory: 17007 grad_norm: 7.1870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9085 loss: 1.9085 2022/07/28 03:59:25 - mmengine - INFO - Epoch(train) [83][2520/3757] lr: 5.6959e-03 eta: 1 day, 16:20:13 time: 0.3986 data_time: 0.0169 memory: 17007 grad_norm: 7.0799 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0866 loss: 2.0866 2022/07/28 03:59:33 - mmengine - INFO - Epoch(train) [83][2540/3757] lr: 5.6959e-03 eta: 1 day, 16:20:05 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 6.8731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0327 loss: 2.0327 2022/07/28 03:59:41 - mmengine - INFO - Epoch(train) [83][2560/3757] lr: 5.6959e-03 eta: 1 day, 16:19:57 time: 0.3940 data_time: 0.0127 memory: 17007 grad_norm: 6.8499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7540 loss: 1.7540 2022/07/28 03:59:49 - mmengine - INFO - Epoch(train) [83][2580/3757] lr: 5.6959e-03 eta: 1 day, 16:19:49 time: 0.4065 data_time: 0.0155 memory: 17007 grad_norm: 6.9699 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0459 loss: 2.0459 2022/07/28 03:59:57 - mmengine - INFO - Epoch(train) [83][2600/3757] lr: 5.6959e-03 eta: 1 day, 16:19:41 time: 0.3969 data_time: 0.0137 memory: 17007 grad_norm: 7.4513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9248 loss: 1.9248 2022/07/28 04:00:05 - mmengine - INFO - Epoch(train) [83][2620/3757] lr: 5.6959e-03 eta: 1 day, 16:19:33 time: 0.3941 data_time: 0.0159 memory: 17007 grad_norm: 7.1055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9048 loss: 1.9048 2022/07/28 04:00:13 - mmengine - INFO - Epoch(train) [83][2640/3757] lr: 5.6959e-03 eta: 1 day, 16:19:25 time: 0.3941 data_time: 0.0123 memory: 17007 grad_norm: 7.2180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3496 loss: 2.3496 2022/07/28 04:00:21 - mmengine - INFO - Epoch(train) [83][2660/3757] lr: 5.6959e-03 eta: 1 day, 16:19:17 time: 0.3957 data_time: 0.0144 memory: 17007 grad_norm: 7.2394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4974 loss: 2.4974 2022/07/28 04:00:29 - mmengine - INFO - Epoch(train) [83][2680/3757] lr: 5.6959e-03 eta: 1 day, 16:19:09 time: 0.3937 data_time: 0.0132 memory: 17007 grad_norm: 7.0036 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9270 loss: 1.9270 2022/07/28 04:00:37 - mmengine - INFO - Epoch(train) [83][2700/3757] lr: 5.6959e-03 eta: 1 day, 16:19:01 time: 0.3966 data_time: 0.0167 memory: 17007 grad_norm: 7.1041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0365 loss: 2.0365 2022/07/28 04:00:45 - mmengine - INFO - Epoch(train) [83][2720/3757] lr: 5.6959e-03 eta: 1 day, 16:18:53 time: 0.3924 data_time: 0.0143 memory: 17007 grad_norm: 6.9460 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9531 loss: 1.9531 2022/07/28 04:00:52 - mmengine - INFO - Epoch(train) [83][2740/3757] lr: 5.6959e-03 eta: 1 day, 16:18:45 time: 0.3933 data_time: 0.0148 memory: 17007 grad_norm: 7.3223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0685 loss: 2.0685 2022/07/28 04:01:00 - mmengine - INFO - Epoch(train) [83][2760/3757] lr: 5.6959e-03 eta: 1 day, 16:18:37 time: 0.3997 data_time: 0.0129 memory: 17007 grad_norm: 7.4092 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4957 loss: 2.4957 2022/07/28 04:01:08 - mmengine - INFO - Epoch(train) [83][2780/3757] lr: 5.6959e-03 eta: 1 day, 16:18:29 time: 0.3953 data_time: 0.0154 memory: 17007 grad_norm: 7.0953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9062 loss: 1.9062 2022/07/28 04:01:16 - mmengine - INFO - Epoch(train) [83][2800/3757] lr: 5.6959e-03 eta: 1 day, 16:18:21 time: 0.4045 data_time: 0.0149 memory: 17007 grad_norm: 6.9356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1490 loss: 2.1490 2022/07/28 04:01:24 - mmengine - INFO - Epoch(train) [83][2820/3757] lr: 5.6959e-03 eta: 1 day, 16:18:13 time: 0.3932 data_time: 0.0148 memory: 17007 grad_norm: 6.9889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8484 loss: 1.8484 2022/07/28 04:01:32 - mmengine - INFO - Epoch(train) [83][2840/3757] lr: 5.6959e-03 eta: 1 day, 16:18:05 time: 0.3965 data_time: 0.0142 memory: 17007 grad_norm: 7.2072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1488 loss: 2.1488 2022/07/28 04:01:40 - mmengine - INFO - Epoch(train) [83][2860/3757] lr: 5.6959e-03 eta: 1 day, 16:17:57 time: 0.3988 data_time: 0.0162 memory: 17007 grad_norm: 6.9749 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0539 loss: 2.0539 2022/07/28 04:01:48 - mmengine - INFO - Epoch(train) [83][2880/3757] lr: 5.6959e-03 eta: 1 day, 16:17:49 time: 0.3928 data_time: 0.0132 memory: 17007 grad_norm: 7.1778 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9748 loss: 1.9748 2022/07/28 04:01:57 - mmengine - INFO - Epoch(train) [83][2900/3757] lr: 5.6959e-03 eta: 1 day, 16:17:42 time: 0.4192 data_time: 0.0167 memory: 17007 grad_norm: 7.0684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9323 loss: 1.9323 2022/07/28 04:02:04 - mmengine - INFO - Epoch(train) [83][2920/3757] lr: 5.6959e-03 eta: 1 day, 16:17:34 time: 0.3942 data_time: 0.0148 memory: 17007 grad_norm: 7.1281 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2527 loss: 2.2527 2022/07/28 04:02:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:02:12 - mmengine - INFO - Epoch(train) [83][2940/3757] lr: 5.6959e-03 eta: 1 day, 16:17:26 time: 0.3946 data_time: 0.0157 memory: 17007 grad_norm: 7.1509 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1447 loss: 2.1447 2022/07/28 04:02:21 - mmengine - INFO - Epoch(train) [83][2960/3757] lr: 5.6959e-03 eta: 1 day, 16:17:18 time: 0.4123 data_time: 0.0162 memory: 17007 grad_norm: 6.9446 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7749 loss: 1.7749 2022/07/28 04:02:29 - mmengine - INFO - Epoch(train) [83][2980/3757] lr: 5.6959e-03 eta: 1 day, 16:17:10 time: 0.3986 data_time: 0.0161 memory: 17007 grad_norm: 7.0912 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8779 loss: 1.8779 2022/07/28 04:02:37 - mmengine - INFO - Epoch(train) [83][3000/3757] lr: 5.6959e-03 eta: 1 day, 16:17:03 time: 0.4010 data_time: 0.0139 memory: 17007 grad_norm: 7.0189 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8171 loss: 1.8171 2022/07/28 04:02:44 - mmengine - INFO - Epoch(train) [83][3020/3757] lr: 5.6959e-03 eta: 1 day, 16:16:55 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 6.7857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3395 loss: 2.3395 2022/07/28 04:02:52 - mmengine - INFO - Epoch(train) [83][3040/3757] lr: 5.6959e-03 eta: 1 day, 16:16:47 time: 0.3989 data_time: 0.0123 memory: 17007 grad_norm: 7.2327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4298 loss: 2.4298 2022/07/28 04:03:01 - mmengine - INFO - Epoch(train) [83][3060/3757] lr: 5.6959e-03 eta: 1 day, 16:16:39 time: 0.4163 data_time: 0.0173 memory: 17007 grad_norm: 6.8839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7628 loss: 1.7628 2022/07/28 04:03:09 - mmengine - INFO - Epoch(train) [83][3080/3757] lr: 5.6959e-03 eta: 1 day, 16:16:31 time: 0.3939 data_time: 0.0145 memory: 17007 grad_norm: 7.0719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0420 loss: 2.0420 2022/07/28 04:03:17 - mmengine - INFO - Epoch(train) [83][3100/3757] lr: 5.6959e-03 eta: 1 day, 16:16:24 time: 0.4248 data_time: 0.0171 memory: 17007 grad_norm: 7.1053 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2513 loss: 2.2513 2022/07/28 04:03:25 - mmengine - INFO - Epoch(train) [83][3120/3757] lr: 5.6959e-03 eta: 1 day, 16:16:16 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 7.1424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8598 loss: 1.8598 2022/07/28 04:03:33 - mmengine - INFO - Epoch(train) [83][3140/3757] lr: 5.6959e-03 eta: 1 day, 16:16:08 time: 0.3963 data_time: 0.0149 memory: 17007 grad_norm: 7.1074 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0689 loss: 2.0689 2022/07/28 04:03:41 - mmengine - INFO - Epoch(train) [83][3160/3757] lr: 5.6959e-03 eta: 1 day, 16:16:00 time: 0.4017 data_time: 0.0138 memory: 17007 grad_norm: 7.3559 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9308 loss: 1.9308 2022/07/28 04:03:49 - mmengine - INFO - Epoch(train) [83][3180/3757] lr: 5.6959e-03 eta: 1 day, 16:15:52 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 6.7988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8402 loss: 1.8402 2022/07/28 04:03:57 - mmengine - INFO - Epoch(train) [83][3200/3757] lr: 5.6959e-03 eta: 1 day, 16:15:44 time: 0.4115 data_time: 0.0133 memory: 17007 grad_norm: 7.0439 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2585 loss: 2.2585 2022/07/28 04:04:05 - mmengine - INFO - Epoch(train) [83][3220/3757] lr: 5.6959e-03 eta: 1 day, 16:15:36 time: 0.3950 data_time: 0.0161 memory: 17007 grad_norm: 7.0046 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9259 loss: 1.9259 2022/07/28 04:04:13 - mmengine - INFO - Epoch(train) [83][3240/3757] lr: 5.6959e-03 eta: 1 day, 16:15:28 time: 0.3930 data_time: 0.0134 memory: 17007 grad_norm: 7.0639 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2556 loss: 2.2556 2022/07/28 04:04:21 - mmengine - INFO - Epoch(train) [83][3260/3757] lr: 5.6959e-03 eta: 1 day, 16:15:20 time: 0.3990 data_time: 0.0163 memory: 17007 grad_norm: 7.0589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7836 loss: 1.7836 2022/07/28 04:04:29 - mmengine - INFO - Epoch(train) [83][3280/3757] lr: 5.6959e-03 eta: 1 day, 16:15:12 time: 0.3918 data_time: 0.0146 memory: 17007 grad_norm: 7.0625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0246 loss: 2.0246 2022/07/28 04:04:37 - mmengine - INFO - Epoch(train) [83][3300/3757] lr: 5.6959e-03 eta: 1 day, 16:15:05 time: 0.4065 data_time: 0.0162 memory: 17007 grad_norm: 7.3144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0257 loss: 2.0257 2022/07/28 04:04:45 - mmengine - INFO - Epoch(train) [83][3320/3757] lr: 5.6959e-03 eta: 1 day, 16:14:57 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 7.1585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1953 loss: 2.1953 2022/07/28 04:04:53 - mmengine - INFO - Epoch(train) [83][3340/3757] lr: 5.6959e-03 eta: 1 day, 16:14:49 time: 0.3948 data_time: 0.0149 memory: 17007 grad_norm: 7.3662 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3304 loss: 2.3304 2022/07/28 04:05:01 - mmengine - INFO - Epoch(train) [83][3360/3757] lr: 5.6959e-03 eta: 1 day, 16:14:41 time: 0.3954 data_time: 0.0148 memory: 17007 grad_norm: 7.4167 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1080 loss: 2.1080 2022/07/28 04:05:09 - mmengine - INFO - Epoch(train) [83][3380/3757] lr: 5.6959e-03 eta: 1 day, 16:14:33 time: 0.3968 data_time: 0.0161 memory: 17007 grad_norm: 7.0172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0539 loss: 2.0539 2022/07/28 04:05:16 - mmengine - INFO - Epoch(train) [83][3400/3757] lr: 5.6959e-03 eta: 1 day, 16:14:25 time: 0.3930 data_time: 0.0131 memory: 17007 grad_norm: 7.2070 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9074 loss: 1.9074 2022/07/28 04:05:24 - mmengine - INFO - Epoch(train) [83][3420/3757] lr: 5.6959e-03 eta: 1 day, 16:14:17 time: 0.3926 data_time: 0.0154 memory: 17007 grad_norm: 7.0267 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9856 loss: 1.9856 2022/07/28 04:05:32 - mmengine - INFO - Epoch(train) [83][3440/3757] lr: 5.6959e-03 eta: 1 day, 16:14:09 time: 0.3961 data_time: 0.0125 memory: 17007 grad_norm: 7.0085 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2936 loss: 2.2936 2022/07/28 04:05:40 - mmengine - INFO - Epoch(train) [83][3460/3757] lr: 5.6959e-03 eta: 1 day, 16:14:01 time: 0.4019 data_time: 0.0160 memory: 17007 grad_norm: 7.2640 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8959 loss: 1.8959 2022/07/28 04:05:48 - mmengine - INFO - Epoch(train) [83][3480/3757] lr: 5.6959e-03 eta: 1 day, 16:13:53 time: 0.3933 data_time: 0.0132 memory: 17007 grad_norm: 7.3466 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9636 loss: 1.9636 2022/07/28 04:05:56 - mmengine - INFO - Epoch(train) [83][3500/3757] lr: 5.6959e-03 eta: 1 day, 16:13:45 time: 0.4017 data_time: 0.0158 memory: 17007 grad_norm: 6.9871 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0273 loss: 2.0273 2022/07/28 04:06:04 - mmengine - INFO - Epoch(train) [83][3520/3757] lr: 5.6959e-03 eta: 1 day, 16:13:37 time: 0.3919 data_time: 0.0130 memory: 17007 grad_norm: 7.4052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1836 loss: 2.1836 2022/07/28 04:06:12 - mmengine - INFO - Epoch(train) [83][3540/3757] lr: 5.6959e-03 eta: 1 day, 16:13:29 time: 0.3971 data_time: 0.0161 memory: 17007 grad_norm: 7.0195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7883 loss: 1.7883 2022/07/28 04:06:20 - mmengine - INFO - Epoch(train) [83][3560/3757] lr: 5.6959e-03 eta: 1 day, 16:13:21 time: 0.3990 data_time: 0.0145 memory: 17007 grad_norm: 6.9815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4501 loss: 2.4501 2022/07/28 04:06:28 - mmengine - INFO - Epoch(train) [83][3580/3757] lr: 5.6959e-03 eta: 1 day, 16:13:13 time: 0.4043 data_time: 0.0155 memory: 17007 grad_norm: 7.3395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0009 loss: 2.0009 2022/07/28 04:06:36 - mmengine - INFO - Epoch(train) [83][3600/3757] lr: 5.6959e-03 eta: 1 day, 16:13:05 time: 0.4014 data_time: 0.0130 memory: 17007 grad_norm: 7.0460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9215 loss: 1.9215 2022/07/28 04:06:44 - mmengine - INFO - Epoch(train) [83][3620/3757] lr: 5.6959e-03 eta: 1 day, 16:12:57 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 7.0131 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8286 loss: 1.8286 2022/07/28 04:06:53 - mmengine - INFO - Epoch(train) [83][3640/3757] lr: 5.6959e-03 eta: 1 day, 16:12:50 time: 0.4251 data_time: 0.0125 memory: 17007 grad_norm: 7.0881 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9985 loss: 1.9985 2022/07/28 04:07:00 - mmengine - INFO - Epoch(train) [83][3660/3757] lr: 5.6959e-03 eta: 1 day, 16:12:42 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 6.9686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1078 loss: 2.1078 2022/07/28 04:07:08 - mmengine - INFO - Epoch(train) [83][3680/3757] lr: 5.6959e-03 eta: 1 day, 16:12:34 time: 0.3933 data_time: 0.0141 memory: 17007 grad_norm: 7.1384 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0344 loss: 2.0344 2022/07/28 04:07:16 - mmengine - INFO - Epoch(train) [83][3700/3757] lr: 5.6959e-03 eta: 1 day, 16:12:26 time: 0.4043 data_time: 0.0159 memory: 17007 grad_norm: 7.0453 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2212 loss: 2.2212 2022/07/28 04:07:24 - mmengine - INFO - Epoch(train) [83][3720/3757] lr: 5.6959e-03 eta: 1 day, 16:12:18 time: 0.3926 data_time: 0.0130 memory: 17007 grad_norm: 6.9484 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8812 loss: 1.8812 2022/07/28 04:07:32 - mmengine - INFO - Epoch(train) [83][3740/3757] lr: 5.6959e-03 eta: 1 day, 16:12:10 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 7.1607 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0628 loss: 2.0628 2022/07/28 04:07:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:07:39 - mmengine - INFO - Epoch(train) [83][3757/3757] lr: 5.6959e-03 eta: 1 day, 16:12:10 time: 0.4171 data_time: 0.0133 memory: 17007 grad_norm: 7.0951 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.8785 loss: 1.8785 2022/07/28 04:07:39 - mmengine - INFO - Saving checkpoint at 83 epochs 2022/07/28 04:07:51 - mmengine - INFO - Epoch(train) [84][20/3757] lr: 5.6093e-03 eta: 1 day, 16:11:49 time: 0.4552 data_time: 0.0763 memory: 17007 grad_norm: 7.1320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0592 loss: 2.0592 2022/07/28 04:07:59 - mmengine - INFO - Epoch(train) [84][40/3757] lr: 5.6093e-03 eta: 1 day, 16:11:41 time: 0.4102 data_time: 0.0167 memory: 17007 grad_norm: 6.9264 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9494 loss: 1.9494 2022/07/28 04:08:07 - mmengine - INFO - Epoch(train) [84][60/3757] lr: 5.6093e-03 eta: 1 day, 16:11:33 time: 0.3917 data_time: 0.0137 memory: 17007 grad_norm: 7.1356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0016 loss: 2.0016 2022/07/28 04:08:15 - mmengine - INFO - Epoch(train) [84][80/3757] lr: 5.6093e-03 eta: 1 day, 16:11:25 time: 0.3944 data_time: 0.0146 memory: 17007 grad_norm: 6.8922 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7160 loss: 1.7160 2022/07/28 04:08:23 - mmengine - INFO - Epoch(train) [84][100/3757] lr: 5.6093e-03 eta: 1 day, 16:11:17 time: 0.4032 data_time: 0.0152 memory: 17007 grad_norm: 6.9320 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9150 loss: 1.9150 2022/07/28 04:08:31 - mmengine - INFO - Epoch(train) [84][120/3757] lr: 5.6093e-03 eta: 1 day, 16:11:10 time: 0.3957 data_time: 0.0170 memory: 17007 grad_norm: 7.1817 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8457 loss: 1.8457 2022/07/28 04:08:39 - mmengine - INFO - Epoch(train) [84][140/3757] lr: 5.6093e-03 eta: 1 day, 16:11:02 time: 0.3982 data_time: 0.0169 memory: 17007 grad_norm: 7.0857 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9888 loss: 1.9888 2022/07/28 04:08:47 - mmengine - INFO - Epoch(train) [84][160/3757] lr: 5.6093e-03 eta: 1 day, 16:10:54 time: 0.3943 data_time: 0.0158 memory: 17007 grad_norm: 7.0574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8619 loss: 1.8619 2022/07/28 04:08:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:08:54 - mmengine - INFO - Epoch(train) [84][180/3757] lr: 5.6093e-03 eta: 1 day, 16:10:46 time: 0.3934 data_time: 0.0148 memory: 17007 grad_norm: 7.0991 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9003 loss: 1.9003 2022/07/28 04:09:02 - mmengine - INFO - Epoch(train) [84][200/3757] lr: 5.6093e-03 eta: 1 day, 16:10:38 time: 0.3953 data_time: 0.0161 memory: 17007 grad_norm: 6.7209 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1385 loss: 2.1385 2022/07/28 04:09:10 - mmengine - INFO - Epoch(train) [84][220/3757] lr: 5.6093e-03 eta: 1 day, 16:10:30 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 6.8354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9749 loss: 1.9749 2022/07/28 04:09:18 - mmengine - INFO - Epoch(train) [84][240/3757] lr: 5.6093e-03 eta: 1 day, 16:10:22 time: 0.3978 data_time: 0.0161 memory: 17007 grad_norm: 6.9683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0240 loss: 2.0240 2022/07/28 04:09:26 - mmengine - INFO - Epoch(train) [84][260/3757] lr: 5.6093e-03 eta: 1 day, 16:10:14 time: 0.3955 data_time: 0.0144 memory: 17007 grad_norm: 6.8911 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2595 loss: 2.2595 2022/07/28 04:09:34 - mmengine - INFO - Epoch(train) [84][280/3757] lr: 5.6093e-03 eta: 1 day, 16:10:06 time: 0.3923 data_time: 0.0145 memory: 17007 grad_norm: 6.9665 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0628 loss: 2.0628 2022/07/28 04:09:42 - mmengine - INFO - Epoch(train) [84][300/3757] lr: 5.6093e-03 eta: 1 day, 16:09:58 time: 0.4010 data_time: 0.0151 memory: 17007 grad_norm: 7.0926 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0350 loss: 2.0350 2022/07/28 04:09:50 - mmengine - INFO - Epoch(train) [84][320/3757] lr: 5.6093e-03 eta: 1 day, 16:09:50 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 7.1604 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1203 loss: 2.1203 2022/07/28 04:09:58 - mmengine - INFO - Epoch(train) [84][340/3757] lr: 5.6093e-03 eta: 1 day, 16:09:42 time: 0.3924 data_time: 0.0153 memory: 17007 grad_norm: 7.0973 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0103 loss: 2.0103 2022/07/28 04:10:06 - mmengine - INFO - Epoch(train) [84][360/3757] lr: 5.6093e-03 eta: 1 day, 16:09:34 time: 0.3928 data_time: 0.0148 memory: 17007 grad_norm: 7.3145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1985 loss: 2.1985 2022/07/28 04:10:13 - mmengine - INFO - Epoch(train) [84][380/3757] lr: 5.6093e-03 eta: 1 day, 16:09:26 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 7.0663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8930 loss: 1.8930 2022/07/28 04:10:21 - mmengine - INFO - Epoch(train) [84][400/3757] lr: 5.6093e-03 eta: 1 day, 16:09:18 time: 0.3969 data_time: 0.0166 memory: 17007 grad_norm: 7.1495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0697 loss: 2.0697 2022/07/28 04:10:29 - mmengine - INFO - Epoch(train) [84][420/3757] lr: 5.6093e-03 eta: 1 day, 16:09:10 time: 0.3940 data_time: 0.0146 memory: 17007 grad_norm: 6.9915 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1239 loss: 2.1239 2022/07/28 04:10:37 - mmengine - INFO - Epoch(train) [84][440/3757] lr: 5.6093e-03 eta: 1 day, 16:09:02 time: 0.4014 data_time: 0.0157 memory: 17007 grad_norm: 7.0618 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2782 loss: 2.2782 2022/07/28 04:10:45 - mmengine - INFO - Epoch(train) [84][460/3757] lr: 5.6093e-03 eta: 1 day, 16:08:54 time: 0.3938 data_time: 0.0143 memory: 17007 grad_norm: 6.9244 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7144 loss: 1.7144 2022/07/28 04:10:53 - mmengine - INFO - Epoch(train) [84][480/3757] lr: 5.6093e-03 eta: 1 day, 16:08:46 time: 0.3934 data_time: 0.0142 memory: 17007 grad_norm: 7.4360 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2611 loss: 2.2611 2022/07/28 04:11:01 - mmengine - INFO - Epoch(train) [84][500/3757] lr: 5.6093e-03 eta: 1 day, 16:08:38 time: 0.3938 data_time: 0.0164 memory: 17007 grad_norm: 6.9256 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6888 loss: 1.6888 2022/07/28 04:11:09 - mmengine - INFO - Epoch(train) [84][520/3757] lr: 5.6093e-03 eta: 1 day, 16:08:30 time: 0.4006 data_time: 0.0183 memory: 17007 grad_norm: 7.1794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8646 loss: 1.8646 2022/07/28 04:11:17 - mmengine - INFO - Epoch(train) [84][540/3757] lr: 5.6093e-03 eta: 1 day, 16:08:22 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 7.5078 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2332 loss: 2.2332 2022/07/28 04:11:25 - mmengine - INFO - Epoch(train) [84][560/3757] lr: 5.6093e-03 eta: 1 day, 16:08:14 time: 0.3944 data_time: 0.0161 memory: 17007 grad_norm: 7.3716 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0479 loss: 2.0479 2022/07/28 04:11:33 - mmengine - INFO - Epoch(train) [84][580/3757] lr: 5.6093e-03 eta: 1 day, 16:08:06 time: 0.3928 data_time: 0.0148 memory: 17007 grad_norm: 7.0861 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1252 loss: 2.1252 2022/07/28 04:11:41 - mmengine - INFO - Epoch(train) [84][600/3757] lr: 5.6093e-03 eta: 1 day, 16:07:58 time: 0.4057 data_time: 0.0158 memory: 17007 grad_norm: 7.2434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7827 loss: 1.7827 2022/07/28 04:11:49 - mmengine - INFO - Epoch(train) [84][620/3757] lr: 5.6093e-03 eta: 1 day, 16:07:50 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 7.0293 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8532 loss: 1.8532 2022/07/28 04:11:57 - mmengine - INFO - Epoch(train) [84][640/3757] lr: 5.6093e-03 eta: 1 day, 16:07:42 time: 0.3969 data_time: 0.0161 memory: 17007 grad_norm: 6.9023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2166 loss: 2.2166 2022/07/28 04:12:04 - mmengine - INFO - Epoch(train) [84][660/3757] lr: 5.6093e-03 eta: 1 day, 16:07:34 time: 0.3925 data_time: 0.0144 memory: 17007 grad_norm: 6.9867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7121 loss: 1.7121 2022/07/28 04:12:12 - mmengine - INFO - Epoch(train) [84][680/3757] lr: 5.6093e-03 eta: 1 day, 16:07:26 time: 0.3943 data_time: 0.0146 memory: 17007 grad_norm: 7.0624 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0073 loss: 2.0073 2022/07/28 04:12:20 - mmengine - INFO - Epoch(train) [84][700/3757] lr: 5.6093e-03 eta: 1 day, 16:07:18 time: 0.3918 data_time: 0.0155 memory: 17007 grad_norm: 6.8909 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0028 loss: 2.0028 2022/07/28 04:12:28 - mmengine - INFO - Epoch(train) [84][720/3757] lr: 5.6093e-03 eta: 1 day, 16:07:10 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 6.8328 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8793 loss: 1.8793 2022/07/28 04:12:36 - mmengine - INFO - Epoch(train) [84][740/3757] lr: 5.6093e-03 eta: 1 day, 16:07:02 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 7.2524 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2361 loss: 2.2361 2022/07/28 04:12:44 - mmengine - INFO - Epoch(train) [84][760/3757] lr: 5.6093e-03 eta: 1 day, 16:06:54 time: 0.3979 data_time: 0.0193 memory: 17007 grad_norm: 7.0382 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2128 loss: 2.2128 2022/07/28 04:12:52 - mmengine - INFO - Epoch(train) [84][780/3757] lr: 5.6093e-03 eta: 1 day, 16:06:46 time: 0.4003 data_time: 0.0146 memory: 17007 grad_norm: 7.0318 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0581 loss: 2.0581 2022/07/28 04:13:00 - mmengine - INFO - Epoch(train) [84][800/3757] lr: 5.6093e-03 eta: 1 day, 16:06:38 time: 0.4003 data_time: 0.0185 memory: 17007 grad_norm: 7.0681 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8389 loss: 1.8389 2022/07/28 04:13:08 - mmengine - INFO - Epoch(train) [84][820/3757] lr: 5.6093e-03 eta: 1 day, 16:06:30 time: 0.3922 data_time: 0.0140 memory: 17007 grad_norm: 7.0524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2328 loss: 2.2328 2022/07/28 04:13:16 - mmengine - INFO - Epoch(train) [84][840/3757] lr: 5.6093e-03 eta: 1 day, 16:06:22 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 6.8673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6753 loss: 1.6753 2022/07/28 04:13:24 - mmengine - INFO - Epoch(train) [84][860/3757] lr: 5.6093e-03 eta: 1 day, 16:06:14 time: 0.4012 data_time: 0.0166 memory: 17007 grad_norm: 7.0290 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7518 loss: 1.7518 2022/07/28 04:13:32 - mmengine - INFO - Epoch(train) [84][880/3757] lr: 5.6093e-03 eta: 1 day, 16:06:06 time: 0.3979 data_time: 0.0153 memory: 17007 grad_norm: 7.2848 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9630 loss: 1.9630 2022/07/28 04:13:40 - mmengine - INFO - Epoch(train) [84][900/3757] lr: 5.6093e-03 eta: 1 day, 16:05:59 time: 0.3975 data_time: 0.0170 memory: 17007 grad_norm: 7.3585 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1602 loss: 2.1602 2022/07/28 04:13:48 - mmengine - INFO - Epoch(train) [84][920/3757] lr: 5.6093e-03 eta: 1 day, 16:05:50 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 6.9137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8932 loss: 1.8932 2022/07/28 04:13:55 - mmengine - INFO - Epoch(train) [84][940/3757] lr: 5.6093e-03 eta: 1 day, 16:05:42 time: 0.3928 data_time: 0.0147 memory: 17007 grad_norm: 7.2626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0520 loss: 2.0520 2022/07/28 04:14:04 - mmengine - INFO - Epoch(train) [84][960/3757] lr: 5.6093e-03 eta: 1 day, 16:05:35 time: 0.4035 data_time: 0.0164 memory: 17007 grad_norm: 7.0722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1301 loss: 2.1301 2022/07/28 04:14:11 - mmengine - INFO - Epoch(train) [84][980/3757] lr: 5.6093e-03 eta: 1 day, 16:05:27 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 6.9414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8697 loss: 1.8697 2022/07/28 04:14:19 - mmengine - INFO - Epoch(train) [84][1000/3757] lr: 5.6093e-03 eta: 1 day, 16:05:19 time: 0.4002 data_time: 0.0189 memory: 17007 grad_norm: 6.8484 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9005 loss: 1.9005 2022/07/28 04:14:27 - mmengine - INFO - Epoch(train) [84][1020/3757] lr: 5.6093e-03 eta: 1 day, 16:05:11 time: 0.4043 data_time: 0.0149 memory: 17007 grad_norm: 7.0147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9581 loss: 1.9581 2022/07/28 04:14:35 - mmengine - INFO - Epoch(train) [84][1040/3757] lr: 5.6093e-03 eta: 1 day, 16:05:03 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 7.3682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9682 loss: 1.9682 2022/07/28 04:14:43 - mmengine - INFO - Epoch(train) [84][1060/3757] lr: 5.6093e-03 eta: 1 day, 16:04:55 time: 0.3960 data_time: 0.0163 memory: 17007 grad_norm: 7.1060 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2982 loss: 2.2982 2022/07/28 04:14:51 - mmengine - INFO - Epoch(train) [84][1080/3757] lr: 5.6093e-03 eta: 1 day, 16:04:47 time: 0.3936 data_time: 0.0146 memory: 17007 grad_norm: 6.9658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7965 loss: 1.7965 2022/07/28 04:14:59 - mmengine - INFO - Epoch(train) [84][1100/3757] lr: 5.6093e-03 eta: 1 day, 16:04:39 time: 0.3948 data_time: 0.0148 memory: 17007 grad_norm: 6.8887 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1884 loss: 2.1884 2022/07/28 04:15:07 - mmengine - INFO - Epoch(train) [84][1120/3757] lr: 5.6093e-03 eta: 1 day, 16:04:31 time: 0.4107 data_time: 0.0154 memory: 17007 grad_norm: 7.0993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1854 loss: 2.1854 2022/07/28 04:15:15 - mmengine - INFO - Epoch(train) [84][1140/3757] lr: 5.6093e-03 eta: 1 day, 16:04:23 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 6.9428 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7601 loss: 1.7601 2022/07/28 04:15:23 - mmengine - INFO - Epoch(train) [84][1160/3757] lr: 5.6093e-03 eta: 1 day, 16:04:15 time: 0.3990 data_time: 0.0163 memory: 17007 grad_norm: 7.2716 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3841 loss: 2.3841 2022/07/28 04:15:27 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:15:31 - mmengine - INFO - Epoch(train) [84][1180/3757] lr: 5.6093e-03 eta: 1 day, 16:04:08 time: 0.4003 data_time: 0.0148 memory: 17007 grad_norm: 7.0158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8590 loss: 1.8590 2022/07/28 04:15:39 - mmengine - INFO - Epoch(train) [84][1200/3757] lr: 5.6093e-03 eta: 1 day, 16:04:00 time: 0.3968 data_time: 0.0165 memory: 17007 grad_norm: 7.2259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1652 loss: 2.1652 2022/07/28 04:15:47 - mmengine - INFO - Epoch(train) [84][1220/3757] lr: 5.6093e-03 eta: 1 day, 16:03:52 time: 0.3948 data_time: 0.0142 memory: 17007 grad_norm: 7.0313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1659 loss: 2.1659 2022/07/28 04:15:55 - mmengine - INFO - Epoch(train) [84][1240/3757] lr: 5.6093e-03 eta: 1 day, 16:03:44 time: 0.3941 data_time: 0.0157 memory: 17007 grad_norm: 7.0803 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0815 loss: 2.0815 2022/07/28 04:16:03 - mmengine - INFO - Epoch(train) [84][1260/3757] lr: 5.6093e-03 eta: 1 day, 16:03:36 time: 0.3975 data_time: 0.0158 memory: 17007 grad_norm: 6.8922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9818 loss: 1.9818 2022/07/28 04:16:11 - mmengine - INFO - Epoch(train) [84][1280/3757] lr: 5.6093e-03 eta: 1 day, 16:03:28 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 6.8512 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8536 loss: 1.8536 2022/07/28 04:16:19 - mmengine - INFO - Epoch(train) [84][1300/3757] lr: 5.6093e-03 eta: 1 day, 16:03:20 time: 0.4064 data_time: 0.0165 memory: 17007 grad_norm: 6.7688 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2470 loss: 2.2470 2022/07/28 04:16:27 - mmengine - INFO - Epoch(train) [84][1320/3757] lr: 5.6093e-03 eta: 1 day, 16:03:12 time: 0.3923 data_time: 0.0146 memory: 17007 grad_norm: 7.1199 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5943 loss: 1.5943 2022/07/28 04:16:35 - mmengine - INFO - Epoch(train) [84][1340/3757] lr: 5.6093e-03 eta: 1 day, 16:03:04 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 7.2983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0993 loss: 2.0993 2022/07/28 04:16:43 - mmengine - INFO - Epoch(train) [84][1360/3757] lr: 5.6093e-03 eta: 1 day, 16:02:56 time: 0.4054 data_time: 0.0166 memory: 17007 grad_norm: 7.2112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8103 loss: 1.8103 2022/07/28 04:16:51 - mmengine - INFO - Epoch(train) [84][1380/3757] lr: 5.6093e-03 eta: 1 day, 16:02:48 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 7.1656 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1666 loss: 2.1666 2022/07/28 04:16:59 - mmengine - INFO - Epoch(train) [84][1400/3757] lr: 5.6093e-03 eta: 1 day, 16:02:40 time: 0.4012 data_time: 0.0175 memory: 17007 grad_norm: 7.2340 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1945 loss: 2.1945 2022/07/28 04:17:07 - mmengine - INFO - Epoch(train) [84][1420/3757] lr: 5.6093e-03 eta: 1 day, 16:02:32 time: 0.3923 data_time: 0.0133 memory: 17007 grad_norm: 7.2986 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0830 loss: 2.0830 2022/07/28 04:17:14 - mmengine - INFO - Epoch(train) [84][1440/3757] lr: 5.6093e-03 eta: 1 day, 16:02:24 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 7.2320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0427 loss: 2.0427 2022/07/28 04:17:23 - mmengine - INFO - Epoch(train) [84][1460/3757] lr: 5.6093e-03 eta: 1 day, 16:02:16 time: 0.4092 data_time: 0.0150 memory: 17007 grad_norm: 7.0403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8091 loss: 1.8091 2022/07/28 04:17:31 - mmengine - INFO - Epoch(train) [84][1480/3757] lr: 5.6093e-03 eta: 1 day, 16:02:08 time: 0.3931 data_time: 0.0145 memory: 17007 grad_norm: 6.9267 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3925 loss: 2.3925 2022/07/28 04:17:39 - mmengine - INFO - Epoch(train) [84][1500/3757] lr: 5.6093e-03 eta: 1 day, 16:02:01 time: 0.4070 data_time: 0.0156 memory: 17007 grad_norm: 7.1066 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8275 loss: 1.8275 2022/07/28 04:17:47 - mmengine - INFO - Epoch(train) [84][1520/3757] lr: 5.6093e-03 eta: 1 day, 16:01:53 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 7.2155 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8347 loss: 1.8347 2022/07/28 04:17:54 - mmengine - INFO - Epoch(train) [84][1540/3757] lr: 5.6093e-03 eta: 1 day, 16:01:45 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 7.0642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7658 loss: 1.7658 2022/07/28 04:18:03 - mmengine - INFO - Epoch(train) [84][1560/3757] lr: 5.6093e-03 eta: 1 day, 16:01:37 time: 0.4046 data_time: 0.0154 memory: 17007 grad_norm: 7.1102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0438 loss: 2.0438 2022/07/28 04:18:10 - mmengine - INFO - Epoch(train) [84][1580/3757] lr: 5.6093e-03 eta: 1 day, 16:01:29 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 7.1433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9362 loss: 1.9362 2022/07/28 04:18:18 - mmengine - INFO - Epoch(train) [84][1600/3757] lr: 5.6093e-03 eta: 1 day, 16:01:21 time: 0.4028 data_time: 0.0165 memory: 17007 grad_norm: 7.0778 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9801 loss: 1.9801 2022/07/28 04:18:26 - mmengine - INFO - Epoch(train) [84][1620/3757] lr: 5.6093e-03 eta: 1 day, 16:01:13 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 7.0127 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1754 loss: 2.1754 2022/07/28 04:18:34 - mmengine - INFO - Epoch(train) [84][1640/3757] lr: 5.6093e-03 eta: 1 day, 16:01:05 time: 0.3925 data_time: 0.0148 memory: 17007 grad_norm: 6.8816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0055 loss: 2.0055 2022/07/28 04:18:42 - mmengine - INFO - Epoch(train) [84][1660/3757] lr: 5.6093e-03 eta: 1 day, 16:00:57 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 7.3168 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2061 loss: 2.2061 2022/07/28 04:18:50 - mmengine - INFO - Epoch(train) [84][1680/3757] lr: 5.6093e-03 eta: 1 day, 16:00:49 time: 0.3951 data_time: 0.0153 memory: 17007 grad_norm: 7.2582 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2967 loss: 2.2967 2022/07/28 04:18:58 - mmengine - INFO - Epoch(train) [84][1700/3757] lr: 5.6093e-03 eta: 1 day, 16:00:41 time: 0.4066 data_time: 0.0162 memory: 17007 grad_norm: 6.9353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7098 loss: 1.7098 2022/07/28 04:19:06 - mmengine - INFO - Epoch(train) [84][1720/3757] lr: 5.6093e-03 eta: 1 day, 16:00:33 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 6.8906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2923 loss: 2.2923 2022/07/28 04:19:14 - mmengine - INFO - Epoch(train) [84][1740/3757] lr: 5.6093e-03 eta: 1 day, 16:00:25 time: 0.3939 data_time: 0.0143 memory: 17007 grad_norm: 7.3422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0958 loss: 2.0958 2022/07/28 04:19:22 - mmengine - INFO - Epoch(train) [84][1760/3757] lr: 5.6093e-03 eta: 1 day, 16:00:17 time: 0.4001 data_time: 0.0176 memory: 17007 grad_norm: 7.0355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8681 loss: 1.8681 2022/07/28 04:19:30 - mmengine - INFO - Epoch(train) [84][1780/3757] lr: 5.6093e-03 eta: 1 day, 16:00:09 time: 0.3963 data_time: 0.0145 memory: 17007 grad_norm: 7.1333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9971 loss: 1.9971 2022/07/28 04:19:38 - mmengine - INFO - Epoch(train) [84][1800/3757] lr: 5.6093e-03 eta: 1 day, 16:00:02 time: 0.4077 data_time: 0.0162 memory: 17007 grad_norm: 7.2745 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0777 loss: 2.0777 2022/07/28 04:19:46 - mmengine - INFO - Epoch(train) [84][1820/3757] lr: 5.6093e-03 eta: 1 day, 15:59:54 time: 0.3933 data_time: 0.0149 memory: 17007 grad_norm: 7.1376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9990 loss: 1.9990 2022/07/28 04:19:54 - mmengine - INFO - Epoch(train) [84][1840/3757] lr: 5.6093e-03 eta: 1 day, 15:59:46 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 7.2740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9803 loss: 1.9803 2022/07/28 04:20:02 - mmengine - INFO - Epoch(train) [84][1860/3757] lr: 5.6093e-03 eta: 1 day, 15:59:38 time: 0.4000 data_time: 0.0173 memory: 17007 grad_norm: 7.1518 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9670 loss: 1.9670 2022/07/28 04:20:10 - mmengine - INFO - Epoch(train) [84][1880/3757] lr: 5.6093e-03 eta: 1 day, 15:59:30 time: 0.3950 data_time: 0.0162 memory: 17007 grad_norm: 7.1983 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0840 loss: 2.0840 2022/07/28 04:20:18 - mmengine - INFO - Epoch(train) [84][1900/3757] lr: 5.6093e-03 eta: 1 day, 15:59:22 time: 0.4124 data_time: 0.0163 memory: 17007 grad_norm: 7.0641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9694 loss: 1.9694 2022/07/28 04:20:26 - mmengine - INFO - Epoch(train) [84][1920/3757] lr: 5.6093e-03 eta: 1 day, 15:59:14 time: 0.3958 data_time: 0.0163 memory: 17007 grad_norm: 6.8359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3734 loss: 2.3734 2022/07/28 04:20:34 - mmengine - INFO - Epoch(train) [84][1940/3757] lr: 5.6093e-03 eta: 1 day, 15:59:06 time: 0.3931 data_time: 0.0141 memory: 17007 grad_norm: 6.8362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9425 loss: 1.9425 2022/07/28 04:20:42 - mmengine - INFO - Epoch(train) [84][1960/3757] lr: 5.6093e-03 eta: 1 day, 15:58:59 time: 0.4077 data_time: 0.0180 memory: 17007 grad_norm: 7.1350 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9336 loss: 1.9336 2022/07/28 04:20:50 - mmengine - INFO - Epoch(train) [84][1980/3757] lr: 5.6093e-03 eta: 1 day, 15:58:50 time: 0.3931 data_time: 0.0143 memory: 17007 grad_norm: 7.1596 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3250 loss: 2.3250 2022/07/28 04:20:58 - mmengine - INFO - Epoch(train) [84][2000/3757] lr: 5.6093e-03 eta: 1 day, 15:58:43 time: 0.4032 data_time: 0.0174 memory: 17007 grad_norm: 6.8189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2170 loss: 2.2170 2022/07/28 04:21:06 - mmengine - INFO - Epoch(train) [84][2020/3757] lr: 5.6093e-03 eta: 1 day, 15:58:35 time: 0.3930 data_time: 0.0144 memory: 17007 grad_norm: 7.0584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8326 loss: 1.8326 2022/07/28 04:21:14 - mmengine - INFO - Epoch(train) [84][2040/3757] lr: 5.6093e-03 eta: 1 day, 15:58:27 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 7.4195 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0194 loss: 2.0194 2022/07/28 04:21:22 - mmengine - INFO - Epoch(train) [84][2060/3757] lr: 5.6093e-03 eta: 1 day, 15:58:19 time: 0.3972 data_time: 0.0159 memory: 17007 grad_norm: 7.2030 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1605 loss: 2.1605 2022/07/28 04:21:29 - mmengine - INFO - Epoch(train) [84][2080/3757] lr: 5.6093e-03 eta: 1 day, 15:58:11 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 7.1656 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2559 loss: 2.2559 2022/07/28 04:21:38 - mmengine - INFO - Epoch(train) [84][2100/3757] lr: 5.6093e-03 eta: 1 day, 15:58:03 time: 0.4004 data_time: 0.0162 memory: 17007 grad_norm: 7.1454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1298 loss: 2.1298 2022/07/28 04:21:45 - mmengine - INFO - Epoch(train) [84][2120/3757] lr: 5.6093e-03 eta: 1 day, 15:57:55 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 6.9685 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8058 loss: 1.8058 2022/07/28 04:21:53 - mmengine - INFO - Epoch(train) [84][2140/3757] lr: 5.6093e-03 eta: 1 day, 15:57:47 time: 0.3926 data_time: 0.0145 memory: 17007 grad_norm: 7.3729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9688 loss: 1.9688 2022/07/28 04:22:01 - mmengine - INFO - Epoch(train) [84][2160/3757] lr: 5.6093e-03 eta: 1 day, 15:57:39 time: 0.4005 data_time: 0.0170 memory: 17007 grad_norm: 7.1324 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9368 loss: 1.9368 2022/07/28 04:22:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:22:09 - mmengine - INFO - Epoch(train) [84][2180/3757] lr: 5.6093e-03 eta: 1 day, 15:57:31 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 7.0575 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3216 loss: 2.3216 2022/07/28 04:22:17 - mmengine - INFO - Epoch(train) [84][2200/3757] lr: 5.6093e-03 eta: 1 day, 15:57:23 time: 0.3968 data_time: 0.0165 memory: 17007 grad_norm: 7.4868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9135 loss: 1.9135 2022/07/28 04:22:25 - mmengine - INFO - Epoch(train) [84][2220/3757] lr: 5.6093e-03 eta: 1 day, 15:57:15 time: 0.3973 data_time: 0.0141 memory: 17007 grad_norm: 7.0497 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8078 loss: 1.8078 2022/07/28 04:22:33 - mmengine - INFO - Epoch(train) [84][2240/3757] lr: 5.6093e-03 eta: 1 day, 15:57:07 time: 0.3941 data_time: 0.0146 memory: 17007 grad_norm: 7.0988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0724 loss: 2.0724 2022/07/28 04:22:41 - mmengine - INFO - Epoch(train) [84][2260/3757] lr: 5.6093e-03 eta: 1 day, 15:56:59 time: 0.4004 data_time: 0.0150 memory: 17007 grad_norm: 6.8442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1782 loss: 2.1782 2022/07/28 04:22:49 - mmengine - INFO - Epoch(train) [84][2280/3757] lr: 5.6093e-03 eta: 1 day, 15:56:51 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 7.2379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6772 loss: 1.6772 2022/07/28 04:22:57 - mmengine - INFO - Epoch(train) [84][2300/3757] lr: 5.6093e-03 eta: 1 day, 15:56:43 time: 0.3929 data_time: 0.0144 memory: 17007 grad_norm: 6.9781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0436 loss: 2.0436 2022/07/28 04:23:05 - mmengine - INFO - Epoch(train) [84][2320/3757] lr: 5.6093e-03 eta: 1 day, 15:56:35 time: 0.4021 data_time: 0.0164 memory: 17007 grad_norm: 6.9215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9539 loss: 1.9539 2022/07/28 04:23:13 - mmengine - INFO - Epoch(train) [84][2340/3757] lr: 5.6093e-03 eta: 1 day, 15:56:27 time: 0.3935 data_time: 0.0144 memory: 17007 grad_norm: 7.1475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7353 loss: 1.7353 2022/07/28 04:23:21 - mmengine - INFO - Epoch(train) [84][2360/3757] lr: 5.6093e-03 eta: 1 day, 15:56:19 time: 0.3953 data_time: 0.0166 memory: 17007 grad_norm: 7.2630 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8481 loss: 1.8481 2022/07/28 04:23:28 - mmengine - INFO - Epoch(train) [84][2380/3757] lr: 5.6093e-03 eta: 1 day, 15:56:11 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 7.3437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4677 loss: 2.4677 2022/07/28 04:23:36 - mmengine - INFO - Epoch(train) [84][2400/3757] lr: 5.6093e-03 eta: 1 day, 15:56:03 time: 0.3948 data_time: 0.0170 memory: 17007 grad_norm: 7.2351 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3307 loss: 2.3307 2022/07/28 04:23:44 - mmengine - INFO - Epoch(train) [84][2420/3757] lr: 5.6093e-03 eta: 1 day, 15:55:55 time: 0.4030 data_time: 0.0157 memory: 17007 grad_norm: 7.0527 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1137 loss: 2.1137 2022/07/28 04:23:52 - mmengine - INFO - Epoch(train) [84][2440/3757] lr: 5.6093e-03 eta: 1 day, 15:55:47 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 7.2096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8344 loss: 1.8344 2022/07/28 04:24:00 - mmengine - INFO - Epoch(train) [84][2460/3757] lr: 5.6093e-03 eta: 1 day, 15:55:39 time: 0.4000 data_time: 0.0157 memory: 17007 grad_norm: 7.1166 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0445 loss: 2.0445 2022/07/28 04:24:08 - mmengine - INFO - Epoch(train) [84][2480/3757] lr: 5.6093e-03 eta: 1 day, 15:55:31 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 7.0769 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7418 loss: 1.7418 2022/07/28 04:24:16 - mmengine - INFO - Epoch(train) [84][2500/3757] lr: 5.6093e-03 eta: 1 day, 15:55:23 time: 0.3947 data_time: 0.0162 memory: 17007 grad_norm: 7.2493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8796 loss: 1.8796 2022/07/28 04:24:24 - mmengine - INFO - Epoch(train) [84][2520/3757] lr: 5.6093e-03 eta: 1 day, 15:55:16 time: 0.4200 data_time: 0.0161 memory: 17007 grad_norm: 7.2204 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2498 loss: 2.2498 2022/07/28 04:24:32 - mmengine - INFO - Epoch(train) [84][2540/3757] lr: 5.6093e-03 eta: 1 day, 15:55:08 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.2615 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8781 loss: 1.8781 2022/07/28 04:24:40 - mmengine - INFO - Epoch(train) [84][2560/3757] lr: 5.6093e-03 eta: 1 day, 15:55:00 time: 0.3963 data_time: 0.0162 memory: 17007 grad_norm: 7.1994 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1710 loss: 2.1710 2022/07/28 04:24:48 - mmengine - INFO - Epoch(train) [84][2580/3757] lr: 5.6093e-03 eta: 1 day, 15:54:52 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 7.0757 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3103 loss: 2.3103 2022/07/28 04:24:56 - mmengine - INFO - Epoch(train) [84][2600/3757] lr: 5.6093e-03 eta: 1 day, 15:54:44 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 7.1959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0624 loss: 2.0624 2022/07/28 04:25:04 - mmengine - INFO - Epoch(train) [84][2620/3757] lr: 5.6093e-03 eta: 1 day, 15:54:36 time: 0.3957 data_time: 0.0145 memory: 17007 grad_norm: 6.9670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3066 loss: 2.3066 2022/07/28 04:25:12 - mmengine - INFO - Epoch(train) [84][2640/3757] lr: 5.6093e-03 eta: 1 day, 15:54:28 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 6.7478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8109 loss: 1.8109 2022/07/28 04:25:20 - mmengine - INFO - Epoch(train) [84][2660/3757] lr: 5.6093e-03 eta: 1 day, 15:54:20 time: 0.3987 data_time: 0.0145 memory: 17007 grad_norm: 7.0692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9439 loss: 1.9439 2022/07/28 04:25:28 - mmengine - INFO - Epoch(train) [84][2680/3757] lr: 5.6093e-03 eta: 1 day, 15:54:12 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 7.3696 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1058 loss: 2.1058 2022/07/28 04:25:36 - mmengine - INFO - Epoch(train) [84][2700/3757] lr: 5.6093e-03 eta: 1 day, 15:54:04 time: 0.3948 data_time: 0.0164 memory: 17007 grad_norm: 7.0208 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9093 loss: 1.9093 2022/07/28 04:25:44 - mmengine - INFO - Epoch(train) [84][2720/3757] lr: 5.6093e-03 eta: 1 day, 15:53:56 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 7.2891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0847 loss: 2.0847 2022/07/28 04:25:51 - mmengine - INFO - Epoch(train) [84][2740/3757] lr: 5.6093e-03 eta: 1 day, 15:53:48 time: 0.3943 data_time: 0.0142 memory: 17007 grad_norm: 7.1550 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0596 loss: 2.0596 2022/07/28 04:26:00 - mmengine - INFO - Epoch(train) [84][2760/3757] lr: 5.6093e-03 eta: 1 day, 15:53:40 time: 0.4007 data_time: 0.0181 memory: 17007 grad_norm: 7.0364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1521 loss: 2.1521 2022/07/28 04:26:07 - mmengine - INFO - Epoch(train) [84][2780/3757] lr: 5.6093e-03 eta: 1 day, 15:53:32 time: 0.3948 data_time: 0.0146 memory: 17007 grad_norm: 6.9681 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0480 loss: 2.0480 2022/07/28 04:26:15 - mmengine - INFO - Epoch(train) [84][2800/3757] lr: 5.6093e-03 eta: 1 day, 15:53:24 time: 0.3946 data_time: 0.0159 memory: 17007 grad_norm: 6.8996 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9226 loss: 1.9226 2022/07/28 04:26:23 - mmengine - INFO - Epoch(train) [84][2820/3757] lr: 5.6093e-03 eta: 1 day, 15:53:16 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 6.9791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8493 loss: 1.8493 2022/07/28 04:26:31 - mmengine - INFO - Epoch(train) [84][2840/3757] lr: 5.6093e-03 eta: 1 day, 15:53:09 time: 0.4117 data_time: 0.0160 memory: 17007 grad_norm: 7.3961 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0323 loss: 2.0323 2022/07/28 04:26:39 - mmengine - INFO - Epoch(train) [84][2860/3757] lr: 5.6093e-03 eta: 1 day, 15:53:01 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 7.1988 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7942 loss: 1.7942 2022/07/28 04:26:47 - mmengine - INFO - Epoch(train) [84][2880/3757] lr: 5.6093e-03 eta: 1 day, 15:52:53 time: 0.3942 data_time: 0.0152 memory: 17007 grad_norm: 6.9224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0826 loss: 2.0826 2022/07/28 04:26:55 - mmengine - INFO - Epoch(train) [84][2900/3757] lr: 5.6093e-03 eta: 1 day, 15:52:45 time: 0.3994 data_time: 0.0159 memory: 17007 grad_norm: 7.2433 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3008 loss: 2.3008 2022/07/28 04:27:03 - mmengine - INFO - Epoch(train) [84][2920/3757] lr: 5.6093e-03 eta: 1 day, 15:52:37 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 7.1514 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0049 loss: 2.0049 2022/07/28 04:27:11 - mmengine - INFO - Epoch(train) [84][2940/3757] lr: 5.6093e-03 eta: 1 day, 15:52:29 time: 0.3963 data_time: 0.0151 memory: 17007 grad_norm: 7.3222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0268 loss: 2.0268 2022/07/28 04:27:19 - mmengine - INFO - Epoch(train) [84][2960/3757] lr: 5.6093e-03 eta: 1 day, 15:52:21 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 6.8604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8789 loss: 1.8789 2022/07/28 04:27:27 - mmengine - INFO - Epoch(train) [84][2980/3757] lr: 5.6093e-03 eta: 1 day, 15:52:13 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 7.2169 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0275 loss: 2.0275 2022/07/28 04:27:35 - mmengine - INFO - Epoch(train) [84][3000/3757] lr: 5.6093e-03 eta: 1 day, 15:52:05 time: 0.3955 data_time: 0.0156 memory: 17007 grad_norm: 6.9789 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8770 loss: 1.8770 2022/07/28 04:27:43 - mmengine - INFO - Epoch(train) [84][3020/3757] lr: 5.6093e-03 eta: 1 day, 15:51:57 time: 0.4027 data_time: 0.0152 memory: 17007 grad_norm: 7.1498 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9576 loss: 1.9576 2022/07/28 04:27:51 - mmengine - INFO - Epoch(train) [84][3040/3757] lr: 5.6093e-03 eta: 1 day, 15:51:49 time: 0.4013 data_time: 0.0185 memory: 17007 grad_norm: 7.0370 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0004 loss: 2.0004 2022/07/28 04:27:59 - mmengine - INFO - Epoch(train) [84][3060/3757] lr: 5.6093e-03 eta: 1 day, 15:51:41 time: 0.3965 data_time: 0.0155 memory: 17007 grad_norm: 6.9841 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7521 loss: 1.7521 2022/07/28 04:28:07 - mmengine - INFO - Epoch(train) [84][3080/3757] lr: 5.6093e-03 eta: 1 day, 15:51:33 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 7.3231 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4582 loss: 2.4582 2022/07/28 04:28:15 - mmengine - INFO - Epoch(train) [84][3100/3757] lr: 5.6093e-03 eta: 1 day, 15:51:25 time: 0.3985 data_time: 0.0156 memory: 17007 grad_norm: 6.9672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9342 loss: 1.9342 2022/07/28 04:28:23 - mmengine - INFO - Epoch(train) [84][3120/3757] lr: 5.6093e-03 eta: 1 day, 15:51:17 time: 0.3970 data_time: 0.0146 memory: 17007 grad_norm: 7.0949 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8950 loss: 1.8950 2022/07/28 04:28:31 - mmengine - INFO - Epoch(train) [84][3140/3757] lr: 5.6093e-03 eta: 1 day, 15:51:09 time: 0.3961 data_time: 0.0161 memory: 17007 grad_norm: 6.8902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0601 loss: 2.0601 2022/07/28 04:28:38 - mmengine - INFO - Epoch(train) [84][3160/3757] lr: 5.6093e-03 eta: 1 day, 15:51:01 time: 0.3947 data_time: 0.0156 memory: 17007 grad_norm: 7.5427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0419 loss: 2.0419 2022/07/28 04:28:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:28:46 - mmengine - INFO - Epoch(train) [84][3180/3757] lr: 5.6093e-03 eta: 1 day, 15:50:53 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 7.5213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0062 loss: 2.0062 2022/07/28 04:28:54 - mmengine - INFO - Epoch(train) [84][3200/3757] lr: 5.6093e-03 eta: 1 day, 15:50:45 time: 0.3969 data_time: 0.0163 memory: 17007 grad_norm: 7.2585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9028 loss: 1.9028 2022/07/28 04:29:02 - mmengine - INFO - Epoch(train) [84][3220/3757] lr: 5.6093e-03 eta: 1 day, 15:50:37 time: 0.3949 data_time: 0.0152 memory: 17007 grad_norm: 7.3361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9881 loss: 1.9881 2022/07/28 04:29:10 - mmengine - INFO - Epoch(train) [84][3240/3757] lr: 5.6093e-03 eta: 1 day, 15:50:29 time: 0.3996 data_time: 0.0150 memory: 17007 grad_norm: 7.1957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2717 loss: 2.2717 2022/07/28 04:29:18 - mmengine - INFO - Epoch(train) [84][3260/3757] lr: 5.6093e-03 eta: 1 day, 15:50:22 time: 0.3979 data_time: 0.0143 memory: 17007 grad_norm: 7.0628 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0779 loss: 2.0779 2022/07/28 04:29:26 - mmengine - INFO - Epoch(train) [84][3280/3757] lr: 5.6093e-03 eta: 1 day, 15:50:14 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 7.3916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2124 loss: 2.2124 2022/07/28 04:29:34 - mmengine - INFO - Epoch(train) [84][3300/3757] lr: 5.6093e-03 eta: 1 day, 15:50:06 time: 0.3953 data_time: 0.0138 memory: 17007 grad_norm: 7.3205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0954 loss: 2.0954 2022/07/28 04:29:42 - mmengine - INFO - Epoch(train) [84][3320/3757] lr: 5.6093e-03 eta: 1 day, 15:49:58 time: 0.3998 data_time: 0.0154 memory: 17007 grad_norm: 7.0474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7415 loss: 1.7415 2022/07/28 04:29:50 - mmengine - INFO - Epoch(train) [84][3340/3757] lr: 5.6093e-03 eta: 1 day, 15:49:50 time: 0.3958 data_time: 0.0161 memory: 17007 grad_norm: 7.0684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0229 loss: 2.0229 2022/07/28 04:29:58 - mmengine - INFO - Epoch(train) [84][3360/3757] lr: 5.6093e-03 eta: 1 day, 15:49:42 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 7.3217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1503 loss: 2.1503 2022/07/28 04:30:06 - mmengine - INFO - Epoch(train) [84][3380/3757] lr: 5.6093e-03 eta: 1 day, 15:49:34 time: 0.3993 data_time: 0.0149 memory: 17007 grad_norm: 7.1554 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6547 loss: 1.6547 2022/07/28 04:30:14 - mmengine - INFO - Epoch(train) [84][3400/3757] lr: 5.6093e-03 eta: 1 day, 15:49:26 time: 0.3960 data_time: 0.0174 memory: 17007 grad_norm: 6.8183 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0244 loss: 2.0244 2022/07/28 04:30:22 - mmengine - INFO - Epoch(train) [84][3420/3757] lr: 5.6093e-03 eta: 1 day, 15:49:18 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 7.3542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8687 loss: 1.8687 2022/07/28 04:30:30 - mmengine - INFO - Epoch(train) [84][3440/3757] lr: 5.6093e-03 eta: 1 day, 15:49:10 time: 0.4002 data_time: 0.0161 memory: 17007 grad_norm: 6.8412 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7938 loss: 1.7938 2022/07/28 04:30:37 - mmengine - INFO - Epoch(train) [84][3460/3757] lr: 5.6093e-03 eta: 1 day, 15:49:02 time: 0.3927 data_time: 0.0135 memory: 17007 grad_norm: 7.0766 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0045 loss: 2.0045 2022/07/28 04:30:45 - mmengine - INFO - Epoch(train) [84][3480/3757] lr: 5.6093e-03 eta: 1 day, 15:48:54 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 7.1011 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1822 loss: 2.1822 2022/07/28 04:30:53 - mmengine - INFO - Epoch(train) [84][3500/3757] lr: 5.6093e-03 eta: 1 day, 15:48:46 time: 0.3961 data_time: 0.0149 memory: 17007 grad_norm: 7.2995 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1727 loss: 2.1727 2022/07/28 04:31:01 - mmengine - INFO - Epoch(train) [84][3520/3757] lr: 5.6093e-03 eta: 1 day, 15:48:38 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 7.1265 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8396 loss: 1.8396 2022/07/28 04:31:09 - mmengine - INFO - Epoch(train) [84][3540/3757] lr: 5.6093e-03 eta: 1 day, 15:48:30 time: 0.4011 data_time: 0.0150 memory: 17007 grad_norm: 7.0429 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9209 loss: 1.9209 2022/07/28 04:31:17 - mmengine - INFO - Epoch(train) [84][3560/3757] lr: 5.6093e-03 eta: 1 day, 15:48:22 time: 0.3930 data_time: 0.0156 memory: 17007 grad_norm: 7.1131 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2679 loss: 2.2679 2022/07/28 04:31:25 - mmengine - INFO - Epoch(train) [84][3580/3757] lr: 5.6093e-03 eta: 1 day, 15:48:14 time: 0.3937 data_time: 0.0151 memory: 17007 grad_norm: 6.9715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1907 loss: 2.1907 2022/07/28 04:31:33 - mmengine - INFO - Epoch(train) [84][3600/3757] lr: 5.6093e-03 eta: 1 day, 15:48:06 time: 0.3986 data_time: 0.0157 memory: 17007 grad_norm: 6.9934 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0819 loss: 2.0819 2022/07/28 04:31:41 - mmengine - INFO - Epoch(train) [84][3620/3757] lr: 5.6093e-03 eta: 1 day, 15:47:58 time: 0.3950 data_time: 0.0146 memory: 17007 grad_norm: 7.2075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8953 loss: 1.8953 2022/07/28 04:31:49 - mmengine - INFO - Epoch(train) [84][3640/3757] lr: 5.6093e-03 eta: 1 day, 15:47:50 time: 0.3956 data_time: 0.0159 memory: 17007 grad_norm: 6.9859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2601 loss: 2.2601 2022/07/28 04:31:57 - mmengine - INFO - Epoch(train) [84][3660/3757] lr: 5.6093e-03 eta: 1 day, 15:47:42 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 7.0020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8945 loss: 1.8945 2022/07/28 04:32:05 - mmengine - INFO - Epoch(train) [84][3680/3757] lr: 5.6093e-03 eta: 1 day, 15:47:34 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 7.0501 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9448 loss: 1.9448 2022/07/28 04:32:12 - mmengine - INFO - Epoch(train) [84][3700/3757] lr: 5.6093e-03 eta: 1 day, 15:47:26 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 7.1830 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8319 loss: 1.8319 2022/07/28 04:32:20 - mmengine - INFO - Epoch(train) [84][3720/3757] lr: 5.6093e-03 eta: 1 day, 15:47:18 time: 0.3957 data_time: 0.0151 memory: 17007 grad_norm: 7.3425 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0043 loss: 2.0043 2022/07/28 04:32:28 - mmengine - INFO - Epoch(train) [84][3740/3757] lr: 5.6093e-03 eta: 1 day, 15:47:10 time: 0.3926 data_time: 0.0146 memory: 17007 grad_norm: 6.8409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9934 loss: 1.9934 2022/07/28 04:32:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:32:35 - mmengine - INFO - Epoch(train) [84][3757/3757] lr: 5.6093e-03 eta: 1 day, 15:47:10 time: 0.3904 data_time: 0.0147 memory: 17007 grad_norm: 7.1261 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.1816 loss: 2.1816 2022/07/28 04:32:35 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/07/28 04:32:47 - mmengine - INFO - Epoch(train) [85][20/3757] lr: 5.5226e-03 eta: 1 day, 15:46:49 time: 0.4412 data_time: 0.0624 memory: 17007 grad_norm: 7.1622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8430 loss: 1.8430 2022/07/28 04:32:55 - mmengine - INFO - Epoch(train) [85][40/3757] lr: 5.5226e-03 eta: 1 day, 15:46:41 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 7.0818 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9925 loss: 1.9925 2022/07/28 04:33:03 - mmengine - INFO - Epoch(train) [85][60/3757] lr: 5.5226e-03 eta: 1 day, 15:46:33 time: 0.3948 data_time: 0.0150 memory: 17007 grad_norm: 6.9381 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2169 loss: 2.2169 2022/07/28 04:33:11 - mmengine - INFO - Epoch(train) [85][80/3757] lr: 5.5226e-03 eta: 1 day, 15:46:25 time: 0.3975 data_time: 0.0189 memory: 17007 grad_norm: 7.0148 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9220 loss: 1.9220 2022/07/28 04:33:19 - mmengine - INFO - Epoch(train) [85][100/3757] lr: 5.5226e-03 eta: 1 day, 15:46:17 time: 0.3956 data_time: 0.0150 memory: 17007 grad_norm: 7.0992 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1253 loss: 2.1253 2022/07/28 04:33:27 - mmengine - INFO - Epoch(train) [85][120/3757] lr: 5.5226e-03 eta: 1 day, 15:46:09 time: 0.3916 data_time: 0.0144 memory: 17007 grad_norm: 7.3696 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0953 loss: 2.0953 2022/07/28 04:33:35 - mmengine - INFO - Epoch(train) [85][140/3757] lr: 5.5226e-03 eta: 1 day, 15:46:01 time: 0.4049 data_time: 0.0163 memory: 17007 grad_norm: 6.9680 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6629 loss: 1.6629 2022/07/28 04:33:43 - mmengine - INFO - Epoch(train) [85][160/3757] lr: 5.5226e-03 eta: 1 day, 15:45:53 time: 0.4011 data_time: 0.0155 memory: 17007 grad_norm: 7.0829 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9286 loss: 1.9286 2022/07/28 04:33:51 - mmengine - INFO - Epoch(train) [85][180/3757] lr: 5.5226e-03 eta: 1 day, 15:45:45 time: 0.3971 data_time: 0.0159 memory: 17007 grad_norm: 7.2438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7047 loss: 1.7047 2022/07/28 04:33:59 - mmengine - INFO - Epoch(train) [85][200/3757] lr: 5.5226e-03 eta: 1 day, 15:45:37 time: 0.3943 data_time: 0.0148 memory: 17007 grad_norm: 7.2908 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7285 loss: 1.7285 2022/07/28 04:34:07 - mmengine - INFO - Epoch(train) [85][220/3757] lr: 5.5226e-03 eta: 1 day, 15:45:29 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.2241 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7852 loss: 1.7852 2022/07/28 04:34:15 - mmengine - INFO - Epoch(train) [85][240/3757] lr: 5.5226e-03 eta: 1 day, 15:45:21 time: 0.4007 data_time: 0.0208 memory: 17007 grad_norm: 7.4210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0815 loss: 2.0815 2022/07/28 04:34:23 - mmengine - INFO - Epoch(train) [85][260/3757] lr: 5.5226e-03 eta: 1 day, 15:45:13 time: 0.3964 data_time: 0.0153 memory: 17007 grad_norm: 6.9638 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9602 loss: 1.9602 2022/07/28 04:34:31 - mmengine - INFO - Epoch(train) [85][280/3757] lr: 5.5226e-03 eta: 1 day, 15:45:06 time: 0.4018 data_time: 0.0154 memory: 17007 grad_norm: 7.3564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5375 loss: 1.5375 2022/07/28 04:34:39 - mmengine - INFO - Epoch(train) [85][300/3757] lr: 5.5226e-03 eta: 1 day, 15:44:58 time: 0.3937 data_time: 0.0137 memory: 17007 grad_norm: 7.2971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8830 loss: 1.8830 2022/07/28 04:34:47 - mmengine - INFO - Epoch(train) [85][320/3757] lr: 5.5226e-03 eta: 1 day, 15:44:50 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 7.0901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7550 loss: 1.7550 2022/07/28 04:34:55 - mmengine - INFO - Epoch(train) [85][340/3757] lr: 5.5226e-03 eta: 1 day, 15:44:42 time: 0.3955 data_time: 0.0162 memory: 17007 grad_norm: 6.9366 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0004 loss: 2.0004 2022/07/28 04:35:02 - mmengine - INFO - Epoch(train) [85][360/3757] lr: 5.5226e-03 eta: 1 day, 15:44:34 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 6.9842 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9377 loss: 1.9377 2022/07/28 04:35:10 - mmengine - INFO - Epoch(train) [85][380/3757] lr: 5.5226e-03 eta: 1 day, 15:44:26 time: 0.3970 data_time: 0.0147 memory: 17007 grad_norm: 7.0270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8923 loss: 1.8923 2022/07/28 04:35:18 - mmengine - INFO - Epoch(train) [85][400/3757] lr: 5.5226e-03 eta: 1 day, 15:44:18 time: 0.3958 data_time: 0.0152 memory: 17007 grad_norm: 7.2362 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0414 loss: 2.0414 2022/07/28 04:35:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:35:26 - mmengine - INFO - Epoch(train) [85][420/3757] lr: 5.5226e-03 eta: 1 day, 15:44:10 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 7.3417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9541 loss: 1.9541 2022/07/28 04:35:34 - mmengine - INFO - Epoch(train) [85][440/3757] lr: 5.5226e-03 eta: 1 day, 15:44:02 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 7.2211 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3426 loss: 2.3426 2022/07/28 04:35:42 - mmengine - INFO - Epoch(train) [85][460/3757] lr: 5.5226e-03 eta: 1 day, 15:43:54 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 6.9423 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9573 loss: 1.9573 2022/07/28 04:35:50 - mmengine - INFO - Epoch(train) [85][480/3757] lr: 5.5226e-03 eta: 1 day, 15:43:46 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 7.0118 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9141 loss: 1.9141 2022/07/28 04:35:58 - mmengine - INFO - Epoch(train) [85][500/3757] lr: 5.5226e-03 eta: 1 day, 15:43:38 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 7.0423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9937 loss: 1.9937 2022/07/28 04:36:06 - mmengine - INFO - Epoch(train) [85][520/3757] lr: 5.5226e-03 eta: 1 day, 15:43:30 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 6.9792 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2156 loss: 2.2156 2022/07/28 04:36:14 - mmengine - INFO - Epoch(train) [85][540/3757] lr: 5.5226e-03 eta: 1 day, 15:43:22 time: 0.4097 data_time: 0.0166 memory: 17007 grad_norm: 6.8814 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9538 loss: 1.9538 2022/07/28 04:36:22 - mmengine - INFO - Epoch(train) [85][560/3757] lr: 5.5226e-03 eta: 1 day, 15:43:14 time: 0.3935 data_time: 0.0146 memory: 17007 grad_norm: 7.1604 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8182 loss: 1.8182 2022/07/28 04:36:30 - mmengine - INFO - Epoch(train) [85][580/3757] lr: 5.5226e-03 eta: 1 day, 15:43:06 time: 0.4175 data_time: 0.0144 memory: 17007 grad_norm: 7.0296 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1652 loss: 2.1652 2022/07/28 04:36:38 - mmengine - INFO - Epoch(train) [85][600/3757] lr: 5.5226e-03 eta: 1 day, 15:42:58 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 7.0890 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0545 loss: 2.0545 2022/07/28 04:36:46 - mmengine - INFO - Epoch(train) [85][620/3757] lr: 5.5226e-03 eta: 1 day, 15:42:50 time: 0.3963 data_time: 0.0159 memory: 17007 grad_norm: 7.0102 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0459 loss: 2.0459 2022/07/28 04:36:54 - mmengine - INFO - Epoch(train) [85][640/3757] lr: 5.5226e-03 eta: 1 day, 15:42:42 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 7.2302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2469 loss: 2.2469 2022/07/28 04:37:02 - mmengine - INFO - Epoch(train) [85][660/3757] lr: 5.5226e-03 eta: 1 day, 15:42:34 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 7.0906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9039 loss: 1.9039 2022/07/28 04:37:10 - mmengine - INFO - Epoch(train) [85][680/3757] lr: 5.5226e-03 eta: 1 day, 15:42:27 time: 0.3969 data_time: 0.0158 memory: 17007 grad_norm: 6.9876 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0054 loss: 2.0054 2022/07/28 04:37:18 - mmengine - INFO - Epoch(train) [85][700/3757] lr: 5.5226e-03 eta: 1 day, 15:42:19 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 7.3216 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7532 loss: 1.7532 2022/07/28 04:37:25 - mmengine - INFO - Epoch(train) [85][720/3757] lr: 5.5226e-03 eta: 1 day, 15:42:11 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 7.2427 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0886 loss: 2.0886 2022/07/28 04:37:33 - mmengine - INFO - Epoch(train) [85][740/3757] lr: 5.5226e-03 eta: 1 day, 15:42:02 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 7.0340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9513 loss: 1.9513 2022/07/28 04:37:41 - mmengine - INFO - Epoch(train) [85][760/3757] lr: 5.5226e-03 eta: 1 day, 15:41:54 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 6.9522 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8468 loss: 1.8468 2022/07/28 04:37:49 - mmengine - INFO - Epoch(train) [85][780/3757] lr: 5.5226e-03 eta: 1 day, 15:41:47 time: 0.3968 data_time: 0.0150 memory: 17007 grad_norm: 7.5093 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0170 loss: 2.0170 2022/07/28 04:37:57 - mmengine - INFO - Epoch(train) [85][800/3757] lr: 5.5226e-03 eta: 1 day, 15:41:39 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 7.0874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7855 loss: 1.7855 2022/07/28 04:38:05 - mmengine - INFO - Epoch(train) [85][820/3757] lr: 5.5226e-03 eta: 1 day, 15:41:31 time: 0.3966 data_time: 0.0150 memory: 17007 grad_norm: 7.0439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6776 loss: 1.6776 2022/07/28 04:38:13 - mmengine - INFO - Epoch(train) [85][840/3757] lr: 5.5226e-03 eta: 1 day, 15:41:23 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 7.0907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2490 loss: 2.2490 2022/07/28 04:38:21 - mmengine - INFO - Epoch(train) [85][860/3757] lr: 5.5226e-03 eta: 1 day, 15:41:15 time: 0.3992 data_time: 0.0159 memory: 17007 grad_norm: 7.0798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0348 loss: 2.0348 2022/07/28 04:38:29 - mmengine - INFO - Epoch(train) [85][880/3757] lr: 5.5226e-03 eta: 1 day, 15:41:07 time: 0.3962 data_time: 0.0145 memory: 17007 grad_norm: 7.2100 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0483 loss: 2.0483 2022/07/28 04:38:37 - mmengine - INFO - Epoch(train) [85][900/3757] lr: 5.5226e-03 eta: 1 day, 15:40:59 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 7.0782 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9357 loss: 1.9357 2022/07/28 04:38:45 - mmengine - INFO - Epoch(train) [85][920/3757] lr: 5.5226e-03 eta: 1 day, 15:40:51 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 7.3100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8716 loss: 1.8716 2022/07/28 04:38:53 - mmengine - INFO - Epoch(train) [85][940/3757] lr: 5.5226e-03 eta: 1 day, 15:40:43 time: 0.3947 data_time: 0.0160 memory: 17007 grad_norm: 7.2633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0290 loss: 2.0290 2022/07/28 04:39:01 - mmengine - INFO - Epoch(train) [85][960/3757] lr: 5.5226e-03 eta: 1 day, 15:40:35 time: 0.3991 data_time: 0.0154 memory: 17007 grad_norm: 7.3179 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0432 loss: 2.0432 2022/07/28 04:39:08 - mmengine - INFO - Epoch(train) [85][980/3757] lr: 5.5226e-03 eta: 1 day, 15:40:27 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 7.2459 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0703 loss: 2.0703 2022/07/28 04:39:16 - mmengine - INFO - Epoch(train) [85][1000/3757] lr: 5.5226e-03 eta: 1 day, 15:40:19 time: 0.3980 data_time: 0.0154 memory: 17007 grad_norm: 7.2112 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7502 loss: 1.7502 2022/07/28 04:39:24 - mmengine - INFO - Epoch(train) [85][1020/3757] lr: 5.5226e-03 eta: 1 day, 15:40:11 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 7.3241 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8187 loss: 1.8187 2022/07/28 04:39:32 - mmengine - INFO - Epoch(train) [85][1040/3757] lr: 5.5226e-03 eta: 1 day, 15:40:03 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 7.1673 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0869 loss: 2.0869 2022/07/28 04:39:41 - mmengine - INFO - Epoch(train) [85][1060/3757] lr: 5.5226e-03 eta: 1 day, 15:39:55 time: 0.4145 data_time: 0.0161 memory: 17007 grad_norm: 7.2429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7277 loss: 1.7277 2022/07/28 04:39:48 - mmengine - INFO - Epoch(train) [85][1080/3757] lr: 5.5226e-03 eta: 1 day, 15:39:47 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 6.9969 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7676 loss: 1.7676 2022/07/28 04:39:56 - mmengine - INFO - Epoch(train) [85][1100/3757] lr: 5.5226e-03 eta: 1 day, 15:39:39 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 7.0682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9536 loss: 1.9536 2022/07/28 04:40:04 - mmengine - INFO - Epoch(train) [85][1120/3757] lr: 5.5226e-03 eta: 1 day, 15:39:31 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 7.2488 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5270 loss: 2.5270 2022/07/28 04:40:12 - mmengine - INFO - Epoch(train) [85][1140/3757] lr: 5.5226e-03 eta: 1 day, 15:39:23 time: 0.3970 data_time: 0.0157 memory: 17007 grad_norm: 6.9302 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1525 loss: 2.1525 2022/07/28 04:40:20 - mmengine - INFO - Epoch(train) [85][1160/3757] lr: 5.5226e-03 eta: 1 day, 15:39:15 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 7.1545 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0974 loss: 2.0974 2022/07/28 04:40:28 - mmengine - INFO - Epoch(train) [85][1180/3757] lr: 5.5226e-03 eta: 1 day, 15:39:07 time: 0.3965 data_time: 0.0163 memory: 17007 grad_norm: 7.1694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1633 loss: 2.1633 2022/07/28 04:40:36 - mmengine - INFO - Epoch(train) [85][1200/3757] lr: 5.5226e-03 eta: 1 day, 15:38:59 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 7.3327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2875 loss: 2.2875 2022/07/28 04:40:44 - mmengine - INFO - Epoch(train) [85][1220/3757] lr: 5.5226e-03 eta: 1 day, 15:38:51 time: 0.3968 data_time: 0.0177 memory: 17007 grad_norm: 7.2229 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7734 loss: 1.7734 2022/07/28 04:40:52 - mmengine - INFO - Epoch(train) [85][1240/3757] lr: 5.5226e-03 eta: 1 day, 15:38:43 time: 0.3928 data_time: 0.0146 memory: 17007 grad_norm: 6.8741 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1028 loss: 2.1028 2022/07/28 04:41:00 - mmengine - INFO - Epoch(train) [85][1260/3757] lr: 5.5226e-03 eta: 1 day, 15:38:35 time: 0.3977 data_time: 0.0166 memory: 17007 grad_norm: 6.9144 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9646 loss: 1.9646 2022/07/28 04:41:08 - mmengine - INFO - Epoch(train) [85][1280/3757] lr: 5.5226e-03 eta: 1 day, 15:38:27 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 7.2359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9440 loss: 1.9440 2022/07/28 04:41:15 - mmengine - INFO - Epoch(train) [85][1300/3757] lr: 5.5226e-03 eta: 1 day, 15:38:19 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 7.1331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7117 loss: 1.7117 2022/07/28 04:41:23 - mmengine - INFO - Epoch(train) [85][1320/3757] lr: 5.5226e-03 eta: 1 day, 15:38:12 time: 0.3994 data_time: 0.0162 memory: 17007 grad_norm: 7.2889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8363 loss: 1.8363 2022/07/28 04:41:31 - mmengine - INFO - Epoch(train) [85][1340/3757] lr: 5.5226e-03 eta: 1 day, 15:38:04 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 6.9672 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7858 loss: 1.7858 2022/07/28 04:41:39 - mmengine - INFO - Epoch(train) [85][1360/3757] lr: 5.5226e-03 eta: 1 day, 15:37:56 time: 0.3962 data_time: 0.0161 memory: 17007 grad_norm: 7.4910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9698 loss: 1.9698 2022/07/28 04:41:47 - mmengine - INFO - Epoch(train) [85][1380/3757] lr: 5.5226e-03 eta: 1 day, 15:37:48 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 7.3387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9704 loss: 1.9704 2022/07/28 04:41:55 - mmengine - INFO - Epoch(train) [85][1400/3757] lr: 5.5226e-03 eta: 1 day, 15:37:40 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 7.0549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2712 loss: 2.2712 2022/07/28 04:42:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:42:03 - mmengine - INFO - Epoch(train) [85][1420/3757] lr: 5.5226e-03 eta: 1 day, 15:37:32 time: 0.4086 data_time: 0.0159 memory: 17007 grad_norm: 6.9747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0188 loss: 2.0188 2022/07/28 04:42:11 - mmengine - INFO - Epoch(train) [85][1440/3757] lr: 5.5226e-03 eta: 1 day, 15:37:24 time: 0.3922 data_time: 0.0142 memory: 17007 grad_norm: 6.9693 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7080 loss: 1.7080 2022/07/28 04:42:19 - mmengine - INFO - Epoch(train) [85][1460/3757] lr: 5.5226e-03 eta: 1 day, 15:37:16 time: 0.3944 data_time: 0.0146 memory: 17007 grad_norm: 7.0539 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1390 loss: 2.1390 2022/07/28 04:42:27 - mmengine - INFO - Epoch(train) [85][1480/3757] lr: 5.5226e-03 eta: 1 day, 15:37:08 time: 0.4094 data_time: 0.0145 memory: 17007 grad_norm: 6.7086 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7367 loss: 1.7367 2022/07/28 04:42:35 - mmengine - INFO - Epoch(train) [85][1500/3757] lr: 5.5226e-03 eta: 1 day, 15:37:00 time: 0.3929 data_time: 0.0146 memory: 17007 grad_norm: 6.7889 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2626 loss: 2.2626 2022/07/28 04:42:43 - mmengine - INFO - Epoch(train) [85][1520/3757] lr: 5.5226e-03 eta: 1 day, 15:36:52 time: 0.3965 data_time: 0.0157 memory: 17007 grad_norm: 7.1985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7713 loss: 1.7713 2022/07/28 04:42:51 - mmengine - INFO - Epoch(train) [85][1540/3757] lr: 5.5226e-03 eta: 1 day, 15:36:44 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 7.0058 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6994 loss: 1.6994 2022/07/28 04:42:59 - mmengine - INFO - Epoch(train) [85][1560/3757] lr: 5.5226e-03 eta: 1 day, 15:36:36 time: 0.3929 data_time: 0.0148 memory: 17007 grad_norm: 6.9896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0464 loss: 2.0464 2022/07/28 04:43:07 - mmengine - INFO - Epoch(train) [85][1580/3757] lr: 5.5226e-03 eta: 1 day, 15:36:28 time: 0.4017 data_time: 0.0162 memory: 17007 grad_norm: 7.3916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0485 loss: 2.0485 2022/07/28 04:43:15 - mmengine - INFO - Epoch(train) [85][1600/3757] lr: 5.5226e-03 eta: 1 day, 15:36:20 time: 0.3924 data_time: 0.0139 memory: 17007 grad_norm: 7.5295 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7758 loss: 1.7758 2022/07/28 04:43:23 - mmengine - INFO - Epoch(train) [85][1620/3757] lr: 5.5226e-03 eta: 1 day, 15:36:12 time: 0.3967 data_time: 0.0162 memory: 17007 grad_norm: 7.0933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9092 loss: 1.9092 2022/07/28 04:43:30 - mmengine - INFO - Epoch(train) [85][1640/3757] lr: 5.5226e-03 eta: 1 day, 15:36:04 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 6.9852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9334 loss: 1.9334 2022/07/28 04:43:38 - mmengine - INFO - Epoch(train) [85][1660/3757] lr: 5.5226e-03 eta: 1 day, 15:35:56 time: 0.3921 data_time: 0.0149 memory: 17007 grad_norm: 7.2189 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0936 loss: 2.0936 2022/07/28 04:43:46 - mmengine - INFO - Epoch(train) [85][1680/3757] lr: 5.5226e-03 eta: 1 day, 15:35:49 time: 0.4078 data_time: 0.0163 memory: 17007 grad_norm: 7.2090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1004 loss: 2.1004 2022/07/28 04:43:54 - mmengine - INFO - Epoch(train) [85][1700/3757] lr: 5.5226e-03 eta: 1 day, 15:35:40 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 6.9410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8771 loss: 1.8771 2022/07/28 04:44:02 - mmengine - INFO - Epoch(train) [85][1720/3757] lr: 5.5226e-03 eta: 1 day, 15:35:33 time: 0.4017 data_time: 0.0160 memory: 17007 grad_norm: 7.0090 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0018 loss: 2.0018 2022/07/28 04:44:10 - mmengine - INFO - Epoch(train) [85][1740/3757] lr: 5.5226e-03 eta: 1 day, 15:35:25 time: 0.3931 data_time: 0.0144 memory: 17007 grad_norm: 7.3977 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4280 loss: 2.4280 2022/07/28 04:44:18 - mmengine - INFO - Epoch(train) [85][1760/3757] lr: 5.5226e-03 eta: 1 day, 15:35:17 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 6.7717 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9637 loss: 1.9637 2022/07/28 04:44:26 - mmengine - INFO - Epoch(train) [85][1780/3757] lr: 5.5226e-03 eta: 1 day, 15:35:09 time: 0.4172 data_time: 0.0165 memory: 17007 grad_norm: 6.9496 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8434 loss: 1.8434 2022/07/28 04:44:34 - mmengine - INFO - Epoch(train) [85][1800/3757] lr: 5.5226e-03 eta: 1 day, 15:35:01 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 7.1202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2745 loss: 2.2745 2022/07/28 04:44:42 - mmengine - INFO - Epoch(train) [85][1820/3757] lr: 5.5226e-03 eta: 1 day, 15:34:53 time: 0.3960 data_time: 0.0159 memory: 17007 grad_norm: 7.1334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8429 loss: 1.8429 2022/07/28 04:44:50 - mmengine - INFO - Epoch(train) [85][1840/3757] lr: 5.5226e-03 eta: 1 day, 15:34:45 time: 0.3974 data_time: 0.0158 memory: 17007 grad_norm: 7.0719 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9757 loss: 1.9757 2022/07/28 04:44:58 - mmengine - INFO - Epoch(train) [85][1860/3757] lr: 5.5226e-03 eta: 1 day, 15:34:37 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 7.0662 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0571 loss: 2.0571 2022/07/28 04:45:06 - mmengine - INFO - Epoch(train) [85][1880/3757] lr: 5.5226e-03 eta: 1 day, 15:34:29 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 7.0087 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1258 loss: 2.1258 2022/07/28 04:45:14 - mmengine - INFO - Epoch(train) [85][1900/3757] lr: 5.5226e-03 eta: 1 day, 15:34:21 time: 0.4049 data_time: 0.0153 memory: 17007 grad_norm: 7.1677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8796 loss: 1.8796 2022/07/28 04:45:22 - mmengine - INFO - Epoch(train) [85][1920/3757] lr: 5.5226e-03 eta: 1 day, 15:34:14 time: 0.4092 data_time: 0.0154 memory: 17007 grad_norm: 7.1664 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0271 loss: 2.0271 2022/07/28 04:45:30 - mmengine - INFO - Epoch(train) [85][1940/3757] lr: 5.5226e-03 eta: 1 day, 15:34:06 time: 0.3977 data_time: 0.0157 memory: 17007 grad_norm: 6.9327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1845 loss: 2.1845 2022/07/28 04:45:38 - mmengine - INFO - Epoch(train) [85][1960/3757] lr: 5.5226e-03 eta: 1 day, 15:33:58 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 7.0658 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6889 loss: 1.6889 2022/07/28 04:45:46 - mmengine - INFO - Epoch(train) [85][1980/3757] lr: 5.5226e-03 eta: 1 day, 15:33:50 time: 0.3949 data_time: 0.0167 memory: 17007 grad_norm: 7.1884 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8560 loss: 1.8560 2022/07/28 04:45:54 - mmengine - INFO - Epoch(train) [85][2000/3757] lr: 5.5226e-03 eta: 1 day, 15:33:42 time: 0.3994 data_time: 0.0150 memory: 17007 grad_norm: 6.9689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9739 loss: 1.9739 2022/07/28 04:46:02 - mmengine - INFO - Epoch(train) [85][2020/3757] lr: 5.5226e-03 eta: 1 day, 15:33:34 time: 0.3961 data_time: 0.0165 memory: 17007 grad_norm: 7.2585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8496 loss: 1.8496 2022/07/28 04:46:10 - mmengine - INFO - Epoch(train) [85][2040/3757] lr: 5.5226e-03 eta: 1 day, 15:33:26 time: 0.3956 data_time: 0.0148 memory: 17007 grad_norm: 7.0640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9201 loss: 1.9201 2022/07/28 04:46:18 - mmengine - INFO - Epoch(train) [85][2060/3757] lr: 5.5226e-03 eta: 1 day, 15:33:18 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 7.0140 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7771 loss: 1.7771 2022/07/28 04:46:26 - mmengine - INFO - Epoch(train) [85][2080/3757] lr: 5.5226e-03 eta: 1 day, 15:33:10 time: 0.3974 data_time: 0.0161 memory: 17007 grad_norm: 7.0525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0259 loss: 2.0259 2022/07/28 04:46:34 - mmengine - INFO - Epoch(train) [85][2100/3757] lr: 5.5226e-03 eta: 1 day, 15:33:02 time: 0.4003 data_time: 0.0154 memory: 17007 grad_norm: 6.9455 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9213 loss: 1.9213 2022/07/28 04:46:42 - mmengine - INFO - Epoch(train) [85][2120/3757] lr: 5.5226e-03 eta: 1 day, 15:32:54 time: 0.3958 data_time: 0.0163 memory: 17007 grad_norm: 7.1156 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4264 loss: 2.4264 2022/07/28 04:46:50 - mmengine - INFO - Epoch(train) [85][2140/3757] lr: 5.5226e-03 eta: 1 day, 15:32:46 time: 0.4021 data_time: 0.0148 memory: 17007 grad_norm: 7.2407 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1267 loss: 2.1267 2022/07/28 04:46:58 - mmengine - INFO - Epoch(train) [85][2160/3757] lr: 5.5226e-03 eta: 1 day, 15:32:38 time: 0.3945 data_time: 0.0150 memory: 17007 grad_norm: 6.9774 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7715 loss: 1.7715 2022/07/28 04:47:06 - mmengine - INFO - Epoch(train) [85][2180/3757] lr: 5.5226e-03 eta: 1 day, 15:32:30 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.0355 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8410 loss: 1.8410 2022/07/28 04:47:13 - mmengine - INFO - Epoch(train) [85][2200/3757] lr: 5.5226e-03 eta: 1 day, 15:32:22 time: 0.3937 data_time: 0.0146 memory: 17007 grad_norm: 7.2242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8230 loss: 1.8230 2022/07/28 04:47:21 - mmengine - INFO - Epoch(train) [85][2220/3757] lr: 5.5226e-03 eta: 1 day, 15:32:14 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 7.5428 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8758 loss: 1.8758 2022/07/28 04:47:29 - mmengine - INFO - Epoch(train) [85][2240/3757] lr: 5.5226e-03 eta: 1 day, 15:32:06 time: 0.3933 data_time: 0.0144 memory: 17007 grad_norm: 7.1552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9946 loss: 1.9946 2022/07/28 04:47:37 - mmengine - INFO - Epoch(train) [85][2260/3757] lr: 5.5226e-03 eta: 1 day, 15:31:58 time: 0.3938 data_time: 0.0158 memory: 17007 grad_norm: 7.0131 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9722 loss: 1.9722 2022/07/28 04:47:45 - mmengine - INFO - Epoch(train) [85][2280/3757] lr: 5.5226e-03 eta: 1 day, 15:31:50 time: 0.3966 data_time: 0.0163 memory: 17007 grad_norm: 6.9737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3388 loss: 2.3388 2022/07/28 04:47:53 - mmengine - INFO - Epoch(train) [85][2300/3757] lr: 5.5226e-03 eta: 1 day, 15:31:42 time: 0.3956 data_time: 0.0149 memory: 17007 grad_norm: 7.0749 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0358 loss: 2.0358 2022/07/28 04:48:01 - mmengine - INFO - Epoch(train) [85][2320/3757] lr: 5.5226e-03 eta: 1 day, 15:31:34 time: 0.3964 data_time: 0.0153 memory: 17007 grad_norm: 7.1042 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8491 loss: 1.8491 2022/07/28 04:48:09 - mmengine - INFO - Epoch(train) [85][2340/3757] lr: 5.5226e-03 eta: 1 day, 15:31:26 time: 0.3931 data_time: 0.0147 memory: 17007 grad_norm: 7.1067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9175 loss: 1.9175 2022/07/28 04:48:17 - mmengine - INFO - Epoch(train) [85][2360/3757] lr: 5.5226e-03 eta: 1 day, 15:31:18 time: 0.3935 data_time: 0.0147 memory: 17007 grad_norm: 7.0421 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5745 loss: 2.5745 2022/07/28 04:48:25 - mmengine - INFO - Epoch(train) [85][2380/3757] lr: 5.5226e-03 eta: 1 day, 15:31:10 time: 0.3972 data_time: 0.0161 memory: 17007 grad_norm: 7.0796 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3498 loss: 2.3498 2022/07/28 04:48:33 - mmengine - INFO - Epoch(train) [85][2400/3757] lr: 5.5226e-03 eta: 1 day, 15:31:02 time: 0.3936 data_time: 0.0142 memory: 17007 grad_norm: 6.9760 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9671 loss: 1.9671 2022/07/28 04:48:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:48:41 - mmengine - INFO - Epoch(train) [85][2420/3757] lr: 5.5226e-03 eta: 1 day, 15:30:55 time: 0.3993 data_time: 0.0157 memory: 17007 grad_norm: 6.7691 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0362 loss: 2.0362 2022/07/28 04:48:48 - mmengine - INFO - Epoch(train) [85][2440/3757] lr: 5.5226e-03 eta: 1 day, 15:30:47 time: 0.3933 data_time: 0.0148 memory: 17007 grad_norm: 6.8891 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1937 loss: 2.1937 2022/07/28 04:48:56 - mmengine - INFO - Epoch(train) [85][2460/3757] lr: 5.5226e-03 eta: 1 day, 15:30:39 time: 0.3936 data_time: 0.0152 memory: 17007 grad_norm: 7.1860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8522 loss: 1.8522 2022/07/28 04:49:04 - mmengine - INFO - Epoch(train) [85][2480/3757] lr: 5.5226e-03 eta: 1 day, 15:30:31 time: 0.3958 data_time: 0.0160 memory: 17007 grad_norm: 7.0853 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9142 loss: 1.9142 2022/07/28 04:49:12 - mmengine - INFO - Epoch(train) [85][2500/3757] lr: 5.5226e-03 eta: 1 day, 15:30:23 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 7.0009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7855 loss: 1.7855 2022/07/28 04:49:20 - mmengine - INFO - Epoch(train) [85][2520/3757] lr: 5.5226e-03 eta: 1 day, 15:30:15 time: 0.3959 data_time: 0.0148 memory: 17007 grad_norm: 7.1907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9081 loss: 1.9081 2022/07/28 04:49:28 - mmengine - INFO - Epoch(train) [85][2540/3757] lr: 5.5226e-03 eta: 1 day, 15:30:07 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 6.9253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7992 loss: 1.7992 2022/07/28 04:49:36 - mmengine - INFO - Epoch(train) [85][2560/3757] lr: 5.5226e-03 eta: 1 day, 15:29:59 time: 0.3965 data_time: 0.0153 memory: 17007 grad_norm: 7.1188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2157 loss: 2.2157 2022/07/28 04:49:44 - mmengine - INFO - Epoch(train) [85][2580/3757] lr: 5.5226e-03 eta: 1 day, 15:29:51 time: 0.3976 data_time: 0.0149 memory: 17007 grad_norm: 7.3125 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3046 loss: 2.3046 2022/07/28 04:49:52 - mmengine - INFO - Epoch(train) [85][2600/3757] lr: 5.5226e-03 eta: 1 day, 15:29:43 time: 0.3937 data_time: 0.0145 memory: 17007 grad_norm: 7.1326 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9596 loss: 1.9596 2022/07/28 04:50:00 - mmengine - INFO - Epoch(train) [85][2620/3757] lr: 5.5226e-03 eta: 1 day, 15:29:35 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 6.8926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6680 loss: 1.6680 2022/07/28 04:50:08 - mmengine - INFO - Epoch(train) [85][2640/3757] lr: 5.5226e-03 eta: 1 day, 15:29:27 time: 0.3949 data_time: 0.0174 memory: 17007 grad_norm: 7.2346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3651 loss: 2.3651 2022/07/28 04:50:16 - mmengine - INFO - Epoch(train) [85][2660/3757] lr: 5.5226e-03 eta: 1 day, 15:29:19 time: 0.3999 data_time: 0.0156 memory: 17007 grad_norm: 7.2207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7132 loss: 1.7132 2022/07/28 04:50:23 - mmengine - INFO - Epoch(train) [85][2680/3757] lr: 5.5226e-03 eta: 1 day, 15:29:11 time: 0.3966 data_time: 0.0169 memory: 17007 grad_norm: 7.1089 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1761 loss: 2.1761 2022/07/28 04:50:31 - mmengine - INFO - Epoch(train) [85][2700/3757] lr: 5.5226e-03 eta: 1 day, 15:29:03 time: 0.3952 data_time: 0.0161 memory: 17007 grad_norm: 7.4011 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0976 loss: 2.0976 2022/07/28 04:50:39 - mmengine - INFO - Epoch(train) [85][2720/3757] lr: 5.5226e-03 eta: 1 day, 15:28:55 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 7.0137 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5282 loss: 2.5282 2022/07/28 04:50:47 - mmengine - INFO - Epoch(train) [85][2740/3757] lr: 5.5226e-03 eta: 1 day, 15:28:47 time: 0.3959 data_time: 0.0157 memory: 17007 grad_norm: 6.9189 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0790 loss: 2.0790 2022/07/28 04:50:55 - mmengine - INFO - Epoch(train) [85][2760/3757] lr: 5.5226e-03 eta: 1 day, 15:28:39 time: 0.3951 data_time: 0.0146 memory: 17007 grad_norm: 6.8730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2424 loss: 2.2424 2022/07/28 04:51:03 - mmengine - INFO - Epoch(train) [85][2780/3757] lr: 5.5226e-03 eta: 1 day, 15:28:31 time: 0.3995 data_time: 0.0157 memory: 17007 grad_norm: 6.8316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9822 loss: 1.9822 2022/07/28 04:51:11 - mmengine - INFO - Epoch(train) [85][2800/3757] lr: 5.5226e-03 eta: 1 day, 15:28:23 time: 0.4004 data_time: 0.0169 memory: 17007 grad_norm: 6.7137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0603 loss: 2.0603 2022/07/28 04:51:19 - mmengine - INFO - Epoch(train) [85][2820/3757] lr: 5.5226e-03 eta: 1 day, 15:28:15 time: 0.3954 data_time: 0.0169 memory: 17007 grad_norm: 7.2313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7569 loss: 1.7569 2022/07/28 04:51:27 - mmengine - INFO - Epoch(train) [85][2840/3757] lr: 5.5226e-03 eta: 1 day, 15:28:07 time: 0.3987 data_time: 0.0159 memory: 17007 grad_norm: 7.0991 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1189 loss: 2.1189 2022/07/28 04:51:35 - mmengine - INFO - Epoch(train) [85][2860/3757] lr: 5.5226e-03 eta: 1 day, 15:27:59 time: 0.4008 data_time: 0.0158 memory: 17007 grad_norm: 7.1596 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0792 loss: 2.0792 2022/07/28 04:51:43 - mmengine - INFO - Epoch(train) [85][2880/3757] lr: 5.5226e-03 eta: 1 day, 15:27:51 time: 0.3976 data_time: 0.0155 memory: 17007 grad_norm: 7.3170 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4330 loss: 2.4330 2022/07/28 04:51:51 - mmengine - INFO - Epoch(train) [85][2900/3757] lr: 5.5226e-03 eta: 1 day, 15:27:44 time: 0.4008 data_time: 0.0164 memory: 17007 grad_norm: 7.1592 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2586 loss: 2.2586 2022/07/28 04:51:59 - mmengine - INFO - Epoch(train) [85][2920/3757] lr: 5.5226e-03 eta: 1 day, 15:27:36 time: 0.3931 data_time: 0.0145 memory: 17007 grad_norm: 7.0216 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2353 loss: 2.2353 2022/07/28 04:52:07 - mmengine - INFO - Epoch(train) [85][2940/3757] lr: 5.5226e-03 eta: 1 day, 15:27:28 time: 0.4003 data_time: 0.0151 memory: 17007 grad_norm: 7.0791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9355 loss: 1.9355 2022/07/28 04:52:15 - mmengine - INFO - Epoch(train) [85][2960/3757] lr: 5.5226e-03 eta: 1 day, 15:27:20 time: 0.3973 data_time: 0.0152 memory: 17007 grad_norm: 7.2640 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1002 loss: 2.1002 2022/07/28 04:52:23 - mmengine - INFO - Epoch(train) [85][2980/3757] lr: 5.5226e-03 eta: 1 day, 15:27:12 time: 0.4025 data_time: 0.0152 memory: 17007 grad_norm: 7.1125 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0168 loss: 2.0168 2022/07/28 04:52:31 - mmengine - INFO - Epoch(train) [85][3000/3757] lr: 5.5226e-03 eta: 1 day, 15:27:04 time: 0.3948 data_time: 0.0154 memory: 17007 grad_norm: 7.1430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9441 loss: 1.9441 2022/07/28 04:52:39 - mmengine - INFO - Epoch(train) [85][3020/3757] lr: 5.5226e-03 eta: 1 day, 15:26:56 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 7.0485 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2003 loss: 2.2003 2022/07/28 04:52:47 - mmengine - INFO - Epoch(train) [85][3040/3757] lr: 5.5226e-03 eta: 1 day, 15:26:48 time: 0.4014 data_time: 0.0163 memory: 17007 grad_norm: 6.9344 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9467 loss: 1.9467 2022/07/28 04:52:55 - mmengine - INFO - Epoch(train) [85][3060/3757] lr: 5.5226e-03 eta: 1 day, 15:26:40 time: 0.3970 data_time: 0.0163 memory: 17007 grad_norm: 7.1370 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9600 loss: 1.9600 2022/07/28 04:53:03 - mmengine - INFO - Epoch(train) [85][3080/3757] lr: 5.5226e-03 eta: 1 day, 15:26:32 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 6.9590 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1699 loss: 2.1699 2022/07/28 04:53:11 - mmengine - INFO - Epoch(train) [85][3100/3757] lr: 5.5226e-03 eta: 1 day, 15:26:24 time: 0.3981 data_time: 0.0156 memory: 17007 grad_norm: 7.0094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8819 loss: 1.8819 2022/07/28 04:53:18 - mmengine - INFO - Epoch(train) [85][3120/3757] lr: 5.5226e-03 eta: 1 day, 15:26:16 time: 0.3932 data_time: 0.0144 memory: 17007 grad_norm: 7.4382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1543 loss: 2.1543 2022/07/28 04:53:26 - mmengine - INFO - Epoch(train) [85][3140/3757] lr: 5.5226e-03 eta: 1 day, 15:26:08 time: 0.3986 data_time: 0.0150 memory: 17007 grad_norm: 6.9056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0411 loss: 2.0411 2022/07/28 04:53:34 - mmengine - INFO - Epoch(train) [85][3160/3757] lr: 5.5226e-03 eta: 1 day, 15:26:00 time: 0.3956 data_time: 0.0159 memory: 17007 grad_norm: 7.0085 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9985 loss: 1.9985 2022/07/28 04:53:42 - mmengine - INFO - Epoch(train) [85][3180/3757] lr: 5.5226e-03 eta: 1 day, 15:25:52 time: 0.4045 data_time: 0.0148 memory: 17007 grad_norm: 6.9379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8529 loss: 1.8529 2022/07/28 04:53:50 - mmengine - INFO - Epoch(train) [85][3200/3757] lr: 5.5226e-03 eta: 1 day, 15:25:44 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 7.1095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0761 loss: 2.0761 2022/07/28 04:53:58 - mmengine - INFO - Epoch(train) [85][3220/3757] lr: 5.5226e-03 eta: 1 day, 15:25:37 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 7.3065 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9652 loss: 1.9652 2022/07/28 04:54:06 - mmengine - INFO - Epoch(train) [85][3240/3757] lr: 5.5226e-03 eta: 1 day, 15:25:29 time: 0.4002 data_time: 0.0152 memory: 17007 grad_norm: 7.3911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8456 loss: 1.8456 2022/07/28 04:54:14 - mmengine - INFO - Epoch(train) [85][3260/3757] lr: 5.5226e-03 eta: 1 day, 15:25:21 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 7.2141 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2429 loss: 2.2429 2022/07/28 04:54:22 - mmengine - INFO - Epoch(train) [85][3280/3757] lr: 5.5226e-03 eta: 1 day, 15:25:13 time: 0.4003 data_time: 0.0154 memory: 17007 grad_norm: 7.3723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2502 loss: 2.2502 2022/07/28 04:54:30 - mmengine - INFO - Epoch(train) [85][3300/3757] lr: 5.5226e-03 eta: 1 day, 15:25:05 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 7.3251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9898 loss: 1.9898 2022/07/28 04:54:38 - mmengine - INFO - Epoch(train) [85][3320/3757] lr: 5.5226e-03 eta: 1 day, 15:24:57 time: 0.3928 data_time: 0.0139 memory: 17007 grad_norm: 7.2073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8284 loss: 1.8284 2022/07/28 04:54:46 - mmengine - INFO - Epoch(train) [85][3340/3757] lr: 5.5226e-03 eta: 1 day, 15:24:49 time: 0.4219 data_time: 0.0149 memory: 17007 grad_norm: 7.4600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1210 loss: 2.1210 2022/07/28 04:54:54 - mmengine - INFO - Epoch(train) [85][3360/3757] lr: 5.5226e-03 eta: 1 day, 15:24:41 time: 0.3963 data_time: 0.0164 memory: 17007 grad_norm: 7.3467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9681 loss: 1.9681 2022/07/28 04:55:02 - mmengine - INFO - Epoch(train) [85][3380/3757] lr: 5.5226e-03 eta: 1 day, 15:24:34 time: 0.4048 data_time: 0.0151 memory: 17007 grad_norm: 7.2748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0875 loss: 2.0875 2022/07/28 04:55:10 - mmengine - INFO - Epoch(train) [85][3400/3757] lr: 5.5226e-03 eta: 1 day, 15:24:26 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 7.1084 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9385 loss: 1.9385 2022/07/28 04:55:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:55:18 - mmengine - INFO - Epoch(train) [85][3420/3757] lr: 5.5226e-03 eta: 1 day, 15:24:18 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 7.2997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3241 loss: 2.3241 2022/07/28 04:55:26 - mmengine - INFO - Epoch(train) [85][3440/3757] lr: 5.5226e-03 eta: 1 day, 15:24:10 time: 0.4023 data_time: 0.0169 memory: 17007 grad_norm: 7.0313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0528 loss: 2.0528 2022/07/28 04:55:34 - mmengine - INFO - Epoch(train) [85][3460/3757] lr: 5.5226e-03 eta: 1 day, 15:24:02 time: 0.4010 data_time: 0.0159 memory: 17007 grad_norm: 7.0775 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9892 loss: 1.9892 2022/07/28 04:55:42 - mmengine - INFO - Epoch(train) [85][3480/3757] lr: 5.5226e-03 eta: 1 day, 15:23:54 time: 0.3984 data_time: 0.0155 memory: 17007 grad_norm: 7.1442 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9279 loss: 1.9279 2022/07/28 04:55:50 - mmengine - INFO - Epoch(train) [85][3500/3757] lr: 5.5226e-03 eta: 1 day, 15:23:46 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 10.1416 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9907 loss: 1.9907 2022/07/28 04:55:58 - mmengine - INFO - Epoch(train) [85][3520/3757] lr: 5.5226e-03 eta: 1 day, 15:23:38 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 7.8520 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2846 loss: 2.2846 2022/07/28 04:56:06 - mmengine - INFO - Epoch(train) [85][3540/3757] lr: 5.5226e-03 eta: 1 day, 15:23:30 time: 0.4034 data_time: 0.0163 memory: 17007 grad_norm: 7.0975 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2666 loss: 2.2666 2022/07/28 04:56:14 - mmengine - INFO - Epoch(train) [85][3560/3757] lr: 5.5226e-03 eta: 1 day, 15:23:23 time: 0.4104 data_time: 0.0149 memory: 17007 grad_norm: 7.2686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9130 loss: 1.9130 2022/07/28 04:56:22 - mmengine - INFO - Epoch(train) [85][3580/3757] lr: 5.5226e-03 eta: 1 day, 15:23:15 time: 0.4055 data_time: 0.0169 memory: 17007 grad_norm: 7.4753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1596 loss: 2.1596 2022/07/28 04:56:30 - mmengine - INFO - Epoch(train) [85][3600/3757] lr: 5.5226e-03 eta: 1 day, 15:23:07 time: 0.3926 data_time: 0.0149 memory: 17007 grad_norm: 7.3991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2247 loss: 2.2247 2022/07/28 04:56:39 - mmengine - INFO - Epoch(train) [85][3620/3757] lr: 5.5226e-03 eta: 1 day, 15:22:59 time: 0.4154 data_time: 0.0156 memory: 17007 grad_norm: 7.4757 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0086 loss: 2.0086 2022/07/28 04:56:47 - mmengine - INFO - Epoch(train) [85][3640/3757] lr: 5.5226e-03 eta: 1 day, 15:22:51 time: 0.3989 data_time: 0.0156 memory: 17007 grad_norm: 7.3754 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1139 loss: 2.1139 2022/07/28 04:56:55 - mmengine - INFO - Epoch(train) [85][3660/3757] lr: 5.5226e-03 eta: 1 day, 15:22:44 time: 0.4198 data_time: 0.0146 memory: 17007 grad_norm: 7.2736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0425 loss: 2.0425 2022/07/28 04:57:03 - mmengine - INFO - Epoch(train) [85][3680/3757] lr: 5.5226e-03 eta: 1 day, 15:22:36 time: 0.4010 data_time: 0.0154 memory: 17007 grad_norm: 7.3322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4298 loss: 2.4298 2022/07/28 04:57:11 - mmengine - INFO - Epoch(train) [85][3700/3757] lr: 5.5226e-03 eta: 1 day, 15:22:28 time: 0.4044 data_time: 0.0151 memory: 17007 grad_norm: 7.0566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9175 loss: 1.9175 2022/07/28 04:57:19 - mmengine - INFO - Epoch(train) [85][3720/3757] lr: 5.5226e-03 eta: 1 day, 15:22:20 time: 0.3936 data_time: 0.0146 memory: 17007 grad_norm: 7.0066 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9442 loss: 1.9442 2022/07/28 04:57:27 - mmengine - INFO - Epoch(train) [85][3740/3757] lr: 5.5226e-03 eta: 1 day, 15:22:12 time: 0.3963 data_time: 0.0166 memory: 17007 grad_norm: 7.1362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1894 loss: 2.1894 2022/07/28 04:57:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 04:57:34 - mmengine - INFO - Epoch(train) [85][3757/3757] lr: 5.5226e-03 eta: 1 day, 15:22:12 time: 0.3908 data_time: 0.0153 memory: 17007 grad_norm: 7.2211 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0840 loss: 2.0840 2022/07/28 04:57:34 - mmengine - INFO - Saving checkpoint at 85 epochs 2022/07/28 04:57:45 - mmengine - INFO - Epoch(train) [86][20/3757] lr: 5.4358e-03 eta: 1 day, 15:21:51 time: 0.4457 data_time: 0.0652 memory: 17007 grad_norm: 7.2399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1859 loss: 2.1859 2022/07/28 04:57:53 - mmengine - INFO - Epoch(train) [86][40/3757] lr: 5.4358e-03 eta: 1 day, 15:21:43 time: 0.3969 data_time: 0.0178 memory: 17007 grad_norm: 7.3930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4156 loss: 2.4156 2022/07/28 04:58:01 - mmengine - INFO - Epoch(train) [86][60/3757] lr: 5.4358e-03 eta: 1 day, 15:21:35 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 7.4098 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1542 loss: 2.1542 2022/07/28 04:58:08 - mmengine - INFO - Epoch(train) [86][80/3757] lr: 5.4358e-03 eta: 1 day, 15:21:27 time: 0.3948 data_time: 0.0155 memory: 17007 grad_norm: 7.1181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8690 loss: 1.8690 2022/07/28 04:58:17 - mmengine - INFO - Epoch(train) [86][100/3757] lr: 5.4358e-03 eta: 1 day, 15:21:19 time: 0.4055 data_time: 0.0149 memory: 17007 grad_norm: 7.0340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0240 loss: 2.0240 2022/07/28 04:58:25 - mmengine - INFO - Epoch(train) [86][120/3757] lr: 5.4358e-03 eta: 1 day, 15:21:11 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 7.0965 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0701 loss: 2.0701 2022/07/28 04:58:33 - mmengine - INFO - Epoch(train) [86][140/3757] lr: 5.4358e-03 eta: 1 day, 15:21:04 time: 0.3994 data_time: 0.0152 memory: 17007 grad_norm: 7.0400 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7730 loss: 1.7730 2022/07/28 04:58:40 - mmengine - INFO - Epoch(train) [86][160/3757] lr: 5.4358e-03 eta: 1 day, 15:20:56 time: 0.3922 data_time: 0.0149 memory: 17007 grad_norm: 7.1259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0506 loss: 2.0506 2022/07/28 04:58:48 - mmengine - INFO - Epoch(train) [86][180/3757] lr: 5.4358e-03 eta: 1 day, 15:20:48 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 6.9801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7942 loss: 1.7942 2022/07/28 04:58:56 - mmengine - INFO - Epoch(train) [86][200/3757] lr: 5.4358e-03 eta: 1 day, 15:20:40 time: 0.4062 data_time: 0.0164 memory: 17007 grad_norm: 7.4103 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9628 loss: 1.9628 2022/07/28 04:59:04 - mmengine - INFO - Epoch(train) [86][220/3757] lr: 5.4358e-03 eta: 1 day, 15:20:32 time: 0.3926 data_time: 0.0153 memory: 17007 grad_norm: 7.2945 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9208 loss: 1.9208 2022/07/28 04:59:12 - mmengine - INFO - Epoch(train) [86][240/3757] lr: 5.4358e-03 eta: 1 day, 15:20:24 time: 0.4055 data_time: 0.0156 memory: 17007 grad_norm: 7.4788 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7742 loss: 1.7742 2022/07/28 04:59:20 - mmengine - INFO - Epoch(train) [86][260/3757] lr: 5.4358e-03 eta: 1 day, 15:20:16 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 7.3786 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9395 loss: 1.9395 2022/07/28 04:59:28 - mmengine - INFO - Epoch(train) [86][280/3757] lr: 5.4358e-03 eta: 1 day, 15:20:08 time: 0.3956 data_time: 0.0154 memory: 17007 grad_norm: 7.3595 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3885 loss: 2.3885 2022/07/28 04:59:36 - mmengine - INFO - Epoch(train) [86][300/3757] lr: 5.4358e-03 eta: 1 day, 15:20:00 time: 0.3986 data_time: 0.0158 memory: 17007 grad_norm: 7.2670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6913 loss: 1.6913 2022/07/28 04:59:44 - mmengine - INFO - Epoch(train) [86][320/3757] lr: 5.4358e-03 eta: 1 day, 15:19:52 time: 0.3963 data_time: 0.0162 memory: 17007 grad_norm: 7.0822 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8950 loss: 1.8950 2022/07/28 04:59:52 - mmengine - INFO - Epoch(train) [86][340/3757] lr: 5.4358e-03 eta: 1 day, 15:19:44 time: 0.4028 data_time: 0.0165 memory: 17007 grad_norm: 6.9507 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1363 loss: 2.1363 2022/07/28 05:00:00 - mmengine - INFO - Epoch(train) [86][360/3757] lr: 5.4358e-03 eta: 1 day, 15:19:36 time: 0.3934 data_time: 0.0147 memory: 17007 grad_norm: 7.3720 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3191 loss: 2.3191 2022/07/28 05:00:08 - mmengine - INFO - Epoch(train) [86][380/3757] lr: 5.4358e-03 eta: 1 day, 15:19:28 time: 0.3945 data_time: 0.0148 memory: 17007 grad_norm: 7.1652 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0234 loss: 2.0234 2022/07/28 05:00:16 - mmengine - INFO - Epoch(train) [86][400/3757] lr: 5.4358e-03 eta: 1 day, 15:19:20 time: 0.3964 data_time: 0.0159 memory: 17007 grad_norm: 7.2090 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0552 loss: 2.0552 2022/07/28 05:00:24 - mmengine - INFO - Epoch(train) [86][420/3757] lr: 5.4358e-03 eta: 1 day, 15:19:12 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 6.8462 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1765 loss: 2.1765 2022/07/28 05:00:32 - mmengine - INFO - Epoch(train) [86][440/3757] lr: 5.4358e-03 eta: 1 day, 15:19:04 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 6.8943 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9477 loss: 1.9477 2022/07/28 05:00:40 - mmengine - INFO - Epoch(train) [86][460/3757] lr: 5.4358e-03 eta: 1 day, 15:18:56 time: 0.3918 data_time: 0.0131 memory: 17007 grad_norm: 7.0744 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7781 loss: 1.7781 2022/07/28 05:00:47 - mmengine - INFO - Epoch(train) [86][480/3757] lr: 5.4358e-03 eta: 1 day, 15:18:48 time: 0.3942 data_time: 0.0165 memory: 17007 grad_norm: 7.1843 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8492 loss: 1.8492 2022/07/28 05:00:55 - mmengine - INFO - Epoch(train) [86][500/3757] lr: 5.4358e-03 eta: 1 day, 15:18:40 time: 0.3947 data_time: 0.0142 memory: 17007 grad_norm: 7.4719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1051 loss: 2.1051 2022/07/28 05:01:03 - mmengine - INFO - Epoch(train) [86][520/3757] lr: 5.4358e-03 eta: 1 day, 15:18:32 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 7.1120 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0293 loss: 2.0293 2022/07/28 05:01:11 - mmengine - INFO - Epoch(train) [86][540/3757] lr: 5.4358e-03 eta: 1 day, 15:18:24 time: 0.4001 data_time: 0.0160 memory: 17007 grad_norm: 7.3815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8593 loss: 1.8593 2022/07/28 05:01:19 - mmengine - INFO - Epoch(train) [86][560/3757] lr: 5.4358e-03 eta: 1 day, 15:18:16 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 7.3213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1366 loss: 2.1366 2022/07/28 05:01:27 - mmengine - INFO - Epoch(train) [86][580/3757] lr: 5.4358e-03 eta: 1 day, 15:18:08 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 7.0417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0196 loss: 2.0196 2022/07/28 05:01:35 - mmengine - INFO - Epoch(train) [86][600/3757] lr: 5.4358e-03 eta: 1 day, 15:18:01 time: 0.4043 data_time: 0.0158 memory: 17007 grad_norm: 7.1362 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/07/28 05:01:43 - mmengine - INFO - Epoch(train) [86][620/3757] lr: 5.4358e-03 eta: 1 day, 15:17:53 time: 0.3955 data_time: 0.0149 memory: 17007 grad_norm: 7.1540 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1511 loss: 2.1511 2022/07/28 05:01:51 - mmengine - INFO - Epoch(train) [86][640/3757] lr: 5.4358e-03 eta: 1 day, 15:17:45 time: 0.3938 data_time: 0.0147 memory: 17007 grad_norm: 7.2572 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2094 loss: 2.2094 2022/07/28 05:01:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:01:59 - mmengine - INFO - Epoch(train) [86][660/3757] lr: 5.4358e-03 eta: 1 day, 15:17:37 time: 0.3976 data_time: 0.0147 memory: 17007 grad_norm: 7.2949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0443 loss: 2.0443 2022/07/28 05:02:07 - mmengine - INFO - Epoch(train) [86][680/3757] lr: 5.4358e-03 eta: 1 day, 15:17:29 time: 0.3946 data_time: 0.0157 memory: 17007 grad_norm: 7.1632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6333 loss: 1.6333 2022/07/28 05:02:15 - mmengine - INFO - Epoch(train) [86][700/3757] lr: 5.4358e-03 eta: 1 day, 15:17:21 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 7.4789 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0753 loss: 2.0753 2022/07/28 05:02:23 - mmengine - INFO - Epoch(train) [86][720/3757] lr: 5.4358e-03 eta: 1 day, 15:17:13 time: 0.3929 data_time: 0.0184 memory: 17007 grad_norm: 7.4345 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8093 loss: 1.8093 2022/07/28 05:02:30 - mmengine - INFO - Epoch(train) [86][740/3757] lr: 5.4358e-03 eta: 1 day, 15:17:05 time: 0.3932 data_time: 0.0139 memory: 17007 grad_norm: 7.8289 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0297 loss: 2.0297 2022/07/28 05:02:38 - mmengine - INFO - Epoch(train) [86][760/3757] lr: 5.4358e-03 eta: 1 day, 15:16:57 time: 0.3962 data_time: 0.0164 memory: 17007 grad_norm: 7.3712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1216 loss: 2.1216 2022/07/28 05:02:46 - mmengine - INFO - Epoch(train) [86][780/3757] lr: 5.4358e-03 eta: 1 day, 15:16:49 time: 0.3956 data_time: 0.0146 memory: 17007 grad_norm: 7.2280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9486 loss: 1.9486 2022/07/28 05:02:54 - mmengine - INFO - Epoch(train) [86][800/3757] lr: 5.4358e-03 eta: 1 day, 15:16:41 time: 0.4023 data_time: 0.0160 memory: 17007 grad_norm: 7.2168 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3698 loss: 2.3698 2022/07/28 05:03:02 - mmengine - INFO - Epoch(train) [86][820/3757] lr: 5.4358e-03 eta: 1 day, 15:16:33 time: 0.3936 data_time: 0.0144 memory: 17007 grad_norm: 7.0617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0182 loss: 2.0182 2022/07/28 05:03:10 - mmengine - INFO - Epoch(train) [86][840/3757] lr: 5.4358e-03 eta: 1 day, 15:16:25 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 7.0841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0331 loss: 2.0331 2022/07/28 05:03:18 - mmengine - INFO - Epoch(train) [86][860/3757] lr: 5.4358e-03 eta: 1 day, 15:16:17 time: 0.3942 data_time: 0.0146 memory: 17007 grad_norm: 7.2608 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8176 loss: 1.8176 2022/07/28 05:03:26 - mmengine - INFO - Epoch(train) [86][880/3757] lr: 5.4358e-03 eta: 1 day, 15:16:09 time: 0.3943 data_time: 0.0164 memory: 17007 grad_norm: 6.8899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9317 loss: 1.9317 2022/07/28 05:03:34 - mmengine - INFO - Epoch(train) [86][900/3757] lr: 5.4358e-03 eta: 1 day, 15:16:01 time: 0.4000 data_time: 0.0152 memory: 17007 grad_norm: 7.1579 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0814 loss: 2.0814 2022/07/28 05:03:42 - mmengine - INFO - Epoch(train) [86][920/3757] lr: 5.4358e-03 eta: 1 day, 15:15:53 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 7.1920 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0365 loss: 2.0365 2022/07/28 05:03:50 - mmengine - INFO - Epoch(train) [86][940/3757] lr: 5.4358e-03 eta: 1 day, 15:15:45 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 6.9519 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1008 loss: 2.1008 2022/07/28 05:03:58 - mmengine - INFO - Epoch(train) [86][960/3757] lr: 5.4358e-03 eta: 1 day, 15:15:37 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 7.6051 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1860 loss: 2.1860 2022/07/28 05:04:06 - mmengine - INFO - Epoch(train) [86][980/3757] lr: 5.4358e-03 eta: 1 day, 15:15:29 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 7.4266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9919 loss: 1.9919 2022/07/28 05:04:13 - mmengine - INFO - Epoch(train) [86][1000/3757] lr: 5.4358e-03 eta: 1 day, 15:15:21 time: 0.3964 data_time: 0.0168 memory: 17007 grad_norm: 7.1787 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0735 loss: 2.0735 2022/07/28 05:04:21 - mmengine - INFO - Epoch(train) [86][1020/3757] lr: 5.4358e-03 eta: 1 day, 15:15:13 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 7.1556 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7292 loss: 1.7292 2022/07/28 05:04:29 - mmengine - INFO - Epoch(train) [86][1040/3757] lr: 5.4358e-03 eta: 1 day, 15:15:05 time: 0.3932 data_time: 0.0158 memory: 17007 grad_norm: 7.3903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8648 loss: 1.8648 2022/07/28 05:04:37 - mmengine - INFO - Epoch(train) [86][1060/3757] lr: 5.4358e-03 eta: 1 day, 15:14:57 time: 0.3954 data_time: 0.0155 memory: 17007 grad_norm: 7.0119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8900 loss: 1.8900 2022/07/28 05:04:45 - mmengine - INFO - Epoch(train) [86][1080/3757] lr: 5.4358e-03 eta: 1 day, 15:14:49 time: 0.3938 data_time: 0.0157 memory: 17007 grad_norm: 7.4267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8348 loss: 1.8348 2022/07/28 05:04:53 - mmengine - INFO - Epoch(train) [86][1100/3757] lr: 5.4358e-03 eta: 1 day, 15:14:41 time: 0.3996 data_time: 0.0161 memory: 17007 grad_norm: 7.3527 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0247 loss: 2.0247 2022/07/28 05:05:01 - mmengine - INFO - Epoch(train) [86][1120/3757] lr: 5.4358e-03 eta: 1 day, 15:14:33 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 7.2024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8531 loss: 1.8531 2022/07/28 05:05:09 - mmengine - INFO - Epoch(train) [86][1140/3757] lr: 5.4358e-03 eta: 1 day, 15:14:25 time: 0.3956 data_time: 0.0161 memory: 17007 grad_norm: 7.2622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8644 loss: 1.8644 2022/07/28 05:05:17 - mmengine - INFO - Epoch(train) [86][1160/3757] lr: 5.4358e-03 eta: 1 day, 15:14:17 time: 0.3967 data_time: 0.0166 memory: 17007 grad_norm: 7.2438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8741 loss: 1.8741 2022/07/28 05:05:25 - mmengine - INFO - Epoch(train) [86][1180/3757] lr: 5.4358e-03 eta: 1 day, 15:14:09 time: 0.3939 data_time: 0.0159 memory: 17007 grad_norm: 7.1696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0450 loss: 2.0450 2022/07/28 05:05:33 - mmengine - INFO - Epoch(train) [86][1200/3757] lr: 5.4358e-03 eta: 1 day, 15:14:01 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 7.3150 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0576 loss: 2.0576 2022/07/28 05:05:40 - mmengine - INFO - Epoch(train) [86][1220/3757] lr: 5.4358e-03 eta: 1 day, 15:13:53 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 7.1660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0733 loss: 2.0733 2022/07/28 05:05:48 - mmengine - INFO - Epoch(train) [86][1240/3757] lr: 5.4358e-03 eta: 1 day, 15:13:45 time: 0.3959 data_time: 0.0155 memory: 17007 grad_norm: 7.4336 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1640 loss: 2.1640 2022/07/28 05:05:56 - mmengine - INFO - Epoch(train) [86][1260/3757] lr: 5.4358e-03 eta: 1 day, 15:13:37 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 7.1396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8802 loss: 1.8802 2022/07/28 05:06:04 - mmengine - INFO - Epoch(train) [86][1280/3757] lr: 5.4358e-03 eta: 1 day, 15:13:29 time: 0.3950 data_time: 0.0159 memory: 17007 grad_norm: 7.3020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9270 loss: 1.9270 2022/07/28 05:06:12 - mmengine - INFO - Epoch(train) [86][1300/3757] lr: 5.4358e-03 eta: 1 day, 15:13:21 time: 0.3962 data_time: 0.0142 memory: 17007 grad_norm: 7.2262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2200 loss: 2.2200 2022/07/28 05:06:20 - mmengine - INFO - Epoch(train) [86][1320/3757] lr: 5.4358e-03 eta: 1 day, 15:13:13 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 6.9860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7922 loss: 1.7922 2022/07/28 05:06:28 - mmengine - INFO - Epoch(train) [86][1340/3757] lr: 5.4358e-03 eta: 1 day, 15:13:05 time: 0.3934 data_time: 0.0148 memory: 17007 grad_norm: 7.3527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8765 loss: 1.8765 2022/07/28 05:06:36 - mmengine - INFO - Epoch(train) [86][1360/3757] lr: 5.4358e-03 eta: 1 day, 15:12:57 time: 0.3961 data_time: 0.0150 memory: 17007 grad_norm: 7.3815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9541 loss: 1.9541 2022/07/28 05:06:44 - mmengine - INFO - Epoch(train) [86][1380/3757] lr: 5.4358e-03 eta: 1 day, 15:12:49 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.5063 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1205 loss: 2.1205 2022/07/28 05:06:52 - mmengine - INFO - Epoch(train) [86][1400/3757] lr: 5.4358e-03 eta: 1 day, 15:12:41 time: 0.3944 data_time: 0.0163 memory: 17007 grad_norm: 7.5132 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8527 loss: 1.8527 2022/07/28 05:06:59 - mmengine - INFO - Epoch(train) [86][1420/3757] lr: 5.4358e-03 eta: 1 day, 15:12:33 time: 0.3924 data_time: 0.0145 memory: 17007 grad_norm: 7.3760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7759 loss: 1.7759 2022/07/28 05:07:07 - mmengine - INFO - Epoch(train) [86][1440/3757] lr: 5.4358e-03 eta: 1 day, 15:12:25 time: 0.3972 data_time: 0.0165 memory: 17007 grad_norm: 7.3599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8890 loss: 1.8890 2022/07/28 05:07:15 - mmengine - INFO - Epoch(train) [86][1460/3757] lr: 5.4358e-03 eta: 1 day, 15:12:17 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 7.0582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7913 loss: 1.7913 2022/07/28 05:07:23 - mmengine - INFO - Epoch(train) [86][1480/3757] lr: 5.4358e-03 eta: 1 day, 15:12:09 time: 0.3958 data_time: 0.0163 memory: 17007 grad_norm: 7.0103 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9188 loss: 1.9188 2022/07/28 05:07:31 - mmengine - INFO - Epoch(train) [86][1500/3757] lr: 5.4358e-03 eta: 1 day, 15:12:01 time: 0.3935 data_time: 0.0147 memory: 17007 grad_norm: 7.3345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1815 loss: 2.1815 2022/07/28 05:07:39 - mmengine - INFO - Epoch(train) [86][1520/3757] lr: 5.4358e-03 eta: 1 day, 15:11:53 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 7.1103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9748 loss: 1.9748 2022/07/28 05:07:47 - mmengine - INFO - Epoch(train) [86][1540/3757] lr: 5.4358e-03 eta: 1 day, 15:11:45 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 7.4433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2448 loss: 2.2448 2022/07/28 05:07:55 - mmengine - INFO - Epoch(train) [86][1560/3757] lr: 5.4358e-03 eta: 1 day, 15:11:37 time: 0.4001 data_time: 0.0162 memory: 17007 grad_norm: 7.0107 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2140 loss: 2.2140 2022/07/28 05:08:03 - mmengine - INFO - Epoch(train) [86][1580/3757] lr: 5.4358e-03 eta: 1 day, 15:11:29 time: 0.3931 data_time: 0.0148 memory: 17007 grad_norm: 7.3148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0290 loss: 2.0290 2022/07/28 05:08:11 - mmengine - INFO - Epoch(train) [86][1600/3757] lr: 5.4358e-03 eta: 1 day, 15:11:21 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 6.8775 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8459 loss: 1.8459 2022/07/28 05:08:19 - mmengine - INFO - Epoch(train) [86][1620/3757] lr: 5.4358e-03 eta: 1 day, 15:11:13 time: 0.3967 data_time: 0.0154 memory: 17007 grad_norm: 7.1985 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5236 loss: 1.5236 2022/07/28 05:08:26 - mmengine - INFO - Epoch(train) [86][1640/3757] lr: 5.4358e-03 eta: 1 day, 15:11:05 time: 0.3948 data_time: 0.0178 memory: 17007 grad_norm: 7.5080 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2782 loss: 2.2782 2022/07/28 05:08:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:08:34 - mmengine - INFO - Epoch(train) [86][1660/3757] lr: 5.4358e-03 eta: 1 day, 15:10:57 time: 0.3946 data_time: 0.0144 memory: 17007 grad_norm: 7.2120 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3564 loss: 2.3564 2022/07/28 05:08:42 - mmengine - INFO - Epoch(train) [86][1680/3757] lr: 5.4358e-03 eta: 1 day, 15:10:49 time: 0.3996 data_time: 0.0157 memory: 17007 grad_norm: 7.2279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7929 loss: 1.7929 2022/07/28 05:08:50 - mmengine - INFO - Epoch(train) [86][1700/3757] lr: 5.4358e-03 eta: 1 day, 15:10:41 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 7.2377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8956 loss: 1.8956 2022/07/28 05:08:58 - mmengine - INFO - Epoch(train) [86][1720/3757] lr: 5.4358e-03 eta: 1 day, 15:10:33 time: 0.3947 data_time: 0.0161 memory: 17007 grad_norm: 7.1219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8134 loss: 1.8134 2022/07/28 05:09:06 - mmengine - INFO - Epoch(train) [86][1740/3757] lr: 5.4358e-03 eta: 1 day, 15:10:26 time: 0.4080 data_time: 0.0153 memory: 17007 grad_norm: 7.4733 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1606 loss: 2.1606 2022/07/28 05:09:14 - mmengine - INFO - Epoch(train) [86][1760/3757] lr: 5.4358e-03 eta: 1 day, 15:10:18 time: 0.3977 data_time: 0.0174 memory: 17007 grad_norm: 7.3623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1493 loss: 2.1493 2022/07/28 05:09:22 - mmengine - INFO - Epoch(train) [86][1780/3757] lr: 5.4358e-03 eta: 1 day, 15:10:10 time: 0.3961 data_time: 0.0144 memory: 17007 grad_norm: 6.9769 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1954 loss: 2.1954 2022/07/28 05:09:30 - mmengine - INFO - Epoch(train) [86][1800/3757] lr: 5.4358e-03 eta: 1 day, 15:10:02 time: 0.3948 data_time: 0.0167 memory: 17007 grad_norm: 6.9408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8551 loss: 1.8551 2022/07/28 05:09:38 - mmengine - INFO - Epoch(train) [86][1820/3757] lr: 5.4358e-03 eta: 1 day, 15:09:54 time: 0.4003 data_time: 0.0155 memory: 17007 grad_norm: 7.1108 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1875 loss: 2.1875 2022/07/28 05:09:46 - mmengine - INFO - Epoch(train) [86][1840/3757] lr: 5.4358e-03 eta: 1 day, 15:09:46 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 7.0416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7812 loss: 1.7812 2022/07/28 05:09:54 - mmengine - INFO - Epoch(train) [86][1860/3757] lr: 5.4358e-03 eta: 1 day, 15:09:39 time: 0.4200 data_time: 0.0159 memory: 17007 grad_norm: 7.1815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0202 loss: 2.0202 2022/07/28 05:10:03 - mmengine - INFO - Epoch(train) [86][1880/3757] lr: 5.4358e-03 eta: 1 day, 15:09:31 time: 0.4011 data_time: 0.0163 memory: 17007 grad_norm: 7.1694 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0793 loss: 2.0793 2022/07/28 05:10:10 - mmengine - INFO - Epoch(train) [86][1900/3757] lr: 5.4358e-03 eta: 1 day, 15:09:23 time: 0.3922 data_time: 0.0146 memory: 17007 grad_norm: 7.3425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1317 loss: 2.1317 2022/07/28 05:10:18 - mmengine - INFO - Epoch(train) [86][1920/3757] lr: 5.4358e-03 eta: 1 day, 15:09:15 time: 0.3960 data_time: 0.0162 memory: 17007 grad_norm: 7.5253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1979 loss: 2.1979 2022/07/28 05:10:26 - mmengine - INFO - Epoch(train) [86][1940/3757] lr: 5.4358e-03 eta: 1 day, 15:09:07 time: 0.4039 data_time: 0.0154 memory: 17007 grad_norm: 7.4586 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2784 loss: 2.2784 2022/07/28 05:10:34 - mmengine - INFO - Epoch(train) [86][1960/3757] lr: 5.4358e-03 eta: 1 day, 15:08:59 time: 0.3989 data_time: 0.0162 memory: 17007 grad_norm: 7.2467 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0114 loss: 2.0114 2022/07/28 05:10:42 - mmengine - INFO - Epoch(train) [86][1980/3757] lr: 5.4358e-03 eta: 1 day, 15:08:51 time: 0.4018 data_time: 0.0148 memory: 17007 grad_norm: 7.2839 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1241 loss: 2.1241 2022/07/28 05:10:50 - mmengine - INFO - Epoch(train) [86][2000/3757] lr: 5.4358e-03 eta: 1 day, 15:08:43 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 7.4661 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2297 loss: 2.2297 2022/07/28 05:10:59 - mmengine - INFO - Epoch(train) [86][2020/3757] lr: 5.4358e-03 eta: 1 day, 15:08:36 time: 0.4271 data_time: 0.0166 memory: 17007 grad_norm: 7.3830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1240 loss: 2.1240 2022/07/28 05:11:07 - mmengine - INFO - Epoch(train) [86][2040/3757] lr: 5.4358e-03 eta: 1 day, 15:08:28 time: 0.4015 data_time: 0.0171 memory: 17007 grad_norm: 7.3292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6809 loss: 1.6809 2022/07/28 05:11:15 - mmengine - INFO - Epoch(train) [86][2060/3757] lr: 5.4358e-03 eta: 1 day, 15:08:20 time: 0.3948 data_time: 0.0162 memory: 17007 grad_norm: 6.9081 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9409 loss: 1.9409 2022/07/28 05:11:23 - mmengine - INFO - Epoch(train) [86][2080/3757] lr: 5.4358e-03 eta: 1 day, 15:08:12 time: 0.3997 data_time: 0.0162 memory: 17007 grad_norm: 7.0383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0494 loss: 2.0494 2022/07/28 05:11:31 - mmengine - INFO - Epoch(train) [86][2100/3757] lr: 5.4358e-03 eta: 1 day, 15:08:04 time: 0.3919 data_time: 0.0139 memory: 17007 grad_norm: 7.2851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9643 loss: 1.9643 2022/07/28 05:11:39 - mmengine - INFO - Epoch(train) [86][2120/3757] lr: 5.4358e-03 eta: 1 day, 15:07:56 time: 0.3937 data_time: 0.0160 memory: 17007 grad_norm: 7.7673 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1920 loss: 2.1920 2022/07/28 05:11:46 - mmengine - INFO - Epoch(train) [86][2140/3757] lr: 5.4358e-03 eta: 1 day, 15:07:48 time: 0.3958 data_time: 0.0146 memory: 17007 grad_norm: 7.4435 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7629 loss: 1.7629 2022/07/28 05:11:54 - mmengine - INFO - Epoch(train) [86][2160/3757] lr: 5.4358e-03 eta: 1 day, 15:07:40 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.1310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8715 loss: 1.8715 2022/07/28 05:12:02 - mmengine - INFO - Epoch(train) [86][2180/3757] lr: 5.4358e-03 eta: 1 day, 15:07:32 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 7.2605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2042 loss: 2.2042 2022/07/28 05:12:10 - mmengine - INFO - Epoch(train) [86][2200/3757] lr: 5.4358e-03 eta: 1 day, 15:07:24 time: 0.3930 data_time: 0.0146 memory: 17007 grad_norm: 7.1775 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2492 loss: 2.2492 2022/07/28 05:12:18 - mmengine - INFO - Epoch(train) [86][2220/3757] lr: 5.4358e-03 eta: 1 day, 15:07:16 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 6.9074 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9615 loss: 1.9615 2022/07/28 05:12:26 - mmengine - INFO - Epoch(train) [86][2240/3757] lr: 5.4358e-03 eta: 1 day, 15:07:08 time: 0.4002 data_time: 0.0166 memory: 17007 grad_norm: 7.5164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1660 loss: 2.1660 2022/07/28 05:12:34 - mmengine - INFO - Epoch(train) [86][2260/3757] lr: 5.4358e-03 eta: 1 day, 15:07:00 time: 0.3926 data_time: 0.0139 memory: 17007 grad_norm: 7.0454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0299 loss: 2.0299 2022/07/28 05:12:42 - mmengine - INFO - Epoch(train) [86][2280/3757] lr: 5.4358e-03 eta: 1 day, 15:06:52 time: 0.3952 data_time: 0.0166 memory: 17007 grad_norm: 7.4570 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0840 loss: 2.0840 2022/07/28 05:12:50 - mmengine - INFO - Epoch(train) [86][2300/3757] lr: 5.4358e-03 eta: 1 day, 15:06:44 time: 0.3948 data_time: 0.0142 memory: 17007 grad_norm: 7.2895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0437 loss: 2.0437 2022/07/28 05:12:58 - mmengine - INFO - Epoch(train) [86][2320/3757] lr: 5.4358e-03 eta: 1 day, 15:06:36 time: 0.3944 data_time: 0.0164 memory: 17007 grad_norm: 7.5114 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8746 loss: 1.8746 2022/07/28 05:13:06 - mmengine - INFO - Epoch(train) [86][2340/3757] lr: 5.4358e-03 eta: 1 day, 15:06:28 time: 0.3961 data_time: 0.0161 memory: 17007 grad_norm: 7.7049 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0084 loss: 2.0084 2022/07/28 05:13:14 - mmengine - INFO - Epoch(train) [86][2360/3757] lr: 5.4358e-03 eta: 1 day, 15:06:20 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 7.6019 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8339 loss: 1.8339 2022/07/28 05:13:21 - mmengine - INFO - Epoch(train) [86][2380/3757] lr: 5.4358e-03 eta: 1 day, 15:06:12 time: 0.3947 data_time: 0.0161 memory: 17007 grad_norm: 8.7393 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0559 loss: 2.0559 2022/07/28 05:13:29 - mmengine - INFO - Epoch(train) [86][2400/3757] lr: 5.4358e-03 eta: 1 day, 15:06:04 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 7.3608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0323 loss: 2.0323 2022/07/28 05:13:37 - mmengine - INFO - Epoch(train) [86][2420/3757] lr: 5.4358e-03 eta: 1 day, 15:05:56 time: 0.3953 data_time: 0.0137 memory: 17007 grad_norm: 7.5075 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9805 loss: 1.9805 2022/07/28 05:13:45 - mmengine - INFO - Epoch(train) [86][2440/3757] lr: 5.4358e-03 eta: 1 day, 15:05:49 time: 0.4025 data_time: 0.0175 memory: 17007 grad_norm: 7.4457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1719 loss: 2.1719 2022/07/28 05:13:53 - mmengine - INFO - Epoch(train) [86][2460/3757] lr: 5.4358e-03 eta: 1 day, 15:05:41 time: 0.3940 data_time: 0.0145 memory: 17007 grad_norm: 7.3218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8665 loss: 1.8665 2022/07/28 05:14:01 - mmengine - INFO - Epoch(train) [86][2480/3757] lr: 5.4358e-03 eta: 1 day, 15:05:33 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 7.3552 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3645 loss: 2.3645 2022/07/28 05:14:09 - mmengine - INFO - Epoch(train) [86][2500/3757] lr: 5.4358e-03 eta: 1 day, 15:05:25 time: 0.3961 data_time: 0.0152 memory: 17007 grad_norm: 7.2168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2954 loss: 2.2954 2022/07/28 05:14:17 - mmengine - INFO - Epoch(train) [86][2520/3757] lr: 5.4358e-03 eta: 1 day, 15:05:17 time: 0.3951 data_time: 0.0164 memory: 17007 grad_norm: 7.4554 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1470 loss: 2.1470 2022/07/28 05:14:25 - mmengine - INFO - Epoch(train) [86][2540/3757] lr: 5.4358e-03 eta: 1 day, 15:05:09 time: 0.4167 data_time: 0.0177 memory: 17007 grad_norm: 7.3448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1623 loss: 2.1623 2022/07/28 05:14:33 - mmengine - INFO - Epoch(train) [86][2560/3757] lr: 5.4358e-03 eta: 1 day, 15:05:01 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 7.2011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8273 loss: 1.8273 2022/07/28 05:14:41 - mmengine - INFO - Epoch(train) [86][2580/3757] lr: 5.4358e-03 eta: 1 day, 15:04:53 time: 0.3916 data_time: 0.0147 memory: 17007 grad_norm: 7.5425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7441 loss: 1.7441 2022/07/28 05:14:50 - mmengine - INFO - Epoch(train) [86][2600/3757] lr: 5.4358e-03 eta: 1 day, 15:04:46 time: 0.4440 data_time: 0.0161 memory: 17007 grad_norm: 7.5166 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0431 loss: 2.0431 2022/07/28 05:14:58 - mmengine - INFO - Epoch(train) [86][2620/3757] lr: 5.4358e-03 eta: 1 day, 15:04:38 time: 0.3946 data_time: 0.0152 memory: 17007 grad_norm: 7.0719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9426 loss: 1.9426 2022/07/28 05:15:06 - mmengine - INFO - Epoch(train) [86][2640/3757] lr: 5.4358e-03 eta: 1 day, 15:04:30 time: 0.4024 data_time: 0.0182 memory: 17007 grad_norm: 7.1929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0570 loss: 2.0570 2022/07/28 05:15:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:15:14 - mmengine - INFO - Epoch(train) [86][2660/3757] lr: 5.4358e-03 eta: 1 day, 15:04:22 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 7.5487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4373 loss: 2.4373 2022/07/28 05:15:22 - mmengine - INFO - Epoch(train) [86][2680/3757] lr: 5.4358e-03 eta: 1 day, 15:04:14 time: 0.3939 data_time: 0.0160 memory: 17007 grad_norm: 7.2193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1321 loss: 2.1321 2022/07/28 05:15:30 - mmengine - INFO - Epoch(train) [86][2700/3757] lr: 5.4358e-03 eta: 1 day, 15:04:06 time: 0.3982 data_time: 0.0158 memory: 17007 grad_norm: 7.3217 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9493 loss: 1.9493 2022/07/28 05:15:38 - mmengine - INFO - Epoch(train) [86][2720/3757] lr: 5.4358e-03 eta: 1 day, 15:03:58 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 7.3994 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2324 loss: 2.2324 2022/07/28 05:15:46 - mmengine - INFO - Epoch(train) [86][2740/3757] lr: 5.4358e-03 eta: 1 day, 15:03:51 time: 0.4090 data_time: 0.0162 memory: 17007 grad_norm: 7.2222 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2311 loss: 2.2311 2022/07/28 05:15:54 - mmengine - INFO - Epoch(train) [86][2760/3757] lr: 5.4358e-03 eta: 1 day, 15:03:43 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 7.2952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2759 loss: 2.2759 2022/07/28 05:16:01 - mmengine - INFO - Epoch(train) [86][2780/3757] lr: 5.4358e-03 eta: 1 day, 15:03:35 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 7.2133 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7284 loss: 1.7284 2022/07/28 05:16:10 - mmengine - INFO - Epoch(train) [86][2800/3757] lr: 5.4358e-03 eta: 1 day, 15:03:27 time: 0.4178 data_time: 0.0173 memory: 17007 grad_norm: 7.2438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2744 loss: 2.2744 2022/07/28 05:16:18 - mmengine - INFO - Epoch(train) [86][2820/3757] lr: 5.4358e-03 eta: 1 day, 15:03:19 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 7.4370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4820 loss: 2.4820 2022/07/28 05:16:26 - mmengine - INFO - Epoch(train) [86][2840/3757] lr: 5.4358e-03 eta: 1 day, 15:03:11 time: 0.3965 data_time: 0.0163 memory: 17007 grad_norm: 7.1870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2080 loss: 2.2080 2022/07/28 05:16:34 - mmengine - INFO - Epoch(train) [86][2860/3757] lr: 5.4358e-03 eta: 1 day, 15:03:03 time: 0.3938 data_time: 0.0145 memory: 17007 grad_norm: 7.3458 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9574 loss: 1.9574 2022/07/28 05:16:41 - mmengine - INFO - Epoch(train) [86][2880/3757] lr: 5.4358e-03 eta: 1 day, 15:02:55 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 7.2071 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9420 loss: 1.9420 2022/07/28 05:16:49 - mmengine - INFO - Epoch(train) [86][2900/3757] lr: 5.4358e-03 eta: 1 day, 15:02:47 time: 0.4011 data_time: 0.0162 memory: 17007 grad_norm: 7.2899 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9959 loss: 1.9959 2022/07/28 05:16:57 - mmengine - INFO - Epoch(train) [86][2920/3757] lr: 5.4358e-03 eta: 1 day, 15:02:39 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 7.0147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0828 loss: 2.0828 2022/07/28 05:17:06 - mmengine - INFO - Epoch(train) [86][2940/3757] lr: 5.4358e-03 eta: 1 day, 15:02:32 time: 0.4158 data_time: 0.0157 memory: 17007 grad_norm: 7.2887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9570 loss: 1.9570 2022/07/28 05:17:14 - mmengine - INFO - Epoch(train) [86][2960/3757] lr: 5.4358e-03 eta: 1 day, 15:02:24 time: 0.3961 data_time: 0.0165 memory: 17007 grad_norm: 7.1133 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2331 loss: 2.2331 2022/07/28 05:17:21 - mmengine - INFO - Epoch(train) [86][2980/3757] lr: 5.4358e-03 eta: 1 day, 15:02:16 time: 0.3931 data_time: 0.0137 memory: 17007 grad_norm: 7.1215 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0935 loss: 2.0935 2022/07/28 05:17:29 - mmengine - INFO - Epoch(train) [86][3000/3757] lr: 5.4358e-03 eta: 1 day, 15:02:08 time: 0.3989 data_time: 0.0157 memory: 17007 grad_norm: 7.3150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1667 loss: 2.1667 2022/07/28 05:17:37 - mmengine - INFO - Epoch(train) [86][3020/3757] lr: 5.4358e-03 eta: 1 day, 15:02:00 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 7.1264 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0662 loss: 2.0662 2022/07/28 05:17:45 - mmengine - INFO - Epoch(train) [86][3040/3757] lr: 5.4358e-03 eta: 1 day, 15:01:52 time: 0.3968 data_time: 0.0151 memory: 17007 grad_norm: 7.1246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0223 loss: 2.0223 2022/07/28 05:17:53 - mmengine - INFO - Epoch(train) [86][3060/3757] lr: 5.4358e-03 eta: 1 day, 15:01:44 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 7.0790 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7971 loss: 1.7971 2022/07/28 05:18:01 - mmengine - INFO - Epoch(train) [86][3080/3757] lr: 5.4358e-03 eta: 1 day, 15:01:36 time: 0.3937 data_time: 0.0152 memory: 17007 grad_norm: 7.3426 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9337 loss: 1.9337 2022/07/28 05:18:09 - mmengine - INFO - Epoch(train) [86][3100/3757] lr: 5.4358e-03 eta: 1 day, 15:01:28 time: 0.3940 data_time: 0.0144 memory: 17007 grad_norm: 7.3376 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2261 loss: 2.2261 2022/07/28 05:18:17 - mmengine - INFO - Epoch(train) [86][3120/3757] lr: 5.4358e-03 eta: 1 day, 15:01:20 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 7.1280 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0842 loss: 2.0842 2022/07/28 05:18:25 - mmengine - INFO - Epoch(train) [86][3140/3757] lr: 5.4358e-03 eta: 1 day, 15:01:12 time: 0.3922 data_time: 0.0145 memory: 17007 grad_norm: 7.6006 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1612 loss: 2.1612 2022/07/28 05:18:33 - mmengine - INFO - Epoch(train) [86][3160/3757] lr: 5.4358e-03 eta: 1 day, 15:01:04 time: 0.3971 data_time: 0.0164 memory: 17007 grad_norm: 7.2531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9123 loss: 1.9123 2022/07/28 05:18:41 - mmengine - INFO - Epoch(train) [86][3180/3757] lr: 5.4358e-03 eta: 1 day, 15:00:56 time: 0.3949 data_time: 0.0138 memory: 17007 grad_norm: 7.7022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2541 loss: 2.2541 2022/07/28 05:18:49 - mmengine - INFO - Epoch(train) [86][3200/3757] lr: 5.4358e-03 eta: 1 day, 15:00:48 time: 0.3923 data_time: 0.0146 memory: 17007 grad_norm: 7.4663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1680 loss: 2.1680 2022/07/28 05:18:56 - mmengine - INFO - Epoch(train) [86][3220/3757] lr: 5.4358e-03 eta: 1 day, 15:00:40 time: 0.3981 data_time: 0.0164 memory: 17007 grad_norm: 7.2139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9218 loss: 1.9218 2022/07/28 05:19:04 - mmengine - INFO - Epoch(train) [86][3240/3757] lr: 5.4358e-03 eta: 1 day, 15:00:32 time: 0.3930 data_time: 0.0150 memory: 17007 grad_norm: 7.2462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0797 loss: 2.0797 2022/07/28 05:19:12 - mmengine - INFO - Epoch(train) [86][3260/3757] lr: 5.4358e-03 eta: 1 day, 15:00:24 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 7.5989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3577 loss: 2.3577 2022/07/28 05:19:20 - mmengine - INFO - Epoch(train) [86][3280/3757] lr: 5.4358e-03 eta: 1 day, 15:00:16 time: 0.3987 data_time: 0.0164 memory: 17007 grad_norm: 7.3055 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9361 loss: 1.9361 2022/07/28 05:19:28 - mmengine - INFO - Epoch(train) [86][3300/3757] lr: 5.4358e-03 eta: 1 day, 15:00:08 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 7.2482 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8209 loss: 1.8209 2022/07/28 05:19:36 - mmengine - INFO - Epoch(train) [86][3320/3757] lr: 5.4358e-03 eta: 1 day, 15:00:00 time: 0.3960 data_time: 0.0164 memory: 17007 grad_norm: 7.0306 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9512 loss: 1.9512 2022/07/28 05:19:44 - mmengine - INFO - Epoch(train) [86][3340/3757] lr: 5.4358e-03 eta: 1 day, 14:59:52 time: 0.3947 data_time: 0.0147 memory: 17007 grad_norm: 7.5318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8672 loss: 1.8672 2022/07/28 05:19:52 - mmengine - INFO - Epoch(train) [86][3360/3757] lr: 5.4358e-03 eta: 1 day, 14:59:44 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 7.3048 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1926 loss: 2.1926 2022/07/28 05:20:00 - mmengine - INFO - Epoch(train) [86][3380/3757] lr: 5.4358e-03 eta: 1 day, 14:59:36 time: 0.3958 data_time: 0.0154 memory: 17007 grad_norm: 7.0975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7164 loss: 1.7164 2022/07/28 05:20:08 - mmengine - INFO - Epoch(train) [86][3400/3757] lr: 5.4358e-03 eta: 1 day, 14:59:28 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 7.5781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0654 loss: 2.0654 2022/07/28 05:20:16 - mmengine - INFO - Epoch(train) [86][3420/3757] lr: 5.4358e-03 eta: 1 day, 14:59:20 time: 0.3989 data_time: 0.0157 memory: 17007 grad_norm: 7.5068 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1532 loss: 2.1532 2022/07/28 05:20:28 - mmengine - INFO - Epoch(train) [86][3440/3757] lr: 5.4358e-03 eta: 1 day, 14:59:17 time: 0.5948 data_time: 0.0733 memory: 17007 grad_norm: 7.2055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8794 loss: 1.8794 2022/07/28 05:20:44 - mmengine - INFO - Epoch(train) [86][3460/3757] lr: 5.4358e-03 eta: 1 day, 14:59:18 time: 0.8337 data_time: 0.0846 memory: 17007 grad_norm: 7.4825 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9199 loss: 1.9199 2022/07/28 05:20:52 - mmengine - INFO - Epoch(train) [86][3480/3757] lr: 5.4358e-03 eta: 1 day, 14:59:10 time: 0.3994 data_time: 0.0187 memory: 17007 grad_norm: 7.0322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8591 loss: 1.8591 2022/07/28 05:21:02 - mmengine - INFO - Epoch(train) [86][3500/3757] lr: 5.4358e-03 eta: 1 day, 14:59:05 time: 0.5117 data_time: 0.0233 memory: 17007 grad_norm: 7.0974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9746 loss: 1.9746 2022/07/28 05:21:12 - mmengine - INFO - Epoch(train) [86][3520/3757] lr: 5.4358e-03 eta: 1 day, 14:58:59 time: 0.4925 data_time: 0.0171 memory: 17007 grad_norm: 7.1813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1619 loss: 2.1619 2022/07/28 05:21:23 - mmengine - INFO - Epoch(train) [86][3540/3757] lr: 5.4358e-03 eta: 1 day, 14:58:54 time: 0.5422 data_time: 0.1081 memory: 17007 grad_norm: 7.2266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2679 loss: 2.2679 2022/07/28 05:21:34 - mmengine - INFO - Epoch(train) [86][3560/3757] lr: 5.4358e-03 eta: 1 day, 14:58:49 time: 0.5279 data_time: 0.0168 memory: 17007 grad_norm: 7.3187 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9826 loss: 1.9826 2022/07/28 05:21:44 - mmengine - INFO - Epoch(train) [86][3580/3757] lr: 5.4358e-03 eta: 1 day, 14:58:44 time: 0.5064 data_time: 0.0144 memory: 17007 grad_norm: 7.1923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1457 loss: 2.1457 2022/07/28 05:21:54 - mmengine - INFO - Epoch(train) [86][3600/3757] lr: 5.4358e-03 eta: 1 day, 14:58:38 time: 0.4959 data_time: 0.0383 memory: 17007 grad_norm: 7.3322 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0354 loss: 2.0354 2022/07/28 05:22:02 - mmengine - INFO - Epoch(train) [86][3620/3757] lr: 5.4358e-03 eta: 1 day, 14:58:30 time: 0.3916 data_time: 0.0137 memory: 17007 grad_norm: 7.4358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9893 loss: 1.9893 2022/07/28 05:22:11 - mmengine - INFO - Epoch(train) [86][3640/3757] lr: 5.4358e-03 eta: 1 day, 14:58:24 time: 0.4829 data_time: 0.0158 memory: 17007 grad_norm: 7.7259 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0253 loss: 2.0253 2022/07/28 05:22:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:22:23 - mmengine - INFO - Epoch(train) [86][3660/3757] lr: 5.4358e-03 eta: 1 day, 14:58:20 time: 0.5933 data_time: 0.0150 memory: 17007 grad_norm: 7.2690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1426 loss: 2.1426 2022/07/28 05:22:33 - mmengine - INFO - Epoch(train) [86][3680/3757] lr: 5.4358e-03 eta: 1 day, 14:58:14 time: 0.4837 data_time: 0.0165 memory: 17007 grad_norm: 7.4343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1070 loss: 2.1070 2022/07/28 05:22:49 - mmengine - INFO - Epoch(train) [86][3700/3757] lr: 5.4358e-03 eta: 1 day, 14:58:15 time: 0.7879 data_time: 0.4064 memory: 17007 grad_norm: 7.0460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2555 loss: 2.2555 2022/07/28 05:22:57 - mmengine - INFO - Epoch(train) [86][3720/3757] lr: 5.4358e-03 eta: 1 day, 14:58:07 time: 0.4146 data_time: 0.0122 memory: 17007 grad_norm: 7.5666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3454 loss: 2.3454 2022/07/28 05:23:07 - mmengine - INFO - Epoch(train) [86][3740/3757] lr: 5.4358e-03 eta: 1 day, 14:58:01 time: 0.4831 data_time: 0.0135 memory: 17007 grad_norm: 7.6157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0795 loss: 2.0795 2022/07/28 05:23:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:23:14 - mmengine - INFO - Epoch(train) [86][3757/3757] lr: 5.4358e-03 eta: 1 day, 14:58:01 time: 0.4054 data_time: 0.0155 memory: 17007 grad_norm: 7.3575 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.8231 loss: 1.8231 2022/07/28 05:23:14 - mmengine - INFO - Saving checkpoint at 86 epochs 2022/07/28 05:23:26 - mmengine - INFO - Epoch(train) [87][20/3757] lr: 5.3488e-03 eta: 1 day, 14:57:41 time: 0.4725 data_time: 0.0928 memory: 17007 grad_norm: 7.2111 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2477 loss: 2.2477 2022/07/28 05:23:34 - mmengine - INFO - Epoch(train) [87][40/3757] lr: 5.3488e-03 eta: 1 day, 14:57:33 time: 0.4055 data_time: 0.0170 memory: 17007 grad_norm: 7.1932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1671 loss: 2.1671 2022/07/28 05:23:42 - mmengine - INFO - Epoch(train) [87][60/3757] lr: 5.3488e-03 eta: 1 day, 14:57:25 time: 0.3921 data_time: 0.0143 memory: 17007 grad_norm: 7.3377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1188 loss: 2.1188 2022/07/28 05:23:50 - mmengine - INFO - Epoch(train) [87][80/3757] lr: 5.3488e-03 eta: 1 day, 14:57:17 time: 0.3947 data_time: 0.0160 memory: 17007 grad_norm: 7.4438 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1348 loss: 2.1348 2022/07/28 05:23:58 - mmengine - INFO - Epoch(train) [87][100/3757] lr: 5.3488e-03 eta: 1 day, 14:57:09 time: 0.4060 data_time: 0.0153 memory: 17007 grad_norm: 7.1451 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9464 loss: 1.9464 2022/07/28 05:24:06 - mmengine - INFO - Epoch(train) [87][120/3757] lr: 5.3488e-03 eta: 1 day, 14:57:01 time: 0.3931 data_time: 0.0175 memory: 17007 grad_norm: 7.0055 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1629 loss: 2.1629 2022/07/28 05:24:14 - mmengine - INFO - Epoch(train) [87][140/3757] lr: 5.3488e-03 eta: 1 day, 14:56:53 time: 0.4079 data_time: 0.0161 memory: 17007 grad_norm: 7.2104 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8378 loss: 1.8378 2022/07/28 05:24:22 - mmengine - INFO - Epoch(train) [87][160/3757] lr: 5.3488e-03 eta: 1 day, 14:56:45 time: 0.3929 data_time: 0.0148 memory: 17007 grad_norm: 7.3162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8005 loss: 1.8005 2022/07/28 05:24:30 - mmengine - INFO - Epoch(train) [87][180/3757] lr: 5.3488e-03 eta: 1 day, 14:56:37 time: 0.3930 data_time: 0.0143 memory: 17007 grad_norm: 7.1489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9032 loss: 1.9032 2022/07/28 05:24:38 - mmengine - INFO - Epoch(train) [87][200/3757] lr: 5.3488e-03 eta: 1 day, 14:56:29 time: 0.4026 data_time: 0.0149 memory: 17007 grad_norm: 7.1442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7823 loss: 1.7823 2022/07/28 05:24:45 - mmengine - INFO - Epoch(train) [87][220/3757] lr: 5.3488e-03 eta: 1 day, 14:56:21 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 7.1856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9012 loss: 1.9012 2022/07/28 05:24:53 - mmengine - INFO - Epoch(train) [87][240/3757] lr: 5.3488e-03 eta: 1 day, 14:56:13 time: 0.3980 data_time: 0.0164 memory: 17007 grad_norm: 7.2049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0750 loss: 2.0750 2022/07/28 05:25:01 - mmengine - INFO - Epoch(train) [87][260/3757] lr: 5.3488e-03 eta: 1 day, 14:56:05 time: 0.3922 data_time: 0.0130 memory: 17007 grad_norm: 7.2183 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1584 loss: 2.1584 2022/07/28 05:25:09 - mmengine - INFO - Epoch(train) [87][280/3757] lr: 5.3488e-03 eta: 1 day, 14:55:57 time: 0.3954 data_time: 0.0168 memory: 17007 grad_norm: 7.3233 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7687 loss: 1.7687 2022/07/28 05:25:17 - mmengine - INFO - Epoch(train) [87][300/3757] lr: 5.3488e-03 eta: 1 day, 14:55:50 time: 0.4030 data_time: 0.0145 memory: 17007 grad_norm: 7.3309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3481 loss: 2.3481 2022/07/28 05:25:25 - mmengine - INFO - Epoch(train) [87][320/3757] lr: 5.3488e-03 eta: 1 day, 14:55:42 time: 0.3968 data_time: 0.0160 memory: 17007 grad_norm: 7.0335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8654 loss: 1.8654 2022/07/28 05:25:33 - mmengine - INFO - Epoch(train) [87][340/3757] lr: 5.3488e-03 eta: 1 day, 14:55:34 time: 0.3930 data_time: 0.0134 memory: 17007 grad_norm: 7.3431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1134 loss: 2.1134 2022/07/28 05:25:41 - mmengine - INFO - Epoch(train) [87][360/3757] lr: 5.3488e-03 eta: 1 day, 14:55:26 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 7.2636 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8895 loss: 1.8895 2022/07/28 05:25:49 - mmengine - INFO - Epoch(train) [87][380/3757] lr: 5.3488e-03 eta: 1 day, 14:55:18 time: 0.3974 data_time: 0.0157 memory: 17007 grad_norm: 7.6028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2430 loss: 2.2430 2022/07/28 05:25:57 - mmengine - INFO - Epoch(train) [87][400/3757] lr: 5.3488e-03 eta: 1 day, 14:55:10 time: 0.3954 data_time: 0.0160 memory: 17007 grad_norm: 7.4306 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1206 loss: 2.1206 2022/07/28 05:26:05 - mmengine - INFO - Epoch(train) [87][420/3757] lr: 5.3488e-03 eta: 1 day, 14:55:02 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 7.3523 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3008 loss: 2.3008 2022/07/28 05:26:13 - mmengine - INFO - Epoch(train) [87][440/3757] lr: 5.3488e-03 eta: 1 day, 14:54:54 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 7.2849 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8864 loss: 1.8864 2022/07/28 05:26:21 - mmengine - INFO - Epoch(train) [87][460/3757] lr: 5.3488e-03 eta: 1 day, 14:54:46 time: 0.3932 data_time: 0.0144 memory: 17007 grad_norm: 7.3296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9726 loss: 1.9726 2022/07/28 05:26:28 - mmengine - INFO - Epoch(train) [87][480/3757] lr: 5.3488e-03 eta: 1 day, 14:54:38 time: 0.3982 data_time: 0.0166 memory: 17007 grad_norm: 7.2317 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6527 loss: 1.6527 2022/07/28 05:26:36 - mmengine - INFO - Epoch(train) [87][500/3757] lr: 5.3488e-03 eta: 1 day, 14:54:30 time: 0.3922 data_time: 0.0142 memory: 17007 grad_norm: 7.2987 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9163 loss: 1.9163 2022/07/28 05:26:44 - mmengine - INFO - Epoch(train) [87][520/3757] lr: 5.3488e-03 eta: 1 day, 14:54:22 time: 0.3951 data_time: 0.0147 memory: 17007 grad_norm: 7.7135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9424 loss: 1.9424 2022/07/28 05:26:52 - mmengine - INFO - Epoch(train) [87][540/3757] lr: 5.3488e-03 eta: 1 day, 14:54:14 time: 0.3920 data_time: 0.0131 memory: 17007 grad_norm: 7.3070 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8097 loss: 1.8097 2022/07/28 05:27:00 - mmengine - INFO - Epoch(train) [87][560/3757] lr: 5.3488e-03 eta: 1 day, 14:54:06 time: 0.4046 data_time: 0.0154 memory: 17007 grad_norm: 7.6485 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1726 loss: 2.1726 2022/07/28 05:27:08 - mmengine - INFO - Epoch(train) [87][580/3757] lr: 5.3488e-03 eta: 1 day, 14:53:58 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 7.3970 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2723 loss: 2.2723 2022/07/28 05:27:16 - mmengine - INFO - Epoch(train) [87][600/3757] lr: 5.3488e-03 eta: 1 day, 14:53:50 time: 0.3962 data_time: 0.0151 memory: 17007 grad_norm: 7.2395 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7749 loss: 1.7749 2022/07/28 05:27:24 - mmengine - INFO - Epoch(train) [87][620/3757] lr: 5.3488e-03 eta: 1 day, 14:53:42 time: 0.3973 data_time: 0.0162 memory: 17007 grad_norm: 7.4684 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0404 loss: 2.0404 2022/07/28 05:27:32 - mmengine - INFO - Epoch(train) [87][640/3757] lr: 5.3488e-03 eta: 1 day, 14:53:34 time: 0.3939 data_time: 0.0173 memory: 17007 grad_norm: 7.5220 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9118 loss: 1.9118 2022/07/28 05:27:40 - mmengine - INFO - Epoch(train) [87][660/3757] lr: 5.3488e-03 eta: 1 day, 14:53:26 time: 0.3945 data_time: 0.0150 memory: 17007 grad_norm: 7.6393 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1547 loss: 2.1547 2022/07/28 05:27:48 - mmengine - INFO - Epoch(train) [87][680/3757] lr: 5.3488e-03 eta: 1 day, 14:53:18 time: 0.3964 data_time: 0.0159 memory: 17007 grad_norm: 7.2213 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7688 loss: 1.7688 2022/07/28 05:27:56 - mmengine - INFO - Epoch(train) [87][700/3757] lr: 5.3488e-03 eta: 1 day, 14:53:10 time: 0.3918 data_time: 0.0129 memory: 17007 grad_norm: 7.1072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9996 loss: 1.9996 2022/07/28 05:28:04 - mmengine - INFO - Epoch(train) [87][720/3757] lr: 5.3488e-03 eta: 1 day, 14:53:02 time: 0.3992 data_time: 0.0162 memory: 17007 grad_norm: 7.2238 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8871 loss: 1.8871 2022/07/28 05:28:11 - mmengine - INFO - Epoch(train) [87][740/3757] lr: 5.3488e-03 eta: 1 day, 14:52:54 time: 0.3934 data_time: 0.0140 memory: 17007 grad_norm: 7.3945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2463 loss: 2.2463 2022/07/28 05:28:19 - mmengine - INFO - Epoch(train) [87][760/3757] lr: 5.3488e-03 eta: 1 day, 14:52:46 time: 0.3972 data_time: 0.0158 memory: 17007 grad_norm: 6.9658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7655 loss: 1.7655 2022/07/28 05:28:27 - mmengine - INFO - Epoch(train) [87][780/3757] lr: 5.3488e-03 eta: 1 day, 14:52:38 time: 0.3965 data_time: 0.0149 memory: 17007 grad_norm: 7.3731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7533 loss: 1.7533 2022/07/28 05:28:35 - mmengine - INFO - Epoch(train) [87][800/3757] lr: 5.3488e-03 eta: 1 day, 14:52:30 time: 0.3966 data_time: 0.0163 memory: 17007 grad_norm: 7.5994 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4298 loss: 2.4298 2022/07/28 05:28:43 - mmengine - INFO - Epoch(train) [87][820/3757] lr: 5.3488e-03 eta: 1 day, 14:52:22 time: 0.3929 data_time: 0.0139 memory: 17007 grad_norm: 7.3509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9153 loss: 1.9153 2022/07/28 05:28:51 - mmengine - INFO - Epoch(train) [87][840/3757] lr: 5.3488e-03 eta: 1 day, 14:52:14 time: 0.3931 data_time: 0.0144 memory: 17007 grad_norm: 7.1499 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0265 loss: 2.0265 2022/07/28 05:28:59 - mmengine - INFO - Epoch(train) [87][860/3757] lr: 5.3488e-03 eta: 1 day, 14:52:06 time: 0.3973 data_time: 0.0167 memory: 17007 grad_norm: 7.2669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8152 loss: 1.8152 2022/07/28 05:29:07 - mmengine - INFO - Epoch(train) [87][880/3757] lr: 5.3488e-03 eta: 1 day, 14:51:58 time: 0.3949 data_time: 0.0161 memory: 17007 grad_norm: 7.1188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3362 loss: 2.3362 2022/07/28 05:29:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:29:15 - mmengine - INFO - Epoch(train) [87][900/3757] lr: 5.3488e-03 eta: 1 day, 14:51:50 time: 0.3937 data_time: 0.0155 memory: 17007 grad_norm: 7.4118 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8203 loss: 1.8203 2022/07/28 05:29:23 - mmengine - INFO - Epoch(train) [87][920/3757] lr: 5.3488e-03 eta: 1 day, 14:51:42 time: 0.3961 data_time: 0.0154 memory: 17007 grad_norm: 7.3565 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9802 loss: 1.9802 2022/07/28 05:29:31 - mmengine - INFO - Epoch(train) [87][940/3757] lr: 5.3488e-03 eta: 1 day, 14:51:34 time: 0.3937 data_time: 0.0132 memory: 17007 grad_norm: 7.1198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8696 loss: 1.8696 2022/07/28 05:29:39 - mmengine - INFO - Epoch(train) [87][960/3757] lr: 5.3488e-03 eta: 1 day, 14:51:26 time: 0.3954 data_time: 0.0159 memory: 17007 grad_norm: 7.2941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8167 loss: 1.8167 2022/07/28 05:29:47 - mmengine - INFO - Epoch(train) [87][980/3757] lr: 5.3488e-03 eta: 1 day, 14:51:18 time: 0.4006 data_time: 0.0135 memory: 17007 grad_norm: 7.2341 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1204 loss: 2.1204 2022/07/28 05:29:54 - mmengine - INFO - Epoch(train) [87][1000/3757] lr: 5.3488e-03 eta: 1 day, 14:51:10 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 7.3338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1572 loss: 2.1572 2022/07/28 05:30:02 - mmengine - INFO - Epoch(train) [87][1020/3757] lr: 5.3488e-03 eta: 1 day, 14:51:02 time: 0.3924 data_time: 0.0147 memory: 17007 grad_norm: 7.0916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8558 loss: 1.8558 2022/07/28 05:30:10 - mmengine - INFO - Epoch(train) [87][1040/3757] lr: 5.3488e-03 eta: 1 day, 14:50:54 time: 0.3956 data_time: 0.0153 memory: 17007 grad_norm: 7.4316 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8325 loss: 1.8325 2022/07/28 05:30:18 - mmengine - INFO - Epoch(train) [87][1060/3757] lr: 5.3488e-03 eta: 1 day, 14:50:46 time: 0.3975 data_time: 0.0142 memory: 17007 grad_norm: 7.2585 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9911 loss: 1.9911 2022/07/28 05:30:26 - mmengine - INFO - Epoch(train) [87][1080/3757] lr: 5.3488e-03 eta: 1 day, 14:50:38 time: 0.3953 data_time: 0.0161 memory: 17007 grad_norm: 7.3768 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9337 loss: 1.9337 2022/07/28 05:30:34 - mmengine - INFO - Epoch(train) [87][1100/3757] lr: 5.3488e-03 eta: 1 day, 14:50:30 time: 0.3956 data_time: 0.0152 memory: 17007 grad_norm: 7.2228 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1425 loss: 2.1425 2022/07/28 05:30:42 - mmengine - INFO - Epoch(train) [87][1120/3757] lr: 5.3488e-03 eta: 1 day, 14:50:22 time: 0.3923 data_time: 0.0151 memory: 17007 grad_norm: 7.4310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2416 loss: 2.2416 2022/07/28 05:30:50 - mmengine - INFO - Epoch(train) [87][1140/3757] lr: 5.3488e-03 eta: 1 day, 14:50:14 time: 0.3958 data_time: 0.0151 memory: 17007 grad_norm: 7.2613 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0928 loss: 2.0928 2022/07/28 05:30:58 - mmengine - INFO - Epoch(train) [87][1160/3757] lr: 5.3488e-03 eta: 1 day, 14:50:06 time: 0.3948 data_time: 0.0166 memory: 17007 grad_norm: 7.3655 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1376 loss: 2.1376 2022/07/28 05:31:06 - mmengine - INFO - Epoch(train) [87][1180/3757] lr: 5.3488e-03 eta: 1 day, 14:49:58 time: 0.3981 data_time: 0.0137 memory: 17007 grad_norm: 7.2165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0337 loss: 2.0337 2022/07/28 05:31:14 - mmengine - INFO - Epoch(train) [87][1200/3757] lr: 5.3488e-03 eta: 1 day, 14:49:50 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 7.1085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7580 loss: 1.7580 2022/07/28 05:31:21 - mmengine - INFO - Epoch(train) [87][1220/3757] lr: 5.3488e-03 eta: 1 day, 14:49:42 time: 0.3949 data_time: 0.0127 memory: 17007 grad_norm: 7.1036 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9896 loss: 1.9896 2022/07/28 05:31:30 - mmengine - INFO - Epoch(train) [87][1240/3757] lr: 5.3488e-03 eta: 1 day, 14:49:35 time: 0.4040 data_time: 0.0162 memory: 17007 grad_norm: 7.2637 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1585 loss: 2.1585 2022/07/28 05:31:37 - mmengine - INFO - Epoch(train) [87][1260/3757] lr: 5.3488e-03 eta: 1 day, 14:49:27 time: 0.3946 data_time: 0.0152 memory: 17007 grad_norm: 7.3461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0527 loss: 2.0527 2022/07/28 05:31:45 - mmengine - INFO - Epoch(train) [87][1280/3757] lr: 5.3488e-03 eta: 1 day, 14:49:19 time: 0.3972 data_time: 0.0161 memory: 17007 grad_norm: 7.4823 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2046 loss: 2.2046 2022/07/28 05:31:53 - mmengine - INFO - Epoch(train) [87][1300/3757] lr: 5.3488e-03 eta: 1 day, 14:49:11 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 7.0953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8855 loss: 1.8855 2022/07/28 05:32:01 - mmengine - INFO - Epoch(train) [87][1320/3757] lr: 5.3488e-03 eta: 1 day, 14:49:03 time: 0.3948 data_time: 0.0151 memory: 17007 grad_norm: 7.3871 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1638 loss: 2.1638 2022/07/28 05:32:09 - mmengine - INFO - Epoch(train) [87][1340/3757] lr: 5.3488e-03 eta: 1 day, 14:48:55 time: 0.4025 data_time: 0.0152 memory: 17007 grad_norm: 7.5309 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1289 loss: 2.1289 2022/07/28 05:32:17 - mmengine - INFO - Epoch(train) [87][1360/3757] lr: 5.3488e-03 eta: 1 day, 14:48:47 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 7.2451 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0062 loss: 2.0062 2022/07/28 05:32:25 - mmengine - INFO - Epoch(train) [87][1380/3757] lr: 5.3488e-03 eta: 1 day, 14:48:39 time: 0.3948 data_time: 0.0149 memory: 17007 grad_norm: 7.5698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9859 loss: 1.9859 2022/07/28 05:32:33 - mmengine - INFO - Epoch(train) [87][1400/3757] lr: 5.3488e-03 eta: 1 day, 14:48:31 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 7.3287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1664 loss: 2.1664 2022/07/28 05:32:41 - mmengine - INFO - Epoch(train) [87][1420/3757] lr: 5.3488e-03 eta: 1 day, 14:48:23 time: 0.3953 data_time: 0.0135 memory: 17007 grad_norm: 7.3331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8136 loss: 1.8136 2022/07/28 05:32:49 - mmengine - INFO - Epoch(train) [87][1440/3757] lr: 5.3488e-03 eta: 1 day, 14:48:15 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 7.1058 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9093 loss: 1.9093 2022/07/28 05:32:57 - mmengine - INFO - Epoch(train) [87][1460/3757] lr: 5.3488e-03 eta: 1 day, 14:48:07 time: 0.3957 data_time: 0.0135 memory: 17007 grad_norm: 7.6859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8872 loss: 1.8872 2022/07/28 05:33:05 - mmengine - INFO - Epoch(train) [87][1480/3757] lr: 5.3488e-03 eta: 1 day, 14:47:59 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 7.7372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9727 loss: 1.9727 2022/07/28 05:33:12 - mmengine - INFO - Epoch(train) [87][1500/3757] lr: 5.3488e-03 eta: 1 day, 14:47:51 time: 0.3930 data_time: 0.0138 memory: 17007 grad_norm: 7.2282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9966 loss: 1.9966 2022/07/28 05:33:21 - mmengine - INFO - Epoch(train) [87][1520/3757] lr: 5.3488e-03 eta: 1 day, 14:47:43 time: 0.4019 data_time: 0.0161 memory: 17007 grad_norm: 7.3247 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8940 loss: 1.8940 2022/07/28 05:33:28 - mmengine - INFO - Epoch(train) [87][1540/3757] lr: 5.3488e-03 eta: 1 day, 14:47:35 time: 0.3940 data_time: 0.0147 memory: 17007 grad_norm: 7.4035 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9047 loss: 1.9047 2022/07/28 05:33:36 - mmengine - INFO - Epoch(train) [87][1560/3757] lr: 5.3488e-03 eta: 1 day, 14:47:27 time: 0.4027 data_time: 0.0162 memory: 17007 grad_norm: 7.2757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6847 loss: 1.6847 2022/07/28 05:33:44 - mmengine - INFO - Epoch(train) [87][1580/3757] lr: 5.3488e-03 eta: 1 day, 14:47:19 time: 0.3920 data_time: 0.0131 memory: 17007 grad_norm: 8.4527 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9557 loss: 1.9557 2022/07/28 05:33:52 - mmengine - INFO - Epoch(train) [87][1600/3757] lr: 5.3488e-03 eta: 1 day, 14:47:11 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 7.7231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0129 loss: 2.0129 2022/07/28 05:34:00 - mmengine - INFO - Epoch(train) [87][1620/3757] lr: 5.3488e-03 eta: 1 day, 14:47:03 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 7.4053 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8874 loss: 1.8874 2022/07/28 05:34:08 - mmengine - INFO - Epoch(train) [87][1640/3757] lr: 5.3488e-03 eta: 1 day, 14:46:55 time: 0.4016 data_time: 0.0160 memory: 17007 grad_norm: 7.5225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0870 loss: 2.0870 2022/07/28 05:34:16 - mmengine - INFO - Epoch(train) [87][1660/3757] lr: 5.3488e-03 eta: 1 day, 14:46:47 time: 0.3933 data_time: 0.0142 memory: 17007 grad_norm: 7.5332 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1522 loss: 2.1522 2022/07/28 05:34:24 - mmengine - INFO - Epoch(train) [87][1680/3757] lr: 5.3488e-03 eta: 1 day, 14:46:39 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 7.4568 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0305 loss: 2.0305 2022/07/28 05:34:32 - mmengine - INFO - Epoch(train) [87][1700/3757] lr: 5.3488e-03 eta: 1 day, 14:46:31 time: 0.3944 data_time: 0.0135 memory: 17007 grad_norm: 7.1381 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9038 loss: 1.9038 2022/07/28 05:34:40 - mmengine - INFO - Epoch(train) [87][1720/3757] lr: 5.3488e-03 eta: 1 day, 14:46:23 time: 0.3993 data_time: 0.0158 memory: 17007 grad_norm: 7.3266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1479 loss: 2.1479 2022/07/28 05:34:48 - mmengine - INFO - Epoch(train) [87][1740/3757] lr: 5.3488e-03 eta: 1 day, 14:46:15 time: 0.3940 data_time: 0.0145 memory: 17007 grad_norm: 7.4433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9408 loss: 1.9408 2022/07/28 05:34:56 - mmengine - INFO - Epoch(train) [87][1760/3757] lr: 5.3488e-03 eta: 1 day, 14:46:07 time: 0.3962 data_time: 0.0168 memory: 17007 grad_norm: 7.3170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8596 loss: 1.8596 2022/07/28 05:35:03 - mmengine - INFO - Epoch(train) [87][1780/3757] lr: 5.3488e-03 eta: 1 day, 14:45:59 time: 0.3928 data_time: 0.0144 memory: 17007 grad_norm: 7.5590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9572 loss: 1.9572 2022/07/28 05:35:11 - mmengine - INFO - Epoch(train) [87][1800/3757] lr: 5.3488e-03 eta: 1 day, 14:45:51 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 7.0941 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1225 loss: 2.1225 2022/07/28 05:35:19 - mmengine - INFO - Epoch(train) [87][1820/3757] lr: 5.3488e-03 eta: 1 day, 14:45:43 time: 0.3919 data_time: 0.0134 memory: 17007 grad_norm: 6.9477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8630 loss: 1.8630 2022/07/28 05:35:27 - mmengine - INFO - Epoch(train) [87][1840/3757] lr: 5.3488e-03 eta: 1 day, 14:45:35 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 6.9768 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9138 loss: 1.9138 2022/07/28 05:35:35 - mmengine - INFO - Epoch(train) [87][1860/3757] lr: 5.3488e-03 eta: 1 day, 14:45:27 time: 0.3959 data_time: 0.0142 memory: 17007 grad_norm: 6.8764 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9140 loss: 1.9140 2022/07/28 05:35:43 - mmengine - INFO - Epoch(train) [87][1880/3757] lr: 5.3488e-03 eta: 1 day, 14:45:19 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 7.2073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7774 loss: 1.7774 2022/07/28 05:35:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:35:51 - mmengine - INFO - Epoch(train) [87][1900/3757] lr: 5.3488e-03 eta: 1 day, 14:45:11 time: 0.3959 data_time: 0.0146 memory: 17007 grad_norm: 7.1419 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9187 loss: 1.9187 2022/07/28 05:35:59 - mmengine - INFO - Epoch(train) [87][1920/3757] lr: 5.3488e-03 eta: 1 day, 14:45:03 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 7.0728 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0766 loss: 2.0766 2022/07/28 05:36:07 - mmengine - INFO - Epoch(train) [87][1940/3757] lr: 5.3488e-03 eta: 1 day, 14:44:55 time: 0.3974 data_time: 0.0150 memory: 17007 grad_norm: 7.2220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0181 loss: 2.0181 2022/07/28 05:36:15 - mmengine - INFO - Epoch(train) [87][1960/3757] lr: 5.3488e-03 eta: 1 day, 14:44:47 time: 0.3941 data_time: 0.0155 memory: 17007 grad_norm: 7.4087 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2774 loss: 2.2774 2022/07/28 05:36:23 - mmengine - INFO - Epoch(train) [87][1980/3757] lr: 5.3488e-03 eta: 1 day, 14:44:39 time: 0.3929 data_time: 0.0136 memory: 17007 grad_norm: 7.2683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0159 loss: 2.0159 2022/07/28 05:36:30 - mmengine - INFO - Epoch(train) [87][2000/3757] lr: 5.3488e-03 eta: 1 day, 14:44:31 time: 0.3980 data_time: 0.0167 memory: 17007 grad_norm: 7.3637 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1805 loss: 2.1805 2022/07/28 05:36:38 - mmengine - INFO - Epoch(train) [87][2020/3757] lr: 5.3488e-03 eta: 1 day, 14:44:23 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 6.9728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9721 loss: 1.9721 2022/07/28 05:36:46 - mmengine - INFO - Epoch(train) [87][2040/3757] lr: 5.3488e-03 eta: 1 day, 14:44:15 time: 0.4034 data_time: 0.0153 memory: 17007 grad_norm: 7.5030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9807 loss: 1.9807 2022/07/28 05:36:54 - mmengine - INFO - Epoch(train) [87][2060/3757] lr: 5.3488e-03 eta: 1 day, 14:44:07 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 7.2490 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1019 loss: 2.1019 2022/07/28 05:37:02 - mmengine - INFO - Epoch(train) [87][2080/3757] lr: 5.3488e-03 eta: 1 day, 14:43:59 time: 0.3954 data_time: 0.0160 memory: 17007 grad_norm: 7.1928 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7420 loss: 1.7420 2022/07/28 05:37:10 - mmengine - INFO - Epoch(train) [87][2100/3757] lr: 5.3488e-03 eta: 1 day, 14:43:52 time: 0.3980 data_time: 0.0152 memory: 17007 grad_norm: 7.0355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9139 loss: 1.9139 2022/07/28 05:37:18 - mmengine - INFO - Epoch(train) [87][2120/3757] lr: 5.3488e-03 eta: 1 day, 14:43:44 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 7.3950 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9451 loss: 1.9451 2022/07/28 05:37:26 - mmengine - INFO - Epoch(train) [87][2140/3757] lr: 5.3488e-03 eta: 1 day, 14:43:36 time: 0.4050 data_time: 0.0155 memory: 17007 grad_norm: 7.3626 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1276 loss: 2.1276 2022/07/28 05:37:34 - mmengine - INFO - Epoch(train) [87][2160/3757] lr: 5.3488e-03 eta: 1 day, 14:43:28 time: 0.3953 data_time: 0.0166 memory: 17007 grad_norm: 7.1197 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1152 loss: 2.1152 2022/07/28 05:37:42 - mmengine - INFO - Epoch(train) [87][2180/3757] lr: 5.3488e-03 eta: 1 day, 14:43:20 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 7.1993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1344 loss: 2.1344 2022/07/28 05:37:50 - mmengine - INFO - Epoch(train) [87][2200/3757] lr: 5.3488e-03 eta: 1 day, 14:43:12 time: 0.3973 data_time: 0.0169 memory: 17007 grad_norm: 7.3816 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0855 loss: 2.0855 2022/07/28 05:37:58 - mmengine - INFO - Epoch(train) [87][2220/3757] lr: 5.3488e-03 eta: 1 day, 14:43:04 time: 0.3939 data_time: 0.0144 memory: 17007 grad_norm: 7.0609 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9399 loss: 1.9399 2022/07/28 05:38:06 - mmengine - INFO - Epoch(train) [87][2240/3757] lr: 5.3488e-03 eta: 1 day, 14:42:56 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 7.2840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8328 loss: 1.8328 2022/07/28 05:38:14 - mmengine - INFO - Epoch(train) [87][2260/3757] lr: 5.3488e-03 eta: 1 day, 14:42:48 time: 0.3930 data_time: 0.0149 memory: 17007 grad_norm: 7.6028 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9412 loss: 1.9412 2022/07/28 05:38:22 - mmengine - INFO - Epoch(train) [87][2280/3757] lr: 5.3488e-03 eta: 1 day, 14:42:40 time: 0.3958 data_time: 0.0167 memory: 17007 grad_norm: 7.0325 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1103 loss: 2.1103 2022/07/28 05:38:29 - mmengine - INFO - Epoch(train) [87][2300/3757] lr: 5.3488e-03 eta: 1 day, 14:42:32 time: 0.3926 data_time: 0.0145 memory: 17007 grad_norm: 7.1480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9570 loss: 1.9570 2022/07/28 05:38:37 - mmengine - INFO - Epoch(train) [87][2320/3757] lr: 5.3488e-03 eta: 1 day, 14:42:24 time: 0.4012 data_time: 0.0175 memory: 17007 grad_norm: 7.2918 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7085 loss: 1.7085 2022/07/28 05:38:45 - mmengine - INFO - Epoch(train) [87][2340/3757] lr: 5.3488e-03 eta: 1 day, 14:42:16 time: 0.3935 data_time: 0.0143 memory: 17007 grad_norm: 7.2179 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1823 loss: 2.1823 2022/07/28 05:38:53 - mmengine - INFO - Epoch(train) [87][2360/3757] lr: 5.3488e-03 eta: 1 day, 14:42:08 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 7.3918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9643 loss: 1.9643 2022/07/28 05:39:01 - mmengine - INFO - Epoch(train) [87][2380/3757] lr: 5.3488e-03 eta: 1 day, 14:42:00 time: 0.3950 data_time: 0.0149 memory: 17007 grad_norm: 7.2868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8238 loss: 1.8238 2022/07/28 05:39:09 - mmengine - INFO - Epoch(train) [87][2400/3757] lr: 5.3488e-03 eta: 1 day, 14:41:52 time: 0.3926 data_time: 0.0144 memory: 17007 grad_norm: 7.3081 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9194 loss: 1.9194 2022/07/28 05:39:17 - mmengine - INFO - Epoch(train) [87][2420/3757] lr: 5.3488e-03 eta: 1 day, 14:41:44 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 7.8199 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1611 loss: 2.1611 2022/07/28 05:39:25 - mmengine - INFO - Epoch(train) [87][2440/3757] lr: 5.3488e-03 eta: 1 day, 14:41:36 time: 0.3957 data_time: 0.0157 memory: 17007 grad_norm: 6.9348 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7228 loss: 1.7228 2022/07/28 05:39:33 - mmengine - INFO - Epoch(train) [87][2460/3757] lr: 5.3488e-03 eta: 1 day, 14:41:28 time: 0.3931 data_time: 0.0141 memory: 17007 grad_norm: 6.9800 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9521 loss: 1.9521 2022/07/28 05:39:41 - mmengine - INFO - Epoch(train) [87][2480/3757] lr: 5.3488e-03 eta: 1 day, 14:41:20 time: 0.3987 data_time: 0.0149 memory: 17007 grad_norm: 7.1803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8886 loss: 1.8886 2022/07/28 05:39:49 - mmengine - INFO - Epoch(train) [87][2500/3757] lr: 5.3488e-03 eta: 1 day, 14:41:12 time: 0.3929 data_time: 0.0145 memory: 17007 grad_norm: 7.6550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0158 loss: 2.0158 2022/07/28 05:39:57 - mmengine - INFO - Epoch(train) [87][2520/3757] lr: 5.3488e-03 eta: 1 day, 14:41:04 time: 0.3982 data_time: 0.0162 memory: 17007 grad_norm: 7.2645 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1347 loss: 2.1347 2022/07/28 05:40:04 - mmengine - INFO - Epoch(train) [87][2540/3757] lr: 5.3488e-03 eta: 1 day, 14:40:56 time: 0.3935 data_time: 0.0146 memory: 17007 grad_norm: 7.4798 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0840 loss: 2.0840 2022/07/28 05:40:12 - mmengine - INFO - Epoch(train) [87][2560/3757] lr: 5.3488e-03 eta: 1 day, 14:40:48 time: 0.3947 data_time: 0.0152 memory: 17007 grad_norm: 7.2292 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0603 loss: 2.0603 2022/07/28 05:40:20 - mmengine - INFO - Epoch(train) [87][2580/3757] lr: 5.3488e-03 eta: 1 day, 14:40:40 time: 0.3948 data_time: 0.0146 memory: 17007 grad_norm: 7.6638 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5331 loss: 2.5331 2022/07/28 05:40:28 - mmengine - INFO - Epoch(train) [87][2600/3757] lr: 5.3488e-03 eta: 1 day, 14:40:32 time: 0.4048 data_time: 0.0157 memory: 17007 grad_norm: 7.3018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2344 loss: 2.2344 2022/07/28 05:40:36 - mmengine - INFO - Epoch(train) [87][2620/3757] lr: 5.3488e-03 eta: 1 day, 14:40:24 time: 0.3966 data_time: 0.0156 memory: 17007 grad_norm: 6.9762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1318 loss: 2.1318 2022/07/28 05:40:44 - mmengine - INFO - Epoch(train) [87][2640/3757] lr: 5.3488e-03 eta: 1 day, 14:40:16 time: 0.3931 data_time: 0.0154 memory: 17007 grad_norm: 7.1265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7963 loss: 1.7963 2022/07/28 05:40:52 - mmengine - INFO - Epoch(train) [87][2660/3757] lr: 5.3488e-03 eta: 1 day, 14:40:08 time: 0.3932 data_time: 0.0135 memory: 17007 grad_norm: 6.9388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7120 loss: 1.7120 2022/07/28 05:41:00 - mmengine - INFO - Epoch(train) [87][2680/3757] lr: 5.3488e-03 eta: 1 day, 14:40:00 time: 0.4011 data_time: 0.0159 memory: 17007 grad_norm: 7.2892 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1428 loss: 2.1428 2022/07/28 05:41:08 - mmengine - INFO - Epoch(train) [87][2700/3757] lr: 5.3488e-03 eta: 1 day, 14:39:52 time: 0.3918 data_time: 0.0146 memory: 17007 grad_norm: 7.2969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8092 loss: 1.8092 2022/07/28 05:41:16 - mmengine - INFO - Epoch(train) [87][2720/3757] lr: 5.3488e-03 eta: 1 day, 14:39:44 time: 0.3961 data_time: 0.0156 memory: 17007 grad_norm: 7.1279 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9131 loss: 1.9131 2022/07/28 05:41:24 - mmengine - INFO - Epoch(train) [87][2740/3757] lr: 5.3488e-03 eta: 1 day, 14:39:36 time: 0.3927 data_time: 0.0151 memory: 17007 grad_norm: 7.2029 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1955 loss: 2.1955 2022/07/28 05:41:32 - mmengine - INFO - Epoch(train) [87][2760/3757] lr: 5.3488e-03 eta: 1 day, 14:39:28 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.1149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7022 loss: 1.7022 2022/07/28 05:41:40 - mmengine - INFO - Epoch(train) [87][2780/3757] lr: 5.3488e-03 eta: 1 day, 14:39:20 time: 0.3961 data_time: 0.0144 memory: 17007 grad_norm: 7.4963 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1913 loss: 2.1913 2022/07/28 05:41:47 - mmengine - INFO - Epoch(train) [87][2800/3757] lr: 5.3488e-03 eta: 1 day, 14:39:12 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 7.3344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9542 loss: 1.9542 2022/07/28 05:41:55 - mmengine - INFO - Epoch(train) [87][2820/3757] lr: 5.3488e-03 eta: 1 day, 14:39:04 time: 0.3977 data_time: 0.0145 memory: 17007 grad_norm: 7.2455 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9434 loss: 1.9434 2022/07/28 05:42:03 - mmengine - INFO - Epoch(train) [87][2840/3757] lr: 5.3488e-03 eta: 1 day, 14:38:56 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.1189 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9221 loss: 1.9221 2022/07/28 05:42:11 - mmengine - INFO - Epoch(train) [87][2860/3757] lr: 5.3488e-03 eta: 1 day, 14:38:48 time: 0.3965 data_time: 0.0136 memory: 17007 grad_norm: 7.3127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7524 loss: 1.7524 2022/07/28 05:42:19 - mmengine - INFO - Epoch(train) [87][2880/3757] lr: 5.3488e-03 eta: 1 day, 14:38:40 time: 0.3945 data_time: 0.0148 memory: 17007 grad_norm: 7.2989 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7864 loss: 1.7864 2022/07/28 05:42:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:42:27 - mmengine - INFO - Epoch(train) [87][2900/3757] lr: 5.3488e-03 eta: 1 day, 14:38:32 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 7.0584 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1741 loss: 2.1741 2022/07/28 05:42:35 - mmengine - INFO - Epoch(train) [87][2920/3757] lr: 5.3488e-03 eta: 1 day, 14:38:24 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 7.4515 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7150 loss: 1.7150 2022/07/28 05:42:43 - mmengine - INFO - Epoch(train) [87][2940/3757] lr: 5.3488e-03 eta: 1 day, 14:38:16 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 7.5151 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0090 loss: 2.0090 2022/07/28 05:42:51 - mmengine - INFO - Epoch(train) [87][2960/3757] lr: 5.3488e-03 eta: 1 day, 14:38:08 time: 0.3985 data_time: 0.0158 memory: 17007 grad_norm: 7.1739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7237 loss: 1.7237 2022/07/28 05:42:59 - mmengine - INFO - Epoch(train) [87][2980/3757] lr: 5.3488e-03 eta: 1 day, 14:38:00 time: 0.3950 data_time: 0.0149 memory: 17007 grad_norm: 7.1190 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9875 loss: 1.9875 2022/07/28 05:43:07 - mmengine - INFO - Epoch(train) [87][3000/3757] lr: 5.3488e-03 eta: 1 day, 14:37:52 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 7.3727 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1313 loss: 2.1313 2022/07/28 05:43:14 - mmengine - INFO - Epoch(train) [87][3020/3757] lr: 5.3488e-03 eta: 1 day, 14:37:44 time: 0.3940 data_time: 0.0147 memory: 17007 grad_norm: 7.5716 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1111 loss: 2.1111 2022/07/28 05:43:22 - mmengine - INFO - Epoch(train) [87][3040/3757] lr: 5.3488e-03 eta: 1 day, 14:37:36 time: 0.3992 data_time: 0.0151 memory: 17007 grad_norm: 7.6038 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8830 loss: 1.8830 2022/07/28 05:43:30 - mmengine - INFO - Epoch(train) [87][3060/3757] lr: 5.3488e-03 eta: 1 day, 14:37:28 time: 0.3937 data_time: 0.0134 memory: 17007 grad_norm: 7.4417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0153 loss: 2.0153 2022/07/28 05:43:38 - mmengine - INFO - Epoch(train) [87][3080/3757] lr: 5.3488e-03 eta: 1 day, 14:37:21 time: 0.4002 data_time: 0.0178 memory: 17007 grad_norm: 7.0862 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6552 loss: 1.6552 2022/07/28 05:43:46 - mmengine - INFO - Epoch(train) [87][3100/3757] lr: 5.3488e-03 eta: 1 day, 14:37:13 time: 0.3966 data_time: 0.0145 memory: 17007 grad_norm: 7.3278 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2124 loss: 2.2124 2022/07/28 05:43:54 - mmengine - INFO - Epoch(train) [87][3120/3757] lr: 5.3488e-03 eta: 1 day, 14:37:05 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 7.2838 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6853 loss: 1.6853 2022/07/28 05:44:02 - mmengine - INFO - Epoch(train) [87][3140/3757] lr: 5.3488e-03 eta: 1 day, 14:36:57 time: 0.3926 data_time: 0.0122 memory: 17007 grad_norm: 7.3028 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8359 loss: 1.8359 2022/07/28 05:44:10 - mmengine - INFO - Epoch(train) [87][3160/3757] lr: 5.3488e-03 eta: 1 day, 14:36:49 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.2061 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8570 loss: 1.8570 2022/07/28 05:44:18 - mmengine - INFO - Epoch(train) [87][3180/3757] lr: 5.3488e-03 eta: 1 day, 14:36:41 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 7.0817 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7568 loss: 1.7568 2022/07/28 05:44:26 - mmengine - INFO - Epoch(train) [87][3200/3757] lr: 5.3488e-03 eta: 1 day, 14:36:33 time: 0.3937 data_time: 0.0156 memory: 17007 grad_norm: 7.3045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9865 loss: 1.9865 2022/07/28 05:44:34 - mmengine - INFO - Epoch(train) [87][3220/3757] lr: 5.3488e-03 eta: 1 day, 14:36:25 time: 0.3934 data_time: 0.0135 memory: 17007 grad_norm: 7.5413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1777 loss: 2.1777 2022/07/28 05:44:42 - mmengine - INFO - Epoch(train) [87][3240/3757] lr: 5.3488e-03 eta: 1 day, 14:36:17 time: 0.3991 data_time: 0.0168 memory: 17007 grad_norm: 7.3498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1509 loss: 2.1509 2022/07/28 05:44:50 - mmengine - INFO - Epoch(train) [87][3260/3757] lr: 5.3488e-03 eta: 1 day, 14:36:09 time: 0.3943 data_time: 0.0130 memory: 17007 grad_norm: 7.3382 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0155 loss: 2.0155 2022/07/28 05:44:57 - mmengine - INFO - Epoch(train) [87][3280/3757] lr: 5.3488e-03 eta: 1 day, 14:36:01 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 7.2584 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1922 loss: 2.1922 2022/07/28 05:45:05 - mmengine - INFO - Epoch(train) [87][3300/3757] lr: 5.3488e-03 eta: 1 day, 14:35:53 time: 0.3939 data_time: 0.0129 memory: 17007 grad_norm: 6.9105 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7919 loss: 1.7919 2022/07/28 05:45:13 - mmengine - INFO - Epoch(train) [87][3320/3757] lr: 5.3488e-03 eta: 1 day, 14:35:45 time: 0.3979 data_time: 0.0166 memory: 17007 grad_norm: 7.0908 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9288 loss: 1.9288 2022/07/28 05:45:21 - mmengine - INFO - Epoch(train) [87][3340/3757] lr: 5.3488e-03 eta: 1 day, 14:35:37 time: 0.3929 data_time: 0.0135 memory: 17007 grad_norm: 7.1618 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8046 loss: 1.8046 2022/07/28 05:45:29 - mmengine - INFO - Epoch(train) [87][3360/3757] lr: 5.3488e-03 eta: 1 day, 14:35:29 time: 0.3965 data_time: 0.0156 memory: 17007 grad_norm: 7.2491 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0429 loss: 2.0429 2022/07/28 05:45:37 - mmengine - INFO - Epoch(train) [87][3380/3757] lr: 5.3488e-03 eta: 1 day, 14:35:21 time: 0.3939 data_time: 0.0138 memory: 17007 grad_norm: 7.2310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8986 loss: 1.8986 2022/07/28 05:45:45 - mmengine - INFO - Epoch(train) [87][3400/3757] lr: 5.3488e-03 eta: 1 day, 14:35:13 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 7.0818 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0523 loss: 2.0523 2022/07/28 05:45:53 - mmengine - INFO - Epoch(train) [87][3420/3757] lr: 5.3488e-03 eta: 1 day, 14:35:05 time: 0.3967 data_time: 0.0133 memory: 17007 grad_norm: 7.1971 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9263 loss: 1.9263 2022/07/28 05:46:01 - mmengine - INFO - Epoch(train) [87][3440/3757] lr: 5.3488e-03 eta: 1 day, 14:34:57 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 7.1129 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9461 loss: 1.9461 2022/07/28 05:46:09 - mmengine - INFO - Epoch(train) [87][3460/3757] lr: 5.3488e-03 eta: 1 day, 14:34:49 time: 0.3944 data_time: 0.0140 memory: 17007 grad_norm: 7.5657 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0616 loss: 2.0616 2022/07/28 05:46:17 - mmengine - INFO - Epoch(train) [87][3480/3757] lr: 5.3488e-03 eta: 1 day, 14:34:41 time: 0.3963 data_time: 0.0164 memory: 17007 grad_norm: 7.4197 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1193 loss: 2.1193 2022/07/28 05:46:24 - mmengine - INFO - Epoch(train) [87][3500/3757] lr: 5.3488e-03 eta: 1 day, 14:34:33 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 7.3314 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8688 loss: 1.8688 2022/07/28 05:46:32 - mmengine - INFO - Epoch(train) [87][3520/3757] lr: 5.3488e-03 eta: 1 day, 14:34:25 time: 0.4001 data_time: 0.0155 memory: 17007 grad_norm: 7.1080 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9070 loss: 1.9070 2022/07/28 05:46:40 - mmengine - INFO - Epoch(train) [87][3540/3757] lr: 5.3488e-03 eta: 1 day, 14:34:17 time: 0.3949 data_time: 0.0143 memory: 17007 grad_norm: 7.2384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0017 loss: 2.0017 2022/07/28 05:46:48 - mmengine - INFO - Epoch(train) [87][3560/3757] lr: 5.3488e-03 eta: 1 day, 14:34:09 time: 0.3957 data_time: 0.0151 memory: 17007 grad_norm: 7.4973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1137 loss: 2.1137 2022/07/28 05:46:56 - mmengine - INFO - Epoch(train) [87][3580/3757] lr: 5.3488e-03 eta: 1 day, 14:34:01 time: 0.3929 data_time: 0.0166 memory: 17007 grad_norm: 7.5515 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1025 loss: 2.1025 2022/07/28 05:47:04 - mmengine - INFO - Epoch(train) [87][3600/3757] lr: 5.3488e-03 eta: 1 day, 14:33:53 time: 0.3926 data_time: 0.0134 memory: 17007 grad_norm: 7.2247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0648 loss: 2.0648 2022/07/28 05:47:12 - mmengine - INFO - Epoch(train) [87][3620/3757] lr: 5.3488e-03 eta: 1 day, 14:33:45 time: 0.3941 data_time: 0.0138 memory: 17007 grad_norm: 6.9798 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1212 loss: 2.1212 2022/07/28 05:47:20 - mmengine - INFO - Epoch(train) [87][3640/3757] lr: 5.3488e-03 eta: 1 day, 14:33:37 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 7.2698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2053 loss: 2.2053 2022/07/28 05:47:28 - mmengine - INFO - Epoch(train) [87][3660/3757] lr: 5.3488e-03 eta: 1 day, 14:33:29 time: 0.3994 data_time: 0.0151 memory: 17007 grad_norm: 7.4026 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0267 loss: 2.0267 2022/07/28 05:47:36 - mmengine - INFO - Epoch(train) [87][3680/3757] lr: 5.3488e-03 eta: 1 day, 14:33:21 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 6.8191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7403 loss: 1.7403 2022/07/28 05:47:44 - mmengine - INFO - Epoch(train) [87][3700/3757] lr: 5.3488e-03 eta: 1 day, 14:33:13 time: 0.3934 data_time: 0.0154 memory: 17007 grad_norm: 7.3257 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9460 loss: 1.9460 2022/07/28 05:47:51 - mmengine - INFO - Epoch(train) [87][3720/3757] lr: 5.3488e-03 eta: 1 day, 14:33:05 time: 0.3963 data_time: 0.0148 memory: 17007 grad_norm: 6.9131 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0592 loss: 2.0592 2022/07/28 05:47:59 - mmengine - INFO - Epoch(train) [87][3740/3757] lr: 5.3488e-03 eta: 1 day, 14:32:57 time: 0.3929 data_time: 0.0144 memory: 17007 grad_norm: 7.1609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0933 loss: 2.0933 2022/07/28 05:48:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:48:06 - mmengine - INFO - Epoch(train) [87][3757/3757] lr: 5.3488e-03 eta: 1 day, 14:32:57 time: 0.3935 data_time: 0.0165 memory: 17007 grad_norm: 7.0299 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8762 loss: 1.8762 2022/07/28 05:48:06 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/07/28 05:48:17 - mmengine - INFO - Epoch(train) [88][20/3757] lr: 5.2617e-03 eta: 1 day, 14:32:36 time: 0.4430 data_time: 0.0663 memory: 17007 grad_norm: 7.0877 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6797 loss: 1.6797 2022/07/28 05:48:25 - mmengine - INFO - Epoch(train) [88][40/3757] lr: 5.2617e-03 eta: 1 day, 14:32:28 time: 0.3943 data_time: 0.0146 memory: 17007 grad_norm: 6.8893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9754 loss: 1.9754 2022/07/28 05:48:33 - mmengine - INFO - Epoch(train) [88][60/3757] lr: 5.2617e-03 eta: 1 day, 14:32:20 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.0188 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7729 loss: 1.7729 2022/07/28 05:48:41 - mmengine - INFO - Epoch(train) [88][80/3757] lr: 5.2617e-03 eta: 1 day, 14:32:12 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 7.1786 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7932 loss: 1.7932 2022/07/28 05:48:49 - mmengine - INFO - Epoch(train) [88][100/3757] lr: 5.2617e-03 eta: 1 day, 14:32:04 time: 0.3960 data_time: 0.0166 memory: 17007 grad_norm: 7.2501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9849 loss: 1.9849 2022/07/28 05:48:56 - mmengine - INFO - Epoch(train) [88][120/3757] lr: 5.2617e-03 eta: 1 day, 14:31:56 time: 0.3948 data_time: 0.0166 memory: 17007 grad_norm: 7.3185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0642 loss: 2.0642 2022/07/28 05:49:04 - mmengine - INFO - Epoch(train) [88][140/3757] lr: 5.2617e-03 eta: 1 day, 14:31:48 time: 0.3926 data_time: 0.0145 memory: 17007 grad_norm: 7.2010 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0259 loss: 2.0259 2022/07/28 05:49:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:49:12 - mmengine - INFO - Epoch(train) [88][160/3757] lr: 5.2617e-03 eta: 1 day, 14:31:40 time: 0.4011 data_time: 0.0153 memory: 17007 grad_norm: 7.4052 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1278 loss: 2.1278 2022/07/28 05:49:20 - mmengine - INFO - Epoch(train) [88][180/3757] lr: 5.2617e-03 eta: 1 day, 14:31:32 time: 0.3939 data_time: 0.0148 memory: 17007 grad_norm: 7.2217 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9744 loss: 1.9744 2022/07/28 05:49:28 - mmengine - INFO - Epoch(train) [88][200/3757] lr: 5.2617e-03 eta: 1 day, 14:31:24 time: 0.3943 data_time: 0.0165 memory: 17007 grad_norm: 7.5630 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7222 loss: 1.7222 2022/07/28 05:49:36 - mmengine - INFO - Epoch(train) [88][220/3757] lr: 5.2617e-03 eta: 1 day, 14:31:16 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 7.1235 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9945 loss: 1.9945 2022/07/28 05:49:44 - mmengine - INFO - Epoch(train) [88][240/3757] lr: 5.2617e-03 eta: 1 day, 14:31:08 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 7.2536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9477 loss: 1.9477 2022/07/28 05:49:52 - mmengine - INFO - Epoch(train) [88][260/3757] lr: 5.2617e-03 eta: 1 day, 14:31:01 time: 0.4202 data_time: 0.0155 memory: 17007 grad_norm: 7.4027 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2163 loss: 2.2163 2022/07/28 05:50:00 - mmengine - INFO - Epoch(train) [88][280/3757] lr: 5.2617e-03 eta: 1 day, 14:30:53 time: 0.3938 data_time: 0.0160 memory: 17007 grad_norm: 6.9885 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3079 loss: 2.3079 2022/07/28 05:50:08 - mmengine - INFO - Epoch(train) [88][300/3757] lr: 5.2617e-03 eta: 1 day, 14:30:45 time: 0.3992 data_time: 0.0158 memory: 17007 grad_norm: 7.2867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9665 loss: 1.9665 2022/07/28 05:50:16 - mmengine - INFO - Epoch(train) [88][320/3757] lr: 5.2617e-03 eta: 1 day, 14:30:37 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 7.4199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0332 loss: 2.0332 2022/07/28 05:50:24 - mmengine - INFO - Epoch(train) [88][340/3757] lr: 5.2617e-03 eta: 1 day, 14:30:29 time: 0.3988 data_time: 0.0144 memory: 17007 grad_norm: 6.8775 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8072 loss: 1.8072 2022/07/28 05:50:32 - mmengine - INFO - Epoch(train) [88][360/3757] lr: 5.2617e-03 eta: 1 day, 14:30:21 time: 0.3922 data_time: 0.0136 memory: 17007 grad_norm: 7.3832 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1010 loss: 2.1010 2022/07/28 05:50:40 - mmengine - INFO - Epoch(train) [88][380/3757] lr: 5.2617e-03 eta: 1 day, 14:30:13 time: 0.3951 data_time: 0.0174 memory: 17007 grad_norm: 7.3493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8936 loss: 1.8936 2022/07/28 05:50:48 - mmengine - INFO - Epoch(train) [88][400/3757] lr: 5.2617e-03 eta: 1 day, 14:30:05 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 7.2348 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1130 loss: 2.1130 2022/07/28 05:50:56 - mmengine - INFO - Epoch(train) [88][420/3757] lr: 5.2617e-03 eta: 1 day, 14:29:57 time: 0.3948 data_time: 0.0146 memory: 17007 grad_norm: 7.2189 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9853 loss: 1.9853 2022/07/28 05:51:04 - mmengine - INFO - Epoch(train) [88][440/3757] lr: 5.2617e-03 eta: 1 day, 14:29:49 time: 0.3960 data_time: 0.0161 memory: 17007 grad_norm: 7.2840 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0218 loss: 2.0218 2022/07/28 05:51:11 - mmengine - INFO - Epoch(train) [88][460/3757] lr: 5.2617e-03 eta: 1 day, 14:29:41 time: 0.3969 data_time: 0.0159 memory: 17007 grad_norm: 7.4932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0772 loss: 2.0772 2022/07/28 05:51:19 - mmengine - INFO - Epoch(train) [88][480/3757] lr: 5.2617e-03 eta: 1 day, 14:29:33 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.2100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9352 loss: 1.9352 2022/07/28 05:51:27 - mmengine - INFO - Epoch(train) [88][500/3757] lr: 5.2617e-03 eta: 1 day, 14:29:25 time: 0.4008 data_time: 0.0155 memory: 17007 grad_norm: 7.3584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0654 loss: 2.0654 2022/07/28 05:51:35 - mmengine - INFO - Epoch(train) [88][520/3757] lr: 5.2617e-03 eta: 1 day, 14:29:17 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 7.0754 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8694 loss: 1.8694 2022/07/28 05:51:43 - mmengine - INFO - Epoch(train) [88][540/3757] lr: 5.2617e-03 eta: 1 day, 14:29:09 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 7.3001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8375 loss: 1.8375 2022/07/28 05:51:51 - mmengine - INFO - Epoch(train) [88][560/3757] lr: 5.2617e-03 eta: 1 day, 14:29:01 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 7.3632 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2706 loss: 2.2706 2022/07/28 05:51:59 - mmengine - INFO - Epoch(train) [88][580/3757] lr: 5.2617e-03 eta: 1 day, 14:28:53 time: 0.3942 data_time: 0.0159 memory: 17007 grad_norm: 7.3834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0437 loss: 2.0437 2022/07/28 05:52:07 - mmengine - INFO - Epoch(train) [88][600/3757] lr: 5.2617e-03 eta: 1 day, 14:28:45 time: 0.3969 data_time: 0.0163 memory: 17007 grad_norm: 7.2343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9763 loss: 1.9763 2022/07/28 05:52:15 - mmengine - INFO - Epoch(train) [88][620/3757] lr: 5.2617e-03 eta: 1 day, 14:28:37 time: 0.3918 data_time: 0.0141 memory: 17007 grad_norm: 7.3076 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9420 loss: 1.9420 2022/07/28 05:52:23 - mmengine - INFO - Epoch(train) [88][640/3757] lr: 5.2617e-03 eta: 1 day, 14:28:29 time: 0.3968 data_time: 0.0145 memory: 17007 grad_norm: 7.3071 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8916 loss: 1.8916 2022/07/28 05:52:31 - mmengine - INFO - Epoch(train) [88][660/3757] lr: 5.2617e-03 eta: 1 day, 14:28:21 time: 0.3957 data_time: 0.0141 memory: 17007 grad_norm: 7.4229 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0504 loss: 2.0504 2022/07/28 05:52:39 - mmengine - INFO - Epoch(train) [88][680/3757] lr: 5.2617e-03 eta: 1 day, 14:28:13 time: 0.3988 data_time: 0.0152 memory: 17007 grad_norm: 7.0854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9517 loss: 1.9517 2022/07/28 05:52:47 - mmengine - INFO - Epoch(train) [88][700/3757] lr: 5.2617e-03 eta: 1 day, 14:28:05 time: 0.3963 data_time: 0.0159 memory: 17007 grad_norm: 6.9166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6831 loss: 1.6831 2022/07/28 05:52:54 - mmengine - INFO - Epoch(train) [88][720/3757] lr: 5.2617e-03 eta: 1 day, 14:27:57 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 7.4179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1268 loss: 2.1268 2022/07/28 05:53:02 - mmengine - INFO - Epoch(train) [88][740/3757] lr: 5.2617e-03 eta: 1 day, 14:27:49 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 7.3072 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8730 loss: 1.8730 2022/07/28 05:53:10 - mmengine - INFO - Epoch(train) [88][760/3757] lr: 5.2617e-03 eta: 1 day, 14:27:41 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 7.5603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1498 loss: 2.1498 2022/07/28 05:53:18 - mmengine - INFO - Epoch(train) [88][780/3757] lr: 5.2617e-03 eta: 1 day, 14:27:33 time: 0.3941 data_time: 0.0145 memory: 17007 grad_norm: 7.3845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0867 loss: 2.0867 2022/07/28 05:53:26 - mmengine - INFO - Epoch(train) [88][800/3757] lr: 5.2617e-03 eta: 1 day, 14:27:25 time: 0.3991 data_time: 0.0149 memory: 17007 grad_norm: 6.9965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7231 loss: 1.7231 2022/07/28 05:53:34 - mmengine - INFO - Epoch(train) [88][820/3757] lr: 5.2617e-03 eta: 1 day, 14:27:17 time: 0.3933 data_time: 0.0133 memory: 17007 grad_norm: 7.3034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9402 loss: 1.9402 2022/07/28 05:53:42 - mmengine - INFO - Epoch(train) [88][840/3757] lr: 5.2617e-03 eta: 1 day, 14:27:09 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 7.3114 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0452 loss: 2.0452 2022/07/28 05:53:50 - mmengine - INFO - Epoch(train) [88][860/3757] lr: 5.2617e-03 eta: 1 day, 14:27:01 time: 0.3994 data_time: 0.0159 memory: 17007 grad_norm: 7.2455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0067 loss: 2.0067 2022/07/28 05:53:58 - mmengine - INFO - Epoch(train) [88][880/3757] lr: 5.2617e-03 eta: 1 day, 14:26:53 time: 0.3949 data_time: 0.0154 memory: 17007 grad_norm: 7.0463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7819 loss: 1.7819 2022/07/28 05:54:06 - mmengine - INFO - Epoch(train) [88][900/3757] lr: 5.2617e-03 eta: 1 day, 14:26:45 time: 0.3911 data_time: 0.0140 memory: 17007 grad_norm: 7.1523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7914 loss: 1.7914 2022/07/28 05:54:13 - mmengine - INFO - Epoch(train) [88][920/3757] lr: 5.2617e-03 eta: 1 day, 14:26:37 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 7.0523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6936 loss: 1.6936 2022/07/28 05:54:21 - mmengine - INFO - Epoch(train) [88][940/3757] lr: 5.2617e-03 eta: 1 day, 14:26:29 time: 0.3947 data_time: 0.0139 memory: 17007 grad_norm: 7.3762 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9293 loss: 1.9293 2022/07/28 05:54:30 - mmengine - INFO - Epoch(train) [88][960/3757] lr: 5.2617e-03 eta: 1 day, 14:26:22 time: 0.4450 data_time: 0.0167 memory: 17007 grad_norm: 7.3315 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1030 loss: 2.1030 2022/07/28 05:54:38 - mmengine - INFO - Epoch(train) [88][980/3757] lr: 5.2617e-03 eta: 1 day, 14:26:14 time: 0.3927 data_time: 0.0143 memory: 17007 grad_norm: 7.2767 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2583 loss: 2.2583 2022/07/28 05:54:46 - mmengine - INFO - Epoch(train) [88][1000/3757] lr: 5.2617e-03 eta: 1 day, 14:26:06 time: 0.3965 data_time: 0.0151 memory: 17007 grad_norm: 7.1778 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0408 loss: 2.0408 2022/07/28 05:54:54 - mmengine - INFO - Epoch(train) [88][1020/3757] lr: 5.2617e-03 eta: 1 day, 14:25:58 time: 0.3924 data_time: 0.0137 memory: 17007 grad_norm: 7.3333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1201 loss: 2.1201 2022/07/28 05:55:02 - mmengine - INFO - Epoch(train) [88][1040/3757] lr: 5.2617e-03 eta: 1 day, 14:25:50 time: 0.3948 data_time: 0.0147 memory: 17007 grad_norm: 7.2981 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9523 loss: 1.9523 2022/07/28 05:55:10 - mmengine - INFO - Epoch(train) [88][1060/3757] lr: 5.2617e-03 eta: 1 day, 14:25:42 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 7.2848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1005 loss: 2.1005 2022/07/28 05:55:18 - mmengine - INFO - Epoch(train) [88][1080/3757] lr: 5.2617e-03 eta: 1 day, 14:25:34 time: 0.3948 data_time: 0.0152 memory: 17007 grad_norm: 7.3476 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0862 loss: 2.0862 2022/07/28 05:55:26 - mmengine - INFO - Epoch(train) [88][1100/3757] lr: 5.2617e-03 eta: 1 day, 14:25:26 time: 0.3945 data_time: 0.0147 memory: 17007 grad_norm: 7.5845 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7983 loss: 1.7983 2022/07/28 05:55:34 - mmengine - INFO - Epoch(train) [88][1120/3757] lr: 5.2617e-03 eta: 1 day, 14:25:18 time: 0.4100 data_time: 0.0183 memory: 17007 grad_norm: 7.1990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1594 loss: 2.1594 2022/07/28 05:55:42 - mmengine - INFO - Epoch(train) [88][1140/3757] lr: 5.2617e-03 eta: 1 day, 14:25:10 time: 0.3931 data_time: 0.0140 memory: 17007 grad_norm: 7.0775 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0017 loss: 2.0017 2022/07/28 05:55:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 05:55:50 - mmengine - INFO - Epoch(train) [88][1160/3757] lr: 5.2617e-03 eta: 1 day, 14:25:03 time: 0.4057 data_time: 0.0167 memory: 17007 grad_norm: 7.3918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1928 loss: 2.1928 2022/07/28 05:55:58 - mmengine - INFO - Epoch(train) [88][1180/3757] lr: 5.2617e-03 eta: 1 day, 14:24:55 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 7.2109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9726 loss: 1.9726 2022/07/28 05:56:06 - mmengine - INFO - Epoch(train) [88][1200/3757] lr: 5.2617e-03 eta: 1 day, 14:24:47 time: 0.3934 data_time: 0.0142 memory: 17007 grad_norm: 7.2673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9460 loss: 1.9460 2022/07/28 05:56:13 - mmengine - INFO - Epoch(train) [88][1220/3757] lr: 5.2617e-03 eta: 1 day, 14:24:39 time: 0.3970 data_time: 0.0155 memory: 17007 grad_norm: 7.1407 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9542 loss: 1.9542 2022/07/28 05:56:21 - mmengine - INFO - Epoch(train) [88][1240/3757] lr: 5.2617e-03 eta: 1 day, 14:24:31 time: 0.3944 data_time: 0.0145 memory: 17007 grad_norm: 7.1863 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9513 loss: 1.9513 2022/07/28 05:56:29 - mmengine - INFO - Epoch(train) [88][1260/3757] lr: 5.2617e-03 eta: 1 day, 14:24:23 time: 0.3984 data_time: 0.0157 memory: 17007 grad_norm: 7.0078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8591 loss: 1.8591 2022/07/28 05:56:37 - mmengine - INFO - Epoch(train) [88][1280/3757] lr: 5.2617e-03 eta: 1 day, 14:24:15 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 7.0551 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8014 loss: 1.8014 2022/07/28 05:56:45 - mmengine - INFO - Epoch(train) [88][1300/3757] lr: 5.2617e-03 eta: 1 day, 14:24:07 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 7.4203 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6832 loss: 1.6832 2022/07/28 05:56:53 - mmengine - INFO - Epoch(train) [88][1320/3757] lr: 5.2617e-03 eta: 1 day, 14:23:59 time: 0.4067 data_time: 0.0153 memory: 17007 grad_norm: 7.3016 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0612 loss: 2.0612 2022/07/28 05:57:01 - mmengine - INFO - Epoch(train) [88][1340/3757] lr: 5.2617e-03 eta: 1 day, 14:23:51 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 7.5949 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9334 loss: 1.9334 2022/07/28 05:57:09 - mmengine - INFO - Epoch(train) [88][1360/3757] lr: 5.2617e-03 eta: 1 day, 14:23:43 time: 0.3934 data_time: 0.0142 memory: 17007 grad_norm: 7.7151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9920 loss: 1.9920 2022/07/28 05:57:17 - mmengine - INFO - Epoch(train) [88][1380/3757] lr: 5.2617e-03 eta: 1 day, 14:23:35 time: 0.3973 data_time: 0.0146 memory: 17007 grad_norm: 7.6677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1184 loss: 2.1184 2022/07/28 05:57:25 - mmengine - INFO - Epoch(train) [88][1400/3757] lr: 5.2617e-03 eta: 1 day, 14:23:27 time: 0.3923 data_time: 0.0140 memory: 17007 grad_norm: 7.1922 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8326 loss: 1.8326 2022/07/28 05:57:33 - mmengine - INFO - Epoch(train) [88][1420/3757] lr: 5.2617e-03 eta: 1 day, 14:23:19 time: 0.3924 data_time: 0.0150 memory: 17007 grad_norm: 7.1857 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2147 loss: 2.2147 2022/07/28 05:57:41 - mmengine - INFO - Epoch(train) [88][1440/3757] lr: 5.2617e-03 eta: 1 day, 14:23:11 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 7.2964 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6610 loss: 1.6610 2022/07/28 05:57:49 - mmengine - INFO - Epoch(train) [88][1460/3757] lr: 5.2617e-03 eta: 1 day, 14:23:03 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 7.1587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9027 loss: 1.9027 2022/07/28 05:57:56 - mmengine - INFO - Epoch(train) [88][1480/3757] lr: 5.2617e-03 eta: 1 day, 14:22:55 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 7.4634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9035 loss: 1.9035 2022/07/28 05:58:04 - mmengine - INFO - Epoch(train) [88][1500/3757] lr: 5.2617e-03 eta: 1 day, 14:22:47 time: 0.3929 data_time: 0.0144 memory: 17007 grad_norm: 7.4391 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1598 loss: 2.1598 2022/07/28 05:58:12 - mmengine - INFO - Epoch(train) [88][1520/3757] lr: 5.2617e-03 eta: 1 day, 14:22:39 time: 0.3964 data_time: 0.0158 memory: 17007 grad_norm: 7.1966 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0000 loss: 2.0000 2022/07/28 05:58:20 - mmengine - INFO - Epoch(train) [88][1540/3757] lr: 5.2617e-03 eta: 1 day, 14:22:31 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 7.2419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7853 loss: 1.7853 2022/07/28 05:58:28 - mmengine - INFO - Epoch(train) [88][1560/3757] lr: 5.2617e-03 eta: 1 day, 14:22:23 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 7.4110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1872 loss: 2.1872 2022/07/28 05:58:36 - mmengine - INFO - Epoch(train) [88][1580/3757] lr: 5.2617e-03 eta: 1 day, 14:22:15 time: 0.3923 data_time: 0.0137 memory: 17007 grad_norm: 7.3848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0897 loss: 2.0897 2022/07/28 05:58:44 - mmengine - INFO - Epoch(train) [88][1600/3757] lr: 5.2617e-03 eta: 1 day, 14:22:07 time: 0.3948 data_time: 0.0138 memory: 17007 grad_norm: 7.5583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9297 loss: 1.9297 2022/07/28 05:58:52 - mmengine - INFO - Epoch(train) [88][1620/3757] lr: 5.2617e-03 eta: 1 day, 14:21:59 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 7.3564 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0747 loss: 2.0747 2022/07/28 05:59:02 - mmengine - INFO - Epoch(train) [88][1640/3757] lr: 5.2617e-03 eta: 1 day, 14:21:53 time: 0.5082 data_time: 0.0147 memory: 17007 grad_norm: 7.3642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0134 loss: 2.0134 2022/07/28 05:59:10 - mmengine - INFO - Epoch(train) [88][1660/3757] lr: 5.2617e-03 eta: 1 day, 14:21:45 time: 0.3935 data_time: 0.0170 memory: 17007 grad_norm: 7.2999 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8631 loss: 1.8631 2022/07/28 05:59:18 - mmengine - INFO - Epoch(train) [88][1680/3757] lr: 5.2617e-03 eta: 1 day, 14:21:37 time: 0.3953 data_time: 0.0142 memory: 17007 grad_norm: 7.3361 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0843 loss: 2.0843 2022/07/28 05:59:26 - mmengine - INFO - Epoch(train) [88][1700/3757] lr: 5.2617e-03 eta: 1 day, 14:21:29 time: 0.3933 data_time: 0.0153 memory: 17007 grad_norm: 7.2742 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1144 loss: 2.1144 2022/07/28 05:59:33 - mmengine - INFO - Epoch(train) [88][1720/3757] lr: 5.2617e-03 eta: 1 day, 14:21:21 time: 0.3953 data_time: 0.0135 memory: 17007 grad_norm: 7.2405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9940 loss: 1.9940 2022/07/28 05:59:41 - mmengine - INFO - Epoch(train) [88][1740/3757] lr: 5.2617e-03 eta: 1 day, 14:21:13 time: 0.3966 data_time: 0.0166 memory: 17007 grad_norm: 6.9950 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1338 loss: 2.1338 2022/07/28 05:59:49 - mmengine - INFO - Epoch(train) [88][1760/3757] lr: 5.2617e-03 eta: 1 day, 14:21:05 time: 0.3933 data_time: 0.0139 memory: 17007 grad_norm: 7.2214 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9437 loss: 1.9437 2022/07/28 05:59:57 - mmengine - INFO - Epoch(train) [88][1780/3757] lr: 5.2617e-03 eta: 1 day, 14:20:58 time: 0.4036 data_time: 0.0161 memory: 17007 grad_norm: 7.1344 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8729 loss: 1.8729 2022/07/28 06:00:08 - mmengine - INFO - Epoch(train) [88][1800/3757] lr: 5.2617e-03 eta: 1 day, 14:20:53 time: 0.5532 data_time: 0.0155 memory: 17007 grad_norm: 7.2123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9659 loss: 1.9659 2022/07/28 06:00:16 - mmengine - INFO - Epoch(train) [88][1820/3757] lr: 5.2617e-03 eta: 1 day, 14:20:45 time: 0.3940 data_time: 0.0161 memory: 17007 grad_norm: 7.4455 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9999 loss: 1.9999 2022/07/28 06:00:24 - mmengine - INFO - Epoch(train) [88][1840/3757] lr: 5.2617e-03 eta: 1 day, 14:20:37 time: 0.3950 data_time: 0.0133 memory: 17007 grad_norm: 7.5275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0966 loss: 2.0966 2022/07/28 06:00:32 - mmengine - INFO - Epoch(train) [88][1860/3757] lr: 5.2617e-03 eta: 1 day, 14:20:29 time: 0.3951 data_time: 0.0151 memory: 17007 grad_norm: 7.1093 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1150 loss: 2.1150 2022/07/28 06:00:40 - mmengine - INFO - Epoch(train) [88][1880/3757] lr: 5.2617e-03 eta: 1 day, 14:20:21 time: 0.3999 data_time: 0.0170 memory: 17007 grad_norm: 6.8982 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0710 loss: 2.0710 2022/07/28 06:00:48 - mmengine - INFO - Epoch(train) [88][1900/3757] lr: 5.2617e-03 eta: 1 day, 14:20:13 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 6.9423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3752 loss: 2.3752 2022/07/28 06:00:56 - mmengine - INFO - Epoch(train) [88][1920/3757] lr: 5.2617e-03 eta: 1 day, 14:20:05 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 7.2204 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7948 loss: 1.7948 2022/07/28 06:01:04 - mmengine - INFO - Epoch(train) [88][1940/3757] lr: 5.2617e-03 eta: 1 day, 14:19:57 time: 0.4039 data_time: 0.0159 memory: 17007 grad_norm: 7.0687 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8373 loss: 1.8373 2022/07/28 06:01:12 - mmengine - INFO - Epoch(train) [88][1960/3757] lr: 5.2617e-03 eta: 1 day, 14:19:49 time: 0.3931 data_time: 0.0134 memory: 17007 grad_norm: 6.8909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8213 loss: 1.8213 2022/07/28 06:01:20 - mmengine - INFO - Epoch(train) [88][1980/3757] lr: 5.2617e-03 eta: 1 day, 14:19:42 time: 0.4089 data_time: 0.0156 memory: 17007 grad_norm: 7.2606 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1187 loss: 2.1187 2022/07/28 06:01:28 - mmengine - INFO - Epoch(train) [88][2000/3757] lr: 5.2617e-03 eta: 1 day, 14:19:33 time: 0.3937 data_time: 0.0131 memory: 17007 grad_norm: 7.3267 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0203 loss: 2.0203 2022/07/28 06:01:36 - mmengine - INFO - Epoch(train) [88][2020/3757] lr: 5.2617e-03 eta: 1 day, 14:19:25 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 7.1522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7289 loss: 1.7289 2022/07/28 06:01:44 - mmengine - INFO - Epoch(train) [88][2040/3757] lr: 5.2617e-03 eta: 1 day, 14:19:18 time: 0.4013 data_time: 0.0143 memory: 17007 grad_norm: 7.4840 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1812 loss: 2.1812 2022/07/28 06:01:52 - mmengine - INFO - Epoch(train) [88][2060/3757] lr: 5.2617e-03 eta: 1 day, 14:19:10 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 7.0604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7915 loss: 1.7915 2022/07/28 06:02:00 - mmengine - INFO - Epoch(train) [88][2080/3757] lr: 5.2617e-03 eta: 1 day, 14:19:02 time: 0.3943 data_time: 0.0144 memory: 17007 grad_norm: 7.1575 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9606 loss: 1.9606 2022/07/28 06:02:08 - mmengine - INFO - Epoch(train) [88][2100/3757] lr: 5.2617e-03 eta: 1 day, 14:18:54 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 7.3005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9910 loss: 1.9910 2022/07/28 06:02:15 - mmengine - INFO - Epoch(train) [88][2120/3757] lr: 5.2617e-03 eta: 1 day, 14:18:46 time: 0.3928 data_time: 0.0154 memory: 17007 grad_norm: 7.4541 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9678 loss: 1.9678 2022/07/28 06:02:24 - mmengine - INFO - Epoch(train) [88][2140/3757] lr: 5.2617e-03 eta: 1 day, 14:18:38 time: 0.4021 data_time: 0.0167 memory: 17007 grad_norm: 7.3925 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2763 loss: 2.2763 2022/07/28 06:02:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:02:31 - mmengine - INFO - Epoch(train) [88][2160/3757] lr: 5.2617e-03 eta: 1 day, 14:18:30 time: 0.3948 data_time: 0.0134 memory: 17007 grad_norm: 7.2749 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1474 loss: 2.1474 2022/07/28 06:02:39 - mmengine - INFO - Epoch(train) [88][2180/3757] lr: 5.2617e-03 eta: 1 day, 14:18:22 time: 0.3931 data_time: 0.0154 memory: 17007 grad_norm: 7.5635 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2187 loss: 2.2187 2022/07/28 06:02:47 - mmengine - INFO - Epoch(train) [88][2200/3757] lr: 5.2617e-03 eta: 1 day, 14:18:14 time: 0.3973 data_time: 0.0151 memory: 17007 grad_norm: 7.1783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7136 loss: 1.7136 2022/07/28 06:02:55 - mmengine - INFO - Epoch(train) [88][2220/3757] lr: 5.2617e-03 eta: 1 day, 14:18:06 time: 0.3955 data_time: 0.0167 memory: 17007 grad_norm: 7.2877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2966 loss: 2.2966 2022/07/28 06:03:03 - mmengine - INFO - Epoch(train) [88][2240/3757] lr: 5.2617e-03 eta: 1 day, 14:17:58 time: 0.3920 data_time: 0.0121 memory: 17007 grad_norm: 7.1839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9173 loss: 1.9173 2022/07/28 06:03:11 - mmengine - INFO - Epoch(train) [88][2260/3757] lr: 5.2617e-03 eta: 1 day, 14:17:50 time: 0.3983 data_time: 0.0155 memory: 17007 grad_norm: 7.0065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0835 loss: 2.0835 2022/07/28 06:03:19 - mmengine - INFO - Epoch(train) [88][2280/3757] lr: 5.2617e-03 eta: 1 day, 14:17:42 time: 0.3934 data_time: 0.0136 memory: 17007 grad_norm: 7.2209 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2302 loss: 2.2302 2022/07/28 06:03:27 - mmengine - INFO - Epoch(train) [88][2300/3757] lr: 5.2617e-03 eta: 1 day, 14:17:34 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 7.4889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3156 loss: 2.3156 2022/07/28 06:03:35 - mmengine - INFO - Epoch(train) [88][2320/3757] lr: 5.2617e-03 eta: 1 day, 14:17:26 time: 0.3947 data_time: 0.0128 memory: 17007 grad_norm: 7.0576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1105 loss: 2.1105 2022/07/28 06:03:43 - mmengine - INFO - Epoch(train) [88][2340/3757] lr: 5.2617e-03 eta: 1 day, 14:17:18 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 7.3356 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0855 loss: 2.0855 2022/07/28 06:03:51 - mmengine - INFO - Epoch(train) [88][2360/3757] lr: 5.2617e-03 eta: 1 day, 14:17:10 time: 0.3958 data_time: 0.0145 memory: 17007 grad_norm: 7.1027 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1232 loss: 2.1232 2022/07/28 06:03:58 - mmengine - INFO - Epoch(train) [88][2380/3757] lr: 5.2617e-03 eta: 1 day, 14:17:02 time: 0.3969 data_time: 0.0151 memory: 17007 grad_norm: 7.0309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6414 loss: 1.6414 2022/07/28 06:04:06 - mmengine - INFO - Epoch(train) [88][2400/3757] lr: 5.2617e-03 eta: 1 day, 14:16:54 time: 0.3927 data_time: 0.0123 memory: 17007 grad_norm: 7.4254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0720 loss: 2.0720 2022/07/28 06:04:14 - mmengine - INFO - Epoch(train) [88][2420/3757] lr: 5.2617e-03 eta: 1 day, 14:16:46 time: 0.3954 data_time: 0.0161 memory: 17007 grad_norm: 7.3848 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2140 loss: 2.2140 2022/07/28 06:04:22 - mmengine - INFO - Epoch(train) [88][2440/3757] lr: 5.2617e-03 eta: 1 day, 14:16:38 time: 0.4083 data_time: 0.0139 memory: 17007 grad_norm: 7.0098 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2037 loss: 2.2037 2022/07/28 06:04:30 - mmengine - INFO - Epoch(train) [88][2460/3757] lr: 5.2617e-03 eta: 1 day, 14:16:30 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 7.1040 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6845 loss: 1.6845 2022/07/28 06:04:38 - mmengine - INFO - Epoch(train) [88][2480/3757] lr: 5.2617e-03 eta: 1 day, 14:16:22 time: 0.4081 data_time: 0.0136 memory: 17007 grad_norm: 7.2056 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9042 loss: 1.9042 2022/07/28 06:04:46 - mmengine - INFO - Epoch(train) [88][2500/3757] lr: 5.2617e-03 eta: 1 day, 14:16:15 time: 0.3956 data_time: 0.0158 memory: 17007 grad_norm: 6.8851 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7328 loss: 1.7328 2022/07/28 06:04:54 - mmengine - INFO - Epoch(train) [88][2520/3757] lr: 5.2617e-03 eta: 1 day, 14:16:06 time: 0.3920 data_time: 0.0122 memory: 17007 grad_norm: 7.4118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4644 loss: 1.4644 2022/07/28 06:05:02 - mmengine - INFO - Epoch(train) [88][2540/3757] lr: 5.2617e-03 eta: 1 day, 14:15:58 time: 0.3952 data_time: 0.0168 memory: 17007 grad_norm: 7.3983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9939 loss: 1.9939 2022/07/28 06:05:10 - mmengine - INFO - Epoch(train) [88][2560/3757] lr: 5.2617e-03 eta: 1 day, 14:15:50 time: 0.3943 data_time: 0.0145 memory: 17007 grad_norm: 7.2210 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2229 loss: 2.2229 2022/07/28 06:05:18 - mmengine - INFO - Epoch(train) [88][2580/3757] lr: 5.2617e-03 eta: 1 day, 14:15:43 time: 0.4192 data_time: 0.0161 memory: 17007 grad_norm: 7.1717 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1190 loss: 2.1190 2022/07/28 06:05:26 - mmengine - INFO - Epoch(train) [88][2600/3757] lr: 5.2617e-03 eta: 1 day, 14:15:35 time: 0.3925 data_time: 0.0133 memory: 17007 grad_norm: 7.3344 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9456 loss: 1.9456 2022/07/28 06:05:34 - mmengine - INFO - Epoch(train) [88][2620/3757] lr: 5.2617e-03 eta: 1 day, 14:15:27 time: 0.3949 data_time: 0.0152 memory: 17007 grad_norm: 7.3466 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9328 loss: 1.9328 2022/07/28 06:05:42 - mmengine - INFO - Epoch(train) [88][2640/3757] lr: 5.2617e-03 eta: 1 day, 14:15:19 time: 0.3962 data_time: 0.0145 memory: 17007 grad_norm: 7.2232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8223 loss: 1.8223 2022/07/28 06:05:50 - mmengine - INFO - Epoch(train) [88][2660/3757] lr: 5.2617e-03 eta: 1 day, 14:15:11 time: 0.3950 data_time: 0.0160 memory: 17007 grad_norm: 7.4850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0446 loss: 2.0446 2022/07/28 06:05:58 - mmengine - INFO - Epoch(train) [88][2680/3757] lr: 5.2617e-03 eta: 1 day, 14:15:03 time: 0.3945 data_time: 0.0132 memory: 17007 grad_norm: 7.3103 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2495 loss: 2.2495 2022/07/28 06:06:06 - mmengine - INFO - Epoch(train) [88][2700/3757] lr: 5.2617e-03 eta: 1 day, 14:14:55 time: 0.3947 data_time: 0.0168 memory: 17007 grad_norm: 7.1715 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.8063 loss: 1.8063 2022/07/28 06:06:14 - mmengine - INFO - Epoch(train) [88][2720/3757] lr: 5.2617e-03 eta: 1 day, 14:14:47 time: 0.3918 data_time: 0.0110 memory: 17007 grad_norm: 7.2272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9328 loss: 1.9328 2022/07/28 06:06:22 - mmengine - INFO - Epoch(train) [88][2740/3757] lr: 5.2617e-03 eta: 1 day, 14:14:39 time: 0.3949 data_time: 0.0163 memory: 17007 grad_norm: 7.2766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8270 loss: 1.8270 2022/07/28 06:06:29 - mmengine - INFO - Epoch(train) [88][2760/3757] lr: 5.2617e-03 eta: 1 day, 14:14:31 time: 0.3931 data_time: 0.0133 memory: 17007 grad_norm: 7.4667 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0305 loss: 2.0305 2022/07/28 06:06:38 - mmengine - INFO - Epoch(train) [88][2780/3757] lr: 5.2617e-03 eta: 1 day, 14:14:23 time: 0.4012 data_time: 0.0160 memory: 17007 grad_norm: 7.9317 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1797 loss: 2.1797 2022/07/28 06:06:45 - mmengine - INFO - Epoch(train) [88][2800/3757] lr: 5.2617e-03 eta: 1 day, 14:14:15 time: 0.3933 data_time: 0.0120 memory: 17007 grad_norm: 8.1705 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1049 loss: 2.1049 2022/07/28 06:06:53 - mmengine - INFO - Epoch(train) [88][2820/3757] lr: 5.2617e-03 eta: 1 day, 14:14:07 time: 0.3989 data_time: 0.0147 memory: 17007 grad_norm: 7.4922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2450 loss: 2.2450 2022/07/28 06:07:01 - mmengine - INFO - Epoch(train) [88][2840/3757] lr: 5.2617e-03 eta: 1 day, 14:13:59 time: 0.3964 data_time: 0.0126 memory: 17007 grad_norm: 7.1478 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9148 loss: 1.9148 2022/07/28 06:07:09 - mmengine - INFO - Epoch(train) [88][2860/3757] lr: 5.2617e-03 eta: 1 day, 14:13:51 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 7.3220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3590 loss: 2.3590 2022/07/28 06:07:17 - mmengine - INFO - Epoch(train) [88][2880/3757] lr: 5.2617e-03 eta: 1 day, 14:13:43 time: 0.3927 data_time: 0.0132 memory: 17007 grad_norm: 7.2078 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8474 loss: 1.8474 2022/07/28 06:07:25 - mmengine - INFO - Epoch(train) [88][2900/3757] lr: 5.2617e-03 eta: 1 day, 14:13:35 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 7.6031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0058 loss: 2.0058 2022/07/28 06:07:33 - mmengine - INFO - Epoch(train) [88][2920/3757] lr: 5.2617e-03 eta: 1 day, 14:13:27 time: 0.3967 data_time: 0.0134 memory: 17007 grad_norm: 7.3783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9834 loss: 1.9834 2022/07/28 06:07:41 - mmengine - INFO - Epoch(train) [88][2940/3757] lr: 5.2617e-03 eta: 1 day, 14:13:19 time: 0.3928 data_time: 0.0152 memory: 17007 grad_norm: 7.3508 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2404 loss: 2.2404 2022/07/28 06:07:49 - mmengine - INFO - Epoch(train) [88][2960/3757] lr: 5.2617e-03 eta: 1 day, 14:13:11 time: 0.4000 data_time: 0.0144 memory: 17007 grad_norm: 7.2343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8034 loss: 1.8034 2022/07/28 06:07:57 - mmengine - INFO - Epoch(train) [88][2980/3757] lr: 5.2617e-03 eta: 1 day, 14:13:03 time: 0.3942 data_time: 0.0159 memory: 17007 grad_norm: 7.1756 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8176 loss: 1.8176 2022/07/28 06:08:05 - mmengine - INFO - Epoch(train) [88][3000/3757] lr: 5.2617e-03 eta: 1 day, 14:12:55 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 7.3946 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8535 loss: 1.8535 2022/07/28 06:08:13 - mmengine - INFO - Epoch(train) [88][3020/3757] lr: 5.2617e-03 eta: 1 day, 14:12:47 time: 0.4001 data_time: 0.0167 memory: 17007 grad_norm: 7.2994 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2652 loss: 2.2652 2022/07/28 06:08:20 - mmengine - INFO - Epoch(train) [88][3040/3757] lr: 5.2617e-03 eta: 1 day, 14:12:39 time: 0.3924 data_time: 0.0136 memory: 17007 grad_norm: 7.3896 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2884 loss: 2.2884 2022/07/28 06:08:28 - mmengine - INFO - Epoch(train) [88][3060/3757] lr: 5.2617e-03 eta: 1 day, 14:12:31 time: 0.3966 data_time: 0.0188 memory: 17007 grad_norm: 7.1592 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1460 loss: 2.1460 2022/07/28 06:08:36 - mmengine - INFO - Epoch(train) [88][3080/3757] lr: 5.2617e-03 eta: 1 day, 14:12:23 time: 0.3923 data_time: 0.0142 memory: 17007 grad_norm: 7.0701 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0378 loss: 2.0378 2022/07/28 06:08:44 - mmengine - INFO - Epoch(train) [88][3100/3757] lr: 5.2617e-03 eta: 1 day, 14:12:16 time: 0.4063 data_time: 0.0154 memory: 17007 grad_norm: 7.1131 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2887 loss: 2.2887 2022/07/28 06:08:52 - mmengine - INFO - Epoch(train) [88][3120/3757] lr: 5.2617e-03 eta: 1 day, 14:12:08 time: 0.3942 data_time: 0.0139 memory: 17007 grad_norm: 6.8487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8639 loss: 1.8639 2022/07/28 06:09:00 - mmengine - INFO - Epoch(train) [88][3140/3757] lr: 5.2617e-03 eta: 1 day, 14:12:00 time: 0.3976 data_time: 0.0160 memory: 17007 grad_norm: 7.3530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0047 loss: 2.0047 2022/07/28 06:09:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:09:08 - mmengine - INFO - Epoch(train) [88][3160/3757] lr: 5.2617e-03 eta: 1 day, 14:11:52 time: 0.3957 data_time: 0.0139 memory: 17007 grad_norm: 7.1969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8486 loss: 1.8486 2022/07/28 06:09:16 - mmengine - INFO - Epoch(train) [88][3180/3757] lr: 5.2617e-03 eta: 1 day, 14:11:44 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.4212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8407 loss: 1.8407 2022/07/28 06:09:24 - mmengine - INFO - Epoch(train) [88][3200/3757] lr: 5.2617e-03 eta: 1 day, 14:11:36 time: 0.4002 data_time: 0.0152 memory: 17007 grad_norm: 7.2211 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7257 loss: 1.7257 2022/07/28 06:09:32 - mmengine - INFO - Epoch(train) [88][3220/3757] lr: 5.2617e-03 eta: 1 day, 14:11:28 time: 0.3970 data_time: 0.0165 memory: 17007 grad_norm: 7.2134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8940 loss: 1.8940 2022/07/28 06:09:40 - mmengine - INFO - Epoch(train) [88][3240/3757] lr: 5.2617e-03 eta: 1 day, 14:11:20 time: 0.3959 data_time: 0.0153 memory: 17007 grad_norm: 7.0095 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8963 loss: 1.8963 2022/07/28 06:09:48 - mmengine - INFO - Epoch(train) [88][3260/3757] lr: 5.2617e-03 eta: 1 day, 14:11:12 time: 0.3971 data_time: 0.0168 memory: 17007 grad_norm: 6.8920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1828 loss: 2.1828 2022/07/28 06:09:56 - mmengine - INFO - Epoch(train) [88][3280/3757] lr: 5.2617e-03 eta: 1 day, 14:11:04 time: 0.3937 data_time: 0.0151 memory: 17007 grad_norm: 7.3961 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1008 loss: 2.1008 2022/07/28 06:10:04 - mmengine - INFO - Epoch(train) [88][3300/3757] lr: 5.2617e-03 eta: 1 day, 14:10:56 time: 0.3953 data_time: 0.0155 memory: 17007 grad_norm: 7.2063 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1919 loss: 2.1919 2022/07/28 06:10:12 - mmengine - INFO - Epoch(train) [88][3320/3757] lr: 5.2617e-03 eta: 1 day, 14:10:48 time: 0.3955 data_time: 0.0143 memory: 17007 grad_norm: 7.1483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9060 loss: 1.9060 2022/07/28 06:10:20 - mmengine - INFO - Epoch(train) [88][3340/3757] lr: 5.2617e-03 eta: 1 day, 14:10:40 time: 0.3998 data_time: 0.0158 memory: 17007 grad_norm: 7.5870 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0429 loss: 2.0429 2022/07/28 06:10:28 - mmengine - INFO - Epoch(train) [88][3360/3757] lr: 5.2617e-03 eta: 1 day, 14:10:32 time: 0.3932 data_time: 0.0133 memory: 17007 grad_norm: 7.2111 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.6287 loss: 1.6287 2022/07/28 06:10:35 - mmengine - INFO - Epoch(train) [88][3380/3757] lr: 5.2617e-03 eta: 1 day, 14:10:24 time: 0.3945 data_time: 0.0168 memory: 17007 grad_norm: 7.4308 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0350 loss: 2.0350 2022/07/28 06:10:43 - mmengine - INFO - Epoch(train) [88][3400/3757] lr: 5.2617e-03 eta: 1 day, 14:10:16 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 7.3955 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3220 loss: 2.3220 2022/07/28 06:10:51 - mmengine - INFO - Epoch(train) [88][3420/3757] lr: 5.2617e-03 eta: 1 day, 14:10:08 time: 0.3980 data_time: 0.0154 memory: 17007 grad_norm: 7.2522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3644 loss: 2.3644 2022/07/28 06:10:59 - mmengine - INFO - Epoch(train) [88][3440/3757] lr: 5.2617e-03 eta: 1 day, 14:10:00 time: 0.3926 data_time: 0.0123 memory: 17007 grad_norm: 7.2445 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9561 loss: 1.9561 2022/07/28 06:11:07 - mmengine - INFO - Epoch(train) [88][3460/3757] lr: 5.2617e-03 eta: 1 day, 14:09:52 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 7.2801 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8735 loss: 1.8735 2022/07/28 06:11:15 - mmengine - INFO - Epoch(train) [88][3480/3757] lr: 5.2617e-03 eta: 1 day, 14:09:44 time: 0.3960 data_time: 0.0133 memory: 17007 grad_norm: 7.3531 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1809 loss: 2.1809 2022/07/28 06:11:23 - mmengine - INFO - Epoch(train) [88][3500/3757] lr: 5.2617e-03 eta: 1 day, 14:09:36 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 7.5521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1150 loss: 2.1150 2022/07/28 06:11:31 - mmengine - INFO - Epoch(train) [88][3520/3757] lr: 5.2617e-03 eta: 1 day, 14:09:28 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 6.9427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6823 loss: 1.6823 2022/07/28 06:11:39 - mmengine - INFO - Epoch(train) [88][3540/3757] lr: 5.2617e-03 eta: 1 day, 14:09:20 time: 0.3948 data_time: 0.0171 memory: 17007 grad_norm: 7.0807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0172 loss: 2.0172 2022/07/28 06:11:47 - mmengine - INFO - Epoch(train) [88][3560/3757] lr: 5.2617e-03 eta: 1 day, 14:09:12 time: 0.3929 data_time: 0.0136 memory: 17007 grad_norm: 7.3265 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7967 loss: 1.7967 2022/07/28 06:11:55 - mmengine - INFO - Epoch(train) [88][3580/3757] lr: 5.2617e-03 eta: 1 day, 14:09:04 time: 0.4006 data_time: 0.0154 memory: 17007 grad_norm: 7.5335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7630 loss: 1.7630 2022/07/28 06:12:02 - mmengine - INFO - Epoch(train) [88][3600/3757] lr: 5.2617e-03 eta: 1 day, 14:08:56 time: 0.3932 data_time: 0.0135 memory: 17007 grad_norm: 7.4722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7902 loss: 1.7902 2022/07/28 06:12:11 - mmengine - INFO - Epoch(train) [88][3620/3757] lr: 5.2617e-03 eta: 1 day, 14:08:48 time: 0.4013 data_time: 0.0159 memory: 17007 grad_norm: 7.3442 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0922 loss: 2.0922 2022/07/28 06:12:18 - mmengine - INFO - Epoch(train) [88][3640/3757] lr: 5.2617e-03 eta: 1 day, 14:08:40 time: 0.3931 data_time: 0.0128 memory: 17007 grad_norm: 7.1521 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2041 loss: 2.2041 2022/07/28 06:12:26 - mmengine - INFO - Epoch(train) [88][3660/3757] lr: 5.2617e-03 eta: 1 day, 14:08:32 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 7.3686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8669 loss: 1.8669 2022/07/28 06:12:34 - mmengine - INFO - Epoch(train) [88][3680/3757] lr: 5.2617e-03 eta: 1 day, 14:08:25 time: 0.4035 data_time: 0.0131 memory: 17007 grad_norm: 7.1303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0263 loss: 2.0263 2022/07/28 06:12:42 - mmengine - INFO - Epoch(train) [88][3700/3757] lr: 5.2617e-03 eta: 1 day, 14:08:17 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 7.2705 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2761 loss: 2.2761 2022/07/28 06:12:50 - mmengine - INFO - Epoch(train) [88][3720/3757] lr: 5.2617e-03 eta: 1 day, 14:08:09 time: 0.3956 data_time: 0.0146 memory: 17007 grad_norm: 7.3628 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2432 loss: 2.2432 2022/07/28 06:12:58 - mmengine - INFO - Epoch(train) [88][3740/3757] lr: 5.2617e-03 eta: 1 day, 14:08:01 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 7.2293 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8493 loss: 1.8493 2022/07/28 06:13:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:13:05 - mmengine - INFO - Epoch(train) [88][3757/3757] lr: 5.2617e-03 eta: 1 day, 14:08:01 time: 0.3894 data_time: 0.0139 memory: 17007 grad_norm: 7.5273 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.9580 loss: 1.9580 2022/07/28 06:13:05 - mmengine - INFO - Saving checkpoint at 88 epochs 2022/07/28 06:13:18 - mmengine - INFO - Epoch(train) [89][20/3757] lr: 5.1745e-03 eta: 1 day, 14:07:40 time: 0.4690 data_time: 0.0923 memory: 17007 grad_norm: 7.7609 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1668 loss: 2.1668 2022/07/28 06:13:26 - mmengine - INFO - Epoch(train) [89][40/3757] lr: 5.1745e-03 eta: 1 day, 14:07:33 time: 0.4066 data_time: 0.0155 memory: 17007 grad_norm: 7.3746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9114 loss: 1.9114 2022/07/28 06:13:44 - mmengine - INFO - Epoch(train) [89][60/3757] lr: 5.1745e-03 eta: 1 day, 14:07:36 time: 0.9372 data_time: 0.4421 memory: 17007 grad_norm: 7.3397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8467 loss: 1.8467 2022/07/28 06:13:52 - mmengine - INFO - Epoch(train) [89][80/3757] lr: 5.1745e-03 eta: 1 day, 14:07:28 time: 0.3948 data_time: 0.0138 memory: 17007 grad_norm: 7.4621 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9124 loss: 1.9124 2022/07/28 06:14:02 - mmengine - INFO - Epoch(train) [89][100/3757] lr: 5.1745e-03 eta: 1 day, 14:07:22 time: 0.4988 data_time: 0.0172 memory: 17007 grad_norm: 7.5091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6863 loss: 1.6863 2022/07/28 06:14:14 - mmengine - INFO - Epoch(train) [89][120/3757] lr: 5.1745e-03 eta: 1 day, 14:07:18 time: 0.5844 data_time: 0.1896 memory: 17007 grad_norm: 7.4227 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9138 loss: 1.9138 2022/07/28 06:14:25 - mmengine - INFO - Epoch(train) [89][140/3757] lr: 5.1745e-03 eta: 1 day, 14:07:13 time: 0.5274 data_time: 0.0167 memory: 17007 grad_norm: 7.2343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0531 loss: 2.0531 2022/07/28 06:14:32 - mmengine - INFO - Epoch(train) [89][160/3757] lr: 5.1745e-03 eta: 1 day, 14:07:05 time: 0.3954 data_time: 0.0179 memory: 17007 grad_norm: 7.6772 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1644 loss: 2.1644 2022/07/28 06:14:40 - mmengine - INFO - Epoch(train) [89][180/3757] lr: 5.1745e-03 eta: 1 day, 14:06:57 time: 0.3921 data_time: 0.0122 memory: 17007 grad_norm: 7.4961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9180 loss: 1.9180 2022/07/28 06:14:48 - mmengine - INFO - Epoch(train) [89][200/3757] lr: 5.1745e-03 eta: 1 day, 14:06:49 time: 0.3962 data_time: 0.0162 memory: 17007 grad_norm: 7.4429 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9882 loss: 1.9882 2022/07/28 06:14:56 - mmengine - INFO - Epoch(train) [89][220/3757] lr: 5.1745e-03 eta: 1 day, 14:06:41 time: 0.3929 data_time: 0.0139 memory: 17007 grad_norm: 7.2585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9385 loss: 1.9385 2022/07/28 06:15:04 - mmengine - INFO - Epoch(train) [89][240/3757] lr: 5.1745e-03 eta: 1 day, 14:06:33 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 7.4710 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1250 loss: 2.1250 2022/07/28 06:15:12 - mmengine - INFO - Epoch(train) [89][260/3757] lr: 5.1745e-03 eta: 1 day, 14:06:25 time: 0.3950 data_time: 0.0141 memory: 17007 grad_norm: 7.1613 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1525 loss: 2.1525 2022/07/28 06:15:20 - mmengine - INFO - Epoch(train) [89][280/3757] lr: 5.1745e-03 eta: 1 day, 14:06:17 time: 0.3985 data_time: 0.0156 memory: 17007 grad_norm: 7.4607 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9831 loss: 1.9831 2022/07/28 06:15:28 - mmengine - INFO - Epoch(train) [89][300/3757] lr: 5.1745e-03 eta: 1 day, 14:06:09 time: 0.3928 data_time: 0.0139 memory: 17007 grad_norm: 7.2434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9526 loss: 1.9526 2022/07/28 06:15:36 - mmengine - INFO - Epoch(train) [89][320/3757] lr: 5.1745e-03 eta: 1 day, 14:06:01 time: 0.3952 data_time: 0.0167 memory: 17007 grad_norm: 7.0001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7255 loss: 1.7255 2022/07/28 06:15:44 - mmengine - INFO - Epoch(train) [89][340/3757] lr: 5.1745e-03 eta: 1 day, 14:05:53 time: 0.3982 data_time: 0.0144 memory: 17007 grad_norm: 7.1366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1464 loss: 2.1464 2022/07/28 06:15:52 - mmengine - INFO - Epoch(train) [89][360/3757] lr: 5.1745e-03 eta: 1 day, 14:05:45 time: 0.3955 data_time: 0.0162 memory: 17007 grad_norm: 7.0648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0743 loss: 2.0743 2022/07/28 06:16:00 - mmengine - INFO - Epoch(train) [89][380/3757] lr: 5.1745e-03 eta: 1 day, 14:05:37 time: 0.3967 data_time: 0.0154 memory: 17007 grad_norm: 7.1677 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0522 loss: 2.0522 2022/07/28 06:16:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:16:07 - mmengine - INFO - Epoch(train) [89][400/3757] lr: 5.1745e-03 eta: 1 day, 14:05:29 time: 0.3931 data_time: 0.0161 memory: 17007 grad_norm: 7.4358 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2195 loss: 2.2195 2022/07/28 06:16:15 - mmengine - INFO - Epoch(train) [89][420/3757] lr: 5.1745e-03 eta: 1 day, 14:05:21 time: 0.3937 data_time: 0.0136 memory: 17007 grad_norm: 6.9479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1758 loss: 2.1758 2022/07/28 06:16:23 - mmengine - INFO - Epoch(train) [89][440/3757] lr: 5.1745e-03 eta: 1 day, 14:05:13 time: 0.3981 data_time: 0.0161 memory: 17007 grad_norm: 6.8827 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8744 loss: 1.8744 2022/07/28 06:16:31 - mmengine - INFO - Epoch(train) [89][460/3757] lr: 5.1745e-03 eta: 1 day, 14:05:05 time: 0.3921 data_time: 0.0138 memory: 17007 grad_norm: 7.1370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1052 loss: 2.1052 2022/07/28 06:16:39 - mmengine - INFO - Epoch(train) [89][480/3757] lr: 5.1745e-03 eta: 1 day, 14:04:57 time: 0.4145 data_time: 0.0159 memory: 17007 grad_norm: 7.1350 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7748 loss: 1.7748 2022/07/28 06:16:47 - mmengine - INFO - Epoch(train) [89][500/3757] lr: 5.1745e-03 eta: 1 day, 14:04:49 time: 0.3930 data_time: 0.0136 memory: 17007 grad_norm: 7.2247 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7423 loss: 1.7423 2022/07/28 06:16:55 - mmengine - INFO - Epoch(train) [89][520/3757] lr: 5.1745e-03 eta: 1 day, 14:04:41 time: 0.3960 data_time: 0.0153 memory: 17007 grad_norm: 7.4827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8992 loss: 1.8992 2022/07/28 06:17:03 - mmengine - INFO - Epoch(train) [89][540/3757] lr: 5.1745e-03 eta: 1 day, 14:04:34 time: 0.4102 data_time: 0.0135 memory: 17007 grad_norm: 7.0135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9655 loss: 1.9655 2022/07/28 06:17:11 - mmengine - INFO - Epoch(train) [89][560/3757] lr: 5.1745e-03 eta: 1 day, 14:04:26 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 7.5201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7764 loss: 1.7764 2022/07/28 06:17:19 - mmengine - INFO - Epoch(train) [89][580/3757] lr: 5.1745e-03 eta: 1 day, 14:04:18 time: 0.3955 data_time: 0.0135 memory: 17007 grad_norm: 7.3881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0290 loss: 2.0290 2022/07/28 06:17:27 - mmengine - INFO - Epoch(train) [89][600/3757] lr: 5.1745e-03 eta: 1 day, 14:04:10 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 7.2094 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0548 loss: 2.0548 2022/07/28 06:17:35 - mmengine - INFO - Epoch(train) [89][620/3757] lr: 5.1745e-03 eta: 1 day, 14:04:02 time: 0.3945 data_time: 0.0134 memory: 17007 grad_norm: 7.1658 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9069 loss: 1.9069 2022/07/28 06:17:44 - mmengine - INFO - Epoch(train) [89][640/3757] lr: 5.1745e-03 eta: 1 day, 14:03:54 time: 0.4234 data_time: 0.0154 memory: 17007 grad_norm: 7.4772 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2375 loss: 2.2375 2022/07/28 06:17:51 - mmengine - INFO - Epoch(train) [89][660/3757] lr: 5.1745e-03 eta: 1 day, 14:03:46 time: 0.3966 data_time: 0.0160 memory: 17007 grad_norm: 6.9856 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9756 loss: 1.9756 2022/07/28 06:18:00 - mmengine - INFO - Epoch(train) [89][680/3757] lr: 5.1745e-03 eta: 1 day, 14:03:39 time: 0.4126 data_time: 0.0163 memory: 17007 grad_norm: 7.2668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9723 loss: 1.9723 2022/07/28 06:18:08 - mmengine - INFO - Epoch(train) [89][700/3757] lr: 5.1745e-03 eta: 1 day, 14:03:31 time: 0.3933 data_time: 0.0145 memory: 17007 grad_norm: 7.4699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7782 loss: 1.7782 2022/07/28 06:18:16 - mmengine - INFO - Epoch(train) [89][720/3757] lr: 5.1745e-03 eta: 1 day, 14:03:23 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 7.4558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8633 loss: 1.8633 2022/07/28 06:18:24 - mmengine - INFO - Epoch(train) [89][740/3757] lr: 5.1745e-03 eta: 1 day, 14:03:15 time: 0.4114 data_time: 0.0127 memory: 17007 grad_norm: 7.3581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0932 loss: 2.0932 2022/07/28 06:18:32 - mmengine - INFO - Epoch(train) [89][760/3757] lr: 5.1745e-03 eta: 1 day, 14:03:07 time: 0.3997 data_time: 0.0189 memory: 17007 grad_norm: 7.0519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9234 loss: 1.9234 2022/07/28 06:18:40 - mmengine - INFO - Epoch(train) [89][780/3757] lr: 5.1745e-03 eta: 1 day, 14:02:59 time: 0.4019 data_time: 0.0132 memory: 17007 grad_norm: 6.8904 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9323 loss: 1.9323 2022/07/28 06:18:48 - mmengine - INFO - Epoch(train) [89][800/3757] lr: 5.1745e-03 eta: 1 day, 14:02:51 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 7.1521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7503 loss: 1.7503 2022/07/28 06:18:56 - mmengine - INFO - Epoch(train) [89][820/3757] lr: 5.1745e-03 eta: 1 day, 14:02:43 time: 0.3947 data_time: 0.0136 memory: 17007 grad_norm: 7.2501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7937 loss: 1.7937 2022/07/28 06:19:04 - mmengine - INFO - Epoch(train) [89][840/3757] lr: 5.1745e-03 eta: 1 day, 14:02:36 time: 0.4380 data_time: 0.0172 memory: 17007 grad_norm: 7.3743 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1858 loss: 2.1858 2022/07/28 06:19:12 - mmengine - INFO - Epoch(train) [89][860/3757] lr: 5.1745e-03 eta: 1 day, 14:02:28 time: 0.3953 data_time: 0.0132 memory: 17007 grad_norm: 7.1611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8783 loss: 1.8783 2022/07/28 06:19:21 - mmengine - INFO - Epoch(train) [89][880/3757] lr: 5.1745e-03 eta: 1 day, 14:02:21 time: 0.4218 data_time: 0.0162 memory: 17007 grad_norm: 7.3656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9589 loss: 1.9589 2022/07/28 06:19:29 - mmengine - INFO - Epoch(train) [89][900/3757] lr: 5.1745e-03 eta: 1 day, 14:02:13 time: 0.3929 data_time: 0.0132 memory: 17007 grad_norm: 7.1976 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8098 loss: 1.8098 2022/07/28 06:19:37 - mmengine - INFO - Epoch(train) [89][920/3757] lr: 5.1745e-03 eta: 1 day, 14:02:05 time: 0.3951 data_time: 0.0165 memory: 17007 grad_norm: 7.0955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7255 loss: 1.7255 2022/07/28 06:19:45 - mmengine - INFO - Epoch(train) [89][940/3757] lr: 5.1745e-03 eta: 1 day, 14:01:57 time: 0.4218 data_time: 0.0146 memory: 17007 grad_norm: 7.1831 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6747 loss: 1.6747 2022/07/28 06:19:53 - mmengine - INFO - Epoch(train) [89][960/3757] lr: 5.1745e-03 eta: 1 day, 14:01:50 time: 0.4031 data_time: 0.0160 memory: 17007 grad_norm: 7.4611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3491 loss: 2.3491 2022/07/28 06:20:01 - mmengine - INFO - Epoch(train) [89][980/3757] lr: 5.1745e-03 eta: 1 day, 14:01:42 time: 0.3914 data_time: 0.0131 memory: 17007 grad_norm: 7.4853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9875 loss: 1.9875 2022/07/28 06:20:09 - mmengine - INFO - Epoch(train) [89][1000/3757] lr: 5.1745e-03 eta: 1 day, 14:01:34 time: 0.3988 data_time: 0.0181 memory: 17007 grad_norm: 7.3597 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7836 loss: 1.7836 2022/07/28 06:20:17 - mmengine - INFO - Epoch(train) [89][1020/3757] lr: 5.1745e-03 eta: 1 day, 14:01:26 time: 0.3925 data_time: 0.0128 memory: 17007 grad_norm: 7.3149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0926 loss: 2.0926 2022/07/28 06:20:25 - mmengine - INFO - Epoch(train) [89][1040/3757] lr: 5.1745e-03 eta: 1 day, 14:01:18 time: 0.3989 data_time: 0.0158 memory: 17007 grad_norm: 7.3862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9193 loss: 1.9193 2022/07/28 06:20:33 - mmengine - INFO - Epoch(train) [89][1060/3757] lr: 5.1745e-03 eta: 1 day, 14:01:10 time: 0.3951 data_time: 0.0134 memory: 17007 grad_norm: 7.4975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9289 loss: 1.9289 2022/07/28 06:20:41 - mmengine - INFO - Epoch(train) [89][1080/3757] lr: 5.1745e-03 eta: 1 day, 14:01:02 time: 0.4009 data_time: 0.0158 memory: 17007 grad_norm: 7.2907 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1777 loss: 2.1777 2022/07/28 06:20:49 - mmengine - INFO - Epoch(train) [89][1100/3757] lr: 5.1745e-03 eta: 1 day, 14:00:54 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 7.3157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0068 loss: 2.0068 2022/07/28 06:20:56 - mmengine - INFO - Epoch(train) [89][1120/3757] lr: 5.1745e-03 eta: 1 day, 14:00:46 time: 0.3949 data_time: 0.0165 memory: 17007 grad_norm: 7.4504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8484 loss: 1.8484 2022/07/28 06:21:04 - mmengine - INFO - Epoch(train) [89][1140/3757] lr: 5.1745e-03 eta: 1 day, 14:00:38 time: 0.3969 data_time: 0.0129 memory: 17007 grad_norm: 7.5113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8560 loss: 1.8560 2022/07/28 06:21:12 - mmengine - INFO - Epoch(train) [89][1160/3757] lr: 5.1745e-03 eta: 1 day, 14:00:30 time: 0.3961 data_time: 0.0163 memory: 17007 grad_norm: 7.2370 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9627 loss: 1.9627 2022/07/28 06:21:20 - mmengine - INFO - Epoch(train) [89][1180/3757] lr: 5.1745e-03 eta: 1 day, 14:00:22 time: 0.3952 data_time: 0.0133 memory: 17007 grad_norm: 7.5068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0418 loss: 2.0418 2022/07/28 06:21:28 - mmengine - INFO - Epoch(train) [89][1200/3757] lr: 5.1745e-03 eta: 1 day, 14:00:14 time: 0.4018 data_time: 0.0172 memory: 17007 grad_norm: 7.7069 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8909 loss: 1.8909 2022/07/28 06:21:36 - mmengine - INFO - Epoch(train) [89][1220/3757] lr: 5.1745e-03 eta: 1 day, 14:00:06 time: 0.3922 data_time: 0.0137 memory: 17007 grad_norm: 7.3533 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7076 loss: 1.7076 2022/07/28 06:21:44 - mmengine - INFO - Epoch(train) [89][1240/3757] lr: 5.1745e-03 eta: 1 day, 13:59:58 time: 0.3995 data_time: 0.0158 memory: 17007 grad_norm: 7.5510 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1034 loss: 2.1034 2022/07/28 06:21:52 - mmengine - INFO - Epoch(train) [89][1260/3757] lr: 5.1745e-03 eta: 1 day, 13:59:50 time: 0.3919 data_time: 0.0133 memory: 17007 grad_norm: 7.4049 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9036 loss: 1.9036 2022/07/28 06:22:00 - mmengine - INFO - Epoch(train) [89][1280/3757] lr: 5.1745e-03 eta: 1 day, 13:59:42 time: 0.4032 data_time: 0.0162 memory: 17007 grad_norm: 7.3061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9252 loss: 1.9252 2022/07/28 06:22:08 - mmengine - INFO - Epoch(train) [89][1300/3757] lr: 5.1745e-03 eta: 1 day, 13:59:34 time: 0.3920 data_time: 0.0136 memory: 17007 grad_norm: 7.4660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1981 loss: 2.1981 2022/07/28 06:22:16 - mmengine - INFO - Epoch(train) [89][1320/3757] lr: 5.1745e-03 eta: 1 day, 13:59:26 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 7.3194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0509 loss: 2.0509 2022/07/28 06:22:24 - mmengine - INFO - Epoch(train) [89][1340/3757] lr: 5.1745e-03 eta: 1 day, 13:59:18 time: 0.3994 data_time: 0.0168 memory: 17007 grad_norm: 7.3779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0720 loss: 2.0720 2022/07/28 06:22:32 - mmengine - INFO - Epoch(train) [89][1360/3757] lr: 5.1745e-03 eta: 1 day, 13:59:10 time: 0.3940 data_time: 0.0163 memory: 17007 grad_norm: 7.1899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1416 loss: 2.1416 2022/07/28 06:22:40 - mmengine - INFO - Epoch(train) [89][1380/3757] lr: 5.1745e-03 eta: 1 day, 13:59:02 time: 0.4030 data_time: 0.0137 memory: 17007 grad_norm: 7.3903 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1567 loss: 2.1567 2022/07/28 06:22:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:22:48 - mmengine - INFO - Epoch(train) [89][1400/3757] lr: 5.1745e-03 eta: 1 day, 13:58:54 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 7.0785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1191 loss: 2.1191 2022/07/28 06:22:56 - mmengine - INFO - Epoch(train) [89][1420/3757] lr: 5.1745e-03 eta: 1 day, 13:58:46 time: 0.3936 data_time: 0.0139 memory: 17007 grad_norm: 7.2987 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1665 loss: 2.1665 2022/07/28 06:23:04 - mmengine - INFO - Epoch(train) [89][1440/3757] lr: 5.1745e-03 eta: 1 day, 13:58:39 time: 0.4006 data_time: 0.0155 memory: 17007 grad_norm: 7.4481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0223 loss: 2.0223 2022/07/28 06:23:11 - mmengine - INFO - Epoch(train) [89][1460/3757] lr: 5.1745e-03 eta: 1 day, 13:58:30 time: 0.3926 data_time: 0.0122 memory: 17007 grad_norm: 7.0683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8924 loss: 1.8924 2022/07/28 06:23:19 - mmengine - INFO - Epoch(train) [89][1480/3757] lr: 5.1745e-03 eta: 1 day, 13:58:23 time: 0.3964 data_time: 0.0162 memory: 17007 grad_norm: 7.3936 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4015 loss: 2.4015 2022/07/28 06:23:27 - mmengine - INFO - Epoch(train) [89][1500/3757] lr: 5.1745e-03 eta: 1 day, 13:58:14 time: 0.3921 data_time: 0.0143 memory: 17007 grad_norm: 8.1350 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0938 loss: 2.0938 2022/07/28 06:23:35 - mmengine - INFO - Epoch(train) [89][1520/3757] lr: 5.1745e-03 eta: 1 day, 13:58:06 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 7.7488 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3267 loss: 2.3267 2022/07/28 06:23:43 - mmengine - INFO - Epoch(train) [89][1540/3757] lr: 5.1745e-03 eta: 1 day, 13:57:58 time: 0.3951 data_time: 0.0143 memory: 17007 grad_norm: 7.6170 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1362 loss: 2.1362 2022/07/28 06:23:51 - mmengine - INFO - Epoch(train) [89][1560/3757] lr: 5.1745e-03 eta: 1 day, 13:57:50 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 7.1190 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0490 loss: 2.0490 2022/07/28 06:23:59 - mmengine - INFO - Epoch(train) [89][1580/3757] lr: 5.1745e-03 eta: 1 day, 13:57:42 time: 0.3931 data_time: 0.0129 memory: 17007 grad_norm: 7.3768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4992 loss: 1.4992 2022/07/28 06:24:07 - mmengine - INFO - Epoch(train) [89][1600/3757] lr: 5.1745e-03 eta: 1 day, 13:57:34 time: 0.3974 data_time: 0.0159 memory: 17007 grad_norm: 7.1982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8340 loss: 1.8340 2022/07/28 06:24:15 - mmengine - INFO - Epoch(train) [89][1620/3757] lr: 5.1745e-03 eta: 1 day, 13:57:26 time: 0.3932 data_time: 0.0138 memory: 17007 grad_norm: 7.1112 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1229 loss: 2.1229 2022/07/28 06:24:23 - mmengine - INFO - Epoch(train) [89][1640/3757] lr: 5.1745e-03 eta: 1 day, 13:57:19 time: 0.4159 data_time: 0.0166 memory: 17007 grad_norm: 7.1365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8278 loss: 1.8278 2022/07/28 06:24:31 - mmengine - INFO - Epoch(train) [89][1660/3757] lr: 5.1745e-03 eta: 1 day, 13:57:11 time: 0.3916 data_time: 0.0145 memory: 17007 grad_norm: 7.2842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0404 loss: 2.0404 2022/07/28 06:24:39 - mmengine - INFO - Epoch(train) [89][1680/3757] lr: 5.1745e-03 eta: 1 day, 13:57:03 time: 0.3928 data_time: 0.0149 memory: 17007 grad_norm: 7.4543 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0623 loss: 2.0623 2022/07/28 06:24:47 - mmengine - INFO - Epoch(train) [89][1700/3757] lr: 5.1745e-03 eta: 1 day, 13:56:55 time: 0.3954 data_time: 0.0148 memory: 17007 grad_norm: 7.4821 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1992 loss: 2.1992 2022/07/28 06:24:55 - mmengine - INFO - Epoch(train) [89][1720/3757] lr: 5.1745e-03 eta: 1 day, 13:56:47 time: 0.3953 data_time: 0.0159 memory: 17007 grad_norm: 7.6272 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2104 loss: 2.2104 2022/07/28 06:25:03 - mmengine - INFO - Epoch(train) [89][1740/3757] lr: 5.1745e-03 eta: 1 day, 13:56:39 time: 0.4189 data_time: 0.0145 memory: 17007 grad_norm: 7.2877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8947 loss: 1.8947 2022/07/28 06:25:11 - mmengine - INFO - Epoch(train) [89][1760/3757] lr: 5.1745e-03 eta: 1 day, 13:56:31 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 7.2108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0817 loss: 2.0817 2022/07/28 06:25:19 - mmengine - INFO - Epoch(train) [89][1780/3757] lr: 5.1745e-03 eta: 1 day, 13:56:23 time: 0.3931 data_time: 0.0124 memory: 17007 grad_norm: 7.2017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9718 loss: 1.9718 2022/07/28 06:25:27 - mmengine - INFO - Epoch(train) [89][1800/3757] lr: 5.1745e-03 eta: 1 day, 13:56:16 time: 0.4039 data_time: 0.0169 memory: 17007 grad_norm: 7.4781 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6176 loss: 1.6176 2022/07/28 06:25:35 - mmengine - INFO - Epoch(train) [89][1820/3757] lr: 5.1745e-03 eta: 1 day, 13:56:07 time: 0.3930 data_time: 0.0143 memory: 17007 grad_norm: 7.2307 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9652 loss: 1.9652 2022/07/28 06:25:43 - mmengine - INFO - Epoch(train) [89][1840/3757] lr: 5.1745e-03 eta: 1 day, 13:56:00 time: 0.4035 data_time: 0.0206 memory: 17007 grad_norm: 7.2483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7769 loss: 1.7769 2022/07/28 06:25:51 - mmengine - INFO - Epoch(train) [89][1860/3757] lr: 5.1745e-03 eta: 1 day, 13:55:52 time: 0.3921 data_time: 0.0146 memory: 17007 grad_norm: 7.4353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1641 loss: 2.1641 2022/07/28 06:25:58 - mmengine - INFO - Epoch(train) [89][1880/3757] lr: 5.1745e-03 eta: 1 day, 13:55:44 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 7.2303 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9959 loss: 1.9959 2022/07/28 06:26:06 - mmengine - INFO - Epoch(train) [89][1900/3757] lr: 5.1745e-03 eta: 1 day, 13:55:36 time: 0.3954 data_time: 0.0144 memory: 17007 grad_norm: 7.1978 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7697 loss: 1.7697 2022/07/28 06:26:14 - mmengine - INFO - Epoch(train) [89][1920/3757] lr: 5.1745e-03 eta: 1 day, 13:55:28 time: 0.3971 data_time: 0.0164 memory: 17007 grad_norm: 7.0750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1257 loss: 2.1257 2022/07/28 06:26:22 - mmengine - INFO - Epoch(train) [89][1940/3757] lr: 5.1745e-03 eta: 1 day, 13:55:20 time: 0.4032 data_time: 0.0139 memory: 17007 grad_norm: 7.3558 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9299 loss: 1.9299 2022/07/28 06:26:30 - mmengine - INFO - Epoch(train) [89][1960/3757] lr: 5.1745e-03 eta: 1 day, 13:55:12 time: 0.3932 data_time: 0.0159 memory: 17007 grad_norm: 7.3968 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2526 loss: 2.2526 2022/07/28 06:26:38 - mmengine - INFO - Epoch(train) [89][1980/3757] lr: 5.1745e-03 eta: 1 day, 13:55:04 time: 0.3921 data_time: 0.0130 memory: 17007 grad_norm: 7.6321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8316 loss: 1.8316 2022/07/28 06:26:46 - mmengine - INFO - Epoch(train) [89][2000/3757] lr: 5.1745e-03 eta: 1 day, 13:54:56 time: 0.4013 data_time: 0.0163 memory: 17007 grad_norm: 7.2662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0191 loss: 2.0191 2022/07/28 06:26:54 - mmengine - INFO - Epoch(train) [89][2020/3757] lr: 5.1745e-03 eta: 1 day, 13:54:48 time: 0.3941 data_time: 0.0142 memory: 17007 grad_norm: 7.1701 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8852 loss: 1.8852 2022/07/28 06:27:02 - mmengine - INFO - Epoch(train) [89][2040/3757] lr: 5.1745e-03 eta: 1 day, 13:54:40 time: 0.3993 data_time: 0.0165 memory: 17007 grad_norm: 7.4820 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1005 loss: 2.1005 2022/07/28 06:27:10 - mmengine - INFO - Epoch(train) [89][2060/3757] lr: 5.1745e-03 eta: 1 day, 13:54:32 time: 0.3938 data_time: 0.0124 memory: 17007 grad_norm: 7.2647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9470 loss: 1.9470 2022/07/28 06:27:18 - mmengine - INFO - Epoch(train) [89][2080/3757] lr: 5.1745e-03 eta: 1 day, 13:54:24 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 7.2133 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3190 loss: 2.3190 2022/07/28 06:27:26 - mmengine - INFO - Epoch(train) [89][2100/3757] lr: 5.1745e-03 eta: 1 day, 13:54:16 time: 0.3956 data_time: 0.0144 memory: 17007 grad_norm: 7.2223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6418 loss: 1.6418 2022/07/28 06:27:34 - mmengine - INFO - Epoch(train) [89][2120/3757] lr: 5.1745e-03 eta: 1 day, 13:54:08 time: 0.3962 data_time: 0.0173 memory: 17007 grad_norm: 7.5162 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9168 loss: 1.9168 2022/07/28 06:27:42 - mmengine - INFO - Epoch(train) [89][2140/3757] lr: 5.1745e-03 eta: 1 day, 13:54:00 time: 0.3987 data_time: 0.0154 memory: 17007 grad_norm: 7.3245 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9760 loss: 1.9760 2022/07/28 06:27:50 - mmengine - INFO - Epoch(train) [89][2160/3757] lr: 5.1745e-03 eta: 1 day, 13:53:52 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 7.1037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9900 loss: 1.9900 2022/07/28 06:27:57 - mmengine - INFO - Epoch(train) [89][2180/3757] lr: 5.1745e-03 eta: 1 day, 13:53:44 time: 0.3929 data_time: 0.0139 memory: 17007 grad_norm: 7.7814 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1079 loss: 2.1079 2022/07/28 06:28:05 - mmengine - INFO - Epoch(train) [89][2200/3757] lr: 5.1745e-03 eta: 1 day, 13:53:36 time: 0.3968 data_time: 0.0157 memory: 17007 grad_norm: 7.9723 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2642 loss: 2.2642 2022/07/28 06:28:13 - mmengine - INFO - Epoch(train) [89][2220/3757] lr: 5.1745e-03 eta: 1 day, 13:53:28 time: 0.3921 data_time: 0.0126 memory: 17007 grad_norm: 7.4540 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1504 loss: 2.1504 2022/07/28 06:28:21 - mmengine - INFO - Epoch(train) [89][2240/3757] lr: 5.1745e-03 eta: 1 day, 13:53:20 time: 0.4046 data_time: 0.0175 memory: 17007 grad_norm: 7.3467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0348 loss: 2.0348 2022/07/28 06:28:29 - mmengine - INFO - Epoch(train) [89][2260/3757] lr: 5.1745e-03 eta: 1 day, 13:53:12 time: 0.3926 data_time: 0.0129 memory: 17007 grad_norm: 7.9253 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0580 loss: 2.0580 2022/07/28 06:28:37 - mmengine - INFO - Epoch(train) [89][2280/3757] lr: 5.1745e-03 eta: 1 day, 13:53:04 time: 0.3942 data_time: 0.0148 memory: 17007 grad_norm: 7.3525 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0240 loss: 2.0240 2022/07/28 06:28:45 - mmengine - INFO - Epoch(train) [89][2300/3757] lr: 5.1745e-03 eta: 1 day, 13:52:56 time: 0.3961 data_time: 0.0155 memory: 17007 grad_norm: 7.3828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1437 loss: 2.1437 2022/07/28 06:28:53 - mmengine - INFO - Epoch(train) [89][2320/3757] lr: 5.1745e-03 eta: 1 day, 13:52:48 time: 0.3972 data_time: 0.0162 memory: 17007 grad_norm: 7.3548 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0047 loss: 2.0047 2022/07/28 06:29:01 - mmengine - INFO - Epoch(train) [89][2340/3757] lr: 5.1745e-03 eta: 1 day, 13:52:41 time: 0.4030 data_time: 0.0152 memory: 17007 grad_norm: 7.2734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0787 loss: 2.0787 2022/07/28 06:29:09 - mmengine - INFO - Epoch(train) [89][2360/3757] lr: 5.1745e-03 eta: 1 day, 13:52:33 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 7.4088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0055 loss: 2.0055 2022/07/28 06:29:17 - mmengine - INFO - Epoch(train) [89][2380/3757] lr: 5.1745e-03 eta: 1 day, 13:52:25 time: 0.3949 data_time: 0.0136 memory: 17007 grad_norm: 7.3030 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8548 loss: 1.8548 2022/07/28 06:29:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:29:25 - mmengine - INFO - Epoch(train) [89][2400/3757] lr: 5.1745e-03 eta: 1 day, 13:52:17 time: 0.4036 data_time: 0.0167 memory: 17007 grad_norm: 6.9080 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7162 loss: 1.7162 2022/07/28 06:29:33 - mmengine - INFO - Epoch(train) [89][2420/3757] lr: 5.1745e-03 eta: 1 day, 13:52:09 time: 0.4017 data_time: 0.0131 memory: 17007 grad_norm: 7.4841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1013 loss: 2.1013 2022/07/28 06:29:41 - mmengine - INFO - Epoch(train) [89][2440/3757] lr: 5.1745e-03 eta: 1 day, 13:52:01 time: 0.3999 data_time: 0.0164 memory: 17007 grad_norm: 7.4267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8138 loss: 1.8138 2022/07/28 06:29:49 - mmengine - INFO - Epoch(train) [89][2460/3757] lr: 5.1745e-03 eta: 1 day, 13:51:53 time: 0.3932 data_time: 0.0140 memory: 17007 grad_norm: 7.4489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1632 loss: 2.1632 2022/07/28 06:29:57 - mmengine - INFO - Epoch(train) [89][2480/3757] lr: 5.1745e-03 eta: 1 day, 13:51:45 time: 0.4101 data_time: 0.0161 memory: 17007 grad_norm: 7.8441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7319 loss: 1.7319 2022/07/28 06:30:05 - mmengine - INFO - Epoch(train) [89][2500/3757] lr: 5.1745e-03 eta: 1 day, 13:51:37 time: 0.3967 data_time: 0.0143 memory: 17007 grad_norm: 7.2781 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8938 loss: 1.8938 2022/07/28 06:30:13 - mmengine - INFO - Epoch(train) [89][2520/3757] lr: 5.1745e-03 eta: 1 day, 13:51:29 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 7.3914 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0822 loss: 2.0822 2022/07/28 06:30:21 - mmengine - INFO - Epoch(train) [89][2540/3757] lr: 5.1745e-03 eta: 1 day, 13:51:21 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 6.8806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8236 loss: 1.8236 2022/07/28 06:30:29 - mmengine - INFO - Epoch(train) [89][2560/3757] lr: 5.1745e-03 eta: 1 day, 13:51:13 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 7.0827 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0332 loss: 2.0332 2022/07/28 06:30:37 - mmengine - INFO - Epoch(train) [89][2580/3757] lr: 5.1745e-03 eta: 1 day, 13:51:05 time: 0.3961 data_time: 0.0141 memory: 17007 grad_norm: 7.3902 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1234 loss: 2.1234 2022/07/28 06:30:45 - mmengine - INFO - Epoch(train) [89][2600/3757] lr: 5.1745e-03 eta: 1 day, 13:50:57 time: 0.3987 data_time: 0.0170 memory: 17007 grad_norm: 7.3972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1047 loss: 2.1047 2022/07/28 06:30:53 - mmengine - INFO - Epoch(train) [89][2620/3757] lr: 5.1745e-03 eta: 1 day, 13:50:49 time: 0.3933 data_time: 0.0134 memory: 17007 grad_norm: 7.3679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0093 loss: 2.0093 2022/07/28 06:31:01 - mmengine - INFO - Epoch(train) [89][2640/3757] lr: 5.1745e-03 eta: 1 day, 13:50:42 time: 0.4117 data_time: 0.0163 memory: 17007 grad_norm: 7.1978 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8426 loss: 1.8426 2022/07/28 06:31:09 - mmengine - INFO - Epoch(train) [89][2660/3757] lr: 5.1745e-03 eta: 1 day, 13:50:34 time: 0.3933 data_time: 0.0135 memory: 17007 grad_norm: 7.4022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8885 loss: 1.8885 2022/07/28 06:31:17 - mmengine - INFO - Epoch(train) [89][2680/3757] lr: 5.1745e-03 eta: 1 day, 13:50:26 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 7.4508 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0331 loss: 2.0331 2022/07/28 06:31:24 - mmengine - INFO - Epoch(train) [89][2700/3757] lr: 5.1745e-03 eta: 1 day, 13:50:18 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 7.3795 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9094 loss: 1.9094 2022/07/28 06:31:32 - mmengine - INFO - Epoch(train) [89][2720/3757] lr: 5.1745e-03 eta: 1 day, 13:50:10 time: 0.3949 data_time: 0.0152 memory: 17007 grad_norm: 7.3366 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2393 loss: 2.2393 2022/07/28 06:31:40 - mmengine - INFO - Epoch(train) [89][2740/3757] lr: 5.1745e-03 eta: 1 day, 13:50:02 time: 0.4002 data_time: 0.0154 memory: 17007 grad_norm: 7.6181 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1715 loss: 2.1715 2022/07/28 06:31:48 - mmengine - INFO - Epoch(train) [89][2760/3757] lr: 5.1745e-03 eta: 1 day, 13:49:54 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 7.2374 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8322 loss: 1.8322 2022/07/28 06:31:56 - mmengine - INFO - Epoch(train) [89][2780/3757] lr: 5.1745e-03 eta: 1 day, 13:49:46 time: 0.3926 data_time: 0.0126 memory: 17007 grad_norm: 6.9394 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7925 loss: 1.7925 2022/07/28 06:32:04 - mmengine - INFO - Epoch(train) [89][2800/3757] lr: 5.1745e-03 eta: 1 day, 13:49:38 time: 0.3976 data_time: 0.0155 memory: 17007 grad_norm: 7.3476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0055 loss: 2.0055 2022/07/28 06:32:12 - mmengine - INFO - Epoch(train) [89][2820/3757] lr: 5.1745e-03 eta: 1 day, 13:49:30 time: 0.3930 data_time: 0.0134 memory: 17007 grad_norm: 7.4839 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8863 loss: 1.8863 2022/07/28 06:32:20 - mmengine - INFO - Epoch(train) [89][2840/3757] lr: 5.1745e-03 eta: 1 day, 13:49:22 time: 0.3988 data_time: 0.0161 memory: 17007 grad_norm: 7.2797 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9284 loss: 1.9284 2022/07/28 06:32:28 - mmengine - INFO - Epoch(train) [89][2860/3757] lr: 5.1745e-03 eta: 1 day, 13:49:14 time: 0.3916 data_time: 0.0131 memory: 17007 grad_norm: 7.2543 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0676 loss: 2.0676 2022/07/28 06:32:36 - mmengine - INFO - Epoch(train) [89][2880/3757] lr: 5.1745e-03 eta: 1 day, 13:49:06 time: 0.3970 data_time: 0.0170 memory: 17007 grad_norm: 7.5565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7666 loss: 1.7666 2022/07/28 06:32:44 - mmengine - INFO - Epoch(train) [89][2900/3757] lr: 5.1745e-03 eta: 1 day, 13:48:58 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 7.8849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0017 loss: 2.0017 2022/07/28 06:32:52 - mmengine - INFO - Epoch(train) [89][2920/3757] lr: 5.1745e-03 eta: 1 day, 13:48:50 time: 0.3962 data_time: 0.0168 memory: 17007 grad_norm: 7.4135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8912 loss: 1.8912 2022/07/28 06:33:00 - mmengine - INFO - Epoch(train) [89][2940/3757] lr: 5.1745e-03 eta: 1 day, 13:48:42 time: 0.3931 data_time: 0.0137 memory: 17007 grad_norm: 7.4212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7768 loss: 1.7768 2022/07/28 06:33:07 - mmengine - INFO - Epoch(train) [89][2960/3757] lr: 5.1745e-03 eta: 1 day, 13:48:34 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 7.1840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7509 loss: 1.7509 2022/07/28 06:33:15 - mmengine - INFO - Epoch(train) [89][2980/3757] lr: 5.1745e-03 eta: 1 day, 13:48:26 time: 0.4002 data_time: 0.0155 memory: 17007 grad_norm: 7.4592 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1286 loss: 2.1286 2022/07/28 06:33:23 - mmengine - INFO - Epoch(train) [89][3000/3757] lr: 5.1745e-03 eta: 1 day, 13:48:18 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 7.2997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1397 loss: 2.1397 2022/07/28 06:33:31 - mmengine - INFO - Epoch(train) [89][3020/3757] lr: 5.1745e-03 eta: 1 day, 13:48:10 time: 0.3957 data_time: 0.0147 memory: 17007 grad_norm: 7.3932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9715 loss: 1.9715 2022/07/28 06:33:39 - mmengine - INFO - Epoch(train) [89][3040/3757] lr: 5.1745e-03 eta: 1 day, 13:48:02 time: 0.3925 data_time: 0.0158 memory: 17007 grad_norm: 7.3317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9815 loss: 1.9815 2022/07/28 06:33:47 - mmengine - INFO - Epoch(train) [89][3060/3757] lr: 5.1745e-03 eta: 1 day, 13:47:54 time: 0.3953 data_time: 0.0142 memory: 17007 grad_norm: 7.3548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8929 loss: 1.8929 2022/07/28 06:33:55 - mmengine - INFO - Epoch(train) [89][3080/3757] lr: 5.1745e-03 eta: 1 day, 13:47:46 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 7.2725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8762 loss: 1.8762 2022/07/28 06:34:03 - mmengine - INFO - Epoch(train) [89][3100/3757] lr: 5.1745e-03 eta: 1 day, 13:47:38 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 7.2977 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5975 loss: 1.5975 2022/07/28 06:34:11 - mmengine - INFO - Epoch(train) [89][3120/3757] lr: 5.1745e-03 eta: 1 day, 13:47:31 time: 0.4148 data_time: 0.0158 memory: 17007 grad_norm: 7.4142 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7477 loss: 1.7477 2022/07/28 06:34:19 - mmengine - INFO - Epoch(train) [89][3140/3757] lr: 5.1745e-03 eta: 1 day, 13:47:23 time: 0.3932 data_time: 0.0144 memory: 17007 grad_norm: 7.2148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6515 loss: 1.6515 2022/07/28 06:34:27 - mmengine - INFO - Epoch(train) [89][3160/3757] lr: 5.1745e-03 eta: 1 day, 13:47:15 time: 0.3943 data_time: 0.0154 memory: 17007 grad_norm: 7.4872 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2491 loss: 2.2491 2022/07/28 06:34:35 - mmengine - INFO - Epoch(train) [89][3180/3757] lr: 5.1745e-03 eta: 1 day, 13:47:07 time: 0.3944 data_time: 0.0132 memory: 17007 grad_norm: 7.3675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0789 loss: 2.0789 2022/07/28 06:34:43 - mmengine - INFO - Epoch(train) [89][3200/3757] lr: 5.1745e-03 eta: 1 day, 13:46:59 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 7.5303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9257 loss: 1.9257 2022/07/28 06:34:51 - mmengine - INFO - Epoch(train) [89][3220/3757] lr: 5.1745e-03 eta: 1 day, 13:46:51 time: 0.4191 data_time: 0.0137 memory: 17007 grad_norm: 7.4578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8803 loss: 1.8803 2022/07/28 06:34:59 - mmengine - INFO - Epoch(train) [89][3240/3757] lr: 5.1745e-03 eta: 1 day, 13:46:43 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 7.2625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8472 loss: 1.8472 2022/07/28 06:35:07 - mmengine - INFO - Epoch(train) [89][3260/3757] lr: 5.1745e-03 eta: 1 day, 13:46:35 time: 0.3928 data_time: 0.0137 memory: 17007 grad_norm: 7.3091 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2333 loss: 2.2333 2022/07/28 06:35:15 - mmengine - INFO - Epoch(train) [89][3280/3757] lr: 5.1745e-03 eta: 1 day, 13:46:27 time: 0.4166 data_time: 0.0164 memory: 17007 grad_norm: 7.4150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7248 loss: 1.7248 2022/07/28 06:35:23 - mmengine - INFO - Epoch(train) [89][3300/3757] lr: 5.1745e-03 eta: 1 day, 13:46:20 time: 0.4039 data_time: 0.0153 memory: 17007 grad_norm: 7.1333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9809 loss: 1.9809 2022/07/28 06:35:31 - mmengine - INFO - Epoch(train) [89][3320/3757] lr: 5.1745e-03 eta: 1 day, 13:46:12 time: 0.3972 data_time: 0.0175 memory: 17007 grad_norm: 7.6772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2779 loss: 2.2779 2022/07/28 06:35:39 - mmengine - INFO - Epoch(train) [89][3340/3757] lr: 5.1745e-03 eta: 1 day, 13:46:04 time: 0.3918 data_time: 0.0148 memory: 17007 grad_norm: 7.2808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/07/28 06:35:47 - mmengine - INFO - Epoch(train) [89][3360/3757] lr: 5.1745e-03 eta: 1 day, 13:45:56 time: 0.3970 data_time: 0.0154 memory: 17007 grad_norm: 7.4615 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0992 loss: 2.0992 2022/07/28 06:35:55 - mmengine - INFO - Epoch(train) [89][3380/3757] lr: 5.1745e-03 eta: 1 day, 13:45:48 time: 0.3945 data_time: 0.0145 memory: 17007 grad_norm: 7.3486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0348 loss: 2.0348 2022/07/28 06:35:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:36:03 - mmengine - INFO - Epoch(train) [89][3400/3757] lr: 5.1745e-03 eta: 1 day, 13:45:40 time: 0.3970 data_time: 0.0160 memory: 17007 grad_norm: 8.2093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7997 loss: 1.7997 2022/07/28 06:36:11 - mmengine - INFO - Epoch(train) [89][3420/3757] lr: 5.1745e-03 eta: 1 day, 13:45:32 time: 0.3958 data_time: 0.0149 memory: 17007 grad_norm: 7.2380 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9170 loss: 1.9170 2022/07/28 06:36:19 - mmengine - INFO - Epoch(train) [89][3440/3757] lr: 5.1745e-03 eta: 1 day, 13:45:24 time: 0.3951 data_time: 0.0159 memory: 17007 grad_norm: 7.5934 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8952 loss: 1.8952 2022/07/28 06:36:27 - mmengine - INFO - Epoch(train) [89][3460/3757] lr: 5.1745e-03 eta: 1 day, 13:45:16 time: 0.3943 data_time: 0.0142 memory: 17007 grad_norm: 7.3366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8269 loss: 1.8269 2022/07/28 06:36:34 - mmengine - INFO - Epoch(train) [89][3480/3757] lr: 5.1745e-03 eta: 1 day, 13:45:08 time: 0.3944 data_time: 0.0164 memory: 17007 grad_norm: 7.3240 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4561 loss: 2.4561 2022/07/28 06:36:42 - mmengine - INFO - Epoch(train) [89][3500/3757] lr: 5.1745e-03 eta: 1 day, 13:45:00 time: 0.3937 data_time: 0.0133 memory: 17007 grad_norm: 7.5300 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4248 loss: 2.4248 2022/07/28 06:36:50 - mmengine - INFO - Epoch(train) [89][3520/3757] lr: 5.1745e-03 eta: 1 day, 13:44:52 time: 0.3953 data_time: 0.0159 memory: 17007 grad_norm: 7.5362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3241 loss: 2.3241 2022/07/28 06:36:58 - mmengine - INFO - Epoch(train) [89][3540/3757] lr: 5.1745e-03 eta: 1 day, 13:44:44 time: 0.3939 data_time: 0.0131 memory: 17007 grad_norm: 7.0996 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8061 loss: 1.8061 2022/07/28 06:37:06 - mmengine - INFO - Epoch(train) [89][3560/3757] lr: 5.1745e-03 eta: 1 day, 13:44:36 time: 0.3969 data_time: 0.0155 memory: 17007 grad_norm: 7.3025 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1151 loss: 2.1151 2022/07/28 06:37:14 - mmengine - INFO - Epoch(train) [89][3580/3757] lr: 5.1745e-03 eta: 1 day, 13:44:28 time: 0.4035 data_time: 0.0155 memory: 17007 grad_norm: 7.3325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0456 loss: 2.0456 2022/07/28 06:37:22 - mmengine - INFO - Epoch(train) [89][3600/3757] lr: 5.1745e-03 eta: 1 day, 13:44:20 time: 0.3977 data_time: 0.0167 memory: 17007 grad_norm: 7.3881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0025 loss: 2.0025 2022/07/28 06:37:30 - mmengine - INFO - Epoch(train) [89][3620/3757] lr: 5.1745e-03 eta: 1 day, 13:44:12 time: 0.3948 data_time: 0.0136 memory: 17007 grad_norm: 6.9141 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3346 loss: 2.3346 2022/07/28 06:37:38 - mmengine - INFO - Epoch(train) [89][3640/3757] lr: 5.1745e-03 eta: 1 day, 13:44:04 time: 0.3959 data_time: 0.0161 memory: 17007 grad_norm: 7.2912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9472 loss: 1.9472 2022/07/28 06:37:46 - mmengine - INFO - Epoch(train) [89][3660/3757] lr: 5.1745e-03 eta: 1 day, 13:43:56 time: 0.3936 data_time: 0.0129 memory: 17007 grad_norm: 7.6568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1533 loss: 2.1533 2022/07/28 06:37:54 - mmengine - INFO - Epoch(train) [89][3680/3757] lr: 5.1745e-03 eta: 1 day, 13:43:48 time: 0.4007 data_time: 0.0166 memory: 17007 grad_norm: 7.4959 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7623 loss: 1.7623 2022/07/28 06:38:02 - mmengine - INFO - Epoch(train) [89][3700/3757] lr: 5.1745e-03 eta: 1 day, 13:43:40 time: 0.3932 data_time: 0.0129 memory: 17007 grad_norm: 7.2576 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2068 loss: 2.2068 2022/07/28 06:38:10 - mmengine - INFO - Epoch(train) [89][3720/3757] lr: 5.1745e-03 eta: 1 day, 13:43:32 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 7.4577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8549 loss: 1.8549 2022/07/28 06:38:18 - mmengine - INFO - Epoch(train) [89][3740/3757] lr: 5.1745e-03 eta: 1 day, 13:43:24 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 7.3445 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0832 loss: 2.0832 2022/07/28 06:38:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:38:24 - mmengine - INFO - Epoch(train) [89][3757/3757] lr: 5.1745e-03 eta: 1 day, 13:43:24 time: 0.3927 data_time: 0.0158 memory: 17007 grad_norm: 7.1880 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.8890 loss: 1.8890 2022/07/28 06:38:24 - mmengine - INFO - Saving checkpoint at 89 epochs 2022/07/28 06:38:35 - mmengine - INFO - Epoch(train) [90][20/3757] lr: 5.0873e-03 eta: 1 day, 13:43:03 time: 0.4403 data_time: 0.0622 memory: 17007 grad_norm: 7.1671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8491 loss: 1.8491 2022/07/28 06:38:43 - mmengine - INFO - Epoch(train) [90][40/3757] lr: 5.0873e-03 eta: 1 day, 13:42:56 time: 0.3974 data_time: 0.0193 memory: 17007 grad_norm: 7.3463 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7692 loss: 1.7692 2022/07/28 06:38:51 - mmengine - INFO - Epoch(train) [90][60/3757] lr: 5.0873e-03 eta: 1 day, 13:42:47 time: 0.3928 data_time: 0.0142 memory: 17007 grad_norm: 8.3347 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1338 loss: 2.1338 2022/07/28 06:38:59 - mmengine - INFO - Epoch(train) [90][80/3757] lr: 5.0873e-03 eta: 1 day, 13:42:39 time: 0.3944 data_time: 0.0147 memory: 17007 grad_norm: 7.7300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1609 loss: 2.1609 2022/07/28 06:39:07 - mmengine - INFO - Epoch(train) [90][100/3757] lr: 5.0873e-03 eta: 1 day, 13:42:32 time: 0.3965 data_time: 0.0156 memory: 17007 grad_norm: 7.2660 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0054 loss: 2.0054 2022/07/28 06:39:15 - mmengine - INFO - Epoch(train) [90][120/3757] lr: 5.0873e-03 eta: 1 day, 13:42:24 time: 0.3941 data_time: 0.0162 memory: 17007 grad_norm: 7.5511 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0475 loss: 2.0475 2022/07/28 06:39:23 - mmengine - INFO - Epoch(train) [90][140/3757] lr: 5.0873e-03 eta: 1 day, 13:42:16 time: 0.3986 data_time: 0.0152 memory: 17007 grad_norm: 7.2157 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9688 loss: 1.9688 2022/07/28 06:39:31 - mmengine - INFO - Epoch(train) [90][160/3757] lr: 5.0873e-03 eta: 1 day, 13:42:08 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 7.3387 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0842 loss: 2.0842 2022/07/28 06:39:38 - mmengine - INFO - Epoch(train) [90][180/3757] lr: 5.0873e-03 eta: 1 day, 13:42:00 time: 0.3931 data_time: 0.0148 memory: 17007 grad_norm: 7.4897 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9027 loss: 1.9027 2022/07/28 06:39:46 - mmengine - INFO - Epoch(train) [90][200/3757] lr: 5.0873e-03 eta: 1 day, 13:41:52 time: 0.3957 data_time: 0.0161 memory: 17007 grad_norm: 7.4635 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7980 loss: 1.7980 2022/07/28 06:39:54 - mmengine - INFO - Epoch(train) [90][220/3757] lr: 5.0873e-03 eta: 1 day, 13:41:44 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 7.2502 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9612 loss: 1.9612 2022/07/28 06:40:02 - mmengine - INFO - Epoch(train) [90][240/3757] lr: 5.0873e-03 eta: 1 day, 13:41:36 time: 0.3975 data_time: 0.0160 memory: 17007 grad_norm: 7.4775 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8319 loss: 1.8319 2022/07/28 06:40:10 - mmengine - INFO - Epoch(train) [90][260/3757] lr: 5.0873e-03 eta: 1 day, 13:41:28 time: 0.3959 data_time: 0.0161 memory: 17007 grad_norm: 7.3838 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1258 loss: 2.1258 2022/07/28 06:40:18 - mmengine - INFO - Epoch(train) [90][280/3757] lr: 5.0873e-03 eta: 1 day, 13:41:20 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 7.2915 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1218 loss: 2.1218 2022/07/28 06:40:26 - mmengine - INFO - Epoch(train) [90][300/3757] lr: 5.0873e-03 eta: 1 day, 13:41:12 time: 0.4004 data_time: 0.0152 memory: 17007 grad_norm: 7.0201 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0723 loss: 2.0723 2022/07/28 06:40:34 - mmengine - INFO - Epoch(train) [90][320/3757] lr: 5.0873e-03 eta: 1 day, 13:41:04 time: 0.3923 data_time: 0.0148 memory: 17007 grad_norm: 7.3932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9589 loss: 1.9589 2022/07/28 06:40:42 - mmengine - INFO - Epoch(train) [90][340/3757] lr: 5.0873e-03 eta: 1 day, 13:40:56 time: 0.3927 data_time: 0.0145 memory: 17007 grad_norm: 7.1251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6988 loss: 1.6988 2022/07/28 06:40:50 - mmengine - INFO - Epoch(train) [90][360/3757] lr: 5.0873e-03 eta: 1 day, 13:40:48 time: 0.3957 data_time: 0.0155 memory: 17007 grad_norm: 7.2803 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0030 loss: 2.0030 2022/07/28 06:40:58 - mmengine - INFO - Epoch(train) [90][380/3757] lr: 5.0873e-03 eta: 1 day, 13:40:40 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 7.3002 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8119 loss: 1.8119 2022/07/28 06:41:06 - mmengine - INFO - Epoch(train) [90][400/3757] lr: 5.0873e-03 eta: 1 day, 13:40:32 time: 0.4057 data_time: 0.0167 memory: 17007 grad_norm: 7.5973 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7738 loss: 1.7738 2022/07/28 06:41:14 - mmengine - INFO - Epoch(train) [90][420/3757] lr: 5.0873e-03 eta: 1 day, 13:40:24 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 6.9883 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9562 loss: 1.9562 2022/07/28 06:41:22 - mmengine - INFO - Epoch(train) [90][440/3757] lr: 5.0873e-03 eta: 1 day, 13:40:16 time: 0.3985 data_time: 0.0163 memory: 17007 grad_norm: 7.5585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0945 loss: 2.0945 2022/07/28 06:41:29 - mmengine - INFO - Epoch(train) [90][460/3757] lr: 5.0873e-03 eta: 1 day, 13:40:08 time: 0.3934 data_time: 0.0147 memory: 17007 grad_norm: 7.5460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9532 loss: 1.9532 2022/07/28 06:41:37 - mmengine - INFO - Epoch(train) [90][480/3757] lr: 5.0873e-03 eta: 1 day, 13:40:00 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 7.4746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9825 loss: 1.9825 2022/07/28 06:41:45 - mmengine - INFO - Epoch(train) [90][500/3757] lr: 5.0873e-03 eta: 1 day, 13:39:52 time: 0.3966 data_time: 0.0156 memory: 17007 grad_norm: 7.6425 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2475 loss: 2.2475 2022/07/28 06:41:53 - mmengine - INFO - Epoch(train) [90][520/3757] lr: 5.0873e-03 eta: 1 day, 13:39:44 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 7.5546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0550 loss: 2.0550 2022/07/28 06:42:01 - mmengine - INFO - Epoch(train) [90][540/3757] lr: 5.0873e-03 eta: 1 day, 13:39:36 time: 0.3970 data_time: 0.0151 memory: 17007 grad_norm: 7.5248 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7059 loss: 1.7059 2022/07/28 06:42:09 - mmengine - INFO - Epoch(train) [90][560/3757] lr: 5.0873e-03 eta: 1 day, 13:39:28 time: 0.3934 data_time: 0.0153 memory: 17007 grad_norm: 7.4030 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.1199 loss: 2.1199 2022/07/28 06:42:17 - mmengine - INFO - Epoch(train) [90][580/3757] lr: 5.0873e-03 eta: 1 day, 13:39:20 time: 0.3934 data_time: 0.0140 memory: 17007 grad_norm: 7.2605 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9268 loss: 1.9268 2022/07/28 06:42:25 - mmengine - INFO - Epoch(train) [90][600/3757] lr: 5.0873e-03 eta: 1 day, 13:39:12 time: 0.4030 data_time: 0.0170 memory: 17007 grad_norm: 7.1775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1304 loss: 2.1304 2022/07/28 06:42:33 - mmengine - INFO - Epoch(train) [90][620/3757] lr: 5.0873e-03 eta: 1 day, 13:39:04 time: 0.3934 data_time: 0.0148 memory: 17007 grad_norm: 7.4699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6142 loss: 1.6142 2022/07/28 06:42:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:42:41 - mmengine - INFO - Epoch(train) [90][640/3757] lr: 5.0873e-03 eta: 1 day, 13:38:56 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 7.1127 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8021 loss: 1.8021 2022/07/28 06:42:49 - mmengine - INFO - Epoch(train) [90][660/3757] lr: 5.0873e-03 eta: 1 day, 13:38:48 time: 0.3946 data_time: 0.0140 memory: 17007 grad_norm: 7.5158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1483 loss: 2.1483 2022/07/28 06:42:57 - mmengine - INFO - Epoch(train) [90][680/3757] lr: 5.0873e-03 eta: 1 day, 13:38:40 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 7.4135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9408 loss: 1.9408 2022/07/28 06:43:05 - mmengine - INFO - Epoch(train) [90][700/3757] lr: 5.0873e-03 eta: 1 day, 13:38:32 time: 0.4014 data_time: 0.0166 memory: 17007 grad_norm: 7.2882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7796 loss: 1.7796 2022/07/28 06:43:13 - mmengine - INFO - Epoch(train) [90][720/3757] lr: 5.0873e-03 eta: 1 day, 13:38:24 time: 0.3943 data_time: 0.0157 memory: 17007 grad_norm: 7.1610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2498 loss: 2.2498 2022/07/28 06:43:20 - mmengine - INFO - Epoch(train) [90][740/3757] lr: 5.0873e-03 eta: 1 day, 13:38:16 time: 0.3906 data_time: 0.0142 memory: 17007 grad_norm: 7.2196 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1188 loss: 2.1188 2022/07/28 06:43:28 - mmengine - INFO - Epoch(train) [90][760/3757] lr: 5.0873e-03 eta: 1 day, 13:38:08 time: 0.4030 data_time: 0.0161 memory: 17007 grad_norm: 7.5503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7270 loss: 1.7270 2022/07/28 06:43:36 - mmengine - INFO - Epoch(train) [90][780/3757] lr: 5.0873e-03 eta: 1 day, 13:38:01 time: 0.3991 data_time: 0.0140 memory: 17007 grad_norm: 7.4138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0033 loss: 2.0033 2022/07/28 06:43:44 - mmengine - INFO - Epoch(train) [90][800/3757] lr: 5.0873e-03 eta: 1 day, 13:37:53 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 7.4647 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2296 loss: 2.2296 2022/07/28 06:43:52 - mmengine - INFO - Epoch(train) [90][820/3757] lr: 5.0873e-03 eta: 1 day, 13:37:45 time: 0.3928 data_time: 0.0147 memory: 17007 grad_norm: 7.4290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1413 loss: 2.1413 2022/07/28 06:44:00 - mmengine - INFO - Epoch(train) [90][840/3757] lr: 5.0873e-03 eta: 1 day, 13:37:36 time: 0.3930 data_time: 0.0151 memory: 17007 grad_norm: 7.3881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8709 loss: 1.8709 2022/07/28 06:44:08 - mmengine - INFO - Epoch(train) [90][860/3757] lr: 5.0873e-03 eta: 1 day, 13:37:29 time: 0.4030 data_time: 0.0154 memory: 17007 grad_norm: 6.9613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7881 loss: 1.7881 2022/07/28 06:44:16 - mmengine - INFO - Epoch(train) [90][880/3757] lr: 5.0873e-03 eta: 1 day, 13:37:21 time: 0.4025 data_time: 0.0149 memory: 17007 grad_norm: 7.2726 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1720 loss: 2.1720 2022/07/28 06:44:24 - mmengine - INFO - Epoch(train) [90][900/3757] lr: 5.0873e-03 eta: 1 day, 13:37:13 time: 0.3982 data_time: 0.0157 memory: 17007 grad_norm: 7.3437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8873 loss: 1.8873 2022/07/28 06:44:32 - mmengine - INFO - Epoch(train) [90][920/3757] lr: 5.0873e-03 eta: 1 day, 13:37:05 time: 0.3964 data_time: 0.0153 memory: 17007 grad_norm: 7.4207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0925 loss: 2.0925 2022/07/28 06:44:40 - mmengine - INFO - Epoch(train) [90][940/3757] lr: 5.0873e-03 eta: 1 day, 13:36:57 time: 0.3931 data_time: 0.0140 memory: 17007 grad_norm: 7.4011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8031 loss: 1.8031 2022/07/28 06:44:48 - mmengine - INFO - Epoch(train) [90][960/3757] lr: 5.0873e-03 eta: 1 day, 13:36:49 time: 0.4040 data_time: 0.0162 memory: 17007 grad_norm: 7.3483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1011 loss: 2.1011 2022/07/28 06:44:56 - mmengine - INFO - Epoch(train) [90][980/3757] lr: 5.0873e-03 eta: 1 day, 13:36:41 time: 0.3948 data_time: 0.0152 memory: 17007 grad_norm: 7.4065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8302 loss: 1.8302 2022/07/28 06:45:04 - mmengine - INFO - Epoch(train) [90][1000/3757] lr: 5.0873e-03 eta: 1 day, 13:36:33 time: 0.4018 data_time: 0.0166 memory: 17007 grad_norm: 7.5991 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3242 loss: 2.3242 2022/07/28 06:45:12 - mmengine - INFO - Epoch(train) [90][1020/3757] lr: 5.0873e-03 eta: 1 day, 13:36:25 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 7.1126 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1846 loss: 2.1846 2022/07/28 06:45:20 - mmengine - INFO - Epoch(train) [90][1040/3757] lr: 5.0873e-03 eta: 1 day, 13:36:17 time: 0.3939 data_time: 0.0148 memory: 17007 grad_norm: 7.1374 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7162 loss: 1.7162 2022/07/28 06:45:28 - mmengine - INFO - Epoch(train) [90][1060/3757] lr: 5.0873e-03 eta: 1 day, 13:36:09 time: 0.4058 data_time: 0.0175 memory: 17007 grad_norm: 7.7117 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1235 loss: 2.1235 2022/07/28 06:45:36 - mmengine - INFO - Epoch(train) [90][1080/3757] lr: 5.0873e-03 eta: 1 day, 13:36:01 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 7.4245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1705 loss: 2.1705 2022/07/28 06:45:44 - mmengine - INFO - Epoch(train) [90][1100/3757] lr: 5.0873e-03 eta: 1 day, 13:35:54 time: 0.3956 data_time: 0.0155 memory: 17007 grad_norm: 7.5235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1168 loss: 2.1168 2022/07/28 06:45:52 - mmengine - INFO - Epoch(train) [90][1120/3757] lr: 5.0873e-03 eta: 1 day, 13:35:46 time: 0.3940 data_time: 0.0150 memory: 17007 grad_norm: 7.4616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9556 loss: 1.9556 2022/07/28 06:45:59 - mmengine - INFO - Epoch(train) [90][1140/3757] lr: 5.0873e-03 eta: 1 day, 13:35:37 time: 0.3930 data_time: 0.0151 memory: 17007 grad_norm: 7.2376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8986 loss: 1.8986 2022/07/28 06:46:07 - mmengine - INFO - Epoch(train) [90][1160/3757] lr: 5.0873e-03 eta: 1 day, 13:35:29 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 7.4828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0428 loss: 2.0428 2022/07/28 06:46:15 - mmengine - INFO - Epoch(train) [90][1180/3757] lr: 5.0873e-03 eta: 1 day, 13:35:21 time: 0.3925 data_time: 0.0149 memory: 17007 grad_norm: 7.2007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8922 loss: 1.8922 2022/07/28 06:46:23 - mmengine - INFO - Epoch(train) [90][1200/3757] lr: 5.0873e-03 eta: 1 day, 13:35:14 time: 0.3969 data_time: 0.0155 memory: 17007 grad_norm: 7.1561 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1950 loss: 2.1950 2022/07/28 06:46:31 - mmengine - INFO - Epoch(train) [90][1220/3757] lr: 5.0873e-03 eta: 1 day, 13:35:05 time: 0.3927 data_time: 0.0142 memory: 17007 grad_norm: 7.2627 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8980 loss: 1.8980 2022/07/28 06:46:39 - mmengine - INFO - Epoch(train) [90][1240/3757] lr: 5.0873e-03 eta: 1 day, 13:34:57 time: 0.3920 data_time: 0.0147 memory: 17007 grad_norm: 7.1412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8881 loss: 1.8881 2022/07/28 06:46:47 - mmengine - INFO - Epoch(train) [90][1260/3757] lr: 5.0873e-03 eta: 1 day, 13:34:50 time: 0.3993 data_time: 0.0140 memory: 17007 grad_norm: 7.4611 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7720 loss: 1.7720 2022/07/28 06:46:55 - mmengine - INFO - Epoch(train) [90][1280/3757] lr: 5.0873e-03 eta: 1 day, 13:34:42 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.2883 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0993 loss: 2.0993 2022/07/28 06:47:03 - mmengine - INFO - Epoch(train) [90][1300/3757] lr: 5.0873e-03 eta: 1 day, 13:34:34 time: 0.4026 data_time: 0.0155 memory: 17007 grad_norm: 7.5972 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1977 loss: 2.1977 2022/07/28 06:47:11 - mmengine - INFO - Epoch(train) [90][1320/3757] lr: 5.0873e-03 eta: 1 day, 13:34:26 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 7.7054 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1820 loss: 2.1820 2022/07/28 06:47:19 - mmengine - INFO - Epoch(train) [90][1340/3757] lr: 5.0873e-03 eta: 1 day, 13:34:18 time: 0.3957 data_time: 0.0147 memory: 17007 grad_norm: 7.4964 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8816 loss: 1.8816 2022/07/28 06:47:27 - mmengine - INFO - Epoch(train) [90][1360/3757] lr: 5.0873e-03 eta: 1 day, 13:34:10 time: 0.3986 data_time: 0.0162 memory: 17007 grad_norm: 7.4406 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0394 loss: 2.0394 2022/07/28 06:47:35 - mmengine - INFO - Epoch(train) [90][1380/3757] lr: 5.0873e-03 eta: 1 day, 13:34:02 time: 0.3939 data_time: 0.0140 memory: 17007 grad_norm: 7.4944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0600 loss: 2.0600 2022/07/28 06:47:43 - mmengine - INFO - Epoch(train) [90][1400/3757] lr: 5.0873e-03 eta: 1 day, 13:33:54 time: 0.3992 data_time: 0.0165 memory: 17007 grad_norm: 7.6438 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7220 loss: 1.7220 2022/07/28 06:47:50 - mmengine - INFO - Epoch(train) [90][1420/3757] lr: 5.0873e-03 eta: 1 day, 13:33:46 time: 0.3932 data_time: 0.0152 memory: 17007 grad_norm: 7.3086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1342 loss: 2.1342 2022/07/28 06:47:58 - mmengine - INFO - Epoch(train) [90][1440/3757] lr: 5.0873e-03 eta: 1 day, 13:33:38 time: 0.3943 data_time: 0.0144 memory: 17007 grad_norm: 7.2727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9922 loss: 1.9922 2022/07/28 06:48:06 - mmengine - INFO - Epoch(train) [90][1460/3757] lr: 5.0873e-03 eta: 1 day, 13:33:30 time: 0.3965 data_time: 0.0145 memory: 17007 grad_norm: 7.4835 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2209 loss: 2.2209 2022/07/28 06:48:14 - mmengine - INFO - Epoch(train) [90][1480/3757] lr: 5.0873e-03 eta: 1 day, 13:33:22 time: 0.3965 data_time: 0.0162 memory: 17007 grad_norm: 7.2095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9924 loss: 1.9924 2022/07/28 06:48:22 - mmengine - INFO - Epoch(train) [90][1500/3757] lr: 5.0873e-03 eta: 1 day, 13:33:14 time: 0.4070 data_time: 0.0160 memory: 17007 grad_norm: 7.2376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8658 loss: 1.8658 2022/07/28 06:48:30 - mmengine - INFO - Epoch(train) [90][1520/3757] lr: 5.0873e-03 eta: 1 day, 13:33:06 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 7.3319 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2636 loss: 2.2636 2022/07/28 06:48:38 - mmengine - INFO - Epoch(train) [90][1540/3757] lr: 5.0873e-03 eta: 1 day, 13:32:58 time: 0.3926 data_time: 0.0139 memory: 17007 grad_norm: 7.5181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7962 loss: 1.7962 2022/07/28 06:48:46 - mmengine - INFO - Epoch(train) [90][1560/3757] lr: 5.0873e-03 eta: 1 day, 13:32:50 time: 0.3971 data_time: 0.0165 memory: 17007 grad_norm: 7.4710 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0363 loss: 2.0363 2022/07/28 06:48:54 - mmengine - INFO - Epoch(train) [90][1580/3757] lr: 5.0873e-03 eta: 1 day, 13:32:42 time: 0.3966 data_time: 0.0134 memory: 17007 grad_norm: 7.4460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1571 loss: 2.1571 2022/07/28 06:49:02 - mmengine - INFO - Epoch(train) [90][1600/3757] lr: 5.0873e-03 eta: 1 day, 13:32:34 time: 0.3986 data_time: 0.0159 memory: 17007 grad_norm: 7.2991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0240 loss: 2.0240 2022/07/28 06:49:10 - mmengine - INFO - Epoch(train) [90][1620/3757] lr: 5.0873e-03 eta: 1 day, 13:32:26 time: 0.3931 data_time: 0.0144 memory: 17007 grad_norm: 7.2800 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1396 loss: 2.1396 2022/07/28 06:49:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:49:18 - mmengine - INFO - Epoch(train) [90][1640/3757] lr: 5.0873e-03 eta: 1 day, 13:32:18 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 7.3537 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9952 loss: 1.9952 2022/07/28 06:49:26 - mmengine - INFO - Epoch(train) [90][1660/3757] lr: 5.0873e-03 eta: 1 day, 13:32:10 time: 0.3979 data_time: 0.0152 memory: 17007 grad_norm: 7.3933 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0784 loss: 2.0784 2022/07/28 06:49:34 - mmengine - INFO - Epoch(train) [90][1680/3757] lr: 5.0873e-03 eta: 1 day, 13:32:02 time: 0.3969 data_time: 0.0159 memory: 17007 grad_norm: 8.1303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1611 loss: 2.1611 2022/07/28 06:49:42 - mmengine - INFO - Epoch(train) [90][1700/3757] lr: 5.0873e-03 eta: 1 day, 13:31:54 time: 0.3973 data_time: 0.0137 memory: 17007 grad_norm: 7.5931 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1128 loss: 2.1128 2022/07/28 06:49:49 - mmengine - INFO - Epoch(train) [90][1720/3757] lr: 5.0873e-03 eta: 1 day, 13:31:46 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 7.7907 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2235 loss: 2.2235 2022/07/28 06:49:57 - mmengine - INFO - Epoch(train) [90][1740/3757] lr: 5.0873e-03 eta: 1 day, 13:31:38 time: 0.3940 data_time: 0.0133 memory: 17007 grad_norm: 7.1942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6582 loss: 1.6582 2022/07/28 06:50:05 - mmengine - INFO - Epoch(train) [90][1760/3757] lr: 5.0873e-03 eta: 1 day, 13:31:31 time: 0.3982 data_time: 0.0161 memory: 17007 grad_norm: 7.3181 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7765 loss: 1.7765 2022/07/28 06:50:13 - mmengine - INFO - Epoch(train) [90][1780/3757] lr: 5.0873e-03 eta: 1 day, 13:31:23 time: 0.3945 data_time: 0.0142 memory: 17007 grad_norm: 7.1684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8296 loss: 1.8296 2022/07/28 06:50:21 - mmengine - INFO - Epoch(train) [90][1800/3757] lr: 5.0873e-03 eta: 1 day, 13:31:14 time: 0.3931 data_time: 0.0148 memory: 17007 grad_norm: 7.7594 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0775 loss: 2.0775 2022/07/28 06:50:29 - mmengine - INFO - Epoch(train) [90][1820/3757] lr: 5.0873e-03 eta: 1 day, 13:31:06 time: 0.3943 data_time: 0.0163 memory: 17007 grad_norm: 7.3820 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8548 loss: 1.8548 2022/07/28 06:50:37 - mmengine - INFO - Epoch(train) [90][1840/3757] lr: 5.0873e-03 eta: 1 day, 13:30:59 time: 0.3959 data_time: 0.0159 memory: 17007 grad_norm: 7.6065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2778 loss: 2.2778 2022/07/28 06:50:45 - mmengine - INFO - Epoch(train) [90][1860/3757] lr: 5.0873e-03 eta: 1 day, 13:30:51 time: 0.3966 data_time: 0.0159 memory: 17007 grad_norm: 7.5668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9877 loss: 1.9877 2022/07/28 06:50:53 - mmengine - INFO - Epoch(train) [90][1880/3757] lr: 5.0873e-03 eta: 1 day, 13:30:43 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 7.4891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8986 loss: 1.8986 2022/07/28 06:51:01 - mmengine - INFO - Epoch(train) [90][1900/3757] lr: 5.0873e-03 eta: 1 day, 13:30:35 time: 0.3922 data_time: 0.0146 memory: 17007 grad_norm: 7.2375 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9349 loss: 1.9349 2022/07/28 06:51:09 - mmengine - INFO - Epoch(train) [90][1920/3757] lr: 5.0873e-03 eta: 1 day, 13:30:26 time: 0.3923 data_time: 0.0160 memory: 17007 grad_norm: 7.5581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8029 loss: 1.8029 2022/07/28 06:51:16 - mmengine - INFO - Epoch(train) [90][1940/3757] lr: 5.0873e-03 eta: 1 day, 13:30:18 time: 0.3944 data_time: 0.0150 memory: 17007 grad_norm: 7.3974 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9028 loss: 1.9028 2022/07/28 06:51:24 - mmengine - INFO - Epoch(train) [90][1960/3757] lr: 5.0873e-03 eta: 1 day, 13:30:11 time: 0.3977 data_time: 0.0163 memory: 17007 grad_norm: 7.3556 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9886 loss: 1.9886 2022/07/28 06:51:32 - mmengine - INFO - Epoch(train) [90][1980/3757] lr: 5.0873e-03 eta: 1 day, 13:30:03 time: 0.3986 data_time: 0.0148 memory: 17007 grad_norm: 7.6406 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2596 loss: 2.2596 2022/07/28 06:51:40 - mmengine - INFO - Epoch(train) [90][2000/3757] lr: 5.0873e-03 eta: 1 day, 13:29:55 time: 0.3932 data_time: 0.0145 memory: 17007 grad_norm: 7.4416 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0543 loss: 2.0543 2022/07/28 06:51:48 - mmengine - INFO - Epoch(train) [90][2020/3757] lr: 5.0873e-03 eta: 1 day, 13:29:47 time: 0.3961 data_time: 0.0159 memory: 17007 grad_norm: 7.4271 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2109 loss: 2.2109 2022/07/28 06:51:56 - mmengine - INFO - Epoch(train) [90][2040/3757] lr: 5.0873e-03 eta: 1 day, 13:29:39 time: 0.3953 data_time: 0.0154 memory: 17007 grad_norm: 7.3639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9069 loss: 1.9069 2022/07/28 06:52:04 - mmengine - INFO - Epoch(train) [90][2060/3757] lr: 5.0873e-03 eta: 1 day, 13:29:31 time: 0.3954 data_time: 0.0154 memory: 17007 grad_norm: 7.5100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1950 loss: 2.1950 2022/07/28 06:52:12 - mmengine - INFO - Epoch(train) [90][2080/3757] lr: 5.0873e-03 eta: 1 day, 13:29:23 time: 0.4090 data_time: 0.0153 memory: 17007 grad_norm: 6.9988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9248 loss: 1.9248 2022/07/28 06:52:20 - mmengine - INFO - Epoch(train) [90][2100/3757] lr: 5.0873e-03 eta: 1 day, 13:29:15 time: 0.3937 data_time: 0.0145 memory: 17007 grad_norm: 7.2665 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9519 loss: 1.9519 2022/07/28 06:52:28 - mmengine - INFO - Epoch(train) [90][2120/3757] lr: 5.0873e-03 eta: 1 day, 13:29:07 time: 0.4021 data_time: 0.0167 memory: 17007 grad_norm: 7.3910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0115 loss: 2.0115 2022/07/28 06:52:36 - mmengine - INFO - Epoch(train) [90][2140/3757] lr: 5.0873e-03 eta: 1 day, 13:28:59 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 7.7674 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1408 loss: 2.1408 2022/07/28 06:52:44 - mmengine - INFO - Epoch(train) [90][2160/3757] lr: 5.0873e-03 eta: 1 day, 13:28:51 time: 0.3964 data_time: 0.0162 memory: 17007 grad_norm: 7.3488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2975 loss: 2.2975 2022/07/28 06:52:52 - mmengine - INFO - Epoch(train) [90][2180/3757] lr: 5.0873e-03 eta: 1 day, 13:28:43 time: 0.3933 data_time: 0.0144 memory: 17007 grad_norm: 7.5060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0054 loss: 2.0054 2022/07/28 06:53:00 - mmengine - INFO - Epoch(train) [90][2200/3757] lr: 5.0873e-03 eta: 1 day, 13:28:35 time: 0.3946 data_time: 0.0150 memory: 17007 grad_norm: 7.4557 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0053 loss: 2.0053 2022/07/28 06:53:08 - mmengine - INFO - Epoch(train) [90][2220/3757] lr: 5.0873e-03 eta: 1 day, 13:28:27 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 7.7213 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0804 loss: 2.0804 2022/07/28 06:53:16 - mmengine - INFO - Epoch(train) [90][2240/3757] lr: 5.0873e-03 eta: 1 day, 13:28:19 time: 0.3964 data_time: 0.0160 memory: 17007 grad_norm: 7.3620 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1298 loss: 2.1298 2022/07/28 06:53:23 - mmengine - INFO - Epoch(train) [90][2260/3757] lr: 5.0873e-03 eta: 1 day, 13:28:11 time: 0.3950 data_time: 0.0148 memory: 17007 grad_norm: 7.4174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0826 loss: 2.0826 2022/07/28 06:53:31 - mmengine - INFO - Epoch(train) [90][2280/3757] lr: 5.0873e-03 eta: 1 day, 13:28:03 time: 0.3929 data_time: 0.0148 memory: 17007 grad_norm: 7.7421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1008 loss: 2.1008 2022/07/28 06:53:39 - mmengine - INFO - Epoch(train) [90][2300/3757] lr: 5.0873e-03 eta: 1 day, 13:27:55 time: 0.3942 data_time: 0.0143 memory: 17007 grad_norm: 7.6686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7391 loss: 1.7391 2022/07/28 06:53:47 - mmengine - INFO - Epoch(train) [90][2320/3757] lr: 5.0873e-03 eta: 1 day, 13:27:47 time: 0.3985 data_time: 0.0170 memory: 17007 grad_norm: 7.4260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3648 loss: 2.3648 2022/07/28 06:53:55 - mmengine - INFO - Epoch(train) [90][2340/3757] lr: 5.0873e-03 eta: 1 day, 13:27:39 time: 0.3926 data_time: 0.0137 memory: 17007 grad_norm: 7.4478 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8347 loss: 1.8347 2022/07/28 06:54:03 - mmengine - INFO - Epoch(train) [90][2360/3757] lr: 5.0873e-03 eta: 1 day, 13:27:31 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 7.5837 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3036 loss: 2.3036 2022/07/28 06:54:11 - mmengine - INFO - Epoch(train) [90][2380/3757] lr: 5.0873e-03 eta: 1 day, 13:27:23 time: 0.3924 data_time: 0.0134 memory: 17007 grad_norm: 7.3846 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1505 loss: 2.1505 2022/07/28 06:54:19 - mmengine - INFO - Epoch(train) [90][2400/3757] lr: 5.0873e-03 eta: 1 day, 13:27:15 time: 0.3961 data_time: 0.0148 memory: 17007 grad_norm: 7.4364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7340 loss: 1.7340 2022/07/28 06:54:27 - mmengine - INFO - Epoch(train) [90][2420/3757] lr: 5.0873e-03 eta: 1 day, 13:27:07 time: 0.3960 data_time: 0.0153 memory: 17007 grad_norm: 7.6428 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9661 loss: 1.9661 2022/07/28 06:54:35 - mmengine - INFO - Epoch(train) [90][2440/3757] lr: 5.0873e-03 eta: 1 day, 13:26:59 time: 0.4018 data_time: 0.0154 memory: 17007 grad_norm: 7.2783 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9180 loss: 1.9180 2022/07/28 06:54:43 - mmengine - INFO - Epoch(train) [90][2460/3757] lr: 5.0873e-03 eta: 1 day, 13:26:51 time: 0.3926 data_time: 0.0137 memory: 17007 grad_norm: 7.5224 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0764 loss: 2.0764 2022/07/28 06:54:51 - mmengine - INFO - Epoch(train) [90][2480/3757] lr: 5.0873e-03 eta: 1 day, 13:26:43 time: 0.3994 data_time: 0.0156 memory: 17007 grad_norm: 7.3364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8277 loss: 1.8277 2022/07/28 06:54:59 - mmengine - INFO - Epoch(train) [90][2500/3757] lr: 5.0873e-03 eta: 1 day, 13:26:35 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 7.1119 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3491 loss: 2.3491 2022/07/28 06:55:06 - mmengine - INFO - Epoch(train) [90][2520/3757] lr: 5.0873e-03 eta: 1 day, 13:26:27 time: 0.3965 data_time: 0.0165 memory: 17007 grad_norm: 7.8237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0952 loss: 2.0952 2022/07/28 06:55:14 - mmengine - INFO - Epoch(train) [90][2540/3757] lr: 5.0873e-03 eta: 1 day, 13:26:20 time: 0.3959 data_time: 0.0135 memory: 17007 grad_norm: 7.4551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8108 loss: 1.8108 2022/07/28 06:55:22 - mmengine - INFO - Epoch(train) [90][2560/3757] lr: 5.0873e-03 eta: 1 day, 13:26:12 time: 0.3950 data_time: 0.0159 memory: 17007 grad_norm: 7.3520 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9291 loss: 1.9291 2022/07/28 06:55:30 - mmengine - INFO - Epoch(train) [90][2580/3757] lr: 5.0873e-03 eta: 1 day, 13:26:04 time: 0.3947 data_time: 0.0143 memory: 17007 grad_norm: 7.1521 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8411 loss: 1.8411 2022/07/28 06:55:38 - mmengine - INFO - Epoch(train) [90][2600/3757] lr: 5.0873e-03 eta: 1 day, 13:25:56 time: 0.3948 data_time: 0.0163 memory: 17007 grad_norm: 7.3637 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9375 loss: 1.9375 2022/07/28 06:55:46 - mmengine - INFO - Epoch(train) [90][2620/3757] lr: 5.0873e-03 eta: 1 day, 13:25:48 time: 0.3935 data_time: 0.0140 memory: 17007 grad_norm: 7.1291 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8885 loss: 1.8885 2022/07/28 06:55:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 06:55:54 - mmengine - INFO - Epoch(train) [90][2640/3757] lr: 5.0873e-03 eta: 1 day, 13:25:40 time: 0.4023 data_time: 0.0159 memory: 17007 grad_norm: 7.2162 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7588 loss: 1.7588 2022/07/28 06:56:02 - mmengine - INFO - Epoch(train) [90][2660/3757] lr: 5.0873e-03 eta: 1 day, 13:25:32 time: 0.3934 data_time: 0.0139 memory: 17007 grad_norm: 7.5745 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9751 loss: 1.9751 2022/07/28 06:56:10 - mmengine - INFO - Epoch(train) [90][2680/3757] lr: 5.0873e-03 eta: 1 day, 13:25:24 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 7.2592 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0530 loss: 2.0530 2022/07/28 06:56:18 - mmengine - INFO - Epoch(train) [90][2700/3757] lr: 5.0873e-03 eta: 1 day, 13:25:16 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 7.5411 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9511 loss: 1.9511 2022/07/28 06:56:26 - mmengine - INFO - Epoch(train) [90][2720/3757] lr: 5.0873e-03 eta: 1 day, 13:25:08 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 7.1726 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0568 loss: 2.0568 2022/07/28 06:56:34 - mmengine - INFO - Epoch(train) [90][2740/3757] lr: 5.0873e-03 eta: 1 day, 13:25:00 time: 0.3970 data_time: 0.0148 memory: 17007 grad_norm: 7.3692 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2299 loss: 2.2299 2022/07/28 06:56:41 - mmengine - INFO - Epoch(train) [90][2760/3757] lr: 5.0873e-03 eta: 1 day, 13:24:52 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 7.3763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8043 loss: 1.8043 2022/07/28 06:56:49 - mmengine - INFO - Epoch(train) [90][2780/3757] lr: 5.0873e-03 eta: 1 day, 13:24:44 time: 0.3947 data_time: 0.0148 memory: 17007 grad_norm: 7.2536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8190 loss: 1.8190 2022/07/28 06:56:57 - mmengine - INFO - Epoch(train) [90][2800/3757] lr: 5.0873e-03 eta: 1 day, 13:24:36 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 6.9893 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9089 loss: 1.9089 2022/07/28 06:57:05 - mmengine - INFO - Epoch(train) [90][2820/3757] lr: 5.0873e-03 eta: 1 day, 13:24:28 time: 0.3938 data_time: 0.0146 memory: 17007 grad_norm: 7.5169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0507 loss: 2.0507 2022/07/28 06:57:13 - mmengine - INFO - Epoch(train) [90][2840/3757] lr: 5.0873e-03 eta: 1 day, 13:24:20 time: 0.3959 data_time: 0.0154 memory: 17007 grad_norm: 7.1226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7932 loss: 1.7932 2022/07/28 06:57:21 - mmengine - INFO - Epoch(train) [90][2860/3757] lr: 5.0873e-03 eta: 1 day, 13:24:12 time: 0.3931 data_time: 0.0175 memory: 17007 grad_norm: 7.2272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9412 loss: 1.9412 2022/07/28 06:57:29 - mmengine - INFO - Epoch(train) [90][2880/3757] lr: 5.0873e-03 eta: 1 day, 13:24:04 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 7.4112 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8245 loss: 1.8245 2022/07/28 06:57:37 - mmengine - INFO - Epoch(train) [90][2900/3757] lr: 5.0873e-03 eta: 1 day, 13:23:56 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 7.2021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8254 loss: 1.8254 2022/07/28 06:57:45 - mmengine - INFO - Epoch(train) [90][2920/3757] lr: 5.0873e-03 eta: 1 day, 13:23:48 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 7.5408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7177 loss: 1.7177 2022/07/28 06:57:53 - mmengine - INFO - Epoch(train) [90][2940/3757] lr: 5.0873e-03 eta: 1 day, 13:23:40 time: 0.3957 data_time: 0.0148 memory: 17007 grad_norm: 7.2568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0244 loss: 2.0244 2022/07/28 06:58:01 - mmengine - INFO - Epoch(train) [90][2960/3757] lr: 5.0873e-03 eta: 1 day, 13:23:32 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 7.2214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9907 loss: 1.9907 2022/07/28 06:58:08 - mmengine - INFO - Epoch(train) [90][2980/3757] lr: 5.0873e-03 eta: 1 day, 13:23:24 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 7.4224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8333 loss: 1.8333 2022/07/28 06:58:16 - mmengine - INFO - Epoch(train) [90][3000/3757] lr: 5.0873e-03 eta: 1 day, 13:23:16 time: 0.3927 data_time: 0.0170 memory: 17007 grad_norm: 7.4429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8838 loss: 1.8838 2022/07/28 06:58:24 - mmengine - INFO - Epoch(train) [90][3020/3757] lr: 5.0873e-03 eta: 1 day, 13:23:08 time: 0.3935 data_time: 0.0134 memory: 17007 grad_norm: 7.3495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9611 loss: 1.9611 2022/07/28 06:58:32 - mmengine - INFO - Epoch(train) [90][3040/3757] lr: 5.0873e-03 eta: 1 day, 13:23:00 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 7.3370 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9198 loss: 1.9198 2022/07/28 06:58:40 - mmengine - INFO - Epoch(train) [90][3060/3757] lr: 5.0873e-03 eta: 1 day, 13:22:52 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 7.2567 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9401 loss: 1.9401 2022/07/28 06:58:48 - mmengine - INFO - Epoch(train) [90][3080/3757] lr: 5.0873e-03 eta: 1 day, 13:22:44 time: 0.3952 data_time: 0.0159 memory: 17007 grad_norm: 7.4979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/07/28 06:58:56 - mmengine - INFO - Epoch(train) [90][3100/3757] lr: 5.0873e-03 eta: 1 day, 13:22:36 time: 0.3937 data_time: 0.0144 memory: 17007 grad_norm: 7.3891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8711 loss: 1.8711 2022/07/28 06:59:04 - mmengine - INFO - Epoch(train) [90][3120/3757] lr: 5.0873e-03 eta: 1 day, 13:22:28 time: 0.3975 data_time: 0.0169 memory: 17007 grad_norm: 7.6493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0904 loss: 2.0904 2022/07/28 06:59:12 - mmengine - INFO - Epoch(train) [90][3140/3757] lr: 5.0873e-03 eta: 1 day, 13:22:20 time: 0.3920 data_time: 0.0151 memory: 17007 grad_norm: 7.5320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1738 loss: 2.1738 2022/07/28 06:59:19 - mmengine - INFO - Epoch(train) [90][3160/3757] lr: 5.0873e-03 eta: 1 day, 13:22:12 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 7.6230 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9809 loss: 1.9809 2022/07/28 06:59:27 - mmengine - INFO - Epoch(train) [90][3180/3757] lr: 5.0873e-03 eta: 1 day, 13:22:04 time: 0.3974 data_time: 0.0168 memory: 17007 grad_norm: 7.2801 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1595 loss: 2.1595 2022/07/28 06:59:35 - mmengine - INFO - Epoch(train) [90][3200/3757] lr: 5.0873e-03 eta: 1 day, 13:21:56 time: 0.3950 data_time: 0.0152 memory: 17007 grad_norm: 7.5646 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8708 loss: 1.8708 2022/07/28 06:59:43 - mmengine - INFO - Epoch(train) [90][3220/3757] lr: 5.0873e-03 eta: 1 day, 13:21:48 time: 0.3978 data_time: 0.0154 memory: 17007 grad_norm: 7.1899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9641 loss: 1.9641 2022/07/28 06:59:51 - mmengine - INFO - Epoch(train) [90][3240/3757] lr: 5.0873e-03 eta: 1 day, 13:21:40 time: 0.3938 data_time: 0.0161 memory: 17007 grad_norm: 7.7728 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9147 loss: 1.9147 2022/07/28 06:59:59 - mmengine - INFO - Epoch(train) [90][3260/3757] lr: 5.0873e-03 eta: 1 day, 13:21:32 time: 0.3935 data_time: 0.0128 memory: 17007 grad_norm: 7.2912 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7885 loss: 1.7885 2022/07/28 07:00:07 - mmengine - INFO - Epoch(train) [90][3280/3757] lr: 5.0873e-03 eta: 1 day, 13:21:24 time: 0.4018 data_time: 0.0156 memory: 17007 grad_norm: 7.4359 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9232 loss: 1.9232 2022/07/28 07:00:15 - mmengine - INFO - Epoch(train) [90][3300/3757] lr: 5.0873e-03 eta: 1 day, 13:21:16 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 7.4284 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9343 loss: 1.9343 2022/07/28 07:00:23 - mmengine - INFO - Epoch(train) [90][3320/3757] lr: 5.0873e-03 eta: 1 day, 13:21:08 time: 0.3978 data_time: 0.0146 memory: 17007 grad_norm: 7.4064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8272 loss: 1.8272 2022/07/28 07:00:31 - mmengine - INFO - Epoch(train) [90][3340/3757] lr: 5.0873e-03 eta: 1 day, 13:21:00 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 7.3751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8732 loss: 1.8732 2022/07/28 07:00:39 - mmengine - INFO - Epoch(train) [90][3360/3757] lr: 5.0873e-03 eta: 1 day, 13:20:52 time: 0.3992 data_time: 0.0150 memory: 17007 grad_norm: 7.3114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8921 loss: 1.8921 2022/07/28 07:00:47 - mmengine - INFO - Epoch(train) [90][3380/3757] lr: 5.0873e-03 eta: 1 day, 13:20:44 time: 0.3956 data_time: 0.0165 memory: 17007 grad_norm: 7.3788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8121 loss: 1.8121 2022/07/28 07:00:55 - mmengine - INFO - Epoch(train) [90][3400/3757] lr: 5.0873e-03 eta: 1 day, 13:20:36 time: 0.3969 data_time: 0.0155 memory: 17007 grad_norm: 7.4878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9918 loss: 1.9918 2022/07/28 07:01:03 - mmengine - INFO - Epoch(train) [90][3420/3757] lr: 5.0873e-03 eta: 1 day, 13:20:28 time: 0.3927 data_time: 0.0137 memory: 17007 grad_norm: 7.2879 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2286 loss: 2.2286 2022/07/28 07:01:10 - mmengine - INFO - Epoch(train) [90][3440/3757] lr: 5.0873e-03 eta: 1 day, 13:20:20 time: 0.3950 data_time: 0.0162 memory: 17007 grad_norm: 7.4510 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6683 loss: 1.6683 2022/07/28 07:01:18 - mmengine - INFO - Epoch(train) [90][3460/3757] lr: 5.0873e-03 eta: 1 day, 13:20:12 time: 0.3935 data_time: 0.0145 memory: 17007 grad_norm: 7.3067 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4114 loss: 2.4114 2022/07/28 07:01:27 - mmengine - INFO - Epoch(train) [90][3480/3757] lr: 5.0873e-03 eta: 1 day, 13:20:05 time: 0.4144 data_time: 0.0161 memory: 17007 grad_norm: 7.3524 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9386 loss: 1.9386 2022/07/28 07:01:35 - mmengine - INFO - Epoch(train) [90][3500/3757] lr: 5.0873e-03 eta: 1 day, 13:19:57 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 7.5133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9018 loss: 1.9018 2022/07/28 07:01:42 - mmengine - INFO - Epoch(train) [90][3520/3757] lr: 5.0873e-03 eta: 1 day, 13:19:49 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 7.3972 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9963 loss: 1.9963 2022/07/28 07:01:50 - mmengine - INFO - Epoch(train) [90][3540/3757] lr: 5.0873e-03 eta: 1 day, 13:19:41 time: 0.3950 data_time: 0.0135 memory: 17007 grad_norm: 8.6941 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0695 loss: 2.0695 2022/07/28 07:01:58 - mmengine - INFO - Epoch(train) [90][3560/3757] lr: 5.0873e-03 eta: 1 day, 13:19:33 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 7.4326 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0095 loss: 2.0095 2022/07/28 07:02:06 - mmengine - INFO - Epoch(train) [90][3580/3757] lr: 5.0873e-03 eta: 1 day, 13:19:25 time: 0.4002 data_time: 0.0159 memory: 17007 grad_norm: 7.3333 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1463 loss: 2.1463 2022/07/28 07:02:14 - mmengine - INFO - Epoch(train) [90][3600/3757] lr: 5.0873e-03 eta: 1 day, 13:19:17 time: 0.3956 data_time: 0.0162 memory: 17007 grad_norm: 7.2153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0210 loss: 2.0210 2022/07/28 07:02:22 - mmengine - INFO - Epoch(train) [90][3620/3757] lr: 5.0873e-03 eta: 1 day, 13:19:09 time: 0.3932 data_time: 0.0149 memory: 17007 grad_norm: 7.6708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0549 loss: 2.0549 2022/07/28 07:02:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:02:30 - mmengine - INFO - Epoch(train) [90][3640/3757] lr: 5.0873e-03 eta: 1 day, 13:19:01 time: 0.3998 data_time: 0.0156 memory: 17007 grad_norm: 7.6015 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9605 loss: 1.9605 2022/07/28 07:02:38 - mmengine - INFO - Epoch(train) [90][3660/3757] lr: 5.0873e-03 eta: 1 day, 13:18:53 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 7.8093 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0425 loss: 2.0425 2022/07/28 07:02:46 - mmengine - INFO - Epoch(train) [90][3680/3757] lr: 5.0873e-03 eta: 1 day, 13:18:45 time: 0.4015 data_time: 0.0155 memory: 17007 grad_norm: 7.5425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0301 loss: 2.0301 2022/07/28 07:02:54 - mmengine - INFO - Epoch(train) [90][3700/3757] lr: 5.0873e-03 eta: 1 day, 13:18:37 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.3275 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9818 loss: 1.9818 2022/07/28 07:03:02 - mmengine - INFO - Epoch(train) [90][3720/3757] lr: 5.0873e-03 eta: 1 day, 13:18:29 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 7.2087 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6226 loss: 1.6226 2022/07/28 07:03:10 - mmengine - INFO - Epoch(train) [90][3740/3757] lr: 5.0873e-03 eta: 1 day, 13:18:21 time: 0.3961 data_time: 0.0152 memory: 17007 grad_norm: 7.1214 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1842 loss: 2.1842 2022/07/28 07:03:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:03:16 - mmengine - INFO - Epoch(train) [90][3757/3757] lr: 5.0873e-03 eta: 1 day, 13:18:21 time: 0.3917 data_time: 0.0164 memory: 17007 grad_norm: 7.4586 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.0573 loss: 2.0573 2022/07/28 07:03:16 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/07/28 07:03:28 - mmengine - INFO - Epoch(train) [91][20/3757] lr: 5.0000e-03 eta: 1 day, 13:18:01 time: 0.4660 data_time: 0.0832 memory: 17007 grad_norm: 7.1069 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9417 loss: 1.9417 2022/07/28 07:03:36 - mmengine - INFO - Epoch(train) [91][40/3757] lr: 5.0000e-03 eta: 1 day, 13:17:53 time: 0.3960 data_time: 0.0161 memory: 17007 grad_norm: 7.5441 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1481 loss: 2.1481 2022/07/28 07:03:44 - mmengine - INFO - Epoch(train) [91][60/3757] lr: 5.0000e-03 eta: 1 day, 13:17:45 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 7.4555 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7834 loss: 1.7834 2022/07/28 07:03:52 - mmengine - INFO - Epoch(train) [91][80/3757] lr: 5.0000e-03 eta: 1 day, 13:17:37 time: 0.3953 data_time: 0.0162 memory: 17007 grad_norm: 6.9986 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8188 loss: 1.8188 2022/07/28 07:04:00 - mmengine - INFO - Epoch(train) [91][100/3757] lr: 5.0000e-03 eta: 1 day, 13:17:29 time: 0.4030 data_time: 0.0141 memory: 17007 grad_norm: 7.3541 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3505 loss: 2.3505 2022/07/28 07:04:08 - mmengine - INFO - Epoch(train) [91][120/3757] lr: 5.0000e-03 eta: 1 day, 13:17:21 time: 0.3956 data_time: 0.0162 memory: 17007 grad_norm: 7.3225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7930 loss: 1.7930 2022/07/28 07:04:16 - mmengine - INFO - Epoch(train) [91][140/3757] lr: 5.0000e-03 eta: 1 day, 13:17:13 time: 0.3946 data_time: 0.0149 memory: 17007 grad_norm: 7.3032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8908 loss: 1.8908 2022/07/28 07:04:24 - mmengine - INFO - Epoch(train) [91][160/3757] lr: 5.0000e-03 eta: 1 day, 13:17:05 time: 0.3968 data_time: 0.0177 memory: 17007 grad_norm: 7.5890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1029 loss: 2.1029 2022/07/28 07:04:32 - mmengine - INFO - Epoch(train) [91][180/3757] lr: 5.0000e-03 eta: 1 day, 13:16:57 time: 0.3927 data_time: 0.0150 memory: 17007 grad_norm: 7.3057 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7235 loss: 1.7235 2022/07/28 07:04:40 - mmengine - INFO - Epoch(train) [91][200/3757] lr: 5.0000e-03 eta: 1 day, 13:16:49 time: 0.3968 data_time: 0.0152 memory: 17007 grad_norm: 7.4498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0977 loss: 2.0977 2022/07/28 07:04:47 - mmengine - INFO - Epoch(train) [91][220/3757] lr: 5.0000e-03 eta: 1 day, 13:16:41 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 7.1819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0038 loss: 2.0038 2022/07/28 07:04:55 - mmengine - INFO - Epoch(train) [91][240/3757] lr: 5.0000e-03 eta: 1 day, 13:16:33 time: 0.3961 data_time: 0.0157 memory: 17007 grad_norm: 7.0999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9960 loss: 1.9960 2022/07/28 07:05:03 - mmengine - INFO - Epoch(train) [91][260/3757] lr: 5.0000e-03 eta: 1 day, 13:16:25 time: 0.4010 data_time: 0.0150 memory: 17007 grad_norm: 7.5256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0862 loss: 2.0862 2022/07/28 07:05:11 - mmengine - INFO - Epoch(train) [91][280/3757] lr: 5.0000e-03 eta: 1 day, 13:16:17 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 7.2971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0679 loss: 2.0679 2022/07/28 07:05:19 - mmengine - INFO - Epoch(train) [91][300/3757] lr: 5.0000e-03 eta: 1 day, 13:16:10 time: 0.4044 data_time: 0.0160 memory: 17007 grad_norm: 7.3515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1537 loss: 2.1537 2022/07/28 07:05:27 - mmengine - INFO - Epoch(train) [91][320/3757] lr: 5.0000e-03 eta: 1 day, 13:16:02 time: 0.3951 data_time: 0.0150 memory: 17007 grad_norm: 7.3878 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1712 loss: 2.1712 2022/07/28 07:05:35 - mmengine - INFO - Epoch(train) [91][340/3757] lr: 5.0000e-03 eta: 1 day, 13:15:54 time: 0.3973 data_time: 0.0159 memory: 17007 grad_norm: 7.2663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9408 loss: 1.9408 2022/07/28 07:05:43 - mmengine - INFO - Epoch(train) [91][360/3757] lr: 5.0000e-03 eta: 1 day, 13:15:46 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 7.2730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8351 loss: 1.8351 2022/07/28 07:05:51 - mmengine - INFO - Epoch(train) [91][380/3757] lr: 5.0000e-03 eta: 1 day, 13:15:38 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 7.4418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7319 loss: 1.7319 2022/07/28 07:05:59 - mmengine - INFO - Epoch(train) [91][400/3757] lr: 5.0000e-03 eta: 1 day, 13:15:30 time: 0.3965 data_time: 0.0156 memory: 17007 grad_norm: 7.5360 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0650 loss: 2.0650 2022/07/28 07:06:07 - mmengine - INFO - Epoch(train) [91][420/3757] lr: 5.0000e-03 eta: 1 day, 13:15:22 time: 0.3938 data_time: 0.0145 memory: 17007 grad_norm: 7.5991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9262 loss: 1.9262 2022/07/28 07:06:15 - mmengine - INFO - Epoch(train) [91][440/3757] lr: 5.0000e-03 eta: 1 day, 13:15:14 time: 0.4006 data_time: 0.0180 memory: 17007 grad_norm: 7.4881 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9792 loss: 1.9792 2022/07/28 07:06:23 - mmengine - INFO - Epoch(train) [91][460/3757] lr: 5.0000e-03 eta: 1 day, 13:15:06 time: 0.3929 data_time: 0.0147 memory: 17007 grad_norm: 7.7928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8364 loss: 1.8364 2022/07/28 07:06:31 - mmengine - INFO - Epoch(train) [91][480/3757] lr: 5.0000e-03 eta: 1 day, 13:14:58 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 8.6644 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9427 loss: 1.9427 2022/07/28 07:06:39 - mmengine - INFO - Epoch(train) [91][500/3757] lr: 5.0000e-03 eta: 1 day, 13:14:50 time: 0.3980 data_time: 0.0152 memory: 17007 grad_norm: 7.4734 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8810 loss: 1.8810 2022/07/28 07:06:47 - mmengine - INFO - Epoch(train) [91][520/3757] lr: 5.0000e-03 eta: 1 day, 13:14:42 time: 0.3996 data_time: 0.0149 memory: 17007 grad_norm: 7.4397 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0039 loss: 2.0039 2022/07/28 07:06:55 - mmengine - INFO - Epoch(train) [91][540/3757] lr: 5.0000e-03 eta: 1 day, 13:14:34 time: 0.3966 data_time: 0.0150 memory: 17007 grad_norm: 7.3926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2592 loss: 2.2592 2022/07/28 07:07:02 - mmengine - INFO - Epoch(train) [91][560/3757] lr: 5.0000e-03 eta: 1 day, 13:14:26 time: 0.3956 data_time: 0.0161 memory: 17007 grad_norm: 7.3250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8400 loss: 1.8400 2022/07/28 07:07:10 - mmengine - INFO - Epoch(train) [91][580/3757] lr: 5.0000e-03 eta: 1 day, 13:14:18 time: 0.3946 data_time: 0.0143 memory: 17007 grad_norm: 7.4899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1215 loss: 2.1215 2022/07/28 07:07:18 - mmengine - INFO - Epoch(train) [91][600/3757] lr: 5.0000e-03 eta: 1 day, 13:14:10 time: 0.3950 data_time: 0.0179 memory: 17007 grad_norm: 7.4991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8411 loss: 1.8411 2022/07/28 07:07:26 - mmengine - INFO - Epoch(train) [91][620/3757] lr: 5.0000e-03 eta: 1 day, 13:14:02 time: 0.3968 data_time: 0.0144 memory: 17007 grad_norm: 7.6444 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0937 loss: 2.0937 2022/07/28 07:07:34 - mmengine - INFO - Epoch(train) [91][640/3757] lr: 5.0000e-03 eta: 1 day, 13:13:54 time: 0.3981 data_time: 0.0163 memory: 17007 grad_norm: 7.4137 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1661 loss: 2.1661 2022/07/28 07:07:42 - mmengine - INFO - Epoch(train) [91][660/3757] lr: 5.0000e-03 eta: 1 day, 13:13:46 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 7.4848 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1492 loss: 2.1492 2022/07/28 07:07:50 - mmengine - INFO - Epoch(train) [91][680/3757] lr: 5.0000e-03 eta: 1 day, 13:13:38 time: 0.3943 data_time: 0.0147 memory: 17007 grad_norm: 7.3033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8675 loss: 1.8675 2022/07/28 07:07:58 - mmengine - INFO - Epoch(train) [91][700/3757] lr: 5.0000e-03 eta: 1 day, 13:13:31 time: 0.4115 data_time: 0.0159 memory: 17007 grad_norm: 7.5985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9724 loss: 1.9724 2022/07/28 07:08:06 - mmengine - INFO - Epoch(train) [91][720/3757] lr: 5.0000e-03 eta: 1 day, 13:13:23 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 7.2840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8968 loss: 1.8968 2022/07/28 07:08:14 - mmengine - INFO - Epoch(train) [91][740/3757] lr: 5.0000e-03 eta: 1 day, 13:13:15 time: 0.4010 data_time: 0.0151 memory: 17007 grad_norm: 7.5955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8653 loss: 1.8653 2022/07/28 07:08:22 - mmengine - INFO - Epoch(train) [91][760/3757] lr: 5.0000e-03 eta: 1 day, 13:13:07 time: 0.3951 data_time: 0.0151 memory: 17007 grad_norm: 7.0684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0867 loss: 2.0867 2022/07/28 07:08:30 - mmengine - INFO - Epoch(train) [91][780/3757] lr: 5.0000e-03 eta: 1 day, 13:12:59 time: 0.3976 data_time: 0.0149 memory: 17007 grad_norm: 7.3471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9819 loss: 1.9819 2022/07/28 07:08:38 - mmengine - INFO - Epoch(train) [91][800/3757] lr: 5.0000e-03 eta: 1 day, 13:12:51 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 7.2542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8151 loss: 1.8151 2022/07/28 07:08:46 - mmengine - INFO - Epoch(train) [91][820/3757] lr: 5.0000e-03 eta: 1 day, 13:12:43 time: 0.3962 data_time: 0.0154 memory: 17007 grad_norm: 7.3549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7588 loss: 1.7588 2022/07/28 07:08:54 - mmengine - INFO - Epoch(train) [91][840/3757] lr: 5.0000e-03 eta: 1 day, 13:12:35 time: 0.3974 data_time: 0.0152 memory: 17007 grad_norm: 7.5253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7607 loss: 1.7607 2022/07/28 07:09:02 - mmengine - INFO - Epoch(train) [91][860/3757] lr: 5.0000e-03 eta: 1 day, 13:12:27 time: 0.3940 data_time: 0.0146 memory: 17007 grad_norm: 7.2980 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8678 loss: 1.8678 2022/07/28 07:09:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:09:10 - mmengine - INFO - Epoch(train) [91][880/3757] lr: 5.0000e-03 eta: 1 day, 13:12:19 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 7.4141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0407 loss: 2.0407 2022/07/28 07:09:18 - mmengine - INFO - Epoch(train) [91][900/3757] lr: 5.0000e-03 eta: 1 day, 13:12:11 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 7.3419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0168 loss: 2.0168 2022/07/28 07:09:26 - mmengine - INFO - Epoch(train) [91][920/3757] lr: 5.0000e-03 eta: 1 day, 13:12:03 time: 0.3967 data_time: 0.0150 memory: 17007 grad_norm: 7.4694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8487 loss: 1.8487 2022/07/28 07:09:33 - mmengine - INFO - Epoch(train) [91][940/3757] lr: 5.0000e-03 eta: 1 day, 13:11:55 time: 0.3935 data_time: 0.0138 memory: 17007 grad_norm: 7.4392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0688 loss: 2.0688 2022/07/28 07:09:41 - mmengine - INFO - Epoch(train) [91][960/3757] lr: 5.0000e-03 eta: 1 day, 13:11:47 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 7.6115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0323 loss: 2.0323 2022/07/28 07:09:49 - mmengine - INFO - Epoch(train) [91][980/3757] lr: 5.0000e-03 eta: 1 day, 13:11:39 time: 0.4033 data_time: 0.0156 memory: 17007 grad_norm: 7.4355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0017 loss: 2.0017 2022/07/28 07:09:57 - mmengine - INFO - Epoch(train) [91][1000/3757] lr: 5.0000e-03 eta: 1 day, 13:11:31 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 7.5755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9865 loss: 1.9865 2022/07/28 07:10:06 - mmengine - INFO - Epoch(train) [91][1020/3757] lr: 5.0000e-03 eta: 1 day, 13:11:24 time: 0.4167 data_time: 0.0160 memory: 17007 grad_norm: 7.2624 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2144 loss: 2.2144 2022/07/28 07:10:14 - mmengine - INFO - Epoch(train) [91][1040/3757] lr: 5.0000e-03 eta: 1 day, 13:11:16 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 7.4823 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9316 loss: 1.9316 2022/07/28 07:10:21 - mmengine - INFO - Epoch(train) [91][1060/3757] lr: 5.0000e-03 eta: 1 day, 13:11:08 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 7.0529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9288 loss: 1.9288 2022/07/28 07:10:29 - mmengine - INFO - Epoch(train) [91][1080/3757] lr: 5.0000e-03 eta: 1 day, 13:11:00 time: 0.3962 data_time: 0.0156 memory: 17007 grad_norm: 7.3773 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3050 loss: 2.3050 2022/07/28 07:10:37 - mmengine - INFO - Epoch(train) [91][1100/3757] lr: 5.0000e-03 eta: 1 day, 13:10:52 time: 0.3951 data_time: 0.0159 memory: 17007 grad_norm: 7.3159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9617 loss: 1.9617 2022/07/28 07:10:45 - mmengine - INFO - Epoch(train) [91][1120/3757] lr: 5.0000e-03 eta: 1 day, 13:10:44 time: 0.3963 data_time: 0.0165 memory: 17007 grad_norm: 7.4030 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2029 loss: 2.2029 2022/07/28 07:10:53 - mmengine - INFO - Epoch(train) [91][1140/3757] lr: 5.0000e-03 eta: 1 day, 13:10:36 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 7.5563 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2449 loss: 2.2449 2022/07/28 07:11:01 - mmengine - INFO - Epoch(train) [91][1160/3757] lr: 5.0000e-03 eta: 1 day, 13:10:28 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 7.4285 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9406 loss: 1.9406 2022/07/28 07:11:09 - mmengine - INFO - Epoch(train) [91][1180/3757] lr: 5.0000e-03 eta: 1 day, 13:10:20 time: 0.3957 data_time: 0.0157 memory: 17007 grad_norm: 7.6322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8768 loss: 1.8768 2022/07/28 07:11:17 - mmengine - INFO - Epoch(train) [91][1200/3757] lr: 5.0000e-03 eta: 1 day, 13:10:12 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 7.2153 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0039 loss: 2.0039 2022/07/28 07:11:25 - mmengine - INFO - Epoch(train) [91][1220/3757] lr: 5.0000e-03 eta: 1 day, 13:10:04 time: 0.3947 data_time: 0.0150 memory: 17007 grad_norm: 7.1279 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0202 loss: 2.0202 2022/07/28 07:11:33 - mmengine - INFO - Epoch(train) [91][1240/3757] lr: 5.0000e-03 eta: 1 day, 13:09:56 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 7.8280 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1642 loss: 2.1642 2022/07/28 07:11:40 - mmengine - INFO - Epoch(train) [91][1260/3757] lr: 5.0000e-03 eta: 1 day, 13:09:48 time: 0.3926 data_time: 0.0139 memory: 17007 grad_norm: 7.3618 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9891 loss: 1.9891 2022/07/28 07:11:48 - mmengine - INFO - Epoch(train) [91][1280/3757] lr: 5.0000e-03 eta: 1 day, 13:09:40 time: 0.3986 data_time: 0.0166 memory: 17007 grad_norm: 7.3458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9635 loss: 1.9635 2022/07/28 07:11:56 - mmengine - INFO - Epoch(train) [91][1300/3757] lr: 5.0000e-03 eta: 1 day, 13:09:32 time: 0.3942 data_time: 0.0142 memory: 17007 grad_norm: 7.5424 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9574 loss: 1.9574 2022/07/28 07:12:04 - mmengine - INFO - Epoch(train) [91][1320/3757] lr: 5.0000e-03 eta: 1 day, 13:09:24 time: 0.4022 data_time: 0.0163 memory: 17007 grad_norm: 8.2546 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0123 loss: 2.0123 2022/07/28 07:12:12 - mmengine - INFO - Epoch(train) [91][1340/3757] lr: 5.0000e-03 eta: 1 day, 13:09:16 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 7.7283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5861 loss: 1.5861 2022/07/28 07:12:20 - mmengine - INFO - Epoch(train) [91][1360/3757] lr: 5.0000e-03 eta: 1 day, 13:09:08 time: 0.3939 data_time: 0.0145 memory: 17007 grad_norm: 7.4804 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0204 loss: 2.0204 2022/07/28 07:12:28 - mmengine - INFO - Epoch(train) [91][1380/3757] lr: 5.0000e-03 eta: 1 day, 13:09:00 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 7.3944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8877 loss: 1.8877 2022/07/28 07:12:36 - mmengine - INFO - Epoch(train) [91][1400/3757] lr: 5.0000e-03 eta: 1 day, 13:08:52 time: 0.3975 data_time: 0.0167 memory: 17007 grad_norm: 7.6798 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1182 loss: 2.1182 2022/07/28 07:12:44 - mmengine - INFO - Epoch(train) [91][1420/3757] lr: 5.0000e-03 eta: 1 day, 13:08:44 time: 0.3982 data_time: 0.0144 memory: 17007 grad_norm: 7.4722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7722 loss: 1.7722 2022/07/28 07:12:52 - mmengine - INFO - Epoch(train) [91][1440/3757] lr: 5.0000e-03 eta: 1 day, 13:08:36 time: 0.3948 data_time: 0.0159 memory: 17007 grad_norm: 7.4743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0405 loss: 2.0405 2022/07/28 07:13:00 - mmengine - INFO - Epoch(train) [91][1460/3757] lr: 5.0000e-03 eta: 1 day, 13:08:28 time: 0.3957 data_time: 0.0153 memory: 17007 grad_norm: 7.5833 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7645 loss: 1.7645 2022/07/28 07:13:08 - mmengine - INFO - Epoch(train) [91][1480/3757] lr: 5.0000e-03 eta: 1 day, 13:08:20 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 7.6077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6134 loss: 1.6134 2022/07/28 07:13:16 - mmengine - INFO - Epoch(train) [91][1500/3757] lr: 5.0000e-03 eta: 1 day, 13:08:12 time: 0.3965 data_time: 0.0149 memory: 17007 grad_norm: 7.7642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9503 loss: 1.9503 2022/07/28 07:13:23 - mmengine - INFO - Epoch(train) [91][1520/3757] lr: 5.0000e-03 eta: 1 day, 13:08:04 time: 0.3935 data_time: 0.0156 memory: 17007 grad_norm: 7.5529 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1032 loss: 2.1032 2022/07/28 07:13:31 - mmengine - INFO - Epoch(train) [91][1540/3757] lr: 5.0000e-03 eta: 1 day, 13:07:56 time: 0.3939 data_time: 0.0149 memory: 17007 grad_norm: 7.2020 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1973 loss: 2.1973 2022/07/28 07:13:39 - mmengine - INFO - Epoch(train) [91][1560/3757] lr: 5.0000e-03 eta: 1 day, 13:07:48 time: 0.3960 data_time: 0.0172 memory: 17007 grad_norm: 7.1873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6927 loss: 1.6927 2022/07/28 07:13:47 - mmengine - INFO - Epoch(train) [91][1580/3757] lr: 5.0000e-03 eta: 1 day, 13:07:40 time: 0.3940 data_time: 0.0147 memory: 17007 grad_norm: 7.6985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0889 loss: 2.0889 2022/07/28 07:13:55 - mmengine - INFO - Epoch(train) [91][1600/3757] lr: 5.0000e-03 eta: 1 day, 13:07:32 time: 0.3963 data_time: 0.0163 memory: 17007 grad_norm: 7.2223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7059 loss: 1.7059 2022/07/28 07:14:03 - mmengine - INFO - Epoch(train) [91][1620/3757] lr: 5.0000e-03 eta: 1 day, 13:07:24 time: 0.3947 data_time: 0.0152 memory: 17007 grad_norm: 7.4251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5048 loss: 1.5048 2022/07/28 07:14:11 - mmengine - INFO - Epoch(train) [91][1640/3757] lr: 5.0000e-03 eta: 1 day, 13:07:16 time: 0.3924 data_time: 0.0142 memory: 17007 grad_norm: 7.5517 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8926 loss: 1.8926 2022/07/28 07:14:19 - mmengine - INFO - Epoch(train) [91][1660/3757] lr: 5.0000e-03 eta: 1 day, 13:07:08 time: 0.3985 data_time: 0.0189 memory: 17007 grad_norm: 7.5038 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3403 loss: 2.3403 2022/07/28 07:14:27 - mmengine - INFO - Epoch(train) [91][1680/3757] lr: 5.0000e-03 eta: 1 day, 13:07:00 time: 0.3946 data_time: 0.0152 memory: 17007 grad_norm: 7.5082 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0899 loss: 2.0899 2022/07/28 07:14:35 - mmengine - INFO - Epoch(train) [91][1700/3757] lr: 5.0000e-03 eta: 1 day, 13:06:52 time: 0.3952 data_time: 0.0157 memory: 17007 grad_norm: 7.3210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9273 loss: 1.9273 2022/07/28 07:14:43 - mmengine - INFO - Epoch(train) [91][1720/3757] lr: 5.0000e-03 eta: 1 day, 13:06:44 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 7.3471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0582 loss: 2.0582 2022/07/28 07:14:50 - mmengine - INFO - Epoch(train) [91][1740/3757] lr: 5.0000e-03 eta: 1 day, 13:06:36 time: 0.3949 data_time: 0.0146 memory: 17007 grad_norm: 7.6993 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0573 loss: 2.0573 2022/07/28 07:14:58 - mmengine - INFO - Epoch(train) [91][1760/3757] lr: 5.0000e-03 eta: 1 day, 13:06:28 time: 0.3967 data_time: 0.0172 memory: 17007 grad_norm: 7.5721 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3152 loss: 2.3152 2022/07/28 07:15:06 - mmengine - INFO - Epoch(train) [91][1780/3757] lr: 5.0000e-03 eta: 1 day, 13:06:20 time: 0.3927 data_time: 0.0134 memory: 17007 grad_norm: 7.4888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9028 loss: 1.9028 2022/07/28 07:15:14 - mmengine - INFO - Epoch(train) [91][1800/3757] lr: 5.0000e-03 eta: 1 day, 13:06:12 time: 0.3954 data_time: 0.0165 memory: 17007 grad_norm: 7.6506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8181 loss: 1.8181 2022/07/28 07:15:22 - mmengine - INFO - Epoch(train) [91][1820/3757] lr: 5.0000e-03 eta: 1 day, 13:06:04 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 7.5972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9265 loss: 1.9265 2022/07/28 07:15:30 - mmengine - INFO - Epoch(train) [91][1840/3757] lr: 5.0000e-03 eta: 1 day, 13:05:56 time: 0.3959 data_time: 0.0149 memory: 17007 grad_norm: 7.5985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2305 loss: 2.2305 2022/07/28 07:15:38 - mmengine - INFO - Epoch(train) [91][1860/3757] lr: 5.0000e-03 eta: 1 day, 13:05:48 time: 0.3965 data_time: 0.0171 memory: 17007 grad_norm: 7.6177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4255 loss: 2.4255 2022/07/28 07:15:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:15:46 - mmengine - INFO - Epoch(train) [91][1880/3757] lr: 5.0000e-03 eta: 1 day, 13:05:40 time: 0.3943 data_time: 0.0159 memory: 17007 grad_norm: 7.6773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0115 loss: 2.0115 2022/07/28 07:15:54 - mmengine - INFO - Epoch(train) [91][1900/3757] lr: 5.0000e-03 eta: 1 day, 13:05:32 time: 0.3941 data_time: 0.0140 memory: 17007 grad_norm: 7.5003 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2294 loss: 2.2294 2022/07/28 07:16:02 - mmengine - INFO - Epoch(train) [91][1920/3757] lr: 5.0000e-03 eta: 1 day, 13:05:24 time: 0.3967 data_time: 0.0163 memory: 17007 grad_norm: 7.4817 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0136 loss: 2.0136 2022/07/28 07:16:10 - mmengine - INFO - Epoch(train) [91][1940/3757] lr: 5.0000e-03 eta: 1 day, 13:05:16 time: 0.3930 data_time: 0.0133 memory: 17007 grad_norm: 7.1542 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2409 loss: 2.2409 2022/07/28 07:16:18 - mmengine - INFO - Epoch(train) [91][1960/3757] lr: 5.0000e-03 eta: 1 day, 13:05:08 time: 0.3982 data_time: 0.0164 memory: 17007 grad_norm: 7.8218 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2795 loss: 2.2795 2022/07/28 07:16:25 - mmengine - INFO - Epoch(train) [91][1980/3757] lr: 5.0000e-03 eta: 1 day, 13:05:00 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 7.4536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8469 loss: 1.8469 2022/07/28 07:16:33 - mmengine - INFO - Epoch(train) [91][2000/3757] lr: 5.0000e-03 eta: 1 day, 13:04:52 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 7.4946 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0284 loss: 2.0284 2022/07/28 07:16:41 - mmengine - INFO - Epoch(train) [91][2020/3757] lr: 5.0000e-03 eta: 1 day, 13:04:44 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 7.4238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8750 loss: 1.8750 2022/07/28 07:16:49 - mmengine - INFO - Epoch(train) [91][2040/3757] lr: 5.0000e-03 eta: 1 day, 13:04:37 time: 0.4023 data_time: 0.0159 memory: 17007 grad_norm: 7.5710 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1581 loss: 2.1581 2022/07/28 07:16:57 - mmengine - INFO - Epoch(train) [91][2060/3757] lr: 5.0000e-03 eta: 1 day, 13:04:29 time: 0.3986 data_time: 0.0141 memory: 17007 grad_norm: 7.2534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7825 loss: 1.7825 2022/07/28 07:17:05 - mmengine - INFO - Epoch(train) [91][2080/3757] lr: 5.0000e-03 eta: 1 day, 13:04:21 time: 0.3962 data_time: 0.0158 memory: 17007 grad_norm: 7.6916 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7410 loss: 1.7410 2022/07/28 07:17:13 - mmengine - INFO - Epoch(train) [91][2100/3757] lr: 5.0000e-03 eta: 1 day, 13:04:13 time: 0.3934 data_time: 0.0141 memory: 17007 grad_norm: 7.2068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7698 loss: 1.7698 2022/07/28 07:17:21 - mmengine - INFO - Epoch(train) [91][2120/3757] lr: 5.0000e-03 eta: 1 day, 13:04:05 time: 0.3980 data_time: 0.0151 memory: 17007 grad_norm: 7.7441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9048 loss: 1.9048 2022/07/28 07:17:29 - mmengine - INFO - Epoch(train) [91][2140/3757] lr: 5.0000e-03 eta: 1 day, 13:03:57 time: 0.3936 data_time: 0.0141 memory: 17007 grad_norm: 7.3993 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9363 loss: 1.9363 2022/07/28 07:17:37 - mmengine - INFO - Epoch(train) [91][2160/3757] lr: 5.0000e-03 eta: 1 day, 13:03:49 time: 0.4025 data_time: 0.0163 memory: 17007 grad_norm: 7.6170 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0956 loss: 2.0956 2022/07/28 07:17:45 - mmengine - INFO - Epoch(train) [91][2180/3757] lr: 5.0000e-03 eta: 1 day, 13:03:41 time: 0.3937 data_time: 0.0141 memory: 17007 grad_norm: 7.3505 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7923 loss: 1.7923 2022/07/28 07:17:53 - mmengine - INFO - Epoch(train) [91][2200/3757] lr: 5.0000e-03 eta: 1 day, 13:03:33 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 7.6767 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9354 loss: 1.9354 2022/07/28 07:18:01 - mmengine - INFO - Epoch(train) [91][2220/3757] lr: 5.0000e-03 eta: 1 day, 13:03:25 time: 0.3969 data_time: 0.0160 memory: 17007 grad_norm: 7.3735 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8529 loss: 1.8529 2022/07/28 07:18:09 - mmengine - INFO - Epoch(train) [91][2240/3757] lr: 5.0000e-03 eta: 1 day, 13:03:17 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 7.4267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7533 loss: 1.7533 2022/07/28 07:18:17 - mmengine - INFO - Epoch(train) [91][2260/3757] lr: 5.0000e-03 eta: 1 day, 13:03:09 time: 0.3984 data_time: 0.0155 memory: 17007 grad_norm: 7.3817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9592 loss: 1.9592 2022/07/28 07:18:25 - mmengine - INFO - Epoch(train) [91][2280/3757] lr: 5.0000e-03 eta: 1 day, 13:03:01 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.3774 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4204 loss: 2.4204 2022/07/28 07:18:32 - mmengine - INFO - Epoch(train) [91][2300/3757] lr: 5.0000e-03 eta: 1 day, 13:02:53 time: 0.3938 data_time: 0.0145 memory: 17007 grad_norm: 7.5648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9847 loss: 1.9847 2022/07/28 07:18:40 - mmengine - INFO - Epoch(train) [91][2320/3757] lr: 5.0000e-03 eta: 1 day, 13:02:45 time: 0.3970 data_time: 0.0159 memory: 17007 grad_norm: 7.1084 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7534 loss: 1.7534 2022/07/28 07:18:48 - mmengine - INFO - Epoch(train) [91][2340/3757] lr: 5.0000e-03 eta: 1 day, 13:02:37 time: 0.4017 data_time: 0.0160 memory: 17007 grad_norm: 7.4015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0575 loss: 2.0575 2022/07/28 07:18:56 - mmengine - INFO - Epoch(train) [91][2360/3757] lr: 5.0000e-03 eta: 1 day, 13:02:29 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 7.2265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6806 loss: 1.6806 2022/07/28 07:19:04 - mmengine - INFO - Epoch(train) [91][2380/3757] lr: 5.0000e-03 eta: 1 day, 13:02:21 time: 0.4007 data_time: 0.0174 memory: 17007 grad_norm: 7.3638 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0293 loss: 2.0293 2022/07/28 07:19:12 - mmengine - INFO - Epoch(train) [91][2400/3757] lr: 5.0000e-03 eta: 1 day, 13:02:13 time: 0.3953 data_time: 0.0159 memory: 17007 grad_norm: 7.4325 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0820 loss: 2.0820 2022/07/28 07:19:20 - mmengine - INFO - Epoch(train) [91][2420/3757] lr: 5.0000e-03 eta: 1 day, 13:02:05 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 7.8768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7272 loss: 1.7272 2022/07/28 07:19:28 - mmengine - INFO - Epoch(train) [91][2440/3757] lr: 5.0000e-03 eta: 1 day, 13:01:58 time: 0.4059 data_time: 0.0177 memory: 17007 grad_norm: 7.3993 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8510 loss: 1.8510 2022/07/28 07:19:36 - mmengine - INFO - Epoch(train) [91][2460/3757] lr: 5.0000e-03 eta: 1 day, 13:01:50 time: 0.3929 data_time: 0.0144 memory: 17007 grad_norm: 7.4317 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2623 loss: 2.2623 2022/07/28 07:19:44 - mmengine - INFO - Epoch(train) [91][2480/3757] lr: 5.0000e-03 eta: 1 day, 13:01:42 time: 0.3950 data_time: 0.0163 memory: 17007 grad_norm: 7.5081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1642 loss: 2.1642 2022/07/28 07:19:52 - mmengine - INFO - Epoch(train) [91][2500/3757] lr: 5.0000e-03 eta: 1 day, 13:01:34 time: 0.4109 data_time: 0.0160 memory: 17007 grad_norm: 7.4328 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1543 loss: 2.1543 2022/07/28 07:20:00 - mmengine - INFO - Epoch(train) [91][2520/3757] lr: 5.0000e-03 eta: 1 day, 13:01:26 time: 0.3928 data_time: 0.0156 memory: 17007 grad_norm: 7.1993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8657 loss: 1.8657 2022/07/28 07:20:08 - mmengine - INFO - Epoch(train) [91][2540/3757] lr: 5.0000e-03 eta: 1 day, 13:01:18 time: 0.4168 data_time: 0.0161 memory: 17007 grad_norm: 7.1492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/07/28 07:20:16 - mmengine - INFO - Epoch(train) [91][2560/3757] lr: 5.0000e-03 eta: 1 day, 13:01:10 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 7.4659 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9826 loss: 1.9826 2022/07/28 07:20:24 - mmengine - INFO - Epoch(train) [91][2580/3757] lr: 5.0000e-03 eta: 1 day, 13:01:02 time: 0.3940 data_time: 0.0141 memory: 17007 grad_norm: 7.4919 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0081 loss: 2.0081 2022/07/28 07:20:32 - mmengine - INFO - Epoch(train) [91][2600/3757] lr: 5.0000e-03 eta: 1 day, 13:00:54 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 7.5458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0939 loss: 2.0939 2022/07/28 07:20:40 - mmengine - INFO - Epoch(train) [91][2620/3757] lr: 5.0000e-03 eta: 1 day, 13:00:46 time: 0.3937 data_time: 0.0138 memory: 17007 grad_norm: 7.2795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9935 loss: 1.9935 2022/07/28 07:20:48 - mmengine - INFO - Epoch(train) [91][2640/3757] lr: 5.0000e-03 eta: 1 day, 13:00:38 time: 0.4026 data_time: 0.0170 memory: 17007 grad_norm: 7.2791 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7939 loss: 1.7939 2022/07/28 07:20:56 - mmengine - INFO - Epoch(train) [91][2660/3757] lr: 5.0000e-03 eta: 1 day, 13:00:30 time: 0.3940 data_time: 0.0139 memory: 17007 grad_norm: 7.4391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0818 loss: 2.0818 2022/07/28 07:21:04 - mmengine - INFO - Epoch(train) [91][2680/3757] lr: 5.0000e-03 eta: 1 day, 13:00:22 time: 0.3933 data_time: 0.0154 memory: 17007 grad_norm: 7.3733 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9760 loss: 1.9760 2022/07/28 07:21:12 - mmengine - INFO - Epoch(train) [91][2700/3757] lr: 5.0000e-03 eta: 1 day, 13:00:15 time: 0.4009 data_time: 0.0143 memory: 17007 grad_norm: 7.4238 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9114 loss: 1.9114 2022/07/28 07:21:20 - mmengine - INFO - Epoch(train) [91][2720/3757] lr: 5.0000e-03 eta: 1 day, 13:00:07 time: 0.3964 data_time: 0.0161 memory: 17007 grad_norm: 7.5247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9436 loss: 1.9436 2022/07/28 07:21:28 - mmengine - INFO - Epoch(train) [91][2740/3757] lr: 5.0000e-03 eta: 1 day, 12:59:59 time: 0.3930 data_time: 0.0137 memory: 17007 grad_norm: 7.5485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0027 loss: 2.0027 2022/07/28 07:21:36 - mmengine - INFO - Epoch(train) [91][2760/3757] lr: 5.0000e-03 eta: 1 day, 12:59:51 time: 0.3961 data_time: 0.0166 memory: 17007 grad_norm: 7.3958 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8937 loss: 1.8937 2022/07/28 07:21:43 - mmengine - INFO - Epoch(train) [91][2780/3757] lr: 5.0000e-03 eta: 1 day, 12:59:43 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 7.5325 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9099 loss: 1.9099 2022/07/28 07:21:51 - mmengine - INFO - Epoch(train) [91][2800/3757] lr: 5.0000e-03 eta: 1 day, 12:59:35 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 7.3606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9577 loss: 1.9577 2022/07/28 07:21:59 - mmengine - INFO - Epoch(train) [91][2820/3757] lr: 5.0000e-03 eta: 1 day, 12:59:27 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 7.4984 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7210 loss: 1.7210 2022/07/28 07:22:07 - mmengine - INFO - Epoch(train) [91][2840/3757] lr: 5.0000e-03 eta: 1 day, 12:59:19 time: 0.3953 data_time: 0.0159 memory: 17007 grad_norm: 7.1351 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9375 loss: 1.9375 2022/07/28 07:22:15 - mmengine - INFO - Epoch(train) [91][2860/3757] lr: 5.0000e-03 eta: 1 day, 12:59:11 time: 0.3967 data_time: 0.0154 memory: 17007 grad_norm: 7.3424 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1451 loss: 2.1451 2022/07/28 07:22:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:22:23 - mmengine - INFO - Epoch(train) [91][2880/3757] lr: 5.0000e-03 eta: 1 day, 12:59:03 time: 0.3941 data_time: 0.0160 memory: 17007 grad_norm: 7.4247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7535 loss: 1.7535 2022/07/28 07:22:31 - mmengine - INFO - Epoch(train) [91][2900/3757] lr: 5.0000e-03 eta: 1 day, 12:58:55 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.2088 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0162 loss: 2.0162 2022/07/28 07:22:39 - mmengine - INFO - Epoch(train) [91][2920/3757] lr: 5.0000e-03 eta: 1 day, 12:58:47 time: 0.3969 data_time: 0.0161 memory: 17007 grad_norm: 7.2196 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9689 loss: 1.9689 2022/07/28 07:22:47 - mmengine - INFO - Epoch(train) [91][2940/3757] lr: 5.0000e-03 eta: 1 day, 12:58:39 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 7.6001 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0517 loss: 2.0517 2022/07/28 07:22:55 - mmengine - INFO - Epoch(train) [91][2960/3757] lr: 5.0000e-03 eta: 1 day, 12:58:31 time: 0.3965 data_time: 0.0145 memory: 17007 grad_norm: 7.4735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9492 loss: 1.9492 2022/07/28 07:23:03 - mmengine - INFO - Epoch(train) [91][2980/3757] lr: 5.0000e-03 eta: 1 day, 12:58:23 time: 0.3931 data_time: 0.0127 memory: 17007 grad_norm: 7.6213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9569 loss: 1.9569 2022/07/28 07:23:10 - mmengine - INFO - Epoch(train) [91][3000/3757] lr: 5.0000e-03 eta: 1 day, 12:58:15 time: 0.3945 data_time: 0.0150 memory: 17007 grad_norm: 7.4587 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9481 loss: 1.9481 2022/07/28 07:23:19 - mmengine - INFO - Epoch(train) [91][3020/3757] lr: 5.0000e-03 eta: 1 day, 12:58:07 time: 0.4017 data_time: 0.0157 memory: 17007 grad_norm: 7.3976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0312 loss: 2.0312 2022/07/28 07:23:26 - mmengine - INFO - Epoch(train) [91][3040/3757] lr: 5.0000e-03 eta: 1 day, 12:57:59 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 7.6239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0945 loss: 2.0945 2022/07/28 07:23:34 - mmengine - INFO - Epoch(train) [91][3060/3757] lr: 5.0000e-03 eta: 1 day, 12:57:51 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 7.5698 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1199 loss: 2.1199 2022/07/28 07:23:42 - mmengine - INFO - Epoch(train) [91][3080/3757] lr: 5.0000e-03 eta: 1 day, 12:57:43 time: 0.4063 data_time: 0.0154 memory: 17007 grad_norm: 7.6774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2169 loss: 2.2169 2022/07/28 07:23:50 - mmengine - INFO - Epoch(train) [91][3100/3757] lr: 5.0000e-03 eta: 1 day, 12:57:35 time: 0.3929 data_time: 0.0140 memory: 17007 grad_norm: 7.3461 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7818 loss: 1.7818 2022/07/28 07:23:58 - mmengine - INFO - Epoch(train) [91][3120/3757] lr: 5.0000e-03 eta: 1 day, 12:57:27 time: 0.3975 data_time: 0.0163 memory: 17007 grad_norm: 7.2037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1194 loss: 2.1194 2022/07/28 07:24:06 - mmengine - INFO - Epoch(train) [91][3140/3757] lr: 5.0000e-03 eta: 1 day, 12:57:19 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 7.5320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9176 loss: 1.9176 2022/07/28 07:24:14 - mmengine - INFO - Epoch(train) [91][3160/3757] lr: 5.0000e-03 eta: 1 day, 12:57:11 time: 0.3924 data_time: 0.0151 memory: 17007 grad_norm: 7.3333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9895 loss: 1.9895 2022/07/28 07:24:22 - mmengine - INFO - Epoch(train) [91][3180/3757] lr: 5.0000e-03 eta: 1 day, 12:57:03 time: 0.4116 data_time: 0.0144 memory: 17007 grad_norm: 7.2149 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8486 loss: 1.8486 2022/07/28 07:24:30 - mmengine - INFO - Epoch(train) [91][3200/3757] lr: 5.0000e-03 eta: 1 day, 12:56:55 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 7.7119 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3415 loss: 2.3415 2022/07/28 07:24:38 - mmengine - INFO - Epoch(train) [91][3220/3757] lr: 5.0000e-03 eta: 1 day, 12:56:47 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 7.7108 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8138 loss: 1.8138 2022/07/28 07:24:46 - mmengine - INFO - Epoch(train) [91][3240/3757] lr: 5.0000e-03 eta: 1 day, 12:56:39 time: 0.3940 data_time: 0.0146 memory: 17007 grad_norm: 7.4108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0097 loss: 2.0097 2022/07/28 07:24:54 - mmengine - INFO - Epoch(train) [91][3260/3757] lr: 5.0000e-03 eta: 1 day, 12:56:31 time: 0.3954 data_time: 0.0146 memory: 17007 grad_norm: 7.5488 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0910 loss: 2.0910 2022/07/28 07:25:02 - mmengine - INFO - Epoch(train) [91][3280/3757] lr: 5.0000e-03 eta: 1 day, 12:56:23 time: 0.3944 data_time: 0.0165 memory: 17007 grad_norm: 7.5041 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8739 loss: 1.8739 2022/07/28 07:25:10 - mmengine - INFO - Epoch(train) [91][3300/3757] lr: 5.0000e-03 eta: 1 day, 12:56:15 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 7.4160 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2430 loss: 2.2430 2022/07/28 07:25:18 - mmengine - INFO - Epoch(train) [91][3320/3757] lr: 5.0000e-03 eta: 1 day, 12:56:07 time: 0.3968 data_time: 0.0168 memory: 17007 grad_norm: 8.1716 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2503 loss: 2.2503 2022/07/28 07:25:25 - mmengine - INFO - Epoch(train) [91][3340/3757] lr: 5.0000e-03 eta: 1 day, 12:55:59 time: 0.3929 data_time: 0.0153 memory: 17007 grad_norm: 7.2919 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1581 loss: 2.1581 2022/07/28 07:25:33 - mmengine - INFO - Epoch(train) [91][3360/3757] lr: 5.0000e-03 eta: 1 day, 12:55:51 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 7.2232 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0643 loss: 2.0643 2022/07/28 07:25:41 - mmengine - INFO - Epoch(train) [91][3380/3757] lr: 5.0000e-03 eta: 1 day, 12:55:43 time: 0.3974 data_time: 0.0152 memory: 17007 grad_norm: 7.3458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9306 loss: 1.9306 2022/07/28 07:25:49 - mmengine - INFO - Epoch(train) [91][3400/3757] lr: 5.0000e-03 eta: 1 day, 12:55:36 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 7.4285 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2054 loss: 2.2054 2022/07/28 07:25:57 - mmengine - INFO - Epoch(train) [91][3420/3757] lr: 5.0000e-03 eta: 1 day, 12:55:28 time: 0.3951 data_time: 0.0159 memory: 17007 grad_norm: 7.2088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8183 loss: 1.8183 2022/07/28 07:26:05 - mmengine - INFO - Epoch(train) [91][3440/3757] lr: 5.0000e-03 eta: 1 day, 12:55:20 time: 0.3974 data_time: 0.0164 memory: 17007 grad_norm: 7.4260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9163 loss: 1.9163 2022/07/28 07:26:13 - mmengine - INFO - Epoch(train) [91][3460/3757] lr: 5.0000e-03 eta: 1 day, 12:55:12 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 7.1317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6839 loss: 1.6839 2022/07/28 07:26:21 - mmengine - INFO - Epoch(train) [91][3480/3757] lr: 5.0000e-03 eta: 1 day, 12:55:04 time: 0.3982 data_time: 0.0155 memory: 17007 grad_norm: 7.2496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0538 loss: 2.0538 2022/07/28 07:26:29 - mmengine - INFO - Epoch(train) [91][3500/3757] lr: 5.0000e-03 eta: 1 day, 12:54:56 time: 0.3936 data_time: 0.0150 memory: 17007 grad_norm: 7.3767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9830 loss: 1.9830 2022/07/28 07:26:37 - mmengine - INFO - Epoch(train) [91][3520/3757] lr: 5.0000e-03 eta: 1 day, 12:54:48 time: 0.3949 data_time: 0.0157 memory: 17007 grad_norm: 7.5001 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9397 loss: 1.9397 2022/07/28 07:26:45 - mmengine - INFO - Epoch(train) [91][3540/3757] lr: 5.0000e-03 eta: 1 day, 12:54:40 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 7.8899 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8029 loss: 1.8029 2022/07/28 07:26:52 - mmengine - INFO - Epoch(train) [91][3560/3757] lr: 5.0000e-03 eta: 1 day, 12:54:32 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 7.3255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5114 loss: 2.5114 2022/07/28 07:27:00 - mmengine - INFO - Epoch(train) [91][3580/3757] lr: 5.0000e-03 eta: 1 day, 12:54:24 time: 0.3997 data_time: 0.0152 memory: 17007 grad_norm: 7.3722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9815 loss: 1.9815 2022/07/28 07:27:08 - mmengine - INFO - Epoch(train) [91][3600/3757] lr: 5.0000e-03 eta: 1 day, 12:54:16 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 7.4011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8747 loss: 1.8747 2022/07/28 07:27:16 - mmengine - INFO - Epoch(train) [91][3620/3757] lr: 5.0000e-03 eta: 1 day, 12:54:08 time: 0.3941 data_time: 0.0155 memory: 17007 grad_norm: 7.4448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0989 loss: 2.0989 2022/07/28 07:27:24 - mmengine - INFO - Epoch(train) [91][3640/3757] lr: 5.0000e-03 eta: 1 day, 12:54:00 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 7.4897 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1442 loss: 2.1442 2022/07/28 07:27:32 - mmengine - INFO - Epoch(train) [91][3660/3757] lr: 5.0000e-03 eta: 1 day, 12:53:52 time: 0.4031 data_time: 0.0144 memory: 17007 grad_norm: 7.4330 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1517 loss: 2.1517 2022/07/28 07:27:40 - mmengine - INFO - Epoch(train) [91][3680/3757] lr: 5.0000e-03 eta: 1 day, 12:53:44 time: 0.3967 data_time: 0.0170 memory: 17007 grad_norm: 7.2687 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7622 loss: 1.7622 2022/07/28 07:27:48 - mmengine - INFO - Epoch(train) [91][3700/3757] lr: 5.0000e-03 eta: 1 day, 12:53:36 time: 0.3943 data_time: 0.0144 memory: 17007 grad_norm: 7.5441 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9102 loss: 1.9102 2022/07/28 07:27:56 - mmengine - INFO - Epoch(train) [91][3720/3757] lr: 5.0000e-03 eta: 1 day, 12:53:28 time: 0.3934 data_time: 0.0157 memory: 17007 grad_norm: 7.3528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2981 loss: 2.2981 2022/07/28 07:28:04 - mmengine - INFO - Epoch(train) [91][3740/3757] lr: 5.0000e-03 eta: 1 day, 12:53:20 time: 0.3934 data_time: 0.0147 memory: 17007 grad_norm: 7.3590 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1199 loss: 2.1199 2022/07/28 07:28:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:28:10 - mmengine - INFO - Epoch(train) [91][3757/3757] lr: 5.0000e-03 eta: 1 day, 12:53:20 time: 0.3898 data_time: 0.0150 memory: 17007 grad_norm: 7.2640 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6795 loss: 1.6795 2022/07/28 07:28:10 - mmengine - INFO - Saving checkpoint at 91 epochs 2022/07/28 07:28:21 - mmengine - INFO - Epoch(train) [92][20/3757] lr: 4.9127e-03 eta: 1 day, 12:53:00 time: 0.4409 data_time: 0.0602 memory: 17007 grad_norm: 7.2547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9476 loss: 1.9476 2022/07/28 07:28:29 - mmengine - INFO - Epoch(train) [92][40/3757] lr: 4.9127e-03 eta: 1 day, 12:52:52 time: 0.3954 data_time: 0.0155 memory: 17007 grad_norm: 7.1607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6807 loss: 1.6807 2022/07/28 07:28:37 - mmengine - INFO - Epoch(train) [92][60/3757] lr: 4.9127e-03 eta: 1 day, 12:52:44 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 7.3800 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1251 loss: 2.1251 2022/07/28 07:28:45 - mmengine - INFO - Epoch(train) [92][80/3757] lr: 4.9127e-03 eta: 1 day, 12:52:35 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 7.1855 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0067 loss: 2.0067 2022/07/28 07:28:53 - mmengine - INFO - Epoch(train) [92][100/3757] lr: 4.9127e-03 eta: 1 day, 12:52:27 time: 0.3938 data_time: 0.0135 memory: 17007 grad_norm: 7.4618 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0902 loss: 2.0902 2022/07/28 07:28:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:29:01 - mmengine - INFO - Epoch(train) [92][120/3757] lr: 4.9127e-03 eta: 1 day, 12:52:20 time: 0.3986 data_time: 0.0159 memory: 17007 grad_norm: 7.2953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8428 loss: 1.8428 2022/07/28 07:29:09 - mmengine - INFO - Epoch(train) [92][140/3757] lr: 4.9127e-03 eta: 1 day, 12:52:12 time: 0.3935 data_time: 0.0133 memory: 17007 grad_norm: 7.2523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8143 loss: 1.8143 2022/07/28 07:29:17 - mmengine - INFO - Epoch(train) [92][160/3757] lr: 4.9127e-03 eta: 1 day, 12:52:04 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 7.5129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8968 loss: 1.8968 2022/07/28 07:29:24 - mmengine - INFO - Epoch(train) [92][180/3757] lr: 4.9127e-03 eta: 1 day, 12:51:56 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 7.4644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6761 loss: 1.6761 2022/07/28 07:29:32 - mmengine - INFO - Epoch(train) [92][200/3757] lr: 4.9127e-03 eta: 1 day, 12:51:48 time: 0.3997 data_time: 0.0180 memory: 17007 grad_norm: 7.1980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9146 loss: 1.9146 2022/07/28 07:29:40 - mmengine - INFO - Epoch(train) [92][220/3757] lr: 4.9127e-03 eta: 1 day, 12:51:40 time: 0.3958 data_time: 0.0159 memory: 17007 grad_norm: 7.5377 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7986 loss: 1.7986 2022/07/28 07:29:48 - mmengine - INFO - Epoch(train) [92][240/3757] lr: 4.9127e-03 eta: 1 day, 12:51:32 time: 0.3968 data_time: 0.0168 memory: 17007 grad_norm: 7.3917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9847 loss: 1.9847 2022/07/28 07:29:56 - mmengine - INFO - Epoch(train) [92][260/3757] lr: 4.9127e-03 eta: 1 day, 12:51:24 time: 0.3955 data_time: 0.0165 memory: 17007 grad_norm: 7.1335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8398 loss: 1.8398 2022/07/28 07:30:04 - mmengine - INFO - Epoch(train) [92][280/3757] lr: 4.9127e-03 eta: 1 day, 12:51:16 time: 0.3941 data_time: 0.0159 memory: 17007 grad_norm: 7.5986 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8349 loss: 1.8349 2022/07/28 07:30:12 - mmengine - INFO - Epoch(train) [92][300/3757] lr: 4.9127e-03 eta: 1 day, 12:51:08 time: 0.3932 data_time: 0.0154 memory: 17007 grad_norm: 7.0739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0203 loss: 2.0203 2022/07/28 07:30:20 - mmengine - INFO - Epoch(train) [92][320/3757] lr: 4.9127e-03 eta: 1 day, 12:51:00 time: 0.3970 data_time: 0.0183 memory: 17007 grad_norm: 7.3031 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0594 loss: 2.0594 2022/07/28 07:30:28 - mmengine - INFO - Epoch(train) [92][340/3757] lr: 4.9127e-03 eta: 1 day, 12:50:52 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 7.8663 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9895 loss: 1.9895 2022/07/28 07:30:36 - mmengine - INFO - Epoch(train) [92][360/3757] lr: 4.9127e-03 eta: 1 day, 12:50:44 time: 0.3969 data_time: 0.0171 memory: 17007 grad_norm: 7.6360 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0307 loss: 2.0307 2022/07/28 07:30:44 - mmengine - INFO - Epoch(train) [92][380/3757] lr: 4.9127e-03 eta: 1 day, 12:50:36 time: 0.3934 data_time: 0.0150 memory: 17007 grad_norm: 7.6962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8511 loss: 1.8511 2022/07/28 07:30:52 - mmengine - INFO - Epoch(train) [92][400/3757] lr: 4.9127e-03 eta: 1 day, 12:50:28 time: 0.3932 data_time: 0.0146 memory: 17007 grad_norm: 7.2958 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0062 loss: 2.0062 2022/07/28 07:31:00 - mmengine - INFO - Epoch(train) [92][420/3757] lr: 4.9127e-03 eta: 1 day, 12:50:20 time: 0.4030 data_time: 0.0139 memory: 17007 grad_norm: 7.5848 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9104 loss: 1.9104 2022/07/28 07:31:08 - mmengine - INFO - Epoch(train) [92][440/3757] lr: 4.9127e-03 eta: 1 day, 12:50:12 time: 0.3961 data_time: 0.0164 memory: 17007 grad_norm: 7.3219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0801 loss: 2.0801 2022/07/28 07:31:15 - mmengine - INFO - Epoch(train) [92][460/3757] lr: 4.9127e-03 eta: 1 day, 12:50:04 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 7.3249 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8363 loss: 1.8363 2022/07/28 07:31:23 - mmengine - INFO - Epoch(train) [92][480/3757] lr: 4.9127e-03 eta: 1 day, 12:49:56 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 7.3816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7346 loss: 1.7346 2022/07/28 07:31:31 - mmengine - INFO - Epoch(train) [92][500/3757] lr: 4.9127e-03 eta: 1 day, 12:49:48 time: 0.3942 data_time: 0.0157 memory: 17007 grad_norm: 7.6823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7959 loss: 1.7959 2022/07/28 07:31:39 - mmengine - INFO - Epoch(train) [92][520/3757] lr: 4.9127e-03 eta: 1 day, 12:49:40 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 7.5952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2380 loss: 2.2380 2022/07/28 07:31:47 - mmengine - INFO - Epoch(train) [92][540/3757] lr: 4.9127e-03 eta: 1 day, 12:49:32 time: 0.3953 data_time: 0.0152 memory: 17007 grad_norm: 7.3595 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8439 loss: 1.8439 2022/07/28 07:31:55 - mmengine - INFO - Epoch(train) [92][560/3757] lr: 4.9127e-03 eta: 1 day, 12:49:24 time: 0.3939 data_time: 0.0155 memory: 17007 grad_norm: 7.5479 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9533 loss: 1.9533 2022/07/28 07:32:03 - mmengine - INFO - Epoch(train) [92][580/3757] lr: 4.9127e-03 eta: 1 day, 12:49:16 time: 0.3925 data_time: 0.0148 memory: 17007 grad_norm: 7.5149 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9850 loss: 1.9850 2022/07/28 07:32:11 - mmengine - INFO - Epoch(train) [92][600/3757] lr: 4.9127e-03 eta: 1 day, 12:49:08 time: 0.3964 data_time: 0.0171 memory: 17007 grad_norm: 7.1364 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5978 loss: 1.5978 2022/07/28 07:32:19 - mmengine - INFO - Epoch(train) [92][620/3757] lr: 4.9127e-03 eta: 1 day, 12:49:00 time: 0.3951 data_time: 0.0178 memory: 17007 grad_norm: 7.5530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1433 loss: 2.1433 2022/07/28 07:32:27 - mmengine - INFO - Epoch(train) [92][640/3757] lr: 4.9127e-03 eta: 1 day, 12:48:52 time: 0.3981 data_time: 0.0162 memory: 17007 grad_norm: 7.3848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1735 loss: 2.1735 2022/07/28 07:32:35 - mmengine - INFO - Epoch(train) [92][660/3757] lr: 4.9127e-03 eta: 1 day, 12:48:44 time: 0.3929 data_time: 0.0149 memory: 17007 grad_norm: 7.3445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5697 loss: 1.5697 2022/07/28 07:32:42 - mmengine - INFO - Epoch(train) [92][680/3757] lr: 4.9127e-03 eta: 1 day, 12:48:36 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 7.3573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6855 loss: 1.6855 2022/07/28 07:32:50 - mmengine - INFO - Epoch(train) [92][700/3757] lr: 4.9127e-03 eta: 1 day, 12:48:28 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 7.2592 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9544 loss: 1.9544 2022/07/28 07:32:58 - mmengine - INFO - Epoch(train) [92][720/3757] lr: 4.9127e-03 eta: 1 day, 12:48:20 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 7.4671 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6860 loss: 1.6860 2022/07/28 07:33:06 - mmengine - INFO - Epoch(train) [92][740/3757] lr: 4.9127e-03 eta: 1 day, 12:48:12 time: 0.3978 data_time: 0.0156 memory: 17007 grad_norm: 7.6994 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0983 loss: 2.0983 2022/07/28 07:33:14 - mmengine - INFO - Epoch(train) [92][760/3757] lr: 4.9127e-03 eta: 1 day, 12:48:04 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 7.6182 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7433 loss: 1.7433 2022/07/28 07:33:22 - mmengine - INFO - Epoch(train) [92][780/3757] lr: 4.9127e-03 eta: 1 day, 12:47:56 time: 0.3935 data_time: 0.0144 memory: 17007 grad_norm: 7.3943 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8621 loss: 1.8621 2022/07/28 07:33:30 - mmengine - INFO - Epoch(train) [92][800/3757] lr: 4.9127e-03 eta: 1 day, 12:47:48 time: 0.3925 data_time: 0.0162 memory: 17007 grad_norm: 7.4908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0522 loss: 2.0522 2022/07/28 07:33:38 - mmengine - INFO - Epoch(train) [92][820/3757] lr: 4.9127e-03 eta: 1 day, 12:47:40 time: 0.3933 data_time: 0.0140 memory: 17007 grad_norm: 7.5677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7858 loss: 1.7858 2022/07/28 07:33:46 - mmengine - INFO - Epoch(train) [92][840/3757] lr: 4.9127e-03 eta: 1 day, 12:47:33 time: 0.4093 data_time: 0.0158 memory: 17007 grad_norm: 7.5871 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8613 loss: 1.8613 2022/07/28 07:33:54 - mmengine - INFO - Epoch(train) [92][860/3757] lr: 4.9127e-03 eta: 1 day, 12:47:24 time: 0.3937 data_time: 0.0138 memory: 17007 grad_norm: 7.3346 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9987 loss: 1.9987 2022/07/28 07:34:02 - mmengine - INFO - Epoch(train) [92][880/3757] lr: 4.9127e-03 eta: 1 day, 12:47:17 time: 0.3950 data_time: 0.0151 memory: 17007 grad_norm: 7.2329 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8856 loss: 1.8856 2022/07/28 07:34:10 - mmengine - INFO - Epoch(train) [92][900/3757] lr: 4.9127e-03 eta: 1 day, 12:47:09 time: 0.4112 data_time: 0.0148 memory: 17007 grad_norm: 7.2328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0153 loss: 2.0153 2022/07/28 07:34:18 - mmengine - INFO - Epoch(train) [92][920/3757] lr: 4.9127e-03 eta: 1 day, 12:47:01 time: 0.3994 data_time: 0.0160 memory: 17007 grad_norm: 7.3780 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7078 loss: 1.7078 2022/07/28 07:34:26 - mmengine - INFO - Epoch(train) [92][940/3757] lr: 4.9127e-03 eta: 1 day, 12:46:53 time: 0.3959 data_time: 0.0156 memory: 17007 grad_norm: 7.2430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9110 loss: 1.9110 2022/07/28 07:34:34 - mmengine - INFO - Epoch(train) [92][960/3757] lr: 4.9127e-03 eta: 1 day, 12:46:45 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 7.3919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8792 loss: 1.8792 2022/07/28 07:34:42 - mmengine - INFO - Epoch(train) [92][980/3757] lr: 4.9127e-03 eta: 1 day, 12:46:37 time: 0.3968 data_time: 0.0162 memory: 17007 grad_norm: 7.3900 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7479 loss: 1.7479 2022/07/28 07:34:50 - mmengine - INFO - Epoch(train) [92][1000/3757] lr: 4.9127e-03 eta: 1 day, 12:46:29 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 7.4032 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8774 loss: 1.8774 2022/07/28 07:34:58 - mmengine - INFO - Epoch(train) [92][1020/3757] lr: 4.9127e-03 eta: 1 day, 12:46:21 time: 0.3966 data_time: 0.0147 memory: 17007 grad_norm: 7.0816 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6779 loss: 1.6779 2022/07/28 07:35:05 - mmengine - INFO - Epoch(train) [92][1040/3757] lr: 4.9127e-03 eta: 1 day, 12:46:13 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 7.4595 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8830 loss: 1.8830 2022/07/28 07:35:13 - mmengine - INFO - Epoch(train) [92][1060/3757] lr: 4.9127e-03 eta: 1 day, 12:46:05 time: 0.3959 data_time: 0.0160 memory: 17007 grad_norm: 7.4868 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8449 loss: 1.8449 2022/07/28 07:35:21 - mmengine - INFO - Epoch(train) [92][1080/3757] lr: 4.9127e-03 eta: 1 day, 12:45:57 time: 0.3989 data_time: 0.0160 memory: 17007 grad_norm: 7.0965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1219 loss: 2.1219 2022/07/28 07:35:29 - mmengine - INFO - Epoch(train) [92][1100/3757] lr: 4.9127e-03 eta: 1 day, 12:45:49 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 7.4476 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9954 loss: 1.9954 2022/07/28 07:35:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:35:37 - mmengine - INFO - Epoch(train) [92][1120/3757] lr: 4.9127e-03 eta: 1 day, 12:45:41 time: 0.3963 data_time: 0.0156 memory: 17007 grad_norm: 7.5034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6682 loss: 1.6682 2022/07/28 07:35:45 - mmengine - INFO - Epoch(train) [92][1140/3757] lr: 4.9127e-03 eta: 1 day, 12:45:33 time: 0.3930 data_time: 0.0136 memory: 17007 grad_norm: 7.3893 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8931 loss: 1.8931 2022/07/28 07:35:53 - mmengine - INFO - Epoch(train) [92][1160/3757] lr: 4.9127e-03 eta: 1 day, 12:45:25 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 7.3936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7932 loss: 1.7932 2022/07/28 07:36:01 - mmengine - INFO - Epoch(train) [92][1180/3757] lr: 4.9127e-03 eta: 1 day, 12:45:17 time: 0.3961 data_time: 0.0155 memory: 17007 grad_norm: 7.2913 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7965 loss: 1.7965 2022/07/28 07:36:09 - mmengine - INFO - Epoch(train) [92][1200/3757] lr: 4.9127e-03 eta: 1 day, 12:45:09 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 7.1759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0540 loss: 2.0540 2022/07/28 07:36:17 - mmengine - INFO - Epoch(train) [92][1220/3757] lr: 4.9127e-03 eta: 1 day, 12:45:01 time: 0.3947 data_time: 0.0150 memory: 17007 grad_norm: 7.3890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9187 loss: 1.9187 2022/07/28 07:36:25 - mmengine - INFO - Epoch(train) [92][1240/3757] lr: 4.9127e-03 eta: 1 day, 12:44:53 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 7.0843 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9210 loss: 1.9210 2022/07/28 07:36:33 - mmengine - INFO - Epoch(train) [92][1260/3757] lr: 4.9127e-03 eta: 1 day, 12:44:45 time: 0.3996 data_time: 0.0138 memory: 17007 grad_norm: 7.6289 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1279 loss: 2.1279 2022/07/28 07:36:41 - mmengine - INFO - Epoch(train) [92][1280/3757] lr: 4.9127e-03 eta: 1 day, 12:44:37 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 7.4405 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7356 loss: 1.7356 2022/07/28 07:36:48 - mmengine - INFO - Epoch(train) [92][1300/3757] lr: 4.9127e-03 eta: 1 day, 12:44:29 time: 0.3935 data_time: 0.0137 memory: 17007 grad_norm: 7.6989 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0871 loss: 2.0871 2022/07/28 07:36:56 - mmengine - INFO - Epoch(train) [92][1320/3757] lr: 4.9127e-03 eta: 1 day, 12:44:21 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 7.6996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9359 loss: 1.9359 2022/07/28 07:37:04 - mmengine - INFO - Epoch(train) [92][1340/3757] lr: 4.9127e-03 eta: 1 day, 12:44:13 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 7.5705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5158 loss: 1.5158 2022/07/28 07:37:12 - mmengine - INFO - Epoch(train) [92][1360/3757] lr: 4.9127e-03 eta: 1 day, 12:44:05 time: 0.3939 data_time: 0.0158 memory: 17007 grad_norm: 7.5415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9757 loss: 1.9757 2022/07/28 07:37:20 - mmengine - INFO - Epoch(train) [92][1380/3757] lr: 4.9127e-03 eta: 1 day, 12:43:57 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 7.3426 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0826 loss: 2.0826 2022/07/28 07:37:28 - mmengine - INFO - Epoch(train) [92][1400/3757] lr: 4.9127e-03 eta: 1 day, 12:43:49 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 7.2895 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4281 loss: 1.4281 2022/07/28 07:37:36 - mmengine - INFO - Epoch(train) [92][1420/3757] lr: 4.9127e-03 eta: 1 day, 12:43:41 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 7.3768 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9830 loss: 1.9830 2022/07/28 07:37:44 - mmengine - INFO - Epoch(train) [92][1440/3757] lr: 4.9127e-03 eta: 1 day, 12:43:33 time: 0.3955 data_time: 0.0169 memory: 17007 grad_norm: 7.2015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9185 loss: 1.9185 2022/07/28 07:37:52 - mmengine - INFO - Epoch(train) [92][1460/3757] lr: 4.9127e-03 eta: 1 day, 12:43:25 time: 0.3952 data_time: 0.0138 memory: 17007 grad_norm: 7.5801 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7336 loss: 1.7336 2022/07/28 07:38:00 - mmengine - INFO - Epoch(train) [92][1480/3757] lr: 4.9127e-03 eta: 1 day, 12:43:18 time: 0.4023 data_time: 0.0166 memory: 17007 grad_norm: 7.6313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1486 loss: 2.1486 2022/07/28 07:38:08 - mmengine - INFO - Epoch(train) [92][1500/3757] lr: 4.9127e-03 eta: 1 day, 12:43:10 time: 0.3937 data_time: 0.0146 memory: 17007 grad_norm: 7.3460 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2969 loss: 2.2969 2022/07/28 07:38:15 - mmengine - INFO - Epoch(train) [92][1520/3757] lr: 4.9127e-03 eta: 1 day, 12:43:02 time: 0.3926 data_time: 0.0143 memory: 17007 grad_norm: 7.4696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2154 loss: 2.2154 2022/07/28 07:38:23 - mmengine - INFO - Epoch(train) [92][1540/3757] lr: 4.9127e-03 eta: 1 day, 12:42:54 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 7.4647 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7388 loss: 1.7388 2022/07/28 07:38:31 - mmengine - INFO - Epoch(train) [92][1560/3757] lr: 4.9127e-03 eta: 1 day, 12:42:46 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 7.2179 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9883 loss: 1.9883 2022/07/28 07:38:39 - mmengine - INFO - Epoch(train) [92][1580/3757] lr: 4.9127e-03 eta: 1 day, 12:42:38 time: 0.4019 data_time: 0.0161 memory: 17007 grad_norm: 7.7527 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0379 loss: 2.0379 2022/07/28 07:38:47 - mmengine - INFO - Epoch(train) [92][1600/3757] lr: 4.9127e-03 eta: 1 day, 12:42:30 time: 0.3962 data_time: 0.0155 memory: 17007 grad_norm: 7.2646 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9429 loss: 1.9429 2022/07/28 07:38:55 - mmengine - INFO - Epoch(train) [92][1620/3757] lr: 4.9127e-03 eta: 1 day, 12:42:22 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 7.4268 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0084 loss: 2.0084 2022/07/28 07:39:03 - mmengine - INFO - Epoch(train) [92][1640/3757] lr: 4.9127e-03 eta: 1 day, 12:42:14 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 7.5233 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7270 loss: 1.7270 2022/07/28 07:39:11 - mmengine - INFO - Epoch(train) [92][1660/3757] lr: 4.9127e-03 eta: 1 day, 12:42:06 time: 0.3930 data_time: 0.0145 memory: 17007 grad_norm: 7.7443 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8948 loss: 1.8948 2022/07/28 07:39:19 - mmengine - INFO - Epoch(train) [92][1680/3757] lr: 4.9127e-03 eta: 1 day, 12:41:58 time: 0.4049 data_time: 0.0166 memory: 17007 grad_norm: 7.5175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1359 loss: 2.1359 2022/07/28 07:39:27 - mmengine - INFO - Epoch(train) [92][1700/3757] lr: 4.9127e-03 eta: 1 day, 12:41:50 time: 0.4041 data_time: 0.0145 memory: 17007 grad_norm: 7.4018 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2580 loss: 2.2580 2022/07/28 07:39:35 - mmengine - INFO - Epoch(train) [92][1720/3757] lr: 4.9127e-03 eta: 1 day, 12:41:42 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 7.6596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8814 loss: 1.8814 2022/07/28 07:39:43 - mmengine - INFO - Epoch(train) [92][1740/3757] lr: 4.9127e-03 eta: 1 day, 12:41:34 time: 0.4023 data_time: 0.0157 memory: 17007 grad_norm: 7.4801 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8535 loss: 1.8535 2022/07/28 07:39:51 - mmengine - INFO - Epoch(train) [92][1760/3757] lr: 4.9127e-03 eta: 1 day, 12:41:26 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 7.5704 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2006 loss: 2.2006 2022/07/28 07:39:59 - mmengine - INFO - Epoch(train) [92][1780/3757] lr: 4.9127e-03 eta: 1 day, 12:41:18 time: 0.4049 data_time: 0.0153 memory: 17007 grad_norm: 7.6550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0615 loss: 2.0615 2022/07/28 07:40:07 - mmengine - INFO - Epoch(train) [92][1800/3757] lr: 4.9127e-03 eta: 1 day, 12:41:11 time: 0.3967 data_time: 0.0173 memory: 17007 grad_norm: 7.6404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0949 loss: 2.0949 2022/07/28 07:40:15 - mmengine - INFO - Epoch(train) [92][1820/3757] lr: 4.9127e-03 eta: 1 day, 12:41:02 time: 0.3930 data_time: 0.0147 memory: 17007 grad_norm: 7.6747 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0834 loss: 2.0834 2022/07/28 07:40:23 - mmengine - INFO - Epoch(train) [92][1840/3757] lr: 4.9127e-03 eta: 1 day, 12:40:55 time: 0.3960 data_time: 0.0154 memory: 17007 grad_norm: 7.4636 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.8983 loss: 1.8983 2022/07/28 07:40:31 - mmengine - INFO - Epoch(train) [92][1860/3757] lr: 4.9127e-03 eta: 1 day, 12:40:47 time: 0.4113 data_time: 0.0150 memory: 17007 grad_norm: 7.5483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7621 loss: 1.7621 2022/07/28 07:40:39 - mmengine - INFO - Epoch(train) [92][1880/3757] lr: 4.9127e-03 eta: 1 day, 12:40:39 time: 0.3986 data_time: 0.0165 memory: 17007 grad_norm: 7.3280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0793 loss: 2.0793 2022/07/28 07:40:47 - mmengine - INFO - Epoch(train) [92][1900/3757] lr: 4.9127e-03 eta: 1 day, 12:40:31 time: 0.3955 data_time: 0.0172 memory: 17007 grad_norm: 7.1733 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2546 loss: 2.2546 2022/07/28 07:40:55 - mmengine - INFO - Epoch(train) [92][1920/3757] lr: 4.9127e-03 eta: 1 day, 12:40:23 time: 0.3930 data_time: 0.0154 memory: 17007 grad_norm: 7.5802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9367 loss: 1.9367 2022/07/28 07:41:03 - mmengine - INFO - Epoch(train) [92][1940/3757] lr: 4.9127e-03 eta: 1 day, 12:40:15 time: 0.3951 data_time: 0.0151 memory: 17007 grad_norm: 7.2616 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9052 loss: 1.9052 2022/07/28 07:41:11 - mmengine - INFO - Epoch(train) [92][1960/3757] lr: 4.9127e-03 eta: 1 day, 12:40:07 time: 0.4148 data_time: 0.0165 memory: 17007 grad_norm: 7.1406 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7551 loss: 1.7551 2022/07/28 07:41:19 - mmengine - INFO - Epoch(train) [92][1980/3757] lr: 4.9127e-03 eta: 1 day, 12:39:59 time: 0.3965 data_time: 0.0155 memory: 17007 grad_norm: 7.2460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2026 loss: 2.2026 2022/07/28 07:41:27 - mmengine - INFO - Epoch(train) [92][2000/3757] lr: 4.9127e-03 eta: 1 day, 12:39:51 time: 0.3975 data_time: 0.0166 memory: 17007 grad_norm: 7.1701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1158 loss: 2.1158 2022/07/28 07:41:35 - mmengine - INFO - Epoch(train) [92][2020/3757] lr: 4.9127e-03 eta: 1 day, 12:39:43 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 7.4148 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9581 loss: 1.9581 2022/07/28 07:41:43 - mmengine - INFO - Epoch(train) [92][2040/3757] lr: 4.9127e-03 eta: 1 day, 12:39:36 time: 0.4059 data_time: 0.0164 memory: 17007 grad_norm: 7.2649 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8756 loss: 1.8756 2022/07/28 07:41:51 - mmengine - INFO - Epoch(train) [92][2060/3757] lr: 4.9127e-03 eta: 1 day, 12:39:28 time: 0.3946 data_time: 0.0161 memory: 17007 grad_norm: 7.2990 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8708 loss: 1.8708 2022/07/28 07:41:59 - mmengine - INFO - Epoch(train) [92][2080/3757] lr: 4.9127e-03 eta: 1 day, 12:39:20 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 7.2954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8210 loss: 1.8210 2022/07/28 07:42:07 - mmengine - INFO - Epoch(train) [92][2100/3757] lr: 4.9127e-03 eta: 1 day, 12:39:12 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 7.6915 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8677 loss: 1.8677 2022/07/28 07:42:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:42:14 - mmengine - INFO - Epoch(train) [92][2120/3757] lr: 4.9127e-03 eta: 1 day, 12:39:04 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 7.9847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1995 loss: 2.1995 2022/07/28 07:42:22 - mmengine - INFO - Epoch(train) [92][2140/3757] lr: 4.9127e-03 eta: 1 day, 12:38:56 time: 0.3926 data_time: 0.0143 memory: 17007 grad_norm: 7.3320 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8201 loss: 1.8201 2022/07/28 07:42:30 - mmengine - INFO - Epoch(train) [92][2160/3757] lr: 4.9127e-03 eta: 1 day, 12:38:48 time: 0.3994 data_time: 0.0172 memory: 17007 grad_norm: 7.3316 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8655 loss: 1.8655 2022/07/28 07:42:38 - mmengine - INFO - Epoch(train) [92][2180/3757] lr: 4.9127e-03 eta: 1 day, 12:38:40 time: 0.3974 data_time: 0.0156 memory: 17007 grad_norm: 7.7007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1277 loss: 2.1277 2022/07/28 07:42:46 - mmengine - INFO - Epoch(train) [92][2200/3757] lr: 4.9127e-03 eta: 1 day, 12:38:32 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 7.6980 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7946 loss: 1.7946 2022/07/28 07:42:54 - mmengine - INFO - Epoch(train) [92][2220/3757] lr: 4.9127e-03 eta: 1 day, 12:38:24 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.5994 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1691 loss: 2.1691 2022/07/28 07:43:02 - mmengine - INFO - Epoch(train) [92][2240/3757] lr: 4.9127e-03 eta: 1 day, 12:38:16 time: 0.3954 data_time: 0.0162 memory: 17007 grad_norm: 7.5513 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8764 loss: 1.8764 2022/07/28 07:43:10 - mmengine - INFO - Epoch(train) [92][2260/3757] lr: 4.9127e-03 eta: 1 day, 12:38:08 time: 0.3978 data_time: 0.0152 memory: 17007 grad_norm: 7.6175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0219 loss: 2.0219 2022/07/28 07:43:18 - mmengine - INFO - Epoch(train) [92][2280/3757] lr: 4.9127e-03 eta: 1 day, 12:38:00 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 7.3953 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1581 loss: 2.1581 2022/07/28 07:43:26 - mmengine - INFO - Epoch(train) [92][2300/3757] lr: 4.9127e-03 eta: 1 day, 12:37:52 time: 0.3921 data_time: 0.0149 memory: 17007 grad_norm: 7.4536 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9761 loss: 1.9761 2022/07/28 07:43:34 - mmengine - INFO - Epoch(train) [92][2320/3757] lr: 4.9127e-03 eta: 1 day, 12:37:44 time: 0.3949 data_time: 0.0149 memory: 17007 grad_norm: 7.4357 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0203 loss: 2.0203 2022/07/28 07:43:42 - mmengine - INFO - Epoch(train) [92][2340/3757] lr: 4.9127e-03 eta: 1 day, 12:37:36 time: 0.3971 data_time: 0.0171 memory: 17007 grad_norm: 7.4725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0322 loss: 2.0322 2022/07/28 07:43:49 - mmengine - INFO - Epoch(train) [92][2360/3757] lr: 4.9127e-03 eta: 1 day, 12:37:28 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 7.2852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8060 loss: 1.8060 2022/07/28 07:43:57 - mmengine - INFO - Epoch(train) [92][2380/3757] lr: 4.9127e-03 eta: 1 day, 12:37:20 time: 0.3980 data_time: 0.0158 memory: 17007 grad_norm: 7.4118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6886 loss: 1.6886 2022/07/28 07:44:05 - mmengine - INFO - Epoch(train) [92][2400/3757] lr: 4.9127e-03 eta: 1 day, 12:37:12 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 7.4281 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0082 loss: 2.0082 2022/07/28 07:44:13 - mmengine - INFO - Epoch(train) [92][2420/3757] lr: 4.9127e-03 eta: 1 day, 12:37:04 time: 0.3961 data_time: 0.0138 memory: 17007 grad_norm: 7.5953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6187 loss: 1.6187 2022/07/28 07:44:21 - mmengine - INFO - Epoch(train) [92][2440/3757] lr: 4.9127e-03 eta: 1 day, 12:36:56 time: 0.3949 data_time: 0.0163 memory: 17007 grad_norm: 7.2227 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8927 loss: 1.8927 2022/07/28 07:44:29 - mmengine - INFO - Epoch(train) [92][2460/3757] lr: 4.9127e-03 eta: 1 day, 12:36:48 time: 0.4087 data_time: 0.0154 memory: 17007 grad_norm: 7.4391 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7815 loss: 1.7815 2022/07/28 07:44:37 - mmengine - INFO - Epoch(train) [92][2480/3757] lr: 4.9127e-03 eta: 1 day, 12:36:41 time: 0.3975 data_time: 0.0162 memory: 17007 grad_norm: 7.5533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9750 loss: 1.9750 2022/07/28 07:44:45 - mmengine - INFO - Epoch(train) [92][2500/3757] lr: 4.9127e-03 eta: 1 day, 12:36:32 time: 0.3924 data_time: 0.0142 memory: 17007 grad_norm: 7.4614 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7792 loss: 1.7792 2022/07/28 07:44:53 - mmengine - INFO - Epoch(train) [92][2520/3757] lr: 4.9127e-03 eta: 1 day, 12:36:24 time: 0.3949 data_time: 0.0149 memory: 17007 grad_norm: 7.5725 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8026 loss: 1.8026 2022/07/28 07:45:01 - mmengine - INFO - Epoch(train) [92][2540/3757] lr: 4.9127e-03 eta: 1 day, 12:36:17 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 7.5831 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6694 loss: 1.6694 2022/07/28 07:45:09 - mmengine - INFO - Epoch(train) [92][2560/3757] lr: 4.9127e-03 eta: 1 day, 12:36:09 time: 0.3980 data_time: 0.0178 memory: 17007 grad_norm: 7.2661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8115 loss: 1.8115 2022/07/28 07:45:17 - mmengine - INFO - Epoch(train) [92][2580/3757] lr: 4.9127e-03 eta: 1 day, 12:36:01 time: 0.3957 data_time: 0.0147 memory: 17007 grad_norm: 7.9337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1465 loss: 2.1465 2022/07/28 07:45:25 - mmengine - INFO - Epoch(train) [92][2600/3757] lr: 4.9127e-03 eta: 1 day, 12:35:53 time: 0.3946 data_time: 0.0160 memory: 17007 grad_norm: 7.4802 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1634 loss: 2.1634 2022/07/28 07:45:33 - mmengine - INFO - Epoch(train) [92][2620/3757] lr: 4.9127e-03 eta: 1 day, 12:35:45 time: 0.3998 data_time: 0.0149 memory: 17007 grad_norm: 7.6345 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1059 loss: 2.1059 2022/07/28 07:45:41 - mmengine - INFO - Epoch(train) [92][2640/3757] lr: 4.9127e-03 eta: 1 day, 12:35:37 time: 0.4011 data_time: 0.0159 memory: 17007 grad_norm: 7.3800 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0488 loss: 2.0488 2022/07/28 07:45:49 - mmengine - INFO - Epoch(train) [92][2660/3757] lr: 4.9127e-03 eta: 1 day, 12:35:29 time: 0.4063 data_time: 0.0152 memory: 17007 grad_norm: 7.5533 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9896 loss: 1.9896 2022/07/28 07:45:57 - mmengine - INFO - Epoch(train) [92][2680/3757] lr: 4.9127e-03 eta: 1 day, 12:35:21 time: 0.3950 data_time: 0.0149 memory: 17007 grad_norm: 7.3403 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8808 loss: 1.8808 2022/07/28 07:46:05 - mmengine - INFO - Epoch(train) [92][2700/3757] lr: 4.9127e-03 eta: 1 day, 12:35:13 time: 0.3942 data_time: 0.0131 memory: 17007 grad_norm: 7.3956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9435 loss: 1.9435 2022/07/28 07:46:13 - mmengine - INFO - Epoch(train) [92][2720/3757] lr: 4.9127e-03 eta: 1 day, 12:35:05 time: 0.3954 data_time: 0.0152 memory: 17007 grad_norm: 7.3961 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6453 loss: 1.6453 2022/07/28 07:46:21 - mmengine - INFO - Epoch(train) [92][2740/3757] lr: 4.9127e-03 eta: 1 day, 12:34:57 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 7.1735 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0839 loss: 2.0839 2022/07/28 07:46:28 - mmengine - INFO - Epoch(train) [92][2760/3757] lr: 4.9127e-03 eta: 1 day, 12:34:49 time: 0.3923 data_time: 0.0157 memory: 17007 grad_norm: 7.8026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6782 loss: 1.6782 2022/07/28 07:46:36 - mmengine - INFO - Epoch(train) [92][2780/3757] lr: 4.9127e-03 eta: 1 day, 12:34:41 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 7.4678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0880 loss: 2.0880 2022/07/28 07:46:44 - mmengine - INFO - Epoch(train) [92][2800/3757] lr: 4.9127e-03 eta: 1 day, 12:34:33 time: 0.3975 data_time: 0.0165 memory: 17007 grad_norm: 7.2064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8435 loss: 1.8435 2022/07/28 07:46:52 - mmengine - INFO - Epoch(train) [92][2820/3757] lr: 4.9127e-03 eta: 1 day, 12:34:25 time: 0.3927 data_time: 0.0131 memory: 17007 grad_norm: 7.3987 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9183 loss: 1.9183 2022/07/28 07:47:00 - mmengine - INFO - Epoch(train) [92][2840/3757] lr: 4.9127e-03 eta: 1 day, 12:34:17 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 7.3570 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2112 loss: 2.2112 2022/07/28 07:47:08 - mmengine - INFO - Epoch(train) [92][2860/3757] lr: 4.9127e-03 eta: 1 day, 12:34:09 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 7.4544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8645 loss: 1.8645 2022/07/28 07:47:16 - mmengine - INFO - Epoch(train) [92][2880/3757] lr: 4.9127e-03 eta: 1 day, 12:34:01 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 7.3592 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0951 loss: 2.0951 2022/07/28 07:47:24 - mmengine - INFO - Epoch(train) [92][2900/3757] lr: 4.9127e-03 eta: 1 day, 12:33:53 time: 0.3973 data_time: 0.0162 memory: 17007 grad_norm: 7.2764 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9556 loss: 1.9556 2022/07/28 07:47:32 - mmengine - INFO - Epoch(train) [92][2920/3757] lr: 4.9127e-03 eta: 1 day, 12:33:45 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 7.3003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3044 loss: 2.3044 2022/07/28 07:47:40 - mmengine - INFO - Epoch(train) [92][2940/3757] lr: 4.9127e-03 eta: 1 day, 12:33:38 time: 0.4082 data_time: 0.0155 memory: 17007 grad_norm: 7.3575 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9952 loss: 1.9952 2022/07/28 07:47:48 - mmengine - INFO - Epoch(train) [92][2960/3757] lr: 4.9127e-03 eta: 1 day, 12:33:30 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 7.2971 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8998 loss: 1.8998 2022/07/28 07:47:56 - mmengine - INFO - Epoch(train) [92][2980/3757] lr: 4.9127e-03 eta: 1 day, 12:33:22 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 7.5621 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9565 loss: 1.9565 2022/07/28 07:48:04 - mmengine - INFO - Epoch(train) [92][3000/3757] lr: 4.9127e-03 eta: 1 day, 12:33:14 time: 0.4022 data_time: 0.0160 memory: 17007 grad_norm: 7.2818 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8368 loss: 1.8368 2022/07/28 07:48:12 - mmengine - INFO - Epoch(train) [92][3020/3757] lr: 4.9127e-03 eta: 1 day, 12:33:06 time: 0.3940 data_time: 0.0145 memory: 17007 grad_norm: 7.1030 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1119 loss: 2.1119 2022/07/28 07:48:20 - mmengine - INFO - Epoch(train) [92][3040/3757] lr: 4.9127e-03 eta: 1 day, 12:32:58 time: 0.3968 data_time: 0.0165 memory: 17007 grad_norm: 8.6313 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0415 loss: 2.0415 2022/07/28 07:48:28 - mmengine - INFO - Epoch(train) [92][3060/3757] lr: 4.9127e-03 eta: 1 day, 12:32:50 time: 0.3948 data_time: 0.0151 memory: 17007 grad_norm: 7.6921 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2143 loss: 2.2143 2022/07/28 07:48:35 - mmengine - INFO - Epoch(train) [92][3080/3757] lr: 4.9127e-03 eta: 1 day, 12:32:42 time: 0.3936 data_time: 0.0153 memory: 17007 grad_norm: 7.6127 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9170 loss: 1.9170 2022/07/28 07:48:43 - mmengine - INFO - Epoch(train) [92][3100/3757] lr: 4.9127e-03 eta: 1 day, 12:32:34 time: 0.3958 data_time: 0.0154 memory: 17007 grad_norm: 7.7434 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0080 loss: 2.0080 2022/07/28 07:48:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:48:51 - mmengine - INFO - Epoch(train) [92][3120/3757] lr: 4.9127e-03 eta: 1 day, 12:32:26 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 7.6004 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8519 loss: 1.8519 2022/07/28 07:48:59 - mmengine - INFO - Epoch(train) [92][3140/3757] lr: 4.9127e-03 eta: 1 day, 12:32:18 time: 0.4034 data_time: 0.0161 memory: 17007 grad_norm: 7.6719 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9169 loss: 1.9169 2022/07/28 07:49:07 - mmengine - INFO - Epoch(train) [92][3160/3757] lr: 4.9127e-03 eta: 1 day, 12:32:10 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 7.5669 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2649 loss: 2.2649 2022/07/28 07:49:15 - mmengine - INFO - Epoch(train) [92][3180/3757] lr: 4.9127e-03 eta: 1 day, 12:32:02 time: 0.3922 data_time: 0.0138 memory: 17007 grad_norm: 7.6737 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0646 loss: 2.0646 2022/07/28 07:49:23 - mmengine - INFO - Epoch(train) [92][3200/3757] lr: 4.9127e-03 eta: 1 day, 12:31:54 time: 0.4000 data_time: 0.0157 memory: 17007 grad_norm: 7.3124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7087 loss: 1.7087 2022/07/28 07:49:31 - mmengine - INFO - Epoch(train) [92][3220/3757] lr: 4.9127e-03 eta: 1 day, 12:31:46 time: 0.3929 data_time: 0.0133 memory: 17007 grad_norm: 7.5134 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7262 loss: 1.7262 2022/07/28 07:49:39 - mmengine - INFO - Epoch(train) [92][3240/3757] lr: 4.9127e-03 eta: 1 day, 12:31:38 time: 0.3978 data_time: 0.0179 memory: 17007 grad_norm: 7.9099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7853 loss: 1.7853 2022/07/28 07:49:47 - mmengine - INFO - Epoch(train) [92][3260/3757] lr: 4.9127e-03 eta: 1 day, 12:31:30 time: 0.3930 data_time: 0.0140 memory: 17007 grad_norm: 7.9239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4143 loss: 2.4143 2022/07/28 07:49:55 - mmengine - INFO - Epoch(train) [92][3280/3757] lr: 4.9127e-03 eta: 1 day, 12:31:22 time: 0.3973 data_time: 0.0150 memory: 17007 grad_norm: 7.4580 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9962 loss: 1.9962 2022/07/28 07:50:03 - mmengine - INFO - Epoch(train) [92][3300/3757] lr: 4.9127e-03 eta: 1 day, 12:31:14 time: 0.3959 data_time: 0.0157 memory: 17007 grad_norm: 7.4192 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1466 loss: 2.1466 2022/07/28 07:50:11 - mmengine - INFO - Epoch(train) [92][3320/3757] lr: 4.9127e-03 eta: 1 day, 12:31:06 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 7.3864 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1405 loss: 2.1405 2022/07/28 07:50:19 - mmengine - INFO - Epoch(train) [92][3340/3757] lr: 4.9127e-03 eta: 1 day, 12:30:58 time: 0.3983 data_time: 0.0153 memory: 17007 grad_norm: 7.4018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8334 loss: 1.8334 2022/07/28 07:50:26 - mmengine - INFO - Epoch(train) [92][3360/3757] lr: 4.9127e-03 eta: 1 day, 12:30:50 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 7.5601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7396 loss: 1.7396 2022/07/28 07:50:34 - mmengine - INFO - Epoch(train) [92][3380/3757] lr: 4.9127e-03 eta: 1 day, 12:30:42 time: 0.3919 data_time: 0.0144 memory: 17007 grad_norm: 7.6758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9245 loss: 1.9245 2022/07/28 07:50:42 - mmengine - INFO - Epoch(train) [92][3400/3757] lr: 4.9127e-03 eta: 1 day, 12:30:34 time: 0.3974 data_time: 0.0149 memory: 17007 grad_norm: 7.8575 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9377 loss: 1.9377 2022/07/28 07:50:50 - mmengine - INFO - Epoch(train) [92][3420/3757] lr: 4.9127e-03 eta: 1 day, 12:30:26 time: 0.4038 data_time: 0.0150 memory: 17007 grad_norm: 7.3266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9929 loss: 1.9929 2022/07/28 07:50:58 - mmengine - INFO - Epoch(train) [92][3440/3757] lr: 4.9127e-03 eta: 1 day, 12:30:18 time: 0.3977 data_time: 0.0166 memory: 17007 grad_norm: 7.4905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9572 loss: 1.9572 2022/07/28 07:51:06 - mmengine - INFO - Epoch(train) [92][3460/3757] lr: 4.9127e-03 eta: 1 day, 12:30:10 time: 0.3916 data_time: 0.0143 memory: 17007 grad_norm: 7.4221 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8493 loss: 1.8493 2022/07/28 07:51:14 - mmengine - INFO - Epoch(train) [92][3480/3757] lr: 4.9127e-03 eta: 1 day, 12:30:02 time: 0.3960 data_time: 0.0151 memory: 17007 grad_norm: 7.6559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0353 loss: 2.0353 2022/07/28 07:51:22 - mmengine - INFO - Epoch(train) [92][3500/3757] lr: 4.9127e-03 eta: 1 day, 12:29:55 time: 0.3970 data_time: 0.0164 memory: 17007 grad_norm: 7.5012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7514 loss: 1.7514 2022/07/28 07:51:30 - mmengine - INFO - Epoch(train) [92][3520/3757] lr: 4.9127e-03 eta: 1 day, 12:29:47 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 7.5092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0436 loss: 2.0436 2022/07/28 07:51:38 - mmengine - INFO - Epoch(train) [92][3540/3757] lr: 4.9127e-03 eta: 1 day, 12:29:39 time: 0.3989 data_time: 0.0159 memory: 17007 grad_norm: 7.3268 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0466 loss: 2.0466 2022/07/28 07:51:46 - mmengine - INFO - Epoch(train) [92][3560/3757] lr: 4.9127e-03 eta: 1 day, 12:29:31 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 7.3677 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6742 loss: 1.6742 2022/07/28 07:51:54 - mmengine - INFO - Epoch(train) [92][3580/3757] lr: 4.9127e-03 eta: 1 day, 12:29:23 time: 0.3951 data_time: 0.0152 memory: 17007 grad_norm: 7.7242 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0479 loss: 2.0479 2022/07/28 07:52:02 - mmengine - INFO - Epoch(train) [92][3600/3757] lr: 4.9127e-03 eta: 1 day, 12:29:15 time: 0.3987 data_time: 0.0168 memory: 17007 grad_norm: 7.6876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0428 loss: 2.0428 2022/07/28 07:52:10 - mmengine - INFO - Epoch(train) [92][3620/3757] lr: 4.9127e-03 eta: 1 day, 12:29:07 time: 0.3939 data_time: 0.0143 memory: 17007 grad_norm: 7.6231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8142 loss: 1.8142 2022/07/28 07:52:18 - mmengine - INFO - Epoch(train) [92][3640/3757] lr: 4.9127e-03 eta: 1 day, 12:28:59 time: 0.4006 data_time: 0.0151 memory: 17007 grad_norm: 7.5140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0785 loss: 2.0785 2022/07/28 07:52:25 - mmengine - INFO - Epoch(train) [92][3660/3757] lr: 4.9127e-03 eta: 1 day, 12:28:51 time: 0.3946 data_time: 0.0132 memory: 17007 grad_norm: 7.3878 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8725 loss: 1.8725 2022/07/28 07:52:33 - mmengine - INFO - Epoch(train) [92][3680/3757] lr: 4.9127e-03 eta: 1 day, 12:28:43 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 7.8538 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9909 loss: 1.9909 2022/07/28 07:52:41 - mmengine - INFO - Epoch(train) [92][3700/3757] lr: 4.9127e-03 eta: 1 day, 12:28:35 time: 0.3984 data_time: 0.0159 memory: 17007 grad_norm: 7.7674 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1382 loss: 2.1382 2022/07/28 07:52:49 - mmengine - INFO - Epoch(train) [92][3720/3757] lr: 4.9127e-03 eta: 1 day, 12:28:27 time: 0.3943 data_time: 0.0156 memory: 17007 grad_norm: 7.8286 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1161 loss: 2.1161 2022/07/28 07:52:57 - mmengine - INFO - Epoch(train) [92][3740/3757] lr: 4.9127e-03 eta: 1 day, 12:28:19 time: 0.3965 data_time: 0.0152 memory: 17007 grad_norm: 7.6149 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1235 loss: 2.1235 2022/07/28 07:53:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:53:04 - mmengine - INFO - Epoch(train) [92][3757/3757] lr: 4.9127e-03 eta: 1 day, 12:28:19 time: 0.3899 data_time: 0.0152 memory: 17007 grad_norm: 7.6979 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7625 loss: 1.7625 2022/07/28 07:53:04 - mmengine - INFO - Saving checkpoint at 92 epochs 2022/07/28 07:53:15 - mmengine - INFO - Epoch(train) [93][20/3757] lr: 4.8255e-03 eta: 1 day, 12:27:59 time: 0.4389 data_time: 0.0603 memory: 17007 grad_norm: 7.6953 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9379 loss: 1.9379 2022/07/28 07:53:23 - mmengine - INFO - Epoch(train) [93][40/3757] lr: 4.8255e-03 eta: 1 day, 12:27:51 time: 0.3953 data_time: 0.0150 memory: 17007 grad_norm: 7.1880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9361 loss: 1.9361 2022/07/28 07:53:31 - mmengine - INFO - Epoch(train) [93][60/3757] lr: 4.8255e-03 eta: 1 day, 12:27:43 time: 0.3982 data_time: 0.0147 memory: 17007 grad_norm: 7.4714 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8914 loss: 1.8914 2022/07/28 07:53:39 - mmengine - INFO - Epoch(train) [93][80/3757] lr: 4.8255e-03 eta: 1 day, 12:27:35 time: 0.3993 data_time: 0.0152 memory: 17007 grad_norm: 7.4043 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9172 loss: 1.9172 2022/07/28 07:53:47 - mmengine - INFO - Epoch(train) [93][100/3757] lr: 4.8255e-03 eta: 1 day, 12:27:27 time: 0.3925 data_time: 0.0140 memory: 17007 grad_norm: 7.2162 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8746 loss: 1.8746 2022/07/28 07:53:55 - mmengine - INFO - Epoch(train) [93][120/3757] lr: 4.8255e-03 eta: 1 day, 12:27:19 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 7.3495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9734 loss: 1.9734 2022/07/28 07:54:02 - mmengine - INFO - Epoch(train) [93][140/3757] lr: 4.8255e-03 eta: 1 day, 12:27:11 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 7.4611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0194 loss: 2.0194 2022/07/28 07:54:10 - mmengine - INFO - Epoch(train) [93][160/3757] lr: 4.8255e-03 eta: 1 day, 12:27:03 time: 0.3961 data_time: 0.0157 memory: 17007 grad_norm: 7.0912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6673 loss: 1.6673 2022/07/28 07:54:18 - mmengine - INFO - Epoch(train) [93][180/3757] lr: 4.8255e-03 eta: 1 day, 12:26:55 time: 0.3969 data_time: 0.0143 memory: 17007 grad_norm: 7.3484 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0755 loss: 2.0755 2022/07/28 07:54:26 - mmengine - INFO - Epoch(train) [93][200/3757] lr: 4.8255e-03 eta: 1 day, 12:26:47 time: 0.3947 data_time: 0.0160 memory: 17007 grad_norm: 7.8493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8167 loss: 1.8167 2022/07/28 07:54:34 - mmengine - INFO - Epoch(train) [93][220/3757] lr: 4.8255e-03 eta: 1 day, 12:26:39 time: 0.3940 data_time: 0.0132 memory: 17007 grad_norm: 7.2793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3863 loss: 2.3863 2022/07/28 07:54:42 - mmengine - INFO - Epoch(train) [93][240/3757] lr: 4.8255e-03 eta: 1 day, 12:26:31 time: 0.3997 data_time: 0.0156 memory: 17007 grad_norm: 7.5743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1766 loss: 2.1766 2022/07/28 07:54:50 - mmengine - INFO - Epoch(train) [93][260/3757] lr: 4.8255e-03 eta: 1 day, 12:26:23 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 7.2171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9059 loss: 1.9059 2022/07/28 07:54:58 - mmengine - INFO - Epoch(train) [93][280/3757] lr: 4.8255e-03 eta: 1 day, 12:26:15 time: 0.4007 data_time: 0.0158 memory: 17007 grad_norm: 7.4524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8501 loss: 1.8501 2022/07/28 07:55:06 - mmengine - INFO - Epoch(train) [93][300/3757] lr: 4.8255e-03 eta: 1 day, 12:26:07 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 7.1047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0072 loss: 2.0072 2022/07/28 07:55:14 - mmengine - INFO - Epoch(train) [93][320/3757] lr: 4.8255e-03 eta: 1 day, 12:25:59 time: 0.3950 data_time: 0.0158 memory: 17007 grad_norm: 7.5673 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3230 loss: 2.3230 2022/07/28 07:55:22 - mmengine - INFO - Epoch(train) [93][340/3757] lr: 4.8255e-03 eta: 1 day, 12:25:51 time: 0.3951 data_time: 0.0147 memory: 17007 grad_norm: 7.5085 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9692 loss: 1.9692 2022/07/28 07:55:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 07:55:30 - mmengine - INFO - Epoch(train) [93][360/3757] lr: 4.8255e-03 eta: 1 day, 12:25:43 time: 0.3947 data_time: 0.0167 memory: 17007 grad_norm: 7.2716 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0217 loss: 2.0217 2022/07/28 07:55:38 - mmengine - INFO - Epoch(train) [93][380/3757] lr: 4.8255e-03 eta: 1 day, 12:25:35 time: 0.3971 data_time: 0.0137 memory: 17007 grad_norm: 7.6576 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0526 loss: 2.0526 2022/07/28 07:55:45 - mmengine - INFO - Epoch(train) [93][400/3757] lr: 4.8255e-03 eta: 1 day, 12:25:27 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 7.1958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9372 loss: 1.9372 2022/07/28 07:55:53 - mmengine - INFO - Epoch(train) [93][420/3757] lr: 4.8255e-03 eta: 1 day, 12:25:19 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 7.1766 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8152 loss: 1.8152 2022/07/28 07:56:01 - mmengine - INFO - Epoch(train) [93][440/3757] lr: 4.8255e-03 eta: 1 day, 12:25:11 time: 0.4022 data_time: 0.0151 memory: 17007 grad_norm: 7.2769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7886 loss: 1.7886 2022/07/28 07:56:09 - mmengine - INFO - Epoch(train) [93][460/3757] lr: 4.8255e-03 eta: 1 day, 12:25:04 time: 0.3963 data_time: 0.0145 memory: 17007 grad_norm: 7.2025 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9574 loss: 1.9574 2022/07/28 07:56:17 - mmengine - INFO - Epoch(train) [93][480/3757] lr: 4.8255e-03 eta: 1 day, 12:24:56 time: 0.3939 data_time: 0.0148 memory: 17007 grad_norm: 7.4488 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9703 loss: 1.9703 2022/07/28 07:56:25 - mmengine - INFO - Epoch(train) [93][500/3757] lr: 4.8255e-03 eta: 1 day, 12:24:48 time: 0.4000 data_time: 0.0166 memory: 17007 grad_norm: 7.5745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7314 loss: 1.7314 2022/07/28 07:56:33 - mmengine - INFO - Epoch(train) [93][520/3757] lr: 4.8255e-03 eta: 1 day, 12:24:40 time: 0.3939 data_time: 0.0144 memory: 17007 grad_norm: 7.4481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7840 loss: 1.7840 2022/07/28 07:56:41 - mmengine - INFO - Epoch(train) [93][540/3757] lr: 4.8255e-03 eta: 1 day, 12:24:32 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 7.5429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0402 loss: 2.0402 2022/07/28 07:56:49 - mmengine - INFO - Epoch(train) [93][560/3757] lr: 4.8255e-03 eta: 1 day, 12:24:24 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.5521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9210 loss: 1.9210 2022/07/28 07:56:57 - mmengine - INFO - Epoch(train) [93][580/3757] lr: 4.8255e-03 eta: 1 day, 12:24:16 time: 0.3936 data_time: 0.0142 memory: 17007 grad_norm: 7.7583 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2654 loss: 2.2654 2022/07/28 07:57:05 - mmengine - INFO - Epoch(train) [93][600/3757] lr: 4.8255e-03 eta: 1 day, 12:24:08 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 7.1724 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6510 loss: 1.6510 2022/07/28 07:57:13 - mmengine - INFO - Epoch(train) [93][620/3757] lr: 4.8255e-03 eta: 1 day, 12:24:00 time: 0.3960 data_time: 0.0134 memory: 17007 grad_norm: 7.2637 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.0663 loss: 2.0663 2022/07/28 07:57:21 - mmengine - INFO - Epoch(train) [93][640/3757] lr: 4.8255e-03 eta: 1 day, 12:23:52 time: 0.3976 data_time: 0.0161 memory: 17007 grad_norm: 7.4176 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0984 loss: 2.0984 2022/07/28 07:57:29 - mmengine - INFO - Epoch(train) [93][660/3757] lr: 4.8255e-03 eta: 1 day, 12:23:44 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 7.2235 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0969 loss: 2.0969 2022/07/28 07:57:37 - mmengine - INFO - Epoch(train) [93][680/3757] lr: 4.8255e-03 eta: 1 day, 12:23:36 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 7.3096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8535 loss: 1.8535 2022/07/28 07:57:44 - mmengine - INFO - Epoch(train) [93][700/3757] lr: 4.8255e-03 eta: 1 day, 12:23:28 time: 0.3955 data_time: 0.0150 memory: 17007 grad_norm: 7.8307 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2043 loss: 2.2043 2022/07/28 07:57:52 - mmengine - INFO - Epoch(train) [93][720/3757] lr: 4.8255e-03 eta: 1 day, 12:23:20 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 7.5950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0132 loss: 2.0132 2022/07/28 07:58:00 - mmengine - INFO - Epoch(train) [93][740/3757] lr: 4.8255e-03 eta: 1 day, 12:23:12 time: 0.3972 data_time: 0.0146 memory: 17007 grad_norm: 7.6785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9995 loss: 1.9995 2022/07/28 07:58:08 - mmengine - INFO - Epoch(train) [93][760/3757] lr: 4.8255e-03 eta: 1 day, 12:23:04 time: 0.3947 data_time: 0.0152 memory: 17007 grad_norm: 7.4986 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2402 loss: 2.2402 2022/07/28 07:58:16 - mmengine - INFO - Epoch(train) [93][780/3757] lr: 4.8255e-03 eta: 1 day, 12:22:56 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 7.4309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9304 loss: 1.9304 2022/07/28 07:58:24 - mmengine - INFO - Epoch(train) [93][800/3757] lr: 4.8255e-03 eta: 1 day, 12:22:48 time: 0.3933 data_time: 0.0159 memory: 17007 grad_norm: 7.4658 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1085 loss: 2.1085 2022/07/28 07:58:32 - mmengine - INFO - Epoch(train) [93][820/3757] lr: 4.8255e-03 eta: 1 day, 12:22:40 time: 0.3939 data_time: 0.0145 memory: 17007 grad_norm: 6.8865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0381 loss: 2.0381 2022/07/28 07:58:40 - mmengine - INFO - Epoch(train) [93][840/3757] lr: 4.8255e-03 eta: 1 day, 12:22:32 time: 0.3996 data_time: 0.0162 memory: 17007 grad_norm: 7.5570 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7422 loss: 1.7422 2022/07/28 07:58:48 - mmengine - INFO - Epoch(train) [93][860/3757] lr: 4.8255e-03 eta: 1 day, 12:22:24 time: 0.3931 data_time: 0.0138 memory: 17007 grad_norm: 7.4234 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/07/28 07:58:56 - mmengine - INFO - Epoch(train) [93][880/3757] lr: 4.8255e-03 eta: 1 day, 12:22:16 time: 0.3936 data_time: 0.0147 memory: 17007 grad_norm: 7.7539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0697 loss: 2.0697 2022/07/28 07:59:04 - mmengine - INFO - Epoch(train) [93][900/3757] lr: 4.8255e-03 eta: 1 day, 12:22:08 time: 0.3993 data_time: 0.0166 memory: 17007 grad_norm: 7.7173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3302 loss: 2.3302 2022/07/28 07:59:12 - mmengine - INFO - Epoch(train) [93][920/3757] lr: 4.8255e-03 eta: 1 day, 12:22:00 time: 0.4007 data_time: 0.0149 memory: 17007 grad_norm: 7.2189 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0422 loss: 2.0422 2022/07/28 07:59:20 - mmengine - INFO - Epoch(train) [93][940/3757] lr: 4.8255e-03 eta: 1 day, 12:21:52 time: 0.3954 data_time: 0.0151 memory: 17007 grad_norm: 7.5171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3697 loss: 2.3697 2022/07/28 07:59:27 - mmengine - INFO - Epoch(train) [93][960/3757] lr: 4.8255e-03 eta: 1 day, 12:21:44 time: 0.3953 data_time: 0.0170 memory: 17007 grad_norm: 7.5580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8564 loss: 1.8564 2022/07/28 07:59:35 - mmengine - INFO - Epoch(train) [93][980/3757] lr: 4.8255e-03 eta: 1 day, 12:21:36 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 7.4480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9380 loss: 1.9380 2022/07/28 07:59:43 - mmengine - INFO - Epoch(train) [93][1000/3757] lr: 4.8255e-03 eta: 1 day, 12:21:28 time: 0.3954 data_time: 0.0152 memory: 17007 grad_norm: 7.1644 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6657 loss: 1.6657 2022/07/28 07:59:51 - mmengine - INFO - Epoch(train) [93][1020/3757] lr: 4.8255e-03 eta: 1 day, 12:21:20 time: 0.3969 data_time: 0.0162 memory: 17007 grad_norm: 7.5815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9440 loss: 1.9440 2022/07/28 07:59:59 - mmengine - INFO - Epoch(train) [93][1040/3757] lr: 4.8255e-03 eta: 1 day, 12:21:12 time: 0.3947 data_time: 0.0144 memory: 17007 grad_norm: 7.3581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8005 loss: 1.8005 2022/07/28 08:00:07 - mmengine - INFO - Epoch(train) [93][1060/3757] lr: 4.8255e-03 eta: 1 day, 12:21:04 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 7.4084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1514 loss: 2.1514 2022/07/28 08:00:15 - mmengine - INFO - Epoch(train) [93][1080/3757] lr: 4.8255e-03 eta: 1 day, 12:20:56 time: 0.3978 data_time: 0.0150 memory: 17007 grad_norm: 7.1069 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1184 loss: 2.1184 2022/07/28 08:00:23 - mmengine - INFO - Epoch(train) [93][1100/3757] lr: 4.8255e-03 eta: 1 day, 12:20:49 time: 0.3992 data_time: 0.0152 memory: 17007 grad_norm: 7.2645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0022 loss: 2.0022 2022/07/28 08:00:31 - mmengine - INFO - Epoch(train) [93][1120/3757] lr: 4.8255e-03 eta: 1 day, 12:20:41 time: 0.3959 data_time: 0.0159 memory: 17007 grad_norm: 7.3282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9412 loss: 1.9412 2022/07/28 08:00:39 - mmengine - INFO - Epoch(train) [93][1140/3757] lr: 4.8255e-03 eta: 1 day, 12:20:33 time: 0.4074 data_time: 0.0151 memory: 17007 grad_norm: 7.6496 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8941 loss: 1.8941 2022/07/28 08:00:47 - mmengine - INFO - Epoch(train) [93][1160/3757] lr: 4.8255e-03 eta: 1 day, 12:20:25 time: 0.3938 data_time: 0.0147 memory: 17007 grad_norm: 7.3702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8626 loss: 1.8626 2022/07/28 08:00:55 - mmengine - INFO - Epoch(train) [93][1180/3757] lr: 4.8255e-03 eta: 1 day, 12:20:17 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 7.1428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0928 loss: 2.0928 2022/07/28 08:01:03 - mmengine - INFO - Epoch(train) [93][1200/3757] lr: 4.8255e-03 eta: 1 day, 12:20:09 time: 0.3962 data_time: 0.0155 memory: 17007 grad_norm: 7.8329 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1483 loss: 2.1483 2022/07/28 08:01:11 - mmengine - INFO - Epoch(train) [93][1220/3757] lr: 4.8255e-03 eta: 1 day, 12:20:01 time: 0.3973 data_time: 0.0155 memory: 17007 grad_norm: 7.3117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6200 loss: 1.6200 2022/07/28 08:01:19 - mmengine - INFO - Epoch(train) [93][1240/3757] lr: 4.8255e-03 eta: 1 day, 12:19:53 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 7.4262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8134 loss: 1.8134 2022/07/28 08:01:27 - mmengine - INFO - Epoch(train) [93][1260/3757] lr: 4.8255e-03 eta: 1 day, 12:19:45 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 7.3436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0347 loss: 2.0347 2022/07/28 08:01:34 - mmengine - INFO - Epoch(train) [93][1280/3757] lr: 4.8255e-03 eta: 1 day, 12:19:37 time: 0.3953 data_time: 0.0152 memory: 17007 grad_norm: 7.2525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8226 loss: 1.8226 2022/07/28 08:01:43 - mmengine - INFO - Epoch(train) [93][1300/3757] lr: 4.8255e-03 eta: 1 day, 12:19:29 time: 0.4043 data_time: 0.0147 memory: 17007 grad_norm: 7.3595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9440 loss: 1.9440 2022/07/28 08:01:50 - mmengine - INFO - Epoch(train) [93][1320/3757] lr: 4.8255e-03 eta: 1 day, 12:19:21 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 7.5284 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9679 loss: 1.9679 2022/07/28 08:01:58 - mmengine - INFO - Epoch(train) [93][1340/3757] lr: 4.8255e-03 eta: 1 day, 12:19:13 time: 0.4004 data_time: 0.0145 memory: 17007 grad_norm: 7.6627 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8892 loss: 1.8892 2022/07/28 08:02:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:02:06 - mmengine - INFO - Epoch(train) [93][1360/3757] lr: 4.8255e-03 eta: 1 day, 12:19:05 time: 0.3943 data_time: 0.0156 memory: 17007 grad_norm: 7.3511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2151 loss: 2.2151 2022/07/28 08:02:14 - mmengine - INFO - Epoch(train) [93][1380/3757] lr: 4.8255e-03 eta: 1 day, 12:18:57 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 7.2734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7844 loss: 1.7844 2022/07/28 08:02:22 - mmengine - INFO - Epoch(train) [93][1400/3757] lr: 4.8255e-03 eta: 1 day, 12:18:49 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 7.4483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8624 loss: 1.8624 2022/07/28 08:02:30 - mmengine - INFO - Epoch(train) [93][1420/3757] lr: 4.8255e-03 eta: 1 day, 12:18:41 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 7.5795 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1749 loss: 2.1749 2022/07/28 08:02:38 - mmengine - INFO - Epoch(train) [93][1440/3757] lr: 4.8255e-03 eta: 1 day, 12:18:33 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 7.5583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6609 loss: 1.6609 2022/07/28 08:02:46 - mmengine - INFO - Epoch(train) [93][1460/3757] lr: 4.8255e-03 eta: 1 day, 12:18:25 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 7.4508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8835 loss: 1.8835 2022/07/28 08:02:54 - mmengine - INFO - Epoch(train) [93][1480/3757] lr: 4.8255e-03 eta: 1 day, 12:18:17 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 7.5814 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0271 loss: 2.0271 2022/07/28 08:03:02 - mmengine - INFO - Epoch(train) [93][1500/3757] lr: 4.8255e-03 eta: 1 day, 12:18:09 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 7.6458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9225 loss: 1.9225 2022/07/28 08:03:10 - mmengine - INFO - Epoch(train) [93][1520/3757] lr: 4.8255e-03 eta: 1 day, 12:18:01 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 7.4149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8562 loss: 1.8562 2022/07/28 08:03:17 - mmengine - INFO - Epoch(train) [93][1540/3757] lr: 4.8255e-03 eta: 1 day, 12:17:53 time: 0.3928 data_time: 0.0147 memory: 17007 grad_norm: 7.6185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0233 loss: 2.0233 2022/07/28 08:03:25 - mmengine - INFO - Epoch(train) [93][1560/3757] lr: 4.8255e-03 eta: 1 day, 12:17:45 time: 0.3956 data_time: 0.0153 memory: 17007 grad_norm: 7.7646 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9124 loss: 1.9124 2022/07/28 08:03:33 - mmengine - INFO - Epoch(train) [93][1580/3757] lr: 4.8255e-03 eta: 1 day, 12:17:37 time: 0.3971 data_time: 0.0153 memory: 17007 grad_norm: 7.5828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7824 loss: 1.7824 2022/07/28 08:03:41 - mmengine - INFO - Epoch(train) [93][1600/3757] lr: 4.8255e-03 eta: 1 day, 12:17:29 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 7.3125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8176 loss: 1.8176 2022/07/28 08:03:49 - mmengine - INFO - Epoch(train) [93][1620/3757] lr: 4.8255e-03 eta: 1 day, 12:17:21 time: 0.3966 data_time: 0.0156 memory: 17007 grad_norm: 7.5004 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8972 loss: 1.8972 2022/07/28 08:03:57 - mmengine - INFO - Epoch(train) [93][1640/3757] lr: 4.8255e-03 eta: 1 day, 12:17:14 time: 0.3953 data_time: 0.0154 memory: 17007 grad_norm: 7.5324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2688 loss: 2.2688 2022/07/28 08:04:05 - mmengine - INFO - Epoch(train) [93][1660/3757] lr: 4.8255e-03 eta: 1 day, 12:17:06 time: 0.3964 data_time: 0.0151 memory: 17007 grad_norm: 7.5241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8904 loss: 1.8904 2022/07/28 08:04:13 - mmengine - INFO - Epoch(train) [93][1680/3757] lr: 4.8255e-03 eta: 1 day, 12:16:58 time: 0.3967 data_time: 0.0154 memory: 17007 grad_norm: 7.5194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9840 loss: 1.9840 2022/07/28 08:04:21 - mmengine - INFO - Epoch(train) [93][1700/3757] lr: 4.8255e-03 eta: 1 day, 12:16:50 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 7.3015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0629 loss: 2.0629 2022/07/28 08:04:29 - mmengine - INFO - Epoch(train) [93][1720/3757] lr: 4.8255e-03 eta: 1 day, 12:16:42 time: 0.3953 data_time: 0.0164 memory: 17007 grad_norm: 7.3294 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0457 loss: 2.0457 2022/07/28 08:04:37 - mmengine - INFO - Epoch(train) [93][1740/3757] lr: 4.8255e-03 eta: 1 day, 12:16:34 time: 0.3928 data_time: 0.0144 memory: 17007 grad_norm: 7.5583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0713 loss: 2.0713 2022/07/28 08:04:45 - mmengine - INFO - Epoch(train) [93][1760/3757] lr: 4.8255e-03 eta: 1 day, 12:16:26 time: 0.4068 data_time: 0.0156 memory: 17007 grad_norm: 7.3605 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0303 loss: 2.0303 2022/07/28 08:04:53 - mmengine - INFO - Epoch(train) [93][1780/3757] lr: 4.8255e-03 eta: 1 day, 12:16:18 time: 0.3952 data_time: 0.0145 memory: 17007 grad_norm: 7.6651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9970 loss: 1.9970 2022/07/28 08:05:01 - mmengine - INFO - Epoch(train) [93][1800/3757] lr: 4.8255e-03 eta: 1 day, 12:16:10 time: 0.4076 data_time: 0.0165 memory: 17007 grad_norm: 7.4485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9793 loss: 1.9793 2022/07/28 08:05:09 - mmengine - INFO - Epoch(train) [93][1820/3757] lr: 4.8255e-03 eta: 1 day, 12:16:02 time: 0.3960 data_time: 0.0155 memory: 17007 grad_norm: 7.3973 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9016 loss: 1.9016 2022/07/28 08:05:17 - mmengine - INFO - Epoch(train) [93][1840/3757] lr: 4.8255e-03 eta: 1 day, 12:15:54 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 7.7713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7139 loss: 1.7139 2022/07/28 08:05:25 - mmengine - INFO - Epoch(train) [93][1860/3757] lr: 4.8255e-03 eta: 1 day, 12:15:46 time: 0.3974 data_time: 0.0156 memory: 17007 grad_norm: 7.6139 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7228 loss: 1.7228 2022/07/28 08:05:33 - mmengine - INFO - Epoch(train) [93][1880/3757] lr: 4.8255e-03 eta: 1 day, 12:15:38 time: 0.3954 data_time: 0.0160 memory: 17007 grad_norm: 7.3695 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2276 loss: 2.2276 2022/07/28 08:05:41 - mmengine - INFO - Epoch(train) [93][1900/3757] lr: 4.8255e-03 eta: 1 day, 12:15:30 time: 0.4010 data_time: 0.0159 memory: 17007 grad_norm: 7.5237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9845 loss: 1.9845 2022/07/28 08:05:49 - mmengine - INFO - Epoch(train) [93][1920/3757] lr: 4.8255e-03 eta: 1 day, 12:15:22 time: 0.3947 data_time: 0.0152 memory: 17007 grad_norm: 7.5530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7944 loss: 1.7944 2022/07/28 08:05:56 - mmengine - INFO - Epoch(train) [93][1940/3757] lr: 4.8255e-03 eta: 1 day, 12:15:14 time: 0.3948 data_time: 0.0144 memory: 17007 grad_norm: 7.1125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9744 loss: 1.9744 2022/07/28 08:06:04 - mmengine - INFO - Epoch(train) [93][1960/3757] lr: 4.8255e-03 eta: 1 day, 12:15:07 time: 0.3982 data_time: 0.0166 memory: 17007 grad_norm: 7.3287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8871 loss: 1.8871 2022/07/28 08:06:12 - mmengine - INFO - Epoch(train) [93][1980/3757] lr: 4.8255e-03 eta: 1 day, 12:14:59 time: 0.3970 data_time: 0.0154 memory: 17007 grad_norm: 7.3413 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1332 loss: 2.1332 2022/07/28 08:06:20 - mmengine - INFO - Epoch(train) [93][2000/3757] lr: 4.8255e-03 eta: 1 day, 12:14:51 time: 0.3987 data_time: 0.0156 memory: 17007 grad_norm: 7.5400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7441 loss: 1.7441 2022/07/28 08:06:28 - mmengine - INFO - Epoch(train) [93][2020/3757] lr: 4.8255e-03 eta: 1 day, 12:14:43 time: 0.3934 data_time: 0.0144 memory: 17007 grad_norm: 7.3077 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1785 loss: 2.1785 2022/07/28 08:06:36 - mmengine - INFO - Epoch(train) [93][2040/3757] lr: 4.8255e-03 eta: 1 day, 12:14:35 time: 0.3948 data_time: 0.0155 memory: 17007 grad_norm: 7.5174 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9280 loss: 1.9280 2022/07/28 08:06:44 - mmengine - INFO - Epoch(train) [93][2060/3757] lr: 4.8255e-03 eta: 1 day, 12:14:27 time: 0.3961 data_time: 0.0159 memory: 17007 grad_norm: 7.3112 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7847 loss: 1.7847 2022/07/28 08:06:52 - mmengine - INFO - Epoch(train) [93][2080/3757] lr: 4.8255e-03 eta: 1 day, 12:14:19 time: 0.3983 data_time: 0.0164 memory: 17007 grad_norm: 7.4871 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9936 loss: 1.9936 2022/07/28 08:07:00 - mmengine - INFO - Epoch(train) [93][2100/3757] lr: 4.8255e-03 eta: 1 day, 12:14:11 time: 0.3961 data_time: 0.0155 memory: 17007 grad_norm: 7.4842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9224 loss: 1.9224 2022/07/28 08:07:08 - mmengine - INFO - Epoch(train) [93][2120/3757] lr: 4.8255e-03 eta: 1 day, 12:14:03 time: 0.3945 data_time: 0.0145 memory: 17007 grad_norm: 7.4020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7883 loss: 1.7883 2022/07/28 08:07:16 - mmengine - INFO - Epoch(train) [93][2140/3757] lr: 4.8255e-03 eta: 1 day, 12:13:55 time: 0.3946 data_time: 0.0145 memory: 17007 grad_norm: 7.6955 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9155 loss: 1.9155 2022/07/28 08:07:24 - mmengine - INFO - Epoch(train) [93][2160/3757] lr: 4.8255e-03 eta: 1 day, 12:13:47 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 7.8008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8850 loss: 1.8850 2022/07/28 08:07:32 - mmengine - INFO - Epoch(train) [93][2180/3757] lr: 4.8255e-03 eta: 1 day, 12:13:39 time: 0.3939 data_time: 0.0148 memory: 17007 grad_norm: 7.6721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9620 loss: 1.9620 2022/07/28 08:07:40 - mmengine - INFO - Epoch(train) [93][2200/3757] lr: 4.8255e-03 eta: 1 day, 12:13:31 time: 0.4043 data_time: 0.0173 memory: 17007 grad_norm: 7.4676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9068 loss: 1.9068 2022/07/28 08:07:48 - mmengine - INFO - Epoch(train) [93][2220/3757] lr: 4.8255e-03 eta: 1 day, 12:13:23 time: 0.3951 data_time: 0.0151 memory: 17007 grad_norm: 7.6348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8234 loss: 1.8234 2022/07/28 08:07:56 - mmengine - INFO - Epoch(train) [93][2240/3757] lr: 4.8255e-03 eta: 1 day, 12:13:15 time: 0.3954 data_time: 0.0160 memory: 17007 grad_norm: 7.6669 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9994 loss: 1.9994 2022/07/28 08:08:03 - mmengine - INFO - Epoch(train) [93][2260/3757] lr: 4.8255e-03 eta: 1 day, 12:13:07 time: 0.3952 data_time: 0.0139 memory: 17007 grad_norm: 7.5897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0025 loss: 2.0025 2022/07/28 08:08:11 - mmengine - INFO - Epoch(train) [93][2280/3757] lr: 4.8255e-03 eta: 1 day, 12:12:59 time: 0.3994 data_time: 0.0158 memory: 17007 grad_norm: 7.8741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7429 loss: 1.7429 2022/07/28 08:08:19 - mmengine - INFO - Epoch(train) [93][2300/3757] lr: 4.8255e-03 eta: 1 day, 12:12:51 time: 0.3955 data_time: 0.0155 memory: 17007 grad_norm: 7.5822 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7881 loss: 1.7881 2022/07/28 08:08:27 - mmengine - INFO - Epoch(train) [93][2320/3757] lr: 4.8255e-03 eta: 1 day, 12:12:43 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 7.7776 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6577 loss: 1.6577 2022/07/28 08:08:35 - mmengine - INFO - Epoch(train) [93][2340/3757] lr: 4.8255e-03 eta: 1 day, 12:12:35 time: 0.3941 data_time: 0.0145 memory: 17007 grad_norm: 7.4854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9652 loss: 1.9652 2022/07/28 08:08:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:08:43 - mmengine - INFO - Epoch(train) [93][2360/3757] lr: 4.8255e-03 eta: 1 day, 12:12:27 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 7.5472 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9122 loss: 1.9122 2022/07/28 08:08:51 - mmengine - INFO - Epoch(train) [93][2380/3757] lr: 4.8255e-03 eta: 1 day, 12:12:19 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 7.7500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9267 loss: 1.9267 2022/07/28 08:08:59 - mmengine - INFO - Epoch(train) [93][2400/3757] lr: 4.8255e-03 eta: 1 day, 12:12:11 time: 0.3954 data_time: 0.0148 memory: 17007 grad_norm: 7.5936 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0998 loss: 2.0998 2022/07/28 08:09:07 - mmengine - INFO - Epoch(train) [93][2420/3757] lr: 4.8255e-03 eta: 1 day, 12:12:03 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 7.6317 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8295 loss: 1.8295 2022/07/28 08:09:15 - mmengine - INFO - Epoch(train) [93][2440/3757] lr: 4.8255e-03 eta: 1 day, 12:11:55 time: 0.3967 data_time: 0.0157 memory: 17007 grad_norm: 7.6204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0063 loss: 2.0063 2022/07/28 08:09:23 - mmengine - INFO - Epoch(train) [93][2460/3757] lr: 4.8255e-03 eta: 1 day, 12:11:47 time: 0.3931 data_time: 0.0151 memory: 17007 grad_norm: 7.6859 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0574 loss: 2.0574 2022/07/28 08:09:30 - mmengine - INFO - Epoch(train) [93][2480/3757] lr: 4.8255e-03 eta: 1 day, 12:11:39 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 7.5943 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1191 loss: 2.1191 2022/07/28 08:09:38 - mmengine - INFO - Epoch(train) [93][2500/3757] lr: 4.8255e-03 eta: 1 day, 12:11:31 time: 0.3924 data_time: 0.0139 memory: 17007 grad_norm: 7.6490 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0266 loss: 2.0266 2022/07/28 08:09:46 - mmengine - INFO - Epoch(train) [93][2520/3757] lr: 4.8255e-03 eta: 1 day, 12:11:23 time: 0.4020 data_time: 0.0163 memory: 17007 grad_norm: 7.4416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0213 loss: 2.0213 2022/07/28 08:09:54 - mmengine - INFO - Epoch(train) [93][2540/3757] lr: 4.8255e-03 eta: 1 day, 12:11:16 time: 0.3974 data_time: 0.0147 memory: 17007 grad_norm: 7.6119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8338 loss: 1.8338 2022/07/28 08:10:02 - mmengine - INFO - Epoch(train) [93][2560/3757] lr: 4.8255e-03 eta: 1 day, 12:11:08 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 7.2250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8272 loss: 1.8272 2022/07/28 08:10:10 - mmengine - INFO - Epoch(train) [93][2580/3757] lr: 4.8255e-03 eta: 1 day, 12:11:00 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 7.3651 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0224 loss: 2.0224 2022/07/28 08:10:18 - mmengine - INFO - Epoch(train) [93][2600/3757] lr: 4.8255e-03 eta: 1 day, 12:10:52 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 7.3408 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0132 loss: 2.0132 2022/07/28 08:10:26 - mmengine - INFO - Epoch(train) [93][2620/3757] lr: 4.8255e-03 eta: 1 day, 12:10:44 time: 0.4045 data_time: 0.0153 memory: 17007 grad_norm: 7.5719 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8313 loss: 1.8313 2022/07/28 08:10:34 - mmengine - INFO - Epoch(train) [93][2640/3757] lr: 4.8255e-03 eta: 1 day, 12:10:36 time: 0.3958 data_time: 0.0167 memory: 17007 grad_norm: 7.6737 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7597 loss: 1.7597 2022/07/28 08:10:42 - mmengine - INFO - Epoch(train) [93][2660/3757] lr: 4.8255e-03 eta: 1 day, 12:10:28 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 7.7167 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7853 loss: 1.7853 2022/07/28 08:10:50 - mmengine - INFO - Epoch(train) [93][2680/3757] lr: 4.8255e-03 eta: 1 day, 12:10:20 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 7.4209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1351 loss: 2.1351 2022/07/28 08:10:58 - mmengine - INFO - Epoch(train) [93][2700/3757] lr: 4.8255e-03 eta: 1 day, 12:10:12 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 7.6362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0807 loss: 2.0807 2022/07/28 08:11:06 - mmengine - INFO - Epoch(train) [93][2720/3757] lr: 4.8255e-03 eta: 1 day, 12:10:04 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 7.4800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9394 loss: 1.9394 2022/07/28 08:11:14 - mmengine - INFO - Epoch(train) [93][2740/3757] lr: 4.8255e-03 eta: 1 day, 12:09:56 time: 0.3951 data_time: 0.0152 memory: 17007 grad_norm: 7.6461 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2599 loss: 2.2599 2022/07/28 08:11:21 - mmengine - INFO - Epoch(train) [93][2760/3757] lr: 4.8255e-03 eta: 1 day, 12:09:48 time: 0.3964 data_time: 0.0153 memory: 17007 grad_norm: 7.3513 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1893 loss: 2.1893 2022/07/28 08:11:29 - mmengine - INFO - Epoch(train) [93][2780/3757] lr: 4.8255e-03 eta: 1 day, 12:09:40 time: 0.3932 data_time: 0.0153 memory: 17007 grad_norm: 7.3498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1784 loss: 2.1784 2022/07/28 08:11:37 - mmengine - INFO - Epoch(train) [93][2800/3757] lr: 4.8255e-03 eta: 1 day, 12:09:32 time: 0.3948 data_time: 0.0146 memory: 17007 grad_norm: 7.4905 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9442 loss: 1.9442 2022/07/28 08:11:45 - mmengine - INFO - Epoch(train) [93][2820/3757] lr: 4.8255e-03 eta: 1 day, 12:09:24 time: 0.3950 data_time: 0.0152 memory: 17007 grad_norm: 7.5459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9976 loss: 1.9976 2022/07/28 08:11:53 - mmengine - INFO - Epoch(train) [93][2840/3757] lr: 4.8255e-03 eta: 1 day, 12:09:16 time: 0.3930 data_time: 0.0151 memory: 17007 grad_norm: 8.0416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0540 loss: 2.0540 2022/07/28 08:12:01 - mmengine - INFO - Epoch(train) [93][2860/3757] lr: 4.8255e-03 eta: 1 day, 12:09:08 time: 0.4015 data_time: 0.0153 memory: 17007 grad_norm: 7.9134 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2569 loss: 2.2569 2022/07/28 08:12:09 - mmengine - INFO - Epoch(train) [93][2880/3757] lr: 4.8255e-03 eta: 1 day, 12:09:00 time: 0.3941 data_time: 0.0154 memory: 17007 grad_norm: 7.4021 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1872 loss: 2.1872 2022/07/28 08:12:17 - mmengine - INFO - Epoch(train) [93][2900/3757] lr: 4.8255e-03 eta: 1 day, 12:08:52 time: 0.3943 data_time: 0.0145 memory: 17007 grad_norm: 7.7201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1558 loss: 2.1558 2022/07/28 08:12:25 - mmengine - INFO - Epoch(train) [93][2920/3757] lr: 4.8255e-03 eta: 1 day, 12:08:44 time: 0.3979 data_time: 0.0160 memory: 17007 grad_norm: 7.5117 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1379 loss: 2.1379 2022/07/28 08:12:33 - mmengine - INFO - Epoch(train) [93][2940/3757] lr: 4.8255e-03 eta: 1 day, 12:08:36 time: 0.3925 data_time: 0.0135 memory: 17007 grad_norm: 7.8551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8691 loss: 1.8691 2022/07/28 08:12:41 - mmengine - INFO - Epoch(train) [93][2960/3757] lr: 4.8255e-03 eta: 1 day, 12:08:28 time: 0.3993 data_time: 0.0159 memory: 17007 grad_norm: 7.3936 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1890 loss: 2.1890 2022/07/28 08:12:49 - mmengine - INFO - Epoch(train) [93][2980/3757] lr: 4.8255e-03 eta: 1 day, 12:08:20 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.3036 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9737 loss: 1.9737 2022/07/28 08:12:56 - mmengine - INFO - Epoch(train) [93][3000/3757] lr: 4.8255e-03 eta: 1 day, 12:08:12 time: 0.3954 data_time: 0.0155 memory: 17007 grad_norm: 7.4554 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7512 loss: 1.7512 2022/07/28 08:13:04 - mmengine - INFO - Epoch(train) [93][3020/3757] lr: 4.8255e-03 eta: 1 day, 12:08:04 time: 0.3967 data_time: 0.0149 memory: 17007 grad_norm: 7.5365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1112 loss: 2.1112 2022/07/28 08:13:12 - mmengine - INFO - Epoch(train) [93][3040/3757] lr: 4.8255e-03 eta: 1 day, 12:07:56 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 7.5734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1066 loss: 2.1066 2022/07/28 08:13:20 - mmengine - INFO - Epoch(train) [93][3060/3757] lr: 4.8255e-03 eta: 1 day, 12:07:48 time: 0.3982 data_time: 0.0153 memory: 17007 grad_norm: 7.5349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1767 loss: 2.1767 2022/07/28 08:13:28 - mmengine - INFO - Epoch(train) [93][3080/3757] lr: 4.8255e-03 eta: 1 day, 12:07:40 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 7.6422 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8137 loss: 1.8137 2022/07/28 08:13:36 - mmengine - INFO - Epoch(train) [93][3100/3757] lr: 4.8255e-03 eta: 1 day, 12:07:32 time: 0.3927 data_time: 0.0141 memory: 17007 grad_norm: 7.1152 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8510 loss: 1.8510 2022/07/28 08:13:44 - mmengine - INFO - Epoch(train) [93][3120/3757] lr: 4.8255e-03 eta: 1 day, 12:07:24 time: 0.3978 data_time: 0.0170 memory: 17007 grad_norm: 7.4918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8850 loss: 1.8850 2022/07/28 08:13:52 - mmengine - INFO - Epoch(train) [93][3140/3757] lr: 4.8255e-03 eta: 1 day, 12:07:16 time: 0.3957 data_time: 0.0154 memory: 17007 grad_norm: 7.6638 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8391 loss: 1.8391 2022/07/28 08:14:00 - mmengine - INFO - Epoch(train) [93][3160/3757] lr: 4.8255e-03 eta: 1 day, 12:07:08 time: 0.3962 data_time: 0.0167 memory: 17007 grad_norm: 7.5885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0508 loss: 2.0508 2022/07/28 08:14:08 - mmengine - INFO - Epoch(train) [93][3180/3757] lr: 4.8255e-03 eta: 1 day, 12:07:00 time: 0.3944 data_time: 0.0149 memory: 17007 grad_norm: 7.4697 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0577 loss: 2.0577 2022/07/28 08:14:16 - mmengine - INFO - Epoch(train) [93][3200/3757] lr: 4.8255e-03 eta: 1 day, 12:06:53 time: 0.4007 data_time: 0.0158 memory: 17007 grad_norm: 7.5504 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8074 loss: 1.8074 2022/07/28 08:14:24 - mmengine - INFO - Epoch(train) [93][3220/3757] lr: 4.8255e-03 eta: 1 day, 12:06:45 time: 0.3977 data_time: 0.0169 memory: 17007 grad_norm: 7.8164 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9457 loss: 1.9457 2022/07/28 08:14:32 - mmengine - INFO - Epoch(train) [93][3240/3757] lr: 4.8255e-03 eta: 1 day, 12:06:37 time: 0.3967 data_time: 0.0159 memory: 17007 grad_norm: 7.5874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9034 loss: 1.9034 2022/07/28 08:14:40 - mmengine - INFO - Epoch(train) [93][3260/3757] lr: 4.8255e-03 eta: 1 day, 12:06:29 time: 0.3978 data_time: 0.0152 memory: 17007 grad_norm: 7.6734 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9307 loss: 1.9307 2022/07/28 08:14:48 - mmengine - INFO - Epoch(train) [93][3280/3757] lr: 4.8255e-03 eta: 1 day, 12:06:21 time: 0.3953 data_time: 0.0163 memory: 17007 grad_norm: 7.4980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0615 loss: 2.0615 2022/07/28 08:14:56 - mmengine - INFO - Epoch(train) [93][3300/3757] lr: 4.8255e-03 eta: 1 day, 12:06:13 time: 0.3958 data_time: 0.0150 memory: 17007 grad_norm: 7.4875 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8086 loss: 1.8086 2022/07/28 08:15:04 - mmengine - INFO - Epoch(train) [93][3320/3757] lr: 4.8255e-03 eta: 1 day, 12:06:05 time: 0.3974 data_time: 0.0159 memory: 17007 grad_norm: 7.4992 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6509 loss: 1.6509 2022/07/28 08:15:11 - mmengine - INFO - Epoch(train) [93][3340/3757] lr: 4.8255e-03 eta: 1 day, 12:05:57 time: 0.3962 data_time: 0.0151 memory: 17007 grad_norm: 7.9225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1643 loss: 2.1643 2022/07/28 08:15:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:15:19 - mmengine - INFO - Epoch(train) [93][3360/3757] lr: 4.8255e-03 eta: 1 day, 12:05:49 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 7.4805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8281 loss: 1.8281 2022/07/28 08:15:27 - mmengine - INFO - Epoch(train) [93][3380/3757] lr: 4.8255e-03 eta: 1 day, 12:05:41 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 7.2082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8001 loss: 1.8001 2022/07/28 08:15:35 - mmengine - INFO - Epoch(train) [93][3400/3757] lr: 4.8255e-03 eta: 1 day, 12:05:33 time: 0.3969 data_time: 0.0152 memory: 17007 grad_norm: 7.6372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8202 loss: 1.8202 2022/07/28 08:15:43 - mmengine - INFO - Epoch(train) [93][3420/3757] lr: 4.8255e-03 eta: 1 day, 12:05:25 time: 0.3986 data_time: 0.0161 memory: 17007 grad_norm: 7.6845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2097 loss: 2.2097 2022/07/28 08:15:51 - mmengine - INFO - Epoch(train) [93][3440/3757] lr: 4.8255e-03 eta: 1 day, 12:05:17 time: 0.3994 data_time: 0.0156 memory: 17007 grad_norm: 7.6649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9900 loss: 1.9900 2022/07/28 08:15:59 - mmengine - INFO - Epoch(train) [93][3460/3757] lr: 4.8255e-03 eta: 1 day, 12:05:09 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 7.6275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7926 loss: 1.7926 2022/07/28 08:16:07 - mmengine - INFO - Epoch(train) [93][3480/3757] lr: 4.8255e-03 eta: 1 day, 12:05:01 time: 0.3953 data_time: 0.0162 memory: 17007 grad_norm: 7.3687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8842 loss: 1.8842 2022/07/28 08:16:15 - mmengine - INFO - Epoch(train) [93][3500/3757] lr: 4.8255e-03 eta: 1 day, 12:04:53 time: 0.4039 data_time: 0.0143 memory: 17007 grad_norm: 7.4685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8812 loss: 1.8812 2022/07/28 08:16:23 - mmengine - INFO - Epoch(train) [93][3520/3757] lr: 4.8255e-03 eta: 1 day, 12:04:45 time: 0.3954 data_time: 0.0153 memory: 17007 grad_norm: 7.2427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1292 loss: 2.1292 2022/07/28 08:16:31 - mmengine - INFO - Epoch(train) [93][3540/3757] lr: 4.8255e-03 eta: 1 day, 12:04:38 time: 0.4074 data_time: 0.0139 memory: 17007 grad_norm: 7.5085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8536 loss: 1.8536 2022/07/28 08:16:39 - mmengine - INFO - Epoch(train) [93][3560/3757] lr: 4.8255e-03 eta: 1 day, 12:04:30 time: 0.3941 data_time: 0.0148 memory: 17007 grad_norm: 7.4121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7060 loss: 1.7060 2022/07/28 08:16:47 - mmengine - INFO - Epoch(train) [93][3580/3757] lr: 4.8255e-03 eta: 1 day, 12:04:22 time: 0.3953 data_time: 0.0170 memory: 17007 grad_norm: 7.3932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8243 loss: 1.8243 2022/07/28 08:16:55 - mmengine - INFO - Epoch(train) [93][3600/3757] lr: 4.8255e-03 eta: 1 day, 12:04:14 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 7.1657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5295 loss: 1.5295 2022/07/28 08:17:03 - mmengine - INFO - Epoch(train) [93][3620/3757] lr: 4.8255e-03 eta: 1 day, 12:04:06 time: 0.3966 data_time: 0.0149 memory: 17007 grad_norm: 7.4986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0476 loss: 2.0476 2022/07/28 08:17:11 - mmengine - INFO - Epoch(train) [93][3640/3757] lr: 4.8255e-03 eta: 1 day, 12:03:58 time: 0.3927 data_time: 0.0155 memory: 17007 grad_norm: 7.5585 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0055 loss: 2.0055 2022/07/28 08:17:19 - mmengine - INFO - Epoch(train) [93][3660/3757] lr: 4.8255e-03 eta: 1 day, 12:03:50 time: 0.3937 data_time: 0.0140 memory: 17007 grad_norm: 7.2550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1083 loss: 2.1083 2022/07/28 08:17:27 - mmengine - INFO - Epoch(train) [93][3680/3757] lr: 4.8255e-03 eta: 1 day, 12:03:42 time: 0.3981 data_time: 0.0161 memory: 17007 grad_norm: 7.3546 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8208 loss: 1.8208 2022/07/28 08:17:34 - mmengine - INFO - Epoch(train) [93][3700/3757] lr: 4.8255e-03 eta: 1 day, 12:03:34 time: 0.3945 data_time: 0.0162 memory: 17007 grad_norm: 7.4274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7983 loss: 1.7983 2022/07/28 08:17:42 - mmengine - INFO - Epoch(train) [93][3720/3757] lr: 4.8255e-03 eta: 1 day, 12:03:26 time: 0.3992 data_time: 0.0168 memory: 17007 grad_norm: 7.5726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8726 loss: 1.8726 2022/07/28 08:17:50 - mmengine - INFO - Epoch(train) [93][3740/3757] lr: 4.8255e-03 eta: 1 day, 12:03:18 time: 0.3983 data_time: 0.0151 memory: 17007 grad_norm: 7.6721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0650 loss: 2.0650 2022/07/28 08:17:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:17:57 - mmengine - INFO - Epoch(train) [93][3757/3757] lr: 4.8255e-03 eta: 1 day, 12:03:18 time: 0.3950 data_time: 0.0164 memory: 17007 grad_norm: 7.6604 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.0191 loss: 2.0191 2022/07/28 08:17:57 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/07/28 08:18:09 - mmengine - INFO - Epoch(train) [94][20/3757] lr: 4.7383e-03 eta: 1 day, 12:02:58 time: 0.4481 data_time: 0.0683 memory: 17007 grad_norm: 7.4125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1542 loss: 2.1542 2022/07/28 08:18:18 - mmengine - INFO - Epoch(train) [94][40/3757] lr: 4.7383e-03 eta: 1 day, 12:02:50 time: 0.4062 data_time: 0.0168 memory: 17007 grad_norm: 7.3722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6361 loss: 1.6361 2022/07/28 08:18:25 - mmengine - INFO - Epoch(train) [94][60/3757] lr: 4.7383e-03 eta: 1 day, 12:02:42 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 7.5926 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1168 loss: 2.1168 2022/07/28 08:18:33 - mmengine - INFO - Epoch(train) [94][80/3757] lr: 4.7383e-03 eta: 1 day, 12:02:34 time: 0.4011 data_time: 0.0174 memory: 17007 grad_norm: 7.1310 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5776 loss: 1.5776 2022/07/28 08:18:41 - mmengine - INFO - Epoch(train) [94][100/3757] lr: 4.7383e-03 eta: 1 day, 12:02:26 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 7.5852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8168 loss: 1.8168 2022/07/28 08:18:49 - mmengine - INFO - Epoch(train) [94][120/3757] lr: 4.7383e-03 eta: 1 day, 12:02:18 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 7.3945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9433 loss: 1.9433 2022/07/28 08:18:57 - mmengine - INFO - Epoch(train) [94][140/3757] lr: 4.7383e-03 eta: 1 day, 12:02:10 time: 0.3987 data_time: 0.0147 memory: 17007 grad_norm: 7.6235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9596 loss: 1.9596 2022/07/28 08:19:05 - mmengine - INFO - Epoch(train) [94][160/3757] lr: 4.7383e-03 eta: 1 day, 12:02:02 time: 0.3949 data_time: 0.0149 memory: 17007 grad_norm: 7.6024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0220 loss: 2.0220 2022/07/28 08:19:13 - mmengine - INFO - Epoch(train) [94][180/3757] lr: 4.7383e-03 eta: 1 day, 12:01:55 time: 0.4016 data_time: 0.0159 memory: 17007 grad_norm: 7.4800 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7977 loss: 1.7977 2022/07/28 08:19:21 - mmengine - INFO - Epoch(train) [94][200/3757] lr: 4.7383e-03 eta: 1 day, 12:01:47 time: 0.3951 data_time: 0.0153 memory: 17007 grad_norm: 7.4158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7787 loss: 1.7787 2022/07/28 08:19:29 - mmengine - INFO - Epoch(train) [94][220/3757] lr: 4.7383e-03 eta: 1 day, 12:01:39 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 7.0022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6652 loss: 1.6652 2022/07/28 08:19:37 - mmengine - INFO - Epoch(train) [94][240/3757] lr: 4.7383e-03 eta: 1 day, 12:01:31 time: 0.3977 data_time: 0.0151 memory: 17007 grad_norm: 7.5636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8772 loss: 1.8772 2022/07/28 08:19:45 - mmengine - INFO - Epoch(train) [94][260/3757] lr: 4.7383e-03 eta: 1 day, 12:01:23 time: 0.3965 data_time: 0.0151 memory: 17007 grad_norm: 7.2681 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9590 loss: 1.9590 2022/07/28 08:19:53 - mmengine - INFO - Epoch(train) [94][280/3757] lr: 4.7383e-03 eta: 1 day, 12:01:15 time: 0.3963 data_time: 0.0173 memory: 17007 grad_norm: 7.4706 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.7482 loss: 1.7482 2022/07/28 08:20:01 - mmengine - INFO - Epoch(train) [94][300/3757] lr: 4.7383e-03 eta: 1 day, 12:01:07 time: 0.4118 data_time: 0.0152 memory: 17007 grad_norm: 7.5458 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0349 loss: 2.0349 2022/07/28 08:20:09 - mmengine - INFO - Epoch(train) [94][320/3757] lr: 4.7383e-03 eta: 1 day, 12:00:59 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 7.4649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8862 loss: 1.8862 2022/07/28 08:20:17 - mmengine - INFO - Epoch(train) [94][340/3757] lr: 4.7383e-03 eta: 1 day, 12:00:51 time: 0.3980 data_time: 0.0149 memory: 17007 grad_norm: 7.4550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9389 loss: 1.9389 2022/07/28 08:20:25 - mmengine - INFO - Epoch(train) [94][360/3757] lr: 4.7383e-03 eta: 1 day, 12:00:44 time: 0.4152 data_time: 0.0162 memory: 17007 grad_norm: 7.4966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9437 loss: 1.9437 2022/07/28 08:20:33 - mmengine - INFO - Epoch(train) [94][380/3757] lr: 4.7383e-03 eta: 1 day, 12:00:36 time: 0.3966 data_time: 0.0167 memory: 17007 grad_norm: 7.4757 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7486 loss: 1.7486 2022/07/28 08:20:41 - mmengine - INFO - Epoch(train) [94][400/3757] lr: 4.7383e-03 eta: 1 day, 12:00:28 time: 0.3996 data_time: 0.0156 memory: 17007 grad_norm: 7.4156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9203 loss: 1.9203 2022/07/28 08:20:49 - mmengine - INFO - Epoch(train) [94][420/3757] lr: 4.7383e-03 eta: 1 day, 12:00:20 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.5337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6741 loss: 1.6741 2022/07/28 08:20:57 - mmengine - INFO - Epoch(train) [94][440/3757] lr: 4.7383e-03 eta: 1 day, 12:00:12 time: 0.3972 data_time: 0.0165 memory: 17007 grad_norm: 7.4400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7735 loss: 1.7735 2022/07/28 08:21:05 - mmengine - INFO - Epoch(train) [94][460/3757] lr: 4.7383e-03 eta: 1 day, 12:00:04 time: 0.3999 data_time: 0.0152 memory: 17007 grad_norm: 7.2379 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8520 loss: 1.8520 2022/07/28 08:21:13 - mmengine - INFO - Epoch(train) [94][480/3757] lr: 4.7383e-03 eta: 1 day, 11:59:56 time: 0.3990 data_time: 0.0162 memory: 17007 grad_norm: 7.2118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9789 loss: 1.9789 2022/07/28 08:21:21 - mmengine - INFO - Epoch(train) [94][500/3757] lr: 4.7383e-03 eta: 1 day, 11:59:48 time: 0.3956 data_time: 0.0155 memory: 17007 grad_norm: 7.5018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0600 loss: 2.0600 2022/07/28 08:21:29 - mmengine - INFO - Epoch(train) [94][520/3757] lr: 4.7383e-03 eta: 1 day, 11:59:40 time: 0.3923 data_time: 0.0145 memory: 17007 grad_norm: 7.4050 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9022 loss: 1.9022 2022/07/28 08:21:37 - mmengine - INFO - Epoch(train) [94][540/3757] lr: 4.7383e-03 eta: 1 day, 11:59:32 time: 0.3975 data_time: 0.0159 memory: 17007 grad_norm: 7.6055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2976 loss: 2.2976 2022/07/28 08:21:45 - mmengine - INFO - Epoch(train) [94][560/3757] lr: 4.7383e-03 eta: 1 day, 11:59:24 time: 0.3978 data_time: 0.0165 memory: 17007 grad_norm: 7.5588 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7417 loss: 1.7417 2022/07/28 08:21:53 - mmengine - INFO - Epoch(train) [94][580/3757] lr: 4.7383e-03 eta: 1 day, 11:59:16 time: 0.3974 data_time: 0.0153 memory: 17007 grad_norm: 7.4611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7304 loss: 1.7304 2022/07/28 08:22:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:22:01 - mmengine - INFO - Epoch(train) [94][600/3757] lr: 4.7383e-03 eta: 1 day, 11:59:08 time: 0.3954 data_time: 0.0163 memory: 17007 grad_norm: 7.6548 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9855 loss: 1.9855 2022/07/28 08:22:09 - mmengine - INFO - Epoch(train) [94][620/3757] lr: 4.7383e-03 eta: 1 day, 11:59:00 time: 0.3941 data_time: 0.0147 memory: 17007 grad_norm: 7.6175 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7884 loss: 1.7884 2022/07/28 08:22:17 - mmengine - INFO - Epoch(train) [94][640/3757] lr: 4.7383e-03 eta: 1 day, 11:58:52 time: 0.4066 data_time: 0.0156 memory: 17007 grad_norm: 7.6562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6641 loss: 1.6641 2022/07/28 08:22:25 - mmengine - INFO - Epoch(train) [94][660/3757] lr: 4.7383e-03 eta: 1 day, 11:58:44 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 7.6719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7984 loss: 1.7984 2022/07/28 08:22:33 - mmengine - INFO - Epoch(train) [94][680/3757] lr: 4.7383e-03 eta: 1 day, 11:58:37 time: 0.4159 data_time: 0.0160 memory: 17007 grad_norm: 7.4208 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9541 loss: 1.9541 2022/07/28 08:22:41 - mmengine - INFO - Epoch(train) [94][700/3757] lr: 4.7383e-03 eta: 1 day, 11:58:29 time: 0.3980 data_time: 0.0152 memory: 17007 grad_norm: 7.3542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6379 loss: 1.6379 2022/07/28 08:22:49 - mmengine - INFO - Epoch(train) [94][720/3757] lr: 4.7383e-03 eta: 1 day, 11:58:21 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 7.4381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9076 loss: 1.9076 2022/07/28 08:22:57 - mmengine - INFO - Epoch(train) [94][740/3757] lr: 4.7383e-03 eta: 1 day, 11:58:13 time: 0.4019 data_time: 0.0149 memory: 17007 grad_norm: 7.5536 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7246 loss: 1.7246 2022/07/28 08:23:05 - mmengine - INFO - Epoch(train) [94][760/3757] lr: 4.7383e-03 eta: 1 day, 11:58:05 time: 0.3982 data_time: 0.0184 memory: 17007 grad_norm: 7.3436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6540 loss: 1.6540 2022/07/28 08:23:13 - mmengine - INFO - Epoch(train) [94][780/3757] lr: 4.7383e-03 eta: 1 day, 11:57:57 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 7.3221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7095 loss: 1.7095 2022/07/28 08:23:21 - mmengine - INFO - Epoch(train) [94][800/3757] lr: 4.7383e-03 eta: 1 day, 11:57:49 time: 0.3995 data_time: 0.0168 memory: 17007 grad_norm: 7.5912 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9400 loss: 1.9400 2022/07/28 08:23:29 - mmengine - INFO - Epoch(train) [94][820/3757] lr: 4.7383e-03 eta: 1 day, 11:57:41 time: 0.3953 data_time: 0.0140 memory: 17007 grad_norm: 7.5806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8814 loss: 1.8814 2022/07/28 08:23:37 - mmengine - INFO - Epoch(train) [94][840/3757] lr: 4.7383e-03 eta: 1 day, 11:57:33 time: 0.3965 data_time: 0.0155 memory: 17007 grad_norm: 7.6025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9694 loss: 1.9694 2022/07/28 08:23:45 - mmengine - INFO - Epoch(train) [94][860/3757] lr: 4.7383e-03 eta: 1 day, 11:57:25 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 7.1894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9489 loss: 1.9489 2022/07/28 08:23:52 - mmengine - INFO - Epoch(train) [94][880/3757] lr: 4.7383e-03 eta: 1 day, 11:57:17 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 7.3783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6320 loss: 1.6320 2022/07/28 08:24:00 - mmengine - INFO - Epoch(train) [94][900/3757] lr: 4.7383e-03 eta: 1 day, 11:57:09 time: 0.3986 data_time: 0.0150 memory: 17007 grad_norm: 7.6055 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9862 loss: 1.9862 2022/07/28 08:24:08 - mmengine - INFO - Epoch(train) [94][920/3757] lr: 4.7383e-03 eta: 1 day, 11:57:02 time: 0.3971 data_time: 0.0161 memory: 17007 grad_norm: 7.6802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7880 loss: 1.7880 2022/07/28 08:24:16 - mmengine - INFO - Epoch(train) [94][940/3757] lr: 4.7383e-03 eta: 1 day, 11:56:54 time: 0.3970 data_time: 0.0154 memory: 17007 grad_norm: 7.4283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1854 loss: 2.1854 2022/07/28 08:24:24 - mmengine - INFO - Epoch(train) [94][960/3757] lr: 4.7383e-03 eta: 1 day, 11:56:46 time: 0.3995 data_time: 0.0156 memory: 17007 grad_norm: 7.7249 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1045 loss: 2.1045 2022/07/28 08:24:32 - mmengine - INFO - Epoch(train) [94][980/3757] lr: 4.7383e-03 eta: 1 day, 11:56:38 time: 0.3958 data_time: 0.0163 memory: 17007 grad_norm: 7.3164 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9709 loss: 1.9709 2022/07/28 08:24:40 - mmengine - INFO - Epoch(train) [94][1000/3757] lr: 4.7383e-03 eta: 1 day, 11:56:30 time: 0.3950 data_time: 0.0158 memory: 17007 grad_norm: 7.6111 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9289 loss: 1.9289 2022/07/28 08:24:48 - mmengine - INFO - Epoch(train) [94][1020/3757] lr: 4.7383e-03 eta: 1 day, 11:56:22 time: 0.3954 data_time: 0.0153 memory: 17007 grad_norm: 7.7085 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9444 loss: 1.9444 2022/07/28 08:24:56 - mmengine - INFO - Epoch(train) [94][1040/3757] lr: 4.7383e-03 eta: 1 day, 11:56:14 time: 0.3965 data_time: 0.0160 memory: 17007 grad_norm: 7.5390 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8136 loss: 1.8136 2022/07/28 08:25:04 - mmengine - INFO - Epoch(train) [94][1060/3757] lr: 4.7383e-03 eta: 1 day, 11:56:06 time: 0.4031 data_time: 0.0161 memory: 17007 grad_norm: 7.4548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0553 loss: 2.0553 2022/07/28 08:25:12 - mmengine - INFO - Epoch(train) [94][1080/3757] lr: 4.7383e-03 eta: 1 day, 11:55:58 time: 0.3962 data_time: 0.0163 memory: 17007 grad_norm: 7.5204 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0040 loss: 2.0040 2022/07/28 08:25:20 - mmengine - INFO - Epoch(train) [94][1100/3757] lr: 4.7383e-03 eta: 1 day, 11:55:50 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 7.5093 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0100 loss: 2.0100 2022/07/28 08:25:28 - mmengine - INFO - Epoch(train) [94][1120/3757] lr: 4.7383e-03 eta: 1 day, 11:55:42 time: 0.3941 data_time: 0.0158 memory: 17007 grad_norm: 7.5799 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9927 loss: 1.9927 2022/07/28 08:25:36 - mmengine - INFO - Epoch(train) [94][1140/3757] lr: 4.7383e-03 eta: 1 day, 11:55:34 time: 0.3979 data_time: 0.0155 memory: 17007 grad_norm: 7.2223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8895 loss: 1.8895 2022/07/28 08:25:44 - mmengine - INFO - Epoch(train) [94][1160/3757] lr: 4.7383e-03 eta: 1 day, 11:55:26 time: 0.3977 data_time: 0.0154 memory: 17007 grad_norm: 7.5106 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0026 loss: 2.0026 2022/07/28 08:25:52 - mmengine - INFO - Epoch(train) [94][1180/3757] lr: 4.7383e-03 eta: 1 day, 11:55:18 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 7.7073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8603 loss: 1.8603 2022/07/28 08:26:00 - mmengine - INFO - Epoch(train) [94][1200/3757] lr: 4.7383e-03 eta: 1 day, 11:55:10 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 7.5331 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7004 loss: 1.7004 2022/07/28 08:26:08 - mmengine - INFO - Epoch(train) [94][1220/3757] lr: 4.7383e-03 eta: 1 day, 11:55:02 time: 0.4006 data_time: 0.0154 memory: 17007 grad_norm: 7.4113 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8183 loss: 1.8183 2022/07/28 08:26:15 - mmengine - INFO - Epoch(train) [94][1240/3757] lr: 4.7383e-03 eta: 1 day, 11:54:54 time: 0.3959 data_time: 0.0158 memory: 17007 grad_norm: 7.4812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0021 loss: 2.0021 2022/07/28 08:26:23 - mmengine - INFO - Epoch(train) [94][1260/3757] lr: 4.7383e-03 eta: 1 day, 11:54:46 time: 0.3985 data_time: 0.0171 memory: 17007 grad_norm: 7.2388 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8403 loss: 1.8403 2022/07/28 08:26:31 - mmengine - INFO - Epoch(train) [94][1280/3757] lr: 4.7383e-03 eta: 1 day, 11:54:39 time: 0.3968 data_time: 0.0161 memory: 17007 grad_norm: 7.7100 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9818 loss: 1.9818 2022/07/28 08:26:39 - mmengine - INFO - Epoch(train) [94][1300/3757] lr: 4.7383e-03 eta: 1 day, 11:54:31 time: 0.3941 data_time: 0.0159 memory: 17007 grad_norm: 8.0316 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8426 loss: 1.8426 2022/07/28 08:26:47 - mmengine - INFO - Epoch(train) [94][1320/3757] lr: 4.7383e-03 eta: 1 day, 11:54:23 time: 0.3958 data_time: 0.0156 memory: 17007 grad_norm: 7.7808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8087 loss: 1.8087 2022/07/28 08:26:55 - mmengine - INFO - Epoch(train) [94][1340/3757] lr: 4.7383e-03 eta: 1 day, 11:54:15 time: 0.3962 data_time: 0.0150 memory: 17007 grad_norm: 7.3810 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1581 loss: 2.1581 2022/07/28 08:27:03 - mmengine - INFO - Epoch(train) [94][1360/3757] lr: 4.7383e-03 eta: 1 day, 11:54:07 time: 0.4053 data_time: 0.0164 memory: 17007 grad_norm: 7.8345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9487 loss: 1.9487 2022/07/28 08:27:11 - mmengine - INFO - Epoch(train) [94][1380/3757] lr: 4.7383e-03 eta: 1 day, 11:53:59 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 7.7777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7907 loss: 1.7907 2022/07/28 08:27:19 - mmengine - INFO - Epoch(train) [94][1400/3757] lr: 4.7383e-03 eta: 1 day, 11:53:51 time: 0.3942 data_time: 0.0154 memory: 17007 grad_norm: 7.3450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8516 loss: 1.8516 2022/07/28 08:27:27 - mmengine - INFO - Epoch(train) [94][1420/3757] lr: 4.7383e-03 eta: 1 day, 11:53:43 time: 0.4006 data_time: 0.0158 memory: 17007 grad_norm: 7.3605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7002 loss: 1.7002 2022/07/28 08:27:35 - mmengine - INFO - Epoch(train) [94][1440/3757] lr: 4.7383e-03 eta: 1 day, 11:53:35 time: 0.3982 data_time: 0.0145 memory: 17007 grad_norm: 7.7639 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0130 loss: 2.0130 2022/07/28 08:27:43 - mmengine - INFO - Epoch(train) [94][1460/3757] lr: 4.7383e-03 eta: 1 day, 11:53:27 time: 0.3966 data_time: 0.0157 memory: 17007 grad_norm: 7.5759 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0185 loss: 2.0185 2022/07/28 08:27:51 - mmengine - INFO - Epoch(train) [94][1480/3757] lr: 4.7383e-03 eta: 1 day, 11:53:19 time: 0.3966 data_time: 0.0156 memory: 17007 grad_norm: 7.1549 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9823 loss: 1.9823 2022/07/28 08:27:59 - mmengine - INFO - Epoch(train) [94][1500/3757] lr: 4.7383e-03 eta: 1 day, 11:53:11 time: 0.3918 data_time: 0.0131 memory: 17007 grad_norm: 7.4404 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0967 loss: 2.0967 2022/07/28 08:28:07 - mmengine - INFO - Epoch(train) [94][1520/3757] lr: 4.7383e-03 eta: 1 day, 11:53:03 time: 0.3953 data_time: 0.0148 memory: 17007 grad_norm: 7.6305 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7517 loss: 1.7517 2022/07/28 08:28:15 - mmengine - INFO - Epoch(train) [94][1540/3757] lr: 4.7383e-03 eta: 1 day, 11:52:55 time: 0.3970 data_time: 0.0148 memory: 17007 grad_norm: 7.5274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7620 loss: 1.7620 2022/07/28 08:28:23 - mmengine - INFO - Epoch(train) [94][1560/3757] lr: 4.7383e-03 eta: 1 day, 11:52:47 time: 0.3977 data_time: 0.0172 memory: 17007 grad_norm: 7.4323 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9419 loss: 1.9419 2022/07/28 08:28:31 - mmengine - INFO - Epoch(train) [94][1580/3757] lr: 4.7383e-03 eta: 1 day, 11:52:39 time: 0.3959 data_time: 0.0150 memory: 17007 grad_norm: 7.7048 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9279 loss: 1.9279 2022/07/28 08:28:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:28:39 - mmengine - INFO - Epoch(train) [94][1600/3757] lr: 4.7383e-03 eta: 1 day, 11:52:31 time: 0.3971 data_time: 0.0156 memory: 17007 grad_norm: 7.4505 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0129 loss: 2.0129 2022/07/28 08:28:46 - mmengine - INFO - Epoch(train) [94][1620/3757] lr: 4.7383e-03 eta: 1 day, 11:52:23 time: 0.3968 data_time: 0.0164 memory: 17007 grad_norm: 7.9308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8527 loss: 1.8527 2022/07/28 08:28:54 - mmengine - INFO - Epoch(train) [94][1640/3757] lr: 4.7383e-03 eta: 1 day, 11:52:15 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 7.6020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0184 loss: 2.0184 2022/07/28 08:29:02 - mmengine - INFO - Epoch(train) [94][1660/3757] lr: 4.7383e-03 eta: 1 day, 11:52:07 time: 0.3945 data_time: 0.0154 memory: 17007 grad_norm: 7.5545 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8915 loss: 1.8915 2022/07/28 08:29:10 - mmengine - INFO - Epoch(train) [94][1680/3757] lr: 4.7383e-03 eta: 1 day, 11:51:59 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 7.6216 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8537 loss: 1.8537 2022/07/28 08:29:18 - mmengine - INFO - Epoch(train) [94][1700/3757] lr: 4.7383e-03 eta: 1 day, 11:51:51 time: 0.3956 data_time: 0.0147 memory: 17007 grad_norm: 7.3670 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9437 loss: 1.9437 2022/07/28 08:29:26 - mmengine - INFO - Epoch(train) [94][1720/3757] lr: 4.7383e-03 eta: 1 day, 11:51:44 time: 0.3977 data_time: 0.0162 memory: 17007 grad_norm: 7.6422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9368 loss: 1.9368 2022/07/28 08:29:34 - mmengine - INFO - Epoch(train) [94][1740/3757] lr: 4.7383e-03 eta: 1 day, 11:51:36 time: 0.3953 data_time: 0.0150 memory: 17007 grad_norm: 7.8950 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9475 loss: 1.9475 2022/07/28 08:29:42 - mmengine - INFO - Epoch(train) [94][1760/3757] lr: 4.7383e-03 eta: 1 day, 11:51:28 time: 0.4028 data_time: 0.0176 memory: 17007 grad_norm: 7.4947 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9787 loss: 1.9787 2022/07/28 08:29:50 - mmengine - INFO - Epoch(train) [94][1780/3757] lr: 4.7383e-03 eta: 1 day, 11:51:20 time: 0.3945 data_time: 0.0148 memory: 17007 grad_norm: 7.2751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6162 loss: 1.6162 2022/07/28 08:29:58 - mmengine - INFO - Epoch(train) [94][1800/3757] lr: 4.7383e-03 eta: 1 day, 11:51:12 time: 0.3958 data_time: 0.0156 memory: 17007 grad_norm: 7.5280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9958 loss: 1.9958 2022/07/28 08:30:06 - mmengine - INFO - Epoch(train) [94][1820/3757] lr: 4.7383e-03 eta: 1 day, 11:51:04 time: 0.3957 data_time: 0.0166 memory: 17007 grad_norm: 7.6251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0760 loss: 2.0760 2022/07/28 08:30:14 - mmengine - INFO - Epoch(train) [94][1840/3757] lr: 4.7383e-03 eta: 1 day, 11:50:56 time: 0.3977 data_time: 0.0157 memory: 17007 grad_norm: 8.0604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8760 loss: 1.8760 2022/07/28 08:30:22 - mmengine - INFO - Epoch(train) [94][1860/3757] lr: 4.7383e-03 eta: 1 day, 11:50:48 time: 0.3961 data_time: 0.0167 memory: 17007 grad_norm: 7.7727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0948 loss: 2.0948 2022/07/28 08:30:30 - mmengine - INFO - Epoch(train) [94][1880/3757] lr: 4.7383e-03 eta: 1 day, 11:50:40 time: 0.3941 data_time: 0.0146 memory: 17007 grad_norm: 7.4195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9801 loss: 1.9801 2022/07/28 08:30:38 - mmengine - INFO - Epoch(train) [94][1900/3757] lr: 4.7383e-03 eta: 1 day, 11:50:32 time: 0.3995 data_time: 0.0146 memory: 17007 grad_norm: 7.4305 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0243 loss: 2.0243 2022/07/28 08:30:46 - mmengine - INFO - Epoch(train) [94][1920/3757] lr: 4.7383e-03 eta: 1 day, 11:50:24 time: 0.4013 data_time: 0.0168 memory: 17007 grad_norm: 7.4438 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9807 loss: 1.9807 2022/07/28 08:30:54 - mmengine - INFO - Epoch(train) [94][1940/3757] lr: 4.7383e-03 eta: 1 day, 11:50:16 time: 0.4104 data_time: 0.0147 memory: 17007 grad_norm: 7.3050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8712 loss: 1.8712 2022/07/28 08:31:02 - mmengine - INFO - Epoch(train) [94][1960/3757] lr: 4.7383e-03 eta: 1 day, 11:50:09 time: 0.3988 data_time: 0.0166 memory: 17007 grad_norm: 7.5347 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9226 loss: 1.9226 2022/07/28 08:31:10 - mmengine - INFO - Epoch(train) [94][1980/3757] lr: 4.7383e-03 eta: 1 day, 11:50:01 time: 0.3941 data_time: 0.0147 memory: 17007 grad_norm: 7.5093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8821 loss: 1.8821 2022/07/28 08:31:18 - mmengine - INFO - Epoch(train) [94][2000/3757] lr: 4.7383e-03 eta: 1 day, 11:49:53 time: 0.3953 data_time: 0.0152 memory: 17007 grad_norm: 7.5513 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9982 loss: 1.9982 2022/07/28 08:31:26 - mmengine - INFO - Epoch(train) [94][2020/3757] lr: 4.7383e-03 eta: 1 day, 11:49:45 time: 0.4005 data_time: 0.0166 memory: 17007 grad_norm: 7.3501 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8702 loss: 1.8702 2022/07/28 08:31:34 - mmengine - INFO - Epoch(train) [94][2040/3757] lr: 4.7383e-03 eta: 1 day, 11:49:37 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 7.6735 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9012 loss: 1.9012 2022/07/28 08:31:42 - mmengine - INFO - Epoch(train) [94][2060/3757] lr: 4.7383e-03 eta: 1 day, 11:49:29 time: 0.4058 data_time: 0.0163 memory: 17007 grad_norm: 7.3193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7823 loss: 1.7823 2022/07/28 08:31:50 - mmengine - INFO - Epoch(train) [94][2080/3757] lr: 4.7383e-03 eta: 1 day, 11:49:21 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 7.6847 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8426 loss: 1.8426 2022/07/28 08:31:58 - mmengine - INFO - Epoch(train) [94][2100/3757] lr: 4.7383e-03 eta: 1 day, 11:49:13 time: 0.4020 data_time: 0.0166 memory: 17007 grad_norm: 7.6032 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9937 loss: 1.9937 2022/07/28 08:32:06 - mmengine - INFO - Epoch(train) [94][2120/3757] lr: 4.7383e-03 eta: 1 day, 11:49:05 time: 0.3950 data_time: 0.0152 memory: 17007 grad_norm: 7.4835 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2469 loss: 2.2469 2022/07/28 08:32:14 - mmengine - INFO - Epoch(train) [94][2140/3757] lr: 4.7383e-03 eta: 1 day, 11:48:57 time: 0.3979 data_time: 0.0173 memory: 17007 grad_norm: 7.3378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7988 loss: 1.7988 2022/07/28 08:32:21 - mmengine - INFO - Epoch(train) [94][2160/3757] lr: 4.7383e-03 eta: 1 day, 11:48:49 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.8131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7472 loss: 1.7472 2022/07/28 08:32:29 - mmengine - INFO - Epoch(train) [94][2180/3757] lr: 4.7383e-03 eta: 1 day, 11:48:41 time: 0.3951 data_time: 0.0163 memory: 17007 grad_norm: 7.1952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9935 loss: 1.9935 2022/07/28 08:32:37 - mmengine - INFO - Epoch(train) [94][2200/3757] lr: 4.7383e-03 eta: 1 day, 11:48:33 time: 0.3956 data_time: 0.0147 memory: 17007 grad_norm: 7.4767 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.8325 loss: 1.8325 2022/07/28 08:32:45 - mmengine - INFO - Epoch(train) [94][2220/3757] lr: 4.7383e-03 eta: 1 day, 11:48:25 time: 0.3964 data_time: 0.0159 memory: 17007 grad_norm: 7.5741 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0049 loss: 2.0049 2022/07/28 08:32:53 - mmengine - INFO - Epoch(train) [94][2240/3757] lr: 4.7383e-03 eta: 1 day, 11:48:17 time: 0.3974 data_time: 0.0163 memory: 17007 grad_norm: 7.2388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7547 loss: 1.7547 2022/07/28 08:33:01 - mmengine - INFO - Epoch(train) [94][2260/3757] lr: 4.7383e-03 eta: 1 day, 11:48:09 time: 0.3956 data_time: 0.0153 memory: 17007 grad_norm: 7.6369 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2571 loss: 2.2571 2022/07/28 08:33:09 - mmengine - INFO - Epoch(train) [94][2280/3757] lr: 4.7383e-03 eta: 1 day, 11:48:01 time: 0.3966 data_time: 0.0172 memory: 17007 grad_norm: 7.4263 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2079 loss: 2.2079 2022/07/28 08:33:17 - mmengine - INFO - Epoch(train) [94][2300/3757] lr: 4.7383e-03 eta: 1 day, 11:47:53 time: 0.3940 data_time: 0.0159 memory: 17007 grad_norm: 7.0853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5006 loss: 1.5006 2022/07/28 08:33:25 - mmengine - INFO - Epoch(train) [94][2320/3757] lr: 4.7383e-03 eta: 1 day, 11:47:45 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 7.5377 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2277 loss: 2.2277 2022/07/28 08:33:33 - mmengine - INFO - Epoch(train) [94][2340/3757] lr: 4.7383e-03 eta: 1 day, 11:47:37 time: 0.3953 data_time: 0.0173 memory: 17007 grad_norm: 7.2726 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0072 loss: 2.0072 2022/07/28 08:33:41 - mmengine - INFO - Epoch(train) [94][2360/3757] lr: 4.7383e-03 eta: 1 day, 11:47:29 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 7.4099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0307 loss: 2.0307 2022/07/28 08:33:49 - mmengine - INFO - Epoch(train) [94][2380/3757] lr: 4.7383e-03 eta: 1 day, 11:47:22 time: 0.3999 data_time: 0.0166 memory: 17007 grad_norm: 7.5324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8404 loss: 1.8404 2022/07/28 08:33:57 - mmengine - INFO - Epoch(train) [94][2400/3757] lr: 4.7383e-03 eta: 1 day, 11:47:14 time: 0.3948 data_time: 0.0168 memory: 17007 grad_norm: 7.7944 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1979 loss: 2.1979 2022/07/28 08:34:05 - mmengine - INFO - Epoch(train) [94][2420/3757] lr: 4.7383e-03 eta: 1 day, 11:47:06 time: 0.3991 data_time: 0.0166 memory: 17007 grad_norm: 7.7659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9028 loss: 1.9028 2022/07/28 08:34:12 - mmengine - INFO - Epoch(train) [94][2440/3757] lr: 4.7383e-03 eta: 1 day, 11:46:58 time: 0.3939 data_time: 0.0156 memory: 17007 grad_norm: 7.7521 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0353 loss: 2.0353 2022/07/28 08:34:20 - mmengine - INFO - Epoch(train) [94][2460/3757] lr: 4.7383e-03 eta: 1 day, 11:46:50 time: 0.3955 data_time: 0.0142 memory: 17007 grad_norm: 7.6585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8150 loss: 1.8150 2022/07/28 08:34:28 - mmengine - INFO - Epoch(train) [94][2480/3757] lr: 4.7383e-03 eta: 1 day, 11:46:42 time: 0.4027 data_time: 0.0155 memory: 17007 grad_norm: 7.4089 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6983 loss: 1.6983 2022/07/28 08:34:36 - mmengine - INFO - Epoch(train) [94][2500/3757] lr: 4.7383e-03 eta: 1 day, 11:46:34 time: 0.3949 data_time: 0.0145 memory: 17007 grad_norm: 7.4558 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8392 loss: 1.8392 2022/07/28 08:34:44 - mmengine - INFO - Epoch(train) [94][2520/3757] lr: 4.7383e-03 eta: 1 day, 11:46:26 time: 0.3948 data_time: 0.0150 memory: 17007 grad_norm: 7.6057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9983 loss: 1.9983 2022/07/28 08:34:52 - mmengine - INFO - Epoch(train) [94][2540/3757] lr: 4.7383e-03 eta: 1 day, 11:46:18 time: 0.3965 data_time: 0.0164 memory: 17007 grad_norm: 7.8592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7900 loss: 1.7900 2022/07/28 08:35:00 - mmengine - INFO - Epoch(train) [94][2560/3757] lr: 4.7383e-03 eta: 1 day, 11:46:10 time: 0.3946 data_time: 0.0146 memory: 17007 grad_norm: 7.8862 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8613 loss: 1.8613 2022/07/28 08:35:08 - mmengine - INFO - Epoch(train) [94][2580/3757] lr: 4.7383e-03 eta: 1 day, 11:46:02 time: 0.3951 data_time: 0.0147 memory: 17007 grad_norm: 7.5716 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7002 loss: 1.7002 2022/07/28 08:35:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:35:16 - mmengine - INFO - Epoch(train) [94][2600/3757] lr: 4.7383e-03 eta: 1 day, 11:45:54 time: 0.3957 data_time: 0.0167 memory: 17007 grad_norm: 7.7783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9849 loss: 1.9849 2022/07/28 08:35:24 - mmengine - INFO - Epoch(train) [94][2620/3757] lr: 4.7383e-03 eta: 1 day, 11:45:46 time: 0.3944 data_time: 0.0150 memory: 17007 grad_norm: 7.6839 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1935 loss: 2.1935 2022/07/28 08:35:32 - mmengine - INFO - Epoch(train) [94][2640/3757] lr: 4.7383e-03 eta: 1 day, 11:45:38 time: 0.3948 data_time: 0.0150 memory: 17007 grad_norm: 7.4767 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0748 loss: 2.0748 2022/07/28 08:35:40 - mmengine - INFO - Epoch(train) [94][2660/3757] lr: 4.7383e-03 eta: 1 day, 11:45:30 time: 0.3933 data_time: 0.0142 memory: 17007 grad_norm: 7.3665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0769 loss: 2.0769 2022/07/28 08:35:48 - mmengine - INFO - Epoch(train) [94][2680/3757] lr: 4.7383e-03 eta: 1 day, 11:45:22 time: 0.3955 data_time: 0.0156 memory: 17007 grad_norm: 7.5191 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7050 loss: 1.7050 2022/07/28 08:35:55 - mmengine - INFO - Epoch(train) [94][2700/3757] lr: 4.7383e-03 eta: 1 day, 11:45:14 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 7.6398 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8365 loss: 1.8365 2022/07/28 08:36:03 - mmengine - INFO - Epoch(train) [94][2720/3757] lr: 4.7383e-03 eta: 1 day, 11:45:06 time: 0.3960 data_time: 0.0165 memory: 17007 grad_norm: 7.5414 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1229 loss: 2.1229 2022/07/28 08:36:11 - mmengine - INFO - Epoch(train) [94][2740/3757] lr: 4.7383e-03 eta: 1 day, 11:44:58 time: 0.3951 data_time: 0.0147 memory: 17007 grad_norm: 7.4307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8587 loss: 1.8587 2022/07/28 08:36:19 - mmengine - INFO - Epoch(train) [94][2760/3757] lr: 4.7383e-03 eta: 1 day, 11:44:50 time: 0.4030 data_time: 0.0148 memory: 17007 grad_norm: 7.5159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3213 loss: 2.3213 2022/07/28 08:36:27 - mmengine - INFO - Epoch(train) [94][2780/3757] lr: 4.7383e-03 eta: 1 day, 11:44:42 time: 0.3974 data_time: 0.0149 memory: 17007 grad_norm: 7.2715 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1033 loss: 2.1033 2022/07/28 08:36:35 - mmengine - INFO - Epoch(train) [94][2800/3757] lr: 4.7383e-03 eta: 1 day, 11:44:34 time: 0.3947 data_time: 0.0159 memory: 17007 grad_norm: 7.5491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0322 loss: 2.0322 2022/07/28 08:36:43 - mmengine - INFO - Epoch(train) [94][2820/3757] lr: 4.7383e-03 eta: 1 day, 11:44:26 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 7.5924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8750 loss: 1.8750 2022/07/28 08:36:51 - mmengine - INFO - Epoch(train) [94][2840/3757] lr: 4.7383e-03 eta: 1 day, 11:44:18 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 7.2776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1849 loss: 2.1849 2022/07/28 08:36:59 - mmengine - INFO - Epoch(train) [94][2860/3757] lr: 4.7383e-03 eta: 1 day, 11:44:10 time: 0.3962 data_time: 0.0158 memory: 17007 grad_norm: 7.2680 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9885 loss: 1.9885 2022/07/28 08:37:07 - mmengine - INFO - Epoch(train) [94][2880/3757] lr: 4.7383e-03 eta: 1 day, 11:44:03 time: 0.3990 data_time: 0.0158 memory: 17007 grad_norm: 7.6342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8493 loss: 1.8493 2022/07/28 08:37:15 - mmengine - INFO - Epoch(train) [94][2900/3757] lr: 4.7383e-03 eta: 1 day, 11:43:55 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 7.3383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1287 loss: 2.1287 2022/07/28 08:37:23 - mmengine - INFO - Epoch(train) [94][2920/3757] lr: 4.7383e-03 eta: 1 day, 11:43:47 time: 0.3973 data_time: 0.0160 memory: 17007 grad_norm: 7.6270 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9203 loss: 1.9203 2022/07/28 08:37:31 - mmengine - INFO - Epoch(train) [94][2940/3757] lr: 4.7383e-03 eta: 1 day, 11:43:39 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 7.3608 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2410 loss: 2.2410 2022/07/28 08:37:39 - mmengine - INFO - Epoch(train) [94][2960/3757] lr: 4.7383e-03 eta: 1 day, 11:43:31 time: 0.3966 data_time: 0.0164 memory: 17007 grad_norm: 7.6367 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0126 loss: 2.0126 2022/07/28 08:37:47 - mmengine - INFO - Epoch(train) [94][2980/3757] lr: 4.7383e-03 eta: 1 day, 11:43:23 time: 0.3986 data_time: 0.0151 memory: 17007 grad_norm: 7.3215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0044 loss: 2.0044 2022/07/28 08:37:55 - mmengine - INFO - Epoch(train) [94][3000/3757] lr: 4.7383e-03 eta: 1 day, 11:43:15 time: 0.3972 data_time: 0.0170 memory: 17007 grad_norm: 7.5508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7208 loss: 1.7208 2022/07/28 08:38:03 - mmengine - INFO - Epoch(train) [94][3020/3757] lr: 4.7383e-03 eta: 1 day, 11:43:07 time: 0.3956 data_time: 0.0149 memory: 17007 grad_norm: 7.5570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7501 loss: 1.7501 2022/07/28 08:38:10 - mmengine - INFO - Epoch(train) [94][3040/3757] lr: 4.7383e-03 eta: 1 day, 11:42:59 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 7.6513 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7332 loss: 1.7332 2022/07/28 08:38:18 - mmengine - INFO - Epoch(train) [94][3060/3757] lr: 4.7383e-03 eta: 1 day, 11:42:51 time: 0.3956 data_time: 0.0151 memory: 17007 grad_norm: 7.6891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8985 loss: 1.8985 2022/07/28 08:38:26 - mmengine - INFO - Epoch(train) [94][3080/3757] lr: 4.7383e-03 eta: 1 day, 11:42:43 time: 0.4019 data_time: 0.0157 memory: 17007 grad_norm: 7.1477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0022 loss: 2.0022 2022/07/28 08:38:34 - mmengine - INFO - Epoch(train) [94][3100/3757] lr: 4.7383e-03 eta: 1 day, 11:42:35 time: 0.4013 data_time: 0.0156 memory: 17007 grad_norm: 7.8159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3306 loss: 2.3306 2022/07/28 08:38:42 - mmengine - INFO - Epoch(train) [94][3120/3757] lr: 4.7383e-03 eta: 1 day, 11:42:27 time: 0.3978 data_time: 0.0146 memory: 17007 grad_norm: 7.6135 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9823 loss: 1.9823 2022/07/28 08:38:50 - mmengine - INFO - Epoch(train) [94][3140/3757] lr: 4.7383e-03 eta: 1 day, 11:42:19 time: 0.3924 data_time: 0.0149 memory: 17007 grad_norm: 7.3481 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7532 loss: 1.7532 2022/07/28 08:38:58 - mmengine - INFO - Epoch(train) [94][3160/3757] lr: 4.7383e-03 eta: 1 day, 11:42:11 time: 0.4043 data_time: 0.0162 memory: 17007 grad_norm: 7.4274 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1178 loss: 2.1178 2022/07/28 08:39:06 - mmengine - INFO - Epoch(train) [94][3180/3757] lr: 4.7383e-03 eta: 1 day, 11:42:03 time: 0.3956 data_time: 0.0147 memory: 17007 grad_norm: 7.7714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0069 loss: 2.0069 2022/07/28 08:39:14 - mmengine - INFO - Epoch(train) [94][3200/3757] lr: 4.7383e-03 eta: 1 day, 11:41:56 time: 0.4105 data_time: 0.0167 memory: 17007 grad_norm: 7.7957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7678 loss: 1.7678 2022/07/28 08:39:22 - mmengine - INFO - Epoch(train) [94][3220/3757] lr: 4.7383e-03 eta: 1 day, 11:41:48 time: 0.3976 data_time: 0.0153 memory: 17007 grad_norm: 7.7255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0976 loss: 2.0976 2022/07/28 08:39:30 - mmengine - INFO - Epoch(train) [94][3240/3757] lr: 4.7383e-03 eta: 1 day, 11:41:40 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 7.5871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0953 loss: 2.0953 2022/07/28 08:39:38 - mmengine - INFO - Epoch(train) [94][3260/3757] lr: 4.7383e-03 eta: 1 day, 11:41:32 time: 0.3968 data_time: 0.0163 memory: 17007 grad_norm: 7.3189 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7472 loss: 1.7472 2022/07/28 08:39:46 - mmengine - INFO - Epoch(train) [94][3280/3757] lr: 4.7383e-03 eta: 1 day, 11:41:24 time: 0.3945 data_time: 0.0150 memory: 17007 grad_norm: 7.8511 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0561 loss: 2.0561 2022/07/28 08:39:54 - mmengine - INFO - Epoch(train) [94][3300/3757] lr: 4.7383e-03 eta: 1 day, 11:41:16 time: 0.3965 data_time: 0.0162 memory: 17007 grad_norm: 7.6182 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9193 loss: 1.9193 2022/07/28 08:40:02 - mmengine - INFO - Epoch(train) [94][3320/3757] lr: 4.7383e-03 eta: 1 day, 11:41:08 time: 0.3988 data_time: 0.0148 memory: 17007 grad_norm: 7.7769 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8459 loss: 1.8459 2022/07/28 08:40:10 - mmengine - INFO - Epoch(train) [94][3340/3757] lr: 4.7383e-03 eta: 1 day, 11:41:00 time: 0.3966 data_time: 0.0155 memory: 17007 grad_norm: 7.5385 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8208 loss: 1.8208 2022/07/28 08:40:18 - mmengine - INFO - Epoch(train) [94][3360/3757] lr: 4.7383e-03 eta: 1 day, 11:40:52 time: 0.3967 data_time: 0.0147 memory: 17007 grad_norm: 7.4350 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9458 loss: 1.9458 2022/07/28 08:40:26 - mmengine - INFO - Epoch(train) [94][3380/3757] lr: 4.7383e-03 eta: 1 day, 11:40:44 time: 0.3961 data_time: 0.0150 memory: 17007 grad_norm: 7.5091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8797 loss: 1.8797 2022/07/28 08:40:34 - mmengine - INFO - Epoch(train) [94][3400/3757] lr: 4.7383e-03 eta: 1 day, 11:40:36 time: 0.3990 data_time: 0.0170 memory: 17007 grad_norm: 7.5804 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9539 loss: 1.9539 2022/07/28 08:40:42 - mmengine - INFO - Epoch(train) [94][3420/3757] lr: 4.7383e-03 eta: 1 day, 11:40:28 time: 0.3946 data_time: 0.0151 memory: 17007 grad_norm: 7.6436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8892 loss: 1.8892 2022/07/28 08:40:50 - mmengine - INFO - Epoch(train) [94][3440/3757] lr: 4.7383e-03 eta: 1 day, 11:40:20 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 7.6821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2635 loss: 2.2635 2022/07/28 08:40:58 - mmengine - INFO - Epoch(train) [94][3460/3757] lr: 4.7383e-03 eta: 1 day, 11:40:12 time: 0.3959 data_time: 0.0146 memory: 17007 grad_norm: 7.3957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7939 loss: 1.7939 2022/07/28 08:41:06 - mmengine - INFO - Epoch(train) [94][3480/3757] lr: 4.7383e-03 eta: 1 day, 11:40:04 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 7.6471 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0270 loss: 2.0270 2022/07/28 08:41:13 - mmengine - INFO - Epoch(train) [94][3500/3757] lr: 4.7383e-03 eta: 1 day, 11:39:56 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 8.3316 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8329 loss: 1.8329 2022/07/28 08:41:24 - mmengine - INFO - Epoch(train) [94][3520/3757] lr: 4.7383e-03 eta: 1 day, 11:39:50 time: 0.5027 data_time: 0.0162 memory: 17007 grad_norm: 7.8237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9401 loss: 1.9401 2022/07/28 08:41:31 - mmengine - INFO - Epoch(train) [94][3540/3757] lr: 4.7383e-03 eta: 1 day, 11:39:42 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 7.5599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8833 loss: 1.8833 2022/07/28 08:41:40 - mmengine - INFO - Epoch(train) [94][3560/3757] lr: 4.7383e-03 eta: 1 day, 11:39:35 time: 0.4031 data_time: 0.0151 memory: 17007 grad_norm: 7.5768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7662 loss: 1.7662 2022/07/28 08:41:47 - mmengine - INFO - Epoch(train) [94][3580/3757] lr: 4.7383e-03 eta: 1 day, 11:39:27 time: 0.3970 data_time: 0.0154 memory: 17007 grad_norm: 7.4277 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6532 loss: 1.6532 2022/07/28 08:41:55 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:41:55 - mmengine - INFO - Epoch(train) [94][3600/3757] lr: 4.7383e-03 eta: 1 day, 11:39:19 time: 0.3998 data_time: 0.0131 memory: 17007 grad_norm: 7.3655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7955 loss: 1.7955 2022/07/28 08:42:03 - mmengine - INFO - Epoch(train) [94][3620/3757] lr: 4.7383e-03 eta: 1 day, 11:39:11 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 7.3133 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0167 loss: 2.0167 2022/07/28 08:42:11 - mmengine - INFO - Epoch(train) [94][3640/3757] lr: 4.7383e-03 eta: 1 day, 11:39:03 time: 0.3928 data_time: 0.0134 memory: 17007 grad_norm: 7.4030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6884 loss: 1.6884 2022/07/28 08:42:19 - mmengine - INFO - Epoch(train) [94][3660/3757] lr: 4.7383e-03 eta: 1 day, 11:38:55 time: 0.3986 data_time: 0.0162 memory: 17007 grad_norm: 7.5571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9729 loss: 1.9729 2022/07/28 08:42:27 - mmengine - INFO - Epoch(train) [94][3680/3757] lr: 4.7383e-03 eta: 1 day, 11:38:47 time: 0.3942 data_time: 0.0119 memory: 17007 grad_norm: 7.6870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1725 loss: 2.1725 2022/07/28 08:42:35 - mmengine - INFO - Epoch(train) [94][3700/3757] lr: 4.7383e-03 eta: 1 day, 11:38:39 time: 0.3986 data_time: 0.0162 memory: 17007 grad_norm: 7.4152 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1322 loss: 2.1322 2022/07/28 08:42:43 - mmengine - INFO - Epoch(train) [94][3720/3757] lr: 4.7383e-03 eta: 1 day, 11:38:31 time: 0.3949 data_time: 0.0133 memory: 17007 grad_norm: 7.5703 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8810 loss: 1.8810 2022/07/28 08:42:51 - mmengine - INFO - Epoch(train) [94][3740/3757] lr: 4.7383e-03 eta: 1 day, 11:38:23 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 7.7546 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2023 loss: 2.2023 2022/07/28 08:42:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:42:58 - mmengine - INFO - Epoch(train) [94][3757/3757] lr: 4.7383e-03 eta: 1 day, 11:38:23 time: 0.3974 data_time: 0.0145 memory: 17007 grad_norm: 7.2534 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 1.8953 loss: 1.8953 2022/07/28 08:42:58 - mmengine - INFO - Saving checkpoint at 94 epochs 2022/07/28 08:43:09 - mmengine - INFO - Epoch(train) [95][20/3757] lr: 4.6512e-03 eta: 1 day, 11:38:03 time: 0.4537 data_time: 0.0686 memory: 17007 grad_norm: 7.1922 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8892 loss: 1.8892 2022/07/28 08:43:17 - mmengine - INFO - Epoch(train) [95][40/3757] lr: 4.6512e-03 eta: 1 day, 11:37:55 time: 0.3976 data_time: 0.0163 memory: 17007 grad_norm: 7.7813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0043 loss: 2.0043 2022/07/28 08:43:25 - mmengine - INFO - Epoch(train) [95][60/3757] lr: 4.6512e-03 eta: 1 day, 11:37:47 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 7.5327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8344 loss: 1.8344 2022/07/28 08:43:33 - mmengine - INFO - Epoch(train) [95][80/3757] lr: 4.6512e-03 eta: 1 day, 11:37:39 time: 0.4017 data_time: 0.0188 memory: 17007 grad_norm: 7.4165 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7747 loss: 1.7747 2022/07/28 08:43:42 - mmengine - INFO - Epoch(train) [95][100/3757] lr: 4.6512e-03 eta: 1 day, 11:37:32 time: 0.4375 data_time: 0.0150 memory: 17007 grad_norm: 7.7394 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8633 loss: 1.8633 2022/07/28 08:43:50 - mmengine - INFO - Epoch(train) [95][120/3757] lr: 4.6512e-03 eta: 1 day, 11:37:24 time: 0.3936 data_time: 0.0144 memory: 17007 grad_norm: 7.6151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8638 loss: 1.8638 2022/07/28 08:43:58 - mmengine - INFO - Epoch(train) [95][140/3757] lr: 4.6512e-03 eta: 1 day, 11:37:16 time: 0.3964 data_time: 0.0153 memory: 17007 grad_norm: 7.7341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6360 loss: 1.6360 2022/07/28 08:44:05 - mmengine - INFO - Epoch(train) [95][160/3757] lr: 4.6512e-03 eta: 1 day, 11:37:08 time: 0.3940 data_time: 0.0145 memory: 17007 grad_norm: 7.5764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9451 loss: 1.9451 2022/07/28 08:44:13 - mmengine - INFO - Epoch(train) [95][180/3757] lr: 4.6512e-03 eta: 1 day, 11:37:00 time: 0.4013 data_time: 0.0156 memory: 17007 grad_norm: 7.6929 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8300 loss: 1.8300 2022/07/28 08:44:21 - mmengine - INFO - Epoch(train) [95][200/3757] lr: 4.6512e-03 eta: 1 day, 11:36:52 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 7.4903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8288 loss: 1.8288 2022/07/28 08:44:29 - mmengine - INFO - Epoch(train) [95][220/3757] lr: 4.6512e-03 eta: 1 day, 11:36:44 time: 0.3942 data_time: 0.0143 memory: 17007 grad_norm: 7.7397 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9305 loss: 1.9305 2022/07/28 08:44:37 - mmengine - INFO - Epoch(train) [95][240/3757] lr: 4.6512e-03 eta: 1 day, 11:36:36 time: 0.4042 data_time: 0.0157 memory: 17007 grad_norm: 7.9863 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9475 loss: 1.9475 2022/07/28 08:44:45 - mmengine - INFO - Epoch(train) [95][260/3757] lr: 4.6512e-03 eta: 1 day, 11:36:29 time: 0.3994 data_time: 0.0146 memory: 17007 grad_norm: 7.4915 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9164 loss: 1.9164 2022/07/28 08:44:54 - mmengine - INFO - Epoch(train) [95][280/3757] lr: 4.6512e-03 eta: 1 day, 11:36:21 time: 0.4063 data_time: 0.0162 memory: 17007 grad_norm: 7.0328 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8895 loss: 1.8895 2022/07/28 08:45:01 - mmengine - INFO - Epoch(train) [95][300/3757] lr: 4.6512e-03 eta: 1 day, 11:36:13 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 7.3680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7895 loss: 1.7895 2022/07/28 08:45:09 - mmengine - INFO - Epoch(train) [95][320/3757] lr: 4.6512e-03 eta: 1 day, 11:36:05 time: 0.3970 data_time: 0.0149 memory: 17007 grad_norm: 7.0802 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2004 loss: 2.2004 2022/07/28 08:45:17 - mmengine - INFO - Epoch(train) [95][340/3757] lr: 4.6512e-03 eta: 1 day, 11:35:57 time: 0.4052 data_time: 0.0143 memory: 17007 grad_norm: 7.3269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7899 loss: 1.7899 2022/07/28 08:45:25 - mmengine - INFO - Epoch(train) [95][360/3757] lr: 4.6512e-03 eta: 1 day, 11:35:49 time: 0.3982 data_time: 0.0160 memory: 17007 grad_norm: 7.3057 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1289 loss: 2.1289 2022/07/28 08:45:34 - mmengine - INFO - Epoch(train) [95][380/3757] lr: 4.6512e-03 eta: 1 day, 11:35:41 time: 0.4023 data_time: 0.0159 memory: 17007 grad_norm: 7.4712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7356 loss: 1.7356 2022/07/28 08:45:41 - mmengine - INFO - Epoch(train) [95][400/3757] lr: 4.6512e-03 eta: 1 day, 11:35:33 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 7.3549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9291 loss: 1.9291 2022/07/28 08:45:49 - mmengine - INFO - Epoch(train) [95][420/3757] lr: 4.6512e-03 eta: 1 day, 11:35:25 time: 0.3991 data_time: 0.0155 memory: 17007 grad_norm: 7.1555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9569 loss: 1.9569 2022/07/28 08:45:58 - mmengine - INFO - Epoch(train) [95][440/3757] lr: 4.6512e-03 eta: 1 day, 11:35:18 time: 0.4038 data_time: 0.0165 memory: 17007 grad_norm: 7.7581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9173 loss: 1.9173 2022/07/28 08:46:05 - mmengine - INFO - Epoch(train) [95][460/3757] lr: 4.6512e-03 eta: 1 day, 11:35:10 time: 0.3979 data_time: 0.0161 memory: 17007 grad_norm: 7.4920 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0660 loss: 2.0660 2022/07/28 08:46:13 - mmengine - INFO - Epoch(train) [95][480/3757] lr: 4.6512e-03 eta: 1 day, 11:35:02 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 7.4834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8338 loss: 1.8338 2022/07/28 08:46:21 - mmengine - INFO - Epoch(train) [95][500/3757] lr: 4.6512e-03 eta: 1 day, 11:34:54 time: 0.3932 data_time: 0.0150 memory: 17007 grad_norm: 7.2318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1166 loss: 2.1166 2022/07/28 08:46:29 - mmengine - INFO - Epoch(train) [95][520/3757] lr: 4.6512e-03 eta: 1 day, 11:34:46 time: 0.3953 data_time: 0.0159 memory: 17007 grad_norm: 7.5889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8178 loss: 1.8178 2022/07/28 08:46:37 - mmengine - INFO - Epoch(train) [95][540/3757] lr: 4.6512e-03 eta: 1 day, 11:34:38 time: 0.4054 data_time: 0.0147 memory: 17007 grad_norm: 7.5849 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9701 loss: 1.9701 2022/07/28 08:46:45 - mmengine - INFO - Epoch(train) [95][560/3757] lr: 4.6512e-03 eta: 1 day, 11:34:30 time: 0.3950 data_time: 0.0165 memory: 17007 grad_norm: 7.7414 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0319 loss: 2.0319 2022/07/28 08:46:53 - mmengine - INFO - Epoch(train) [95][580/3757] lr: 4.6512e-03 eta: 1 day, 11:34:22 time: 0.4006 data_time: 0.0157 memory: 17007 grad_norm: 7.2829 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9322 loss: 1.9322 2022/07/28 08:47:01 - mmengine - INFO - Epoch(train) [95][600/3757] lr: 4.6512e-03 eta: 1 day, 11:34:14 time: 0.3940 data_time: 0.0151 memory: 17007 grad_norm: 7.1654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9195 loss: 1.9195 2022/07/28 08:47:09 - mmengine - INFO - Epoch(train) [95][620/3757] lr: 4.6512e-03 eta: 1 day, 11:34:06 time: 0.3990 data_time: 0.0166 memory: 17007 grad_norm: 7.1885 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8960 loss: 1.8960 2022/07/28 08:47:17 - mmengine - INFO - Epoch(train) [95][640/3757] lr: 4.6512e-03 eta: 1 day, 11:33:58 time: 0.4041 data_time: 0.0148 memory: 17007 grad_norm: 7.4438 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8474 loss: 1.8474 2022/07/28 08:47:25 - mmengine - INFO - Epoch(train) [95][660/3757] lr: 4.6512e-03 eta: 1 day, 11:33:50 time: 0.3990 data_time: 0.0162 memory: 17007 grad_norm: 7.6255 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8601 loss: 1.8601 2022/07/28 08:47:33 - mmengine - INFO - Epoch(train) [95][680/3757] lr: 4.6512e-03 eta: 1 day, 11:33:42 time: 0.3962 data_time: 0.0145 memory: 17007 grad_norm: 7.4228 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9580 loss: 1.9580 2022/07/28 08:47:41 - mmengine - INFO - Epoch(train) [95][700/3757] lr: 4.6512e-03 eta: 1 day, 11:33:34 time: 0.3928 data_time: 0.0139 memory: 17007 grad_norm: 7.4522 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6921 loss: 1.6921 2022/07/28 08:47:49 - mmengine - INFO - Epoch(train) [95][720/3757] lr: 4.6512e-03 eta: 1 day, 11:33:26 time: 0.3959 data_time: 0.0158 memory: 17007 grad_norm: 7.2476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6710 loss: 1.6710 2022/07/28 08:47:57 - mmengine - INFO - Epoch(train) [95][740/3757] lr: 4.6512e-03 eta: 1 day, 11:33:19 time: 0.3962 data_time: 0.0158 memory: 17007 grad_norm: 7.5574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7173 loss: 1.7173 2022/07/28 08:48:05 - mmengine - INFO - Epoch(train) [95][760/3757] lr: 4.6512e-03 eta: 1 day, 11:33:11 time: 0.3953 data_time: 0.0144 memory: 17007 grad_norm: 7.3345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9720 loss: 1.9720 2022/07/28 08:48:13 - mmengine - INFO - Epoch(train) [95][780/3757] lr: 4.6512e-03 eta: 1 day, 11:33:03 time: 0.3955 data_time: 0.0154 memory: 17007 grad_norm: 7.2317 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8670 loss: 1.8670 2022/07/28 08:48:21 - mmengine - INFO - Epoch(train) [95][800/3757] lr: 4.6512e-03 eta: 1 day, 11:32:55 time: 0.3965 data_time: 0.0151 memory: 17007 grad_norm: 7.6104 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5761 loss: 1.5761 2022/07/28 08:48:29 - mmengine - INFO - Epoch(train) [95][820/3757] lr: 4.6512e-03 eta: 1 day, 11:32:47 time: 0.3935 data_time: 0.0138 memory: 17007 grad_norm: 7.5989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9808 loss: 1.9808 2022/07/28 08:48:37 - mmengine - INFO - Epoch(train) [95][840/3757] lr: 4.6512e-03 eta: 1 day, 11:32:39 time: 0.4082 data_time: 0.0159 memory: 17007 grad_norm: 7.6218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8853 loss: 1.8853 2022/07/28 08:48:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:48:45 - mmengine - INFO - Epoch(train) [95][860/3757] lr: 4.6512e-03 eta: 1 day, 11:32:31 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.5216 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7419 loss: 1.7419 2022/07/28 08:48:53 - mmengine - INFO - Epoch(train) [95][880/3757] lr: 4.6512e-03 eta: 1 day, 11:32:23 time: 0.3966 data_time: 0.0178 memory: 17007 grad_norm: 7.1461 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7333 loss: 1.7333 2022/07/28 08:49:01 - mmengine - INFO - Epoch(train) [95][900/3757] lr: 4.6512e-03 eta: 1 day, 11:32:15 time: 0.4002 data_time: 0.0145 memory: 17007 grad_norm: 7.8199 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2178 loss: 2.2178 2022/07/28 08:49:08 - mmengine - INFO - Epoch(train) [95][920/3757] lr: 4.6512e-03 eta: 1 day, 11:32:07 time: 0.3941 data_time: 0.0148 memory: 17007 grad_norm: 7.3729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5953 loss: 1.5953 2022/07/28 08:49:16 - mmengine - INFO - Epoch(train) [95][940/3757] lr: 4.6512e-03 eta: 1 day, 11:31:59 time: 0.3981 data_time: 0.0163 memory: 17007 grad_norm: 7.6102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7716 loss: 1.7716 2022/07/28 08:49:24 - mmengine - INFO - Epoch(train) [95][960/3757] lr: 4.6512e-03 eta: 1 day, 11:31:51 time: 0.3951 data_time: 0.0153 memory: 17007 grad_norm: 7.9900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7702 loss: 1.7702 2022/07/28 08:49:32 - mmengine - INFO - Epoch(train) [95][980/3757] lr: 4.6512e-03 eta: 1 day, 11:31:43 time: 0.3932 data_time: 0.0146 memory: 17007 grad_norm: 7.5761 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1192 loss: 2.1192 2022/07/28 08:49:40 - mmengine - INFO - Epoch(train) [95][1000/3757] lr: 4.6512e-03 eta: 1 day, 11:31:35 time: 0.3950 data_time: 0.0165 memory: 17007 grad_norm: 7.3640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0983 loss: 2.0983 2022/07/28 08:49:48 - mmengine - INFO - Epoch(train) [95][1020/3757] lr: 4.6512e-03 eta: 1 day, 11:31:27 time: 0.3950 data_time: 0.0151 memory: 17007 grad_norm: 7.3335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/07/28 08:49:56 - mmengine - INFO - Epoch(train) [95][1040/3757] lr: 4.6512e-03 eta: 1 day, 11:31:19 time: 0.4032 data_time: 0.0168 memory: 17007 grad_norm: 7.7472 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8749 loss: 1.8749 2022/07/28 08:50:04 - mmengine - INFO - Epoch(train) [95][1060/3757] lr: 4.6512e-03 eta: 1 day, 11:31:11 time: 0.3944 data_time: 0.0144 memory: 17007 grad_norm: 7.6244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0332 loss: 2.0332 2022/07/28 08:50:12 - mmengine - INFO - Epoch(train) [95][1080/3757] lr: 4.6512e-03 eta: 1 day, 11:31:03 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 7.4960 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1040 loss: 2.1040 2022/07/28 08:50:20 - mmengine - INFO - Epoch(train) [95][1100/3757] lr: 4.6512e-03 eta: 1 day, 11:30:55 time: 0.3970 data_time: 0.0157 memory: 17007 grad_norm: 7.5283 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7587 loss: 1.7587 2022/07/28 08:50:28 - mmengine - INFO - Epoch(train) [95][1120/3757] lr: 4.6512e-03 eta: 1 day, 11:30:47 time: 0.3966 data_time: 0.0162 memory: 17007 grad_norm: 7.8997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9041 loss: 1.9041 2022/07/28 08:50:36 - mmengine - INFO - Epoch(train) [95][1140/3757] lr: 4.6512e-03 eta: 1 day, 11:30:40 time: 0.4017 data_time: 0.0141 memory: 17007 grad_norm: 7.3183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6986 loss: 1.6986 2022/07/28 08:50:44 - mmengine - INFO - Epoch(train) [95][1160/3757] lr: 4.6512e-03 eta: 1 day, 11:30:32 time: 0.3960 data_time: 0.0169 memory: 17007 grad_norm: 7.4492 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2022 loss: 2.2022 2022/07/28 08:50:52 - mmengine - INFO - Epoch(train) [95][1180/3757] lr: 4.6512e-03 eta: 1 day, 11:30:24 time: 0.3934 data_time: 0.0150 memory: 17007 grad_norm: 7.6011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9986 loss: 1.9986 2022/07/28 08:51:00 - mmengine - INFO - Epoch(train) [95][1200/3757] lr: 4.6512e-03 eta: 1 day, 11:30:16 time: 0.3999 data_time: 0.0155 memory: 17007 grad_norm: 7.7841 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0581 loss: 2.0581 2022/07/28 08:51:08 - mmengine - INFO - Epoch(train) [95][1220/3757] lr: 4.6512e-03 eta: 1 day, 11:30:08 time: 0.3988 data_time: 0.0173 memory: 17007 grad_norm: 7.9247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0716 loss: 2.0716 2022/07/28 08:51:16 - mmengine - INFO - Epoch(train) [95][1240/3757] lr: 4.6512e-03 eta: 1 day, 11:30:00 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 7.6217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7506 loss: 1.7506 2022/07/28 08:51:23 - mmengine - INFO - Epoch(train) [95][1260/3757] lr: 4.6512e-03 eta: 1 day, 11:29:52 time: 0.3964 data_time: 0.0165 memory: 17007 grad_norm: 7.3374 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9698 loss: 1.9698 2022/07/28 08:51:31 - mmengine - INFO - Epoch(train) [95][1280/3757] lr: 4.6512e-03 eta: 1 day, 11:29:44 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 7.3789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9199 loss: 1.9199 2022/07/28 08:51:39 - mmengine - INFO - Epoch(train) [95][1300/3757] lr: 4.6512e-03 eta: 1 day, 11:29:36 time: 0.3939 data_time: 0.0149 memory: 17007 grad_norm: 7.3459 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8995 loss: 1.8995 2022/07/28 08:51:47 - mmengine - INFO - Epoch(train) [95][1320/3757] lr: 4.6512e-03 eta: 1 day, 11:29:28 time: 0.3963 data_time: 0.0170 memory: 17007 grad_norm: 7.3738 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8731 loss: 1.8731 2022/07/28 08:51:55 - mmengine - INFO - Epoch(train) [95][1340/3757] lr: 4.6512e-03 eta: 1 day, 11:29:20 time: 0.3950 data_time: 0.0147 memory: 17007 grad_norm: 7.4040 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6737 loss: 1.6737 2022/07/28 08:52:03 - mmengine - INFO - Epoch(train) [95][1360/3757] lr: 4.6512e-03 eta: 1 day, 11:29:12 time: 0.3965 data_time: 0.0165 memory: 17007 grad_norm: 7.5386 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7265 loss: 1.7265 2022/07/28 08:52:11 - mmengine - INFO - Epoch(train) [95][1380/3757] lr: 4.6512e-03 eta: 1 day, 11:29:04 time: 0.3937 data_time: 0.0141 memory: 17007 grad_norm: 7.6266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6610 loss: 1.6610 2022/07/28 08:52:19 - mmengine - INFO - Epoch(train) [95][1400/3757] lr: 4.6512e-03 eta: 1 day, 11:28:56 time: 0.3944 data_time: 0.0143 memory: 17007 grad_norm: 7.9064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3274 loss: 2.3274 2022/07/28 08:52:27 - mmengine - INFO - Epoch(train) [95][1420/3757] lr: 4.6512e-03 eta: 1 day, 11:28:48 time: 0.3972 data_time: 0.0160 memory: 17007 grad_norm: 7.8011 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2081 loss: 2.2081 2022/07/28 08:52:35 - mmengine - INFO - Epoch(train) [95][1440/3757] lr: 4.6512e-03 eta: 1 day, 11:28:40 time: 0.4016 data_time: 0.0155 memory: 17007 grad_norm: 7.5193 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0194 loss: 2.0194 2022/07/28 08:52:43 - mmengine - INFO - Epoch(train) [95][1460/3757] lr: 4.6512e-03 eta: 1 day, 11:28:32 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 7.5844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8306 loss: 1.8306 2022/07/28 08:52:51 - mmengine - INFO - Epoch(train) [95][1480/3757] lr: 4.6512e-03 eta: 1 day, 11:28:24 time: 0.3966 data_time: 0.0156 memory: 17007 grad_norm: 7.7383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8300 loss: 1.8300 2022/07/28 08:52:59 - mmengine - INFO - Epoch(train) [95][1500/3757] lr: 4.6512e-03 eta: 1 day, 11:28:16 time: 0.3997 data_time: 0.0146 memory: 17007 grad_norm: 7.8458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9301 loss: 1.9301 2022/07/28 08:53:07 - mmengine - INFO - Epoch(train) [95][1520/3757] lr: 4.6512e-03 eta: 1 day, 11:28:08 time: 0.3973 data_time: 0.0171 memory: 17007 grad_norm: 7.5635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6680 loss: 1.6680 2022/07/28 08:53:15 - mmengine - INFO - Epoch(train) [95][1540/3757] lr: 4.6512e-03 eta: 1 day, 11:28:00 time: 0.3940 data_time: 0.0143 memory: 17007 grad_norm: 7.5032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7655 loss: 1.7655 2022/07/28 08:53:22 - mmengine - INFO - Epoch(train) [95][1560/3757] lr: 4.6512e-03 eta: 1 day, 11:27:52 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 7.6822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8393 loss: 1.8393 2022/07/28 08:53:30 - mmengine - INFO - Epoch(train) [95][1580/3757] lr: 4.6512e-03 eta: 1 day, 11:27:45 time: 0.3957 data_time: 0.0161 memory: 17007 grad_norm: 7.7245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6346 loss: 1.6346 2022/07/28 08:53:39 - mmengine - INFO - Epoch(train) [95][1600/3757] lr: 4.6512e-03 eta: 1 day, 11:27:37 time: 0.4062 data_time: 0.0156 memory: 17007 grad_norm: 7.7340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5002 loss: 1.5002 2022/07/28 08:53:46 - mmengine - INFO - Epoch(train) [95][1620/3757] lr: 4.6512e-03 eta: 1 day, 11:27:29 time: 0.3961 data_time: 0.0158 memory: 17007 grad_norm: 7.7699 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8181 loss: 1.8181 2022/07/28 08:53:55 - mmengine - INFO - Epoch(train) [95][1640/3757] lr: 4.6512e-03 eta: 1 day, 11:27:21 time: 0.4057 data_time: 0.0148 memory: 17007 grad_norm: 7.6620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9491 loss: 1.9491 2022/07/28 08:54:02 - mmengine - INFO - Epoch(train) [95][1660/3757] lr: 4.6512e-03 eta: 1 day, 11:27:13 time: 0.3946 data_time: 0.0143 memory: 17007 grad_norm: 7.6515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9854 loss: 1.9854 2022/07/28 08:54:12 - mmengine - INFO - Epoch(train) [95][1680/3757] lr: 4.6512e-03 eta: 1 day, 11:27:07 time: 0.4795 data_time: 0.0151 memory: 17007 grad_norm: 7.5879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7762 loss: 1.7762 2022/07/28 08:54:24 - mmengine - INFO - Epoch(train) [95][1700/3757] lr: 4.6512e-03 eta: 1 day, 11:27:02 time: 0.5827 data_time: 0.0162 memory: 17007 grad_norm: 7.6030 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0693 loss: 2.0693 2022/07/28 08:54:37 - mmengine - INFO - Epoch(train) [95][1720/3757] lr: 4.6512e-03 eta: 1 day, 11:26:59 time: 0.6647 data_time: 0.0146 memory: 17007 grad_norm: 7.6963 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3643 loss: 2.3643 2022/07/28 08:54:47 - mmengine - INFO - Epoch(train) [95][1740/3757] lr: 4.6512e-03 eta: 1 day, 11:26:53 time: 0.4946 data_time: 0.0167 memory: 17007 grad_norm: 7.5555 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9788 loss: 1.9788 2022/07/28 08:55:03 - mmengine - INFO - Epoch(train) [95][1760/3757] lr: 4.6512e-03 eta: 1 day, 11:26:52 time: 0.7907 data_time: 0.0141 memory: 17007 grad_norm: 7.7595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6482 loss: 1.6482 2022/07/28 08:55:13 - mmengine - INFO - Epoch(train) [95][1780/3757] lr: 4.6512e-03 eta: 1 day, 11:26:46 time: 0.4982 data_time: 0.1185 memory: 17007 grad_norm: 7.7990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2525 loss: 2.2525 2022/07/28 08:55:23 - mmengine - INFO - Epoch(train) [95][1800/3757] lr: 4.6512e-03 eta: 1 day, 11:26:40 time: 0.4888 data_time: 0.0866 memory: 17007 grad_norm: 7.5080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8119 loss: 1.8119 2022/07/28 08:55:33 - mmengine - INFO - Epoch(train) [95][1820/3757] lr: 4.6512e-03 eta: 1 day, 11:26:33 time: 0.4987 data_time: 0.1032 memory: 17007 grad_norm: 7.9641 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9983 loss: 1.9983 2022/07/28 08:55:40 - mmengine - INFO - Epoch(train) [95][1840/3757] lr: 4.6512e-03 eta: 1 day, 11:26:25 time: 0.3916 data_time: 0.0109 memory: 17007 grad_norm: 7.7507 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6778 loss: 1.6778 2022/07/28 08:55:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 08:55:48 - mmengine - INFO - Epoch(train) [95][1860/3757] lr: 4.6512e-03 eta: 1 day, 11:26:17 time: 0.3978 data_time: 0.0155 memory: 17007 grad_norm: 7.7552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2469 loss: 2.2469 2022/07/28 08:55:56 - mmengine - INFO - Epoch(train) [95][1880/3757] lr: 4.6512e-03 eta: 1 day, 11:26:10 time: 0.3983 data_time: 0.0130 memory: 17007 grad_norm: 7.6587 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0517 loss: 2.0517 2022/07/28 08:56:04 - mmengine - INFO - Epoch(train) [95][1900/3757] lr: 4.6512e-03 eta: 1 day, 11:26:02 time: 0.3955 data_time: 0.0164 memory: 17007 grad_norm: 7.5216 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8524 loss: 1.8524 2022/07/28 08:56:12 - mmengine - INFO - Epoch(train) [95][1920/3757] lr: 4.6512e-03 eta: 1 day, 11:25:54 time: 0.3937 data_time: 0.0122 memory: 17007 grad_norm: 7.5814 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9382 loss: 1.9382 2022/07/28 08:56:20 - mmengine - INFO - Epoch(train) [95][1940/3757] lr: 4.6512e-03 eta: 1 day, 11:25:46 time: 0.3979 data_time: 0.0165 memory: 17007 grad_norm: 7.5227 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9885 loss: 1.9885 2022/07/28 08:56:28 - mmengine - INFO - Epoch(train) [95][1960/3757] lr: 4.6512e-03 eta: 1 day, 11:25:38 time: 0.3944 data_time: 0.0147 memory: 17007 grad_norm: 7.4898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9183 loss: 1.9183 2022/07/28 08:56:36 - mmengine - INFO - Epoch(train) [95][1980/3757] lr: 4.6512e-03 eta: 1 day, 11:25:30 time: 0.3964 data_time: 0.0171 memory: 17007 grad_norm: 7.8221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0805 loss: 2.0805 2022/07/28 08:56:44 - mmengine - INFO - Epoch(train) [95][2000/3757] lr: 4.6512e-03 eta: 1 day, 11:25:22 time: 0.3944 data_time: 0.0139 memory: 17007 grad_norm: 7.6932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8911 loss: 1.8911 2022/07/28 08:56:52 - mmengine - INFO - Epoch(train) [95][2020/3757] lr: 4.6512e-03 eta: 1 day, 11:25:14 time: 0.3941 data_time: 0.0159 memory: 17007 grad_norm: 7.8276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8541 loss: 1.8541 2022/07/28 08:57:00 - mmengine - INFO - Epoch(train) [95][2040/3757] lr: 4.6512e-03 eta: 1 day, 11:25:06 time: 0.3951 data_time: 0.0126 memory: 17007 grad_norm: 7.5533 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2225 loss: 2.2225 2022/07/28 08:57:08 - mmengine - INFO - Epoch(train) [95][2060/3757] lr: 4.6512e-03 eta: 1 day, 11:24:58 time: 0.3953 data_time: 0.0165 memory: 17007 grad_norm: 7.5952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7718 loss: 1.7718 2022/07/28 08:57:16 - mmengine - INFO - Epoch(train) [95][2080/3757] lr: 4.6512e-03 eta: 1 day, 11:24:50 time: 0.3953 data_time: 0.0139 memory: 17007 grad_norm: 7.5250 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1166 loss: 2.1166 2022/07/28 08:57:23 - mmengine - INFO - Epoch(train) [95][2100/3757] lr: 4.6512e-03 eta: 1 day, 11:24:42 time: 0.3959 data_time: 0.0161 memory: 17007 grad_norm: 7.3546 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9225 loss: 1.9225 2022/07/28 08:57:31 - mmengine - INFO - Epoch(train) [95][2120/3757] lr: 4.6512e-03 eta: 1 day, 11:24:34 time: 0.3949 data_time: 0.0138 memory: 17007 grad_norm: 7.7277 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2428 loss: 2.2428 2022/07/28 08:57:39 - mmengine - INFO - Epoch(train) [95][2140/3757] lr: 4.6512e-03 eta: 1 day, 11:24:26 time: 0.3976 data_time: 0.0164 memory: 17007 grad_norm: 7.6408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7096 loss: 1.7096 2022/07/28 08:57:47 - mmengine - INFO - Epoch(train) [95][2160/3757] lr: 4.6512e-03 eta: 1 day, 11:24:18 time: 0.3945 data_time: 0.0142 memory: 17007 grad_norm: 7.4002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9341 loss: 1.9341 2022/07/28 08:57:55 - mmengine - INFO - Epoch(train) [95][2180/3757] lr: 4.6512e-03 eta: 1 day, 11:24:10 time: 0.4035 data_time: 0.0163 memory: 17007 grad_norm: 7.4498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0586 loss: 2.0586 2022/07/28 08:58:03 - mmengine - INFO - Epoch(train) [95][2200/3757] lr: 4.6512e-03 eta: 1 day, 11:24:02 time: 0.3930 data_time: 0.0125 memory: 17007 grad_norm: 7.3239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8557 loss: 1.8557 2022/07/28 08:58:11 - mmengine - INFO - Epoch(train) [95][2220/3757] lr: 4.6512e-03 eta: 1 day, 11:23:54 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 7.6845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6320 loss: 1.6320 2022/07/28 08:58:19 - mmengine - INFO - Epoch(train) [95][2240/3757] lr: 4.6512e-03 eta: 1 day, 11:23:46 time: 0.3980 data_time: 0.0143 memory: 17007 grad_norm: 7.4105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9426 loss: 1.9426 2022/07/28 08:58:27 - mmengine - INFO - Epoch(train) [95][2260/3757] lr: 4.6512e-03 eta: 1 day, 11:23:38 time: 0.3988 data_time: 0.0167 memory: 17007 grad_norm: 7.7202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7944 loss: 1.7944 2022/07/28 08:58:35 - mmengine - INFO - Epoch(train) [95][2280/3757] lr: 4.6512e-03 eta: 1 day, 11:23:30 time: 0.4065 data_time: 0.0130 memory: 17007 grad_norm: 7.4764 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7304 loss: 1.7304 2022/07/28 08:58:43 - mmengine - INFO - Epoch(train) [95][2300/3757] lr: 4.6512e-03 eta: 1 day, 11:23:22 time: 0.3938 data_time: 0.0155 memory: 17007 grad_norm: 7.9095 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7684 loss: 1.7684 2022/07/28 08:58:51 - mmengine - INFO - Epoch(train) [95][2320/3757] lr: 4.6512e-03 eta: 1 day, 11:23:14 time: 0.3977 data_time: 0.0126 memory: 17007 grad_norm: 7.6847 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8890 loss: 1.8890 2022/07/28 08:58:59 - mmengine - INFO - Epoch(train) [95][2340/3757] lr: 4.6512e-03 eta: 1 day, 11:23:06 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 7.6153 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0026 loss: 2.0026 2022/07/28 08:59:07 - mmengine - INFO - Epoch(train) [95][2360/3757] lr: 4.6512e-03 eta: 1 day, 11:22:59 time: 0.3972 data_time: 0.0138 memory: 17007 grad_norm: 7.7736 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0201 loss: 2.0201 2022/07/28 08:59:15 - mmengine - INFO - Epoch(train) [95][2380/3757] lr: 4.6512e-03 eta: 1 day, 11:22:51 time: 0.3956 data_time: 0.0164 memory: 17007 grad_norm: 7.1966 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6537 loss: 1.6537 2022/07/28 08:59:23 - mmengine - INFO - Epoch(train) [95][2400/3757] lr: 4.6512e-03 eta: 1 day, 11:22:43 time: 0.3934 data_time: 0.0122 memory: 17007 grad_norm: 7.5034 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7108 loss: 1.7108 2022/07/28 08:59:31 - mmengine - INFO - Epoch(train) [95][2420/3757] lr: 4.6512e-03 eta: 1 day, 11:22:35 time: 0.3987 data_time: 0.0158 memory: 17007 grad_norm: 7.7399 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0763 loss: 2.0763 2022/07/28 08:59:39 - mmengine - INFO - Epoch(train) [95][2440/3757] lr: 4.6512e-03 eta: 1 day, 11:22:27 time: 0.3963 data_time: 0.0135 memory: 17007 grad_norm: 7.8254 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0737 loss: 2.0737 2022/07/28 08:59:47 - mmengine - INFO - Epoch(train) [95][2460/3757] lr: 4.6512e-03 eta: 1 day, 11:22:19 time: 0.3980 data_time: 0.0156 memory: 17007 grad_norm: 7.3684 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7535 loss: 1.7535 2022/07/28 08:59:54 - mmengine - INFO - Epoch(train) [95][2480/3757] lr: 4.6512e-03 eta: 1 day, 11:22:11 time: 0.3938 data_time: 0.0133 memory: 17007 grad_norm: 7.4635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7898 loss: 1.7898 2022/07/28 09:00:02 - mmengine - INFO - Epoch(train) [95][2500/3757] lr: 4.6512e-03 eta: 1 day, 11:22:03 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 7.4433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7962 loss: 1.7962 2022/07/28 09:00:10 - mmengine - INFO - Epoch(train) [95][2520/3757] lr: 4.6512e-03 eta: 1 day, 11:21:55 time: 0.3979 data_time: 0.0158 memory: 17007 grad_norm: 7.3208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8509 loss: 1.8509 2022/07/28 09:00:18 - mmengine - INFO - Epoch(train) [95][2540/3757] lr: 4.6512e-03 eta: 1 day, 11:21:47 time: 0.3962 data_time: 0.0163 memory: 17007 grad_norm: 7.7555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9232 loss: 1.9232 2022/07/28 09:00:26 - mmengine - INFO - Epoch(train) [95][2560/3757] lr: 4.6512e-03 eta: 1 day, 11:21:39 time: 0.3969 data_time: 0.0144 memory: 17007 grad_norm: 8.0184 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8885 loss: 1.8885 2022/07/28 09:00:34 - mmengine - INFO - Epoch(train) [95][2580/3757] lr: 4.6512e-03 eta: 1 day, 11:21:31 time: 0.3960 data_time: 0.0148 memory: 17007 grad_norm: 7.7887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9098 loss: 1.9098 2022/07/28 09:00:42 - mmengine - INFO - Epoch(train) [95][2600/3757] lr: 4.6512e-03 eta: 1 day, 11:21:23 time: 0.3957 data_time: 0.0147 memory: 17007 grad_norm: 7.8214 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9441 loss: 1.9441 2022/07/28 09:00:50 - mmengine - INFO - Epoch(train) [95][2620/3757] lr: 4.6512e-03 eta: 1 day, 11:21:15 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 7.6839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8868 loss: 1.8868 2022/07/28 09:00:58 - mmengine - INFO - Epoch(train) [95][2640/3757] lr: 4.6512e-03 eta: 1 day, 11:21:07 time: 0.3968 data_time: 0.0159 memory: 17007 grad_norm: 7.7734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0451 loss: 2.0451 2022/07/28 09:01:06 - mmengine - INFO - Epoch(train) [95][2660/3757] lr: 4.6512e-03 eta: 1 day, 11:20:59 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 7.5260 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1601 loss: 2.1601 2022/07/28 09:01:14 - mmengine - INFO - Epoch(train) [95][2680/3757] lr: 4.6512e-03 eta: 1 day, 11:20:51 time: 0.3939 data_time: 0.0127 memory: 17007 grad_norm: 7.7309 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0036 loss: 2.0036 2022/07/28 09:01:22 - mmengine - INFO - Epoch(train) [95][2700/3757] lr: 4.6512e-03 eta: 1 day, 11:20:43 time: 0.3988 data_time: 0.0171 memory: 17007 grad_norm: 7.5068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9566 loss: 1.9566 2022/07/28 09:01:30 - mmengine - INFO - Epoch(train) [95][2720/3757] lr: 4.6512e-03 eta: 1 day, 11:20:35 time: 0.3946 data_time: 0.0128 memory: 17007 grad_norm: 7.8401 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0299 loss: 2.0299 2022/07/28 09:01:38 - mmengine - INFO - Epoch(train) [95][2740/3757] lr: 4.6512e-03 eta: 1 day, 11:20:27 time: 0.4037 data_time: 0.0163 memory: 17007 grad_norm: 7.6293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9776 loss: 1.9776 2022/07/28 09:01:46 - mmengine - INFO - Epoch(train) [95][2760/3757] lr: 4.6512e-03 eta: 1 day, 11:20:19 time: 0.3942 data_time: 0.0128 memory: 17007 grad_norm: 7.3576 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8877 loss: 1.8877 2022/07/28 09:01:54 - mmengine - INFO - Epoch(train) [95][2780/3757] lr: 4.6512e-03 eta: 1 day, 11:20:11 time: 0.3949 data_time: 0.0157 memory: 17007 grad_norm: 7.6751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8635 loss: 1.8635 2022/07/28 09:02:02 - mmengine - INFO - Epoch(train) [95][2800/3757] lr: 4.6512e-03 eta: 1 day, 11:20:04 time: 0.4004 data_time: 0.0138 memory: 17007 grad_norm: 7.6039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9097 loss: 1.9097 2022/07/28 09:02:09 - mmengine - INFO - Epoch(train) [95][2820/3757] lr: 4.6512e-03 eta: 1 day, 11:19:56 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 7.4689 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7939 loss: 1.7939 2022/07/28 09:02:17 - mmengine - INFO - Epoch(train) [95][2840/3757] lr: 4.6512e-03 eta: 1 day, 11:19:48 time: 0.4013 data_time: 0.0138 memory: 17007 grad_norm: 7.4821 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0574 loss: 2.0574 2022/07/28 09:02:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:02:25 - mmengine - INFO - Epoch(train) [95][2860/3757] lr: 4.6512e-03 eta: 1 day, 11:19:40 time: 0.3958 data_time: 0.0156 memory: 17007 grad_norm: 7.5542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8623 loss: 1.8623 2022/07/28 09:02:33 - mmengine - INFO - Epoch(train) [95][2880/3757] lr: 4.6512e-03 eta: 1 day, 11:19:32 time: 0.3963 data_time: 0.0141 memory: 17007 grad_norm: 7.4740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0973 loss: 2.0973 2022/07/28 09:02:41 - mmengine - INFO - Epoch(train) [95][2900/3757] lr: 4.6512e-03 eta: 1 day, 11:19:24 time: 0.3960 data_time: 0.0155 memory: 17007 grad_norm: 7.5226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7578 loss: 1.7578 2022/07/28 09:02:49 - mmengine - INFO - Epoch(train) [95][2920/3757] lr: 4.6512e-03 eta: 1 day, 11:19:16 time: 0.3941 data_time: 0.0129 memory: 17007 grad_norm: 7.5760 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0340 loss: 2.0340 2022/07/28 09:02:57 - mmengine - INFO - Epoch(train) [95][2940/3757] lr: 4.6512e-03 eta: 1 day, 11:19:08 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 7.8668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6812 loss: 1.6812 2022/07/28 09:03:05 - mmengine - INFO - Epoch(train) [95][2960/3757] lr: 4.6512e-03 eta: 1 day, 11:19:00 time: 0.3947 data_time: 0.0129 memory: 17007 grad_norm: 7.9341 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7247 loss: 1.7247 2022/07/28 09:03:13 - mmengine - INFO - Epoch(train) [95][2980/3757] lr: 4.6512e-03 eta: 1 day, 11:18:52 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 7.6855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8544 loss: 1.8544 2022/07/28 09:03:21 - mmengine - INFO - Epoch(train) [95][3000/3757] lr: 4.6512e-03 eta: 1 day, 11:18:44 time: 0.3951 data_time: 0.0140 memory: 17007 grad_norm: 7.7577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0324 loss: 2.0324 2022/07/28 09:03:29 - mmengine - INFO - Epoch(train) [95][3020/3757] lr: 4.6512e-03 eta: 1 day, 11:18:36 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 7.5422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7367 loss: 1.7367 2022/07/28 09:03:37 - mmengine - INFO - Epoch(train) [95][3040/3757] lr: 4.6512e-03 eta: 1 day, 11:18:28 time: 0.4121 data_time: 0.0149 memory: 17007 grad_norm: 7.1005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8539 loss: 1.8539 2022/07/28 09:03:45 - mmengine - INFO - Epoch(train) [95][3060/3757] lr: 4.6512e-03 eta: 1 day, 11:18:20 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 7.4770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8663 loss: 1.8663 2022/07/28 09:03:53 - mmengine - INFO - Epoch(train) [95][3080/3757] lr: 4.6512e-03 eta: 1 day, 11:18:12 time: 0.3933 data_time: 0.0130 memory: 17007 grad_norm: 7.5208 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0086 loss: 2.0086 2022/07/28 09:04:01 - mmengine - INFO - Epoch(train) [95][3100/3757] lr: 4.6512e-03 eta: 1 day, 11:18:04 time: 0.4016 data_time: 0.0174 memory: 17007 grad_norm: 7.7035 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1960 loss: 2.1960 2022/07/28 09:04:09 - mmengine - INFO - Epoch(train) [95][3120/3757] lr: 4.6512e-03 eta: 1 day, 11:17:56 time: 0.3935 data_time: 0.0135 memory: 17007 grad_norm: 7.4397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1374 loss: 2.1374 2022/07/28 09:04:17 - mmengine - INFO - Epoch(train) [95][3140/3757] lr: 4.6512e-03 eta: 1 day, 11:17:48 time: 0.4032 data_time: 0.0164 memory: 17007 grad_norm: 7.6034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7213 loss: 1.7213 2022/07/28 09:04:25 - mmengine - INFO - Epoch(train) [95][3160/3757] lr: 4.6512e-03 eta: 1 day, 11:17:40 time: 0.3944 data_time: 0.0146 memory: 17007 grad_norm: 7.8160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7459 loss: 1.7459 2022/07/28 09:04:33 - mmengine - INFO - Epoch(train) [95][3180/3757] lr: 4.6512e-03 eta: 1 day, 11:17:32 time: 0.3959 data_time: 0.0152 memory: 17007 grad_norm: 7.8609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2165 loss: 2.2165 2022/07/28 09:04:41 - mmengine - INFO - Epoch(train) [95][3200/3757] lr: 4.6512e-03 eta: 1 day, 11:17:25 time: 0.3981 data_time: 0.0135 memory: 17007 grad_norm: 7.4652 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8622 loss: 1.8622 2022/07/28 09:04:48 - mmengine - INFO - Epoch(train) [95][3220/3757] lr: 4.6512e-03 eta: 1 day, 11:17:17 time: 0.3952 data_time: 0.0161 memory: 17007 grad_norm: 7.6149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7893 loss: 1.7893 2022/07/28 09:04:56 - mmengine - INFO - Epoch(train) [95][3240/3757] lr: 4.6512e-03 eta: 1 day, 11:17:09 time: 0.3943 data_time: 0.0146 memory: 17007 grad_norm: 7.6525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0436 loss: 2.0436 2022/07/28 09:05:04 - mmengine - INFO - Epoch(train) [95][3260/3757] lr: 4.6512e-03 eta: 1 day, 11:17:01 time: 0.3961 data_time: 0.0174 memory: 17007 grad_norm: 7.6656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9197 loss: 1.9197 2022/07/28 09:05:12 - mmengine - INFO - Epoch(train) [95][3280/3757] lr: 4.6512e-03 eta: 1 day, 11:16:53 time: 0.3929 data_time: 0.0137 memory: 17007 grad_norm: 7.6020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6445 loss: 1.6445 2022/07/28 09:05:20 - mmengine - INFO - Epoch(train) [95][3300/3757] lr: 4.6512e-03 eta: 1 day, 11:16:45 time: 0.3948 data_time: 0.0170 memory: 17007 grad_norm: 7.9830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9376 loss: 1.9376 2022/07/28 09:05:28 - mmengine - INFO - Epoch(train) [95][3320/3757] lr: 4.6512e-03 eta: 1 day, 11:16:37 time: 0.3940 data_time: 0.0140 memory: 17007 grad_norm: 7.8592 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9912 loss: 1.9912 2022/07/28 09:05:36 - mmengine - INFO - Epoch(train) [95][3340/3757] lr: 4.6512e-03 eta: 1 day, 11:16:29 time: 0.3998 data_time: 0.0176 memory: 17007 grad_norm: 7.9398 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1244 loss: 2.1244 2022/07/28 09:05:44 - mmengine - INFO - Epoch(train) [95][3360/3757] lr: 4.6512e-03 eta: 1 day, 11:16:21 time: 0.3933 data_time: 0.0132 memory: 17007 grad_norm: 7.7249 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5173 loss: 1.5173 2022/07/28 09:05:52 - mmengine - INFO - Epoch(train) [95][3380/3757] lr: 4.6512e-03 eta: 1 day, 11:16:13 time: 0.3947 data_time: 0.0146 memory: 17007 grad_norm: 7.5732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8604 loss: 1.8604 2022/07/28 09:06:00 - mmengine - INFO - Epoch(train) [95][3400/3757] lr: 4.6512e-03 eta: 1 day, 11:16:05 time: 0.4003 data_time: 0.0133 memory: 17007 grad_norm: 7.3448 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1165 loss: 2.1165 2022/07/28 09:06:08 - mmengine - INFO - Epoch(train) [95][3420/3757] lr: 4.6512e-03 eta: 1 day, 11:15:57 time: 0.3961 data_time: 0.0157 memory: 17007 grad_norm: 7.6943 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1195 loss: 2.1195 2022/07/28 09:06:16 - mmengine - INFO - Epoch(train) [95][3440/3757] lr: 4.6512e-03 eta: 1 day, 11:15:49 time: 0.4110 data_time: 0.0134 memory: 17007 grad_norm: 7.2457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9978 loss: 1.9978 2022/07/28 09:06:24 - mmengine - INFO - Epoch(train) [95][3460/3757] lr: 4.6512e-03 eta: 1 day, 11:15:41 time: 0.3937 data_time: 0.0151 memory: 17007 grad_norm: 7.3283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0114 loss: 2.0114 2022/07/28 09:06:32 - mmengine - INFO - Epoch(train) [95][3480/3757] lr: 4.6512e-03 eta: 1 day, 11:15:33 time: 0.3967 data_time: 0.0145 memory: 17007 grad_norm: 7.3701 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0014 loss: 2.0014 2022/07/28 09:06:40 - mmengine - INFO - Epoch(train) [95][3500/3757] lr: 4.6512e-03 eta: 1 day, 11:15:25 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.7018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1147 loss: 2.1147 2022/07/28 09:06:48 - mmengine - INFO - Epoch(train) [95][3520/3757] lr: 4.6512e-03 eta: 1 day, 11:15:17 time: 0.3966 data_time: 0.0147 memory: 17007 grad_norm: 7.7336 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8089 loss: 1.8089 2022/07/28 09:06:56 - mmengine - INFO - Epoch(train) [95][3540/3757] lr: 4.6512e-03 eta: 1 day, 11:15:09 time: 0.3985 data_time: 0.0162 memory: 17007 grad_norm: 7.4165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8885 loss: 1.8885 2022/07/28 09:07:04 - mmengine - INFO - Epoch(train) [95][3560/3757] lr: 4.6512e-03 eta: 1 day, 11:15:01 time: 0.3951 data_time: 0.0148 memory: 17007 grad_norm: 7.6844 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8717 loss: 1.8717 2022/07/28 09:07:11 - mmengine - INFO - Epoch(train) [95][3580/3757] lr: 4.6512e-03 eta: 1 day, 11:14:53 time: 0.3959 data_time: 0.0156 memory: 17007 grad_norm: 7.5678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8558 loss: 1.8558 2022/07/28 09:07:19 - mmengine - INFO - Epoch(train) [95][3600/3757] lr: 4.6512e-03 eta: 1 day, 11:14:45 time: 0.3952 data_time: 0.0145 memory: 17007 grad_norm: 7.7535 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0213 loss: 2.0213 2022/07/28 09:07:27 - mmengine - INFO - Epoch(train) [95][3620/3757] lr: 4.6512e-03 eta: 1 day, 11:14:38 time: 0.3967 data_time: 0.0162 memory: 17007 grad_norm: 7.7347 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7093 loss: 1.7093 2022/07/28 09:07:35 - mmengine - INFO - Epoch(train) [95][3640/3757] lr: 4.6512e-03 eta: 1 day, 11:14:30 time: 0.3954 data_time: 0.0141 memory: 17007 grad_norm: 7.5778 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9784 loss: 1.9784 2022/07/28 09:07:43 - mmengine - INFO - Epoch(train) [95][3660/3757] lr: 4.6512e-03 eta: 1 day, 11:14:22 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 7.4159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6802 loss: 1.6802 2022/07/28 09:07:51 - mmengine - INFO - Epoch(train) [95][3680/3757] lr: 4.6512e-03 eta: 1 day, 11:14:14 time: 0.3931 data_time: 0.0138 memory: 17007 grad_norm: 7.6051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8145 loss: 1.8145 2022/07/28 09:07:59 - mmengine - INFO - Epoch(train) [95][3700/3757] lr: 4.6512e-03 eta: 1 day, 11:14:06 time: 0.3998 data_time: 0.0166 memory: 17007 grad_norm: 7.4256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8084 loss: 1.8084 2022/07/28 09:08:07 - mmengine - INFO - Epoch(train) [95][3720/3757] lr: 4.6512e-03 eta: 1 day, 11:13:58 time: 0.3982 data_time: 0.0133 memory: 17007 grad_norm: 7.2331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8426 loss: 1.8426 2022/07/28 09:08:15 - mmengine - INFO - Epoch(train) [95][3740/3757] lr: 4.6512e-03 eta: 1 day, 11:13:50 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 7.6096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4148 loss: 2.4148 2022/07/28 09:08:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:08:21 - mmengine - INFO - Epoch(train) [95][3757/3757] lr: 4.6512e-03 eta: 1 day, 11:13:50 time: 0.3895 data_time: 0.0125 memory: 17007 grad_norm: 7.4138 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8110 loss: 1.8110 2022/07/28 09:08:22 - mmengine - INFO - Saving checkpoint at 95 epochs 2022/07/28 09:08:33 - mmengine - INFO - Epoch(train) [96][20/3757] lr: 4.5642e-03 eta: 1 day, 11:13:30 time: 0.4641 data_time: 0.0828 memory: 17007 grad_norm: 7.9793 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0938 loss: 2.0938 2022/07/28 09:08:41 - mmengine - INFO - Epoch(train) [96][40/3757] lr: 4.5642e-03 eta: 1 day, 11:13:22 time: 0.4002 data_time: 0.0166 memory: 17007 grad_norm: 7.3355 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7718 loss: 1.7718 2022/07/28 09:08:49 - mmengine - INFO - Epoch(train) [96][60/3757] lr: 4.5642e-03 eta: 1 day, 11:13:14 time: 0.3963 data_time: 0.0146 memory: 17007 grad_norm: 7.2979 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7424 loss: 1.7424 2022/07/28 09:08:57 - mmengine - INFO - Epoch(train) [96][80/3757] lr: 4.5642e-03 eta: 1 day, 11:13:06 time: 0.3962 data_time: 0.0162 memory: 17007 grad_norm: 7.3368 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8743 loss: 1.8743 2022/07/28 09:08:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:09:05 - mmengine - INFO - Epoch(train) [96][100/3757] lr: 4.5642e-03 eta: 1 day, 11:12:58 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 7.5885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7692 loss: 1.7692 2022/07/28 09:09:13 - mmengine - INFO - Epoch(train) [96][120/3757] lr: 4.5642e-03 eta: 1 day, 11:12:50 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 7.0547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8485 loss: 1.8485 2022/07/28 09:09:21 - mmengine - INFO - Epoch(train) [96][140/3757] lr: 4.5642e-03 eta: 1 day, 11:12:43 time: 0.4022 data_time: 0.0145 memory: 17007 grad_norm: 7.6382 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9907 loss: 1.9907 2022/07/28 09:09:29 - mmengine - INFO - Epoch(train) [96][160/3757] lr: 4.5642e-03 eta: 1 day, 11:12:35 time: 0.4060 data_time: 0.0153 memory: 17007 grad_norm: 7.5065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5427 loss: 1.5427 2022/07/28 09:09:37 - mmengine - INFO - Epoch(train) [96][180/3757] lr: 4.5642e-03 eta: 1 day, 11:12:27 time: 0.3942 data_time: 0.0144 memory: 17007 grad_norm: 7.6687 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9086 loss: 1.9086 2022/07/28 09:09:45 - mmengine - INFO - Epoch(train) [96][200/3757] lr: 4.5642e-03 eta: 1 day, 11:12:19 time: 0.3958 data_time: 0.0177 memory: 17007 grad_norm: 7.5091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8626 loss: 1.8626 2022/07/28 09:09:53 - mmengine - INFO - Epoch(train) [96][220/3757] lr: 4.5642e-03 eta: 1 day, 11:12:11 time: 0.3984 data_time: 0.0160 memory: 17007 grad_norm: 7.6323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9278 loss: 1.9278 2022/07/28 09:10:00 - mmengine - INFO - Epoch(train) [96][240/3757] lr: 4.5642e-03 eta: 1 day, 11:12:03 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 8.0617 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2586 loss: 2.2586 2022/07/28 09:10:08 - mmengine - INFO - Epoch(train) [96][260/3757] lr: 4.5642e-03 eta: 1 day, 11:11:55 time: 0.4019 data_time: 0.0166 memory: 17007 grad_norm: 7.9203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0662 loss: 2.0662 2022/07/28 09:10:16 - mmengine - INFO - Epoch(train) [96][280/3757] lr: 4.5642e-03 eta: 1 day, 11:11:47 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.6395 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6370 loss: 1.6370 2022/07/28 09:10:24 - mmengine - INFO - Epoch(train) [96][300/3757] lr: 4.5642e-03 eta: 1 day, 11:11:39 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 7.6423 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0664 loss: 2.0664 2022/07/28 09:10:32 - mmengine - INFO - Epoch(train) [96][320/3757] lr: 4.5642e-03 eta: 1 day, 11:11:31 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 7.5390 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8900 loss: 1.8900 2022/07/28 09:10:40 - mmengine - INFO - Epoch(train) [96][340/3757] lr: 4.5642e-03 eta: 1 day, 11:11:23 time: 0.4063 data_time: 0.0140 memory: 17007 grad_norm: 7.7106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0359 loss: 2.0359 2022/07/28 09:10:48 - mmengine - INFO - Epoch(train) [96][360/3757] lr: 4.5642e-03 eta: 1 day, 11:11:15 time: 0.3986 data_time: 0.0160 memory: 17007 grad_norm: 7.5732 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7160 loss: 1.7160 2022/07/28 09:10:56 - mmengine - INFO - Epoch(train) [96][380/3757] lr: 4.5642e-03 eta: 1 day, 11:11:07 time: 0.3948 data_time: 0.0142 memory: 17007 grad_norm: 7.6759 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1910 loss: 2.1910 2022/07/28 09:11:04 - mmengine - INFO - Epoch(train) [96][400/3757] lr: 4.5642e-03 eta: 1 day, 11:10:59 time: 0.3927 data_time: 0.0160 memory: 17007 grad_norm: 7.2688 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7277 loss: 1.7277 2022/07/28 09:11:12 - mmengine - INFO - Epoch(train) [96][420/3757] lr: 4.5642e-03 eta: 1 day, 11:10:51 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 7.3055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6950 loss: 1.6950 2022/07/28 09:11:20 - mmengine - INFO - Epoch(train) [96][440/3757] lr: 4.5642e-03 eta: 1 day, 11:10:43 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 7.5622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7237 loss: 1.7237 2022/07/28 09:11:28 - mmengine - INFO - Epoch(train) [96][460/3757] lr: 4.5642e-03 eta: 1 day, 11:10:35 time: 0.3958 data_time: 0.0149 memory: 17007 grad_norm: 7.3177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7919 loss: 1.7919 2022/07/28 09:11:36 - mmengine - INFO - Epoch(train) [96][480/3757] lr: 4.5642e-03 eta: 1 day, 11:10:27 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 7.6171 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9163 loss: 1.9163 2022/07/28 09:11:44 - mmengine - INFO - Epoch(train) [96][500/3757] lr: 4.5642e-03 eta: 1 day, 11:10:19 time: 0.3968 data_time: 0.0156 memory: 17007 grad_norm: 7.7914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1577 loss: 2.1577 2022/07/28 09:11:52 - mmengine - INFO - Epoch(train) [96][520/3757] lr: 4.5642e-03 eta: 1 day, 11:10:11 time: 0.3973 data_time: 0.0153 memory: 17007 grad_norm: 7.7876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9566 loss: 1.9566 2022/07/28 09:12:00 - mmengine - INFO - Epoch(train) [96][540/3757] lr: 4.5642e-03 eta: 1 day, 11:10:04 time: 0.4035 data_time: 0.0138 memory: 17007 grad_norm: 7.7890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8991 loss: 1.8991 2022/07/28 09:12:08 - mmengine - INFO - Epoch(train) [96][560/3757] lr: 4.5642e-03 eta: 1 day, 11:09:56 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 7.4617 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6334 loss: 1.6334 2022/07/28 09:12:16 - mmengine - INFO - Epoch(train) [96][580/3757] lr: 4.5642e-03 eta: 1 day, 11:09:48 time: 0.4002 data_time: 0.0143 memory: 17007 grad_norm: 7.6741 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8785 loss: 1.8785 2022/07/28 09:12:23 - mmengine - INFO - Epoch(train) [96][600/3757] lr: 4.5642e-03 eta: 1 day, 11:09:40 time: 0.3949 data_time: 0.0157 memory: 17007 grad_norm: 7.5459 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0493 loss: 2.0493 2022/07/28 09:12:32 - mmengine - INFO - Epoch(train) [96][620/3757] lr: 4.5642e-03 eta: 1 day, 11:09:33 time: 0.4403 data_time: 0.0147 memory: 17007 grad_norm: 7.5860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0346 loss: 2.0346 2022/07/28 09:12:40 - mmengine - INFO - Epoch(train) [96][640/3757] lr: 4.5642e-03 eta: 1 day, 11:09:25 time: 0.3926 data_time: 0.0144 memory: 17007 grad_norm: 7.6985 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8825 loss: 1.8825 2022/07/28 09:12:48 - mmengine - INFO - Epoch(train) [96][660/3757] lr: 4.5642e-03 eta: 1 day, 11:09:17 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 7.4385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9014 loss: 1.9014 2022/07/28 09:12:56 - mmengine - INFO - Epoch(train) [96][680/3757] lr: 4.5642e-03 eta: 1 day, 11:09:09 time: 0.3990 data_time: 0.0164 memory: 17007 grad_norm: 7.6896 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5528 loss: 1.5528 2022/07/28 09:13:04 - mmengine - INFO - Epoch(train) [96][700/3757] lr: 4.5642e-03 eta: 1 day, 11:09:01 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 7.4905 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0345 loss: 2.0345 2022/07/28 09:13:12 - mmengine - INFO - Epoch(train) [96][720/3757] lr: 4.5642e-03 eta: 1 day, 11:08:53 time: 0.3967 data_time: 0.0156 memory: 17007 grad_norm: 7.7636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8789 loss: 1.8789 2022/07/28 09:13:20 - mmengine - INFO - Epoch(train) [96][740/3757] lr: 4.5642e-03 eta: 1 day, 11:08:45 time: 0.3957 data_time: 0.0145 memory: 17007 grad_norm: 8.0189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0136 loss: 2.0136 2022/07/28 09:13:28 - mmengine - INFO - Epoch(train) [96][760/3757] lr: 4.5642e-03 eta: 1 day, 11:08:37 time: 0.3969 data_time: 0.0169 memory: 17007 grad_norm: 7.4009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6686 loss: 1.6686 2022/07/28 09:13:36 - mmengine - INFO - Epoch(train) [96][780/3757] lr: 4.5642e-03 eta: 1 day, 11:08:29 time: 0.3968 data_time: 0.0164 memory: 17007 grad_norm: 7.3788 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1636 loss: 2.1636 2022/07/28 09:13:44 - mmengine - INFO - Epoch(train) [96][800/3757] lr: 4.5642e-03 eta: 1 day, 11:08:21 time: 0.3928 data_time: 0.0148 memory: 17007 grad_norm: 7.1870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6119 loss: 1.6119 2022/07/28 09:13:52 - mmengine - INFO - Epoch(train) [96][820/3757] lr: 4.5642e-03 eta: 1 day, 11:08:13 time: 0.3940 data_time: 0.0147 memory: 17007 grad_norm: 7.4677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6889 loss: 1.6889 2022/07/28 09:14:00 - mmengine - INFO - Epoch(train) [96][840/3757] lr: 4.5642e-03 eta: 1 day, 11:08:05 time: 0.4000 data_time: 0.0170 memory: 17007 grad_norm: 7.4814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8720 loss: 1.8720 2022/07/28 09:14:07 - mmengine - INFO - Epoch(train) [96][860/3757] lr: 4.5642e-03 eta: 1 day, 11:07:57 time: 0.3954 data_time: 0.0149 memory: 17007 grad_norm: 7.5494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7217 loss: 1.7217 2022/07/28 09:14:15 - mmengine - INFO - Epoch(train) [96][880/3757] lr: 4.5642e-03 eta: 1 day, 11:07:49 time: 0.3999 data_time: 0.0157 memory: 17007 grad_norm: 7.6389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8439 loss: 1.8439 2022/07/28 09:14:23 - mmengine - INFO - Epoch(train) [96][900/3757] lr: 4.5642e-03 eta: 1 day, 11:07:41 time: 0.3944 data_time: 0.0132 memory: 17007 grad_norm: 7.5969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0437 loss: 2.0437 2022/07/28 09:14:31 - mmengine - INFO - Epoch(train) [96][920/3757] lr: 4.5642e-03 eta: 1 day, 11:07:33 time: 0.3968 data_time: 0.0160 memory: 17007 grad_norm: 7.4297 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3305 loss: 2.3305 2022/07/28 09:14:39 - mmengine - INFO - Epoch(train) [96][940/3757] lr: 4.5642e-03 eta: 1 day, 11:07:25 time: 0.4027 data_time: 0.0169 memory: 17007 grad_norm: 7.8576 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9899 loss: 1.9899 2022/07/28 09:14:47 - mmengine - INFO - Epoch(train) [96][960/3757] lr: 4.5642e-03 eta: 1 day, 11:07:17 time: 0.3952 data_time: 0.0148 memory: 17007 grad_norm: 7.6107 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/07/28 09:14:55 - mmengine - INFO - Epoch(train) [96][980/3757] lr: 4.5642e-03 eta: 1 day, 11:07:09 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 7.4313 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0509 loss: 2.0509 2022/07/28 09:15:03 - mmengine - INFO - Epoch(train) [96][1000/3757] lr: 4.5642e-03 eta: 1 day, 11:07:02 time: 0.3971 data_time: 0.0157 memory: 17007 grad_norm: 7.3588 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0795 loss: 2.0795 2022/07/28 09:15:11 - mmengine - INFO - Epoch(train) [96][1020/3757] lr: 4.5642e-03 eta: 1 day, 11:06:54 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 7.8457 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1053 loss: 2.1053 2022/07/28 09:15:19 - mmengine - INFO - Epoch(train) [96][1040/3757] lr: 4.5642e-03 eta: 1 day, 11:06:46 time: 0.4001 data_time: 0.0170 memory: 17007 grad_norm: 7.5253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6606 loss: 1.6606 2022/07/28 09:15:27 - mmengine - INFO - Epoch(train) [96][1060/3757] lr: 4.5642e-03 eta: 1 day, 11:06:38 time: 0.4007 data_time: 0.0158 memory: 17007 grad_norm: 7.4610 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6413 loss: 1.6413 2022/07/28 09:15:35 - mmengine - INFO - Epoch(train) [96][1080/3757] lr: 4.5642e-03 eta: 1 day, 11:06:30 time: 0.3930 data_time: 0.0160 memory: 17007 grad_norm: 7.4772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9771 loss: 1.9771 2022/07/28 09:15:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:15:43 - mmengine - INFO - Epoch(train) [96][1100/3757] lr: 4.5642e-03 eta: 1 day, 11:06:22 time: 0.3943 data_time: 0.0154 memory: 17007 grad_norm: 7.6138 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0051 loss: 2.0051 2022/07/28 09:15:51 - mmengine - INFO - Epoch(train) [96][1120/3757] lr: 4.5642e-03 eta: 1 day, 11:06:14 time: 0.3974 data_time: 0.0164 memory: 17007 grad_norm: 7.4778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8227 loss: 1.8227 2022/07/28 09:15:59 - mmengine - INFO - Epoch(train) [96][1140/3757] lr: 4.5642e-03 eta: 1 day, 11:06:06 time: 0.3953 data_time: 0.0150 memory: 17007 grad_norm: 7.5247 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1906 loss: 2.1906 2022/07/28 09:16:07 - mmengine - INFO - Epoch(train) [96][1160/3757] lr: 4.5642e-03 eta: 1 day, 11:05:58 time: 0.3974 data_time: 0.0158 memory: 17007 grad_norm: 7.6876 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1553 loss: 2.1553 2022/07/28 09:16:15 - mmengine - INFO - Epoch(train) [96][1180/3757] lr: 4.5642e-03 eta: 1 day, 11:05:50 time: 0.3928 data_time: 0.0132 memory: 17007 grad_norm: 7.5777 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6657 loss: 1.6657 2022/07/28 09:16:23 - mmengine - INFO - Epoch(train) [96][1200/3757] lr: 4.5642e-03 eta: 1 day, 11:05:42 time: 0.4013 data_time: 0.0153 memory: 17007 grad_norm: 7.4340 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9505 loss: 1.9505 2022/07/28 09:16:31 - mmengine - INFO - Epoch(train) [96][1220/3757] lr: 4.5642e-03 eta: 1 day, 11:05:34 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 7.6599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9945 loss: 1.9945 2022/07/28 09:16:39 - mmengine - INFO - Epoch(train) [96][1240/3757] lr: 4.5642e-03 eta: 1 day, 11:05:26 time: 0.3982 data_time: 0.0161 memory: 17007 grad_norm: 7.6708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1339 loss: 2.1339 2022/07/28 09:16:46 - mmengine - INFO - Epoch(train) [96][1260/3757] lr: 4.5642e-03 eta: 1 day, 11:05:18 time: 0.3971 data_time: 0.0148 memory: 17007 grad_norm: 7.5127 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8278 loss: 1.8278 2022/07/28 09:16:54 - mmengine - INFO - Epoch(train) [96][1280/3757] lr: 4.5642e-03 eta: 1 day, 11:05:10 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 7.2137 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8136 loss: 1.8136 2022/07/28 09:17:02 - mmengine - INFO - Epoch(train) [96][1300/3757] lr: 4.5642e-03 eta: 1 day, 11:05:02 time: 0.3994 data_time: 0.0148 memory: 17007 grad_norm: 7.3992 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9501 loss: 1.9501 2022/07/28 09:17:10 - mmengine - INFO - Epoch(train) [96][1320/3757] lr: 4.5642e-03 eta: 1 day, 11:04:54 time: 0.3946 data_time: 0.0160 memory: 17007 grad_norm: 7.6046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7701 loss: 1.7701 2022/07/28 09:17:18 - mmengine - INFO - Epoch(train) [96][1340/3757] lr: 4.5642e-03 eta: 1 day, 11:04:46 time: 0.4020 data_time: 0.0156 memory: 17007 grad_norm: 7.2323 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3082 loss: 2.3082 2022/07/28 09:17:26 - mmengine - INFO - Epoch(train) [96][1360/3757] lr: 4.5642e-03 eta: 1 day, 11:04:38 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 7.8942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7462 loss: 1.7462 2022/07/28 09:17:34 - mmengine - INFO - Epoch(train) [96][1380/3757] lr: 4.5642e-03 eta: 1 day, 11:04:30 time: 0.3927 data_time: 0.0152 memory: 17007 grad_norm: 7.4286 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8460 loss: 1.8460 2022/07/28 09:17:42 - mmengine - INFO - Epoch(train) [96][1400/3757] lr: 4.5642e-03 eta: 1 day, 11:04:23 time: 0.4027 data_time: 0.0156 memory: 17007 grad_norm: 7.9259 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9328 loss: 1.9328 2022/07/28 09:17:50 - mmengine - INFO - Epoch(train) [96][1420/3757] lr: 4.5642e-03 eta: 1 day, 11:04:15 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 7.7571 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1758 loss: 2.1758 2022/07/28 09:17:58 - mmengine - INFO - Epoch(train) [96][1440/3757] lr: 4.5642e-03 eta: 1 day, 11:04:07 time: 0.4050 data_time: 0.0175 memory: 17007 grad_norm: 7.8258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1752 loss: 2.1752 2022/07/28 09:18:06 - mmengine - INFO - Epoch(train) [96][1460/3757] lr: 4.5642e-03 eta: 1 day, 11:03:59 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 7.6368 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1238 loss: 2.1238 2022/07/28 09:18:14 - mmengine - INFO - Epoch(train) [96][1480/3757] lr: 4.5642e-03 eta: 1 day, 11:03:51 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 7.6322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0657 loss: 2.0657 2022/07/28 09:18:22 - mmengine - INFO - Epoch(train) [96][1500/3757] lr: 4.5642e-03 eta: 1 day, 11:03:43 time: 0.4146 data_time: 0.0147 memory: 17007 grad_norm: 7.5513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4995 loss: 1.4995 2022/07/28 09:18:30 - mmengine - INFO - Epoch(train) [96][1520/3757] lr: 4.5642e-03 eta: 1 day, 11:03:35 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 7.8135 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9848 loss: 1.9848 2022/07/28 09:18:38 - mmengine - INFO - Epoch(train) [96][1540/3757] lr: 4.5642e-03 eta: 1 day, 11:03:27 time: 0.4143 data_time: 0.0145 memory: 17007 grad_norm: 7.5081 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9522 loss: 1.9522 2022/07/28 09:18:46 - mmengine - INFO - Epoch(train) [96][1560/3757] lr: 4.5642e-03 eta: 1 day, 11:03:20 time: 0.3965 data_time: 0.0165 memory: 17007 grad_norm: 7.3972 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0401 loss: 2.0401 2022/07/28 09:18:54 - mmengine - INFO - Epoch(train) [96][1580/3757] lr: 4.5642e-03 eta: 1 day, 11:03:12 time: 0.3930 data_time: 0.0147 memory: 17007 grad_norm: 7.6611 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9487 loss: 1.9487 2022/07/28 09:19:03 - mmengine - INFO - Epoch(train) [96][1600/3757] lr: 4.5642e-03 eta: 1 day, 11:03:04 time: 0.4213 data_time: 0.0153 memory: 17007 grad_norm: 7.7841 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9220 loss: 1.9220 2022/07/28 09:19:11 - mmengine - INFO - Epoch(train) [96][1620/3757] lr: 4.5642e-03 eta: 1 day, 11:02:56 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 7.7130 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0004 loss: 2.0004 2022/07/28 09:19:19 - mmengine - INFO - Epoch(train) [96][1640/3757] lr: 4.5642e-03 eta: 1 day, 11:02:48 time: 0.4020 data_time: 0.0164 memory: 17007 grad_norm: 7.5576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6979 loss: 1.6979 2022/07/28 09:19:27 - mmengine - INFO - Epoch(train) [96][1660/3757] lr: 4.5642e-03 eta: 1 day, 11:02:40 time: 0.3941 data_time: 0.0148 memory: 17007 grad_norm: 7.7026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8255 loss: 1.8255 2022/07/28 09:19:34 - mmengine - INFO - Epoch(train) [96][1680/3757] lr: 4.5642e-03 eta: 1 day, 11:02:32 time: 0.3951 data_time: 0.0160 memory: 17007 grad_norm: 7.3915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5734 loss: 1.5734 2022/07/28 09:19:42 - mmengine - INFO - Epoch(train) [96][1700/3757] lr: 4.5642e-03 eta: 1 day, 11:02:24 time: 0.4002 data_time: 0.0164 memory: 17007 grad_norm: 7.7812 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0100 loss: 2.0100 2022/07/28 09:19:50 - mmengine - INFO - Epoch(train) [96][1720/3757] lr: 4.5642e-03 eta: 1 day, 11:02:16 time: 0.3923 data_time: 0.0146 memory: 17007 grad_norm: 7.5393 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8803 loss: 1.8803 2022/07/28 09:19:58 - mmengine - INFO - Epoch(train) [96][1740/3757] lr: 4.5642e-03 eta: 1 day, 11:02:08 time: 0.3949 data_time: 0.0151 memory: 17007 grad_norm: 7.6752 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7569 loss: 1.7569 2022/07/28 09:20:06 - mmengine - INFO - Epoch(train) [96][1760/3757] lr: 4.5642e-03 eta: 1 day, 11:02:00 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 7.4693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1543 loss: 2.1543 2022/07/28 09:20:14 - mmengine - INFO - Epoch(train) [96][1780/3757] lr: 4.5642e-03 eta: 1 day, 11:01:52 time: 0.3947 data_time: 0.0145 memory: 17007 grad_norm: 7.4354 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6879 loss: 1.6879 2022/07/28 09:20:22 - mmengine - INFO - Epoch(train) [96][1800/3757] lr: 4.5642e-03 eta: 1 day, 11:01:44 time: 0.3969 data_time: 0.0164 memory: 17007 grad_norm: 7.8452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7794 loss: 1.7794 2022/07/28 09:20:30 - mmengine - INFO - Epoch(train) [96][1820/3757] lr: 4.5642e-03 eta: 1 day, 11:01:36 time: 0.3939 data_time: 0.0150 memory: 17007 grad_norm: 7.4266 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5904 loss: 1.5904 2022/07/28 09:20:38 - mmengine - INFO - Epoch(train) [96][1840/3757] lr: 4.5642e-03 eta: 1 day, 11:01:28 time: 0.4013 data_time: 0.0186 memory: 17007 grad_norm: 7.5149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7027 loss: 1.7027 2022/07/28 09:20:46 - mmengine - INFO - Epoch(train) [96][1860/3757] lr: 4.5642e-03 eta: 1 day, 11:01:21 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 7.5294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6690 loss: 1.6690 2022/07/28 09:20:54 - mmengine - INFO - Epoch(train) [96][1880/3757] lr: 4.5642e-03 eta: 1 day, 11:01:13 time: 0.3944 data_time: 0.0149 memory: 17007 grad_norm: 7.9030 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8545 loss: 1.8545 2022/07/28 09:21:02 - mmengine - INFO - Epoch(train) [96][1900/3757] lr: 4.5642e-03 eta: 1 day, 11:01:05 time: 0.3948 data_time: 0.0147 memory: 17007 grad_norm: 7.5100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0146 loss: 2.0146 2022/07/28 09:21:10 - mmengine - INFO - Epoch(train) [96][1920/3757] lr: 4.5642e-03 eta: 1 day, 11:00:57 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 7.5621 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7553 loss: 1.7553 2022/07/28 09:21:18 - mmengine - INFO - Epoch(train) [96][1940/3757] lr: 4.5642e-03 eta: 1 day, 11:00:49 time: 0.4055 data_time: 0.0162 memory: 17007 grad_norm: 7.8760 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8371 loss: 1.8371 2022/07/28 09:21:26 - mmengine - INFO - Epoch(train) [96][1960/3757] lr: 4.5642e-03 eta: 1 day, 11:00:41 time: 0.3948 data_time: 0.0161 memory: 17007 grad_norm: 7.6631 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0462 loss: 2.0462 2022/07/28 09:21:33 - mmengine - INFO - Epoch(train) [96][1980/3757] lr: 4.5642e-03 eta: 1 day, 11:00:33 time: 0.3938 data_time: 0.0147 memory: 17007 grad_norm: 7.4874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1788 loss: 2.1788 2022/07/28 09:21:42 - mmengine - INFO - Epoch(train) [96][2000/3757] lr: 4.5642e-03 eta: 1 day, 11:00:25 time: 0.4105 data_time: 0.0182 memory: 17007 grad_norm: 7.8572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1679 loss: 2.1679 2022/07/28 09:21:50 - mmengine - INFO - Epoch(train) [96][2020/3757] lr: 4.5642e-03 eta: 1 day, 11:00:17 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 7.5397 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6467 loss: 1.6467 2022/07/28 09:21:57 - mmengine - INFO - Epoch(train) [96][2040/3757] lr: 4.5642e-03 eta: 1 day, 11:00:09 time: 0.3957 data_time: 0.0165 memory: 17007 grad_norm: 7.4595 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8990 loss: 1.8990 2022/07/28 09:22:05 - mmengine - INFO - Epoch(train) [96][2060/3757] lr: 4.5642e-03 eta: 1 day, 11:00:01 time: 0.3933 data_time: 0.0145 memory: 17007 grad_norm: 7.4243 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7711 loss: 1.7711 2022/07/28 09:22:13 - mmengine - INFO - Epoch(train) [96][2080/3757] lr: 4.5642e-03 eta: 1 day, 10:59:53 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 7.6009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9856 loss: 1.9856 2022/07/28 09:22:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:22:21 - mmengine - INFO - Epoch(train) [96][2100/3757] lr: 4.5642e-03 eta: 1 day, 10:59:45 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 7.4795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7797 loss: 1.7797 2022/07/28 09:22:29 - mmengine - INFO - Epoch(train) [96][2120/3757] lr: 4.5642e-03 eta: 1 day, 10:59:37 time: 0.4116 data_time: 0.0164 memory: 17007 grad_norm: 8.0224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8433 loss: 1.8433 2022/07/28 09:22:37 - mmengine - INFO - Epoch(train) [96][2140/3757] lr: 4.5642e-03 eta: 1 day, 10:59:29 time: 0.3931 data_time: 0.0149 memory: 17007 grad_norm: 7.4940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9282 loss: 1.9282 2022/07/28 09:22:45 - mmengine - INFO - Epoch(train) [96][2160/3757] lr: 4.5642e-03 eta: 1 day, 10:59:21 time: 0.3946 data_time: 0.0158 memory: 17007 grad_norm: 7.6721 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3074 loss: 2.3074 2022/07/28 09:22:53 - mmengine - INFO - Epoch(train) [96][2180/3757] lr: 4.5642e-03 eta: 1 day, 10:59:14 time: 0.4106 data_time: 0.0164 memory: 17007 grad_norm: 7.8831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9874 loss: 1.9874 2022/07/28 09:23:01 - mmengine - INFO - Epoch(train) [96][2200/3757] lr: 4.5642e-03 eta: 1 day, 10:59:06 time: 0.3954 data_time: 0.0160 memory: 17007 grad_norm: 7.7729 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9477 loss: 1.9477 2022/07/28 09:23:10 - mmengine - INFO - Epoch(train) [96][2220/3757] lr: 4.5642e-03 eta: 1 day, 10:58:58 time: 0.4133 data_time: 0.0159 memory: 17007 grad_norm: 7.6932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2223 loss: 2.2223 2022/07/28 09:23:17 - mmengine - INFO - Epoch(train) [96][2240/3757] lr: 4.5642e-03 eta: 1 day, 10:58:50 time: 0.3931 data_time: 0.0153 memory: 17007 grad_norm: 7.5548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8170 loss: 1.8170 2022/07/28 09:23:25 - mmengine - INFO - Epoch(train) [96][2260/3757] lr: 4.5642e-03 eta: 1 day, 10:58:42 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 7.2670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8808 loss: 1.8808 2022/07/28 09:23:33 - mmengine - INFO - Epoch(train) [96][2280/3757] lr: 4.5642e-03 eta: 1 day, 10:58:34 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 7.6602 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1483 loss: 2.1483 2022/07/28 09:23:41 - mmengine - INFO - Epoch(train) [96][2300/3757] lr: 4.5642e-03 eta: 1 day, 10:58:26 time: 0.3927 data_time: 0.0138 memory: 17007 grad_norm: 7.7041 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3294 loss: 2.3294 2022/07/28 09:23:49 - mmengine - INFO - Epoch(train) [96][2320/3757] lr: 4.5642e-03 eta: 1 day, 10:58:18 time: 0.3999 data_time: 0.0158 memory: 17007 grad_norm: 7.6026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9725 loss: 1.9725 2022/07/28 09:23:57 - mmengine - INFO - Epoch(train) [96][2340/3757] lr: 4.5642e-03 eta: 1 day, 10:58:10 time: 0.3955 data_time: 0.0141 memory: 17007 grad_norm: 8.0796 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9322 loss: 1.9322 2022/07/28 09:24:05 - mmengine - INFO - Epoch(train) [96][2360/3757] lr: 4.5642e-03 eta: 1 day, 10:58:02 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 7.6489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2130 loss: 2.2130 2022/07/28 09:24:13 - mmengine - INFO - Epoch(train) [96][2380/3757] lr: 4.5642e-03 eta: 1 day, 10:57:54 time: 0.3955 data_time: 0.0157 memory: 17007 grad_norm: 7.8309 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1355 loss: 2.1355 2022/07/28 09:24:21 - mmengine - INFO - Epoch(train) [96][2400/3757] lr: 4.5642e-03 eta: 1 day, 10:57:46 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 7.5690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7049 loss: 1.7049 2022/07/28 09:24:29 - mmengine - INFO - Epoch(train) [96][2420/3757] lr: 4.5642e-03 eta: 1 day, 10:57:38 time: 0.3950 data_time: 0.0173 memory: 17007 grad_norm: 7.5376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9655 loss: 1.9655 2022/07/28 09:24:37 - mmengine - INFO - Epoch(train) [96][2440/3757] lr: 4.5642e-03 eta: 1 day, 10:57:30 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 7.7027 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1090 loss: 2.1090 2022/07/28 09:24:44 - mmengine - INFO - Epoch(train) [96][2460/3757] lr: 4.5642e-03 eta: 1 day, 10:57:22 time: 0.3943 data_time: 0.0146 memory: 17007 grad_norm: 7.5418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0721 loss: 2.0721 2022/07/28 09:24:52 - mmengine - INFO - Epoch(train) [96][2480/3757] lr: 4.5642e-03 eta: 1 day, 10:57:14 time: 0.3962 data_time: 0.0150 memory: 17007 grad_norm: 7.5438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8382 loss: 1.8382 2022/07/28 09:25:00 - mmengine - INFO - Epoch(train) [96][2500/3757] lr: 4.5642e-03 eta: 1 day, 10:57:06 time: 0.3974 data_time: 0.0141 memory: 17007 grad_norm: 7.4210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8882 loss: 1.8882 2022/07/28 09:25:08 - mmengine - INFO - Epoch(train) [96][2520/3757] lr: 4.5642e-03 eta: 1 day, 10:56:58 time: 0.3958 data_time: 0.0161 memory: 17007 grad_norm: 7.6672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9773 loss: 1.9773 2022/07/28 09:25:16 - mmengine - INFO - Epoch(train) [96][2540/3757] lr: 4.5642e-03 eta: 1 day, 10:56:50 time: 0.3940 data_time: 0.0144 memory: 17007 grad_norm: 7.4936 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7652 loss: 1.7652 2022/07/28 09:25:24 - mmengine - INFO - Epoch(train) [96][2560/3757] lr: 4.5642e-03 eta: 1 day, 10:56:42 time: 0.3958 data_time: 0.0167 memory: 17007 grad_norm: 7.7957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2110 loss: 2.2110 2022/07/28 09:25:32 - mmengine - INFO - Epoch(train) [96][2580/3757] lr: 4.5642e-03 eta: 1 day, 10:56:34 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 7.6693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8142 loss: 1.8142 2022/07/28 09:25:40 - mmengine - INFO - Epoch(train) [96][2600/3757] lr: 4.5642e-03 eta: 1 day, 10:56:26 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 7.8015 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9989 loss: 1.9989 2022/07/28 09:25:48 - mmengine - INFO - Epoch(train) [96][2620/3757] lr: 4.5642e-03 eta: 1 day, 10:56:18 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 7.5104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0909 loss: 2.0909 2022/07/28 09:25:56 - mmengine - INFO - Epoch(train) [96][2640/3757] lr: 4.5642e-03 eta: 1 day, 10:56:10 time: 0.3952 data_time: 0.0157 memory: 17007 grad_norm: 7.5300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6858 loss: 1.6858 2022/07/28 09:26:04 - mmengine - INFO - Epoch(train) [96][2660/3757] lr: 4.5642e-03 eta: 1 day, 10:56:02 time: 0.3949 data_time: 0.0157 memory: 17007 grad_norm: 7.6680 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8649 loss: 1.8649 2022/07/28 09:26:12 - mmengine - INFO - Epoch(train) [96][2680/3757] lr: 4.5642e-03 eta: 1 day, 10:55:55 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 7.5597 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8019 loss: 1.8019 2022/07/28 09:26:20 - mmengine - INFO - Epoch(train) [96][2700/3757] lr: 4.5642e-03 eta: 1 day, 10:55:47 time: 0.3972 data_time: 0.0157 memory: 17007 grad_norm: 7.3190 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9398 loss: 1.9398 2022/07/28 09:26:27 - mmengine - INFO - Epoch(train) [96][2720/3757] lr: 4.5642e-03 eta: 1 day, 10:55:39 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 7.5091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8793 loss: 1.8793 2022/07/28 09:26:35 - mmengine - INFO - Epoch(train) [96][2740/3757] lr: 4.5642e-03 eta: 1 day, 10:55:31 time: 0.3927 data_time: 0.0142 memory: 17007 grad_norm: 7.7962 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4558 loss: 2.4558 2022/07/28 09:26:43 - mmengine - INFO - Epoch(train) [96][2760/3757] lr: 4.5642e-03 eta: 1 day, 10:55:23 time: 0.3959 data_time: 0.0159 memory: 17007 grad_norm: 7.8114 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5971 loss: 1.5971 2022/07/28 09:26:51 - mmengine - INFO - Epoch(train) [96][2780/3757] lr: 4.5642e-03 eta: 1 day, 10:55:15 time: 0.3953 data_time: 0.0145 memory: 17007 grad_norm: 7.7449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8378 loss: 1.8378 2022/07/28 09:26:59 - mmengine - INFO - Epoch(train) [96][2800/3757] lr: 4.5642e-03 eta: 1 day, 10:55:07 time: 0.3971 data_time: 0.0163 memory: 17007 grad_norm: 7.7639 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9177 loss: 1.9177 2022/07/28 09:27:07 - mmengine - INFO - Epoch(train) [96][2820/3757] lr: 4.5642e-03 eta: 1 day, 10:54:59 time: 0.3937 data_time: 0.0140 memory: 17007 grad_norm: 7.9639 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0460 loss: 2.0460 2022/07/28 09:27:15 - mmengine - INFO - Epoch(train) [96][2840/3757] lr: 4.5642e-03 eta: 1 day, 10:54:51 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.8678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9199 loss: 1.9199 2022/07/28 09:27:23 - mmengine - INFO - Epoch(train) [96][2860/3757] lr: 4.5642e-03 eta: 1 day, 10:54:43 time: 0.3966 data_time: 0.0154 memory: 17007 grad_norm: 7.4622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8754 loss: 1.8754 2022/07/28 09:27:31 - mmengine - INFO - Epoch(train) [96][2880/3757] lr: 4.5642e-03 eta: 1 day, 10:54:35 time: 0.3961 data_time: 0.0150 memory: 17007 grad_norm: 7.6439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0402 loss: 2.0402 2022/07/28 09:27:39 - mmengine - INFO - Epoch(train) [96][2900/3757] lr: 4.5642e-03 eta: 1 day, 10:54:27 time: 0.3955 data_time: 0.0139 memory: 17007 grad_norm: 7.9627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2691 loss: 2.2691 2022/07/28 09:27:47 - mmengine - INFO - Epoch(train) [96][2920/3757] lr: 4.5642e-03 eta: 1 day, 10:54:19 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 7.7589 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7084 loss: 1.7084 2022/07/28 09:27:54 - mmengine - INFO - Epoch(train) [96][2940/3757] lr: 4.5642e-03 eta: 1 day, 10:54:11 time: 0.3940 data_time: 0.0142 memory: 17007 grad_norm: 7.8625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0860 loss: 2.0860 2022/07/28 09:28:03 - mmengine - INFO - Epoch(train) [96][2960/3757] lr: 4.5642e-03 eta: 1 day, 10:54:03 time: 0.4091 data_time: 0.0165 memory: 17007 grad_norm: 7.6683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9075 loss: 1.9075 2022/07/28 09:28:11 - mmengine - INFO - Epoch(train) [96][2980/3757] lr: 4.5642e-03 eta: 1 day, 10:53:55 time: 0.3972 data_time: 0.0162 memory: 17007 grad_norm: 7.5796 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3533 loss: 2.3533 2022/07/28 09:28:19 - mmengine - INFO - Epoch(train) [96][3000/3757] lr: 4.5642e-03 eta: 1 day, 10:53:47 time: 0.3954 data_time: 0.0154 memory: 17007 grad_norm: 7.7328 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0959 loss: 2.0959 2022/07/28 09:28:26 - mmengine - INFO - Epoch(train) [96][3020/3757] lr: 4.5642e-03 eta: 1 day, 10:53:39 time: 0.3926 data_time: 0.0147 memory: 17007 grad_norm: 7.4208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9696 loss: 1.9696 2022/07/28 09:28:34 - mmengine - INFO - Epoch(train) [96][3040/3757] lr: 4.5642e-03 eta: 1 day, 10:53:31 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 7.7173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8995 loss: 1.8995 2022/07/28 09:28:42 - mmengine - INFO - Epoch(train) [96][3060/3757] lr: 4.5642e-03 eta: 1 day, 10:53:23 time: 0.3933 data_time: 0.0148 memory: 17007 grad_norm: 7.8991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2306 loss: 2.2306 2022/07/28 09:28:50 - mmengine - INFO - Epoch(train) [96][3080/3757] lr: 4.5642e-03 eta: 1 day, 10:53:15 time: 0.3968 data_time: 0.0165 memory: 17007 grad_norm: 7.4609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9356 loss: 1.9356 2022/07/28 09:28:52 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:28:58 - mmengine - INFO - Epoch(train) [96][3100/3757] lr: 4.5642e-03 eta: 1 day, 10:53:07 time: 0.3932 data_time: 0.0144 memory: 17007 grad_norm: 7.5742 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6815 loss: 1.6815 2022/07/28 09:29:06 - mmengine - INFO - Epoch(train) [96][3120/3757] lr: 4.5642e-03 eta: 1 day, 10:52:59 time: 0.3946 data_time: 0.0150 memory: 17007 grad_norm: 7.5250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1913 loss: 2.1913 2022/07/28 09:29:14 - mmengine - INFO - Epoch(train) [96][3140/3757] lr: 4.5642e-03 eta: 1 day, 10:52:51 time: 0.3939 data_time: 0.0148 memory: 17007 grad_norm: 7.6357 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7583 loss: 1.7583 2022/07/28 09:29:22 - mmengine - INFO - Epoch(train) [96][3160/3757] lr: 4.5642e-03 eta: 1 day, 10:52:43 time: 0.3936 data_time: 0.0156 memory: 17007 grad_norm: 7.5315 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9740 loss: 1.9740 2022/07/28 09:29:30 - mmengine - INFO - Epoch(train) [96][3180/3757] lr: 4.5642e-03 eta: 1 day, 10:52:35 time: 0.4035 data_time: 0.0159 memory: 17007 grad_norm: 7.6094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9065 loss: 1.9065 2022/07/28 09:29:38 - mmengine - INFO - Epoch(train) [96][3200/3757] lr: 4.5642e-03 eta: 1 day, 10:52:27 time: 0.3937 data_time: 0.0157 memory: 17007 grad_norm: 7.9905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0629 loss: 2.0629 2022/07/28 09:29:46 - mmengine - INFO - Epoch(train) [96][3220/3757] lr: 4.5642e-03 eta: 1 day, 10:52:19 time: 0.3944 data_time: 0.0147 memory: 17007 grad_norm: 7.7497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9732 loss: 1.9732 2022/07/28 09:29:54 - mmengine - INFO - Epoch(train) [96][3240/3757] lr: 4.5642e-03 eta: 1 day, 10:52:12 time: 0.4042 data_time: 0.0166 memory: 17007 grad_norm: 7.5815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3139 loss: 2.3139 2022/07/28 09:30:02 - mmengine - INFO - Epoch(train) [96][3260/3757] lr: 4.5642e-03 eta: 1 day, 10:52:04 time: 0.3937 data_time: 0.0142 memory: 17007 grad_norm: 7.7842 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7531 loss: 1.7531 2022/07/28 09:30:10 - mmengine - INFO - Epoch(train) [96][3280/3757] lr: 4.5642e-03 eta: 1 day, 10:51:56 time: 0.3990 data_time: 0.0161 memory: 17007 grad_norm: 7.5267 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7052 loss: 1.7052 2022/07/28 09:30:17 - mmengine - INFO - Epoch(train) [96][3300/3757] lr: 4.5642e-03 eta: 1 day, 10:51:48 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 7.5818 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8982 loss: 1.8982 2022/07/28 09:30:25 - mmengine - INFO - Epoch(train) [96][3320/3757] lr: 4.5642e-03 eta: 1 day, 10:51:40 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 7.5546 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0240 loss: 2.0240 2022/07/28 09:30:33 - mmengine - INFO - Epoch(train) [96][3340/3757] lr: 4.5642e-03 eta: 1 day, 10:51:32 time: 0.3996 data_time: 0.0147 memory: 17007 grad_norm: 7.3381 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7074 loss: 1.7074 2022/07/28 09:30:41 - mmengine - INFO - Epoch(train) [96][3360/3757] lr: 4.5642e-03 eta: 1 day, 10:51:24 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 7.6623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0657 loss: 2.0657 2022/07/28 09:30:49 - mmengine - INFO - Epoch(train) [96][3380/3757] lr: 4.5642e-03 eta: 1 day, 10:51:16 time: 0.4006 data_time: 0.0159 memory: 17007 grad_norm: 7.7649 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9035 loss: 1.9035 2022/07/28 09:30:57 - mmengine - INFO - Epoch(train) [96][3400/3757] lr: 4.5642e-03 eta: 1 day, 10:51:08 time: 0.3959 data_time: 0.0157 memory: 17007 grad_norm: 7.5053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8579 loss: 1.8579 2022/07/28 09:31:05 - mmengine - INFO - Epoch(train) [96][3420/3757] lr: 4.5642e-03 eta: 1 day, 10:51:00 time: 0.3926 data_time: 0.0142 memory: 17007 grad_norm: 7.8484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0423 loss: 2.0423 2022/07/28 09:31:13 - mmengine - INFO - Epoch(train) [96][3440/3757] lr: 4.5642e-03 eta: 1 day, 10:50:52 time: 0.3960 data_time: 0.0158 memory: 17007 grad_norm: 7.6903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1269 loss: 2.1269 2022/07/28 09:31:21 - mmengine - INFO - Epoch(train) [96][3460/3757] lr: 4.5642e-03 eta: 1 day, 10:50:44 time: 0.3946 data_time: 0.0151 memory: 17007 grad_norm: 7.7297 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3145 loss: 2.3145 2022/07/28 09:31:29 - mmengine - INFO - Epoch(train) [96][3480/3757] lr: 4.5642e-03 eta: 1 day, 10:50:36 time: 0.3980 data_time: 0.0160 memory: 17007 grad_norm: 7.9588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0358 loss: 2.0358 2022/07/28 09:31:37 - mmengine - INFO - Epoch(train) [96][3500/3757] lr: 4.5642e-03 eta: 1 day, 10:50:28 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 7.4504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3609 loss: 2.3609 2022/07/28 09:31:45 - mmengine - INFO - Epoch(train) [96][3520/3757] lr: 4.5642e-03 eta: 1 day, 10:50:20 time: 0.3959 data_time: 0.0162 memory: 17007 grad_norm: 7.4095 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1243 loss: 2.1243 2022/07/28 09:31:53 - mmengine - INFO - Epoch(train) [96][3540/3757] lr: 4.5642e-03 eta: 1 day, 10:50:12 time: 0.3987 data_time: 0.0158 memory: 17007 grad_norm: 7.7319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7314 loss: 1.7314 2022/07/28 09:32:01 - mmengine - INFO - Epoch(train) [96][3560/3757] lr: 4.5642e-03 eta: 1 day, 10:50:04 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 7.4919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8882 loss: 1.8882 2022/07/28 09:32:09 - mmengine - INFO - Epoch(train) [96][3580/3757] lr: 4.5642e-03 eta: 1 day, 10:49:56 time: 0.4000 data_time: 0.0154 memory: 17007 grad_norm: 7.8031 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6575 loss: 1.6575 2022/07/28 09:32:16 - mmengine - INFO - Epoch(train) [96][3600/3757] lr: 4.5642e-03 eta: 1 day, 10:49:48 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.7301 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1191 loss: 2.1191 2022/07/28 09:32:24 - mmengine - INFO - Epoch(train) [96][3620/3757] lr: 4.5642e-03 eta: 1 day, 10:49:40 time: 0.3953 data_time: 0.0153 memory: 17007 grad_norm: 7.9803 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9471 loss: 1.9471 2022/07/28 09:32:32 - mmengine - INFO - Epoch(train) [96][3640/3757] lr: 4.5642e-03 eta: 1 day, 10:49:32 time: 0.3928 data_time: 0.0144 memory: 17007 grad_norm: 7.5951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9209 loss: 1.9209 2022/07/28 09:32:40 - mmengine - INFO - Epoch(train) [96][3660/3757] lr: 4.5642e-03 eta: 1 day, 10:49:24 time: 0.3984 data_time: 0.0161 memory: 17007 grad_norm: 7.6464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6901 loss: 1.6901 2022/07/28 09:32:48 - mmengine - INFO - Epoch(train) [96][3680/3757] lr: 4.5642e-03 eta: 1 day, 10:49:16 time: 0.3951 data_time: 0.0149 memory: 17007 grad_norm: 7.5064 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9274 loss: 1.9274 2022/07/28 09:32:56 - mmengine - INFO - Epoch(train) [96][3700/3757] lr: 4.5642e-03 eta: 1 day, 10:49:08 time: 0.3984 data_time: 0.0155 memory: 17007 grad_norm: 7.5323 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2118 loss: 2.2118 2022/07/28 09:33:04 - mmengine - INFO - Epoch(train) [96][3720/3757] lr: 4.5642e-03 eta: 1 day, 10:49:01 time: 0.3973 data_time: 0.0181 memory: 17007 grad_norm: 7.6757 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0295 loss: 2.0295 2022/07/28 09:33:12 - mmengine - INFO - Epoch(train) [96][3740/3757] lr: 4.5642e-03 eta: 1 day, 10:48:53 time: 0.3963 data_time: 0.0163 memory: 17007 grad_norm: 7.7935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8686 loss: 1.8686 2022/07/28 09:33:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:33:19 - mmengine - INFO - Epoch(train) [96][3757/3757] lr: 4.5642e-03 eta: 1 day, 10:48:53 time: 0.3922 data_time: 0.0167 memory: 17007 grad_norm: 7.8084 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.9765 loss: 1.9765 2022/07/28 09:33:19 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/07/28 09:33:30 - mmengine - INFO - Epoch(train) [97][20/3757] lr: 4.4774e-03 eta: 1 day, 10:48:33 time: 0.4580 data_time: 0.0749 memory: 17007 grad_norm: 7.6661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8869 loss: 1.8869 2022/07/28 09:33:38 - mmengine - INFO - Epoch(train) [97][40/3757] lr: 4.4774e-03 eta: 1 day, 10:48:25 time: 0.3950 data_time: 0.0145 memory: 17007 grad_norm: 7.5780 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9109 loss: 1.9109 2022/07/28 09:33:46 - mmengine - INFO - Epoch(train) [97][60/3757] lr: 4.4774e-03 eta: 1 day, 10:48:17 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 7.4546 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9690 loss: 1.9690 2022/07/28 09:33:54 - mmengine - INFO - Epoch(train) [97][80/3757] lr: 4.4774e-03 eta: 1 day, 10:48:09 time: 0.3980 data_time: 0.0156 memory: 17007 grad_norm: 7.4658 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0641 loss: 2.0641 2022/07/28 09:34:02 - mmengine - INFO - Epoch(train) [97][100/3757] lr: 4.4774e-03 eta: 1 day, 10:48:01 time: 0.3925 data_time: 0.0139 memory: 17007 grad_norm: 7.4691 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6358 loss: 1.6358 2022/07/28 09:34:09 - mmengine - INFO - Epoch(train) [97][120/3757] lr: 4.4774e-03 eta: 1 day, 10:47:53 time: 0.3970 data_time: 0.0161 memory: 17007 grad_norm: 7.7079 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8478 loss: 1.8478 2022/07/28 09:34:18 - mmengine - INFO - Epoch(train) [97][140/3757] lr: 4.4774e-03 eta: 1 day, 10:47:45 time: 0.4030 data_time: 0.0147 memory: 17007 grad_norm: 7.6391 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0711 loss: 2.0711 2022/07/28 09:34:25 - mmengine - INFO - Epoch(train) [97][160/3757] lr: 4.4774e-03 eta: 1 day, 10:47:37 time: 0.3929 data_time: 0.0149 memory: 17007 grad_norm: 7.3016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7064 loss: 1.7064 2022/07/28 09:34:33 - mmengine - INFO - Epoch(train) [97][180/3757] lr: 4.4774e-03 eta: 1 day, 10:47:29 time: 0.3946 data_time: 0.0151 memory: 17007 grad_norm: 7.6846 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8541 loss: 1.8541 2022/07/28 09:34:41 - mmengine - INFO - Epoch(train) [97][200/3757] lr: 4.4774e-03 eta: 1 day, 10:47:21 time: 0.3937 data_time: 0.0154 memory: 17007 grad_norm: 7.4829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7068 loss: 1.7068 2022/07/28 09:34:49 - mmengine - INFO - Epoch(train) [97][220/3757] lr: 4.4774e-03 eta: 1 day, 10:47:13 time: 0.3967 data_time: 0.0160 memory: 17007 grad_norm: 7.7198 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6315 loss: 1.6315 2022/07/28 09:34:57 - mmengine - INFO - Epoch(train) [97][240/3757] lr: 4.4774e-03 eta: 1 day, 10:47:05 time: 0.3961 data_time: 0.0160 memory: 17007 grad_norm: 7.5102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6034 loss: 1.6034 2022/07/28 09:35:05 - mmengine - INFO - Epoch(train) [97][260/3757] lr: 4.4774e-03 eta: 1 day, 10:46:57 time: 0.3923 data_time: 0.0149 memory: 17007 grad_norm: 7.5698 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9416 loss: 1.9416 2022/07/28 09:35:13 - mmengine - INFO - Epoch(train) [97][280/3757] lr: 4.4774e-03 eta: 1 day, 10:46:49 time: 0.3945 data_time: 0.0169 memory: 17007 grad_norm: 7.5437 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8132 loss: 1.8132 2022/07/28 09:35:21 - mmengine - INFO - Epoch(train) [97][300/3757] lr: 4.4774e-03 eta: 1 day, 10:46:41 time: 0.3935 data_time: 0.0138 memory: 17007 grad_norm: 7.3063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9032 loss: 1.9032 2022/07/28 09:35:29 - mmengine - INFO - Epoch(train) [97][320/3757] lr: 4.4774e-03 eta: 1 day, 10:46:34 time: 0.3993 data_time: 0.0162 memory: 17007 grad_norm: 7.2460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9194 loss: 1.9194 2022/07/28 09:35:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:35:37 - mmengine - INFO - Epoch(train) [97][340/3757] lr: 4.4774e-03 eta: 1 day, 10:46:26 time: 0.3938 data_time: 0.0136 memory: 17007 grad_norm: 7.5232 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0009 loss: 2.0009 2022/07/28 09:35:44 - mmengine - INFO - Epoch(train) [97][360/3757] lr: 4.4774e-03 eta: 1 day, 10:46:18 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 7.4456 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1402 loss: 2.1402 2022/07/28 09:35:52 - mmengine - INFO - Epoch(train) [97][380/3757] lr: 4.4774e-03 eta: 1 day, 10:46:10 time: 0.3959 data_time: 0.0153 memory: 17007 grad_norm: 7.3779 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8253 loss: 1.8253 2022/07/28 09:36:00 - mmengine - INFO - Epoch(train) [97][400/3757] lr: 4.4774e-03 eta: 1 day, 10:46:02 time: 0.3948 data_time: 0.0154 memory: 17007 grad_norm: 7.3035 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7880 loss: 1.7880 2022/07/28 09:36:08 - mmengine - INFO - Epoch(train) [97][420/3757] lr: 4.4774e-03 eta: 1 day, 10:45:54 time: 0.4012 data_time: 0.0161 memory: 17007 grad_norm: 7.4971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9820 loss: 1.9820 2022/07/28 09:36:16 - mmengine - INFO - Epoch(train) [97][440/3757] lr: 4.4774e-03 eta: 1 day, 10:45:46 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 8.1083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0884 loss: 2.0884 2022/07/28 09:36:24 - mmengine - INFO - Epoch(train) [97][460/3757] lr: 4.4774e-03 eta: 1 day, 10:45:38 time: 0.3945 data_time: 0.0147 memory: 17007 grad_norm: 7.6711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8056 loss: 1.8056 2022/07/28 09:36:32 - mmengine - INFO - Epoch(train) [97][480/3757] lr: 4.4774e-03 eta: 1 day, 10:45:30 time: 0.4018 data_time: 0.0155 memory: 17007 grad_norm: 7.5616 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1244 loss: 2.1244 2022/07/28 09:36:40 - mmengine - INFO - Epoch(train) [97][500/3757] lr: 4.4774e-03 eta: 1 day, 10:45:22 time: 0.3931 data_time: 0.0155 memory: 17007 grad_norm: 7.5554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0524 loss: 2.0524 2022/07/28 09:36:48 - mmengine - INFO - Epoch(train) [97][520/3757] lr: 4.4774e-03 eta: 1 day, 10:45:14 time: 0.3956 data_time: 0.0159 memory: 17007 grad_norm: 7.2722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7054 loss: 1.7054 2022/07/28 09:36:56 - mmengine - INFO - Epoch(train) [97][540/3757] lr: 4.4774e-03 eta: 1 day, 10:45:06 time: 0.3928 data_time: 0.0145 memory: 17007 grad_norm: 7.7769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6799 loss: 1.6799 2022/07/28 09:37:04 - mmengine - INFO - Epoch(train) [97][560/3757] lr: 4.4774e-03 eta: 1 day, 10:44:58 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 7.7589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1274 loss: 2.1274 2022/07/28 09:37:12 - mmengine - INFO - Epoch(train) [97][580/3757] lr: 4.4774e-03 eta: 1 day, 10:44:50 time: 0.3990 data_time: 0.0157 memory: 17007 grad_norm: 7.6307 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8660 loss: 1.8660 2022/07/28 09:37:20 - mmengine - INFO - Epoch(train) [97][600/3757] lr: 4.4774e-03 eta: 1 day, 10:44:42 time: 0.3964 data_time: 0.0163 memory: 17007 grad_norm: 7.6743 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7182 loss: 1.7182 2022/07/28 09:37:28 - mmengine - INFO - Epoch(train) [97][620/3757] lr: 4.4774e-03 eta: 1 day, 10:44:34 time: 0.4065 data_time: 0.0135 memory: 17007 grad_norm: 7.6233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8658 loss: 1.8658 2022/07/28 09:37:36 - mmengine - INFO - Epoch(train) [97][640/3757] lr: 4.4774e-03 eta: 1 day, 10:44:26 time: 0.3938 data_time: 0.0156 memory: 17007 grad_norm: 8.0872 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1986 loss: 2.1986 2022/07/28 09:37:44 - mmengine - INFO - Epoch(train) [97][660/3757] lr: 4.4774e-03 eta: 1 day, 10:44:18 time: 0.3943 data_time: 0.0147 memory: 17007 grad_norm: 7.5899 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1925 loss: 2.1925 2022/07/28 09:37:52 - mmengine - INFO - Epoch(train) [97][680/3757] lr: 4.4774e-03 eta: 1 day, 10:44:10 time: 0.4084 data_time: 0.0169 memory: 17007 grad_norm: 7.5916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8589 loss: 1.8589 2022/07/28 09:38:00 - mmengine - INFO - Epoch(train) [97][700/3757] lr: 4.4774e-03 eta: 1 day, 10:44:03 time: 0.3960 data_time: 0.0152 memory: 17007 grad_norm: 7.6610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8759 loss: 1.8759 2022/07/28 09:38:08 - mmengine - INFO - Epoch(train) [97][720/3757] lr: 4.4774e-03 eta: 1 day, 10:43:55 time: 0.4135 data_time: 0.0152 memory: 17007 grad_norm: 7.7349 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7832 loss: 1.7832 2022/07/28 09:38:16 - mmengine - INFO - Epoch(train) [97][740/3757] lr: 4.4774e-03 eta: 1 day, 10:43:47 time: 0.3944 data_time: 0.0141 memory: 17007 grad_norm: 7.7086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9623 loss: 1.9623 2022/07/28 09:38:24 - mmengine - INFO - Epoch(train) [97][760/3757] lr: 4.4774e-03 eta: 1 day, 10:43:39 time: 0.3977 data_time: 0.0151 memory: 17007 grad_norm: 7.9002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7621 loss: 1.7621 2022/07/28 09:38:32 - mmengine - INFO - Epoch(train) [97][780/3757] lr: 4.4774e-03 eta: 1 day, 10:43:31 time: 0.3990 data_time: 0.0167 memory: 17007 grad_norm: 7.4774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7860 loss: 1.7860 2022/07/28 09:38:40 - mmengine - INFO - Epoch(train) [97][800/3757] lr: 4.4774e-03 eta: 1 day, 10:43:23 time: 0.3953 data_time: 0.0163 memory: 17007 grad_norm: 7.6230 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3075 loss: 2.3075 2022/07/28 09:38:48 - mmengine - INFO - Epoch(train) [97][820/3757] lr: 4.4774e-03 eta: 1 day, 10:43:15 time: 0.3998 data_time: 0.0162 memory: 17007 grad_norm: 7.4653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9313 loss: 1.9313 2022/07/28 09:38:56 - mmengine - INFO - Epoch(train) [97][840/3757] lr: 4.4774e-03 eta: 1 day, 10:43:07 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 7.6926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7387 loss: 1.7387 2022/07/28 09:39:04 - mmengine - INFO - Epoch(train) [97][860/3757] lr: 4.4774e-03 eta: 1 day, 10:42:59 time: 0.3954 data_time: 0.0147 memory: 17007 grad_norm: 7.1941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6467 loss: 1.6467 2022/07/28 09:39:12 - mmengine - INFO - Epoch(train) [97][880/3757] lr: 4.4774e-03 eta: 1 day, 10:42:51 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 7.7898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9639 loss: 1.9639 2022/07/28 09:39:19 - mmengine - INFO - Epoch(train) [97][900/3757] lr: 4.4774e-03 eta: 1 day, 10:42:43 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 7.7899 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7701 loss: 1.7701 2022/07/28 09:39:27 - mmengine - INFO - Epoch(train) [97][920/3757] lr: 4.4774e-03 eta: 1 day, 10:42:35 time: 0.3942 data_time: 0.0139 memory: 17007 grad_norm: 7.7453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0163 loss: 2.0163 2022/07/28 09:39:35 - mmengine - INFO - Epoch(train) [97][940/3757] lr: 4.4774e-03 eta: 1 day, 10:42:27 time: 0.3982 data_time: 0.0148 memory: 17007 grad_norm: 7.7819 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0440 loss: 2.0440 2022/07/28 09:39:43 - mmengine - INFO - Epoch(train) [97][960/3757] lr: 4.4774e-03 eta: 1 day, 10:42:19 time: 0.3969 data_time: 0.0155 memory: 17007 grad_norm: 7.5757 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0017 loss: 2.0017 2022/07/28 09:39:51 - mmengine - INFO - Epoch(train) [97][980/3757] lr: 4.4774e-03 eta: 1 day, 10:42:11 time: 0.3955 data_time: 0.0157 memory: 17007 grad_norm: 7.6111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9795 loss: 1.9795 2022/07/28 09:39:59 - mmengine - INFO - Epoch(train) [97][1000/3757] lr: 4.4774e-03 eta: 1 day, 10:42:03 time: 0.3960 data_time: 0.0163 memory: 17007 grad_norm: 7.8419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7293 loss: 1.7293 2022/07/28 09:40:07 - mmengine - INFO - Epoch(train) [97][1020/3757] lr: 4.4774e-03 eta: 1 day, 10:41:55 time: 0.3949 data_time: 0.0161 memory: 17007 grad_norm: 7.5503 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7614 loss: 1.7614 2022/07/28 09:40:15 - mmengine - INFO - Epoch(train) [97][1040/3757] lr: 4.4774e-03 eta: 1 day, 10:41:47 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 8.0259 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1275 loss: 2.1275 2022/07/28 09:40:23 - mmengine - INFO - Epoch(train) [97][1060/3757] lr: 4.4774e-03 eta: 1 day, 10:41:40 time: 0.3983 data_time: 0.0165 memory: 17007 grad_norm: 7.8552 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8730 loss: 1.8730 2022/07/28 09:40:31 - mmengine - INFO - Epoch(train) [97][1080/3757] lr: 4.4774e-03 eta: 1 day, 10:41:32 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 7.6731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0891 loss: 2.0891 2022/07/28 09:40:39 - mmengine - INFO - Epoch(train) [97][1100/3757] lr: 4.4774e-03 eta: 1 day, 10:41:24 time: 0.4026 data_time: 0.0147 memory: 17007 grad_norm: 7.7645 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5673 loss: 1.5673 2022/07/28 09:40:47 - mmengine - INFO - Epoch(train) [97][1120/3757] lr: 4.4774e-03 eta: 1 day, 10:41:16 time: 0.3961 data_time: 0.0166 memory: 17007 grad_norm: 7.6642 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7232 loss: 1.7232 2022/07/28 09:40:55 - mmengine - INFO - Epoch(train) [97][1140/3757] lr: 4.4774e-03 eta: 1 day, 10:41:08 time: 0.3932 data_time: 0.0139 memory: 17007 grad_norm: 7.6027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7892 loss: 1.7892 2022/07/28 09:41:03 - mmengine - INFO - Epoch(train) [97][1160/3757] lr: 4.4774e-03 eta: 1 day, 10:41:00 time: 0.3978 data_time: 0.0171 memory: 17007 grad_norm: 7.4396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0460 loss: 2.0460 2022/07/28 09:41:11 - mmengine - INFO - Epoch(train) [97][1180/3757] lr: 4.4774e-03 eta: 1 day, 10:40:52 time: 0.3970 data_time: 0.0147 memory: 17007 grad_norm: 7.7137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6772 loss: 1.6772 2022/07/28 09:41:19 - mmengine - INFO - Epoch(train) [97][1200/3757] lr: 4.4774e-03 eta: 1 day, 10:40:44 time: 0.3993 data_time: 0.0168 memory: 17007 grad_norm: 7.6012 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9209 loss: 1.9209 2022/07/28 09:41:26 - mmengine - INFO - Epoch(train) [97][1220/3757] lr: 4.4774e-03 eta: 1 day, 10:40:36 time: 0.3948 data_time: 0.0147 memory: 17007 grad_norm: 7.6242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8030 loss: 1.8030 2022/07/28 09:41:34 - mmengine - INFO - Epoch(train) [97][1240/3757] lr: 4.4774e-03 eta: 1 day, 10:40:28 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.7526 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6782 loss: 1.6782 2022/07/28 09:41:42 - mmengine - INFO - Epoch(train) [97][1260/3757] lr: 4.4774e-03 eta: 1 day, 10:40:20 time: 0.4021 data_time: 0.0167 memory: 17007 grad_norm: 7.5260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6606 loss: 1.6606 2022/07/28 09:41:50 - mmengine - INFO - Epoch(train) [97][1280/3757] lr: 4.4774e-03 eta: 1 day, 10:40:12 time: 0.4002 data_time: 0.0155 memory: 17007 grad_norm: 7.6865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0110 loss: 2.0110 2022/07/28 09:41:58 - mmengine - INFO - Epoch(train) [97][1300/3757] lr: 4.4774e-03 eta: 1 day, 10:40:04 time: 0.3951 data_time: 0.0151 memory: 17007 grad_norm: 7.5336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8619 loss: 1.8619 2022/07/28 09:42:06 - mmengine - INFO - Epoch(train) [97][1320/3757] lr: 4.4774e-03 eta: 1 day, 10:39:56 time: 0.3957 data_time: 0.0159 memory: 17007 grad_norm: 7.3719 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9986 loss: 1.9986 2022/07/28 09:42:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:42:15 - mmengine - INFO - Epoch(train) [97][1340/3757] lr: 4.4774e-03 eta: 1 day, 10:39:49 time: 0.4120 data_time: 0.0151 memory: 17007 grad_norm: 7.6404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2148 loss: 2.2148 2022/07/28 09:42:23 - mmengine - INFO - Epoch(train) [97][1360/3757] lr: 4.4774e-03 eta: 1 day, 10:39:41 time: 0.3969 data_time: 0.0161 memory: 17007 grad_norm: 7.5498 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8278 loss: 1.8278 2022/07/28 09:42:30 - mmengine - INFO - Epoch(train) [97][1380/3757] lr: 4.4774e-03 eta: 1 day, 10:39:33 time: 0.3931 data_time: 0.0152 memory: 17007 grad_norm: 7.4124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8089 loss: 1.8089 2022/07/28 09:42:39 - mmengine - INFO - Epoch(train) [97][1400/3757] lr: 4.4774e-03 eta: 1 day, 10:39:25 time: 0.4083 data_time: 0.0174 memory: 17007 grad_norm: 7.7215 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8537 loss: 1.8537 2022/07/28 09:42:46 - mmengine - INFO - Epoch(train) [97][1420/3757] lr: 4.4774e-03 eta: 1 day, 10:39:17 time: 0.3936 data_time: 0.0154 memory: 17007 grad_norm: 7.5634 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8659 loss: 1.8659 2022/07/28 09:42:54 - mmengine - INFO - Epoch(train) [97][1440/3757] lr: 4.4774e-03 eta: 1 day, 10:39:09 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 7.5613 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7209 loss: 1.7209 2022/07/28 09:43:02 - mmengine - INFO - Epoch(train) [97][1460/3757] lr: 4.4774e-03 eta: 1 day, 10:39:01 time: 0.3968 data_time: 0.0148 memory: 17007 grad_norm: 7.9852 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0506 loss: 2.0506 2022/07/28 09:43:10 - mmengine - INFO - Epoch(train) [97][1480/3757] lr: 4.4774e-03 eta: 1 day, 10:38:53 time: 0.3968 data_time: 0.0160 memory: 17007 grad_norm: 8.0512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0537 loss: 2.0537 2022/07/28 09:43:18 - mmengine - INFO - Epoch(train) [97][1500/3757] lr: 4.4774e-03 eta: 1 day, 10:38:45 time: 0.3964 data_time: 0.0137 memory: 17007 grad_norm: 7.4208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9816 loss: 1.9816 2022/07/28 09:43:26 - mmengine - INFO - Epoch(train) [97][1520/3757] lr: 4.4774e-03 eta: 1 day, 10:38:37 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 7.4583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8923 loss: 1.8923 2022/07/28 09:43:34 - mmengine - INFO - Epoch(train) [97][1540/3757] lr: 4.4774e-03 eta: 1 day, 10:38:29 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 7.4246 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9891 loss: 1.9891 2022/07/28 09:43:42 - mmengine - INFO - Epoch(train) [97][1560/3757] lr: 4.4774e-03 eta: 1 day, 10:38:21 time: 0.3974 data_time: 0.0156 memory: 17007 grad_norm: 7.7080 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0466 loss: 2.0466 2022/07/28 09:43:50 - mmengine - INFO - Epoch(train) [97][1580/3757] lr: 4.4774e-03 eta: 1 day, 10:38:13 time: 0.3963 data_time: 0.0155 memory: 17007 grad_norm: 7.3287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7221 loss: 1.7221 2022/07/28 09:43:58 - mmengine - INFO - Epoch(train) [97][1600/3757] lr: 4.4774e-03 eta: 1 day, 10:38:05 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 7.6113 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0660 loss: 2.0660 2022/07/28 09:44:06 - mmengine - INFO - Epoch(train) [97][1620/3757] lr: 4.4774e-03 eta: 1 day, 10:37:57 time: 0.4004 data_time: 0.0155 memory: 17007 grad_norm: 7.4353 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6498 loss: 1.6498 2022/07/28 09:44:14 - mmengine - INFO - Epoch(train) [97][1640/3757] lr: 4.4774e-03 eta: 1 day, 10:37:49 time: 0.3982 data_time: 0.0148 memory: 17007 grad_norm: 7.5800 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0249 loss: 2.0249 2022/07/28 09:44:22 - mmengine - INFO - Epoch(train) [97][1660/3757] lr: 4.4774e-03 eta: 1 day, 10:37:41 time: 0.3952 data_time: 0.0150 memory: 17007 grad_norm: 7.3814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8890 loss: 1.8890 2022/07/28 09:44:30 - mmengine - INFO - Epoch(train) [97][1680/3757] lr: 4.4774e-03 eta: 1 day, 10:37:33 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 7.6508 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5623 loss: 1.5623 2022/07/28 09:44:38 - mmengine - INFO - Epoch(train) [97][1700/3757] lr: 4.4774e-03 eta: 1 day, 10:37:25 time: 0.3941 data_time: 0.0145 memory: 17007 grad_norm: 7.3399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8827 loss: 1.8827 2022/07/28 09:44:45 - mmengine - INFO - Epoch(train) [97][1720/3757] lr: 4.4774e-03 eta: 1 day, 10:37:18 time: 0.3970 data_time: 0.0163 memory: 17007 grad_norm: 7.5354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8778 loss: 1.8778 2022/07/28 09:44:53 - mmengine - INFO - Epoch(train) [97][1740/3757] lr: 4.4774e-03 eta: 1 day, 10:37:10 time: 0.3928 data_time: 0.0138 memory: 17007 grad_norm: 7.5827 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8721 loss: 1.8721 2022/07/28 09:45:01 - mmengine - INFO - Epoch(train) [97][1760/3757] lr: 4.4774e-03 eta: 1 day, 10:37:02 time: 0.3960 data_time: 0.0164 memory: 17007 grad_norm: 7.3500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8891 loss: 1.8891 2022/07/28 09:45:09 - mmengine - INFO - Epoch(train) [97][1780/3757] lr: 4.4774e-03 eta: 1 day, 10:36:54 time: 0.3969 data_time: 0.0162 memory: 17007 grad_norm: 7.7784 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8629 loss: 1.8629 2022/07/28 09:45:17 - mmengine - INFO - Epoch(train) [97][1800/3757] lr: 4.4774e-03 eta: 1 day, 10:36:46 time: 0.3950 data_time: 0.0154 memory: 17007 grad_norm: 7.3282 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7520 loss: 1.7520 2022/07/28 09:45:25 - mmengine - INFO - Epoch(train) [97][1820/3757] lr: 4.4774e-03 eta: 1 day, 10:36:38 time: 0.3995 data_time: 0.0153 memory: 17007 grad_norm: 7.5946 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8209 loss: 1.8209 2022/07/28 09:45:33 - mmengine - INFO - Epoch(train) [97][1840/3757] lr: 4.4774e-03 eta: 1 day, 10:36:30 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 7.6076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8734 loss: 1.8734 2022/07/28 09:45:41 - mmengine - INFO - Epoch(train) [97][1860/3757] lr: 4.4774e-03 eta: 1 day, 10:36:22 time: 0.3970 data_time: 0.0159 memory: 17007 grad_norm: 7.4298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7319 loss: 1.7319 2022/07/28 09:45:49 - mmengine - INFO - Epoch(train) [97][1880/3757] lr: 4.4774e-03 eta: 1 day, 10:36:14 time: 0.3948 data_time: 0.0154 memory: 17007 grad_norm: 7.7751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7551 loss: 1.7551 2022/07/28 09:45:57 - mmengine - INFO - Epoch(train) [97][1900/3757] lr: 4.4774e-03 eta: 1 day, 10:36:06 time: 0.3929 data_time: 0.0142 memory: 17007 grad_norm: 7.8381 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9900 loss: 1.9900 2022/07/28 09:46:05 - mmengine - INFO - Epoch(train) [97][1920/3757] lr: 4.4774e-03 eta: 1 day, 10:35:58 time: 0.4006 data_time: 0.0161 memory: 17007 grad_norm: 7.8672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0147 loss: 2.0147 2022/07/28 09:46:13 - mmengine - INFO - Epoch(train) [97][1940/3757] lr: 4.4774e-03 eta: 1 day, 10:35:50 time: 0.3930 data_time: 0.0141 memory: 17007 grad_norm: 7.2337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9599 loss: 1.9599 2022/07/28 09:46:21 - mmengine - INFO - Epoch(train) [97][1960/3757] lr: 4.4774e-03 eta: 1 day, 10:35:42 time: 0.3985 data_time: 0.0164 memory: 17007 grad_norm: 7.6440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4947 loss: 1.4947 2022/07/28 09:46:29 - mmengine - INFO - Epoch(train) [97][1980/3757] lr: 4.4774e-03 eta: 1 day, 10:35:34 time: 0.3935 data_time: 0.0136 memory: 17007 grad_norm: 7.7228 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0259 loss: 2.0259 2022/07/28 09:46:36 - mmengine - INFO - Epoch(train) [97][2000/3757] lr: 4.4774e-03 eta: 1 day, 10:35:26 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 7.5708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6308 loss: 1.6308 2022/07/28 09:46:45 - mmengine - INFO - Epoch(train) [97][2020/3757] lr: 4.4774e-03 eta: 1 day, 10:35:18 time: 0.4067 data_time: 0.0148 memory: 17007 grad_norm: 7.7592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9172 loss: 1.9172 2022/07/28 09:46:53 - mmengine - INFO - Epoch(train) [97][2040/3757] lr: 4.4774e-03 eta: 1 day, 10:35:10 time: 0.3961 data_time: 0.0166 memory: 17007 grad_norm: 7.5872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9084 loss: 1.9084 2022/07/28 09:47:01 - mmengine - INFO - Epoch(train) [97][2060/3757] lr: 4.4774e-03 eta: 1 day, 10:35:02 time: 0.4000 data_time: 0.0145 memory: 17007 grad_norm: 7.8735 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7035 loss: 1.7035 2022/07/28 09:47:08 - mmengine - INFO - Epoch(train) [97][2080/3757] lr: 4.4774e-03 eta: 1 day, 10:34:54 time: 0.3961 data_time: 0.0162 memory: 17007 grad_norm: 7.7474 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8929 loss: 1.8929 2022/07/28 09:47:16 - mmengine - INFO - Epoch(train) [97][2100/3757] lr: 4.4774e-03 eta: 1 day, 10:34:47 time: 0.3972 data_time: 0.0144 memory: 17007 grad_norm: 7.8949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8524 loss: 1.8524 2022/07/28 09:47:25 - mmengine - INFO - Epoch(train) [97][2120/3757] lr: 4.4774e-03 eta: 1 day, 10:34:39 time: 0.4041 data_time: 0.0153 memory: 17007 grad_norm: 7.8263 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2848 loss: 2.2848 2022/07/28 09:47:32 - mmengine - INFO - Epoch(train) [97][2140/3757] lr: 4.4774e-03 eta: 1 day, 10:34:31 time: 0.3960 data_time: 0.0165 memory: 17007 grad_norm: 7.3427 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7031 loss: 1.7031 2022/07/28 09:47:40 - mmengine - INFO - Epoch(train) [97][2160/3757] lr: 4.4774e-03 eta: 1 day, 10:34:23 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 7.5385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0966 loss: 2.0966 2022/07/28 09:47:48 - mmengine - INFO - Epoch(train) [97][2180/3757] lr: 4.4774e-03 eta: 1 day, 10:34:15 time: 0.3928 data_time: 0.0134 memory: 17007 grad_norm: 7.6404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6543 loss: 1.6543 2022/07/28 09:47:56 - mmengine - INFO - Epoch(train) [97][2200/3757] lr: 4.4774e-03 eta: 1 day, 10:34:07 time: 0.3997 data_time: 0.0165 memory: 17007 grad_norm: 7.5425 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8485 loss: 1.8485 2022/07/28 09:48:04 - mmengine - INFO - Epoch(train) [97][2220/3757] lr: 4.4774e-03 eta: 1 day, 10:33:59 time: 0.3955 data_time: 0.0140 memory: 17007 grad_norm: 7.5619 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9679 loss: 1.9679 2022/07/28 09:48:12 - mmengine - INFO - Epoch(train) [97][2240/3757] lr: 4.4774e-03 eta: 1 day, 10:33:51 time: 0.3971 data_time: 0.0168 memory: 17007 grad_norm: 7.7408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7853 loss: 1.7853 2022/07/28 09:48:20 - mmengine - INFO - Epoch(train) [97][2260/3757] lr: 4.4774e-03 eta: 1 day, 10:33:43 time: 0.3973 data_time: 0.0147 memory: 17007 grad_norm: 7.7748 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7344 loss: 1.7344 2022/07/28 09:48:28 - mmengine - INFO - Epoch(train) [97][2280/3757] lr: 4.4774e-03 eta: 1 day, 10:33:35 time: 0.3928 data_time: 0.0149 memory: 17007 grad_norm: 7.3703 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7684 loss: 1.7684 2022/07/28 09:48:36 - mmengine - INFO - Epoch(train) [97][2300/3757] lr: 4.4774e-03 eta: 1 day, 10:33:27 time: 0.3961 data_time: 0.0158 memory: 17007 grad_norm: 7.6639 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7467 loss: 1.7467 2022/07/28 09:48:44 - mmengine - INFO - Epoch(train) [97][2320/3757] lr: 4.4774e-03 eta: 1 day, 10:33:19 time: 0.4049 data_time: 0.0154 memory: 17007 grad_norm: 7.7588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9173 loss: 1.9173 2022/07/28 09:48:47 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:48:52 - mmengine - INFO - Epoch(train) [97][2340/3757] lr: 4.4774e-03 eta: 1 day, 10:33:11 time: 0.3958 data_time: 0.0164 memory: 17007 grad_norm: 7.7962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7491 loss: 1.7491 2022/07/28 09:49:00 - mmengine - INFO - Epoch(train) [97][2360/3757] lr: 4.4774e-03 eta: 1 day, 10:33:03 time: 0.3944 data_time: 0.0153 memory: 17007 grad_norm: 7.6145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0154 loss: 2.0154 2022/07/28 09:49:08 - mmengine - INFO - Epoch(train) [97][2380/3757] lr: 4.4774e-03 eta: 1 day, 10:32:55 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 7.8648 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1225 loss: 2.1225 2022/07/28 09:49:16 - mmengine - INFO - Epoch(train) [97][2400/3757] lr: 4.4774e-03 eta: 1 day, 10:32:47 time: 0.3984 data_time: 0.0168 memory: 17007 grad_norm: 7.6422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3916 loss: 2.3916 2022/07/28 09:49:24 - mmengine - INFO - Epoch(train) [97][2420/3757] lr: 4.4774e-03 eta: 1 day, 10:32:39 time: 0.3932 data_time: 0.0128 memory: 17007 grad_norm: 7.7912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0912 loss: 2.0912 2022/07/28 09:49:32 - mmengine - INFO - Epoch(train) [97][2440/3757] lr: 4.4774e-03 eta: 1 day, 10:32:32 time: 0.4035 data_time: 0.0170 memory: 17007 grad_norm: 7.6624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5166 loss: 1.5166 2022/07/28 09:49:40 - mmengine - INFO - Epoch(train) [97][2460/3757] lr: 4.4774e-03 eta: 1 day, 10:32:24 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 7.6360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9198 loss: 1.9198 2022/07/28 09:49:47 - mmengine - INFO - Epoch(train) [97][2480/3757] lr: 4.4774e-03 eta: 1 day, 10:32:15 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 7.6401 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9185 loss: 1.9185 2022/07/28 09:49:56 - mmengine - INFO - Epoch(train) [97][2500/3757] lr: 4.4774e-03 eta: 1 day, 10:32:08 time: 0.4025 data_time: 0.0154 memory: 17007 grad_norm: 7.4133 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6906 loss: 1.6906 2022/07/28 09:50:04 - mmengine - INFO - Epoch(train) [97][2520/3757] lr: 4.4774e-03 eta: 1 day, 10:32:00 time: 0.4004 data_time: 0.0164 memory: 17007 grad_norm: 7.6348 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8024 loss: 1.8024 2022/07/28 09:50:11 - mmengine - INFO - Epoch(train) [97][2540/3757] lr: 4.4774e-03 eta: 1 day, 10:31:52 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 7.7750 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9383 loss: 1.9383 2022/07/28 09:50:19 - mmengine - INFO - Epoch(train) [97][2560/3757] lr: 4.4774e-03 eta: 1 day, 10:31:44 time: 0.3988 data_time: 0.0165 memory: 17007 grad_norm: 7.9311 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2256 loss: 2.2256 2022/07/28 09:50:27 - mmengine - INFO - Epoch(train) [97][2580/3757] lr: 4.4774e-03 eta: 1 day, 10:31:36 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 7.6141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9530 loss: 1.9530 2022/07/28 09:50:35 - mmengine - INFO - Epoch(train) [97][2600/3757] lr: 4.4774e-03 eta: 1 day, 10:31:28 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 7.5564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5987 loss: 1.5987 2022/07/28 09:50:43 - mmengine - INFO - Epoch(train) [97][2620/3757] lr: 4.4774e-03 eta: 1 day, 10:31:20 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 7.7346 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9273 loss: 1.9273 2022/07/28 09:50:51 - mmengine - INFO - Epoch(train) [97][2640/3757] lr: 4.4774e-03 eta: 1 day, 10:31:12 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 7.6351 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0455 loss: 2.0455 2022/07/28 09:50:59 - mmengine - INFO - Epoch(train) [97][2660/3757] lr: 4.4774e-03 eta: 1 day, 10:31:04 time: 0.3950 data_time: 0.0145 memory: 17007 grad_norm: 7.5683 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7020 loss: 1.7020 2022/07/28 09:51:07 - mmengine - INFO - Epoch(train) [97][2680/3757] lr: 4.4774e-03 eta: 1 day, 10:30:56 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 7.8552 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9643 loss: 1.9643 2022/07/28 09:51:15 - mmengine - INFO - Epoch(train) [97][2700/3757] lr: 4.4774e-03 eta: 1 day, 10:30:48 time: 0.3964 data_time: 0.0146 memory: 17007 grad_norm: 7.8150 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7286 loss: 1.7286 2022/07/28 09:51:23 - mmengine - INFO - Epoch(train) [97][2720/3757] lr: 4.4774e-03 eta: 1 day, 10:30:40 time: 0.4033 data_time: 0.0151 memory: 17007 grad_norm: 7.7264 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8127 loss: 1.8127 2022/07/28 09:51:31 - mmengine - INFO - Epoch(train) [97][2740/3757] lr: 4.4774e-03 eta: 1 day, 10:30:32 time: 0.3949 data_time: 0.0164 memory: 17007 grad_norm: 7.4658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0624 loss: 2.0624 2022/07/28 09:51:39 - mmengine - INFO - Epoch(train) [97][2760/3757] lr: 4.4774e-03 eta: 1 day, 10:30:24 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 7.3490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0305 loss: 2.0305 2022/07/28 09:51:47 - mmengine - INFO - Epoch(train) [97][2780/3757] lr: 4.4774e-03 eta: 1 day, 10:30:16 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 7.4233 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0235 loss: 2.0235 2022/07/28 09:51:55 - mmengine - INFO - Epoch(train) [97][2800/3757] lr: 4.4774e-03 eta: 1 day, 10:30:08 time: 0.3992 data_time: 0.0172 memory: 17007 grad_norm: 7.5722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6414 loss: 1.6414 2022/07/28 09:52:03 - mmengine - INFO - Epoch(train) [97][2820/3757] lr: 4.4774e-03 eta: 1 day, 10:30:00 time: 0.3942 data_time: 0.0151 memory: 17007 grad_norm: 8.2935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7865 loss: 1.7865 2022/07/28 09:52:11 - mmengine - INFO - Epoch(train) [97][2840/3757] lr: 4.4774e-03 eta: 1 day, 10:29:53 time: 0.4063 data_time: 0.0165 memory: 17007 grad_norm: 7.4351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6202 loss: 1.6202 2022/07/28 09:52:19 - mmengine - INFO - Epoch(train) [97][2860/3757] lr: 4.4774e-03 eta: 1 day, 10:29:45 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 7.7040 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9527 loss: 1.9527 2022/07/28 09:52:26 - mmengine - INFO - Epoch(train) [97][2880/3757] lr: 4.4774e-03 eta: 1 day, 10:29:37 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 7.4345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8642 loss: 1.8642 2022/07/28 09:52:34 - mmengine - INFO - Epoch(train) [97][2900/3757] lr: 4.4774e-03 eta: 1 day, 10:29:29 time: 0.3971 data_time: 0.0170 memory: 17007 grad_norm: 8.0223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1355 loss: 2.1355 2022/07/28 09:52:42 - mmengine - INFO - Epoch(train) [97][2920/3757] lr: 4.4774e-03 eta: 1 day, 10:29:21 time: 0.3972 data_time: 0.0169 memory: 17007 grad_norm: 7.6879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9724 loss: 1.9724 2022/07/28 09:52:50 - mmengine - INFO - Epoch(train) [97][2940/3757] lr: 4.4774e-03 eta: 1 day, 10:29:13 time: 0.3980 data_time: 0.0159 memory: 17007 grad_norm: 7.6056 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9756 loss: 1.9756 2022/07/28 09:52:58 - mmengine - INFO - Epoch(train) [97][2960/3757] lr: 4.4774e-03 eta: 1 day, 10:29:05 time: 0.3975 data_time: 0.0160 memory: 17007 grad_norm: 7.9509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1101 loss: 2.1101 2022/07/28 09:53:06 - mmengine - INFO - Epoch(train) [97][2980/3757] lr: 4.4774e-03 eta: 1 day, 10:28:57 time: 0.3992 data_time: 0.0159 memory: 17007 grad_norm: 7.9254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7970 loss: 1.7970 2022/07/28 09:53:14 - mmengine - INFO - Epoch(train) [97][3000/3757] lr: 4.4774e-03 eta: 1 day, 10:28:49 time: 0.3994 data_time: 0.0164 memory: 17007 grad_norm: 7.9519 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2537 loss: 2.2537 2022/07/28 09:53:22 - mmengine - INFO - Epoch(train) [97][3020/3757] lr: 4.4774e-03 eta: 1 day, 10:28:41 time: 0.3960 data_time: 0.0150 memory: 17007 grad_norm: 7.9163 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9182 loss: 1.9182 2022/07/28 09:53:30 - mmengine - INFO - Epoch(train) [97][3040/3757] lr: 4.4774e-03 eta: 1 day, 10:28:33 time: 0.4000 data_time: 0.0174 memory: 17007 grad_norm: 7.6363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7246 loss: 1.7246 2022/07/28 09:53:38 - mmengine - INFO - Epoch(train) [97][3060/3757] lr: 4.4774e-03 eta: 1 day, 10:28:25 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 7.7981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8797 loss: 1.8797 2022/07/28 09:53:46 - mmengine - INFO - Epoch(train) [97][3080/3757] lr: 4.4774e-03 eta: 1 day, 10:28:17 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 7.5276 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0051 loss: 2.0051 2022/07/28 09:53:54 - mmengine - INFO - Epoch(train) [97][3100/3757] lr: 4.4774e-03 eta: 1 day, 10:28:09 time: 0.4019 data_time: 0.0159 memory: 17007 grad_norm: 7.9206 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7898 loss: 1.7898 2022/07/28 09:54:02 - mmengine - INFO - Epoch(train) [97][3120/3757] lr: 4.4774e-03 eta: 1 day, 10:28:01 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 7.4794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6812 loss: 1.6812 2022/07/28 09:54:10 - mmengine - INFO - Epoch(train) [97][3140/3757] lr: 4.4774e-03 eta: 1 day, 10:27:53 time: 0.3958 data_time: 0.0156 memory: 17007 grad_norm: 7.6584 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7625 loss: 1.7625 2022/07/28 09:54:18 - mmengine - INFO - Epoch(train) [97][3160/3757] lr: 4.4774e-03 eta: 1 day, 10:27:45 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 7.7768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1485 loss: 2.1485 2022/07/28 09:54:26 - mmengine - INFO - Epoch(train) [97][3180/3757] lr: 4.4774e-03 eta: 1 day, 10:27:37 time: 0.4003 data_time: 0.0140 memory: 17007 grad_norm: 7.9055 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9379 loss: 1.9379 2022/07/28 09:54:34 - mmengine - INFO - Epoch(train) [97][3200/3757] lr: 4.4774e-03 eta: 1 day, 10:27:30 time: 0.3988 data_time: 0.0166 memory: 17007 grad_norm: 7.8133 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0670 loss: 2.0670 2022/07/28 09:54:42 - mmengine - INFO - Epoch(train) [97][3220/3757] lr: 4.4774e-03 eta: 1 day, 10:27:22 time: 0.3973 data_time: 0.0159 memory: 17007 grad_norm: 7.7632 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2040 loss: 2.2040 2022/07/28 09:54:50 - mmengine - INFO - Epoch(train) [97][3240/3757] lr: 4.4774e-03 eta: 1 day, 10:27:14 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 7.9720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0505 loss: 2.0505 2022/07/28 09:54:58 - mmengine - INFO - Epoch(train) [97][3260/3757] lr: 4.4774e-03 eta: 1 day, 10:27:06 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 7.6950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8612 loss: 1.8612 2022/07/28 09:55:06 - mmengine - INFO - Epoch(train) [97][3280/3757] lr: 4.4774e-03 eta: 1 day, 10:26:58 time: 0.4032 data_time: 0.0168 memory: 17007 grad_norm: 7.5533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9932 loss: 1.9932 2022/07/28 09:55:14 - mmengine - INFO - Epoch(train) [97][3300/3757] lr: 4.4774e-03 eta: 1 day, 10:26:50 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 7.5310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4212 loss: 2.4212 2022/07/28 09:55:22 - mmengine - INFO - Epoch(train) [97][3320/3757] lr: 4.4774e-03 eta: 1 day, 10:26:42 time: 0.4000 data_time: 0.0161 memory: 17007 grad_norm: 7.8964 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1040 loss: 2.1040 2022/07/28 09:55:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:55:30 - mmengine - INFO - Epoch(train) [97][3340/3757] lr: 4.4774e-03 eta: 1 day, 10:26:34 time: 0.3955 data_time: 0.0144 memory: 17007 grad_norm: 7.6312 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8311 loss: 1.8311 2022/07/28 09:55:37 - mmengine - INFO - Epoch(train) [97][3360/3757] lr: 4.4774e-03 eta: 1 day, 10:26:26 time: 0.3941 data_time: 0.0165 memory: 17007 grad_norm: 7.9826 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1051 loss: 2.1051 2022/07/28 09:55:45 - mmengine - INFO - Epoch(train) [97][3380/3757] lr: 4.4774e-03 eta: 1 day, 10:26:18 time: 0.4042 data_time: 0.0153 memory: 17007 grad_norm: 7.9392 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9147 loss: 1.9147 2022/07/28 09:55:53 - mmengine - INFO - Epoch(train) [97][3400/3757] lr: 4.4774e-03 eta: 1 day, 10:26:10 time: 0.3966 data_time: 0.0150 memory: 17007 grad_norm: 7.7735 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1271 loss: 2.1271 2022/07/28 09:56:02 - mmengine - INFO - Epoch(train) [97][3420/3757] lr: 4.4774e-03 eta: 1 day, 10:26:02 time: 0.4062 data_time: 0.0154 memory: 17007 grad_norm: 7.5110 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0512 loss: 2.0512 2022/07/28 09:56:10 - mmengine - INFO - Epoch(train) [97][3440/3757] lr: 4.4774e-03 eta: 1 day, 10:25:54 time: 0.3955 data_time: 0.0154 memory: 17007 grad_norm: 7.5918 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8251 loss: 1.8251 2022/07/28 09:56:17 - mmengine - INFO - Epoch(train) [97][3460/3757] lr: 4.4774e-03 eta: 1 day, 10:25:46 time: 0.3942 data_time: 0.0161 memory: 17007 grad_norm: 7.3627 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9829 loss: 1.9829 2022/07/28 09:56:25 - mmengine - INFO - Epoch(train) [97][3480/3757] lr: 4.4774e-03 eta: 1 day, 10:25:39 time: 0.4037 data_time: 0.0169 memory: 17007 grad_norm: 7.2330 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7318 loss: 1.7318 2022/07/28 09:56:33 - mmengine - INFO - Epoch(train) [97][3500/3757] lr: 4.4774e-03 eta: 1 day, 10:25:31 time: 0.3924 data_time: 0.0139 memory: 17007 grad_norm: 7.6593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9321 loss: 1.9321 2022/07/28 09:56:41 - mmengine - INFO - Epoch(train) [97][3520/3757] lr: 4.4774e-03 eta: 1 day, 10:25:23 time: 0.4041 data_time: 0.0158 memory: 17007 grad_norm: 7.6349 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8828 loss: 1.8828 2022/07/28 09:56:49 - mmengine - INFO - Epoch(train) [97][3540/3757] lr: 4.4774e-03 eta: 1 day, 10:25:15 time: 0.3935 data_time: 0.0136 memory: 17007 grad_norm: 7.5731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0174 loss: 2.0174 2022/07/28 09:56:57 - mmengine - INFO - Epoch(train) [97][3560/3757] lr: 4.4774e-03 eta: 1 day, 10:25:07 time: 0.3953 data_time: 0.0167 memory: 17007 grad_norm: 7.5754 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7711 loss: 1.7711 2022/07/28 09:57:05 - mmengine - INFO - Epoch(train) [97][3580/3757] lr: 4.4774e-03 eta: 1 day, 10:24:59 time: 0.3971 data_time: 0.0143 memory: 17007 grad_norm: 7.9314 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9728 loss: 1.9728 2022/07/28 09:57:13 - mmengine - INFO - Epoch(train) [97][3600/3757] lr: 4.4774e-03 eta: 1 day, 10:24:51 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 7.7254 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9516 loss: 1.9516 2022/07/28 09:57:21 - mmengine - INFO - Epoch(train) [97][3620/3757] lr: 4.4774e-03 eta: 1 day, 10:24:43 time: 0.3972 data_time: 0.0159 memory: 17007 grad_norm: 7.2770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8246 loss: 1.8246 2022/07/28 09:57:29 - mmengine - INFO - Epoch(train) [97][3640/3757] lr: 4.4774e-03 eta: 1 day, 10:24:35 time: 0.3938 data_time: 0.0148 memory: 17007 grad_norm: 7.7123 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8757 loss: 1.8757 2022/07/28 09:57:37 - mmengine - INFO - Epoch(train) [97][3660/3757] lr: 4.4774e-03 eta: 1 day, 10:24:27 time: 0.3949 data_time: 0.0151 memory: 17007 grad_norm: 7.5276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8585 loss: 1.8585 2022/07/28 09:57:45 - mmengine - INFO - Epoch(train) [97][3680/3757] lr: 4.4774e-03 eta: 1 day, 10:24:19 time: 0.3960 data_time: 0.0155 memory: 17007 grad_norm: 7.1905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7614 loss: 1.7614 2022/07/28 09:57:53 - mmengine - INFO - Epoch(train) [97][3700/3757] lr: 4.4774e-03 eta: 1 day, 10:24:11 time: 0.3934 data_time: 0.0137 memory: 17007 grad_norm: 7.7771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0394 loss: 2.0394 2022/07/28 09:58:01 - mmengine - INFO - Epoch(train) [97][3720/3757] lr: 4.4774e-03 eta: 1 day, 10:24:03 time: 0.4000 data_time: 0.0164 memory: 17007 grad_norm: 7.7859 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8179 loss: 1.8179 2022/07/28 09:58:09 - mmengine - INFO - Epoch(train) [97][3740/3757] lr: 4.4774e-03 eta: 1 day, 10:23:55 time: 0.3940 data_time: 0.0142 memory: 17007 grad_norm: 7.6800 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8169 loss: 1.8169 2022/07/28 09:58:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 09:58:15 - mmengine - INFO - Epoch(train) [97][3757/3757] lr: 4.4774e-03 eta: 1 day, 10:23:55 time: 0.3911 data_time: 0.0149 memory: 17007 grad_norm: 7.7996 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.9109 loss: 1.9109 2022/07/28 09:58:15 - mmengine - INFO - Saving checkpoint at 97 epochs 2022/07/28 09:58:26 - mmengine - INFO - Epoch(train) [98][20/3757] lr: 4.3907e-03 eta: 1 day, 10:23:36 time: 0.4482 data_time: 0.0668 memory: 17007 grad_norm: 7.8339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8669 loss: 1.8669 2022/07/28 09:58:34 - mmengine - INFO - Epoch(train) [98][40/3757] lr: 4.3907e-03 eta: 1 day, 10:23:28 time: 0.3950 data_time: 0.0152 memory: 17007 grad_norm: 7.6326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8597 loss: 1.8597 2022/07/28 09:58:42 - mmengine - INFO - Epoch(train) [98][60/3757] lr: 4.3907e-03 eta: 1 day, 10:23:20 time: 0.3972 data_time: 0.0162 memory: 17007 grad_norm: 7.5077 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6689 loss: 1.6689 2022/07/28 09:58:50 - mmengine - INFO - Epoch(train) [98][80/3757] lr: 4.3907e-03 eta: 1 day, 10:23:12 time: 0.3949 data_time: 0.0154 memory: 17007 grad_norm: 7.9418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9230 loss: 1.9230 2022/07/28 09:58:58 - mmengine - INFO - Epoch(train) [98][100/3757] lr: 4.3907e-03 eta: 1 day, 10:23:04 time: 0.3937 data_time: 0.0149 memory: 17007 grad_norm: 7.8205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7860 loss: 1.7860 2022/07/28 09:59:06 - mmengine - INFO - Epoch(train) [98][120/3757] lr: 4.3907e-03 eta: 1 day, 10:22:56 time: 0.3946 data_time: 0.0162 memory: 17007 grad_norm: 7.6426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9725 loss: 1.9725 2022/07/28 09:59:14 - mmengine - INFO - Epoch(train) [98][140/3757] lr: 4.3907e-03 eta: 1 day, 10:22:48 time: 0.4007 data_time: 0.0151 memory: 17007 grad_norm: 7.9584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9507 loss: 1.9507 2022/07/28 09:59:22 - mmengine - INFO - Epoch(train) [98][160/3757] lr: 4.3907e-03 eta: 1 day, 10:22:40 time: 0.3976 data_time: 0.0170 memory: 17007 grad_norm: 7.5087 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7576 loss: 1.7576 2022/07/28 09:59:30 - mmengine - INFO - Epoch(train) [98][180/3757] lr: 4.3907e-03 eta: 1 day, 10:22:32 time: 0.3937 data_time: 0.0142 memory: 17007 grad_norm: 7.7917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6900 loss: 1.6900 2022/07/28 09:59:38 - mmengine - INFO - Epoch(train) [98][200/3757] lr: 4.3907e-03 eta: 1 day, 10:22:24 time: 0.3965 data_time: 0.0157 memory: 17007 grad_norm: 7.6059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3430 loss: 2.3430 2022/07/28 09:59:45 - mmengine - INFO - Epoch(train) [98][220/3757] lr: 4.3907e-03 eta: 1 day, 10:22:16 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.3548 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1185 loss: 2.1185 2022/07/28 09:59:53 - mmengine - INFO - Epoch(train) [98][240/3757] lr: 4.3907e-03 eta: 1 day, 10:22:08 time: 0.3967 data_time: 0.0156 memory: 17007 grad_norm: 7.4421 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9326 loss: 1.9326 2022/07/28 10:00:01 - mmengine - INFO - Epoch(train) [98][260/3757] lr: 4.3907e-03 eta: 1 day, 10:22:00 time: 0.3975 data_time: 0.0161 memory: 17007 grad_norm: 7.7503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9551 loss: 1.9551 2022/07/28 10:00:09 - mmengine - INFO - Epoch(train) [98][280/3757] lr: 4.3907e-03 eta: 1 day, 10:21:52 time: 0.3936 data_time: 0.0151 memory: 17007 grad_norm: 7.5050 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8650 loss: 1.8650 2022/07/28 10:00:17 - mmengine - INFO - Epoch(train) [98][300/3757] lr: 4.3907e-03 eta: 1 day, 10:21:44 time: 0.3952 data_time: 0.0150 memory: 17007 grad_norm: 7.8955 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8676 loss: 1.8676 2022/07/28 10:00:25 - mmengine - INFO - Epoch(train) [98][320/3757] lr: 4.3907e-03 eta: 1 day, 10:21:36 time: 0.4021 data_time: 0.0164 memory: 17007 grad_norm: 7.5334 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1394 loss: 2.1394 2022/07/28 10:00:33 - mmengine - INFO - Epoch(train) [98][340/3757] lr: 4.3907e-03 eta: 1 day, 10:21:28 time: 0.4002 data_time: 0.0146 memory: 17007 grad_norm: 7.7743 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8081 loss: 1.8081 2022/07/28 10:00:41 - mmengine - INFO - Epoch(train) [98][360/3757] lr: 4.3907e-03 eta: 1 day, 10:21:20 time: 0.3964 data_time: 0.0167 memory: 17007 grad_norm: 7.8156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9624 loss: 1.9624 2022/07/28 10:00:49 - mmengine - INFO - Epoch(train) [98][380/3757] lr: 4.3907e-03 eta: 1 day, 10:21:12 time: 0.3943 data_time: 0.0147 memory: 17007 grad_norm: 7.8503 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5583 loss: 1.5583 2022/07/28 10:00:57 - mmengine - INFO - Epoch(train) [98][400/3757] lr: 4.3907e-03 eta: 1 day, 10:21:04 time: 0.3965 data_time: 0.0153 memory: 17007 grad_norm: 7.8479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9728 loss: 1.9728 2022/07/28 10:01:05 - mmengine - INFO - Epoch(train) [98][420/3757] lr: 4.3907e-03 eta: 1 day, 10:20:56 time: 0.3986 data_time: 0.0159 memory: 17007 grad_norm: 7.7794 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0354 loss: 2.0354 2022/07/28 10:01:13 - mmengine - INFO - Epoch(train) [98][440/3757] lr: 4.3907e-03 eta: 1 day, 10:20:49 time: 0.3973 data_time: 0.0161 memory: 17007 grad_norm: 7.4449 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2207 loss: 2.2207 2022/07/28 10:01:21 - mmengine - INFO - Epoch(train) [98][460/3757] lr: 4.3907e-03 eta: 1 day, 10:20:41 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 7.5111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8138 loss: 1.8138 2022/07/28 10:01:29 - mmengine - INFO - Epoch(train) [98][480/3757] lr: 4.3907e-03 eta: 1 day, 10:20:33 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 7.5316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3004 loss: 2.3004 2022/07/28 10:01:37 - mmengine - INFO - Epoch(train) [98][500/3757] lr: 4.3907e-03 eta: 1 day, 10:20:25 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 7.5199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6834 loss: 1.6834 2022/07/28 10:01:45 - mmengine - INFO - Epoch(train) [98][520/3757] lr: 4.3907e-03 eta: 1 day, 10:20:17 time: 0.3930 data_time: 0.0157 memory: 17007 grad_norm: 7.6946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9806 loss: 1.9806 2022/07/28 10:01:53 - mmengine - INFO - Epoch(train) [98][540/3757] lr: 4.3907e-03 eta: 1 day, 10:20:09 time: 0.3962 data_time: 0.0161 memory: 17007 grad_norm: 7.3925 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4432 loss: 1.4432 2022/07/28 10:02:01 - mmengine - INFO - Epoch(train) [98][560/3757] lr: 4.3907e-03 eta: 1 day, 10:20:01 time: 0.4312 data_time: 0.0158 memory: 17007 grad_norm: 7.8768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7245 loss: 1.7245 2022/07/28 10:02:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:02:09 - mmengine - INFO - Epoch(train) [98][580/3757] lr: 4.3907e-03 eta: 1 day, 10:19:53 time: 0.3911 data_time: 0.0141 memory: 17007 grad_norm: 7.6849 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7372 loss: 1.7372 2022/07/28 10:02:17 - mmengine - INFO - Epoch(train) [98][600/3757] lr: 4.3907e-03 eta: 1 day, 10:19:45 time: 0.3978 data_time: 0.0152 memory: 17007 grad_norm: 7.7011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8685 loss: 1.8685 2022/07/28 10:02:25 - mmengine - INFO - Epoch(train) [98][620/3757] lr: 4.3907e-03 eta: 1 day, 10:19:37 time: 0.3945 data_time: 0.0154 memory: 17007 grad_norm: 7.8325 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9612 loss: 1.9612 2022/07/28 10:02:33 - mmengine - INFO - Epoch(train) [98][640/3757] lr: 4.3907e-03 eta: 1 day, 10:19:29 time: 0.3973 data_time: 0.0163 memory: 17007 grad_norm: 7.5402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7136 loss: 1.7136 2022/07/28 10:02:41 - mmengine - INFO - Epoch(train) [98][660/3757] lr: 4.3907e-03 eta: 1 day, 10:19:21 time: 0.3954 data_time: 0.0149 memory: 17007 grad_norm: 7.6368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8183 loss: 1.8183 2022/07/28 10:02:49 - mmengine - INFO - Epoch(train) [98][680/3757] lr: 4.3907e-03 eta: 1 day, 10:19:13 time: 0.3956 data_time: 0.0154 memory: 17007 grad_norm: 7.6603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0705 loss: 2.0705 2022/07/28 10:02:57 - mmengine - INFO - Epoch(train) [98][700/3757] lr: 4.3907e-03 eta: 1 day, 10:19:05 time: 0.3969 data_time: 0.0152 memory: 17007 grad_norm: 7.7436 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7998 loss: 1.7998 2022/07/28 10:03:05 - mmengine - INFO - Epoch(train) [98][720/3757] lr: 4.3907e-03 eta: 1 day, 10:18:58 time: 0.3949 data_time: 0.0152 memory: 17007 grad_norm: 7.6045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9142 loss: 1.9142 2022/07/28 10:03:12 - mmengine - INFO - Epoch(train) [98][740/3757] lr: 4.3907e-03 eta: 1 day, 10:18:50 time: 0.3973 data_time: 0.0165 memory: 17007 grad_norm: 7.6939 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7857 loss: 1.7857 2022/07/28 10:03:20 - mmengine - INFO - Epoch(train) [98][760/3757] lr: 4.3907e-03 eta: 1 day, 10:18:42 time: 0.4003 data_time: 0.0156 memory: 17007 grad_norm: 7.5149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8340 loss: 1.8340 2022/07/28 10:03:28 - mmengine - INFO - Epoch(train) [98][780/3757] lr: 4.3907e-03 eta: 1 day, 10:18:34 time: 0.3924 data_time: 0.0146 memory: 17007 grad_norm: 7.8286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8232 loss: 1.8232 2022/07/28 10:03:36 - mmengine - INFO - Epoch(train) [98][800/3757] lr: 4.3907e-03 eta: 1 day, 10:18:26 time: 0.3972 data_time: 0.0164 memory: 17007 grad_norm: 7.4847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9751 loss: 1.9751 2022/07/28 10:03:44 - mmengine - INFO - Epoch(train) [98][820/3757] lr: 4.3907e-03 eta: 1 day, 10:18:18 time: 0.3954 data_time: 0.0149 memory: 17007 grad_norm: 7.8105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8790 loss: 1.8790 2022/07/28 10:03:52 - mmengine - INFO - Epoch(train) [98][840/3757] lr: 4.3907e-03 eta: 1 day, 10:18:10 time: 0.3983 data_time: 0.0160 memory: 17007 grad_norm: 7.6137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8430 loss: 1.8430 2022/07/28 10:04:00 - mmengine - INFO - Epoch(train) [98][860/3757] lr: 4.3907e-03 eta: 1 day, 10:18:02 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.7103 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7729 loss: 1.7729 2022/07/28 10:04:08 - mmengine - INFO - Epoch(train) [98][880/3757] lr: 4.3907e-03 eta: 1 day, 10:17:54 time: 0.3995 data_time: 0.0156 memory: 17007 grad_norm: 7.6442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0554 loss: 2.0554 2022/07/28 10:04:16 - mmengine - INFO - Epoch(train) [98][900/3757] lr: 4.3907e-03 eta: 1 day, 10:17:46 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 7.9480 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8272 loss: 1.8272 2022/07/28 10:04:24 - mmengine - INFO - Epoch(train) [98][920/3757] lr: 4.3907e-03 eta: 1 day, 10:17:38 time: 0.4020 data_time: 0.0163 memory: 17007 grad_norm: 7.4637 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0226 loss: 2.0226 2022/07/28 10:04:32 - mmengine - INFO - Epoch(train) [98][940/3757] lr: 4.3907e-03 eta: 1 day, 10:17:30 time: 0.3957 data_time: 0.0147 memory: 17007 grad_norm: 7.7080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0388 loss: 2.0388 2022/07/28 10:04:40 - mmengine - INFO - Epoch(train) [98][960/3757] lr: 4.3907e-03 eta: 1 day, 10:17:22 time: 0.3934 data_time: 0.0148 memory: 17007 grad_norm: 7.9913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7754 loss: 1.7754 2022/07/28 10:04:48 - mmengine - INFO - Epoch(train) [98][980/3757] lr: 4.3907e-03 eta: 1 day, 10:17:14 time: 0.4093 data_time: 0.0158 memory: 17007 grad_norm: 7.7539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8001 loss: 1.8001 2022/07/28 10:04:56 - mmengine - INFO - Epoch(train) [98][1000/3757] lr: 4.3907e-03 eta: 1 day, 10:17:06 time: 0.3957 data_time: 0.0150 memory: 17007 grad_norm: 7.8240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7272 loss: 1.7272 2022/07/28 10:05:04 - mmengine - INFO - Epoch(train) [98][1020/3757] lr: 4.3907e-03 eta: 1 day, 10:16:58 time: 0.3950 data_time: 0.0158 memory: 17007 grad_norm: 7.3504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0196 loss: 2.0196 2022/07/28 10:05:12 - mmengine - INFO - Epoch(train) [98][1040/3757] lr: 4.3907e-03 eta: 1 day, 10:16:51 time: 0.3984 data_time: 0.0158 memory: 17007 grad_norm: 7.4775 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9393 loss: 1.9393 2022/07/28 10:05:20 - mmengine - INFO - Epoch(train) [98][1060/3757] lr: 4.3907e-03 eta: 1 day, 10:16:43 time: 0.3934 data_time: 0.0138 memory: 17007 grad_norm: 7.7348 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6525 loss: 1.6525 2022/07/28 10:05:28 - mmengine - INFO - Epoch(train) [98][1080/3757] lr: 4.3907e-03 eta: 1 day, 10:16:35 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 7.9970 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1193 loss: 2.1193 2022/07/28 10:05:36 - mmengine - INFO - Epoch(train) [98][1100/3757] lr: 4.3907e-03 eta: 1 day, 10:16:27 time: 0.3954 data_time: 0.0152 memory: 17007 grad_norm: 7.7140 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6278 loss: 1.6278 2022/07/28 10:05:44 - mmengine - INFO - Epoch(train) [98][1120/3757] lr: 4.3907e-03 eta: 1 day, 10:16:19 time: 0.3995 data_time: 0.0161 memory: 17007 grad_norm: 7.7702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7391 loss: 1.7391 2022/07/28 10:05:52 - mmengine - INFO - Epoch(train) [98][1140/3757] lr: 4.3907e-03 eta: 1 day, 10:16:11 time: 0.3951 data_time: 0.0141 memory: 17007 grad_norm: 8.3165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8403 loss: 1.8403 2022/07/28 10:05:59 - mmengine - INFO - Epoch(train) [98][1160/3757] lr: 4.3907e-03 eta: 1 day, 10:16:03 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 7.7021 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0033 loss: 2.0033 2022/07/28 10:06:07 - mmengine - INFO - Epoch(train) [98][1180/3757] lr: 4.3907e-03 eta: 1 day, 10:15:55 time: 0.4008 data_time: 0.0150 memory: 17007 grad_norm: 7.6735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9036 loss: 1.9036 2022/07/28 10:06:15 - mmengine - INFO - Epoch(train) [98][1200/3757] lr: 4.3907e-03 eta: 1 day, 10:15:47 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 7.6596 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2936 loss: 2.2936 2022/07/28 10:06:23 - mmengine - INFO - Epoch(train) [98][1220/3757] lr: 4.3907e-03 eta: 1 day, 10:15:39 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 7.9785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8597 loss: 1.8597 2022/07/28 10:06:31 - mmengine - INFO - Epoch(train) [98][1240/3757] lr: 4.3907e-03 eta: 1 day, 10:15:31 time: 0.3962 data_time: 0.0147 memory: 17007 grad_norm: 7.5577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7354 loss: 1.7354 2022/07/28 10:06:39 - mmengine - INFO - Epoch(train) [98][1260/3757] lr: 4.3907e-03 eta: 1 day, 10:15:23 time: 0.3936 data_time: 0.0155 memory: 17007 grad_norm: 7.8861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9024 loss: 1.9024 2022/07/28 10:06:47 - mmengine - INFO - Epoch(train) [98][1280/3757] lr: 4.3907e-03 eta: 1 day, 10:15:15 time: 0.3960 data_time: 0.0162 memory: 17007 grad_norm: 7.7434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6407 loss: 1.6407 2022/07/28 10:06:55 - mmengine - INFO - Epoch(train) [98][1300/3757] lr: 4.3907e-03 eta: 1 day, 10:15:07 time: 0.3971 data_time: 0.0161 memory: 17007 grad_norm: 7.9703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9535 loss: 1.9535 2022/07/28 10:07:03 - mmengine - INFO - Epoch(train) [98][1320/3757] lr: 4.3907e-03 eta: 1 day, 10:14:59 time: 0.3979 data_time: 0.0160 memory: 17007 grad_norm: 7.9084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7392 loss: 1.7392 2022/07/28 10:07:11 - mmengine - INFO - Epoch(train) [98][1340/3757] lr: 4.3907e-03 eta: 1 day, 10:14:51 time: 0.3985 data_time: 0.0157 memory: 17007 grad_norm: 7.8864 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9148 loss: 1.9148 2022/07/28 10:07:19 - mmengine - INFO - Epoch(train) [98][1360/3757] lr: 4.3907e-03 eta: 1 day, 10:14:43 time: 0.3965 data_time: 0.0167 memory: 17007 grad_norm: 8.2207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7056 loss: 1.7056 2022/07/28 10:07:27 - mmengine - INFO - Epoch(train) [98][1380/3757] lr: 4.3907e-03 eta: 1 day, 10:14:35 time: 0.3931 data_time: 0.0140 memory: 17007 grad_norm: 7.3807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7575 loss: 1.7575 2022/07/28 10:07:35 - mmengine - INFO - Epoch(train) [98][1400/3757] lr: 4.3907e-03 eta: 1 day, 10:14:27 time: 0.3967 data_time: 0.0165 memory: 17007 grad_norm: 7.4613 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6381 loss: 1.6381 2022/07/28 10:07:43 - mmengine - INFO - Epoch(train) [98][1420/3757] lr: 4.3907e-03 eta: 1 day, 10:14:19 time: 0.3955 data_time: 0.0157 memory: 17007 grad_norm: 7.4495 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9294 loss: 1.9294 2022/07/28 10:07:51 - mmengine - INFO - Epoch(train) [98][1440/3757] lr: 4.3907e-03 eta: 1 day, 10:14:11 time: 0.4011 data_time: 0.0152 memory: 17007 grad_norm: 7.3851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6840 loss: 1.6840 2022/07/28 10:07:59 - mmengine - INFO - Epoch(train) [98][1460/3757] lr: 4.3907e-03 eta: 1 day, 10:14:03 time: 0.3944 data_time: 0.0136 memory: 17007 grad_norm: 7.7771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0849 loss: 2.0849 2022/07/28 10:08:07 - mmengine - INFO - Epoch(train) [98][1480/3757] lr: 4.3907e-03 eta: 1 day, 10:13:56 time: 0.4007 data_time: 0.0160 memory: 17007 grad_norm: 7.5481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8134 loss: 1.8134 2022/07/28 10:08:15 - mmengine - INFO - Epoch(train) [98][1500/3757] lr: 4.3907e-03 eta: 1 day, 10:13:48 time: 0.3968 data_time: 0.0158 memory: 17007 grad_norm: 7.5998 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.0771 loss: 2.0771 2022/07/28 10:08:22 - mmengine - INFO - Epoch(train) [98][1520/3757] lr: 4.3907e-03 eta: 1 day, 10:13:40 time: 0.3969 data_time: 0.0154 memory: 17007 grad_norm: 7.4621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0587 loss: 2.0587 2022/07/28 10:08:30 - mmengine - INFO - Epoch(train) [98][1540/3757] lr: 4.3907e-03 eta: 1 day, 10:13:32 time: 0.3931 data_time: 0.0145 memory: 17007 grad_norm: 7.6517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0247 loss: 2.0247 2022/07/28 10:08:38 - mmengine - INFO - Epoch(train) [98][1560/3757] lr: 4.3907e-03 eta: 1 day, 10:13:24 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 7.5245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8273 loss: 1.8273 2022/07/28 10:08:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:08:46 - mmengine - INFO - Epoch(train) [98][1580/3757] lr: 4.3907e-03 eta: 1 day, 10:13:16 time: 0.3959 data_time: 0.0150 memory: 17007 grad_norm: 7.6784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8640 loss: 1.8640 2022/07/28 10:08:54 - mmengine - INFO - Epoch(train) [98][1600/3757] lr: 4.3907e-03 eta: 1 day, 10:13:08 time: 0.3961 data_time: 0.0163 memory: 17007 grad_norm: 8.0660 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0580 loss: 2.0580 2022/07/28 10:09:02 - mmengine - INFO - Epoch(train) [98][1620/3757] lr: 4.3907e-03 eta: 1 day, 10:13:00 time: 0.3955 data_time: 0.0155 memory: 17007 grad_norm: 7.8541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6671 loss: 1.6671 2022/07/28 10:09:10 - mmengine - INFO - Epoch(train) [98][1640/3757] lr: 4.3907e-03 eta: 1 day, 10:12:52 time: 0.3937 data_time: 0.0152 memory: 17007 grad_norm: 8.0071 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9236 loss: 1.9236 2022/07/28 10:09:18 - mmengine - INFO - Epoch(train) [98][1660/3757] lr: 4.3907e-03 eta: 1 day, 10:12:44 time: 0.3966 data_time: 0.0163 memory: 17007 grad_norm: 7.4315 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8716 loss: 1.8716 2022/07/28 10:09:26 - mmengine - INFO - Epoch(train) [98][1680/3757] lr: 4.3907e-03 eta: 1 day, 10:12:36 time: 0.3954 data_time: 0.0154 memory: 17007 grad_norm: 7.4083 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7043 loss: 1.7043 2022/07/28 10:09:34 - mmengine - INFO - Epoch(train) [98][1700/3757] lr: 4.3907e-03 eta: 1 day, 10:12:28 time: 0.3979 data_time: 0.0158 memory: 17007 grad_norm: 7.7360 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8984 loss: 1.8984 2022/07/28 10:09:42 - mmengine - INFO - Epoch(train) [98][1720/3757] lr: 4.3907e-03 eta: 1 day, 10:12:20 time: 0.4036 data_time: 0.0145 memory: 17007 grad_norm: 7.3741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8241 loss: 1.8241 2022/07/28 10:09:50 - mmengine - INFO - Epoch(train) [98][1740/3757] lr: 4.3907e-03 eta: 1 day, 10:12:12 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 7.8748 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7558 loss: 1.7558 2022/07/28 10:09:58 - mmengine - INFO - Epoch(train) [98][1760/3757] lr: 4.3907e-03 eta: 1 day, 10:12:04 time: 0.3967 data_time: 0.0155 memory: 17007 grad_norm: 7.9297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9746 loss: 1.9746 2022/07/28 10:10:06 - mmengine - INFO - Epoch(train) [98][1780/3757] lr: 4.3907e-03 eta: 1 day, 10:11:56 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 8.0873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6596 loss: 1.6596 2022/07/28 10:10:14 - mmengine - INFO - Epoch(train) [98][1800/3757] lr: 4.3907e-03 eta: 1 day, 10:11:48 time: 0.4015 data_time: 0.0181 memory: 17007 grad_norm: 7.7399 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0446 loss: 2.0446 2022/07/28 10:10:22 - mmengine - INFO - Epoch(train) [98][1820/3757] lr: 4.3907e-03 eta: 1 day, 10:11:41 time: 0.4099 data_time: 0.0153 memory: 17007 grad_norm: 7.8968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9960 loss: 1.9960 2022/07/28 10:10:30 - mmengine - INFO - Epoch(train) [98][1840/3757] lr: 4.3907e-03 eta: 1 day, 10:11:33 time: 0.3951 data_time: 0.0151 memory: 17007 grad_norm: 7.3616 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7339 loss: 1.7339 2022/07/28 10:10:38 - mmengine - INFO - Epoch(train) [98][1860/3757] lr: 4.3907e-03 eta: 1 day, 10:11:25 time: 0.3974 data_time: 0.0155 memory: 17007 grad_norm: 7.6458 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5316 loss: 1.5316 2022/07/28 10:10:46 - mmengine - INFO - Epoch(train) [98][1880/3757] lr: 4.3907e-03 eta: 1 day, 10:11:17 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 7.7689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0312 loss: 2.0312 2022/07/28 10:10:54 - mmengine - INFO - Epoch(train) [98][1900/3757] lr: 4.3907e-03 eta: 1 day, 10:11:09 time: 0.4011 data_time: 0.0159 memory: 17007 grad_norm: 7.6155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7411 loss: 1.7411 2022/07/28 10:11:02 - mmengine - INFO - Epoch(train) [98][1920/3757] lr: 4.3907e-03 eta: 1 day, 10:11:01 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 7.8865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2277 loss: 2.2277 2022/07/28 10:11:10 - mmengine - INFO - Epoch(train) [98][1940/3757] lr: 4.3907e-03 eta: 1 day, 10:10:53 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 7.8174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8715 loss: 1.8715 2022/07/28 10:11:17 - mmengine - INFO - Epoch(train) [98][1960/3757] lr: 4.3907e-03 eta: 1 day, 10:10:45 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 7.7101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0054 loss: 2.0054 2022/07/28 10:11:25 - mmengine - INFO - Epoch(train) [98][1980/3757] lr: 4.3907e-03 eta: 1 day, 10:10:37 time: 0.3948 data_time: 0.0152 memory: 17007 grad_norm: 7.8669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7310 loss: 1.7310 2022/07/28 10:11:33 - mmengine - INFO - Epoch(train) [98][2000/3757] lr: 4.3907e-03 eta: 1 day, 10:10:29 time: 0.4014 data_time: 0.0166 memory: 17007 grad_norm: 7.7319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1034 loss: 2.1034 2022/07/28 10:11:41 - mmengine - INFO - Epoch(train) [98][2020/3757] lr: 4.3907e-03 eta: 1 day, 10:10:21 time: 0.3932 data_time: 0.0143 memory: 17007 grad_norm: 7.6955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8099 loss: 1.8099 2022/07/28 10:11:49 - mmengine - INFO - Epoch(train) [98][2040/3757] lr: 4.3907e-03 eta: 1 day, 10:10:13 time: 0.3932 data_time: 0.0149 memory: 17007 grad_norm: 8.1023 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8857 loss: 1.8857 2022/07/28 10:11:57 - mmengine - INFO - Epoch(train) [98][2060/3757] lr: 4.3907e-03 eta: 1 day, 10:10:05 time: 0.3953 data_time: 0.0151 memory: 17007 grad_norm: 7.7014 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6926 loss: 1.6926 2022/07/28 10:12:05 - mmengine - INFO - Epoch(train) [98][2080/3757] lr: 4.3907e-03 eta: 1 day, 10:09:57 time: 0.3938 data_time: 0.0147 memory: 17007 grad_norm: 7.7898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9902 loss: 1.9902 2022/07/28 10:12:13 - mmengine - INFO - Epoch(train) [98][2100/3757] lr: 4.3907e-03 eta: 1 day, 10:09:49 time: 0.4119 data_time: 0.0161 memory: 17007 grad_norm: 7.9652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8666 loss: 1.8666 2022/07/28 10:12:21 - mmengine - INFO - Epoch(train) [98][2120/3757] lr: 4.3907e-03 eta: 1 day, 10:09:41 time: 0.3957 data_time: 0.0148 memory: 17007 grad_norm: 8.0837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3503 loss: 2.3503 2022/07/28 10:12:29 - mmengine - INFO - Epoch(train) [98][2140/3757] lr: 4.3907e-03 eta: 1 day, 10:09:33 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 7.5137 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3465 loss: 2.3465 2022/07/28 10:12:37 - mmengine - INFO - Epoch(train) [98][2160/3757] lr: 4.3907e-03 eta: 1 day, 10:09:26 time: 0.4063 data_time: 0.0166 memory: 17007 grad_norm: 7.8236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2204 loss: 2.2204 2022/07/28 10:12:45 - mmengine - INFO - Epoch(train) [98][2180/3757] lr: 4.3907e-03 eta: 1 day, 10:09:18 time: 0.3954 data_time: 0.0147 memory: 17007 grad_norm: 7.4216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8907 loss: 1.8907 2022/07/28 10:12:53 - mmengine - INFO - Epoch(train) [98][2200/3757] lr: 4.3907e-03 eta: 1 day, 10:09:10 time: 0.3980 data_time: 0.0163 memory: 17007 grad_norm: 7.8111 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8396 loss: 1.8396 2022/07/28 10:13:01 - mmengine - INFO - Epoch(train) [98][2220/3757] lr: 4.3907e-03 eta: 1 day, 10:09:02 time: 0.3953 data_time: 0.0155 memory: 17007 grad_norm: 7.7414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8684 loss: 1.8684 2022/07/28 10:13:09 - mmengine - INFO - Epoch(train) [98][2240/3757] lr: 4.3907e-03 eta: 1 day, 10:08:54 time: 0.3954 data_time: 0.0166 memory: 17007 grad_norm: 8.0627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6129 loss: 1.6129 2022/07/28 10:13:17 - mmengine - INFO - Epoch(train) [98][2260/3757] lr: 4.3907e-03 eta: 1 day, 10:08:46 time: 0.3974 data_time: 0.0154 memory: 17007 grad_norm: 7.8004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9667 loss: 1.9667 2022/07/28 10:13:25 - mmengine - INFO - Epoch(train) [98][2280/3757] lr: 4.3907e-03 eta: 1 day, 10:08:38 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 7.8276 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8947 loss: 1.8947 2022/07/28 10:13:33 - mmengine - INFO - Epoch(train) [98][2300/3757] lr: 4.3907e-03 eta: 1 day, 10:08:30 time: 0.4020 data_time: 0.0146 memory: 17007 grad_norm: 7.6875 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0442 loss: 2.0442 2022/07/28 10:13:41 - mmengine - INFO - Epoch(train) [98][2320/3757] lr: 4.3907e-03 eta: 1 day, 10:08:22 time: 0.3940 data_time: 0.0156 memory: 17007 grad_norm: 7.6720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8673 loss: 1.8673 2022/07/28 10:13:49 - mmengine - INFO - Epoch(train) [98][2340/3757] lr: 4.3907e-03 eta: 1 day, 10:08:14 time: 0.4123 data_time: 0.0157 memory: 17007 grad_norm: 7.9485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8756 loss: 1.8756 2022/07/28 10:13:57 - mmengine - INFO - Epoch(train) [98][2360/3757] lr: 4.3907e-03 eta: 1 day, 10:08:06 time: 0.3985 data_time: 0.0168 memory: 17007 grad_norm: 7.6371 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0963 loss: 2.0963 2022/07/28 10:14:05 - mmengine - INFO - Epoch(train) [98][2380/3757] lr: 4.3907e-03 eta: 1 day, 10:07:58 time: 0.3951 data_time: 0.0167 memory: 17007 grad_norm: 7.6655 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8730 loss: 1.8730 2022/07/28 10:14:13 - mmengine - INFO - Epoch(train) [98][2400/3757] lr: 4.3907e-03 eta: 1 day, 10:07:51 time: 0.3967 data_time: 0.0154 memory: 17007 grad_norm: 7.9753 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0446 loss: 2.0446 2022/07/28 10:14:21 - mmengine - INFO - Epoch(train) [98][2420/3757] lr: 4.3907e-03 eta: 1 day, 10:07:43 time: 0.3932 data_time: 0.0148 memory: 17007 grad_norm: 7.6416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5841 loss: 1.5841 2022/07/28 10:14:29 - mmengine - INFO - Epoch(train) [98][2440/3757] lr: 4.3907e-03 eta: 1 day, 10:07:35 time: 0.3935 data_time: 0.0152 memory: 17007 grad_norm: 7.6426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9020 loss: 1.9020 2022/07/28 10:14:36 - mmengine - INFO - Epoch(train) [98][2460/3757] lr: 4.3907e-03 eta: 1 day, 10:07:27 time: 0.3955 data_time: 0.0172 memory: 17007 grad_norm: 7.8598 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9632 loss: 1.9632 2022/07/28 10:14:44 - mmengine - INFO - Epoch(train) [98][2480/3757] lr: 4.3907e-03 eta: 1 day, 10:07:19 time: 0.3953 data_time: 0.0148 memory: 17007 grad_norm: 8.1633 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8442 loss: 1.8442 2022/07/28 10:14:52 - mmengine - INFO - Epoch(train) [98][2500/3757] lr: 4.3907e-03 eta: 1 day, 10:07:11 time: 0.3946 data_time: 0.0148 memory: 17007 grad_norm: 7.8696 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8495 loss: 1.8495 2022/07/28 10:15:00 - mmengine - INFO - Epoch(train) [98][2520/3757] lr: 4.3907e-03 eta: 1 day, 10:07:03 time: 0.3946 data_time: 0.0149 memory: 17007 grad_norm: 7.8550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8979 loss: 1.8979 2022/07/28 10:15:08 - mmengine - INFO - Epoch(train) [98][2540/3757] lr: 4.3907e-03 eta: 1 day, 10:06:55 time: 0.3953 data_time: 0.0152 memory: 17007 grad_norm: 8.1134 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9111 loss: 1.9111 2022/07/28 10:15:16 - mmengine - INFO - Epoch(train) [98][2560/3757] lr: 4.3907e-03 eta: 1 day, 10:06:47 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 7.7658 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6646 loss: 1.6646 2022/07/28 10:15:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:15:24 - mmengine - INFO - Epoch(train) [98][2580/3757] lr: 4.3907e-03 eta: 1 day, 10:06:39 time: 0.3954 data_time: 0.0167 memory: 17007 grad_norm: 7.8198 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1116 loss: 2.1116 2022/07/28 10:15:32 - mmengine - INFO - Epoch(train) [98][2600/3757] lr: 4.3907e-03 eta: 1 day, 10:06:31 time: 0.3962 data_time: 0.0152 memory: 17007 grad_norm: 7.7273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8006 loss: 1.8006 2022/07/28 10:15:40 - mmengine - INFO - Epoch(train) [98][2620/3757] lr: 4.3907e-03 eta: 1 day, 10:06:23 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 7.4621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7476 loss: 1.7476 2022/07/28 10:15:48 - mmengine - INFO - Epoch(train) [98][2640/3757] lr: 4.3907e-03 eta: 1 day, 10:06:15 time: 0.3964 data_time: 0.0165 memory: 17007 grad_norm: 7.6639 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8215 loss: 1.8215 2022/07/28 10:15:56 - mmengine - INFO - Epoch(train) [98][2660/3757] lr: 4.3907e-03 eta: 1 day, 10:06:07 time: 0.4041 data_time: 0.0147 memory: 17007 grad_norm: 7.8479 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6876 loss: 1.6876 2022/07/28 10:16:04 - mmengine - INFO - Epoch(train) [98][2680/3757] lr: 4.3907e-03 eta: 1 day, 10:05:59 time: 0.3970 data_time: 0.0168 memory: 17007 grad_norm: 7.7151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9790 loss: 1.9790 2022/07/28 10:16:12 - mmengine - INFO - Epoch(train) [98][2700/3757] lr: 4.3907e-03 eta: 1 day, 10:05:51 time: 0.3988 data_time: 0.0158 memory: 17007 grad_norm: 7.9898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7691 loss: 1.7691 2022/07/28 10:16:20 - mmengine - INFO - Epoch(train) [98][2720/3757] lr: 4.3907e-03 eta: 1 day, 10:05:43 time: 0.3946 data_time: 0.0149 memory: 17007 grad_norm: 7.7822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7702 loss: 1.7702 2022/07/28 10:16:28 - mmengine - INFO - Epoch(train) [98][2740/3757] lr: 4.3907e-03 eta: 1 day, 10:05:35 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 7.7312 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9755 loss: 1.9755 2022/07/28 10:16:36 - mmengine - INFO - Epoch(train) [98][2760/3757] lr: 4.3907e-03 eta: 1 day, 10:05:27 time: 0.3990 data_time: 0.0160 memory: 17007 grad_norm: 7.7241 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9478 loss: 1.9478 2022/07/28 10:16:44 - mmengine - INFO - Epoch(train) [98][2780/3757] lr: 4.3907e-03 eta: 1 day, 10:05:19 time: 0.3968 data_time: 0.0160 memory: 17007 grad_norm: 8.0592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8324 loss: 1.8324 2022/07/28 10:16:51 - mmengine - INFO - Epoch(train) [98][2800/3757] lr: 4.3907e-03 eta: 1 day, 10:05:11 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 7.6063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2922 loss: 2.2922 2022/07/28 10:16:59 - mmengine - INFO - Epoch(train) [98][2820/3757] lr: 4.3907e-03 eta: 1 day, 10:05:03 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 7.7848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6523 loss: 1.6523 2022/07/28 10:17:08 - mmengine - INFO - Epoch(train) [98][2840/3757] lr: 4.3907e-03 eta: 1 day, 10:04:56 time: 0.4177 data_time: 0.0172 memory: 17007 grad_norm: 7.5170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6622 loss: 1.6622 2022/07/28 10:17:16 - mmengine - INFO - Epoch(train) [98][2860/3757] lr: 4.3907e-03 eta: 1 day, 10:04:48 time: 0.3942 data_time: 0.0148 memory: 17007 grad_norm: 7.6451 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9386 loss: 1.9386 2022/07/28 10:17:24 - mmengine - INFO - Epoch(train) [98][2880/3757] lr: 4.3907e-03 eta: 1 day, 10:04:40 time: 0.3986 data_time: 0.0168 memory: 17007 grad_norm: 7.7450 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8574 loss: 1.8574 2022/07/28 10:17:32 - mmengine - INFO - Epoch(train) [98][2900/3757] lr: 4.3907e-03 eta: 1 day, 10:04:32 time: 0.3947 data_time: 0.0143 memory: 17007 grad_norm: 7.6659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9391 loss: 1.9391 2022/07/28 10:17:39 - mmengine - INFO - Epoch(train) [98][2920/3757] lr: 4.3907e-03 eta: 1 day, 10:04:24 time: 0.3952 data_time: 0.0156 memory: 17007 grad_norm: 7.7472 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9503 loss: 1.9503 2022/07/28 10:17:47 - mmengine - INFO - Epoch(train) [98][2940/3757] lr: 4.3907e-03 eta: 1 day, 10:04:16 time: 0.3962 data_time: 0.0165 memory: 17007 grad_norm: 7.7095 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8131 loss: 1.8131 2022/07/28 10:17:55 - mmengine - INFO - Epoch(train) [98][2960/3757] lr: 4.3907e-03 eta: 1 day, 10:04:08 time: 0.4050 data_time: 0.0153 memory: 17007 grad_norm: 7.5269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8807 loss: 1.8807 2022/07/28 10:18:03 - mmengine - INFO - Epoch(train) [98][2980/3757] lr: 4.3907e-03 eta: 1 day, 10:04:00 time: 0.3994 data_time: 0.0152 memory: 17007 grad_norm: 8.0118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9093 loss: 1.9093 2022/07/28 10:18:11 - mmengine - INFO - Epoch(train) [98][3000/3757] lr: 4.3907e-03 eta: 1 day, 10:03:52 time: 0.3946 data_time: 0.0149 memory: 17007 grad_norm: 8.0255 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7980 loss: 1.7980 2022/07/28 10:18:19 - mmengine - INFO - Epoch(train) [98][3020/3757] lr: 4.3907e-03 eta: 1 day, 10:03:44 time: 0.4029 data_time: 0.0152 memory: 17007 grad_norm: 8.1062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8205 loss: 1.8205 2022/07/28 10:18:27 - mmengine - INFO - Epoch(train) [98][3040/3757] lr: 4.3907e-03 eta: 1 day, 10:03:36 time: 0.3990 data_time: 0.0165 memory: 17007 grad_norm: 7.5799 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7413 loss: 1.7413 2022/07/28 10:18:35 - mmengine - INFO - Epoch(train) [98][3060/3757] lr: 4.3907e-03 eta: 1 day, 10:03:29 time: 0.3961 data_time: 0.0150 memory: 17007 grad_norm: 7.9063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9943 loss: 1.9943 2022/07/28 10:18:43 - mmengine - INFO - Epoch(train) [98][3080/3757] lr: 4.3907e-03 eta: 1 day, 10:03:21 time: 0.3977 data_time: 0.0170 memory: 17007 grad_norm: 7.7744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6686 loss: 1.6686 2022/07/28 10:18:51 - mmengine - INFO - Epoch(train) [98][3100/3757] lr: 4.3907e-03 eta: 1 day, 10:03:13 time: 0.3929 data_time: 0.0148 memory: 17007 grad_norm: 7.7953 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7905 loss: 1.7905 2022/07/28 10:18:59 - mmengine - INFO - Epoch(train) [98][3120/3757] lr: 4.3907e-03 eta: 1 day, 10:03:05 time: 0.4063 data_time: 0.0153 memory: 17007 grad_norm: 7.8405 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7844 loss: 1.7844 2022/07/28 10:19:07 - mmengine - INFO - Epoch(train) [98][3140/3757] lr: 4.3907e-03 eta: 1 day, 10:02:57 time: 0.3976 data_time: 0.0160 memory: 17007 grad_norm: 7.6877 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3108 loss: 2.3108 2022/07/28 10:19:15 - mmengine - INFO - Epoch(train) [98][3160/3757] lr: 4.3907e-03 eta: 1 day, 10:02:49 time: 0.3925 data_time: 0.0145 memory: 17007 grad_norm: 7.9827 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8635 loss: 1.8635 2022/07/28 10:19:23 - mmengine - INFO - Epoch(train) [98][3180/3757] lr: 4.3907e-03 eta: 1 day, 10:02:41 time: 0.4021 data_time: 0.0156 memory: 17007 grad_norm: 7.6259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1105 loss: 2.1105 2022/07/28 10:19:31 - mmengine - INFO - Epoch(train) [98][3200/3757] lr: 4.3907e-03 eta: 1 day, 10:02:33 time: 0.3954 data_time: 0.0151 memory: 17007 grad_norm: 7.8148 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9403 loss: 1.9403 2022/07/28 10:19:39 - mmengine - INFO - Epoch(train) [98][3220/3757] lr: 4.3907e-03 eta: 1 day, 10:02:25 time: 0.3938 data_time: 0.0138 memory: 17007 grad_norm: 7.8356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0018 loss: 2.0018 2022/07/28 10:19:47 - mmengine - INFO - Epoch(train) [98][3240/3757] lr: 4.3907e-03 eta: 1 day, 10:02:17 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 7.8018 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8528 loss: 1.8528 2022/07/28 10:19:55 - mmengine - INFO - Epoch(train) [98][3260/3757] lr: 4.3907e-03 eta: 1 day, 10:02:09 time: 0.3948 data_time: 0.0149 memory: 17007 grad_norm: 7.9565 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1740 loss: 2.1740 2022/07/28 10:20:03 - mmengine - INFO - Epoch(train) [98][3280/3757] lr: 4.3907e-03 eta: 1 day, 10:02:01 time: 0.4158 data_time: 0.0171 memory: 17007 grad_norm: 7.7738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6646 loss: 1.6646 2022/07/28 10:20:11 - mmengine - INFO - Epoch(train) [98][3300/3757] lr: 4.3907e-03 eta: 1 day, 10:01:53 time: 0.3939 data_time: 0.0149 memory: 17007 grad_norm: 7.7092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0407 loss: 2.0407 2022/07/28 10:20:19 - mmengine - INFO - Epoch(train) [98][3320/3757] lr: 4.3907e-03 eta: 1 day, 10:01:45 time: 0.3956 data_time: 0.0151 memory: 17007 grad_norm: 7.7092 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8877 loss: 1.8877 2022/07/28 10:20:27 - mmengine - INFO - Epoch(train) [98][3340/3757] lr: 4.3907e-03 eta: 1 day, 10:01:38 time: 0.4008 data_time: 0.0159 memory: 17007 grad_norm: 7.3717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8433 loss: 1.8433 2022/07/28 10:20:35 - mmengine - INFO - Epoch(train) [98][3360/3757] lr: 4.3907e-03 eta: 1 day, 10:01:30 time: 0.3965 data_time: 0.0153 memory: 17007 grad_norm: 7.6830 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9318 loss: 1.9318 2022/07/28 10:20:43 - mmengine - INFO - Epoch(train) [98][3380/3757] lr: 4.3907e-03 eta: 1 day, 10:01:22 time: 0.3994 data_time: 0.0157 memory: 17007 grad_norm: 7.8274 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2639 loss: 2.2639 2022/07/28 10:20:51 - mmengine - INFO - Epoch(train) [98][3400/3757] lr: 4.3907e-03 eta: 1 day, 10:01:14 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 7.4685 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6742 loss: 1.6742 2022/07/28 10:20:59 - mmengine - INFO - Epoch(train) [98][3420/3757] lr: 4.3907e-03 eta: 1 day, 10:01:06 time: 0.3957 data_time: 0.0151 memory: 17007 grad_norm: 7.7093 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9360 loss: 1.9360 2022/07/28 10:21:07 - mmengine - INFO - Epoch(train) [98][3440/3757] lr: 4.3907e-03 eta: 1 day, 10:00:58 time: 0.4004 data_time: 0.0161 memory: 17007 grad_norm: 7.1400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6378 loss: 1.6378 2022/07/28 10:21:15 - mmengine - INFO - Epoch(train) [98][3460/3757] lr: 4.3907e-03 eta: 1 day, 10:00:50 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 7.7305 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9729 loss: 1.9729 2022/07/28 10:21:23 - mmengine - INFO - Epoch(train) [98][3480/3757] lr: 4.3907e-03 eta: 1 day, 10:00:42 time: 0.4015 data_time: 0.0154 memory: 17007 grad_norm: 7.7895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8742 loss: 1.8742 2022/07/28 10:21:31 - mmengine - INFO - Epoch(train) [98][3500/3757] lr: 4.3907e-03 eta: 1 day, 10:00:34 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 7.6128 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0732 loss: 2.0732 2022/07/28 10:21:39 - mmengine - INFO - Epoch(train) [98][3520/3757] lr: 4.3907e-03 eta: 1 day, 10:00:26 time: 0.4085 data_time: 0.0152 memory: 17007 grad_norm: 7.8882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7747 loss: 1.7747 2022/07/28 10:21:47 - mmengine - INFO - Epoch(train) [98][3540/3757] lr: 4.3907e-03 eta: 1 day, 10:00:18 time: 0.3977 data_time: 0.0164 memory: 17007 grad_norm: 8.1262 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9275 loss: 1.9275 2022/07/28 10:21:55 - mmengine - INFO - Epoch(train) [98][3560/3757] lr: 4.3907e-03 eta: 1 day, 10:00:10 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 7.9535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8843 loss: 1.8843 2022/07/28 10:21:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:22:03 - mmengine - INFO - Epoch(train) [98][3580/3757] lr: 4.3907e-03 eta: 1 day, 10:00:02 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 7.8632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8667 loss: 1.8667 2022/07/28 10:22:11 - mmengine - INFO - Epoch(train) [98][3600/3757] lr: 4.3907e-03 eta: 1 day, 9:59:54 time: 0.3940 data_time: 0.0148 memory: 17007 grad_norm: 7.8321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1494 loss: 2.1494 2022/07/28 10:22:19 - mmengine - INFO - Epoch(train) [98][3620/3757] lr: 4.3907e-03 eta: 1 day, 9:59:47 time: 0.3991 data_time: 0.0152 memory: 17007 grad_norm: 7.8368 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9556 loss: 1.9556 2022/07/28 10:22:26 - mmengine - INFO - Epoch(train) [98][3640/3757] lr: 4.3907e-03 eta: 1 day, 9:59:39 time: 0.3975 data_time: 0.0170 memory: 17007 grad_norm: 7.7127 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8451 loss: 1.8451 2022/07/28 10:22:35 - mmengine - INFO - Epoch(train) [98][3660/3757] lr: 4.3907e-03 eta: 1 day, 9:59:31 time: 0.4072 data_time: 0.0142 memory: 17007 grad_norm: 7.9322 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0296 loss: 2.0296 2022/07/28 10:22:43 - mmengine - INFO - Epoch(train) [98][3680/3757] lr: 4.3907e-03 eta: 1 day, 9:59:23 time: 0.4049 data_time: 0.0164 memory: 17007 grad_norm: 8.1112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7531 loss: 1.7531 2022/07/28 10:22:51 - mmengine - INFO - Epoch(train) [98][3700/3757] lr: 4.3907e-03 eta: 1 day, 9:59:15 time: 0.3942 data_time: 0.0150 memory: 17007 grad_norm: 7.3202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7196 loss: 1.7196 2022/07/28 10:22:59 - mmengine - INFO - Epoch(train) [98][3720/3757] lr: 4.3907e-03 eta: 1 day, 9:59:07 time: 0.4016 data_time: 0.0148 memory: 17007 grad_norm: 7.7796 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9646 loss: 1.9646 2022/07/28 10:23:07 - mmengine - INFO - Epoch(train) [98][3740/3757] lr: 4.3907e-03 eta: 1 day, 9:58:59 time: 0.4015 data_time: 0.0164 memory: 17007 grad_norm: 7.8907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7611 loss: 1.7611 2022/07/28 10:23:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:23:13 - mmengine - INFO - Epoch(train) [98][3757/3757] lr: 4.3907e-03 eta: 1 day, 9:58:59 time: 0.3901 data_time: 0.0145 memory: 17007 grad_norm: 8.1715 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1160 loss: 2.1160 2022/07/28 10:23:13 - mmengine - INFO - Saving checkpoint at 98 epochs 2022/07/28 10:23:24 - mmengine - INFO - Epoch(train) [99][20/3757] lr: 4.3041e-03 eta: 1 day, 9:58:40 time: 0.4486 data_time: 0.0657 memory: 17007 grad_norm: 7.5933 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9138 loss: 1.9138 2022/07/28 10:23:32 - mmengine - INFO - Epoch(train) [99][40/3757] lr: 4.3041e-03 eta: 1 day, 9:58:32 time: 0.3978 data_time: 0.0176 memory: 17007 grad_norm: 7.7354 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9202 loss: 1.9202 2022/07/28 10:23:40 - mmengine - INFO - Epoch(train) [99][60/3757] lr: 4.3041e-03 eta: 1 day, 9:58:24 time: 0.3950 data_time: 0.0144 memory: 17007 grad_norm: 7.7331 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8708 loss: 1.8708 2022/07/28 10:23:48 - mmengine - INFO - Epoch(train) [99][80/3757] lr: 4.3041e-03 eta: 1 day, 9:58:16 time: 0.3962 data_time: 0.0157 memory: 17007 grad_norm: 7.6850 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6936 loss: 1.6936 2022/07/28 10:23:56 - mmengine - INFO - Epoch(train) [99][100/3757] lr: 4.3041e-03 eta: 1 day, 9:58:08 time: 0.3959 data_time: 0.0154 memory: 17007 grad_norm: 7.6963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9740 loss: 1.9740 2022/07/28 10:24:04 - mmengine - INFO - Epoch(train) [99][120/3757] lr: 4.3041e-03 eta: 1 day, 9:58:00 time: 0.3946 data_time: 0.0160 memory: 17007 grad_norm: 7.4560 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8301 loss: 1.8301 2022/07/28 10:24:16 - mmengine - INFO - Epoch(train) [99][140/3757] lr: 4.3041e-03 eta: 1 day, 9:57:55 time: 0.5923 data_time: 0.0172 memory: 17007 grad_norm: 7.5133 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8537 loss: 1.8537 2022/07/28 10:24:24 - mmengine - INFO - Epoch(train) [99][160/3757] lr: 4.3041e-03 eta: 1 day, 9:57:47 time: 0.3942 data_time: 0.0168 memory: 17007 grad_norm: 7.8792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7538 loss: 1.7538 2022/07/28 10:24:36 - mmengine - INFO - Epoch(train) [99][180/3757] lr: 4.3041e-03 eta: 1 day, 9:57:43 time: 0.5894 data_time: 0.0148 memory: 17007 grad_norm: 7.9089 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0128 loss: 2.0128 2022/07/28 10:24:48 - mmengine - INFO - Epoch(train) [99][200/3757] lr: 4.3041e-03 eta: 1 day, 9:57:39 time: 0.6398 data_time: 0.0157 memory: 17007 grad_norm: 7.5939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6765 loss: 1.6765 2022/07/28 10:24:59 - mmengine - INFO - Epoch(train) [99][220/3757] lr: 4.3041e-03 eta: 1 day, 9:57:33 time: 0.5309 data_time: 0.0160 memory: 17007 grad_norm: 7.5555 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8189 loss: 1.8189 2022/07/28 10:25:08 - mmengine - INFO - Epoch(train) [99][240/3757] lr: 4.3041e-03 eta: 1 day, 9:57:26 time: 0.4408 data_time: 0.0155 memory: 17007 grad_norm: 7.6713 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7350 loss: 1.7350 2022/07/28 10:25:20 - mmengine - INFO - Epoch(train) [99][260/3757] lr: 4.3041e-03 eta: 1 day, 9:57:21 time: 0.5875 data_time: 0.0162 memory: 17007 grad_norm: 7.5287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2115 loss: 2.2115 2022/07/28 10:25:30 - mmengine - INFO - Epoch(train) [99][280/3757] lr: 4.3041e-03 eta: 1 day, 9:57:15 time: 0.4937 data_time: 0.0172 memory: 17007 grad_norm: 8.2246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0373 loss: 2.0373 2022/07/28 10:25:40 - mmengine - INFO - Epoch(train) [99][300/3757] lr: 4.3041e-03 eta: 1 day, 9:57:09 time: 0.5316 data_time: 0.0143 memory: 17007 grad_norm: 7.4124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8306 loss: 1.8306 2022/07/28 10:25:48 - mmengine - INFO - Epoch(train) [99][320/3757] lr: 4.3041e-03 eta: 1 day, 9:57:01 time: 0.3987 data_time: 0.0177 memory: 17007 grad_norm: 7.6186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6061 loss: 1.6061 2022/07/28 10:25:56 - mmengine - INFO - Epoch(train) [99][340/3757] lr: 4.3041e-03 eta: 1 day, 9:56:53 time: 0.3972 data_time: 0.0135 memory: 17007 grad_norm: 7.8376 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9724 loss: 1.9724 2022/07/28 10:26:04 - mmengine - INFO - Epoch(train) [99][360/3757] lr: 4.3041e-03 eta: 1 day, 9:56:45 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 8.1022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7252 loss: 1.7252 2022/07/28 10:26:12 - mmengine - INFO - Epoch(train) [99][380/3757] lr: 4.3041e-03 eta: 1 day, 9:56:37 time: 0.3925 data_time: 0.0133 memory: 17007 grad_norm: 7.7457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8459 loss: 1.8459 2022/07/28 10:26:20 - mmengine - INFO - Epoch(train) [99][400/3757] lr: 4.3041e-03 eta: 1 day, 9:56:29 time: 0.3983 data_time: 0.0158 memory: 17007 grad_norm: 7.7539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8950 loss: 1.8950 2022/07/28 10:26:28 - mmengine - INFO - Epoch(train) [99][420/3757] lr: 4.3041e-03 eta: 1 day, 9:56:21 time: 0.3953 data_time: 0.0146 memory: 17007 grad_norm: 7.6569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7280 loss: 1.7280 2022/07/28 10:26:36 - mmengine - INFO - Epoch(train) [99][440/3757] lr: 4.3041e-03 eta: 1 day, 9:56:13 time: 0.4056 data_time: 0.0152 memory: 17007 grad_norm: 7.7381 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7234 loss: 1.7234 2022/07/28 10:26:44 - mmengine - INFO - Epoch(train) [99][460/3757] lr: 4.3041e-03 eta: 1 day, 9:56:05 time: 0.3939 data_time: 0.0145 memory: 17007 grad_norm: 7.7539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5453 loss: 1.5453 2022/07/28 10:26:52 - mmengine - INFO - Epoch(train) [99][480/3757] lr: 4.3041e-03 eta: 1 day, 9:55:57 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 7.8479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0549 loss: 2.0549 2022/07/28 10:27:00 - mmengine - INFO - Epoch(train) [99][500/3757] lr: 4.3041e-03 eta: 1 day, 9:55:50 time: 0.4062 data_time: 0.0138 memory: 17007 grad_norm: 8.1843 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6017 loss: 1.6017 2022/07/28 10:27:08 - mmengine - INFO - Epoch(train) [99][520/3757] lr: 4.3041e-03 eta: 1 day, 9:55:42 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 7.4847 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9774 loss: 1.9774 2022/07/28 10:27:16 - mmengine - INFO - Epoch(train) [99][540/3757] lr: 4.3041e-03 eta: 1 day, 9:55:34 time: 0.4034 data_time: 0.0144 memory: 17007 grad_norm: 7.3988 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8066 loss: 1.8066 2022/07/28 10:27:24 - mmengine - INFO - Epoch(train) [99][560/3757] lr: 4.3041e-03 eta: 1 day, 9:55:26 time: 0.4180 data_time: 0.0163 memory: 17007 grad_norm: 7.6434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0162 loss: 2.0162 2022/07/28 10:27:32 - mmengine - INFO - Epoch(train) [99][580/3757] lr: 4.3041e-03 eta: 1 day, 9:55:18 time: 0.3936 data_time: 0.0137 memory: 17007 grad_norm: 7.6258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7248 loss: 1.7248 2022/07/28 10:27:40 - mmengine - INFO - Epoch(train) [99][600/3757] lr: 4.3041e-03 eta: 1 day, 9:55:10 time: 0.4017 data_time: 0.0191 memory: 17007 grad_norm: 7.6363 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5144 loss: 1.5144 2022/07/28 10:27:48 - mmengine - INFO - Epoch(train) [99][620/3757] lr: 4.3041e-03 eta: 1 day, 9:55:02 time: 0.3971 data_time: 0.0145 memory: 17007 grad_norm: 7.9126 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1189 loss: 2.1189 2022/07/28 10:27:56 - mmengine - INFO - Epoch(train) [99][640/3757] lr: 4.3041e-03 eta: 1 day, 9:54:55 time: 0.3978 data_time: 0.0166 memory: 17007 grad_norm: 7.7568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8706 loss: 1.8706 2022/07/28 10:28:04 - mmengine - INFO - Epoch(train) [99][660/3757] lr: 4.3041e-03 eta: 1 day, 9:54:47 time: 0.4057 data_time: 0.0139 memory: 17007 grad_norm: 7.7143 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8842 loss: 1.8842 2022/07/28 10:28:12 - mmengine - INFO - Epoch(train) [99][680/3757] lr: 4.3041e-03 eta: 1 day, 9:54:39 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 8.0252 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2496 loss: 2.2496 2022/07/28 10:28:20 - mmengine - INFO - Epoch(train) [99][700/3757] lr: 4.3041e-03 eta: 1 day, 9:54:31 time: 0.3949 data_time: 0.0139 memory: 17007 grad_norm: 7.5572 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5392 loss: 1.5392 2022/07/28 10:28:28 - mmengine - INFO - Epoch(train) [99][720/3757] lr: 4.3041e-03 eta: 1 day, 9:54:23 time: 0.3966 data_time: 0.0165 memory: 17007 grad_norm: 7.6754 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8137 loss: 1.8137 2022/07/28 10:28:36 - mmengine - INFO - Epoch(train) [99][740/3757] lr: 4.3041e-03 eta: 1 day, 9:54:15 time: 0.4041 data_time: 0.0138 memory: 17007 grad_norm: 7.9088 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7195 loss: 1.7195 2022/07/28 10:28:44 - mmengine - INFO - Epoch(train) [99][760/3757] lr: 4.3041e-03 eta: 1 day, 9:54:07 time: 0.3962 data_time: 0.0166 memory: 17007 grad_norm: 7.8217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7096 loss: 1.7096 2022/07/28 10:28:52 - mmengine - INFO - Epoch(train) [99][780/3757] lr: 4.3041e-03 eta: 1 day, 9:53:59 time: 0.3923 data_time: 0.0124 memory: 17007 grad_norm: 7.4698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9769 loss: 1.9769 2022/07/28 10:29:00 - mmengine - INFO - Epoch(train) [99][800/3757] lr: 4.3041e-03 eta: 1 day, 9:53:51 time: 0.4034 data_time: 0.0171 memory: 17007 grad_norm: 7.6843 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0571 loss: 2.0571 2022/07/28 10:29:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:29:08 - mmengine - INFO - Epoch(train) [99][820/3757] lr: 4.3041e-03 eta: 1 day, 9:53:43 time: 0.3977 data_time: 0.0146 memory: 17007 grad_norm: 7.9120 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0018 loss: 2.0018 2022/07/28 10:29:16 - mmengine - INFO - Epoch(train) [99][840/3757] lr: 4.3041e-03 eta: 1 day, 9:53:35 time: 0.3978 data_time: 0.0166 memory: 17007 grad_norm: 7.6618 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7661 loss: 1.7661 2022/07/28 10:29:24 - mmengine - INFO - Epoch(train) [99][860/3757] lr: 4.3041e-03 eta: 1 day, 9:53:27 time: 0.3954 data_time: 0.0138 memory: 17007 grad_norm: 7.8556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7795 loss: 1.7795 2022/07/28 10:29:32 - mmengine - INFO - Epoch(train) [99][880/3757] lr: 4.3041e-03 eta: 1 day, 9:53:19 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 7.4822 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9403 loss: 1.9403 2022/07/28 10:29:40 - mmengine - INFO - Epoch(train) [99][900/3757] lr: 4.3041e-03 eta: 1 day, 9:53:11 time: 0.3947 data_time: 0.0149 memory: 17007 grad_norm: 7.6482 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0687 loss: 2.0687 2022/07/28 10:29:48 - mmengine - INFO - Epoch(train) [99][920/3757] lr: 4.3041e-03 eta: 1 day, 9:53:03 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 7.8691 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9452 loss: 1.9452 2022/07/28 10:29:56 - mmengine - INFO - Epoch(train) [99][940/3757] lr: 4.3041e-03 eta: 1 day, 9:52:55 time: 0.3964 data_time: 0.0127 memory: 17007 grad_norm: 7.7191 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9189 loss: 1.9189 2022/07/28 10:30:04 - mmengine - INFO - Epoch(train) [99][960/3757] lr: 4.3041e-03 eta: 1 day, 9:52:48 time: 0.4027 data_time: 0.0156 memory: 17007 grad_norm: 7.7543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8556 loss: 1.8556 2022/07/28 10:30:11 - mmengine - INFO - Epoch(train) [99][980/3757] lr: 4.3041e-03 eta: 1 day, 9:52:40 time: 0.3936 data_time: 0.0133 memory: 17007 grad_norm: 7.9694 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8931 loss: 1.8931 2022/07/28 10:30:20 - mmengine - INFO - Epoch(train) [99][1000/3757] lr: 4.3041e-03 eta: 1 day, 9:52:32 time: 0.4043 data_time: 0.0160 memory: 17007 grad_norm: 7.6928 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0962 loss: 2.0962 2022/07/28 10:30:28 - mmengine - INFO - Epoch(train) [99][1020/3757] lr: 4.3041e-03 eta: 1 day, 9:52:24 time: 0.4003 data_time: 0.0131 memory: 17007 grad_norm: 7.6580 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0107 loss: 2.0107 2022/07/28 10:30:36 - mmengine - INFO - Epoch(train) [99][1040/3757] lr: 4.3041e-03 eta: 1 day, 9:52:16 time: 0.3996 data_time: 0.0167 memory: 17007 grad_norm: 7.6643 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8326 loss: 1.8326 2022/07/28 10:30:43 - mmengine - INFO - Epoch(train) [99][1060/3757] lr: 4.3041e-03 eta: 1 day, 9:52:08 time: 0.3931 data_time: 0.0125 memory: 17007 grad_norm: 7.8307 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7465 loss: 1.7465 2022/07/28 10:30:51 - mmengine - INFO - Epoch(train) [99][1080/3757] lr: 4.3041e-03 eta: 1 day, 9:52:00 time: 0.3933 data_time: 0.0152 memory: 17007 grad_norm: 7.9642 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8119 loss: 1.8119 2022/07/28 10:30:59 - mmengine - INFO - Epoch(train) [99][1100/3757] lr: 4.3041e-03 eta: 1 day, 9:51:52 time: 0.3989 data_time: 0.0150 memory: 17007 grad_norm: 8.0188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8215 loss: 1.8215 2022/07/28 10:31:07 - mmengine - INFO - Epoch(train) [99][1120/3757] lr: 4.3041e-03 eta: 1 day, 9:51:44 time: 0.3961 data_time: 0.0160 memory: 17007 grad_norm: 7.5942 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3468 loss: 2.3468 2022/07/28 10:31:15 - mmengine - INFO - Epoch(train) [99][1140/3757] lr: 4.3041e-03 eta: 1 day, 9:51:36 time: 0.4086 data_time: 0.0136 memory: 17007 grad_norm: 7.4504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0302 loss: 2.0302 2022/07/28 10:31:23 - mmengine - INFO - Epoch(train) [99][1160/3757] lr: 4.3041e-03 eta: 1 day, 9:51:28 time: 0.3984 data_time: 0.0151 memory: 17007 grad_norm: 8.0022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9146 loss: 1.9146 2022/07/28 10:31:31 - mmengine - INFO - Epoch(train) [99][1180/3757] lr: 4.3041e-03 eta: 1 day, 9:51:20 time: 0.3920 data_time: 0.0125 memory: 17007 grad_norm: 7.7258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6451 loss: 1.6451 2022/07/28 10:31:39 - mmengine - INFO - Epoch(train) [99][1200/3757] lr: 4.3041e-03 eta: 1 day, 9:51:12 time: 0.3979 data_time: 0.0170 memory: 17007 grad_norm: 7.9157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0137 loss: 2.0137 2022/07/28 10:31:47 - mmengine - INFO - Epoch(train) [99][1220/3757] lr: 4.3041e-03 eta: 1 day, 9:51:04 time: 0.3963 data_time: 0.0125 memory: 17007 grad_norm: 7.5387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8782 loss: 1.8782 2022/07/28 10:31:55 - mmengine - INFO - Epoch(train) [99][1240/3757] lr: 4.3041e-03 eta: 1 day, 9:50:57 time: 0.4016 data_time: 0.0171 memory: 17007 grad_norm: 7.8406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0062 loss: 2.0062 2022/07/28 10:32:03 - mmengine - INFO - Epoch(train) [99][1260/3757] lr: 4.3041e-03 eta: 1 day, 9:50:49 time: 0.3943 data_time: 0.0131 memory: 17007 grad_norm: 7.7295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2431 loss: 2.2431 2022/07/28 10:32:11 - mmengine - INFO - Epoch(train) [99][1280/3757] lr: 4.3041e-03 eta: 1 day, 9:50:41 time: 0.3962 data_time: 0.0154 memory: 17007 grad_norm: 7.9373 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2843 loss: 2.2843 2022/07/28 10:32:19 - mmengine - INFO - Epoch(train) [99][1300/3757] lr: 4.3041e-03 eta: 1 day, 9:50:33 time: 0.4058 data_time: 0.0146 memory: 17007 grad_norm: 7.7312 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8757 loss: 1.8757 2022/07/28 10:32:27 - mmengine - INFO - Epoch(train) [99][1320/3757] lr: 4.3041e-03 eta: 1 day, 9:50:25 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 7.6669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8708 loss: 1.8708 2022/07/28 10:32:35 - mmengine - INFO - Epoch(train) [99][1340/3757] lr: 4.3041e-03 eta: 1 day, 9:50:17 time: 0.4022 data_time: 0.0137 memory: 17007 grad_norm: 7.3946 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8271 loss: 1.8271 2022/07/28 10:32:43 - mmengine - INFO - Epoch(train) [99][1360/3757] lr: 4.3041e-03 eta: 1 day, 9:50:09 time: 0.3976 data_time: 0.0161 memory: 17007 grad_norm: 7.5424 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.7225 loss: 1.7225 2022/07/28 10:32:51 - mmengine - INFO - Epoch(train) [99][1380/3757] lr: 4.3041e-03 eta: 1 day, 9:50:01 time: 0.3938 data_time: 0.0139 memory: 17007 grad_norm: 7.5712 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9714 loss: 1.9714 2022/07/28 10:32:59 - mmengine - INFO - Epoch(train) [99][1400/3757] lr: 4.3041e-03 eta: 1 day, 9:49:53 time: 0.3961 data_time: 0.0160 memory: 17007 grad_norm: 7.7879 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9840 loss: 1.9840 2022/07/28 10:33:07 - mmengine - INFO - Epoch(train) [99][1420/3757] lr: 4.3041e-03 eta: 1 day, 9:49:45 time: 0.3935 data_time: 0.0135 memory: 17007 grad_norm: 7.6568 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7829 loss: 1.7829 2022/07/28 10:33:15 - mmengine - INFO - Epoch(train) [99][1440/3757] lr: 4.3041e-03 eta: 1 day, 9:49:37 time: 0.3996 data_time: 0.0163 memory: 17007 grad_norm: 7.7899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9686 loss: 1.9686 2022/07/28 10:33:23 - mmengine - INFO - Epoch(train) [99][1460/3757] lr: 4.3041e-03 eta: 1 day, 9:49:29 time: 0.3933 data_time: 0.0128 memory: 17007 grad_norm: 7.5356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7312 loss: 1.7312 2022/07/28 10:33:31 - mmengine - INFO - Epoch(train) [99][1480/3757] lr: 4.3041e-03 eta: 1 day, 9:49:21 time: 0.3953 data_time: 0.0159 memory: 17007 grad_norm: 7.7183 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8591 loss: 1.8591 2022/07/28 10:33:39 - mmengine - INFO - Epoch(train) [99][1500/3757] lr: 4.3041e-03 eta: 1 day, 9:49:13 time: 0.4048 data_time: 0.0132 memory: 17007 grad_norm: 7.7145 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8739 loss: 1.8739 2022/07/28 10:33:47 - mmengine - INFO - Epoch(train) [99][1520/3757] lr: 4.3041e-03 eta: 1 day, 9:49:05 time: 0.3959 data_time: 0.0161 memory: 17007 grad_norm: 7.8543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8947 loss: 1.8947 2022/07/28 10:33:55 - mmengine - INFO - Epoch(train) [99][1540/3757] lr: 4.3041e-03 eta: 1 day, 9:48:57 time: 0.3957 data_time: 0.0151 memory: 17007 grad_norm: 7.8338 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5939 loss: 1.5939 2022/07/28 10:34:02 - mmengine - INFO - Epoch(train) [99][1560/3757] lr: 4.3041e-03 eta: 1 day, 9:48:49 time: 0.3942 data_time: 0.0156 memory: 17007 grad_norm: 7.9339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0065 loss: 2.0065 2022/07/28 10:34:10 - mmengine - INFO - Epoch(train) [99][1580/3757] lr: 4.3041e-03 eta: 1 day, 9:48:41 time: 0.3940 data_time: 0.0145 memory: 17007 grad_norm: 7.6381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0025 loss: 2.0025 2022/07/28 10:34:18 - mmengine - INFO - Epoch(train) [99][1600/3757] lr: 4.3041e-03 eta: 1 day, 9:48:34 time: 0.3974 data_time: 0.0167 memory: 17007 grad_norm: 7.7113 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7010 loss: 1.7010 2022/07/28 10:34:26 - mmengine - INFO - Epoch(train) [99][1620/3757] lr: 4.3041e-03 eta: 1 day, 9:48:26 time: 0.4027 data_time: 0.0127 memory: 17007 grad_norm: 7.8169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5898 loss: 1.5898 2022/07/28 10:34:34 - mmengine - INFO - Epoch(train) [99][1640/3757] lr: 4.3041e-03 eta: 1 day, 9:48:18 time: 0.3998 data_time: 0.0161 memory: 17007 grad_norm: 7.7032 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6417 loss: 1.6417 2022/07/28 10:34:42 - mmengine - INFO - Epoch(train) [99][1660/3757] lr: 4.3041e-03 eta: 1 day, 9:48:10 time: 0.3936 data_time: 0.0124 memory: 17007 grad_norm: 7.5915 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8266 loss: 1.8266 2022/07/28 10:34:50 - mmengine - INFO - Epoch(train) [99][1680/3757] lr: 4.3041e-03 eta: 1 day, 9:48:02 time: 0.4087 data_time: 0.0151 memory: 17007 grad_norm: 8.1407 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7869 loss: 1.7869 2022/07/28 10:34:58 - mmengine - INFO - Epoch(train) [99][1700/3757] lr: 4.3041e-03 eta: 1 day, 9:47:54 time: 0.3965 data_time: 0.0156 memory: 17007 grad_norm: 7.6336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7344 loss: 1.7344 2022/07/28 10:35:06 - mmengine - INFO - Epoch(train) [99][1720/3757] lr: 4.3041e-03 eta: 1 day, 9:47:46 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 7.8743 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0692 loss: 2.0692 2022/07/28 10:35:14 - mmengine - INFO - Epoch(train) [99][1740/3757] lr: 4.3041e-03 eta: 1 day, 9:47:38 time: 0.3983 data_time: 0.0147 memory: 17007 grad_norm: 7.9389 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9249 loss: 1.9249 2022/07/28 10:35:22 - mmengine - INFO - Epoch(train) [99][1760/3757] lr: 4.3041e-03 eta: 1 day, 9:47:30 time: 0.3964 data_time: 0.0171 memory: 17007 grad_norm: 7.9644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9957 loss: 1.9957 2022/07/28 10:35:30 - mmengine - INFO - Epoch(train) [99][1780/3757] lr: 4.3041e-03 eta: 1 day, 9:47:23 time: 0.4099 data_time: 0.0130 memory: 17007 grad_norm: 7.6899 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6334 loss: 1.6334 2022/07/28 10:35:38 - mmengine - INFO - Epoch(train) [99][1800/3757] lr: 4.3041e-03 eta: 1 day, 9:47:15 time: 0.3980 data_time: 0.0187 memory: 17007 grad_norm: 7.5315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8788 loss: 1.8788 2022/07/28 10:35:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:35:46 - mmengine - INFO - Epoch(train) [99][1820/3757] lr: 4.3041e-03 eta: 1 day, 9:47:07 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 7.6457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9363 loss: 1.9363 2022/07/28 10:35:54 - mmengine - INFO - Epoch(train) [99][1840/3757] lr: 4.3041e-03 eta: 1 day, 9:46:59 time: 0.3969 data_time: 0.0160 memory: 17007 grad_norm: 7.6167 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9872 loss: 1.9872 2022/07/28 10:36:02 - mmengine - INFO - Epoch(train) [99][1860/3757] lr: 4.3041e-03 eta: 1 day, 9:46:51 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 7.8295 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3443 loss: 2.3443 2022/07/28 10:36:10 - mmengine - INFO - Epoch(train) [99][1880/3757] lr: 4.3041e-03 eta: 1 day, 9:46:43 time: 0.4000 data_time: 0.0163 memory: 17007 grad_norm: 7.6479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5843 loss: 1.5843 2022/07/28 10:36:18 - mmengine - INFO - Epoch(train) [99][1900/3757] lr: 4.3041e-03 eta: 1 day, 9:46:35 time: 0.4027 data_time: 0.0234 memory: 17007 grad_norm: 7.5620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6763 loss: 1.6763 2022/07/28 10:36:26 - mmengine - INFO - Epoch(train) [99][1920/3757] lr: 4.3041e-03 eta: 1 day, 9:46:27 time: 0.3951 data_time: 0.0150 memory: 17007 grad_norm: 7.7547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8451 loss: 1.8451 2022/07/28 10:36:34 - mmengine - INFO - Epoch(train) [99][1940/3757] lr: 4.3041e-03 eta: 1 day, 9:46:19 time: 0.3940 data_time: 0.0136 memory: 17007 grad_norm: 7.7050 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9013 loss: 1.9013 2022/07/28 10:36:42 - mmengine - INFO - Epoch(train) [99][1960/3757] lr: 4.3041e-03 eta: 1 day, 9:46:11 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 7.7902 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8144 loss: 1.8144 2022/07/28 10:36:50 - mmengine - INFO - Epoch(train) [99][1980/3757] lr: 4.3041e-03 eta: 1 day, 9:46:03 time: 0.3990 data_time: 0.0140 memory: 17007 grad_norm: 7.7760 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8926 loss: 1.8926 2022/07/28 10:36:58 - mmengine - INFO - Epoch(train) [99][2000/3757] lr: 4.3041e-03 eta: 1 day, 9:45:55 time: 0.3965 data_time: 0.0163 memory: 17007 grad_norm: 7.6294 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0015 loss: 2.0015 2022/07/28 10:37:06 - mmengine - INFO - Epoch(train) [99][2020/3757] lr: 4.3041e-03 eta: 1 day, 9:45:47 time: 0.4003 data_time: 0.0137 memory: 17007 grad_norm: 8.0525 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9914 loss: 1.9914 2022/07/28 10:37:14 - mmengine - INFO - Epoch(train) [99][2040/3757] lr: 4.3041e-03 eta: 1 day, 9:45:39 time: 0.3962 data_time: 0.0166 memory: 17007 grad_norm: 7.8377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7915 loss: 1.7915 2022/07/28 10:37:22 - mmengine - INFO - Epoch(train) [99][2060/3757] lr: 4.3041e-03 eta: 1 day, 9:45:31 time: 0.3933 data_time: 0.0129 memory: 17007 grad_norm: 7.9479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0190 loss: 2.0190 2022/07/28 10:37:30 - mmengine - INFO - Epoch(train) [99][2080/3757] lr: 4.3041e-03 eta: 1 day, 9:45:24 time: 0.4106 data_time: 0.0174 memory: 17007 grad_norm: 7.5357 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9521 loss: 1.9521 2022/07/28 10:37:38 - mmengine - INFO - Epoch(train) [99][2100/3757] lr: 4.3041e-03 eta: 1 day, 9:45:16 time: 0.3943 data_time: 0.0133 memory: 17007 grad_norm: 7.8654 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8148 loss: 1.8148 2022/07/28 10:37:46 - mmengine - INFO - Epoch(train) [99][2120/3757] lr: 4.3041e-03 eta: 1 day, 9:45:08 time: 0.4007 data_time: 0.0173 memory: 17007 grad_norm: 7.6177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7245 loss: 1.7245 2022/07/28 10:37:54 - mmengine - INFO - Epoch(train) [99][2140/3757] lr: 4.3041e-03 eta: 1 day, 9:45:00 time: 0.3948 data_time: 0.0135 memory: 17007 grad_norm: 7.7435 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9523 loss: 1.9523 2022/07/28 10:38:02 - mmengine - INFO - Epoch(train) [99][2160/3757] lr: 4.3041e-03 eta: 1 day, 9:44:52 time: 0.3933 data_time: 0.0157 memory: 17007 grad_norm: 7.6584 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5758 loss: 1.5758 2022/07/28 10:38:10 - mmengine - INFO - Epoch(train) [99][2180/3757] lr: 4.3041e-03 eta: 1 day, 9:44:44 time: 0.3980 data_time: 0.0125 memory: 17007 grad_norm: 7.8219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7425 loss: 1.7425 2022/07/28 10:38:18 - mmengine - INFO - Epoch(train) [99][2200/3757] lr: 4.3041e-03 eta: 1 day, 9:44:36 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.6760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6565 loss: 1.6565 2022/07/28 10:38:26 - mmengine - INFO - Epoch(train) [99][2220/3757] lr: 4.3041e-03 eta: 1 day, 9:44:28 time: 0.4020 data_time: 0.0138 memory: 17007 grad_norm: 7.9851 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0775 loss: 2.0775 2022/07/28 10:38:34 - mmengine - INFO - Epoch(train) [99][2240/3757] lr: 4.3041e-03 eta: 1 day, 9:44:20 time: 0.3969 data_time: 0.0149 memory: 17007 grad_norm: 7.8936 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9937 loss: 1.9937 2022/07/28 10:38:41 - mmengine - INFO - Epoch(train) [99][2260/3757] lr: 4.3041e-03 eta: 1 day, 9:44:12 time: 0.3927 data_time: 0.0129 memory: 17007 grad_norm: 7.7074 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9464 loss: 1.9464 2022/07/28 10:38:49 - mmengine - INFO - Epoch(train) [99][2280/3757] lr: 4.3041e-03 eta: 1 day, 9:44:04 time: 0.3994 data_time: 0.0171 memory: 17007 grad_norm: 7.5444 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7046 loss: 1.7046 2022/07/28 10:38:57 - mmengine - INFO - Epoch(train) [99][2300/3757] lr: 4.3041e-03 eta: 1 day, 9:43:56 time: 0.3940 data_time: 0.0143 memory: 17007 grad_norm: 7.7613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7947 loss: 1.7947 2022/07/28 10:39:05 - mmengine - INFO - Epoch(train) [99][2320/3757] lr: 4.3041e-03 eta: 1 day, 9:43:48 time: 0.3979 data_time: 0.0163 memory: 17007 grad_norm: 7.6327 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0935 loss: 2.0935 2022/07/28 10:39:13 - mmengine - INFO - Epoch(train) [99][2340/3757] lr: 4.3041e-03 eta: 1 day, 9:43:40 time: 0.3933 data_time: 0.0122 memory: 17007 grad_norm: 7.8146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7359 loss: 1.7359 2022/07/28 10:39:21 - mmengine - INFO - Epoch(train) [99][2360/3757] lr: 4.3041e-03 eta: 1 day, 9:43:32 time: 0.3949 data_time: 0.0149 memory: 17007 grad_norm: 7.8774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9870 loss: 1.9870 2022/07/28 10:39:29 - mmengine - INFO - Epoch(train) [99][2380/3757] lr: 4.3041e-03 eta: 1 day, 9:43:24 time: 0.4047 data_time: 0.0147 memory: 17007 grad_norm: 7.8268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8268 loss: 1.8268 2022/07/28 10:39:37 - mmengine - INFO - Epoch(train) [99][2400/3757] lr: 4.3041e-03 eta: 1 day, 9:43:16 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 7.8999 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6137 loss: 1.6137 2022/07/28 10:39:45 - mmengine - INFO - Epoch(train) [99][2420/3757] lr: 4.3041e-03 eta: 1 day, 9:43:09 time: 0.4149 data_time: 0.0140 memory: 17007 grad_norm: 8.0293 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7198 loss: 1.7198 2022/07/28 10:39:53 - mmengine - INFO - Epoch(train) [99][2440/3757] lr: 4.3041e-03 eta: 1 day, 9:43:01 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 7.8214 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2049 loss: 2.2049 2022/07/28 10:40:01 - mmengine - INFO - Epoch(train) [99][2460/3757] lr: 4.3041e-03 eta: 1 day, 9:42:53 time: 0.3977 data_time: 0.0146 memory: 17007 grad_norm: 7.9854 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2735 loss: 2.2735 2022/07/28 10:40:09 - mmengine - INFO - Epoch(train) [99][2480/3757] lr: 4.3041e-03 eta: 1 day, 9:42:45 time: 0.4002 data_time: 0.0200 memory: 17007 grad_norm: 7.6803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7275 loss: 1.7275 2022/07/28 10:40:17 - mmengine - INFO - Epoch(train) [99][2500/3757] lr: 4.3041e-03 eta: 1 day, 9:42:37 time: 0.3932 data_time: 0.0123 memory: 17007 grad_norm: 7.5816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6718 loss: 1.6718 2022/07/28 10:40:25 - mmengine - INFO - Epoch(train) [99][2520/3757] lr: 4.3041e-03 eta: 1 day, 9:42:29 time: 0.3981 data_time: 0.0170 memory: 17007 grad_norm: 8.1191 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6230 loss: 1.6230 2022/07/28 10:40:33 - mmengine - INFO - Epoch(train) [99][2540/3757] lr: 4.3041e-03 eta: 1 day, 9:42:21 time: 0.3952 data_time: 0.0141 memory: 17007 grad_norm: 7.8453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7179 loss: 1.7179 2022/07/28 10:40:41 - mmengine - INFO - Epoch(train) [99][2560/3757] lr: 4.3041e-03 eta: 1 day, 9:42:13 time: 0.3967 data_time: 0.0153 memory: 17007 grad_norm: 7.7349 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9330 loss: 1.9330 2022/07/28 10:40:49 - mmengine - INFO - Epoch(train) [99][2580/3757] lr: 4.3041e-03 eta: 1 day, 9:42:05 time: 0.3963 data_time: 0.0151 memory: 17007 grad_norm: 7.7303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9891 loss: 1.9891 2022/07/28 10:40:57 - mmengine - INFO - Epoch(train) [99][2600/3757] lr: 4.3041e-03 eta: 1 day, 9:41:57 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 7.7601 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6975 loss: 1.6975 2022/07/28 10:41:05 - mmengine - INFO - Epoch(train) [99][2620/3757] lr: 4.3041e-03 eta: 1 day, 9:41:49 time: 0.3965 data_time: 0.0149 memory: 17007 grad_norm: 7.8463 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8485 loss: 1.8485 2022/07/28 10:41:13 - mmengine - INFO - Epoch(train) [99][2640/3757] lr: 4.3041e-03 eta: 1 day, 9:41:41 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 8.0384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1052 loss: 2.1052 2022/07/28 10:41:21 - mmengine - INFO - Epoch(train) [99][2660/3757] lr: 4.3041e-03 eta: 1 day, 9:41:33 time: 0.3937 data_time: 0.0141 memory: 17007 grad_norm: 7.7871 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8369 loss: 1.8369 2022/07/28 10:41:29 - mmengine - INFO - Epoch(train) [99][2680/3757] lr: 4.3041e-03 eta: 1 day, 9:41:25 time: 0.3992 data_time: 0.0165 memory: 17007 grad_norm: 7.6290 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7380 loss: 1.7380 2022/07/28 10:41:36 - mmengine - INFO - Epoch(train) [99][2700/3757] lr: 4.3041e-03 eta: 1 day, 9:41:17 time: 0.3935 data_time: 0.0132 memory: 17007 grad_norm: 7.9510 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9455 loss: 1.9455 2022/07/28 10:41:44 - mmengine - INFO - Epoch(train) [99][2720/3757] lr: 4.3041e-03 eta: 1 day, 9:41:09 time: 0.3966 data_time: 0.0171 memory: 17007 grad_norm: 7.7096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7793 loss: 1.7793 2022/07/28 10:41:52 - mmengine - INFO - Epoch(train) [99][2740/3757] lr: 4.3041e-03 eta: 1 day, 9:41:01 time: 0.3933 data_time: 0.0132 memory: 17007 grad_norm: 7.5466 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9836 loss: 1.9836 2022/07/28 10:42:00 - mmengine - INFO - Epoch(train) [99][2760/3757] lr: 4.3041e-03 eta: 1 day, 9:40:53 time: 0.3954 data_time: 0.0154 memory: 17007 grad_norm: 7.8243 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7339 loss: 1.7339 2022/07/28 10:42:08 - mmengine - INFO - Epoch(train) [99][2780/3757] lr: 4.3041e-03 eta: 1 day, 9:40:45 time: 0.3967 data_time: 0.0134 memory: 17007 grad_norm: 7.7639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8253 loss: 1.8253 2022/07/28 10:42:16 - mmengine - INFO - Epoch(train) [99][2800/3757] lr: 4.3041e-03 eta: 1 day, 9:40:37 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 7.7083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7570 loss: 1.7570 2022/07/28 10:42:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:42:24 - mmengine - INFO - Epoch(train) [99][2820/3757] lr: 4.3041e-03 eta: 1 day, 9:40:29 time: 0.3948 data_time: 0.0136 memory: 17007 grad_norm: 7.8626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8073 loss: 1.8073 2022/07/28 10:42:32 - mmengine - INFO - Epoch(train) [99][2840/3757] lr: 4.3041e-03 eta: 1 day, 9:40:21 time: 0.3960 data_time: 0.0158 memory: 17007 grad_norm: 7.8630 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2480 loss: 2.2480 2022/07/28 10:42:40 - mmengine - INFO - Epoch(train) [99][2860/3757] lr: 4.3041e-03 eta: 1 day, 9:40:13 time: 0.3951 data_time: 0.0127 memory: 17007 grad_norm: 7.9873 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3041 loss: 2.3041 2022/07/28 10:42:48 - mmengine - INFO - Epoch(train) [99][2880/3757] lr: 4.3041e-03 eta: 1 day, 9:40:05 time: 0.3975 data_time: 0.0172 memory: 17007 grad_norm: 7.7404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7692 loss: 1.7692 2022/07/28 10:42:56 - mmengine - INFO - Epoch(train) [99][2900/3757] lr: 4.3041e-03 eta: 1 day, 9:39:57 time: 0.3934 data_time: 0.0122 memory: 17007 grad_norm: 8.0586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2515 loss: 2.2515 2022/07/28 10:43:04 - mmengine - INFO - Epoch(train) [99][2920/3757] lr: 4.3041e-03 eta: 1 day, 9:39:49 time: 0.3937 data_time: 0.0158 memory: 17007 grad_norm: 7.8706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9459 loss: 1.9459 2022/07/28 10:43:11 - mmengine - INFO - Epoch(train) [99][2940/3757] lr: 4.3041e-03 eta: 1 day, 9:39:41 time: 0.3946 data_time: 0.0134 memory: 17007 grad_norm: 7.7274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6801 loss: 1.6801 2022/07/28 10:43:19 - mmengine - INFO - Epoch(train) [99][2960/3757] lr: 4.3041e-03 eta: 1 day, 9:39:34 time: 0.3964 data_time: 0.0160 memory: 17007 grad_norm: 7.7150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9871 loss: 1.9871 2022/07/28 10:43:27 - mmengine - INFO - Epoch(train) [99][2980/3757] lr: 4.3041e-03 eta: 1 day, 9:39:26 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 7.5861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9841 loss: 1.9841 2022/07/28 10:43:35 - mmengine - INFO - Epoch(train) [99][3000/3757] lr: 4.3041e-03 eta: 1 day, 9:39:18 time: 0.3955 data_time: 0.0171 memory: 17007 grad_norm: 7.8736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9375 loss: 1.9375 2022/07/28 10:43:43 - mmengine - INFO - Epoch(train) [99][3020/3757] lr: 4.3041e-03 eta: 1 day, 9:39:10 time: 0.3950 data_time: 0.0142 memory: 17007 grad_norm: 7.7443 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7588 loss: 1.7588 2022/07/28 10:43:51 - mmengine - INFO - Epoch(train) [99][3040/3757] lr: 4.3041e-03 eta: 1 day, 9:39:02 time: 0.3965 data_time: 0.0153 memory: 17007 grad_norm: 8.0974 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1026 loss: 2.1026 2022/07/28 10:43:59 - mmengine - INFO - Epoch(train) [99][3060/3757] lr: 4.3041e-03 eta: 1 day, 9:38:54 time: 0.3980 data_time: 0.0143 memory: 17007 grad_norm: 7.5676 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9221 loss: 1.9221 2022/07/28 10:44:07 - mmengine - INFO - Epoch(train) [99][3080/3757] lr: 4.3041e-03 eta: 1 day, 9:38:46 time: 0.3961 data_time: 0.0160 memory: 17007 grad_norm: 7.5985 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7424 loss: 1.7424 2022/07/28 10:44:15 - mmengine - INFO - Epoch(train) [99][3100/3757] lr: 4.3041e-03 eta: 1 day, 9:38:38 time: 0.3947 data_time: 0.0150 memory: 17007 grad_norm: 7.4526 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0546 loss: 2.0546 2022/07/28 10:44:23 - mmengine - INFO - Epoch(train) [99][3120/3757] lr: 4.3041e-03 eta: 1 day, 9:38:30 time: 0.3947 data_time: 0.0150 memory: 17007 grad_norm: 7.8584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8870 loss: 1.8870 2022/07/28 10:44:31 - mmengine - INFO - Epoch(train) [99][3140/3757] lr: 4.3041e-03 eta: 1 day, 9:38:22 time: 0.3952 data_time: 0.0138 memory: 17007 grad_norm: 7.2807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7628 loss: 1.7628 2022/07/28 10:44:39 - mmengine - INFO - Epoch(train) [99][3160/3757] lr: 4.3041e-03 eta: 1 day, 9:38:14 time: 0.3977 data_time: 0.0157 memory: 17007 grad_norm: 7.6321 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0718 loss: 2.0718 2022/07/28 10:44:47 - mmengine - INFO - Epoch(train) [99][3180/3757] lr: 4.3041e-03 eta: 1 day, 9:38:06 time: 0.3954 data_time: 0.0143 memory: 17007 grad_norm: 7.3800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9597 loss: 1.9597 2022/07/28 10:44:55 - mmengine - INFO - Epoch(train) [99][3200/3757] lr: 4.3041e-03 eta: 1 day, 9:37:58 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 8.1952 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7379 loss: 1.7379 2022/07/28 10:45:02 - mmengine - INFO - Epoch(train) [99][3220/3757] lr: 4.3041e-03 eta: 1 day, 9:37:50 time: 0.3936 data_time: 0.0135 memory: 17007 grad_norm: 7.9132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9792 loss: 1.9792 2022/07/28 10:45:10 - mmengine - INFO - Epoch(train) [99][3240/3757] lr: 4.3041e-03 eta: 1 day, 9:37:42 time: 0.3999 data_time: 0.0179 memory: 17007 grad_norm: 7.8484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7661 loss: 1.7661 2022/07/28 10:45:18 - mmengine - INFO - Epoch(train) [99][3260/3757] lr: 4.3041e-03 eta: 1 day, 9:37:34 time: 0.3945 data_time: 0.0129 memory: 17007 grad_norm: 7.8500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8507 loss: 1.8507 2022/07/28 10:45:26 - mmengine - INFO - Epoch(train) [99][3280/3757] lr: 4.3041e-03 eta: 1 day, 9:37:26 time: 0.3965 data_time: 0.0166 memory: 17007 grad_norm: 7.7022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8524 loss: 1.8524 2022/07/28 10:45:34 - mmengine - INFO - Epoch(train) [99][3300/3757] lr: 4.3041e-03 eta: 1 day, 9:37:18 time: 0.3979 data_time: 0.0134 memory: 17007 grad_norm: 8.1237 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9565 loss: 1.9565 2022/07/28 10:45:42 - mmengine - INFO - Epoch(train) [99][3320/3757] lr: 4.3041e-03 eta: 1 day, 9:37:10 time: 0.3955 data_time: 0.0157 memory: 17007 grad_norm: 7.9490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9251 loss: 1.9251 2022/07/28 10:45:50 - mmengine - INFO - Epoch(train) [99][3340/3757] lr: 4.3041e-03 eta: 1 day, 9:37:02 time: 0.3976 data_time: 0.0131 memory: 17007 grad_norm: 7.8755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6967 loss: 1.6967 2022/07/28 10:45:58 - mmengine - INFO - Epoch(train) [99][3360/3757] lr: 4.3041e-03 eta: 1 day, 9:36:54 time: 0.3962 data_time: 0.0155 memory: 17007 grad_norm: 7.9169 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9858 loss: 1.9858 2022/07/28 10:46:06 - mmengine - INFO - Epoch(train) [99][3380/3757] lr: 4.3041e-03 eta: 1 day, 9:36:46 time: 0.3942 data_time: 0.0121 memory: 17007 grad_norm: 7.8597 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8917 loss: 1.8917 2022/07/28 10:46:14 - mmengine - INFO - Epoch(train) [99][3400/3757] lr: 4.3041e-03 eta: 1 day, 9:36:38 time: 0.3956 data_time: 0.0159 memory: 17007 grad_norm: 7.7445 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0062 loss: 2.0062 2022/07/28 10:46:22 - mmengine - INFO - Epoch(train) [99][3420/3757] lr: 4.3041e-03 eta: 1 day, 9:36:30 time: 0.3958 data_time: 0.0138 memory: 17007 grad_norm: 7.7330 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1573 loss: 2.1573 2022/07/28 10:46:30 - mmengine - INFO - Epoch(train) [99][3440/3757] lr: 4.3041e-03 eta: 1 day, 9:36:23 time: 0.4022 data_time: 0.0161 memory: 17007 grad_norm: 7.6405 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9822 loss: 1.9822 2022/07/28 10:46:38 - mmengine - INFO - Epoch(train) [99][3460/3757] lr: 4.3041e-03 eta: 1 day, 9:36:15 time: 0.3982 data_time: 0.0127 memory: 17007 grad_norm: 7.6702 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9171 loss: 1.9171 2022/07/28 10:46:46 - mmengine - INFO - Epoch(train) [99][3480/3757] lr: 4.3041e-03 eta: 1 day, 9:36:07 time: 0.4029 data_time: 0.0159 memory: 17007 grad_norm: 7.7499 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8411 loss: 1.8411 2022/07/28 10:46:54 - mmengine - INFO - Epoch(train) [99][3500/3757] lr: 4.3041e-03 eta: 1 day, 9:35:59 time: 0.3931 data_time: 0.0127 memory: 17007 grad_norm: 7.8280 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1895 loss: 2.1895 2022/07/28 10:47:02 - mmengine - INFO - Epoch(train) [99][3520/3757] lr: 4.3041e-03 eta: 1 day, 9:35:51 time: 0.3970 data_time: 0.0162 memory: 17007 grad_norm: 8.0109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9572 loss: 1.9572 2022/07/28 10:47:10 - mmengine - INFO - Epoch(train) [99][3540/3757] lr: 4.3041e-03 eta: 1 day, 9:35:43 time: 0.4045 data_time: 0.0128 memory: 17007 grad_norm: 7.6328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0582 loss: 2.0582 2022/07/28 10:47:18 - mmengine - INFO - Epoch(train) [99][3560/3757] lr: 4.3041e-03 eta: 1 day, 9:35:35 time: 0.3986 data_time: 0.0166 memory: 17007 grad_norm: 7.8654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8729 loss: 1.8729 2022/07/28 10:47:26 - mmengine - INFO - Epoch(train) [99][3580/3757] lr: 4.3041e-03 eta: 1 day, 9:35:27 time: 0.4038 data_time: 0.0139 memory: 17007 grad_norm: 7.7200 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6951 loss: 1.6951 2022/07/28 10:47:34 - mmengine - INFO - Epoch(train) [99][3600/3757] lr: 4.3041e-03 eta: 1 day, 9:35:19 time: 0.3948 data_time: 0.0157 memory: 17007 grad_norm: 7.8439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7909 loss: 1.7909 2022/07/28 10:47:42 - mmengine - INFO - Epoch(train) [99][3620/3757] lr: 4.3041e-03 eta: 1 day, 9:35:11 time: 0.3945 data_time: 0.0138 memory: 17007 grad_norm: 8.0664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8103 loss: 1.8103 2022/07/28 10:47:50 - mmengine - INFO - Epoch(train) [99][3640/3757] lr: 4.3041e-03 eta: 1 day, 9:35:03 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 7.7925 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2333 loss: 2.2333 2022/07/28 10:47:58 - mmengine - INFO - Epoch(train) [99][3660/3757] lr: 4.3041e-03 eta: 1 day, 9:34:55 time: 0.3964 data_time: 0.0144 memory: 17007 grad_norm: 8.0270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8043 loss: 1.8043 2022/07/28 10:48:06 - mmengine - INFO - Epoch(train) [99][3680/3757] lr: 4.3041e-03 eta: 1 day, 9:34:47 time: 0.3958 data_time: 0.0163 memory: 17007 grad_norm: 7.8330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9432 loss: 1.9432 2022/07/28 10:48:13 - mmengine - INFO - Epoch(train) [99][3700/3757] lr: 4.3041e-03 eta: 1 day, 9:34:39 time: 0.3928 data_time: 0.0130 memory: 17007 grad_norm: 7.4758 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9399 loss: 1.9399 2022/07/28 10:48:21 - mmengine - INFO - Epoch(train) [99][3720/3757] lr: 4.3041e-03 eta: 1 day, 9:34:31 time: 0.3967 data_time: 0.0165 memory: 17007 grad_norm: 7.8137 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9439 loss: 1.9439 2022/07/28 10:48:29 - mmengine - INFO - Epoch(train) [99][3740/3757] lr: 4.3041e-03 eta: 1 day, 9:34:23 time: 0.3960 data_time: 0.0133 memory: 17007 grad_norm: 8.0164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7433 loss: 1.7433 2022/07/28 10:48:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:48:36 - mmengine - INFO - Epoch(train) [99][3757/3757] lr: 4.3041e-03 eta: 1 day, 9:34:23 time: 0.3956 data_time: 0.0178 memory: 17007 grad_norm: 7.8375 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.6352 loss: 1.6352 2022/07/28 10:48:36 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/07/28 10:48:49 - mmengine - INFO - Epoch(train) [100][20/3757] lr: 4.2178e-03 eta: 1 day, 9:34:04 time: 0.4473 data_time: 0.0703 memory: 17007 grad_norm: 7.6061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5386 loss: 1.5386 2022/07/28 10:48:57 - mmengine - INFO - Epoch(train) [100][40/3757] lr: 4.2178e-03 eta: 1 day, 9:33:56 time: 0.4012 data_time: 0.0180 memory: 17007 grad_norm: 7.6495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9477 loss: 1.9477 2022/07/28 10:49:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:49:05 - mmengine - INFO - Epoch(train) [100][60/3757] lr: 4.2178e-03 eta: 1 day, 9:33:48 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 7.7583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8783 loss: 1.8783 2022/07/28 10:49:12 - mmengine - INFO - Epoch(train) [100][80/3757] lr: 4.2178e-03 eta: 1 day, 9:33:40 time: 0.3922 data_time: 0.0140 memory: 17007 grad_norm: 7.8744 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6790 loss: 1.6790 2022/07/28 10:49:20 - mmengine - INFO - Epoch(train) [100][100/3757] lr: 4.2178e-03 eta: 1 day, 9:33:32 time: 0.3960 data_time: 0.0166 memory: 17007 grad_norm: 7.4319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5395 loss: 1.5395 2022/07/28 10:49:28 - mmengine - INFO - Epoch(train) [100][120/3757] lr: 4.2178e-03 eta: 1 day, 9:33:24 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 7.8506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0757 loss: 2.0757 2022/07/28 10:49:36 - mmengine - INFO - Epoch(train) [100][140/3757] lr: 4.2178e-03 eta: 1 day, 9:33:16 time: 0.3988 data_time: 0.0175 memory: 17007 grad_norm: 7.8493 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9022 loss: 1.9022 2022/07/28 10:49:44 - mmengine - INFO - Epoch(train) [100][160/3757] lr: 4.2178e-03 eta: 1 day, 9:33:08 time: 0.3950 data_time: 0.0152 memory: 17007 grad_norm: 7.6019 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8796 loss: 1.8796 2022/07/28 10:49:52 - mmengine - INFO - Epoch(train) [100][180/3757] lr: 4.2178e-03 eta: 1 day, 9:33:00 time: 0.3933 data_time: 0.0150 memory: 17007 grad_norm: 7.9417 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5357 loss: 1.5357 2022/07/28 10:50:00 - mmengine - INFO - Epoch(train) [100][200/3757] lr: 4.2178e-03 eta: 1 day, 9:32:52 time: 0.3971 data_time: 0.0161 memory: 17007 grad_norm: 7.8203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9832 loss: 1.9832 2022/07/28 10:50:08 - mmengine - INFO - Epoch(train) [100][220/3757] lr: 4.2178e-03 eta: 1 day, 9:32:44 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 7.8878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8572 loss: 1.8572 2022/07/28 10:50:16 - mmengine - INFO - Epoch(train) [100][240/3757] lr: 4.2178e-03 eta: 1 day, 9:32:36 time: 0.3964 data_time: 0.0173 memory: 17007 grad_norm: 7.5877 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9995 loss: 1.9995 2022/07/28 10:50:24 - mmengine - INFO - Epoch(train) [100][260/3757] lr: 4.2178e-03 eta: 1 day, 9:32:28 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 7.6701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7368 loss: 1.7368 2022/07/28 10:50:32 - mmengine - INFO - Epoch(train) [100][280/3757] lr: 4.2178e-03 eta: 1 day, 9:32:21 time: 0.3960 data_time: 0.0141 memory: 17007 grad_norm: 7.7604 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0745 loss: 2.0745 2022/07/28 10:50:40 - mmengine - INFO - Epoch(train) [100][300/3757] lr: 4.2178e-03 eta: 1 day, 9:32:13 time: 0.3969 data_time: 0.0155 memory: 17007 grad_norm: 7.9036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8548 loss: 1.8548 2022/07/28 10:50:48 - mmengine - INFO - Epoch(train) [100][320/3757] lr: 4.2178e-03 eta: 1 day, 9:32:05 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 7.6681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8844 loss: 1.8844 2022/07/28 10:50:56 - mmengine - INFO - Epoch(train) [100][340/3757] lr: 4.2178e-03 eta: 1 day, 9:31:57 time: 0.4021 data_time: 0.0164 memory: 17007 grad_norm: 7.6560 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1712 loss: 2.1712 2022/07/28 10:51:04 - mmengine - INFO - Epoch(train) [100][360/3757] lr: 4.2178e-03 eta: 1 day, 9:31:49 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 7.9472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0089 loss: 2.0089 2022/07/28 10:51:11 - mmengine - INFO - Epoch(train) [100][380/3757] lr: 4.2178e-03 eta: 1 day, 9:31:41 time: 0.3931 data_time: 0.0148 memory: 17007 grad_norm: 7.5722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8573 loss: 1.8573 2022/07/28 10:51:20 - mmengine - INFO - Epoch(train) [100][400/3757] lr: 4.2178e-03 eta: 1 day, 9:31:33 time: 0.4083 data_time: 0.0167 memory: 17007 grad_norm: 7.7390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0221 loss: 2.0221 2022/07/28 10:51:27 - mmengine - INFO - Epoch(train) [100][420/3757] lr: 4.2178e-03 eta: 1 day, 9:31:25 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 8.0905 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9915 loss: 1.9915 2022/07/28 10:51:36 - mmengine - INFO - Epoch(train) [100][440/3757] lr: 4.2178e-03 eta: 1 day, 9:31:17 time: 0.4100 data_time: 0.0162 memory: 17007 grad_norm: 7.8161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8252 loss: 1.8252 2022/07/28 10:51:44 - mmengine - INFO - Epoch(train) [100][460/3757] lr: 4.2178e-03 eta: 1 day, 9:31:09 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 7.6678 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8297 loss: 1.8297 2022/07/28 10:51:52 - mmengine - INFO - Epoch(train) [100][480/3757] lr: 4.2178e-03 eta: 1 day, 9:31:01 time: 0.3947 data_time: 0.0152 memory: 17007 grad_norm: 7.1142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8675 loss: 1.8675 2022/07/28 10:51:59 - mmengine - INFO - Epoch(train) [100][500/3757] lr: 4.2178e-03 eta: 1 day, 9:30:53 time: 0.3981 data_time: 0.0168 memory: 17007 grad_norm: 7.6151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5742 loss: 1.5742 2022/07/28 10:52:07 - mmengine - INFO - Epoch(train) [100][520/3757] lr: 4.2178e-03 eta: 1 day, 9:30:45 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 7.6939 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9961 loss: 1.9961 2022/07/28 10:52:15 - mmengine - INFO - Epoch(train) [100][540/3757] lr: 4.2178e-03 eta: 1 day, 9:30:37 time: 0.4011 data_time: 0.0170 memory: 17007 grad_norm: 8.0255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6438 loss: 1.6438 2022/07/28 10:52:23 - mmengine - INFO - Epoch(train) [100][560/3757] lr: 4.2178e-03 eta: 1 day, 9:30:30 time: 0.3947 data_time: 0.0140 memory: 17007 grad_norm: 7.7139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7363 loss: 1.7363 2022/07/28 10:52:31 - mmengine - INFO - Epoch(train) [100][580/3757] lr: 4.2178e-03 eta: 1 day, 9:30:22 time: 0.3959 data_time: 0.0157 memory: 17007 grad_norm: 7.7008 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2185 loss: 2.2185 2022/07/28 10:52:39 - mmengine - INFO - Epoch(train) [100][600/3757] lr: 4.2178e-03 eta: 1 day, 9:30:14 time: 0.4037 data_time: 0.0166 memory: 17007 grad_norm: 8.0107 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8709 loss: 1.8709 2022/07/28 10:52:47 - mmengine - INFO - Epoch(train) [100][620/3757] lr: 4.2178e-03 eta: 1 day, 9:30:06 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 7.9554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6005 loss: 1.6005 2022/07/28 10:52:55 - mmengine - INFO - Epoch(train) [100][640/3757] lr: 4.2178e-03 eta: 1 day, 9:29:58 time: 0.4016 data_time: 0.0169 memory: 17007 grad_norm: 7.9032 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0844 loss: 2.0844 2022/07/28 10:53:03 - mmengine - INFO - Epoch(train) [100][660/3757] lr: 4.2178e-03 eta: 1 day, 9:29:50 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 7.4986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8557 loss: 1.8557 2022/07/28 10:53:11 - mmengine - INFO - Epoch(train) [100][680/3757] lr: 4.2178e-03 eta: 1 day, 9:29:42 time: 0.3951 data_time: 0.0161 memory: 17007 grad_norm: 7.8323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0388 loss: 2.0388 2022/07/28 10:53:19 - mmengine - INFO - Epoch(train) [100][700/3757] lr: 4.2178e-03 eta: 1 day, 9:29:34 time: 0.4015 data_time: 0.0169 memory: 17007 grad_norm: 7.7970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1146 loss: 2.1146 2022/07/28 10:53:27 - mmengine - INFO - Epoch(train) [100][720/3757] lr: 4.2178e-03 eta: 1 day, 9:29:26 time: 0.3940 data_time: 0.0147 memory: 17007 grad_norm: 7.7910 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6971 loss: 1.6971 2022/07/28 10:53:35 - mmengine - INFO - Epoch(train) [100][740/3757] lr: 4.2178e-03 eta: 1 day, 9:29:18 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 7.6848 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6686 loss: 1.6686 2022/07/28 10:53:43 - mmengine - INFO - Epoch(train) [100][760/3757] lr: 4.2178e-03 eta: 1 day, 9:29:10 time: 0.3969 data_time: 0.0135 memory: 17007 grad_norm: 7.8030 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7162 loss: 1.7162 2022/07/28 10:53:51 - mmengine - INFO - Epoch(train) [100][780/3757] lr: 4.2178e-03 eta: 1 day, 9:29:02 time: 0.3936 data_time: 0.0143 memory: 17007 grad_norm: 7.5422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7804 loss: 1.7804 2022/07/28 10:53:59 - mmengine - INFO - Epoch(train) [100][800/3757] lr: 4.2178e-03 eta: 1 day, 9:28:54 time: 0.4024 data_time: 0.0166 memory: 17007 grad_norm: 7.7240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9774 loss: 1.9774 2022/07/28 10:54:07 - mmengine - INFO - Epoch(train) [100][820/3757] lr: 4.2178e-03 eta: 1 day, 9:28:46 time: 0.3941 data_time: 0.0152 memory: 17007 grad_norm: 8.0438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8111 loss: 1.8111 2022/07/28 10:54:15 - mmengine - INFO - Epoch(train) [100][840/3757] lr: 4.2178e-03 eta: 1 day, 9:28:38 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.9758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1893 loss: 2.1893 2022/07/28 10:54:23 - mmengine - INFO - Epoch(train) [100][860/3757] lr: 4.2178e-03 eta: 1 day, 9:28:30 time: 0.4089 data_time: 0.0155 memory: 17007 grad_norm: 7.6505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0556 loss: 2.0556 2022/07/28 10:54:31 - mmengine - INFO - Epoch(train) [100][880/3757] lr: 4.2178e-03 eta: 1 day, 9:28:23 time: 0.3959 data_time: 0.0154 memory: 17007 grad_norm: 7.7615 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9138 loss: 1.9138 2022/07/28 10:54:39 - mmengine - INFO - Epoch(train) [100][900/3757] lr: 4.2178e-03 eta: 1 day, 9:28:15 time: 0.4003 data_time: 0.0157 memory: 17007 grad_norm: 7.7852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9248 loss: 1.9248 2022/07/28 10:54:47 - mmengine - INFO - Epoch(train) [100][920/3757] lr: 4.2178e-03 eta: 1 day, 9:28:07 time: 0.3941 data_time: 0.0149 memory: 17007 grad_norm: 7.5424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7881 loss: 1.7881 2022/07/28 10:54:55 - mmengine - INFO - Epoch(train) [100][940/3757] lr: 4.2178e-03 eta: 1 day, 9:27:59 time: 0.3955 data_time: 0.0157 memory: 17007 grad_norm: 8.1401 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8222 loss: 1.8222 2022/07/28 10:55:03 - mmengine - INFO - Epoch(train) [100][960/3757] lr: 4.2178e-03 eta: 1 day, 9:27:51 time: 0.4026 data_time: 0.0161 memory: 17007 grad_norm: 7.3436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5747 loss: 1.5747 2022/07/28 10:55:10 - mmengine - INFO - Epoch(train) [100][980/3757] lr: 4.2178e-03 eta: 1 day, 9:27:43 time: 0.3940 data_time: 0.0149 memory: 17007 grad_norm: 8.1649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8213 loss: 1.8213 2022/07/28 10:55:19 - mmengine - INFO - Epoch(train) [100][1000/3757] lr: 4.2178e-03 eta: 1 day, 9:27:35 time: 0.4014 data_time: 0.0159 memory: 17007 grad_norm: 7.5991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8605 loss: 1.8605 2022/07/28 10:55:26 - mmengine - INFO - Epoch(train) [100][1020/3757] lr: 4.2178e-03 eta: 1 day, 9:27:27 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 7.9759 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1267 loss: 2.1267 2022/07/28 10:55:34 - mmengine - INFO - Epoch(train) [100][1040/3757] lr: 4.2178e-03 eta: 1 day, 9:27:19 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 7.8122 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8425 loss: 1.8425 2022/07/28 10:55:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 10:55:42 - mmengine - INFO - Epoch(train) [100][1060/3757] lr: 4.2178e-03 eta: 1 day, 9:27:11 time: 0.4004 data_time: 0.0166 memory: 17007 grad_norm: 7.8534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9512 loss: 1.9512 2022/07/28 10:55:50 - mmengine - INFO - Epoch(train) [100][1080/3757] lr: 4.2178e-03 eta: 1 day, 9:27:03 time: 0.3948 data_time: 0.0147 memory: 17007 grad_norm: 7.6343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4887 loss: 1.4887 2022/07/28 10:55:58 - mmengine - INFO - Epoch(train) [100][1100/3757] lr: 4.2178e-03 eta: 1 day, 9:26:55 time: 0.3982 data_time: 0.0168 memory: 17007 grad_norm: 7.8760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9023 loss: 1.9023 2022/07/28 10:56:06 - mmengine - INFO - Epoch(train) [100][1120/3757] lr: 4.2178e-03 eta: 1 day, 9:26:47 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 7.6397 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7208 loss: 1.7208 2022/07/28 10:56:14 - mmengine - INFO - Epoch(train) [100][1140/3757] lr: 4.2178e-03 eta: 1 day, 9:26:39 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 8.0142 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8846 loss: 1.8846 2022/07/28 10:56:22 - mmengine - INFO - Epoch(train) [100][1160/3757] lr: 4.2178e-03 eta: 1 day, 9:26:31 time: 0.4057 data_time: 0.0166 memory: 17007 grad_norm: 7.9280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9386 loss: 1.9386 2022/07/28 10:56:30 - mmengine - INFO - Epoch(train) [100][1180/3757] lr: 4.2178e-03 eta: 1 day, 9:26:23 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 7.4647 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7924 loss: 1.7924 2022/07/28 10:56:38 - mmengine - INFO - Epoch(train) [100][1200/3757] lr: 4.2178e-03 eta: 1 day, 9:26:15 time: 0.3973 data_time: 0.0167 memory: 17007 grad_norm: 8.0114 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7887 loss: 1.7887 2022/07/28 10:56:46 - mmengine - INFO - Epoch(train) [100][1220/3757] lr: 4.2178e-03 eta: 1 day, 9:26:08 time: 0.3961 data_time: 0.0148 memory: 17007 grad_norm: 7.8567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9717 loss: 1.9717 2022/07/28 10:56:54 - mmengine - INFO - Epoch(train) [100][1240/3757] lr: 4.2178e-03 eta: 1 day, 9:26:00 time: 0.3950 data_time: 0.0151 memory: 17007 grad_norm: 7.9951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6910 loss: 1.6910 2022/07/28 10:57:02 - mmengine - INFO - Epoch(train) [100][1260/3757] lr: 4.2178e-03 eta: 1 day, 9:25:52 time: 0.3964 data_time: 0.0160 memory: 17007 grad_norm: 7.6188 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6495 loss: 1.6495 2022/07/28 10:57:10 - mmengine - INFO - Epoch(train) [100][1280/3757] lr: 4.2178e-03 eta: 1 day, 9:25:44 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 7.8075 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1395 loss: 2.1395 2022/07/28 10:57:18 - mmengine - INFO - Epoch(train) [100][1300/3757] lr: 4.2178e-03 eta: 1 day, 9:25:36 time: 0.3949 data_time: 0.0162 memory: 17007 grad_norm: 7.9074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1930 loss: 2.1930 2022/07/28 10:57:26 - mmengine - INFO - Epoch(train) [100][1320/3757] lr: 4.2178e-03 eta: 1 day, 9:25:28 time: 0.3965 data_time: 0.0154 memory: 17007 grad_norm: 7.3114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8083 loss: 1.8083 2022/07/28 10:57:33 - mmengine - INFO - Epoch(train) [100][1340/3757] lr: 4.2178e-03 eta: 1 day, 9:25:20 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 8.2597 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.6705 loss: 1.6705 2022/07/28 10:57:41 - mmengine - INFO - Epoch(train) [100][1360/3757] lr: 4.2178e-03 eta: 1 day, 9:25:12 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 7.7873 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8865 loss: 1.8865 2022/07/28 10:57:49 - mmengine - INFO - Epoch(train) [100][1380/3757] lr: 4.2178e-03 eta: 1 day, 9:25:04 time: 0.3964 data_time: 0.0147 memory: 17007 grad_norm: 7.9796 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8077 loss: 1.8077 2022/07/28 10:57:57 - mmengine - INFO - Epoch(train) [100][1400/3757] lr: 4.2178e-03 eta: 1 day, 9:24:56 time: 0.3969 data_time: 0.0167 memory: 17007 grad_norm: 7.8441 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7906 loss: 1.7906 2022/07/28 10:58:05 - mmengine - INFO - Epoch(train) [100][1420/3757] lr: 4.2178e-03 eta: 1 day, 9:24:48 time: 0.3965 data_time: 0.0150 memory: 17007 grad_norm: 7.6834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7635 loss: 1.7635 2022/07/28 10:58:13 - mmengine - INFO - Epoch(train) [100][1440/3757] lr: 4.2178e-03 eta: 1 day, 9:24:40 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 7.5778 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7197 loss: 1.7197 2022/07/28 10:58:21 - mmengine - INFO - Epoch(train) [100][1460/3757] lr: 4.2178e-03 eta: 1 day, 9:24:32 time: 0.3959 data_time: 0.0164 memory: 17007 grad_norm: 7.7798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8108 loss: 1.8108 2022/07/28 10:58:29 - mmengine - INFO - Epoch(train) [100][1480/3757] lr: 4.2178e-03 eta: 1 day, 9:24:24 time: 0.4007 data_time: 0.0156 memory: 17007 grad_norm: 7.9940 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9088 loss: 1.9088 2022/07/28 10:58:37 - mmengine - INFO - Epoch(train) [100][1500/3757] lr: 4.2178e-03 eta: 1 day, 9:24:16 time: 0.3946 data_time: 0.0166 memory: 17007 grad_norm: 7.7661 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7382 loss: 1.7382 2022/07/28 10:58:45 - mmengine - INFO - Epoch(train) [100][1520/3757] lr: 4.2178e-03 eta: 1 day, 9:24:08 time: 0.3950 data_time: 0.0149 memory: 17007 grad_norm: 7.6800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5167 loss: 1.5167 2022/07/28 10:58:53 - mmengine - INFO - Epoch(train) [100][1540/3757] lr: 4.2178e-03 eta: 1 day, 9:24:00 time: 0.4057 data_time: 0.0162 memory: 17007 grad_norm: 7.9283 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8439 loss: 1.8439 2022/07/28 10:59:01 - mmengine - INFO - Epoch(train) [100][1560/3757] lr: 4.2178e-03 eta: 1 day, 9:23:52 time: 0.3942 data_time: 0.0146 memory: 17007 grad_norm: 7.5731 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6784 loss: 1.6784 2022/07/28 10:59:09 - mmengine - INFO - Epoch(train) [100][1580/3757] lr: 4.2178e-03 eta: 1 day, 9:23:44 time: 0.4017 data_time: 0.0157 memory: 17007 grad_norm: 7.8537 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7947 loss: 1.7947 2022/07/28 10:59:17 - mmengine - INFO - Epoch(train) [100][1600/3757] lr: 4.2178e-03 eta: 1 day, 9:23:37 time: 0.4055 data_time: 0.0160 memory: 17007 grad_norm: 7.4625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6368 loss: 1.6368 2022/07/28 10:59:25 - mmengine - INFO - Epoch(train) [100][1620/3757] lr: 4.2178e-03 eta: 1 day, 9:23:29 time: 0.3964 data_time: 0.0149 memory: 17007 grad_norm: 8.0740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9685 loss: 1.9685 2022/07/28 10:59:33 - mmengine - INFO - Epoch(train) [100][1640/3757] lr: 4.2178e-03 eta: 1 day, 9:23:21 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 7.7801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8464 loss: 1.8464 2022/07/28 10:59:41 - mmengine - INFO - Epoch(train) [100][1660/3757] lr: 4.2178e-03 eta: 1 day, 9:23:13 time: 0.4056 data_time: 0.0198 memory: 17007 grad_norm: 8.0983 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0223 loss: 2.0223 2022/07/28 10:59:49 - mmengine - INFO - Epoch(train) [100][1680/3757] lr: 4.2178e-03 eta: 1 day, 9:23:05 time: 0.3962 data_time: 0.0152 memory: 17007 grad_norm: 7.7589 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7217 loss: 1.7217 2022/07/28 10:59:57 - mmengine - INFO - Epoch(train) [100][1700/3757] lr: 4.2178e-03 eta: 1 day, 9:22:57 time: 0.4038 data_time: 0.0149 memory: 17007 grad_norm: 7.8419 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6519 loss: 1.6519 2022/07/28 11:00:05 - mmengine - INFO - Epoch(train) [100][1720/3757] lr: 4.2178e-03 eta: 1 day, 9:22:49 time: 0.3938 data_time: 0.0150 memory: 17007 grad_norm: 7.9288 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.7977 loss: 1.7977 2022/07/28 11:00:13 - mmengine - INFO - Epoch(train) [100][1740/3757] lr: 4.2178e-03 eta: 1 day, 9:22:41 time: 0.3960 data_time: 0.0152 memory: 17007 grad_norm: 7.6103 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7384 loss: 1.7384 2022/07/28 11:00:21 - mmengine - INFO - Epoch(train) [100][1760/3757] lr: 4.2178e-03 eta: 1 day, 9:22:33 time: 0.3955 data_time: 0.0151 memory: 17007 grad_norm: 7.8058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9204 loss: 1.9204 2022/07/28 11:00:29 - mmengine - INFO - Epoch(train) [100][1780/3757] lr: 4.2178e-03 eta: 1 day, 9:22:25 time: 0.3964 data_time: 0.0157 memory: 17007 grad_norm: 7.4691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0108 loss: 2.0108 2022/07/28 11:00:37 - mmengine - INFO - Epoch(train) [100][1800/3757] lr: 4.2178e-03 eta: 1 day, 9:22:18 time: 0.4145 data_time: 0.0161 memory: 17007 grad_norm: 7.9137 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8359 loss: 1.8359 2022/07/28 11:00:45 - mmengine - INFO - Epoch(train) [100][1820/3757] lr: 4.2178e-03 eta: 1 day, 9:22:10 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 7.9109 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2784 loss: 2.2784 2022/07/28 11:00:53 - mmengine - INFO - Epoch(train) [100][1840/3757] lr: 4.2178e-03 eta: 1 day, 9:22:02 time: 0.3967 data_time: 0.0145 memory: 17007 grad_norm: 7.9392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9897 loss: 1.9897 2022/07/28 11:01:01 - mmengine - INFO - Epoch(train) [100][1860/3757] lr: 4.2178e-03 eta: 1 day, 9:21:54 time: 0.3983 data_time: 0.0153 memory: 17007 grad_norm: 7.6097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8703 loss: 1.8703 2022/07/28 11:01:09 - mmengine - INFO - Epoch(train) [100][1880/3757] lr: 4.2178e-03 eta: 1 day, 9:21:46 time: 0.3973 data_time: 0.0160 memory: 17007 grad_norm: 7.6614 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9638 loss: 1.9638 2022/07/28 11:01:17 - mmengine - INFO - Epoch(train) [100][1900/3757] lr: 4.2178e-03 eta: 1 day, 9:21:38 time: 0.4074 data_time: 0.0155 memory: 17007 grad_norm: 7.8420 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7239 loss: 1.7239 2022/07/28 11:01:25 - mmengine - INFO - Epoch(train) [100][1920/3757] lr: 4.2178e-03 eta: 1 day, 9:21:30 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 7.9990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0046 loss: 2.0046 2022/07/28 11:01:33 - mmengine - INFO - Epoch(train) [100][1940/3757] lr: 4.2178e-03 eta: 1 day, 9:21:22 time: 0.3969 data_time: 0.0163 memory: 17007 grad_norm: 7.5272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8139 loss: 1.8139 2022/07/28 11:01:41 - mmengine - INFO - Epoch(train) [100][1960/3757] lr: 4.2178e-03 eta: 1 day, 9:21:14 time: 0.4001 data_time: 0.0156 memory: 17007 grad_norm: 7.7771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7899 loss: 1.7899 2022/07/28 11:01:49 - mmengine - INFO - Epoch(train) [100][1980/3757] lr: 4.2178e-03 eta: 1 day, 9:21:06 time: 0.3955 data_time: 0.0154 memory: 17007 grad_norm: 7.4848 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8210 loss: 1.8210 2022/07/28 11:01:57 - mmengine - INFO - Epoch(train) [100][2000/3757] lr: 4.2178e-03 eta: 1 day, 9:20:58 time: 0.4043 data_time: 0.0167 memory: 17007 grad_norm: 8.0781 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8137 loss: 1.8137 2022/07/28 11:02:05 - mmengine - INFO - Epoch(train) [100][2020/3757] lr: 4.2178e-03 eta: 1 day, 9:20:50 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 7.5639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7662 loss: 1.7662 2022/07/28 11:02:13 - mmengine - INFO - Epoch(train) [100][2040/3757] lr: 4.2178e-03 eta: 1 day, 9:20:42 time: 0.3972 data_time: 0.0164 memory: 17007 grad_norm: 7.7352 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1841 loss: 2.1841 2022/07/28 11:02:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:02:21 - mmengine - INFO - Epoch(train) [100][2060/3757] lr: 4.2178e-03 eta: 1 day, 9:20:34 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 7.7758 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1834 loss: 2.1834 2022/07/28 11:02:29 - mmengine - INFO - Epoch(train) [100][2080/3757] lr: 4.2178e-03 eta: 1 day, 9:20:26 time: 0.3956 data_time: 0.0154 memory: 17007 grad_norm: 7.7289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9521 loss: 1.9521 2022/07/28 11:02:37 - mmengine - INFO - Epoch(train) [100][2100/3757] lr: 4.2178e-03 eta: 1 day, 9:20:19 time: 0.4012 data_time: 0.0168 memory: 17007 grad_norm: 7.9015 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0565 loss: 2.0565 2022/07/28 11:02:44 - mmengine - INFO - Epoch(train) [100][2120/3757] lr: 4.2178e-03 eta: 1 day, 9:20:11 time: 0.3930 data_time: 0.0159 memory: 17007 grad_norm: 7.4346 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5723 loss: 1.5723 2022/07/28 11:02:52 - mmengine - INFO - Epoch(train) [100][2140/3757] lr: 4.2178e-03 eta: 1 day, 9:20:03 time: 0.3956 data_time: 0.0155 memory: 17007 grad_norm: 7.4969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7390 loss: 1.7390 2022/07/28 11:03:00 - mmengine - INFO - Epoch(train) [100][2160/3757] lr: 4.2178e-03 eta: 1 day, 9:19:55 time: 0.3964 data_time: 0.0170 memory: 17007 grad_norm: 7.7764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9557 loss: 1.9557 2022/07/28 11:03:08 - mmengine - INFO - Epoch(train) [100][2180/3757] lr: 4.2178e-03 eta: 1 day, 9:19:47 time: 0.3963 data_time: 0.0159 memory: 17007 grad_norm: 7.7716 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8723 loss: 1.8723 2022/07/28 11:03:16 - mmengine - INFO - Epoch(train) [100][2200/3757] lr: 4.2178e-03 eta: 1 day, 9:19:39 time: 0.3991 data_time: 0.0156 memory: 17007 grad_norm: 8.1440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3047 loss: 2.3047 2022/07/28 11:03:24 - mmengine - INFO - Epoch(train) [100][2220/3757] lr: 4.2178e-03 eta: 1 day, 9:19:31 time: 0.3929 data_time: 0.0146 memory: 17007 grad_norm: 7.8950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8718 loss: 1.8718 2022/07/28 11:03:32 - mmengine - INFO - Epoch(train) [100][2240/3757] lr: 4.2178e-03 eta: 1 day, 9:19:23 time: 0.3958 data_time: 0.0160 memory: 17007 grad_norm: 7.7589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6380 loss: 1.6380 2022/07/28 11:03:40 - mmengine - INFO - Epoch(train) [100][2260/3757] lr: 4.2178e-03 eta: 1 day, 9:19:15 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.9593 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8416 loss: 1.8416 2022/07/28 11:03:48 - mmengine - INFO - Epoch(train) [100][2280/3757] lr: 4.2178e-03 eta: 1 day, 9:19:07 time: 0.3937 data_time: 0.0146 memory: 17007 grad_norm: 7.5989 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8941 loss: 1.8941 2022/07/28 11:03:56 - mmengine - INFO - Epoch(train) [100][2300/3757] lr: 4.2178e-03 eta: 1 day, 9:18:59 time: 0.3952 data_time: 0.0159 memory: 17007 grad_norm: 7.5704 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8248 loss: 1.8248 2022/07/28 11:04:04 - mmengine - INFO - Epoch(train) [100][2320/3757] lr: 4.2178e-03 eta: 1 day, 9:18:51 time: 0.3992 data_time: 0.0156 memory: 17007 grad_norm: 8.1670 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7286 loss: 1.7286 2022/07/28 11:04:12 - mmengine - INFO - Epoch(train) [100][2340/3757] lr: 4.2178e-03 eta: 1 day, 9:18:43 time: 0.3955 data_time: 0.0162 memory: 17007 grad_norm: 8.0804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1163 loss: 2.1163 2022/07/28 11:04:20 - mmengine - INFO - Epoch(train) [100][2360/3757] lr: 4.2178e-03 eta: 1 day, 9:18:35 time: 0.4087 data_time: 0.0147 memory: 17007 grad_norm: 7.7878 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9667 loss: 1.9667 2022/07/28 11:04:28 - mmengine - INFO - Epoch(train) [100][2380/3757] lr: 4.2178e-03 eta: 1 day, 9:18:27 time: 0.3936 data_time: 0.0157 memory: 17007 grad_norm: 7.7364 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9094 loss: 1.9094 2022/07/28 11:04:36 - mmengine - INFO - Epoch(train) [100][2400/3757] lr: 4.2178e-03 eta: 1 day, 9:18:19 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 8.2106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9966 loss: 1.9966 2022/07/28 11:04:44 - mmengine - INFO - Epoch(train) [100][2420/3757] lr: 4.2178e-03 eta: 1 day, 9:18:11 time: 0.4008 data_time: 0.0168 memory: 17007 grad_norm: 8.0076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0338 loss: 2.0338 2022/07/28 11:04:52 - mmengine - INFO - Epoch(train) [100][2440/3757] lr: 4.2178e-03 eta: 1 day, 9:18:03 time: 0.3956 data_time: 0.0146 memory: 17007 grad_norm: 7.7434 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9551 loss: 1.9551 2022/07/28 11:05:00 - mmengine - INFO - Epoch(train) [100][2460/3757] lr: 4.2178e-03 eta: 1 day, 9:17:55 time: 0.3958 data_time: 0.0169 memory: 17007 grad_norm: 7.7305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9045 loss: 1.9045 2022/07/28 11:05:07 - mmengine - INFO - Epoch(train) [100][2480/3757] lr: 4.2178e-03 eta: 1 day, 9:17:47 time: 0.3930 data_time: 0.0152 memory: 17007 grad_norm: 7.8022 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8521 loss: 1.8521 2022/07/28 11:05:16 - mmengine - INFO - Epoch(train) [100][2500/3757] lr: 4.2178e-03 eta: 1 day, 9:17:40 time: 0.4043 data_time: 0.0160 memory: 17007 grad_norm: 7.7359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8538 loss: 1.8538 2022/07/28 11:05:24 - mmengine - INFO - Epoch(train) [100][2520/3757] lr: 4.2178e-03 eta: 1 day, 9:17:32 time: 0.4003 data_time: 0.0153 memory: 17007 grad_norm: 7.6790 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9916 loss: 1.9916 2022/07/28 11:05:31 - mmengine - INFO - Epoch(train) [100][2540/3757] lr: 4.2178e-03 eta: 1 day, 9:17:24 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 7.9077 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6268 loss: 1.6268 2022/07/28 11:05:39 - mmengine - INFO - Epoch(train) [100][2560/3757] lr: 4.2178e-03 eta: 1 day, 9:17:16 time: 0.3999 data_time: 0.0150 memory: 17007 grad_norm: 7.7403 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7681 loss: 1.7681 2022/07/28 11:05:47 - mmengine - INFO - Epoch(train) [100][2580/3757] lr: 4.2178e-03 eta: 1 day, 9:17:08 time: 0.3954 data_time: 0.0152 memory: 17007 grad_norm: 7.9149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8241 loss: 1.8241 2022/07/28 11:05:55 - mmengine - INFO - Epoch(train) [100][2600/3757] lr: 4.2178e-03 eta: 1 day, 9:17:00 time: 0.3958 data_time: 0.0156 memory: 17007 grad_norm: 7.8474 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0049 loss: 2.0049 2022/07/28 11:06:03 - mmengine - INFO - Epoch(train) [100][2620/3757] lr: 4.2178e-03 eta: 1 day, 9:16:52 time: 0.3980 data_time: 0.0143 memory: 17007 grad_norm: 7.8075 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1850 loss: 2.1850 2022/07/28 11:06:11 - mmengine - INFO - Epoch(train) [100][2640/3757] lr: 4.2178e-03 eta: 1 day, 9:16:44 time: 0.3963 data_time: 0.0166 memory: 17007 grad_norm: 7.5675 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7608 loss: 1.7608 2022/07/28 11:06:19 - mmengine - INFO - Epoch(train) [100][2660/3757] lr: 4.2178e-03 eta: 1 day, 9:16:36 time: 0.3984 data_time: 0.0174 memory: 17007 grad_norm: 7.8524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/07/28 11:06:27 - mmengine - INFO - Epoch(train) [100][2680/3757] lr: 4.2178e-03 eta: 1 day, 9:16:28 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 7.7445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6240 loss: 1.6240 2022/07/28 11:06:35 - mmengine - INFO - Epoch(train) [100][2700/3757] lr: 4.2178e-03 eta: 1 day, 9:16:20 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 7.8064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6125 loss: 1.6125 2022/07/28 11:06:43 - mmengine - INFO - Epoch(train) [100][2720/3757] lr: 4.2178e-03 eta: 1 day, 9:16:12 time: 0.3948 data_time: 0.0144 memory: 17007 grad_norm: 7.9976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7494 loss: 1.7494 2022/07/28 11:06:51 - mmengine - INFO - Epoch(train) [100][2740/3757] lr: 4.2178e-03 eta: 1 day, 9:16:04 time: 0.4018 data_time: 0.0152 memory: 17007 grad_norm: 8.0793 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9113 loss: 1.9113 2022/07/28 11:06:59 - mmengine - INFO - Epoch(train) [100][2760/3757] lr: 4.2178e-03 eta: 1 day, 9:15:56 time: 0.4002 data_time: 0.0160 memory: 17007 grad_norm: 7.7105 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9864 loss: 1.9864 2022/07/28 11:07:07 - mmengine - INFO - Epoch(train) [100][2780/3757] lr: 4.2178e-03 eta: 1 day, 9:15:48 time: 0.3961 data_time: 0.0152 memory: 17007 grad_norm: 7.9720 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1776 loss: 2.1776 2022/07/28 11:07:15 - mmengine - INFO - Epoch(train) [100][2800/3757] lr: 4.2178e-03 eta: 1 day, 9:15:40 time: 0.3954 data_time: 0.0161 memory: 17007 grad_norm: 7.5102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0681 loss: 2.0681 2022/07/28 11:07:23 - mmengine - INFO - Epoch(train) [100][2820/3757] lr: 4.2178e-03 eta: 1 day, 9:15:32 time: 0.3964 data_time: 0.0163 memory: 17007 grad_norm: 7.9564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7084 loss: 1.7084 2022/07/28 11:07:31 - mmengine - INFO - Epoch(train) [100][2840/3757] lr: 4.2178e-03 eta: 1 day, 9:15:25 time: 0.3951 data_time: 0.0149 memory: 17007 grad_norm: 7.8701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9817 loss: 1.9817 2022/07/28 11:07:39 - mmengine - INFO - Epoch(train) [100][2860/3757] lr: 4.2178e-03 eta: 1 day, 9:15:17 time: 0.3954 data_time: 0.0156 memory: 17007 grad_norm: 7.4459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0933 loss: 2.0933 2022/07/28 11:07:47 - mmengine - INFO - Epoch(train) [100][2880/3757] lr: 4.2178e-03 eta: 1 day, 9:15:09 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 7.9789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0707 loss: 2.0707 2022/07/28 11:07:54 - mmengine - INFO - Epoch(train) [100][2900/3757] lr: 4.2178e-03 eta: 1 day, 9:15:01 time: 0.3942 data_time: 0.0155 memory: 17007 grad_norm: 7.8027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9117 loss: 1.9117 2022/07/28 11:08:02 - mmengine - INFO - Epoch(train) [100][2920/3757] lr: 4.2178e-03 eta: 1 day, 9:14:53 time: 0.3962 data_time: 0.0155 memory: 17007 grad_norm: 7.7183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8883 loss: 1.8883 2022/07/28 11:08:10 - mmengine - INFO - Epoch(train) [100][2940/3757] lr: 4.2178e-03 eta: 1 day, 9:14:45 time: 0.3959 data_time: 0.0146 memory: 17007 grad_norm: 7.9399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1083 loss: 2.1083 2022/07/28 11:08:18 - mmengine - INFO - Epoch(train) [100][2960/3757] lr: 4.2178e-03 eta: 1 day, 9:14:37 time: 0.4047 data_time: 0.0163 memory: 17007 grad_norm: 7.4969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8944 loss: 1.8944 2022/07/28 11:08:26 - mmengine - INFO - Epoch(train) [100][2980/3757] lr: 4.2178e-03 eta: 1 day, 9:14:29 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 7.9318 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9827 loss: 1.9827 2022/07/28 11:08:34 - mmengine - INFO - Epoch(train) [100][3000/3757] lr: 4.2178e-03 eta: 1 day, 9:14:21 time: 0.3935 data_time: 0.0153 memory: 17007 grad_norm: 7.5657 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5716 loss: 1.5716 2022/07/28 11:08:42 - mmengine - INFO - Epoch(train) [100][3020/3757] lr: 4.2178e-03 eta: 1 day, 9:14:13 time: 0.4040 data_time: 0.0156 memory: 17007 grad_norm: 8.1436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8602 loss: 1.8602 2022/07/28 11:08:50 - mmengine - INFO - Epoch(train) [100][3040/3757] lr: 4.2178e-03 eta: 1 day, 9:14:05 time: 0.3975 data_time: 0.0139 memory: 17007 grad_norm: 7.8946 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7463 loss: 1.7463 2022/07/28 11:08:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:08:59 - mmengine - INFO - Epoch(train) [100][3060/3757] lr: 4.2178e-03 eta: 1 day, 9:13:57 time: 0.4164 data_time: 0.0182 memory: 17007 grad_norm: 7.6639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8120 loss: 1.8120 2022/07/28 11:09:07 - mmengine - INFO - Epoch(train) [100][3080/3757] lr: 4.2178e-03 eta: 1 day, 9:13:49 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 7.2755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6095 loss: 1.6095 2022/07/28 11:09:14 - mmengine - INFO - Epoch(train) [100][3100/3757] lr: 4.2178e-03 eta: 1 day, 9:13:41 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 7.7920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9271 loss: 1.9271 2022/07/28 11:09:22 - mmengine - INFO - Epoch(train) [100][3120/3757] lr: 4.2178e-03 eta: 1 day, 9:13:34 time: 0.3960 data_time: 0.0159 memory: 17007 grad_norm: 7.8479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0548 loss: 2.0548 2022/07/28 11:09:30 - mmengine - INFO - Epoch(train) [100][3140/3757] lr: 4.2178e-03 eta: 1 day, 9:13:26 time: 0.3956 data_time: 0.0155 memory: 17007 grad_norm: 7.8800 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9168 loss: 1.9168 2022/07/28 11:09:38 - mmengine - INFO - Epoch(train) [100][3160/3757] lr: 4.2178e-03 eta: 1 day, 9:13:18 time: 0.3944 data_time: 0.0147 memory: 17007 grad_norm: 7.9103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9403 loss: 1.9403 2022/07/28 11:09:46 - mmengine - INFO - Epoch(train) [100][3180/3757] lr: 4.2178e-03 eta: 1 day, 9:13:10 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 7.8433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8482 loss: 1.8482 2022/07/28 11:09:54 - mmengine - INFO - Epoch(train) [100][3200/3757] lr: 4.2178e-03 eta: 1 day, 9:13:02 time: 0.3948 data_time: 0.0164 memory: 17007 grad_norm: 7.8355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8036 loss: 1.8036 2022/07/28 11:10:02 - mmengine - INFO - Epoch(train) [100][3220/3757] lr: 4.2178e-03 eta: 1 day, 9:12:54 time: 0.3960 data_time: 0.0154 memory: 17007 grad_norm: 8.1754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7369 loss: 1.7369 2022/07/28 11:10:10 - mmengine - INFO - Epoch(train) [100][3240/3757] lr: 4.2178e-03 eta: 1 day, 9:12:46 time: 0.3946 data_time: 0.0157 memory: 17007 grad_norm: 7.7872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3149 loss: 2.3149 2022/07/28 11:10:18 - mmengine - INFO - Epoch(train) [100][3260/3757] lr: 4.2178e-03 eta: 1 day, 9:12:38 time: 0.3947 data_time: 0.0164 memory: 17007 grad_norm: 7.8425 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6746 loss: 1.6746 2022/07/28 11:10:26 - mmengine - INFO - Epoch(train) [100][3280/3757] lr: 4.2178e-03 eta: 1 day, 9:12:30 time: 0.3922 data_time: 0.0142 memory: 17007 grad_norm: 8.2232 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9278 loss: 1.9278 2022/07/28 11:10:34 - mmengine - INFO - Epoch(train) [100][3300/3757] lr: 4.2178e-03 eta: 1 day, 9:12:22 time: 0.3985 data_time: 0.0159 memory: 17007 grad_norm: 7.8882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7548 loss: 1.7548 2022/07/28 11:10:41 - mmengine - INFO - Epoch(train) [100][3320/3757] lr: 4.2178e-03 eta: 1 day, 9:12:14 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 7.8245 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9053 loss: 1.9053 2022/07/28 11:10:49 - mmengine - INFO - Epoch(train) [100][3340/3757] lr: 4.2178e-03 eta: 1 day, 9:12:06 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 8.0785 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9591 loss: 1.9591 2022/07/28 11:10:57 - mmengine - INFO - Epoch(train) [100][3360/3757] lr: 4.2178e-03 eta: 1 day, 9:11:58 time: 0.3994 data_time: 0.0145 memory: 17007 grad_norm: 7.5950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6475 loss: 1.6475 2022/07/28 11:11:05 - mmengine - INFO - Epoch(train) [100][3380/3757] lr: 4.2178e-03 eta: 1 day, 9:11:50 time: 0.3943 data_time: 0.0143 memory: 17007 grad_norm: 7.8000 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0726 loss: 2.0726 2022/07/28 11:11:13 - mmengine - INFO - Epoch(train) [100][3400/3757] lr: 4.2178e-03 eta: 1 day, 9:11:42 time: 0.3958 data_time: 0.0163 memory: 17007 grad_norm: 7.7978 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7813 loss: 1.7813 2022/07/28 11:11:21 - mmengine - INFO - Epoch(train) [100][3420/3757] lr: 4.2178e-03 eta: 1 day, 9:11:34 time: 0.3946 data_time: 0.0148 memory: 17007 grad_norm: 7.5426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7355 loss: 1.7355 2022/07/28 11:11:29 - mmengine - INFO - Epoch(train) [100][3440/3757] lr: 4.2178e-03 eta: 1 day, 9:11:26 time: 0.3961 data_time: 0.0165 memory: 17007 grad_norm: 7.9424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8762 loss: 1.8762 2022/07/28 11:11:37 - mmengine - INFO - Epoch(train) [100][3460/3757] lr: 4.2178e-03 eta: 1 day, 9:11:18 time: 0.4101 data_time: 0.0154 memory: 17007 grad_norm: 7.8166 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6403 loss: 1.6403 2022/07/28 11:11:45 - mmengine - INFO - Epoch(train) [100][3480/3757] lr: 4.2178e-03 eta: 1 day, 9:11:10 time: 0.3942 data_time: 0.0145 memory: 17007 grad_norm: 8.0269 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.1406 loss: 2.1406 2022/07/28 11:11:53 - mmengine - INFO - Epoch(train) [100][3500/3757] lr: 4.2178e-03 eta: 1 day, 9:11:02 time: 0.3997 data_time: 0.0160 memory: 17007 grad_norm: 7.8343 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7814 loss: 1.7814 2022/07/28 11:12:01 - mmengine - INFO - Epoch(train) [100][3520/3757] lr: 4.2178e-03 eta: 1 day, 9:10:54 time: 0.3959 data_time: 0.0154 memory: 17007 grad_norm: 8.0543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0760 loss: 2.0760 2022/07/28 11:12:09 - mmengine - INFO - Epoch(train) [100][3540/3757] lr: 4.2178e-03 eta: 1 day, 9:10:46 time: 0.4007 data_time: 0.0162 memory: 17007 grad_norm: 8.0486 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9647 loss: 1.9647 2022/07/28 11:12:17 - mmengine - INFO - Epoch(train) [100][3560/3757] lr: 4.2178e-03 eta: 1 day, 9:10:38 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 7.6393 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8482 loss: 1.8482 2022/07/28 11:12:25 - mmengine - INFO - Epoch(train) [100][3580/3757] lr: 4.2178e-03 eta: 1 day, 9:10:31 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 7.9530 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2090 loss: 2.2090 2022/07/28 11:12:33 - mmengine - INFO - Epoch(train) [100][3600/3757] lr: 4.2178e-03 eta: 1 day, 9:10:23 time: 0.3976 data_time: 0.0175 memory: 17007 grad_norm: 7.7990 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9560 loss: 1.9560 2022/07/28 11:12:41 - mmengine - INFO - Epoch(train) [100][3620/3757] lr: 4.2178e-03 eta: 1 day, 9:10:15 time: 0.3959 data_time: 0.0153 memory: 17007 grad_norm: 7.7907 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2022 loss: 2.2022 2022/07/28 11:12:49 - mmengine - INFO - Epoch(train) [100][3640/3757] lr: 4.2178e-03 eta: 1 day, 9:10:07 time: 0.4225 data_time: 0.0164 memory: 17007 grad_norm: 7.5037 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8421 loss: 1.8421 2022/07/28 11:12:57 - mmengine - INFO - Epoch(train) [100][3660/3757] lr: 4.2178e-03 eta: 1 day, 9:09:59 time: 0.3955 data_time: 0.0151 memory: 17007 grad_norm: 7.6143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8720 loss: 1.8720 2022/07/28 11:13:05 - mmengine - INFO - Epoch(train) [100][3680/3757] lr: 4.2178e-03 eta: 1 day, 9:09:51 time: 0.3926 data_time: 0.0148 memory: 17007 grad_norm: 8.1999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0939 loss: 2.0939 2022/07/28 11:13:13 - mmengine - INFO - Epoch(train) [100][3700/3757] lr: 4.2178e-03 eta: 1 day, 9:09:44 time: 0.4200 data_time: 0.0171 memory: 17007 grad_norm: 7.9946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9288 loss: 1.9288 2022/07/28 11:13:21 - mmengine - INFO - Epoch(train) [100][3720/3757] lr: 4.2178e-03 eta: 1 day, 9:09:36 time: 0.3950 data_time: 0.0151 memory: 17007 grad_norm: 7.7455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8747 loss: 1.8747 2022/07/28 11:13:30 - mmengine - INFO - Epoch(train) [100][3740/3757] lr: 4.2178e-03 eta: 1 day, 9:09:28 time: 0.4226 data_time: 0.0164 memory: 17007 grad_norm: 7.5414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8009 loss: 1.8009 2022/07/28 11:13:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:13:36 - mmengine - INFO - Epoch(train) [100][3757/3757] lr: 4.2178e-03 eta: 1 day, 9:09:28 time: 0.3897 data_time: 0.0149 memory: 17007 grad_norm: 7.6944 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8937 loss: 1.8937 2022/07/28 11:13:36 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/07/28 11:13:44 - mmengine - INFO - Epoch(val) [100][20/310] eta: 0:01:06 time: 0.2306 data_time: 0.1229 memory: 3963 2022/07/28 11:13:47 - mmengine - INFO - Epoch(val) [100][40/310] eta: 0:00:40 time: 0.1515 data_time: 0.0463 memory: 3963 2022/07/28 11:13:50 - mmengine - INFO - Epoch(val) [100][60/310] eta: 0:00:42 time: 0.1695 data_time: 0.0627 memory: 3963 2022/07/28 11:13:53 - mmengine - INFO - Epoch(val) [100][80/310] eta: 0:00:37 time: 0.1638 data_time: 0.0602 memory: 3963 2022/07/28 11:13:56 - mmengine - INFO - Epoch(val) [100][100/310] eta: 0:00:34 time: 0.1632 data_time: 0.0587 memory: 3963 2022/07/28 11:14:00 - mmengine - INFO - Epoch(val) [100][120/310] eta: 0:00:30 time: 0.1610 data_time: 0.0561 memory: 3963 2022/07/28 11:14:04 - mmengine - INFO - Epoch(val) [100][140/310] eta: 0:00:33 time: 0.1969 data_time: 0.0911 memory: 3963 2022/07/28 11:14:07 - mmengine - INFO - Epoch(val) [100][160/310] eta: 0:00:23 time: 0.1540 data_time: 0.0505 memory: 3963 2022/07/28 11:14:10 - mmengine - INFO - Epoch(val) [100][180/310] eta: 0:00:23 time: 0.1791 data_time: 0.0739 memory: 3963 2022/07/28 11:14:14 - mmengine - INFO - Epoch(val) [100][200/310] eta: 0:00:18 time: 0.1650 data_time: 0.0588 memory: 3963 2022/07/28 11:14:18 - mmengine - INFO - Epoch(val) [100][220/310] eta: 0:00:19 time: 0.2175 data_time: 0.1125 memory: 3963 2022/07/28 11:14:21 - mmengine - INFO - Epoch(val) [100][240/310] eta: 0:00:10 time: 0.1519 data_time: 0.0459 memory: 3963 2022/07/28 11:14:25 - mmengine - INFO - Epoch(val) [100][260/310] eta: 0:00:10 time: 0.2097 data_time: 0.1057 memory: 3963 2022/07/28 11:14:29 - mmengine - INFO - Epoch(val) [100][280/310] eta: 0:00:05 time: 0.1697 data_time: 0.0653 memory: 3963 2022/07/28 11:14:32 - mmengine - INFO - Epoch(val) [100][300/310] eta: 0:00:01 time: 0.1457 data_time: 0.0448 memory: 3963 2022/07/28 11:14:34 - mmengine - INFO - Epoch(val) [100][310/310] acc/top1: 0.6093 acc/top5: 0.8359 acc/mean1: 0.6092 2022/07/28 11:14:35 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/best_acc/top1_epoch_81.pth is removed 2022/07/28 11:14:36 - mmengine - INFO - The best checkpoint with 0.6093 acc/top1 at 101 epoch is saved to best_acc/top1_epoch_101.pth. 2022/07/28 11:14:45 - mmengine - INFO - Epoch(train) [101][20/3757] lr: 4.1318e-03 eta: 1 day, 9:09:09 time: 0.4660 data_time: 0.0856 memory: 17007 grad_norm: 7.8104 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7708 loss: 1.7708 2022/07/28 11:14:54 - mmengine - INFO - Epoch(train) [101][40/3757] lr: 4.1318e-03 eta: 1 day, 9:09:01 time: 0.4035 data_time: 0.0203 memory: 17007 grad_norm: 7.4838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5674 loss: 1.5674 2022/07/28 11:15:02 - mmengine - INFO - Epoch(train) [101][60/3757] lr: 4.1318e-03 eta: 1 day, 9:08:53 time: 0.3986 data_time: 0.0175 memory: 17007 grad_norm: 7.5633 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6778 loss: 1.6778 2022/07/28 11:15:09 - mmengine - INFO - Epoch(train) [101][80/3757] lr: 4.1318e-03 eta: 1 day, 9:08:45 time: 0.3950 data_time: 0.0149 memory: 17007 grad_norm: 7.7339 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7960 loss: 1.7960 2022/07/28 11:15:17 - mmengine - INFO - Epoch(train) [101][100/3757] lr: 4.1318e-03 eta: 1 day, 9:08:37 time: 0.3973 data_time: 0.0141 memory: 17007 grad_norm: 7.6312 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7642 loss: 1.7642 2022/07/28 11:15:25 - mmengine - INFO - Epoch(train) [101][120/3757] lr: 4.1318e-03 eta: 1 day, 9:08:29 time: 0.3946 data_time: 0.0150 memory: 17007 grad_norm: 7.8794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7830 loss: 1.7830 2022/07/28 11:15:33 - mmengine - INFO - Epoch(train) [101][140/3757] lr: 4.1318e-03 eta: 1 day, 9:08:21 time: 0.3941 data_time: 0.0130 memory: 17007 grad_norm: 7.5702 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7281 loss: 1.7281 2022/07/28 11:15:41 - mmengine - INFO - Epoch(train) [101][160/3757] lr: 4.1318e-03 eta: 1 day, 9:08:13 time: 0.3967 data_time: 0.0179 memory: 17007 grad_norm: 8.0208 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0672 loss: 2.0672 2022/07/28 11:15:49 - mmengine - INFO - Epoch(train) [101][180/3757] lr: 4.1318e-03 eta: 1 day, 9:08:05 time: 0.3944 data_time: 0.0126 memory: 17007 grad_norm: 7.9784 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0187 loss: 2.0187 2022/07/28 11:15:57 - mmengine - INFO - Epoch(train) [101][200/3757] lr: 4.1318e-03 eta: 1 day, 9:07:57 time: 0.3973 data_time: 0.0171 memory: 17007 grad_norm: 7.8970 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8406 loss: 1.8406 2022/07/28 11:16:05 - mmengine - INFO - Epoch(train) [101][220/3757] lr: 4.1318e-03 eta: 1 day, 9:07:50 time: 0.3979 data_time: 0.0136 memory: 17007 grad_norm: 7.7412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9092 loss: 1.9092 2022/07/28 11:16:13 - mmengine - INFO - Epoch(train) [101][240/3757] lr: 4.1318e-03 eta: 1 day, 9:07:42 time: 0.3959 data_time: 0.0149 memory: 17007 grad_norm: 7.8686 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9466 loss: 1.9466 2022/07/28 11:16:21 - mmengine - INFO - Epoch(train) [101][260/3757] lr: 4.1318e-03 eta: 1 day, 9:07:34 time: 0.3958 data_time: 0.0147 memory: 17007 grad_norm: 7.4693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6368 loss: 1.6368 2022/07/28 11:16:29 - mmengine - INFO - Epoch(train) [101][280/3757] lr: 4.1318e-03 eta: 1 day, 9:07:26 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 7.8342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8935 loss: 1.8935 2022/07/28 11:16:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:16:37 - mmengine - INFO - Epoch(train) [101][300/3757] lr: 4.1318e-03 eta: 1 day, 9:07:18 time: 0.3941 data_time: 0.0130 memory: 17007 grad_norm: 7.8386 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7825 loss: 1.7825 2022/07/28 11:16:45 - mmengine - INFO - Epoch(train) [101][320/3757] lr: 4.1318e-03 eta: 1 day, 9:07:10 time: 0.3969 data_time: 0.0165 memory: 17007 grad_norm: 7.7504 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9610 loss: 1.9610 2022/07/28 11:16:52 - mmengine - INFO - Epoch(train) [101][340/3757] lr: 4.1318e-03 eta: 1 day, 9:07:02 time: 0.3940 data_time: 0.0135 memory: 17007 grad_norm: 7.9223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0444 loss: 2.0444 2022/07/28 11:17:00 - mmengine - INFO - Epoch(train) [101][360/3757] lr: 4.1318e-03 eta: 1 day, 9:06:54 time: 0.3997 data_time: 0.0149 memory: 17007 grad_norm: 8.0462 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8073 loss: 1.8073 2022/07/28 11:17:08 - mmengine - INFO - Epoch(train) [101][380/3757] lr: 4.1318e-03 eta: 1 day, 9:06:46 time: 0.3938 data_time: 0.0126 memory: 17007 grad_norm: 7.8862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8428 loss: 1.8428 2022/07/28 11:17:16 - mmengine - INFO - Epoch(train) [101][400/3757] lr: 4.1318e-03 eta: 1 day, 9:06:38 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 7.9523 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8670 loss: 1.8670 2022/07/28 11:17:24 - mmengine - INFO - Epoch(train) [101][420/3757] lr: 4.1318e-03 eta: 1 day, 9:06:30 time: 0.3959 data_time: 0.0149 memory: 17007 grad_norm: 7.5872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0136 loss: 2.0136 2022/07/28 11:17:32 - mmengine - INFO - Epoch(train) [101][440/3757] lr: 4.1318e-03 eta: 1 day, 9:06:22 time: 0.3967 data_time: 0.0162 memory: 17007 grad_norm: 7.9343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3937 loss: 2.3937 2022/07/28 11:17:40 - mmengine - INFO - Epoch(train) [101][460/3757] lr: 4.1318e-03 eta: 1 day, 9:06:14 time: 0.4010 data_time: 0.0161 memory: 17007 grad_norm: 7.4018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7789 loss: 1.7789 2022/07/28 11:17:48 - mmengine - INFO - Epoch(train) [101][480/3757] lr: 4.1318e-03 eta: 1 day, 9:06:06 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 7.9138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8036 loss: 1.8036 2022/07/28 11:17:56 - mmengine - INFO - Epoch(train) [101][500/3757] lr: 4.1318e-03 eta: 1 day, 9:05:58 time: 0.3934 data_time: 0.0149 memory: 17007 grad_norm: 7.5624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9405 loss: 1.9405 2022/07/28 11:18:04 - mmengine - INFO - Epoch(train) [101][520/3757] lr: 4.1318e-03 eta: 1 day, 9:05:50 time: 0.4032 data_time: 0.0153 memory: 17007 grad_norm: 8.0159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8651 loss: 1.8651 2022/07/28 11:18:12 - mmengine - INFO - Epoch(train) [101][540/3757] lr: 4.1318e-03 eta: 1 day, 9:05:42 time: 0.3935 data_time: 0.0129 memory: 17007 grad_norm: 7.9475 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2368 loss: 2.2368 2022/07/28 11:18:20 - mmengine - INFO - Epoch(train) [101][560/3757] lr: 4.1318e-03 eta: 1 day, 9:05:34 time: 0.3999 data_time: 0.0174 memory: 17007 grad_norm: 7.9415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8145 loss: 1.8145 2022/07/28 11:18:28 - mmengine - INFO - Epoch(train) [101][580/3757] lr: 4.1318e-03 eta: 1 day, 9:05:26 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 7.8179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9323 loss: 1.9323 2022/07/28 11:18:36 - mmengine - INFO - Epoch(train) [101][600/3757] lr: 4.1318e-03 eta: 1 day, 9:05:18 time: 0.3947 data_time: 0.0153 memory: 17007 grad_norm: 7.6042 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6945 loss: 1.6945 2022/07/28 11:18:44 - mmengine - INFO - Epoch(train) [101][620/3757] lr: 4.1318e-03 eta: 1 day, 9:05:10 time: 0.3957 data_time: 0.0161 memory: 17007 grad_norm: 7.7765 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8750 loss: 1.8750 2022/07/28 11:18:52 - mmengine - INFO - Epoch(train) [101][640/3757] lr: 4.1318e-03 eta: 1 day, 9:05:02 time: 0.3985 data_time: 0.0171 memory: 17007 grad_norm: 7.5949 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7719 loss: 1.7719 2022/07/28 11:19:00 - mmengine - INFO - Epoch(train) [101][660/3757] lr: 4.1318e-03 eta: 1 day, 9:04:54 time: 0.3946 data_time: 0.0138 memory: 17007 grad_norm: 7.7184 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0844 loss: 2.0844 2022/07/28 11:19:08 - mmengine - INFO - Epoch(train) [101][680/3757] lr: 4.1318e-03 eta: 1 day, 9:04:47 time: 0.4017 data_time: 0.0165 memory: 17007 grad_norm: 7.5537 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8279 loss: 1.8279 2022/07/28 11:19:16 - mmengine - INFO - Epoch(train) [101][700/3757] lr: 4.1318e-03 eta: 1 day, 9:04:39 time: 0.3953 data_time: 0.0125 memory: 17007 grad_norm: 7.9895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8074 loss: 1.8074 2022/07/28 11:19:23 - mmengine - INFO - Epoch(train) [101][720/3757] lr: 4.1318e-03 eta: 1 day, 9:04:31 time: 0.3957 data_time: 0.0163 memory: 17007 grad_norm: 7.5353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6654 loss: 1.6654 2022/07/28 11:19:31 - mmengine - INFO - Epoch(train) [101][740/3757] lr: 4.1318e-03 eta: 1 day, 9:04:23 time: 0.4006 data_time: 0.0135 memory: 17007 grad_norm: 8.0445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9891 loss: 1.9891 2022/07/28 11:19:39 - mmengine - INFO - Epoch(train) [101][760/3757] lr: 4.1318e-03 eta: 1 day, 9:04:15 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 8.2599 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7074 loss: 1.7074 2022/07/28 11:19:47 - mmengine - INFO - Epoch(train) [101][780/3757] lr: 4.1318e-03 eta: 1 day, 9:04:07 time: 0.3933 data_time: 0.0131 memory: 17007 grad_norm: 7.7709 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6845 loss: 1.6845 2022/07/28 11:19:55 - mmengine - INFO - Epoch(train) [101][800/3757] lr: 4.1318e-03 eta: 1 day, 9:03:59 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 7.6281 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7866 loss: 1.7866 2022/07/28 11:20:03 - mmengine - INFO - Epoch(train) [101][820/3757] lr: 4.1318e-03 eta: 1 day, 9:03:51 time: 0.3952 data_time: 0.0150 memory: 17007 grad_norm: 7.7574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2470 loss: 2.2470 2022/07/28 11:20:11 - mmengine - INFO - Epoch(train) [101][840/3757] lr: 4.1318e-03 eta: 1 day, 9:03:43 time: 0.3946 data_time: 0.0161 memory: 17007 grad_norm: 7.7565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5553 loss: 1.5553 2022/07/28 11:20:19 - mmengine - INFO - Epoch(train) [101][860/3757] lr: 4.1318e-03 eta: 1 day, 9:03:35 time: 0.3932 data_time: 0.0134 memory: 17007 grad_norm: 7.8722 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8835 loss: 1.8835 2022/07/28 11:20:27 - mmengine - INFO - Epoch(train) [101][880/3757] lr: 4.1318e-03 eta: 1 day, 9:03:27 time: 0.3956 data_time: 0.0164 memory: 17007 grad_norm: 8.0200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8847 loss: 1.8847 2022/07/28 11:20:35 - mmengine - INFO - Epoch(train) [101][900/3757] lr: 4.1318e-03 eta: 1 day, 9:03:19 time: 0.3995 data_time: 0.0145 memory: 17007 grad_norm: 8.0001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8264 loss: 1.8264 2022/07/28 11:20:43 - mmengine - INFO - Epoch(train) [101][920/3757] lr: 4.1318e-03 eta: 1 day, 9:03:11 time: 0.3940 data_time: 0.0145 memory: 17007 grad_norm: 7.7905 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8815 loss: 1.8815 2022/07/28 11:20:51 - mmengine - INFO - Epoch(train) [101][940/3757] lr: 4.1318e-03 eta: 1 day, 9:03:03 time: 0.3977 data_time: 0.0142 memory: 17007 grad_norm: 7.8720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8200 loss: 1.8200 2022/07/28 11:20:59 - mmengine - INFO - Epoch(train) [101][960/3757] lr: 4.1318e-03 eta: 1 day, 9:02:55 time: 0.3932 data_time: 0.0151 memory: 17007 grad_norm: 8.1775 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9464 loss: 1.9464 2022/07/28 11:21:06 - mmengine - INFO - Epoch(train) [101][980/3757] lr: 4.1318e-03 eta: 1 day, 9:02:47 time: 0.3942 data_time: 0.0137 memory: 17007 grad_norm: 8.2216 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9196 loss: 1.9196 2022/07/28 11:21:14 - mmengine - INFO - Epoch(train) [101][1000/3757] lr: 4.1318e-03 eta: 1 day, 9:02:39 time: 0.4010 data_time: 0.0160 memory: 17007 grad_norm: 8.1973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9322 loss: 1.9322 2022/07/28 11:21:22 - mmengine - INFO - Epoch(train) [101][1020/3757] lr: 4.1318e-03 eta: 1 day, 9:02:31 time: 0.3939 data_time: 0.0127 memory: 17007 grad_norm: 7.9776 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1413 loss: 2.1413 2022/07/28 11:21:30 - mmengine - INFO - Epoch(train) [101][1040/3757] lr: 4.1318e-03 eta: 1 day, 9:02:23 time: 0.3969 data_time: 0.0171 memory: 17007 grad_norm: 7.9118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8335 loss: 1.8335 2022/07/28 11:21:38 - mmengine - INFO - Epoch(train) [101][1060/3757] lr: 4.1318e-03 eta: 1 day, 9:02:15 time: 0.3929 data_time: 0.0141 memory: 17007 grad_norm: 7.7695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7467 loss: 1.7467 2022/07/28 11:21:46 - mmengine - INFO - Epoch(train) [101][1080/3757] lr: 4.1318e-03 eta: 1 day, 9:02:07 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 7.9820 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9735 loss: 1.9735 2022/07/28 11:21:54 - mmengine - INFO - Epoch(train) [101][1100/3757] lr: 4.1318e-03 eta: 1 day, 9:01:59 time: 0.4025 data_time: 0.0141 memory: 17007 grad_norm: 8.0673 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8658 loss: 1.8658 2022/07/28 11:22:02 - mmengine - INFO - Epoch(train) [101][1120/3757] lr: 4.1318e-03 eta: 1 day, 9:01:51 time: 0.3963 data_time: 0.0168 memory: 17007 grad_norm: 7.8693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9113 loss: 1.9113 2022/07/28 11:22:10 - mmengine - INFO - Epoch(train) [101][1140/3757] lr: 4.1318e-03 eta: 1 day, 9:01:44 time: 0.3984 data_time: 0.0155 memory: 17007 grad_norm: 8.0940 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8168 loss: 1.8168 2022/07/28 11:22:18 - mmengine - INFO - Epoch(train) [101][1160/3757] lr: 4.1318e-03 eta: 1 day, 9:01:36 time: 0.3943 data_time: 0.0158 memory: 17007 grad_norm: 7.9828 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3594 loss: 2.3594 2022/07/28 11:22:26 - mmengine - INFO - Epoch(train) [101][1180/3757] lr: 4.1318e-03 eta: 1 day, 9:01:28 time: 0.3919 data_time: 0.0126 memory: 17007 grad_norm: 7.5692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6446 loss: 1.6446 2022/07/28 11:22:34 - mmengine - INFO - Epoch(train) [101][1200/3757] lr: 4.1318e-03 eta: 1 day, 9:01:20 time: 0.3950 data_time: 0.0162 memory: 17007 grad_norm: 7.8446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1414 loss: 2.1414 2022/07/28 11:22:42 - mmengine - INFO - Epoch(train) [101][1220/3757] lr: 4.1318e-03 eta: 1 day, 9:01:12 time: 0.4069 data_time: 0.0147 memory: 17007 grad_norm: 7.7694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8190 loss: 1.8190 2022/07/28 11:22:50 - mmengine - INFO - Epoch(train) [101][1240/3757] lr: 4.1318e-03 eta: 1 day, 9:01:04 time: 0.4065 data_time: 0.0162 memory: 17007 grad_norm: 7.6994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9362 loss: 1.9362 2022/07/28 11:22:58 - mmengine - INFO - Epoch(train) [101][1260/3757] lr: 4.1318e-03 eta: 1 day, 9:00:56 time: 0.3941 data_time: 0.0125 memory: 17007 grad_norm: 8.1394 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8453 loss: 1.8453 2022/07/28 11:23:06 - mmengine - INFO - Epoch(train) [101][1280/3757] lr: 4.1318e-03 eta: 1 day, 9:00:48 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 7.7351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6597 loss: 1.6597 2022/07/28 11:23:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:23:14 - mmengine - INFO - Epoch(train) [101][1300/3757] lr: 4.1318e-03 eta: 1 day, 9:00:40 time: 0.4028 data_time: 0.0155 memory: 17007 grad_norm: 7.9126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8080 loss: 1.8080 2022/07/28 11:23:22 - mmengine - INFO - Epoch(train) [101][1320/3757] lr: 4.1318e-03 eta: 1 day, 9:00:32 time: 0.4003 data_time: 0.0168 memory: 17007 grad_norm: 7.9588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0139 loss: 2.0139 2022/07/28 11:23:30 - mmengine - INFO - Epoch(train) [101][1340/3757] lr: 4.1318e-03 eta: 1 day, 9:00:25 time: 0.4093 data_time: 0.0151 memory: 17007 grad_norm: 8.0727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0109 loss: 2.0109 2022/07/28 11:23:38 - mmengine - INFO - Epoch(train) [101][1360/3757] lr: 4.1318e-03 eta: 1 day, 9:00:17 time: 0.3972 data_time: 0.0166 memory: 17007 grad_norm: 7.7009 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6099 loss: 1.6099 2022/07/28 11:23:46 - mmengine - INFO - Epoch(train) [101][1380/3757] lr: 4.1318e-03 eta: 1 day, 9:00:09 time: 0.3938 data_time: 0.0141 memory: 17007 grad_norm: 7.8308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7151 loss: 1.7151 2022/07/28 11:23:54 - mmengine - INFO - Epoch(train) [101][1400/3757] lr: 4.1318e-03 eta: 1 day, 9:00:01 time: 0.3947 data_time: 0.0154 memory: 17007 grad_norm: 7.9265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4915 loss: 1.4915 2022/07/28 11:24:02 - mmengine - INFO - Epoch(train) [101][1420/3757] lr: 4.1318e-03 eta: 1 day, 8:59:53 time: 0.3944 data_time: 0.0135 memory: 17007 grad_norm: 7.5374 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7737 loss: 1.7737 2022/07/28 11:24:10 - mmengine - INFO - Epoch(train) [101][1440/3757] lr: 4.1318e-03 eta: 1 day, 8:59:45 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 7.7419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5382 loss: 1.5382 2022/07/28 11:24:18 - mmengine - INFO - Epoch(train) [101][1460/3757] lr: 4.1318e-03 eta: 1 day, 8:59:37 time: 0.3947 data_time: 0.0130 memory: 17007 grad_norm: 8.2078 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1332 loss: 2.1332 2022/07/28 11:24:26 - mmengine - INFO - Epoch(train) [101][1480/3757] lr: 4.1318e-03 eta: 1 day, 8:59:29 time: 0.3970 data_time: 0.0171 memory: 17007 grad_norm: 7.9048 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9285 loss: 1.9285 2022/07/28 11:24:34 - mmengine - INFO - Epoch(train) [101][1500/3757] lr: 4.1318e-03 eta: 1 day, 8:59:21 time: 0.3978 data_time: 0.0137 memory: 17007 grad_norm: 7.9686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9017 loss: 1.9017 2022/07/28 11:24:41 - mmengine - INFO - Epoch(train) [101][1520/3757] lr: 4.1318e-03 eta: 1 day, 8:59:13 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 7.8832 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6259 loss: 1.6259 2022/07/28 11:24:49 - mmengine - INFO - Epoch(train) [101][1540/3757] lr: 4.1318e-03 eta: 1 day, 8:59:05 time: 0.3978 data_time: 0.0165 memory: 17007 grad_norm: 7.6150 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7120 loss: 1.7120 2022/07/28 11:24:57 - mmengine - INFO - Epoch(train) [101][1560/3757] lr: 4.1318e-03 eta: 1 day, 8:58:57 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 7.8413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6754 loss: 1.6754 2022/07/28 11:25:05 - mmengine - INFO - Epoch(train) [101][1580/3757] lr: 4.1318e-03 eta: 1 day, 8:58:49 time: 0.3968 data_time: 0.0132 memory: 17007 grad_norm: 7.9112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8253 loss: 1.8253 2022/07/28 11:25:13 - mmengine - INFO - Epoch(train) [101][1600/3757] lr: 4.1318e-03 eta: 1 day, 8:58:41 time: 0.4043 data_time: 0.0160 memory: 17007 grad_norm: 7.8201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6310 loss: 1.6310 2022/07/28 11:25:21 - mmengine - INFO - Epoch(train) [101][1620/3757] lr: 4.1318e-03 eta: 1 day, 8:58:33 time: 0.3954 data_time: 0.0141 memory: 17007 grad_norm: 7.8869 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9795 loss: 1.9795 2022/07/28 11:25:29 - mmengine - INFO - Epoch(train) [101][1640/3757] lr: 4.1318e-03 eta: 1 day, 8:58:25 time: 0.4058 data_time: 0.0165 memory: 17007 grad_norm: 7.8506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7719 loss: 1.7719 2022/07/28 11:25:37 - mmengine - INFO - Epoch(train) [101][1660/3757] lr: 4.1318e-03 eta: 1 day, 8:58:17 time: 0.3936 data_time: 0.0128 memory: 17007 grad_norm: 7.9291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7977 loss: 1.7977 2022/07/28 11:25:45 - mmengine - INFO - Epoch(train) [101][1680/3757] lr: 4.1318e-03 eta: 1 day, 8:58:10 time: 0.4027 data_time: 0.0162 memory: 17007 grad_norm: 7.7845 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9224 loss: 1.9224 2022/07/28 11:25:53 - mmengine - INFO - Epoch(train) [101][1700/3757] lr: 4.1318e-03 eta: 1 day, 8:58:02 time: 0.4016 data_time: 0.0132 memory: 17007 grad_norm: 7.8988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8591 loss: 1.8591 2022/07/28 11:26:01 - mmengine - INFO - Epoch(train) [101][1720/3757] lr: 4.1318e-03 eta: 1 day, 8:57:54 time: 0.3984 data_time: 0.0173 memory: 17007 grad_norm: 7.8442 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9033 loss: 1.9033 2022/07/28 11:26:09 - mmengine - INFO - Epoch(train) [101][1740/3757] lr: 4.1318e-03 eta: 1 day, 8:57:46 time: 0.3943 data_time: 0.0127 memory: 17007 grad_norm: 7.7745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0696 loss: 2.0696 2022/07/28 11:26:17 - mmengine - INFO - Epoch(train) [101][1760/3757] lr: 4.1318e-03 eta: 1 day, 8:57:38 time: 0.3943 data_time: 0.0146 memory: 17007 grad_norm: 7.7073 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9482 loss: 1.9482 2022/07/28 11:26:25 - mmengine - INFO - Epoch(train) [101][1780/3757] lr: 4.1318e-03 eta: 1 day, 8:57:30 time: 0.3964 data_time: 0.0135 memory: 17007 grad_norm: 7.9205 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0879 loss: 2.0879 2022/07/28 11:26:33 - mmengine - INFO - Epoch(train) [101][1800/3757] lr: 4.1318e-03 eta: 1 day, 8:57:22 time: 0.4068 data_time: 0.0156 memory: 17007 grad_norm: 7.9448 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8742 loss: 1.8742 2022/07/28 11:26:41 - mmengine - INFO - Epoch(train) [101][1820/3757] lr: 4.1318e-03 eta: 1 day, 8:57:14 time: 0.3987 data_time: 0.0141 memory: 17007 grad_norm: 8.0402 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6974 loss: 1.6974 2022/07/28 11:26:49 - mmengine - INFO - Epoch(train) [101][1840/3757] lr: 4.1318e-03 eta: 1 day, 8:57:06 time: 0.3964 data_time: 0.0154 memory: 17007 grad_norm: 8.0124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8877 loss: 1.8877 2022/07/28 11:26:57 - mmengine - INFO - Epoch(train) [101][1860/3757] lr: 4.1318e-03 eta: 1 day, 8:56:58 time: 0.3931 data_time: 0.0133 memory: 17007 grad_norm: 7.7255 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7763 loss: 1.7763 2022/07/28 11:27:05 - mmengine - INFO - Epoch(train) [101][1880/3757] lr: 4.1318e-03 eta: 1 day, 8:56:50 time: 0.3985 data_time: 0.0166 memory: 17007 grad_norm: 8.1072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6068 loss: 1.6068 2022/07/28 11:27:13 - mmengine - INFO - Epoch(train) [101][1900/3757] lr: 4.1318e-03 eta: 1 day, 8:56:42 time: 0.3930 data_time: 0.0132 memory: 17007 grad_norm: 7.8917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8673 loss: 1.8673 2022/07/28 11:27:21 - mmengine - INFO - Epoch(train) [101][1920/3757] lr: 4.1318e-03 eta: 1 day, 8:56:34 time: 0.4049 data_time: 0.0170 memory: 17007 grad_norm: 7.7554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8855 loss: 1.8855 2022/07/28 11:27:29 - mmengine - INFO - Epoch(train) [101][1940/3757] lr: 4.1318e-03 eta: 1 day, 8:56:26 time: 0.3939 data_time: 0.0132 memory: 17007 grad_norm: 7.8404 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9481 loss: 1.9481 2022/07/28 11:27:37 - mmengine - INFO - Epoch(train) [101][1960/3757] lr: 4.1318e-03 eta: 1 day, 8:56:18 time: 0.3961 data_time: 0.0162 memory: 17007 grad_norm: 8.1485 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7367 loss: 1.7367 2022/07/28 11:27:45 - mmengine - INFO - Epoch(train) [101][1980/3757] lr: 4.1318e-03 eta: 1 day, 8:56:11 time: 0.4080 data_time: 0.0145 memory: 17007 grad_norm: 7.4513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8072 loss: 1.8072 2022/07/28 11:27:53 - mmengine - INFO - Epoch(train) [101][2000/3757] lr: 4.1318e-03 eta: 1 day, 8:56:03 time: 0.3965 data_time: 0.0165 memory: 17007 grad_norm: 7.8628 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0743 loss: 2.0743 2022/07/28 11:28:01 - mmengine - INFO - Epoch(train) [101][2020/3757] lr: 4.1318e-03 eta: 1 day, 8:55:55 time: 0.3998 data_time: 0.0156 memory: 17007 grad_norm: 7.9257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0068 loss: 2.0068 2022/07/28 11:28:09 - mmengine - INFO - Epoch(train) [101][2040/3757] lr: 4.1318e-03 eta: 1 day, 8:55:47 time: 0.4188 data_time: 0.0159 memory: 17007 grad_norm: 7.9699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9508 loss: 1.9508 2022/07/28 11:28:17 - mmengine - INFO - Epoch(train) [101][2060/3757] lr: 4.1318e-03 eta: 1 day, 8:55:39 time: 0.3932 data_time: 0.0130 memory: 17007 grad_norm: 7.8479 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9960 loss: 1.9960 2022/07/28 11:28:25 - mmengine - INFO - Epoch(train) [101][2080/3757] lr: 4.1318e-03 eta: 1 day, 8:55:31 time: 0.3996 data_time: 0.0180 memory: 17007 grad_norm: 7.6076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8805 loss: 1.8805 2022/07/28 11:28:33 - mmengine - INFO - Epoch(train) [101][2100/3757] lr: 4.1318e-03 eta: 1 day, 8:55:23 time: 0.3960 data_time: 0.0147 memory: 17007 grad_norm: 8.0078 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7314 loss: 1.7314 2022/07/28 11:28:41 - mmengine - INFO - Epoch(train) [101][2120/3757] lr: 4.1318e-03 eta: 1 day, 8:55:16 time: 0.4063 data_time: 0.0159 memory: 17007 grad_norm: 7.8534 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8448 loss: 1.8448 2022/07/28 11:28:49 - mmengine - INFO - Epoch(train) [101][2140/3757] lr: 4.1318e-03 eta: 1 day, 8:55:08 time: 0.3968 data_time: 0.0156 memory: 17007 grad_norm: 7.9832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6132 loss: 1.6132 2022/07/28 11:28:57 - mmengine - INFO - Epoch(train) [101][2160/3757] lr: 4.1318e-03 eta: 1 day, 8:55:00 time: 0.3944 data_time: 0.0173 memory: 17007 grad_norm: 7.9440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8482 loss: 1.8482 2022/07/28 11:29:05 - mmengine - INFO - Epoch(train) [101][2180/3757] lr: 4.1318e-03 eta: 1 day, 8:54:52 time: 0.3968 data_time: 0.0135 memory: 17007 grad_norm: 7.8835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9554 loss: 1.9554 2022/07/28 11:29:13 - mmengine - INFO - Epoch(train) [101][2200/3757] lr: 4.1318e-03 eta: 1 day, 8:54:44 time: 0.3955 data_time: 0.0169 memory: 17007 grad_norm: 7.9126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8437 loss: 1.8437 2022/07/28 11:29:21 - mmengine - INFO - Epoch(train) [101][2220/3757] lr: 4.1318e-03 eta: 1 day, 8:54:36 time: 0.3980 data_time: 0.0160 memory: 17007 grad_norm: 7.7132 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1143 loss: 2.1143 2022/07/28 11:29:29 - mmengine - INFO - Epoch(train) [101][2240/3757] lr: 4.1318e-03 eta: 1 day, 8:54:28 time: 0.3967 data_time: 0.0170 memory: 17007 grad_norm: 7.7302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7097 loss: 1.7097 2022/07/28 11:29:37 - mmengine - INFO - Epoch(train) [101][2260/3757] lr: 4.1318e-03 eta: 1 day, 8:54:20 time: 0.3936 data_time: 0.0134 memory: 17007 grad_norm: 7.9476 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7212 loss: 1.7212 2022/07/28 11:29:45 - mmengine - INFO - Epoch(train) [101][2280/3757] lr: 4.1318e-03 eta: 1 day, 8:54:12 time: 0.3989 data_time: 0.0151 memory: 17007 grad_norm: 7.9381 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8803 loss: 1.8803 2022/07/28 11:29:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:29:53 - mmengine - INFO - Epoch(train) [101][2300/3757] lr: 4.1318e-03 eta: 1 day, 8:54:04 time: 0.3947 data_time: 0.0146 memory: 17007 grad_norm: 7.8448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7466 loss: 1.7466 2022/07/28 11:30:01 - mmengine - INFO - Epoch(train) [101][2320/3757] lr: 4.1318e-03 eta: 1 day, 8:53:56 time: 0.4010 data_time: 0.0162 memory: 17007 grad_norm: 8.0214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9087 loss: 1.9087 2022/07/28 11:30:09 - mmengine - INFO - Epoch(train) [101][2340/3757] lr: 4.1318e-03 eta: 1 day, 8:53:48 time: 0.3998 data_time: 0.0134 memory: 17007 grad_norm: 7.8416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8098 loss: 1.8098 2022/07/28 11:30:17 - mmengine - INFO - Epoch(train) [101][2360/3757] lr: 4.1318e-03 eta: 1 day, 8:53:40 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 7.8334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8648 loss: 1.8648 2022/07/28 11:30:25 - mmengine - INFO - Epoch(train) [101][2380/3757] lr: 4.1318e-03 eta: 1 day, 8:53:32 time: 0.3971 data_time: 0.0125 memory: 17007 grad_norm: 7.8180 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9717 loss: 1.9717 2022/07/28 11:30:33 - mmengine - INFO - Epoch(train) [101][2400/3757] lr: 4.1318e-03 eta: 1 day, 8:53:24 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 7.3627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6709 loss: 1.6709 2022/07/28 11:30:40 - mmengine - INFO - Epoch(train) [101][2420/3757] lr: 4.1318e-03 eta: 1 day, 8:53:16 time: 0.3973 data_time: 0.0144 memory: 17007 grad_norm: 7.9729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9918 loss: 1.9918 2022/07/28 11:30:48 - mmengine - INFO - Epoch(train) [101][2440/3757] lr: 4.1318e-03 eta: 1 day, 8:53:08 time: 0.3956 data_time: 0.0161 memory: 17007 grad_norm: 7.8382 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7181 loss: 1.7181 2022/07/28 11:30:56 - mmengine - INFO - Epoch(train) [101][2460/3757] lr: 4.1318e-03 eta: 1 day, 8:53:00 time: 0.4026 data_time: 0.0128 memory: 17007 grad_norm: 8.1405 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9763 loss: 1.9763 2022/07/28 11:31:04 - mmengine - INFO - Epoch(train) [101][2480/3757] lr: 4.1318e-03 eta: 1 day, 8:52:53 time: 0.3966 data_time: 0.0161 memory: 17007 grad_norm: 7.9772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8287 loss: 1.8287 2022/07/28 11:31:12 - mmengine - INFO - Epoch(train) [101][2500/3757] lr: 4.1318e-03 eta: 1 day, 8:52:45 time: 0.3978 data_time: 0.0133 memory: 17007 grad_norm: 7.9477 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8290 loss: 1.8290 2022/07/28 11:31:20 - mmengine - INFO - Epoch(train) [101][2520/3757] lr: 4.1318e-03 eta: 1 day, 8:52:37 time: 0.3986 data_time: 0.0178 memory: 17007 grad_norm: 7.9039 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8341 loss: 1.8341 2022/07/28 11:31:28 - mmengine - INFO - Epoch(train) [101][2540/3757] lr: 4.1318e-03 eta: 1 day, 8:52:29 time: 0.3937 data_time: 0.0143 memory: 17007 grad_norm: 7.8253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9852 loss: 1.9852 2022/07/28 11:31:36 - mmengine - INFO - Epoch(train) [101][2560/3757] lr: 4.1318e-03 eta: 1 day, 8:52:21 time: 0.3981 data_time: 0.0170 memory: 17007 grad_norm: 8.0352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6919 loss: 1.6919 2022/07/28 11:31:44 - mmengine - INFO - Epoch(train) [101][2580/3757] lr: 4.1318e-03 eta: 1 day, 8:52:13 time: 0.3980 data_time: 0.0132 memory: 17007 grad_norm: 8.1401 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6742 loss: 1.6742 2022/07/28 11:31:52 - mmengine - INFO - Epoch(train) [101][2600/3757] lr: 4.1318e-03 eta: 1 day, 8:52:05 time: 0.4097 data_time: 0.0168 memory: 17007 grad_norm: 7.9444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1044 loss: 2.1044 2022/07/28 11:32:00 - mmengine - INFO - Epoch(train) [101][2620/3757] lr: 4.1318e-03 eta: 1 day, 8:51:57 time: 0.3946 data_time: 0.0134 memory: 17007 grad_norm: 7.9095 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1795 loss: 2.1795 2022/07/28 11:32:08 - mmengine - INFO - Epoch(train) [101][2640/3757] lr: 4.1318e-03 eta: 1 day, 8:51:49 time: 0.3950 data_time: 0.0161 memory: 17007 grad_norm: 8.0508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9840 loss: 1.9840 2022/07/28 11:32:16 - mmengine - INFO - Epoch(train) [101][2660/3757] lr: 4.1318e-03 eta: 1 day, 8:51:41 time: 0.3966 data_time: 0.0139 memory: 17007 grad_norm: 8.0126 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9998 loss: 1.9998 2022/07/28 11:32:24 - mmengine - INFO - Epoch(train) [101][2680/3757] lr: 4.1318e-03 eta: 1 day, 8:51:33 time: 0.3973 data_time: 0.0153 memory: 17007 grad_norm: 8.2891 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8109 loss: 1.8109 2022/07/28 11:32:32 - mmengine - INFO - Epoch(train) [101][2700/3757] lr: 4.1318e-03 eta: 1 day, 8:51:25 time: 0.3950 data_time: 0.0120 memory: 17007 grad_norm: 8.0449 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7234 loss: 1.7234 2022/07/28 11:32:40 - mmengine - INFO - Epoch(train) [101][2720/3757] lr: 4.1318e-03 eta: 1 day, 8:51:17 time: 0.3954 data_time: 0.0155 memory: 17007 grad_norm: 7.9612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1173 loss: 2.1173 2022/07/28 11:32:48 - mmengine - INFO - Epoch(train) [101][2740/3757] lr: 4.1318e-03 eta: 1 day, 8:51:09 time: 0.3930 data_time: 0.0126 memory: 17007 grad_norm: 8.2169 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8621 loss: 1.8621 2022/07/28 11:32:56 - mmengine - INFO - Epoch(train) [101][2760/3757] lr: 4.1318e-03 eta: 1 day, 8:51:01 time: 0.3950 data_time: 0.0161 memory: 17007 grad_norm: 7.8863 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8342 loss: 1.8342 2022/07/28 11:33:04 - mmengine - INFO - Epoch(train) [101][2780/3757] lr: 4.1318e-03 eta: 1 day, 8:50:53 time: 0.3937 data_time: 0.0129 memory: 17007 grad_norm: 7.8376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7610 loss: 1.7610 2022/07/28 11:33:12 - mmengine - INFO - Epoch(train) [101][2800/3757] lr: 4.1318e-03 eta: 1 day, 8:50:45 time: 0.4037 data_time: 0.0165 memory: 17007 grad_norm: 7.6615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1300 loss: 2.1300 2022/07/28 11:33:20 - mmengine - INFO - Epoch(train) [101][2820/3757] lr: 4.1318e-03 eta: 1 day, 8:50:37 time: 0.3945 data_time: 0.0129 memory: 17007 grad_norm: 7.8921 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5962 loss: 1.5962 2022/07/28 11:33:28 - mmengine - INFO - Epoch(train) [101][2840/3757] lr: 4.1318e-03 eta: 1 day, 8:50:29 time: 0.3950 data_time: 0.0159 memory: 17007 grad_norm: 8.2583 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9779 loss: 1.9779 2022/07/28 11:33:35 - mmengine - INFO - Epoch(train) [101][2860/3757] lr: 4.1318e-03 eta: 1 day, 8:50:22 time: 0.3963 data_time: 0.0160 memory: 17007 grad_norm: 7.9312 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6806 loss: 1.6806 2022/07/28 11:33:43 - mmengine - INFO - Epoch(train) [101][2880/3757] lr: 4.1318e-03 eta: 1 day, 8:50:14 time: 0.3958 data_time: 0.0149 memory: 17007 grad_norm: 8.0223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6526 loss: 1.6526 2022/07/28 11:33:51 - mmengine - INFO - Epoch(train) [101][2900/3757] lr: 4.1318e-03 eta: 1 day, 8:50:06 time: 0.3955 data_time: 0.0152 memory: 17007 grad_norm: 8.1672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7107 loss: 1.7107 2022/07/28 11:33:59 - mmengine - INFO - Epoch(train) [101][2920/3757] lr: 4.1318e-03 eta: 1 day, 8:49:58 time: 0.3994 data_time: 0.0160 memory: 17007 grad_norm: 7.5964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0018 loss: 2.0018 2022/07/28 11:34:07 - mmengine - INFO - Epoch(train) [101][2940/3757] lr: 4.1318e-03 eta: 1 day, 8:49:50 time: 0.3922 data_time: 0.0139 memory: 17007 grad_norm: 7.8589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7615 loss: 1.7615 2022/07/28 11:34:15 - mmengine - INFO - Epoch(train) [101][2960/3757] lr: 4.1318e-03 eta: 1 day, 8:49:42 time: 0.4004 data_time: 0.0161 memory: 17007 grad_norm: 8.0417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9385 loss: 1.9385 2022/07/28 11:34:23 - mmengine - INFO - Epoch(train) [101][2980/3757] lr: 4.1318e-03 eta: 1 day, 8:49:34 time: 0.3944 data_time: 0.0131 memory: 17007 grad_norm: 8.0239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8216 loss: 1.8216 2022/07/28 11:34:31 - mmengine - INFO - Epoch(train) [101][3000/3757] lr: 4.1318e-03 eta: 1 day, 8:49:26 time: 0.3981 data_time: 0.0181 memory: 17007 grad_norm: 7.6141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4906 loss: 1.4906 2022/07/28 11:34:39 - mmengine - INFO - Epoch(train) [101][3020/3757] lr: 4.1318e-03 eta: 1 day, 8:49:18 time: 0.3930 data_time: 0.0144 memory: 17007 grad_norm: 7.7660 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0314 loss: 2.0314 2022/07/28 11:34:47 - mmengine - INFO - Epoch(train) [101][3040/3757] lr: 4.1318e-03 eta: 1 day, 8:49:10 time: 0.3963 data_time: 0.0154 memory: 17007 grad_norm: 8.0270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0884 loss: 2.0884 2022/07/28 11:34:55 - mmengine - INFO - Epoch(train) [101][3060/3757] lr: 4.1318e-03 eta: 1 day, 8:49:02 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 7.7854 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7167 loss: 1.7167 2022/07/28 11:35:03 - mmengine - INFO - Epoch(train) [101][3080/3757] lr: 4.1318e-03 eta: 1 day, 8:48:54 time: 0.3950 data_time: 0.0156 memory: 17007 grad_norm: 8.0158 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6819 loss: 1.6819 2022/07/28 11:35:11 - mmengine - INFO - Epoch(train) [101][3100/3757] lr: 4.1318e-03 eta: 1 day, 8:48:46 time: 0.3999 data_time: 0.0177 memory: 17007 grad_norm: 7.9891 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1203 loss: 2.1203 2022/07/28 11:35:19 - mmengine - INFO - Epoch(train) [101][3120/3757] lr: 4.1318e-03 eta: 1 day, 8:48:38 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 7.6544 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8388 loss: 1.8388 2022/07/28 11:35:27 - mmengine - INFO - Epoch(train) [101][3140/3757] lr: 4.1318e-03 eta: 1 day, 8:48:30 time: 0.3940 data_time: 0.0146 memory: 17007 grad_norm: 7.6518 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5676 loss: 1.5676 2022/07/28 11:35:34 - mmengine - INFO - Epoch(train) [101][3160/3757] lr: 4.1318e-03 eta: 1 day, 8:48:22 time: 0.3961 data_time: 0.0151 memory: 17007 grad_norm: 7.5896 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0174 loss: 2.0174 2022/07/28 11:35:42 - mmengine - INFO - Epoch(train) [101][3180/3757] lr: 4.1318e-03 eta: 1 day, 8:48:14 time: 0.3945 data_time: 0.0140 memory: 17007 grad_norm: 7.5582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4874 loss: 1.4874 2022/07/28 11:35:50 - mmengine - INFO - Epoch(train) [101][3200/3757] lr: 4.1318e-03 eta: 1 day, 8:48:06 time: 0.3950 data_time: 0.0164 memory: 17007 grad_norm: 8.1774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9453 loss: 1.9453 2022/07/28 11:35:58 - mmengine - INFO - Epoch(train) [101][3220/3757] lr: 4.1318e-03 eta: 1 day, 8:47:58 time: 0.3945 data_time: 0.0142 memory: 17007 grad_norm: 8.2387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1455 loss: 2.1455 2022/07/28 11:36:06 - mmengine - INFO - Epoch(train) [101][3240/3757] lr: 4.1318e-03 eta: 1 day, 8:47:50 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 7.8874 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9003 loss: 1.9003 2022/07/28 11:36:14 - mmengine - INFO - Epoch(train) [101][3260/3757] lr: 4.1318e-03 eta: 1 day, 8:47:42 time: 0.4004 data_time: 0.0141 memory: 17007 grad_norm: 7.6329 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7116 loss: 1.7116 2022/07/28 11:36:22 - mmengine - INFO - Epoch(train) [101][3280/3757] lr: 4.1318e-03 eta: 1 day, 8:47:34 time: 0.3954 data_time: 0.0156 memory: 17007 grad_norm: 7.4660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8430 loss: 1.8430 2022/07/28 11:36:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:36:30 - mmengine - INFO - Epoch(train) [101][3300/3757] lr: 4.1318e-03 eta: 1 day, 8:47:26 time: 0.3986 data_time: 0.0144 memory: 17007 grad_norm: 7.8367 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5464 loss: 1.5464 2022/07/28 11:36:38 - mmengine - INFO - Epoch(train) [101][3320/3757] lr: 4.1318e-03 eta: 1 day, 8:47:18 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 7.8051 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7076 loss: 1.7076 2022/07/28 11:36:46 - mmengine - INFO - Epoch(train) [101][3340/3757] lr: 4.1318e-03 eta: 1 day, 8:47:11 time: 0.4109 data_time: 0.0155 memory: 17007 grad_norm: 8.0378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8363 loss: 1.8363 2022/07/28 11:36:54 - mmengine - INFO - Epoch(train) [101][3360/3757] lr: 4.1318e-03 eta: 1 day, 8:47:03 time: 0.3950 data_time: 0.0154 memory: 17007 grad_norm: 8.0378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9962 loss: 1.9962 2022/07/28 11:37:02 - mmengine - INFO - Epoch(train) [101][3380/3757] lr: 4.1318e-03 eta: 1 day, 8:46:55 time: 0.3940 data_time: 0.0144 memory: 17007 grad_norm: 7.8247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9536 loss: 1.9536 2022/07/28 11:37:10 - mmengine - INFO - Epoch(train) [101][3400/3757] lr: 4.1318e-03 eta: 1 day, 8:46:47 time: 0.3935 data_time: 0.0157 memory: 17007 grad_norm: 7.7992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6739 loss: 1.6739 2022/07/28 11:37:18 - mmengine - INFO - Epoch(train) [101][3420/3757] lr: 4.1318e-03 eta: 1 day, 8:46:39 time: 0.3935 data_time: 0.0136 memory: 17007 grad_norm: 7.8890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6924 loss: 1.6924 2022/07/28 11:37:26 - mmengine - INFO - Epoch(train) [101][3440/3757] lr: 4.1318e-03 eta: 1 day, 8:46:31 time: 0.4003 data_time: 0.0164 memory: 17007 grad_norm: 8.1920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8495 loss: 1.8495 2022/07/28 11:37:34 - mmengine - INFO - Epoch(train) [101][3460/3757] lr: 4.1318e-03 eta: 1 day, 8:46:23 time: 0.3956 data_time: 0.0152 memory: 17007 grad_norm: 8.0846 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0169 loss: 2.0169 2022/07/28 11:37:42 - mmengine - INFO - Epoch(train) [101][3480/3757] lr: 4.1318e-03 eta: 1 day, 8:46:15 time: 0.4023 data_time: 0.0168 memory: 17007 grad_norm: 7.8384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9850 loss: 1.9850 2022/07/28 11:37:50 - mmengine - INFO - Epoch(train) [101][3500/3757] lr: 4.1318e-03 eta: 1 day, 8:46:07 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 7.6400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8489 loss: 1.8489 2022/07/28 11:37:58 - mmengine - INFO - Epoch(train) [101][3520/3757] lr: 4.1318e-03 eta: 1 day, 8:45:59 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 7.8583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8176 loss: 1.8176 2022/07/28 11:38:06 - mmengine - INFO - Epoch(train) [101][3540/3757] lr: 4.1318e-03 eta: 1 day, 8:45:51 time: 0.3958 data_time: 0.0160 memory: 17007 grad_norm: 7.8677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9056 loss: 1.9056 2022/07/28 11:38:13 - mmengine - INFO - Epoch(train) [101][3560/3757] lr: 4.1318e-03 eta: 1 day, 8:45:43 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 8.2128 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9411 loss: 1.9411 2022/07/28 11:38:21 - mmengine - INFO - Epoch(train) [101][3580/3757] lr: 4.1318e-03 eta: 1 day, 8:45:35 time: 0.3976 data_time: 0.0139 memory: 17007 grad_norm: 7.6749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8442 loss: 1.8442 2022/07/28 11:38:29 - mmengine - INFO - Epoch(train) [101][3600/3757] lr: 4.1318e-03 eta: 1 day, 8:45:27 time: 0.3957 data_time: 0.0158 memory: 17007 grad_norm: 7.7471 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8984 loss: 1.8984 2022/07/28 11:38:37 - mmengine - INFO - Epoch(train) [101][3620/3757] lr: 4.1318e-03 eta: 1 day, 8:45:19 time: 0.3946 data_time: 0.0127 memory: 17007 grad_norm: 7.8823 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9991 loss: 1.9991 2022/07/28 11:38:45 - mmengine - INFO - Epoch(train) [101][3640/3757] lr: 4.1318e-03 eta: 1 day, 8:45:11 time: 0.4058 data_time: 0.0164 memory: 17007 grad_norm: 7.5971 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8655 loss: 1.8655 2022/07/28 11:38:53 - mmengine - INFO - Epoch(train) [101][3660/3757] lr: 4.1318e-03 eta: 1 day, 8:45:04 time: 0.3980 data_time: 0.0140 memory: 17007 grad_norm: 7.8396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8641 loss: 1.8641 2022/07/28 11:39:01 - mmengine - INFO - Epoch(train) [101][3680/3757] lr: 4.1318e-03 eta: 1 day, 8:44:56 time: 0.3987 data_time: 0.0167 memory: 17007 grad_norm: 7.6096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5634 loss: 1.5634 2022/07/28 11:39:09 - mmengine - INFO - Epoch(train) [101][3700/3757] lr: 4.1318e-03 eta: 1 day, 8:44:48 time: 0.3943 data_time: 0.0129 memory: 17007 grad_norm: 7.5897 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9390 loss: 1.9390 2022/07/28 11:39:17 - mmengine - INFO - Epoch(train) [101][3720/3757] lr: 4.1318e-03 eta: 1 day, 8:44:40 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 7.8542 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1346 loss: 2.1346 2022/07/28 11:39:25 - mmengine - INFO - Epoch(train) [101][3740/3757] lr: 4.1318e-03 eta: 1 day, 8:44:32 time: 0.3963 data_time: 0.0133 memory: 17007 grad_norm: 8.2237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6711 loss: 1.6711 2022/07/28 11:39:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:39:32 - mmengine - INFO - Epoch(train) [101][3757/3757] lr: 4.1318e-03 eta: 1 day, 8:44:32 time: 0.3933 data_time: 0.0168 memory: 17007 grad_norm: 7.9586 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.2616 loss: 2.2616 2022/07/28 11:39:32 - mmengine - INFO - Saving checkpoint at 101 epochs 2022/07/28 11:39:44 - mmengine - INFO - Epoch(train) [102][20/3757] lr: 4.0460e-03 eta: 1 day, 8:44:13 time: 0.4533 data_time: 0.0725 memory: 17007 grad_norm: 7.5234 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9574 loss: 1.9574 2022/07/28 11:39:52 - mmengine - INFO - Epoch(train) [102][40/3757] lr: 4.0460e-03 eta: 1 day, 8:44:05 time: 0.3988 data_time: 0.0174 memory: 17007 grad_norm: 7.7594 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5481 loss: 1.5481 2022/07/28 11:39:59 - mmengine - INFO - Epoch(train) [102][60/3757] lr: 4.0460e-03 eta: 1 day, 8:43:57 time: 0.3953 data_time: 0.0142 memory: 17007 grad_norm: 8.0940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/07/28 11:40:08 - mmengine - INFO - Epoch(train) [102][80/3757] lr: 4.0460e-03 eta: 1 day, 8:43:49 time: 0.4026 data_time: 0.0180 memory: 17007 grad_norm: 7.8568 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6574 loss: 1.6574 2022/07/28 11:40:15 - mmengine - INFO - Epoch(train) [102][100/3757] lr: 4.0460e-03 eta: 1 day, 8:43:41 time: 0.3954 data_time: 0.0147 memory: 17007 grad_norm: 8.1790 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0577 loss: 2.0577 2022/07/28 11:40:23 - mmengine - INFO - Epoch(train) [102][120/3757] lr: 4.0460e-03 eta: 1 day, 8:43:33 time: 0.3977 data_time: 0.0164 memory: 17007 grad_norm: 8.0085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7426 loss: 1.7426 2022/07/28 11:40:31 - mmengine - INFO - Epoch(train) [102][140/3757] lr: 4.0460e-03 eta: 1 day, 8:43:25 time: 0.3947 data_time: 0.0147 memory: 17007 grad_norm: 7.7578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6985 loss: 1.6985 2022/07/28 11:40:39 - mmengine - INFO - Epoch(train) [102][160/3757] lr: 4.0460e-03 eta: 1 day, 8:43:17 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 8.0822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7200 loss: 1.7200 2022/07/28 11:40:47 - mmengine - INFO - Epoch(train) [102][180/3757] lr: 4.0460e-03 eta: 1 day, 8:43:09 time: 0.3954 data_time: 0.0169 memory: 17007 grad_norm: 7.7267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9767 loss: 1.9767 2022/07/28 11:40:55 - mmengine - INFO - Epoch(train) [102][200/3757] lr: 4.0460e-03 eta: 1 day, 8:43:01 time: 0.3962 data_time: 0.0167 memory: 17007 grad_norm: 7.6447 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8004 loss: 1.8004 2022/07/28 11:41:03 - mmengine - INFO - Epoch(train) [102][220/3757] lr: 4.0460e-03 eta: 1 day, 8:42:53 time: 0.4163 data_time: 0.0162 memory: 17007 grad_norm: 7.9088 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9883 loss: 1.9883 2022/07/28 11:41:11 - mmengine - INFO - Epoch(train) [102][240/3757] lr: 4.0460e-03 eta: 1 day, 8:42:46 time: 0.3991 data_time: 0.0170 memory: 17007 grad_norm: 8.0172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9414 loss: 1.9414 2022/07/28 11:41:19 - mmengine - INFO - Epoch(train) [102][260/3757] lr: 4.0460e-03 eta: 1 day, 8:42:38 time: 0.3967 data_time: 0.0153 memory: 17007 grad_norm: 7.9736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6002 loss: 1.6002 2022/07/28 11:41:27 - mmengine - INFO - Epoch(train) [102][280/3757] lr: 4.0460e-03 eta: 1 day, 8:42:30 time: 0.3979 data_time: 0.0166 memory: 17007 grad_norm: 7.9250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1449 loss: 2.1449 2022/07/28 11:41:35 - mmengine - INFO - Epoch(train) [102][300/3757] lr: 4.0460e-03 eta: 1 day, 8:42:22 time: 0.3936 data_time: 0.0146 memory: 17007 grad_norm: 8.0307 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9364 loss: 1.9364 2022/07/28 11:41:43 - mmengine - INFO - Epoch(train) [102][320/3757] lr: 4.0460e-03 eta: 1 day, 8:42:14 time: 0.4029 data_time: 0.0168 memory: 17007 grad_norm: 7.9080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6299 loss: 1.6299 2022/07/28 11:41:51 - mmengine - INFO - Epoch(train) [102][340/3757] lr: 4.0460e-03 eta: 1 day, 8:42:06 time: 0.3963 data_time: 0.0152 memory: 17007 grad_norm: 7.7511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8988 loss: 1.8988 2022/07/28 11:41:59 - mmengine - INFO - Epoch(train) [102][360/3757] lr: 4.0460e-03 eta: 1 day, 8:41:58 time: 0.3946 data_time: 0.0152 memory: 17007 grad_norm: 7.7057 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8494 loss: 1.8494 2022/07/28 11:42:07 - mmengine - INFO - Epoch(train) [102][380/3757] lr: 4.0460e-03 eta: 1 day, 8:41:50 time: 0.4005 data_time: 0.0160 memory: 17007 grad_norm: 7.8105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8992 loss: 1.8992 2022/07/28 11:42:15 - mmengine - INFO - Epoch(train) [102][400/3757] lr: 4.0460e-03 eta: 1 day, 8:41:42 time: 0.3945 data_time: 0.0154 memory: 17007 grad_norm: 8.2590 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7759 loss: 1.7759 2022/07/28 11:42:23 - mmengine - INFO - Epoch(train) [102][420/3757] lr: 4.0460e-03 eta: 1 day, 8:41:34 time: 0.3985 data_time: 0.0149 memory: 17007 grad_norm: 7.8211 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6285 loss: 1.6285 2022/07/28 11:42:31 - mmengine - INFO - Epoch(train) [102][440/3757] lr: 4.0460e-03 eta: 1 day, 8:41:26 time: 0.3927 data_time: 0.0148 memory: 17007 grad_norm: 7.7335 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8164 loss: 1.8164 2022/07/28 11:42:39 - mmengine - INFO - Epoch(train) [102][460/3757] lr: 4.0460e-03 eta: 1 day, 8:41:18 time: 0.3936 data_time: 0.0142 memory: 17007 grad_norm: 7.6572 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9278 loss: 1.9278 2022/07/28 11:42:47 - mmengine - INFO - Epoch(train) [102][480/3757] lr: 4.0460e-03 eta: 1 day, 8:41:10 time: 0.4034 data_time: 0.0175 memory: 17007 grad_norm: 7.9231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8966 loss: 1.8966 2022/07/28 11:42:55 - mmengine - INFO - Epoch(train) [102][500/3757] lr: 4.0460e-03 eta: 1 day, 8:41:02 time: 0.3936 data_time: 0.0133 memory: 17007 grad_norm: 7.7296 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0458 loss: 2.0458 2022/07/28 11:43:03 - mmengine - INFO - Epoch(train) [102][520/3757] lr: 4.0460e-03 eta: 1 day, 8:40:54 time: 0.4035 data_time: 0.0163 memory: 17007 grad_norm: 7.6887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9529 loss: 1.9529 2022/07/28 11:43:11 - mmengine - INFO - Epoch(train) [102][540/3757] lr: 4.0460e-03 eta: 1 day, 8:40:46 time: 0.3944 data_time: 0.0159 memory: 17007 grad_norm: 7.5529 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9002 loss: 1.9002 2022/07/28 11:43:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:43:19 - mmengine - INFO - Epoch(train) [102][560/3757] lr: 4.0460e-03 eta: 1 day, 8:40:38 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 7.6517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8506 loss: 1.8506 2022/07/28 11:43:27 - mmengine - INFO - Epoch(train) [102][580/3757] lr: 4.0460e-03 eta: 1 day, 8:40:30 time: 0.3947 data_time: 0.0140 memory: 17007 grad_norm: 7.8669 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8179 loss: 1.8179 2022/07/28 11:43:34 - mmengine - INFO - Epoch(train) [102][600/3757] lr: 4.0460e-03 eta: 1 day, 8:40:23 time: 0.3959 data_time: 0.0158 memory: 17007 grad_norm: 7.9175 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6161 loss: 1.6161 2022/07/28 11:43:43 - mmengine - INFO - Epoch(train) [102][620/3757] lr: 4.0460e-03 eta: 1 day, 8:40:15 time: 0.4031 data_time: 0.0156 memory: 17007 grad_norm: 7.6311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8476 loss: 1.8476 2022/07/28 11:43:50 - mmengine - INFO - Epoch(train) [102][640/3757] lr: 4.0460e-03 eta: 1 day, 8:40:07 time: 0.3961 data_time: 0.0166 memory: 17007 grad_norm: 8.1118 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9824 loss: 1.9824 2022/07/28 11:43:58 - mmengine - INFO - Epoch(train) [102][660/3757] lr: 4.0460e-03 eta: 1 day, 8:39:59 time: 0.3928 data_time: 0.0137 memory: 17007 grad_norm: 7.6277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6725 loss: 1.6725 2022/07/28 11:44:06 - mmengine - INFO - Epoch(train) [102][680/3757] lr: 4.0460e-03 eta: 1 day, 8:39:51 time: 0.4016 data_time: 0.0171 memory: 17007 grad_norm: 7.8450 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1506 loss: 2.1506 2022/07/28 11:44:14 - mmengine - INFO - Epoch(train) [102][700/3757] lr: 4.0460e-03 eta: 1 day, 8:39:43 time: 0.3966 data_time: 0.0159 memory: 17007 grad_norm: 8.0137 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9873 loss: 1.9873 2022/07/28 11:44:22 - mmengine - INFO - Epoch(train) [102][720/3757] lr: 4.0460e-03 eta: 1 day, 8:39:35 time: 0.3978 data_time: 0.0167 memory: 17007 grad_norm: 7.5540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5428 loss: 1.5428 2022/07/28 11:44:30 - mmengine - INFO - Epoch(train) [102][740/3757] lr: 4.0460e-03 eta: 1 day, 8:39:27 time: 0.3984 data_time: 0.0159 memory: 17007 grad_norm: 7.9394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7313 loss: 1.7313 2022/07/28 11:44:38 - mmengine - INFO - Epoch(train) [102][760/3757] lr: 4.0460e-03 eta: 1 day, 8:39:19 time: 0.3944 data_time: 0.0148 memory: 17007 grad_norm: 7.9193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1858 loss: 2.1858 2022/07/28 11:44:46 - mmengine - INFO - Epoch(train) [102][780/3757] lr: 4.0460e-03 eta: 1 day, 8:39:11 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 7.6056 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8294 loss: 1.8294 2022/07/28 11:44:54 - mmengine - INFO - Epoch(train) [102][800/3757] lr: 4.0460e-03 eta: 1 day, 8:39:03 time: 0.3988 data_time: 0.0160 memory: 17007 grad_norm: 7.8524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5269 loss: 1.5269 2022/07/28 11:45:02 - mmengine - INFO - Epoch(train) [102][820/3757] lr: 4.0460e-03 eta: 1 day, 8:38:55 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 7.7683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7415 loss: 1.7415 2022/07/28 11:45:10 - mmengine - INFO - Epoch(train) [102][840/3757] lr: 4.0460e-03 eta: 1 day, 8:38:48 time: 0.4147 data_time: 0.0158 memory: 17007 grad_norm: 7.7166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8399 loss: 1.8399 2022/07/28 11:45:18 - mmengine - INFO - Epoch(train) [102][860/3757] lr: 4.0460e-03 eta: 1 day, 8:38:40 time: 0.3939 data_time: 0.0143 memory: 17007 grad_norm: 7.7697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7234 loss: 1.7234 2022/07/28 11:45:26 - mmengine - INFO - Epoch(train) [102][880/3757] lr: 4.0460e-03 eta: 1 day, 8:38:32 time: 0.3997 data_time: 0.0172 memory: 17007 grad_norm: 7.8593 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7528 loss: 1.7528 2022/07/28 11:45:34 - mmengine - INFO - Epoch(train) [102][900/3757] lr: 4.0460e-03 eta: 1 day, 8:38:24 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 8.0954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7777 loss: 1.7777 2022/07/28 11:45:42 - mmengine - INFO - Epoch(train) [102][920/3757] lr: 4.0460e-03 eta: 1 day, 8:38:16 time: 0.4125 data_time: 0.0167 memory: 17007 grad_norm: 7.8454 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9216 loss: 1.9216 2022/07/28 11:45:50 - mmengine - INFO - Epoch(train) [102][940/3757] lr: 4.0460e-03 eta: 1 day, 8:38:08 time: 0.3959 data_time: 0.0150 memory: 17007 grad_norm: 7.9747 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1668 loss: 2.1668 2022/07/28 11:45:58 - mmengine - INFO - Epoch(train) [102][960/3757] lr: 4.0460e-03 eta: 1 day, 8:38:00 time: 0.3964 data_time: 0.0154 memory: 17007 grad_norm: 7.8972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7598 loss: 1.7598 2022/07/28 11:46:06 - mmengine - INFO - Epoch(train) [102][980/3757] lr: 4.0460e-03 eta: 1 day, 8:37:52 time: 0.3996 data_time: 0.0148 memory: 17007 grad_norm: 7.8434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8574 loss: 1.8574 2022/07/28 11:46:14 - mmengine - INFO - Epoch(train) [102][1000/3757] lr: 4.0460e-03 eta: 1 day, 8:37:44 time: 0.3951 data_time: 0.0161 memory: 17007 grad_norm: 8.0560 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7062 loss: 1.7062 2022/07/28 11:46:22 - mmengine - INFO - Epoch(train) [102][1020/3757] lr: 4.0460e-03 eta: 1 day, 8:37:36 time: 0.3975 data_time: 0.0165 memory: 17007 grad_norm: 7.6072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6945 loss: 1.6945 2022/07/28 11:46:30 - mmengine - INFO - Epoch(train) [102][1040/3757] lr: 4.0460e-03 eta: 1 day, 8:37:28 time: 0.3999 data_time: 0.0162 memory: 17007 grad_norm: 7.9966 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0601 loss: 2.0601 2022/07/28 11:46:38 - mmengine - INFO - Epoch(train) [102][1060/3757] lr: 4.0460e-03 eta: 1 day, 8:37:20 time: 0.3933 data_time: 0.0137 memory: 17007 grad_norm: 8.2922 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9727 loss: 1.9727 2022/07/28 11:46:46 - mmengine - INFO - Epoch(train) [102][1080/3757] lr: 4.0460e-03 eta: 1 day, 8:37:13 time: 0.4087 data_time: 0.0172 memory: 17007 grad_norm: 8.1956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6706 loss: 1.6706 2022/07/28 11:46:54 - mmengine - INFO - Epoch(train) [102][1100/3757] lr: 4.0460e-03 eta: 1 day, 8:37:05 time: 0.3961 data_time: 0.0156 memory: 17007 grad_norm: 7.9840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6727 loss: 1.6727 2022/07/28 11:47:03 - mmengine - INFO - Epoch(train) [102][1120/3757] lr: 4.0460e-03 eta: 1 day, 8:36:57 time: 0.4160 data_time: 0.0167 memory: 17007 grad_norm: 7.8376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5702 loss: 1.5702 2022/07/28 11:47:10 - mmengine - INFO - Epoch(train) [102][1140/3757] lr: 4.0460e-03 eta: 1 day, 8:36:49 time: 0.3945 data_time: 0.0154 memory: 17007 grad_norm: 8.1879 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9402 loss: 1.9402 2022/07/28 11:47:18 - mmengine - INFO - Epoch(train) [102][1160/3757] lr: 4.0460e-03 eta: 1 day, 8:36:41 time: 0.3949 data_time: 0.0153 memory: 17007 grad_norm: 8.0009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8089 loss: 1.8089 2022/07/28 11:47:26 - mmengine - INFO - Epoch(train) [102][1180/3757] lr: 4.0460e-03 eta: 1 day, 8:36:33 time: 0.3970 data_time: 0.0150 memory: 17007 grad_norm: 7.8686 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8127 loss: 1.8127 2022/07/28 11:47:34 - mmengine - INFO - Epoch(train) [102][1200/3757] lr: 4.0460e-03 eta: 1 day, 8:36:25 time: 0.3965 data_time: 0.0148 memory: 17007 grad_norm: 7.5235 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8553 loss: 1.8553 2022/07/28 11:47:42 - mmengine - INFO - Epoch(train) [102][1220/3757] lr: 4.0460e-03 eta: 1 day, 8:36:17 time: 0.4017 data_time: 0.0162 memory: 17007 grad_norm: 7.6969 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9034 loss: 1.9034 2022/07/28 11:47:50 - mmengine - INFO - Epoch(train) [102][1240/3757] lr: 4.0460e-03 eta: 1 day, 8:36:09 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 8.0124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0770 loss: 2.0770 2022/07/28 11:47:58 - mmengine - INFO - Epoch(train) [102][1260/3757] lr: 4.0460e-03 eta: 1 day, 8:36:01 time: 0.3940 data_time: 0.0139 memory: 17007 grad_norm: 7.6922 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8306 loss: 1.8306 2022/07/28 11:48:06 - mmengine - INFO - Epoch(train) [102][1280/3757] lr: 4.0460e-03 eta: 1 day, 8:35:53 time: 0.3990 data_time: 0.0166 memory: 17007 grad_norm: 7.7978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8003 loss: 1.8003 2022/07/28 11:48:14 - mmengine - INFO - Epoch(train) [102][1300/3757] lr: 4.0460e-03 eta: 1 day, 8:35:45 time: 0.3975 data_time: 0.0156 memory: 17007 grad_norm: 8.0699 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6822 loss: 1.6822 2022/07/28 11:48:22 - mmengine - INFO - Epoch(train) [102][1320/3757] lr: 4.0460e-03 eta: 1 day, 8:35:37 time: 0.3960 data_time: 0.0156 memory: 17007 grad_norm: 7.7980 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8441 loss: 1.8441 2022/07/28 11:48:30 - mmengine - INFO - Epoch(train) [102][1340/3757] lr: 4.0460e-03 eta: 1 day, 8:35:30 time: 0.3970 data_time: 0.0181 memory: 17007 grad_norm: 7.8596 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8326 loss: 1.8326 2022/07/28 11:48:38 - mmengine - INFO - Epoch(train) [102][1360/3757] lr: 4.0460e-03 eta: 1 day, 8:35:22 time: 0.3963 data_time: 0.0157 memory: 17007 grad_norm: 7.7729 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8876 loss: 1.8876 2022/07/28 11:48:46 - mmengine - INFO - Epoch(train) [102][1380/3757] lr: 4.0460e-03 eta: 1 day, 8:35:14 time: 0.3964 data_time: 0.0169 memory: 17007 grad_norm: 7.8331 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8141 loss: 1.8141 2022/07/28 11:48:54 - mmengine - INFO - Epoch(train) [102][1400/3757] lr: 4.0460e-03 eta: 1 day, 8:35:06 time: 0.3986 data_time: 0.0164 memory: 17007 grad_norm: 7.6422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8567 loss: 1.8567 2022/07/28 11:49:02 - mmengine - INFO - Epoch(train) [102][1420/3757] lr: 4.0460e-03 eta: 1 day, 8:34:58 time: 0.3942 data_time: 0.0160 memory: 17007 grad_norm: 7.9409 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8872 loss: 1.8872 2022/07/28 11:49:10 - mmengine - INFO - Epoch(train) [102][1440/3757] lr: 4.0460e-03 eta: 1 day, 8:34:50 time: 0.3971 data_time: 0.0164 memory: 17007 grad_norm: 7.9151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7535 loss: 1.7535 2022/07/28 11:49:18 - mmengine - INFO - Epoch(train) [102][1460/3757] lr: 4.0460e-03 eta: 1 day, 8:34:42 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 7.5647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7875 loss: 1.7875 2022/07/28 11:49:26 - mmengine - INFO - Epoch(train) [102][1480/3757] lr: 4.0460e-03 eta: 1 day, 8:34:34 time: 0.3984 data_time: 0.0169 memory: 17007 grad_norm: 8.0302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8015 loss: 1.8015 2022/07/28 11:49:33 - mmengine - INFO - Epoch(train) [102][1500/3757] lr: 4.0460e-03 eta: 1 day, 8:34:26 time: 0.3953 data_time: 0.0160 memory: 17007 grad_norm: 7.6825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7234 loss: 1.7234 2022/07/28 11:49:41 - mmengine - INFO - Epoch(train) [102][1520/3757] lr: 4.0460e-03 eta: 1 day, 8:34:18 time: 0.3957 data_time: 0.0153 memory: 17007 grad_norm: 8.1061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1244 loss: 2.1244 2022/07/28 11:49:49 - mmengine - INFO - Epoch(train) [102][1540/3757] lr: 4.0460e-03 eta: 1 day, 8:34:10 time: 0.3950 data_time: 0.0152 memory: 17007 grad_norm: 8.0439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7531 loss: 1.7531 2022/07/28 11:49:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:49:57 - mmengine - INFO - Epoch(train) [102][1560/3757] lr: 4.0460e-03 eta: 1 day, 8:34:02 time: 0.3952 data_time: 0.0151 memory: 17007 grad_norm: 7.9702 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9421 loss: 1.9421 2022/07/28 11:50:05 - mmengine - INFO - Epoch(train) [102][1580/3757] lr: 4.0460e-03 eta: 1 day, 8:33:54 time: 0.3974 data_time: 0.0156 memory: 17007 grad_norm: 8.0285 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7118 loss: 1.7118 2022/07/28 11:50:13 - mmengine - INFO - Epoch(train) [102][1600/3757] lr: 4.0460e-03 eta: 1 day, 8:33:46 time: 0.4098 data_time: 0.0150 memory: 17007 grad_norm: 8.3397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0299 loss: 2.0299 2022/07/28 11:50:21 - mmengine - INFO - Epoch(train) [102][1620/3757] lr: 4.0460e-03 eta: 1 day, 8:33:38 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 7.8008 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9677 loss: 1.9677 2022/07/28 11:50:29 - mmengine - INFO - Epoch(train) [102][1640/3757] lr: 4.0460e-03 eta: 1 day, 8:33:30 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 8.0798 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8250 loss: 1.8250 2022/07/28 11:50:37 - mmengine - INFO - Epoch(train) [102][1660/3757] lr: 4.0460e-03 eta: 1 day, 8:33:22 time: 0.3968 data_time: 0.0147 memory: 17007 grad_norm: 7.6456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9037 loss: 1.9037 2022/07/28 11:50:45 - mmengine - INFO - Epoch(train) [102][1680/3757] lr: 4.0460e-03 eta: 1 day, 8:33:14 time: 0.3949 data_time: 0.0162 memory: 17007 grad_norm: 7.8044 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8235 loss: 1.8235 2022/07/28 11:50:53 - mmengine - INFO - Epoch(train) [102][1700/3757] lr: 4.0460e-03 eta: 1 day, 8:33:07 time: 0.3971 data_time: 0.0157 memory: 17007 grad_norm: 7.6988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8251 loss: 1.8251 2022/07/28 11:51:01 - mmengine - INFO - Epoch(train) [102][1720/3757] lr: 4.0460e-03 eta: 1 day, 8:32:59 time: 0.3966 data_time: 0.0164 memory: 17007 grad_norm: 7.9502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7586 loss: 1.7586 2022/07/28 11:51:09 - mmengine - INFO - Epoch(train) [102][1740/3757] lr: 4.0460e-03 eta: 1 day, 8:32:51 time: 0.3946 data_time: 0.0144 memory: 17007 grad_norm: 7.5423 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9099 loss: 1.9099 2022/07/28 11:51:17 - mmengine - INFO - Epoch(train) [102][1760/3757] lr: 4.0460e-03 eta: 1 day, 8:32:43 time: 0.4097 data_time: 0.0154 memory: 17007 grad_norm: 7.9362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9374 loss: 1.9374 2022/07/28 11:51:25 - mmengine - INFO - Epoch(train) [102][1780/3757] lr: 4.0460e-03 eta: 1 day, 8:32:35 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 8.0211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9748 loss: 1.9748 2022/07/28 11:51:33 - mmengine - INFO - Epoch(train) [102][1800/3757] lr: 4.0460e-03 eta: 1 day, 8:32:27 time: 0.4094 data_time: 0.0150 memory: 17007 grad_norm: 8.0809 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7388 loss: 1.7388 2022/07/28 11:51:41 - mmengine - INFO - Epoch(train) [102][1820/3757] lr: 4.0460e-03 eta: 1 day, 8:32:19 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 7.8622 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6824 loss: 1.6824 2022/07/28 11:51:49 - mmengine - INFO - Epoch(train) [102][1840/3757] lr: 4.0460e-03 eta: 1 day, 8:32:11 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 7.8598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9087 loss: 1.9087 2022/07/28 11:51:57 - mmengine - INFO - Epoch(train) [102][1860/3757] lr: 4.0460e-03 eta: 1 day, 8:32:03 time: 0.3957 data_time: 0.0148 memory: 17007 grad_norm: 7.7280 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9461 loss: 1.9461 2022/07/28 11:52:05 - mmengine - INFO - Epoch(train) [102][1880/3757] lr: 4.0460e-03 eta: 1 day, 8:31:55 time: 0.4069 data_time: 0.0165 memory: 17007 grad_norm: 8.1610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0910 loss: 2.0910 2022/07/28 11:52:13 - mmengine - INFO - Epoch(train) [102][1900/3757] lr: 4.0460e-03 eta: 1 day, 8:31:47 time: 0.3955 data_time: 0.0140 memory: 17007 grad_norm: 7.8833 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9942 loss: 1.9942 2022/07/28 11:52:21 - mmengine - INFO - Epoch(train) [102][1920/3757] lr: 4.0460e-03 eta: 1 day, 8:31:39 time: 0.3957 data_time: 0.0152 memory: 17007 grad_norm: 8.2142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8929 loss: 1.8929 2022/07/28 11:52:29 - mmengine - INFO - Epoch(train) [102][1940/3757] lr: 4.0460e-03 eta: 1 day, 8:31:31 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 7.6619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7986 loss: 1.7986 2022/07/28 11:52:37 - mmengine - INFO - Epoch(train) [102][1960/3757] lr: 4.0460e-03 eta: 1 day, 8:31:23 time: 0.3951 data_time: 0.0149 memory: 17007 grad_norm: 7.9547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8336 loss: 1.8336 2022/07/28 11:52:45 - mmengine - INFO - Epoch(train) [102][1980/3757] lr: 4.0460e-03 eta: 1 day, 8:31:16 time: 0.3981 data_time: 0.0154 memory: 17007 grad_norm: 7.9106 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8708 loss: 1.8708 2022/07/28 11:52:53 - mmengine - INFO - Epoch(train) [102][2000/3757] lr: 4.0460e-03 eta: 1 day, 8:31:08 time: 0.3945 data_time: 0.0157 memory: 17007 grad_norm: 7.8051 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5208 loss: 1.5208 2022/07/28 11:53:01 - mmengine - INFO - Epoch(train) [102][2020/3757] lr: 4.0460e-03 eta: 1 day, 8:31:00 time: 0.3967 data_time: 0.0159 memory: 17007 grad_norm: 7.7727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2362 loss: 1.2362 2022/07/28 11:53:08 - mmengine - INFO - Epoch(train) [102][2040/3757] lr: 4.0460e-03 eta: 1 day, 8:30:52 time: 0.3951 data_time: 0.0160 memory: 17007 grad_norm: 8.2284 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1266 loss: 2.1266 2022/07/28 11:53:16 - mmengine - INFO - Epoch(train) [102][2060/3757] lr: 4.0460e-03 eta: 1 day, 8:30:44 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 7.8748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7678 loss: 1.7678 2022/07/28 11:53:24 - mmengine - INFO - Epoch(train) [102][2080/3757] lr: 4.0460e-03 eta: 1 day, 8:30:36 time: 0.4000 data_time: 0.0166 memory: 17007 grad_norm: 7.9384 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0859 loss: 2.0859 2022/07/28 11:53:32 - mmengine - INFO - Epoch(train) [102][2100/3757] lr: 4.0460e-03 eta: 1 day, 8:30:28 time: 0.3944 data_time: 0.0149 memory: 17007 grad_norm: 8.3117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9757 loss: 1.9757 2022/07/28 11:53:40 - mmengine - INFO - Epoch(train) [102][2120/3757] lr: 4.0460e-03 eta: 1 day, 8:30:20 time: 0.3948 data_time: 0.0151 memory: 17007 grad_norm: 7.9946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6792 loss: 1.6792 2022/07/28 11:53:48 - mmengine - INFO - Epoch(train) [102][2140/3757] lr: 4.0460e-03 eta: 1 day, 8:30:12 time: 0.4022 data_time: 0.0150 memory: 17007 grad_norm: 7.8197 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6092 loss: 1.6092 2022/07/28 11:53:56 - mmengine - INFO - Epoch(train) [102][2160/3757] lr: 4.0460e-03 eta: 1 day, 8:30:04 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.9322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9721 loss: 1.9721 2022/07/28 11:54:04 - mmengine - INFO - Epoch(train) [102][2180/3757] lr: 4.0460e-03 eta: 1 day, 8:29:56 time: 0.3970 data_time: 0.0159 memory: 17007 grad_norm: 8.2870 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8478 loss: 1.8478 2022/07/28 11:54:12 - mmengine - INFO - Epoch(train) [102][2200/3757] lr: 4.0460e-03 eta: 1 day, 8:29:48 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 7.7385 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5783 loss: 1.5783 2022/07/28 11:54:20 - mmengine - INFO - Epoch(train) [102][2220/3757] lr: 4.0460e-03 eta: 1 day, 8:29:40 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 8.2367 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4972 loss: 1.4972 2022/07/28 11:54:28 - mmengine - INFO - Epoch(train) [102][2240/3757] lr: 4.0460e-03 eta: 1 day, 8:29:32 time: 0.3985 data_time: 0.0173 memory: 17007 grad_norm: 8.0059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9316 loss: 1.9316 2022/07/28 11:54:36 - mmengine - INFO - Epoch(train) [102][2260/3757] lr: 4.0460e-03 eta: 1 day, 8:29:24 time: 0.3957 data_time: 0.0150 memory: 17007 grad_norm: 8.1860 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6385 loss: 1.6385 2022/07/28 11:54:44 - mmengine - INFO - Epoch(train) [102][2280/3757] lr: 4.0460e-03 eta: 1 day, 8:29:16 time: 0.3956 data_time: 0.0152 memory: 17007 grad_norm: 7.8527 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9931 loss: 1.9931 2022/07/28 11:54:52 - mmengine - INFO - Epoch(train) [102][2300/3757] lr: 4.0460e-03 eta: 1 day, 8:29:08 time: 0.4041 data_time: 0.0182 memory: 17007 grad_norm: 8.3078 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0983 loss: 2.0983 2022/07/28 11:55:00 - mmengine - INFO - Epoch(train) [102][2320/3757] lr: 4.0460e-03 eta: 1 day, 8:29:00 time: 0.3956 data_time: 0.0151 memory: 17007 grad_norm: 8.1564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9623 loss: 1.9623 2022/07/28 11:55:08 - mmengine - INFO - Epoch(train) [102][2340/3757] lr: 4.0460e-03 eta: 1 day, 8:28:52 time: 0.3980 data_time: 0.0143 memory: 17007 grad_norm: 7.9719 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9306 loss: 1.9306 2022/07/28 11:55:16 - mmengine - INFO - Epoch(train) [102][2360/3757] lr: 4.0460e-03 eta: 1 day, 8:28:45 time: 0.4107 data_time: 0.0168 memory: 17007 grad_norm: 7.7621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8501 loss: 1.8501 2022/07/28 11:55:24 - mmengine - INFO - Epoch(train) [102][2380/3757] lr: 4.0460e-03 eta: 1 day, 8:28:37 time: 0.3976 data_time: 0.0149 memory: 17007 grad_norm: 7.7784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6337 loss: 1.6337 2022/07/28 11:55:32 - mmengine - INFO - Epoch(train) [102][2400/3757] lr: 4.0460e-03 eta: 1 day, 8:28:29 time: 0.3991 data_time: 0.0185 memory: 17007 grad_norm: 8.1164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9709 loss: 1.9709 2022/07/28 11:55:40 - mmengine - INFO - Epoch(train) [102][2420/3757] lr: 4.0460e-03 eta: 1 day, 8:28:21 time: 0.3939 data_time: 0.0149 memory: 17007 grad_norm: 7.5351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6584 loss: 1.6584 2022/07/28 11:55:48 - mmengine - INFO - Epoch(train) [102][2440/3757] lr: 4.0460e-03 eta: 1 day, 8:28:13 time: 0.3965 data_time: 0.0153 memory: 17007 grad_norm: 7.7243 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8322 loss: 1.8322 2022/07/28 11:55:56 - mmengine - INFO - Epoch(train) [102][2460/3757] lr: 4.0460e-03 eta: 1 day, 8:28:05 time: 0.3960 data_time: 0.0154 memory: 17007 grad_norm: 7.9024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7075 loss: 1.7075 2022/07/28 11:56:04 - mmengine - INFO - Epoch(train) [102][2480/3757] lr: 4.0460e-03 eta: 1 day, 8:27:57 time: 0.4047 data_time: 0.0151 memory: 17007 grad_norm: 7.8440 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8802 loss: 1.8802 2022/07/28 11:56:12 - mmengine - INFO - Epoch(train) [102][2500/3757] lr: 4.0460e-03 eta: 1 day, 8:27:49 time: 0.3984 data_time: 0.0169 memory: 17007 grad_norm: 7.6879 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7025 loss: 1.7025 2022/07/28 11:56:20 - mmengine - INFO - Epoch(train) [102][2520/3757] lr: 4.0460e-03 eta: 1 day, 8:27:41 time: 0.3935 data_time: 0.0150 memory: 17007 grad_norm: 7.8418 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8573 loss: 1.8573 2022/07/28 11:56:28 - mmengine - INFO - Epoch(train) [102][2540/3757] lr: 4.0460e-03 eta: 1 day, 8:27:33 time: 0.4090 data_time: 0.0150 memory: 17007 grad_norm: 8.1084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8553 loss: 1.8553 2022/07/28 11:56:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 11:56:36 - mmengine - INFO - Epoch(train) [102][2560/3757] lr: 4.0460e-03 eta: 1 day, 8:27:26 time: 0.3996 data_time: 0.0162 memory: 17007 grad_norm: 8.2299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2162 loss: 2.2162 2022/07/28 11:56:44 - mmengine - INFO - Epoch(train) [102][2580/3757] lr: 4.0460e-03 eta: 1 day, 8:27:18 time: 0.3945 data_time: 0.0147 memory: 17007 grad_norm: 8.0227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6331 loss: 1.6331 2022/07/28 11:56:52 - mmengine - INFO - Epoch(train) [102][2600/3757] lr: 4.0460e-03 eta: 1 day, 8:27:10 time: 0.3988 data_time: 0.0177 memory: 17007 grad_norm: 7.8717 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9909 loss: 1.9909 2022/07/28 11:57:00 - mmengine - INFO - Epoch(train) [102][2620/3757] lr: 4.0460e-03 eta: 1 day, 8:27:02 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.9988 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5864 loss: 1.5864 2022/07/28 11:57:08 - mmengine - INFO - Epoch(train) [102][2640/3757] lr: 4.0460e-03 eta: 1 day, 8:26:54 time: 0.4057 data_time: 0.0161 memory: 17007 grad_norm: 7.7926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7652 loss: 1.7652 2022/07/28 11:57:16 - mmengine - INFO - Epoch(train) [102][2660/3757] lr: 4.0460e-03 eta: 1 day, 8:26:46 time: 0.3955 data_time: 0.0136 memory: 17007 grad_norm: 7.7106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6722 loss: 1.6722 2022/07/28 11:57:24 - mmengine - INFO - Epoch(train) [102][2680/3757] lr: 4.0460e-03 eta: 1 day, 8:26:38 time: 0.3976 data_time: 0.0165 memory: 17007 grad_norm: 7.9584 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6732 loss: 1.6732 2022/07/28 11:57:32 - mmengine - INFO - Epoch(train) [102][2700/3757] lr: 4.0460e-03 eta: 1 day, 8:26:30 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 7.6717 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8729 loss: 1.8729 2022/07/28 11:57:39 - mmengine - INFO - Epoch(train) [102][2720/3757] lr: 4.0460e-03 eta: 1 day, 8:26:22 time: 0.3949 data_time: 0.0161 memory: 17007 grad_norm: 7.8515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8064 loss: 1.8064 2022/07/28 11:57:48 - mmengine - INFO - Epoch(train) [102][2740/3757] lr: 4.0460e-03 eta: 1 day, 8:26:14 time: 0.4064 data_time: 0.0157 memory: 17007 grad_norm: 7.8258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1254 loss: 2.1254 2022/07/28 11:57:56 - mmengine - INFO - Epoch(train) [102][2760/3757] lr: 4.0460e-03 eta: 1 day, 8:26:06 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 7.8344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6479 loss: 1.6479 2022/07/28 11:58:04 - mmengine - INFO - Epoch(train) [102][2780/3757] lr: 4.0460e-03 eta: 1 day, 8:25:58 time: 0.4022 data_time: 0.0154 memory: 17007 grad_norm: 8.0981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7949 loss: 1.7949 2022/07/28 11:58:12 - mmengine - INFO - Epoch(train) [102][2800/3757] lr: 4.0460e-03 eta: 1 day, 8:25:50 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 8.1209 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7754 loss: 1.7754 2022/07/28 11:58:19 - mmengine - INFO - Epoch(train) [102][2820/3757] lr: 4.0460e-03 eta: 1 day, 8:25:42 time: 0.3954 data_time: 0.0156 memory: 17007 grad_norm: 8.4741 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8549 loss: 1.8549 2022/07/28 11:58:28 - mmengine - INFO - Epoch(train) [102][2840/3757] lr: 4.0460e-03 eta: 1 day, 8:25:35 time: 0.4178 data_time: 0.0157 memory: 17007 grad_norm: 8.1450 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0224 loss: 2.0224 2022/07/28 11:58:36 - mmengine - INFO - Epoch(train) [102][2860/3757] lr: 4.0460e-03 eta: 1 day, 8:25:27 time: 0.3942 data_time: 0.0140 memory: 17007 grad_norm: 7.7643 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8609 loss: 1.8609 2022/07/28 11:58:44 - mmengine - INFO - Epoch(train) [102][2880/3757] lr: 4.0460e-03 eta: 1 day, 8:25:19 time: 0.3969 data_time: 0.0156 memory: 17007 grad_norm: 7.8244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0121 loss: 2.0121 2022/07/28 11:58:52 - mmengine - INFO - Epoch(train) [102][2900/3757] lr: 4.0460e-03 eta: 1 day, 8:25:11 time: 0.3955 data_time: 0.0155 memory: 17007 grad_norm: 7.9018 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8816 loss: 1.8816 2022/07/28 11:58:59 - mmengine - INFO - Epoch(train) [102][2920/3757] lr: 4.0460e-03 eta: 1 day, 8:25:03 time: 0.3957 data_time: 0.0159 memory: 17007 grad_norm: 8.0708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6274 loss: 1.6274 2022/07/28 11:59:08 - mmengine - INFO - Epoch(train) [102][2940/3757] lr: 4.0460e-03 eta: 1 day, 8:24:55 time: 0.4095 data_time: 0.0143 memory: 17007 grad_norm: 8.1531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9359 loss: 1.9359 2022/07/28 11:59:16 - mmengine - INFO - Epoch(train) [102][2960/3757] lr: 4.0460e-03 eta: 1 day, 8:24:47 time: 0.3987 data_time: 0.0159 memory: 17007 grad_norm: 7.7166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7227 loss: 1.7227 2022/07/28 11:59:24 - mmengine - INFO - Epoch(train) [102][2980/3757] lr: 4.0460e-03 eta: 1 day, 8:24:40 time: 0.4115 data_time: 0.0146 memory: 17007 grad_norm: 7.9835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9483 loss: 1.9483 2022/07/28 11:59:32 - mmengine - INFO - Epoch(train) [102][3000/3757] lr: 4.0460e-03 eta: 1 day, 8:24:32 time: 0.3976 data_time: 0.0169 memory: 17007 grad_norm: 7.5411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7253 loss: 1.7253 2022/07/28 11:59:40 - mmengine - INFO - Epoch(train) [102][3020/3757] lr: 4.0460e-03 eta: 1 day, 8:24:24 time: 0.3928 data_time: 0.0151 memory: 17007 grad_norm: 7.9891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8412 loss: 1.8412 2022/07/28 11:59:48 - mmengine - INFO - Epoch(train) [102][3040/3757] lr: 4.0460e-03 eta: 1 day, 8:24:16 time: 0.3963 data_time: 0.0163 memory: 17007 grad_norm: 7.6107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9115 loss: 1.9115 2022/07/28 11:59:56 - mmengine - INFO - Epoch(train) [102][3060/3757] lr: 4.0460e-03 eta: 1 day, 8:24:08 time: 0.3957 data_time: 0.0153 memory: 17007 grad_norm: 7.9032 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8055 loss: 1.8055 2022/07/28 12:00:07 - mmengine - INFO - Epoch(train) [102][3080/3757] lr: 4.0460e-03 eta: 1 day, 8:24:02 time: 0.5502 data_time: 0.0194 memory: 17007 grad_norm: 7.8002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9837 loss: 1.9837 2022/07/28 12:00:15 - mmengine - INFO - Epoch(train) [102][3100/3757] lr: 4.0460e-03 eta: 1 day, 8:23:54 time: 0.3969 data_time: 0.0166 memory: 17007 grad_norm: 8.0910 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8312 loss: 1.8312 2022/07/28 12:00:23 - mmengine - INFO - Epoch(train) [102][3120/3757] lr: 4.0460e-03 eta: 1 day, 8:23:47 time: 0.4253 data_time: 0.0191 memory: 17007 grad_norm: 7.7359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0469 loss: 2.0469 2022/07/28 12:00:31 - mmengine - INFO - Epoch(train) [102][3140/3757] lr: 4.0460e-03 eta: 1 day, 8:23:39 time: 0.3937 data_time: 0.0151 memory: 17007 grad_norm: 7.7394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6453 loss: 1.6453 2022/07/28 12:00:39 - mmengine - INFO - Epoch(train) [102][3160/3757] lr: 4.0460e-03 eta: 1 day, 8:23:31 time: 0.3942 data_time: 0.0135 memory: 17007 grad_norm: 8.0176 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8991 loss: 1.8991 2022/07/28 12:00:47 - mmengine - INFO - Epoch(train) [102][3180/3757] lr: 4.0460e-03 eta: 1 day, 8:23:23 time: 0.4017 data_time: 0.0168 memory: 17007 grad_norm: 7.6855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7967 loss: 1.7967 2022/07/28 12:00:55 - mmengine - INFO - Epoch(train) [102][3200/3757] lr: 4.0460e-03 eta: 1 day, 8:23:15 time: 0.4156 data_time: 0.0131 memory: 17007 grad_norm: 7.9038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8930 loss: 1.8930 2022/07/28 12:01:03 - mmengine - INFO - Epoch(train) [102][3220/3757] lr: 4.0460e-03 eta: 1 day, 8:23:07 time: 0.4005 data_time: 0.0156 memory: 17007 grad_norm: 8.0634 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7463 loss: 1.7463 2022/07/28 12:01:11 - mmengine - INFO - Epoch(train) [102][3240/3757] lr: 4.0460e-03 eta: 1 day, 8:22:59 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 7.9129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7136 loss: 1.7136 2022/07/28 12:01:19 - mmengine - INFO - Epoch(train) [102][3260/3757] lr: 4.0460e-03 eta: 1 day, 8:22:51 time: 0.3957 data_time: 0.0161 memory: 17007 grad_norm: 8.1440 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8798 loss: 1.8798 2022/07/28 12:01:27 - mmengine - INFO - Epoch(train) [102][3280/3757] lr: 4.0460e-03 eta: 1 day, 8:22:43 time: 0.4044 data_time: 0.0143 memory: 17007 grad_norm: 7.6880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9625 loss: 1.9625 2022/07/28 12:01:35 - mmengine - INFO - Epoch(train) [102][3300/3757] lr: 4.0460e-03 eta: 1 day, 8:22:36 time: 0.3944 data_time: 0.0166 memory: 17007 grad_norm: 7.9188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6022 loss: 1.6022 2022/07/28 12:01:43 - mmengine - INFO - Epoch(train) [102][3320/3757] lr: 4.0460e-03 eta: 1 day, 8:22:28 time: 0.3962 data_time: 0.0144 memory: 17007 grad_norm: 7.7857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0368 loss: 2.0368 2022/07/28 12:01:51 - mmengine - INFO - Epoch(train) [102][3340/3757] lr: 4.0460e-03 eta: 1 day, 8:22:20 time: 0.3958 data_time: 0.0166 memory: 17007 grad_norm: 8.2650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9209 loss: 1.9209 2022/07/28 12:01:59 - mmengine - INFO - Epoch(train) [102][3360/3757] lr: 4.0460e-03 eta: 1 day, 8:22:12 time: 0.3954 data_time: 0.0134 memory: 17007 grad_norm: 8.3838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7299 loss: 1.7299 2022/07/28 12:02:07 - mmengine - INFO - Epoch(train) [102][3380/3757] lr: 4.0460e-03 eta: 1 day, 8:22:04 time: 0.3976 data_time: 0.0162 memory: 17007 grad_norm: 7.7049 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9397 loss: 1.9397 2022/07/28 12:02:15 - mmengine - INFO - Epoch(train) [102][3400/3757] lr: 4.0460e-03 eta: 1 day, 8:21:56 time: 0.3939 data_time: 0.0142 memory: 17007 grad_norm: 7.7495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9757 loss: 1.9757 2022/07/28 12:02:23 - mmengine - INFO - Epoch(train) [102][3420/3757] lr: 4.0460e-03 eta: 1 day, 8:21:48 time: 0.3994 data_time: 0.0162 memory: 17007 grad_norm: 7.9973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7353 loss: 1.7353 2022/07/28 12:02:31 - mmengine - INFO - Epoch(train) [102][3440/3757] lr: 4.0460e-03 eta: 1 day, 8:21:40 time: 0.3967 data_time: 0.0151 memory: 17007 grad_norm: 8.2246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8240 loss: 1.8240 2022/07/28 12:02:39 - mmengine - INFO - Epoch(train) [102][3460/3757] lr: 4.0460e-03 eta: 1 day, 8:21:32 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 8.0329 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2111 loss: 2.2111 2022/07/28 12:02:47 - mmengine - INFO - Epoch(train) [102][3480/3757] lr: 4.0460e-03 eta: 1 day, 8:21:24 time: 0.3982 data_time: 0.0162 memory: 17007 grad_norm: 7.9513 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9071 loss: 1.9071 2022/07/28 12:02:55 - mmengine - INFO - Epoch(train) [102][3500/3757] lr: 4.0460e-03 eta: 1 day, 8:21:16 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 7.7539 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.8488 loss: 1.8488 2022/07/28 12:03:03 - mmengine - INFO - Epoch(train) [102][3520/3757] lr: 4.0460e-03 eta: 1 day, 8:21:08 time: 0.3991 data_time: 0.0152 memory: 17007 grad_norm: 7.9501 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6076 loss: 1.6076 2022/07/28 12:03:10 - mmengine - INFO - Epoch(train) [102][3540/3757] lr: 4.0460e-03 eta: 1 day, 8:21:00 time: 0.3946 data_time: 0.0160 memory: 17007 grad_norm: 7.7486 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7829 loss: 1.7829 2022/07/28 12:03:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:03:18 - mmengine - INFO - Epoch(train) [102][3560/3757] lr: 4.0460e-03 eta: 1 day, 8:20:52 time: 0.3942 data_time: 0.0132 memory: 17007 grad_norm: 7.8887 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1948 loss: 2.1948 2022/07/28 12:03:26 - mmengine - INFO - Epoch(train) [102][3580/3757] lr: 4.0460e-03 eta: 1 day, 8:20:44 time: 0.3974 data_time: 0.0163 memory: 17007 grad_norm: 7.9397 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2709 loss: 2.2709 2022/07/28 12:03:34 - mmengine - INFO - Epoch(train) [102][3600/3757] lr: 4.0460e-03 eta: 1 day, 8:20:36 time: 0.3943 data_time: 0.0144 memory: 17007 grad_norm: 7.7251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9067 loss: 1.9067 2022/07/28 12:03:42 - mmengine - INFO - Epoch(train) [102][3620/3757] lr: 4.0460e-03 eta: 1 day, 8:20:28 time: 0.3962 data_time: 0.0156 memory: 17007 grad_norm: 8.0641 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1342 loss: 2.1342 2022/07/28 12:03:50 - mmengine - INFO - Epoch(train) [102][3640/3757] lr: 4.0460e-03 eta: 1 day, 8:20:20 time: 0.3940 data_time: 0.0132 memory: 17007 grad_norm: 7.9480 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8077 loss: 1.8077 2022/07/28 12:03:58 - mmengine - INFO - Epoch(train) [102][3660/3757] lr: 4.0460e-03 eta: 1 day, 8:20:12 time: 0.3978 data_time: 0.0170 memory: 17007 grad_norm: 7.9598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7835 loss: 1.7835 2022/07/28 12:04:06 - mmengine - INFO - Epoch(train) [102][3680/3757] lr: 4.0460e-03 eta: 1 day, 8:20:04 time: 0.3957 data_time: 0.0148 memory: 17007 grad_norm: 7.7104 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8668 loss: 1.8668 2022/07/28 12:04:14 - mmengine - INFO - Epoch(train) [102][3700/3757] lr: 4.0460e-03 eta: 1 day, 8:19:56 time: 0.3969 data_time: 0.0173 memory: 17007 grad_norm: 7.8518 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9573 loss: 1.9573 2022/07/28 12:04:22 - mmengine - INFO - Epoch(train) [102][3720/3757] lr: 4.0460e-03 eta: 1 day, 8:19:48 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 8.0600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9790 loss: 1.9790 2022/07/28 12:04:30 - mmengine - INFO - Epoch(train) [102][3740/3757] lr: 4.0460e-03 eta: 1 day, 8:19:41 time: 0.4046 data_time: 0.0165 memory: 17007 grad_norm: 8.1484 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9623 loss: 1.9623 2022/07/28 12:04:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:04:36 - mmengine - INFO - Epoch(train) [102][3757/3757] lr: 4.0460e-03 eta: 1 day, 8:19:41 time: 0.3887 data_time: 0.0137 memory: 17007 grad_norm: 8.1098 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.2187 loss: 2.2187 2022/07/28 12:04:37 - mmengine - INFO - Saving checkpoint at 102 epochs 2022/07/28 12:04:48 - mmengine - INFO - Epoch(train) [103][20/3757] lr: 3.9604e-03 eta: 1 day, 8:19:21 time: 0.4444 data_time: 0.0612 memory: 17007 grad_norm: 8.2077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8106 loss: 1.8106 2022/07/28 12:04:56 - mmengine - INFO - Epoch(train) [103][40/3757] lr: 3.9604e-03 eta: 1 day, 8:19:13 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 7.8641 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7357 loss: 1.7357 2022/07/28 12:05:04 - mmengine - INFO - Epoch(train) [103][60/3757] lr: 3.9604e-03 eta: 1 day, 8:19:06 time: 0.4002 data_time: 0.0153 memory: 17007 grad_norm: 7.8902 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9504 loss: 1.9504 2022/07/28 12:05:12 - mmengine - INFO - Epoch(train) [103][80/3757] lr: 3.9604e-03 eta: 1 day, 8:18:58 time: 0.4017 data_time: 0.0152 memory: 17007 grad_norm: 8.1462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5814 loss: 1.5814 2022/07/28 12:05:20 - mmengine - INFO - Epoch(train) [103][100/3757] lr: 3.9604e-03 eta: 1 day, 8:18:50 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 8.1559 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9536 loss: 1.9536 2022/07/28 12:05:28 - mmengine - INFO - Epoch(train) [103][120/3757] lr: 3.9604e-03 eta: 1 day, 8:18:42 time: 0.3990 data_time: 0.0171 memory: 17007 grad_norm: 7.7102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9586 loss: 1.9586 2022/07/28 12:05:36 - mmengine - INFO - Epoch(train) [103][140/3757] lr: 3.9604e-03 eta: 1 day, 8:18:34 time: 0.4026 data_time: 0.0164 memory: 17007 grad_norm: 8.0023 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9604 loss: 1.9604 2022/07/28 12:05:44 - mmengine - INFO - Epoch(train) [103][160/3757] lr: 3.9604e-03 eta: 1 day, 8:18:26 time: 0.3996 data_time: 0.0162 memory: 17007 grad_norm: 7.8261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5807 loss: 1.5807 2022/07/28 12:05:52 - mmengine - INFO - Epoch(train) [103][180/3757] lr: 3.9604e-03 eta: 1 day, 8:18:18 time: 0.3941 data_time: 0.0148 memory: 17007 grad_norm: 8.1463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1352 loss: 2.1352 2022/07/28 12:06:00 - mmengine - INFO - Epoch(train) [103][200/3757] lr: 3.9604e-03 eta: 1 day, 8:18:10 time: 0.3970 data_time: 0.0152 memory: 17007 grad_norm: 7.7791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9220 loss: 1.9220 2022/07/28 12:06:08 - mmengine - INFO - Epoch(train) [103][220/3757] lr: 3.9604e-03 eta: 1 day, 8:18:02 time: 0.3983 data_time: 0.0175 memory: 17007 grad_norm: 7.7519 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8785 loss: 1.8785 2022/07/28 12:06:16 - mmengine - INFO - Epoch(train) [103][240/3757] lr: 3.9604e-03 eta: 1 day, 8:17:54 time: 0.3956 data_time: 0.0161 memory: 17007 grad_norm: 8.0095 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1736 loss: 2.1736 2022/07/28 12:06:24 - mmengine - INFO - Epoch(train) [103][260/3757] lr: 3.9604e-03 eta: 1 day, 8:17:46 time: 0.3969 data_time: 0.0164 memory: 17007 grad_norm: 7.9542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5540 loss: 1.5540 2022/07/28 12:06:32 - mmengine - INFO - Epoch(train) [103][280/3757] lr: 3.9604e-03 eta: 1 day, 8:17:38 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 7.7326 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5503 loss: 1.5503 2022/07/28 12:06:39 - mmengine - INFO - Epoch(train) [103][300/3757] lr: 3.9604e-03 eta: 1 day, 8:17:30 time: 0.3969 data_time: 0.0140 memory: 17007 grad_norm: 8.3064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9023 loss: 1.9023 2022/07/28 12:06:47 - mmengine - INFO - Epoch(train) [103][320/3757] lr: 3.9604e-03 eta: 1 day, 8:17:22 time: 0.3963 data_time: 0.0156 memory: 17007 grad_norm: 7.7692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8150 loss: 1.8150 2022/07/28 12:06:55 - mmengine - INFO - Epoch(train) [103][340/3757] lr: 3.9604e-03 eta: 1 day, 8:17:14 time: 0.3951 data_time: 0.0147 memory: 17007 grad_norm: 7.6572 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8454 loss: 1.8454 2022/07/28 12:07:03 - mmengine - INFO - Epoch(train) [103][360/3757] lr: 3.9604e-03 eta: 1 day, 8:17:07 time: 0.4057 data_time: 0.0162 memory: 17007 grad_norm: 7.7573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8048 loss: 1.8048 2022/07/28 12:07:11 - mmengine - INFO - Epoch(train) [103][380/3757] lr: 3.9604e-03 eta: 1 day, 8:16:59 time: 0.3951 data_time: 0.0151 memory: 17007 grad_norm: 7.8134 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6810 loss: 1.6810 2022/07/28 12:07:19 - mmengine - INFO - Epoch(train) [103][400/3757] lr: 3.9604e-03 eta: 1 day, 8:16:51 time: 0.3951 data_time: 0.0148 memory: 17007 grad_norm: 8.0812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9192 loss: 1.9192 2022/07/28 12:07:27 - mmengine - INFO - Epoch(train) [103][420/3757] lr: 3.9604e-03 eta: 1 day, 8:16:43 time: 0.3986 data_time: 0.0155 memory: 17007 grad_norm: 8.0901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6850 loss: 1.6850 2022/07/28 12:07:35 - mmengine - INFO - Epoch(train) [103][440/3757] lr: 3.9604e-03 eta: 1 day, 8:16:35 time: 0.3957 data_time: 0.0153 memory: 17007 grad_norm: 7.9141 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7880 loss: 1.7880 2022/07/28 12:07:43 - mmengine - INFO - Epoch(train) [103][460/3757] lr: 3.9604e-03 eta: 1 day, 8:16:27 time: 0.3975 data_time: 0.0166 memory: 17007 grad_norm: 8.0497 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8242 loss: 1.8242 2022/07/28 12:07:51 - mmengine - INFO - Epoch(train) [103][480/3757] lr: 3.9604e-03 eta: 1 day, 8:16:19 time: 0.3948 data_time: 0.0151 memory: 17007 grad_norm: 7.6133 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9005 loss: 1.9005 2022/07/28 12:07:59 - mmengine - INFO - Epoch(train) [103][500/3757] lr: 3.9604e-03 eta: 1 day, 8:16:11 time: 0.3999 data_time: 0.0158 memory: 17007 grad_norm: 7.9776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7926 loss: 1.7926 2022/07/28 12:08:07 - mmengine - INFO - Epoch(train) [103][520/3757] lr: 3.9604e-03 eta: 1 day, 8:16:03 time: 0.3977 data_time: 0.0166 memory: 17007 grad_norm: 7.6115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6863 loss: 1.6863 2022/07/28 12:08:15 - mmengine - INFO - Epoch(train) [103][540/3757] lr: 3.9604e-03 eta: 1 day, 8:15:55 time: 0.3952 data_time: 0.0143 memory: 17007 grad_norm: 7.6602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7943 loss: 1.7943 2022/07/28 12:08:23 - mmengine - INFO - Epoch(train) [103][560/3757] lr: 3.9604e-03 eta: 1 day, 8:15:47 time: 0.3982 data_time: 0.0166 memory: 17007 grad_norm: 7.8998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9898 loss: 1.9898 2022/07/28 12:08:31 - mmengine - INFO - Epoch(train) [103][580/3757] lr: 3.9604e-03 eta: 1 day, 8:15:39 time: 0.3918 data_time: 0.0133 memory: 17007 grad_norm: 7.8121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8002 loss: 1.8002 2022/07/28 12:08:39 - mmengine - INFO - Epoch(train) [103][600/3757] lr: 3.9604e-03 eta: 1 day, 8:15:31 time: 0.4085 data_time: 0.0171 memory: 17007 grad_norm: 7.7556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6640 loss: 1.6640 2022/07/28 12:08:47 - mmengine - INFO - Epoch(train) [103][620/3757] lr: 3.9604e-03 eta: 1 day, 8:15:23 time: 0.3954 data_time: 0.0159 memory: 17007 grad_norm: 8.1393 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.7037 loss: 1.7037 2022/07/28 12:08:55 - mmengine - INFO - Epoch(train) [103][640/3757] lr: 3.9604e-03 eta: 1 day, 8:15:15 time: 0.3949 data_time: 0.0147 memory: 17007 grad_norm: 8.0274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1640 loss: 2.1640 2022/07/28 12:09:03 - mmengine - INFO - Epoch(train) [103][660/3757] lr: 3.9604e-03 eta: 1 day, 8:15:08 time: 0.4054 data_time: 0.0185 memory: 17007 grad_norm: 8.0831 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7368 loss: 1.7368 2022/07/28 12:09:11 - mmengine - INFO - Epoch(train) [103][680/3757] lr: 3.9604e-03 eta: 1 day, 8:15:00 time: 0.3949 data_time: 0.0153 memory: 17007 grad_norm: 8.0966 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1478 loss: 2.1478 2022/07/28 12:09:19 - mmengine - INFO - Epoch(train) [103][700/3757] lr: 3.9604e-03 eta: 1 day, 8:14:52 time: 0.3946 data_time: 0.0151 memory: 17007 grad_norm: 7.5919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6828 loss: 1.6828 2022/07/28 12:09:27 - mmengine - INFO - Epoch(train) [103][720/3757] lr: 3.9604e-03 eta: 1 day, 8:14:44 time: 0.3950 data_time: 0.0162 memory: 17007 grad_norm: 7.8539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8304 loss: 1.8304 2022/07/28 12:09:35 - mmengine - INFO - Epoch(train) [103][740/3757] lr: 3.9604e-03 eta: 1 day, 8:14:36 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 7.8132 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5889 loss: 1.5889 2022/07/28 12:09:43 - mmengine - INFO - Epoch(train) [103][760/3757] lr: 3.9604e-03 eta: 1 day, 8:14:28 time: 0.3961 data_time: 0.0151 memory: 17007 grad_norm: 7.8115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7541 loss: 1.7541 2022/07/28 12:09:50 - mmengine - INFO - Epoch(train) [103][780/3757] lr: 3.9604e-03 eta: 1 day, 8:14:20 time: 0.3933 data_time: 0.0149 memory: 17007 grad_norm: 7.8515 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9307 loss: 1.9307 2022/07/28 12:09:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:09:58 - mmengine - INFO - Epoch(train) [103][800/3757] lr: 3.9604e-03 eta: 1 day, 8:14:12 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 8.0819 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9799 loss: 1.9799 2022/07/28 12:10:06 - mmengine - INFO - Epoch(train) [103][820/3757] lr: 3.9604e-03 eta: 1 day, 8:14:04 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 7.9221 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8002 loss: 1.8002 2022/07/28 12:10:14 - mmengine - INFO - Epoch(train) [103][840/3757] lr: 3.9604e-03 eta: 1 day, 8:13:56 time: 0.3975 data_time: 0.0155 memory: 17007 grad_norm: 7.7450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6690 loss: 1.6690 2022/07/28 12:10:22 - mmengine - INFO - Epoch(train) [103][860/3757] lr: 3.9604e-03 eta: 1 day, 8:13:48 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 7.9554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9957 loss: 1.9957 2022/07/28 12:10:30 - mmengine - INFO - Epoch(train) [103][880/3757] lr: 3.9604e-03 eta: 1 day, 8:13:40 time: 0.3959 data_time: 0.0160 memory: 17007 grad_norm: 8.0240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9019 loss: 1.9019 2022/07/28 12:10:38 - mmengine - INFO - Epoch(train) [103][900/3757] lr: 3.9604e-03 eta: 1 day, 8:13:32 time: 0.3998 data_time: 0.0142 memory: 17007 grad_norm: 8.1011 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0617 loss: 2.0617 2022/07/28 12:10:46 - mmengine - INFO - Epoch(train) [103][920/3757] lr: 3.9604e-03 eta: 1 day, 8:13:24 time: 0.3955 data_time: 0.0155 memory: 17007 grad_norm: 7.9987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8389 loss: 1.8389 2022/07/28 12:10:54 - mmengine - INFO - Epoch(train) [103][940/3757] lr: 3.9604e-03 eta: 1 day, 8:13:16 time: 0.4028 data_time: 0.0174 memory: 17007 grad_norm: 7.9853 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/07/28 12:11:02 - mmengine - INFO - Epoch(train) [103][960/3757] lr: 3.9604e-03 eta: 1 day, 8:13:08 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 7.9472 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7990 loss: 1.7990 2022/07/28 12:11:10 - mmengine - INFO - Epoch(train) [103][980/3757] lr: 3.9604e-03 eta: 1 day, 8:13:00 time: 0.3943 data_time: 0.0141 memory: 17007 grad_norm: 7.8017 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7688 loss: 1.7688 2022/07/28 12:11:18 - mmengine - INFO - Epoch(train) [103][1000/3757] lr: 3.9604e-03 eta: 1 day, 8:12:52 time: 0.3980 data_time: 0.0157 memory: 17007 grad_norm: 8.0683 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6141 loss: 1.6141 2022/07/28 12:11:26 - mmengine - INFO - Epoch(train) [103][1020/3757] lr: 3.9604e-03 eta: 1 day, 8:12:44 time: 0.3936 data_time: 0.0126 memory: 17007 grad_norm: 7.5497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0776 loss: 2.0776 2022/07/28 12:11:34 - mmengine - INFO - Epoch(train) [103][1040/3757] lr: 3.9604e-03 eta: 1 day, 8:12:36 time: 0.3970 data_time: 0.0158 memory: 17007 grad_norm: 8.1168 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9914 loss: 1.9914 2022/07/28 12:11:41 - mmengine - INFO - Epoch(train) [103][1060/3757] lr: 3.9604e-03 eta: 1 day, 8:12:28 time: 0.3932 data_time: 0.0134 memory: 17007 grad_norm: 7.8036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9698 loss: 1.9698 2022/07/28 12:11:49 - mmengine - INFO - Epoch(train) [103][1080/3757] lr: 3.9604e-03 eta: 1 day, 8:12:20 time: 0.3946 data_time: 0.0151 memory: 17007 grad_norm: 7.9889 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9039 loss: 1.9039 2022/07/28 12:11:57 - mmengine - INFO - Epoch(train) [103][1100/3757] lr: 3.9604e-03 eta: 1 day, 8:12:12 time: 0.3960 data_time: 0.0158 memory: 17007 grad_norm: 7.9950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0137 loss: 2.0137 2022/07/28 12:12:05 - mmengine - INFO - Epoch(train) [103][1120/3757] lr: 3.9604e-03 eta: 1 day, 8:12:04 time: 0.3950 data_time: 0.0161 memory: 17007 grad_norm: 7.8989 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9755 loss: 1.9755 2022/07/28 12:12:13 - mmengine - INFO - Epoch(train) [103][1140/3757] lr: 3.9604e-03 eta: 1 day, 8:11:56 time: 0.3993 data_time: 0.0144 memory: 17007 grad_norm: 7.9052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6807 loss: 1.6807 2022/07/28 12:12:21 - mmengine - INFO - Epoch(train) [103][1160/3757] lr: 3.9604e-03 eta: 1 day, 8:11:49 time: 0.3955 data_time: 0.0163 memory: 17007 grad_norm: 7.9878 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9737 loss: 1.9737 2022/07/28 12:12:29 - mmengine - INFO - Epoch(train) [103][1180/3757] lr: 3.9604e-03 eta: 1 day, 8:11:41 time: 0.3950 data_time: 0.0154 memory: 17007 grad_norm: 7.8926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7525 loss: 1.7525 2022/07/28 12:12:37 - mmengine - INFO - Epoch(train) [103][1200/3757] lr: 3.9604e-03 eta: 1 day, 8:11:33 time: 0.3977 data_time: 0.0169 memory: 17007 grad_norm: 7.9067 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7392 loss: 1.7392 2022/07/28 12:12:45 - mmengine - INFO - Epoch(train) [103][1220/3757] lr: 3.9604e-03 eta: 1 day, 8:11:25 time: 0.3936 data_time: 0.0138 memory: 17007 grad_norm: 8.2387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9338 loss: 1.9338 2022/07/28 12:12:53 - mmengine - INFO - Epoch(train) [103][1240/3757] lr: 3.9604e-03 eta: 1 day, 8:11:17 time: 0.3962 data_time: 0.0160 memory: 17007 grad_norm: 7.9786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9500 loss: 1.9500 2022/07/28 12:13:01 - mmengine - INFO - Epoch(train) [103][1260/3757] lr: 3.9604e-03 eta: 1 day, 8:11:09 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 8.1827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6468 loss: 1.6468 2022/07/28 12:13:09 - mmengine - INFO - Epoch(train) [103][1280/3757] lr: 3.9604e-03 eta: 1 day, 8:11:01 time: 0.3986 data_time: 0.0167 memory: 17007 grad_norm: 7.9471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7801 loss: 1.7801 2022/07/28 12:13:17 - mmengine - INFO - Epoch(train) [103][1300/3757] lr: 3.9604e-03 eta: 1 day, 8:10:53 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 8.1976 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8139 loss: 1.8139 2022/07/28 12:13:25 - mmengine - INFO - Epoch(train) [103][1320/3757] lr: 3.9604e-03 eta: 1 day, 8:10:45 time: 0.3981 data_time: 0.0151 memory: 17007 grad_norm: 8.3127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0613 loss: 2.0613 2022/07/28 12:13:32 - mmengine - INFO - Epoch(train) [103][1340/3757] lr: 3.9604e-03 eta: 1 day, 8:10:37 time: 0.3944 data_time: 0.0150 memory: 17007 grad_norm: 8.0040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8491 loss: 1.8491 2022/07/28 12:13:40 - mmengine - INFO - Epoch(train) [103][1360/3757] lr: 3.9604e-03 eta: 1 day, 8:10:29 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 8.0332 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8085 loss: 1.8085 2022/07/28 12:13:48 - mmengine - INFO - Epoch(train) [103][1380/3757] lr: 3.9604e-03 eta: 1 day, 8:10:21 time: 0.3955 data_time: 0.0156 memory: 17007 grad_norm: 7.7224 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0616 loss: 2.0616 2022/07/28 12:13:56 - mmengine - INFO - Epoch(train) [103][1400/3757] lr: 3.9604e-03 eta: 1 day, 8:10:13 time: 0.3956 data_time: 0.0159 memory: 17007 grad_norm: 8.1481 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9097 loss: 1.9097 2022/07/28 12:14:04 - mmengine - INFO - Epoch(train) [103][1420/3757] lr: 3.9604e-03 eta: 1 day, 8:10:05 time: 0.3987 data_time: 0.0162 memory: 17007 grad_norm: 7.6563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7707 loss: 1.7707 2022/07/28 12:14:12 - mmengine - INFO - Epoch(train) [103][1440/3757] lr: 3.9604e-03 eta: 1 day, 8:09:57 time: 0.3935 data_time: 0.0143 memory: 17007 grad_norm: 7.8047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8150 loss: 1.8150 2022/07/28 12:14:20 - mmengine - INFO - Epoch(train) [103][1460/3757] lr: 3.9604e-03 eta: 1 day, 8:09:49 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 8.0180 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0188 loss: 2.0188 2022/07/28 12:14:28 - mmengine - INFO - Epoch(train) [103][1480/3757] lr: 3.9604e-03 eta: 1 day, 8:09:41 time: 0.3960 data_time: 0.0166 memory: 17007 grad_norm: 7.9186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8717 loss: 1.8717 2022/07/28 12:14:36 - mmengine - INFO - Epoch(train) [103][1500/3757] lr: 3.9604e-03 eta: 1 day, 8:09:33 time: 0.3936 data_time: 0.0141 memory: 17007 grad_norm: 7.9767 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9129 loss: 1.9129 2022/07/28 12:14:44 - mmengine - INFO - Epoch(train) [103][1520/3757] lr: 3.9604e-03 eta: 1 day, 8:09:25 time: 0.3977 data_time: 0.0167 memory: 17007 grad_norm: 7.6276 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7088 loss: 1.7088 2022/07/28 12:14:52 - mmengine - INFO - Epoch(train) [103][1540/3757] lr: 3.9604e-03 eta: 1 day, 8:09:17 time: 0.3913 data_time: 0.0136 memory: 17007 grad_norm: 8.0840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9260 loss: 1.9260 2022/07/28 12:15:00 - mmengine - INFO - Epoch(train) [103][1560/3757] lr: 3.9604e-03 eta: 1 day, 8:09:09 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 7.8944 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4480 loss: 1.4480 2022/07/28 12:15:08 - mmengine - INFO - Epoch(train) [103][1580/3757] lr: 3.9604e-03 eta: 1 day, 8:09:01 time: 0.3979 data_time: 0.0155 memory: 17007 grad_norm: 7.7420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9134 loss: 1.9134 2022/07/28 12:15:15 - mmengine - INFO - Epoch(train) [103][1600/3757] lr: 3.9604e-03 eta: 1 day, 8:08:53 time: 0.3959 data_time: 0.0162 memory: 17007 grad_norm: 7.9099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4654 loss: 1.4654 2022/07/28 12:15:23 - mmengine - INFO - Epoch(train) [103][1620/3757] lr: 3.9604e-03 eta: 1 day, 8:08:45 time: 0.3977 data_time: 0.0163 memory: 17007 grad_norm: 7.7175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8724 loss: 1.8724 2022/07/28 12:15:31 - mmengine - INFO - Epoch(train) [103][1640/3757] lr: 3.9604e-03 eta: 1 day, 8:08:37 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 8.3146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6440 loss: 1.6440 2022/07/28 12:15:40 - mmengine - INFO - Epoch(train) [103][1660/3757] lr: 3.9604e-03 eta: 1 day, 8:08:30 time: 0.4386 data_time: 0.0148 memory: 17007 grad_norm: 7.9801 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7232 loss: 1.7232 2022/07/28 12:15:48 - mmengine - INFO - Epoch(train) [103][1680/3757] lr: 3.9604e-03 eta: 1 day, 8:08:22 time: 0.4041 data_time: 0.0153 memory: 17007 grad_norm: 8.3313 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.7830 loss: 1.7830 2022/07/28 12:15:56 - mmengine - INFO - Epoch(train) [103][1700/3757] lr: 3.9604e-03 eta: 1 day, 8:08:14 time: 0.3958 data_time: 0.0154 memory: 17007 grad_norm: 7.9618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7528 loss: 1.7528 2022/07/28 12:16:04 - mmengine - INFO - Epoch(train) [103][1720/3757] lr: 3.9604e-03 eta: 1 day, 8:08:06 time: 0.3951 data_time: 0.0157 memory: 17007 grad_norm: 7.9254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8594 loss: 1.8594 2022/07/28 12:16:12 - mmengine - INFO - Epoch(train) [103][1740/3757] lr: 3.9604e-03 eta: 1 day, 8:07:58 time: 0.3931 data_time: 0.0144 memory: 17007 grad_norm: 8.0520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7215 loss: 1.7215 2022/07/28 12:16:20 - mmengine - INFO - Epoch(train) [103][1760/3757] lr: 3.9604e-03 eta: 1 day, 8:07:50 time: 0.3935 data_time: 0.0144 memory: 17007 grad_norm: 8.1349 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7894 loss: 1.7894 2022/07/28 12:16:28 - mmengine - INFO - Epoch(train) [103][1780/3757] lr: 3.9604e-03 eta: 1 day, 8:07:42 time: 0.4006 data_time: 0.0160 memory: 17007 grad_norm: 8.1614 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6972 loss: 1.6972 2022/07/28 12:16:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:16:36 - mmengine - INFO - Epoch(train) [103][1800/3757] lr: 3.9604e-03 eta: 1 day, 8:07:34 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 7.9642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6012 loss: 1.6012 2022/07/28 12:16:44 - mmengine - INFO - Epoch(train) [103][1820/3757] lr: 3.9604e-03 eta: 1 day, 8:07:26 time: 0.3996 data_time: 0.0160 memory: 17007 grad_norm: 7.9557 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3053 loss: 2.3053 2022/07/28 12:16:52 - mmengine - INFO - Epoch(train) [103][1840/3757] lr: 3.9604e-03 eta: 1 day, 8:07:18 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 7.8342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6676 loss: 1.6676 2022/07/28 12:16:59 - mmengine - INFO - Epoch(train) [103][1860/3757] lr: 3.9604e-03 eta: 1 day, 8:07:10 time: 0.3933 data_time: 0.0147 memory: 17007 grad_norm: 7.9548 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8700 loss: 1.8700 2022/07/28 12:17:07 - mmengine - INFO - Epoch(train) [103][1880/3757] lr: 3.9604e-03 eta: 1 day, 8:07:03 time: 0.3969 data_time: 0.0167 memory: 17007 grad_norm: 8.1898 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8206 loss: 1.8206 2022/07/28 12:17:15 - mmengine - INFO - Epoch(train) [103][1900/3757] lr: 3.9604e-03 eta: 1 day, 8:06:55 time: 0.3959 data_time: 0.0142 memory: 17007 grad_norm: 8.2222 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0077 loss: 2.0077 2022/07/28 12:17:24 - mmengine - INFO - Epoch(train) [103][1920/3757] lr: 3.9604e-03 eta: 1 day, 8:06:47 time: 0.4164 data_time: 0.0174 memory: 17007 grad_norm: 8.0772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8213 loss: 1.8213 2022/07/28 12:17:32 - mmengine - INFO - Epoch(train) [103][1940/3757] lr: 3.9604e-03 eta: 1 day, 8:06:39 time: 0.3941 data_time: 0.0151 memory: 17007 grad_norm: 8.0858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5089 loss: 1.5089 2022/07/28 12:17:40 - mmengine - INFO - Epoch(train) [103][1960/3757] lr: 3.9604e-03 eta: 1 day, 8:06:31 time: 0.3952 data_time: 0.0158 memory: 17007 grad_norm: 8.1466 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6841 loss: 1.6841 2022/07/28 12:17:48 - mmengine - INFO - Epoch(train) [103][1980/3757] lr: 3.9604e-03 eta: 1 day, 8:06:23 time: 0.4028 data_time: 0.0152 memory: 17007 grad_norm: 7.9024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8066 loss: 1.8066 2022/07/28 12:17:55 - mmengine - INFO - Epoch(train) [103][2000/3757] lr: 3.9604e-03 eta: 1 day, 8:06:15 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 7.6157 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6192 loss: 1.6192 2022/07/28 12:18:04 - mmengine - INFO - Epoch(train) [103][2020/3757] lr: 3.9604e-03 eta: 1 day, 8:06:07 time: 0.4074 data_time: 0.0154 memory: 17007 grad_norm: 7.6752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9695 loss: 1.9695 2022/07/28 12:18:12 - mmengine - INFO - Epoch(train) [103][2040/3757] lr: 3.9604e-03 eta: 1 day, 8:05:59 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 8.1942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8109 loss: 1.8109 2022/07/28 12:18:19 - mmengine - INFO - Epoch(train) [103][2060/3757] lr: 3.9604e-03 eta: 1 day, 8:05:51 time: 0.3953 data_time: 0.0149 memory: 17007 grad_norm: 8.0083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7731 loss: 1.7731 2022/07/28 12:18:27 - mmengine - INFO - Epoch(train) [103][2080/3757] lr: 3.9604e-03 eta: 1 day, 8:05:43 time: 0.3967 data_time: 0.0168 memory: 17007 grad_norm: 7.8473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8720 loss: 1.8720 2022/07/28 12:18:35 - mmengine - INFO - Epoch(train) [103][2100/3757] lr: 3.9604e-03 eta: 1 day, 8:05:35 time: 0.3938 data_time: 0.0142 memory: 17007 grad_norm: 8.1602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1300 loss: 2.1300 2022/07/28 12:18:43 - mmengine - INFO - Epoch(train) [103][2120/3757] lr: 3.9604e-03 eta: 1 day, 8:05:28 time: 0.3977 data_time: 0.0165 memory: 17007 grad_norm: 7.5888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7219 loss: 1.7219 2022/07/28 12:18:51 - mmengine - INFO - Epoch(train) [103][2140/3757] lr: 3.9604e-03 eta: 1 day, 8:05:20 time: 0.3964 data_time: 0.0133 memory: 17007 grad_norm: 8.0373 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9721 loss: 1.9721 2022/07/28 12:18:59 - mmengine - INFO - Epoch(train) [103][2160/3757] lr: 3.9604e-03 eta: 1 day, 8:05:12 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 7.9326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6817 loss: 1.6817 2022/07/28 12:19:07 - mmengine - INFO - Epoch(train) [103][2180/3757] lr: 3.9604e-03 eta: 1 day, 8:05:04 time: 0.3983 data_time: 0.0158 memory: 17007 grad_norm: 7.7872 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0027 loss: 2.0027 2022/07/28 12:19:15 - mmengine - INFO - Epoch(train) [103][2200/3757] lr: 3.9604e-03 eta: 1 day, 8:04:56 time: 0.3954 data_time: 0.0159 memory: 17007 grad_norm: 7.8545 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9192 loss: 1.9192 2022/07/28 12:19:23 - mmengine - INFO - Epoch(train) [103][2220/3757] lr: 3.9604e-03 eta: 1 day, 8:04:48 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 8.3587 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2163 loss: 2.2163 2022/07/28 12:19:31 - mmengine - INFO - Epoch(train) [103][2240/3757] lr: 3.9604e-03 eta: 1 day, 8:04:40 time: 0.4055 data_time: 0.0174 memory: 17007 grad_norm: 8.1290 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2299 loss: 2.2299 2022/07/28 12:19:39 - mmengine - INFO - Epoch(train) [103][2260/3757] lr: 3.9604e-03 eta: 1 day, 8:04:32 time: 0.3957 data_time: 0.0157 memory: 17007 grad_norm: 8.0059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8396 loss: 1.8396 2022/07/28 12:19:47 - mmengine - INFO - Epoch(train) [103][2280/3757] lr: 3.9604e-03 eta: 1 day, 8:04:24 time: 0.3956 data_time: 0.0162 memory: 17007 grad_norm: 7.8465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5528 loss: 1.5528 2022/07/28 12:19:55 - mmengine - INFO - Epoch(train) [103][2300/3757] lr: 3.9604e-03 eta: 1 day, 8:04:16 time: 0.3948 data_time: 0.0148 memory: 17007 grad_norm: 8.1123 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1030 loss: 2.1030 2022/07/28 12:20:03 - mmengine - INFO - Epoch(train) [103][2320/3757] lr: 3.9604e-03 eta: 1 day, 8:04:08 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 7.9016 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9407 loss: 1.9407 2022/07/28 12:20:11 - mmengine - INFO - Epoch(train) [103][2340/3757] lr: 3.9604e-03 eta: 1 day, 8:04:00 time: 0.3971 data_time: 0.0154 memory: 17007 grad_norm: 8.3759 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2968 loss: 2.2968 2022/07/28 12:20:19 - mmengine - INFO - Epoch(train) [103][2360/3757] lr: 3.9604e-03 eta: 1 day, 8:03:52 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 7.9603 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1315 loss: 2.1315 2022/07/28 12:20:27 - mmengine - INFO - Epoch(train) [103][2380/3757] lr: 3.9604e-03 eta: 1 day, 8:03:44 time: 0.4005 data_time: 0.0147 memory: 17007 grad_norm: 7.8427 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6366 loss: 1.6366 2022/07/28 12:20:35 - mmengine - INFO - Epoch(train) [103][2400/3757] lr: 3.9604e-03 eta: 1 day, 8:03:36 time: 0.3973 data_time: 0.0155 memory: 17007 grad_norm: 7.7421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8029 loss: 1.8029 2022/07/28 12:20:42 - mmengine - INFO - Epoch(train) [103][2420/3757] lr: 3.9604e-03 eta: 1 day, 8:03:28 time: 0.3934 data_time: 0.0137 memory: 17007 grad_norm: 7.9381 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1400 loss: 2.1400 2022/07/28 12:20:50 - mmengine - INFO - Epoch(train) [103][2440/3757] lr: 3.9604e-03 eta: 1 day, 8:03:20 time: 0.4013 data_time: 0.0158 memory: 17007 grad_norm: 7.6318 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8439 loss: 1.8439 2022/07/28 12:20:58 - mmengine - INFO - Epoch(train) [103][2460/3757] lr: 3.9604e-03 eta: 1 day, 8:03:12 time: 0.3972 data_time: 0.0167 memory: 17007 grad_norm: 7.6942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6616 loss: 1.6616 2022/07/28 12:21:06 - mmengine - INFO - Epoch(train) [103][2480/3757] lr: 3.9604e-03 eta: 1 day, 8:03:05 time: 0.3969 data_time: 0.0153 memory: 17007 grad_norm: 7.7684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9002 loss: 1.9002 2022/07/28 12:21:14 - mmengine - INFO - Epoch(train) [103][2500/3757] lr: 3.9604e-03 eta: 1 day, 8:02:57 time: 0.3961 data_time: 0.0158 memory: 17007 grad_norm: 7.9807 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1977 loss: 2.1977 2022/07/28 12:21:22 - mmengine - INFO - Epoch(train) [103][2520/3757] lr: 3.9604e-03 eta: 1 day, 8:02:49 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 7.8822 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5707 loss: 1.5707 2022/07/28 12:21:30 - mmengine - INFO - Epoch(train) [103][2540/3757] lr: 3.9604e-03 eta: 1 day, 8:02:41 time: 0.4068 data_time: 0.0153 memory: 17007 grad_norm: 8.0173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7587 loss: 1.7587 2022/07/28 12:21:38 - mmengine - INFO - Epoch(train) [103][2560/3757] lr: 3.9604e-03 eta: 1 day, 8:02:33 time: 0.3971 data_time: 0.0166 memory: 17007 grad_norm: 8.2433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9634 loss: 1.9634 2022/07/28 12:21:46 - mmengine - INFO - Epoch(train) [103][2580/3757] lr: 3.9604e-03 eta: 1 day, 8:02:25 time: 0.3963 data_time: 0.0146 memory: 17007 grad_norm: 7.9867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9697 loss: 1.9697 2022/07/28 12:21:54 - mmengine - INFO - Epoch(train) [103][2600/3757] lr: 3.9604e-03 eta: 1 day, 8:02:17 time: 0.3980 data_time: 0.0170 memory: 17007 grad_norm: 8.0234 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8263 loss: 1.8263 2022/07/28 12:22:02 - mmengine - INFO - Epoch(train) [103][2620/3757] lr: 3.9604e-03 eta: 1 day, 8:02:09 time: 0.3933 data_time: 0.0149 memory: 17007 grad_norm: 7.8872 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7842 loss: 1.7842 2022/07/28 12:22:10 - mmengine - INFO - Epoch(train) [103][2640/3757] lr: 3.9604e-03 eta: 1 day, 8:02:01 time: 0.4024 data_time: 0.0149 memory: 17007 grad_norm: 8.0140 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8633 loss: 1.8633 2022/07/28 12:22:19 - mmengine - INFO - Epoch(train) [103][2660/3757] lr: 3.9604e-03 eta: 1 day, 8:01:54 time: 0.4420 data_time: 0.0168 memory: 17007 grad_norm: 8.1190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7965 loss: 1.7965 2022/07/28 12:22:27 - mmengine - INFO - Epoch(train) [103][2680/3757] lr: 3.9604e-03 eta: 1 day, 8:01:46 time: 0.4035 data_time: 0.0152 memory: 17007 grad_norm: 7.9119 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0530 loss: 2.0530 2022/07/28 12:22:35 - mmengine - INFO - Epoch(train) [103][2700/3757] lr: 3.9604e-03 eta: 1 day, 8:01:38 time: 0.4004 data_time: 0.0161 memory: 17007 grad_norm: 8.4403 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8130 loss: 1.8130 2022/07/28 12:22:43 - mmengine - INFO - Epoch(train) [103][2720/3757] lr: 3.9604e-03 eta: 1 day, 8:01:30 time: 0.3955 data_time: 0.0154 memory: 17007 grad_norm: 8.0516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8957 loss: 1.8957 2022/07/28 12:22:51 - mmengine - INFO - Epoch(train) [103][2740/3757] lr: 3.9604e-03 eta: 1 day, 8:01:22 time: 0.3950 data_time: 0.0147 memory: 17007 grad_norm: 7.7331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9182 loss: 1.9182 2022/07/28 12:22:59 - mmengine - INFO - Epoch(train) [103][2760/3757] lr: 3.9604e-03 eta: 1 day, 8:01:14 time: 0.3980 data_time: 0.0169 memory: 17007 grad_norm: 8.1346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7411 loss: 1.7411 2022/07/28 12:23:07 - mmengine - INFO - Epoch(train) [103][2780/3757] lr: 3.9604e-03 eta: 1 day, 8:01:06 time: 0.3963 data_time: 0.0139 memory: 17007 grad_norm: 8.2595 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5737 loss: 1.5737 2022/07/28 12:23:09 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:23:15 - mmengine - INFO - Epoch(train) [103][2800/3757] lr: 3.9604e-03 eta: 1 day, 8:00:58 time: 0.3990 data_time: 0.0161 memory: 17007 grad_norm: 7.9666 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7204 loss: 1.7204 2022/07/28 12:23:23 - mmengine - INFO - Epoch(train) [103][2820/3757] lr: 3.9604e-03 eta: 1 day, 8:00:50 time: 0.4029 data_time: 0.0134 memory: 17007 grad_norm: 8.0262 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7526 loss: 1.7526 2022/07/28 12:23:31 - mmengine - INFO - Epoch(train) [103][2840/3757] lr: 3.9604e-03 eta: 1 day, 8:00:43 time: 0.3949 data_time: 0.0153 memory: 17007 grad_norm: 7.8137 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5767 loss: 1.5767 2022/07/28 12:23:39 - mmengine - INFO - Epoch(train) [103][2860/3757] lr: 3.9604e-03 eta: 1 day, 8:00:35 time: 0.4103 data_time: 0.0168 memory: 17007 grad_norm: 8.1511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1004 loss: 2.1004 2022/07/28 12:23:47 - mmengine - INFO - Epoch(train) [103][2880/3757] lr: 3.9604e-03 eta: 1 day, 8:00:27 time: 0.3994 data_time: 0.0154 memory: 17007 grad_norm: 7.9090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8098 loss: 1.8098 2022/07/28 12:23:55 - mmengine - INFO - Epoch(train) [103][2900/3757] lr: 3.9604e-03 eta: 1 day, 8:00:19 time: 0.4015 data_time: 0.0152 memory: 17007 grad_norm: 7.8486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0100 loss: 2.0100 2022/07/28 12:24:03 - mmengine - INFO - Epoch(train) [103][2920/3757] lr: 3.9604e-03 eta: 1 day, 8:00:11 time: 0.3953 data_time: 0.0157 memory: 17007 grad_norm: 8.2180 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9334 loss: 1.9334 2022/07/28 12:24:11 - mmengine - INFO - Epoch(train) [103][2940/3757] lr: 3.9604e-03 eta: 1 day, 8:00:03 time: 0.3955 data_time: 0.0141 memory: 17007 grad_norm: 7.7438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7542 loss: 1.7542 2022/07/28 12:24:19 - mmengine - INFO - Epoch(train) [103][2960/3757] lr: 3.9604e-03 eta: 1 day, 7:59:55 time: 0.3971 data_time: 0.0175 memory: 17007 grad_norm: 7.8786 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6987 loss: 1.6987 2022/07/28 12:24:27 - mmengine - INFO - Epoch(train) [103][2980/3757] lr: 3.9604e-03 eta: 1 day, 7:59:47 time: 0.3928 data_time: 0.0145 memory: 17007 grad_norm: 7.6629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3388 loss: 1.3388 2022/07/28 12:24:35 - mmengine - INFO - Epoch(train) [103][3000/3757] lr: 3.9604e-03 eta: 1 day, 7:59:39 time: 0.4103 data_time: 0.0169 memory: 17007 grad_norm: 7.9552 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5495 loss: 1.5495 2022/07/28 12:24:43 - mmengine - INFO - Epoch(train) [103][3020/3757] lr: 3.9604e-03 eta: 1 day, 7:59:31 time: 0.3947 data_time: 0.0156 memory: 17007 grad_norm: 8.1221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6706 loss: 1.6706 2022/07/28 12:24:51 - mmengine - INFO - Epoch(train) [103][3040/3757] lr: 3.9604e-03 eta: 1 day, 7:59:23 time: 0.3955 data_time: 0.0151 memory: 17007 grad_norm: 8.1131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8983 loss: 1.8983 2022/07/28 12:24:59 - mmengine - INFO - Epoch(train) [103][3060/3757] lr: 3.9604e-03 eta: 1 day, 7:59:16 time: 0.4095 data_time: 0.0160 memory: 17007 grad_norm: 8.3839 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0098 loss: 2.0098 2022/07/28 12:25:07 - mmengine - INFO - Epoch(train) [103][3080/3757] lr: 3.9604e-03 eta: 1 day, 7:59:08 time: 0.3965 data_time: 0.0154 memory: 17007 grad_norm: 8.0275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7534 loss: 1.7534 2022/07/28 12:25:15 - mmengine - INFO - Epoch(train) [103][3100/3757] lr: 3.9604e-03 eta: 1 day, 7:59:00 time: 0.3952 data_time: 0.0160 memory: 17007 grad_norm: 7.8229 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9292 loss: 1.9292 2022/07/28 12:25:23 - mmengine - INFO - Epoch(train) [103][3120/3757] lr: 3.9604e-03 eta: 1 day, 7:58:52 time: 0.3942 data_time: 0.0148 memory: 17007 grad_norm: 8.0162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1771 loss: 2.1771 2022/07/28 12:25:31 - mmengine - INFO - Epoch(train) [103][3140/3757] lr: 3.9604e-03 eta: 1 day, 7:58:44 time: 0.3942 data_time: 0.0141 memory: 17007 grad_norm: 7.8606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9459 loss: 1.9459 2022/07/28 12:25:39 - mmengine - INFO - Epoch(train) [103][3160/3757] lr: 3.9604e-03 eta: 1 day, 7:58:36 time: 0.3954 data_time: 0.0163 memory: 17007 grad_norm: 7.8897 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6688 loss: 1.6688 2022/07/28 12:25:47 - mmengine - INFO - Epoch(train) [103][3180/3757] lr: 3.9604e-03 eta: 1 day, 7:58:28 time: 0.3954 data_time: 0.0160 memory: 17007 grad_norm: 7.8366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5913 loss: 1.5913 2022/07/28 12:25:55 - mmengine - INFO - Epoch(train) [103][3200/3757] lr: 3.9604e-03 eta: 1 day, 7:58:20 time: 0.4025 data_time: 0.0175 memory: 17007 grad_norm: 7.9635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9128 loss: 1.9128 2022/07/28 12:26:03 - mmengine - INFO - Epoch(train) [103][3220/3757] lr: 3.9604e-03 eta: 1 day, 7:58:12 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 7.9456 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9602 loss: 1.9602 2022/07/28 12:26:11 - mmengine - INFO - Epoch(train) [103][3240/3757] lr: 3.9604e-03 eta: 1 day, 7:58:04 time: 0.4003 data_time: 0.0155 memory: 17007 grad_norm: 8.2438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2863 loss: 2.2863 2022/07/28 12:26:19 - mmengine - INFO - Epoch(train) [103][3260/3757] lr: 3.9604e-03 eta: 1 day, 7:57:56 time: 0.4014 data_time: 0.0160 memory: 17007 grad_norm: 7.9431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6256 loss: 1.6256 2022/07/28 12:26:27 - mmengine - INFO - Epoch(train) [103][3280/3757] lr: 3.9604e-03 eta: 1 day, 7:57:49 time: 0.4130 data_time: 0.0152 memory: 17007 grad_norm: 8.1624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8183 loss: 1.8183 2022/07/28 12:26:35 - mmengine - INFO - Epoch(train) [103][3300/3757] lr: 3.9604e-03 eta: 1 day, 7:57:41 time: 0.3979 data_time: 0.0161 memory: 17007 grad_norm: 7.7579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8507 loss: 1.8507 2022/07/28 12:26:43 - mmengine - INFO - Epoch(train) [103][3320/3757] lr: 3.9604e-03 eta: 1 day, 7:57:33 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 7.8319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5349 loss: 1.5349 2022/07/28 12:26:51 - mmengine - INFO - Epoch(train) [103][3340/3757] lr: 3.9604e-03 eta: 1 day, 7:57:25 time: 0.3979 data_time: 0.0152 memory: 17007 grad_norm: 7.8570 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8688 loss: 1.8688 2022/07/28 12:26:59 - mmengine - INFO - Epoch(train) [103][3360/3757] lr: 3.9604e-03 eta: 1 day, 7:57:17 time: 0.3999 data_time: 0.0178 memory: 17007 grad_norm: 8.0496 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8107 loss: 1.8107 2022/07/28 12:27:07 - mmengine - INFO - Epoch(train) [103][3380/3757] lr: 3.9604e-03 eta: 1 day, 7:57:09 time: 0.3961 data_time: 0.0169 memory: 17007 grad_norm: 8.3001 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7198 loss: 1.7198 2022/07/28 12:27:15 - mmengine - INFO - Epoch(train) [103][3400/3757] lr: 3.9604e-03 eta: 1 day, 7:57:01 time: 0.3968 data_time: 0.0157 memory: 17007 grad_norm: 7.9628 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8309 loss: 1.8309 2022/07/28 12:27:22 - mmengine - INFO - Epoch(train) [103][3420/3757] lr: 3.9604e-03 eta: 1 day, 7:56:53 time: 0.3940 data_time: 0.0142 memory: 17007 grad_norm: 7.8513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7129 loss: 1.7129 2022/07/28 12:27:30 - mmengine - INFO - Epoch(train) [103][3440/3757] lr: 3.9604e-03 eta: 1 day, 7:56:45 time: 0.3960 data_time: 0.0154 memory: 17007 grad_norm: 8.2924 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2101 loss: 2.2101 2022/07/28 12:27:38 - mmengine - INFO - Epoch(train) [103][3460/3757] lr: 3.9604e-03 eta: 1 day, 7:56:37 time: 0.4007 data_time: 0.0164 memory: 17007 grad_norm: 8.3193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5903 loss: 1.5903 2022/07/28 12:27:46 - mmengine - INFO - Epoch(train) [103][3480/3757] lr: 3.9604e-03 eta: 1 day, 7:56:29 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 8.2159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9495 loss: 1.9495 2022/07/28 12:27:54 - mmengine - INFO - Epoch(train) [103][3500/3757] lr: 3.9604e-03 eta: 1 day, 7:56:21 time: 0.3999 data_time: 0.0148 memory: 17007 grad_norm: 7.8442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7746 loss: 1.7746 2022/07/28 12:28:02 - mmengine - INFO - Epoch(train) [103][3520/3757] lr: 3.9604e-03 eta: 1 day, 7:56:13 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 8.1889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8791 loss: 1.8791 2022/07/28 12:28:10 - mmengine - INFO - Epoch(train) [103][3540/3757] lr: 3.9604e-03 eta: 1 day, 7:56:05 time: 0.3934 data_time: 0.0138 memory: 17007 grad_norm: 8.0243 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6798 loss: 1.6798 2022/07/28 12:28:18 - mmengine - INFO - Epoch(train) [103][3560/3757] lr: 3.9604e-03 eta: 1 day, 7:55:57 time: 0.4067 data_time: 0.0161 memory: 17007 grad_norm: 8.2750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.3469 loss: 2.3469 2022/07/28 12:28:26 - mmengine - INFO - Epoch(train) [103][3580/3757] lr: 3.9604e-03 eta: 1 day, 7:55:49 time: 0.3950 data_time: 0.0151 memory: 17007 grad_norm: 7.8179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1473 loss: 2.1473 2022/07/28 12:28:34 - mmengine - INFO - Epoch(train) [103][3600/3757] lr: 3.9604e-03 eta: 1 day, 7:55:41 time: 0.4001 data_time: 0.0150 memory: 17007 grad_norm: 8.1004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8473 loss: 1.8473 2022/07/28 12:28:42 - mmengine - INFO - Epoch(train) [103][3620/3757] lr: 3.9604e-03 eta: 1 day, 7:55:34 time: 0.3951 data_time: 0.0137 memory: 17007 grad_norm: 7.8744 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4606 loss: 1.4606 2022/07/28 12:28:50 - mmengine - INFO - Epoch(train) [103][3640/3757] lr: 3.9604e-03 eta: 1 day, 7:55:26 time: 0.4000 data_time: 0.0153 memory: 17007 grad_norm: 8.0624 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9592 loss: 1.9592 2022/07/28 12:28:58 - mmengine - INFO - Epoch(train) [103][3660/3757] lr: 3.9604e-03 eta: 1 day, 7:55:18 time: 0.3986 data_time: 0.0158 memory: 17007 grad_norm: 7.7011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5029 loss: 1.5029 2022/07/28 12:29:06 - mmengine - INFO - Epoch(train) [103][3680/3757] lr: 3.9604e-03 eta: 1 day, 7:55:10 time: 0.4011 data_time: 0.0149 memory: 17007 grad_norm: 8.1551 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8445 loss: 1.8445 2022/07/28 12:29:14 - mmengine - INFO - Epoch(train) [103][3700/3757] lr: 3.9604e-03 eta: 1 day, 7:55:02 time: 0.3997 data_time: 0.0148 memory: 17007 grad_norm: 7.9643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9067 loss: 1.9067 2022/07/28 12:29:22 - mmengine - INFO - Epoch(train) [103][3720/3757] lr: 3.9604e-03 eta: 1 day, 7:54:54 time: 0.3992 data_time: 0.0163 memory: 17007 grad_norm: 7.6173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8095 loss: 1.8095 2022/07/28 12:29:30 - mmengine - INFO - Epoch(train) [103][3740/3757] lr: 3.9604e-03 eta: 1 day, 7:54:46 time: 0.3928 data_time: 0.0135 memory: 17007 grad_norm: 8.0274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7090 loss: 1.7090 2022/07/28 12:29:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:29:37 - mmengine - INFO - Epoch(train) [103][3757/3757] lr: 3.9604e-03 eta: 1 day, 7:54:46 time: 0.3934 data_time: 0.0166 memory: 17007 grad_norm: 7.7261 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8554 loss: 1.8554 2022/07/28 12:29:37 - mmengine - INFO - Saving checkpoint at 103 epochs 2022/07/28 12:29:48 - mmengine - INFO - Epoch(train) [104][20/3757] lr: 3.8752e-03 eta: 1 day, 7:54:27 time: 0.4392 data_time: 0.0595 memory: 17007 grad_norm: 7.9319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7636 loss: 1.7636 2022/07/28 12:29:52 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:29:56 - mmengine - INFO - Epoch(train) [104][40/3757] lr: 3.8752e-03 eta: 1 day, 7:54:19 time: 0.4135 data_time: 0.0169 memory: 17007 grad_norm: 8.1668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0138 loss: 2.0138 2022/07/28 12:30:04 - mmengine - INFO - Epoch(train) [104][60/3757] lr: 3.8752e-03 eta: 1 day, 7:54:11 time: 0.3939 data_time: 0.0141 memory: 17007 grad_norm: 7.8254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4597 loss: 1.4597 2022/07/28 12:30:12 - mmengine - INFO - Epoch(train) [104][80/3757] lr: 3.8752e-03 eta: 1 day, 7:54:03 time: 0.3944 data_time: 0.0150 memory: 17007 grad_norm: 7.6399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5684 loss: 1.5684 2022/07/28 12:30:20 - mmengine - INFO - Epoch(train) [104][100/3757] lr: 3.8752e-03 eta: 1 day, 7:53:55 time: 0.3974 data_time: 0.0143 memory: 17007 grad_norm: 7.8590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5892 loss: 1.5892 2022/07/28 12:30:28 - mmengine - INFO - Epoch(train) [104][120/3757] lr: 3.8752e-03 eta: 1 day, 7:53:47 time: 0.3953 data_time: 0.0159 memory: 17007 grad_norm: 7.8917 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9762 loss: 1.9762 2022/07/28 12:30:36 - mmengine - INFO - Epoch(train) [104][140/3757] lr: 3.8752e-03 eta: 1 day, 7:53:39 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 7.7635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5953 loss: 1.5953 2022/07/28 12:30:44 - mmengine - INFO - Epoch(train) [104][160/3757] lr: 3.8752e-03 eta: 1 day, 7:53:31 time: 0.3942 data_time: 0.0147 memory: 17007 grad_norm: 7.9920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9687 loss: 1.9687 2022/07/28 12:30:52 - mmengine - INFO - Epoch(train) [104][180/3757] lr: 3.8752e-03 eta: 1 day, 7:53:23 time: 0.3938 data_time: 0.0140 memory: 17007 grad_norm: 8.2304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8032 loss: 1.8032 2022/07/28 12:31:00 - mmengine - INFO - Epoch(train) [104][200/3757] lr: 3.8752e-03 eta: 1 day, 7:53:16 time: 0.4060 data_time: 0.0162 memory: 17007 grad_norm: 7.9328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9777 loss: 1.9777 2022/07/28 12:31:08 - mmengine - INFO - Epoch(train) [104][220/3757] lr: 3.8752e-03 eta: 1 day, 7:53:08 time: 0.3953 data_time: 0.0152 memory: 17007 grad_norm: 7.8170 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6177 loss: 1.6177 2022/07/28 12:31:16 - mmengine - INFO - Epoch(train) [104][240/3757] lr: 3.8752e-03 eta: 1 day, 7:53:00 time: 0.3995 data_time: 0.0172 memory: 17007 grad_norm: 8.1043 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0274 loss: 2.0274 2022/07/28 12:31:24 - mmengine - INFO - Epoch(train) [104][260/3757] lr: 3.8752e-03 eta: 1 day, 7:52:52 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 8.1053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5224 loss: 1.5224 2022/07/28 12:31:32 - mmengine - INFO - Epoch(train) [104][280/3757] lr: 3.8752e-03 eta: 1 day, 7:52:44 time: 0.3979 data_time: 0.0157 memory: 17007 grad_norm: 8.1132 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0012 loss: 2.0012 2022/07/28 12:31:40 - mmengine - INFO - Epoch(train) [104][300/3757] lr: 3.8752e-03 eta: 1 day, 7:52:36 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 8.5055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8376 loss: 1.8376 2022/07/28 12:31:48 - mmengine - INFO - Epoch(train) [104][320/3757] lr: 3.8752e-03 eta: 1 day, 7:52:28 time: 0.4131 data_time: 0.0160 memory: 17007 grad_norm: 8.2256 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0037 loss: 2.0037 2022/07/28 12:31:56 - mmengine - INFO - Epoch(train) [104][340/3757] lr: 3.8752e-03 eta: 1 day, 7:52:20 time: 0.3958 data_time: 0.0157 memory: 17007 grad_norm: 8.0487 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6892 loss: 1.6892 2022/07/28 12:32:04 - mmengine - INFO - Epoch(train) [104][360/3757] lr: 3.8752e-03 eta: 1 day, 7:52:12 time: 0.3958 data_time: 0.0161 memory: 17007 grad_norm: 8.1986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8732 loss: 1.8732 2022/07/28 12:32:12 - mmengine - INFO - Epoch(train) [104][380/3757] lr: 3.8752e-03 eta: 1 day, 7:52:04 time: 0.3934 data_time: 0.0151 memory: 17007 grad_norm: 8.0248 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7833 loss: 1.7833 2022/07/28 12:32:20 - mmengine - INFO - Epoch(train) [104][400/3757] lr: 3.8752e-03 eta: 1 day, 7:51:56 time: 0.4009 data_time: 0.0166 memory: 17007 grad_norm: 8.4808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6511 loss: 1.6511 2022/07/28 12:32:28 - mmengine - INFO - Epoch(train) [104][420/3757] lr: 3.8752e-03 eta: 1 day, 7:51:48 time: 0.3950 data_time: 0.0147 memory: 17007 grad_norm: 7.9768 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9842 loss: 1.9842 2022/07/28 12:32:36 - mmengine - INFO - Epoch(train) [104][440/3757] lr: 3.8752e-03 eta: 1 day, 7:51:40 time: 0.3982 data_time: 0.0161 memory: 17007 grad_norm: 7.8721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4570 loss: 1.4570 2022/07/28 12:32:43 - mmengine - INFO - Epoch(train) [104][460/3757] lr: 3.8752e-03 eta: 1 day, 7:51:32 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 8.2208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7923 loss: 1.7923 2022/07/28 12:32:51 - mmengine - INFO - Epoch(train) [104][480/3757] lr: 3.8752e-03 eta: 1 day, 7:51:24 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 7.9719 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8380 loss: 1.8380 2022/07/28 12:32:59 - mmengine - INFO - Epoch(train) [104][500/3757] lr: 3.8752e-03 eta: 1 day, 7:51:17 time: 0.3963 data_time: 0.0162 memory: 17007 grad_norm: 7.8999 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7640 loss: 1.7640 2022/07/28 12:33:07 - mmengine - INFO - Epoch(train) [104][520/3757] lr: 3.8752e-03 eta: 1 day, 7:51:09 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 7.8796 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0156 loss: 2.0156 2022/07/28 12:33:15 - mmengine - INFO - Epoch(train) [104][540/3757] lr: 3.8752e-03 eta: 1 day, 7:51:01 time: 0.4004 data_time: 0.0154 memory: 17007 grad_norm: 8.0967 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6654 loss: 1.6654 2022/07/28 12:33:23 - mmengine - INFO - Epoch(train) [104][560/3757] lr: 3.8752e-03 eta: 1 day, 7:50:53 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 7.9198 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6810 loss: 1.6810 2022/07/28 12:33:31 - mmengine - INFO - Epoch(train) [104][580/3757] lr: 3.8752e-03 eta: 1 day, 7:50:45 time: 0.3943 data_time: 0.0147 memory: 17007 grad_norm: 8.0852 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6609 loss: 1.6609 2022/07/28 12:33:39 - mmengine - INFO - Epoch(train) [104][600/3757] lr: 3.8752e-03 eta: 1 day, 7:50:37 time: 0.3962 data_time: 0.0163 memory: 17007 grad_norm: 7.7779 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8377 loss: 1.8377 2022/07/28 12:33:47 - mmengine - INFO - Epoch(train) [104][620/3757] lr: 3.8752e-03 eta: 1 day, 7:50:29 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 8.0173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9350 loss: 1.9350 2022/07/28 12:33:55 - mmengine - INFO - Epoch(train) [104][640/3757] lr: 3.8752e-03 eta: 1 day, 7:50:21 time: 0.3984 data_time: 0.0162 memory: 17007 grad_norm: 7.8491 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7687 loss: 1.7687 2022/07/28 12:34:03 - mmengine - INFO - Epoch(train) [104][660/3757] lr: 3.8752e-03 eta: 1 day, 7:50:13 time: 0.3939 data_time: 0.0153 memory: 17007 grad_norm: 7.6203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7406 loss: 1.7406 2022/07/28 12:34:11 - mmengine - INFO - Epoch(train) [104][680/3757] lr: 3.8752e-03 eta: 1 day, 7:50:05 time: 0.3963 data_time: 0.0155 memory: 17007 grad_norm: 7.8369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7367 loss: 1.7367 2022/07/28 12:34:19 - mmengine - INFO - Epoch(train) [104][700/3757] lr: 3.8752e-03 eta: 1 day, 7:49:57 time: 0.4068 data_time: 0.0154 memory: 17007 grad_norm: 7.9394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9774 loss: 1.9774 2022/07/28 12:34:27 - mmengine - INFO - Epoch(train) [104][720/3757] lr: 3.8752e-03 eta: 1 day, 7:49:49 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 8.1713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6555 loss: 1.6555 2022/07/28 12:34:35 - mmengine - INFO - Epoch(train) [104][740/3757] lr: 3.8752e-03 eta: 1 day, 7:49:41 time: 0.3985 data_time: 0.0148 memory: 17007 grad_norm: 7.7507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7586 loss: 1.7586 2022/07/28 12:34:43 - mmengine - INFO - Epoch(train) [104][760/3757] lr: 3.8752e-03 eta: 1 day, 7:49:33 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 8.2079 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6627 loss: 1.6627 2022/07/28 12:34:51 - mmengine - INFO - Epoch(train) [104][780/3757] lr: 3.8752e-03 eta: 1 day, 7:49:25 time: 0.3941 data_time: 0.0142 memory: 17007 grad_norm: 7.9250 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8156 loss: 1.8156 2022/07/28 12:34:59 - mmengine - INFO - Epoch(train) [104][800/3757] lr: 3.8752e-03 eta: 1 day, 7:49:17 time: 0.3971 data_time: 0.0171 memory: 17007 grad_norm: 8.0738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8335 loss: 1.8335 2022/07/28 12:35:06 - mmengine - INFO - Epoch(train) [104][820/3757] lr: 3.8752e-03 eta: 1 day, 7:49:09 time: 0.3954 data_time: 0.0148 memory: 17007 grad_norm: 8.2568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8910 loss: 1.8910 2022/07/28 12:35:14 - mmengine - INFO - Epoch(train) [104][840/3757] lr: 3.8752e-03 eta: 1 day, 7:49:01 time: 0.3970 data_time: 0.0155 memory: 17007 grad_norm: 7.8880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5334 loss: 1.5334 2022/07/28 12:35:22 - mmengine - INFO - Epoch(train) [104][860/3757] lr: 3.8752e-03 eta: 1 day, 7:48:53 time: 0.3958 data_time: 0.0160 memory: 17007 grad_norm: 7.8702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6427 loss: 1.6427 2022/07/28 12:35:30 - mmengine - INFO - Epoch(train) [104][880/3757] lr: 3.8752e-03 eta: 1 day, 7:48:45 time: 0.3962 data_time: 0.0161 memory: 17007 grad_norm: 7.8127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6356 loss: 1.6356 2022/07/28 12:35:38 - mmengine - INFO - Epoch(train) [104][900/3757] lr: 3.8752e-03 eta: 1 day, 7:48:38 time: 0.4027 data_time: 0.0156 memory: 17007 grad_norm: 8.0807 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7489 loss: 1.7489 2022/07/28 12:35:46 - mmengine - INFO - Epoch(train) [104][920/3757] lr: 3.8752e-03 eta: 1 day, 7:48:30 time: 0.3969 data_time: 0.0168 memory: 17007 grad_norm: 8.0772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8227 loss: 1.8227 2022/07/28 12:35:54 - mmengine - INFO - Epoch(train) [104][940/3757] lr: 3.8752e-03 eta: 1 day, 7:48:22 time: 0.3942 data_time: 0.0149 memory: 17007 grad_norm: 7.7921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7274 loss: 1.7274 2022/07/28 12:36:02 - mmengine - INFO - Epoch(train) [104][960/3757] lr: 3.8752e-03 eta: 1 day, 7:48:14 time: 0.3964 data_time: 0.0160 memory: 17007 grad_norm: 8.5006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8759 loss: 1.8759 2022/07/28 12:36:10 - mmengine - INFO - Epoch(train) [104][980/3757] lr: 3.8752e-03 eta: 1 day, 7:48:06 time: 0.3989 data_time: 0.0142 memory: 17007 grad_norm: 8.2361 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8039 loss: 1.8039 2022/07/28 12:36:18 - mmengine - INFO - Epoch(train) [104][1000/3757] lr: 3.8752e-03 eta: 1 day, 7:47:58 time: 0.3967 data_time: 0.0152 memory: 17007 grad_norm: 8.3928 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3168 loss: 2.3168 2022/07/28 12:36:26 - mmengine - INFO - Epoch(train) [104][1020/3757] lr: 3.8752e-03 eta: 1 day, 7:47:50 time: 0.3969 data_time: 0.0174 memory: 17007 grad_norm: 8.1883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8886 loss: 1.8886 2022/07/28 12:36:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:36:34 - mmengine - INFO - Epoch(train) [104][1040/3757] lr: 3.8752e-03 eta: 1 day, 7:47:42 time: 0.3942 data_time: 0.0153 memory: 17007 grad_norm: 8.0577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8864 loss: 1.8864 2022/07/28 12:36:42 - mmengine - INFO - Epoch(train) [104][1060/3757] lr: 3.8752e-03 eta: 1 day, 7:47:34 time: 0.3966 data_time: 0.0135 memory: 17007 grad_norm: 8.1010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1861 loss: 2.1861 2022/07/28 12:36:50 - mmengine - INFO - Epoch(train) [104][1080/3757] lr: 3.8752e-03 eta: 1 day, 7:47:26 time: 0.3953 data_time: 0.0155 memory: 17007 grad_norm: 8.0292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9309 loss: 1.9309 2022/07/28 12:36:58 - mmengine - INFO - Epoch(train) [104][1100/3757] lr: 3.8752e-03 eta: 1 day, 7:47:18 time: 0.3970 data_time: 0.0159 memory: 17007 grad_norm: 7.9471 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6980 loss: 1.6980 2022/07/28 12:37:06 - mmengine - INFO - Epoch(train) [104][1120/3757] lr: 3.8752e-03 eta: 1 day, 7:47:10 time: 0.4017 data_time: 0.0167 memory: 17007 grad_norm: 8.3411 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0315 loss: 2.0315 2022/07/28 12:37:14 - mmengine - INFO - Epoch(train) [104][1140/3757] lr: 3.8752e-03 eta: 1 day, 7:47:02 time: 0.3945 data_time: 0.0143 memory: 17007 grad_norm: 8.0245 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0356 loss: 2.0356 2022/07/28 12:37:22 - mmengine - INFO - Epoch(train) [104][1160/3757] lr: 3.8752e-03 eta: 1 day, 7:46:54 time: 0.3951 data_time: 0.0153 memory: 17007 grad_norm: 7.7666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7413 loss: 1.7413 2022/07/28 12:37:30 - mmengine - INFO - Epoch(train) [104][1180/3757] lr: 3.8752e-03 eta: 1 day, 7:46:46 time: 0.3976 data_time: 0.0153 memory: 17007 grad_norm: 7.9350 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8021 loss: 1.8021 2022/07/28 12:37:37 - mmengine - INFO - Epoch(train) [104][1200/3757] lr: 3.8752e-03 eta: 1 day, 7:46:38 time: 0.3961 data_time: 0.0157 memory: 17007 grad_norm: 7.9475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7158 loss: 1.7158 2022/07/28 12:37:45 - mmengine - INFO - Epoch(train) [104][1220/3757] lr: 3.8752e-03 eta: 1 day, 7:46:30 time: 0.3973 data_time: 0.0155 memory: 17007 grad_norm: 8.0223 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9068 loss: 1.9068 2022/07/28 12:37:53 - mmengine - INFO - Epoch(train) [104][1240/3757] lr: 3.8752e-03 eta: 1 day, 7:46:22 time: 0.3939 data_time: 0.0152 memory: 17007 grad_norm: 8.0353 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6217 loss: 1.6217 2022/07/28 12:38:01 - mmengine - INFO - Epoch(train) [104][1260/3757] lr: 3.8752e-03 eta: 1 day, 7:46:14 time: 0.3981 data_time: 0.0152 memory: 17007 grad_norm: 7.9200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7066 loss: 1.7066 2022/07/28 12:38:09 - mmengine - INFO - Epoch(train) [104][1280/3757] lr: 3.8752e-03 eta: 1 day, 7:46:07 time: 0.3963 data_time: 0.0159 memory: 17007 grad_norm: 8.3078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5723 loss: 1.5723 2022/07/28 12:38:17 - mmengine - INFO - Epoch(train) [104][1300/3757] lr: 3.8752e-03 eta: 1 day, 7:45:59 time: 0.3989 data_time: 0.0144 memory: 17007 grad_norm: 8.3243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8207 loss: 1.8207 2022/07/28 12:38:25 - mmengine - INFO - Epoch(train) [104][1320/3757] lr: 3.8752e-03 eta: 1 day, 7:45:51 time: 0.3957 data_time: 0.0154 memory: 17007 grad_norm: 7.7307 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6329 loss: 1.6329 2022/07/28 12:38:33 - mmengine - INFO - Epoch(train) [104][1340/3757] lr: 3.8752e-03 eta: 1 day, 7:45:43 time: 0.3941 data_time: 0.0134 memory: 17007 grad_norm: 8.0434 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8882 loss: 1.8882 2022/07/28 12:38:41 - mmengine - INFO - Epoch(train) [104][1360/3757] lr: 3.8752e-03 eta: 1 day, 7:45:35 time: 0.4013 data_time: 0.0164 memory: 17007 grad_norm: 7.8326 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3313 loss: 1.3313 2022/07/28 12:38:49 - mmengine - INFO - Epoch(train) [104][1380/3757] lr: 3.8752e-03 eta: 1 day, 7:45:27 time: 0.3938 data_time: 0.0154 memory: 17007 grad_norm: 8.0048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8817 loss: 1.8817 2022/07/28 12:38:57 - mmengine - INFO - Epoch(train) [104][1400/3757] lr: 3.8752e-03 eta: 1 day, 7:45:19 time: 0.3984 data_time: 0.0170 memory: 17007 grad_norm: 8.0577 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7246 loss: 1.7246 2022/07/28 12:39:05 - mmengine - INFO - Epoch(train) [104][1420/3757] lr: 3.8752e-03 eta: 1 day, 7:45:11 time: 0.3929 data_time: 0.0151 memory: 17007 grad_norm: 7.8977 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8648 loss: 1.8648 2022/07/28 12:39:13 - mmengine - INFO - Epoch(train) [104][1440/3757] lr: 3.8752e-03 eta: 1 day, 7:45:03 time: 0.3935 data_time: 0.0149 memory: 17007 grad_norm: 7.9796 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9084 loss: 1.9084 2022/07/28 12:39:21 - mmengine - INFO - Epoch(train) [104][1460/3757] lr: 3.8752e-03 eta: 1 day, 7:44:55 time: 0.3997 data_time: 0.0169 memory: 17007 grad_norm: 8.3087 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7559 loss: 1.7559 2022/07/28 12:39:29 - mmengine - INFO - Epoch(train) [104][1480/3757] lr: 3.8752e-03 eta: 1 day, 7:44:47 time: 0.3985 data_time: 0.0163 memory: 17007 grad_norm: 8.2134 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0098 loss: 2.0098 2022/07/28 12:39:37 - mmengine - INFO - Epoch(train) [104][1500/3757] lr: 3.8752e-03 eta: 1 day, 7:44:39 time: 0.3973 data_time: 0.0150 memory: 17007 grad_norm: 8.1545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9447 loss: 1.9447 2022/07/28 12:39:45 - mmengine - INFO - Epoch(train) [104][1520/3757] lr: 3.8752e-03 eta: 1 day, 7:44:31 time: 0.3946 data_time: 0.0153 memory: 17007 grad_norm: 7.7164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8605 loss: 1.8605 2022/07/28 12:39:53 - mmengine - INFO - Epoch(train) [104][1540/3757] lr: 3.8752e-03 eta: 1 day, 7:44:23 time: 0.4033 data_time: 0.0143 memory: 17007 grad_norm: 7.8163 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2592 loss: 2.2592 2022/07/28 12:40:01 - mmengine - INFO - Epoch(train) [104][1560/3757] lr: 3.8752e-03 eta: 1 day, 7:44:15 time: 0.3977 data_time: 0.0163 memory: 17007 grad_norm: 7.4661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6732 loss: 1.6732 2022/07/28 12:40:09 - mmengine - INFO - Epoch(train) [104][1580/3757] lr: 3.8752e-03 eta: 1 day, 7:44:07 time: 0.3986 data_time: 0.0156 memory: 17007 grad_norm: 7.9948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0548 loss: 2.0548 2022/07/28 12:40:17 - mmengine - INFO - Epoch(train) [104][1600/3757] lr: 3.8752e-03 eta: 1 day, 7:43:59 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 7.8115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0787 loss: 2.0787 2022/07/28 12:40:24 - mmengine - INFO - Epoch(train) [104][1620/3757] lr: 3.8752e-03 eta: 1 day, 7:43:52 time: 0.3955 data_time: 0.0148 memory: 17007 grad_norm: 7.9092 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7269 loss: 1.7269 2022/07/28 12:40:32 - mmengine - INFO - Epoch(train) [104][1640/3757] lr: 3.8752e-03 eta: 1 day, 7:43:44 time: 0.3952 data_time: 0.0148 memory: 17007 grad_norm: 8.3798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0163 loss: 2.0163 2022/07/28 12:40:40 - mmengine - INFO - Epoch(train) [104][1660/3757] lr: 3.8752e-03 eta: 1 day, 7:43:36 time: 0.3983 data_time: 0.0170 memory: 17007 grad_norm: 7.9772 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8324 loss: 1.8324 2022/07/28 12:40:48 - mmengine - INFO - Epoch(train) [104][1680/3757] lr: 3.8752e-03 eta: 1 day, 7:43:28 time: 0.3980 data_time: 0.0153 memory: 17007 grad_norm: 8.0394 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7328 loss: 1.7328 2022/07/28 12:40:56 - mmengine - INFO - Epoch(train) [104][1700/3757] lr: 3.8752e-03 eta: 1 day, 7:43:20 time: 0.3971 data_time: 0.0157 memory: 17007 grad_norm: 8.0244 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8189 loss: 1.8189 2022/07/28 12:41:04 - mmengine - INFO - Epoch(train) [104][1720/3757] lr: 3.8752e-03 eta: 1 day, 7:43:12 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 7.7443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6097 loss: 1.6097 2022/07/28 12:41:12 - mmengine - INFO - Epoch(train) [104][1740/3757] lr: 3.8752e-03 eta: 1 day, 7:43:04 time: 0.3936 data_time: 0.0134 memory: 17007 grad_norm: 7.8105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9959 loss: 1.9959 2022/07/28 12:41:20 - mmengine - INFO - Epoch(train) [104][1760/3757] lr: 3.8752e-03 eta: 1 day, 7:42:56 time: 0.3972 data_time: 0.0165 memory: 17007 grad_norm: 8.0076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6290 loss: 1.6290 2022/07/28 12:41:28 - mmengine - INFO - Epoch(train) [104][1780/3757] lr: 3.8752e-03 eta: 1 day, 7:42:48 time: 0.4007 data_time: 0.0156 memory: 17007 grad_norm: 7.8406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8457 loss: 1.8457 2022/07/28 12:41:36 - mmengine - INFO - Epoch(train) [104][1800/3757] lr: 3.8752e-03 eta: 1 day, 7:42:40 time: 0.3976 data_time: 0.0161 memory: 17007 grad_norm: 8.1754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2119 loss: 2.2119 2022/07/28 12:41:44 - mmengine - INFO - Epoch(train) [104][1820/3757] lr: 3.8752e-03 eta: 1 day, 7:42:32 time: 0.3954 data_time: 0.0146 memory: 17007 grad_norm: 7.8356 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9099 loss: 1.9099 2022/07/28 12:41:52 - mmengine - INFO - Epoch(train) [104][1840/3757] lr: 3.8752e-03 eta: 1 day, 7:42:24 time: 0.4045 data_time: 0.0147 memory: 17007 grad_norm: 7.9424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9152 loss: 1.9152 2022/07/28 12:42:00 - mmengine - INFO - Epoch(train) [104][1860/3757] lr: 3.8752e-03 eta: 1 day, 7:42:16 time: 0.3956 data_time: 0.0149 memory: 17007 grad_norm: 8.0829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9500 loss: 1.9500 2022/07/28 12:42:08 - mmengine - INFO - Epoch(train) [104][1880/3757] lr: 3.8752e-03 eta: 1 day, 7:42:08 time: 0.4003 data_time: 0.0162 memory: 17007 grad_norm: 8.1993 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9051 loss: 1.9051 2022/07/28 12:42:16 - mmengine - INFO - Epoch(train) [104][1900/3757] lr: 3.8752e-03 eta: 1 day, 7:42:00 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 8.1262 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6879 loss: 1.6879 2022/07/28 12:42:24 - mmengine - INFO - Epoch(train) [104][1920/3757] lr: 3.8752e-03 eta: 1 day, 7:41:52 time: 0.3951 data_time: 0.0160 memory: 17007 grad_norm: 8.1797 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0971 loss: 2.0971 2022/07/28 12:42:32 - mmengine - INFO - Epoch(train) [104][1940/3757] lr: 3.8752e-03 eta: 1 day, 7:41:45 time: 0.4057 data_time: 0.0154 memory: 17007 grad_norm: 8.1188 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0515 loss: 2.0515 2022/07/28 12:42:40 - mmengine - INFO - Epoch(train) [104][1960/3757] lr: 3.8752e-03 eta: 1 day, 7:41:37 time: 0.3952 data_time: 0.0162 memory: 17007 grad_norm: 7.9747 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9377 loss: 1.9377 2022/07/28 12:42:48 - mmengine - INFO - Epoch(train) [104][1980/3757] lr: 3.8752e-03 eta: 1 day, 7:41:29 time: 0.3939 data_time: 0.0145 memory: 17007 grad_norm: 8.0332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6245 loss: 1.6245 2022/07/28 12:42:56 - mmengine - INFO - Epoch(train) [104][2000/3757] lr: 3.8752e-03 eta: 1 day, 7:41:21 time: 0.3985 data_time: 0.0164 memory: 17007 grad_norm: 7.8817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7807 loss: 1.7807 2022/07/28 12:43:04 - mmengine - INFO - Epoch(train) [104][2020/3757] lr: 3.8752e-03 eta: 1 day, 7:41:13 time: 0.3946 data_time: 0.0152 memory: 17007 grad_norm: 8.0104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5553 loss: 1.5553 2022/07/28 12:43:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:43:12 - mmengine - INFO - Epoch(train) [104][2040/3757] lr: 3.8752e-03 eta: 1 day, 7:41:05 time: 0.3945 data_time: 0.0148 memory: 17007 grad_norm: 7.8585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5440 loss: 1.5440 2022/07/28 12:43:20 - mmengine - INFO - Epoch(train) [104][2060/3757] lr: 3.8752e-03 eta: 1 day, 7:40:57 time: 0.3985 data_time: 0.0156 memory: 17007 grad_norm: 7.9835 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8702 loss: 1.8702 2022/07/28 12:43:27 - mmengine - INFO - Epoch(train) [104][2080/3757] lr: 3.8752e-03 eta: 1 day, 7:40:49 time: 0.3949 data_time: 0.0151 memory: 17007 grad_norm: 7.9574 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0404 loss: 2.0404 2022/07/28 12:43:35 - mmengine - INFO - Epoch(train) [104][2100/3757] lr: 3.8752e-03 eta: 1 day, 7:40:41 time: 0.3959 data_time: 0.0152 memory: 17007 grad_norm: 7.8963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7100 loss: 1.7100 2022/07/28 12:43:43 - mmengine - INFO - Epoch(train) [104][2120/3757] lr: 3.8752e-03 eta: 1 day, 7:40:33 time: 0.3957 data_time: 0.0162 memory: 17007 grad_norm: 8.3480 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0221 loss: 2.0221 2022/07/28 12:43:51 - mmengine - INFO - Epoch(train) [104][2140/3757] lr: 3.8752e-03 eta: 1 day, 7:40:25 time: 0.3958 data_time: 0.0156 memory: 17007 grad_norm: 8.0599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8934 loss: 1.8934 2022/07/28 12:43:59 - mmengine - INFO - Epoch(train) [104][2160/3757] lr: 3.8752e-03 eta: 1 day, 7:40:17 time: 0.3988 data_time: 0.0166 memory: 17007 grad_norm: 8.1185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6885 loss: 1.6885 2022/07/28 12:44:07 - mmengine - INFO - Epoch(train) [104][2180/3757] lr: 3.8752e-03 eta: 1 day, 7:40:09 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 8.3095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0919 loss: 2.0919 2022/07/28 12:44:15 - mmengine - INFO - Epoch(train) [104][2200/3757] lr: 3.8752e-03 eta: 1 day, 7:40:01 time: 0.3949 data_time: 0.0156 memory: 17007 grad_norm: 7.8054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8034 loss: 1.8034 2022/07/28 12:44:23 - mmengine - INFO - Epoch(train) [104][2220/3757] lr: 3.8752e-03 eta: 1 day, 7:39:53 time: 0.3973 data_time: 0.0155 memory: 17007 grad_norm: 7.8708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6791 loss: 1.6791 2022/07/28 12:44:31 - mmengine - INFO - Epoch(train) [104][2240/3757] lr: 3.8752e-03 eta: 1 day, 7:39:45 time: 0.3937 data_time: 0.0151 memory: 17007 grad_norm: 8.0577 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7008 loss: 1.7008 2022/07/28 12:44:39 - mmengine - INFO - Epoch(train) [104][2260/3757] lr: 3.8752e-03 eta: 1 day, 7:39:37 time: 0.4002 data_time: 0.0159 memory: 17007 grad_norm: 7.9782 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8191 loss: 1.8191 2022/07/28 12:44:47 - mmengine - INFO - Epoch(train) [104][2280/3757] lr: 3.8752e-03 eta: 1 day, 7:39:29 time: 0.3953 data_time: 0.0149 memory: 17007 grad_norm: 7.7618 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0505 loss: 2.0505 2022/07/28 12:44:55 - mmengine - INFO - Epoch(train) [104][2300/3757] lr: 3.8752e-03 eta: 1 day, 7:39:21 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 8.1811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9452 loss: 1.9452 2022/07/28 12:45:03 - mmengine - INFO - Epoch(train) [104][2320/3757] lr: 3.8752e-03 eta: 1 day, 7:39:13 time: 0.3957 data_time: 0.0158 memory: 17007 grad_norm: 8.1299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7923 loss: 1.7923 2022/07/28 12:45:11 - mmengine - INFO - Epoch(train) [104][2340/3757] lr: 3.8752e-03 eta: 1 day, 7:39:05 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 8.4798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8230 loss: 1.8230 2022/07/28 12:45:19 - mmengine - INFO - Epoch(train) [104][2360/3757] lr: 3.8752e-03 eta: 1 day, 7:38:58 time: 0.4002 data_time: 0.0164 memory: 17007 grad_norm: 7.9136 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8563 loss: 1.8563 2022/07/28 12:45:26 - mmengine - INFO - Epoch(train) [104][2380/3757] lr: 3.8752e-03 eta: 1 day, 7:38:50 time: 0.3943 data_time: 0.0160 memory: 17007 grad_norm: 8.1554 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9884 loss: 1.9884 2022/07/28 12:45:34 - mmengine - INFO - Epoch(train) [104][2400/3757] lr: 3.8752e-03 eta: 1 day, 7:38:42 time: 0.3961 data_time: 0.0161 memory: 17007 grad_norm: 8.4585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0439 loss: 2.0439 2022/07/28 12:45:42 - mmengine - INFO - Epoch(train) [104][2420/3757] lr: 3.8752e-03 eta: 1 day, 7:38:34 time: 0.3951 data_time: 0.0152 memory: 17007 grad_norm: 8.1943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8660 loss: 1.8660 2022/07/28 12:45:50 - mmengine - INFO - Epoch(train) [104][2440/3757] lr: 3.8752e-03 eta: 1 day, 7:38:26 time: 0.3963 data_time: 0.0161 memory: 17007 grad_norm: 7.8888 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0180 loss: 2.0180 2022/07/28 12:45:58 - mmengine - INFO - Epoch(train) [104][2460/3757] lr: 3.8752e-03 eta: 1 day, 7:38:18 time: 0.3996 data_time: 0.0172 memory: 17007 grad_norm: 7.9959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7681 loss: 1.7681 2022/07/28 12:46:06 - mmengine - INFO - Epoch(train) [104][2480/3757] lr: 3.8752e-03 eta: 1 day, 7:38:10 time: 0.3996 data_time: 0.0174 memory: 17007 grad_norm: 8.3070 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7739 loss: 1.7739 2022/07/28 12:46:14 - mmengine - INFO - Epoch(train) [104][2500/3757] lr: 3.8752e-03 eta: 1 day, 7:38:02 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 8.1587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0239 loss: 2.0239 2022/07/28 12:46:22 - mmengine - INFO - Epoch(train) [104][2520/3757] lr: 3.8752e-03 eta: 1 day, 7:37:54 time: 0.4010 data_time: 0.0157 memory: 17007 grad_norm: 8.0829 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8711 loss: 1.8711 2022/07/28 12:46:30 - mmengine - INFO - Epoch(train) [104][2540/3757] lr: 3.8752e-03 eta: 1 day, 7:37:46 time: 0.3949 data_time: 0.0163 memory: 17007 grad_norm: 7.8267 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8380 loss: 1.8380 2022/07/28 12:46:38 - mmengine - INFO - Epoch(train) [104][2560/3757] lr: 3.8752e-03 eta: 1 day, 7:37:38 time: 0.3966 data_time: 0.0158 memory: 17007 grad_norm: 7.9905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7275 loss: 1.7275 2022/07/28 12:46:46 - mmengine - INFO - Epoch(train) [104][2580/3757] lr: 3.8752e-03 eta: 1 day, 7:37:30 time: 0.3959 data_time: 0.0151 memory: 17007 grad_norm: 8.1620 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0105 loss: 2.0105 2022/07/28 12:46:54 - mmengine - INFO - Epoch(train) [104][2600/3757] lr: 3.8752e-03 eta: 1 day, 7:37:22 time: 0.3965 data_time: 0.0164 memory: 17007 grad_norm: 7.7708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0846 loss: 2.0846 2022/07/28 12:47:02 - mmengine - INFO - Epoch(train) [104][2620/3757] lr: 3.8752e-03 eta: 1 day, 7:37:14 time: 0.3959 data_time: 0.0149 memory: 17007 grad_norm: 7.8341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6577 loss: 1.6577 2022/07/28 12:47:10 - mmengine - INFO - Epoch(train) [104][2640/3757] lr: 3.8752e-03 eta: 1 day, 7:37:06 time: 0.3940 data_time: 0.0160 memory: 17007 grad_norm: 7.5669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5068 loss: 1.5068 2022/07/28 12:47:18 - mmengine - INFO - Epoch(train) [104][2660/3757] lr: 3.8752e-03 eta: 1 day, 7:36:58 time: 0.3949 data_time: 0.0151 memory: 17007 grad_norm: 7.7254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5505 loss: 1.5505 2022/07/28 12:47:26 - mmengine - INFO - Epoch(train) [104][2680/3757] lr: 3.8752e-03 eta: 1 day, 7:36:50 time: 0.3949 data_time: 0.0162 memory: 17007 grad_norm: 8.0653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7036 loss: 1.7036 2022/07/28 12:47:34 - mmengine - INFO - Epoch(train) [104][2700/3757] lr: 3.8752e-03 eta: 1 day, 7:36:42 time: 0.3974 data_time: 0.0153 memory: 17007 grad_norm: 8.4012 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1820 loss: 2.1820 2022/07/28 12:47:41 - mmengine - INFO - Epoch(train) [104][2720/3757] lr: 3.8752e-03 eta: 1 day, 7:36:34 time: 0.3950 data_time: 0.0148 memory: 17007 grad_norm: 7.9322 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6763 loss: 1.6763 2022/07/28 12:47:49 - mmengine - INFO - Epoch(train) [104][2740/3757] lr: 3.8752e-03 eta: 1 day, 7:36:26 time: 0.3979 data_time: 0.0159 memory: 17007 grad_norm: 8.2600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9776 loss: 1.9776 2022/07/28 12:47:57 - mmengine - INFO - Epoch(train) [104][2760/3757] lr: 3.8752e-03 eta: 1 day, 7:36:18 time: 0.3953 data_time: 0.0153 memory: 17007 grad_norm: 7.9485 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8375 loss: 1.8375 2022/07/28 12:48:05 - mmengine - INFO - Epoch(train) [104][2780/3757] lr: 3.8752e-03 eta: 1 day, 7:36:10 time: 0.3943 data_time: 0.0138 memory: 17007 grad_norm: 8.7154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9445 loss: 1.9445 2022/07/28 12:48:13 - mmengine - INFO - Epoch(train) [104][2800/3757] lr: 3.8752e-03 eta: 1 day, 7:36:03 time: 0.3980 data_time: 0.0162 memory: 17007 grad_norm: 8.0331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8542 loss: 1.8542 2022/07/28 12:48:21 - mmengine - INFO - Epoch(train) [104][2820/3757] lr: 3.8752e-03 eta: 1 day, 7:35:55 time: 0.3930 data_time: 0.0142 memory: 17007 grad_norm: 7.8350 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8426 loss: 1.8426 2022/07/28 12:48:29 - mmengine - INFO - Epoch(train) [104][2840/3757] lr: 3.8752e-03 eta: 1 day, 7:35:47 time: 0.4040 data_time: 0.0164 memory: 17007 grad_norm: 8.2253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9396 loss: 1.9396 2022/07/28 12:48:37 - mmengine - INFO - Epoch(train) [104][2860/3757] lr: 3.8752e-03 eta: 1 day, 7:35:39 time: 0.3953 data_time: 0.0150 memory: 17007 grad_norm: 8.0611 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5296 loss: 1.5296 2022/07/28 12:48:45 - mmengine - INFO - Epoch(train) [104][2880/3757] lr: 3.8752e-03 eta: 1 day, 7:35:31 time: 0.3966 data_time: 0.0161 memory: 17007 grad_norm: 7.9119 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7296 loss: 1.7296 2022/07/28 12:48:53 - mmengine - INFO - Epoch(train) [104][2900/3757] lr: 3.8752e-03 eta: 1 day, 7:35:23 time: 0.3966 data_time: 0.0148 memory: 17007 grad_norm: 7.9440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5797 loss: 1.5797 2022/07/28 12:49:01 - mmengine - INFO - Epoch(train) [104][2920/3757] lr: 3.8752e-03 eta: 1 day, 7:35:15 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 7.8920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8707 loss: 1.8707 2022/07/28 12:49:09 - mmengine - INFO - Epoch(train) [104][2940/3757] lr: 3.8752e-03 eta: 1 day, 7:35:07 time: 0.3995 data_time: 0.0167 memory: 17007 grad_norm: 7.8584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7369 loss: 1.7369 2022/07/28 12:49:17 - mmengine - INFO - Epoch(train) [104][2960/3757] lr: 3.8752e-03 eta: 1 day, 7:34:59 time: 0.3955 data_time: 0.0155 memory: 17007 grad_norm: 7.8473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1324 loss: 2.1324 2022/07/28 12:49:25 - mmengine - INFO - Epoch(train) [104][2980/3757] lr: 3.8752e-03 eta: 1 day, 7:34:51 time: 0.3957 data_time: 0.0155 memory: 17007 grad_norm: 7.9320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7720 loss: 1.7720 2022/07/28 12:49:33 - mmengine - INFO - Epoch(train) [104][3000/3757] lr: 3.8752e-03 eta: 1 day, 7:34:43 time: 0.3973 data_time: 0.0159 memory: 17007 grad_norm: 7.9101 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9404 loss: 1.9404 2022/07/28 12:49:41 - mmengine - INFO - Epoch(train) [104][3020/3757] lr: 3.8752e-03 eta: 1 day, 7:34:35 time: 0.3944 data_time: 0.0144 memory: 17007 grad_norm: 8.0867 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7016 loss: 1.7016 2022/07/28 12:49:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:49:49 - mmengine - INFO - Epoch(train) [104][3040/3757] lr: 3.8752e-03 eta: 1 day, 7:34:27 time: 0.4003 data_time: 0.0168 memory: 17007 grad_norm: 7.8384 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6746 loss: 1.6746 2022/07/28 12:49:57 - mmengine - INFO - Epoch(train) [104][3060/3757] lr: 3.8752e-03 eta: 1 day, 7:34:19 time: 0.3933 data_time: 0.0141 memory: 17007 grad_norm: 8.1011 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7110 loss: 1.7110 2022/07/28 12:50:04 - mmengine - INFO - Epoch(train) [104][3080/3757] lr: 3.8752e-03 eta: 1 day, 7:34:11 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 7.9949 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6865 loss: 1.6865 2022/07/28 12:50:12 - mmengine - INFO - Epoch(train) [104][3100/3757] lr: 3.8752e-03 eta: 1 day, 7:34:03 time: 0.3984 data_time: 0.0173 memory: 17007 grad_norm: 7.9325 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9124 loss: 1.9124 2022/07/28 12:50:21 - mmengine - INFO - Epoch(train) [104][3120/3757] lr: 3.8752e-03 eta: 1 day, 7:33:56 time: 0.4084 data_time: 0.0172 memory: 17007 grad_norm: 8.0566 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8051 loss: 1.8051 2022/07/28 12:50:28 - mmengine - INFO - Epoch(train) [104][3140/3757] lr: 3.8752e-03 eta: 1 day, 7:33:48 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 7.5274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9784 loss: 1.9784 2022/07/28 12:50:36 - mmengine - INFO - Epoch(train) [104][3160/3757] lr: 3.8752e-03 eta: 1 day, 7:33:40 time: 0.3968 data_time: 0.0148 memory: 17007 grad_norm: 8.1660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7223 loss: 1.7223 2022/07/28 12:50:44 - mmengine - INFO - Epoch(train) [104][3180/3757] lr: 3.8752e-03 eta: 1 day, 7:33:32 time: 0.3935 data_time: 0.0155 memory: 17007 grad_norm: 8.0128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7465 loss: 1.7465 2022/07/28 12:50:52 - mmengine - INFO - Epoch(train) [104][3200/3757] lr: 3.8752e-03 eta: 1 day, 7:33:24 time: 0.3959 data_time: 0.0157 memory: 17007 grad_norm: 8.0490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8311 loss: 1.8311 2022/07/28 12:51:00 - mmengine - INFO - Epoch(train) [104][3220/3757] lr: 3.8752e-03 eta: 1 day, 7:33:16 time: 0.3952 data_time: 0.0146 memory: 17007 grad_norm: 8.1291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9274 loss: 1.9274 2022/07/28 12:51:08 - mmengine - INFO - Epoch(train) [104][3240/3757] lr: 3.8752e-03 eta: 1 day, 7:33:08 time: 0.3975 data_time: 0.0162 memory: 17007 grad_norm: 8.6723 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9940 loss: 1.9940 2022/07/28 12:51:16 - mmengine - INFO - Epoch(train) [104][3260/3757] lr: 3.8752e-03 eta: 1 day, 7:33:00 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 7.9713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9737 loss: 1.9737 2022/07/28 12:51:24 - mmengine - INFO - Epoch(train) [104][3280/3757] lr: 3.8752e-03 eta: 1 day, 7:32:52 time: 0.3951 data_time: 0.0156 memory: 17007 grad_norm: 8.5562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0564 loss: 2.0564 2022/07/28 12:51:32 - mmengine - INFO - Epoch(train) [104][3300/3757] lr: 3.8752e-03 eta: 1 day, 7:32:44 time: 0.3958 data_time: 0.0156 memory: 17007 grad_norm: 7.7401 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6232 loss: 1.6232 2022/07/28 12:51:40 - mmengine - INFO - Epoch(train) [104][3320/3757] lr: 3.8752e-03 eta: 1 day, 7:32:36 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 8.0586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9868 loss: 1.9868 2022/07/28 12:51:48 - mmengine - INFO - Epoch(train) [104][3340/3757] lr: 3.8752e-03 eta: 1 day, 7:32:28 time: 0.3982 data_time: 0.0154 memory: 17007 grad_norm: 7.8731 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5975 loss: 1.5975 2022/07/28 12:51:56 - mmengine - INFO - Epoch(train) [104][3360/3757] lr: 3.8752e-03 eta: 1 day, 7:32:20 time: 0.3943 data_time: 0.0164 memory: 17007 grad_norm: 8.0669 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9108 loss: 1.9108 2022/07/28 12:52:04 - mmengine - INFO - Epoch(train) [104][3380/3757] lr: 3.8752e-03 eta: 1 day, 7:32:12 time: 0.4009 data_time: 0.0154 memory: 17007 grad_norm: 7.9385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7415 loss: 1.7415 2022/07/28 12:52:12 - mmengine - INFO - Epoch(train) [104][3400/3757] lr: 3.8752e-03 eta: 1 day, 7:32:04 time: 0.3967 data_time: 0.0144 memory: 17007 grad_norm: 7.9222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6592 loss: 1.6592 2022/07/28 12:52:20 - mmengine - INFO - Epoch(train) [104][3420/3757] lr: 3.8752e-03 eta: 1 day, 7:31:56 time: 0.4051 data_time: 0.0152 memory: 17007 grad_norm: 8.1579 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4363 loss: 1.4363 2022/07/28 12:52:28 - mmengine - INFO - Epoch(train) [104][3440/3757] lr: 3.8752e-03 eta: 1 day, 7:31:48 time: 0.3973 data_time: 0.0170 memory: 17007 grad_norm: 7.9545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7432 loss: 1.7432 2022/07/28 12:52:36 - mmengine - INFO - Epoch(train) [104][3460/3757] lr: 3.8752e-03 eta: 1 day, 7:31:40 time: 0.3943 data_time: 0.0139 memory: 17007 grad_norm: 8.0503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7235 loss: 1.7235 2022/07/28 12:52:44 - mmengine - INFO - Epoch(train) [104][3480/3757] lr: 3.8752e-03 eta: 1 day, 7:31:33 time: 0.4082 data_time: 0.0156 memory: 17007 grad_norm: 7.9585 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7542 loss: 1.7542 2022/07/28 12:52:52 - mmengine - INFO - Epoch(train) [104][3500/3757] lr: 3.8752e-03 eta: 1 day, 7:31:25 time: 0.3970 data_time: 0.0162 memory: 17007 grad_norm: 8.0786 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7067 loss: 1.7067 2022/07/28 12:53:00 - mmengine - INFO - Epoch(train) [104][3520/3757] lr: 3.8752e-03 eta: 1 day, 7:31:17 time: 0.3983 data_time: 0.0168 memory: 17007 grad_norm: 8.0948 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5654 loss: 1.5654 2022/07/28 12:53:08 - mmengine - INFO - Epoch(train) [104][3540/3757] lr: 3.8752e-03 eta: 1 day, 7:31:09 time: 0.4014 data_time: 0.0174 memory: 17007 grad_norm: 7.9621 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8362 loss: 1.8362 2022/07/28 12:53:16 - mmengine - INFO - Epoch(train) [104][3560/3757] lr: 3.8752e-03 eta: 1 day, 7:31:01 time: 0.3945 data_time: 0.0158 memory: 17007 grad_norm: 8.1538 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8322 loss: 1.8322 2022/07/28 12:53:24 - mmengine - INFO - Epoch(train) [104][3580/3757] lr: 3.8752e-03 eta: 1 day, 7:30:53 time: 0.4053 data_time: 0.0148 memory: 17007 grad_norm: 7.6594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9961 loss: 1.9961 2022/07/28 12:53:32 - mmengine - INFO - Epoch(train) [104][3600/3757] lr: 3.8752e-03 eta: 1 day, 7:30:45 time: 0.3939 data_time: 0.0157 memory: 17007 grad_norm: 8.1207 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6555 loss: 1.6555 2022/07/28 12:53:40 - mmengine - INFO - Epoch(train) [104][3620/3757] lr: 3.8752e-03 eta: 1 day, 7:30:37 time: 0.4059 data_time: 0.0153 memory: 17007 grad_norm: 8.0225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8294 loss: 1.8294 2022/07/28 12:53:48 - mmengine - INFO - Epoch(train) [104][3640/3757] lr: 3.8752e-03 eta: 1 day, 7:30:29 time: 0.3988 data_time: 0.0168 memory: 17007 grad_norm: 8.0094 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8192 loss: 1.8192 2022/07/28 12:53:56 - mmengine - INFO - Epoch(train) [104][3660/3757] lr: 3.8752e-03 eta: 1 day, 7:30:21 time: 0.3946 data_time: 0.0156 memory: 17007 grad_norm: 7.9314 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6533 loss: 1.6533 2022/07/28 12:54:04 - mmengine - INFO - Epoch(train) [104][3680/3757] lr: 3.8752e-03 eta: 1 day, 7:30:13 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 8.3922 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0081 loss: 2.0081 2022/07/28 12:54:12 - mmengine - INFO - Epoch(train) [104][3700/3757] lr: 3.8752e-03 eta: 1 day, 7:30:05 time: 0.3975 data_time: 0.0165 memory: 17007 grad_norm: 8.2293 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7433 loss: 1.7433 2022/07/28 12:54:19 - mmengine - INFO - Epoch(train) [104][3720/3757] lr: 3.8752e-03 eta: 1 day, 7:29:57 time: 0.3961 data_time: 0.0162 memory: 17007 grad_norm: 8.5054 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9898 loss: 1.9898 2022/07/28 12:54:28 - mmengine - INFO - Epoch(train) [104][3740/3757] lr: 3.8752e-03 eta: 1 day, 7:29:50 time: 0.4001 data_time: 0.0140 memory: 17007 grad_norm: 8.3335 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7836 loss: 1.7836 2022/07/28 12:54:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:54:34 - mmengine - INFO - Epoch(train) [104][3757/3757] lr: 3.8752e-03 eta: 1 day, 7:29:50 time: 0.3970 data_time: 0.0154 memory: 17007 grad_norm: 8.0909 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.8541 loss: 1.8541 2022/07/28 12:54:34 - mmengine - INFO - Saving checkpoint at 104 epochs 2022/07/28 12:54:45 - mmengine - INFO - Epoch(train) [105][20/3757] lr: 3.7904e-03 eta: 1 day, 7:29:31 time: 0.4396 data_time: 0.0620 memory: 17007 grad_norm: 8.2819 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9477 loss: 1.9477 2022/07/28 12:54:53 - mmengine - INFO - Epoch(train) [105][40/3757] lr: 3.7904e-03 eta: 1 day, 7:29:23 time: 0.4007 data_time: 0.0173 memory: 17007 grad_norm: 7.7486 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6769 loss: 1.6769 2022/07/28 12:55:01 - mmengine - INFO - Epoch(train) [105][60/3757] lr: 3.7904e-03 eta: 1 day, 7:29:15 time: 0.3936 data_time: 0.0158 memory: 17007 grad_norm: 7.9677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6784 loss: 1.6784 2022/07/28 12:55:09 - mmengine - INFO - Epoch(train) [105][80/3757] lr: 3.7904e-03 eta: 1 day, 7:29:07 time: 0.4024 data_time: 0.0165 memory: 17007 grad_norm: 8.2176 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7580 loss: 1.7580 2022/07/28 12:55:17 - mmengine - INFO - Epoch(train) [105][100/3757] lr: 3.7904e-03 eta: 1 day, 7:28:59 time: 0.3976 data_time: 0.0151 memory: 17007 grad_norm: 8.1943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7567 loss: 1.7567 2022/07/28 12:55:25 - mmengine - INFO - Epoch(train) [105][120/3757] lr: 3.7904e-03 eta: 1 day, 7:28:51 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 7.6096 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8518 loss: 1.8518 2022/07/28 12:55:33 - mmengine - INFO - Epoch(train) [105][140/3757] lr: 3.7904e-03 eta: 1 day, 7:28:43 time: 0.3974 data_time: 0.0149 memory: 17007 grad_norm: 7.6507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6706 loss: 1.6706 2022/07/28 12:55:41 - mmengine - INFO - Epoch(train) [105][160/3757] lr: 3.7904e-03 eta: 1 day, 7:28:35 time: 0.3962 data_time: 0.0158 memory: 17007 grad_norm: 7.8784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7538 loss: 1.7538 2022/07/28 12:55:49 - mmengine - INFO - Epoch(train) [105][180/3757] lr: 3.7904e-03 eta: 1 day, 7:28:27 time: 0.4012 data_time: 0.0163 memory: 17007 grad_norm: 8.3856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1255 loss: 2.1255 2022/07/28 12:55:57 - mmengine - INFO - Epoch(train) [105][200/3757] lr: 3.7904e-03 eta: 1 day, 7:28:19 time: 0.4009 data_time: 0.0165 memory: 17007 grad_norm: 8.1524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0080 loss: 2.0080 2022/07/28 12:56:05 - mmengine - INFO - Epoch(train) [105][220/3757] lr: 3.7904e-03 eta: 1 day, 7:28:11 time: 0.3943 data_time: 0.0140 memory: 17007 grad_norm: 8.1594 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8534 loss: 1.8534 2022/07/28 12:56:13 - mmengine - INFO - Epoch(train) [105][240/3757] lr: 3.7904e-03 eta: 1 day, 7:28:03 time: 0.4028 data_time: 0.0158 memory: 17007 grad_norm: 8.0681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6293 loss: 1.6293 2022/07/28 12:56:21 - mmengine - INFO - Epoch(train) [105][260/3757] lr: 3.7904e-03 eta: 1 day, 7:27:56 time: 0.4040 data_time: 0.0155 memory: 17007 grad_norm: 8.0690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6121 loss: 1.6121 2022/07/28 12:56:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 12:56:29 - mmengine - INFO - Epoch(train) [105][280/3757] lr: 3.7904e-03 eta: 1 day, 7:27:48 time: 0.4026 data_time: 0.0164 memory: 17007 grad_norm: 7.7360 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5470 loss: 1.5470 2022/07/28 12:56:37 - mmengine - INFO - Epoch(train) [105][300/3757] lr: 3.7904e-03 eta: 1 day, 7:27:40 time: 0.4144 data_time: 0.0147 memory: 17007 grad_norm: 8.0968 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7932 loss: 1.7932 2022/07/28 12:56:45 - mmengine - INFO - Epoch(train) [105][320/3757] lr: 3.7904e-03 eta: 1 day, 7:27:32 time: 0.3948 data_time: 0.0151 memory: 17007 grad_norm: 8.1519 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5597 loss: 1.5597 2022/07/28 12:56:53 - mmengine - INFO - Epoch(train) [105][340/3757] lr: 3.7904e-03 eta: 1 day, 7:27:24 time: 0.3976 data_time: 0.0160 memory: 17007 grad_norm: 8.0316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8224 loss: 1.8224 2022/07/28 12:57:01 - mmengine - INFO - Epoch(train) [105][360/3757] lr: 3.7904e-03 eta: 1 day, 7:27:16 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 8.0822 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8411 loss: 1.8411 2022/07/28 12:57:09 - mmengine - INFO - Epoch(train) [105][380/3757] lr: 3.7904e-03 eta: 1 day, 7:27:08 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 8.4333 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8665 loss: 1.8665 2022/07/28 12:57:17 - mmengine - INFO - Epoch(train) [105][400/3757] lr: 3.7904e-03 eta: 1 day, 7:27:00 time: 0.3965 data_time: 0.0160 memory: 17007 grad_norm: 8.2592 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7563 loss: 1.7563 2022/07/28 12:57:25 - mmengine - INFO - Epoch(train) [105][420/3757] lr: 3.7904e-03 eta: 1 day, 7:26:52 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 7.8340 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7650 loss: 1.7650 2022/07/28 12:57:33 - mmengine - INFO - Epoch(train) [105][440/3757] lr: 3.7904e-03 eta: 1 day, 7:26:44 time: 0.3994 data_time: 0.0161 memory: 17007 grad_norm: 8.1361 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4996 loss: 1.4996 2022/07/28 12:57:41 - mmengine - INFO - Epoch(train) [105][460/3757] lr: 3.7904e-03 eta: 1 day, 7:26:36 time: 0.3960 data_time: 0.0144 memory: 17007 grad_norm: 8.1533 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9420 loss: 1.9420 2022/07/28 12:57:49 - mmengine - INFO - Epoch(train) [105][480/3757] lr: 3.7904e-03 eta: 1 day, 7:26:29 time: 0.4031 data_time: 0.0164 memory: 17007 grad_norm: 8.2363 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1920 loss: 2.1920 2022/07/28 12:57:57 - mmengine - INFO - Epoch(train) [105][500/3757] lr: 3.7904e-03 eta: 1 day, 7:26:21 time: 0.3949 data_time: 0.0152 memory: 17007 grad_norm: 8.0812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8921 loss: 1.8921 2022/07/28 12:58:05 - mmengine - INFO - Epoch(train) [105][520/3757] lr: 3.7904e-03 eta: 1 day, 7:26:13 time: 0.3952 data_time: 0.0169 memory: 17007 grad_norm: 8.0222 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8355 loss: 1.8355 2022/07/28 12:58:13 - mmengine - INFO - Epoch(train) [105][540/3757] lr: 3.7904e-03 eta: 1 day, 7:26:05 time: 0.3975 data_time: 0.0150 memory: 17007 grad_norm: 7.8571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9956 loss: 1.9956 2022/07/28 12:58:21 - mmengine - INFO - Epoch(train) [105][560/3757] lr: 3.7904e-03 eta: 1 day, 7:25:57 time: 0.3979 data_time: 0.0151 memory: 17007 grad_norm: 8.3355 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9289 loss: 1.9289 2022/07/28 12:58:29 - mmengine - INFO - Epoch(train) [105][580/3757] lr: 3.7904e-03 eta: 1 day, 7:25:49 time: 0.3958 data_time: 0.0157 memory: 17007 grad_norm: 8.0229 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0285 loss: 2.0285 2022/07/28 12:58:37 - mmengine - INFO - Epoch(train) [105][600/3757] lr: 3.7904e-03 eta: 1 day, 7:25:41 time: 0.3947 data_time: 0.0158 memory: 17007 grad_norm: 8.1907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8305 loss: 1.8305 2022/07/28 12:58:45 - mmengine - INFO - Epoch(train) [105][620/3757] lr: 3.7904e-03 eta: 1 day, 7:25:33 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 8.1402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9673 loss: 1.9673 2022/07/28 12:58:52 - mmengine - INFO - Epoch(train) [105][640/3757] lr: 3.7904e-03 eta: 1 day, 7:25:25 time: 0.3938 data_time: 0.0159 memory: 17007 grad_norm: 8.2260 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6319 loss: 1.6319 2022/07/28 12:59:01 - mmengine - INFO - Epoch(train) [105][660/3757] lr: 3.7904e-03 eta: 1 day, 7:25:17 time: 0.4063 data_time: 0.0173 memory: 17007 grad_norm: 8.1363 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8950 loss: 1.8950 2022/07/28 12:59:09 - mmengine - INFO - Epoch(train) [105][680/3757] lr: 3.7904e-03 eta: 1 day, 7:25:09 time: 0.3971 data_time: 0.0147 memory: 17007 grad_norm: 8.0170 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8877 loss: 1.8877 2022/07/28 12:59:16 - mmengine - INFO - Epoch(train) [105][700/3757] lr: 3.7904e-03 eta: 1 day, 7:25:01 time: 0.3917 data_time: 0.0136 memory: 17007 grad_norm: 8.0537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8255 loss: 1.8255 2022/07/28 12:59:24 - mmengine - INFO - Epoch(train) [105][720/3757] lr: 3.7904e-03 eta: 1 day, 7:24:53 time: 0.4007 data_time: 0.0162 memory: 17007 grad_norm: 8.1126 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6884 loss: 1.6884 2022/07/28 12:59:32 - mmengine - INFO - Epoch(train) [105][740/3757] lr: 3.7904e-03 eta: 1 day, 7:24:45 time: 0.3964 data_time: 0.0143 memory: 17007 grad_norm: 7.8927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8794 loss: 1.8794 2022/07/28 12:59:40 - mmengine - INFO - Epoch(train) [105][760/3757] lr: 3.7904e-03 eta: 1 day, 7:24:37 time: 0.3990 data_time: 0.0171 memory: 17007 grad_norm: 8.0953 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7706 loss: 1.7706 2022/07/28 12:59:48 - mmengine - INFO - Epoch(train) [105][780/3757] lr: 3.7904e-03 eta: 1 day, 7:24:29 time: 0.3999 data_time: 0.0157 memory: 17007 grad_norm: 8.1592 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7763 loss: 1.7763 2022/07/28 12:59:56 - mmengine - INFO - Epoch(train) [105][800/3757] lr: 3.7904e-03 eta: 1 day, 7:24:21 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 7.8843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6267 loss: 1.6267 2022/07/28 13:00:04 - mmengine - INFO - Epoch(train) [105][820/3757] lr: 3.7904e-03 eta: 1 day, 7:24:13 time: 0.3959 data_time: 0.0154 memory: 17007 grad_norm: 8.1737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1312 loss: 2.1312 2022/07/28 13:00:12 - mmengine - INFO - Epoch(train) [105][840/3757] lr: 3.7904e-03 eta: 1 day, 7:24:05 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 8.1214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5331 loss: 1.5331 2022/07/28 13:00:20 - mmengine - INFO - Epoch(train) [105][860/3757] lr: 3.7904e-03 eta: 1 day, 7:23:58 time: 0.3956 data_time: 0.0156 memory: 17007 grad_norm: 8.2767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7848 loss: 1.7848 2022/07/28 13:00:28 - mmengine - INFO - Epoch(train) [105][880/3757] lr: 3.7904e-03 eta: 1 day, 7:23:50 time: 0.3999 data_time: 0.0168 memory: 17007 grad_norm: 7.9214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8417 loss: 1.8417 2022/07/28 13:00:36 - mmengine - INFO - Epoch(train) [105][900/3757] lr: 3.7904e-03 eta: 1 day, 7:23:42 time: 0.3944 data_time: 0.0149 memory: 17007 grad_norm: 8.1365 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0438 loss: 2.0438 2022/07/28 13:00:44 - mmengine - INFO - Epoch(train) [105][920/3757] lr: 3.7904e-03 eta: 1 day, 7:23:34 time: 0.4116 data_time: 0.0167 memory: 17007 grad_norm: 8.1661 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9720 loss: 1.9720 2022/07/28 13:00:52 - mmengine - INFO - Epoch(train) [105][940/3757] lr: 3.7904e-03 eta: 1 day, 7:23:26 time: 0.3965 data_time: 0.0156 memory: 17007 grad_norm: 8.2361 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1413 loss: 2.1413 2022/07/28 13:01:00 - mmengine - INFO - Epoch(train) [105][960/3757] lr: 3.7904e-03 eta: 1 day, 7:23:18 time: 0.3959 data_time: 0.0167 memory: 17007 grad_norm: 7.7405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7546 loss: 1.7546 2022/07/28 13:01:08 - mmengine - INFO - Epoch(train) [105][980/3757] lr: 3.7904e-03 eta: 1 day, 7:23:10 time: 0.3947 data_time: 0.0145 memory: 17007 grad_norm: 7.7427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6205 loss: 1.6205 2022/07/28 13:01:16 - mmengine - INFO - Epoch(train) [105][1000/3757] lr: 3.7904e-03 eta: 1 day, 7:23:02 time: 0.3947 data_time: 0.0159 memory: 17007 grad_norm: 7.8012 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6980 loss: 1.6980 2022/07/28 13:01:24 - mmengine - INFO - Epoch(train) [105][1020/3757] lr: 3.7904e-03 eta: 1 day, 7:22:54 time: 0.3950 data_time: 0.0158 memory: 17007 grad_norm: 8.0078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8881 loss: 1.8881 2022/07/28 13:01:32 - mmengine - INFO - Epoch(train) [105][1040/3757] lr: 3.7904e-03 eta: 1 day, 7:22:46 time: 0.4042 data_time: 0.0162 memory: 17007 grad_norm: 8.0976 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6989 loss: 1.6989 2022/07/28 13:01:40 - mmengine - INFO - Epoch(train) [105][1060/3757] lr: 3.7904e-03 eta: 1 day, 7:22:38 time: 0.3998 data_time: 0.0154 memory: 17007 grad_norm: 8.5234 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9582 loss: 1.9582 2022/07/28 13:01:48 - mmengine - INFO - Epoch(train) [105][1080/3757] lr: 3.7904e-03 eta: 1 day, 7:22:30 time: 0.3967 data_time: 0.0159 memory: 17007 grad_norm: 8.4171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8471 loss: 1.8471 2022/07/28 13:01:56 - mmengine - INFO - Epoch(train) [105][1100/3757] lr: 3.7904e-03 eta: 1 day, 7:22:22 time: 0.3939 data_time: 0.0143 memory: 17007 grad_norm: 8.0162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8326 loss: 1.8326 2022/07/28 13:02:04 - mmengine - INFO - Epoch(train) [105][1120/3757] lr: 3.7904e-03 eta: 1 day, 7:22:15 time: 0.4119 data_time: 0.0163 memory: 17007 grad_norm: 7.8878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7920 loss: 1.7920 2022/07/28 13:02:12 - mmengine - INFO - Epoch(train) [105][1140/3757] lr: 3.7904e-03 eta: 1 day, 7:22:07 time: 0.3958 data_time: 0.0141 memory: 17007 grad_norm: 7.5953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4561 loss: 1.4561 2022/07/28 13:02:20 - mmengine - INFO - Epoch(train) [105][1160/3757] lr: 3.7904e-03 eta: 1 day, 7:21:59 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 7.8878 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6623 loss: 1.6623 2022/07/28 13:02:28 - mmengine - INFO - Epoch(train) [105][1180/3757] lr: 3.7904e-03 eta: 1 day, 7:21:51 time: 0.3996 data_time: 0.0141 memory: 17007 grad_norm: 8.1486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8910 loss: 1.8910 2022/07/28 13:02:36 - mmengine - INFO - Epoch(train) [105][1200/3757] lr: 3.7904e-03 eta: 1 day, 7:21:43 time: 0.3959 data_time: 0.0160 memory: 17007 grad_norm: 8.1983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6978 loss: 1.6978 2022/07/28 13:02:44 - mmengine - INFO - Epoch(train) [105][1220/3757] lr: 3.7904e-03 eta: 1 day, 7:21:35 time: 0.4052 data_time: 0.0148 memory: 17007 grad_norm: 8.4474 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8341 loss: 1.8341 2022/07/28 13:02:52 - mmengine - INFO - Epoch(train) [105][1240/3757] lr: 3.7904e-03 eta: 1 day, 7:21:27 time: 0.3969 data_time: 0.0165 memory: 17007 grad_norm: 8.0046 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0508 loss: 2.0508 2022/07/28 13:03:00 - mmengine - INFO - Epoch(train) [105][1260/3757] lr: 3.7904e-03 eta: 1 day, 7:21:19 time: 0.3984 data_time: 0.0147 memory: 17007 grad_norm: 8.1622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6162 loss: 1.6162 2022/07/28 13:03:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:03:08 - mmengine - INFO - Epoch(train) [105][1280/3757] lr: 3.7904e-03 eta: 1 day, 7:21:11 time: 0.3984 data_time: 0.0164 memory: 17007 grad_norm: 8.3632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9036 loss: 1.9036 2022/07/28 13:03:16 - mmengine - INFO - Epoch(train) [105][1300/3757] lr: 3.7904e-03 eta: 1 day, 7:21:03 time: 0.3946 data_time: 0.0149 memory: 17007 grad_norm: 7.8535 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6069 loss: 1.6069 2022/07/28 13:03:24 - mmengine - INFO - Epoch(train) [105][1320/3757] lr: 3.7904e-03 eta: 1 day, 7:20:55 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 7.8739 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7045 loss: 1.7045 2022/07/28 13:03:32 - mmengine - INFO - Epoch(train) [105][1340/3757] lr: 3.7904e-03 eta: 1 day, 7:20:47 time: 0.3973 data_time: 0.0142 memory: 17007 grad_norm: 8.5162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9296 loss: 1.9296 2022/07/28 13:03:40 - mmengine - INFO - Epoch(train) [105][1360/3757] lr: 3.7904e-03 eta: 1 day, 7:20:39 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 8.2841 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7968 loss: 1.7968 2022/07/28 13:03:47 - mmengine - INFO - Epoch(train) [105][1380/3757] lr: 3.7904e-03 eta: 1 day, 7:20:31 time: 0.3953 data_time: 0.0150 memory: 17007 grad_norm: 7.7704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7526 loss: 1.7526 2022/07/28 13:03:55 - mmengine - INFO - Epoch(train) [105][1400/3757] lr: 3.7904e-03 eta: 1 day, 7:20:24 time: 0.3970 data_time: 0.0163 memory: 17007 grad_norm: 7.6814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8647 loss: 1.8647 2022/07/28 13:04:03 - mmengine - INFO - Epoch(train) [105][1420/3757] lr: 3.7904e-03 eta: 1 day, 7:20:16 time: 0.3978 data_time: 0.0165 memory: 17007 grad_norm: 7.9942 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9200 loss: 1.9200 2022/07/28 13:04:11 - mmengine - INFO - Epoch(train) [105][1440/3757] lr: 3.7904e-03 eta: 1 day, 7:20:08 time: 0.3970 data_time: 0.0152 memory: 17007 grad_norm: 8.2268 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0182 loss: 2.0182 2022/07/28 13:04:19 - mmengine - INFO - Epoch(train) [105][1460/3757] lr: 3.7904e-03 eta: 1 day, 7:20:00 time: 0.4002 data_time: 0.0166 memory: 17007 grad_norm: 7.7791 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1090 loss: 2.1090 2022/07/28 13:04:27 - mmengine - INFO - Epoch(train) [105][1480/3757] lr: 3.7904e-03 eta: 1 day, 7:19:52 time: 0.3953 data_time: 0.0155 memory: 17007 grad_norm: 7.8712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6950 loss: 1.6950 2022/07/28 13:04:35 - mmengine - INFO - Epoch(train) [105][1500/3757] lr: 3.7904e-03 eta: 1 day, 7:19:44 time: 0.3966 data_time: 0.0165 memory: 17007 grad_norm: 7.8126 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7147 loss: 1.7147 2022/07/28 13:04:43 - mmengine - INFO - Epoch(train) [105][1520/3757] lr: 3.7904e-03 eta: 1 day, 7:19:36 time: 0.3964 data_time: 0.0161 memory: 17007 grad_norm: 8.4285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8297 loss: 1.8297 2022/07/28 13:04:51 - mmengine - INFO - Epoch(train) [105][1540/3757] lr: 3.7904e-03 eta: 1 day, 7:19:28 time: 0.3971 data_time: 0.0170 memory: 17007 grad_norm: 8.0563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9955 loss: 1.9955 2022/07/28 13:04:59 - mmengine - INFO - Epoch(train) [105][1560/3757] lr: 3.7904e-03 eta: 1 day, 7:19:20 time: 0.3928 data_time: 0.0150 memory: 17007 grad_norm: 7.9455 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9603 loss: 1.9603 2022/07/28 13:05:07 - mmengine - INFO - Epoch(train) [105][1580/3757] lr: 3.7904e-03 eta: 1 day, 7:19:12 time: 0.3959 data_time: 0.0166 memory: 17007 grad_norm: 7.9794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7290 loss: 1.7290 2022/07/28 13:05:15 - mmengine - INFO - Epoch(train) [105][1600/3757] lr: 3.7904e-03 eta: 1 day, 7:19:04 time: 0.3978 data_time: 0.0160 memory: 17007 grad_norm: 8.1186 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7647 loss: 1.7647 2022/07/28 13:05:23 - mmengine - INFO - Epoch(train) [105][1620/3757] lr: 3.7904e-03 eta: 1 day, 7:18:56 time: 0.3956 data_time: 0.0150 memory: 17007 grad_norm: 8.0508 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0999 loss: 2.0999 2022/07/28 13:05:31 - mmengine - INFO - Epoch(train) [105][1640/3757] lr: 3.7904e-03 eta: 1 day, 7:18:48 time: 0.3976 data_time: 0.0170 memory: 17007 grad_norm: 7.7270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5793 loss: 1.5793 2022/07/28 13:05:39 - mmengine - INFO - Epoch(train) [105][1660/3757] lr: 3.7904e-03 eta: 1 day, 7:18:40 time: 0.3946 data_time: 0.0140 memory: 17007 grad_norm: 8.3005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0484 loss: 2.0484 2022/07/28 13:05:47 - mmengine - INFO - Epoch(train) [105][1680/3757] lr: 3.7904e-03 eta: 1 day, 7:18:32 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 8.2185 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9742 loss: 1.9742 2022/07/28 13:05:54 - mmengine - INFO - Epoch(train) [105][1700/3757] lr: 3.7904e-03 eta: 1 day, 7:18:24 time: 0.3957 data_time: 0.0157 memory: 17007 grad_norm: 7.7972 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8210 loss: 1.8210 2022/07/28 13:06:02 - mmengine - INFO - Epoch(train) [105][1720/3757] lr: 3.7904e-03 eta: 1 day, 7:18:16 time: 0.3968 data_time: 0.0147 memory: 17007 grad_norm: 7.9575 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7072 loss: 1.7072 2022/07/28 13:06:10 - mmengine - INFO - Epoch(train) [105][1740/3757] lr: 3.7904e-03 eta: 1 day, 7:18:08 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 8.1153 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0261 loss: 2.0261 2022/07/28 13:06:18 - mmengine - INFO - Epoch(train) [105][1760/3757] lr: 3.7904e-03 eta: 1 day, 7:18:00 time: 0.3944 data_time: 0.0148 memory: 17007 grad_norm: 8.3032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9135 loss: 1.9135 2022/07/28 13:06:26 - mmengine - INFO - Epoch(train) [105][1780/3757] lr: 3.7904e-03 eta: 1 day, 7:17:52 time: 0.3947 data_time: 0.0152 memory: 17007 grad_norm: 8.2966 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8899 loss: 1.8899 2022/07/28 13:06:34 - mmengine - INFO - Epoch(train) [105][1800/3757] lr: 3.7904e-03 eta: 1 day, 7:17:44 time: 0.3995 data_time: 0.0159 memory: 17007 grad_norm: 7.9829 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6847 loss: 1.6847 2022/07/28 13:06:42 - mmengine - INFO - Epoch(train) [105][1820/3757] lr: 3.7904e-03 eta: 1 day, 7:17:37 time: 0.3977 data_time: 0.0155 memory: 17007 grad_norm: 8.1860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0987 loss: 2.0987 2022/07/28 13:06:50 - mmengine - INFO - Epoch(train) [105][1840/3757] lr: 3.7904e-03 eta: 1 day, 7:17:29 time: 0.3958 data_time: 0.0157 memory: 17007 grad_norm: 8.3542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9409 loss: 1.9409 2022/07/28 13:06:58 - mmengine - INFO - Epoch(train) [105][1860/3757] lr: 3.7904e-03 eta: 1 day, 7:17:21 time: 0.3958 data_time: 0.0149 memory: 17007 grad_norm: 8.1913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6556 loss: 1.6556 2022/07/28 13:07:06 - mmengine - INFO - Epoch(train) [105][1880/3757] lr: 3.7904e-03 eta: 1 day, 7:17:13 time: 0.3965 data_time: 0.0148 memory: 17007 grad_norm: 7.8454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7119 loss: 1.7119 2022/07/28 13:07:14 - mmengine - INFO - Epoch(train) [105][1900/3757] lr: 3.7904e-03 eta: 1 day, 7:17:05 time: 0.3974 data_time: 0.0159 memory: 17007 grad_norm: 7.9853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7312 loss: 1.7312 2022/07/28 13:07:22 - mmengine - INFO - Epoch(train) [105][1920/3757] lr: 3.7904e-03 eta: 1 day, 7:16:57 time: 0.3956 data_time: 0.0150 memory: 17007 grad_norm: 8.1859 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0524 loss: 2.0524 2022/07/28 13:07:30 - mmengine - INFO - Epoch(train) [105][1940/3757] lr: 3.7904e-03 eta: 1 day, 7:16:49 time: 0.3966 data_time: 0.0161 memory: 17007 grad_norm: 7.8752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7007 loss: 1.7007 2022/07/28 13:07:38 - mmengine - INFO - Epoch(train) [105][1960/3757] lr: 3.7904e-03 eta: 1 day, 7:16:41 time: 0.3959 data_time: 0.0158 memory: 17007 grad_norm: 8.1077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9752 loss: 1.9752 2022/07/28 13:07:46 - mmengine - INFO - Epoch(train) [105][1980/3757] lr: 3.7904e-03 eta: 1 day, 7:16:33 time: 0.3943 data_time: 0.0149 memory: 17007 grad_norm: 8.1477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9639 loss: 1.9639 2022/07/28 13:07:54 - mmengine - INFO - Epoch(train) [105][2000/3757] lr: 3.7904e-03 eta: 1 day, 7:16:25 time: 0.3966 data_time: 0.0166 memory: 17007 grad_norm: 8.0939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6941 loss: 1.6941 2022/07/28 13:08:01 - mmengine - INFO - Epoch(train) [105][2020/3757] lr: 3.7904e-03 eta: 1 day, 7:16:17 time: 0.3962 data_time: 0.0148 memory: 17007 grad_norm: 8.0823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8942 loss: 1.8942 2022/07/28 13:08:09 - mmengine - INFO - Epoch(train) [105][2040/3757] lr: 3.7904e-03 eta: 1 day, 7:16:09 time: 0.3963 data_time: 0.0151 memory: 17007 grad_norm: 7.9478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8409 loss: 1.8409 2022/07/28 13:08:17 - mmengine - INFO - Epoch(train) [105][2060/3757] lr: 3.7904e-03 eta: 1 day, 7:16:01 time: 0.3929 data_time: 0.0126 memory: 17007 grad_norm: 8.1801 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0154 loss: 2.0154 2022/07/28 13:08:25 - mmengine - INFO - Epoch(train) [105][2080/3757] lr: 3.7904e-03 eta: 1 day, 7:15:53 time: 0.3962 data_time: 0.0158 memory: 17007 grad_norm: 8.3204 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0567 loss: 2.0567 2022/07/28 13:08:33 - mmengine - INFO - Epoch(train) [105][2100/3757] lr: 3.7904e-03 eta: 1 day, 7:15:45 time: 0.3993 data_time: 0.0166 memory: 17007 grad_norm: 7.9927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7674 loss: 1.7674 2022/07/28 13:08:41 - mmengine - INFO - Epoch(train) [105][2120/3757] lr: 3.7904e-03 eta: 1 day, 7:15:37 time: 0.3960 data_time: 0.0159 memory: 17007 grad_norm: 8.2693 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0577 loss: 2.0577 2022/07/28 13:08:49 - mmengine - INFO - Epoch(train) [105][2140/3757] lr: 3.7904e-03 eta: 1 day, 7:15:29 time: 0.3974 data_time: 0.0159 memory: 17007 grad_norm: 7.7866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6513 loss: 1.6513 2022/07/28 13:08:57 - mmengine - INFO - Epoch(train) [105][2160/3757] lr: 3.7904e-03 eta: 1 day, 7:15:21 time: 0.3959 data_time: 0.0157 memory: 17007 grad_norm: 7.7167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7452 loss: 1.7452 2022/07/28 13:09:05 - mmengine - INFO - Epoch(train) [105][2180/3757] lr: 3.7904e-03 eta: 1 day, 7:15:13 time: 0.3933 data_time: 0.0138 memory: 17007 grad_norm: 8.0849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9863 loss: 1.9863 2022/07/28 13:09:13 - mmengine - INFO - Epoch(train) [105][2200/3757] lr: 3.7904e-03 eta: 1 day, 7:15:05 time: 0.3964 data_time: 0.0164 memory: 17007 grad_norm: 7.8723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8850 loss: 1.8850 2022/07/28 13:09:21 - mmengine - INFO - Epoch(train) [105][2220/3757] lr: 3.7904e-03 eta: 1 day, 7:14:57 time: 0.3941 data_time: 0.0139 memory: 17007 grad_norm: 8.0643 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9966 loss: 1.9966 2022/07/28 13:09:29 - mmengine - INFO - Epoch(train) [105][2240/3757] lr: 3.7904e-03 eta: 1 day, 7:14:49 time: 0.3962 data_time: 0.0161 memory: 17007 grad_norm: 7.8374 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7630 loss: 1.7630 2022/07/28 13:09:37 - mmengine - INFO - Epoch(train) [105][2260/3757] lr: 3.7904e-03 eta: 1 day, 7:14:41 time: 0.3938 data_time: 0.0151 memory: 17007 grad_norm: 7.8111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6666 loss: 1.6666 2022/07/28 13:09:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:09:45 - mmengine - INFO - Epoch(train) [105][2280/3757] lr: 3.7904e-03 eta: 1 day, 7:14:33 time: 0.3955 data_time: 0.0143 memory: 17007 grad_norm: 8.1295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0110 loss: 2.0110 2022/07/28 13:09:52 - mmengine - INFO - Epoch(train) [105][2300/3757] lr: 3.7904e-03 eta: 1 day, 7:14:25 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 8.1746 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1521 loss: 2.1521 2022/07/28 13:10:01 - mmengine - INFO - Epoch(train) [105][2320/3757] lr: 3.7904e-03 eta: 1 day, 7:14:18 time: 0.4068 data_time: 0.0175 memory: 17007 grad_norm: 8.3827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8293 loss: 1.8293 2022/07/28 13:10:08 - mmengine - INFO - Epoch(train) [105][2340/3757] lr: 3.7904e-03 eta: 1 day, 7:14:10 time: 0.3962 data_time: 0.0160 memory: 17007 grad_norm: 8.1542 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6300 loss: 1.6300 2022/07/28 13:10:16 - mmengine - INFO - Epoch(train) [105][2360/3757] lr: 3.7904e-03 eta: 1 day, 7:14:02 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 8.3283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7010 loss: 1.7010 2022/07/28 13:10:25 - mmengine - INFO - Epoch(train) [105][2380/3757] lr: 3.7904e-03 eta: 1 day, 7:13:54 time: 0.4175 data_time: 0.0159 memory: 17007 grad_norm: 8.2301 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7880 loss: 1.7880 2022/07/28 13:10:33 - mmengine - INFO - Epoch(train) [105][2400/3757] lr: 3.7904e-03 eta: 1 day, 7:13:46 time: 0.3963 data_time: 0.0150 memory: 17007 grad_norm: 8.3043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8686 loss: 1.8686 2022/07/28 13:10:41 - mmengine - INFO - Epoch(train) [105][2420/3757] lr: 3.7904e-03 eta: 1 day, 7:13:38 time: 0.3997 data_time: 0.0158 memory: 17007 grad_norm: 8.0785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4886 loss: 1.4886 2022/07/28 13:10:49 - mmengine - INFO - Epoch(train) [105][2440/3757] lr: 3.7904e-03 eta: 1 day, 7:13:30 time: 0.4002 data_time: 0.0161 memory: 17007 grad_norm: 8.3768 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8992 loss: 1.8992 2022/07/28 13:10:57 - mmengine - INFO - Epoch(train) [105][2460/3757] lr: 3.7904e-03 eta: 1 day, 7:13:22 time: 0.3954 data_time: 0.0151 memory: 17007 grad_norm: 8.2078 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9002 loss: 1.9002 2022/07/28 13:11:05 - mmengine - INFO - Epoch(train) [105][2480/3757] lr: 3.7904e-03 eta: 1 day, 7:13:14 time: 0.4020 data_time: 0.0155 memory: 17007 grad_norm: 8.3119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0325 loss: 2.0325 2022/07/28 13:11:13 - mmengine - INFO - Epoch(train) [105][2500/3757] lr: 3.7904e-03 eta: 1 day, 7:13:07 time: 0.3983 data_time: 0.0147 memory: 17007 grad_norm: 8.1328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0065 loss: 2.0065 2022/07/28 13:11:21 - mmengine - INFO - Epoch(train) [105][2520/3757] lr: 3.7904e-03 eta: 1 day, 7:12:59 time: 0.3971 data_time: 0.0153 memory: 17007 grad_norm: 8.5347 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6782 loss: 1.6782 2022/07/28 13:11:29 - mmengine - INFO - Epoch(train) [105][2540/3757] lr: 3.7904e-03 eta: 1 day, 7:12:51 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 8.0677 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0324 loss: 2.0324 2022/07/28 13:11:36 - mmengine - INFO - Epoch(train) [105][2560/3757] lr: 3.7904e-03 eta: 1 day, 7:12:43 time: 0.3950 data_time: 0.0154 memory: 17007 grad_norm: 7.9559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6531 loss: 1.6531 2022/07/28 13:11:44 - mmengine - INFO - Epoch(train) [105][2580/3757] lr: 3.7904e-03 eta: 1 day, 7:12:35 time: 0.3963 data_time: 0.0140 memory: 17007 grad_norm: 8.1353 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9803 loss: 1.9803 2022/07/28 13:11:52 - mmengine - INFO - Epoch(train) [105][2600/3757] lr: 3.7904e-03 eta: 1 day, 7:12:27 time: 0.3973 data_time: 0.0165 memory: 17007 grad_norm: 8.0522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9178 loss: 1.9178 2022/07/28 13:12:00 - mmengine - INFO - Epoch(train) [105][2620/3757] lr: 3.7904e-03 eta: 1 day, 7:12:19 time: 0.4034 data_time: 0.0154 memory: 17007 grad_norm: 8.1716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5743 loss: 1.5743 2022/07/28 13:12:08 - mmengine - INFO - Epoch(train) [105][2640/3757] lr: 3.7904e-03 eta: 1 day, 7:12:11 time: 0.3988 data_time: 0.0156 memory: 17007 grad_norm: 7.7919 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7010 loss: 1.7010 2022/07/28 13:12:16 - mmengine - INFO - Epoch(train) [105][2660/3757] lr: 3.7904e-03 eta: 1 day, 7:12:03 time: 0.3936 data_time: 0.0132 memory: 17007 grad_norm: 8.0821 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9650 loss: 1.9650 2022/07/28 13:12:24 - mmengine - INFO - Epoch(train) [105][2680/3757] lr: 3.7904e-03 eta: 1 day, 7:11:55 time: 0.3967 data_time: 0.0161 memory: 17007 grad_norm: 8.0243 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8522 loss: 1.8522 2022/07/28 13:12:32 - mmengine - INFO - Epoch(train) [105][2700/3757] lr: 3.7904e-03 eta: 1 day, 7:11:47 time: 0.3958 data_time: 0.0166 memory: 17007 grad_norm: 8.3928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9312 loss: 1.9312 2022/07/28 13:12:40 - mmengine - INFO - Epoch(train) [105][2720/3757] lr: 3.7904e-03 eta: 1 day, 7:11:39 time: 0.3954 data_time: 0.0152 memory: 17007 grad_norm: 8.0353 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7694 loss: 1.7694 2022/07/28 13:12:48 - mmengine - INFO - Epoch(train) [105][2740/3757] lr: 3.7904e-03 eta: 1 day, 7:11:31 time: 0.3940 data_time: 0.0136 memory: 17007 grad_norm: 8.2246 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7057 loss: 1.7057 2022/07/28 13:12:56 - mmengine - INFO - Epoch(train) [105][2760/3757] lr: 3.7904e-03 eta: 1 day, 7:11:23 time: 0.3992 data_time: 0.0172 memory: 17007 grad_norm: 7.9769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5224 loss: 1.5224 2022/07/28 13:13:04 - mmengine - INFO - Epoch(train) [105][2780/3757] lr: 3.7904e-03 eta: 1 day, 7:11:15 time: 0.3936 data_time: 0.0132 memory: 17007 grad_norm: 8.4202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7804 loss: 1.7804 2022/07/28 13:13:12 - mmengine - INFO - Epoch(train) [105][2800/3757] lr: 3.7904e-03 eta: 1 day, 7:11:07 time: 0.3987 data_time: 0.0171 memory: 17007 grad_norm: 8.3469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8781 loss: 1.8781 2022/07/28 13:13:20 - mmengine - INFO - Epoch(train) [105][2820/3757] lr: 3.7904e-03 eta: 1 day, 7:10:59 time: 0.3954 data_time: 0.0150 memory: 17007 grad_norm: 8.2026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7446 loss: 1.7446 2022/07/28 13:13:28 - mmengine - INFO - Epoch(train) [105][2840/3757] lr: 3.7904e-03 eta: 1 day, 7:10:51 time: 0.3950 data_time: 0.0151 memory: 17007 grad_norm: 8.3308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9793 loss: 1.9793 2022/07/28 13:13:36 - mmengine - INFO - Epoch(train) [105][2860/3757] lr: 3.7904e-03 eta: 1 day, 7:10:43 time: 0.3983 data_time: 0.0155 memory: 17007 grad_norm: 8.2337 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8775 loss: 1.8775 2022/07/28 13:13:44 - mmengine - INFO - Epoch(train) [105][2880/3757] lr: 3.7904e-03 eta: 1 day, 7:10:36 time: 0.4041 data_time: 0.0156 memory: 17007 grad_norm: 7.9934 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7324 loss: 1.7324 2022/07/28 13:13:52 - mmengine - INFO - Epoch(train) [105][2900/3757] lr: 3.7904e-03 eta: 1 day, 7:10:28 time: 0.3977 data_time: 0.0152 memory: 17007 grad_norm: 8.0337 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7973 loss: 1.7973 2022/07/28 13:14:00 - mmengine - INFO - Epoch(train) [105][2920/3757] lr: 3.7904e-03 eta: 1 day, 7:10:20 time: 0.3960 data_time: 0.0152 memory: 17007 grad_norm: 7.8839 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8347 loss: 1.8347 2022/07/28 13:14:08 - mmengine - INFO - Epoch(train) [105][2940/3757] lr: 3.7904e-03 eta: 1 day, 7:10:12 time: 0.3949 data_time: 0.0153 memory: 17007 grad_norm: 8.0005 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7750 loss: 1.7750 2022/07/28 13:14:16 - mmengine - INFO - Epoch(train) [105][2960/3757] lr: 3.7904e-03 eta: 1 day, 7:10:04 time: 0.3964 data_time: 0.0163 memory: 17007 grad_norm: 8.1950 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0053 loss: 2.0053 2022/07/28 13:14:24 - mmengine - INFO - Epoch(train) [105][2980/3757] lr: 3.7904e-03 eta: 1 day, 7:09:56 time: 0.3991 data_time: 0.0158 memory: 17007 grad_norm: 8.1022 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4648 loss: 1.4648 2022/07/28 13:14:31 - mmengine - INFO - Epoch(train) [105][3000/3757] lr: 3.7904e-03 eta: 1 day, 7:09:48 time: 0.3966 data_time: 0.0164 memory: 17007 grad_norm: 7.8185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/07/28 13:14:40 - mmengine - INFO - Epoch(train) [105][3020/3757] lr: 3.7904e-03 eta: 1 day, 7:09:40 time: 0.4034 data_time: 0.0152 memory: 17007 grad_norm: 8.0744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1061 loss: 2.1061 2022/07/28 13:14:47 - mmengine - INFO - Epoch(train) [105][3040/3757] lr: 3.7904e-03 eta: 1 day, 7:09:32 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 7.9387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6976 loss: 1.6976 2022/07/28 13:14:55 - mmengine - INFO - Epoch(train) [105][3060/3757] lr: 3.7904e-03 eta: 1 day, 7:09:24 time: 0.3949 data_time: 0.0158 memory: 17007 grad_norm: 7.9168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6285 loss: 1.6285 2022/07/28 13:15:03 - mmengine - INFO - Epoch(train) [105][3080/3757] lr: 3.7904e-03 eta: 1 day, 7:09:16 time: 0.3949 data_time: 0.0152 memory: 17007 grad_norm: 8.1181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8216 loss: 1.8216 2022/07/28 13:15:11 - mmengine - INFO - Epoch(train) [105][3100/3757] lr: 3.7904e-03 eta: 1 day, 7:09:08 time: 0.3956 data_time: 0.0163 memory: 17007 grad_norm: 8.2242 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2552 loss: 2.2552 2022/07/28 13:15:19 - mmengine - INFO - Epoch(train) [105][3120/3757] lr: 3.7904e-03 eta: 1 day, 7:09:00 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 8.2502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8711 loss: 1.8711 2022/07/28 13:15:27 - mmengine - INFO - Epoch(train) [105][3140/3757] lr: 3.7904e-03 eta: 1 day, 7:08:52 time: 0.3945 data_time: 0.0151 memory: 17007 grad_norm: 8.1842 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0675 loss: 2.0675 2022/07/28 13:15:35 - mmengine - INFO - Epoch(train) [105][3160/3757] lr: 3.7904e-03 eta: 1 day, 7:08:44 time: 0.3971 data_time: 0.0176 memory: 17007 grad_norm: 8.0761 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7680 loss: 1.7680 2022/07/28 13:15:43 - mmengine - INFO - Epoch(train) [105][3180/3757] lr: 3.7904e-03 eta: 1 day, 7:08:36 time: 0.3971 data_time: 0.0149 memory: 17007 grad_norm: 7.8667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7835 loss: 1.7835 2022/07/28 13:15:51 - mmengine - INFO - Epoch(train) [105][3200/3757] lr: 3.7904e-03 eta: 1 day, 7:08:28 time: 0.3967 data_time: 0.0161 memory: 17007 grad_norm: 8.3927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7638 loss: 1.7638 2022/07/28 13:15:59 - mmengine - INFO - Epoch(train) [105][3220/3757] lr: 3.7904e-03 eta: 1 day, 7:08:21 time: 0.3972 data_time: 0.0147 memory: 17007 grad_norm: 8.0828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7140 loss: 1.7140 2022/07/28 13:16:07 - mmengine - INFO - Epoch(train) [105][3240/3757] lr: 3.7904e-03 eta: 1 day, 7:08:13 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 8.5694 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5802 loss: 1.5802 2022/07/28 13:16:15 - mmengine - INFO - Epoch(train) [105][3260/3757] lr: 3.7904e-03 eta: 1 day, 7:08:05 time: 0.3972 data_time: 0.0155 memory: 17007 grad_norm: 8.3990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9996 loss: 1.9996 2022/07/28 13:16:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:16:23 - mmengine - INFO - Epoch(train) [105][3280/3757] lr: 3.7904e-03 eta: 1 day, 7:07:57 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 8.1177 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8248 loss: 1.8248 2022/07/28 13:16:31 - mmengine - INFO - Epoch(train) [105][3300/3757] lr: 3.7904e-03 eta: 1 day, 7:07:49 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 8.0188 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8350 loss: 1.8350 2022/07/28 13:16:38 - mmengine - INFO - Epoch(train) [105][3320/3757] lr: 3.7904e-03 eta: 1 day, 7:07:41 time: 0.3955 data_time: 0.0160 memory: 17007 grad_norm: 7.8622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9365 loss: 1.9365 2022/07/28 13:16:46 - mmengine - INFO - Epoch(train) [105][3340/3757] lr: 3.7904e-03 eta: 1 day, 7:07:33 time: 0.3945 data_time: 0.0147 memory: 17007 grad_norm: 8.1410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2591 loss: 2.2591 2022/07/28 13:16:54 - mmengine - INFO - Epoch(train) [105][3360/3757] lr: 3.7904e-03 eta: 1 day, 7:07:25 time: 0.4015 data_time: 0.0153 memory: 17007 grad_norm: 7.7875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1718 loss: 2.1718 2022/07/28 13:17:02 - mmengine - INFO - Epoch(train) [105][3380/3757] lr: 3.7904e-03 eta: 1 day, 7:07:17 time: 0.3965 data_time: 0.0152 memory: 17007 grad_norm: 8.3830 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0724 loss: 2.0724 2022/07/28 13:17:10 - mmengine - INFO - Epoch(train) [105][3400/3757] lr: 3.7904e-03 eta: 1 day, 7:07:09 time: 0.3995 data_time: 0.0170 memory: 17007 grad_norm: 7.9873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7609 loss: 1.7609 2022/07/28 13:17:18 - mmengine - INFO - Epoch(train) [105][3420/3757] lr: 3.7904e-03 eta: 1 day, 7:07:01 time: 0.3944 data_time: 0.0149 memory: 17007 grad_norm: 7.8389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9644 loss: 1.9644 2022/07/28 13:17:26 - mmengine - INFO - Epoch(train) [105][3440/3757] lr: 3.7904e-03 eta: 1 day, 7:06:53 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 8.0834 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.6984 loss: 1.6984 2022/07/28 13:17:34 - mmengine - INFO - Epoch(train) [105][3460/3757] lr: 3.7904e-03 eta: 1 day, 7:06:45 time: 0.3956 data_time: 0.0141 memory: 17007 grad_norm: 8.3066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7883 loss: 1.7883 2022/07/28 13:17:42 - mmengine - INFO - Epoch(train) [105][3480/3757] lr: 3.7904e-03 eta: 1 day, 7:06:37 time: 0.3970 data_time: 0.0161 memory: 17007 grad_norm: 8.3517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6736 loss: 1.6736 2022/07/28 13:17:50 - mmengine - INFO - Epoch(train) [105][3500/3757] lr: 3.7904e-03 eta: 1 day, 7:06:29 time: 0.3969 data_time: 0.0152 memory: 17007 grad_norm: 7.9745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9115 loss: 1.9115 2022/07/28 13:17:58 - mmengine - INFO - Epoch(train) [105][3520/3757] lr: 3.7904e-03 eta: 1 day, 7:06:21 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 8.0499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6050 loss: 1.6050 2022/07/28 13:18:06 - mmengine - INFO - Epoch(train) [105][3540/3757] lr: 3.7904e-03 eta: 1 day, 7:06:13 time: 0.4035 data_time: 0.0143 memory: 17007 grad_norm: 8.3078 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8507 loss: 1.8507 2022/07/28 13:18:14 - mmengine - INFO - Epoch(train) [105][3560/3757] lr: 3.7904e-03 eta: 1 day, 7:06:05 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 8.8412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6796 loss: 1.6796 2022/07/28 13:18:22 - mmengine - INFO - Epoch(train) [105][3580/3757] lr: 3.7904e-03 eta: 1 day, 7:05:58 time: 0.3997 data_time: 0.0154 memory: 17007 grad_norm: 8.3174 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7744 loss: 1.7744 2022/07/28 13:18:30 - mmengine - INFO - Epoch(train) [105][3600/3757] lr: 3.7904e-03 eta: 1 day, 7:05:50 time: 0.3960 data_time: 0.0160 memory: 17007 grad_norm: 7.8538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5021 loss: 1.5021 2022/07/28 13:18:38 - mmengine - INFO - Epoch(train) [105][3620/3757] lr: 3.7904e-03 eta: 1 day, 7:05:42 time: 0.3930 data_time: 0.0137 memory: 17007 grad_norm: 8.2089 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7520 loss: 1.7520 2022/07/28 13:18:46 - mmengine - INFO - Epoch(train) [105][3640/3757] lr: 3.7904e-03 eta: 1 day, 7:05:34 time: 0.3972 data_time: 0.0154 memory: 17007 grad_norm: 7.9436 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7558 loss: 1.7558 2022/07/28 13:18:54 - mmengine - INFO - Epoch(train) [105][3660/3757] lr: 3.7904e-03 eta: 1 day, 7:05:26 time: 0.3947 data_time: 0.0139 memory: 17007 grad_norm: 8.5096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1856 loss: 2.1856 2022/07/28 13:19:01 - mmengine - INFO - Epoch(train) [105][3680/3757] lr: 3.7904e-03 eta: 1 day, 7:05:18 time: 0.3929 data_time: 0.0143 memory: 17007 grad_norm: 8.3084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0458 loss: 2.0458 2022/07/28 13:19:09 - mmengine - INFO - Epoch(train) [105][3700/3757] lr: 3.7904e-03 eta: 1 day, 7:05:10 time: 0.3930 data_time: 0.0144 memory: 17007 grad_norm: 8.3663 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0157 loss: 2.0157 2022/07/28 13:19:17 - mmengine - INFO - Epoch(train) [105][3720/3757] lr: 3.7904e-03 eta: 1 day, 7:05:02 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 8.0964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9786 loss: 1.9786 2022/07/28 13:19:25 - mmengine - INFO - Epoch(train) [105][3740/3757] lr: 3.7904e-03 eta: 1 day, 7:04:54 time: 0.3927 data_time: 0.0143 memory: 17007 grad_norm: 7.7698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8514 loss: 1.8514 2022/07/28 13:19:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:19:32 - mmengine - INFO - Epoch(train) [105][3757/3757] lr: 3.7904e-03 eta: 1 day, 7:04:54 time: 0.4130 data_time: 0.0170 memory: 17007 grad_norm: 8.0018 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8146 loss: 1.8146 2022/07/28 13:19:32 - mmengine - INFO - Saving checkpoint at 105 epochs 2022/07/28 13:19:43 - mmengine - INFO - Epoch(train) [106][20/3757] lr: 3.7059e-03 eta: 1 day, 7:04:35 time: 0.4463 data_time: 0.0685 memory: 17007 grad_norm: 8.1859 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8109 loss: 1.8109 2022/07/28 13:19:51 - mmengine - INFO - Epoch(train) [106][40/3757] lr: 3.7059e-03 eta: 1 day, 7:04:27 time: 0.3953 data_time: 0.0163 memory: 17007 grad_norm: 8.0888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7814 loss: 1.7814 2022/07/28 13:20:00 - mmengine - INFO - Epoch(train) [106][60/3757] lr: 3.7059e-03 eta: 1 day, 7:04:19 time: 0.4140 data_time: 0.0136 memory: 17007 grad_norm: 8.3833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7251 loss: 1.7251 2022/07/28 13:20:07 - mmengine - INFO - Epoch(train) [106][80/3757] lr: 3.7059e-03 eta: 1 day, 7:04:11 time: 0.3939 data_time: 0.0147 memory: 17007 grad_norm: 8.3306 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8921 loss: 1.8921 2022/07/28 13:20:15 - mmengine - INFO - Epoch(train) [106][100/3757] lr: 3.7059e-03 eta: 1 day, 7:04:03 time: 0.3951 data_time: 0.0152 memory: 17007 grad_norm: 8.2330 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7869 loss: 1.7869 2022/07/28 13:20:23 - mmengine - INFO - Epoch(train) [106][120/3757] lr: 3.7059e-03 eta: 1 day, 7:03:55 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 7.7731 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4934 loss: 1.4934 2022/07/28 13:20:31 - mmengine - INFO - Epoch(train) [106][140/3757] lr: 3.7059e-03 eta: 1 day, 7:03:47 time: 0.3991 data_time: 0.0147 memory: 17007 grad_norm: 7.5068 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6730 loss: 1.6730 2022/07/28 13:20:39 - mmengine - INFO - Epoch(train) [106][160/3757] lr: 3.7059e-03 eta: 1 day, 7:03:39 time: 0.3967 data_time: 0.0160 memory: 17007 grad_norm: 8.3990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6233 loss: 1.6233 2022/07/28 13:20:47 - mmengine - INFO - Epoch(train) [106][180/3757] lr: 3.7059e-03 eta: 1 day, 7:03:31 time: 0.3946 data_time: 0.0141 memory: 17007 grad_norm: 7.9946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8706 loss: 1.8706 2022/07/28 13:20:55 - mmengine - INFO - Epoch(train) [106][200/3757] lr: 3.7059e-03 eta: 1 day, 7:03:23 time: 0.3952 data_time: 0.0147 memory: 17007 grad_norm: 8.1280 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7308 loss: 1.7308 2022/07/28 13:21:03 - mmengine - INFO - Epoch(train) [106][220/3757] lr: 3.7059e-03 eta: 1 day, 7:03:16 time: 0.4077 data_time: 0.0144 memory: 17007 grad_norm: 8.1228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7027 loss: 1.7027 2022/07/28 13:21:11 - mmengine - INFO - Epoch(train) [106][240/3757] lr: 3.7059e-03 eta: 1 day, 7:03:08 time: 0.3971 data_time: 0.0154 memory: 17007 grad_norm: 8.0656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7164 loss: 1.7164 2022/07/28 13:21:19 - mmengine - INFO - Epoch(train) [106][260/3757] lr: 3.7059e-03 eta: 1 day, 7:03:00 time: 0.3950 data_time: 0.0151 memory: 17007 grad_norm: 7.9908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8857 loss: 1.8857 2022/07/28 13:21:27 - mmengine - INFO - Epoch(train) [106][280/3757] lr: 3.7059e-03 eta: 1 day, 7:02:52 time: 0.3939 data_time: 0.0151 memory: 17007 grad_norm: 8.0595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6053 loss: 1.6053 2022/07/28 13:21:35 - mmengine - INFO - Epoch(train) [106][300/3757] lr: 3.7059e-03 eta: 1 day, 7:02:44 time: 0.3967 data_time: 0.0159 memory: 17007 grad_norm: 8.1691 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9656 loss: 1.9656 2022/07/28 13:21:43 - mmengine - INFO - Epoch(train) [106][320/3757] lr: 3.7059e-03 eta: 1 day, 7:02:36 time: 0.3955 data_time: 0.0151 memory: 17007 grad_norm: 8.1218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8516 loss: 1.8516 2022/07/28 13:21:51 - mmengine - INFO - Epoch(train) [106][340/3757] lr: 3.7059e-03 eta: 1 day, 7:02:28 time: 0.3953 data_time: 0.0156 memory: 17007 grad_norm: 7.7932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8029 loss: 1.8029 2022/07/28 13:21:59 - mmengine - INFO - Epoch(train) [106][360/3757] lr: 3.7059e-03 eta: 1 day, 7:02:20 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 8.1543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7710 loss: 1.7710 2022/07/28 13:22:07 - mmengine - INFO - Epoch(train) [106][380/3757] lr: 3.7059e-03 eta: 1 day, 7:02:12 time: 0.3976 data_time: 0.0158 memory: 17007 grad_norm: 7.8180 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6205 loss: 1.6205 2022/07/28 13:22:15 - mmengine - INFO - Epoch(train) [106][400/3757] lr: 3.7059e-03 eta: 1 day, 7:02:04 time: 0.3962 data_time: 0.0152 memory: 17007 grad_norm: 7.4236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5670 loss: 1.5670 2022/07/28 13:22:22 - mmengine - INFO - Epoch(train) [106][420/3757] lr: 3.7059e-03 eta: 1 day, 7:01:56 time: 0.3927 data_time: 0.0143 memory: 17007 grad_norm: 8.0886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7692 loss: 1.7692 2022/07/28 13:22:30 - mmengine - INFO - Epoch(train) [106][440/3757] lr: 3.7059e-03 eta: 1 day, 7:01:48 time: 0.3963 data_time: 0.0154 memory: 17007 grad_norm: 7.8922 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0462 loss: 2.0462 2022/07/28 13:22:38 - mmengine - INFO - Epoch(train) [106][460/3757] lr: 3.7059e-03 eta: 1 day, 7:01:40 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 8.1950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5914 loss: 1.5914 2022/07/28 13:22:46 - mmengine - INFO - Epoch(train) [106][480/3757] lr: 3.7059e-03 eta: 1 day, 7:01:32 time: 0.3945 data_time: 0.0150 memory: 17007 grad_norm: 8.0933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5050 loss: 1.5050 2022/07/28 13:22:54 - mmengine - INFO - Epoch(train) [106][500/3757] lr: 3.7059e-03 eta: 1 day, 7:01:24 time: 0.3955 data_time: 0.0157 memory: 17007 grad_norm: 8.1219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2121 loss: 2.2121 2022/07/28 13:23:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:23:02 - mmengine - INFO - Epoch(train) [106][520/3757] lr: 3.7059e-03 eta: 1 day, 7:01:16 time: 0.4066 data_time: 0.0166 memory: 17007 grad_norm: 7.8844 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7960 loss: 1.7960 2022/07/28 13:23:10 - mmengine - INFO - Epoch(train) [106][540/3757] lr: 3.7059e-03 eta: 1 day, 7:01:08 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 7.7618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8644 loss: 1.8644 2022/07/28 13:23:18 - mmengine - INFO - Epoch(train) [106][560/3757] lr: 3.7059e-03 eta: 1 day, 7:01:00 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 8.2793 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8360 loss: 1.8360 2022/07/28 13:23:26 - mmengine - INFO - Epoch(train) [106][580/3757] lr: 3.7059e-03 eta: 1 day, 7:00:52 time: 0.3948 data_time: 0.0153 memory: 17007 grad_norm: 8.1878 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8301 loss: 1.8301 2022/07/28 13:23:34 - mmengine - INFO - Epoch(train) [106][600/3757] lr: 3.7059e-03 eta: 1 day, 7:00:44 time: 0.3978 data_time: 0.0157 memory: 17007 grad_norm: 7.8755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7247 loss: 1.7247 2022/07/28 13:23:42 - mmengine - INFO - Epoch(train) [106][620/3757] lr: 3.7059e-03 eta: 1 day, 7:00:37 time: 0.4006 data_time: 0.0151 memory: 17007 grad_norm: 8.1617 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8168 loss: 1.8168 2022/07/28 13:23:50 - mmengine - INFO - Epoch(train) [106][640/3757] lr: 3.7059e-03 eta: 1 day, 7:00:29 time: 0.4005 data_time: 0.0172 memory: 17007 grad_norm: 8.1109 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0227 loss: 2.0227 2022/07/28 13:23:58 - mmengine - INFO - Epoch(train) [106][660/3757] lr: 3.7059e-03 eta: 1 day, 7:00:21 time: 0.3948 data_time: 0.0150 memory: 17007 grad_norm: 7.8188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8272 loss: 1.8272 2022/07/28 13:24:06 - mmengine - INFO - Epoch(train) [106][680/3757] lr: 3.7059e-03 eta: 1 day, 7:00:13 time: 0.4137 data_time: 0.0155 memory: 17007 grad_norm: 7.9936 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4316 loss: 1.4316 2022/07/28 13:24:14 - mmengine - INFO - Epoch(train) [106][700/3757] lr: 3.7059e-03 eta: 1 day, 7:00:05 time: 0.3954 data_time: 0.0149 memory: 17007 grad_norm: 8.0679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4021 loss: 1.4021 2022/07/28 13:24:22 - mmengine - INFO - Epoch(train) [106][720/3757] lr: 3.7059e-03 eta: 1 day, 6:59:57 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 8.1276 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9286 loss: 1.9286 2022/07/28 13:24:30 - mmengine - INFO - Epoch(train) [106][740/3757] lr: 3.7059e-03 eta: 1 day, 6:59:49 time: 0.4052 data_time: 0.0162 memory: 17007 grad_norm: 7.9453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7014 loss: 1.7014 2022/07/28 13:24:38 - mmengine - INFO - Epoch(train) [106][760/3757] lr: 3.7059e-03 eta: 1 day, 6:59:41 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 7.9807 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5464 loss: 1.5464 2022/07/28 13:24:46 - mmengine - INFO - Epoch(train) [106][780/3757] lr: 3.7059e-03 eta: 1 day, 6:59:33 time: 0.3936 data_time: 0.0149 memory: 17007 grad_norm: 8.2077 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7958 loss: 1.7958 2022/07/28 13:24:54 - mmengine - INFO - Epoch(train) [106][800/3757] lr: 3.7059e-03 eta: 1 day, 6:59:25 time: 0.3944 data_time: 0.0157 memory: 17007 grad_norm: 8.1633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4755 loss: 1.4755 2022/07/28 13:25:02 - mmengine - INFO - Epoch(train) [106][820/3757] lr: 3.7059e-03 eta: 1 day, 6:59:17 time: 0.3962 data_time: 0.0156 memory: 17007 grad_norm: 8.3275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9666 loss: 1.9666 2022/07/28 13:25:10 - mmengine - INFO - Epoch(train) [106][840/3757] lr: 3.7059e-03 eta: 1 day, 6:59:09 time: 0.3966 data_time: 0.0155 memory: 17007 grad_norm: 8.0714 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7922 loss: 1.7922 2022/07/28 13:25:18 - mmengine - INFO - Epoch(train) [106][860/3757] lr: 3.7059e-03 eta: 1 day, 6:59:01 time: 0.3939 data_time: 0.0154 memory: 17007 grad_norm: 8.6358 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1288 loss: 2.1288 2022/07/28 13:25:26 - mmengine - INFO - Epoch(train) [106][880/3757] lr: 3.7059e-03 eta: 1 day, 6:58:53 time: 0.3954 data_time: 0.0151 memory: 17007 grad_norm: 7.7786 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9769 loss: 1.9769 2022/07/28 13:25:34 - mmengine - INFO - Epoch(train) [106][900/3757] lr: 3.7059e-03 eta: 1 day, 6:58:46 time: 0.3985 data_time: 0.0155 memory: 17007 grad_norm: 8.1322 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5874 loss: 1.5874 2022/07/28 13:25:41 - mmengine - INFO - Epoch(train) [106][920/3757] lr: 3.7059e-03 eta: 1 day, 6:58:38 time: 0.3965 data_time: 0.0162 memory: 17007 grad_norm: 8.1415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7824 loss: 1.7824 2022/07/28 13:25:49 - mmengine - INFO - Epoch(train) [106][940/3757] lr: 3.7059e-03 eta: 1 day, 6:58:30 time: 0.3930 data_time: 0.0142 memory: 17007 grad_norm: 8.1145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7813 loss: 1.7813 2022/07/28 13:25:57 - mmengine - INFO - Epoch(train) [106][960/3757] lr: 3.7059e-03 eta: 1 day, 6:58:22 time: 0.3981 data_time: 0.0182 memory: 17007 grad_norm: 8.1458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6730 loss: 1.6730 2022/07/28 13:26:05 - mmengine - INFO - Epoch(train) [106][980/3757] lr: 3.7059e-03 eta: 1 day, 6:58:14 time: 0.4031 data_time: 0.0158 memory: 17007 grad_norm: 8.2103 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7807 loss: 1.7807 2022/07/28 13:26:14 - mmengine - INFO - Epoch(train) [106][1000/3757] lr: 3.7059e-03 eta: 1 day, 6:58:06 time: 0.4067 data_time: 0.0159 memory: 17007 grad_norm: 8.3637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9993 loss: 1.9993 2022/07/28 13:26:21 - mmengine - INFO - Epoch(train) [106][1020/3757] lr: 3.7059e-03 eta: 1 day, 6:57:58 time: 0.3963 data_time: 0.0153 memory: 17007 grad_norm: 8.0908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6851 loss: 1.6851 2022/07/28 13:26:29 - mmengine - INFO - Epoch(train) [106][1040/3757] lr: 3.7059e-03 eta: 1 day, 6:57:50 time: 0.3950 data_time: 0.0150 memory: 17007 grad_norm: 8.3404 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0435 loss: 2.0435 2022/07/28 13:26:37 - mmengine - INFO - Epoch(train) [106][1060/3757] lr: 3.7059e-03 eta: 1 day, 6:57:42 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 7.8886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6470 loss: 1.6470 2022/07/28 13:26:45 - mmengine - INFO - Epoch(train) [106][1080/3757] lr: 3.7059e-03 eta: 1 day, 6:57:34 time: 0.3948 data_time: 0.0160 memory: 17007 grad_norm: 7.9315 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8487 loss: 1.8487 2022/07/28 13:26:53 - mmengine - INFO - Epoch(train) [106][1100/3757] lr: 3.7059e-03 eta: 1 day, 6:57:26 time: 0.3959 data_time: 0.0160 memory: 17007 grad_norm: 7.6794 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8147 loss: 1.8147 2022/07/28 13:27:01 - mmengine - INFO - Epoch(train) [106][1120/3757] lr: 3.7059e-03 eta: 1 day, 6:57:18 time: 0.3964 data_time: 0.0166 memory: 17007 grad_norm: 8.1125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8337 loss: 1.8337 2022/07/28 13:27:09 - mmengine - INFO - Epoch(train) [106][1140/3757] lr: 3.7059e-03 eta: 1 day, 6:57:10 time: 0.3925 data_time: 0.0143 memory: 17007 grad_norm: 8.0493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1281 loss: 2.1281 2022/07/28 13:27:17 - mmengine - INFO - Epoch(train) [106][1160/3757] lr: 3.7059e-03 eta: 1 day, 6:57:02 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 8.1192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9899 loss: 1.9899 2022/07/28 13:27:25 - mmengine - INFO - Epoch(train) [106][1180/3757] lr: 3.7059e-03 eta: 1 day, 6:56:54 time: 0.3952 data_time: 0.0140 memory: 17007 grad_norm: 7.8847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9650 loss: 1.9650 2022/07/28 13:27:33 - mmengine - INFO - Epoch(train) [106][1200/3757] lr: 3.7059e-03 eta: 1 day, 6:56:46 time: 0.3960 data_time: 0.0144 memory: 17007 grad_norm: 7.7196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5044 loss: 1.5044 2022/07/28 13:27:41 - mmengine - INFO - Epoch(train) [106][1220/3757] lr: 3.7059e-03 eta: 1 day, 6:56:38 time: 0.3995 data_time: 0.0157 memory: 17007 grad_norm: 7.9663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8040 loss: 1.8040 2022/07/28 13:27:49 - mmengine - INFO - Epoch(train) [106][1240/3757] lr: 3.7059e-03 eta: 1 day, 6:56:30 time: 0.3955 data_time: 0.0164 memory: 17007 grad_norm: 8.0635 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6118 loss: 1.6118 2022/07/28 13:27:57 - mmengine - INFO - Epoch(train) [106][1260/3757] lr: 3.7059e-03 eta: 1 day, 6:56:23 time: 0.3963 data_time: 0.0148 memory: 17007 grad_norm: 8.4471 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7734 loss: 1.7734 2022/07/28 13:28:05 - mmengine - INFO - Epoch(train) [106][1280/3757] lr: 3.7059e-03 eta: 1 day, 6:56:15 time: 0.4197 data_time: 0.0172 memory: 17007 grad_norm: 8.0304 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6248 loss: 1.6248 2022/07/28 13:28:13 - mmengine - INFO - Epoch(train) [106][1300/3757] lr: 3.7059e-03 eta: 1 day, 6:56:07 time: 0.3923 data_time: 0.0144 memory: 17007 grad_norm: 7.7746 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4443 loss: 1.4443 2022/07/28 13:28:21 - mmengine - INFO - Epoch(train) [106][1320/3757] lr: 3.7059e-03 eta: 1 day, 6:55:59 time: 0.3977 data_time: 0.0168 memory: 17007 grad_norm: 8.0340 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0005 loss: 2.0005 2022/07/28 13:28:29 - mmengine - INFO - Epoch(train) [106][1340/3757] lr: 3.7059e-03 eta: 1 day, 6:55:51 time: 0.3923 data_time: 0.0136 memory: 17007 grad_norm: 8.2671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1263 loss: 2.1263 2022/07/28 13:28:37 - mmengine - INFO - Epoch(train) [106][1360/3757] lr: 3.7059e-03 eta: 1 day, 6:55:43 time: 0.4062 data_time: 0.0174 memory: 17007 grad_norm: 8.4047 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6971 loss: 1.6971 2022/07/28 13:28:45 - mmengine - INFO - Epoch(train) [106][1380/3757] lr: 3.7059e-03 eta: 1 day, 6:55:35 time: 0.3953 data_time: 0.0146 memory: 17007 grad_norm: 8.0537 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9197 loss: 1.9197 2022/07/28 13:28:53 - mmengine - INFO - Epoch(train) [106][1400/3757] lr: 3.7059e-03 eta: 1 day, 6:55:27 time: 0.4008 data_time: 0.0151 memory: 17007 grad_norm: 8.3450 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9409 loss: 1.9409 2022/07/28 13:29:01 - mmengine - INFO - Epoch(train) [106][1420/3757] lr: 3.7059e-03 eta: 1 day, 6:55:19 time: 0.3956 data_time: 0.0158 memory: 17007 grad_norm: 8.1745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7290 loss: 1.7290 2022/07/28 13:29:09 - mmengine - INFO - Epoch(train) [106][1440/3757] lr: 3.7059e-03 eta: 1 day, 6:55:11 time: 0.3962 data_time: 0.0158 memory: 17007 grad_norm: 7.9811 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4953 loss: 1.4953 2022/07/28 13:29:17 - mmengine - INFO - Epoch(train) [106][1460/3757] lr: 3.7059e-03 eta: 1 day, 6:55:03 time: 0.3970 data_time: 0.0154 memory: 17007 grad_norm: 8.2133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1212 loss: 2.1212 2022/07/28 13:29:25 - mmengine - INFO - Epoch(train) [106][1480/3757] lr: 3.7059e-03 eta: 1 day, 6:54:56 time: 0.4000 data_time: 0.0164 memory: 17007 grad_norm: 8.3274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6076 loss: 1.6076 2022/07/28 13:29:33 - mmengine - INFO - Epoch(train) [106][1500/3757] lr: 3.7059e-03 eta: 1 day, 6:54:48 time: 0.3958 data_time: 0.0150 memory: 17007 grad_norm: 8.0898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8302 loss: 1.8302 2022/07/28 13:29:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:29:41 - mmengine - INFO - Epoch(train) [106][1520/3757] lr: 3.7059e-03 eta: 1 day, 6:54:40 time: 0.4058 data_time: 0.0152 memory: 17007 grad_norm: 8.3306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5778 loss: 1.5778 2022/07/28 13:29:49 - mmengine - INFO - Epoch(train) [106][1540/3757] lr: 3.7059e-03 eta: 1 day, 6:54:32 time: 0.3946 data_time: 0.0142 memory: 17007 grad_norm: 8.2056 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7025 loss: 1.7025 2022/07/28 13:29:57 - mmengine - INFO - Epoch(train) [106][1560/3757] lr: 3.7059e-03 eta: 1 day, 6:54:24 time: 0.3973 data_time: 0.0163 memory: 17007 grad_norm: 8.0191 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7247 loss: 1.7247 2022/07/28 13:30:04 - mmengine - INFO - Epoch(train) [106][1580/3757] lr: 3.7059e-03 eta: 1 day, 6:54:16 time: 0.3956 data_time: 0.0153 memory: 17007 grad_norm: 8.0146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8823 loss: 1.8823 2022/07/28 13:30:12 - mmengine - INFO - Epoch(train) [106][1600/3757] lr: 3.7059e-03 eta: 1 day, 6:54:08 time: 0.3963 data_time: 0.0164 memory: 17007 grad_norm: 8.3248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6434 loss: 1.6434 2022/07/28 13:30:20 - mmengine - INFO - Epoch(train) [106][1620/3757] lr: 3.7059e-03 eta: 1 day, 6:54:00 time: 0.3960 data_time: 0.0150 memory: 17007 grad_norm: 7.9990 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9672 loss: 1.9672 2022/07/28 13:30:28 - mmengine - INFO - Epoch(train) [106][1640/3757] lr: 3.7059e-03 eta: 1 day, 6:53:52 time: 0.3945 data_time: 0.0144 memory: 17007 grad_norm: 8.2223 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9727 loss: 1.9727 2022/07/28 13:30:36 - mmengine - INFO - Epoch(train) [106][1660/3757] lr: 3.7059e-03 eta: 1 day, 6:53:44 time: 0.3980 data_time: 0.0168 memory: 17007 grad_norm: 8.0322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9417 loss: 1.9417 2022/07/28 13:30:44 - mmengine - INFO - Epoch(train) [106][1680/3757] lr: 3.7059e-03 eta: 1 day, 6:53:36 time: 0.3964 data_time: 0.0159 memory: 17007 grad_norm: 8.1569 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9530 loss: 1.9530 2022/07/28 13:30:53 - mmengine - INFO - Epoch(train) [106][1700/3757] lr: 3.7059e-03 eta: 1 day, 6:53:28 time: 0.4192 data_time: 0.0154 memory: 17007 grad_norm: 8.5461 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5712 loss: 1.5712 2022/07/28 13:31:00 - mmengine - INFO - Epoch(train) [106][1720/3757] lr: 3.7059e-03 eta: 1 day, 6:53:21 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 8.0573 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5068 loss: 1.5068 2022/07/28 13:31:08 - mmengine - INFO - Epoch(train) [106][1740/3757] lr: 3.7059e-03 eta: 1 day, 6:53:13 time: 0.3950 data_time: 0.0147 memory: 17007 grad_norm: 8.2270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6366 loss: 1.6366 2022/07/28 13:31:17 - mmengine - INFO - Epoch(train) [106][1760/3757] lr: 3.7059e-03 eta: 1 day, 6:53:05 time: 0.4155 data_time: 0.0171 memory: 17007 grad_norm: 8.4674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7661 loss: 1.7661 2022/07/28 13:31:25 - mmengine - INFO - Epoch(train) [106][1780/3757] lr: 3.7059e-03 eta: 1 day, 6:52:57 time: 0.3955 data_time: 0.0146 memory: 17007 grad_norm: 8.2455 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7005 loss: 1.7005 2022/07/28 13:31:33 - mmengine - INFO - Epoch(train) [106][1800/3757] lr: 3.7059e-03 eta: 1 day, 6:52:49 time: 0.3975 data_time: 0.0167 memory: 17007 grad_norm: 7.8670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9442 loss: 1.9442 2022/07/28 13:31:40 - mmengine - INFO - Epoch(train) [106][1820/3757] lr: 3.7059e-03 eta: 1 day, 6:52:41 time: 0.3956 data_time: 0.0144 memory: 17007 grad_norm: 7.9930 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6923 loss: 1.6923 2022/07/28 13:31:48 - mmengine - INFO - Epoch(train) [106][1840/3757] lr: 3.7059e-03 eta: 1 day, 6:52:33 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 7.7951 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8130 loss: 1.8130 2022/07/28 13:31:56 - mmengine - INFO - Epoch(train) [106][1860/3757] lr: 3.7059e-03 eta: 1 day, 6:52:25 time: 0.3992 data_time: 0.0156 memory: 17007 grad_norm: 8.0977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9531 loss: 1.9531 2022/07/28 13:32:04 - mmengine - INFO - Epoch(train) [106][1880/3757] lr: 3.7059e-03 eta: 1 day, 6:52:17 time: 0.3945 data_time: 0.0148 memory: 17007 grad_norm: 8.1162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9862 loss: 1.9862 2022/07/28 13:32:12 - mmengine - INFO - Epoch(train) [106][1900/3757] lr: 3.7059e-03 eta: 1 day, 6:52:09 time: 0.3941 data_time: 0.0150 memory: 17007 grad_norm: 7.8376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9387 loss: 1.9387 2022/07/28 13:32:20 - mmengine - INFO - Epoch(train) [106][1920/3757] lr: 3.7059e-03 eta: 1 day, 6:52:01 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 8.2799 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6954 loss: 1.6954 2022/07/28 13:32:28 - mmengine - INFO - Epoch(train) [106][1940/3757] lr: 3.7059e-03 eta: 1 day, 6:51:53 time: 0.3941 data_time: 0.0145 memory: 17007 grad_norm: 8.2586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8853 loss: 1.8853 2022/07/28 13:32:36 - mmengine - INFO - Epoch(train) [106][1960/3757] lr: 3.7059e-03 eta: 1 day, 6:51:45 time: 0.3982 data_time: 0.0164 memory: 17007 grad_norm: 8.1000 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7282 loss: 1.7282 2022/07/28 13:32:44 - mmengine - INFO - Epoch(train) [106][1980/3757] lr: 3.7059e-03 eta: 1 day, 6:51:37 time: 0.3948 data_time: 0.0146 memory: 17007 grad_norm: 7.9390 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4308 loss: 1.4308 2022/07/28 13:32:52 - mmengine - INFO - Epoch(train) [106][2000/3757] lr: 3.7059e-03 eta: 1 day, 6:51:29 time: 0.3980 data_time: 0.0166 memory: 17007 grad_norm: 8.0626 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5376 loss: 1.5376 2022/07/28 13:33:00 - mmengine - INFO - Epoch(train) [106][2020/3757] lr: 3.7059e-03 eta: 1 day, 6:51:21 time: 0.3924 data_time: 0.0140 memory: 17007 grad_norm: 8.1454 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0304 loss: 2.0304 2022/07/28 13:33:14 - mmengine - INFO - Epoch(train) [106][2040/3757] lr: 3.7059e-03 eta: 1 day, 6:51:18 time: 0.7215 data_time: 0.0158 memory: 17007 grad_norm: 8.0699 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8426 loss: 1.8426 2022/07/28 13:33:26 - mmengine - INFO - Epoch(train) [106][2060/3757] lr: 3.7059e-03 eta: 1 day, 6:51:13 time: 0.5912 data_time: 0.0163 memory: 17007 grad_norm: 7.9150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7139 loss: 1.7139 2022/07/28 13:33:44 - mmengine - INFO - Epoch(train) [106][2080/3757] lr: 3.7059e-03 eta: 1 day, 6:51:12 time: 0.9066 data_time: 0.0168 memory: 17007 grad_norm: 8.1041 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7979 loss: 1.7979 2022/07/28 13:33:54 - mmengine - INFO - Epoch(train) [106][2100/3757] lr: 3.7059e-03 eta: 1 day, 6:51:06 time: 0.5016 data_time: 0.0225 memory: 17007 grad_norm: 8.2302 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1437 loss: 2.1437 2022/07/28 13:34:02 - mmengine - INFO - Epoch(train) [106][2120/3757] lr: 3.7059e-03 eta: 1 day, 6:50:58 time: 0.3997 data_time: 0.0158 memory: 17007 grad_norm: 8.1060 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7030 loss: 1.7030 2022/07/28 13:34:10 - mmengine - INFO - Epoch(train) [106][2140/3757] lr: 3.7059e-03 eta: 1 day, 6:50:50 time: 0.4075 data_time: 0.0151 memory: 17007 grad_norm: 8.0975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5213 loss: 1.5213 2022/07/28 13:34:19 - mmengine - INFO - Epoch(train) [106][2160/3757] lr: 3.7059e-03 eta: 1 day, 6:50:42 time: 0.4293 data_time: 0.0154 memory: 17007 grad_norm: 8.1724 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8329 loss: 1.8329 2022/07/28 13:34:28 - mmengine - INFO - Epoch(train) [106][2180/3757] lr: 3.7059e-03 eta: 1 day, 6:50:35 time: 0.4341 data_time: 0.0164 memory: 17007 grad_norm: 8.2841 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.8244 loss: 1.8244 2022/07/28 13:34:36 - mmengine - INFO - Epoch(train) [106][2200/3757] lr: 3.7059e-03 eta: 1 day, 6:50:28 time: 0.4387 data_time: 0.0130 memory: 17007 grad_norm: 8.2629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4259 loss: 1.4259 2022/07/28 13:34:44 - mmengine - INFO - Epoch(train) [106][2220/3757] lr: 3.7059e-03 eta: 1 day, 6:50:20 time: 0.3983 data_time: 0.0163 memory: 17007 grad_norm: 7.7514 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8728 loss: 1.8728 2022/07/28 13:34:52 - mmengine - INFO - Epoch(train) [106][2240/3757] lr: 3.7059e-03 eta: 1 day, 6:50:12 time: 0.4017 data_time: 0.0126 memory: 17007 grad_norm: 8.2752 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7810 loss: 1.7810 2022/07/28 13:35:00 - mmengine - INFO - Epoch(train) [106][2260/3757] lr: 3.7059e-03 eta: 1 day, 6:50:04 time: 0.3954 data_time: 0.0152 memory: 17007 grad_norm: 8.4283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6872 loss: 1.6872 2022/07/28 13:35:08 - mmengine - INFO - Epoch(train) [106][2280/3757] lr: 3.7059e-03 eta: 1 day, 6:49:56 time: 0.3969 data_time: 0.0123 memory: 17007 grad_norm: 7.9817 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8488 loss: 1.8488 2022/07/28 13:35:16 - mmengine - INFO - Epoch(train) [106][2300/3757] lr: 3.7059e-03 eta: 1 day, 6:49:48 time: 0.4078 data_time: 0.0147 memory: 17007 grad_norm: 8.0732 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8897 loss: 1.8897 2022/07/28 13:35:24 - mmengine - INFO - Epoch(train) [106][2320/3757] lr: 3.7059e-03 eta: 1 day, 6:49:40 time: 0.3956 data_time: 0.0153 memory: 17007 grad_norm: 8.0859 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8733 loss: 1.8733 2022/07/28 13:35:32 - mmengine - INFO - Epoch(train) [106][2340/3757] lr: 3.7059e-03 eta: 1 day, 6:49:32 time: 0.3989 data_time: 0.0161 memory: 17007 grad_norm: 8.3843 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9645 loss: 1.9645 2022/07/28 13:35:40 - mmengine - INFO - Epoch(train) [106][2360/3757] lr: 3.7059e-03 eta: 1 day, 6:49:24 time: 0.3925 data_time: 0.0125 memory: 17007 grad_norm: 8.3378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9203 loss: 1.9203 2022/07/28 13:35:48 - mmengine - INFO - Epoch(train) [106][2380/3757] lr: 3.7059e-03 eta: 1 day, 6:49:16 time: 0.4006 data_time: 0.0171 memory: 17007 grad_norm: 8.4909 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7887 loss: 1.7887 2022/07/28 13:35:56 - mmengine - INFO - Epoch(train) [106][2400/3757] lr: 3.7059e-03 eta: 1 day, 6:49:08 time: 0.3954 data_time: 0.0123 memory: 17007 grad_norm: 8.2815 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9933 loss: 1.9933 2022/07/28 13:36:05 - mmengine - INFO - Epoch(train) [106][2420/3757] lr: 3.7059e-03 eta: 1 day, 6:49:01 time: 0.4233 data_time: 0.0324 memory: 17007 grad_norm: 7.7474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9587 loss: 1.9587 2022/07/28 13:36:13 - mmengine - INFO - Epoch(train) [106][2440/3757] lr: 3.7059e-03 eta: 1 day, 6:48:53 time: 0.3942 data_time: 0.0130 memory: 17007 grad_norm: 7.9446 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6235 loss: 1.6235 2022/07/28 13:36:21 - mmengine - INFO - Epoch(train) [106][2460/3757] lr: 3.7059e-03 eta: 1 day, 6:48:45 time: 0.3973 data_time: 0.0157 memory: 17007 grad_norm: 7.8685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6158 loss: 1.6158 2022/07/28 13:36:29 - mmengine - INFO - Epoch(train) [106][2480/3757] lr: 3.7059e-03 eta: 1 day, 6:48:37 time: 0.4058 data_time: 0.0129 memory: 17007 grad_norm: 8.1142 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7173 loss: 1.7173 2022/07/28 13:36:37 - mmengine - INFO - Epoch(train) [106][2500/3757] lr: 3.7059e-03 eta: 1 day, 6:48:29 time: 0.3978 data_time: 0.0192 memory: 17007 grad_norm: 8.3839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6746 loss: 1.6746 2022/07/28 13:36:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:36:45 - mmengine - INFO - Epoch(train) [106][2520/3757] lr: 3.7059e-03 eta: 1 day, 6:48:21 time: 0.3964 data_time: 0.0128 memory: 17007 grad_norm: 8.3831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7653 loss: 1.7653 2022/07/28 13:36:53 - mmengine - INFO - Epoch(train) [106][2540/3757] lr: 3.7059e-03 eta: 1 day, 6:48:13 time: 0.3954 data_time: 0.0157 memory: 17007 grad_norm: 8.2386 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1660 loss: 2.1660 2022/07/28 13:37:00 - mmengine - INFO - Epoch(train) [106][2560/3757] lr: 3.7059e-03 eta: 1 day, 6:48:05 time: 0.3936 data_time: 0.0133 memory: 17007 grad_norm: 8.2383 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7479 loss: 1.7479 2022/07/28 13:37:08 - mmengine - INFO - Epoch(train) [106][2580/3757] lr: 3.7059e-03 eta: 1 day, 6:47:57 time: 0.3989 data_time: 0.0166 memory: 17007 grad_norm: 8.0473 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8382 loss: 1.8382 2022/07/28 13:37:16 - mmengine - INFO - Epoch(train) [106][2600/3757] lr: 3.7059e-03 eta: 1 day, 6:47:49 time: 0.3947 data_time: 0.0129 memory: 17007 grad_norm: 7.9626 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7430 loss: 1.7430 2022/07/28 13:37:24 - mmengine - INFO - Epoch(train) [106][2620/3757] lr: 3.7059e-03 eta: 1 day, 6:47:41 time: 0.4034 data_time: 0.0172 memory: 17007 grad_norm: 7.9109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6491 loss: 1.6491 2022/07/28 13:37:32 - mmengine - INFO - Epoch(train) [106][2640/3757] lr: 3.7059e-03 eta: 1 day, 6:47:33 time: 0.3931 data_time: 0.0128 memory: 17007 grad_norm: 8.0674 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9027 loss: 1.9027 2022/07/28 13:37:40 - mmengine - INFO - Epoch(train) [106][2660/3757] lr: 3.7059e-03 eta: 1 day, 6:47:25 time: 0.3946 data_time: 0.0154 memory: 17007 grad_norm: 8.0302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5811 loss: 1.5811 2022/07/28 13:37:48 - mmengine - INFO - Epoch(train) [106][2680/3757] lr: 3.7059e-03 eta: 1 day, 6:47:18 time: 0.4023 data_time: 0.0136 memory: 17007 grad_norm: 8.3756 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7233 loss: 1.7233 2022/07/28 13:37:56 - mmengine - INFO - Epoch(train) [106][2700/3757] lr: 3.7059e-03 eta: 1 day, 6:47:10 time: 0.3957 data_time: 0.0163 memory: 17007 grad_norm: 8.4121 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9169 loss: 1.9169 2022/07/28 13:38:04 - mmengine - INFO - Epoch(train) [106][2720/3757] lr: 3.7059e-03 eta: 1 day, 6:47:02 time: 0.4045 data_time: 0.0138 memory: 17007 grad_norm: 8.0417 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6777 loss: 1.6777 2022/07/28 13:38:12 - mmengine - INFO - Epoch(train) [106][2740/3757] lr: 3.7059e-03 eta: 1 day, 6:46:54 time: 0.3969 data_time: 0.0164 memory: 17007 grad_norm: 8.1527 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8079 loss: 1.8079 2022/07/28 13:38:20 - mmengine - INFO - Epoch(train) [106][2760/3757] lr: 3.7059e-03 eta: 1 day, 6:46:46 time: 0.3934 data_time: 0.0135 memory: 17007 grad_norm: 8.1247 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9018 loss: 1.9018 2022/07/28 13:38:28 - mmengine - INFO - Epoch(train) [106][2780/3757] lr: 3.7059e-03 eta: 1 day, 6:46:38 time: 0.4152 data_time: 0.0168 memory: 17007 grad_norm: 8.2285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5477 loss: 1.5477 2022/07/28 13:38:36 - mmengine - INFO - Epoch(train) [106][2800/3757] lr: 3.7059e-03 eta: 1 day, 6:46:30 time: 0.3935 data_time: 0.0131 memory: 17007 grad_norm: 8.4439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7497 loss: 1.7497 2022/07/28 13:38:44 - mmengine - INFO - Epoch(train) [106][2820/3757] lr: 3.7059e-03 eta: 1 day, 6:46:22 time: 0.4008 data_time: 0.0183 memory: 17007 grad_norm: 7.9939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8459 loss: 1.8459 2022/07/28 13:38:52 - mmengine - INFO - Epoch(train) [106][2840/3757] lr: 3.7059e-03 eta: 1 day, 6:46:14 time: 0.3937 data_time: 0.0131 memory: 17007 grad_norm: 8.5233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8005 loss: 1.8005 2022/07/28 13:39:00 - mmengine - INFO - Epoch(train) [106][2860/3757] lr: 3.7059e-03 eta: 1 day, 6:46:06 time: 0.3941 data_time: 0.0156 memory: 17007 grad_norm: 8.3832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9661 loss: 1.9661 2022/07/28 13:39:08 - mmengine - INFO - Epoch(train) [106][2880/3757] lr: 3.7059e-03 eta: 1 day, 6:45:58 time: 0.3979 data_time: 0.0141 memory: 17007 grad_norm: 8.4517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8087 loss: 1.8087 2022/07/28 13:39:16 - mmengine - INFO - Epoch(train) [106][2900/3757] lr: 3.7059e-03 eta: 1 day, 6:45:50 time: 0.3972 data_time: 0.0163 memory: 17007 grad_norm: 8.0230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9638 loss: 1.9638 2022/07/28 13:39:24 - mmengine - INFO - Epoch(train) [106][2920/3757] lr: 3.7059e-03 eta: 1 day, 6:45:43 time: 0.4112 data_time: 0.0132 memory: 17007 grad_norm: 8.5874 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9766 loss: 1.9766 2022/07/28 13:39:32 - mmengine - INFO - Epoch(train) [106][2940/3757] lr: 3.7059e-03 eta: 1 day, 6:45:35 time: 0.3980 data_time: 0.0159 memory: 17007 grad_norm: 8.2236 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0985 loss: 2.0985 2022/07/28 13:39:44 - mmengine - INFO - Epoch(train) [106][2960/3757] lr: 3.7059e-03 eta: 1 day, 6:45:30 time: 0.6090 data_time: 0.1886 memory: 17007 grad_norm: 8.1519 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6508 loss: 1.6508 2022/07/28 13:39:56 - mmengine - INFO - Epoch(train) [106][2980/3757] lr: 3.7059e-03 eta: 1 day, 6:45:25 time: 0.5969 data_time: 0.0173 memory: 17007 grad_norm: 8.3394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8520 loss: 1.8520 2022/07/28 13:40:06 - mmengine - INFO - Epoch(train) [106][3000/3757] lr: 3.7059e-03 eta: 1 day, 6:45:18 time: 0.5041 data_time: 0.0192 memory: 17007 grad_norm: 8.0899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6473 loss: 1.6473 2022/07/28 13:40:17 - mmengine - INFO - Epoch(train) [106][3020/3757] lr: 3.7059e-03 eta: 1 day, 6:45:12 time: 0.5331 data_time: 0.0674 memory: 17007 grad_norm: 8.2635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8766 loss: 1.8766 2022/07/28 13:40:25 - mmengine - INFO - Epoch(train) [106][3040/3757] lr: 3.7059e-03 eta: 1 day, 6:45:04 time: 0.3967 data_time: 0.0140 memory: 17007 grad_norm: 8.1286 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7873 loss: 1.7873 2022/07/28 13:40:33 - mmengine - INFO - Epoch(train) [106][3060/3757] lr: 3.7059e-03 eta: 1 day, 6:44:56 time: 0.4032 data_time: 0.0183 memory: 17007 grad_norm: 8.0259 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6069 loss: 1.6069 2022/07/28 13:40:41 - mmengine - INFO - Epoch(train) [106][3080/3757] lr: 3.7059e-03 eta: 1 day, 6:44:48 time: 0.3939 data_time: 0.0143 memory: 17007 grad_norm: 7.9950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5851 loss: 1.5851 2022/07/28 13:40:49 - mmengine - INFO - Epoch(train) [106][3100/3757] lr: 3.7059e-03 eta: 1 day, 6:44:40 time: 0.3922 data_time: 0.0132 memory: 17007 grad_norm: 8.1773 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7115 loss: 1.7115 2022/07/28 13:40:58 - mmengine - INFO - Epoch(train) [106][3120/3757] lr: 3.7059e-03 eta: 1 day, 6:44:33 time: 0.4299 data_time: 0.0257 memory: 17007 grad_norm: 8.3026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7716 loss: 1.7716 2022/07/28 13:41:06 - mmengine - INFO - Epoch(train) [106][3140/3757] lr: 3.7059e-03 eta: 1 day, 6:44:25 time: 0.4043 data_time: 0.0122 memory: 17007 grad_norm: 8.4969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1602 loss: 2.1602 2022/07/28 13:41:14 - mmengine - INFO - Epoch(train) [106][3160/3757] lr: 3.7059e-03 eta: 1 day, 6:44:17 time: 0.3999 data_time: 0.0159 memory: 17007 grad_norm: 8.3732 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0298 loss: 2.0298 2022/07/28 13:41:22 - mmengine - INFO - Epoch(train) [106][3180/3757] lr: 3.7059e-03 eta: 1 day, 6:44:09 time: 0.4003 data_time: 0.0126 memory: 17007 grad_norm: 8.2949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0991 loss: 2.0991 2022/07/28 13:41:30 - mmengine - INFO - Epoch(train) [106][3200/3757] lr: 3.7059e-03 eta: 1 day, 6:44:01 time: 0.4007 data_time: 0.0175 memory: 17007 grad_norm: 8.2151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7705 loss: 1.7705 2022/07/28 13:41:39 - mmengine - INFO - Epoch(train) [106][3220/3757] lr: 3.7059e-03 eta: 1 day, 6:43:54 time: 0.4447 data_time: 0.0511 memory: 17007 grad_norm: 7.8128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6764 loss: 1.6764 2022/07/28 13:41:47 - mmengine - INFO - Epoch(train) [106][3240/3757] lr: 3.7059e-03 eta: 1 day, 6:43:46 time: 0.3984 data_time: 0.0132 memory: 17007 grad_norm: 8.4164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7101 loss: 1.7101 2022/07/28 13:41:55 - mmengine - INFO - Epoch(train) [106][3260/3757] lr: 3.7059e-03 eta: 1 day, 6:43:38 time: 0.4070 data_time: 0.0125 memory: 17007 grad_norm: 8.2218 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6094 loss: 1.6094 2022/07/28 13:42:03 - mmengine - INFO - Epoch(train) [106][3280/3757] lr: 3.7059e-03 eta: 1 day, 6:43:31 time: 0.4069 data_time: 0.0170 memory: 17007 grad_norm: 8.0792 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9004 loss: 1.9004 2022/07/28 13:42:11 - mmengine - INFO - Epoch(train) [106][3300/3757] lr: 3.7059e-03 eta: 1 day, 6:43:23 time: 0.3937 data_time: 0.0136 memory: 17007 grad_norm: 8.4195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7187 loss: 1.7187 2022/07/28 13:42:19 - mmengine - INFO - Epoch(train) [106][3320/3757] lr: 3.7059e-03 eta: 1 day, 6:43:15 time: 0.3962 data_time: 0.0163 memory: 17007 grad_norm: 7.8330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6631 loss: 1.6631 2022/07/28 13:42:27 - mmengine - INFO - Epoch(train) [106][3340/3757] lr: 3.7059e-03 eta: 1 day, 6:43:07 time: 0.4015 data_time: 0.0149 memory: 17007 grad_norm: 7.7822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5397 loss: 1.5397 2022/07/28 13:42:35 - mmengine - INFO - Epoch(train) [106][3360/3757] lr: 3.7059e-03 eta: 1 day, 6:42:59 time: 0.3934 data_time: 0.0158 memory: 17007 grad_norm: 8.5762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7748 loss: 1.7748 2022/07/28 13:42:43 - mmengine - INFO - Epoch(train) [106][3380/3757] lr: 3.7059e-03 eta: 1 day, 6:42:51 time: 0.4045 data_time: 0.0147 memory: 17007 grad_norm: 7.8499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7910 loss: 1.7910 2022/07/28 13:42:51 - mmengine - INFO - Epoch(train) [106][3400/3757] lr: 3.7059e-03 eta: 1 day, 6:42:43 time: 0.3951 data_time: 0.0162 memory: 17007 grad_norm: 7.8698 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9493 loss: 1.9493 2022/07/28 13:42:59 - mmengine - INFO - Epoch(train) [106][3420/3757] lr: 3.7059e-03 eta: 1 day, 6:42:35 time: 0.3944 data_time: 0.0131 memory: 17007 grad_norm: 8.1666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7915 loss: 1.7915 2022/07/28 13:43:07 - mmengine - INFO - Epoch(train) [106][3440/3757] lr: 3.7059e-03 eta: 1 day, 6:42:27 time: 0.3990 data_time: 0.0165 memory: 17007 grad_norm: 7.9643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7464 loss: 1.7464 2022/07/28 13:43:14 - mmengine - INFO - Epoch(train) [106][3460/3757] lr: 3.7059e-03 eta: 1 day, 6:42:19 time: 0.3969 data_time: 0.0154 memory: 17007 grad_norm: 7.9222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8908 loss: 1.8908 2022/07/28 13:43:22 - mmengine - INFO - Epoch(train) [106][3480/3757] lr: 3.7059e-03 eta: 1 day, 6:42:11 time: 0.3981 data_time: 0.0169 memory: 17007 grad_norm: 7.8094 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9097 loss: 1.9097 2022/07/28 13:43:30 - mmengine - INFO - Epoch(train) [106][3500/3757] lr: 3.7059e-03 eta: 1 day, 6:42:03 time: 0.3935 data_time: 0.0142 memory: 17007 grad_norm: 8.5207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2260 loss: 2.2260 2022/07/28 13:43:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:43:38 - mmengine - INFO - Epoch(train) [106][3520/3757] lr: 3.7059e-03 eta: 1 day, 6:41:55 time: 0.4012 data_time: 0.0182 memory: 17007 grad_norm: 7.9396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1884 loss: 2.1884 2022/07/28 13:43:46 - mmengine - INFO - Epoch(train) [106][3540/3757] lr: 3.7059e-03 eta: 1 day, 6:41:47 time: 0.3937 data_time: 0.0134 memory: 17007 grad_norm: 8.2852 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7019 loss: 1.7019 2022/07/28 13:43:54 - mmengine - INFO - Epoch(train) [106][3560/3757] lr: 3.7059e-03 eta: 1 day, 6:41:39 time: 0.4022 data_time: 0.0167 memory: 17007 grad_norm: 8.2533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4898 loss: 1.4898 2022/07/28 13:44:02 - mmengine - INFO - Epoch(train) [106][3580/3757] lr: 3.7059e-03 eta: 1 day, 6:41:31 time: 0.3927 data_time: 0.0138 memory: 17007 grad_norm: 7.9505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5538 loss: 1.5538 2022/07/28 13:44:10 - mmengine - INFO - Epoch(train) [106][3600/3757] lr: 3.7059e-03 eta: 1 day, 6:41:23 time: 0.3940 data_time: 0.0157 memory: 17007 grad_norm: 8.2750 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7074 loss: 1.7074 2022/07/28 13:44:18 - mmengine - INFO - Epoch(train) [106][3620/3757] lr: 3.7059e-03 eta: 1 day, 6:41:15 time: 0.3975 data_time: 0.0151 memory: 17007 grad_norm: 8.3056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7680 loss: 1.7680 2022/07/28 13:44:26 - mmengine - INFO - Epoch(train) [106][3640/3757] lr: 3.7059e-03 eta: 1 day, 6:41:07 time: 0.3966 data_time: 0.0155 memory: 17007 grad_norm: 7.7647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7907 loss: 1.7907 2022/07/28 13:44:34 - mmengine - INFO - Epoch(train) [106][3660/3757] lr: 3.7059e-03 eta: 1 day, 6:41:00 time: 0.4061 data_time: 0.0131 memory: 17007 grad_norm: 8.1899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4979 loss: 1.4979 2022/07/28 13:44:42 - mmengine - INFO - Epoch(train) [106][3680/3757] lr: 3.7059e-03 eta: 1 day, 6:40:52 time: 0.3959 data_time: 0.0158 memory: 17007 grad_norm: 8.0124 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6262 loss: 1.6262 2022/07/28 13:44:50 - mmengine - INFO - Epoch(train) [106][3700/3757] lr: 3.7059e-03 eta: 1 day, 6:40:44 time: 0.3925 data_time: 0.0128 memory: 17007 grad_norm: 8.0420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6189 loss: 1.6189 2022/07/28 13:44:58 - mmengine - INFO - Epoch(train) [106][3720/3757] lr: 3.7059e-03 eta: 1 day, 6:40:36 time: 0.3988 data_time: 0.0170 memory: 17007 grad_norm: 8.2352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0795 loss: 2.0795 2022/07/28 13:45:06 - mmengine - INFO - Epoch(train) [106][3740/3757] lr: 3.7059e-03 eta: 1 day, 6:40:28 time: 0.3947 data_time: 0.0130 memory: 17007 grad_norm: 8.1792 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9886 loss: 1.9886 2022/07/28 13:45:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:45:13 - mmengine - INFO - Epoch(train) [106][3757/3757] lr: 3.7059e-03 eta: 1 day, 6:40:28 time: 0.4052 data_time: 0.0183 memory: 17007 grad_norm: 8.2149 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 1.9526 loss: 1.9526 2022/07/28 13:45:13 - mmengine - INFO - Saving checkpoint at 106 epochs 2022/07/28 13:45:25 - mmengine - INFO - Epoch(train) [107][20/3757] lr: 3.6218e-03 eta: 1 day, 6:40:09 time: 0.4749 data_time: 0.0947 memory: 17007 grad_norm: 7.9411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1127 loss: 2.1127 2022/07/28 13:45:32 - mmengine - INFO - Epoch(train) [107][40/3757] lr: 3.6218e-03 eta: 1 day, 6:40:01 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 8.6152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0262 loss: 2.0262 2022/07/28 13:45:40 - mmengine - INFO - Epoch(train) [107][60/3757] lr: 3.6218e-03 eta: 1 day, 6:39:53 time: 0.3934 data_time: 0.0142 memory: 17007 grad_norm: 8.1206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8193 loss: 1.8193 2022/07/28 13:45:48 - mmengine - INFO - Epoch(train) [107][80/3757] lr: 3.6218e-03 eta: 1 day, 6:39:45 time: 0.3938 data_time: 0.0152 memory: 17007 grad_norm: 7.9311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8142 loss: 1.8142 2022/07/28 13:45:56 - mmengine - INFO - Epoch(train) [107][100/3757] lr: 3.6218e-03 eta: 1 day, 6:39:38 time: 0.3979 data_time: 0.0162 memory: 17007 grad_norm: 7.8551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8887 loss: 1.8887 2022/07/28 13:46:04 - mmengine - INFO - Epoch(train) [107][120/3757] lr: 3.6218e-03 eta: 1 day, 6:39:30 time: 0.3947 data_time: 0.0157 memory: 17007 grad_norm: 8.1549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9223 loss: 1.9223 2022/07/28 13:46:12 - mmengine - INFO - Epoch(train) [107][140/3757] lr: 3.6218e-03 eta: 1 day, 6:39:22 time: 0.3975 data_time: 0.0156 memory: 17007 grad_norm: 7.8151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6462 loss: 1.6462 2022/07/28 13:46:20 - mmengine - INFO - Epoch(train) [107][160/3757] lr: 3.6218e-03 eta: 1 day, 6:39:14 time: 0.3996 data_time: 0.0158 memory: 17007 grad_norm: 8.1391 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9812 loss: 1.9812 2022/07/28 13:46:28 - mmengine - INFO - Epoch(train) [107][180/3757] lr: 3.6218e-03 eta: 1 day, 6:39:06 time: 0.3990 data_time: 0.0159 memory: 17007 grad_norm: 8.1292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0226 loss: 2.0226 2022/07/28 13:46:36 - mmengine - INFO - Epoch(train) [107][200/3757] lr: 3.6218e-03 eta: 1 day, 6:38:58 time: 0.3995 data_time: 0.0151 memory: 17007 grad_norm: 8.0463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8362 loss: 1.8362 2022/07/28 13:46:44 - mmengine - INFO - Epoch(train) [107][220/3757] lr: 3.6218e-03 eta: 1 day, 6:38:50 time: 0.3948 data_time: 0.0139 memory: 17007 grad_norm: 8.3839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9264 loss: 1.9264 2022/07/28 13:46:52 - mmengine - INFO - Epoch(train) [107][240/3757] lr: 3.6218e-03 eta: 1 day, 6:38:42 time: 0.3961 data_time: 0.0159 memory: 17007 grad_norm: 7.7337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6840 loss: 1.6840 2022/07/28 13:47:00 - mmengine - INFO - Epoch(train) [107][260/3757] lr: 3.6218e-03 eta: 1 day, 6:38:34 time: 0.3935 data_time: 0.0145 memory: 17007 grad_norm: 8.2310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0928 loss: 2.0928 2022/07/28 13:47:08 - mmengine - INFO - Epoch(train) [107][280/3757] lr: 3.6218e-03 eta: 1 day, 6:38:26 time: 0.3977 data_time: 0.0172 memory: 17007 grad_norm: 8.0540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5035 loss: 1.5035 2022/07/28 13:47:16 - mmengine - INFO - Epoch(train) [107][300/3757] lr: 3.6218e-03 eta: 1 day, 6:38:18 time: 0.3950 data_time: 0.0158 memory: 17007 grad_norm: 7.7465 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5732 loss: 1.5732 2022/07/28 13:47:24 - mmengine - INFO - Epoch(train) [107][320/3757] lr: 3.6218e-03 eta: 1 day, 6:38:10 time: 0.3992 data_time: 0.0155 memory: 17007 grad_norm: 8.1091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9970 loss: 1.9970 2022/07/28 13:47:32 - mmengine - INFO - Epoch(train) [107][340/3757] lr: 3.6218e-03 eta: 1 day, 6:38:02 time: 0.3942 data_time: 0.0136 memory: 17007 grad_norm: 7.8913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7562 loss: 1.7562 2022/07/28 13:47:39 - mmengine - INFO - Epoch(train) [107][360/3757] lr: 3.6218e-03 eta: 1 day, 6:37:54 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 8.1906 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8333 loss: 1.8333 2022/07/28 13:47:47 - mmengine - INFO - Epoch(train) [107][380/3757] lr: 3.6218e-03 eta: 1 day, 6:37:46 time: 0.3945 data_time: 0.0153 memory: 17007 grad_norm: 7.9664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6970 loss: 1.6970 2022/07/28 13:47:55 - mmengine - INFO - Epoch(train) [107][400/3757] lr: 3.6218e-03 eta: 1 day, 6:37:38 time: 0.3995 data_time: 0.0166 memory: 17007 grad_norm: 8.0232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8977 loss: 1.8977 2022/07/28 13:48:03 - mmengine - INFO - Epoch(train) [107][420/3757] lr: 3.6218e-03 eta: 1 day, 6:37:30 time: 0.3978 data_time: 0.0160 memory: 17007 grad_norm: 7.9873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6984 loss: 1.6984 2022/07/28 13:48:11 - mmengine - INFO - Epoch(train) [107][440/3757] lr: 3.6218e-03 eta: 1 day, 6:37:22 time: 0.3943 data_time: 0.0150 memory: 17007 grad_norm: 7.9836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7468 loss: 1.7468 2022/07/28 13:48:19 - mmengine - INFO - Epoch(train) [107][460/3757] lr: 3.6218e-03 eta: 1 day, 6:37:14 time: 0.3953 data_time: 0.0153 memory: 17007 grad_norm: 8.5280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8598 loss: 1.8598 2022/07/28 13:48:27 - mmengine - INFO - Epoch(train) [107][480/3757] lr: 3.6218e-03 eta: 1 day, 6:37:06 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 8.0510 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0507 loss: 2.0507 2022/07/28 13:48:35 - mmengine - INFO - Epoch(train) [107][500/3757] lr: 3.6218e-03 eta: 1 day, 6:36:59 time: 0.4030 data_time: 0.0162 memory: 17007 grad_norm: 7.8663 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6558 loss: 1.6558 2022/07/28 13:48:43 - mmengine - INFO - Epoch(train) [107][520/3757] lr: 3.6218e-03 eta: 1 day, 6:36:51 time: 0.4080 data_time: 0.0172 memory: 17007 grad_norm: 7.9413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7955 loss: 1.7955 2022/07/28 13:48:51 - mmengine - INFO - Epoch(train) [107][540/3757] lr: 3.6218e-03 eta: 1 day, 6:36:43 time: 0.3931 data_time: 0.0150 memory: 17007 grad_norm: 8.2408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7423 loss: 1.7423 2022/07/28 13:48:59 - mmengine - INFO - Epoch(train) [107][560/3757] lr: 3.6218e-03 eta: 1 day, 6:36:35 time: 0.3975 data_time: 0.0166 memory: 17007 grad_norm: 7.9497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5817 loss: 1.5817 2022/07/28 13:49:07 - mmengine - INFO - Epoch(train) [107][580/3757] lr: 3.6218e-03 eta: 1 day, 6:36:27 time: 0.3942 data_time: 0.0144 memory: 17007 grad_norm: 7.9101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6303 loss: 1.6303 2022/07/28 13:49:15 - mmengine - INFO - Epoch(train) [107][600/3757] lr: 3.6218e-03 eta: 1 day, 6:36:19 time: 0.3957 data_time: 0.0166 memory: 17007 grad_norm: 8.0330 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6673 loss: 1.6673 2022/07/28 13:49:23 - mmengine - INFO - Epoch(train) [107][620/3757] lr: 3.6218e-03 eta: 1 day, 6:36:11 time: 0.3982 data_time: 0.0145 memory: 17007 grad_norm: 8.5792 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1716 loss: 2.1716 2022/07/28 13:49:31 - mmengine - INFO - Epoch(train) [107][640/3757] lr: 3.6218e-03 eta: 1 day, 6:36:03 time: 0.3957 data_time: 0.0158 memory: 17007 grad_norm: 8.0480 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8367 loss: 1.8367 2022/07/28 13:49:39 - mmengine - INFO - Epoch(train) [107][660/3757] lr: 3.6218e-03 eta: 1 day, 6:35:55 time: 0.4003 data_time: 0.0171 memory: 17007 grad_norm: 7.9769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6988 loss: 1.6988 2022/07/28 13:49:47 - mmengine - INFO - Epoch(train) [107][680/3757] lr: 3.6218e-03 eta: 1 day, 6:35:47 time: 0.3961 data_time: 0.0149 memory: 17007 grad_norm: 7.7949 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8526 loss: 1.8526 2022/07/28 13:49:55 - mmengine - INFO - Epoch(train) [107][700/3757] lr: 3.6218e-03 eta: 1 day, 6:35:39 time: 0.4004 data_time: 0.0156 memory: 17007 grad_norm: 8.2798 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7775 loss: 1.7775 2022/07/28 13:50:03 - mmengine - INFO - Epoch(train) [107][720/3757] lr: 3.6218e-03 eta: 1 day, 6:35:31 time: 0.3996 data_time: 0.0164 memory: 17007 grad_norm: 8.4437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7397 loss: 1.7397 2022/07/28 13:50:11 - mmengine - INFO - Epoch(train) [107][740/3757] lr: 3.6218e-03 eta: 1 day, 6:35:23 time: 0.3955 data_time: 0.0150 memory: 17007 grad_norm: 8.4432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9709 loss: 1.9709 2022/07/28 13:50:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:50:19 - mmengine - INFO - Epoch(train) [107][760/3757] lr: 3.6218e-03 eta: 1 day, 6:35:15 time: 0.3954 data_time: 0.0156 memory: 17007 grad_norm: 8.4200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5894 loss: 1.5894 2022/07/28 13:50:27 - mmengine - INFO - Epoch(train) [107][780/3757] lr: 3.6218e-03 eta: 1 day, 6:35:08 time: 0.4031 data_time: 0.0187 memory: 17007 grad_norm: 7.6708 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6398 loss: 1.6398 2022/07/28 13:50:35 - mmengine - INFO - Epoch(train) [107][800/3757] lr: 3.6218e-03 eta: 1 day, 6:35:00 time: 0.3932 data_time: 0.0132 memory: 17007 grad_norm: 7.8351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8239 loss: 1.8239 2022/07/28 13:50:43 - mmengine - INFO - Epoch(train) [107][820/3757] lr: 3.6218e-03 eta: 1 day, 6:34:52 time: 0.4052 data_time: 0.0168 memory: 17007 grad_norm: 8.1355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8156 loss: 1.8156 2022/07/28 13:50:51 - mmengine - INFO - Epoch(train) [107][840/3757] lr: 3.6218e-03 eta: 1 day, 6:34:44 time: 0.3960 data_time: 0.0161 memory: 17007 grad_norm: 8.4220 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9529 loss: 1.9529 2022/07/28 13:50:59 - mmengine - INFO - Epoch(train) [107][860/3757] lr: 3.6218e-03 eta: 1 day, 6:34:36 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 8.2744 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7361 loss: 1.7361 2022/07/28 13:51:07 - mmengine - INFO - Epoch(train) [107][880/3757] lr: 3.6218e-03 eta: 1 day, 6:34:28 time: 0.4119 data_time: 0.0168 memory: 17007 grad_norm: 7.9439 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8225 loss: 1.8225 2022/07/28 13:51:15 - mmengine - INFO - Epoch(train) [107][900/3757] lr: 3.6218e-03 eta: 1 day, 6:34:20 time: 0.3940 data_time: 0.0158 memory: 17007 grad_norm: 8.2710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8070 loss: 1.8070 2022/07/28 13:51:23 - mmengine - INFO - Epoch(train) [107][920/3757] lr: 3.6218e-03 eta: 1 day, 6:34:12 time: 0.4221 data_time: 0.0166 memory: 17007 grad_norm: 8.0965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9491 loss: 1.9491 2022/07/28 13:51:31 - mmengine - INFO - Epoch(train) [107][940/3757] lr: 3.6218e-03 eta: 1 day, 6:34:04 time: 0.3954 data_time: 0.0151 memory: 17007 grad_norm: 8.0337 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9152 loss: 1.9152 2022/07/28 13:51:39 - mmengine - INFO - Epoch(train) [107][960/3757] lr: 3.6218e-03 eta: 1 day, 6:33:57 time: 0.4012 data_time: 0.0173 memory: 17007 grad_norm: 8.4480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7676 loss: 1.7676 2022/07/28 13:51:47 - mmengine - INFO - Epoch(train) [107][980/3757] lr: 3.6218e-03 eta: 1 day, 6:33:49 time: 0.3938 data_time: 0.0145 memory: 17007 grad_norm: 8.0690 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7008 loss: 1.7008 2022/07/28 13:51:55 - mmengine - INFO - Epoch(train) [107][1000/3757] lr: 3.6218e-03 eta: 1 day, 6:33:41 time: 0.3971 data_time: 0.0173 memory: 17007 grad_norm: 8.2982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6266 loss: 1.6266 2022/07/28 13:52:03 - mmengine - INFO - Epoch(train) [107][1020/3757] lr: 3.6218e-03 eta: 1 day, 6:33:33 time: 0.4052 data_time: 0.0144 memory: 17007 grad_norm: 8.0832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9678 loss: 1.9678 2022/07/28 13:52:11 - mmengine - INFO - Epoch(train) [107][1040/3757] lr: 3.6218e-03 eta: 1 day, 6:33:25 time: 0.3938 data_time: 0.0146 memory: 17007 grad_norm: 8.0914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6702 loss: 1.6702 2022/07/28 13:52:19 - mmengine - INFO - Epoch(train) [107][1060/3757] lr: 3.6218e-03 eta: 1 day, 6:33:17 time: 0.3953 data_time: 0.0163 memory: 17007 grad_norm: 8.2736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5984 loss: 1.5984 2022/07/28 13:52:27 - mmengine - INFO - Epoch(train) [107][1080/3757] lr: 3.6218e-03 eta: 1 day, 6:33:09 time: 0.3952 data_time: 0.0156 memory: 17007 grad_norm: 8.0490 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7963 loss: 1.7963 2022/07/28 13:52:35 - mmengine - INFO - Epoch(train) [107][1100/3757] lr: 3.6218e-03 eta: 1 day, 6:33:01 time: 0.3964 data_time: 0.0170 memory: 17007 grad_norm: 7.9964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9105 loss: 1.9105 2022/07/28 13:52:43 - mmengine - INFO - Epoch(train) [107][1120/3757] lr: 3.6218e-03 eta: 1 day, 6:32:53 time: 0.3967 data_time: 0.0158 memory: 17007 grad_norm: 7.9762 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7047 loss: 1.7047 2022/07/28 13:52:51 - mmengine - INFO - Epoch(train) [107][1140/3757] lr: 3.6218e-03 eta: 1 day, 6:32:45 time: 0.3945 data_time: 0.0142 memory: 17007 grad_norm: 7.9776 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8576 loss: 1.8576 2022/07/28 13:52:59 - mmengine - INFO - Epoch(train) [107][1160/3757] lr: 3.6218e-03 eta: 1 day, 6:32:37 time: 0.3987 data_time: 0.0157 memory: 17007 grad_norm: 8.1293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7854 loss: 1.7854 2022/07/28 13:53:07 - mmengine - INFO - Epoch(train) [107][1180/3757] lr: 3.6218e-03 eta: 1 day, 6:32:29 time: 0.4055 data_time: 0.0184 memory: 17007 grad_norm: 8.0110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9325 loss: 1.9325 2022/07/28 13:53:15 - mmengine - INFO - Epoch(train) [107][1200/3757] lr: 3.6218e-03 eta: 1 day, 6:32:21 time: 0.4005 data_time: 0.0163 memory: 17007 grad_norm: 8.1148 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8180 loss: 1.8180 2022/07/28 13:53:23 - mmengine - INFO - Epoch(train) [107][1220/3757] lr: 3.6218e-03 eta: 1 day, 6:32:13 time: 0.3981 data_time: 0.0172 memory: 17007 grad_norm: 8.0220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7421 loss: 1.7421 2022/07/28 13:53:31 - mmengine - INFO - Epoch(train) [107][1240/3757] lr: 3.6218e-03 eta: 1 day, 6:32:05 time: 0.3950 data_time: 0.0159 memory: 17007 grad_norm: 8.0302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5977 loss: 1.5977 2022/07/28 13:53:39 - mmengine - INFO - Epoch(train) [107][1260/3757] lr: 3.6218e-03 eta: 1 day, 6:31:57 time: 0.3947 data_time: 0.0145 memory: 17007 grad_norm: 8.2699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6305 loss: 1.6305 2022/07/28 13:53:47 - mmengine - INFO - Epoch(train) [107][1280/3757] lr: 3.6218e-03 eta: 1 day, 6:31:50 time: 0.4032 data_time: 0.0166 memory: 17007 grad_norm: 8.3914 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7872 loss: 1.7872 2022/07/28 13:53:55 - mmengine - INFO - Epoch(train) [107][1300/3757] lr: 3.6218e-03 eta: 1 day, 6:31:42 time: 0.3935 data_time: 0.0139 memory: 17007 grad_norm: 8.5072 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9206 loss: 1.9206 2022/07/28 13:54:03 - mmengine - INFO - Epoch(train) [107][1320/3757] lr: 3.6218e-03 eta: 1 day, 6:31:34 time: 0.3962 data_time: 0.0154 memory: 17007 grad_norm: 8.3065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7535 loss: 1.7535 2022/07/28 13:54:10 - mmengine - INFO - Epoch(train) [107][1340/3757] lr: 3.6218e-03 eta: 1 day, 6:31:26 time: 0.3948 data_time: 0.0133 memory: 17007 grad_norm: 8.2578 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0417 loss: 2.0417 2022/07/28 13:54:18 - mmengine - INFO - Epoch(train) [107][1360/3757] lr: 3.6218e-03 eta: 1 day, 6:31:18 time: 0.3953 data_time: 0.0153 memory: 17007 grad_norm: 8.0334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7352 loss: 1.7352 2022/07/28 13:54:26 - mmengine - INFO - Epoch(train) [107][1380/3757] lr: 3.6218e-03 eta: 1 day, 6:31:10 time: 0.4029 data_time: 0.0155 memory: 17007 grad_norm: 8.1205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6848 loss: 1.6848 2022/07/28 13:54:34 - mmengine - INFO - Epoch(train) [107][1400/3757] lr: 3.6218e-03 eta: 1 day, 6:31:02 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 8.3801 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0487 loss: 2.0487 2022/07/28 13:54:42 - mmengine - INFO - Epoch(train) [107][1420/3757] lr: 3.6218e-03 eta: 1 day, 6:30:54 time: 0.3954 data_time: 0.0139 memory: 17007 grad_norm: 8.5575 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0089 loss: 2.0089 2022/07/28 13:54:50 - mmengine - INFO - Epoch(train) [107][1440/3757] lr: 3.6218e-03 eta: 1 day, 6:30:46 time: 0.3974 data_time: 0.0162 memory: 17007 grad_norm: 7.9629 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8429 loss: 1.8429 2022/07/28 13:54:58 - mmengine - INFO - Epoch(train) [107][1460/3757] lr: 3.6218e-03 eta: 1 day, 6:30:38 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 8.3421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7658 loss: 1.7658 2022/07/28 13:55:06 - mmengine - INFO - Epoch(train) [107][1480/3757] lr: 3.6218e-03 eta: 1 day, 6:30:30 time: 0.4095 data_time: 0.0171 memory: 17007 grad_norm: 8.0967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6725 loss: 1.6725 2022/07/28 13:55:14 - mmengine - INFO - Epoch(train) [107][1500/3757] lr: 3.6218e-03 eta: 1 day, 6:30:22 time: 0.3950 data_time: 0.0145 memory: 17007 grad_norm: 8.0444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7750 loss: 1.7750 2022/07/28 13:55:22 - mmengine - INFO - Epoch(train) [107][1520/3757] lr: 3.6218e-03 eta: 1 day, 6:30:14 time: 0.3943 data_time: 0.0147 memory: 17007 grad_norm: 7.6425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8177 loss: 1.8177 2022/07/28 13:55:30 - mmengine - INFO - Epoch(train) [107][1540/3757] lr: 3.6218e-03 eta: 1 day, 6:30:06 time: 0.4071 data_time: 0.0160 memory: 17007 grad_norm: 8.2220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7072 loss: 1.7072 2022/07/28 13:55:38 - mmengine - INFO - Epoch(train) [107][1560/3757] lr: 3.6218e-03 eta: 1 day, 6:29:59 time: 0.3941 data_time: 0.0155 memory: 17007 grad_norm: 8.0210 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7802 loss: 1.7802 2022/07/28 13:55:46 - mmengine - INFO - Epoch(train) [107][1580/3757] lr: 3.6218e-03 eta: 1 day, 6:29:51 time: 0.4011 data_time: 0.0143 memory: 17007 grad_norm: 8.4977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0188 loss: 2.0188 2022/07/28 13:55:54 - mmengine - INFO - Epoch(train) [107][1600/3757] lr: 3.6218e-03 eta: 1 day, 6:29:43 time: 0.3972 data_time: 0.0168 memory: 17007 grad_norm: 7.8739 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.8397 loss: 1.8397 2022/07/28 13:56:02 - mmengine - INFO - Epoch(train) [107][1620/3757] lr: 3.6218e-03 eta: 1 day, 6:29:35 time: 0.3941 data_time: 0.0136 memory: 17007 grad_norm: 8.1976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6600 loss: 1.6600 2022/07/28 13:56:10 - mmengine - INFO - Epoch(train) [107][1640/3757] lr: 3.6218e-03 eta: 1 day, 6:29:27 time: 0.4031 data_time: 0.0167 memory: 17007 grad_norm: 7.8904 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6745 loss: 1.6745 2022/07/28 13:56:18 - mmengine - INFO - Epoch(train) [107][1660/3757] lr: 3.6218e-03 eta: 1 day, 6:29:19 time: 0.3956 data_time: 0.0131 memory: 17007 grad_norm: 8.1937 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6431 loss: 1.6431 2022/07/28 13:56:26 - mmengine - INFO - Epoch(train) [107][1680/3757] lr: 3.6218e-03 eta: 1 day, 6:29:11 time: 0.3964 data_time: 0.0176 memory: 17007 grad_norm: 8.1263 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8106 loss: 1.8106 2022/07/28 13:56:34 - mmengine - INFO - Epoch(train) [107][1700/3757] lr: 3.6218e-03 eta: 1 day, 6:29:03 time: 0.3948 data_time: 0.0151 memory: 17007 grad_norm: 8.2691 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8018 loss: 1.8018 2022/07/28 13:56:42 - mmengine - INFO - Epoch(train) [107][1720/3757] lr: 3.6218e-03 eta: 1 day, 6:28:55 time: 0.4002 data_time: 0.0156 memory: 17007 grad_norm: 8.4704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8103 loss: 1.8103 2022/07/28 13:56:50 - mmengine - INFO - Epoch(train) [107][1740/3757] lr: 3.6218e-03 eta: 1 day, 6:28:47 time: 0.3943 data_time: 0.0143 memory: 17007 grad_norm: 8.1887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8535 loss: 1.8535 2022/07/28 13:56:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 13:56:58 - mmengine - INFO - Epoch(train) [107][1760/3757] lr: 3.6218e-03 eta: 1 day, 6:28:39 time: 0.4081 data_time: 0.0168 memory: 17007 grad_norm: 8.2397 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9772 loss: 1.9772 2022/07/28 13:57:06 - mmengine - INFO - Epoch(train) [107][1780/3757] lr: 3.6218e-03 eta: 1 day, 6:28:31 time: 0.3970 data_time: 0.0151 memory: 17007 grad_norm: 8.2421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7138 loss: 1.7138 2022/07/28 13:57:14 - mmengine - INFO - Epoch(train) [107][1800/3757] lr: 3.6218e-03 eta: 1 day, 6:28:23 time: 0.3981 data_time: 0.0159 memory: 17007 grad_norm: 8.2365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8802 loss: 1.8802 2022/07/28 13:57:22 - mmengine - INFO - Epoch(train) [107][1820/3757] lr: 3.6218e-03 eta: 1 day, 6:28:15 time: 0.3958 data_time: 0.0163 memory: 17007 grad_norm: 8.1189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7387 loss: 1.7387 2022/07/28 13:57:30 - mmengine - INFO - Epoch(train) [107][1840/3757] lr: 3.6218e-03 eta: 1 day, 6:28:08 time: 0.4033 data_time: 0.0164 memory: 17007 grad_norm: 8.0757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9782 loss: 1.9782 2022/07/28 13:57:38 - mmengine - INFO - Epoch(train) [107][1860/3757] lr: 3.6218e-03 eta: 1 day, 6:28:00 time: 0.3990 data_time: 0.0151 memory: 17007 grad_norm: 7.9951 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6704 loss: 1.6704 2022/07/28 13:57:46 - mmengine - INFO - Epoch(train) [107][1880/3757] lr: 3.6218e-03 eta: 1 day, 6:27:52 time: 0.4019 data_time: 0.0179 memory: 17007 grad_norm: 8.1220 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7603 loss: 1.7603 2022/07/28 13:57:54 - mmengine - INFO - Epoch(train) [107][1900/3757] lr: 3.6218e-03 eta: 1 day, 6:27:44 time: 0.3994 data_time: 0.0151 memory: 17007 grad_norm: 8.4154 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8120 loss: 1.8120 2022/07/28 13:58:02 - mmengine - INFO - Epoch(train) [107][1920/3757] lr: 3.6218e-03 eta: 1 day, 6:27:36 time: 0.3979 data_time: 0.0171 memory: 17007 grad_norm: 8.3077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7946 loss: 1.7946 2022/07/28 13:58:10 - mmengine - INFO - Epoch(train) [107][1940/3757] lr: 3.6218e-03 eta: 1 day, 6:27:28 time: 0.3968 data_time: 0.0152 memory: 17007 grad_norm: 8.3254 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0007 loss: 2.0007 2022/07/28 13:58:18 - mmengine - INFO - Epoch(train) [107][1960/3757] lr: 3.6218e-03 eta: 1 day, 6:27:20 time: 0.3989 data_time: 0.0171 memory: 17007 grad_norm: 8.3268 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6448 loss: 1.6448 2022/07/28 13:58:26 - mmengine - INFO - Epoch(train) [107][1980/3757] lr: 3.6218e-03 eta: 1 day, 6:27:12 time: 0.3966 data_time: 0.0142 memory: 17007 grad_norm: 8.3631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6407 loss: 1.6407 2022/07/28 13:58:35 - mmengine - INFO - Epoch(train) [107][2000/3757] lr: 3.6218e-03 eta: 1 day, 6:27:05 time: 0.4392 data_time: 0.0180 memory: 17007 grad_norm: 7.9315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6443 loss: 1.6443 2022/07/28 13:58:43 - mmengine - INFO - Epoch(train) [107][2020/3757] lr: 3.6218e-03 eta: 1 day, 6:26:57 time: 0.3952 data_time: 0.0150 memory: 17007 grad_norm: 8.0528 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6706 loss: 1.6706 2022/07/28 13:58:51 - mmengine - INFO - Epoch(train) [107][2040/3757] lr: 3.6218e-03 eta: 1 day, 6:26:49 time: 0.3987 data_time: 0.0166 memory: 17007 grad_norm: 8.2472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4945 loss: 1.4945 2022/07/28 13:58:58 - mmengine - INFO - Epoch(train) [107][2060/3757] lr: 3.6218e-03 eta: 1 day, 6:26:41 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 7.9315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6853 loss: 1.6853 2022/07/28 13:59:07 - mmengine - INFO - Epoch(train) [107][2080/3757] lr: 3.6218e-03 eta: 1 day, 6:26:33 time: 0.4017 data_time: 0.0174 memory: 17007 grad_norm: 8.1567 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8675 loss: 1.8675 2022/07/28 13:59:14 - mmengine - INFO - Epoch(train) [107][2100/3757] lr: 3.6218e-03 eta: 1 day, 6:26:25 time: 0.3935 data_time: 0.0159 memory: 17007 grad_norm: 8.1799 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7689 loss: 1.7689 2022/07/28 13:59:22 - mmengine - INFO - Epoch(train) [107][2120/3757] lr: 3.6218e-03 eta: 1 day, 6:26:17 time: 0.3937 data_time: 0.0148 memory: 17007 grad_norm: 8.0481 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9180 loss: 1.9180 2022/07/28 13:59:30 - mmengine - INFO - Epoch(train) [107][2140/3757] lr: 3.6218e-03 eta: 1 day, 6:26:09 time: 0.3981 data_time: 0.0147 memory: 17007 grad_norm: 8.2467 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0917 loss: 2.0917 2022/07/28 13:59:38 - mmengine - INFO - Epoch(train) [107][2160/3757] lr: 3.6218e-03 eta: 1 day, 6:26:01 time: 0.3968 data_time: 0.0164 memory: 17007 grad_norm: 8.3943 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1564 loss: 2.1564 2022/07/28 13:59:46 - mmengine - INFO - Epoch(train) [107][2180/3757] lr: 3.6218e-03 eta: 1 day, 6:25:53 time: 0.4014 data_time: 0.0156 memory: 17007 grad_norm: 7.9125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8529 loss: 1.8529 2022/07/28 13:59:54 - mmengine - INFO - Epoch(train) [107][2200/3757] lr: 3.6218e-03 eta: 1 day, 6:25:45 time: 0.3978 data_time: 0.0174 memory: 17007 grad_norm: 7.9531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8856 loss: 1.8856 2022/07/28 14:00:02 - mmengine - INFO - Epoch(train) [107][2220/3757] lr: 3.6218e-03 eta: 1 day, 6:25:37 time: 0.3943 data_time: 0.0140 memory: 17007 grad_norm: 8.0719 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5716 loss: 1.5716 2022/07/28 14:00:10 - mmengine - INFO - Epoch(train) [107][2240/3757] lr: 3.6218e-03 eta: 1 day, 6:25:29 time: 0.4032 data_time: 0.0165 memory: 17007 grad_norm: 8.3773 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7978 loss: 1.7978 2022/07/28 14:00:18 - mmengine - INFO - Epoch(train) [107][2260/3757] lr: 3.6218e-03 eta: 1 day, 6:25:22 time: 0.3977 data_time: 0.0140 memory: 17007 grad_norm: 8.1637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7869 loss: 1.7869 2022/07/28 14:00:26 - mmengine - INFO - Epoch(train) [107][2280/3757] lr: 3.6218e-03 eta: 1 day, 6:25:14 time: 0.3945 data_time: 0.0155 memory: 17007 grad_norm: 8.4909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8462 loss: 1.8462 2022/07/28 14:00:34 - mmengine - INFO - Epoch(train) [107][2300/3757] lr: 3.6218e-03 eta: 1 day, 6:25:06 time: 0.3968 data_time: 0.0141 memory: 17007 grad_norm: 8.3166 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9086 loss: 1.9086 2022/07/28 14:00:42 - mmengine - INFO - Epoch(train) [107][2320/3757] lr: 3.6218e-03 eta: 1 day, 6:24:58 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 8.2700 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8113 loss: 1.8113 2022/07/28 14:00:50 - mmengine - INFO - Epoch(train) [107][2340/3757] lr: 3.6218e-03 eta: 1 day, 6:24:50 time: 0.3983 data_time: 0.0156 memory: 17007 grad_norm: 8.5257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8243 loss: 1.8243 2022/07/28 14:00:58 - mmengine - INFO - Epoch(train) [107][2360/3757] lr: 3.6218e-03 eta: 1 day, 6:24:42 time: 0.3963 data_time: 0.0161 memory: 17007 grad_norm: 7.8538 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6896 loss: 1.6896 2022/07/28 14:01:06 - mmengine - INFO - Epoch(train) [107][2380/3757] lr: 3.6218e-03 eta: 1 day, 6:24:34 time: 0.3965 data_time: 0.0141 memory: 17007 grad_norm: 8.2077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7095 loss: 1.7095 2022/07/28 14:01:14 - mmengine - INFO - Epoch(train) [107][2400/3757] lr: 3.6218e-03 eta: 1 day, 6:24:26 time: 0.3958 data_time: 0.0162 memory: 17007 grad_norm: 8.3424 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7813 loss: 1.7813 2022/07/28 14:01:22 - mmengine - INFO - Epoch(train) [107][2420/3757] lr: 3.6218e-03 eta: 1 day, 6:24:18 time: 0.3936 data_time: 0.0141 memory: 17007 grad_norm: 8.1175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6601 loss: 1.6601 2022/07/28 14:01:30 - mmengine - INFO - Epoch(train) [107][2440/3757] lr: 3.6218e-03 eta: 1 day, 6:24:10 time: 0.4015 data_time: 0.0177 memory: 17007 grad_norm: 8.3831 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8207 loss: 1.8207 2022/07/28 14:01:38 - mmengine - INFO - Epoch(train) [107][2460/3757] lr: 3.6218e-03 eta: 1 day, 6:24:02 time: 0.3943 data_time: 0.0151 memory: 17007 grad_norm: 7.9874 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5826 loss: 1.5826 2022/07/28 14:01:46 - mmengine - INFO - Epoch(train) [107][2480/3757] lr: 3.6218e-03 eta: 1 day, 6:23:54 time: 0.4021 data_time: 0.0168 memory: 17007 grad_norm: 8.4122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8419 loss: 1.8419 2022/07/28 14:01:54 - mmengine - INFO - Epoch(train) [107][2500/3757] lr: 3.6218e-03 eta: 1 day, 6:23:46 time: 0.3945 data_time: 0.0138 memory: 17007 grad_norm: 8.0382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7112 loss: 1.7112 2022/07/28 14:02:01 - mmengine - INFO - Epoch(train) [107][2520/3757] lr: 3.6218e-03 eta: 1 day, 6:23:38 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 8.3154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0833 loss: 2.0833 2022/07/28 14:02:09 - mmengine - INFO - Epoch(train) [107][2540/3757] lr: 3.6218e-03 eta: 1 day, 6:23:30 time: 0.3975 data_time: 0.0164 memory: 17007 grad_norm: 8.1245 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8833 loss: 1.8833 2022/07/28 14:02:17 - mmengine - INFO - Epoch(train) [107][2560/3757] lr: 3.6218e-03 eta: 1 day, 6:23:22 time: 0.3989 data_time: 0.0156 memory: 17007 grad_norm: 8.0454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6181 loss: 1.6181 2022/07/28 14:02:25 - mmengine - INFO - Epoch(train) [107][2580/3757] lr: 3.6218e-03 eta: 1 day, 6:23:14 time: 0.3965 data_time: 0.0161 memory: 17007 grad_norm: 8.3357 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8775 loss: 1.8775 2022/07/28 14:02:34 - mmengine - INFO - Epoch(train) [107][2600/3757] lr: 3.6218e-03 eta: 1 day, 6:23:07 time: 0.4103 data_time: 0.0156 memory: 17007 grad_norm: 8.3930 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9136 loss: 1.9136 2022/07/28 14:02:41 - mmengine - INFO - Epoch(train) [107][2620/3757] lr: 3.6218e-03 eta: 1 day, 6:22:59 time: 0.3954 data_time: 0.0145 memory: 17007 grad_norm: 8.1776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9795 loss: 1.9795 2022/07/28 14:02:49 - mmengine - INFO - Epoch(train) [107][2640/3757] lr: 3.6218e-03 eta: 1 day, 6:22:51 time: 0.3982 data_time: 0.0157 memory: 17007 grad_norm: 8.3415 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8368 loss: 1.8368 2022/07/28 14:02:58 - mmengine - INFO - Epoch(train) [107][2660/3757] lr: 3.6218e-03 eta: 1 day, 6:22:43 time: 0.4042 data_time: 0.0148 memory: 17007 grad_norm: 8.3115 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8291 loss: 1.8291 2022/07/28 14:03:06 - mmengine - INFO - Epoch(train) [107][2680/3757] lr: 3.6218e-03 eta: 1 day, 6:22:35 time: 0.3987 data_time: 0.0157 memory: 17007 grad_norm: 8.4205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8713 loss: 1.8713 2022/07/28 14:03:13 - mmengine - INFO - Epoch(train) [107][2700/3757] lr: 3.6218e-03 eta: 1 day, 6:22:27 time: 0.3975 data_time: 0.0151 memory: 17007 grad_norm: 8.4213 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8454 loss: 1.8454 2022/07/28 14:03:21 - mmengine - INFO - Epoch(train) [107][2720/3757] lr: 3.6218e-03 eta: 1 day, 6:22:19 time: 0.3950 data_time: 0.0160 memory: 17007 grad_norm: 8.2316 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4463 loss: 1.4463 2022/07/28 14:03:29 - mmengine - INFO - Epoch(train) [107][2740/3757] lr: 3.6218e-03 eta: 1 day, 6:22:11 time: 0.3974 data_time: 0.0159 memory: 17007 grad_norm: 8.0594 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0051 loss: 2.0051 2022/07/28 14:03:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:03:37 - mmengine - INFO - Epoch(train) [107][2760/3757] lr: 3.6218e-03 eta: 1 day, 6:22:03 time: 0.3965 data_time: 0.0159 memory: 17007 grad_norm: 8.3694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7667 loss: 1.7667 2022/07/28 14:03:45 - mmengine - INFO - Epoch(train) [107][2780/3757] lr: 3.6218e-03 eta: 1 day, 6:21:55 time: 0.3976 data_time: 0.0163 memory: 17007 grad_norm: 7.7897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7929 loss: 1.7929 2022/07/28 14:03:53 - mmengine - INFO - Epoch(train) [107][2800/3757] lr: 3.6218e-03 eta: 1 day, 6:21:47 time: 0.3956 data_time: 0.0163 memory: 17007 grad_norm: 7.8543 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8840 loss: 1.8840 2022/07/28 14:04:01 - mmengine - INFO - Epoch(train) [107][2820/3757] lr: 3.6218e-03 eta: 1 day, 6:21:39 time: 0.3995 data_time: 0.0161 memory: 17007 grad_norm: 8.3454 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5951 loss: 1.5951 2022/07/28 14:04:09 - mmengine - INFO - Epoch(train) [107][2840/3757] lr: 3.6218e-03 eta: 1 day, 6:21:31 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 7.9523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4798 loss: 1.4798 2022/07/28 14:04:17 - mmengine - INFO - Epoch(train) [107][2860/3757] lr: 3.6218e-03 eta: 1 day, 6:21:23 time: 0.3960 data_time: 0.0153 memory: 17007 grad_norm: 7.8792 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6613 loss: 1.6613 2022/07/28 14:04:25 - mmengine - INFO - Epoch(train) [107][2880/3757] lr: 3.6218e-03 eta: 1 day, 6:21:15 time: 0.3950 data_time: 0.0157 memory: 17007 grad_norm: 8.1004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8574 loss: 1.8574 2022/07/28 14:04:33 - mmengine - INFO - Epoch(train) [107][2900/3757] lr: 3.6218e-03 eta: 1 day, 6:21:07 time: 0.3942 data_time: 0.0148 memory: 17007 grad_norm: 7.9261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6818 loss: 1.6818 2022/07/28 14:04:41 - mmengine - INFO - Epoch(train) [107][2920/3757] lr: 3.6218e-03 eta: 1 day, 6:21:00 time: 0.4048 data_time: 0.0179 memory: 17007 grad_norm: 8.2734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6546 loss: 1.6546 2022/07/28 14:04:49 - mmengine - INFO - Epoch(train) [107][2940/3757] lr: 3.6218e-03 eta: 1 day, 6:20:52 time: 0.3947 data_time: 0.0151 memory: 17007 grad_norm: 8.2890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7916 loss: 1.7916 2022/07/28 14:04:57 - mmengine - INFO - Epoch(train) [107][2960/3757] lr: 3.6218e-03 eta: 1 day, 6:20:44 time: 0.4274 data_time: 0.0172 memory: 17007 grad_norm: 8.0622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8574 loss: 1.8574 2022/07/28 14:05:05 - mmengine - INFO - Epoch(train) [107][2980/3757] lr: 3.6218e-03 eta: 1 day, 6:20:36 time: 0.3943 data_time: 0.0145 memory: 17007 grad_norm: 8.5400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0554 loss: 2.0554 2022/07/28 14:05:13 - mmengine - INFO - Epoch(train) [107][3000/3757] lr: 3.6218e-03 eta: 1 day, 6:20:28 time: 0.3991 data_time: 0.0157 memory: 17007 grad_norm: 8.0727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/07/28 14:05:22 - mmengine - INFO - Epoch(train) [107][3020/3757] lr: 3.6218e-03 eta: 1 day, 6:20:21 time: 0.4297 data_time: 0.0135 memory: 17007 grad_norm: 8.0859 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8944 loss: 1.8944 2022/07/28 14:05:30 - mmengine - INFO - Epoch(train) [107][3040/3757] lr: 3.6218e-03 eta: 1 day, 6:20:13 time: 0.3949 data_time: 0.0153 memory: 17007 grad_norm: 7.8803 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9137 loss: 1.9137 2022/07/28 14:05:39 - mmengine - INFO - Epoch(train) [107][3060/3757] lr: 3.6218e-03 eta: 1 day, 6:20:05 time: 0.4366 data_time: 0.0159 memory: 17007 grad_norm: 8.5365 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7248 loss: 1.7248 2022/07/28 14:05:46 - mmengine - INFO - Epoch(train) [107][3080/3757] lr: 3.6218e-03 eta: 1 day, 6:19:57 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 8.1318 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8529 loss: 1.8529 2022/07/28 14:05:54 - mmengine - INFO - Epoch(train) [107][3100/3757] lr: 3.6218e-03 eta: 1 day, 6:19:49 time: 0.3957 data_time: 0.0154 memory: 17007 grad_norm: 8.1553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9827 loss: 1.9827 2022/07/28 14:06:02 - mmengine - INFO - Epoch(train) [107][3120/3757] lr: 3.6218e-03 eta: 1 day, 6:19:41 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 8.5589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9740 loss: 1.9740 2022/07/28 14:06:10 - mmengine - INFO - Epoch(train) [107][3140/3757] lr: 3.6218e-03 eta: 1 day, 6:19:33 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 8.5500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9051 loss: 1.9051 2022/07/28 14:06:18 - mmengine - INFO - Epoch(train) [107][3160/3757] lr: 3.6218e-03 eta: 1 day, 6:19:26 time: 0.4067 data_time: 0.0165 memory: 17007 grad_norm: 8.2788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9107 loss: 1.9107 2022/07/28 14:06:26 - mmengine - INFO - Epoch(train) [107][3180/3757] lr: 3.6218e-03 eta: 1 day, 6:19:18 time: 0.3944 data_time: 0.0133 memory: 17007 grad_norm: 8.5086 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7949 loss: 1.7949 2022/07/28 14:06:35 - mmengine - INFO - Epoch(train) [107][3200/3757] lr: 3.6218e-03 eta: 1 day, 6:19:10 time: 0.4124 data_time: 0.0181 memory: 17007 grad_norm: 7.8242 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6636 loss: 1.6636 2022/07/28 14:06:42 - mmengine - INFO - Epoch(train) [107][3220/3757] lr: 3.6218e-03 eta: 1 day, 6:19:02 time: 0.3939 data_time: 0.0141 memory: 17007 grad_norm: 7.7532 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.7586 loss: 1.7586 2022/07/28 14:06:50 - mmengine - INFO - Epoch(train) [107][3240/3757] lr: 3.6218e-03 eta: 1 day, 6:18:54 time: 0.3943 data_time: 0.0155 memory: 17007 grad_norm: 8.4405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7270 loss: 1.7270 2022/07/28 14:06:58 - mmengine - INFO - Epoch(train) [107][3260/3757] lr: 3.6218e-03 eta: 1 day, 6:18:46 time: 0.4089 data_time: 0.0158 memory: 17007 grad_norm: 8.1887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7984 loss: 1.7984 2022/07/28 14:07:06 - mmengine - INFO - Epoch(train) [107][3280/3757] lr: 3.6218e-03 eta: 1 day, 6:18:38 time: 0.3954 data_time: 0.0149 memory: 17007 grad_norm: 8.1320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8214 loss: 1.8214 2022/07/28 14:07:15 - mmengine - INFO - Epoch(train) [107][3300/3757] lr: 3.6218e-03 eta: 1 day, 6:18:30 time: 0.4038 data_time: 0.0163 memory: 17007 grad_norm: 8.1891 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7773 loss: 1.7773 2022/07/28 14:07:22 - mmengine - INFO - Epoch(train) [107][3320/3757] lr: 3.6218e-03 eta: 1 day, 6:18:22 time: 0.3945 data_time: 0.0147 memory: 17007 grad_norm: 8.0323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7887 loss: 1.7887 2022/07/28 14:07:30 - mmengine - INFO - Epoch(train) [107][3340/3757] lr: 3.6218e-03 eta: 1 day, 6:18:14 time: 0.3970 data_time: 0.0148 memory: 17007 grad_norm: 8.1251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6496 loss: 1.6496 2022/07/28 14:07:38 - mmengine - INFO - Epoch(train) [107][3360/3757] lr: 3.6218e-03 eta: 1 day, 6:18:06 time: 0.4017 data_time: 0.0160 memory: 17007 grad_norm: 7.7144 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9325 loss: 1.9325 2022/07/28 14:07:46 - mmengine - INFO - Epoch(train) [107][3380/3757] lr: 3.6218e-03 eta: 1 day, 6:17:59 time: 0.4006 data_time: 0.0169 memory: 17007 grad_norm: 8.1594 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9603 loss: 1.9603 2022/07/28 14:07:54 - mmengine - INFO - Epoch(train) [107][3400/3757] lr: 3.6218e-03 eta: 1 day, 6:17:51 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 8.3420 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6144 loss: 1.6144 2022/07/28 14:08:02 - mmengine - INFO - Epoch(train) [107][3420/3757] lr: 3.6218e-03 eta: 1 day, 6:17:43 time: 0.3965 data_time: 0.0154 memory: 17007 grad_norm: 8.3013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7103 loss: 1.7103 2022/07/28 14:08:10 - mmengine - INFO - Epoch(train) [107][3440/3757] lr: 3.6218e-03 eta: 1 day, 6:17:35 time: 0.3953 data_time: 0.0158 memory: 17007 grad_norm: 8.3618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7325 loss: 1.7325 2022/07/28 14:08:18 - mmengine - INFO - Epoch(train) [107][3460/3757] lr: 3.6218e-03 eta: 1 day, 6:17:27 time: 0.4001 data_time: 0.0160 memory: 17007 grad_norm: 8.6476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7606 loss: 1.7606 2022/07/28 14:08:26 - mmengine - INFO - Epoch(train) [107][3480/3757] lr: 3.6218e-03 eta: 1 day, 6:17:19 time: 0.3959 data_time: 0.0159 memory: 17007 grad_norm: 8.5831 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6261 loss: 1.6261 2022/07/28 14:08:34 - mmengine - INFO - Epoch(train) [107][3500/3757] lr: 3.6218e-03 eta: 1 day, 6:17:11 time: 0.4077 data_time: 0.0151 memory: 17007 grad_norm: 8.3361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8725 loss: 1.8725 2022/07/28 14:08:42 - mmengine - INFO - Epoch(train) [107][3520/3757] lr: 3.6218e-03 eta: 1 day, 6:17:03 time: 0.3955 data_time: 0.0164 memory: 17007 grad_norm: 8.0470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6829 loss: 1.6829 2022/07/28 14:08:50 - mmengine - INFO - Epoch(train) [107][3540/3757] lr: 3.6218e-03 eta: 1 day, 6:16:55 time: 0.3927 data_time: 0.0144 memory: 17007 grad_norm: 8.3877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9590 loss: 1.9590 2022/07/28 14:08:58 - mmengine - INFO - Epoch(train) [107][3560/3757] lr: 3.6218e-03 eta: 1 day, 6:16:47 time: 0.4030 data_time: 0.0168 memory: 17007 grad_norm: 8.2361 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6325 loss: 1.6325 2022/07/28 14:09:06 - mmengine - INFO - Epoch(train) [107][3580/3757] lr: 3.6218e-03 eta: 1 day, 6:16:39 time: 0.3926 data_time: 0.0133 memory: 17007 grad_norm: 8.3683 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8933 loss: 1.8933 2022/07/28 14:09:14 - mmengine - INFO - Epoch(train) [107][3600/3757] lr: 3.6218e-03 eta: 1 day, 6:16:31 time: 0.3979 data_time: 0.0166 memory: 17007 grad_norm: 7.9747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6682 loss: 1.6682 2022/07/28 14:09:22 - mmengine - INFO - Epoch(train) [107][3620/3757] lr: 3.6218e-03 eta: 1 day, 6:16:23 time: 0.3951 data_time: 0.0144 memory: 17007 grad_norm: 8.0962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7956 loss: 1.7956 2022/07/28 14:09:30 - mmengine - INFO - Epoch(train) [107][3640/3757] lr: 3.6218e-03 eta: 1 day, 6:16:15 time: 0.3945 data_time: 0.0152 memory: 17007 grad_norm: 8.6093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8159 loss: 1.8159 2022/07/28 14:09:38 - mmengine - INFO - Epoch(train) [107][3660/3757] lr: 3.6218e-03 eta: 1 day, 6:16:07 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 8.5467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0704 loss: 2.0704 2022/07/28 14:09:46 - mmengine - INFO - Epoch(train) [107][3680/3757] lr: 3.6218e-03 eta: 1 day, 6:15:59 time: 0.3946 data_time: 0.0155 memory: 17007 grad_norm: 8.2520 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0473 loss: 2.0473 2022/07/28 14:09:54 - mmengine - INFO - Epoch(train) [107][3700/3757] lr: 3.6218e-03 eta: 1 day, 6:15:51 time: 0.3942 data_time: 0.0134 memory: 17007 grad_norm: 8.1226 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7988 loss: 1.7988 2022/07/28 14:10:02 - mmengine - INFO - Epoch(train) [107][3720/3757] lr: 3.6218e-03 eta: 1 day, 6:15:43 time: 0.3974 data_time: 0.0174 memory: 17007 grad_norm: 8.4455 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8422 loss: 1.8422 2022/07/28 14:10:09 - mmengine - INFO - Epoch(train) [107][3740/3757] lr: 3.6218e-03 eta: 1 day, 6:15:35 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 8.0739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6067 loss: 1.6067 2022/07/28 14:10:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:10:16 - mmengine - INFO - Epoch(train) [107][3757/3757] lr: 3.6218e-03 eta: 1 day, 6:15:35 time: 0.3986 data_time: 0.0201 memory: 17007 grad_norm: 7.8972 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.8573 loss: 1.8573 2022/07/28 14:10:16 - mmengine - INFO - Saving checkpoint at 107 epochs 2022/07/28 14:10:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:10:28 - mmengine - INFO - Epoch(train) [108][20/3757] lr: 3.5381e-03 eta: 1 day, 6:15:17 time: 0.4410 data_time: 0.0629 memory: 17007 grad_norm: 8.0367 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6672 loss: 1.6672 2022/07/28 14:10:37 - mmengine - INFO - Epoch(train) [108][40/3757] lr: 3.5381e-03 eta: 1 day, 6:15:09 time: 0.4143 data_time: 0.0177 memory: 17007 grad_norm: 8.0513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9394 loss: 1.9394 2022/07/28 14:10:44 - mmengine - INFO - Epoch(train) [108][60/3757] lr: 3.5381e-03 eta: 1 day, 6:15:01 time: 0.3937 data_time: 0.0147 memory: 17007 grad_norm: 7.8377 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3941 loss: 1.3941 2022/07/28 14:10:52 - mmengine - INFO - Epoch(train) [108][80/3757] lr: 3.5381e-03 eta: 1 day, 6:14:53 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 8.1990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4985 loss: 1.4985 2022/07/28 14:11:00 - mmengine - INFO - Epoch(train) [108][100/3757] lr: 3.5381e-03 eta: 1 day, 6:14:45 time: 0.4033 data_time: 0.0140 memory: 17007 grad_norm: 7.9866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7908 loss: 1.7908 2022/07/28 14:11:08 - mmengine - INFO - Epoch(train) [108][120/3757] lr: 3.5381e-03 eta: 1 day, 6:14:37 time: 0.3965 data_time: 0.0163 memory: 17007 grad_norm: 8.1265 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8423 loss: 1.8423 2022/07/28 14:11:17 - mmengine - INFO - Epoch(train) [108][140/3757] lr: 3.5381e-03 eta: 1 day, 6:14:29 time: 0.4076 data_time: 0.0150 memory: 17007 grad_norm: 8.0925 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7164 loss: 1.7164 2022/07/28 14:11:24 - mmengine - INFO - Epoch(train) [108][160/3757] lr: 3.5381e-03 eta: 1 day, 6:14:21 time: 0.3957 data_time: 0.0159 memory: 17007 grad_norm: 8.2876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6365 loss: 1.6365 2022/07/28 14:11:32 - mmengine - INFO - Epoch(train) [108][180/3757] lr: 3.5381e-03 eta: 1 day, 6:14:13 time: 0.3921 data_time: 0.0130 memory: 17007 grad_norm: 8.0979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5012 loss: 1.5012 2022/07/28 14:11:40 - mmengine - INFO - Epoch(train) [108][200/3757] lr: 3.5381e-03 eta: 1 day, 6:14:06 time: 0.4009 data_time: 0.0178 memory: 17007 grad_norm: 8.3469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7801 loss: 1.7801 2022/07/28 14:11:48 - mmengine - INFO - Epoch(train) [108][220/3757] lr: 3.5381e-03 eta: 1 day, 6:13:58 time: 0.3963 data_time: 0.0156 memory: 17007 grad_norm: 7.8493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7116 loss: 1.7116 2022/07/28 14:11:56 - mmengine - INFO - Epoch(train) [108][240/3757] lr: 3.5381e-03 eta: 1 day, 6:13:50 time: 0.4008 data_time: 0.0166 memory: 17007 grad_norm: 7.8715 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7603 loss: 1.7603 2022/07/28 14:12:04 - mmengine - INFO - Epoch(train) [108][260/3757] lr: 3.5381e-03 eta: 1 day, 6:13:42 time: 0.3937 data_time: 0.0144 memory: 17007 grad_norm: 8.1730 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9437 loss: 1.9437 2022/07/28 14:12:12 - mmengine - INFO - Epoch(train) [108][280/3757] lr: 3.5381e-03 eta: 1 day, 6:13:34 time: 0.3974 data_time: 0.0170 memory: 17007 grad_norm: 8.4860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6260 loss: 1.6260 2022/07/28 14:12:20 - mmengine - INFO - Epoch(train) [108][300/3757] lr: 3.5381e-03 eta: 1 day, 6:13:26 time: 0.3950 data_time: 0.0144 memory: 17007 grad_norm: 7.6790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7465 loss: 1.7465 2022/07/28 14:12:28 - mmengine - INFO - Epoch(train) [108][320/3757] lr: 3.5381e-03 eta: 1 day, 6:13:18 time: 0.3987 data_time: 0.0168 memory: 17007 grad_norm: 7.8643 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3217 loss: 1.3217 2022/07/28 14:12:36 - mmengine - INFO - Epoch(train) [108][340/3757] lr: 3.5381e-03 eta: 1 day, 6:13:10 time: 0.3944 data_time: 0.0141 memory: 17007 grad_norm: 8.2912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5819 loss: 1.5819 2022/07/28 14:12:44 - mmengine - INFO - Epoch(train) [108][360/3757] lr: 3.5381e-03 eta: 1 day, 6:13:02 time: 0.3960 data_time: 0.0157 memory: 17007 grad_norm: 8.0274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8791 loss: 1.8791 2022/07/28 14:12:52 - mmengine - INFO - Epoch(train) [108][380/3757] lr: 3.5381e-03 eta: 1 day, 6:12:54 time: 0.3949 data_time: 0.0135 memory: 17007 grad_norm: 8.0788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6008 loss: 1.6008 2022/07/28 14:13:00 - mmengine - INFO - Epoch(train) [108][400/3757] lr: 3.5381e-03 eta: 1 day, 6:12:46 time: 0.3967 data_time: 0.0163 memory: 17007 grad_norm: 8.4534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9037 loss: 1.9037 2022/07/28 14:13:08 - mmengine - INFO - Epoch(train) [108][420/3757] lr: 3.5381e-03 eta: 1 day, 6:12:38 time: 0.3953 data_time: 0.0150 memory: 17007 grad_norm: 8.8027 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9432 loss: 1.9432 2022/07/28 14:13:16 - mmengine - INFO - Epoch(train) [108][440/3757] lr: 3.5381e-03 eta: 1 day, 6:12:30 time: 0.4143 data_time: 0.0167 memory: 17007 grad_norm: 8.6659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0886 loss: 2.0886 2022/07/28 14:13:24 - mmengine - INFO - Epoch(train) [108][460/3757] lr: 3.5381e-03 eta: 1 day, 6:12:22 time: 0.3931 data_time: 0.0140 memory: 17007 grad_norm: 8.1498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9557 loss: 1.9557 2022/07/28 14:13:32 - mmengine - INFO - Epoch(train) [108][480/3757] lr: 3.5381e-03 eta: 1 day, 6:12:14 time: 0.3966 data_time: 0.0175 memory: 17007 grad_norm: 8.0123 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8445 loss: 1.8445 2022/07/28 14:13:40 - mmengine - INFO - Epoch(train) [108][500/3757] lr: 3.5381e-03 eta: 1 day, 6:12:06 time: 0.3971 data_time: 0.0155 memory: 17007 grad_norm: 8.0495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8649 loss: 1.8649 2022/07/28 14:13:48 - mmengine - INFO - Epoch(train) [108][520/3757] lr: 3.5381e-03 eta: 1 day, 6:11:58 time: 0.3959 data_time: 0.0162 memory: 17007 grad_norm: 8.0457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7586 loss: 1.7586 2022/07/28 14:13:56 - mmengine - INFO - Epoch(train) [108][540/3757] lr: 3.5381e-03 eta: 1 day, 6:11:51 time: 0.4010 data_time: 0.0146 memory: 17007 grad_norm: 8.1168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0238 loss: 2.0238 2022/07/28 14:14:04 - mmengine - INFO - Epoch(train) [108][560/3757] lr: 3.5381e-03 eta: 1 day, 6:11:43 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 8.0890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8858 loss: 1.8858 2022/07/28 14:14:12 - mmengine - INFO - Epoch(train) [108][580/3757] lr: 3.5381e-03 eta: 1 day, 6:11:35 time: 0.3952 data_time: 0.0139 memory: 17007 grad_norm: 8.3029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7929 loss: 1.7929 2022/07/28 14:14:20 - mmengine - INFO - Epoch(train) [108][600/3757] lr: 3.5381e-03 eta: 1 day, 6:11:27 time: 0.3976 data_time: 0.0166 memory: 17007 grad_norm: 7.8274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7412 loss: 1.7412 2022/07/28 14:14:28 - mmengine - INFO - Epoch(train) [108][620/3757] lr: 3.5381e-03 eta: 1 day, 6:11:19 time: 0.4001 data_time: 0.0149 memory: 17007 grad_norm: 8.6487 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9719 loss: 1.9719 2022/07/28 14:14:36 - mmengine - INFO - Epoch(train) [108][640/3757] lr: 3.5381e-03 eta: 1 day, 6:11:11 time: 0.3974 data_time: 0.0171 memory: 17007 grad_norm: 8.1237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9036 loss: 1.9036 2022/07/28 14:14:43 - mmengine - INFO - Epoch(train) [108][660/3757] lr: 3.5381e-03 eta: 1 day, 6:11:03 time: 0.3938 data_time: 0.0143 memory: 17007 grad_norm: 7.7275 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4811 loss: 1.4811 2022/07/28 14:14:51 - mmengine - INFO - Epoch(train) [108][680/3757] lr: 3.5381e-03 eta: 1 day, 6:10:55 time: 0.3965 data_time: 0.0162 memory: 17007 grad_norm: 8.1478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7493 loss: 1.7493 2022/07/28 14:14:59 - mmengine - INFO - Epoch(train) [108][700/3757] lr: 3.5381e-03 eta: 1 day, 6:10:47 time: 0.3992 data_time: 0.0162 memory: 17007 grad_norm: 8.3080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6186 loss: 1.6186 2022/07/28 14:15:07 - mmengine - INFO - Epoch(train) [108][720/3757] lr: 3.5381e-03 eta: 1 day, 6:10:39 time: 0.3971 data_time: 0.0151 memory: 17007 grad_norm: 8.1943 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9048 loss: 1.9048 2022/07/28 14:15:16 - mmengine - INFO - Epoch(train) [108][740/3757] lr: 3.5381e-03 eta: 1 day, 6:10:31 time: 0.4115 data_time: 0.0154 memory: 17007 grad_norm: 8.2916 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8409 loss: 1.8409 2022/07/28 14:15:23 - mmengine - INFO - Epoch(train) [108][760/3757] lr: 3.5381e-03 eta: 1 day, 6:10:23 time: 0.3947 data_time: 0.0163 memory: 17007 grad_norm: 8.3402 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0533 loss: 2.0533 2022/07/28 14:15:31 - mmengine - INFO - Epoch(train) [108][780/3757] lr: 3.5381e-03 eta: 1 day, 6:10:15 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 7.9047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7674 loss: 1.7674 2022/07/28 14:15:39 - mmengine - INFO - Epoch(train) [108][800/3757] lr: 3.5381e-03 eta: 1 day, 6:10:07 time: 0.3998 data_time: 0.0167 memory: 17007 grad_norm: 8.1761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7909 loss: 1.7909 2022/07/28 14:15:47 - mmengine - INFO - Epoch(train) [108][820/3757] lr: 3.5381e-03 eta: 1 day, 6:10:00 time: 0.3948 data_time: 0.0137 memory: 17007 grad_norm: 8.1660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7907 loss: 1.7907 2022/07/28 14:15:55 - mmengine - INFO - Epoch(train) [108][840/3757] lr: 3.5381e-03 eta: 1 day, 6:09:52 time: 0.3961 data_time: 0.0165 memory: 17007 grad_norm: 8.3047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8853 loss: 1.8853 2022/07/28 14:16:03 - mmengine - INFO - Epoch(train) [108][860/3757] lr: 3.5381e-03 eta: 1 day, 6:09:44 time: 0.3935 data_time: 0.0134 memory: 17007 grad_norm: 8.5281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7960 loss: 1.7960 2022/07/28 14:16:11 - mmengine - INFO - Epoch(train) [108][880/3757] lr: 3.5381e-03 eta: 1 day, 6:09:36 time: 0.4030 data_time: 0.0156 memory: 17007 grad_norm: 7.9355 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6824 loss: 1.6824 2022/07/28 14:16:19 - mmengine - INFO - Epoch(train) [108][900/3757] lr: 3.5381e-03 eta: 1 day, 6:09:28 time: 0.4067 data_time: 0.0171 memory: 17007 grad_norm: 8.2063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6990 loss: 1.6990 2022/07/28 14:16:27 - mmengine - INFO - Epoch(train) [108][920/3757] lr: 3.5381e-03 eta: 1 day, 6:09:20 time: 0.3958 data_time: 0.0173 memory: 17007 grad_norm: 7.8939 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5843 loss: 1.5843 2022/07/28 14:16:36 - mmengine - INFO - Epoch(train) [108][940/3757] lr: 3.5381e-03 eta: 1 day, 6:09:12 time: 0.4219 data_time: 0.0149 memory: 17007 grad_norm: 8.0654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6007 loss: 1.6007 2022/07/28 14:16:44 - mmengine - INFO - Epoch(train) [108][960/3757] lr: 3.5381e-03 eta: 1 day, 6:09:04 time: 0.3951 data_time: 0.0152 memory: 17007 grad_norm: 7.9311 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7719 loss: 1.7719 2022/07/28 14:16:52 - mmengine - INFO - Epoch(train) [108][980/3757] lr: 3.5381e-03 eta: 1 day, 6:08:56 time: 0.3947 data_time: 0.0139 memory: 17007 grad_norm: 8.2078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9012 loss: 1.9012 2022/07/28 14:17:00 - mmengine - INFO - Epoch(train) [108][1000/3757] lr: 3.5381e-03 eta: 1 day, 6:08:48 time: 0.3983 data_time: 0.0161 memory: 17007 grad_norm: 8.4245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7326 loss: 1.7326 2022/07/28 14:17:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:17:07 - mmengine - INFO - Epoch(train) [108][1020/3757] lr: 3.5381e-03 eta: 1 day, 6:08:40 time: 0.3946 data_time: 0.0128 memory: 17007 grad_norm: 8.6485 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0302 loss: 2.0302 2022/07/28 14:17:15 - mmengine - INFO - Epoch(train) [108][1040/3757] lr: 3.5381e-03 eta: 1 day, 6:08:33 time: 0.3997 data_time: 0.0163 memory: 17007 grad_norm: 8.1988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8830 loss: 1.8830 2022/07/28 14:17:23 - mmengine - INFO - Epoch(train) [108][1060/3757] lr: 3.5381e-03 eta: 1 day, 6:08:25 time: 0.3941 data_time: 0.0130 memory: 17007 grad_norm: 8.3821 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8854 loss: 1.8854 2022/07/28 14:17:31 - mmengine - INFO - Epoch(train) [108][1080/3757] lr: 3.5381e-03 eta: 1 day, 6:08:17 time: 0.3954 data_time: 0.0156 memory: 17007 grad_norm: 8.1894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7059 loss: 1.7059 2022/07/28 14:17:39 - mmengine - INFO - Epoch(train) [108][1100/3757] lr: 3.5381e-03 eta: 1 day, 6:08:09 time: 0.4060 data_time: 0.0147 memory: 17007 grad_norm: 8.5496 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7329 loss: 1.7329 2022/07/28 14:17:47 - mmengine - INFO - Epoch(train) [108][1120/3757] lr: 3.5381e-03 eta: 1 day, 6:08:01 time: 0.3968 data_time: 0.0170 memory: 17007 grad_norm: 8.3461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7230 loss: 1.7230 2022/07/28 14:17:55 - mmengine - INFO - Epoch(train) [108][1140/3757] lr: 3.5381e-03 eta: 1 day, 6:07:53 time: 0.4027 data_time: 0.0152 memory: 17007 grad_norm: 8.3059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5786 loss: 1.5786 2022/07/28 14:18:03 - mmengine - INFO - Epoch(train) [108][1160/3757] lr: 3.5381e-03 eta: 1 day, 6:07:45 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 8.3290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7253 loss: 1.7253 2022/07/28 14:18:11 - mmengine - INFO - Epoch(train) [108][1180/3757] lr: 3.5381e-03 eta: 1 day, 6:07:37 time: 0.3959 data_time: 0.0159 memory: 17007 grad_norm: 8.1481 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7290 loss: 1.7290 2022/07/28 14:18:19 - mmengine - INFO - Epoch(train) [108][1200/3757] lr: 3.5381e-03 eta: 1 day, 6:07:29 time: 0.3973 data_time: 0.0146 memory: 17007 grad_norm: 8.0772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7270 loss: 1.7270 2022/07/28 14:18:27 - mmengine - INFO - Epoch(train) [108][1220/3757] lr: 3.5381e-03 eta: 1 day, 6:07:21 time: 0.3956 data_time: 0.0154 memory: 17007 grad_norm: 8.3650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8632 loss: 1.8632 2022/07/28 14:18:35 - mmengine - INFO - Epoch(train) [108][1240/3757] lr: 3.5381e-03 eta: 1 day, 6:07:13 time: 0.4084 data_time: 0.0160 memory: 17007 grad_norm: 8.9464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7271 loss: 1.7271 2022/07/28 14:18:43 - mmengine - INFO - Epoch(train) [108][1260/3757] lr: 3.5381e-03 eta: 1 day, 6:07:05 time: 0.3934 data_time: 0.0130 memory: 17007 grad_norm: 8.3057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8391 loss: 1.8391 2022/07/28 14:18:51 - mmengine - INFO - Epoch(train) [108][1280/3757] lr: 3.5381e-03 eta: 1 day, 6:06:57 time: 0.3968 data_time: 0.0167 memory: 17007 grad_norm: 8.0893 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4917 loss: 1.4917 2022/07/28 14:18:59 - mmengine - INFO - Epoch(train) [108][1300/3757] lr: 3.5381e-03 eta: 1 day, 6:06:49 time: 0.3973 data_time: 0.0158 memory: 17007 grad_norm: 8.5091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0359 loss: 2.0359 2022/07/28 14:19:07 - mmengine - INFO - Epoch(train) [108][1320/3757] lr: 3.5381e-03 eta: 1 day, 6:06:41 time: 0.3976 data_time: 0.0169 memory: 17007 grad_norm: 8.2192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6788 loss: 1.6788 2022/07/28 14:19:15 - mmengine - INFO - Epoch(train) [108][1340/3757] lr: 3.5381e-03 eta: 1 day, 6:06:34 time: 0.4059 data_time: 0.0154 memory: 17007 grad_norm: 8.1983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8453 loss: 1.8453 2022/07/28 14:19:23 - mmengine - INFO - Epoch(train) [108][1360/3757] lr: 3.5381e-03 eta: 1 day, 6:06:26 time: 0.3955 data_time: 0.0153 memory: 17007 grad_norm: 8.1111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8308 loss: 1.8308 2022/07/28 14:19:31 - mmengine - INFO - Epoch(train) [108][1380/3757] lr: 3.5381e-03 eta: 1 day, 6:06:18 time: 0.3935 data_time: 0.0145 memory: 17007 grad_norm: 8.6324 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9159 loss: 1.9159 2022/07/28 14:19:39 - mmengine - INFO - Epoch(train) [108][1400/3757] lr: 3.5381e-03 eta: 1 day, 6:06:10 time: 0.3985 data_time: 0.0153 memory: 17007 grad_norm: 8.3800 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0535 loss: 2.0535 2022/07/28 14:19:47 - mmengine - INFO - Epoch(train) [108][1420/3757] lr: 3.5381e-03 eta: 1 day, 6:06:02 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 8.5701 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9689 loss: 1.9689 2022/07/28 14:19:55 - mmengine - INFO - Epoch(train) [108][1440/3757] lr: 3.5381e-03 eta: 1 day, 6:05:54 time: 0.3988 data_time: 0.0164 memory: 17007 grad_norm: 7.8807 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7434 loss: 1.7434 2022/07/28 14:20:03 - mmengine - INFO - Epoch(train) [108][1460/3757] lr: 3.5381e-03 eta: 1 day, 6:05:46 time: 0.3963 data_time: 0.0130 memory: 17007 grad_norm: 8.1597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8139 loss: 1.8139 2022/07/28 14:20:11 - mmengine - INFO - Epoch(train) [108][1480/3757] lr: 3.5381e-03 eta: 1 day, 6:05:38 time: 0.3976 data_time: 0.0168 memory: 17007 grad_norm: 8.1638 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8127 loss: 1.8127 2022/07/28 14:20:19 - mmengine - INFO - Epoch(train) [108][1500/3757] lr: 3.5381e-03 eta: 1 day, 6:05:30 time: 0.4177 data_time: 0.0156 memory: 17007 grad_norm: 8.3891 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0506 loss: 2.0506 2022/07/28 14:20:27 - mmengine - INFO - Epoch(train) [108][1520/3757] lr: 3.5381e-03 eta: 1 day, 6:05:22 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 7.9138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9311 loss: 1.9311 2022/07/28 14:20:35 - mmengine - INFO - Epoch(train) [108][1540/3757] lr: 3.5381e-03 eta: 1 day, 6:05:14 time: 0.4000 data_time: 0.0131 memory: 17007 grad_norm: 8.2471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6115 loss: 1.6115 2022/07/28 14:20:43 - mmengine - INFO - Epoch(train) [108][1560/3757] lr: 3.5381e-03 eta: 1 day, 6:05:07 time: 0.3954 data_time: 0.0159 memory: 17007 grad_norm: 8.2136 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7851 loss: 1.7851 2022/07/28 14:20:51 - mmengine - INFO - Epoch(train) [108][1580/3757] lr: 3.5381e-03 eta: 1 day, 6:04:59 time: 0.3945 data_time: 0.0138 memory: 17007 grad_norm: 8.2078 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0850 loss: 2.0850 2022/07/28 14:20:59 - mmengine - INFO - Epoch(train) [108][1600/3757] lr: 3.5381e-03 eta: 1 day, 6:04:51 time: 0.4008 data_time: 0.0161 memory: 17007 grad_norm: 8.3243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3551 loss: 1.3551 2022/07/28 14:21:07 - mmengine - INFO - Epoch(train) [108][1620/3757] lr: 3.5381e-03 eta: 1 day, 6:04:43 time: 0.3973 data_time: 0.0151 memory: 17007 grad_norm: 8.0639 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7002 loss: 1.7002 2022/07/28 14:21:15 - mmengine - INFO - Epoch(train) [108][1640/3757] lr: 3.5381e-03 eta: 1 day, 6:04:35 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 8.1145 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7393 loss: 1.7393 2022/07/28 14:21:23 - mmengine - INFO - Epoch(train) [108][1660/3757] lr: 3.5381e-03 eta: 1 day, 6:04:27 time: 0.3947 data_time: 0.0140 memory: 17007 grad_norm: 7.9458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9324 loss: 1.9324 2022/07/28 14:21:31 - mmengine - INFO - Epoch(train) [108][1680/3757] lr: 3.5381e-03 eta: 1 day, 6:04:19 time: 0.4032 data_time: 0.0172 memory: 17007 grad_norm: 8.3314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6631 loss: 1.6631 2022/07/28 14:21:39 - mmengine - INFO - Epoch(train) [108][1700/3757] lr: 3.5381e-03 eta: 1 day, 6:04:11 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 8.1343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8005 loss: 1.8005 2022/07/28 14:21:47 - mmengine - INFO - Epoch(train) [108][1720/3757] lr: 3.5381e-03 eta: 1 day, 6:04:03 time: 0.4012 data_time: 0.0169 memory: 17007 grad_norm: 8.2229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9298 loss: 1.9298 2022/07/28 14:21:55 - mmengine - INFO - Epoch(train) [108][1740/3757] lr: 3.5381e-03 eta: 1 day, 6:03:55 time: 0.3936 data_time: 0.0148 memory: 17007 grad_norm: 8.2290 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1048 loss: 2.1048 2022/07/28 14:22:03 - mmengine - INFO - Epoch(train) [108][1760/3757] lr: 3.5381e-03 eta: 1 day, 6:03:47 time: 0.3951 data_time: 0.0152 memory: 17007 grad_norm: 8.0268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7368 loss: 1.7368 2022/07/28 14:22:11 - mmengine - INFO - Epoch(train) [108][1780/3757] lr: 3.5381e-03 eta: 1 day, 6:03:39 time: 0.3999 data_time: 0.0176 memory: 17007 grad_norm: 8.2123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7289 loss: 1.7289 2022/07/28 14:22:18 - mmengine - INFO - Epoch(train) [108][1800/3757] lr: 3.5381e-03 eta: 1 day, 6:03:31 time: 0.3952 data_time: 0.0151 memory: 17007 grad_norm: 7.9430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5585 loss: 1.5585 2022/07/28 14:22:26 - mmengine - INFO - Epoch(train) [108][1820/3757] lr: 3.5381e-03 eta: 1 day, 6:03:23 time: 0.3952 data_time: 0.0153 memory: 17007 grad_norm: 8.0458 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6554 loss: 1.6554 2022/07/28 14:22:34 - mmengine - INFO - Epoch(train) [108][1840/3757] lr: 3.5381e-03 eta: 1 day, 6:03:15 time: 0.3949 data_time: 0.0155 memory: 17007 grad_norm: 8.4534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2198 loss: 2.2198 2022/07/28 14:22:42 - mmengine - INFO - Epoch(train) [108][1860/3757] lr: 3.5381e-03 eta: 1 day, 6:03:07 time: 0.4019 data_time: 0.0138 memory: 17007 grad_norm: 7.9155 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7830 loss: 1.7830 2022/07/28 14:22:50 - mmengine - INFO - Epoch(train) [108][1880/3757] lr: 3.5381e-03 eta: 1 day, 6:02:59 time: 0.4029 data_time: 0.0174 memory: 17007 grad_norm: 8.0535 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6067 loss: 1.6067 2022/07/28 14:22:59 - mmengine - INFO - Epoch(train) [108][1900/3757] lr: 3.5381e-03 eta: 1 day, 6:02:52 time: 0.4102 data_time: 0.0146 memory: 17007 grad_norm: 7.9177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0944 loss: 2.0944 2022/07/28 14:23:07 - mmengine - INFO - Epoch(train) [108][1920/3757] lr: 3.5381e-03 eta: 1 day, 6:02:44 time: 0.3986 data_time: 0.0164 memory: 17007 grad_norm: 7.8454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4732 loss: 1.4732 2022/07/28 14:23:15 - mmengine - INFO - Epoch(train) [108][1940/3757] lr: 3.5381e-03 eta: 1 day, 6:02:36 time: 0.3951 data_time: 0.0150 memory: 17007 grad_norm: 8.0268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9036 loss: 1.9036 2022/07/28 14:23:23 - mmengine - INFO - Epoch(train) [108][1960/3757] lr: 3.5381e-03 eta: 1 day, 6:02:28 time: 0.3970 data_time: 0.0161 memory: 17007 grad_norm: 8.3450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6409 loss: 1.6409 2022/07/28 14:23:30 - mmengine - INFO - Epoch(train) [108][1980/3757] lr: 3.5381e-03 eta: 1 day, 6:02:20 time: 0.3958 data_time: 0.0146 memory: 17007 grad_norm: 8.3622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6705 loss: 1.6705 2022/07/28 14:23:38 - mmengine - INFO - Epoch(train) [108][2000/3757] lr: 3.5381e-03 eta: 1 day, 6:02:12 time: 0.4004 data_time: 0.0152 memory: 17007 grad_norm: 8.1876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6682 loss: 1.6682 2022/07/28 14:23:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:23:46 - mmengine - INFO - Epoch(train) [108][2020/3757] lr: 3.5381e-03 eta: 1 day, 6:02:04 time: 0.3958 data_time: 0.0148 memory: 17007 grad_norm: 8.3854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8247 loss: 1.8247 2022/07/28 14:23:54 - mmengine - INFO - Epoch(train) [108][2040/3757] lr: 3.5381e-03 eta: 1 day, 6:01:56 time: 0.3941 data_time: 0.0161 memory: 17007 grad_norm: 8.3547 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1619 loss: 2.1619 2022/07/28 14:24:02 - mmengine - INFO - Epoch(train) [108][2060/3757] lr: 3.5381e-03 eta: 1 day, 6:01:48 time: 0.3960 data_time: 0.0142 memory: 17007 grad_norm: 7.9698 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0602 loss: 2.0602 2022/07/28 14:24:10 - mmengine - INFO - Epoch(train) [108][2080/3757] lr: 3.5381e-03 eta: 1 day, 6:01:40 time: 0.4040 data_time: 0.0224 memory: 17007 grad_norm: 8.1719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5365 loss: 1.5365 2022/07/28 14:24:18 - mmengine - INFO - Epoch(train) [108][2100/3757] lr: 3.5381e-03 eta: 1 day, 6:01:32 time: 0.3958 data_time: 0.0159 memory: 17007 grad_norm: 8.1787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9339 loss: 1.9339 2022/07/28 14:24:26 - mmengine - INFO - Epoch(train) [108][2120/3757] lr: 3.5381e-03 eta: 1 day, 6:01:24 time: 0.3997 data_time: 0.0163 memory: 17007 grad_norm: 8.1144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9548 loss: 1.9548 2022/07/28 14:24:34 - mmengine - INFO - Epoch(train) [108][2140/3757] lr: 3.5381e-03 eta: 1 day, 6:01:16 time: 0.3957 data_time: 0.0146 memory: 17007 grad_norm: 8.1445 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0631 loss: 2.0631 2022/07/28 14:24:42 - mmengine - INFO - Epoch(train) [108][2160/3757] lr: 3.5381e-03 eta: 1 day, 6:01:08 time: 0.3965 data_time: 0.0155 memory: 17007 grad_norm: 8.1826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7911 loss: 1.7911 2022/07/28 14:24:50 - mmengine - INFO - Epoch(train) [108][2180/3757] lr: 3.5381e-03 eta: 1 day, 6:01:01 time: 0.3952 data_time: 0.0144 memory: 17007 grad_norm: 8.2236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8418 loss: 1.8418 2022/07/28 14:24:58 - mmengine - INFO - Epoch(train) [108][2200/3757] lr: 3.5381e-03 eta: 1 day, 6:00:53 time: 0.3954 data_time: 0.0159 memory: 17007 grad_norm: 8.3891 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8502 loss: 1.8502 2022/07/28 14:25:06 - mmengine - INFO - Epoch(train) [108][2220/3757] lr: 3.5381e-03 eta: 1 day, 6:00:45 time: 0.3962 data_time: 0.0157 memory: 17007 grad_norm: 8.1411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7145 loss: 1.7145 2022/07/28 14:25:14 - mmengine - INFO - Epoch(train) [108][2240/3757] lr: 3.5381e-03 eta: 1 day, 6:00:37 time: 0.3976 data_time: 0.0161 memory: 17007 grad_norm: 8.3061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7225 loss: 1.7225 2022/07/28 14:25:22 - mmengine - INFO - Epoch(train) [108][2260/3757] lr: 3.5381e-03 eta: 1 day, 6:00:29 time: 0.3942 data_time: 0.0138 memory: 17007 grad_norm: 8.3392 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8028 loss: 1.8028 2022/07/28 14:25:30 - mmengine - INFO - Epoch(train) [108][2280/3757] lr: 3.5381e-03 eta: 1 day, 6:00:21 time: 0.3973 data_time: 0.0172 memory: 17007 grad_norm: 7.9674 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9185 loss: 1.9185 2022/07/28 14:25:38 - mmengine - INFO - Epoch(train) [108][2300/3757] lr: 3.5381e-03 eta: 1 day, 6:00:13 time: 0.3954 data_time: 0.0133 memory: 17007 grad_norm: 8.4995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9366 loss: 1.9366 2022/07/28 14:25:46 - mmengine - INFO - Epoch(train) [108][2320/3757] lr: 3.5381e-03 eta: 1 day, 6:00:05 time: 0.4014 data_time: 0.0152 memory: 17007 grad_norm: 8.1816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4269 loss: 1.4269 2022/07/28 14:25:54 - mmengine - INFO - Epoch(train) [108][2340/3757] lr: 3.5381e-03 eta: 1 day, 5:59:57 time: 0.3958 data_time: 0.0136 memory: 17007 grad_norm: 7.8695 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0019 loss: 2.0019 2022/07/28 14:26:02 - mmengine - INFO - Epoch(train) [108][2360/3757] lr: 3.5381e-03 eta: 1 day, 5:59:49 time: 0.3961 data_time: 0.0151 memory: 17007 grad_norm: 8.2547 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7269 loss: 1.7269 2022/07/28 14:26:10 - mmengine - INFO - Epoch(train) [108][2380/3757] lr: 3.5381e-03 eta: 1 day, 5:59:41 time: 0.4051 data_time: 0.0152 memory: 17007 grad_norm: 8.1138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7373 loss: 1.7373 2022/07/28 14:26:18 - mmengine - INFO - Epoch(train) [108][2400/3757] lr: 3.5381e-03 eta: 1 day, 5:59:33 time: 0.3961 data_time: 0.0163 memory: 17007 grad_norm: 8.3754 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9434 loss: 1.9434 2022/07/28 14:26:26 - mmengine - INFO - Epoch(train) [108][2420/3757] lr: 3.5381e-03 eta: 1 day, 5:59:25 time: 0.4101 data_time: 0.0127 memory: 17007 grad_norm: 8.4594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9264 loss: 1.9264 2022/07/28 14:26:34 - mmengine - INFO - Epoch(train) [108][2440/3757] lr: 3.5381e-03 eta: 1 day, 5:59:17 time: 0.3945 data_time: 0.0159 memory: 17007 grad_norm: 8.1188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7887 loss: 1.7887 2022/07/28 14:26:42 - mmengine - INFO - Epoch(train) [108][2460/3757] lr: 3.5381e-03 eta: 1 day, 5:59:10 time: 0.4041 data_time: 0.0175 memory: 17007 grad_norm: 8.2660 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9544 loss: 1.9544 2022/07/28 14:26:50 - mmengine - INFO - Epoch(train) [108][2480/3757] lr: 3.5381e-03 eta: 1 day, 5:59:02 time: 0.3942 data_time: 0.0158 memory: 17007 grad_norm: 8.1977 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6311 loss: 1.6311 2022/07/28 14:26:58 - mmengine - INFO - Epoch(train) [108][2500/3757] lr: 3.5381e-03 eta: 1 day, 5:58:54 time: 0.3953 data_time: 0.0155 memory: 17007 grad_norm: 8.3439 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/07/28 14:27:06 - mmengine - INFO - Epoch(train) [108][2520/3757] lr: 3.5381e-03 eta: 1 day, 5:58:46 time: 0.3978 data_time: 0.0162 memory: 17007 grad_norm: 8.3577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9152 loss: 1.9152 2022/07/28 14:27:14 - mmengine - INFO - Epoch(train) [108][2540/3757] lr: 3.5381e-03 eta: 1 day, 5:58:38 time: 0.3951 data_time: 0.0155 memory: 17007 grad_norm: 7.9188 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8296 loss: 1.8296 2022/07/28 14:27:22 - mmengine - INFO - Epoch(train) [108][2560/3757] lr: 3.5381e-03 eta: 1 day, 5:58:30 time: 0.4004 data_time: 0.0169 memory: 17007 grad_norm: 8.2691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7629 loss: 1.7629 2022/07/28 14:27:29 - mmengine - INFO - Epoch(train) [108][2580/3757] lr: 3.5381e-03 eta: 1 day, 5:58:22 time: 0.3952 data_time: 0.0151 memory: 17007 grad_norm: 8.1648 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0803 loss: 2.0803 2022/07/28 14:27:38 - mmengine - INFO - Epoch(train) [108][2600/3757] lr: 3.5381e-03 eta: 1 day, 5:58:14 time: 0.4095 data_time: 0.0170 memory: 17007 grad_norm: 8.1850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8057 loss: 1.8057 2022/07/28 14:27:46 - mmengine - INFO - Epoch(train) [108][2620/3757] lr: 3.5381e-03 eta: 1 day, 5:58:06 time: 0.3945 data_time: 0.0148 memory: 17007 grad_norm: 8.0547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5879 loss: 1.5879 2022/07/28 14:27:53 - mmengine - INFO - Epoch(train) [108][2640/3757] lr: 3.5381e-03 eta: 1 day, 5:57:58 time: 0.3956 data_time: 0.0162 memory: 17007 grad_norm: 7.9113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9500 loss: 1.9500 2022/07/28 14:28:02 - mmengine - INFO - Epoch(train) [108][2660/3757] lr: 3.5381e-03 eta: 1 day, 5:57:51 time: 0.4254 data_time: 0.0177 memory: 17007 grad_norm: 8.2751 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8989 loss: 1.8989 2022/07/28 14:28:10 - mmengine - INFO - Epoch(train) [108][2680/3757] lr: 3.5381e-03 eta: 1 day, 5:57:43 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 8.3367 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6121 loss: 1.6121 2022/07/28 14:28:18 - mmengine - INFO - Epoch(train) [108][2700/3757] lr: 3.5381e-03 eta: 1 day, 5:57:35 time: 0.4119 data_time: 0.0146 memory: 17007 grad_norm: 8.1579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7204 loss: 1.7204 2022/07/28 14:28:26 - mmengine - INFO - Epoch(train) [108][2720/3757] lr: 3.5381e-03 eta: 1 day, 5:57:27 time: 0.3971 data_time: 0.0159 memory: 17007 grad_norm: 8.3854 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8382 loss: 1.8382 2022/07/28 14:28:34 - mmengine - INFO - Epoch(train) [108][2740/3757] lr: 3.5381e-03 eta: 1 day, 5:57:19 time: 0.3933 data_time: 0.0139 memory: 17007 grad_norm: 8.0619 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0667 loss: 2.0667 2022/07/28 14:28:43 - mmengine - INFO - Epoch(train) [108][2760/3757] lr: 3.5381e-03 eta: 1 day, 5:57:11 time: 0.4292 data_time: 0.0170 memory: 17007 grad_norm: 8.4680 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6223 loss: 1.6223 2022/07/28 14:28:50 - mmengine - INFO - Epoch(train) [108][2780/3757] lr: 3.5381e-03 eta: 1 day, 5:57:03 time: 0.3940 data_time: 0.0140 memory: 17007 grad_norm: 8.3438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9402 loss: 1.9402 2022/07/28 14:28:59 - mmengine - INFO - Epoch(train) [108][2800/3757] lr: 3.5381e-03 eta: 1 day, 5:56:56 time: 0.4340 data_time: 0.0165 memory: 17007 grad_norm: 8.0622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8787 loss: 1.8787 2022/07/28 14:29:07 - mmengine - INFO - Epoch(train) [108][2820/3757] lr: 3.5381e-03 eta: 1 day, 5:56:48 time: 0.3940 data_time: 0.0143 memory: 17007 grad_norm: 8.4740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0280 loss: 2.0280 2022/07/28 14:29:15 - mmengine - INFO - Epoch(train) [108][2840/3757] lr: 3.5381e-03 eta: 1 day, 5:56:40 time: 0.3948 data_time: 0.0148 memory: 17007 grad_norm: 8.0141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8797 loss: 1.8797 2022/07/28 14:29:24 - mmengine - INFO - Epoch(train) [108][2860/3757] lr: 3.5381e-03 eta: 1 day, 5:56:33 time: 0.4434 data_time: 0.0137 memory: 17007 grad_norm: 8.0950 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0634 loss: 2.0634 2022/07/28 14:29:32 - mmengine - INFO - Epoch(train) [108][2880/3757] lr: 3.5381e-03 eta: 1 day, 5:56:25 time: 0.3956 data_time: 0.0160 memory: 17007 grad_norm: 8.5408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8624 loss: 1.8624 2022/07/28 14:29:40 - mmengine - INFO - Epoch(train) [108][2900/3757] lr: 3.5381e-03 eta: 1 day, 5:56:17 time: 0.3986 data_time: 0.0146 memory: 17007 grad_norm: 8.3756 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7648 loss: 1.7648 2022/07/28 14:29:48 - mmengine - INFO - Epoch(train) [108][2920/3757] lr: 3.5381e-03 eta: 1 day, 5:56:09 time: 0.3951 data_time: 0.0158 memory: 17007 grad_norm: 8.2054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7188 loss: 1.7188 2022/07/28 14:29:56 - mmengine - INFO - Epoch(train) [108][2940/3757] lr: 3.5381e-03 eta: 1 day, 5:56:01 time: 0.3998 data_time: 0.0136 memory: 17007 grad_norm: 8.4968 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9436 loss: 1.9436 2022/07/28 14:30:04 - mmengine - INFO - Epoch(train) [108][2960/3757] lr: 3.5381e-03 eta: 1 day, 5:55:53 time: 0.3974 data_time: 0.0165 memory: 17007 grad_norm: 7.8924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/07/28 14:30:12 - mmengine - INFO - Epoch(train) [108][2980/3757] lr: 3.5381e-03 eta: 1 day, 5:55:45 time: 0.3934 data_time: 0.0148 memory: 17007 grad_norm: 7.9087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7615 loss: 1.7615 2022/07/28 14:30:20 - mmengine - INFO - Epoch(train) [108][3000/3757] lr: 3.5381e-03 eta: 1 day, 5:55:37 time: 0.4006 data_time: 0.0183 memory: 17007 grad_norm: 8.2724 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0341 loss: 2.0341 2022/07/28 14:30:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:30:28 - mmengine - INFO - Epoch(train) [108][3020/3757] lr: 3.5381e-03 eta: 1 day, 5:55:29 time: 0.3957 data_time: 0.0146 memory: 17007 grad_norm: 8.1303 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5149 loss: 1.5149 2022/07/28 14:30:35 - mmengine - INFO - Epoch(train) [108][3040/3757] lr: 3.5381e-03 eta: 1 day, 5:55:21 time: 0.3954 data_time: 0.0156 memory: 17007 grad_norm: 8.3261 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8404 loss: 1.8404 2022/07/28 14:30:43 - mmengine - INFO - Epoch(train) [108][3060/3757] lr: 3.5381e-03 eta: 1 day, 5:55:13 time: 0.3966 data_time: 0.0152 memory: 17007 grad_norm: 8.7173 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0918 loss: 2.0918 2022/07/28 14:30:51 - mmengine - INFO - Epoch(train) [108][3080/3757] lr: 3.5381e-03 eta: 1 day, 5:55:05 time: 0.3954 data_time: 0.0161 memory: 17007 grad_norm: 8.4498 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6631 loss: 1.6631 2022/07/28 14:30:59 - mmengine - INFO - Epoch(train) [108][3100/3757] lr: 3.5381e-03 eta: 1 day, 5:54:57 time: 0.4057 data_time: 0.0181 memory: 17007 grad_norm: 8.0680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6879 loss: 1.6879 2022/07/28 14:31:07 - mmengine - INFO - Epoch(train) [108][3120/3757] lr: 3.5381e-03 eta: 1 day, 5:54:49 time: 0.3968 data_time: 0.0166 memory: 17007 grad_norm: 8.0721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6712 loss: 1.6712 2022/07/28 14:31:15 - mmengine - INFO - Epoch(train) [108][3140/3757] lr: 3.5381e-03 eta: 1 day, 5:54:41 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 8.2429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9846 loss: 1.9846 2022/07/28 14:31:24 - mmengine - INFO - Epoch(train) [108][3160/3757] lr: 3.5381e-03 eta: 1 day, 5:54:34 time: 0.4107 data_time: 0.0176 memory: 17007 grad_norm: 8.1367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0327 loss: 2.0327 2022/07/28 14:31:31 - mmengine - INFO - Epoch(train) [108][3180/3757] lr: 3.5381e-03 eta: 1 day, 5:54:26 time: 0.3961 data_time: 0.0139 memory: 17007 grad_norm: 8.0594 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5560 loss: 1.5560 2022/07/28 14:31:40 - mmengine - INFO - Epoch(train) [108][3200/3757] lr: 3.5381e-03 eta: 1 day, 5:54:18 time: 0.4106 data_time: 0.0171 memory: 17007 grad_norm: 8.5508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8981 loss: 1.8981 2022/07/28 14:31:48 - mmengine - INFO - Epoch(train) [108][3220/3757] lr: 3.5381e-03 eta: 1 day, 5:54:10 time: 0.3949 data_time: 0.0149 memory: 17007 grad_norm: 8.1532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7175 loss: 1.7175 2022/07/28 14:31:55 - mmengine - INFO - Epoch(train) [108][3240/3757] lr: 3.5381e-03 eta: 1 day, 5:54:02 time: 0.3957 data_time: 0.0156 memory: 17007 grad_norm: 8.5957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7955 loss: 1.7955 2022/07/28 14:32:04 - mmengine - INFO - Epoch(train) [108][3260/3757] lr: 3.5381e-03 eta: 1 day, 5:53:54 time: 0.4153 data_time: 0.0145 memory: 17007 grad_norm: 8.1943 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0116 loss: 2.0116 2022/07/28 14:32:12 - mmengine - INFO - Epoch(train) [108][3280/3757] lr: 3.5381e-03 eta: 1 day, 5:53:46 time: 0.3947 data_time: 0.0155 memory: 17007 grad_norm: 8.4266 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8788 loss: 1.8788 2022/07/28 14:32:20 - mmengine - INFO - Epoch(train) [108][3300/3757] lr: 3.5381e-03 eta: 1 day, 5:53:39 time: 0.4087 data_time: 0.0158 memory: 17007 grad_norm: 8.3914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6647 loss: 1.6647 2022/07/28 14:32:28 - mmengine - INFO - Epoch(train) [108][3320/3757] lr: 3.5381e-03 eta: 1 day, 5:53:31 time: 0.3952 data_time: 0.0163 memory: 17007 grad_norm: 8.4970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7947 loss: 1.7947 2022/07/28 14:32:36 - mmengine - INFO - Epoch(train) [108][3340/3757] lr: 3.5381e-03 eta: 1 day, 5:53:23 time: 0.3948 data_time: 0.0147 memory: 17007 grad_norm: 8.1713 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4284 loss: 1.4284 2022/07/28 14:32:44 - mmengine - INFO - Epoch(train) [108][3360/3757] lr: 3.5381e-03 eta: 1 day, 5:53:15 time: 0.4100 data_time: 0.0187 memory: 17007 grad_norm: 8.4158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7871 loss: 1.7871 2022/07/28 14:32:52 - mmengine - INFO - Epoch(train) [108][3380/3757] lr: 3.5381e-03 eta: 1 day, 5:53:07 time: 0.3936 data_time: 0.0134 memory: 17007 grad_norm: 8.3020 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9023 loss: 1.9023 2022/07/28 14:33:00 - mmengine - INFO - Epoch(train) [108][3400/3757] lr: 3.5381e-03 eta: 1 day, 5:52:59 time: 0.4045 data_time: 0.0189 memory: 17007 grad_norm: 8.2245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8454 loss: 1.8454 2022/07/28 14:33:08 - mmengine - INFO - Epoch(train) [108][3420/3757] lr: 3.5381e-03 eta: 1 day, 5:52:51 time: 0.3942 data_time: 0.0141 memory: 17007 grad_norm: 8.5358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9267 loss: 1.9267 2022/07/28 14:33:16 - mmengine - INFO - Epoch(train) [108][3440/3757] lr: 3.5381e-03 eta: 1 day, 5:52:43 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 8.6028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9916 loss: 1.9916 2022/07/28 14:33:24 - mmengine - INFO - Epoch(train) [108][3460/3757] lr: 3.5381e-03 eta: 1 day, 5:52:35 time: 0.4110 data_time: 0.0136 memory: 17007 grad_norm: 8.3684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8438 loss: 1.8438 2022/07/28 14:33:32 - mmengine - INFO - Epoch(train) [108][3480/3757] lr: 3.5381e-03 eta: 1 day, 5:52:27 time: 0.3952 data_time: 0.0155 memory: 17007 grad_norm: 8.4356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0338 loss: 2.0338 2022/07/28 14:33:40 - mmengine - INFO - Epoch(train) [108][3500/3757] lr: 3.5381e-03 eta: 1 day, 5:52:20 time: 0.4125 data_time: 0.0152 memory: 17007 grad_norm: 8.3372 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8938 loss: 1.8938 2022/07/28 14:33:48 - mmengine - INFO - Epoch(train) [108][3520/3757] lr: 3.5381e-03 eta: 1 day, 5:52:12 time: 0.3957 data_time: 0.0168 memory: 17007 grad_norm: 8.2835 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4251 loss: 1.4251 2022/07/28 14:33:56 - mmengine - INFO - Epoch(train) [108][3540/3757] lr: 3.5381e-03 eta: 1 day, 5:52:04 time: 0.3977 data_time: 0.0139 memory: 17007 grad_norm: 8.5138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7459 loss: 1.7459 2022/07/28 14:34:04 - mmengine - INFO - Epoch(train) [108][3560/3757] lr: 3.5381e-03 eta: 1 day, 5:51:56 time: 0.4018 data_time: 0.0162 memory: 17007 grad_norm: 8.0386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8248 loss: 1.8248 2022/07/28 14:34:12 - mmengine - INFO - Epoch(train) [108][3580/3757] lr: 3.5381e-03 eta: 1 day, 5:51:48 time: 0.3935 data_time: 0.0134 memory: 17007 grad_norm: 8.2770 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6457 loss: 1.6457 2022/07/28 14:34:20 - mmengine - INFO - Epoch(train) [108][3600/3757] lr: 3.5381e-03 eta: 1 day, 5:51:40 time: 0.4004 data_time: 0.0172 memory: 17007 grad_norm: 8.5388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6652 loss: 1.6652 2022/07/28 14:34:28 - mmengine - INFO - Epoch(train) [108][3620/3757] lr: 3.5381e-03 eta: 1 day, 5:51:32 time: 0.4001 data_time: 0.0132 memory: 17007 grad_norm: 8.3903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7445 loss: 1.7445 2022/07/28 14:34:36 - mmengine - INFO - Epoch(train) [108][3640/3757] lr: 3.5381e-03 eta: 1 day, 5:51:24 time: 0.3963 data_time: 0.0163 memory: 17007 grad_norm: 8.3238 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8630 loss: 1.8630 2022/07/28 14:34:44 - mmengine - INFO - Epoch(train) [108][3660/3757] lr: 3.5381e-03 eta: 1 day, 5:51:16 time: 0.3953 data_time: 0.0152 memory: 17007 grad_norm: 8.3906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7931 loss: 1.7931 2022/07/28 14:34:52 - mmengine - INFO - Epoch(train) [108][3680/3757] lr: 3.5381e-03 eta: 1 day, 5:51:08 time: 0.4084 data_time: 0.0169 memory: 17007 grad_norm: 8.4079 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7501 loss: 1.7501 2022/07/28 14:35:00 - mmengine - INFO - Epoch(train) [108][3700/3757] lr: 3.5381e-03 eta: 1 day, 5:51:00 time: 0.3949 data_time: 0.0150 memory: 17007 grad_norm: 8.0168 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7763 loss: 1.7763 2022/07/28 14:35:08 - mmengine - INFO - Epoch(train) [108][3720/3757] lr: 3.5381e-03 eta: 1 day, 5:50:52 time: 0.4053 data_time: 0.0177 memory: 17007 grad_norm: 8.2835 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7101 loss: 1.7101 2022/07/28 14:35:16 - mmengine - INFO - Epoch(train) [108][3740/3757] lr: 3.5381e-03 eta: 1 day, 5:50:44 time: 0.3926 data_time: 0.0126 memory: 17007 grad_norm: 8.0933 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4555 loss: 1.4555 2022/07/28 14:35:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:35:23 - mmengine - INFO - Epoch(train) [108][3757/3757] lr: 3.5381e-03 eta: 1 day, 5:50:44 time: 0.3914 data_time: 0.0153 memory: 17007 grad_norm: 8.1889 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5675 loss: 1.5675 2022/07/28 14:35:23 - mmengine - INFO - Saving checkpoint at 108 epochs 2022/07/28 14:35:35 - mmengine - INFO - Epoch(train) [109][20/3757] lr: 3.4549e-03 eta: 1 day, 5:50:26 time: 0.4415 data_time: 0.0613 memory: 17007 grad_norm: 7.9001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7684 loss: 1.7684 2022/07/28 14:35:43 - mmengine - INFO - Epoch(train) [109][40/3757] lr: 3.4549e-03 eta: 1 day, 5:50:18 time: 0.3989 data_time: 0.0162 memory: 17007 grad_norm: 8.1085 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0866 loss: 2.0866 2022/07/28 14:35:51 - mmengine - INFO - Epoch(train) [109][60/3757] lr: 3.4549e-03 eta: 1 day, 5:50:10 time: 0.3938 data_time: 0.0153 memory: 17007 grad_norm: 7.7484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4331 loss: 1.4331 2022/07/28 14:35:59 - mmengine - INFO - Epoch(train) [109][80/3757] lr: 3.4549e-03 eta: 1 day, 5:50:02 time: 0.4047 data_time: 0.0159 memory: 17007 grad_norm: 7.8379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6824 loss: 1.6824 2022/07/28 14:36:07 - mmengine - INFO - Epoch(train) [109][100/3757] lr: 3.4549e-03 eta: 1 day, 5:49:54 time: 0.3959 data_time: 0.0157 memory: 17007 grad_norm: 7.9519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4296 loss: 1.4296 2022/07/28 14:36:15 - mmengine - INFO - Epoch(train) [109][120/3757] lr: 3.4549e-03 eta: 1 day, 5:49:46 time: 0.3933 data_time: 0.0141 memory: 17007 grad_norm: 8.6037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9661 loss: 1.9661 2022/07/28 14:36:23 - mmengine - INFO - Epoch(train) [109][140/3757] lr: 3.4549e-03 eta: 1 day, 5:49:38 time: 0.3984 data_time: 0.0163 memory: 17007 grad_norm: 8.4723 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7429 loss: 1.7429 2022/07/28 14:36:31 - mmengine - INFO - Epoch(train) [109][160/3757] lr: 3.4549e-03 eta: 1 day, 5:49:30 time: 0.3948 data_time: 0.0155 memory: 17007 grad_norm: 8.6190 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6823 loss: 1.6823 2022/07/28 14:36:39 - mmengine - INFO - Epoch(train) [109][180/3757] lr: 3.4549e-03 eta: 1 day, 5:49:22 time: 0.3986 data_time: 0.0170 memory: 17007 grad_norm: 8.0521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6459 loss: 1.6459 2022/07/28 14:36:47 - mmengine - INFO - Epoch(train) [109][200/3757] lr: 3.4549e-03 eta: 1 day, 5:49:14 time: 0.3952 data_time: 0.0164 memory: 17007 grad_norm: 8.4389 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7430 loss: 1.7430 2022/07/28 14:36:55 - mmengine - INFO - Epoch(train) [109][220/3757] lr: 3.4549e-03 eta: 1 day, 5:49:06 time: 0.3933 data_time: 0.0151 memory: 17007 grad_norm: 8.3642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5267 loss: 1.5267 2022/07/28 14:37:03 - mmengine - INFO - Epoch(train) [109][240/3757] lr: 3.4549e-03 eta: 1 day, 5:48:59 time: 0.4052 data_time: 0.0164 memory: 17007 grad_norm: 8.6217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8302 loss: 1.8302 2022/07/28 14:37:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:37:11 - mmengine - INFO - Epoch(train) [109][260/3757] lr: 3.4549e-03 eta: 1 day, 5:48:51 time: 0.3959 data_time: 0.0157 memory: 17007 grad_norm: 8.3114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8171 loss: 1.8171 2022/07/28 14:37:19 - mmengine - INFO - Epoch(train) [109][280/3757] lr: 3.4549e-03 eta: 1 day, 5:48:43 time: 0.4024 data_time: 0.0167 memory: 17007 grad_norm: 8.7540 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7356 loss: 1.7356 2022/07/28 14:37:27 - mmengine - INFO - Epoch(train) [109][300/3757] lr: 3.4549e-03 eta: 1 day, 5:48:35 time: 0.3988 data_time: 0.0157 memory: 17007 grad_norm: 8.3793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8752 loss: 1.8752 2022/07/28 14:37:35 - mmengine - INFO - Epoch(train) [109][320/3757] lr: 3.4549e-03 eta: 1 day, 5:48:27 time: 0.3946 data_time: 0.0152 memory: 17007 grad_norm: 8.4052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9914 loss: 1.9914 2022/07/28 14:37:43 - mmengine - INFO - Epoch(train) [109][340/3757] lr: 3.4549e-03 eta: 1 day, 5:48:19 time: 0.4103 data_time: 0.0149 memory: 17007 grad_norm: 8.1053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9378 loss: 1.9378 2022/07/28 14:37:51 - mmengine - INFO - Epoch(train) [109][360/3757] lr: 3.4549e-03 eta: 1 day, 5:48:11 time: 0.3946 data_time: 0.0150 memory: 17007 grad_norm: 8.1813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6996 loss: 1.6996 2022/07/28 14:37:59 - mmengine - INFO - Epoch(train) [109][380/3757] lr: 3.4549e-03 eta: 1 day, 5:48:03 time: 0.4003 data_time: 0.0162 memory: 17007 grad_norm: 7.9351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9674 loss: 1.9674 2022/07/28 14:38:07 - mmengine - INFO - Epoch(train) [109][400/3757] lr: 3.4549e-03 eta: 1 day, 5:47:55 time: 0.3958 data_time: 0.0158 memory: 17007 grad_norm: 8.3597 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7186 loss: 1.7186 2022/07/28 14:38:15 - mmengine - INFO - Epoch(train) [109][420/3757] lr: 3.4549e-03 eta: 1 day, 5:47:47 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 8.1334 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5838 loss: 1.5838 2022/07/28 14:38:23 - mmengine - INFO - Epoch(train) [109][440/3757] lr: 3.4549e-03 eta: 1 day, 5:47:40 time: 0.4207 data_time: 0.0164 memory: 17007 grad_norm: 8.0301 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6512 loss: 1.6512 2022/07/28 14:38:31 - mmengine - INFO - Epoch(train) [109][460/3757] lr: 3.4549e-03 eta: 1 day, 5:47:32 time: 0.3950 data_time: 0.0153 memory: 17007 grad_norm: 7.9093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9765 loss: 1.9765 2022/07/28 14:38:39 - mmengine - INFO - Epoch(train) [109][480/3757] lr: 3.4549e-03 eta: 1 day, 5:47:24 time: 0.4010 data_time: 0.0168 memory: 17007 grad_norm: 8.2036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6141 loss: 1.6141 2022/07/28 14:38:47 - mmengine - INFO - Epoch(train) [109][500/3757] lr: 3.4549e-03 eta: 1 day, 5:47:16 time: 0.3958 data_time: 0.0155 memory: 17007 grad_norm: 8.4310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7010 loss: 1.7010 2022/07/28 14:38:55 - mmengine - INFO - Epoch(train) [109][520/3757] lr: 3.4549e-03 eta: 1 day, 5:47:08 time: 0.3945 data_time: 0.0154 memory: 17007 grad_norm: 8.2281 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8217 loss: 1.8217 2022/07/28 14:39:03 - mmengine - INFO - Epoch(train) [109][540/3757] lr: 3.4549e-03 eta: 1 day, 5:47:00 time: 0.4073 data_time: 0.0160 memory: 17007 grad_norm: 7.9488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5523 loss: 1.5523 2022/07/28 14:39:11 - mmengine - INFO - Epoch(train) [109][560/3757] lr: 3.4549e-03 eta: 1 day, 5:46:52 time: 0.3961 data_time: 0.0157 memory: 17007 grad_norm: 8.2173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7772 loss: 1.7772 2022/07/28 14:39:19 - mmengine - INFO - Epoch(train) [109][580/3757] lr: 3.4549e-03 eta: 1 day, 5:46:44 time: 0.4012 data_time: 0.0168 memory: 17007 grad_norm: 8.1222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8748 loss: 1.8748 2022/07/28 14:39:27 - mmengine - INFO - Epoch(train) [109][600/3757] lr: 3.4549e-03 eta: 1 day, 5:46:36 time: 0.3976 data_time: 0.0152 memory: 17007 grad_norm: 7.9145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6323 loss: 1.6323 2022/07/28 14:39:35 - mmengine - INFO - Epoch(train) [109][620/3757] lr: 3.4549e-03 eta: 1 day, 5:46:28 time: 0.3950 data_time: 0.0155 memory: 17007 grad_norm: 8.2473 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5700 loss: 1.5700 2022/07/28 14:39:43 - mmengine - INFO - Epoch(train) [109][640/3757] lr: 3.4549e-03 eta: 1 day, 5:46:20 time: 0.3999 data_time: 0.0169 memory: 17007 grad_norm: 8.2389 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6217 loss: 1.6217 2022/07/28 14:39:51 - mmengine - INFO - Epoch(train) [109][660/3757] lr: 3.4549e-03 eta: 1 day, 5:46:12 time: 0.3973 data_time: 0.0160 memory: 17007 grad_norm: 8.0763 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8815 loss: 1.8815 2022/07/28 14:39:59 - mmengine - INFO - Epoch(train) [109][680/3757] lr: 3.4549e-03 eta: 1 day, 5:46:05 time: 0.4077 data_time: 0.0163 memory: 17007 grad_norm: 8.1925 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7985 loss: 1.7985 2022/07/28 14:40:07 - mmengine - INFO - Epoch(train) [109][700/3757] lr: 3.4549e-03 eta: 1 day, 5:45:57 time: 0.3953 data_time: 0.0157 memory: 17007 grad_norm: 8.0356 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8662 loss: 1.8662 2022/07/28 14:40:15 - mmengine - INFO - Epoch(train) [109][720/3757] lr: 3.4549e-03 eta: 1 day, 5:45:49 time: 0.3945 data_time: 0.0156 memory: 17007 grad_norm: 8.6458 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9854 loss: 1.9854 2022/07/28 14:40:23 - mmengine - INFO - Epoch(train) [109][740/3757] lr: 3.4549e-03 eta: 1 day, 5:45:41 time: 0.4144 data_time: 0.0164 memory: 17007 grad_norm: 8.2709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6047 loss: 1.6047 2022/07/28 14:40:31 - mmengine - INFO - Epoch(train) [109][760/3757] lr: 3.4549e-03 eta: 1 day, 5:45:33 time: 0.3952 data_time: 0.0154 memory: 17007 grad_norm: 8.2180 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7617 loss: 1.7617 2022/07/28 14:40:39 - mmengine - INFO - Epoch(train) [109][780/3757] lr: 3.4549e-03 eta: 1 day, 5:45:25 time: 0.4032 data_time: 0.0172 memory: 17007 grad_norm: 8.0686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7973 loss: 1.7973 2022/07/28 14:40:47 - mmengine - INFO - Epoch(train) [109][800/3757] lr: 3.4549e-03 eta: 1 day, 5:45:17 time: 0.3993 data_time: 0.0150 memory: 17007 grad_norm: 8.1230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6327 loss: 1.6327 2022/07/28 14:40:55 - mmengine - INFO - Epoch(train) [109][820/3757] lr: 3.4549e-03 eta: 1 day, 5:45:09 time: 0.3954 data_time: 0.0153 memory: 17007 grad_norm: 8.4676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0769 loss: 2.0769 2022/07/28 14:41:04 - mmengine - INFO - Epoch(train) [109][840/3757] lr: 3.4549e-03 eta: 1 day, 5:45:02 time: 0.4139 data_time: 0.0157 memory: 17007 grad_norm: 8.1235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6924 loss: 1.6924 2022/07/28 14:41:11 - mmengine - INFO - Epoch(train) [109][860/3757] lr: 3.4549e-03 eta: 1 day, 5:44:54 time: 0.3959 data_time: 0.0152 memory: 17007 grad_norm: 8.4329 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5406 loss: 1.5406 2022/07/28 14:41:20 - mmengine - INFO - Epoch(train) [109][880/3757] lr: 3.4549e-03 eta: 1 day, 5:44:46 time: 0.4102 data_time: 0.0155 memory: 17007 grad_norm: 8.0962 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6442 loss: 1.6442 2022/07/28 14:41:28 - mmengine - INFO - Epoch(train) [109][900/3757] lr: 3.4549e-03 eta: 1 day, 5:44:38 time: 0.3962 data_time: 0.0164 memory: 17007 grad_norm: 8.6100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7120 loss: 1.7120 2022/07/28 14:41:36 - mmengine - INFO - Epoch(train) [109][920/3757] lr: 3.4549e-03 eta: 1 day, 5:44:30 time: 0.3944 data_time: 0.0155 memory: 17007 grad_norm: 8.0566 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8431 loss: 1.8431 2022/07/28 14:41:44 - mmengine - INFO - Epoch(train) [109][940/3757] lr: 3.4549e-03 eta: 1 day, 5:44:22 time: 0.4046 data_time: 0.0164 memory: 17007 grad_norm: 8.6391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6951 loss: 1.6951 2022/07/28 14:41:52 - mmengine - INFO - Epoch(train) [109][960/3757] lr: 3.4549e-03 eta: 1 day, 5:44:14 time: 0.3965 data_time: 0.0160 memory: 17007 grad_norm: 8.2930 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7313 loss: 1.7313 2022/07/28 14:42:00 - mmengine - INFO - Epoch(train) [109][980/3757] lr: 3.4549e-03 eta: 1 day, 5:44:06 time: 0.3999 data_time: 0.0151 memory: 17007 grad_norm: 8.6379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6363 loss: 1.6363 2022/07/28 14:42:08 - mmengine - INFO - Epoch(train) [109][1000/3757] lr: 3.4549e-03 eta: 1 day, 5:43:58 time: 0.3957 data_time: 0.0160 memory: 17007 grad_norm: 8.3935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7029 loss: 1.7029 2022/07/28 14:42:15 - mmengine - INFO - Epoch(train) [109][1020/3757] lr: 3.4549e-03 eta: 1 day, 5:43:50 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 8.3767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1126 loss: 2.1126 2022/07/28 14:42:24 - mmengine - INFO - Epoch(train) [109][1040/3757] lr: 3.4549e-03 eta: 1 day, 5:43:42 time: 0.4087 data_time: 0.0156 memory: 17007 grad_norm: 8.3935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6212 loss: 1.6212 2022/07/28 14:42:32 - mmengine - INFO - Epoch(train) [109][1060/3757] lr: 3.4549e-03 eta: 1 day, 5:43:34 time: 0.3958 data_time: 0.0153 memory: 17007 grad_norm: 8.3183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9227 loss: 1.9227 2022/07/28 14:42:39 - mmengine - INFO - Epoch(train) [109][1080/3757] lr: 3.4549e-03 eta: 1 day, 5:43:26 time: 0.3949 data_time: 0.0161 memory: 17007 grad_norm: 8.0126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9594 loss: 1.9594 2022/07/28 14:42:47 - mmengine - INFO - Epoch(train) [109][1100/3757] lr: 3.4549e-03 eta: 1 day, 5:43:18 time: 0.3944 data_time: 0.0152 memory: 17007 grad_norm: 8.0290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7852 loss: 1.7852 2022/07/28 14:42:55 - mmengine - INFO - Epoch(train) [109][1120/3757] lr: 3.4549e-03 eta: 1 day, 5:43:11 time: 0.4012 data_time: 0.0166 memory: 17007 grad_norm: 8.3111 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7146 loss: 1.7146 2022/07/28 14:43:03 - mmengine - INFO - Epoch(train) [109][1140/3757] lr: 3.4549e-03 eta: 1 day, 5:43:03 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 8.4777 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6703 loss: 1.6703 2022/07/28 14:43:11 - mmengine - INFO - Epoch(train) [109][1160/3757] lr: 3.4549e-03 eta: 1 day, 5:42:55 time: 0.3988 data_time: 0.0161 memory: 17007 grad_norm: 8.5882 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7969 loss: 1.7969 2022/07/28 14:43:19 - mmengine - INFO - Epoch(train) [109][1180/3757] lr: 3.4549e-03 eta: 1 day, 5:42:47 time: 0.3986 data_time: 0.0152 memory: 17007 grad_norm: 7.9488 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6748 loss: 1.6748 2022/07/28 14:43:27 - mmengine - INFO - Epoch(train) [109][1200/3757] lr: 3.4549e-03 eta: 1 day, 5:42:39 time: 0.3942 data_time: 0.0141 memory: 17007 grad_norm: 8.2894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6303 loss: 1.6303 2022/07/28 14:43:35 - mmengine - INFO - Epoch(train) [109][1220/3757] lr: 3.4549e-03 eta: 1 day, 5:42:31 time: 0.3948 data_time: 0.0148 memory: 17007 grad_norm: 8.0980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4714 loss: 1.4714 2022/07/28 14:43:43 - mmengine - INFO - Epoch(train) [109][1240/3757] lr: 3.4549e-03 eta: 1 day, 5:42:23 time: 0.4142 data_time: 0.0148 memory: 17007 grad_norm: 8.3164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9110 loss: 1.9110 2022/07/28 14:43:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:43:51 - mmengine - INFO - Epoch(train) [109][1260/3757] lr: 3.4549e-03 eta: 1 day, 5:42:15 time: 0.3965 data_time: 0.0166 memory: 17007 grad_norm: 7.7335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7114 loss: 1.7114 2022/07/28 14:43:59 - mmengine - INFO - Epoch(train) [109][1280/3757] lr: 3.4549e-03 eta: 1 day, 5:42:07 time: 0.3953 data_time: 0.0150 memory: 17007 grad_norm: 8.0009 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8498 loss: 1.8498 2022/07/28 14:44:07 - mmengine - INFO - Epoch(train) [109][1300/3757] lr: 3.4549e-03 eta: 1 day, 5:41:59 time: 0.3956 data_time: 0.0151 memory: 17007 grad_norm: 8.4313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8323 loss: 1.8323 2022/07/28 14:44:15 - mmengine - INFO - Epoch(train) [109][1320/3757] lr: 3.4549e-03 eta: 1 day, 5:41:51 time: 0.3934 data_time: 0.0146 memory: 17007 grad_norm: 7.9827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1153 loss: 2.1153 2022/07/28 14:44:23 - mmengine - INFO - Epoch(train) [109][1340/3757] lr: 3.4549e-03 eta: 1 day, 5:41:43 time: 0.4067 data_time: 0.0143 memory: 17007 grad_norm: 8.6126 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5897 loss: 1.5897 2022/07/28 14:44:31 - mmengine - INFO - Epoch(train) [109][1360/3757] lr: 3.4549e-03 eta: 1 day, 5:41:35 time: 0.3959 data_time: 0.0162 memory: 17007 grad_norm: 8.1997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5995 loss: 1.5995 2022/07/28 14:44:39 - mmengine - INFO - Epoch(train) [109][1380/3757] lr: 3.4549e-03 eta: 1 day, 5:41:28 time: 0.3990 data_time: 0.0150 memory: 17007 grad_norm: 8.2985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6573 loss: 1.6573 2022/07/28 14:44:47 - mmengine - INFO - Epoch(train) [109][1400/3757] lr: 3.4549e-03 eta: 1 day, 5:41:20 time: 0.3937 data_time: 0.0150 memory: 17007 grad_norm: 8.5022 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9262 loss: 1.9262 2022/07/28 14:44:55 - mmengine - INFO - Epoch(train) [109][1420/3757] lr: 3.4549e-03 eta: 1 day, 5:41:12 time: 0.3990 data_time: 0.0161 memory: 17007 grad_norm: 8.3321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6738 loss: 1.6738 2022/07/28 14:45:03 - mmengine - INFO - Epoch(train) [109][1440/3757] lr: 3.4549e-03 eta: 1 day, 5:41:04 time: 0.4021 data_time: 0.0150 memory: 17007 grad_norm: 8.0454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7471 loss: 1.7471 2022/07/28 14:45:11 - mmengine - INFO - Epoch(train) [109][1460/3757] lr: 3.4549e-03 eta: 1 day, 5:40:56 time: 0.3986 data_time: 0.0154 memory: 17007 grad_norm: 8.3986 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8142 loss: 1.8142 2022/07/28 14:45:19 - mmengine - INFO - Epoch(train) [109][1480/3757] lr: 3.4549e-03 eta: 1 day, 5:40:48 time: 0.3953 data_time: 0.0153 memory: 17007 grad_norm: 8.1953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7095 loss: 1.7095 2022/07/28 14:45:27 - mmengine - INFO - Epoch(train) [109][1500/3757] lr: 3.4549e-03 eta: 1 day, 5:40:40 time: 0.3963 data_time: 0.0156 memory: 17007 grad_norm: 8.2763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9027 loss: 1.9027 2022/07/28 14:45:35 - mmengine - INFO - Epoch(train) [109][1520/3757] lr: 3.4549e-03 eta: 1 day, 5:40:32 time: 0.3985 data_time: 0.0162 memory: 17007 grad_norm: 8.4960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7457 loss: 1.7457 2022/07/28 14:45:43 - mmengine - INFO - Epoch(train) [109][1540/3757] lr: 3.4549e-03 eta: 1 day, 5:40:24 time: 0.3935 data_time: 0.0151 memory: 17007 grad_norm: 8.3926 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7891 loss: 1.7891 2022/07/28 14:45:51 - mmengine - INFO - Epoch(train) [109][1560/3757] lr: 3.4549e-03 eta: 1 day, 5:40:16 time: 0.3960 data_time: 0.0159 memory: 17007 grad_norm: 8.2966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8895 loss: 1.8895 2022/07/28 14:45:59 - mmengine - INFO - Epoch(train) [109][1580/3757] lr: 3.4549e-03 eta: 1 day, 5:40:08 time: 0.3955 data_time: 0.0165 memory: 17007 grad_norm: 8.1776 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5625 loss: 1.5625 2022/07/28 14:46:07 - mmengine - INFO - Epoch(train) [109][1600/3757] lr: 3.4549e-03 eta: 1 day, 5:40:00 time: 0.3949 data_time: 0.0148 memory: 17007 grad_norm: 8.1961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7839 loss: 1.7839 2022/07/28 14:46:14 - mmengine - INFO - Epoch(train) [109][1620/3757] lr: 3.4549e-03 eta: 1 day, 5:39:52 time: 0.3976 data_time: 0.0164 memory: 17007 grad_norm: 8.3712 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5646 loss: 1.5646 2022/07/28 14:46:22 - mmengine - INFO - Epoch(train) [109][1640/3757] lr: 3.4549e-03 eta: 1 day, 5:39:44 time: 0.3970 data_time: 0.0159 memory: 17007 grad_norm: 8.4570 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7360 loss: 1.7360 2022/07/28 14:46:30 - mmengine - INFO - Epoch(train) [109][1660/3757] lr: 3.4549e-03 eta: 1 day, 5:39:36 time: 0.3975 data_time: 0.0161 memory: 17007 grad_norm: 7.9740 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5927 loss: 1.5927 2022/07/28 14:46:38 - mmengine - INFO - Epoch(train) [109][1680/3757] lr: 3.4549e-03 eta: 1 day, 5:39:28 time: 0.3956 data_time: 0.0158 memory: 17007 grad_norm: 8.1696 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6962 loss: 1.6962 2022/07/28 14:46:46 - mmengine - INFO - Epoch(train) [109][1700/3757] lr: 3.4549e-03 eta: 1 day, 5:39:20 time: 0.3951 data_time: 0.0154 memory: 17007 grad_norm: 8.4148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8540 loss: 1.8540 2022/07/28 14:46:54 - mmengine - INFO - Epoch(train) [109][1720/3757] lr: 3.4549e-03 eta: 1 day, 5:39:12 time: 0.3980 data_time: 0.0154 memory: 17007 grad_norm: 8.5481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9569 loss: 1.9569 2022/07/28 14:47:02 - mmengine - INFO - Epoch(train) [109][1740/3757] lr: 3.4549e-03 eta: 1 day, 5:39:04 time: 0.3985 data_time: 0.0169 memory: 17007 grad_norm: 8.3110 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6459 loss: 1.6459 2022/07/28 14:47:10 - mmengine - INFO - Epoch(train) [109][1760/3757] lr: 3.4549e-03 eta: 1 day, 5:38:56 time: 0.3952 data_time: 0.0152 memory: 17007 grad_norm: 8.2404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0633 loss: 2.0633 2022/07/28 14:47:18 - mmengine - INFO - Epoch(train) [109][1780/3757] lr: 3.4549e-03 eta: 1 day, 5:38:49 time: 0.3976 data_time: 0.0154 memory: 17007 grad_norm: 8.2242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6383 loss: 1.6383 2022/07/28 14:47:26 - mmengine - INFO - Epoch(train) [109][1800/3757] lr: 3.4549e-03 eta: 1 day, 5:38:41 time: 0.3944 data_time: 0.0156 memory: 17007 grad_norm: 8.2611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0042 loss: 2.0042 2022/07/28 14:47:34 - mmengine - INFO - Epoch(train) [109][1820/3757] lr: 3.4549e-03 eta: 1 day, 5:38:33 time: 0.3948 data_time: 0.0139 memory: 17007 grad_norm: 8.1929 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4403 loss: 1.4403 2022/07/28 14:47:42 - mmengine - INFO - Epoch(train) [109][1840/3757] lr: 3.4549e-03 eta: 1 day, 5:38:25 time: 0.3968 data_time: 0.0171 memory: 17007 grad_norm: 8.5062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6609 loss: 1.6609 2022/07/28 14:47:50 - mmengine - INFO - Epoch(train) [109][1860/3757] lr: 3.4549e-03 eta: 1 day, 5:38:17 time: 0.3966 data_time: 0.0146 memory: 17007 grad_norm: 8.3715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9434 loss: 1.9434 2022/07/28 14:47:58 - mmengine - INFO - Epoch(train) [109][1880/3757] lr: 3.4549e-03 eta: 1 day, 5:38:09 time: 0.3976 data_time: 0.0174 memory: 17007 grad_norm: 8.5957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6249 loss: 1.6249 2022/07/28 14:48:06 - mmengine - INFO - Epoch(train) [109][1900/3757] lr: 3.4549e-03 eta: 1 day, 5:38:01 time: 0.3943 data_time: 0.0152 memory: 17007 grad_norm: 8.1431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6371 loss: 1.6371 2022/07/28 14:48:14 - mmengine - INFO - Epoch(train) [109][1920/3757] lr: 3.4549e-03 eta: 1 day, 5:37:53 time: 0.3997 data_time: 0.0150 memory: 17007 grad_norm: 8.2857 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8204 loss: 1.8204 2022/07/28 14:48:22 - mmengine - INFO - Epoch(train) [109][1940/3757] lr: 3.4549e-03 eta: 1 day, 5:37:45 time: 0.3984 data_time: 0.0168 memory: 17007 grad_norm: 8.1606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4131 loss: 1.4131 2022/07/28 14:48:30 - mmengine - INFO - Epoch(train) [109][1960/3757] lr: 3.4549e-03 eta: 1 day, 5:37:37 time: 0.4009 data_time: 0.0147 memory: 17007 grad_norm: 8.1362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4838 loss: 1.4838 2022/07/28 14:48:38 - mmengine - INFO - Epoch(train) [109][1980/3757] lr: 3.4549e-03 eta: 1 day, 5:37:29 time: 0.3956 data_time: 0.0161 memory: 17007 grad_norm: 8.4694 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8126 loss: 1.8126 2022/07/28 14:48:46 - mmengine - INFO - Epoch(train) [109][2000/3757] lr: 3.4549e-03 eta: 1 day, 5:37:21 time: 0.3955 data_time: 0.0144 memory: 17007 grad_norm: 8.3422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8210 loss: 1.8210 2022/07/28 14:48:53 - mmengine - INFO - Epoch(train) [109][2020/3757] lr: 3.4549e-03 eta: 1 day, 5:37:13 time: 0.3982 data_time: 0.0162 memory: 17007 grad_norm: 8.3660 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6642 loss: 1.6642 2022/07/28 14:49:01 - mmengine - INFO - Epoch(train) [109][2040/3757] lr: 3.4549e-03 eta: 1 day, 5:37:05 time: 0.3969 data_time: 0.0157 memory: 17007 grad_norm: 7.9740 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4526 loss: 1.4526 2022/07/28 14:49:10 - mmengine - INFO - Epoch(train) [109][2060/3757] lr: 3.4549e-03 eta: 1 day, 5:36:57 time: 0.4028 data_time: 0.0171 memory: 17007 grad_norm: 8.2891 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8879 loss: 1.8879 2022/07/28 14:49:17 - mmengine - INFO - Epoch(train) [109][2080/3757] lr: 3.4549e-03 eta: 1 day, 5:36:49 time: 0.3980 data_time: 0.0154 memory: 17007 grad_norm: 8.2194 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7326 loss: 1.7326 2022/07/28 14:49:25 - mmengine - INFO - Epoch(train) [109][2100/3757] lr: 3.4549e-03 eta: 1 day, 5:36:41 time: 0.3948 data_time: 0.0145 memory: 17007 grad_norm: 7.9623 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6976 loss: 1.6976 2022/07/28 14:49:33 - mmengine - INFO - Epoch(train) [109][2120/3757] lr: 3.4549e-03 eta: 1 day, 5:36:33 time: 0.3965 data_time: 0.0149 memory: 17007 grad_norm: 7.9883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8779 loss: 1.8779 2022/07/28 14:49:41 - mmengine - INFO - Epoch(train) [109][2140/3757] lr: 3.4549e-03 eta: 1 day, 5:36:26 time: 0.4022 data_time: 0.0167 memory: 17007 grad_norm: 8.3634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7635 loss: 1.7635 2022/07/28 14:49:49 - mmengine - INFO - Epoch(train) [109][2160/3757] lr: 3.4549e-03 eta: 1 day, 5:36:18 time: 0.3959 data_time: 0.0143 memory: 17007 grad_norm: 8.5151 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6492 loss: 1.6492 2022/07/28 14:49:57 - mmengine - INFO - Epoch(train) [109][2180/3757] lr: 3.4549e-03 eta: 1 day, 5:36:10 time: 0.3941 data_time: 0.0153 memory: 17007 grad_norm: 8.1046 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7723 loss: 1.7723 2022/07/28 14:50:05 - mmengine - INFO - Epoch(train) [109][2200/3757] lr: 3.4549e-03 eta: 1 day, 5:36:02 time: 0.3960 data_time: 0.0160 memory: 17007 grad_norm: 8.6770 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6228 loss: 1.6228 2022/07/28 14:50:13 - mmengine - INFO - Epoch(train) [109][2220/3757] lr: 3.4549e-03 eta: 1 day, 5:35:54 time: 0.3965 data_time: 0.0144 memory: 17007 grad_norm: 8.1449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6773 loss: 1.6773 2022/07/28 14:50:21 - mmengine - INFO - Epoch(train) [109][2240/3757] lr: 3.4549e-03 eta: 1 day, 5:35:46 time: 0.3983 data_time: 0.0176 memory: 17007 grad_norm: 8.5230 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6206 loss: 1.6206 2022/07/28 14:50:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:50:29 - mmengine - INFO - Epoch(train) [109][2260/3757] lr: 3.4549e-03 eta: 1 day, 5:35:38 time: 0.3967 data_time: 0.0164 memory: 17007 grad_norm: 8.3403 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6645 loss: 1.6645 2022/07/28 14:50:37 - mmengine - INFO - Epoch(train) [109][2280/3757] lr: 3.4549e-03 eta: 1 day, 5:35:30 time: 0.3928 data_time: 0.0134 memory: 17007 grad_norm: 8.5955 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6862 loss: 1.6862 2022/07/28 14:50:45 - mmengine - INFO - Epoch(train) [109][2300/3757] lr: 3.4549e-03 eta: 1 day, 5:35:22 time: 0.4075 data_time: 0.0160 memory: 17007 grad_norm: 8.2995 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8117 loss: 1.8117 2022/07/28 14:50:53 - mmengine - INFO - Epoch(train) [109][2320/3757] lr: 3.4549e-03 eta: 1 day, 5:35:14 time: 0.3989 data_time: 0.0158 memory: 17007 grad_norm: 8.3308 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0778 loss: 2.0778 2022/07/28 14:51:01 - mmengine - INFO - Epoch(train) [109][2340/3757] lr: 3.4549e-03 eta: 1 day, 5:35:06 time: 0.4050 data_time: 0.0150 memory: 17007 grad_norm: 8.2726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6127 loss: 1.6127 2022/07/28 14:51:09 - mmengine - INFO - Epoch(train) [109][2360/3757] lr: 3.4549e-03 eta: 1 day, 5:34:58 time: 0.4011 data_time: 0.0167 memory: 17007 grad_norm: 8.1783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7475 loss: 1.7475 2022/07/28 14:51:17 - mmengine - INFO - Epoch(train) [109][2380/3757] lr: 3.4549e-03 eta: 1 day, 5:34:50 time: 0.3955 data_time: 0.0159 memory: 17007 grad_norm: 8.3824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8332 loss: 1.8332 2022/07/28 14:51:25 - mmengine - INFO - Epoch(train) [109][2400/3757] lr: 3.4549e-03 eta: 1 day, 5:34:42 time: 0.3960 data_time: 0.0154 memory: 17007 grad_norm: 8.5081 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9395 loss: 1.9395 2022/07/28 14:51:33 - mmengine - INFO - Epoch(train) [109][2420/3757] lr: 3.4549e-03 eta: 1 day, 5:34:35 time: 0.3987 data_time: 0.0168 memory: 17007 grad_norm: 8.4351 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0145 loss: 2.0145 2022/07/28 14:51:41 - mmengine - INFO - Epoch(train) [109][2440/3757] lr: 3.4549e-03 eta: 1 day, 5:34:27 time: 0.3948 data_time: 0.0158 memory: 17007 grad_norm: 8.5292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8960 loss: 1.8960 2022/07/28 14:51:50 - mmengine - INFO - Epoch(train) [109][2460/3757] lr: 3.4549e-03 eta: 1 day, 5:34:19 time: 0.4470 data_time: 0.0187 memory: 17007 grad_norm: 7.8989 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5787 loss: 1.5787 2022/07/28 14:51:58 - mmengine - INFO - Epoch(train) [109][2480/3757] lr: 3.4549e-03 eta: 1 day, 5:34:11 time: 0.3940 data_time: 0.0155 memory: 17007 grad_norm: 8.3607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6919 loss: 1.6919 2022/07/28 14:52:06 - mmengine - INFO - Epoch(train) [109][2500/3757] lr: 3.4549e-03 eta: 1 day, 5:34:03 time: 0.3967 data_time: 0.0197 memory: 17007 grad_norm: 8.4144 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9789 loss: 1.9789 2022/07/28 14:52:14 - mmengine - INFO - Epoch(train) [109][2520/3757] lr: 3.4549e-03 eta: 1 day, 5:33:56 time: 0.4037 data_time: 0.0158 memory: 17007 grad_norm: 8.6211 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7959 loss: 1.7959 2022/07/28 14:52:22 - mmengine - INFO - Epoch(train) [109][2540/3757] lr: 3.4549e-03 eta: 1 day, 5:33:48 time: 0.4062 data_time: 0.0193 memory: 17007 grad_norm: 8.3643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5532 loss: 1.5532 2022/07/28 14:52:30 - mmengine - INFO - Epoch(train) [109][2560/3757] lr: 3.4549e-03 eta: 1 day, 5:33:40 time: 0.3956 data_time: 0.0150 memory: 17007 grad_norm: 8.9097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8147 loss: 1.8147 2022/07/28 14:52:38 - mmengine - INFO - Epoch(train) [109][2580/3757] lr: 3.4549e-03 eta: 1 day, 5:33:32 time: 0.4015 data_time: 0.0151 memory: 17007 grad_norm: 8.0940 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6398 loss: 1.6398 2022/07/28 14:52:47 - mmengine - INFO - Epoch(train) [109][2600/3757] lr: 3.4549e-03 eta: 1 day, 5:33:24 time: 0.4331 data_time: 0.0146 memory: 17007 grad_norm: 8.6734 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7547 loss: 1.7547 2022/07/28 14:52:55 - mmengine - INFO - Epoch(train) [109][2620/3757] lr: 3.4549e-03 eta: 1 day, 5:33:17 time: 0.4051 data_time: 0.0151 memory: 17007 grad_norm: 8.2818 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9789 loss: 1.9789 2022/07/28 14:53:03 - mmengine - INFO - Epoch(train) [109][2640/3757] lr: 3.4549e-03 eta: 1 day, 5:33:09 time: 0.4337 data_time: 0.0170 memory: 17007 grad_norm: 8.0437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8377 loss: 1.8377 2022/07/28 14:53:11 - mmengine - INFO - Epoch(train) [109][2660/3757] lr: 3.4549e-03 eta: 1 day, 5:33:01 time: 0.3954 data_time: 0.0153 memory: 17007 grad_norm: 8.4202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6878 loss: 1.6878 2022/07/28 14:53:20 - mmengine - INFO - Epoch(train) [109][2680/3757] lr: 3.4549e-03 eta: 1 day, 5:32:53 time: 0.4195 data_time: 0.0176 memory: 17007 grad_norm: 8.6623 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4589 loss: 1.4589 2022/07/28 14:53:28 - mmengine - INFO - Epoch(train) [109][2700/3757] lr: 3.4549e-03 eta: 1 day, 5:32:45 time: 0.3963 data_time: 0.0154 memory: 17007 grad_norm: 8.6139 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8575 loss: 1.8575 2022/07/28 14:53:36 - mmengine - INFO - Epoch(train) [109][2720/3757] lr: 3.4549e-03 eta: 1 day, 5:32:38 time: 0.3940 data_time: 0.0154 memory: 17007 grad_norm: 8.4125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9258 loss: 1.9258 2022/07/28 14:53:44 - mmengine - INFO - Epoch(train) [109][2740/3757] lr: 3.4549e-03 eta: 1 day, 5:32:30 time: 0.4084 data_time: 0.0177 memory: 17007 grad_norm: 8.5547 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6419 loss: 1.6419 2022/07/28 14:53:52 - mmengine - INFO - Epoch(train) [109][2760/3757] lr: 3.4549e-03 eta: 1 day, 5:32:22 time: 0.3961 data_time: 0.0156 memory: 17007 grad_norm: 8.3453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8241 loss: 1.8241 2022/07/28 14:54:00 - mmengine - INFO - Epoch(train) [109][2780/3757] lr: 3.4549e-03 eta: 1 day, 5:32:14 time: 0.4017 data_time: 0.0168 memory: 17007 grad_norm: 8.5465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4786 loss: 1.4786 2022/07/28 14:54:08 - mmengine - INFO - Epoch(train) [109][2800/3757] lr: 3.4549e-03 eta: 1 day, 5:32:06 time: 0.3938 data_time: 0.0149 memory: 17007 grad_norm: 8.8593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7193 loss: 1.7193 2022/07/28 14:54:16 - mmengine - INFO - Epoch(train) [109][2820/3757] lr: 3.4549e-03 eta: 1 day, 5:31:58 time: 0.3944 data_time: 0.0149 memory: 17007 grad_norm: 8.3514 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7439 loss: 1.7439 2022/07/28 14:54:24 - mmengine - INFO - Epoch(train) [109][2840/3757] lr: 3.4549e-03 eta: 1 day, 5:31:50 time: 0.4208 data_time: 0.0177 memory: 17007 grad_norm: 8.2458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5256 loss: 1.5256 2022/07/28 14:54:32 - mmengine - INFO - Epoch(train) [109][2860/3757] lr: 3.4549e-03 eta: 1 day, 5:31:42 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 8.4674 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8864 loss: 1.8864 2022/07/28 14:54:40 - mmengine - INFO - Epoch(train) [109][2880/3757] lr: 3.4549e-03 eta: 1 day, 5:31:35 time: 0.4088 data_time: 0.0172 memory: 17007 grad_norm: 8.2483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6228 loss: 1.6228 2022/07/28 14:54:48 - mmengine - INFO - Epoch(train) [109][2900/3757] lr: 3.4549e-03 eta: 1 day, 5:31:27 time: 0.3943 data_time: 0.0153 memory: 17007 grad_norm: 8.4285 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9143 loss: 1.9143 2022/07/28 14:54:56 - mmengine - INFO - Epoch(train) [109][2920/3757] lr: 3.4549e-03 eta: 1 day, 5:31:19 time: 0.3962 data_time: 0.0156 memory: 17007 grad_norm: 8.3887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8126 loss: 1.8126 2022/07/28 14:55:04 - mmengine - INFO - Epoch(train) [109][2940/3757] lr: 3.4549e-03 eta: 1 day, 5:31:11 time: 0.4044 data_time: 0.0160 memory: 17007 grad_norm: 8.9112 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8834 loss: 1.8834 2022/07/28 14:55:12 - mmengine - INFO - Epoch(train) [109][2960/3757] lr: 3.4549e-03 eta: 1 day, 5:31:03 time: 0.3948 data_time: 0.0143 memory: 17007 grad_norm: 8.4610 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8669 loss: 1.8669 2022/07/28 14:55:20 - mmengine - INFO - Epoch(train) [109][2980/3757] lr: 3.4549e-03 eta: 1 day, 5:30:55 time: 0.4090 data_time: 0.0169 memory: 17007 grad_norm: 8.3770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8117 loss: 1.8117 2022/07/28 14:55:28 - mmengine - INFO - Epoch(train) [109][3000/3757] lr: 3.4549e-03 eta: 1 day, 5:30:47 time: 0.3935 data_time: 0.0144 memory: 17007 grad_norm: 8.4429 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7629 loss: 1.7629 2022/07/28 14:55:36 - mmengine - INFO - Epoch(train) [109][3020/3757] lr: 3.4549e-03 eta: 1 day, 5:30:39 time: 0.3962 data_time: 0.0160 memory: 17007 grad_norm: 8.2783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4647 loss: 1.4647 2022/07/28 14:55:44 - mmengine - INFO - Epoch(train) [109][3040/3757] lr: 3.4549e-03 eta: 1 day, 5:30:31 time: 0.4214 data_time: 0.0170 memory: 17007 grad_norm: 8.2596 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8437 loss: 1.8437 2022/07/28 14:55:52 - mmengine - INFO - Epoch(train) [109][3060/3757] lr: 3.4549e-03 eta: 1 day, 5:30:23 time: 0.3948 data_time: 0.0144 memory: 17007 grad_norm: 8.2436 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1644 loss: 2.1644 2022/07/28 14:56:01 - mmengine - INFO - Epoch(train) [109][3080/3757] lr: 3.4549e-03 eta: 1 day, 5:30:16 time: 0.4213 data_time: 0.0160 memory: 17007 grad_norm: 8.3018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7954 loss: 1.7954 2022/07/28 14:56:09 - mmengine - INFO - Epoch(train) [109][3100/3757] lr: 3.4549e-03 eta: 1 day, 5:30:08 time: 0.3952 data_time: 0.0148 memory: 17007 grad_norm: 8.5074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0258 loss: 2.0258 2022/07/28 14:56:17 - mmengine - INFO - Epoch(train) [109][3120/3757] lr: 3.4549e-03 eta: 1 day, 5:30:00 time: 0.3939 data_time: 0.0146 memory: 17007 grad_norm: 8.2863 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0209 loss: 2.0209 2022/07/28 14:56:25 - mmengine - INFO - Epoch(train) [109][3140/3757] lr: 3.4549e-03 eta: 1 day, 5:29:52 time: 0.4032 data_time: 0.0164 memory: 17007 grad_norm: 8.5529 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8982 loss: 1.8982 2022/07/28 14:56:33 - mmengine - INFO - Epoch(train) [109][3160/3757] lr: 3.4549e-03 eta: 1 day, 5:29:44 time: 0.3944 data_time: 0.0151 memory: 17007 grad_norm: 7.9014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9329 loss: 1.9329 2022/07/28 14:56:41 - mmengine - INFO - Epoch(train) [109][3180/3757] lr: 3.4549e-03 eta: 1 day, 5:29:36 time: 0.4012 data_time: 0.0151 memory: 17007 grad_norm: 8.2571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0206 loss: 2.0206 2022/07/28 14:56:48 - mmengine - INFO - Epoch(train) [109][3200/3757] lr: 3.4549e-03 eta: 1 day, 5:29:28 time: 0.3958 data_time: 0.0149 memory: 17007 grad_norm: 8.0566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6591 loss: 1.6591 2022/07/28 14:56:56 - mmengine - INFO - Epoch(train) [109][3220/3757] lr: 3.4549e-03 eta: 1 day, 5:29:20 time: 0.3943 data_time: 0.0147 memory: 17007 grad_norm: 8.2159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7384 loss: 1.7384 2022/07/28 14:57:04 - mmengine - INFO - Epoch(train) [109][3240/3757] lr: 3.4549e-03 eta: 1 day, 5:29:12 time: 0.4042 data_time: 0.0169 memory: 17007 grad_norm: 8.1923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0417 loss: 2.0417 2022/07/28 14:57:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 14:57:12 - mmengine - INFO - Epoch(train) [109][3260/3757] lr: 3.4549e-03 eta: 1 day, 5:29:04 time: 0.3967 data_time: 0.0157 memory: 17007 grad_norm: 8.3332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9367 loss: 1.9367 2022/07/28 14:57:20 - mmengine - INFO - Epoch(train) [109][3280/3757] lr: 3.4549e-03 eta: 1 day, 5:28:56 time: 0.4017 data_time: 0.0180 memory: 17007 grad_norm: 8.4467 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9710 loss: 1.9710 2022/07/28 14:57:28 - mmengine - INFO - Epoch(train) [109][3300/3757] lr: 3.4549e-03 eta: 1 day, 5:28:48 time: 0.3940 data_time: 0.0153 memory: 17007 grad_norm: 8.1341 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7373 loss: 1.7373 2022/07/28 14:57:36 - mmengine - INFO - Epoch(train) [109][3320/3757] lr: 3.4549e-03 eta: 1 day, 5:28:41 time: 0.3967 data_time: 0.0166 memory: 17007 grad_norm: 8.0908 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8616 loss: 1.8616 2022/07/28 14:57:44 - mmengine - INFO - Epoch(train) [109][3340/3757] lr: 3.4549e-03 eta: 1 day, 5:28:33 time: 0.4030 data_time: 0.0163 memory: 17007 grad_norm: 8.1942 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6676 loss: 1.6676 2022/07/28 14:57:52 - mmengine - INFO - Epoch(train) [109][3360/3757] lr: 3.4549e-03 eta: 1 day, 5:28:25 time: 0.3940 data_time: 0.0152 memory: 17007 grad_norm: 8.4027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8810 loss: 1.8810 2022/07/28 14:58:00 - mmengine - INFO - Epoch(train) [109][3380/3757] lr: 3.4549e-03 eta: 1 day, 5:28:17 time: 0.4013 data_time: 0.0167 memory: 17007 grad_norm: 8.4111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6035 loss: 1.6035 2022/07/28 14:58:08 - mmengine - INFO - Epoch(train) [109][3400/3757] lr: 3.4549e-03 eta: 1 day, 5:28:09 time: 0.3938 data_time: 0.0140 memory: 17007 grad_norm: 8.3864 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8076 loss: 1.8076 2022/07/28 14:58:16 - mmengine - INFO - Epoch(train) [109][3420/3757] lr: 3.4549e-03 eta: 1 day, 5:28:01 time: 0.3957 data_time: 0.0158 memory: 17007 grad_norm: 8.1303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8423 loss: 1.8423 2022/07/28 14:58:26 - mmengine - INFO - Epoch(train) [109][3440/3757] lr: 3.4549e-03 eta: 1 day, 5:27:54 time: 0.4868 data_time: 0.0176 memory: 17007 grad_norm: 8.5906 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9455 loss: 1.9455 2022/07/28 14:58:34 - mmengine - INFO - Epoch(train) [109][3460/3757] lr: 3.4549e-03 eta: 1 day, 5:27:46 time: 0.4001 data_time: 0.0132 memory: 17007 grad_norm: 8.4655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6573 loss: 1.6573 2022/07/28 14:58:45 - mmengine - INFO - Epoch(train) [109][3480/3757] lr: 3.4549e-03 eta: 1 day, 5:27:40 time: 0.5327 data_time: 0.0144 memory: 17007 grad_norm: 8.5119 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0472 loss: 2.0472 2022/07/28 14:58:54 - mmengine - INFO - Epoch(train) [109][3500/3757] lr: 3.4549e-03 eta: 1 day, 5:27:33 time: 0.4662 data_time: 0.0205 memory: 17007 grad_norm: 8.4435 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8208 loss: 1.8208 2022/07/28 14:59:11 - mmengine - INFO - Epoch(train) [109][3520/3757] lr: 3.4549e-03 eta: 1 day, 5:27:31 time: 0.8762 data_time: 0.0157 memory: 17007 grad_norm: 8.6708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8913 loss: 1.8913 2022/07/28 14:59:21 - mmengine - INFO - Epoch(train) [109][3540/3757] lr: 3.4549e-03 eta: 1 day, 5:27:25 time: 0.4924 data_time: 0.0153 memory: 17007 grad_norm: 8.3864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8000 loss: 1.8000 2022/07/28 14:59:31 - mmengine - INFO - Epoch(train) [109][3560/3757] lr: 3.4549e-03 eta: 1 day, 5:27:18 time: 0.5053 data_time: 0.0179 memory: 17007 grad_norm: 8.4598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9118 loss: 1.9118 2022/07/28 14:59:44 - mmengine - INFO - Epoch(train) [109][3580/3757] lr: 3.4549e-03 eta: 1 day, 5:27:13 time: 0.6330 data_time: 0.0160 memory: 17007 grad_norm: 8.4915 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7041 loss: 1.7041 2022/07/28 14:59:54 - mmengine - INFO - Epoch(train) [109][3600/3757] lr: 3.4549e-03 eta: 1 day, 5:27:06 time: 0.4732 data_time: 0.0492 memory: 17007 grad_norm: 8.5254 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6470 loss: 1.6470 2022/07/28 15:00:10 - mmengine - INFO - Epoch(train) [109][3620/3757] lr: 3.4549e-03 eta: 1 day, 5:27:03 time: 0.7977 data_time: 0.0139 memory: 17007 grad_norm: 8.3537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6185 loss: 1.6185 2022/07/28 15:00:21 - mmengine - INFO - Epoch(train) [109][3640/3757] lr: 3.4549e-03 eta: 1 day, 5:26:58 time: 0.5747 data_time: 0.0151 memory: 17007 grad_norm: 8.1561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8621 loss: 1.8621 2022/07/28 15:00:29 - mmengine - INFO - Epoch(train) [109][3660/3757] lr: 3.4549e-03 eta: 1 day, 5:26:50 time: 0.3999 data_time: 0.0182 memory: 17007 grad_norm: 8.1779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6547 loss: 1.6547 2022/07/28 15:00:40 - mmengine - INFO - Epoch(train) [109][3680/3757] lr: 3.4549e-03 eta: 1 day, 5:26:44 time: 0.5595 data_time: 0.0136 memory: 17007 grad_norm: 8.4287 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7298 loss: 1.7298 2022/07/28 15:00:53 - mmengine - INFO - Epoch(train) [109][3700/3757] lr: 3.4549e-03 eta: 1 day, 5:26:39 time: 0.6470 data_time: 0.0160 memory: 17007 grad_norm: 8.6812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5541 loss: 1.5541 2022/07/28 15:01:05 - mmengine - INFO - Epoch(train) [109][3720/3757] lr: 3.4549e-03 eta: 1 day, 5:26:34 time: 0.5910 data_time: 0.0158 memory: 17007 grad_norm: 7.9158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2779 loss: 1.2779 2022/07/28 15:01:16 - mmengine - INFO - Epoch(train) [109][3740/3757] lr: 3.4549e-03 eta: 1 day, 5:26:28 time: 0.5456 data_time: 0.0162 memory: 17007 grad_norm: 8.3281 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8151 loss: 1.8151 2022/07/28 15:01:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 15:01:25 - mmengine - INFO - Epoch(train) [109][3757/3757] lr: 3.4549e-03 eta: 1 day, 5:26:28 time: 0.4866 data_time: 0.1133 memory: 17007 grad_norm: 8.6586 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.1221 loss: 2.1221 2022/07/28 15:01:25 - mmengine - INFO - Saving checkpoint at 109 epochs 2022/07/28 15:01:39 - mmengine - INFO - Epoch(train) [110][20/3757] lr: 3.3722e-03 eta: 1 day, 5:26:10 time: 0.5002 data_time: 0.1095 memory: 17007 grad_norm: 7.9962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3186 loss: 1.3186 2022/07/28 15:01:49 - mmengine - INFO - Epoch(train) [110][40/3757] lr: 3.3722e-03 eta: 1 day, 5:26:03 time: 0.4875 data_time: 0.0575 memory: 17007 grad_norm: 8.6560 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 1.9539 loss: 1.9539 2022/07/28 15:01:59 - mmengine - INFO - Epoch(train) [110][60/3757] lr: 3.3722e-03 eta: 1 day, 5:25:57 time: 0.4890 data_time: 0.1107 memory: 17007 grad_norm: 8.3999 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9616 loss: 1.9616 2022/07/28 15:02:08 - mmengine - INFO - Epoch(train) [110][80/3757] lr: 3.3722e-03 eta: 1 day, 5:25:50 time: 0.4917 data_time: 0.0146 memory: 17007 grad_norm: 8.3543 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5225 loss: 1.5225 2022/07/28 15:02:17 - mmengine - INFO - Epoch(train) [110][100/3757] lr: 3.3722e-03 eta: 1 day, 5:25:42 time: 0.4094 data_time: 0.0265 memory: 17007 grad_norm: 8.1309 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8124 loss: 1.8124 2022/07/28 15:02:26 - mmengine - INFO - Epoch(train) [110][120/3757] lr: 3.3722e-03 eta: 1 day, 5:25:35 time: 0.4887 data_time: 0.0142 memory: 17007 grad_norm: 8.0460 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9527 loss: 1.9527 2022/07/28 15:02:38 - mmengine - INFO - Epoch(train) [110][140/3757] lr: 3.3722e-03 eta: 1 day, 5:25:30 time: 0.5798 data_time: 0.1814 memory: 17007 grad_norm: 8.3628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6407 loss: 1.6407 2022/07/28 15:02:46 - mmengine - INFO - Epoch(train) [110][160/3757] lr: 3.3722e-03 eta: 1 day, 5:25:22 time: 0.4034 data_time: 0.0152 memory: 17007 grad_norm: 8.4739 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9851 loss: 1.9851 2022/07/28 15:02:56 - mmengine - INFO - Epoch(train) [110][180/3757] lr: 3.3722e-03 eta: 1 day, 5:25:16 time: 0.5221 data_time: 0.0139 memory: 17007 grad_norm: 8.3124 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7750 loss: 1.7750 2022/07/28 15:03:06 - mmengine - INFO - Epoch(train) [110][200/3757] lr: 3.3722e-03 eta: 1 day, 5:25:09 time: 0.4966 data_time: 0.0189 memory: 17007 grad_norm: 8.4113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7517 loss: 1.7517 2022/07/28 15:03:18 - mmengine - INFO - Epoch(train) [110][220/3757] lr: 3.3722e-03 eta: 1 day, 5:25:04 time: 0.5936 data_time: 0.0125 memory: 17007 grad_norm: 8.1423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5415 loss: 1.5415 2022/07/28 15:03:28 - mmengine - INFO - Epoch(train) [110][240/3757] lr: 3.3722e-03 eta: 1 day, 5:24:57 time: 0.4750 data_time: 0.0168 memory: 17007 grad_norm: 8.3289 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9571 loss: 1.9571 2022/07/28 15:03:37 - mmengine - INFO - Epoch(train) [110][260/3757] lr: 3.3722e-03 eta: 1 day, 5:24:50 time: 0.4677 data_time: 0.0144 memory: 17007 grad_norm: 8.2477 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6695 loss: 1.6695 2022/07/28 15:03:45 - mmengine - INFO - Epoch(train) [110][280/3757] lr: 3.3722e-03 eta: 1 day, 5:24:42 time: 0.3978 data_time: 0.0130 memory: 17007 grad_norm: 8.2986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6961 loss: 1.6961 2022/07/28 15:03:55 - mmengine - INFO - Epoch(train) [110][300/3757] lr: 3.3722e-03 eta: 1 day, 5:24:35 time: 0.4936 data_time: 0.0173 memory: 17007 grad_norm: 8.0277 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9062 loss: 1.9062 2022/07/28 15:04:08 - mmengine - INFO - Epoch(train) [110][320/3757] lr: 3.3722e-03 eta: 1 day, 5:24:30 time: 0.6215 data_time: 0.2241 memory: 17007 grad_norm: 8.3268 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6172 loss: 1.6172 2022/07/28 15:04:17 - mmengine - INFO - Epoch(train) [110][340/3757] lr: 3.3722e-03 eta: 1 day, 5:24:23 time: 0.4746 data_time: 0.0171 memory: 17007 grad_norm: 8.3685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9274 loss: 1.9274 2022/07/28 15:04:28 - mmengine - INFO - Epoch(train) [110][360/3757] lr: 3.3722e-03 eta: 1 day, 5:24:17 time: 0.5380 data_time: 0.0182 memory: 17007 grad_norm: 8.4190 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6697 loss: 1.6697 2022/07/28 15:04:36 - mmengine - INFO - Epoch(train) [110][380/3757] lr: 3.3722e-03 eta: 1 day, 5:24:09 time: 0.3980 data_time: 0.0141 memory: 17007 grad_norm: 8.0959 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5696 loss: 1.5696 2022/07/28 15:04:45 - mmengine - INFO - Epoch(train) [110][400/3757] lr: 3.3722e-03 eta: 1 day, 5:24:02 time: 0.4782 data_time: 0.0142 memory: 17007 grad_norm: 8.5573 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8703 loss: 1.8703 2022/07/28 15:04:53 - mmengine - INFO - Epoch(train) [110][420/3757] lr: 3.3722e-03 eta: 1 day, 5:23:54 time: 0.3988 data_time: 0.0167 memory: 17007 grad_norm: 8.3400 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6113 loss: 1.6113 2022/07/28 15:05:04 - mmengine - INFO - Epoch(train) [110][440/3757] lr: 3.3722e-03 eta: 1 day, 5:23:48 time: 0.5437 data_time: 0.0131 memory: 17007 grad_norm: 8.3972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9024 loss: 1.9024 2022/07/28 15:05:12 - mmengine - INFO - Epoch(train) [110][460/3757] lr: 3.3722e-03 eta: 1 day, 5:23:40 time: 0.3998 data_time: 0.0176 memory: 17007 grad_norm: 8.4281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0340 loss: 2.0340 2022/07/28 15:05:21 - mmengine - INFO - Epoch(train) [110][480/3757] lr: 3.3722e-03 eta: 1 day, 5:23:32 time: 0.4141 data_time: 0.0152 memory: 17007 grad_norm: 8.5224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7539 loss: 1.7539 2022/07/28 15:05:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 15:05:30 - mmengine - INFO - Epoch(train) [110][500/3757] lr: 3.3722e-03 eta: 1 day, 5:23:25 time: 0.4524 data_time: 0.0740 memory: 17007 grad_norm: 8.1283 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6996 loss: 1.6996 2022/07/28 15:05:37 - mmengine - INFO - Epoch(train) [110][520/3757] lr: 3.3722e-03 eta: 1 day, 5:23:17 time: 0.3939 data_time: 0.0123 memory: 17007 grad_norm: 8.0796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5820 loss: 1.5820 2022/07/28 15:05:46 - mmengine - INFO - Epoch(train) [110][540/3757] lr: 3.3722e-03 eta: 1 day, 5:23:09 time: 0.4054 data_time: 0.0184 memory: 17007 grad_norm: 8.4007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8165 loss: 1.8165 2022/07/28 15:05:54 - mmengine - INFO - Epoch(train) [110][560/3757] lr: 3.3722e-03 eta: 1 day, 5:23:01 time: 0.3975 data_time: 0.0135 memory: 17007 grad_norm: 8.3262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8710 loss: 1.8710 2022/07/28 15:06:02 - mmengine - INFO - Epoch(train) [110][580/3757] lr: 3.3722e-03 eta: 1 day, 5:22:54 time: 0.4104 data_time: 0.0152 memory: 17007 grad_norm: 8.5410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6720 loss: 1.6720 2022/07/28 15:06:10 - mmengine - INFO - Epoch(train) [110][600/3757] lr: 3.3722e-03 eta: 1 day, 5:22:46 time: 0.4016 data_time: 0.0137 memory: 17007 grad_norm: 8.1121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4523 loss: 1.4523 2022/07/28 15:06:20 - mmengine - INFO - Epoch(train) [110][620/3757] lr: 3.3722e-03 eta: 1 day, 5:22:39 time: 0.5007 data_time: 0.0155 memory: 17007 grad_norm: 8.0140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0050 loss: 2.0050 2022/07/28 15:06:28 - mmengine - INFO - Epoch(train) [110][640/3757] lr: 3.3722e-03 eta: 1 day, 5:22:31 time: 0.3949 data_time: 0.0146 memory: 17007 grad_norm: 8.1188 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9779 loss: 1.9779 2022/07/28 15:06:36 - mmengine - INFO - Epoch(train) [110][660/3757] lr: 3.3722e-03 eta: 1 day, 5:22:24 time: 0.4269 data_time: 0.0161 memory: 17007 grad_norm: 8.2608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4267 loss: 1.4267 2022/07/28 15:06:44 - mmengine - INFO - Epoch(train) [110][680/3757] lr: 3.3722e-03 eta: 1 day, 5:22:16 time: 0.3971 data_time: 0.0137 memory: 17007 grad_norm: 8.5329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8040 loss: 1.8040 2022/07/28 15:06:52 - mmengine - INFO - Epoch(train) [110][700/3757] lr: 3.3722e-03 eta: 1 day, 5:22:08 time: 0.3947 data_time: 0.0137 memory: 17007 grad_norm: 7.9991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6012 loss: 1.6012 2022/07/28 15:07:02 - mmengine - INFO - Epoch(train) [110][720/3757] lr: 3.3722e-03 eta: 1 day, 5:22:01 time: 0.4789 data_time: 0.0148 memory: 17007 grad_norm: 8.2439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9221 loss: 1.9221 2022/07/28 15:07:10 - mmengine - INFO - Epoch(train) [110][740/3757] lr: 3.3722e-03 eta: 1 day, 5:21:53 time: 0.3991 data_time: 0.0142 memory: 17007 grad_norm: 8.0779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7239 loss: 1.7239 2022/07/28 15:07:20 - mmengine - INFO - Epoch(train) [110][760/3757] lr: 3.3722e-03 eta: 1 day, 5:21:46 time: 0.5171 data_time: 0.0178 memory: 17007 grad_norm: 8.6580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0160 loss: 2.0160 2022/07/28 15:07:28 - mmengine - INFO - Epoch(train) [110][780/3757] lr: 3.3722e-03 eta: 1 day, 5:21:38 time: 0.3959 data_time: 0.0148 memory: 17007 grad_norm: 8.2210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6006 loss: 1.6006 2022/07/28 15:07:36 - mmengine - INFO - Epoch(train) [110][800/3757] lr: 3.3722e-03 eta: 1 day, 5:21:31 time: 0.3975 data_time: 0.0147 memory: 17007 grad_norm: 8.2908 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1313 loss: 2.1313 2022/07/28 15:07:45 - mmengine - INFO - Epoch(train) [110][820/3757] lr: 3.3722e-03 eta: 1 day, 5:21:23 time: 0.4406 data_time: 0.0151 memory: 17007 grad_norm: 8.3066 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9404 loss: 1.9404 2022/07/28 15:07:53 - mmengine - INFO - Epoch(train) [110][840/3757] lr: 3.3722e-03 eta: 1 day, 5:21:15 time: 0.4130 data_time: 0.0154 memory: 17007 grad_norm: 8.3865 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7937 loss: 1.7937 2022/07/28 15:08:02 - mmengine - INFO - Epoch(train) [110][860/3757] lr: 3.3722e-03 eta: 1 day, 5:21:08 time: 0.4504 data_time: 0.0732 memory: 17007 grad_norm: 7.8705 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7387 loss: 1.7387 2022/07/28 15:08:10 - mmengine - INFO - Epoch(train) [110][880/3757] lr: 3.3722e-03 eta: 1 day, 5:21:00 time: 0.3964 data_time: 0.0121 memory: 17007 grad_norm: 8.5465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9109 loss: 1.9109 2022/07/28 15:08:18 - mmengine - INFO - Epoch(train) [110][900/3757] lr: 3.3722e-03 eta: 1 day, 5:20:52 time: 0.3950 data_time: 0.0166 memory: 17007 grad_norm: 8.3267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8134 loss: 1.8134 2022/07/28 15:08:26 - mmengine - INFO - Epoch(train) [110][920/3757] lr: 3.3722e-03 eta: 1 day, 5:20:44 time: 0.3946 data_time: 0.0150 memory: 17007 grad_norm: 8.2716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5948 loss: 1.5948 2022/07/28 15:08:34 - mmengine - INFO - Epoch(train) [110][940/3757] lr: 3.3722e-03 eta: 1 day, 5:20:36 time: 0.4037 data_time: 0.0165 memory: 17007 grad_norm: 8.4373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6986 loss: 1.6986 2022/07/28 15:08:42 - mmengine - INFO - Epoch(train) [110][960/3757] lr: 3.3722e-03 eta: 1 day, 5:20:28 time: 0.3980 data_time: 0.0129 memory: 17007 grad_norm: 8.5902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7160 loss: 1.7160 2022/07/28 15:08:50 - mmengine - INFO - Epoch(train) [110][980/3757] lr: 3.3722e-03 eta: 1 day, 5:20:20 time: 0.3995 data_time: 0.0163 memory: 17007 grad_norm: 8.3606 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8787 loss: 1.8787 2022/07/28 15:09:01 - mmengine - INFO - Epoch(train) [110][1000/3757] lr: 3.3722e-03 eta: 1 day, 5:20:14 time: 0.5416 data_time: 0.0134 memory: 17007 grad_norm: 8.6271 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6596 loss: 1.6596 2022/07/28 15:09:09 - mmengine - INFO - Epoch(train) [110][1020/3757] lr: 3.3722e-03 eta: 1 day, 5:20:06 time: 0.3946 data_time: 0.0161 memory: 17007 grad_norm: 8.1919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9483 loss: 1.9483 2022/07/28 15:09:17 - mmengine - INFO - Epoch(train) [110][1040/3757] lr: 3.3722e-03 eta: 1 day, 5:19:58 time: 0.3947 data_time: 0.0147 memory: 17007 grad_norm: 8.4661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1907 loss: 2.1907 2022/07/28 15:09:25 - mmengine - INFO - Epoch(train) [110][1060/3757] lr: 3.3722e-03 eta: 1 day, 5:19:50 time: 0.3968 data_time: 0.0163 memory: 17007 grad_norm: 8.2515 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0995 loss: 2.0995 2022/07/28 15:09:33 - mmengine - INFO - Epoch(train) [110][1080/3757] lr: 3.3722e-03 eta: 1 day, 5:19:43 time: 0.3970 data_time: 0.0144 memory: 17007 grad_norm: 8.3154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8140 loss: 1.8140 2022/07/28 15:09:41 - mmengine - INFO - Epoch(train) [110][1100/3757] lr: 3.3722e-03 eta: 1 day, 5:19:35 time: 0.4053 data_time: 0.0159 memory: 17007 grad_norm: 8.0674 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5819 loss: 1.5819 2022/07/28 15:09:49 - mmengine - INFO - Epoch(train) [110][1120/3757] lr: 3.3722e-03 eta: 1 day, 5:19:27 time: 0.3937 data_time: 0.0128 memory: 17007 grad_norm: 8.3454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7380 loss: 1.7380 2022/07/28 15:09:57 - mmengine - INFO - Epoch(train) [110][1140/3757] lr: 3.3722e-03 eta: 1 day, 5:19:19 time: 0.3989 data_time: 0.0180 memory: 17007 grad_norm: 8.5031 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8857 loss: 1.8857 2022/07/28 15:10:05 - mmengine - INFO - Epoch(train) [110][1160/3757] lr: 3.3722e-03 eta: 1 day, 5:19:11 time: 0.4087 data_time: 0.0126 memory: 17007 grad_norm: 8.0520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6327 loss: 1.6327 2022/07/28 15:10:13 - mmengine - INFO - Epoch(train) [110][1180/3757] lr: 3.3722e-03 eta: 1 day, 5:19:03 time: 0.3992 data_time: 0.0173 memory: 17007 grad_norm: 8.3924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7539 loss: 1.7539 2022/07/28 15:10:21 - mmengine - INFO - Epoch(train) [110][1200/3757] lr: 3.3722e-03 eta: 1 day, 5:18:55 time: 0.3987 data_time: 0.0141 memory: 17007 grad_norm: 8.5106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9207 loss: 1.9207 2022/07/28 15:10:29 - mmengine - INFO - Epoch(train) [110][1220/3757] lr: 3.3722e-03 eta: 1 day, 5:18:47 time: 0.3956 data_time: 0.0163 memory: 17007 grad_norm: 8.3825 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9002 loss: 1.9002 2022/07/28 15:10:37 - mmengine - INFO - Epoch(train) [110][1240/3757] lr: 3.3722e-03 eta: 1 day, 5:18:39 time: 0.3952 data_time: 0.0151 memory: 17007 grad_norm: 8.6360 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8246 loss: 1.8246 2022/07/28 15:10:45 - mmengine - INFO - Epoch(train) [110][1260/3757] lr: 3.3722e-03 eta: 1 day, 5:18:31 time: 0.4039 data_time: 0.0151 memory: 17007 grad_norm: 8.5737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6261 loss: 1.6261 2022/07/28 15:10:53 - mmengine - INFO - Epoch(train) [110][1280/3757] lr: 3.3722e-03 eta: 1 day, 5:18:23 time: 0.3968 data_time: 0.0138 memory: 17007 grad_norm: 8.3725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7164 loss: 1.7164 2022/07/28 15:11:01 - mmengine - INFO - Epoch(train) [110][1300/3757] lr: 3.3722e-03 eta: 1 day, 5:18:15 time: 0.3960 data_time: 0.0159 memory: 17007 grad_norm: 8.4511 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8337 loss: 1.8337 2022/07/28 15:11:08 - mmengine - INFO - Epoch(train) [110][1320/3757] lr: 3.3722e-03 eta: 1 day, 5:18:07 time: 0.3939 data_time: 0.0138 memory: 17007 grad_norm: 8.4226 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0174 loss: 2.0174 2022/07/28 15:11:16 - mmengine - INFO - Epoch(train) [110][1340/3757] lr: 3.3722e-03 eta: 1 day, 5:17:59 time: 0.3999 data_time: 0.0158 memory: 17007 grad_norm: 8.2550 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0701 loss: 2.0701 2022/07/28 15:11:24 - mmengine - INFO - Epoch(train) [110][1360/3757] lr: 3.3722e-03 eta: 1 day, 5:17:52 time: 0.4002 data_time: 0.0147 memory: 17007 grad_norm: 8.3221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3275 loss: 2.3275 2022/07/28 15:11:33 - mmengine - INFO - Epoch(train) [110][1380/3757] lr: 3.3722e-03 eta: 1 day, 5:17:44 time: 0.4225 data_time: 0.0189 memory: 17007 grad_norm: 8.3021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4894 loss: 1.4894 2022/07/28 15:11:41 - mmengine - INFO - Epoch(train) [110][1400/3757] lr: 3.3722e-03 eta: 1 day, 5:17:36 time: 0.4232 data_time: 0.0118 memory: 17007 grad_norm: 8.5976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4982 loss: 1.4982 2022/07/28 15:11:51 - mmengine - INFO - Epoch(train) [110][1420/3757] lr: 3.3722e-03 eta: 1 day, 5:17:29 time: 0.4696 data_time: 0.0166 memory: 17007 grad_norm: 8.4093 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7878 loss: 1.7878 2022/07/28 15:11:59 - mmengine - INFO - Epoch(train) [110][1440/3757] lr: 3.3722e-03 eta: 1 day, 5:17:21 time: 0.3937 data_time: 0.0129 memory: 17007 grad_norm: 8.3220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9122 loss: 1.9122 2022/07/28 15:12:07 - mmengine - INFO - Epoch(train) [110][1460/3757] lr: 3.3722e-03 eta: 1 day, 5:17:13 time: 0.3994 data_time: 0.0151 memory: 17007 grad_norm: 8.5611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8354 loss: 1.8354 2022/07/28 15:12:15 - mmengine - INFO - Epoch(train) [110][1480/3757] lr: 3.3722e-03 eta: 1 day, 5:17:05 time: 0.3952 data_time: 0.0144 memory: 17007 grad_norm: 7.9547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8473 loss: 1.8473 2022/07/28 15:12:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 15:12:23 - mmengine - INFO - Epoch(train) [110][1500/3757] lr: 3.3722e-03 eta: 1 day, 5:16:57 time: 0.3981 data_time: 0.0152 memory: 17007 grad_norm: 8.4932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6561 loss: 1.6561 2022/07/28 15:12:31 - mmengine - INFO - Epoch(train) [110][1520/3757] lr: 3.3722e-03 eta: 1 day, 5:16:50 time: 0.4428 data_time: 0.0128 memory: 17007 grad_norm: 8.5497 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9127 loss: 1.9127 2022/07/28 15:12:40 - mmengine - INFO - Epoch(train) [110][1540/3757] lr: 3.3722e-03 eta: 1 day, 5:16:43 time: 0.4437 data_time: 0.0200 memory: 17007 grad_norm: 8.1014 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6348 loss: 1.6348 2022/07/28 15:12:53 - mmengine - INFO - Epoch(train) [110][1560/3757] lr: 3.3722e-03 eta: 1 day, 5:16:38 time: 0.6469 data_time: 0.0119 memory: 17007 grad_norm: 8.2899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8366 loss: 1.8366 2022/07/28 15:13:04 - mmengine - INFO - Epoch(train) [110][1580/3757] lr: 3.3722e-03 eta: 1 day, 5:16:32 time: 0.5398 data_time: 0.1039 memory: 17007 grad_norm: 8.6328 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8778 loss: 1.8778 2022/07/28 15:13:20 - mmengine - INFO - Epoch(train) [110][1600/3757] lr: 3.3722e-03 eta: 1 day, 5:16:29 time: 0.7875 data_time: 0.0168 memory: 17007 grad_norm: 8.1729 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8180 loss: 1.8180 2022/07/28 15:13:28 - mmengine - INFO - Epoch(train) [110][1620/3757] lr: 3.3722e-03 eta: 1 day, 5:16:21 time: 0.4296 data_time: 0.0185 memory: 17007 grad_norm: 8.0343 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7977 loss: 1.7977 2022/07/28 15:13:37 - mmengine - INFO - Epoch(train) [110][1640/3757] lr: 3.3722e-03 eta: 1 day, 5:16:14 time: 0.4193 data_time: 0.0142 memory: 17007 grad_norm: 8.0349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7116 loss: 1.7116 2022/07/28 15:13:45 - mmengine - INFO - Epoch(train) [110][1660/3757] lr: 3.3722e-03 eta: 1 day, 5:16:06 time: 0.4055 data_time: 0.0161 memory: 17007 grad_norm: 8.4842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5709 loss: 1.5709 2022/07/28 15:13:53 - mmengine - INFO - Epoch(train) [110][1680/3757] lr: 3.3722e-03 eta: 1 day, 5:15:58 time: 0.4021 data_time: 0.0161 memory: 17007 grad_norm: 8.7314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7757 loss: 1.7757 2022/07/28 15:14:01 - mmengine - INFO - Epoch(train) [110][1700/3757] lr: 3.3722e-03 eta: 1 day, 5:15:50 time: 0.4087 data_time: 0.0158 memory: 17007 grad_norm: 8.3428 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9020 loss: 1.9020 2022/07/28 15:14:09 - mmengine - INFO - Epoch(train) [110][1720/3757] lr: 3.3722e-03 eta: 1 day, 5:15:42 time: 0.3935 data_time: 0.0148 memory: 17007 grad_norm: 8.3186 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 1.5954 loss: 1.5954 2022/07/28 15:14:17 - mmengine - INFO - Epoch(train) [110][1740/3757] lr: 3.3722e-03 eta: 1 day, 5:15:34 time: 0.3969 data_time: 0.0151 memory: 17007 grad_norm: 8.6071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8469 loss: 1.8469 2022/07/28 15:14:25 - mmengine - INFO - Epoch(train) [110][1760/3757] lr: 3.3722e-03 eta: 1 day, 5:15:26 time: 0.4026 data_time: 0.0131 memory: 17007 grad_norm: 8.1648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5392 loss: 1.5392 2022/07/28 15:14:33 - mmengine - INFO - Epoch(train) [110][1780/3757] lr: 3.3722e-03 eta: 1 day, 5:15:18 time: 0.3982 data_time: 0.0160 memory: 17007 grad_norm: 8.2352 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5757 loss: 1.5757 2022/07/28 15:14:41 - mmengine - INFO - Epoch(train) [110][1800/3757] lr: 3.3722e-03 eta: 1 day, 5:15:10 time: 0.3951 data_time: 0.0126 memory: 17007 grad_norm: 8.3206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6718 loss: 1.6718 2022/07/28 15:14:49 - mmengine - INFO - Epoch(train) [110][1820/3757] lr: 3.3722e-03 eta: 1 day, 5:15:02 time: 0.3948 data_time: 0.0156 memory: 17007 grad_norm: 8.7750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6285 loss: 1.6285 2022/07/28 15:14:57 - mmengine - INFO - Epoch(train) [110][1840/3757] lr: 3.3722e-03 eta: 1 day, 5:14:55 time: 0.3994 data_time: 0.0140 memory: 17007 grad_norm: 8.0918 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7346 loss: 1.7346 2022/07/28 15:15:05 - mmengine - INFO - Epoch(train) [110][1860/3757] lr: 3.3722e-03 eta: 1 day, 5:14:47 time: 0.3996 data_time: 0.0165 memory: 17007 grad_norm: 8.2462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5830 loss: 1.5830 2022/07/28 15:15:13 - mmengine - INFO - Epoch(train) [110][1880/3757] lr: 3.3722e-03 eta: 1 day, 5:14:39 time: 0.3969 data_time: 0.0134 memory: 17007 grad_norm: 8.3477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9772 loss: 1.9772 2022/07/28 15:15:21 - mmengine - INFO - Epoch(train) [110][1900/3757] lr: 3.3722e-03 eta: 1 day, 5:14:31 time: 0.3989 data_time: 0.0156 memory: 17007 grad_norm: 8.1236 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7255 loss: 1.7255 2022/07/28 15:15:29 - mmengine - INFO - Epoch(train) [110][1920/3757] lr: 3.3722e-03 eta: 1 day, 5:14:23 time: 0.3935 data_time: 0.0129 memory: 17007 grad_norm: 8.0374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7095 loss: 1.7095 2022/07/28 15:15:37 - mmengine - INFO - Epoch(train) [110][1940/3757] lr: 3.3722e-03 eta: 1 day, 5:14:15 time: 0.3972 data_time: 0.0175 memory: 17007 grad_norm: 8.4554 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7444 loss: 1.7444 2022/07/28 15:15:45 - mmengine - INFO - Epoch(train) [110][1960/3757] lr: 3.3722e-03 eta: 1 day, 5:14:07 time: 0.4016 data_time: 0.0145 memory: 17007 grad_norm: 8.6071 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5946 loss: 1.5946 2022/07/28 15:15:53 - mmengine - INFO - Epoch(train) [110][1980/3757] lr: 3.3722e-03 eta: 1 day, 5:13:59 time: 0.3968 data_time: 0.0169 memory: 17007 grad_norm: 8.0297 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9835 loss: 1.9835 2022/07/28 15:16:01 - mmengine - INFO - Epoch(train) [110][2000/3757] lr: 3.3722e-03 eta: 1 day, 5:13:51 time: 0.4046 data_time: 0.0129 memory: 17007 grad_norm: 8.3958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4232 loss: 1.4232 2022/07/28 15:16:11 - mmengine - INFO - Epoch(train) [110][2020/3757] lr: 3.3722e-03 eta: 1 day, 5:13:44 time: 0.4959 data_time: 0.0170 memory: 17007 grad_norm: 8.0236 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6557 loss: 1.6557 2022/07/28 15:16:21 - mmengine - INFO - Epoch(train) [110][2040/3757] lr: 3.3722e-03 eta: 1 day, 5:13:38 time: 0.5146 data_time: 0.0139 memory: 17007 grad_norm: 8.7629 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5706 loss: 1.5706 2022/07/28 15:16:33 - mmengine - INFO - Epoch(train) [110][2060/3757] lr: 3.3722e-03 eta: 1 day, 5:13:33 time: 0.6119 data_time: 0.0177 memory: 17007 grad_norm: 8.1198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5072 loss: 1.5072 2022/07/28 15:16:44 - mmengine - INFO - Epoch(train) [110][2080/3757] lr: 3.3722e-03 eta: 1 day, 5:13:26 time: 0.5286 data_time: 0.0144 memory: 17007 grad_norm: 8.1076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8264 loss: 1.8264 2022/07/28 15:16:54 - mmengine - INFO - Epoch(train) [110][2100/3757] lr: 3.3722e-03 eta: 1 day, 5:13:20 time: 0.4936 data_time: 0.0199 memory: 17007 grad_norm: 8.0365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6355 loss: 1.6355 2022/07/28 15:17:05 - mmengine - INFO - Epoch(train) [110][2120/3757] lr: 3.3722e-03 eta: 1 day, 5:13:14 time: 0.5702 data_time: 0.0154 memory: 17007 grad_norm: 8.5142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7477 loss: 1.7477 2022/07/28 15:17:21 - mmengine - INFO - Epoch(train) [110][2140/3757] lr: 3.3722e-03 eta: 1 day, 5:13:11 time: 0.7686 data_time: 0.0149 memory: 17007 grad_norm: 8.2063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7319 loss: 1.7319 2022/07/28 15:17:33 - mmengine - INFO - Epoch(train) [110][2160/3757] lr: 3.3722e-03 eta: 1 day, 5:13:06 time: 0.6127 data_time: 0.0189 memory: 17007 grad_norm: 8.4611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8361 loss: 1.8361 2022/07/28 15:17:43 - mmengine - INFO - Epoch(train) [110][2180/3757] lr: 3.3722e-03 eta: 1 day, 5:12:59 time: 0.4903 data_time: 0.0188 memory: 17007 grad_norm: 7.9778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6726 loss: 1.6726 2022/07/28 15:17:55 - mmengine - INFO - Epoch(train) [110][2200/3757] lr: 3.3722e-03 eta: 1 day, 5:12:54 time: 0.6178 data_time: 0.0146 memory: 17007 grad_norm: 8.3764 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0218 loss: 2.0218 2022/07/28 15:18:10 - mmengine - INFO - Epoch(train) [110][2220/3757] lr: 3.3722e-03 eta: 1 day, 5:12:50 time: 0.7537 data_time: 0.0169 memory: 17007 grad_norm: 8.1825 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0435 loss: 2.0435 2022/07/28 15:18:22 - mmengine - INFO - Epoch(train) [110][2240/3757] lr: 3.3722e-03 eta: 1 day, 5:12:45 time: 0.5913 data_time: 0.0979 memory: 17007 grad_norm: 8.3603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7929 loss: 1.7929 2022/07/28 15:18:33 - mmengine - INFO - Epoch(train) [110][2260/3757] lr: 3.3722e-03 eta: 1 day, 5:12:39 time: 0.5489 data_time: 0.1569 memory: 17007 grad_norm: 8.7038 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8497 loss: 1.8497 2022/07/28 15:18:49 - mmengine - INFO - Epoch(train) [110][2280/3757] lr: 3.3722e-03 eta: 1 day, 5:12:36 time: 0.8016 data_time: 0.3920 memory: 17007 grad_norm: 8.4096 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7904 loss: 1.7904 2022/07/28 15:19:00 - mmengine - INFO - Epoch(train) [110][2300/3757] lr: 3.3722e-03 eta: 1 day, 5:12:30 time: 0.5371 data_time: 0.0993 memory: 17007 grad_norm: 8.3972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5191 loss: 1.5191 2022/07/28 15:19:12 - mmengine - INFO - Epoch(train) [110][2320/3757] lr: 3.3722e-03 eta: 1 day, 5:12:25 time: 0.5918 data_time: 0.0154 memory: 17007 grad_norm: 8.1272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7558 loss: 1.7558 2022/07/28 15:19:26 - mmengine - INFO - Epoch(train) [110][2340/3757] lr: 3.3722e-03 eta: 1 day, 5:12:20 time: 0.6997 data_time: 0.0154 memory: 17007 grad_norm: 8.2770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/07/28 15:19:37 - mmengine - INFO - Epoch(train) [110][2360/3757] lr: 3.3722e-03 eta: 1 day, 5:12:15 time: 0.5882 data_time: 0.0758 memory: 17007 grad_norm: 8.1683 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7151 loss: 1.7151 2022/07/28 15:19:48 - mmengine - INFO - Epoch(train) [110][2380/3757] lr: 3.3722e-03 eta: 1 day, 5:12:08 time: 0.5095 data_time: 0.0161 memory: 17007 grad_norm: 8.4800 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7694 loss: 1.7694 2022/07/28 15:19:58 - mmengine - INFO - Epoch(train) [110][2400/3757] lr: 3.3722e-03 eta: 1 day, 5:12:02 time: 0.5443 data_time: 0.0820 memory: 17007 grad_norm: 7.8818 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8644 loss: 1.8644 2022/07/28 15:20:11 - mmengine - INFO - Epoch(train) [110][2420/3757] lr: 3.3722e-03 eta: 1 day, 5:11:57 time: 0.6228 data_time: 0.0195 memory: 17007 grad_norm: 8.2389 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8829 loss: 1.8829 2022/07/28 15:20:22 - mmengine - INFO - Epoch(train) [110][2440/3757] lr: 3.3722e-03 eta: 1 day, 5:11:51 time: 0.5639 data_time: 0.0132 memory: 17007 grad_norm: 8.4272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9468 loss: 1.9468 2022/07/28 15:20:37 - mmengine - INFO - Epoch(train) [110][2460/3757] lr: 3.3722e-03 eta: 1 day, 5:11:48 time: 0.7320 data_time: 0.0395 memory: 17007 grad_norm: 8.5927 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8627 loss: 1.8627 2022/07/28 15:20:49 - mmengine - INFO - Epoch(train) [110][2480/3757] lr: 3.3722e-03 eta: 1 day, 5:11:42 time: 0.5898 data_time: 0.0156 memory: 17007 grad_norm: 8.4915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9139 loss: 1.9139 2022/07/28 15:20:52 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 15:20:59 - mmengine - INFO - Epoch(train) [110][2500/3757] lr: 3.3722e-03 eta: 1 day, 5:11:36 time: 0.5337 data_time: 0.0183 memory: 17007 grad_norm: 8.3355 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8248 loss: 1.8248 2022/07/28 15:21:09 - mmengine - INFO - Epoch(train) [110][2520/3757] lr: 3.3722e-03 eta: 1 day, 5:11:30 time: 0.5041 data_time: 0.0174 memory: 17007 grad_norm: 8.0322 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8669 loss: 1.8669 2022/07/28 15:21:28 - mmengine - INFO - Epoch(train) [110][2540/3757] lr: 3.3722e-03 eta: 1 day, 5:11:28 time: 0.9308 data_time: 0.0151 memory: 17007 grad_norm: 8.8269 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6828 loss: 1.6828 2022/07/28 15:21:40 - mmengine - INFO - Epoch(train) [110][2560/3757] lr: 3.3722e-03 eta: 1 day, 5:11:23 time: 0.5911 data_time: 0.0179 memory: 17007 grad_norm: 8.4971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7300 loss: 1.7300 2022/07/28 15:21:52 - mmengine - INFO - Epoch(train) [110][2580/3757] lr: 3.3722e-03 eta: 1 day, 5:11:18 time: 0.5952 data_time: 0.0288 memory: 17007 grad_norm: 8.3671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9082 loss: 1.9082 2022/07/28 15:22:07 - mmengine - INFO - Epoch(train) [110][2600/3757] lr: 3.3722e-03 eta: 1 day, 5:11:14 time: 0.7425 data_time: 0.1200 memory: 17007 grad_norm: 8.4229 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8115 loss: 1.8115 2022/07/28 15:22:20 - mmengine - INFO - Epoch(train) [110][2620/3757] lr: 3.3722e-03 eta: 1 day, 5:11:10 time: 0.6837 data_time: 0.0156 memory: 17007 grad_norm: 8.2511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5403 loss: 1.5403 2022/07/28 15:22:37 - mmengine - INFO - Epoch(train) [110][2640/3757] lr: 3.3722e-03 eta: 1 day, 5:11:07 time: 0.8474 data_time: 0.0161 memory: 17007 grad_norm: 8.0141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8096 loss: 1.8096 2022/07/28 15:22:57 - mmengine - INFO - Epoch(train) [110][2660/3757] lr: 3.3722e-03 eta: 1 day, 5:11:07 time: 0.9631 data_time: 0.0191 memory: 17007 grad_norm: 8.6865 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8471 loss: 1.8471 2022/07/28 15:23:07 - mmengine - INFO - Epoch(train) [110][2680/3757] lr: 3.3722e-03 eta: 1 day, 5:11:00 time: 0.4927 data_time: 0.0144 memory: 17007 grad_norm: 8.5853 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8853 loss: 1.8853 2022/07/28 15:23:25 - mmengine - INFO - Epoch(train) [110][2700/3757] lr: 3.3722e-03 eta: 1 day, 5:10:58 time: 0.8982 data_time: 0.0180 memory: 17007 grad_norm: 8.3482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6056 loss: 1.6056 2022/07/28 15:23:38 - mmengine - INFO - Epoch(train) [110][2720/3757] lr: 3.3722e-03 eta: 1 day, 5:10:54 time: 0.6857 data_time: 0.2944 memory: 17007 grad_norm: 8.4739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7603 loss: 1.7603 2022/07/28 15:23:51 - mmengine - INFO - Epoch(train) [110][2740/3757] lr: 3.3722e-03 eta: 1 day, 5:10:50 time: 0.6544 data_time: 0.2614 memory: 17007 grad_norm: 8.3275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6654 loss: 1.6654 2022/07/28 15:24:06 - mmengine - INFO - Epoch(train) [110][2760/3757] lr: 3.3722e-03 eta: 1 day, 5:10:46 time: 0.7286 data_time: 0.1818 memory: 17007 grad_norm: 8.5847 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7861 loss: 1.7861 2022/07/28 15:24:23 - mmengine - INFO - Epoch(train) [110][2780/3757] lr: 3.3722e-03 eta: 1 day, 5:10:44 time: 0.8457 data_time: 0.0165 memory: 17007 grad_norm: 8.6937 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7794 loss: 1.7794 2022/07/28 15:24:34 - mmengine - INFO - Epoch(train) [110][2800/3757] lr: 3.3722e-03 eta: 1 day, 5:10:38 time: 0.5670 data_time: 0.0893 memory: 17007 grad_norm: 8.4220 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7940 loss: 1.7940 2022/07/28 15:24:45 - mmengine - INFO - Epoch(train) [110][2820/3757] lr: 3.3722e-03 eta: 1 day, 5:10:32 time: 0.5585 data_time: 0.0156 memory: 17007 grad_norm: 8.0886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4635 loss: 1.4635 2022/07/28 15:25:04 - mmengine - INFO - Epoch(train) [110][2840/3757] lr: 3.3722e-03 eta: 1 day, 5:10:31 time: 0.9496 data_time: 0.0186 memory: 17007 grad_norm: 8.1881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5709 loss: 1.5709 2022/07/28 15:25:13 - mmengine - INFO - Epoch(train) [110][2860/3757] lr: 3.3722e-03 eta: 1 day, 5:10:24 time: 0.4404 data_time: 0.0138 memory: 17007 grad_norm: 8.1623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8234 loss: 1.8234 2022/07/28 15:25:21 - mmengine - INFO - Epoch(train) [110][2880/3757] lr: 3.3722e-03 eta: 1 day, 5:10:16 time: 0.3966 data_time: 0.0132 memory: 17007 grad_norm: 8.4443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7619 loss: 1.7619 2022/07/28 15:25:29 - mmengine - INFO - Epoch(train) [110][2900/3757] lr: 3.3722e-03 eta: 1 day, 5:10:08 time: 0.3965 data_time: 0.0165 memory: 17007 grad_norm: 8.7809 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6902 loss: 1.6902 2022/07/28 15:25:37 - mmengine - INFO - Epoch(train) [110][2920/3757] lr: 3.3722e-03 eta: 1 day, 5:10:00 time: 0.3933 data_time: 0.0133 memory: 17007 grad_norm: 8.0773 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7319 loss: 1.7319 2022/07/28 15:25:45 - mmengine - INFO - Epoch(train) [110][2940/3757] lr: 3.3722e-03 eta: 1 day, 5:09:52 time: 0.3962 data_time: 0.0158 memory: 17007 grad_norm: 8.5448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8087 loss: 1.8087 2022/07/28 15:25:53 - mmengine - INFO - Epoch(train) [110][2960/3757] lr: 3.3722e-03 eta: 1 day, 5:09:44 time: 0.3966 data_time: 0.0146 memory: 17007 grad_norm: 8.3732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0388 loss: 2.0388 2022/07/28 15:26:01 - mmengine - INFO - Epoch(train) [110][2980/3757] lr: 3.3722e-03 eta: 1 day, 5:09:36 time: 0.3950 data_time: 0.0152 memory: 17007 grad_norm: 8.2725 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.9623 loss: 1.9623 2022/07/28 15:26:09 - mmengine - INFO - Epoch(train) [110][3000/3757] lr: 3.3722e-03 eta: 1 day, 5:09:28 time: 0.3983 data_time: 0.0144 memory: 17007 grad_norm: 8.4316 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7144 loss: 1.7144 2022/07/28 15:26:17 - mmengine - INFO - Epoch(train) [110][3020/3757] lr: 3.3722e-03 eta: 1 day, 5:09:20 time: 0.3994 data_time: 0.0176 memory: 17007 grad_norm: 8.5867 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8855 loss: 1.8855 2022/07/28 15:26:25 - mmengine - INFO - Epoch(train) [110][3040/3757] lr: 3.3722e-03 eta: 1 day, 5:09:12 time: 0.3933 data_time: 0.0128 memory: 17007 grad_norm: 7.9506 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8186 loss: 1.8186 2022/07/28 15:26:33 - mmengine - INFO - Epoch(train) [110][3060/3757] lr: 3.3722e-03 eta: 1 day, 5:09:04 time: 0.4013 data_time: 0.0180 memory: 17007 grad_norm: 8.4745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5452 loss: 1.5452 2022/07/28 15:26:41 - mmengine - INFO - Epoch(train) [110][3080/3757] lr: 3.3722e-03 eta: 1 day, 5:08:56 time: 0.3945 data_time: 0.0128 memory: 17007 grad_norm: 8.6295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5739 loss: 1.5739 2022/07/28 15:26:50 - mmengine - INFO - Epoch(train) [110][3100/3757] lr: 3.3722e-03 eta: 1 day, 5:08:48 time: 0.4471 data_time: 0.0335 memory: 17007 grad_norm: 8.1341 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0417 loss: 2.0417 2022/07/28 15:27:01 - mmengine - INFO - Epoch(train) [110][3120/3757] lr: 3.3722e-03 eta: 1 day, 5:08:43 time: 0.5878 data_time: 0.0128 memory: 17007 grad_norm: 8.3164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9592 loss: 1.9592 2022/07/28 15:27:13 - mmengine - INFO - Epoch(train) [110][3140/3757] lr: 3.3722e-03 eta: 1 day, 5:08:38 time: 0.5953 data_time: 0.0196 memory: 17007 grad_norm: 8.3572 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9648 loss: 1.9648 2022/07/28 15:27:25 - mmengine - INFO - Epoch(train) [110][3160/3757] lr: 3.3722e-03 eta: 1 day, 5:08:32 time: 0.5720 data_time: 0.0177 memory: 17007 grad_norm: 8.4287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6967 loss: 1.6967 2022/07/28 15:27:41 - mmengine - INFO - Epoch(train) [110][3180/3757] lr: 3.3722e-03 eta: 1 day, 5:08:29 time: 0.8258 data_time: 0.0944 memory: 17007 grad_norm: 8.2938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9120 loss: 1.9120 2022/07/28 15:27:53 - mmengine - INFO - Epoch(train) [110][3200/3757] lr: 3.3722e-03 eta: 1 day, 5:08:24 time: 0.5832 data_time: 0.0225 memory: 17007 grad_norm: 8.3581 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9811 loss: 1.9811 2022/07/28 15:28:03 - mmengine - INFO - Epoch(train) [110][3220/3757] lr: 3.3722e-03 eta: 1 day, 5:08:17 time: 0.5177 data_time: 0.0164 memory: 17007 grad_norm: 8.6876 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.8776 loss: 1.8776 2022/07/28 15:28:15 - mmengine - INFO - Epoch(train) [110][3240/3757] lr: 3.3722e-03 eta: 1 day, 5:08:12 time: 0.5819 data_time: 0.0624 memory: 17007 grad_norm: 8.3848 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9430 loss: 1.9430 2022/07/28 15:28:25 - mmengine - INFO - Epoch(train) [110][3260/3757] lr: 3.3722e-03 eta: 1 day, 5:08:05 time: 0.4983 data_time: 0.0199 memory: 17007 grad_norm: 8.3966 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9559 loss: 1.9559 2022/07/28 15:28:42 - mmengine - INFO - Epoch(train) [110][3280/3757] lr: 3.3722e-03 eta: 1 day, 5:08:03 time: 0.8606 data_time: 0.0112 memory: 17007 grad_norm: 8.6769 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8223 loss: 1.8223 2022/07/28 15:28:54 - mmengine - INFO - Epoch(train) [110][3300/3757] lr: 3.3722e-03 eta: 1 day, 5:07:57 time: 0.5860 data_time: 0.0175 memory: 17007 grad_norm: 8.5453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5505 loss: 1.5505 2022/07/28 15:29:06 - mmengine - INFO - Epoch(train) [110][3320/3757] lr: 3.3722e-03 eta: 1 day, 5:07:52 time: 0.5880 data_time: 0.0147 memory: 17007 grad_norm: 8.2047 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6303 loss: 1.6303 2022/07/28 15:29:17 - mmengine - INFO - Epoch(train) [110][3340/3757] lr: 3.3722e-03 eta: 1 day, 5:07:46 time: 0.5444 data_time: 0.0190 memory: 17007 grad_norm: 8.3666 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4082 loss: 1.4082 2022/07/28 15:29:31 - mmengine - INFO - Epoch(train) [110][3360/3757] lr: 3.3722e-03 eta: 1 day, 5:07:42 time: 0.7336 data_time: 0.0152 memory: 17007 grad_norm: 8.3305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5890 loss: 1.5890 2022/07/28 15:29:42 - mmengine - INFO - Epoch(train) [110][3380/3757] lr: 3.3722e-03 eta: 1 day, 5:07:36 time: 0.5445 data_time: 0.0267 memory: 17007 grad_norm: 7.9638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5075 loss: 1.5075 2022/07/28 15:29:59 - mmengine - INFO - Epoch(train) [110][3400/3757] lr: 3.3722e-03 eta: 1 day, 5:07:34 time: 0.8345 data_time: 0.0180 memory: 17007 grad_norm: 8.4657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4903 loss: 1.4903 2022/07/28 15:30:10 - mmengine - INFO - Epoch(train) [110][3420/3757] lr: 3.3722e-03 eta: 1 day, 5:07:28 time: 0.5782 data_time: 0.1560 memory: 17007 grad_norm: 8.5671 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7669 loss: 1.7669 2022/07/28 15:30:28 - mmengine - INFO - Epoch(train) [110][3440/3757] lr: 3.3722e-03 eta: 1 day, 5:07:26 time: 0.8643 data_time: 0.2014 memory: 17007 grad_norm: 8.3114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/07/28 15:30:37 - mmengine - INFO - Epoch(train) [110][3460/3757] lr: 3.3722e-03 eta: 1 day, 5:07:19 time: 0.4881 data_time: 0.0149 memory: 17007 grad_norm: 8.1869 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6666 loss: 1.6666 2022/07/28 15:30:51 - mmengine - INFO - Epoch(train) [110][3480/3757] lr: 3.3722e-03 eta: 1 day, 5:07:14 time: 0.6644 data_time: 0.0134 memory: 17007 grad_norm: 8.4694 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9490 loss: 1.9490 2022/07/28 15:30:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 15:31:05 - mmengine - INFO - Epoch(train) [110][3500/3757] lr: 3.3722e-03 eta: 1 day, 5:07:10 time: 0.6972 data_time: 0.0165 memory: 17007 grad_norm: 8.5147 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6785 loss: 1.6785 2022/07/28 15:31:17 - mmengine - INFO - Epoch(train) [110][3520/3757] lr: 3.3722e-03 eta: 1 day, 5:07:05 time: 0.6213 data_time: 0.0522 memory: 17007 grad_norm: 8.4058 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9623 loss: 1.9623 2022/07/28 15:31:31 - mmengine - INFO - Epoch(train) [110][3540/3757] lr: 3.3722e-03 eta: 1 day, 5:07:01 time: 0.6909 data_time: 0.2856 memory: 17007 grad_norm: 8.6233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9139 loss: 1.9139 2022/07/28 15:31:49 - mmengine - INFO - Epoch(train) [110][3560/3757] lr: 3.3722e-03 eta: 1 day, 5:06:59 time: 0.8836 data_time: 0.0175 memory: 17007 grad_norm: 8.1616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0077 loss: 2.0077 2022/07/28 15:32:07 - mmengine - INFO - Epoch(train) [110][3580/3757] lr: 3.3722e-03 eta: 1 day, 5:06:58 time: 0.9302 data_time: 0.3194 memory: 17007 grad_norm: 8.1164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7098 loss: 1.7098 2022/07/28 15:32:27 - mmengine - INFO - Epoch(train) [110][3600/3757] lr: 3.3722e-03 eta: 1 day, 5:06:58 time: 1.0035 data_time: 0.1173 memory: 17007 grad_norm: 8.5194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9528 loss: 1.9528 2022/07/28 15:32:39 - mmengine - INFO - Epoch(train) [110][3620/3757] lr: 3.3722e-03 eta: 1 day, 5:06:52 time: 0.5892 data_time: 0.0172 memory: 17007 grad_norm: 8.6203 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8684 loss: 1.8684 2022/07/28 15:32:51 - mmengine - INFO - Epoch(train) [110][3640/3757] lr: 3.3722e-03 eta: 1 day, 5:06:47 time: 0.5949 data_time: 0.0149 memory: 17007 grad_norm: 8.6262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5618 loss: 1.5618 2022/07/28 15:33:03 - mmengine - INFO - Epoch(train) [110][3660/3757] lr: 3.3722e-03 eta: 1 day, 5:06:41 time: 0.5708 data_time: 0.0816 memory: 17007 grad_norm: 8.2972 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9515 loss: 1.9515 2022/07/28 15:33:26 - mmengine - INFO - Epoch(train) [110][3680/3757] lr: 3.3722e-03 eta: 1 day, 5:06:43 time: 1.1546 data_time: 0.0172 memory: 17007 grad_norm: 8.8013 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7608 loss: 1.7608 2022/07/28 15:33:36 - mmengine - INFO - Epoch(train) [110][3700/3757] lr: 3.3722e-03 eta: 1 day, 5:06:36 time: 0.5231 data_time: 0.0289 memory: 17007 grad_norm: 8.5408 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7418 loss: 1.7418 2022/07/28 15:33:47 - mmengine - INFO - Epoch(train) [110][3720/3757] lr: 3.3722e-03 eta: 1 day, 5:06:30 time: 0.5611 data_time: 0.0175 memory: 17007 grad_norm: 8.6505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1097 loss: 2.1097 2022/07/28 15:33:59 - mmengine - INFO - Epoch(train) [110][3740/3757] lr: 3.3722e-03 eta: 1 day, 5:06:25 time: 0.5821 data_time: 0.0222 memory: 17007 grad_norm: 8.0737 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0734 loss: 2.0734 2022/07/28 15:34:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 15:34:11 - mmengine - INFO - Epoch(train) [110][3757/3757] lr: 3.3722e-03 eta: 1 day, 5:06:25 time: 0.6537 data_time: 0.2240 memory: 17007 grad_norm: 8.2849 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.2680 loss: 2.2680 2022/07/28 15:34:11 - mmengine - INFO - Saving checkpoint at 110 epochs 2022/07/28 15:34:38 - mmengine - INFO - Epoch(train) [111][20/3757] lr: 3.2899e-03 eta: 1 day, 5:06:16 time: 1.2359 data_time: 0.6114 memory: 17007 grad_norm: 8.1973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7176 loss: 1.7176 2022/07/28 15:34:53 - mmengine - INFO - Epoch(train) [111][40/3757] lr: 3.2899e-03 eta: 1 day, 5:06:13 time: 0.7835 data_time: 0.0195 memory: 17007 grad_norm: 8.2684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9556 loss: 1.9556 2022/07/28 15:35:04 - mmengine - INFO - Epoch(train) [111][60/3757] lr: 3.2899e-03 eta: 1 day, 5:06:07 time: 0.5032 data_time: 0.0158 memory: 17007 grad_norm: 8.4092 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9990 loss: 1.9990 2022/07/28 15:35:16 - mmengine - INFO - Epoch(train) [111][80/3757] lr: 3.2899e-03 eta: 1 day, 5:06:01 time: 0.6041 data_time: 0.0160 memory: 17007 grad_norm: 8.0334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7404 loss: 1.7404 2022/07/28 15:35:31 - mmengine - INFO - Epoch(train) [111][100/3757] lr: 3.2899e-03 eta: 1 day, 5:05:58 time: 0.7831 data_time: 0.0156 memory: 17007 grad_norm: 8.4057 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8732 loss: 1.8732 2022/07/28 15:35:43 - mmengine - INFO - Epoch(train) [111][120/3757] lr: 3.2899e-03 eta: 1 day, 5:05:53 time: 0.5966 data_time: 0.0184 memory: 17007 grad_norm: 8.0345 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9138 loss: 1.9138 2022/07/28 15:36:00 - mmengine - INFO - Epoch(train) [111][140/3757] lr: 3.2899e-03 eta: 1 day, 5:05:50 time: 0.8429 data_time: 0.0168 memory: 17007 grad_norm: 8.4234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7676 loss: 1.7676 2022/07/28 15:36:11 - mmengine - INFO - Epoch(train) [111][160/3757] lr: 3.2899e-03 eta: 1 day, 5:05:44 time: 0.5339 data_time: 0.0174 memory: 17007 grad_norm: 8.2412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7156 loss: 1.7156 2022/07/28 15:36:25 - mmengine - INFO - Epoch(train) [111][180/3757] lr: 3.2899e-03 eta: 1 day, 5:05:40 time: 0.7251 data_time: 0.0158 memory: 17007 grad_norm: 8.2649 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9152 loss: 1.9152 2022/07/28 15:36:40 - mmengine - INFO - Epoch(train) [111][200/3757] lr: 3.2899e-03 eta: 1 day, 5:05:36 time: 0.7230 data_time: 0.0160 memory: 17007 grad_norm: 8.1676 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7623 loss: 1.7623 2022/07/28 15:36:54 - mmengine - INFO - Epoch(train) [111][220/3757] lr: 3.2899e-03 eta: 1 day, 5:05:32 time: 0.7109 data_time: 0.0231 memory: 17007 grad_norm: 7.9177 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6797 loss: 1.6797 2022/07/28 15:37:06 - mmengine - INFO - Epoch(train) [111][240/3757] lr: 3.2899e-03 eta: 1 day, 5:05:27 time: 0.5846 data_time: 0.0189 memory: 17007 grad_norm: 8.3014 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8695 loss: 1.8695 2022/07/28 15:37:17 - mmengine - INFO - Epoch(train) [111][260/3757] lr: 3.2899e-03 eta: 1 day, 5:05:21 time: 0.5393 data_time: 0.0170 memory: 17007 grad_norm: 8.5997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7857 loss: 1.7857 2022/07/28 15:37:28 - mmengine - INFO - Epoch(train) [111][280/3757] lr: 3.2899e-03 eta: 1 day, 5:05:15 time: 0.5823 data_time: 0.0170 memory: 17007 grad_norm: 8.2527 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8481 loss: 1.8481 2022/07/28 15:37:42 - mmengine - INFO - Epoch(train) [111][300/3757] lr: 3.2899e-03 eta: 1 day, 5:05:11 time: 0.7003 data_time: 0.0180 memory: 17007 grad_norm: 8.0408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4892 loss: 1.4892 2022/07/28 15:37:57 - mmengine - INFO - Epoch(train) [111][320/3757] lr: 3.2899e-03 eta: 1 day, 5:05:07 time: 0.7340 data_time: 0.0359 memory: 17007 grad_norm: 8.4295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6253 loss: 1.6253 2022/07/28 15:38:09 - mmengine - INFO - Epoch(train) [111][340/3757] lr: 3.2899e-03 eta: 1 day, 5:05:02 time: 0.6038 data_time: 0.0154 memory: 17007 grad_norm: 8.4472 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7008 loss: 1.7008 2022/07/28 15:38:19 - mmengine - INFO - Epoch(train) [111][360/3757] lr: 3.2899e-03 eta: 1 day, 5:04:55 time: 0.4988 data_time: 0.0180 memory: 17007 grad_norm: 8.3958 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7832 loss: 1.7832 2022/07/28 15:38:31 - mmengine - INFO - Epoch(train) [111][380/3757] lr: 3.2899e-03 eta: 1 day, 5:04:50 time: 0.5927 data_time: 0.0128 memory: 17007 grad_norm: 8.4142 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6703 loss: 1.6703 2022/07/28 15:38:45 - mmengine - INFO - Epoch(train) [111][400/3757] lr: 3.2899e-03 eta: 1 day, 5:04:46 time: 0.7212 data_time: 0.3319 memory: 17007 grad_norm: 8.1085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6733 loss: 1.6733 2022/07/28 15:39:00 - mmengine - INFO - Epoch(train) [111][420/3757] lr: 3.2899e-03 eta: 1 day, 5:04:42 time: 0.7516 data_time: 0.0180 memory: 17007 grad_norm: 8.0110 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7988 loss: 1.7988 2022/07/28 15:39:10 - mmengine - INFO - Epoch(train) [111][440/3757] lr: 3.2899e-03 eta: 1 day, 5:04:36 time: 0.5050 data_time: 0.0141 memory: 17007 grad_norm: 8.3381 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5872 loss: 1.5872 2022/07/28 15:39:23 - mmengine - INFO - Epoch(train) [111][460/3757] lr: 3.2899e-03 eta: 1 day, 5:04:30 time: 0.6125 data_time: 0.0186 memory: 17007 grad_norm: 8.7047 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7157 loss: 1.7157 2022/07/28 15:39:35 - mmengine - INFO - Epoch(train) [111][480/3757] lr: 3.2899e-03 eta: 1 day, 5:04:25 time: 0.6103 data_time: 0.1042 memory: 17007 grad_norm: 8.3764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7294 loss: 1.7294 2022/07/28 15:39:43 - mmengine - INFO - Epoch(train) [111][500/3757] lr: 3.2899e-03 eta: 1 day, 5:04:17 time: 0.4120 data_time: 0.0292 memory: 17007 grad_norm: 8.8196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8617 loss: 1.8617 2022/07/28 15:39:51 - mmengine - INFO - Epoch(train) [111][520/3757] lr: 3.2899e-03 eta: 1 day, 5:04:09 time: 0.3936 data_time: 0.0142 memory: 17007 grad_norm: 8.5872 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0686 loss: 2.0686 2022/07/28 15:39:59 - mmengine - INFO - Epoch(train) [111][540/3757] lr: 3.2899e-03 eta: 1 day, 5:04:01 time: 0.3953 data_time: 0.0157 memory: 17007 grad_norm: 8.5249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9426 loss: 1.9426 2022/07/28 15:40:07 - mmengine - INFO - Epoch(train) [111][560/3757] lr: 3.2899e-03 eta: 1 day, 5:03:53 time: 0.4042 data_time: 0.0147 memory: 17007 grad_norm: 8.6300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8452 loss: 1.8452 2022/07/28 15:40:15 - mmengine - INFO - Epoch(train) [111][580/3757] lr: 3.2899e-03 eta: 1 day, 5:03:45 time: 0.3960 data_time: 0.0162 memory: 17007 grad_norm: 8.3632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8020 loss: 1.8020 2022/07/28 15:40:23 - mmengine - INFO - Epoch(train) [111][600/3757] lr: 3.2899e-03 eta: 1 day, 5:03:38 time: 0.4120 data_time: 0.0146 memory: 17007 grad_norm: 8.5866 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6523 loss: 1.6523 2022/07/28 15:40:31 - mmengine - INFO - Epoch(train) [111][620/3757] lr: 3.2899e-03 eta: 1 day, 5:03:30 time: 0.3959 data_time: 0.0163 memory: 17007 grad_norm: 8.6194 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6884 loss: 1.6884 2022/07/28 15:40:39 - mmengine - INFO - Epoch(train) [111][640/3757] lr: 3.2899e-03 eta: 1 day, 5:03:21 time: 0.3935 data_time: 0.0143 memory: 17007 grad_norm: 8.4482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6785 loss: 1.6785 2022/07/28 15:40:47 - mmengine - INFO - Epoch(train) [111][660/3757] lr: 3.2899e-03 eta: 1 day, 5:03:13 time: 0.3985 data_time: 0.0163 memory: 17007 grad_norm: 8.5356 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8506 loss: 1.8506 2022/07/28 15:40:55 - mmengine - INFO - Epoch(train) [111][680/3757] lr: 3.2899e-03 eta: 1 day, 5:03:06 time: 0.4001 data_time: 0.0151 memory: 17007 grad_norm: 8.0412 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5706 loss: 1.5706 2022/07/28 15:41:03 - mmengine - INFO - Epoch(train) [111][700/3757] lr: 3.2899e-03 eta: 1 day, 5:02:58 time: 0.4098 data_time: 0.0168 memory: 17007 grad_norm: 8.1525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5016 loss: 1.5016 2022/07/28 15:41:11 - mmengine - INFO - Epoch(train) [111][720/3757] lr: 3.2899e-03 eta: 1 day, 5:02:50 time: 0.3941 data_time: 0.0163 memory: 17007 grad_norm: 8.2690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9146 loss: 1.9146 2022/07/28 15:41:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 15:41:22 - mmengine - INFO - Epoch(train) [111][740/3757] lr: 3.2899e-03 eta: 1 day, 5:02:44 time: 0.5512 data_time: 0.0143 memory: 17007 grad_norm: 7.9720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8913 loss: 1.8913 2022/07/28 15:41:32 - mmengine - INFO - Epoch(train) [111][760/3757] lr: 3.2899e-03 eta: 1 day, 5:02:37 time: 0.5058 data_time: 0.0147 memory: 17007 grad_norm: 8.1747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5545 loss: 1.5545 2022/07/28 15:41:47 - mmengine - INFO - Epoch(train) [111][780/3757] lr: 3.2899e-03 eta: 1 day, 5:02:33 time: 0.7468 data_time: 0.0164 memory: 17007 grad_norm: 8.2300 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8203 loss: 1.8203 2022/07/28 15:41:57 - mmengine - INFO - Epoch(train) [111][800/3757] lr: 3.2899e-03 eta: 1 day, 5:02:27 time: 0.4935 data_time: 0.0186 memory: 17007 grad_norm: 8.4146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6280 loss: 1.6280 2022/07/28 15:42:08 - mmengine - INFO - Epoch(train) [111][820/3757] lr: 3.2899e-03 eta: 1 day, 5:02:21 time: 0.5441 data_time: 0.0126 memory: 17007 grad_norm: 8.3258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7030 loss: 1.7030 2022/07/28 15:42:20 - mmengine - INFO - Epoch(train) [111][840/3757] lr: 3.2899e-03 eta: 1 day, 5:02:15 time: 0.6057 data_time: 0.0169 memory: 17007 grad_norm: 8.6276 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5627 loss: 1.5627 2022/07/28 15:42:32 - mmengine - INFO - Epoch(train) [111][860/3757] lr: 3.2899e-03 eta: 1 day, 5:02:09 time: 0.5776 data_time: 0.1065 memory: 17007 grad_norm: 8.2631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8625 loss: 1.8625 2022/07/28 15:42:47 - mmengine - INFO - Epoch(train) [111][880/3757] lr: 3.2899e-03 eta: 1 day, 5:02:06 time: 0.7405 data_time: 0.0165 memory: 17007 grad_norm: 8.5534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6312 loss: 1.6312 2022/07/28 15:42:57 - mmengine - INFO - Epoch(train) [111][900/3757] lr: 3.2899e-03 eta: 1 day, 5:01:59 time: 0.5032 data_time: 0.0179 memory: 17007 grad_norm: 8.2153 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0079 loss: 2.0079 2022/07/28 15:43:08 - mmengine - INFO - Epoch(train) [111][920/3757] lr: 3.2899e-03 eta: 1 day, 5:01:53 time: 0.5758 data_time: 0.0177 memory: 17007 grad_norm: 8.1084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4452 loss: 1.4452 2022/07/28 15:43:20 - mmengine - INFO - Epoch(train) [111][940/3757] lr: 3.2899e-03 eta: 1 day, 5:01:48 time: 0.5811 data_time: 0.0141 memory: 17007 grad_norm: 8.3245 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8268 loss: 1.8268 2022/07/28 15:43:30 - mmengine - INFO - Epoch(train) [111][960/3757] lr: 3.2899e-03 eta: 1 day, 5:01:41 time: 0.5142 data_time: 0.0174 memory: 17007 grad_norm: 8.7363 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0703 loss: 2.0703 2022/07/28 15:43:45 - mmengine - INFO - Epoch(train) [111][980/3757] lr: 3.2899e-03 eta: 1 day, 5:01:38 time: 0.7513 data_time: 0.0199 memory: 17007 grad_norm: 8.2597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4883 loss: 1.4883 2022/07/28 15:43:55 - mmengine - INFO - Epoch(train) [111][1000/3757] lr: 3.2899e-03 eta: 1 day, 5:01:31 time: 0.4982 data_time: 0.0922 memory: 17007 grad_norm: 8.1489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8153 loss: 1.8153 2022/07/28 15:44:13 - mmengine - INFO - Epoch(train) [111][1020/3757] lr: 3.2899e-03 eta: 1 day, 5:01:29 time: 0.8779 data_time: 0.4272 memory: 17007 grad_norm: 8.3432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5599 loss: 1.5599 2022/07/28 15:44:25 - mmengine - INFO - Epoch(train) [111][1040/3757] lr: 3.2899e-03 eta: 1 day, 5:01:24 time: 0.6247 data_time: 0.0840 memory: 17007 grad_norm: 8.6102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7802 loss: 1.7802 2022/07/28 15:44:38 - mmengine - INFO - Epoch(train) [111][1060/3757] lr: 3.2899e-03 eta: 1 day, 5:01:19 time: 0.6326 data_time: 0.0152 memory: 17007 grad_norm: 8.5097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7972 loss: 1.7972 2022/07/28 15:44:46 - mmengine - INFO - Epoch(train) [111][1080/3757] lr: 3.2899e-03 eta: 1 day, 5:01:11 time: 0.4063 data_time: 0.0167 memory: 17007 grad_norm: 8.5724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7063 loss: 1.7063 2022/07/28 15:44:54 - mmengine - INFO - Epoch(train) [111][1100/3757] lr: 3.2899e-03 eta: 1 day, 5:01:03 time: 0.3965 data_time: 0.0140 memory: 17007 grad_norm: 8.3920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7000 loss: 1.7000 2022/07/28 15:45:02 - mmengine - INFO - Epoch(train) [111][1120/3757] lr: 3.2899e-03 eta: 1 day, 5:00:55 time: 0.3953 data_time: 0.0165 memory: 17007 grad_norm: 8.3980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0768 loss: 2.0768 2022/07/28 15:45:10 - mmengine - INFO - Epoch(train) [111][1140/3757] lr: 3.2899e-03 eta: 1 day, 5:00:47 time: 0.3962 data_time: 0.0132 memory: 17007 grad_norm: 8.5024 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0488 loss: 2.0488 2022/07/28 15:45:18 - mmengine - INFO - Epoch(train) [111][1160/3757] lr: 3.2899e-03 eta: 1 day, 5:00:39 time: 0.4006 data_time: 0.0181 memory: 17007 grad_norm: 8.3979 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9842 loss: 1.9842 2022/07/28 15:45:26 - mmengine - INFO - Epoch(train) [111][1180/3757] lr: 3.2899e-03 eta: 1 day, 5:00:31 time: 0.3967 data_time: 0.0127 memory: 17007 grad_norm: 8.5409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8715 loss: 1.8715 2022/07/28 15:45:34 - mmengine - INFO - Epoch(train) [111][1200/3757] lr: 3.2899e-03 eta: 1 day, 5:00:23 time: 0.3973 data_time: 0.0168 memory: 17007 grad_norm: 8.5428 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5899 loss: 1.5899 2022/07/28 15:45:42 - mmengine - INFO - Epoch(train) [111][1220/3757] lr: 3.2899e-03 eta: 1 day, 5:00:15 time: 0.3936 data_time: 0.0131 memory: 17007 grad_norm: 7.8549 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5730 loss: 1.5730 2022/07/28 15:45:50 - mmengine - INFO - Epoch(train) [111][1240/3757] lr: 3.2899e-03 eta: 1 day, 5:00:07 time: 0.4219 data_time: 0.0149 memory: 17007 grad_norm: 8.3319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9274 loss: 1.9274 2022/07/28 15:45:58 - mmengine - INFO - Epoch(train) [111][1260/3757] lr: 3.2899e-03 eta: 1 day, 4:59:59 time: 0.4012 data_time: 0.0125 memory: 17007 grad_norm: 8.5674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5238 loss: 1.5238 2022/07/28 15:46:08 - mmengine - INFO - Epoch(train) [111][1280/3757] lr: 3.2899e-03 eta: 1 day, 4:59:53 time: 0.4939 data_time: 0.0153 memory: 17007 grad_norm: 8.4310 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8518 loss: 1.8518 2022/07/28 15:46:20 - mmengine - INFO - Epoch(train) [111][1300/3757] lr: 3.2899e-03 eta: 1 day, 4:59:47 time: 0.5891 data_time: 0.0242 memory: 17007 grad_norm: 8.1184 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6105 loss: 1.6105 2022/07/28 15:46:34 - mmengine - INFO - Epoch(train) [111][1320/3757] lr: 3.2899e-03 eta: 1 day, 4:59:43 time: 0.7097 data_time: 0.0249 memory: 17007 grad_norm: 8.2590 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7596 loss: 1.7596 2022/07/28 15:46:45 - mmengine - INFO - Epoch(train) [111][1340/3757] lr: 3.2899e-03 eta: 1 day, 4:59:37 time: 0.5506 data_time: 0.0180 memory: 17007 grad_norm: 8.5617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7457 loss: 1.7457 2022/07/28 15:46:57 - mmengine - INFO - Epoch(train) [111][1360/3757] lr: 3.2899e-03 eta: 1 day, 4:59:31 time: 0.5831 data_time: 0.0177 memory: 17007 grad_norm: 8.4124 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6445 loss: 1.6445 2022/07/28 15:47:08 - mmengine - INFO - Epoch(train) [111][1380/3757] lr: 3.2899e-03 eta: 1 day, 4:59:25 time: 0.5669 data_time: 0.0175 memory: 17007 grad_norm: 8.4671 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8051 loss: 1.8051 2022/07/28 15:47:21 - mmengine - INFO - Epoch(train) [111][1400/3757] lr: 3.2899e-03 eta: 1 day, 4:59:20 time: 0.6209 data_time: 0.0161 memory: 17007 grad_norm: 8.4058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7004 loss: 1.7004 2022/07/28 15:47:32 - mmengine - INFO - Epoch(train) [111][1420/3757] lr: 3.2899e-03 eta: 1 day, 4:59:14 time: 0.5555 data_time: 0.0374 memory: 17007 grad_norm: 8.3170 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6179 loss: 1.6179 2022/07/28 15:47:49 - mmengine - INFO - Epoch(train) [111][1440/3757] lr: 3.2899e-03 eta: 1 day, 4:59:12 time: 0.8559 data_time: 0.1430 memory: 17007 grad_norm: 8.1532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6051 loss: 1.6051 2022/07/28 15:47:59 - mmengine - INFO - Epoch(train) [111][1460/3757] lr: 3.2899e-03 eta: 1 day, 4:59:06 time: 0.5240 data_time: 0.0157 memory: 17007 grad_norm: 8.2357 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5352 loss: 1.5352 2022/07/28 15:48:12 - mmengine - INFO - Epoch(train) [111][1480/3757] lr: 3.2899e-03 eta: 1 day, 4:59:00 time: 0.6285 data_time: 0.0180 memory: 17007 grad_norm: 8.4201 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0490 loss: 2.0490 2022/07/28 15:48:22 - mmengine - INFO - Epoch(train) [111][1500/3757] lr: 3.2899e-03 eta: 1 day, 4:58:54 time: 0.5110 data_time: 0.0387 memory: 17007 grad_norm: 8.2288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6423 loss: 1.6423 2022/07/28 15:48:41 - mmengine - INFO - Epoch(train) [111][1520/3757] lr: 3.2899e-03 eta: 1 day, 4:58:53 time: 0.9218 data_time: 0.0886 memory: 17007 grad_norm: 8.1365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4333 loss: 1.4333 2022/07/28 15:48:53 - mmengine - INFO - Epoch(train) [111][1540/3757] lr: 3.2899e-03 eta: 1 day, 4:58:47 time: 0.5982 data_time: 0.0141 memory: 17007 grad_norm: 8.5839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7253 loss: 1.7253 2022/07/28 15:49:03 - mmengine - INFO - Epoch(train) [111][1560/3757] lr: 3.2899e-03 eta: 1 day, 4:58:40 time: 0.5014 data_time: 0.1074 memory: 17007 grad_norm: 8.6303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6505 loss: 1.6505 2022/07/28 15:49:16 - mmengine - INFO - Epoch(train) [111][1580/3757] lr: 3.2899e-03 eta: 1 day, 4:58:36 time: 0.6488 data_time: 0.1551 memory: 17007 grad_norm: 8.1755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8620 loss: 1.8620 2022/07/28 15:49:25 - mmengine - INFO - Epoch(train) [111][1600/3757] lr: 3.2899e-03 eta: 1 day, 4:58:29 time: 0.4876 data_time: 0.0253 memory: 17007 grad_norm: 8.4694 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7643 loss: 1.7643 2022/07/28 15:49:41 - mmengine - INFO - Epoch(train) [111][1620/3757] lr: 3.2899e-03 eta: 1 day, 4:58:26 time: 0.7839 data_time: 0.0118 memory: 17007 grad_norm: 8.2644 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8644 loss: 1.8644 2022/07/28 15:49:52 - mmengine - INFO - Epoch(train) [111][1640/3757] lr: 3.2899e-03 eta: 1 day, 4:58:19 time: 0.5414 data_time: 0.0178 memory: 17007 grad_norm: 8.3122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7574 loss: 1.7574 2022/07/28 15:50:10 - mmengine - INFO - Epoch(train) [111][1660/3757] lr: 3.2899e-03 eta: 1 day, 4:58:18 time: 0.9209 data_time: 0.0199 memory: 17007 grad_norm: 8.3050 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5836 loss: 1.5836 2022/07/28 15:50:22 - mmengine - INFO - Epoch(train) [111][1680/3757] lr: 3.2899e-03 eta: 1 day, 4:58:12 time: 0.5872 data_time: 0.1051 memory: 17007 grad_norm: 8.0522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5535 loss: 1.5535 2022/07/28 15:50:37 - mmengine - INFO - Epoch(train) [111][1700/3757] lr: 3.2899e-03 eta: 1 day, 4:58:09 time: 0.7526 data_time: 0.0181 memory: 17007 grad_norm: 8.2631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5827 loss: 1.5827 2022/07/28 15:50:49 - mmengine - INFO - Epoch(train) [111][1720/3757] lr: 3.2899e-03 eta: 1 day, 4:58:03 time: 0.5737 data_time: 0.1031 memory: 17007 grad_norm: 8.8564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7834 loss: 1.7834 2022/07/28 15:50:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 15:51:01 - mmengine - INFO - Epoch(train) [111][1740/3757] lr: 3.2899e-03 eta: 1 day, 4:57:58 time: 0.5998 data_time: 0.0168 memory: 17007 grad_norm: 8.6820 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9635 loss: 1.9635 2022/07/28 15:51:14 - mmengine - INFO - Epoch(train) [111][1760/3757] lr: 3.2899e-03 eta: 1 day, 4:57:53 time: 0.6765 data_time: 0.1982 memory: 17007 grad_norm: 8.7370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9383 loss: 1.9383 2022/07/28 15:51:26 - mmengine - INFO - Epoch(train) [111][1780/3757] lr: 3.2899e-03 eta: 1 day, 4:57:47 time: 0.5854 data_time: 0.0149 memory: 17007 grad_norm: 8.5200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5993 loss: 1.5993 2022/07/28 15:51:39 - mmengine - INFO - Epoch(train) [111][1800/3757] lr: 3.2899e-03 eta: 1 day, 4:57:43 time: 0.6549 data_time: 0.0199 memory: 17007 grad_norm: 8.6276 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9052 loss: 1.9052 2022/07/28 15:51:59 - mmengine - INFO - Epoch(train) [111][1820/3757] lr: 3.2899e-03 eta: 1 day, 4:57:42 time: 1.0000 data_time: 0.0189 memory: 17007 grad_norm: 8.1244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7293 loss: 1.7293 2022/07/28 15:52:11 - mmengine - INFO - Epoch(train) [111][1840/3757] lr: 3.2899e-03 eta: 1 day, 4:57:37 time: 0.5970 data_time: 0.0139 memory: 17007 grad_norm: 8.7064 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9313 loss: 1.9313 2022/07/28 15:52:24 - mmengine - INFO - Epoch(train) [111][1860/3757] lr: 3.2899e-03 eta: 1 day, 4:57:32 time: 0.6521 data_time: 0.0163 memory: 17007 grad_norm: 8.3889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6264 loss: 1.6264 2022/07/28 15:52:37 - mmengine - INFO - Epoch(train) [111][1880/3757] lr: 3.2899e-03 eta: 1 day, 4:57:27 time: 0.6431 data_time: 0.0203 memory: 17007 grad_norm: 8.0170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7637 loss: 1.7637 2022/07/28 15:53:01 - mmengine - INFO - Epoch(train) [111][1900/3757] lr: 3.2899e-03 eta: 1 day, 4:57:29 time: 1.2067 data_time: 0.0172 memory: 17007 grad_norm: 8.7270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6086 loss: 1.6086 2022/07/28 15:53:13 - mmengine - INFO - Epoch(train) [111][1920/3757] lr: 3.2899e-03 eta: 1 day, 4:57:24 time: 0.5827 data_time: 0.1095 memory: 17007 grad_norm: 8.7705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5648 loss: 1.5648 2022/07/28 15:53:27 - mmengine - INFO - Epoch(train) [111][1940/3757] lr: 3.2899e-03 eta: 1 day, 4:57:19 time: 0.6933 data_time: 0.0138 memory: 17007 grad_norm: 8.3758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6094 loss: 1.6094 2022/07/28 15:53:38 - mmengine - INFO - Epoch(train) [111][1960/3757] lr: 3.2899e-03 eta: 1 day, 4:57:14 time: 0.5936 data_time: 0.0202 memory: 17007 grad_norm: 8.6941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7910 loss: 1.7910 2022/07/28 15:53:52 - mmengine - INFO - Epoch(train) [111][1980/3757] lr: 3.2899e-03 eta: 1 day, 4:57:09 time: 0.6918 data_time: 0.0161 memory: 17007 grad_norm: 8.1717 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7007 loss: 1.7007 2022/07/28 15:54:03 - mmengine - INFO - Epoch(train) [111][2000/3757] lr: 3.2899e-03 eta: 1 day, 4:57:03 time: 0.5362 data_time: 0.0232 memory: 17007 grad_norm: 8.7145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7743 loss: 1.7743 2022/07/28 15:54:18 - mmengine - INFO - Epoch(train) [111][2020/3757] lr: 3.2899e-03 eta: 1 day, 4:56:59 time: 0.7415 data_time: 0.2903 memory: 17007 grad_norm: 8.3738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6832 loss: 1.6832 2022/07/28 15:54:35 - mmengine - INFO - Epoch(train) [111][2040/3757] lr: 3.2899e-03 eta: 1 day, 4:56:57 time: 0.8485 data_time: 0.0165 memory: 17007 grad_norm: 8.3987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8517 loss: 1.8517 2022/07/28 15:54:47 - mmengine - INFO - Epoch(train) [111][2060/3757] lr: 3.2899e-03 eta: 1 day, 4:56:51 time: 0.5801 data_time: 0.0290 memory: 17007 grad_norm: 8.4407 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9180 loss: 1.9180 2022/07/28 15:55:04 - mmengine - INFO - Epoch(train) [111][2080/3757] lr: 3.2899e-03 eta: 1 day, 4:56:49 time: 0.8650 data_time: 0.0151 memory: 17007 grad_norm: 8.4917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6222 loss: 1.6222 2022/07/28 15:55:16 - mmengine - INFO - Epoch(train) [111][2100/3757] lr: 3.2899e-03 eta: 1 day, 4:56:44 time: 0.5924 data_time: 0.1357 memory: 17007 grad_norm: 8.4944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6200 loss: 1.6200 2022/07/28 15:55:30 - mmengine - INFO - Epoch(train) [111][2120/3757] lr: 3.2899e-03 eta: 1 day, 4:56:40 time: 0.7304 data_time: 0.0161 memory: 17007 grad_norm: 8.1198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7878 loss: 1.7878 2022/07/28 15:55:47 - mmengine - INFO - Epoch(train) [111][2140/3757] lr: 3.2899e-03 eta: 1 day, 4:56:38 time: 0.8557 data_time: 0.0904 memory: 17007 grad_norm: 8.1963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8376 loss: 1.8376 2022/07/28 15:56:00 - mmengine - INFO - Epoch(train) [111][2160/3757] lr: 3.2899e-03 eta: 1 day, 4:56:33 time: 0.6514 data_time: 0.0182 memory: 17007 grad_norm: 8.5559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5253 loss: 1.5253 2022/07/28 15:56:17 - mmengine - INFO - Epoch(train) [111][2180/3757] lr: 3.2899e-03 eta: 1 day, 4:56:30 time: 0.8337 data_time: 0.0186 memory: 17007 grad_norm: 8.6507 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5862 loss: 1.5862 2022/07/28 15:56:31 - mmengine - INFO - Epoch(train) [111][2200/3757] lr: 3.2899e-03 eta: 1 day, 4:56:26 time: 0.6845 data_time: 0.0171 memory: 17007 grad_norm: 8.4067 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8604 loss: 1.8604 2022/07/28 15:56:42 - mmengine - INFO - Epoch(train) [111][2220/3757] lr: 3.2899e-03 eta: 1 day, 4:56:20 time: 0.5688 data_time: 0.0396 memory: 17007 grad_norm: 8.7261 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9524 loss: 1.9524 2022/07/28 15:56:56 - mmengine - INFO - Epoch(train) [111][2240/3757] lr: 3.2899e-03 eta: 1 day, 4:56:15 time: 0.6637 data_time: 0.0205 memory: 17007 grad_norm: 8.6352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8414 loss: 1.8414 2022/07/28 15:57:06 - mmengine - INFO - Epoch(train) [111][2260/3757] lr: 3.2899e-03 eta: 1 day, 4:56:09 time: 0.5144 data_time: 0.1370 memory: 17007 grad_norm: 8.3830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9292 loss: 1.9292 2022/07/28 15:57:17 - mmengine - INFO - Epoch(train) [111][2280/3757] lr: 3.2899e-03 eta: 1 day, 4:56:03 time: 0.5478 data_time: 0.0871 memory: 17007 grad_norm: 8.2823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7901 loss: 1.7901 2022/07/28 15:57:29 - mmengine - INFO - Epoch(train) [111][2300/3757] lr: 3.2899e-03 eta: 1 day, 4:55:57 time: 0.6036 data_time: 0.0195 memory: 17007 grad_norm: 8.4472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6496 loss: 1.6496 2022/07/28 15:57:44 - mmengine - INFO - Epoch(train) [111][2320/3757] lr: 3.2899e-03 eta: 1 day, 4:55:54 time: 0.7526 data_time: 0.0237 memory: 17007 grad_norm: 8.7769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9158 loss: 1.9158 2022/07/28 15:57:52 - mmengine - INFO - Epoch(train) [111][2340/3757] lr: 3.2899e-03 eta: 1 day, 4:55:46 time: 0.4016 data_time: 0.0197 memory: 17007 grad_norm: 8.9923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0551 loss: 2.0551 2022/07/28 15:58:01 - mmengine - INFO - Epoch(train) [111][2360/3757] lr: 3.2899e-03 eta: 1 day, 4:55:38 time: 0.4608 data_time: 0.0119 memory: 17007 grad_norm: 8.4440 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9588 loss: 1.9588 2022/07/28 15:58:09 - mmengine - INFO - Epoch(train) [111][2380/3757] lr: 3.2899e-03 eta: 1 day, 4:55:30 time: 0.4001 data_time: 0.0186 memory: 17007 grad_norm: 8.5528 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6976 loss: 1.6976 2022/07/28 15:58:17 - mmengine - INFO - Epoch(train) [111][2400/3757] lr: 3.2899e-03 eta: 1 day, 4:55:22 time: 0.3932 data_time: 0.0128 memory: 17007 grad_norm: 8.4637 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9683 loss: 1.9683 2022/07/28 15:58:25 - mmengine - INFO - Epoch(train) [111][2420/3757] lr: 3.2899e-03 eta: 1 day, 4:55:14 time: 0.4065 data_time: 0.0181 memory: 17007 grad_norm: 8.2118 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5983 loss: 1.5983 2022/07/28 15:58:33 - mmengine - INFO - Epoch(train) [111][2440/3757] lr: 3.2899e-03 eta: 1 day, 4:55:06 time: 0.3935 data_time: 0.0125 memory: 17007 grad_norm: 8.9426 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7054 loss: 1.7054 2022/07/28 15:58:41 - mmengine - INFO - Epoch(train) [111][2460/3757] lr: 3.2899e-03 eta: 1 day, 4:54:58 time: 0.3975 data_time: 0.0160 memory: 17007 grad_norm: 8.8250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7637 loss: 1.7637 2022/07/28 15:58:49 - mmengine - INFO - Epoch(train) [111][2480/3757] lr: 3.2899e-03 eta: 1 day, 4:54:50 time: 0.4092 data_time: 0.0136 memory: 17007 grad_norm: 9.0271 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0508 loss: 2.0508 2022/07/28 15:58:57 - mmengine - INFO - Epoch(train) [111][2500/3757] lr: 3.2899e-03 eta: 1 day, 4:54:43 time: 0.4009 data_time: 0.0163 memory: 17007 grad_norm: 8.3411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5702 loss: 1.5702 2022/07/28 15:59:05 - mmengine - INFO - Epoch(train) [111][2520/3757] lr: 3.2899e-03 eta: 1 day, 4:54:34 time: 0.3954 data_time: 0.0144 memory: 17007 grad_norm: 8.2290 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5942 loss: 1.5942 2022/07/28 15:59:13 - mmengine - INFO - Epoch(train) [111][2540/3757] lr: 3.2899e-03 eta: 1 day, 4:54:26 time: 0.3954 data_time: 0.0158 memory: 17007 grad_norm: 8.6056 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9224 loss: 1.9224 2022/07/28 15:59:22 - mmengine - INFO - Epoch(train) [111][2560/3757] lr: 3.2899e-03 eta: 1 day, 4:54:19 time: 0.4430 data_time: 0.0154 memory: 17007 grad_norm: 8.5357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6788 loss: 1.6788 2022/07/28 15:59:34 - mmengine - INFO - Epoch(train) [111][2580/3757] lr: 3.2899e-03 eta: 1 day, 4:54:14 time: 0.6134 data_time: 0.0137 memory: 17007 grad_norm: 8.2340 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7861 loss: 1.7861 2022/07/28 15:59:48 - mmengine - INFO - Epoch(train) [111][2600/3757] lr: 3.2899e-03 eta: 1 day, 4:54:09 time: 0.6912 data_time: 0.0184 memory: 17007 grad_norm: 8.6895 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6342 loss: 1.6342 2022/07/28 16:00:04 - mmengine - INFO - Epoch(train) [111][2620/3757] lr: 3.2899e-03 eta: 1 day, 4:54:06 time: 0.7882 data_time: 0.0218 memory: 17007 grad_norm: 8.0396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8348 loss: 1.8348 2022/07/28 16:00:19 - mmengine - INFO - Epoch(train) [111][2640/3757] lr: 3.2899e-03 eta: 1 day, 4:54:03 time: 0.7488 data_time: 0.0194 memory: 17007 grad_norm: 8.2857 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8595 loss: 1.8595 2022/07/28 16:00:30 - mmengine - INFO - Epoch(train) [111][2660/3757] lr: 3.2899e-03 eta: 1 day, 4:53:57 time: 0.5656 data_time: 0.1205 memory: 17007 grad_norm: 8.2801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6185 loss: 1.6185 2022/07/28 16:00:42 - mmengine - INFO - Epoch(train) [111][2680/3757] lr: 3.2899e-03 eta: 1 day, 4:53:51 time: 0.5789 data_time: 0.0999 memory: 17007 grad_norm: 8.5048 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7723 loss: 1.7723 2022/07/28 16:00:52 - mmengine - INFO - Epoch(train) [111][2700/3757] lr: 3.2899e-03 eta: 1 day, 4:53:44 time: 0.4995 data_time: 0.0430 memory: 17007 grad_norm: 8.5979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8751 loss: 1.8751 2022/07/28 16:01:02 - mmengine - INFO - Epoch(train) [111][2720/3757] lr: 3.2899e-03 eta: 1 day, 4:53:38 time: 0.5221 data_time: 0.0129 memory: 17007 grad_norm: 8.4055 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8884 loss: 1.8884 2022/07/28 16:01:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 16:01:13 - mmengine - INFO - Epoch(train) [111][2740/3757] lr: 3.2899e-03 eta: 1 day, 4:53:31 time: 0.5084 data_time: 0.0243 memory: 17007 grad_norm: 8.5048 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8082 loss: 1.8082 2022/07/28 16:01:24 - mmengine - INFO - Epoch(train) [111][2760/3757] lr: 3.2899e-03 eta: 1 day, 4:53:25 time: 0.5807 data_time: 0.0147 memory: 17007 grad_norm: 8.5012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0340 loss: 2.0340 2022/07/28 16:01:36 - mmengine - INFO - Epoch(train) [111][2780/3757] lr: 3.2899e-03 eta: 1 day, 4:53:20 time: 0.5802 data_time: 0.0163 memory: 17007 grad_norm: 8.5588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9896 loss: 1.9896 2022/07/28 16:01:49 - mmengine - INFO - Epoch(train) [111][2800/3757] lr: 3.2899e-03 eta: 1 day, 4:53:15 time: 0.6434 data_time: 0.2382 memory: 17007 grad_norm: 8.6930 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7294 loss: 1.7294 2022/07/28 16:02:01 - mmengine - INFO - Epoch(train) [111][2820/3757] lr: 3.2899e-03 eta: 1 day, 4:53:09 time: 0.5978 data_time: 0.0166 memory: 17007 grad_norm: 8.8179 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7289 loss: 1.7289 2022/07/28 16:02:17 - mmengine - INFO - Epoch(train) [111][2840/3757] lr: 3.2899e-03 eta: 1 day, 4:53:06 time: 0.8023 data_time: 0.0206 memory: 17007 grad_norm: 8.4520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5555 loss: 1.5555 2022/07/28 16:02:31 - mmengine - INFO - Epoch(train) [111][2860/3757] lr: 3.2899e-03 eta: 1 day, 4:53:02 time: 0.7271 data_time: 0.2104 memory: 17007 grad_norm: 8.7422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9437 loss: 1.9437 2022/07/28 16:02:43 - mmengine - INFO - Epoch(train) [111][2880/3757] lr: 3.2899e-03 eta: 1 day, 4:52:57 time: 0.5867 data_time: 0.0126 memory: 17007 grad_norm: 8.3413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5390 loss: 1.5390 2022/07/28 16:02:54 - mmengine - INFO - Epoch(train) [111][2900/3757] lr: 3.2899e-03 eta: 1 day, 4:52:50 time: 0.5376 data_time: 0.0215 memory: 17007 grad_norm: 8.4589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7506 loss: 1.7506 2022/07/28 16:03:07 - mmengine - INFO - Epoch(train) [111][2920/3757] lr: 3.2899e-03 eta: 1 day, 4:52:45 time: 0.6495 data_time: 0.0166 memory: 17007 grad_norm: 8.6370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8763 loss: 1.8763 2022/07/28 16:03:20 - mmengine - INFO - Epoch(train) [111][2940/3757] lr: 3.2899e-03 eta: 1 day, 4:52:41 time: 0.6805 data_time: 0.0182 memory: 17007 grad_norm: 8.2574 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5222 loss: 1.5222 2022/07/28 16:03:32 - mmengine - INFO - Epoch(train) [111][2960/3757] lr: 3.2899e-03 eta: 1 day, 4:52:35 time: 0.5877 data_time: 0.0143 memory: 17007 grad_norm: 8.5820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9503 loss: 1.9503 2022/07/28 16:03:49 - mmengine - INFO - Epoch(train) [111][2980/3757] lr: 3.2899e-03 eta: 1 day, 4:52:33 time: 0.8329 data_time: 0.0534 memory: 17007 grad_norm: 8.4107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8709 loss: 1.8709 2022/07/28 16:03:57 - mmengine - INFO - Epoch(train) [111][3000/3757] lr: 3.2899e-03 eta: 1 day, 4:52:25 time: 0.4240 data_time: 0.0160 memory: 17007 grad_norm: 8.1093 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9042 loss: 1.9042 2022/07/28 16:04:09 - mmengine - INFO - Epoch(train) [111][3020/3757] lr: 3.2899e-03 eta: 1 day, 4:52:19 time: 0.5745 data_time: 0.0435 memory: 17007 grad_norm: 8.3599 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5568 loss: 1.5568 2022/07/28 16:04:25 - mmengine - INFO - Epoch(train) [111][3040/3757] lr: 3.2899e-03 eta: 1 day, 4:52:16 time: 0.7896 data_time: 0.0296 memory: 17007 grad_norm: 8.5601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4710 loss: 1.4710 2022/07/28 16:04:43 - mmengine - INFO - Epoch(train) [111][3060/3757] lr: 3.2899e-03 eta: 1 day, 4:52:15 time: 0.9343 data_time: 0.0180 memory: 17007 grad_norm: 8.1882 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4250 loss: 1.4250 2022/07/28 16:04:55 - mmengine - INFO - Epoch(train) [111][3080/3757] lr: 3.2899e-03 eta: 1 day, 4:52:09 time: 0.5995 data_time: 0.0142 memory: 17007 grad_norm: 8.2304 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1512 loss: 2.1512 2022/07/28 16:05:07 - mmengine - INFO - Epoch(train) [111][3100/3757] lr: 3.2899e-03 eta: 1 day, 4:52:04 time: 0.5812 data_time: 0.0989 memory: 17007 grad_norm: 8.3996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9931 loss: 1.9931 2022/07/28 16:05:21 - mmengine - INFO - Epoch(train) [111][3120/3757] lr: 3.2899e-03 eta: 1 day, 4:52:00 time: 0.7168 data_time: 0.1457 memory: 17007 grad_norm: 8.4865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8056 loss: 1.8056 2022/07/28 16:05:31 - mmengine - INFO - Epoch(train) [111][3140/3757] lr: 3.2899e-03 eta: 1 day, 4:51:53 time: 0.5004 data_time: 0.0152 memory: 17007 grad_norm: 8.0900 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5158 loss: 1.5158 2022/07/28 16:05:43 - mmengine - INFO - Epoch(train) [111][3160/3757] lr: 3.2899e-03 eta: 1 day, 4:51:47 time: 0.5769 data_time: 0.0172 memory: 17007 grad_norm: 8.8374 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0826 loss: 2.0826 2022/07/28 16:05:55 - mmengine - INFO - Epoch(train) [111][3180/3757] lr: 3.2899e-03 eta: 1 day, 4:51:41 time: 0.5999 data_time: 0.0180 memory: 17007 grad_norm: 8.4700 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6665 loss: 1.6665 2022/07/28 16:06:07 - mmengine - INFO - Epoch(train) [111][3200/3757] lr: 3.2899e-03 eta: 1 day, 4:51:36 time: 0.5901 data_time: 0.2030 memory: 17007 grad_norm: 8.3246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8194 loss: 1.8194 2022/07/28 16:06:23 - mmengine - INFO - Epoch(train) [111][3220/3757] lr: 3.2899e-03 eta: 1 day, 4:51:33 time: 0.8078 data_time: 0.3259 memory: 17007 grad_norm: 8.6402 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7941 loss: 1.7941 2022/07/28 16:06:33 - mmengine - INFO - Epoch(train) [111][3240/3757] lr: 3.2899e-03 eta: 1 day, 4:51:26 time: 0.5019 data_time: 0.0512 memory: 17007 grad_norm: 8.3798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9018 loss: 1.9018 2022/07/28 16:06:45 - mmengine - INFO - Epoch(train) [111][3260/3757] lr: 3.2899e-03 eta: 1 day, 4:51:21 time: 0.5870 data_time: 0.0187 memory: 17007 grad_norm: 8.5222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7298 loss: 1.7298 2022/07/28 16:07:02 - mmengine - INFO - Epoch(train) [111][3280/3757] lr: 3.2899e-03 eta: 1 day, 4:51:18 time: 0.8603 data_time: 0.0156 memory: 17007 grad_norm: 8.4181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4719 loss: 1.4719 2022/07/28 16:07:12 - mmengine - INFO - Epoch(train) [111][3300/3757] lr: 3.2899e-03 eta: 1 day, 4:51:11 time: 0.4837 data_time: 0.0600 memory: 17007 grad_norm: 8.4156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5815 loss: 1.5815 2022/07/28 16:07:24 - mmengine - INFO - Epoch(train) [111][3320/3757] lr: 3.2899e-03 eta: 1 day, 4:51:06 time: 0.6008 data_time: 0.0144 memory: 17007 grad_norm: 8.5099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7721 loss: 1.7721 2022/07/28 16:07:34 - mmengine - INFO - Epoch(train) [111][3340/3757] lr: 3.2899e-03 eta: 1 day, 4:50:59 time: 0.5207 data_time: 0.0174 memory: 17007 grad_norm: 8.4149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8287 loss: 1.8287 2022/07/28 16:07:45 - mmengine - INFO - Epoch(train) [111][3360/3757] lr: 3.2899e-03 eta: 1 day, 4:50:53 time: 0.5435 data_time: 0.0379 memory: 17007 grad_norm: 8.6280 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6656 loss: 1.6656 2022/07/28 16:07:58 - mmengine - INFO - Epoch(train) [111][3380/3757] lr: 3.2899e-03 eta: 1 day, 4:50:48 time: 0.6544 data_time: 0.0144 memory: 17007 grad_norm: 8.4186 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7967 loss: 1.7967 2022/07/28 16:08:10 - mmengine - INFO - Epoch(train) [111][3400/3757] lr: 3.2899e-03 eta: 1 day, 4:50:43 time: 0.5937 data_time: 0.0162 memory: 17007 grad_norm: 8.3047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8490 loss: 1.8490 2022/07/28 16:08:18 - mmengine - INFO - Epoch(train) [111][3420/3757] lr: 3.2899e-03 eta: 1 day, 4:50:35 time: 0.4132 data_time: 0.0178 memory: 17007 grad_norm: 8.4383 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6619 loss: 1.6619 2022/07/28 16:08:26 - mmengine - INFO - Epoch(train) [111][3440/3757] lr: 3.2899e-03 eta: 1 day, 4:50:27 time: 0.3948 data_time: 0.0138 memory: 17007 grad_norm: 8.5251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7208 loss: 1.7208 2022/07/28 16:08:34 - mmengine - INFO - Epoch(train) [111][3460/3757] lr: 3.2899e-03 eta: 1 day, 4:50:19 time: 0.3982 data_time: 0.0163 memory: 17007 grad_norm: 8.4007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/07/28 16:08:42 - mmengine - INFO - Epoch(train) [111][3480/3757] lr: 3.2899e-03 eta: 1 day, 4:50:11 time: 0.4001 data_time: 0.0144 memory: 17007 grad_norm: 8.5310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0062 loss: 2.0062 2022/07/28 16:08:50 - mmengine - INFO - Epoch(train) [111][3500/3757] lr: 3.2899e-03 eta: 1 day, 4:50:03 time: 0.4020 data_time: 0.0166 memory: 17007 grad_norm: 8.1639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5621 loss: 1.5621 2022/07/28 16:08:58 - mmengine - INFO - Epoch(train) [111][3520/3757] lr: 3.2899e-03 eta: 1 day, 4:49:55 time: 0.3961 data_time: 0.0126 memory: 17007 grad_norm: 8.3823 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0045 loss: 2.0045 2022/07/28 16:09:06 - mmengine - INFO - Epoch(train) [111][3540/3757] lr: 3.2899e-03 eta: 1 day, 4:49:47 time: 0.3981 data_time: 0.0175 memory: 17007 grad_norm: 8.2551 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7253 loss: 1.7253 2022/07/28 16:09:14 - mmengine - INFO - Epoch(train) [111][3560/3757] lr: 3.2899e-03 eta: 1 day, 4:49:39 time: 0.3947 data_time: 0.0146 memory: 17007 grad_norm: 8.0989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6496 loss: 1.6496 2022/07/28 16:09:22 - mmengine - INFO - Epoch(train) [111][3580/3757] lr: 3.2899e-03 eta: 1 day, 4:49:31 time: 0.4035 data_time: 0.0159 memory: 17007 grad_norm: 8.5166 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9798 loss: 1.9798 2022/07/28 16:09:30 - mmengine - INFO - Epoch(train) [111][3600/3757] lr: 3.2899e-03 eta: 1 day, 4:49:23 time: 0.3987 data_time: 0.0166 memory: 17007 grad_norm: 8.6639 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8409 loss: 1.8409 2022/07/28 16:09:38 - mmengine - INFO - Epoch(train) [111][3620/3757] lr: 3.2899e-03 eta: 1 day, 4:49:15 time: 0.4127 data_time: 0.0159 memory: 17007 grad_norm: 8.9820 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0554 loss: 2.0554 2022/07/28 16:09:49 - mmengine - INFO - Epoch(train) [111][3640/3757] lr: 3.2899e-03 eta: 1 day, 4:49:09 time: 0.5459 data_time: 0.1510 memory: 17007 grad_norm: 8.5303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0676 loss: 2.0676 2022/07/28 16:10:01 - mmengine - INFO - Epoch(train) [111][3660/3757] lr: 3.2899e-03 eta: 1 day, 4:49:03 time: 0.5715 data_time: 0.0145 memory: 17007 grad_norm: 8.1576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8695 loss: 1.8695 2022/07/28 16:10:15 - mmengine - INFO - Epoch(train) [111][3680/3757] lr: 3.2899e-03 eta: 1 day, 4:48:58 time: 0.6893 data_time: 0.0168 memory: 17007 grad_norm: 8.4374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8570 loss: 1.8570 2022/07/28 16:10:26 - mmengine - INFO - Epoch(train) [111][3700/3757] lr: 3.2899e-03 eta: 1 day, 4:48:53 time: 0.5872 data_time: 0.0155 memory: 17007 grad_norm: 8.7889 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4341 loss: 1.4341 2022/07/28 16:10:41 - mmengine - INFO - Epoch(train) [111][3720/3757] lr: 3.2899e-03 eta: 1 day, 4:48:49 time: 0.7527 data_time: 0.0153 memory: 17007 grad_norm: 8.8066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8352 loss: 1.8352 2022/07/28 16:10:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 16:10:53 - mmengine - INFO - Epoch(train) [111][3740/3757] lr: 3.2899e-03 eta: 1 day, 4:48:44 time: 0.6015 data_time: 0.0960 memory: 17007 grad_norm: 8.6870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8827 loss: 1.8827 2022/07/28 16:11:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 16:11:03 - mmengine - INFO - Epoch(train) [111][3757/3757] lr: 3.2899e-03 eta: 1 day, 4:48:44 time: 0.5257 data_time: 0.0172 memory: 17007 grad_norm: 8.4884 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6973 loss: 1.6973 2022/07/28 16:11:03 - mmengine - INFO - Saving checkpoint at 111 epochs 2022/07/28 16:11:27 - mmengine - INFO - Epoch(train) [112][20/3757] lr: 3.2082e-03 eta: 1 day, 4:48:33 time: 1.0712 data_time: 0.6673 memory: 17007 grad_norm: 8.4840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8390 loss: 1.8390 2022/07/28 16:11:37 - mmengine - INFO - Epoch(train) [112][40/3757] lr: 3.2082e-03 eta: 1 day, 4:48:26 time: 0.5048 data_time: 0.0207 memory: 17007 grad_norm: 8.3639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4862 loss: 1.4862 2022/07/28 16:11:51 - mmengine - INFO - Epoch(train) [112][60/3757] lr: 3.2082e-03 eta: 1 day, 4:48:22 time: 0.6812 data_time: 0.0155 memory: 17007 grad_norm: 8.3424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5811 loss: 1.5811 2022/07/28 16:12:02 - mmengine - INFO - Epoch(train) [112][80/3757] lr: 3.2082e-03 eta: 1 day, 4:48:16 time: 0.5699 data_time: 0.0167 memory: 17007 grad_norm: 8.2787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6809 loss: 1.6809 2022/07/28 16:12:13 - mmengine - INFO - Epoch(train) [112][100/3757] lr: 3.2082e-03 eta: 1 day, 4:48:09 time: 0.5121 data_time: 0.0375 memory: 17007 grad_norm: 8.3446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7803 loss: 1.7803 2022/07/28 16:12:29 - mmengine - INFO - Epoch(train) [112][120/3757] lr: 3.2082e-03 eta: 1 day, 4:48:06 time: 0.8042 data_time: 0.1107 memory: 17007 grad_norm: 8.3576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7357 loss: 1.7357 2022/07/28 16:12:40 - mmengine - INFO - Epoch(train) [112][140/3757] lr: 3.2082e-03 eta: 1 day, 4:48:00 time: 0.5574 data_time: 0.0158 memory: 17007 grad_norm: 8.5811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9548 loss: 1.9548 2022/07/28 16:12:54 - mmengine - INFO - Epoch(train) [112][160/3757] lr: 3.2082e-03 eta: 1 day, 4:47:56 time: 0.6943 data_time: 0.0166 memory: 17007 grad_norm: 8.4911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6350 loss: 1.6350 2022/07/28 16:13:10 - mmengine - INFO - Epoch(train) [112][180/3757] lr: 3.2082e-03 eta: 1 day, 4:47:53 time: 0.7921 data_time: 0.1075 memory: 17007 grad_norm: 8.4661 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0623 loss: 2.0623 2022/07/28 16:13:20 - mmengine - INFO - Epoch(train) [112][200/3757] lr: 3.2082e-03 eta: 1 day, 4:47:46 time: 0.5012 data_time: 0.0165 memory: 17007 grad_norm: 8.4105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5195 loss: 1.5195 2022/07/28 16:13:35 - mmengine - INFO - Epoch(train) [112][220/3757] lr: 3.2082e-03 eta: 1 day, 4:47:42 time: 0.7534 data_time: 0.0171 memory: 17007 grad_norm: 8.3378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8120 loss: 1.8120 2022/07/28 16:13:50 - mmengine - INFO - Epoch(train) [112][240/3757] lr: 3.2082e-03 eta: 1 day, 4:47:39 time: 0.7473 data_time: 0.1761 memory: 17007 grad_norm: 8.1119 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5874 loss: 1.5874 2022/07/28 16:14:02 - mmengine - INFO - Epoch(train) [112][260/3757] lr: 3.2082e-03 eta: 1 day, 4:47:33 time: 0.6107 data_time: 0.0169 memory: 17007 grad_norm: 7.9718 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5337 loss: 1.5337 2022/07/28 16:14:15 - mmengine - INFO - Epoch(train) [112][280/3757] lr: 3.2082e-03 eta: 1 day, 4:47:28 time: 0.6557 data_time: 0.0774 memory: 17007 grad_norm: 7.8463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6456 loss: 1.6456 2022/07/28 16:14:29 - mmengine - INFO - Epoch(train) [112][300/3757] lr: 3.2082e-03 eta: 1 day, 4:47:24 time: 0.7165 data_time: 0.1852 memory: 17007 grad_norm: 8.1162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7747 loss: 1.7747 2022/07/28 16:14:40 - mmengine - INFO - Epoch(train) [112][320/3757] lr: 3.2082e-03 eta: 1 day, 4:47:18 time: 0.5364 data_time: 0.1043 memory: 17007 grad_norm: 7.9233 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6234 loss: 1.6234 2022/07/28 16:14:56 - mmengine - INFO - Epoch(train) [112][340/3757] lr: 3.2082e-03 eta: 1 day, 4:47:15 time: 0.7998 data_time: 0.3942 memory: 17007 grad_norm: 8.4606 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6547 loss: 1.6547 2022/07/28 16:15:13 - mmengine - INFO - Epoch(train) [112][360/3757] lr: 3.2082e-03 eta: 1 day, 4:47:12 time: 0.8175 data_time: 0.3989 memory: 17007 grad_norm: 8.4567 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7760 loss: 1.7760 2022/07/28 16:15:26 - mmengine - INFO - Epoch(train) [112][380/3757] lr: 3.2082e-03 eta: 1 day, 4:47:08 time: 0.6910 data_time: 0.0172 memory: 17007 grad_norm: 8.1668 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7133 loss: 1.7133 2022/07/28 16:15:42 - mmengine - INFO - Epoch(train) [112][400/3757] lr: 3.2082e-03 eta: 1 day, 4:47:04 time: 0.7597 data_time: 0.0206 memory: 17007 grad_norm: 8.4385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8760 loss: 1.8760 2022/07/28 16:15:50 - mmengine - INFO - Epoch(train) [112][420/3757] lr: 3.2082e-03 eta: 1 day, 4:46:56 time: 0.3964 data_time: 0.0141 memory: 17007 grad_norm: 8.4570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9037 loss: 1.9037 2022/07/28 16:16:01 - mmengine - INFO - Epoch(train) [112][440/3757] lr: 3.2082e-03 eta: 1 day, 4:46:50 time: 0.5773 data_time: 0.0149 memory: 17007 grad_norm: 8.3830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2217 loss: 1.2217 2022/07/28 16:16:11 - mmengine - INFO - Epoch(train) [112][460/3757] lr: 3.2082e-03 eta: 1 day, 4:46:43 time: 0.4855 data_time: 0.1030 memory: 17007 grad_norm: 8.7537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9970 loss: 1.9970 2022/07/28 16:16:26 - mmengine - INFO - Epoch(train) [112][480/3757] lr: 3.2082e-03 eta: 1 day, 4:46:40 time: 0.7412 data_time: 0.0145 memory: 17007 grad_norm: 8.0742 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6795 loss: 1.6795 2022/07/28 16:16:36 - mmengine - INFO - Epoch(train) [112][500/3757] lr: 3.2082e-03 eta: 1 day, 4:46:33 time: 0.5134 data_time: 0.0141 memory: 17007 grad_norm: 8.3950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7335 loss: 1.7335 2022/07/28 16:16:44 - mmengine - INFO - Epoch(train) [112][520/3757] lr: 3.2082e-03 eta: 1 day, 4:46:25 time: 0.3979 data_time: 0.0162 memory: 17007 grad_norm: 8.3211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6902 loss: 1.6902 2022/07/28 16:16:52 - mmengine - INFO - Epoch(train) [112][540/3757] lr: 3.2082e-03 eta: 1 day, 4:46:17 time: 0.4154 data_time: 0.0143 memory: 17007 grad_norm: 8.2159 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5775 loss: 1.5775 2022/07/28 16:17:00 - mmengine - INFO - Epoch(train) [112][560/3757] lr: 3.2082e-03 eta: 1 day, 4:46:09 time: 0.3958 data_time: 0.0162 memory: 17007 grad_norm: 8.5602 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4164 loss: 1.4164 2022/07/28 16:17:08 - mmengine - INFO - Epoch(train) [112][580/3757] lr: 3.2082e-03 eta: 1 day, 4:46:01 time: 0.3971 data_time: 0.0151 memory: 17007 grad_norm: 8.4607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6434 loss: 1.6434 2022/07/28 16:17:17 - mmengine - INFO - Epoch(train) [112][600/3757] lr: 3.2082e-03 eta: 1 day, 4:45:54 time: 0.4511 data_time: 0.0161 memory: 17007 grad_norm: 8.4385 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5767 loss: 1.5767 2022/07/28 16:17:30 - mmengine - INFO - Epoch(train) [112][620/3757] lr: 3.2082e-03 eta: 1 day, 4:45:48 time: 0.6277 data_time: 0.0184 memory: 17007 grad_norm: 8.2259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5595 loss: 1.5595 2022/07/28 16:17:39 - mmengine - INFO - Epoch(train) [112][640/3757] lr: 3.2082e-03 eta: 1 day, 4:45:41 time: 0.4869 data_time: 0.0156 memory: 17007 grad_norm: 8.5955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9051 loss: 1.9051 2022/07/28 16:17:59 - mmengine - INFO - Epoch(train) [112][660/3757] lr: 3.2082e-03 eta: 1 day, 4:45:40 time: 0.9517 data_time: 0.0153 memory: 17007 grad_norm: 8.0866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4466 loss: 1.4466 2022/07/28 16:18:10 - mmengine - INFO - Epoch(train) [112][680/3757] lr: 3.2082e-03 eta: 1 day, 4:45:35 time: 0.5864 data_time: 0.0184 memory: 17007 grad_norm: 8.3000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6463 loss: 1.6463 2022/07/28 16:18:19 - mmengine - INFO - Epoch(train) [112][700/3757] lr: 3.2082e-03 eta: 1 day, 4:45:27 time: 0.4509 data_time: 0.0182 memory: 17007 grad_norm: 9.1832 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9661 loss: 1.9661 2022/07/28 16:18:31 - mmengine - INFO - Epoch(train) [112][720/3757] lr: 3.2082e-03 eta: 1 day, 4:45:22 time: 0.6063 data_time: 0.0426 memory: 17007 grad_norm: 8.3479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6473 loss: 1.6473 2022/07/28 16:18:47 - mmengine - INFO - Epoch(train) [112][740/3757] lr: 3.2082e-03 eta: 1 day, 4:45:18 time: 0.7611 data_time: 0.2581 memory: 17007 grad_norm: 8.2510 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5917 loss: 1.5917 2022/07/28 16:18:59 - mmengine - INFO - Epoch(train) [112][760/3757] lr: 3.2082e-03 eta: 1 day, 4:45:13 time: 0.6389 data_time: 0.0223 memory: 17007 grad_norm: 8.2779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8521 loss: 1.8521 2022/07/28 16:19:16 - mmengine - INFO - Epoch(train) [112][780/3757] lr: 3.2082e-03 eta: 1 day, 4:45:11 time: 0.8375 data_time: 0.1612 memory: 17007 grad_norm: 8.5948 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0372 loss: 2.0372 2022/07/28 16:19:27 - mmengine - INFO - Epoch(train) [112][800/3757] lr: 3.2082e-03 eta: 1 day, 4:45:04 time: 0.5174 data_time: 0.0201 memory: 17007 grad_norm: 8.2543 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8790 loss: 1.8790 2022/07/28 16:19:37 - mmengine - INFO - Epoch(train) [112][820/3757] lr: 3.2082e-03 eta: 1 day, 4:44:58 time: 0.5449 data_time: 0.0164 memory: 17007 grad_norm: 8.2933 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8187 loss: 1.8187 2022/07/28 16:19:49 - mmengine - INFO - Epoch(train) [112][840/3757] lr: 3.2082e-03 eta: 1 day, 4:44:52 time: 0.5950 data_time: 0.1017 memory: 17007 grad_norm: 7.9255 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6084 loss: 1.6084 2022/07/28 16:20:01 - mmengine - INFO - Epoch(train) [112][860/3757] lr: 3.2082e-03 eta: 1 day, 4:44:46 time: 0.5610 data_time: 0.0170 memory: 17007 grad_norm: 8.0568 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5862 loss: 1.5862 2022/07/28 16:20:14 - mmengine - INFO - Epoch(train) [112][880/3757] lr: 3.2082e-03 eta: 1 day, 4:44:42 time: 0.6801 data_time: 0.0384 memory: 17007 grad_norm: 8.2017 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6848 loss: 1.6848 2022/07/28 16:20:26 - mmengine - INFO - Epoch(train) [112][900/3757] lr: 3.2082e-03 eta: 1 day, 4:44:36 time: 0.5969 data_time: 0.0172 memory: 17007 grad_norm: 8.5934 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7093 loss: 1.7093 2022/07/28 16:20:40 - mmengine - INFO - Epoch(train) [112][920/3757] lr: 3.2082e-03 eta: 1 day, 4:44:32 time: 0.6884 data_time: 0.0195 memory: 17007 grad_norm: 8.4841 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7523 loss: 1.7523 2022/07/28 16:20:52 - mmengine - INFO - Epoch(train) [112][940/3757] lr: 3.2082e-03 eta: 1 day, 4:44:26 time: 0.5780 data_time: 0.0159 memory: 17007 grad_norm: 8.1343 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6779 loss: 1.6779 2022/07/28 16:21:07 - mmengine - INFO - Epoch(train) [112][960/3757] lr: 3.2082e-03 eta: 1 day, 4:44:22 time: 0.7602 data_time: 0.0218 memory: 17007 grad_norm: 8.6344 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6653 loss: 1.6653 2022/07/28 16:21:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 16:21:20 - mmengine - INFO - Epoch(train) [112][980/3757] lr: 3.2082e-03 eta: 1 day, 4:44:18 time: 0.6760 data_time: 0.0215 memory: 17007 grad_norm: 8.2949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1220 loss: 2.1220 2022/07/28 16:21:33 - mmengine - INFO - Epoch(train) [112][1000/3757] lr: 3.2082e-03 eta: 1 day, 4:44:12 time: 0.6371 data_time: 0.0176 memory: 17007 grad_norm: 8.3666 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7180 loss: 1.7180 2022/07/28 16:21:51 - mmengine - INFO - Epoch(train) [112][1020/3757] lr: 3.2082e-03 eta: 1 day, 4:44:11 time: 0.8953 data_time: 0.0192 memory: 17007 grad_norm: 8.6172 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8050 loss: 1.8050 2022/07/28 16:22:00 - mmengine - INFO - Epoch(train) [112][1040/3757] lr: 3.2082e-03 eta: 1 day, 4:44:03 time: 0.4730 data_time: 0.0142 memory: 17007 grad_norm: 8.3910 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6301 loss: 1.6301 2022/07/28 16:22:11 - mmengine - INFO - Epoch(train) [112][1060/3757] lr: 3.2082e-03 eta: 1 day, 4:43:57 time: 0.5096 data_time: 0.0144 memory: 17007 grad_norm: 8.3631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7608 loss: 1.7608 2022/07/28 16:22:22 - mmengine - INFO - Epoch(train) [112][1080/3757] lr: 3.2082e-03 eta: 1 day, 4:43:51 time: 0.5644 data_time: 0.0157 memory: 17007 grad_norm: 8.4180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6002 loss: 1.6002 2022/07/28 16:22:39 - mmengine - INFO - Epoch(train) [112][1100/3757] lr: 3.2082e-03 eta: 1 day, 4:43:49 time: 0.8743 data_time: 0.0942 memory: 17007 grad_norm: 8.4345 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9126 loss: 1.9126 2022/07/28 16:22:55 - mmengine - INFO - Epoch(train) [112][1120/3757] lr: 3.2082e-03 eta: 1 day, 4:43:45 time: 0.7758 data_time: 0.0828 memory: 17007 grad_norm: 8.6417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7174 loss: 1.7174 2022/07/28 16:23:12 - mmengine - INFO - Epoch(train) [112][1140/3757] lr: 3.2082e-03 eta: 1 day, 4:43:43 time: 0.8728 data_time: 0.0152 memory: 17007 grad_norm: 8.4116 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9474 loss: 1.9474 2022/07/28 16:23:23 - mmengine - INFO - Epoch(train) [112][1160/3757] lr: 3.2082e-03 eta: 1 day, 4:43:37 time: 0.5336 data_time: 0.0170 memory: 17007 grad_norm: 8.7027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7269 loss: 1.7269 2022/07/28 16:23:36 - mmengine - INFO - Epoch(train) [112][1180/3757] lr: 3.2082e-03 eta: 1 day, 4:43:32 time: 0.6390 data_time: 0.0185 memory: 17007 grad_norm: 8.7032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9897 loss: 1.9897 2022/07/28 16:23:46 - mmengine - INFO - Epoch(train) [112][1200/3757] lr: 3.2082e-03 eta: 1 day, 4:43:25 time: 0.5244 data_time: 0.0185 memory: 17007 grad_norm: 8.4245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6132 loss: 1.6132 2022/07/28 16:23:58 - mmengine - INFO - Epoch(train) [112][1220/3757] lr: 3.2082e-03 eta: 1 day, 4:43:20 time: 0.5984 data_time: 0.0382 memory: 17007 grad_norm: 8.3296 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7913 loss: 1.7913 2022/07/28 16:24:08 - mmengine - INFO - Epoch(train) [112][1240/3757] lr: 3.2082e-03 eta: 1 day, 4:43:13 time: 0.5019 data_time: 0.0402 memory: 17007 grad_norm: 8.0370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6297 loss: 1.6297 2022/07/28 16:24:20 - mmengine - INFO - Epoch(train) [112][1260/3757] lr: 3.2082e-03 eta: 1 day, 4:43:07 time: 0.5897 data_time: 0.0152 memory: 17007 grad_norm: 8.5700 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9078 loss: 1.9078 2022/07/28 16:24:30 - mmengine - INFO - Epoch(train) [112][1280/3757] lr: 3.2082e-03 eta: 1 day, 4:43:00 time: 0.5069 data_time: 0.0152 memory: 17007 grad_norm: 8.6167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7999 loss: 1.7999 2022/07/28 16:24:41 - mmengine - INFO - Epoch(train) [112][1300/3757] lr: 3.2082e-03 eta: 1 day, 4:42:54 time: 0.5465 data_time: 0.1468 memory: 17007 grad_norm: 8.7665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7452 loss: 1.7452 2022/07/28 16:24:53 - mmengine - INFO - Epoch(train) [112][1320/3757] lr: 3.2082e-03 eta: 1 day, 4:42:49 time: 0.5962 data_time: 0.0153 memory: 17007 grad_norm: 8.4071 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8598 loss: 1.8598 2022/07/28 16:25:04 - mmengine - INFO - Epoch(train) [112][1340/3757] lr: 3.2082e-03 eta: 1 day, 4:42:42 time: 0.5334 data_time: 0.0154 memory: 17007 grad_norm: 8.5499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6322 loss: 1.6322 2022/07/28 16:25:16 - mmengine - INFO - Epoch(train) [112][1360/3757] lr: 3.2082e-03 eta: 1 day, 4:42:37 time: 0.6033 data_time: 0.0185 memory: 17007 grad_norm: 8.5123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5637 loss: 1.5637 2022/07/28 16:25:33 - mmengine - INFO - Epoch(train) [112][1380/3757] lr: 3.2082e-03 eta: 1 day, 4:42:34 time: 0.8523 data_time: 0.0171 memory: 17007 grad_norm: 8.0589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6400 loss: 1.6400 2022/07/28 16:25:43 - mmengine - INFO - Epoch(train) [112][1400/3757] lr: 3.2082e-03 eta: 1 day, 4:42:27 time: 0.4993 data_time: 0.0168 memory: 17007 grad_norm: 8.6049 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5114 loss: 1.5114 2022/07/28 16:25:55 - mmengine - INFO - Epoch(train) [112][1420/3757] lr: 3.2082e-03 eta: 1 day, 4:42:22 time: 0.5854 data_time: 0.0772 memory: 17007 grad_norm: 8.2423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6712 loss: 1.6712 2022/07/28 16:26:04 - mmengine - INFO - Epoch(train) [112][1440/3757] lr: 3.2082e-03 eta: 1 day, 4:42:14 time: 0.4429 data_time: 0.0130 memory: 17007 grad_norm: 8.4718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7510 loss: 1.7510 2022/07/28 16:26:12 - mmengine - INFO - Epoch(train) [112][1460/3757] lr: 3.2082e-03 eta: 1 day, 4:42:06 time: 0.3961 data_time: 0.0146 memory: 17007 grad_norm: 8.3342 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8257 loss: 1.8257 2022/07/28 16:26:20 - mmengine - INFO - Epoch(train) [112][1480/3757] lr: 3.2082e-03 eta: 1 day, 4:41:58 time: 0.3985 data_time: 0.0166 memory: 17007 grad_norm: 8.3203 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7683 loss: 1.7683 2022/07/28 16:26:28 - mmengine - INFO - Epoch(train) [112][1500/3757] lr: 3.2082e-03 eta: 1 day, 4:41:50 time: 0.3971 data_time: 0.0154 memory: 17007 grad_norm: 8.1621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8182 loss: 1.8182 2022/07/28 16:26:36 - mmengine - INFO - Epoch(train) [112][1520/3757] lr: 3.2082e-03 eta: 1 day, 4:41:42 time: 0.3991 data_time: 0.0167 memory: 17007 grad_norm: 8.4226 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9708 loss: 1.9708 2022/07/28 16:26:43 - mmengine - INFO - Epoch(train) [112][1540/3757] lr: 3.2082e-03 eta: 1 day, 4:41:34 time: 0.3944 data_time: 0.0143 memory: 17007 grad_norm: 8.4146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8043 loss: 1.8043 2022/07/28 16:26:52 - mmengine - INFO - Epoch(train) [112][1560/3757] lr: 3.2082e-03 eta: 1 day, 4:41:26 time: 0.4011 data_time: 0.0168 memory: 17007 grad_norm: 8.3678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4860 loss: 1.4860 2022/07/28 16:26:59 - mmengine - INFO - Epoch(train) [112][1580/3757] lr: 3.2082e-03 eta: 1 day, 4:41:18 time: 0.3940 data_time: 0.0141 memory: 17007 grad_norm: 8.2885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6829 loss: 1.6829 2022/07/28 16:27:08 - mmengine - INFO - Epoch(train) [112][1600/3757] lr: 3.2082e-03 eta: 1 day, 4:41:10 time: 0.4225 data_time: 0.0174 memory: 17007 grad_norm: 8.3936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8710 loss: 1.8710 2022/07/28 16:27:16 - mmengine - INFO - Epoch(train) [112][1620/3757] lr: 3.2082e-03 eta: 1 day, 4:41:02 time: 0.3944 data_time: 0.0154 memory: 17007 grad_norm: 8.3282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7163 loss: 1.7163 2022/07/28 16:27:24 - mmengine - INFO - Epoch(train) [112][1640/3757] lr: 3.2082e-03 eta: 1 day, 4:40:54 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 8.5663 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4996 loss: 1.4996 2022/07/28 16:27:32 - mmengine - INFO - Epoch(train) [112][1660/3757] lr: 3.2082e-03 eta: 1 day, 4:40:46 time: 0.4012 data_time: 0.0143 memory: 17007 grad_norm: 8.8469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8977 loss: 1.8977 2022/07/28 16:27:43 - mmengine - INFO - Epoch(train) [112][1680/3757] lr: 3.2082e-03 eta: 1 day, 4:40:40 time: 0.5464 data_time: 0.0190 memory: 17007 grad_norm: 8.4836 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6107 loss: 1.6107 2022/07/28 16:27:56 - mmengine - INFO - Epoch(train) [112][1700/3757] lr: 3.2082e-03 eta: 1 day, 4:40:35 time: 0.6757 data_time: 0.2406 memory: 17007 grad_norm: 8.7636 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9388 loss: 1.9388 2022/07/28 16:28:11 - mmengine - INFO - Epoch(train) [112][1720/3757] lr: 3.2082e-03 eta: 1 day, 4:40:31 time: 0.7168 data_time: 0.0159 memory: 17007 grad_norm: 8.8298 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6958 loss: 1.6958 2022/07/28 16:28:22 - mmengine - INFO - Epoch(train) [112][1740/3757] lr: 3.2082e-03 eta: 1 day, 4:40:25 time: 0.5939 data_time: 0.0534 memory: 17007 grad_norm: 8.6342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6095 loss: 1.6095 2022/07/28 16:28:36 - mmengine - INFO - Epoch(train) [112][1760/3757] lr: 3.2082e-03 eta: 1 day, 4:40:21 time: 0.6771 data_time: 0.0189 memory: 17007 grad_norm: 8.3520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6965 loss: 1.6965 2022/07/28 16:28:50 - mmengine - INFO - Epoch(train) [112][1780/3757] lr: 3.2082e-03 eta: 1 day, 4:40:16 time: 0.6953 data_time: 0.0194 memory: 17007 grad_norm: 8.5798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6800 loss: 1.6800 2022/07/28 16:29:05 - mmengine - INFO - Epoch(train) [112][1800/3757] lr: 3.2082e-03 eta: 1 day, 4:40:12 time: 0.7489 data_time: 0.0523 memory: 17007 grad_norm: 8.5179 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6941 loss: 1.6941 2022/07/28 16:29:15 - mmengine - INFO - Epoch(train) [112][1820/3757] lr: 3.2082e-03 eta: 1 day, 4:40:05 time: 0.4893 data_time: 0.0151 memory: 17007 grad_norm: 8.5015 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5821 loss: 1.5821 2022/07/28 16:29:31 - mmengine - INFO - Epoch(train) [112][1840/3757] lr: 3.2082e-03 eta: 1 day, 4:40:03 time: 0.8353 data_time: 0.3349 memory: 17007 grad_norm: 8.5541 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4799 loss: 1.4799 2022/07/28 16:29:41 - mmengine - INFO - Epoch(train) [112][1860/3757] lr: 3.2082e-03 eta: 1 day, 4:39:56 time: 0.5003 data_time: 0.0173 memory: 17007 grad_norm: 8.5953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9079 loss: 1.9079 2022/07/28 16:29:51 - mmengine - INFO - Epoch(train) [112][1880/3757] lr: 3.2082e-03 eta: 1 day, 4:39:49 time: 0.4859 data_time: 0.0131 memory: 17007 grad_norm: 8.8340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7832 loss: 1.7832 2022/07/28 16:30:04 - mmengine - INFO - Epoch(train) [112][1900/3757] lr: 3.2082e-03 eta: 1 day, 4:39:44 time: 0.6556 data_time: 0.0193 memory: 17007 grad_norm: 8.4150 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8798 loss: 1.8798 2022/07/28 16:30:14 - mmengine - INFO - Epoch(train) [112][1920/3757] lr: 3.2082e-03 eta: 1 day, 4:39:37 time: 0.5010 data_time: 0.0148 memory: 17007 grad_norm: 8.2596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4604 loss: 1.4604 2022/07/28 16:30:33 - mmengine - INFO - Epoch(train) [112][1940/3757] lr: 3.2082e-03 eta: 1 day, 4:39:36 time: 0.9456 data_time: 0.0176 memory: 17007 grad_norm: 8.3746 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9610 loss: 1.9610 2022/07/28 16:30:48 - mmengine - INFO - Epoch(train) [112][1960/3757] lr: 3.2082e-03 eta: 1 day, 4:39:32 time: 0.7438 data_time: 0.0217 memory: 17007 grad_norm: 8.3846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6233 loss: 1.6233 2022/07/28 16:30:55 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 16:31:00 - mmengine - INFO - Epoch(train) [112][1980/3757] lr: 3.2082e-03 eta: 1 day, 4:39:27 time: 0.6108 data_time: 0.0151 memory: 17007 grad_norm: 8.2531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6368 loss: 1.6368 2022/07/28 16:31:16 - mmengine - INFO - Epoch(train) [112][2000/3757] lr: 3.2082e-03 eta: 1 day, 4:39:23 time: 0.7577 data_time: 0.0164 memory: 17007 grad_norm: 8.4459 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9498 loss: 1.9498 2022/07/28 16:31:27 - mmengine - INFO - Epoch(train) [112][2020/3757] lr: 3.2082e-03 eta: 1 day, 4:39:17 time: 0.5806 data_time: 0.0179 memory: 17007 grad_norm: 8.5129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4538 loss: 1.4538 2022/07/28 16:31:39 - mmengine - INFO - Epoch(train) [112][2040/3757] lr: 3.2082e-03 eta: 1 day, 4:39:12 time: 0.5888 data_time: 0.0227 memory: 17007 grad_norm: 8.7036 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8760 loss: 1.8760 2022/07/28 16:31:56 - mmengine - INFO - Epoch(train) [112][2060/3757] lr: 3.2082e-03 eta: 1 day, 4:39:09 time: 0.8368 data_time: 0.2559 memory: 17007 grad_norm: 8.7741 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7874 loss: 1.7874 2022/07/28 16:32:06 - mmengine - INFO - Epoch(train) [112][2080/3757] lr: 3.2082e-03 eta: 1 day, 4:39:02 time: 0.5198 data_time: 0.0175 memory: 17007 grad_norm: 8.7228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5479 loss: 1.5479 2022/07/28 16:32:18 - mmengine - INFO - Epoch(train) [112][2100/3757] lr: 3.2082e-03 eta: 1 day, 4:38:57 time: 0.6024 data_time: 0.0318 memory: 17007 grad_norm: 8.4598 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7289 loss: 1.7289 2022/07/28 16:32:30 - mmengine - INFO - Epoch(train) [112][2120/3757] lr: 3.2082e-03 eta: 1 day, 4:38:51 time: 0.5803 data_time: 0.0170 memory: 17007 grad_norm: 8.2917 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3006 loss: 1.3006 2022/07/28 16:32:48 - mmengine - INFO - Epoch(train) [112][2140/3757] lr: 3.2082e-03 eta: 1 day, 4:38:49 time: 0.9047 data_time: 0.0170 memory: 17007 grad_norm: 8.9460 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0583 loss: 2.0583 2022/07/28 16:32:58 - mmengine - INFO - Epoch(train) [112][2160/3757] lr: 3.2082e-03 eta: 1 day, 4:38:42 time: 0.5025 data_time: 0.0179 memory: 17007 grad_norm: 8.5481 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7577 loss: 1.7577 2022/07/28 16:33:12 - mmengine - INFO - Epoch(train) [112][2180/3757] lr: 3.2082e-03 eta: 1 day, 4:38:38 time: 0.6780 data_time: 0.0171 memory: 17007 grad_norm: 8.3273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6539 loss: 1.6539 2022/07/28 16:33:27 - mmengine - INFO - Epoch(train) [112][2200/3757] lr: 3.2082e-03 eta: 1 day, 4:38:34 time: 0.7517 data_time: 0.0180 memory: 17007 grad_norm: 8.8521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9899 loss: 1.9899 2022/07/28 16:33:37 - mmengine - INFO - Epoch(train) [112][2220/3757] lr: 3.2082e-03 eta: 1 day, 4:38:27 time: 0.5034 data_time: 0.0148 memory: 17007 grad_norm: 8.3338 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7421 loss: 1.7421 2022/07/28 16:33:49 - mmengine - INFO - Epoch(train) [112][2240/3757] lr: 3.2082e-03 eta: 1 day, 4:38:22 time: 0.6264 data_time: 0.0158 memory: 17007 grad_norm: 8.6633 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1276 loss: 2.1276 2022/07/28 16:34:00 - mmengine - INFO - Epoch(train) [112][2260/3757] lr: 3.2082e-03 eta: 1 day, 4:38:16 time: 0.5520 data_time: 0.0213 memory: 17007 grad_norm: 8.5639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9582 loss: 1.9582 2022/07/28 16:34:10 - mmengine - INFO - Epoch(train) [112][2280/3757] lr: 3.2082e-03 eta: 1 day, 4:38:09 time: 0.4883 data_time: 0.0139 memory: 17007 grad_norm: 8.2711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6822 loss: 1.6822 2022/07/28 16:34:25 - mmengine - INFO - Epoch(train) [112][2300/3757] lr: 3.2082e-03 eta: 1 day, 4:38:05 time: 0.7670 data_time: 0.0183 memory: 17007 grad_norm: 8.4860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6459 loss: 1.6459 2022/07/28 16:34:37 - mmengine - INFO - Epoch(train) [112][2320/3757] lr: 3.2082e-03 eta: 1 day, 4:38:00 time: 0.5948 data_time: 0.0156 memory: 17007 grad_norm: 8.4958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8232 loss: 1.8232 2022/07/28 16:34:49 - mmengine - INFO - Epoch(train) [112][2340/3757] lr: 3.2082e-03 eta: 1 day, 4:37:54 time: 0.5846 data_time: 0.0194 memory: 17007 grad_norm: 8.1869 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8300 loss: 1.8300 2022/07/28 16:35:01 - mmengine - INFO - Epoch(train) [112][2360/3757] lr: 3.2082e-03 eta: 1 day, 4:37:48 time: 0.5862 data_time: 0.0185 memory: 17007 grad_norm: 8.5737 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6877 loss: 1.6877 2022/07/28 16:35:15 - mmengine - INFO - Epoch(train) [112][2380/3757] lr: 3.2082e-03 eta: 1 day, 4:37:44 time: 0.7241 data_time: 0.1132 memory: 17007 grad_norm: 8.3065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9502 loss: 1.9502 2022/07/28 16:35:27 - mmengine - INFO - Epoch(train) [112][2400/3757] lr: 3.2082e-03 eta: 1 day, 4:37:38 time: 0.5887 data_time: 0.0187 memory: 17007 grad_norm: 8.5670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6434 loss: 1.6434 2022/07/28 16:35:37 - mmengine - INFO - Epoch(train) [112][2420/3757] lr: 3.2082e-03 eta: 1 day, 4:37:31 time: 0.4941 data_time: 0.0225 memory: 17007 grad_norm: 8.5909 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8240 loss: 1.8240 2022/07/28 16:35:50 - mmengine - INFO - Epoch(train) [112][2440/3757] lr: 3.2082e-03 eta: 1 day, 4:37:27 time: 0.6743 data_time: 0.0143 memory: 17007 grad_norm: 8.8899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7925 loss: 1.7925 2022/07/28 16:36:01 - mmengine - INFO - Epoch(train) [112][2460/3757] lr: 3.2082e-03 eta: 1 day, 4:37:20 time: 0.5047 data_time: 0.1027 memory: 17007 grad_norm: 8.6450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6072 loss: 1.6072 2022/07/28 16:36:15 - mmengine - INFO - Epoch(train) [112][2480/3757] lr: 3.2082e-03 eta: 1 day, 4:37:16 time: 0.7391 data_time: 0.0175 memory: 17007 grad_norm: 8.3638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7081 loss: 1.7081 2022/07/28 16:36:25 - mmengine - INFO - Epoch(train) [112][2500/3757] lr: 3.2082e-03 eta: 1 day, 4:37:09 time: 0.4852 data_time: 0.0151 memory: 17007 grad_norm: 8.6697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4011 loss: 1.4011 2022/07/28 16:36:37 - mmengine - INFO - Epoch(train) [112][2520/3757] lr: 3.2082e-03 eta: 1 day, 4:37:03 time: 0.5922 data_time: 0.0801 memory: 17007 grad_norm: 8.3682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5955 loss: 1.5955 2022/07/28 16:36:47 - mmengine - INFO - Epoch(train) [112][2540/3757] lr: 3.2082e-03 eta: 1 day, 4:36:56 time: 0.4855 data_time: 0.0175 memory: 17007 grad_norm: 8.4720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8096 loss: 1.8096 2022/07/28 16:36:55 - mmengine - INFO - Epoch(train) [112][2560/3757] lr: 3.2082e-03 eta: 1 day, 4:36:48 time: 0.3952 data_time: 0.0120 memory: 17007 grad_norm: 8.3457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7628 loss: 1.7628 2022/07/28 16:37:02 - mmengine - INFO - Epoch(train) [112][2580/3757] lr: 3.2082e-03 eta: 1 day, 4:36:40 time: 0.3953 data_time: 0.0151 memory: 17007 grad_norm: 8.6902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1521 loss: 2.1521 2022/07/28 16:37:11 - mmengine - INFO - Epoch(train) [112][2600/3757] lr: 3.2082e-03 eta: 1 day, 4:36:32 time: 0.4035 data_time: 0.0252 memory: 17007 grad_norm: 8.2884 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0813 loss: 2.0813 2022/07/28 16:37:18 - mmengine - INFO - Epoch(train) [112][2620/3757] lr: 3.2082e-03 eta: 1 day, 4:36:24 time: 0.3953 data_time: 0.0148 memory: 17007 grad_norm: 8.3027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5022 loss: 1.5022 2022/07/28 16:37:26 - mmengine - INFO - Epoch(train) [112][2640/3757] lr: 3.2082e-03 eta: 1 day, 4:36:16 time: 0.3933 data_time: 0.0146 memory: 17007 grad_norm: 8.4880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8968 loss: 1.8968 2022/07/28 16:37:34 - mmengine - INFO - Epoch(train) [112][2660/3757] lr: 3.2082e-03 eta: 1 day, 4:36:08 time: 0.3972 data_time: 0.0170 memory: 17007 grad_norm: 8.5220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5741 loss: 1.5741 2022/07/28 16:37:42 - mmengine - INFO - Epoch(train) [112][2680/3757] lr: 3.2082e-03 eta: 1 day, 4:36:00 time: 0.3972 data_time: 0.0170 memory: 17007 grad_norm: 8.2905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0054 loss: 2.0054 2022/07/28 16:37:50 - mmengine - INFO - Epoch(train) [112][2700/3757] lr: 3.2082e-03 eta: 1 day, 4:35:52 time: 0.3974 data_time: 0.0162 memory: 17007 grad_norm: 8.6828 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7305 loss: 1.7305 2022/07/28 16:37:58 - mmengine - INFO - Epoch(train) [112][2720/3757] lr: 3.2082e-03 eta: 1 day, 4:35:44 time: 0.4084 data_time: 0.0153 memory: 17007 grad_norm: 8.5829 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7124 loss: 1.7124 2022/07/28 16:38:06 - mmengine - INFO - Epoch(train) [112][2740/3757] lr: 3.2082e-03 eta: 1 day, 4:35:36 time: 0.3959 data_time: 0.0165 memory: 17007 grad_norm: 8.6344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9906 loss: 1.9906 2022/07/28 16:38:19 - mmengine - INFO - Epoch(train) [112][2760/3757] lr: 3.2082e-03 eta: 1 day, 4:35:30 time: 0.6151 data_time: 0.0149 memory: 17007 grad_norm: 8.8782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7413 loss: 1.7413 2022/07/28 16:38:28 - mmengine - INFO - Epoch(train) [112][2780/3757] lr: 3.2082e-03 eta: 1 day, 4:35:23 time: 0.4711 data_time: 0.0162 memory: 17007 grad_norm: 8.8295 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6847 loss: 1.6847 2022/07/28 16:38:40 - mmengine - INFO - Epoch(train) [112][2800/3757] lr: 3.2082e-03 eta: 1 day, 4:35:18 time: 0.6047 data_time: 0.0158 memory: 17007 grad_norm: 8.7848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6727 loss: 1.6727 2022/07/28 16:38:52 - mmengine - INFO - Epoch(train) [112][2820/3757] lr: 3.2082e-03 eta: 1 day, 4:35:12 time: 0.5909 data_time: 0.0205 memory: 17007 grad_norm: 8.4890 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7320 loss: 1.7320 2022/07/28 16:39:02 - mmengine - INFO - Epoch(train) [112][2840/3757] lr: 3.2082e-03 eta: 1 day, 4:35:05 time: 0.5149 data_time: 0.1136 memory: 17007 grad_norm: 8.6694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7582 loss: 1.7582 2022/07/28 16:39:17 - mmengine - INFO - Epoch(train) [112][2860/3757] lr: 3.2082e-03 eta: 1 day, 4:35:01 time: 0.7314 data_time: 0.0190 memory: 17007 grad_norm: 8.7018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8145 loss: 1.8145 2022/07/28 16:39:29 - mmengine - INFO - Epoch(train) [112][2880/3757] lr: 3.2082e-03 eta: 1 day, 4:34:56 time: 0.5992 data_time: 0.0173 memory: 17007 grad_norm: 8.3137 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8498 loss: 1.8498 2022/07/28 16:39:40 - mmengine - INFO - Epoch(train) [112][2900/3757] lr: 3.2082e-03 eta: 1 day, 4:34:49 time: 0.5487 data_time: 0.0445 memory: 17007 grad_norm: 8.6475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8108 loss: 1.8108 2022/07/28 16:39:51 - mmengine - INFO - Epoch(train) [112][2920/3757] lr: 3.2082e-03 eta: 1 day, 4:34:43 time: 0.5402 data_time: 0.1474 memory: 17007 grad_norm: 8.5777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5939 loss: 1.5939 2022/07/28 16:40:05 - mmengine - INFO - Epoch(train) [112][2940/3757] lr: 3.2082e-03 eta: 1 day, 4:34:39 time: 0.7130 data_time: 0.0163 memory: 17007 grad_norm: 8.6868 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8035 loss: 1.8035 2022/07/28 16:40:16 - mmengine - INFO - Epoch(train) [112][2960/3757] lr: 3.2082e-03 eta: 1 day, 4:34:32 time: 0.5364 data_time: 0.0169 memory: 17007 grad_norm: 8.6459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7715 loss: 1.7715 2022/07/28 16:40:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 16:40:26 - mmengine - INFO - Epoch(train) [112][2980/3757] lr: 3.2082e-03 eta: 1 day, 4:34:26 time: 0.5196 data_time: 0.0186 memory: 17007 grad_norm: 8.3426 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7616 loss: 1.7616 2022/07/28 16:40:38 - mmengine - INFO - Epoch(train) [112][3000/3757] lr: 3.2082e-03 eta: 1 day, 4:34:20 time: 0.5832 data_time: 0.0189 memory: 17007 grad_norm: 8.9133 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7875 loss: 1.7875 2022/07/28 16:40:51 - mmengine - INFO - Epoch(train) [112][3020/3757] lr: 3.2082e-03 eta: 1 day, 4:34:15 time: 0.6556 data_time: 0.0498 memory: 17007 grad_norm: 8.4442 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7922 loss: 1.7922 2022/07/28 16:41:01 - mmengine - INFO - Epoch(train) [112][3040/3757] lr: 3.2082e-03 eta: 1 day, 4:34:09 time: 0.5223 data_time: 0.0420 memory: 17007 grad_norm: 8.4783 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8470 loss: 1.8470 2022/07/28 16:41:15 - mmengine - INFO - Epoch(train) [112][3060/3757] lr: 3.2082e-03 eta: 1 day, 4:34:04 time: 0.6875 data_time: 0.0508 memory: 17007 grad_norm: 8.7933 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0369 loss: 2.0369 2022/07/28 16:41:27 - mmengine - INFO - Epoch(train) [112][3080/3757] lr: 3.2082e-03 eta: 1 day, 4:33:58 time: 0.5773 data_time: 0.0192 memory: 17007 grad_norm: 8.3411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6331 loss: 1.6331 2022/07/28 16:41:39 - mmengine - INFO - Epoch(train) [112][3100/3757] lr: 3.2082e-03 eta: 1 day, 4:33:52 time: 0.5948 data_time: 0.1146 memory: 17007 grad_norm: 8.5717 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6286 loss: 1.6286 2022/07/28 16:41:52 - mmengine - INFO - Epoch(train) [112][3120/3757] lr: 3.2082e-03 eta: 1 day, 4:33:48 time: 0.6722 data_time: 0.0207 memory: 17007 grad_norm: 8.6785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8387 loss: 1.8387 2022/07/28 16:42:03 - mmengine - INFO - Epoch(train) [112][3140/3757] lr: 3.2082e-03 eta: 1 day, 4:33:41 time: 0.5482 data_time: 0.0171 memory: 17007 grad_norm: 8.5670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9398 loss: 1.9398 2022/07/28 16:42:15 - mmengine - INFO - Epoch(train) [112][3160/3757] lr: 3.2082e-03 eta: 1 day, 4:33:36 time: 0.6089 data_time: 0.0168 memory: 17007 grad_norm: 8.6769 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6690 loss: 1.6690 2022/07/28 16:42:32 - mmengine - INFO - Epoch(train) [112][3180/3757] lr: 3.2082e-03 eta: 1 day, 4:33:33 time: 0.8164 data_time: 0.0155 memory: 17007 grad_norm: 8.9550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7830 loss: 1.7830 2022/07/28 16:42:44 - mmengine - INFO - Epoch(train) [112][3200/3757] lr: 3.2082e-03 eta: 1 day, 4:33:28 time: 0.6116 data_time: 0.0242 memory: 17007 grad_norm: 8.4742 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7855 loss: 1.7855 2022/07/28 16:42:55 - mmengine - INFO - Epoch(train) [112][3220/3757] lr: 3.2082e-03 eta: 1 day, 4:33:22 time: 0.5806 data_time: 0.0163 memory: 17007 grad_norm: 8.5247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5904 loss: 1.5904 2022/07/28 16:43:06 - mmengine - INFO - Epoch(train) [112][3240/3757] lr: 3.2082e-03 eta: 1 day, 4:33:15 time: 0.5218 data_time: 0.0720 memory: 17007 grad_norm: 8.3054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5862 loss: 1.5862 2022/07/28 16:43:18 - mmengine - INFO - Epoch(train) [112][3260/3757] lr: 3.2082e-03 eta: 1 day, 4:33:09 time: 0.6008 data_time: 0.0188 memory: 17007 grad_norm: 8.8083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8903 loss: 1.8903 2022/07/28 16:43:32 - mmengine - INFO - Epoch(train) [112][3280/3757] lr: 3.2082e-03 eta: 1 day, 4:33:05 time: 0.7023 data_time: 0.0158 memory: 17007 grad_norm: 8.4170 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8219 loss: 1.8219 2022/07/28 16:43:47 - mmengine - INFO - Epoch(train) [112][3300/3757] lr: 3.2082e-03 eta: 1 day, 4:33:01 time: 0.7516 data_time: 0.0186 memory: 17007 grad_norm: 8.7299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9254 loss: 1.9254 2022/07/28 16:43:57 - mmengine - INFO - Epoch(train) [112][3320/3757] lr: 3.2082e-03 eta: 1 day, 4:32:54 time: 0.4881 data_time: 0.0182 memory: 17007 grad_norm: 8.7023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6786 loss: 1.6786 2022/07/28 16:44:11 - mmengine - INFO - Epoch(train) [112][3340/3757] lr: 3.2082e-03 eta: 1 day, 4:32:50 time: 0.7242 data_time: 0.0151 memory: 17007 grad_norm: 7.8800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7158 loss: 1.7158 2022/07/28 16:44:28 - mmengine - INFO - Epoch(train) [112][3360/3757] lr: 3.2082e-03 eta: 1 day, 4:32:48 time: 0.8494 data_time: 0.0929 memory: 17007 grad_norm: 8.2357 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9102 loss: 1.9102 2022/07/28 16:44:40 - mmengine - INFO - Epoch(train) [112][3380/3757] lr: 3.2082e-03 eta: 1 day, 4:32:42 time: 0.6069 data_time: 0.0165 memory: 17007 grad_norm: 8.1544 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0521 loss: 2.0521 2022/07/28 16:44:51 - mmengine - INFO - Epoch(train) [112][3400/3757] lr: 3.2082e-03 eta: 1 day, 4:32:35 time: 0.5017 data_time: 0.0189 memory: 17007 grad_norm: 8.3483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5436 loss: 1.5436 2022/07/28 16:45:01 - mmengine - INFO - Epoch(train) [112][3420/3757] lr: 3.2082e-03 eta: 1 day, 4:32:29 time: 0.5268 data_time: 0.0165 memory: 17007 grad_norm: 8.4849 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9269 loss: 1.9269 2022/07/28 16:45:17 - mmengine - INFO - Epoch(train) [112][3440/3757] lr: 3.2082e-03 eta: 1 day, 4:32:26 time: 0.8078 data_time: 0.0150 memory: 17007 grad_norm: 8.5133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3291 loss: 1.3291 2022/07/28 16:45:30 - mmengine - INFO - Epoch(train) [112][3460/3757] lr: 3.2082e-03 eta: 1 day, 4:32:21 time: 0.6428 data_time: 0.0219 memory: 17007 grad_norm: 8.1948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6406 loss: 1.6406 2022/07/28 16:45:41 - mmengine - INFO - Epoch(train) [112][3480/3757] lr: 3.2082e-03 eta: 1 day, 4:32:14 time: 0.5238 data_time: 0.0163 memory: 17007 grad_norm: 8.5944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7273 loss: 1.7273 2022/07/28 16:45:49 - mmengine - INFO - Epoch(train) [112][3500/3757] lr: 3.2082e-03 eta: 1 day, 4:32:06 time: 0.3977 data_time: 0.0159 memory: 17007 grad_norm: 8.5368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3962 loss: 1.3962 2022/07/28 16:45:57 - mmengine - INFO - Epoch(train) [112][3520/3757] lr: 3.2082e-03 eta: 1 day, 4:31:58 time: 0.4071 data_time: 0.0205 memory: 17007 grad_norm: 8.6326 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9401 loss: 1.9401 2022/07/28 16:46:05 - mmengine - INFO - Epoch(train) [112][3540/3757] lr: 3.2082e-03 eta: 1 day, 4:31:50 time: 0.3975 data_time: 0.0171 memory: 17007 grad_norm: 8.6556 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9132 loss: 1.9132 2022/07/28 16:46:13 - mmengine - INFO - Epoch(train) [112][3560/3757] lr: 3.2082e-03 eta: 1 day, 4:31:42 time: 0.4003 data_time: 0.0169 memory: 17007 grad_norm: 8.4031 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1337 loss: 2.1337 2022/07/28 16:46:21 - mmengine - INFO - Epoch(train) [112][3580/3757] lr: 3.2082e-03 eta: 1 day, 4:31:34 time: 0.3955 data_time: 0.0158 memory: 17007 grad_norm: 8.5157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8849 loss: 1.8849 2022/07/28 16:46:29 - mmengine - INFO - Epoch(train) [112][3600/3757] lr: 3.2082e-03 eta: 1 day, 4:31:26 time: 0.3946 data_time: 0.0147 memory: 17007 grad_norm: 8.3157 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8227 loss: 1.8227 2022/07/28 16:46:37 - mmengine - INFO - Epoch(train) [112][3620/3757] lr: 3.2082e-03 eta: 1 day, 4:31:18 time: 0.4158 data_time: 0.0173 memory: 17007 grad_norm: 8.5255 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7066 loss: 1.7066 2022/07/28 16:46:45 - mmengine - INFO - Epoch(train) [112][3640/3757] lr: 3.2082e-03 eta: 1 day, 4:31:10 time: 0.3954 data_time: 0.0145 memory: 17007 grad_norm: 8.6881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8802 loss: 1.8802 2022/07/28 16:46:53 - mmengine - INFO - Epoch(train) [112][3660/3757] lr: 3.2082e-03 eta: 1 day, 4:31:02 time: 0.4244 data_time: 0.0176 memory: 17007 grad_norm: 8.4925 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8288 loss: 1.8288 2022/07/28 16:47:01 - mmengine - INFO - Epoch(train) [112][3680/3757] lr: 3.2082e-03 eta: 1 day, 4:30:54 time: 0.3928 data_time: 0.0146 memory: 17007 grad_norm: 8.4846 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5711 loss: 1.5711 2022/07/28 16:47:09 - mmengine - INFO - Epoch(train) [112][3700/3757] lr: 3.2082e-03 eta: 1 day, 4:30:46 time: 0.4013 data_time: 0.0150 memory: 17007 grad_norm: 8.6010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4869 loss: 1.4869 2022/07/28 16:47:19 - mmengine - INFO - Epoch(train) [112][3720/3757] lr: 3.2082e-03 eta: 1 day, 4:30:39 time: 0.4984 data_time: 0.0373 memory: 17007 grad_norm: 8.7026 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8309 loss: 1.8309 2022/07/28 16:47:31 - mmengine - INFO - Epoch(train) [112][3740/3757] lr: 3.2082e-03 eta: 1 day, 4:30:33 time: 0.5728 data_time: 0.0146 memory: 17007 grad_norm: 8.5648 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9318 loss: 1.9318 2022/07/28 16:47:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 16:47:41 - mmengine - INFO - Epoch(train) [112][3757/3757] lr: 3.2082e-03 eta: 1 day, 4:30:33 time: 0.5539 data_time: 0.0980 memory: 17007 grad_norm: 8.7091 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5717 loss: 1.5717 2022/07/28 16:47:41 - mmengine - INFO - Saving checkpoint at 112 epochs 2022/07/28 16:48:01 - mmengine - INFO - Epoch(train) [113][20/3757] lr: 3.1270e-03 eta: 1 day, 4:30:20 time: 0.9103 data_time: 0.5127 memory: 17007 grad_norm: 8.1101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5312 loss: 1.5312 2022/07/28 16:48:10 - mmengine - INFO - Epoch(train) [113][40/3757] lr: 3.1270e-03 eta: 1 day, 4:30:13 time: 0.4605 data_time: 0.0760 memory: 17007 grad_norm: 8.1174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6153 loss: 1.6153 2022/07/28 16:48:23 - mmengine - INFO - Epoch(train) [113][60/3757] lr: 3.1270e-03 eta: 1 day, 4:30:07 time: 0.6150 data_time: 0.0153 memory: 17007 grad_norm: 8.3199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7626 loss: 1.7626 2022/07/28 16:48:43 - mmengine - INFO - Epoch(train) [113][80/3757] lr: 3.1270e-03 eta: 1 day, 4:30:07 time: 1.0280 data_time: 0.4205 memory: 17007 grad_norm: 8.0399 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3476 loss: 1.3476 2022/07/28 16:48:53 - mmengine - INFO - Epoch(train) [113][100/3757] lr: 3.1270e-03 eta: 1 day, 4:30:00 time: 0.5049 data_time: 0.0153 memory: 17007 grad_norm: 7.7915 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8143 loss: 1.8143 2022/07/28 16:49:07 - mmengine - INFO - Epoch(train) [113][120/3757] lr: 3.1270e-03 eta: 1 day, 4:29:56 time: 0.6870 data_time: 0.0172 memory: 17007 grad_norm: 8.2192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9724 loss: 1.9724 2022/07/28 16:49:19 - mmengine - INFO - Epoch(train) [113][140/3757] lr: 3.1270e-03 eta: 1 day, 4:29:50 time: 0.5934 data_time: 0.0601 memory: 17007 grad_norm: 8.4142 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0254 loss: 2.0254 2022/07/28 16:49:30 - mmengine - INFO - Epoch(train) [113][160/3757] lr: 3.1270e-03 eta: 1 day, 4:29:44 time: 0.5791 data_time: 0.1061 memory: 17007 grad_norm: 8.6133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7906 loss: 1.7906 2022/07/28 16:49:40 - mmengine - INFO - Epoch(train) [113][180/3757] lr: 3.1270e-03 eta: 1 day, 4:29:37 time: 0.4862 data_time: 0.0382 memory: 17007 grad_norm: 8.4759 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0187 loss: 2.0187 2022/07/28 16:49:56 - mmengine - INFO - Epoch(train) [113][200/3757] lr: 3.1270e-03 eta: 1 day, 4:29:34 time: 0.8121 data_time: 0.0386 memory: 17007 grad_norm: 8.5581 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7557 loss: 1.7557 2022/07/28 16:50:09 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 16:50:11 - mmengine - INFO - Epoch(train) [113][220/3757] lr: 3.1270e-03 eta: 1 day, 4:29:30 time: 0.7165 data_time: 0.0167 memory: 17007 grad_norm: 8.4344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6687 loss: 1.6687 2022/07/28 16:50:24 - mmengine - INFO - Epoch(train) [113][240/3757] lr: 3.1270e-03 eta: 1 day, 4:29:25 time: 0.6614 data_time: 0.0169 memory: 17007 grad_norm: 8.2790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5614 loss: 1.5614 2022/07/28 16:50:35 - mmengine - INFO - Epoch(train) [113][260/3757] lr: 3.1270e-03 eta: 1 day, 4:29:18 time: 0.5332 data_time: 0.0179 memory: 17007 grad_norm: 8.4308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6238 loss: 1.6238 2022/07/28 16:50:51 - mmengine - INFO - Epoch(train) [113][280/3757] lr: 3.1270e-03 eta: 1 day, 4:29:15 time: 0.8239 data_time: 0.0244 memory: 17007 grad_norm: 8.1960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7128 loss: 1.7128 2022/07/28 16:51:09 - mmengine - INFO - Epoch(train) [113][300/3757] lr: 3.1270e-03 eta: 1 day, 4:29:13 time: 0.8768 data_time: 0.4834 memory: 17007 grad_norm: 8.3503 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5365 loss: 1.5365 2022/07/28 16:51:19 - mmengine - INFO - Epoch(train) [113][320/3757] lr: 3.1270e-03 eta: 1 day, 4:29:06 time: 0.5022 data_time: 0.0185 memory: 17007 grad_norm: 8.3122 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8208 loss: 1.8208 2022/07/28 16:51:31 - mmengine - INFO - Epoch(train) [113][340/3757] lr: 3.1270e-03 eta: 1 day, 4:29:01 time: 0.5914 data_time: 0.0227 memory: 17007 grad_norm: 8.5866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6493 loss: 1.6493 2022/07/28 16:51:44 - mmengine - INFO - Epoch(train) [113][360/3757] lr: 3.1270e-03 eta: 1 day, 4:28:56 time: 0.6523 data_time: 0.0183 memory: 17007 grad_norm: 8.5053 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8635 loss: 1.8635 2022/07/28 16:52:01 - mmengine - INFO - Epoch(train) [113][380/3757] lr: 3.1270e-03 eta: 1 day, 4:28:53 time: 0.8894 data_time: 0.3901 memory: 17007 grad_norm: 8.5472 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6920 loss: 1.6920 2022/07/28 16:52:12 - mmengine - INFO - Epoch(train) [113][400/3757] lr: 3.1270e-03 eta: 1 day, 4:28:47 time: 0.5038 data_time: 0.0192 memory: 17007 grad_norm: 8.6554 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7753 loss: 1.7753 2022/07/28 16:52:29 - mmengine - INFO - Epoch(train) [113][420/3757] lr: 3.1270e-03 eta: 1 day, 4:28:44 time: 0.8560 data_time: 0.0165 memory: 17007 grad_norm: 8.6067 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7115 loss: 1.7115 2022/07/28 16:52:38 - mmengine - INFO - Epoch(train) [113][440/3757] lr: 3.1270e-03 eta: 1 day, 4:28:37 time: 0.4886 data_time: 0.0155 memory: 17007 grad_norm: 8.2005 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6961 loss: 1.6961 2022/07/28 16:52:54 - mmengine - INFO - Epoch(train) [113][460/3757] lr: 3.1270e-03 eta: 1 day, 4:28:33 time: 0.7597 data_time: 0.0146 memory: 17007 grad_norm: 8.8088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7830 loss: 1.7830 2022/07/28 16:53:05 - mmengine - INFO - Epoch(train) [113][480/3757] lr: 3.1270e-03 eta: 1 day, 4:28:28 time: 0.5896 data_time: 0.1383 memory: 17007 grad_norm: 8.5722 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6592 loss: 1.6592 2022/07/28 16:53:23 - mmengine - INFO - Epoch(train) [113][500/3757] lr: 3.1270e-03 eta: 1 day, 4:28:25 time: 0.8510 data_time: 0.0148 memory: 17007 grad_norm: 8.5914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9961 loss: 1.9961 2022/07/28 16:53:37 - mmengine - INFO - Epoch(train) [113][520/3757] lr: 3.1270e-03 eta: 1 day, 4:28:21 time: 0.7044 data_time: 0.3057 memory: 17007 grad_norm: 8.4108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8011 loss: 1.8011 2022/07/28 16:53:47 - mmengine - INFO - Epoch(train) [113][540/3757] lr: 3.1270e-03 eta: 1 day, 4:28:14 time: 0.5358 data_time: 0.0199 memory: 17007 grad_norm: 8.3389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6969 loss: 1.6969 2022/07/28 16:54:02 - mmengine - INFO - Epoch(train) [113][560/3757] lr: 3.1270e-03 eta: 1 day, 4:28:10 time: 0.7210 data_time: 0.0178 memory: 17007 grad_norm: 8.5366 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4346 loss: 1.4346 2022/07/28 16:54:15 - mmengine - INFO - Epoch(train) [113][580/3757] lr: 3.1270e-03 eta: 1 day, 4:28:05 time: 0.6461 data_time: 0.0187 memory: 17007 grad_norm: 8.7864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9941 loss: 1.9941 2022/07/28 16:54:26 - mmengine - INFO - Epoch(train) [113][600/3757] lr: 3.1270e-03 eta: 1 day, 4:27:59 time: 0.5801 data_time: 0.1059 memory: 17007 grad_norm: 8.2036 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0544 loss: 2.0544 2022/07/28 16:54:38 - mmengine - INFO - Epoch(train) [113][620/3757] lr: 3.1270e-03 eta: 1 day, 4:27:53 time: 0.5936 data_time: 0.1479 memory: 17007 grad_norm: 8.1436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6138 loss: 1.6138 2022/07/28 16:54:48 - mmengine - INFO - Epoch(train) [113][640/3757] lr: 3.1270e-03 eta: 1 day, 4:27:47 time: 0.5076 data_time: 0.0184 memory: 17007 grad_norm: 8.4081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6683 loss: 1.6683 2022/07/28 16:55:00 - mmengine - INFO - Epoch(train) [113][660/3757] lr: 3.1270e-03 eta: 1 day, 4:27:41 time: 0.5834 data_time: 0.0169 memory: 17007 grad_norm: 8.1518 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6886 loss: 1.6886 2022/07/28 16:55:12 - mmengine - INFO - Epoch(train) [113][680/3757] lr: 3.1270e-03 eta: 1 day, 4:27:35 time: 0.5966 data_time: 0.0207 memory: 17007 grad_norm: 8.4342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5828 loss: 1.5828 2022/07/28 16:55:24 - mmengine - INFO - Epoch(train) [113][700/3757] lr: 3.1270e-03 eta: 1 day, 4:27:29 time: 0.6071 data_time: 0.0343 memory: 17007 grad_norm: 8.4932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5525 loss: 1.5525 2022/07/28 16:55:39 - mmengine - INFO - Epoch(train) [113][720/3757] lr: 3.1270e-03 eta: 1 day, 4:27:26 time: 0.7570 data_time: 0.1952 memory: 17007 grad_norm: 9.0004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7109 loss: 1.7109 2022/07/28 16:55:50 - mmengine - INFO - Epoch(train) [113][740/3757] lr: 3.1270e-03 eta: 1 day, 4:27:19 time: 0.5100 data_time: 0.0171 memory: 17007 grad_norm: 8.4311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3982 loss: 1.3982 2022/07/28 16:56:06 - mmengine - INFO - Epoch(train) [113][760/3757] lr: 3.1270e-03 eta: 1 day, 4:27:16 time: 0.8261 data_time: 0.0185 memory: 17007 grad_norm: 8.6915 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9421 loss: 1.9421 2022/07/28 16:56:24 - mmengine - INFO - Epoch(train) [113][780/3757] lr: 3.1270e-03 eta: 1 day, 4:27:14 time: 0.9187 data_time: 0.0168 memory: 17007 grad_norm: 8.8813 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5948 loss: 1.5948 2022/07/28 16:56:36 - mmengine - INFO - Epoch(train) [113][800/3757] lr: 3.1270e-03 eta: 1 day, 4:27:08 time: 0.5760 data_time: 0.0251 memory: 17007 grad_norm: 8.3371 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9625 loss: 1.9625 2022/07/28 16:56:44 - mmengine - INFO - Epoch(train) [113][820/3757] lr: 3.1270e-03 eta: 1 day, 4:27:00 time: 0.4031 data_time: 0.0169 memory: 17007 grad_norm: 8.5412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8663 loss: 1.8663 2022/07/28 16:56:52 - mmengine - INFO - Epoch(train) [113][840/3757] lr: 3.1270e-03 eta: 1 day, 4:26:52 time: 0.3935 data_time: 0.0132 memory: 17007 grad_norm: 8.4212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6601 loss: 1.6601 2022/07/28 16:57:00 - mmengine - INFO - Epoch(train) [113][860/3757] lr: 3.1270e-03 eta: 1 day, 4:26:44 time: 0.4033 data_time: 0.0174 memory: 17007 grad_norm: 8.5347 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7460 loss: 1.7460 2022/07/28 16:57:08 - mmengine - INFO - Epoch(train) [113][880/3757] lr: 3.1270e-03 eta: 1 day, 4:26:36 time: 0.3947 data_time: 0.0130 memory: 17007 grad_norm: 8.3803 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7639 loss: 1.7639 2022/07/28 16:57:16 - mmengine - INFO - Epoch(train) [113][900/3757] lr: 3.1270e-03 eta: 1 day, 4:26:28 time: 0.4010 data_time: 0.0182 memory: 17007 grad_norm: 8.3828 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8590 loss: 1.8590 2022/07/28 16:57:24 - mmengine - INFO - Epoch(train) [113][920/3757] lr: 3.1270e-03 eta: 1 day, 4:26:20 time: 0.3977 data_time: 0.0154 memory: 17007 grad_norm: 8.3474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7317 loss: 1.7317 2022/07/28 16:57:32 - mmengine - INFO - Epoch(train) [113][940/3757] lr: 3.1270e-03 eta: 1 day, 4:26:12 time: 0.3979 data_time: 0.0174 memory: 17007 grad_norm: 8.3712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6604 loss: 1.6604 2022/07/28 16:57:40 - mmengine - INFO - Epoch(train) [113][960/3757] lr: 3.1270e-03 eta: 1 day, 4:26:04 time: 0.3974 data_time: 0.0138 memory: 17007 grad_norm: 8.4767 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0389 loss: 2.0389 2022/07/28 16:57:48 - mmengine - INFO - Epoch(train) [113][980/3757] lr: 3.1270e-03 eta: 1 day, 4:25:56 time: 0.4063 data_time: 0.0159 memory: 17007 grad_norm: 8.4994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6073 loss: 1.6073 2022/07/28 16:57:56 - mmengine - INFO - Epoch(train) [113][1000/3757] lr: 3.1270e-03 eta: 1 day, 4:25:47 time: 0.3950 data_time: 0.0150 memory: 17007 grad_norm: 8.3098 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6185 loss: 1.6185 2022/07/28 16:58:04 - mmengine - INFO - Epoch(train) [113][1020/3757] lr: 3.1270e-03 eta: 1 day, 4:25:40 time: 0.4186 data_time: 0.0167 memory: 17007 grad_norm: 8.7479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8042 loss: 1.8042 2022/07/28 16:58:12 - mmengine - INFO - Epoch(train) [113][1040/3757] lr: 3.1270e-03 eta: 1 day, 4:25:32 time: 0.3991 data_time: 0.0155 memory: 17007 grad_norm: 8.5975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7326 loss: 1.7326 2022/07/28 16:58:25 - mmengine - INFO - Epoch(train) [113][1060/3757] lr: 3.1270e-03 eta: 1 day, 4:25:26 time: 0.6489 data_time: 0.0696 memory: 17007 grad_norm: 8.5636 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/07/28 16:58:40 - mmengine - INFO - Epoch(train) [113][1080/3757] lr: 3.1270e-03 eta: 1 day, 4:25:22 time: 0.7103 data_time: 0.0141 memory: 17007 grad_norm: 8.3804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7059 loss: 1.7059 2022/07/28 16:58:52 - mmengine - INFO - Epoch(train) [113][1100/3757] lr: 3.1270e-03 eta: 1 day, 4:25:17 time: 0.6042 data_time: 0.0865 memory: 17007 grad_norm: 8.8267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8478 loss: 1.8478 2022/07/28 16:59:02 - mmengine - INFO - Epoch(train) [113][1120/3757] lr: 3.1270e-03 eta: 1 day, 4:25:10 time: 0.5392 data_time: 0.0291 memory: 17007 grad_norm: 8.4456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7610 loss: 1.7610 2022/07/28 16:59:14 - mmengine - INFO - Epoch(train) [113][1140/3757] lr: 3.1270e-03 eta: 1 day, 4:25:04 time: 0.5922 data_time: 0.0251 memory: 17007 grad_norm: 8.3584 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5991 loss: 1.5991 2022/07/28 16:59:33 - mmengine - INFO - Epoch(train) [113][1160/3757] lr: 3.1270e-03 eta: 1 day, 4:25:03 time: 0.9186 data_time: 0.0168 memory: 17007 grad_norm: 8.4629 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5931 loss: 1.5931 2022/07/28 16:59:44 - mmengine - INFO - Epoch(train) [113][1180/3757] lr: 3.1270e-03 eta: 1 day, 4:24:56 time: 0.5558 data_time: 0.0159 memory: 17007 grad_norm: 8.7296 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.9643 loss: 1.9643 2022/07/28 16:59:54 - mmengine - INFO - Epoch(train) [113][1200/3757] lr: 3.1270e-03 eta: 1 day, 4:24:49 time: 0.4897 data_time: 0.0163 memory: 17007 grad_norm: 8.5546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7419 loss: 1.7419 2022/07/28 17:00:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 17:00:04 - mmengine - INFO - Epoch(train) [113][1220/3757] lr: 3.1270e-03 eta: 1 day, 4:24:43 time: 0.5121 data_time: 0.0182 memory: 17007 grad_norm: 8.4183 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6289 loss: 1.6289 2022/07/28 17:00:14 - mmengine - INFO - Epoch(train) [113][1240/3757] lr: 3.1270e-03 eta: 1 day, 4:24:36 time: 0.5122 data_time: 0.0206 memory: 17007 grad_norm: 8.4614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6114 loss: 1.6114 2022/07/28 17:00:26 - mmengine - INFO - Epoch(train) [113][1260/3757] lr: 3.1270e-03 eta: 1 day, 4:24:30 time: 0.5692 data_time: 0.0277 memory: 17007 grad_norm: 8.6912 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7942 loss: 1.7942 2022/07/28 17:00:43 - mmengine - INFO - Epoch(train) [113][1280/3757] lr: 3.1270e-03 eta: 1 day, 4:24:27 time: 0.8545 data_time: 0.0778 memory: 17007 grad_norm: 8.4146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7286 loss: 1.7286 2022/07/28 17:00:56 - mmengine - INFO - Epoch(train) [113][1300/3757] lr: 3.1270e-03 eta: 1 day, 4:24:23 time: 0.6777 data_time: 0.0196 memory: 17007 grad_norm: 8.4647 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9081 loss: 1.9081 2022/07/28 17:01:08 - mmengine - INFO - Epoch(train) [113][1320/3757] lr: 3.1270e-03 eta: 1 day, 4:24:17 time: 0.6087 data_time: 0.0207 memory: 17007 grad_norm: 8.4051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5538 loss: 1.5538 2022/07/28 17:01:19 - mmengine - INFO - Epoch(train) [113][1340/3757] lr: 3.1270e-03 eta: 1 day, 4:24:10 time: 0.5238 data_time: 0.1009 memory: 17007 grad_norm: 8.5694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4916 loss: 1.4916 2022/07/28 17:01:36 - mmengine - INFO - Epoch(train) [113][1360/3757] lr: 3.1270e-03 eta: 1 day, 4:24:08 time: 0.8563 data_time: 0.3698 memory: 17007 grad_norm: 8.6149 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5980 loss: 1.5980 2022/07/28 17:01:45 - mmengine - INFO - Epoch(train) [113][1380/3757] lr: 3.1270e-03 eta: 1 day, 4:24:01 time: 0.4748 data_time: 0.0153 memory: 17007 grad_norm: 8.3979 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0494 loss: 2.0494 2022/07/28 17:01:56 - mmengine - INFO - Epoch(train) [113][1400/3757] lr: 3.1270e-03 eta: 1 day, 4:23:54 time: 0.5327 data_time: 0.0384 memory: 17007 grad_norm: 8.6449 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7452 loss: 1.7452 2022/07/28 17:02:09 - mmengine - INFO - Epoch(train) [113][1420/3757] lr: 3.1270e-03 eta: 1 day, 4:23:49 time: 0.6188 data_time: 0.0171 memory: 17007 grad_norm: 8.1989 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6783 loss: 1.6783 2022/07/28 17:02:20 - mmengine - INFO - Epoch(train) [113][1440/3757] lr: 3.1270e-03 eta: 1 day, 4:23:43 time: 0.5875 data_time: 0.0168 memory: 17007 grad_norm: 8.6958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8934 loss: 1.8934 2022/07/28 17:02:32 - mmengine - INFO - Epoch(train) [113][1460/3757] lr: 3.1270e-03 eta: 1 day, 4:23:37 time: 0.6055 data_time: 0.0209 memory: 17007 grad_norm: 8.6033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1918 loss: 2.1918 2022/07/28 17:02:47 - mmengine - INFO - Epoch(train) [113][1480/3757] lr: 3.1270e-03 eta: 1 day, 4:23:33 time: 0.7266 data_time: 0.3313 memory: 17007 grad_norm: 8.2200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8344 loss: 1.8344 2022/07/28 17:02:58 - mmengine - INFO - Epoch(train) [113][1500/3757] lr: 3.1270e-03 eta: 1 day, 4:23:27 time: 0.5544 data_time: 0.0165 memory: 17007 grad_norm: 8.3255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8482 loss: 1.8482 2022/07/28 17:03:11 - mmengine - INFO - Epoch(train) [113][1520/3757] lr: 3.1270e-03 eta: 1 day, 4:23:22 time: 0.6384 data_time: 0.0881 memory: 17007 grad_norm: 8.4418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4687 loss: 1.4687 2022/07/28 17:03:29 - mmengine - INFO - Epoch(train) [113][1540/3757] lr: 3.1270e-03 eta: 1 day, 4:23:20 time: 0.9072 data_time: 0.0149 memory: 17007 grad_norm: 8.6177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8547 loss: 1.8547 2022/07/28 17:03:41 - mmengine - INFO - Epoch(train) [113][1560/3757] lr: 3.1270e-03 eta: 1 day, 4:23:14 time: 0.5941 data_time: 0.1412 memory: 17007 grad_norm: 8.7372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6453 loss: 1.6453 2022/07/28 17:03:52 - mmengine - INFO - Epoch(train) [113][1580/3757] lr: 3.1270e-03 eta: 1 day, 4:23:08 time: 0.5620 data_time: 0.0451 memory: 17007 grad_norm: 8.8838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7777 loss: 1.7777 2022/07/28 17:04:06 - mmengine - INFO - Epoch(train) [113][1600/3757] lr: 3.1270e-03 eta: 1 day, 4:23:03 time: 0.7039 data_time: 0.0151 memory: 17007 grad_norm: 8.6690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8160 loss: 1.8160 2022/07/28 17:04:20 - mmengine - INFO - Epoch(train) [113][1620/3757] lr: 3.1270e-03 eta: 1 day, 4:22:59 time: 0.6990 data_time: 0.0161 memory: 17007 grad_norm: 8.4840 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2965 loss: 1.2965 2022/07/28 17:04:36 - mmengine - INFO - Epoch(train) [113][1640/3757] lr: 3.1270e-03 eta: 1 day, 4:22:56 time: 0.8087 data_time: 0.0434 memory: 17007 grad_norm: 8.7072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5594 loss: 1.5594 2022/07/28 17:04:46 - mmengine - INFO - Epoch(train) [113][1660/3757] lr: 3.1270e-03 eta: 1 day, 4:22:49 time: 0.4952 data_time: 0.0191 memory: 17007 grad_norm: 8.6598 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3955 loss: 1.3955 2022/07/28 17:04:57 - mmengine - INFO - Epoch(train) [113][1680/3757] lr: 3.1270e-03 eta: 1 day, 4:22:42 time: 0.5144 data_time: 0.0421 memory: 17007 grad_norm: 9.3603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8045 loss: 1.8045 2022/07/28 17:05:09 - mmengine - INFO - Epoch(train) [113][1700/3757] lr: 3.1270e-03 eta: 1 day, 4:22:37 time: 0.6365 data_time: 0.0704 memory: 17007 grad_norm: 8.9549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7581 loss: 1.7581 2022/07/28 17:05:21 - mmengine - INFO - Epoch(train) [113][1720/3757] lr: 3.1270e-03 eta: 1 day, 4:22:31 time: 0.5869 data_time: 0.0204 memory: 17007 grad_norm: 8.8972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8563 loss: 1.8563 2022/07/28 17:05:33 - mmengine - INFO - Epoch(train) [113][1740/3757] lr: 3.1270e-03 eta: 1 day, 4:22:25 time: 0.5895 data_time: 0.0183 memory: 17007 grad_norm: 8.6751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3777 loss: 1.3777 2022/07/28 17:05:45 - mmengine - INFO - Epoch(train) [113][1760/3757] lr: 3.1270e-03 eta: 1 day, 4:22:20 time: 0.6078 data_time: 0.0154 memory: 17007 grad_norm: 8.3416 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6817 loss: 1.6817 2022/07/28 17:05:55 - mmengine - INFO - Epoch(train) [113][1780/3757] lr: 3.1270e-03 eta: 1 day, 4:22:13 time: 0.4830 data_time: 0.0183 memory: 17007 grad_norm: 8.9149 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7775 loss: 1.7775 2022/07/28 17:06:09 - mmengine - INFO - Epoch(train) [113][1800/3757] lr: 3.1270e-03 eta: 1 day, 4:22:08 time: 0.6877 data_time: 0.1135 memory: 17007 grad_norm: 8.8188 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8237 loss: 1.8237 2022/07/28 17:06:20 - mmengine - INFO - Epoch(train) [113][1820/3757] lr: 3.1270e-03 eta: 1 day, 4:22:02 time: 0.5945 data_time: 0.0157 memory: 17007 grad_norm: 8.9794 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8687 loss: 1.8687 2022/07/28 17:06:38 - mmengine - INFO - Epoch(train) [113][1840/3757] lr: 3.1270e-03 eta: 1 day, 4:22:00 time: 0.8561 data_time: 0.0176 memory: 17007 grad_norm: 8.8064 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9440 loss: 1.9440 2022/07/28 17:06:47 - mmengine - INFO - Epoch(train) [113][1860/3757] lr: 3.1270e-03 eta: 1 day, 4:21:53 time: 0.4931 data_time: 0.0261 memory: 17007 grad_norm: 8.5052 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5402 loss: 1.5402 2022/07/28 17:07:02 - mmengine - INFO - Epoch(train) [113][1880/3757] lr: 3.1270e-03 eta: 1 day, 4:21:48 time: 0.7082 data_time: 0.0099 memory: 17007 grad_norm: 8.3365 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5805 loss: 1.5805 2022/07/28 17:07:12 - mmengine - INFO - Epoch(train) [113][1900/3757] lr: 3.1270e-03 eta: 1 day, 4:21:42 time: 0.5216 data_time: 0.0822 memory: 17007 grad_norm: 8.4402 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.5529 loss: 1.5529 2022/07/28 17:07:21 - mmengine - INFO - Epoch(train) [113][1920/3757] lr: 3.1270e-03 eta: 1 day, 4:21:34 time: 0.4571 data_time: 0.0778 memory: 17007 grad_norm: 8.2093 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7366 loss: 1.7366 2022/07/28 17:07:29 - mmengine - INFO - Epoch(train) [113][1940/3757] lr: 3.1270e-03 eta: 1 day, 4:21:26 time: 0.3933 data_time: 0.0133 memory: 17007 grad_norm: 8.0803 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8264 loss: 1.8264 2022/07/28 17:07:37 - mmengine - INFO - Epoch(train) [113][1960/3757] lr: 3.1270e-03 eta: 1 day, 4:21:18 time: 0.4054 data_time: 0.0173 memory: 17007 grad_norm: 8.3175 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9459 loss: 1.9459 2022/07/28 17:07:45 - mmengine - INFO - Epoch(train) [113][1980/3757] lr: 3.1270e-03 eta: 1 day, 4:21:10 time: 0.3968 data_time: 0.0158 memory: 17007 grad_norm: 8.4833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6503 loss: 1.6503 2022/07/28 17:07:54 - mmengine - INFO - Epoch(train) [113][2000/3757] lr: 3.1270e-03 eta: 1 day, 4:21:02 time: 0.4308 data_time: 0.0191 memory: 17007 grad_norm: 8.5620 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8074 loss: 1.8074 2022/07/28 17:08:02 - mmengine - INFO - Epoch(train) [113][2020/3757] lr: 3.1270e-03 eta: 1 day, 4:20:54 time: 0.3944 data_time: 0.0136 memory: 17007 grad_norm: 8.1171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5548 loss: 1.5548 2022/07/28 17:08:10 - mmengine - INFO - Epoch(train) [113][2040/3757] lr: 3.1270e-03 eta: 1 day, 4:20:46 time: 0.3963 data_time: 0.0169 memory: 17007 grad_norm: 8.4586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5573 loss: 1.5573 2022/07/28 17:08:18 - mmengine - INFO - Epoch(train) [113][2060/3757] lr: 3.1270e-03 eta: 1 day, 4:20:38 time: 0.4199 data_time: 0.0153 memory: 17007 grad_norm: 8.8232 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8799 loss: 1.8799 2022/07/28 17:08:26 - mmengine - INFO - Epoch(train) [113][2080/3757] lr: 3.1270e-03 eta: 1 day, 4:20:30 time: 0.3969 data_time: 0.0173 memory: 17007 grad_norm: 8.5351 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6140 loss: 1.6140 2022/07/28 17:08:34 - mmengine - INFO - Epoch(train) [113][2100/3757] lr: 3.1270e-03 eta: 1 day, 4:20:22 time: 0.4083 data_time: 0.0152 memory: 17007 grad_norm: 8.5457 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8722 loss: 1.8722 2022/07/28 17:08:42 - mmengine - INFO - Epoch(train) [113][2120/3757] lr: 3.1270e-03 eta: 1 day, 4:20:14 time: 0.3955 data_time: 0.0161 memory: 17007 grad_norm: 8.2188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6335 loss: 1.6335 2022/07/28 17:08:52 - mmengine - INFO - Epoch(train) [113][2140/3757] lr: 3.1270e-03 eta: 1 day, 4:20:07 time: 0.4955 data_time: 0.0168 memory: 17007 grad_norm: 8.5118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9149 loss: 1.9149 2022/07/28 17:09:00 - mmengine - INFO - Epoch(train) [113][2160/3757] lr: 3.1270e-03 eta: 1 day, 4:19:59 time: 0.4195 data_time: 0.0154 memory: 17007 grad_norm: 8.4082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7261 loss: 1.7261 2022/07/28 17:09:16 - mmengine - INFO - Epoch(train) [113][2180/3757] lr: 3.1270e-03 eta: 1 day, 4:19:55 time: 0.7638 data_time: 0.1976 memory: 17007 grad_norm: 8.7526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8488 loss: 1.8488 2022/07/28 17:09:26 - mmengine - INFO - Epoch(train) [113][2200/3757] lr: 3.1270e-03 eta: 1 day, 4:19:48 time: 0.4991 data_time: 0.0164 memory: 17007 grad_norm: 8.7210 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6930 loss: 1.6930 2022/07/28 17:09:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 17:09:37 - mmengine - INFO - Epoch(train) [113][2220/3757] lr: 3.1270e-03 eta: 1 day, 4:19:43 time: 0.5876 data_time: 0.0159 memory: 17007 grad_norm: 8.5160 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4578 loss: 1.4578 2022/07/28 17:09:47 - mmengine - INFO - Epoch(train) [113][2240/3757] lr: 3.1270e-03 eta: 1 day, 4:19:36 time: 0.4956 data_time: 0.0165 memory: 17007 grad_norm: 8.4834 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7056 loss: 1.7056 2022/07/28 17:09:59 - mmengine - INFO - Epoch(train) [113][2260/3757] lr: 3.1270e-03 eta: 1 day, 4:19:30 time: 0.5734 data_time: 0.0135 memory: 17007 grad_norm: 8.8848 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7131 loss: 1.7131 2022/07/28 17:10:12 - mmengine - INFO - Epoch(train) [113][2280/3757] lr: 3.1270e-03 eta: 1 day, 4:19:24 time: 0.6366 data_time: 0.0171 memory: 17007 grad_norm: 8.3782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5878 loss: 1.5878 2022/07/28 17:10:22 - mmengine - INFO - Epoch(train) [113][2300/3757] lr: 3.1270e-03 eta: 1 day, 4:19:18 time: 0.5112 data_time: 0.0774 memory: 17007 grad_norm: 8.5027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3956 loss: 1.3956 2022/07/28 17:10:34 - mmengine - INFO - Epoch(train) [113][2320/3757] lr: 3.1270e-03 eta: 1 day, 4:19:12 time: 0.6110 data_time: 0.0162 memory: 17007 grad_norm: 8.8286 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5555 loss: 1.5555 2022/07/28 17:10:47 - mmengine - INFO - Epoch(train) [113][2340/3757] lr: 3.1270e-03 eta: 1 day, 4:19:07 time: 0.6296 data_time: 0.0171 memory: 17007 grad_norm: 8.6714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7961 loss: 1.7961 2022/07/28 17:10:59 - mmengine - INFO - Epoch(train) [113][2360/3757] lr: 3.1270e-03 eta: 1 day, 4:19:01 time: 0.5981 data_time: 0.0160 memory: 17007 grad_norm: 8.1788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9478 loss: 1.9478 2022/07/28 17:11:14 - mmengine - INFO - Epoch(train) [113][2380/3757] lr: 3.1270e-03 eta: 1 day, 4:18:57 time: 0.7657 data_time: 0.0199 memory: 17007 grad_norm: 8.8744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6565 loss: 1.6565 2022/07/28 17:11:26 - mmengine - INFO - Epoch(train) [113][2400/3757] lr: 3.1270e-03 eta: 1 day, 4:18:51 time: 0.5764 data_time: 0.0169 memory: 17007 grad_norm: 8.7871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9008 loss: 1.9008 2022/07/28 17:11:37 - mmengine - INFO - Epoch(train) [113][2420/3757] lr: 3.1270e-03 eta: 1 day, 4:18:46 time: 0.5918 data_time: 0.0247 memory: 17007 grad_norm: 8.7560 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6244 loss: 1.6244 2022/07/28 17:11:49 - mmengine - INFO - Epoch(train) [113][2440/3757] lr: 3.1270e-03 eta: 1 day, 4:18:40 time: 0.5930 data_time: 0.0339 memory: 17007 grad_norm: 8.5099 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8218 loss: 1.8218 2022/07/28 17:12:05 - mmengine - INFO - Epoch(train) [113][2460/3757] lr: 3.1270e-03 eta: 1 day, 4:18:36 time: 0.7728 data_time: 0.0178 memory: 17007 grad_norm: 8.1664 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6511 loss: 1.6511 2022/07/28 17:12:19 - mmengine - INFO - Epoch(train) [113][2480/3757] lr: 3.1270e-03 eta: 1 day, 4:18:31 time: 0.6888 data_time: 0.0304 memory: 17007 grad_norm: 8.7461 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6195 loss: 1.6195 2022/07/28 17:12:30 - mmengine - INFO - Epoch(train) [113][2500/3757] lr: 3.1270e-03 eta: 1 day, 4:18:26 time: 0.5815 data_time: 0.1130 memory: 17007 grad_norm: 8.4098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6992 loss: 1.6992 2022/07/28 17:12:41 - mmengine - INFO - Epoch(train) [113][2520/3757] lr: 3.1270e-03 eta: 1 day, 4:18:19 time: 0.5548 data_time: 0.0180 memory: 17007 grad_norm: 8.5941 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7706 loss: 1.7706 2022/07/28 17:12:54 - mmengine - INFO - Epoch(train) [113][2540/3757] lr: 3.1270e-03 eta: 1 day, 4:18:14 time: 0.6360 data_time: 0.0204 memory: 17007 grad_norm: 8.8262 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5961 loss: 1.5961 2022/07/28 17:13:06 - mmengine - INFO - Epoch(train) [113][2560/3757] lr: 3.1270e-03 eta: 1 day, 4:18:08 time: 0.5962 data_time: 0.0145 memory: 17007 grad_norm: 8.6723 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6007 loss: 1.6007 2022/07/28 17:13:19 - mmengine - INFO - Epoch(train) [113][2580/3757] lr: 3.1270e-03 eta: 1 day, 4:18:03 time: 0.6510 data_time: 0.0170 memory: 17007 grad_norm: 8.5947 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7556 loss: 1.7556 2022/07/28 17:13:33 - mmengine - INFO - Epoch(train) [113][2600/3757] lr: 3.1270e-03 eta: 1 day, 4:17:59 time: 0.6863 data_time: 0.0162 memory: 17007 grad_norm: 8.5894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7427 loss: 1.7427 2022/07/28 17:13:49 - mmengine - INFO - Epoch(train) [113][2620/3757] lr: 3.1270e-03 eta: 1 day, 4:17:56 time: 0.8270 data_time: 0.0304 memory: 17007 grad_norm: 8.3898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9550 loss: 1.9550 2022/07/28 17:14:00 - mmengine - INFO - Epoch(train) [113][2640/3757] lr: 3.1270e-03 eta: 1 day, 4:17:49 time: 0.5262 data_time: 0.0189 memory: 17007 grad_norm: 8.4273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6121 loss: 1.6121 2022/07/28 17:14:12 - mmengine - INFO - Epoch(train) [113][2660/3757] lr: 3.1270e-03 eta: 1 day, 4:17:43 time: 0.6066 data_time: 0.0150 memory: 17007 grad_norm: 8.7502 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0031 loss: 2.0031 2022/07/28 17:14:23 - mmengine - INFO - Epoch(train) [113][2680/3757] lr: 3.1270e-03 eta: 1 day, 4:17:37 time: 0.5640 data_time: 0.0173 memory: 17007 grad_norm: 8.5503 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5560 loss: 1.5560 2022/07/28 17:14:35 - mmengine - INFO - Epoch(train) [113][2700/3757] lr: 3.1270e-03 eta: 1 day, 4:17:32 time: 0.6027 data_time: 0.0268 memory: 17007 grad_norm: 8.2332 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6037 loss: 1.6037 2022/07/28 17:14:46 - mmengine - INFO - Epoch(train) [113][2720/3757] lr: 3.1270e-03 eta: 1 day, 4:17:25 time: 0.5583 data_time: 0.0377 memory: 17007 grad_norm: 8.7426 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9683 loss: 1.9683 2022/07/28 17:14:59 - mmengine - INFO - Epoch(train) [113][2740/3757] lr: 3.1270e-03 eta: 1 day, 4:17:20 time: 0.5994 data_time: 0.0148 memory: 17007 grad_norm: 8.4615 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8885 loss: 1.8885 2022/07/28 17:15:11 - mmengine - INFO - Epoch(train) [113][2760/3757] lr: 3.1270e-03 eta: 1 day, 4:17:14 time: 0.6141 data_time: 0.0179 memory: 17007 grad_norm: 8.4090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5786 loss: 1.5786 2022/07/28 17:15:21 - mmengine - INFO - Epoch(train) [113][2780/3757] lr: 3.1270e-03 eta: 1 day, 4:17:07 time: 0.5047 data_time: 0.0231 memory: 17007 grad_norm: 8.3589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7251 loss: 1.7251 2022/07/28 17:15:33 - mmengine - INFO - Epoch(train) [113][2800/3757] lr: 3.1270e-03 eta: 1 day, 4:17:02 time: 0.6005 data_time: 0.0150 memory: 17007 grad_norm: 8.4609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6224 loss: 1.6224 2022/07/28 17:15:46 - mmengine - INFO - Epoch(train) [113][2820/3757] lr: 3.1270e-03 eta: 1 day, 4:16:56 time: 0.6451 data_time: 0.0861 memory: 17007 grad_norm: 8.5840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7619 loss: 1.7619 2022/07/28 17:15:57 - mmengine - INFO - Epoch(train) [113][2840/3757] lr: 3.1270e-03 eta: 1 day, 4:16:50 time: 0.5763 data_time: 0.0160 memory: 17007 grad_norm: 8.6336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3940 loss: 1.3940 2022/07/28 17:16:11 - mmengine - INFO - Epoch(train) [113][2860/3757] lr: 3.1270e-03 eta: 1 day, 4:16:46 time: 0.6789 data_time: 0.0164 memory: 17007 grad_norm: 8.4755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6482 loss: 1.6482 2022/07/28 17:16:24 - mmengine - INFO - Epoch(train) [113][2880/3757] lr: 3.1270e-03 eta: 1 day, 4:16:40 time: 0.6269 data_time: 0.0176 memory: 17007 grad_norm: 8.4385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4836 loss: 1.4836 2022/07/28 17:16:35 - mmengine - INFO - Epoch(train) [113][2900/3757] lr: 3.1270e-03 eta: 1 day, 4:16:34 time: 0.5954 data_time: 0.1216 memory: 17007 grad_norm: 8.3919 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4150 loss: 1.4150 2022/07/28 17:16:47 - mmengine - INFO - Epoch(train) [113][2920/3757] lr: 3.1270e-03 eta: 1 day, 4:16:28 time: 0.5773 data_time: 0.1013 memory: 17007 grad_norm: 8.4919 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9026 loss: 1.9026 2022/07/28 17:16:57 - mmengine - INFO - Epoch(train) [113][2940/3757] lr: 3.1270e-03 eta: 1 day, 4:16:21 time: 0.4868 data_time: 0.0164 memory: 17007 grad_norm: 8.4473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7819 loss: 1.7819 2022/07/28 17:17:05 - mmengine - INFO - Epoch(train) [113][2960/3757] lr: 3.1270e-03 eta: 1 day, 4:16:13 time: 0.4102 data_time: 0.0130 memory: 17007 grad_norm: 8.7129 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9988 loss: 1.9988 2022/07/28 17:17:14 - mmengine - INFO - Epoch(train) [113][2980/3757] lr: 3.1270e-03 eta: 1 day, 4:16:06 time: 0.4389 data_time: 0.0170 memory: 17007 grad_norm: 8.3826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9006 loss: 1.9006 2022/07/28 17:17:25 - mmengine - INFO - Epoch(train) [113][3000/3757] lr: 3.1270e-03 eta: 1 day, 4:15:59 time: 0.5485 data_time: 0.0153 memory: 17007 grad_norm: 8.4146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7381 loss: 1.7381 2022/07/28 17:17:35 - mmengine - INFO - Epoch(train) [113][3020/3757] lr: 3.1270e-03 eta: 1 day, 4:15:53 time: 0.4984 data_time: 0.0359 memory: 17007 grad_norm: 8.5994 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9665 loss: 1.9665 2022/07/28 17:17:53 - mmengine - INFO - Epoch(train) [113][3040/3757] lr: 3.1270e-03 eta: 1 day, 4:15:51 time: 0.9188 data_time: 0.1726 memory: 17007 grad_norm: 8.4244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7743 loss: 1.7743 2022/07/28 17:18:04 - mmengine - INFO - Epoch(train) [113][3060/3757] lr: 3.1270e-03 eta: 1 day, 4:15:44 time: 0.5231 data_time: 0.0159 memory: 17007 grad_norm: 8.4671 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0509 loss: 2.0509 2022/07/28 17:18:12 - mmengine - INFO - Epoch(train) [113][3080/3757] lr: 3.1270e-03 eta: 1 day, 4:15:36 time: 0.3981 data_time: 0.0153 memory: 17007 grad_norm: 8.7728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5721 loss: 1.5721 2022/07/28 17:18:20 - mmengine - INFO - Epoch(train) [113][3100/3757] lr: 3.1270e-03 eta: 1 day, 4:15:28 time: 0.3987 data_time: 0.0167 memory: 17007 grad_norm: 8.7579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6399 loss: 1.6399 2022/07/28 17:18:28 - mmengine - INFO - Epoch(train) [113][3120/3757] lr: 3.1270e-03 eta: 1 day, 4:15:20 time: 0.4045 data_time: 0.0172 memory: 17007 grad_norm: 8.4146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6573 loss: 1.6573 2022/07/28 17:18:36 - mmengine - INFO - Epoch(train) [113][3140/3757] lr: 3.1270e-03 eta: 1 day, 4:15:12 time: 0.3973 data_time: 0.0160 memory: 17007 grad_norm: 8.4691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7302 loss: 1.7302 2022/07/28 17:18:45 - mmengine - INFO - Epoch(train) [113][3160/3757] lr: 3.1270e-03 eta: 1 day, 4:15:04 time: 0.4589 data_time: 0.0172 memory: 17007 grad_norm: 8.7165 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.6583 loss: 1.6583 2022/07/28 17:18:57 - mmengine - INFO - Epoch(train) [113][3180/3757] lr: 3.1270e-03 eta: 1 day, 4:14:58 time: 0.5844 data_time: 0.0493 memory: 17007 grad_norm: 8.4586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8988 loss: 1.8988 2022/07/28 17:19:12 - mmengine - INFO - Epoch(train) [113][3200/3757] lr: 3.1270e-03 eta: 1 day, 4:14:55 time: 0.7986 data_time: 0.3735 memory: 17007 grad_norm: 8.6725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8536 loss: 1.8536 2022/07/28 17:19:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 17:19:24 - mmengine - INFO - Epoch(train) [113][3220/3757] lr: 3.1270e-03 eta: 1 day, 4:14:49 time: 0.5791 data_time: 0.0178 memory: 17007 grad_norm: 8.7153 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0502 loss: 2.0502 2022/07/28 17:19:36 - mmengine - INFO - Epoch(train) [113][3240/3757] lr: 3.1270e-03 eta: 1 day, 4:14:43 time: 0.5870 data_time: 0.0211 memory: 17007 grad_norm: 8.7094 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8373 loss: 1.8373 2022/07/28 17:19:47 - mmengine - INFO - Epoch(train) [113][3260/3757] lr: 3.1270e-03 eta: 1 day, 4:14:37 time: 0.5757 data_time: 0.0188 memory: 17007 grad_norm: 8.8492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7817 loss: 1.7817 2022/07/28 17:20:06 - mmengine - INFO - Epoch(train) [113][3280/3757] lr: 3.1270e-03 eta: 1 day, 4:14:36 time: 0.9516 data_time: 0.0170 memory: 17007 grad_norm: 8.2147 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7610 loss: 1.7610 2022/07/28 17:20:25 - mmengine - INFO - Epoch(train) [113][3300/3757] lr: 3.1270e-03 eta: 1 day, 4:14:33 time: 0.9065 data_time: 0.0224 memory: 17007 grad_norm: 8.3237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3726 loss: 1.3726 2022/07/28 17:20:37 - mmengine - INFO - Epoch(train) [113][3320/3757] lr: 3.1270e-03 eta: 1 day, 4:14:28 time: 0.6304 data_time: 0.0168 memory: 17007 grad_norm: 8.2407 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7443 loss: 1.7443 2022/07/28 17:20:48 - mmengine - INFO - Epoch(train) [113][3340/3757] lr: 3.1270e-03 eta: 1 day, 4:14:22 time: 0.5514 data_time: 0.0167 memory: 17007 grad_norm: 8.3693 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9907 loss: 1.9907 2022/07/28 17:20:59 - mmengine - INFO - Epoch(train) [113][3360/3757] lr: 3.1270e-03 eta: 1 day, 4:14:15 time: 0.5336 data_time: 0.0168 memory: 17007 grad_norm: 8.3412 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6977 loss: 1.6977 2022/07/28 17:21:11 - mmengine - INFO - Epoch(train) [113][3380/3757] lr: 3.1270e-03 eta: 1 day, 4:14:10 time: 0.6072 data_time: 0.0202 memory: 17007 grad_norm: 8.3392 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4523 loss: 1.4523 2022/07/28 17:21:22 - mmengine - INFO - Epoch(train) [113][3400/3757] lr: 3.1270e-03 eta: 1 day, 4:14:03 time: 0.5242 data_time: 0.0140 memory: 17007 grad_norm: 8.5973 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7655 loss: 1.7655 2022/07/28 17:21:34 - mmengine - INFO - Epoch(train) [113][3420/3757] lr: 3.1270e-03 eta: 1 day, 4:13:57 time: 0.6160 data_time: 0.0193 memory: 17007 grad_norm: 9.0285 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.0165 loss: 2.0165 2022/07/28 17:21:44 - mmengine - INFO - Epoch(train) [113][3440/3757] lr: 3.1270e-03 eta: 1 day, 4:13:50 time: 0.4846 data_time: 0.0165 memory: 17007 grad_norm: 8.7276 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9303 loss: 1.9303 2022/07/28 17:21:53 - mmengine - INFO - Epoch(train) [113][3460/3757] lr: 3.1270e-03 eta: 1 day, 4:13:43 time: 0.4930 data_time: 0.0144 memory: 17007 grad_norm: 8.4697 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1651 loss: 2.1651 2022/07/28 17:22:06 - mmengine - INFO - Epoch(train) [113][3480/3757] lr: 3.1270e-03 eta: 1 day, 4:13:38 time: 0.6368 data_time: 0.0183 memory: 17007 grad_norm: 8.6614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6855 loss: 1.6855 2022/07/28 17:22:16 - mmengine - INFO - Epoch(train) [113][3500/3757] lr: 3.1270e-03 eta: 1 day, 4:13:31 time: 0.5133 data_time: 0.0508 memory: 17007 grad_norm: 8.2241 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8682 loss: 1.8682 2022/07/28 17:22:28 - mmengine - INFO - Epoch(train) [113][3520/3757] lr: 3.1270e-03 eta: 1 day, 4:13:25 time: 0.5732 data_time: 0.0167 memory: 17007 grad_norm: 8.3082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8207 loss: 1.8207 2022/07/28 17:22:41 - mmengine - INFO - Epoch(train) [113][3540/3757] lr: 3.1270e-03 eta: 1 day, 4:13:20 time: 0.6643 data_time: 0.1650 memory: 17007 grad_norm: 8.1569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6992 loss: 1.6992 2022/07/28 17:22:52 - mmengine - INFO - Epoch(train) [113][3560/3757] lr: 3.1270e-03 eta: 1 day, 4:13:14 time: 0.5481 data_time: 0.0982 memory: 17007 grad_norm: 8.5062 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8001 loss: 1.8001 2022/07/28 17:23:06 - mmengine - INFO - Epoch(train) [113][3580/3757] lr: 3.1270e-03 eta: 1 day, 4:13:09 time: 0.6700 data_time: 0.0193 memory: 17007 grad_norm: 8.1821 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6866 loss: 1.6866 2022/07/28 17:23:16 - mmengine - INFO - Epoch(train) [113][3600/3757] lr: 3.1270e-03 eta: 1 day, 4:13:02 time: 0.4978 data_time: 0.0283 memory: 17007 grad_norm: 8.2936 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7821 loss: 1.7821 2022/07/28 17:23:28 - mmengine - INFO - Epoch(train) [113][3620/3757] lr: 3.1270e-03 eta: 1 day, 4:12:57 time: 0.6381 data_time: 0.0162 memory: 17007 grad_norm: 8.3175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6688 loss: 1.6688 2022/07/28 17:23:40 - mmengine - INFO - Epoch(train) [113][3640/3757] lr: 3.1270e-03 eta: 1 day, 4:12:51 time: 0.5811 data_time: 0.0181 memory: 17007 grad_norm: 8.6916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9459 loss: 1.9459 2022/07/28 17:23:52 - mmengine - INFO - Epoch(train) [113][3660/3757] lr: 3.1270e-03 eta: 1 day, 4:12:45 time: 0.5884 data_time: 0.0180 memory: 17007 grad_norm: 8.9321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8610 loss: 1.8610 2022/07/28 17:24:06 - mmengine - INFO - Epoch(train) [113][3680/3757] lr: 3.1270e-03 eta: 1 day, 4:12:41 time: 0.7144 data_time: 0.1735 memory: 17007 grad_norm: 8.5756 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7087 loss: 1.7087 2022/07/28 17:24:19 - mmengine - INFO - Epoch(train) [113][3700/3757] lr: 3.1270e-03 eta: 1 day, 4:12:35 time: 0.6341 data_time: 0.0159 memory: 17007 grad_norm: 8.7118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7954 loss: 1.7954 2022/07/28 17:24:31 - mmengine - INFO - Epoch(train) [113][3720/3757] lr: 3.1270e-03 eta: 1 day, 4:12:30 time: 0.5962 data_time: 0.0261 memory: 17007 grad_norm: 8.3143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8628 loss: 1.8628 2022/07/28 17:24:46 - mmengine - INFO - Epoch(train) [113][3740/3757] lr: 3.1270e-03 eta: 1 day, 4:12:26 time: 0.7774 data_time: 0.0189 memory: 17007 grad_norm: 8.3670 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9400 loss: 1.9400 2022/07/28 17:24:55 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 17:24:55 - mmengine - INFO - Epoch(train) [113][3757/3757] lr: 3.1270e-03 eta: 1 day, 4:12:26 time: 0.5006 data_time: 0.0221 memory: 17007 grad_norm: 8.4265 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.5981 loss: 1.5981 2022/07/28 17:24:55 - mmengine - INFO - Saving checkpoint at 113 epochs 2022/07/28 17:25:11 - mmengine - INFO - Epoch(train) [114][20/3757] lr: 3.0463e-03 eta: 1 day, 4:12:10 time: 0.6372 data_time: 0.0922 memory: 17007 grad_norm: 8.4232 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7662 loss: 1.7662 2022/07/28 17:25:23 - mmengine - INFO - Epoch(train) [114][40/3757] lr: 3.0463e-03 eta: 1 day, 4:12:04 time: 0.5890 data_time: 0.0166 memory: 17007 grad_norm: 8.5829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9273 loss: 1.9273 2022/07/28 17:25:34 - mmengine - INFO - Epoch(train) [114][60/3757] lr: 3.0463e-03 eta: 1 day, 4:11:57 time: 0.5158 data_time: 0.0188 memory: 17007 grad_norm: 8.7222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6168 loss: 1.6168 2022/07/28 17:25:46 - mmengine - INFO - Epoch(train) [114][80/3757] lr: 3.0463e-03 eta: 1 day, 4:11:52 time: 0.6256 data_time: 0.0183 memory: 17007 grad_norm: 8.5629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7232 loss: 1.7232 2022/07/28 17:25:58 - mmengine - INFO - Epoch(train) [114][100/3757] lr: 3.0463e-03 eta: 1 day, 4:11:46 time: 0.5893 data_time: 0.2064 memory: 17007 grad_norm: 8.3927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5313 loss: 1.5313 2022/07/28 17:26:09 - mmengine - INFO - Epoch(train) [114][120/3757] lr: 3.0463e-03 eta: 1 day, 4:11:40 time: 0.5685 data_time: 0.0154 memory: 17007 grad_norm: 8.6188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5729 loss: 1.5729 2022/07/28 17:26:23 - mmengine - INFO - Epoch(train) [114][140/3757] lr: 3.0463e-03 eta: 1 day, 4:11:35 time: 0.6888 data_time: 0.2338 memory: 17007 grad_norm: 8.2290 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7815 loss: 1.7815 2022/07/28 17:26:38 - mmengine - INFO - Epoch(train) [114][160/3757] lr: 3.0463e-03 eta: 1 day, 4:11:31 time: 0.7526 data_time: 0.3467 memory: 17007 grad_norm: 8.4205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7060 loss: 1.7060 2022/07/28 17:26:52 - mmengine - INFO - Epoch(train) [114][180/3757] lr: 3.0463e-03 eta: 1 day, 4:11:27 time: 0.7151 data_time: 0.0189 memory: 17007 grad_norm: 8.0010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6697 loss: 1.6697 2022/07/28 17:27:06 - mmengine - INFO - Epoch(train) [114][200/3757] lr: 3.0463e-03 eta: 1 day, 4:11:22 time: 0.6570 data_time: 0.0203 memory: 17007 grad_norm: 8.4586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6384 loss: 1.6384 2022/07/28 17:27:25 - mmengine - INFO - Epoch(train) [114][220/3757] lr: 3.0463e-03 eta: 1 day, 4:11:20 time: 0.9524 data_time: 0.0193 memory: 17007 grad_norm: 8.3787 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7685 loss: 1.7685 2022/07/28 17:27:42 - mmengine - INFO - Epoch(train) [114][240/3757] lr: 3.0463e-03 eta: 1 day, 4:11:18 time: 0.8849 data_time: 0.0193 memory: 17007 grad_norm: 8.3122 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5838 loss: 1.5838 2022/07/28 17:27:54 - mmengine - INFO - Epoch(train) [114][260/3757] lr: 3.0463e-03 eta: 1 day, 4:11:12 time: 0.5965 data_time: 0.0174 memory: 17007 grad_norm: 8.1778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5791 loss: 1.5791 2022/07/28 17:28:05 - mmengine - INFO - Epoch(train) [114][280/3757] lr: 3.0463e-03 eta: 1 day, 4:11:05 time: 0.5288 data_time: 0.1384 memory: 17007 grad_norm: 8.5864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9256 loss: 1.9256 2022/07/28 17:28:13 - mmengine - INFO - Epoch(train) [114][300/3757] lr: 3.0463e-03 eta: 1 day, 4:10:57 time: 0.3956 data_time: 0.0165 memory: 17007 grad_norm: 8.6372 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8626 loss: 1.8626 2022/07/28 17:28:21 - mmengine - INFO - Epoch(train) [114][320/3757] lr: 3.0463e-03 eta: 1 day, 4:10:49 time: 0.3957 data_time: 0.0151 memory: 17007 grad_norm: 8.5936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5902 loss: 1.5902 2022/07/28 17:28:29 - mmengine - INFO - Epoch(train) [114][340/3757] lr: 3.0463e-03 eta: 1 day, 4:10:41 time: 0.3993 data_time: 0.0175 memory: 17007 grad_norm: 8.8393 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5704 loss: 1.5704 2022/07/28 17:28:37 - mmengine - INFO - Epoch(train) [114][360/3757] lr: 3.0463e-03 eta: 1 day, 4:10:33 time: 0.4106 data_time: 0.0160 memory: 17007 grad_norm: 8.6228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7838 loss: 1.7838 2022/07/28 17:28:45 - mmengine - INFO - Epoch(train) [114][380/3757] lr: 3.0463e-03 eta: 1 day, 4:10:25 time: 0.3979 data_time: 0.0165 memory: 17007 grad_norm: 8.6057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9136 loss: 1.9136 2022/07/28 17:28:53 - mmengine - INFO - Epoch(train) [114][400/3757] lr: 3.0463e-03 eta: 1 day, 4:10:17 time: 0.3985 data_time: 0.0137 memory: 17007 grad_norm: 8.5587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6664 loss: 1.6664 2022/07/28 17:29:01 - mmengine - INFO - Epoch(train) [114][420/3757] lr: 3.0463e-03 eta: 1 day, 4:10:09 time: 0.4052 data_time: 0.0188 memory: 17007 grad_norm: 8.4324 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5397 loss: 1.5397 2022/07/28 17:29:09 - mmengine - INFO - Epoch(train) [114][440/3757] lr: 3.0463e-03 eta: 1 day, 4:10:00 time: 0.3953 data_time: 0.0134 memory: 17007 grad_norm: 8.6056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6059 loss: 1.6059 2022/07/28 17:29:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 17:29:17 - mmengine - INFO - Epoch(train) [114][460/3757] lr: 3.0463e-03 eta: 1 day, 4:09:52 time: 0.4006 data_time: 0.0185 memory: 17007 grad_norm: 8.4863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7936 loss: 1.7936 2022/07/28 17:29:25 - mmengine - INFO - Epoch(train) [114][480/3757] lr: 3.0463e-03 eta: 1 day, 4:09:44 time: 0.3993 data_time: 0.0144 memory: 17007 grad_norm: 8.8103 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0379 loss: 2.0379 2022/07/28 17:29:33 - mmengine - INFO - Epoch(train) [114][500/3757] lr: 3.0463e-03 eta: 1 day, 4:09:36 time: 0.3964 data_time: 0.0162 memory: 17007 grad_norm: 8.7134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7405 loss: 1.7405 2022/07/28 17:29:42 - mmengine - INFO - Epoch(train) [114][520/3757] lr: 3.0463e-03 eta: 1 day, 4:09:28 time: 0.4318 data_time: 0.0405 memory: 17007 grad_norm: 8.2242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8790 loss: 1.8790 2022/07/28 17:29:52 - mmengine - INFO - Epoch(train) [114][540/3757] lr: 3.0463e-03 eta: 1 day, 4:09:22 time: 0.5226 data_time: 0.0181 memory: 17007 grad_norm: 8.3831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5260 loss: 1.5260 2022/07/28 17:30:06 - mmengine - INFO - Epoch(train) [114][560/3757] lr: 3.0463e-03 eta: 1 day, 4:09:17 time: 0.6854 data_time: 0.0170 memory: 17007 grad_norm: 8.2710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4842 loss: 1.4842 2022/07/28 17:30:16 - mmengine - INFO - Epoch(train) [114][580/3757] lr: 3.0463e-03 eta: 1 day, 4:09:10 time: 0.5015 data_time: 0.0172 memory: 17007 grad_norm: 8.8697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6765 loss: 1.6765 2022/07/28 17:30:26 - mmengine - INFO - Epoch(train) [114][600/3757] lr: 3.0463e-03 eta: 1 day, 4:09:03 time: 0.5301 data_time: 0.0483 memory: 17007 grad_norm: 8.9295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5092 loss: 1.5092 2022/07/28 17:30:38 - mmengine - INFO - Epoch(train) [114][620/3757] lr: 3.0463e-03 eta: 1 day, 4:08:57 time: 0.5558 data_time: 0.0304 memory: 17007 grad_norm: 8.5749 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7781 loss: 1.7781 2022/07/28 17:30:50 - mmengine - INFO - Epoch(train) [114][640/3757] lr: 3.0463e-03 eta: 1 day, 4:08:52 time: 0.6240 data_time: 0.1067 memory: 17007 grad_norm: 8.7049 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7168 loss: 1.7168 2022/07/28 17:31:02 - mmengine - INFO - Epoch(train) [114][660/3757] lr: 3.0463e-03 eta: 1 day, 4:08:46 time: 0.5933 data_time: 0.1844 memory: 17007 grad_norm: 8.5560 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8658 loss: 1.8658 2022/07/28 17:31:14 - mmengine - INFO - Epoch(train) [114][680/3757] lr: 3.0463e-03 eta: 1 day, 4:08:40 time: 0.5864 data_time: 0.1128 memory: 17007 grad_norm: 8.1747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6207 loss: 1.6207 2022/07/28 17:31:23 - mmengine - INFO - Epoch(train) [114][700/3757] lr: 3.0463e-03 eta: 1 day, 4:08:32 time: 0.4625 data_time: 0.0195 memory: 17007 grad_norm: 8.3554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5597 loss: 1.5597 2022/07/28 17:31:36 - mmengine - INFO - Epoch(train) [114][720/3757] lr: 3.0463e-03 eta: 1 day, 4:08:27 time: 0.6456 data_time: 0.0141 memory: 17007 grad_norm: 8.6848 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6062 loss: 1.6062 2022/07/28 17:31:53 - mmengine - INFO - Epoch(train) [114][740/3757] lr: 3.0463e-03 eta: 1 day, 4:08:24 time: 0.8360 data_time: 0.2414 memory: 17007 grad_norm: 8.4878 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6765 loss: 1.6765 2022/07/28 17:32:06 - mmengine - INFO - Epoch(train) [114][760/3757] lr: 3.0463e-03 eta: 1 day, 4:08:19 time: 0.6463 data_time: 0.0202 memory: 17007 grad_norm: 8.3796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2732 loss: 1.2732 2022/07/28 17:32:19 - mmengine - INFO - Epoch(train) [114][780/3757] lr: 3.0463e-03 eta: 1 day, 4:08:14 time: 0.6501 data_time: 0.0171 memory: 17007 grad_norm: 8.4646 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4799 loss: 1.4799 2022/07/28 17:32:34 - mmengine - INFO - Epoch(train) [114][800/3757] lr: 3.0463e-03 eta: 1 day, 4:08:10 time: 0.7679 data_time: 0.0174 memory: 17007 grad_norm: 8.4717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8857 loss: 1.8857 2022/07/28 17:32:45 - mmengine - INFO - Epoch(train) [114][820/3757] lr: 3.0463e-03 eta: 1 day, 4:08:04 time: 0.5331 data_time: 0.0181 memory: 17007 grad_norm: 9.0172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9909 loss: 1.9909 2022/07/28 17:32:57 - mmengine - INFO - Epoch(train) [114][840/3757] lr: 3.0463e-03 eta: 1 day, 4:07:58 time: 0.5975 data_time: 0.0885 memory: 17007 grad_norm: 9.0346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8171 loss: 1.8171 2022/07/28 17:33:17 - mmengine - INFO - Epoch(train) [114][860/3757] lr: 3.0463e-03 eta: 1 day, 4:07:57 time: 1.0119 data_time: 0.2925 memory: 17007 grad_norm: 8.7013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7064 loss: 1.7064 2022/07/28 17:33:31 - mmengine - INFO - Epoch(train) [114][880/3757] lr: 3.0463e-03 eta: 1 day, 4:07:52 time: 0.6964 data_time: 0.0227 memory: 17007 grad_norm: 8.8458 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7534 loss: 1.7534 2022/07/28 17:33:43 - mmengine - INFO - Epoch(train) [114][900/3757] lr: 3.0463e-03 eta: 1 day, 4:07:46 time: 0.5901 data_time: 0.0499 memory: 17007 grad_norm: 8.4489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6687 loss: 1.6687 2022/07/28 17:33:55 - mmengine - INFO - Epoch(train) [114][920/3757] lr: 3.0463e-03 eta: 1 day, 4:07:41 time: 0.6088 data_time: 0.0191 memory: 17007 grad_norm: 8.4510 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6187 loss: 1.6187 2022/07/28 17:34:07 - mmengine - INFO - Epoch(train) [114][940/3757] lr: 3.0463e-03 eta: 1 day, 4:07:35 time: 0.5919 data_time: 0.0172 memory: 17007 grad_norm: 8.4462 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7113 loss: 1.7113 2022/07/28 17:34:20 - mmengine - INFO - Epoch(train) [114][960/3757] lr: 3.0463e-03 eta: 1 day, 4:07:30 time: 0.6594 data_time: 0.0162 memory: 17007 grad_norm: 8.3136 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6225 loss: 1.6225 2022/07/28 17:34:32 - mmengine - INFO - Epoch(train) [114][980/3757] lr: 3.0463e-03 eta: 1 day, 4:07:24 time: 0.5865 data_time: 0.0169 memory: 17007 grad_norm: 8.8715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7741 loss: 1.7741 2022/07/28 17:34:46 - mmengine - INFO - Epoch(train) [114][1000/3757] lr: 3.0463e-03 eta: 1 day, 4:07:19 time: 0.7014 data_time: 0.0165 memory: 17007 grad_norm: 8.4054 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6788 loss: 1.6788 2022/07/28 17:34:56 - mmengine - INFO - Epoch(train) [114][1020/3757] lr: 3.0463e-03 eta: 1 day, 4:07:12 time: 0.4968 data_time: 0.0236 memory: 17007 grad_norm: 8.6290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5065 loss: 1.5065 2022/07/28 17:35:09 - mmengine - INFO - Epoch(train) [114][1040/3757] lr: 3.0463e-03 eta: 1 day, 4:07:07 time: 0.6500 data_time: 0.2412 memory: 17007 grad_norm: 8.4031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6566 loss: 1.6566 2022/07/28 17:35:20 - mmengine - INFO - Epoch(train) [114][1060/3757] lr: 3.0463e-03 eta: 1 day, 4:07:01 time: 0.5953 data_time: 0.0176 memory: 17007 grad_norm: 8.8368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4761 loss: 1.4761 2022/07/28 17:35:32 - mmengine - INFO - Epoch(train) [114][1080/3757] lr: 3.0463e-03 eta: 1 day, 4:06:55 time: 0.5527 data_time: 0.0162 memory: 17007 grad_norm: 8.7911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0181 loss: 2.0181 2022/07/28 17:35:48 - mmengine - INFO - Epoch(train) [114][1100/3757] lr: 3.0463e-03 eta: 1 day, 4:06:52 time: 0.8360 data_time: 0.0982 memory: 17007 grad_norm: 8.6366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0427 loss: 2.0427 2022/07/28 17:35:58 - mmengine - INFO - Epoch(train) [114][1120/3757] lr: 3.0463e-03 eta: 1 day, 4:06:45 time: 0.4986 data_time: 0.0977 memory: 17007 grad_norm: 8.8773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6766 loss: 1.6766 2022/07/28 17:36:12 - mmengine - INFO - Epoch(train) [114][1140/3757] lr: 3.0463e-03 eta: 1 day, 4:06:40 time: 0.6624 data_time: 0.0133 memory: 17007 grad_norm: 8.6550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7611 loss: 1.7611 2022/07/28 17:36:24 - mmengine - INFO - Epoch(train) [114][1160/3757] lr: 3.0463e-03 eta: 1 day, 4:06:34 time: 0.5980 data_time: 0.0165 memory: 17007 grad_norm: 8.7887 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4830 loss: 1.4830 2022/07/28 17:36:36 - mmengine - INFO - Epoch(train) [114][1180/3757] lr: 3.0463e-03 eta: 1 day, 4:06:29 time: 0.5994 data_time: 0.0983 memory: 17007 grad_norm: 8.3594 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7744 loss: 1.7744 2022/07/28 17:36:47 - mmengine - INFO - Epoch(train) [114][1200/3757] lr: 3.0463e-03 eta: 1 day, 4:06:23 time: 0.5847 data_time: 0.0177 memory: 17007 grad_norm: 8.3503 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3301 loss: 1.3301 2022/07/28 17:37:00 - mmengine - INFO - Epoch(train) [114][1220/3757] lr: 3.0463e-03 eta: 1 day, 4:06:17 time: 0.6572 data_time: 0.0179 memory: 17007 grad_norm: 8.3686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4882 loss: 1.4882 2022/07/28 17:37:12 - mmengine - INFO - Epoch(train) [114][1240/3757] lr: 3.0463e-03 eta: 1 day, 4:06:12 time: 0.5937 data_time: 0.0168 memory: 17007 grad_norm: 8.5756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6888 loss: 1.6888 2022/07/28 17:37:24 - mmengine - INFO - Epoch(train) [114][1260/3757] lr: 3.0463e-03 eta: 1 day, 4:06:06 time: 0.5810 data_time: 0.0157 memory: 17007 grad_norm: 8.7194 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8560 loss: 1.8560 2022/07/28 17:37:38 - mmengine - INFO - Epoch(train) [114][1280/3757] lr: 3.0463e-03 eta: 1 day, 4:06:01 time: 0.7060 data_time: 0.1488 memory: 17007 grad_norm: 8.1607 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7502 loss: 1.7502 2022/07/28 17:37:49 - mmengine - INFO - Epoch(train) [114][1300/3757] lr: 3.0463e-03 eta: 1 day, 4:05:55 time: 0.5320 data_time: 0.0177 memory: 17007 grad_norm: 8.6052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5109 loss: 1.5109 2022/07/28 17:37:59 - mmengine - INFO - Epoch(train) [114][1320/3757] lr: 3.0463e-03 eta: 1 day, 4:05:47 time: 0.4922 data_time: 0.0175 memory: 17007 grad_norm: 8.6788 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9151 loss: 1.9151 2022/07/28 17:38:12 - mmengine - INFO - Epoch(train) [114][1340/3757] lr: 3.0463e-03 eta: 1 day, 4:05:42 time: 0.6638 data_time: 0.0153 memory: 17007 grad_norm: 8.3568 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7028 loss: 1.7028 2022/07/28 17:38:27 - mmengine - INFO - Epoch(train) [114][1360/3757] lr: 3.0463e-03 eta: 1 day, 4:05:39 time: 0.7563 data_time: 0.0156 memory: 17007 grad_norm: 8.6088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8692 loss: 1.8692 2022/07/28 17:38:39 - mmengine - INFO - Epoch(train) [114][1380/3757] lr: 3.0463e-03 eta: 1 day, 4:05:33 time: 0.6144 data_time: 0.0179 memory: 17007 grad_norm: 8.4128 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8395 loss: 1.8395 2022/07/28 17:38:50 - mmengine - INFO - Epoch(train) [114][1400/3757] lr: 3.0463e-03 eta: 1 day, 4:05:26 time: 0.5284 data_time: 0.0300 memory: 17007 grad_norm: 8.9305 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9516 loss: 1.9516 2022/07/28 17:39:00 - mmengine - INFO - Epoch(train) [114][1420/3757] lr: 3.0463e-03 eta: 1 day, 4:05:19 time: 0.5102 data_time: 0.1152 memory: 17007 grad_norm: 8.6953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8222 loss: 1.8222 2022/07/28 17:39:08 - mmengine - INFO - Epoch(train) [114][1440/3757] lr: 3.0463e-03 eta: 1 day, 4:05:12 time: 0.4140 data_time: 0.0145 memory: 17007 grad_norm: 8.5267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7468 loss: 1.7468 2022/07/28 17:39:16 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 17:39:16 - mmengine - INFO - Epoch(train) [114][1460/3757] lr: 3.0463e-03 eta: 1 day, 4:05:03 time: 0.3931 data_time: 0.0125 memory: 17007 grad_norm: 8.6529 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4650 loss: 1.4650 2022/07/28 17:39:24 - mmengine - INFO - Epoch(train) [114][1480/3757] lr: 3.0463e-03 eta: 1 day, 4:04:55 time: 0.4085 data_time: 0.0179 memory: 17007 grad_norm: 7.9382 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5405 loss: 1.5405 2022/07/28 17:39:32 - mmengine - INFO - Epoch(train) [114][1500/3757] lr: 3.0463e-03 eta: 1 day, 4:04:47 time: 0.3951 data_time: 0.0147 memory: 17007 grad_norm: 8.3345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8075 loss: 1.8075 2022/07/28 17:39:40 - mmengine - INFO - Epoch(train) [114][1520/3757] lr: 3.0463e-03 eta: 1 day, 4:04:39 time: 0.3956 data_time: 0.0157 memory: 17007 grad_norm: 8.3530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6865 loss: 1.6865 2022/07/28 17:39:48 - mmengine - INFO - Epoch(train) [114][1540/3757] lr: 3.0463e-03 eta: 1 day, 4:04:31 time: 0.3979 data_time: 0.0137 memory: 17007 grad_norm: 8.3897 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5142 loss: 1.5142 2022/07/28 17:39:56 - mmengine - INFO - Epoch(train) [114][1560/3757] lr: 3.0463e-03 eta: 1 day, 4:04:23 time: 0.3949 data_time: 0.0159 memory: 17007 grad_norm: 9.0645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9034 loss: 1.9034 2022/07/28 17:40:04 - mmengine - INFO - Epoch(train) [114][1580/3757] lr: 3.0463e-03 eta: 1 day, 4:04:14 time: 0.3991 data_time: 0.0143 memory: 17007 grad_norm: 8.2538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6014 loss: 1.6014 2022/07/28 17:40:12 - mmengine - INFO - Epoch(train) [114][1600/3757] lr: 3.0463e-03 eta: 1 day, 4:04:06 time: 0.3969 data_time: 0.0173 memory: 17007 grad_norm: 8.4886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7438 loss: 1.7438 2022/07/28 17:40:20 - mmengine - INFO - Epoch(train) [114][1620/3757] lr: 3.0463e-03 eta: 1 day, 4:03:58 time: 0.3993 data_time: 0.0164 memory: 17007 grad_norm: 8.4460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5749 loss: 1.5749 2022/07/28 17:40:28 - mmengine - INFO - Epoch(train) [114][1640/3757] lr: 3.0463e-03 eta: 1 day, 4:03:50 time: 0.3947 data_time: 0.0161 memory: 17007 grad_norm: 8.9452 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6928 loss: 1.6928 2022/07/28 17:40:40 - mmengine - INFO - Epoch(train) [114][1660/3757] lr: 3.0463e-03 eta: 1 day, 4:03:44 time: 0.5848 data_time: 0.0135 memory: 17007 grad_norm: 8.7626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5084 loss: 1.5084 2022/07/28 17:40:49 - mmengine - INFO - Epoch(train) [114][1680/3757] lr: 3.0463e-03 eta: 1 day, 4:03:37 time: 0.4787 data_time: 0.0159 memory: 17007 grad_norm: 8.7322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5677 loss: 1.5677 2022/07/28 17:41:00 - mmengine - INFO - Epoch(train) [114][1700/3757] lr: 3.0463e-03 eta: 1 day, 4:03:30 time: 0.5106 data_time: 0.0137 memory: 17007 grad_norm: 8.5365 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9794 loss: 1.9794 2022/07/28 17:41:17 - mmengine - INFO - Epoch(train) [114][1720/3757] lr: 3.0463e-03 eta: 1 day, 4:03:28 time: 0.8863 data_time: 0.4282 memory: 17007 grad_norm: 8.3639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9697 loss: 1.9697 2022/07/28 17:41:27 - mmengine - INFO - Epoch(train) [114][1740/3757] lr: 3.0463e-03 eta: 1 day, 4:03:20 time: 0.4822 data_time: 0.0156 memory: 17007 grad_norm: 8.5996 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5814 loss: 1.5814 2022/07/28 17:41:50 - mmengine - INFO - Epoch(train) [114][1760/3757] lr: 3.0463e-03 eta: 1 day, 4:03:21 time: 1.1609 data_time: 0.0147 memory: 17007 grad_norm: 8.4408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2559 loss: 1.2559 2022/07/28 17:42:04 - mmengine - INFO - Epoch(train) [114][1780/3757] lr: 3.0463e-03 eta: 1 day, 4:03:16 time: 0.6809 data_time: 0.0179 memory: 17007 grad_norm: 8.5383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7380 loss: 1.7380 2022/07/28 17:42:16 - mmengine - INFO - Epoch(train) [114][1800/3757] lr: 3.0463e-03 eta: 1 day, 4:03:10 time: 0.5894 data_time: 0.0391 memory: 17007 grad_norm: 8.5506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7739 loss: 1.7739 2022/07/28 17:42:29 - mmengine - INFO - Epoch(train) [114][1820/3757] lr: 3.0463e-03 eta: 1 day, 4:03:06 time: 0.6749 data_time: 0.0201 memory: 17007 grad_norm: 8.5640 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7326 loss: 1.7326 2022/07/28 17:42:41 - mmengine - INFO - Epoch(train) [114][1840/3757] lr: 3.0463e-03 eta: 1 day, 4:03:00 time: 0.5820 data_time: 0.0171 memory: 17007 grad_norm: 8.9700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0729 loss: 2.0729 2022/07/28 17:42:52 - mmengine - INFO - Epoch(train) [114][1860/3757] lr: 3.0463e-03 eta: 1 day, 4:02:54 time: 0.5851 data_time: 0.0155 memory: 17007 grad_norm: 8.5484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6633 loss: 1.6633 2022/07/28 17:43:06 - mmengine - INFO - Epoch(train) [114][1880/3757] lr: 3.0463e-03 eta: 1 day, 4:02:48 time: 0.6548 data_time: 0.0173 memory: 17007 grad_norm: 8.2265 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6455 loss: 1.6455 2022/07/28 17:43:18 - mmengine - INFO - Epoch(train) [114][1900/3757] lr: 3.0463e-03 eta: 1 day, 4:02:43 time: 0.6007 data_time: 0.0181 memory: 17007 grad_norm: 8.7921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6524 loss: 1.6524 2022/07/28 17:43:30 - mmengine - INFO - Epoch(train) [114][1920/3757] lr: 3.0463e-03 eta: 1 day, 4:02:37 time: 0.6134 data_time: 0.0155 memory: 17007 grad_norm: 8.7894 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6093 loss: 1.6093 2022/07/28 17:43:42 - mmengine - INFO - Epoch(train) [114][1940/3757] lr: 3.0463e-03 eta: 1 day, 4:02:31 time: 0.6092 data_time: 0.0973 memory: 17007 grad_norm: 8.2129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8016 loss: 1.8016 2022/07/28 17:43:54 - mmengine - INFO - Epoch(train) [114][1960/3757] lr: 3.0463e-03 eta: 1 day, 4:02:25 time: 0.5908 data_time: 0.0758 memory: 17007 grad_norm: 8.5295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6733 loss: 1.6733 2022/07/28 17:44:10 - mmengine - INFO - Epoch(train) [114][1980/3757] lr: 3.0463e-03 eta: 1 day, 4:02:22 time: 0.7965 data_time: 0.1059 memory: 17007 grad_norm: 8.4060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5874 loss: 1.5874 2022/07/28 17:44:22 - mmengine - INFO - Epoch(train) [114][2000/3757] lr: 3.0463e-03 eta: 1 day, 4:02:16 time: 0.6228 data_time: 0.2404 memory: 17007 grad_norm: 8.3548 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8252 loss: 1.8252 2022/07/28 17:44:34 - mmengine - INFO - Epoch(train) [114][2020/3757] lr: 3.0463e-03 eta: 1 day, 4:02:11 time: 0.6067 data_time: 0.0170 memory: 17007 grad_norm: 8.4265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6400 loss: 1.6400 2022/07/28 17:44:50 - mmengine - INFO - Epoch(train) [114][2040/3757] lr: 3.0463e-03 eta: 1 day, 4:02:07 time: 0.7820 data_time: 0.0185 memory: 17007 grad_norm: 8.6675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5920 loss: 1.5920 2022/07/28 17:45:00 - mmengine - INFO - Epoch(train) [114][2060/3757] lr: 3.0463e-03 eta: 1 day, 4:02:00 time: 0.4882 data_time: 0.0181 memory: 17007 grad_norm: 8.4969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6961 loss: 1.6961 2022/07/28 17:45:12 - mmengine - INFO - Epoch(train) [114][2080/3757] lr: 3.0463e-03 eta: 1 day, 4:01:54 time: 0.6153 data_time: 0.0132 memory: 17007 grad_norm: 8.7513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6534 loss: 1.6534 2022/07/28 17:45:23 - mmengine - INFO - Epoch(train) [114][2100/3757] lr: 3.0463e-03 eta: 1 day, 4:01:48 time: 0.5470 data_time: 0.0382 memory: 17007 grad_norm: 8.6468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7926 loss: 1.7926 2022/07/28 17:45:35 - mmengine - INFO - Epoch(train) [114][2120/3757] lr: 3.0463e-03 eta: 1 day, 4:01:42 time: 0.5905 data_time: 0.0523 memory: 17007 grad_norm: 8.7255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6414 loss: 1.6414 2022/07/28 17:45:45 - mmengine - INFO - Epoch(train) [114][2140/3757] lr: 3.0463e-03 eta: 1 day, 4:01:35 time: 0.5044 data_time: 0.0164 memory: 17007 grad_norm: 9.1503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0003 loss: 2.0003 2022/07/28 17:45:58 - mmengine - INFO - Epoch(train) [114][2160/3757] lr: 3.0463e-03 eta: 1 day, 4:01:30 time: 0.6504 data_time: 0.0165 memory: 17007 grad_norm: 8.7626 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4495 loss: 1.4495 2022/07/28 17:46:08 - mmengine - INFO - Epoch(train) [114][2180/3757] lr: 3.0463e-03 eta: 1 day, 4:01:23 time: 0.5026 data_time: 0.0383 memory: 17007 grad_norm: 8.9558 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6195 loss: 1.6195 2022/07/28 17:46:18 - mmengine - INFO - Epoch(train) [114][2200/3757] lr: 3.0463e-03 eta: 1 day, 4:01:16 time: 0.5126 data_time: 0.0376 memory: 17007 grad_norm: 8.9384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7441 loss: 1.7441 2022/07/28 17:46:32 - mmengine - INFO - Epoch(train) [114][2220/3757] lr: 3.0463e-03 eta: 1 day, 4:01:11 time: 0.6971 data_time: 0.2463 memory: 17007 grad_norm: 8.5366 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9900 loss: 1.9900 2022/07/28 17:46:45 - mmengine - INFO - Epoch(train) [114][2240/3757] lr: 3.0463e-03 eta: 1 day, 4:01:06 time: 0.6404 data_time: 0.2511 memory: 17007 grad_norm: 8.5299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7698 loss: 1.7698 2022/07/28 17:46:58 - mmengine - INFO - Epoch(train) [114][2260/3757] lr: 3.0463e-03 eta: 1 day, 4:01:01 time: 0.6476 data_time: 0.0784 memory: 17007 grad_norm: 8.8622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6862 loss: 1.6862 2022/07/28 17:47:16 - mmengine - INFO - Epoch(train) [114][2280/3757] lr: 3.0463e-03 eta: 1 day, 4:00:58 time: 0.8684 data_time: 0.0201 memory: 17007 grad_norm: 8.4426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9067 loss: 1.9067 2022/07/28 17:47:32 - mmengine - INFO - Epoch(train) [114][2300/3757] lr: 3.0463e-03 eta: 1 day, 4:00:55 time: 0.8366 data_time: 0.0216 memory: 17007 grad_norm: 8.7091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6889 loss: 1.6889 2022/07/28 17:47:43 - mmengine - INFO - Epoch(train) [114][2320/3757] lr: 3.0463e-03 eta: 1 day, 4:00:48 time: 0.5223 data_time: 0.0181 memory: 17007 grad_norm: 8.7246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6538 loss: 1.6538 2022/07/28 17:47:53 - mmengine - INFO - Epoch(train) [114][2340/3757] lr: 3.0463e-03 eta: 1 day, 4:00:42 time: 0.5307 data_time: 0.0192 memory: 17007 grad_norm: 8.8310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7465 loss: 1.7465 2022/07/28 17:48:03 - mmengine - INFO - Epoch(train) [114][2360/3757] lr: 3.0463e-03 eta: 1 day, 4:00:35 time: 0.4943 data_time: 0.0571 memory: 17007 grad_norm: 8.4995 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5609 loss: 1.5609 2022/07/28 17:48:20 - mmengine - INFO - Epoch(train) [114][2380/3757] lr: 3.0463e-03 eta: 1 day, 4:00:32 time: 0.8195 data_time: 0.0498 memory: 17007 grad_norm: 8.7120 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6755 loss: 1.6755 2022/07/28 17:48:28 - mmengine - INFO - Epoch(train) [114][2400/3757] lr: 3.0463e-03 eta: 1 day, 4:00:23 time: 0.4002 data_time: 0.0167 memory: 17007 grad_norm: 8.5658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4846 loss: 1.4846 2022/07/28 17:48:36 - mmengine - INFO - Epoch(train) [114][2420/3757] lr: 3.0463e-03 eta: 1 day, 4:00:15 time: 0.4131 data_time: 0.0136 memory: 17007 grad_norm: 8.3444 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/07/28 17:48:44 - mmengine - INFO - Epoch(train) [114][2440/3757] lr: 3.0463e-03 eta: 1 day, 4:00:07 time: 0.3957 data_time: 0.0165 memory: 17007 grad_norm: 8.7974 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9555 loss: 1.9555 2022/07/28 17:48:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 17:48:52 - mmengine - INFO - Epoch(train) [114][2460/3757] lr: 3.0463e-03 eta: 1 day, 3:59:59 time: 0.3932 data_time: 0.0130 memory: 17007 grad_norm: 8.6951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9518 loss: 1.9518 2022/07/28 17:49:00 - mmengine - INFO - Epoch(train) [114][2480/3757] lr: 3.0463e-03 eta: 1 day, 3:59:51 time: 0.4018 data_time: 0.0174 memory: 17007 grad_norm: 8.7845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8081 loss: 1.8081 2022/07/28 17:49:08 - mmengine - INFO - Epoch(train) [114][2500/3757] lr: 3.0463e-03 eta: 1 day, 3:59:43 time: 0.3954 data_time: 0.0144 memory: 17007 grad_norm: 8.3063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5663 loss: 1.5663 2022/07/28 17:49:16 - mmengine - INFO - Epoch(train) [114][2520/3757] lr: 3.0463e-03 eta: 1 day, 3:59:35 time: 0.4015 data_time: 0.0173 memory: 17007 grad_norm: 8.8044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9614 loss: 1.9614 2022/07/28 17:49:24 - mmengine - INFO - Epoch(train) [114][2540/3757] lr: 3.0463e-03 eta: 1 day, 3:59:26 time: 0.3950 data_time: 0.0147 memory: 17007 grad_norm: 8.7913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6690 loss: 1.6690 2022/07/28 17:49:32 - mmengine - INFO - Epoch(train) [114][2560/3757] lr: 3.0463e-03 eta: 1 day, 3:59:18 time: 0.4004 data_time: 0.0153 memory: 17007 grad_norm: 8.6837 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8117 loss: 1.8117 2022/07/28 17:49:40 - mmengine - INFO - Epoch(train) [114][2580/3757] lr: 3.0463e-03 eta: 1 day, 3:59:10 time: 0.3995 data_time: 0.0147 memory: 17007 grad_norm: 8.7069 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6426 loss: 1.6426 2022/07/28 17:49:48 - mmengine - INFO - Epoch(train) [114][2600/3757] lr: 3.0463e-03 eta: 1 day, 3:59:02 time: 0.3968 data_time: 0.0169 memory: 17007 grad_norm: 8.2872 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9526 loss: 1.9526 2022/07/28 17:49:56 - mmengine - INFO - Epoch(train) [114][2620/3757] lr: 3.0463e-03 eta: 1 day, 3:58:54 time: 0.4075 data_time: 0.0155 memory: 17007 grad_norm: 8.3267 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8163 loss: 1.8163 2022/07/28 17:50:06 - mmengine - INFO - Epoch(train) [114][2640/3757] lr: 3.0463e-03 eta: 1 day, 3:58:47 time: 0.4836 data_time: 0.1049 memory: 17007 grad_norm: 8.2188 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6110 loss: 1.6110 2022/07/28 17:50:21 - mmengine - INFO - Epoch(train) [114][2660/3757] lr: 3.0463e-03 eta: 1 day, 3:58:43 time: 0.7482 data_time: 0.0137 memory: 17007 grad_norm: 8.7882 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8089 loss: 1.8089 2022/07/28 17:50:30 - mmengine - INFO - Epoch(train) [114][2680/3757] lr: 3.0463e-03 eta: 1 day, 3:58:36 time: 0.4922 data_time: 0.0355 memory: 17007 grad_norm: 8.1648 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6159 loss: 1.6159 2022/07/28 17:50:50 - mmengine - INFO - Epoch(train) [114][2700/3757] lr: 3.0463e-03 eta: 1 day, 3:58:34 time: 1.0012 data_time: 0.0114 memory: 17007 grad_norm: 8.4800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5569 loss: 1.5569 2022/07/28 17:51:00 - mmengine - INFO - Epoch(train) [114][2720/3757] lr: 3.0463e-03 eta: 1 day, 3:58:27 time: 0.4834 data_time: 0.0268 memory: 17007 grad_norm: 8.3508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8695 loss: 1.8695 2022/07/28 17:51:18 - mmengine - INFO - Epoch(train) [114][2740/3757] lr: 3.0463e-03 eta: 1 day, 3:58:25 time: 0.8726 data_time: 0.0155 memory: 17007 grad_norm: 8.8652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7015 loss: 1.7015 2022/07/28 17:51:35 - mmengine - INFO - Epoch(train) [114][2760/3757] lr: 3.0463e-03 eta: 1 day, 3:58:22 time: 0.8815 data_time: 0.1107 memory: 17007 grad_norm: 8.3204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7462 loss: 1.7462 2022/07/28 17:51:46 - mmengine - INFO - Epoch(train) [114][2780/3757] lr: 3.0463e-03 eta: 1 day, 3:58:15 time: 0.5193 data_time: 0.0210 memory: 17007 grad_norm: 8.7165 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8319 loss: 1.8319 2022/07/28 17:51:57 - mmengine - INFO - Epoch(train) [114][2800/3757] lr: 3.0463e-03 eta: 1 day, 3:58:09 time: 0.5569 data_time: 0.0159 memory: 17007 grad_norm: 8.7243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7242 loss: 1.7242 2022/07/28 17:52:12 - mmengine - INFO - Epoch(train) [114][2820/3757] lr: 3.0463e-03 eta: 1 day, 3:58:05 time: 0.7775 data_time: 0.0161 memory: 17007 grad_norm: 8.4784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6978 loss: 1.6978 2022/07/28 17:52:24 - mmengine - INFO - Epoch(train) [114][2840/3757] lr: 3.0463e-03 eta: 1 day, 3:57:59 time: 0.5843 data_time: 0.0176 memory: 17007 grad_norm: 8.7772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8260 loss: 1.8260 2022/07/28 17:52:37 - mmengine - INFO - Epoch(train) [114][2860/3757] lr: 3.0463e-03 eta: 1 day, 3:57:54 time: 0.6616 data_time: 0.0195 memory: 17007 grad_norm: 8.5617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6496 loss: 1.6496 2022/07/28 17:52:54 - mmengine - INFO - Epoch(train) [114][2880/3757] lr: 3.0463e-03 eta: 1 day, 3:57:51 time: 0.8182 data_time: 0.0229 memory: 17007 grad_norm: 8.8054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7080 loss: 1.7080 2022/07/28 17:53:09 - mmengine - INFO - Epoch(train) [114][2900/3757] lr: 3.0463e-03 eta: 1 day, 3:57:47 time: 0.7768 data_time: 0.0177 memory: 17007 grad_norm: 9.0341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4490 loss: 1.4490 2022/07/28 17:53:21 - mmengine - INFO - Epoch(train) [114][2920/3757] lr: 3.0463e-03 eta: 1 day, 3:57:41 time: 0.5960 data_time: 0.0154 memory: 17007 grad_norm: 8.7910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5190 loss: 1.5190 2022/07/28 17:53:31 - mmengine - INFO - Epoch(train) [114][2940/3757] lr: 3.0463e-03 eta: 1 day, 3:57:34 time: 0.4988 data_time: 0.0155 memory: 17007 grad_norm: 8.9100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5469 loss: 1.5469 2022/07/28 17:53:44 - mmengine - INFO - Epoch(train) [114][2960/3757] lr: 3.0463e-03 eta: 1 day, 3:57:29 time: 0.6349 data_time: 0.0167 memory: 17007 grad_norm: 9.0405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7341 loss: 1.7341 2022/07/28 17:53:56 - mmengine - INFO - Epoch(train) [114][2980/3757] lr: 3.0463e-03 eta: 1 day, 3:57:23 time: 0.5964 data_time: 0.0352 memory: 17007 grad_norm: 8.6299 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5110 loss: 1.5110 2022/07/28 17:54:06 - mmengine - INFO - Epoch(train) [114][3000/3757] lr: 3.0463e-03 eta: 1 day, 3:57:16 time: 0.5007 data_time: 0.0820 memory: 17007 grad_norm: 8.6228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4979 loss: 1.4979 2022/07/28 17:54:23 - mmengine - INFO - Epoch(train) [114][3020/3757] lr: 3.0463e-03 eta: 1 day, 3:57:13 time: 0.8460 data_time: 0.0160 memory: 17007 grad_norm: 8.5600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4752 loss: 1.4752 2022/07/28 17:54:33 - mmengine - INFO - Epoch(train) [114][3040/3757] lr: 3.0463e-03 eta: 1 day, 3:57:06 time: 0.5000 data_time: 0.0166 memory: 17007 grad_norm: 8.6287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7388 loss: 1.7388 2022/07/28 17:54:49 - mmengine - INFO - Epoch(train) [114][3060/3757] lr: 3.0463e-03 eta: 1 day, 3:57:03 time: 0.7918 data_time: 0.3990 memory: 17007 grad_norm: 8.3625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5881 loss: 1.5881 2022/07/28 17:55:06 - mmengine - INFO - Epoch(train) [114][3080/3757] lr: 3.0463e-03 eta: 1 day, 3:57:00 time: 0.8794 data_time: 0.0200 memory: 17007 grad_norm: 8.6860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5226 loss: 1.5226 2022/07/28 17:55:16 - mmengine - INFO - Epoch(train) [114][3100/3757] lr: 3.0463e-03 eta: 1 day, 3:56:53 time: 0.5003 data_time: 0.0209 memory: 17007 grad_norm: 8.8766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6836 loss: 1.6836 2022/07/28 17:55:27 - mmengine - INFO - Epoch(train) [114][3120/3757] lr: 3.0463e-03 eta: 1 day, 3:56:46 time: 0.5388 data_time: 0.1482 memory: 17007 grad_norm: 8.5767 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1505 loss: 2.1505 2022/07/28 17:55:38 - mmengine - INFO - Epoch(train) [114][3140/3757] lr: 3.0463e-03 eta: 1 day, 3:56:40 time: 0.5489 data_time: 0.0149 memory: 17007 grad_norm: 8.3057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6562 loss: 1.6562 2022/07/28 17:55:50 - mmengine - INFO - Epoch(train) [114][3160/3757] lr: 3.0463e-03 eta: 1 day, 3:56:34 time: 0.6011 data_time: 0.2081 memory: 17007 grad_norm: 8.4899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6909 loss: 1.6909 2022/07/28 17:56:00 - mmengine - INFO - Epoch(train) [114][3180/3757] lr: 3.0463e-03 eta: 1 day, 3:56:27 time: 0.4930 data_time: 0.1042 memory: 17007 grad_norm: 8.4930 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7518 loss: 1.7518 2022/07/28 17:56:21 - mmengine - INFO - Epoch(train) [114][3200/3757] lr: 3.0463e-03 eta: 1 day, 3:56:26 time: 1.0321 data_time: 0.0134 memory: 17007 grad_norm: 8.6022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6416 loss: 1.6416 2022/07/28 17:56:33 - mmengine - INFO - Epoch(train) [114][3220/3757] lr: 3.0463e-03 eta: 1 day, 3:56:21 time: 0.6182 data_time: 0.0765 memory: 17007 grad_norm: 8.3621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8527 loss: 1.8527 2022/07/28 17:56:45 - mmengine - INFO - Epoch(train) [114][3240/3757] lr: 3.0463e-03 eta: 1 day, 3:56:15 time: 0.5937 data_time: 0.1008 memory: 17007 grad_norm: 8.5408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7757 loss: 1.7757 2022/07/28 17:56:58 - mmengine - INFO - Epoch(train) [114][3260/3757] lr: 3.0463e-03 eta: 1 day, 3:56:10 time: 0.6633 data_time: 0.0161 memory: 17007 grad_norm: 8.8000 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8370 loss: 1.8370 2022/07/28 17:57:11 - mmengine - INFO - Epoch(train) [114][3280/3757] lr: 3.0463e-03 eta: 1 day, 3:56:04 time: 0.6465 data_time: 0.0175 memory: 17007 grad_norm: 8.5953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6562 loss: 1.6562 2022/07/28 17:57:26 - mmengine - INFO - Epoch(train) [114][3300/3757] lr: 3.0463e-03 eta: 1 day, 3:56:00 time: 0.7364 data_time: 0.0165 memory: 17007 grad_norm: 8.8962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5642 loss: 1.5642 2022/07/28 17:57:36 - mmengine - INFO - Epoch(train) [114][3320/3757] lr: 3.0463e-03 eta: 1 day, 3:55:53 time: 0.4957 data_time: 0.0965 memory: 17007 grad_norm: 8.7315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8946 loss: 1.8946 2022/07/28 17:57:44 - mmengine - INFO - Epoch(train) [114][3340/3757] lr: 3.0463e-03 eta: 1 day, 3:55:45 time: 0.3963 data_time: 0.0131 memory: 17007 grad_norm: 8.6504 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7768 loss: 1.7768 2022/07/28 17:57:52 - mmengine - INFO - Epoch(train) [114][3360/3757] lr: 3.0463e-03 eta: 1 day, 3:55:37 time: 0.3956 data_time: 0.0159 memory: 17007 grad_norm: 8.5740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8042 loss: 1.8042 2022/07/28 17:58:00 - mmengine - INFO - Epoch(train) [114][3380/3757] lr: 3.0463e-03 eta: 1 day, 3:55:29 time: 0.4003 data_time: 0.0154 memory: 17007 grad_norm: 8.5806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7453 loss: 1.7453 2022/07/28 17:58:08 - mmengine - INFO - Epoch(train) [114][3400/3757] lr: 3.0463e-03 eta: 1 day, 3:55:20 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 8.1848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4821 loss: 1.4821 2022/07/28 17:58:15 - mmengine - INFO - Epoch(train) [114][3420/3757] lr: 3.0463e-03 eta: 1 day, 3:55:12 time: 0.3944 data_time: 0.0147 memory: 17007 grad_norm: 8.1864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4774 loss: 1.4774 2022/07/28 17:58:24 - mmengine - INFO - Epoch(train) [114][3440/3757] lr: 3.0463e-03 eta: 1 day, 3:55:04 time: 0.4030 data_time: 0.0179 memory: 17007 grad_norm: 8.5060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7178 loss: 1.7178 2022/07/28 17:58:31 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 17:58:31 - mmengine - INFO - Epoch(train) [114][3460/3757] lr: 3.0463e-03 eta: 1 day, 3:54:56 time: 0.3968 data_time: 0.0132 memory: 17007 grad_norm: 8.6388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4524 loss: 1.4524 2022/07/28 17:58:40 - mmengine - INFO - Epoch(train) [114][3480/3757] lr: 3.0463e-03 eta: 1 day, 3:54:48 time: 0.4025 data_time: 0.0184 memory: 17007 grad_norm: 8.8766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7181 loss: 1.7181 2022/07/28 17:58:47 - mmengine - INFO - Epoch(train) [114][3500/3757] lr: 3.0463e-03 eta: 1 day, 3:54:40 time: 0.3970 data_time: 0.0150 memory: 17007 grad_norm: 8.9821 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6063 loss: 1.6063 2022/07/28 17:58:55 - mmengine - INFO - Epoch(train) [114][3520/3757] lr: 3.0463e-03 eta: 1 day, 3:54:31 time: 0.3944 data_time: 0.0158 memory: 17007 grad_norm: 8.5683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7863 loss: 1.7863 2022/07/28 17:59:03 - mmengine - INFO - Epoch(train) [114][3540/3757] lr: 3.0463e-03 eta: 1 day, 3:54:23 time: 0.4053 data_time: 0.0279 memory: 17007 grad_norm: 8.9483 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5580 loss: 1.5580 2022/07/28 17:59:18 - mmengine - INFO - Epoch(train) [114][3560/3757] lr: 3.0463e-03 eta: 1 day, 3:54:19 time: 0.7415 data_time: 0.1773 memory: 17007 grad_norm: 9.1046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7879 loss: 1.7879 2022/07/28 17:59:32 - mmengine - INFO - Epoch(train) [114][3580/3757] lr: 3.0463e-03 eta: 1 day, 3:54:14 time: 0.6782 data_time: 0.0188 memory: 17007 grad_norm: 8.8131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6935 loss: 1.6935 2022/07/28 17:59:42 - mmengine - INFO - Epoch(train) [114][3600/3757] lr: 3.0463e-03 eta: 1 day, 3:54:08 time: 0.5281 data_time: 0.0553 memory: 17007 grad_norm: 8.7250 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6980 loss: 1.6980 2022/07/28 17:59:52 - mmengine - INFO - Epoch(train) [114][3620/3757] lr: 3.0463e-03 eta: 1 day, 3:54:00 time: 0.4956 data_time: 0.0186 memory: 17007 grad_norm: 8.3442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6999 loss: 1.6999 2022/07/28 18:00:09 - mmengine - INFO - Epoch(train) [114][3640/3757] lr: 3.0463e-03 eta: 1 day, 3:53:57 time: 0.8341 data_time: 0.0129 memory: 17007 grad_norm: 8.7953 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5550 loss: 1.5550 2022/07/28 18:00:21 - mmengine - INFO - Epoch(train) [114][3660/3757] lr: 3.0463e-03 eta: 1 day, 3:53:51 time: 0.5898 data_time: 0.0411 memory: 17007 grad_norm: 8.6773 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7442 loss: 1.7442 2022/07/28 18:00:38 - mmengine - INFO - Epoch(train) [114][3680/3757] lr: 3.0463e-03 eta: 1 day, 3:53:49 time: 0.8754 data_time: 0.0191 memory: 17007 grad_norm: 8.6487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6866 loss: 1.6866 2022/07/28 18:00:49 - mmengine - INFO - Epoch(train) [114][3700/3757] lr: 3.0463e-03 eta: 1 day, 3:53:42 time: 0.5115 data_time: 0.1229 memory: 17007 grad_norm: 8.2651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8167 loss: 1.8167 2022/07/28 18:01:00 - mmengine - INFO - Epoch(train) [114][3720/3757] lr: 3.0463e-03 eta: 1 day, 3:53:36 time: 0.5820 data_time: 0.0176 memory: 17007 grad_norm: 8.6365 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6573 loss: 1.6573 2022/07/28 18:01:09 - mmengine - INFO - Epoch(train) [114][3740/3757] lr: 3.0463e-03 eta: 1 day, 3:53:28 time: 0.4125 data_time: 0.0158 memory: 17007 grad_norm: 8.7352 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5623 loss: 1.5623 2022/07/28 18:01:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 18:01:21 - mmengine - INFO - Epoch(train) [114][3757/3757] lr: 3.0463e-03 eta: 1 day, 3:53:28 time: 0.6989 data_time: 0.2380 memory: 17007 grad_norm: 8.5278 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7894 loss: 1.7894 2022/07/28 18:01:21 - mmengine - INFO - Saving checkpoint at 114 epochs 2022/07/28 18:01:46 - mmengine - INFO - Epoch(train) [115][20/3757] lr: 2.9663e-03 eta: 1 day, 3:53:14 time: 0.8696 data_time: 0.3812 memory: 17007 grad_norm: 8.8620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9631 loss: 1.9631 2022/07/28 18:01:59 - mmengine - INFO - Epoch(train) [115][40/3757] lr: 2.9663e-03 eta: 1 day, 3:53:09 time: 0.6628 data_time: 0.0209 memory: 17007 grad_norm: 9.0843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4731 loss: 1.4731 2022/07/28 18:02:09 - mmengine - INFO - Epoch(train) [115][60/3757] lr: 2.9663e-03 eta: 1 day, 3:53:02 time: 0.5099 data_time: 0.0172 memory: 17007 grad_norm: 8.9470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9950 loss: 1.9950 2022/07/28 18:02:23 - mmengine - INFO - Epoch(train) [115][80/3757] lr: 2.9663e-03 eta: 1 day, 3:52:58 time: 0.6988 data_time: 0.0147 memory: 17007 grad_norm: 8.8277 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5489 loss: 1.5489 2022/07/28 18:02:35 - mmengine - INFO - Epoch(train) [115][100/3757] lr: 2.9663e-03 eta: 1 day, 3:52:52 time: 0.6219 data_time: 0.1264 memory: 17007 grad_norm: 8.9818 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5980 loss: 1.5980 2022/07/28 18:02:45 - mmengine - INFO - Epoch(train) [115][120/3757] lr: 2.9663e-03 eta: 1 day, 3:52:45 time: 0.4945 data_time: 0.0168 memory: 17007 grad_norm: 8.8255 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6319 loss: 1.6319 2022/07/28 18:03:02 - mmengine - INFO - Epoch(train) [115][140/3757] lr: 2.9663e-03 eta: 1 day, 3:52:42 time: 0.8123 data_time: 0.0135 memory: 17007 grad_norm: 8.3636 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6374 loss: 1.6374 2022/07/28 18:03:15 - mmengine - INFO - Epoch(train) [115][160/3757] lr: 2.9663e-03 eta: 1 day, 3:52:36 time: 0.6488 data_time: 0.2664 memory: 17007 grad_norm: 8.6003 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8051 loss: 1.8051 2022/07/28 18:03:28 - mmengine - INFO - Epoch(train) [115][180/3757] lr: 2.9663e-03 eta: 1 day, 3:52:31 time: 0.6910 data_time: 0.0174 memory: 17007 grad_norm: 8.8685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6651 loss: 1.6651 2022/07/28 18:03:38 - mmengine - INFO - Epoch(train) [115][200/3757] lr: 2.9663e-03 eta: 1 day, 3:52:24 time: 0.4786 data_time: 0.0769 memory: 17007 grad_norm: 8.3455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7673 loss: 1.7673 2022/07/28 18:03:49 - mmengine - INFO - Epoch(train) [115][220/3757] lr: 2.9663e-03 eta: 1 day, 3:52:18 time: 0.5276 data_time: 0.0397 memory: 17007 grad_norm: 8.5619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7964 loss: 1.7964 2022/07/28 18:04:01 - mmengine - INFO - Epoch(train) [115][240/3757] lr: 2.9663e-03 eta: 1 day, 3:52:12 time: 0.6217 data_time: 0.0188 memory: 17007 grad_norm: 8.2677 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5457 loss: 1.5457 2022/07/28 18:04:11 - mmengine - INFO - Epoch(train) [115][260/3757] lr: 2.9663e-03 eta: 1 day, 3:52:05 time: 0.4974 data_time: 0.0977 memory: 17007 grad_norm: 8.7041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8265 loss: 1.8265 2022/07/28 18:04:21 - mmengine - INFO - Epoch(train) [115][280/3757] lr: 2.9663e-03 eta: 1 day, 3:51:58 time: 0.5168 data_time: 0.0775 memory: 17007 grad_norm: 8.7775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4947 loss: 1.4947 2022/07/28 18:04:33 - mmengine - INFO - Epoch(train) [115][300/3757] lr: 2.9663e-03 eta: 1 day, 3:51:52 time: 0.5922 data_time: 0.0162 memory: 17007 grad_norm: 8.6653 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7724 loss: 1.7724 2022/07/28 18:04:53 - mmengine - INFO - Epoch(train) [115][320/3757] lr: 2.9663e-03 eta: 1 day, 3:51:51 time: 0.9895 data_time: 0.0185 memory: 17007 grad_norm: 8.3520 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6639 loss: 1.6639 2022/07/28 18:05:09 - mmengine - INFO - Epoch(train) [115][340/3757] lr: 2.9663e-03 eta: 1 day, 3:51:47 time: 0.8050 data_time: 0.0167 memory: 17007 grad_norm: 9.0760 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7026 loss: 1.7026 2022/07/28 18:05:27 - mmengine - INFO - Epoch(train) [115][360/3757] lr: 2.9663e-03 eta: 1 day, 3:51:45 time: 0.8809 data_time: 0.0183 memory: 17007 grad_norm: 8.4565 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9195 loss: 1.9195 2022/07/28 18:05:38 - mmengine - INFO - Epoch(train) [115][380/3757] lr: 2.9663e-03 eta: 1 day, 3:51:39 time: 0.5803 data_time: 0.0157 memory: 17007 grad_norm: 8.7133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9217 loss: 1.9217 2022/07/28 18:05:49 - mmengine - INFO - Epoch(train) [115][400/3757] lr: 2.9663e-03 eta: 1 day, 3:51:32 time: 0.5242 data_time: 0.0320 memory: 17007 grad_norm: 8.1917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6429 loss: 1.6429 2022/07/28 18:06:01 - mmengine - INFO - Epoch(train) [115][420/3757] lr: 2.9663e-03 eta: 1 day, 3:51:26 time: 0.6157 data_time: 0.1240 memory: 17007 grad_norm: 8.2930 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6146 loss: 1.6146 2022/07/28 18:06:11 - mmengine - INFO - Epoch(train) [115][440/3757] lr: 2.9663e-03 eta: 1 day, 3:51:19 time: 0.5137 data_time: 0.0570 memory: 17007 grad_norm: 8.3917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6554 loss: 1.6554 2022/07/28 18:06:22 - mmengine - INFO - Epoch(train) [115][460/3757] lr: 2.9663e-03 eta: 1 day, 3:51:13 time: 0.5225 data_time: 0.0155 memory: 17007 grad_norm: 8.5937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5784 loss: 1.5784 2022/07/28 18:06:33 - mmengine - INFO - Epoch(train) [115][480/3757] lr: 2.9663e-03 eta: 1 day, 3:51:06 time: 0.5610 data_time: 0.1187 memory: 17007 grad_norm: 8.8650 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9216 loss: 1.9216 2022/07/28 18:06:46 - mmengine - INFO - Epoch(train) [115][500/3757] lr: 2.9663e-03 eta: 1 day, 3:51:01 time: 0.6637 data_time: 0.0198 memory: 17007 grad_norm: 8.4467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4423 loss: 1.4423 2022/07/28 18:07:01 - mmengine - INFO - Epoch(train) [115][520/3757] lr: 2.9663e-03 eta: 1 day, 3:50:57 time: 0.7414 data_time: 0.0201 memory: 17007 grad_norm: 8.4046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4223 loss: 1.4223 2022/07/28 18:07:13 - mmengine - INFO - Epoch(train) [115][540/3757] lr: 2.9663e-03 eta: 1 day, 3:50:51 time: 0.5975 data_time: 0.0182 memory: 17007 grad_norm: 8.2316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3606 loss: 1.3606 2022/07/28 18:07:24 - mmengine - INFO - Epoch(train) [115][560/3757] lr: 2.9663e-03 eta: 1 day, 3:50:45 time: 0.5489 data_time: 0.0172 memory: 17007 grad_norm: 8.5227 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.6628 loss: 1.6628 2022/07/28 18:07:37 - mmengine - INFO - Epoch(train) [115][580/3757] lr: 2.9663e-03 eta: 1 day, 3:50:39 time: 0.6586 data_time: 0.0172 memory: 17007 grad_norm: 8.6500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7426 loss: 1.7426 2022/07/28 18:07:59 - mmengine - INFO - Epoch(train) [115][600/3757] lr: 2.9663e-03 eta: 1 day, 3:50:39 time: 1.0679 data_time: 0.3317 memory: 17007 grad_norm: 8.4812 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8605 loss: 1.8605 2022/07/28 18:08:12 - mmengine - INFO - Epoch(train) [115][620/3757] lr: 2.9663e-03 eta: 1 day, 3:50:34 time: 0.6440 data_time: 0.0179 memory: 17007 grad_norm: 8.9554 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8536 loss: 1.8536 2022/07/28 18:08:23 - mmengine - INFO - Epoch(train) [115][640/3757] lr: 2.9663e-03 eta: 1 day, 3:50:28 time: 0.5809 data_time: 0.0156 memory: 17007 grad_norm: 8.3583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2923 loss: 1.2923 2022/07/28 18:08:36 - mmengine - INFO - Epoch(train) [115][660/3757] lr: 2.9663e-03 eta: 1 day, 3:50:22 time: 0.6106 data_time: 0.0153 memory: 17007 grad_norm: 8.7184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8922 loss: 1.8922 2022/07/28 18:08:48 - mmengine - INFO - Epoch(train) [115][680/3757] lr: 2.9663e-03 eta: 1 day, 3:50:16 time: 0.6019 data_time: 0.0187 memory: 17007 grad_norm: 8.5175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6744 loss: 1.6744 2022/07/28 18:09:06 - mmengine - INFO - Epoch(train) [115][700/3757] lr: 2.9663e-03 eta: 1 day, 3:50:14 time: 0.9309 data_time: 0.0185 memory: 17007 grad_norm: 8.5664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7438 loss: 1.7438 2022/07/28 18:09:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 18:09:16 - mmengine - INFO - Epoch(train) [115][720/3757] lr: 2.9663e-03 eta: 1 day, 3:50:07 time: 0.4821 data_time: 0.0173 memory: 17007 grad_norm: 8.2591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5357 loss: 1.5357 2022/07/28 18:09:26 - mmengine - INFO - Epoch(train) [115][740/3757] lr: 2.9663e-03 eta: 1 day, 3:50:00 time: 0.4848 data_time: 0.0169 memory: 17007 grad_norm: 8.2081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7441 loss: 1.7441 2022/07/28 18:09:44 - mmengine - INFO - Epoch(train) [115][760/3757] lr: 2.9663e-03 eta: 1 day, 3:49:57 time: 0.9012 data_time: 0.1320 memory: 17007 grad_norm: 8.8603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8034 loss: 1.8034 2022/07/28 18:09:54 - mmengine - INFO - Epoch(train) [115][780/3757] lr: 2.9663e-03 eta: 1 day, 3:49:50 time: 0.5114 data_time: 0.0176 memory: 17007 grad_norm: 8.2235 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5353 loss: 1.5353 2022/07/28 18:10:04 - mmengine - INFO - Epoch(train) [115][800/3757] lr: 2.9663e-03 eta: 1 day, 3:49:43 time: 0.4916 data_time: 0.0284 memory: 17007 grad_norm: 8.5055 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4120 loss: 1.4120 2022/07/28 18:10:20 - mmengine - INFO - Epoch(train) [115][820/3757] lr: 2.9663e-03 eta: 1 day, 3:49:40 time: 0.8105 data_time: 0.0148 memory: 17007 grad_norm: 8.4335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5680 loss: 1.5680 2022/07/28 18:10:32 - mmengine - INFO - Epoch(train) [115][840/3757] lr: 2.9663e-03 eta: 1 day, 3:49:34 time: 0.5874 data_time: 0.0869 memory: 17007 grad_norm: 8.4668 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6959 loss: 1.6959 2022/07/28 18:10:49 - mmengine - INFO - Epoch(train) [115][860/3757] lr: 2.9663e-03 eta: 1 day, 3:49:31 time: 0.8630 data_time: 0.0148 memory: 17007 grad_norm: 8.6191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4793 loss: 1.4793 2022/07/28 18:11:01 - mmengine - INFO - Epoch(train) [115][880/3757] lr: 2.9663e-03 eta: 1 day, 3:49:25 time: 0.5878 data_time: 0.1913 memory: 17007 grad_norm: 8.3713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6023 loss: 1.6023 2022/07/28 18:11:12 - mmengine - INFO - Epoch(train) [115][900/3757] lr: 2.9663e-03 eta: 1 day, 3:49:19 time: 0.5819 data_time: 0.1954 memory: 17007 grad_norm: 8.6206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0253 loss: 2.0253 2022/07/28 18:11:20 - mmengine - INFO - Epoch(train) [115][920/3757] lr: 2.9663e-03 eta: 1 day, 3:49:11 time: 0.3959 data_time: 0.0177 memory: 17007 grad_norm: 8.5145 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8198 loss: 1.8198 2022/07/28 18:11:28 - mmengine - INFO - Epoch(train) [115][940/3757] lr: 2.9663e-03 eta: 1 day, 3:49:02 time: 0.4005 data_time: 0.0145 memory: 17007 grad_norm: 8.4644 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6335 loss: 1.6335 2022/07/28 18:11:36 - mmengine - INFO - Epoch(train) [115][960/3757] lr: 2.9663e-03 eta: 1 day, 3:48:54 time: 0.3966 data_time: 0.0168 memory: 17007 grad_norm: 8.4206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7975 loss: 1.7975 2022/07/28 18:11:44 - mmengine - INFO - Epoch(train) [115][980/3757] lr: 2.9663e-03 eta: 1 day, 3:48:46 time: 0.3950 data_time: 0.0129 memory: 17007 grad_norm: 8.7220 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6400 loss: 1.6400 2022/07/28 18:11:53 - mmengine - INFO - Epoch(train) [115][1000/3757] lr: 2.9663e-03 eta: 1 day, 3:48:38 time: 0.4180 data_time: 0.0175 memory: 17007 grad_norm: 8.6570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6674 loss: 1.6674 2022/07/28 18:12:01 - mmengine - INFO - Epoch(train) [115][1020/3757] lr: 2.9663e-03 eta: 1 day, 3:48:30 time: 0.3996 data_time: 0.0151 memory: 17007 grad_norm: 8.4745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7457 loss: 1.7457 2022/07/28 18:12:09 - mmengine - INFO - Epoch(train) [115][1040/3757] lr: 2.9663e-03 eta: 1 day, 3:48:22 time: 0.3963 data_time: 0.0162 memory: 17007 grad_norm: 8.7490 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9864 loss: 1.9864 2022/07/28 18:12:16 - mmengine - INFO - Epoch(train) [115][1060/3757] lr: 2.9663e-03 eta: 1 day, 3:48:13 time: 0.3934 data_time: 0.0137 memory: 17007 grad_norm: 8.6470 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6833 loss: 1.6833 2022/07/28 18:12:25 - mmengine - INFO - Epoch(train) [115][1080/3757] lr: 2.9663e-03 eta: 1 day, 3:48:05 time: 0.4039 data_time: 0.0173 memory: 17007 grad_norm: 8.4832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5500 loss: 1.5500 2022/07/28 18:12:32 - mmengine - INFO - Epoch(train) [115][1100/3757] lr: 2.9663e-03 eta: 1 day, 3:47:57 time: 0.3959 data_time: 0.0132 memory: 17007 grad_norm: 9.0744 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7653 loss: 1.7653 2022/07/28 18:12:43 - mmengine - INFO - Epoch(train) [115][1120/3757] lr: 2.9663e-03 eta: 1 day, 3:47:50 time: 0.5283 data_time: 0.0200 memory: 17007 grad_norm: 9.1362 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7628 loss: 1.7628 2022/07/28 18:12:55 - mmengine - INFO - Epoch(train) [115][1140/3757] lr: 2.9663e-03 eta: 1 day, 3:47:44 time: 0.5835 data_time: 0.0133 memory: 17007 grad_norm: 8.7091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7438 loss: 1.7438 2022/07/28 18:13:05 - mmengine - INFO - Epoch(train) [115][1160/3757] lr: 2.9663e-03 eta: 1 day, 3:47:38 time: 0.5286 data_time: 0.0204 memory: 17007 grad_norm: 8.5333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8624 loss: 1.8624 2022/07/28 18:13:22 - mmengine - INFO - Epoch(train) [115][1180/3757] lr: 2.9663e-03 eta: 1 day, 3:47:34 time: 0.8382 data_time: 0.0160 memory: 17007 grad_norm: 9.3029 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4613 loss: 1.4613 2022/07/28 18:13:33 - mmengine - INFO - Epoch(train) [115][1200/3757] lr: 2.9663e-03 eta: 1 day, 3:47:28 time: 0.5586 data_time: 0.0171 memory: 17007 grad_norm: 8.6629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7330 loss: 1.7330 2022/07/28 18:13:43 - mmengine - INFO - Epoch(train) [115][1220/3757] lr: 2.9663e-03 eta: 1 day, 3:47:21 time: 0.4889 data_time: 0.0182 memory: 17007 grad_norm: 8.6421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7202 loss: 1.7202 2022/07/28 18:13:57 - mmengine - INFO - Epoch(train) [115][1240/3757] lr: 2.9663e-03 eta: 1 day, 3:47:16 time: 0.6989 data_time: 0.2855 memory: 17007 grad_norm: 8.6796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8233 loss: 1.8233 2022/07/28 18:14:07 - mmengine - INFO - Epoch(train) [115][1260/3757] lr: 2.9663e-03 eta: 1 day, 3:47:09 time: 0.4827 data_time: 0.0153 memory: 17007 grad_norm: 8.6079 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5993 loss: 1.5993 2022/07/28 18:14:19 - mmengine - INFO - Epoch(train) [115][1280/3757] lr: 2.9663e-03 eta: 1 day, 3:47:03 time: 0.6215 data_time: 0.1181 memory: 17007 grad_norm: 8.5649 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5613 loss: 1.5613 2022/07/28 18:14:33 - mmengine - INFO - Epoch(train) [115][1300/3757] lr: 2.9663e-03 eta: 1 day, 3:46:58 time: 0.6687 data_time: 0.0356 memory: 17007 grad_norm: 8.7199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7446 loss: 1.7446 2022/07/28 18:14:46 - mmengine - INFO - Epoch(train) [115][1320/3757] lr: 2.9663e-03 eta: 1 day, 3:46:53 time: 0.6778 data_time: 0.0179 memory: 17007 grad_norm: 8.7732 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9754 loss: 1.9754 2022/07/28 18:14:59 - mmengine - INFO - Epoch(train) [115][1340/3757] lr: 2.9663e-03 eta: 1 day, 3:46:48 time: 0.6262 data_time: 0.0172 memory: 17007 grad_norm: 8.8149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7385 loss: 1.7385 2022/07/28 18:15:09 - mmengine - INFO - Epoch(train) [115][1360/3757] lr: 2.9663e-03 eta: 1 day, 3:46:41 time: 0.5218 data_time: 0.0890 memory: 17007 grad_norm: 8.5090 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6056 loss: 1.6056 2022/07/28 18:15:24 - mmengine - INFO - Epoch(train) [115][1380/3757] lr: 2.9663e-03 eta: 1 day, 3:46:36 time: 0.7222 data_time: 0.2482 memory: 17007 grad_norm: 8.6615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6461 loss: 1.6461 2022/07/28 18:15:34 - mmengine - INFO - Epoch(train) [115][1400/3757] lr: 2.9663e-03 eta: 1 day, 3:46:30 time: 0.5130 data_time: 0.0154 memory: 17007 grad_norm: 8.7986 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/07/28 18:15:46 - mmengine - INFO - Epoch(train) [115][1420/3757] lr: 2.9663e-03 eta: 1 day, 3:46:24 time: 0.6029 data_time: 0.0993 memory: 17007 grad_norm: 8.2606 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5649 loss: 1.5649 2022/07/28 18:15:56 - mmengine - INFO - Epoch(train) [115][1440/3757] lr: 2.9663e-03 eta: 1 day, 3:46:17 time: 0.5304 data_time: 0.0168 memory: 17007 grad_norm: 9.0345 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6138 loss: 1.6138 2022/07/28 18:16:13 - mmengine - INFO - Epoch(train) [115][1460/3757] lr: 2.9663e-03 eta: 1 day, 3:46:14 time: 0.8036 data_time: 0.0179 memory: 17007 grad_norm: 8.6855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6317 loss: 1.6317 2022/07/28 18:16:24 - mmengine - INFO - Epoch(train) [115][1480/3757] lr: 2.9663e-03 eta: 1 day, 3:46:07 time: 0.5851 data_time: 0.0167 memory: 17007 grad_norm: 9.0541 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.7533 loss: 1.7533 2022/07/28 18:16:37 - mmengine - INFO - Epoch(train) [115][1500/3757] lr: 2.9663e-03 eta: 1 day, 3:46:02 time: 0.6135 data_time: 0.0634 memory: 17007 grad_norm: 8.3007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6188 loss: 1.6188 2022/07/28 18:16:49 - mmengine - INFO - Epoch(train) [115][1520/3757] lr: 2.9663e-03 eta: 1 day, 3:45:56 time: 0.6199 data_time: 0.0199 memory: 17007 grad_norm: 8.8519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9301 loss: 1.9301 2022/07/28 18:17:01 - mmengine - INFO - Epoch(train) [115][1540/3757] lr: 2.9663e-03 eta: 1 day, 3:45:50 time: 0.5837 data_time: 0.1062 memory: 17007 grad_norm: 8.7450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8147 loss: 1.8147 2022/07/28 18:17:11 - mmengine - INFO - Epoch(train) [115][1560/3757] lr: 2.9663e-03 eta: 1 day, 3:45:43 time: 0.5054 data_time: 0.0155 memory: 17007 grad_norm: 8.4266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7325 loss: 1.7325 2022/07/28 18:17:24 - mmengine - INFO - Epoch(train) [115][1580/3757] lr: 2.9663e-03 eta: 1 day, 3:45:38 time: 0.6667 data_time: 0.0157 memory: 17007 grad_norm: 8.7693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5431 loss: 1.5431 2022/07/28 18:17:39 - mmengine - INFO - Epoch(train) [115][1600/3757] lr: 2.9663e-03 eta: 1 day, 3:45:34 time: 0.7285 data_time: 0.3340 memory: 17007 grad_norm: 8.4713 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6577 loss: 1.6577 2022/07/28 18:17:51 - mmengine - INFO - Epoch(train) [115][1620/3757] lr: 2.9663e-03 eta: 1 day, 3:45:28 time: 0.5981 data_time: 0.0812 memory: 17007 grad_norm: 8.8478 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8870 loss: 1.8870 2022/07/28 18:18:04 - mmengine - INFO - Epoch(train) [115][1640/3757] lr: 2.9663e-03 eta: 1 day, 3:45:23 time: 0.6720 data_time: 0.0152 memory: 17007 grad_norm: 8.8481 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6951 loss: 1.6951 2022/07/28 18:18:16 - mmengine - INFO - Epoch(train) [115][1660/3757] lr: 2.9663e-03 eta: 1 day, 3:45:17 time: 0.5989 data_time: 0.0172 memory: 17007 grad_norm: 8.8172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/07/28 18:18:28 - mmengine - INFO - Epoch(train) [115][1680/3757] lr: 2.9663e-03 eta: 1 day, 3:45:11 time: 0.5949 data_time: 0.1609 memory: 17007 grad_norm: 8.6197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7686 loss: 1.7686 2022/07/28 18:18:39 - mmengine - INFO - Epoch(train) [115][1700/3757] lr: 2.9663e-03 eta: 1 day, 3:45:04 time: 0.5393 data_time: 0.0206 memory: 17007 grad_norm: 8.6039 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8094 loss: 1.8094 2022/07/28 18:18:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 18:18:54 - mmengine - INFO - Epoch(train) [115][1720/3757] lr: 2.9663e-03 eta: 1 day, 3:45:00 time: 0.7424 data_time: 0.0495 memory: 17007 grad_norm: 8.7368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6622 loss: 1.6622 2022/07/28 18:19:08 - mmengine - INFO - Epoch(train) [115][1740/3757] lr: 2.9663e-03 eta: 1 day, 3:44:55 time: 0.7029 data_time: 0.0159 memory: 17007 grad_norm: 9.0322 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7530 loss: 1.7530 2022/07/28 18:19:24 - mmengine - INFO - Epoch(train) [115][1760/3757] lr: 2.9663e-03 eta: 1 day, 3:44:51 time: 0.7867 data_time: 0.2903 memory: 17007 grad_norm: 8.7196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7099 loss: 1.7099 2022/07/28 18:19:35 - mmengine - INFO - Epoch(train) [115][1780/3757] lr: 2.9663e-03 eta: 1 day, 3:44:45 time: 0.5818 data_time: 0.1993 memory: 17007 grad_norm: 9.0948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7448 loss: 1.7448 2022/07/28 18:19:48 - mmengine - INFO - Epoch(train) [115][1800/3757] lr: 2.9663e-03 eta: 1 day, 3:44:40 time: 0.6513 data_time: 0.0227 memory: 17007 grad_norm: 9.0264 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8365 loss: 1.8365 2022/07/28 18:19:56 - mmengine - INFO - Epoch(train) [115][1820/3757] lr: 2.9663e-03 eta: 1 day, 3:44:32 time: 0.3972 data_time: 0.0156 memory: 17007 grad_norm: 8.8401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9255 loss: 1.9255 2022/07/28 18:20:04 - mmengine - INFO - Epoch(train) [115][1840/3757] lr: 2.9663e-03 eta: 1 day, 3:44:24 time: 0.4055 data_time: 0.0146 memory: 17007 grad_norm: 8.5008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7618 loss: 1.7618 2022/07/28 18:20:12 - mmengine - INFO - Epoch(train) [115][1860/3757] lr: 2.9663e-03 eta: 1 day, 3:44:15 time: 0.3963 data_time: 0.0156 memory: 17007 grad_norm: 8.4192 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6696 loss: 1.6696 2022/07/28 18:20:20 - mmengine - INFO - Epoch(train) [115][1880/3757] lr: 2.9663e-03 eta: 1 day, 3:44:07 time: 0.4014 data_time: 0.0160 memory: 17007 grad_norm: 8.7728 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5266 loss: 1.5266 2022/07/28 18:20:28 - mmengine - INFO - Epoch(train) [115][1900/3757] lr: 2.9663e-03 eta: 1 day, 3:43:59 time: 0.3960 data_time: 0.0170 memory: 17007 grad_norm: 8.8290 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4502 loss: 1.4502 2022/07/28 18:20:36 - mmengine - INFO - Epoch(train) [115][1920/3757] lr: 2.9663e-03 eta: 1 day, 3:43:51 time: 0.3926 data_time: 0.0134 memory: 17007 grad_norm: 8.7832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5784 loss: 1.5784 2022/07/28 18:20:44 - mmengine - INFO - Epoch(train) [115][1940/3757] lr: 2.9663e-03 eta: 1 day, 3:43:43 time: 0.4103 data_time: 0.0164 memory: 17007 grad_norm: 8.6128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4662 loss: 1.4662 2022/07/28 18:20:52 - mmengine - INFO - Epoch(train) [115][1960/3757] lr: 2.9663e-03 eta: 1 day, 3:43:34 time: 0.3946 data_time: 0.0136 memory: 17007 grad_norm: 8.7774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9969 loss: 1.9969 2022/07/28 18:21:00 - mmengine - INFO - Epoch(train) [115][1980/3757] lr: 2.9663e-03 eta: 1 day, 3:43:26 time: 0.4123 data_time: 0.0176 memory: 17007 grad_norm: 8.6984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7660 loss: 1.7660 2022/07/28 18:21:08 - mmengine - INFO - Epoch(train) [115][2000/3757] lr: 2.9663e-03 eta: 1 day, 3:43:18 time: 0.3955 data_time: 0.0147 memory: 17007 grad_norm: 8.8221 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6622 loss: 1.6622 2022/07/28 18:21:16 - mmengine - INFO - Epoch(train) [115][2020/3757] lr: 2.9663e-03 eta: 1 day, 3:43:10 time: 0.3970 data_time: 0.0163 memory: 17007 grad_norm: 8.8151 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9170 loss: 1.9170 2022/07/28 18:21:25 - mmengine - INFO - Epoch(train) [115][2040/3757] lr: 2.9663e-03 eta: 1 day, 3:43:02 time: 0.4469 data_time: 0.0159 memory: 17007 grad_norm: 8.9559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9167 loss: 1.9167 2022/07/28 18:21:37 - mmengine - INFO - Epoch(train) [115][2060/3757] lr: 2.9663e-03 eta: 1 day, 3:42:57 time: 0.6046 data_time: 0.0406 memory: 17007 grad_norm: 8.4894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7408 loss: 1.7408 2022/07/28 18:21:49 - mmengine - INFO - Epoch(train) [115][2080/3757] lr: 2.9663e-03 eta: 1 day, 3:42:51 time: 0.6006 data_time: 0.0155 memory: 17007 grad_norm: 8.6157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6454 loss: 1.6454 2022/07/28 18:21:59 - mmengine - INFO - Epoch(train) [115][2100/3757] lr: 2.9663e-03 eta: 1 day, 3:42:43 time: 0.4811 data_time: 0.0225 memory: 17007 grad_norm: 8.6640 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0323 loss: 2.0323 2022/07/28 18:22:13 - mmengine - INFO - Epoch(train) [115][2120/3757] lr: 2.9663e-03 eta: 1 day, 3:42:39 time: 0.7042 data_time: 0.0173 memory: 17007 grad_norm: 8.8263 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8557 loss: 1.8557 2022/07/28 18:22:30 - mmengine - INFO - Epoch(train) [115][2140/3757] lr: 2.9663e-03 eta: 1 day, 3:42:36 time: 0.8484 data_time: 0.0191 memory: 17007 grad_norm: 8.6515 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9606 loss: 1.9606 2022/07/28 18:22:42 - mmengine - INFO - Epoch(train) [115][2160/3757] lr: 2.9663e-03 eta: 1 day, 3:42:29 time: 0.5750 data_time: 0.1072 memory: 17007 grad_norm: 8.8793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4770 loss: 1.4770 2022/07/28 18:22:55 - mmengine - INFO - Epoch(train) [115][2180/3757] lr: 2.9663e-03 eta: 1 day, 3:42:24 time: 0.6651 data_time: 0.0164 memory: 17007 grad_norm: 8.4158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7802 loss: 1.7802 2022/07/28 18:23:05 - mmengine - INFO - Epoch(train) [115][2200/3757] lr: 2.9663e-03 eta: 1 day, 3:42:17 time: 0.4913 data_time: 0.0167 memory: 17007 grad_norm: 8.8503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5984 loss: 1.5984 2022/07/28 18:23:17 - mmengine - INFO - Epoch(train) [115][2220/3757] lr: 2.9663e-03 eta: 1 day, 3:42:11 time: 0.5899 data_time: 0.1214 memory: 17007 grad_norm: 8.6123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8959 loss: 1.8959 2022/07/28 18:23:33 - mmengine - INFO - Epoch(train) [115][2240/3757] lr: 2.9663e-03 eta: 1 day, 3:42:08 time: 0.8139 data_time: 0.0155 memory: 17007 grad_norm: 8.6506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8585 loss: 1.8585 2022/07/28 18:23:46 - mmengine - INFO - Epoch(train) [115][2260/3757] lr: 2.9663e-03 eta: 1 day, 3:42:02 time: 0.6596 data_time: 0.0169 memory: 17007 grad_norm: 9.0078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8760 loss: 1.8760 2022/07/28 18:24:05 - mmengine - INFO - Epoch(train) [115][2280/3757] lr: 2.9663e-03 eta: 1 day, 3:42:00 time: 0.9298 data_time: 0.4180 memory: 17007 grad_norm: 8.7566 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6907 loss: 1.6907 2022/07/28 18:24:16 - mmengine - INFO - Epoch(train) [115][2300/3757] lr: 2.9663e-03 eta: 1 day, 3:41:54 time: 0.5863 data_time: 0.1080 memory: 17007 grad_norm: 8.1984 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4662 loss: 1.4662 2022/07/28 18:24:26 - mmengine - INFO - Epoch(train) [115][2320/3757] lr: 2.9663e-03 eta: 1 day, 3:41:47 time: 0.4860 data_time: 0.0684 memory: 17007 grad_norm: 8.1854 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9529 loss: 1.9529 2022/07/28 18:24:37 - mmengine - INFO - Epoch(train) [115][2340/3757] lr: 2.9663e-03 eta: 1 day, 3:41:41 time: 0.5538 data_time: 0.0137 memory: 17007 grad_norm: 8.4233 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8708 loss: 1.8708 2022/07/28 18:24:51 - mmengine - INFO - Epoch(train) [115][2360/3757] lr: 2.9663e-03 eta: 1 day, 3:41:36 time: 0.7068 data_time: 0.0185 memory: 17007 grad_norm: 8.7475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7597 loss: 1.7597 2022/07/28 18:25:04 - mmengine - INFO - Epoch(train) [115][2380/3757] lr: 2.9663e-03 eta: 1 day, 3:41:30 time: 0.6305 data_time: 0.1262 memory: 17007 grad_norm: 8.4766 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6504 loss: 1.6504 2022/07/28 18:25:21 - mmengine - INFO - Epoch(train) [115][2400/3757] lr: 2.9663e-03 eta: 1 day, 3:41:28 time: 0.8713 data_time: 0.0183 memory: 17007 grad_norm: 8.3475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5947 loss: 1.5947 2022/07/28 18:25:36 - mmengine - INFO - Epoch(train) [115][2420/3757] lr: 2.9663e-03 eta: 1 day, 3:41:23 time: 0.7203 data_time: 0.3215 memory: 17007 grad_norm: 8.8945 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5883 loss: 1.5883 2022/07/28 18:25:46 - mmengine - INFO - Epoch(train) [115][2440/3757] lr: 2.9663e-03 eta: 1 day, 3:41:16 time: 0.5044 data_time: 0.0260 memory: 17007 grad_norm: 8.7292 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7619 loss: 1.7619 2022/07/28 18:26:01 - mmengine - INFO - Epoch(train) [115][2460/3757] lr: 2.9663e-03 eta: 1 day, 3:41:12 time: 0.7356 data_time: 0.0155 memory: 17007 grad_norm: 8.4109 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6080 loss: 1.6080 2022/07/28 18:26:11 - mmengine - INFO - Epoch(train) [115][2480/3757] lr: 2.9663e-03 eta: 1 day, 3:41:05 time: 0.4965 data_time: 0.0161 memory: 17007 grad_norm: 8.8323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5816 loss: 1.5816 2022/07/28 18:26:27 - mmengine - INFO - Epoch(train) [115][2500/3757] lr: 2.9663e-03 eta: 1 day, 3:41:01 time: 0.8312 data_time: 0.0134 memory: 17007 grad_norm: 9.1542 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8340 loss: 1.8340 2022/07/28 18:26:38 - mmengine - INFO - Epoch(train) [115][2520/3757] lr: 2.9663e-03 eta: 1 day, 3:40:55 time: 0.5450 data_time: 0.1535 memory: 17007 grad_norm: 8.6823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5558 loss: 1.5558 2022/07/28 18:26:50 - mmengine - INFO - Epoch(train) [115][2540/3757] lr: 2.9663e-03 eta: 1 day, 3:40:49 time: 0.6029 data_time: 0.0727 memory: 17007 grad_norm: 8.7523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6319 loss: 1.6319 2022/07/28 18:27:04 - mmengine - INFO - Epoch(train) [115][2560/3757] lr: 2.9663e-03 eta: 1 day, 3:40:44 time: 0.6708 data_time: 0.0177 memory: 17007 grad_norm: 8.3908 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0595 loss: 2.0595 2022/07/28 18:27:14 - mmengine - INFO - Epoch(train) [115][2580/3757] lr: 2.9663e-03 eta: 1 day, 3:40:37 time: 0.4946 data_time: 0.0686 memory: 17007 grad_norm: 8.6984 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6723 loss: 1.6723 2022/07/28 18:27:25 - mmengine - INFO - Epoch(train) [115][2600/3757] lr: 2.9663e-03 eta: 1 day, 3:40:31 time: 0.5833 data_time: 0.0173 memory: 17007 grad_norm: 8.1624 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8027 loss: 1.8027 2022/07/28 18:27:36 - mmengine - INFO - Epoch(train) [115][2620/3757] lr: 2.9663e-03 eta: 1 day, 3:40:24 time: 0.5342 data_time: 0.0164 memory: 17007 grad_norm: 8.0824 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6405 loss: 1.6405 2022/07/28 18:27:53 - mmengine - INFO - Epoch(train) [115][2640/3757] lr: 2.9663e-03 eta: 1 day, 3:40:21 time: 0.8689 data_time: 0.0186 memory: 17007 grad_norm: 8.5385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7807 loss: 1.7807 2022/07/28 18:28:04 - mmengine - INFO - Epoch(train) [115][2660/3757] lr: 2.9663e-03 eta: 1 day, 3:40:14 time: 0.5389 data_time: 0.1069 memory: 17007 grad_norm: 8.6703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9115 loss: 1.9115 2022/07/28 18:28:17 - mmengine - INFO - Epoch(train) [115][2680/3757] lr: 2.9663e-03 eta: 1 day, 3:40:09 time: 0.6255 data_time: 0.0178 memory: 17007 grad_norm: 8.5484 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5810 loss: 1.5810 2022/07/28 18:28:31 - mmengine - INFO - Epoch(train) [115][2700/3757] lr: 2.9663e-03 eta: 1 day, 3:40:04 time: 0.7342 data_time: 0.0160 memory: 17007 grad_norm: 8.4904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6252 loss: 1.6252 2022/07/28 18:28:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 18:28:42 - mmengine - INFO - Epoch(train) [115][2720/3757] lr: 2.9663e-03 eta: 1 day, 3:39:58 time: 0.5198 data_time: 0.0163 memory: 17007 grad_norm: 8.8430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8696 loss: 1.8696 2022/07/28 18:28:57 - mmengine - INFO - Epoch(train) [115][2740/3757] lr: 2.9663e-03 eta: 1 day, 3:39:54 time: 0.7667 data_time: 0.0170 memory: 17007 grad_norm: 8.4806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7585 loss: 1.7585 2022/07/28 18:29:09 - mmengine - INFO - Epoch(train) [115][2760/3757] lr: 2.9663e-03 eta: 1 day, 3:39:48 time: 0.5991 data_time: 0.0191 memory: 17007 grad_norm: 8.4435 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7841 loss: 1.7841 2022/07/28 18:29:23 - mmengine - INFO - Epoch(train) [115][2780/3757] lr: 2.9663e-03 eta: 1 day, 3:39:43 time: 0.7157 data_time: 0.0169 memory: 17007 grad_norm: 8.5551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7349 loss: 1.7349 2022/07/28 18:29:40 - mmengine - INFO - Epoch(train) [115][2800/3757] lr: 2.9663e-03 eta: 1 day, 3:39:39 time: 0.8033 data_time: 0.0173 memory: 17007 grad_norm: 8.9769 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8771 loss: 1.8771 2022/07/28 18:29:48 - mmengine - INFO - Epoch(train) [115][2820/3757] lr: 2.9663e-03 eta: 1 day, 3:39:31 time: 0.3984 data_time: 0.0174 memory: 17007 grad_norm: 9.0601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7160 loss: 1.7160 2022/07/28 18:29:56 - mmengine - INFO - Epoch(train) [115][2840/3757] lr: 2.9663e-03 eta: 1 day, 3:39:23 time: 0.4026 data_time: 0.0139 memory: 17007 grad_norm: 8.7988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5343 loss: 1.5343 2022/07/28 18:30:04 - mmengine - INFO - Epoch(train) [115][2860/3757] lr: 2.9663e-03 eta: 1 day, 3:39:15 time: 0.3982 data_time: 0.0171 memory: 17007 grad_norm: 8.8999 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8341 loss: 1.8341 2022/07/28 18:30:12 - mmengine - INFO - Epoch(train) [115][2880/3757] lr: 2.9663e-03 eta: 1 day, 3:39:07 time: 0.4098 data_time: 0.0140 memory: 17007 grad_norm: 8.2618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8669 loss: 1.8669 2022/07/28 18:30:20 - mmengine - INFO - Epoch(train) [115][2900/3757] lr: 2.9663e-03 eta: 1 day, 3:38:59 time: 0.3973 data_time: 0.0166 memory: 17007 grad_norm: 8.6448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9282 loss: 1.9282 2022/07/28 18:30:28 - mmengine - INFO - Epoch(train) [115][2920/3757] lr: 2.9663e-03 eta: 1 day, 3:38:50 time: 0.3938 data_time: 0.0141 memory: 17007 grad_norm: 8.6374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6046 loss: 1.6046 2022/07/28 18:30:36 - mmengine - INFO - Epoch(train) [115][2940/3757] lr: 2.9663e-03 eta: 1 day, 3:38:42 time: 0.3967 data_time: 0.0164 memory: 17007 grad_norm: 8.7170 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8228 loss: 1.8228 2022/07/28 18:30:44 - mmengine - INFO - Epoch(train) [115][2960/3757] lr: 2.9663e-03 eta: 1 day, 3:38:34 time: 0.4078 data_time: 0.0145 memory: 17007 grad_norm: 9.1058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7436 loss: 1.7436 2022/07/28 18:30:52 - mmengine - INFO - Epoch(train) [115][2980/3757] lr: 2.9663e-03 eta: 1 day, 3:38:26 time: 0.4014 data_time: 0.0176 memory: 17007 grad_norm: 8.6351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3444 loss: 1.3444 2022/07/28 18:31:00 - mmengine - INFO - Epoch(train) [115][3000/3757] lr: 2.9663e-03 eta: 1 day, 3:38:18 time: 0.3975 data_time: 0.0146 memory: 17007 grad_norm: 8.6333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5797 loss: 1.5797 2022/07/28 18:31:08 - mmengine - INFO - Epoch(train) [115][3020/3757] lr: 2.9663e-03 eta: 1 day, 3:38:09 time: 0.3943 data_time: 0.0166 memory: 17007 grad_norm: 8.9185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6410 loss: 1.6410 2022/07/28 18:31:16 - mmengine - INFO - Epoch(train) [115][3040/3757] lr: 2.9663e-03 eta: 1 day, 3:38:01 time: 0.3999 data_time: 0.0150 memory: 17007 grad_norm: 9.1285 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9412 loss: 1.9412 2022/07/28 18:31:26 - mmengine - INFO - Epoch(train) [115][3060/3757] lr: 2.9663e-03 eta: 1 day, 3:37:54 time: 0.5031 data_time: 0.0187 memory: 17007 grad_norm: 8.4040 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7371 loss: 1.7371 2022/07/28 18:31:38 - mmengine - INFO - Epoch(train) [115][3080/3757] lr: 2.9663e-03 eta: 1 day, 3:37:48 time: 0.6177 data_time: 0.0189 memory: 17007 grad_norm: 8.4557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6042 loss: 1.6042 2022/07/28 18:31:57 - mmengine - INFO - Epoch(train) [115][3100/3757] lr: 2.9663e-03 eta: 1 day, 3:37:46 time: 0.9503 data_time: 0.0192 memory: 17007 grad_norm: 8.6758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5984 loss: 1.5984 2022/07/28 18:32:10 - mmengine - INFO - Epoch(train) [115][3120/3757] lr: 2.9663e-03 eta: 1 day, 3:37:41 time: 0.6351 data_time: 0.1163 memory: 17007 grad_norm: 9.2069 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7794 loss: 1.7794 2022/07/28 18:32:22 - mmengine - INFO - Epoch(train) [115][3140/3757] lr: 2.9663e-03 eta: 1 day, 3:37:35 time: 0.5932 data_time: 0.0709 memory: 17007 grad_norm: 8.5640 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7312 loss: 1.7312 2022/07/28 18:32:34 - mmengine - INFO - Epoch(train) [115][3160/3757] lr: 2.9663e-03 eta: 1 day, 3:37:29 time: 0.6065 data_time: 0.1273 memory: 17007 grad_norm: 8.9769 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6871 loss: 1.6871 2022/07/28 18:32:45 - mmengine - INFO - Epoch(train) [115][3180/3757] lr: 2.9663e-03 eta: 1 day, 3:37:23 time: 0.5523 data_time: 0.0201 memory: 17007 grad_norm: 8.8348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8861 loss: 1.8861 2022/07/28 18:33:08 - mmengine - INFO - Epoch(train) [115][3200/3757] lr: 2.9663e-03 eta: 1 day, 3:37:23 time: 1.1320 data_time: 0.0149 memory: 17007 grad_norm: 8.8460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8155 loss: 1.8155 2022/07/28 18:33:22 - mmengine - INFO - Epoch(train) [115][3220/3757] lr: 2.9663e-03 eta: 1 day, 3:37:18 time: 0.7348 data_time: 0.0173 memory: 17007 grad_norm: 8.5842 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8365 loss: 1.8365 2022/07/28 18:33:42 - mmengine - INFO - Epoch(train) [115][3240/3757] lr: 2.9663e-03 eta: 1 day, 3:37:17 time: 1.0025 data_time: 0.0170 memory: 17007 grad_norm: 8.8866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6541 loss: 1.6541 2022/07/28 18:33:54 - mmengine - INFO - Epoch(train) [115][3260/3757] lr: 2.9663e-03 eta: 1 day, 3:37:11 time: 0.5766 data_time: 0.0181 memory: 17007 grad_norm: 8.9304 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7233 loss: 1.7233 2022/07/28 18:34:09 - mmengine - INFO - Epoch(train) [115][3280/3757] lr: 2.9663e-03 eta: 1 day, 3:37:06 time: 0.7431 data_time: 0.2598 memory: 17007 grad_norm: 8.6140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9619 loss: 1.9619 2022/07/28 18:34:25 - mmengine - INFO - Epoch(train) [115][3300/3757] lr: 2.9663e-03 eta: 1 day, 3:37:03 time: 0.8089 data_time: 0.0186 memory: 17007 grad_norm: 8.6558 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8394 loss: 1.8394 2022/07/28 18:34:38 - mmengine - INFO - Epoch(train) [115][3320/3757] lr: 2.9663e-03 eta: 1 day, 3:36:57 time: 0.6383 data_time: 0.2555 memory: 17007 grad_norm: 8.9405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6768 loss: 1.6768 2022/07/28 18:34:50 - mmengine - INFO - Epoch(train) [115][3340/3757] lr: 2.9663e-03 eta: 1 day, 3:36:51 time: 0.6099 data_time: 0.1372 memory: 17007 grad_norm: 8.7824 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4927 loss: 1.4927 2022/07/28 18:35:06 - mmengine - INFO - Epoch(train) [115][3360/3757] lr: 2.9663e-03 eta: 1 day, 3:36:48 time: 0.7796 data_time: 0.0448 memory: 17007 grad_norm: 8.4028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7394 loss: 1.7394 2022/07/28 18:35:22 - mmengine - INFO - Epoch(train) [115][3380/3757] lr: 2.9663e-03 eta: 1 day, 3:36:44 time: 0.8274 data_time: 0.0158 memory: 17007 grad_norm: 8.6986 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8635 loss: 1.8635 2022/07/28 18:35:42 - mmengine - INFO - Epoch(train) [115][3400/3757] lr: 2.9663e-03 eta: 1 day, 3:36:43 time: 0.9724 data_time: 0.0162 memory: 17007 grad_norm: 8.2317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4877 loss: 1.4877 2022/07/28 18:35:54 - mmengine - INFO - Epoch(train) [115][3420/3757] lr: 2.9663e-03 eta: 1 day, 3:36:37 time: 0.6345 data_time: 0.2260 memory: 17007 grad_norm: 8.8114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9562 loss: 1.9562 2022/07/28 18:36:05 - mmengine - INFO - Epoch(train) [115][3440/3757] lr: 2.9663e-03 eta: 1 day, 3:36:31 time: 0.5579 data_time: 0.0157 memory: 17007 grad_norm: 8.8008 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5448 loss: 1.5448 2022/07/28 18:36:23 - mmengine - INFO - Epoch(train) [115][3460/3757] lr: 2.9663e-03 eta: 1 day, 3:36:28 time: 0.8696 data_time: 0.2679 memory: 17007 grad_norm: 8.8369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7884 loss: 1.7884 2022/07/28 18:36:35 - mmengine - INFO - Epoch(train) [115][3480/3757] lr: 2.9663e-03 eta: 1 day, 3:36:22 time: 0.5964 data_time: 0.0200 memory: 17007 grad_norm: 8.5286 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7018 loss: 1.7018 2022/07/28 18:36:46 - mmengine - INFO - Epoch(train) [115][3500/3757] lr: 2.9663e-03 eta: 1 day, 3:36:16 time: 0.5813 data_time: 0.0188 memory: 17007 grad_norm: 8.9844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/07/28 18:36:57 - mmengine - INFO - Epoch(train) [115][3520/3757] lr: 2.9663e-03 eta: 1 day, 3:36:09 time: 0.5089 data_time: 0.0296 memory: 17007 grad_norm: 8.8542 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1184 loss: 2.1184 2022/07/28 18:37:09 - mmengine - INFO - Epoch(train) [115][3540/3757] lr: 2.9663e-03 eta: 1 day, 3:36:03 time: 0.6272 data_time: 0.0139 memory: 17007 grad_norm: 8.4733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6181 loss: 1.6181 2022/07/28 18:37:19 - mmengine - INFO - Epoch(train) [115][3560/3757] lr: 2.9663e-03 eta: 1 day, 3:35:56 time: 0.4907 data_time: 0.0186 memory: 17007 grad_norm: 8.9604 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9234 loss: 1.9234 2022/07/28 18:37:31 - mmengine - INFO - Epoch(train) [115][3580/3757] lr: 2.9663e-03 eta: 1 day, 3:35:50 time: 0.6037 data_time: 0.0166 memory: 17007 grad_norm: 8.9589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1470 loss: 2.1470 2022/07/28 18:37:43 - mmengine - INFO - Epoch(train) [115][3600/3757] lr: 2.9663e-03 eta: 1 day, 3:35:44 time: 0.6173 data_time: 0.0159 memory: 17007 grad_norm: 8.6088 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8320 loss: 1.8320 2022/07/28 18:38:00 - mmengine - INFO - Epoch(train) [115][3620/3757] lr: 2.9663e-03 eta: 1 day, 3:35:41 time: 0.8329 data_time: 0.0168 memory: 17007 grad_norm: 8.9612 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5441 loss: 1.5441 2022/07/28 18:38:11 - mmengine - INFO - Epoch(train) [115][3640/3757] lr: 2.9663e-03 eta: 1 day, 3:35:34 time: 0.5251 data_time: 0.0193 memory: 17007 grad_norm: 8.8083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5622 loss: 1.5622 2022/07/28 18:38:24 - mmengine - INFO - Epoch(train) [115][3660/3757] lr: 2.9663e-03 eta: 1 day, 3:35:29 time: 0.6463 data_time: 0.0522 memory: 17007 grad_norm: 8.6753 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6196 loss: 1.6196 2022/07/28 18:38:32 - mmengine - INFO - Epoch(train) [115][3680/3757] lr: 2.9663e-03 eta: 1 day, 3:35:20 time: 0.4038 data_time: 0.0167 memory: 17007 grad_norm: 8.3730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8982 loss: 1.8982 2022/07/28 18:38:40 - mmengine - INFO - Epoch(train) [115][3700/3757] lr: 2.9663e-03 eta: 1 day, 3:35:12 time: 0.3947 data_time: 0.0138 memory: 17007 grad_norm: 8.4336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/07/28 18:38:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 18:38:48 - mmengine - INFO - Epoch(train) [115][3720/3757] lr: 2.9663e-03 eta: 1 day, 3:35:04 time: 0.3982 data_time: 0.0163 memory: 17007 grad_norm: 8.5268 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6167 loss: 1.6167 2022/07/28 18:38:56 - mmengine - INFO - Epoch(train) [115][3740/3757] lr: 2.9663e-03 eta: 1 day, 3:34:56 time: 0.3996 data_time: 0.0130 memory: 17007 grad_norm: 8.8300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6609 loss: 1.6609 2022/07/28 18:39:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 18:39:02 - mmengine - INFO - Epoch(train) [115][3757/3757] lr: 2.9663e-03 eta: 1 day, 3:34:56 time: 0.3925 data_time: 0.0157 memory: 17007 grad_norm: 8.8385 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4469 loss: 1.4469 2022/07/28 18:39:02 - mmengine - INFO - Saving checkpoint at 115 epochs 2022/07/28 18:39:14 - mmengine - INFO - Epoch(train) [116][20/3757] lr: 2.8869e-03 eta: 1 day, 3:34:37 time: 0.4503 data_time: 0.0717 memory: 17007 grad_norm: 8.8710 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8360 loss: 1.8360 2022/07/28 18:39:22 - mmengine - INFO - Epoch(train) [116][40/3757] lr: 2.8869e-03 eta: 1 day, 3:34:29 time: 0.3988 data_time: 0.0175 memory: 17007 grad_norm: 8.7442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6773 loss: 1.6773 2022/07/28 18:39:29 - mmengine - INFO - Epoch(train) [116][60/3757] lr: 2.8869e-03 eta: 1 day, 3:34:21 time: 0.3927 data_time: 0.0142 memory: 17007 grad_norm: 8.6652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6736 loss: 1.6736 2022/07/28 18:39:37 - mmengine - INFO - Epoch(train) [116][80/3757] lr: 2.8869e-03 eta: 1 day, 3:34:13 time: 0.3962 data_time: 0.0178 memory: 17007 grad_norm: 8.9321 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5225 loss: 1.5225 2022/07/28 18:39:45 - mmengine - INFO - Epoch(train) [116][100/3757] lr: 2.8869e-03 eta: 1 day, 3:34:04 time: 0.3972 data_time: 0.0154 memory: 17007 grad_norm: 8.5863 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5966 loss: 1.5966 2022/07/28 18:39:53 - mmengine - INFO - Epoch(train) [116][120/3757] lr: 2.8869e-03 eta: 1 day, 3:33:56 time: 0.4000 data_time: 0.0204 memory: 17007 grad_norm: 8.7772 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9351 loss: 1.9351 2022/07/28 18:40:03 - mmengine - INFO - Epoch(train) [116][140/3757] lr: 2.8869e-03 eta: 1 day, 3:33:49 time: 0.5071 data_time: 0.0129 memory: 17007 grad_norm: 8.7685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5949 loss: 1.5949 2022/07/28 18:40:14 - mmengine - INFO - Epoch(train) [116][160/3757] lr: 2.8869e-03 eta: 1 day, 3:33:42 time: 0.5421 data_time: 0.0354 memory: 17007 grad_norm: 8.6163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6096 loss: 1.6096 2022/07/28 18:40:26 - mmengine - INFO - Epoch(train) [116][180/3757] lr: 2.8869e-03 eta: 1 day, 3:33:36 time: 0.5879 data_time: 0.0157 memory: 17007 grad_norm: 8.7474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9407 loss: 1.9407 2022/07/28 18:40:36 - mmengine - INFO - Epoch(train) [116][200/3757] lr: 2.8869e-03 eta: 1 day, 3:33:29 time: 0.4981 data_time: 0.0162 memory: 17007 grad_norm: 8.4935 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1192 loss: 2.1192 2022/07/28 18:40:48 - mmengine - INFO - Epoch(train) [116][220/3757] lr: 2.8869e-03 eta: 1 day, 3:33:23 time: 0.5811 data_time: 0.0514 memory: 17007 grad_norm: 8.2989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7421 loss: 1.7421 2022/07/28 18:40:57 - mmengine - INFO - Epoch(train) [116][240/3757] lr: 2.8869e-03 eta: 1 day, 3:33:16 time: 0.4795 data_time: 0.0312 memory: 17007 grad_norm: 8.4568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5699 loss: 1.5699 2022/07/28 18:41:09 - mmengine - INFO - Epoch(train) [116][260/3757] lr: 2.8869e-03 eta: 1 day, 3:33:10 time: 0.5816 data_time: 0.0827 memory: 17007 grad_norm: 8.7511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3341 loss: 1.3341 2022/07/28 18:41:25 - mmengine - INFO - Epoch(train) [116][280/3757] lr: 2.8869e-03 eta: 1 day, 3:33:06 time: 0.7955 data_time: 0.0141 memory: 17007 grad_norm: 8.8136 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9224 loss: 1.9224 2022/07/28 18:41:38 - mmengine - INFO - Epoch(train) [116][300/3757] lr: 2.8869e-03 eta: 1 day, 3:33:00 time: 0.6356 data_time: 0.2495 memory: 17007 grad_norm: 8.9592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9785 loss: 1.9785 2022/07/28 18:41:50 - mmengine - INFO - Epoch(train) [116][320/3757] lr: 2.8869e-03 eta: 1 day, 3:32:54 time: 0.5978 data_time: 0.0147 memory: 17007 grad_norm: 8.4157 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7667 loss: 1.7667 2022/07/28 18:42:01 - mmengine - INFO - Epoch(train) [116][340/3757] lr: 2.8869e-03 eta: 1 day, 3:32:48 time: 0.5915 data_time: 0.0201 memory: 17007 grad_norm: 8.4877 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5068 loss: 1.5068 2022/07/28 18:42:12 - mmengine - INFO - Epoch(train) [116][360/3757] lr: 2.8869e-03 eta: 1 day, 3:32:42 time: 0.5488 data_time: 0.0160 memory: 17007 grad_norm: 8.7726 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7239 loss: 1.7239 2022/07/28 18:42:25 - mmengine - INFO - Epoch(train) [116][380/3757] lr: 2.8869e-03 eta: 1 day, 3:32:36 time: 0.6248 data_time: 0.0194 memory: 17007 grad_norm: 8.3985 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7408 loss: 1.7408 2022/07/28 18:42:36 - mmengine - INFO - Epoch(train) [116][400/3757] lr: 2.8869e-03 eta: 1 day, 3:32:30 time: 0.5680 data_time: 0.0175 memory: 17007 grad_norm: 8.7170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5952 loss: 1.5952 2022/07/28 18:42:48 - mmengine - INFO - Epoch(train) [116][420/3757] lr: 2.8869e-03 eta: 1 day, 3:32:23 time: 0.5626 data_time: 0.0205 memory: 17007 grad_norm: 8.6265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6992 loss: 1.6992 2022/07/28 18:43:05 - mmengine - INFO - Epoch(train) [116][440/3757] lr: 2.8869e-03 eta: 1 day, 3:32:21 time: 0.8750 data_time: 0.0146 memory: 17007 grad_norm: 8.4541 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9216 loss: 1.9216 2022/07/28 18:43:18 - mmengine - INFO - Epoch(train) [116][460/3757] lr: 2.8869e-03 eta: 1 day, 3:32:15 time: 0.6455 data_time: 0.2601 memory: 17007 grad_norm: 8.0080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5680 loss: 1.5680 2022/07/28 18:43:29 - mmengine - INFO - Epoch(train) [116][480/3757] lr: 2.8869e-03 eta: 1 day, 3:32:08 time: 0.5295 data_time: 0.0181 memory: 17007 grad_norm: 8.6901 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7874 loss: 1.7874 2022/07/28 18:43:38 - mmengine - INFO - Epoch(train) [116][500/3757] lr: 2.8869e-03 eta: 1 day, 3:32:01 time: 0.4786 data_time: 0.0910 memory: 17007 grad_norm: 8.9666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/07/28 18:43:51 - mmengine - INFO - Epoch(train) [116][520/3757] lr: 2.8869e-03 eta: 1 day, 3:31:56 time: 0.6519 data_time: 0.0150 memory: 17007 grad_norm: 8.5778 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9417 loss: 1.9417 2022/07/28 18:44:03 - mmengine - INFO - Epoch(train) [116][540/3757] lr: 2.8869e-03 eta: 1 day, 3:31:50 time: 0.6039 data_time: 0.0241 memory: 17007 grad_norm: 8.6632 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5711 loss: 1.5711 2022/07/28 18:44:26 - mmengine - INFO - Epoch(train) [116][560/3757] lr: 2.8869e-03 eta: 1 day, 3:31:50 time: 1.1099 data_time: 0.3569 memory: 17007 grad_norm: 9.0452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6144 loss: 1.6144 2022/07/28 18:44:36 - mmengine - INFO - Epoch(train) [116][580/3757] lr: 2.8869e-03 eta: 1 day, 3:31:43 time: 0.4996 data_time: 0.0180 memory: 17007 grad_norm: 8.7996 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7403 loss: 1.7403 2022/07/28 18:44:50 - mmengine - INFO - Epoch(train) [116][600/3757] lr: 2.8869e-03 eta: 1 day, 3:31:38 time: 0.7455 data_time: 0.0131 memory: 17007 grad_norm: 8.7226 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5644 loss: 1.5644 2022/07/28 18:45:08 - mmengine - INFO - Epoch(train) [116][620/3757] lr: 2.8869e-03 eta: 1 day, 3:31:35 time: 0.8637 data_time: 0.3475 memory: 17007 grad_norm: 8.5850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4871 loss: 1.4871 2022/07/28 18:45:18 - mmengine - INFO - Epoch(train) [116][640/3757] lr: 2.8869e-03 eta: 1 day, 3:31:28 time: 0.4954 data_time: 0.0853 memory: 17007 grad_norm: 8.4043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6191 loss: 1.6191 2022/07/28 18:45:28 - mmengine - INFO - Epoch(train) [116][660/3757] lr: 2.8869e-03 eta: 1 day, 3:31:21 time: 0.5066 data_time: 0.0133 memory: 17007 grad_norm: 9.0331 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7319 loss: 1.7319 2022/07/28 18:45:38 - mmengine - INFO - Epoch(train) [116][680/3757] lr: 2.8869e-03 eta: 1 day, 3:31:14 time: 0.5347 data_time: 0.0164 memory: 17007 grad_norm: 9.1352 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7930 loss: 1.7930 2022/07/28 18:45:54 - mmengine - INFO - Epoch(train) [116][700/3757] lr: 2.8869e-03 eta: 1 day, 3:31:10 time: 0.7525 data_time: 0.0170 memory: 17007 grad_norm: 8.7019 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8064 loss: 1.8064 2022/07/28 18:46:04 - mmengine - INFO - Epoch(train) [116][720/3757] lr: 2.8869e-03 eta: 1 day, 3:31:03 time: 0.5419 data_time: 0.0293 memory: 17007 grad_norm: 8.6890 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7501 loss: 1.7501 2022/07/28 18:46:17 - mmengine - INFO - Epoch(train) [116][740/3757] lr: 2.8869e-03 eta: 1 day, 3:30:58 time: 0.6109 data_time: 0.0149 memory: 17007 grad_norm: 8.6636 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5796 loss: 1.5796 2022/07/28 18:46:32 - mmengine - INFO - Epoch(train) [116][760/3757] lr: 2.8869e-03 eta: 1 day, 3:30:53 time: 0.7470 data_time: 0.0202 memory: 17007 grad_norm: 8.5333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5827 loss: 1.5827 2022/07/28 18:46:55 - mmengine - INFO - Epoch(train) [116][780/3757] lr: 2.8869e-03 eta: 1 day, 3:30:54 time: 1.1485 data_time: 0.0183 memory: 17007 grad_norm: 8.5454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7571 loss: 1.7571 2022/07/28 18:47:11 - mmengine - INFO - Epoch(train) [116][800/3757] lr: 2.8869e-03 eta: 1 day, 3:30:50 time: 0.8424 data_time: 0.0184 memory: 17007 grad_norm: 8.5495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7241 loss: 1.7241 2022/07/28 18:47:23 - mmengine - INFO - Epoch(train) [116][820/3757] lr: 2.8869e-03 eta: 1 day, 3:30:44 time: 0.6010 data_time: 0.2064 memory: 17007 grad_norm: 8.7124 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6434 loss: 1.6434 2022/07/28 18:47:35 - mmengine - INFO - Epoch(train) [116][840/3757] lr: 2.8869e-03 eta: 1 day, 3:30:38 time: 0.5825 data_time: 0.0147 memory: 17007 grad_norm: 8.6887 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7658 loss: 1.7658 2022/07/28 18:47:52 - mmengine - INFO - Epoch(train) [116][860/3757] lr: 2.8869e-03 eta: 1 day, 3:30:35 time: 0.8381 data_time: 0.0159 memory: 17007 grad_norm: 8.7415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6305 loss: 1.6305 2022/07/28 18:48:04 - mmengine - INFO - Epoch(train) [116][880/3757] lr: 2.8869e-03 eta: 1 day, 3:30:29 time: 0.5938 data_time: 0.0248 memory: 17007 grad_norm: 8.5619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5698 loss: 1.5698 2022/07/28 18:48:15 - mmengine - INFO - Epoch(train) [116][900/3757] lr: 2.8869e-03 eta: 1 day, 3:30:22 time: 0.5435 data_time: 0.0156 memory: 17007 grad_norm: 8.7290 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5180 loss: 1.5180 2022/07/28 18:48:25 - mmengine - INFO - Epoch(train) [116][920/3757] lr: 2.8869e-03 eta: 1 day, 3:30:15 time: 0.5293 data_time: 0.0164 memory: 17007 grad_norm: 8.7992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4637 loss: 1.4637 2022/07/28 18:48:37 - mmengine - INFO - Epoch(train) [116][940/3757] lr: 2.8869e-03 eta: 1 day, 3:30:10 time: 0.6029 data_time: 0.0196 memory: 17007 grad_norm: 8.8235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5730 loss: 1.5730 2022/07/28 18:48:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 18:48:48 - mmengine - INFO - Epoch(train) [116][960/3757] lr: 2.8869e-03 eta: 1 day, 3:30:03 time: 0.5113 data_time: 0.0913 memory: 17007 grad_norm: 8.4536 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9152 loss: 1.9152 2022/07/28 18:48:58 - mmengine - INFO - Epoch(train) [116][980/3757] lr: 2.8869e-03 eta: 1 day, 3:29:56 time: 0.5251 data_time: 0.0161 memory: 17007 grad_norm: 8.7054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5462 loss: 1.5462 2022/07/28 18:49:06 - mmengine - INFO - Epoch(train) [116][1000/3757] lr: 2.8869e-03 eta: 1 day, 3:29:47 time: 0.3967 data_time: 0.0160 memory: 17007 grad_norm: 8.7843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5094 loss: 1.5094 2022/07/28 18:49:14 - mmengine - INFO - Epoch(train) [116][1020/3757] lr: 2.8869e-03 eta: 1 day, 3:29:39 time: 0.3986 data_time: 0.0138 memory: 17007 grad_norm: 8.4645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/07/28 18:49:22 - mmengine - INFO - Epoch(train) [116][1040/3757] lr: 2.8869e-03 eta: 1 day, 3:29:31 time: 0.4016 data_time: 0.0171 memory: 17007 grad_norm: 8.8557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9529 loss: 1.9529 2022/07/28 18:49:30 - mmengine - INFO - Epoch(train) [116][1060/3757] lr: 2.8869e-03 eta: 1 day, 3:29:23 time: 0.3949 data_time: 0.0136 memory: 17007 grad_norm: 8.8232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9761 loss: 1.9761 2022/07/28 18:49:38 - mmengine - INFO - Epoch(train) [116][1080/3757] lr: 2.8869e-03 eta: 1 day, 3:29:15 time: 0.4002 data_time: 0.0177 memory: 17007 grad_norm: 8.6152 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6037 loss: 1.6037 2022/07/28 18:49:46 - mmengine - INFO - Epoch(train) [116][1100/3757] lr: 2.8869e-03 eta: 1 day, 3:29:06 time: 0.3957 data_time: 0.0129 memory: 17007 grad_norm: 8.8891 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9524 loss: 1.9524 2022/07/28 18:49:54 - mmengine - INFO - Epoch(train) [116][1120/3757] lr: 2.8869e-03 eta: 1 day, 3:28:58 time: 0.3983 data_time: 0.0172 memory: 17007 grad_norm: 8.5492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4167 loss: 1.4167 2022/07/28 18:50:02 - mmengine - INFO - Epoch(train) [116][1140/3757] lr: 2.8869e-03 eta: 1 day, 3:28:50 time: 0.3966 data_time: 0.0159 memory: 17007 grad_norm: 8.4870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4035 loss: 1.4035 2022/07/28 18:50:10 - mmengine - INFO - Epoch(train) [116][1160/3757] lr: 2.8869e-03 eta: 1 day, 3:28:42 time: 0.3971 data_time: 0.0160 memory: 17007 grad_norm: 8.6216 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8465 loss: 1.8465 2022/07/28 18:50:18 - mmengine - INFO - Epoch(train) [116][1180/3757] lr: 2.8869e-03 eta: 1 day, 3:28:33 time: 0.3993 data_time: 0.0155 memory: 17007 grad_norm: 8.7996 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5026 loss: 1.5026 2022/07/28 18:50:26 - mmengine - INFO - Epoch(train) [116][1200/3757] lr: 2.8869e-03 eta: 1 day, 3:28:25 time: 0.3971 data_time: 0.0173 memory: 17007 grad_norm: 8.5015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4907 loss: 1.4907 2022/07/28 18:50:36 - mmengine - INFO - Epoch(train) [116][1220/3757] lr: 2.8869e-03 eta: 1 day, 3:28:18 time: 0.5337 data_time: 0.0159 memory: 17007 grad_norm: 8.9725 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5321 loss: 1.5321 2022/07/28 18:50:47 - mmengine - INFO - Epoch(train) [116][1240/3757] lr: 2.8869e-03 eta: 1 day, 3:28:12 time: 0.5231 data_time: 0.0165 memory: 17007 grad_norm: 9.0490 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7341 loss: 1.7341 2022/07/28 18:51:08 - mmengine - INFO - Epoch(train) [116][1260/3757] lr: 2.8869e-03 eta: 1 day, 3:28:11 time: 1.0463 data_time: 0.0155 memory: 17007 grad_norm: 8.6169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9156 loss: 1.9156 2022/07/28 18:51:19 - mmengine - INFO - Epoch(train) [116][1280/3757] lr: 2.8869e-03 eta: 1 day, 3:28:04 time: 0.5436 data_time: 0.0181 memory: 17007 grad_norm: 8.6573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8470 loss: 1.8470 2022/07/28 18:51:33 - mmengine - INFO - Epoch(train) [116][1300/3757] lr: 2.8869e-03 eta: 1 day, 3:27:59 time: 0.6938 data_time: 0.0150 memory: 17007 grad_norm: 9.0149 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6447 loss: 1.6447 2022/07/28 18:51:47 - mmengine - INFO - Epoch(train) [116][1320/3757] lr: 2.8869e-03 eta: 1 day, 3:27:54 time: 0.7038 data_time: 0.2843 memory: 17007 grad_norm: 8.6859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7259 loss: 1.7259 2022/07/28 18:51:59 - mmengine - INFO - Epoch(train) [116][1340/3757] lr: 2.8869e-03 eta: 1 day, 3:27:48 time: 0.6101 data_time: 0.0179 memory: 17007 grad_norm: 8.9305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8435 loss: 1.8435 2022/07/28 18:52:09 - mmengine - INFO - Epoch(train) [116][1360/3757] lr: 2.8869e-03 eta: 1 day, 3:27:41 time: 0.4779 data_time: 0.0177 memory: 17007 grad_norm: 8.8655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4736 loss: 1.4736 2022/07/28 18:52:23 - mmengine - INFO - Epoch(train) [116][1380/3757] lr: 2.8869e-03 eta: 1 day, 3:27:37 time: 0.7476 data_time: 0.0129 memory: 17007 grad_norm: 8.7609 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8840 loss: 1.8840 2022/07/28 18:52:33 - mmengine - INFO - Epoch(train) [116][1400/3757] lr: 2.8869e-03 eta: 1 day, 3:27:29 time: 0.4944 data_time: 0.0179 memory: 17007 grad_norm: 9.1739 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9200 loss: 1.9200 2022/07/28 18:52:43 - mmengine - INFO - Epoch(train) [116][1420/3757] lr: 2.8869e-03 eta: 1 day, 3:27:22 time: 0.4960 data_time: 0.0585 memory: 17007 grad_norm: 8.6558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6401 loss: 1.6401 2022/07/28 18:52:54 - mmengine - INFO - Epoch(train) [116][1440/3757] lr: 2.8869e-03 eta: 1 day, 3:27:15 time: 0.5143 data_time: 0.0944 memory: 17007 grad_norm: 8.9162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4722 loss: 1.4722 2022/07/28 18:53:10 - mmengine - INFO - Epoch(train) [116][1460/3757] lr: 2.8869e-03 eta: 1 day, 3:27:12 time: 0.8367 data_time: 0.0154 memory: 17007 grad_norm: 8.8340 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6488 loss: 1.6488 2022/07/28 18:53:25 - mmengine - INFO - Epoch(train) [116][1480/3757] lr: 2.8869e-03 eta: 1 day, 3:27:07 time: 0.7246 data_time: 0.0199 memory: 17007 grad_norm: 8.6019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7916 loss: 1.7916 2022/07/28 18:53:37 - mmengine - INFO - Epoch(train) [116][1500/3757] lr: 2.8869e-03 eta: 1 day, 3:27:01 time: 0.5915 data_time: 0.0177 memory: 17007 grad_norm: 8.4540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8275 loss: 1.8275 2022/07/28 18:53:52 - mmengine - INFO - Epoch(train) [116][1520/3757] lr: 2.8869e-03 eta: 1 day, 3:26:57 time: 0.7678 data_time: 0.0194 memory: 17007 grad_norm: 8.5597 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8268 loss: 1.8268 2022/07/28 18:54:02 - mmengine - INFO - Epoch(train) [116][1540/3757] lr: 2.8869e-03 eta: 1 day, 3:26:50 time: 0.4998 data_time: 0.0187 memory: 17007 grad_norm: 8.7494 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3916 loss: 1.3916 2022/07/28 18:54:14 - mmengine - INFO - Epoch(train) [116][1560/3757] lr: 2.8869e-03 eta: 1 day, 3:26:44 time: 0.6152 data_time: 0.0126 memory: 17007 grad_norm: 8.9217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4939 loss: 1.4939 2022/07/28 18:54:26 - mmengine - INFO - Epoch(train) [116][1580/3757] lr: 2.8869e-03 eta: 1 day, 3:26:38 time: 0.5617 data_time: 0.0180 memory: 17007 grad_norm: 8.9532 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0597 loss: 2.0597 2022/07/28 18:54:38 - mmengine - INFO - Epoch(train) [116][1600/3757] lr: 2.8869e-03 eta: 1 day, 3:26:32 time: 0.5954 data_time: 0.0189 memory: 17007 grad_norm: 8.8981 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6451 loss: 1.6451 2022/07/28 18:54:49 - mmengine - INFO - Epoch(train) [116][1620/3757] lr: 2.8869e-03 eta: 1 day, 3:26:26 time: 0.5814 data_time: 0.0651 memory: 17007 grad_norm: 8.8240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5056 loss: 1.5056 2022/07/28 18:54:59 - mmengine - INFO - Epoch(train) [116][1640/3757] lr: 2.8869e-03 eta: 1 day, 3:26:19 time: 0.4998 data_time: 0.0174 memory: 17007 grad_norm: 8.7917 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7985 loss: 1.7985 2022/07/28 18:55:16 - mmengine - INFO - Epoch(train) [116][1660/3757] lr: 2.8869e-03 eta: 1 day, 3:26:15 time: 0.8539 data_time: 0.0175 memory: 17007 grad_norm: 8.6700 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7506 loss: 1.7506 2022/07/28 18:55:28 - mmengine - INFO - Epoch(train) [116][1680/3757] lr: 2.8869e-03 eta: 1 day, 3:26:09 time: 0.5716 data_time: 0.0177 memory: 17007 grad_norm: 8.3543 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6378 loss: 1.6378 2022/07/28 18:55:39 - mmengine - INFO - Epoch(train) [116][1700/3757] lr: 2.8869e-03 eta: 1 day, 3:26:03 time: 0.5817 data_time: 0.0177 memory: 17007 grad_norm: 8.8623 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9484 loss: 1.9484 2022/07/28 18:55:51 - mmengine - INFO - Epoch(train) [116][1720/3757] lr: 2.8869e-03 eta: 1 day, 3:25:57 time: 0.5959 data_time: 0.0144 memory: 17007 grad_norm: 8.3536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4818 loss: 1.4818 2022/07/28 18:56:03 - mmengine - INFO - Epoch(train) [116][1740/3757] lr: 2.8869e-03 eta: 1 day, 3:25:51 time: 0.5946 data_time: 0.0255 memory: 17007 grad_norm: 8.5275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5735 loss: 1.5735 2022/07/28 18:56:15 - mmengine - INFO - Epoch(train) [116][1760/3757] lr: 2.8869e-03 eta: 1 day, 3:25:45 time: 0.6050 data_time: 0.0148 memory: 17007 grad_norm: 8.6920 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8173 loss: 1.8173 2022/07/28 18:56:23 - mmengine - INFO - Epoch(train) [116][1780/3757] lr: 2.8869e-03 eta: 1 day, 3:25:37 time: 0.4017 data_time: 0.0185 memory: 17007 grad_norm: 8.7599 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6668 loss: 1.6668 2022/07/28 18:56:31 - mmengine - INFO - Epoch(train) [116][1800/3757] lr: 2.8869e-03 eta: 1 day, 3:25:28 time: 0.3945 data_time: 0.0132 memory: 17007 grad_norm: 8.7711 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8847 loss: 1.8847 2022/07/28 18:56:39 - mmengine - INFO - Epoch(train) [116][1820/3757] lr: 2.8869e-03 eta: 1 day, 3:25:20 time: 0.3960 data_time: 0.0165 memory: 17007 grad_norm: 8.5246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4691 loss: 1.4691 2022/07/28 18:56:47 - mmengine - INFO - Epoch(train) [116][1840/3757] lr: 2.8869e-03 eta: 1 day, 3:25:12 time: 0.3973 data_time: 0.0134 memory: 17007 grad_norm: 8.6791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5857 loss: 1.5857 2022/07/28 18:56:55 - mmengine - INFO - Epoch(train) [116][1860/3757] lr: 2.8869e-03 eta: 1 day, 3:25:04 time: 0.3952 data_time: 0.0162 memory: 17007 grad_norm: 8.3499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6093 loss: 1.6093 2022/07/28 18:57:03 - mmengine - INFO - Epoch(train) [116][1880/3757] lr: 2.8869e-03 eta: 1 day, 3:24:55 time: 0.4070 data_time: 0.0135 memory: 17007 grad_norm: 9.0104 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8396 loss: 1.8396 2022/07/28 18:57:11 - mmengine - INFO - Epoch(train) [116][1900/3757] lr: 2.8869e-03 eta: 1 day, 3:24:47 time: 0.3956 data_time: 0.0159 memory: 17007 grad_norm: 8.6864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6046 loss: 1.6046 2022/07/28 18:57:19 - mmengine - INFO - Epoch(train) [116][1920/3757] lr: 2.8869e-03 eta: 1 day, 3:24:39 time: 0.3945 data_time: 0.0138 memory: 17007 grad_norm: 9.1287 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5505 loss: 1.5505 2022/07/28 18:57:27 - mmengine - INFO - Epoch(train) [116][1940/3757] lr: 2.8869e-03 eta: 1 day, 3:24:31 time: 0.3990 data_time: 0.0184 memory: 17007 grad_norm: 8.8968 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6485 loss: 1.6485 2022/07/28 18:57:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 18:57:35 - mmengine - INFO - Epoch(train) [116][1960/3757] lr: 2.8869e-03 eta: 1 day, 3:24:22 time: 0.3948 data_time: 0.0136 memory: 17007 grad_norm: 8.5783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8988 loss: 1.8988 2022/07/28 18:57:43 - mmengine - INFO - Epoch(train) [116][1980/3757] lr: 2.8869e-03 eta: 1 day, 3:24:14 time: 0.3988 data_time: 0.0173 memory: 17007 grad_norm: 8.7173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5215 loss: 1.5215 2022/07/28 18:57:52 - mmengine - INFO - Epoch(train) [116][2000/3757] lr: 2.8869e-03 eta: 1 day, 3:24:06 time: 0.4305 data_time: 0.0144 memory: 17007 grad_norm: 9.2180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8886 loss: 1.8886 2022/07/28 18:58:01 - mmengine - INFO - Epoch(train) [116][2020/3757] lr: 2.8869e-03 eta: 1 day, 3:23:59 time: 0.4549 data_time: 0.0155 memory: 17007 grad_norm: 8.9509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6496 loss: 1.6496 2022/07/28 18:58:17 - mmengine - INFO - Epoch(train) [116][2040/3757] lr: 2.8869e-03 eta: 1 day, 3:23:55 time: 0.7931 data_time: 0.0154 memory: 17007 grad_norm: 9.0317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7928 loss: 1.7928 2022/07/28 18:58:29 - mmengine - INFO - Epoch(train) [116][2060/3757] lr: 2.8869e-03 eta: 1 day, 3:23:49 time: 0.6015 data_time: 0.0182 memory: 17007 grad_norm: 8.6008 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4356 loss: 1.4356 2022/07/28 18:58:45 - mmengine - INFO - Epoch(train) [116][2080/3757] lr: 2.8869e-03 eta: 1 day, 3:23:45 time: 0.8006 data_time: 0.0157 memory: 17007 grad_norm: 9.0785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6660 loss: 1.6660 2022/07/28 18:58:54 - mmengine - INFO - Epoch(train) [116][2100/3757] lr: 2.8869e-03 eta: 1 day, 3:23:38 time: 0.4911 data_time: 0.1098 memory: 17007 grad_norm: 8.8266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8648 loss: 1.8648 2022/07/28 18:59:10 - mmengine - INFO - Epoch(train) [116][2120/3757] lr: 2.8869e-03 eta: 1 day, 3:23:34 time: 0.7538 data_time: 0.0921 memory: 17007 grad_norm: 8.3865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7018 loss: 1.7018 2022/07/28 18:59:19 - mmengine - INFO - Epoch(train) [116][2140/3757] lr: 2.8869e-03 eta: 1 day, 3:23:26 time: 0.4924 data_time: 0.0158 memory: 17007 grad_norm: 8.4279 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5903 loss: 1.5903 2022/07/28 18:59:32 - mmengine - INFO - Epoch(train) [116][2160/3757] lr: 2.8869e-03 eta: 1 day, 3:23:20 time: 0.6109 data_time: 0.0127 memory: 17007 grad_norm: 8.7025 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6965 loss: 1.6965 2022/07/28 18:59:42 - mmengine - INFO - Epoch(train) [116][2180/3757] lr: 2.8869e-03 eta: 1 day, 3:23:13 time: 0.5000 data_time: 0.0158 memory: 17007 grad_norm: 8.7731 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5374 loss: 1.5374 2022/07/28 18:59:53 - mmengine - INFO - Epoch(train) [116][2200/3757] lr: 2.8869e-03 eta: 1 day, 3:23:07 time: 0.5458 data_time: 0.0755 memory: 17007 grad_norm: 8.8511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9341 loss: 1.9341 2022/07/28 19:00:06 - mmengine - INFO - Epoch(train) [116][2220/3757] lr: 2.8869e-03 eta: 1 day, 3:23:01 time: 0.6536 data_time: 0.2681 memory: 17007 grad_norm: 8.6334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7196 loss: 1.7196 2022/07/28 19:00:25 - mmengine - INFO - Epoch(train) [116][2240/3757] lr: 2.8869e-03 eta: 1 day, 3:23:00 time: 0.9756 data_time: 0.0171 memory: 17007 grad_norm: 8.5564 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6348 loss: 1.6348 2022/07/28 19:00:36 - mmengine - INFO - Epoch(train) [116][2260/3757] lr: 2.8869e-03 eta: 1 day, 3:22:53 time: 0.5293 data_time: 0.0184 memory: 17007 grad_norm: 8.6502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8714 loss: 1.8714 2022/07/28 19:00:54 - mmengine - INFO - Epoch(train) [116][2280/3757] lr: 2.8869e-03 eta: 1 day, 3:22:50 time: 0.8863 data_time: 0.0158 memory: 17007 grad_norm: 8.9206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8865 loss: 1.8865 2022/07/28 19:01:06 - mmengine - INFO - Epoch(train) [116][2300/3757] lr: 2.8869e-03 eta: 1 day, 3:22:44 time: 0.5961 data_time: 0.0205 memory: 17007 grad_norm: 9.0043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2388 loss: 2.2388 2022/07/28 19:01:22 - mmengine - INFO - Epoch(train) [116][2320/3757] lr: 2.8869e-03 eta: 1 day, 3:22:40 time: 0.8059 data_time: 0.0174 memory: 17007 grad_norm: 8.8852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6687 loss: 1.6687 2022/07/28 19:01:36 - mmengine - INFO - Epoch(train) [116][2340/3757] lr: 2.8869e-03 eta: 1 day, 3:22:35 time: 0.7145 data_time: 0.0357 memory: 17007 grad_norm: 8.8519 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8218 loss: 1.8218 2022/07/28 19:01:44 - mmengine - INFO - Epoch(train) [116][2360/3757] lr: 2.8869e-03 eta: 1 day, 3:22:27 time: 0.3948 data_time: 0.0148 memory: 17007 grad_norm: 8.7289 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9725 loss: 1.9725 2022/07/28 19:01:52 - mmengine - INFO - Epoch(train) [116][2380/3757] lr: 2.8869e-03 eta: 1 day, 3:22:19 time: 0.3933 data_time: 0.0136 memory: 17007 grad_norm: 8.9858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5515 loss: 1.5515 2022/07/28 19:02:00 - mmengine - INFO - Epoch(train) [116][2400/3757] lr: 2.8869e-03 eta: 1 day, 3:22:11 time: 0.4026 data_time: 0.0163 memory: 17007 grad_norm: 8.7653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6906 loss: 1.6906 2022/07/28 19:02:08 - mmengine - INFO - Epoch(train) [116][2420/3757] lr: 2.8869e-03 eta: 1 day, 3:22:02 time: 0.3956 data_time: 0.0149 memory: 17007 grad_norm: 8.8632 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6281 loss: 1.6281 2022/07/28 19:02:16 - mmengine - INFO - Epoch(train) [116][2440/3757] lr: 2.8869e-03 eta: 1 day, 3:21:54 time: 0.4046 data_time: 0.0197 memory: 17007 grad_norm: 8.7944 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8272 loss: 1.8272 2022/07/28 19:02:24 - mmengine - INFO - Epoch(train) [116][2460/3757] lr: 2.8869e-03 eta: 1 day, 3:21:46 time: 0.3932 data_time: 0.0147 memory: 17007 grad_norm: 8.6425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7813 loss: 1.7813 2022/07/28 19:02:32 - mmengine - INFO - Epoch(train) [116][2480/3757] lr: 2.8869e-03 eta: 1 day, 3:21:38 time: 0.3957 data_time: 0.0172 memory: 17007 grad_norm: 8.3906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5862 loss: 1.5862 2022/07/28 19:02:40 - mmengine - INFO - Epoch(train) [116][2500/3757] lr: 2.8869e-03 eta: 1 day, 3:21:29 time: 0.4073 data_time: 0.0141 memory: 17007 grad_norm: 8.7732 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7794 loss: 1.7794 2022/07/28 19:02:48 - mmengine - INFO - Epoch(train) [116][2520/3757] lr: 2.8869e-03 eta: 1 day, 3:21:21 time: 0.3967 data_time: 0.0166 memory: 17007 grad_norm: 8.7128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6630 loss: 1.6630 2022/07/28 19:02:56 - mmengine - INFO - Epoch(train) [116][2540/3757] lr: 2.8869e-03 eta: 1 day, 3:21:13 time: 0.4165 data_time: 0.0154 memory: 17007 grad_norm: 8.9088 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5269 loss: 1.5269 2022/07/28 19:03:05 - mmengine - INFO - Epoch(train) [116][2560/3757] lr: 2.8869e-03 eta: 1 day, 3:21:06 time: 0.4548 data_time: 0.0162 memory: 17007 grad_norm: 8.7381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7944 loss: 1.7944 2022/07/28 19:03:16 - mmengine - INFO - Epoch(train) [116][2580/3757] lr: 2.8869e-03 eta: 1 day, 3:20:59 time: 0.5178 data_time: 0.0167 memory: 17007 grad_norm: 9.1215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8021 loss: 1.8021 2022/07/28 19:03:27 - mmengine - INFO - Epoch(train) [116][2600/3757] lr: 2.8869e-03 eta: 1 day, 3:20:52 time: 0.5814 data_time: 0.0204 memory: 17007 grad_norm: 8.5882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7478 loss: 1.7478 2022/07/28 19:03:39 - mmengine - INFO - Epoch(train) [116][2620/3757] lr: 2.8869e-03 eta: 1 day, 3:20:46 time: 0.6069 data_time: 0.0150 memory: 17007 grad_norm: 8.6701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7381 loss: 1.7381 2022/07/28 19:03:51 - mmengine - INFO - Epoch(train) [116][2640/3757] lr: 2.8869e-03 eta: 1 day, 3:20:40 time: 0.5821 data_time: 0.1973 memory: 17007 grad_norm: 8.6490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7270 loss: 1.7270 2022/07/28 19:04:08 - mmengine - INFO - Epoch(train) [116][2660/3757] lr: 2.8869e-03 eta: 1 day, 3:20:37 time: 0.8408 data_time: 0.2189 memory: 17007 grad_norm: 8.8825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5237 loss: 1.5237 2022/07/28 19:04:27 - mmengine - INFO - Epoch(train) [116][2680/3757] lr: 2.8869e-03 eta: 1 day, 3:20:35 time: 0.9440 data_time: 0.0150 memory: 17007 grad_norm: 8.8146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7846 loss: 1.7846 2022/07/28 19:04:37 - mmengine - INFO - Epoch(train) [116][2700/3757] lr: 2.8869e-03 eta: 1 day, 3:20:28 time: 0.4961 data_time: 0.0410 memory: 17007 grad_norm: 9.1917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5341 loss: 1.5341 2022/07/28 19:04:50 - mmengine - INFO - Epoch(train) [116][2720/3757] lr: 2.8869e-03 eta: 1 day, 3:20:22 time: 0.6687 data_time: 0.0148 memory: 17007 grad_norm: 8.6533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3978 loss: 1.3978 2022/07/28 19:05:04 - mmengine - INFO - Epoch(train) [116][2740/3757] lr: 2.8869e-03 eta: 1 day, 3:20:18 time: 0.7180 data_time: 0.0139 memory: 17007 grad_norm: 8.9054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8894 loss: 1.8894 2022/07/28 19:05:20 - mmengine - INFO - Epoch(train) [116][2760/3757] lr: 2.8869e-03 eta: 1 day, 3:20:13 time: 0.7643 data_time: 0.0188 memory: 17007 grad_norm: 8.5554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8343 loss: 1.8343 2022/07/28 19:05:31 - mmengine - INFO - Epoch(train) [116][2780/3757] lr: 2.8869e-03 eta: 1 day, 3:20:07 time: 0.5408 data_time: 0.1434 memory: 17007 grad_norm: 8.8155 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8035 loss: 1.8035 2022/07/28 19:05:43 - mmengine - INFO - Epoch(train) [116][2800/3757] lr: 2.8869e-03 eta: 1 day, 3:20:01 time: 0.6256 data_time: 0.0907 memory: 17007 grad_norm: 8.9133 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8005 loss: 1.8005 2022/07/28 19:05:56 - mmengine - INFO - Epoch(train) [116][2820/3757] lr: 2.8869e-03 eta: 1 day, 3:19:55 time: 0.6396 data_time: 0.0161 memory: 17007 grad_norm: 8.5550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7226 loss: 1.7226 2022/07/28 19:06:10 - mmengine - INFO - Epoch(train) [116][2840/3757] lr: 2.8869e-03 eta: 1 day, 3:19:50 time: 0.6900 data_time: 0.0193 memory: 17007 grad_norm: 8.7689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5499 loss: 1.5499 2022/07/28 19:06:19 - mmengine - INFO - Epoch(train) [116][2860/3757] lr: 2.8869e-03 eta: 1 day, 3:19:43 time: 0.4816 data_time: 0.0188 memory: 17007 grad_norm: 9.2094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7876 loss: 1.7876 2022/07/28 19:06:32 - mmengine - INFO - Epoch(train) [116][2880/3757] lr: 2.8869e-03 eta: 1 day, 3:19:38 time: 0.6513 data_time: 0.0134 memory: 17007 grad_norm: 8.8253 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7026 loss: 1.7026 2022/07/28 19:06:46 - mmengine - INFO - Epoch(train) [116][2900/3757] lr: 2.8869e-03 eta: 1 day, 3:19:32 time: 0.6593 data_time: 0.0211 memory: 17007 grad_norm: 8.5914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6191 loss: 1.6191 2022/07/28 19:07:00 - mmengine - INFO - Epoch(train) [116][2920/3757] lr: 2.8869e-03 eta: 1 day, 3:19:28 time: 0.7442 data_time: 0.0183 memory: 17007 grad_norm: 8.4729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4177 loss: 1.4177 2022/07/28 19:07:12 - mmengine - INFO - Epoch(train) [116][2940/3757] lr: 2.8869e-03 eta: 1 day, 3:19:22 time: 0.5985 data_time: 0.0218 memory: 17007 grad_norm: 8.4401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5738 loss: 1.5738 2022/07/28 19:07:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 19:07:22 - mmengine - INFO - Epoch(train) [116][2960/3757] lr: 2.8869e-03 eta: 1 day, 3:19:15 time: 0.4960 data_time: 0.0308 memory: 17007 grad_norm: 8.2202 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7634 loss: 1.7634 2022/07/28 19:07:34 - mmengine - INFO - Epoch(train) [116][2980/3757] lr: 2.8869e-03 eta: 1 day, 3:19:08 time: 0.5915 data_time: 0.0821 memory: 17007 grad_norm: 8.6436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4374 loss: 1.4374 2022/07/28 19:07:46 - mmengine - INFO - Epoch(train) [116][3000/3757] lr: 2.8869e-03 eta: 1 day, 3:19:02 time: 0.5779 data_time: 0.1278 memory: 17007 grad_norm: 8.7967 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6897 loss: 1.6897 2022/07/28 19:07:56 - mmengine - INFO - Epoch(train) [116][3020/3757] lr: 2.8869e-03 eta: 1 day, 3:18:55 time: 0.5148 data_time: 0.0169 memory: 17007 grad_norm: 8.6375 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8673 loss: 1.8673 2022/07/28 19:08:07 - mmengine - INFO - Epoch(train) [116][3040/3757] lr: 2.8869e-03 eta: 1 day, 3:18:49 time: 0.5457 data_time: 0.0158 memory: 17007 grad_norm: 8.9893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6580 loss: 1.6580 2022/07/28 19:08:23 - mmengine - INFO - Epoch(train) [116][3060/3757] lr: 2.8869e-03 eta: 1 day, 3:18:45 time: 0.7914 data_time: 0.0198 memory: 17007 grad_norm: 9.1451 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5926 loss: 1.5926 2022/07/28 19:08:35 - mmengine - INFO - Epoch(train) [116][3080/3757] lr: 2.8869e-03 eta: 1 day, 3:18:39 time: 0.5934 data_time: 0.0227 memory: 17007 grad_norm: 8.9904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7617 loss: 1.7617 2022/07/28 19:08:45 - mmengine - INFO - Epoch(train) [116][3100/3757] lr: 2.8869e-03 eta: 1 day, 3:18:32 time: 0.5044 data_time: 0.0196 memory: 17007 grad_norm: 8.9996 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1347 loss: 2.1347 2022/07/28 19:09:03 - mmengine - INFO - Epoch(train) [116][3120/3757] lr: 2.8869e-03 eta: 1 day, 3:18:29 time: 0.8817 data_time: 0.4135 memory: 17007 grad_norm: 8.7420 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9484 loss: 1.9484 2022/07/28 19:09:16 - mmengine - INFO - Epoch(train) [116][3140/3757] lr: 2.8869e-03 eta: 1 day, 3:18:23 time: 0.6591 data_time: 0.2700 memory: 17007 grad_norm: 9.1264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8520 loss: 1.8520 2022/07/28 19:09:33 - mmengine - INFO - Epoch(train) [116][3160/3757] lr: 2.8869e-03 eta: 1 day, 3:18:20 time: 0.8476 data_time: 0.0166 memory: 17007 grad_norm: 8.8051 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6940 loss: 1.6940 2022/07/28 19:09:43 - mmengine - INFO - Epoch(train) [116][3180/3757] lr: 2.8869e-03 eta: 1 day, 3:18:13 time: 0.5115 data_time: 0.0211 memory: 17007 grad_norm: 8.7771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4625 loss: 1.4625 2022/07/28 19:09:53 - mmengine - INFO - Epoch(train) [116][3200/3757] lr: 2.8869e-03 eta: 1 day, 3:18:06 time: 0.4857 data_time: 0.0238 memory: 17007 grad_norm: 9.0491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7886 loss: 1.7886 2022/07/28 19:10:04 - mmengine - INFO - Epoch(train) [116][3220/3757] lr: 2.8869e-03 eta: 1 day, 3:17:59 time: 0.5508 data_time: 0.0898 memory: 17007 grad_norm: 8.6595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6015 loss: 1.6015 2022/07/28 19:10:22 - mmengine - INFO - Epoch(train) [116][3240/3757] lr: 2.8869e-03 eta: 1 day, 3:17:56 time: 0.8935 data_time: 0.0679 memory: 17007 grad_norm: 8.2883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8444 loss: 1.8444 2022/07/28 19:10:29 - mmengine - INFO - Epoch(train) [116][3260/3757] lr: 2.8869e-03 eta: 1 day, 3:17:48 time: 0.3962 data_time: 0.0162 memory: 17007 grad_norm: 8.2311 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7246 loss: 1.7246 2022/07/28 19:10:38 - mmengine - INFO - Epoch(train) [116][3280/3757] lr: 2.8869e-03 eta: 1 day, 3:17:40 time: 0.4165 data_time: 0.0131 memory: 17007 grad_norm: 8.5382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4785 loss: 1.4785 2022/07/28 19:10:46 - mmengine - INFO - Epoch(train) [116][3300/3757] lr: 2.8869e-03 eta: 1 day, 3:17:32 time: 0.4005 data_time: 0.0180 memory: 17007 grad_norm: 8.9486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6605 loss: 1.6605 2022/07/28 19:10:54 - mmengine - INFO - Epoch(train) [116][3320/3757] lr: 2.8869e-03 eta: 1 day, 3:17:24 time: 0.4251 data_time: 0.0150 memory: 17007 grad_norm: 8.7041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6511 loss: 1.6511 2022/07/28 19:11:02 - mmengine - INFO - Epoch(train) [116][3340/3757] lr: 2.8869e-03 eta: 1 day, 3:17:16 time: 0.3959 data_time: 0.0169 memory: 17007 grad_norm: 8.7782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7699 loss: 1.7699 2022/07/28 19:11:10 - mmengine - INFO - Epoch(train) [116][3360/3757] lr: 2.8869e-03 eta: 1 day, 3:17:07 time: 0.3942 data_time: 0.0145 memory: 17007 grad_norm: 9.0877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7085 loss: 1.7085 2022/07/28 19:11:18 - mmengine - INFO - Epoch(train) [116][3380/3757] lr: 2.8869e-03 eta: 1 day, 3:16:59 time: 0.4002 data_time: 0.0171 memory: 17007 grad_norm: 8.5947 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0458 loss: 2.0458 2022/07/28 19:11:26 - mmengine - INFO - Epoch(train) [116][3400/3757] lr: 2.8869e-03 eta: 1 day, 3:16:51 time: 0.3936 data_time: 0.0135 memory: 17007 grad_norm: 8.6393 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9211 loss: 1.9211 2022/07/28 19:11:34 - mmengine - INFO - Epoch(train) [116][3420/3757] lr: 2.8869e-03 eta: 1 day, 3:16:42 time: 0.4032 data_time: 0.0176 memory: 17007 grad_norm: 8.8070 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6936 loss: 1.6936 2022/07/28 19:11:42 - mmengine - INFO - Epoch(train) [116][3440/3757] lr: 2.8869e-03 eta: 1 day, 3:16:34 time: 0.3946 data_time: 0.0135 memory: 17007 grad_norm: 9.1647 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0014 loss: 2.0014 2022/07/28 19:11:50 - mmengine - INFO - Epoch(train) [116][3460/3757] lr: 2.8869e-03 eta: 1 day, 3:16:26 time: 0.3937 data_time: 0.0153 memory: 17007 grad_norm: 8.9640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5784 loss: 1.5784 2022/07/28 19:12:01 - mmengine - INFO - Epoch(train) [116][3480/3757] lr: 2.8869e-03 eta: 1 day, 3:16:19 time: 0.5315 data_time: 0.0155 memory: 17007 grad_norm: 8.8794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8044 loss: 1.8044 2022/07/28 19:12:11 - mmengine - INFO - Epoch(train) [116][3500/3757] lr: 2.8869e-03 eta: 1 day, 3:16:12 time: 0.5228 data_time: 0.0162 memory: 17007 grad_norm: 8.7472 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9066 loss: 1.9066 2022/07/28 19:12:24 - mmengine - INFO - Epoch(train) [116][3520/3757] lr: 2.8869e-03 eta: 1 day, 3:16:07 time: 0.6667 data_time: 0.1914 memory: 17007 grad_norm: 8.8766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9334 loss: 1.9334 2022/07/28 19:12:38 - mmengine - INFO - Epoch(train) [116][3540/3757] lr: 2.8869e-03 eta: 1 day, 3:16:02 time: 0.6766 data_time: 0.0197 memory: 17007 grad_norm: 9.1415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0398 loss: 2.0398 2022/07/28 19:12:50 - mmengine - INFO - Epoch(train) [116][3560/3757] lr: 2.8869e-03 eta: 1 day, 3:15:55 time: 0.5887 data_time: 0.0228 memory: 17007 grad_norm: 8.6951 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9942 loss: 1.9942 2022/07/28 19:13:05 - mmengine - INFO - Epoch(train) [116][3580/3757] lr: 2.8869e-03 eta: 1 day, 3:15:51 time: 0.7535 data_time: 0.3332 memory: 17007 grad_norm: 9.0800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8264 loss: 1.8264 2022/07/28 19:13:17 - mmengine - INFO - Epoch(train) [116][3600/3757] lr: 2.8869e-03 eta: 1 day, 3:15:45 time: 0.5923 data_time: 0.1055 memory: 17007 grad_norm: 8.5653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/07/28 19:13:29 - mmengine - INFO - Epoch(train) [116][3620/3757] lr: 2.8869e-03 eta: 1 day, 3:15:39 time: 0.6015 data_time: 0.0249 memory: 17007 grad_norm: 8.9089 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6732 loss: 1.6732 2022/07/28 19:13:44 - mmengine - INFO - Epoch(train) [116][3640/3757] lr: 2.8869e-03 eta: 1 day, 3:15:35 time: 0.7652 data_time: 0.0159 memory: 17007 grad_norm: 8.6239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8050 loss: 1.8050 2022/07/28 19:13:57 - mmengine - INFO - Epoch(train) [116][3660/3757] lr: 2.8869e-03 eta: 1 day, 3:15:29 time: 0.6277 data_time: 0.0189 memory: 17007 grad_norm: 8.6109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6375 loss: 1.6375 2022/07/28 19:14:14 - mmengine - INFO - Epoch(train) [116][3680/3757] lr: 2.8869e-03 eta: 1 day, 3:15:26 time: 0.8666 data_time: 0.0176 memory: 17007 grad_norm: 8.7095 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8114 loss: 1.8114 2022/07/28 19:14:26 - mmengine - INFO - Epoch(train) [116][3700/3757] lr: 2.8869e-03 eta: 1 day, 3:15:20 time: 0.5835 data_time: 0.0166 memory: 17007 grad_norm: 8.9390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7817 loss: 1.7817 2022/07/28 19:14:37 - mmengine - INFO - Epoch(train) [116][3720/3757] lr: 2.8869e-03 eta: 1 day, 3:15:14 time: 0.5905 data_time: 0.0165 memory: 17007 grad_norm: 8.7432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4001 loss: 1.4001 2022/07/28 19:14:51 - mmengine - INFO - Epoch(train) [116][3740/3757] lr: 2.8869e-03 eta: 1 day, 3:15:09 time: 0.6872 data_time: 0.1505 memory: 17007 grad_norm: 8.6735 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6302 loss: 1.6302 2022/07/28 19:14:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 19:14:59 - mmengine - INFO - Epoch(train) [116][3757/3757] lr: 2.8869e-03 eta: 1 day, 3:15:09 time: 0.5208 data_time: 0.1057 memory: 17007 grad_norm: 8.2351 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4570 loss: 1.4570 2022/07/28 19:14:59 - mmengine - INFO - Saving checkpoint at 116 epochs 2022/07/28 19:15:23 - mmengine - INFO - Epoch(train) [117][20/3757] lr: 2.8081e-03 eta: 1 day, 3:14:57 time: 1.0655 data_time: 0.0991 memory: 17007 grad_norm: 8.6104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5652 loss: 1.5652 2022/07/28 19:15:33 - mmengine - INFO - Epoch(train) [117][40/3757] lr: 2.8081e-03 eta: 1 day, 3:14:50 time: 0.5100 data_time: 0.0220 memory: 17007 grad_norm: 8.5682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5029 loss: 1.5029 2022/07/28 19:15:51 - mmengine - INFO - Epoch(train) [117][60/3757] lr: 2.8081e-03 eta: 1 day, 3:14:47 time: 0.9025 data_time: 0.0182 memory: 17007 grad_norm: 8.7253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5596 loss: 1.5596 2022/07/28 19:16:03 - mmengine - INFO - Epoch(train) [117][80/3757] lr: 2.8081e-03 eta: 1 day, 3:14:41 time: 0.5909 data_time: 0.0207 memory: 17007 grad_norm: 8.5233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5704 loss: 1.5704 2022/07/28 19:16:17 - mmengine - INFO - Epoch(train) [117][100/3757] lr: 2.8081e-03 eta: 1 day, 3:14:36 time: 0.7337 data_time: 0.1995 memory: 17007 grad_norm: 8.3699 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5567 loss: 1.5567 2022/07/28 19:16:32 - mmengine - INFO - Epoch(train) [117][120/3757] lr: 2.8081e-03 eta: 1 day, 3:14:32 time: 0.7130 data_time: 0.2813 memory: 17007 grad_norm: 8.6153 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5524 loss: 1.5524 2022/07/28 19:16:46 - mmengine - INFO - Epoch(train) [117][140/3757] lr: 2.8081e-03 eta: 1 day, 3:14:27 time: 0.7252 data_time: 0.0181 memory: 17007 grad_norm: 8.7773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4547 loss: 1.4547 2022/07/28 19:16:57 - mmengine - INFO - Epoch(train) [117][160/3757] lr: 2.8081e-03 eta: 1 day, 3:14:20 time: 0.5276 data_time: 0.0179 memory: 17007 grad_norm: 8.6289 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6290 loss: 1.6290 2022/07/28 19:17:08 - mmengine - INFO - Epoch(train) [117][180/3757] lr: 2.8081e-03 eta: 1 day, 3:14:14 time: 0.5759 data_time: 0.0191 memory: 17007 grad_norm: 8.4611 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6433 loss: 1.6433 2022/07/28 19:17:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 19:17:18 - mmengine - INFO - Epoch(train) [117][200/3757] lr: 2.8081e-03 eta: 1 day, 3:14:07 time: 0.4902 data_time: 0.0165 memory: 17007 grad_norm: 8.5505 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7021 loss: 1.7021 2022/07/28 19:17:30 - mmengine - INFO - Epoch(train) [117][220/3757] lr: 2.8081e-03 eta: 1 day, 3:14:01 time: 0.6088 data_time: 0.0153 memory: 17007 grad_norm: 9.0696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7082 loss: 1.7082 2022/07/28 19:17:43 - mmengine - INFO - Epoch(train) [117][240/3757] lr: 2.8081e-03 eta: 1 day, 3:13:55 time: 0.6081 data_time: 0.0153 memory: 17007 grad_norm: 9.0706 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6673 loss: 1.6673 2022/07/28 19:17:54 - mmengine - INFO - Epoch(train) [117][260/3757] lr: 2.8081e-03 eta: 1 day, 3:13:48 time: 0.5751 data_time: 0.0193 memory: 17007 grad_norm: 8.7408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7051 loss: 1.7051 2022/07/28 19:18:12 - mmengine - INFO - Epoch(train) [117][280/3757] lr: 2.8081e-03 eta: 1 day, 3:13:45 time: 0.8870 data_time: 0.0243 memory: 17007 grad_norm: 8.7191 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7944 loss: 1.7944 2022/07/28 19:18:23 - mmengine - INFO - Epoch(train) [117][300/3757] lr: 2.8081e-03 eta: 1 day, 3:13:39 time: 0.5415 data_time: 0.1586 memory: 17007 grad_norm: 8.5059 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4482 loss: 1.4482 2022/07/28 19:18:33 - mmengine - INFO - Epoch(train) [117][320/3757] lr: 2.8081e-03 eta: 1 day, 3:13:32 time: 0.5060 data_time: 0.0154 memory: 17007 grad_norm: 8.2265 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4217 loss: 1.4217 2022/07/28 19:18:45 - mmengine - INFO - Epoch(train) [117][340/3757] lr: 2.8081e-03 eta: 1 day, 3:13:26 time: 0.5983 data_time: 0.0161 memory: 17007 grad_norm: 8.4213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4678 loss: 1.4678 2022/07/28 19:18:57 - mmengine - INFO - Epoch(train) [117][360/3757] lr: 2.8081e-03 eta: 1 day, 3:13:20 time: 0.6192 data_time: 0.0167 memory: 17007 grad_norm: 8.7589 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7629 loss: 1.7629 2022/07/28 19:19:08 - mmengine - INFO - Epoch(train) [117][380/3757] lr: 2.8081e-03 eta: 1 day, 3:13:13 time: 0.5589 data_time: 0.0185 memory: 17007 grad_norm: 8.5709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7195 loss: 1.7195 2022/07/28 19:19:24 - mmengine - INFO - Epoch(train) [117][400/3757] lr: 2.8081e-03 eta: 1 day, 3:13:09 time: 0.7705 data_time: 0.0172 memory: 17007 grad_norm: 8.9246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7868 loss: 1.7868 2022/07/28 19:19:39 - mmengine - INFO - Epoch(train) [117][420/3757] lr: 2.8081e-03 eta: 1 day, 3:13:05 time: 0.7384 data_time: 0.0195 memory: 17007 grad_norm: 8.8899 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8592 loss: 1.8592 2022/07/28 19:19:49 - mmengine - INFO - Epoch(train) [117][440/3757] lr: 2.8081e-03 eta: 1 day, 3:12:57 time: 0.5023 data_time: 0.0143 memory: 17007 grad_norm: 8.6163 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5262 loss: 1.5262 2022/07/28 19:20:00 - mmengine - INFO - Epoch(train) [117][460/3757] lr: 2.8081e-03 eta: 1 day, 3:12:51 time: 0.5637 data_time: 0.0210 memory: 17007 grad_norm: 8.8979 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6533 loss: 1.6533 2022/07/28 19:20:17 - mmengine - INFO - Epoch(train) [117][480/3757] lr: 2.8081e-03 eta: 1 day, 3:12:48 time: 0.8541 data_time: 0.0185 memory: 17007 grad_norm: 8.8373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5174 loss: 1.5174 2022/07/28 19:20:25 - mmengine - INFO - Epoch(train) [117][500/3757] lr: 2.8081e-03 eta: 1 day, 3:12:39 time: 0.3956 data_time: 0.0168 memory: 17007 grad_norm: 8.8693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7461 loss: 1.7461 2022/07/28 19:20:33 - mmengine - INFO - Epoch(train) [117][520/3757] lr: 2.8081e-03 eta: 1 day, 3:12:31 time: 0.3946 data_time: 0.0139 memory: 17007 grad_norm: 9.0527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4511 loss: 1.4511 2022/07/28 19:20:42 - mmengine - INFO - Epoch(train) [117][540/3757] lr: 2.8081e-03 eta: 1 day, 3:12:23 time: 0.4515 data_time: 0.0187 memory: 17007 grad_norm: 8.8238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4716 loss: 1.4716 2022/07/28 19:20:50 - mmengine - INFO - Epoch(train) [117][560/3757] lr: 2.8081e-03 eta: 1 day, 3:12:15 time: 0.3946 data_time: 0.0140 memory: 17007 grad_norm: 8.8117 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8399 loss: 1.8399 2022/07/28 19:20:58 - mmengine - INFO - Epoch(train) [117][580/3757] lr: 2.8081e-03 eta: 1 day, 3:12:07 time: 0.4311 data_time: 0.0152 memory: 17007 grad_norm: 8.8270 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8058 loss: 1.8058 2022/07/28 19:21:06 - mmengine - INFO - Epoch(train) [117][600/3757] lr: 2.8081e-03 eta: 1 day, 3:11:59 time: 0.3966 data_time: 0.0141 memory: 17007 grad_norm: 8.7435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4588 loss: 1.4588 2022/07/28 19:21:14 - mmengine - INFO - Epoch(train) [117][620/3757] lr: 2.8081e-03 eta: 1 day, 3:11:51 time: 0.4027 data_time: 0.0182 memory: 17007 grad_norm: 8.7596 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6817 loss: 1.6817 2022/07/28 19:21:22 - mmengine - INFO - Epoch(train) [117][640/3757] lr: 2.8081e-03 eta: 1 day, 3:11:42 time: 0.3934 data_time: 0.0143 memory: 17007 grad_norm: 8.8825 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7140 loss: 1.7140 2022/07/28 19:21:31 - mmengine - INFO - Epoch(train) [117][660/3757] lr: 2.8081e-03 eta: 1 day, 3:11:34 time: 0.4403 data_time: 0.0179 memory: 17007 grad_norm: 8.7856 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6115 loss: 1.6115 2022/07/28 19:21:39 - mmengine - INFO - Epoch(train) [117][680/3757] lr: 2.8081e-03 eta: 1 day, 3:11:26 time: 0.3946 data_time: 0.0139 memory: 17007 grad_norm: 8.5996 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5228 loss: 1.5228 2022/07/28 19:21:47 - mmengine - INFO - Epoch(train) [117][700/3757] lr: 2.8081e-03 eta: 1 day, 3:11:18 time: 0.4004 data_time: 0.0174 memory: 17007 grad_norm: 8.6376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6437 loss: 1.6437 2022/07/28 19:21:56 - mmengine - INFO - Epoch(train) [117][720/3757] lr: 2.8081e-03 eta: 1 day, 3:11:10 time: 0.4415 data_time: 0.0148 memory: 17007 grad_norm: 8.7317 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7640 loss: 1.7640 2022/07/28 19:22:07 - mmengine - INFO - Epoch(train) [117][740/3757] lr: 2.8081e-03 eta: 1 day, 3:11:03 time: 0.5400 data_time: 0.0196 memory: 17007 grad_norm: 8.7607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7135 loss: 1.7135 2022/07/28 19:22:18 - mmengine - INFO - Epoch(train) [117][760/3757] lr: 2.8081e-03 eta: 1 day, 3:10:57 time: 0.5810 data_time: 0.0751 memory: 17007 grad_norm: 8.7469 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8641 loss: 1.8641 2022/07/28 19:22:30 - mmengine - INFO - Epoch(train) [117][780/3757] lr: 2.8081e-03 eta: 1 day, 3:10:51 time: 0.5721 data_time: 0.0176 memory: 17007 grad_norm: 8.8561 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8001 loss: 1.8001 2022/07/28 19:22:42 - mmengine - INFO - Epoch(train) [117][800/3757] lr: 2.8081e-03 eta: 1 day, 3:10:45 time: 0.6038 data_time: 0.0398 memory: 17007 grad_norm: 8.6479 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6118 loss: 1.6118 2022/07/28 19:22:52 - mmengine - INFO - Epoch(train) [117][820/3757] lr: 2.8081e-03 eta: 1 day, 3:10:38 time: 0.4981 data_time: 0.0212 memory: 17007 grad_norm: 8.8431 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7064 loss: 1.7064 2022/07/28 19:23:04 - mmengine - INFO - Epoch(train) [117][840/3757] lr: 2.8081e-03 eta: 1 day, 3:10:31 time: 0.5869 data_time: 0.0130 memory: 17007 grad_norm: 8.6618 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8281 loss: 1.8281 2022/07/28 19:23:16 - mmengine - INFO - Epoch(train) [117][860/3757] lr: 2.8081e-03 eta: 1 day, 3:10:26 time: 0.6286 data_time: 0.0332 memory: 17007 grad_norm: 8.8742 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6994 loss: 1.6994 2022/07/28 19:23:27 - mmengine - INFO - Epoch(train) [117][880/3757] lr: 2.8081e-03 eta: 1 day, 3:10:19 time: 0.5266 data_time: 0.0141 memory: 17007 grad_norm: 8.3864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2330 loss: 1.2330 2022/07/28 19:23:37 - mmengine - INFO - Epoch(train) [117][900/3757] lr: 2.8081e-03 eta: 1 day, 3:10:12 time: 0.5303 data_time: 0.0944 memory: 17007 grad_norm: 9.0783 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7177 loss: 1.7177 2022/07/28 19:23:47 - mmengine - INFO - Epoch(train) [117][920/3757] lr: 2.8081e-03 eta: 1 day, 3:10:05 time: 0.4827 data_time: 0.0162 memory: 17007 grad_norm: 8.8112 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8993 loss: 1.8993 2022/07/28 19:23:58 - mmengine - INFO - Epoch(train) [117][940/3757] lr: 2.8081e-03 eta: 1 day, 3:09:58 time: 0.5389 data_time: 0.1149 memory: 17007 grad_norm: 8.9652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7760 loss: 1.7760 2022/07/28 19:24:10 - mmengine - INFO - Epoch(train) [117][960/3757] lr: 2.8081e-03 eta: 1 day, 3:09:52 time: 0.5925 data_time: 0.0170 memory: 17007 grad_norm: 9.0819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6553 loss: 1.6553 2022/07/28 19:24:22 - mmengine - INFO - Epoch(train) [117][980/3757] lr: 2.8081e-03 eta: 1 day, 3:09:46 time: 0.5966 data_time: 0.0148 memory: 17007 grad_norm: 8.2564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5399 loss: 1.5399 2022/07/28 19:24:33 - mmengine - INFO - Epoch(train) [117][1000/3757] lr: 2.8081e-03 eta: 1 day, 3:09:39 time: 0.5875 data_time: 0.0178 memory: 17007 grad_norm: 8.3923 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4006 loss: 1.4006 2022/07/28 19:24:45 - mmengine - INFO - Epoch(train) [117][1020/3757] lr: 2.8081e-03 eta: 1 day, 3:09:33 time: 0.5788 data_time: 0.0184 memory: 17007 grad_norm: 8.4304 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9921 loss: 1.9921 2022/07/28 19:24:55 - mmengine - INFO - Epoch(train) [117][1040/3757] lr: 2.8081e-03 eta: 1 day, 3:09:26 time: 0.5048 data_time: 0.0364 memory: 17007 grad_norm: 8.7683 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0610 loss: 2.0610 2022/07/28 19:25:12 - mmengine - INFO - Epoch(train) [117][1060/3757] lr: 2.8081e-03 eta: 1 day, 3:09:22 time: 0.8325 data_time: 0.0194 memory: 17007 grad_norm: 8.5730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7338 loss: 1.7338 2022/07/28 19:25:23 - mmengine - INFO - Epoch(train) [117][1080/3757] lr: 2.8081e-03 eta: 1 day, 3:09:16 time: 0.5795 data_time: 0.1089 memory: 17007 grad_norm: 8.6278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8914 loss: 1.8914 2022/07/28 19:25:38 - mmengine - INFO - Epoch(train) [117][1100/3757] lr: 2.8081e-03 eta: 1 day, 3:09:11 time: 0.7084 data_time: 0.0154 memory: 17007 grad_norm: 9.1213 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6024 loss: 1.6024 2022/07/28 19:25:56 - mmengine - INFO - Epoch(train) [117][1120/3757] lr: 2.8081e-03 eta: 1 day, 3:09:09 time: 0.9417 data_time: 0.0206 memory: 17007 grad_norm: 8.8479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4746 loss: 1.4746 2022/07/28 19:26:11 - mmengine - INFO - Epoch(train) [117][1140/3757] lr: 2.8081e-03 eta: 1 day, 3:09:04 time: 0.7350 data_time: 0.3361 memory: 17007 grad_norm: 8.6221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5116 loss: 1.5116 2022/07/28 19:26:23 - mmengine - INFO - Epoch(train) [117][1160/3757] lr: 2.8081e-03 eta: 1 day, 3:08:58 time: 0.6142 data_time: 0.0942 memory: 17007 grad_norm: 8.7783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8589 loss: 1.8589 2022/07/28 19:26:35 - mmengine - INFO - Epoch(train) [117][1180/3757] lr: 2.8081e-03 eta: 1 day, 3:08:52 time: 0.5757 data_time: 0.1854 memory: 17007 grad_norm: 8.9091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8793 loss: 1.8793 2022/07/28 19:26:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 19:26:48 - mmengine - INFO - Epoch(train) [117][1200/3757] lr: 2.8081e-03 eta: 1 day, 3:08:47 time: 0.6481 data_time: 0.0154 memory: 17007 grad_norm: 9.0867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8127 loss: 1.8127 2022/07/28 19:26:59 - mmengine - INFO - Epoch(train) [117][1220/3757] lr: 2.8081e-03 eta: 1 day, 3:08:40 time: 0.5498 data_time: 0.0184 memory: 17007 grad_norm: 8.6332 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8353 loss: 1.8353 2022/07/28 19:27:11 - mmengine - INFO - Epoch(train) [117][1240/3757] lr: 2.8081e-03 eta: 1 day, 3:08:34 time: 0.5897 data_time: 0.0412 memory: 17007 grad_norm: 8.6774 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7956 loss: 1.7956 2022/07/28 19:27:23 - mmengine - INFO - Epoch(train) [117][1260/3757] lr: 2.8081e-03 eta: 1 day, 3:08:28 time: 0.5948 data_time: 0.0869 memory: 17007 grad_norm: 8.4730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6131 loss: 1.6131 2022/07/28 19:27:34 - mmengine - INFO - Epoch(train) [117][1280/3757] lr: 2.8081e-03 eta: 1 day, 3:08:21 time: 0.5833 data_time: 0.0407 memory: 17007 grad_norm: 8.4126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3731 loss: 1.3731 2022/07/28 19:27:48 - mmengine - INFO - Epoch(train) [117][1300/3757] lr: 2.8081e-03 eta: 1 day, 3:08:16 time: 0.6834 data_time: 0.0178 memory: 17007 grad_norm: 9.1419 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0216 loss: 2.0216 2022/07/28 19:28:01 - mmengine - INFO - Epoch(train) [117][1320/3757] lr: 2.8081e-03 eta: 1 day, 3:08:10 time: 0.6289 data_time: 0.0179 memory: 17007 grad_norm: 8.3538 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4197 loss: 1.4197 2022/07/28 19:28:11 - mmengine - INFO - Epoch(train) [117][1340/3757] lr: 2.8081e-03 eta: 1 day, 3:08:04 time: 0.5430 data_time: 0.0193 memory: 17007 grad_norm: 8.7175 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7527 loss: 1.7527 2022/07/28 19:28:25 - mmengine - INFO - Epoch(train) [117][1360/3757] lr: 2.8081e-03 eta: 1 day, 3:07:59 time: 0.6861 data_time: 0.0170 memory: 17007 grad_norm: 8.6265 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8274 loss: 1.8274 2022/07/28 19:28:35 - mmengine - INFO - Epoch(train) [117][1380/3757] lr: 2.8081e-03 eta: 1 day, 3:07:51 time: 0.4972 data_time: 0.0172 memory: 17007 grad_norm: 8.9439 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9871 loss: 1.9871 2022/07/28 19:28:48 - mmengine - INFO - Epoch(train) [117][1400/3757] lr: 2.8081e-03 eta: 1 day, 3:07:46 time: 0.6368 data_time: 0.0155 memory: 17007 grad_norm: 9.1337 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7321 loss: 1.7321 2022/07/28 19:28:56 - mmengine - INFO - Epoch(train) [117][1420/3757] lr: 2.8081e-03 eta: 1 day, 3:07:38 time: 0.4206 data_time: 0.0161 memory: 17007 grad_norm: 8.7341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4708 loss: 1.4708 2022/07/28 19:29:04 - mmengine - INFO - Epoch(train) [117][1440/3757] lr: 2.8081e-03 eta: 1 day, 3:07:29 time: 0.3914 data_time: 0.0130 memory: 17007 grad_norm: 8.5940 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7293 loss: 1.7293 2022/07/28 19:29:12 - mmengine - INFO - Epoch(train) [117][1460/3757] lr: 2.8081e-03 eta: 1 day, 3:07:21 time: 0.3954 data_time: 0.0167 memory: 17007 grad_norm: 8.3752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7803 loss: 1.7803 2022/07/28 19:29:20 - mmengine - INFO - Epoch(train) [117][1480/3757] lr: 2.8081e-03 eta: 1 day, 3:07:13 time: 0.4046 data_time: 0.0170 memory: 17007 grad_norm: 8.5868 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8719 loss: 1.8719 2022/07/28 19:29:28 - mmengine - INFO - Epoch(train) [117][1500/3757] lr: 2.8081e-03 eta: 1 day, 3:07:04 time: 0.3975 data_time: 0.0173 memory: 17007 grad_norm: 8.9524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4443 loss: 1.4443 2022/07/28 19:29:37 - mmengine - INFO - Epoch(train) [117][1520/3757] lr: 2.8081e-03 eta: 1 day, 3:06:56 time: 0.4189 data_time: 0.0145 memory: 17007 grad_norm: 8.4583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7332 loss: 1.7332 2022/07/28 19:29:44 - mmengine - INFO - Epoch(train) [117][1540/3757] lr: 2.8081e-03 eta: 1 day, 3:06:48 time: 0.3958 data_time: 0.0165 memory: 17007 grad_norm: 9.0807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8053 loss: 1.8053 2022/07/28 19:29:52 - mmengine - INFO - Epoch(train) [117][1560/3757] lr: 2.8081e-03 eta: 1 day, 3:06:40 time: 0.3943 data_time: 0.0135 memory: 17007 grad_norm: 8.8876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7559 loss: 1.7559 2022/07/28 19:30:00 - mmengine - INFO - Epoch(train) [117][1580/3757] lr: 2.8081e-03 eta: 1 day, 3:06:32 time: 0.3985 data_time: 0.0164 memory: 17007 grad_norm: 8.7834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8585 loss: 1.8585 2022/07/28 19:30:08 - mmengine - INFO - Epoch(train) [117][1600/3757] lr: 2.8081e-03 eta: 1 day, 3:06:23 time: 0.3956 data_time: 0.0146 memory: 17007 grad_norm: 8.7634 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5478 loss: 1.5478 2022/07/28 19:30:16 - mmengine - INFO - Epoch(train) [117][1620/3757] lr: 2.8081e-03 eta: 1 day, 3:06:15 time: 0.4041 data_time: 0.0174 memory: 17007 grad_norm: 8.5996 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5386 loss: 1.5386 2022/07/28 19:30:25 - mmengine - INFO - Epoch(train) [117][1640/3757] lr: 2.8081e-03 eta: 1 day, 3:06:07 time: 0.4504 data_time: 0.0705 memory: 17007 grad_norm: 8.6771 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7485 loss: 1.7485 2022/07/28 19:30:40 - mmengine - INFO - Epoch(train) [117][1660/3757] lr: 2.8081e-03 eta: 1 day, 3:06:03 time: 0.7486 data_time: 0.0136 memory: 17007 grad_norm: 8.7879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7430 loss: 1.7430 2022/07/28 19:30:51 - mmengine - INFO - Epoch(train) [117][1680/3757] lr: 2.8081e-03 eta: 1 day, 3:05:56 time: 0.5328 data_time: 0.0177 memory: 17007 grad_norm: 8.5442 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5166 loss: 1.5166 2022/07/28 19:31:03 - mmengine - INFO - Epoch(train) [117][1700/3757] lr: 2.8081e-03 eta: 1 day, 3:05:50 time: 0.5902 data_time: 0.1293 memory: 17007 grad_norm: 8.9746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/07/28 19:31:15 - mmengine - INFO - Epoch(train) [117][1720/3757] lr: 2.8081e-03 eta: 1 day, 3:05:44 time: 0.5839 data_time: 0.0185 memory: 17007 grad_norm: 9.0927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6689 loss: 1.6689 2022/07/28 19:31:25 - mmengine - INFO - Epoch(train) [117][1740/3757] lr: 2.8081e-03 eta: 1 day, 3:05:36 time: 0.5106 data_time: 0.0175 memory: 17007 grad_norm: 8.6836 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5298 loss: 1.5298 2022/07/28 19:31:37 - mmengine - INFO - Epoch(train) [117][1760/3757] lr: 2.8081e-03 eta: 1 day, 3:05:31 time: 0.6221 data_time: 0.0216 memory: 17007 grad_norm: 8.6347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5501 loss: 1.5501 2022/07/28 19:31:47 - mmengine - INFO - Epoch(train) [117][1780/3757] lr: 2.8081e-03 eta: 1 day, 3:05:23 time: 0.4978 data_time: 0.0186 memory: 17007 grad_norm: 8.5993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5596 loss: 1.5596 2022/07/28 19:31:58 - mmengine - INFO - Epoch(train) [117][1800/3757] lr: 2.8081e-03 eta: 1 day, 3:05:17 time: 0.5266 data_time: 0.0139 memory: 17007 grad_norm: 9.0773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6368 loss: 1.6368 2022/07/28 19:32:15 - mmengine - INFO - Epoch(train) [117][1820/3757] lr: 2.8081e-03 eta: 1 day, 3:05:13 time: 0.8633 data_time: 0.0369 memory: 17007 grad_norm: 8.9122 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4561 loss: 1.4561 2022/07/28 19:32:25 - mmengine - INFO - Epoch(train) [117][1840/3757] lr: 2.8081e-03 eta: 1 day, 3:05:06 time: 0.5042 data_time: 0.0168 memory: 17007 grad_norm: 9.0581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7123 loss: 1.7123 2022/07/28 19:32:38 - mmengine - INFO - Epoch(train) [117][1860/3757] lr: 2.8081e-03 eta: 1 day, 3:05:01 time: 0.6424 data_time: 0.0180 memory: 17007 grad_norm: 8.6457 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6826 loss: 1.6826 2022/07/28 19:32:48 - mmengine - INFO - Epoch(train) [117][1880/3757] lr: 2.8081e-03 eta: 1 day, 3:04:53 time: 0.5083 data_time: 0.0175 memory: 17007 grad_norm: 8.7230 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7500 loss: 1.7500 2022/07/28 19:32:58 - mmengine - INFO - Epoch(train) [117][1900/3757] lr: 2.8081e-03 eta: 1 day, 3:04:46 time: 0.4982 data_time: 0.0409 memory: 17007 grad_norm: 9.0450 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8565 loss: 1.8565 2022/07/28 19:33:09 - mmengine - INFO - Epoch(train) [117][1920/3757] lr: 2.8081e-03 eta: 1 day, 3:04:40 time: 0.5561 data_time: 0.0158 memory: 17007 grad_norm: 9.3032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6737 loss: 1.6737 2022/07/28 19:33:20 - mmengine - INFO - Epoch(train) [117][1940/3757] lr: 2.8081e-03 eta: 1 day, 3:04:33 time: 0.5469 data_time: 0.0174 memory: 17007 grad_norm: 8.7623 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6567 loss: 1.6567 2022/07/28 19:33:36 - mmengine - INFO - Epoch(train) [117][1960/3757] lr: 2.8081e-03 eta: 1 day, 3:04:29 time: 0.7839 data_time: 0.0196 memory: 17007 grad_norm: 8.4154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5260 loss: 1.5260 2022/07/28 19:33:48 - mmengine - INFO - Epoch(train) [117][1980/3757] lr: 2.8081e-03 eta: 1 day, 3:04:23 time: 0.5946 data_time: 0.0177 memory: 17007 grad_norm: 8.7905 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3120 loss: 1.3120 2022/07/28 19:34:02 - mmengine - INFO - Epoch(train) [117][2000/3757] lr: 2.8081e-03 eta: 1 day, 3:04:18 time: 0.6925 data_time: 0.0168 memory: 17007 grad_norm: 9.0072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7676 loss: 1.7676 2022/07/28 19:34:15 - mmengine - INFO - Epoch(train) [117][2020/3757] lr: 2.8081e-03 eta: 1 day, 3:04:12 time: 0.6511 data_time: 0.0191 memory: 17007 grad_norm: 8.8149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3912 loss: 1.3912 2022/07/28 19:34:27 - mmengine - INFO - Epoch(train) [117][2040/3757] lr: 2.8081e-03 eta: 1 day, 3:04:06 time: 0.5930 data_time: 0.0142 memory: 17007 grad_norm: 8.9489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7424 loss: 1.7424 2022/07/28 19:34:39 - mmengine - INFO - Epoch(train) [117][2060/3757] lr: 2.8081e-03 eta: 1 day, 3:04:00 time: 0.6416 data_time: 0.0173 memory: 17007 grad_norm: 8.6942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5132 loss: 1.5132 2022/07/28 19:34:52 - mmengine - INFO - Epoch(train) [117][2080/3757] lr: 2.8081e-03 eta: 1 day, 3:03:54 time: 0.6068 data_time: 0.0160 memory: 17007 grad_norm: 8.4630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6196 loss: 1.6196 2022/07/28 19:35:02 - mmengine - INFO - Epoch(train) [117][2100/3757] lr: 2.8081e-03 eta: 1 day, 3:03:48 time: 0.5364 data_time: 0.0192 memory: 17007 grad_norm: 8.4526 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8775 loss: 1.8775 2022/07/28 19:35:14 - mmengine - INFO - Epoch(train) [117][2120/3757] lr: 2.8081e-03 eta: 1 day, 3:03:42 time: 0.6018 data_time: 0.0156 memory: 17007 grad_norm: 8.8078 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8044 loss: 1.8044 2022/07/28 19:35:25 - mmengine - INFO - Epoch(train) [117][2140/3757] lr: 2.8081e-03 eta: 1 day, 3:03:35 time: 0.5368 data_time: 0.0874 memory: 17007 grad_norm: 8.7535 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8860 loss: 1.8860 2022/07/28 19:35:39 - mmengine - INFO - Epoch(train) [117][2160/3757] lr: 2.8081e-03 eta: 1 day, 3:03:30 time: 0.6834 data_time: 0.0208 memory: 17007 grad_norm: 8.7688 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9202 loss: 1.9202 2022/07/28 19:35:50 - mmengine - INFO - Epoch(train) [117][2180/3757] lr: 2.8081e-03 eta: 1 day, 3:03:23 time: 0.5474 data_time: 0.0244 memory: 17007 grad_norm: 8.7038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6413 loss: 1.6413 2022/07/28 19:35:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 19:35:59 - mmengine - INFO - Epoch(train) [117][2200/3757] lr: 2.8081e-03 eta: 1 day, 3:03:15 time: 0.4525 data_time: 0.0581 memory: 17007 grad_norm: 8.4651 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6505 loss: 1.6505 2022/07/28 19:36:07 - mmengine - INFO - Epoch(train) [117][2220/3757] lr: 2.8081e-03 eta: 1 day, 3:03:07 time: 0.3935 data_time: 0.0145 memory: 17007 grad_norm: 8.9220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7280 loss: 1.7280 2022/07/28 19:36:15 - mmengine - INFO - Epoch(train) [117][2240/3757] lr: 2.8081e-03 eta: 1 day, 3:02:59 time: 0.3958 data_time: 0.0165 memory: 17007 grad_norm: 8.8090 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9562 loss: 1.9562 2022/07/28 19:36:23 - mmengine - INFO - Epoch(train) [117][2260/3757] lr: 2.8081e-03 eta: 1 day, 3:02:50 time: 0.4038 data_time: 0.0161 memory: 17007 grad_norm: 8.9540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8910 loss: 1.8910 2022/07/28 19:36:31 - mmengine - INFO - Epoch(train) [117][2280/3757] lr: 2.8081e-03 eta: 1 day, 3:02:42 time: 0.3956 data_time: 0.0156 memory: 17007 grad_norm: 9.1471 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7043 loss: 1.7043 2022/07/28 19:36:39 - mmengine - INFO - Epoch(train) [117][2300/3757] lr: 2.8081e-03 eta: 1 day, 3:02:34 time: 0.4154 data_time: 0.0146 memory: 17007 grad_norm: 8.8156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8651 loss: 1.8651 2022/07/28 19:36:47 - mmengine - INFO - Epoch(train) [117][2320/3757] lr: 2.8081e-03 eta: 1 day, 3:02:26 time: 0.3945 data_time: 0.0160 memory: 17007 grad_norm: 8.9205 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2277 loss: 2.2277 2022/07/28 19:36:55 - mmengine - INFO - Epoch(train) [117][2340/3757] lr: 2.8081e-03 eta: 1 day, 3:02:17 time: 0.3966 data_time: 0.0150 memory: 17007 grad_norm: 8.8958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6923 loss: 1.6923 2022/07/28 19:37:03 - mmengine - INFO - Epoch(train) [117][2360/3757] lr: 2.8081e-03 eta: 1 day, 3:02:09 time: 0.3967 data_time: 0.0168 memory: 17007 grad_norm: 8.8799 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5105 loss: 1.5105 2022/07/28 19:37:11 - mmengine - INFO - Epoch(train) [117][2380/3757] lr: 2.8081e-03 eta: 1 day, 3:02:01 time: 0.3964 data_time: 0.0157 memory: 17007 grad_norm: 8.6088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3744 loss: 1.3744 2022/07/28 19:37:19 - mmengine - INFO - Epoch(train) [117][2400/3757] lr: 2.8081e-03 eta: 1 day, 3:01:52 time: 0.3962 data_time: 0.0159 memory: 17007 grad_norm: 9.1259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5835 loss: 1.5835 2022/07/28 19:37:27 - mmengine - INFO - Epoch(train) [117][2420/3757] lr: 2.8081e-03 eta: 1 day, 3:01:44 time: 0.4075 data_time: 0.0153 memory: 17007 grad_norm: 9.0145 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7747 loss: 1.7747 2022/07/28 19:37:38 - mmengine - INFO - Epoch(train) [117][2440/3757] lr: 2.8081e-03 eta: 1 day, 3:01:38 time: 0.5800 data_time: 0.0161 memory: 17007 grad_norm: 8.6944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4829 loss: 1.4829 2022/07/28 19:37:47 - mmengine - INFO - Epoch(train) [117][2460/3757] lr: 2.8081e-03 eta: 1 day, 3:01:30 time: 0.4425 data_time: 0.0163 memory: 17007 grad_norm: 8.5562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5332 loss: 1.5332 2022/07/28 19:37:57 - mmengine - INFO - Epoch(train) [117][2480/3757] lr: 2.8081e-03 eta: 1 day, 3:01:23 time: 0.5113 data_time: 0.0139 memory: 17007 grad_norm: 9.0465 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9702 loss: 1.9702 2022/07/28 19:38:07 - mmengine - INFO - Epoch(train) [117][2500/3757] lr: 2.8081e-03 eta: 1 day, 3:01:16 time: 0.4971 data_time: 0.1021 memory: 17007 grad_norm: 8.9825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5232 loss: 1.5232 2022/07/28 19:38:19 - mmengine - INFO - Epoch(train) [117][2520/3757] lr: 2.8081e-03 eta: 1 day, 3:01:09 time: 0.5755 data_time: 0.0136 memory: 17007 grad_norm: 9.1732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8794 loss: 1.8794 2022/07/28 19:38:31 - mmengine - INFO - Epoch(train) [117][2540/3757] lr: 2.8081e-03 eta: 1 day, 3:01:03 time: 0.6090 data_time: 0.0176 memory: 17007 grad_norm: 9.0389 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5461 loss: 1.5461 2022/07/28 19:38:41 - mmengine - INFO - Epoch(train) [117][2560/3757] lr: 2.8081e-03 eta: 1 day, 3:00:56 time: 0.5157 data_time: 0.0181 memory: 17007 grad_norm: 8.8444 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7500 loss: 1.7500 2022/07/28 19:38:52 - mmengine - INFO - Epoch(train) [117][2580/3757] lr: 2.8081e-03 eta: 1 day, 3:00:49 time: 0.5059 data_time: 0.0182 memory: 17007 grad_norm: 8.8339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5167 loss: 1.5167 2022/07/28 19:39:07 - mmengine - INFO - Epoch(train) [117][2600/3757] lr: 2.8081e-03 eta: 1 day, 3:00:45 time: 0.7540 data_time: 0.0160 memory: 17007 grad_norm: 8.8866 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0664 loss: 2.0664 2022/07/28 19:39:18 - mmengine - INFO - Epoch(train) [117][2620/3757] lr: 2.8081e-03 eta: 1 day, 3:00:39 time: 0.5869 data_time: 0.0863 memory: 17007 grad_norm: 8.9802 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9804 loss: 1.9804 2022/07/28 19:39:29 - mmengine - INFO - Epoch(train) [117][2640/3757] lr: 2.8081e-03 eta: 1 day, 3:00:32 time: 0.5396 data_time: 0.0351 memory: 17007 grad_norm: 8.7093 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4133 loss: 1.4133 2022/07/28 19:39:44 - mmengine - INFO - Epoch(train) [117][2660/3757] lr: 2.8081e-03 eta: 1 day, 3:00:27 time: 0.7348 data_time: 0.3412 memory: 17007 grad_norm: 8.6759 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6501 loss: 1.6501 2022/07/28 19:39:56 - mmengine - INFO - Epoch(train) [117][2680/3757] lr: 2.8081e-03 eta: 1 day, 3:00:21 time: 0.5973 data_time: 0.0218 memory: 17007 grad_norm: 8.6060 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6660 loss: 1.6660 2022/07/28 19:40:08 - mmengine - INFO - Epoch(train) [117][2700/3757] lr: 2.8081e-03 eta: 1 day, 3:00:15 time: 0.5887 data_time: 0.0995 memory: 17007 grad_norm: 8.6445 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4697 loss: 1.4697 2022/07/28 19:40:19 - mmengine - INFO - Epoch(train) [117][2720/3757] lr: 2.8081e-03 eta: 1 day, 3:00:08 time: 0.5399 data_time: 0.0200 memory: 17007 grad_norm: 8.6185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0540 loss: 2.0540 2022/07/28 19:40:30 - mmengine - INFO - Epoch(train) [117][2740/3757] lr: 2.8081e-03 eta: 1 day, 3:00:01 time: 0.5624 data_time: 0.0164 memory: 17007 grad_norm: 8.7756 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6093 loss: 1.6093 2022/07/28 19:40:43 - mmengine - INFO - Epoch(train) [117][2760/3757] lr: 2.8081e-03 eta: 1 day, 2:59:56 time: 0.6527 data_time: 0.0184 memory: 17007 grad_norm: 8.8161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0463 loss: 2.0463 2022/07/28 19:40:55 - mmengine - INFO - Epoch(train) [117][2780/3757] lr: 2.8081e-03 eta: 1 day, 2:59:50 time: 0.5911 data_time: 0.0172 memory: 17007 grad_norm: 9.0011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2016 loss: 2.2016 2022/07/28 19:41:08 - mmengine - INFO - Epoch(train) [117][2800/3757] lr: 2.8081e-03 eta: 1 day, 2:59:44 time: 0.6401 data_time: 0.0177 memory: 17007 grad_norm: 8.5087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5997 loss: 1.5997 2022/07/28 19:41:18 - mmengine - INFO - Epoch(train) [117][2820/3757] lr: 2.8081e-03 eta: 1 day, 2:59:37 time: 0.5022 data_time: 0.0213 memory: 17007 grad_norm: 8.2163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5173 loss: 1.5173 2022/07/28 19:41:30 - mmengine - INFO - Epoch(train) [117][2840/3757] lr: 2.8081e-03 eta: 1 day, 2:59:31 time: 0.6037 data_time: 0.0158 memory: 17007 grad_norm: 8.6949 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8142 loss: 1.8142 2022/07/28 19:41:39 - mmengine - INFO - Epoch(train) [117][2860/3757] lr: 2.8081e-03 eta: 1 day, 2:59:23 time: 0.4833 data_time: 0.0180 memory: 17007 grad_norm: 8.9519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4644 loss: 1.4644 2022/07/28 19:41:51 - mmengine - INFO - Epoch(train) [117][2880/3757] lr: 2.8081e-03 eta: 1 day, 2:59:17 time: 0.5723 data_time: 0.0572 memory: 17007 grad_norm: 8.9867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4529 loss: 1.4529 2022/07/28 19:42:02 - mmengine - INFO - Epoch(train) [117][2900/3757] lr: 2.8081e-03 eta: 1 day, 2:59:10 time: 0.5436 data_time: 0.0171 memory: 17007 grad_norm: 8.4996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5766 loss: 1.5766 2022/07/28 19:42:13 - mmengine - INFO - Epoch(train) [117][2920/3757] lr: 2.8081e-03 eta: 1 day, 2:59:04 time: 0.5444 data_time: 0.0170 memory: 17007 grad_norm: 9.1283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6669 loss: 1.6669 2022/07/28 19:42:27 - mmengine - INFO - Epoch(train) [117][2940/3757] lr: 2.8081e-03 eta: 1 day, 2:58:59 time: 0.7060 data_time: 0.2112 memory: 17007 grad_norm: 8.9325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7787 loss: 1.7787 2022/07/28 19:42:38 - mmengine - INFO - Epoch(train) [117][2960/3757] lr: 2.8081e-03 eta: 1 day, 2:58:52 time: 0.5822 data_time: 0.1201 memory: 17007 grad_norm: 8.9141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5433 loss: 1.5433 2022/07/28 19:42:51 - mmengine - INFO - Epoch(train) [117][2980/3757] lr: 2.8081e-03 eta: 1 day, 2:58:47 time: 0.6331 data_time: 0.0179 memory: 17007 grad_norm: 8.6981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8225 loss: 1.8225 2022/07/28 19:43:01 - mmengine - INFO - Epoch(train) [117][3000/3757] lr: 2.8081e-03 eta: 1 day, 2:58:39 time: 0.5088 data_time: 0.0156 memory: 17007 grad_norm: 8.6576 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8359 loss: 1.8359 2022/07/28 19:43:11 - mmengine - INFO - Epoch(train) [117][3020/3757] lr: 2.8081e-03 eta: 1 day, 2:58:32 time: 0.5056 data_time: 0.0306 memory: 17007 grad_norm: 8.8175 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5932 loss: 1.5932 2022/07/28 19:43:19 - mmengine - INFO - Epoch(train) [117][3040/3757] lr: 2.8081e-03 eta: 1 day, 2:58:24 time: 0.3972 data_time: 0.0174 memory: 17007 grad_norm: 9.0991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7272 loss: 1.7272 2022/07/28 19:43:28 - mmengine - INFO - Epoch(train) [117][3060/3757] lr: 2.8081e-03 eta: 1 day, 2:58:16 time: 0.4129 data_time: 0.0145 memory: 17007 grad_norm: 9.1322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9232 loss: 1.9232 2022/07/28 19:43:36 - mmengine - INFO - Epoch(train) [117][3080/3757] lr: 2.8081e-03 eta: 1 day, 2:58:08 time: 0.3965 data_time: 0.0164 memory: 17007 grad_norm: 8.7273 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6252 loss: 1.6252 2022/07/28 19:43:43 - mmengine - INFO - Epoch(train) [117][3100/3757] lr: 2.8081e-03 eta: 1 day, 2:57:59 time: 0.3938 data_time: 0.0137 memory: 17007 grad_norm: 8.8485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5191 loss: 1.5191 2022/07/28 19:43:52 - mmengine - INFO - Epoch(train) [117][3120/3757] lr: 2.8081e-03 eta: 1 day, 2:57:51 time: 0.4118 data_time: 0.0180 memory: 17007 grad_norm: 9.0044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7444 loss: 1.7444 2022/07/28 19:44:00 - mmengine - INFO - Epoch(train) [117][3140/3757] lr: 2.8081e-03 eta: 1 day, 2:57:43 time: 0.3988 data_time: 0.0141 memory: 17007 grad_norm: 8.7699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5129 loss: 1.5129 2022/07/28 19:44:08 - mmengine - INFO - Epoch(train) [117][3160/3757] lr: 2.8081e-03 eta: 1 day, 2:57:35 time: 0.4002 data_time: 0.0179 memory: 17007 grad_norm: 8.9318 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7137 loss: 1.7137 2022/07/28 19:44:16 - mmengine - INFO - Epoch(train) [117][3180/3757] lr: 2.8081e-03 eta: 1 day, 2:57:26 time: 0.3940 data_time: 0.0140 memory: 17007 grad_norm: 9.0541 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5771 loss: 1.5771 2022/07/28 19:44:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220726_172404 2022/07/28 19:44:24 - mmengine - INFO - Epoch(train) [117][3200/3757] lr: 2.8081e-03 eta: 1 day, 2:57:18 time: 0.3957 data_time: 0.0169 memory: 17007 grad_norm: 8.8996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9358 loss: 1.9358 2022/07/28 19:44:32 - mmengine - INFO - Epoch(train) [117][3220/3757] lr: 2.8081e-03 eta: 1 day, 2:57:10 time: 0.4118 data_time: 0.0151 memory: 17007 grad_norm: 8.3562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/07/28 19:44:40 - mmengine - INFO - Epoch(train) [117][3240/3757] lr: 2.8081e-03 eta: 1 day, 2:57:01 time: 0.4008 data_time: 0.0161 memory: 17007 grad_norm: 8.7488 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5024 loss: 1.5024 2022/07/28 19:44:48 - mmengine - INFO - Epoch(train) [117][3260/3757] lr: 2.8081e-03 eta: 1 day, 2:56:53 time: 0.3972 data_time: 0.0135 memory: 17007 grad_norm: 8.5564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5587 loss: 1.5587 2022/07/28 19:44:58 - mmengine - INFO - Epoch(train) [117][3280/3757] lr: 2.8081e-03 eta: 1 day, 2:56:46 time: 0.5015 data_time: 0.0170 memory: 17007 grad_norm: 8.6919 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7969 loss: 1.7969 2022/07/28 19:45:06 - mmengine - INFO - Epoch(train) [117][3300/3757] lr: 2.8081e-03 eta: 1 day, 2:56:38 time: 0.4003 data_time: 0.0153 memory: 17007 grad_norm: 8.6759 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6398 loss: 1.6398 2022/07/28 19:45:16 - mmengine - INFO - Epoch(train) [117][3320/3757] lr: 2.8081e-03 eta: 1 day, 2:56:31 time: 0.5099 data_time: 0.0135 memory: 17007 grad_norm: 8.6849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7089 loss: 1.7089 2022/07/28 19:45:31 - mmengine - INFO - Epoch(train) [117][3340/3757] lr: 2.8081e-03 eta: 1 day, 2:56:26 time: 0.7618 data_time: 0.0876 memory: 17007 grad_norm: 8.5241 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6412 loss: 1.6412 2022/07/29 14:29:07 - mmengine - INFO - Auto resumed from the latest checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/epoch_116.pth. 2022/07/29 14:31:10 - mmengine - INFO - Load checkpoint from /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/epoch_116.pth 2022/07/29 14:31:10 - mmengine - INFO - resumed epoch: 116, iter: 435812 2022/07/29 14:31:10 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb by HardDiskBackend. 2022/07/29 14:32:51 - mmengine - INFO - Epoch(train) [117][20/3757] lr: 2.8081e-03 eta: 13 days, 22:34:53 time: 5.0098 data_time: 4.5051 memory: 17006 grad_norm: 8.6753 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6232 loss: 1.6232 2022/07/29 14:32:59 - mmengine - INFO - Epoch(train) [117][40/3757] lr: 2.8081e-03 eta: 7 days, 12:33:57 time: 0.3980 data_time: 0.0192 memory: 17006 grad_norm: 8.7711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5432 loss: 1.5432 2022/07/29 14:33:07 - mmengine - INFO - Epoch(train) [117][60/3757] lr: 2.8081e-03 eta: 5 days, 9:50:19 time: 0.4255 data_time: 0.0138 memory: 17006 grad_norm: 8.6425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4779 loss: 1.4779 2022/07/29 14:33:15 - mmengine - INFO - Epoch(train) [117][80/3757] lr: 2.8081e-03 eta: 4 days, 8:00:02 time: 0.3972 data_time: 0.0167 memory: 17006 grad_norm: 8.8053 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7840 loss: 1.7840 2022/07/29 14:33:24 - mmengine - INFO - Epoch(train) [117][100/3757] lr: 2.8081e-03 eta: 3 days, 17:04:23 time: 0.4403 data_time: 0.0140 memory: 17006 grad_norm: 8.8291 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5937 loss: 1.5937 2022/07/29 14:33:32 - mmengine - INFO - Epoch(train) [117][120/3757] lr: 2.8081e-03 eta: 3 days, 6:40:28 time: 0.4002 data_time: 0.0194 memory: 17006 grad_norm: 8.6926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8892 loss: 1.8892 2022/07/29 14:33:40 - mmengine - INFO - Epoch(train) [117][140/3757] lr: 2.8081e-03 eta: 2 days, 23:15:31 time: 0.4015 data_time: 0.0139 memory: 17006 grad_norm: 8.5689 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6396 loss: 1.6396 2022/07/29 14:33:48 - mmengine - INFO - Epoch(train) [117][160/3757] lr: 2.8081e-03 eta: 2 days, 17:40:04 time: 0.3981 data_time: 0.0163 memory: 17006 grad_norm: 8.7322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0402 loss: 2.0402 2022/07/29 14:33:56 - mmengine - INFO - Epoch(train) [117][180/3757] lr: 2.8081e-03 eta: 2 days, 13:24:40 time: 0.4105 data_time: 0.0159 memory: 17006 grad_norm: 8.5809 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7966 loss: 1.7966 2022/07/29 14:34:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 14:34:05 - mmengine - INFO - Epoch(train) [117][200/3757] lr: 2.8081e-03 eta: 2 days, 10:03:04 time: 0.4174 data_time: 0.0173 memory: 17006 grad_norm: 8.6944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5708 loss: 1.5708 2022/07/29 14:34:13 - mmengine - INFO - Epoch(train) [117][220/3757] lr: 2.8081e-03 eta: 2 days, 7:15:03 time: 0.4091 data_time: 0.0160 memory: 17006 grad_norm: 8.8141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7478 loss: 1.7478 2022/07/29 14:34:21 - mmengine - INFO - Epoch(train) [117][240/3757] lr: 2.8081e-03 eta: 2 days, 4:51:33 time: 0.3987 data_time: 0.0170 memory: 17006 grad_norm: 8.7777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6856 loss: 1.6856 2022/07/29 14:34:29 - mmengine - INFO - Epoch(train) [117][260/3757] lr: 2.8081e-03 eta: 2 days, 2:48:52 time: 0.3946 data_time: 0.0136 memory: 17006 grad_norm: 8.8950 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5217 loss: 1.5217 2022/07/29 14:34:37 - mmengine - INFO - Epoch(train) [117][280/3757] lr: 2.8081e-03 eta: 2 days, 1:12:27 time: 0.4253 data_time: 0.0173 memory: 17006 grad_norm: 8.9505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8123 loss: 1.8123 2022/07/29 14:34:45 - mmengine - INFO - Epoch(train) [117][300/3757] lr: 2.8081e-03 eta: 1 day, 23:41:12 time: 0.3965 data_time: 0.0152 memory: 17006 grad_norm: 8.7554 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9545 loss: 1.9545 2022/07/29 14:34:54 - mmengine - INFO - Epoch(train) [117][320/3757] lr: 2.8081e-03 eta: 1 day, 22:26:32 time: 0.4173 data_time: 0.0182 memory: 17006 grad_norm: 9.0108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6801 loss: 1.6801 2022/07/29 14:35:02 - mmengine - INFO - Epoch(train) [117][340/3757] lr: 2.8081e-03 eta: 1 day, 21:22:20 time: 0.4245 data_time: 0.0141 memory: 17006 grad_norm: 8.1663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3546 loss: 1.3546 2022/07/29 14:35:11 - mmengine - INFO - Epoch(train) [117][360/3757] lr: 2.8081e-03 eta: 1 day, 20:23:16 time: 0.4156 data_time: 0.0215 memory: 17006 grad_norm: 8.2568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8702 loss: 1.8702 2022/07/29 14:35:19 - mmengine - INFO - Epoch(train) [117][380/3757] lr: 2.8081e-03 eta: 1 day, 19:26:08 time: 0.3953 data_time: 0.0150 memory: 17006 grad_norm: 8.5481 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4998 loss: 1.4998 2022/07/29 14:35:27 - mmengine - INFO - Epoch(train) [117][400/3757] lr: 2.8081e-03 eta: 1 day, 18:41:47 time: 0.4307 data_time: 0.0170 memory: 17006 grad_norm: 8.5508 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7267 loss: 1.7267 2022/07/29 14:35:36 - mmengine - INFO - Epoch(train) [117][420/3757] lr: 2.8081e-03 eta: 1 day, 18:02:14 time: 0.4338 data_time: 0.0163 memory: 17006 grad_norm: 8.7275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8167 loss: 1.8167 2022/07/29 14:35:44 - mmengine - INFO - Epoch(train) [117][440/3757] lr: 2.8081e-03 eta: 1 day, 17:20:00 time: 0.3993 data_time: 0.0182 memory: 17006 grad_norm: 8.6511 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7363 loss: 1.7363 2022/07/29 14:35:53 - mmengine - INFO - Epoch(train) [117][460/3757] lr: 2.8081e-03 eta: 1 day, 16:50:50 time: 0.4535 data_time: 0.0195 memory: 17006 grad_norm: 8.8375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5110 loss: 1.5110 2022/07/29 14:36:01 - mmengine - INFO - Epoch(train) [117][480/3757] lr: 2.8081e-03 eta: 1 day, 16:14:49 time: 0.3978 data_time: 0.0165 memory: 17006 grad_norm: 8.9514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6873 loss: 1.6873 2022/07/29 14:36:09 - mmengine - INFO - Epoch(train) [117][500/3757] lr: 2.8081e-03 eta: 1 day, 15:41:05 time: 0.3942 data_time: 0.0143 memory: 17006 grad_norm: 8.9830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5796 loss: 1.5796 2022/07/29 14:36:17 - mmengine - INFO - Epoch(train) [117][520/3757] lr: 2.8081e-03 eta: 1 day, 15:12:17 time: 0.4095 data_time: 0.0204 memory: 17006 grad_norm: 8.4453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7230 loss: 1.7230 2022/07/29 14:36:25 - mmengine - INFO - Epoch(train) [117][540/3757] lr: 2.8081e-03 eta: 1 day, 14:43:30 time: 0.3952 data_time: 0.0148 memory: 17006 grad_norm: 8.7394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6430 loss: 1.6430 2022/07/29 14:36:34 - mmengine - INFO - Epoch(train) [117][560/3757] lr: 2.8081e-03 eta: 1 day, 14:21:14 time: 0.4265 data_time: 0.0192 memory: 17006 grad_norm: 8.4673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5040 loss: 1.5040 2022/07/29 14:36:42 - mmengine - INFO - Epoch(train) [117][580/3757] lr: 2.8081e-03 eta: 1 day, 13:56:23 time: 0.3967 data_time: 0.0148 memory: 17006 grad_norm: 8.9955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5645 loss: 1.5645 2022/07/29 14:36:50 - mmengine - INFO - Epoch(train) [117][600/3757] lr: 2.8081e-03 eta: 1 day, 13:33:26 time: 0.3986 data_time: 0.0164 memory: 17006 grad_norm: 8.4864 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8699 loss: 1.8699 2022/07/29 14:36:58 - mmengine - INFO - Epoch(train) [117][620/3757] lr: 2.8081e-03 eta: 1 day, 13:14:04 time: 0.4149 data_time: 0.0179 memory: 17006 grad_norm: 8.9631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7429 loss: 1.7429 2022/07/29 14:37:06 - mmengine - INFO - Epoch(train) [117][640/3757] lr: 2.8081e-03 eta: 1 day, 12:53:54 time: 0.3990 data_time: 0.0174 memory: 17006 grad_norm: 8.8603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4629 loss: 1.4629 2022/07/29 14:37:15 - mmengine - INFO - Epoch(train) [117][660/3757] lr: 2.8081e-03 eta: 1 day, 12:38:36 time: 0.4291 data_time: 0.0172 memory: 17006 grad_norm: 8.8704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4733 loss: 1.4733 2022/07/29 14:37:23 - mmengine - INFO - Epoch(train) [117][680/3757] lr: 2.8081e-03 eta: 1 day, 12:24:30 time: 0.4317 data_time: 0.0175 memory: 17006 grad_norm: 8.7779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5621 loss: 1.5621 2022/07/29 14:37:31 - mmengine - INFO - Epoch(train) [117][700/3757] lr: 2.8081e-03 eta: 1 day, 12:08:56 time: 0.4120 data_time: 0.0161 memory: 17006 grad_norm: 8.8103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5284 loss: 1.5284 2022/07/29 14:37:39 - mmengine - INFO - Epoch(train) [117][720/3757] lr: 2.8081e-03 eta: 1 day, 11:52:42 time: 0.3981 data_time: 0.0173 memory: 17006 grad_norm: 8.3946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4723 loss: 1.4723 2022/07/29 14:37:47 - mmengine - INFO - Epoch(train) [117][740/3757] lr: 2.8081e-03 eta: 1 day, 11:37:10 time: 0.3965 data_time: 0.0145 memory: 17006 grad_norm: 8.5997 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5940 loss: 1.5940 2022/07/29 14:37:57 - mmengine - INFO - Epoch(train) [117][760/3757] lr: 2.8081e-03 eta: 1 day, 11:28:42 time: 0.4561 data_time: 0.0194 memory: 17006 grad_norm: 8.4751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9500 loss: 1.9500 2022/07/29 14:38:05 - mmengine - INFO - Epoch(train) [117][780/3757] lr: 2.8081e-03 eta: 1 day, 11:14:41 time: 0.3978 data_time: 0.0177 memory: 17006 grad_norm: 8.7558 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6513 loss: 1.6513 2022/07/29 14:38:13 - mmengine - INFO - Epoch(train) [117][800/3757] lr: 2.8081e-03 eta: 1 day, 11:04:51 time: 0.4327 data_time: 0.0176 memory: 17006 grad_norm: 8.6261 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8897 loss: 1.8897 2022/07/29 14:38:21 - mmengine - INFO - Epoch(train) [117][820/3757] lr: 2.8081e-03 eta: 1 day, 10:52:18 time: 0.3999 data_time: 0.0186 memory: 17006 grad_norm: 8.8446 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6222 loss: 1.6222 2022/07/29 14:38:29 - mmengine - INFO - Epoch(train) [117][840/3757] lr: 2.8081e-03 eta: 1 day, 10:40:02 time: 0.3966 data_time: 0.0167 memory: 17006 grad_norm: 8.6846 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6313 loss: 1.6313 2022/07/29 14:38:38 - mmengine - INFO - Epoch(train) [117][860/3757] lr: 2.8081e-03 eta: 1 day, 10:30:35 time: 0.4210 data_time: 0.0159 memory: 17006 grad_norm: 8.9337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7918 loss: 1.7918 2022/07/29 14:38:46 - mmengine - INFO - Epoch(train) [117][880/3757] lr: 2.8081e-03 eta: 1 day, 10:19:39 time: 0.3999 data_time: 0.0169 memory: 17006 grad_norm: 8.7270 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7531 loss: 1.7531 2022/07/29 14:38:55 - mmengine - INFO - Epoch(train) [117][900/3757] lr: 2.8081e-03 eta: 1 day, 10:14:54 time: 0.4643 data_time: 0.0164 memory: 17006 grad_norm: 8.8705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7012 loss: 1.7012 2022/07/29 14:39:03 - mmengine - INFO - Epoch(train) [117][920/3757] lr: 2.8081e-03 eta: 1 day, 10:04:58 time: 0.4022 data_time: 0.0187 memory: 17006 grad_norm: 8.9253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6412 loss: 1.6412 2022/07/29 14:39:12 - mmengine - INFO - Epoch(train) [117][940/3757] lr: 2.8081e-03 eta: 1 day, 9:57:59 time: 0.4321 data_time: 0.0172 memory: 17006 grad_norm: 9.0282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7757 loss: 1.7757 2022/07/29 14:39:20 - mmengine - INFO - Epoch(train) [117][960/3757] lr: 2.8081e-03 eta: 1 day, 9:48:55 time: 0.4034 data_time: 0.0189 memory: 17006 grad_norm: 8.5263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7950 loss: 1.7950 2022/07/29 14:39:28 - mmengine - INFO - Epoch(train) [117][980/3757] lr: 2.8081e-03 eta: 1 day, 9:39:42 time: 0.3972 data_time: 0.0164 memory: 17006 grad_norm: 8.5827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6051 loss: 1.6051 2022/07/29 14:39:37 - mmengine - INFO - Epoch(train) [117][1000/3757] lr: 2.8081e-03 eta: 1 day, 9:34:53 time: 0.4479 data_time: 0.0187 memory: 17006 grad_norm: 8.5596 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3313 loss: 1.3313 2022/07/29 14:39:45 - mmengine - INFO - Epoch(train) [117][1020/3757] lr: 2.8081e-03 eta: 1 day, 9:26:22 time: 0.3982 data_time: 0.0172 memory: 17006 grad_norm: 8.6007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6085 loss: 1.6085 2022/07/29 14:39:53 - mmengine - INFO - Epoch(train) [117][1040/3757] lr: 2.8081e-03 eta: 1 day, 9:19:54 time: 0.4207 data_time: 0.0183 memory: 17006 grad_norm: 9.3452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6442 loss: 1.6442 2022/07/29 14:40:01 - mmengine - INFO - Epoch(train) [117][1060/3757] lr: 2.8081e-03 eta: 1 day, 9:12:02 time: 0.3990 data_time: 0.0184 memory: 17006 grad_norm: 8.8188 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7906 loss: 1.7906 2022/07/29 14:40:09 - mmengine - INFO - Epoch(train) [117][1080/3757] lr: 2.8081e-03 eta: 1 day, 9:04:24 time: 0.3982 data_time: 0.0201 memory: 17006 grad_norm: 8.8576 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0993 loss: 2.0993 2022/07/29 14:40:18 - mmengine - INFO - Epoch(train) [117][1100/3757] lr: 2.8081e-03 eta: 1 day, 9:01:00 time: 0.4528 data_time: 0.0171 memory: 17006 grad_norm: 9.0128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7260 loss: 1.7260 2022/07/29 14:40:26 - mmengine - INFO - Epoch(train) [117][1120/3757] lr: 2.8081e-03 eta: 1 day, 8:53:59 time: 0.4006 data_time: 0.0186 memory: 17006 grad_norm: 8.8549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6039 loss: 1.6039 2022/07/29 14:40:35 - mmengine - INFO - Epoch(train) [117][1140/3757] lr: 2.8081e-03 eta: 1 day, 8:47:57 time: 0.4110 data_time: 0.0169 memory: 17006 grad_norm: 8.7069 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5101 loss: 1.5101 2022/07/29 14:40:43 - mmengine - INFO - Epoch(train) [117][1160/3757] lr: 2.8081e-03 eta: 1 day, 8:41:28 time: 0.4015 data_time: 0.0173 memory: 17006 grad_norm: 8.5372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8781 loss: 1.8781 2022/07/29 14:40:51 - mmengine - INFO - Epoch(train) [117][1180/3757] lr: 2.8081e-03 eta: 1 day, 8:36:48 time: 0.4251 data_time: 0.0160 memory: 17006 grad_norm: 8.5878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5914 loss: 1.5914 2022/07/29 14:40:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 14:40:59 - mmengine - INFO - Epoch(train) [117][1200/3757] lr: 2.8081e-03 eta: 1 day, 8:30:51 time: 0.4038 data_time: 0.0183 memory: 17006 grad_norm: 8.8966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4674 loss: 1.4674 2022/07/29 14:41:07 - mmengine - INFO - Epoch(train) [117][1220/3757] lr: 2.8081e-03 eta: 1 day, 8:24:51 time: 0.3999 data_time: 0.0172 memory: 17006 grad_norm: 8.6547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4210 loss: 1.4210 2022/07/29 14:41:16 - mmengine - INFO - Epoch(train) [117][1240/3757] lr: 2.8081e-03 eta: 1 day, 8:22:02 time: 0.4463 data_time: 0.0190 memory: 17006 grad_norm: 8.5844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5878 loss: 1.5878 2022/07/29 14:41:24 - mmengine - INFO - Epoch(train) [117][1260/3757] lr: 2.8081e-03 eta: 1 day, 8:16:18 time: 0.3992 data_time: 0.0168 memory: 17006 grad_norm: 8.5244 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8246 loss: 1.8246 2022/07/29 14:41:32 - mmengine - INFO - Epoch(train) [117][1280/3757] lr: 2.8081e-03 eta: 1 day, 8:11:18 time: 0.4080 data_time: 0.0177 memory: 17006 grad_norm: 8.6318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9146 loss: 1.9146 2022/07/29 14:41:40 - mmengine - INFO - Epoch(train) [117][1300/3757] lr: 2.8081e-03 eta: 1 day, 8:05:48 time: 0.3975 data_time: 0.0158 memory: 17006 grad_norm: 8.7294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8400 loss: 1.8400 2022/07/29 14:41:48 - mmengine - INFO - Epoch(train) [117][1320/3757] lr: 2.8081e-03 eta: 1 day, 8:00:38 time: 0.4002 data_time: 0.0195 memory: 17006 grad_norm: 8.9270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7734 loss: 1.7734 2022/07/29 14:41:58 - mmengine - INFO - Epoch(train) [117][1340/3757] lr: 2.8081e-03 eta: 1 day, 7:58:56 time: 0.4563 data_time: 0.0182 memory: 17006 grad_norm: 8.5742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5225 loss: 1.5225 2022/07/29 14:42:06 - mmengine - INFO - Epoch(train) [117][1360/3757] lr: 2.8081e-03 eta: 1 day, 7:53:57 time: 0.3991 data_time: 0.0176 memory: 17006 grad_norm: 8.7396 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0472 loss: 2.0472 2022/07/29 14:42:14 - mmengine - INFO - Epoch(train) [117][1380/3757] lr: 2.8081e-03 eta: 1 day, 7:50:42 time: 0.4268 data_time: 0.0173 memory: 17006 grad_norm: 8.5789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9932 loss: 1.9932 2022/07/29 14:42:22 - mmengine - INFO - Epoch(train) [117][1400/3757] lr: 2.8081e-03 eta: 1 day, 7:45:59 time: 0.3995 data_time: 0.0172 memory: 17006 grad_norm: 8.6811 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6121 loss: 1.6121 2022/07/29 14:42:32 - mmengine - INFO - Epoch(train) [117][1420/3757] lr: 2.8081e-03 eta: 1 day, 7:47:34 time: 0.5093 data_time: 0.1172 memory: 17006 grad_norm: 8.2182 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8225 loss: 1.8225 2022/07/29 14:42:40 - mmengine - INFO - Epoch(train) [117][1440/3757] lr: 2.8081e-03 eta: 1 day, 7:42:59 time: 0.3991 data_time: 0.0178 memory: 17006 grad_norm: 8.6619 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4839 loss: 1.4839 2022/07/29 14:42:49 - mmengine - INFO - Epoch(train) [117][1460/3757] lr: 2.8081e-03 eta: 1 day, 7:40:47 time: 0.4403 data_time: 0.0147 memory: 17006 grad_norm: 8.5427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6933 loss: 1.6933 2022/07/29 14:42:57 - mmengine - INFO - Epoch(train) [117][1480/3757] lr: 2.8081e-03 eta: 1 day, 7:36:56 time: 0.4085 data_time: 0.0188 memory: 17006 grad_norm: 8.5323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4950 loss: 1.4950 2022/07/29 14:43:06 - mmengine - INFO - Epoch(train) [117][1500/3757] lr: 2.8081e-03 eta: 1 day, 7:34:58 time: 0.4422 data_time: 0.0156 memory: 17006 grad_norm: 9.0428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8312 loss: 1.8312 2022/07/29 14:43:14 - mmengine - INFO - Epoch(train) [117][1520/3757] lr: 2.8081e-03 eta: 1 day, 7:31:08 time: 0.4057 data_time: 0.0194 memory: 17006 grad_norm: 8.8869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9156 loss: 1.9156 2022/07/29 14:43:23 - mmengine - INFO - Epoch(train) [117][1540/3757] lr: 2.8081e-03 eta: 1 day, 7:27:12 time: 0.4020 data_time: 0.0142 memory: 17006 grad_norm: 8.9791 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6574 loss: 1.6574 2022/07/29 14:43:31 - mmengine - INFO - Epoch(train) [117][1560/3757] lr: 2.8081e-03 eta: 1 day, 7:23:11 time: 0.3983 data_time: 0.0181 memory: 17006 grad_norm: 8.9257 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8117 loss: 1.8117 2022/07/29 14:43:39 - mmengine - INFO - Epoch(train) [117][1580/3757] lr: 2.8081e-03 eta: 1 day, 7:21:08 time: 0.4356 data_time: 0.0173 memory: 17006 grad_norm: 9.0949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6280 loss: 1.6280 2022/07/29 14:43:47 - mmengine - INFO - Epoch(train) [117][1600/3757] lr: 2.8081e-03 eta: 1 day, 7:17:31 time: 0.4029 data_time: 0.0191 memory: 17006 grad_norm: 9.0915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5205 loss: 1.5205 2022/07/29 14:43:56 - mmengine - INFO - Epoch(train) [117][1620/3757] lr: 2.8081e-03 eta: 1 day, 7:14:24 time: 0.4115 data_time: 0.0162 memory: 17006 grad_norm: 8.8806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8783 loss: 1.8783 2022/07/29 14:44:04 - mmengine - INFO - Epoch(train) [117][1640/3757] lr: 2.8081e-03 eta: 1 day, 7:12:22 time: 0.4321 data_time: 0.0173 memory: 17006 grad_norm: 8.8876 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5295 loss: 1.5295 2022/07/29 14:44:13 - mmengine - INFO - Epoch(train) [117][1660/3757] lr: 2.8081e-03 eta: 1 day, 7:09:21 time: 0.4110 data_time: 0.0149 memory: 17006 grad_norm: 8.9837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/07/29 14:44:21 - mmengine - INFO - Epoch(train) [117][1680/3757] lr: 2.8081e-03 eta: 1 day, 7:05:50 time: 0.3986 data_time: 0.0174 memory: 17006 grad_norm: 8.3917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7256 loss: 1.7256 2022/07/29 14:44:29 - mmengine - INFO - Epoch(train) [117][1700/3757] lr: 2.8081e-03 eta: 1 day, 7:02:47 time: 0.4071 data_time: 0.0151 memory: 17006 grad_norm: 8.7554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9591 loss: 1.9591 2022/07/29 14:44:37 - mmengine - INFO - Epoch(train) [117][1720/3757] lr: 2.8081e-03 eta: 1 day, 6:59:59 time: 0.4110 data_time: 0.0216 memory: 17006 grad_norm: 8.7540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0114 loss: 2.0114 2022/07/29 14:44:46 - mmengine - INFO - Epoch(train) [117][1740/3757] lr: 2.8081e-03 eta: 1 day, 6:58:37 time: 0.4412 data_time: 0.0146 memory: 17006 grad_norm: 9.4641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6758 loss: 1.6758 2022/07/29 14:44:54 - mmengine - INFO - Epoch(train) [117][1760/3757] lr: 2.8081e-03 eta: 1 day, 6:56:50 time: 0.4310 data_time: 0.0195 memory: 17006 grad_norm: 9.1110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4614 loss: 1.4614 2022/07/29 14:45:03 - mmengine - INFO - Epoch(train) [117][1780/3757] lr: 2.8081e-03 eta: 1 day, 6:55:03 time: 0.4303 data_time: 0.0163 memory: 17006 grad_norm: 8.6422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4420 loss: 1.4420 2022/07/29 14:45:12 - mmengine - INFO - Epoch(train) [117][1800/3757] lr: 2.8081e-03 eta: 1 day, 6:52:55 time: 0.4217 data_time: 0.0171 memory: 17006 grad_norm: 8.8240 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6695 loss: 1.6695 2022/07/29 14:45:20 - mmengine - INFO - Epoch(train) [117][1820/3757] lr: 2.8081e-03 eta: 1 day, 6:50:05 time: 0.4046 data_time: 0.0165 memory: 17006 grad_norm: 8.5956 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5339 loss: 1.5339 2022/07/29 14:45:28 - mmengine - INFO - Epoch(train) [117][1840/3757] lr: 2.8081e-03 eta: 1 day, 6:48:49 time: 0.4394 data_time: 0.0174 memory: 17006 grad_norm: 9.0678 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8680 loss: 1.8680 2022/07/29 14:45:37 - mmengine - INFO - Epoch(train) [117][1860/3757] lr: 2.8081e-03 eta: 1 day, 6:46:30 time: 0.4143 data_time: 0.0167 memory: 17006 grad_norm: 8.6012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7387 loss: 1.7387 2022/07/29 14:45:45 - mmengine - INFO - Epoch(train) [117][1880/3757] lr: 2.8081e-03 eta: 1 day, 6:43:41 time: 0.4014 data_time: 0.0181 memory: 17006 grad_norm: 8.7368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5645 loss: 1.5645 2022/07/29 14:45:53 - mmengine - INFO - Epoch(train) [117][1900/3757] lr: 2.8081e-03 eta: 1 day, 6:41:16 time: 0.4097 data_time: 0.0150 memory: 17006 grad_norm: 8.9929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7850 loss: 1.7850 2022/07/29 14:46:01 - mmengine - INFO - Epoch(train) [117][1920/3757] lr: 2.8081e-03 eta: 1 day, 6:38:26 time: 0.3984 data_time: 0.0168 memory: 17006 grad_norm: 8.5863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8025 loss: 1.8025 2022/07/29 14:46:09 - mmengine - INFO - Epoch(train) [117][1940/3757] lr: 2.8081e-03 eta: 1 day, 6:35:45 time: 0.4008 data_time: 0.0152 memory: 17006 grad_norm: 8.7684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6461 loss: 1.6461 2022/07/29 14:46:18 - mmengine - INFO - Epoch(train) [117][1960/3757] lr: 2.8081e-03 eta: 1 day, 6:34:26 time: 0.4332 data_time: 0.0187 memory: 17006 grad_norm: 9.0152 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9768 loss: 1.9768 2022/07/29 14:46:26 - mmengine - INFO - Epoch(train) [117][1980/3757] lr: 2.8081e-03 eta: 1 day, 6:31:56 time: 0.4030 data_time: 0.0153 memory: 17006 grad_norm: 8.6622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4378 loss: 1.4378 2022/07/29 14:46:34 - mmengine - INFO - Epoch(train) [117][2000/3757] lr: 2.8081e-03 eta: 1 day, 6:29:51 time: 0.4124 data_time: 0.0194 memory: 17006 grad_norm: 8.6075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8885 loss: 1.8885 2022/07/29 14:46:42 - mmengine - INFO - Epoch(train) [117][2020/3757] lr: 2.8081e-03 eta: 1 day, 6:27:31 time: 0.4051 data_time: 0.0164 memory: 17006 grad_norm: 9.0658 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7562 loss: 1.7562 2022/07/29 14:46:54 - mmengine - INFO - Epoch(train) [117][2040/3757] lr: 2.8081e-03 eta: 1 day, 6:31:13 time: 0.5586 data_time: 0.1457 memory: 17006 grad_norm: 8.6441 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7113 loss: 1.7113 2022/07/29 14:47:02 - mmengine - INFO - Epoch(train) [117][2060/3757] lr: 2.8081e-03 eta: 1 day, 6:28:47 time: 0.4020 data_time: 0.0188 memory: 17006 grad_norm: 8.9281 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5839 loss: 1.5839 2022/07/29 14:47:10 - mmengine - INFO - Epoch(train) [117][2080/3757] lr: 2.8081e-03 eta: 1 day, 6:26:13 time: 0.3972 data_time: 0.0150 memory: 17006 grad_norm: 8.8462 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0120 loss: 2.0120 2022/07/29 14:47:18 - mmengine - INFO - Epoch(train) [117][2100/3757] lr: 2.8081e-03 eta: 1 day, 6:24:13 time: 0.4108 data_time: 0.0180 memory: 17006 grad_norm: 8.8896 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5054 loss: 1.5054 2022/07/29 14:47:26 - mmengine - INFO - Epoch(train) [117][2120/3757] lr: 2.8081e-03 eta: 1 day, 6:21:54 time: 0.4016 data_time: 0.0144 memory: 17006 grad_norm: 8.9759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8203 loss: 1.8203 2022/07/29 14:47:35 - mmengine - INFO - Epoch(train) [117][2140/3757] lr: 2.8081e-03 eta: 1 day, 6:20:46 time: 0.4320 data_time: 0.0186 memory: 17006 grad_norm: 9.1890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8370 loss: 1.8370 2022/07/29 14:47:42 - mmengine - INFO - Epoch(train) [117][2160/3757] lr: 2.8081e-03 eta: 1 day, 6:18:22 time: 0.3975 data_time: 0.0158 memory: 17006 grad_norm: 8.8337 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9152 loss: 1.9152 2022/07/29 14:47:50 - mmengine - INFO - Epoch(train) [117][2180/3757] lr: 2.8081e-03 eta: 1 day, 6:16:01 time: 0.3973 data_time: 0.0169 memory: 17006 grad_norm: 8.6519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3919 loss: 1.3919 2022/07/29 14:47:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 14:47:59 - mmengine - INFO - Epoch(train) [117][2200/3757] lr: 2.8081e-03 eta: 1 day, 6:14:41 time: 0.4250 data_time: 0.0187 memory: 17006 grad_norm: 8.7393 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7224 loss: 1.7224 2022/07/29 14:48:07 - mmengine - INFO - Epoch(train) [117][2220/3757] lr: 2.8081e-03 eta: 1 day, 6:12:31 time: 0.4006 data_time: 0.0184 memory: 17006 grad_norm: 8.8243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5897 loss: 1.5897 2022/07/29 14:48:15 - mmengine - INFO - Epoch(train) [117][2240/3757] lr: 2.8081e-03 eta: 1 day, 6:11:04 time: 0.4199 data_time: 0.0170 memory: 17006 grad_norm: 8.9114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6499 loss: 1.6499 2022/07/29 14:48:23 - mmengine - INFO - Epoch(train) [117][2260/3757] lr: 2.8081e-03 eta: 1 day, 6:08:57 time: 0.4001 data_time: 0.0187 memory: 17006 grad_norm: 8.9573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8620 loss: 1.8620 2022/07/29 14:48:32 - mmengine - INFO - Epoch(train) [117][2280/3757] lr: 2.8081e-03 eta: 1 day, 6:07:19 time: 0.4133 data_time: 0.0148 memory: 17006 grad_norm: 8.9492 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7524 loss: 1.7524 2022/07/29 14:48:40 - mmengine - INFO - Epoch(train) [117][2300/3757] lr: 2.8081e-03 eta: 1 day, 6:05:14 time: 0.3993 data_time: 0.0180 memory: 17006 grad_norm: 8.5091 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7246 loss: 1.7246 2022/07/29 14:48:48 - mmengine - INFO - Epoch(train) [117][2320/3757] lr: 2.8081e-03 eta: 1 day, 6:03:13 time: 0.4004 data_time: 0.0157 memory: 17006 grad_norm: 8.7411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8516 loss: 1.8516 2022/07/29 14:48:56 - mmengine - INFO - Epoch(train) [117][2340/3757] lr: 2.8081e-03 eta: 1 day, 6:02:13 time: 0.4293 data_time: 0.0194 memory: 17006 grad_norm: 8.9644 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7124 loss: 1.7124 2022/07/29 14:49:05 - mmengine - INFO - Epoch(train) [117][2360/3757] lr: 2.8081e-03 eta: 1 day, 6:01:16 time: 0.4302 data_time: 0.0147 memory: 17006 grad_norm: 8.5198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/07/29 14:49:13 - mmengine - INFO - Epoch(train) [117][2380/3757] lr: 2.8081e-03 eta: 1 day, 5:59:45 time: 0.4130 data_time: 0.0183 memory: 17006 grad_norm: 8.7522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5626 loss: 1.5626 2022/07/29 14:49:21 - mmengine - INFO - Epoch(train) [117][2400/3757] lr: 2.8081e-03 eta: 1 day, 5:57:46 time: 0.3981 data_time: 0.0158 memory: 17006 grad_norm: 9.0884 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7855 loss: 1.7855 2022/07/29 14:49:29 - mmengine - INFO - Epoch(train) [117][2420/3757] lr: 2.8081e-03 eta: 1 day, 5:55:52 time: 0.3998 data_time: 0.0181 memory: 17006 grad_norm: 8.5963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4850 loss: 1.4850 2022/07/29 14:49:39 - mmengine - INFO - Epoch(train) [117][2440/3757] lr: 2.8081e-03 eta: 1 day, 5:55:49 time: 0.4556 data_time: 0.0182 memory: 17006 grad_norm: 8.6845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4141 loss: 1.4141 2022/07/29 14:49:47 - mmengine - INFO - Epoch(train) [117][2460/3757] lr: 2.8081e-03 eta: 1 day, 5:53:56 time: 0.3990 data_time: 0.0175 memory: 17006 grad_norm: 8.6808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/07/29 14:49:56 - mmengine - INFO - Epoch(train) [117][2480/3757] lr: 2.8081e-03 eta: 1 day, 5:53:55 time: 0.4565 data_time: 0.0190 memory: 17006 grad_norm: 8.5894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/07/29 14:50:04 - mmengine - INFO - Epoch(train) [117][2500/3757] lr: 2.8081e-03 eta: 1 day, 5:52:34 time: 0.4148 data_time: 0.0183 memory: 17006 grad_norm: 8.5704 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4715 loss: 1.4715 2022/07/29 14:50:12 - mmengine - INFO - Epoch(train) [117][2520/3757] lr: 2.8081e-03 eta: 1 day, 5:51:06 time: 0.4103 data_time: 0.0151 memory: 17006 grad_norm: 8.5001 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5510 loss: 1.5510 2022/07/29 14:50:20 - mmengine - INFO - Epoch(train) [117][2540/3757] lr: 2.8081e-03 eta: 1 day, 5:49:21 time: 0.4002 data_time: 0.0173 memory: 17006 grad_norm: 8.6553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6991 loss: 1.6991 2022/07/29 14:50:29 - mmengine - INFO - Epoch(train) [117][2560/3757] lr: 2.8081e-03 eta: 1 day, 5:48:14 time: 0.4200 data_time: 0.0139 memory: 17006 grad_norm: 8.7883 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7552 loss: 1.7552 2022/07/29 14:50:37 - mmengine - INFO - Epoch(train) [117][2580/3757] lr: 2.8081e-03 eta: 1 day, 5:47:01 time: 0.4167 data_time: 0.0188 memory: 17006 grad_norm: 8.7005 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9204 loss: 1.9204 2022/07/29 14:50:45 - mmengine - INFO - Epoch(train) [117][2600/3757] lr: 2.8081e-03 eta: 1 day, 5:45:22 time: 0.4011 data_time: 0.0147 memory: 17006 grad_norm: 8.7616 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4666 loss: 1.4666 2022/07/29 14:50:53 - mmengine - INFO - Epoch(train) [117][2620/3757] lr: 2.8081e-03 eta: 1 day, 5:44:12 time: 0.4168 data_time: 0.0198 memory: 17006 grad_norm: 8.8040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7803 loss: 1.7803 2022/07/29 14:51:01 - mmengine - INFO - Epoch(train) [117][2640/3757] lr: 2.8081e-03 eta: 1 day, 5:42:30 time: 0.3985 data_time: 0.0160 memory: 17006 grad_norm: 8.9893 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8567 loss: 1.8567 2022/07/29 14:51:10 - mmengine - INFO - Epoch(train) [117][2660/3757] lr: 2.8081e-03 eta: 1 day, 5:41:27 time: 0.4200 data_time: 0.0189 memory: 17006 grad_norm: 8.7711 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6752 loss: 1.6752 2022/07/29 14:51:18 - mmengine - INFO - Epoch(train) [117][2680/3757] lr: 2.8081e-03 eta: 1 day, 5:40:33 time: 0.4237 data_time: 0.0178 memory: 17006 grad_norm: 8.5374 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5073 loss: 1.5073 2022/07/29 14:51:27 - mmengine - INFO - Epoch(train) [117][2700/3757] lr: 2.8081e-03 eta: 1 day, 5:39:13 time: 0.4092 data_time: 0.0190 memory: 17006 grad_norm: 8.7451 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7844 loss: 1.7844 2022/07/29 14:51:35 - mmengine - INFO - Epoch(train) [117][2720/3757] lr: 2.8081e-03 eta: 1 day, 5:38:13 time: 0.4197 data_time: 0.0185 memory: 17006 grad_norm: 8.5291 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4487 loss: 1.4487 2022/07/29 14:51:43 - mmengine - INFO - Epoch(train) [117][2740/3757] lr: 2.8081e-03 eta: 1 day, 5:36:59 time: 0.4111 data_time: 0.0177 memory: 17006 grad_norm: 8.6482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5405 loss: 1.5405 2022/07/29 14:51:51 - mmengine - INFO - Epoch(train) [117][2760/3757] lr: 2.8081e-03 eta: 1 day, 5:35:22 time: 0.3976 data_time: 0.0167 memory: 17006 grad_norm: 8.5724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5470 loss: 1.5470 2022/07/29 14:52:00 - mmengine - INFO - Epoch(train) [117][2780/3757] lr: 2.8081e-03 eta: 1 day, 5:34:39 time: 0.4284 data_time: 0.0192 memory: 17006 grad_norm: 8.4988 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7202 loss: 1.7202 2022/07/29 14:52:08 - mmengine - INFO - Epoch(train) [117][2800/3757] lr: 2.8081e-03 eta: 1 day, 5:33:46 time: 0.4218 data_time: 0.0160 memory: 17006 grad_norm: 9.2255 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6790 loss: 1.6790 2022/07/29 14:52:17 - mmengine - INFO - Epoch(train) [117][2820/3757] lr: 2.8081e-03 eta: 1 day, 5:32:32 time: 0.4092 data_time: 0.0197 memory: 17006 grad_norm: 8.5200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6448 loss: 1.6448 2022/07/29 14:52:25 - mmengine - INFO - Epoch(train) [117][2840/3757] lr: 2.8081e-03 eta: 1 day, 5:31:58 time: 0.4331 data_time: 0.0173 memory: 17006 grad_norm: 9.0895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6467 loss: 1.6467 2022/07/29 14:52:33 - mmengine - INFO - Epoch(train) [117][2860/3757] lr: 2.8081e-03 eta: 1 day, 5:30:43 time: 0.4076 data_time: 0.0167 memory: 17006 grad_norm: 9.1497 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5785 loss: 1.5785 2022/07/29 14:52:41 - mmengine - INFO - Epoch(train) [117][2880/3757] lr: 2.8081e-03 eta: 1 day, 5:29:13 time: 0.3982 data_time: 0.0165 memory: 17006 grad_norm: 8.9219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8806 loss: 1.8806 2022/07/29 14:52:49 - mmengine - INFO - Epoch(train) [117][2900/3757] lr: 2.8081e-03 eta: 1 day, 5:27:50 time: 0.4014 data_time: 0.0187 memory: 17006 grad_norm: 9.3071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5267 loss: 1.5267 2022/07/29 14:52:58 - mmengine - INFO - Epoch(train) [117][2920/3757] lr: 2.8081e-03 eta: 1 day, 5:26:44 time: 0.4115 data_time: 0.0177 memory: 17006 grad_norm: 8.6851 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4955 loss: 1.4955 2022/07/29 14:53:06 - mmengine - INFO - Epoch(train) [117][2940/3757] lr: 2.8081e-03 eta: 1 day, 5:25:33 time: 0.4080 data_time: 0.0175 memory: 17006 grad_norm: 8.5152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3674 loss: 1.3674 2022/07/29 14:53:14 - mmengine - INFO - Epoch(train) [117][2960/3757] lr: 2.8081e-03 eta: 1 day, 5:24:27 time: 0.4103 data_time: 0.0171 memory: 17006 grad_norm: 9.0859 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8541 loss: 1.8541 2022/07/29 14:53:22 - mmengine - INFO - Epoch(train) [117][2980/3757] lr: 2.8081e-03 eta: 1 day, 5:23:06 time: 0.4006 data_time: 0.0179 memory: 17006 grad_norm: 8.7975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7962 loss: 1.7962 2022/07/29 14:53:30 - mmengine - INFO - Epoch(train) [117][3000/3757] lr: 2.8081e-03 eta: 1 day, 5:21:45 time: 0.4000 data_time: 0.0188 memory: 17006 grad_norm: 8.5749 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4762 loss: 1.4762 2022/07/29 14:53:39 - mmengine - INFO - Epoch(train) [117][3020/3757] lr: 2.8081e-03 eta: 1 day, 5:21:15 time: 0.4312 data_time: 0.0203 memory: 17006 grad_norm: 8.5511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5832 loss: 1.5832 2022/07/29 14:53:47 - mmengine - INFO - Epoch(train) [117][3040/3757] lr: 2.8081e-03 eta: 1 day, 5:20:14 time: 0.4120 data_time: 0.0169 memory: 17006 grad_norm: 8.6419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8696 loss: 1.8696 2022/07/29 14:53:56 - mmengine - INFO - Epoch(train) [117][3060/3757] lr: 2.8081e-03 eta: 1 day, 5:19:33 time: 0.4240 data_time: 0.0172 memory: 17006 grad_norm: 8.5191 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7651 loss: 1.7651 2022/07/29 14:54:04 - mmengine - INFO - Epoch(train) [117][3080/3757] lr: 2.8081e-03 eta: 1 day, 5:18:16 time: 0.4005 data_time: 0.0184 memory: 17006 grad_norm: 8.4540 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8190 loss: 1.8190 2022/07/29 14:54:12 - mmengine - INFO - Epoch(train) [117][3100/3757] lr: 2.8081e-03 eta: 1 day, 5:17:03 time: 0.4026 data_time: 0.0178 memory: 17006 grad_norm: 9.0505 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8693 loss: 1.8693 2022/07/29 14:54:20 - mmengine - INFO - Epoch(train) [117][3120/3757] lr: 2.8081e-03 eta: 1 day, 5:16:05 time: 0.4119 data_time: 0.0189 memory: 17006 grad_norm: 8.7826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3323 loss: 1.3323 2022/07/29 14:54:28 - mmengine - INFO - Epoch(train) [117][3140/3757] lr: 2.8081e-03 eta: 1 day, 5:14:51 time: 0.4007 data_time: 0.0185 memory: 17006 grad_norm: 9.1039 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6655 loss: 1.6655 2022/07/29 14:54:36 - mmengine - INFO - Epoch(train) [117][3160/3757] lr: 2.8081e-03 eta: 1 day, 5:14:04 time: 0.4183 data_time: 0.0230 memory: 17006 grad_norm: 8.9978 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6781 loss: 1.6781 2022/07/29 14:54:44 - mmengine - INFO - Epoch(train) [117][3180/3757] lr: 2.8081e-03 eta: 1 day, 5:12:49 time: 0.3992 data_time: 0.0193 memory: 17006 grad_norm: 8.5810 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5120 loss: 1.5120 2022/07/29 14:54:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 14:54:54 - mmengine - INFO - Epoch(train) [117][3200/3757] lr: 2.8081e-03 eta: 1 day, 5:13:00 time: 0.4572 data_time: 0.0186 memory: 17006 grad_norm: 8.3670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3820 loss: 1.3820 2022/07/29 14:55:02 - mmengine - INFO - Epoch(train) [117][3220/3757] lr: 2.8081e-03 eta: 1 day, 5:11:45 time: 0.3982 data_time: 0.0176 memory: 17006 grad_norm: 8.6883 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7536 loss: 1.7536 2022/07/29 14:55:10 - mmengine - INFO - Epoch(train) [117][3240/3757] lr: 2.8081e-03 eta: 1 day, 5:10:33 time: 0.3998 data_time: 0.0180 memory: 17006 grad_norm: 9.0021 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6827 loss: 1.6827 2022/07/29 14:55:18 - mmengine - INFO - Epoch(train) [117][3260/3757] lr: 2.8081e-03 eta: 1 day, 5:09:40 time: 0.4126 data_time: 0.0188 memory: 17006 grad_norm: 8.8078 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8903 loss: 1.8903 2022/07/29 14:55:26 - mmengine - INFO - Epoch(train) [117][3280/3757] lr: 2.8081e-03 eta: 1 day, 5:08:28 time: 0.3991 data_time: 0.0183 memory: 17006 grad_norm: 8.7827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5594 loss: 1.5594 2022/07/29 14:55:34 - mmengine - INFO - Epoch(train) [117][3300/3757] lr: 2.8081e-03 eta: 1 day, 5:07:32 time: 0.4095 data_time: 0.0201 memory: 17006 grad_norm: 8.9183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7223 loss: 1.7223 2022/07/29 14:55:42 - mmengine - INFO - Epoch(train) [117][3320/3757] lr: 2.8081e-03 eta: 1 day, 5:06:24 time: 0.4005 data_time: 0.0175 memory: 17006 grad_norm: 8.7747 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8688 loss: 1.8688 2022/07/29 14:55:50 - mmengine - INFO - Epoch(train) [117][3340/3757] lr: 2.8081e-03 eta: 1 day, 5:05:14 time: 0.3991 data_time: 0.0186 memory: 17006 grad_norm: 8.5640 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5393 loss: 1.5393 2022/07/29 14:55:59 - mmengine - INFO - Epoch(train) [117][3360/3757] lr: 2.8081e-03 eta: 1 day, 5:04:31 time: 0.4174 data_time: 0.0209 memory: 17006 grad_norm: 9.0462 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6289 loss: 1.6289 2022/07/29 14:56:07 - mmengine - INFO - Epoch(train) [117][3380/3757] lr: 2.8081e-03 eta: 1 day, 5:03:33 time: 0.4060 data_time: 0.0183 memory: 17006 grad_norm: 8.7059 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.7354 loss: 1.7354 2022/07/29 14:56:15 - mmengine - INFO - Epoch(train) [117][3400/3757] lr: 2.8081e-03 eta: 1 day, 5:03:03 time: 0.4263 data_time: 0.0170 memory: 17006 grad_norm: 8.5001 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7797 loss: 1.7797 2022/07/29 14:56:23 - mmengine - INFO - Epoch(train) [117][3420/3757] lr: 2.8081e-03 eta: 1 day, 5:02:07 time: 0.4075 data_time: 0.0181 memory: 17006 grad_norm: 8.9724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3035 loss: 1.3035 2022/07/29 14:56:31 - mmengine - INFO - Epoch(train) [117][3440/3757] lr: 2.8081e-03 eta: 1 day, 5:00:58 time: 0.3971 data_time: 0.0161 memory: 17006 grad_norm: 8.7911 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4980 loss: 1.4980 2022/07/29 14:56:40 - mmengine - INFO - Epoch(train) [117][3460/3757] lr: 2.8081e-03 eta: 1 day, 5:00:39 time: 0.4331 data_time: 0.0197 memory: 17006 grad_norm: 8.8448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8845 loss: 1.8845 2022/07/29 14:56:48 - mmengine - INFO - Epoch(train) [117][3480/3757] lr: 2.8081e-03 eta: 1 day, 4:59:40 time: 0.4043 data_time: 0.0157 memory: 17006 grad_norm: 8.6802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7579 loss: 1.7579 2022/07/29 14:56:57 - mmengine - INFO - Epoch(train) [117][3500/3757] lr: 2.8081e-03 eta: 1 day, 4:59:03 time: 0.4196 data_time: 0.0218 memory: 17006 grad_norm: 8.4131 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6024 loss: 1.6024 2022/07/29 14:57:05 - mmengine - INFO - Epoch(train) [117][3520/3757] lr: 2.8081e-03 eta: 1 day, 4:57:58 time: 0.3982 data_time: 0.0162 memory: 17006 grad_norm: 8.6913 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5344 loss: 1.5344 2022/07/29 14:57:13 - mmengine - INFO - Epoch(train) [117][3540/3757] lr: 2.8081e-03 eta: 1 day, 4:57:35 time: 0.4294 data_time: 0.0195 memory: 17006 grad_norm: 8.9790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7677 loss: 1.7677 2022/07/29 14:57:21 - mmengine - INFO - Epoch(train) [117][3560/3757] lr: 2.8081e-03 eta: 1 day, 4:56:31 time: 0.3985 data_time: 0.0166 memory: 17006 grad_norm: 8.9699 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2871 loss: 2.2871 2022/07/29 14:57:29 - mmengine - INFO - Epoch(train) [117][3580/3757] lr: 2.8081e-03 eta: 1 day, 4:55:29 time: 0.4000 data_time: 0.0175 memory: 17006 grad_norm: 8.6221 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4967 loss: 1.4967 2022/07/29 14:57:38 - mmengine - INFO - Epoch(train) [117][3600/3757] lr: 2.8081e-03 eta: 1 day, 4:55:11 time: 0.4326 data_time: 0.0178 memory: 17006 grad_norm: 8.7496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5836 loss: 1.5836 2022/07/29 14:57:46 - mmengine - INFO - Epoch(train) [117][3620/3757] lr: 2.8081e-03 eta: 1 day, 4:54:13 time: 0.4017 data_time: 0.0171 memory: 17006 grad_norm: 9.1493 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6259 loss: 1.6259 2022/07/29 14:57:55 - mmengine - INFO - Epoch(train) [117][3640/3757] lr: 2.8081e-03 eta: 1 day, 4:53:52 time: 0.4307 data_time: 0.0189 memory: 17006 grad_norm: 8.8966 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0529 loss: 2.0529 2022/07/29 14:58:03 - mmengine - INFO - Epoch(train) [117][3660/3757] lr: 2.8081e-03 eta: 1 day, 4:52:56 time: 0.4021 data_time: 0.0186 memory: 17006 grad_norm: 8.6001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6584 loss: 1.6584 2022/07/29 14:58:11 - mmengine - INFO - Epoch(train) [117][3680/3757] lr: 2.8081e-03 eta: 1 day, 4:51:57 time: 0.4002 data_time: 0.0185 memory: 17006 grad_norm: 9.0579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6029 loss: 1.6029 2022/07/29 14:58:19 - mmengine - INFO - Epoch(train) [117][3700/3757] lr: 2.8081e-03 eta: 1 day, 4:51:15 time: 0.4132 data_time: 0.0181 memory: 17006 grad_norm: 9.3796 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9058 loss: 1.9058 2022/07/29 14:58:27 - mmengine - INFO - Epoch(train) [117][3720/3757] lr: 2.8081e-03 eta: 1 day, 4:50:20 time: 0.4023 data_time: 0.0181 memory: 17006 grad_norm: 8.8718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7041 loss: 1.7041 2022/07/29 14:58:36 - mmengine - INFO - Epoch(train) [117][3740/3757] lr: 2.8081e-03 eta: 1 day, 4:49:52 time: 0.4235 data_time: 0.0210 memory: 17006 grad_norm: 8.8765 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6793 loss: 1.6793 2022/07/29 14:58:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 14:58:42 - mmengine - INFO - Epoch(train) [117][3757/3757] lr: 2.8081e-03 eta: 1 day, 4:49:52 time: 0.3870 data_time: 0.0156 memory: 17006 grad_norm: 8.8263 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7116 loss: 1.7116 2022/07/29 14:58:42 - mmengine - INFO - Saving checkpoint at 117 epochs 2022/07/29 14:58:57 - mmengine - INFO - Epoch(train) [118][20/3757] lr: 2.7300e-03 eta: 1 day, 4:42:06 time: 0.4520 data_time: 0.0599 memory: 17006 grad_norm: 8.3709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4625 loss: 1.4625 2022/07/29 14:59:05 - mmengine - INFO - Epoch(train) [118][40/3757] lr: 2.7300e-03 eta: 1 day, 4:41:30 time: 0.4151 data_time: 0.0180 memory: 17006 grad_norm: 9.1227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7808 loss: 1.7808 2022/07/29 14:59:13 - mmengine - INFO - Epoch(train) [118][60/3757] lr: 2.7300e-03 eta: 1 day, 4:40:41 time: 0.4040 data_time: 0.0174 memory: 17006 grad_norm: 8.5866 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6567 loss: 1.6567 2022/07/29 14:59:21 - mmengine - INFO - Epoch(train) [118][80/3757] lr: 2.7300e-03 eta: 1 day, 4:39:47 time: 0.3994 data_time: 0.0188 memory: 17006 grad_norm: 8.4349 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8098 loss: 1.8098 2022/07/29 14:59:30 - mmengine - INFO - Epoch(train) [118][100/3757] lr: 2.7300e-03 eta: 1 day, 4:39:55 time: 0.4495 data_time: 0.0154 memory: 17006 grad_norm: 8.4135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6962 loss: 1.6962 2022/07/29 14:59:39 - mmengine - INFO - Epoch(train) [118][120/3757] lr: 2.7300e-03 eta: 1 day, 4:39:09 time: 0.4058 data_time: 0.0200 memory: 17006 grad_norm: 8.6543 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6105 loss: 1.6105 2022/07/29 14:59:47 - mmengine - INFO - Epoch(train) [118][140/3757] lr: 2.7300e-03 eta: 1 day, 4:38:50 time: 0.4277 data_time: 0.0157 memory: 17006 grad_norm: 8.5297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0461 loss: 2.0461 2022/07/29 14:59:55 - mmengine - INFO - Epoch(train) [118][160/3757] lr: 2.7300e-03 eta: 1 day, 4:38:01 time: 0.4024 data_time: 0.0202 memory: 17006 grad_norm: 8.9793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6543 loss: 1.6543 2022/07/29 15:00:04 - mmengine - INFO - Epoch(train) [118][180/3757] lr: 2.7300e-03 eta: 1 day, 4:37:33 time: 0.4198 data_time: 0.0160 memory: 17006 grad_norm: 9.0183 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7845 loss: 1.7845 2022/07/29 15:00:12 - mmengine - INFO - Epoch(train) [118][200/3757] lr: 2.7300e-03 eta: 1 day, 4:36:42 time: 0.4004 data_time: 0.0190 memory: 17006 grad_norm: 8.6556 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6177 loss: 1.6177 2022/07/29 15:00:20 - mmengine - INFO - Epoch(train) [118][220/3757] lr: 2.7300e-03 eta: 1 day, 4:36:04 time: 0.4114 data_time: 0.0181 memory: 17006 grad_norm: 8.9808 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8476 loss: 1.8476 2022/07/29 15:00:28 - mmengine - INFO - Epoch(train) [118][240/3757] lr: 2.7300e-03 eta: 1 day, 4:35:15 time: 0.4006 data_time: 0.0182 memory: 17006 grad_norm: 8.6841 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5965 loss: 1.5965 2022/07/29 15:00:36 - mmengine - INFO - Epoch(train) [118][260/3757] lr: 2.7300e-03 eta: 1 day, 4:34:41 time: 0.4144 data_time: 0.0189 memory: 17006 grad_norm: 8.8956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6146 loss: 1.6146 2022/07/29 15:00:44 - mmengine - INFO - Epoch(train) [118][280/3757] lr: 2.7300e-03 eta: 1 day, 4:33:51 time: 0.3999 data_time: 0.0189 memory: 17006 grad_norm: 8.6902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6689 loss: 1.6689 2022/07/29 15:00:52 - mmengine - INFO - Epoch(train) [118][300/3757] lr: 2.7300e-03 eta: 1 day, 4:33:01 time: 0.3989 data_time: 0.0173 memory: 17006 grad_norm: 8.6187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7742 loss: 1.7742 2022/07/29 15:01:00 - mmengine - INFO - Epoch(train) [118][320/3757] lr: 2.7300e-03 eta: 1 day, 4:32:15 time: 0.4028 data_time: 0.0194 memory: 17006 grad_norm: 8.8907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6752 loss: 1.6752 2022/07/29 15:01:09 - mmengine - INFO - Epoch(train) [118][340/3757] lr: 2.7300e-03 eta: 1 day, 4:31:48 time: 0.4194 data_time: 0.0155 memory: 17006 grad_norm: 9.0328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8411 loss: 1.8411 2022/07/29 15:01:17 - mmengine - INFO - Epoch(train) [118][360/3757] lr: 2.7300e-03 eta: 1 day, 4:31:02 time: 0.4021 data_time: 0.0199 memory: 17006 grad_norm: 8.5530 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4321 loss: 1.4321 2022/07/29 15:01:25 - mmengine - INFO - Epoch(train) [118][380/3757] lr: 2.7300e-03 eta: 1 day, 4:30:12 time: 0.3981 data_time: 0.0173 memory: 17006 grad_norm: 9.0594 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7589 loss: 1.7589 2022/07/29 15:01:33 - mmengine - INFO - Epoch(train) [118][400/3757] lr: 2.7300e-03 eta: 1 day, 4:29:28 time: 0.4029 data_time: 0.0194 memory: 17006 grad_norm: 8.9611 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5288 loss: 1.5288 2022/07/29 15:01:41 - mmengine - INFO - Epoch(train) [118][420/3757] lr: 2.7300e-03 eta: 1 day, 4:28:39 time: 0.3980 data_time: 0.0170 memory: 17006 grad_norm: 9.0627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4752 loss: 1.4752 2022/07/29 15:01:46 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:01:50 - mmengine - INFO - Epoch(train) [118][440/3757] lr: 2.7300e-03 eta: 1 day, 4:28:34 time: 0.4380 data_time: 0.0183 memory: 17006 grad_norm: 8.8180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8480 loss: 1.8480 2022/07/29 15:01:58 - mmengine - INFO - Epoch(train) [118][460/3757] lr: 2.7300e-03 eta: 1 day, 4:28:02 time: 0.4131 data_time: 0.0182 memory: 17006 grad_norm: 8.9076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3389 loss: 1.3389 2022/07/29 15:02:07 - mmengine - INFO - Epoch(train) [118][480/3757] lr: 2.7300e-03 eta: 1 day, 4:28:08 time: 0.4463 data_time: 0.0185 memory: 17006 grad_norm: 8.9417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8498 loss: 1.8498 2022/07/29 15:02:15 - mmengine - INFO - Epoch(train) [118][500/3757] lr: 2.7300e-03 eta: 1 day, 4:27:38 time: 0.4150 data_time: 0.0181 memory: 17006 grad_norm: 8.6271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6469 loss: 1.6469 2022/07/29 15:02:24 - mmengine - INFO - Epoch(train) [118][520/3757] lr: 2.7300e-03 eta: 1 day, 4:27:08 time: 0.4140 data_time: 0.0189 memory: 17006 grad_norm: 8.4732 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3748 loss: 1.3748 2022/07/29 15:02:32 - mmengine - INFO - Epoch(train) [118][540/3757] lr: 2.7300e-03 eta: 1 day, 4:26:20 time: 0.3984 data_time: 0.0169 memory: 17006 grad_norm: 8.8055 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5096 loss: 1.5096 2022/07/29 15:02:40 - mmengine - INFO - Epoch(train) [118][560/3757] lr: 2.7300e-03 eta: 1 day, 4:25:42 time: 0.4063 data_time: 0.0204 memory: 17006 grad_norm: 8.9241 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8107 loss: 1.8107 2022/07/29 15:02:48 - mmengine - INFO - Epoch(train) [118][580/3757] lr: 2.7300e-03 eta: 1 day, 4:24:58 time: 0.4017 data_time: 0.0176 memory: 17006 grad_norm: 9.1254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5908 loss: 1.5908 2022/07/29 15:02:57 - mmengine - INFO - Epoch(train) [118][600/3757] lr: 2.7300e-03 eta: 1 day, 4:24:54 time: 0.4370 data_time: 0.0213 memory: 17006 grad_norm: 8.7929 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4156 loss: 1.4156 2022/07/29 15:03:05 - mmengine - INFO - Epoch(train) [118][620/3757] lr: 2.7300e-03 eta: 1 day, 4:24:07 time: 0.3982 data_time: 0.0175 memory: 17006 grad_norm: 9.0123 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4980 loss: 1.4980 2022/07/29 15:03:13 - mmengine - INFO - Epoch(train) [118][640/3757] lr: 2.7300e-03 eta: 1 day, 4:23:33 time: 0.4091 data_time: 0.0182 memory: 17006 grad_norm: 9.3965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0329 loss: 2.0329 2022/07/29 15:03:22 - mmengine - INFO - Epoch(train) [118][660/3757] lr: 2.7300e-03 eta: 1 day, 4:24:07 time: 0.4728 data_time: 0.0193 memory: 17006 grad_norm: 8.9338 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7538 loss: 1.7538 2022/07/29 15:03:30 - mmengine - INFO - Epoch(train) [118][680/3757] lr: 2.7300e-03 eta: 1 day, 4:23:23 time: 0.4001 data_time: 0.0179 memory: 17006 grad_norm: 8.8497 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7189 loss: 1.7189 2022/07/29 15:03:40 - mmengine - INFO - Epoch(train) [118][700/3757] lr: 2.7300e-03 eta: 1 day, 4:23:39 time: 0.4563 data_time: 0.0192 memory: 17006 grad_norm: 8.8653 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5740 loss: 1.5740 2022/07/29 15:03:48 - mmengine - INFO - Epoch(train) [118][720/3757] lr: 2.7300e-03 eta: 1 day, 4:22:57 time: 0.4016 data_time: 0.0181 memory: 17006 grad_norm: 8.9670 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4418 loss: 1.4418 2022/07/29 15:03:56 - mmengine - INFO - Epoch(train) [118][740/3757] lr: 2.7300e-03 eta: 1 day, 4:22:28 time: 0.4137 data_time: 0.0191 memory: 17006 grad_norm: 8.9334 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5895 loss: 1.5895 2022/07/29 15:04:04 - mmengine - INFO - Epoch(train) [118][760/3757] lr: 2.7300e-03 eta: 1 day, 4:21:47 time: 0.4022 data_time: 0.0188 memory: 17006 grad_norm: 8.8723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5936 loss: 1.5936 2022/07/29 15:04:12 - mmengine - INFO - Epoch(train) [118][780/3757] lr: 2.7300e-03 eta: 1 day, 4:21:03 time: 0.3986 data_time: 0.0176 memory: 17006 grad_norm: 8.5631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7551 loss: 1.7551 2022/07/29 15:04:21 - mmengine - INFO - Epoch(train) [118][800/3757] lr: 2.7300e-03 eta: 1 day, 4:21:24 time: 0.4618 data_time: 0.0205 memory: 17006 grad_norm: 8.9036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9136 loss: 1.9136 2022/07/29 15:04:30 - mmengine - INFO - Epoch(train) [118][820/3757] lr: 2.7300e-03 eta: 1 day, 4:20:58 time: 0.4152 data_time: 0.0183 memory: 17006 grad_norm: 8.4892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7985 loss: 1.7985 2022/07/29 15:04:39 - mmengine - INFO - Epoch(train) [118][840/3757] lr: 2.7300e-03 eta: 1 day, 4:21:16 time: 0.4592 data_time: 0.0211 memory: 17006 grad_norm: 8.9635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7187 loss: 1.7187 2022/07/29 15:04:47 - mmengine - INFO - Epoch(train) [118][860/3757] lr: 2.7300e-03 eta: 1 day, 4:20:33 time: 0.3990 data_time: 0.0178 memory: 17006 grad_norm: 8.4833 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7353 loss: 1.7353 2022/07/29 15:04:56 - mmengine - INFO - Epoch(train) [118][880/3757] lr: 2.7300e-03 eta: 1 day, 4:20:51 time: 0.4590 data_time: 0.0204 memory: 17006 grad_norm: 8.6132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5544 loss: 1.5544 2022/07/29 15:05:04 - mmengine - INFO - Epoch(train) [118][900/3757] lr: 2.7300e-03 eta: 1 day, 4:20:08 time: 0.3985 data_time: 0.0179 memory: 17006 grad_norm: 8.5232 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5911 loss: 1.5911 2022/07/29 15:05:12 - mmengine - INFO - Epoch(train) [118][920/3757] lr: 2.7300e-03 eta: 1 day, 4:19:25 time: 0.3985 data_time: 0.0177 memory: 17006 grad_norm: 8.9473 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0045 loss: 2.0045 2022/07/29 15:05:21 - mmengine - INFO - Epoch(train) [118][940/3757] lr: 2.7300e-03 eta: 1 day, 4:19:42 time: 0.4584 data_time: 0.0182 memory: 17006 grad_norm: 8.5238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6084 loss: 1.6084 2022/07/29 15:05:29 - mmengine - INFO - Epoch(train) [118][960/3757] lr: 2.7300e-03 eta: 1 day, 4:19:00 time: 0.3994 data_time: 0.0189 memory: 17006 grad_norm: 8.4817 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 1.6509 loss: 1.6509 2022/07/29 15:05:38 - mmengine - INFO - Epoch(train) [118][980/3757] lr: 2.7300e-03 eta: 1 day, 4:18:57 time: 0.4380 data_time: 0.0190 memory: 17006 grad_norm: 8.9198 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6353 loss: 1.6353 2022/07/29 15:05:46 - mmengine - INFO - Epoch(train) [118][1000/3757] lr: 2.7300e-03 eta: 1 day, 4:18:17 time: 0.4009 data_time: 0.0190 memory: 17006 grad_norm: 8.5957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4759 loss: 1.4759 2022/07/29 15:05:55 - mmengine - INFO - Epoch(train) [118][1020/3757] lr: 2.7300e-03 eta: 1 day, 4:18:32 time: 0.4566 data_time: 0.0199 memory: 17006 grad_norm: 8.9069 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0167 loss: 2.0167 2022/07/29 15:06:03 - mmengine - INFO - Epoch(train) [118][1040/3757] lr: 2.7300e-03 eta: 1 day, 4:17:52 time: 0.4002 data_time: 0.0192 memory: 17006 grad_norm: 8.6266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6187 loss: 1.6187 2022/07/29 15:06:11 - mmengine - INFO - Epoch(train) [118][1060/3757] lr: 2.7300e-03 eta: 1 day, 4:17:12 time: 0.4002 data_time: 0.0164 memory: 17006 grad_norm: 8.4871 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7353 loss: 1.7353 2022/07/29 15:06:20 - mmengine - INFO - Epoch(train) [118][1080/3757] lr: 2.7300e-03 eta: 1 day, 4:16:44 time: 0.4122 data_time: 0.0188 memory: 17006 grad_norm: 8.6801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6221 loss: 1.6221 2022/07/29 15:06:28 - mmengine - INFO - Epoch(train) [118][1100/3757] lr: 2.7300e-03 eta: 1 day, 4:16:05 time: 0.4006 data_time: 0.0171 memory: 17006 grad_norm: 8.8756 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7437 loss: 1.7437 2022/07/29 15:06:36 - mmengine - INFO - Epoch(train) [118][1120/3757] lr: 2.7300e-03 eta: 1 day, 4:15:39 time: 0.4145 data_time: 0.0228 memory: 17006 grad_norm: 8.7697 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7771 loss: 1.7771 2022/07/29 15:06:44 - mmengine - INFO - Epoch(train) [118][1140/3757] lr: 2.7300e-03 eta: 1 day, 4:15:07 time: 0.4071 data_time: 0.0157 memory: 17006 grad_norm: 8.9341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5431 loss: 1.5431 2022/07/29 15:06:52 - mmengine - INFO - Epoch(train) [118][1160/3757] lr: 2.7300e-03 eta: 1 day, 4:14:26 time: 0.3980 data_time: 0.0173 memory: 17006 grad_norm: 9.1577 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5086 loss: 1.5086 2022/07/29 15:07:00 - mmengine - INFO - Epoch(train) [118][1180/3757] lr: 2.7300e-03 eta: 1 day, 4:14:03 time: 0.4165 data_time: 0.0228 memory: 17006 grad_norm: 8.7280 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7415 loss: 1.7415 2022/07/29 15:07:08 - mmengine - INFO - Epoch(train) [118][1200/3757] lr: 2.7300e-03 eta: 1 day, 4:13:26 time: 0.4021 data_time: 0.0183 memory: 17006 grad_norm: 8.6696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5556 loss: 1.5556 2022/07/29 15:07:17 - mmengine - INFO - Epoch(train) [118][1220/3757] lr: 2.7300e-03 eta: 1 day, 4:13:03 time: 0.4165 data_time: 0.0199 memory: 17006 grad_norm: 8.9898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5051 loss: 1.5051 2022/07/29 15:07:25 - mmengine - INFO - Epoch(train) [118][1240/3757] lr: 2.7300e-03 eta: 1 day, 4:12:26 time: 0.4016 data_time: 0.0208 memory: 17006 grad_norm: 8.7958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4741 loss: 1.4741 2022/07/29 15:07:33 - mmengine - INFO - Epoch(train) [118][1260/3757] lr: 2.7300e-03 eta: 1 day, 4:11:47 time: 0.3983 data_time: 0.0166 memory: 17006 grad_norm: 9.1354 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5973 loss: 1.5973 2022/07/29 15:07:41 - mmengine - INFO - Epoch(train) [118][1280/3757] lr: 2.7300e-03 eta: 1 day, 4:11:22 time: 0.4135 data_time: 0.0296 memory: 17006 grad_norm: 9.0241 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7319 loss: 1.7319 2022/07/29 15:07:50 - mmengine - INFO - Epoch(train) [118][1300/3757] lr: 2.7300e-03 eta: 1 day, 4:11:16 time: 0.4343 data_time: 0.0183 memory: 17006 grad_norm: 8.7565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2201 loss: 1.2201 2022/07/29 15:07:58 - mmengine - INFO - Epoch(train) [118][1320/3757] lr: 2.7300e-03 eta: 1 day, 4:10:59 time: 0.4221 data_time: 0.0202 memory: 17006 grad_norm: 9.3409 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9687 loss: 1.9687 2022/07/29 15:08:06 - mmengine - INFO - Epoch(train) [118][1340/3757] lr: 2.7300e-03 eta: 1 day, 4:10:24 time: 0.4019 data_time: 0.0182 memory: 17006 grad_norm: 8.6154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4500 loss: 1.4500 2022/07/29 15:08:15 - mmengine - INFO - Epoch(train) [118][1360/3757] lr: 2.7300e-03 eta: 1 day, 4:10:23 time: 0.4398 data_time: 0.0211 memory: 17006 grad_norm: 8.4348 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6193 loss: 1.6193 2022/07/29 15:08:24 - mmengine - INFO - Epoch(train) [118][1380/3757] lr: 2.7300e-03 eta: 1 day, 4:09:55 time: 0.4103 data_time: 0.0177 memory: 17006 grad_norm: 9.0005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8221 loss: 1.8221 2022/07/29 15:08:32 - mmengine - INFO - Epoch(train) [118][1400/3757] lr: 2.7300e-03 eta: 1 day, 4:09:17 time: 0.3982 data_time: 0.0183 memory: 17006 grad_norm: 8.7123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7523 loss: 1.7523 2022/07/29 15:08:40 - mmengine - INFO - Epoch(train) [118][1420/3757] lr: 2.7300e-03 eta: 1 day, 4:08:51 time: 0.4118 data_time: 0.0186 memory: 17006 grad_norm: 8.6460 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5752 loss: 1.5752 2022/07/29 15:08:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:08:48 - mmengine - INFO - Epoch(train) [118][1440/3757] lr: 2.7300e-03 eta: 1 day, 4:08:22 time: 0.4076 data_time: 0.0185 memory: 17006 grad_norm: 9.1993 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8261 loss: 1.8261 2022/07/29 15:08:56 - mmengine - INFO - Epoch(train) [118][1460/3757] lr: 2.7300e-03 eta: 1 day, 4:07:51 time: 0.4060 data_time: 0.0195 memory: 17006 grad_norm: 8.7943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7882 loss: 1.7882 2022/07/29 15:09:04 - mmengine - INFO - Epoch(train) [118][1480/3757] lr: 2.7300e-03 eta: 1 day, 4:07:20 time: 0.4058 data_time: 0.0193 memory: 17006 grad_norm: 8.9758 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7444 loss: 1.7444 2022/07/29 15:09:12 - mmengine - INFO - Epoch(train) [118][1500/3757] lr: 2.7300e-03 eta: 1 day, 4:06:43 time: 0.3992 data_time: 0.0181 memory: 17006 grad_norm: 9.3687 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5606 loss: 1.5606 2022/07/29 15:09:21 - mmengine - INFO - Epoch(train) [118][1520/3757] lr: 2.7300e-03 eta: 1 day, 4:06:19 time: 0.4127 data_time: 0.0219 memory: 17006 grad_norm: 8.6708 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7588 loss: 1.7588 2022/07/29 15:09:29 - mmengine - INFO - Epoch(train) [118][1540/3757] lr: 2.7300e-03 eta: 1 day, 4:06:07 time: 0.4259 data_time: 0.0197 memory: 17006 grad_norm: 8.3241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5259 loss: 1.5259 2022/07/29 15:09:38 - mmengine - INFO - Epoch(train) [118][1560/3757] lr: 2.7300e-03 eta: 1 day, 4:05:48 time: 0.4184 data_time: 0.0194 memory: 17006 grad_norm: 9.0598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5502 loss: 1.5502 2022/07/29 15:09:46 - mmengine - INFO - Epoch(train) [118][1580/3757] lr: 2.7300e-03 eta: 1 day, 4:05:18 time: 0.4058 data_time: 0.0194 memory: 17006 grad_norm: 8.1123 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4527 loss: 1.4527 2022/07/29 15:09:54 - mmengine - INFO - Epoch(train) [118][1600/3757] lr: 2.7300e-03 eta: 1 day, 4:05:01 time: 0.4208 data_time: 0.0189 memory: 17006 grad_norm: 8.5102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6276 loss: 1.6276 2022/07/29 15:10:02 - mmengine - INFO - Epoch(train) [118][1620/3757] lr: 2.7300e-03 eta: 1 day, 4:04:26 time: 0.4006 data_time: 0.0236 memory: 17006 grad_norm: 8.9632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9023 loss: 1.9023 2022/07/29 15:10:10 - mmengine - INFO - Epoch(train) [118][1640/3757] lr: 2.7300e-03 eta: 1 day, 4:03:52 time: 0.4008 data_time: 0.0193 memory: 17006 grad_norm: 8.8592 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7160 loss: 1.7160 2022/07/29 15:10:19 - mmengine - INFO - Epoch(train) [118][1660/3757] lr: 2.7300e-03 eta: 1 day, 4:03:40 time: 0.4255 data_time: 0.0207 memory: 17006 grad_norm: 8.5386 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7977 loss: 1.7977 2022/07/29 15:10:27 - mmengine - INFO - Epoch(train) [118][1680/3757] lr: 2.7300e-03 eta: 1 day, 4:03:07 time: 0.4012 data_time: 0.0197 memory: 17006 grad_norm: 8.9678 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7029 loss: 1.7029 2022/07/29 15:10:35 - mmengine - INFO - Epoch(train) [118][1700/3757] lr: 2.7300e-03 eta: 1 day, 4:02:44 time: 0.4128 data_time: 0.0176 memory: 17006 grad_norm: 8.6319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6926 loss: 1.6926 2022/07/29 15:10:43 - mmengine - INFO - Epoch(train) [118][1720/3757] lr: 2.7300e-03 eta: 1 day, 4:02:09 time: 0.3995 data_time: 0.0186 memory: 17006 grad_norm: 8.4683 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5926 loss: 1.5926 2022/07/29 15:10:51 - mmengine - INFO - Epoch(train) [118][1740/3757] lr: 2.7300e-03 eta: 1 day, 4:01:37 time: 0.4018 data_time: 0.0184 memory: 17006 grad_norm: 8.9342 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7292 loss: 1.7292 2022/07/29 15:10:59 - mmengine - INFO - Epoch(train) [118][1760/3757] lr: 2.7300e-03 eta: 1 day, 4:01:15 time: 0.4140 data_time: 0.0179 memory: 17006 grad_norm: 8.4182 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6493 loss: 1.6493 2022/07/29 15:11:08 - mmengine - INFO - Epoch(train) [118][1780/3757] lr: 2.7300e-03 eta: 1 day, 4:01:18 time: 0.4424 data_time: 0.0191 memory: 17006 grad_norm: 8.8350 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6084 loss: 1.6084 2022/07/29 15:11:17 - mmengine - INFO - Epoch(train) [118][1800/3757] lr: 2.7300e-03 eta: 1 day, 4:01:03 time: 0.4220 data_time: 0.0200 memory: 17006 grad_norm: 8.5152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6766 loss: 1.6766 2022/07/29 15:11:25 - mmengine - INFO - Epoch(train) [118][1820/3757] lr: 2.7300e-03 eta: 1 day, 4:00:29 time: 0.3991 data_time: 0.0177 memory: 17006 grad_norm: 8.7315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5620 loss: 1.5620 2022/07/29 15:11:33 - mmengine - INFO - Epoch(train) [118][1840/3757] lr: 2.7300e-03 eta: 1 day, 3:59:55 time: 0.3996 data_time: 0.0179 memory: 17006 grad_norm: 8.4548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7662 loss: 1.7662 2022/07/29 15:11:42 - mmengine - INFO - Epoch(train) [118][1860/3757] lr: 2.7300e-03 eta: 1 day, 4:00:15 time: 0.4630 data_time: 0.0211 memory: 17006 grad_norm: 8.8752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6226 loss: 1.6226 2022/07/29 15:11:50 - mmengine - INFO - Epoch(train) [118][1880/3757] lr: 2.7300e-03 eta: 1 day, 3:59:42 time: 0.4009 data_time: 0.0206 memory: 17006 grad_norm: 8.5536 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4915 loss: 1.4915 2022/07/29 15:12:00 - mmengine - INFO - Epoch(train) [118][1900/3757] lr: 2.7300e-03 eta: 1 day, 4:00:08 time: 0.4706 data_time: 0.0187 memory: 17006 grad_norm: 9.2953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5810 loss: 1.5810 2022/07/29 15:12:08 - mmengine - INFO - Epoch(train) [118][1920/3757] lr: 2.7300e-03 eta: 1 day, 3:59:40 time: 0.4052 data_time: 0.0185 memory: 17006 grad_norm: 8.8434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6224 loss: 1.6224 2022/07/29 15:12:16 - mmengine - INFO - Epoch(train) [118][1940/3757] lr: 2.7300e-03 eta: 1 day, 3:59:21 time: 0.4170 data_time: 0.0179 memory: 17006 grad_norm: 8.7031 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5383 loss: 1.5383 2022/07/29 15:12:24 - mmengine - INFO - Epoch(train) [118][1960/3757] lr: 2.7300e-03 eta: 1 day, 3:58:50 time: 0.4014 data_time: 0.0196 memory: 17006 grad_norm: 8.7466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5786 loss: 1.5786 2022/07/29 15:12:32 - mmengine - INFO - Epoch(train) [118][1980/3757] lr: 2.7300e-03 eta: 1 day, 3:58:17 time: 0.3998 data_time: 0.0181 memory: 17006 grad_norm: 8.9862 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6397 loss: 1.6397 2022/07/29 15:12:41 - mmengine - INFO - Epoch(train) [118][2000/3757] lr: 2.7300e-03 eta: 1 day, 3:57:58 time: 0.4162 data_time: 0.0209 memory: 17006 grad_norm: 8.6859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6484 loss: 1.6484 2022/07/29 15:12:49 - mmengine - INFO - Epoch(train) [118][2020/3757] lr: 2.7300e-03 eta: 1 day, 3:57:26 time: 0.3997 data_time: 0.0176 memory: 17006 grad_norm: 8.9042 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5627 loss: 1.5627 2022/07/29 15:12:57 - mmengine - INFO - Epoch(train) [118][2040/3757] lr: 2.7300e-03 eta: 1 day, 3:57:09 time: 0.4188 data_time: 0.0197 memory: 17006 grad_norm: 8.7870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7303 loss: 1.7303 2022/07/29 15:13:05 - mmengine - INFO - Epoch(train) [118][2060/3757] lr: 2.7300e-03 eta: 1 day, 3:56:37 time: 0.4000 data_time: 0.0182 memory: 17006 grad_norm: 9.0047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6399 loss: 1.6399 2022/07/29 15:13:13 - mmengine - INFO - Epoch(train) [118][2080/3757] lr: 2.7300e-03 eta: 1 day, 3:56:05 time: 0.4001 data_time: 0.0192 memory: 17006 grad_norm: 8.9817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9739 loss: 1.9739 2022/07/29 15:13:21 - mmengine - INFO - Epoch(train) [118][2100/3757] lr: 2.7300e-03 eta: 1 day, 3:55:47 time: 0.4170 data_time: 0.0194 memory: 17006 grad_norm: 8.8754 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5685 loss: 1.5685 2022/07/29 15:13:29 - mmengine - INFO - Epoch(train) [118][2120/3757] lr: 2.7300e-03 eta: 1 day, 3:55:15 time: 0.3984 data_time: 0.0177 memory: 17006 grad_norm: 8.8702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7877 loss: 1.7877 2022/07/29 15:13:38 - mmengine - INFO - Epoch(train) [118][2140/3757] lr: 2.7300e-03 eta: 1 day, 3:55:05 time: 0.4268 data_time: 0.0201 memory: 17006 grad_norm: 8.9683 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5708 loss: 1.5708 2022/07/29 15:13:46 - mmengine - INFO - Epoch(train) [118][2160/3757] lr: 2.7300e-03 eta: 1 day, 3:54:34 time: 0.4008 data_time: 0.0191 memory: 17006 grad_norm: 8.6591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7059 loss: 1.7059 2022/07/29 15:13:55 - mmengine - INFO - Epoch(train) [118][2180/3757] lr: 2.7300e-03 eta: 1 day, 3:54:33 time: 0.4377 data_time: 0.0213 memory: 17006 grad_norm: 8.6847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5739 loss: 1.5739 2022/07/29 15:14:03 - mmengine - INFO - Epoch(train) [118][2200/3757] lr: 2.7300e-03 eta: 1 day, 3:54:00 time: 0.3978 data_time: 0.0187 memory: 17006 grad_norm: 9.0994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8951 loss: 1.8951 2022/07/29 15:14:11 - mmengine - INFO - Epoch(train) [118][2220/3757] lr: 2.7300e-03 eta: 1 day, 3:53:33 time: 0.4047 data_time: 0.0201 memory: 17006 grad_norm: 9.0706 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6963 loss: 1.6963 2022/07/29 15:14:20 - mmengine - INFO - Epoch(train) [118][2240/3757] lr: 2.7300e-03 eta: 1 day, 3:53:37 time: 0.4438 data_time: 0.0211 memory: 17006 grad_norm: 8.6418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3380 loss: 1.3380 2022/07/29 15:14:28 - mmengine - INFO - Epoch(train) [118][2260/3757] lr: 2.7300e-03 eta: 1 day, 3:53:07 time: 0.4007 data_time: 0.0191 memory: 17006 grad_norm: 8.5225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7496 loss: 1.7496 2022/07/29 15:14:37 - mmengine - INFO - Epoch(train) [118][2280/3757] lr: 2.7300e-03 eta: 1 day, 3:53:28 time: 0.4663 data_time: 0.0220 memory: 17006 grad_norm: 8.9207 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6541 loss: 1.6541 2022/07/29 15:14:45 - mmengine - INFO - Epoch(train) [118][2300/3757] lr: 2.7300e-03 eta: 1 day, 3:52:58 time: 0.4006 data_time: 0.0188 memory: 17006 grad_norm: 9.0433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7741 loss: 1.7741 2022/07/29 15:14:53 - mmengine - INFO - Epoch(train) [118][2320/3757] lr: 2.7300e-03 eta: 1 day, 3:52:28 time: 0.4006 data_time: 0.0192 memory: 17006 grad_norm: 9.0833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7053 loss: 1.7053 2022/07/29 15:15:02 - mmengine - INFO - Epoch(train) [118][2340/3757] lr: 2.7300e-03 eta: 1 day, 3:52:24 time: 0.4348 data_time: 0.0208 memory: 17006 grad_norm: 8.8556 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6365 loss: 1.6365 2022/07/29 15:15:10 - mmengine - INFO - Epoch(train) [118][2360/3757] lr: 2.7300e-03 eta: 1 day, 3:51:54 time: 0.3996 data_time: 0.0183 memory: 17006 grad_norm: 9.0269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6012 loss: 1.6012 2022/07/29 15:15:19 - mmengine - INFO - Epoch(train) [118][2380/3757] lr: 2.7300e-03 eta: 1 day, 3:51:43 time: 0.4256 data_time: 0.0210 memory: 17006 grad_norm: 8.5939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3692 loss: 1.3692 2022/07/29 15:15:27 - mmengine - INFO - Epoch(train) [118][2400/3757] lr: 2.7300e-03 eta: 1 day, 3:51:13 time: 0.3995 data_time: 0.0189 memory: 17006 grad_norm: 8.7921 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6405 loss: 1.6405 2022/07/29 15:15:36 - mmengine - INFO - Epoch(train) [118][2420/3757] lr: 2.7300e-03 eta: 1 day, 3:51:32 time: 0.4635 data_time: 0.0210 memory: 17006 grad_norm: 8.6561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4413 loss: 1.4413 2022/07/29 15:15:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:15:44 - mmengine - INFO - Epoch(train) [118][2440/3757] lr: 2.7300e-03 eta: 1 day, 3:51:01 time: 0.3989 data_time: 0.0191 memory: 17006 grad_norm: 8.6338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7221 loss: 1.7221 2022/07/29 15:15:52 - mmengine - INFO - Epoch(train) [118][2460/3757] lr: 2.7300e-03 eta: 1 day, 3:50:30 time: 0.3977 data_time: 0.0165 memory: 17006 grad_norm: 8.8779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7896 loss: 1.7896 2022/07/29 15:16:00 - mmengine - INFO - Epoch(train) [118][2480/3757] lr: 2.7300e-03 eta: 1 day, 3:50:08 time: 0.4104 data_time: 0.0217 memory: 17006 grad_norm: 8.9297 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8169 loss: 1.8169 2022/07/29 15:16:08 - mmengine - INFO - Epoch(train) [118][2500/3757] lr: 2.7300e-03 eta: 1 day, 3:49:39 time: 0.4005 data_time: 0.0171 memory: 17006 grad_norm: 9.1800 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6332 loss: 1.6332 2022/07/29 15:16:16 - mmengine - INFO - Epoch(train) [118][2520/3757] lr: 2.7300e-03 eta: 1 day, 3:49:21 time: 0.4160 data_time: 0.0250 memory: 17006 grad_norm: 9.1311 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9586 loss: 1.9586 2022/07/29 15:16:25 - mmengine - INFO - Epoch(train) [118][2540/3757] lr: 2.7300e-03 eta: 1 day, 3:48:56 time: 0.4052 data_time: 0.0208 memory: 17006 grad_norm: 8.9375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7749 loss: 1.7749 2022/07/29 15:16:33 - mmengine - INFO - Epoch(train) [118][2560/3757] lr: 2.7300e-03 eta: 1 day, 3:48:27 time: 0.3994 data_time: 0.0187 memory: 17006 grad_norm: 9.1673 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8432 loss: 1.8432 2022/07/29 15:16:41 - mmengine - INFO - Epoch(train) [118][2580/3757] lr: 2.7300e-03 eta: 1 day, 3:48:02 time: 0.4055 data_time: 0.0184 memory: 17006 grad_norm: 8.7938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5005 loss: 1.5005 2022/07/29 15:16:50 - mmengine - INFO - Epoch(train) [118][2600/3757] lr: 2.7300e-03 eta: 1 day, 3:48:08 time: 0.4480 data_time: 0.0188 memory: 17006 grad_norm: 8.7207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5648 loss: 1.5648 2022/07/29 15:16:58 - mmengine - INFO - Epoch(train) [118][2620/3757] lr: 2.7300e-03 eta: 1 day, 3:47:51 time: 0.4159 data_time: 0.0210 memory: 17006 grad_norm: 9.1405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6898 loss: 1.6898 2022/07/29 15:17:06 - mmengine - INFO - Epoch(train) [118][2640/3757] lr: 2.7300e-03 eta: 1 day, 3:47:24 time: 0.4019 data_time: 0.0194 memory: 17006 grad_norm: 8.8036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/07/29 15:17:14 - mmengine - INFO - Epoch(train) [118][2660/3757] lr: 2.7300e-03 eta: 1 day, 3:46:55 time: 0.4000 data_time: 0.0182 memory: 17006 grad_norm: 8.6250 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6752 loss: 1.6752 2022/07/29 15:17:22 - mmengine - INFO - Epoch(train) [118][2680/3757] lr: 2.7300e-03 eta: 1 day, 3:46:29 time: 0.4024 data_time: 0.0183 memory: 17006 grad_norm: 8.9573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6615 loss: 1.6615 2022/07/29 15:17:31 - mmengine - INFO - Epoch(train) [118][2700/3757] lr: 2.7300e-03 eta: 1 day, 3:46:24 time: 0.4324 data_time: 0.0182 memory: 17006 grad_norm: 8.5603 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5651 loss: 1.5651 2022/07/29 15:17:39 - mmengine - INFO - Epoch(train) [118][2720/3757] lr: 2.7300e-03 eta: 1 day, 3:46:09 time: 0.4184 data_time: 0.0202 memory: 17006 grad_norm: 8.9986 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6596 loss: 1.6596 2022/07/29 15:17:47 - mmengine - INFO - Epoch(train) [118][2740/3757] lr: 2.7300e-03 eta: 1 day, 3:45:44 time: 0.4049 data_time: 0.0192 memory: 17006 grad_norm: 9.0448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8636 loss: 1.8636 2022/07/29 15:17:56 - mmengine - INFO - Epoch(train) [118][2760/3757] lr: 2.7300e-03 eta: 1 day, 3:45:25 time: 0.4117 data_time: 0.0180 memory: 17006 grad_norm: 8.5061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7632 loss: 1.7632 2022/07/29 15:18:04 - mmengine - INFO - Epoch(train) [118][2780/3757] lr: 2.7300e-03 eta: 1 day, 3:44:56 time: 0.3995 data_time: 0.0185 memory: 17006 grad_norm: 8.6857 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5251 loss: 1.5251 2022/07/29 15:18:13 - mmengine - INFO - Epoch(train) [118][2800/3757] lr: 2.7300e-03 eta: 1 day, 3:45:02 time: 0.4468 data_time: 0.0181 memory: 17006 grad_norm: 8.9954 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8500 loss: 1.8500 2022/07/29 15:18:21 - mmengine - INFO - Epoch(train) [118][2820/3757] lr: 2.7300e-03 eta: 1 day, 3:44:44 time: 0.4138 data_time: 0.0211 memory: 17006 grad_norm: 8.7795 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0395 loss: 2.0395 2022/07/29 15:18:29 - mmengine - INFO - Epoch(train) [118][2840/3757] lr: 2.7300e-03 eta: 1 day, 3:44:16 time: 0.4001 data_time: 0.0190 memory: 17006 grad_norm: 8.8516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4647 loss: 1.4647 2022/07/29 15:18:38 - mmengine - INFO - Epoch(train) [118][2860/3757] lr: 2.7300e-03 eta: 1 day, 3:44:05 time: 0.4233 data_time: 0.0177 memory: 17006 grad_norm: 8.7026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6830 loss: 1.6830 2022/07/29 15:18:46 - mmengine - INFO - Epoch(train) [118][2880/3757] lr: 2.7300e-03 eta: 1 day, 3:43:38 time: 0.4014 data_time: 0.0195 memory: 17006 grad_norm: 8.3818 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6756 loss: 1.6756 2022/07/29 15:18:54 - mmengine - INFO - Epoch(train) [118][2900/3757] lr: 2.7300e-03 eta: 1 day, 3:43:11 time: 0.3998 data_time: 0.0200 memory: 17006 grad_norm: 8.7937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5514 loss: 1.5514 2022/07/29 15:19:02 - mmengine - INFO - Epoch(train) [118][2920/3757] lr: 2.7300e-03 eta: 1 day, 3:42:49 time: 0.4074 data_time: 0.0200 memory: 17006 grad_norm: 9.0095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7180 loss: 1.7180 2022/07/29 15:19:10 - mmengine - INFO - Epoch(train) [118][2940/3757] lr: 2.7300e-03 eta: 1 day, 3:42:29 time: 0.4112 data_time: 0.0187 memory: 17006 grad_norm: 8.8813 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7462 loss: 1.7462 2022/07/29 15:19:18 - mmengine - INFO - Epoch(train) [118][2960/3757] lr: 2.7300e-03 eta: 1 day, 3:42:05 time: 0.4045 data_time: 0.0214 memory: 17006 grad_norm: 8.6972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7212 loss: 1.7212 2022/07/29 15:19:27 - mmengine - INFO - Epoch(train) [118][2980/3757] lr: 2.7300e-03 eta: 1 day, 3:42:13 time: 0.4505 data_time: 0.0191 memory: 17006 grad_norm: 8.5256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7416 loss: 1.7416 2022/07/29 15:19:35 - mmengine - INFO - Epoch(train) [118][3000/3757] lr: 2.7300e-03 eta: 1 day, 3:41:54 time: 0.4119 data_time: 0.0210 memory: 17006 grad_norm: 8.7533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9264 loss: 1.9264 2022/07/29 15:19:43 - mmengine - INFO - Epoch(train) [118][3020/3757] lr: 2.7300e-03 eta: 1 day, 3:41:27 time: 0.3994 data_time: 0.0175 memory: 17006 grad_norm: 8.4851 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8063 loss: 1.8063 2022/07/29 15:19:52 - mmengine - INFO - Epoch(train) [118][3040/3757] lr: 2.7300e-03 eta: 1 day, 3:41:01 time: 0.4013 data_time: 0.0182 memory: 17006 grad_norm: 8.8220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5776 loss: 1.5776 2022/07/29 15:20:00 - mmengine - INFO - Epoch(train) [118][3060/3757] lr: 2.7300e-03 eta: 1 day, 3:40:54 time: 0.4288 data_time: 0.0212 memory: 17006 grad_norm: 8.7621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/07/29 15:20:08 - mmengine - INFO - Epoch(train) [118][3080/3757] lr: 2.7300e-03 eta: 1 day, 3:40:31 time: 0.4055 data_time: 0.0193 memory: 17006 grad_norm: 8.6861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3315 loss: 1.3315 2022/07/29 15:20:16 - mmengine - INFO - Epoch(train) [118][3100/3757] lr: 2.7300e-03 eta: 1 day, 3:40:07 time: 0.4036 data_time: 0.0206 memory: 17006 grad_norm: 8.7840 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9160 loss: 1.9160 2022/07/29 15:20:25 - mmengine - INFO - Epoch(train) [118][3120/3757] lr: 2.7300e-03 eta: 1 day, 3:39:51 time: 0.4156 data_time: 0.0193 memory: 17006 grad_norm: 8.8958 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8304 loss: 1.8304 2022/07/29 15:20:33 - mmengine - INFO - Epoch(train) [118][3140/3757] lr: 2.7300e-03 eta: 1 day, 3:39:25 time: 0.3999 data_time: 0.0197 memory: 17006 grad_norm: 9.0339 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6243 loss: 1.6243 2022/07/29 15:20:41 - mmengine - INFO - Epoch(train) [118][3160/3757] lr: 2.7300e-03 eta: 1 day, 3:39:00 time: 0.4028 data_time: 0.0207 memory: 17006 grad_norm: 8.9801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5829 loss: 1.5829 2022/07/29 15:20:50 - mmengine - INFO - Epoch(train) [118][3180/3757] lr: 2.7300e-03 eta: 1 day, 3:39:06 time: 0.4469 data_time: 0.0194 memory: 17006 grad_norm: 8.5707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7607 loss: 1.7607 2022/07/29 15:20:58 - mmengine - INFO - Epoch(train) [118][3200/3757] lr: 2.7300e-03 eta: 1 day, 3:38:44 time: 0.4066 data_time: 0.0245 memory: 17006 grad_norm: 8.7356 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4923 loss: 1.4923 2022/07/29 15:21:06 - mmengine - INFO - Epoch(train) [118][3220/3757] lr: 2.7300e-03 eta: 1 day, 3:38:26 time: 0.4120 data_time: 0.0176 memory: 17006 grad_norm: 9.0639 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6386 loss: 1.6386 2022/07/29 15:21:14 - mmengine - INFO - Epoch(train) [118][3240/3757] lr: 2.7300e-03 eta: 1 day, 3:38:00 time: 0.3996 data_time: 0.0183 memory: 17006 grad_norm: 8.8390 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7899 loss: 1.7899 2022/07/29 15:21:22 - mmengine - INFO - Epoch(train) [118][3260/3757] lr: 2.7300e-03 eta: 1 day, 3:37:41 time: 0.4107 data_time: 0.0227 memory: 17006 grad_norm: 8.8765 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7708 loss: 1.7708 2022/07/29 15:21:31 - mmengine - INFO - Epoch(train) [118][3280/3757] lr: 2.7300e-03 eta: 1 day, 3:37:15 time: 0.4009 data_time: 0.0207 memory: 17006 grad_norm: 8.8700 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7400 loss: 1.7400 2022/07/29 15:21:39 - mmengine - INFO - Epoch(train) [118][3300/3757] lr: 2.7300e-03 eta: 1 day, 3:37:04 time: 0.4221 data_time: 0.0181 memory: 17006 grad_norm: 8.8721 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9716 loss: 1.9716 2022/07/29 15:21:47 - mmengine - INFO - Epoch(train) [118][3320/3757] lr: 2.7300e-03 eta: 1 day, 3:36:51 time: 0.4184 data_time: 0.0214 memory: 17006 grad_norm: 8.3383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5597 loss: 1.5597 2022/07/29 15:21:56 - mmengine - INFO - Epoch(train) [118][3340/3757] lr: 2.7300e-03 eta: 1 day, 3:36:31 time: 0.4087 data_time: 0.0205 memory: 17006 grad_norm: 8.5312 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6579 loss: 1.6579 2022/07/29 15:22:04 - mmengine - INFO - Epoch(train) [118][3360/3757] lr: 2.7300e-03 eta: 1 day, 3:36:05 time: 0.3994 data_time: 0.0183 memory: 17006 grad_norm: 8.5999 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8288 loss: 1.8288 2022/07/29 15:22:12 - mmengine - INFO - Epoch(train) [118][3380/3757] lr: 2.7300e-03 eta: 1 day, 3:35:41 time: 0.4026 data_time: 0.0194 memory: 17006 grad_norm: 8.6893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5261 loss: 1.5261 2022/07/29 15:22:21 - mmengine - INFO - Epoch(train) [118][3400/3757] lr: 2.7300e-03 eta: 1 day, 3:35:53 time: 0.4562 data_time: 0.0207 memory: 17006 grad_norm: 8.6238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6435 loss: 1.6435 2022/07/29 15:22:29 - mmengine - INFO - Epoch(train) [118][3420/3757] lr: 2.7300e-03 eta: 1 day, 3:35:31 time: 0.4061 data_time: 0.0215 memory: 17006 grad_norm: 8.7949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5594 loss: 1.5594 2022/07/29 15:22:33 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:22:38 - mmengine - INFO - Epoch(train) [118][3440/3757] lr: 2.7300e-03 eta: 1 day, 3:35:32 time: 0.4398 data_time: 0.0188 memory: 17006 grad_norm: 8.6958 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8836 loss: 1.8836 2022/07/29 15:22:46 - mmengine - INFO - Epoch(train) [118][3460/3757] lr: 2.7300e-03 eta: 1 day, 3:35:12 time: 0.4090 data_time: 0.0222 memory: 17006 grad_norm: 8.7850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6446 loss: 1.6446 2022/07/29 15:22:54 - mmengine - INFO - Epoch(train) [118][3480/3757] lr: 2.7300e-03 eta: 1 day, 3:34:46 time: 0.3986 data_time: 0.0194 memory: 17006 grad_norm: 8.7178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5315 loss: 1.5315 2022/07/29 15:23:03 - mmengine - INFO - Epoch(train) [118][3500/3757] lr: 2.7300e-03 eta: 1 day, 3:34:53 time: 0.4495 data_time: 0.0192 memory: 17006 grad_norm: 9.0628 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7205 loss: 1.7205 2022/07/29 15:23:11 - mmengine - INFO - Epoch(train) [118][3520/3757] lr: 2.7300e-03 eta: 1 day, 3:34:31 time: 0.4041 data_time: 0.0214 memory: 17006 grad_norm: 9.5548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8312 loss: 1.8312 2022/07/29 15:23:20 - mmengine - INFO - Epoch(train) [118][3540/3757] lr: 2.7300e-03 eta: 1 day, 3:34:16 time: 0.4164 data_time: 0.0194 memory: 17006 grad_norm: 8.7805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8686 loss: 1.8686 2022/07/29 15:23:28 - mmengine - INFO - Epoch(train) [118][3560/3757] lr: 2.7300e-03 eta: 1 day, 3:33:54 time: 0.4038 data_time: 0.0214 memory: 17006 grad_norm: 8.8159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4357 loss: 1.4357 2022/07/29 15:23:36 - mmengine - INFO - Epoch(train) [118][3580/3757] lr: 2.7300e-03 eta: 1 day, 3:33:45 time: 0.4256 data_time: 0.0187 memory: 17006 grad_norm: 8.8783 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5637 loss: 1.5637 2022/07/29 15:23:44 - mmengine - INFO - Epoch(train) [118][3600/3757] lr: 2.7300e-03 eta: 1 day, 3:33:21 time: 0.4011 data_time: 0.0203 memory: 17006 grad_norm: 9.2143 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6646 loss: 1.6646 2022/07/29 15:23:52 - mmengine - INFO - Epoch(train) [118][3620/3757] lr: 2.7300e-03 eta: 1 day, 3:32:57 time: 0.4010 data_time: 0.0185 memory: 17006 grad_norm: 8.9614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6418 loss: 1.6418 2022/07/29 15:24:01 - mmengine - INFO - Epoch(train) [118][3640/3757] lr: 2.7300e-03 eta: 1 day, 3:32:56 time: 0.4374 data_time: 0.0196 memory: 17006 grad_norm: 8.4676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4348 loss: 1.4348 2022/07/29 15:24:09 - mmengine - INFO - Epoch(train) [118][3660/3757] lr: 2.7300e-03 eta: 1 day, 3:32:32 time: 0.4010 data_time: 0.0176 memory: 17006 grad_norm: 9.0272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7189 loss: 1.7189 2022/07/29 15:24:18 - mmengine - INFO - Epoch(train) [118][3680/3757] lr: 2.7300e-03 eta: 1 day, 3:32:48 time: 0.4649 data_time: 0.0190 memory: 17006 grad_norm: 9.0646 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5283 loss: 1.5283 2022/07/29 15:24:26 - mmengine - INFO - Epoch(train) [118][3700/3757] lr: 2.7300e-03 eta: 1 day, 3:32:25 time: 0.4018 data_time: 0.0172 memory: 17006 grad_norm: 8.7771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7749 loss: 1.7749 2022/07/29 15:24:34 - mmengine - INFO - Epoch(train) [118][3720/3757] lr: 2.7300e-03 eta: 1 day, 3:32:00 time: 0.3990 data_time: 0.0191 memory: 17006 grad_norm: 9.2326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7610 loss: 1.7610 2022/07/29 15:24:43 - mmengine - INFO - Epoch(train) [118][3740/3757] lr: 2.7300e-03 eta: 1 day, 3:32:04 time: 0.4463 data_time: 0.0181 memory: 17006 grad_norm: 8.9599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6434 loss: 1.6434 2022/07/29 15:24:50 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:24:50 - mmengine - INFO - Epoch(train) [118][3757/3757] lr: 2.7300e-03 eta: 1 day, 3:32:04 time: 0.3920 data_time: 0.0180 memory: 17006 grad_norm: 8.8863 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.8135 loss: 1.8135 2022/07/29 15:24:50 - mmengine - INFO - Saving checkpoint at 118 epochs 2022/07/29 15:25:06 - mmengine - INFO - Epoch(train) [119][20/3757] lr: 2.6526e-03 eta: 1 day, 3:28:50 time: 0.4991 data_time: 0.0760 memory: 17006 grad_norm: 8.7631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6517 loss: 1.6517 2022/07/29 15:25:14 - mmengine - INFO - Epoch(train) [119][40/3757] lr: 2.6526e-03 eta: 1 day, 3:28:27 time: 0.4011 data_time: 0.0202 memory: 17006 grad_norm: 8.7829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6189 loss: 1.6189 2022/07/29 15:25:22 - mmengine - INFO - Epoch(train) [119][60/3757] lr: 2.6526e-03 eta: 1 day, 3:28:03 time: 0.3995 data_time: 0.0155 memory: 17006 grad_norm: 8.9019 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6376 loss: 1.6376 2022/07/29 15:25:31 - mmengine - INFO - Epoch(train) [119][80/3757] lr: 2.6526e-03 eta: 1 day, 3:28:00 time: 0.4332 data_time: 0.0210 memory: 17006 grad_norm: 8.7345 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7459 loss: 1.7459 2022/07/29 15:25:39 - mmengine - INFO - Epoch(train) [119][100/3757] lr: 2.6526e-03 eta: 1 day, 3:27:35 time: 0.3983 data_time: 0.0158 memory: 17006 grad_norm: 8.9553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4821 loss: 1.4821 2022/07/29 15:25:47 - mmengine - INFO - Epoch(train) [119][120/3757] lr: 2.6526e-03 eta: 1 day, 3:27:29 time: 0.4282 data_time: 0.0201 memory: 17006 grad_norm: 8.9439 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8017 loss: 1.8017 2022/07/29 15:25:55 - mmengine - INFO - Epoch(train) [119][140/3757] lr: 2.6526e-03 eta: 1 day, 3:27:05 time: 0.3989 data_time: 0.0160 memory: 17006 grad_norm: 9.0637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9244 loss: 1.9244 2022/07/29 15:26:06 - mmengine - INFO - Epoch(train) [119][160/3757] lr: 2.6526e-03 eta: 1 day, 3:27:56 time: 0.5220 data_time: 0.0190 memory: 17006 grad_norm: 9.0386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4802 loss: 1.4802 2022/07/29 15:26:15 - mmengine - INFO - Epoch(train) [119][180/3757] lr: 2.6526e-03 eta: 1 day, 3:27:56 time: 0.4386 data_time: 0.0181 memory: 17006 grad_norm: 8.6032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9931 loss: 1.9931 2022/07/29 15:26:23 - mmengine - INFO - Epoch(train) [119][200/3757] lr: 2.6526e-03 eta: 1 day, 3:27:34 time: 0.4028 data_time: 0.0194 memory: 17006 grad_norm: 8.5248 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5641 loss: 1.5641 2022/07/29 15:26:32 - mmengine - INFO - Epoch(train) [119][220/3757] lr: 2.6526e-03 eta: 1 day, 3:27:57 time: 0.4775 data_time: 0.0169 memory: 17006 grad_norm: 9.0864 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5836 loss: 1.5836 2022/07/29 15:26:41 - mmengine - INFO - Epoch(train) [119][240/3757] lr: 2.6526e-03 eta: 1 day, 3:27:53 time: 0.4316 data_time: 0.0177 memory: 17006 grad_norm: 9.1056 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7364 loss: 1.7364 2022/07/29 15:26:49 - mmengine - INFO - Epoch(train) [119][260/3757] lr: 2.6526e-03 eta: 1 day, 3:27:40 time: 0.4187 data_time: 0.0191 memory: 17006 grad_norm: 8.5367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5988 loss: 1.5988 2022/07/29 15:26:58 - mmengine - INFO - Epoch(train) [119][280/3757] lr: 2.6526e-03 eta: 1 day, 3:27:19 time: 0.4031 data_time: 0.0158 memory: 17006 grad_norm: 8.9583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4953 loss: 1.4953 2022/07/29 15:27:06 - mmengine - INFO - Epoch(train) [119][300/3757] lr: 2.6526e-03 eta: 1 day, 3:27:18 time: 0.4375 data_time: 0.0199 memory: 17006 grad_norm: 8.6053 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7680 loss: 1.7680 2022/07/29 15:27:14 - mmengine - INFO - Epoch(train) [119][320/3757] lr: 2.6526e-03 eta: 1 day, 3:26:54 time: 0.3990 data_time: 0.0168 memory: 17006 grad_norm: 9.1909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7593 loss: 1.7593 2022/07/29 15:27:22 - mmengine - INFO - Epoch(train) [119][340/3757] lr: 2.6526e-03 eta: 1 day, 3:26:34 time: 0.4045 data_time: 0.0180 memory: 17006 grad_norm: 8.8011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6244 loss: 1.6244 2022/07/29 15:27:31 - mmengine - INFO - Epoch(train) [119][360/3757] lr: 2.6526e-03 eta: 1 day, 3:26:20 time: 0.4157 data_time: 0.0204 memory: 17006 grad_norm: 8.7901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5830 loss: 1.5830 2022/07/29 15:27:39 - mmengine - INFO - Epoch(train) [119][380/3757] lr: 2.6526e-03 eta: 1 day, 3:26:13 time: 0.4270 data_time: 0.0198 memory: 17006 grad_norm: 8.8145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7860 loss: 1.7860 2022/07/29 15:27:48 - mmengine - INFO - Epoch(train) [119][400/3757] lr: 2.6526e-03 eta: 1 day, 3:26:04 time: 0.4252 data_time: 0.0158 memory: 17006 grad_norm: 8.9314 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6489 loss: 1.6489 2022/07/29 15:27:57 - mmengine - INFO - Epoch(train) [119][420/3757] lr: 2.6526e-03 eta: 1 day, 3:26:20 time: 0.4661 data_time: 0.0191 memory: 17006 grad_norm: 8.6746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7288 loss: 1.7288 2022/07/29 15:28:06 - mmengine - INFO - Epoch(train) [119][440/3757] lr: 2.6526e-03 eta: 1 day, 3:26:32 time: 0.4599 data_time: 0.0159 memory: 17006 grad_norm: 8.7588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5454 loss: 1.5454 2022/07/29 15:28:15 - mmengine - INFO - Epoch(train) [119][460/3757] lr: 2.6526e-03 eta: 1 day, 3:26:38 time: 0.4498 data_time: 0.0215 memory: 17006 grad_norm: 8.6478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6480 loss: 1.6480 2022/07/29 15:28:23 - mmengine - INFO - Epoch(train) [119][480/3757] lr: 2.6526e-03 eta: 1 day, 3:26:13 time: 0.3967 data_time: 0.0150 memory: 17006 grad_norm: 8.5502 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6158 loss: 1.6158 2022/07/29 15:28:32 - mmengine - INFO - Epoch(train) [119][500/3757] lr: 2.6526e-03 eta: 1 day, 3:26:08 time: 0.4306 data_time: 0.0218 memory: 17006 grad_norm: 8.6221 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8935 loss: 1.8935 2022/07/29 15:28:40 - mmengine - INFO - Epoch(train) [119][520/3757] lr: 2.6526e-03 eta: 1 day, 3:25:43 time: 0.3969 data_time: 0.0156 memory: 17006 grad_norm: 8.8355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8339 loss: 1.8339 2022/07/29 15:28:50 - mmengine - INFO - Epoch(train) [119][540/3757] lr: 2.6526e-03 eta: 1 day, 3:26:04 time: 0.4749 data_time: 0.0211 memory: 17006 grad_norm: 9.1257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6834 loss: 1.6834 2022/07/29 15:28:58 - mmengine - INFO - Epoch(train) [119][560/3757] lr: 2.6526e-03 eta: 1 day, 3:25:39 time: 0.3975 data_time: 0.0164 memory: 17006 grad_norm: 8.6867 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6820 loss: 1.6820 2022/07/29 15:29:06 - mmengine - INFO - Epoch(train) [119][580/3757] lr: 2.6526e-03 eta: 1 day, 3:25:30 time: 0.4243 data_time: 0.0198 memory: 17006 grad_norm: 8.8052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6033 loss: 1.6033 2022/07/29 15:29:14 - mmengine - INFO - Epoch(train) [119][600/3757] lr: 2.6526e-03 eta: 1 day, 3:25:06 time: 0.3978 data_time: 0.0191 memory: 17006 grad_norm: 8.6962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6799 loss: 1.6799 2022/07/29 15:29:22 - mmengine - INFO - Epoch(train) [119][620/3757] lr: 2.6526e-03 eta: 1 day, 3:24:44 time: 0.4004 data_time: 0.0210 memory: 17006 grad_norm: 8.8198 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7207 loss: 1.7207 2022/07/29 15:29:31 - mmengine - INFO - Epoch(train) [119][640/3757] lr: 2.6526e-03 eta: 1 day, 3:24:35 time: 0.4231 data_time: 0.0182 memory: 17006 grad_norm: 8.7042 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6491 loss: 1.6491 2022/07/29 15:29:39 - mmengine - INFO - Epoch(train) [119][660/3757] lr: 2.6526e-03 eta: 1 day, 3:24:13 time: 0.4010 data_time: 0.0183 memory: 17006 grad_norm: 8.3592 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7381 loss: 1.7381 2022/07/29 15:29:47 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:29:49 - mmengine - INFO - Epoch(train) [119][680/3757] lr: 2.6526e-03 eta: 1 day, 3:24:59 time: 0.5215 data_time: 0.0177 memory: 17006 grad_norm: 9.1633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6465 loss: 1.6465 2022/07/29 15:29:57 - mmengine - INFO - Epoch(train) [119][700/3757] lr: 2.6526e-03 eta: 1 day, 3:24:36 time: 0.4000 data_time: 0.0188 memory: 17006 grad_norm: 8.9719 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7380 loss: 1.7380 2022/07/29 15:30:05 - mmengine - INFO - Epoch(train) [119][720/3757] lr: 2.6526e-03 eta: 1 day, 3:24:13 time: 0.3980 data_time: 0.0172 memory: 17006 grad_norm: 8.8794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7506 loss: 1.7506 2022/07/29 15:30:14 - mmengine - INFO - Epoch(train) [119][740/3757] lr: 2.6526e-03 eta: 1 day, 3:24:08 time: 0.4311 data_time: 0.0365 memory: 17006 grad_norm: 9.0795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6393 loss: 1.6393 2022/07/29 15:30:22 - mmengine - INFO - Epoch(train) [119][760/3757] lr: 2.6526e-03 eta: 1 day, 3:23:43 time: 0.3969 data_time: 0.0156 memory: 17006 grad_norm: 9.0806 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9935 loss: 1.9935 2022/07/29 15:30:31 - mmengine - INFO - Epoch(train) [119][780/3757] lr: 2.6526e-03 eta: 1 day, 3:23:52 time: 0.4549 data_time: 0.0194 memory: 17006 grad_norm: 9.2197 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8607 loss: 1.8607 2022/07/29 15:30:39 - mmengine - INFO - Epoch(train) [119][800/3757] lr: 2.6526e-03 eta: 1 day, 3:23:28 time: 0.3966 data_time: 0.0178 memory: 17006 grad_norm: 8.8318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4987 loss: 1.4987 2022/07/29 15:30:47 - mmengine - INFO - Epoch(train) [119][820/3757] lr: 2.6526e-03 eta: 1 day, 3:23:13 time: 0.4147 data_time: 0.0203 memory: 17006 grad_norm: 8.6955 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5424 loss: 1.5424 2022/07/29 15:30:55 - mmengine - INFO - Epoch(train) [119][840/3757] lr: 2.6526e-03 eta: 1 day, 3:22:50 time: 0.3973 data_time: 0.0156 memory: 17006 grad_norm: 8.5951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3528 loss: 1.3528 2022/07/29 15:31:03 - mmengine - INFO - Epoch(train) [119][860/3757] lr: 2.6526e-03 eta: 1 day, 3:22:27 time: 0.3991 data_time: 0.0184 memory: 17006 grad_norm: 8.8498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5664 loss: 1.5664 2022/07/29 15:31:11 - mmengine - INFO - Epoch(train) [119][880/3757] lr: 2.6526e-03 eta: 1 day, 3:22:11 time: 0.4111 data_time: 0.0167 memory: 17006 grad_norm: 8.8126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8633 loss: 1.8633 2022/07/29 15:31:19 - mmengine - INFO - Epoch(train) [119][900/3757] lr: 2.6526e-03 eta: 1 day, 3:21:48 time: 0.3991 data_time: 0.0189 memory: 17006 grad_norm: 8.7995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8188 loss: 1.8188 2022/07/29 15:31:29 - mmengine - INFO - Epoch(train) [119][920/3757] lr: 2.6526e-03 eta: 1 day, 3:22:00 time: 0.4607 data_time: 0.0182 memory: 17006 grad_norm: 8.8291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4824 loss: 1.4824 2022/07/29 15:31:37 - mmengine - INFO - Epoch(train) [119][940/3757] lr: 2.6526e-03 eta: 1 day, 3:21:37 time: 0.3994 data_time: 0.0185 memory: 17006 grad_norm: 8.7094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4550 loss: 1.4550 2022/07/29 15:31:45 - mmengine - INFO - Epoch(train) [119][960/3757] lr: 2.6526e-03 eta: 1 day, 3:21:14 time: 0.3977 data_time: 0.0158 memory: 17006 grad_norm: 9.1367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6774 loss: 1.6774 2022/07/29 15:31:54 - mmengine - INFO - Epoch(train) [119][980/3757] lr: 2.6526e-03 eta: 1 day, 3:21:33 time: 0.4747 data_time: 0.0203 memory: 17006 grad_norm: 9.0272 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7072 loss: 1.7072 2022/07/29 15:32:02 - mmengine - INFO - Epoch(train) [119][1000/3757] lr: 2.6526e-03 eta: 1 day, 3:21:10 time: 0.3971 data_time: 0.0153 memory: 17006 grad_norm: 9.2555 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8106 loss: 1.8106 2022/07/29 15:32:11 - mmengine - INFO - Epoch(train) [119][1020/3757] lr: 2.6526e-03 eta: 1 day, 3:21:17 time: 0.4527 data_time: 0.0168 memory: 17006 grad_norm: 9.2541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8298 loss: 1.8298 2022/07/29 15:32:19 - mmengine - INFO - Epoch(train) [119][1040/3757] lr: 2.6526e-03 eta: 1 day, 3:20:57 time: 0.4041 data_time: 0.0174 memory: 17006 grad_norm: 8.6931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5294 loss: 1.5294 2022/07/29 15:32:29 - mmengine - INFO - Epoch(train) [119][1060/3757] lr: 2.6526e-03 eta: 1 day, 3:21:11 time: 0.4661 data_time: 0.0701 memory: 17006 grad_norm: 8.7129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4788 loss: 1.4788 2022/07/29 15:32:37 - mmengine - INFO - Epoch(train) [119][1080/3757] lr: 2.6526e-03 eta: 1 day, 3:20:50 time: 0.4024 data_time: 0.0143 memory: 17006 grad_norm: 9.2548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4788 loss: 1.4788 2022/07/29 15:32:45 - mmengine - INFO - Epoch(train) [119][1100/3757] lr: 2.6526e-03 eta: 1 day, 3:20:28 time: 0.3983 data_time: 0.0186 memory: 17006 grad_norm: 9.0462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6926 loss: 1.6926 2022/07/29 15:32:53 - mmengine - INFO - Epoch(train) [119][1120/3757] lr: 2.6526e-03 eta: 1 day, 3:20:10 time: 0.4067 data_time: 0.0171 memory: 17006 grad_norm: 9.1324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5301 loss: 1.5301 2022/07/29 15:33:02 - mmengine - INFO - Epoch(train) [119][1140/3757] lr: 2.6526e-03 eta: 1 day, 3:20:07 time: 0.4351 data_time: 0.0189 memory: 17006 grad_norm: 9.1144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0068 loss: 2.0068 2022/07/29 15:33:10 - mmengine - INFO - Epoch(train) [119][1160/3757] lr: 2.6526e-03 eta: 1 day, 3:19:50 time: 0.4085 data_time: 0.0170 memory: 17006 grad_norm: 8.6089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5397 loss: 1.5397 2022/07/29 15:33:18 - mmengine - INFO - Epoch(train) [119][1180/3757] lr: 2.6526e-03 eta: 1 day, 3:19:32 time: 0.4069 data_time: 0.0200 memory: 17006 grad_norm: 8.7930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7949 loss: 1.7949 2022/07/29 15:33:26 - mmengine - INFO - Epoch(train) [119][1200/3757] lr: 2.6526e-03 eta: 1 day, 3:19:14 time: 0.4066 data_time: 0.0163 memory: 17006 grad_norm: 8.8072 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6189 loss: 1.6189 2022/07/29 15:33:34 - mmengine - INFO - Epoch(train) [119][1220/3757] lr: 2.6526e-03 eta: 1 day, 3:18:52 time: 0.3999 data_time: 0.0192 memory: 17006 grad_norm: 8.5917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7013 loss: 1.7013 2022/07/29 15:33:42 - mmengine - INFO - Epoch(train) [119][1240/3757] lr: 2.6526e-03 eta: 1 day, 3:18:31 time: 0.4007 data_time: 0.0164 memory: 17006 grad_norm: 8.4634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5415 loss: 1.5415 2022/07/29 15:33:51 - mmengine - INFO - Epoch(train) [119][1260/3757] lr: 2.6526e-03 eta: 1 day, 3:18:22 time: 0.4224 data_time: 0.0207 memory: 17006 grad_norm: 8.9207 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3168 loss: 1.3168 2022/07/29 15:33:59 - mmengine - INFO - Epoch(train) [119][1280/3757] lr: 2.6526e-03 eta: 1 day, 3:18:00 time: 0.3991 data_time: 0.0162 memory: 17006 grad_norm: 8.8064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7196 loss: 1.7196 2022/07/29 15:34:07 - mmengine - INFO - Epoch(train) [119][1300/3757] lr: 2.6526e-03 eta: 1 day, 3:17:48 time: 0.4165 data_time: 0.0220 memory: 17006 grad_norm: 8.8892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8786 loss: 1.8786 2022/07/29 15:34:15 - mmengine - INFO - Epoch(train) [119][1320/3757] lr: 2.6526e-03 eta: 1 day, 3:17:26 time: 0.3984 data_time: 0.0156 memory: 17006 grad_norm: 8.6086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7038 loss: 1.7038 2022/07/29 15:34:24 - mmengine - INFO - Epoch(train) [119][1340/3757] lr: 2.6526e-03 eta: 1 day, 3:17:19 time: 0.4282 data_time: 0.0191 memory: 17006 grad_norm: 8.9079 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9712 loss: 1.9712 2022/07/29 15:34:32 - mmengine - INFO - Epoch(train) [119][1360/3757] lr: 2.6526e-03 eta: 1 day, 3:17:15 time: 0.4328 data_time: 0.0222 memory: 17006 grad_norm: 8.6864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5220 loss: 1.5220 2022/07/29 15:34:40 - mmengine - INFO - Epoch(train) [119][1380/3757] lr: 2.6526e-03 eta: 1 day, 3:16:56 time: 0.4034 data_time: 0.0186 memory: 17006 grad_norm: 9.0024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6239 loss: 1.6239 2022/07/29 15:34:49 - mmengine - INFO - Epoch(train) [119][1400/3757] lr: 2.6526e-03 eta: 1 day, 3:16:44 time: 0.4186 data_time: 0.0190 memory: 17006 grad_norm: 8.9710 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/07/29 15:34:57 - mmengine - INFO - Epoch(train) [119][1420/3757] lr: 2.6526e-03 eta: 1 day, 3:16:37 time: 0.4269 data_time: 0.0193 memory: 17006 grad_norm: 8.7354 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7603 loss: 1.7603 2022/07/29 15:35:05 - mmengine - INFO - Epoch(train) [119][1440/3757] lr: 2.6526e-03 eta: 1 day, 3:16:16 time: 0.3992 data_time: 0.0179 memory: 17006 grad_norm: 8.7135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/07/29 15:35:14 - mmengine - INFO - Epoch(train) [119][1460/3757] lr: 2.6526e-03 eta: 1 day, 3:16:11 time: 0.4309 data_time: 0.0214 memory: 17006 grad_norm: 9.2225 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6099 loss: 1.6099 2022/07/29 15:35:22 - mmengine - INFO - Epoch(train) [119][1480/3757] lr: 2.6526e-03 eta: 1 day, 3:15:51 time: 0.4010 data_time: 0.0185 memory: 17006 grad_norm: 8.7603 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1633 loss: 2.1633 2022/07/29 15:35:30 - mmengine - INFO - Epoch(train) [119][1500/3757] lr: 2.6526e-03 eta: 1 day, 3:15:40 time: 0.4196 data_time: 0.0212 memory: 17006 grad_norm: 8.7476 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4457 loss: 1.4457 2022/07/29 15:35:38 - mmengine - INFO - Epoch(train) [119][1520/3757] lr: 2.6526e-03 eta: 1 day, 3:15:19 time: 0.4008 data_time: 0.0176 memory: 17006 grad_norm: 9.1277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6564 loss: 1.6564 2022/07/29 15:35:47 - mmengine - INFO - Epoch(train) [119][1540/3757] lr: 2.6526e-03 eta: 1 day, 3:15:07 time: 0.4170 data_time: 0.0223 memory: 17006 grad_norm: 9.3828 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6276 loss: 1.6276 2022/07/29 15:35:55 - mmengine - INFO - Epoch(train) [119][1560/3757] lr: 2.6526e-03 eta: 1 day, 3:14:46 time: 0.3988 data_time: 0.0164 memory: 17006 grad_norm: 9.0692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5641 loss: 1.5641 2022/07/29 15:36:03 - mmengine - INFO - Epoch(train) [119][1580/3757] lr: 2.6526e-03 eta: 1 day, 3:14:28 time: 0.4054 data_time: 0.0191 memory: 17006 grad_norm: 9.0077 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8165 loss: 1.8165 2022/07/29 15:36:12 - mmengine - INFO - Epoch(train) [119][1600/3757] lr: 2.6526e-03 eta: 1 day, 3:14:22 time: 0.4285 data_time: 0.0212 memory: 17006 grad_norm: 8.6781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7910 loss: 1.7910 2022/07/29 15:36:20 - mmengine - INFO - Epoch(train) [119][1620/3757] lr: 2.6526e-03 eta: 1 day, 3:14:23 time: 0.4421 data_time: 0.0196 memory: 17006 grad_norm: 8.8939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0807 loss: 2.0807 2022/07/29 15:36:29 - mmengine - INFO - Epoch(train) [119][1640/3757] lr: 2.6526e-03 eta: 1 day, 3:14:09 time: 0.4139 data_time: 0.0175 memory: 17006 grad_norm: 9.0519 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7037 loss: 1.7037 2022/07/29 15:36:37 - mmengine - INFO - Epoch(train) [119][1660/3757] lr: 2.6526e-03 eta: 1 day, 3:13:49 time: 0.4006 data_time: 0.0200 memory: 17006 grad_norm: 8.7498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8631 loss: 1.8631 2022/07/29 15:36:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:36:45 - mmengine - INFO - Epoch(train) [119][1680/3757] lr: 2.6526e-03 eta: 1 day, 3:13:28 time: 0.3996 data_time: 0.0169 memory: 17006 grad_norm: 9.1609 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/07/29 15:36:53 - mmengine - INFO - Epoch(train) [119][1700/3757] lr: 2.6526e-03 eta: 1 day, 3:13:17 time: 0.4181 data_time: 0.0200 memory: 17006 grad_norm: 9.0340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5844 loss: 1.5844 2022/07/29 15:37:01 - mmengine - INFO - Epoch(train) [119][1720/3757] lr: 2.6526e-03 eta: 1 day, 3:12:56 time: 0.3996 data_time: 0.0165 memory: 17006 grad_norm: 8.9271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7717 loss: 1.7717 2022/07/29 15:37:10 - mmengine - INFO - Epoch(train) [119][1740/3757] lr: 2.6526e-03 eta: 1 day, 3:12:54 time: 0.4363 data_time: 0.0212 memory: 17006 grad_norm: 9.1379 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6696 loss: 1.6696 2022/07/29 15:37:18 - mmengine - INFO - Epoch(train) [119][1760/3757] lr: 2.6526e-03 eta: 1 day, 3:12:34 time: 0.4004 data_time: 0.0190 memory: 17006 grad_norm: 8.8744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8645 loss: 1.8645 2022/07/29 15:37:26 - mmengine - INFO - Epoch(train) [119][1780/3757] lr: 2.6526e-03 eta: 1 day, 3:12:14 time: 0.4011 data_time: 0.0188 memory: 17006 grad_norm: 9.2025 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9338 loss: 1.9338 2022/07/29 15:37:34 - mmengine - INFO - Epoch(train) [119][1800/3757] lr: 2.6526e-03 eta: 1 day, 3:11:55 time: 0.4021 data_time: 0.0179 memory: 17006 grad_norm: 9.4308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1279 loss: 2.1279 2022/07/29 15:37:42 - mmengine - INFO - Epoch(train) [119][1820/3757] lr: 2.6526e-03 eta: 1 day, 3:11:35 time: 0.4005 data_time: 0.0203 memory: 17006 grad_norm: 8.8447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6126 loss: 1.6126 2022/07/29 15:37:51 - mmengine - INFO - Epoch(train) [119][1840/3757] lr: 2.6526e-03 eta: 1 day, 3:11:40 time: 0.4496 data_time: 0.0163 memory: 17006 grad_norm: 8.7963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8432 loss: 1.8432 2022/07/29 15:37:59 - mmengine - INFO - Epoch(train) [119][1860/3757] lr: 2.6526e-03 eta: 1 day, 3:11:20 time: 0.4007 data_time: 0.0187 memory: 17006 grad_norm: 8.8083 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5959 loss: 1.5959 2022/07/29 15:38:09 - mmengine - INFO - Epoch(train) [119][1880/3757] lr: 2.6526e-03 eta: 1 day, 3:11:36 time: 0.4738 data_time: 0.0191 memory: 17006 grad_norm: 9.2772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8550 loss: 1.8550 2022/07/29 15:38:17 - mmengine - INFO - Epoch(train) [119][1900/3757] lr: 2.6526e-03 eta: 1 day, 3:11:16 time: 0.4002 data_time: 0.0193 memory: 17006 grad_norm: 8.8279 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6335 loss: 1.6335 2022/07/29 15:38:25 - mmengine - INFO - Epoch(train) [119][1920/3757] lr: 2.6526e-03 eta: 1 day, 3:10:56 time: 0.3993 data_time: 0.0185 memory: 17006 grad_norm: 9.5123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9349 loss: 1.9349 2022/07/29 15:38:34 - mmengine - INFO - Epoch(train) [119][1940/3757] lr: 2.6526e-03 eta: 1 day, 3:11:04 time: 0.4587 data_time: 0.0217 memory: 17006 grad_norm: 8.8161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4843 loss: 1.4843 2022/07/29 15:38:42 - mmengine - INFO - Epoch(train) [119][1960/3757] lr: 2.6526e-03 eta: 1 day, 3:10:44 time: 0.3994 data_time: 0.0184 memory: 17006 grad_norm: 8.5450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5417 loss: 1.5417 2022/07/29 15:38:51 - mmengine - INFO - Epoch(train) [119][1980/3757] lr: 2.6526e-03 eta: 1 day, 3:10:38 time: 0.4284 data_time: 0.0206 memory: 17006 grad_norm: 8.7243 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6727 loss: 1.6727 2022/07/29 15:38:59 - mmengine - INFO - Epoch(train) [119][2000/3757] lr: 2.6526e-03 eta: 1 day, 3:10:20 time: 0.4042 data_time: 0.0187 memory: 17006 grad_norm: 8.8180 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8125 loss: 1.8125 2022/07/29 15:39:08 - mmengine - INFO - Epoch(train) [119][2020/3757] lr: 2.6526e-03 eta: 1 day, 3:10:36 time: 0.4738 data_time: 0.0214 memory: 17006 grad_norm: 8.8344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4833 loss: 1.4833 2022/07/29 15:39:16 - mmengine - INFO - Epoch(train) [119][2040/3757] lr: 2.6526e-03 eta: 1 day, 3:10:15 time: 0.3987 data_time: 0.0171 memory: 17006 grad_norm: 9.1740 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7650 loss: 1.7650 2022/07/29 15:39:24 - mmengine - INFO - Epoch(train) [119][2060/3757] lr: 2.6526e-03 eta: 1 day, 3:09:56 time: 0.4022 data_time: 0.0209 memory: 17006 grad_norm: 9.4393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9415 loss: 1.9415 2022/07/29 15:39:33 - mmengine - INFO - Epoch(train) [119][2080/3757] lr: 2.6526e-03 eta: 1 day, 3:09:53 time: 0.4336 data_time: 0.0199 memory: 17006 grad_norm: 8.8044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6103 loss: 1.6103 2022/07/29 15:39:41 - mmengine - INFO - Epoch(train) [119][2100/3757] lr: 2.6526e-03 eta: 1 day, 3:09:34 time: 0.4017 data_time: 0.0188 memory: 17006 grad_norm: 8.7787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5653 loss: 1.5653 2022/07/29 15:39:50 - mmengine - INFO - Epoch(train) [119][2120/3757] lr: 2.6526e-03 eta: 1 day, 3:09:41 time: 0.4568 data_time: 0.0178 memory: 17006 grad_norm: 8.7132 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6303 loss: 1.6303 2022/07/29 15:39:58 - mmengine - INFO - Epoch(train) [119][2140/3757] lr: 2.6526e-03 eta: 1 day, 3:09:23 time: 0.4030 data_time: 0.0197 memory: 17006 grad_norm: 8.6084 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6055 loss: 1.6055 2022/07/29 15:40:08 - mmengine - INFO - Epoch(train) [119][2160/3757] lr: 2.6526e-03 eta: 1 day, 3:09:34 time: 0.4656 data_time: 0.0171 memory: 17006 grad_norm: 9.2237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6095 loss: 1.6095 2022/07/29 15:40:16 - mmengine - INFO - Epoch(train) [119][2180/3757] lr: 2.6526e-03 eta: 1 day, 3:09:18 time: 0.4072 data_time: 0.0174 memory: 17006 grad_norm: 8.5322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7981 loss: 1.7981 2022/07/29 15:40:24 - mmengine - INFO - Epoch(train) [119][2200/3757] lr: 2.6526e-03 eta: 1 day, 3:08:58 time: 0.3990 data_time: 0.0172 memory: 17006 grad_norm: 8.6783 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4885 loss: 1.4885 2022/07/29 15:40:32 - mmengine - INFO - Epoch(train) [119][2220/3757] lr: 2.6526e-03 eta: 1 day, 3:08:42 time: 0.4080 data_time: 0.0217 memory: 17006 grad_norm: 8.9857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9561 loss: 1.9561 2022/07/29 15:40:40 - mmengine - INFO - Epoch(train) [119][2240/3757] lr: 2.6526e-03 eta: 1 day, 3:08:29 time: 0.4134 data_time: 0.0180 memory: 17006 grad_norm: 8.9430 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6225 loss: 1.6225 2022/07/29 15:40:48 - mmengine - INFO - Epoch(train) [119][2260/3757] lr: 2.6526e-03 eta: 1 day, 3:08:12 time: 0.4069 data_time: 0.0206 memory: 17006 grad_norm: 8.6732 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7086 loss: 1.7086 2022/07/29 15:40:57 - mmengine - INFO - Epoch(train) [119][2280/3757] lr: 2.6526e-03 eta: 1 day, 3:08:03 time: 0.4221 data_time: 0.0173 memory: 17006 grad_norm: 8.7792 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4258 loss: 1.4258 2022/07/29 15:41:05 - mmengine - INFO - Epoch(train) [119][2300/3757] lr: 2.6526e-03 eta: 1 day, 3:07:44 time: 0.3999 data_time: 0.0193 memory: 17006 grad_norm: 8.7624 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7975 loss: 1.7975 2022/07/29 15:41:13 - mmengine - INFO - Epoch(train) [119][2320/3757] lr: 2.6526e-03 eta: 1 day, 3:07:29 time: 0.4101 data_time: 0.0183 memory: 17006 grad_norm: 9.0111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8479 loss: 1.8479 2022/07/29 15:41:21 - mmengine - INFO - Epoch(train) [119][2340/3757] lr: 2.6526e-03 eta: 1 day, 3:07:10 time: 0.4019 data_time: 0.0185 memory: 17006 grad_norm: 8.9934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5500 loss: 1.5500 2022/07/29 15:41:30 - mmengine - INFO - Epoch(train) [119][2360/3757] lr: 2.6526e-03 eta: 1 day, 3:07:19 time: 0.4593 data_time: 0.0202 memory: 17006 grad_norm: 8.7424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9451 loss: 1.9451 2022/07/29 15:41:39 - mmengine - INFO - Epoch(train) [119][2380/3757] lr: 2.6526e-03 eta: 1 day, 3:07:01 time: 0.4041 data_time: 0.0192 memory: 17006 grad_norm: 8.9169 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7792 loss: 1.7792 2022/07/29 15:41:47 - mmengine - INFO - Epoch(train) [119][2400/3757] lr: 2.6526e-03 eta: 1 day, 3:06:45 time: 0.4072 data_time: 0.0182 memory: 17006 grad_norm: 9.0933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0548 loss: 2.0548 2022/07/29 15:41:55 - mmengine - INFO - Epoch(train) [119][2420/3757] lr: 2.6526e-03 eta: 1 day, 3:06:26 time: 0.4007 data_time: 0.0192 memory: 17006 grad_norm: 8.8412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6454 loss: 1.6454 2022/07/29 15:42:04 - mmengine - INFO - Epoch(train) [119][2440/3757] lr: 2.6526e-03 eta: 1 day, 3:06:28 time: 0.4445 data_time: 0.0177 memory: 17006 grad_norm: 8.9273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6079 loss: 1.6079 2022/07/29 15:42:12 - mmengine - INFO - Epoch(train) [119][2460/3757] lr: 2.6526e-03 eta: 1 day, 3:06:10 time: 0.4046 data_time: 0.0209 memory: 17006 grad_norm: 9.0783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5259 loss: 1.5259 2022/07/29 15:42:20 - mmengine - INFO - Epoch(train) [119][2480/3757] lr: 2.6526e-03 eta: 1 day, 3:05:53 time: 0.4032 data_time: 0.0174 memory: 17006 grad_norm: 9.0171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5875 loss: 1.5875 2022/07/29 15:42:28 - mmengine - INFO - Epoch(train) [119][2500/3757] lr: 2.6526e-03 eta: 1 day, 3:05:36 time: 0.4050 data_time: 0.0228 memory: 17006 grad_norm: 8.8827 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3616 loss: 1.3616 2022/07/29 15:42:36 - mmengine - INFO - Epoch(train) [119][2520/3757] lr: 2.6526e-03 eta: 1 day, 3:05:16 time: 0.3986 data_time: 0.0176 memory: 17006 grad_norm: 9.2193 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7214 loss: 1.7214 2022/07/29 15:42:45 - mmengine - INFO - Epoch(train) [119][2540/3757] lr: 2.6526e-03 eta: 1 day, 3:05:10 time: 0.4281 data_time: 0.0194 memory: 17006 grad_norm: 9.0340 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6937 loss: 1.6937 2022/07/29 15:42:53 - mmengine - INFO - Epoch(train) [119][2560/3757] lr: 2.6526e-03 eta: 1 day, 3:04:54 time: 0.4084 data_time: 0.0194 memory: 17006 grad_norm: 9.0176 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6488 loss: 1.6488 2022/07/29 15:43:01 - mmengine - INFO - Epoch(train) [119][2580/3757] lr: 2.6526e-03 eta: 1 day, 3:04:51 time: 0.4331 data_time: 0.0181 memory: 17006 grad_norm: 9.1473 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9812 loss: 1.9812 2022/07/29 15:43:10 - mmengine - INFO - Epoch(train) [119][2600/3757] lr: 2.6526e-03 eta: 1 day, 3:04:44 time: 0.4278 data_time: 0.0181 memory: 17006 grad_norm: 8.6817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6674 loss: 1.6674 2022/07/29 15:43:18 - mmengine - INFO - Epoch(train) [119][2620/3757] lr: 2.6526e-03 eta: 1 day, 3:04:30 time: 0.4102 data_time: 0.0196 memory: 17006 grad_norm: 8.5108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6088 loss: 1.6088 2022/07/29 15:43:26 - mmengine - INFO - Epoch(train) [119][2640/3757] lr: 2.6526e-03 eta: 1 day, 3:04:11 time: 0.4008 data_time: 0.0196 memory: 17006 grad_norm: 8.9832 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7161 loss: 1.7161 2022/07/29 15:43:35 - mmengine - INFO - Epoch(train) [119][2660/3757] lr: 2.6526e-03 eta: 1 day, 3:04:00 time: 0.4183 data_time: 0.0325 memory: 17006 grad_norm: 8.7285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8591 loss: 1.8591 2022/07/29 15:43:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:43:43 - mmengine - INFO - Epoch(train) [119][2680/3757] lr: 2.6526e-03 eta: 1 day, 3:03:42 time: 0.4008 data_time: 0.0171 memory: 17006 grad_norm: 8.7023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5960 loss: 1.5960 2022/07/29 15:43:51 - mmengine - INFO - Epoch(train) [119][2700/3757] lr: 2.6526e-03 eta: 1 day, 3:03:29 time: 0.4133 data_time: 0.0217 memory: 17006 grad_norm: 9.0479 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7162 loss: 1.7162 2022/07/29 15:43:59 - mmengine - INFO - Epoch(train) [119][2720/3757] lr: 2.6526e-03 eta: 1 day, 3:03:13 time: 0.4073 data_time: 0.0182 memory: 17006 grad_norm: 9.1595 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7000 loss: 1.7000 2022/07/29 15:44:08 - mmengine - INFO - Epoch(train) [119][2740/3757] lr: 2.6526e-03 eta: 1 day, 3:03:09 time: 0.4321 data_time: 0.0267 memory: 17006 grad_norm: 9.0505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6677 loss: 1.6677 2022/07/29 15:44:16 - mmengine - INFO - Epoch(train) [119][2760/3757] lr: 2.6526e-03 eta: 1 day, 3:02:50 time: 0.3986 data_time: 0.0171 memory: 17006 grad_norm: 8.8610 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8170 loss: 1.8170 2022/07/29 15:44:24 - mmengine - INFO - Epoch(train) [119][2780/3757] lr: 2.6526e-03 eta: 1 day, 3:02:39 time: 0.4177 data_time: 0.0206 memory: 17006 grad_norm: 8.6285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8918 loss: 1.8918 2022/07/29 15:44:33 - mmengine - INFO - Epoch(train) [119][2800/3757] lr: 2.6526e-03 eta: 1 day, 3:02:25 time: 0.4109 data_time: 0.0194 memory: 17006 grad_norm: 9.1988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7888 loss: 1.7888 2022/07/29 15:44:41 - mmengine - INFO - Epoch(train) [119][2820/3757] lr: 2.6526e-03 eta: 1 day, 3:02:06 time: 0.3989 data_time: 0.0188 memory: 17006 grad_norm: 8.9887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4899 loss: 1.4899 2022/07/29 15:44:50 - mmengine - INFO - Epoch(train) [119][2840/3757] lr: 2.6526e-03 eta: 1 day, 3:02:26 time: 0.4887 data_time: 0.0218 memory: 17006 grad_norm: 8.7969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6337 loss: 1.6337 2022/07/29 15:44:58 - mmengine - INFO - Epoch(train) [119][2860/3757] lr: 2.6526e-03 eta: 1 day, 3:02:08 time: 0.4013 data_time: 0.0201 memory: 17006 grad_norm: 8.8485 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8969 loss: 1.8969 2022/07/29 15:45:06 - mmengine - INFO - Epoch(train) [119][2880/3757] lr: 2.6526e-03 eta: 1 day, 3:01:49 time: 0.3979 data_time: 0.0172 memory: 17006 grad_norm: 8.8222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6968 loss: 1.6968 2022/07/29 15:45:15 - mmengine - INFO - Epoch(train) [119][2900/3757] lr: 2.6526e-03 eta: 1 day, 3:01:45 time: 0.4334 data_time: 0.0219 memory: 17006 grad_norm: 9.1398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5902 loss: 1.5902 2022/07/29 15:45:23 - mmengine - INFO - Epoch(train) [119][2920/3757] lr: 2.6526e-03 eta: 1 day, 3:01:26 time: 0.3994 data_time: 0.0171 memory: 17006 grad_norm: 8.3588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6746 loss: 1.6746 2022/07/29 15:45:32 - mmengine - INFO - Epoch(train) [119][2940/3757] lr: 2.6526e-03 eta: 1 day, 3:01:28 time: 0.4477 data_time: 0.0223 memory: 17006 grad_norm: 8.6862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6004 loss: 1.6004 2022/07/29 15:45:40 - mmengine - INFO - Epoch(train) [119][2960/3757] lr: 2.6526e-03 eta: 1 day, 3:01:09 time: 0.3987 data_time: 0.0169 memory: 17006 grad_norm: 8.7521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4126 loss: 1.4126 2022/07/29 15:45:49 - mmengine - INFO - Epoch(train) [119][2980/3757] lr: 2.6526e-03 eta: 1 day, 3:01:02 time: 0.4255 data_time: 0.0230 memory: 17006 grad_norm: 9.0290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6599 loss: 1.6599 2022/07/29 15:45:57 - mmengine - INFO - Epoch(train) [119][3000/3757] lr: 2.6526e-03 eta: 1 day, 3:00:43 time: 0.3980 data_time: 0.0171 memory: 17006 grad_norm: 8.7691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7011 loss: 1.7011 2022/07/29 15:46:05 - mmengine - INFO - Epoch(train) [119][3020/3757] lr: 2.6526e-03 eta: 1 day, 3:00:26 time: 0.4036 data_time: 0.0223 memory: 17006 grad_norm: 8.9134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6160 loss: 1.6160 2022/07/29 15:46:14 - mmengine - INFO - Epoch(train) [119][3040/3757] lr: 2.6526e-03 eta: 1 day, 3:00:39 time: 0.4733 data_time: 0.0213 memory: 17006 grad_norm: 8.8258 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.5518 loss: 1.5518 2022/07/29 15:46:22 - mmengine - INFO - Epoch(train) [119][3060/3757] lr: 2.6526e-03 eta: 1 day, 3:00:21 time: 0.4006 data_time: 0.0194 memory: 17006 grad_norm: 8.8000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7677 loss: 1.7677 2022/07/29 15:46:31 - mmengine - INFO - Epoch(train) [119][3080/3757] lr: 2.6526e-03 eta: 1 day, 3:00:17 time: 0.4327 data_time: 0.0175 memory: 17006 grad_norm: 8.8946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5846 loss: 1.5846 2022/07/29 15:46:39 - mmengine - INFO - Epoch(train) [119][3100/3757] lr: 2.6526e-03 eta: 1 day, 3:00:00 time: 0.4043 data_time: 0.0213 memory: 17006 grad_norm: 8.8596 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7462 loss: 1.7462 2022/07/29 15:46:47 - mmengine - INFO - Epoch(train) [119][3120/3757] lr: 2.6526e-03 eta: 1 day, 2:59:48 time: 0.4147 data_time: 0.0180 memory: 17006 grad_norm: 8.8616 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7200 loss: 1.7200 2022/07/29 15:46:55 - mmengine - INFO - Epoch(train) [119][3140/3757] lr: 2.6526e-03 eta: 1 day, 2:59:31 time: 0.4027 data_time: 0.0212 memory: 17006 grad_norm: 8.8623 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3941 loss: 1.3941 2022/07/29 15:47:04 - mmengine - INFO - Epoch(train) [119][3160/3757] lr: 2.6526e-03 eta: 1 day, 2:59:18 time: 0.4128 data_time: 0.0191 memory: 17006 grad_norm: 9.3058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6923 loss: 1.6923 2022/07/29 15:47:12 - mmengine - INFO - Epoch(train) [119][3180/3757] lr: 2.6526e-03 eta: 1 day, 2:59:09 time: 0.4220 data_time: 0.0208 memory: 17006 grad_norm: 9.3528 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8728 loss: 1.8728 2022/07/29 15:47:20 - mmengine - INFO - Epoch(train) [119][3200/3757] lr: 2.6526e-03 eta: 1 day, 2:58:51 time: 0.4004 data_time: 0.0189 memory: 17006 grad_norm: 9.1519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5429 loss: 1.5429 2022/07/29 15:47:29 - mmengine - INFO - Epoch(train) [119][3220/3757] lr: 2.6526e-03 eta: 1 day, 2:58:45 time: 0.4287 data_time: 0.0211 memory: 17006 grad_norm: 9.2032 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5479 loss: 1.5479 2022/07/29 15:47:37 - mmengine - INFO - Epoch(train) [119][3240/3757] lr: 2.6526e-03 eta: 1 day, 2:58:27 time: 0.3990 data_time: 0.0181 memory: 17006 grad_norm: 9.0531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7666 loss: 1.7666 2022/07/29 15:47:45 - mmengine - INFO - Epoch(train) [119][3260/3757] lr: 2.6526e-03 eta: 1 day, 2:58:09 time: 0.4013 data_time: 0.0200 memory: 17006 grad_norm: 9.0963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4813 loss: 1.4813 2022/07/29 15:47:53 - mmengine - INFO - Epoch(train) [119][3280/3757] lr: 2.6526e-03 eta: 1 day, 2:57:59 time: 0.4195 data_time: 0.0183 memory: 17006 grad_norm: 8.7097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6616 loss: 1.6616 2022/07/29 15:48:01 - mmengine - INFO - Epoch(train) [119][3300/3757] lr: 2.6526e-03 eta: 1 day, 2:57:42 time: 0.4028 data_time: 0.0208 memory: 17006 grad_norm: 9.0710 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7774 loss: 1.7774 2022/07/29 15:48:10 - mmengine - INFO - Epoch(train) [119][3320/3757] lr: 2.6526e-03 eta: 1 day, 2:57:41 time: 0.4390 data_time: 0.0207 memory: 17006 grad_norm: 8.7011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/07/29 15:48:18 - mmengine - INFO - Epoch(train) [119][3340/3757] lr: 2.6526e-03 eta: 1 day, 2:57:23 time: 0.4012 data_time: 0.0205 memory: 17006 grad_norm: 8.8279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4081 loss: 1.4081 2022/07/29 15:48:26 - mmengine - INFO - Epoch(train) [119][3360/3757] lr: 2.6526e-03 eta: 1 day, 2:57:05 time: 0.3998 data_time: 0.0168 memory: 17006 grad_norm: 9.0051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6308 loss: 1.6308 2022/07/29 15:48:35 - mmengine - INFO - Epoch(train) [119][3380/3757] lr: 2.6526e-03 eta: 1 day, 2:56:57 time: 0.4227 data_time: 0.0213 memory: 17006 grad_norm: 9.0487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6354 loss: 1.6354 2022/07/29 15:48:43 - mmengine - INFO - Epoch(train) [119][3400/3757] lr: 2.6526e-03 eta: 1 day, 2:56:41 time: 0.4052 data_time: 0.0175 memory: 17006 grad_norm: 8.5859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8126 loss: 1.8126 2022/07/29 15:48:51 - mmengine - INFO - Epoch(train) [119][3420/3757] lr: 2.6526e-03 eta: 1 day, 2:56:33 time: 0.4241 data_time: 0.0229 memory: 17006 grad_norm: 9.0893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6506 loss: 1.6506 2022/07/29 15:48:59 - mmengine - INFO - Epoch(train) [119][3440/3757] lr: 2.6526e-03 eta: 1 day, 2:56:16 time: 0.4029 data_time: 0.0174 memory: 17006 grad_norm: 8.8905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5573 loss: 1.5573 2022/07/29 15:49:08 - mmengine - INFO - Epoch(train) [119][3460/3757] lr: 2.6526e-03 eta: 1 day, 2:56:21 time: 0.4527 data_time: 0.0209 memory: 17006 grad_norm: 8.6840 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8614 loss: 1.8614 2022/07/29 15:49:17 - mmengine - INFO - Epoch(train) [119][3480/3757] lr: 2.6526e-03 eta: 1 day, 2:56:03 time: 0.3996 data_time: 0.0178 memory: 17006 grad_norm: 9.2403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5232 loss: 1.5232 2022/07/29 15:49:25 - mmengine - INFO - Epoch(train) [119][3500/3757] lr: 2.6526e-03 eta: 1 day, 2:55:53 time: 0.4200 data_time: 0.0236 memory: 17006 grad_norm: 8.4605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3786 loss: 1.3786 2022/07/29 15:49:33 - mmengine - INFO - Epoch(train) [119][3520/3757] lr: 2.6526e-03 eta: 1 day, 2:55:40 time: 0.4111 data_time: 0.0198 memory: 17006 grad_norm: 8.9934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5834 loss: 1.5834 2022/07/29 15:49:42 - mmengine - INFO - Epoch(train) [119][3540/3757] lr: 2.6526e-03 eta: 1 day, 2:55:41 time: 0.4469 data_time: 0.0197 memory: 17006 grad_norm: 8.7880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5963 loss: 1.5963 2022/07/29 15:49:50 - mmengine - INFO - Epoch(train) [119][3560/3757] lr: 2.6526e-03 eta: 1 day, 2:55:29 time: 0.4133 data_time: 0.0200 memory: 17006 grad_norm: 8.8197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8623 loss: 1.8623 2022/07/29 15:49:59 - mmengine - INFO - Epoch(train) [119][3580/3757] lr: 2.6526e-03 eta: 1 day, 2:55:23 time: 0.4284 data_time: 0.0198 memory: 17006 grad_norm: 9.0343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8169 loss: 1.8169 2022/07/29 15:50:07 - mmengine - INFO - Epoch(train) [119][3600/3757] lr: 2.6526e-03 eta: 1 day, 2:55:09 time: 0.4100 data_time: 0.0178 memory: 17006 grad_norm: 9.1348 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7813 loss: 1.7813 2022/07/29 15:50:15 - mmengine - INFO - Epoch(train) [119][3620/3757] lr: 2.6526e-03 eta: 1 day, 2:54:56 time: 0.4096 data_time: 0.0219 memory: 17006 grad_norm: 8.7745 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8595 loss: 1.8595 2022/07/29 15:50:24 - mmengine - INFO - Epoch(train) [119][3640/3757] lr: 2.6526e-03 eta: 1 day, 2:54:46 time: 0.4198 data_time: 0.0181 memory: 17006 grad_norm: 8.7997 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6483 loss: 1.6483 2022/07/29 15:50:32 - mmengine - INFO - Epoch(train) [119][3660/3757] lr: 2.6526e-03 eta: 1 day, 2:54:31 time: 0.4075 data_time: 0.0212 memory: 17006 grad_norm: 8.7423 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5096 loss: 1.5096 2022/07/29 15:50:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:50:41 - mmengine - INFO - Epoch(train) [119][3680/3757] lr: 2.6526e-03 eta: 1 day, 2:54:40 time: 0.4647 data_time: 0.0185 memory: 17006 grad_norm: 8.8236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7308 loss: 1.7308 2022/07/29 15:50:50 - mmengine - INFO - Epoch(train) [119][3700/3757] lr: 2.6526e-03 eta: 1 day, 2:54:28 time: 0.4133 data_time: 0.0218 memory: 17006 grad_norm: 9.0955 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2642 loss: 1.2642 2022/07/29 15:50:58 - mmengine - INFO - Epoch(train) [119][3720/3757] lr: 2.6526e-03 eta: 1 day, 2:54:11 time: 0.4013 data_time: 0.0193 memory: 17006 grad_norm: 9.4144 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9363 loss: 1.9363 2022/07/29 15:51:06 - mmengine - INFO - Epoch(train) [119][3740/3757] lr: 2.6526e-03 eta: 1 day, 2:53:54 time: 0.4021 data_time: 0.0196 memory: 17006 grad_norm: 8.9244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7094 loss: 1.7094 2022/07/29 15:51:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:51:13 - mmengine - INFO - Epoch(train) [119][3757/3757] lr: 2.6526e-03 eta: 1 day, 2:53:54 time: 0.4355 data_time: 0.0177 memory: 17006 grad_norm: 9.1612 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.5015 loss: 1.5015 2022/07/29 15:51:13 - mmengine - INFO - Saving checkpoint at 119 epochs 2022/07/29 15:51:29 - mmengine - INFO - Epoch(train) [120][20/3757] lr: 2.5760e-03 eta: 1 day, 2:51:42 time: 0.4941 data_time: 0.0765 memory: 17006 grad_norm: 8.8665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4313 loss: 1.4313 2022/07/29 15:51:37 - mmengine - INFO - Epoch(train) [120][40/3757] lr: 2.5760e-03 eta: 1 day, 2:51:26 time: 0.4029 data_time: 0.0216 memory: 17006 grad_norm: 8.7266 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7303 loss: 1.7303 2022/07/29 15:51:45 - mmengine - INFO - Epoch(train) [120][60/3757] lr: 2.5760e-03 eta: 1 day, 2:51:08 time: 0.3993 data_time: 0.0170 memory: 17006 grad_norm: 9.0476 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4859 loss: 1.4859 2022/07/29 15:51:54 - mmengine - INFO - Epoch(train) [120][80/3757] lr: 2.5760e-03 eta: 1 day, 2:51:18 time: 0.4684 data_time: 0.0223 memory: 17006 grad_norm: 8.5581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7678 loss: 1.7678 2022/07/29 15:52:03 - mmengine - INFO - Epoch(train) [120][100/3757] lr: 2.5760e-03 eta: 1 day, 2:51:04 time: 0.4066 data_time: 0.0199 memory: 17006 grad_norm: 9.3400 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9270 loss: 1.9270 2022/07/29 15:52:12 - mmengine - INFO - Epoch(train) [120][120/3757] lr: 2.5760e-03 eta: 1 day, 2:51:10 time: 0.4585 data_time: 0.0223 memory: 17006 grad_norm: 8.9100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6870 loss: 1.6870 2022/07/29 15:52:20 - mmengine - INFO - Epoch(train) [120][140/3757] lr: 2.5760e-03 eta: 1 day, 2:50:53 time: 0.4003 data_time: 0.0179 memory: 17006 grad_norm: 9.1566 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6279 loss: 1.6279 2022/07/29 15:52:29 - mmengine - INFO - Epoch(train) [120][160/3757] lr: 2.5760e-03 eta: 1 day, 2:50:51 time: 0.4393 data_time: 0.0224 memory: 17006 grad_norm: 9.1119 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8993 loss: 1.8993 2022/07/29 15:52:37 - mmengine - INFO - Epoch(train) [120][180/3757] lr: 2.5760e-03 eta: 1 day, 2:50:35 time: 0.4015 data_time: 0.0179 memory: 17006 grad_norm: 8.7642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6128 loss: 1.6128 2022/07/29 15:52:45 - mmengine - INFO - Epoch(train) [120][200/3757] lr: 2.5760e-03 eta: 1 day, 2:50:19 time: 0.4031 data_time: 0.0200 memory: 17006 grad_norm: 8.5744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7500 loss: 1.7500 2022/07/29 15:52:54 - mmengine - INFO - Epoch(train) [120][220/3757] lr: 2.5760e-03 eta: 1 day, 2:50:17 time: 0.4398 data_time: 0.0198 memory: 17006 grad_norm: 8.8787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3683 loss: 1.3683 2022/07/29 15:53:02 - mmengine - INFO - Epoch(train) [120][240/3757] lr: 2.5760e-03 eta: 1 day, 2:50:02 time: 0.4035 data_time: 0.0206 memory: 17006 grad_norm: 9.0293 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7120 loss: 1.7120 2022/07/29 15:53:10 - mmengine - INFO - Epoch(train) [120][260/3757] lr: 2.5760e-03 eta: 1 day, 2:49:50 time: 0.4146 data_time: 0.0172 memory: 17006 grad_norm: 9.1680 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7494 loss: 1.7494 2022/07/29 15:53:18 - mmengine - INFO - Epoch(train) [120][280/3757] lr: 2.5760e-03 eta: 1 day, 2:49:34 time: 0.4036 data_time: 0.0215 memory: 17006 grad_norm: 8.4513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6580 loss: 1.6580 2022/07/29 15:53:26 - mmengine - INFO - Epoch(train) [120][300/3757] lr: 2.5760e-03 eta: 1 day, 2:49:17 time: 0.3990 data_time: 0.0170 memory: 17006 grad_norm: 9.3024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6824 loss: 1.6824 2022/07/29 15:53:35 - mmengine - INFO - Epoch(train) [120][320/3757] lr: 2.5760e-03 eta: 1 day, 2:49:17 time: 0.4429 data_time: 0.0199 memory: 17006 grad_norm: 8.6324 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5062 loss: 1.5062 2022/07/29 15:53:43 - mmengine - INFO - Epoch(train) [120][340/3757] lr: 2.5760e-03 eta: 1 day, 2:49:00 time: 0.4014 data_time: 0.0193 memory: 17006 grad_norm: 8.9575 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7302 loss: 1.7302 2022/07/29 15:53:52 - mmengine - INFO - Epoch(train) [120][360/3757] lr: 2.5760e-03 eta: 1 day, 2:48:53 time: 0.4251 data_time: 0.0223 memory: 17006 grad_norm: 8.5340 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4986 loss: 1.4986 2022/07/29 15:54:00 - mmengine - INFO - Epoch(train) [120][380/3757] lr: 2.5760e-03 eta: 1 day, 2:48:48 time: 0.4294 data_time: 0.0181 memory: 17006 grad_norm: 8.8004 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9196 loss: 1.9196 2022/07/29 15:54:09 - mmengine - INFO - Epoch(train) [120][400/3757] lr: 2.5760e-03 eta: 1 day, 2:48:42 time: 0.4282 data_time: 0.0231 memory: 17006 grad_norm: 8.8441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5574 loss: 1.5574 2022/07/29 15:54:17 - mmengine - INFO - Epoch(train) [120][420/3757] lr: 2.5760e-03 eta: 1 day, 2:48:25 time: 0.4003 data_time: 0.0172 memory: 17006 grad_norm: 8.6404 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5024 loss: 1.5024 2022/07/29 15:54:25 - mmengine - INFO - Epoch(train) [120][440/3757] lr: 2.5760e-03 eta: 1 day, 2:48:09 time: 0.4023 data_time: 0.0198 memory: 17006 grad_norm: 8.8722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7221 loss: 1.7221 2022/07/29 15:54:33 - mmengine - INFO - Epoch(train) [120][460/3757] lr: 2.5760e-03 eta: 1 day, 2:47:57 time: 0.4144 data_time: 0.0195 memory: 17006 grad_norm: 8.7242 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6892 loss: 1.6892 2022/07/29 15:54:41 - mmengine - INFO - Epoch(train) [120][480/3757] lr: 2.5760e-03 eta: 1 day, 2:47:43 time: 0.4066 data_time: 0.0211 memory: 17006 grad_norm: 9.2519 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8486 loss: 1.8486 2022/07/29 15:54:49 - mmengine - INFO - Epoch(train) [120][500/3757] lr: 2.5760e-03 eta: 1 day, 2:47:31 time: 0.4116 data_time: 0.0183 memory: 17006 grad_norm: 9.0900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7910 loss: 1.7910 2022/07/29 15:54:58 - mmengine - INFO - Epoch(train) [120][520/3757] lr: 2.5760e-03 eta: 1 day, 2:47:15 time: 0.4030 data_time: 0.0208 memory: 17006 grad_norm: 9.0061 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6574 loss: 1.6574 2022/07/29 15:55:06 - mmengine - INFO - Epoch(train) [120][540/3757] lr: 2.5760e-03 eta: 1 day, 2:47:12 time: 0.4361 data_time: 0.0173 memory: 17006 grad_norm: 9.3042 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5728 loss: 1.5728 2022/07/29 15:55:15 - mmengine - INFO - Epoch(train) [120][560/3757] lr: 2.5760e-03 eta: 1 day, 2:47:06 time: 0.4295 data_time: 0.0223 memory: 17006 grad_norm: 9.2126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4975 loss: 1.4975 2022/07/29 15:55:23 - mmengine - INFO - Epoch(train) [120][580/3757] lr: 2.5760e-03 eta: 1 day, 2:46:51 time: 0.4025 data_time: 0.0178 memory: 17006 grad_norm: 8.6062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4730 loss: 1.4730 2022/07/29 15:55:32 - mmengine - INFO - Epoch(train) [120][600/3757] lr: 2.5760e-03 eta: 1 day, 2:46:55 time: 0.4561 data_time: 0.0216 memory: 17006 grad_norm: 8.7938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6730 loss: 1.6730 2022/07/29 15:55:40 - mmengine - INFO - Epoch(train) [120][620/3757] lr: 2.5760e-03 eta: 1 day, 2:46:39 time: 0.4013 data_time: 0.0182 memory: 17006 grad_norm: 9.1325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3411 loss: 1.3411 2022/07/29 15:55:49 - mmengine - INFO - Epoch(train) [120][640/3757] lr: 2.5760e-03 eta: 1 day, 2:46:28 time: 0.4153 data_time: 0.0221 memory: 17006 grad_norm: 8.9786 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7190 loss: 1.7190 2022/07/29 15:55:57 - mmengine - INFO - Epoch(train) [120][660/3757] lr: 2.5760e-03 eta: 1 day, 2:46:12 time: 0.4018 data_time: 0.0169 memory: 17006 grad_norm: 9.0287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8033 loss: 1.8033 2022/07/29 15:56:05 - mmengine - INFO - Epoch(train) [120][680/3757] lr: 2.5760e-03 eta: 1 day, 2:46:03 time: 0.4196 data_time: 0.0205 memory: 17006 grad_norm: 9.0715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7914 loss: 1.7914 2022/07/29 15:56:13 - mmengine - INFO - Epoch(train) [120][700/3757] lr: 2.5760e-03 eta: 1 day, 2:45:52 time: 0.4163 data_time: 0.0197 memory: 17006 grad_norm: 8.8975 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8708 loss: 1.8708 2022/07/29 15:56:22 - mmengine - INFO - Epoch(train) [120][720/3757] lr: 2.5760e-03 eta: 1 day, 2:45:51 time: 0.4413 data_time: 0.0195 memory: 17006 grad_norm: 9.1683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5289 loss: 1.5289 2022/07/29 15:56:30 - mmengine - INFO - Epoch(train) [120][740/3757] lr: 2.5760e-03 eta: 1 day, 2:45:38 time: 0.4078 data_time: 0.0189 memory: 17006 grad_norm: 9.2564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6972 loss: 1.6972 2022/07/29 15:56:39 - mmengine - INFO - Epoch(train) [120][760/3757] lr: 2.5760e-03 eta: 1 day, 2:45:38 time: 0.4451 data_time: 0.0221 memory: 17006 grad_norm: 9.1096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4272 loss: 1.4272 2022/07/29 15:56:47 - mmengine - INFO - Epoch(train) [120][780/3757] lr: 2.5760e-03 eta: 1 day, 2:45:21 time: 0.3994 data_time: 0.0167 memory: 17006 grad_norm: 8.8957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6995 loss: 1.6995 2022/07/29 15:56:56 - mmengine - INFO - Epoch(train) [120][800/3757] lr: 2.5760e-03 eta: 1 day, 2:45:10 time: 0.4138 data_time: 0.0218 memory: 17006 grad_norm: 8.9532 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5023 loss: 1.5023 2022/07/29 15:57:04 - mmengine - INFO - Epoch(train) [120][820/3757] lr: 2.5760e-03 eta: 1 day, 2:44:57 time: 0.4100 data_time: 0.0180 memory: 17006 grad_norm: 9.0165 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7646 loss: 1.7646 2022/07/29 15:57:12 - mmengine - INFO - Epoch(train) [120][840/3757] lr: 2.5760e-03 eta: 1 day, 2:44:44 time: 0.4097 data_time: 0.0219 memory: 17006 grad_norm: 8.5549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5018 loss: 1.5018 2022/07/29 15:57:20 - mmengine - INFO - Epoch(train) [120][860/3757] lr: 2.5760e-03 eta: 1 day, 2:44:28 time: 0.4021 data_time: 0.0179 memory: 17006 grad_norm: 9.1530 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6157 loss: 1.6157 2022/07/29 15:57:29 - mmengine - INFO - Epoch(train) [120][880/3757] lr: 2.5760e-03 eta: 1 day, 2:44:22 time: 0.4292 data_time: 0.0235 memory: 17006 grad_norm: 8.9610 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7480 loss: 1.7480 2022/07/29 15:57:37 - mmengine - INFO - Epoch(train) [120][900/3757] lr: 2.5760e-03 eta: 1 day, 2:44:06 time: 0.4006 data_time: 0.0181 memory: 17006 grad_norm: 8.5321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3545 loss: 1.3545 2022/07/29 15:57:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 15:57:45 - mmengine - INFO - Epoch(train) [120][920/3757] lr: 2.5760e-03 eta: 1 day, 2:43:53 time: 0.4078 data_time: 0.0201 memory: 17006 grad_norm: 8.9349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3019 loss: 1.3019 2022/07/29 15:57:54 - mmengine - INFO - Epoch(train) [120][940/3757] lr: 2.5760e-03 eta: 1 day, 2:43:51 time: 0.4408 data_time: 0.0198 memory: 17006 grad_norm: 9.2653 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7838 loss: 1.7838 2022/07/29 15:58:02 - mmengine - INFO - Epoch(train) [120][960/3757] lr: 2.5760e-03 eta: 1 day, 2:43:36 time: 0.4027 data_time: 0.0208 memory: 17006 grad_norm: 8.9359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6836 loss: 1.6836 2022/07/29 15:58:11 - mmengine - INFO - Epoch(train) [120][980/3757] lr: 2.5760e-03 eta: 1 day, 2:43:32 time: 0.4347 data_time: 0.0199 memory: 17006 grad_norm: 8.8222 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4045 loss: 1.4045 2022/07/29 15:58:19 - mmengine - INFO - Epoch(train) [120][1000/3757] lr: 2.5760e-03 eta: 1 day, 2:43:16 time: 0.4019 data_time: 0.0203 memory: 17006 grad_norm: 8.7660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8758 loss: 1.8758 2022/07/29 15:58:27 - mmengine - INFO - Epoch(train) [120][1020/3757] lr: 2.5760e-03 eta: 1 day, 2:43:00 time: 0.4002 data_time: 0.0169 memory: 17006 grad_norm: 9.0077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4568 loss: 1.4568 2022/07/29 15:58:36 - mmengine - INFO - Epoch(train) [120][1040/3757] lr: 2.5760e-03 eta: 1 day, 2:43:13 time: 0.4791 data_time: 0.0219 memory: 17006 grad_norm: 8.7605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7176 loss: 1.7176 2022/07/29 15:58:44 - mmengine - INFO - Epoch(train) [120][1060/3757] lr: 2.5760e-03 eta: 1 day, 2:42:57 time: 0.4008 data_time: 0.0171 memory: 17006 grad_norm: 8.7111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3101 loss: 1.3101 2022/07/29 15:58:53 - mmengine - INFO - Epoch(train) [120][1080/3757] lr: 2.5760e-03 eta: 1 day, 2:43:01 time: 0.4547 data_time: 0.0198 memory: 17006 grad_norm: 8.4728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7035 loss: 1.7035 2022/07/29 15:59:01 - mmengine - INFO - Epoch(train) [120][1100/3757] lr: 2.5760e-03 eta: 1 day, 2:42:45 time: 0.4015 data_time: 0.0196 memory: 17006 grad_norm: 9.0682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6245 loss: 1.6245 2022/07/29 15:59:10 - mmengine - INFO - Epoch(train) [120][1120/3757] lr: 2.5760e-03 eta: 1 day, 2:42:41 time: 0.4332 data_time: 0.0235 memory: 17006 grad_norm: 9.3277 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5504 loss: 1.5504 2022/07/29 15:59:18 - mmengine - INFO - Epoch(train) [120][1140/3757] lr: 2.5760e-03 eta: 1 day, 2:42:25 time: 0.4014 data_time: 0.0190 memory: 17006 grad_norm: 8.8897 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5593 loss: 1.5593 2022/07/29 15:59:26 - mmengine - INFO - Epoch(train) [120][1160/3757] lr: 2.5760e-03 eta: 1 day, 2:42:09 time: 0.4017 data_time: 0.0197 memory: 17006 grad_norm: 8.9142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7099 loss: 1.7099 2022/07/29 15:59:35 - mmengine - INFO - Epoch(train) [120][1180/3757] lr: 2.5760e-03 eta: 1 day, 2:42:00 time: 0.4207 data_time: 0.0190 memory: 17006 grad_norm: 9.1950 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8461 loss: 1.8461 2022/07/29 15:59:43 - mmengine - INFO - Epoch(train) [120][1200/3757] lr: 2.5760e-03 eta: 1 day, 2:41:45 time: 0.4019 data_time: 0.0205 memory: 17006 grad_norm: 8.8878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5786 loss: 1.5786 2022/07/29 15:59:52 - mmengine - INFO - Epoch(train) [120][1220/3757] lr: 2.5760e-03 eta: 1 day, 2:41:46 time: 0.4482 data_time: 0.0213 memory: 17006 grad_norm: 8.6529 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7429 loss: 1.7429 2022/07/29 16:00:00 - mmengine - INFO - Epoch(train) [120][1240/3757] lr: 2.5760e-03 eta: 1 day, 2:41:31 time: 0.4044 data_time: 0.0212 memory: 17006 grad_norm: 8.8151 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5656 loss: 1.5656 2022/07/29 16:00:08 - mmengine - INFO - Epoch(train) [120][1260/3757] lr: 2.5760e-03 eta: 1 day, 2:41:15 time: 0.4015 data_time: 0.0193 memory: 17006 grad_norm: 8.8199 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6407 loss: 1.6407 2022/07/29 16:00:17 - mmengine - INFO - Epoch(train) [120][1280/3757] lr: 2.5760e-03 eta: 1 day, 2:41:14 time: 0.4408 data_time: 0.0217 memory: 17006 grad_norm: 9.2872 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5058 loss: 1.5058 2022/07/29 16:00:25 - mmengine - INFO - Epoch(train) [120][1300/3757] lr: 2.5760e-03 eta: 1 day, 2:40:58 time: 0.4008 data_time: 0.0187 memory: 17006 grad_norm: 9.2325 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5939 loss: 1.5939 2022/07/29 16:00:33 - mmengine - INFO - Epoch(train) [120][1320/3757] lr: 2.5760e-03 eta: 1 day, 2:40:51 time: 0.4266 data_time: 0.0220 memory: 17006 grad_norm: 9.2290 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0376 loss: 2.0376 2022/07/29 16:00:41 - mmengine - INFO - Epoch(train) [120][1340/3757] lr: 2.5760e-03 eta: 1 day, 2:40:35 time: 0.3992 data_time: 0.0178 memory: 17006 grad_norm: 9.0826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4506 loss: 1.4506 2022/07/29 16:00:50 - mmengine - INFO - Epoch(train) [120][1360/3757] lr: 2.5760e-03 eta: 1 day, 2:40:35 time: 0.4450 data_time: 0.0201 memory: 17006 grad_norm: 8.8730 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8476 loss: 1.8476 2022/07/29 16:00:58 - mmengine - INFO - Epoch(train) [120][1380/3757] lr: 2.5760e-03 eta: 1 day, 2:40:19 time: 0.4002 data_time: 0.0180 memory: 17006 grad_norm: 9.0291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6281 loss: 1.6281 2022/07/29 16:01:06 - mmengine - INFO - Epoch(train) [120][1400/3757] lr: 2.5760e-03 eta: 1 day, 2:40:04 time: 0.4026 data_time: 0.0200 memory: 17006 grad_norm: 8.7752 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6467 loss: 1.6467 2022/07/29 16:01:15 - mmengine - INFO - Epoch(train) [120][1420/3757] lr: 2.5760e-03 eta: 1 day, 2:40:00 time: 0.4350 data_time: 0.0205 memory: 17006 grad_norm: 8.5590 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6395 loss: 1.6395 2022/07/29 16:01:23 - mmengine - INFO - Epoch(train) [120][1440/3757] lr: 2.5760e-03 eta: 1 day, 2:39:45 time: 0.4041 data_time: 0.0207 memory: 17006 grad_norm: 8.6591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7714 loss: 1.7714 2022/07/29 16:01:32 - mmengine - INFO - Epoch(train) [120][1460/3757] lr: 2.5760e-03 eta: 1 day, 2:39:41 time: 0.4331 data_time: 0.0190 memory: 17006 grad_norm: 9.1683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6180 loss: 1.6180 2022/07/29 16:01:40 - mmengine - INFO - Epoch(train) [120][1480/3757] lr: 2.5760e-03 eta: 1 day, 2:39:33 time: 0.4213 data_time: 0.0214 memory: 17006 grad_norm: 9.3055 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7936 loss: 1.7936 2022/07/29 16:01:48 - mmengine - INFO - Epoch(train) [120][1500/3757] lr: 2.5760e-03 eta: 1 day, 2:39:17 time: 0.4008 data_time: 0.0166 memory: 17006 grad_norm: 9.2248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7613 loss: 1.7613 2022/07/29 16:01:56 - mmengine - INFO - Epoch(train) [120][1520/3757] lr: 2.5760e-03 eta: 1 day, 2:39:02 time: 0.4031 data_time: 0.0217 memory: 17006 grad_norm: 8.9928 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9075 loss: 1.9075 2022/07/29 16:02:05 - mmengine - INFO - Epoch(train) [120][1540/3757] lr: 2.5760e-03 eta: 1 day, 2:38:54 time: 0.4219 data_time: 0.0180 memory: 17006 grad_norm: 9.1191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6979 loss: 1.6979 2022/07/29 16:02:13 - mmengine - INFO - Epoch(train) [120][1560/3757] lr: 2.5760e-03 eta: 1 day, 2:38:40 time: 0.4063 data_time: 0.0213 memory: 17006 grad_norm: 9.0925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7015 loss: 1.7015 2022/07/29 16:02:22 - mmengine - INFO - Epoch(train) [120][1580/3757] lr: 2.5760e-03 eta: 1 day, 2:38:32 time: 0.4243 data_time: 0.0180 memory: 17006 grad_norm: 9.2568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7158 loss: 1.7158 2022/07/29 16:02:30 - mmengine - INFO - Epoch(train) [120][1600/3757] lr: 2.5760e-03 eta: 1 day, 2:38:20 time: 0.4115 data_time: 0.0222 memory: 17006 grad_norm: 9.0382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7164 loss: 1.7164 2022/07/29 16:02:38 - mmengine - INFO - Epoch(train) [120][1620/3757] lr: 2.5760e-03 eta: 1 day, 2:38:05 time: 0.4015 data_time: 0.0181 memory: 17006 grad_norm: 9.0346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7207 loss: 1.7207 2022/07/29 16:02:46 - mmengine - INFO - Epoch(train) [120][1640/3757] lr: 2.5760e-03 eta: 1 day, 2:37:53 time: 0.4114 data_time: 0.0215 memory: 17006 grad_norm: 8.8172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2042 loss: 1.2042 2022/07/29 16:02:55 - mmengine - INFO - Epoch(train) [120][1660/3757] lr: 2.5760e-03 eta: 1 day, 2:37:44 time: 0.4203 data_time: 0.0194 memory: 17006 grad_norm: 9.3210 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4407 loss: 1.4407 2022/07/29 16:03:03 - mmengine - INFO - Epoch(train) [120][1680/3757] lr: 2.5760e-03 eta: 1 day, 2:37:31 time: 0.4063 data_time: 0.0218 memory: 17006 grad_norm: 9.1697 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7361 loss: 1.7361 2022/07/29 16:03:11 - mmengine - INFO - Epoch(train) [120][1700/3757] lr: 2.5760e-03 eta: 1 day, 2:37:27 time: 0.4361 data_time: 0.0244 memory: 17006 grad_norm: 8.9864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3834 loss: 1.3834 2022/07/29 16:03:20 - mmengine - INFO - Epoch(train) [120][1720/3757] lr: 2.5760e-03 eta: 1 day, 2:37:13 time: 0.4048 data_time: 0.0211 memory: 17006 grad_norm: 8.9852 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6840 loss: 1.6840 2022/07/29 16:03:28 - mmengine - INFO - Epoch(train) [120][1740/3757] lr: 2.5760e-03 eta: 1 day, 2:36:58 time: 0.4021 data_time: 0.0172 memory: 17006 grad_norm: 8.9131 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5090 loss: 1.5090 2022/07/29 16:03:36 - mmengine - INFO - Epoch(train) [120][1760/3757] lr: 2.5760e-03 eta: 1 day, 2:36:52 time: 0.4282 data_time: 0.0229 memory: 17006 grad_norm: 9.0555 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7279 loss: 1.7279 2022/07/29 16:03:44 - mmengine - INFO - Epoch(train) [120][1780/3757] lr: 2.5760e-03 eta: 1 day, 2:36:39 time: 0.4082 data_time: 0.0188 memory: 17006 grad_norm: 8.7988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6157 loss: 1.6157 2022/07/29 16:03:53 - mmengine - INFO - Epoch(train) [120][1800/3757] lr: 2.5760e-03 eta: 1 day, 2:36:30 time: 0.4209 data_time: 0.0229 memory: 17006 grad_norm: 8.9408 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2183 loss: 1.2183 2022/07/29 16:04:02 - mmengine - INFO - Epoch(train) [120][1820/3757] lr: 2.5760e-03 eta: 1 day, 2:36:30 time: 0.4456 data_time: 0.0177 memory: 17006 grad_norm: 9.4772 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6564 loss: 1.6564 2022/07/29 16:04:10 - mmengine - INFO - Epoch(train) [120][1840/3757] lr: 2.5760e-03 eta: 1 day, 2:36:22 time: 0.4216 data_time: 0.0223 memory: 17006 grad_norm: 9.3516 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/07/29 16:04:18 - mmengine - INFO - Epoch(train) [120][1860/3757] lr: 2.5760e-03 eta: 1 day, 2:36:07 time: 0.4012 data_time: 0.0183 memory: 17006 grad_norm: 8.8283 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6830 loss: 1.6830 2022/07/29 16:04:26 - mmengine - INFO - Epoch(train) [120][1880/3757] lr: 2.5760e-03 eta: 1 day, 2:35:52 time: 0.4019 data_time: 0.0200 memory: 17006 grad_norm: 8.9100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6776 loss: 1.6776 2022/07/29 16:04:35 - mmengine - INFO - Epoch(train) [120][1900/3757] lr: 2.5760e-03 eta: 1 day, 2:35:51 time: 0.4428 data_time: 0.0205 memory: 17006 grad_norm: 8.8586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6744 loss: 1.6744 2022/07/29 16:04:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:04:43 - mmengine - INFO - Epoch(train) [120][1920/3757] lr: 2.5760e-03 eta: 1 day, 2:35:37 time: 0.4060 data_time: 0.0233 memory: 17006 grad_norm: 8.9451 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4522 loss: 1.4522 2022/07/29 16:04:52 - mmengine - INFO - Epoch(train) [120][1940/3757] lr: 2.5760e-03 eta: 1 day, 2:35:27 time: 0.4187 data_time: 0.0192 memory: 17006 grad_norm: 8.9271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7874 loss: 1.7874 2022/07/29 16:05:00 - mmengine - INFO - Epoch(train) [120][1960/3757] lr: 2.5760e-03 eta: 1 day, 2:35:16 time: 0.4129 data_time: 0.0208 memory: 17006 grad_norm: 9.2397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8764 loss: 1.8764 2022/07/29 16:05:08 - mmengine - INFO - Epoch(train) [120][1980/3757] lr: 2.5760e-03 eta: 1 day, 2:35:01 time: 0.4004 data_time: 0.0174 memory: 17006 grad_norm: 8.6786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5719 loss: 1.5719 2022/07/29 16:05:17 - mmengine - INFO - Epoch(train) [120][2000/3757] lr: 2.5760e-03 eta: 1 day, 2:34:58 time: 0.4378 data_time: 0.0225 memory: 17006 grad_norm: 8.8863 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5717 loss: 1.5717 2022/07/29 16:05:25 - mmengine - INFO - Epoch(train) [120][2020/3757] lr: 2.5760e-03 eta: 1 day, 2:34:42 time: 0.4008 data_time: 0.0178 memory: 17006 grad_norm: 8.9640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7998 loss: 1.7998 2022/07/29 16:05:33 - mmengine - INFO - Epoch(train) [120][2040/3757] lr: 2.5760e-03 eta: 1 day, 2:34:33 time: 0.4176 data_time: 0.0265 memory: 17006 grad_norm: 8.9965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6995 loss: 1.6995 2022/07/29 16:05:41 - mmengine - INFO - Epoch(train) [120][2060/3757] lr: 2.5760e-03 eta: 1 day, 2:34:18 time: 0.4024 data_time: 0.0172 memory: 17006 grad_norm: 8.9451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4687 loss: 1.4687 2022/07/29 16:05:50 - mmengine - INFO - Epoch(train) [120][2080/3757] lr: 2.5760e-03 eta: 1 day, 2:34:16 time: 0.4392 data_time: 0.0233 memory: 17006 grad_norm: 8.5704 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6668 loss: 1.6668 2022/07/29 16:05:58 - mmengine - INFO - Epoch(train) [120][2100/3757] lr: 2.5760e-03 eta: 1 day, 2:34:00 time: 0.4009 data_time: 0.0178 memory: 17006 grad_norm: 9.2994 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6430 loss: 1.6430 2022/07/29 16:06:07 - mmengine - INFO - Epoch(train) [120][2120/3757] lr: 2.5760e-03 eta: 1 day, 2:33:56 time: 0.4336 data_time: 0.0208 memory: 17006 grad_norm: 9.1767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7508 loss: 1.7508 2022/07/29 16:06:15 - mmengine - INFO - Epoch(train) [120][2140/3757] lr: 2.5760e-03 eta: 1 day, 2:33:46 time: 0.4160 data_time: 0.0188 memory: 17006 grad_norm: 9.1522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5999 loss: 1.5999 2022/07/29 16:06:23 - mmengine - INFO - Epoch(train) [120][2160/3757] lr: 2.5760e-03 eta: 1 day, 2:33:33 time: 0.4090 data_time: 0.0207 memory: 17006 grad_norm: 8.9362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7743 loss: 1.7743 2022/07/29 16:06:33 - mmengine - INFO - Epoch(train) [120][2180/3757] lr: 2.5760e-03 eta: 1 day, 2:33:43 time: 0.4745 data_time: 0.0188 memory: 17006 grad_norm: 9.2702 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9928 loss: 1.9928 2022/07/29 16:06:41 - mmengine - INFO - Epoch(train) [120][2200/3757] lr: 2.5760e-03 eta: 1 day, 2:33:29 time: 0.4041 data_time: 0.0203 memory: 17006 grad_norm: 8.8250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4858 loss: 1.4858 2022/07/29 16:06:50 - mmengine - INFO - Epoch(train) [120][2220/3757] lr: 2.5760e-03 eta: 1 day, 2:33:36 time: 0.4688 data_time: 0.0212 memory: 17006 grad_norm: 8.9762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6335 loss: 1.6335 2022/07/29 16:06:58 - mmengine - INFO - Epoch(train) [120][2240/3757] lr: 2.5760e-03 eta: 1 day, 2:33:22 time: 0.4035 data_time: 0.0210 memory: 17006 grad_norm: 8.9891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6173 loss: 1.6173 2022/07/29 16:07:07 - mmengine - INFO - Epoch(train) [120][2260/3757] lr: 2.5760e-03 eta: 1 day, 2:33:07 time: 0.4014 data_time: 0.0182 memory: 17006 grad_norm: 8.4045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3688 loss: 1.3688 2022/07/29 16:07:15 - mmengine - INFO - Epoch(train) [120][2280/3757] lr: 2.5760e-03 eta: 1 day, 2:33:03 time: 0.4360 data_time: 0.0233 memory: 17006 grad_norm: 9.1735 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5644 loss: 1.5644 2022/07/29 16:07:23 - mmengine - INFO - Epoch(train) [120][2300/3757] lr: 2.5760e-03 eta: 1 day, 2:32:48 time: 0.4006 data_time: 0.0180 memory: 17006 grad_norm: 8.8146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6228 loss: 1.6228 2022/07/29 16:07:33 - mmengine - INFO - Epoch(train) [120][2320/3757] lr: 2.5760e-03 eta: 1 day, 2:32:53 time: 0.4610 data_time: 0.0199 memory: 17006 grad_norm: 8.8474 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7877 loss: 1.7877 2022/07/29 16:07:41 - mmengine - INFO - Epoch(train) [120][2340/3757] lr: 2.5760e-03 eta: 1 day, 2:32:39 time: 0.4038 data_time: 0.0174 memory: 17006 grad_norm: 9.1300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7454 loss: 1.7454 2022/07/29 16:07:49 - mmengine - INFO - Epoch(train) [120][2360/3757] lr: 2.5760e-03 eta: 1 day, 2:32:27 time: 0.4118 data_time: 0.0218 memory: 17006 grad_norm: 9.2841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1850 loss: 2.1850 2022/07/29 16:07:58 - mmengine - INFO - Epoch(train) [120][2380/3757] lr: 2.5760e-03 eta: 1 day, 2:32:31 time: 0.4574 data_time: 0.0197 memory: 17006 grad_norm: 9.3470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2011 loss: 2.2011 2022/07/29 16:08:06 - mmengine - INFO - Epoch(train) [120][2400/3757] lr: 2.5760e-03 eta: 1 day, 2:32:16 time: 0.4022 data_time: 0.0198 memory: 17006 grad_norm: 8.7873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/07/29 16:08:15 - mmengine - INFO - Epoch(train) [120][2420/3757] lr: 2.5760e-03 eta: 1 day, 2:32:08 time: 0.4233 data_time: 0.0187 memory: 17006 grad_norm: 8.8194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5958 loss: 1.5958 2022/07/29 16:08:23 - mmengine - INFO - Epoch(train) [120][2440/3757] lr: 2.5760e-03 eta: 1 day, 2:31:55 time: 0.4072 data_time: 0.0209 memory: 17006 grad_norm: 8.9416 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7282 loss: 1.7282 2022/07/29 16:08:32 - mmengine - INFO - Epoch(train) [120][2460/3757] lr: 2.5760e-03 eta: 1 day, 2:32:00 time: 0.4632 data_time: 0.0194 memory: 17006 grad_norm: 9.1617 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4226 loss: 1.4226 2022/07/29 16:08:40 - mmengine - INFO - Epoch(train) [120][2480/3757] lr: 2.5760e-03 eta: 1 day, 2:31:46 time: 0.4040 data_time: 0.0196 memory: 17006 grad_norm: 8.9777 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8056 loss: 1.8056 2022/07/29 16:08:48 - mmengine - INFO - Epoch(train) [120][2500/3757] lr: 2.5760e-03 eta: 1 day, 2:31:31 time: 0.4005 data_time: 0.0179 memory: 17006 grad_norm: 8.9577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6712 loss: 1.6712 2022/07/29 16:08:58 - mmengine - INFO - Epoch(train) [120][2520/3757] lr: 2.5760e-03 eta: 1 day, 2:31:43 time: 0.4819 data_time: 0.0223 memory: 17006 grad_norm: 8.9360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2517 loss: 1.2517 2022/07/29 16:09:06 - mmengine - INFO - Epoch(train) [120][2540/3757] lr: 2.5760e-03 eta: 1 day, 2:31:29 time: 0.4043 data_time: 0.0189 memory: 17006 grad_norm: 8.9572 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7027 loss: 1.7027 2022/07/29 16:09:14 - mmengine - INFO - Epoch(train) [120][2560/3757] lr: 2.5760e-03 eta: 1 day, 2:31:19 time: 0.4184 data_time: 0.0222 memory: 17006 grad_norm: 8.9524 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6386 loss: 1.6386 2022/07/29 16:09:23 - mmengine - INFO - Epoch(train) [120][2580/3757] lr: 2.5760e-03 eta: 1 day, 2:31:09 time: 0.4173 data_time: 0.0189 memory: 17006 grad_norm: 9.0715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4652 loss: 1.4652 2022/07/29 16:09:31 - mmengine - INFO - Epoch(train) [120][2600/3757] lr: 2.5760e-03 eta: 1 day, 2:31:00 time: 0.4180 data_time: 0.0215 memory: 17006 grad_norm: 9.0823 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5948 loss: 1.5948 2022/07/29 16:09:39 - mmengine - INFO - Epoch(train) [120][2620/3757] lr: 2.5760e-03 eta: 1 day, 2:30:45 time: 0.4004 data_time: 0.0174 memory: 17006 grad_norm: 8.8424 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3861 loss: 1.3861 2022/07/29 16:09:47 - mmengine - INFO - Epoch(train) [120][2640/3757] lr: 2.5760e-03 eta: 1 day, 2:30:30 time: 0.4034 data_time: 0.0201 memory: 17006 grad_norm: 9.1806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5718 loss: 1.5718 2022/07/29 16:09:56 - mmengine - INFO - Epoch(train) [120][2660/3757] lr: 2.5760e-03 eta: 1 day, 2:30:29 time: 0.4445 data_time: 0.0192 memory: 17006 grad_norm: 8.8619 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1965 loss: 2.1965 2022/07/29 16:10:04 - mmengine - INFO - Epoch(train) [120][2680/3757] lr: 2.5760e-03 eta: 1 day, 2:30:16 time: 0.4056 data_time: 0.0227 memory: 17006 grad_norm: 9.2936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9119 loss: 1.9119 2022/07/29 16:10:13 - mmengine - INFO - Epoch(train) [120][2700/3757] lr: 2.5760e-03 eta: 1 day, 2:30:15 time: 0.4442 data_time: 0.0194 memory: 17006 grad_norm: 9.2413 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4863 loss: 1.4863 2022/07/29 16:10:21 - mmengine - INFO - Epoch(train) [120][2720/3757] lr: 2.5760e-03 eta: 1 day, 2:30:04 time: 0.4121 data_time: 0.0223 memory: 17006 grad_norm: 9.0243 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4895 loss: 1.4895 2022/07/29 16:10:30 - mmengine - INFO - Epoch(train) [120][2740/3757] lr: 2.5760e-03 eta: 1 day, 2:29:55 time: 0.4197 data_time: 0.0195 memory: 17006 grad_norm: 8.9393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5802 loss: 1.5802 2022/07/29 16:10:38 - mmengine - INFO - Epoch(train) [120][2760/3757] lr: 2.5760e-03 eta: 1 day, 2:29:40 time: 0.4032 data_time: 0.0208 memory: 17006 grad_norm: 8.8260 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5250 loss: 1.5250 2022/07/29 16:10:46 - mmengine - INFO - Epoch(train) [120][2780/3757] lr: 2.5760e-03 eta: 1 day, 2:29:29 time: 0.4124 data_time: 0.0177 memory: 17006 grad_norm: 8.9372 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4726 loss: 1.4726 2022/07/29 16:10:55 - mmengine - INFO - Epoch(train) [120][2800/3757] lr: 2.5760e-03 eta: 1 day, 2:29:21 time: 0.4228 data_time: 0.0231 memory: 17006 grad_norm: 8.9693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5405 loss: 1.5405 2022/07/29 16:11:04 - mmengine - INFO - Epoch(train) [120][2820/3757] lr: 2.5760e-03 eta: 1 day, 2:29:19 time: 0.4404 data_time: 0.0173 memory: 17006 grad_norm: 9.2733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9348 loss: 1.9348 2022/07/29 16:11:12 - mmengine - INFO - Epoch(train) [120][2840/3757] lr: 2.5760e-03 eta: 1 day, 2:29:10 time: 0.4211 data_time: 0.0228 memory: 17006 grad_norm: 9.3784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7972 loss: 1.7972 2022/07/29 16:11:20 - mmengine - INFO - Epoch(train) [120][2860/3757] lr: 2.5760e-03 eta: 1 day, 2:28:56 time: 0.4022 data_time: 0.0185 memory: 17006 grad_norm: 9.1553 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9439 loss: 1.9439 2022/07/29 16:11:28 - mmengine - INFO - Epoch(train) [120][2880/3757] lr: 2.5760e-03 eta: 1 day, 2:28:41 time: 0.4018 data_time: 0.0203 memory: 17006 grad_norm: 8.9420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4913 loss: 1.4913 2022/07/29 16:11:38 - mmengine - INFO - Epoch(train) [120][2900/3757] lr: 2.5760e-03 eta: 1 day, 2:28:50 time: 0.4758 data_time: 0.0195 memory: 17006 grad_norm: 9.1176 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5747 loss: 1.5747 2022/07/29 16:11:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:11:46 - mmengine - INFO - Epoch(train) [120][2920/3757] lr: 2.5760e-03 eta: 1 day, 2:28:37 time: 0.4066 data_time: 0.0221 memory: 17006 grad_norm: 9.3802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5942 loss: 1.5942 2022/07/29 16:11:54 - mmengine - INFO - Epoch(train) [120][2940/3757] lr: 2.5760e-03 eta: 1 day, 2:28:30 time: 0.4244 data_time: 0.0197 memory: 17006 grad_norm: 8.6411 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6673 loss: 1.6673 2022/07/29 16:12:03 - mmengine - INFO - Epoch(train) [120][2960/3757] lr: 2.5760e-03 eta: 1 day, 2:28:19 time: 0.4142 data_time: 0.0222 memory: 17006 grad_norm: 8.9490 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6448 loss: 1.6448 2022/07/29 16:12:11 - mmengine - INFO - Epoch(train) [120][2980/3757] lr: 2.5760e-03 eta: 1 day, 2:28:04 time: 0.4017 data_time: 0.0174 memory: 17006 grad_norm: 9.0834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6347 loss: 1.6347 2022/07/29 16:12:19 - mmengine - INFO - Epoch(train) [120][3000/3757] lr: 2.5760e-03 eta: 1 day, 2:27:50 time: 0.4034 data_time: 0.0207 memory: 17006 grad_norm: 8.8048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8151 loss: 1.8151 2022/07/29 16:12:29 - mmengine - INFO - Epoch(train) [120][3020/3757] lr: 2.5760e-03 eta: 1 day, 2:28:03 time: 0.4885 data_time: 0.0303 memory: 17006 grad_norm: 8.5831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7260 loss: 1.7260 2022/07/29 16:12:37 - mmengine - INFO - Epoch(train) [120][3040/3757] lr: 2.5760e-03 eta: 1 day, 2:27:49 time: 0.4026 data_time: 0.0203 memory: 17006 grad_norm: 9.0785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6523 loss: 1.6523 2022/07/29 16:12:45 - mmengine - INFO - Epoch(train) [120][3060/3757] lr: 2.5760e-03 eta: 1 day, 2:27:40 time: 0.4191 data_time: 0.0221 memory: 17006 grad_norm: 8.8565 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6012 loss: 1.6012 2022/07/29 16:12:54 - mmengine - INFO - Epoch(train) [120][3080/3757] lr: 2.5760e-03 eta: 1 day, 2:27:43 time: 0.4574 data_time: 0.0204 memory: 17006 grad_norm: 9.3369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8498 loss: 1.8498 2022/07/29 16:13:02 - mmengine - INFO - Epoch(train) [120][3100/3757] lr: 2.5760e-03 eta: 1 day, 2:27:31 time: 0.4101 data_time: 0.0204 memory: 17006 grad_norm: 9.2526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7242 loss: 1.7242 2022/07/29 16:13:11 - mmengine - INFO - Epoch(train) [120][3120/3757] lr: 2.5760e-03 eta: 1 day, 2:27:16 time: 0.4027 data_time: 0.0191 memory: 17006 grad_norm: 8.6939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6326 loss: 1.6326 2022/07/29 16:13:19 - mmengine - INFO - Epoch(train) [120][3140/3757] lr: 2.5760e-03 eta: 1 day, 2:27:02 time: 0.4023 data_time: 0.0175 memory: 17006 grad_norm: 8.9438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5670 loss: 1.5670 2022/07/29 16:13:27 - mmengine - INFO - Epoch(train) [120][3160/3757] lr: 2.5760e-03 eta: 1 day, 2:26:52 time: 0.4171 data_time: 0.0224 memory: 17006 grad_norm: 9.0656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5193 loss: 1.5193 2022/07/29 16:13:36 - mmengine - INFO - Epoch(train) [120][3180/3757] lr: 2.5760e-03 eta: 1 day, 2:26:52 time: 0.4470 data_time: 0.0177 memory: 17006 grad_norm: 8.8903 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5490 loss: 1.5490 2022/07/29 16:13:44 - mmengine - INFO - Epoch(train) [120][3200/3757] lr: 2.5760e-03 eta: 1 day, 2:26:45 time: 0.4247 data_time: 0.0231 memory: 17006 grad_norm: 8.7055 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7102 loss: 1.7102 2022/07/29 16:13:53 - mmengine - INFO - Epoch(train) [120][3220/3757] lr: 2.5760e-03 eta: 1 day, 2:26:30 time: 0.4027 data_time: 0.0172 memory: 17006 grad_norm: 9.1205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6867 loss: 1.6867 2022/07/29 16:14:01 - mmengine - INFO - Epoch(train) [120][3240/3757] lr: 2.5760e-03 eta: 1 day, 2:26:20 time: 0.4160 data_time: 0.0237 memory: 17006 grad_norm: 8.9560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3991 loss: 1.3991 2022/07/29 16:14:09 - mmengine - INFO - Epoch(train) [120][3260/3757] lr: 2.5760e-03 eta: 1 day, 2:26:05 time: 0.3996 data_time: 0.0170 memory: 17006 grad_norm: 8.8440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5451 loss: 1.5451 2022/07/29 16:14:17 - mmengine - INFO - Epoch(train) [120][3280/3757] lr: 2.5760e-03 eta: 1 day, 2:25:52 time: 0.4055 data_time: 0.0202 memory: 17006 grad_norm: 9.3340 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3064 loss: 1.3064 2022/07/29 16:14:26 - mmengine - INFO - Epoch(train) [120][3300/3757] lr: 2.5760e-03 eta: 1 day, 2:25:51 time: 0.4450 data_time: 0.0193 memory: 17006 grad_norm: 9.0867 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5894 loss: 1.5894 2022/07/29 16:14:34 - mmengine - INFO - Epoch(train) [120][3320/3757] lr: 2.5760e-03 eta: 1 day, 2:25:43 time: 0.4240 data_time: 0.0220 memory: 17006 grad_norm: 9.0664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7846 loss: 1.7846 2022/07/29 16:14:43 - mmengine - INFO - Epoch(train) [120][3340/3757] lr: 2.5760e-03 eta: 1 day, 2:25:36 time: 0.4244 data_time: 0.0218 memory: 17006 grad_norm: 8.8685 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5054 loss: 1.5054 2022/07/29 16:14:51 - mmengine - INFO - Epoch(train) [120][3360/3757] lr: 2.5760e-03 eta: 1 day, 2:25:23 time: 0.4069 data_time: 0.0197 memory: 17006 grad_norm: 9.4965 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8252 loss: 1.8252 2022/07/29 16:14:59 - mmengine - INFO - Epoch(train) [120][3380/3757] lr: 2.5760e-03 eta: 1 day, 2:25:08 time: 0.4021 data_time: 0.0196 memory: 17006 grad_norm: 9.4733 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7076 loss: 1.7076 2022/07/29 16:15:08 - mmengine - INFO - Epoch(train) [120][3400/3757] lr: 2.5760e-03 eta: 1 day, 2:25:04 time: 0.4352 data_time: 0.0231 memory: 17006 grad_norm: 9.0174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5401 loss: 1.5401 2022/07/29 16:15:16 - mmengine - INFO - Epoch(train) [120][3420/3757] lr: 2.5760e-03 eta: 1 day, 2:24:53 time: 0.4130 data_time: 0.0178 memory: 17006 grad_norm: 8.8288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5994 loss: 1.5994 2022/07/29 16:15:25 - mmengine - INFO - Epoch(train) [120][3440/3757] lr: 2.5760e-03 eta: 1 day, 2:24:49 time: 0.4341 data_time: 0.0230 memory: 17006 grad_norm: 9.1268 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2833 loss: 1.2833 2022/07/29 16:15:33 - mmengine - INFO - Epoch(train) [120][3460/3757] lr: 2.5760e-03 eta: 1 day, 2:24:34 time: 0.4016 data_time: 0.0182 memory: 17006 grad_norm: 9.0721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5871 loss: 1.5871 2022/07/29 16:15:42 - mmengine - INFO - Epoch(train) [120][3480/3757] lr: 2.5760e-03 eta: 1 day, 2:24:40 time: 0.4658 data_time: 0.0221 memory: 17006 grad_norm: 8.9824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7737 loss: 1.7737 2022/07/29 16:15:50 - mmengine - INFO - Epoch(train) [120][3500/3757] lr: 2.5760e-03 eta: 1 day, 2:24:26 time: 0.4050 data_time: 0.0182 memory: 17006 grad_norm: 9.4090 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/07/29 16:15:58 - mmengine - INFO - Epoch(train) [120][3520/3757] lr: 2.5760e-03 eta: 1 day, 2:24:12 time: 0.4030 data_time: 0.0212 memory: 17006 grad_norm: 9.3160 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.6546 loss: 1.6546 2022/07/29 16:16:07 - mmengine - INFO - Epoch(train) [120][3540/3757] lr: 2.5760e-03 eta: 1 day, 2:24:06 time: 0.4282 data_time: 0.0185 memory: 17006 grad_norm: 9.1323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6817 loss: 1.6817 2022/07/29 16:16:15 - mmengine - INFO - Epoch(train) [120][3560/3757] lr: 2.5760e-03 eta: 1 day, 2:23:55 time: 0.4123 data_time: 0.0221 memory: 17006 grad_norm: 9.5190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7026 loss: 1.7026 2022/07/29 16:16:25 - mmengine - INFO - Epoch(train) [120][3580/3757] lr: 2.5760e-03 eta: 1 day, 2:24:00 time: 0.4660 data_time: 0.0205 memory: 17006 grad_norm: 9.0661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6842 loss: 1.6842 2022/07/29 16:16:33 - mmengine - INFO - Epoch(train) [120][3600/3757] lr: 2.5760e-03 eta: 1 day, 2:23:46 time: 0.4025 data_time: 0.0209 memory: 17006 grad_norm: 9.4496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9023 loss: 1.9023 2022/07/29 16:16:42 - mmengine - INFO - Epoch(train) [120][3620/3757] lr: 2.5760e-03 eta: 1 day, 2:23:57 time: 0.4868 data_time: 0.0198 memory: 17006 grad_norm: 9.3202 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6615 loss: 1.6615 2022/07/29 16:16:51 - mmengine - INFO - Epoch(train) [120][3640/3757] lr: 2.5760e-03 eta: 1 day, 2:23:44 time: 0.4069 data_time: 0.0212 memory: 17006 grad_norm: 8.9942 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3677 loss: 1.3677 2022/07/29 16:16:59 - mmengine - INFO - Epoch(train) [120][3660/3757] lr: 2.5760e-03 eta: 1 day, 2:23:31 time: 0.4039 data_time: 0.0209 memory: 17006 grad_norm: 8.9205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6839 loss: 1.6839 2022/07/29 16:17:07 - mmengine - INFO - Epoch(train) [120][3680/3757] lr: 2.5760e-03 eta: 1 day, 2:23:24 time: 0.4258 data_time: 0.0229 memory: 17006 grad_norm: 8.8731 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3390 loss: 1.3390 2022/07/29 16:17:15 - mmengine - INFO - Epoch(train) [120][3700/3757] lr: 2.5760e-03 eta: 1 day, 2:23:10 time: 0.4043 data_time: 0.0179 memory: 17006 grad_norm: 9.4515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7713 loss: 1.7713 2022/07/29 16:17:24 - mmengine - INFO - Epoch(train) [120][3720/3757] lr: 2.5760e-03 eta: 1 day, 2:23:05 time: 0.4316 data_time: 0.0234 memory: 17006 grad_norm: 8.9925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3541 loss: 1.3541 2022/07/29 16:17:32 - mmengine - INFO - Epoch(train) [120][3740/3757] lr: 2.5760e-03 eta: 1 day, 2:22:52 time: 0.4049 data_time: 0.0185 memory: 17006 grad_norm: 9.1689 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4839 loss: 1.4839 2022/07/29 16:17:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:17:39 - mmengine - INFO - Epoch(train) [120][3757/3757] lr: 2.5760e-03 eta: 1 day, 2:22:52 time: 0.3949 data_time: 0.0202 memory: 17006 grad_norm: 8.7651 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3172 loss: 1.3172 2022/07/29 16:17:39 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/07/29 16:19:27 - mmengine - INFO - Epoch(val) [120][20/310] eta: 0:24:35 time: 5.0863 data_time: 4.9698 memory: 3958 2022/07/29 16:19:31 - mmengine - INFO - Epoch(val) [120][40/310] eta: 0:00:55 time: 0.2039 data_time: 0.0777 memory: 3958 2022/07/29 16:19:35 - mmengine - INFO - Epoch(val) [120][60/310] eta: 0:00:51 time: 0.2042 data_time: 0.0816 memory: 3958 2022/07/29 16:19:39 - mmengine - INFO - Epoch(val) [120][80/310] eta: 0:00:47 time: 0.2087 data_time: 0.0866 memory: 3958 2022/07/29 16:19:44 - mmengine - INFO - Epoch(val) [120][100/310] eta: 0:00:46 time: 0.2237 data_time: 0.0920 memory: 3958 2022/07/29 16:19:48 - mmengine - INFO - Epoch(val) [120][120/310] eta: 0:00:37 time: 0.1996 data_time: 0.0790 memory: 3958 2022/07/29 16:19:53 - mmengine - INFO - Epoch(val) [120][140/310] eta: 0:00:44 time: 0.2626 data_time: 0.1189 memory: 3958 2022/07/29 16:19:57 - mmengine - INFO - Epoch(val) [120][160/310] eta: 0:00:29 time: 0.1996 data_time: 0.0797 memory: 3958 2022/07/29 16:20:02 - mmengine - INFO - Epoch(val) [120][180/310] eta: 0:00:32 time: 0.2470 data_time: 0.1213 memory: 3958 2022/07/29 16:20:06 - mmengine - INFO - Epoch(val) [120][200/310] eta: 0:00:22 time: 0.2048 data_time: 0.0883 memory: 3958 2022/07/29 16:20:11 - mmengine - INFO - Epoch(val) [120][220/310] eta: 0:00:21 time: 0.2417 data_time: 0.1021 memory: 3958 2022/07/29 16:20:15 - mmengine - INFO - Epoch(val) [120][240/310] eta: 0:00:13 time: 0.1921 data_time: 0.0702 memory: 3958 2022/07/29 16:20:19 - mmengine - INFO - Epoch(val) [120][260/310] eta: 0:00:10 time: 0.2197 data_time: 0.0978 memory: 3958 2022/07/29 16:20:23 - mmengine - INFO - Epoch(val) [120][280/310] eta: 0:00:06 time: 0.2075 data_time: 0.0874 memory: 3958 2022/07/29 16:20:28 - mmengine - INFO - Epoch(val) [120][300/310] eta: 0:00:02 time: 0.2224 data_time: 0.0996 memory: 3958 2022/07/29 16:20:33 - mmengine - INFO - Epoch(val) [120][310/310] acc/top1: 0.6331 acc/top5: 0.8497 acc/mean1: 0.6331 2022/07/29 16:20:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/best_acc/top1_epoch_101.pth is removed 2022/07/29 16:20:35 - mmengine - INFO - The best checkpoint with 0.6331 acc/top1 at 121 epoch is saved to best_acc/top1_epoch_121.pth. 2022/07/29 16:20:45 - mmengine - INFO - Epoch(train) [121][20/3757] lr: 2.5000e-03 eta: 1 day, 2:21:12 time: 0.4984 data_time: 0.0788 memory: 17006 grad_norm: 9.0328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6941 loss: 1.6941 2022/07/29 16:20:54 - mmengine - INFO - Epoch(train) [121][40/3757] lr: 2.5000e-03 eta: 1 day, 2:21:08 time: 0.4371 data_time: 0.0215 memory: 17006 grad_norm: 8.7786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7160 loss: 1.7160 2022/07/29 16:21:02 - mmengine - INFO - Epoch(train) [121][60/3757] lr: 2.5000e-03 eta: 1 day, 2:20:54 time: 0.4017 data_time: 0.0176 memory: 17006 grad_norm: 8.8903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8978 loss: 1.8978 2022/07/29 16:21:10 - mmengine - INFO - Epoch(train) [121][80/3757] lr: 2.5000e-03 eta: 1 day, 2:20:42 time: 0.4073 data_time: 0.0199 memory: 17006 grad_norm: 8.8352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5688 loss: 1.5688 2022/07/29 16:21:18 - mmengine - INFO - Epoch(train) [121][100/3757] lr: 2.5000e-03 eta: 1 day, 2:20:30 time: 0.4102 data_time: 0.0184 memory: 17006 grad_norm: 9.2012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6331 loss: 1.6331 2022/07/29 16:21:27 - mmengine - INFO - Epoch(train) [121][120/3757] lr: 2.5000e-03 eta: 1 day, 2:20:21 time: 0.4181 data_time: 0.0211 memory: 17006 grad_norm: 8.7846 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5275 loss: 1.5275 2022/07/29 16:21:35 - mmengine - INFO - Epoch(train) [121][140/3757] lr: 2.5000e-03 eta: 1 day, 2:20:13 time: 0.4235 data_time: 0.0261 memory: 17006 grad_norm: 8.9803 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9154 loss: 1.9154 2022/07/29 16:21:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:21:43 - mmengine - INFO - Epoch(train) [121][160/3757] lr: 2.5000e-03 eta: 1 day, 2:20:00 time: 0.4044 data_time: 0.0210 memory: 17006 grad_norm: 9.0839 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3512 loss: 1.3512 2022/07/29 16:21:52 - mmengine - INFO - Epoch(train) [121][180/3757] lr: 2.5000e-03 eta: 1 day, 2:19:52 time: 0.4225 data_time: 0.0196 memory: 17006 grad_norm: 8.9283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/07/29 16:22:00 - mmengine - INFO - Epoch(train) [121][200/3757] lr: 2.5000e-03 eta: 1 day, 2:19:38 time: 0.4034 data_time: 0.0208 memory: 17006 grad_norm: 8.9687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7689 loss: 1.7689 2022/07/29 16:22:08 - mmengine - INFO - Epoch(train) [121][220/3757] lr: 2.5000e-03 eta: 1 day, 2:19:27 time: 0.4127 data_time: 0.0197 memory: 17006 grad_norm: 9.3543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7931 loss: 1.7931 2022/07/29 16:22:17 - mmengine - INFO - Epoch(train) [121][240/3757] lr: 2.5000e-03 eta: 1 day, 2:19:21 time: 0.4285 data_time: 0.0219 memory: 17006 grad_norm: 8.9251 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6897 loss: 1.6897 2022/07/29 16:22:25 - mmengine - INFO - Epoch(train) [121][260/3757] lr: 2.5000e-03 eta: 1 day, 2:19:11 time: 0.4139 data_time: 0.0188 memory: 17006 grad_norm: 9.0444 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4614 loss: 1.4614 2022/07/29 16:22:33 - mmengine - INFO - Epoch(train) [121][280/3757] lr: 2.5000e-03 eta: 1 day, 2:18:59 time: 0.4104 data_time: 0.0226 memory: 17006 grad_norm: 9.0139 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7698 loss: 1.7698 2022/07/29 16:22:41 - mmengine - INFO - Epoch(train) [121][300/3757] lr: 2.5000e-03 eta: 1 day, 2:18:46 time: 0.4030 data_time: 0.0212 memory: 17006 grad_norm: 9.0161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6385 loss: 1.6385 2022/07/29 16:22:50 - mmengine - INFO - Epoch(train) [121][320/3757] lr: 2.5000e-03 eta: 1 day, 2:18:32 time: 0.4039 data_time: 0.0207 memory: 17006 grad_norm: 8.8844 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4917 loss: 1.4917 2022/07/29 16:22:58 - mmengine - INFO - Epoch(train) [121][340/3757] lr: 2.5000e-03 eta: 1 day, 2:18:27 time: 0.4304 data_time: 0.0197 memory: 17006 grad_norm: 9.2368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4134 loss: 1.4134 2022/07/29 16:23:06 - mmengine - INFO - Epoch(train) [121][360/3757] lr: 2.5000e-03 eta: 1 day, 2:18:14 time: 0.4051 data_time: 0.0217 memory: 17006 grad_norm: 8.9087 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4987 loss: 1.4987 2022/07/29 16:23:16 - mmengine - INFO - Epoch(train) [121][380/3757] lr: 2.5000e-03 eta: 1 day, 2:18:19 time: 0.4676 data_time: 0.0216 memory: 17006 grad_norm: 9.0663 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6041 loss: 1.6041 2022/07/29 16:23:24 - mmengine - INFO - Epoch(train) [121][400/3757] lr: 2.5000e-03 eta: 1 day, 2:18:07 time: 0.4075 data_time: 0.0231 memory: 17006 grad_norm: 8.7048 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6687 loss: 1.6687 2022/07/29 16:23:33 - mmengine - INFO - Epoch(train) [121][420/3757] lr: 2.5000e-03 eta: 1 day, 2:18:10 time: 0.4609 data_time: 0.0208 memory: 17006 grad_norm: 9.1209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7297 loss: 1.7297 2022/07/29 16:23:41 - mmengine - INFO - Epoch(train) [121][440/3757] lr: 2.5000e-03 eta: 1 day, 2:17:57 time: 0.4066 data_time: 0.0219 memory: 17006 grad_norm: 8.9528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5048 loss: 1.5048 2022/07/29 16:23:49 - mmengine - INFO - Epoch(train) [121][460/3757] lr: 2.5000e-03 eta: 1 day, 2:17:44 time: 0.4026 data_time: 0.0191 memory: 17006 grad_norm: 9.3786 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9793 loss: 1.9793 2022/07/29 16:23:58 - mmengine - INFO - Epoch(train) [121][480/3757] lr: 2.5000e-03 eta: 1 day, 2:17:40 time: 0.4386 data_time: 0.0218 memory: 17006 grad_norm: 9.2176 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8104 loss: 1.8104 2022/07/29 16:24:06 - mmengine - INFO - Epoch(train) [121][500/3757] lr: 2.5000e-03 eta: 1 day, 2:17:27 time: 0.4048 data_time: 0.0188 memory: 17006 grad_norm: 9.0204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9069 loss: 1.9069 2022/07/29 16:24:15 - mmengine - INFO - Epoch(train) [121][520/3757] lr: 2.5000e-03 eta: 1 day, 2:17:21 time: 0.4279 data_time: 0.0202 memory: 17006 grad_norm: 8.7314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5676 loss: 1.5676 2022/07/29 16:24:23 - mmengine - INFO - Epoch(train) [121][540/3757] lr: 2.5000e-03 eta: 1 day, 2:17:08 time: 0.4038 data_time: 0.0189 memory: 17006 grad_norm: 9.0947 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6108 loss: 1.6108 2022/07/29 16:24:32 - mmengine - INFO - Epoch(train) [121][560/3757] lr: 2.5000e-03 eta: 1 day, 2:17:07 time: 0.4457 data_time: 0.0228 memory: 17006 grad_norm: 8.7305 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3433 loss: 1.3433 2022/07/29 16:24:40 - mmengine - INFO - Epoch(train) [121][580/3757] lr: 2.5000e-03 eta: 1 day, 2:16:52 time: 0.3991 data_time: 0.0170 memory: 17006 grad_norm: 9.1542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8088 loss: 1.8088 2022/07/29 16:24:48 - mmengine - INFO - Epoch(train) [121][600/3757] lr: 2.5000e-03 eta: 1 day, 2:16:39 time: 0.4063 data_time: 0.0209 memory: 17006 grad_norm: 9.0284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5579 loss: 1.5579 2022/07/29 16:24:58 - mmengine - INFO - Epoch(train) [121][620/3757] lr: 2.5000e-03 eta: 1 day, 2:16:47 time: 0.4786 data_time: 0.0193 memory: 17006 grad_norm: 9.3095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7622 loss: 1.7622 2022/07/29 16:25:06 - mmengine - INFO - Epoch(train) [121][640/3757] lr: 2.5000e-03 eta: 1 day, 2:16:35 time: 0.4065 data_time: 0.0226 memory: 17006 grad_norm: 9.0787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5467 loss: 1.5467 2022/07/29 16:25:14 - mmengine - INFO - Epoch(train) [121][660/3757] lr: 2.5000e-03 eta: 1 day, 2:16:31 time: 0.4357 data_time: 0.0217 memory: 17006 grad_norm: 9.1116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6208 loss: 1.6208 2022/07/29 16:25:23 - mmengine - INFO - Epoch(train) [121][680/3757] lr: 2.5000e-03 eta: 1 day, 2:16:18 time: 0.4074 data_time: 0.0217 memory: 17006 grad_norm: 9.2068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6220 loss: 1.6220 2022/07/29 16:25:31 - mmengine - INFO - Epoch(train) [121][700/3757] lr: 2.5000e-03 eta: 1 day, 2:16:15 time: 0.4388 data_time: 0.0190 memory: 17006 grad_norm: 9.0969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6499 loss: 1.6499 2022/07/29 16:25:40 - mmengine - INFO - Epoch(train) [121][720/3757] lr: 2.5000e-03 eta: 1 day, 2:16:03 time: 0.4072 data_time: 0.0216 memory: 17006 grad_norm: 9.1098 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5635 loss: 1.5635 2022/07/29 16:25:48 - mmengine - INFO - Epoch(train) [121][740/3757] lr: 2.5000e-03 eta: 1 day, 2:15:50 time: 0.4070 data_time: 0.0186 memory: 17006 grad_norm: 9.3640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7128 loss: 1.7128 2022/07/29 16:25:56 - mmengine - INFO - Epoch(train) [121][760/3757] lr: 2.5000e-03 eta: 1 day, 2:15:40 time: 0.4150 data_time: 0.0235 memory: 17006 grad_norm: 9.3249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7133 loss: 1.7133 2022/07/29 16:26:04 - mmengine - INFO - Epoch(train) [121][780/3757] lr: 2.5000e-03 eta: 1 day, 2:15:27 time: 0.4027 data_time: 0.0193 memory: 17006 grad_norm: 9.0138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5744 loss: 1.5744 2022/07/29 16:26:13 - mmengine - INFO - Epoch(train) [121][800/3757] lr: 2.5000e-03 eta: 1 day, 2:15:23 time: 0.4384 data_time: 0.0239 memory: 17006 grad_norm: 9.1495 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9811 loss: 1.9811 2022/07/29 16:26:22 - mmengine - INFO - Epoch(train) [121][820/3757] lr: 2.5000e-03 eta: 1 day, 2:15:19 time: 0.4338 data_time: 0.0192 memory: 17006 grad_norm: 8.9966 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4981 loss: 1.4981 2022/07/29 16:26:30 - mmengine - INFO - Epoch(train) [121][840/3757] lr: 2.5000e-03 eta: 1 day, 2:15:05 time: 0.4031 data_time: 0.0206 memory: 17006 grad_norm: 8.8702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6859 loss: 1.6859 2022/07/29 16:26:38 - mmengine - INFO - Epoch(train) [121][860/3757] lr: 2.5000e-03 eta: 1 day, 2:14:54 time: 0.4123 data_time: 0.0181 memory: 17006 grad_norm: 9.2560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4629 loss: 1.4629 2022/07/29 16:26:46 - mmengine - INFO - Epoch(train) [121][880/3757] lr: 2.5000e-03 eta: 1 day, 2:14:43 time: 0.4105 data_time: 0.0224 memory: 17006 grad_norm: 9.1390 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5997 loss: 1.5997 2022/07/29 16:26:55 - mmengine - INFO - Epoch(train) [121][900/3757] lr: 2.5000e-03 eta: 1 day, 2:14:33 time: 0.4133 data_time: 0.0195 memory: 17006 grad_norm: 9.0731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8728 loss: 1.8728 2022/07/29 16:27:03 - mmengine - INFO - Epoch(train) [121][920/3757] lr: 2.5000e-03 eta: 1 day, 2:14:22 time: 0.4139 data_time: 0.0224 memory: 17006 grad_norm: 8.9604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6083 loss: 1.6083 2022/07/29 16:27:11 - mmengine - INFO - Epoch(train) [121][940/3757] lr: 2.5000e-03 eta: 1 day, 2:14:13 time: 0.4185 data_time: 0.0188 memory: 17006 grad_norm: 9.0729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9242 loss: 1.9242 2022/07/29 16:27:19 - mmengine - INFO - Epoch(train) [121][960/3757] lr: 2.5000e-03 eta: 1 day, 2:14:00 time: 0.4035 data_time: 0.0212 memory: 17006 grad_norm: 8.8597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3795 loss: 1.3795 2022/07/29 16:27:27 - mmengine - INFO - Epoch(train) [121][980/3757] lr: 2.5000e-03 eta: 1 day, 2:13:47 time: 0.4037 data_time: 0.0195 memory: 17006 grad_norm: 9.1004 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7467 loss: 1.7467 2022/07/29 16:27:36 - mmengine - INFO - Epoch(train) [121][1000/3757] lr: 2.5000e-03 eta: 1 day, 2:13:38 time: 0.4188 data_time: 0.0215 memory: 17006 grad_norm: 8.8291 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7348 loss: 1.7348 2022/07/29 16:27:44 - mmengine - INFO - Epoch(train) [121][1020/3757] lr: 2.5000e-03 eta: 1 day, 2:13:30 time: 0.4218 data_time: 0.0224 memory: 17006 grad_norm: 8.7455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5785 loss: 1.5785 2022/07/29 16:27:52 - mmengine - INFO - Epoch(train) [121][1040/3757] lr: 2.5000e-03 eta: 1 day, 2:13:18 time: 0.4093 data_time: 0.0216 memory: 17006 grad_norm: 8.8172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5990 loss: 1.5990 2022/07/29 16:28:01 - mmengine - INFO - Epoch(train) [121][1060/3757] lr: 2.5000e-03 eta: 1 day, 2:13:04 time: 0.4019 data_time: 0.0174 memory: 17006 grad_norm: 8.8477 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5428 loss: 1.5428 2022/07/29 16:28:09 - mmengine - INFO - Epoch(train) [121][1080/3757] lr: 2.5000e-03 eta: 1 day, 2:12:53 time: 0.4100 data_time: 0.0208 memory: 17006 grad_norm: 8.9966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7344 loss: 1.7344 2022/07/29 16:28:17 - mmengine - INFO - Epoch(train) [121][1100/3757] lr: 2.5000e-03 eta: 1 day, 2:12:44 time: 0.4182 data_time: 0.0192 memory: 17006 grad_norm: 9.0455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4442 loss: 1.4442 2022/07/29 16:28:25 - mmengine - INFO - Epoch(train) [121][1120/3757] lr: 2.5000e-03 eta: 1 day, 2:12:34 time: 0.4136 data_time: 0.0213 memory: 17006 grad_norm: 9.0442 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5334 loss: 1.5334 2022/07/29 16:28:34 - mmengine - INFO - Epoch(train) [121][1140/3757] lr: 2.5000e-03 eta: 1 day, 2:12:27 time: 0.4263 data_time: 0.0204 memory: 17006 grad_norm: 9.1271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4344 loss: 1.4344 2022/07/29 16:28:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:28:42 - mmengine - INFO - Epoch(train) [121][1160/3757] lr: 2.5000e-03 eta: 1 day, 2:12:16 time: 0.4140 data_time: 0.0215 memory: 17006 grad_norm: 9.0438 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6873 loss: 1.6873 2022/07/29 16:28:50 - mmengine - INFO - Epoch(train) [121][1180/3757] lr: 2.5000e-03 eta: 1 day, 2:12:03 time: 0.4024 data_time: 0.0184 memory: 17006 grad_norm: 8.9797 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7185 loss: 1.7185 2022/07/29 16:28:59 - mmengine - INFO - Epoch(train) [121][1200/3757] lr: 2.5000e-03 eta: 1 day, 2:11:56 time: 0.4255 data_time: 0.0226 memory: 17006 grad_norm: 9.5018 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6160 loss: 1.6160 2022/07/29 16:29:08 - mmengine - INFO - Epoch(train) [121][1220/3757] lr: 2.5000e-03 eta: 1 day, 2:11:51 time: 0.4330 data_time: 0.0200 memory: 17006 grad_norm: 8.8538 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4795 loss: 1.4795 2022/07/29 16:29:16 - mmengine - INFO - Epoch(train) [121][1240/3757] lr: 2.5000e-03 eta: 1 day, 2:11:40 time: 0.4128 data_time: 0.0217 memory: 17006 grad_norm: 9.3705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5355 loss: 1.5355 2022/07/29 16:29:24 - mmengine - INFO - Epoch(train) [121][1260/3757] lr: 2.5000e-03 eta: 1 day, 2:11:28 time: 0.4078 data_time: 0.0186 memory: 17006 grad_norm: 9.3778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8091 loss: 1.8091 2022/07/29 16:29:32 - mmengine - INFO - Epoch(train) [121][1280/3757] lr: 2.5000e-03 eta: 1 day, 2:11:17 time: 0.4089 data_time: 0.0220 memory: 17006 grad_norm: 9.1469 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7533 loss: 1.7533 2022/07/29 16:29:40 - mmengine - INFO - Epoch(train) [121][1300/3757] lr: 2.5000e-03 eta: 1 day, 2:11:04 time: 0.4036 data_time: 0.0191 memory: 17006 grad_norm: 8.8384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8639 loss: 1.8639 2022/07/29 16:29:48 - mmengine - INFO - Epoch(train) [121][1320/3757] lr: 2.5000e-03 eta: 1 day, 2:10:51 time: 0.4058 data_time: 0.0211 memory: 17006 grad_norm: 9.0330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8815 loss: 1.8815 2022/07/29 16:29:57 - mmengine - INFO - Epoch(train) [121][1340/3757] lr: 2.5000e-03 eta: 1 day, 2:10:45 time: 0.4272 data_time: 0.0288 memory: 17006 grad_norm: 9.0326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5672 loss: 1.5672 2022/07/29 16:30:05 - mmengine - INFO - Epoch(train) [121][1360/3757] lr: 2.5000e-03 eta: 1 day, 2:10:33 time: 0.4078 data_time: 0.0216 memory: 17006 grad_norm: 8.7767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8774 loss: 1.8774 2022/07/29 16:30:13 - mmengine - INFO - Epoch(train) [121][1380/3757] lr: 2.5000e-03 eta: 1 day, 2:10:21 time: 0.4079 data_time: 0.0194 memory: 17006 grad_norm: 9.1403 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6060 loss: 1.6060 2022/07/29 16:30:22 - mmengine - INFO - Epoch(train) [121][1400/3757] lr: 2.5000e-03 eta: 1 day, 2:10:10 time: 0.4128 data_time: 0.0224 memory: 17006 grad_norm: 9.0907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5508 loss: 1.5508 2022/07/29 16:30:30 - mmengine - INFO - Epoch(train) [121][1420/3757] lr: 2.5000e-03 eta: 1 day, 2:09:57 time: 0.4019 data_time: 0.0181 memory: 17006 grad_norm: 8.9471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6332 loss: 1.6332 2022/07/29 16:30:38 - mmengine - INFO - Epoch(train) [121][1440/3757] lr: 2.5000e-03 eta: 1 day, 2:09:50 time: 0.4271 data_time: 0.0229 memory: 17006 grad_norm: 9.1484 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2917 loss: 1.2917 2022/07/29 16:30:47 - mmengine - INFO - Epoch(train) [121][1460/3757] lr: 2.5000e-03 eta: 1 day, 2:09:41 time: 0.4165 data_time: 0.0188 memory: 17006 grad_norm: 8.8004 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6267 loss: 1.6267 2022/07/29 16:30:55 - mmengine - INFO - Epoch(train) [121][1480/3757] lr: 2.5000e-03 eta: 1 day, 2:09:29 time: 0.4070 data_time: 0.0225 memory: 17006 grad_norm: 8.7567 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5996 loss: 1.5996 2022/07/29 16:31:03 - mmengine - INFO - Epoch(train) [121][1500/3757] lr: 2.5000e-03 eta: 1 day, 2:09:17 time: 0.4096 data_time: 0.0206 memory: 17006 grad_norm: 8.6503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5132 loss: 1.5132 2022/07/29 16:31:11 - mmengine - INFO - Epoch(train) [121][1520/3757] lr: 2.5000e-03 eta: 1 day, 2:09:07 time: 0.4133 data_time: 0.0207 memory: 17006 grad_norm: 8.8265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4300 loss: 1.4300 2022/07/29 16:31:20 - mmengine - INFO - Epoch(train) [121][1540/3757] lr: 2.5000e-03 eta: 1 day, 2:09:01 time: 0.4292 data_time: 0.0207 memory: 17006 grad_norm: 9.1156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4107 loss: 1.4107 2022/07/29 16:31:28 - mmengine - INFO - Epoch(train) [121][1560/3757] lr: 2.5000e-03 eta: 1 day, 2:08:49 time: 0.4086 data_time: 0.0215 memory: 17006 grad_norm: 9.2946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3880 loss: 1.3880 2022/07/29 16:31:36 - mmengine - INFO - Epoch(train) [121][1580/3757] lr: 2.5000e-03 eta: 1 day, 2:08:40 time: 0.4192 data_time: 0.0218 memory: 17006 grad_norm: 9.2048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7126 loss: 1.7126 2022/07/29 16:31:45 - mmengine - INFO - Epoch(train) [121][1600/3757] lr: 2.5000e-03 eta: 1 day, 2:08:29 time: 0.4110 data_time: 0.0217 memory: 17006 grad_norm: 9.0316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8034 loss: 1.8034 2022/07/29 16:31:53 - mmengine - INFO - Epoch(train) [121][1620/3757] lr: 2.5000e-03 eta: 1 day, 2:08:24 time: 0.4301 data_time: 0.0208 memory: 17006 grad_norm: 8.4951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4742 loss: 1.4742 2022/07/29 16:32:01 - mmengine - INFO - Epoch(train) [121][1640/3757] lr: 2.5000e-03 eta: 1 day, 2:08:11 time: 0.4036 data_time: 0.0207 memory: 17006 grad_norm: 9.1499 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7510 loss: 1.7510 2022/07/29 16:32:10 - mmengine - INFO - Epoch(train) [121][1660/3757] lr: 2.5000e-03 eta: 1 day, 2:07:57 time: 0.4025 data_time: 0.0188 memory: 17006 grad_norm: 9.2529 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4056 loss: 1.4056 2022/07/29 16:32:18 - mmengine - INFO - Epoch(train) [121][1680/3757] lr: 2.5000e-03 eta: 1 day, 2:07:55 time: 0.4423 data_time: 0.0250 memory: 17006 grad_norm: 8.7924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7285 loss: 1.7285 2022/07/29 16:32:27 - mmengine - INFO - Epoch(train) [121][1700/3757] lr: 2.5000e-03 eta: 1 day, 2:07:43 time: 0.4067 data_time: 0.0190 memory: 17006 grad_norm: 9.1939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4953 loss: 1.4953 2022/07/29 16:32:35 - mmengine - INFO - Epoch(train) [121][1720/3757] lr: 2.5000e-03 eta: 1 day, 2:07:34 time: 0.4186 data_time: 0.0232 memory: 17006 grad_norm: 9.3950 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5967 loss: 1.5967 2022/07/29 16:32:43 - mmengine - INFO - Epoch(train) [121][1740/3757] lr: 2.5000e-03 eta: 1 day, 2:07:21 time: 0.4040 data_time: 0.0177 memory: 17006 grad_norm: 9.0598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4435 loss: 1.4435 2022/07/29 16:32:51 - mmengine - INFO - Epoch(train) [121][1760/3757] lr: 2.5000e-03 eta: 1 day, 2:07:10 time: 0.4092 data_time: 0.0212 memory: 17006 grad_norm: 8.6551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4452 loss: 1.4452 2022/07/29 16:33:00 - mmengine - INFO - Epoch(train) [121][1780/3757] lr: 2.5000e-03 eta: 1 day, 2:07:06 time: 0.4362 data_time: 0.0213 memory: 17006 grad_norm: 8.8502 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8344 loss: 1.8344 2022/07/29 16:33:08 - mmengine - INFO - Epoch(train) [121][1800/3757] lr: 2.5000e-03 eta: 1 day, 2:06:53 time: 0.4055 data_time: 0.0210 memory: 17006 grad_norm: 9.2094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3678 loss: 1.3678 2022/07/29 16:33:17 - mmengine - INFO - Epoch(train) [121][1820/3757] lr: 2.5000e-03 eta: 1 day, 2:06:46 time: 0.4245 data_time: 0.0214 memory: 17006 grad_norm: 9.2515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6868 loss: 1.6868 2022/07/29 16:33:25 - mmengine - INFO - Epoch(train) [121][1840/3757] lr: 2.5000e-03 eta: 1 day, 2:06:35 time: 0.4109 data_time: 0.0224 memory: 17006 grad_norm: 9.5282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7249 loss: 1.7249 2022/07/29 16:33:33 - mmengine - INFO - Epoch(train) [121][1860/3757] lr: 2.5000e-03 eta: 1 day, 2:06:25 time: 0.4132 data_time: 0.0189 memory: 17006 grad_norm: 9.1034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5790 loss: 1.5790 2022/07/29 16:33:41 - mmengine - INFO - Epoch(train) [121][1880/3757] lr: 2.5000e-03 eta: 1 day, 2:06:12 time: 0.4052 data_time: 0.0200 memory: 17006 grad_norm: 8.9948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5660 loss: 1.5660 2022/07/29 16:33:49 - mmengine - INFO - Epoch(train) [121][1900/3757] lr: 2.5000e-03 eta: 1 day, 2:05:59 time: 0.4041 data_time: 0.0178 memory: 17006 grad_norm: 9.3261 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6258 loss: 1.6258 2022/07/29 16:33:58 - mmengine - INFO - Epoch(train) [121][1920/3757] lr: 2.5000e-03 eta: 1 day, 2:05:52 time: 0.4227 data_time: 0.0223 memory: 17006 grad_norm: 9.2325 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5651 loss: 1.5651 2022/07/29 16:34:06 - mmengine - INFO - Epoch(train) [121][1940/3757] lr: 2.5000e-03 eta: 1 day, 2:05:40 time: 0.4075 data_time: 0.0191 memory: 17006 grad_norm: 9.6587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6969 loss: 1.6969 2022/07/29 16:34:15 - mmengine - INFO - Epoch(train) [121][1960/3757] lr: 2.5000e-03 eta: 1 day, 2:05:37 time: 0.4417 data_time: 0.0229 memory: 17006 grad_norm: 9.2132 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9070 loss: 1.9070 2022/07/29 16:34:23 - mmengine - INFO - Epoch(train) [121][1980/3757] lr: 2.5000e-03 eta: 1 day, 2:05:25 time: 0.4062 data_time: 0.0200 memory: 17006 grad_norm: 9.0464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/07/29 16:34:31 - mmengine - INFO - Epoch(train) [121][2000/3757] lr: 2.5000e-03 eta: 1 day, 2:05:12 time: 0.4042 data_time: 0.0205 memory: 17006 grad_norm: 9.1008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0810 loss: 2.0810 2022/07/29 16:34:40 - mmengine - INFO - Epoch(train) [121][2020/3757] lr: 2.5000e-03 eta: 1 day, 2:05:05 time: 0.4264 data_time: 0.0211 memory: 17006 grad_norm: 9.3023 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8267 loss: 1.8267 2022/07/29 16:34:48 - mmengine - INFO - Epoch(train) [121][2040/3757] lr: 2.5000e-03 eta: 1 day, 2:04:54 time: 0.4070 data_time: 0.0227 memory: 17006 grad_norm: 8.8591 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8700 loss: 1.8700 2022/07/29 16:34:57 - mmengine - INFO - Epoch(train) [121][2060/3757] lr: 2.5000e-03 eta: 1 day, 2:04:51 time: 0.4442 data_time: 0.0205 memory: 17006 grad_norm: 8.7605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8244 loss: 1.8244 2022/07/29 16:35:05 - mmengine - INFO - Epoch(train) [121][2080/3757] lr: 2.5000e-03 eta: 1 day, 2:04:42 time: 0.4157 data_time: 0.0218 memory: 17006 grad_norm: 8.5464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5407 loss: 1.5407 2022/07/29 16:35:13 - mmengine - INFO - Epoch(train) [121][2100/3757] lr: 2.5000e-03 eta: 1 day, 2:04:30 time: 0.4085 data_time: 0.0191 memory: 17006 grad_norm: 8.7654 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7925 loss: 1.7925 2022/07/29 16:35:21 - mmengine - INFO - Epoch(train) [121][2120/3757] lr: 2.5000e-03 eta: 1 day, 2:04:18 time: 0.4060 data_time: 0.0217 memory: 17006 grad_norm: 8.9151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5208 loss: 1.5208 2022/07/29 16:35:30 - mmengine - INFO - Epoch(train) [121][2140/3757] lr: 2.5000e-03 eta: 1 day, 2:04:08 time: 0.4152 data_time: 0.0174 memory: 17006 grad_norm: 9.3790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3711 loss: 1.3711 2022/07/29 16:35:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:35:38 - mmengine - INFO - Epoch(train) [121][2160/3757] lr: 2.5000e-03 eta: 1 day, 2:04:01 time: 0.4221 data_time: 0.0224 memory: 17006 grad_norm: 8.9231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5333 loss: 1.5333 2022/07/29 16:35:47 - mmengine - INFO - Epoch(train) [121][2180/3757] lr: 2.5000e-03 eta: 1 day, 2:03:51 time: 0.4159 data_time: 0.0188 memory: 17006 grad_norm: 9.1384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6359 loss: 1.6359 2022/07/29 16:35:55 - mmengine - INFO - Epoch(train) [121][2200/3757] lr: 2.5000e-03 eta: 1 day, 2:03:47 time: 0.4390 data_time: 0.0310 memory: 17006 grad_norm: 9.4924 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3947 loss: 1.3947 2022/07/29 16:36:04 - mmengine - INFO - Epoch(train) [121][2220/3757] lr: 2.5000e-03 eta: 1 day, 2:03:37 time: 0.4139 data_time: 0.0188 memory: 17006 grad_norm: 9.0745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6944 loss: 1.6944 2022/07/29 16:36:12 - mmengine - INFO - Epoch(train) [121][2240/3757] lr: 2.5000e-03 eta: 1 day, 2:03:28 time: 0.4171 data_time: 0.0201 memory: 17006 grad_norm: 9.0652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9626 loss: 1.9626 2022/07/29 16:36:20 - mmengine - INFO - Epoch(train) [121][2260/3757] lr: 2.5000e-03 eta: 1 day, 2:03:16 time: 0.4052 data_time: 0.0184 memory: 17006 grad_norm: 8.7589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5603 loss: 1.5603 2022/07/29 16:36:28 - mmengine - INFO - Epoch(train) [121][2280/3757] lr: 2.5000e-03 eta: 1 day, 2:03:04 time: 0.4058 data_time: 0.0204 memory: 17006 grad_norm: 9.3745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4905 loss: 1.4905 2022/07/29 16:36:37 - mmengine - INFO - Epoch(train) [121][2300/3757] lr: 2.5000e-03 eta: 1 day, 2:02:55 time: 0.4201 data_time: 0.0210 memory: 17006 grad_norm: 8.8708 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4399 loss: 1.4399 2022/07/29 16:36:46 - mmengine - INFO - Epoch(train) [121][2320/3757] lr: 2.5000e-03 eta: 1 day, 2:02:52 time: 0.4415 data_time: 0.0213 memory: 17006 grad_norm: 8.8855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5957 loss: 1.5957 2022/07/29 16:36:54 - mmengine - INFO - Epoch(train) [121][2340/3757] lr: 2.5000e-03 eta: 1 day, 2:02:43 time: 0.4178 data_time: 0.0196 memory: 17006 grad_norm: 9.0368 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7492 loss: 1.7492 2022/07/29 16:37:02 - mmengine - INFO - Epoch(train) [121][2360/3757] lr: 2.5000e-03 eta: 1 day, 2:02:31 time: 0.4069 data_time: 0.0212 memory: 17006 grad_norm: 9.6073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4414 loss: 1.4414 2022/07/29 16:37:10 - mmengine - INFO - Epoch(train) [121][2380/3757] lr: 2.5000e-03 eta: 1 day, 2:02:18 time: 0.4020 data_time: 0.0179 memory: 17006 grad_norm: 8.9920 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8250 loss: 1.8250 2022/07/29 16:37:19 - mmengine - INFO - Epoch(train) [121][2400/3757] lr: 2.5000e-03 eta: 1 day, 2:02:10 time: 0.4198 data_time: 0.0222 memory: 17006 grad_norm: 9.0264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5929 loss: 1.5929 2022/07/29 16:37:27 - mmengine - INFO - Epoch(train) [121][2420/3757] lr: 2.5000e-03 eta: 1 day, 2:01:58 time: 0.4070 data_time: 0.0178 memory: 17006 grad_norm: 9.0709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6502 loss: 1.6502 2022/07/29 16:37:35 - mmengine - INFO - Epoch(train) [121][2440/3757] lr: 2.5000e-03 eta: 1 day, 2:01:53 time: 0.4352 data_time: 0.0222 memory: 17006 grad_norm: 9.0930 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6233 loss: 1.6233 2022/07/29 16:37:44 - mmengine - INFO - Epoch(train) [121][2460/3757] lr: 2.5000e-03 eta: 1 day, 2:01:41 time: 0.4050 data_time: 0.0180 memory: 17006 grad_norm: 8.9240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7343 loss: 1.7343 2022/07/29 16:37:52 - mmengine - INFO - Epoch(train) [121][2480/3757] lr: 2.5000e-03 eta: 1 day, 2:01:30 time: 0.4087 data_time: 0.0209 memory: 17006 grad_norm: 9.0522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3816 loss: 1.3816 2022/07/29 16:38:00 - mmengine - INFO - Epoch(train) [121][2500/3757] lr: 2.5000e-03 eta: 1 day, 2:01:19 time: 0.4101 data_time: 0.0187 memory: 17006 grad_norm: 9.2728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6583 loss: 1.6583 2022/07/29 16:38:09 - mmengine - INFO - Epoch(train) [121][2520/3757] lr: 2.5000e-03 eta: 1 day, 2:01:13 time: 0.4317 data_time: 0.0207 memory: 17006 grad_norm: 8.6080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8377 loss: 1.8377 2022/07/29 16:38:17 - mmengine - INFO - Epoch(train) [121][2540/3757] lr: 2.5000e-03 eta: 1 day, 2:01:08 time: 0.4350 data_time: 0.0202 memory: 17006 grad_norm: 9.0169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8941 loss: 1.8941 2022/07/29 16:38:26 - mmengine - INFO - Epoch(train) [121][2560/3757] lr: 2.5000e-03 eta: 1 day, 2:00:56 time: 0.4053 data_time: 0.0223 memory: 17006 grad_norm: 8.8901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3998 loss: 1.3998 2022/07/29 16:38:34 - mmengine - INFO - Epoch(train) [121][2580/3757] lr: 2.5000e-03 eta: 1 day, 2:00:46 time: 0.4120 data_time: 0.0197 memory: 17006 grad_norm: 9.5763 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5246 loss: 1.5246 2022/07/29 16:38:42 - mmengine - INFO - Epoch(train) [121][2600/3757] lr: 2.5000e-03 eta: 1 day, 2:00:36 time: 0.4154 data_time: 0.0219 memory: 17006 grad_norm: 9.1859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7591 loss: 1.7591 2022/07/29 16:38:50 - mmengine - INFO - Epoch(train) [121][2620/3757] lr: 2.5000e-03 eta: 1 day, 2:00:24 time: 0.4049 data_time: 0.0177 memory: 17006 grad_norm: 8.9064 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6088 loss: 1.6088 2022/07/29 16:38:59 - mmengine - INFO - Epoch(train) [121][2640/3757] lr: 2.5000e-03 eta: 1 day, 2:00:18 time: 0.4312 data_time: 0.0236 memory: 17006 grad_norm: 9.6072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7936 loss: 1.7936 2022/07/29 16:39:07 - mmengine - INFO - Epoch(train) [121][2660/3757] lr: 2.5000e-03 eta: 1 day, 2:00:06 time: 0.4044 data_time: 0.0176 memory: 17006 grad_norm: 8.7258 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5846 loss: 1.5846 2022/07/29 16:39:15 - mmengine - INFO - Epoch(train) [121][2680/3757] lr: 2.5000e-03 eta: 1 day, 1:59:55 time: 0.4110 data_time: 0.0226 memory: 17006 grad_norm: 9.0452 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7724 loss: 1.7724 2022/07/29 16:39:23 - mmengine - INFO - Epoch(train) [121][2700/3757] lr: 2.5000e-03 eta: 1 day, 1:59:42 time: 0.4025 data_time: 0.0181 memory: 17006 grad_norm: 9.1089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6743 loss: 1.6743 2022/07/29 16:39:31 - mmengine - INFO - Epoch(train) [121][2720/3757] lr: 2.5000e-03 eta: 1 day, 1:59:30 time: 0.4042 data_time: 0.0211 memory: 17006 grad_norm: 8.8342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6100 loss: 1.6100 2022/07/29 16:39:40 - mmengine - INFO - Epoch(train) [121][2740/3757] lr: 2.5000e-03 eta: 1 day, 1:59:28 time: 0.4452 data_time: 0.0194 memory: 17006 grad_norm: 9.1482 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7413 loss: 1.7413 2022/07/29 16:39:48 - mmengine - INFO - Epoch(train) [121][2760/3757] lr: 2.5000e-03 eta: 1 day, 1:59:16 time: 0.4055 data_time: 0.0220 memory: 17006 grad_norm: 9.1305 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4553 loss: 1.4553 2022/07/29 16:39:57 - mmengine - INFO - Epoch(train) [121][2780/3757] lr: 2.5000e-03 eta: 1 day, 1:59:06 time: 0.4144 data_time: 0.0193 memory: 17006 grad_norm: 8.8731 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4665 loss: 1.4665 2022/07/29 16:40:05 - mmengine - INFO - Epoch(train) [121][2800/3757] lr: 2.5000e-03 eta: 1 day, 1:58:54 time: 0.4061 data_time: 0.0204 memory: 17006 grad_norm: 9.3581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7582 loss: 1.7582 2022/07/29 16:40:13 - mmengine - INFO - Epoch(train) [121][2820/3757] lr: 2.5000e-03 eta: 1 day, 1:58:44 time: 0.4141 data_time: 0.0196 memory: 17006 grad_norm: 8.6592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3932 loss: 1.3932 2022/07/29 16:40:21 - mmengine - INFO - Epoch(train) [121][2840/3757] lr: 2.5000e-03 eta: 1 day, 1:58:32 time: 0.4035 data_time: 0.0225 memory: 17006 grad_norm: 9.2249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6916 loss: 1.6916 2022/07/29 16:40:30 - mmengine - INFO - Epoch(train) [121][2860/3757] lr: 2.5000e-03 eta: 1 day, 1:58:26 time: 0.4327 data_time: 0.0202 memory: 17006 grad_norm: 9.0480 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6307 loss: 1.6307 2022/07/29 16:40:38 - mmengine - INFO - Epoch(train) [121][2880/3757] lr: 2.5000e-03 eta: 1 day, 1:58:16 time: 0.4120 data_time: 0.0213 memory: 17006 grad_norm: 8.9539 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7790 loss: 1.7790 2022/07/29 16:40:47 - mmengine - INFO - Epoch(train) [121][2900/3757] lr: 2.5000e-03 eta: 1 day, 1:58:08 time: 0.4233 data_time: 0.0208 memory: 17006 grad_norm: 9.4345 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0048 loss: 2.0048 2022/07/29 16:40:55 - mmengine - INFO - Epoch(train) [121][2920/3757] lr: 2.5000e-03 eta: 1 day, 1:57:58 time: 0.4118 data_time: 0.0212 memory: 17006 grad_norm: 9.1478 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.5126 loss: 1.5126 2022/07/29 16:41:03 - mmengine - INFO - Epoch(train) [121][2940/3757] lr: 2.5000e-03 eta: 1 day, 1:57:48 time: 0.4134 data_time: 0.0189 memory: 17006 grad_norm: 9.0376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7217 loss: 1.7217 2022/07/29 16:41:11 - mmengine - INFO - Epoch(train) [121][2960/3757] lr: 2.5000e-03 eta: 1 day, 1:57:35 time: 0.4038 data_time: 0.0208 memory: 17006 grad_norm: 8.9898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6476 loss: 1.6476 2022/07/29 16:41:20 - mmengine - INFO - Epoch(train) [121][2980/3757] lr: 2.5000e-03 eta: 1 day, 1:57:24 time: 0.4090 data_time: 0.0190 memory: 17006 grad_norm: 9.1009 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8062 loss: 1.8062 2022/07/29 16:41:28 - mmengine - INFO - Epoch(train) [121][3000/3757] lr: 2.5000e-03 eta: 1 day, 1:57:15 time: 0.4185 data_time: 0.0225 memory: 17006 grad_norm: 8.9904 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8470 loss: 1.8470 2022/07/29 16:41:36 - mmengine - INFO - Epoch(train) [121][3020/3757] lr: 2.5000e-03 eta: 1 day, 1:57:06 time: 0.4173 data_time: 0.0182 memory: 17006 grad_norm: 8.9258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4941 loss: 1.4941 2022/07/29 16:41:45 - mmengine - INFO - Epoch(train) [121][3040/3757] lr: 2.5000e-03 eta: 1 day, 1:56:58 time: 0.4224 data_time: 0.0240 memory: 17006 grad_norm: 9.1023 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5517 loss: 1.5517 2022/07/29 16:41:53 - mmengine - INFO - Epoch(train) [121][3060/3757] lr: 2.5000e-03 eta: 1 day, 1:56:49 time: 0.4147 data_time: 0.0175 memory: 17006 grad_norm: 8.9887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6215 loss: 1.6215 2022/07/29 16:42:01 - mmengine - INFO - Epoch(train) [121][3080/3757] lr: 2.5000e-03 eta: 1 day, 1:56:36 time: 0.4041 data_time: 0.0210 memory: 17006 grad_norm: 8.6516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8263 loss: 1.8263 2022/07/29 16:42:09 - mmengine - INFO - Epoch(train) [121][3100/3757] lr: 2.5000e-03 eta: 1 day, 1:56:26 time: 0.4123 data_time: 0.0193 memory: 17006 grad_norm: 9.3622 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5627 loss: 1.5627 2022/07/29 16:42:18 - mmengine - INFO - Epoch(train) [121][3120/3757] lr: 2.5000e-03 eta: 1 day, 1:56:14 time: 0.4040 data_time: 0.0209 memory: 17006 grad_norm: 9.0203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5144 loss: 1.5144 2022/07/29 16:42:27 - mmengine - INFO - Epoch(train) [121][3140/3757] lr: 2.5000e-03 eta: 1 day, 1:56:11 time: 0.4428 data_time: 0.0305 memory: 17006 grad_norm: 9.4375 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7009 loss: 1.7009 2022/07/29 16:42:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:42:35 - mmengine - INFO - Epoch(train) [121][3160/3757] lr: 2.5000e-03 eta: 1 day, 1:55:58 time: 0.4038 data_time: 0.0207 memory: 17006 grad_norm: 9.3211 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8409 loss: 1.8409 2022/07/29 16:42:43 - mmengine - INFO - Epoch(train) [121][3180/3757] lr: 2.5000e-03 eta: 1 day, 1:55:51 time: 0.4250 data_time: 0.0258 memory: 17006 grad_norm: 9.2900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7395 loss: 1.7395 2022/07/29 16:42:51 - mmengine - INFO - Epoch(train) [121][3200/3757] lr: 2.5000e-03 eta: 1 day, 1:55:39 time: 0.4036 data_time: 0.0215 memory: 17006 grad_norm: 8.7731 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5128 loss: 1.5128 2022/07/29 16:43:00 - mmengine - INFO - Epoch(train) [121][3220/3757] lr: 2.5000e-03 eta: 1 day, 1:55:29 time: 0.4133 data_time: 0.0183 memory: 17006 grad_norm: 8.9391 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5686 loss: 1.5686 2022/07/29 16:43:08 - mmengine - INFO - Epoch(train) [121][3240/3757] lr: 2.5000e-03 eta: 1 day, 1:55:24 time: 0.4348 data_time: 0.0239 memory: 17006 grad_norm: 8.7858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6808 loss: 1.6808 2022/07/29 16:43:17 - mmengine - INFO - Epoch(train) [121][3260/3757] lr: 2.5000e-03 eta: 1 day, 1:55:11 time: 0.4017 data_time: 0.0182 memory: 17006 grad_norm: 8.7548 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7179 loss: 1.7179 2022/07/29 16:43:25 - mmengine - INFO - Epoch(train) [121][3280/3757] lr: 2.5000e-03 eta: 1 day, 1:55:03 time: 0.4198 data_time: 0.0243 memory: 17006 grad_norm: 9.0358 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2721 loss: 1.2721 2022/07/29 16:43:33 - mmengine - INFO - Epoch(train) [121][3300/3757] lr: 2.5000e-03 eta: 1 day, 1:54:52 time: 0.4107 data_time: 0.0196 memory: 17006 grad_norm: 8.5799 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4323 loss: 1.4323 2022/07/29 16:43:41 - mmengine - INFO - Epoch(train) [121][3320/3757] lr: 2.5000e-03 eta: 1 day, 1:54:40 time: 0.4032 data_time: 0.0208 memory: 17006 grad_norm: 8.9748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7412 loss: 1.7412 2022/07/29 16:43:50 - mmengine - INFO - Epoch(train) [121][3340/3757] lr: 2.5000e-03 eta: 1 day, 1:54:31 time: 0.4210 data_time: 0.0190 memory: 17006 grad_norm: 8.8259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6154 loss: 1.6154 2022/07/29 16:43:58 - mmengine - INFO - Epoch(train) [121][3360/3757] lr: 2.5000e-03 eta: 1 day, 1:54:19 time: 0.4048 data_time: 0.0214 memory: 17006 grad_norm: 8.7315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4947 loss: 1.4947 2022/07/29 16:44:07 - mmengine - INFO - Epoch(train) [121][3380/3757] lr: 2.5000e-03 eta: 1 day, 1:54:15 time: 0.4357 data_time: 0.0203 memory: 17006 grad_norm: 9.0122 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9807 loss: 1.9807 2022/07/29 16:44:15 - mmengine - INFO - Epoch(train) [121][3400/3757] lr: 2.5000e-03 eta: 1 day, 1:54:02 time: 0.4039 data_time: 0.0218 memory: 17006 grad_norm: 9.0288 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6958 loss: 1.6958 2022/07/29 16:44:23 - mmengine - INFO - Epoch(train) [121][3420/3757] lr: 2.5000e-03 eta: 1 day, 1:53:58 time: 0.4344 data_time: 0.0215 memory: 17006 grad_norm: 9.0464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7487 loss: 1.7487 2022/07/29 16:44:31 - mmengine - INFO - Epoch(train) [121][3440/3757] lr: 2.5000e-03 eta: 1 day, 1:53:45 time: 0.4026 data_time: 0.0201 memory: 17006 grad_norm: 9.2899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4709 loss: 1.4709 2022/07/29 16:44:39 - mmengine - INFO - Epoch(train) [121][3460/3757] lr: 2.5000e-03 eta: 1 day, 1:53:33 time: 0.4041 data_time: 0.0184 memory: 17006 grad_norm: 9.1851 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7065 loss: 1.7065 2022/07/29 16:44:49 - mmengine - INFO - Epoch(train) [121][3480/3757] lr: 2.5000e-03 eta: 1 day, 1:53:33 time: 0.4561 data_time: 0.0221 memory: 17006 grad_norm: 9.0363 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5877 loss: 1.5877 2022/07/29 16:44:57 - mmengine - INFO - Epoch(train) [121][3500/3757] lr: 2.5000e-03 eta: 1 day, 1:53:21 time: 0.4052 data_time: 0.0183 memory: 17006 grad_norm: 9.2802 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7811 loss: 1.7811 2022/07/29 16:45:06 - mmengine - INFO - Epoch(train) [121][3520/3757] lr: 2.5000e-03 eta: 1 day, 1:53:20 time: 0.4506 data_time: 0.0233 memory: 17006 grad_norm: 9.0603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6170 loss: 1.6170 2022/07/29 16:45:14 - mmengine - INFO - Epoch(train) [121][3540/3757] lr: 2.5000e-03 eta: 1 day, 1:53:08 time: 0.4054 data_time: 0.0194 memory: 17006 grad_norm: 9.1053 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6780 loss: 1.6780 2022/07/29 16:45:22 - mmengine - INFO - Epoch(train) [121][3560/3757] lr: 2.5000e-03 eta: 1 day, 1:52:56 time: 0.4047 data_time: 0.0224 memory: 17006 grad_norm: 8.9925 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7028 loss: 1.7028 2022/07/29 16:45:31 - mmengine - INFO - Epoch(train) [121][3580/3757] lr: 2.5000e-03 eta: 1 day, 1:52:58 time: 0.4617 data_time: 0.0193 memory: 17006 grad_norm: 9.5711 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7453 loss: 1.7453 2022/07/29 16:45:39 - mmengine - INFO - Epoch(train) [121][3600/3757] lr: 2.5000e-03 eta: 1 day, 1:52:46 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 9.1909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7864 loss: 1.7864 2022/07/29 16:45:48 - mmengine - INFO - Epoch(train) [121][3620/3757] lr: 2.5000e-03 eta: 1 day, 1:52:41 time: 0.4338 data_time: 0.0198 memory: 17006 grad_norm: 9.2600 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6332 loss: 1.6332 2022/07/29 16:45:56 - mmengine - INFO - Epoch(train) [121][3640/3757] lr: 2.5000e-03 eta: 1 day, 1:52:30 time: 0.4074 data_time: 0.0228 memory: 17006 grad_norm: 8.8128 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8023 loss: 1.8023 2022/07/29 16:46:06 - mmengine - INFO - Epoch(train) [121][3660/3757] lr: 2.5000e-03 eta: 1 day, 1:52:31 time: 0.4585 data_time: 0.0219 memory: 17006 grad_norm: 9.2504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5512 loss: 1.5512 2022/07/29 16:46:14 - mmengine - INFO - Epoch(train) [121][3680/3757] lr: 2.5000e-03 eta: 1 day, 1:52:19 time: 0.4059 data_time: 0.0234 memory: 17006 grad_norm: 9.3068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7343 loss: 1.7343 2022/07/29 16:46:22 - mmengine - INFO - Epoch(train) [121][3700/3757] lr: 2.5000e-03 eta: 1 day, 1:52:06 time: 0.4029 data_time: 0.0184 memory: 17006 grad_norm: 8.8046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6413 loss: 1.6413 2022/07/29 16:46:30 - mmengine - INFO - Epoch(train) [121][3720/3757] lr: 2.5000e-03 eta: 1 day, 1:52:00 time: 0.4268 data_time: 0.0213 memory: 17006 grad_norm: 8.7586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6049 loss: 1.6049 2022/07/29 16:46:38 - mmengine - INFO - Epoch(train) [121][3740/3757] lr: 2.5000e-03 eta: 1 day, 1:51:48 time: 0.4057 data_time: 0.0195 memory: 17006 grad_norm: 8.8029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9060 loss: 1.9060 2022/07/29 16:46:46 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:46:46 - mmengine - INFO - Epoch(train) [121][3757/3757] lr: 2.5000e-03 eta: 1 day, 1:51:48 time: 0.4361 data_time: 0.0217 memory: 17006 grad_norm: 9.0705 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.9926 loss: 1.9926 2022/07/29 16:46:46 - mmengine - INFO - Saving checkpoint at 121 epochs 2022/07/29 16:46:59 - mmengine - INFO - Epoch(train) [122][20/3757] lr: 2.4248e-03 eta: 1 day, 1:50:16 time: 0.4525 data_time: 0.0648 memory: 17006 grad_norm: 9.0671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4222 loss: 1.4222 2022/07/29 16:47:08 - mmengine - INFO - Epoch(train) [122][40/3757] lr: 2.4248e-03 eta: 1 day, 1:50:07 time: 0.4198 data_time: 0.0216 memory: 17006 grad_norm: 9.3112 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/07/29 16:47:16 - mmengine - INFO - Epoch(train) [122][60/3757] lr: 2.4248e-03 eta: 1 day, 1:49:57 time: 0.4096 data_time: 0.0233 memory: 17006 grad_norm: 8.9397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6838 loss: 1.6838 2022/07/29 16:47:24 - mmengine - INFO - Epoch(train) [122][80/3757] lr: 2.4248e-03 eta: 1 day, 1:49:47 time: 0.4154 data_time: 0.0213 memory: 17006 grad_norm: 9.1104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6568 loss: 1.6568 2022/07/29 16:47:32 - mmengine - INFO - Epoch(train) [122][100/3757] lr: 2.4248e-03 eta: 1 day, 1:49:35 time: 0.4034 data_time: 0.0208 memory: 17006 grad_norm: 8.6106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5940 loss: 1.5940 2022/07/29 16:47:41 - mmengine - INFO - Epoch(train) [122][120/3757] lr: 2.4248e-03 eta: 1 day, 1:49:25 time: 0.4121 data_time: 0.0215 memory: 17006 grad_norm: 8.5478 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6419 loss: 1.6419 2022/07/29 16:47:49 - mmengine - INFO - Epoch(train) [122][140/3757] lr: 2.4248e-03 eta: 1 day, 1:49:15 time: 0.4148 data_time: 0.0198 memory: 17006 grad_norm: 9.0441 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4405 loss: 1.4405 2022/07/29 16:47:58 - mmengine - INFO - Epoch(train) [122][160/3757] lr: 2.4248e-03 eta: 1 day, 1:49:13 time: 0.4435 data_time: 0.0225 memory: 17006 grad_norm: 9.2071 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5919 loss: 1.5919 2022/07/29 16:48:06 - mmengine - INFO - Epoch(train) [122][180/3757] lr: 2.4248e-03 eta: 1 day, 1:49:04 time: 0.4168 data_time: 0.0210 memory: 17006 grad_norm: 8.8396 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7641 loss: 1.7641 2022/07/29 16:48:14 - mmengine - INFO - Epoch(train) [122][200/3757] lr: 2.4248e-03 eta: 1 day, 1:48:52 time: 0.4065 data_time: 0.0224 memory: 17006 grad_norm: 9.1269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/07/29 16:48:22 - mmengine - INFO - Epoch(train) [122][220/3757] lr: 2.4248e-03 eta: 1 day, 1:48:40 time: 0.4041 data_time: 0.0203 memory: 17006 grad_norm: 9.0160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5633 loss: 1.5633 2022/07/29 16:48:31 - mmengine - INFO - Epoch(train) [122][240/3757] lr: 2.4248e-03 eta: 1 day, 1:48:30 time: 0.4131 data_time: 0.0215 memory: 17006 grad_norm: 8.9205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7115 loss: 1.7115 2022/07/29 16:48:39 - mmengine - INFO - Epoch(train) [122][260/3757] lr: 2.4248e-03 eta: 1 day, 1:48:24 time: 0.4307 data_time: 0.0223 memory: 17006 grad_norm: 8.9824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6676 loss: 1.6676 2022/07/29 16:48:48 - mmengine - INFO - Epoch(train) [122][280/3757] lr: 2.4248e-03 eta: 1 day, 1:48:17 time: 0.4223 data_time: 0.0278 memory: 17006 grad_norm: 9.0974 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6815 loss: 1.6815 2022/07/29 16:48:56 - mmengine - INFO - Epoch(train) [122][300/3757] lr: 2.4248e-03 eta: 1 day, 1:48:05 time: 0.4052 data_time: 0.0198 memory: 17006 grad_norm: 8.7885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3864 loss: 1.3864 2022/07/29 16:49:04 - mmengine - INFO - Epoch(train) [122][320/3757] lr: 2.4248e-03 eta: 1 day, 1:47:54 time: 0.4092 data_time: 0.0210 memory: 17006 grad_norm: 9.1596 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8636 loss: 1.8636 2022/07/29 16:49:12 - mmengine - INFO - Epoch(train) [122][340/3757] lr: 2.4248e-03 eta: 1 day, 1:47:42 time: 0.4024 data_time: 0.0200 memory: 17006 grad_norm: 8.9367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4861 loss: 1.4861 2022/07/29 16:49:21 - mmengine - INFO - Epoch(train) [122][360/3757] lr: 2.4248e-03 eta: 1 day, 1:47:33 time: 0.4177 data_time: 0.0204 memory: 17006 grad_norm: 8.7077 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5924 loss: 1.5924 2022/07/29 16:49:29 - mmengine - INFO - Epoch(train) [122][380/3757] lr: 2.4248e-03 eta: 1 day, 1:47:23 time: 0.4145 data_time: 0.0209 memory: 17006 grad_norm: 9.1538 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5336 loss: 1.5336 2022/07/29 16:49:38 - mmengine - INFO - Epoch(train) [122][400/3757] lr: 2.4248e-03 eta: 1 day, 1:47:17 time: 0.4285 data_time: 0.0224 memory: 17006 grad_norm: 9.3833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2344 loss: 1.2344 2022/07/29 16:49:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:49:46 - mmengine - INFO - Epoch(train) [122][420/3757] lr: 2.4248e-03 eta: 1 day, 1:47:07 time: 0.4123 data_time: 0.0205 memory: 17006 grad_norm: 8.7975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4821 loss: 1.4821 2022/07/29 16:49:54 - mmengine - INFO - Epoch(train) [122][440/3757] lr: 2.4248e-03 eta: 1 day, 1:46:55 time: 0.4052 data_time: 0.0230 memory: 17006 grad_norm: 8.8285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7667 loss: 1.7667 2022/07/29 16:50:02 - mmengine - INFO - Epoch(train) [122][460/3757] lr: 2.4248e-03 eta: 1 day, 1:46:43 time: 0.4043 data_time: 0.0207 memory: 17006 grad_norm: 9.0947 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6807 loss: 1.6807 2022/07/29 16:50:11 - mmengine - INFO - Epoch(train) [122][480/3757] lr: 2.4248e-03 eta: 1 day, 1:46:37 time: 0.4277 data_time: 0.0210 memory: 17006 grad_norm: 8.9026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4799 loss: 1.4799 2022/07/29 16:50:19 - mmengine - INFO - Epoch(train) [122][500/3757] lr: 2.4248e-03 eta: 1 day, 1:46:26 time: 0.4079 data_time: 0.0230 memory: 17006 grad_norm: 8.8130 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8459 loss: 1.8459 2022/07/29 16:50:27 - mmengine - INFO - Epoch(train) [122][520/3757] lr: 2.4248e-03 eta: 1 day, 1:46:19 time: 0.4259 data_time: 0.0215 memory: 17006 grad_norm: 9.4797 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8324 loss: 1.8324 2022/07/29 16:50:35 - mmengine - INFO - Epoch(train) [122][540/3757] lr: 2.4248e-03 eta: 1 day, 1:46:07 time: 0.4037 data_time: 0.0206 memory: 17006 grad_norm: 8.9832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7919 loss: 1.7919 2022/07/29 16:50:44 - mmengine - INFO - Epoch(train) [122][560/3757] lr: 2.4248e-03 eta: 1 day, 1:45:58 time: 0.4185 data_time: 0.0225 memory: 17006 grad_norm: 9.5311 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9072 loss: 1.9072 2022/07/29 16:50:52 - mmengine - INFO - Epoch(train) [122][580/3757] lr: 2.4248e-03 eta: 1 day, 1:45:46 time: 0.4030 data_time: 0.0205 memory: 17006 grad_norm: 8.9988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8375 loss: 1.8375 2022/07/29 16:51:00 - mmengine - INFO - Epoch(train) [122][600/3757] lr: 2.4248e-03 eta: 1 day, 1:45:34 time: 0.4051 data_time: 0.0207 memory: 17006 grad_norm: 9.4219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6728 loss: 1.6728 2022/07/29 16:51:08 - mmengine - INFO - Epoch(train) [122][620/3757] lr: 2.4248e-03 eta: 1 day, 1:45:24 time: 0.4093 data_time: 0.0221 memory: 17006 grad_norm: 8.9973 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7225 loss: 1.7225 2022/07/29 16:51:16 - mmengine - INFO - Epoch(train) [122][640/3757] lr: 2.4248e-03 eta: 1 day, 1:45:12 time: 0.4064 data_time: 0.0210 memory: 17006 grad_norm: 9.2647 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7474 loss: 1.7474 2022/07/29 16:51:25 - mmengine - INFO - Epoch(train) [122][660/3757] lr: 2.4248e-03 eta: 1 day, 1:45:03 time: 0.4166 data_time: 0.0218 memory: 17006 grad_norm: 9.4971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5821 loss: 1.5821 2022/07/29 16:51:33 - mmengine - INFO - Epoch(train) [122][680/3757] lr: 2.4248e-03 eta: 1 day, 1:44:51 time: 0.4025 data_time: 0.0204 memory: 17006 grad_norm: 9.0268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5337 loss: 1.5337 2022/07/29 16:51:41 - mmengine - INFO - Epoch(train) [122][700/3757] lr: 2.4248e-03 eta: 1 day, 1:44:39 time: 0.4031 data_time: 0.0203 memory: 17006 grad_norm: 9.1853 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4561 loss: 1.4561 2022/07/29 16:51:50 - mmengine - INFO - Epoch(train) [122][720/3757] lr: 2.4248e-03 eta: 1 day, 1:44:34 time: 0.4341 data_time: 0.0219 memory: 17006 grad_norm: 8.7440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4012 loss: 1.4012 2022/07/29 16:51:58 - mmengine - INFO - Epoch(train) [122][740/3757] lr: 2.4248e-03 eta: 1 day, 1:44:22 time: 0.4037 data_time: 0.0209 memory: 17006 grad_norm: 9.3712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4825 loss: 1.4825 2022/07/29 16:52:07 - mmengine - INFO - Epoch(train) [122][760/3757] lr: 2.4248e-03 eta: 1 day, 1:44:26 time: 0.4740 data_time: 0.0213 memory: 17006 grad_norm: 9.1287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4897 loss: 1.4897 2022/07/29 16:52:15 - mmengine - INFO - Epoch(train) [122][780/3757] lr: 2.4248e-03 eta: 1 day, 1:44:14 time: 0.4069 data_time: 0.0227 memory: 17006 grad_norm: 9.2347 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/07/29 16:52:24 - mmengine - INFO - Epoch(train) [122][800/3757] lr: 2.4248e-03 eta: 1 day, 1:44:13 time: 0.4520 data_time: 0.0228 memory: 17006 grad_norm: 9.2311 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1271 loss: 2.1271 2022/07/29 16:52:33 - mmengine - INFO - Epoch(train) [122][820/3757] lr: 2.4248e-03 eta: 1 day, 1:44:01 time: 0.4030 data_time: 0.0208 memory: 17006 grad_norm: 9.1624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/07/29 16:52:41 - mmengine - INFO - Epoch(train) [122][840/3757] lr: 2.4248e-03 eta: 1 day, 1:43:50 time: 0.4079 data_time: 0.0216 memory: 17006 grad_norm: 9.3520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/07/29 16:52:50 - mmengine - INFO - Epoch(train) [122][860/3757] lr: 2.4248e-03 eta: 1 day, 1:43:48 time: 0.4471 data_time: 0.0221 memory: 17006 grad_norm: 8.8425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3177 loss: 1.3177 2022/07/29 16:52:58 - mmengine - INFO - Epoch(train) [122][880/3757] lr: 2.4248e-03 eta: 1 day, 1:43:36 time: 0.4045 data_time: 0.0215 memory: 17006 grad_norm: 9.0243 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7052 loss: 1.7052 2022/07/29 16:53:06 - mmengine - INFO - Epoch(train) [122][900/3757] lr: 2.4248e-03 eta: 1 day, 1:43:27 time: 0.4162 data_time: 0.0211 memory: 17006 grad_norm: 9.3579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4644 loss: 1.4644 2022/07/29 16:53:14 - mmengine - INFO - Epoch(train) [122][920/3757] lr: 2.4248e-03 eta: 1 day, 1:43:16 time: 0.4053 data_time: 0.0217 memory: 17006 grad_norm: 9.2959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6586 loss: 1.6586 2022/07/29 16:53:22 - mmengine - INFO - Epoch(train) [122][940/3757] lr: 2.4248e-03 eta: 1 day, 1:43:03 time: 0.4024 data_time: 0.0199 memory: 17006 grad_norm: 9.3712 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6939 loss: 1.6939 2022/07/29 16:53:32 - mmengine - INFO - Epoch(train) [122][960/3757] lr: 2.4248e-03 eta: 1 day, 1:43:07 time: 0.4747 data_time: 0.0220 memory: 17006 grad_norm: 8.9426 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6722 loss: 1.6722 2022/07/29 16:53:40 - mmengine - INFO - Epoch(train) [122][980/3757] lr: 2.4248e-03 eta: 1 day, 1:42:57 time: 0.4104 data_time: 0.0219 memory: 17006 grad_norm: 9.0946 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0429 loss: 2.0429 2022/07/29 16:53:49 - mmengine - INFO - Epoch(train) [122][1000/3757] lr: 2.4248e-03 eta: 1 day, 1:42:51 time: 0.4319 data_time: 0.0214 memory: 17006 grad_norm: 9.2588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6360 loss: 1.6360 2022/07/29 16:53:57 - mmengine - INFO - Epoch(train) [122][1020/3757] lr: 2.4248e-03 eta: 1 day, 1:42:40 time: 0.4047 data_time: 0.0206 memory: 17006 grad_norm: 9.7180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6333 loss: 1.6333 2022/07/29 16:54:05 - mmengine - INFO - Epoch(train) [122][1040/3757] lr: 2.4248e-03 eta: 1 day, 1:42:31 time: 0.4169 data_time: 0.0214 memory: 17006 grad_norm: 9.2345 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7027 loss: 1.7027 2022/07/29 16:54:13 - mmengine - INFO - Epoch(train) [122][1060/3757] lr: 2.4248e-03 eta: 1 day, 1:42:19 time: 0.4041 data_time: 0.0209 memory: 17006 grad_norm: 8.9440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8610 loss: 1.8610 2022/07/29 16:54:22 - mmengine - INFO - Epoch(train) [122][1080/3757] lr: 2.4248e-03 eta: 1 day, 1:42:13 time: 0.4317 data_time: 0.0185 memory: 17006 grad_norm: 8.9164 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6738 loss: 1.6738 2022/07/29 16:54:30 - mmengine - INFO - Epoch(train) [122][1100/3757] lr: 2.4248e-03 eta: 1 day, 1:42:05 time: 0.4202 data_time: 0.0221 memory: 17006 grad_norm: 9.0842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6315 loss: 1.6315 2022/07/29 16:54:39 - mmengine - INFO - Epoch(train) [122][1120/3757] lr: 2.4248e-03 eta: 1 day, 1:41:54 time: 0.4080 data_time: 0.0204 memory: 17006 grad_norm: 9.2173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5737 loss: 1.5737 2022/07/29 16:54:47 - mmengine - INFO - Epoch(train) [122][1140/3757] lr: 2.4248e-03 eta: 1 day, 1:41:45 time: 0.4179 data_time: 0.0213 memory: 17006 grad_norm: 9.2484 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5584 loss: 1.5584 2022/07/29 16:54:55 - mmengine - INFO - Epoch(train) [122][1160/3757] lr: 2.4248e-03 eta: 1 day, 1:41:34 time: 0.4045 data_time: 0.0210 memory: 17006 grad_norm: 9.2816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7114 loss: 1.7114 2022/07/29 16:55:03 - mmengine - INFO - Epoch(train) [122][1180/3757] lr: 2.4248e-03 eta: 1 day, 1:41:22 time: 0.4029 data_time: 0.0199 memory: 17006 grad_norm: 8.9510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6934 loss: 1.6934 2022/07/29 16:55:11 - mmengine - INFO - Epoch(train) [122][1200/3757] lr: 2.4248e-03 eta: 1 day, 1:41:10 time: 0.4044 data_time: 0.0196 memory: 17006 grad_norm: 8.8962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5143 loss: 1.5143 2022/07/29 16:55:20 - mmengine - INFO - Epoch(train) [122][1220/3757] lr: 2.4248e-03 eta: 1 day, 1:41:01 time: 0.4196 data_time: 0.0235 memory: 17006 grad_norm: 8.9891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4488 loss: 1.4488 2022/07/29 16:55:28 - mmengine - INFO - Epoch(train) [122][1240/3757] lr: 2.4248e-03 eta: 1 day, 1:40:50 time: 0.4057 data_time: 0.0210 memory: 17006 grad_norm: 9.2724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/07/29 16:55:37 - mmengine - INFO - Epoch(train) [122][1260/3757] lr: 2.4248e-03 eta: 1 day, 1:40:51 time: 0.4617 data_time: 0.0215 memory: 17006 grad_norm: 9.1343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6214 loss: 1.6214 2022/07/29 16:55:45 - mmengine - INFO - Epoch(train) [122][1280/3757] lr: 2.4248e-03 eta: 1 day, 1:40:41 time: 0.4137 data_time: 0.0223 memory: 17006 grad_norm: 8.7367 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7367 loss: 1.7367 2022/07/29 16:55:53 - mmengine - INFO - Epoch(train) [122][1300/3757] lr: 2.4248e-03 eta: 1 day, 1:40:30 time: 0.4058 data_time: 0.0209 memory: 17006 grad_norm: 9.0454 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3809 loss: 1.3809 2022/07/29 16:56:02 - mmengine - INFO - Epoch(train) [122][1320/3757] lr: 2.4248e-03 eta: 1 day, 1:40:22 time: 0.4239 data_time: 0.0185 memory: 17006 grad_norm: 9.0682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5206 loss: 1.5206 2022/07/29 16:56:11 - mmengine - INFO - Epoch(train) [122][1340/3757] lr: 2.4248e-03 eta: 1 day, 1:40:17 time: 0.4320 data_time: 0.0215 memory: 17006 grad_norm: 9.0293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6880 loss: 1.6880 2022/07/29 16:56:19 - mmengine - INFO - Epoch(train) [122][1360/3757] lr: 2.4248e-03 eta: 1 day, 1:40:08 time: 0.4191 data_time: 0.0203 memory: 17006 grad_norm: 9.0430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5824 loss: 1.5824 2022/07/29 16:56:27 - mmengine - INFO - Epoch(train) [122][1380/3757] lr: 2.4248e-03 eta: 1 day, 1:39:57 time: 0.4071 data_time: 0.0211 memory: 17006 grad_norm: 9.4546 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5849 loss: 1.5849 2022/07/29 16:56:36 - mmengine - INFO - Epoch(train) [122][1400/3757] lr: 2.4248e-03 eta: 1 day, 1:39:50 time: 0.4254 data_time: 0.0213 memory: 17006 grad_norm: 9.1568 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6641 loss: 1.6641 2022/07/29 16:56:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 16:56:44 - mmengine - INFO - Epoch(train) [122][1420/3757] lr: 2.4248e-03 eta: 1 day, 1:39:39 time: 0.4045 data_time: 0.0183 memory: 17006 grad_norm: 8.8968 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5940 loss: 1.5940 2022/07/29 16:56:52 - mmengine - INFO - Epoch(train) [122][1440/3757] lr: 2.4248e-03 eta: 1 day, 1:39:27 time: 0.4035 data_time: 0.0189 memory: 17006 grad_norm: 9.1042 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6549 loss: 1.6549 2022/07/29 16:57:01 - mmengine - INFO - Epoch(train) [122][1460/3757] lr: 2.4248e-03 eta: 1 day, 1:39:26 time: 0.4568 data_time: 0.0214 memory: 17006 grad_norm: 9.1365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7565 loss: 1.7565 2022/07/29 16:57:09 - mmengine - INFO - Epoch(train) [122][1480/3757] lr: 2.4248e-03 eta: 1 day, 1:39:17 time: 0.4158 data_time: 0.0211 memory: 17006 grad_norm: 9.2263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5439 loss: 1.5439 2022/07/29 16:57:18 - mmengine - INFO - Epoch(train) [122][1500/3757] lr: 2.4248e-03 eta: 1 day, 1:39:15 time: 0.4471 data_time: 0.0208 memory: 17006 grad_norm: 9.1704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5249 loss: 1.5249 2022/07/29 16:57:27 - mmengine - INFO - Epoch(train) [122][1520/3757] lr: 2.4248e-03 eta: 1 day, 1:39:04 time: 0.4065 data_time: 0.0206 memory: 17006 grad_norm: 9.0335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3050 loss: 1.3050 2022/07/29 16:57:35 - mmengine - INFO - Epoch(train) [122][1540/3757] lr: 2.4248e-03 eta: 1 day, 1:38:57 time: 0.4278 data_time: 0.0231 memory: 17006 grad_norm: 8.8809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5594 loss: 1.5594 2022/07/29 16:57:43 - mmengine - INFO - Epoch(train) [122][1560/3757] lr: 2.4248e-03 eta: 1 day, 1:38:45 time: 0.4026 data_time: 0.0198 memory: 17006 grad_norm: 9.0653 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6446 loss: 1.6446 2022/07/29 16:57:52 - mmengine - INFO - Epoch(train) [122][1580/3757] lr: 2.4248e-03 eta: 1 day, 1:38:40 time: 0.4371 data_time: 0.0192 memory: 17006 grad_norm: 9.0500 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3337 loss: 1.3337 2022/07/29 16:58:00 - mmengine - INFO - Epoch(train) [122][1600/3757] lr: 2.4248e-03 eta: 1 day, 1:38:30 time: 0.4105 data_time: 0.0217 memory: 17006 grad_norm: 9.2003 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4466 loss: 1.4466 2022/07/29 16:58:08 - mmengine - INFO - Epoch(train) [122][1620/3757] lr: 2.4248e-03 eta: 1 day, 1:38:19 time: 0.4063 data_time: 0.0213 memory: 17006 grad_norm: 9.0056 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4517 loss: 1.4517 2022/07/29 16:58:17 - mmengine - INFO - Epoch(train) [122][1640/3757] lr: 2.4248e-03 eta: 1 day, 1:38:09 time: 0.4106 data_time: 0.0213 memory: 17006 grad_norm: 9.0608 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4140 loss: 1.4140 2022/07/29 16:58:26 - mmengine - INFO - Epoch(train) [122][1660/3757] lr: 2.4248e-03 eta: 1 day, 1:38:09 time: 0.4618 data_time: 0.0222 memory: 17006 grad_norm: 9.0756 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3327 loss: 1.3327 2022/07/29 16:58:34 - mmengine - INFO - Epoch(train) [122][1680/3757] lr: 2.4248e-03 eta: 1 day, 1:37:59 time: 0.4115 data_time: 0.0204 memory: 17006 grad_norm: 8.8308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4541 loss: 1.4541 2022/07/29 16:58:42 - mmengine - INFO - Epoch(train) [122][1700/3757] lr: 2.4248e-03 eta: 1 day, 1:37:47 time: 0.4030 data_time: 0.0201 memory: 17006 grad_norm: 9.4222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7066 loss: 1.7066 2022/07/29 16:58:50 - mmengine - INFO - Epoch(train) [122][1720/3757] lr: 2.4248e-03 eta: 1 day, 1:37:37 time: 0.4129 data_time: 0.0218 memory: 17006 grad_norm: 9.2461 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8851 loss: 1.8851 2022/07/29 16:58:59 - mmengine - INFO - Epoch(train) [122][1740/3757] lr: 2.4248e-03 eta: 1 day, 1:37:27 time: 0.4097 data_time: 0.0211 memory: 17006 grad_norm: 9.5692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5910 loss: 1.5910 2022/07/29 16:59:07 - mmengine - INFO - Epoch(train) [122][1760/3757] lr: 2.4248e-03 eta: 1 day, 1:37:18 time: 0.4177 data_time: 0.0209 memory: 17006 grad_norm: 8.9732 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5246 loss: 1.5246 2022/07/29 16:59:15 - mmengine - INFO - Epoch(train) [122][1780/3757] lr: 2.4248e-03 eta: 1 day, 1:37:07 time: 0.4077 data_time: 0.0220 memory: 17006 grad_norm: 8.8510 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5300 loss: 1.5300 2022/07/29 16:59:23 - mmengine - INFO - Epoch(train) [122][1800/3757] lr: 2.4248e-03 eta: 1 day, 1:36:55 time: 0.4013 data_time: 0.0185 memory: 17006 grad_norm: 9.3195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3895 loss: 1.3895 2022/07/29 16:59:32 - mmengine - INFO - Epoch(train) [122][1820/3757] lr: 2.4248e-03 eta: 1 day, 1:36:53 time: 0.4504 data_time: 0.0202 memory: 17006 grad_norm: 9.0067 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8121 loss: 1.8121 2022/07/29 16:59:40 - mmengine - INFO - Epoch(train) [122][1840/3757] lr: 2.4248e-03 eta: 1 day, 1:36:42 time: 0.4061 data_time: 0.0214 memory: 17006 grad_norm: 8.8783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6244 loss: 1.6244 2022/07/29 16:59:49 - mmengine - INFO - Epoch(train) [122][1860/3757] lr: 2.4248e-03 eta: 1 day, 1:36:37 time: 0.4371 data_time: 0.0224 memory: 17006 grad_norm: 8.7422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6050 loss: 1.6050 2022/07/29 16:59:57 - mmengine - INFO - Epoch(train) [122][1880/3757] lr: 2.4248e-03 eta: 1 day, 1:36:26 time: 0.4050 data_time: 0.0201 memory: 17006 grad_norm: 9.4222 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9446 loss: 1.9446 2022/07/29 17:00:06 - mmengine - INFO - Epoch(train) [122][1900/3757] lr: 2.4248e-03 eta: 1 day, 1:36:18 time: 0.4225 data_time: 0.0213 memory: 17006 grad_norm: 9.2194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6401 loss: 1.6401 2022/07/29 17:00:14 - mmengine - INFO - Epoch(train) [122][1920/3757] lr: 2.4248e-03 eta: 1 day, 1:36:06 time: 0.4038 data_time: 0.0208 memory: 17006 grad_norm: 9.4869 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7598 loss: 1.7598 2022/07/29 17:00:22 - mmengine - INFO - Epoch(train) [122][1940/3757] lr: 2.4248e-03 eta: 1 day, 1:35:54 time: 0.4017 data_time: 0.0191 memory: 17006 grad_norm: 9.4497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8893 loss: 1.8893 2022/07/29 17:00:31 - mmengine - INFO - Epoch(train) [122][1960/3757] lr: 2.4248e-03 eta: 1 day, 1:35:54 time: 0.4583 data_time: 0.0222 memory: 17006 grad_norm: 9.3278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5738 loss: 1.5738 2022/07/29 17:00:39 - mmengine - INFO - Epoch(train) [122][1980/3757] lr: 2.4248e-03 eta: 1 day, 1:35:43 time: 0.4067 data_time: 0.0229 memory: 17006 grad_norm: 9.2363 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4505 loss: 1.4505 2022/07/29 17:00:48 - mmengine - INFO - Epoch(train) [122][2000/3757] lr: 2.4248e-03 eta: 1 day, 1:35:41 time: 0.4471 data_time: 0.0204 memory: 17006 grad_norm: 9.0598 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5754 loss: 1.5754 2022/07/29 17:00:56 - mmengine - INFO - Epoch(train) [122][2020/3757] lr: 2.4248e-03 eta: 1 day, 1:35:29 time: 0.4043 data_time: 0.0215 memory: 17006 grad_norm: 9.2677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5667 loss: 1.5667 2022/07/29 17:01:05 - mmengine - INFO - Epoch(train) [122][2040/3757] lr: 2.4248e-03 eta: 1 day, 1:35:19 time: 0.4108 data_time: 0.0211 memory: 17006 grad_norm: 8.9657 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6774 loss: 1.6774 2022/07/29 17:01:13 - mmengine - INFO - Epoch(train) [122][2060/3757] lr: 2.4248e-03 eta: 1 day, 1:35:07 time: 0.4035 data_time: 0.0207 memory: 17006 grad_norm: 8.9407 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5803 loss: 1.5803 2022/07/29 17:01:21 - mmengine - INFO - Epoch(train) [122][2080/3757] lr: 2.4248e-03 eta: 1 day, 1:34:56 time: 0.4088 data_time: 0.0220 memory: 17006 grad_norm: 9.0596 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6167 loss: 1.6167 2022/07/29 17:01:29 - mmengine - INFO - Epoch(train) [122][2100/3757] lr: 2.4248e-03 eta: 1 day, 1:34:49 time: 0.4255 data_time: 0.0208 memory: 17006 grad_norm: 9.2300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8331 loss: 1.8331 2022/07/29 17:01:38 - mmengine - INFO - Epoch(train) [122][2120/3757] lr: 2.4248e-03 eta: 1 day, 1:34:39 time: 0.4100 data_time: 0.0218 memory: 17006 grad_norm: 8.8414 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5544 loss: 1.5544 2022/07/29 17:01:46 - mmengine - INFO - Epoch(train) [122][2140/3757] lr: 2.4248e-03 eta: 1 day, 1:34:29 time: 0.4135 data_time: 0.0208 memory: 17006 grad_norm: 9.0424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5692 loss: 1.5692 2022/07/29 17:01:54 - mmengine - INFO - Epoch(train) [122][2160/3757] lr: 2.4248e-03 eta: 1 day, 1:34:18 time: 0.4050 data_time: 0.0206 memory: 17006 grad_norm: 9.2180 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6234 loss: 1.6234 2022/07/29 17:02:02 - mmengine - INFO - Epoch(train) [122][2180/3757] lr: 2.4248e-03 eta: 1 day, 1:34:07 time: 0.4062 data_time: 0.0191 memory: 17006 grad_norm: 9.3019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7342 loss: 1.7342 2022/07/29 17:02:11 - mmengine - INFO - Epoch(train) [122][2200/3757] lr: 2.4248e-03 eta: 1 day, 1:34:00 time: 0.4292 data_time: 0.0215 memory: 17006 grad_norm: 9.1775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5721 loss: 1.5721 2022/07/29 17:02:19 - mmengine - INFO - Epoch(train) [122][2220/3757] lr: 2.4248e-03 eta: 1 day, 1:33:54 time: 0.4302 data_time: 0.0197 memory: 17006 grad_norm: 9.2083 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6921 loss: 1.6921 2022/07/29 17:02:28 - mmengine - INFO - Epoch(train) [122][2240/3757] lr: 2.4248e-03 eta: 1 day, 1:33:49 time: 0.4365 data_time: 0.0218 memory: 17006 grad_norm: 8.9280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6515 loss: 1.6515 2022/07/29 17:02:36 - mmengine - INFO - Epoch(train) [122][2260/3757] lr: 2.4248e-03 eta: 1 day, 1:33:39 time: 0.4081 data_time: 0.0227 memory: 17006 grad_norm: 9.1412 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4123 loss: 1.4123 2022/07/29 17:02:45 - mmengine - INFO - Epoch(train) [122][2280/3757] lr: 2.4248e-03 eta: 1 day, 1:33:30 time: 0.4179 data_time: 0.0208 memory: 17006 grad_norm: 9.2864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6294 loss: 1.6294 2022/07/29 17:02:53 - mmengine - INFO - Epoch(train) [122][2300/3757] lr: 2.4248e-03 eta: 1 day, 1:33:18 time: 0.4033 data_time: 0.0205 memory: 17006 grad_norm: 8.9004 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5993 loss: 1.5993 2022/07/29 17:03:01 - mmengine - INFO - Epoch(train) [122][2320/3757] lr: 2.4248e-03 eta: 1 day, 1:33:12 time: 0.4299 data_time: 0.0217 memory: 17006 grad_norm: 9.2756 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7146 loss: 1.7146 2022/07/29 17:03:10 - mmengine - INFO - Epoch(train) [122][2340/3757] lr: 2.4248e-03 eta: 1 day, 1:33:02 time: 0.4135 data_time: 0.0216 memory: 17006 grad_norm: 9.3584 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4594 loss: 1.4594 2022/07/29 17:03:18 - mmengine - INFO - Epoch(train) [122][2360/3757] lr: 2.4248e-03 eta: 1 day, 1:32:52 time: 0.4089 data_time: 0.0210 memory: 17006 grad_norm: 9.1674 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7464 loss: 1.7464 2022/07/29 17:03:26 - mmengine - INFO - Epoch(train) [122][2380/3757] lr: 2.4248e-03 eta: 1 day, 1:32:42 time: 0.4137 data_time: 0.0252 memory: 17006 grad_norm: 9.2826 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7719 loss: 1.7719 2022/07/29 17:03:35 - mmengine - INFO - Epoch(train) [122][2400/3757] lr: 2.4248e-03 eta: 1 day, 1:32:33 time: 0.4152 data_time: 0.0199 memory: 17006 grad_norm: 9.0895 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8783 loss: 1.8783 2022/07/29 17:03:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:03:43 - mmengine - INFO - Epoch(train) [122][2420/3757] lr: 2.4248e-03 eta: 1 day, 1:32:21 time: 0.4034 data_time: 0.0197 memory: 17006 grad_norm: 9.5703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7866 loss: 1.7866 2022/07/29 17:03:51 - mmengine - INFO - Epoch(train) [122][2440/3757] lr: 2.4248e-03 eta: 1 day, 1:32:11 time: 0.4087 data_time: 0.0199 memory: 17006 grad_norm: 9.2726 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6533 loss: 1.6533 2022/07/29 17:04:00 - mmengine - INFO - Epoch(train) [122][2460/3757] lr: 2.4248e-03 eta: 1 day, 1:32:07 time: 0.4412 data_time: 0.0225 memory: 17006 grad_norm: 9.2268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5543 loss: 1.5543 2022/07/29 17:04:08 - mmengine - INFO - Epoch(train) [122][2480/3757] lr: 2.4248e-03 eta: 1 day, 1:31:58 time: 0.4160 data_time: 0.0207 memory: 17006 grad_norm: 9.2553 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4837 loss: 1.4837 2022/07/29 17:04:17 - mmengine - INFO - Epoch(train) [122][2500/3757] lr: 2.4248e-03 eta: 1 day, 1:31:55 time: 0.4465 data_time: 0.0216 memory: 17006 grad_norm: 9.3652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6659 loss: 1.6659 2022/07/29 17:04:25 - mmengine - INFO - Epoch(train) [122][2520/3757] lr: 2.4248e-03 eta: 1 day, 1:31:46 time: 0.4152 data_time: 0.0219 memory: 17006 grad_norm: 9.0323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4315 loss: 1.4315 2022/07/29 17:04:33 - mmengine - INFO - Epoch(train) [122][2540/3757] lr: 2.4248e-03 eta: 1 day, 1:31:34 time: 0.4039 data_time: 0.0199 memory: 17006 grad_norm: 9.1899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9550 loss: 1.9550 2022/07/29 17:04:42 - mmengine - INFO - Epoch(train) [122][2560/3757] lr: 2.4248e-03 eta: 1 day, 1:31:25 time: 0.4173 data_time: 0.0218 memory: 17006 grad_norm: 8.9978 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6678 loss: 1.6678 2022/07/29 17:04:50 - mmengine - INFO - Epoch(train) [122][2580/3757] lr: 2.4248e-03 eta: 1 day, 1:31:15 time: 0.4103 data_time: 0.0212 memory: 17006 grad_norm: 9.1290 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5278 loss: 1.5278 2022/07/29 17:04:59 - mmengine - INFO - Epoch(train) [122][2600/3757] lr: 2.4248e-03 eta: 1 day, 1:31:10 time: 0.4333 data_time: 0.0219 memory: 17006 grad_norm: 9.1425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7962 loss: 1.7962 2022/07/29 17:05:07 - mmengine - INFO - Epoch(train) [122][2620/3757] lr: 2.4248e-03 eta: 1 day, 1:30:59 time: 0.4095 data_time: 0.0205 memory: 17006 grad_norm: 9.2722 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6024 loss: 1.6024 2022/07/29 17:05:15 - mmengine - INFO - Epoch(train) [122][2640/3757] lr: 2.4248e-03 eta: 1 day, 1:30:48 time: 0.4072 data_time: 0.0216 memory: 17006 grad_norm: 9.4473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0622 loss: 2.0622 2022/07/29 17:05:23 - mmengine - INFO - Epoch(train) [122][2660/3757] lr: 2.4248e-03 eta: 1 day, 1:30:37 time: 0.4040 data_time: 0.0199 memory: 17006 grad_norm: 8.7010 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4001 loss: 1.4001 2022/07/29 17:05:31 - mmengine - INFO - Epoch(train) [122][2680/3757] lr: 2.4248e-03 eta: 1 day, 1:30:26 time: 0.4096 data_time: 0.0219 memory: 17006 grad_norm: 8.9565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6015 loss: 1.6015 2022/07/29 17:05:40 - mmengine - INFO - Epoch(train) [122][2700/3757] lr: 2.4248e-03 eta: 1 day, 1:30:16 time: 0.4075 data_time: 0.0227 memory: 17006 grad_norm: 8.6790 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5348 loss: 1.5348 2022/07/29 17:05:48 - mmengine - INFO - Epoch(train) [122][2720/3757] lr: 2.4248e-03 eta: 1 day, 1:30:08 time: 0.4244 data_time: 0.0215 memory: 17006 grad_norm: 9.0262 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6659 loss: 1.6659 2022/07/29 17:05:56 - mmengine - INFO - Epoch(train) [122][2740/3757] lr: 2.4248e-03 eta: 1 day, 1:29:58 time: 0.4101 data_time: 0.0207 memory: 17006 grad_norm: 9.1497 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6998 loss: 1.6998 2022/07/29 17:06:05 - mmengine - INFO - Epoch(train) [122][2760/3757] lr: 2.4248e-03 eta: 1 day, 1:29:47 time: 0.4083 data_time: 0.0189 memory: 17006 grad_norm: 9.3230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6239 loss: 1.6239 2022/07/29 17:06:13 - mmengine - INFO - Epoch(train) [122][2780/3757] lr: 2.4248e-03 eta: 1 day, 1:29:42 time: 0.4348 data_time: 0.0200 memory: 17006 grad_norm: 8.9767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7111 loss: 1.7111 2022/07/29 17:06:21 - mmengine - INFO - Epoch(train) [122][2800/3757] lr: 2.4248e-03 eta: 1 day, 1:29:31 time: 0.4056 data_time: 0.0203 memory: 17006 grad_norm: 9.0514 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4207 loss: 1.4207 2022/07/29 17:06:30 - mmengine - INFO - Epoch(train) [122][2820/3757] lr: 2.4248e-03 eta: 1 day, 1:29:29 time: 0.4526 data_time: 0.0212 memory: 17006 grad_norm: 8.9783 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8098 loss: 1.8098 2022/07/29 17:06:39 - mmengine - INFO - Epoch(train) [122][2840/3757] lr: 2.4248e-03 eta: 1 day, 1:29:18 time: 0.4055 data_time: 0.0211 memory: 17006 grad_norm: 8.9696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5705 loss: 1.5705 2022/07/29 17:06:47 - mmengine - INFO - Epoch(train) [122][2860/3757] lr: 2.4248e-03 eta: 1 day, 1:29:13 time: 0.4342 data_time: 0.0218 memory: 17006 grad_norm: 9.2658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3579 loss: 1.3579 2022/07/29 17:06:55 - mmengine - INFO - Epoch(train) [122][2880/3757] lr: 2.4248e-03 eta: 1 day, 1:29:01 time: 0.4041 data_time: 0.0206 memory: 17006 grad_norm: 9.3373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5857 loss: 1.5857 2022/07/29 17:07:03 - mmengine - INFO - Epoch(train) [122][2900/3757] lr: 2.4248e-03 eta: 1 day, 1:28:50 time: 0.4048 data_time: 0.0215 memory: 17006 grad_norm: 9.2763 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1900 loss: 1.1900 2022/07/29 17:07:12 - mmengine - INFO - Epoch(train) [122][2920/3757] lr: 2.4248e-03 eta: 1 day, 1:28:38 time: 0.4038 data_time: 0.0202 memory: 17006 grad_norm: 9.4469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7795 loss: 1.7795 2022/07/29 17:07:20 - mmengine - INFO - Epoch(train) [122][2940/3757] lr: 2.4248e-03 eta: 1 day, 1:28:27 time: 0.4067 data_time: 0.0217 memory: 17006 grad_norm: 9.3770 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1406 loss: 2.1406 2022/07/29 17:07:29 - mmengine - INFO - Epoch(train) [122][2960/3757] lr: 2.4248e-03 eta: 1 day, 1:28:25 time: 0.4473 data_time: 0.0221 memory: 17006 grad_norm: 8.8516 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5262 loss: 1.5262 2022/07/29 17:07:37 - mmengine - INFO - Epoch(train) [122][2980/3757] lr: 2.4248e-03 eta: 1 day, 1:28:14 time: 0.4084 data_time: 0.0221 memory: 17006 grad_norm: 9.2382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6138 loss: 1.6138 2022/07/29 17:07:46 - mmengine - INFO - Epoch(train) [122][3000/3757] lr: 2.4248e-03 eta: 1 day, 1:28:16 time: 0.4697 data_time: 0.0221 memory: 17006 grad_norm: 8.9146 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6335 loss: 1.6335 2022/07/29 17:07:54 - mmengine - INFO - Epoch(train) [122][3020/3757] lr: 2.4248e-03 eta: 1 day, 1:28:04 time: 0.4022 data_time: 0.0199 memory: 17006 grad_norm: 8.8584 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6213 loss: 1.6213 2022/07/29 17:08:02 - mmengine - INFO - Epoch(train) [122][3040/3757] lr: 2.4248e-03 eta: 1 day, 1:27:53 time: 0.4049 data_time: 0.0210 memory: 17006 grad_norm: 9.1483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3804 loss: 1.3804 2022/07/29 17:08:11 - mmengine - INFO - Epoch(train) [122][3060/3757] lr: 2.4248e-03 eta: 1 day, 1:27:50 time: 0.4488 data_time: 0.0219 memory: 17006 grad_norm: 9.2346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6881 loss: 1.6881 2022/07/29 17:08:20 - mmengine - INFO - Epoch(train) [122][3080/3757] lr: 2.4248e-03 eta: 1 day, 1:27:40 time: 0.4075 data_time: 0.0221 memory: 17006 grad_norm: 8.8415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5935 loss: 1.5935 2022/07/29 17:08:29 - mmengine - INFO - Epoch(train) [122][3100/3757] lr: 2.4248e-03 eta: 1 day, 1:27:40 time: 0.4639 data_time: 0.0237 memory: 17006 grad_norm: 9.3567 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6071 loss: 1.6071 2022/07/29 17:08:37 - mmengine - INFO - Epoch(train) [122][3120/3757] lr: 2.4248e-03 eta: 1 day, 1:27:30 time: 0.4088 data_time: 0.0212 memory: 17006 grad_norm: 9.0329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5105 loss: 1.5105 2022/07/29 17:08:46 - mmengine - INFO - Epoch(train) [122][3140/3757] lr: 2.4248e-03 eta: 1 day, 1:27:22 time: 0.4217 data_time: 0.0210 memory: 17006 grad_norm: 9.5474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9966 loss: 1.9966 2022/07/29 17:08:54 - mmengine - INFO - Epoch(train) [122][3160/3757] lr: 2.4248e-03 eta: 1 day, 1:27:11 time: 0.4063 data_time: 0.0210 memory: 17006 grad_norm: 9.2397 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5004 loss: 1.5004 2022/07/29 17:09:03 - mmengine - INFO - Epoch(train) [122][3180/3757] lr: 2.4248e-03 eta: 1 day, 1:27:06 time: 0.4370 data_time: 0.0194 memory: 17006 grad_norm: 9.0349 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8018 loss: 1.8018 2022/07/29 17:09:11 - mmengine - INFO - Epoch(train) [122][3200/3757] lr: 2.4248e-03 eta: 1 day, 1:26:58 time: 0.4228 data_time: 0.0287 memory: 17006 grad_norm: 9.1172 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5433 loss: 1.5433 2022/07/29 17:09:19 - mmengine - INFO - Epoch(train) [122][3220/3757] lr: 2.4248e-03 eta: 1 day, 1:26:48 time: 0.4087 data_time: 0.0207 memory: 17006 grad_norm: 8.9430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6704 loss: 1.6704 2022/07/29 17:09:28 - mmengine - INFO - Epoch(train) [122][3240/3757] lr: 2.4248e-03 eta: 1 day, 1:26:38 time: 0.4128 data_time: 0.0211 memory: 17006 grad_norm: 9.3765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8749 loss: 1.8749 2022/07/29 17:09:36 - mmengine - INFO - Epoch(train) [122][3260/3757] lr: 2.4248e-03 eta: 1 day, 1:26:27 time: 0.4089 data_time: 0.0225 memory: 17006 grad_norm: 9.4591 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8127 loss: 1.8127 2022/07/29 17:09:44 - mmengine - INFO - Epoch(train) [122][3280/3757] lr: 2.4248e-03 eta: 1 day, 1:26:16 time: 0.4043 data_time: 0.0211 memory: 17006 grad_norm: 9.1512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5291 loss: 1.5291 2022/07/29 17:09:52 - mmengine - INFO - Epoch(train) [122][3300/3757] lr: 2.4248e-03 eta: 1 day, 1:26:09 time: 0.4258 data_time: 0.0209 memory: 17006 grad_norm: 9.3264 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6472 loss: 1.6472 2022/07/29 17:10:01 - mmengine - INFO - Epoch(train) [122][3320/3757] lr: 2.4248e-03 eta: 1 day, 1:25:59 time: 0.4107 data_time: 0.0215 memory: 17006 grad_norm: 9.2452 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6067 loss: 1.6067 2022/07/29 17:10:09 - mmengine - INFO - Epoch(train) [122][3340/3757] lr: 2.4248e-03 eta: 1 day, 1:25:50 time: 0.4170 data_time: 0.0205 memory: 17006 grad_norm: 8.7652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6643 loss: 1.6643 2022/07/29 17:10:18 - mmengine - INFO - Epoch(train) [122][3360/3757] lr: 2.4248e-03 eta: 1 day, 1:25:46 time: 0.4436 data_time: 0.0220 memory: 17006 grad_norm: 8.8019 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8416 loss: 1.8416 2022/07/29 17:10:26 - mmengine - INFO - Epoch(train) [122][3380/3757] lr: 2.4248e-03 eta: 1 day, 1:25:38 time: 0.4197 data_time: 0.0216 memory: 17006 grad_norm: 9.3065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9031 loss: 1.9031 2022/07/29 17:10:34 - mmengine - INFO - Epoch(train) [122][3400/3757] lr: 2.4248e-03 eta: 1 day, 1:25:27 time: 0.4037 data_time: 0.0215 memory: 17006 grad_norm: 9.2541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6527 loss: 1.6527 2022/07/29 17:10:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:10:43 - mmengine - INFO - Epoch(train) [122][3420/3757] lr: 2.4248e-03 eta: 1 day, 1:25:24 time: 0.4469 data_time: 0.0210 memory: 17006 grad_norm: 9.3023 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6976 loss: 1.6976 2022/07/29 17:10:52 - mmengine - INFO - Epoch(train) [122][3440/3757] lr: 2.4248e-03 eta: 1 day, 1:25:16 time: 0.4211 data_time: 0.0225 memory: 17006 grad_norm: 8.9876 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5714 loss: 1.5714 2022/07/29 17:11:00 - mmengine - INFO - Epoch(train) [122][3460/3757] lr: 2.4248e-03 eta: 1 day, 1:25:05 time: 0.4096 data_time: 0.0223 memory: 17006 grad_norm: 9.3717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7254 loss: 1.7254 2022/07/29 17:11:08 - mmengine - INFO - Epoch(train) [122][3480/3757] lr: 2.4248e-03 eta: 1 day, 1:24:55 time: 0.4121 data_time: 0.0214 memory: 17006 grad_norm: 9.2293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6634 loss: 1.6634 2022/07/29 17:11:17 - mmengine - INFO - Epoch(train) [122][3500/3757] lr: 2.4248e-03 eta: 1 day, 1:24:48 time: 0.4223 data_time: 0.0211 memory: 17006 grad_norm: 9.3922 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3269 loss: 1.3269 2022/07/29 17:11:25 - mmengine - INFO - Epoch(train) [122][3520/3757] lr: 2.4248e-03 eta: 1 day, 1:24:38 time: 0.4140 data_time: 0.0198 memory: 17006 grad_norm: 9.0777 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7592 loss: 1.7592 2022/07/29 17:11:33 - mmengine - INFO - Epoch(train) [122][3540/3757] lr: 2.4248e-03 eta: 1 day, 1:24:30 time: 0.4188 data_time: 0.0202 memory: 17006 grad_norm: 8.9347 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3954 loss: 1.3954 2022/07/29 17:11:42 - mmengine - INFO - Epoch(train) [122][3560/3757] lr: 2.4248e-03 eta: 1 day, 1:24:19 time: 0.4080 data_time: 0.0212 memory: 17006 grad_norm: 8.9439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7634 loss: 1.7634 2022/07/29 17:11:50 - mmengine - INFO - Epoch(train) [122][3580/3757] lr: 2.4248e-03 eta: 1 day, 1:24:15 time: 0.4399 data_time: 0.0207 memory: 17006 grad_norm: 9.4123 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7564 loss: 1.7564 2022/07/29 17:11:59 - mmengine - INFO - Epoch(train) [122][3600/3757] lr: 2.4248e-03 eta: 1 day, 1:24:04 time: 0.4075 data_time: 0.0219 memory: 17006 grad_norm: 9.2029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6936 loss: 1.6936 2022/07/29 17:12:07 - mmengine - INFO - Epoch(train) [122][3620/3757] lr: 2.4248e-03 eta: 1 day, 1:23:58 time: 0.4316 data_time: 0.0204 memory: 17006 grad_norm: 9.0449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9118 loss: 1.9118 2022/07/29 17:12:16 - mmengine - INFO - Epoch(train) [122][3640/3757] lr: 2.4248e-03 eta: 1 day, 1:23:54 time: 0.4439 data_time: 0.0207 memory: 17006 grad_norm: 8.8338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7341 loss: 1.7341 2022/07/29 17:12:24 - mmengine - INFO - Epoch(train) [122][3660/3757] lr: 2.4248e-03 eta: 1 day, 1:23:43 time: 0.4022 data_time: 0.0201 memory: 17006 grad_norm: 8.6798 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4329 loss: 1.4329 2022/07/29 17:12:33 - mmengine - INFO - Epoch(train) [122][3680/3757] lr: 2.4248e-03 eta: 1 day, 1:23:34 time: 0.4159 data_time: 0.0207 memory: 17006 grad_norm: 8.8379 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6267 loss: 1.6267 2022/07/29 17:12:41 - mmengine - INFO - Epoch(train) [122][3700/3757] lr: 2.4248e-03 eta: 1 day, 1:23:23 time: 0.4060 data_time: 0.0219 memory: 17006 grad_norm: 9.3998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6589 loss: 1.6589 2022/07/29 17:12:50 - mmengine - INFO - Epoch(train) [122][3720/3757] lr: 2.4248e-03 eta: 1 day, 1:23:18 time: 0.4362 data_time: 0.0207 memory: 17006 grad_norm: 9.2498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4719 loss: 1.4719 2022/07/29 17:12:58 - mmengine - INFO - Epoch(train) [122][3740/3757] lr: 2.4248e-03 eta: 1 day, 1:23:07 time: 0.4068 data_time: 0.0214 memory: 17006 grad_norm: 9.1618 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5612 loss: 1.5612 2022/07/29 17:13:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:13:04 - mmengine - INFO - Epoch(train) [122][3757/3757] lr: 2.4248e-03 eta: 1 day, 1:23:07 time: 0.3940 data_time: 0.0202 memory: 17006 grad_norm: 8.8889 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 1.5813 loss: 1.5813 2022/07/29 17:13:04 - mmengine - INFO - Saving checkpoint at 122 epochs 2022/07/29 17:13:20 - mmengine - INFO - Epoch(train) [123][20/3757] lr: 2.3504e-03 eta: 1 day, 1:21:47 time: 0.4457 data_time: 0.0622 memory: 17006 grad_norm: 8.9139 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4957 loss: 1.4957 2022/07/29 17:13:28 - mmengine - INFO - Epoch(train) [123][40/3757] lr: 2.3504e-03 eta: 1 day, 1:21:40 time: 0.4239 data_time: 0.0225 memory: 17006 grad_norm: 9.4976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5911 loss: 1.5911 2022/07/29 17:13:36 - mmengine - INFO - Epoch(train) [123][60/3757] lr: 2.3504e-03 eta: 1 day, 1:21:31 time: 0.4173 data_time: 0.0199 memory: 17006 grad_norm: 9.2533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5142 loss: 1.5142 2022/07/29 17:13:45 - mmengine - INFO - Epoch(train) [123][80/3757] lr: 2.3504e-03 eta: 1 day, 1:21:20 time: 0.4046 data_time: 0.0213 memory: 17006 grad_norm: 8.9628 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6615 loss: 1.6615 2022/07/29 17:13:53 - mmengine - INFO - Epoch(train) [123][100/3757] lr: 2.3504e-03 eta: 1 day, 1:21:12 time: 0.4204 data_time: 0.0196 memory: 17006 grad_norm: 9.0939 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4033 loss: 1.4033 2022/07/29 17:14:02 - mmengine - INFO - Epoch(train) [123][120/3757] lr: 2.3504e-03 eta: 1 day, 1:21:06 time: 0.4312 data_time: 0.0204 memory: 17006 grad_norm: 9.1371 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7295 loss: 1.7295 2022/07/29 17:14:10 - mmengine - INFO - Epoch(train) [123][140/3757] lr: 2.3504e-03 eta: 1 day, 1:20:58 time: 0.4230 data_time: 0.0204 memory: 17006 grad_norm: 9.4068 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5652 loss: 1.5652 2022/07/29 17:14:18 - mmengine - INFO - Epoch(train) [123][160/3757] lr: 2.3504e-03 eta: 1 day, 1:20:48 time: 0.4069 data_time: 0.0215 memory: 17006 grad_norm: 9.5004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5763 loss: 1.5763 2022/07/29 17:14:27 - mmengine - INFO - Epoch(train) [123][180/3757] lr: 2.3504e-03 eta: 1 day, 1:20:39 time: 0.4185 data_time: 0.0172 memory: 17006 grad_norm: 9.2095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6922 loss: 1.6922 2022/07/29 17:14:35 - mmengine - INFO - Epoch(train) [123][200/3757] lr: 2.3504e-03 eta: 1 day, 1:20:28 time: 0.4045 data_time: 0.0209 memory: 17006 grad_norm: 8.8323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6531 loss: 1.6531 2022/07/29 17:14:43 - mmengine - INFO - Epoch(train) [123][220/3757] lr: 2.3504e-03 eta: 1 day, 1:20:17 time: 0.4061 data_time: 0.0186 memory: 17006 grad_norm: 9.3303 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8844 loss: 1.8844 2022/07/29 17:14:52 - mmengine - INFO - Epoch(train) [123][240/3757] lr: 2.3504e-03 eta: 1 day, 1:20:12 time: 0.4375 data_time: 0.0214 memory: 17006 grad_norm: 8.5807 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3473 loss: 1.3473 2022/07/29 17:15:00 - mmengine - INFO - Epoch(train) [123][260/3757] lr: 2.3504e-03 eta: 1 day, 1:20:01 time: 0.4034 data_time: 0.0203 memory: 17006 grad_norm: 9.3991 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4793 loss: 1.4793 2022/07/29 17:15:08 - mmengine - INFO - Epoch(train) [123][280/3757] lr: 2.3504e-03 eta: 1 day, 1:19:51 time: 0.4132 data_time: 0.0214 memory: 17006 grad_norm: 9.3567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7055 loss: 1.7055 2022/07/29 17:15:16 - mmengine - INFO - Epoch(train) [123][300/3757] lr: 2.3504e-03 eta: 1 day, 1:19:42 time: 0.4137 data_time: 0.0186 memory: 17006 grad_norm: 9.1718 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7870 loss: 1.7870 2022/07/29 17:15:24 - mmengine - INFO - Epoch(train) [123][320/3757] lr: 2.3504e-03 eta: 1 day, 1:19:31 time: 0.4031 data_time: 0.0196 memory: 17006 grad_norm: 8.6925 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7062 loss: 1.7062 2022/07/29 17:15:33 - mmengine - INFO - Epoch(train) [123][340/3757] lr: 2.3504e-03 eta: 1 day, 1:19:24 time: 0.4268 data_time: 0.0215 memory: 17006 grad_norm: 9.2262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5671 loss: 1.5671 2022/07/29 17:15:41 - mmengine - INFO - Epoch(train) [123][360/3757] lr: 2.3504e-03 eta: 1 day, 1:19:14 time: 0.4129 data_time: 0.0205 memory: 17006 grad_norm: 9.3652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6649 loss: 1.6649 2022/07/29 17:15:50 - mmengine - INFO - Epoch(train) [123][380/3757] lr: 2.3504e-03 eta: 1 day, 1:19:08 time: 0.4293 data_time: 0.0207 memory: 17006 grad_norm: 8.8123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5591 loss: 1.5591 2022/07/29 17:15:58 - mmengine - INFO - Epoch(train) [123][400/3757] lr: 2.3504e-03 eta: 1 day, 1:18:58 time: 0.4130 data_time: 0.0199 memory: 17006 grad_norm: 9.4104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8378 loss: 1.8378 2022/07/29 17:16:07 - mmengine - INFO - Epoch(train) [123][420/3757] lr: 2.3504e-03 eta: 1 day, 1:18:52 time: 0.4294 data_time: 0.0201 memory: 17006 grad_norm: 9.0646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/07/29 17:16:15 - mmengine - INFO - Epoch(train) [123][440/3757] lr: 2.3504e-03 eta: 1 day, 1:18:40 time: 0.4029 data_time: 0.0217 memory: 17006 grad_norm: 9.1295 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6702 loss: 1.6702 2022/07/29 17:16:23 - mmengine - INFO - Epoch(train) [123][460/3757] lr: 2.3504e-03 eta: 1 day, 1:18:31 time: 0.4153 data_time: 0.0187 memory: 17006 grad_norm: 9.5317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4553 loss: 1.4553 2022/07/29 17:16:32 - mmengine - INFO - Epoch(train) [123][480/3757] lr: 2.3504e-03 eta: 1 day, 1:18:22 time: 0.4158 data_time: 0.0221 memory: 17006 grad_norm: 9.0248 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6486 loss: 1.6486 2022/07/29 17:16:40 - mmengine - INFO - Epoch(train) [123][500/3757] lr: 2.3504e-03 eta: 1 day, 1:18:12 time: 0.4065 data_time: 0.0171 memory: 17006 grad_norm: 8.7437 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3783 loss: 1.3783 2022/07/29 17:16:49 - mmengine - INFO - Epoch(train) [123][520/3757] lr: 2.3504e-03 eta: 1 day, 1:18:12 time: 0.4637 data_time: 0.0226 memory: 17006 grad_norm: 9.7014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7728 loss: 1.7728 2022/07/29 17:16:57 - mmengine - INFO - Epoch(train) [123][540/3757] lr: 2.3504e-03 eta: 1 day, 1:18:02 time: 0.4136 data_time: 0.0183 memory: 17006 grad_norm: 9.4644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6191 loss: 1.6191 2022/07/29 17:17:06 - mmengine - INFO - Epoch(train) [123][560/3757] lr: 2.3504e-03 eta: 1 day, 1:18:01 time: 0.4563 data_time: 0.0575 memory: 17006 grad_norm: 9.2139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6963 loss: 1.6963 2022/07/29 17:17:14 - mmengine - INFO - Epoch(train) [123][580/3757] lr: 2.3504e-03 eta: 1 day, 1:17:49 time: 0.4014 data_time: 0.0188 memory: 17006 grad_norm: 8.9524 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6977 loss: 1.6977 2022/07/29 17:17:24 - mmengine - INFO - Epoch(train) [123][600/3757] lr: 2.3504e-03 eta: 1 day, 1:17:52 time: 0.4807 data_time: 0.0191 memory: 17006 grad_norm: 9.0760 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7439 loss: 1.7439 2022/07/29 17:17:33 - mmengine - INFO - Epoch(train) [123][620/3757] lr: 2.3504e-03 eta: 1 day, 1:17:51 time: 0.4547 data_time: 0.0189 memory: 17006 grad_norm: 9.7379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7147 loss: 1.7147 2022/07/29 17:17:41 - mmengine - INFO - Epoch(train) [123][640/3757] lr: 2.3504e-03 eta: 1 day, 1:17:39 time: 0.4022 data_time: 0.0200 memory: 17006 grad_norm: 9.2513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8449 loss: 1.8449 2022/07/29 17:17:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:17:50 - mmengine - INFO - Epoch(train) [123][660/3757] lr: 2.3504e-03 eta: 1 day, 1:17:30 time: 0.4166 data_time: 0.0200 memory: 17006 grad_norm: 9.1374 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5332 loss: 1.5332 2022/07/29 17:17:58 - mmengine - INFO - Epoch(train) [123][680/3757] lr: 2.3504e-03 eta: 1 day, 1:17:19 time: 0.4032 data_time: 0.0201 memory: 17006 grad_norm: 8.9360 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4804 loss: 1.4804 2022/07/29 17:18:06 - mmengine - INFO - Epoch(train) [123][700/3757] lr: 2.3504e-03 eta: 1 day, 1:17:11 time: 0.4233 data_time: 0.0185 memory: 17006 grad_norm: 9.0278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8931 loss: 1.8931 2022/07/29 17:18:15 - mmengine - INFO - Epoch(train) [123][720/3757] lr: 2.3504e-03 eta: 1 day, 1:17:10 time: 0.4594 data_time: 0.0752 memory: 17006 grad_norm: 9.0598 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6207 loss: 1.6207 2022/07/29 17:18:24 - mmengine - INFO - Epoch(train) [123][740/3757] lr: 2.3504e-03 eta: 1 day, 1:16:59 time: 0.4037 data_time: 0.0180 memory: 17006 grad_norm: 9.1012 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7040 loss: 1.7040 2022/07/29 17:18:32 - mmengine - INFO - Epoch(train) [123][760/3757] lr: 2.3504e-03 eta: 1 day, 1:16:51 time: 0.4221 data_time: 0.0225 memory: 17006 grad_norm: 9.0051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4022 loss: 1.4022 2022/07/29 17:18:42 - mmengine - INFO - Epoch(train) [123][780/3757] lr: 2.3504e-03 eta: 1 day, 1:16:55 time: 0.4821 data_time: 0.0177 memory: 17006 grad_norm: 9.2299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4032 loss: 1.4032 2022/07/29 17:18:50 - mmengine - INFO - Epoch(train) [123][800/3757] lr: 2.3504e-03 eta: 1 day, 1:16:49 time: 0.4327 data_time: 0.0210 memory: 17006 grad_norm: 9.1727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6040 loss: 1.6040 2022/07/29 17:18:59 - mmengine - INFO - Epoch(train) [123][820/3757] lr: 2.3504e-03 eta: 1 day, 1:16:38 time: 0.4081 data_time: 0.0229 memory: 17006 grad_norm: 9.2000 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4697 loss: 1.4697 2022/07/29 17:19:07 - mmengine - INFO - Epoch(train) [123][840/3757] lr: 2.3504e-03 eta: 1 day, 1:16:30 time: 0.4183 data_time: 0.0205 memory: 17006 grad_norm: 9.4391 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6409 loss: 1.6409 2022/07/29 17:19:15 - mmengine - INFO - Epoch(train) [123][860/3757] lr: 2.3504e-03 eta: 1 day, 1:16:18 time: 0.4029 data_time: 0.0187 memory: 17006 grad_norm: 9.2048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4600 loss: 1.4600 2022/07/29 17:19:23 - mmengine - INFO - Epoch(train) [123][880/3757] lr: 2.3504e-03 eta: 1 day, 1:16:10 time: 0.4187 data_time: 0.0193 memory: 17006 grad_norm: 9.3825 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5988 loss: 1.5988 2022/07/29 17:19:31 - mmengine - INFO - Epoch(train) [123][900/3757] lr: 2.3504e-03 eta: 1 day, 1:15:58 time: 0.4025 data_time: 0.0184 memory: 17006 grad_norm: 9.4694 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8373 loss: 1.8373 2022/07/29 17:19:40 - mmengine - INFO - Epoch(train) [123][920/3757] lr: 2.3504e-03 eta: 1 day, 1:15:52 time: 0.4305 data_time: 0.0236 memory: 17006 grad_norm: 9.0267 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5681 loss: 1.5681 2022/07/29 17:19:48 - mmengine - INFO - Epoch(train) [123][940/3757] lr: 2.3504e-03 eta: 1 day, 1:15:42 time: 0.4085 data_time: 0.0192 memory: 17006 grad_norm: 9.1671 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8867 loss: 1.8867 2022/07/29 17:19:57 - mmengine - INFO - Epoch(train) [123][960/3757] lr: 2.3504e-03 eta: 1 day, 1:15:38 time: 0.4424 data_time: 0.0230 memory: 17006 grad_norm: 9.4854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8749 loss: 1.8749 2022/07/29 17:20:05 - mmengine - INFO - Epoch(train) [123][980/3757] lr: 2.3504e-03 eta: 1 day, 1:15:26 time: 0.4029 data_time: 0.0193 memory: 17006 grad_norm: 9.4985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4085 loss: 1.4085 2022/07/29 17:20:13 - mmengine - INFO - Epoch(train) [123][1000/3757] lr: 2.3504e-03 eta: 1 day, 1:15:16 time: 0.4092 data_time: 0.0199 memory: 17006 grad_norm: 8.7981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6107 loss: 1.6107 2022/07/29 17:20:22 - mmengine - INFO - Epoch(train) [123][1020/3757] lr: 2.3504e-03 eta: 1 day, 1:15:09 time: 0.4244 data_time: 0.0203 memory: 17006 grad_norm: 8.9089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8179 loss: 1.8179 2022/07/29 17:20:30 - mmengine - INFO - Epoch(train) [123][1040/3757] lr: 2.3504e-03 eta: 1 day, 1:14:58 time: 0.4055 data_time: 0.0206 memory: 17006 grad_norm: 9.1628 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8479 loss: 1.8479 2022/07/29 17:20:39 - mmengine - INFO - Epoch(train) [123][1060/3757] lr: 2.3504e-03 eta: 1 day, 1:14:50 time: 0.4228 data_time: 0.0197 memory: 17006 grad_norm: 8.7631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7279 loss: 1.7279 2022/07/29 17:20:47 - mmengine - INFO - Epoch(train) [123][1080/3757] lr: 2.3504e-03 eta: 1 day, 1:14:41 time: 0.4169 data_time: 0.0205 memory: 17006 grad_norm: 8.9841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5174 loss: 1.5174 2022/07/29 17:20:55 - mmengine - INFO - Epoch(train) [123][1100/3757] lr: 2.3504e-03 eta: 1 day, 1:14:30 time: 0.4026 data_time: 0.0187 memory: 17006 grad_norm: 9.6948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7027 loss: 1.7027 2022/07/29 17:21:04 - mmengine - INFO - Epoch(train) [123][1120/3757] lr: 2.3504e-03 eta: 1 day, 1:14:23 time: 0.4258 data_time: 0.0224 memory: 17006 grad_norm: 8.8796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5447 loss: 1.5447 2022/07/29 17:21:12 - mmengine - INFO - Epoch(train) [123][1140/3757] lr: 2.3504e-03 eta: 1 day, 1:14:11 time: 0.4027 data_time: 0.0176 memory: 17006 grad_norm: 9.0702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6207 loss: 1.6207 2022/07/29 17:21:20 - mmengine - INFO - Epoch(train) [123][1160/3757] lr: 2.3504e-03 eta: 1 day, 1:14:02 time: 0.4159 data_time: 0.0217 memory: 17006 grad_norm: 9.1199 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4302 loss: 1.4302 2022/07/29 17:21:28 - mmengine - INFO - Epoch(train) [123][1180/3757] lr: 2.3504e-03 eta: 1 day, 1:13:51 time: 0.4023 data_time: 0.0176 memory: 17006 grad_norm: 8.9354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6154 loss: 1.6154 2022/07/29 17:21:36 - mmengine - INFO - Epoch(train) [123][1200/3757] lr: 2.3504e-03 eta: 1 day, 1:13:42 time: 0.4145 data_time: 0.0199 memory: 17006 grad_norm: 9.3484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5050 loss: 1.5050 2022/07/29 17:21:46 - mmengine - INFO - Epoch(train) [123][1220/3757] lr: 2.3504e-03 eta: 1 day, 1:13:43 time: 0.4722 data_time: 0.0199 memory: 17006 grad_norm: 8.9462 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4774 loss: 1.4774 2022/07/29 17:21:54 - mmengine - INFO - Epoch(train) [123][1240/3757] lr: 2.3504e-03 eta: 1 day, 1:13:32 time: 0.4030 data_time: 0.0191 memory: 17006 grad_norm: 8.8104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7809 loss: 1.7809 2022/07/29 17:22:02 - mmengine - INFO - Epoch(train) [123][1260/3757] lr: 2.3504e-03 eta: 1 day, 1:13:22 time: 0.4148 data_time: 0.0223 memory: 17006 grad_norm: 9.5823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8263 loss: 1.8263 2022/07/29 17:22:10 - mmengine - INFO - Epoch(train) [123][1280/3757] lr: 2.3504e-03 eta: 1 day, 1:13:11 time: 0.4044 data_time: 0.0221 memory: 17006 grad_norm: 9.0656 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7437 loss: 1.7437 2022/07/29 17:22:19 - mmengine - INFO - Epoch(train) [123][1300/3757] lr: 2.3504e-03 eta: 1 day, 1:13:05 time: 0.4321 data_time: 0.0205 memory: 17006 grad_norm: 9.4170 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6631 loss: 1.6631 2022/07/29 17:22:27 - mmengine - INFO - Epoch(train) [123][1320/3757] lr: 2.3504e-03 eta: 1 day, 1:12:55 time: 0.4098 data_time: 0.0191 memory: 17006 grad_norm: 8.8471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6279 loss: 1.6279 2022/07/29 17:22:38 - mmengine - INFO - Epoch(train) [123][1340/3757] lr: 2.3504e-03 eta: 1 day, 1:13:11 time: 0.5515 data_time: 0.0273 memory: 17006 grad_norm: 8.7890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6085 loss: 1.6085 2022/07/29 17:22:46 - mmengine - INFO - Epoch(train) [123][1360/3757] lr: 2.3504e-03 eta: 1 day, 1:12:59 time: 0.4016 data_time: 0.0169 memory: 17006 grad_norm: 9.2533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7440 loss: 1.7440 2022/07/29 17:22:55 - mmengine - INFO - Epoch(train) [123][1380/3757] lr: 2.3504e-03 eta: 1 day, 1:12:54 time: 0.4334 data_time: 0.0511 memory: 17006 grad_norm: 8.9311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5111 loss: 1.5111 2022/07/29 17:23:04 - mmengine - INFO - Epoch(train) [123][1400/3757] lr: 2.3504e-03 eta: 1 day, 1:12:53 time: 0.4649 data_time: 0.0152 memory: 17006 grad_norm: 9.4227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5709 loss: 1.5709 2022/07/29 17:23:12 - mmengine - INFO - Epoch(train) [123][1420/3757] lr: 2.3504e-03 eta: 1 day, 1:12:42 time: 0.4046 data_time: 0.0188 memory: 17006 grad_norm: 9.4028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6384 loss: 1.6384 2022/07/29 17:23:22 - mmengine - INFO - Epoch(train) [123][1440/3757] lr: 2.3504e-03 eta: 1 day, 1:12:47 time: 0.4895 data_time: 0.0905 memory: 17006 grad_norm: 9.2271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4820 loss: 1.4820 2022/07/29 17:23:30 - mmengine - INFO - Epoch(train) [123][1460/3757] lr: 2.3504e-03 eta: 1 day, 1:12:36 time: 0.4067 data_time: 0.0135 memory: 17006 grad_norm: 9.3076 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6291 loss: 1.6291 2022/07/29 17:23:39 - mmengine - INFO - Epoch(train) [123][1480/3757] lr: 2.3504e-03 eta: 1 day, 1:12:31 time: 0.4390 data_time: 0.0394 memory: 17006 grad_norm: 9.5920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8699 loss: 1.8699 2022/07/29 17:23:47 - mmengine - INFO - Epoch(train) [123][1500/3757] lr: 2.3504e-03 eta: 1 day, 1:12:20 time: 0.4048 data_time: 0.0160 memory: 17006 grad_norm: 8.8195 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7575 loss: 1.7575 2022/07/29 17:23:55 - mmengine - INFO - Epoch(train) [123][1520/3757] lr: 2.3504e-03 eta: 1 day, 1:12:09 time: 0.4027 data_time: 0.0194 memory: 17006 grad_norm: 8.8851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6023 loss: 1.6023 2022/07/29 17:24:04 - mmengine - INFO - Epoch(train) [123][1540/3757] lr: 2.3504e-03 eta: 1 day, 1:12:02 time: 0.4270 data_time: 0.0186 memory: 17006 grad_norm: 9.3240 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6404 loss: 1.6404 2022/07/29 17:24:12 - mmengine - INFO - Epoch(train) [123][1560/3757] lr: 2.3504e-03 eta: 1 day, 1:11:53 time: 0.4148 data_time: 0.0194 memory: 17006 grad_norm: 9.0120 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6519 loss: 1.6519 2022/07/29 17:24:21 - mmengine - INFO - Epoch(train) [123][1580/3757] lr: 2.3504e-03 eta: 1 day, 1:11:43 time: 0.4130 data_time: 0.0172 memory: 17006 grad_norm: 9.1360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7512 loss: 1.7512 2022/07/29 17:24:29 - mmengine - INFO - Epoch(train) [123][1600/3757] lr: 2.3504e-03 eta: 1 day, 1:11:34 time: 0.4135 data_time: 0.0245 memory: 17006 grad_norm: 9.1369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5346 loss: 1.5346 2022/07/29 17:24:37 - mmengine - INFO - Epoch(train) [123][1620/3757] lr: 2.3504e-03 eta: 1 day, 1:11:23 time: 0.4067 data_time: 0.0175 memory: 17006 grad_norm: 9.3591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6987 loss: 1.6987 2022/07/29 17:24:45 - mmengine - INFO - Epoch(train) [123][1640/3757] lr: 2.3504e-03 eta: 1 day, 1:11:12 time: 0.4044 data_time: 0.0220 memory: 17006 grad_norm: 8.9618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5599 loss: 1.5599 2022/07/29 17:24:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:24:53 - mmengine - INFO - Epoch(train) [123][1660/3757] lr: 2.3504e-03 eta: 1 day, 1:11:03 time: 0.4137 data_time: 0.0212 memory: 17006 grad_norm: 9.2376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6094 loss: 1.6094 2022/07/29 17:25:02 - mmengine - INFO - Epoch(train) [123][1680/3757] lr: 2.3504e-03 eta: 1 day, 1:10:52 time: 0.4093 data_time: 0.0207 memory: 17006 grad_norm: 9.2295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6160 loss: 1.6160 2022/07/29 17:25:10 - mmengine - INFO - Epoch(train) [123][1700/3757] lr: 2.3504e-03 eta: 1 day, 1:10:43 time: 0.4124 data_time: 0.0183 memory: 17006 grad_norm: 9.3698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6546 loss: 1.6546 2022/07/29 17:25:18 - mmengine - INFO - Epoch(train) [123][1720/3757] lr: 2.3504e-03 eta: 1 day, 1:10:34 time: 0.4173 data_time: 0.0208 memory: 17006 grad_norm: 9.1686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4827 loss: 1.4827 2022/07/29 17:25:26 - mmengine - INFO - Epoch(train) [123][1740/3757] lr: 2.3504e-03 eta: 1 day, 1:10:24 time: 0.4107 data_time: 0.0191 memory: 17006 grad_norm: 9.8647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7288 loss: 1.7288 2022/07/29 17:25:36 - mmengine - INFO - Epoch(train) [123][1760/3757] lr: 2.3504e-03 eta: 1 day, 1:10:23 time: 0.4599 data_time: 0.0207 memory: 17006 grad_norm: 8.9894 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5514 loss: 1.5514 2022/07/29 17:25:46 - mmengine - INFO - Epoch(train) [123][1780/3757] lr: 2.3504e-03 eta: 1 day, 1:10:28 time: 0.4924 data_time: 0.0176 memory: 17006 grad_norm: 9.0568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4023 loss: 1.4023 2022/07/29 17:25:54 - mmengine - INFO - Epoch(train) [123][1800/3757] lr: 2.3504e-03 eta: 1 day, 1:10:20 time: 0.4240 data_time: 0.0192 memory: 17006 grad_norm: 8.9510 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4325 loss: 1.4325 2022/07/29 17:26:02 - mmengine - INFO - Epoch(train) [123][1820/3757] lr: 2.3504e-03 eta: 1 day, 1:10:09 time: 0.4017 data_time: 0.0185 memory: 17006 grad_norm: 9.1319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4672 loss: 1.4672 2022/07/29 17:26:11 - mmengine - INFO - Epoch(train) [123][1840/3757] lr: 2.3504e-03 eta: 1 day, 1:10:03 time: 0.4353 data_time: 0.0210 memory: 17006 grad_norm: 9.4083 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6474 loss: 1.6474 2022/07/29 17:26:21 - mmengine - INFO - Epoch(train) [123][1860/3757] lr: 2.3504e-03 eta: 1 day, 1:10:06 time: 0.4863 data_time: 0.0181 memory: 17006 grad_norm: 9.3667 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7345 loss: 1.7345 2022/07/29 17:26:30 - mmengine - INFO - Epoch(train) [123][1880/3757] lr: 2.3504e-03 eta: 1 day, 1:10:07 time: 0.4713 data_time: 0.0262 memory: 17006 grad_norm: 9.1604 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7597 loss: 1.7597 2022/07/29 17:26:40 - mmengine - INFO - Epoch(train) [123][1900/3757] lr: 2.3504e-03 eta: 1 day, 1:10:11 time: 0.4880 data_time: 0.0193 memory: 17006 grad_norm: 9.0830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5288 loss: 1.5288 2022/07/29 17:26:49 - mmengine - INFO - Epoch(train) [123][1920/3757] lr: 2.3504e-03 eta: 1 day, 1:10:05 time: 0.4325 data_time: 0.0215 memory: 17006 grad_norm: 9.0432 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5973 loss: 1.5973 2022/07/29 17:26:57 - mmengine - INFO - Epoch(train) [123][1940/3757] lr: 2.3504e-03 eta: 1 day, 1:09:53 time: 0.4018 data_time: 0.0181 memory: 17006 grad_norm: 8.7769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5019 loss: 1.5019 2022/07/29 17:27:05 - mmengine - INFO - Epoch(train) [123][1960/3757] lr: 2.3504e-03 eta: 1 day, 1:09:42 time: 0.4030 data_time: 0.0204 memory: 17006 grad_norm: 9.1643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5548 loss: 1.5548 2022/07/29 17:27:13 - mmengine - INFO - Epoch(train) [123][1980/3757] lr: 2.3504e-03 eta: 1 day, 1:09:35 time: 0.4246 data_time: 0.0188 memory: 17006 grad_norm: 9.1353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7489 loss: 1.7489 2022/07/29 17:27:22 - mmengine - INFO - Epoch(train) [123][2000/3757] lr: 2.3504e-03 eta: 1 day, 1:09:27 time: 0.4265 data_time: 0.0207 memory: 17006 grad_norm: 9.1047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8040 loss: 1.8040 2022/07/29 17:27:30 - mmengine - INFO - Epoch(train) [123][2020/3757] lr: 2.3504e-03 eta: 1 day, 1:09:18 time: 0.4139 data_time: 0.0201 memory: 17006 grad_norm: 8.8261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6884 loss: 1.6884 2022/07/29 17:27:38 - mmengine - INFO - Epoch(train) [123][2040/3757] lr: 2.3504e-03 eta: 1 day, 1:09:07 time: 0.4028 data_time: 0.0202 memory: 17006 grad_norm: 9.4257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6421 loss: 1.6421 2022/07/29 17:27:49 - mmengine - INFO - Epoch(train) [123][2060/3757] lr: 2.3504e-03 eta: 1 day, 1:09:17 time: 0.5283 data_time: 0.0178 memory: 17006 grad_norm: 9.2916 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6287 loss: 1.6287 2022/07/29 17:27:57 - mmengine - INFO - Epoch(train) [123][2080/3757] lr: 2.3504e-03 eta: 1 day, 1:09:06 time: 0.4023 data_time: 0.0206 memory: 17006 grad_norm: 9.1725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7004 loss: 1.7004 2022/07/29 17:28:05 - mmengine - INFO - Epoch(train) [123][2100/3757] lr: 2.3504e-03 eta: 1 day, 1:08:55 time: 0.4027 data_time: 0.0174 memory: 17006 grad_norm: 9.4082 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5384 loss: 1.5384 2022/07/29 17:28:14 - mmengine - INFO - Epoch(train) [123][2120/3757] lr: 2.3504e-03 eta: 1 day, 1:08:51 time: 0.4436 data_time: 0.0226 memory: 17006 grad_norm: 9.8367 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7744 loss: 1.7744 2022/07/29 17:28:22 - mmengine - INFO - Epoch(train) [123][2140/3757] lr: 2.3504e-03 eta: 1 day, 1:08:39 time: 0.4017 data_time: 0.0179 memory: 17006 grad_norm: 8.8080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/07/29 17:28:30 - mmengine - INFO - Epoch(train) [123][2160/3757] lr: 2.3504e-03 eta: 1 day, 1:08:33 time: 0.4340 data_time: 0.0232 memory: 17006 grad_norm: 8.8757 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/07/29 17:28:39 - mmengine - INFO - Epoch(train) [123][2180/3757] lr: 2.3504e-03 eta: 1 day, 1:08:22 time: 0.4044 data_time: 0.0175 memory: 17006 grad_norm: 8.9851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5509 loss: 1.5509 2022/07/29 17:28:47 - mmengine - INFO - Epoch(train) [123][2200/3757] lr: 2.3504e-03 eta: 1 day, 1:08:14 time: 0.4209 data_time: 0.0215 memory: 17006 grad_norm: 9.3011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8762 loss: 1.8762 2022/07/29 17:28:55 - mmengine - INFO - Epoch(train) [123][2220/3757] lr: 2.3504e-03 eta: 1 day, 1:08:05 time: 0.4179 data_time: 0.0225 memory: 17006 grad_norm: 8.9720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6161 loss: 1.6161 2022/07/29 17:29:04 - mmengine - INFO - Epoch(train) [123][2240/3757] lr: 2.3504e-03 eta: 1 day, 1:07:54 time: 0.4049 data_time: 0.0209 memory: 17006 grad_norm: 9.1292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2497 loss: 1.2497 2022/07/29 17:29:12 - mmengine - INFO - Epoch(train) [123][2260/3757] lr: 2.3504e-03 eta: 1 day, 1:07:47 time: 0.4256 data_time: 0.0195 memory: 17006 grad_norm: 9.0792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5073 loss: 1.5073 2022/07/29 17:29:20 - mmengine - INFO - Epoch(train) [123][2280/3757] lr: 2.3504e-03 eta: 1 day, 1:07:36 time: 0.4039 data_time: 0.0214 memory: 17006 grad_norm: 9.1739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5199 loss: 1.5199 2022/07/29 17:29:30 - mmengine - INFO - Epoch(train) [123][2300/3757] lr: 2.3504e-03 eta: 1 day, 1:07:36 time: 0.4674 data_time: 0.0192 memory: 17006 grad_norm: 8.7675 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6068 loss: 1.6068 2022/07/29 17:29:38 - mmengine - INFO - Epoch(train) [123][2320/3757] lr: 2.3504e-03 eta: 1 day, 1:07:31 time: 0.4370 data_time: 0.0205 memory: 17006 grad_norm: 9.1358 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8805 loss: 1.8805 2022/07/29 17:29:46 - mmengine - INFO - Epoch(train) [123][2340/3757] lr: 2.3504e-03 eta: 1 day, 1:07:19 time: 0.4002 data_time: 0.0165 memory: 17006 grad_norm: 9.2589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6273 loss: 1.6273 2022/07/29 17:29:56 - mmengine - INFO - Epoch(train) [123][2360/3757] lr: 2.3504e-03 eta: 1 day, 1:07:21 time: 0.4781 data_time: 0.0236 memory: 17006 grad_norm: 9.1623 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5562 loss: 1.5562 2022/07/29 17:30:06 - mmengine - INFO - Epoch(train) [123][2380/3757] lr: 2.3504e-03 eta: 1 day, 1:07:26 time: 0.4980 data_time: 0.0184 memory: 17006 grad_norm: 8.9037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/07/29 17:30:15 - mmengine - INFO - Epoch(train) [123][2400/3757] lr: 2.3504e-03 eta: 1 day, 1:07:21 time: 0.4422 data_time: 0.0194 memory: 17006 grad_norm: 8.8759 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5031 loss: 1.5031 2022/07/29 17:30:23 - mmengine - INFO - Epoch(train) [123][2420/3757] lr: 2.3504e-03 eta: 1 day, 1:07:10 time: 0.4010 data_time: 0.0198 memory: 17006 grad_norm: 9.0332 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6153 loss: 1.6153 2022/07/29 17:30:32 - mmengine - INFO - Epoch(train) [123][2440/3757] lr: 2.3504e-03 eta: 1 day, 1:07:06 time: 0.4464 data_time: 0.0217 memory: 17006 grad_norm: 9.3073 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6046 loss: 1.6046 2022/07/29 17:30:40 - mmengine - INFO - Epoch(train) [123][2460/3757] lr: 2.3504e-03 eta: 1 day, 1:06:55 time: 0.4041 data_time: 0.0174 memory: 17006 grad_norm: 9.3893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8283 loss: 1.8283 2022/07/29 17:30:48 - mmengine - INFO - Epoch(train) [123][2480/3757] lr: 2.3504e-03 eta: 1 day, 1:06:45 time: 0.4132 data_time: 0.0215 memory: 17006 grad_norm: 9.4265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4733 loss: 1.4733 2022/07/29 17:30:56 - mmengine - INFO - Epoch(train) [123][2500/3757] lr: 2.3504e-03 eta: 1 day, 1:06:34 time: 0.4016 data_time: 0.0181 memory: 17006 grad_norm: 9.4980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6986 loss: 1.6986 2022/07/29 17:31:06 - mmengine - INFO - Epoch(train) [123][2520/3757] lr: 2.3504e-03 eta: 1 day, 1:06:33 time: 0.4655 data_time: 0.0193 memory: 17006 grad_norm: 8.6829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5601 loss: 1.5601 2022/07/29 17:31:14 - mmengine - INFO - Epoch(train) [123][2540/3757] lr: 2.3504e-03 eta: 1 day, 1:06:27 time: 0.4352 data_time: 0.0208 memory: 17006 grad_norm: 9.3255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6333 loss: 1.6333 2022/07/29 17:31:22 - mmengine - INFO - Epoch(train) [123][2560/3757] lr: 2.3504e-03 eta: 1 day, 1:06:17 time: 0.4048 data_time: 0.0206 memory: 17006 grad_norm: 9.3379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9828 loss: 1.9828 2022/07/29 17:31:31 - mmengine - INFO - Epoch(train) [123][2580/3757] lr: 2.3504e-03 eta: 1 day, 1:06:09 time: 0.4236 data_time: 0.0198 memory: 17006 grad_norm: 9.4564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7654 loss: 1.7654 2022/07/29 17:31:39 - mmengine - INFO - Epoch(train) [123][2600/3757] lr: 2.3504e-03 eta: 1 day, 1:05:58 time: 0.4057 data_time: 0.0207 memory: 17006 grad_norm: 9.1889 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5234 loss: 1.5234 2022/07/29 17:31:48 - mmengine - INFO - Epoch(train) [123][2620/3757] lr: 2.3504e-03 eta: 1 day, 1:05:52 time: 0.4317 data_time: 0.0189 memory: 17006 grad_norm: 9.3672 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6347 loss: 1.6347 2022/07/29 17:31:56 - mmengine - INFO - Epoch(train) [123][2640/3757] lr: 2.3504e-03 eta: 1 day, 1:05:41 time: 0.4060 data_time: 0.0198 memory: 17006 grad_norm: 9.2660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3893 loss: 1.3893 2022/07/29 17:31:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:32:04 - mmengine - INFO - Epoch(train) [123][2660/3757] lr: 2.3504e-03 eta: 1 day, 1:05:30 time: 0.4023 data_time: 0.0176 memory: 17006 grad_norm: 8.7759 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6030 loss: 1.6030 2022/07/29 17:32:13 - mmengine - INFO - Epoch(train) [123][2680/3757] lr: 2.3504e-03 eta: 1 day, 1:05:24 time: 0.4381 data_time: 0.0237 memory: 17006 grad_norm: 9.3764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4620 loss: 1.4620 2022/07/29 17:32:21 - mmengine - INFO - Epoch(train) [123][2700/3757] lr: 2.3504e-03 eta: 1 day, 1:05:13 time: 0.4046 data_time: 0.0167 memory: 17006 grad_norm: 9.0911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6363 loss: 1.6363 2022/07/29 17:32:30 - mmengine - INFO - Epoch(train) [123][2720/3757] lr: 2.3504e-03 eta: 1 day, 1:05:09 time: 0.4454 data_time: 0.0319 memory: 17006 grad_norm: 9.5462 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5993 loss: 1.5993 2022/07/29 17:32:38 - mmengine - INFO - Epoch(train) [123][2740/3757] lr: 2.3504e-03 eta: 1 day, 1:05:03 time: 0.4289 data_time: 0.0175 memory: 17006 grad_norm: 9.3351 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6339 loss: 1.6339 2022/07/29 17:32:46 - mmengine - INFO - Epoch(train) [123][2760/3757] lr: 2.3504e-03 eta: 1 day, 1:04:52 time: 0.4054 data_time: 0.0206 memory: 17006 grad_norm: 8.8443 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7104 loss: 1.7104 2022/07/29 17:32:55 - mmengine - INFO - Epoch(train) [123][2780/3757] lr: 2.3504e-03 eta: 1 day, 1:04:44 time: 0.4218 data_time: 0.0188 memory: 17006 grad_norm: 9.1296 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5864 loss: 1.5864 2022/07/29 17:33:03 - mmengine - INFO - Epoch(train) [123][2800/3757] lr: 2.3504e-03 eta: 1 day, 1:04:33 time: 0.4041 data_time: 0.0208 memory: 17006 grad_norm: 9.0386 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5334 loss: 1.5334 2022/07/29 17:33:12 - mmengine - INFO - Epoch(train) [123][2820/3757] lr: 2.3504e-03 eta: 1 day, 1:04:27 time: 0.4330 data_time: 0.0211 memory: 17006 grad_norm: 9.2757 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8390 loss: 1.8390 2022/07/29 17:33:20 - mmengine - INFO - Epoch(train) [123][2840/3757] lr: 2.3504e-03 eta: 1 day, 1:04:15 time: 0.4041 data_time: 0.0213 memory: 17006 grad_norm: 9.2847 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7103 loss: 1.7103 2022/07/29 17:33:28 - mmengine - INFO - Epoch(train) [123][2860/3757] lr: 2.3504e-03 eta: 1 day, 1:04:07 time: 0.4194 data_time: 0.0179 memory: 17006 grad_norm: 9.8274 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5907 loss: 1.5907 2022/07/29 17:33:36 - mmengine - INFO - Epoch(train) [123][2880/3757] lr: 2.3504e-03 eta: 1 day, 1:03:56 time: 0.4056 data_time: 0.0217 memory: 17006 grad_norm: 9.1020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9730 loss: 1.9730 2022/07/29 17:33:44 - mmengine - INFO - Epoch(train) [123][2900/3757] lr: 2.3504e-03 eta: 1 day, 1:03:45 time: 0.4007 data_time: 0.0167 memory: 17006 grad_norm: 8.9285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2423 loss: 1.2423 2022/07/29 17:33:53 - mmengine - INFO - Epoch(train) [123][2920/3757] lr: 2.3504e-03 eta: 1 day, 1:03:40 time: 0.4401 data_time: 0.0230 memory: 17006 grad_norm: 9.3250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9051 loss: 1.9051 2022/07/29 17:34:01 - mmengine - INFO - Epoch(train) [123][2940/3757] lr: 2.3504e-03 eta: 1 day, 1:03:29 time: 0.4030 data_time: 0.0179 memory: 17006 grad_norm: 9.5961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6610 loss: 1.6610 2022/07/29 17:34:10 - mmengine - INFO - Epoch(train) [123][2960/3757] lr: 2.3504e-03 eta: 1 day, 1:03:19 time: 0.4147 data_time: 0.0222 memory: 17006 grad_norm: 9.2845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6431 loss: 1.6431 2022/07/29 17:34:18 - mmengine - INFO - Epoch(train) [123][2980/3757] lr: 2.3504e-03 eta: 1 day, 1:03:08 time: 0.4036 data_time: 0.0179 memory: 17006 grad_norm: 9.0098 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4985 loss: 1.4985 2022/07/29 17:34:26 - mmengine - INFO - Epoch(train) [123][3000/3757] lr: 2.3504e-03 eta: 1 day, 1:02:57 time: 0.4039 data_time: 0.0199 memory: 17006 grad_norm: 9.3189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6289 loss: 1.6289 2022/07/29 17:34:34 - mmengine - INFO - Epoch(train) [123][3020/3757] lr: 2.3504e-03 eta: 1 day, 1:02:48 time: 0.4165 data_time: 0.0194 memory: 17006 grad_norm: 9.1182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6350 loss: 1.6350 2022/07/29 17:34:42 - mmengine - INFO - Epoch(train) [123][3040/3757] lr: 2.3504e-03 eta: 1 day, 1:02:37 time: 0.4042 data_time: 0.0212 memory: 17006 grad_norm: 9.5304 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7397 loss: 1.7397 2022/07/29 17:34:51 - mmengine - INFO - Epoch(train) [123][3060/3757] lr: 2.3504e-03 eta: 1 day, 1:02:34 time: 0.4520 data_time: 0.0197 memory: 17006 grad_norm: 9.4091 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6274 loss: 1.6274 2022/07/29 17:34:59 - mmengine - INFO - Epoch(train) [123][3080/3757] lr: 2.3504e-03 eta: 1 day, 1:02:24 time: 0.4059 data_time: 0.0200 memory: 17006 grad_norm: 9.3182 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6085 loss: 1.6085 2022/07/29 17:35:08 - mmengine - INFO - Epoch(train) [123][3100/3757] lr: 2.3504e-03 eta: 1 day, 1:02:17 time: 0.4324 data_time: 0.0185 memory: 17006 grad_norm: 9.3672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8457 loss: 1.8457 2022/07/29 17:35:16 - mmengine - INFO - Epoch(train) [123][3120/3757] lr: 2.3504e-03 eta: 1 day, 1:02:07 time: 0.4047 data_time: 0.0221 memory: 17006 grad_norm: 9.1650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6645 loss: 1.6645 2022/07/29 17:35:24 - mmengine - INFO - Epoch(train) [123][3140/3757] lr: 2.3504e-03 eta: 1 day, 1:01:56 time: 0.4069 data_time: 0.0178 memory: 17006 grad_norm: 9.2160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3766 loss: 1.3766 2022/07/29 17:35:33 - mmengine - INFO - Epoch(train) [123][3160/3757] lr: 2.3504e-03 eta: 1 day, 1:01:48 time: 0.4217 data_time: 0.0225 memory: 17006 grad_norm: 9.5472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5507 loss: 1.5507 2022/07/29 17:35:41 - mmengine - INFO - Epoch(train) [123][3180/3757] lr: 2.3504e-03 eta: 1 day, 1:01:37 time: 0.4039 data_time: 0.0183 memory: 17006 grad_norm: 9.2272 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4957 loss: 1.4957 2022/07/29 17:35:50 - mmengine - INFO - Epoch(train) [123][3200/3757] lr: 2.3504e-03 eta: 1 day, 1:01:37 time: 0.4702 data_time: 0.0217 memory: 17006 grad_norm: 9.1828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5429 loss: 1.5429 2022/07/29 17:35:58 - mmengine - INFO - Epoch(train) [123][3220/3757] lr: 2.3504e-03 eta: 1 day, 1:01:26 time: 0.4056 data_time: 0.0202 memory: 17006 grad_norm: 9.2782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3971 loss: 1.3971 2022/07/29 17:36:07 - mmengine - INFO - Epoch(train) [123][3240/3757] lr: 2.3504e-03 eta: 1 day, 1:01:15 time: 0.4035 data_time: 0.0201 memory: 17006 grad_norm: 9.0916 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8162 loss: 1.8162 2022/07/29 17:36:15 - mmengine - INFO - Epoch(train) [123][3260/3757] lr: 2.3504e-03 eta: 1 day, 1:01:07 time: 0.4198 data_time: 0.0191 memory: 17006 grad_norm: 8.9196 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4352 loss: 1.4352 2022/07/29 17:36:23 - mmengine - INFO - Epoch(train) [123][3280/3757] lr: 2.3504e-03 eta: 1 day, 1:00:57 time: 0.4097 data_time: 0.0220 memory: 17006 grad_norm: 8.8883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4577 loss: 1.4577 2022/07/29 17:36:32 - mmengine - INFO - Epoch(train) [123][3300/3757] lr: 2.3504e-03 eta: 1 day, 1:00:53 time: 0.4488 data_time: 0.0179 memory: 17006 grad_norm: 9.0834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5602 loss: 1.5602 2022/07/29 17:36:40 - mmengine - INFO - Epoch(train) [123][3320/3757] lr: 2.3504e-03 eta: 1 day, 1:00:43 time: 0.4083 data_time: 0.0208 memory: 17006 grad_norm: 8.9421 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6569 loss: 1.6569 2022/07/29 17:36:50 - mmengine - INFO - Epoch(train) [123][3340/3757] lr: 2.3504e-03 eta: 1 day, 1:00:45 time: 0.4793 data_time: 0.0176 memory: 17006 grad_norm: 9.0783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6204 loss: 1.6204 2022/07/29 17:36:58 - mmengine - INFO - Epoch(train) [123][3360/3757] lr: 2.3504e-03 eta: 1 day, 1:00:34 time: 0.4084 data_time: 0.0216 memory: 17006 grad_norm: 9.4509 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7402 loss: 1.7402 2022/07/29 17:37:06 - mmengine - INFO - Epoch(train) [123][3380/3757] lr: 2.3504e-03 eta: 1 day, 1:00:23 time: 0.4024 data_time: 0.0184 memory: 17006 grad_norm: 9.1442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6216 loss: 1.6216 2022/07/29 17:37:15 - mmengine - INFO - Epoch(train) [123][3400/3757] lr: 2.3504e-03 eta: 1 day, 1:00:14 time: 0.4139 data_time: 0.0212 memory: 17006 grad_norm: 9.3554 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6804 loss: 1.6804 2022/07/29 17:37:23 - mmengine - INFO - Epoch(train) [123][3420/3757] lr: 2.3504e-03 eta: 1 day, 1:00:05 time: 0.4161 data_time: 0.0183 memory: 17006 grad_norm: 9.0959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5448 loss: 1.5448 2022/07/29 17:37:31 - mmengine - INFO - Epoch(train) [123][3440/3757] lr: 2.3504e-03 eta: 1 day, 0:59:56 time: 0.4163 data_time: 0.0212 memory: 17006 grad_norm: 9.2428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4709 loss: 1.4709 2022/07/29 17:37:39 - mmengine - INFO - Epoch(train) [123][3460/3757] lr: 2.3504e-03 eta: 1 day, 0:59:46 time: 0.4090 data_time: 0.0188 memory: 17006 grad_norm: 9.2982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6408 loss: 1.6408 2022/07/29 17:37:48 - mmengine - INFO - Epoch(train) [123][3480/3757] lr: 2.3504e-03 eta: 1 day, 0:59:36 time: 0.4123 data_time: 0.0204 memory: 17006 grad_norm: 9.0119 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6823 loss: 1.6823 2022/07/29 17:37:56 - mmengine - INFO - Epoch(train) [123][3500/3757] lr: 2.3504e-03 eta: 1 day, 0:59:25 time: 0.4034 data_time: 0.0178 memory: 17006 grad_norm: 9.5484 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4628 loss: 1.4628 2022/07/29 17:38:05 - mmengine - INFO - Epoch(train) [123][3520/3757] lr: 2.3504e-03 eta: 1 day, 0:59:22 time: 0.4509 data_time: 0.0214 memory: 17006 grad_norm: 9.2614 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6005 loss: 1.6005 2022/07/29 17:38:13 - mmengine - INFO - Epoch(train) [123][3540/3757] lr: 2.3504e-03 eta: 1 day, 0:59:13 time: 0.4196 data_time: 0.0198 memory: 17006 grad_norm: 9.6411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7054 loss: 1.7054 2022/07/29 17:38:21 - mmengine - INFO - Epoch(train) [123][3560/3757] lr: 2.3504e-03 eta: 1 day, 0:59:03 time: 0.4080 data_time: 0.0227 memory: 17006 grad_norm: 9.4101 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7197 loss: 1.7197 2022/07/29 17:38:30 - mmengine - INFO - Epoch(train) [123][3580/3757] lr: 2.3504e-03 eta: 1 day, 0:58:54 time: 0.4173 data_time: 0.0177 memory: 17006 grad_norm: 8.7825 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3096 loss: 1.3096 2022/07/29 17:38:39 - mmengine - INFO - Epoch(train) [123][3600/3757] lr: 2.3504e-03 eta: 1 day, 0:58:49 time: 0.4387 data_time: 0.0217 memory: 17006 grad_norm: 9.0999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4591 loss: 1.4591 2022/07/29 17:38:47 - mmengine - INFO - Epoch(train) [123][3620/3757] lr: 2.3504e-03 eta: 1 day, 0:58:38 time: 0.4017 data_time: 0.0185 memory: 17006 grad_norm: 9.4162 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7307 loss: 1.7307 2022/07/29 17:38:55 - mmengine - INFO - Epoch(train) [123][3640/3757] lr: 2.3504e-03 eta: 1 day, 0:58:30 time: 0.4241 data_time: 0.0216 memory: 17006 grad_norm: 9.0892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7992 loss: 1.7992 2022/07/29 17:38:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:39:03 - mmengine - INFO - Epoch(train) [123][3660/3757] lr: 2.3504e-03 eta: 1 day, 0:58:19 time: 0.4039 data_time: 0.0181 memory: 17006 grad_norm: 8.8433 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8172 loss: 1.8172 2022/07/29 17:39:12 - mmengine - INFO - Epoch(train) [123][3680/3757] lr: 2.3504e-03 eta: 1 day, 0:58:14 time: 0.4425 data_time: 0.0233 memory: 17006 grad_norm: 9.3798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4508 loss: 1.4508 2022/07/29 17:39:21 - mmengine - INFO - Epoch(train) [123][3700/3757] lr: 2.3504e-03 eta: 1 day, 0:58:06 time: 0.4189 data_time: 0.0168 memory: 17006 grad_norm: 9.0832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7066 loss: 1.7066 2022/07/29 17:39:29 - mmengine - INFO - Epoch(train) [123][3720/3757] lr: 2.3504e-03 eta: 1 day, 0:58:00 time: 0.4372 data_time: 0.0239 memory: 17006 grad_norm: 8.8422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4826 loss: 1.4826 2022/07/29 17:39:37 - mmengine - INFO - Epoch(train) [123][3740/3757] lr: 2.3504e-03 eta: 1 day, 0:57:49 time: 0.4015 data_time: 0.0172 memory: 17006 grad_norm: 9.3157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4330 loss: 1.4330 2022/07/29 17:39:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:39:44 - mmengine - INFO - Epoch(train) [123][3757/3757] lr: 2.3504e-03 eta: 1 day, 0:57:49 time: 0.3953 data_time: 0.0211 memory: 17006 grad_norm: 9.0652 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6388 loss: 1.6388 2022/07/29 17:39:44 - mmengine - INFO - Saving checkpoint at 123 epochs 2022/07/29 17:39:59 - mmengine - INFO - Epoch(train) [124][20/3757] lr: 2.2768e-03 eta: 1 day, 0:56:41 time: 0.4551 data_time: 0.0701 memory: 17006 grad_norm: 9.1398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5526 loss: 1.5526 2022/07/29 17:40:07 - mmengine - INFO - Epoch(train) [124][40/3757] lr: 2.2768e-03 eta: 1 day, 0:56:30 time: 0.4051 data_time: 0.0221 memory: 17006 grad_norm: 8.7986 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9257 loss: 1.9257 2022/07/29 17:40:17 - mmengine - INFO - Epoch(train) [124][60/3757] lr: 2.2768e-03 eta: 1 day, 0:56:27 time: 0.4513 data_time: 0.0216 memory: 17006 grad_norm: 8.9299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4582 loss: 1.4582 2022/07/29 17:40:25 - mmengine - INFO - Epoch(train) [124][80/3757] lr: 2.2768e-03 eta: 1 day, 0:56:17 time: 0.4054 data_time: 0.0215 memory: 17006 grad_norm: 9.1602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4427 loss: 1.4427 2022/07/29 17:40:33 - mmengine - INFO - Epoch(train) [124][100/3757] lr: 2.2768e-03 eta: 1 day, 0:56:10 time: 0.4308 data_time: 0.0203 memory: 17006 grad_norm: 8.9240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4641 loss: 1.4641 2022/07/29 17:40:41 - mmengine - INFO - Epoch(train) [124][120/3757] lr: 2.2768e-03 eta: 1 day, 0:56:00 time: 0.4077 data_time: 0.0222 memory: 17006 grad_norm: 9.1952 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7474 loss: 1.7474 2022/07/29 17:40:50 - mmengine - INFO - Epoch(train) [124][140/3757] lr: 2.2768e-03 eta: 1 day, 0:55:54 time: 0.4352 data_time: 0.0219 memory: 17006 grad_norm: 9.6496 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5118 loss: 1.5118 2022/07/29 17:40:58 - mmengine - INFO - Epoch(train) [124][160/3757] lr: 2.2768e-03 eta: 1 day, 0:55:43 time: 0.4048 data_time: 0.0203 memory: 17006 grad_norm: 9.5070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7524 loss: 1.7524 2022/07/29 17:41:06 - mmengine - INFO - Epoch(train) [124][180/3757] lr: 2.2768e-03 eta: 1 day, 0:55:32 time: 0.4042 data_time: 0.0203 memory: 17006 grad_norm: 9.4760 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5794 loss: 1.5794 2022/07/29 17:41:15 - mmengine - INFO - Epoch(train) [124][200/3757] lr: 2.2768e-03 eta: 1 day, 0:55:22 time: 0.4092 data_time: 0.0206 memory: 17006 grad_norm: 9.0050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8995 loss: 1.8995 2022/07/29 17:41:23 - mmengine - INFO - Epoch(train) [124][220/3757] lr: 2.2768e-03 eta: 1 day, 0:55:14 time: 0.4226 data_time: 0.0215 memory: 17006 grad_norm: 9.0892 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3643 loss: 1.3643 2022/07/29 17:41:31 - mmengine - INFO - Epoch(train) [124][240/3757] lr: 2.2768e-03 eta: 1 day, 0:55:05 time: 0.4103 data_time: 0.0217 memory: 17006 grad_norm: 9.0516 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6998 loss: 1.6998 2022/07/29 17:41:40 - mmengine - INFO - Epoch(train) [124][260/3757] lr: 2.2768e-03 eta: 1 day, 0:54:55 time: 0.4147 data_time: 0.0196 memory: 17006 grad_norm: 8.9456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5951 loss: 1.5951 2022/07/29 17:41:48 - mmengine - INFO - Epoch(train) [124][280/3757] lr: 2.2768e-03 eta: 1 day, 0:54:45 time: 0.4044 data_time: 0.0206 memory: 17006 grad_norm: 9.3724 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8718 loss: 1.8718 2022/07/29 17:41:56 - mmengine - INFO - Epoch(train) [124][300/3757] lr: 2.2768e-03 eta: 1 day, 0:54:34 time: 0.4062 data_time: 0.0199 memory: 17006 grad_norm: 9.0237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8294 loss: 1.8294 2022/07/29 17:42:04 - mmengine - INFO - Epoch(train) [124][320/3757] lr: 2.2768e-03 eta: 1 day, 0:54:26 time: 0.4236 data_time: 0.0218 memory: 17006 grad_norm: 9.5254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7634 loss: 1.7634 2022/07/29 17:42:13 - mmengine - INFO - Epoch(train) [124][340/3757] lr: 2.2768e-03 eta: 1 day, 0:54:16 time: 0.4086 data_time: 0.0209 memory: 17006 grad_norm: 9.5789 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5214 loss: 1.5214 2022/07/29 17:42:21 - mmengine - INFO - Epoch(train) [124][360/3757] lr: 2.2768e-03 eta: 1 day, 0:54:07 time: 0.4159 data_time: 0.0216 memory: 17006 grad_norm: 9.4706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7685 loss: 1.7685 2022/07/29 17:42:30 - mmengine - INFO - Epoch(train) [124][380/3757] lr: 2.2768e-03 eta: 1 day, 0:54:01 time: 0.4318 data_time: 0.0201 memory: 17006 grad_norm: 9.3672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6090 loss: 1.6090 2022/07/29 17:42:38 - mmengine - INFO - Epoch(train) [124][400/3757] lr: 2.2768e-03 eta: 1 day, 0:53:50 time: 0.4014 data_time: 0.0193 memory: 17006 grad_norm: 9.1394 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6806 loss: 1.6806 2022/07/29 17:42:46 - mmengine - INFO - Epoch(train) [124][420/3757] lr: 2.2768e-03 eta: 1 day, 0:53:41 time: 0.4192 data_time: 0.0222 memory: 17006 grad_norm: 9.5214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8439 loss: 1.8439 2022/07/29 17:42:54 - mmengine - INFO - Epoch(train) [124][440/3757] lr: 2.2768e-03 eta: 1 day, 0:53:31 time: 0.4083 data_time: 0.0197 memory: 17006 grad_norm: 9.4368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6793 loss: 1.6793 2022/07/29 17:43:03 - mmengine - INFO - Epoch(train) [124][460/3757] lr: 2.2768e-03 eta: 1 day, 0:53:30 time: 0.4611 data_time: 0.0224 memory: 17006 grad_norm: 9.2762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6934 loss: 1.6934 2022/07/29 17:43:12 - mmengine - INFO - Epoch(train) [124][480/3757] lr: 2.2768e-03 eta: 1 day, 0:53:19 time: 0.4073 data_time: 0.0218 memory: 17006 grad_norm: 9.3526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5711 loss: 1.5711 2022/07/29 17:43:20 - mmengine - INFO - Epoch(train) [124][500/3757] lr: 2.2768e-03 eta: 1 day, 0:53:13 time: 0.4322 data_time: 0.0217 memory: 17006 grad_norm: 9.1886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6787 loss: 1.6787 2022/07/29 17:43:28 - mmengine - INFO - Epoch(train) [124][520/3757] lr: 2.2768e-03 eta: 1 day, 0:53:02 time: 0.4065 data_time: 0.0220 memory: 17006 grad_norm: 9.1912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5067 loss: 1.5067 2022/07/29 17:43:37 - mmengine - INFO - Epoch(train) [124][540/3757] lr: 2.2768e-03 eta: 1 day, 0:52:52 time: 0.4047 data_time: 0.0210 memory: 17006 grad_norm: 9.4931 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7339 loss: 1.7339 2022/07/29 17:43:45 - mmengine - INFO - Epoch(train) [124][560/3757] lr: 2.2768e-03 eta: 1 day, 0:52:43 time: 0.4156 data_time: 0.0222 memory: 17006 grad_norm: 8.9535 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6731 loss: 1.6731 2022/07/29 17:43:53 - mmengine - INFO - Epoch(train) [124][580/3757] lr: 2.2768e-03 eta: 1 day, 0:52:34 time: 0.4140 data_time: 0.0223 memory: 17006 grad_norm: 9.2393 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4402 loss: 1.4402 2022/07/29 17:44:02 - mmengine - INFO - Epoch(train) [124][600/3757] lr: 2.2768e-03 eta: 1 day, 0:52:29 time: 0.4451 data_time: 0.0201 memory: 17006 grad_norm: 9.3529 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6075 loss: 1.6075 2022/07/29 17:44:11 - mmengine - INFO - Epoch(train) [124][620/3757] lr: 2.2768e-03 eta: 1 day, 0:52:22 time: 0.4255 data_time: 0.0238 memory: 17006 grad_norm: 9.6379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9802 loss: 1.9802 2022/07/29 17:44:20 - mmengine - INFO - Epoch(train) [124][640/3757] lr: 2.2768e-03 eta: 1 day, 0:52:19 time: 0.4523 data_time: 0.0228 memory: 17006 grad_norm: 9.0052 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3416 loss: 1.3416 2022/07/29 17:44:28 - mmengine - INFO - Epoch(train) [124][660/3757] lr: 2.2768e-03 eta: 1 day, 0:52:08 time: 0.4035 data_time: 0.0196 memory: 17006 grad_norm: 9.4163 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6480 loss: 1.6480 2022/07/29 17:44:36 - mmengine - INFO - Epoch(train) [124][680/3757] lr: 2.2768e-03 eta: 1 day, 0:51:58 time: 0.4086 data_time: 0.0208 memory: 17006 grad_norm: 8.9641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6235 loss: 1.6235 2022/07/29 17:44:45 - mmengine - INFO - Epoch(train) [124][700/3757] lr: 2.2768e-03 eta: 1 day, 0:51:54 time: 0.4498 data_time: 0.0205 memory: 17006 grad_norm: 9.1960 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6444 loss: 1.6444 2022/07/29 17:44:53 - mmengine - INFO - Epoch(train) [124][720/3757] lr: 2.2768e-03 eta: 1 day, 0:51:45 time: 0.4130 data_time: 0.0222 memory: 17006 grad_norm: 9.2500 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8891 loss: 1.8891 2022/07/29 17:45:02 - mmengine - INFO - Epoch(train) [124][740/3757] lr: 2.2768e-03 eta: 1 day, 0:51:40 time: 0.4410 data_time: 0.0209 memory: 17006 grad_norm: 9.0654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4112 loss: 1.4112 2022/07/29 17:45:11 - mmengine - INFO - Epoch(train) [124][760/3757] lr: 2.2768e-03 eta: 1 day, 0:51:31 time: 0.4159 data_time: 0.0244 memory: 17006 grad_norm: 9.1124 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3883 loss: 1.3883 2022/07/29 17:45:19 - mmengine - INFO - Epoch(train) [124][780/3757] lr: 2.2768e-03 eta: 1 day, 0:51:25 time: 0.4328 data_time: 0.0201 memory: 17006 grad_norm: 9.3237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9731 loss: 1.9731 2022/07/29 17:45:27 - mmengine - INFO - Epoch(train) [124][800/3757] lr: 2.2768e-03 eta: 1 day, 0:51:13 time: 0.4027 data_time: 0.0202 memory: 17006 grad_norm: 8.9315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4449 loss: 1.4449 2022/07/29 17:45:35 - mmengine - INFO - Epoch(train) [124][820/3757] lr: 2.2768e-03 eta: 1 day, 0:51:03 time: 0.4087 data_time: 0.0227 memory: 17006 grad_norm: 9.2194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7420 loss: 1.7420 2022/07/29 17:45:44 - mmengine - INFO - Epoch(train) [124][840/3757] lr: 2.2768e-03 eta: 1 day, 0:50:56 time: 0.4263 data_time: 0.0222 memory: 17006 grad_norm: 9.3093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6915 loss: 1.6915 2022/07/29 17:45:52 - mmengine - INFO - Epoch(train) [124][860/3757] lr: 2.2768e-03 eta: 1 day, 0:50:47 time: 0.4148 data_time: 0.0221 memory: 17006 grad_norm: 9.7409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4922 loss: 1.4922 2022/07/29 17:46:01 - mmengine - INFO - Epoch(train) [124][880/3757] lr: 2.2768e-03 eta: 1 day, 0:50:38 time: 0.4175 data_time: 0.0209 memory: 17006 grad_norm: 9.0150 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8010 loss: 1.8010 2022/07/29 17:46:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:46:09 - mmengine - INFO - Epoch(train) [124][900/3757] lr: 2.2768e-03 eta: 1 day, 0:50:28 time: 0.4095 data_time: 0.0215 memory: 17006 grad_norm: 9.2917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6301 loss: 1.6301 2022/07/29 17:46:17 - mmengine - INFO - Epoch(train) [124][920/3757] lr: 2.2768e-03 eta: 1 day, 0:50:18 time: 0.4045 data_time: 0.0198 memory: 17006 grad_norm: 9.5630 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8499 loss: 1.8499 2022/07/29 17:46:26 - mmengine - INFO - Epoch(train) [124][940/3757] lr: 2.2768e-03 eta: 1 day, 0:50:10 time: 0.4217 data_time: 0.0221 memory: 17006 grad_norm: 8.9910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5609 loss: 1.5609 2022/07/29 17:46:34 - mmengine - INFO - Epoch(train) [124][960/3757] lr: 2.2768e-03 eta: 1 day, 0:50:06 time: 0.4468 data_time: 0.0228 memory: 17006 grad_norm: 9.3228 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9194 loss: 1.9194 2022/07/29 17:46:43 - mmengine - INFO - Epoch(train) [124][980/3757] lr: 2.2768e-03 eta: 1 day, 0:49:57 time: 0.4152 data_time: 0.0213 memory: 17006 grad_norm: 8.8891 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8018 loss: 1.8018 2022/07/29 17:46:51 - mmengine - INFO - Epoch(train) [124][1000/3757] lr: 2.2768e-03 eta: 1 day, 0:49:46 time: 0.4083 data_time: 0.0219 memory: 17006 grad_norm: 9.5978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3259 loss: 1.3259 2022/07/29 17:46:59 - mmengine - INFO - Epoch(train) [124][1020/3757] lr: 2.2768e-03 eta: 1 day, 0:49:39 time: 0.4242 data_time: 0.0244 memory: 17006 grad_norm: 9.0674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4371 loss: 1.4371 2022/07/29 17:47:08 - mmengine - INFO - Epoch(train) [124][1040/3757] lr: 2.2768e-03 eta: 1 day, 0:49:28 time: 0.4041 data_time: 0.0199 memory: 17006 grad_norm: 9.1464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5537 loss: 1.5537 2022/07/29 17:47:16 - mmengine - INFO - Epoch(train) [124][1060/3757] lr: 2.2768e-03 eta: 1 day, 0:49:18 time: 0.4068 data_time: 0.0212 memory: 17006 grad_norm: 9.3086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4240 loss: 1.4240 2022/07/29 17:47:24 - mmengine - INFO - Epoch(train) [124][1080/3757] lr: 2.2768e-03 eta: 1 day, 0:49:11 time: 0.4294 data_time: 0.0223 memory: 17006 grad_norm: 9.7599 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7269 loss: 1.7269 2022/07/29 17:47:33 - mmengine - INFO - Epoch(train) [124][1100/3757] lr: 2.2768e-03 eta: 1 day, 0:49:01 time: 0.4118 data_time: 0.0211 memory: 17006 grad_norm: 9.3933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8168 loss: 1.8168 2022/07/29 17:47:41 - mmengine - INFO - Epoch(train) [124][1120/3757] lr: 2.2768e-03 eta: 1 day, 0:48:52 time: 0.4112 data_time: 0.0207 memory: 17006 grad_norm: 9.3282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6592 loss: 1.6592 2022/07/29 17:47:49 - mmengine - INFO - Epoch(train) [124][1140/3757] lr: 2.2768e-03 eta: 1 day, 0:48:41 time: 0.4033 data_time: 0.0192 memory: 17006 grad_norm: 9.3076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5421 loss: 1.5421 2022/07/29 17:47:57 - mmengine - INFO - Epoch(train) [124][1160/3757] lr: 2.2768e-03 eta: 1 day, 0:48:30 time: 0.4029 data_time: 0.0196 memory: 17006 grad_norm: 9.4593 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6187 loss: 1.6187 2022/07/29 17:48:05 - mmengine - INFO - Epoch(train) [124][1180/3757] lr: 2.2768e-03 eta: 1 day, 0:48:22 time: 0.4216 data_time: 0.0217 memory: 17006 grad_norm: 9.5544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3793 loss: 1.3793 2022/07/29 17:48:14 - mmengine - INFO - Epoch(train) [124][1200/3757] lr: 2.2768e-03 eta: 1 day, 0:48:12 time: 0.4095 data_time: 0.0222 memory: 17006 grad_norm: 9.4479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6745 loss: 1.6745 2022/07/29 17:48:22 - mmengine - INFO - Epoch(train) [124][1220/3757] lr: 2.2768e-03 eta: 1 day, 0:48:03 time: 0.4191 data_time: 0.0215 memory: 17006 grad_norm: 8.9564 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6290 loss: 1.6290 2022/07/29 17:48:30 - mmengine - INFO - Epoch(train) [124][1240/3757] lr: 2.2768e-03 eta: 1 day, 0:47:55 time: 0.4196 data_time: 0.0217 memory: 17006 grad_norm: 8.9122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5237 loss: 1.5237 2022/07/29 17:48:39 - mmengine - INFO - Epoch(train) [124][1260/3757] lr: 2.2768e-03 eta: 1 day, 0:47:45 time: 0.4065 data_time: 0.0196 memory: 17006 grad_norm: 9.4820 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5209 loss: 1.5209 2022/07/29 17:48:47 - mmengine - INFO - Epoch(train) [124][1280/3757] lr: 2.2768e-03 eta: 1 day, 0:47:35 time: 0.4100 data_time: 0.0201 memory: 17006 grad_norm: 9.3570 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7799 loss: 1.7799 2022/07/29 17:48:55 - mmengine - INFO - Epoch(train) [124][1300/3757] lr: 2.2768e-03 eta: 1 day, 0:47:25 time: 0.4123 data_time: 0.0210 memory: 17006 grad_norm: 9.0968 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6734 loss: 1.6734 2022/07/29 17:49:04 - mmengine - INFO - Epoch(train) [124][1320/3757] lr: 2.2768e-03 eta: 1 day, 0:47:17 time: 0.4215 data_time: 0.0211 memory: 17006 grad_norm: 8.9665 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3247 loss: 1.3247 2022/07/29 17:49:12 - mmengine - INFO - Epoch(train) [124][1340/3757] lr: 2.2768e-03 eta: 1 day, 0:47:10 time: 0.4235 data_time: 0.0220 memory: 17006 grad_norm: 9.2825 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7072 loss: 1.7072 2022/07/29 17:49:20 - mmengine - INFO - Epoch(train) [124][1360/3757] lr: 2.2768e-03 eta: 1 day, 0:47:00 time: 0.4122 data_time: 0.0193 memory: 17006 grad_norm: 8.9853 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5083 loss: 1.5083 2022/07/29 17:49:28 - mmengine - INFO - Epoch(train) [124][1380/3757] lr: 2.2768e-03 eta: 1 day, 0:46:50 time: 0.4043 data_time: 0.0204 memory: 17006 grad_norm: 8.9854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7215 loss: 1.7215 2022/07/29 17:49:37 - mmengine - INFO - Epoch(train) [124][1400/3757] lr: 2.2768e-03 eta: 1 day, 0:46:39 time: 0.4080 data_time: 0.0241 memory: 17006 grad_norm: 9.0172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7800 loss: 1.7800 2022/07/29 17:49:45 - mmengine - INFO - Epoch(train) [124][1420/3757] lr: 2.2768e-03 eta: 1 day, 0:46:30 time: 0.4117 data_time: 0.0213 memory: 17006 grad_norm: 9.1277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7491 loss: 1.7491 2022/07/29 17:49:53 - mmengine - INFO - Epoch(train) [124][1440/3757] lr: 2.2768e-03 eta: 1 day, 0:46:21 time: 0.4150 data_time: 0.0212 memory: 17006 grad_norm: 9.3864 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3608 loss: 1.3608 2022/07/29 17:50:02 - mmengine - INFO - Epoch(train) [124][1460/3757] lr: 2.2768e-03 eta: 1 day, 0:46:12 time: 0.4152 data_time: 0.0215 memory: 17006 grad_norm: 9.3280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5559 loss: 1.5559 2022/07/29 17:50:10 - mmengine - INFO - Epoch(train) [124][1480/3757] lr: 2.2768e-03 eta: 1 day, 0:46:06 time: 0.4337 data_time: 0.0208 memory: 17006 grad_norm: 9.2077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8163 loss: 1.8163 2022/07/29 17:50:18 - mmengine - INFO - Epoch(train) [124][1500/3757] lr: 2.2768e-03 eta: 1 day, 0:45:55 time: 0.4045 data_time: 0.0200 memory: 17006 grad_norm: 9.7528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8527 loss: 1.8527 2022/07/29 17:50:27 - mmengine - INFO - Epoch(train) [124][1520/3757] lr: 2.2768e-03 eta: 1 day, 0:45:46 time: 0.4165 data_time: 0.0208 memory: 17006 grad_norm: 9.5828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7101 loss: 1.7101 2022/07/29 17:50:35 - mmengine - INFO - Epoch(train) [124][1540/3757] lr: 2.2768e-03 eta: 1 day, 0:45:38 time: 0.4204 data_time: 0.0209 memory: 17006 grad_norm: 8.9479 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5816 loss: 1.5816 2022/07/29 17:50:43 - mmengine - INFO - Epoch(train) [124][1560/3757] lr: 2.2768e-03 eta: 1 day, 0:45:29 time: 0.4123 data_time: 0.0215 memory: 17006 grad_norm: 8.9032 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6172 loss: 1.6172 2022/07/29 17:50:52 - mmengine - INFO - Epoch(train) [124][1580/3757] lr: 2.2768e-03 eta: 1 day, 0:45:18 time: 0.4072 data_time: 0.0223 memory: 17006 grad_norm: 8.8828 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8610 loss: 1.8610 2022/07/29 17:51:00 - mmengine - INFO - Epoch(train) [124][1600/3757] lr: 2.2768e-03 eta: 1 day, 0:45:10 time: 0.4169 data_time: 0.0208 memory: 17006 grad_norm: 9.5263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7008 loss: 1.7008 2022/07/29 17:51:08 - mmengine - INFO - Epoch(train) [124][1620/3757] lr: 2.2768e-03 eta: 1 day, 0:44:59 time: 0.4037 data_time: 0.0207 memory: 17006 grad_norm: 9.4300 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6620 loss: 1.6620 2022/07/29 17:51:16 - mmengine - INFO - Epoch(train) [124][1640/3757] lr: 2.2768e-03 eta: 1 day, 0:44:48 time: 0.4047 data_time: 0.0204 memory: 17006 grad_norm: 9.1563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7604 loss: 1.7604 2022/07/29 17:51:25 - mmengine - INFO - Epoch(train) [124][1660/3757] lr: 2.2768e-03 eta: 1 day, 0:44:47 time: 0.4647 data_time: 0.0207 memory: 17006 grad_norm: 10.2615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9910 loss: 1.9910 2022/07/29 17:51:34 - mmengine - INFO - Epoch(train) [124][1680/3757] lr: 2.2768e-03 eta: 1 day, 0:44:36 time: 0.4066 data_time: 0.0210 memory: 17006 grad_norm: 9.3841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6754 loss: 1.6754 2022/07/29 17:51:42 - mmengine - INFO - Epoch(train) [124][1700/3757] lr: 2.2768e-03 eta: 1 day, 0:44:28 time: 0.4173 data_time: 0.0217 memory: 17006 grad_norm: 9.2086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3833 loss: 1.3833 2022/07/29 17:51:50 - mmengine - INFO - Epoch(train) [124][1720/3757] lr: 2.2768e-03 eta: 1 day, 0:44:18 time: 0.4073 data_time: 0.0216 memory: 17006 grad_norm: 9.8354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6984 loss: 1.6984 2022/07/29 17:51:58 - mmengine - INFO - Epoch(train) [124][1740/3757] lr: 2.2768e-03 eta: 1 day, 0:44:07 time: 0.4027 data_time: 0.0208 memory: 17006 grad_norm: 9.3908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4256 loss: 1.4256 2022/07/29 17:52:07 - mmengine - INFO - Epoch(train) [124][1760/3757] lr: 2.2768e-03 eta: 1 day, 0:43:58 time: 0.4165 data_time: 0.0224 memory: 17006 grad_norm: 9.4485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6197 loss: 1.6197 2022/07/29 17:52:15 - mmengine - INFO - Epoch(train) [124][1780/3757] lr: 2.2768e-03 eta: 1 day, 0:43:48 time: 0.4093 data_time: 0.0214 memory: 17006 grad_norm: 9.6735 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5398 loss: 1.5398 2022/07/29 17:52:24 - mmengine - INFO - Epoch(train) [124][1800/3757] lr: 2.2768e-03 eta: 1 day, 0:43:43 time: 0.4406 data_time: 0.0206 memory: 17006 grad_norm: 9.6026 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9974 loss: 1.9974 2022/07/29 17:52:32 - mmengine - INFO - Epoch(train) [124][1820/3757] lr: 2.2768e-03 eta: 1 day, 0:43:32 time: 0.4056 data_time: 0.0207 memory: 17006 grad_norm: 9.2882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8496 loss: 1.8496 2022/07/29 17:52:41 - mmengine - INFO - Epoch(train) [124][1840/3757] lr: 2.2768e-03 eta: 1 day, 0:43:28 time: 0.4443 data_time: 0.0213 memory: 17006 grad_norm: 8.9769 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4726 loss: 1.4726 2022/07/29 17:52:49 - mmengine - INFO - Epoch(train) [124][1860/3757] lr: 2.2768e-03 eta: 1 day, 0:43:17 time: 0.4052 data_time: 0.0207 memory: 17006 grad_norm: 9.5521 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6568 loss: 1.6568 2022/07/29 17:52:57 - mmengine - INFO - Epoch(train) [124][1880/3757] lr: 2.2768e-03 eta: 1 day, 0:43:08 time: 0.4100 data_time: 0.0260 memory: 17006 grad_norm: 9.2984 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5224 loss: 1.5224 2022/07/29 17:53:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 17:53:06 - mmengine - INFO - Epoch(train) [124][1900/3757] lr: 2.2768e-03 eta: 1 day, 0:43:01 time: 0.4299 data_time: 0.0224 memory: 17006 grad_norm: 9.1618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4141 loss: 1.4141 2022/07/29 17:53:14 - mmengine - INFO - Epoch(train) [124][1920/3757] lr: 2.2768e-03 eta: 1 day, 0:42:51 time: 0.4085 data_time: 0.0222 memory: 17006 grad_norm: 9.0476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5245 loss: 1.5245 2022/07/29 17:53:22 - mmengine - INFO - Epoch(train) [124][1940/3757] lr: 2.2768e-03 eta: 1 day, 0:42:41 time: 0.4101 data_time: 0.0197 memory: 17006 grad_norm: 9.3419 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6427 loss: 1.6427 2022/07/29 17:53:30 - mmengine - INFO - Epoch(train) [124][1960/3757] lr: 2.2768e-03 eta: 1 day, 0:42:31 time: 0.4062 data_time: 0.0202 memory: 17006 grad_norm: 9.2107 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6826 loss: 1.6826 2022/07/29 17:53:38 - mmengine - INFO - Epoch(train) [124][1980/3757] lr: 2.2768e-03 eta: 1 day, 0:42:20 time: 0.4044 data_time: 0.0203 memory: 17006 grad_norm: 8.8838 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7218 loss: 1.7218 2022/07/29 17:53:47 - mmengine - INFO - Epoch(train) [124][2000/3757] lr: 2.2768e-03 eta: 1 day, 0:42:12 time: 0.4204 data_time: 0.0205 memory: 17006 grad_norm: 9.5253 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9955 loss: 1.9955 2022/07/29 17:53:55 - mmengine - INFO - Epoch(train) [124][2020/3757] lr: 2.2768e-03 eta: 1 day, 0:42:02 time: 0.4079 data_time: 0.0207 memory: 17006 grad_norm: 9.6849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6703 loss: 1.6703 2022/07/29 17:54:04 - mmengine - INFO - Epoch(train) [124][2040/3757] lr: 2.2768e-03 eta: 1 day, 0:41:59 time: 0.4561 data_time: 0.0212 memory: 17006 grad_norm: 9.3827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5020 loss: 1.5020 2022/07/29 17:54:12 - mmengine - INFO - Epoch(train) [124][2060/3757] lr: 2.2768e-03 eta: 1 day, 0:41:49 time: 0.4067 data_time: 0.0215 memory: 17006 grad_norm: 9.4859 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6941 loss: 1.6941 2022/07/29 17:54:20 - mmengine - INFO - Epoch(train) [124][2080/3757] lr: 2.2768e-03 eta: 1 day, 0:41:38 time: 0.4070 data_time: 0.0217 memory: 17006 grad_norm: 9.4530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8005 loss: 1.8005 2022/07/29 17:54:28 - mmengine - INFO - Epoch(train) [124][2100/3757] lr: 2.2768e-03 eta: 1 day, 0:41:28 time: 0.4020 data_time: 0.0199 memory: 17006 grad_norm: 9.5228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5936 loss: 1.5936 2022/07/29 17:54:37 - mmengine - INFO - Epoch(train) [124][2120/3757] lr: 2.2768e-03 eta: 1 day, 0:41:18 time: 0.4125 data_time: 0.0213 memory: 17006 grad_norm: 9.4144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6589 loss: 1.6589 2022/07/29 17:54:45 - mmengine - INFO - Epoch(train) [124][2140/3757] lr: 2.2768e-03 eta: 1 day, 0:41:10 time: 0.4191 data_time: 0.0205 memory: 17006 grad_norm: 9.4556 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7270 loss: 1.7270 2022/07/29 17:54:53 - mmengine - INFO - Epoch(train) [124][2160/3757] lr: 2.2768e-03 eta: 1 day, 0:41:00 time: 0.4083 data_time: 0.0213 memory: 17006 grad_norm: 9.3932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3608 loss: 1.3608 2022/07/29 17:55:02 - mmengine - INFO - Epoch(train) [124][2180/3757] lr: 2.2768e-03 eta: 1 day, 0:40:50 time: 0.4117 data_time: 0.0209 memory: 17006 grad_norm: 9.3833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4688 loss: 1.4688 2022/07/29 17:55:10 - mmengine - INFO - Epoch(train) [124][2200/3757] lr: 2.2768e-03 eta: 1 day, 0:40:40 time: 0.4069 data_time: 0.0201 memory: 17006 grad_norm: 8.9403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2809 loss: 1.2809 2022/07/29 17:55:18 - mmengine - INFO - Epoch(train) [124][2220/3757] lr: 2.2768e-03 eta: 1 day, 0:40:29 time: 0.4043 data_time: 0.0193 memory: 17006 grad_norm: 9.1802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4523 loss: 1.4523 2022/07/29 17:55:26 - mmengine - INFO - Epoch(train) [124][2240/3757] lr: 2.2768e-03 eta: 1 day, 0:40:22 time: 0.4235 data_time: 0.0324 memory: 17006 grad_norm: 9.3069 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9150 loss: 1.9150 2022/07/29 17:55:35 - mmengine - INFO - Epoch(train) [124][2260/3757] lr: 2.2768e-03 eta: 1 day, 0:40:12 time: 0.4117 data_time: 0.0214 memory: 17006 grad_norm: 9.2144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7687 loss: 1.7687 2022/07/29 17:55:45 - mmengine - INFO - Epoch(train) [124][2280/3757] lr: 2.2768e-03 eta: 1 day, 0:40:18 time: 0.5155 data_time: 0.1108 memory: 17006 grad_norm: 9.8040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6134 loss: 1.6134 2022/07/29 17:55:53 - mmengine - INFO - Epoch(train) [124][2300/3757] lr: 2.2768e-03 eta: 1 day, 0:40:10 time: 0.4246 data_time: 0.0196 memory: 17006 grad_norm: 9.5611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7071 loss: 1.7071 2022/07/29 17:56:02 - mmengine - INFO - Epoch(train) [124][2320/3757] lr: 2.2768e-03 eta: 1 day, 0:40:02 time: 0.4219 data_time: 0.0211 memory: 17006 grad_norm: 9.3775 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3076 loss: 1.3076 2022/07/29 17:56:10 - mmengine - INFO - Epoch(train) [124][2340/3757] lr: 2.2768e-03 eta: 1 day, 0:39:53 time: 0.4144 data_time: 0.0218 memory: 17006 grad_norm: 9.4221 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5096 loss: 1.5096 2022/07/29 17:56:19 - mmengine - INFO - Epoch(train) [124][2360/3757] lr: 2.2768e-03 eta: 1 day, 0:39:45 time: 0.4167 data_time: 0.0324 memory: 17006 grad_norm: 9.0022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6541 loss: 1.6541 2022/07/29 17:56:27 - mmengine - INFO - Epoch(train) [124][2380/3757] lr: 2.2768e-03 eta: 1 day, 0:39:35 time: 0.4129 data_time: 0.0202 memory: 17006 grad_norm: 9.2847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4216 loss: 1.4216 2022/07/29 17:56:35 - mmengine - INFO - Epoch(train) [124][2400/3757] lr: 2.2768e-03 eta: 1 day, 0:39:26 time: 0.4132 data_time: 0.0211 memory: 17006 grad_norm: 9.1013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6182 loss: 1.6182 2022/07/29 17:56:45 - mmengine - INFO - Epoch(train) [124][2420/3757] lr: 2.2768e-03 eta: 1 day, 0:39:30 time: 0.5006 data_time: 0.1092 memory: 17006 grad_norm: 9.4419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7212 loss: 1.7212 2022/07/29 17:56:53 - mmengine - INFO - Epoch(train) [124][2440/3757] lr: 2.2768e-03 eta: 1 day, 0:39:19 time: 0.4043 data_time: 0.0182 memory: 17006 grad_norm: 8.9969 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3836 loss: 1.3836 2022/07/29 17:57:02 - mmengine - INFO - Epoch(train) [124][2460/3757] lr: 2.2768e-03 eta: 1 day, 0:39:10 time: 0.4173 data_time: 0.0225 memory: 17006 grad_norm: 9.3075 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6071 loss: 1.6071 2022/07/29 17:57:10 - mmengine - INFO - Epoch(train) [124][2480/3757] lr: 2.2768e-03 eta: 1 day, 0:39:02 time: 0.4162 data_time: 0.0182 memory: 17006 grad_norm: 9.1486 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4993 loss: 1.4993 2022/07/29 17:57:18 - mmengine - INFO - Epoch(train) [124][2500/3757] lr: 2.2768e-03 eta: 1 day, 0:38:51 time: 0.4020 data_time: 0.0195 memory: 17006 grad_norm: 9.6529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6358 loss: 1.6358 2022/07/29 17:57:29 - mmengine - INFO - Epoch(train) [124][2520/3757] lr: 2.2768e-03 eta: 1 day, 0:38:59 time: 0.5346 data_time: 0.1284 memory: 17006 grad_norm: 9.3970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4069 loss: 1.4069 2022/07/29 17:57:37 - mmengine - INFO - Epoch(train) [124][2540/3757] lr: 2.2768e-03 eta: 1 day, 0:38:49 time: 0.4060 data_time: 0.0195 memory: 17006 grad_norm: 8.9020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6319 loss: 1.6319 2022/07/29 17:57:46 - mmengine - INFO - Epoch(train) [124][2560/3757] lr: 2.2768e-03 eta: 1 day, 0:38:44 time: 0.4403 data_time: 0.0227 memory: 17006 grad_norm: 9.2894 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6543 loss: 1.6543 2022/07/29 17:57:56 - mmengine - INFO - Epoch(train) [124][2580/3757] lr: 2.2768e-03 eta: 1 day, 0:38:50 time: 0.5194 data_time: 0.1346 memory: 17006 grad_norm: 9.0308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4046 loss: 1.4046 2022/07/29 17:58:05 - mmengine - INFO - Epoch(train) [124][2600/3757] lr: 2.2768e-03 eta: 1 day, 0:38:47 time: 0.4561 data_time: 0.0184 memory: 17006 grad_norm: 9.2844 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3829 loss: 1.3829 2022/07/29 17:58:13 - mmengine - INFO - Epoch(train) [124][2620/3757] lr: 2.2768e-03 eta: 1 day, 0:38:36 time: 0.4053 data_time: 0.0209 memory: 17006 grad_norm: 9.4000 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4822 loss: 1.4822 2022/07/29 17:58:22 - mmengine - INFO - Epoch(train) [124][2640/3757] lr: 2.2768e-03 eta: 1 day, 0:38:31 time: 0.4421 data_time: 0.0199 memory: 17006 grad_norm: 9.1647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5193 loss: 1.5193 2022/07/29 17:58:30 - mmengine - INFO - Epoch(train) [124][2660/3757] lr: 2.2768e-03 eta: 1 day, 0:38:21 time: 0.4043 data_time: 0.0207 memory: 17006 grad_norm: 9.1048 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6023 loss: 1.6023 2022/07/29 17:58:41 - mmengine - INFO - Epoch(train) [124][2680/3757] lr: 2.2768e-03 eta: 1 day, 0:38:26 time: 0.5100 data_time: 0.1179 memory: 17006 grad_norm: 9.7099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6328 loss: 1.6328 2022/07/29 17:58:49 - mmengine - INFO - Epoch(train) [124][2700/3757] lr: 2.2768e-03 eta: 1 day, 0:38:15 time: 0.4042 data_time: 0.0192 memory: 17006 grad_norm: 9.2421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6588 loss: 1.6588 2022/07/29 17:58:57 - mmengine - INFO - Epoch(train) [124][2720/3757] lr: 2.2768e-03 eta: 1 day, 0:38:04 time: 0.4046 data_time: 0.0206 memory: 17006 grad_norm: 9.0936 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4499 loss: 1.4499 2022/07/29 17:59:05 - mmengine - INFO - Epoch(train) [124][2740/3757] lr: 2.2768e-03 eta: 1 day, 0:37:56 time: 0.4179 data_time: 0.0210 memory: 17006 grad_norm: 9.0105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/07/29 17:59:13 - mmengine - INFO - Epoch(train) [124][2760/3757] lr: 2.2768e-03 eta: 1 day, 0:37:45 time: 0.4035 data_time: 0.0211 memory: 17006 grad_norm: 8.7941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5738 loss: 1.5738 2022/07/29 17:59:22 - mmengine - INFO - Epoch(train) [124][2780/3757] lr: 2.2768e-03 eta: 1 day, 0:37:39 time: 0.4360 data_time: 0.0210 memory: 17006 grad_norm: 9.1452 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6409 loss: 1.6409 2022/07/29 17:59:30 - mmengine - INFO - Epoch(train) [124][2800/3757] lr: 2.2768e-03 eta: 1 day, 0:37:30 time: 0.4117 data_time: 0.0201 memory: 17006 grad_norm: 9.1616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7052 loss: 1.7052 2022/07/29 17:59:44 - mmengine - INFO - Epoch(train) [124][2820/3757] lr: 2.2768e-03 eta: 1 day, 0:38:00 time: 0.6863 data_time: 0.2952 memory: 17006 grad_norm: 9.4937 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6372 loss: 1.6372 2022/07/29 17:59:52 - mmengine - INFO - Epoch(train) [124][2840/3757] lr: 2.2768e-03 eta: 1 day, 0:37:49 time: 0.4045 data_time: 0.0204 memory: 17006 grad_norm: 9.5936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6661 loss: 1.6661 2022/07/29 18:00:01 - mmengine - INFO - Epoch(train) [124][2860/3757] lr: 2.2768e-03 eta: 1 day, 0:37:42 time: 0.4279 data_time: 0.0235 memory: 17006 grad_norm: 8.9173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4557 loss: 1.4557 2022/07/29 18:00:14 - mmengine - INFO - Epoch(train) [124][2880/3757] lr: 2.2768e-03 eta: 1 day, 0:38:06 time: 0.6438 data_time: 0.0234 memory: 17006 grad_norm: 9.2920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0362 loss: 2.0362 2022/07/29 18:00:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:00:23 - mmengine - INFO - Epoch(train) [124][2900/3757] lr: 2.2768e-03 eta: 1 day, 0:38:05 time: 0.4690 data_time: 0.0258 memory: 17006 grad_norm: 8.9768 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9938 loss: 1.9938 2022/07/29 18:00:40 - mmengine - INFO - Epoch(train) [124][2920/3757] lr: 2.2768e-03 eta: 1 day, 0:39:00 time: 0.8596 data_time: 0.4716 memory: 17006 grad_norm: 9.6321 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7572 loss: 1.7572 2022/07/29 18:00:48 - mmengine - INFO - Epoch(train) [124][2940/3757] lr: 2.2768e-03 eta: 1 day, 0:38:49 time: 0.4026 data_time: 0.0181 memory: 17006 grad_norm: 8.7716 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6360 loss: 1.6360 2022/07/29 18:00:57 - mmengine - INFO - Epoch(train) [124][2960/3757] lr: 2.2768e-03 eta: 1 day, 0:38:39 time: 0.4104 data_time: 0.0210 memory: 17006 grad_norm: 9.2217 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4911 loss: 1.4911 2022/07/29 18:01:05 - mmengine - INFO - Epoch(train) [124][2980/3757] lr: 2.2768e-03 eta: 1 day, 0:38:32 time: 0.4273 data_time: 0.0254 memory: 17006 grad_norm: 9.5084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6396 loss: 1.6396 2022/07/29 18:01:19 - mmengine - INFO - Epoch(train) [124][3000/3757] lr: 2.2768e-03 eta: 1 day, 0:39:06 time: 0.7167 data_time: 0.0233 memory: 17006 grad_norm: 9.4191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7084 loss: 1.7084 2022/07/29 18:01:28 - mmengine - INFO - Epoch(train) [124][3020/3757] lr: 2.2768e-03 eta: 1 day, 0:38:58 time: 0.4199 data_time: 0.0225 memory: 17006 grad_norm: 9.2882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6167 loss: 1.6167 2022/07/29 18:01:36 - mmengine - INFO - Epoch(train) [124][3040/3757] lr: 2.2768e-03 eta: 1 day, 0:38:48 time: 0.4087 data_time: 0.0182 memory: 17006 grad_norm: 9.2194 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6062 loss: 1.6062 2022/07/29 18:01:45 - mmengine - INFO - Epoch(train) [124][3060/3757] lr: 2.2768e-03 eta: 1 day, 0:38:45 time: 0.4609 data_time: 0.0212 memory: 17006 grad_norm: 9.2487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7755 loss: 1.7755 2022/07/29 18:01:53 - mmengine - INFO - Epoch(train) [124][3080/3757] lr: 2.2768e-03 eta: 1 day, 0:38:35 time: 0.4067 data_time: 0.0182 memory: 17006 grad_norm: 8.9708 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5220 loss: 1.5220 2022/07/29 18:02:02 - mmengine - INFO - Epoch(train) [124][3100/3757] lr: 2.2768e-03 eta: 1 day, 0:38:26 time: 0.4165 data_time: 0.0216 memory: 17006 grad_norm: 9.0460 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4773 loss: 1.4773 2022/07/29 18:02:10 - mmengine - INFO - Epoch(train) [124][3120/3757] lr: 2.2768e-03 eta: 1 day, 0:38:15 time: 0.4038 data_time: 0.0180 memory: 17006 grad_norm: 9.6983 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5845 loss: 1.5845 2022/07/29 18:02:18 - mmengine - INFO - Epoch(train) [124][3140/3757] lr: 2.2768e-03 eta: 1 day, 0:38:05 time: 0.4082 data_time: 0.0212 memory: 17006 grad_norm: 9.0665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4325 loss: 1.4325 2022/07/29 18:02:27 - mmengine - INFO - Epoch(train) [124][3160/3757] lr: 2.2768e-03 eta: 1 day, 0:38:02 time: 0.4587 data_time: 0.0189 memory: 17006 grad_norm: 9.1379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4490 loss: 1.4490 2022/07/29 18:02:36 - mmengine - INFO - Epoch(train) [124][3180/3757] lr: 2.2768e-03 eta: 1 day, 0:37:53 time: 0.4140 data_time: 0.0225 memory: 17006 grad_norm: 9.2561 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4814 loss: 1.4814 2022/07/29 18:02:44 - mmengine - INFO - Epoch(train) [124][3200/3757] lr: 2.2768e-03 eta: 1 day, 0:37:46 time: 0.4301 data_time: 0.0203 memory: 17006 grad_norm: 9.2597 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3888 loss: 1.3888 2022/07/29 18:02:52 - mmengine - INFO - Epoch(train) [124][3220/3757] lr: 2.2768e-03 eta: 1 day, 0:37:36 time: 0.4088 data_time: 0.0216 memory: 17006 grad_norm: 9.4257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4894 loss: 1.4894 2022/07/29 18:03:01 - mmengine - INFO - Epoch(train) [124][3240/3757] lr: 2.2768e-03 eta: 1 day, 0:37:28 time: 0.4259 data_time: 0.0189 memory: 17006 grad_norm: 9.0425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3630 loss: 1.3630 2022/07/29 18:03:09 - mmengine - INFO - Epoch(train) [124][3260/3757] lr: 2.2768e-03 eta: 1 day, 0:37:17 time: 0.4021 data_time: 0.0203 memory: 17006 grad_norm: 9.2633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5521 loss: 1.5521 2022/07/29 18:03:17 - mmengine - INFO - Epoch(train) [124][3280/3757] lr: 2.2768e-03 eta: 1 day, 0:37:07 time: 0.4072 data_time: 0.0173 memory: 17006 grad_norm: 9.2005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6874 loss: 1.6874 2022/07/29 18:03:26 - mmengine - INFO - Epoch(train) [124][3300/3757] lr: 2.2768e-03 eta: 1 day, 0:37:00 time: 0.4297 data_time: 0.0237 memory: 17006 grad_norm: 9.4697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7058 loss: 1.7058 2022/07/29 18:03:34 - mmengine - INFO - Epoch(train) [124][3320/3757] lr: 2.2768e-03 eta: 1 day, 0:36:50 time: 0.4079 data_time: 0.0209 memory: 17006 grad_norm: 9.5160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8316 loss: 1.8316 2022/07/29 18:03:43 - mmengine - INFO - Epoch(train) [124][3340/3757] lr: 2.2768e-03 eta: 1 day, 0:36:47 time: 0.4597 data_time: 0.0240 memory: 17006 grad_norm: 9.2534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2977 loss: 1.2977 2022/07/29 18:03:51 - mmengine - INFO - Epoch(train) [124][3360/3757] lr: 2.2768e-03 eta: 1 day, 0:36:36 time: 0.4020 data_time: 0.0172 memory: 17006 grad_norm: 9.3719 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3517 loss: 1.3517 2022/07/29 18:03:59 - mmengine - INFO - Epoch(train) [124][3380/3757] lr: 2.2768e-03 eta: 1 day, 0:36:25 time: 0.4050 data_time: 0.0209 memory: 17006 grad_norm: 9.5324 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2663 loss: 1.2663 2022/07/29 18:04:08 - mmengine - INFO - Epoch(train) [124][3400/3757] lr: 2.2768e-03 eta: 1 day, 0:36:18 time: 0.4301 data_time: 0.0197 memory: 17006 grad_norm: 9.4534 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6684 loss: 1.6684 2022/07/29 18:04:16 - mmengine - INFO - Epoch(train) [124][3420/3757] lr: 2.2768e-03 eta: 1 day, 0:36:08 time: 0.4065 data_time: 0.0220 memory: 17006 grad_norm: 9.3385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6533 loss: 1.6533 2022/07/29 18:04:25 - mmengine - INFO - Epoch(train) [124][3440/3757] lr: 2.2768e-03 eta: 1 day, 0:36:00 time: 0.4247 data_time: 0.0206 memory: 17006 grad_norm: 9.6608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7525 loss: 1.7525 2022/07/29 18:04:33 - mmengine - INFO - Epoch(train) [124][3460/3757] lr: 2.2768e-03 eta: 1 day, 0:35:50 time: 0.4100 data_time: 0.0226 memory: 17006 grad_norm: 9.3271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4985 loss: 1.4985 2022/07/29 18:04:41 - mmengine - INFO - Epoch(train) [124][3480/3757] lr: 2.2768e-03 eta: 1 day, 0:35:43 time: 0.4292 data_time: 0.0213 memory: 17006 grad_norm: 8.9210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4992 loss: 1.4992 2022/07/29 18:04:50 - mmengine - INFO - Epoch(train) [124][3500/3757] lr: 2.2768e-03 eta: 1 day, 0:35:32 time: 0.4036 data_time: 0.0203 memory: 17006 grad_norm: 9.0687 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6111 loss: 1.6111 2022/07/29 18:04:58 - mmengine - INFO - Epoch(train) [124][3520/3757] lr: 2.2768e-03 eta: 1 day, 0:35:22 time: 0.4078 data_time: 0.0183 memory: 17006 grad_norm: 9.0647 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4203 loss: 1.4203 2022/07/29 18:05:06 - mmengine - INFO - Epoch(train) [124][3540/3757] lr: 2.2768e-03 eta: 1 day, 0:35:15 time: 0.4302 data_time: 0.0223 memory: 17006 grad_norm: 9.3444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3875 loss: 1.3875 2022/07/29 18:05:14 - mmengine - INFO - Epoch(train) [124][3560/3757] lr: 2.2768e-03 eta: 1 day, 0:35:04 time: 0.4040 data_time: 0.0191 memory: 17006 grad_norm: 9.0247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5257 loss: 1.5257 2022/07/29 18:05:23 - mmengine - INFO - Epoch(train) [124][3580/3757] lr: 2.2768e-03 eta: 1 day, 0:34:55 time: 0.4134 data_time: 0.0252 memory: 17006 grad_norm: 9.3430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6454 loss: 1.6454 2022/07/29 18:05:31 - mmengine - INFO - Epoch(train) [124][3600/3757] lr: 2.2768e-03 eta: 1 day, 0:34:44 time: 0.4019 data_time: 0.0183 memory: 17006 grad_norm: 9.0344 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5786 loss: 1.5786 2022/07/29 18:05:39 - mmengine - INFO - Epoch(train) [124][3620/3757] lr: 2.2768e-03 eta: 1 day, 0:34:34 time: 0.4057 data_time: 0.0217 memory: 17006 grad_norm: 9.1729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6037 loss: 1.6037 2022/07/29 18:05:48 - mmengine - INFO - Epoch(train) [124][3640/3757] lr: 2.2768e-03 eta: 1 day, 0:34:28 time: 0.4421 data_time: 0.0207 memory: 17006 grad_norm: 9.4600 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5363 loss: 1.5363 2022/07/29 18:05:56 - mmengine - INFO - Epoch(train) [124][3660/3757] lr: 2.2768e-03 eta: 1 day, 0:34:18 time: 0.4058 data_time: 0.0223 memory: 17006 grad_norm: 8.7925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6084 loss: 1.6084 2022/07/29 18:06:05 - mmengine - INFO - Epoch(train) [124][3680/3757] lr: 2.2768e-03 eta: 1 day, 0:34:10 time: 0.4274 data_time: 0.0192 memory: 17006 grad_norm: 9.3307 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6355 loss: 1.6355 2022/07/29 18:06:13 - mmengine - INFO - Epoch(train) [124][3700/3757] lr: 2.2768e-03 eta: 1 day, 0:34:00 time: 0.4045 data_time: 0.0208 memory: 17006 grad_norm: 9.2463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3786 loss: 1.3786 2022/07/29 18:06:21 - mmengine - INFO - Epoch(train) [124][3720/3757] lr: 2.2768e-03 eta: 1 day, 0:33:50 time: 0.4115 data_time: 0.0193 memory: 17006 grad_norm: 8.8501 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6758 loss: 1.6758 2022/07/29 18:06:29 - mmengine - INFO - Epoch(train) [124][3740/3757] lr: 2.2768e-03 eta: 1 day, 0:33:40 time: 0.4058 data_time: 0.0205 memory: 17006 grad_norm: 9.5180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6568 loss: 1.6568 2022/07/29 18:06:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:06:36 - mmengine - INFO - Epoch(train) [124][3757/3757] lr: 2.2768e-03 eta: 1 day, 0:33:40 time: 0.3951 data_time: 0.0158 memory: 17006 grad_norm: 9.2151 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6737 loss: 1.6737 2022/07/29 18:06:36 - mmengine - INFO - Saving checkpoint at 124 epochs 2022/07/29 18:06:49 - mmengine - INFO - Epoch(train) [125][20/3757] lr: 2.2040e-03 eta: 1 day, 0:32:40 time: 0.4637 data_time: 0.0774 memory: 17006 grad_norm: 9.3533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6658 loss: 1.6658 2022/07/29 18:06:57 - mmengine - INFO - Epoch(train) [125][40/3757] lr: 2.2040e-03 eta: 1 day, 0:32:31 time: 0.4162 data_time: 0.0250 memory: 17006 grad_norm: 9.0696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5553 loss: 1.5553 2022/07/29 18:07:06 - mmengine - INFO - Epoch(train) [125][60/3757] lr: 2.2040e-03 eta: 1 day, 0:32:21 time: 0.4072 data_time: 0.0195 memory: 17006 grad_norm: 8.9502 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5131 loss: 1.5131 2022/07/29 18:07:14 - mmengine - INFO - Epoch(train) [125][80/3757] lr: 2.2040e-03 eta: 1 day, 0:32:12 time: 0.4169 data_time: 0.0232 memory: 17006 grad_norm: 9.6296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9744 loss: 1.9744 2022/07/29 18:07:22 - mmengine - INFO - Epoch(train) [125][100/3757] lr: 2.2040e-03 eta: 1 day, 0:32:04 time: 0.4188 data_time: 0.0182 memory: 17006 grad_norm: 9.2584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7234 loss: 1.7234 2022/07/29 18:07:30 - mmengine - INFO - Epoch(train) [125][120/3757] lr: 2.2040e-03 eta: 1 day, 0:31:53 time: 0.4046 data_time: 0.0205 memory: 17006 grad_norm: 9.1812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9375 loss: 1.9375 2022/07/29 18:07:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:07:39 - mmengine - INFO - Epoch(train) [125][140/3757] lr: 2.2040e-03 eta: 1 day, 0:31:45 time: 0.4184 data_time: 0.0190 memory: 17006 grad_norm: 9.2665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5823 loss: 1.5823 2022/07/29 18:07:47 - mmengine - INFO - Epoch(train) [125][160/3757] lr: 2.2040e-03 eta: 1 day, 0:31:36 time: 0.4165 data_time: 0.0215 memory: 17006 grad_norm: 9.1938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7974 loss: 1.7974 2022/07/29 18:07:55 - mmengine - INFO - Epoch(train) [125][180/3757] lr: 2.2040e-03 eta: 1 day, 0:31:26 time: 0.4114 data_time: 0.0210 memory: 17006 grad_norm: 9.2027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3998 loss: 1.3998 2022/07/29 18:08:04 - mmengine - INFO - Epoch(train) [125][200/3757] lr: 2.2040e-03 eta: 1 day, 0:31:16 time: 0.4054 data_time: 0.0221 memory: 17006 grad_norm: 9.2775 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4975 loss: 1.4975 2022/07/29 18:08:12 - mmengine - INFO - Epoch(train) [125][220/3757] lr: 2.2040e-03 eta: 1 day, 0:31:10 time: 0.4386 data_time: 0.0217 memory: 17006 grad_norm: 9.3761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7197 loss: 1.7197 2022/07/29 18:08:20 - mmengine - INFO - Epoch(train) [125][240/3757] lr: 2.2040e-03 eta: 1 day, 0:31:00 time: 0.4070 data_time: 0.0208 memory: 17006 grad_norm: 9.0720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4032 loss: 1.4032 2022/07/29 18:08:29 - mmengine - INFO - Epoch(train) [125][260/3757] lr: 2.2040e-03 eta: 1 day, 0:30:49 time: 0.4042 data_time: 0.0186 memory: 17006 grad_norm: 9.1530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4537 loss: 1.4537 2022/07/29 18:08:37 - mmengine - INFO - Epoch(train) [125][280/3757] lr: 2.2040e-03 eta: 1 day, 0:30:40 time: 0.4157 data_time: 0.0224 memory: 17006 grad_norm: 9.3870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7108 loss: 1.7108 2022/07/29 18:08:46 - mmengine - INFO - Epoch(train) [125][300/3757] lr: 2.2040e-03 eta: 1 day, 0:30:36 time: 0.4512 data_time: 0.0200 memory: 17006 grad_norm: 9.2373 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5834 loss: 1.5834 2022/07/29 18:08:54 - mmengine - INFO - Epoch(train) [125][320/3757] lr: 2.2040e-03 eta: 1 day, 0:30:27 time: 0.4146 data_time: 0.0222 memory: 17006 grad_norm: 9.2573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4698 loss: 1.4698 2022/07/29 18:09:02 - mmengine - INFO - Epoch(train) [125][340/3757] lr: 2.2040e-03 eta: 1 day, 0:30:16 time: 0.4046 data_time: 0.0189 memory: 17006 grad_norm: 9.3100 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6046 loss: 1.6046 2022/07/29 18:09:11 - mmengine - INFO - Epoch(train) [125][360/3757] lr: 2.2040e-03 eta: 1 day, 0:30:07 time: 0.4139 data_time: 0.0203 memory: 17006 grad_norm: 8.9486 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6673 loss: 1.6673 2022/07/29 18:09:19 - mmengine - INFO - Epoch(train) [125][380/3757] lr: 2.2040e-03 eta: 1 day, 0:29:58 time: 0.4145 data_time: 0.0200 memory: 17006 grad_norm: 9.0443 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2631 loss: 1.2631 2022/07/29 18:09:28 - mmengine - INFO - Epoch(train) [125][400/3757] lr: 2.2040e-03 eta: 1 day, 0:29:51 time: 0.4333 data_time: 0.0202 memory: 17006 grad_norm: 9.5398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5937 loss: 1.5937 2022/07/29 18:09:36 - mmengine - INFO - Epoch(train) [125][420/3757] lr: 2.2040e-03 eta: 1 day, 0:29:43 time: 0.4183 data_time: 0.0216 memory: 17006 grad_norm: 9.2822 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7256 loss: 1.7256 2022/07/29 18:09:44 - mmengine - INFO - Epoch(train) [125][440/3757] lr: 2.2040e-03 eta: 1 day, 0:29:32 time: 0.4059 data_time: 0.0212 memory: 17006 grad_norm: 8.7929 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5792 loss: 1.5792 2022/07/29 18:09:53 - mmengine - INFO - Epoch(train) [125][460/3757] lr: 2.2040e-03 eta: 1 day, 0:29:27 time: 0.4419 data_time: 0.0210 memory: 17006 grad_norm: 9.3254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6823 loss: 1.6823 2022/07/29 18:10:01 - mmengine - INFO - Epoch(train) [125][480/3757] lr: 2.2040e-03 eta: 1 day, 0:29:17 time: 0.4068 data_time: 0.0216 memory: 17006 grad_norm: 9.3903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6282 loss: 1.6282 2022/07/29 18:10:09 - mmengine - INFO - Epoch(train) [125][500/3757] lr: 2.2040e-03 eta: 1 day, 0:29:06 time: 0.4026 data_time: 0.0197 memory: 17006 grad_norm: 9.1509 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6213 loss: 1.6213 2022/07/29 18:10:18 - mmengine - INFO - Epoch(train) [125][520/3757] lr: 2.2040e-03 eta: 1 day, 0:28:57 time: 0.4139 data_time: 0.0226 memory: 17006 grad_norm: 9.6804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6506 loss: 1.6506 2022/07/29 18:10:26 - mmengine - INFO - Epoch(train) [125][540/3757] lr: 2.2040e-03 eta: 1 day, 0:28:48 time: 0.4145 data_time: 0.0193 memory: 17006 grad_norm: 9.3065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6566 loss: 1.6566 2022/07/29 18:10:34 - mmengine - INFO - Epoch(train) [125][560/3757] lr: 2.2040e-03 eta: 1 day, 0:28:38 time: 0.4081 data_time: 0.0211 memory: 17006 grad_norm: 9.3695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4609 loss: 1.4609 2022/07/29 18:10:43 - mmengine - INFO - Epoch(train) [125][580/3757] lr: 2.2040e-03 eta: 1 day, 0:28:35 time: 0.4591 data_time: 0.0187 memory: 17006 grad_norm: 9.0947 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6024 loss: 1.6024 2022/07/29 18:10:52 - mmengine - INFO - Epoch(train) [125][600/3757] lr: 2.2040e-03 eta: 1 day, 0:28:26 time: 0.4167 data_time: 0.0225 memory: 17006 grad_norm: 9.3235 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5195 loss: 1.5195 2022/07/29 18:11:00 - mmengine - INFO - Epoch(train) [125][620/3757] lr: 2.2040e-03 eta: 1 day, 0:28:15 time: 0.4050 data_time: 0.0186 memory: 17006 grad_norm: 9.1533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6331 loss: 1.6331 2022/07/29 18:11:08 - mmengine - INFO - Epoch(train) [125][640/3757] lr: 2.2040e-03 eta: 1 day, 0:28:06 time: 0.4124 data_time: 0.0199 memory: 17006 grad_norm: 9.4269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3014 loss: 1.3014 2022/07/29 18:11:17 - mmengine - INFO - Epoch(train) [125][660/3757] lr: 2.2040e-03 eta: 1 day, 0:27:58 time: 0.4233 data_time: 0.0228 memory: 17006 grad_norm: 9.1694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5407 loss: 1.5407 2022/07/29 18:11:25 - mmengine - INFO - Epoch(train) [125][680/3757] lr: 2.2040e-03 eta: 1 day, 0:27:50 time: 0.4214 data_time: 0.0223 memory: 17006 grad_norm: 9.2808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5536 loss: 1.5536 2022/07/29 18:11:33 - mmengine - INFO - Epoch(train) [125][700/3757] lr: 2.2040e-03 eta: 1 day, 0:27:40 time: 0.4119 data_time: 0.0203 memory: 17006 grad_norm: 9.1871 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8439 loss: 1.8439 2022/07/29 18:11:42 - mmengine - INFO - Epoch(train) [125][720/3757] lr: 2.2040e-03 eta: 1 day, 0:27:31 time: 0.4162 data_time: 0.0215 memory: 17006 grad_norm: 9.4437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5331 loss: 1.5331 2022/07/29 18:11:50 - mmengine - INFO - Epoch(train) [125][740/3757] lr: 2.2040e-03 eta: 1 day, 0:27:21 time: 0.4036 data_time: 0.0197 memory: 17006 grad_norm: 9.0737 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6705 loss: 1.6705 2022/07/29 18:11:58 - mmengine - INFO - Epoch(train) [125][760/3757] lr: 2.2040e-03 eta: 1 day, 0:27:11 time: 0.4099 data_time: 0.0221 memory: 17006 grad_norm: 9.1273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6947 loss: 1.6947 2022/07/29 18:12:06 - mmengine - INFO - Epoch(train) [125][780/3757] lr: 2.2040e-03 eta: 1 day, 0:27:03 time: 0.4211 data_time: 0.0181 memory: 17006 grad_norm: 9.5832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8473 loss: 1.8473 2022/07/29 18:12:15 - mmengine - INFO - Epoch(train) [125][800/3757] lr: 2.2040e-03 eta: 1 day, 0:26:53 time: 0.4097 data_time: 0.0231 memory: 17006 grad_norm: 9.2547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6786 loss: 1.6786 2022/07/29 18:12:24 - mmengine - INFO - Epoch(train) [125][820/3757] lr: 2.2040e-03 eta: 1 day, 0:26:49 time: 0.4535 data_time: 0.0176 memory: 17006 grad_norm: 9.1200 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5940 loss: 1.5940 2022/07/29 18:12:32 - mmengine - INFO - Epoch(train) [125][840/3757] lr: 2.2040e-03 eta: 1 day, 0:26:39 time: 0.4088 data_time: 0.0233 memory: 17006 grad_norm: 9.1968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8920 loss: 1.8920 2022/07/29 18:12:40 - mmengine - INFO - Epoch(train) [125][860/3757] lr: 2.2040e-03 eta: 1 day, 0:26:28 time: 0.4023 data_time: 0.0194 memory: 17006 grad_norm: 9.2667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5372 loss: 1.5372 2022/07/29 18:12:48 - mmengine - INFO - Epoch(train) [125][880/3757] lr: 2.2040e-03 eta: 1 day, 0:26:19 time: 0.4157 data_time: 0.0204 memory: 17006 grad_norm: 9.2600 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6198 loss: 1.6198 2022/07/29 18:12:57 - mmengine - INFO - Epoch(train) [125][900/3757] lr: 2.2040e-03 eta: 1 day, 0:26:12 time: 0.4270 data_time: 0.0224 memory: 17006 grad_norm: 9.5204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6243 loss: 1.6243 2022/07/29 18:13:05 - mmengine - INFO - Epoch(train) [125][920/3757] lr: 2.2040e-03 eta: 1 day, 0:26:03 time: 0.4150 data_time: 0.0197 memory: 17006 grad_norm: 9.2971 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3387 loss: 1.3387 2022/07/29 18:13:13 - mmengine - INFO - Epoch(train) [125][940/3757] lr: 2.2040e-03 eta: 1 day, 0:25:53 time: 0.4116 data_time: 0.0207 memory: 17006 grad_norm: 9.2073 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4217 loss: 1.4217 2022/07/29 18:13:22 - mmengine - INFO - Epoch(train) [125][960/3757] lr: 2.2040e-03 eta: 1 day, 0:25:43 time: 0.4041 data_time: 0.0200 memory: 17006 grad_norm: 9.3323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6483 loss: 1.6483 2022/07/29 18:13:30 - mmengine - INFO - Epoch(train) [125][980/3757] lr: 2.2040e-03 eta: 1 day, 0:25:32 time: 0.4030 data_time: 0.0197 memory: 17006 grad_norm: 9.8327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7905 loss: 1.7905 2022/07/29 18:13:38 - mmengine - INFO - Epoch(train) [125][1000/3757] lr: 2.2040e-03 eta: 1 day, 0:25:24 time: 0.4252 data_time: 0.0217 memory: 17006 grad_norm: 9.1146 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4505 loss: 1.4505 2022/07/29 18:13:46 - mmengine - INFO - Epoch(train) [125][1020/3757] lr: 2.2040e-03 eta: 1 day, 0:25:14 time: 0.4076 data_time: 0.0185 memory: 17006 grad_norm: 9.6495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5759 loss: 1.5759 2022/07/29 18:13:56 - mmengine - INFO - Epoch(train) [125][1040/3757] lr: 2.2040e-03 eta: 1 day, 0:25:12 time: 0.4660 data_time: 0.0229 memory: 17006 grad_norm: 9.7257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7332 loss: 1.7332 2022/07/29 18:14:04 - mmengine - INFO - Epoch(train) [125][1060/3757] lr: 2.2040e-03 eta: 1 day, 0:25:02 time: 0.4039 data_time: 0.0184 memory: 17006 grad_norm: 8.9130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5505 loss: 1.5505 2022/07/29 18:14:12 - mmengine - INFO - Epoch(train) [125][1080/3757] lr: 2.2040e-03 eta: 1 day, 0:24:54 time: 0.4240 data_time: 0.0225 memory: 17006 grad_norm: 9.4981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5581 loss: 1.5581 2022/07/29 18:14:20 - mmengine - INFO - Epoch(train) [125][1100/3757] lr: 2.2040e-03 eta: 1 day, 0:24:43 time: 0.4014 data_time: 0.0173 memory: 17006 grad_norm: 8.9324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5475 loss: 1.5475 2022/07/29 18:14:29 - mmengine - INFO - Epoch(train) [125][1120/3757] lr: 2.2040e-03 eta: 1 day, 0:24:33 time: 0.4123 data_time: 0.0201 memory: 17006 grad_norm: 9.4581 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9905 loss: 1.9905 2022/07/29 18:14:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:14:37 - mmengine - INFO - Epoch(train) [125][1140/3757] lr: 2.2040e-03 eta: 1 day, 0:24:24 time: 0.4087 data_time: 0.0201 memory: 17006 grad_norm: 9.0796 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5307 loss: 1.5307 2022/07/29 18:14:45 - mmengine - INFO - Epoch(train) [125][1160/3757] lr: 2.2040e-03 eta: 1 day, 0:24:13 time: 0.4042 data_time: 0.0214 memory: 17006 grad_norm: 9.4336 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5280 loss: 1.5280 2022/07/29 18:14:53 - mmengine - INFO - Epoch(train) [125][1180/3757] lr: 2.2040e-03 eta: 1 day, 0:24:02 time: 0.4037 data_time: 0.0192 memory: 17006 grad_norm: 9.3676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6027 loss: 1.6027 2022/07/29 18:15:01 - mmengine - INFO - Epoch(train) [125][1200/3757] lr: 2.2040e-03 eta: 1 day, 0:23:52 time: 0.4059 data_time: 0.0200 memory: 17006 grad_norm: 9.0999 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7829 loss: 1.7829 2022/07/29 18:15:09 - mmengine - INFO - Epoch(train) [125][1220/3757] lr: 2.2040e-03 eta: 1 day, 0:23:42 time: 0.4055 data_time: 0.0186 memory: 17006 grad_norm: 9.3191 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6262 loss: 1.6262 2022/07/29 18:15:17 - mmengine - INFO - Epoch(train) [125][1240/3757] lr: 2.2040e-03 eta: 1 day, 0:23:32 time: 0.4057 data_time: 0.0222 memory: 17006 grad_norm: 9.3171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9123 loss: 1.9123 2022/07/29 18:15:26 - mmengine - INFO - Epoch(train) [125][1260/3757] lr: 2.2040e-03 eta: 1 day, 0:23:21 time: 0.4058 data_time: 0.0198 memory: 17006 grad_norm: 9.5874 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4102 loss: 1.4102 2022/07/29 18:15:34 - mmengine - INFO - Epoch(train) [125][1280/3757] lr: 2.2040e-03 eta: 1 day, 0:23:11 time: 0.4068 data_time: 0.0226 memory: 17006 grad_norm: 9.3254 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5354 loss: 1.5354 2022/07/29 18:15:42 - mmengine - INFO - Epoch(train) [125][1300/3757] lr: 2.2040e-03 eta: 1 day, 0:23:01 time: 0.4037 data_time: 0.0191 memory: 17006 grad_norm: 9.3690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3651 loss: 1.3651 2022/07/29 18:15:50 - mmengine - INFO - Epoch(train) [125][1320/3757] lr: 2.2040e-03 eta: 1 day, 0:22:50 time: 0.4031 data_time: 0.0205 memory: 17006 grad_norm: 9.1701 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4103 loss: 1.4103 2022/07/29 18:15:58 - mmengine - INFO - Epoch(train) [125][1340/3757] lr: 2.2040e-03 eta: 1 day, 0:22:40 time: 0.4062 data_time: 0.0207 memory: 17006 grad_norm: 9.1249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4488 loss: 1.4488 2022/07/29 18:16:06 - mmengine - INFO - Epoch(train) [125][1360/3757] lr: 2.2040e-03 eta: 1 day, 0:22:30 time: 0.4120 data_time: 0.0214 memory: 17006 grad_norm: 8.8944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6269 loss: 1.6269 2022/07/29 18:16:15 - mmengine - INFO - Epoch(train) [125][1380/3757] lr: 2.2040e-03 eta: 1 day, 0:22:22 time: 0.4199 data_time: 0.0214 memory: 17006 grad_norm: 9.3846 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6684 loss: 1.6684 2022/07/29 18:16:23 - mmengine - INFO - Epoch(train) [125][1400/3757] lr: 2.2040e-03 eta: 1 day, 0:22:12 time: 0.4088 data_time: 0.0227 memory: 17006 grad_norm: 9.2969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4774 loss: 1.4774 2022/07/29 18:16:31 - mmengine - INFO - Epoch(train) [125][1420/3757] lr: 2.2040e-03 eta: 1 day, 0:22:02 time: 0.4041 data_time: 0.0191 memory: 17006 grad_norm: 9.3745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7588 loss: 1.7588 2022/07/29 18:16:39 - mmengine - INFO - Epoch(train) [125][1440/3757] lr: 2.2040e-03 eta: 1 day, 0:21:51 time: 0.4061 data_time: 0.0216 memory: 17006 grad_norm: 9.7647 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6307 loss: 1.6307 2022/07/29 18:16:47 - mmengine - INFO - Epoch(train) [125][1460/3757] lr: 2.2040e-03 eta: 1 day, 0:21:42 time: 0.4151 data_time: 0.0186 memory: 17006 grad_norm: 9.5299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6371 loss: 1.6371 2022/07/29 18:16:56 - mmengine - INFO - Epoch(train) [125][1480/3757] lr: 2.2040e-03 eta: 1 day, 0:21:37 time: 0.4439 data_time: 0.0224 memory: 17006 grad_norm: 9.5422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6527 loss: 1.6527 2022/07/29 18:17:05 - mmengine - INFO - Epoch(train) [125][1500/3757] lr: 2.2040e-03 eta: 1 day, 0:21:28 time: 0.4149 data_time: 0.0205 memory: 17006 grad_norm: 9.3540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5039 loss: 1.5039 2022/07/29 18:17:13 - mmengine - INFO - Epoch(train) [125][1520/3757] lr: 2.2040e-03 eta: 1 day, 0:21:18 time: 0.4069 data_time: 0.0221 memory: 17006 grad_norm: 8.8294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4142 loss: 1.4142 2022/07/29 18:17:21 - mmengine - INFO - Epoch(train) [125][1540/3757] lr: 2.2040e-03 eta: 1 day, 0:21:07 time: 0.4025 data_time: 0.0180 memory: 17006 grad_norm: 9.1027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5859 loss: 1.5859 2022/07/29 18:17:30 - mmengine - INFO - Epoch(train) [125][1560/3757] lr: 2.2040e-03 eta: 1 day, 0:21:04 time: 0.4590 data_time: 0.0221 memory: 17006 grad_norm: 9.3051 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3784 loss: 1.3784 2022/07/29 18:17:38 - mmengine - INFO - Epoch(train) [125][1580/3757] lr: 2.2040e-03 eta: 1 day, 0:20:53 time: 0.4022 data_time: 0.0185 memory: 17006 grad_norm: 9.2436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7984 loss: 1.7984 2022/07/29 18:17:47 - mmengine - INFO - Epoch(train) [125][1600/3757] lr: 2.2040e-03 eta: 1 day, 0:20:47 time: 0.4311 data_time: 0.0229 memory: 17006 grad_norm: 9.2238 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6853 loss: 1.6853 2022/07/29 18:17:55 - mmengine - INFO - Epoch(train) [125][1620/3757] lr: 2.2040e-03 eta: 1 day, 0:20:36 time: 0.4043 data_time: 0.0194 memory: 17006 grad_norm: 9.5486 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5974 loss: 1.5974 2022/07/29 18:18:04 - mmengine - INFO - Epoch(train) [125][1640/3757] lr: 2.2040e-03 eta: 1 day, 0:20:30 time: 0.4373 data_time: 0.0224 memory: 17006 grad_norm: 9.7319 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6079 loss: 1.6079 2022/07/29 18:18:12 - mmengine - INFO - Epoch(train) [125][1660/3757] lr: 2.2040e-03 eta: 1 day, 0:20:19 time: 0.4032 data_time: 0.0198 memory: 17006 grad_norm: 9.2789 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3805 loss: 1.3805 2022/07/29 18:18:20 - mmengine - INFO - Epoch(train) [125][1680/3757] lr: 2.2040e-03 eta: 1 day, 0:20:09 time: 0.4048 data_time: 0.0209 memory: 17006 grad_norm: 9.1937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3610 loss: 1.3610 2022/07/29 18:18:29 - mmengine - INFO - Epoch(train) [125][1700/3757] lr: 2.2040e-03 eta: 1 day, 0:20:02 time: 0.4311 data_time: 0.0199 memory: 17006 grad_norm: 9.6978 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5403 loss: 1.5403 2022/07/29 18:18:37 - mmengine - INFO - Epoch(train) [125][1720/3757] lr: 2.2040e-03 eta: 1 day, 0:19:52 time: 0.4047 data_time: 0.0211 memory: 17006 grad_norm: 9.0157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3442 loss: 1.3442 2022/07/29 18:18:45 - mmengine - INFO - Epoch(train) [125][1740/3757] lr: 2.2040e-03 eta: 1 day, 0:19:46 time: 0.4407 data_time: 0.0220 memory: 17006 grad_norm: 9.5228 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7058 loss: 1.7058 2022/07/29 18:18:54 - mmengine - INFO - Epoch(train) [125][1760/3757] lr: 2.2040e-03 eta: 1 day, 0:19:36 time: 0.4055 data_time: 0.0212 memory: 17006 grad_norm: 9.2792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6030 loss: 1.6030 2022/07/29 18:19:03 - mmengine - INFO - Epoch(train) [125][1780/3757] lr: 2.2040e-03 eta: 1 day, 0:19:31 time: 0.4430 data_time: 0.0197 memory: 17006 grad_norm: 9.1975 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6842 loss: 1.6842 2022/07/29 18:19:11 - mmengine - INFO - Epoch(train) [125][1800/3757] lr: 2.2040e-03 eta: 1 day, 0:19:20 time: 0.4032 data_time: 0.0200 memory: 17006 grad_norm: 9.3141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5879 loss: 1.5879 2022/07/29 18:19:19 - mmengine - INFO - Epoch(train) [125][1820/3757] lr: 2.2040e-03 eta: 1 day, 0:19:10 time: 0.4037 data_time: 0.0184 memory: 17006 grad_norm: 9.7270 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7730 loss: 1.7730 2022/07/29 18:19:28 - mmengine - INFO - Epoch(train) [125][1840/3757] lr: 2.2040e-03 eta: 1 day, 0:19:04 time: 0.4414 data_time: 0.0223 memory: 17006 grad_norm: 9.7583 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7866 loss: 1.7866 2022/07/29 18:19:36 - mmengine - INFO - Epoch(train) [125][1860/3757] lr: 2.2040e-03 eta: 1 day, 0:18:53 time: 0.4027 data_time: 0.0175 memory: 17006 grad_norm: 9.5059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4472 loss: 1.4472 2022/07/29 18:19:44 - mmengine - INFO - Epoch(train) [125][1880/3757] lr: 2.2040e-03 eta: 1 day, 0:18:45 time: 0.4230 data_time: 0.0220 memory: 17006 grad_norm: 9.2418 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7900 loss: 1.7900 2022/07/29 18:19:52 - mmengine - INFO - Epoch(train) [125][1900/3757] lr: 2.2040e-03 eta: 1 day, 0:18:35 time: 0.4041 data_time: 0.0180 memory: 17006 grad_norm: 10.0064 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6938 loss: 1.6938 2022/07/29 18:20:00 - mmengine - INFO - Epoch(train) [125][1920/3757] lr: 2.2040e-03 eta: 1 day, 0:18:25 time: 0.4051 data_time: 0.0200 memory: 17006 grad_norm: 9.0365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5036 loss: 1.5036 2022/07/29 18:20:09 - mmengine - INFO - Epoch(train) [125][1940/3757] lr: 2.2040e-03 eta: 1 day, 0:18:16 time: 0.4160 data_time: 0.0211 memory: 17006 grad_norm: 9.6593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6668 loss: 1.6668 2022/07/29 18:20:17 - mmengine - INFO - Epoch(train) [125][1960/3757] lr: 2.2040e-03 eta: 1 day, 0:18:05 time: 0.4045 data_time: 0.0213 memory: 17006 grad_norm: 9.2948 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5832 loss: 1.5832 2022/07/29 18:20:26 - mmengine - INFO - Epoch(train) [125][1980/3757] lr: 2.2040e-03 eta: 1 day, 0:18:02 time: 0.4554 data_time: 0.0218 memory: 17006 grad_norm: 9.1336 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5037 loss: 1.5037 2022/07/29 18:20:34 - mmengine - INFO - Epoch(train) [125][2000/3757] lr: 2.2040e-03 eta: 1 day, 0:17:51 time: 0.4057 data_time: 0.0216 memory: 17006 grad_norm: 8.9519 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5908 loss: 1.5908 2022/07/29 18:20:43 - mmengine - INFO - Epoch(train) [125][2020/3757] lr: 2.2040e-03 eta: 1 day, 0:17:47 time: 0.4505 data_time: 0.0188 memory: 17006 grad_norm: 9.6397 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5083 loss: 1.5083 2022/07/29 18:20:51 - mmengine - INFO - Epoch(train) [125][2040/3757] lr: 2.2040e-03 eta: 1 day, 0:17:37 time: 0.4038 data_time: 0.0211 memory: 17006 grad_norm: 8.9339 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5128 loss: 1.5128 2022/07/29 18:20:59 - mmengine - INFO - Epoch(train) [125][2060/3757] lr: 2.2040e-03 eta: 1 day, 0:17:26 time: 0.4045 data_time: 0.0203 memory: 17006 grad_norm: 9.4413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7012 loss: 1.7012 2022/07/29 18:21:08 - mmengine - INFO - Epoch(train) [125][2080/3757] lr: 2.2040e-03 eta: 1 day, 0:17:17 time: 0.4143 data_time: 0.0221 memory: 17006 grad_norm: 9.5335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4945 loss: 1.4945 2022/07/29 18:21:16 - mmengine - INFO - Epoch(train) [125][2100/3757] lr: 2.2040e-03 eta: 1 day, 0:17:07 time: 0.4041 data_time: 0.0189 memory: 17006 grad_norm: 9.2998 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6311 loss: 1.6311 2022/07/29 18:21:24 - mmengine - INFO - Epoch(train) [125][2120/3757] lr: 2.2040e-03 eta: 1 day, 0:16:58 time: 0.4156 data_time: 0.0203 memory: 17006 grad_norm: 9.3125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4441 loss: 1.4441 2022/07/29 18:21:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:21:32 - mmengine - INFO - Epoch(train) [125][2140/3757] lr: 2.2040e-03 eta: 1 day, 0:16:47 time: 0.4035 data_time: 0.0176 memory: 17006 grad_norm: 9.4351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6981 loss: 1.6981 2022/07/29 18:21:40 - mmengine - INFO - Epoch(train) [125][2160/3757] lr: 2.2040e-03 eta: 1 day, 0:16:38 time: 0.4115 data_time: 0.0226 memory: 17006 grad_norm: 9.5358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7000 loss: 1.7000 2022/07/29 18:21:48 - mmengine - INFO - Epoch(train) [125][2180/3757] lr: 2.2040e-03 eta: 1 day, 0:16:27 time: 0.4040 data_time: 0.0197 memory: 17006 grad_norm: 9.4312 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3578 loss: 1.3578 2022/07/29 18:21:57 - mmengine - INFO - Epoch(train) [125][2200/3757] lr: 2.2040e-03 eta: 1 day, 0:16:20 time: 0.4270 data_time: 0.0201 memory: 17006 grad_norm: 9.2592 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4136 loss: 1.4136 2022/07/29 18:22:05 - mmengine - INFO - Epoch(train) [125][2220/3757] lr: 2.2040e-03 eta: 1 day, 0:16:10 time: 0.4051 data_time: 0.0201 memory: 17006 grad_norm: 9.4118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5145 loss: 1.5145 2022/07/29 18:22:14 - mmengine - INFO - Epoch(train) [125][2240/3757] lr: 2.2040e-03 eta: 1 day, 0:16:07 time: 0.4641 data_time: 0.0284 memory: 17006 grad_norm: 9.4071 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6128 loss: 1.6128 2022/07/29 18:22:23 - mmengine - INFO - Epoch(train) [125][2260/3757] lr: 2.2040e-03 eta: 1 day, 0:15:57 time: 0.4053 data_time: 0.0205 memory: 17006 grad_norm: 9.4654 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3280 loss: 1.3280 2022/07/29 18:22:31 - mmengine - INFO - Epoch(train) [125][2280/3757] lr: 2.2040e-03 eta: 1 day, 0:15:46 time: 0.4038 data_time: 0.0206 memory: 17006 grad_norm: 9.3538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6291 loss: 1.6291 2022/07/29 18:22:40 - mmengine - INFO - Epoch(train) [125][2300/3757] lr: 2.2040e-03 eta: 1 day, 0:15:42 time: 0.4491 data_time: 0.0202 memory: 17006 grad_norm: 9.5580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2769 loss: 1.2769 2022/07/29 18:22:48 - mmengine - INFO - Epoch(train) [125][2320/3757] lr: 2.2040e-03 eta: 1 day, 0:15:32 time: 0.4077 data_time: 0.0217 memory: 17006 grad_norm: 8.9589 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7266 loss: 1.7266 2022/07/29 18:22:57 - mmengine - INFO - Epoch(train) [125][2340/3757] lr: 2.2040e-03 eta: 1 day, 0:15:26 time: 0.4412 data_time: 0.0220 memory: 17006 grad_norm: 9.2372 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6558 loss: 1.6558 2022/07/29 18:23:05 - mmengine - INFO - Epoch(train) [125][2360/3757] lr: 2.2040e-03 eta: 1 day, 0:15:16 time: 0.4079 data_time: 0.0220 memory: 17006 grad_norm: 9.5573 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5519 loss: 1.5519 2022/07/29 18:23:13 - mmengine - INFO - Epoch(train) [125][2380/3757] lr: 2.2040e-03 eta: 1 day, 0:15:07 time: 0.4152 data_time: 0.0208 memory: 17006 grad_norm: 9.4452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8504 loss: 1.8504 2022/07/29 18:23:21 - mmengine - INFO - Epoch(train) [125][2400/3757] lr: 2.2040e-03 eta: 1 day, 0:14:57 time: 0.4041 data_time: 0.0215 memory: 17006 grad_norm: 9.7883 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6931 loss: 1.6931 2022/07/29 18:23:30 - mmengine - INFO - Epoch(train) [125][2420/3757] lr: 2.2040e-03 eta: 1 day, 0:14:47 time: 0.4085 data_time: 0.0217 memory: 17006 grad_norm: 9.3447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5923 loss: 1.5923 2022/07/29 18:23:38 - mmengine - INFO - Epoch(train) [125][2440/3757] lr: 2.2040e-03 eta: 1 day, 0:14:37 time: 0.4045 data_time: 0.0193 memory: 17006 grad_norm: 9.2969 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6316 loss: 1.6316 2022/07/29 18:23:46 - mmengine - INFO - Epoch(train) [125][2460/3757] lr: 2.2040e-03 eta: 1 day, 0:14:27 time: 0.4142 data_time: 0.0200 memory: 17006 grad_norm: 9.6168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7561 loss: 1.7561 2022/07/29 18:23:54 - mmengine - INFO - Epoch(train) [125][2480/3757] lr: 2.2040e-03 eta: 1 day, 0:14:17 time: 0.4068 data_time: 0.0205 memory: 17006 grad_norm: 9.2502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6607 loss: 1.6607 2022/07/29 18:24:02 - mmengine - INFO - Epoch(train) [125][2500/3757] lr: 2.2040e-03 eta: 1 day, 0:14:08 time: 0.4133 data_time: 0.0178 memory: 17006 grad_norm: 9.3550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6688 loss: 1.6688 2022/07/29 18:24:10 - mmengine - INFO - Epoch(train) [125][2520/3757] lr: 2.2040e-03 eta: 1 day, 0:13:58 time: 0.4047 data_time: 0.0210 memory: 17006 grad_norm: 9.7288 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5793 loss: 1.5793 2022/07/29 18:24:19 - mmengine - INFO - Epoch(train) [125][2540/3757] lr: 2.2040e-03 eta: 1 day, 0:13:48 time: 0.4085 data_time: 0.0193 memory: 17006 grad_norm: 9.4891 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7695 loss: 1.7695 2022/07/29 18:24:27 - mmengine - INFO - Epoch(train) [125][2560/3757] lr: 2.2040e-03 eta: 1 day, 0:13:38 time: 0.4099 data_time: 0.0213 memory: 17006 grad_norm: 9.3304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3688 loss: 1.3688 2022/07/29 18:24:35 - mmengine - INFO - Epoch(train) [125][2580/3757] lr: 2.2040e-03 eta: 1 day, 0:13:28 time: 0.4074 data_time: 0.0183 memory: 17006 grad_norm: 9.1834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6938 loss: 1.6938 2022/07/29 18:24:43 - mmengine - INFO - Epoch(train) [125][2600/3757] lr: 2.2040e-03 eta: 1 day, 0:13:19 time: 0.4142 data_time: 0.0209 memory: 17006 grad_norm: 9.5712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7260 loss: 1.7260 2022/07/29 18:24:51 - mmengine - INFO - Epoch(train) [125][2620/3757] lr: 2.2040e-03 eta: 1 day, 0:13:09 time: 0.4043 data_time: 0.0185 memory: 17006 grad_norm: 9.0607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6997 loss: 1.6997 2022/07/29 18:25:00 - mmengine - INFO - Epoch(train) [125][2640/3757] lr: 2.2040e-03 eta: 1 day, 0:12:58 time: 0.4028 data_time: 0.0195 memory: 17006 grad_norm: 9.7421 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4140 loss: 1.4140 2022/07/29 18:25:08 - mmengine - INFO - Epoch(train) [125][2660/3757] lr: 2.2040e-03 eta: 1 day, 0:12:49 time: 0.4106 data_time: 0.0201 memory: 17006 grad_norm: 9.4566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6534 loss: 1.6534 2022/07/29 18:25:16 - mmengine - INFO - Epoch(train) [125][2680/3757] lr: 2.2040e-03 eta: 1 day, 0:12:39 time: 0.4064 data_time: 0.0223 memory: 17006 grad_norm: 8.9281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4002 loss: 1.4002 2022/07/29 18:25:24 - mmengine - INFO - Epoch(train) [125][2700/3757] lr: 2.2040e-03 eta: 1 day, 0:12:31 time: 0.4225 data_time: 0.0200 memory: 17006 grad_norm: 9.3180 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4174 loss: 1.4174 2022/07/29 18:25:33 - mmengine - INFO - Epoch(train) [125][2720/3757] lr: 2.2040e-03 eta: 1 day, 0:12:22 time: 0.4143 data_time: 0.0212 memory: 17006 grad_norm: 9.6147 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5374 loss: 1.5374 2022/07/29 18:25:41 - mmengine - INFO - Epoch(train) [125][2740/3757] lr: 2.2040e-03 eta: 1 day, 0:12:11 time: 0.4024 data_time: 0.0188 memory: 17006 grad_norm: 9.5001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8406 loss: 1.8406 2022/07/29 18:25:49 - mmengine - INFO - Epoch(train) [125][2760/3757] lr: 2.2040e-03 eta: 1 day, 0:12:03 time: 0.4214 data_time: 0.0220 memory: 17006 grad_norm: 9.2177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6600 loss: 1.6600 2022/07/29 18:25:58 - mmengine - INFO - Epoch(train) [125][2780/3757] lr: 2.2040e-03 eta: 1 day, 0:11:55 time: 0.4209 data_time: 0.0204 memory: 17006 grad_norm: 9.3614 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8064 loss: 1.8064 2022/07/29 18:26:06 - mmengine - INFO - Epoch(train) [125][2800/3757] lr: 2.2040e-03 eta: 1 day, 0:11:46 time: 0.4199 data_time: 0.0224 memory: 17006 grad_norm: 8.8786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5356 loss: 1.5356 2022/07/29 18:26:14 - mmengine - INFO - Epoch(train) [125][2820/3757] lr: 2.2040e-03 eta: 1 day, 0:11:37 time: 0.4086 data_time: 0.0189 memory: 17006 grad_norm: 9.1779 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9433 loss: 1.9433 2022/07/29 18:26:23 - mmengine - INFO - Epoch(train) [125][2840/3757] lr: 2.2040e-03 eta: 1 day, 0:11:32 time: 0.4478 data_time: 0.0201 memory: 17006 grad_norm: 9.3104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7865 loss: 1.7865 2022/07/29 18:26:31 - mmengine - INFO - Epoch(train) [125][2860/3757] lr: 2.2040e-03 eta: 1 day, 0:11:22 time: 0.4053 data_time: 0.0196 memory: 17006 grad_norm: 9.4418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5606 loss: 1.5606 2022/07/29 18:26:40 - mmengine - INFO - Epoch(train) [125][2880/3757] lr: 2.2040e-03 eta: 1 day, 0:11:11 time: 0.4054 data_time: 0.0210 memory: 17006 grad_norm: 9.4550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5095 loss: 1.5095 2022/07/29 18:26:48 - mmengine - INFO - Epoch(train) [125][2900/3757] lr: 2.2040e-03 eta: 1 day, 0:11:06 time: 0.4388 data_time: 0.0197 memory: 17006 grad_norm: 9.2187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1388 loss: 1.1388 2022/07/29 18:26:56 - mmengine - INFO - Epoch(train) [125][2920/3757] lr: 2.2040e-03 eta: 1 day, 0:10:55 time: 0.4066 data_time: 0.0216 memory: 17006 grad_norm: 9.4333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5817 loss: 1.5817 2022/07/29 18:27:06 - mmengine - INFO - Epoch(train) [125][2940/3757] lr: 2.2040e-03 eta: 1 day, 0:10:52 time: 0.4606 data_time: 0.0208 memory: 17006 grad_norm: 9.6600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/07/29 18:27:14 - mmengine - INFO - Epoch(train) [125][2960/3757] lr: 2.2040e-03 eta: 1 day, 0:10:42 time: 0.4046 data_time: 0.0221 memory: 17006 grad_norm: 9.2678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7824 loss: 1.7824 2022/07/29 18:27:22 - mmengine - INFO - Epoch(train) [125][2980/3757] lr: 2.2040e-03 eta: 1 day, 0:10:31 time: 0.4024 data_time: 0.0177 memory: 17006 grad_norm: 9.4976 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5332 loss: 1.5332 2022/07/29 18:27:31 - mmengine - INFO - Epoch(train) [125][3000/3757] lr: 2.2040e-03 eta: 1 day, 0:10:24 time: 0.4311 data_time: 0.0220 memory: 17006 grad_norm: 8.7963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6571 loss: 1.6571 2022/07/29 18:27:39 - mmengine - INFO - Epoch(train) [125][3020/3757] lr: 2.2040e-03 eta: 1 day, 0:10:14 time: 0.4023 data_time: 0.0184 memory: 17006 grad_norm: 9.2245 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4428 loss: 1.4428 2022/07/29 18:27:47 - mmengine - INFO - Epoch(train) [125][3040/3757] lr: 2.2040e-03 eta: 1 day, 0:10:08 time: 0.4362 data_time: 0.0234 memory: 17006 grad_norm: 9.2112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4953 loss: 1.4953 2022/07/29 18:27:55 - mmengine - INFO - Epoch(train) [125][3060/3757] lr: 2.2040e-03 eta: 1 day, 0:09:57 time: 0.4027 data_time: 0.0191 memory: 17006 grad_norm: 9.3003 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5543 loss: 1.5543 2022/07/29 18:28:04 - mmengine - INFO - Epoch(train) [125][3080/3757] lr: 2.2040e-03 eta: 1 day, 0:09:51 time: 0.4416 data_time: 0.0252 memory: 17006 grad_norm: 9.5721 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5724 loss: 1.5724 2022/07/29 18:28:12 - mmengine - INFO - Epoch(train) [125][3100/3757] lr: 2.2040e-03 eta: 1 day, 0:09:41 time: 0.4027 data_time: 0.0177 memory: 17006 grad_norm: 9.2643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3215 loss: 1.3215 2022/07/29 18:28:21 - mmengine - INFO - Epoch(train) [125][3120/3757] lr: 2.2040e-03 eta: 1 day, 0:09:31 time: 0.4052 data_time: 0.0209 memory: 17006 grad_norm: 9.3244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7033 loss: 1.7033 2022/07/29 18:28:27 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:28:30 - mmengine - INFO - Epoch(train) [125][3140/3757] lr: 2.2040e-03 eta: 1 day, 0:09:28 time: 0.4615 data_time: 0.0213 memory: 17006 grad_norm: 9.1447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5136 loss: 1.5136 2022/07/29 18:28:38 - mmengine - INFO - Epoch(train) [125][3160/3757] lr: 2.2040e-03 eta: 1 day, 0:09:17 time: 0.4060 data_time: 0.0215 memory: 17006 grad_norm: 9.6418 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5005 loss: 1.5005 2022/07/29 18:28:47 - mmengine - INFO - Epoch(train) [125][3180/3757] lr: 2.2040e-03 eta: 1 day, 0:09:11 time: 0.4383 data_time: 0.0210 memory: 17006 grad_norm: 9.3492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6260 loss: 1.6260 2022/07/29 18:28:55 - mmengine - INFO - Epoch(train) [125][3200/3757] lr: 2.2040e-03 eta: 1 day, 0:09:01 time: 0.4034 data_time: 0.0208 memory: 17006 grad_norm: 9.4923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3819 loss: 1.3819 2022/07/29 18:29:04 - mmengine - INFO - Epoch(train) [125][3220/3757] lr: 2.2040e-03 eta: 1 day, 0:09:00 time: 0.4771 data_time: 0.0207 memory: 17006 grad_norm: 9.2051 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5385 loss: 1.5385 2022/07/29 18:29:12 - mmengine - INFO - Epoch(train) [125][3240/3757] lr: 2.2040e-03 eta: 1 day, 0:08:49 time: 0.4026 data_time: 0.0207 memory: 17006 grad_norm: 9.2655 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4721 loss: 1.4721 2022/07/29 18:29:21 - mmengine - INFO - Epoch(train) [125][3260/3757] lr: 2.2040e-03 eta: 1 day, 0:08:39 time: 0.4063 data_time: 0.0187 memory: 17006 grad_norm: 9.2318 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6602 loss: 1.6602 2022/07/29 18:29:29 - mmengine - INFO - Epoch(train) [125][3280/3757] lr: 2.2040e-03 eta: 1 day, 0:08:31 time: 0.4208 data_time: 0.0221 memory: 17006 grad_norm: 9.2776 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7389 loss: 1.7389 2022/07/29 18:29:37 - mmengine - INFO - Epoch(train) [125][3300/3757] lr: 2.2040e-03 eta: 1 day, 0:08:21 time: 0.4056 data_time: 0.0213 memory: 17006 grad_norm: 9.0376 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3880 loss: 1.3880 2022/07/29 18:29:46 - mmengine - INFO - Epoch(train) [125][3320/3757] lr: 2.2040e-03 eta: 1 day, 0:08:18 time: 0.4647 data_time: 0.0231 memory: 17006 grad_norm: 9.4269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3884 loss: 1.3884 2022/07/29 18:29:55 - mmengine - INFO - Epoch(train) [125][3340/3757] lr: 2.2040e-03 eta: 1 day, 0:08:07 time: 0.4022 data_time: 0.0179 memory: 17006 grad_norm: 9.4864 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8423 loss: 1.8423 2022/07/29 18:30:03 - mmengine - INFO - Epoch(train) [125][3360/3757] lr: 2.2040e-03 eta: 1 day, 0:07:59 time: 0.4209 data_time: 0.0202 memory: 17006 grad_norm: 8.9171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5228 loss: 1.5228 2022/07/29 18:30:11 - mmengine - INFO - Epoch(train) [125][3380/3757] lr: 2.2040e-03 eta: 1 day, 0:07:49 time: 0.4054 data_time: 0.0192 memory: 17006 grad_norm: 9.4663 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2636 loss: 1.2636 2022/07/29 18:30:19 - mmengine - INFO - Epoch(train) [125][3400/3757] lr: 2.2040e-03 eta: 1 day, 0:07:39 time: 0.4052 data_time: 0.0202 memory: 17006 grad_norm: 9.2271 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6067 loss: 1.6067 2022/07/29 18:30:28 - mmengine - INFO - Epoch(train) [125][3420/3757] lr: 2.2040e-03 eta: 1 day, 0:07:31 time: 0.4240 data_time: 0.0210 memory: 17006 grad_norm: 9.3647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4391 loss: 1.4391 2022/07/29 18:30:37 - mmengine - INFO - Epoch(train) [125][3440/3757] lr: 2.2040e-03 eta: 1 day, 0:07:26 time: 0.4454 data_time: 0.0208 memory: 17006 grad_norm: 9.3872 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7965 loss: 1.7965 2022/07/29 18:30:45 - mmengine - INFO - Epoch(train) [125][3460/3757] lr: 2.2040e-03 eta: 1 day, 0:07:18 time: 0.4209 data_time: 0.0218 memory: 17006 grad_norm: 9.3373 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5120 loss: 1.5120 2022/07/29 18:30:53 - mmengine - INFO - Epoch(train) [125][3480/3757] lr: 2.2040e-03 eta: 1 day, 0:07:07 time: 0.4054 data_time: 0.0214 memory: 17006 grad_norm: 9.1794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4401 loss: 1.4401 2022/07/29 18:31:01 - mmengine - INFO - Epoch(train) [125][3500/3757] lr: 2.2040e-03 eta: 1 day, 0:06:57 time: 0.4034 data_time: 0.0180 memory: 17006 grad_norm: 9.0538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4518 loss: 1.4518 2022/07/29 18:31:10 - mmengine - INFO - Epoch(train) [125][3520/3757] lr: 2.2040e-03 eta: 1 day, 0:06:52 time: 0.4441 data_time: 0.0217 memory: 17006 grad_norm: 9.3198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6921 loss: 1.6921 2022/07/29 18:31:18 - mmengine - INFO - Epoch(train) [125][3540/3757] lr: 2.2040e-03 eta: 1 day, 0:06:42 time: 0.4062 data_time: 0.0182 memory: 17006 grad_norm: 9.2418 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4464 loss: 1.4464 2022/07/29 18:31:27 - mmengine - INFO - Epoch(train) [125][3560/3757] lr: 2.2040e-03 eta: 1 day, 0:06:33 time: 0.4177 data_time: 0.0221 memory: 17006 grad_norm: 9.3044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3122 loss: 1.3122 2022/07/29 18:31:35 - mmengine - INFO - Epoch(train) [125][3580/3757] lr: 2.2040e-03 eta: 1 day, 0:06:23 time: 0.4065 data_time: 0.0192 memory: 17006 grad_norm: 9.6705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5383 loss: 1.5383 2022/07/29 18:31:43 - mmengine - INFO - Epoch(train) [125][3600/3757] lr: 2.2040e-03 eta: 1 day, 0:06:14 time: 0.4159 data_time: 0.0242 memory: 17006 grad_norm: 9.4733 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4728 loss: 1.4728 2022/07/29 18:31:51 - mmengine - INFO - Epoch(train) [125][3620/3757] lr: 2.2040e-03 eta: 1 day, 0:06:04 time: 0.4015 data_time: 0.0176 memory: 17006 grad_norm: 9.5470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4651 loss: 1.4651 2022/07/29 18:31:59 - mmengine - INFO - Epoch(train) [125][3640/3757] lr: 2.2040e-03 eta: 1 day, 0:05:54 time: 0.4074 data_time: 0.0212 memory: 17006 grad_norm: 9.1972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3845 loss: 1.3845 2022/07/29 18:32:08 - mmengine - INFO - Epoch(train) [125][3660/3757] lr: 2.2040e-03 eta: 1 day, 0:05:45 time: 0.4140 data_time: 0.0201 memory: 17006 grad_norm: 9.0467 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6261 loss: 1.6261 2022/07/29 18:32:16 - mmengine - INFO - Epoch(train) [125][3680/3757] lr: 2.2040e-03 eta: 1 day, 0:05:35 time: 0.4103 data_time: 0.0213 memory: 17006 grad_norm: 9.4892 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6912 loss: 1.6912 2022/07/29 18:32:24 - mmengine - INFO - Epoch(train) [125][3700/3757] lr: 2.2040e-03 eta: 1 day, 0:05:26 time: 0.4126 data_time: 0.0217 memory: 17006 grad_norm: 9.3500 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4683 loss: 1.4683 2022/07/29 18:32:32 - mmengine - INFO - Epoch(train) [125][3720/3757] lr: 2.2040e-03 eta: 1 day, 0:05:15 time: 0.4042 data_time: 0.0205 memory: 17006 grad_norm: 9.6561 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9843 loss: 1.9843 2022/07/29 18:32:41 - mmengine - INFO - Epoch(train) [125][3740/3757] lr: 2.2040e-03 eta: 1 day, 0:05:10 time: 0.4418 data_time: 0.0224 memory: 17006 grad_norm: 9.5137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9556 loss: 1.9556 2022/07/29 18:32:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:32:48 - mmengine - INFO - Epoch(train) [125][3757/3757] lr: 2.2040e-03 eta: 1 day, 0:05:10 time: 0.3956 data_time: 0.0197 memory: 17006 grad_norm: 9.3353 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0049 loss: 2.0049 2022/07/29 18:32:48 - mmengine - INFO - Saving checkpoint at 125 epochs 2022/07/29 18:33:02 - mmengine - INFO - Epoch(train) [126][20/3757] lr: 2.1321e-03 eta: 1 day, 0:04:28 time: 0.5625 data_time: 0.1718 memory: 17006 grad_norm: 9.0361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5587 loss: 1.5587 2022/07/29 18:33:11 - mmengine - INFO - Epoch(train) [126][40/3757] lr: 2.1321e-03 eta: 1 day, 0:04:21 time: 0.4287 data_time: 0.0230 memory: 17006 grad_norm: 9.6665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5610 loss: 1.5610 2022/07/29 18:33:19 - mmengine - INFO - Epoch(train) [126][60/3757] lr: 2.1321e-03 eta: 1 day, 0:04:11 time: 0.4091 data_time: 0.0202 memory: 17006 grad_norm: 9.6976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/07/29 18:33:27 - mmengine - INFO - Epoch(train) [126][80/3757] lr: 2.1321e-03 eta: 1 day, 0:04:03 time: 0.4169 data_time: 0.0207 memory: 17006 grad_norm: 9.3180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6735 loss: 1.6735 2022/07/29 18:33:35 - mmengine - INFO - Epoch(train) [126][100/3757] lr: 2.1321e-03 eta: 1 day, 0:03:53 time: 0.4072 data_time: 0.0199 memory: 17006 grad_norm: 9.6047 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6641 loss: 1.6641 2022/07/29 18:33:44 - mmengine - INFO - Epoch(train) [126][120/3757] lr: 2.1321e-03 eta: 1 day, 0:03:44 time: 0.4162 data_time: 0.0208 memory: 17006 grad_norm: 9.4177 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7400 loss: 1.7400 2022/07/29 18:33:52 - mmengine - INFO - Epoch(train) [126][140/3757] lr: 2.1321e-03 eta: 1 day, 0:03:33 time: 0.4028 data_time: 0.0198 memory: 17006 grad_norm: 9.3095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4550 loss: 1.4550 2022/07/29 18:34:00 - mmengine - INFO - Epoch(train) [126][160/3757] lr: 2.1321e-03 eta: 1 day, 0:03:24 time: 0.4083 data_time: 0.0220 memory: 17006 grad_norm: 9.3530 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7761 loss: 1.7761 2022/07/29 18:34:09 - mmengine - INFO - Epoch(train) [126][180/3757] lr: 2.1321e-03 eta: 1 day, 0:03:16 time: 0.4274 data_time: 0.0188 memory: 17006 grad_norm: 9.6792 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6479 loss: 1.6479 2022/07/29 18:34:17 - mmengine - INFO - Epoch(train) [126][200/3757] lr: 2.1321e-03 eta: 1 day, 0:03:07 time: 0.4121 data_time: 0.0228 memory: 17006 grad_norm: 9.1779 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/07/29 18:34:26 - mmengine - INFO - Epoch(train) [126][220/3757] lr: 2.1321e-03 eta: 1 day, 0:03:04 time: 0.4596 data_time: 0.0188 memory: 17006 grad_norm: 9.6143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6407 loss: 1.6407 2022/07/29 18:34:34 - mmengine - INFO - Epoch(train) [126][240/3757] lr: 2.1321e-03 eta: 1 day, 0:02:54 time: 0.4087 data_time: 0.0225 memory: 17006 grad_norm: 9.2315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5638 loss: 1.5638 2022/07/29 18:34:42 - mmengine - INFO - Epoch(train) [126][260/3757] lr: 2.1321e-03 eta: 1 day, 0:02:43 time: 0.4015 data_time: 0.0177 memory: 17006 grad_norm: 9.3787 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4827 loss: 1.4827 2022/07/29 18:34:51 - mmengine - INFO - Epoch(train) [126][280/3757] lr: 2.1321e-03 eta: 1 day, 0:02:35 time: 0.4206 data_time: 0.0196 memory: 17006 grad_norm: 8.7871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5231 loss: 1.5231 2022/07/29 18:34:59 - mmengine - INFO - Epoch(train) [126][300/3757] lr: 2.1321e-03 eta: 1 day, 0:02:26 time: 0.4104 data_time: 0.0202 memory: 17006 grad_norm: 9.4885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5618 loss: 1.5618 2022/07/29 18:35:07 - mmengine - INFO - Epoch(train) [126][320/3757] lr: 2.1321e-03 eta: 1 day, 0:02:18 time: 0.4242 data_time: 0.0220 memory: 17006 grad_norm: 9.2172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/07/29 18:35:16 - mmengine - INFO - Epoch(train) [126][340/3757] lr: 2.1321e-03 eta: 1 day, 0:02:08 time: 0.4122 data_time: 0.0204 memory: 17006 grad_norm: 10.0775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8320 loss: 1.8320 2022/07/29 18:35:24 - mmengine - INFO - Epoch(train) [126][360/3757] lr: 2.1321e-03 eta: 1 day, 0:02:02 time: 0.4321 data_time: 0.0229 memory: 17006 grad_norm: 9.2467 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4471 loss: 1.4471 2022/07/29 18:35:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:35:32 - mmengine - INFO - Epoch(train) [126][380/3757] lr: 2.1321e-03 eta: 1 day, 0:01:51 time: 0.4020 data_time: 0.0182 memory: 17006 grad_norm: 9.2516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5149 loss: 1.5149 2022/07/29 18:35:41 - mmengine - INFO - Epoch(train) [126][400/3757] lr: 2.1321e-03 eta: 1 day, 0:01:42 time: 0.4115 data_time: 0.0247 memory: 17006 grad_norm: 9.1246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7745 loss: 1.7745 2022/07/29 18:35:49 - mmengine - INFO - Epoch(train) [126][420/3757] lr: 2.1321e-03 eta: 1 day, 0:01:33 time: 0.4166 data_time: 0.0182 memory: 17006 grad_norm: 9.2684 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7341 loss: 1.7341 2022/07/29 18:35:58 - mmengine - INFO - Epoch(train) [126][440/3757] lr: 2.1321e-03 eta: 1 day, 0:01:25 time: 0.4215 data_time: 0.0251 memory: 17006 grad_norm: 9.6398 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7643 loss: 1.7643 2022/07/29 18:36:06 - mmengine - INFO - Epoch(train) [126][460/3757] lr: 2.1321e-03 eta: 1 day, 0:01:15 time: 0.4085 data_time: 0.0176 memory: 17006 grad_norm: 9.1991 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5337 loss: 1.5337 2022/07/29 18:36:14 - mmengine - INFO - Epoch(train) [126][480/3757] lr: 2.1321e-03 eta: 1 day, 0:01:08 time: 0.4293 data_time: 0.0234 memory: 17006 grad_norm: 9.1182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3213 loss: 1.3213 2022/07/29 18:36:22 - mmengine - INFO - Epoch(train) [126][500/3757] lr: 2.1321e-03 eta: 1 day, 0:00:58 time: 0.4031 data_time: 0.0177 memory: 17006 grad_norm: 9.3755 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6009 loss: 1.6009 2022/07/29 18:36:31 - mmengine - INFO - Epoch(train) [126][520/3757] lr: 2.1321e-03 eta: 1 day, 0:00:48 time: 0.4070 data_time: 0.0211 memory: 17006 grad_norm: 9.6346 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6950 loss: 1.6950 2022/07/29 18:36:40 - mmengine - INFO - Epoch(train) [126][540/3757] lr: 2.1321e-03 eta: 1 day, 0:00:44 time: 0.4540 data_time: 0.0208 memory: 17006 grad_norm: 9.0712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5231 loss: 1.5231 2022/07/29 18:36:48 - mmengine - INFO - Epoch(train) [126][560/3757] lr: 2.1321e-03 eta: 1 day, 0:00:34 time: 0.4067 data_time: 0.0213 memory: 17006 grad_norm: 9.1260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5279 loss: 1.5279 2022/07/29 18:36:57 - mmengine - INFO - Epoch(train) [126][580/3757] lr: 2.1321e-03 eta: 1 day, 0:00:27 time: 0.4336 data_time: 0.0211 memory: 17006 grad_norm: 9.6674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5669 loss: 1.5669 2022/07/29 18:37:05 - mmengine - INFO - Epoch(train) [126][600/3757] lr: 2.1321e-03 eta: 1 day, 0:00:17 time: 0.4076 data_time: 0.0215 memory: 17006 grad_norm: 9.3436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4036 loss: 1.4036 2022/07/29 18:37:13 - mmengine - INFO - Epoch(train) [126][620/3757] lr: 2.1321e-03 eta: 1 day, 0:00:07 time: 0.4036 data_time: 0.0182 memory: 17006 grad_norm: 9.0339 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4590 loss: 1.4590 2022/07/29 18:37:22 - mmengine - INFO - Epoch(train) [126][640/3757] lr: 2.1321e-03 eta: 1 day, 0:00:04 time: 0.4661 data_time: 0.0228 memory: 17006 grad_norm: 8.8199 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2695 loss: 1.2695 2022/07/29 18:37:30 - mmengine - INFO - Epoch(train) [126][660/3757] lr: 2.1321e-03 eta: 23:59:54 time: 0.4069 data_time: 0.0176 memory: 17006 grad_norm: 9.6154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5548 loss: 1.5548 2022/07/29 18:37:40 - mmengine - INFO - Epoch(train) [126][680/3757] lr: 2.1321e-03 eta: 23:59:51 time: 0.4654 data_time: 0.0239 memory: 17006 grad_norm: 9.4553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6217 loss: 1.6217 2022/07/29 18:37:48 - mmengine - INFO - Epoch(train) [126][700/3757] lr: 2.1321e-03 eta: 23:59:41 time: 0.4025 data_time: 0.0179 memory: 17006 grad_norm: 9.3887 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5928 loss: 1.5928 2022/07/29 18:37:57 - mmengine - INFO - Epoch(train) [126][720/3757] lr: 2.1321e-03 eta: 23:59:35 time: 0.4383 data_time: 0.0223 memory: 17006 grad_norm: 9.1492 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5433 loss: 1.5433 2022/07/29 18:38:05 - mmengine - INFO - Epoch(train) [126][740/3757] lr: 2.1321e-03 eta: 23:59:25 time: 0.4049 data_time: 0.0179 memory: 17006 grad_norm: 9.5547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6922 loss: 1.6922 2022/07/29 18:38:13 - mmengine - INFO - Epoch(train) [126][760/3757] lr: 2.1321e-03 eta: 23:59:15 time: 0.4057 data_time: 0.0221 memory: 17006 grad_norm: 9.1017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5081 loss: 1.5081 2022/07/29 18:38:22 - mmengine - INFO - Epoch(train) [126][780/3757] lr: 2.1321e-03 eta: 23:59:12 time: 0.4718 data_time: 0.0239 memory: 17006 grad_norm: 9.3074 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6646 loss: 1.6646 2022/07/29 18:38:30 - mmengine - INFO - Epoch(train) [126][800/3757] lr: 2.1321e-03 eta: 23:59:02 time: 0.4057 data_time: 0.0213 memory: 17006 grad_norm: 9.3639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4920 loss: 1.4920 2022/07/29 18:38:39 - mmengine - INFO - Epoch(train) [126][820/3757] lr: 2.1321e-03 eta: 23:58:56 time: 0.4339 data_time: 0.0218 memory: 17006 grad_norm: 9.4346 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8489 loss: 1.8489 2022/07/29 18:38:47 - mmengine - INFO - Epoch(train) [126][840/3757] lr: 2.1321e-03 eta: 23:58:47 time: 0.4140 data_time: 0.0224 memory: 17006 grad_norm: 9.8926 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6525 loss: 1.6525 2022/07/29 18:38:56 - mmengine - INFO - Epoch(train) [126][860/3757] lr: 2.1321e-03 eta: 23:58:38 time: 0.4158 data_time: 0.0223 memory: 17006 grad_norm: 9.3823 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6393 loss: 1.6393 2022/07/29 18:39:04 - mmengine - INFO - Epoch(train) [126][880/3757] lr: 2.1321e-03 eta: 23:58:31 time: 0.4313 data_time: 0.0206 memory: 17006 grad_norm: 8.8283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3921 loss: 1.3921 2022/07/29 18:39:12 - mmengine - INFO - Epoch(train) [126][900/3757] lr: 2.1321e-03 eta: 23:58:21 time: 0.4046 data_time: 0.0180 memory: 17006 grad_norm: 9.6595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7255 loss: 1.7255 2022/07/29 18:39:21 - mmengine - INFO - Epoch(train) [126][920/3757] lr: 2.1321e-03 eta: 23:58:12 time: 0.4210 data_time: 0.0224 memory: 17006 grad_norm: 9.2556 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4984 loss: 1.4984 2022/07/29 18:39:29 - mmengine - INFO - Epoch(train) [126][940/3757] lr: 2.1321e-03 eta: 23:58:02 time: 0.4047 data_time: 0.0183 memory: 17006 grad_norm: 9.0828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3994 loss: 1.3994 2022/07/29 18:39:38 - mmengine - INFO - Epoch(train) [126][960/3757] lr: 2.1321e-03 eta: 23:58:00 time: 0.4683 data_time: 0.0234 memory: 17006 grad_norm: 9.7183 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8232 loss: 1.8232 2022/07/29 18:39:47 - mmengine - INFO - Epoch(train) [126][980/3757] lr: 2.1321e-03 eta: 23:57:50 time: 0.4055 data_time: 0.0176 memory: 17006 grad_norm: 9.4356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5024 loss: 1.5024 2022/07/29 18:39:55 - mmengine - INFO - Epoch(train) [126][1000/3757] lr: 2.1321e-03 eta: 23:57:44 time: 0.4408 data_time: 0.0250 memory: 17006 grad_norm: 9.1389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4863 loss: 1.4863 2022/07/29 18:40:04 - mmengine - INFO - Epoch(train) [126][1020/3757] lr: 2.1321e-03 eta: 23:57:34 time: 0.4039 data_time: 0.0175 memory: 17006 grad_norm: 9.3884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6122 loss: 1.6122 2022/07/29 18:40:12 - mmengine - INFO - Epoch(train) [126][1040/3757] lr: 2.1321e-03 eta: 23:57:26 time: 0.4281 data_time: 0.0203 memory: 17006 grad_norm: 9.2842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5989 loss: 1.5989 2022/07/29 18:40:21 - mmengine - INFO - Epoch(train) [126][1060/3757] lr: 2.1321e-03 eta: 23:57:18 time: 0.4230 data_time: 0.0194 memory: 17006 grad_norm: 9.2089 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5562 loss: 1.5562 2022/07/29 18:40:29 - mmengine - INFO - Epoch(train) [126][1080/3757] lr: 2.1321e-03 eta: 23:57:08 time: 0.4056 data_time: 0.0210 memory: 17006 grad_norm: 9.5136 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4969 loss: 1.4969 2022/07/29 18:40:37 - mmengine - INFO - Epoch(train) [126][1100/3757] lr: 2.1321e-03 eta: 23:57:00 time: 0.4198 data_time: 0.0205 memory: 17006 grad_norm: 9.7412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6979 loss: 1.6979 2022/07/29 18:40:45 - mmengine - INFO - Epoch(train) [126][1120/3757] lr: 2.1321e-03 eta: 23:56:51 time: 0.4144 data_time: 0.0217 memory: 17006 grad_norm: 9.6550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6011 loss: 1.6011 2022/07/29 18:40:54 - mmengine - INFO - Epoch(train) [126][1140/3757] lr: 2.1321e-03 eta: 23:56:41 time: 0.4080 data_time: 0.0180 memory: 17006 grad_norm: 9.3410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5462 loss: 1.5462 2022/07/29 18:41:02 - mmengine - INFO - Epoch(train) [126][1160/3757] lr: 2.1321e-03 eta: 23:56:31 time: 0.4096 data_time: 0.0220 memory: 17006 grad_norm: 9.0151 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6787 loss: 1.6787 2022/07/29 18:41:10 - mmengine - INFO - Epoch(train) [126][1180/3757] lr: 2.1321e-03 eta: 23:56:22 time: 0.4085 data_time: 0.0197 memory: 17006 grad_norm: 9.0753 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5834 loss: 1.5834 2022/07/29 18:41:18 - mmengine - INFO - Epoch(train) [126][1200/3757] lr: 2.1321e-03 eta: 23:56:13 time: 0.4118 data_time: 0.0213 memory: 17006 grad_norm: 8.8247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4947 loss: 1.4947 2022/07/29 18:41:27 - mmengine - INFO - Epoch(train) [126][1220/3757] lr: 2.1321e-03 eta: 23:56:06 time: 0.4311 data_time: 0.0200 memory: 17006 grad_norm: 9.0511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5726 loss: 1.5726 2022/07/29 18:41:35 - mmengine - INFO - Epoch(train) [126][1240/3757] lr: 2.1321e-03 eta: 23:55:56 time: 0.4076 data_time: 0.0211 memory: 17006 grad_norm: 8.7072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4383 loss: 1.4383 2022/07/29 18:41:43 - mmengine - INFO - Epoch(train) [126][1260/3757] lr: 2.1321e-03 eta: 23:55:45 time: 0.4024 data_time: 0.0177 memory: 17006 grad_norm: 9.1378 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5727 loss: 1.5727 2022/07/29 18:41:53 - mmengine - INFO - Epoch(train) [126][1280/3757] lr: 2.1321e-03 eta: 23:55:42 time: 0.4656 data_time: 0.0221 memory: 17006 grad_norm: 9.6826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9425 loss: 1.9425 2022/07/29 18:42:01 - mmengine - INFO - Epoch(train) [126][1300/3757] lr: 2.1321e-03 eta: 23:55:32 time: 0.4046 data_time: 0.0185 memory: 17006 grad_norm: 9.4083 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5280 loss: 1.5280 2022/07/29 18:42:09 - mmengine - INFO - Epoch(train) [126][1320/3757] lr: 2.1321e-03 eta: 23:55:23 time: 0.4141 data_time: 0.0218 memory: 17006 grad_norm: 9.3952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5567 loss: 1.5567 2022/07/29 18:42:17 - mmengine - INFO - Epoch(train) [126][1340/3757] lr: 2.1321e-03 eta: 23:55:14 time: 0.4139 data_time: 0.0186 memory: 17006 grad_norm: 9.8188 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6098 loss: 1.6098 2022/07/29 18:42:26 - mmengine - INFO - Epoch(train) [126][1360/3757] lr: 2.1321e-03 eta: 23:55:06 time: 0.4195 data_time: 0.0217 memory: 17006 grad_norm: 9.2382 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6355 loss: 1.6355 2022/07/29 18:42:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:42:34 - mmengine - INFO - Epoch(train) [126][1380/3757] lr: 2.1321e-03 eta: 23:54:56 time: 0.4041 data_time: 0.0180 memory: 17006 grad_norm: 9.4145 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6122 loss: 1.6122 2022/07/29 18:42:42 - mmengine - INFO - Epoch(train) [126][1400/3757] lr: 2.1321e-03 eta: 23:54:49 time: 0.4360 data_time: 0.0200 memory: 17006 grad_norm: 9.6714 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6438 loss: 1.6438 2022/07/29 18:42:51 - mmengine - INFO - Epoch(train) [126][1420/3757] lr: 2.1321e-03 eta: 23:54:39 time: 0.4085 data_time: 0.0177 memory: 17006 grad_norm: 9.4487 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6193 loss: 1.6193 2022/07/29 18:42:59 - mmengine - INFO - Epoch(train) [126][1440/3757] lr: 2.1321e-03 eta: 23:54:32 time: 0.4240 data_time: 0.0211 memory: 17006 grad_norm: 9.4827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5784 loss: 1.5784 2022/07/29 18:43:08 - mmengine - INFO - Epoch(train) [126][1460/3757] lr: 2.1321e-03 eta: 23:54:24 time: 0.4249 data_time: 0.0229 memory: 17006 grad_norm: 9.4393 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6522 loss: 1.6522 2022/07/29 18:43:16 - mmengine - INFO - Epoch(train) [126][1480/3757] lr: 2.1321e-03 eta: 23:54:15 time: 0.4117 data_time: 0.0210 memory: 17006 grad_norm: 9.2666 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3537 loss: 1.3537 2022/07/29 18:43:24 - mmengine - INFO - Epoch(train) [126][1500/3757] lr: 2.1321e-03 eta: 23:54:06 time: 0.4163 data_time: 0.0184 memory: 17006 grad_norm: 9.5315 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6991 loss: 1.6991 2022/07/29 18:43:32 - mmengine - INFO - Epoch(train) [126][1520/3757] lr: 2.1321e-03 eta: 23:53:56 time: 0.4047 data_time: 0.0199 memory: 17006 grad_norm: 9.2664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6509 loss: 1.6509 2022/07/29 18:43:40 - mmengine - INFO - Epoch(train) [126][1540/3757] lr: 2.1321e-03 eta: 23:53:45 time: 0.4027 data_time: 0.0170 memory: 17006 grad_norm: 9.5720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6512 loss: 1.6512 2022/07/29 18:43:49 - mmengine - INFO - Epoch(train) [126][1560/3757] lr: 2.1321e-03 eta: 23:53:38 time: 0.4295 data_time: 0.0219 memory: 17006 grad_norm: 9.6041 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0183 loss: 2.0183 2022/07/29 18:43:57 - mmengine - INFO - Epoch(train) [126][1580/3757] lr: 2.1321e-03 eta: 23:53:28 time: 0.4038 data_time: 0.0181 memory: 17006 grad_norm: 9.1299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7183 loss: 1.7183 2022/07/29 18:44:06 - mmengine - INFO - Epoch(train) [126][1600/3757] lr: 2.1321e-03 eta: 23:53:20 time: 0.4234 data_time: 0.0220 memory: 17006 grad_norm: 9.1398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6050 loss: 1.6050 2022/07/29 18:44:14 - mmengine - INFO - Epoch(train) [126][1620/3757] lr: 2.1321e-03 eta: 23:53:10 time: 0.4047 data_time: 0.0184 memory: 17006 grad_norm: 9.5490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4860 loss: 1.4860 2022/07/29 18:44:22 - mmengine - INFO - Epoch(train) [126][1640/3757] lr: 2.1321e-03 eta: 23:53:01 time: 0.4170 data_time: 0.0203 memory: 17006 grad_norm: 8.7801 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5734 loss: 1.5734 2022/07/29 18:44:31 - mmengine - INFO - Epoch(train) [126][1660/3757] lr: 2.1321e-03 eta: 23:52:55 time: 0.4363 data_time: 0.0202 memory: 17006 grad_norm: 9.4289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6670 loss: 1.6670 2022/07/29 18:44:39 - mmengine - INFO - Epoch(train) [126][1680/3757] lr: 2.1321e-03 eta: 23:52:45 time: 0.4051 data_time: 0.0211 memory: 17006 grad_norm: 9.1206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4368 loss: 1.4368 2022/07/29 18:44:47 - mmengine - INFO - Epoch(train) [126][1700/3757] lr: 2.1321e-03 eta: 23:52:37 time: 0.4211 data_time: 0.0202 memory: 17006 grad_norm: 9.5865 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5748 loss: 1.5748 2022/07/29 18:44:56 - mmengine - INFO - Epoch(train) [126][1720/3757] lr: 2.1321e-03 eta: 23:52:27 time: 0.4064 data_time: 0.0225 memory: 17006 grad_norm: 9.6946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7423 loss: 1.7423 2022/07/29 18:45:04 - mmengine - INFO - Epoch(train) [126][1740/3757] lr: 2.1321e-03 eta: 23:52:16 time: 0.4031 data_time: 0.0179 memory: 17006 grad_norm: 9.7344 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4423 loss: 1.4423 2022/07/29 18:45:13 - mmengine - INFO - Epoch(train) [126][1760/3757] lr: 2.1321e-03 eta: 23:52:11 time: 0.4486 data_time: 0.0224 memory: 17006 grad_norm: 9.6672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2828 loss: 1.2828 2022/07/29 18:45:21 - mmengine - INFO - Epoch(train) [126][1780/3757] lr: 2.1321e-03 eta: 23:52:01 time: 0.4048 data_time: 0.0187 memory: 17006 grad_norm: 9.9028 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5438 loss: 1.5438 2022/07/29 18:45:29 - mmengine - INFO - Epoch(train) [126][1800/3757] lr: 2.1321e-03 eta: 23:51:54 time: 0.4283 data_time: 0.0221 memory: 17006 grad_norm: 9.5326 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5381 loss: 1.5381 2022/07/29 18:45:38 - mmengine - INFO - Epoch(train) [126][1820/3757] lr: 2.1321e-03 eta: 23:51:48 time: 0.4396 data_time: 0.0174 memory: 17006 grad_norm: 9.7921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5811 loss: 1.5811 2022/07/29 18:45:47 - mmengine - INFO - Epoch(train) [126][1840/3757] lr: 2.1321e-03 eta: 23:51:41 time: 0.4363 data_time: 0.0273 memory: 17006 grad_norm: 10.1313 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5548 loss: 1.5548 2022/07/29 18:45:55 - mmengine - INFO - Epoch(train) [126][1860/3757] lr: 2.1321e-03 eta: 23:51:31 time: 0.4023 data_time: 0.0174 memory: 17006 grad_norm: 9.2265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5419 loss: 1.5419 2022/07/29 18:46:03 - mmengine - INFO - Epoch(train) [126][1880/3757] lr: 2.1321e-03 eta: 23:51:21 time: 0.4045 data_time: 0.0205 memory: 17006 grad_norm: 9.7983 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8905 loss: 1.8905 2022/07/29 18:46:13 - mmengine - INFO - Epoch(train) [126][1900/3757] lr: 2.1321e-03 eta: 23:51:19 time: 0.4728 data_time: 0.0207 memory: 17006 grad_norm: 9.6625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7167 loss: 1.7167 2022/07/29 18:46:21 - mmengine - INFO - Epoch(train) [126][1920/3757] lr: 2.1321e-03 eta: 23:51:09 time: 0.4067 data_time: 0.0223 memory: 17006 grad_norm: 9.5316 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4872 loss: 1.4872 2022/07/29 18:46:30 - mmengine - INFO - Epoch(train) [126][1940/3757] lr: 2.1321e-03 eta: 23:51:03 time: 0.4414 data_time: 0.0194 memory: 17006 grad_norm: 9.3980 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4821 loss: 1.4821 2022/07/29 18:46:38 - mmengine - INFO - Epoch(train) [126][1960/3757] lr: 2.1321e-03 eta: 23:50:53 time: 0.4068 data_time: 0.0213 memory: 17006 grad_norm: 9.2871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3424 loss: 1.3424 2022/07/29 18:46:47 - mmengine - INFO - Epoch(train) [126][1980/3757] lr: 2.1321e-03 eta: 23:50:47 time: 0.4395 data_time: 0.0183 memory: 17006 grad_norm: 9.4390 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/07/29 18:46:55 - mmengine - INFO - Epoch(train) [126][2000/3757] lr: 2.1321e-03 eta: 23:50:37 time: 0.4045 data_time: 0.0213 memory: 17006 grad_norm: 9.6175 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5677 loss: 1.5677 2022/07/29 18:47:03 - mmengine - INFO - Epoch(train) [126][2020/3757] lr: 2.1321e-03 eta: 23:50:27 time: 0.4049 data_time: 0.0193 memory: 17006 grad_norm: 9.5330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4662 loss: 1.4662 2022/07/29 18:47:12 - mmengine - INFO - Epoch(train) [126][2040/3757] lr: 2.1321e-03 eta: 23:50:24 time: 0.4655 data_time: 0.0215 memory: 17006 grad_norm: 9.5579 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7952 loss: 1.7952 2022/07/29 18:47:20 - mmengine - INFO - Epoch(train) [126][2060/3757] lr: 2.1321e-03 eta: 23:50:14 time: 0.4077 data_time: 0.0197 memory: 17006 grad_norm: 8.8655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5194 loss: 1.5194 2022/07/29 18:47:29 - mmengine - INFO - Epoch(train) [126][2080/3757] lr: 2.1321e-03 eta: 23:50:05 time: 0.4127 data_time: 0.0212 memory: 17006 grad_norm: 9.7826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4708 loss: 1.4708 2022/07/29 18:47:37 - mmengine - INFO - Epoch(train) [126][2100/3757] lr: 2.1321e-03 eta: 23:49:56 time: 0.4135 data_time: 0.0197 memory: 17006 grad_norm: 9.1122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7727 loss: 1.7727 2022/07/29 18:47:45 - mmengine - INFO - Epoch(train) [126][2120/3757] lr: 2.1321e-03 eta: 23:49:46 time: 0.4054 data_time: 0.0212 memory: 17006 grad_norm: 9.7176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6030 loss: 1.6030 2022/07/29 18:47:53 - mmengine - INFO - Epoch(train) [126][2140/3757] lr: 2.1321e-03 eta: 23:49:36 time: 0.4040 data_time: 0.0201 memory: 17006 grad_norm: 9.9507 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5859 loss: 1.5859 2022/07/29 18:48:01 - mmengine - INFO - Epoch(train) [126][2160/3757] lr: 2.1321e-03 eta: 23:49:26 time: 0.4092 data_time: 0.0231 memory: 17006 grad_norm: 9.5029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7653 loss: 1.7653 2022/07/29 18:48:10 - mmengine - INFO - Epoch(train) [126][2180/3757] lr: 2.1321e-03 eta: 23:49:17 time: 0.4161 data_time: 0.0180 memory: 17006 grad_norm: 9.5215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5854 loss: 1.5854 2022/07/29 18:48:18 - mmengine - INFO - Epoch(train) [126][2200/3757] lr: 2.1321e-03 eta: 23:49:08 time: 0.4140 data_time: 0.0232 memory: 17006 grad_norm: 9.2035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6274 loss: 1.6274 2022/07/29 18:48:26 - mmengine - INFO - Epoch(train) [126][2220/3757] lr: 2.1321e-03 eta: 23:48:59 time: 0.4112 data_time: 0.0201 memory: 17006 grad_norm: 9.2506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7152 loss: 1.7152 2022/07/29 18:48:34 - mmengine - INFO - Epoch(train) [126][2240/3757] lr: 2.1321e-03 eta: 23:48:49 time: 0.4045 data_time: 0.0203 memory: 17006 grad_norm: 9.3549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5191 loss: 1.5191 2022/07/29 18:48:43 - mmengine - INFO - Epoch(train) [126][2260/3757] lr: 2.1321e-03 eta: 23:48:39 time: 0.4077 data_time: 0.0177 memory: 17006 grad_norm: 9.5383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0811 loss: 2.0811 2022/07/29 18:48:51 - mmengine - INFO - Epoch(train) [126][2280/3757] lr: 2.1321e-03 eta: 23:48:30 time: 0.4137 data_time: 0.0214 memory: 17006 grad_norm: 9.4501 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5286 loss: 1.5286 2022/07/29 18:48:59 - mmengine - INFO - Epoch(train) [126][2300/3757] lr: 2.1321e-03 eta: 23:48:21 time: 0.4160 data_time: 0.0219 memory: 17006 grad_norm: 9.2367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6450 loss: 1.6450 2022/07/29 18:49:07 - mmengine - INFO - Epoch(train) [126][2320/3757] lr: 2.1321e-03 eta: 23:48:12 time: 0.4071 data_time: 0.0214 memory: 17006 grad_norm: 9.4196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1185 loss: 1.1185 2022/07/29 18:49:16 - mmengine - INFO - Epoch(train) [126][2340/3757] lr: 2.1321e-03 eta: 23:48:03 time: 0.4162 data_time: 0.0236 memory: 17006 grad_norm: 9.4649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6441 loss: 1.6441 2022/07/29 18:49:24 - mmengine - INFO - Epoch(train) [126][2360/3757] lr: 2.1321e-03 eta: 23:47:53 time: 0.4048 data_time: 0.0206 memory: 17006 grad_norm: 9.2550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6165 loss: 1.6165 2022/07/29 18:49:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:49:32 - mmengine - INFO - Epoch(train) [126][2380/3757] lr: 2.1321e-03 eta: 23:47:43 time: 0.4098 data_time: 0.0207 memory: 17006 grad_norm: 9.6800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5042 loss: 1.5042 2022/07/29 18:49:42 - mmengine - INFO - Epoch(train) [126][2400/3757] lr: 2.1321e-03 eta: 23:47:42 time: 0.4787 data_time: 0.0925 memory: 17006 grad_norm: 9.6981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6713 loss: 1.6713 2022/07/29 18:49:50 - mmengine - INFO - Epoch(train) [126][2420/3757] lr: 2.1321e-03 eta: 23:47:32 time: 0.4069 data_time: 0.0192 memory: 17006 grad_norm: 9.6343 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5565 loss: 1.5565 2022/07/29 18:49:58 - mmengine - INFO - Epoch(train) [126][2440/3757] lr: 2.1321e-03 eta: 23:47:22 time: 0.4084 data_time: 0.0214 memory: 17006 grad_norm: 9.5176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5841 loss: 1.5841 2022/07/29 18:50:06 - mmengine - INFO - Epoch(train) [126][2460/3757] lr: 2.1321e-03 eta: 23:47:13 time: 0.4131 data_time: 0.0191 memory: 17006 grad_norm: 9.5190 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8258 loss: 1.8258 2022/07/29 18:50:14 - mmengine - INFO - Epoch(train) [126][2480/3757] lr: 2.1321e-03 eta: 23:47:03 time: 0.4072 data_time: 0.0208 memory: 17006 grad_norm: 9.4055 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6917 loss: 1.6917 2022/07/29 18:50:23 - mmengine - INFO - Epoch(train) [126][2500/3757] lr: 2.1321e-03 eta: 23:46:55 time: 0.4242 data_time: 0.0183 memory: 17006 grad_norm: 9.0885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/07/29 18:50:32 - mmengine - INFO - Epoch(train) [126][2520/3757] lr: 2.1321e-03 eta: 23:46:49 time: 0.4397 data_time: 0.0209 memory: 17006 grad_norm: 9.1491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3261 loss: 1.3261 2022/07/29 18:50:40 - mmengine - INFO - Epoch(train) [126][2540/3757] lr: 2.1321e-03 eta: 23:46:39 time: 0.4059 data_time: 0.0195 memory: 17006 grad_norm: 9.5274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8311 loss: 1.8311 2022/07/29 18:50:49 - mmengine - INFO - Epoch(train) [126][2560/3757] lr: 2.1321e-03 eta: 23:46:35 time: 0.4524 data_time: 0.0246 memory: 17006 grad_norm: 9.3333 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7428 loss: 1.7428 2022/07/29 18:50:57 - mmengine - INFO - Epoch(train) [126][2580/3757] lr: 2.1321e-03 eta: 23:46:25 time: 0.4058 data_time: 0.0197 memory: 17006 grad_norm: 9.5752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5920 loss: 1.5920 2022/07/29 18:51:06 - mmengine - INFO - Epoch(train) [126][2600/3757] lr: 2.1321e-03 eta: 23:46:16 time: 0.4192 data_time: 0.0228 memory: 17006 grad_norm: 9.6301 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7913 loss: 1.7913 2022/07/29 18:51:14 - mmengine - INFO - Epoch(train) [126][2620/3757] lr: 2.1321e-03 eta: 23:46:06 time: 0.4048 data_time: 0.0208 memory: 17006 grad_norm: 9.3497 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6464 loss: 1.6464 2022/07/29 18:51:22 - mmengine - INFO - Epoch(train) [126][2640/3757] lr: 2.1321e-03 eta: 23:45:59 time: 0.4275 data_time: 0.0212 memory: 17006 grad_norm: 9.5640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5961 loss: 1.5961 2022/07/29 18:51:30 - mmengine - INFO - Epoch(train) [126][2660/3757] lr: 2.1321e-03 eta: 23:45:49 time: 0.4095 data_time: 0.0194 memory: 17006 grad_norm: 9.0833 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4054 loss: 1.4054 2022/07/29 18:51:39 - mmengine - INFO - Epoch(train) [126][2680/3757] lr: 2.1321e-03 eta: 23:45:40 time: 0.4094 data_time: 0.0222 memory: 17006 grad_norm: 9.5533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5947 loss: 1.5947 2022/07/29 18:51:47 - mmengine - INFO - Epoch(train) [126][2700/3757] lr: 2.1321e-03 eta: 23:45:31 time: 0.4170 data_time: 0.0199 memory: 17006 grad_norm: 9.5788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7634 loss: 1.7634 2022/07/29 18:51:55 - mmengine - INFO - Epoch(train) [126][2720/3757] lr: 2.1321e-03 eta: 23:45:22 time: 0.4081 data_time: 0.0208 memory: 17006 grad_norm: 9.1829 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4756 loss: 1.4756 2022/07/29 18:52:03 - mmengine - INFO - Epoch(train) [126][2740/3757] lr: 2.1321e-03 eta: 23:45:11 time: 0.4028 data_time: 0.0176 memory: 17006 grad_norm: 9.3849 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5438 loss: 1.5438 2022/07/29 18:52:12 - mmengine - INFO - Epoch(train) [126][2760/3757] lr: 2.1321e-03 eta: 23:45:03 time: 0.4180 data_time: 0.0207 memory: 17006 grad_norm: 9.5393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8227 loss: 1.8227 2022/07/29 18:52:20 - mmengine - INFO - Epoch(train) [126][2780/3757] lr: 2.1321e-03 eta: 23:44:53 time: 0.4061 data_time: 0.0187 memory: 17006 grad_norm: 9.2921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5103 loss: 1.5103 2022/07/29 18:52:28 - mmengine - INFO - Epoch(train) [126][2800/3757] lr: 2.1321e-03 eta: 23:44:44 time: 0.4134 data_time: 0.0212 memory: 17006 grad_norm: 9.1762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6899 loss: 1.6899 2022/07/29 18:52:36 - mmengine - INFO - Epoch(train) [126][2820/3757] lr: 2.1321e-03 eta: 23:44:34 time: 0.4083 data_time: 0.0188 memory: 17006 grad_norm: 9.5297 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3894 loss: 1.3894 2022/07/29 18:52:44 - mmengine - INFO - Epoch(train) [126][2840/3757] lr: 2.1321e-03 eta: 23:44:24 time: 0.4047 data_time: 0.0213 memory: 17006 grad_norm: 9.4423 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3561 loss: 1.3561 2022/07/29 18:52:53 - mmengine - INFO - Epoch(train) [126][2860/3757] lr: 2.1321e-03 eta: 23:44:15 time: 0.4102 data_time: 0.0200 memory: 17006 grad_norm: 9.5162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8238 loss: 1.8238 2022/07/29 18:53:01 - mmengine - INFO - Epoch(train) [126][2880/3757] lr: 2.1321e-03 eta: 23:44:05 time: 0.4057 data_time: 0.0228 memory: 17006 grad_norm: 9.6131 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7940 loss: 1.7940 2022/07/29 18:53:09 - mmengine - INFO - Epoch(train) [126][2900/3757] lr: 2.1321e-03 eta: 23:43:58 time: 0.4368 data_time: 0.0191 memory: 17006 grad_norm: 9.1480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/07/29 18:53:18 - mmengine - INFO - Epoch(train) [126][2920/3757] lr: 2.1321e-03 eta: 23:43:48 time: 0.4044 data_time: 0.0210 memory: 17006 grad_norm: 9.6574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7042 loss: 1.7042 2022/07/29 18:53:28 - mmengine - INFO - Epoch(train) [126][2940/3757] lr: 2.1321e-03 eta: 23:43:49 time: 0.4977 data_time: 0.0612 memory: 17006 grad_norm: 9.6178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5569 loss: 1.5569 2022/07/29 18:53:36 - mmengine - INFO - Epoch(train) [126][2960/3757] lr: 2.1321e-03 eta: 23:43:39 time: 0.4053 data_time: 0.0200 memory: 17006 grad_norm: 9.6231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3674 loss: 1.3674 2022/07/29 18:53:45 - mmengine - INFO - Epoch(train) [126][2980/3757] lr: 2.1321e-03 eta: 23:43:33 time: 0.4426 data_time: 0.0196 memory: 17006 grad_norm: 9.5014 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5063 loss: 1.5063 2022/07/29 18:53:53 - mmengine - INFO - Epoch(train) [126][3000/3757] lr: 2.1321e-03 eta: 23:43:24 time: 0.4159 data_time: 0.0294 memory: 17006 grad_norm: 9.8092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6834 loss: 1.6834 2022/07/29 18:54:02 - mmengine - INFO - Epoch(train) [126][3020/3757] lr: 2.1321e-03 eta: 23:43:18 time: 0.4421 data_time: 0.0194 memory: 17006 grad_norm: 9.4984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4082 loss: 1.4082 2022/07/29 18:54:11 - mmengine - INFO - Epoch(train) [126][3040/3757] lr: 2.1321e-03 eta: 23:43:12 time: 0.4370 data_time: 0.0207 memory: 17006 grad_norm: 9.7103 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7222 loss: 1.7222 2022/07/29 18:54:19 - mmengine - INFO - Epoch(train) [126][3060/3757] lr: 2.1321e-03 eta: 23:43:02 time: 0.4035 data_time: 0.0171 memory: 17006 grad_norm: 9.3786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4634 loss: 1.4634 2022/07/29 18:54:28 - mmengine - INFO - Epoch(train) [126][3080/3757] lr: 2.1321e-03 eta: 23:42:57 time: 0.4500 data_time: 0.0240 memory: 17006 grad_norm: 9.4874 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3629 loss: 1.3629 2022/07/29 18:54:36 - mmengine - INFO - Epoch(train) [126][3100/3757] lr: 2.1321e-03 eta: 23:42:49 time: 0.4236 data_time: 0.0197 memory: 17006 grad_norm: 9.4823 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8168 loss: 1.8168 2022/07/29 18:54:44 - mmengine - INFO - Epoch(train) [126][3120/3757] lr: 2.1321e-03 eta: 23:42:39 time: 0.4042 data_time: 0.0209 memory: 17006 grad_norm: 9.4685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4149 loss: 1.4149 2022/07/29 18:54:52 - mmengine - INFO - Epoch(train) [126][3140/3757] lr: 2.1321e-03 eta: 23:42:29 time: 0.4072 data_time: 0.0174 memory: 17006 grad_norm: 9.5561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6193 loss: 1.6193 2022/07/29 18:55:01 - mmengine - INFO - Epoch(train) [126][3160/3757] lr: 2.1321e-03 eta: 23:42:21 time: 0.4208 data_time: 0.0253 memory: 17006 grad_norm: 9.4662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5355 loss: 1.5355 2022/07/29 18:55:09 - mmengine - INFO - Epoch(train) [126][3180/3757] lr: 2.1321e-03 eta: 23:42:11 time: 0.4101 data_time: 0.0168 memory: 17006 grad_norm: 9.6941 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5017 loss: 1.5017 2022/07/29 18:55:18 - mmengine - INFO - Epoch(train) [126][3200/3757] lr: 2.1321e-03 eta: 23:42:03 time: 0.4173 data_time: 0.0275 memory: 17006 grad_norm: 9.3474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9807 loss: 1.9807 2022/07/29 18:55:27 - mmengine - INFO - Epoch(train) [126][3220/3757] lr: 2.1321e-03 eta: 23:41:58 time: 0.4517 data_time: 0.0193 memory: 17006 grad_norm: 9.1414 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4040 loss: 1.4040 2022/07/29 18:55:35 - mmengine - INFO - Epoch(train) [126][3240/3757] lr: 2.1321e-03 eta: 23:41:48 time: 0.4041 data_time: 0.0213 memory: 17006 grad_norm: 10.0461 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4892 loss: 1.4892 2022/07/29 18:55:43 - mmengine - INFO - Epoch(train) [126][3260/3757] lr: 2.1321e-03 eta: 23:41:40 time: 0.4244 data_time: 0.0190 memory: 17006 grad_norm: 9.5170 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6100 loss: 1.6100 2022/07/29 18:55:52 - mmengine - INFO - Epoch(train) [126][3280/3757] lr: 2.1321e-03 eta: 23:41:35 time: 0.4494 data_time: 0.0241 memory: 17006 grad_norm: 9.6533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4531 loss: 1.4531 2022/07/29 18:56:01 - mmengine - INFO - Epoch(train) [126][3300/3757] lr: 2.1321e-03 eta: 23:41:27 time: 0.4229 data_time: 0.0211 memory: 17006 grad_norm: 9.8875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8444 loss: 1.8444 2022/07/29 18:56:09 - mmengine - INFO - Epoch(train) [126][3320/3757] lr: 2.1321e-03 eta: 23:41:17 time: 0.4063 data_time: 0.0212 memory: 17006 grad_norm: 9.4658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0514 loss: 2.0514 2022/07/29 18:56:18 - mmengine - INFO - Epoch(train) [126][3340/3757] lr: 2.1321e-03 eta: 23:41:14 time: 0.4681 data_time: 0.0201 memory: 17006 grad_norm: 9.5716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6627 loss: 1.6627 2022/07/29 18:56:26 - mmengine - INFO - Epoch(train) [126][3360/3757] lr: 2.1321e-03 eta: 23:41:04 time: 0.4069 data_time: 0.0218 memory: 17006 grad_norm: 9.4794 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6061 loss: 1.6061 2022/07/29 18:56:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:56:34 - mmengine - INFO - Epoch(train) [126][3380/3757] lr: 2.1321e-03 eta: 23:40:54 time: 0.4031 data_time: 0.0180 memory: 17006 grad_norm: 9.5910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5137 loss: 1.5137 2022/07/29 18:56:43 - mmengine - INFO - Epoch(train) [126][3400/3757] lr: 2.1321e-03 eta: 23:40:47 time: 0.4351 data_time: 0.0203 memory: 17006 grad_norm: 9.1930 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6716 loss: 1.6716 2022/07/29 18:56:51 - mmengine - INFO - Epoch(train) [126][3420/3757] lr: 2.1321e-03 eta: 23:40:37 time: 0.4059 data_time: 0.0187 memory: 17006 grad_norm: 9.7794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6945 loss: 1.6945 2022/07/29 18:57:00 - mmengine - INFO - Epoch(train) [126][3440/3757] lr: 2.1321e-03 eta: 23:40:31 time: 0.4370 data_time: 0.0240 memory: 17006 grad_norm: 9.6056 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6007 loss: 1.6007 2022/07/29 18:57:08 - mmengine - INFO - Epoch(train) [126][3460/3757] lr: 2.1321e-03 eta: 23:40:21 time: 0.4054 data_time: 0.0173 memory: 17006 grad_norm: 9.6268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6023 loss: 1.6023 2022/07/29 18:57:17 - mmengine - INFO - Epoch(train) [126][3480/3757] lr: 2.1321e-03 eta: 23:40:12 time: 0.4122 data_time: 0.0238 memory: 17006 grad_norm: 9.2922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6633 loss: 1.6633 2022/07/29 18:57:25 - mmengine - INFO - Epoch(train) [126][3500/3757] lr: 2.1321e-03 eta: 23:40:02 time: 0.4028 data_time: 0.0180 memory: 17006 grad_norm: 9.4958 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7936 loss: 1.7936 2022/07/29 18:57:33 - mmengine - INFO - Epoch(train) [126][3520/3757] lr: 2.1321e-03 eta: 23:39:53 time: 0.4138 data_time: 0.0241 memory: 17006 grad_norm: 9.3044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2691 loss: 1.2691 2022/07/29 18:57:41 - mmengine - INFO - Epoch(train) [126][3540/3757] lr: 2.1321e-03 eta: 23:39:44 time: 0.4157 data_time: 0.0177 memory: 17006 grad_norm: 9.4187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2946 loss: 1.2946 2022/07/29 18:57:50 - mmengine - INFO - Epoch(train) [126][3560/3757] lr: 2.1321e-03 eta: 23:39:35 time: 0.4187 data_time: 0.0237 memory: 17006 grad_norm: 9.8328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5076 loss: 1.5076 2022/07/29 18:57:58 - mmengine - INFO - Epoch(train) [126][3580/3757] lr: 2.1321e-03 eta: 23:39:26 time: 0.4108 data_time: 0.0180 memory: 17006 grad_norm: 9.6041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7501 loss: 1.7501 2022/07/29 18:58:06 - mmengine - INFO - Epoch(train) [126][3600/3757] lr: 2.1321e-03 eta: 23:39:18 time: 0.4224 data_time: 0.0226 memory: 17006 grad_norm: 9.1128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4905 loss: 1.4905 2022/07/29 18:58:14 - mmengine - INFO - Epoch(train) [126][3620/3757] lr: 2.1321e-03 eta: 23:39:08 time: 0.4042 data_time: 0.0203 memory: 17006 grad_norm: 9.4139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6527 loss: 1.6527 2022/07/29 18:58:23 - mmengine - INFO - Epoch(train) [126][3640/3757] lr: 2.1321e-03 eta: 23:39:02 time: 0.4431 data_time: 0.0204 memory: 17006 grad_norm: 9.5545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6779 loss: 1.6779 2022/07/29 18:58:32 - mmengine - INFO - Epoch(train) [126][3660/3757] lr: 2.1321e-03 eta: 23:38:54 time: 0.4255 data_time: 0.0195 memory: 17006 grad_norm: 9.4850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4039 loss: 1.4039 2022/07/29 18:58:40 - mmengine - INFO - Epoch(train) [126][3680/3757] lr: 2.1321e-03 eta: 23:38:45 time: 0.4118 data_time: 0.0224 memory: 17006 grad_norm: 9.1242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7931 loss: 1.7931 2022/07/29 18:58:49 - mmengine - INFO - Epoch(train) [126][3700/3757] lr: 2.1321e-03 eta: 23:38:38 time: 0.4289 data_time: 0.0205 memory: 17006 grad_norm: 9.3531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6192 loss: 1.6192 2022/07/29 18:58:57 - mmengine - INFO - Epoch(train) [126][3720/3757] lr: 2.1321e-03 eta: 23:38:29 time: 0.4149 data_time: 0.0218 memory: 17006 grad_norm: 9.7051 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5416 loss: 1.5416 2022/07/29 18:59:05 - mmengine - INFO - Epoch(train) [126][3740/3757] lr: 2.1321e-03 eta: 23:38:19 time: 0.4093 data_time: 0.0197 memory: 17006 grad_norm: 9.6375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8236 loss: 1.8236 2022/07/29 18:59:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 18:59:12 - mmengine - INFO - Epoch(train) [126][3757/3757] lr: 2.1321e-03 eta: 23:38:19 time: 0.3928 data_time: 0.0187 memory: 17006 grad_norm: 9.4226 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6743 loss: 1.6743 2022/07/29 18:59:12 - mmengine - INFO - Saving checkpoint at 126 epochs 2022/07/29 18:59:25 - mmengine - INFO - Epoch(train) [127][20/3757] lr: 2.0611e-03 eta: 23:37:29 time: 0.4555 data_time: 0.0719 memory: 17006 grad_norm: 9.0789 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4742 loss: 1.4742 2022/07/29 18:59:34 - mmengine - INFO - Epoch(train) [127][40/3757] lr: 2.0611e-03 eta: 23:37:21 time: 0.4213 data_time: 0.0211 memory: 17006 grad_norm: 9.4401 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4640 loss: 1.4640 2022/07/29 18:59:42 - mmengine - INFO - Epoch(train) [127][60/3757] lr: 2.0611e-03 eta: 23:37:12 time: 0.4098 data_time: 0.0213 memory: 17006 grad_norm: 9.2078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6294 loss: 1.6294 2022/07/29 18:59:50 - mmengine - INFO - Epoch(train) [127][80/3757] lr: 2.0611e-03 eta: 23:37:02 time: 0.4091 data_time: 0.0210 memory: 17006 grad_norm: 8.9727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6137 loss: 1.6137 2022/07/29 18:59:58 - mmengine - INFO - Epoch(train) [127][100/3757] lr: 2.0611e-03 eta: 23:36:53 time: 0.4090 data_time: 0.0245 memory: 17006 grad_norm: 9.0430 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4022 loss: 1.4022 2022/07/29 19:00:07 - mmengine - INFO - Epoch(train) [127][120/3757] lr: 2.0611e-03 eta: 23:36:44 time: 0.4150 data_time: 0.0207 memory: 17006 grad_norm: 9.1469 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6309 loss: 1.6309 2022/07/29 19:00:15 - mmengine - INFO - Epoch(train) [127][140/3757] lr: 2.0611e-03 eta: 23:36:34 time: 0.4037 data_time: 0.0200 memory: 17006 grad_norm: 9.2329 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5764 loss: 1.5764 2022/07/29 19:00:23 - mmengine - INFO - Epoch(train) [127][160/3757] lr: 2.0611e-03 eta: 23:36:24 time: 0.4080 data_time: 0.0215 memory: 17006 grad_norm: 9.1919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3810 loss: 1.3810 2022/07/29 19:00:31 - mmengine - INFO - Epoch(train) [127][180/3757] lr: 2.0611e-03 eta: 23:36:15 time: 0.4150 data_time: 0.0216 memory: 17006 grad_norm: 9.6178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3327 loss: 1.3327 2022/07/29 19:00:39 - mmengine - INFO - Epoch(train) [127][200/3757] lr: 2.0611e-03 eta: 23:36:06 time: 0.4116 data_time: 0.0220 memory: 17006 grad_norm: 10.0092 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7053 loss: 1.7053 2022/07/29 19:00:48 - mmengine - INFO - Epoch(train) [127][220/3757] lr: 2.0611e-03 eta: 23:35:57 time: 0.4148 data_time: 0.0211 memory: 17006 grad_norm: 9.9200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6169 loss: 1.6169 2022/07/29 19:00:56 - mmengine - INFO - Epoch(train) [127][240/3757] lr: 2.0611e-03 eta: 23:35:47 time: 0.4043 data_time: 0.0197 memory: 17006 grad_norm: 9.2793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3301 loss: 1.3301 2022/07/29 19:01:04 - mmengine - INFO - Epoch(train) [127][260/3757] lr: 2.0611e-03 eta: 23:35:37 time: 0.4025 data_time: 0.0187 memory: 17006 grad_norm: 9.2587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4629 loss: 1.4629 2022/07/29 19:01:13 - mmengine - INFO - Epoch(train) [127][280/3757] lr: 2.0611e-03 eta: 23:35:33 time: 0.4600 data_time: 0.0228 memory: 17006 grad_norm: 9.3259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/07/29 19:01:21 - mmengine - INFO - Epoch(train) [127][300/3757] lr: 2.0611e-03 eta: 23:35:24 time: 0.4080 data_time: 0.0222 memory: 17006 grad_norm: 9.6463 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5374 loss: 1.5374 2022/07/29 19:01:30 - mmengine - INFO - Epoch(train) [127][320/3757] lr: 2.0611e-03 eta: 23:35:15 time: 0.4133 data_time: 0.0208 memory: 17006 grad_norm: 9.6382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5785 loss: 1.5785 2022/07/29 19:01:38 - mmengine - INFO - Epoch(train) [127][340/3757] lr: 2.0611e-03 eta: 23:35:05 time: 0.4060 data_time: 0.0204 memory: 17006 grad_norm: 9.5685 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6780 loss: 1.6780 2022/07/29 19:01:47 - mmengine - INFO - Epoch(train) [127][360/3757] lr: 2.0611e-03 eta: 23:35:03 time: 0.4786 data_time: 0.0199 memory: 17006 grad_norm: 9.5067 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5901 loss: 1.5901 2022/07/29 19:01:55 - mmengine - INFO - Epoch(train) [127][380/3757] lr: 2.0611e-03 eta: 23:34:53 time: 0.4035 data_time: 0.0197 memory: 17006 grad_norm: 9.8558 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6914 loss: 1.6914 2022/07/29 19:02:03 - mmengine - INFO - Epoch(train) [127][400/3757] lr: 2.0611e-03 eta: 23:34:43 time: 0.4038 data_time: 0.0203 memory: 17006 grad_norm: 9.5858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/07/29 19:02:12 - mmengine - INFO - Epoch(train) [127][420/3757] lr: 2.0611e-03 eta: 23:34:37 time: 0.4443 data_time: 0.0199 memory: 17006 grad_norm: 9.4023 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4664 loss: 1.4664 2022/07/29 19:02:20 - mmengine - INFO - Epoch(train) [127][440/3757] lr: 2.0611e-03 eta: 23:34:27 time: 0.4037 data_time: 0.0204 memory: 17006 grad_norm: 9.7198 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4948 loss: 1.4948 2022/07/29 19:02:29 - mmengine - INFO - Epoch(train) [127][460/3757] lr: 2.0611e-03 eta: 23:34:18 time: 0.4130 data_time: 0.0216 memory: 17006 grad_norm: 9.3578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6361 loss: 1.6361 2022/07/29 19:02:37 - mmengine - INFO - Epoch(train) [127][480/3757] lr: 2.0611e-03 eta: 23:34:08 time: 0.4088 data_time: 0.0218 memory: 17006 grad_norm: 9.2984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3968 loss: 1.3968 2022/07/29 19:02:45 - mmengine - INFO - Epoch(train) [127][500/3757] lr: 2.0611e-03 eta: 23:33:58 time: 0.4027 data_time: 0.0191 memory: 17006 grad_norm: 9.6052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4284 loss: 1.4284 2022/07/29 19:02:53 - mmengine - INFO - Epoch(train) [127][520/3757] lr: 2.0611e-03 eta: 23:33:50 time: 0.4160 data_time: 0.0210 memory: 17006 grad_norm: 9.8584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4390 loss: 1.4390 2022/07/29 19:03:02 - mmengine - INFO - Epoch(train) [127][540/3757] lr: 2.0611e-03 eta: 23:33:40 time: 0.4076 data_time: 0.0203 memory: 17006 grad_norm: 9.2940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7589 loss: 1.7589 2022/07/29 19:03:10 - mmengine - INFO - Epoch(train) [127][560/3757] lr: 2.0611e-03 eta: 23:33:32 time: 0.4209 data_time: 0.0244 memory: 17006 grad_norm: 9.3017 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8429 loss: 1.8429 2022/07/29 19:03:19 - mmengine - INFO - Epoch(train) [127][580/3757] lr: 2.0611e-03 eta: 23:33:26 time: 0.4419 data_time: 0.0198 memory: 17006 grad_norm: 9.1014 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5132 loss: 1.5132 2022/07/29 19:03:27 - mmengine - INFO - Epoch(train) [127][600/3757] lr: 2.0611e-03 eta: 23:33:17 time: 0.4133 data_time: 0.0212 memory: 17006 grad_norm: 9.6661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5325 loss: 1.5325 2022/07/29 19:03:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:03:35 - mmengine - INFO - Epoch(train) [127][620/3757] lr: 2.0611e-03 eta: 23:33:07 time: 0.4024 data_time: 0.0193 memory: 17006 grad_norm: 9.1113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4617 loss: 1.4617 2022/07/29 19:03:43 - mmengine - INFO - Epoch(train) [127][640/3757] lr: 2.0611e-03 eta: 23:32:57 time: 0.4073 data_time: 0.0189 memory: 17006 grad_norm: 9.5476 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3769 loss: 1.3769 2022/07/29 19:03:52 - mmengine - INFO - Epoch(train) [127][660/3757] lr: 2.0611e-03 eta: 23:32:48 time: 0.4097 data_time: 0.0215 memory: 17006 grad_norm: 9.6986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7142 loss: 1.7142 2022/07/29 19:04:01 - mmengine - INFO - Epoch(train) [127][680/3757] lr: 2.0611e-03 eta: 23:32:43 time: 0.4536 data_time: 0.0197 memory: 17006 grad_norm: 9.4024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5944 loss: 1.5944 2022/07/29 19:04:09 - mmengine - INFO - Epoch(train) [127][700/3757] lr: 2.0611e-03 eta: 23:32:35 time: 0.4203 data_time: 0.0210 memory: 17006 grad_norm: 9.5476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9383 loss: 1.9383 2022/07/29 19:04:17 - mmengine - INFO - Epoch(train) [127][720/3757] lr: 2.0611e-03 eta: 23:32:25 time: 0.4044 data_time: 0.0203 memory: 17006 grad_norm: 9.2915 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4935 loss: 1.4935 2022/07/29 19:04:25 - mmengine - INFO - Epoch(train) [127][740/3757] lr: 2.0611e-03 eta: 23:32:14 time: 0.4027 data_time: 0.0193 memory: 17006 grad_norm: 9.3655 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5491 loss: 1.5491 2022/07/29 19:04:34 - mmengine - INFO - Epoch(train) [127][760/3757] lr: 2.0611e-03 eta: 23:32:05 time: 0.4136 data_time: 0.0224 memory: 17006 grad_norm: 9.2833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4674 loss: 1.4674 2022/07/29 19:04:42 - mmengine - INFO - Epoch(train) [127][780/3757] lr: 2.0611e-03 eta: 23:31:56 time: 0.4122 data_time: 0.0213 memory: 17006 grad_norm: 9.3652 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2643 loss: 1.2643 2022/07/29 19:04:50 - mmengine - INFO - Epoch(train) [127][800/3757] lr: 2.0611e-03 eta: 23:31:49 time: 0.4265 data_time: 0.0235 memory: 17006 grad_norm: 9.1871 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5733 loss: 1.5733 2022/07/29 19:04:59 - mmengine - INFO - Epoch(train) [127][820/3757] lr: 2.0611e-03 eta: 23:31:39 time: 0.4041 data_time: 0.0206 memory: 17006 grad_norm: 9.9127 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2447 loss: 1.2447 2022/07/29 19:05:07 - mmengine - INFO - Epoch(train) [127][840/3757] lr: 2.0611e-03 eta: 23:31:32 time: 0.4333 data_time: 0.0241 memory: 17006 grad_norm: 9.6073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8671 loss: 1.8671 2022/07/29 19:05:15 - mmengine - INFO - Epoch(train) [127][860/3757] lr: 2.0611e-03 eta: 23:31:22 time: 0.4028 data_time: 0.0202 memory: 17006 grad_norm: 9.2048 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7527 loss: 1.7527 2022/07/29 19:05:24 - mmengine - INFO - Epoch(train) [127][880/3757] lr: 2.0611e-03 eta: 23:31:12 time: 0.4084 data_time: 0.0199 memory: 17006 grad_norm: 9.4671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5321 loss: 1.5321 2022/07/29 19:05:32 - mmengine - INFO - Epoch(train) [127][900/3757] lr: 2.0611e-03 eta: 23:31:05 time: 0.4263 data_time: 0.0230 memory: 17006 grad_norm: 9.7077 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6095 loss: 1.6095 2022/07/29 19:05:40 - mmengine - INFO - Epoch(train) [127][920/3757] lr: 2.0611e-03 eta: 23:30:55 time: 0.4062 data_time: 0.0209 memory: 17006 grad_norm: 9.4991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6659 loss: 1.6659 2022/07/29 19:05:49 - mmengine - INFO - Epoch(train) [127][940/3757] lr: 2.0611e-03 eta: 23:30:46 time: 0.4164 data_time: 0.0221 memory: 17006 grad_norm: 9.1859 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7006 loss: 1.7006 2022/07/29 19:05:57 - mmengine - INFO - Epoch(train) [127][960/3757] lr: 2.0611e-03 eta: 23:30:40 time: 0.4395 data_time: 0.0198 memory: 17006 grad_norm: 9.4073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3782 loss: 1.3782 2022/07/29 19:06:05 - mmengine - INFO - Epoch(train) [127][980/3757] lr: 2.0611e-03 eta: 23:30:30 time: 0.4025 data_time: 0.0196 memory: 17006 grad_norm: 9.7331 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4871 loss: 1.4871 2022/07/29 19:06:14 - mmengine - INFO - Epoch(train) [127][1000/3757] lr: 2.0611e-03 eta: 23:30:23 time: 0.4326 data_time: 0.0236 memory: 17006 grad_norm: 9.3487 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6632 loss: 1.6632 2022/07/29 19:06:22 - mmengine - INFO - Epoch(train) [127][1020/3757] lr: 2.0611e-03 eta: 23:30:13 time: 0.4055 data_time: 0.0210 memory: 17006 grad_norm: 9.6576 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5871 loss: 1.5871 2022/07/29 19:06:31 - mmengine - INFO - Epoch(train) [127][1040/3757] lr: 2.0611e-03 eta: 23:30:08 time: 0.4516 data_time: 0.0231 memory: 17006 grad_norm: 9.4946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7247 loss: 1.7247 2022/07/29 19:06:39 - mmengine - INFO - Epoch(train) [127][1060/3757] lr: 2.0611e-03 eta: 23:29:58 time: 0.4048 data_time: 0.0201 memory: 17006 grad_norm: 9.1218 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6602 loss: 1.6602 2022/07/29 19:06:48 - mmengine - INFO - Epoch(train) [127][1080/3757] lr: 2.0611e-03 eta: 23:29:50 time: 0.4230 data_time: 0.0233 memory: 17006 grad_norm: 9.2869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6795 loss: 1.6795 2022/07/29 19:06:56 - mmengine - INFO - Epoch(train) [127][1100/3757] lr: 2.0611e-03 eta: 23:29:40 time: 0.4042 data_time: 0.0204 memory: 17006 grad_norm: 9.4893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6027 loss: 1.6027 2022/07/29 19:07:04 - mmengine - INFO - Epoch(train) [127][1120/3757] lr: 2.0611e-03 eta: 23:29:30 time: 0.4025 data_time: 0.0202 memory: 17006 grad_norm: 9.0089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3468 loss: 1.3468 2022/07/29 19:07:12 - mmengine - INFO - Epoch(train) [127][1140/3757] lr: 2.0611e-03 eta: 23:29:21 time: 0.4116 data_time: 0.0225 memory: 17006 grad_norm: 9.0964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4156 loss: 1.4156 2022/07/29 19:07:20 - mmengine - INFO - Epoch(train) [127][1160/3757] lr: 2.0611e-03 eta: 23:29:11 time: 0.4038 data_time: 0.0202 memory: 17006 grad_norm: 9.2663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4770 loss: 1.4770 2022/07/29 19:07:29 - mmengine - INFO - Epoch(train) [127][1180/3757] lr: 2.0611e-03 eta: 23:29:05 time: 0.4433 data_time: 0.0210 memory: 17006 grad_norm: 9.9938 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6618 loss: 1.6618 2022/07/29 19:07:37 - mmengine - INFO - Epoch(train) [127][1200/3757] lr: 2.0611e-03 eta: 23:28:55 time: 0.4051 data_time: 0.0224 memory: 17006 grad_norm: 9.3611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4923 loss: 1.4923 2022/07/29 19:07:46 - mmengine - INFO - Epoch(train) [127][1220/3757] lr: 2.0611e-03 eta: 23:28:45 time: 0.4039 data_time: 0.0205 memory: 17006 grad_norm: 9.4714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5157 loss: 1.5157 2022/07/29 19:07:55 - mmengine - INFO - Epoch(train) [127][1240/3757] lr: 2.0611e-03 eta: 23:28:44 time: 0.4869 data_time: 0.0204 memory: 17006 grad_norm: 9.2958 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5621 loss: 1.5621 2022/07/29 19:08:03 - mmengine - INFO - Epoch(train) [127][1260/3757] lr: 2.0611e-03 eta: 23:28:34 time: 0.4064 data_time: 0.0212 memory: 17006 grad_norm: 9.5865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7386 loss: 1.7386 2022/07/29 19:08:13 - mmengine - INFO - Epoch(train) [127][1280/3757] lr: 2.0611e-03 eta: 23:28:31 time: 0.4700 data_time: 0.0230 memory: 17006 grad_norm: 9.6126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3803 loss: 1.3803 2022/07/29 19:08:21 - mmengine - INFO - Epoch(train) [127][1300/3757] lr: 2.0611e-03 eta: 23:28:21 time: 0.4051 data_time: 0.0211 memory: 17006 grad_norm: 9.3904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5595 loss: 1.5595 2022/07/29 19:08:31 - mmengine - INFO - Epoch(train) [127][1320/3757] lr: 2.0611e-03 eta: 23:28:20 time: 0.4881 data_time: 0.0231 memory: 17006 grad_norm: 9.1854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5556 loss: 1.5556 2022/07/29 19:08:39 - mmengine - INFO - Epoch(train) [127][1340/3757] lr: 2.0611e-03 eta: 23:28:10 time: 0.4044 data_time: 0.0213 memory: 17006 grad_norm: 9.8226 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.8816 loss: 1.8816 2022/07/29 19:08:47 - mmengine - INFO - Epoch(train) [127][1360/3757] lr: 2.0611e-03 eta: 23:28:02 time: 0.4182 data_time: 0.0221 memory: 17006 grad_norm: 9.2537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7403 loss: 1.7403 2022/07/29 19:08:55 - mmengine - INFO - Epoch(train) [127][1380/3757] lr: 2.0611e-03 eta: 23:27:52 time: 0.4039 data_time: 0.0205 memory: 17006 grad_norm: 9.1725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9585 loss: 1.9585 2022/07/29 19:09:04 - mmengine - INFO - Epoch(train) [127][1400/3757] lr: 2.0611e-03 eta: 23:27:42 time: 0.4065 data_time: 0.0202 memory: 17006 grad_norm: 9.1415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5081 loss: 1.5081 2022/07/29 19:09:13 - mmengine - INFO - Epoch(train) [127][1420/3757] lr: 2.0611e-03 eta: 23:27:38 time: 0.4638 data_time: 0.0220 memory: 17006 grad_norm: 9.0547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6275 loss: 1.6275 2022/07/29 19:09:21 - mmengine - INFO - Epoch(train) [127][1440/3757] lr: 2.0611e-03 eta: 23:27:28 time: 0.4051 data_time: 0.0212 memory: 17006 grad_norm: 9.5847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8222 loss: 1.8222 2022/07/29 19:09:29 - mmengine - INFO - Epoch(train) [127][1460/3757] lr: 2.0611e-03 eta: 23:27:20 time: 0.4196 data_time: 0.0229 memory: 17006 grad_norm: 9.8261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5238 loss: 1.5238 2022/07/29 19:09:38 - mmengine - INFO - Epoch(train) [127][1480/3757] lr: 2.0611e-03 eta: 23:27:12 time: 0.4188 data_time: 0.0212 memory: 17006 grad_norm: 9.4728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9439 loss: 1.9439 2022/07/29 19:09:46 - mmengine - INFO - Epoch(train) [127][1500/3757] lr: 2.0611e-03 eta: 23:27:01 time: 0.4030 data_time: 0.0203 memory: 17006 grad_norm: 9.4737 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3833 loss: 1.3833 2022/07/29 19:09:54 - mmengine - INFO - Epoch(train) [127][1520/3757] lr: 2.0611e-03 eta: 23:26:53 time: 0.4226 data_time: 0.0215 memory: 17006 grad_norm: 9.5941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5827 loss: 1.5827 2022/07/29 19:10:02 - mmengine - INFO - Epoch(train) [127][1540/3757] lr: 2.0611e-03 eta: 23:26:44 time: 0.4046 data_time: 0.0205 memory: 17006 grad_norm: 9.1603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8242 loss: 1.8242 2022/07/29 19:10:11 - mmengine - INFO - Epoch(train) [127][1560/3757] lr: 2.0611e-03 eta: 23:26:37 time: 0.4325 data_time: 0.0252 memory: 17006 grad_norm: 8.7747 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2694 loss: 1.2694 2022/07/29 19:10:19 - mmengine - INFO - Epoch(train) [127][1580/3757] lr: 2.0611e-03 eta: 23:26:27 time: 0.4077 data_time: 0.0206 memory: 17006 grad_norm: 9.7246 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5849 loss: 1.5849 2022/07/29 19:10:28 - mmengine - INFO - Epoch(train) [127][1600/3757] lr: 2.0611e-03 eta: 23:26:19 time: 0.4214 data_time: 0.0219 memory: 17006 grad_norm: 9.7988 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6564 loss: 1.6564 2022/07/29 19:10:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:10:36 - mmengine - INFO - Epoch(train) [127][1620/3757] lr: 2.0611e-03 eta: 23:26:09 time: 0.4055 data_time: 0.0221 memory: 17006 grad_norm: 9.3089 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5176 loss: 1.5176 2022/07/29 19:10:44 - mmengine - INFO - Epoch(train) [127][1640/3757] lr: 2.0611e-03 eta: 23:25:59 time: 0.4077 data_time: 0.0218 memory: 17006 grad_norm: 9.7550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6686 loss: 1.6686 2022/07/29 19:10:52 - mmengine - INFO - Epoch(train) [127][1660/3757] lr: 2.0611e-03 eta: 23:25:50 time: 0.4104 data_time: 0.0207 memory: 17006 grad_norm: 9.4423 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4388 loss: 1.4388 2022/07/29 19:11:01 - mmengine - INFO - Epoch(train) [127][1680/3757] lr: 2.0611e-03 eta: 23:25:43 time: 0.4281 data_time: 0.0218 memory: 17006 grad_norm: 9.3693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5259 loss: 1.5259 2022/07/29 19:11:09 - mmengine - INFO - Epoch(train) [127][1700/3757] lr: 2.0611e-03 eta: 23:25:33 time: 0.4111 data_time: 0.0196 memory: 17006 grad_norm: 9.2417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6123 loss: 1.6123 2022/07/29 19:11:17 - mmengine - INFO - Epoch(train) [127][1720/3757] lr: 2.0611e-03 eta: 23:25:25 time: 0.4168 data_time: 0.0217 memory: 17006 grad_norm: 9.3584 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7515 loss: 1.7515 2022/07/29 19:11:26 - mmengine - INFO - Epoch(train) [127][1740/3757] lr: 2.0611e-03 eta: 23:25:15 time: 0.4025 data_time: 0.0182 memory: 17006 grad_norm: 9.2393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5242 loss: 1.5242 2022/07/29 19:11:34 - mmengine - INFO - Epoch(train) [127][1760/3757] lr: 2.0611e-03 eta: 23:25:05 time: 0.4067 data_time: 0.0226 memory: 17006 grad_norm: 9.4271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4769 loss: 1.4769 2022/07/29 19:11:42 - mmengine - INFO - Epoch(train) [127][1780/3757] lr: 2.0611e-03 eta: 23:24:58 time: 0.4328 data_time: 0.0230 memory: 17006 grad_norm: 9.1734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2735 loss: 1.2735 2022/07/29 19:11:51 - mmengine - INFO - Epoch(train) [127][1800/3757] lr: 2.0611e-03 eta: 23:24:48 time: 0.4048 data_time: 0.0203 memory: 17006 grad_norm: 9.5804 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3791 loss: 1.3791 2022/07/29 19:11:59 - mmengine - INFO - Epoch(train) [127][1820/3757] lr: 2.0611e-03 eta: 23:24:42 time: 0.4396 data_time: 0.0227 memory: 17006 grad_norm: 9.9972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6651 loss: 1.6651 2022/07/29 19:12:07 - mmengine - INFO - Epoch(train) [127][1840/3757] lr: 2.0611e-03 eta: 23:24:32 time: 0.4055 data_time: 0.0208 memory: 17006 grad_norm: 9.6676 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3837 loss: 1.3837 2022/07/29 19:12:16 - mmengine - INFO - Epoch(train) [127][1860/3757] lr: 2.0611e-03 eta: 23:24:22 time: 0.4042 data_time: 0.0203 memory: 17006 grad_norm: 9.3636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7081 loss: 1.7081 2022/07/29 19:12:25 - mmengine - INFO - Epoch(train) [127][1880/3757] lr: 2.0611e-03 eta: 23:24:17 time: 0.4539 data_time: 0.0227 memory: 17006 grad_norm: 9.3125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6308 loss: 1.6308 2022/07/29 19:12:33 - mmengine - INFO - Epoch(train) [127][1900/3757] lr: 2.0611e-03 eta: 23:24:08 time: 0.4050 data_time: 0.0199 memory: 17006 grad_norm: 9.7285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4235 loss: 1.4235 2022/07/29 19:12:42 - mmengine - INFO - Epoch(train) [127][1920/3757] lr: 2.0611e-03 eta: 23:24:05 time: 0.4751 data_time: 0.0228 memory: 17006 grad_norm: 9.4115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5133 loss: 1.5133 2022/07/29 19:12:51 - mmengine - INFO - Epoch(train) [127][1940/3757] lr: 2.0611e-03 eta: 23:23:57 time: 0.4250 data_time: 0.0193 memory: 17006 grad_norm: 9.7072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5346 loss: 1.5346 2022/07/29 19:12:59 - mmengine - INFO - Epoch(train) [127][1960/3757] lr: 2.0611e-03 eta: 23:23:48 time: 0.4128 data_time: 0.0217 memory: 17006 grad_norm: 9.4810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6611 loss: 1.6611 2022/07/29 19:13:07 - mmengine - INFO - Epoch(train) [127][1980/3757] lr: 2.0611e-03 eta: 23:23:38 time: 0.4044 data_time: 0.0203 memory: 17006 grad_norm: 9.5454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4457 loss: 1.4457 2022/07/29 19:13:15 - mmengine - INFO - Epoch(train) [127][2000/3757] lr: 2.0611e-03 eta: 23:23:28 time: 0.4030 data_time: 0.0198 memory: 17006 grad_norm: 9.5859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6217 loss: 1.6217 2022/07/29 19:13:24 - mmengine - INFO - Epoch(train) [127][2020/3757] lr: 2.0611e-03 eta: 23:23:21 time: 0.4320 data_time: 0.0225 memory: 17006 grad_norm: 9.3330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7746 loss: 1.7746 2022/07/29 19:13:32 - mmengine - INFO - Epoch(train) [127][2040/3757] lr: 2.0611e-03 eta: 23:23:12 time: 0.4094 data_time: 0.0219 memory: 17006 grad_norm: 9.5509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7362 loss: 1.7362 2022/07/29 19:13:41 - mmengine - INFO - Epoch(train) [127][2060/3757] lr: 2.0611e-03 eta: 23:23:03 time: 0.4184 data_time: 0.0207 memory: 17006 grad_norm: 9.7553 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4075 loss: 1.4075 2022/07/29 19:13:50 - mmengine - INFO - Epoch(train) [127][2080/3757] lr: 2.0611e-03 eta: 23:22:58 time: 0.4487 data_time: 0.0212 memory: 17006 grad_norm: 9.4907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7219 loss: 1.7219 2022/07/29 19:13:58 - mmengine - INFO - Epoch(train) [127][2100/3757] lr: 2.0611e-03 eta: 23:22:51 time: 0.4304 data_time: 0.0233 memory: 17006 grad_norm: 9.2719 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2619 loss: 1.2619 2022/07/29 19:14:06 - mmengine - INFO - Epoch(train) [127][2120/3757] lr: 2.0611e-03 eta: 23:22:41 time: 0.4032 data_time: 0.0208 memory: 17006 grad_norm: 9.7136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2654 loss: 1.2654 2022/07/29 19:14:14 - mmengine - INFO - Epoch(train) [127][2140/3757] lr: 2.0611e-03 eta: 23:22:31 time: 0.4041 data_time: 0.0206 memory: 17006 grad_norm: 9.5632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5170 loss: 1.5170 2022/07/29 19:14:23 - mmengine - INFO - Epoch(train) [127][2160/3757] lr: 2.0611e-03 eta: 23:22:23 time: 0.4297 data_time: 0.0222 memory: 17006 grad_norm: 9.5083 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4700 loss: 1.4700 2022/07/29 19:14:31 - mmengine - INFO - Epoch(train) [127][2180/3757] lr: 2.0611e-03 eta: 23:22:14 time: 0.4069 data_time: 0.0217 memory: 17006 grad_norm: 9.7872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5311 loss: 1.5311 2022/07/29 19:14:40 - mmengine - INFO - Epoch(train) [127][2200/3757] lr: 2.0611e-03 eta: 23:22:06 time: 0.4217 data_time: 0.0205 memory: 17006 grad_norm: 9.6399 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3530 loss: 1.3530 2022/07/29 19:14:48 - mmengine - INFO - Epoch(train) [127][2220/3757] lr: 2.0611e-03 eta: 23:21:56 time: 0.4101 data_time: 0.0216 memory: 17006 grad_norm: 9.3836 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6432 loss: 1.6432 2022/07/29 19:14:56 - mmengine - INFO - Epoch(train) [127][2240/3757] lr: 2.0611e-03 eta: 23:21:46 time: 0.4032 data_time: 0.0203 memory: 17006 grad_norm: 9.5042 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6508 loss: 1.6508 2022/07/29 19:15:04 - mmengine - INFO - Epoch(train) [127][2260/3757] lr: 2.0611e-03 eta: 23:21:37 time: 0.4130 data_time: 0.0212 memory: 17006 grad_norm: 9.5255 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4237 loss: 1.4237 2022/07/29 19:15:12 - mmengine - INFO - Epoch(train) [127][2280/3757] lr: 2.0611e-03 eta: 23:21:27 time: 0.4025 data_time: 0.0195 memory: 17006 grad_norm: 9.2780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/07/29 19:15:21 - mmengine - INFO - Epoch(train) [127][2300/3757] lr: 2.0611e-03 eta: 23:21:19 time: 0.4168 data_time: 0.0244 memory: 17006 grad_norm: 9.4892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3597 loss: 1.3597 2022/07/29 19:15:29 - mmengine - INFO - Epoch(train) [127][2320/3757] lr: 2.0611e-03 eta: 23:21:09 time: 0.4087 data_time: 0.0207 memory: 17006 grad_norm: 9.5675 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8350 loss: 1.8350 2022/07/29 19:15:37 - mmengine - INFO - Epoch(train) [127][2340/3757] lr: 2.0611e-03 eta: 23:21:00 time: 0.4111 data_time: 0.0189 memory: 17006 grad_norm: 9.5422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6865 loss: 1.6865 2022/07/29 19:15:45 - mmengine - INFO - Epoch(train) [127][2360/3757] lr: 2.0611e-03 eta: 23:20:50 time: 0.4039 data_time: 0.0204 memory: 17006 grad_norm: 9.7216 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7625 loss: 1.7625 2022/07/29 19:15:54 - mmengine - INFO - Epoch(train) [127][2380/3757] lr: 2.0611e-03 eta: 23:20:42 time: 0.4221 data_time: 0.0211 memory: 17006 grad_norm: 9.6571 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5041 loss: 1.5041 2022/07/29 19:16:03 - mmengine - INFO - Epoch(train) [127][2400/3757] lr: 2.0611e-03 eta: 23:20:40 time: 0.4796 data_time: 0.0206 memory: 17006 grad_norm: 9.6431 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4068 loss: 1.4068 2022/07/29 19:16:12 - mmengine - INFO - Epoch(train) [127][2420/3757] lr: 2.0611e-03 eta: 23:20:34 time: 0.4456 data_time: 0.0237 memory: 17006 grad_norm: 9.8188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3812 loss: 1.3812 2022/07/29 19:16:20 - mmengine - INFO - Epoch(train) [127][2440/3757] lr: 2.0611e-03 eta: 23:20:24 time: 0.4055 data_time: 0.0202 memory: 17006 grad_norm: 9.5041 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4486 loss: 1.4486 2022/07/29 19:16:29 - mmengine - INFO - Epoch(train) [127][2460/3757] lr: 2.0611e-03 eta: 23:20:17 time: 0.4336 data_time: 0.0219 memory: 17006 grad_norm: 9.5836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6847 loss: 1.6847 2022/07/29 19:16:37 - mmengine - INFO - Epoch(train) [127][2480/3757] lr: 2.0611e-03 eta: 23:20:08 time: 0.4074 data_time: 0.0202 memory: 17006 grad_norm: 9.6786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4119 loss: 1.4119 2022/07/29 19:16:45 - mmengine - INFO - Epoch(train) [127][2500/3757] lr: 2.0611e-03 eta: 23:19:58 time: 0.4028 data_time: 0.0198 memory: 17006 grad_norm: 9.6771 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5300 loss: 1.5300 2022/07/29 19:16:54 - mmengine - INFO - Epoch(train) [127][2520/3757] lr: 2.0611e-03 eta: 23:19:52 time: 0.4487 data_time: 0.0222 memory: 17006 grad_norm: 9.6359 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5520 loss: 1.5520 2022/07/29 19:17:02 - mmengine - INFO - Epoch(train) [127][2540/3757] lr: 2.0611e-03 eta: 23:19:42 time: 0.4054 data_time: 0.0216 memory: 17006 grad_norm: 9.8236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5863 loss: 1.5863 2022/07/29 19:17:11 - mmengine - INFO - Epoch(train) [127][2560/3757] lr: 2.0611e-03 eta: 23:19:33 time: 0.4130 data_time: 0.0216 memory: 17006 grad_norm: 9.1771 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8259 loss: 1.8259 2022/07/29 19:17:19 - mmengine - INFO - Epoch(train) [127][2580/3757] lr: 2.0611e-03 eta: 23:19:25 time: 0.4192 data_time: 0.0209 memory: 17006 grad_norm: 9.2038 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4401 loss: 1.4401 2022/07/29 19:17:27 - mmengine - INFO - Epoch(train) [127][2600/3757] lr: 2.0611e-03 eta: 23:19:16 time: 0.4117 data_time: 0.0188 memory: 17006 grad_norm: 9.9247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8911 loss: 1.8911 2022/07/29 19:17:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:17:36 - mmengine - INFO - Epoch(train) [127][2620/3757] lr: 2.0611e-03 eta: 23:19:06 time: 0.4085 data_time: 0.0193 memory: 17006 grad_norm: 9.5917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7391 loss: 1.7391 2022/07/29 19:17:44 - mmengine - INFO - Epoch(train) [127][2640/3757] lr: 2.0611e-03 eta: 23:18:56 time: 0.4015 data_time: 0.0190 memory: 17006 grad_norm: 9.2834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/07/29 19:17:52 - mmengine - INFO - Epoch(train) [127][2660/3757] lr: 2.0611e-03 eta: 23:18:49 time: 0.4306 data_time: 0.0216 memory: 17006 grad_norm: 9.5615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8252 loss: 1.8252 2022/07/29 19:18:01 - mmengine - INFO - Epoch(train) [127][2680/3757] lr: 2.0611e-03 eta: 23:18:42 time: 0.4340 data_time: 0.0204 memory: 17006 grad_norm: 9.5388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5930 loss: 1.5930 2022/07/29 19:18:09 - mmengine - INFO - Epoch(train) [127][2700/3757] lr: 2.0611e-03 eta: 23:18:34 time: 0.4260 data_time: 0.0261 memory: 17006 grad_norm: 9.5521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7769 loss: 1.7769 2022/07/29 19:18:18 - mmengine - INFO - Epoch(train) [127][2720/3757] lr: 2.0611e-03 eta: 23:18:28 time: 0.4352 data_time: 0.0206 memory: 17006 grad_norm: 9.9033 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3423 loss: 1.3423 2022/07/29 19:18:26 - mmengine - INFO - Epoch(train) [127][2740/3757] lr: 2.0611e-03 eta: 23:18:18 time: 0.4030 data_time: 0.0200 memory: 17006 grad_norm: 9.1484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4545 loss: 1.4545 2022/07/29 19:18:35 - mmengine - INFO - Epoch(train) [127][2760/3757] lr: 2.0611e-03 eta: 23:18:10 time: 0.4276 data_time: 0.0218 memory: 17006 grad_norm: 9.4459 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6103 loss: 1.6103 2022/07/29 19:18:43 - mmengine - INFO - Epoch(train) [127][2780/3757] lr: 2.0611e-03 eta: 23:18:01 time: 0.4099 data_time: 0.0212 memory: 17006 grad_norm: 9.8842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8871 loss: 1.8871 2022/07/29 19:18:51 - mmengine - INFO - Epoch(train) [127][2800/3757] lr: 2.0611e-03 eta: 23:17:52 time: 0.4199 data_time: 0.0209 memory: 17006 grad_norm: 9.4700 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6645 loss: 1.6645 2022/07/29 19:19:00 - mmengine - INFO - Epoch(train) [127][2820/3757] lr: 2.0611e-03 eta: 23:17:44 time: 0.4227 data_time: 0.0205 memory: 17006 grad_norm: 9.5746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3829 loss: 1.3829 2022/07/29 19:19:08 - mmengine - INFO - Epoch(train) [127][2840/3757] lr: 2.0611e-03 eta: 23:17:36 time: 0.4174 data_time: 0.0208 memory: 17006 grad_norm: 10.0074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6875 loss: 1.6875 2022/07/29 19:19:16 - mmengine - INFO - Epoch(train) [127][2860/3757] lr: 2.0611e-03 eta: 23:17:26 time: 0.4029 data_time: 0.0191 memory: 17006 grad_norm: 9.8356 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6900 loss: 1.6900 2022/07/29 19:19:25 - mmengine - INFO - Epoch(train) [127][2880/3757] lr: 2.0611e-03 eta: 23:17:18 time: 0.4242 data_time: 0.0213 memory: 17006 grad_norm: 9.3617 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5071 loss: 1.5071 2022/07/29 19:19:33 - mmengine - INFO - Epoch(train) [127][2900/3757] lr: 2.0611e-03 eta: 23:17:09 time: 0.4161 data_time: 0.0209 memory: 17006 grad_norm: 9.4974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5865 loss: 1.5865 2022/07/29 19:19:42 - mmengine - INFO - Epoch(train) [127][2920/3757] lr: 2.0611e-03 eta: 23:17:03 time: 0.4380 data_time: 0.0209 memory: 17006 grad_norm: 9.1145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3719 loss: 1.3719 2022/07/29 19:19:50 - mmengine - INFO - Epoch(train) [127][2940/3757] lr: 2.0611e-03 eta: 23:16:54 time: 0.4173 data_time: 0.0218 memory: 17006 grad_norm: 9.0892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5277 loss: 1.5277 2022/07/29 19:19:59 - mmengine - INFO - Epoch(train) [127][2960/3757] lr: 2.0611e-03 eta: 23:16:47 time: 0.4334 data_time: 0.0209 memory: 17006 grad_norm: 9.2782 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5794 loss: 1.5794 2022/07/29 19:20:07 - mmengine - INFO - Epoch(train) [127][2980/3757] lr: 2.0611e-03 eta: 23:16:38 time: 0.4076 data_time: 0.0201 memory: 17006 grad_norm: 9.5141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6786 loss: 1.6786 2022/07/29 19:20:16 - mmengine - INFO - Epoch(train) [127][3000/3757] lr: 2.0611e-03 eta: 23:16:30 time: 0.4271 data_time: 0.0268 memory: 17006 grad_norm: 9.2406 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.3417 loss: 1.3417 2022/07/29 19:20:24 - mmengine - INFO - Epoch(train) [127][3020/3757] lr: 2.0611e-03 eta: 23:16:22 time: 0.4212 data_time: 0.0198 memory: 17006 grad_norm: 9.5705 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6306 loss: 1.6306 2022/07/29 19:20:33 - mmengine - INFO - Epoch(train) [127][3040/3757] lr: 2.0611e-03 eta: 23:16:14 time: 0.4203 data_time: 0.0223 memory: 17006 grad_norm: 9.1232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3890 loss: 1.3890 2022/07/29 19:20:41 - mmengine - INFO - Epoch(train) [127][3060/3757] lr: 2.0611e-03 eta: 23:16:04 time: 0.4072 data_time: 0.0216 memory: 17006 grad_norm: 9.6851 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7067 loss: 1.7067 2022/07/29 19:20:49 - mmengine - INFO - Epoch(train) [127][3080/3757] lr: 2.0611e-03 eta: 23:15:57 time: 0.4290 data_time: 0.0201 memory: 17006 grad_norm: 9.2850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6377 loss: 1.6377 2022/07/29 19:20:58 - mmengine - INFO - Epoch(train) [127][3100/3757] lr: 2.0611e-03 eta: 23:15:47 time: 0.4092 data_time: 0.0196 memory: 17006 grad_norm: 8.7280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2514 loss: 1.2514 2022/07/29 19:21:06 - mmengine - INFO - Epoch(train) [127][3120/3757] lr: 2.0611e-03 eta: 23:15:37 time: 0.4041 data_time: 0.0194 memory: 17006 grad_norm: 9.4407 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6187 loss: 1.6187 2022/07/29 19:21:14 - mmengine - INFO - Epoch(train) [127][3140/3757] lr: 2.0611e-03 eta: 23:15:29 time: 0.4163 data_time: 0.0208 memory: 17006 grad_norm: 9.2946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5521 loss: 1.5521 2022/07/29 19:21:22 - mmengine - INFO - Epoch(train) [127][3160/3757] lr: 2.0611e-03 eta: 23:15:19 time: 0.4067 data_time: 0.0219 memory: 17006 grad_norm: 9.4290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4943 loss: 1.4943 2022/07/29 19:21:31 - mmengine - INFO - Epoch(train) [127][3180/3757] lr: 2.0611e-03 eta: 23:15:12 time: 0.4329 data_time: 0.0221 memory: 17006 grad_norm: 9.4474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4603 loss: 1.4603 2022/07/29 19:21:39 - mmengine - INFO - Epoch(train) [127][3200/3757] lr: 2.0611e-03 eta: 23:15:02 time: 0.4061 data_time: 0.0206 memory: 17006 grad_norm: 9.6345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7102 loss: 1.7102 2022/07/29 19:21:47 - mmengine - INFO - Epoch(train) [127][3220/3757] lr: 2.0611e-03 eta: 23:14:52 time: 0.4034 data_time: 0.0203 memory: 17006 grad_norm: 9.6829 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7565 loss: 1.7565 2022/07/29 19:21:56 - mmengine - INFO - Epoch(train) [127][3240/3757] lr: 2.0611e-03 eta: 23:14:46 time: 0.4420 data_time: 0.0217 memory: 17006 grad_norm: 9.9099 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6333 loss: 1.6333 2022/07/29 19:22:04 - mmengine - INFO - Epoch(train) [127][3260/3757] lr: 2.0611e-03 eta: 23:14:37 time: 0.4057 data_time: 0.0215 memory: 17006 grad_norm: 9.2350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2876 loss: 1.2876 2022/07/29 19:22:14 - mmengine - INFO - Epoch(train) [127][3280/3757] lr: 2.0611e-03 eta: 23:14:34 time: 0.4775 data_time: 0.0227 memory: 17006 grad_norm: 9.1829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6513 loss: 1.6513 2022/07/29 19:22:22 - mmengine - INFO - Epoch(train) [127][3300/3757] lr: 2.0611e-03 eta: 23:14:24 time: 0.4060 data_time: 0.0221 memory: 17006 grad_norm: 9.1530 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4372 loss: 1.4372 2022/07/29 19:22:30 - mmengine - INFO - Epoch(train) [127][3320/3757] lr: 2.0611e-03 eta: 23:14:15 time: 0.4083 data_time: 0.0209 memory: 17006 grad_norm: 9.4894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6061 loss: 1.6061 2022/07/29 19:22:39 - mmengine - INFO - Epoch(train) [127][3340/3757] lr: 2.0611e-03 eta: 23:14:07 time: 0.4276 data_time: 0.0213 memory: 17006 grad_norm: 9.2908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8472 loss: 1.8472 2022/07/29 19:22:47 - mmengine - INFO - Epoch(train) [127][3360/3757] lr: 2.0611e-03 eta: 23:13:57 time: 0.4040 data_time: 0.0211 memory: 17006 grad_norm: 9.6235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5366 loss: 1.5366 2022/07/29 19:22:55 - mmengine - INFO - Epoch(train) [127][3380/3757] lr: 2.0611e-03 eta: 23:13:47 time: 0.4038 data_time: 0.0199 memory: 17006 grad_norm: 9.8113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4411 loss: 1.4411 2022/07/29 19:23:03 - mmengine - INFO - Epoch(train) [127][3400/3757] lr: 2.0611e-03 eta: 23:13:39 time: 0.4199 data_time: 0.0215 memory: 17006 grad_norm: 9.3546 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4197 loss: 1.4197 2022/07/29 19:23:12 - mmengine - INFO - Epoch(train) [127][3420/3757] lr: 2.0611e-03 eta: 23:13:31 time: 0.4266 data_time: 0.0204 memory: 17006 grad_norm: 9.3012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2754 loss: 1.2754 2022/07/29 19:23:21 - mmengine - INFO - Epoch(train) [127][3440/3757] lr: 2.0611e-03 eta: 23:13:24 time: 0.4329 data_time: 0.0211 memory: 17006 grad_norm: 9.7130 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7568 loss: 1.7568 2022/07/29 19:23:29 - mmengine - INFO - Epoch(train) [127][3460/3757] lr: 2.0611e-03 eta: 23:13:15 time: 0.4057 data_time: 0.0200 memory: 17006 grad_norm: 9.7376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8183 loss: 1.8183 2022/07/29 19:23:37 - mmengine - INFO - Epoch(train) [127][3480/3757] lr: 2.0611e-03 eta: 23:13:05 time: 0.4059 data_time: 0.0204 memory: 17006 grad_norm: 9.5860 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5345 loss: 1.5345 2022/07/29 19:23:46 - mmengine - INFO - Epoch(train) [127][3500/3757] lr: 2.0611e-03 eta: 23:12:59 time: 0.4440 data_time: 0.0229 memory: 17006 grad_norm: 9.9893 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8378 loss: 1.8378 2022/07/29 19:23:54 - mmengine - INFO - Epoch(train) [127][3520/3757] lr: 2.0611e-03 eta: 23:12:49 time: 0.4055 data_time: 0.0194 memory: 17006 grad_norm: 9.3008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4395 loss: 1.4395 2022/07/29 19:24:03 - mmengine - INFO - Epoch(train) [127][3540/3757] lr: 2.0611e-03 eta: 23:12:43 time: 0.4436 data_time: 0.0229 memory: 17006 grad_norm: 9.6845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8031 loss: 1.8031 2022/07/29 19:24:11 - mmengine - INFO - Epoch(train) [127][3560/3757] lr: 2.0611e-03 eta: 23:12:34 time: 0.4074 data_time: 0.0207 memory: 17006 grad_norm: 9.2699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5870 loss: 1.5870 2022/07/29 19:24:20 - mmengine - INFO - Epoch(train) [127][3580/3757] lr: 2.0611e-03 eta: 23:12:31 time: 0.4731 data_time: 0.0206 memory: 17006 grad_norm: 8.9897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5891 loss: 1.5891 2022/07/29 19:24:29 - mmengine - INFO - Epoch(train) [127][3600/3757] lr: 2.0611e-03 eta: 23:12:21 time: 0.4067 data_time: 0.0214 memory: 17006 grad_norm: 9.4414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7152 loss: 1.7152 2022/07/29 19:24:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:24:37 - mmengine - INFO - Epoch(train) [127][3620/3757] lr: 2.0611e-03 eta: 23:12:11 time: 0.4051 data_time: 0.0203 memory: 17006 grad_norm: 9.8880 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6567 loss: 1.6567 2022/07/29 19:24:46 - mmengine - INFO - Epoch(train) [127][3640/3757] lr: 2.0611e-03 eta: 23:12:05 time: 0.4418 data_time: 0.0206 memory: 17006 grad_norm: 9.3525 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4702 loss: 1.4702 2022/07/29 19:24:54 - mmengine - INFO - Epoch(train) [127][3660/3757] lr: 2.0611e-03 eta: 23:11:55 time: 0.4055 data_time: 0.0217 memory: 17006 grad_norm: 9.6201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5973 loss: 1.5973 2022/07/29 19:25:02 - mmengine - INFO - Epoch(train) [127][3680/3757] lr: 2.0611e-03 eta: 23:11:48 time: 0.4350 data_time: 0.0226 memory: 17006 grad_norm: 9.1124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3125 loss: 1.3125 2022/07/29 19:25:11 - mmengine - INFO - Epoch(train) [127][3700/3757] lr: 2.0611e-03 eta: 23:11:39 time: 0.4034 data_time: 0.0199 memory: 17006 grad_norm: 9.7256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4036 loss: 1.4036 2022/07/29 19:25:19 - mmengine - INFO - Epoch(train) [127][3720/3757] lr: 2.0611e-03 eta: 23:11:32 time: 0.4358 data_time: 0.0225 memory: 17006 grad_norm: 9.2406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5740 loss: 1.5740 2022/07/29 19:25:27 - mmengine - INFO - Epoch(train) [127][3740/3757] lr: 2.0611e-03 eta: 23:11:22 time: 0.4049 data_time: 0.0206 memory: 17006 grad_norm: 9.5373 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3896 loss: 1.3896 2022/07/29 19:25:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:25:34 - mmengine - INFO - Epoch(train) [127][3757/3757] lr: 2.0611e-03 eta: 23:11:22 time: 0.3940 data_time: 0.0192 memory: 17006 grad_norm: 9.3008 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2812 loss: 1.2812 2022/07/29 19:25:34 - mmengine - INFO - Saving checkpoint at 127 epochs 2022/07/29 19:25:49 - mmengine - INFO - Epoch(train) [128][20/3757] lr: 1.9909e-03 eta: 23:10:36 time: 0.4636 data_time: 0.0706 memory: 17006 grad_norm: 9.5693 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6534 loss: 1.6534 2022/07/29 19:25:57 - mmengine - INFO - Epoch(train) [128][40/3757] lr: 1.9909e-03 eta: 23:10:27 time: 0.4105 data_time: 0.0252 memory: 17006 grad_norm: 9.4354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4678 loss: 1.4678 2022/07/29 19:26:06 - mmengine - INFO - Epoch(train) [128][60/3757] lr: 1.9909e-03 eta: 23:10:17 time: 0.4025 data_time: 0.0180 memory: 17006 grad_norm: 9.3686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7798 loss: 1.7798 2022/07/29 19:26:14 - mmengine - INFO - Epoch(train) [128][80/3757] lr: 1.9909e-03 eta: 23:10:11 time: 0.4367 data_time: 0.0214 memory: 17006 grad_norm: 9.0992 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4769 loss: 1.4769 2022/07/29 19:26:23 - mmengine - INFO - Epoch(train) [128][100/3757] lr: 1.9909e-03 eta: 23:10:02 time: 0.4118 data_time: 0.0194 memory: 17006 grad_norm: 9.2897 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4982 loss: 1.4982 2022/07/29 19:26:31 - mmengine - INFO - Epoch(train) [128][120/3757] lr: 1.9909e-03 eta: 23:09:53 time: 0.4137 data_time: 0.0225 memory: 17006 grad_norm: 9.8087 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6686 loss: 1.6686 2022/07/29 19:26:39 - mmengine - INFO - Epoch(train) [128][140/3757] lr: 1.9909e-03 eta: 23:09:44 time: 0.4119 data_time: 0.0208 memory: 17006 grad_norm: 9.1524 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8034 loss: 1.8034 2022/07/29 19:26:47 - mmengine - INFO - Epoch(train) [128][160/3757] lr: 1.9909e-03 eta: 23:09:34 time: 0.4050 data_time: 0.0215 memory: 17006 grad_norm: 9.4944 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7855 loss: 1.7855 2022/07/29 19:26:56 - mmengine - INFO - Epoch(train) [128][180/3757] lr: 1.9909e-03 eta: 23:09:29 time: 0.4508 data_time: 0.0220 memory: 17006 grad_norm: 9.6824 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4901 loss: 1.4901 2022/07/29 19:27:04 - mmengine - INFO - Epoch(train) [128][200/3757] lr: 1.9909e-03 eta: 23:09:19 time: 0.4055 data_time: 0.0207 memory: 17006 grad_norm: 9.1913 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3322 loss: 1.3322 2022/07/29 19:27:13 - mmengine - INFO - Epoch(train) [128][220/3757] lr: 1.9909e-03 eta: 23:09:10 time: 0.4179 data_time: 0.0235 memory: 17006 grad_norm: 9.3224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7061 loss: 1.7061 2022/07/29 19:27:21 - mmengine - INFO - Epoch(train) [128][240/3757] lr: 1.9909e-03 eta: 23:09:01 time: 0.4047 data_time: 0.0205 memory: 17006 grad_norm: 9.2861 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3198 loss: 1.3198 2022/07/29 19:27:29 - mmengine - INFO - Epoch(train) [128][260/3757] lr: 1.9909e-03 eta: 23:08:53 time: 0.4278 data_time: 0.0242 memory: 17006 grad_norm: 9.5368 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5573 loss: 1.5573 2022/07/29 19:27:38 - mmengine - INFO - Epoch(train) [128][280/3757] lr: 1.9909e-03 eta: 23:08:43 time: 0.4031 data_time: 0.0200 memory: 17006 grad_norm: 9.6364 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7174 loss: 1.7174 2022/07/29 19:27:46 - mmengine - INFO - Epoch(train) [128][300/3757] lr: 1.9909e-03 eta: 23:08:33 time: 0.4051 data_time: 0.0212 memory: 17006 grad_norm: 9.2596 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7085 loss: 1.7085 2022/07/29 19:27:55 - mmengine - INFO - Epoch(train) [128][320/3757] lr: 1.9909e-03 eta: 23:08:27 time: 0.4446 data_time: 0.0223 memory: 17006 grad_norm: 9.0594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3502 loss: 1.3502 2022/07/29 19:28:03 - mmengine - INFO - Epoch(train) [128][340/3757] lr: 1.9909e-03 eta: 23:08:18 time: 0.4033 data_time: 0.0181 memory: 17006 grad_norm: 9.0837 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9533 loss: 1.9533 2022/07/29 19:28:11 - mmengine - INFO - Epoch(train) [128][360/3757] lr: 1.9909e-03 eta: 23:08:09 time: 0.4192 data_time: 0.0235 memory: 17006 grad_norm: 9.4892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6112 loss: 1.6112 2022/07/29 19:28:19 - mmengine - INFO - Epoch(train) [128][380/3757] lr: 1.9909e-03 eta: 23:08:00 time: 0.4089 data_time: 0.0233 memory: 17006 grad_norm: 9.6673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5101 loss: 1.5101 2022/07/29 19:28:28 - mmengine - INFO - Epoch(train) [128][400/3757] lr: 1.9909e-03 eta: 23:07:50 time: 0.4062 data_time: 0.0211 memory: 17006 grad_norm: 9.4865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2630 loss: 1.2630 2022/07/29 19:28:36 - mmengine - INFO - Epoch(train) [128][420/3757] lr: 1.9909e-03 eta: 23:07:41 time: 0.4095 data_time: 0.0206 memory: 17006 grad_norm: 9.4213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8027 loss: 1.8027 2022/07/29 19:28:44 - mmengine - INFO - Epoch(train) [128][440/3757] lr: 1.9909e-03 eta: 23:07:32 time: 0.4122 data_time: 0.0207 memory: 17006 grad_norm: 9.3166 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4693 loss: 1.4693 2022/07/29 19:28:53 - mmengine - INFO - Epoch(train) [128][460/3757] lr: 1.9909e-03 eta: 23:07:24 time: 0.4269 data_time: 0.0209 memory: 17006 grad_norm: 9.2755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4896 loss: 1.4896 2022/07/29 19:29:01 - mmengine - INFO - Epoch(train) [128][480/3757] lr: 1.9909e-03 eta: 23:07:15 time: 0.4043 data_time: 0.0213 memory: 17006 grad_norm: 9.5948 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4386 loss: 1.4386 2022/07/29 19:29:09 - mmengine - INFO - Epoch(train) [128][500/3757] lr: 1.9909e-03 eta: 23:07:08 time: 0.4399 data_time: 0.0192 memory: 17006 grad_norm: 9.4050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7453 loss: 1.7453 2022/07/29 19:29:18 - mmengine - INFO - Epoch(train) [128][520/3757] lr: 1.9909e-03 eta: 23:06:58 time: 0.4045 data_time: 0.0197 memory: 17006 grad_norm: 9.5862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6207 loss: 1.6207 2022/07/29 19:29:26 - mmengine - INFO - Epoch(train) [128][540/3757] lr: 1.9909e-03 eta: 23:06:49 time: 0.4106 data_time: 0.0206 memory: 17006 grad_norm: 9.4052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6278 loss: 1.6278 2022/07/29 19:29:35 - mmengine - INFO - Epoch(train) [128][560/3757] lr: 1.9909e-03 eta: 23:06:45 time: 0.4636 data_time: 0.0196 memory: 17006 grad_norm: 9.0423 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2395 loss: 1.2395 2022/07/29 19:29:43 - mmengine - INFO - Epoch(train) [128][580/3757] lr: 1.9909e-03 eta: 23:06:36 time: 0.4120 data_time: 0.0204 memory: 17006 grad_norm: 9.9351 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7609 loss: 1.7609 2022/07/29 19:29:52 - mmengine - INFO - Epoch(train) [128][600/3757] lr: 1.9909e-03 eta: 23:06:27 time: 0.4098 data_time: 0.0213 memory: 17006 grad_norm: 9.7718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5655 loss: 1.5655 2022/07/29 19:30:01 - mmengine - INFO - Epoch(train) [128][620/3757] lr: 1.9909e-03 eta: 23:06:22 time: 0.4525 data_time: 0.0236 memory: 17006 grad_norm: 9.2325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5060 loss: 1.5060 2022/07/29 19:30:09 - mmengine - INFO - Epoch(train) [128][640/3757] lr: 1.9909e-03 eta: 23:06:12 time: 0.4046 data_time: 0.0206 memory: 17006 grad_norm: 10.0397 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8230 loss: 1.8230 2022/07/29 19:30:17 - mmengine - INFO - Epoch(train) [128][660/3757] lr: 1.9909e-03 eta: 23:06:02 time: 0.4048 data_time: 0.0206 memory: 17006 grad_norm: 9.3946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8278 loss: 1.8278 2022/07/29 19:30:25 - mmengine - INFO - Epoch(train) [128][680/3757] lr: 1.9909e-03 eta: 23:05:54 time: 0.4264 data_time: 0.0215 memory: 17006 grad_norm: 9.6224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/07/29 19:30:34 - mmengine - INFO - Epoch(train) [128][700/3757] lr: 1.9909e-03 eta: 23:05:45 time: 0.4065 data_time: 0.0202 memory: 17006 grad_norm: 9.6734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5247 loss: 1.5247 2022/07/29 19:30:42 - mmengine - INFO - Epoch(train) [128][720/3757] lr: 1.9909e-03 eta: 23:05:37 time: 0.4208 data_time: 0.0207 memory: 17006 grad_norm: 9.5153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4274 loss: 1.4274 2022/07/29 19:30:50 - mmengine - INFO - Epoch(train) [128][740/3757] lr: 1.9909e-03 eta: 23:05:27 time: 0.4045 data_time: 0.0197 memory: 17006 grad_norm: 9.8725 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7827 loss: 1.7827 2022/07/29 19:30:59 - mmengine - INFO - Epoch(train) [128][760/3757] lr: 1.9909e-03 eta: 23:05:18 time: 0.4157 data_time: 0.0201 memory: 17006 grad_norm: 9.3387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3556 loss: 1.3556 2022/07/29 19:31:07 - mmengine - INFO - Epoch(train) [128][780/3757] lr: 1.9909e-03 eta: 23:05:10 time: 0.4188 data_time: 0.0219 memory: 17006 grad_norm: 9.5044 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8815 loss: 1.8815 2022/07/29 19:31:15 - mmengine - INFO - Epoch(train) [128][800/3757] lr: 1.9909e-03 eta: 23:05:00 time: 0.4058 data_time: 0.0201 memory: 17006 grad_norm: 9.3315 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6422 loss: 1.6422 2022/07/29 19:31:24 - mmengine - INFO - Epoch(train) [128][820/3757] lr: 1.9909e-03 eta: 23:04:53 time: 0.4349 data_time: 0.0234 memory: 17006 grad_norm: 9.7308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5008 loss: 1.5008 2022/07/29 19:31:32 - mmengine - INFO - Epoch(train) [128][840/3757] lr: 1.9909e-03 eta: 23:04:43 time: 0.4034 data_time: 0.0207 memory: 17006 grad_norm: 9.4074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5177 loss: 1.5177 2022/07/29 19:31:41 - mmengine - INFO - Epoch(train) [128][860/3757] lr: 1.9909e-03 eta: 23:04:39 time: 0.4631 data_time: 0.0213 memory: 17006 grad_norm: 9.5462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6809 loss: 1.6809 2022/07/29 19:31:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:31:49 - mmengine - INFO - Epoch(train) [128][880/3757] lr: 1.9909e-03 eta: 23:04:30 time: 0.4060 data_time: 0.0216 memory: 17006 grad_norm: 9.3312 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4691 loss: 1.4691 2022/07/29 19:31:57 - mmengine - INFO - Epoch(train) [128][900/3757] lr: 1.9909e-03 eta: 23:04:20 time: 0.4028 data_time: 0.0193 memory: 17006 grad_norm: 9.6184 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5319 loss: 1.5319 2022/07/29 19:32:07 - mmengine - INFO - Epoch(train) [128][920/3757] lr: 1.9909e-03 eta: 23:04:15 time: 0.4616 data_time: 0.0235 memory: 17006 grad_norm: 9.4136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1879 loss: 1.1879 2022/07/29 19:32:15 - mmengine - INFO - Epoch(train) [128][940/3757] lr: 1.9909e-03 eta: 23:04:06 time: 0.4090 data_time: 0.0191 memory: 17006 grad_norm: 9.7505 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4012 loss: 1.4012 2022/07/29 19:32:25 - mmengine - INFO - Epoch(train) [128][960/3757] lr: 1.9909e-03 eta: 23:04:04 time: 0.4887 data_time: 0.0239 memory: 17006 grad_norm: 9.5797 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7690 loss: 1.7690 2022/07/29 19:32:33 - mmengine - INFO - Epoch(train) [128][980/3757] lr: 1.9909e-03 eta: 23:03:54 time: 0.4038 data_time: 0.0186 memory: 17006 grad_norm: 8.8797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3976 loss: 1.3976 2022/07/29 19:32:41 - mmengine - INFO - Epoch(train) [128][1000/3757] lr: 1.9909e-03 eta: 23:03:46 time: 0.4203 data_time: 0.0226 memory: 17006 grad_norm: 9.3147 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.9298 loss: 1.9298 2022/07/29 19:32:50 - mmengine - INFO - Epoch(train) [128][1020/3757] lr: 1.9909e-03 eta: 23:03:41 time: 0.4584 data_time: 0.0228 memory: 17006 grad_norm: 9.3633 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4789 loss: 1.4789 2022/07/29 19:32:58 - mmengine - INFO - Epoch(train) [128][1040/3757] lr: 1.9909e-03 eta: 23:03:31 time: 0.4035 data_time: 0.0203 memory: 17006 grad_norm: 9.7163 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6918 loss: 1.6918 2022/07/29 19:33:07 - mmengine - INFO - Epoch(train) [128][1060/3757] lr: 1.9909e-03 eta: 23:03:22 time: 0.4034 data_time: 0.0189 memory: 17006 grad_norm: 9.8792 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6481 loss: 1.6481 2022/07/29 19:33:16 - mmengine - INFO - Epoch(train) [128][1080/3757] lr: 1.9909e-03 eta: 23:03:17 time: 0.4628 data_time: 0.0269 memory: 17006 grad_norm: 9.3997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/07/29 19:33:24 - mmengine - INFO - Epoch(train) [128][1100/3757] lr: 1.9909e-03 eta: 23:03:07 time: 0.4028 data_time: 0.0180 memory: 17006 grad_norm: 9.1873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4661 loss: 1.4661 2022/07/29 19:33:33 - mmengine - INFO - Epoch(train) [128][1120/3757] lr: 1.9909e-03 eta: 23:03:02 time: 0.4523 data_time: 0.0234 memory: 17006 grad_norm: 8.9213 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2649 loss: 1.2649 2022/07/29 19:33:41 - mmengine - INFO - Epoch(train) [128][1140/3757] lr: 1.9909e-03 eta: 23:02:52 time: 0.4054 data_time: 0.0206 memory: 17006 grad_norm: 9.4606 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4390 loss: 1.4390 2022/07/29 19:33:49 - mmengine - INFO - Epoch(train) [128][1160/3757] lr: 1.9909e-03 eta: 23:02:44 time: 0.4176 data_time: 0.0229 memory: 17006 grad_norm: 9.6781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5285 loss: 1.5285 2022/07/29 19:33:58 - mmengine - INFO - Epoch(train) [128][1180/3757] lr: 1.9909e-03 eta: 23:02:34 time: 0.4030 data_time: 0.0181 memory: 17006 grad_norm: 9.8352 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7424 loss: 1.7424 2022/07/29 19:34:06 - mmengine - INFO - Epoch(train) [128][1200/3757] lr: 1.9909e-03 eta: 23:02:24 time: 0.4042 data_time: 0.0202 memory: 17006 grad_norm: 9.6920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2573 loss: 1.2573 2022/07/29 19:34:14 - mmengine - INFO - Epoch(train) [128][1220/3757] lr: 1.9909e-03 eta: 23:02:18 time: 0.4401 data_time: 0.0229 memory: 17006 grad_norm: 9.7592 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5298 loss: 1.5298 2022/07/29 19:34:23 - mmengine - INFO - Epoch(train) [128][1240/3757] lr: 1.9909e-03 eta: 23:02:08 time: 0.4051 data_time: 0.0209 memory: 17006 grad_norm: 9.1142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4630 loss: 1.4630 2022/07/29 19:34:32 - mmengine - INFO - Epoch(train) [128][1260/3757] lr: 1.9909e-03 eta: 23:02:04 time: 0.4663 data_time: 0.0230 memory: 17006 grad_norm: 9.7000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7659 loss: 1.7659 2022/07/29 19:34:40 - mmengine - INFO - Epoch(train) [128][1280/3757] lr: 1.9909e-03 eta: 23:01:55 time: 0.4056 data_time: 0.0207 memory: 17006 grad_norm: 9.0796 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5254 loss: 1.5254 2022/07/29 19:34:48 - mmengine - INFO - Epoch(train) [128][1300/3757] lr: 1.9909e-03 eta: 23:01:45 time: 0.4038 data_time: 0.0202 memory: 17006 grad_norm: 9.6565 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7126 loss: 1.7126 2022/07/29 19:34:57 - mmengine - INFO - Epoch(train) [128][1320/3757] lr: 1.9909e-03 eta: 23:01:37 time: 0.4214 data_time: 0.0227 memory: 17006 grad_norm: 9.4924 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6047 loss: 1.6047 2022/07/29 19:35:05 - mmengine - INFO - Epoch(train) [128][1340/3757] lr: 1.9909e-03 eta: 23:01:28 time: 0.4211 data_time: 0.0217 memory: 17006 grad_norm: 9.3821 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7209 loss: 1.7209 2022/07/29 19:35:13 - mmengine - INFO - Epoch(train) [128][1360/3757] lr: 1.9909e-03 eta: 23:01:19 time: 0.4050 data_time: 0.0224 memory: 17006 grad_norm: 9.4309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4123 loss: 1.4123 2022/07/29 19:35:22 - mmengine - INFO - Epoch(train) [128][1380/3757] lr: 1.9909e-03 eta: 23:01:10 time: 0.4200 data_time: 0.0214 memory: 17006 grad_norm: 9.6125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3539 loss: 1.3539 2022/07/29 19:35:30 - mmengine - INFO - Epoch(train) [128][1400/3757] lr: 1.9909e-03 eta: 23:01:03 time: 0.4279 data_time: 0.0208 memory: 17006 grad_norm: 9.7540 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6849 loss: 1.6849 2022/07/29 19:35:38 - mmengine - INFO - Epoch(train) [128][1420/3757] lr: 1.9909e-03 eta: 23:00:53 time: 0.4048 data_time: 0.0204 memory: 17006 grad_norm: 9.1700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4554 loss: 1.4554 2022/07/29 19:35:47 - mmengine - INFO - Epoch(train) [128][1440/3757] lr: 1.9909e-03 eta: 23:00:45 time: 0.4209 data_time: 0.0225 memory: 17006 grad_norm: 9.9169 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4519 loss: 1.4519 2022/07/29 19:35:55 - mmengine - INFO - Epoch(train) [128][1460/3757] lr: 1.9909e-03 eta: 23:00:35 time: 0.4075 data_time: 0.0191 memory: 17006 grad_norm: 9.6217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4118 loss: 1.4118 2022/07/29 19:36:03 - mmengine - INFO - Epoch(train) [128][1480/3757] lr: 1.9909e-03 eta: 23:00:28 time: 0.4280 data_time: 0.0221 memory: 17006 grad_norm: 9.4246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3628 loss: 1.3628 2022/07/29 19:36:12 - mmengine - INFO - Epoch(train) [128][1500/3757] lr: 1.9909e-03 eta: 23:00:18 time: 0.4057 data_time: 0.0197 memory: 17006 grad_norm: 9.8866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7597 loss: 1.7597 2022/07/29 19:36:20 - mmengine - INFO - Epoch(train) [128][1520/3757] lr: 1.9909e-03 eta: 23:00:10 time: 0.4172 data_time: 0.0222 memory: 17006 grad_norm: 9.0048 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5514 loss: 1.5514 2022/07/29 19:36:28 - mmengine - INFO - Epoch(train) [128][1540/3757] lr: 1.9909e-03 eta: 23:00:00 time: 0.4032 data_time: 0.0196 memory: 17006 grad_norm: 9.6887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5694 loss: 1.5694 2022/07/29 19:36:36 - mmengine - INFO - Epoch(train) [128][1560/3757] lr: 1.9909e-03 eta: 22:59:50 time: 0.4069 data_time: 0.0208 memory: 17006 grad_norm: 9.4384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4971 loss: 1.4971 2022/07/29 19:36:45 - mmengine - INFO - Epoch(train) [128][1580/3757] lr: 1.9909e-03 eta: 22:59:46 time: 0.4572 data_time: 0.0207 memory: 17006 grad_norm: 9.1736 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9084 loss: 1.9084 2022/07/29 19:36:54 - mmengine - INFO - Epoch(train) [128][1600/3757] lr: 1.9909e-03 eta: 22:59:36 time: 0.4074 data_time: 0.0214 memory: 17006 grad_norm: 9.2683 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6535 loss: 1.6535 2022/07/29 19:37:03 - mmengine - INFO - Epoch(train) [128][1620/3757] lr: 1.9909e-03 eta: 22:59:32 time: 0.4647 data_time: 0.0240 memory: 17006 grad_norm: 9.4120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4771 loss: 1.4771 2022/07/29 19:37:11 - mmengine - INFO - Epoch(train) [128][1640/3757] lr: 1.9909e-03 eta: 22:59:22 time: 0.4046 data_time: 0.0207 memory: 17006 grad_norm: 9.3635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8788 loss: 1.8788 2022/07/29 19:37:19 - mmengine - INFO - Epoch(train) [128][1660/3757] lr: 1.9909e-03 eta: 22:59:14 time: 0.4203 data_time: 0.0202 memory: 17006 grad_norm: 8.8232 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3215 loss: 1.3215 2022/07/29 19:37:28 - mmengine - INFO - Epoch(train) [128][1680/3757] lr: 1.9909e-03 eta: 22:59:05 time: 0.4119 data_time: 0.0199 memory: 17006 grad_norm: 9.2102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6749 loss: 1.6749 2022/07/29 19:37:36 - mmengine - INFO - Epoch(train) [128][1700/3757] lr: 1.9909e-03 eta: 22:58:56 time: 0.4131 data_time: 0.0232 memory: 17006 grad_norm: 9.7418 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4420 loss: 1.4420 2022/07/29 19:37:45 - mmengine - INFO - Epoch(train) [128][1720/3757] lr: 1.9909e-03 eta: 22:58:51 time: 0.4553 data_time: 0.0199 memory: 17006 grad_norm: 9.9684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7561 loss: 1.7561 2022/07/29 19:37:53 - mmengine - INFO - Epoch(train) [128][1740/3757] lr: 1.9909e-03 eta: 22:58:42 time: 0.4171 data_time: 0.0217 memory: 17006 grad_norm: 9.8565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6290 loss: 1.6290 2022/07/29 19:38:02 - mmengine - INFO - Epoch(train) [128][1760/3757] lr: 1.9909e-03 eta: 22:58:33 time: 0.4067 data_time: 0.0206 memory: 17006 grad_norm: 9.6039 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6287 loss: 1.6287 2022/07/29 19:38:10 - mmengine - INFO - Epoch(train) [128][1780/3757] lr: 1.9909e-03 eta: 22:58:24 time: 0.4159 data_time: 0.0192 memory: 17006 grad_norm: 9.4671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4417 loss: 1.4417 2022/07/29 19:38:18 - mmengine - INFO - Epoch(train) [128][1800/3757] lr: 1.9909e-03 eta: 22:58:14 time: 0.4058 data_time: 0.0211 memory: 17006 grad_norm: 9.4443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6842 loss: 1.6842 2022/07/29 19:38:26 - mmengine - INFO - Epoch(train) [128][1820/3757] lr: 1.9909e-03 eta: 22:58:05 time: 0.4028 data_time: 0.0188 memory: 17006 grad_norm: 9.3394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3562 loss: 1.3562 2022/07/29 19:38:35 - mmengine - INFO - Epoch(train) [128][1840/3757] lr: 1.9909e-03 eta: 22:57:58 time: 0.4398 data_time: 0.0234 memory: 17006 grad_norm: 9.5948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5847 loss: 1.5847 2022/07/29 19:38:43 - mmengine - INFO - Epoch(train) [128][1860/3757] lr: 1.9909e-03 eta: 22:57:50 time: 0.4175 data_time: 0.0205 memory: 17006 grad_norm: 9.5951 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6694 loss: 1.6694 2022/07/29 19:38:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:38:52 - mmengine - INFO - Epoch(train) [128][1880/3757] lr: 1.9909e-03 eta: 22:57:42 time: 0.4281 data_time: 0.0203 memory: 17006 grad_norm: 9.6604 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3153 loss: 1.3153 2022/07/29 19:39:00 - mmengine - INFO - Epoch(train) [128][1900/3757] lr: 1.9909e-03 eta: 22:57:32 time: 0.4050 data_time: 0.0203 memory: 17006 grad_norm: 9.7983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5007 loss: 1.5007 2022/07/29 19:39:08 - mmengine - INFO - Epoch(train) [128][1920/3757] lr: 1.9909e-03 eta: 22:57:23 time: 0.4029 data_time: 0.0202 memory: 17006 grad_norm: 9.3087 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4275 loss: 1.4275 2022/07/29 19:39:17 - mmengine - INFO - Epoch(train) [128][1940/3757] lr: 1.9909e-03 eta: 22:57:16 time: 0.4347 data_time: 0.0215 memory: 17006 grad_norm: 9.7672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3426 loss: 1.3426 2022/07/29 19:39:25 - mmengine - INFO - Epoch(train) [128][1960/3757] lr: 1.9909e-03 eta: 22:57:06 time: 0.4049 data_time: 0.0216 memory: 17006 grad_norm: 9.4484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5417 loss: 1.5417 2022/07/29 19:39:33 - mmengine - INFO - Epoch(train) [128][1980/3757] lr: 1.9909e-03 eta: 22:56:58 time: 0.4202 data_time: 0.0231 memory: 17006 grad_norm: 9.2564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6579 loss: 1.6579 2022/07/29 19:39:42 - mmengine - INFO - Epoch(train) [128][2000/3757] lr: 1.9909e-03 eta: 22:56:48 time: 0.4075 data_time: 0.0225 memory: 17006 grad_norm: 9.7078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5749 loss: 1.5749 2022/07/29 19:39:51 - mmengine - INFO - Epoch(train) [128][2020/3757] lr: 1.9909e-03 eta: 22:56:42 time: 0.4480 data_time: 0.0213 memory: 17006 grad_norm: 9.3596 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5021 loss: 1.5021 2022/07/29 19:39:59 - mmengine - INFO - Epoch(train) [128][2040/3757] lr: 1.9909e-03 eta: 22:56:33 time: 0.4042 data_time: 0.0206 memory: 17006 grad_norm: 9.3755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4610 loss: 1.4610 2022/07/29 19:40:07 - mmengine - INFO - Epoch(train) [128][2060/3757] lr: 1.9909e-03 eta: 22:56:23 time: 0.4027 data_time: 0.0196 memory: 17006 grad_norm: 9.1260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/07/29 19:40:16 - mmengine - INFO - Epoch(train) [128][2080/3757] lr: 1.9909e-03 eta: 22:56:17 time: 0.4524 data_time: 0.0220 memory: 17006 grad_norm: 9.7937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6237 loss: 1.6237 2022/07/29 19:40:24 - mmengine - INFO - Epoch(train) [128][2100/3757] lr: 1.9909e-03 eta: 22:56:08 time: 0.4051 data_time: 0.0188 memory: 17006 grad_norm: 9.8820 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3190 loss: 1.3190 2022/07/29 19:40:33 - mmengine - INFO - Epoch(train) [128][2120/3757] lr: 1.9909e-03 eta: 22:56:02 time: 0.4469 data_time: 0.0228 memory: 17006 grad_norm: 9.9918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6289 loss: 1.6289 2022/07/29 19:40:41 - mmengine - INFO - Epoch(train) [128][2140/3757] lr: 1.9909e-03 eta: 22:55:52 time: 0.4059 data_time: 0.0206 memory: 17006 grad_norm: 9.7831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5032 loss: 1.5032 2022/07/29 19:40:49 - mmengine - INFO - Epoch(train) [128][2160/3757] lr: 1.9909e-03 eta: 22:55:43 time: 0.4040 data_time: 0.0203 memory: 17006 grad_norm: 9.7483 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6485 loss: 1.6485 2022/07/29 19:40:58 - mmengine - INFO - Epoch(train) [128][2180/3757] lr: 1.9909e-03 eta: 22:55:35 time: 0.4255 data_time: 0.0228 memory: 17006 grad_norm: 9.4760 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8217 loss: 1.8217 2022/07/29 19:41:06 - mmengine - INFO - Epoch(train) [128][2200/3757] lr: 1.9909e-03 eta: 22:55:25 time: 0.4059 data_time: 0.0206 memory: 17006 grad_norm: 9.2102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6050 loss: 1.6050 2022/07/29 19:41:15 - mmengine - INFO - Epoch(train) [128][2220/3757] lr: 1.9909e-03 eta: 22:55:19 time: 0.4412 data_time: 0.0225 memory: 17006 grad_norm: 9.2772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5964 loss: 1.5964 2022/07/29 19:41:23 - mmengine - INFO - Epoch(train) [128][2240/3757] lr: 1.9909e-03 eta: 22:55:09 time: 0.4071 data_time: 0.0226 memory: 17006 grad_norm: 9.4900 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7987 loss: 1.7987 2022/07/29 19:41:32 - mmengine - INFO - Epoch(train) [128][2260/3757] lr: 1.9909e-03 eta: 22:55:04 time: 0.4554 data_time: 0.0236 memory: 17006 grad_norm: 9.7155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4347 loss: 1.4347 2022/07/29 19:41:40 - mmengine - INFO - Epoch(train) [128][2280/3757] lr: 1.9909e-03 eta: 22:54:55 time: 0.4040 data_time: 0.0201 memory: 17006 grad_norm: 9.2213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6385 loss: 1.6385 2022/07/29 19:41:48 - mmengine - INFO - Epoch(train) [128][2300/3757] lr: 1.9909e-03 eta: 22:54:45 time: 0.4046 data_time: 0.0196 memory: 17006 grad_norm: 9.2525 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7025 loss: 1.7025 2022/07/29 19:41:57 - mmengine - INFO - Epoch(train) [128][2320/3757] lr: 1.9909e-03 eta: 22:54:39 time: 0.4444 data_time: 0.0227 memory: 17006 grad_norm: 9.3063 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5129 loss: 1.5129 2022/07/29 19:42:05 - mmengine - INFO - Epoch(train) [128][2340/3757] lr: 1.9909e-03 eta: 22:54:29 time: 0.4043 data_time: 0.0205 memory: 17006 grad_norm: 9.5835 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6658 loss: 1.6658 2022/07/29 19:42:14 - mmengine - INFO - Epoch(train) [128][2360/3757] lr: 1.9909e-03 eta: 22:54:22 time: 0.4332 data_time: 0.0227 memory: 17006 grad_norm: 9.6112 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7160 loss: 1.7160 2022/07/29 19:42:22 - mmengine - INFO - Epoch(train) [128][2380/3757] lr: 1.9909e-03 eta: 22:54:12 time: 0.4026 data_time: 0.0195 memory: 17006 grad_norm: 9.7895 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7212 loss: 1.7212 2022/07/29 19:42:32 - mmengine - INFO - Epoch(train) [128][2400/3757] lr: 1.9909e-03 eta: 22:54:09 time: 0.4771 data_time: 0.0203 memory: 17006 grad_norm: 9.4855 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3415 loss: 1.3415 2022/07/29 19:42:40 - mmengine - INFO - Epoch(train) [128][2420/3757] lr: 1.9909e-03 eta: 22:53:59 time: 0.4037 data_time: 0.0209 memory: 17006 grad_norm: 9.5191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5511 loss: 1.5511 2022/07/29 19:42:48 - mmengine - INFO - Epoch(train) [128][2440/3757] lr: 1.9909e-03 eta: 22:53:49 time: 0.4043 data_time: 0.0206 memory: 17006 grad_norm: 9.5031 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4159 loss: 1.4159 2022/07/29 19:42:58 - mmengine - INFO - Epoch(train) [128][2460/3757] lr: 1.9909e-03 eta: 22:53:48 time: 0.4996 data_time: 0.0219 memory: 17006 grad_norm: 9.2240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4984 loss: 1.4984 2022/07/29 19:43:06 - mmengine - INFO - Epoch(train) [128][2480/3757] lr: 1.9909e-03 eta: 22:53:39 time: 0.4069 data_time: 0.0225 memory: 17006 grad_norm: 9.6789 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5859 loss: 1.5859 2022/07/29 19:43:14 - mmengine - INFO - Epoch(train) [128][2500/3757] lr: 1.9909e-03 eta: 22:53:31 time: 0.4217 data_time: 0.0205 memory: 17006 grad_norm: 9.1437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4987 loss: 1.4987 2022/07/29 19:43:23 - mmengine - INFO - Epoch(train) [128][2520/3757] lr: 1.9909e-03 eta: 22:53:21 time: 0.4070 data_time: 0.0220 memory: 17006 grad_norm: 8.9108 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5163 loss: 1.5163 2022/07/29 19:43:31 - mmengine - INFO - Epoch(train) [128][2540/3757] lr: 1.9909e-03 eta: 22:53:14 time: 0.4303 data_time: 0.0204 memory: 17006 grad_norm: 9.0068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5703 loss: 1.5703 2022/07/29 19:43:39 - mmengine - INFO - Epoch(train) [128][2560/3757] lr: 1.9909e-03 eta: 22:53:04 time: 0.4045 data_time: 0.0204 memory: 17006 grad_norm: 9.4138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5116 loss: 1.5116 2022/07/29 19:43:47 - mmengine - INFO - Epoch(train) [128][2580/3757] lr: 1.9909e-03 eta: 22:52:54 time: 0.4026 data_time: 0.0178 memory: 17006 grad_norm: 9.2377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5500 loss: 1.5500 2022/07/29 19:43:56 - mmengine - INFO - Epoch(train) [128][2600/3757] lr: 1.9909e-03 eta: 22:52:48 time: 0.4392 data_time: 0.0222 memory: 17006 grad_norm: 9.4355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6425 loss: 1.6425 2022/07/29 19:44:04 - mmengine - INFO - Epoch(train) [128][2620/3757] lr: 1.9909e-03 eta: 22:52:38 time: 0.4049 data_time: 0.0193 memory: 17006 grad_norm: 9.5374 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4825 loss: 1.4825 2022/07/29 19:44:13 - mmengine - INFO - Epoch(train) [128][2640/3757] lr: 1.9909e-03 eta: 22:52:33 time: 0.4527 data_time: 0.0202 memory: 17006 grad_norm: 9.6760 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6003 loss: 1.6003 2022/07/29 19:44:21 - mmengine - INFO - Epoch(train) [128][2660/3757] lr: 1.9909e-03 eta: 22:52:23 time: 0.4031 data_time: 0.0177 memory: 17006 grad_norm: 9.6567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7581 loss: 1.7581 2022/07/29 19:44:30 - mmengine - INFO - Epoch(train) [128][2680/3757] lr: 1.9909e-03 eta: 22:52:13 time: 0.4047 data_time: 0.0206 memory: 17006 grad_norm: 9.6267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7601 loss: 1.7601 2022/07/29 19:44:38 - mmengine - INFO - Epoch(train) [128][2700/3757] lr: 1.9909e-03 eta: 22:52:05 time: 0.4236 data_time: 0.0245 memory: 17006 grad_norm: 9.7901 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5439 loss: 1.5439 2022/07/29 19:44:47 - mmengine - INFO - Epoch(train) [128][2720/3757] lr: 1.9909e-03 eta: 22:51:57 time: 0.4246 data_time: 0.0228 memory: 17006 grad_norm: 9.2907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4386 loss: 1.4386 2022/07/29 19:44:55 - mmengine - INFO - Epoch(train) [128][2740/3757] lr: 1.9909e-03 eta: 22:51:48 time: 0.4118 data_time: 0.0200 memory: 17006 grad_norm: 9.2833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2462 loss: 1.2462 2022/07/29 19:45:04 - mmengine - INFO - Epoch(train) [128][2760/3757] lr: 1.9909e-03 eta: 22:51:44 time: 0.4664 data_time: 0.0240 memory: 17006 grad_norm: 9.4254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3509 loss: 1.3509 2022/07/29 19:45:12 - mmengine - INFO - Epoch(train) [128][2780/3757] lr: 1.9909e-03 eta: 22:51:34 time: 0.4031 data_time: 0.0179 memory: 17006 grad_norm: 9.8321 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6189 loss: 1.6189 2022/07/29 19:45:22 - mmengine - INFO - Epoch(train) [128][2800/3757] lr: 1.9909e-03 eta: 22:51:30 time: 0.4622 data_time: 0.0251 memory: 17006 grad_norm: 10.1219 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6295 loss: 1.6295 2022/07/29 19:45:30 - mmengine - INFO - Epoch(train) [128][2820/3757] lr: 1.9909e-03 eta: 22:51:20 time: 0.4029 data_time: 0.0185 memory: 17006 grad_norm: 9.2788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7053 loss: 1.7053 2022/07/29 19:45:38 - mmengine - INFO - Epoch(train) [128][2840/3757] lr: 1.9909e-03 eta: 22:51:10 time: 0.4070 data_time: 0.0234 memory: 17006 grad_norm: 9.2973 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6106 loss: 1.6106 2022/07/29 19:45:46 - mmengine - INFO - Epoch(train) [128][2860/3757] lr: 1.9909e-03 eta: 22:51:02 time: 0.4233 data_time: 0.0209 memory: 17006 grad_norm: 9.3388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3897 loss: 1.3897 2022/07/29 19:45:47 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:45:54 - mmengine - INFO - Epoch(train) [128][2880/3757] lr: 1.9909e-03 eta: 22:50:53 time: 0.4083 data_time: 0.0213 memory: 17006 grad_norm: 9.3949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1879 loss: 1.1879 2022/07/29 19:46:03 - mmengine - INFO - Epoch(train) [128][2900/3757] lr: 1.9909e-03 eta: 22:50:45 time: 0.4191 data_time: 0.0177 memory: 17006 grad_norm: 9.7222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4714 loss: 1.4714 2022/07/29 19:46:12 - mmengine - INFO - Epoch(train) [128][2920/3757] lr: 1.9909e-03 eta: 22:50:38 time: 0.4371 data_time: 0.0227 memory: 17006 grad_norm: 9.5232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4691 loss: 1.4691 2022/07/29 19:46:20 - mmengine - INFO - Epoch(train) [128][2940/3757] lr: 1.9909e-03 eta: 22:50:28 time: 0.4045 data_time: 0.0201 memory: 17006 grad_norm: 9.8593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7369 loss: 1.7369 2022/07/29 19:46:28 - mmengine - INFO - Epoch(train) [128][2960/3757] lr: 1.9909e-03 eta: 22:50:19 time: 0.4138 data_time: 0.0293 memory: 17006 grad_norm: 9.5797 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5247 loss: 1.5247 2022/07/29 19:46:37 - mmengine - INFO - Epoch(train) [128][2980/3757] lr: 1.9909e-03 eta: 22:50:14 time: 0.4506 data_time: 0.0194 memory: 17006 grad_norm: 10.0864 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4631 loss: 1.4631 2022/07/29 19:46:46 - mmengine - INFO - Epoch(train) [128][3000/3757] lr: 1.9909e-03 eta: 22:50:06 time: 0.4217 data_time: 0.0237 memory: 17006 grad_norm: 10.2001 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4893 loss: 1.4893 2022/07/29 19:46:54 - mmengine - INFO - Epoch(train) [128][3020/3757] lr: 1.9909e-03 eta: 22:49:57 time: 0.4201 data_time: 0.0195 memory: 17006 grad_norm: 9.6939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5412 loss: 1.5412 2022/07/29 19:47:02 - mmengine - INFO - Epoch(train) [128][3040/3757] lr: 1.9909e-03 eta: 22:49:49 time: 0.4164 data_time: 0.0207 memory: 17006 grad_norm: 9.7114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6859 loss: 1.6859 2022/07/29 19:47:11 - mmengine - INFO - Epoch(train) [128][3060/3757] lr: 1.9909e-03 eta: 22:49:40 time: 0.4119 data_time: 0.0187 memory: 17006 grad_norm: 9.3289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5240 loss: 1.5240 2022/07/29 19:47:19 - mmengine - INFO - Epoch(train) [128][3080/3757] lr: 1.9909e-03 eta: 22:49:30 time: 0.4060 data_time: 0.0214 memory: 17006 grad_norm: 9.7292 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6992 loss: 1.6992 2022/07/29 19:47:27 - mmengine - INFO - Epoch(train) [128][3100/3757] lr: 1.9909e-03 eta: 22:49:21 time: 0.4130 data_time: 0.0206 memory: 17006 grad_norm: 9.2907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6224 loss: 1.6224 2022/07/29 19:47:35 - mmengine - INFO - Epoch(train) [128][3120/3757] lr: 1.9909e-03 eta: 22:49:13 time: 0.4171 data_time: 0.0214 memory: 17006 grad_norm: 9.3110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6445 loss: 1.6445 2022/07/29 19:47:44 - mmengine - INFO - Epoch(train) [128][3140/3757] lr: 1.9909e-03 eta: 22:49:04 time: 0.4211 data_time: 0.0200 memory: 17006 grad_norm: 9.6600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4165 loss: 1.4165 2022/07/29 19:47:52 - mmengine - INFO - Epoch(train) [128][3160/3757] lr: 1.9909e-03 eta: 22:48:55 time: 0.4119 data_time: 0.0215 memory: 17006 grad_norm: 10.2134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7422 loss: 1.7422 2022/07/29 19:48:00 - mmengine - INFO - Epoch(train) [128][3180/3757] lr: 1.9909e-03 eta: 22:48:47 time: 0.4201 data_time: 0.0185 memory: 17006 grad_norm: 9.4912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5627 loss: 1.5627 2022/07/29 19:48:09 - mmengine - INFO - Epoch(train) [128][3200/3757] lr: 1.9909e-03 eta: 22:48:37 time: 0.4047 data_time: 0.0208 memory: 17006 grad_norm: 9.4308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4276 loss: 1.4276 2022/07/29 19:48:17 - mmengine - INFO - Epoch(train) [128][3220/3757] lr: 1.9909e-03 eta: 22:48:29 time: 0.4204 data_time: 0.0189 memory: 17006 grad_norm: 9.7968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5037 loss: 1.5037 2022/07/29 19:48:25 - mmengine - INFO - Epoch(train) [128][3240/3757] lr: 1.9909e-03 eta: 22:48:20 time: 0.4142 data_time: 0.0220 memory: 17006 grad_norm: 9.5708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3843 loss: 1.3843 2022/07/29 19:48:34 - mmengine - INFO - Epoch(train) [128][3260/3757] lr: 1.9909e-03 eta: 22:48:11 time: 0.4105 data_time: 0.0179 memory: 17006 grad_norm: 9.5499 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5230 loss: 1.5230 2022/07/29 19:48:42 - mmengine - INFO - Epoch(train) [128][3280/3757] lr: 1.9909e-03 eta: 22:48:02 time: 0.4089 data_time: 0.0236 memory: 17006 grad_norm: 9.6329 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7953 loss: 1.7953 2022/07/29 19:48:50 - mmengine - INFO - Epoch(train) [128][3300/3757] lr: 1.9909e-03 eta: 22:47:52 time: 0.4019 data_time: 0.0185 memory: 17006 grad_norm: 9.6711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4495 loss: 1.4495 2022/07/29 19:48:58 - mmengine - INFO - Epoch(train) [128][3320/3757] lr: 1.9909e-03 eta: 22:47:44 time: 0.4194 data_time: 0.0200 memory: 17006 grad_norm: 9.6392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3807 loss: 1.3807 2022/07/29 19:49:07 - mmengine - INFO - Epoch(train) [128][3340/3757] lr: 1.9909e-03 eta: 22:47:36 time: 0.4294 data_time: 0.0210 memory: 17006 grad_norm: 9.7965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4403 loss: 1.4403 2022/07/29 19:49:16 - mmengine - INFO - Epoch(train) [128][3360/3757] lr: 1.9909e-03 eta: 22:47:30 time: 0.4457 data_time: 0.0205 memory: 17006 grad_norm: 9.7057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7590 loss: 1.7590 2022/07/29 19:49:24 - mmengine - INFO - Epoch(train) [128][3380/3757] lr: 1.9909e-03 eta: 22:47:22 time: 0.4193 data_time: 0.0214 memory: 17006 grad_norm: 9.9410 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3424 loss: 1.3424 2022/07/29 19:49:33 - mmengine - INFO - Epoch(train) [128][3400/3757] lr: 1.9909e-03 eta: 22:47:13 time: 0.4151 data_time: 0.0214 memory: 17006 grad_norm: 9.6476 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4804 loss: 1.4804 2022/07/29 19:49:42 - mmengine - INFO - Epoch(train) [128][3420/3757] lr: 1.9909e-03 eta: 22:47:09 time: 0.4649 data_time: 0.0220 memory: 17006 grad_norm: 9.8808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6489 loss: 1.6489 2022/07/29 19:49:50 - mmengine - INFO - Epoch(train) [128][3440/3757] lr: 1.9909e-03 eta: 22:46:59 time: 0.4041 data_time: 0.0205 memory: 17006 grad_norm: 9.7206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4008 loss: 1.4008 2022/07/29 19:49:58 - mmengine - INFO - Epoch(train) [128][3460/3757] lr: 1.9909e-03 eta: 22:46:49 time: 0.4032 data_time: 0.0192 memory: 17006 grad_norm: 9.5099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4325 loss: 1.4325 2022/07/29 19:50:07 - mmengine - INFO - Epoch(train) [128][3480/3757] lr: 1.9909e-03 eta: 22:46:43 time: 0.4476 data_time: 0.0236 memory: 17006 grad_norm: 9.5187 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3018 loss: 1.3018 2022/07/29 19:50:15 - mmengine - INFO - Epoch(train) [128][3500/3757] lr: 1.9909e-03 eta: 22:46:33 time: 0.4032 data_time: 0.0200 memory: 17006 grad_norm: 10.0346 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7570 loss: 1.7570 2022/07/29 19:50:24 - mmengine - INFO - Epoch(train) [128][3520/3757] lr: 1.9909e-03 eta: 22:46:29 time: 0.4599 data_time: 0.0248 memory: 17006 grad_norm: 9.4230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4146 loss: 1.4146 2022/07/29 19:50:32 - mmengine - INFO - Epoch(train) [128][3540/3757] lr: 1.9909e-03 eta: 22:46:19 time: 0.4039 data_time: 0.0187 memory: 17006 grad_norm: 9.6001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7357 loss: 1.7357 2022/07/29 19:50:42 - mmengine - INFO - Epoch(train) [128][3560/3757] lr: 1.9909e-03 eta: 22:46:14 time: 0.4575 data_time: 0.0212 memory: 17006 grad_norm: 9.2936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3102 loss: 1.3102 2022/07/29 19:50:50 - mmengine - INFO - Epoch(train) [128][3580/3757] lr: 1.9909e-03 eta: 22:46:04 time: 0.4038 data_time: 0.0193 memory: 17006 grad_norm: 9.6726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5662 loss: 1.5662 2022/07/29 19:50:58 - mmengine - INFO - Epoch(train) [128][3600/3757] lr: 1.9909e-03 eta: 22:45:54 time: 0.4039 data_time: 0.0203 memory: 17006 grad_norm: 9.4546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6091 loss: 1.6091 2022/07/29 19:51:06 - mmengine - INFO - Epoch(train) [128][3620/3757] lr: 1.9909e-03 eta: 22:45:47 time: 0.4297 data_time: 0.0188 memory: 17006 grad_norm: 9.8749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5478 loss: 1.5478 2022/07/29 19:51:15 - mmengine - INFO - Epoch(train) [128][3640/3757] lr: 1.9909e-03 eta: 22:45:38 time: 0.4076 data_time: 0.0225 memory: 17006 grad_norm: 9.7073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4653 loss: 1.4653 2022/07/29 19:51:23 - mmengine - INFO - Epoch(train) [128][3660/3757] lr: 1.9909e-03 eta: 22:45:31 time: 0.4356 data_time: 0.0274 memory: 17006 grad_norm: 9.7334 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3927 loss: 1.3927 2022/07/29 19:51:31 - mmengine - INFO - Epoch(train) [128][3680/3757] lr: 1.9909e-03 eta: 22:45:21 time: 0.4040 data_time: 0.0212 memory: 17006 grad_norm: 9.1763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5809 loss: 1.5809 2022/07/29 19:51:39 - mmengine - INFO - Epoch(train) [128][3700/3757] lr: 1.9909e-03 eta: 22:45:11 time: 0.4020 data_time: 0.0174 memory: 17006 grad_norm: 9.5371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4814 loss: 1.4814 2022/07/29 19:51:48 - mmengine - INFO - Epoch(train) [128][3720/3757] lr: 1.9909e-03 eta: 22:45:04 time: 0.4348 data_time: 0.0236 memory: 17006 grad_norm: 9.6805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7648 loss: 1.7648 2022/07/29 19:51:56 - mmengine - INFO - Epoch(train) [128][3740/3757] lr: 1.9909e-03 eta: 22:44:54 time: 0.4035 data_time: 0.0181 memory: 17006 grad_norm: 9.6640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6668 loss: 1.6668 2022/07/29 19:52:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:52:03 - mmengine - INFO - Epoch(train) [128][3757/3757] lr: 1.9909e-03 eta: 22:44:54 time: 0.4061 data_time: 0.0189 memory: 17006 grad_norm: 9.7285 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.4273 loss: 1.4273 2022/07/29 19:52:03 - mmengine - INFO - Saving checkpoint at 128 epochs 2022/07/29 19:52:17 - mmengine - INFO - Epoch(train) [129][20/3757] lr: 1.9217e-03 eta: 22:44:11 time: 0.4558 data_time: 0.0711 memory: 17006 grad_norm: 9.4517 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6518 loss: 1.6518 2022/07/29 19:52:26 - mmengine - INFO - Epoch(train) [129][40/3757] lr: 1.9217e-03 eta: 22:44:08 time: 0.4828 data_time: 0.0213 memory: 17006 grad_norm: 9.6647 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5674 loss: 1.5674 2022/07/29 19:52:34 - mmengine - INFO - Epoch(train) [129][60/3757] lr: 1.9217e-03 eta: 22:43:59 time: 0.4048 data_time: 0.0211 memory: 17006 grad_norm: 9.7628 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7792 loss: 1.7792 2022/07/29 19:52:44 - mmengine - INFO - Epoch(train) [129][80/3757] lr: 1.9217e-03 eta: 22:43:56 time: 0.4876 data_time: 0.0230 memory: 17006 grad_norm: 9.2778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5446 loss: 1.5446 2022/07/29 19:52:52 - mmengine - INFO - Epoch(train) [129][100/3757] lr: 1.9217e-03 eta: 22:43:47 time: 0.4057 data_time: 0.0210 memory: 17006 grad_norm: 9.1796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4221 loss: 1.4221 2022/07/29 19:52:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 19:53:01 - mmengine - INFO - Epoch(train) [129][120/3757] lr: 1.9217e-03 eta: 22:43:38 time: 0.4121 data_time: 0.0203 memory: 17006 grad_norm: 9.8091 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6135 loss: 1.6135 2022/07/29 19:53:09 - mmengine - INFO - Epoch(train) [129][140/3757] lr: 1.9217e-03 eta: 22:43:29 time: 0.4145 data_time: 0.0209 memory: 17006 grad_norm: 10.3737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6338 loss: 1.6338 2022/07/29 19:53:18 - mmengine - INFO - Epoch(train) [129][160/3757] lr: 1.9217e-03 eta: 22:43:21 time: 0.4302 data_time: 0.0200 memory: 17006 grad_norm: 9.2587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3736 loss: 1.3736 2022/07/29 19:53:26 - mmengine - INFO - Epoch(train) [129][180/3757] lr: 1.9217e-03 eta: 22:43:13 time: 0.4142 data_time: 0.0193 memory: 17006 grad_norm: 9.2875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5991 loss: 1.5991 2022/07/29 19:53:34 - mmengine - INFO - Epoch(train) [129][200/3757] lr: 1.9217e-03 eta: 22:43:03 time: 0.4038 data_time: 0.0203 memory: 17006 grad_norm: 9.4155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5852 loss: 1.5852 2022/07/29 19:53:42 - mmengine - INFO - Epoch(train) [129][220/3757] lr: 1.9217e-03 eta: 22:42:55 time: 0.4231 data_time: 0.0217 memory: 17006 grad_norm: 9.3502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4015 loss: 1.4015 2022/07/29 19:53:51 - mmengine - INFO - Epoch(train) [129][240/3757] lr: 1.9217e-03 eta: 22:42:45 time: 0.4036 data_time: 0.0194 memory: 17006 grad_norm: 9.1711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3147 loss: 1.3147 2022/07/29 19:53:59 - mmengine - INFO - Epoch(train) [129][260/3757] lr: 1.9217e-03 eta: 22:42:36 time: 0.4060 data_time: 0.0212 memory: 17006 grad_norm: 9.2468 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6327 loss: 1.6327 2022/07/29 19:54:07 - mmengine - INFO - Epoch(train) [129][280/3757] lr: 1.9217e-03 eta: 22:42:28 time: 0.4269 data_time: 0.0199 memory: 17006 grad_norm: 9.5484 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2715 loss: 1.2715 2022/07/29 19:54:15 - mmengine - INFO - Epoch(train) [129][300/3757] lr: 1.9217e-03 eta: 22:42:18 time: 0.4049 data_time: 0.0211 memory: 17006 grad_norm: 9.7932 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6878 loss: 1.6878 2022/07/29 19:54:25 - mmengine - INFO - Epoch(train) [129][320/3757] lr: 1.9217e-03 eta: 22:42:13 time: 0.4573 data_time: 0.0223 memory: 17006 grad_norm: 9.6206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6138 loss: 1.6138 2022/07/29 19:54:33 - mmengine - INFO - Epoch(train) [129][340/3757] lr: 1.9217e-03 eta: 22:42:04 time: 0.4040 data_time: 0.0198 memory: 17006 grad_norm: 9.5428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7277 loss: 1.7277 2022/07/29 19:54:41 - mmengine - INFO - Epoch(train) [129][360/3757] lr: 1.9217e-03 eta: 22:41:54 time: 0.4096 data_time: 0.0200 memory: 17006 grad_norm: 8.9992 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5739 loss: 1.5739 2022/07/29 19:54:49 - mmengine - INFO - Epoch(train) [129][380/3757] lr: 1.9217e-03 eta: 22:41:47 time: 0.4271 data_time: 0.0199 memory: 17006 grad_norm: 9.6983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2655 loss: 1.2655 2022/07/29 19:54:57 - mmengine - INFO - Epoch(train) [129][400/3757] lr: 1.9217e-03 eta: 22:41:37 time: 0.4028 data_time: 0.0186 memory: 17006 grad_norm: 9.2842 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3887 loss: 1.3887 2022/07/29 19:55:07 - mmengine - INFO - Epoch(train) [129][420/3757] lr: 1.9217e-03 eta: 22:41:32 time: 0.4571 data_time: 0.0228 memory: 17006 grad_norm: 9.3810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5991 loss: 1.5991 2022/07/29 19:55:15 - mmengine - INFO - Epoch(train) [129][440/3757] lr: 1.9217e-03 eta: 22:41:22 time: 0.4055 data_time: 0.0209 memory: 17006 grad_norm: 9.9328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5167 loss: 1.5167 2022/07/29 19:55:24 - mmengine - INFO - Epoch(train) [129][460/3757] lr: 1.9217e-03 eta: 22:41:19 time: 0.4777 data_time: 0.0214 memory: 17006 grad_norm: 9.4122 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3567 loss: 1.3567 2022/07/29 19:55:32 - mmengine - INFO - Epoch(train) [129][480/3757] lr: 1.9217e-03 eta: 22:41:09 time: 0.4034 data_time: 0.0206 memory: 17006 grad_norm: 9.4418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/07/29 19:55:41 - mmengine - INFO - Epoch(train) [129][500/3757] lr: 1.9217e-03 eta: 22:41:00 time: 0.4036 data_time: 0.0196 memory: 17006 grad_norm: 9.5468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4696 loss: 1.4696 2022/07/29 19:55:49 - mmengine - INFO - Epoch(train) [129][520/3757] lr: 1.9217e-03 eta: 22:40:53 time: 0.4441 data_time: 0.0222 memory: 17006 grad_norm: 9.6381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4866 loss: 1.4866 2022/07/29 19:55:58 - mmengine - INFO - Epoch(train) [129][540/3757] lr: 1.9217e-03 eta: 22:40:44 time: 0.4075 data_time: 0.0219 memory: 17006 grad_norm: 9.3673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5854 loss: 1.5854 2022/07/29 19:56:07 - mmengine - INFO - Epoch(train) [129][560/3757] lr: 1.9217e-03 eta: 22:40:39 time: 0.4562 data_time: 0.0239 memory: 17006 grad_norm: 9.7578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4448 loss: 1.4448 2022/07/29 19:56:15 - mmengine - INFO - Epoch(train) [129][580/3757] lr: 1.9217e-03 eta: 22:40:29 time: 0.4047 data_time: 0.0209 memory: 17006 grad_norm: 9.4906 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6178 loss: 1.6178 2022/07/29 19:56:23 - mmengine - INFO - Epoch(train) [129][600/3757] lr: 1.9217e-03 eta: 22:40:20 time: 0.4158 data_time: 0.0208 memory: 17006 grad_norm: 9.4083 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5693 loss: 1.5693 2022/07/29 19:56:31 - mmengine - INFO - Epoch(train) [129][620/3757] lr: 1.9217e-03 eta: 22:40:11 time: 0.4054 data_time: 0.0196 memory: 17006 grad_norm: 9.0312 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3851 loss: 1.3851 2022/07/29 19:56:39 - mmengine - INFO - Epoch(train) [129][640/3757] lr: 1.9217e-03 eta: 22:40:01 time: 0.4035 data_time: 0.0209 memory: 17006 grad_norm: 9.5895 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5493 loss: 1.5493 2022/07/29 19:56:48 - mmengine - INFO - Epoch(train) [129][660/3757] lr: 1.9217e-03 eta: 22:39:52 time: 0.4150 data_time: 0.0225 memory: 17006 grad_norm: 10.2299 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7316 loss: 1.7316 2022/07/29 19:56:56 - mmengine - INFO - Epoch(train) [129][680/3757] lr: 1.9217e-03 eta: 22:39:43 time: 0.4029 data_time: 0.0197 memory: 17006 grad_norm: 9.5556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4502 loss: 1.4502 2022/07/29 19:57:04 - mmengine - INFO - Epoch(train) [129][700/3757] lr: 1.9217e-03 eta: 22:39:35 time: 0.4229 data_time: 0.0221 memory: 17006 grad_norm: 9.3846 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7262 loss: 1.7262 2022/07/29 19:57:12 - mmengine - INFO - Epoch(train) [129][720/3757] lr: 1.9217e-03 eta: 22:39:25 time: 0.4043 data_time: 0.0208 memory: 17006 grad_norm: 9.4686 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3971 loss: 1.3971 2022/07/29 19:57:21 - mmengine - INFO - Epoch(train) [129][740/3757] lr: 1.9217e-03 eta: 22:39:15 time: 0.4042 data_time: 0.0199 memory: 17006 grad_norm: 9.5058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4432 loss: 1.4432 2022/07/29 19:57:30 - mmengine - INFO - Epoch(train) [129][760/3757] lr: 1.9217e-03 eta: 22:39:09 time: 0.4485 data_time: 0.0196 memory: 17006 grad_norm: 9.4578 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4627 loss: 1.4627 2022/07/29 19:57:38 - mmengine - INFO - Epoch(train) [129][780/3757] lr: 1.9217e-03 eta: 22:39:00 time: 0.4040 data_time: 0.0204 memory: 17006 grad_norm: 9.5153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2889 loss: 1.2889 2022/07/29 19:57:47 - mmengine - INFO - Epoch(train) [129][800/3757] lr: 1.9217e-03 eta: 22:38:54 time: 0.4480 data_time: 0.0233 memory: 17006 grad_norm: 9.3606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4986 loss: 1.4986 2022/07/29 19:57:55 - mmengine - INFO - Epoch(train) [129][820/3757] lr: 1.9217e-03 eta: 22:38:44 time: 0.4056 data_time: 0.0213 memory: 17006 grad_norm: 9.5639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/07/29 19:58:03 - mmengine - INFO - Epoch(train) [129][840/3757] lr: 1.9217e-03 eta: 22:38:37 time: 0.4295 data_time: 0.0220 memory: 17006 grad_norm: 9.5949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4305 loss: 1.4305 2022/07/29 19:58:12 - mmengine - INFO - Epoch(train) [129][860/3757] lr: 1.9217e-03 eta: 22:38:28 time: 0.4100 data_time: 0.0213 memory: 17006 grad_norm: 9.8760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7373 loss: 1.7373 2022/07/29 19:58:20 - mmengine - INFO - Epoch(train) [129][880/3757] lr: 1.9217e-03 eta: 22:38:18 time: 0.4036 data_time: 0.0202 memory: 17006 grad_norm: 9.9239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7701 loss: 1.7701 2022/07/29 19:58:28 - mmengine - INFO - Epoch(train) [129][900/3757] lr: 1.9217e-03 eta: 22:38:10 time: 0.4186 data_time: 0.0228 memory: 17006 grad_norm: 9.8629 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6845 loss: 1.6845 2022/07/29 19:58:36 - mmengine - INFO - Epoch(train) [129][920/3757] lr: 1.9217e-03 eta: 22:38:00 time: 0.4094 data_time: 0.0193 memory: 17006 grad_norm: 9.7680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5214 loss: 1.5214 2022/07/29 19:58:45 - mmengine - INFO - Epoch(train) [129][940/3757] lr: 1.9217e-03 eta: 22:37:52 time: 0.4193 data_time: 0.0219 memory: 17006 grad_norm: 9.5250 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5196 loss: 1.5196 2022/07/29 19:58:53 - mmengine - INFO - Epoch(train) [129][960/3757] lr: 1.9217e-03 eta: 22:37:43 time: 0.4125 data_time: 0.0202 memory: 17006 grad_norm: 9.6925 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6244 loss: 1.6244 2022/07/29 19:59:01 - mmengine - INFO - Epoch(train) [129][980/3757] lr: 1.9217e-03 eta: 22:37:34 time: 0.4124 data_time: 0.0198 memory: 17006 grad_norm: 9.8278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6897 loss: 1.6897 2022/07/29 19:59:10 - mmengine - INFO - Epoch(train) [129][1000/3757] lr: 1.9217e-03 eta: 22:37:26 time: 0.4160 data_time: 0.0205 memory: 17006 grad_norm: 9.2976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5172 loss: 1.5172 2022/07/29 19:59:18 - mmengine - INFO - Epoch(train) [129][1020/3757] lr: 1.9217e-03 eta: 22:37:16 time: 0.4085 data_time: 0.0198 memory: 17006 grad_norm: 10.0014 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7417 loss: 1.7417 2022/07/29 19:59:27 - mmengine - INFO - Epoch(train) [129][1040/3757] lr: 1.9217e-03 eta: 22:37:09 time: 0.4378 data_time: 0.0225 memory: 17006 grad_norm: 9.7135 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6309 loss: 1.6309 2022/07/29 19:59:35 - mmengine - INFO - Epoch(train) [129][1060/3757] lr: 1.9217e-03 eta: 22:37:02 time: 0.4276 data_time: 0.0208 memory: 17006 grad_norm: 9.5601 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6609 loss: 1.6609 2022/07/29 19:59:44 - mmengine - INFO - Epoch(train) [129][1080/3757] lr: 1.9217e-03 eta: 22:36:54 time: 0.4238 data_time: 0.0216 memory: 17006 grad_norm: 10.1282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5828 loss: 1.5828 2022/07/29 19:59:52 - mmengine - INFO - Epoch(train) [129][1100/3757] lr: 1.9217e-03 eta: 22:36:44 time: 0.4047 data_time: 0.0208 memory: 17006 grad_norm: 9.5886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4142 loss: 1.4142 2022/07/29 19:59:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:00:00 - mmengine - INFO - Epoch(train) [129][1120/3757] lr: 1.9217e-03 eta: 22:36:35 time: 0.4051 data_time: 0.0201 memory: 17006 grad_norm: 9.6440 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.5413 loss: 1.5413 2022/07/29 20:00:08 - mmengine - INFO - Epoch(train) [129][1140/3757] lr: 1.9217e-03 eta: 22:36:26 time: 0.4155 data_time: 0.0217 memory: 17006 grad_norm: 9.4688 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0795 loss: 1.0795 2022/07/29 20:00:16 - mmengine - INFO - Epoch(train) [129][1160/3757] lr: 1.9217e-03 eta: 22:36:16 time: 0.4045 data_time: 0.0200 memory: 17006 grad_norm: 9.4365 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2882 loss: 1.2882 2022/07/29 20:00:25 - mmengine - INFO - Epoch(train) [129][1180/3757] lr: 1.9217e-03 eta: 22:36:08 time: 0.4172 data_time: 0.0231 memory: 17006 grad_norm: 9.5549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6068 loss: 1.6068 2022/07/29 20:00:33 - mmengine - INFO - Epoch(train) [129][1200/3757] lr: 1.9217e-03 eta: 22:35:59 time: 0.4089 data_time: 0.0199 memory: 17006 grad_norm: 9.7064 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5293 loss: 1.5293 2022/07/29 20:00:41 - mmengine - INFO - Epoch(train) [129][1220/3757] lr: 1.9217e-03 eta: 22:35:49 time: 0.4039 data_time: 0.0204 memory: 17006 grad_norm: 9.8397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8674 loss: 1.8674 2022/07/29 20:00:50 - mmengine - INFO - Epoch(train) [129][1240/3757] lr: 1.9217e-03 eta: 22:35:42 time: 0.4333 data_time: 0.0219 memory: 17006 grad_norm: 9.6730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2927 loss: 1.2927 2022/07/29 20:00:58 - mmengine - INFO - Epoch(train) [129][1260/3757] lr: 1.9217e-03 eta: 22:35:32 time: 0.4070 data_time: 0.0210 memory: 17006 grad_norm: 9.8189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6667 loss: 1.6667 2022/07/29 20:01:07 - mmengine - INFO - Epoch(train) [129][1280/3757] lr: 1.9217e-03 eta: 22:35:28 time: 0.4619 data_time: 0.0225 memory: 17006 grad_norm: 9.4269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6412 loss: 1.6412 2022/07/29 20:01:15 - mmengine - INFO - Epoch(train) [129][1300/3757] lr: 1.9217e-03 eta: 22:35:18 time: 0.4054 data_time: 0.0211 memory: 17006 grad_norm: 9.4867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3614 loss: 1.3614 2022/07/29 20:01:25 - mmengine - INFO - Epoch(train) [129][1320/3757] lr: 1.9217e-03 eta: 22:35:16 time: 0.4941 data_time: 0.0235 memory: 17006 grad_norm: 9.8240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2799 loss: 1.2799 2022/07/29 20:01:33 - mmengine - INFO - Epoch(train) [129][1340/3757] lr: 1.9217e-03 eta: 22:35:06 time: 0.4049 data_time: 0.0204 memory: 17006 grad_norm: 9.5981 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5225 loss: 1.5225 2022/07/29 20:01:41 - mmengine - INFO - Epoch(train) [129][1360/3757] lr: 1.9217e-03 eta: 22:34:57 time: 0.4085 data_time: 0.0201 memory: 17006 grad_norm: 9.6227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5874 loss: 1.5874 2022/07/29 20:01:50 - mmengine - INFO - Epoch(train) [129][1380/3757] lr: 1.9217e-03 eta: 22:34:50 time: 0.4283 data_time: 0.0203 memory: 17006 grad_norm: 9.6102 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2837 loss: 2.2837 2022/07/29 20:01:58 - mmengine - INFO - Epoch(train) [129][1400/3757] lr: 1.9217e-03 eta: 22:34:40 time: 0.4104 data_time: 0.0207 memory: 17006 grad_norm: 10.0348 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6978 loss: 1.6978 2022/07/29 20:02:07 - mmengine - INFO - Epoch(train) [129][1420/3757] lr: 1.9217e-03 eta: 22:34:32 time: 0.4211 data_time: 0.0199 memory: 17006 grad_norm: 9.5965 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8116 loss: 1.8116 2022/07/29 20:02:15 - mmengine - INFO - Epoch(train) [129][1440/3757] lr: 1.9217e-03 eta: 22:34:23 time: 0.4065 data_time: 0.0213 memory: 17006 grad_norm: 9.3818 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.6093 loss: 1.6093 2022/07/29 20:02:23 - mmengine - INFO - Epoch(train) [129][1460/3757] lr: 1.9217e-03 eta: 22:34:15 time: 0.4243 data_time: 0.0213 memory: 17006 grad_norm: 9.4180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5369 loss: 1.5369 2022/07/29 20:02:31 - mmengine - INFO - Epoch(train) [129][1480/3757] lr: 1.9217e-03 eta: 22:34:05 time: 0.4031 data_time: 0.0201 memory: 17006 grad_norm: 9.5944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5772 loss: 1.5772 2022/07/29 20:02:40 - mmengine - INFO - Epoch(train) [129][1500/3757] lr: 1.9217e-03 eta: 22:33:55 time: 0.4015 data_time: 0.0200 memory: 17006 grad_norm: 9.2880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4843 loss: 1.4843 2022/07/29 20:02:49 - mmengine - INFO - Epoch(train) [129][1520/3757] lr: 1.9217e-03 eta: 22:33:53 time: 0.4888 data_time: 0.0210 memory: 17006 grad_norm: 9.5226 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5055 loss: 1.5055 2022/07/29 20:02:57 - mmengine - INFO - Epoch(train) [129][1540/3757] lr: 1.9217e-03 eta: 22:33:43 time: 0.4052 data_time: 0.0208 memory: 17006 grad_norm: 9.8078 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7582 loss: 1.7582 2022/07/29 20:03:06 - mmengine - INFO - Epoch(train) [129][1560/3757] lr: 1.9217e-03 eta: 22:33:37 time: 0.4401 data_time: 0.0208 memory: 17006 grad_norm: 9.9091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5884 loss: 1.5884 2022/07/29 20:03:14 - mmengine - INFO - Epoch(train) [129][1580/3757] lr: 1.9217e-03 eta: 22:33:27 time: 0.4072 data_time: 0.0211 memory: 17006 grad_norm: 9.5733 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6885 loss: 1.6885 2022/07/29 20:03:24 - mmengine - INFO - Epoch(train) [129][1600/3757] lr: 1.9217e-03 eta: 22:33:23 time: 0.4724 data_time: 0.0206 memory: 17006 grad_norm: 9.6431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5798 loss: 1.5798 2022/07/29 20:03:32 - mmengine - INFO - Epoch(train) [129][1620/3757] lr: 1.9217e-03 eta: 22:33:14 time: 0.4037 data_time: 0.0199 memory: 17006 grad_norm: 9.3747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6599 loss: 1.6599 2022/07/29 20:03:40 - mmengine - INFO - Epoch(train) [129][1640/3757] lr: 1.9217e-03 eta: 22:33:04 time: 0.4033 data_time: 0.0212 memory: 17006 grad_norm: 9.6170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5721 loss: 1.5721 2022/07/29 20:03:48 - mmengine - INFO - Epoch(train) [129][1660/3757] lr: 1.9217e-03 eta: 22:32:55 time: 0.4127 data_time: 0.0227 memory: 17006 grad_norm: 9.4167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4080 loss: 1.4080 2022/07/29 20:03:56 - mmengine - INFO - Epoch(train) [129][1680/3757] lr: 1.9217e-03 eta: 22:32:45 time: 0.4048 data_time: 0.0205 memory: 17006 grad_norm: 9.8608 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7975 loss: 1.7975 2022/07/29 20:04:05 - mmengine - INFO - Epoch(train) [129][1700/3757] lr: 1.9217e-03 eta: 22:32:39 time: 0.4430 data_time: 0.0220 memory: 17006 grad_norm: 9.8269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7616 loss: 1.7616 2022/07/29 20:04:13 - mmengine - INFO - Epoch(train) [129][1720/3757] lr: 1.9217e-03 eta: 22:32:29 time: 0.4044 data_time: 0.0206 memory: 17006 grad_norm: 9.4256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5884 loss: 1.5884 2022/07/29 20:04:22 - mmengine - INFO - Epoch(train) [129][1740/3757] lr: 1.9217e-03 eta: 22:32:20 time: 0.4072 data_time: 0.0207 memory: 17006 grad_norm: 9.5244 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4413 loss: 1.4413 2022/07/29 20:04:30 - mmengine - INFO - Epoch(train) [129][1760/3757] lr: 1.9217e-03 eta: 22:32:11 time: 0.4082 data_time: 0.0197 memory: 17006 grad_norm: 9.6891 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3004 loss: 1.3004 2022/07/29 20:04:38 - mmengine - INFO - Epoch(train) [129][1780/3757] lr: 1.9217e-03 eta: 22:32:01 time: 0.4045 data_time: 0.0196 memory: 17006 grad_norm: 9.7616 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6149 loss: 1.6149 2022/07/29 20:04:46 - mmengine - INFO - Epoch(train) [129][1800/3757] lr: 1.9217e-03 eta: 22:31:53 time: 0.4221 data_time: 0.0196 memory: 17006 grad_norm: 9.6496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5066 loss: 1.5066 2022/07/29 20:04:55 - mmengine - INFO - Epoch(train) [129][1820/3757] lr: 1.9217e-03 eta: 22:31:44 time: 0.4126 data_time: 0.0207 memory: 17006 grad_norm: 9.6379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8197 loss: 1.8197 2022/07/29 20:05:03 - mmengine - INFO - Epoch(train) [129][1840/3757] lr: 1.9217e-03 eta: 22:31:35 time: 0.4067 data_time: 0.0219 memory: 17006 grad_norm: 9.7642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6768 loss: 1.6768 2022/07/29 20:05:11 - mmengine - INFO - Epoch(train) [129][1860/3757] lr: 1.9217e-03 eta: 22:31:25 time: 0.4043 data_time: 0.0201 memory: 17006 grad_norm: 9.4205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4776 loss: 1.4776 2022/07/29 20:05:19 - mmengine - INFO - Epoch(train) [129][1880/3757] lr: 1.9217e-03 eta: 22:31:16 time: 0.4090 data_time: 0.0207 memory: 17006 grad_norm: 9.6796 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6637 loss: 1.6637 2022/07/29 20:05:27 - mmengine - INFO - Epoch(train) [129][1900/3757] lr: 1.9217e-03 eta: 22:31:07 time: 0.4075 data_time: 0.0217 memory: 17006 grad_norm: 9.5154 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5053 loss: 1.5053 2022/07/29 20:05:35 - mmengine - INFO - Epoch(train) [129][1920/3757] lr: 1.9217e-03 eta: 22:30:57 time: 0.4050 data_time: 0.0201 memory: 17006 grad_norm: 9.7934 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6006 loss: 1.6006 2022/07/29 20:05:44 - mmengine - INFO - Epoch(train) [129][1940/3757] lr: 1.9217e-03 eta: 22:30:49 time: 0.4177 data_time: 0.0227 memory: 17006 grad_norm: 9.7251 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7133 loss: 1.7133 2022/07/29 20:05:52 - mmengine - INFO - Epoch(train) [129][1960/3757] lr: 1.9217e-03 eta: 22:30:39 time: 0.4047 data_time: 0.0207 memory: 17006 grad_norm: 9.6689 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4609 loss: 1.4609 2022/07/29 20:06:00 - mmengine - INFO - Epoch(train) [129][1980/3757] lr: 1.9217e-03 eta: 22:30:30 time: 0.4062 data_time: 0.0208 memory: 17006 grad_norm: 9.6409 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3881 loss: 1.3881 2022/07/29 20:06:09 - mmengine - INFO - Epoch(train) [129][2000/3757] lr: 1.9217e-03 eta: 22:30:23 time: 0.4392 data_time: 0.0215 memory: 17006 grad_norm: 9.9286 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8663 loss: 1.8663 2022/07/29 20:06:17 - mmengine - INFO - Epoch(train) [129][2020/3757] lr: 1.9217e-03 eta: 22:30:13 time: 0.4045 data_time: 0.0202 memory: 17006 grad_norm: 9.6166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4548 loss: 1.4548 2022/07/29 20:06:26 - mmengine - INFO - Epoch(train) [129][2040/3757] lr: 1.9217e-03 eta: 22:30:05 time: 0.4245 data_time: 0.0225 memory: 17006 grad_norm: 9.8617 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7311 loss: 1.7311 2022/07/29 20:06:34 - mmengine - INFO - Epoch(train) [129][2060/3757] lr: 1.9217e-03 eta: 22:29:56 time: 0.4104 data_time: 0.0214 memory: 17006 grad_norm: 9.6458 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4039 loss: 1.4039 2022/07/29 20:06:42 - mmengine - INFO - Epoch(train) [129][2080/3757] lr: 1.9217e-03 eta: 22:29:47 time: 0.4083 data_time: 0.0204 memory: 17006 grad_norm: 9.3747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7390 loss: 1.7390 2022/07/29 20:06:50 - mmengine - INFO - Epoch(train) [129][2100/3757] lr: 1.9217e-03 eta: 22:29:38 time: 0.4156 data_time: 0.0195 memory: 17006 grad_norm: 9.5376 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4812 loss: 1.4812 2022/07/29 20:06:52 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:06:58 - mmengine - INFO - Epoch(train) [129][2120/3757] lr: 1.9217e-03 eta: 22:29:29 time: 0.4048 data_time: 0.0211 memory: 17006 grad_norm: 9.5812 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3831 loss: 1.3831 2022/07/29 20:07:07 - mmengine - INFO - Epoch(train) [129][2140/3757] lr: 1.9217e-03 eta: 22:29:21 time: 0.4191 data_time: 0.0219 memory: 17006 grad_norm: 9.4970 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5992 loss: 1.5992 2022/07/29 20:07:15 - mmengine - INFO - Epoch(train) [129][2160/3757] lr: 1.9217e-03 eta: 22:29:11 time: 0.4056 data_time: 0.0214 memory: 17006 grad_norm: 9.8828 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4749 loss: 1.4749 2022/07/29 20:07:23 - mmengine - INFO - Epoch(train) [129][2180/3757] lr: 1.9217e-03 eta: 22:29:03 time: 0.4247 data_time: 0.0225 memory: 17006 grad_norm: 9.9235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5542 loss: 1.5542 2022/07/29 20:07:32 - mmengine - INFO - Epoch(train) [129][2200/3757] lr: 1.9217e-03 eta: 22:28:54 time: 0.4050 data_time: 0.0212 memory: 17006 grad_norm: 9.2873 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3974 loss: 1.3974 2022/07/29 20:07:40 - mmengine - INFO - Epoch(train) [129][2220/3757] lr: 1.9217e-03 eta: 22:28:44 time: 0.4070 data_time: 0.0201 memory: 17006 grad_norm: 9.5210 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5498 loss: 1.5498 2022/07/29 20:07:48 - mmengine - INFO - Epoch(train) [129][2240/3757] lr: 1.9217e-03 eta: 22:28:37 time: 0.4337 data_time: 0.0220 memory: 17006 grad_norm: 9.5539 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7174 loss: 1.7174 2022/07/29 20:07:57 - mmengine - INFO - Epoch(train) [129][2260/3757] lr: 1.9217e-03 eta: 22:28:28 time: 0.4076 data_time: 0.0216 memory: 17006 grad_norm: 9.4293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2755 loss: 1.2755 2022/07/29 20:08:05 - mmengine - INFO - Epoch(train) [129][2280/3757] lr: 1.9217e-03 eta: 22:28:21 time: 0.4370 data_time: 0.0230 memory: 17006 grad_norm: 9.5914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4354 loss: 1.4354 2022/07/29 20:08:14 - mmengine - INFO - Epoch(train) [129][2300/3757] lr: 1.9217e-03 eta: 22:28:12 time: 0.4128 data_time: 0.0236 memory: 17006 grad_norm: 9.9399 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4048 loss: 1.4048 2022/07/29 20:08:22 - mmengine - INFO - Epoch(train) [129][2320/3757] lr: 1.9217e-03 eta: 22:28:02 time: 0.4045 data_time: 0.0203 memory: 17006 grad_norm: 10.1324 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4068 loss: 1.4068 2022/07/29 20:08:30 - mmengine - INFO - Epoch(train) [129][2340/3757] lr: 1.9217e-03 eta: 22:27:54 time: 0.4163 data_time: 0.0206 memory: 17006 grad_norm: 10.2098 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7268 loss: 1.7268 2022/07/29 20:08:39 - mmengine - INFO - Epoch(train) [129][2360/3757] lr: 1.9217e-03 eta: 22:27:47 time: 0.4405 data_time: 0.0207 memory: 17006 grad_norm: 9.7525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3563 loss: 1.3563 2022/07/29 20:08:47 - mmengine - INFO - Epoch(train) [129][2380/3757] lr: 1.9217e-03 eta: 22:27:39 time: 0.4178 data_time: 0.0213 memory: 17006 grad_norm: 10.2369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/07/29 20:08:56 - mmengine - INFO - Epoch(train) [129][2400/3757] lr: 1.9217e-03 eta: 22:27:32 time: 0.4366 data_time: 0.0218 memory: 17006 grad_norm: 9.5967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/07/29 20:09:05 - mmengine - INFO - Epoch(train) [129][2420/3757] lr: 1.9217e-03 eta: 22:27:24 time: 0.4238 data_time: 0.0222 memory: 17006 grad_norm: 9.4911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2414 loss: 1.2414 2022/07/29 20:09:13 - mmengine - INFO - Epoch(train) [129][2440/3757] lr: 1.9217e-03 eta: 22:27:14 time: 0.4064 data_time: 0.0215 memory: 17006 grad_norm: 9.4817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6844 loss: 1.6844 2022/07/29 20:09:21 - mmengine - INFO - Epoch(train) [129][2460/3757] lr: 1.9217e-03 eta: 22:27:05 time: 0.4049 data_time: 0.0204 memory: 17006 grad_norm: 9.6708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6476 loss: 1.6476 2022/07/29 20:09:29 - mmengine - INFO - Epoch(train) [129][2480/3757] lr: 1.9217e-03 eta: 22:26:57 time: 0.4259 data_time: 0.0201 memory: 17006 grad_norm: 9.3184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4323 loss: 1.4323 2022/07/29 20:09:38 - mmengine - INFO - Epoch(train) [129][2500/3757] lr: 1.9217e-03 eta: 22:26:48 time: 0.4138 data_time: 0.0206 memory: 17006 grad_norm: 9.6725 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2935 loss: 1.2935 2022/07/29 20:09:47 - mmengine - INFO - Epoch(train) [129][2520/3757] lr: 1.9217e-03 eta: 22:26:44 time: 0.4652 data_time: 0.0234 memory: 17006 grad_norm: 10.2978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5173 loss: 1.5173 2022/07/29 20:09:55 - mmengine - INFO - Epoch(train) [129][2540/3757] lr: 1.9217e-03 eta: 22:26:34 time: 0.4047 data_time: 0.0207 memory: 17006 grad_norm: 9.6848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6406 loss: 1.6406 2022/07/29 20:10:04 - mmengine - INFO - Epoch(train) [129][2560/3757] lr: 1.9217e-03 eta: 22:26:28 time: 0.4458 data_time: 0.0232 memory: 17006 grad_norm: 9.0139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4506 loss: 1.4506 2022/07/29 20:10:12 - mmengine - INFO - Epoch(train) [129][2580/3757] lr: 1.9217e-03 eta: 22:26:18 time: 0.4047 data_time: 0.0205 memory: 17006 grad_norm: 9.3387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3551 loss: 1.3551 2022/07/29 20:10:20 - mmengine - INFO - Epoch(train) [129][2600/3757] lr: 1.9217e-03 eta: 22:26:09 time: 0.4053 data_time: 0.0187 memory: 17006 grad_norm: 9.4956 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6983 loss: 1.6983 2022/07/29 20:10:29 - mmengine - INFO - Epoch(train) [129][2620/3757] lr: 1.9217e-03 eta: 22:26:01 time: 0.4213 data_time: 0.0217 memory: 17006 grad_norm: 9.7976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7868 loss: 1.7868 2022/07/29 20:10:37 - mmengine - INFO - Epoch(train) [129][2640/3757] lr: 1.9217e-03 eta: 22:25:51 time: 0.4072 data_time: 0.0215 memory: 17006 grad_norm: 9.4149 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3732 loss: 1.3732 2022/07/29 20:10:46 - mmengine - INFO - Epoch(train) [129][2660/3757] lr: 1.9217e-03 eta: 22:25:45 time: 0.4478 data_time: 0.0220 memory: 17006 grad_norm: 9.3492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/07/29 20:10:54 - mmengine - INFO - Epoch(train) [129][2680/3757] lr: 1.9217e-03 eta: 22:25:36 time: 0.4074 data_time: 0.0204 memory: 17006 grad_norm: 9.7659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4497 loss: 1.4497 2022/07/29 20:11:02 - mmengine - INFO - Epoch(train) [129][2700/3757] lr: 1.9217e-03 eta: 22:25:27 time: 0.4128 data_time: 0.0211 memory: 17006 grad_norm: 9.9426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8666 loss: 1.8666 2022/07/29 20:11:11 - mmengine - INFO - Epoch(train) [129][2720/3757] lr: 1.9217e-03 eta: 22:25:19 time: 0.4292 data_time: 0.0196 memory: 17006 grad_norm: 9.4082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5237 loss: 1.5237 2022/07/29 20:11:19 - mmengine - INFO - Epoch(train) [129][2740/3757] lr: 1.9217e-03 eta: 22:25:10 time: 0.4086 data_time: 0.0222 memory: 17006 grad_norm: 9.7386 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8041 loss: 1.8041 2022/07/29 20:11:28 - mmengine - INFO - Epoch(train) [129][2760/3757] lr: 1.9217e-03 eta: 22:25:03 time: 0.4278 data_time: 0.0233 memory: 17006 grad_norm: 9.2466 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2613 loss: 1.2613 2022/07/29 20:11:36 - mmengine - INFO - Epoch(train) [129][2780/3757] lr: 1.9217e-03 eta: 22:24:53 time: 0.4073 data_time: 0.0210 memory: 17006 grad_norm: 10.6288 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6968 loss: 1.6968 2022/07/29 20:11:44 - mmengine - INFO - Epoch(train) [129][2800/3757] lr: 1.9217e-03 eta: 22:24:46 time: 0.4272 data_time: 0.0223 memory: 17006 grad_norm: 9.8920 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5863 loss: 1.5863 2022/07/29 20:11:53 - mmengine - INFO - Epoch(train) [129][2820/3757] lr: 1.9217e-03 eta: 22:24:36 time: 0.4073 data_time: 0.0207 memory: 17006 grad_norm: 9.4602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3860 loss: 1.3860 2022/07/29 20:12:01 - mmengine - INFO - Epoch(train) [129][2840/3757] lr: 1.9217e-03 eta: 22:24:27 time: 0.4050 data_time: 0.0193 memory: 17006 grad_norm: 9.9827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6049 loss: 1.6049 2022/07/29 20:12:10 - mmengine - INFO - Epoch(train) [129][2860/3757] lr: 1.9217e-03 eta: 22:24:22 time: 0.4645 data_time: 0.0202 memory: 17006 grad_norm: 9.8750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5807 loss: 1.5807 2022/07/29 20:12:18 - mmengine - INFO - Epoch(train) [129][2880/3757] lr: 1.9217e-03 eta: 22:24:13 time: 0.4097 data_time: 0.0212 memory: 17006 grad_norm: 9.1876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5039 loss: 1.5039 2022/07/29 20:12:28 - mmengine - INFO - Epoch(train) [129][2900/3757] lr: 1.9217e-03 eta: 22:24:09 time: 0.4805 data_time: 0.0233 memory: 17006 grad_norm: 9.0592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4041 loss: 1.4041 2022/07/29 20:12:36 - mmengine - INFO - Epoch(train) [129][2920/3757] lr: 1.9217e-03 eta: 22:24:00 time: 0.4040 data_time: 0.0212 memory: 17006 grad_norm: 9.4727 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3371 loss: 1.3371 2022/07/29 20:12:45 - mmengine - INFO - Epoch(train) [129][2940/3757] lr: 1.9217e-03 eta: 22:23:53 time: 0.4391 data_time: 0.0225 memory: 17006 grad_norm: 9.4074 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5439 loss: 1.5439 2022/07/29 20:12:53 - mmengine - INFO - Epoch(train) [129][2960/3757] lr: 1.9217e-03 eta: 22:23:43 time: 0.4030 data_time: 0.0198 memory: 17006 grad_norm: 9.3991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3920 loss: 1.3920 2022/07/29 20:13:01 - mmengine - INFO - Epoch(train) [129][2980/3757] lr: 1.9217e-03 eta: 22:23:34 time: 0.4051 data_time: 0.0208 memory: 17006 grad_norm: 9.4708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4407 loss: 1.4407 2022/07/29 20:13:10 - mmengine - INFO - Epoch(train) [129][3000/3757] lr: 1.9217e-03 eta: 22:23:27 time: 0.4421 data_time: 0.0229 memory: 17006 grad_norm: 9.9817 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6413 loss: 1.6413 2022/07/29 20:13:18 - mmengine - INFO - Epoch(train) [129][3020/3757] lr: 1.9217e-03 eta: 22:23:18 time: 0.4052 data_time: 0.0201 memory: 17006 grad_norm: 9.3844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6223 loss: 1.6223 2022/07/29 20:13:27 - mmengine - INFO - Epoch(train) [129][3040/3757] lr: 1.9217e-03 eta: 22:23:10 time: 0.4223 data_time: 0.0208 memory: 17006 grad_norm: 9.8067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6123 loss: 1.6123 2022/07/29 20:13:35 - mmengine - INFO - Epoch(train) [129][3060/3757] lr: 1.9217e-03 eta: 22:23:00 time: 0.4065 data_time: 0.0213 memory: 17006 grad_norm: 9.8816 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5677 loss: 1.5677 2022/07/29 20:13:43 - mmengine - INFO - Epoch(train) [129][3080/3757] lr: 1.9217e-03 eta: 22:22:53 time: 0.4265 data_time: 0.0200 memory: 17006 grad_norm: 9.3550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7516 loss: 1.7516 2022/07/29 20:13:51 - mmengine - INFO - Epoch(train) [129][3100/3757] lr: 1.9217e-03 eta: 22:22:43 time: 0.4059 data_time: 0.0206 memory: 17006 grad_norm: 9.5199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4982 loss: 1.4982 2022/07/29 20:13:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:14:00 - mmengine - INFO - Epoch(train) [129][3120/3757] lr: 1.9217e-03 eta: 22:22:36 time: 0.4343 data_time: 0.0196 memory: 17006 grad_norm: 9.4349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/07/29 20:14:08 - mmengine - INFO - Epoch(train) [129][3140/3757] lr: 1.9217e-03 eta: 22:22:27 time: 0.4132 data_time: 0.0220 memory: 17006 grad_norm: 9.8645 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3050 loss: 1.3050 2022/07/29 20:14:17 - mmengine - INFO - Epoch(train) [129][3160/3757] lr: 1.9217e-03 eta: 22:22:20 time: 0.4353 data_time: 0.0223 memory: 17006 grad_norm: 9.8767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3456 loss: 1.3456 2022/07/29 20:14:26 - mmengine - INFO - Epoch(train) [129][3180/3757] lr: 1.9217e-03 eta: 22:22:12 time: 0.4218 data_time: 0.0218 memory: 17006 grad_norm: 10.2907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4284 loss: 1.4284 2022/07/29 20:14:34 - mmengine - INFO - Epoch(train) [129][3200/3757] lr: 1.9217e-03 eta: 22:22:03 time: 0.4086 data_time: 0.0205 memory: 17006 grad_norm: 9.8308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7040 loss: 1.7040 2022/07/29 20:14:42 - mmengine - INFO - Epoch(train) [129][3220/3757] lr: 1.9217e-03 eta: 22:21:53 time: 0.4046 data_time: 0.0204 memory: 17006 grad_norm: 9.7433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6525 loss: 1.6525 2022/07/29 20:14:50 - mmengine - INFO - Epoch(train) [129][3240/3757] lr: 1.9217e-03 eta: 22:21:45 time: 0.4180 data_time: 0.0202 memory: 17006 grad_norm: 9.9675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6858 loss: 1.6858 2022/07/29 20:14:59 - mmengine - INFO - Epoch(train) [129][3260/3757] lr: 1.9217e-03 eta: 22:21:36 time: 0.4174 data_time: 0.0217 memory: 17006 grad_norm: 9.5126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4816 loss: 1.4816 2022/07/29 20:15:07 - mmengine - INFO - Epoch(train) [129][3280/3757] lr: 1.9217e-03 eta: 22:21:29 time: 0.4333 data_time: 0.0215 memory: 17006 grad_norm: 9.2539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8220 loss: 1.8220 2022/07/29 20:15:15 - mmengine - INFO - Epoch(train) [129][3300/3757] lr: 1.9217e-03 eta: 22:21:20 time: 0.4058 data_time: 0.0217 memory: 17006 grad_norm: 9.4162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7335 loss: 1.7335 2022/07/29 20:15:24 - mmengine - INFO - Epoch(train) [129][3320/3757] lr: 1.9217e-03 eta: 22:21:10 time: 0.4096 data_time: 0.0224 memory: 17006 grad_norm: 10.0552 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6621 loss: 1.6621 2022/07/29 20:15:32 - mmengine - INFO - Epoch(train) [129][3340/3757] lr: 1.9217e-03 eta: 22:21:01 time: 0.4054 data_time: 0.0207 memory: 17006 grad_norm: 9.6257 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4238 loss: 1.4238 2022/07/29 20:15:40 - mmengine - INFO - Epoch(train) [129][3360/3757] lr: 1.9217e-03 eta: 22:20:53 time: 0.4268 data_time: 0.0221 memory: 17006 grad_norm: 9.3036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3298 loss: 1.3298 2022/07/29 20:15:49 - mmengine - INFO - Epoch(train) [129][3380/3757] lr: 1.9217e-03 eta: 22:20:44 time: 0.4085 data_time: 0.0215 memory: 17006 grad_norm: 9.3633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4624 loss: 1.4624 2022/07/29 20:15:57 - mmengine - INFO - Epoch(train) [129][3400/3757] lr: 1.9217e-03 eta: 22:20:35 time: 0.4139 data_time: 0.0211 memory: 17006 grad_norm: 9.7541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0992 loss: 1.0992 2022/07/29 20:16:05 - mmengine - INFO - Epoch(train) [129][3420/3757] lr: 1.9217e-03 eta: 22:20:27 time: 0.4204 data_time: 0.0212 memory: 17006 grad_norm: 9.9318 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5384 loss: 1.5384 2022/07/29 20:16:13 - mmengine - INFO - Epoch(train) [129][3440/3757] lr: 1.9217e-03 eta: 22:20:18 time: 0.4099 data_time: 0.0214 memory: 17006 grad_norm: 9.7448 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4915 loss: 1.4915 2022/07/29 20:16:22 - mmengine - INFO - Epoch(train) [129][3460/3757] lr: 1.9217e-03 eta: 22:20:08 time: 0.4054 data_time: 0.0205 memory: 17006 grad_norm: 9.9933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4485 loss: 1.4485 2022/07/29 20:16:30 - mmengine - INFO - Epoch(train) [129][3480/3757] lr: 1.9217e-03 eta: 22:19:59 time: 0.4128 data_time: 0.0222 memory: 17006 grad_norm: 9.5638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5366 loss: 1.5366 2022/07/29 20:16:38 - mmengine - INFO - Epoch(train) [129][3500/3757] lr: 1.9217e-03 eta: 22:19:51 time: 0.4149 data_time: 0.0210 memory: 17006 grad_norm: 9.9427 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7205 loss: 1.7205 2022/07/29 20:16:46 - mmengine - INFO - Epoch(train) [129][3520/3757] lr: 1.9217e-03 eta: 22:19:41 time: 0.4061 data_time: 0.0213 memory: 17006 grad_norm: 9.9939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6771 loss: 1.6771 2022/07/29 20:16:55 - mmengine - INFO - Epoch(train) [129][3540/3757] lr: 1.9217e-03 eta: 22:19:33 time: 0.4238 data_time: 0.0213 memory: 17006 grad_norm: 9.5066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6542 loss: 1.6542 2022/07/29 20:17:03 - mmengine - INFO - Epoch(train) [129][3560/3757] lr: 1.9217e-03 eta: 22:19:24 time: 0.4062 data_time: 0.0200 memory: 17006 grad_norm: 9.8200 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7084 loss: 1.7084 2022/07/29 20:17:11 - mmengine - INFO - Epoch(train) [129][3580/3757] lr: 1.9217e-03 eta: 22:19:15 time: 0.4058 data_time: 0.0188 memory: 17006 grad_norm: 9.7090 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7431 loss: 1.7431 2022/07/29 20:17:20 - mmengine - INFO - Epoch(train) [129][3600/3757] lr: 1.9217e-03 eta: 22:19:07 time: 0.4256 data_time: 0.0215 memory: 17006 grad_norm: 9.5313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5933 loss: 1.5933 2022/07/29 20:17:28 - mmengine - INFO - Epoch(train) [129][3620/3757] lr: 1.9217e-03 eta: 22:18:57 time: 0.4074 data_time: 0.0213 memory: 17006 grad_norm: 9.6783 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6917 loss: 1.6917 2022/07/29 20:17:36 - mmengine - INFO - Epoch(train) [129][3640/3757] lr: 1.9217e-03 eta: 22:18:48 time: 0.4044 data_time: 0.0209 memory: 17006 grad_norm: 9.8103 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5197 loss: 1.5197 2022/07/29 20:17:45 - mmengine - INFO - Epoch(train) [129][3660/3757] lr: 1.9217e-03 eta: 22:18:43 time: 0.4632 data_time: 0.0255 memory: 17006 grad_norm: 9.5796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/07/29 20:17:53 - mmengine - INFO - Epoch(train) [129][3680/3757] lr: 1.9217e-03 eta: 22:18:33 time: 0.4051 data_time: 0.0206 memory: 17006 grad_norm: 9.6415 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6024 loss: 1.6024 2022/07/29 20:18:01 - mmengine - INFO - Epoch(train) [129][3700/3757] lr: 1.9217e-03 eta: 22:18:24 time: 0.4035 data_time: 0.0205 memory: 17006 grad_norm: 9.6338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3912 loss: 1.3912 2022/07/29 20:18:11 - mmengine - INFO - Epoch(train) [129][3720/3757] lr: 1.9217e-03 eta: 22:18:19 time: 0.4675 data_time: 0.0198 memory: 17006 grad_norm: 9.4806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7846 loss: 1.7846 2022/07/29 20:18:19 - mmengine - INFO - Epoch(train) [129][3740/3757] lr: 1.9217e-03 eta: 22:18:10 time: 0.4062 data_time: 0.0206 memory: 17006 grad_norm: 9.2044 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7408 loss: 1.7408 2022/07/29 20:18:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:18:26 - mmengine - INFO - Epoch(train) [129][3757/3757] lr: 1.9217e-03 eta: 22:18:10 time: 0.4274 data_time: 0.0224 memory: 17006 grad_norm: 9.3603 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.7851 loss: 1.7851 2022/07/29 20:18:26 - mmengine - INFO - Saving checkpoint at 129 epochs 2022/07/29 20:18:39 - mmengine - INFO - Epoch(train) [130][20/3757] lr: 1.8534e-03 eta: 22:17:31 time: 0.4823 data_time: 0.0977 memory: 17006 grad_norm: 9.3660 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4132 loss: 1.4132 2022/07/29 20:18:48 - mmengine - INFO - Epoch(train) [130][40/3757] lr: 1.8534e-03 eta: 22:17:26 time: 0.4556 data_time: 0.0231 memory: 17006 grad_norm: 9.8199 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6752 loss: 1.6752 2022/07/29 20:18:56 - mmengine - INFO - Epoch(train) [130][60/3757] lr: 1.8534e-03 eta: 22:17:17 time: 0.4054 data_time: 0.0195 memory: 17006 grad_norm: 9.1247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6320 loss: 1.6320 2022/07/29 20:19:04 - mmengine - INFO - Epoch(train) [130][80/3757] lr: 1.8534e-03 eta: 22:17:08 time: 0.4209 data_time: 0.0228 memory: 17006 grad_norm: 9.5244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5034 loss: 1.5034 2022/07/29 20:19:13 - mmengine - INFO - Epoch(train) [130][100/3757] lr: 1.8534e-03 eta: 22:16:59 time: 0.4028 data_time: 0.0186 memory: 17006 grad_norm: 9.5851 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5455 loss: 1.5455 2022/07/29 20:19:21 - mmengine - INFO - Epoch(train) [130][120/3757] lr: 1.8534e-03 eta: 22:16:49 time: 0.4057 data_time: 0.0209 memory: 17006 grad_norm: 9.1040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5167 loss: 1.5167 2022/07/29 20:19:29 - mmengine - INFO - Epoch(train) [130][140/3757] lr: 1.8534e-03 eta: 22:16:41 time: 0.4195 data_time: 0.0226 memory: 17006 grad_norm: 9.6376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5211 loss: 1.5211 2022/07/29 20:19:37 - mmengine - INFO - Epoch(train) [130][160/3757] lr: 1.8534e-03 eta: 22:16:32 time: 0.4059 data_time: 0.0208 memory: 17006 grad_norm: 9.4949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3822 loss: 1.3822 2022/07/29 20:19:46 - mmengine - INFO - Epoch(train) [130][180/3757] lr: 1.8534e-03 eta: 22:16:24 time: 0.4338 data_time: 0.0213 memory: 17006 grad_norm: 9.5605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4711 loss: 1.4711 2022/07/29 20:19:54 - mmengine - INFO - Epoch(train) [130][200/3757] lr: 1.8534e-03 eta: 22:16:15 time: 0.4096 data_time: 0.0208 memory: 17006 grad_norm: 9.8893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6036 loss: 1.6036 2022/07/29 20:20:02 - mmengine - INFO - Epoch(train) [130][220/3757] lr: 1.8534e-03 eta: 22:16:06 time: 0.4046 data_time: 0.0202 memory: 17006 grad_norm: 9.1933 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3442 loss: 1.3442 2022/07/29 20:20:11 - mmengine - INFO - Epoch(train) [130][240/3757] lr: 1.8534e-03 eta: 22:15:58 time: 0.4224 data_time: 0.0226 memory: 17006 grad_norm: 9.5762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4503 loss: 1.4503 2022/07/29 20:20:19 - mmengine - INFO - Epoch(train) [130][260/3757] lr: 1.8534e-03 eta: 22:15:50 time: 0.4286 data_time: 0.0203 memory: 17006 grad_norm: 9.8386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4918 loss: 1.4918 2022/07/29 20:20:28 - mmengine - INFO - Epoch(train) [130][280/3757] lr: 1.8534e-03 eta: 22:15:42 time: 0.4185 data_time: 0.0206 memory: 17006 grad_norm: 9.4617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2297 loss: 1.2297 2022/07/29 20:20:36 - mmengine - INFO - Epoch(train) [130][300/3757] lr: 1.8534e-03 eta: 22:15:33 time: 0.4098 data_time: 0.0206 memory: 17006 grad_norm: 9.6590 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5370 loss: 1.5370 2022/07/29 20:20:44 - mmengine - INFO - Epoch(train) [130][320/3757] lr: 1.8534e-03 eta: 22:15:24 time: 0.4153 data_time: 0.0233 memory: 17006 grad_norm: 9.5036 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7501 loss: 1.7501 2022/07/29 20:20:52 - mmengine - INFO - Epoch(train) [130][340/3757] lr: 1.8534e-03 eta: 22:15:14 time: 0.4035 data_time: 0.0195 memory: 17006 grad_norm: 9.9158 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4983 loss: 1.4983 2022/07/29 20:20:55 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:21:01 - mmengine - INFO - Epoch(train) [130][360/3757] lr: 1.8534e-03 eta: 22:15:06 time: 0.4150 data_time: 0.0209 memory: 17006 grad_norm: 9.8269 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2976 loss: 1.2976 2022/07/29 20:21:09 - mmengine - INFO - Epoch(train) [130][380/3757] lr: 1.8534e-03 eta: 22:14:58 time: 0.4231 data_time: 0.0193 memory: 17006 grad_norm: 9.6711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5079 loss: 1.5079 2022/07/29 20:21:18 - mmengine - INFO - Epoch(train) [130][400/3757] lr: 1.8534e-03 eta: 22:14:49 time: 0.4196 data_time: 0.0230 memory: 17006 grad_norm: 9.6424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4916 loss: 1.4916 2022/07/29 20:21:26 - mmengine - INFO - Epoch(train) [130][420/3757] lr: 1.8534e-03 eta: 22:14:40 time: 0.4136 data_time: 0.0217 memory: 17006 grad_norm: 9.5483 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3910 loss: 1.3910 2022/07/29 20:21:35 - mmengine - INFO - Epoch(train) [130][440/3757] lr: 1.8534e-03 eta: 22:14:35 time: 0.4509 data_time: 0.0266 memory: 17006 grad_norm: 9.9103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6340 loss: 1.6340 2022/07/29 20:21:43 - mmengine - INFO - Epoch(train) [130][460/3757] lr: 1.8534e-03 eta: 22:14:25 time: 0.4029 data_time: 0.0193 memory: 17006 grad_norm: 9.6006 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6163 loss: 1.6163 2022/07/29 20:21:51 - mmengine - INFO - Epoch(train) [130][480/3757] lr: 1.8534e-03 eta: 22:14:16 time: 0.4156 data_time: 0.0218 memory: 17006 grad_norm: 9.3261 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5194 loss: 1.5194 2022/07/29 20:22:00 - mmengine - INFO - Epoch(train) [130][500/3757] lr: 1.8534e-03 eta: 22:14:10 time: 0.4470 data_time: 0.0186 memory: 17006 grad_norm: 9.3434 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5470 loss: 1.5470 2022/07/29 20:22:09 - mmengine - INFO - Epoch(train) [130][520/3757] lr: 1.8534e-03 eta: 22:14:02 time: 0.4230 data_time: 0.0230 memory: 17006 grad_norm: 9.3974 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4978 loss: 1.4978 2022/07/29 20:22:17 - mmengine - INFO - Epoch(train) [130][540/3757] lr: 1.8534e-03 eta: 22:13:53 time: 0.4059 data_time: 0.0189 memory: 17006 grad_norm: 9.2801 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3499 loss: 1.3499 2022/07/29 20:22:25 - mmengine - INFO - Epoch(train) [130][560/3757] lr: 1.8534e-03 eta: 22:13:44 time: 0.4114 data_time: 0.0223 memory: 17006 grad_norm: 9.9635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6604 loss: 1.6604 2022/07/29 20:22:33 - mmengine - INFO - Epoch(train) [130][580/3757] lr: 1.8534e-03 eta: 22:13:34 time: 0.4061 data_time: 0.0208 memory: 17006 grad_norm: 9.5314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/07/29 20:22:41 - mmengine - INFO - Epoch(train) [130][600/3757] lr: 1.8534e-03 eta: 22:13:25 time: 0.4038 data_time: 0.0199 memory: 17006 grad_norm: 9.8342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5579 loss: 1.5579 2022/07/29 20:22:50 - mmengine - INFO - Epoch(train) [130][620/3757] lr: 1.8534e-03 eta: 22:13:18 time: 0.4394 data_time: 0.0203 memory: 17006 grad_norm: 9.1938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4874 loss: 1.4874 2022/07/29 20:22:58 - mmengine - INFO - Epoch(train) [130][640/3757] lr: 1.8534e-03 eta: 22:13:09 time: 0.4040 data_time: 0.0201 memory: 17006 grad_norm: 9.7288 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6171 loss: 1.6171 2022/07/29 20:23:08 - mmengine - INFO - Epoch(train) [130][660/3757] lr: 1.8534e-03 eta: 22:13:05 time: 0.4853 data_time: 0.0189 memory: 17006 grad_norm: 9.9535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4140 loss: 1.4140 2022/07/29 20:23:16 - mmengine - INFO - Epoch(train) [130][680/3757] lr: 1.8534e-03 eta: 22:12:56 time: 0.4070 data_time: 0.0227 memory: 17006 grad_norm: 9.9086 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6455 loss: 1.6455 2022/07/29 20:23:26 - mmengine - INFO - Epoch(train) [130][700/3757] lr: 1.8534e-03 eta: 22:12:52 time: 0.4808 data_time: 0.0201 memory: 17006 grad_norm: 9.8058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3296 loss: 1.3296 2022/07/29 20:23:34 - mmengine - INFO - Epoch(train) [130][720/3757] lr: 1.8534e-03 eta: 22:12:43 time: 0.4037 data_time: 0.0199 memory: 17006 grad_norm: 9.8600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6955 loss: 1.6955 2022/07/29 20:23:42 - mmengine - INFO - Epoch(train) [130][740/3757] lr: 1.8534e-03 eta: 22:12:33 time: 0.4048 data_time: 0.0188 memory: 17006 grad_norm: 9.5315 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6704 loss: 1.6704 2022/07/29 20:23:51 - mmengine - INFO - Epoch(train) [130][760/3757] lr: 1.8534e-03 eta: 22:12:25 time: 0.4250 data_time: 0.0213 memory: 17006 grad_norm: 9.3188 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4346 loss: 1.4346 2022/07/29 20:23:59 - mmengine - INFO - Epoch(train) [130][780/3757] lr: 1.8534e-03 eta: 22:12:16 time: 0.4050 data_time: 0.0184 memory: 17006 grad_norm: 9.6895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3408 loss: 1.3408 2022/07/29 20:24:08 - mmengine - INFO - Epoch(train) [130][800/3757] lr: 1.8534e-03 eta: 22:12:09 time: 0.4399 data_time: 0.0215 memory: 17006 grad_norm: 9.6329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3035 loss: 1.3035 2022/07/29 20:24:16 - mmengine - INFO - Epoch(train) [130][820/3757] lr: 1.8534e-03 eta: 22:12:00 time: 0.4028 data_time: 0.0179 memory: 17006 grad_norm: 9.7470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4095 loss: 1.4095 2022/07/29 20:24:25 - mmengine - INFO - Epoch(train) [130][840/3757] lr: 1.8534e-03 eta: 22:11:54 time: 0.4560 data_time: 0.0198 memory: 17006 grad_norm: 9.8033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4781 loss: 1.4781 2022/07/29 20:24:33 - mmengine - INFO - Epoch(train) [130][860/3757] lr: 1.8534e-03 eta: 22:11:45 time: 0.4082 data_time: 0.0194 memory: 17006 grad_norm: 9.7724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3920 loss: 1.3920 2022/07/29 20:24:41 - mmengine - INFO - Epoch(train) [130][880/3757] lr: 1.8534e-03 eta: 22:11:35 time: 0.4042 data_time: 0.0189 memory: 17006 grad_norm: 9.5932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6034 loss: 1.6034 2022/07/29 20:24:50 - mmengine - INFO - Epoch(train) [130][900/3757] lr: 1.8534e-03 eta: 22:11:30 time: 0.4530 data_time: 0.0220 memory: 17006 grad_norm: 9.5044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3349 loss: 1.3349 2022/07/29 20:24:58 - mmengine - INFO - Epoch(train) [130][920/3757] lr: 1.8534e-03 eta: 22:11:20 time: 0.4063 data_time: 0.0223 memory: 17006 grad_norm: 9.3737 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3369 loss: 1.3369 2022/07/29 20:25:07 - mmengine - INFO - Epoch(train) [130][940/3757] lr: 1.8534e-03 eta: 22:11:13 time: 0.4302 data_time: 0.0194 memory: 17006 grad_norm: 9.8121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5387 loss: 1.5387 2022/07/29 20:25:15 - mmengine - INFO - Epoch(train) [130][960/3757] lr: 1.8534e-03 eta: 22:11:04 time: 0.4082 data_time: 0.0227 memory: 17006 grad_norm: 9.9060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7353 loss: 1.7353 2022/07/29 20:25:23 - mmengine - INFO - Epoch(train) [130][980/3757] lr: 1.8534e-03 eta: 22:10:54 time: 0.4047 data_time: 0.0188 memory: 17006 grad_norm: 9.5768 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4504 loss: 1.4504 2022/07/29 20:25:32 - mmengine - INFO - Epoch(train) [130][1000/3757] lr: 1.8534e-03 eta: 22:10:46 time: 0.4162 data_time: 0.0208 memory: 17006 grad_norm: 9.5220 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9367 loss: 1.9367 2022/07/29 20:25:40 - mmengine - INFO - Epoch(train) [130][1020/3757] lr: 1.8534e-03 eta: 22:10:37 time: 0.4120 data_time: 0.0208 memory: 17006 grad_norm: 9.9431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4050 loss: 1.4050 2022/07/29 20:25:48 - mmengine - INFO - Epoch(train) [130][1040/3757] lr: 1.8534e-03 eta: 22:10:29 time: 0.4238 data_time: 0.0224 memory: 17006 grad_norm: 9.6046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5336 loss: 1.5336 2022/07/29 20:25:57 - mmengine - INFO - Epoch(train) [130][1060/3757] lr: 1.8534e-03 eta: 22:10:19 time: 0.4088 data_time: 0.0185 memory: 17006 grad_norm: 9.2309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4639 loss: 1.4639 2022/07/29 20:26:05 - mmengine - INFO - Epoch(train) [130][1080/3757] lr: 1.8534e-03 eta: 22:10:12 time: 0.4274 data_time: 0.0228 memory: 17006 grad_norm: 9.3302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6850 loss: 1.6850 2022/07/29 20:26:13 - mmengine - INFO - Epoch(train) [130][1100/3757] lr: 1.8534e-03 eta: 22:10:02 time: 0.4022 data_time: 0.0192 memory: 17006 grad_norm: 9.7594 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5537 loss: 1.5537 2022/07/29 20:26:21 - mmengine - INFO - Epoch(train) [130][1120/3757] lr: 1.8534e-03 eta: 22:09:53 time: 0.4128 data_time: 0.0205 memory: 17006 grad_norm: 9.7120 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2845 loss: 1.2845 2022/07/29 20:26:30 - mmengine - INFO - Epoch(train) [130][1140/3757] lr: 1.8534e-03 eta: 22:09:45 time: 0.4256 data_time: 0.0184 memory: 17006 grad_norm: 9.9219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4318 loss: 1.4318 2022/07/29 20:26:38 - mmengine - INFO - Epoch(train) [130][1160/3757] lr: 1.8534e-03 eta: 22:09:36 time: 0.4079 data_time: 0.0227 memory: 17006 grad_norm: 9.4771 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6521 loss: 1.6521 2022/07/29 20:26:47 - mmengine - INFO - Epoch(train) [130][1180/3757] lr: 1.8534e-03 eta: 22:09:28 time: 0.4238 data_time: 0.0203 memory: 17006 grad_norm: 9.9542 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6431 loss: 1.6431 2022/07/29 20:26:55 - mmengine - INFO - Epoch(train) [130][1200/3757] lr: 1.8534e-03 eta: 22:09:19 time: 0.4069 data_time: 0.0208 memory: 17006 grad_norm: 9.9188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6602 loss: 1.6602 2022/07/29 20:27:03 - mmengine - INFO - Epoch(train) [130][1220/3757] lr: 1.8534e-03 eta: 22:09:09 time: 0.4031 data_time: 0.0195 memory: 17006 grad_norm: 9.2007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6308 loss: 1.6308 2022/07/29 20:27:11 - mmengine - INFO - Epoch(train) [130][1240/3757] lr: 1.8534e-03 eta: 22:09:01 time: 0.4240 data_time: 0.0235 memory: 17006 grad_norm: 9.6483 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6338 loss: 1.6338 2022/07/29 20:27:20 - mmengine - INFO - Epoch(train) [130][1260/3757] lr: 1.8534e-03 eta: 22:08:53 time: 0.4210 data_time: 0.0177 memory: 17006 grad_norm: 9.3411 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6162 loss: 1.6162 2022/07/29 20:27:28 - mmengine - INFO - Epoch(train) [130][1280/3757] lr: 1.8534e-03 eta: 22:08:44 time: 0.4098 data_time: 0.0225 memory: 17006 grad_norm: 9.4757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4519 loss: 1.4519 2022/07/29 20:27:36 - mmengine - INFO - Epoch(train) [130][1300/3757] lr: 1.8534e-03 eta: 22:08:35 time: 0.4132 data_time: 0.0178 memory: 17006 grad_norm: 9.4886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6093 loss: 1.6093 2022/07/29 20:27:45 - mmengine - INFO - Epoch(train) [130][1320/3757] lr: 1.8534e-03 eta: 22:08:27 time: 0.4209 data_time: 0.0235 memory: 17006 grad_norm: 9.5866 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5155 loss: 1.5155 2022/07/29 20:27:53 - mmengine - INFO - Epoch(train) [130][1340/3757] lr: 1.8534e-03 eta: 22:08:17 time: 0.4024 data_time: 0.0178 memory: 17006 grad_norm: 9.3392 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5686 loss: 1.5686 2022/07/29 20:27:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:28:01 - mmengine - INFO - Epoch(train) [130][1360/3757] lr: 1.8534e-03 eta: 22:08:08 time: 0.4038 data_time: 0.0195 memory: 17006 grad_norm: 9.4894 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5469 loss: 1.5469 2022/07/29 20:28:10 - mmengine - INFO - Epoch(train) [130][1380/3757] lr: 1.8534e-03 eta: 22:08:00 time: 0.4279 data_time: 0.0188 memory: 17006 grad_norm: 9.5987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4232 loss: 1.4232 2022/07/29 20:28:18 - mmengine - INFO - Epoch(train) [130][1400/3757] lr: 1.8534e-03 eta: 22:07:51 time: 0.4041 data_time: 0.0204 memory: 17006 grad_norm: 9.7929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7043 loss: 1.7043 2022/07/29 20:28:26 - mmengine - INFO - Epoch(train) [130][1420/3757] lr: 1.8534e-03 eta: 22:07:43 time: 0.4222 data_time: 0.0219 memory: 17006 grad_norm: 9.4382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3543 loss: 1.3543 2022/07/29 20:28:34 - mmengine - INFO - Epoch(train) [130][1440/3757] lr: 1.8534e-03 eta: 22:07:33 time: 0.4060 data_time: 0.0200 memory: 17006 grad_norm: 9.2792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3952 loss: 1.3952 2022/07/29 20:28:42 - mmengine - INFO - Epoch(train) [130][1460/3757] lr: 1.8534e-03 eta: 22:07:24 time: 0.4039 data_time: 0.0188 memory: 17006 grad_norm: 9.5847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3862 loss: 1.3862 2022/07/29 20:28:51 - mmengine - INFO - Epoch(train) [130][1480/3757] lr: 1.8534e-03 eta: 22:07:17 time: 0.4415 data_time: 0.0236 memory: 17006 grad_norm: 9.2300 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4359 loss: 1.4359 2022/07/29 20:29:00 - mmengine - INFO - Epoch(train) [130][1500/3757] lr: 1.8534e-03 eta: 22:07:09 time: 0.4183 data_time: 0.0179 memory: 17006 grad_norm: 9.3252 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8495 loss: 1.8495 2022/07/29 20:29:08 - mmengine - INFO - Epoch(train) [130][1520/3757] lr: 1.8534e-03 eta: 22:07:01 time: 0.4327 data_time: 0.0243 memory: 17006 grad_norm: 9.4545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3132 loss: 1.3132 2022/07/29 20:29:16 - mmengine - INFO - Epoch(train) [130][1540/3757] lr: 1.8534e-03 eta: 22:06:52 time: 0.4034 data_time: 0.0196 memory: 17006 grad_norm: 9.4721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2228 loss: 1.2228 2022/07/29 20:29:25 - mmengine - INFO - Epoch(train) [130][1560/3757] lr: 1.8534e-03 eta: 22:06:43 time: 0.4127 data_time: 0.0231 memory: 17006 grad_norm: 9.7713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7299 loss: 1.7299 2022/07/29 20:29:33 - mmengine - INFO - Epoch(train) [130][1580/3757] lr: 1.8534e-03 eta: 22:06:33 time: 0.4018 data_time: 0.0183 memory: 17006 grad_norm: 10.0462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5344 loss: 1.5344 2022/07/29 20:29:41 - mmengine - INFO - Epoch(train) [130][1600/3757] lr: 1.8534e-03 eta: 22:06:24 time: 0.4144 data_time: 0.0222 memory: 17006 grad_norm: 9.7990 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6039 loss: 1.6039 2022/07/29 20:29:49 - mmengine - INFO - Epoch(train) [130][1620/3757] lr: 1.8534e-03 eta: 22:06:16 time: 0.4171 data_time: 0.0201 memory: 17006 grad_norm: 9.7104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6693 loss: 1.6693 2022/07/29 20:29:58 - mmengine - INFO - Epoch(train) [130][1640/3757] lr: 1.8534e-03 eta: 22:06:09 time: 0.4394 data_time: 0.0229 memory: 17006 grad_norm: 9.3422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5826 loss: 1.5826 2022/07/29 20:30:07 - mmengine - INFO - Epoch(train) [130][1660/3757] lr: 1.8534e-03 eta: 22:06:01 time: 0.4184 data_time: 0.0190 memory: 17006 grad_norm: 9.4364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7438 loss: 1.7438 2022/07/29 20:30:15 - mmengine - INFO - Epoch(train) [130][1680/3757] lr: 1.8534e-03 eta: 22:05:51 time: 0.4064 data_time: 0.0195 memory: 17006 grad_norm: 9.8263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/07/29 20:30:23 - mmengine - INFO - Epoch(train) [130][1700/3757] lr: 1.8534e-03 eta: 22:05:42 time: 0.4048 data_time: 0.0198 memory: 17006 grad_norm: 10.0597 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3951 loss: 1.3951 2022/07/29 20:30:32 - mmengine - INFO - Epoch(train) [130][1720/3757] lr: 1.8534e-03 eta: 22:05:37 time: 0.4583 data_time: 0.0223 memory: 17006 grad_norm: 9.5579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4576 loss: 1.4576 2022/07/29 20:30:40 - mmengine - INFO - Epoch(train) [130][1740/3757] lr: 1.8534e-03 eta: 22:05:27 time: 0.4038 data_time: 0.0192 memory: 17006 grad_norm: 9.2805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4325 loss: 1.4325 2022/07/29 20:30:49 - mmengine - INFO - Epoch(train) [130][1760/3757] lr: 1.8534e-03 eta: 22:05:19 time: 0.4268 data_time: 0.0215 memory: 17006 grad_norm: 9.6354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3535 loss: 1.3535 2022/07/29 20:30:57 - mmengine - INFO - Epoch(train) [130][1780/3757] lr: 1.8534e-03 eta: 22:05:10 time: 0.4078 data_time: 0.0203 memory: 17006 grad_norm: 9.6404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6066 loss: 1.6066 2022/07/29 20:31:06 - mmengine - INFO - Epoch(train) [130][1800/3757] lr: 1.8534e-03 eta: 22:05:04 time: 0.4525 data_time: 0.0219 memory: 17006 grad_norm: 9.6113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3551 loss: 1.3551 2022/07/29 20:31:14 - mmengine - INFO - Epoch(train) [130][1820/3757] lr: 1.8534e-03 eta: 22:04:55 time: 0.4022 data_time: 0.0184 memory: 17006 grad_norm: 9.7010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5343 loss: 1.5343 2022/07/29 20:31:22 - mmengine - INFO - Epoch(train) [130][1840/3757] lr: 1.8534e-03 eta: 22:04:45 time: 0.4092 data_time: 0.0194 memory: 17006 grad_norm: 9.8600 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4148 loss: 1.4148 2022/07/29 20:31:31 - mmengine - INFO - Epoch(train) [130][1860/3757] lr: 1.8534e-03 eta: 22:04:39 time: 0.4375 data_time: 0.0205 memory: 17006 grad_norm: 9.2326 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3984 loss: 1.3984 2022/07/29 20:31:39 - mmengine - INFO - Epoch(train) [130][1880/3757] lr: 1.8534e-03 eta: 22:04:29 time: 0.4094 data_time: 0.0216 memory: 17006 grad_norm: 9.7889 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4088 loss: 1.4088 2022/07/29 20:31:48 - mmengine - INFO - Epoch(train) [130][1900/3757] lr: 1.8534e-03 eta: 22:04:21 time: 0.4145 data_time: 0.0194 memory: 17006 grad_norm: 9.4633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7278 loss: 1.7278 2022/07/29 20:31:56 - mmengine - INFO - Epoch(train) [130][1920/3757] lr: 1.8534e-03 eta: 22:04:12 time: 0.4115 data_time: 0.0214 memory: 17006 grad_norm: 9.8852 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3741 loss: 1.3741 2022/07/29 20:32:04 - mmengine - INFO - Epoch(train) [130][1940/3757] lr: 1.8534e-03 eta: 22:04:02 time: 0.4041 data_time: 0.0181 memory: 17006 grad_norm: 9.7338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6893 loss: 1.6893 2022/07/29 20:32:12 - mmengine - INFO - Epoch(train) [130][1960/3757] lr: 1.8534e-03 eta: 22:03:55 time: 0.4275 data_time: 0.0212 memory: 17006 grad_norm: 9.7043 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6301 loss: 1.6301 2022/07/29 20:32:21 - mmengine - INFO - Epoch(train) [130][1980/3757] lr: 1.8534e-03 eta: 22:03:45 time: 0.4057 data_time: 0.0208 memory: 17006 grad_norm: 9.8075 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2834 loss: 1.2834 2022/07/29 20:32:30 - mmengine - INFO - Epoch(train) [130][2000/3757] lr: 1.8534e-03 eta: 22:03:39 time: 0.4445 data_time: 0.0230 memory: 17006 grad_norm: 9.9058 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7228 loss: 1.7228 2022/07/29 20:32:38 - mmengine - INFO - Epoch(train) [130][2020/3757] lr: 1.8534e-03 eta: 22:03:30 time: 0.4191 data_time: 0.0199 memory: 17006 grad_norm: 9.8532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6409 loss: 1.6409 2022/07/29 20:32:46 - mmengine - INFO - Epoch(train) [130][2040/3757] lr: 1.8534e-03 eta: 22:03:22 time: 0.4195 data_time: 0.0226 memory: 17006 grad_norm: 10.3479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3761 loss: 1.3761 2022/07/29 20:32:55 - mmengine - INFO - Epoch(train) [130][2060/3757] lr: 1.8534e-03 eta: 22:03:13 time: 0.4130 data_time: 0.0276 memory: 17006 grad_norm: 10.2270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4599 loss: 1.4599 2022/07/29 20:33:03 - mmengine - INFO - Epoch(train) [130][2080/3757] lr: 1.8534e-03 eta: 22:03:04 time: 0.4032 data_time: 0.0213 memory: 17006 grad_norm: 9.6660 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3558 loss: 1.3558 2022/07/29 20:33:12 - mmengine - INFO - Epoch(train) [130][2100/3757] lr: 1.8534e-03 eta: 22:02:59 time: 0.4728 data_time: 0.0198 memory: 17006 grad_norm: 10.0192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3795 loss: 1.3795 2022/07/29 20:33:20 - mmengine - INFO - Epoch(train) [130][2120/3757] lr: 1.8534e-03 eta: 22:02:50 time: 0.4075 data_time: 0.0210 memory: 17006 grad_norm: 9.6137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4806 loss: 1.4806 2022/07/29 20:33:29 - mmengine - INFO - Epoch(train) [130][2140/3757] lr: 1.8534e-03 eta: 22:02:44 time: 0.4518 data_time: 0.0210 memory: 17006 grad_norm: 9.7972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5315 loss: 1.5315 2022/07/29 20:33:38 - mmengine - INFO - Epoch(train) [130][2160/3757] lr: 1.8534e-03 eta: 22:02:35 time: 0.4054 data_time: 0.0207 memory: 17006 grad_norm: 9.8641 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6238 loss: 1.6238 2022/07/29 20:33:46 - mmengine - INFO - Epoch(train) [130][2180/3757] lr: 1.8534e-03 eta: 22:02:28 time: 0.4364 data_time: 0.0214 memory: 17006 grad_norm: 9.6782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3296 loss: 1.3296 2022/07/29 20:33:54 - mmengine - INFO - Epoch(train) [130][2200/3757] lr: 1.8534e-03 eta: 22:02:18 time: 0.4071 data_time: 0.0209 memory: 17006 grad_norm: 9.4761 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7779 loss: 1.7779 2022/07/29 20:34:03 - mmengine - INFO - Epoch(train) [130][2220/3757] lr: 1.8534e-03 eta: 22:02:11 time: 0.4290 data_time: 0.0173 memory: 17006 grad_norm: 9.8131 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8363 loss: 1.8363 2022/07/29 20:34:12 - mmengine - INFO - Epoch(train) [130][2240/3757] lr: 1.8534e-03 eta: 22:02:04 time: 0.4389 data_time: 0.0234 memory: 17006 grad_norm: 9.9246 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4813 loss: 1.4813 2022/07/29 20:34:20 - mmengine - INFO - Epoch(train) [130][2260/3757] lr: 1.8534e-03 eta: 22:01:55 time: 0.4059 data_time: 0.0209 memory: 17006 grad_norm: 9.3413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4499 loss: 1.4499 2022/07/29 20:34:29 - mmengine - INFO - Epoch(train) [130][2280/3757] lr: 1.8534e-03 eta: 22:01:47 time: 0.4224 data_time: 0.0216 memory: 17006 grad_norm: 9.8628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4912 loss: 1.4912 2022/07/29 20:34:37 - mmengine - INFO - Epoch(train) [130][2300/3757] lr: 1.8534e-03 eta: 22:01:38 time: 0.4177 data_time: 0.0203 memory: 17006 grad_norm: 9.8939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3992 loss: 1.3992 2022/07/29 20:34:45 - mmengine - INFO - Epoch(train) [130][2320/3757] lr: 1.8534e-03 eta: 22:01:30 time: 0.4259 data_time: 0.0226 memory: 17006 grad_norm: 9.5731 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5745 loss: 1.5745 2022/07/29 20:34:54 - mmengine - INFO - Epoch(train) [130][2340/3757] lr: 1.8534e-03 eta: 22:01:21 time: 0.4037 data_time: 0.0189 memory: 17006 grad_norm: 10.1562 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7000 loss: 1.7000 2022/07/29 20:34:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:35:02 - mmengine - INFO - Epoch(train) [130][2360/3757] lr: 1.8534e-03 eta: 22:01:11 time: 0.4063 data_time: 0.0201 memory: 17006 grad_norm: 9.9419 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4969 loss: 1.4969 2022/07/29 20:35:10 - mmengine - INFO - Epoch(train) [130][2380/3757] lr: 1.8534e-03 eta: 22:01:03 time: 0.4251 data_time: 0.0298 memory: 17006 grad_norm: 9.7751 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.4039 loss: 1.4039 2022/07/29 20:35:18 - mmengine - INFO - Epoch(train) [130][2400/3757] lr: 1.8534e-03 eta: 22:00:54 time: 0.4077 data_time: 0.0222 memory: 17006 grad_norm: 9.8052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4579 loss: 1.4579 2022/07/29 20:35:27 - mmengine - INFO - Epoch(train) [130][2420/3757] lr: 1.8534e-03 eta: 22:00:47 time: 0.4350 data_time: 0.0205 memory: 17006 grad_norm: 10.4123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6615 loss: 1.6615 2022/07/29 20:35:36 - mmengine - INFO - Epoch(train) [130][2440/3757] lr: 1.8534e-03 eta: 22:00:40 time: 0.4388 data_time: 0.0213 memory: 17006 grad_norm: 9.9453 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5773 loss: 1.5773 2022/07/29 20:35:44 - mmengine - INFO - Epoch(train) [130][2460/3757] lr: 1.8534e-03 eta: 22:00:31 time: 0.4026 data_time: 0.0187 memory: 17006 grad_norm: 9.5017 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3964 loss: 1.3964 2022/07/29 20:35:53 - mmengine - INFO - Epoch(train) [130][2480/3757] lr: 1.8534e-03 eta: 22:00:23 time: 0.4281 data_time: 0.0219 memory: 17006 grad_norm: 10.0454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5007 loss: 1.5007 2022/07/29 20:36:01 - mmengine - INFO - Epoch(train) [130][2500/3757] lr: 1.8534e-03 eta: 22:00:13 time: 0.4038 data_time: 0.0194 memory: 17006 grad_norm: 9.5510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6114 loss: 1.6114 2022/07/29 20:36:10 - mmengine - INFO - Epoch(train) [130][2520/3757] lr: 1.8534e-03 eta: 22:00:07 time: 0.4456 data_time: 0.0225 memory: 17006 grad_norm: 9.9301 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/07/29 20:36:18 - mmengine - INFO - Epoch(train) [130][2540/3757] lr: 1.8534e-03 eta: 21:59:57 time: 0.4036 data_time: 0.0187 memory: 17006 grad_norm: 9.4773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6435 loss: 1.6435 2022/07/29 20:36:26 - mmengine - INFO - Epoch(train) [130][2560/3757] lr: 1.8534e-03 eta: 21:59:50 time: 0.4301 data_time: 0.0227 memory: 17006 grad_norm: 9.8980 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5944 loss: 1.5944 2022/07/29 20:36:34 - mmengine - INFO - Epoch(train) [130][2580/3757] lr: 1.8534e-03 eta: 21:59:40 time: 0.4043 data_time: 0.0204 memory: 17006 grad_norm: 10.0678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5425 loss: 1.5425 2022/07/29 20:36:42 - mmengine - INFO - Epoch(train) [130][2600/3757] lr: 1.8534e-03 eta: 21:59:31 time: 0.4028 data_time: 0.0196 memory: 17006 grad_norm: 9.9065 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6468 loss: 1.6468 2022/07/29 20:36:51 - mmengine - INFO - Epoch(train) [130][2620/3757] lr: 1.8534e-03 eta: 21:59:23 time: 0.4277 data_time: 0.0200 memory: 17006 grad_norm: 9.4971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7383 loss: 1.7383 2022/07/29 20:36:59 - mmengine - INFO - Epoch(train) [130][2640/3757] lr: 1.8534e-03 eta: 21:59:14 time: 0.4029 data_time: 0.0191 memory: 17006 grad_norm: 10.0654 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4590 loss: 1.4590 2022/07/29 20:37:08 - mmengine - INFO - Epoch(train) [130][2660/3757] lr: 1.8534e-03 eta: 21:59:07 time: 0.4423 data_time: 0.0194 memory: 17006 grad_norm: 10.1696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4748 loss: 1.4748 2022/07/29 20:37:16 - mmengine - INFO - Epoch(train) [130][2680/3757] lr: 1.8534e-03 eta: 21:58:58 time: 0.4051 data_time: 0.0213 memory: 17006 grad_norm: 9.9028 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7920 loss: 1.7920 2022/07/29 20:37:24 - mmengine - INFO - Epoch(train) [130][2700/3757] lr: 1.8534e-03 eta: 21:58:48 time: 0.4036 data_time: 0.0184 memory: 17006 grad_norm: 10.2793 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5246 loss: 1.5246 2022/07/29 20:37:33 - mmengine - INFO - Epoch(train) [130][2720/3757] lr: 1.8534e-03 eta: 21:58:40 time: 0.4237 data_time: 0.0221 memory: 17006 grad_norm: 9.6287 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5738 loss: 1.5738 2022/07/29 20:37:41 - mmengine - INFO - Epoch(train) [130][2740/3757] lr: 1.8534e-03 eta: 21:58:31 time: 0.4034 data_time: 0.0193 memory: 17006 grad_norm: 10.0221 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3452 loss: 1.3452 2022/07/29 20:37:50 - mmengine - INFO - Epoch(train) [130][2760/3757] lr: 1.8534e-03 eta: 21:58:24 time: 0.4498 data_time: 0.0229 memory: 17006 grad_norm: 9.5323 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5637 loss: 1.5637 2022/07/29 20:37:58 - mmengine - INFO - Epoch(train) [130][2780/3757] lr: 1.8534e-03 eta: 21:58:15 time: 0.4036 data_time: 0.0187 memory: 17006 grad_norm: 9.6783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5348 loss: 1.5348 2022/07/29 20:38:07 - mmengine - INFO - Epoch(train) [130][2800/3757] lr: 1.8534e-03 eta: 21:58:09 time: 0.4485 data_time: 0.0232 memory: 17006 grad_norm: 9.4753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3350 loss: 1.3350 2022/07/29 20:38:15 - mmengine - INFO - Epoch(train) [130][2820/3757] lr: 1.8534e-03 eta: 21:57:59 time: 0.4026 data_time: 0.0197 memory: 17006 grad_norm: 9.6818 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6559 loss: 1.6559 2022/07/29 20:38:23 - mmengine - INFO - Epoch(train) [130][2840/3757] lr: 1.8534e-03 eta: 21:57:50 time: 0.4057 data_time: 0.0222 memory: 17006 grad_norm: 9.3150 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5333 loss: 1.5333 2022/07/29 20:38:33 - mmengine - INFO - Epoch(train) [130][2860/3757] lr: 1.8534e-03 eta: 21:57:45 time: 0.4711 data_time: 0.0220 memory: 17006 grad_norm: 10.0249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6955 loss: 1.6955 2022/07/29 20:38:41 - mmengine - INFO - Epoch(train) [130][2880/3757] lr: 1.8534e-03 eta: 21:57:36 time: 0.4050 data_time: 0.0209 memory: 17006 grad_norm: 9.5322 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4378 loss: 1.4378 2022/07/29 20:38:49 - mmengine - INFO - Epoch(train) [130][2900/3757] lr: 1.8534e-03 eta: 21:57:28 time: 0.4201 data_time: 0.0213 memory: 17006 grad_norm: 9.9984 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5676 loss: 1.5676 2022/07/29 20:38:57 - mmengine - INFO - Epoch(train) [130][2920/3757] lr: 1.8534e-03 eta: 21:57:18 time: 0.4059 data_time: 0.0216 memory: 17006 grad_norm: 9.6288 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4990 loss: 1.4990 2022/07/29 20:39:06 - mmengine - INFO - Epoch(train) [130][2940/3757] lr: 1.8534e-03 eta: 21:57:11 time: 0.4274 data_time: 0.0207 memory: 17006 grad_norm: 9.8584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5043 loss: 1.5043 2022/07/29 20:39:14 - mmengine - INFO - Epoch(train) [130][2960/3757] lr: 1.8534e-03 eta: 21:57:01 time: 0.4031 data_time: 0.0211 memory: 17006 grad_norm: 9.7250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4986 loss: 1.4986 2022/07/29 20:39:22 - mmengine - INFO - Epoch(train) [130][2980/3757] lr: 1.8534e-03 eta: 21:56:52 time: 0.4075 data_time: 0.0189 memory: 17006 grad_norm: 9.9861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5189 loss: 1.5189 2022/07/29 20:39:31 - mmengine - INFO - Epoch(train) [130][3000/3757] lr: 1.8534e-03 eta: 21:56:44 time: 0.4324 data_time: 0.0228 memory: 17006 grad_norm: 9.6524 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5686 loss: 1.5686 2022/07/29 20:39:39 - mmengine - INFO - Epoch(train) [130][3020/3757] lr: 1.8534e-03 eta: 21:56:35 time: 0.4067 data_time: 0.0195 memory: 17006 grad_norm: 10.0050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7260 loss: 1.7260 2022/07/29 20:39:48 - mmengine - INFO - Epoch(train) [130][3040/3757] lr: 1.8534e-03 eta: 21:56:29 time: 0.4533 data_time: 0.0224 memory: 17006 grad_norm: 9.6421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5491 loss: 1.5491 2022/07/29 20:39:56 - mmengine - INFO - Epoch(train) [130][3060/3757] lr: 1.8534e-03 eta: 21:56:20 time: 0.4056 data_time: 0.0190 memory: 17006 grad_norm: 9.4881 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4816 loss: 1.4816 2022/07/29 20:40:04 - mmengine - INFO - Epoch(train) [130][3080/3757] lr: 1.8534e-03 eta: 21:56:10 time: 0.4039 data_time: 0.0208 memory: 17006 grad_norm: 9.8651 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6681 loss: 1.6681 2022/07/29 20:40:12 - mmengine - INFO - Epoch(train) [130][3100/3757] lr: 1.8534e-03 eta: 21:56:01 time: 0.4064 data_time: 0.0206 memory: 17006 grad_norm: 9.9170 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6260 loss: 1.6260 2022/07/29 20:40:21 - mmengine - INFO - Epoch(train) [130][3120/3757] lr: 1.8534e-03 eta: 21:55:55 time: 0.4442 data_time: 0.0218 memory: 17006 grad_norm: 9.8207 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6350 loss: 1.6350 2022/07/29 20:40:30 - mmengine - INFO - Epoch(train) [130][3140/3757] lr: 1.8534e-03 eta: 21:55:46 time: 0.4208 data_time: 0.0192 memory: 17006 grad_norm: 9.5037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6044 loss: 1.6044 2022/07/29 20:40:38 - mmengine - INFO - Epoch(train) [130][3160/3757] lr: 1.8534e-03 eta: 21:55:38 time: 0.4147 data_time: 0.0221 memory: 17006 grad_norm: 9.4532 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7345 loss: 1.7345 2022/07/29 20:40:47 - mmengine - INFO - Epoch(train) [130][3180/3757] lr: 1.8534e-03 eta: 21:55:30 time: 0.4283 data_time: 0.0196 memory: 17006 grad_norm: 9.1515 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1571 loss: 1.1571 2022/07/29 20:40:55 - mmengine - INFO - Epoch(train) [130][3200/3757] lr: 1.8534e-03 eta: 21:55:21 time: 0.4059 data_time: 0.0224 memory: 17006 grad_norm: 9.7556 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6203 loss: 1.6203 2022/07/29 20:41:04 - mmengine - INFO - Epoch(train) [130][3220/3757] lr: 1.8534e-03 eta: 21:55:14 time: 0.4431 data_time: 0.0190 memory: 17006 grad_norm: 9.5172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4372 loss: 1.4372 2022/07/29 20:41:12 - mmengine - INFO - Epoch(train) [130][3240/3757] lr: 1.8534e-03 eta: 21:55:06 time: 0.4255 data_time: 0.0217 memory: 17006 grad_norm: 9.9605 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5698 loss: 1.5698 2022/07/29 20:41:21 - mmengine - INFO - Epoch(train) [130][3260/3757] lr: 1.8534e-03 eta: 21:54:58 time: 0.4253 data_time: 0.0212 memory: 17006 grad_norm: 9.2449 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5421 loss: 1.5421 2022/07/29 20:41:29 - mmengine - INFO - Epoch(train) [130][3280/3757] lr: 1.8534e-03 eta: 21:54:50 time: 0.4214 data_time: 0.0230 memory: 17006 grad_norm: 10.2824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3858 loss: 1.3858 2022/07/29 20:41:38 - mmengine - INFO - Epoch(train) [130][3300/3757] lr: 1.8534e-03 eta: 21:54:42 time: 0.4172 data_time: 0.0187 memory: 17006 grad_norm: 9.4315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6675 loss: 1.6675 2022/07/29 20:41:46 - mmengine - INFO - Epoch(train) [130][3320/3757] lr: 1.8534e-03 eta: 21:54:34 time: 0.4249 data_time: 0.0229 memory: 17006 grad_norm: 9.6961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7535 loss: 1.7535 2022/07/29 20:41:54 - mmengine - INFO - Epoch(train) [130][3340/3757] lr: 1.8534e-03 eta: 21:54:24 time: 0.4007 data_time: 0.0186 memory: 17006 grad_norm: 9.5747 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7653 loss: 1.7653 2022/07/29 20:41:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:42:03 - mmengine - INFO - Epoch(train) [130][3360/3757] lr: 1.8534e-03 eta: 21:54:17 time: 0.4366 data_time: 0.0198 memory: 17006 grad_norm: 10.3366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4679 loss: 1.4679 2022/07/29 20:42:12 - mmengine - INFO - Epoch(train) [130][3380/3757] lr: 1.8534e-03 eta: 21:54:10 time: 0.4358 data_time: 0.0209 memory: 17006 grad_norm: 9.2997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2465 loss: 1.2465 2022/07/29 20:42:20 - mmengine - INFO - Epoch(train) [130][3400/3757] lr: 1.8534e-03 eta: 21:54:01 time: 0.4108 data_time: 0.0216 memory: 17006 grad_norm: 9.7637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8240 loss: 1.8240 2022/07/29 20:42:29 - mmengine - INFO - Epoch(train) [130][3420/3757] lr: 1.8534e-03 eta: 21:53:54 time: 0.4428 data_time: 0.0201 memory: 17006 grad_norm: 9.5119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3480 loss: 1.3480 2022/07/29 20:42:37 - mmengine - INFO - Epoch(train) [130][3440/3757] lr: 1.8534e-03 eta: 21:53:45 time: 0.4060 data_time: 0.0209 memory: 17006 grad_norm: 9.6936 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5191 loss: 1.5191 2022/07/29 20:42:45 - mmengine - INFO - Epoch(train) [130][3460/3757] lr: 1.8534e-03 eta: 21:53:35 time: 0.4028 data_time: 0.0182 memory: 17006 grad_norm: 9.9284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7898 loss: 1.7898 2022/07/29 20:42:54 - mmengine - INFO - Epoch(train) [130][3480/3757] lr: 1.8534e-03 eta: 21:53:27 time: 0.4259 data_time: 0.0224 memory: 17006 grad_norm: 9.7865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4133 loss: 1.4133 2022/07/29 20:43:02 - mmengine - INFO - Epoch(train) [130][3500/3757] lr: 1.8534e-03 eta: 21:53:18 time: 0.4060 data_time: 0.0178 memory: 17006 grad_norm: 9.6484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5096 loss: 1.5096 2022/07/29 20:43:10 - mmengine - INFO - Epoch(train) [130][3520/3757] lr: 1.8534e-03 eta: 21:53:10 time: 0.4218 data_time: 0.0210 memory: 17006 grad_norm: 9.7179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5061 loss: 1.5061 2022/07/29 20:43:19 - mmengine - INFO - Epoch(train) [130][3540/3757] lr: 1.8534e-03 eta: 21:53:04 time: 0.4517 data_time: 0.0188 memory: 17006 grad_norm: 9.7083 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/07/29 20:43:28 - mmengine - INFO - Epoch(train) [130][3560/3757] lr: 1.8534e-03 eta: 21:52:56 time: 0.4238 data_time: 0.0234 memory: 17006 grad_norm: 10.2413 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6950 loss: 1.6950 2022/07/29 20:43:36 - mmengine - INFO - Epoch(train) [130][3580/3757] lr: 1.8534e-03 eta: 21:52:46 time: 0.4065 data_time: 0.0191 memory: 17006 grad_norm: 9.9476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4932 loss: 1.4932 2022/07/29 20:43:44 - mmengine - INFO - Epoch(train) [130][3600/3757] lr: 1.8534e-03 eta: 21:52:37 time: 0.4044 data_time: 0.0203 memory: 17006 grad_norm: 9.7209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6311 loss: 1.6311 2022/07/29 20:43:52 - mmengine - INFO - Epoch(train) [130][3620/3757] lr: 1.8534e-03 eta: 21:52:29 time: 0.4169 data_time: 0.0196 memory: 17006 grad_norm: 9.8211 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4961 loss: 1.4961 2022/07/29 20:44:01 - mmengine - INFO - Epoch(train) [130][3640/3757] lr: 1.8534e-03 eta: 21:52:20 time: 0.4213 data_time: 0.0211 memory: 17006 grad_norm: 9.9492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7039 loss: 1.7039 2022/07/29 20:44:10 - mmengine - INFO - Epoch(train) [130][3660/3757] lr: 1.8534e-03 eta: 21:52:14 time: 0.4436 data_time: 0.0201 memory: 17006 grad_norm: 9.5072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3154 loss: 1.3154 2022/07/29 20:44:18 - mmengine - INFO - Epoch(train) [130][3680/3757] lr: 1.8534e-03 eta: 21:52:06 time: 0.4232 data_time: 0.0295 memory: 17006 grad_norm: 9.7263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7290 loss: 1.7290 2022/07/29 20:44:26 - mmengine - INFO - Epoch(train) [130][3700/3757] lr: 1.8534e-03 eta: 21:51:56 time: 0.4046 data_time: 0.0181 memory: 17006 grad_norm: 9.3880 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5546 loss: 1.5546 2022/07/29 20:44:34 - mmengine - INFO - Epoch(train) [130][3720/3757] lr: 1.8534e-03 eta: 21:51:47 time: 0.4040 data_time: 0.0215 memory: 17006 grad_norm: 9.8407 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4827 loss: 1.4827 2022/07/29 20:44:44 - mmengine - INFO - Epoch(train) [130][3740/3757] lr: 1.8534e-03 eta: 21:51:41 time: 0.4548 data_time: 0.0196 memory: 17006 grad_norm: 9.9565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1019 loss: 1.1019 2022/07/29 20:44:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:44:51 - mmengine - INFO - Epoch(train) [130][3757/3757] lr: 1.8534e-03 eta: 21:51:41 time: 0.4139 data_time: 0.0217 memory: 17006 grad_norm: 10.0427 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4522 loss: 1.4522 2022/07/29 20:44:51 - mmengine - INFO - Saving checkpoint at 130 epochs 2022/07/29 20:45:05 - mmengine - INFO - Epoch(train) [131][20/3757] lr: 1.7861e-03 eta: 21:51:04 time: 0.4676 data_time: 0.0804 memory: 17006 grad_norm: 9.4826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4485 loss: 1.4485 2022/07/29 20:45:13 - mmengine - INFO - Epoch(train) [131][40/3757] lr: 1.7861e-03 eta: 21:50:54 time: 0.4065 data_time: 0.0226 memory: 17006 grad_norm: 9.9013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3616 loss: 1.3616 2022/07/29 20:45:21 - mmengine - INFO - Epoch(train) [131][60/3757] lr: 1.7861e-03 eta: 21:50:46 time: 0.4216 data_time: 0.0205 memory: 17006 grad_norm: 9.9440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4793 loss: 1.4793 2022/07/29 20:45:30 - mmengine - INFO - Epoch(train) [131][80/3757] lr: 1.7861e-03 eta: 21:50:37 time: 0.4045 data_time: 0.0199 memory: 17006 grad_norm: 9.6147 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5331 loss: 1.5331 2022/07/29 20:45:38 - mmengine - INFO - Epoch(train) [131][100/3757] lr: 1.7861e-03 eta: 21:50:28 time: 0.4075 data_time: 0.0219 memory: 17006 grad_norm: 9.3709 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4940 loss: 1.4940 2022/07/29 20:45:46 - mmengine - INFO - Epoch(train) [131][120/3757] lr: 1.7861e-03 eta: 21:50:19 time: 0.4150 data_time: 0.0200 memory: 17006 grad_norm: 10.0599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7199 loss: 1.7199 2022/07/29 20:45:54 - mmengine - INFO - Epoch(train) [131][140/3757] lr: 1.7861e-03 eta: 21:50:09 time: 0.4038 data_time: 0.0214 memory: 17006 grad_norm: 9.9338 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3967 loss: 1.3967 2022/07/29 20:46:03 - mmengine - INFO - Epoch(train) [131][160/3757] lr: 1.7861e-03 eta: 21:50:01 time: 0.4215 data_time: 0.0210 memory: 17006 grad_norm: 9.5922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4751 loss: 1.4751 2022/07/29 20:46:11 - mmengine - INFO - Epoch(train) [131][180/3757] lr: 1.7861e-03 eta: 21:49:53 time: 0.4197 data_time: 0.0201 memory: 17006 grad_norm: 9.7330 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4731 loss: 1.4731 2022/07/29 20:46:20 - mmengine - INFO - Epoch(train) [131][200/3757] lr: 1.7861e-03 eta: 21:49:46 time: 0.4341 data_time: 0.0222 memory: 17006 grad_norm: 9.6302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3473 loss: 1.3473 2022/07/29 20:46:28 - mmengine - INFO - Epoch(train) [131][220/3757] lr: 1.7861e-03 eta: 21:49:37 time: 0.4085 data_time: 0.0197 memory: 17006 grad_norm: 9.7760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4641 loss: 1.4641 2022/07/29 20:46:36 - mmengine - INFO - Epoch(train) [131][240/3757] lr: 1.7861e-03 eta: 21:49:29 time: 0.4235 data_time: 0.0222 memory: 17006 grad_norm: 9.9458 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5341 loss: 1.5341 2022/07/29 20:46:44 - mmengine - INFO - Epoch(train) [131][260/3757] lr: 1.7861e-03 eta: 21:49:19 time: 0.4050 data_time: 0.0205 memory: 17006 grad_norm: 9.6816 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4861 loss: 1.4861 2022/07/29 20:46:53 - mmengine - INFO - Epoch(train) [131][280/3757] lr: 1.7861e-03 eta: 21:49:10 time: 0.4108 data_time: 0.0195 memory: 17006 grad_norm: 9.9444 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4344 loss: 1.4344 2022/07/29 20:47:01 - mmengine - INFO - Epoch(train) [131][300/3757] lr: 1.7861e-03 eta: 21:49:02 time: 0.4138 data_time: 0.0220 memory: 17006 grad_norm: 9.5175 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5498 loss: 1.5498 2022/07/29 20:47:09 - mmengine - INFO - Epoch(train) [131][320/3757] lr: 1.7861e-03 eta: 21:48:52 time: 0.4092 data_time: 0.0198 memory: 17006 grad_norm: 9.7320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3349 loss: 1.3349 2022/07/29 20:47:18 - mmengine - INFO - Epoch(train) [131][340/3757] lr: 1.7861e-03 eta: 21:48:44 time: 0.4217 data_time: 0.0219 memory: 17006 grad_norm: 9.5013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5691 loss: 1.5691 2022/07/29 20:47:26 - mmengine - INFO - Epoch(train) [131][360/3757] lr: 1.7861e-03 eta: 21:48:35 time: 0.4096 data_time: 0.0206 memory: 17006 grad_norm: 9.6609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2006 loss: 1.2006 2022/07/29 20:47:34 - mmengine - INFO - Epoch(train) [131][380/3757] lr: 1.7861e-03 eta: 21:48:26 time: 0.4069 data_time: 0.0208 memory: 17006 grad_norm: 10.0703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4254 loss: 1.4254 2022/07/29 20:47:43 - mmengine - INFO - Epoch(train) [131][400/3757] lr: 1.7861e-03 eta: 21:48:18 time: 0.4248 data_time: 0.0212 memory: 17006 grad_norm: 9.7933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2749 loss: 1.2749 2022/07/29 20:47:51 - mmengine - INFO - Epoch(train) [131][420/3757] lr: 1.7861e-03 eta: 21:48:09 time: 0.4079 data_time: 0.0194 memory: 17006 grad_norm: 9.9139 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3575 loss: 1.3575 2022/07/29 20:47:59 - mmengine - INFO - Epoch(train) [131][440/3757] lr: 1.7861e-03 eta: 21:48:02 time: 0.4322 data_time: 0.0229 memory: 17006 grad_norm: 9.8980 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3394 loss: 1.3394 2022/07/29 20:48:08 - mmengine - INFO - Epoch(train) [131][460/3757] lr: 1.7861e-03 eta: 21:47:52 time: 0.4092 data_time: 0.0202 memory: 17006 grad_norm: 9.6797 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4456 loss: 1.4456 2022/07/29 20:48:16 - mmengine - INFO - Epoch(train) [131][480/3757] lr: 1.7861e-03 eta: 21:47:43 time: 0.4038 data_time: 0.0199 memory: 17006 grad_norm: 9.1194 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4515 loss: 1.4515 2022/07/29 20:48:24 - mmengine - INFO - Epoch(train) [131][500/3757] lr: 1.7861e-03 eta: 21:47:34 time: 0.4099 data_time: 0.0256 memory: 17006 grad_norm: 9.4813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3747 loss: 1.3747 2022/07/29 20:48:32 - mmengine - INFO - Epoch(train) [131][520/3757] lr: 1.7861e-03 eta: 21:47:25 time: 0.4053 data_time: 0.0192 memory: 17006 grad_norm: 9.9839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6401 loss: 1.6401 2022/07/29 20:48:41 - mmengine - INFO - Epoch(train) [131][540/3757] lr: 1.7861e-03 eta: 21:47:18 time: 0.4487 data_time: 0.0217 memory: 17006 grad_norm: 9.5296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5086 loss: 1.5086 2022/07/29 20:48:49 - mmengine - INFO - Epoch(train) [131][560/3757] lr: 1.7861e-03 eta: 21:47:09 time: 0.4053 data_time: 0.0201 memory: 17006 grad_norm: 9.1959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4463 loss: 1.4463 2022/07/29 20:48:58 - mmengine - INFO - Epoch(train) [131][580/3757] lr: 1.7861e-03 eta: 21:47:01 time: 0.4200 data_time: 0.0207 memory: 17006 grad_norm: 9.6962 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6683 loss: 1.6683 2022/07/29 20:49:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:49:06 - mmengine - INFO - Epoch(train) [131][600/3757] lr: 1.7861e-03 eta: 21:46:51 time: 0.4042 data_time: 0.0205 memory: 17006 grad_norm: 9.9095 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3573 loss: 1.3573 2022/07/29 20:49:14 - mmengine - INFO - Epoch(train) [131][620/3757] lr: 1.7861e-03 eta: 21:46:42 time: 0.4043 data_time: 0.0198 memory: 17006 grad_norm: 9.3208 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5354 loss: 1.5354 2022/07/29 20:49:22 - mmengine - INFO - Epoch(train) [131][640/3757] lr: 1.7861e-03 eta: 21:46:33 time: 0.4152 data_time: 0.0234 memory: 17006 grad_norm: 10.3438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7948 loss: 1.7948 2022/07/29 20:49:31 - mmengine - INFO - Epoch(train) [131][660/3757] lr: 1.7861e-03 eta: 21:46:26 time: 0.4287 data_time: 0.0209 memory: 17006 grad_norm: 9.3338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4104 loss: 1.4104 2022/07/29 20:49:39 - mmengine - INFO - Epoch(train) [131][680/3757] lr: 1.7861e-03 eta: 21:46:16 time: 0.4045 data_time: 0.0212 memory: 17006 grad_norm: 10.1398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4490 loss: 1.4490 2022/07/29 20:49:47 - mmengine - INFO - Epoch(train) [131][700/3757] lr: 1.7861e-03 eta: 21:46:09 time: 0.4273 data_time: 0.0243 memory: 17006 grad_norm: 10.1670 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7150 loss: 1.7150 2022/07/29 20:49:56 - mmengine - INFO - Epoch(train) [131][720/3757] lr: 1.7861e-03 eta: 21:45:59 time: 0.4050 data_time: 0.0203 memory: 17006 grad_norm: 10.3293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3513 loss: 1.3513 2022/07/29 20:50:04 - mmengine - INFO - Epoch(train) [131][740/3757] lr: 1.7861e-03 eta: 21:45:50 time: 0.4064 data_time: 0.0200 memory: 17006 grad_norm: 9.8657 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8387 loss: 1.8387 2022/07/29 20:50:13 - mmengine - INFO - Epoch(train) [131][760/3757] lr: 1.7861e-03 eta: 21:45:43 time: 0.4449 data_time: 0.0206 memory: 17006 grad_norm: 9.6181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6108 loss: 1.6108 2022/07/29 20:50:21 - mmengine - INFO - Epoch(train) [131][780/3757] lr: 1.7861e-03 eta: 21:45:34 time: 0.4085 data_time: 0.0208 memory: 17006 grad_norm: 9.6610 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4025 loss: 1.4025 2022/07/29 20:50:29 - mmengine - INFO - Epoch(train) [131][800/3757] lr: 1.7861e-03 eta: 21:45:26 time: 0.4157 data_time: 0.0208 memory: 17006 grad_norm: 9.5107 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4175 loss: 1.4175 2022/07/29 20:50:37 - mmengine - INFO - Epoch(train) [131][820/3757] lr: 1.7861e-03 eta: 21:45:17 time: 0.4071 data_time: 0.0206 memory: 17006 grad_norm: 9.7564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6099 loss: 1.6099 2022/07/29 20:50:45 - mmengine - INFO - Epoch(train) [131][840/3757] lr: 1.7861e-03 eta: 21:45:07 time: 0.4031 data_time: 0.0193 memory: 17006 grad_norm: 9.4480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5357 loss: 1.5357 2022/07/29 20:50:55 - mmengine - INFO - Epoch(train) [131][860/3757] lr: 1.7861e-03 eta: 21:45:01 time: 0.4528 data_time: 0.0224 memory: 17006 grad_norm: 9.5367 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4442 loss: 1.4442 2022/07/29 20:51:03 - mmengine - INFO - Epoch(train) [131][880/3757] lr: 1.7861e-03 eta: 21:44:52 time: 0.4083 data_time: 0.0208 memory: 17006 grad_norm: 9.8703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4835 loss: 1.4835 2022/07/29 20:51:12 - mmengine - INFO - Epoch(train) [131][900/3757] lr: 1.7861e-03 eta: 21:44:47 time: 0.4675 data_time: 0.0222 memory: 17006 grad_norm: 9.7330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3681 loss: 1.3681 2022/07/29 20:51:20 - mmengine - INFO - Epoch(train) [131][920/3757] lr: 1.7861e-03 eta: 21:44:38 time: 0.4048 data_time: 0.0205 memory: 17006 grad_norm: 9.6144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5850 loss: 1.5850 2022/07/29 20:51:29 - mmengine - INFO - Epoch(train) [131][940/3757] lr: 1.7861e-03 eta: 21:44:30 time: 0.4237 data_time: 0.0221 memory: 17006 grad_norm: 9.7514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4685 loss: 1.4685 2022/07/29 20:51:37 - mmengine - INFO - Epoch(train) [131][960/3757] lr: 1.7861e-03 eta: 21:44:20 time: 0.4066 data_time: 0.0215 memory: 17006 grad_norm: 9.5017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5872 loss: 1.5872 2022/07/29 20:51:45 - mmengine - INFO - Epoch(train) [131][980/3757] lr: 1.7861e-03 eta: 21:44:11 time: 0.4033 data_time: 0.0188 memory: 17006 grad_norm: 9.5662 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6775 loss: 1.6775 2022/07/29 20:51:54 - mmengine - INFO - Epoch(train) [131][1000/3757] lr: 1.7861e-03 eta: 21:44:06 time: 0.4716 data_time: 0.0216 memory: 17006 grad_norm: 9.5546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3658 loss: 1.3658 2022/07/29 20:52:03 - mmengine - INFO - Epoch(train) [131][1020/3757] lr: 1.7861e-03 eta: 21:43:57 time: 0.4054 data_time: 0.0209 memory: 17006 grad_norm: 10.0774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4995 loss: 1.4995 2022/07/29 20:52:12 - mmengine - INFO - Epoch(train) [131][1040/3757] lr: 1.7861e-03 eta: 21:43:51 time: 0.4589 data_time: 0.0229 memory: 17006 grad_norm: 9.7742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6420 loss: 1.6420 2022/07/29 20:52:20 - mmengine - INFO - Epoch(train) [131][1060/3757] lr: 1.7861e-03 eta: 21:43:42 time: 0.4048 data_time: 0.0204 memory: 17006 grad_norm: 9.8019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2553 loss: 1.2553 2022/07/29 20:52:29 - mmengine - INFO - Epoch(train) [131][1080/3757] lr: 1.7861e-03 eta: 21:43:36 time: 0.4474 data_time: 0.0231 memory: 17006 grad_norm: 9.5893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4836 loss: 1.4836 2022/07/29 20:52:37 - mmengine - INFO - Epoch(train) [131][1100/3757] lr: 1.7861e-03 eta: 21:43:26 time: 0.4051 data_time: 0.0205 memory: 17006 grad_norm: 10.2063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4646 loss: 1.4646 2022/07/29 20:52:45 - mmengine - INFO - Epoch(train) [131][1120/3757] lr: 1.7861e-03 eta: 21:43:17 time: 0.4049 data_time: 0.0199 memory: 17006 grad_norm: 10.0391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6190 loss: 1.6190 2022/07/29 20:52:54 - mmengine - INFO - Epoch(train) [131][1140/3757] lr: 1.7861e-03 eta: 21:43:09 time: 0.4221 data_time: 0.0212 memory: 17006 grad_norm: 9.2403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5248 loss: 1.5248 2022/07/29 20:53:02 - mmengine - INFO - Epoch(train) [131][1160/3757] lr: 1.7861e-03 eta: 21:43:00 time: 0.4056 data_time: 0.0218 memory: 17006 grad_norm: 10.0625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6653 loss: 1.6653 2022/07/29 20:53:10 - mmengine - INFO - Epoch(train) [131][1180/3757] lr: 1.7861e-03 eta: 21:42:51 time: 0.4140 data_time: 0.0210 memory: 17006 grad_norm: 9.6501 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4542 loss: 1.4542 2022/07/29 20:53:18 - mmengine - INFO - Epoch(train) [131][1200/3757] lr: 1.7861e-03 eta: 21:42:42 time: 0.4060 data_time: 0.0203 memory: 17006 grad_norm: 10.2089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5608 loss: 1.5608 2022/07/29 20:53:27 - mmengine - INFO - Epoch(train) [131][1220/3757] lr: 1.7861e-03 eta: 21:42:33 time: 0.4208 data_time: 0.0222 memory: 17006 grad_norm: 9.4958 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3576 loss: 1.3576 2022/07/29 20:53:35 - mmengine - INFO - Epoch(train) [131][1240/3757] lr: 1.7861e-03 eta: 21:42:24 time: 0.4046 data_time: 0.0208 memory: 17006 grad_norm: 9.8182 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5853 loss: 1.5853 2022/07/29 20:53:43 - mmengine - INFO - Epoch(train) [131][1260/3757] lr: 1.7861e-03 eta: 21:42:17 time: 0.4354 data_time: 0.0257 memory: 17006 grad_norm: 9.8277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4822 loss: 1.4822 2022/07/29 20:53:52 - mmengine - INFO - Epoch(train) [131][1280/3757] lr: 1.7861e-03 eta: 21:42:07 time: 0.4037 data_time: 0.0205 memory: 17006 grad_norm: 9.9604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4700 loss: 1.4700 2022/07/29 20:54:00 - mmengine - INFO - Epoch(train) [131][1300/3757] lr: 1.7861e-03 eta: 21:42:00 time: 0.4292 data_time: 0.0218 memory: 17006 grad_norm: 9.9478 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5865 loss: 1.5865 2022/07/29 20:54:08 - mmengine - INFO - Epoch(train) [131][1320/3757] lr: 1.7861e-03 eta: 21:41:50 time: 0.4046 data_time: 0.0206 memory: 17006 grad_norm: 9.4035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4066 loss: 1.4066 2022/07/29 20:54:16 - mmengine - INFO - Epoch(train) [131][1340/3757] lr: 1.7861e-03 eta: 21:41:41 time: 0.4032 data_time: 0.0201 memory: 17006 grad_norm: 9.9887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6351 loss: 1.6351 2022/07/29 20:54:26 - mmengine - INFO - Epoch(train) [131][1360/3757] lr: 1.7861e-03 eta: 21:41:36 time: 0.4697 data_time: 0.0318 memory: 17006 grad_norm: 10.0156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5876 loss: 1.5876 2022/07/29 20:54:34 - mmengine - INFO - Epoch(train) [131][1380/3757] lr: 1.7861e-03 eta: 21:41:27 time: 0.4061 data_time: 0.0211 memory: 17006 grad_norm: 9.5231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5682 loss: 1.5682 2022/07/29 20:54:43 - mmengine - INFO - Epoch(train) [131][1400/3757] lr: 1.7861e-03 eta: 21:41:19 time: 0.4333 data_time: 0.0222 memory: 17006 grad_norm: 9.5113 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4838 loss: 1.4838 2022/07/29 20:54:51 - mmengine - INFO - Epoch(train) [131][1420/3757] lr: 1.7861e-03 eta: 21:41:10 time: 0.4058 data_time: 0.0201 memory: 17006 grad_norm: 9.6773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8000 loss: 1.8000 2022/07/29 20:55:00 - mmengine - INFO - Epoch(train) [131][1440/3757] lr: 1.7861e-03 eta: 21:41:06 time: 0.4816 data_time: 0.0300 memory: 17006 grad_norm: 9.6386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4054 loss: 1.4054 2022/07/29 20:55:09 - mmengine - INFO - Epoch(train) [131][1460/3757] lr: 1.7861e-03 eta: 21:40:57 time: 0.4068 data_time: 0.0201 memory: 17006 grad_norm: 9.5270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3933 loss: 1.3933 2022/07/29 20:55:17 - mmengine - INFO - Epoch(train) [131][1480/3757] lr: 1.7861e-03 eta: 21:40:48 time: 0.4051 data_time: 0.0210 memory: 17006 grad_norm: 9.6216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6305 loss: 1.6305 2022/07/29 20:55:25 - mmengine - INFO - Epoch(train) [131][1500/3757] lr: 1.7861e-03 eta: 21:40:40 time: 0.4298 data_time: 0.0194 memory: 17006 grad_norm: 9.6980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3643 loss: 1.3643 2022/07/29 20:55:34 - mmengine - INFO - Epoch(train) [131][1520/3757] lr: 1.7861e-03 eta: 21:40:32 time: 0.4237 data_time: 0.0228 memory: 17006 grad_norm: 9.5410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6115 loss: 1.6115 2022/07/29 20:55:42 - mmengine - INFO - Epoch(train) [131][1540/3757] lr: 1.7861e-03 eta: 21:40:23 time: 0.4121 data_time: 0.0193 memory: 17006 grad_norm: 10.0280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6872 loss: 1.6872 2022/07/29 20:55:51 - mmengine - INFO - Epoch(train) [131][1560/3757] lr: 1.7861e-03 eta: 21:40:15 time: 0.4249 data_time: 0.0210 memory: 17006 grad_norm: 9.6509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3639 loss: 1.3639 2022/07/29 20:55:59 - mmengine - INFO - Epoch(train) [131][1580/3757] lr: 1.7861e-03 eta: 21:40:08 time: 0.4315 data_time: 0.0200 memory: 17006 grad_norm: 9.6895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3949 loss: 1.3949 2022/07/29 20:56:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 20:56:08 - mmengine - INFO - Epoch(train) [131][1600/3757] lr: 1.7861e-03 eta: 21:40:00 time: 0.4299 data_time: 0.0259 memory: 17006 grad_norm: 10.2231 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3651 loss: 1.3651 2022/07/29 20:56:16 - mmengine - INFO - Epoch(train) [131][1620/3757] lr: 1.7861e-03 eta: 21:39:51 time: 0.4036 data_time: 0.0207 memory: 17006 grad_norm: 9.9637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7311 loss: 1.7311 2022/07/29 20:56:24 - mmengine - INFO - Epoch(train) [131][1640/3757] lr: 1.7861e-03 eta: 21:39:41 time: 0.4063 data_time: 0.0202 memory: 17006 grad_norm: 10.2429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6392 loss: 1.6392 2022/07/29 20:56:33 - mmengine - INFO - Epoch(train) [131][1660/3757] lr: 1.7861e-03 eta: 21:39:36 time: 0.4646 data_time: 0.0215 memory: 17006 grad_norm: 10.4574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6303 loss: 1.6303 2022/07/29 20:56:41 - mmengine - INFO - Epoch(train) [131][1680/3757] lr: 1.7861e-03 eta: 21:39:27 time: 0.4045 data_time: 0.0204 memory: 17006 grad_norm: 9.9319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4659 loss: 1.4659 2022/07/29 20:56:50 - mmengine - INFO - Epoch(train) [131][1700/3757] lr: 1.7861e-03 eta: 21:39:19 time: 0.4222 data_time: 0.0242 memory: 17006 grad_norm: 9.6339 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4024 loss: 1.4024 2022/07/29 20:56:58 - mmengine - INFO - Epoch(train) [131][1720/3757] lr: 1.7861e-03 eta: 21:39:10 time: 0.4081 data_time: 0.0207 memory: 17006 grad_norm: 9.6580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4642 loss: 1.4642 2022/07/29 20:57:06 - mmengine - INFO - Epoch(train) [131][1740/3757] lr: 1.7861e-03 eta: 21:39:00 time: 0.4031 data_time: 0.0198 memory: 17006 grad_norm: 10.1073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4096 loss: 1.4096 2022/07/29 20:57:15 - mmengine - INFO - Epoch(train) [131][1760/3757] lr: 1.7861e-03 eta: 21:38:54 time: 0.4570 data_time: 0.0227 memory: 17006 grad_norm: 9.4614 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3967 loss: 1.3967 2022/07/29 20:57:24 - mmengine - INFO - Epoch(train) [131][1780/3757] lr: 1.7861e-03 eta: 21:38:46 time: 0.4158 data_time: 0.0214 memory: 17006 grad_norm: 10.0869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8013 loss: 1.8013 2022/07/29 20:57:32 - mmengine - INFO - Epoch(train) [131][1800/3757] lr: 1.7861e-03 eta: 21:38:37 time: 0.4155 data_time: 0.0224 memory: 17006 grad_norm: 10.1559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4610 loss: 1.4610 2022/07/29 20:57:40 - mmengine - INFO - Epoch(train) [131][1820/3757] lr: 1.7861e-03 eta: 21:38:29 time: 0.4176 data_time: 0.0200 memory: 17006 grad_norm: 10.0571 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0509 loss: 2.0509 2022/07/29 20:57:49 - mmengine - INFO - Epoch(train) [131][1840/3757] lr: 1.7861e-03 eta: 21:38:20 time: 0.4202 data_time: 0.0220 memory: 17006 grad_norm: 9.8530 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2433 loss: 1.2433 2022/07/29 20:57:57 - mmengine - INFO - Epoch(train) [131][1860/3757] lr: 1.7861e-03 eta: 21:38:12 time: 0.4182 data_time: 0.0205 memory: 17006 grad_norm: 9.9116 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2613 loss: 1.2613 2022/07/29 20:58:05 - mmengine - INFO - Epoch(train) [131][1880/3757] lr: 1.7861e-03 eta: 21:38:03 time: 0.4067 data_time: 0.0187 memory: 17006 grad_norm: 9.7888 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4911 loss: 1.4911 2022/07/29 20:58:14 - mmengine - INFO - Epoch(train) [131][1900/3757] lr: 1.7861e-03 eta: 21:37:55 time: 0.4245 data_time: 0.0218 memory: 17006 grad_norm: 9.8933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3533 loss: 1.3533 2022/07/29 20:58:22 - mmengine - INFO - Epoch(train) [131][1920/3757] lr: 1.7861e-03 eta: 21:37:45 time: 0.4043 data_time: 0.0209 memory: 17006 grad_norm: 9.9406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5996 loss: 1.5996 2022/07/29 20:58:31 - mmengine - INFO - Epoch(train) [131][1940/3757] lr: 1.7861e-03 eta: 21:37:38 time: 0.4291 data_time: 0.0217 memory: 17006 grad_norm: 10.1034 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5613 loss: 1.5613 2022/07/29 20:58:39 - mmengine - INFO - Epoch(train) [131][1960/3757] lr: 1.7861e-03 eta: 21:37:28 time: 0.4021 data_time: 0.0193 memory: 17006 grad_norm: 9.9229 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5879 loss: 1.5879 2022/07/29 20:58:47 - mmengine - INFO - Epoch(train) [131][1980/3757] lr: 1.7861e-03 eta: 21:37:20 time: 0.4174 data_time: 0.0205 memory: 17006 grad_norm: 9.6177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2677 loss: 1.2677 2022/07/29 20:58:56 - mmengine - INFO - Epoch(train) [131][2000/3757] lr: 1.7861e-03 eta: 21:37:13 time: 0.4415 data_time: 0.0205 memory: 17006 grad_norm: 9.5997 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5775 loss: 1.5775 2022/07/29 20:59:04 - mmengine - INFO - Epoch(train) [131][2020/3757] lr: 1.7861e-03 eta: 21:37:04 time: 0.4058 data_time: 0.0205 memory: 17006 grad_norm: 9.8325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2791 loss: 1.2791 2022/07/29 20:59:13 - mmengine - INFO - Epoch(train) [131][2040/3757] lr: 1.7861e-03 eta: 21:36:56 time: 0.4307 data_time: 0.0217 memory: 17006 grad_norm: 9.8159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4537 loss: 1.4537 2022/07/29 20:59:21 - mmengine - INFO - Epoch(train) [131][2060/3757] lr: 1.7861e-03 eta: 21:36:47 time: 0.4059 data_time: 0.0208 memory: 17006 grad_norm: 9.8136 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5029 loss: 1.5029 2022/07/29 20:59:29 - mmengine - INFO - Epoch(train) [131][2080/3757] lr: 1.7861e-03 eta: 21:36:39 time: 0.4254 data_time: 0.0228 memory: 17006 grad_norm: 9.4852 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2484 loss: 1.2484 2022/07/29 20:59:37 - mmengine - INFO - Epoch(train) [131][2100/3757] lr: 1.7861e-03 eta: 21:36:30 time: 0.4051 data_time: 0.0206 memory: 17006 grad_norm: 9.5942 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4175 loss: 1.4175 2022/07/29 20:59:46 - mmengine - INFO - Epoch(train) [131][2120/3757] lr: 1.7861e-03 eta: 21:36:20 time: 0.4033 data_time: 0.0197 memory: 17006 grad_norm: 9.5770 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5458 loss: 1.5458 2022/07/29 20:59:54 - mmengine - INFO - Epoch(train) [131][2140/3757] lr: 1.7861e-03 eta: 21:36:12 time: 0.4188 data_time: 0.0218 memory: 17006 grad_norm: 9.8871 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3914 loss: 1.3914 2022/07/29 21:00:02 - mmengine - INFO - Epoch(train) [131][2160/3757] lr: 1.7861e-03 eta: 21:36:03 time: 0.4061 data_time: 0.0211 memory: 17006 grad_norm: 10.2279 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6321 loss: 1.6321 2022/07/29 21:00:11 - mmengine - INFO - Epoch(train) [131][2180/3757] lr: 1.7861e-03 eta: 21:35:56 time: 0.4417 data_time: 0.0216 memory: 17006 grad_norm: 9.8119 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6622 loss: 1.6622 2022/07/29 21:00:19 - mmengine - INFO - Epoch(train) [131][2200/3757] lr: 1.7861e-03 eta: 21:35:47 time: 0.4052 data_time: 0.0208 memory: 17006 grad_norm: 10.0337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3915 loss: 1.3915 2022/07/29 21:00:28 - mmengine - INFO - Epoch(train) [131][2220/3757] lr: 1.7861e-03 eta: 21:35:38 time: 0.4182 data_time: 0.0209 memory: 17006 grad_norm: 9.6299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4527 loss: 1.4527 2022/07/29 21:00:36 - mmengine - INFO - Epoch(train) [131][2240/3757] lr: 1.7861e-03 eta: 21:35:29 time: 0.4037 data_time: 0.0188 memory: 17006 grad_norm: 9.6210 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7359 loss: 1.7359 2022/07/29 21:00:44 - mmengine - INFO - Epoch(train) [131][2260/3757] lr: 1.7861e-03 eta: 21:35:20 time: 0.4127 data_time: 0.0215 memory: 17006 grad_norm: 9.9755 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3491 loss: 1.3491 2022/07/29 21:00:52 - mmengine - INFO - Epoch(train) [131][2280/3757] lr: 1.7861e-03 eta: 21:35:12 time: 0.4252 data_time: 0.0225 memory: 17006 grad_norm: 9.6941 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5388 loss: 1.5388 2022/07/29 21:01:01 - mmengine - INFO - Epoch(train) [131][2300/3757] lr: 1.7861e-03 eta: 21:35:03 time: 0.4139 data_time: 0.0194 memory: 17006 grad_norm: 9.6101 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3892 loss: 1.3892 2022/07/29 21:01:09 - mmengine - INFO - Epoch(train) [131][2320/3757] lr: 1.7861e-03 eta: 21:34:55 time: 0.4204 data_time: 0.0224 memory: 17006 grad_norm: 9.4635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5717 loss: 1.5717 2022/07/29 21:01:17 - mmengine - INFO - Epoch(train) [131][2340/3757] lr: 1.7861e-03 eta: 21:34:46 time: 0.4034 data_time: 0.0196 memory: 17006 grad_norm: 9.7445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4614 loss: 1.4614 2022/07/29 21:01:25 - mmengine - INFO - Epoch(train) [131][2360/3757] lr: 1.7861e-03 eta: 21:34:36 time: 0.4043 data_time: 0.0208 memory: 17006 grad_norm: 9.9055 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5556 loss: 1.5556 2022/07/29 21:01:34 - mmengine - INFO - Epoch(train) [131][2380/3757] lr: 1.7861e-03 eta: 21:34:28 time: 0.4228 data_time: 0.0209 memory: 17006 grad_norm: 9.4746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6335 loss: 1.6335 2022/07/29 21:01:42 - mmengine - INFO - Epoch(train) [131][2400/3757] lr: 1.7861e-03 eta: 21:34:19 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 10.2046 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6950 loss: 1.6950 2022/07/29 21:01:51 - mmengine - INFO - Epoch(train) [131][2420/3757] lr: 1.7861e-03 eta: 21:34:11 time: 0.4273 data_time: 0.0235 memory: 17006 grad_norm: 9.9300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4758 loss: 1.4758 2022/07/29 21:01:59 - mmengine - INFO - Epoch(train) [131][2440/3757] lr: 1.7861e-03 eta: 21:34:02 time: 0.4036 data_time: 0.0201 memory: 17006 grad_norm: 9.2089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2044 loss: 1.2044 2022/07/29 21:02:07 - mmengine - INFO - Epoch(train) [131][2460/3757] lr: 1.7861e-03 eta: 21:33:52 time: 0.4037 data_time: 0.0199 memory: 17006 grad_norm: 9.8950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4021 loss: 1.4021 2022/07/29 21:02:15 - mmengine - INFO - Epoch(train) [131][2480/3757] lr: 1.7861e-03 eta: 21:33:44 time: 0.4204 data_time: 0.0212 memory: 17006 grad_norm: 10.3985 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6424 loss: 1.6424 2022/07/29 21:02:23 - mmengine - INFO - Epoch(train) [131][2500/3757] lr: 1.7861e-03 eta: 21:33:35 time: 0.4055 data_time: 0.0210 memory: 17006 grad_norm: 9.8308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5969 loss: 1.5969 2022/07/29 21:02:32 - mmengine - INFO - Epoch(train) [131][2520/3757] lr: 1.7861e-03 eta: 21:33:27 time: 0.4209 data_time: 0.0219 memory: 17006 grad_norm: 9.9136 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4989 loss: 1.4989 2022/07/29 21:02:40 - mmengine - INFO - Epoch(train) [131][2540/3757] lr: 1.7861e-03 eta: 21:33:18 time: 0.4108 data_time: 0.0215 memory: 17006 grad_norm: 9.6734 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4510 loss: 1.4510 2022/07/29 21:02:48 - mmengine - INFO - Epoch(train) [131][2560/3757] lr: 1.7861e-03 eta: 21:33:09 time: 0.4170 data_time: 0.0226 memory: 17006 grad_norm: 9.6834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4339 loss: 1.4339 2022/07/29 21:02:56 - mmengine - INFO - Epoch(train) [131][2580/3757] lr: 1.7861e-03 eta: 21:33:00 time: 0.4039 data_time: 0.0201 memory: 17006 grad_norm: 9.4694 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6299 loss: 1.6299 2022/07/29 21:03:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:03:05 - mmengine - INFO - Epoch(train) [131][2600/3757] lr: 1.7861e-03 eta: 21:32:53 time: 0.4416 data_time: 0.0230 memory: 17006 grad_norm: 9.4136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5440 loss: 1.5440 2022/07/29 21:03:13 - mmengine - INFO - Epoch(train) [131][2620/3757] lr: 1.7861e-03 eta: 21:32:44 time: 0.4047 data_time: 0.0206 memory: 17006 grad_norm: 10.1745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8345 loss: 1.8345 2022/07/29 21:03:23 - mmengine - INFO - Epoch(train) [131][2640/3757] lr: 1.7861e-03 eta: 21:32:38 time: 0.4566 data_time: 0.0227 memory: 17006 grad_norm: 9.8983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4234 loss: 1.4234 2022/07/29 21:03:31 - mmengine - INFO - Epoch(train) [131][2660/3757] lr: 1.7861e-03 eta: 21:32:28 time: 0.4030 data_time: 0.0202 memory: 17006 grad_norm: 9.6546 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2065 loss: 1.2065 2022/07/29 21:03:40 - mmengine - INFO - Epoch(train) [131][2680/3757] lr: 1.7861e-03 eta: 21:32:23 time: 0.4590 data_time: 0.0214 memory: 17006 grad_norm: 9.6412 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4492 loss: 1.4492 2022/07/29 21:03:48 - mmengine - INFO - Epoch(train) [131][2700/3757] lr: 1.7861e-03 eta: 21:32:13 time: 0.4023 data_time: 0.0201 memory: 17006 grad_norm: 9.6761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4648 loss: 1.4648 2022/07/29 21:03:56 - mmengine - INFO - Epoch(train) [131][2720/3757] lr: 1.7861e-03 eta: 21:32:04 time: 0.4032 data_time: 0.0207 memory: 17006 grad_norm: 9.7210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3357 loss: 1.3357 2022/07/29 21:04:05 - mmengine - INFO - Epoch(train) [131][2740/3757] lr: 1.7861e-03 eta: 21:31:56 time: 0.4328 data_time: 0.0215 memory: 17006 grad_norm: 9.6518 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5605 loss: 1.5605 2022/07/29 21:04:13 - mmengine - INFO - Epoch(train) [131][2760/3757] lr: 1.7861e-03 eta: 21:31:48 time: 0.4141 data_time: 0.0213 memory: 17006 grad_norm: 10.0317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6936 loss: 1.6936 2022/07/29 21:04:22 - mmengine - INFO - Epoch(train) [131][2780/3757] lr: 1.7861e-03 eta: 21:31:41 time: 0.4355 data_time: 0.0211 memory: 17006 grad_norm: 9.5727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5125 loss: 1.5125 2022/07/29 21:04:30 - mmengine - INFO - Epoch(train) [131][2800/3757] lr: 1.7861e-03 eta: 21:31:32 time: 0.4212 data_time: 0.0217 memory: 17006 grad_norm: 9.5117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4875 loss: 1.4875 2022/07/29 21:04:39 - mmengine - INFO - Epoch(train) [131][2820/3757] lr: 1.7861e-03 eta: 21:31:24 time: 0.4135 data_time: 0.0214 memory: 17006 grad_norm: 9.9108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4742 loss: 1.4742 2022/07/29 21:04:47 - mmengine - INFO - Epoch(train) [131][2840/3757] lr: 1.7861e-03 eta: 21:31:14 time: 0.4043 data_time: 0.0200 memory: 17006 grad_norm: 9.7219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4080 loss: 1.4080 2022/07/29 21:04:55 - mmengine - INFO - Epoch(train) [131][2860/3757] lr: 1.7861e-03 eta: 21:31:07 time: 0.4289 data_time: 0.0205 memory: 17006 grad_norm: 9.7606 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8971 loss: 1.8971 2022/07/29 21:05:04 - mmengine - INFO - Epoch(train) [131][2880/3757] lr: 1.7861e-03 eta: 21:30:58 time: 0.4172 data_time: 0.0221 memory: 17006 grad_norm: 10.0715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6474 loss: 1.6474 2022/07/29 21:05:12 - mmengine - INFO - Epoch(train) [131][2900/3757] lr: 1.7861e-03 eta: 21:30:51 time: 0.4339 data_time: 0.0202 memory: 17006 grad_norm: 9.5118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6927 loss: 1.6927 2022/07/29 21:05:21 - mmengine - INFO - Epoch(train) [131][2920/3757] lr: 1.7861e-03 eta: 21:30:42 time: 0.4152 data_time: 0.0223 memory: 17006 grad_norm: 10.3266 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6921 loss: 1.6921 2022/07/29 21:05:29 - mmengine - INFO - Epoch(train) [131][2940/3757] lr: 1.7861e-03 eta: 21:30:33 time: 0.4080 data_time: 0.0219 memory: 17006 grad_norm: 9.5656 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5403 loss: 1.5403 2022/07/29 21:05:37 - mmengine - INFO - Epoch(train) [131][2960/3757] lr: 1.7861e-03 eta: 21:30:24 time: 0.4045 data_time: 0.0211 memory: 17006 grad_norm: 9.6496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3322 loss: 1.3322 2022/07/29 21:05:46 - mmengine - INFO - Epoch(train) [131][2980/3757] lr: 1.7861e-03 eta: 21:30:16 time: 0.4339 data_time: 0.0220 memory: 17006 grad_norm: 10.1424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6413 loss: 1.6413 2022/07/29 21:05:54 - mmengine - INFO - Epoch(train) [131][3000/3757] lr: 1.7861e-03 eta: 21:30:07 time: 0.4118 data_time: 0.0201 memory: 17006 grad_norm: 9.2344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7092 loss: 1.7092 2022/07/29 21:06:02 - mmengine - INFO - Epoch(train) [131][3020/3757] lr: 1.7861e-03 eta: 21:30:00 time: 0.4274 data_time: 0.0228 memory: 17006 grad_norm: 9.4714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6006 loss: 1.6006 2022/07/29 21:06:11 - mmengine - INFO - Epoch(train) [131][3040/3757] lr: 1.7861e-03 eta: 21:29:50 time: 0.4065 data_time: 0.0214 memory: 17006 grad_norm: 9.3220 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6548 loss: 1.6548 2022/07/29 21:06:20 - mmengine - INFO - Epoch(train) [131][3060/3757] lr: 1.7861e-03 eta: 21:29:46 time: 0.4779 data_time: 0.0233 memory: 17006 grad_norm: 9.2766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3880 loss: 1.3880 2022/07/29 21:06:28 - mmengine - INFO - Epoch(train) [131][3080/3757] lr: 1.7861e-03 eta: 21:29:37 time: 0.4034 data_time: 0.0202 memory: 17006 grad_norm: 9.9163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4907 loss: 1.4907 2022/07/29 21:06:36 - mmengine - INFO - Epoch(train) [131][3100/3757] lr: 1.7861e-03 eta: 21:29:27 time: 0.4047 data_time: 0.0202 memory: 17006 grad_norm: 10.0358 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4590 loss: 1.4590 2022/07/29 21:06:45 - mmengine - INFO - Epoch(train) [131][3120/3757] lr: 1.7861e-03 eta: 21:29:18 time: 0.4119 data_time: 0.0218 memory: 17006 grad_norm: 9.6458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4456 loss: 1.4456 2022/07/29 21:06:53 - mmengine - INFO - Epoch(train) [131][3140/3757] lr: 1.7861e-03 eta: 21:29:10 time: 0.4134 data_time: 0.0219 memory: 17006 grad_norm: 9.7639 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6493 loss: 1.6493 2022/07/29 21:07:01 - mmengine - INFO - Epoch(train) [131][3160/3757] lr: 1.7861e-03 eta: 21:29:02 time: 0.4251 data_time: 0.0206 memory: 17006 grad_norm: 10.0094 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6474 loss: 1.6474 2022/07/29 21:07:10 - mmengine - INFO - Epoch(train) [131][3180/3757] lr: 1.7861e-03 eta: 21:28:53 time: 0.4063 data_time: 0.0209 memory: 17006 grad_norm: 9.5040 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4264 loss: 1.4264 2022/07/29 21:07:19 - mmengine - INFO - Epoch(train) [131][3200/3757] lr: 1.7861e-03 eta: 21:28:47 time: 0.4629 data_time: 0.0658 memory: 17006 grad_norm: 10.3181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5377 loss: 1.5377 2022/07/29 21:07:27 - mmengine - INFO - Epoch(train) [131][3220/3757] lr: 1.7861e-03 eta: 21:28:38 time: 0.4016 data_time: 0.0162 memory: 17006 grad_norm: 9.6818 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5489 loss: 1.5489 2022/07/29 21:07:35 - mmengine - INFO - Epoch(train) [131][3240/3757] lr: 1.7861e-03 eta: 21:28:28 time: 0.4066 data_time: 0.0209 memory: 17006 grad_norm: 9.6370 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5119 loss: 1.5119 2022/07/29 21:07:44 - mmengine - INFO - Epoch(train) [131][3260/3757] lr: 1.7861e-03 eta: 21:28:21 time: 0.4273 data_time: 0.0220 memory: 17006 grad_norm: 9.7967 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/07/29 21:07:52 - mmengine - INFO - Epoch(train) [131][3280/3757] lr: 1.7861e-03 eta: 21:28:12 time: 0.4092 data_time: 0.0211 memory: 17006 grad_norm: 9.4275 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4017 loss: 1.4017 2022/07/29 21:08:01 - mmengine - INFO - Epoch(train) [131][3300/3757] lr: 1.7861e-03 eta: 21:28:04 time: 0.4315 data_time: 0.0209 memory: 17006 grad_norm: 9.5987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2924 loss: 1.2924 2022/07/29 21:08:09 - mmengine - INFO - Epoch(train) [131][3320/3757] lr: 1.7861e-03 eta: 21:27:55 time: 0.4057 data_time: 0.0199 memory: 17006 grad_norm: 9.5276 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4119 loss: 1.4119 2022/07/29 21:08:17 - mmengine - INFO - Epoch(train) [131][3340/3757] lr: 1.7861e-03 eta: 21:27:46 time: 0.4047 data_time: 0.0198 memory: 17006 grad_norm: 10.1396 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6298 loss: 1.6298 2022/07/29 21:08:25 - mmengine - INFO - Epoch(train) [131][3360/3757] lr: 1.7861e-03 eta: 21:27:37 time: 0.4233 data_time: 0.0230 memory: 17006 grad_norm: 10.0992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5915 loss: 1.5915 2022/07/29 21:08:33 - mmengine - INFO - Epoch(train) [131][3380/3757] lr: 1.7861e-03 eta: 21:27:28 time: 0.4055 data_time: 0.0215 memory: 17006 grad_norm: 10.0161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7418 loss: 1.7418 2022/07/29 21:08:43 - mmengine - INFO - Epoch(train) [131][3400/3757] lr: 1.7861e-03 eta: 21:27:22 time: 0.4538 data_time: 0.0234 memory: 17006 grad_norm: 9.6925 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7107 loss: 1.7107 2022/07/29 21:08:51 - mmengine - INFO - Epoch(train) [131][3420/3757] lr: 1.7861e-03 eta: 21:27:13 time: 0.4027 data_time: 0.0203 memory: 17006 grad_norm: 10.1387 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3373 loss: 1.3373 2022/07/29 21:08:59 - mmengine - INFO - Epoch(train) [131][3440/3757] lr: 1.7861e-03 eta: 21:27:06 time: 0.4383 data_time: 0.0225 memory: 17006 grad_norm: 9.9951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4537 loss: 1.4537 2022/07/29 21:09:07 - mmengine - INFO - Epoch(train) [131][3460/3757] lr: 1.7861e-03 eta: 21:26:56 time: 0.4034 data_time: 0.0206 memory: 17006 grad_norm: 9.6290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/07/29 21:09:16 - mmengine - INFO - Epoch(train) [131][3480/3757] lr: 1.7861e-03 eta: 21:26:47 time: 0.4039 data_time: 0.0197 memory: 17006 grad_norm: 10.1292 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6828 loss: 1.6828 2022/07/29 21:09:24 - mmengine - INFO - Epoch(train) [131][3500/3757] lr: 1.7861e-03 eta: 21:26:40 time: 0.4389 data_time: 0.0231 memory: 17006 grad_norm: 9.1799 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3166 loss: 1.3166 2022/07/29 21:09:33 - mmengine - INFO - Epoch(train) [131][3520/3757] lr: 1.7861e-03 eta: 21:26:31 time: 0.4075 data_time: 0.0210 memory: 17006 grad_norm: 10.0242 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4446 loss: 1.4446 2022/07/29 21:09:42 - mmengine - INFO - Epoch(train) [131][3540/3757] lr: 1.7861e-03 eta: 21:26:25 time: 0.4575 data_time: 0.0217 memory: 17006 grad_norm: 10.0506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5865 loss: 1.5865 2022/07/29 21:09:50 - mmengine - INFO - Epoch(train) [131][3560/3757] lr: 1.7861e-03 eta: 21:26:16 time: 0.4058 data_time: 0.0199 memory: 17006 grad_norm: 9.6933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5855 loss: 1.5855 2022/07/29 21:09:58 - mmengine - INFO - Epoch(train) [131][3580/3757] lr: 1.7861e-03 eta: 21:26:07 time: 0.4128 data_time: 0.0207 memory: 17006 grad_norm: 10.3913 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/07/29 21:10:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:10:07 - mmengine - INFO - Epoch(train) [131][3600/3757] lr: 1.7861e-03 eta: 21:26:00 time: 0.4481 data_time: 0.0197 memory: 17006 grad_norm: 9.8558 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4936 loss: 1.4936 2022/07/29 21:10:15 - mmengine - INFO - Epoch(train) [131][3620/3757] lr: 1.7861e-03 eta: 21:25:51 time: 0.4034 data_time: 0.0199 memory: 17006 grad_norm: 9.8841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4991 loss: 1.4991 2022/07/29 21:10:24 - mmengine - INFO - Epoch(train) [131][3640/3757] lr: 1.7861e-03 eta: 21:25:43 time: 0.4178 data_time: 0.0214 memory: 17006 grad_norm: 9.9460 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.6429 loss: 1.6429 2022/07/29 21:10:32 - mmengine - INFO - Epoch(train) [131][3660/3757] lr: 1.7861e-03 eta: 21:25:35 time: 0.4279 data_time: 0.0216 memory: 17006 grad_norm: 9.9500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2384 loss: 1.2384 2022/07/29 21:10:41 - mmengine - INFO - Epoch(train) [131][3680/3757] lr: 1.7861e-03 eta: 21:25:27 time: 0.4195 data_time: 0.0214 memory: 17006 grad_norm: 10.2556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7055 loss: 1.7055 2022/07/29 21:10:49 - mmengine - INFO - Epoch(train) [131][3700/3757] lr: 1.7861e-03 eta: 21:25:17 time: 0.4065 data_time: 0.0217 memory: 17006 grad_norm: 9.9413 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7814 loss: 1.7814 2022/07/29 21:10:57 - mmengine - INFO - Epoch(train) [131][3720/3757] lr: 1.7861e-03 eta: 21:25:08 time: 0.4054 data_time: 0.0207 memory: 17006 grad_norm: 9.7248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5633 loss: 1.5633 2022/07/29 21:11:05 - mmengine - INFO - Epoch(train) [131][3740/3757] lr: 1.7861e-03 eta: 21:25:00 time: 0.4170 data_time: 0.0206 memory: 17006 grad_norm: 9.9599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6338 loss: 1.6338 2022/07/29 21:11:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:11:12 - mmengine - INFO - Epoch(train) [131][3757/3757] lr: 1.7861e-03 eta: 21:25:00 time: 0.4204 data_time: 0.0224 memory: 17006 grad_norm: 9.8728 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5086 loss: 1.5086 2022/07/29 21:11:13 - mmengine - INFO - Saving checkpoint at 131 epochs 2022/07/29 21:11:25 - mmengine - INFO - Epoch(train) [132][20/3757] lr: 1.7197e-03 eta: 21:24:23 time: 0.4545 data_time: 0.0664 memory: 17006 grad_norm: 9.4888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3095 loss: 1.3095 2022/07/29 21:11:34 - mmengine - INFO - Epoch(train) [132][40/3757] lr: 1.7197e-03 eta: 21:24:17 time: 0.4484 data_time: 0.0259 memory: 17006 grad_norm: 9.6605 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5257 loss: 1.5257 2022/07/29 21:11:42 - mmengine - INFO - Epoch(train) [132][60/3757] lr: 1.7197e-03 eta: 21:24:07 time: 0.4031 data_time: 0.0195 memory: 17006 grad_norm: 9.0785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3012 loss: 1.3012 2022/07/29 21:11:51 - mmengine - INFO - Epoch(train) [132][80/3757] lr: 1.7197e-03 eta: 21:24:01 time: 0.4488 data_time: 0.0220 memory: 17006 grad_norm: 9.3785 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6319 loss: 1.6319 2022/07/29 21:11:59 - mmengine - INFO - Epoch(train) [132][100/3757] lr: 1.7197e-03 eta: 21:23:52 time: 0.4053 data_time: 0.0217 memory: 17006 grad_norm: 9.5162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3321 loss: 1.3321 2022/07/29 21:12:07 - mmengine - INFO - Epoch(train) [132][120/3757] lr: 1.7197e-03 eta: 21:23:42 time: 0.4037 data_time: 0.0209 memory: 17006 grad_norm: 9.9790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3785 loss: 1.3785 2022/07/29 21:12:17 - mmengine - INFO - Epoch(train) [132][140/3757] lr: 1.7197e-03 eta: 21:23:39 time: 0.4967 data_time: 0.0211 memory: 17006 grad_norm: 10.3987 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7946 loss: 1.7946 2022/07/29 21:12:25 - mmengine - INFO - Epoch(train) [132][160/3757] lr: 1.7197e-03 eta: 21:23:30 time: 0.4054 data_time: 0.0209 memory: 17006 grad_norm: 9.6921 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5481 loss: 1.5481 2022/07/29 21:12:33 - mmengine - INFO - Epoch(train) [132][180/3757] lr: 1.7197e-03 eta: 21:23:21 time: 0.4130 data_time: 0.0209 memory: 17006 grad_norm: 9.9329 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4966 loss: 1.4966 2022/07/29 21:12:43 - mmengine - INFO - Epoch(train) [132][200/3757] lr: 1.7197e-03 eta: 21:23:15 time: 0.4596 data_time: 0.0217 memory: 17006 grad_norm: 9.6976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6978 loss: 1.6978 2022/07/29 21:12:51 - mmengine - INFO - Epoch(train) [132][220/3757] lr: 1.7197e-03 eta: 21:23:07 time: 0.4153 data_time: 0.0209 memory: 17006 grad_norm: 9.8622 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.4345 loss: 1.4345 2022/07/29 21:12:59 - mmengine - INFO - Epoch(train) [132][240/3757] lr: 1.7197e-03 eta: 21:22:58 time: 0.4053 data_time: 0.0213 memory: 17006 grad_norm: 9.8408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2207 loss: 1.2207 2022/07/29 21:13:07 - mmengine - INFO - Epoch(train) [132][260/3757] lr: 1.7197e-03 eta: 21:22:48 time: 0.4035 data_time: 0.0197 memory: 17006 grad_norm: 9.4990 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3904 loss: 1.3904 2022/07/29 21:13:16 - mmengine - INFO - Epoch(train) [132][280/3757] lr: 1.7197e-03 eta: 21:22:40 time: 0.4167 data_time: 0.0219 memory: 17006 grad_norm: 9.4778 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6188 loss: 1.6188 2022/07/29 21:13:25 - mmengine - INFO - Epoch(train) [132][300/3757] lr: 1.7197e-03 eta: 21:22:33 time: 0.4502 data_time: 0.0217 memory: 17006 grad_norm: 10.1729 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6107 loss: 1.6107 2022/07/29 21:13:33 - mmengine - INFO - Epoch(train) [132][320/3757] lr: 1.7197e-03 eta: 21:22:25 time: 0.4177 data_time: 0.0232 memory: 17006 grad_norm: 9.9695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7391 loss: 1.7391 2022/07/29 21:13:42 - mmengine - INFO - Epoch(train) [132][340/3757] lr: 1.7197e-03 eta: 21:22:18 time: 0.4469 data_time: 0.0194 memory: 17006 grad_norm: 9.9908 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7445 loss: 1.7445 2022/07/29 21:13:51 - mmengine - INFO - Epoch(train) [132][360/3757] lr: 1.7197e-03 eta: 21:22:11 time: 0.4404 data_time: 0.0227 memory: 17006 grad_norm: 10.1389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4078 loss: 1.4078 2022/07/29 21:13:59 - mmengine - INFO - Epoch(train) [132][380/3757] lr: 1.7197e-03 eta: 21:22:02 time: 0.4101 data_time: 0.0206 memory: 17006 grad_norm: 9.6675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5684 loss: 1.5684 2022/07/29 21:14:07 - mmengine - INFO - Epoch(train) [132][400/3757] lr: 1.7197e-03 eta: 21:21:53 time: 0.4052 data_time: 0.0210 memory: 17006 grad_norm: 9.6924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6153 loss: 1.6153 2022/07/29 21:14:16 - mmengine - INFO - Epoch(train) [132][420/3757] lr: 1.7197e-03 eta: 21:21:47 time: 0.4492 data_time: 0.0213 memory: 17006 grad_norm: 9.8521 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5691 loss: 1.5691 2022/07/29 21:14:24 - mmengine - INFO - Epoch(train) [132][440/3757] lr: 1.7197e-03 eta: 21:21:38 time: 0.4082 data_time: 0.0209 memory: 17006 grad_norm: 10.2562 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7122 loss: 1.7122 2022/07/29 21:14:33 - mmengine - INFO - Epoch(train) [132][460/3757] lr: 1.7197e-03 eta: 21:21:29 time: 0.4172 data_time: 0.0214 memory: 17006 grad_norm: 10.0002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5384 loss: 1.5384 2022/07/29 21:14:41 - mmengine - INFO - Epoch(train) [132][480/3757] lr: 1.7197e-03 eta: 21:21:20 time: 0.4091 data_time: 0.0214 memory: 17006 grad_norm: 10.2205 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4345 loss: 1.4345 2022/07/29 21:14:50 - mmengine - INFO - Epoch(train) [132][500/3757] lr: 1.7197e-03 eta: 21:21:13 time: 0.4403 data_time: 0.0217 memory: 17006 grad_norm: 9.7797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5698 loss: 1.5698 2022/07/29 21:14:58 - mmengine - INFO - Epoch(train) [132][520/3757] lr: 1.7197e-03 eta: 21:21:04 time: 0.4024 data_time: 0.0193 memory: 17006 grad_norm: 9.9521 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3648 loss: 1.3648 2022/07/29 21:15:06 - mmengine - INFO - Epoch(train) [132][540/3757] lr: 1.7197e-03 eta: 21:20:55 time: 0.4046 data_time: 0.0213 memory: 17006 grad_norm: 9.7029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4070 loss: 1.4070 2022/07/29 21:15:14 - mmengine - INFO - Epoch(train) [132][560/3757] lr: 1.7197e-03 eta: 21:20:47 time: 0.4239 data_time: 0.0232 memory: 17006 grad_norm: 9.7248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4138 loss: 1.4138 2022/07/29 21:15:23 - mmengine - INFO - Epoch(train) [132][580/3757] lr: 1.7197e-03 eta: 21:20:39 time: 0.4237 data_time: 0.0200 memory: 17006 grad_norm: 9.8619 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8692 loss: 1.8692 2022/07/29 21:15:32 - mmengine - INFO - Epoch(train) [132][600/3757] lr: 1.7197e-03 eta: 21:20:31 time: 0.4306 data_time: 0.0231 memory: 17006 grad_norm: 9.8504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7826 loss: 1.7826 2022/07/29 21:15:40 - mmengine - INFO - Epoch(train) [132][620/3757] lr: 1.7197e-03 eta: 21:20:22 time: 0.4058 data_time: 0.0220 memory: 17006 grad_norm: 9.6251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/07/29 21:15:48 - mmengine - INFO - Epoch(train) [132][640/3757] lr: 1.7197e-03 eta: 21:20:12 time: 0.4046 data_time: 0.0214 memory: 17006 grad_norm: 9.9853 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2172 loss: 1.2172 2022/07/29 21:15:57 - mmengine - INFO - Epoch(train) [132][660/3757] lr: 1.7197e-03 eta: 21:20:06 time: 0.4429 data_time: 0.0221 memory: 17006 grad_norm: 9.6478 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6693 loss: 1.6693 2022/07/29 21:16:05 - mmengine - INFO - Epoch(train) [132][680/3757] lr: 1.7197e-03 eta: 21:19:56 time: 0.4057 data_time: 0.0217 memory: 17006 grad_norm: 9.6011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6301 loss: 1.6301 2022/07/29 21:16:14 - mmengine - INFO - Epoch(train) [132][700/3757] lr: 1.7197e-03 eta: 21:19:50 time: 0.4561 data_time: 0.0222 memory: 17006 grad_norm: 10.1408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5999 loss: 1.5999 2022/07/29 21:16:22 - mmengine - INFO - Epoch(train) [132][720/3757] lr: 1.7197e-03 eta: 21:19:41 time: 0.4057 data_time: 0.0216 memory: 17006 grad_norm: 9.9337 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2366 loss: 1.2366 2022/07/29 21:16:31 - mmengine - INFO - Epoch(train) [132][740/3757] lr: 1.7197e-03 eta: 21:19:34 time: 0.4319 data_time: 0.0189 memory: 17006 grad_norm: 9.8542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7590 loss: 1.7590 2022/07/29 21:16:39 - mmengine - INFO - Epoch(train) [132][760/3757] lr: 1.7197e-03 eta: 21:19:25 time: 0.4069 data_time: 0.0201 memory: 17006 grad_norm: 9.8792 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3491 loss: 1.3491 2022/07/29 21:16:47 - mmengine - INFO - Epoch(train) [132][780/3757] lr: 1.7197e-03 eta: 21:19:15 time: 0.4046 data_time: 0.0185 memory: 17006 grad_norm: 9.7172 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6573 loss: 1.6573 2022/07/29 21:16:56 - mmengine - INFO - Epoch(train) [132][800/3757] lr: 1.7197e-03 eta: 21:19:10 time: 0.4606 data_time: 0.0230 memory: 17006 grad_norm: 9.7172 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4596 loss: 1.4596 2022/07/29 21:17:05 - mmengine - INFO - Epoch(train) [132][820/3757] lr: 1.7197e-03 eta: 21:19:01 time: 0.4136 data_time: 0.0219 memory: 17006 grad_norm: 9.9841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4680 loss: 1.4680 2022/07/29 21:17:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:17:13 - mmengine - INFO - Epoch(train) [132][840/3757] lr: 1.7197e-03 eta: 21:18:54 time: 0.4414 data_time: 0.0246 memory: 17006 grad_norm: 10.0335 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.6745 loss: 1.6745 2022/07/29 21:17:22 - mmengine - INFO - Epoch(train) [132][860/3757] lr: 1.7197e-03 eta: 21:18:45 time: 0.4057 data_time: 0.0193 memory: 17006 grad_norm: 9.8003 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5436 loss: 1.5436 2022/07/29 21:17:30 - mmengine - INFO - Epoch(train) [132][880/3757] lr: 1.7197e-03 eta: 21:18:38 time: 0.4431 data_time: 0.0224 memory: 17006 grad_norm: 9.8297 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3625 loss: 1.3625 2022/07/29 21:17:39 - mmengine - INFO - Epoch(train) [132][900/3757] lr: 1.7197e-03 eta: 21:18:29 time: 0.4038 data_time: 0.0199 memory: 17006 grad_norm: 9.7666 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5551 loss: 1.5551 2022/07/29 21:17:47 - mmengine - INFO - Epoch(train) [132][920/3757] lr: 1.7197e-03 eta: 21:18:19 time: 0.4044 data_time: 0.0211 memory: 17006 grad_norm: 9.6066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6347 loss: 1.6347 2022/07/29 21:17:56 - mmengine - INFO - Epoch(train) [132][940/3757] lr: 1.7197e-03 eta: 21:18:14 time: 0.4608 data_time: 0.0222 memory: 17006 grad_norm: 9.9155 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6859 loss: 1.6859 2022/07/29 21:18:04 - mmengine - INFO - Epoch(train) [132][960/3757] lr: 1.7197e-03 eta: 21:18:04 time: 0.4061 data_time: 0.0222 memory: 17006 grad_norm: 9.7554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5830 loss: 1.5830 2022/07/29 21:18:13 - mmengine - INFO - Epoch(train) [132][980/3757] lr: 1.7197e-03 eta: 21:17:57 time: 0.4274 data_time: 0.0224 memory: 17006 grad_norm: 9.6232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2248 loss: 1.2248 2022/07/29 21:18:21 - mmengine - INFO - Epoch(train) [132][1000/3757] lr: 1.7197e-03 eta: 21:17:47 time: 0.4066 data_time: 0.0218 memory: 17006 grad_norm: 9.7542 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7300 loss: 1.7300 2022/07/29 21:18:29 - mmengine - INFO - Epoch(train) [132][1020/3757] lr: 1.7197e-03 eta: 21:17:38 time: 0.4054 data_time: 0.0189 memory: 17006 grad_norm: 9.6624 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4657 loss: 1.4657 2022/07/29 21:18:37 - mmengine - INFO - Epoch(train) [132][1040/3757] lr: 1.7197e-03 eta: 21:17:30 time: 0.4144 data_time: 0.0200 memory: 17006 grad_norm: 9.9394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/07/29 21:18:45 - mmengine - INFO - Epoch(train) [132][1060/3757] lr: 1.7197e-03 eta: 21:17:20 time: 0.4058 data_time: 0.0191 memory: 17006 grad_norm: 10.2265 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3821 loss: 1.3821 2022/07/29 21:18:54 - mmengine - INFO - Epoch(train) [132][1080/3757] lr: 1.7197e-03 eta: 21:17:12 time: 0.4128 data_time: 0.0214 memory: 17006 grad_norm: 9.8658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5077 loss: 1.5077 2022/07/29 21:19:02 - mmengine - INFO - Epoch(train) [132][1100/3757] lr: 1.7197e-03 eta: 21:17:02 time: 0.4046 data_time: 0.0202 memory: 17006 grad_norm: 9.5768 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3525 loss: 1.3525 2022/07/29 21:19:10 - mmengine - INFO - Epoch(train) [132][1120/3757] lr: 1.7197e-03 eta: 21:16:54 time: 0.4157 data_time: 0.0217 memory: 17006 grad_norm: 9.9502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6091 loss: 1.6091 2022/07/29 21:19:18 - mmengine - INFO - Epoch(train) [132][1140/3757] lr: 1.7197e-03 eta: 21:16:45 time: 0.4047 data_time: 0.0211 memory: 17006 grad_norm: 9.9895 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7583 loss: 1.7583 2022/07/29 21:19:26 - mmengine - INFO - Epoch(train) [132][1160/3757] lr: 1.7197e-03 eta: 21:16:36 time: 0.4111 data_time: 0.0205 memory: 17006 grad_norm: 9.7526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3732 loss: 1.3732 2022/07/29 21:19:35 - mmengine - INFO - Epoch(train) [132][1180/3757] lr: 1.7197e-03 eta: 21:16:29 time: 0.4445 data_time: 0.0203 memory: 17006 grad_norm: 10.1773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5669 loss: 1.5669 2022/07/29 21:19:44 - mmengine - INFO - Epoch(train) [132][1200/3757] lr: 1.7197e-03 eta: 21:16:20 time: 0.4082 data_time: 0.0212 memory: 17006 grad_norm: 10.3828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5673 loss: 1.5673 2022/07/29 21:19:52 - mmengine - INFO - Epoch(train) [132][1220/3757] lr: 1.7197e-03 eta: 21:16:12 time: 0.4244 data_time: 0.0226 memory: 17006 grad_norm: 9.7108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5571 loss: 1.5571 2022/07/29 21:20:00 - mmengine - INFO - Epoch(train) [132][1240/3757] lr: 1.7197e-03 eta: 21:16:03 time: 0.4077 data_time: 0.0212 memory: 17006 grad_norm: 9.9859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8796 loss: 1.8796 2022/07/29 21:20:08 - mmengine - INFO - Epoch(train) [132][1260/3757] lr: 1.7197e-03 eta: 21:15:54 time: 0.4044 data_time: 0.0214 memory: 17006 grad_norm: 9.4856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6080 loss: 1.6080 2022/07/29 21:20:17 - mmengine - INFO - Epoch(train) [132][1280/3757] lr: 1.7197e-03 eta: 21:15:46 time: 0.4289 data_time: 0.0214 memory: 17006 grad_norm: 9.6733 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4055 loss: 1.4055 2022/07/29 21:20:25 - mmengine - INFO - Epoch(train) [132][1300/3757] lr: 1.7197e-03 eta: 21:15:38 time: 0.4230 data_time: 0.0215 memory: 17006 grad_norm: 9.7674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5432 loss: 1.5432 2022/07/29 21:20:34 - mmengine - INFO - Epoch(train) [132][1320/3757] lr: 1.7197e-03 eta: 21:15:30 time: 0.4215 data_time: 0.0223 memory: 17006 grad_norm: 9.6259 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4422 loss: 1.4422 2022/07/29 21:20:42 - mmengine - INFO - Epoch(train) [132][1340/3757] lr: 1.7197e-03 eta: 21:15:20 time: 0.4079 data_time: 0.0205 memory: 17006 grad_norm: 10.0202 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6116 loss: 1.6116 2022/07/29 21:20:51 - mmengine - INFO - Epoch(train) [132][1360/3757] lr: 1.7197e-03 eta: 21:15:12 time: 0.4193 data_time: 0.0235 memory: 17006 grad_norm: 10.0718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1093 loss: 1.1093 2022/07/29 21:20:59 - mmengine - INFO - Epoch(train) [132][1380/3757] lr: 1.7197e-03 eta: 21:15:03 time: 0.4057 data_time: 0.0203 memory: 17006 grad_norm: 9.7427 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3008 loss: 1.3008 2022/07/29 21:21:08 - mmengine - INFO - Epoch(train) [132][1400/3757] lr: 1.7197e-03 eta: 21:14:57 time: 0.4499 data_time: 0.0195 memory: 17006 grad_norm: 9.6566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/07/29 21:21:16 - mmengine - INFO - Epoch(train) [132][1420/3757] lr: 1.7197e-03 eta: 21:14:49 time: 0.4270 data_time: 0.0209 memory: 17006 grad_norm: 9.9884 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5825 loss: 1.5825 2022/07/29 21:21:24 - mmengine - INFO - Epoch(train) [132][1440/3757] lr: 1.7197e-03 eta: 21:14:39 time: 0.4051 data_time: 0.0209 memory: 17006 grad_norm: 10.1827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5827 loss: 1.5827 2022/07/29 21:21:33 - mmengine - INFO - Epoch(train) [132][1460/3757] lr: 1.7197e-03 eta: 21:14:31 time: 0.4250 data_time: 0.0227 memory: 17006 grad_norm: 9.3582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3157 loss: 1.3157 2022/07/29 21:21:41 - mmengine - INFO - Epoch(train) [132][1480/3757] lr: 1.7197e-03 eta: 21:14:22 time: 0.4046 data_time: 0.0207 memory: 17006 grad_norm: 9.6557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3853 loss: 1.3853 2022/07/29 21:21:49 - mmengine - INFO - Epoch(train) [132][1500/3757] lr: 1.7197e-03 eta: 21:14:13 time: 0.4116 data_time: 0.0204 memory: 17006 grad_norm: 9.7723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6144 loss: 1.6144 2022/07/29 21:21:58 - mmengine - INFO - Epoch(train) [132][1520/3757] lr: 1.7197e-03 eta: 21:14:05 time: 0.4154 data_time: 0.0202 memory: 17006 grad_norm: 9.9288 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6246 loss: 1.6246 2022/07/29 21:22:06 - mmengine - INFO - Epoch(train) [132][1540/3757] lr: 1.7197e-03 eta: 21:13:56 time: 0.4077 data_time: 0.0206 memory: 17006 grad_norm: 9.8399 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4255 loss: 1.4255 2022/07/29 21:22:14 - mmengine - INFO - Epoch(train) [132][1560/3757] lr: 1.7197e-03 eta: 21:13:48 time: 0.4344 data_time: 0.0272 memory: 17006 grad_norm: 10.0671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3744 loss: 1.3744 2022/07/29 21:22:23 - mmengine - INFO - Epoch(train) [132][1580/3757] lr: 1.7197e-03 eta: 21:13:40 time: 0.4270 data_time: 0.0195 memory: 17006 grad_norm: 9.8723 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7007 loss: 1.7007 2022/07/29 21:22:31 - mmengine - INFO - Epoch(train) [132][1600/3757] lr: 1.7197e-03 eta: 21:13:32 time: 0.4155 data_time: 0.0227 memory: 17006 grad_norm: 9.9691 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6222 loss: 1.6222 2022/07/29 21:22:39 - mmengine - INFO - Epoch(train) [132][1620/3757] lr: 1.7197e-03 eta: 21:13:23 time: 0.4044 data_time: 0.0202 memory: 17006 grad_norm: 10.1730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7345 loss: 1.7345 2022/07/29 21:22:48 - mmengine - INFO - Epoch(train) [132][1640/3757] lr: 1.7197e-03 eta: 21:13:13 time: 0.4048 data_time: 0.0210 memory: 17006 grad_norm: 9.7070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7272 loss: 1.7272 2022/07/29 21:22:56 - mmengine - INFO - Epoch(train) [132][1660/3757] lr: 1.7197e-03 eta: 21:13:07 time: 0.4435 data_time: 0.0208 memory: 17006 grad_norm: 10.1762 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6365 loss: 1.6365 2022/07/29 21:23:05 - mmengine - INFO - Epoch(train) [132][1680/3757] lr: 1.7197e-03 eta: 21:12:57 time: 0.4046 data_time: 0.0202 memory: 17006 grad_norm: 9.8352 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4640 loss: 1.4640 2022/07/29 21:23:14 - mmengine - INFO - Epoch(train) [132][1700/3757] lr: 1.7197e-03 eta: 21:12:51 time: 0.4509 data_time: 0.0224 memory: 17006 grad_norm: 9.8345 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2375 loss: 1.2375 2022/07/29 21:23:22 - mmengine - INFO - Epoch(train) [132][1720/3757] lr: 1.7197e-03 eta: 21:12:42 time: 0.4059 data_time: 0.0218 memory: 17006 grad_norm: 9.8559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5831 loss: 1.5831 2022/07/29 21:23:30 - mmengine - INFO - Epoch(train) [132][1740/3757] lr: 1.7197e-03 eta: 21:12:34 time: 0.4295 data_time: 0.0204 memory: 17006 grad_norm: 9.7014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4363 loss: 1.4363 2022/07/29 21:23:38 - mmengine - INFO - Epoch(train) [132][1760/3757] lr: 1.7197e-03 eta: 21:12:25 time: 0.4028 data_time: 0.0205 memory: 17006 grad_norm: 9.9605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/07/29 21:23:47 - mmengine - INFO - Epoch(train) [132][1780/3757] lr: 1.7197e-03 eta: 21:12:16 time: 0.4066 data_time: 0.0209 memory: 17006 grad_norm: 9.9499 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5501 loss: 1.5501 2022/07/29 21:23:55 - mmengine - INFO - Epoch(train) [132][1800/3757] lr: 1.7197e-03 eta: 21:12:08 time: 0.4335 data_time: 0.0231 memory: 17006 grad_norm: 9.5022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3413 loss: 1.3413 2022/07/29 21:24:04 - mmengine - INFO - Epoch(train) [132][1820/3757] lr: 1.7197e-03 eta: 21:11:59 time: 0.4124 data_time: 0.0208 memory: 17006 grad_norm: 10.5414 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3706 loss: 1.3706 2022/07/29 21:24:09 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:24:12 - mmengine - INFO - Epoch(train) [132][1840/3757] lr: 1.7197e-03 eta: 21:11:52 time: 0.4351 data_time: 0.0226 memory: 17006 grad_norm: 9.5483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5189 loss: 1.5189 2022/07/29 21:24:20 - mmengine - INFO - Epoch(train) [132][1860/3757] lr: 1.7197e-03 eta: 21:11:43 time: 0.4027 data_time: 0.0184 memory: 17006 grad_norm: 9.9919 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5265 loss: 1.5265 2022/07/29 21:24:29 - mmengine - INFO - Epoch(train) [132][1880/3757] lr: 1.7197e-03 eta: 21:11:33 time: 0.4040 data_time: 0.0201 memory: 17006 grad_norm: 9.6937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5061 loss: 1.5061 2022/07/29 21:24:37 - mmengine - INFO - Epoch(train) [132][1900/3757] lr: 1.7197e-03 eta: 21:11:26 time: 0.4405 data_time: 0.0218 memory: 17006 grad_norm: 9.4919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4621 loss: 1.4621 2022/07/29 21:24:45 - mmengine - INFO - Epoch(train) [132][1920/3757] lr: 1.7197e-03 eta: 21:11:17 time: 0.4060 data_time: 0.0213 memory: 17006 grad_norm: 9.3889 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4490 loss: 1.4490 2022/07/29 21:24:54 - mmengine - INFO - Epoch(train) [132][1940/3757] lr: 1.7197e-03 eta: 21:11:11 time: 0.4481 data_time: 0.0230 memory: 17006 grad_norm: 9.5432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1507 loss: 1.1507 2022/07/29 21:25:03 - mmengine - INFO - Epoch(train) [132][1960/3757] lr: 1.7197e-03 eta: 21:11:01 time: 0.4067 data_time: 0.0216 memory: 17006 grad_norm: 9.8236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5329 loss: 1.5329 2022/07/29 21:25:11 - mmengine - INFO - Epoch(train) [132][1980/3757] lr: 1.7197e-03 eta: 21:10:54 time: 0.4263 data_time: 0.0236 memory: 17006 grad_norm: 9.7138 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6936 loss: 1.6936 2022/07/29 21:25:19 - mmengine - INFO - Epoch(train) [132][2000/3757] lr: 1.7197e-03 eta: 21:10:44 time: 0.4037 data_time: 0.0197 memory: 17006 grad_norm: 9.5860 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2633 loss: 1.2633 2022/07/29 21:25:27 - mmengine - INFO - Epoch(train) [132][2020/3757] lr: 1.7197e-03 eta: 21:10:35 time: 0.4042 data_time: 0.0189 memory: 17006 grad_norm: 9.8487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5358 loss: 1.5358 2022/07/29 21:25:37 - mmengine - INFO - Epoch(train) [132][2040/3757] lr: 1.7197e-03 eta: 21:10:30 time: 0.4710 data_time: 0.0246 memory: 17006 grad_norm: 9.5580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/07/29 21:25:45 - mmengine - INFO - Epoch(train) [132][2060/3757] lr: 1.7197e-03 eta: 21:10:21 time: 0.4051 data_time: 0.0199 memory: 17006 grad_norm: 9.7518 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6209 loss: 1.6209 2022/07/29 21:25:55 - mmengine - INFO - Epoch(train) [132][2080/3757] lr: 1.7197e-03 eta: 21:10:16 time: 0.4796 data_time: 0.0266 memory: 17006 grad_norm: 10.1079 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4960 loss: 1.4960 2022/07/29 21:26:03 - mmengine - INFO - Epoch(train) [132][2100/3757] lr: 1.7197e-03 eta: 21:10:07 time: 0.4052 data_time: 0.0212 memory: 17006 grad_norm: 9.6887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4151 loss: 1.4151 2022/07/29 21:26:11 - mmengine - INFO - Epoch(train) [132][2120/3757] lr: 1.7197e-03 eta: 21:09:59 time: 0.4192 data_time: 0.0227 memory: 17006 grad_norm: 10.0294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6581 loss: 1.6581 2022/07/29 21:26:19 - mmengine - INFO - Epoch(train) [132][2140/3757] lr: 1.7197e-03 eta: 21:09:49 time: 0.4036 data_time: 0.0182 memory: 17006 grad_norm: 9.9170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4029 loss: 1.4029 2022/07/29 21:26:27 - mmengine - INFO - Epoch(train) [132][2160/3757] lr: 1.7197e-03 eta: 21:09:40 time: 0.4078 data_time: 0.0217 memory: 17006 grad_norm: 10.0677 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4867 loss: 1.4867 2022/07/29 21:26:36 - mmengine - INFO - Epoch(train) [132][2180/3757] lr: 1.7197e-03 eta: 21:09:31 time: 0.4135 data_time: 0.0196 memory: 17006 grad_norm: 9.6962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2962 loss: 1.2962 2022/07/29 21:26:45 - mmengine - INFO - Epoch(train) [132][2200/3757] lr: 1.7197e-03 eta: 21:09:25 time: 0.4531 data_time: 0.0218 memory: 17006 grad_norm: 9.7651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6236 loss: 1.6236 2022/07/29 21:26:53 - mmengine - INFO - Epoch(train) [132][2220/3757] lr: 1.7197e-03 eta: 21:09:17 time: 0.4195 data_time: 0.0211 memory: 17006 grad_norm: 9.8917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4916 loss: 1.4916 2022/07/29 21:27:02 - mmengine - INFO - Epoch(train) [132][2240/3757] lr: 1.7197e-03 eta: 21:09:10 time: 0.4437 data_time: 0.0214 memory: 17006 grad_norm: 9.7872 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3692 loss: 1.3692 2022/07/29 21:27:11 - mmengine - INFO - Epoch(train) [132][2260/3757] lr: 1.7197e-03 eta: 21:09:02 time: 0.4236 data_time: 0.0219 memory: 17006 grad_norm: 9.5697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1912 loss: 1.1912 2022/07/29 21:27:19 - mmengine - INFO - Epoch(train) [132][2280/3757] lr: 1.7197e-03 eta: 21:08:53 time: 0.4055 data_time: 0.0199 memory: 17006 grad_norm: 9.6039 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4174 loss: 1.4174 2022/07/29 21:27:27 - mmengine - INFO - Epoch(train) [132][2300/3757] lr: 1.7197e-03 eta: 21:08:44 time: 0.4062 data_time: 0.0178 memory: 17006 grad_norm: 9.5300 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5586 loss: 1.5586 2022/07/29 21:27:35 - mmengine - INFO - Epoch(train) [132][2320/3757] lr: 1.7197e-03 eta: 21:08:35 time: 0.4224 data_time: 0.0245 memory: 17006 grad_norm: 9.5995 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0637 loss: 1.0637 2022/07/29 21:27:44 - mmengine - INFO - Epoch(train) [132][2340/3757] lr: 1.7197e-03 eta: 21:08:26 time: 0.4078 data_time: 0.0208 memory: 17006 grad_norm: 9.6980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1737 loss: 1.1737 2022/07/29 21:27:52 - mmengine - INFO - Epoch(train) [132][2360/3757] lr: 1.7197e-03 eta: 21:08:18 time: 0.4185 data_time: 0.0231 memory: 17006 grad_norm: 10.1554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5087 loss: 1.5087 2022/07/29 21:28:00 - mmengine - INFO - Epoch(train) [132][2380/3757] lr: 1.7197e-03 eta: 21:08:09 time: 0.4049 data_time: 0.0201 memory: 17006 grad_norm: 9.8754 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6195 loss: 1.6195 2022/07/29 21:28:08 - mmengine - INFO - Epoch(train) [132][2400/3757] lr: 1.7197e-03 eta: 21:08:00 time: 0.4061 data_time: 0.0231 memory: 17006 grad_norm: 9.8678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6943 loss: 1.6943 2022/07/29 21:28:17 - mmengine - INFO - Epoch(train) [132][2420/3757] lr: 1.7197e-03 eta: 21:07:52 time: 0.4246 data_time: 0.0199 memory: 17006 grad_norm: 9.6671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5740 loss: 1.5740 2022/07/29 21:28:27 - mmengine - INFO - Epoch(train) [132][2440/3757] lr: 1.7197e-03 eta: 21:07:48 time: 0.4928 data_time: 0.0215 memory: 17006 grad_norm: 9.6982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5268 loss: 1.5268 2022/07/29 21:28:35 - mmengine - INFO - Epoch(train) [132][2460/3757] lr: 1.7197e-03 eta: 21:07:39 time: 0.4117 data_time: 0.0195 memory: 17006 grad_norm: 9.7835 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6363 loss: 1.6363 2022/07/29 21:28:43 - mmengine - INFO - Epoch(train) [132][2480/3757] lr: 1.7197e-03 eta: 21:07:30 time: 0.4079 data_time: 0.0229 memory: 17006 grad_norm: 9.9566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5731 loss: 1.5731 2022/07/29 21:28:52 - mmengine - INFO - Epoch(train) [132][2500/3757] lr: 1.7197e-03 eta: 21:07:24 time: 0.4559 data_time: 0.0194 memory: 17006 grad_norm: 9.7962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3535 loss: 1.3535 2022/07/29 21:29:01 - mmengine - INFO - Epoch(train) [132][2520/3757] lr: 1.7197e-03 eta: 21:07:16 time: 0.4212 data_time: 0.0228 memory: 17006 grad_norm: 9.9574 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4429 loss: 1.4429 2022/07/29 21:29:09 - mmengine - INFO - Epoch(train) [132][2540/3757] lr: 1.7197e-03 eta: 21:07:06 time: 0.4033 data_time: 0.0200 memory: 17006 grad_norm: 10.0558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6608 loss: 1.6608 2022/07/29 21:29:18 - mmengine - INFO - Epoch(train) [132][2560/3757] lr: 1.7197e-03 eta: 21:07:01 time: 0.4655 data_time: 0.0234 memory: 17006 grad_norm: 9.9613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4999 loss: 1.4999 2022/07/29 21:29:26 - mmengine - INFO - Epoch(train) [132][2580/3757] lr: 1.7197e-03 eta: 21:06:52 time: 0.4040 data_time: 0.0191 memory: 17006 grad_norm: 9.7002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5778 loss: 1.5778 2022/07/29 21:29:36 - mmengine - INFO - Epoch(train) [132][2600/3757] lr: 1.7197e-03 eta: 21:06:47 time: 0.4787 data_time: 0.0270 memory: 17006 grad_norm: 9.7197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4572 loss: 1.4572 2022/07/29 21:29:44 - mmengine - INFO - Epoch(train) [132][2620/3757] lr: 1.7197e-03 eta: 21:06:38 time: 0.4040 data_time: 0.0192 memory: 17006 grad_norm: 9.8838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5209 loss: 1.5209 2022/07/29 21:29:53 - mmengine - INFO - Epoch(train) [132][2640/3757] lr: 1.7197e-03 eta: 21:06:31 time: 0.4550 data_time: 0.0223 memory: 17006 grad_norm: 9.9260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8010 loss: 1.8010 2022/07/29 21:30:01 - mmengine - INFO - Epoch(train) [132][2660/3757] lr: 1.7197e-03 eta: 21:06:22 time: 0.4054 data_time: 0.0202 memory: 17006 grad_norm: 9.7389 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6373 loss: 1.6373 2022/07/29 21:30:09 - mmengine - INFO - Epoch(train) [132][2680/3757] lr: 1.7197e-03 eta: 21:06:13 time: 0.4085 data_time: 0.0244 memory: 17006 grad_norm: 9.9013 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4765 loss: 1.4765 2022/07/29 21:30:18 - mmengine - INFO - Epoch(train) [132][2700/3757] lr: 1.7197e-03 eta: 21:06:06 time: 0.4346 data_time: 0.0226 memory: 17006 grad_norm: 9.9988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3275 loss: 1.3275 2022/07/29 21:30:26 - mmengine - INFO - Epoch(train) [132][2720/3757] lr: 1.7197e-03 eta: 21:05:57 time: 0.4042 data_time: 0.0207 memory: 17006 grad_norm: 9.7773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8180 loss: 1.8180 2022/07/29 21:30:35 - mmengine - INFO - Epoch(train) [132][2740/3757] lr: 1.7197e-03 eta: 21:05:51 time: 0.4587 data_time: 0.0223 memory: 17006 grad_norm: 9.8377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2616 loss: 1.2616 2022/07/29 21:30:43 - mmengine - INFO - Epoch(train) [132][2760/3757] lr: 1.7197e-03 eta: 21:05:41 time: 0.4036 data_time: 0.0217 memory: 17006 grad_norm: 9.8831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7112 loss: 1.7112 2022/07/29 21:30:52 - mmengine - INFO - Epoch(train) [132][2780/3757] lr: 1.7197e-03 eta: 21:05:34 time: 0.4369 data_time: 0.0204 memory: 17006 grad_norm: 9.6539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5929 loss: 1.5929 2022/07/29 21:31:00 - mmengine - INFO - Epoch(train) [132][2800/3757] lr: 1.7197e-03 eta: 21:05:25 time: 0.4044 data_time: 0.0208 memory: 17006 grad_norm: 9.5161 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3794 loss: 1.3794 2022/07/29 21:31:08 - mmengine - INFO - Epoch(train) [132][2820/3757] lr: 1.7197e-03 eta: 21:05:16 time: 0.4043 data_time: 0.0193 memory: 17006 grad_norm: 9.9534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3164 loss: 1.3164 2022/07/29 21:31:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:31:18 - mmengine - INFO - Epoch(train) [132][2840/3757] lr: 1.7197e-03 eta: 21:05:10 time: 0.4596 data_time: 0.0227 memory: 17006 grad_norm: 9.8485 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7587 loss: 1.7587 2022/07/29 21:31:26 - mmengine - INFO - Epoch(train) [132][2860/3757] lr: 1.7197e-03 eta: 21:05:00 time: 0.4057 data_time: 0.0203 memory: 17006 grad_norm: 10.0896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4427 loss: 1.4427 2022/07/29 21:31:34 - mmengine - INFO - Epoch(train) [132][2880/3757] lr: 1.7197e-03 eta: 21:04:53 time: 0.4272 data_time: 0.0234 memory: 17006 grad_norm: 9.7457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7422 loss: 1.7422 2022/07/29 21:31:42 - mmengine - INFO - Epoch(train) [132][2900/3757] lr: 1.7197e-03 eta: 21:04:43 time: 0.4051 data_time: 0.0194 memory: 17006 grad_norm: 9.8521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5151 loss: 1.5151 2022/07/29 21:31:51 - mmengine - INFO - Epoch(train) [132][2920/3757] lr: 1.7197e-03 eta: 21:04:36 time: 0.4422 data_time: 0.0228 memory: 17006 grad_norm: 9.8674 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3730 loss: 1.3730 2022/07/29 21:31:59 - mmengine - INFO - Epoch(train) [132][2940/3757] lr: 1.7197e-03 eta: 21:04:27 time: 0.4018 data_time: 0.0183 memory: 17006 grad_norm: 9.9748 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4009 loss: 1.4009 2022/07/29 21:32:07 - mmengine - INFO - Epoch(train) [132][2960/3757] lr: 1.7197e-03 eta: 21:04:18 time: 0.4071 data_time: 0.0205 memory: 17006 grad_norm: 9.5470 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8040 loss: 1.8040 2022/07/29 21:32:16 - mmengine - INFO - Epoch(train) [132][2980/3757] lr: 1.7197e-03 eta: 21:04:10 time: 0.4193 data_time: 0.0218 memory: 17006 grad_norm: 9.8969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6274 loss: 1.6274 2022/07/29 21:32:25 - mmengine - INFO - Epoch(train) [132][3000/3757] lr: 1.7197e-03 eta: 21:04:03 time: 0.4488 data_time: 0.0226 memory: 17006 grad_norm: 9.8949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3294 loss: 1.3294 2022/07/29 21:32:33 - mmengine - INFO - Epoch(train) [132][3020/3757] lr: 1.7197e-03 eta: 21:03:54 time: 0.4129 data_time: 0.0216 memory: 17006 grad_norm: 10.1660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4272 loss: 1.4272 2022/07/29 21:32:41 - mmengine - INFO - Epoch(train) [132][3040/3757] lr: 1.7197e-03 eta: 21:03:45 time: 0.4106 data_time: 0.0213 memory: 17006 grad_norm: 9.6794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3732 loss: 1.3732 2022/07/29 21:32:50 - mmengine - INFO - Epoch(train) [132][3060/3757] lr: 1.7197e-03 eta: 21:03:36 time: 0.4038 data_time: 0.0186 memory: 17006 grad_norm: 9.5542 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6130 loss: 1.6130 2022/07/29 21:32:58 - mmengine - INFO - Epoch(train) [132][3080/3757] lr: 1.7197e-03 eta: 21:03:29 time: 0.4405 data_time: 0.0224 memory: 17006 grad_norm: 10.3395 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5163 loss: 1.5163 2022/07/29 21:33:07 - mmengine - INFO - Epoch(train) [132][3100/3757] lr: 1.7197e-03 eta: 21:03:21 time: 0.4188 data_time: 0.0212 memory: 17006 grad_norm: 10.0537 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3902 loss: 1.3902 2022/07/29 21:33:15 - mmengine - INFO - Epoch(train) [132][3120/3757] lr: 1.7197e-03 eta: 21:03:13 time: 0.4230 data_time: 0.0232 memory: 17006 grad_norm: 9.6102 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7012 loss: 1.7012 2022/07/29 21:33:23 - mmengine - INFO - Epoch(train) [132][3140/3757] lr: 1.7197e-03 eta: 21:03:04 time: 0.4082 data_time: 0.0209 memory: 17006 grad_norm: 9.9620 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5474 loss: 1.5474 2022/07/29 21:33:32 - mmengine - INFO - Epoch(train) [132][3160/3757] lr: 1.7197e-03 eta: 21:02:55 time: 0.4145 data_time: 0.0229 memory: 17006 grad_norm: 9.7816 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6900 loss: 1.6900 2022/07/29 21:33:40 - mmengine - INFO - Epoch(train) [132][3180/3757] lr: 1.7197e-03 eta: 21:02:46 time: 0.4028 data_time: 0.0184 memory: 17006 grad_norm: 9.8496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7864 loss: 1.7864 2022/07/29 21:33:49 - mmengine - INFO - Epoch(train) [132][3200/3757] lr: 1.7197e-03 eta: 21:02:39 time: 0.4475 data_time: 0.0222 memory: 17006 grad_norm: 9.8709 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5999 loss: 1.5999 2022/07/29 21:33:57 - mmengine - INFO - Epoch(train) [132][3220/3757] lr: 1.7197e-03 eta: 21:02:30 time: 0.4128 data_time: 0.0219 memory: 17006 grad_norm: 10.1410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7234 loss: 1.7234 2022/07/29 21:34:05 - mmengine - INFO - Epoch(train) [132][3240/3757] lr: 1.7197e-03 eta: 21:02:21 time: 0.4038 data_time: 0.0208 memory: 17006 grad_norm: 10.0498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6149 loss: 1.6149 2022/07/29 21:34:13 - mmengine - INFO - Epoch(train) [132][3260/3757] lr: 1.7197e-03 eta: 21:02:12 time: 0.4103 data_time: 0.0193 memory: 17006 grad_norm: 9.8609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5481 loss: 1.5481 2022/07/29 21:34:22 - mmengine - INFO - Epoch(train) [132][3280/3757] lr: 1.7197e-03 eta: 21:02:03 time: 0.4064 data_time: 0.0216 memory: 17006 grad_norm: 9.8578 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6597 loss: 1.6597 2022/07/29 21:34:30 - mmengine - INFO - Epoch(train) [132][3300/3757] lr: 1.7197e-03 eta: 21:01:54 time: 0.4028 data_time: 0.0185 memory: 17006 grad_norm: 9.5306 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3982 loss: 1.3982 2022/07/29 21:34:38 - mmengine - INFO - Epoch(train) [132][3320/3757] lr: 1.7197e-03 eta: 21:01:45 time: 0.4118 data_time: 0.0216 memory: 17006 grad_norm: 9.4711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7714 loss: 1.7714 2022/07/29 21:34:46 - mmengine - INFO - Epoch(train) [132][3340/3757] lr: 1.7197e-03 eta: 21:01:36 time: 0.4092 data_time: 0.0207 memory: 17006 grad_norm: 9.4934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4383 loss: 1.4383 2022/07/29 21:34:54 - mmengine - INFO - Epoch(train) [132][3360/3757] lr: 1.7197e-03 eta: 21:01:27 time: 0.4114 data_time: 0.0227 memory: 17006 grad_norm: 9.8908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6618 loss: 1.6618 2022/07/29 21:35:02 - mmengine - INFO - Epoch(train) [132][3380/3757] lr: 1.7197e-03 eta: 21:01:18 time: 0.4038 data_time: 0.0195 memory: 17006 grad_norm: 9.7584 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4216 loss: 1.4216 2022/07/29 21:35:11 - mmengine - INFO - Epoch(train) [132][3400/3757] lr: 1.7197e-03 eta: 21:01:09 time: 0.4126 data_time: 0.0218 memory: 17006 grad_norm: 10.2249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7056 loss: 1.7056 2022/07/29 21:35:19 - mmengine - INFO - Epoch(train) [132][3420/3757] lr: 1.7197e-03 eta: 21:01:00 time: 0.4044 data_time: 0.0182 memory: 17006 grad_norm: 10.2013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6373 loss: 1.6373 2022/07/29 21:35:28 - mmengine - INFO - Epoch(train) [132][3440/3757] lr: 1.7197e-03 eta: 21:00:52 time: 0.4358 data_time: 0.0218 memory: 17006 grad_norm: 9.7578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4235 loss: 1.4235 2022/07/29 21:35:36 - mmengine - INFO - Epoch(train) [132][3460/3757] lr: 1.7197e-03 eta: 21:00:44 time: 0.4227 data_time: 0.0202 memory: 17006 grad_norm: 9.6352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5510 loss: 1.5510 2022/07/29 21:35:44 - mmengine - INFO - Epoch(train) [132][3480/3757] lr: 1.7197e-03 eta: 21:00:36 time: 0.4140 data_time: 0.0221 memory: 17006 grad_norm: 9.8209 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5394 loss: 1.5394 2022/07/29 21:35:54 - mmengine - INFO - Epoch(train) [132][3500/3757] lr: 1.7197e-03 eta: 21:00:29 time: 0.4559 data_time: 0.0225 memory: 17006 grad_norm: 9.6953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5829 loss: 1.5829 2022/07/29 21:36:02 - mmengine - INFO - Epoch(train) [132][3520/3757] lr: 1.7197e-03 eta: 21:00:20 time: 0.4067 data_time: 0.0221 memory: 17006 grad_norm: 9.6030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5038 loss: 1.5038 2022/07/29 21:36:10 - mmengine - INFO - Epoch(train) [132][3540/3757] lr: 1.7197e-03 eta: 21:00:11 time: 0.4039 data_time: 0.0181 memory: 17006 grad_norm: 10.1039 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4667 loss: 1.4667 2022/07/29 21:36:18 - mmengine - INFO - Epoch(train) [132][3560/3757] lr: 1.7197e-03 eta: 21:00:03 time: 0.4295 data_time: 0.0228 memory: 17006 grad_norm: 10.0194 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7203 loss: 1.7203 2022/07/29 21:36:27 - mmengine - INFO - Epoch(train) [132][3580/3757] lr: 1.7197e-03 eta: 20:59:55 time: 0.4130 data_time: 0.0185 memory: 17006 grad_norm: 9.8272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3436 loss: 1.3436 2022/07/29 21:36:36 - mmengine - INFO - Epoch(train) [132][3600/3757] lr: 1.7197e-03 eta: 20:59:48 time: 0.4527 data_time: 0.0221 memory: 17006 grad_norm: 10.5944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5758 loss: 1.5758 2022/07/29 21:36:44 - mmengine - INFO - Epoch(train) [132][3620/3757] lr: 1.7197e-03 eta: 20:59:39 time: 0.4098 data_time: 0.0188 memory: 17006 grad_norm: 9.6946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3839 loss: 1.3839 2022/07/29 21:36:53 - mmengine - INFO - Epoch(train) [132][3640/3757] lr: 1.7197e-03 eta: 20:59:33 time: 0.4601 data_time: 0.0219 memory: 17006 grad_norm: 9.7864 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4209 loss: 1.4209 2022/07/29 21:37:01 - mmengine - INFO - Epoch(train) [132][3660/3757] lr: 1.7197e-03 eta: 20:59:25 time: 0.4113 data_time: 0.0197 memory: 17006 grad_norm: 10.1056 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3955 loss: 1.3955 2022/07/29 21:37:10 - mmengine - INFO - Epoch(train) [132][3680/3757] lr: 1.7197e-03 eta: 20:59:15 time: 0.4030 data_time: 0.0205 memory: 17006 grad_norm: 10.2272 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4947 loss: 1.4947 2022/07/29 21:37:18 - mmengine - INFO - Epoch(train) [132][3700/3757] lr: 1.7197e-03 eta: 20:59:08 time: 0.4415 data_time: 0.0191 memory: 17006 grad_norm: 10.2402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7505 loss: 1.7505 2022/07/29 21:37:27 - mmengine - INFO - Epoch(train) [132][3720/3757] lr: 1.7197e-03 eta: 20:59:00 time: 0.4172 data_time: 0.0209 memory: 17006 grad_norm: 9.6245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6959 loss: 1.6959 2022/07/29 21:37:35 - mmengine - INFO - Epoch(train) [132][3740/3757] lr: 1.7197e-03 eta: 20:58:51 time: 0.4110 data_time: 0.0208 memory: 17006 grad_norm: 10.0623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3934 loss: 1.3934 2022/07/29 21:37:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:37:42 - mmengine - INFO - Epoch(train) [132][3757/3757] lr: 1.7197e-03 eta: 20:58:51 time: 0.4234 data_time: 0.0224 memory: 17006 grad_norm: 9.9278 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6766 loss: 1.6766 2022/07/29 21:37:42 - mmengine - INFO - Saving checkpoint at 132 epochs 2022/07/29 21:37:56 - mmengine - INFO - Epoch(train) [133][20/3757] lr: 1.6543e-03 eta: 20:58:17 time: 0.4610 data_time: 0.0706 memory: 17006 grad_norm: 9.3692 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4334 loss: 1.4334 2022/07/29 21:38:05 - mmengine - INFO - Epoch(train) [133][40/3757] lr: 1.6543e-03 eta: 20:58:09 time: 0.4274 data_time: 0.0203 memory: 17006 grad_norm: 9.9285 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3996 loss: 1.3996 2022/07/29 21:38:13 - mmengine - INFO - Epoch(train) [133][60/3757] lr: 1.6543e-03 eta: 20:58:00 time: 0.4085 data_time: 0.0230 memory: 17006 grad_norm: 10.0618 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6344 loss: 1.6344 2022/07/29 21:38:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:38:22 - mmengine - INFO - Epoch(train) [133][80/3757] lr: 1.6543e-03 eta: 20:57:53 time: 0.4391 data_time: 0.0207 memory: 17006 grad_norm: 10.2437 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4207 loss: 1.4207 2022/07/29 21:38:30 - mmengine - INFO - Epoch(train) [133][100/3757] lr: 1.6543e-03 eta: 20:57:43 time: 0.4039 data_time: 0.0200 memory: 17006 grad_norm: 10.1188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3030 loss: 1.3030 2022/07/29 21:38:38 - mmengine - INFO - Epoch(train) [133][120/3757] lr: 1.6543e-03 eta: 20:57:34 time: 0.4093 data_time: 0.0219 memory: 17006 grad_norm: 10.0509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4726 loss: 1.4726 2022/07/29 21:38:47 - mmengine - INFO - Epoch(train) [133][140/3757] lr: 1.6543e-03 eta: 20:57:26 time: 0.4200 data_time: 0.0212 memory: 17006 grad_norm: 9.9062 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6148 loss: 1.6148 2022/07/29 21:38:55 - mmengine - INFO - Epoch(train) [133][160/3757] lr: 1.6543e-03 eta: 20:57:17 time: 0.4129 data_time: 0.0224 memory: 17006 grad_norm: 9.9347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3153 loss: 1.3153 2022/07/29 21:39:03 - mmengine - INFO - Epoch(train) [133][180/3757] lr: 1.6543e-03 eta: 20:57:09 time: 0.4214 data_time: 0.0199 memory: 17006 grad_norm: 9.6866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/07/29 21:39:12 - mmengine - INFO - Epoch(train) [133][200/3757] lr: 1.6543e-03 eta: 20:57:00 time: 0.4087 data_time: 0.0216 memory: 17006 grad_norm: 10.1125 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2116 loss: 1.2116 2022/07/29 21:39:20 - mmengine - INFO - Epoch(train) [133][220/3757] lr: 1.6543e-03 eta: 20:56:51 time: 0.4057 data_time: 0.0206 memory: 17006 grad_norm: 9.9470 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8358 loss: 1.8358 2022/07/29 21:39:29 - mmengine - INFO - Epoch(train) [133][240/3757] lr: 1.6543e-03 eta: 20:56:44 time: 0.4455 data_time: 0.0197 memory: 17006 grad_norm: 9.6361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6678 loss: 1.6678 2022/07/29 21:39:37 - mmengine - INFO - Epoch(train) [133][260/3757] lr: 1.6543e-03 eta: 20:56:35 time: 0.4101 data_time: 0.0216 memory: 17006 grad_norm: 9.6302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5091 loss: 1.5091 2022/07/29 21:39:45 - mmengine - INFO - Epoch(train) [133][280/3757] lr: 1.6543e-03 eta: 20:56:27 time: 0.4233 data_time: 0.0209 memory: 17006 grad_norm: 9.9319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/07/29 21:39:54 - mmengine - INFO - Epoch(train) [133][300/3757] lr: 1.6543e-03 eta: 20:56:18 time: 0.4078 data_time: 0.0221 memory: 17006 grad_norm: 9.8156 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3490 loss: 1.3490 2022/07/29 21:40:02 - mmengine - INFO - Epoch(train) [133][320/3757] lr: 1.6543e-03 eta: 20:56:10 time: 0.4114 data_time: 0.0204 memory: 17006 grad_norm: 9.7204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5123 loss: 1.5123 2022/07/29 21:40:10 - mmengine - INFO - Epoch(train) [133][340/3757] lr: 1.6543e-03 eta: 20:56:00 time: 0.4027 data_time: 0.0207 memory: 17006 grad_norm: 9.9992 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4126 loss: 1.4126 2022/07/29 21:40:18 - mmengine - INFO - Epoch(train) [133][360/3757] lr: 1.6543e-03 eta: 20:55:52 time: 0.4169 data_time: 0.0228 memory: 17006 grad_norm: 10.0591 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6171 loss: 1.6171 2022/07/29 21:40:27 - mmengine - INFO - Epoch(train) [133][380/3757] lr: 1.6543e-03 eta: 20:55:46 time: 0.4565 data_time: 0.0206 memory: 17006 grad_norm: 9.6696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4360 loss: 1.4360 2022/07/29 21:40:36 - mmengine - INFO - Epoch(train) [133][400/3757] lr: 1.6543e-03 eta: 20:55:37 time: 0.4088 data_time: 0.0225 memory: 17006 grad_norm: 9.5309 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4628 loss: 1.4628 2022/07/29 21:40:44 - mmengine - INFO - Epoch(train) [133][420/3757] lr: 1.6543e-03 eta: 20:55:28 time: 0.4123 data_time: 0.0206 memory: 17006 grad_norm: 10.2201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4086 loss: 1.4086 2022/07/29 21:40:52 - mmengine - INFO - Epoch(train) [133][440/3757] lr: 1.6543e-03 eta: 20:55:19 time: 0.4139 data_time: 0.0228 memory: 17006 grad_norm: 9.7569 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4935 loss: 1.4935 2022/07/29 21:41:00 - mmengine - INFO - Epoch(train) [133][460/3757] lr: 1.6543e-03 eta: 20:55:10 time: 0.4042 data_time: 0.0188 memory: 17006 grad_norm: 9.6772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3185 loss: 1.3185 2022/07/29 21:41:09 - mmengine - INFO - Epoch(train) [133][480/3757] lr: 1.6543e-03 eta: 20:55:02 time: 0.4177 data_time: 0.0205 memory: 17006 grad_norm: 10.0496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6835 loss: 1.6835 2022/07/29 21:41:17 - mmengine - INFO - Epoch(train) [133][500/3757] lr: 1.6543e-03 eta: 20:54:53 time: 0.4161 data_time: 0.0222 memory: 17006 grad_norm: 9.9697 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6612 loss: 1.6612 2022/07/29 21:41:25 - mmengine - INFO - Epoch(train) [133][520/3757] lr: 1.6543e-03 eta: 20:54:44 time: 0.4102 data_time: 0.0205 memory: 17006 grad_norm: 9.1672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4726 loss: 1.4726 2022/07/29 21:41:34 - mmengine - INFO - Epoch(train) [133][540/3757] lr: 1.6543e-03 eta: 20:54:37 time: 0.4335 data_time: 0.0221 memory: 17006 grad_norm: 9.4728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6151 loss: 1.6151 2022/07/29 21:41:42 - mmengine - INFO - Epoch(train) [133][560/3757] lr: 1.6543e-03 eta: 20:54:28 time: 0.4073 data_time: 0.0207 memory: 17006 grad_norm: 9.6734 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7201 loss: 1.7201 2022/07/29 21:41:50 - mmengine - INFO - Epoch(train) [133][580/3757] lr: 1.6543e-03 eta: 20:54:18 time: 0.4034 data_time: 0.0200 memory: 17006 grad_norm: 9.9181 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7006 loss: 1.7006 2022/07/29 21:41:59 - mmengine - INFO - Epoch(train) [133][600/3757] lr: 1.6543e-03 eta: 20:54:12 time: 0.4518 data_time: 0.0210 memory: 17006 grad_norm: 9.6452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2657 loss: 1.2657 2022/07/29 21:42:08 - mmengine - INFO - Epoch(train) [133][620/3757] lr: 1.6543e-03 eta: 20:54:04 time: 0.4232 data_time: 0.0209 memory: 17006 grad_norm: 10.2798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4593 loss: 1.4593 2022/07/29 21:42:16 - mmengine - INFO - Epoch(train) [133][640/3757] lr: 1.6543e-03 eta: 20:53:55 time: 0.4099 data_time: 0.0230 memory: 17006 grad_norm: 10.3113 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6246 loss: 1.6246 2022/07/29 21:42:24 - mmengine - INFO - Epoch(train) [133][660/3757] lr: 1.6543e-03 eta: 20:53:46 time: 0.4155 data_time: 0.0201 memory: 17006 grad_norm: 9.8021 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5603 loss: 1.5603 2022/07/29 21:42:33 - mmengine - INFO - Epoch(train) [133][680/3757] lr: 1.6543e-03 eta: 20:53:38 time: 0.4202 data_time: 0.0221 memory: 17006 grad_norm: 10.0273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4460 loss: 1.4460 2022/07/29 21:42:41 - mmengine - INFO - Epoch(train) [133][700/3757] lr: 1.6543e-03 eta: 20:53:29 time: 0.4038 data_time: 0.0204 memory: 17006 grad_norm: 9.6798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7174 loss: 1.7174 2022/07/29 21:42:49 - mmengine - INFO - Epoch(train) [133][720/3757] lr: 1.6543e-03 eta: 20:53:20 time: 0.4139 data_time: 0.0207 memory: 17006 grad_norm: 9.8960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4717 loss: 1.4717 2022/07/29 21:42:58 - mmengine - INFO - Epoch(train) [133][740/3757] lr: 1.6543e-03 eta: 20:53:12 time: 0.4258 data_time: 0.0228 memory: 17006 grad_norm: 9.7686 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5169 loss: 1.5169 2022/07/29 21:43:06 - mmengine - INFO - Epoch(train) [133][760/3757] lr: 1.6543e-03 eta: 20:53:03 time: 0.4131 data_time: 0.0210 memory: 17006 grad_norm: 9.8581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6367 loss: 1.6367 2022/07/29 21:43:14 - mmengine - INFO - Epoch(train) [133][780/3757] lr: 1.6543e-03 eta: 20:52:56 time: 0.4279 data_time: 0.0217 memory: 17006 grad_norm: 10.2120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4081 loss: 1.4081 2022/07/29 21:43:23 - mmengine - INFO - Epoch(train) [133][800/3757] lr: 1.6543e-03 eta: 20:52:47 time: 0.4191 data_time: 0.0203 memory: 17006 grad_norm: 10.1444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5143 loss: 1.5143 2022/07/29 21:43:31 - mmengine - INFO - Epoch(train) [133][820/3757] lr: 1.6543e-03 eta: 20:52:38 time: 0.4032 data_time: 0.0200 memory: 17006 grad_norm: 9.9589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1150 loss: 1.1150 2022/07/29 21:43:39 - mmengine - INFO - Epoch(train) [133][840/3757] lr: 1.6543e-03 eta: 20:52:29 time: 0.4104 data_time: 0.0216 memory: 17006 grad_norm: 10.0492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6361 loss: 1.6361 2022/07/29 21:43:47 - mmengine - INFO - Epoch(train) [133][860/3757] lr: 1.6543e-03 eta: 20:52:20 time: 0.4114 data_time: 0.0212 memory: 17006 grad_norm: 10.0018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6159 loss: 1.6159 2022/07/29 21:43:56 - mmengine - INFO - Epoch(train) [133][880/3757] lr: 1.6543e-03 eta: 20:52:12 time: 0.4127 data_time: 0.0220 memory: 17006 grad_norm: 10.2190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8052 loss: 1.8052 2022/07/29 21:44:04 - mmengine - INFO - Epoch(train) [133][900/3757] lr: 1.6543e-03 eta: 20:52:03 time: 0.4125 data_time: 0.0225 memory: 17006 grad_norm: 10.0430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6092 loss: 1.6092 2022/07/29 21:44:12 - mmengine - INFO - Epoch(train) [133][920/3757] lr: 1.6543e-03 eta: 20:51:55 time: 0.4212 data_time: 0.0219 memory: 17006 grad_norm: 10.0783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4430 loss: 1.4430 2022/07/29 21:44:21 - mmengine - INFO - Epoch(train) [133][940/3757] lr: 1.6543e-03 eta: 20:51:45 time: 0.4034 data_time: 0.0206 memory: 17006 grad_norm: 9.5088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4941 loss: 1.4941 2022/07/29 21:44:29 - mmengine - INFO - Epoch(train) [133][960/3757] lr: 1.6543e-03 eta: 20:51:37 time: 0.4120 data_time: 0.0202 memory: 17006 grad_norm: 10.0331 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5841 loss: 1.5841 2022/07/29 21:44:37 - mmengine - INFO - Epoch(train) [133][980/3757] lr: 1.6543e-03 eta: 20:51:28 time: 0.4169 data_time: 0.0233 memory: 17006 grad_norm: 9.5059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2612 loss: 1.2612 2022/07/29 21:44:45 - mmengine - INFO - Epoch(train) [133][1000/3757] lr: 1.6543e-03 eta: 20:51:20 time: 0.4153 data_time: 0.0201 memory: 17006 grad_norm: 10.0504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7134 loss: 1.7134 2022/07/29 21:44:54 - mmengine - INFO - Epoch(train) [133][1020/3757] lr: 1.6543e-03 eta: 20:51:11 time: 0.4181 data_time: 0.0221 memory: 17006 grad_norm: 9.8493 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8497 loss: 1.8497 2022/07/29 21:45:02 - mmengine - INFO - Epoch(train) [133][1040/3757] lr: 1.6543e-03 eta: 20:51:03 time: 0.4137 data_time: 0.0202 memory: 17006 grad_norm: 9.9878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4894 loss: 1.4894 2022/07/29 21:45:10 - mmengine - INFO - Epoch(train) [133][1060/3757] lr: 1.6543e-03 eta: 20:50:53 time: 0.4049 data_time: 0.0210 memory: 17006 grad_norm: 9.8671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5906 loss: 1.5906 2022/07/29 21:45:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:45:19 - mmengine - INFO - Epoch(train) [133][1080/3757] lr: 1.6543e-03 eta: 20:50:45 time: 0.4156 data_time: 0.0213 memory: 17006 grad_norm: 9.5452 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3987 loss: 1.3987 2022/07/29 21:45:27 - mmengine - INFO - Epoch(train) [133][1100/3757] lr: 1.6543e-03 eta: 20:50:37 time: 0.4243 data_time: 0.0228 memory: 17006 grad_norm: 9.8959 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5928 loss: 1.5928 2022/07/29 21:45:36 - mmengine - INFO - Epoch(train) [133][1120/3757] lr: 1.6543e-03 eta: 20:50:28 time: 0.4189 data_time: 0.0223 memory: 17006 grad_norm: 9.8463 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6385 loss: 1.6385 2022/07/29 21:45:44 - mmengine - INFO - Epoch(train) [133][1140/3757] lr: 1.6543e-03 eta: 20:50:20 time: 0.4123 data_time: 0.0194 memory: 17006 grad_norm: 9.7965 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6765 loss: 1.6765 2022/07/29 21:45:52 - mmengine - INFO - Epoch(train) [133][1160/3757] lr: 1.6543e-03 eta: 20:50:11 time: 0.4128 data_time: 0.0223 memory: 17006 grad_norm: 9.7150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/07/29 21:46:00 - mmengine - INFO - Epoch(train) [133][1180/3757] lr: 1.6543e-03 eta: 20:50:02 time: 0.4043 data_time: 0.0204 memory: 17006 grad_norm: 9.8570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5855 loss: 1.5855 2022/07/29 21:46:09 - mmengine - INFO - Epoch(train) [133][1200/3757] lr: 1.6543e-03 eta: 20:49:54 time: 0.4231 data_time: 0.0205 memory: 17006 grad_norm: 9.3971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/07/29 21:46:17 - mmengine - INFO - Epoch(train) [133][1220/3757] lr: 1.6543e-03 eta: 20:49:45 time: 0.4214 data_time: 0.0223 memory: 17006 grad_norm: 9.7304 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3274 loss: 1.3274 2022/07/29 21:46:26 - mmengine - INFO - Epoch(train) [133][1240/3757] lr: 1.6543e-03 eta: 20:49:37 time: 0.4184 data_time: 0.0210 memory: 17006 grad_norm: 10.0487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5903 loss: 1.5903 2022/07/29 21:46:35 - mmengine - INFO - Epoch(train) [133][1260/3757] lr: 1.6543e-03 eta: 20:49:31 time: 0.4609 data_time: 0.0239 memory: 17006 grad_norm: 9.7228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7369 loss: 1.7369 2022/07/29 21:46:43 - mmengine - INFO - Epoch(train) [133][1280/3757] lr: 1.6543e-03 eta: 20:49:22 time: 0.4090 data_time: 0.0212 memory: 17006 grad_norm: 9.8543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5425 loss: 1.5425 2022/07/29 21:46:51 - mmengine - INFO - Epoch(train) [133][1300/3757] lr: 1.6543e-03 eta: 20:49:13 time: 0.4051 data_time: 0.0202 memory: 17006 grad_norm: 9.6861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/07/29 21:46:59 - mmengine - INFO - Epoch(train) [133][1320/3757] lr: 1.6543e-03 eta: 20:49:04 time: 0.4157 data_time: 0.0221 memory: 17006 grad_norm: 9.9244 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6058 loss: 1.6058 2022/07/29 21:47:08 - mmengine - INFO - Epoch(train) [133][1340/3757] lr: 1.6543e-03 eta: 20:48:58 time: 0.4457 data_time: 0.0212 memory: 17006 grad_norm: 9.9070 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4073 loss: 1.4073 2022/07/29 21:47:17 - mmengine - INFO - Epoch(train) [133][1360/3757] lr: 1.6543e-03 eta: 20:48:49 time: 0.4078 data_time: 0.0224 memory: 17006 grad_norm: 9.9358 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4299 loss: 1.4299 2022/07/29 21:47:25 - mmengine - INFO - Epoch(train) [133][1380/3757] lr: 1.6543e-03 eta: 20:48:40 time: 0.4174 data_time: 0.0216 memory: 17006 grad_norm: 10.0908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5720 loss: 1.5720 2022/07/29 21:47:33 - mmengine - INFO - Epoch(train) [133][1400/3757] lr: 1.6543e-03 eta: 20:48:31 time: 0.4106 data_time: 0.0197 memory: 17006 grad_norm: 9.7005 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5143 loss: 1.5143 2022/07/29 21:47:41 - mmengine - INFO - Epoch(train) [133][1420/3757] lr: 1.6543e-03 eta: 20:48:22 time: 0.4050 data_time: 0.0207 memory: 17006 grad_norm: 10.0445 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5588 loss: 1.5588 2022/07/29 21:47:50 - mmengine - INFO - Epoch(train) [133][1440/3757] lr: 1.6543e-03 eta: 20:48:16 time: 0.4525 data_time: 0.0220 memory: 17006 grad_norm: 9.6980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6878 loss: 1.6878 2022/07/29 21:47:59 - mmengine - INFO - Epoch(train) [133][1460/3757] lr: 1.6543e-03 eta: 20:48:07 time: 0.4109 data_time: 0.0227 memory: 17006 grad_norm: 10.3729 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6556 loss: 1.6556 2022/07/29 21:48:07 - mmengine - INFO - Epoch(train) [133][1480/3757] lr: 1.6543e-03 eta: 20:48:00 time: 0.4340 data_time: 0.0217 memory: 17006 grad_norm: 9.9161 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5670 loss: 1.5670 2022/07/29 21:48:15 - mmengine - INFO - Epoch(train) [133][1500/3757] lr: 1.6543e-03 eta: 20:47:50 time: 0.4052 data_time: 0.0216 memory: 17006 grad_norm: 9.4834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5044 loss: 1.5044 2022/07/29 21:48:24 - mmengine - INFO - Epoch(train) [133][1520/3757] lr: 1.6543e-03 eta: 20:47:42 time: 0.4189 data_time: 0.0218 memory: 17006 grad_norm: 9.8450 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7418 loss: 1.7418 2022/07/29 21:48:32 - mmengine - INFO - Epoch(train) [133][1540/3757] lr: 1.6543e-03 eta: 20:47:33 time: 0.4079 data_time: 0.0197 memory: 17006 grad_norm: 9.6620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3551 loss: 1.3551 2022/07/29 21:48:40 - mmengine - INFO - Epoch(train) [133][1560/3757] lr: 1.6543e-03 eta: 20:47:24 time: 0.4041 data_time: 0.0187 memory: 17006 grad_norm: 10.1063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6379 loss: 1.6379 2022/07/29 21:48:49 - mmengine - INFO - Epoch(train) [133][1580/3757] lr: 1.6543e-03 eta: 20:47:16 time: 0.4207 data_time: 0.0212 memory: 17006 grad_norm: 9.8034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1943 loss: 1.1943 2022/07/29 21:48:57 - mmengine - INFO - Epoch(train) [133][1600/3757] lr: 1.6543e-03 eta: 20:47:07 time: 0.4075 data_time: 0.0215 memory: 17006 grad_norm: 9.9643 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7148 loss: 1.7148 2022/07/29 21:49:05 - mmengine - INFO - Epoch(train) [133][1620/3757] lr: 1.6543e-03 eta: 20:46:58 time: 0.4089 data_time: 0.0206 memory: 17006 grad_norm: 9.6922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5126 loss: 1.5126 2022/07/29 21:49:13 - mmengine - INFO - Epoch(train) [133][1640/3757] lr: 1.6543e-03 eta: 20:46:50 time: 0.4262 data_time: 0.0208 memory: 17006 grad_norm: 9.5885 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4501 loss: 1.4501 2022/07/29 21:49:22 - mmengine - INFO - Epoch(train) [133][1660/3757] lr: 1.6543e-03 eta: 20:46:40 time: 0.4038 data_time: 0.0207 memory: 17006 grad_norm: 9.5549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6663 loss: 1.6663 2022/07/29 21:49:30 - mmengine - INFO - Epoch(train) [133][1680/3757] lr: 1.6543e-03 eta: 20:46:32 time: 0.4162 data_time: 0.0219 memory: 17006 grad_norm: 9.7015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4010 loss: 1.4010 2022/07/29 21:49:39 - mmengine - INFO - Epoch(train) [133][1700/3757] lr: 1.6543e-03 eta: 20:46:24 time: 0.4298 data_time: 0.0214 memory: 17006 grad_norm: 9.9160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6031 loss: 1.6031 2022/07/29 21:49:47 - mmengine - INFO - Epoch(train) [133][1720/3757] lr: 1.6543e-03 eta: 20:46:16 time: 0.4210 data_time: 0.0225 memory: 17006 grad_norm: 9.4638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4244 loss: 1.4244 2022/07/29 21:49:56 - mmengine - INFO - Epoch(train) [133][1740/3757] lr: 1.6543e-03 eta: 20:46:09 time: 0.4434 data_time: 0.0210 memory: 17006 grad_norm: 9.7831 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3859 loss: 1.3859 2022/07/29 21:50:05 - mmengine - INFO - Epoch(train) [133][1760/3757] lr: 1.6543e-03 eta: 20:46:01 time: 0.4316 data_time: 0.0209 memory: 17006 grad_norm: 10.0548 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5501 loss: 1.5501 2022/07/29 21:50:13 - mmengine - INFO - Epoch(train) [133][1780/3757] lr: 1.6543e-03 eta: 20:45:53 time: 0.4174 data_time: 0.0218 memory: 17006 grad_norm: 9.9929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4065 loss: 1.4065 2022/07/29 21:50:21 - mmengine - INFO - Epoch(train) [133][1800/3757] lr: 1.6543e-03 eta: 20:45:44 time: 0.4035 data_time: 0.0199 memory: 17006 grad_norm: 9.7919 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2106 loss: 1.2106 2022/07/29 21:50:29 - mmengine - INFO - Epoch(train) [133][1820/3757] lr: 1.6543e-03 eta: 20:45:35 time: 0.4128 data_time: 0.0221 memory: 17006 grad_norm: 10.0017 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7937 loss: 1.7937 2022/07/29 21:50:38 - mmengine - INFO - Epoch(train) [133][1840/3757] lr: 1.6543e-03 eta: 20:45:27 time: 0.4244 data_time: 0.0220 memory: 17006 grad_norm: 9.7966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7588 loss: 1.7588 2022/07/29 21:50:46 - mmengine - INFO - Epoch(train) [133][1860/3757] lr: 1.6543e-03 eta: 20:45:19 time: 0.4237 data_time: 0.0200 memory: 17006 grad_norm: 9.8221 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4755 loss: 1.4755 2022/07/29 21:50:55 - mmengine - INFO - Epoch(train) [133][1880/3757] lr: 1.6543e-03 eta: 20:45:10 time: 0.4092 data_time: 0.0232 memory: 17006 grad_norm: 10.0342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4745 loss: 1.4745 2022/07/29 21:51:03 - mmengine - INFO - Epoch(train) [133][1900/3757] lr: 1.6543e-03 eta: 20:45:01 time: 0.4160 data_time: 0.0217 memory: 17006 grad_norm: 10.0462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4987 loss: 1.4987 2022/07/29 21:51:11 - mmengine - INFO - Epoch(train) [133][1920/3757] lr: 1.6543e-03 eta: 20:44:52 time: 0.4035 data_time: 0.0205 memory: 17006 grad_norm: 10.2552 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6410 loss: 1.6410 2022/07/29 21:51:20 - mmengine - INFO - Epoch(train) [133][1940/3757] lr: 1.6543e-03 eta: 20:44:45 time: 0.4370 data_time: 0.0201 memory: 17006 grad_norm: 9.7368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5342 loss: 1.5342 2022/07/29 21:51:28 - mmengine - INFO - Epoch(train) [133][1960/3757] lr: 1.6543e-03 eta: 20:44:36 time: 0.4145 data_time: 0.0226 memory: 17006 grad_norm: 10.1777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8159 loss: 1.8159 2022/07/29 21:51:37 - mmengine - INFO - Epoch(train) [133][1980/3757] lr: 1.6543e-03 eta: 20:44:29 time: 0.4355 data_time: 0.0209 memory: 17006 grad_norm: 10.0284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3852 loss: 1.3852 2022/07/29 21:51:45 - mmengine - INFO - Epoch(train) [133][2000/3757] lr: 1.6543e-03 eta: 20:44:20 time: 0.4174 data_time: 0.0225 memory: 17006 grad_norm: 9.5419 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3991 loss: 1.3991 2022/07/29 21:51:54 - mmengine - INFO - Epoch(train) [133][2020/3757] lr: 1.6543e-03 eta: 20:44:13 time: 0.4411 data_time: 0.0215 memory: 17006 grad_norm: 10.1775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5898 loss: 1.5898 2022/07/29 21:52:02 - mmengine - INFO - Epoch(train) [133][2040/3757] lr: 1.6543e-03 eta: 20:44:04 time: 0.4107 data_time: 0.0206 memory: 17006 grad_norm: 10.0421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6011 loss: 1.6011 2022/07/29 21:52:11 - mmengine - INFO - Epoch(train) [133][2060/3757] lr: 1.6543e-03 eta: 20:43:56 time: 0.4231 data_time: 0.0204 memory: 17006 grad_norm: 10.0755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3566 loss: 1.3566 2022/07/29 21:52:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:52:20 - mmengine - INFO - Epoch(train) [133][2080/3757] lr: 1.6543e-03 eta: 20:43:51 time: 0.4698 data_time: 0.0219 memory: 17006 grad_norm: 9.8920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5092 loss: 1.5092 2022/07/29 21:52:29 - mmengine - INFO - Epoch(train) [133][2100/3757] lr: 1.6543e-03 eta: 20:43:43 time: 0.4257 data_time: 0.0209 memory: 17006 grad_norm: 10.1215 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.7708 loss: 1.7708 2022/07/29 21:52:37 - mmengine - INFO - Epoch(train) [133][2120/3757] lr: 1.6543e-03 eta: 20:43:34 time: 0.4103 data_time: 0.0219 memory: 17006 grad_norm: 10.2709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8192 loss: 1.8192 2022/07/29 21:52:45 - mmengine - INFO - Epoch(train) [133][2140/3757] lr: 1.6543e-03 eta: 20:43:26 time: 0.4269 data_time: 0.0215 memory: 17006 grad_norm: 9.7164 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2932 loss: 1.2932 2022/07/29 21:52:54 - mmengine - INFO - Epoch(train) [133][2160/3757] lr: 1.6543e-03 eta: 20:43:17 time: 0.4123 data_time: 0.0221 memory: 17006 grad_norm: 10.0165 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5867 loss: 1.5867 2022/07/29 21:53:02 - mmengine - INFO - Epoch(train) [133][2180/3757] lr: 1.6543e-03 eta: 20:43:08 time: 0.4021 data_time: 0.0199 memory: 17006 grad_norm: 10.1743 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1722 loss: 1.1722 2022/07/29 21:53:11 - mmengine - INFO - Epoch(train) [133][2200/3757] lr: 1.6543e-03 eta: 20:43:01 time: 0.4461 data_time: 0.0212 memory: 17006 grad_norm: 9.9158 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6760 loss: 1.6760 2022/07/29 21:53:19 - mmengine - INFO - Epoch(train) [133][2220/3757] lr: 1.6543e-03 eta: 20:42:53 time: 0.4140 data_time: 0.0224 memory: 17006 grad_norm: 9.8229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7452 loss: 1.7452 2022/07/29 21:53:28 - mmengine - INFO - Epoch(train) [133][2240/3757] lr: 1.6543e-03 eta: 20:42:45 time: 0.4238 data_time: 0.0215 memory: 17006 grad_norm: 10.0823 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7974 loss: 1.7974 2022/07/29 21:53:36 - mmengine - INFO - Epoch(train) [133][2260/3757] lr: 1.6543e-03 eta: 20:42:36 time: 0.4098 data_time: 0.0230 memory: 17006 grad_norm: 10.0531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5060 loss: 1.5060 2022/07/29 21:53:44 - mmengine - INFO - Epoch(train) [133][2280/3757] lr: 1.6543e-03 eta: 20:42:27 time: 0.4193 data_time: 0.0205 memory: 17006 grad_norm: 9.8001 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6145 loss: 1.6145 2022/07/29 21:53:52 - mmengine - INFO - Epoch(train) [133][2300/3757] lr: 1.6543e-03 eta: 20:42:18 time: 0.4037 data_time: 0.0201 memory: 17006 grad_norm: 9.8494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2837 loss: 1.2837 2022/07/29 21:54:00 - mmengine - INFO - Epoch(train) [133][2320/3757] lr: 1.6543e-03 eta: 20:42:09 time: 0.4050 data_time: 0.0192 memory: 17006 grad_norm: 10.4007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5801 loss: 1.5801 2022/07/29 21:54:09 - mmengine - INFO - Epoch(train) [133][2340/3757] lr: 1.6543e-03 eta: 20:42:01 time: 0.4277 data_time: 0.0199 memory: 17006 grad_norm: 10.0977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9781 loss: 1.9781 2022/07/29 21:54:17 - mmengine - INFO - Epoch(train) [133][2360/3757] lr: 1.6543e-03 eta: 20:41:53 time: 0.4198 data_time: 0.0235 memory: 17006 grad_norm: 10.1858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5342 loss: 1.5342 2022/07/29 21:54:26 - mmengine - INFO - Epoch(train) [133][2380/3757] lr: 1.6543e-03 eta: 20:41:46 time: 0.4445 data_time: 0.0201 memory: 17006 grad_norm: 10.0581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5996 loss: 1.5996 2022/07/29 21:54:34 - mmengine - INFO - Epoch(train) [133][2400/3757] lr: 1.6543e-03 eta: 20:41:37 time: 0.4082 data_time: 0.0226 memory: 17006 grad_norm: 10.1864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7426 loss: 1.7426 2022/07/29 21:54:43 - mmengine - INFO - Epoch(train) [133][2420/3757] lr: 1.6543e-03 eta: 20:41:29 time: 0.4199 data_time: 0.0202 memory: 17006 grad_norm: 10.0477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3838 loss: 1.3838 2022/07/29 21:54:51 - mmengine - INFO - Epoch(train) [133][2440/3757] lr: 1.6543e-03 eta: 20:41:19 time: 0.4044 data_time: 0.0209 memory: 17006 grad_norm: 9.9676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4799 loss: 1.4799 2022/07/29 21:54:59 - mmengine - INFO - Epoch(train) [133][2460/3757] lr: 1.6543e-03 eta: 20:41:11 time: 0.4147 data_time: 0.0225 memory: 17006 grad_norm: 10.1347 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6741 loss: 1.6741 2022/07/29 21:55:08 - mmengine - INFO - Epoch(train) [133][2480/3757] lr: 1.6543e-03 eta: 20:41:02 time: 0.4177 data_time: 0.0208 memory: 17006 grad_norm: 10.0067 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5232 loss: 1.5232 2022/07/29 21:55:16 - mmengine - INFO - Epoch(train) [133][2500/3757] lr: 1.6543e-03 eta: 20:40:54 time: 0.4114 data_time: 0.0222 memory: 17006 grad_norm: 9.9306 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2958 loss: 1.2958 2022/07/29 21:55:25 - mmengine - INFO - Epoch(train) [133][2520/3757] lr: 1.6543e-03 eta: 20:40:46 time: 0.4317 data_time: 0.0198 memory: 17006 grad_norm: 10.2007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1663 loss: 1.1663 2022/07/29 21:55:33 - mmengine - INFO - Epoch(train) [133][2540/3757] lr: 1.6543e-03 eta: 20:40:38 time: 0.4197 data_time: 0.0246 memory: 17006 grad_norm: 10.0135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5842 loss: 1.5842 2022/07/29 21:55:41 - mmengine - INFO - Epoch(train) [133][2560/3757] lr: 1.6543e-03 eta: 20:40:28 time: 0.4038 data_time: 0.0203 memory: 17006 grad_norm: 9.8304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9673 loss: 1.9673 2022/07/29 21:55:50 - mmengine - INFO - Epoch(train) [133][2580/3757] lr: 1.6543e-03 eta: 20:40:23 time: 0.4616 data_time: 0.0197 memory: 17006 grad_norm: 9.8534 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2963 loss: 1.2963 2022/07/29 21:55:59 - mmengine - INFO - Epoch(train) [133][2600/3757] lr: 1.6543e-03 eta: 20:40:14 time: 0.4126 data_time: 0.0204 memory: 17006 grad_norm: 9.9784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5594 loss: 1.5594 2022/07/29 21:56:07 - mmengine - INFO - Epoch(train) [133][2620/3757] lr: 1.6543e-03 eta: 20:40:06 time: 0.4269 data_time: 0.0216 memory: 17006 grad_norm: 10.1797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6777 loss: 1.6777 2022/07/29 21:56:16 - mmengine - INFO - Epoch(train) [133][2640/3757] lr: 1.6543e-03 eta: 20:39:58 time: 0.4343 data_time: 0.0237 memory: 17006 grad_norm: 10.7494 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7684 loss: 1.7684 2022/07/29 21:56:24 - mmengine - INFO - Epoch(train) [133][2660/3757] lr: 1.6543e-03 eta: 20:39:50 time: 0.4189 data_time: 0.0205 memory: 17006 grad_norm: 10.0383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3808 loss: 1.3808 2022/07/29 21:56:33 - mmengine - INFO - Epoch(train) [133][2680/3757] lr: 1.6543e-03 eta: 20:39:41 time: 0.4108 data_time: 0.0204 memory: 17006 grad_norm: 10.1439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5731 loss: 1.5731 2022/07/29 21:56:41 - mmengine - INFO - Epoch(train) [133][2700/3757] lr: 1.6543e-03 eta: 20:39:32 time: 0.4116 data_time: 0.0201 memory: 17006 grad_norm: 9.5597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/07/29 21:56:49 - mmengine - INFO - Epoch(train) [133][2720/3757] lr: 1.6543e-03 eta: 20:39:24 time: 0.4135 data_time: 0.0202 memory: 17006 grad_norm: 9.9936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6989 loss: 1.6989 2022/07/29 21:56:58 - mmengine - INFO - Epoch(train) [133][2740/3757] lr: 1.6543e-03 eta: 20:39:16 time: 0.4289 data_time: 0.0222 memory: 17006 grad_norm: 9.5477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4702 loss: 1.4702 2022/07/29 21:57:06 - mmengine - INFO - Epoch(train) [133][2760/3757] lr: 1.6543e-03 eta: 20:39:07 time: 0.4076 data_time: 0.0211 memory: 17006 grad_norm: 9.6892 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2427 loss: 1.2427 2022/07/29 21:57:14 - mmengine - INFO - Epoch(train) [133][2780/3757] lr: 1.6543e-03 eta: 20:38:58 time: 0.4152 data_time: 0.0221 memory: 17006 grad_norm: 9.9064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1939 loss: 1.1939 2022/07/29 21:57:22 - mmengine - INFO - Epoch(train) [133][2800/3757] lr: 1.6543e-03 eta: 20:38:49 time: 0.4045 data_time: 0.0204 memory: 17006 grad_norm: 9.9687 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4124 loss: 1.4124 2022/07/29 21:57:31 - mmengine - INFO - Epoch(train) [133][2820/3757] lr: 1.6543e-03 eta: 20:38:41 time: 0.4151 data_time: 0.0206 memory: 17006 grad_norm: 9.6738 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4260 loss: 1.4260 2022/07/29 21:57:39 - mmengine - INFO - Epoch(train) [133][2840/3757] lr: 1.6543e-03 eta: 20:38:33 time: 0.4316 data_time: 0.0225 memory: 17006 grad_norm: 9.4293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3256 loss: 1.3256 2022/07/29 21:57:48 - mmengine - INFO - Epoch(train) [133][2860/3757] lr: 1.6543e-03 eta: 20:38:25 time: 0.4186 data_time: 0.0194 memory: 17006 grad_norm: 9.9240 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2437 loss: 1.2437 2022/07/29 21:57:56 - mmengine - INFO - Epoch(train) [133][2880/3757] lr: 1.6543e-03 eta: 20:38:17 time: 0.4354 data_time: 0.0204 memory: 17006 grad_norm: 10.0291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4899 loss: 1.4899 2022/07/29 21:58:05 - mmengine - INFO - Epoch(train) [133][2900/3757] lr: 1.6543e-03 eta: 20:38:09 time: 0.4176 data_time: 0.0212 memory: 17006 grad_norm: 9.6503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4089 loss: 1.4089 2022/07/29 21:58:13 - mmengine - INFO - Epoch(train) [133][2920/3757] lr: 1.6543e-03 eta: 20:38:00 time: 0.4135 data_time: 0.0199 memory: 17006 grad_norm: 9.8713 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5780 loss: 1.5780 2022/07/29 21:58:21 - mmengine - INFO - Epoch(train) [133][2940/3757] lr: 1.6543e-03 eta: 20:37:51 time: 0.4062 data_time: 0.0203 memory: 17006 grad_norm: 10.2352 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6980 loss: 1.6980 2022/07/29 21:58:30 - mmengine - INFO - Epoch(train) [133][2960/3757] lr: 1.6543e-03 eta: 20:37:43 time: 0.4254 data_time: 0.0211 memory: 17006 grad_norm: 9.8855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5242 loss: 1.5242 2022/07/29 21:58:38 - mmengine - INFO - Epoch(train) [133][2980/3757] lr: 1.6543e-03 eta: 20:37:35 time: 0.4183 data_time: 0.0227 memory: 17006 grad_norm: 10.4134 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3012 loss: 1.3012 2022/07/29 21:58:46 - mmengine - INFO - Epoch(train) [133][3000/3757] lr: 1.6543e-03 eta: 20:37:26 time: 0.4104 data_time: 0.0206 memory: 17006 grad_norm: 9.8191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6428 loss: 1.6428 2022/07/29 21:58:55 - mmengine - INFO - Epoch(train) [133][3020/3757] lr: 1.6543e-03 eta: 20:37:18 time: 0.4287 data_time: 0.0223 memory: 17006 grad_norm: 9.5616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5802 loss: 1.5802 2022/07/29 21:59:03 - mmengine - INFO - Epoch(train) [133][3040/3757] lr: 1.6543e-03 eta: 20:37:09 time: 0.4124 data_time: 0.0212 memory: 17006 grad_norm: 9.6749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4959 loss: 1.4959 2022/07/29 21:59:11 - mmengine - INFO - Epoch(train) [133][3060/3757] lr: 1.6543e-03 eta: 20:37:00 time: 0.4045 data_time: 0.0213 memory: 17006 grad_norm: 9.6948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5638 loss: 1.5638 2022/07/29 21:59:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 21:59:20 - mmengine - INFO - Epoch(train) [133][3080/3757] lr: 1.6543e-03 eta: 20:36:52 time: 0.4260 data_time: 0.0218 memory: 17006 grad_norm: 9.8553 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5135 loss: 1.5135 2022/07/29 21:59:29 - mmengine - INFO - Epoch(train) [133][3100/3757] lr: 1.6543e-03 eta: 20:36:44 time: 0.4309 data_time: 0.0201 memory: 17006 grad_norm: 10.2285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3086 loss: 1.3086 2022/07/29 21:59:37 - mmengine - INFO - Epoch(train) [133][3120/3757] lr: 1.6543e-03 eta: 20:36:36 time: 0.4099 data_time: 0.0243 memory: 17006 grad_norm: 10.1666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4737 loss: 1.4737 2022/07/29 21:59:45 - mmengine - INFO - Epoch(train) [133][3140/3757] lr: 1.6543e-03 eta: 20:36:28 time: 0.4265 data_time: 0.0204 memory: 17006 grad_norm: 9.7067 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1717 loss: 1.1717 2022/07/29 21:59:54 - mmengine - INFO - Epoch(train) [133][3160/3757] lr: 1.6543e-03 eta: 20:36:19 time: 0.4091 data_time: 0.0221 memory: 17006 grad_norm: 10.0148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2267 loss: 1.2267 2022/07/29 22:00:02 - mmengine - INFO - Epoch(train) [133][3180/3757] lr: 1.6543e-03 eta: 20:36:10 time: 0.4035 data_time: 0.0189 memory: 17006 grad_norm: 10.2424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3067 loss: 1.3067 2022/07/29 22:00:10 - mmengine - INFO - Epoch(train) [133][3200/3757] lr: 1.6543e-03 eta: 20:36:02 time: 0.4265 data_time: 0.0198 memory: 17006 grad_norm: 10.0395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6151 loss: 1.6151 2022/07/29 22:00:18 - mmengine - INFO - Epoch(train) [133][3220/3757] lr: 1.6543e-03 eta: 20:35:53 time: 0.4100 data_time: 0.0220 memory: 17006 grad_norm: 10.0874 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5096 loss: 1.5096 2022/07/29 22:00:27 - mmengine - INFO - Epoch(train) [133][3240/3757] lr: 1.6543e-03 eta: 20:35:46 time: 0.4424 data_time: 0.0200 memory: 17006 grad_norm: 9.7171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4243 loss: 1.4243 2022/07/29 22:00:36 - mmengine - INFO - Epoch(train) [133][3260/3757] lr: 1.6543e-03 eta: 20:35:37 time: 0.4098 data_time: 0.0221 memory: 17006 grad_norm: 9.8730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5843 loss: 1.5843 2022/07/29 22:00:45 - mmengine - INFO - Epoch(train) [133][3280/3757] lr: 1.6543e-03 eta: 20:35:31 time: 0.4661 data_time: 0.0197 memory: 17006 grad_norm: 10.1731 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4542 loss: 1.4542 2022/07/29 22:00:53 - mmengine - INFO - Epoch(train) [133][3300/3757] lr: 1.6543e-03 eta: 20:35:22 time: 0.4054 data_time: 0.0183 memory: 17006 grad_norm: 9.8133 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5120 loss: 1.5120 2022/07/29 22:01:01 - mmengine - INFO - Epoch(train) [133][3320/3757] lr: 1.6543e-03 eta: 20:35:13 time: 0.4063 data_time: 0.0198 memory: 17006 grad_norm: 9.9508 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6092 loss: 1.6092 2022/07/29 22:01:10 - mmengine - INFO - Epoch(train) [133][3340/3757] lr: 1.6543e-03 eta: 20:35:05 time: 0.4203 data_time: 0.0217 memory: 17006 grad_norm: 9.8208 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2610 loss: 1.2610 2022/07/29 22:01:18 - mmengine - INFO - Epoch(train) [133][3360/3757] lr: 1.6543e-03 eta: 20:34:56 time: 0.4086 data_time: 0.0214 memory: 17006 grad_norm: 10.1764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/07/29 22:01:26 - mmengine - INFO - Epoch(train) [133][3380/3757] lr: 1.6543e-03 eta: 20:34:47 time: 0.4056 data_time: 0.0204 memory: 17006 grad_norm: 9.8162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4286 loss: 1.4286 2022/07/29 22:01:34 - mmengine - INFO - Epoch(train) [133][3400/3757] lr: 1.6543e-03 eta: 20:34:38 time: 0.4068 data_time: 0.0218 memory: 17006 grad_norm: 9.9794 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6480 loss: 1.6480 2022/07/29 22:01:42 - mmengine - INFO - Epoch(train) [133][3420/3757] lr: 1.6543e-03 eta: 20:34:28 time: 0.4039 data_time: 0.0201 memory: 17006 grad_norm: 10.2429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7660 loss: 1.7660 2022/07/29 22:01:51 - mmengine - INFO - Epoch(train) [133][3440/3757] lr: 1.6543e-03 eta: 20:34:20 time: 0.4187 data_time: 0.0207 memory: 17006 grad_norm: 10.2585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3391 loss: 1.3391 2022/07/29 22:01:59 - mmengine - INFO - Epoch(train) [133][3460/3757] lr: 1.6543e-03 eta: 20:34:11 time: 0.4082 data_time: 0.0230 memory: 17006 grad_norm: 10.0415 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3250 loss: 1.3250 2022/07/29 22:02:07 - mmengine - INFO - Epoch(train) [133][3480/3757] lr: 1.6543e-03 eta: 20:34:02 time: 0.4118 data_time: 0.0205 memory: 17006 grad_norm: 9.4494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6183 loss: 1.6183 2022/07/29 22:02:15 - mmengine - INFO - Epoch(train) [133][3500/3757] lr: 1.6543e-03 eta: 20:33:54 time: 0.4157 data_time: 0.0231 memory: 17006 grad_norm: 9.9667 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6280 loss: 1.6280 2022/07/29 22:02:24 - mmengine - INFO - Epoch(train) [133][3520/3757] lr: 1.6543e-03 eta: 20:33:46 time: 0.4211 data_time: 0.0205 memory: 17006 grad_norm: 9.7468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4192 loss: 1.4192 2022/07/29 22:02:32 - mmengine - INFO - Epoch(train) [133][3540/3757] lr: 1.6543e-03 eta: 20:33:36 time: 0.4039 data_time: 0.0200 memory: 17006 grad_norm: 9.8131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4276 loss: 1.4276 2022/07/29 22:02:40 - mmengine - INFO - Epoch(train) [133][3560/3757] lr: 1.6543e-03 eta: 20:33:28 time: 0.4166 data_time: 0.0209 memory: 17006 grad_norm: 10.0730 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2662 loss: 1.2662 2022/07/29 22:02:49 - mmengine - INFO - Epoch(train) [133][3580/3757] lr: 1.6543e-03 eta: 20:33:19 time: 0.4109 data_time: 0.0206 memory: 17006 grad_norm: 10.4345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7360 loss: 1.7360 2022/07/29 22:02:57 - mmengine - INFO - Epoch(train) [133][3600/3757] lr: 1.6543e-03 eta: 20:33:12 time: 0.4394 data_time: 0.0233 memory: 17006 grad_norm: 9.8960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0703 loss: 1.0703 2022/07/29 22:03:05 - mmengine - INFO - Epoch(train) [133][3620/3757] lr: 1.6543e-03 eta: 20:33:03 time: 0.4065 data_time: 0.0205 memory: 17006 grad_norm: 10.3132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5277 loss: 1.5277 2022/07/29 22:03:14 - mmengine - INFO - Epoch(train) [133][3640/3757] lr: 1.6543e-03 eta: 20:32:54 time: 0.4192 data_time: 0.0227 memory: 17006 grad_norm: 9.7988 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2416 loss: 1.2416 2022/07/29 22:03:22 - mmengine - INFO - Epoch(train) [133][3660/3757] lr: 1.6543e-03 eta: 20:32:45 time: 0.4052 data_time: 0.0213 memory: 17006 grad_norm: 9.8222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3365 loss: 1.3365 2022/07/29 22:03:31 - mmengine - INFO - Epoch(train) [133][3680/3757] lr: 1.6543e-03 eta: 20:32:37 time: 0.4226 data_time: 0.0206 memory: 17006 grad_norm: 9.7329 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5658 loss: 1.5658 2022/07/29 22:03:39 - mmengine - INFO - Epoch(train) [133][3700/3757] lr: 1.6543e-03 eta: 20:32:29 time: 0.4162 data_time: 0.0204 memory: 17006 grad_norm: 9.8069 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4068 loss: 1.4068 2022/07/29 22:03:47 - mmengine - INFO - Epoch(train) [133][3720/3757] lr: 1.6543e-03 eta: 20:32:19 time: 0.4047 data_time: 0.0213 memory: 17006 grad_norm: 10.4357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5541 loss: 1.5541 2022/07/29 22:03:55 - mmengine - INFO - Epoch(train) [133][3740/3757] lr: 1.6543e-03 eta: 20:32:11 time: 0.4220 data_time: 0.0229 memory: 17006 grad_norm: 9.9363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4376 loss: 1.4376 2022/07/29 22:04:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:04:02 - mmengine - INFO - Epoch(train) [133][3757/3757] lr: 1.6543e-03 eta: 20:32:11 time: 0.3938 data_time: 0.0194 memory: 17006 grad_norm: 10.2608 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.4535 loss: 1.4535 2022/07/29 22:04:02 - mmengine - INFO - Saving checkpoint at 133 epochs 2022/07/29 22:04:15 - mmengine - INFO - Epoch(train) [134][20/3757] lr: 1.5900e-03 eta: 20:31:40 time: 0.4893 data_time: 0.0648 memory: 17006 grad_norm: 9.7628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/07/29 22:04:23 - mmengine - INFO - Epoch(train) [134][40/3757] lr: 1.5900e-03 eta: 20:31:31 time: 0.4051 data_time: 0.0218 memory: 17006 grad_norm: 9.9393 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5710 loss: 1.5710 2022/07/29 22:04:31 - mmengine - INFO - Epoch(train) [134][60/3757] lr: 1.5900e-03 eta: 20:31:22 time: 0.4096 data_time: 0.0179 memory: 17006 grad_norm: 9.7184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4660 loss: 1.4660 2022/07/29 22:04:41 - mmengine - INFO - Epoch(train) [134][80/3757] lr: 1.5900e-03 eta: 20:31:16 time: 0.4642 data_time: 0.0221 memory: 17006 grad_norm: 10.0428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3715 loss: 1.3715 2022/07/29 22:04:49 - mmengine - INFO - Epoch(train) [134][100/3757] lr: 1.5900e-03 eta: 20:31:07 time: 0.4120 data_time: 0.0185 memory: 17006 grad_norm: 9.6915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5279 loss: 1.5279 2022/07/29 22:04:58 - mmengine - INFO - Epoch(train) [134][120/3757] lr: 1.5900e-03 eta: 20:31:00 time: 0.4384 data_time: 0.0240 memory: 17006 grad_norm: 9.5503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6414 loss: 1.6414 2022/07/29 22:05:06 - mmengine - INFO - Epoch(train) [134][140/3757] lr: 1.5900e-03 eta: 20:30:51 time: 0.4054 data_time: 0.0186 memory: 17006 grad_norm: 10.0141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6510 loss: 1.6510 2022/07/29 22:05:15 - mmengine - INFO - Epoch(train) [134][160/3757] lr: 1.5900e-03 eta: 20:30:44 time: 0.4445 data_time: 0.0230 memory: 17006 grad_norm: 9.7329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6229 loss: 1.6229 2022/07/29 22:05:23 - mmengine - INFO - Epoch(train) [134][180/3757] lr: 1.5900e-03 eta: 20:30:35 time: 0.4027 data_time: 0.0189 memory: 17006 grad_norm: 9.6969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4232 loss: 1.4232 2022/07/29 22:05:31 - mmengine - INFO - Epoch(train) [134][200/3757] lr: 1.5900e-03 eta: 20:30:26 time: 0.4076 data_time: 0.0214 memory: 17006 grad_norm: 9.9441 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4695 loss: 1.4695 2022/07/29 22:05:40 - mmengine - INFO - Epoch(train) [134][220/3757] lr: 1.5900e-03 eta: 20:30:19 time: 0.4388 data_time: 0.0200 memory: 17006 grad_norm: 10.0812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4539 loss: 1.4539 2022/07/29 22:05:48 - mmengine - INFO - Epoch(train) [134][240/3757] lr: 1.5900e-03 eta: 20:30:10 time: 0.4094 data_time: 0.0211 memory: 17006 grad_norm: 9.5400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5664 loss: 1.5664 2022/07/29 22:05:56 - mmengine - INFO - Epoch(train) [134][260/3757] lr: 1.5900e-03 eta: 20:30:01 time: 0.4125 data_time: 0.0202 memory: 17006 grad_norm: 9.5998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5920 loss: 1.5920 2022/07/29 22:06:05 - mmengine - INFO - Epoch(train) [134][280/3757] lr: 1.5900e-03 eta: 20:29:53 time: 0.4290 data_time: 0.0210 memory: 17006 grad_norm: 9.9580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4147 loss: 1.4147 2022/07/29 22:06:13 - mmengine - INFO - Epoch(train) [134][300/3757] lr: 1.5900e-03 eta: 20:29:44 time: 0.4022 data_time: 0.0181 memory: 17006 grad_norm: 9.8322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2713 loss: 1.2713 2022/07/29 22:06:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:06:21 - mmengine - INFO - Epoch(train) [134][320/3757] lr: 1.5900e-03 eta: 20:29:35 time: 0.4140 data_time: 0.0227 memory: 17006 grad_norm: 9.7738 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4730 loss: 1.4730 2022/07/29 22:06:29 - mmengine - INFO - Epoch(train) [134][340/3757] lr: 1.5900e-03 eta: 20:29:26 time: 0.4083 data_time: 0.0200 memory: 17006 grad_norm: 9.5398 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6405 loss: 1.6405 2022/07/29 22:06:38 - mmengine - INFO - Epoch(train) [134][360/3757] lr: 1.5900e-03 eta: 20:29:18 time: 0.4123 data_time: 0.0232 memory: 17006 grad_norm: 10.4286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6374 loss: 1.6374 2022/07/29 22:06:46 - mmengine - INFO - Epoch(train) [134][380/3757] lr: 1.5900e-03 eta: 20:29:09 time: 0.4055 data_time: 0.0171 memory: 17006 grad_norm: 9.6308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3488 loss: 1.3488 2022/07/29 22:06:55 - mmengine - INFO - Epoch(train) [134][400/3757] lr: 1.5900e-03 eta: 20:29:02 time: 0.4419 data_time: 0.0227 memory: 17006 grad_norm: 10.2009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6836 loss: 1.6836 2022/07/29 22:07:03 - mmengine - INFO - Epoch(train) [134][420/3757] lr: 1.5900e-03 eta: 20:28:52 time: 0.4034 data_time: 0.0179 memory: 17006 grad_norm: 9.9747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4879 loss: 1.4879 2022/07/29 22:07:11 - mmengine - INFO - Epoch(train) [134][440/3757] lr: 1.5900e-03 eta: 20:28:44 time: 0.4169 data_time: 0.0210 memory: 17006 grad_norm: 10.0154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4268 loss: 1.4268 2022/07/29 22:07:20 - mmengine - INFO - Epoch(train) [134][460/3757] lr: 1.5900e-03 eta: 20:28:36 time: 0.4229 data_time: 0.0214 memory: 17006 grad_norm: 10.2235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4774 loss: 1.4774 2022/07/29 22:07:28 - mmengine - INFO - Epoch(train) [134][480/3757] lr: 1.5900e-03 eta: 20:28:27 time: 0.4062 data_time: 0.0211 memory: 17006 grad_norm: 9.8880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3709 loss: 1.3709 2022/07/29 22:07:36 - mmengine - INFO - Epoch(train) [134][500/3757] lr: 1.5900e-03 eta: 20:28:18 time: 0.4161 data_time: 0.0191 memory: 17006 grad_norm: 10.1244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4039 loss: 1.4039 2022/07/29 22:07:44 - mmengine - INFO - Epoch(train) [134][520/3757] lr: 1.5900e-03 eta: 20:28:09 time: 0.4088 data_time: 0.0205 memory: 17006 grad_norm: 10.1796 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4633 loss: 1.4633 2022/07/29 22:07:52 - mmengine - INFO - Epoch(train) [134][540/3757] lr: 1.5900e-03 eta: 20:28:00 time: 0.4025 data_time: 0.0181 memory: 17006 grad_norm: 10.0055 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/07/29 22:08:01 - mmengine - INFO - Epoch(train) [134][560/3757] lr: 1.5900e-03 eta: 20:27:52 time: 0.4297 data_time: 0.0240 memory: 17006 grad_norm: 10.4457 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4911 loss: 1.4911 2022/07/29 22:08:09 - mmengine - INFO - Epoch(train) [134][580/3757] lr: 1.5900e-03 eta: 20:27:44 time: 0.4201 data_time: 0.0202 memory: 17006 grad_norm: 10.0880 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3001 loss: 1.3001 2022/07/29 22:08:18 - mmengine - INFO - Epoch(train) [134][600/3757] lr: 1.5900e-03 eta: 20:27:36 time: 0.4169 data_time: 0.0208 memory: 17006 grad_norm: 10.2167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4775 loss: 1.4775 2022/07/29 22:08:26 - mmengine - INFO - Epoch(train) [134][620/3757] lr: 1.5900e-03 eta: 20:27:27 time: 0.4172 data_time: 0.0196 memory: 17006 grad_norm: 9.8554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4648 loss: 1.4648 2022/07/29 22:08:35 - mmengine - INFO - Epoch(train) [134][640/3757] lr: 1.5900e-03 eta: 20:27:19 time: 0.4186 data_time: 0.0215 memory: 17006 grad_norm: 9.9550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3177 loss: 1.3177 2022/07/29 22:08:43 - mmengine - INFO - Epoch(train) [134][660/3757] lr: 1.5900e-03 eta: 20:27:10 time: 0.4031 data_time: 0.0183 memory: 17006 grad_norm: 9.9879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5653 loss: 1.5653 2022/07/29 22:08:51 - mmengine - INFO - Epoch(train) [134][680/3757] lr: 1.5900e-03 eta: 20:27:01 time: 0.4239 data_time: 0.0215 memory: 17006 grad_norm: 10.3152 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7768 loss: 1.7768 2022/07/29 22:09:00 - mmengine - INFO - Epoch(train) [134][700/3757] lr: 1.5900e-03 eta: 20:26:53 time: 0.4209 data_time: 0.0192 memory: 17006 grad_norm: 9.8952 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4586 loss: 1.4586 2022/07/29 22:09:08 - mmengine - INFO - Epoch(train) [134][720/3757] lr: 1.5900e-03 eta: 20:26:44 time: 0.4086 data_time: 0.0222 memory: 17006 grad_norm: 9.8647 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3889 loss: 1.3889 2022/07/29 22:09:16 - mmengine - INFO - Epoch(train) [134][740/3757] lr: 1.5900e-03 eta: 20:26:36 time: 0.4194 data_time: 0.0194 memory: 17006 grad_norm: 9.6941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6822 loss: 1.6822 2022/07/29 22:09:24 - mmengine - INFO - Epoch(train) [134][760/3757] lr: 1.5900e-03 eta: 20:26:27 time: 0.4070 data_time: 0.0232 memory: 17006 grad_norm: 9.8708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4314 loss: 1.4314 2022/07/29 22:09:32 - mmengine - INFO - Epoch(train) [134][780/3757] lr: 1.5900e-03 eta: 20:26:18 time: 0.4033 data_time: 0.0177 memory: 17006 grad_norm: 9.9951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4746 loss: 1.4746 2022/07/29 22:09:41 - mmengine - INFO - Epoch(train) [134][800/3757] lr: 1.5900e-03 eta: 20:26:10 time: 0.4302 data_time: 0.0231 memory: 17006 grad_norm: 10.3123 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3855 loss: 1.3855 2022/07/29 22:09:49 - mmengine - INFO - Epoch(train) [134][820/3757] lr: 1.5900e-03 eta: 20:26:02 time: 0.4158 data_time: 0.0190 memory: 17006 grad_norm: 9.8339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5486 loss: 1.5486 2022/07/29 22:09:58 - mmengine - INFO - Epoch(train) [134][840/3757] lr: 1.5900e-03 eta: 20:25:53 time: 0.4142 data_time: 0.0258 memory: 17006 grad_norm: 9.9840 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/07/29 22:10:06 - mmengine - INFO - Epoch(train) [134][860/3757] lr: 1.5900e-03 eta: 20:25:44 time: 0.4072 data_time: 0.0184 memory: 17006 grad_norm: 9.6228 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3788 loss: 1.3788 2022/07/29 22:10:14 - mmengine - INFO - Epoch(train) [134][880/3757] lr: 1.5900e-03 eta: 20:25:35 time: 0.4081 data_time: 0.0204 memory: 17006 grad_norm: 10.1673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3388 loss: 1.3388 2022/07/29 22:10:23 - mmengine - INFO - Epoch(train) [134][900/3757] lr: 1.5900e-03 eta: 20:25:29 time: 0.4655 data_time: 0.0193 memory: 17006 grad_norm: 9.8273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2232 loss: 1.2232 2022/07/29 22:10:32 - mmengine - INFO - Epoch(train) [134][920/3757] lr: 1.5900e-03 eta: 20:25:20 time: 0.4086 data_time: 0.0225 memory: 17006 grad_norm: 9.5860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4115 loss: 1.4115 2022/07/29 22:10:40 - mmengine - INFO - Epoch(train) [134][940/3757] lr: 1.5900e-03 eta: 20:25:12 time: 0.4127 data_time: 0.0197 memory: 17006 grad_norm: 9.7434 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6860 loss: 1.6860 2022/07/29 22:10:48 - mmengine - INFO - Epoch(train) [134][960/3757] lr: 1.5900e-03 eta: 20:25:03 time: 0.4072 data_time: 0.0219 memory: 17006 grad_norm: 9.6792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4103 loss: 1.4103 2022/07/29 22:10:56 - mmengine - INFO - Epoch(train) [134][980/3757] lr: 1.5900e-03 eta: 20:24:54 time: 0.4214 data_time: 0.0187 memory: 17006 grad_norm: 10.1480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1330 loss: 1.1330 2022/07/29 22:11:05 - mmengine - INFO - Epoch(train) [134][1000/3757] lr: 1.5900e-03 eta: 20:24:45 time: 0.4084 data_time: 0.0230 memory: 17006 grad_norm: 11.0234 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5512 loss: 1.5512 2022/07/29 22:11:13 - mmengine - INFO - Epoch(train) [134][1020/3757] lr: 1.5900e-03 eta: 20:24:36 time: 0.4025 data_time: 0.0182 memory: 17006 grad_norm: 10.0831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3700 loss: 1.3700 2022/07/29 22:11:22 - mmengine - INFO - Epoch(train) [134][1040/3757] lr: 1.5900e-03 eta: 20:24:29 time: 0.4422 data_time: 0.0220 memory: 17006 grad_norm: 9.8951 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5602 loss: 1.5602 2022/07/29 22:11:30 - mmengine - INFO - Epoch(train) [134][1060/3757] lr: 1.5900e-03 eta: 20:24:20 time: 0.4060 data_time: 0.0199 memory: 17006 grad_norm: 10.2810 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5394 loss: 1.5394 2022/07/29 22:11:38 - mmengine - INFO - Epoch(train) [134][1080/3757] lr: 1.5900e-03 eta: 20:24:12 time: 0.4272 data_time: 0.0218 memory: 17006 grad_norm: 9.9273 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6468 loss: 1.6468 2022/07/29 22:11:47 - mmengine - INFO - Epoch(train) [134][1100/3757] lr: 1.5900e-03 eta: 20:24:03 time: 0.4067 data_time: 0.0194 memory: 17006 grad_norm: 9.8886 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7992 loss: 1.7992 2022/07/29 22:11:55 - mmengine - INFO - Epoch(train) [134][1120/3757] lr: 1.5900e-03 eta: 20:23:55 time: 0.4282 data_time: 0.0241 memory: 17006 grad_norm: 9.8875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4468 loss: 1.4468 2022/07/29 22:12:03 - mmengine - INFO - Epoch(train) [134][1140/3757] lr: 1.5900e-03 eta: 20:23:46 time: 0.4038 data_time: 0.0194 memory: 17006 grad_norm: 9.7983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5102 loss: 1.5102 2022/07/29 22:12:11 - mmengine - INFO - Epoch(train) [134][1160/3757] lr: 1.5900e-03 eta: 20:23:37 time: 0.4066 data_time: 0.0220 memory: 17006 grad_norm: 9.9002 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5325 loss: 1.5325 2022/07/29 22:12:20 - mmengine - INFO - Epoch(train) [134][1180/3757] lr: 1.5900e-03 eta: 20:23:29 time: 0.4267 data_time: 0.0209 memory: 17006 grad_norm: 10.0595 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1914 loss: 1.1914 2022/07/29 22:12:28 - mmengine - INFO - Epoch(train) [134][1200/3757] lr: 1.5900e-03 eta: 20:23:20 time: 0.4051 data_time: 0.0220 memory: 17006 grad_norm: 9.7418 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5240 loss: 1.5240 2022/07/29 22:12:37 - mmengine - INFO - Epoch(train) [134][1220/3757] lr: 1.5900e-03 eta: 20:23:12 time: 0.4306 data_time: 0.0223 memory: 17006 grad_norm: 9.7384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2998 loss: 1.2998 2022/07/29 22:12:45 - mmengine - INFO - Epoch(train) [134][1240/3757] lr: 1.5900e-03 eta: 20:23:03 time: 0.4068 data_time: 0.0218 memory: 17006 grad_norm: 9.6779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3932 loss: 1.3932 2022/07/29 22:12:53 - mmengine - INFO - Epoch(train) [134][1260/3757] lr: 1.5900e-03 eta: 20:22:54 time: 0.4035 data_time: 0.0197 memory: 17006 grad_norm: 9.6160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5366 loss: 1.5366 2022/07/29 22:13:02 - mmengine - INFO - Epoch(train) [134][1280/3757] lr: 1.5900e-03 eta: 20:22:46 time: 0.4297 data_time: 0.0209 memory: 17006 grad_norm: 9.5623 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6157 loss: 1.6157 2022/07/29 22:13:10 - mmengine - INFO - Epoch(train) [134][1300/3757] lr: 1.5900e-03 eta: 20:22:37 time: 0.4038 data_time: 0.0202 memory: 17006 grad_norm: 10.1239 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4523 loss: 1.4523 2022/07/29 22:13:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:13:18 - mmengine - INFO - Epoch(train) [134][1320/3757] lr: 1.5900e-03 eta: 20:22:29 time: 0.4141 data_time: 0.0214 memory: 17006 grad_norm: 10.2013 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5186 loss: 1.5186 2022/07/29 22:13:26 - mmengine - INFO - Epoch(train) [134][1340/3757] lr: 1.5900e-03 eta: 20:22:20 time: 0.4045 data_time: 0.0183 memory: 17006 grad_norm: 9.5301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2048 loss: 1.2048 2022/07/29 22:13:34 - mmengine - INFO - Epoch(train) [134][1360/3757] lr: 1.5900e-03 eta: 20:22:11 time: 0.4066 data_time: 0.0213 memory: 17006 grad_norm: 10.2829 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4649 loss: 1.4649 2022/07/29 22:13:43 - mmengine - INFO - Epoch(train) [134][1380/3757] lr: 1.5900e-03 eta: 20:22:03 time: 0.4277 data_time: 0.0180 memory: 17006 grad_norm: 9.9412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1724 loss: 1.1724 2022/07/29 22:13:51 - mmengine - INFO - Epoch(train) [134][1400/3757] lr: 1.5900e-03 eta: 20:21:54 time: 0.4113 data_time: 0.0214 memory: 17006 grad_norm: 10.2910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5136 loss: 1.5136 2022/07/29 22:13:59 - mmengine - INFO - Epoch(train) [134][1420/3757] lr: 1.5900e-03 eta: 20:21:45 time: 0.4062 data_time: 0.0192 memory: 17006 grad_norm: 9.6522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1883 loss: 1.1883 2022/07/29 22:14:07 - mmengine - INFO - Epoch(train) [134][1440/3757] lr: 1.5900e-03 eta: 20:21:36 time: 0.4071 data_time: 0.0228 memory: 17006 grad_norm: 9.7872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6247 loss: 1.6247 2022/07/29 22:14:15 - mmengine - INFO - Epoch(train) [134][1460/3757] lr: 1.5900e-03 eta: 20:21:27 time: 0.4052 data_time: 0.0191 memory: 17006 grad_norm: 9.8801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2543 loss: 1.2543 2022/07/29 22:14:24 - mmengine - INFO - Epoch(train) [134][1480/3757] lr: 1.5900e-03 eta: 20:21:18 time: 0.4052 data_time: 0.0208 memory: 17006 grad_norm: 10.3570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6741 loss: 1.6741 2022/07/29 22:14:32 - mmengine - INFO - Epoch(train) [134][1500/3757] lr: 1.5900e-03 eta: 20:21:09 time: 0.4054 data_time: 0.0197 memory: 17006 grad_norm: 9.7726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6813 loss: 1.6813 2022/07/29 22:14:40 - mmengine - INFO - Epoch(train) [134][1520/3757] lr: 1.5900e-03 eta: 20:21:00 time: 0.4068 data_time: 0.0218 memory: 17006 grad_norm: 10.4093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5725 loss: 1.5725 2022/07/29 22:14:48 - mmengine - INFO - Epoch(train) [134][1540/3757] lr: 1.5900e-03 eta: 20:20:51 time: 0.4183 data_time: 0.0189 memory: 17006 grad_norm: 10.1127 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5363 loss: 1.5363 2022/07/29 22:14:57 - mmengine - INFO - Epoch(train) [134][1560/3757] lr: 1.5900e-03 eta: 20:20:43 time: 0.4119 data_time: 0.0224 memory: 17006 grad_norm: 9.8625 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5826 loss: 1.5826 2022/07/29 22:15:05 - mmengine - INFO - Epoch(train) [134][1580/3757] lr: 1.5900e-03 eta: 20:20:33 time: 0.4046 data_time: 0.0180 memory: 17006 grad_norm: 10.2648 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5493 loss: 1.5493 2022/07/29 22:15:13 - mmengine - INFO - Epoch(train) [134][1600/3757] lr: 1.5900e-03 eta: 20:20:24 time: 0.4065 data_time: 0.0220 memory: 17006 grad_norm: 10.0689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3973 loss: 1.3973 2022/07/29 22:15:21 - mmengine - INFO - Epoch(train) [134][1620/3757] lr: 1.5900e-03 eta: 20:20:15 time: 0.4064 data_time: 0.0206 memory: 17006 grad_norm: 10.2575 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7032 loss: 1.7032 2022/07/29 22:15:29 - mmengine - INFO - Epoch(train) [134][1640/3757] lr: 1.5900e-03 eta: 20:20:06 time: 0.4061 data_time: 0.0222 memory: 17006 grad_norm: 9.7765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3662 loss: 1.3662 2022/07/29 22:15:38 - mmengine - INFO - Epoch(train) [134][1660/3757] lr: 1.5900e-03 eta: 20:19:59 time: 0.4342 data_time: 0.0188 memory: 17006 grad_norm: 9.8260 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7079 loss: 1.7079 2022/07/29 22:15:46 - mmengine - INFO - Epoch(train) [134][1680/3757] lr: 1.5900e-03 eta: 20:19:50 time: 0.4088 data_time: 0.0227 memory: 17006 grad_norm: 10.1168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4239 loss: 1.4239 2022/07/29 22:15:54 - mmengine - INFO - Epoch(train) [134][1700/3757] lr: 1.5900e-03 eta: 20:19:41 time: 0.4046 data_time: 0.0193 memory: 17006 grad_norm: 10.2588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1981 loss: 1.1981 2022/07/29 22:16:03 - mmengine - INFO - Epoch(train) [134][1720/3757] lr: 1.5900e-03 eta: 20:19:33 time: 0.4238 data_time: 0.0219 memory: 17006 grad_norm: 10.3633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4703 loss: 1.4703 2022/07/29 22:16:11 - mmengine - INFO - Epoch(train) [134][1740/3757] lr: 1.5900e-03 eta: 20:19:24 time: 0.4054 data_time: 0.0188 memory: 17006 grad_norm: 10.2131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3024 loss: 1.3024 2022/07/29 22:16:19 - mmengine - INFO - Epoch(train) [134][1760/3757] lr: 1.5900e-03 eta: 20:19:15 time: 0.4133 data_time: 0.0225 memory: 17006 grad_norm: 10.0247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6969 loss: 1.6969 2022/07/29 22:16:27 - mmengine - INFO - Epoch(train) [134][1780/3757] lr: 1.5900e-03 eta: 20:19:06 time: 0.4050 data_time: 0.0189 memory: 17006 grad_norm: 9.7233 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4340 loss: 1.4340 2022/07/29 22:16:35 - mmengine - INFO - Epoch(train) [134][1800/3757] lr: 1.5900e-03 eta: 20:18:57 time: 0.4104 data_time: 0.0211 memory: 17006 grad_norm: 9.6421 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5438 loss: 1.5438 2022/07/29 22:16:44 - mmengine - INFO - Epoch(train) [134][1820/3757] lr: 1.5900e-03 eta: 20:18:48 time: 0.4050 data_time: 0.0198 memory: 17006 grad_norm: 9.8488 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0877 loss: 1.0877 2022/07/29 22:16:52 - mmengine - INFO - Epoch(train) [134][1840/3757] lr: 1.5900e-03 eta: 20:18:40 time: 0.4208 data_time: 0.0198 memory: 17006 grad_norm: 9.6992 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5069 loss: 1.5069 2022/07/29 22:17:00 - mmengine - INFO - Epoch(train) [134][1860/3757] lr: 1.5900e-03 eta: 20:18:31 time: 0.4180 data_time: 0.0210 memory: 17006 grad_norm: 9.8724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2436 loss: 1.2436 2022/07/29 22:17:09 - mmengine - INFO - Epoch(train) [134][1880/3757] lr: 1.5900e-03 eta: 20:18:25 time: 0.4483 data_time: 0.0269 memory: 17006 grad_norm: 10.3628 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5241 loss: 1.5241 2022/07/29 22:17:18 - mmengine - INFO - Epoch(train) [134][1900/3757] lr: 1.5900e-03 eta: 20:18:16 time: 0.4132 data_time: 0.0213 memory: 17006 grad_norm: 10.7633 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5271 loss: 1.5271 2022/07/29 22:17:26 - mmengine - INFO - Epoch(train) [134][1920/3757] lr: 1.5900e-03 eta: 20:18:07 time: 0.4079 data_time: 0.0205 memory: 17006 grad_norm: 10.0480 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1875 loss: 1.1875 2022/07/29 22:17:34 - mmengine - INFO - Epoch(train) [134][1940/3757] lr: 1.5900e-03 eta: 20:17:58 time: 0.4027 data_time: 0.0181 memory: 17006 grad_norm: 10.0062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1925 loss: 1.1925 2022/07/29 22:17:42 - mmengine - INFO - Epoch(train) [134][1960/3757] lr: 1.5900e-03 eta: 20:17:50 time: 0.4196 data_time: 0.0217 memory: 17006 grad_norm: 10.0167 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5817 loss: 1.5817 2022/07/29 22:17:51 - mmengine - INFO - Epoch(train) [134][1980/3757] lr: 1.5900e-03 eta: 20:17:42 time: 0.4298 data_time: 0.0211 memory: 17006 grad_norm: 10.3192 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6572 loss: 1.6572 2022/07/29 22:18:00 - mmengine - INFO - Epoch(train) [134][2000/3757] lr: 1.5900e-03 eta: 20:17:34 time: 0.4345 data_time: 0.0238 memory: 17006 grad_norm: 10.0648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8228 loss: 1.8228 2022/07/29 22:18:08 - mmengine - INFO - Epoch(train) [134][2020/3757] lr: 1.5900e-03 eta: 20:17:25 time: 0.4057 data_time: 0.0213 memory: 17006 grad_norm: 9.8537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/07/29 22:18:16 - mmengine - INFO - Epoch(train) [134][2040/3757] lr: 1.5900e-03 eta: 20:17:17 time: 0.4197 data_time: 0.0222 memory: 17006 grad_norm: 10.0316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4464 loss: 1.4464 2022/07/29 22:18:24 - mmengine - INFO - Epoch(train) [134][2060/3757] lr: 1.5900e-03 eta: 20:17:08 time: 0.4039 data_time: 0.0195 memory: 17006 grad_norm: 9.4815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4074 loss: 1.4074 2022/07/29 22:18:33 - mmengine - INFO - Epoch(train) [134][2080/3757] lr: 1.5900e-03 eta: 20:16:59 time: 0.4190 data_time: 0.0199 memory: 17006 grad_norm: 9.5586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5596 loss: 1.5596 2022/07/29 22:18:41 - mmengine - INFO - Epoch(train) [134][2100/3757] lr: 1.5900e-03 eta: 20:16:51 time: 0.4157 data_time: 0.0211 memory: 17006 grad_norm: 10.0828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3697 loss: 1.3697 2022/07/29 22:18:50 - mmengine - INFO - Epoch(train) [134][2120/3757] lr: 1.5900e-03 eta: 20:16:43 time: 0.4304 data_time: 0.0219 memory: 17006 grad_norm: 9.3340 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4616 loss: 1.4616 2022/07/29 22:18:58 - mmengine - INFO - Epoch(train) [134][2140/3757] lr: 1.5900e-03 eta: 20:16:35 time: 0.4158 data_time: 0.0218 memory: 17006 grad_norm: 10.2920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4204 loss: 1.4204 2022/07/29 22:19:07 - mmengine - INFO - Epoch(train) [134][2160/3757] lr: 1.5900e-03 eta: 20:16:27 time: 0.4295 data_time: 0.0219 memory: 17006 grad_norm: 10.4339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7642 loss: 1.7642 2022/07/29 22:19:15 - mmengine - INFO - Epoch(train) [134][2180/3757] lr: 1.5900e-03 eta: 20:16:18 time: 0.4082 data_time: 0.0213 memory: 17006 grad_norm: 9.9468 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7658 loss: 1.7658 2022/07/29 22:19:23 - mmengine - INFO - Epoch(train) [134][2200/3757] lr: 1.5900e-03 eta: 20:16:09 time: 0.4099 data_time: 0.0212 memory: 17006 grad_norm: 9.8692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6082 loss: 1.6082 2022/07/29 22:19:31 - mmengine - INFO - Epoch(train) [134][2220/3757] lr: 1.5900e-03 eta: 20:16:01 time: 0.4206 data_time: 0.0181 memory: 17006 grad_norm: 9.8984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6299 loss: 1.6299 2022/07/29 22:19:40 - mmengine - INFO - Epoch(train) [134][2240/3757] lr: 1.5900e-03 eta: 20:15:52 time: 0.4140 data_time: 0.0220 memory: 17006 grad_norm: 10.5742 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.7136 loss: 1.7136 2022/07/29 22:19:48 - mmengine - INFO - Epoch(train) [134][2260/3757] lr: 1.5900e-03 eta: 20:15:44 time: 0.4098 data_time: 0.0191 memory: 17006 grad_norm: 9.6932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6148 loss: 1.6148 2022/07/29 22:19:58 - mmengine - INFO - Epoch(train) [134][2280/3757] lr: 1.5900e-03 eta: 20:15:38 time: 0.4769 data_time: 0.0233 memory: 17006 grad_norm: 9.8493 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5793 loss: 1.5793 2022/07/29 22:20:06 - mmengine - INFO - Epoch(train) [134][2300/3757] lr: 1.5900e-03 eta: 20:15:29 time: 0.4048 data_time: 0.0190 memory: 17006 grad_norm: 9.9400 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4283 loss: 1.4283 2022/07/29 22:20:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:20:14 - mmengine - INFO - Epoch(train) [134][2320/3757] lr: 1.5900e-03 eta: 20:15:20 time: 0.4052 data_time: 0.0216 memory: 17006 grad_norm: 9.7046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5572 loss: 1.5572 2022/07/29 22:20:22 - mmengine - INFO - Epoch(train) [134][2340/3757] lr: 1.5900e-03 eta: 20:15:12 time: 0.4310 data_time: 0.0186 memory: 17006 grad_norm: 10.1668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4434 loss: 1.4434 2022/07/29 22:20:31 - mmengine - INFO - Epoch(train) [134][2360/3757] lr: 1.5900e-03 eta: 20:15:03 time: 0.4077 data_time: 0.0222 memory: 17006 grad_norm: 9.9148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6426 loss: 1.6426 2022/07/29 22:20:39 - mmengine - INFO - Epoch(train) [134][2380/3757] lr: 1.5900e-03 eta: 20:14:55 time: 0.4217 data_time: 0.0195 memory: 17006 grad_norm: 10.1955 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/07/29 22:20:47 - mmengine - INFO - Epoch(train) [134][2400/3757] lr: 1.5900e-03 eta: 20:14:46 time: 0.4093 data_time: 0.0237 memory: 17006 grad_norm: 10.2059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3382 loss: 1.3382 2022/07/29 22:20:56 - mmengine - INFO - Epoch(train) [134][2420/3757] lr: 1.5900e-03 eta: 20:14:39 time: 0.4384 data_time: 0.0199 memory: 17006 grad_norm: 9.7259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4480 loss: 1.4480 2022/07/29 22:21:04 - mmengine - INFO - Epoch(train) [134][2440/3757] lr: 1.5900e-03 eta: 20:14:30 time: 0.4044 data_time: 0.0203 memory: 17006 grad_norm: 10.5388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4765 loss: 1.4765 2022/07/29 22:21:12 - mmengine - INFO - Epoch(train) [134][2460/3757] lr: 1.5900e-03 eta: 20:14:21 time: 0.4120 data_time: 0.0209 memory: 17006 grad_norm: 10.3629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/07/29 22:21:21 - mmengine - INFO - Epoch(train) [134][2480/3757] lr: 1.5900e-03 eta: 20:14:15 time: 0.4496 data_time: 0.0230 memory: 17006 grad_norm: 10.6511 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7374 loss: 1.7374 2022/07/29 22:21:30 - mmengine - INFO - Epoch(train) [134][2500/3757] lr: 1.5900e-03 eta: 20:14:06 time: 0.4064 data_time: 0.0208 memory: 17006 grad_norm: 10.0105 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3498 loss: 1.3498 2022/07/29 22:21:38 - mmengine - INFO - Epoch(train) [134][2520/3757] lr: 1.5900e-03 eta: 20:13:58 time: 0.4360 data_time: 0.0224 memory: 17006 grad_norm: 9.8280 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4305 loss: 1.4305 2022/07/29 22:21:47 - mmengine - INFO - Epoch(train) [134][2540/3757] lr: 1.5900e-03 eta: 20:13:49 time: 0.4069 data_time: 0.0198 memory: 17006 grad_norm: 9.7307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5299 loss: 1.5299 2022/07/29 22:21:55 - mmengine - INFO - Epoch(train) [134][2560/3757] lr: 1.5900e-03 eta: 20:13:40 time: 0.4048 data_time: 0.0208 memory: 17006 grad_norm: 10.2275 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4759 loss: 1.4759 2022/07/29 22:22:03 - mmengine - INFO - Epoch(train) [134][2580/3757] lr: 1.5900e-03 eta: 20:13:32 time: 0.4197 data_time: 0.0185 memory: 17006 grad_norm: 10.4370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2754 loss: 1.2754 2022/07/29 22:22:11 - mmengine - INFO - Epoch(train) [134][2600/3757] lr: 1.5900e-03 eta: 20:13:23 time: 0.4083 data_time: 0.0231 memory: 17006 grad_norm: 10.3615 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5340 loss: 1.5340 2022/07/29 22:22:20 - mmengine - INFO - Epoch(train) [134][2620/3757] lr: 1.5900e-03 eta: 20:13:15 time: 0.4373 data_time: 0.0197 memory: 17006 grad_norm: 9.7322 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5686 loss: 1.5686 2022/07/29 22:22:28 - mmengine - INFO - Epoch(train) [134][2640/3757] lr: 1.5900e-03 eta: 20:13:06 time: 0.4070 data_time: 0.0223 memory: 17006 grad_norm: 9.7741 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5880 loss: 1.5880 2022/07/29 22:22:38 - mmengine - INFO - Epoch(train) [134][2660/3757] lr: 1.5900e-03 eta: 20:13:01 time: 0.4757 data_time: 0.0217 memory: 17006 grad_norm: 9.9506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5555 loss: 1.5555 2022/07/29 22:22:46 - mmengine - INFO - Epoch(train) [134][2680/3757] lr: 1.5900e-03 eta: 20:12:52 time: 0.4082 data_time: 0.0218 memory: 17006 grad_norm: 10.3872 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8114 loss: 1.8114 2022/07/29 22:22:54 - mmengine - INFO - Epoch(train) [134][2700/3757] lr: 1.5900e-03 eta: 20:12:44 time: 0.4281 data_time: 0.0203 memory: 17006 grad_norm: 10.1665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4457 loss: 1.4457 2022/07/29 22:23:03 - mmengine - INFO - Epoch(train) [134][2720/3757] lr: 1.5900e-03 eta: 20:12:35 time: 0.4061 data_time: 0.0206 memory: 17006 grad_norm: 9.6898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4389 loss: 1.4389 2022/07/29 22:23:11 - mmengine - INFO - Epoch(train) [134][2740/3757] lr: 1.5900e-03 eta: 20:12:27 time: 0.4186 data_time: 0.0202 memory: 17006 grad_norm: 9.7030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4440 loss: 1.4440 2022/07/29 22:23:19 - mmengine - INFO - Epoch(train) [134][2760/3757] lr: 1.5900e-03 eta: 20:12:18 time: 0.4079 data_time: 0.0214 memory: 17006 grad_norm: 10.2193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6017 loss: 1.6017 2022/07/29 22:23:29 - mmengine - INFO - Epoch(train) [134][2780/3757] lr: 1.5900e-03 eta: 20:12:13 time: 0.4766 data_time: 0.0190 memory: 17006 grad_norm: 10.1180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4417 loss: 1.4417 2022/07/29 22:23:37 - mmengine - INFO - Epoch(train) [134][2800/3757] lr: 1.5900e-03 eta: 20:12:04 time: 0.4143 data_time: 0.0215 memory: 17006 grad_norm: 9.9044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5888 loss: 1.5888 2022/07/29 22:23:45 - mmengine - INFO - Epoch(train) [134][2820/3757] lr: 1.5900e-03 eta: 20:11:55 time: 0.4062 data_time: 0.0207 memory: 17006 grad_norm: 9.9017 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4177 loss: 1.4177 2022/07/29 22:23:54 - mmengine - INFO - Epoch(train) [134][2840/3757] lr: 1.5900e-03 eta: 20:11:47 time: 0.4153 data_time: 0.0210 memory: 17006 grad_norm: 9.6617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4074 loss: 1.4074 2022/07/29 22:24:02 - mmengine - INFO - Epoch(train) [134][2860/3757] lr: 1.5900e-03 eta: 20:11:37 time: 0.4029 data_time: 0.0183 memory: 17006 grad_norm: 9.8774 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6475 loss: 1.6475 2022/07/29 22:24:10 - mmengine - INFO - Epoch(train) [134][2880/3757] lr: 1.5900e-03 eta: 20:11:29 time: 0.4285 data_time: 0.0223 memory: 17006 grad_norm: 10.0770 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/07/29 22:24:18 - mmengine - INFO - Epoch(train) [134][2900/3757] lr: 1.5900e-03 eta: 20:11:20 time: 0.4044 data_time: 0.0204 memory: 17006 grad_norm: 9.8817 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7886 loss: 1.7886 2022/07/29 22:24:27 - mmengine - INFO - Epoch(train) [134][2920/3757] lr: 1.5900e-03 eta: 20:11:13 time: 0.4313 data_time: 0.0222 memory: 17006 grad_norm: 10.1939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4767 loss: 1.4767 2022/07/29 22:24:35 - mmengine - INFO - Epoch(train) [134][2940/3757] lr: 1.5900e-03 eta: 20:11:04 time: 0.4038 data_time: 0.0191 memory: 17006 grad_norm: 10.6303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7783 loss: 1.7783 2022/07/29 22:24:43 - mmengine - INFO - Epoch(train) [134][2960/3757] lr: 1.5900e-03 eta: 20:10:55 time: 0.4072 data_time: 0.0212 memory: 17006 grad_norm: 10.3926 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5338 loss: 1.5338 2022/07/29 22:24:52 - mmengine - INFO - Epoch(train) [134][2980/3757] lr: 1.5900e-03 eta: 20:10:47 time: 0.4286 data_time: 0.0208 memory: 17006 grad_norm: 10.5360 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3023 loss: 1.3023 2022/07/29 22:25:00 - mmengine - INFO - Epoch(train) [134][3000/3757] lr: 1.5900e-03 eta: 20:10:38 time: 0.4089 data_time: 0.0223 memory: 17006 grad_norm: 10.4227 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7758 loss: 1.7758 2022/07/29 22:25:09 - mmengine - INFO - Epoch(train) [134][3020/3757] lr: 1.5900e-03 eta: 20:10:31 time: 0.4486 data_time: 0.0200 memory: 17006 grad_norm: 9.7018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6470 loss: 1.6470 2022/07/29 22:25:17 - mmengine - INFO - Epoch(train) [134][3040/3757] lr: 1.5900e-03 eta: 20:10:22 time: 0.4096 data_time: 0.0232 memory: 17006 grad_norm: 9.7010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3054 loss: 1.3054 2022/07/29 22:25:25 - mmengine - INFO - Epoch(train) [134][3060/3757] lr: 1.5900e-03 eta: 20:10:13 time: 0.4079 data_time: 0.0190 memory: 17006 grad_norm: 9.6393 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4097 loss: 1.4097 2022/07/29 22:25:34 - mmengine - INFO - Epoch(train) [134][3080/3757] lr: 1.5900e-03 eta: 20:10:05 time: 0.4147 data_time: 0.0219 memory: 17006 grad_norm: 10.2078 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5974 loss: 1.5974 2022/07/29 22:25:42 - mmengine - INFO - Epoch(train) [134][3100/3757] lr: 1.5900e-03 eta: 20:09:56 time: 0.4093 data_time: 0.0194 memory: 17006 grad_norm: 9.9893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2841 loss: 1.2841 2022/07/29 22:25:51 - mmengine - INFO - Epoch(train) [134][3120/3757] lr: 1.5900e-03 eta: 20:09:48 time: 0.4252 data_time: 0.0217 memory: 17006 grad_norm: 9.9542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5851 loss: 1.5851 2022/07/29 22:25:59 - mmengine - INFO - Epoch(train) [134][3140/3757] lr: 1.5900e-03 eta: 20:09:39 time: 0.4073 data_time: 0.0217 memory: 17006 grad_norm: 9.9953 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6299 loss: 1.6299 2022/07/29 22:26:07 - mmengine - INFO - Epoch(train) [134][3160/3757] lr: 1.5900e-03 eta: 20:09:31 time: 0.4190 data_time: 0.0219 memory: 17006 grad_norm: 9.5968 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5714 loss: 1.5714 2022/07/29 22:26:15 - mmengine - INFO - Epoch(train) [134][3180/3757] lr: 1.5900e-03 eta: 20:09:21 time: 0.4029 data_time: 0.0183 memory: 17006 grad_norm: 9.3860 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3270 loss: 1.3270 2022/07/29 22:26:23 - mmengine - INFO - Epoch(train) [134][3200/3757] lr: 1.5900e-03 eta: 20:09:12 time: 0.4073 data_time: 0.0226 memory: 17006 grad_norm: 9.8788 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2283 loss: 1.2283 2022/07/29 22:26:32 - mmengine - INFO - Epoch(train) [134][3220/3757] lr: 1.5900e-03 eta: 20:09:04 time: 0.4174 data_time: 0.0196 memory: 17006 grad_norm: 9.5256 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5686 loss: 1.5686 2022/07/29 22:26:40 - mmengine - INFO - Epoch(train) [134][3240/3757] lr: 1.5900e-03 eta: 20:08:55 time: 0.4078 data_time: 0.0213 memory: 17006 grad_norm: 9.7464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2729 loss: 1.2729 2022/07/29 22:26:48 - mmengine - INFO - Epoch(train) [134][3260/3757] lr: 1.5900e-03 eta: 20:08:47 time: 0.4206 data_time: 0.0224 memory: 17006 grad_norm: 9.7948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6661 loss: 1.6661 2022/07/29 22:26:57 - mmengine - INFO - Epoch(train) [134][3280/3757] lr: 1.5900e-03 eta: 20:08:38 time: 0.4153 data_time: 0.0224 memory: 17006 grad_norm: 10.1781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4108 loss: 1.4108 2022/07/29 22:27:05 - mmengine - INFO - Epoch(train) [134][3300/3757] lr: 1.5900e-03 eta: 20:08:29 time: 0.4044 data_time: 0.0188 memory: 17006 grad_norm: 10.3701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6484 loss: 1.6484 2022/07/29 22:27:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:27:13 - mmengine - INFO - Epoch(train) [134][3320/3757] lr: 1.5900e-03 eta: 20:08:21 time: 0.4121 data_time: 0.0215 memory: 17006 grad_norm: 9.8338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6489 loss: 1.6489 2022/07/29 22:27:21 - mmengine - INFO - Epoch(train) [134][3340/3757] lr: 1.5900e-03 eta: 20:08:12 time: 0.4095 data_time: 0.0197 memory: 17006 grad_norm: 10.1777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3140 loss: 1.3140 2022/07/29 22:27:29 - mmengine - INFO - Epoch(train) [134][3360/3757] lr: 1.5900e-03 eta: 20:08:03 time: 0.4097 data_time: 0.0223 memory: 17006 grad_norm: 9.9425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3490 loss: 1.3490 2022/07/29 22:27:38 - mmengine - INFO - Epoch(train) [134][3380/3757] lr: 1.5900e-03 eta: 20:07:55 time: 0.4287 data_time: 0.0184 memory: 17006 grad_norm: 9.7634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4032 loss: 1.4032 2022/07/29 22:27:47 - mmengine - INFO - Epoch(train) [134][3400/3757] lr: 1.5900e-03 eta: 20:07:47 time: 0.4290 data_time: 0.0226 memory: 17006 grad_norm: 9.8485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3433 loss: 1.3433 2022/07/29 22:27:55 - mmengine - INFO - Epoch(train) [134][3420/3757] lr: 1.5900e-03 eta: 20:07:38 time: 0.4030 data_time: 0.0191 memory: 17006 grad_norm: 10.2213 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6322 loss: 1.6322 2022/07/29 22:28:03 - mmengine - INFO - Epoch(train) [134][3440/3757] lr: 1.5900e-03 eta: 20:07:29 time: 0.4121 data_time: 0.0216 memory: 17006 grad_norm: 9.8802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7389 loss: 1.7389 2022/07/29 22:28:11 - mmengine - INFO - Epoch(train) [134][3460/3757] lr: 1.5900e-03 eta: 20:07:21 time: 0.4140 data_time: 0.0193 memory: 17006 grad_norm: 10.3274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4869 loss: 1.4869 2022/07/29 22:28:19 - mmengine - INFO - Epoch(train) [134][3480/3757] lr: 1.5900e-03 eta: 20:07:12 time: 0.4069 data_time: 0.0228 memory: 17006 grad_norm: 10.5099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3914 loss: 1.3914 2022/07/29 22:28:28 - mmengine - INFO - Epoch(train) [134][3500/3757] lr: 1.5900e-03 eta: 20:07:05 time: 0.4392 data_time: 0.0230 memory: 17006 grad_norm: 10.0815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4390 loss: 1.4390 2022/07/29 22:28:37 - mmengine - INFO - Epoch(train) [134][3520/3757] lr: 1.5900e-03 eta: 20:06:56 time: 0.4123 data_time: 0.0205 memory: 17006 grad_norm: 9.5505 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3746 loss: 1.3746 2022/07/29 22:28:45 - mmengine - INFO - Epoch(train) [134][3540/3757] lr: 1.5900e-03 eta: 20:06:47 time: 0.4027 data_time: 0.0183 memory: 17006 grad_norm: 9.6586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2808 loss: 1.2808 2022/07/29 22:28:53 - mmengine - INFO - Epoch(train) [134][3560/3757] lr: 1.5900e-03 eta: 20:06:38 time: 0.4151 data_time: 0.0213 memory: 17006 grad_norm: 10.1938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6848 loss: 1.6848 2022/07/29 22:29:02 - mmengine - INFO - Epoch(train) [134][3580/3757] lr: 1.5900e-03 eta: 20:06:30 time: 0.4330 data_time: 0.0196 memory: 17006 grad_norm: 9.5041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4250 loss: 1.4250 2022/07/29 22:29:10 - mmengine - INFO - Epoch(train) [134][3600/3757] lr: 1.5900e-03 eta: 20:06:22 time: 0.4159 data_time: 0.0227 memory: 17006 grad_norm: 9.6712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3493 loss: 1.3493 2022/07/29 22:29:18 - mmengine - INFO - Epoch(train) [134][3620/3757] lr: 1.5900e-03 eta: 20:06:13 time: 0.4053 data_time: 0.0213 memory: 17006 grad_norm: 10.4899 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5194 loss: 1.5194 2022/07/29 22:29:26 - mmengine - INFO - Epoch(train) [134][3640/3757] lr: 1.5900e-03 eta: 20:06:04 time: 0.4161 data_time: 0.0214 memory: 17006 grad_norm: 10.0026 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5650 loss: 1.5650 2022/07/29 22:29:35 - mmengine - INFO - Epoch(train) [134][3660/3757] lr: 1.5900e-03 eta: 20:05:55 time: 0.4040 data_time: 0.0204 memory: 17006 grad_norm: 10.2729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6320 loss: 1.6320 2022/07/29 22:29:43 - mmengine - INFO - Epoch(train) [134][3680/3757] lr: 1.5900e-03 eta: 20:05:46 time: 0.4075 data_time: 0.0203 memory: 17006 grad_norm: 10.2569 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7167 loss: 1.7167 2022/07/29 22:29:51 - mmengine - INFO - Epoch(train) [134][3700/3757] lr: 1.5900e-03 eta: 20:05:38 time: 0.4216 data_time: 0.0214 memory: 17006 grad_norm: 10.0041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6262 loss: 1.6262 2022/07/29 22:29:59 - mmengine - INFO - Epoch(train) [134][3720/3757] lr: 1.5900e-03 eta: 20:05:29 time: 0.4088 data_time: 0.0210 memory: 17006 grad_norm: 9.8936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5929 loss: 1.5929 2022/07/29 22:30:08 - mmengine - INFO - Epoch(train) [134][3740/3757] lr: 1.5900e-03 eta: 20:05:20 time: 0.4087 data_time: 0.0200 memory: 17006 grad_norm: 9.9737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4778 loss: 1.4778 2022/07/29 22:30:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:30:14 - mmengine - INFO - Epoch(train) [134][3757/3757] lr: 1.5900e-03 eta: 20:05:20 time: 0.3947 data_time: 0.0197 memory: 17006 grad_norm: 9.8462 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5214 loss: 1.5214 2022/07/29 22:30:14 - mmengine - INFO - Saving checkpoint at 134 epochs 2022/07/29 22:30:27 - mmengine - INFO - Epoch(train) [135][20/3757] lr: 1.5267e-03 eta: 20:04:51 time: 0.4912 data_time: 0.0725 memory: 17006 grad_norm: 9.9233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5758 loss: 1.5758 2022/07/29 22:30:36 - mmengine - INFO - Epoch(train) [135][40/3757] lr: 1.5267e-03 eta: 20:04:42 time: 0.4067 data_time: 0.0231 memory: 17006 grad_norm: 10.2581 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5481 loss: 1.5481 2022/07/29 22:30:44 - mmengine - INFO - Epoch(train) [135][60/3757] lr: 1.5267e-03 eta: 20:04:33 time: 0.4127 data_time: 0.0196 memory: 17006 grad_norm: 10.1847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4159 loss: 1.4159 2022/07/29 22:30:52 - mmengine - INFO - Epoch(train) [135][80/3757] lr: 1.5267e-03 eta: 20:04:24 time: 0.4151 data_time: 0.0229 memory: 17006 grad_norm: 10.2531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5513 loss: 1.5513 2022/07/29 22:31:00 - mmengine - INFO - Epoch(train) [135][100/3757] lr: 1.5267e-03 eta: 20:04:16 time: 0.4085 data_time: 0.0256 memory: 17006 grad_norm: 9.9115 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5571 loss: 1.5571 2022/07/29 22:31:09 - mmengine - INFO - Epoch(train) [135][120/3757] lr: 1.5267e-03 eta: 20:04:08 time: 0.4398 data_time: 0.0202 memory: 17006 grad_norm: 10.0998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4026 loss: 1.4026 2022/07/29 22:31:17 - mmengine - INFO - Epoch(train) [135][140/3757] lr: 1.5267e-03 eta: 20:04:00 time: 0.4126 data_time: 0.0219 memory: 17006 grad_norm: 10.1064 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4638 loss: 1.4638 2022/07/29 22:31:26 - mmengine - INFO - Epoch(train) [135][160/3757] lr: 1.5267e-03 eta: 20:03:51 time: 0.4047 data_time: 0.0203 memory: 17006 grad_norm: 10.1643 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4398 loss: 1.4398 2022/07/29 22:31:34 - mmengine - INFO - Epoch(train) [135][180/3757] lr: 1.5267e-03 eta: 20:03:42 time: 0.4191 data_time: 0.0202 memory: 17006 grad_norm: 10.3380 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4373 loss: 1.4373 2022/07/29 22:31:42 - mmengine - INFO - Epoch(train) [135][200/3757] lr: 1.5267e-03 eta: 20:03:33 time: 0.4036 data_time: 0.0205 memory: 17006 grad_norm: 9.8673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3372 loss: 1.3372 2022/07/29 22:31:51 - mmengine - INFO - Epoch(train) [135][220/3757] lr: 1.5267e-03 eta: 20:03:26 time: 0.4524 data_time: 0.0196 memory: 17006 grad_norm: 10.4255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7762 loss: 1.7762 2022/07/29 22:31:59 - mmengine - INFO - Epoch(train) [135][240/3757] lr: 1.5267e-03 eta: 20:03:17 time: 0.4042 data_time: 0.0203 memory: 17006 grad_norm: 9.8116 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6013 loss: 1.6013 2022/07/29 22:32:08 - mmengine - INFO - Epoch(train) [135][260/3757] lr: 1.5267e-03 eta: 20:03:09 time: 0.4195 data_time: 0.0203 memory: 17006 grad_norm: 10.1654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5452 loss: 1.5452 2022/07/29 22:32:16 - mmengine - INFO - Epoch(train) [135][280/3757] lr: 1.5267e-03 eta: 20:03:00 time: 0.4049 data_time: 0.0214 memory: 17006 grad_norm: 10.0805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6020 loss: 1.6020 2022/07/29 22:32:24 - mmengine - INFO - Epoch(train) [135][300/3757] lr: 1.5267e-03 eta: 20:02:51 time: 0.4033 data_time: 0.0181 memory: 17006 grad_norm: 10.3679 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3831 loss: 1.3831 2022/07/29 22:32:33 - mmengine - INFO - Epoch(train) [135][320/3757] lr: 1.5267e-03 eta: 20:02:44 time: 0.4550 data_time: 0.0232 memory: 17006 grad_norm: 9.9975 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2479 loss: 1.2479 2022/07/29 22:32:41 - mmengine - INFO - Epoch(train) [135][340/3757] lr: 1.5267e-03 eta: 20:02:35 time: 0.4043 data_time: 0.0190 memory: 17006 grad_norm: 10.2335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4807 loss: 1.4807 2022/07/29 22:32:50 - mmengine - INFO - Epoch(train) [135][360/3757] lr: 1.5267e-03 eta: 20:02:28 time: 0.4454 data_time: 0.0217 memory: 17006 grad_norm: 10.1440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3949 loss: 1.3949 2022/07/29 22:32:58 - mmengine - INFO - Epoch(train) [135][380/3757] lr: 1.5267e-03 eta: 20:02:19 time: 0.4030 data_time: 0.0178 memory: 17006 grad_norm: 9.6847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4581 loss: 1.4581 2022/07/29 22:33:06 - mmengine - INFO - Epoch(train) [135][400/3757] lr: 1.5267e-03 eta: 20:02:11 time: 0.4149 data_time: 0.0209 memory: 17006 grad_norm: 10.1792 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5699 loss: 1.5699 2022/07/29 22:33:15 - mmengine - INFO - Epoch(train) [135][420/3757] lr: 1.5267e-03 eta: 20:02:02 time: 0.4166 data_time: 0.0198 memory: 17006 grad_norm: 10.3213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4195 loss: 1.4195 2022/07/29 22:33:23 - mmengine - INFO - Epoch(train) [135][440/3757] lr: 1.5267e-03 eta: 20:01:53 time: 0.4039 data_time: 0.0200 memory: 17006 grad_norm: 9.9386 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5310 loss: 1.5310 2022/07/29 22:33:32 - mmengine - INFO - Epoch(train) [135][460/3757] lr: 1.5267e-03 eta: 20:01:47 time: 0.4649 data_time: 0.0224 memory: 17006 grad_norm: 10.0621 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4528 loss: 1.4528 2022/07/29 22:33:40 - mmengine - INFO - Epoch(train) [135][480/3757] lr: 1.5267e-03 eta: 20:01:38 time: 0.4044 data_time: 0.0201 memory: 17006 grad_norm: 10.3071 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4766 loss: 1.4766 2022/07/29 22:33:49 - mmengine - INFO - Epoch(train) [135][500/3757] lr: 1.5267e-03 eta: 20:01:29 time: 0.4112 data_time: 0.0206 memory: 17006 grad_norm: 10.2921 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5251 loss: 1.5251 2022/07/29 22:33:57 - mmengine - INFO - Epoch(train) [135][520/3757] lr: 1.5267e-03 eta: 20:01:22 time: 0.4327 data_time: 0.0211 memory: 17006 grad_norm: 9.9437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4487 loss: 1.4487 2022/07/29 22:34:05 - mmengine - INFO - Epoch(train) [135][540/3757] lr: 1.5267e-03 eta: 20:01:12 time: 0.4022 data_time: 0.0181 memory: 17006 grad_norm: 10.0232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6132 loss: 1.6132 2022/07/29 22:34:14 - mmengine - INFO - Epoch(train) [135][560/3757] lr: 1.5267e-03 eta: 20:01:04 time: 0.4165 data_time: 0.0226 memory: 17006 grad_norm: 10.4421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3543 loss: 1.3543 2022/07/29 22:34:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:34:22 - mmengine - INFO - Epoch(train) [135][580/3757] lr: 1.5267e-03 eta: 20:00:55 time: 0.4069 data_time: 0.0190 memory: 17006 grad_norm: 10.2949 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3196 loss: 1.3196 2022/07/29 22:34:30 - mmengine - INFO - Epoch(train) [135][600/3757] lr: 1.5267e-03 eta: 20:00:47 time: 0.4212 data_time: 0.0234 memory: 17006 grad_norm: 10.0450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5352 loss: 1.5352 2022/07/29 22:34:38 - mmengine - INFO - Epoch(train) [135][620/3757] lr: 1.5267e-03 eta: 20:00:38 time: 0.4064 data_time: 0.0191 memory: 17006 grad_norm: 10.0463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4169 loss: 1.4169 2022/07/29 22:34:47 - mmengine - INFO - Epoch(train) [135][640/3757] lr: 1.5267e-03 eta: 20:00:30 time: 0.4346 data_time: 0.0245 memory: 17006 grad_norm: 10.2105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3845 loss: 1.3845 2022/07/29 22:34:55 - mmengine - INFO - Epoch(train) [135][660/3757] lr: 1.5267e-03 eta: 20:00:21 time: 0.4035 data_time: 0.0178 memory: 17006 grad_norm: 9.8950 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2765 loss: 1.2765 2022/07/29 22:35:03 - mmengine - INFO - Epoch(train) [135][680/3757] lr: 1.5267e-03 eta: 20:00:12 time: 0.4069 data_time: 0.0212 memory: 17006 grad_norm: 10.2761 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4542 loss: 1.4542 2022/07/29 22:35:12 - mmengine - INFO - Epoch(train) [135][700/3757] lr: 1.5267e-03 eta: 20:00:04 time: 0.4270 data_time: 0.0206 memory: 17006 grad_norm: 10.1795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6077 loss: 1.6077 2022/07/29 22:35:20 - mmengine - INFO - Epoch(train) [135][720/3757] lr: 1.5267e-03 eta: 19:59:56 time: 0.4132 data_time: 0.0218 memory: 17006 grad_norm: 9.8594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4735 loss: 1.4735 2022/07/29 22:35:29 - mmengine - INFO - Epoch(train) [135][740/3757] lr: 1.5267e-03 eta: 19:59:48 time: 0.4292 data_time: 0.0221 memory: 17006 grad_norm: 10.1614 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5823 loss: 1.5823 2022/07/29 22:35:37 - mmengine - INFO - Epoch(train) [135][760/3757] lr: 1.5267e-03 eta: 19:59:39 time: 0.4059 data_time: 0.0213 memory: 17006 grad_norm: 9.9170 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5205 loss: 1.5205 2022/07/29 22:35:45 - mmengine - INFO - Epoch(train) [135][780/3757] lr: 1.5267e-03 eta: 19:59:30 time: 0.4043 data_time: 0.0196 memory: 17006 grad_norm: 10.3590 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4726 loss: 1.4726 2022/07/29 22:35:53 - mmengine - INFO - Epoch(train) [135][800/3757] lr: 1.5267e-03 eta: 19:59:21 time: 0.4128 data_time: 0.0221 memory: 17006 grad_norm: 10.0679 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4258 loss: 1.4258 2022/07/29 22:36:02 - mmengine - INFO - Epoch(train) [135][820/3757] lr: 1.5267e-03 eta: 19:59:12 time: 0.4097 data_time: 0.0207 memory: 17006 grad_norm: 10.9487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2832 loss: 1.2832 2022/07/29 22:36:10 - mmengine - INFO - Epoch(train) [135][840/3757] lr: 1.5267e-03 eta: 19:59:04 time: 0.4151 data_time: 0.0221 memory: 17006 grad_norm: 10.0191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7701 loss: 1.7701 2022/07/29 22:36:18 - mmengine - INFO - Epoch(train) [135][860/3757] lr: 1.5267e-03 eta: 19:58:55 time: 0.4106 data_time: 0.0204 memory: 17006 grad_norm: 10.0005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5352 loss: 1.5352 2022/07/29 22:36:26 - mmengine - INFO - Epoch(train) [135][880/3757] lr: 1.5267e-03 eta: 19:58:46 time: 0.4045 data_time: 0.0207 memory: 17006 grad_norm: 9.8735 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3608 loss: 1.3608 2022/07/29 22:36:35 - mmengine - INFO - Epoch(train) [135][900/3757] lr: 1.5267e-03 eta: 19:58:38 time: 0.4157 data_time: 0.0250 memory: 17006 grad_norm: 10.4399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3014 loss: 1.3014 2022/07/29 22:36:43 - mmengine - INFO - Epoch(train) [135][920/3757] lr: 1.5267e-03 eta: 19:58:29 time: 0.4066 data_time: 0.0211 memory: 17006 grad_norm: 10.2576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/07/29 22:36:51 - mmengine - INFO - Epoch(train) [135][940/3757] lr: 1.5267e-03 eta: 19:58:20 time: 0.4240 data_time: 0.0202 memory: 17006 grad_norm: 9.6947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5539 loss: 1.5539 2022/07/29 22:36:59 - mmengine - INFO - Epoch(train) [135][960/3757] lr: 1.5267e-03 eta: 19:58:12 time: 0.4074 data_time: 0.0211 memory: 17006 grad_norm: 9.8937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5948 loss: 1.5948 2022/07/29 22:37:08 - mmengine - INFO - Epoch(train) [135][980/3757] lr: 1.5267e-03 eta: 19:58:05 time: 0.4469 data_time: 0.0209 memory: 17006 grad_norm: 10.1369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3558 loss: 1.3558 2022/07/29 22:37:17 - mmengine - INFO - Epoch(train) [135][1000/3757] lr: 1.5267e-03 eta: 19:57:56 time: 0.4067 data_time: 0.0217 memory: 17006 grad_norm: 10.1292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6559 loss: 1.6559 2022/07/29 22:37:25 - mmengine - INFO - Epoch(train) [135][1020/3757] lr: 1.5267e-03 eta: 19:57:47 time: 0.4046 data_time: 0.0182 memory: 17006 grad_norm: 10.2896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5991 loss: 1.5991 2022/07/29 22:37:33 - mmengine - INFO - Epoch(train) [135][1040/3757] lr: 1.5267e-03 eta: 19:57:38 time: 0.4169 data_time: 0.0218 memory: 17006 grad_norm: 10.1040 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0915 loss: 1.0915 2022/07/29 22:37:41 - mmengine - INFO - Epoch(train) [135][1060/3757] lr: 1.5267e-03 eta: 19:57:29 time: 0.4075 data_time: 0.0178 memory: 17006 grad_norm: 9.7703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6342 loss: 1.6342 2022/07/29 22:37:50 - mmengine - INFO - Epoch(train) [135][1080/3757] lr: 1.5267e-03 eta: 19:57:21 time: 0.4226 data_time: 0.0229 memory: 17006 grad_norm: 10.4657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6213 loss: 1.6213 2022/07/29 22:37:58 - mmengine - INFO - Epoch(train) [135][1100/3757] lr: 1.5267e-03 eta: 19:57:12 time: 0.4049 data_time: 0.0183 memory: 17006 grad_norm: 10.3459 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5156 loss: 1.5156 2022/07/29 22:38:06 - mmengine - INFO - Epoch(train) [135][1120/3757] lr: 1.5267e-03 eta: 19:57:03 time: 0.4057 data_time: 0.0215 memory: 17006 grad_norm: 10.5143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4406 loss: 1.4406 2022/07/29 22:38:15 - mmengine - INFO - Epoch(train) [135][1140/3757] lr: 1.5267e-03 eta: 19:56:55 time: 0.4282 data_time: 0.0199 memory: 17006 grad_norm: 9.9834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5113 loss: 1.5113 2022/07/29 22:38:23 - mmengine - INFO - Epoch(train) [135][1160/3757] lr: 1.5267e-03 eta: 19:56:46 time: 0.4060 data_time: 0.0203 memory: 17006 grad_norm: 10.2092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5776 loss: 1.5776 2022/07/29 22:38:32 - mmengine - INFO - Epoch(train) [135][1180/3757] lr: 1.5267e-03 eta: 19:56:40 time: 0.4575 data_time: 0.0206 memory: 17006 grad_norm: 9.5942 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6273 loss: 1.6273 2022/07/29 22:38:40 - mmengine - INFO - Epoch(train) [135][1200/3757] lr: 1.5267e-03 eta: 19:56:31 time: 0.4066 data_time: 0.0213 memory: 17006 grad_norm: 10.0755 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4701 loss: 1.4701 2022/07/29 22:38:49 - mmengine - INFO - Epoch(train) [135][1220/3757] lr: 1.5267e-03 eta: 19:56:24 time: 0.4413 data_time: 0.0216 memory: 17006 grad_norm: 9.9901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3973 loss: 1.3973 2022/07/29 22:38:57 - mmengine - INFO - Epoch(train) [135][1240/3757] lr: 1.5267e-03 eta: 19:56:15 time: 0.4084 data_time: 0.0213 memory: 17006 grad_norm: 10.3226 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5516 loss: 1.5516 2022/07/29 22:39:05 - mmengine - INFO - Epoch(train) [135][1260/3757] lr: 1.5267e-03 eta: 19:56:06 time: 0.4045 data_time: 0.0198 memory: 17006 grad_norm: 10.2443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3791 loss: 1.3791 2022/07/29 22:39:14 - mmengine - INFO - Epoch(train) [135][1280/3757] lr: 1.5267e-03 eta: 19:55:58 time: 0.4214 data_time: 0.0228 memory: 17006 grad_norm: 9.8663 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3077 loss: 1.3077 2022/07/29 22:39:22 - mmengine - INFO - Epoch(train) [135][1300/3757] lr: 1.5267e-03 eta: 19:55:48 time: 0.4042 data_time: 0.0200 memory: 17006 grad_norm: 10.5696 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4096 loss: 1.4096 2022/07/29 22:39:31 - mmengine - INFO - Epoch(train) [135][1320/3757] lr: 1.5267e-03 eta: 19:55:41 time: 0.4439 data_time: 0.0236 memory: 17006 grad_norm: 10.3902 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6682 loss: 1.6682 2022/07/29 22:39:39 - mmengine - INFO - Epoch(train) [135][1340/3757] lr: 1.5267e-03 eta: 19:55:32 time: 0.4038 data_time: 0.0187 memory: 17006 grad_norm: 10.0960 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4422 loss: 1.4422 2022/07/29 22:39:47 - mmengine - INFO - Epoch(train) [135][1360/3757] lr: 1.5267e-03 eta: 19:55:25 time: 0.4343 data_time: 0.0214 memory: 17006 grad_norm: 10.0470 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4119 loss: 1.4119 2022/07/29 22:39:56 - mmengine - INFO - Epoch(train) [135][1380/3757] lr: 1.5267e-03 eta: 19:55:16 time: 0.4081 data_time: 0.0191 memory: 17006 grad_norm: 10.3065 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3875 loss: 1.3875 2022/07/29 22:40:04 - mmengine - INFO - Epoch(train) [135][1400/3757] lr: 1.5267e-03 eta: 19:55:07 time: 0.4045 data_time: 0.0201 memory: 17006 grad_norm: 10.5368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6429 loss: 1.6429 2022/07/29 22:40:13 - mmengine - INFO - Epoch(train) [135][1420/3757] lr: 1.5267e-03 eta: 19:55:01 time: 0.4791 data_time: 0.0207 memory: 17006 grad_norm: 9.6567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/07/29 22:40:22 - mmengine - INFO - Epoch(train) [135][1440/3757] lr: 1.5267e-03 eta: 19:54:53 time: 0.4074 data_time: 0.0218 memory: 17006 grad_norm: 9.4423 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3159 loss: 1.3159 2022/07/29 22:40:30 - mmengine - INFO - Epoch(train) [135][1460/3757] lr: 1.5267e-03 eta: 19:54:45 time: 0.4433 data_time: 0.0216 memory: 17006 grad_norm: 10.1730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6082 loss: 1.6082 2022/07/29 22:40:39 - mmengine - INFO - Epoch(train) [135][1480/3757] lr: 1.5267e-03 eta: 19:54:37 time: 0.4129 data_time: 0.0214 memory: 17006 grad_norm: 9.7039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5579 loss: 1.5579 2022/07/29 22:40:47 - mmengine - INFO - Epoch(train) [135][1500/3757] lr: 1.5267e-03 eta: 19:54:28 time: 0.4092 data_time: 0.0177 memory: 17006 grad_norm: 9.8078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4507 loss: 1.4507 2022/07/29 22:40:56 - mmengine - INFO - Epoch(train) [135][1520/3757] lr: 1.5267e-03 eta: 19:54:21 time: 0.4529 data_time: 0.0225 memory: 17006 grad_norm: 10.0925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1868 loss: 1.1868 2022/07/29 22:41:04 - mmengine - INFO - Epoch(train) [135][1540/3757] lr: 1.5267e-03 eta: 19:54:12 time: 0.4063 data_time: 0.0195 memory: 17006 grad_norm: 10.0545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/07/29 22:41:13 - mmengine - INFO - Epoch(train) [135][1560/3757] lr: 1.5267e-03 eta: 19:54:04 time: 0.4196 data_time: 0.0216 memory: 17006 grad_norm: 10.1547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4749 loss: 1.4749 2022/07/29 22:41:13 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:41:21 - mmengine - INFO - Epoch(train) [135][1580/3757] lr: 1.5267e-03 eta: 19:53:56 time: 0.4190 data_time: 0.0198 memory: 17006 grad_norm: 10.2691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1939 loss: 1.1939 2022/07/29 22:41:29 - mmengine - INFO - Epoch(train) [135][1600/3757] lr: 1.5267e-03 eta: 19:53:48 time: 0.4239 data_time: 0.0221 memory: 17006 grad_norm: 10.5122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2478 loss: 1.2478 2022/07/29 22:41:38 - mmengine - INFO - Epoch(train) [135][1620/3757] lr: 1.5267e-03 eta: 19:53:41 time: 0.4442 data_time: 0.0233 memory: 17006 grad_norm: 9.9782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1502 loss: 1.1502 2022/07/29 22:41:46 - mmengine - INFO - Epoch(train) [135][1640/3757] lr: 1.5267e-03 eta: 19:53:31 time: 0.4042 data_time: 0.0204 memory: 17006 grad_norm: 10.3337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6765 loss: 1.6765 2022/07/29 22:41:55 - mmengine - INFO - Epoch(train) [135][1660/3757] lr: 1.5267e-03 eta: 19:53:23 time: 0.4122 data_time: 0.0201 memory: 17006 grad_norm: 10.2759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4580 loss: 1.4580 2022/07/29 22:42:04 - mmengine - INFO - Epoch(train) [135][1680/3757] lr: 1.5267e-03 eta: 19:53:16 time: 0.4492 data_time: 0.0217 memory: 17006 grad_norm: 9.9957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0230 loss: 1.0230 2022/07/29 22:42:12 - mmengine - INFO - Epoch(train) [135][1700/3757] lr: 1.5267e-03 eta: 19:53:07 time: 0.4124 data_time: 0.0208 memory: 17006 grad_norm: 10.1000 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4166 loss: 1.4166 2022/07/29 22:42:20 - mmengine - INFO - Epoch(train) [135][1720/3757] lr: 1.5267e-03 eta: 19:52:58 time: 0.4086 data_time: 0.0226 memory: 17006 grad_norm: 10.5629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5867 loss: 1.5867 2022/07/29 22:42:29 - mmengine - INFO - Epoch(train) [135][1740/3757] lr: 1.5267e-03 eta: 19:52:50 time: 0.4160 data_time: 0.0202 memory: 17006 grad_norm: 10.0741 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5502 loss: 1.5502 2022/07/29 22:42:37 - mmengine - INFO - Epoch(train) [135][1760/3757] lr: 1.5267e-03 eta: 19:52:41 time: 0.4044 data_time: 0.0214 memory: 17006 grad_norm: 9.7687 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5449 loss: 1.5449 2022/07/29 22:42:45 - mmengine - INFO - Epoch(train) [135][1780/3757] lr: 1.5267e-03 eta: 19:52:33 time: 0.4194 data_time: 0.0193 memory: 17006 grad_norm: 10.1529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5185 loss: 1.5185 2022/07/29 22:42:53 - mmengine - INFO - Epoch(train) [135][1800/3757] lr: 1.5267e-03 eta: 19:52:24 time: 0.4077 data_time: 0.0214 memory: 17006 grad_norm: 9.9165 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4627 loss: 1.4627 2022/07/29 22:43:02 - mmengine - INFO - Epoch(train) [135][1820/3757] lr: 1.5267e-03 eta: 19:52:15 time: 0.4171 data_time: 0.0219 memory: 17006 grad_norm: 10.3523 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3068 loss: 1.3068 2022/07/29 22:43:10 - mmengine - INFO - Epoch(train) [135][1840/3757] lr: 1.5267e-03 eta: 19:52:06 time: 0.4075 data_time: 0.0208 memory: 17006 grad_norm: 10.2280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2263 loss: 1.2263 2022/07/29 22:43:19 - mmengine - INFO - Epoch(train) [135][1860/3757] lr: 1.5267e-03 eta: 19:51:59 time: 0.4391 data_time: 0.0206 memory: 17006 grad_norm: 10.6533 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6965 loss: 1.6965 2022/07/29 22:43:27 - mmengine - INFO - Epoch(train) [135][1880/3757] lr: 1.5267e-03 eta: 19:51:50 time: 0.4035 data_time: 0.0197 memory: 17006 grad_norm: 10.4131 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7676 loss: 1.7676 2022/07/29 22:43:35 - mmengine - INFO - Epoch(train) [135][1900/3757] lr: 1.5267e-03 eta: 19:51:41 time: 0.4059 data_time: 0.0193 memory: 17006 grad_norm: 9.9294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2347 loss: 1.2347 2022/07/29 22:43:43 - mmengine - INFO - Epoch(train) [135][1920/3757] lr: 1.5267e-03 eta: 19:51:33 time: 0.4208 data_time: 0.0218 memory: 17006 grad_norm: 10.1185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4452 loss: 1.4452 2022/07/29 22:43:51 - mmengine - INFO - Epoch(train) [135][1940/3757] lr: 1.5267e-03 eta: 19:51:24 time: 0.4064 data_time: 0.0194 memory: 17006 grad_norm: 10.0276 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5943 loss: 1.5943 2022/07/29 22:44:00 - mmengine - INFO - Epoch(train) [135][1960/3757] lr: 1.5267e-03 eta: 19:51:15 time: 0.4192 data_time: 0.0222 memory: 17006 grad_norm: 9.4961 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2952 loss: 1.2952 2022/07/29 22:44:08 - mmengine - INFO - Epoch(train) [135][1980/3757] lr: 1.5267e-03 eta: 19:51:06 time: 0.4066 data_time: 0.0209 memory: 17006 grad_norm: 9.7992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5479 loss: 1.5479 2022/07/29 22:44:16 - mmengine - INFO - Epoch(train) [135][2000/3757] lr: 1.5267e-03 eta: 19:50:57 time: 0.4050 data_time: 0.0209 memory: 17006 grad_norm: 9.4241 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2245 loss: 1.2245 2022/07/29 22:44:25 - mmengine - INFO - Epoch(train) [135][2020/3757] lr: 1.5267e-03 eta: 19:50:49 time: 0.4251 data_time: 0.0210 memory: 17006 grad_norm: 9.3976 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6613 loss: 1.6613 2022/07/29 22:44:33 - mmengine - INFO - Epoch(train) [135][2040/3757] lr: 1.5267e-03 eta: 19:50:41 time: 0.4076 data_time: 0.0225 memory: 17006 grad_norm: 9.8759 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3692 loss: 1.3692 2022/07/29 22:44:41 - mmengine - INFO - Epoch(train) [135][2060/3757] lr: 1.5267e-03 eta: 19:50:32 time: 0.4122 data_time: 0.0197 memory: 17006 grad_norm: 10.1493 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3816 loss: 1.3816 2022/07/29 22:44:49 - mmengine - INFO - Epoch(train) [135][2080/3757] lr: 1.5267e-03 eta: 19:50:23 time: 0.4079 data_time: 0.0222 memory: 17006 grad_norm: 9.4145 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5083 loss: 1.5083 2022/07/29 22:44:58 - mmengine - INFO - Epoch(train) [135][2100/3757] lr: 1.5267e-03 eta: 19:50:16 time: 0.4518 data_time: 0.0190 memory: 17006 grad_norm: 10.0487 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5756 loss: 1.5756 2022/07/29 22:45:06 - mmengine - INFO - Epoch(train) [135][2120/3757] lr: 1.5267e-03 eta: 19:50:07 time: 0.4063 data_time: 0.0214 memory: 17006 grad_norm: 9.9425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2463 loss: 1.2463 2022/07/29 22:45:15 - mmengine - INFO - Epoch(train) [135][2140/3757] lr: 1.5267e-03 eta: 19:49:58 time: 0.4048 data_time: 0.0196 memory: 17006 grad_norm: 10.0716 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1650 loss: 1.1650 2022/07/29 22:45:23 - mmengine - INFO - Epoch(train) [135][2160/3757] lr: 1.5267e-03 eta: 19:49:50 time: 0.4119 data_time: 0.0214 memory: 17006 grad_norm: 10.0712 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3543 loss: 1.3543 2022/07/29 22:45:31 - mmengine - INFO - Epoch(train) [135][2180/3757] lr: 1.5267e-03 eta: 19:49:41 time: 0.4063 data_time: 0.0203 memory: 17006 grad_norm: 10.3766 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6002 loss: 1.6002 2022/07/29 22:45:40 - mmengine - INFO - Epoch(train) [135][2200/3757] lr: 1.5267e-03 eta: 19:49:33 time: 0.4273 data_time: 0.0222 memory: 17006 grad_norm: 10.0384 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6648 loss: 1.6648 2022/07/29 22:45:48 - mmengine - INFO - Epoch(train) [135][2220/3757] lr: 1.5267e-03 eta: 19:49:24 time: 0.4111 data_time: 0.0209 memory: 17006 grad_norm: 10.3160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5249 loss: 1.5249 2022/07/29 22:45:56 - mmengine - INFO - Epoch(train) [135][2240/3757] lr: 1.5267e-03 eta: 19:49:15 time: 0.4049 data_time: 0.0217 memory: 17006 grad_norm: 10.1178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5617 loss: 1.5617 2022/07/29 22:46:04 - mmengine - INFO - Epoch(train) [135][2260/3757] lr: 1.5267e-03 eta: 19:49:06 time: 0.4066 data_time: 0.0196 memory: 17006 grad_norm: 10.5685 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5719 loss: 1.5719 2022/07/29 22:46:13 - mmengine - INFO - Epoch(train) [135][2280/3757] lr: 1.5267e-03 eta: 19:48:58 time: 0.4252 data_time: 0.0190 memory: 17006 grad_norm: 10.4329 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3407 loss: 1.3407 2022/07/29 22:46:21 - mmengine - INFO - Epoch(train) [135][2300/3757] lr: 1.5267e-03 eta: 19:48:49 time: 0.4091 data_time: 0.0198 memory: 17006 grad_norm: 9.8589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4084 loss: 1.4084 2022/07/29 22:46:29 - mmengine - INFO - Epoch(train) [135][2320/3757] lr: 1.5267e-03 eta: 19:48:41 time: 0.4223 data_time: 0.0212 memory: 17006 grad_norm: 10.6527 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4783 loss: 1.4783 2022/07/29 22:46:37 - mmengine - INFO - Epoch(train) [135][2340/3757] lr: 1.5267e-03 eta: 19:48:32 time: 0.4046 data_time: 0.0200 memory: 17006 grad_norm: 10.1147 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2633 loss: 1.2633 2022/07/29 22:46:46 - mmengine - INFO - Epoch(train) [135][2360/3757] lr: 1.5267e-03 eta: 19:48:23 time: 0.4063 data_time: 0.0215 memory: 17006 grad_norm: 10.1607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3877 loss: 1.3877 2022/07/29 22:46:54 - mmengine - INFO - Epoch(train) [135][2380/3757] lr: 1.5267e-03 eta: 19:48:15 time: 0.4249 data_time: 0.0214 memory: 17006 grad_norm: 9.6680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3946 loss: 1.3946 2022/07/29 22:47:02 - mmengine - INFO - Epoch(train) [135][2400/3757] lr: 1.5267e-03 eta: 19:48:06 time: 0.4090 data_time: 0.0222 memory: 17006 grad_norm: 9.9970 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5375 loss: 1.5375 2022/07/29 22:47:10 - mmengine - INFO - Epoch(train) [135][2420/3757] lr: 1.5267e-03 eta: 19:47:57 time: 0.4066 data_time: 0.0200 memory: 17006 grad_norm: 10.1879 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7762 loss: 1.7762 2022/07/29 22:47:19 - mmengine - INFO - Epoch(train) [135][2440/3757] lr: 1.5267e-03 eta: 19:47:49 time: 0.4132 data_time: 0.0214 memory: 17006 grad_norm: 10.0702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7153 loss: 1.7153 2022/07/29 22:47:27 - mmengine - INFO - Epoch(train) [135][2460/3757] lr: 1.5267e-03 eta: 19:47:40 time: 0.4043 data_time: 0.0182 memory: 17006 grad_norm: 10.0774 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4701 loss: 1.4701 2022/07/29 22:47:35 - mmengine - INFO - Epoch(train) [135][2480/3757] lr: 1.5267e-03 eta: 19:47:31 time: 0.4057 data_time: 0.0194 memory: 17006 grad_norm: 10.3343 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6636 loss: 1.6636 2022/07/29 22:47:43 - mmengine - INFO - Epoch(train) [135][2500/3757] lr: 1.5267e-03 eta: 19:47:22 time: 0.4123 data_time: 0.0208 memory: 17006 grad_norm: 9.9283 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5425 loss: 1.5425 2022/07/29 22:47:51 - mmengine - INFO - Epoch(train) [135][2520/3757] lr: 1.5267e-03 eta: 19:47:13 time: 0.4073 data_time: 0.0201 memory: 17006 grad_norm: 10.2926 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1752 loss: 1.1752 2022/07/29 22:48:00 - mmengine - INFO - Epoch(train) [135][2540/3757] lr: 1.5267e-03 eta: 19:47:04 time: 0.4126 data_time: 0.0201 memory: 17006 grad_norm: 10.2616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1362 loss: 1.1362 2022/07/29 22:48:08 - mmengine - INFO - Epoch(train) [135][2560/3757] lr: 1.5267e-03 eta: 19:46:56 time: 0.4253 data_time: 0.0241 memory: 17006 grad_norm: 10.2004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7499 loss: 1.7499 2022/07/29 22:48:09 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:48:16 - mmengine - INFO - Epoch(train) [135][2580/3757] lr: 1.5267e-03 eta: 19:46:47 time: 0.4024 data_time: 0.0186 memory: 17006 grad_norm: 10.2673 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5851 loss: 1.5851 2022/07/29 22:48:25 - mmengine - INFO - Epoch(train) [135][2600/3757] lr: 1.5267e-03 eta: 19:46:39 time: 0.4125 data_time: 0.0211 memory: 17006 grad_norm: 9.7129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6452 loss: 1.6452 2022/07/29 22:48:33 - mmengine - INFO - Epoch(train) [135][2620/3757] lr: 1.5267e-03 eta: 19:46:30 time: 0.4120 data_time: 0.0204 memory: 17006 grad_norm: 10.0143 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3260 loss: 1.3260 2022/07/29 22:48:41 - mmengine - INFO - Epoch(train) [135][2640/3757] lr: 1.5267e-03 eta: 19:46:21 time: 0.4070 data_time: 0.0201 memory: 17006 grad_norm: 9.5790 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4493 loss: 1.4493 2022/07/29 22:48:50 - mmengine - INFO - Epoch(train) [135][2660/3757] lr: 1.5267e-03 eta: 19:46:13 time: 0.4284 data_time: 0.0196 memory: 17006 grad_norm: 9.8150 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2510 loss: 1.2510 2022/07/29 22:48:58 - mmengine - INFO - Epoch(train) [135][2680/3757] lr: 1.5267e-03 eta: 19:46:04 time: 0.4087 data_time: 0.0209 memory: 17006 grad_norm: 10.3379 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6183 loss: 1.6183 2022/07/29 22:49:06 - mmengine - INFO - Epoch(train) [135][2700/3757] lr: 1.5267e-03 eta: 19:45:55 time: 0.4033 data_time: 0.0186 memory: 17006 grad_norm: 10.1346 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5772 loss: 1.5772 2022/07/29 22:49:15 - mmengine - INFO - Epoch(train) [135][2720/3757] lr: 1.5267e-03 eta: 19:45:49 time: 0.4554 data_time: 0.0227 memory: 17006 grad_norm: 10.4176 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8337 loss: 1.8337 2022/07/29 22:49:23 - mmengine - INFO - Epoch(train) [135][2740/3757] lr: 1.5267e-03 eta: 19:45:40 time: 0.4063 data_time: 0.0190 memory: 17006 grad_norm: 10.4966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4936 loss: 1.4936 2022/07/29 22:49:32 - mmengine - INFO - Epoch(train) [135][2760/3757] lr: 1.5267e-03 eta: 19:45:31 time: 0.4161 data_time: 0.0217 memory: 17006 grad_norm: 10.3361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3099 loss: 1.3099 2022/07/29 22:49:40 - mmengine - INFO - Epoch(train) [135][2780/3757] lr: 1.5267e-03 eta: 19:45:22 time: 0.4039 data_time: 0.0176 memory: 17006 grad_norm: 9.7021 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3960 loss: 1.3960 2022/07/29 22:49:48 - mmengine - INFO - Epoch(train) [135][2800/3757] lr: 1.5267e-03 eta: 19:45:13 time: 0.4063 data_time: 0.0206 memory: 17006 grad_norm: 10.4390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6480 loss: 1.6480 2022/07/29 22:49:56 - mmengine - INFO - Epoch(train) [135][2820/3757] lr: 1.5267e-03 eta: 19:45:05 time: 0.4297 data_time: 0.0183 memory: 17006 grad_norm: 9.8642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5450 loss: 1.5450 2022/07/29 22:50:05 - mmengine - INFO - Epoch(train) [135][2840/3757] lr: 1.5267e-03 eta: 19:44:57 time: 0.4078 data_time: 0.0212 memory: 17006 grad_norm: 9.8806 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7674 loss: 1.7674 2022/07/29 22:50:13 - mmengine - INFO - Epoch(train) [135][2860/3757] lr: 1.5267e-03 eta: 19:44:48 time: 0.4054 data_time: 0.0201 memory: 17006 grad_norm: 10.0798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5549 loss: 1.5549 2022/07/29 22:50:21 - mmengine - INFO - Epoch(train) [135][2880/3757] lr: 1.5267e-03 eta: 19:44:39 time: 0.4061 data_time: 0.0217 memory: 17006 grad_norm: 10.1671 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6481 loss: 1.6481 2022/07/29 22:50:29 - mmengine - INFO - Epoch(train) [135][2900/3757] lr: 1.5267e-03 eta: 19:44:30 time: 0.4062 data_time: 0.0198 memory: 17006 grad_norm: 9.8603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3730 loss: 1.3730 2022/07/29 22:50:37 - mmengine - INFO - Epoch(train) [135][2920/3757] lr: 1.5267e-03 eta: 19:44:21 time: 0.4055 data_time: 0.0209 memory: 17006 grad_norm: 10.1225 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4626 loss: 1.4626 2022/07/29 22:50:46 - mmengine - INFO - Epoch(train) [135][2940/3757] lr: 1.5267e-03 eta: 19:44:13 time: 0.4315 data_time: 0.0211 memory: 17006 grad_norm: 10.2572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5441 loss: 1.5441 2022/07/29 22:50:54 - mmengine - INFO - Epoch(train) [135][2960/3757] lr: 1.5267e-03 eta: 19:44:04 time: 0.4067 data_time: 0.0228 memory: 17006 grad_norm: 9.7974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1666 loss: 1.1666 2022/07/29 22:51:02 - mmengine - INFO - Epoch(train) [135][2980/3757] lr: 1.5267e-03 eta: 19:43:55 time: 0.4118 data_time: 0.0190 memory: 17006 grad_norm: 9.9338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3921 loss: 1.3921 2022/07/29 22:51:10 - mmengine - INFO - Epoch(train) [135][3000/3757] lr: 1.5267e-03 eta: 19:43:46 time: 0.4061 data_time: 0.0229 memory: 17006 grad_norm: 9.9789 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4200 loss: 1.4200 2022/07/29 22:51:19 - mmengine - INFO - Epoch(train) [135][3020/3757] lr: 1.5267e-03 eta: 19:43:39 time: 0.4388 data_time: 0.0191 memory: 17006 grad_norm: 9.9981 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4298 loss: 1.4298 2022/07/29 22:51:27 - mmengine - INFO - Epoch(train) [135][3040/3757] lr: 1.5267e-03 eta: 19:43:30 time: 0.4032 data_time: 0.0205 memory: 17006 grad_norm: 9.5480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3872 loss: 1.3872 2022/07/29 22:51:35 - mmengine - INFO - Epoch(train) [135][3060/3757] lr: 1.5267e-03 eta: 19:43:21 time: 0.4072 data_time: 0.0200 memory: 17006 grad_norm: 10.0010 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4038 loss: 1.4038 2022/07/29 22:51:44 - mmengine - INFO - Epoch(train) [135][3080/3757] lr: 1.5267e-03 eta: 19:43:13 time: 0.4320 data_time: 0.0217 memory: 17006 grad_norm: 9.9008 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2406 loss: 1.2406 2022/07/29 22:51:52 - mmengine - INFO - Epoch(train) [135][3100/3757] lr: 1.5267e-03 eta: 19:43:05 time: 0.4094 data_time: 0.0208 memory: 17006 grad_norm: 10.0107 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5623 loss: 1.5623 2022/07/29 22:52:01 - mmengine - INFO - Epoch(train) [135][3120/3757] lr: 1.5267e-03 eta: 19:42:57 time: 0.4278 data_time: 0.0211 memory: 17006 grad_norm: 10.5716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6110 loss: 1.6110 2022/07/29 22:52:09 - mmengine - INFO - Epoch(train) [135][3140/3757] lr: 1.5267e-03 eta: 19:42:48 time: 0.4087 data_time: 0.0218 memory: 17006 grad_norm: 10.0161 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5072 loss: 1.5072 2022/07/29 22:52:17 - mmengine - INFO - Epoch(train) [135][3160/3757] lr: 1.5267e-03 eta: 19:42:39 time: 0.4062 data_time: 0.0202 memory: 17006 grad_norm: 10.0533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4600 loss: 1.4600 2022/07/29 22:52:26 - mmengine - INFO - Epoch(train) [135][3180/3757] lr: 1.5267e-03 eta: 19:42:30 time: 0.4153 data_time: 0.0208 memory: 17006 grad_norm: 9.8125 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3500 loss: 1.3500 2022/07/29 22:52:34 - mmengine - INFO - Epoch(train) [135][3200/3757] lr: 1.5267e-03 eta: 19:42:21 time: 0.4050 data_time: 0.0210 memory: 17006 grad_norm: 10.1162 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2914 loss: 1.2914 2022/07/29 22:52:42 - mmengine - INFO - Epoch(train) [135][3220/3757] lr: 1.5267e-03 eta: 19:42:13 time: 0.4275 data_time: 0.0216 memory: 17006 grad_norm: 10.1469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5472 loss: 1.5472 2022/07/29 22:52:50 - mmengine - INFO - Epoch(train) [135][3240/3757] lr: 1.5267e-03 eta: 19:42:05 time: 0.4095 data_time: 0.0223 memory: 17006 grad_norm: 10.2750 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5146 loss: 1.5146 2022/07/29 22:52:59 - mmengine - INFO - Epoch(train) [135][3260/3757] lr: 1.5267e-03 eta: 19:41:56 time: 0.4160 data_time: 0.0199 memory: 17006 grad_norm: 9.8855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2232 loss: 1.2232 2022/07/29 22:53:07 - mmengine - INFO - Epoch(train) [135][3280/3757] lr: 1.5267e-03 eta: 19:41:47 time: 0.4052 data_time: 0.0218 memory: 17006 grad_norm: 10.1741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3224 loss: 1.3224 2022/07/29 22:53:15 - mmengine - INFO - Epoch(train) [135][3300/3757] lr: 1.5267e-03 eta: 19:41:38 time: 0.4050 data_time: 0.0191 memory: 17006 grad_norm: 9.9681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4945 loss: 1.4945 2022/07/29 22:53:25 - mmengine - INFO - Epoch(train) [135][3320/3757] lr: 1.5267e-03 eta: 19:41:32 time: 0.4710 data_time: 0.0246 memory: 17006 grad_norm: 10.2464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6198 loss: 1.6198 2022/07/29 22:53:33 - mmengine - INFO - Epoch(train) [135][3340/3757] lr: 1.5267e-03 eta: 19:41:23 time: 0.4070 data_time: 0.0196 memory: 17006 grad_norm: 10.0426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6716 loss: 1.6716 2022/07/29 22:53:42 - mmengine - INFO - Epoch(train) [135][3360/3757] lr: 1.5267e-03 eta: 19:41:16 time: 0.4440 data_time: 0.0218 memory: 17006 grad_norm: 9.7284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6941 loss: 1.6941 2022/07/29 22:53:50 - mmengine - INFO - Epoch(train) [135][3380/3757] lr: 1.5267e-03 eta: 19:41:07 time: 0.4052 data_time: 0.0186 memory: 17006 grad_norm: 10.4353 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7275 loss: 1.7275 2022/07/29 22:53:58 - mmengine - INFO - Epoch(train) [135][3400/3757] lr: 1.5267e-03 eta: 19:40:58 time: 0.4042 data_time: 0.0207 memory: 17006 grad_norm: 10.3164 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5094 loss: 1.5094 2022/07/29 22:54:07 - mmengine - INFO - Epoch(train) [135][3420/3757] lr: 1.5267e-03 eta: 19:40:51 time: 0.4449 data_time: 0.0204 memory: 17006 grad_norm: 9.6088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4244 loss: 1.4244 2022/07/29 22:54:15 - mmengine - INFO - Epoch(train) [135][3440/3757] lr: 1.5267e-03 eta: 19:40:42 time: 0.4048 data_time: 0.0208 memory: 17006 grad_norm: 10.3328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3519 loss: 1.3519 2022/07/29 22:54:25 - mmengine - INFO - Epoch(train) [135][3460/3757] lr: 1.5267e-03 eta: 19:40:37 time: 0.4810 data_time: 0.0192 memory: 17006 grad_norm: 10.1223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5347 loss: 1.5347 2022/07/29 22:54:33 - mmengine - INFO - Epoch(train) [135][3480/3757] lr: 1.5267e-03 eta: 19:40:28 time: 0.4063 data_time: 0.0218 memory: 17006 grad_norm: 10.5634 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3106 loss: 1.3106 2022/07/29 22:54:41 - mmengine - INFO - Epoch(train) [135][3500/3757] lr: 1.5267e-03 eta: 19:40:20 time: 0.4244 data_time: 0.0211 memory: 17006 grad_norm: 9.8441 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4027 loss: 1.4027 2022/07/29 22:54:49 - mmengine - INFO - Epoch(train) [135][3520/3757] lr: 1.5267e-03 eta: 19:40:11 time: 0.4147 data_time: 0.0215 memory: 17006 grad_norm: 9.9720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4566 loss: 1.4566 2022/07/29 22:54:58 - mmengine - INFO - Epoch(train) [135][3540/3757] lr: 1.5267e-03 eta: 19:40:02 time: 0.4027 data_time: 0.0194 memory: 17006 grad_norm: 10.4883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6155 loss: 1.6155 2022/07/29 22:55:06 - mmengine - INFO - Epoch(train) [135][3560/3757] lr: 1.5267e-03 eta: 19:39:54 time: 0.4301 data_time: 0.0225 memory: 17006 grad_norm: 10.2345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2878 loss: 1.2878 2022/07/29 22:55:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:55:14 - mmengine - INFO - Epoch(train) [135][3580/3757] lr: 1.5267e-03 eta: 19:39:45 time: 0.4057 data_time: 0.0186 memory: 17006 grad_norm: 9.4194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6146 loss: 1.6146 2022/07/29 22:55:23 - mmengine - INFO - Epoch(train) [135][3600/3757] lr: 1.5267e-03 eta: 19:39:37 time: 0.4182 data_time: 0.0216 memory: 17006 grad_norm: 10.4101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7363 loss: 1.7363 2022/07/29 22:55:31 - mmengine - INFO - Epoch(train) [135][3620/3757] lr: 1.5267e-03 eta: 19:39:28 time: 0.4111 data_time: 0.0205 memory: 17006 grad_norm: 9.9960 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2474 loss: 1.2474 2022/07/29 22:55:40 - mmengine - INFO - Epoch(train) [135][3640/3757] lr: 1.5267e-03 eta: 19:39:21 time: 0.4315 data_time: 0.0243 memory: 17006 grad_norm: 10.3725 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4396 loss: 1.4396 2022/07/29 22:55:48 - mmengine - INFO - Epoch(train) [135][3660/3757] lr: 1.5267e-03 eta: 19:39:12 time: 0.4034 data_time: 0.0190 memory: 17006 grad_norm: 10.3704 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7189 loss: 1.7189 2022/07/29 22:55:56 - mmengine - INFO - Epoch(train) [135][3680/3757] lr: 1.5267e-03 eta: 19:39:03 time: 0.4061 data_time: 0.0212 memory: 17006 grad_norm: 10.0803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5651 loss: 1.5651 2022/07/29 22:56:04 - mmengine - INFO - Epoch(train) [135][3700/3757] lr: 1.5267e-03 eta: 19:38:54 time: 0.4105 data_time: 0.0188 memory: 17006 grad_norm: 10.4879 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4026 loss: 1.4026 2022/07/29 22:56:13 - mmengine - INFO - Epoch(train) [135][3720/3757] lr: 1.5267e-03 eta: 19:38:47 time: 0.4404 data_time: 0.0222 memory: 17006 grad_norm: 10.3401 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4164 loss: 1.4164 2022/07/29 22:56:21 - mmengine - INFO - Epoch(train) [135][3740/3757] lr: 1.5267e-03 eta: 19:38:38 time: 0.4119 data_time: 0.0191 memory: 17006 grad_norm: 9.9508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3497 loss: 1.3497 2022/07/29 22:56:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 22:56:28 - mmengine - INFO - Epoch(train) [135][3757/3757] lr: 1.5267e-03 eta: 19:38:38 time: 0.3942 data_time: 0.0204 memory: 17006 grad_norm: 10.3194 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3667 loss: 1.3667 2022/07/29 22:56:28 - mmengine - INFO - Saving checkpoint at 135 epochs 2022/07/29 22:56:41 - mmengine - INFO - Epoch(train) [136][20/3757] lr: 1.4645e-03 eta: 19:38:10 time: 0.5059 data_time: 0.0710 memory: 17006 grad_norm: 10.3115 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3550 loss: 1.3550 2022/07/29 22:56:49 - mmengine - INFO - Epoch(train) [136][40/3757] lr: 1.4645e-03 eta: 19:38:01 time: 0.4157 data_time: 0.0257 memory: 17006 grad_norm: 10.3178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5264 loss: 1.5264 2022/07/29 22:56:57 - mmengine - INFO - Epoch(train) [136][60/3757] lr: 1.4645e-03 eta: 19:37:52 time: 0.4023 data_time: 0.0181 memory: 17006 grad_norm: 9.9570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4708 loss: 1.4708 2022/07/29 22:57:06 - mmengine - INFO - Epoch(train) [136][80/3757] lr: 1.4645e-03 eta: 19:37:44 time: 0.4316 data_time: 0.0196 memory: 17006 grad_norm: 9.8937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5662 loss: 1.5662 2022/07/29 22:57:14 - mmengine - INFO - Epoch(train) [136][100/3757] lr: 1.4645e-03 eta: 19:37:36 time: 0.4161 data_time: 0.0193 memory: 17006 grad_norm: 10.3222 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4363 loss: 1.4363 2022/07/29 22:57:23 - mmengine - INFO - Epoch(train) [136][120/3757] lr: 1.4645e-03 eta: 19:37:28 time: 0.4195 data_time: 0.0199 memory: 17006 grad_norm: 9.9177 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/07/29 22:57:31 - mmengine - INFO - Epoch(train) [136][140/3757] lr: 1.4645e-03 eta: 19:37:19 time: 0.4182 data_time: 0.0207 memory: 17006 grad_norm: 10.0869 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3493 loss: 1.3493 2022/07/29 22:57:39 - mmengine - INFO - Epoch(train) [136][160/3757] lr: 1.4645e-03 eta: 19:37:11 time: 0.4099 data_time: 0.0212 memory: 17006 grad_norm: 9.9932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3969 loss: 1.3969 2022/07/29 22:57:48 - mmengine - INFO - Epoch(train) [136][180/3757] lr: 1.4645e-03 eta: 19:37:01 time: 0.4033 data_time: 0.0180 memory: 17006 grad_norm: 10.2305 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4675 loss: 1.4675 2022/07/29 22:57:56 - mmengine - INFO - Epoch(train) [136][200/3757] lr: 1.4645e-03 eta: 19:36:53 time: 0.4165 data_time: 0.0228 memory: 17006 grad_norm: 9.9410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3287 loss: 1.3287 2022/07/29 22:58:05 - mmengine - INFO - Epoch(train) [136][220/3757] lr: 1.4645e-03 eta: 19:36:45 time: 0.4292 data_time: 0.0173 memory: 17006 grad_norm: 10.4944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4782 loss: 1.4782 2022/07/29 22:58:13 - mmengine - INFO - Epoch(train) [136][240/3757] lr: 1.4645e-03 eta: 19:36:37 time: 0.4145 data_time: 0.0246 memory: 17006 grad_norm: 10.2246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7801 loss: 1.7801 2022/07/29 22:58:21 - mmengine - INFO - Epoch(train) [136][260/3757] lr: 1.4645e-03 eta: 19:36:28 time: 0.4069 data_time: 0.0170 memory: 17006 grad_norm: 10.5480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/07/29 22:58:30 - mmengine - INFO - Epoch(train) [136][280/3757] lr: 1.4645e-03 eta: 19:36:21 time: 0.4495 data_time: 0.0233 memory: 17006 grad_norm: 9.8994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3270 loss: 1.3270 2022/07/29 22:58:38 - mmengine - INFO - Epoch(train) [136][300/3757] lr: 1.4645e-03 eta: 19:36:12 time: 0.4025 data_time: 0.0181 memory: 17006 grad_norm: 10.0339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3634 loss: 1.3634 2022/07/29 22:58:46 - mmengine - INFO - Epoch(train) [136][320/3757] lr: 1.4645e-03 eta: 19:36:03 time: 0.4062 data_time: 0.0210 memory: 17006 grad_norm: 10.5055 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5783 loss: 1.5783 2022/07/29 22:58:55 - mmengine - INFO - Epoch(train) [136][340/3757] lr: 1.4645e-03 eta: 19:35:54 time: 0.4133 data_time: 0.0213 memory: 17006 grad_norm: 9.8683 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5776 loss: 1.5776 2022/07/29 22:59:03 - mmengine - INFO - Epoch(train) [136][360/3757] lr: 1.4645e-03 eta: 19:35:46 time: 0.4132 data_time: 0.0209 memory: 17006 grad_norm: 9.9464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6493 loss: 1.6493 2022/07/29 22:59:11 - mmengine - INFO - Epoch(train) [136][380/3757] lr: 1.4645e-03 eta: 19:35:37 time: 0.4190 data_time: 0.0201 memory: 17006 grad_norm: 10.2295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5493 loss: 1.5493 2022/07/29 22:59:19 - mmengine - INFO - Epoch(train) [136][400/3757] lr: 1.4645e-03 eta: 19:35:28 time: 0.4070 data_time: 0.0208 memory: 17006 grad_norm: 9.9928 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3998 loss: 1.3998 2022/07/29 22:59:27 - mmengine - INFO - Epoch(train) [136][420/3757] lr: 1.4645e-03 eta: 19:35:19 time: 0.4043 data_time: 0.0189 memory: 17006 grad_norm: 10.2821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5848 loss: 1.5848 2022/07/29 22:59:36 - mmengine - INFO - Epoch(train) [136][440/3757] lr: 1.4645e-03 eta: 19:35:11 time: 0.4183 data_time: 0.0234 memory: 17006 grad_norm: 10.2696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2648 loss: 1.2648 2022/07/29 22:59:45 - mmengine - INFO - Epoch(train) [136][460/3757] lr: 1.4645e-03 eta: 19:35:03 time: 0.4339 data_time: 0.0174 memory: 17006 grad_norm: 10.4889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6285 loss: 1.6285 2022/07/29 22:59:53 - mmengine - INFO - Epoch(train) [136][480/3757] lr: 1.4645e-03 eta: 19:34:56 time: 0.4334 data_time: 0.0239 memory: 17006 grad_norm: 10.8078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4440 loss: 1.4440 2022/07/29 23:00:01 - mmengine - INFO - Epoch(train) [136][500/3757] lr: 1.4645e-03 eta: 19:34:47 time: 0.4050 data_time: 0.0188 memory: 17006 grad_norm: 10.6951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7378 loss: 1.7378 2022/07/29 23:00:15 - mmengine - INFO - Epoch(train) [136][520/3757] lr: 1.4645e-03 eta: 19:34:51 time: 0.6782 data_time: 0.0257 memory: 17006 grad_norm: 10.2145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7368 loss: 1.7368 2022/07/29 23:00:23 - mmengine - INFO - Epoch(train) [136][540/3757] lr: 1.4645e-03 eta: 19:34:42 time: 0.4059 data_time: 0.0208 memory: 17006 grad_norm: 10.1703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/07/29 23:00:32 - mmengine - INFO - Epoch(train) [136][560/3757] lr: 1.4645e-03 eta: 19:34:35 time: 0.4438 data_time: 0.0194 memory: 17006 grad_norm: 9.9654 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4619 loss: 1.4619 2022/07/29 23:00:40 - mmengine - INFO - Epoch(train) [136][580/3757] lr: 1.4645e-03 eta: 19:34:26 time: 0.4128 data_time: 0.0235 memory: 17006 grad_norm: 10.3471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5515 loss: 1.5515 2022/07/29 23:00:48 - mmengine - INFO - Epoch(train) [136][600/3757] lr: 1.4645e-03 eta: 19:34:17 time: 0.4032 data_time: 0.0176 memory: 17006 grad_norm: 10.0360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6638 loss: 1.6638 2022/07/29 23:00:57 - mmengine - INFO - Epoch(train) [136][620/3757] lr: 1.4645e-03 eta: 19:34:08 time: 0.4113 data_time: 0.0222 memory: 17006 grad_norm: 9.7606 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4563 loss: 1.4563 2022/07/29 23:01:05 - mmengine - INFO - Epoch(train) [136][640/3757] lr: 1.4645e-03 eta: 19:33:59 time: 0.4068 data_time: 0.0198 memory: 17006 grad_norm: 10.1291 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6816 loss: 1.6816 2022/07/29 23:01:13 - mmengine - INFO - Epoch(train) [136][660/3757] lr: 1.4645e-03 eta: 19:33:50 time: 0.4087 data_time: 0.0215 memory: 17006 grad_norm: 9.6980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3844 loss: 1.3844 2022/07/29 23:01:21 - mmengine - INFO - Epoch(train) [136][680/3757] lr: 1.4645e-03 eta: 19:33:42 time: 0.4115 data_time: 0.0192 memory: 17006 grad_norm: 9.7390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4911 loss: 1.4911 2022/07/29 23:01:30 - mmengine - INFO - Epoch(train) [136][700/3757] lr: 1.4645e-03 eta: 19:33:33 time: 0.4195 data_time: 0.0217 memory: 17006 grad_norm: 9.8582 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5418 loss: 1.5418 2022/07/29 23:01:38 - mmengine - INFO - Epoch(train) [136][720/3757] lr: 1.4645e-03 eta: 19:33:24 time: 0.4042 data_time: 0.0177 memory: 17006 grad_norm: 10.3893 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5833 loss: 1.5833 2022/07/29 23:01:46 - mmengine - INFO - Epoch(train) [136][740/3757] lr: 1.4645e-03 eta: 19:33:16 time: 0.4099 data_time: 0.0205 memory: 17006 grad_norm: 10.2352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/07/29 23:01:55 - mmengine - INFO - Epoch(train) [136][760/3757] lr: 1.4645e-03 eta: 19:33:08 time: 0.4408 data_time: 0.0210 memory: 17006 grad_norm: 10.5002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3191 loss: 1.3191 2022/07/29 23:02:03 - mmengine - INFO - Epoch(train) [136][780/3757] lr: 1.4645e-03 eta: 19:33:00 time: 0.4102 data_time: 0.0214 memory: 17006 grad_norm: 10.1099 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6097 loss: 1.6097 2022/07/29 23:02:12 - mmengine - INFO - Epoch(train) [136][800/3757] lr: 1.4645e-03 eta: 19:32:52 time: 0.4364 data_time: 0.0203 memory: 17006 grad_norm: 10.5497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3335 loss: 1.3335 2022/07/29 23:02:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:02:20 - mmengine - INFO - Epoch(train) [136][820/3757] lr: 1.4645e-03 eta: 19:32:43 time: 0.4045 data_time: 0.0207 memory: 17006 grad_norm: 9.7901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3096 loss: 1.3096 2022/07/29 23:02:28 - mmengine - INFO - Epoch(train) [136][840/3757] lr: 1.4645e-03 eta: 19:32:34 time: 0.4030 data_time: 0.0179 memory: 17006 grad_norm: 10.3013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3560 loss: 1.3560 2022/07/29 23:02:37 - mmengine - INFO - Epoch(train) [136][860/3757] lr: 1.4645e-03 eta: 19:32:27 time: 0.4519 data_time: 0.0238 memory: 17006 grad_norm: 9.6524 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4443 loss: 1.4443 2022/07/29 23:02:45 - mmengine - INFO - Epoch(train) [136][880/3757] lr: 1.4645e-03 eta: 19:32:19 time: 0.4113 data_time: 0.0189 memory: 17006 grad_norm: 9.7878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4729 loss: 1.4729 2022/07/29 23:02:54 - mmengine - INFO - Epoch(train) [136][900/3757] lr: 1.4645e-03 eta: 19:32:10 time: 0.4107 data_time: 0.0225 memory: 17006 grad_norm: 10.3430 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3123 loss: 1.3123 2022/07/29 23:03:02 - mmengine - INFO - Epoch(train) [136][920/3757] lr: 1.4645e-03 eta: 19:32:01 time: 0.4051 data_time: 0.0178 memory: 17006 grad_norm: 9.9589 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5068 loss: 1.5068 2022/07/29 23:03:10 - mmengine - INFO - Epoch(train) [136][940/3757] lr: 1.4645e-03 eta: 19:31:52 time: 0.4090 data_time: 0.0223 memory: 17006 grad_norm: 9.5727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6771 loss: 1.6771 2022/07/29 23:03:18 - mmengine - INFO - Epoch(train) [136][960/3757] lr: 1.4645e-03 eta: 19:31:43 time: 0.4124 data_time: 0.0180 memory: 17006 grad_norm: 10.0301 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4071 loss: 1.4071 2022/07/29 23:03:26 - mmengine - INFO - Epoch(train) [136][980/3757] lr: 1.4645e-03 eta: 19:31:35 time: 0.4094 data_time: 0.0203 memory: 17006 grad_norm: 10.0231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2829 loss: 1.2829 2022/07/29 23:03:35 - mmengine - INFO - Epoch(train) [136][1000/3757] lr: 1.4645e-03 eta: 19:31:26 time: 0.4178 data_time: 0.0205 memory: 17006 grad_norm: 9.8694 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2138 loss: 1.2138 2022/07/29 23:03:43 - mmengine - INFO - Epoch(train) [136][1020/3757] lr: 1.4645e-03 eta: 19:31:17 time: 0.4068 data_time: 0.0217 memory: 17006 grad_norm: 9.6910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6267 loss: 1.6267 2022/07/29 23:03:51 - mmengine - INFO - Epoch(train) [136][1040/3757] lr: 1.4645e-03 eta: 19:31:09 time: 0.4124 data_time: 0.0220 memory: 17006 grad_norm: 10.3816 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5430 loss: 1.5430 2022/07/29 23:03:59 - mmengine - INFO - Epoch(train) [136][1060/3757] lr: 1.4645e-03 eta: 19:31:00 time: 0.4060 data_time: 0.0215 memory: 17006 grad_norm: 9.8471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3239 loss: 1.3239 2022/07/29 23:04:07 - mmengine - INFO - Epoch(train) [136][1080/3757] lr: 1.4645e-03 eta: 19:30:51 time: 0.4042 data_time: 0.0175 memory: 17006 grad_norm: 9.9199 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/07/29 23:04:16 - mmengine - INFO - Epoch(train) [136][1100/3757] lr: 1.4645e-03 eta: 19:30:42 time: 0.4124 data_time: 0.0223 memory: 17006 grad_norm: 9.9266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4183 loss: 1.4183 2022/07/29 23:04:24 - mmengine - INFO - Epoch(train) [136][1120/3757] lr: 1.4645e-03 eta: 19:30:34 time: 0.4122 data_time: 0.0177 memory: 17006 grad_norm: 10.2261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1558 loss: 1.1558 2022/07/29 23:04:33 - mmengine - INFO - Epoch(train) [136][1140/3757] lr: 1.4645e-03 eta: 19:30:25 time: 0.4244 data_time: 0.0246 memory: 17006 grad_norm: 9.6087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5986 loss: 1.5986 2022/07/29 23:04:41 - mmengine - INFO - Epoch(train) [136][1160/3757] lr: 1.4645e-03 eta: 19:30:18 time: 0.4442 data_time: 0.0177 memory: 17006 grad_norm: 10.2971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4106 loss: 1.4106 2022/07/29 23:04:50 - mmengine - INFO - Epoch(train) [136][1180/3757] lr: 1.4645e-03 eta: 19:30:11 time: 0.4344 data_time: 0.0241 memory: 17006 grad_norm: 10.0993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4954 loss: 1.4954 2022/07/29 23:04:58 - mmengine - INFO - Epoch(train) [136][1200/3757] lr: 1.4645e-03 eta: 19:30:02 time: 0.4032 data_time: 0.0181 memory: 17006 grad_norm: 10.1890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6420 loss: 1.6420 2022/07/29 23:05:06 - mmengine - INFO - Epoch(train) [136][1220/3757] lr: 1.4645e-03 eta: 19:29:53 time: 0.4065 data_time: 0.0208 memory: 17006 grad_norm: 10.2604 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6309 loss: 1.6309 2022/07/29 23:05:15 - mmengine - INFO - Epoch(train) [136][1240/3757] lr: 1.4645e-03 eta: 19:29:44 time: 0.4171 data_time: 0.0186 memory: 17006 grad_norm: 10.3358 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5651 loss: 1.5651 2022/07/29 23:05:24 - mmengine - INFO - Epoch(train) [136][1260/3757] lr: 1.4645e-03 eta: 19:29:37 time: 0.4389 data_time: 0.0211 memory: 17006 grad_norm: 9.9089 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5432 loss: 1.5432 2022/07/29 23:05:32 - mmengine - INFO - Epoch(train) [136][1280/3757] lr: 1.4645e-03 eta: 19:29:29 time: 0.4182 data_time: 0.0188 memory: 17006 grad_norm: 9.8463 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6314 loss: 1.6314 2022/07/29 23:05:40 - mmengine - INFO - Epoch(train) [136][1300/3757] lr: 1.4645e-03 eta: 19:29:20 time: 0.4212 data_time: 0.0214 memory: 17006 grad_norm: 9.9149 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5802 loss: 1.5802 2022/07/29 23:05:48 - mmengine - INFO - Epoch(train) [136][1320/3757] lr: 1.4645e-03 eta: 19:29:11 time: 0.4013 data_time: 0.0174 memory: 17006 grad_norm: 9.9293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5139 loss: 1.5139 2022/07/29 23:05:57 - mmengine - INFO - Epoch(train) [136][1340/3757] lr: 1.4645e-03 eta: 19:29:02 time: 0.4112 data_time: 0.0221 memory: 17006 grad_norm: 9.5192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2323 loss: 1.2323 2022/07/29 23:06:05 - mmengine - INFO - Epoch(train) [136][1360/3757] lr: 1.4645e-03 eta: 19:28:54 time: 0.4152 data_time: 0.0178 memory: 17006 grad_norm: 10.3003 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8053 loss: 1.8053 2022/07/29 23:06:13 - mmengine - INFO - Epoch(train) [136][1380/3757] lr: 1.4645e-03 eta: 19:28:46 time: 0.4188 data_time: 0.0228 memory: 17006 grad_norm: 10.1843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6514 loss: 1.6514 2022/07/29 23:06:22 - mmengine - INFO - Epoch(train) [136][1400/3757] lr: 1.4645e-03 eta: 19:28:38 time: 0.4333 data_time: 0.0200 memory: 17006 grad_norm: 10.1501 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3540 loss: 1.3540 2022/07/29 23:06:31 - mmengine - INFO - Epoch(train) [136][1420/3757] lr: 1.4645e-03 eta: 19:28:31 time: 0.4413 data_time: 0.0244 memory: 17006 grad_norm: 10.5758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5937 loss: 1.5937 2022/07/29 23:06:39 - mmengine - INFO - Epoch(train) [136][1440/3757] lr: 1.4645e-03 eta: 19:28:22 time: 0.4034 data_time: 0.0181 memory: 17006 grad_norm: 10.3190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3612 loss: 1.3612 2022/07/29 23:06:47 - mmengine - INFO - Epoch(train) [136][1460/3757] lr: 1.4645e-03 eta: 19:28:13 time: 0.4039 data_time: 0.0199 memory: 17006 grad_norm: 10.4666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5565 loss: 1.5565 2022/07/29 23:06:56 - mmengine - INFO - Epoch(train) [136][1480/3757] lr: 1.4645e-03 eta: 19:28:05 time: 0.4257 data_time: 0.0194 memory: 17006 grad_norm: 10.4800 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6572 loss: 1.6572 2022/07/29 23:07:04 - mmengine - INFO - Epoch(train) [136][1500/3757] lr: 1.4645e-03 eta: 19:27:56 time: 0.4081 data_time: 0.0216 memory: 17006 grad_norm: 9.9862 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4466 loss: 1.4466 2022/07/29 23:07:12 - mmengine - INFO - Epoch(train) [136][1520/3757] lr: 1.4645e-03 eta: 19:27:48 time: 0.4277 data_time: 0.0204 memory: 17006 grad_norm: 10.2524 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4148 loss: 1.4148 2022/07/29 23:07:21 - mmengine - INFO - Epoch(train) [136][1540/3757] lr: 1.4645e-03 eta: 19:27:39 time: 0.4083 data_time: 0.0214 memory: 17006 grad_norm: 10.1531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3752 loss: 1.3752 2022/07/29 23:07:29 - mmengine - INFO - Epoch(train) [136][1560/3757] lr: 1.4645e-03 eta: 19:27:30 time: 0.4028 data_time: 0.0172 memory: 17006 grad_norm: 10.0350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6626 loss: 1.6626 2022/07/29 23:07:37 - mmengine - INFO - Epoch(train) [136][1580/3757] lr: 1.4645e-03 eta: 19:27:22 time: 0.4348 data_time: 0.0233 memory: 17006 grad_norm: 10.0305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4292 loss: 1.4292 2022/07/29 23:07:46 - mmengine - INFO - Epoch(train) [136][1600/3757] lr: 1.4645e-03 eta: 19:27:13 time: 0.4036 data_time: 0.0179 memory: 17006 grad_norm: 10.5739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2723 loss: 1.2723 2022/07/29 23:07:54 - mmengine - INFO - Epoch(train) [136][1620/3757] lr: 1.4645e-03 eta: 19:27:05 time: 0.4172 data_time: 0.0221 memory: 17006 grad_norm: 10.1597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6482 loss: 1.6482 2022/07/29 23:08:02 - mmengine - INFO - Epoch(train) [136][1640/3757] lr: 1.4645e-03 eta: 19:26:56 time: 0.4046 data_time: 0.0181 memory: 17006 grad_norm: 10.1533 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6318 loss: 1.6318 2022/07/29 23:08:11 - mmengine - INFO - Epoch(train) [136][1660/3757] lr: 1.4645e-03 eta: 19:26:48 time: 0.4283 data_time: 0.0221 memory: 17006 grad_norm: 9.9031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3060 loss: 1.3060 2022/07/29 23:08:19 - mmengine - INFO - Epoch(train) [136][1680/3757] lr: 1.4645e-03 eta: 19:26:39 time: 0.4019 data_time: 0.0180 memory: 17006 grad_norm: 10.4707 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4912 loss: 1.4912 2022/07/29 23:08:27 - mmengine - INFO - Epoch(train) [136][1700/3757] lr: 1.4645e-03 eta: 19:26:30 time: 0.4060 data_time: 0.0210 memory: 17006 grad_norm: 10.0015 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/07/29 23:08:35 - mmengine - INFO - Epoch(train) [136][1720/3757] lr: 1.4645e-03 eta: 19:26:22 time: 0.4259 data_time: 0.0200 memory: 17006 grad_norm: 9.7937 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2767 loss: 1.2767 2022/07/29 23:08:44 - mmengine - INFO - Epoch(train) [136][1740/3757] lr: 1.4645e-03 eta: 19:26:13 time: 0.4063 data_time: 0.0217 memory: 17006 grad_norm: 9.9283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1755 loss: 1.1755 2022/07/29 23:08:52 - mmengine - INFO - Epoch(train) [136][1760/3757] lr: 1.4645e-03 eta: 19:26:05 time: 0.4266 data_time: 0.0193 memory: 17006 grad_norm: 9.9644 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6444 loss: 1.6444 2022/07/29 23:09:00 - mmengine - INFO - Epoch(train) [136][1780/3757] lr: 1.4645e-03 eta: 19:25:56 time: 0.4049 data_time: 0.0220 memory: 17006 grad_norm: 10.8633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7564 loss: 1.7564 2022/07/29 23:09:08 - mmengine - INFO - Epoch(train) [136][1800/3757] lr: 1.4645e-03 eta: 19:25:47 time: 0.4129 data_time: 0.0193 memory: 17006 grad_norm: 10.1564 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5415 loss: 1.5415 2022/07/29 23:09:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:09:17 - mmengine - INFO - Epoch(train) [136][1820/3757] lr: 1.4645e-03 eta: 19:25:39 time: 0.4114 data_time: 0.0206 memory: 17006 grad_norm: 9.9113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5865 loss: 1.5865 2022/07/29 23:09:25 - mmengine - INFO - Epoch(train) [136][1840/3757] lr: 1.4645e-03 eta: 19:25:30 time: 0.4133 data_time: 0.0211 memory: 17006 grad_norm: 9.9234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3872 loss: 1.3872 2022/07/29 23:09:33 - mmengine - INFO - Epoch(train) [136][1860/3757] lr: 1.4645e-03 eta: 19:25:21 time: 0.4100 data_time: 0.0212 memory: 17006 grad_norm: 10.0292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4123 loss: 1.4123 2022/07/29 23:09:41 - mmengine - INFO - Epoch(train) [136][1880/3757] lr: 1.4645e-03 eta: 19:25:13 time: 0.4083 data_time: 0.0201 memory: 17006 grad_norm: 9.9114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6706 loss: 1.6706 2022/07/29 23:09:50 - mmengine - INFO - Epoch(train) [136][1900/3757] lr: 1.4645e-03 eta: 19:25:04 time: 0.4045 data_time: 0.0206 memory: 17006 grad_norm: 9.7776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1303 loss: 1.1303 2022/07/29 23:09:58 - mmengine - INFO - Epoch(train) [136][1920/3757] lr: 1.4645e-03 eta: 19:24:55 time: 0.4050 data_time: 0.0187 memory: 17006 grad_norm: 10.1763 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.6480 loss: 1.6480 2022/07/29 23:10:06 - mmengine - INFO - Epoch(train) [136][1940/3757] lr: 1.4645e-03 eta: 19:24:46 time: 0.4168 data_time: 0.0231 memory: 17006 grad_norm: 10.0952 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5397 loss: 1.5397 2022/07/29 23:10:15 - mmengine - INFO - Epoch(train) [136][1960/3757] lr: 1.4645e-03 eta: 19:24:38 time: 0.4233 data_time: 0.0179 memory: 17006 grad_norm: 10.3800 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5190 loss: 1.5190 2022/07/29 23:10:23 - mmengine - INFO - Epoch(train) [136][1980/3757] lr: 1.4645e-03 eta: 19:24:29 time: 0.4089 data_time: 0.0239 memory: 17006 grad_norm: 10.1391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4599 loss: 1.4599 2022/07/29 23:10:31 - mmengine - INFO - Epoch(train) [136][2000/3757] lr: 1.4645e-03 eta: 19:24:21 time: 0.4111 data_time: 0.0173 memory: 17006 grad_norm: 10.6446 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4879 loss: 1.4879 2022/07/29 23:10:39 - mmengine - INFO - Epoch(train) [136][2020/3757] lr: 1.4645e-03 eta: 19:24:12 time: 0.4059 data_time: 0.0215 memory: 17006 grad_norm: 10.2763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3493 loss: 1.3493 2022/07/29 23:10:50 - mmengine - INFO - Epoch(train) [136][2040/3757] lr: 1.4645e-03 eta: 19:24:10 time: 0.5624 data_time: 0.0241 memory: 17006 grad_norm: 10.3449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3526 loss: 1.3526 2022/07/29 23:10:59 - mmengine - INFO - Epoch(train) [136][2060/3757] lr: 1.4645e-03 eta: 19:24:01 time: 0.4050 data_time: 0.0222 memory: 17006 grad_norm: 9.9036 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4173 loss: 1.4173 2022/07/29 23:11:07 - mmengine - INFO - Epoch(train) [136][2080/3757] lr: 1.4645e-03 eta: 19:23:53 time: 0.4150 data_time: 0.0190 memory: 17006 grad_norm: 9.7546 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4148 loss: 1.4148 2022/07/29 23:11:15 - mmengine - INFO - Epoch(train) [136][2100/3757] lr: 1.4645e-03 eta: 19:23:44 time: 0.4099 data_time: 0.0203 memory: 17006 grad_norm: 10.4428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6153 loss: 1.6153 2022/07/29 23:11:23 - mmengine - INFO - Epoch(train) [136][2120/3757] lr: 1.4645e-03 eta: 19:23:35 time: 0.4106 data_time: 0.0203 memory: 17006 grad_norm: 10.3219 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5303 loss: 1.5303 2022/07/29 23:11:32 - mmengine - INFO - Epoch(train) [136][2140/3757] lr: 1.4645e-03 eta: 19:23:28 time: 0.4507 data_time: 0.0212 memory: 17006 grad_norm: 9.9778 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5979 loss: 1.5979 2022/07/29 23:11:41 - mmengine - INFO - Epoch(train) [136][2160/3757] lr: 1.4645e-03 eta: 19:23:20 time: 0.4203 data_time: 0.0204 memory: 17006 grad_norm: 10.2144 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5034 loss: 1.5034 2022/07/29 23:11:49 - mmengine - INFO - Epoch(train) [136][2180/3757] lr: 1.4645e-03 eta: 19:23:11 time: 0.4043 data_time: 0.0209 memory: 17006 grad_norm: 10.0829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5960 loss: 1.5960 2022/07/29 23:11:57 - mmengine - INFO - Epoch(train) [136][2200/3757] lr: 1.4645e-03 eta: 19:23:02 time: 0.4106 data_time: 0.0176 memory: 17006 grad_norm: 9.8694 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4808 loss: 1.4808 2022/07/29 23:12:05 - mmengine - INFO - Epoch(train) [136][2220/3757] lr: 1.4645e-03 eta: 19:22:53 time: 0.4105 data_time: 0.0229 memory: 17006 grad_norm: 10.3080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/07/29 23:12:14 - mmengine - INFO - Epoch(train) [136][2240/3757] lr: 1.4645e-03 eta: 19:22:45 time: 0.4106 data_time: 0.0189 memory: 17006 grad_norm: 9.8973 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8382 loss: 1.8382 2022/07/29 23:12:22 - mmengine - INFO - Epoch(train) [136][2260/3757] lr: 1.4645e-03 eta: 19:22:37 time: 0.4311 data_time: 0.0228 memory: 17006 grad_norm: 10.2007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6999 loss: 1.6999 2022/07/29 23:12:30 - mmengine - INFO - Epoch(train) [136][2280/3757] lr: 1.4645e-03 eta: 19:22:28 time: 0.4056 data_time: 0.0193 memory: 17006 grad_norm: 9.6192 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4129 loss: 1.4129 2022/07/29 23:12:38 - mmengine - INFO - Epoch(train) [136][2300/3757] lr: 1.4645e-03 eta: 19:22:19 time: 0.4058 data_time: 0.0211 memory: 17006 grad_norm: 10.3401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5814 loss: 1.5814 2022/07/29 23:12:47 - mmengine - INFO - Epoch(train) [136][2320/3757] lr: 1.4645e-03 eta: 19:22:11 time: 0.4182 data_time: 0.0189 memory: 17006 grad_norm: 10.3855 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4863 loss: 1.4863 2022/07/29 23:12:55 - mmengine - INFO - Epoch(train) [136][2340/3757] lr: 1.4645e-03 eta: 19:22:02 time: 0.4052 data_time: 0.0205 memory: 17006 grad_norm: 9.9557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3596 loss: 1.3596 2022/07/29 23:13:04 - mmengine - INFO - Epoch(train) [136][2360/3757] lr: 1.4645e-03 eta: 19:21:55 time: 0.4627 data_time: 0.0188 memory: 17006 grad_norm: 10.4251 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5782 loss: 1.5782 2022/07/29 23:13:12 - mmengine - INFO - Epoch(train) [136][2380/3757] lr: 1.4645e-03 eta: 19:21:47 time: 0.4063 data_time: 0.0211 memory: 17006 grad_norm: 10.2630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4066 loss: 1.4066 2022/07/29 23:13:21 - mmengine - INFO - Epoch(train) [136][2400/3757] lr: 1.4645e-03 eta: 19:21:38 time: 0.4166 data_time: 0.0192 memory: 17006 grad_norm: 10.2676 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4906 loss: 1.4906 2022/07/29 23:13:29 - mmengine - INFO - Epoch(train) [136][2420/3757] lr: 1.4645e-03 eta: 19:21:29 time: 0.4054 data_time: 0.0207 memory: 17006 grad_norm: 10.5055 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4455 loss: 1.4455 2022/07/29 23:13:37 - mmengine - INFO - Epoch(train) [136][2440/3757] lr: 1.4645e-03 eta: 19:21:20 time: 0.4024 data_time: 0.0180 memory: 17006 grad_norm: 9.9255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6161 loss: 1.6161 2022/07/29 23:13:45 - mmengine - INFO - Epoch(train) [136][2460/3757] lr: 1.4645e-03 eta: 19:21:12 time: 0.4174 data_time: 0.0225 memory: 17006 grad_norm: 10.3962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5444 loss: 1.5444 2022/07/29 23:13:54 - mmengine - INFO - Epoch(train) [136][2480/3757] lr: 1.4645e-03 eta: 19:21:03 time: 0.4095 data_time: 0.0181 memory: 17006 grad_norm: 10.4271 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.4240 loss: 1.4240 2022/07/29 23:14:02 - mmengine - INFO - Epoch(train) [136][2500/3757] lr: 1.4645e-03 eta: 19:20:54 time: 0.4141 data_time: 0.0226 memory: 17006 grad_norm: 10.2469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4416 loss: 1.4416 2022/07/29 23:14:10 - mmengine - INFO - Epoch(train) [136][2520/3757] lr: 1.4645e-03 eta: 19:20:45 time: 0.4021 data_time: 0.0173 memory: 17006 grad_norm: 10.4882 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4718 loss: 1.4718 2022/07/29 23:14:18 - mmengine - INFO - Epoch(train) [136][2540/3757] lr: 1.4645e-03 eta: 19:20:37 time: 0.4155 data_time: 0.0254 memory: 17006 grad_norm: 10.4849 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4063 loss: 1.4063 2022/07/29 23:14:27 - mmengine - INFO - Epoch(train) [136][2560/3757] lr: 1.4645e-03 eta: 19:20:29 time: 0.4192 data_time: 0.0199 memory: 17006 grad_norm: 10.3194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4093 loss: 1.4093 2022/07/29 23:14:35 - mmengine - INFO - Epoch(train) [136][2580/3757] lr: 1.4645e-03 eta: 19:20:20 time: 0.4052 data_time: 0.0215 memory: 17006 grad_norm: 10.3868 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3578 loss: 1.3578 2022/07/29 23:14:43 - mmengine - INFO - Epoch(train) [136][2600/3757] lr: 1.4645e-03 eta: 19:20:11 time: 0.4229 data_time: 0.0221 memory: 17006 grad_norm: 10.1532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5460 loss: 1.5460 2022/07/29 23:14:51 - mmengine - INFO - Epoch(train) [136][2620/3757] lr: 1.4645e-03 eta: 19:20:02 time: 0.4053 data_time: 0.0206 memory: 17006 grad_norm: 10.4254 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5337 loss: 1.5337 2022/07/29 23:14:59 - mmengine - INFO - Epoch(train) [136][2640/3757] lr: 1.4645e-03 eta: 19:19:53 time: 0.4020 data_time: 0.0171 memory: 17006 grad_norm: 10.0576 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1681 loss: 1.1681 2022/07/29 23:15:09 - mmengine - INFO - Epoch(train) [136][2660/3757] lr: 1.4645e-03 eta: 19:19:47 time: 0.4627 data_time: 0.0216 memory: 17006 grad_norm: 10.0718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4241 loss: 1.4241 2022/07/29 23:15:17 - mmengine - INFO - Epoch(train) [136][2680/3757] lr: 1.4645e-03 eta: 19:19:38 time: 0.4056 data_time: 0.0174 memory: 17006 grad_norm: 10.3963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4896 loss: 1.4896 2022/07/29 23:15:26 - mmengine - INFO - Epoch(train) [136][2700/3757] lr: 1.4645e-03 eta: 19:19:31 time: 0.4429 data_time: 0.0229 memory: 17006 grad_norm: 10.4940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5931 loss: 1.5931 2022/07/29 23:15:34 - mmengine - INFO - Epoch(train) [136][2720/3757] lr: 1.4645e-03 eta: 19:19:22 time: 0.4023 data_time: 0.0182 memory: 17006 grad_norm: 9.7456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4119 loss: 1.4119 2022/07/29 23:15:42 - mmengine - INFO - Epoch(train) [136][2740/3757] lr: 1.4645e-03 eta: 19:19:13 time: 0.4184 data_time: 0.0236 memory: 17006 grad_norm: 10.2945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3176 loss: 1.3176 2022/07/29 23:15:50 - mmengine - INFO - Epoch(train) [136][2760/3757] lr: 1.4645e-03 eta: 19:19:04 time: 0.4055 data_time: 0.0197 memory: 17006 grad_norm: 10.4925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4279 loss: 1.4279 2022/07/29 23:15:59 - mmengine - INFO - Epoch(train) [136][2780/3757] lr: 1.4645e-03 eta: 19:18:56 time: 0.4186 data_time: 0.0213 memory: 17006 grad_norm: 10.0692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6717 loss: 1.6717 2022/07/29 23:16:07 - mmengine - INFO - Epoch(train) [136][2800/3757] lr: 1.4645e-03 eta: 19:18:48 time: 0.4195 data_time: 0.0198 memory: 17006 grad_norm: 10.4683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/07/29 23:16:09 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:16:16 - mmengine - INFO - Epoch(train) [136][2820/3757] lr: 1.4645e-03 eta: 19:18:40 time: 0.4303 data_time: 0.0223 memory: 17006 grad_norm: 10.1412 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3791 loss: 1.3791 2022/07/29 23:16:24 - mmengine - INFO - Epoch(train) [136][2840/3757] lr: 1.4645e-03 eta: 19:18:32 time: 0.4317 data_time: 0.0191 memory: 17006 grad_norm: 10.3649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4737 loss: 1.4737 2022/07/29 23:16:33 - mmengine - INFO - Epoch(train) [136][2860/3757] lr: 1.4645e-03 eta: 19:18:23 time: 0.4077 data_time: 0.0209 memory: 17006 grad_norm: 10.2391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3635 loss: 1.3635 2022/07/29 23:16:41 - mmengine - INFO - Epoch(train) [136][2880/3757] lr: 1.4645e-03 eta: 19:18:15 time: 0.4245 data_time: 0.0220 memory: 17006 grad_norm: 10.2349 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7406 loss: 1.7406 2022/07/29 23:16:49 - mmengine - INFO - Epoch(train) [136][2900/3757] lr: 1.4645e-03 eta: 19:18:06 time: 0.4041 data_time: 0.0210 memory: 17006 grad_norm: 10.2047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2406 loss: 1.2406 2022/07/29 23:16:57 - mmengine - INFO - Epoch(train) [136][2920/3757] lr: 1.4645e-03 eta: 19:17:58 time: 0.4077 data_time: 0.0185 memory: 17006 grad_norm: 10.3121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4277 loss: 1.4277 2022/07/29 23:17:06 - mmengine - INFO - Epoch(train) [136][2940/3757] lr: 1.4645e-03 eta: 19:17:49 time: 0.4170 data_time: 0.0223 memory: 17006 grad_norm: 10.3615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3172 loss: 1.3172 2022/07/29 23:17:14 - mmengine - INFO - Epoch(train) [136][2960/3757] lr: 1.4645e-03 eta: 19:17:40 time: 0.4108 data_time: 0.0190 memory: 17006 grad_norm: 10.5711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2343 loss: 1.2343 2022/07/29 23:17:22 - mmengine - INFO - Epoch(train) [136][2980/3757] lr: 1.4645e-03 eta: 19:17:31 time: 0.4058 data_time: 0.0215 memory: 17006 grad_norm: 10.3168 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4507 loss: 1.4507 2022/07/29 23:17:30 - mmengine - INFO - Epoch(train) [136][3000/3757] lr: 1.4645e-03 eta: 19:17:22 time: 0.4019 data_time: 0.0173 memory: 17006 grad_norm: 9.7750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3174 loss: 1.3174 2022/07/29 23:17:39 - mmengine - INFO - Epoch(train) [136][3020/3757] lr: 1.4645e-03 eta: 19:17:14 time: 0.4141 data_time: 0.0274 memory: 17006 grad_norm: 10.0761 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6450 loss: 1.6450 2022/07/29 23:17:47 - mmengine - INFO - Epoch(train) [136][3040/3757] lr: 1.4645e-03 eta: 19:17:05 time: 0.4049 data_time: 0.0182 memory: 17006 grad_norm: 9.7966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2856 loss: 1.2856 2022/07/29 23:17:56 - mmengine - INFO - Epoch(train) [136][3060/3757] lr: 1.4645e-03 eta: 19:16:58 time: 0.4526 data_time: 0.0230 memory: 17006 grad_norm: 10.2951 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6638 loss: 1.6638 2022/07/29 23:18:04 - mmengine - INFO - Epoch(train) [136][3080/3757] lr: 1.4645e-03 eta: 19:16:49 time: 0.4054 data_time: 0.0187 memory: 17006 grad_norm: 10.0886 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3981 loss: 1.3981 2022/07/29 23:18:14 - mmengine - INFO - Epoch(train) [136][3100/3757] lr: 1.4645e-03 eta: 19:16:44 time: 0.4806 data_time: 0.0288 memory: 17006 grad_norm: 9.9915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6020 loss: 1.6020 2022/07/29 23:18:22 - mmengine - INFO - Epoch(train) [136][3120/3757] lr: 1.4645e-03 eta: 19:16:35 time: 0.4058 data_time: 0.0178 memory: 17006 grad_norm: 10.1170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3236 loss: 1.3236 2022/07/29 23:18:30 - mmengine - INFO - Epoch(train) [136][3140/3757] lr: 1.4645e-03 eta: 19:16:26 time: 0.4046 data_time: 0.0214 memory: 17006 grad_norm: 10.2344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4158 loss: 1.4158 2022/07/29 23:18:38 - mmengine - INFO - Epoch(train) [136][3160/3757] lr: 1.4645e-03 eta: 19:16:18 time: 0.4329 data_time: 0.0200 memory: 17006 grad_norm: 10.2083 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5019 loss: 1.5019 2022/07/29 23:18:47 - mmengine - INFO - Epoch(train) [136][3180/3757] lr: 1.4645e-03 eta: 19:16:10 time: 0.4205 data_time: 0.0218 memory: 17006 grad_norm: 9.7016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3645 loss: 1.3645 2022/07/29 23:18:55 - mmengine - INFO - Epoch(train) [136][3200/3757] lr: 1.4645e-03 eta: 19:16:01 time: 0.4134 data_time: 0.0187 memory: 17006 grad_norm: 10.5164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3521 loss: 1.3521 2022/07/29 23:19:04 - mmengine - INFO - Epoch(train) [136][3220/3757] lr: 1.4645e-03 eta: 19:15:54 time: 0.4375 data_time: 0.0212 memory: 17006 grad_norm: 10.1813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2620 loss: 1.2620 2022/07/29 23:19:12 - mmengine - INFO - Epoch(train) [136][3240/3757] lr: 1.4645e-03 eta: 19:15:45 time: 0.4086 data_time: 0.0198 memory: 17006 grad_norm: 10.2890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4777 loss: 1.4777 2022/07/29 23:19:20 - mmengine - INFO - Epoch(train) [136][3260/3757] lr: 1.4645e-03 eta: 19:15:36 time: 0.4040 data_time: 0.0198 memory: 17006 grad_norm: 10.2012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3819 loss: 1.3819 2022/07/29 23:19:29 - mmengine - INFO - Epoch(train) [136][3280/3757] lr: 1.4645e-03 eta: 19:15:28 time: 0.4297 data_time: 0.0193 memory: 17006 grad_norm: 9.9480 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5163 loss: 1.5163 2022/07/29 23:19:37 - mmengine - INFO - Epoch(train) [136][3300/3757] lr: 1.4645e-03 eta: 19:15:20 time: 0.4157 data_time: 0.0242 memory: 17006 grad_norm: 10.5148 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5928 loss: 1.5928 2022/07/29 23:19:45 - mmengine - INFO - Epoch(train) [136][3320/3757] lr: 1.4645e-03 eta: 19:15:11 time: 0.4070 data_time: 0.0185 memory: 17006 grad_norm: 10.0244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4239 loss: 1.4239 2022/07/29 23:19:54 - mmengine - INFO - Epoch(train) [136][3340/3757] lr: 1.4645e-03 eta: 19:15:02 time: 0.4187 data_time: 0.0224 memory: 17006 grad_norm: 10.1469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2442 loss: 1.2442 2022/07/29 23:20:02 - mmengine - INFO - Epoch(train) [136][3360/3757] lr: 1.4645e-03 eta: 19:14:54 time: 0.4090 data_time: 0.0199 memory: 17006 grad_norm: 10.8154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1770 loss: 1.1770 2022/07/29 23:20:10 - mmengine - INFO - Epoch(train) [136][3380/3757] lr: 1.4645e-03 eta: 19:14:45 time: 0.4068 data_time: 0.0229 memory: 17006 grad_norm: 10.2009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3002 loss: 1.3002 2022/07/29 23:20:19 - mmengine - INFO - Epoch(train) [136][3400/3757] lr: 1.4645e-03 eta: 19:14:36 time: 0.4184 data_time: 0.0177 memory: 17006 grad_norm: 10.2924 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4770 loss: 1.4770 2022/07/29 23:20:27 - mmengine - INFO - Epoch(train) [136][3420/3757] lr: 1.4645e-03 eta: 19:14:28 time: 0.4172 data_time: 0.0207 memory: 17006 grad_norm: 10.3330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7666 loss: 1.7666 2022/07/29 23:20:36 - mmengine - INFO - Epoch(train) [136][3440/3757] lr: 1.4645e-03 eta: 19:14:20 time: 0.4342 data_time: 0.0195 memory: 17006 grad_norm: 10.0920 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6764 loss: 1.6764 2022/07/29 23:20:44 - mmengine - INFO - Epoch(train) [136][3460/3757] lr: 1.4645e-03 eta: 19:14:12 time: 0.4268 data_time: 0.0206 memory: 17006 grad_norm: 10.2192 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2818 loss: 1.2818 2022/07/29 23:20:53 - mmengine - INFO - Epoch(train) [136][3480/3757] lr: 1.4645e-03 eta: 19:14:04 time: 0.4269 data_time: 0.0212 memory: 17006 grad_norm: 10.3543 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7150 loss: 1.7150 2022/07/29 23:21:01 - mmengine - INFO - Epoch(train) [136][3500/3757] lr: 1.4645e-03 eta: 19:13:56 time: 0.4105 data_time: 0.0210 memory: 17006 grad_norm: 9.9207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/07/29 23:21:09 - mmengine - INFO - Epoch(train) [136][3520/3757] lr: 1.4645e-03 eta: 19:13:47 time: 0.4033 data_time: 0.0187 memory: 17006 grad_norm: 10.6059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3170 loss: 1.3170 2022/07/29 23:21:17 - mmengine - INFO - Epoch(train) [136][3540/3757] lr: 1.4645e-03 eta: 19:13:38 time: 0.4149 data_time: 0.0240 memory: 17006 grad_norm: 10.0800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3802 loss: 1.3802 2022/07/29 23:21:26 - mmengine - INFO - Epoch(train) [136][3560/3757] lr: 1.4645e-03 eta: 19:13:29 time: 0.4093 data_time: 0.0181 memory: 17006 grad_norm: 9.6864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/07/29 23:21:34 - mmengine - INFO - Epoch(train) [136][3580/3757] lr: 1.4645e-03 eta: 19:13:21 time: 0.4101 data_time: 0.0227 memory: 17006 grad_norm: 10.5680 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5283 loss: 1.5283 2022/07/29 23:21:42 - mmengine - INFO - Epoch(train) [136][3600/3757] lr: 1.4645e-03 eta: 19:13:12 time: 0.4042 data_time: 0.0182 memory: 17006 grad_norm: 9.8351 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3845 loss: 1.3845 2022/07/29 23:21:50 - mmengine - INFO - Epoch(train) [136][3620/3757] lr: 1.4645e-03 eta: 19:13:03 time: 0.4058 data_time: 0.0211 memory: 17006 grad_norm: 10.3065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5217 loss: 1.5217 2022/07/29 23:21:58 - mmengine - INFO - Epoch(train) [136][3640/3757] lr: 1.4645e-03 eta: 19:12:54 time: 0.4077 data_time: 0.0187 memory: 17006 grad_norm: 10.0928 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3047 loss: 1.3047 2022/07/29 23:22:07 - mmengine - INFO - Epoch(train) [136][3660/3757] lr: 1.4645e-03 eta: 19:12:46 time: 0.4181 data_time: 0.0226 memory: 17006 grad_norm: 10.2209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4356 loss: 1.4356 2022/07/29 23:22:15 - mmengine - INFO - Epoch(train) [136][3680/3757] lr: 1.4645e-03 eta: 19:12:37 time: 0.4101 data_time: 0.0192 memory: 17006 grad_norm: 10.4708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5013 loss: 1.5013 2022/07/29 23:22:23 - mmengine - INFO - Epoch(train) [136][3700/3757] lr: 1.4645e-03 eta: 19:12:28 time: 0.4076 data_time: 0.0224 memory: 17006 grad_norm: 10.0319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2099 loss: 1.2099 2022/07/29 23:22:31 - mmengine - INFO - Epoch(train) [136][3720/3757] lr: 1.4645e-03 eta: 19:12:19 time: 0.4134 data_time: 0.0187 memory: 17006 grad_norm: 9.8537 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7626 loss: 1.7626 2022/07/29 23:22:40 - mmengine - INFO - Epoch(train) [136][3740/3757] lr: 1.4645e-03 eta: 19:12:10 time: 0.4061 data_time: 0.0216 memory: 17006 grad_norm: 10.5266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5984 loss: 1.5984 2022/07/29 23:22:46 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:22:46 - mmengine - INFO - Epoch(train) [136][3757/3757] lr: 1.4645e-03 eta: 19:12:10 time: 0.4058 data_time: 0.0186 memory: 17006 grad_norm: 10.0454 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3512 loss: 1.3512 2022/07/29 23:22:47 - mmengine - INFO - Saving checkpoint at 136 epochs 2022/07/29 23:23:01 - mmengine - INFO - Epoch(train) [137][20/3757] lr: 1.4033e-03 eta: 19:11:41 time: 0.4529 data_time: 0.0662 memory: 17006 grad_norm: 10.4878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6582 loss: 1.6582 2022/07/29 23:23:09 - mmengine - INFO - Epoch(train) [137][40/3757] lr: 1.4033e-03 eta: 19:11:33 time: 0.4181 data_time: 0.0219 memory: 17006 grad_norm: 9.5643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3017 loss: 1.3017 2022/07/29 23:23:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:23:17 - mmengine - INFO - Epoch(train) [137][60/3757] lr: 1.4033e-03 eta: 19:11:24 time: 0.4140 data_time: 0.0224 memory: 17006 grad_norm: 9.9949 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4227 loss: 1.4227 2022/07/29 23:23:25 - mmengine - INFO - Epoch(train) [137][80/3757] lr: 1.4033e-03 eta: 19:11:15 time: 0.4066 data_time: 0.0220 memory: 17006 grad_norm: 10.6174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5515 loss: 1.5515 2022/07/29 23:23:34 - mmengine - INFO - Epoch(train) [137][100/3757] lr: 1.4033e-03 eta: 19:11:07 time: 0.4340 data_time: 0.0200 memory: 17006 grad_norm: 10.1433 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2551 loss: 1.2551 2022/07/29 23:23:42 - mmengine - INFO - Epoch(train) [137][120/3757] lr: 1.4033e-03 eta: 19:10:59 time: 0.4063 data_time: 0.0223 memory: 17006 grad_norm: 9.6590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2489 loss: 1.2489 2022/07/29 23:23:50 - mmengine - INFO - Epoch(train) [137][140/3757] lr: 1.4033e-03 eta: 19:10:50 time: 0.4038 data_time: 0.0188 memory: 17006 grad_norm: 10.2848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2501 loss: 1.2501 2022/07/29 23:23:59 - mmengine - INFO - Epoch(train) [137][160/3757] lr: 1.4033e-03 eta: 19:10:42 time: 0.4368 data_time: 0.0202 memory: 17006 grad_norm: 9.9550 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3074 loss: 1.3074 2022/07/29 23:24:07 - mmengine - INFO - Epoch(train) [137][180/3757] lr: 1.4033e-03 eta: 19:10:33 time: 0.4033 data_time: 0.0192 memory: 17006 grad_norm: 10.1491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6070 loss: 1.6070 2022/07/29 23:24:16 - mmengine - INFO - Epoch(train) [137][200/3757] lr: 1.4033e-03 eta: 19:10:26 time: 0.4527 data_time: 0.0225 memory: 17006 grad_norm: 10.4707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3706 loss: 1.3706 2022/07/29 23:24:24 - mmengine - INFO - Epoch(train) [137][220/3757] lr: 1.4033e-03 eta: 19:10:17 time: 0.4027 data_time: 0.0183 memory: 17006 grad_norm: 10.4092 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6181 loss: 1.6181 2022/07/29 23:24:34 - mmengine - INFO - Epoch(train) [137][240/3757] lr: 1.4033e-03 eta: 19:10:11 time: 0.4757 data_time: 0.0222 memory: 17006 grad_norm: 9.9499 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4630 loss: 1.4630 2022/07/29 23:24:42 - mmengine - INFO - Epoch(train) [137][260/3757] lr: 1.4033e-03 eta: 19:10:02 time: 0.4020 data_time: 0.0182 memory: 17006 grad_norm: 10.4066 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4515 loss: 1.4515 2022/07/29 23:24:50 - mmengine - INFO - Epoch(train) [137][280/3757] lr: 1.4033e-03 eta: 19:09:53 time: 0.4046 data_time: 0.0208 memory: 17006 grad_norm: 10.5935 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5837 loss: 1.5837 2022/07/29 23:24:58 - mmengine - INFO - Epoch(train) [137][300/3757] lr: 1.4033e-03 eta: 19:09:45 time: 0.4098 data_time: 0.0205 memory: 17006 grad_norm: 10.1230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5768 loss: 1.5768 2022/07/29 23:25:07 - mmengine - INFO - Epoch(train) [137][320/3757] lr: 1.4033e-03 eta: 19:09:37 time: 0.4302 data_time: 0.0228 memory: 17006 grad_norm: 10.3546 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2839 loss: 1.2839 2022/07/29 23:25:15 - mmengine - INFO - Epoch(train) [137][340/3757] lr: 1.4033e-03 eta: 19:09:29 time: 0.4290 data_time: 0.0215 memory: 17006 grad_norm: 10.1014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/07/29 23:25:24 - mmengine - INFO - Epoch(train) [137][360/3757] lr: 1.4033e-03 eta: 19:09:20 time: 0.4062 data_time: 0.0215 memory: 17006 grad_norm: 9.7601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2338 loss: 1.2338 2022/07/29 23:25:32 - mmengine - INFO - Epoch(train) [137][380/3757] lr: 1.4033e-03 eta: 19:09:11 time: 0.4134 data_time: 0.0214 memory: 17006 grad_norm: 10.4673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5555 loss: 1.5555 2022/07/29 23:25:40 - mmengine - INFO - Epoch(train) [137][400/3757] lr: 1.4033e-03 eta: 19:09:03 time: 0.4052 data_time: 0.0213 memory: 17006 grad_norm: 10.0758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4804 loss: 1.4804 2022/07/29 23:25:48 - mmengine - INFO - Epoch(train) [137][420/3757] lr: 1.4033e-03 eta: 19:08:54 time: 0.4033 data_time: 0.0187 memory: 17006 grad_norm: 9.8231 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4582 loss: 1.4582 2022/07/29 23:25:57 - mmengine - INFO - Epoch(train) [137][440/3757] lr: 1.4033e-03 eta: 19:08:45 time: 0.4253 data_time: 0.0212 memory: 17006 grad_norm: 10.1002 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6169 loss: 1.6169 2022/07/29 23:26:05 - mmengine - INFO - Epoch(train) [137][460/3757] lr: 1.4033e-03 eta: 19:08:37 time: 0.4064 data_time: 0.0194 memory: 17006 grad_norm: 9.9734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5948 loss: 1.5948 2022/07/29 23:26:13 - mmengine - INFO - Epoch(train) [137][480/3757] lr: 1.4033e-03 eta: 19:08:28 time: 0.4171 data_time: 0.0233 memory: 17006 grad_norm: 10.1191 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4701 loss: 1.4701 2022/07/29 23:26:21 - mmengine - INFO - Epoch(train) [137][500/3757] lr: 1.4033e-03 eta: 19:08:19 time: 0.4067 data_time: 0.0194 memory: 17006 grad_norm: 10.2324 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3338 loss: 1.3338 2022/07/29 23:26:30 - mmengine - INFO - Epoch(train) [137][520/3757] lr: 1.4033e-03 eta: 19:08:11 time: 0.4096 data_time: 0.0216 memory: 17006 grad_norm: 9.7850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4604 loss: 1.4604 2022/07/29 23:26:38 - mmengine - INFO - Epoch(train) [137][540/3757] lr: 1.4033e-03 eta: 19:08:02 time: 0.4134 data_time: 0.0198 memory: 17006 grad_norm: 10.1554 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6979 loss: 1.6979 2022/07/29 23:26:46 - mmengine - INFO - Epoch(train) [137][560/3757] lr: 1.4033e-03 eta: 19:07:53 time: 0.4065 data_time: 0.0220 memory: 17006 grad_norm: 10.3274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3561 loss: 1.3561 2022/07/29 23:26:54 - mmengine - INFO - Epoch(train) [137][580/3757] lr: 1.4033e-03 eta: 19:07:44 time: 0.4091 data_time: 0.0221 memory: 17006 grad_norm: 10.3722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3741 loss: 1.3741 2022/07/29 23:27:03 - mmengine - INFO - Epoch(train) [137][600/3757] lr: 1.4033e-03 eta: 19:07:36 time: 0.4214 data_time: 0.0213 memory: 17006 grad_norm: 9.8555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4076 loss: 1.4076 2022/07/29 23:27:11 - mmengine - INFO - Epoch(train) [137][620/3757] lr: 1.4033e-03 eta: 19:07:27 time: 0.4028 data_time: 0.0183 memory: 17006 grad_norm: 10.2471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2676 loss: 1.2676 2022/07/29 23:27:19 - mmengine - INFO - Epoch(train) [137][640/3757] lr: 1.4033e-03 eta: 19:07:18 time: 0.4091 data_time: 0.0211 memory: 17006 grad_norm: 10.1336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4973 loss: 1.4973 2022/07/29 23:27:27 - mmengine - INFO - Epoch(train) [137][660/3757] lr: 1.4033e-03 eta: 19:07:10 time: 0.4217 data_time: 0.0198 memory: 17006 grad_norm: 9.8669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3066 loss: 1.3066 2022/07/29 23:27:36 - mmengine - INFO - Epoch(train) [137][680/3757] lr: 1.4033e-03 eta: 19:07:02 time: 0.4100 data_time: 0.0238 memory: 17006 grad_norm: 10.1781 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6400 loss: 1.6400 2022/07/29 23:27:45 - mmengine - INFO - Epoch(train) [137][700/3757] lr: 1.4033e-03 eta: 19:06:54 time: 0.4438 data_time: 0.0208 memory: 17006 grad_norm: 10.2698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5485 loss: 1.5485 2022/07/29 23:27:53 - mmengine - INFO - Epoch(train) [137][720/3757] lr: 1.4033e-03 eta: 19:06:46 time: 0.4103 data_time: 0.0245 memory: 17006 grad_norm: 9.8855 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5355 loss: 1.5355 2022/07/29 23:28:01 - mmengine - INFO - Epoch(train) [137][740/3757] lr: 1.4033e-03 eta: 19:06:37 time: 0.4041 data_time: 0.0200 memory: 17006 grad_norm: 10.5926 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4099 loss: 1.4099 2022/07/29 23:28:09 - mmengine - INFO - Epoch(train) [137][760/3757] lr: 1.4033e-03 eta: 19:06:28 time: 0.4104 data_time: 0.0219 memory: 17006 grad_norm: 10.5776 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3033 loss: 1.3033 2022/07/29 23:28:17 - mmengine - INFO - Epoch(train) [137][780/3757] lr: 1.4033e-03 eta: 19:06:19 time: 0.4048 data_time: 0.0190 memory: 17006 grad_norm: 10.5987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5357 loss: 1.5357 2022/07/29 23:28:26 - mmengine - INFO - Epoch(train) [137][800/3757] lr: 1.4033e-03 eta: 19:06:11 time: 0.4155 data_time: 0.0212 memory: 17006 grad_norm: 10.3846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2538 loss: 1.2538 2022/07/29 23:28:34 - mmengine - INFO - Epoch(train) [137][820/3757] lr: 1.4033e-03 eta: 19:06:02 time: 0.4056 data_time: 0.0180 memory: 17006 grad_norm: 10.0144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1754 loss: 1.1754 2022/07/29 23:28:42 - mmengine - INFO - Epoch(train) [137][840/3757] lr: 1.4033e-03 eta: 19:05:53 time: 0.4195 data_time: 0.0212 memory: 17006 grad_norm: 10.5119 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4395 loss: 1.4395 2022/07/29 23:28:50 - mmengine - INFO - Epoch(train) [137][860/3757] lr: 1.4033e-03 eta: 19:05:44 time: 0.4044 data_time: 0.0191 memory: 17006 grad_norm: 10.6064 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4806 loss: 1.4806 2022/07/29 23:28:58 - mmengine - INFO - Epoch(train) [137][880/3757] lr: 1.4033e-03 eta: 19:05:36 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 10.1434 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6309 loss: 1.6309 2022/07/29 23:29:08 - mmengine - INFO - Epoch(train) [137][900/3757] lr: 1.4033e-03 eta: 19:05:29 time: 0.4579 data_time: 0.0200 memory: 17006 grad_norm: 10.2240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3968 loss: 1.3968 2022/07/29 23:29:16 - mmengine - INFO - Epoch(train) [137][920/3757] lr: 1.4033e-03 eta: 19:05:20 time: 0.4059 data_time: 0.0204 memory: 17006 grad_norm: 10.3427 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5278 loss: 1.5278 2022/07/29 23:29:24 - mmengine - INFO - Epoch(train) [137][940/3757] lr: 1.4033e-03 eta: 19:05:11 time: 0.4145 data_time: 0.0211 memory: 17006 grad_norm: 10.3597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4688 loss: 1.4688 2022/07/29 23:29:32 - mmengine - INFO - Epoch(train) [137][960/3757] lr: 1.4033e-03 eta: 19:05:03 time: 0.4080 data_time: 0.0209 memory: 17006 grad_norm: 10.5704 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2644 loss: 1.2644 2022/07/29 23:29:40 - mmengine - INFO - Epoch(train) [137][980/3757] lr: 1.4033e-03 eta: 19:04:54 time: 0.4037 data_time: 0.0189 memory: 17006 grad_norm: 10.6044 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6527 loss: 1.6527 2022/07/29 23:29:49 - mmengine - INFO - Epoch(train) [137][1000/3757] lr: 1.4033e-03 eta: 19:04:45 time: 0.4175 data_time: 0.0226 memory: 17006 grad_norm: 10.6316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6808 loss: 1.6808 2022/07/29 23:29:57 - mmengine - INFO - Epoch(train) [137][1020/3757] lr: 1.4033e-03 eta: 19:04:36 time: 0.4068 data_time: 0.0187 memory: 17006 grad_norm: 10.7375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4895 loss: 1.4895 2022/07/29 23:30:05 - mmengine - INFO - Epoch(train) [137][1040/3757] lr: 1.4033e-03 eta: 19:04:28 time: 0.4111 data_time: 0.0225 memory: 17006 grad_norm: 10.4163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1966 loss: 1.1966 2022/07/29 23:30:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:30:13 - mmengine - INFO - Epoch(train) [137][1060/3757] lr: 1.4033e-03 eta: 19:04:19 time: 0.4099 data_time: 0.0188 memory: 17006 grad_norm: 10.0404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1176 loss: 1.1176 2022/07/29 23:30:21 - mmengine - INFO - Epoch(train) [137][1080/3757] lr: 1.4033e-03 eta: 19:04:10 time: 0.4069 data_time: 0.0230 memory: 17006 grad_norm: 10.3674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2448 loss: 1.2448 2022/07/29 23:30:30 - mmengine - INFO - Epoch(train) [137][1100/3757] lr: 1.4033e-03 eta: 19:04:01 time: 0.4070 data_time: 0.0195 memory: 17006 grad_norm: 10.1047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3922 loss: 1.3922 2022/07/29 23:30:39 - mmengine - INFO - Epoch(train) [137][1120/3757] lr: 1.4033e-03 eta: 19:03:54 time: 0.4457 data_time: 0.0198 memory: 17006 grad_norm: 10.3458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4793 loss: 1.4793 2022/07/29 23:30:47 - mmengine - INFO - Epoch(train) [137][1140/3757] lr: 1.4033e-03 eta: 19:03:46 time: 0.4097 data_time: 0.0192 memory: 17006 grad_norm: 10.4051 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3031 loss: 1.3031 2022/07/29 23:30:55 - mmengine - INFO - Epoch(train) [137][1160/3757] lr: 1.4033e-03 eta: 19:03:37 time: 0.4099 data_time: 0.0214 memory: 17006 grad_norm: 10.6275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6776 loss: 1.6776 2022/07/29 23:31:03 - mmengine - INFO - Epoch(train) [137][1180/3757] lr: 1.4033e-03 eta: 19:03:28 time: 0.4054 data_time: 0.0186 memory: 17006 grad_norm: 9.8877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/07/29 23:31:11 - mmengine - INFO - Epoch(train) [137][1200/3757] lr: 1.4033e-03 eta: 19:03:19 time: 0.4049 data_time: 0.0200 memory: 17006 grad_norm: 10.0349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4332 loss: 1.4332 2022/07/29 23:31:20 - mmengine - INFO - Epoch(train) [137][1220/3757] lr: 1.4033e-03 eta: 19:03:12 time: 0.4434 data_time: 0.0195 memory: 17006 grad_norm: 10.0048 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5077 loss: 1.5077 2022/07/29 23:31:28 - mmengine - INFO - Epoch(train) [137][1240/3757] lr: 1.4033e-03 eta: 19:03:03 time: 0.4120 data_time: 0.0223 memory: 17006 grad_norm: 9.6301 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3113 loss: 1.3113 2022/07/29 23:31:37 - mmengine - INFO - Epoch(train) [137][1260/3757] lr: 1.4033e-03 eta: 19:02:54 time: 0.4093 data_time: 0.0198 memory: 17006 grad_norm: 10.2535 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2791 loss: 1.2791 2022/07/29 23:31:45 - mmengine - INFO - Epoch(train) [137][1280/3757] lr: 1.4033e-03 eta: 19:02:46 time: 0.4099 data_time: 0.0208 memory: 17006 grad_norm: 10.2625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5420 loss: 1.5420 2022/07/29 23:31:53 - mmengine - INFO - Epoch(train) [137][1300/3757] lr: 1.4033e-03 eta: 19:02:38 time: 0.4254 data_time: 0.0190 memory: 17006 grad_norm: 10.0500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3627 loss: 1.3627 2022/07/29 23:32:02 - mmengine - INFO - Epoch(train) [137][1320/3757] lr: 1.4033e-03 eta: 19:02:29 time: 0.4060 data_time: 0.0219 memory: 17006 grad_norm: 10.1223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4311 loss: 1.4311 2022/07/29 23:32:10 - mmengine - INFO - Epoch(train) [137][1340/3757] lr: 1.4033e-03 eta: 19:02:20 time: 0.4085 data_time: 0.0198 memory: 17006 grad_norm: 10.2711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3909 loss: 1.3909 2022/07/29 23:32:18 - mmengine - INFO - Epoch(train) [137][1360/3757] lr: 1.4033e-03 eta: 19:02:11 time: 0.4126 data_time: 0.0221 memory: 17006 grad_norm: 10.0133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5260 loss: 1.5260 2022/07/29 23:32:26 - mmengine - INFO - Epoch(train) [137][1380/3757] lr: 1.4033e-03 eta: 19:02:03 time: 0.4061 data_time: 0.0196 memory: 17006 grad_norm: 10.0490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4463 loss: 1.4463 2022/07/29 23:32:35 - mmengine - INFO - Epoch(train) [137][1400/3757] lr: 1.4033e-03 eta: 19:01:54 time: 0.4249 data_time: 0.0203 memory: 17006 grad_norm: 10.3277 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3512 loss: 1.3512 2022/07/29 23:32:43 - mmengine - INFO - Epoch(train) [137][1420/3757] lr: 1.4033e-03 eta: 19:01:46 time: 0.4041 data_time: 0.0196 memory: 17006 grad_norm: 10.4882 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5115 loss: 1.5115 2022/07/29 23:32:51 - mmengine - INFO - Epoch(train) [137][1440/3757] lr: 1.4033e-03 eta: 19:01:37 time: 0.4050 data_time: 0.0206 memory: 17006 grad_norm: 10.0651 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5581 loss: 1.5581 2022/07/29 23:32:59 - mmengine - INFO - Epoch(train) [137][1460/3757] lr: 1.4033e-03 eta: 19:01:28 time: 0.4053 data_time: 0.0199 memory: 17006 grad_norm: 10.7898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5308 loss: 1.5308 2022/07/29 23:33:07 - mmengine - INFO - Epoch(train) [137][1480/3757] lr: 1.4033e-03 eta: 19:01:19 time: 0.4091 data_time: 0.0224 memory: 17006 grad_norm: 10.7069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4375 loss: 1.4375 2022/07/29 23:33:16 - mmengine - INFO - Epoch(train) [137][1500/3757] lr: 1.4033e-03 eta: 19:01:11 time: 0.4288 data_time: 0.0205 memory: 17006 grad_norm: 10.0915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/07/29 23:33:24 - mmengine - INFO - Epoch(train) [137][1520/3757] lr: 1.4033e-03 eta: 19:01:02 time: 0.4058 data_time: 0.0215 memory: 17006 grad_norm: 10.2276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6413 loss: 1.6413 2022/07/29 23:33:32 - mmengine - INFO - Epoch(train) [137][1540/3757] lr: 1.4033e-03 eta: 19:00:53 time: 0.4050 data_time: 0.0201 memory: 17006 grad_norm: 10.0631 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5375 loss: 1.5375 2022/07/29 23:33:40 - mmengine - INFO - Epoch(train) [137][1560/3757] lr: 1.4033e-03 eta: 19:00:44 time: 0.4055 data_time: 0.0215 memory: 17006 grad_norm: 9.7506 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5038 loss: 1.5038 2022/07/29 23:33:48 - mmengine - INFO - Epoch(train) [137][1580/3757] lr: 1.4033e-03 eta: 19:00:36 time: 0.4096 data_time: 0.0199 memory: 17006 grad_norm: 10.6545 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8149 loss: 1.8149 2022/07/29 23:33:57 - mmengine - INFO - Epoch(train) [137][1600/3757] lr: 1.4033e-03 eta: 19:00:28 time: 0.4313 data_time: 0.0226 memory: 17006 grad_norm: 10.2560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/07/29 23:34:05 - mmengine - INFO - Epoch(train) [137][1620/3757] lr: 1.4033e-03 eta: 19:00:19 time: 0.4056 data_time: 0.0197 memory: 17006 grad_norm: 10.1277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6007 loss: 1.6007 2022/07/29 23:34:13 - mmengine - INFO - Epoch(train) [137][1640/3757] lr: 1.4033e-03 eta: 19:00:10 time: 0.4047 data_time: 0.0210 memory: 17006 grad_norm: 10.7581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4833 loss: 1.4833 2022/07/29 23:34:21 - mmengine - INFO - Epoch(train) [137][1660/3757] lr: 1.4033e-03 eta: 19:00:01 time: 0.4045 data_time: 0.0192 memory: 17006 grad_norm: 10.0187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4428 loss: 1.4428 2022/07/29 23:34:30 - mmengine - INFO - Epoch(train) [137][1680/3757] lr: 1.4033e-03 eta: 18:59:52 time: 0.4060 data_time: 0.0218 memory: 17006 grad_norm: 10.0212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4218 loss: 1.4218 2022/07/29 23:34:38 - mmengine - INFO - Epoch(train) [137][1700/3757] lr: 1.4033e-03 eta: 18:59:43 time: 0.4067 data_time: 0.0212 memory: 17006 grad_norm: 10.4707 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3690 loss: 1.3690 2022/07/29 23:34:46 - mmengine - INFO - Epoch(train) [137][1720/3757] lr: 1.4033e-03 eta: 18:59:35 time: 0.4155 data_time: 0.0226 memory: 17006 grad_norm: 10.0727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3396 loss: 1.3396 2022/07/29 23:34:54 - mmengine - INFO - Epoch(train) [137][1740/3757] lr: 1.4033e-03 eta: 18:59:26 time: 0.4061 data_time: 0.0209 memory: 17006 grad_norm: 10.2857 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4952 loss: 1.4952 2022/07/29 23:35:03 - mmengine - INFO - Epoch(train) [137][1760/3757] lr: 1.4033e-03 eta: 18:59:18 time: 0.4155 data_time: 0.0200 memory: 17006 grad_norm: 10.4770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2911 loss: 1.2911 2022/07/29 23:35:11 - mmengine - INFO - Epoch(train) [137][1780/3757] lr: 1.4033e-03 eta: 18:59:09 time: 0.4058 data_time: 0.0192 memory: 17006 grad_norm: 10.2224 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5772 loss: 1.5772 2022/07/29 23:35:19 - mmengine - INFO - Epoch(train) [137][1800/3757] lr: 1.4033e-03 eta: 18:59:00 time: 0.4066 data_time: 0.0213 memory: 17006 grad_norm: 10.0323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2246 loss: 1.2246 2022/07/29 23:35:27 - mmengine - INFO - Epoch(train) [137][1820/3757] lr: 1.4033e-03 eta: 18:58:51 time: 0.4079 data_time: 0.0223 memory: 17006 grad_norm: 10.1704 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8222 loss: 1.8222 2022/07/29 23:35:36 - mmengine - INFO - Epoch(train) [137][1840/3757] lr: 1.4033e-03 eta: 18:58:44 time: 0.4403 data_time: 0.0225 memory: 17006 grad_norm: 10.0959 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2180 loss: 1.2180 2022/07/29 23:35:44 - mmengine - INFO - Epoch(train) [137][1860/3757] lr: 1.4033e-03 eta: 18:58:35 time: 0.4081 data_time: 0.0190 memory: 17006 grad_norm: 9.7486 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5890 loss: 1.5890 2022/07/29 23:35:52 - mmengine - INFO - Epoch(train) [137][1880/3757] lr: 1.4033e-03 eta: 18:58:26 time: 0.4117 data_time: 0.0210 memory: 17006 grad_norm: 10.3776 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3744 loss: 1.3744 2022/07/29 23:36:01 - mmengine - INFO - Epoch(train) [137][1900/3757] lr: 1.4033e-03 eta: 18:58:18 time: 0.4131 data_time: 0.0197 memory: 17006 grad_norm: 10.5417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4971 loss: 1.4971 2022/07/29 23:36:10 - mmengine - INFO - Epoch(train) [137][1920/3757] lr: 1.4033e-03 eta: 18:58:11 time: 0.4508 data_time: 0.0197 memory: 17006 grad_norm: 10.1571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3430 loss: 1.3430 2022/07/29 23:36:18 - mmengine - INFO - Epoch(train) [137][1940/3757] lr: 1.4033e-03 eta: 18:58:03 time: 0.4229 data_time: 0.0213 memory: 17006 grad_norm: 10.1704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5247 loss: 1.5247 2022/07/29 23:36:26 - mmengine - INFO - Epoch(train) [137][1960/3757] lr: 1.4033e-03 eta: 18:57:54 time: 0.4098 data_time: 0.0216 memory: 17006 grad_norm: 11.0184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6710 loss: 1.6710 2022/07/29 23:36:35 - mmengine - INFO - Epoch(train) [137][1980/3757] lr: 1.4033e-03 eta: 18:57:46 time: 0.4200 data_time: 0.0211 memory: 17006 grad_norm: 10.3211 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0862 loss: 1.0862 2022/07/29 23:36:43 - mmengine - INFO - Epoch(train) [137][2000/3757] lr: 1.4033e-03 eta: 18:57:37 time: 0.4107 data_time: 0.0221 memory: 17006 grad_norm: 9.9658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3354 loss: 1.3354 2022/07/29 23:36:51 - mmengine - INFO - Epoch(train) [137][2020/3757] lr: 1.4033e-03 eta: 18:57:28 time: 0.4050 data_time: 0.0188 memory: 17006 grad_norm: 9.8726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3834 loss: 1.3834 2022/07/29 23:37:00 - mmengine - INFO - Epoch(train) [137][2040/3757] lr: 1.4033e-03 eta: 18:57:20 time: 0.4189 data_time: 0.0231 memory: 17006 grad_norm: 10.0818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5033 loss: 1.5033 2022/07/29 23:37:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:37:08 - mmengine - INFO - Epoch(train) [137][2060/3757] lr: 1.4033e-03 eta: 18:57:12 time: 0.4375 data_time: 0.0184 memory: 17006 grad_norm: 10.3013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3751 loss: 1.3751 2022/07/29 23:37:17 - mmengine - INFO - Epoch(train) [137][2080/3757] lr: 1.4033e-03 eta: 18:57:04 time: 0.4213 data_time: 0.0215 memory: 17006 grad_norm: 10.3011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3055 loss: 1.3055 2022/07/29 23:37:25 - mmengine - INFO - Epoch(train) [137][2100/3757] lr: 1.4033e-03 eta: 18:56:56 time: 0.4215 data_time: 0.0204 memory: 17006 grad_norm: 10.0446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2265 loss: 1.2265 2022/07/29 23:37:34 - mmengine - INFO - Epoch(train) [137][2120/3757] lr: 1.4033e-03 eta: 18:56:48 time: 0.4253 data_time: 0.0228 memory: 17006 grad_norm: 9.9171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3529 loss: 1.3529 2022/07/29 23:37:42 - mmengine - INFO - Epoch(train) [137][2140/3757] lr: 1.4033e-03 eta: 18:56:39 time: 0.4045 data_time: 0.0185 memory: 17006 grad_norm: 9.8680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6704 loss: 1.6704 2022/07/29 23:37:50 - mmengine - INFO - Epoch(train) [137][2160/3757] lr: 1.4033e-03 eta: 18:56:30 time: 0.4090 data_time: 0.0205 memory: 17006 grad_norm: 10.7144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3671 loss: 1.3671 2022/07/29 23:37:59 - mmengine - INFO - Epoch(train) [137][2180/3757] lr: 1.4033e-03 eta: 18:56:22 time: 0.4311 data_time: 0.0218 memory: 17006 grad_norm: 10.5647 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6936 loss: 1.6936 2022/07/29 23:38:08 - mmengine - INFO - Epoch(train) [137][2200/3757] lr: 1.4033e-03 eta: 18:56:15 time: 0.4392 data_time: 0.0208 memory: 17006 grad_norm: 10.1126 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4611 loss: 1.4611 2022/07/29 23:38:16 - mmengine - INFO - Epoch(train) [137][2220/3757] lr: 1.4033e-03 eta: 18:56:06 time: 0.4198 data_time: 0.0208 memory: 17006 grad_norm: 10.6858 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6672 loss: 1.6672 2022/07/29 23:38:25 - mmengine - INFO - Epoch(train) [137][2240/3757] lr: 1.4033e-03 eta: 18:55:59 time: 0.4291 data_time: 0.0203 memory: 17006 grad_norm: 10.6516 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6922 loss: 1.6922 2022/07/29 23:38:33 - mmengine - INFO - Epoch(train) [137][2260/3757] lr: 1.4033e-03 eta: 18:55:50 time: 0.4121 data_time: 0.0220 memory: 17006 grad_norm: 10.0359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2859 loss: 1.2859 2022/07/29 23:38:41 - mmengine - INFO - Epoch(train) [137][2280/3757] lr: 1.4033e-03 eta: 18:55:41 time: 0.4049 data_time: 0.0212 memory: 17006 grad_norm: 10.0908 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7020 loss: 1.7020 2022/07/29 23:38:49 - mmengine - INFO - Epoch(train) [137][2300/3757] lr: 1.4033e-03 eta: 18:55:32 time: 0.4066 data_time: 0.0198 memory: 17006 grad_norm: 10.2588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4088 loss: 1.4088 2022/07/29 23:38:57 - mmengine - INFO - Epoch(train) [137][2320/3757] lr: 1.4033e-03 eta: 18:55:23 time: 0.4080 data_time: 0.0217 memory: 17006 grad_norm: 10.2762 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5426 loss: 1.5426 2022/07/29 23:39:06 - mmengine - INFO - Epoch(train) [137][2340/3757] lr: 1.4033e-03 eta: 18:55:15 time: 0.4114 data_time: 0.0190 memory: 17006 grad_norm: 9.9032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3208 loss: 1.3208 2022/07/29 23:39:14 - mmengine - INFO - Epoch(train) [137][2360/3757] lr: 1.4033e-03 eta: 18:55:06 time: 0.4129 data_time: 0.0242 memory: 17006 grad_norm: 9.9879 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4279 loss: 1.4279 2022/07/29 23:39:22 - mmengine - INFO - Epoch(train) [137][2380/3757] lr: 1.4033e-03 eta: 18:54:57 time: 0.4049 data_time: 0.0209 memory: 17006 grad_norm: 9.8549 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3218 loss: 1.3218 2022/07/29 23:39:30 - mmengine - INFO - Epoch(train) [137][2400/3757] lr: 1.4033e-03 eta: 18:54:49 time: 0.4074 data_time: 0.0198 memory: 17006 grad_norm: 9.7450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5766 loss: 1.5766 2022/07/29 23:39:39 - mmengine - INFO - Epoch(train) [137][2420/3757] lr: 1.4033e-03 eta: 18:54:40 time: 0.4212 data_time: 0.0193 memory: 17006 grad_norm: 9.8615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3748 loss: 1.3748 2022/07/29 23:39:47 - mmengine - INFO - Epoch(train) [137][2440/3757] lr: 1.4033e-03 eta: 18:54:32 time: 0.4068 data_time: 0.0222 memory: 17006 grad_norm: 10.4356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6504 loss: 1.6504 2022/07/29 23:39:55 - mmengine - INFO - Epoch(train) [137][2460/3757] lr: 1.4033e-03 eta: 18:54:23 time: 0.4173 data_time: 0.0200 memory: 17006 grad_norm: 10.1671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4976 loss: 1.4976 2022/07/29 23:40:03 - mmengine - INFO - Epoch(train) [137][2480/3757] lr: 1.4033e-03 eta: 18:54:14 time: 0.4080 data_time: 0.0216 memory: 17006 grad_norm: 10.2660 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5589 loss: 1.5589 2022/07/29 23:40:11 - mmengine - INFO - Epoch(train) [137][2500/3757] lr: 1.4033e-03 eta: 18:54:05 time: 0.4034 data_time: 0.0191 memory: 17006 grad_norm: 10.4064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3679 loss: 1.3679 2022/07/29 23:40:20 - mmengine - INFO - Epoch(train) [137][2520/3757] lr: 1.4033e-03 eta: 18:53:58 time: 0.4352 data_time: 0.0228 memory: 17006 grad_norm: 10.0423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4477 loss: 1.4477 2022/07/29 23:40:28 - mmengine - INFO - Epoch(train) [137][2540/3757] lr: 1.4033e-03 eta: 18:53:49 time: 0.4049 data_time: 0.0192 memory: 17006 grad_norm: 9.7411 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4155 loss: 1.4155 2022/07/29 23:40:37 - mmengine - INFO - Epoch(train) [137][2560/3757] lr: 1.4033e-03 eta: 18:53:41 time: 0.4398 data_time: 0.0223 memory: 17006 grad_norm: 9.8661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5809 loss: 1.5809 2022/07/29 23:40:45 - mmengine - INFO - Epoch(train) [137][2580/3757] lr: 1.4033e-03 eta: 18:53:32 time: 0.4049 data_time: 0.0199 memory: 17006 grad_norm: 10.4585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4309 loss: 1.4309 2022/07/29 23:40:54 - mmengine - INFO - Epoch(train) [137][2600/3757] lr: 1.4033e-03 eta: 18:53:25 time: 0.4411 data_time: 0.0230 memory: 17006 grad_norm: 9.7530 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2599 loss: 1.2599 2022/07/29 23:41:02 - mmengine - INFO - Epoch(train) [137][2620/3757] lr: 1.4033e-03 eta: 18:53:16 time: 0.4046 data_time: 0.0190 memory: 17006 grad_norm: 10.2359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4789 loss: 1.4789 2022/07/29 23:41:10 - mmengine - INFO - Epoch(train) [137][2640/3757] lr: 1.4033e-03 eta: 18:53:07 time: 0.4040 data_time: 0.0201 memory: 17006 grad_norm: 10.4947 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8601 loss: 1.8601 2022/07/29 23:41:20 - mmengine - INFO - Epoch(train) [137][2660/3757] lr: 1.4033e-03 eta: 18:53:01 time: 0.4787 data_time: 0.0198 memory: 17006 grad_norm: 9.5975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6358 loss: 1.6358 2022/07/29 23:41:28 - mmengine - INFO - Epoch(train) [137][2680/3757] lr: 1.4033e-03 eta: 18:52:52 time: 0.4039 data_time: 0.0192 memory: 17006 grad_norm: 10.3474 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6299 loss: 1.6299 2022/07/29 23:41:37 - mmengine - INFO - Epoch(train) [137][2700/3757] lr: 1.4033e-03 eta: 18:52:46 time: 0.4605 data_time: 0.0212 memory: 17006 grad_norm: 10.1440 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5459 loss: 1.5459 2022/07/29 23:41:45 - mmengine - INFO - Epoch(train) [137][2720/3757] lr: 1.4033e-03 eta: 18:52:37 time: 0.4050 data_time: 0.0215 memory: 17006 grad_norm: 10.2375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5512 loss: 1.5512 2022/07/29 23:41:54 - mmengine - INFO - Epoch(train) [137][2740/3757] lr: 1.4033e-03 eta: 18:52:29 time: 0.4328 data_time: 0.0220 memory: 17006 grad_norm: 10.2745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9062 loss: 1.9062 2022/07/29 23:42:02 - mmengine - INFO - Epoch(train) [137][2760/3757] lr: 1.4033e-03 eta: 18:52:20 time: 0.4056 data_time: 0.0211 memory: 17006 grad_norm: 10.2778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3448 loss: 1.3448 2022/07/29 23:42:10 - mmengine - INFO - Epoch(train) [137][2780/3757] lr: 1.4033e-03 eta: 18:52:11 time: 0.4040 data_time: 0.0202 memory: 17006 grad_norm: 10.1929 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4034 loss: 1.4034 2022/07/29 23:42:20 - mmengine - INFO - Epoch(train) [137][2800/3757] lr: 1.4033e-03 eta: 18:52:07 time: 0.5074 data_time: 0.0409 memory: 17006 grad_norm: 10.0143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8605 loss: 1.8605 2022/07/29 23:42:29 - mmengine - INFO - Epoch(train) [137][2820/3757] lr: 1.4033e-03 eta: 18:51:58 time: 0.4047 data_time: 0.0222 memory: 17006 grad_norm: 9.9259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3740 loss: 1.3740 2022/07/29 23:42:38 - mmengine - INFO - Epoch(train) [137][2840/3757] lr: 1.4033e-03 eta: 18:51:52 time: 0.4671 data_time: 0.0203 memory: 17006 grad_norm: 9.6538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2348 loss: 1.2348 2022/07/29 23:42:46 - mmengine - INFO - Epoch(train) [137][2860/3757] lr: 1.4033e-03 eta: 18:51:43 time: 0.4064 data_time: 0.0216 memory: 17006 grad_norm: 9.8778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4122 loss: 1.4122 2022/07/29 23:42:54 - mmengine - INFO - Epoch(train) [137][2880/3757] lr: 1.4033e-03 eta: 18:51:34 time: 0.4140 data_time: 0.0203 memory: 17006 grad_norm: 10.0760 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5855 loss: 1.5855 2022/07/29 23:43:02 - mmengine - INFO - Epoch(train) [137][2900/3757] lr: 1.4033e-03 eta: 18:51:25 time: 0.4070 data_time: 0.0217 memory: 17006 grad_norm: 10.4396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5359 loss: 1.5359 2022/07/29 23:43:11 - mmengine - INFO - Epoch(train) [137][2920/3757] lr: 1.4033e-03 eta: 18:51:16 time: 0.4037 data_time: 0.0173 memory: 17006 grad_norm: 10.3370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6085 loss: 1.6085 2022/07/29 23:43:19 - mmengine - INFO - Epoch(train) [137][2940/3757] lr: 1.4033e-03 eta: 18:51:09 time: 0.4317 data_time: 0.0234 memory: 17006 grad_norm: 10.4513 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5806 loss: 1.5806 2022/07/29 23:43:27 - mmengine - INFO - Epoch(train) [137][2960/3757] lr: 1.4033e-03 eta: 18:51:00 time: 0.4031 data_time: 0.0196 memory: 17006 grad_norm: 10.7121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/07/29 23:43:36 - mmengine - INFO - Epoch(train) [137][2980/3757] lr: 1.4033e-03 eta: 18:50:51 time: 0.4157 data_time: 0.0214 memory: 17006 grad_norm: 10.1680 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3695 loss: 1.3695 2022/07/29 23:43:44 - mmengine - INFO - Epoch(train) [137][3000/3757] lr: 1.4033e-03 eta: 18:50:42 time: 0.4051 data_time: 0.0194 memory: 17006 grad_norm: 10.1559 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3805 loss: 1.3805 2022/07/29 23:43:52 - mmengine - INFO - Epoch(train) [137][3020/3757] lr: 1.4033e-03 eta: 18:50:33 time: 0.4056 data_time: 0.0213 memory: 17006 grad_norm: 10.0787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6011 loss: 1.6011 2022/07/29 23:44:01 - mmengine - INFO - Epoch(train) [137][3040/3757] lr: 1.4033e-03 eta: 18:50:26 time: 0.4524 data_time: 0.0192 memory: 17006 grad_norm: 10.3706 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2373 loss: 1.2373 2022/07/29 23:44:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:44:09 - mmengine - INFO - Epoch(train) [137][3060/3757] lr: 1.4033e-03 eta: 18:50:18 time: 0.4057 data_time: 0.0206 memory: 17006 grad_norm: 10.0810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5643 loss: 1.5643 2022/07/29 23:44:18 - mmengine - INFO - Epoch(train) [137][3080/3757] lr: 1.4033e-03 eta: 18:50:09 time: 0.4176 data_time: 0.0194 memory: 17006 grad_norm: 10.0963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3859 loss: 1.3859 2022/07/29 23:44:26 - mmengine - INFO - Epoch(train) [137][3100/3757] lr: 1.4033e-03 eta: 18:50:00 time: 0.4065 data_time: 0.0212 memory: 17006 grad_norm: 10.2919 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3814 loss: 1.3814 2022/07/29 23:44:34 - mmengine - INFO - Epoch(train) [137][3120/3757] lr: 1.4033e-03 eta: 18:49:52 time: 0.4169 data_time: 0.0200 memory: 17006 grad_norm: 10.4300 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4663 loss: 1.4663 2022/07/29 23:44:42 - mmengine - INFO - Epoch(train) [137][3140/3757] lr: 1.4033e-03 eta: 18:49:43 time: 0.4063 data_time: 0.0218 memory: 17006 grad_norm: 9.8632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6050 loss: 1.6050 2022/07/29 23:44:51 - mmengine - INFO - Epoch(train) [137][3160/3757] lr: 1.4033e-03 eta: 18:49:35 time: 0.4170 data_time: 0.0180 memory: 17006 grad_norm: 10.2225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2533 loss: 1.2533 2022/07/29 23:44:59 - mmengine - INFO - Epoch(train) [137][3180/3757] lr: 1.4033e-03 eta: 18:49:27 time: 0.4254 data_time: 0.0226 memory: 17006 grad_norm: 9.9805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4435 loss: 1.4435 2022/07/29 23:45:07 - mmengine - INFO - Epoch(train) [137][3200/3757] lr: 1.4033e-03 eta: 18:49:18 time: 0.4130 data_time: 0.0177 memory: 17006 grad_norm: 10.2778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3772 loss: 1.3772 2022/07/29 23:45:16 - mmengine - INFO - Epoch(train) [137][3220/3757] lr: 1.4033e-03 eta: 18:49:10 time: 0.4341 data_time: 0.0243 memory: 17006 grad_norm: 10.1013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4529 loss: 1.4529 2022/07/29 23:45:24 - mmengine - INFO - Epoch(train) [137][3240/3757] lr: 1.4033e-03 eta: 18:49:02 time: 0.4045 data_time: 0.0179 memory: 17006 grad_norm: 10.6703 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4153 loss: 1.4153 2022/07/29 23:45:32 - mmengine - INFO - Epoch(train) [137][3260/3757] lr: 1.4033e-03 eta: 18:48:53 time: 0.4041 data_time: 0.0205 memory: 17006 grad_norm: 10.0867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4278 loss: 1.4278 2022/07/29 23:45:41 - mmengine - INFO - Epoch(train) [137][3280/3757] lr: 1.4033e-03 eta: 18:48:44 time: 0.4170 data_time: 0.0170 memory: 17006 grad_norm: 10.6008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5826 loss: 1.5826 2022/07/29 23:45:49 - mmengine - INFO - Epoch(train) [137][3300/3757] lr: 1.4033e-03 eta: 18:48:36 time: 0.4178 data_time: 0.0214 memory: 17006 grad_norm: 10.7058 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5819 loss: 1.5819 2022/07/29 23:45:58 - mmengine - INFO - Epoch(train) [137][3320/3757] lr: 1.4033e-03 eta: 18:48:28 time: 0.4336 data_time: 0.0191 memory: 17006 grad_norm: 10.0441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4035 loss: 1.4035 2022/07/29 23:46:07 - mmengine - INFO - Epoch(train) [137][3340/3757] lr: 1.4033e-03 eta: 18:48:21 time: 0.4430 data_time: 0.0242 memory: 17006 grad_norm: 10.7204 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3729 loss: 1.3729 2022/07/29 23:46:15 - mmengine - INFO - Epoch(train) [137][3360/3757] lr: 1.4033e-03 eta: 18:48:12 time: 0.4089 data_time: 0.0171 memory: 17006 grad_norm: 9.8500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3323 loss: 1.3323 2022/07/29 23:46:23 - mmengine - INFO - Epoch(train) [137][3380/3757] lr: 1.4033e-03 eta: 18:48:03 time: 0.4099 data_time: 0.0244 memory: 17006 grad_norm: 10.0311 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6540 loss: 1.6540 2022/07/29 23:46:31 - mmengine - INFO - Epoch(train) [137][3400/3757] lr: 1.4033e-03 eta: 18:47:55 time: 0.4153 data_time: 0.0203 memory: 17006 grad_norm: 10.3522 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5783 loss: 1.5783 2022/07/29 23:46:40 - mmengine - INFO - Epoch(train) [137][3420/3757] lr: 1.4033e-03 eta: 18:47:47 time: 0.4206 data_time: 0.0221 memory: 17006 grad_norm: 9.7554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1824 loss: 1.1824 2022/07/29 23:46:48 - mmengine - INFO - Epoch(train) [137][3440/3757] lr: 1.4033e-03 eta: 18:47:38 time: 0.4040 data_time: 0.0180 memory: 17006 grad_norm: 10.4276 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6124 loss: 1.6124 2022/07/29 23:46:56 - mmengine - INFO - Epoch(train) [137][3460/3757] lr: 1.4033e-03 eta: 18:47:30 time: 0.4248 data_time: 0.0219 memory: 17006 grad_norm: 9.7476 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5093 loss: 1.5093 2022/07/29 23:47:05 - mmengine - INFO - Epoch(train) [137][3480/3757] lr: 1.4033e-03 eta: 18:47:21 time: 0.4062 data_time: 0.0202 memory: 17006 grad_norm: 9.9633 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6438 loss: 1.6438 2022/07/29 23:47:13 - mmengine - INFO - Epoch(train) [137][3500/3757] lr: 1.4033e-03 eta: 18:47:12 time: 0.4048 data_time: 0.0217 memory: 17006 grad_norm: 10.4699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5010 loss: 1.5010 2022/07/29 23:47:22 - mmengine - INFO - Epoch(train) [137][3520/3757] lr: 1.4033e-03 eta: 18:47:05 time: 0.4498 data_time: 0.0192 memory: 17006 grad_norm: 9.9796 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3534 loss: 1.3534 2022/07/29 23:47:30 - mmengine - INFO - Epoch(train) [137][3540/3757] lr: 1.4033e-03 eta: 18:46:56 time: 0.4053 data_time: 0.0220 memory: 17006 grad_norm: 10.4253 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3512 loss: 1.3512 2022/07/29 23:47:38 - mmengine - INFO - Epoch(train) [137][3560/3757] lr: 1.4033e-03 eta: 18:46:48 time: 0.4189 data_time: 0.0189 memory: 17006 grad_norm: 10.3974 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6367 loss: 1.6367 2022/07/29 23:47:46 - mmengine - INFO - Epoch(train) [137][3580/3757] lr: 1.4033e-03 eta: 18:46:39 time: 0.4054 data_time: 0.0215 memory: 17006 grad_norm: 10.5758 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5454 loss: 1.5454 2022/07/29 23:47:55 - mmengine - INFO - Epoch(train) [137][3600/3757] lr: 1.4033e-03 eta: 18:46:30 time: 0.4165 data_time: 0.0209 memory: 17006 grad_norm: 10.3202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3105 loss: 1.3105 2022/07/29 23:48:03 - mmengine - INFO - Epoch(train) [137][3620/3757] lr: 1.4033e-03 eta: 18:46:21 time: 0.4051 data_time: 0.0209 memory: 17006 grad_norm: 10.0285 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7068 loss: 1.7068 2022/07/29 23:48:11 - mmengine - INFO - Epoch(train) [137][3640/3757] lr: 1.4033e-03 eta: 18:46:13 time: 0.4055 data_time: 0.0184 memory: 17006 grad_norm: 9.6092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3275 loss: 1.3275 2022/07/29 23:48:20 - mmengine - INFO - Epoch(train) [137][3660/3757] lr: 1.4033e-03 eta: 18:46:05 time: 0.4356 data_time: 0.0239 memory: 17006 grad_norm: 10.0127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5788 loss: 1.5788 2022/07/29 23:48:28 - mmengine - INFO - Epoch(train) [137][3680/3757] lr: 1.4033e-03 eta: 18:45:56 time: 0.4042 data_time: 0.0175 memory: 17006 grad_norm: 10.6169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2968 loss: 1.2968 2022/07/29 23:48:37 - mmengine - INFO - Epoch(train) [137][3700/3757] lr: 1.4033e-03 eta: 18:45:49 time: 0.4403 data_time: 0.0206 memory: 17006 grad_norm: 10.1525 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2881 loss: 1.2881 2022/07/29 23:48:45 - mmengine - INFO - Epoch(train) [137][3720/3757] lr: 1.4033e-03 eta: 18:45:40 time: 0.4049 data_time: 0.0180 memory: 17006 grad_norm: 10.2558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5313 loss: 1.5313 2022/07/29 23:48:53 - mmengine - INFO - Epoch(train) [137][3740/3757] lr: 1.4033e-03 eta: 18:45:31 time: 0.4045 data_time: 0.0221 memory: 17006 grad_norm: 9.9709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3131 loss: 1.3131 2022/07/29 23:49:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:49:00 - mmengine - INFO - Epoch(train) [137][3757/3757] lr: 1.4033e-03 eta: 18:45:31 time: 0.4269 data_time: 0.0179 memory: 17006 grad_norm: 10.3479 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6150 loss: 1.6150 2022/07/29 23:49:00 - mmengine - INFO - Saving checkpoint at 137 epochs 2022/07/29 23:49:13 - mmengine - INFO - Epoch(train) [138][20/3757] lr: 1.3432e-03 eta: 18:45:03 time: 0.4714 data_time: 0.0877 memory: 17006 grad_norm: 10.0742 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4062 loss: 1.4062 2022/07/29 23:49:21 - mmengine - INFO - Epoch(train) [138][40/3757] lr: 1.3432e-03 eta: 18:44:54 time: 0.4114 data_time: 0.0218 memory: 17006 grad_norm: 10.0063 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4660 loss: 1.4660 2022/07/29 23:49:29 - mmengine - INFO - Epoch(train) [138][60/3757] lr: 1.3432e-03 eta: 18:44:46 time: 0.4152 data_time: 0.0219 memory: 17006 grad_norm: 10.1539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8063 loss: 1.8063 2022/07/29 23:49:38 - mmengine - INFO - Epoch(train) [138][80/3757] lr: 1.3432e-03 eta: 18:44:37 time: 0.4160 data_time: 0.0223 memory: 17006 grad_norm: 10.2568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5665 loss: 1.5665 2022/07/29 23:49:46 - mmengine - INFO - Epoch(train) [138][100/3757] lr: 1.3432e-03 eta: 18:44:29 time: 0.4240 data_time: 0.0193 memory: 17006 grad_norm: 10.6942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7209 loss: 1.7209 2022/07/29 23:49:54 - mmengine - INFO - Epoch(train) [138][120/3757] lr: 1.3432e-03 eta: 18:44:21 time: 0.4135 data_time: 0.0219 memory: 17006 grad_norm: 10.0872 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3397 loss: 1.3397 2022/07/29 23:50:03 - mmengine - INFO - Epoch(train) [138][140/3757] lr: 1.3432e-03 eta: 18:44:12 time: 0.4037 data_time: 0.0190 memory: 17006 grad_norm: 10.7040 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3581 loss: 1.3581 2022/07/29 23:50:12 - mmengine - INFO - Epoch(train) [138][160/3757] lr: 1.3432e-03 eta: 18:44:05 time: 0.4509 data_time: 0.0232 memory: 17006 grad_norm: 10.0487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5888 loss: 1.5888 2022/07/29 23:50:20 - mmengine - INFO - Epoch(train) [138][180/3757] lr: 1.3432e-03 eta: 18:43:56 time: 0.4126 data_time: 0.0196 memory: 17006 grad_norm: 10.3108 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/07/29 23:50:28 - mmengine - INFO - Epoch(train) [138][200/3757] lr: 1.3432e-03 eta: 18:43:47 time: 0.4041 data_time: 0.0197 memory: 17006 grad_norm: 9.5403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3412 loss: 1.3412 2022/07/29 23:50:36 - mmengine - INFO - Epoch(train) [138][220/3757] lr: 1.3432e-03 eta: 18:43:39 time: 0.4118 data_time: 0.0192 memory: 17006 grad_norm: 10.4858 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4539 loss: 1.4539 2022/07/29 23:50:44 - mmengine - INFO - Epoch(train) [138][240/3757] lr: 1.3432e-03 eta: 18:43:30 time: 0.4058 data_time: 0.0207 memory: 17006 grad_norm: 10.4464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5331 loss: 1.5331 2022/07/29 23:50:53 - mmengine - INFO - Epoch(train) [138][260/3757] lr: 1.3432e-03 eta: 18:43:21 time: 0.4051 data_time: 0.0206 memory: 17006 grad_norm: 9.8025 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3684 loss: 1.3684 2022/07/29 23:51:01 - mmengine - INFO - Epoch(train) [138][280/3757] lr: 1.3432e-03 eta: 18:43:13 time: 0.4235 data_time: 0.0213 memory: 17006 grad_norm: 10.3834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3325 loss: 1.3325 2022/07/29 23:51:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:51:09 - mmengine - INFO - Epoch(train) [138][300/3757] lr: 1.3432e-03 eta: 18:43:04 time: 0.4058 data_time: 0.0206 memory: 17006 grad_norm: 10.2445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4981 loss: 1.4981 2022/07/29 23:51:17 - mmengine - INFO - Epoch(train) [138][320/3757] lr: 1.3432e-03 eta: 18:42:55 time: 0.4138 data_time: 0.0212 memory: 17006 grad_norm: 9.9470 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4452 loss: 1.4452 2022/07/29 23:51:26 - mmengine - INFO - Epoch(train) [138][340/3757] lr: 1.3432e-03 eta: 18:42:47 time: 0.4078 data_time: 0.0206 memory: 17006 grad_norm: 10.2090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/07/29 23:51:34 - mmengine - INFO - Epoch(train) [138][360/3757] lr: 1.3432e-03 eta: 18:42:38 time: 0.4074 data_time: 0.0205 memory: 17006 grad_norm: 10.5449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5669 loss: 1.5669 2022/07/29 23:51:42 - mmengine - INFO - Epoch(train) [138][380/3757] lr: 1.3432e-03 eta: 18:42:29 time: 0.4108 data_time: 0.0188 memory: 17006 grad_norm: 10.6895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4727 loss: 1.4727 2022/07/29 23:51:50 - mmengine - INFO - Epoch(train) [138][400/3757] lr: 1.3432e-03 eta: 18:42:20 time: 0.4037 data_time: 0.0203 memory: 17006 grad_norm: 10.1864 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4429 loss: 1.4429 2022/07/29 23:51:58 - mmengine - INFO - Epoch(train) [138][420/3757] lr: 1.3432e-03 eta: 18:42:12 time: 0.4065 data_time: 0.0211 memory: 17006 grad_norm: 10.7957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8191 loss: 1.8191 2022/07/29 23:52:06 - mmengine - INFO - Epoch(train) [138][440/3757] lr: 1.3432e-03 eta: 18:42:03 time: 0.4071 data_time: 0.0221 memory: 17006 grad_norm: 9.7377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1909 loss: 1.1909 2022/07/29 23:52:15 - mmengine - INFO - Epoch(train) [138][460/3757] lr: 1.3432e-03 eta: 18:41:54 time: 0.4116 data_time: 0.0213 memory: 17006 grad_norm: 10.3873 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7029 loss: 1.7029 2022/07/29 23:52:23 - mmengine - INFO - Epoch(train) [138][480/3757] lr: 1.3432e-03 eta: 18:41:45 time: 0.4055 data_time: 0.0209 memory: 17006 grad_norm: 9.9287 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5932 loss: 1.5932 2022/07/29 23:52:31 - mmengine - INFO - Epoch(train) [138][500/3757] lr: 1.3432e-03 eta: 18:41:36 time: 0.4062 data_time: 0.0199 memory: 17006 grad_norm: 10.3017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3767 loss: 1.3767 2022/07/29 23:52:39 - mmengine - INFO - Epoch(train) [138][520/3757] lr: 1.3432e-03 eta: 18:41:28 time: 0.4059 data_time: 0.0217 memory: 17006 grad_norm: 10.5564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2161 loss: 1.2161 2022/07/29 23:52:48 - mmengine - INFO - Epoch(train) [138][540/3757] lr: 1.3432e-03 eta: 18:41:19 time: 0.4165 data_time: 0.0191 memory: 17006 grad_norm: 10.5356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2458 loss: 1.2458 2022/07/29 23:52:56 - mmengine - INFO - Epoch(train) [138][560/3757] lr: 1.3432e-03 eta: 18:41:11 time: 0.4191 data_time: 0.0225 memory: 17006 grad_norm: 9.8135 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6022 loss: 1.6022 2022/07/29 23:53:04 - mmengine - INFO - Epoch(train) [138][580/3757] lr: 1.3432e-03 eta: 18:41:02 time: 0.4131 data_time: 0.0176 memory: 17006 grad_norm: 10.4337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3333 loss: 1.3333 2022/07/29 23:53:12 - mmengine - INFO - Epoch(train) [138][600/3757] lr: 1.3432e-03 eta: 18:40:53 time: 0.4060 data_time: 0.0220 memory: 17006 grad_norm: 10.5523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5323 loss: 1.5323 2022/07/29 23:53:20 - mmengine - INFO - Epoch(train) [138][620/3757] lr: 1.3432e-03 eta: 18:40:45 time: 0.4057 data_time: 0.0207 memory: 17006 grad_norm: 10.1670 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5136 loss: 1.5136 2022/07/29 23:53:29 - mmengine - INFO - Epoch(train) [138][640/3757] lr: 1.3432e-03 eta: 18:40:36 time: 0.4065 data_time: 0.0209 memory: 17006 grad_norm: 10.4821 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3572 loss: 1.3572 2022/07/29 23:53:37 - mmengine - INFO - Epoch(train) [138][660/3757] lr: 1.3432e-03 eta: 18:40:27 time: 0.4069 data_time: 0.0216 memory: 17006 grad_norm: 10.3727 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2090 loss: 1.2090 2022/07/29 23:53:45 - mmengine - INFO - Epoch(train) [138][680/3757] lr: 1.3432e-03 eta: 18:40:18 time: 0.4106 data_time: 0.0222 memory: 17006 grad_norm: 9.9904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1482 loss: 1.1482 2022/07/29 23:53:53 - mmengine - INFO - Epoch(train) [138][700/3757] lr: 1.3432e-03 eta: 18:40:09 time: 0.4032 data_time: 0.0190 memory: 17006 grad_norm: 10.3223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5470 loss: 1.5470 2022/07/29 23:54:02 - mmengine - INFO - Epoch(train) [138][720/3757] lr: 1.3432e-03 eta: 18:40:01 time: 0.4255 data_time: 0.0214 memory: 17006 grad_norm: 10.2855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5305 loss: 1.5305 2022/07/29 23:54:10 - mmengine - INFO - Epoch(train) [138][740/3757] lr: 1.3432e-03 eta: 18:39:53 time: 0.4096 data_time: 0.0216 memory: 17006 grad_norm: 10.4623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9828 loss: 0.9828 2022/07/29 23:54:19 - mmengine - INFO - Epoch(train) [138][760/3757] lr: 1.3432e-03 eta: 18:39:45 time: 0.4367 data_time: 0.0232 memory: 17006 grad_norm: 10.2038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4624 loss: 1.4624 2022/07/29 23:54:27 - mmengine - INFO - Epoch(train) [138][780/3757] lr: 1.3432e-03 eta: 18:39:36 time: 0.4079 data_time: 0.0195 memory: 17006 grad_norm: 9.8293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1492 loss: 1.1492 2022/07/29 23:54:35 - mmengine - INFO - Epoch(train) [138][800/3757] lr: 1.3432e-03 eta: 18:39:28 time: 0.4190 data_time: 0.0219 memory: 17006 grad_norm: 10.8891 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5155 loss: 1.5155 2022/07/29 23:54:43 - mmengine - INFO - Epoch(train) [138][820/3757] lr: 1.3432e-03 eta: 18:39:19 time: 0.4033 data_time: 0.0187 memory: 17006 grad_norm: 9.8890 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3248 loss: 1.3248 2022/07/29 23:54:51 - mmengine - INFO - Epoch(train) [138][840/3757] lr: 1.3432e-03 eta: 18:39:10 time: 0.4069 data_time: 0.0210 memory: 17006 grad_norm: 10.1600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6923 loss: 1.6923 2022/07/29 23:55:00 - mmengine - INFO - Epoch(train) [138][860/3757] lr: 1.3432e-03 eta: 18:39:02 time: 0.4253 data_time: 0.0201 memory: 17006 grad_norm: 9.9837 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8492 loss: 1.8492 2022/07/29 23:55:08 - mmengine - INFO - Epoch(train) [138][880/3757] lr: 1.3432e-03 eta: 18:38:53 time: 0.4087 data_time: 0.0218 memory: 17006 grad_norm: 9.9769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5192 loss: 1.5192 2022/07/29 23:55:17 - mmengine - INFO - Epoch(train) [138][900/3757] lr: 1.3432e-03 eta: 18:38:46 time: 0.4433 data_time: 0.0219 memory: 17006 grad_norm: 10.2032 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3046 loss: 1.3046 2022/07/29 23:55:25 - mmengine - INFO - Epoch(train) [138][920/3757] lr: 1.3432e-03 eta: 18:38:37 time: 0.4092 data_time: 0.0220 memory: 17006 grad_norm: 9.6625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3335 loss: 1.3335 2022/07/29 23:55:33 - mmengine - INFO - Epoch(train) [138][940/3757] lr: 1.3432e-03 eta: 18:38:29 time: 0.4049 data_time: 0.0205 memory: 17006 grad_norm: 10.0133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2524 loss: 1.2524 2022/07/29 23:55:42 - mmengine - INFO - Epoch(train) [138][960/3757] lr: 1.3432e-03 eta: 18:38:20 time: 0.4211 data_time: 0.0226 memory: 17006 grad_norm: 10.1593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3714 loss: 1.3714 2022/07/29 23:55:50 - mmengine - INFO - Epoch(train) [138][980/3757] lr: 1.3432e-03 eta: 18:38:12 time: 0.4254 data_time: 0.0204 memory: 17006 grad_norm: 10.2255 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4227 loss: 1.4227 2022/07/29 23:55:59 - mmengine - INFO - Epoch(train) [138][1000/3757] lr: 1.3432e-03 eta: 18:38:04 time: 0.4110 data_time: 0.0214 memory: 17006 grad_norm: 10.4037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3543 loss: 1.3543 2022/07/29 23:56:07 - mmengine - INFO - Epoch(train) [138][1020/3757] lr: 1.3432e-03 eta: 18:37:56 time: 0.4243 data_time: 0.0215 memory: 17006 grad_norm: 10.4730 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5128 loss: 1.5128 2022/07/29 23:56:15 - mmengine - INFO - Epoch(train) [138][1040/3757] lr: 1.3432e-03 eta: 18:37:47 time: 0.4053 data_time: 0.0201 memory: 17006 grad_norm: 10.5314 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6824 loss: 1.6824 2022/07/29 23:56:23 - mmengine - INFO - Epoch(train) [138][1060/3757] lr: 1.3432e-03 eta: 18:37:38 time: 0.4044 data_time: 0.0198 memory: 17006 grad_norm: 10.4993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3286 loss: 1.3286 2022/07/29 23:56:32 - mmengine - INFO - Epoch(train) [138][1080/3757] lr: 1.3432e-03 eta: 18:37:30 time: 0.4365 data_time: 0.0241 memory: 17006 grad_norm: 10.0461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4741 loss: 1.4741 2022/07/29 23:56:40 - mmengine - INFO - Epoch(train) [138][1100/3757] lr: 1.3432e-03 eta: 18:37:21 time: 0.4072 data_time: 0.0203 memory: 17006 grad_norm: 10.4635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/07/29 23:56:49 - mmengine - INFO - Epoch(train) [138][1120/3757] lr: 1.3432e-03 eta: 18:37:13 time: 0.4212 data_time: 0.0226 memory: 17006 grad_norm: 10.1037 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3435 loss: 1.3435 2022/07/29 23:56:57 - mmengine - INFO - Epoch(train) [138][1140/3757] lr: 1.3432e-03 eta: 18:37:04 time: 0.4046 data_time: 0.0190 memory: 17006 grad_norm: 10.2757 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3660 loss: 1.3660 2022/07/29 23:57:05 - mmengine - INFO - Epoch(train) [138][1160/3757] lr: 1.3432e-03 eta: 18:36:56 time: 0.4231 data_time: 0.0220 memory: 17006 grad_norm: 9.8127 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3653 loss: 1.3653 2022/07/29 23:57:13 - mmengine - INFO - Epoch(train) [138][1180/3757] lr: 1.3432e-03 eta: 18:36:47 time: 0.4043 data_time: 0.0191 memory: 17006 grad_norm: 10.3511 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4667 loss: 1.4667 2022/07/29 23:57:22 - mmengine - INFO - Epoch(train) [138][1200/3757] lr: 1.3432e-03 eta: 18:36:39 time: 0.4104 data_time: 0.0200 memory: 17006 grad_norm: 9.7667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2337 loss: 1.2337 2022/07/29 23:57:30 - mmengine - INFO - Epoch(train) [138][1220/3757] lr: 1.3432e-03 eta: 18:36:31 time: 0.4249 data_time: 0.0222 memory: 17006 grad_norm: 10.6365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3919 loss: 1.3919 2022/07/29 23:57:39 - mmengine - INFO - Epoch(train) [138][1240/3757] lr: 1.3432e-03 eta: 18:36:23 time: 0.4395 data_time: 0.0205 memory: 17006 grad_norm: 10.2582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3317 loss: 1.3317 2022/07/29 23:57:47 - mmengine - INFO - Epoch(train) [138][1260/3757] lr: 1.3432e-03 eta: 18:36:15 time: 0.4165 data_time: 0.0219 memory: 17006 grad_norm: 10.2969 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5837 loss: 1.5837 2022/07/29 23:57:56 - mmengine - INFO - Epoch(train) [138][1280/3757] lr: 1.3432e-03 eta: 18:36:06 time: 0.4216 data_time: 0.0208 memory: 17006 grad_norm: 9.9942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4557 loss: 1.4557 2022/07/29 23:58:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/29 23:58:04 - mmengine - INFO - Epoch(train) [138][1300/3757] lr: 1.3432e-03 eta: 18:35:58 time: 0.4051 data_time: 0.0204 memory: 17006 grad_norm: 10.2850 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5027 loss: 1.5027 2022/07/29 23:58:12 - mmengine - INFO - Epoch(train) [138][1320/3757] lr: 1.3432e-03 eta: 18:35:49 time: 0.4213 data_time: 0.0222 memory: 17006 grad_norm: 10.2941 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2306 loss: 1.2306 2022/07/29 23:58:21 - mmengine - INFO - Epoch(train) [138][1340/3757] lr: 1.3432e-03 eta: 18:35:40 time: 0.4044 data_time: 0.0197 memory: 17006 grad_norm: 10.9648 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2947 loss: 1.2947 2022/07/29 23:58:30 - mmengine - INFO - Epoch(train) [138][1360/3757] lr: 1.3432e-03 eta: 18:35:34 time: 0.4575 data_time: 0.0222 memory: 17006 grad_norm: 10.3640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4243 loss: 1.4243 2022/07/29 23:58:38 - mmengine - INFO - Epoch(train) [138][1380/3757] lr: 1.3432e-03 eta: 18:35:25 time: 0.4060 data_time: 0.0204 memory: 17006 grad_norm: 10.2317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5051 loss: 1.5051 2022/07/29 23:58:47 - mmengine - INFO - Epoch(train) [138][1400/3757] lr: 1.3432e-03 eta: 18:35:18 time: 0.4473 data_time: 0.0224 memory: 17006 grad_norm: 10.0171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/07/29 23:58:55 - mmengine - INFO - Epoch(train) [138][1420/3757] lr: 1.3432e-03 eta: 18:35:09 time: 0.4056 data_time: 0.0206 memory: 17006 grad_norm: 10.1119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2192 loss: 1.2192 2022/07/29 23:59:03 - mmengine - INFO - Epoch(train) [138][1440/3757] lr: 1.3432e-03 eta: 18:35:00 time: 0.4056 data_time: 0.0207 memory: 17006 grad_norm: 10.4976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4760 loss: 1.4760 2022/07/29 23:59:12 - mmengine - INFO - Epoch(train) [138][1460/3757] lr: 1.3432e-03 eta: 18:34:52 time: 0.4344 data_time: 0.0214 memory: 17006 grad_norm: 10.5929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/07/29 23:59:20 - mmengine - INFO - Epoch(train) [138][1480/3757] lr: 1.3432e-03 eta: 18:34:43 time: 0.4057 data_time: 0.0213 memory: 17006 grad_norm: 10.4450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3771 loss: 1.3771 2022/07/29 23:59:29 - mmengine - INFO - Epoch(train) [138][1500/3757] lr: 1.3432e-03 eta: 18:34:36 time: 0.4433 data_time: 0.0231 memory: 17006 grad_norm: 10.3349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5349 loss: 1.5349 2022/07/29 23:59:37 - mmengine - INFO - Epoch(train) [138][1520/3757] lr: 1.3432e-03 eta: 18:34:27 time: 0.4050 data_time: 0.0202 memory: 17006 grad_norm: 9.9361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0619 loss: 1.0619 2022/07/29 23:59:46 - mmengine - INFO - Epoch(train) [138][1540/3757] lr: 1.3432e-03 eta: 18:34:19 time: 0.4303 data_time: 0.0212 memory: 17006 grad_norm: 10.3265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3540 loss: 1.3540 2022/07/29 23:59:54 - mmengine - INFO - Epoch(train) [138][1560/3757] lr: 1.3432e-03 eta: 18:34:11 time: 0.4062 data_time: 0.0217 memory: 17006 grad_norm: 10.4865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6616 loss: 1.6616 2022/07/30 00:00:07 - mmengine - INFO - Epoch(train) [138][1580/3757] lr: 1.3432e-03 eta: 18:34:13 time: 0.6864 data_time: 0.0535 memory: 17006 grad_norm: 10.6613 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5907 loss: 1.5907 2022/07/30 00:00:16 - mmengine - INFO - Epoch(train) [138][1600/3757] lr: 1.3432e-03 eta: 18:34:04 time: 0.4099 data_time: 0.0258 memory: 17006 grad_norm: 10.6125 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4488 loss: 1.4488 2022/07/30 00:00:24 - mmengine - INFO - Epoch(train) [138][1620/3757] lr: 1.3432e-03 eta: 18:33:55 time: 0.4023 data_time: 0.0168 memory: 17006 grad_norm: 10.2639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4433 loss: 1.4433 2022/07/30 00:00:32 - mmengine - INFO - Epoch(train) [138][1640/3757] lr: 1.3432e-03 eta: 18:33:47 time: 0.4138 data_time: 0.0209 memory: 17006 grad_norm: 10.4008 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4888 loss: 1.4888 2022/07/30 00:00:41 - mmengine - INFO - Epoch(train) [138][1660/3757] lr: 1.3432e-03 eta: 18:33:40 time: 0.4508 data_time: 0.0210 memory: 17006 grad_norm: 10.5410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4193 loss: 1.4193 2022/07/30 00:00:50 - mmengine - INFO - Epoch(train) [138][1680/3757] lr: 1.3432e-03 eta: 18:33:32 time: 0.4298 data_time: 0.0225 memory: 17006 grad_norm: 10.0150 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5320 loss: 1.5320 2022/07/30 00:00:58 - mmengine - INFO - Epoch(train) [138][1700/3757] lr: 1.3432e-03 eta: 18:33:23 time: 0.4186 data_time: 0.0193 memory: 17006 grad_norm: 9.7512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2967 loss: 1.2967 2022/07/30 00:01:06 - mmengine - INFO - Epoch(train) [138][1720/3757] lr: 1.3432e-03 eta: 18:33:15 time: 0.4063 data_time: 0.0213 memory: 17006 grad_norm: 10.1683 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8252 loss: 1.8252 2022/07/30 00:01:14 - mmengine - INFO - Epoch(train) [138][1740/3757] lr: 1.3432e-03 eta: 18:33:06 time: 0.4041 data_time: 0.0186 memory: 17006 grad_norm: 10.1746 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4144 loss: 1.4144 2022/07/30 00:01:24 - mmengine - INFO - Epoch(train) [138][1760/3757] lr: 1.3432e-03 eta: 18:32:59 time: 0.4604 data_time: 0.0215 memory: 17006 grad_norm: 11.2440 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2737 loss: 1.2737 2022/07/30 00:01:32 - mmengine - INFO - Epoch(train) [138][1780/3757] lr: 1.3432e-03 eta: 18:32:50 time: 0.4107 data_time: 0.0194 memory: 17006 grad_norm: 10.7989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2399 loss: 1.2399 2022/07/30 00:01:41 - mmengine - INFO - Epoch(train) [138][1800/3757] lr: 1.3432e-03 eta: 18:32:43 time: 0.4427 data_time: 0.0231 memory: 17006 grad_norm: 10.2870 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3587 loss: 1.3587 2022/07/30 00:01:49 - mmengine - INFO - Epoch(train) [138][1820/3757] lr: 1.3432e-03 eta: 18:32:34 time: 0.4045 data_time: 0.0196 memory: 17006 grad_norm: 10.5560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2848 loss: 1.2848 2022/07/30 00:01:57 - mmengine - INFO - Epoch(train) [138][1840/3757] lr: 1.3432e-03 eta: 18:32:26 time: 0.4188 data_time: 0.0218 memory: 17006 grad_norm: 10.2827 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5327 loss: 1.5327 2022/07/30 00:02:05 - mmengine - INFO - Epoch(train) [138][1860/3757] lr: 1.3432e-03 eta: 18:32:17 time: 0.4097 data_time: 0.0191 memory: 17006 grad_norm: 10.7583 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5544 loss: 1.5544 2022/07/30 00:02:14 - mmengine - INFO - Epoch(train) [138][1880/3757] lr: 1.3432e-03 eta: 18:32:08 time: 0.4051 data_time: 0.0203 memory: 17006 grad_norm: 10.9004 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4105 loss: 1.4105 2022/07/30 00:02:23 - mmengine - INFO - Epoch(train) [138][1900/3757] lr: 1.3432e-03 eta: 18:32:01 time: 0.4445 data_time: 0.0179 memory: 17006 grad_norm: 10.2832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4880 loss: 1.4880 2022/07/30 00:02:31 - mmengine - INFO - Epoch(train) [138][1920/3757] lr: 1.3432e-03 eta: 18:31:52 time: 0.4102 data_time: 0.0223 memory: 17006 grad_norm: 10.3550 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3963 loss: 1.3963 2022/07/30 00:02:39 - mmengine - INFO - Epoch(train) [138][1940/3757] lr: 1.3432e-03 eta: 18:31:44 time: 0.4163 data_time: 0.0189 memory: 17006 grad_norm: 10.8047 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4390 loss: 1.4390 2022/07/30 00:02:47 - mmengine - INFO - Epoch(train) [138][1960/3757] lr: 1.3432e-03 eta: 18:31:35 time: 0.4099 data_time: 0.0214 memory: 17006 grad_norm: 10.3656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5383 loss: 1.5383 2022/07/30 00:02:56 - mmengine - INFO - Epoch(train) [138][1980/3757] lr: 1.3432e-03 eta: 18:31:27 time: 0.4193 data_time: 0.0192 memory: 17006 grad_norm: 10.6416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4434 loss: 1.4434 2022/07/30 00:03:04 - mmengine - INFO - Epoch(train) [138][2000/3757] lr: 1.3432e-03 eta: 18:31:18 time: 0.4036 data_time: 0.0200 memory: 17006 grad_norm: 10.6839 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5598 loss: 1.5598 2022/07/30 00:03:12 - mmengine - INFO - Epoch(train) [138][2020/3757] lr: 1.3432e-03 eta: 18:31:09 time: 0.4084 data_time: 0.0182 memory: 17006 grad_norm: 10.6098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5446 loss: 1.5446 2022/07/30 00:03:20 - mmengine - INFO - Epoch(train) [138][2040/3757] lr: 1.3432e-03 eta: 18:31:00 time: 0.4091 data_time: 0.0231 memory: 17006 grad_norm: 10.2054 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2338 loss: 1.2338 2022/07/30 00:03:28 - mmengine - INFO - Epoch(train) [138][2060/3757] lr: 1.3432e-03 eta: 18:30:52 time: 0.4111 data_time: 0.0176 memory: 17006 grad_norm: 10.4131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1553 loss: 1.1553 2022/07/30 00:03:37 - mmengine - INFO - Epoch(train) [138][2080/3757] lr: 1.3432e-03 eta: 18:30:43 time: 0.4125 data_time: 0.0229 memory: 17006 grad_norm: 10.2307 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3500 loss: 1.3500 2022/07/30 00:03:45 - mmengine - INFO - Epoch(train) [138][2100/3757] lr: 1.3432e-03 eta: 18:30:34 time: 0.4034 data_time: 0.0183 memory: 17006 grad_norm: 10.1954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6891 loss: 1.6891 2022/07/30 00:03:53 - mmengine - INFO - Epoch(train) [138][2120/3757] lr: 1.3432e-03 eta: 18:30:26 time: 0.4064 data_time: 0.0229 memory: 17006 grad_norm: 10.8808 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4694 loss: 1.4694 2022/07/30 00:04:01 - mmengine - INFO - Epoch(train) [138][2140/3757] lr: 1.3432e-03 eta: 18:30:17 time: 0.4142 data_time: 0.0200 memory: 17006 grad_norm: 10.3425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4300 loss: 1.4300 2022/07/30 00:04:09 - mmengine - INFO - Epoch(train) [138][2160/3757] lr: 1.3432e-03 eta: 18:30:08 time: 0.4051 data_time: 0.0217 memory: 17006 grad_norm: 9.7743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6146 loss: 1.6146 2022/07/30 00:04:19 - mmengine - INFO - Epoch(train) [138][2180/3757] lr: 1.3432e-03 eta: 18:30:02 time: 0.4604 data_time: 0.0228 memory: 17006 grad_norm: 9.7117 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4224 loss: 1.4224 2022/07/30 00:04:27 - mmengine - INFO - Epoch(train) [138][2200/3757] lr: 1.3432e-03 eta: 18:29:53 time: 0.4061 data_time: 0.0204 memory: 17006 grad_norm: 10.4848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4415 loss: 1.4415 2022/07/30 00:04:35 - mmengine - INFO - Epoch(train) [138][2220/3757] lr: 1.3432e-03 eta: 18:29:44 time: 0.4022 data_time: 0.0175 memory: 17006 grad_norm: 10.1193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3026 loss: 1.3026 2022/07/30 00:04:43 - mmengine - INFO - Epoch(train) [138][2240/3757] lr: 1.3432e-03 eta: 18:29:35 time: 0.4128 data_time: 0.0206 memory: 17006 grad_norm: 10.4693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2154 loss: 1.2154 2022/07/30 00:04:52 - mmengine - INFO - Epoch(train) [138][2260/3757] lr: 1.3432e-03 eta: 18:29:27 time: 0.4334 data_time: 0.0176 memory: 17006 grad_norm: 10.5285 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3363 loss: 1.3363 2022/07/30 00:05:00 - mmengine - INFO - Epoch(train) [138][2280/3757] lr: 1.3432e-03 eta: 18:29:19 time: 0.4233 data_time: 0.0231 memory: 17006 grad_norm: 10.4045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1708 loss: 1.1708 2022/07/30 00:05:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:05:09 - mmengine - INFO - Epoch(train) [138][2300/3757] lr: 1.3432e-03 eta: 18:29:11 time: 0.4123 data_time: 0.0180 memory: 17006 grad_norm: 10.2758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1404 loss: 1.1404 2022/07/30 00:05:17 - mmengine - INFO - Epoch(train) [138][2320/3757] lr: 1.3432e-03 eta: 18:29:03 time: 0.4363 data_time: 0.0249 memory: 17006 grad_norm: 10.5385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3814 loss: 1.3814 2022/07/30 00:05:26 - mmengine - INFO - Epoch(train) [138][2340/3757] lr: 1.3432e-03 eta: 18:28:55 time: 0.4255 data_time: 0.0176 memory: 17006 grad_norm: 10.6293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3517 loss: 1.3517 2022/07/30 00:05:34 - mmengine - INFO - Epoch(train) [138][2360/3757] lr: 1.3432e-03 eta: 18:28:46 time: 0.4048 data_time: 0.0215 memory: 17006 grad_norm: 10.5332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4189 loss: 1.4189 2022/07/30 00:05:43 - mmengine - INFO - Epoch(train) [138][2380/3757] lr: 1.3432e-03 eta: 18:28:39 time: 0.4437 data_time: 0.0199 memory: 17006 grad_norm: 10.8070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1969 loss: 1.1969 2022/07/30 00:05:51 - mmengine - INFO - Epoch(train) [138][2400/3757] lr: 1.3432e-03 eta: 18:28:30 time: 0.4185 data_time: 0.0222 memory: 17006 grad_norm: 10.3822 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3804 loss: 1.3804 2022/07/30 00:06:00 - mmengine - INFO - Epoch(train) [138][2420/3757] lr: 1.3432e-03 eta: 18:28:22 time: 0.4275 data_time: 0.0211 memory: 17006 grad_norm: 10.1324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2056 loss: 1.2056 2022/07/30 00:06:08 - mmengine - INFO - Epoch(train) [138][2440/3757] lr: 1.3432e-03 eta: 18:28:14 time: 0.4108 data_time: 0.0215 memory: 17006 grad_norm: 10.0975 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4747 loss: 1.4747 2022/07/30 00:06:16 - mmengine - INFO - Epoch(train) [138][2460/3757] lr: 1.3432e-03 eta: 18:28:05 time: 0.4162 data_time: 0.0197 memory: 17006 grad_norm: 10.1385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3041 loss: 1.3041 2022/07/30 00:06:25 - mmengine - INFO - Epoch(train) [138][2480/3757] lr: 1.3432e-03 eta: 18:27:57 time: 0.4059 data_time: 0.0205 memory: 17006 grad_norm: 10.4848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5093 loss: 1.5093 2022/07/30 00:06:33 - mmengine - INFO - Epoch(train) [138][2500/3757] lr: 1.3432e-03 eta: 18:27:49 time: 0.4308 data_time: 0.0174 memory: 17006 grad_norm: 9.9744 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2532 loss: 1.2532 2022/07/30 00:06:42 - mmengine - INFO - Epoch(train) [138][2520/3757] lr: 1.3432e-03 eta: 18:27:40 time: 0.4202 data_time: 0.0229 memory: 17006 grad_norm: 10.5350 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5868 loss: 1.5868 2022/07/30 00:06:50 - mmengine - INFO - Epoch(train) [138][2540/3757] lr: 1.3432e-03 eta: 18:27:32 time: 0.4039 data_time: 0.0169 memory: 17006 grad_norm: 10.9852 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6769 loss: 1.6769 2022/07/30 00:06:59 - mmengine - INFO - Epoch(train) [138][2560/3757] lr: 1.3432e-03 eta: 18:27:25 time: 0.4669 data_time: 0.0236 memory: 17006 grad_norm: 10.4011 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4945 loss: 1.4945 2022/07/30 00:07:07 - mmengine - INFO - Epoch(train) [138][2580/3757] lr: 1.3432e-03 eta: 18:27:16 time: 0.4060 data_time: 0.0191 memory: 17006 grad_norm: 10.3095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2979 loss: 1.2979 2022/07/30 00:07:16 - mmengine - INFO - Epoch(train) [138][2600/3757] lr: 1.3432e-03 eta: 18:27:08 time: 0.4303 data_time: 0.0211 memory: 17006 grad_norm: 9.8969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1120 loss: 1.1120 2022/07/30 00:07:24 - mmengine - INFO - Epoch(train) [138][2620/3757] lr: 1.3432e-03 eta: 18:27:00 time: 0.4068 data_time: 0.0197 memory: 17006 grad_norm: 9.7890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4686 loss: 1.4686 2022/07/30 00:07:32 - mmengine - INFO - Epoch(train) [138][2640/3757] lr: 1.3432e-03 eta: 18:26:51 time: 0.4052 data_time: 0.0203 memory: 17006 grad_norm: 10.1191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1302 loss: 1.1302 2022/07/30 00:07:41 - mmengine - INFO - Epoch(train) [138][2660/3757] lr: 1.3432e-03 eta: 18:26:43 time: 0.4261 data_time: 0.0223 memory: 17006 grad_norm: 10.3982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5053 loss: 1.5053 2022/07/30 00:07:49 - mmengine - INFO - Epoch(train) [138][2680/3757] lr: 1.3432e-03 eta: 18:26:34 time: 0.4069 data_time: 0.0220 memory: 17006 grad_norm: 10.2200 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4376 loss: 1.4376 2022/07/30 00:07:58 - mmengine - INFO - Epoch(train) [138][2700/3757] lr: 1.3432e-03 eta: 18:26:27 time: 0.4557 data_time: 0.0224 memory: 17006 grad_norm: 10.0034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3744 loss: 1.3744 2022/07/30 00:08:06 - mmengine - INFO - Epoch(train) [138][2720/3757] lr: 1.3432e-03 eta: 18:26:18 time: 0.4060 data_time: 0.0208 memory: 17006 grad_norm: 10.3463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5584 loss: 1.5584 2022/07/30 00:08:14 - mmengine - INFO - Epoch(train) [138][2740/3757] lr: 1.3432e-03 eta: 18:26:09 time: 0.4044 data_time: 0.0183 memory: 17006 grad_norm: 10.3105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2458 loss: 1.2458 2022/07/30 00:08:23 - mmengine - INFO - Epoch(train) [138][2760/3757] lr: 1.3432e-03 eta: 18:26:01 time: 0.4158 data_time: 0.0222 memory: 17006 grad_norm: 10.6518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8647 loss: 1.8647 2022/07/30 00:08:31 - mmengine - INFO - Epoch(train) [138][2780/3757] lr: 1.3432e-03 eta: 18:25:52 time: 0.4028 data_time: 0.0178 memory: 17006 grad_norm: 10.5539 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5178 loss: 1.5178 2022/07/30 00:08:40 - mmengine - INFO - Epoch(train) [138][2800/3757] lr: 1.3432e-03 eta: 18:25:44 time: 0.4413 data_time: 0.0240 memory: 17006 grad_norm: 10.0234 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4661 loss: 1.4661 2022/07/30 00:08:48 - mmengine - INFO - Epoch(train) [138][2820/3757] lr: 1.3432e-03 eta: 18:25:36 time: 0.4054 data_time: 0.0204 memory: 17006 grad_norm: 10.3389 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3506 loss: 1.3506 2022/07/30 00:08:57 - mmengine - INFO - Epoch(train) [138][2840/3757] lr: 1.3432e-03 eta: 18:25:28 time: 0.4459 data_time: 0.0242 memory: 17006 grad_norm: 10.4982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/07/30 00:09:05 - mmengine - INFO - Epoch(train) [138][2860/3757] lr: 1.3432e-03 eta: 18:25:19 time: 0.4038 data_time: 0.0175 memory: 17006 grad_norm: 10.3695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1223 loss: 1.1223 2022/07/30 00:09:13 - mmengine - INFO - Epoch(train) [138][2880/3757] lr: 1.3432e-03 eta: 18:25:11 time: 0.4061 data_time: 0.0204 memory: 17006 grad_norm: 10.2924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4454 loss: 1.4454 2022/07/30 00:09:21 - mmengine - INFO - Epoch(train) [138][2900/3757] lr: 1.3432e-03 eta: 18:25:03 time: 0.4238 data_time: 0.0203 memory: 17006 grad_norm: 10.1699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3603 loss: 1.3603 2022/07/30 00:09:30 - mmengine - INFO - Epoch(train) [138][2920/3757] lr: 1.3432e-03 eta: 18:24:54 time: 0.4085 data_time: 0.0213 memory: 17006 grad_norm: 10.3256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2984 loss: 1.2984 2022/07/30 00:09:38 - mmengine - INFO - Epoch(train) [138][2940/3757] lr: 1.3432e-03 eta: 18:24:45 time: 0.4058 data_time: 0.0190 memory: 17006 grad_norm: 10.2852 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4475 loss: 1.4475 2022/07/30 00:09:46 - mmengine - INFO - Epoch(train) [138][2960/3757] lr: 1.3432e-03 eta: 18:24:37 time: 0.4341 data_time: 0.0233 memory: 17006 grad_norm: 9.9239 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3865 loss: 1.3865 2022/07/30 00:09:55 - mmengine - INFO - Epoch(train) [138][2980/3757] lr: 1.3432e-03 eta: 18:24:28 time: 0.4029 data_time: 0.0187 memory: 17006 grad_norm: 10.2431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4441 loss: 1.4441 2022/07/30 00:10:03 - mmengine - INFO - Epoch(train) [138][3000/3757] lr: 1.3432e-03 eta: 18:24:19 time: 0.4049 data_time: 0.0216 memory: 17006 grad_norm: 9.9922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4418 loss: 1.4418 2022/07/30 00:10:11 - mmengine - INFO - Epoch(train) [138][3020/3757] lr: 1.3432e-03 eta: 18:24:12 time: 0.4378 data_time: 0.0191 memory: 17006 grad_norm: 10.6198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4958 loss: 1.4958 2022/07/30 00:10:20 - mmengine - INFO - Epoch(train) [138][3040/3757] lr: 1.3432e-03 eta: 18:24:03 time: 0.4058 data_time: 0.0214 memory: 17006 grad_norm: 10.2429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1963 loss: 1.1963 2022/07/30 00:10:28 - mmengine - INFO - Epoch(train) [138][3060/3757] lr: 1.3432e-03 eta: 18:23:55 time: 0.4320 data_time: 0.0199 memory: 17006 grad_norm: 10.4776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4182 loss: 1.4182 2022/07/30 00:10:36 - mmengine - INFO - Epoch(train) [138][3080/3757] lr: 1.3432e-03 eta: 18:23:46 time: 0.4072 data_time: 0.0229 memory: 17006 grad_norm: 9.9028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5085 loss: 1.5085 2022/07/30 00:10:45 - mmengine - INFO - Epoch(train) [138][3100/3757] lr: 1.3432e-03 eta: 18:23:38 time: 0.4036 data_time: 0.0179 memory: 17006 grad_norm: 10.4143 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2605 loss: 1.2605 2022/07/30 00:10:53 - mmengine - INFO - Epoch(train) [138][3120/3757] lr: 1.3432e-03 eta: 18:23:30 time: 0.4292 data_time: 0.0236 memory: 17006 grad_norm: 9.9523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5634 loss: 1.5634 2022/07/30 00:11:01 - mmengine - INFO - Epoch(train) [138][3140/3757] lr: 1.3432e-03 eta: 18:23:21 time: 0.4021 data_time: 0.0179 memory: 17006 grad_norm: 10.9376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2524 loss: 1.2524 2022/07/30 00:11:10 - mmengine - INFO - Epoch(train) [138][3160/3757] lr: 1.3432e-03 eta: 18:23:13 time: 0.4326 data_time: 0.0223 memory: 17006 grad_norm: 10.3604 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5057 loss: 1.5057 2022/07/30 00:11:18 - mmengine - INFO - Epoch(train) [138][3180/3757] lr: 1.3432e-03 eta: 18:23:04 time: 0.4043 data_time: 0.0191 memory: 17006 grad_norm: 10.4395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4216 loss: 1.4216 2022/07/30 00:11:26 - mmengine - INFO - Epoch(train) [138][3200/3757] lr: 1.3432e-03 eta: 18:22:56 time: 0.4233 data_time: 0.0225 memory: 17006 grad_norm: 10.1599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2529 loss: 1.2529 2022/07/30 00:11:35 - mmengine - INFO - Epoch(train) [138][3220/3757] lr: 1.3432e-03 eta: 18:22:47 time: 0.4042 data_time: 0.0185 memory: 17006 grad_norm: 10.6362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3959 loss: 1.3959 2022/07/30 00:11:43 - mmengine - INFO - Epoch(train) [138][3240/3757] lr: 1.3432e-03 eta: 18:22:38 time: 0.4054 data_time: 0.0210 memory: 17006 grad_norm: 10.1781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3089 loss: 1.3089 2022/07/30 00:11:52 - mmengine - INFO - Epoch(train) [138][3260/3757] lr: 1.3432e-03 eta: 18:22:31 time: 0.4408 data_time: 0.0275 memory: 17006 grad_norm: 10.4820 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4688 loss: 1.4688 2022/07/30 00:12:00 - mmengine - INFO - Epoch(train) [138][3280/3757] lr: 1.3432e-03 eta: 18:22:22 time: 0.4056 data_time: 0.0221 memory: 17006 grad_norm: 10.4994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4775 loss: 1.4775 2022/07/30 00:12:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:12:08 - mmengine - INFO - Epoch(train) [138][3300/3757] lr: 1.3432e-03 eta: 18:22:14 time: 0.4280 data_time: 0.0199 memory: 17006 grad_norm: 10.0020 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3810 loss: 1.3810 2022/07/30 00:12:16 - mmengine - INFO - Epoch(train) [138][3320/3757] lr: 1.3432e-03 eta: 18:22:05 time: 0.4080 data_time: 0.0221 memory: 17006 grad_norm: 10.2964 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2062 loss: 1.2062 2022/07/30 00:12:25 - mmengine - INFO - Epoch(train) [138][3340/3757] lr: 1.3432e-03 eta: 18:21:56 time: 0.4048 data_time: 0.0182 memory: 17006 grad_norm: 10.5762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4042 loss: 1.4042 2022/07/30 00:12:33 - mmengine - INFO - Epoch(train) [138][3360/3757] lr: 1.3432e-03 eta: 18:21:48 time: 0.4207 data_time: 0.0224 memory: 17006 grad_norm: 10.0830 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7353 loss: 1.7353 2022/07/30 00:12:41 - mmengine - INFO - Epoch(train) [138][3380/3757] lr: 1.3432e-03 eta: 18:21:39 time: 0.4065 data_time: 0.0195 memory: 17006 grad_norm: 10.5253 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4108 loss: 1.4108 2022/07/30 00:12:50 - mmengine - INFO - Epoch(train) [138][3400/3757] lr: 1.3432e-03 eta: 18:21:32 time: 0.4616 data_time: 0.0228 memory: 17006 grad_norm: 10.7288 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2625 loss: 1.2625 2022/07/30 00:12:59 - mmengine - INFO - Epoch(train) [138][3420/3757] lr: 1.3432e-03 eta: 18:21:24 time: 0.4062 data_time: 0.0199 memory: 17006 grad_norm: 10.7174 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3032 loss: 1.3032 2022/07/30 00:13:07 - mmengine - INFO - Epoch(train) [138][3440/3757] lr: 1.3432e-03 eta: 18:21:16 time: 0.4444 data_time: 0.0219 memory: 17006 grad_norm: 10.5294 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3581 loss: 1.3581 2022/07/30 00:13:16 - mmengine - INFO - Epoch(train) [138][3460/3757] lr: 1.3432e-03 eta: 18:21:07 time: 0.4028 data_time: 0.0198 memory: 17006 grad_norm: 10.6417 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5968 loss: 1.5968 2022/07/30 00:13:24 - mmengine - INFO - Epoch(train) [138][3480/3757] lr: 1.3432e-03 eta: 18:20:59 time: 0.4070 data_time: 0.0215 memory: 17006 grad_norm: 10.8045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4719 loss: 1.4719 2022/07/30 00:13:33 - mmengine - INFO - Epoch(train) [138][3500/3757] lr: 1.3432e-03 eta: 18:20:51 time: 0.4386 data_time: 0.0186 memory: 17006 grad_norm: 10.2396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2793 loss: 1.2793 2022/07/30 00:13:41 - mmengine - INFO - Epoch(train) [138][3520/3757] lr: 1.3432e-03 eta: 18:20:42 time: 0.4087 data_time: 0.0227 memory: 17006 grad_norm: 10.3386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/07/30 00:13:50 - mmengine - INFO - Epoch(train) [138][3540/3757] lr: 1.3432e-03 eta: 18:20:35 time: 0.4450 data_time: 0.0198 memory: 17006 grad_norm: 10.6722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2947 loss: 1.2947 2022/07/30 00:13:58 - mmengine - INFO - Epoch(train) [138][3560/3757] lr: 1.3432e-03 eta: 18:20:26 time: 0.4065 data_time: 0.0225 memory: 17006 grad_norm: 10.4417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5631 loss: 1.5631 2022/07/30 00:14:06 - mmengine - INFO - Epoch(train) [138][3580/3757] lr: 1.3432e-03 eta: 18:20:18 time: 0.4096 data_time: 0.0195 memory: 17006 grad_norm: 10.8506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7410 loss: 1.7410 2022/07/30 00:14:14 - mmengine - INFO - Epoch(train) [138][3600/3757] lr: 1.3432e-03 eta: 18:20:09 time: 0.4185 data_time: 0.0207 memory: 17006 grad_norm: 10.6102 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2659 loss: 1.2659 2022/07/30 00:14:23 - mmengine - INFO - Epoch(train) [138][3620/3757] lr: 1.3432e-03 eta: 18:20:00 time: 0.4037 data_time: 0.0177 memory: 17006 grad_norm: 10.1092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2697 loss: 1.2697 2022/07/30 00:14:31 - mmengine - INFO - Epoch(train) [138][3640/3757] lr: 1.3432e-03 eta: 18:19:53 time: 0.4413 data_time: 0.0346 memory: 17006 grad_norm: 10.3825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3126 loss: 1.3126 2022/07/30 00:14:40 - mmengine - INFO - Epoch(train) [138][3660/3757] lr: 1.3432e-03 eta: 18:19:44 time: 0.4037 data_time: 0.0180 memory: 17006 grad_norm: 9.9125 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5253 loss: 1.5253 2022/07/30 00:14:48 - mmengine - INFO - Epoch(train) [138][3680/3757] lr: 1.3432e-03 eta: 18:19:36 time: 0.4378 data_time: 0.0250 memory: 17006 grad_norm: 10.3008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5035 loss: 1.5035 2022/07/30 00:14:56 - mmengine - INFO - Epoch(train) [138][3700/3757] lr: 1.3432e-03 eta: 18:19:27 time: 0.4036 data_time: 0.0183 memory: 17006 grad_norm: 10.1866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4164 loss: 1.4164 2022/07/30 00:15:05 - mmengine - INFO - Epoch(train) [138][3720/3757] lr: 1.3432e-03 eta: 18:19:19 time: 0.4076 data_time: 0.0222 memory: 17006 grad_norm: 9.9503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2262 loss: 1.2262 2022/07/30 00:15:13 - mmengine - INFO - Epoch(train) [138][3740/3757] lr: 1.3432e-03 eta: 18:19:11 time: 0.4243 data_time: 0.0181 memory: 17006 grad_norm: 10.2949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6237 loss: 1.6237 2022/07/30 00:15:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:15:20 - mmengine - INFO - Epoch(train) [138][3757/3757] lr: 1.3432e-03 eta: 18:19:11 time: 0.3946 data_time: 0.0203 memory: 17006 grad_norm: 10.7361 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1122 loss: 1.1122 2022/07/30 00:15:20 - mmengine - INFO - Saving checkpoint at 138 epochs 2022/07/30 00:15:32 - mmengine - INFO - Epoch(train) [139][20/3757] lr: 1.2843e-03 eta: 18:18:43 time: 0.4555 data_time: 0.0691 memory: 17006 grad_norm: 10.2064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3733 loss: 1.3733 2022/07/30 00:15:41 - mmengine - INFO - Epoch(train) [139][40/3757] lr: 1.2843e-03 eta: 18:18:35 time: 0.4378 data_time: 0.0244 memory: 17006 grad_norm: 10.0199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4739 loss: 1.4739 2022/07/30 00:15:49 - mmengine - INFO - Epoch(train) [139][60/3757] lr: 1.2843e-03 eta: 18:18:27 time: 0.4062 data_time: 0.0203 memory: 17006 grad_norm: 9.5321 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3540 loss: 1.3540 2022/07/30 00:15:58 - mmengine - INFO - Epoch(train) [139][80/3757] lr: 1.2843e-03 eta: 18:18:20 time: 0.4581 data_time: 0.0239 memory: 17006 grad_norm: 10.1518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5773 loss: 1.5773 2022/07/30 00:16:06 - mmengine - INFO - Epoch(train) [139][100/3757] lr: 1.2843e-03 eta: 18:18:11 time: 0.4054 data_time: 0.0198 memory: 17006 grad_norm: 10.1787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5316 loss: 1.5316 2022/07/30 00:16:14 - mmengine - INFO - Epoch(train) [139][120/3757] lr: 1.2843e-03 eta: 18:18:02 time: 0.4046 data_time: 0.0216 memory: 17006 grad_norm: 10.2854 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4554 loss: 1.4554 2022/07/30 00:16:23 - mmengine - INFO - Epoch(train) [139][140/3757] lr: 1.2843e-03 eta: 18:17:54 time: 0.4214 data_time: 0.0208 memory: 17006 grad_norm: 10.4497 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4794 loss: 1.4794 2022/07/30 00:16:31 - mmengine - INFO - Epoch(train) [139][160/3757] lr: 1.2843e-03 eta: 18:17:45 time: 0.4105 data_time: 0.0202 memory: 17006 grad_norm: 10.3453 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4441 loss: 1.4441 2022/07/30 00:16:39 - mmengine - INFO - Epoch(train) [139][180/3757] lr: 1.2843e-03 eta: 18:17:37 time: 0.4163 data_time: 0.0227 memory: 17006 grad_norm: 10.3103 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2707 loss: 1.2707 2022/07/30 00:16:47 - mmengine - INFO - Epoch(train) [139][200/3757] lr: 1.2843e-03 eta: 18:17:28 time: 0.4053 data_time: 0.0208 memory: 17006 grad_norm: 10.1943 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2655 loss: 1.2655 2022/07/30 00:16:56 - mmengine - INFO - Epoch(train) [139][220/3757] lr: 1.2843e-03 eta: 18:17:19 time: 0.4039 data_time: 0.0202 memory: 17006 grad_norm: 10.5701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3963 loss: 1.3963 2022/07/30 00:17:04 - mmengine - INFO - Epoch(train) [139][240/3757] lr: 1.2843e-03 eta: 18:17:11 time: 0.4154 data_time: 0.0203 memory: 17006 grad_norm: 9.9768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2509 loss: 1.2509 2022/07/30 00:17:12 - mmengine - INFO - Epoch(train) [139][260/3757] lr: 1.2843e-03 eta: 18:17:02 time: 0.4065 data_time: 0.0202 memory: 17006 grad_norm: 10.2092 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3233 loss: 1.3233 2022/07/30 00:17:21 - mmengine - INFO - Epoch(train) [139][280/3757] lr: 1.2843e-03 eta: 18:16:54 time: 0.4269 data_time: 0.0233 memory: 17006 grad_norm: 10.5042 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5849 loss: 1.5849 2022/07/30 00:17:29 - mmengine - INFO - Epoch(train) [139][300/3757] lr: 1.2843e-03 eta: 18:16:45 time: 0.4060 data_time: 0.0206 memory: 17006 grad_norm: 10.0823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3650 loss: 1.3650 2022/07/30 00:17:37 - mmengine - INFO - Epoch(train) [139][320/3757] lr: 1.2843e-03 eta: 18:16:37 time: 0.4258 data_time: 0.0236 memory: 17006 grad_norm: 10.9078 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4220 loss: 1.4220 2022/07/30 00:17:45 - mmengine - INFO - Epoch(train) [139][340/3757] lr: 1.2843e-03 eta: 18:16:28 time: 0.4036 data_time: 0.0187 memory: 17006 grad_norm: 10.1092 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5697 loss: 1.5697 2022/07/30 00:17:54 - mmengine - INFO - Epoch(train) [139][360/3757] lr: 1.2843e-03 eta: 18:16:19 time: 0.4062 data_time: 0.0210 memory: 17006 grad_norm: 10.4339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5055 loss: 1.5055 2022/07/30 00:18:02 - mmengine - INFO - Epoch(train) [139][380/3757] lr: 1.2843e-03 eta: 18:16:11 time: 0.4117 data_time: 0.0213 memory: 17006 grad_norm: 10.3389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1705 loss: 1.1705 2022/07/30 00:18:10 - mmengine - INFO - Epoch(train) [139][400/3757] lr: 1.2843e-03 eta: 18:16:02 time: 0.4191 data_time: 0.0217 memory: 17006 grad_norm: 10.0188 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0421 loss: 1.0421 2022/07/30 00:18:18 - mmengine - INFO - Epoch(train) [139][420/3757] lr: 1.2843e-03 eta: 18:15:54 time: 0.4124 data_time: 0.0223 memory: 17006 grad_norm: 10.1519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2166 loss: 1.2166 2022/07/30 00:18:27 - mmengine - INFO - Epoch(train) [139][440/3757] lr: 1.2843e-03 eta: 18:15:45 time: 0.4124 data_time: 0.0207 memory: 17006 grad_norm: 10.0307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1975 loss: 1.1975 2022/07/30 00:18:35 - mmengine - INFO - Epoch(train) [139][460/3757] lr: 1.2843e-03 eta: 18:15:36 time: 0.4050 data_time: 0.0205 memory: 17006 grad_norm: 10.2788 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2462 loss: 1.2462 2022/07/30 00:18:43 - mmengine - INFO - Epoch(train) [139][480/3757] lr: 1.2843e-03 eta: 18:15:28 time: 0.4196 data_time: 0.0212 memory: 17006 grad_norm: 10.3875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4010 loss: 1.4010 2022/07/30 00:18:52 - mmengine - INFO - Epoch(train) [139][500/3757] lr: 1.2843e-03 eta: 18:15:20 time: 0.4199 data_time: 0.0187 memory: 17006 grad_norm: 9.6661 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2005 loss: 1.2005 2022/07/30 00:19:00 - mmengine - INFO - Epoch(train) [139][520/3757] lr: 1.2843e-03 eta: 18:15:12 time: 0.4189 data_time: 0.0236 memory: 17006 grad_norm: 10.3786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4638 loss: 1.4638 2022/07/30 00:19:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:19:08 - mmengine - INFO - Epoch(train) [139][540/3757] lr: 1.2843e-03 eta: 18:15:03 time: 0.4117 data_time: 0.0203 memory: 17006 grad_norm: 10.0706 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3398 loss: 1.3398 2022/07/30 00:19:17 - mmengine - INFO - Epoch(train) [139][560/3757] lr: 1.2843e-03 eta: 18:14:55 time: 0.4261 data_time: 0.0219 memory: 17006 grad_norm: 10.4762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5247 loss: 1.5247 2022/07/30 00:19:25 - mmengine - INFO - Epoch(train) [139][580/3757] lr: 1.2843e-03 eta: 18:14:46 time: 0.4050 data_time: 0.0185 memory: 17006 grad_norm: 9.6661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/30 00:19:33 - mmengine - INFO - Epoch(train) [139][600/3757] lr: 1.2843e-03 eta: 18:14:38 time: 0.4139 data_time: 0.0214 memory: 17006 grad_norm: 10.5784 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5201 loss: 1.5201 2022/07/30 00:19:42 - mmengine - INFO - Epoch(train) [139][620/3757] lr: 1.2843e-03 eta: 18:14:29 time: 0.4083 data_time: 0.0185 memory: 17006 grad_norm: 10.1582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4824 loss: 1.4824 2022/07/30 00:19:50 - mmengine - INFO - Epoch(train) [139][640/3757] lr: 1.2843e-03 eta: 18:14:20 time: 0.4139 data_time: 0.0216 memory: 17006 grad_norm: 10.5278 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6467 loss: 1.6467 2022/07/30 00:19:58 - mmengine - INFO - Epoch(train) [139][660/3757] lr: 1.2843e-03 eta: 18:14:12 time: 0.4067 data_time: 0.0204 memory: 17006 grad_norm: 10.4007 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3504 loss: 1.3504 2022/07/30 00:20:06 - mmengine - INFO - Epoch(train) [139][680/3757] lr: 1.2843e-03 eta: 18:14:03 time: 0.4050 data_time: 0.0208 memory: 17006 grad_norm: 10.2792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5357 loss: 1.5357 2022/07/30 00:20:14 - mmengine - INFO - Epoch(train) [139][700/3757] lr: 1.2843e-03 eta: 18:13:54 time: 0.4071 data_time: 0.0201 memory: 17006 grad_norm: 10.1539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2031 loss: 1.2031 2022/07/30 00:20:23 - mmengine - INFO - Epoch(train) [139][720/3757] lr: 1.2843e-03 eta: 18:13:45 time: 0.4147 data_time: 0.0221 memory: 17006 grad_norm: 9.8565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2901 loss: 1.2901 2022/07/30 00:20:31 - mmengine - INFO - Epoch(train) [139][740/3757] lr: 1.2843e-03 eta: 18:13:37 time: 0.4080 data_time: 0.0205 memory: 17006 grad_norm: 10.1337 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5469 loss: 1.5469 2022/07/30 00:20:39 - mmengine - INFO - Epoch(train) [139][760/3757] lr: 1.2843e-03 eta: 18:13:28 time: 0.4120 data_time: 0.0241 memory: 17006 grad_norm: 10.6649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4197 loss: 1.4197 2022/07/30 00:20:47 - mmengine - INFO - Epoch(train) [139][780/3757] lr: 1.2843e-03 eta: 18:13:19 time: 0.4049 data_time: 0.0193 memory: 17006 grad_norm: 10.4889 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3016 loss: 1.3016 2022/07/30 00:20:55 - mmengine - INFO - Epoch(train) [139][800/3757] lr: 1.2843e-03 eta: 18:13:11 time: 0.4064 data_time: 0.0221 memory: 17006 grad_norm: 10.7934 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6550 loss: 1.6550 2022/07/30 00:21:04 - mmengine - INFO - Epoch(train) [139][820/3757] lr: 1.2843e-03 eta: 18:13:02 time: 0.4184 data_time: 0.0206 memory: 17006 grad_norm: 10.2196 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2988 loss: 1.2988 2022/07/30 00:21:12 - mmengine - INFO - Epoch(train) [139][840/3757] lr: 1.2843e-03 eta: 18:12:54 time: 0.4094 data_time: 0.0201 memory: 17006 grad_norm: 10.2227 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2346 loss: 1.2346 2022/07/30 00:21:20 - mmengine - INFO - Epoch(train) [139][860/3757] lr: 1.2843e-03 eta: 18:12:45 time: 0.4134 data_time: 0.0223 memory: 17006 grad_norm: 10.3597 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2356 loss: 1.2356 2022/07/30 00:21:28 - mmengine - INFO - Epoch(train) [139][880/3757] lr: 1.2843e-03 eta: 18:12:36 time: 0.4047 data_time: 0.0211 memory: 17006 grad_norm: 10.1729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4540 loss: 1.4540 2022/07/30 00:21:36 - mmengine - INFO - Epoch(train) [139][900/3757] lr: 1.2843e-03 eta: 18:12:27 time: 0.4052 data_time: 0.0201 memory: 17006 grad_norm: 9.9894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1668 loss: 1.1668 2022/07/30 00:21:45 - mmengine - INFO - Epoch(train) [139][920/3757] lr: 1.2843e-03 eta: 18:12:19 time: 0.4071 data_time: 0.0214 memory: 17006 grad_norm: 10.4464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6970 loss: 1.6970 2022/07/30 00:21:53 - mmengine - INFO - Epoch(train) [139][940/3757] lr: 1.2843e-03 eta: 18:12:10 time: 0.4084 data_time: 0.0183 memory: 17006 grad_norm: 10.3717 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3045 loss: 1.3045 2022/07/30 00:22:01 - mmengine - INFO - Epoch(train) [139][960/3757] lr: 1.2843e-03 eta: 18:12:01 time: 0.4106 data_time: 0.0234 memory: 17006 grad_norm: 10.4439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5566 loss: 1.5566 2022/07/30 00:22:09 - mmengine - INFO - Epoch(train) [139][980/3757] lr: 1.2843e-03 eta: 18:11:53 time: 0.4119 data_time: 0.0203 memory: 17006 grad_norm: 10.2697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2538 loss: 1.2538 2022/07/30 00:22:17 - mmengine - INFO - Epoch(train) [139][1000/3757] lr: 1.2843e-03 eta: 18:11:44 time: 0.4078 data_time: 0.0210 memory: 17006 grad_norm: 9.9307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5699 loss: 1.5699 2022/07/30 00:22:26 - mmengine - INFO - Epoch(train) [139][1020/3757] lr: 1.2843e-03 eta: 18:11:35 time: 0.4027 data_time: 0.0180 memory: 17006 grad_norm: 10.5379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3552 loss: 1.3552 2022/07/30 00:22:34 - mmengine - INFO - Epoch(train) [139][1040/3757] lr: 1.2843e-03 eta: 18:11:26 time: 0.4052 data_time: 0.0217 memory: 17006 grad_norm: 9.9613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2591 loss: 1.2591 2022/07/30 00:22:42 - mmengine - INFO - Epoch(train) [139][1060/3757] lr: 1.2843e-03 eta: 18:11:18 time: 0.4123 data_time: 0.0224 memory: 17006 grad_norm: 9.9597 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2569 loss: 1.2569 2022/07/30 00:22:50 - mmengine - INFO - Epoch(train) [139][1080/3757] lr: 1.2843e-03 eta: 18:11:09 time: 0.4051 data_time: 0.0201 memory: 17006 grad_norm: 10.1898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5173 loss: 1.5173 2022/07/30 00:22:58 - mmengine - INFO - Epoch(train) [139][1100/3757] lr: 1.2843e-03 eta: 18:11:00 time: 0.4074 data_time: 0.0216 memory: 17006 grad_norm: 10.5703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5080 loss: 1.5080 2022/07/30 00:23:06 - mmengine - INFO - Epoch(train) [139][1120/3757] lr: 1.2843e-03 eta: 18:10:51 time: 0.4054 data_time: 0.0205 memory: 17006 grad_norm: 10.1542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5818 loss: 1.5818 2022/07/30 00:23:15 - mmengine - INFO - Epoch(train) [139][1140/3757] lr: 1.2843e-03 eta: 18:10:42 time: 0.4047 data_time: 0.0196 memory: 17006 grad_norm: 10.5464 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1786 loss: 1.1786 2022/07/30 00:23:23 - mmengine - INFO - Epoch(train) [139][1160/3757] lr: 1.2843e-03 eta: 18:10:34 time: 0.4080 data_time: 0.0232 memory: 17006 grad_norm: 10.0590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7939 loss: 1.7939 2022/07/30 00:23:31 - mmengine - INFO - Epoch(train) [139][1180/3757] lr: 1.2843e-03 eta: 18:10:25 time: 0.4121 data_time: 0.0212 memory: 17006 grad_norm: 10.2757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2570 loss: 1.2570 2022/07/30 00:23:39 - mmengine - INFO - Epoch(train) [139][1200/3757] lr: 1.2843e-03 eta: 18:10:16 time: 0.4044 data_time: 0.0201 memory: 17006 grad_norm: 10.1342 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4689 loss: 1.4689 2022/07/30 00:23:48 - mmengine - INFO - Epoch(train) [139][1220/3757] lr: 1.2843e-03 eta: 18:10:08 time: 0.4246 data_time: 0.0228 memory: 17006 grad_norm: 10.6343 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5630 loss: 1.5630 2022/07/30 00:23:56 - mmengine - INFO - Epoch(train) [139][1240/3757] lr: 1.2843e-03 eta: 18:09:59 time: 0.4035 data_time: 0.0203 memory: 17006 grad_norm: 9.7195 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3610 loss: 1.3610 2022/07/30 00:24:04 - mmengine - INFO - Epoch(train) [139][1260/3757] lr: 1.2843e-03 eta: 18:09:51 time: 0.4107 data_time: 0.0179 memory: 17006 grad_norm: 9.7041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3072 loss: 1.3072 2022/07/30 00:24:12 - mmengine - INFO - Epoch(train) [139][1280/3757] lr: 1.2843e-03 eta: 18:09:42 time: 0.4102 data_time: 0.0233 memory: 17006 grad_norm: 10.0709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3032 loss: 1.3032 2022/07/30 00:24:21 - mmengine - INFO - Epoch(train) [139][1300/3757] lr: 1.2843e-03 eta: 18:09:34 time: 0.4204 data_time: 0.0197 memory: 17006 grad_norm: 10.3564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2798 loss: 1.2798 2022/07/30 00:24:29 - mmengine - INFO - Epoch(train) [139][1320/3757] lr: 1.2843e-03 eta: 18:09:25 time: 0.4169 data_time: 0.0228 memory: 17006 grad_norm: 10.3861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4872 loss: 1.4872 2022/07/30 00:24:38 - mmengine - INFO - Epoch(train) [139][1340/3757] lr: 1.2843e-03 eta: 18:09:18 time: 0.4453 data_time: 0.0187 memory: 17006 grad_norm: 10.4814 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3467 loss: 1.3467 2022/07/30 00:24:46 - mmengine - INFO - Epoch(train) [139][1360/3757] lr: 1.2843e-03 eta: 18:09:09 time: 0.4039 data_time: 0.0205 memory: 17006 grad_norm: 10.5453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4468 loss: 1.4468 2022/07/30 00:24:54 - mmengine - INFO - Epoch(train) [139][1380/3757] lr: 1.2843e-03 eta: 18:09:01 time: 0.4196 data_time: 0.0207 memory: 17006 grad_norm: 11.2057 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6107 loss: 1.6107 2022/07/30 00:25:03 - mmengine - INFO - Epoch(train) [139][1400/3757] lr: 1.2843e-03 eta: 18:08:52 time: 0.4065 data_time: 0.0211 memory: 17006 grad_norm: 10.4827 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5866 loss: 1.5866 2022/07/30 00:25:11 - mmengine - INFO - Epoch(train) [139][1420/3757] lr: 1.2843e-03 eta: 18:08:44 time: 0.4149 data_time: 0.0231 memory: 17006 grad_norm: 10.6634 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2037 loss: 1.2037 2022/07/30 00:25:19 - mmengine - INFO - Epoch(train) [139][1440/3757] lr: 1.2843e-03 eta: 18:08:35 time: 0.4079 data_time: 0.0205 memory: 17006 grad_norm: 10.3226 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2946 loss: 1.2946 2022/07/30 00:25:27 - mmengine - INFO - Epoch(train) [139][1460/3757] lr: 1.2843e-03 eta: 18:08:27 time: 0.4176 data_time: 0.0205 memory: 17006 grad_norm: 10.3121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1149 loss: 1.1149 2022/07/30 00:25:36 - mmengine - INFO - Epoch(train) [139][1480/3757] lr: 1.2843e-03 eta: 18:08:18 time: 0.4069 data_time: 0.0196 memory: 17006 grad_norm: 10.4104 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1865 loss: 1.1865 2022/07/30 00:25:44 - mmengine - INFO - Epoch(train) [139][1500/3757] lr: 1.2843e-03 eta: 18:08:09 time: 0.4049 data_time: 0.0182 memory: 17006 grad_norm: 10.8721 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4350 loss: 1.4350 2022/07/30 00:25:53 - mmengine - INFO - Epoch(train) [139][1520/3757] lr: 1.2843e-03 eta: 18:08:02 time: 0.4411 data_time: 0.0211 memory: 17006 grad_norm: 10.5684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6236 loss: 1.6236 2022/07/30 00:25:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:26:01 - mmengine - INFO - Epoch(train) [139][1540/3757] lr: 1.2843e-03 eta: 18:07:53 time: 0.4075 data_time: 0.0206 memory: 17006 grad_norm: 10.5110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3393 loss: 1.3393 2022/07/30 00:26:09 - mmengine - INFO - Epoch(train) [139][1560/3757] lr: 1.2843e-03 eta: 18:07:44 time: 0.4182 data_time: 0.0238 memory: 17006 grad_norm: 10.9897 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6709 loss: 1.6709 2022/07/30 00:26:17 - mmengine - INFO - Epoch(train) [139][1580/3757] lr: 1.2843e-03 eta: 18:07:36 time: 0.4094 data_time: 0.0205 memory: 17006 grad_norm: 10.6340 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5371 loss: 1.5371 2022/07/30 00:26:25 - mmengine - INFO - Epoch(train) [139][1600/3757] lr: 1.2843e-03 eta: 18:07:27 time: 0.4052 data_time: 0.0204 memory: 17006 grad_norm: 10.5932 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6083 loss: 1.6083 2022/07/30 00:26:34 - mmengine - INFO - Epoch(train) [139][1620/3757] lr: 1.2843e-03 eta: 18:07:18 time: 0.4069 data_time: 0.0200 memory: 17006 grad_norm: 10.0819 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5261 loss: 1.5261 2022/07/30 00:26:42 - mmengine - INFO - Epoch(train) [139][1640/3757] lr: 1.2843e-03 eta: 18:07:10 time: 0.4127 data_time: 0.0214 memory: 17006 grad_norm: 10.6234 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6400 loss: 1.6400 2022/07/30 00:26:50 - mmengine - INFO - Epoch(train) [139][1660/3757] lr: 1.2843e-03 eta: 18:07:01 time: 0.4070 data_time: 0.0220 memory: 17006 grad_norm: 10.2258 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2437 loss: 1.2437 2022/07/30 00:26:58 - mmengine - INFO - Epoch(train) [139][1680/3757] lr: 1.2843e-03 eta: 18:06:53 time: 0.4165 data_time: 0.0217 memory: 17006 grad_norm: 10.7488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6784 loss: 1.6784 2022/07/30 00:27:07 - mmengine - INFO - Epoch(train) [139][1700/3757] lr: 1.2843e-03 eta: 18:06:44 time: 0.4031 data_time: 0.0181 memory: 17006 grad_norm: 10.5497 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1182 loss: 1.1182 2022/07/30 00:27:15 - mmengine - INFO - Epoch(train) [139][1720/3757] lr: 1.2843e-03 eta: 18:06:35 time: 0.4178 data_time: 0.0233 memory: 17006 grad_norm: 10.7034 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6077 loss: 1.6077 2022/07/30 00:27:23 - mmengine - INFO - Epoch(train) [139][1740/3757] lr: 1.2843e-03 eta: 18:06:27 time: 0.4246 data_time: 0.0207 memory: 17006 grad_norm: 10.7743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3401 loss: 1.3401 2022/07/30 00:27:32 - mmengine - INFO - Epoch(train) [139][1760/3757] lr: 1.2843e-03 eta: 18:06:19 time: 0.4159 data_time: 0.0248 memory: 17006 grad_norm: 10.4022 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5422 loss: 1.5422 2022/07/30 00:27:40 - mmengine - INFO - Epoch(train) [139][1780/3757] lr: 1.2843e-03 eta: 18:06:11 time: 0.4222 data_time: 0.0206 memory: 17006 grad_norm: 10.4593 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4762 loss: 1.4762 2022/07/30 00:27:49 - mmengine - INFO - Epoch(train) [139][1800/3757] lr: 1.2843e-03 eta: 18:06:03 time: 0.4439 data_time: 0.0246 memory: 17006 grad_norm: 10.0766 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1305 loss: 1.1305 2022/07/30 00:27:57 - mmengine - INFO - Epoch(train) [139][1820/3757] lr: 1.2843e-03 eta: 18:05:54 time: 0.4060 data_time: 0.0199 memory: 17006 grad_norm: 10.1706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4714 loss: 1.4714 2022/07/30 00:28:05 - mmengine - INFO - Epoch(train) [139][1840/3757] lr: 1.2843e-03 eta: 18:05:46 time: 0.4084 data_time: 0.0203 memory: 17006 grad_norm: 10.6348 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7963 loss: 1.7963 2022/07/30 00:28:15 - mmengine - INFO - Epoch(train) [139][1860/3757] lr: 1.2843e-03 eta: 18:05:39 time: 0.4678 data_time: 0.0205 memory: 17006 grad_norm: 10.5696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3759 loss: 1.3759 2022/07/30 00:28:23 - mmengine - INFO - Epoch(train) [139][1880/3757] lr: 1.2843e-03 eta: 18:05:31 time: 0.4145 data_time: 0.0209 memory: 17006 grad_norm: 10.0750 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5254 loss: 1.5254 2022/07/30 00:28:32 - mmengine - INFO - Epoch(train) [139][1900/3757] lr: 1.2843e-03 eta: 18:05:23 time: 0.4356 data_time: 0.0232 memory: 17006 grad_norm: 10.2731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/07/30 00:28:40 - mmengine - INFO - Epoch(train) [139][1920/3757] lr: 1.2843e-03 eta: 18:05:15 time: 0.4138 data_time: 0.0227 memory: 17006 grad_norm: 10.0903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4201 loss: 1.4201 2022/07/30 00:28:48 - mmengine - INFO - Epoch(train) [139][1940/3757] lr: 1.2843e-03 eta: 18:05:06 time: 0.4082 data_time: 0.0203 memory: 17006 grad_norm: 10.6161 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3584 loss: 1.3584 2022/07/30 00:28:57 - mmengine - INFO - Epoch(train) [139][1960/3757] lr: 1.2843e-03 eta: 18:04:57 time: 0.4046 data_time: 0.0210 memory: 17006 grad_norm: 10.4348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0917 loss: 1.0917 2022/07/30 00:29:05 - mmengine - INFO - Epoch(train) [139][1980/3757] lr: 1.2843e-03 eta: 18:04:48 time: 0.4090 data_time: 0.0200 memory: 17006 grad_norm: 10.2561 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4939 loss: 1.4939 2022/07/30 00:29:13 - mmengine - INFO - Epoch(train) [139][2000/3757] lr: 1.2843e-03 eta: 18:04:40 time: 0.4093 data_time: 0.0211 memory: 17006 grad_norm: 10.3410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6873 loss: 1.6873 2022/07/30 00:29:21 - mmengine - INFO - Epoch(train) [139][2020/3757] lr: 1.2843e-03 eta: 18:04:31 time: 0.4154 data_time: 0.0210 memory: 17006 grad_norm: 10.3988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2231 loss: 1.2231 2022/07/30 00:29:30 - mmengine - INFO - Epoch(train) [139][2040/3757] lr: 1.2843e-03 eta: 18:04:23 time: 0.4249 data_time: 0.0227 memory: 17006 grad_norm: 10.6720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5154 loss: 1.5154 2022/07/30 00:29:38 - mmengine - INFO - Epoch(train) [139][2060/3757] lr: 1.2843e-03 eta: 18:04:14 time: 0.4049 data_time: 0.0191 memory: 17006 grad_norm: 10.6484 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4676 loss: 1.4676 2022/07/30 00:29:46 - mmengine - INFO - Epoch(train) [139][2080/3757] lr: 1.2843e-03 eta: 18:04:05 time: 0.4062 data_time: 0.0210 memory: 17006 grad_norm: 9.8088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6646 loss: 1.6646 2022/07/30 00:29:55 - mmengine - INFO - Epoch(train) [139][2100/3757] lr: 1.2843e-03 eta: 18:03:58 time: 0.4490 data_time: 0.0215 memory: 17006 grad_norm: 10.3721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6034 loss: 1.6034 2022/07/30 00:30:03 - mmengine - INFO - Epoch(train) [139][2120/3757] lr: 1.2843e-03 eta: 18:03:50 time: 0.4114 data_time: 0.0220 memory: 17006 grad_norm: 10.4428 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 1.3613 loss: 1.3613 2022/07/30 00:30:12 - mmengine - INFO - Epoch(train) [139][2140/3757] lr: 1.2843e-03 eta: 18:03:41 time: 0.4193 data_time: 0.0233 memory: 17006 grad_norm: 10.3223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3756 loss: 1.3756 2022/07/30 00:30:20 - mmengine - INFO - Epoch(train) [139][2160/3757] lr: 1.2843e-03 eta: 18:03:33 time: 0.4096 data_time: 0.0210 memory: 17006 grad_norm: 10.6565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3678 loss: 1.3678 2022/07/30 00:30:28 - mmengine - INFO - Epoch(train) [139][2180/3757] lr: 1.2843e-03 eta: 18:03:25 time: 0.4215 data_time: 0.0216 memory: 17006 grad_norm: 9.8484 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7320 loss: 1.7320 2022/07/30 00:30:37 - mmengine - INFO - Epoch(train) [139][2200/3757] lr: 1.2843e-03 eta: 18:03:16 time: 0.4042 data_time: 0.0204 memory: 17006 grad_norm: 10.3239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5384 loss: 1.5384 2022/07/30 00:30:45 - mmengine - INFO - Epoch(train) [139][2220/3757] lr: 1.2843e-03 eta: 18:03:07 time: 0.4076 data_time: 0.0201 memory: 17006 grad_norm: 10.3481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2382 loss: 1.2382 2022/07/30 00:30:59 - mmengine - INFO - Epoch(train) [139][2240/3757] lr: 1.2843e-03 eta: 18:03:10 time: 0.7281 data_time: 0.0511 memory: 17006 grad_norm: 10.2023 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5273 loss: 1.5273 2022/07/30 00:31:08 - mmengine - INFO - Epoch(train) [139][2260/3757] lr: 1.2843e-03 eta: 18:03:02 time: 0.4151 data_time: 0.0232 memory: 17006 grad_norm: 10.2268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2574 loss: 1.2574 2022/07/30 00:31:16 - mmengine - INFO - Epoch(train) [139][2280/3757] lr: 1.2843e-03 eta: 18:02:53 time: 0.4023 data_time: 0.0180 memory: 17006 grad_norm: 10.3524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4595 loss: 1.4595 2022/07/30 00:31:24 - mmengine - INFO - Epoch(train) [139][2300/3757] lr: 1.2843e-03 eta: 18:02:45 time: 0.4387 data_time: 0.0220 memory: 17006 grad_norm: 10.2581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4041 loss: 1.4041 2022/07/30 00:31:33 - mmengine - INFO - Epoch(train) [139][2320/3757] lr: 1.2843e-03 eta: 18:02:36 time: 0.4040 data_time: 0.0186 memory: 17006 grad_norm: 10.3539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4746 loss: 1.4746 2022/07/30 00:31:41 - mmengine - INFO - Epoch(train) [139][2340/3757] lr: 1.2843e-03 eta: 18:02:28 time: 0.4113 data_time: 0.0226 memory: 17006 grad_norm: 10.9277 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5178 loss: 1.5178 2022/07/30 00:31:49 - mmengine - INFO - Epoch(train) [139][2360/3757] lr: 1.2843e-03 eta: 18:02:19 time: 0.4164 data_time: 0.0172 memory: 17006 grad_norm: 10.5921 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4579 loss: 1.4579 2022/07/30 00:31:57 - mmengine - INFO - Epoch(train) [139][2380/3757] lr: 1.2843e-03 eta: 18:02:10 time: 0.4045 data_time: 0.0203 memory: 17006 grad_norm: 10.4109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4667 loss: 1.4667 2022/07/30 00:32:05 - mmengine - INFO - Epoch(train) [139][2400/3757] lr: 1.2843e-03 eta: 18:02:01 time: 0.4047 data_time: 0.0173 memory: 17006 grad_norm: 10.3520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1634 loss: 1.1634 2022/07/30 00:32:14 - mmengine - INFO - Epoch(train) [139][2420/3757] lr: 1.2843e-03 eta: 18:01:53 time: 0.4203 data_time: 0.0296 memory: 17006 grad_norm: 10.5684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5202 loss: 1.5202 2022/07/30 00:32:22 - mmengine - INFO - Epoch(train) [139][2440/3757] lr: 1.2843e-03 eta: 18:01:44 time: 0.4050 data_time: 0.0192 memory: 17006 grad_norm: 10.8652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4454 loss: 1.4454 2022/07/30 00:32:30 - mmengine - INFO - Epoch(train) [139][2460/3757] lr: 1.2843e-03 eta: 18:01:36 time: 0.4083 data_time: 0.0218 memory: 17006 grad_norm: 10.5711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1765 loss: 1.1765 2022/07/30 00:32:38 - mmengine - INFO - Epoch(train) [139][2480/3757] lr: 1.2843e-03 eta: 18:01:27 time: 0.4083 data_time: 0.0192 memory: 17006 grad_norm: 10.3944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6822 loss: 1.6822 2022/07/30 00:32:47 - mmengine - INFO - Epoch(train) [139][2500/3757] lr: 1.2843e-03 eta: 18:01:18 time: 0.4066 data_time: 0.0216 memory: 17006 grad_norm: 10.1664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3414 loss: 1.3414 2022/07/30 00:32:55 - mmengine - INFO - Epoch(train) [139][2520/3757] lr: 1.2843e-03 eta: 18:01:09 time: 0.4068 data_time: 0.0196 memory: 17006 grad_norm: 10.1566 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/07/30 00:33:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:33:03 - mmengine - INFO - Epoch(train) [139][2540/3757] lr: 1.2843e-03 eta: 18:01:01 time: 0.4053 data_time: 0.0212 memory: 17006 grad_norm: 10.6492 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.5177 loss: 1.5177 2022/07/30 00:33:11 - mmengine - INFO - Epoch(train) [139][2560/3757] lr: 1.2843e-03 eta: 18:00:52 time: 0.4047 data_time: 0.0195 memory: 17006 grad_norm: 10.1878 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6724 loss: 1.6724 2022/07/30 00:33:19 - mmengine - INFO - Epoch(train) [139][2580/3757] lr: 1.2843e-03 eta: 18:00:43 time: 0.4109 data_time: 0.0201 memory: 17006 grad_norm: 10.4209 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3016 loss: 1.3016 2022/07/30 00:33:27 - mmengine - INFO - Epoch(train) [139][2600/3757] lr: 1.2843e-03 eta: 18:00:34 time: 0.4026 data_time: 0.0187 memory: 17006 grad_norm: 10.1227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3719 loss: 1.3719 2022/07/30 00:33:35 - mmengine - INFO - Epoch(train) [139][2620/3757] lr: 1.2843e-03 eta: 18:00:26 time: 0.4084 data_time: 0.0217 memory: 17006 grad_norm: 10.4642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2789 loss: 1.2789 2022/07/30 00:33:44 - mmengine - INFO - Epoch(train) [139][2640/3757] lr: 1.2843e-03 eta: 18:00:17 time: 0.4188 data_time: 0.0179 memory: 17006 grad_norm: 10.1195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3425 loss: 1.3425 2022/07/30 00:33:52 - mmengine - INFO - Epoch(train) [139][2660/3757] lr: 1.2843e-03 eta: 18:00:09 time: 0.4072 data_time: 0.0222 memory: 17006 grad_norm: 9.9183 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4537 loss: 1.4537 2022/07/30 00:34:00 - mmengine - INFO - Epoch(train) [139][2680/3757] lr: 1.2843e-03 eta: 18:00:00 time: 0.4068 data_time: 0.0193 memory: 17006 grad_norm: 10.1692 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/07/30 00:34:08 - mmengine - INFO - Epoch(train) [139][2700/3757] lr: 1.2843e-03 eta: 17:59:51 time: 0.4090 data_time: 0.0219 memory: 17006 grad_norm: 10.2467 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4626 loss: 1.4626 2022/07/30 00:34:16 - mmengine - INFO - Epoch(train) [139][2720/3757] lr: 1.2843e-03 eta: 17:59:42 time: 0.4041 data_time: 0.0175 memory: 17006 grad_norm: 10.1763 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5177 loss: 1.5177 2022/07/30 00:34:25 - mmengine - INFO - Epoch(train) [139][2740/3757] lr: 1.2843e-03 eta: 17:59:34 time: 0.4072 data_time: 0.0228 memory: 17006 grad_norm: 10.0482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5570 loss: 1.5570 2022/07/30 00:34:33 - mmengine - INFO - Epoch(train) [139][2760/3757] lr: 1.2843e-03 eta: 17:59:25 time: 0.4114 data_time: 0.0196 memory: 17006 grad_norm: 10.1712 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/07/30 00:34:42 - mmengine - INFO - Epoch(train) [139][2780/3757] lr: 1.2843e-03 eta: 17:59:17 time: 0.4283 data_time: 0.0211 memory: 17006 grad_norm: 11.0015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3006 loss: 1.3006 2022/07/30 00:34:50 - mmengine - INFO - Epoch(train) [139][2800/3757] lr: 1.2843e-03 eta: 17:59:08 time: 0.4140 data_time: 0.0210 memory: 17006 grad_norm: 10.9277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/07/30 00:34:58 - mmengine - INFO - Epoch(train) [139][2820/3757] lr: 1.2843e-03 eta: 17:59:00 time: 0.4070 data_time: 0.0219 memory: 17006 grad_norm: 10.0421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5686 loss: 1.5686 2022/07/30 00:35:06 - mmengine - INFO - Epoch(train) [139][2840/3757] lr: 1.2843e-03 eta: 17:58:51 time: 0.4062 data_time: 0.0188 memory: 17006 grad_norm: 10.3869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6410 loss: 1.6410 2022/07/30 00:35:15 - mmengine - INFO - Epoch(train) [139][2860/3757] lr: 1.2843e-03 eta: 17:58:44 time: 0.4442 data_time: 0.0227 memory: 17006 grad_norm: 10.1823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6395 loss: 1.6395 2022/07/30 00:35:23 - mmengine - INFO - Epoch(train) [139][2880/3757] lr: 1.2843e-03 eta: 17:58:35 time: 0.4043 data_time: 0.0181 memory: 17006 grad_norm: 10.1823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3910 loss: 1.3910 2022/07/30 00:35:32 - mmengine - INFO - Epoch(train) [139][2900/3757] lr: 1.2843e-03 eta: 17:58:27 time: 0.4265 data_time: 0.0236 memory: 17006 grad_norm: 10.3649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6254 loss: 1.6254 2022/07/30 00:35:40 - mmengine - INFO - Epoch(train) [139][2920/3757] lr: 1.2843e-03 eta: 17:58:18 time: 0.4029 data_time: 0.0175 memory: 17006 grad_norm: 10.0034 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3584 loss: 1.3584 2022/07/30 00:35:48 - mmengine - INFO - Epoch(train) [139][2940/3757] lr: 1.2843e-03 eta: 17:58:09 time: 0.4049 data_time: 0.0211 memory: 17006 grad_norm: 10.7197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5042 loss: 1.5042 2022/07/30 00:35:57 - mmengine - INFO - Epoch(train) [139][2960/3757] lr: 1.2843e-03 eta: 17:58:01 time: 0.4296 data_time: 0.0185 memory: 17006 grad_norm: 10.7835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7934 loss: 1.7934 2022/07/30 00:36:05 - mmengine - INFO - Epoch(train) [139][2980/3757] lr: 1.2843e-03 eta: 17:57:52 time: 0.4037 data_time: 0.0207 memory: 17006 grad_norm: 10.0731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4606 loss: 1.4606 2022/07/30 00:36:13 - mmengine - INFO - Epoch(train) [139][3000/3757] lr: 1.2843e-03 eta: 17:57:43 time: 0.4071 data_time: 0.0193 memory: 17006 grad_norm: 10.9181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7826 loss: 1.7826 2022/07/30 00:36:21 - mmengine - INFO - Epoch(train) [139][3020/3757] lr: 1.2843e-03 eta: 17:57:35 time: 0.4050 data_time: 0.0203 memory: 17006 grad_norm: 10.5121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5230 loss: 1.5230 2022/07/30 00:36:29 - mmengine - INFO - Epoch(train) [139][3040/3757] lr: 1.2843e-03 eta: 17:57:26 time: 0.4066 data_time: 0.0200 memory: 17006 grad_norm: 10.3006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1895 loss: 1.1895 2022/07/30 00:36:37 - mmengine - INFO - Epoch(train) [139][3060/3757] lr: 1.2843e-03 eta: 17:57:17 time: 0.4044 data_time: 0.0205 memory: 17006 grad_norm: 10.1119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4532 loss: 1.4532 2022/07/30 00:36:45 - mmengine - INFO - Epoch(train) [139][3080/3757] lr: 1.2843e-03 eta: 17:57:08 time: 0.4047 data_time: 0.0190 memory: 17006 grad_norm: 10.5234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3484 loss: 1.3484 2022/07/30 00:36:54 - mmengine - INFO - Epoch(train) [139][3100/3757] lr: 1.2843e-03 eta: 17:57:00 time: 0.4169 data_time: 0.0224 memory: 17006 grad_norm: 9.8132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6304 loss: 1.6304 2022/07/30 00:37:02 - mmengine - INFO - Epoch(train) [139][3120/3757] lr: 1.2843e-03 eta: 17:56:51 time: 0.4032 data_time: 0.0177 memory: 17006 grad_norm: 10.4437 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4546 loss: 1.4546 2022/07/30 00:37:10 - mmengine - INFO - Epoch(train) [139][3140/3757] lr: 1.2843e-03 eta: 17:56:42 time: 0.4087 data_time: 0.0232 memory: 17006 grad_norm: 10.1613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3915 loss: 1.3915 2022/07/30 00:37:18 - mmengine - INFO - Epoch(train) [139][3160/3757] lr: 1.2843e-03 eta: 17:56:33 time: 0.4028 data_time: 0.0175 memory: 17006 grad_norm: 10.3309 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1308 loss: 1.1308 2022/07/30 00:37:26 - mmengine - INFO - Epoch(train) [139][3180/3757] lr: 1.2843e-03 eta: 17:56:25 time: 0.4066 data_time: 0.0217 memory: 17006 grad_norm: 10.7838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3641 loss: 1.3641 2022/07/30 00:37:35 - mmengine - INFO - Epoch(train) [139][3200/3757] lr: 1.2843e-03 eta: 17:56:16 time: 0.4221 data_time: 0.0194 memory: 17006 grad_norm: 10.8234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5762 loss: 1.5762 2022/07/30 00:37:43 - mmengine - INFO - Epoch(train) [139][3220/3757] lr: 1.2843e-03 eta: 17:56:08 time: 0.4047 data_time: 0.0209 memory: 17006 grad_norm: 10.5860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4729 loss: 1.4729 2022/07/30 00:37:51 - mmengine - INFO - Epoch(train) [139][3240/3757] lr: 1.2843e-03 eta: 17:56:00 time: 0.4321 data_time: 0.0202 memory: 17006 grad_norm: 10.1139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3413 loss: 1.3413 2022/07/30 00:38:00 - mmengine - INFO - Epoch(train) [139][3260/3757] lr: 1.2843e-03 eta: 17:55:51 time: 0.4069 data_time: 0.0215 memory: 17006 grad_norm: 10.0626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4890 loss: 1.4890 2022/07/30 00:38:08 - mmengine - INFO - Epoch(train) [139][3280/3757] lr: 1.2843e-03 eta: 17:55:42 time: 0.4036 data_time: 0.0181 memory: 17006 grad_norm: 10.3476 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3404 loss: 1.3404 2022/07/30 00:38:17 - mmengine - INFO - Epoch(train) [139][3300/3757] lr: 1.2843e-03 eta: 17:55:35 time: 0.4463 data_time: 0.0330 memory: 17006 grad_norm: 10.1018 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4818 loss: 1.4818 2022/07/30 00:38:25 - mmengine - INFO - Epoch(train) [139][3320/3757] lr: 1.2843e-03 eta: 17:55:26 time: 0.4039 data_time: 0.0190 memory: 17006 grad_norm: 10.1070 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0308 loss: 1.0308 2022/07/30 00:38:34 - mmengine - INFO - Epoch(train) [139][3340/3757] lr: 1.2843e-03 eta: 17:55:18 time: 0.4417 data_time: 0.0224 memory: 17006 grad_norm: 9.9027 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3560 loss: 1.3560 2022/07/30 00:38:42 - mmengine - INFO - Epoch(train) [139][3360/3757] lr: 1.2843e-03 eta: 17:55:10 time: 0.4039 data_time: 0.0186 memory: 17006 grad_norm: 10.1441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4538 loss: 1.4538 2022/07/30 00:38:50 - mmengine - INFO - Epoch(train) [139][3380/3757] lr: 1.2843e-03 eta: 17:55:02 time: 0.4311 data_time: 0.0229 memory: 17006 grad_norm: 10.6442 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3512 loss: 1.3512 2022/07/30 00:38:58 - mmengine - INFO - Epoch(train) [139][3400/3757] lr: 1.2843e-03 eta: 17:54:53 time: 0.4030 data_time: 0.0179 memory: 17006 grad_norm: 10.4375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4939 loss: 1.4939 2022/07/30 00:39:07 - mmengine - INFO - Epoch(train) [139][3420/3757] lr: 1.2843e-03 eta: 17:54:44 time: 0.4058 data_time: 0.0212 memory: 17006 grad_norm: 9.9014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4569 loss: 1.4569 2022/07/30 00:39:16 - mmengine - INFO - Epoch(train) [139][3440/3757] lr: 1.2843e-03 eta: 17:54:38 time: 0.4794 data_time: 0.0371 memory: 17006 grad_norm: 10.2523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3823 loss: 1.3823 2022/07/30 00:39:24 - mmengine - INFO - Epoch(train) [139][3460/3757] lr: 1.2843e-03 eta: 17:54:29 time: 0.4052 data_time: 0.0214 memory: 17006 grad_norm: 10.4425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5577 loss: 1.5577 2022/07/30 00:39:33 - mmengine - INFO - Epoch(train) [139][3480/3757] lr: 1.2843e-03 eta: 17:54:21 time: 0.4156 data_time: 0.0218 memory: 17006 grad_norm: 10.5876 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4905 loss: 1.4905 2022/07/30 00:39:41 - mmengine - INFO - Epoch(train) [139][3500/3757] lr: 1.2843e-03 eta: 17:54:13 time: 0.4344 data_time: 0.0206 memory: 17006 grad_norm: 10.5357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5011 loss: 1.5011 2022/07/30 00:39:50 - mmengine - INFO - Epoch(train) [139][3520/3757] lr: 1.2843e-03 eta: 17:54:06 time: 0.4429 data_time: 0.0274 memory: 17006 grad_norm: 10.1581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5127 loss: 1.5127 2022/07/30 00:39:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:39:58 - mmengine - INFO - Epoch(train) [139][3540/3757] lr: 1.2843e-03 eta: 17:53:57 time: 0.4043 data_time: 0.0206 memory: 17006 grad_norm: 9.9713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3716 loss: 1.3716 2022/07/30 00:40:06 - mmengine - INFO - Epoch(train) [139][3560/3757] lr: 1.2843e-03 eta: 17:53:48 time: 0.4026 data_time: 0.0181 memory: 17006 grad_norm: 10.1258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5301 loss: 1.5301 2022/07/30 00:40:15 - mmengine - INFO - Epoch(train) [139][3580/3757] lr: 1.2843e-03 eta: 17:53:40 time: 0.4211 data_time: 0.0223 memory: 17006 grad_norm: 10.6989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5148 loss: 1.5148 2022/07/30 00:40:23 - mmengine - INFO - Epoch(train) [139][3600/3757] lr: 1.2843e-03 eta: 17:53:31 time: 0.4210 data_time: 0.0177 memory: 17006 grad_norm: 10.6086 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4719 loss: 1.4719 2022/07/30 00:40:32 - mmengine - INFO - Epoch(train) [139][3620/3757] lr: 1.2843e-03 eta: 17:53:23 time: 0.4167 data_time: 0.0242 memory: 17006 grad_norm: 10.2899 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3830 loss: 1.3830 2022/07/30 00:40:40 - mmengine - INFO - Epoch(train) [139][3640/3757] lr: 1.2843e-03 eta: 17:53:15 time: 0.4334 data_time: 0.0181 memory: 17006 grad_norm: 10.3593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2582 loss: 1.2582 2022/07/30 00:40:49 - mmengine - INFO - Epoch(train) [139][3660/3757] lr: 1.2843e-03 eta: 17:53:06 time: 0.4074 data_time: 0.0238 memory: 17006 grad_norm: 10.6636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5977 loss: 1.5977 2022/07/30 00:40:57 - mmengine - INFO - Epoch(train) [139][3680/3757] lr: 1.2843e-03 eta: 17:52:58 time: 0.4055 data_time: 0.0187 memory: 17006 grad_norm: 10.6103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/07/30 00:41:05 - mmengine - INFO - Epoch(train) [139][3700/3757] lr: 1.2843e-03 eta: 17:52:49 time: 0.4058 data_time: 0.0207 memory: 17006 grad_norm: 10.6981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3954 loss: 1.3954 2022/07/30 00:41:14 - mmengine - INFO - Epoch(train) [139][3720/3757] lr: 1.2843e-03 eta: 17:52:42 time: 0.4560 data_time: 0.0191 memory: 17006 grad_norm: 10.4591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4018 loss: 1.4018 2022/07/30 00:41:22 - mmengine - INFO - Epoch(train) [139][3740/3757] lr: 1.2843e-03 eta: 17:52:33 time: 0.4060 data_time: 0.0213 memory: 17006 grad_norm: 10.4495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4274 loss: 1.4274 2022/07/30 00:41:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:41:29 - mmengine - INFO - Epoch(train) [139][3757/3757] lr: 1.2843e-03 eta: 17:52:33 time: 0.3955 data_time: 0.0176 memory: 17006 grad_norm: 10.6501 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6005 loss: 1.6005 2022/07/30 00:41:29 - mmengine - INFO - Saving checkpoint at 139 epochs 2022/07/30 00:41:42 - mmengine - INFO - Epoch(train) [140][20/3757] lr: 1.2265e-03 eta: 17:52:06 time: 0.4512 data_time: 0.0665 memory: 17006 grad_norm: 10.3145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2937 loss: 1.2937 2022/07/30 00:41:50 - mmengine - INFO - Epoch(train) [140][40/3757] lr: 1.2265e-03 eta: 17:51:58 time: 0.4169 data_time: 0.0249 memory: 17006 grad_norm: 10.0956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3896 loss: 1.3896 2022/07/30 00:41:58 - mmengine - INFO - Epoch(train) [140][60/3757] lr: 1.2265e-03 eta: 17:51:49 time: 0.4029 data_time: 0.0181 memory: 17006 grad_norm: 10.4647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4686 loss: 1.4686 2022/07/30 00:42:07 - mmengine - INFO - Epoch(train) [140][80/3757] lr: 1.2265e-03 eta: 17:51:40 time: 0.4064 data_time: 0.0215 memory: 17006 grad_norm: 10.1456 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3662 loss: 1.3662 2022/07/30 00:42:15 - mmengine - INFO - Epoch(train) [140][100/3757] lr: 1.2265e-03 eta: 17:51:32 time: 0.4157 data_time: 0.0207 memory: 17006 grad_norm: 10.1027 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5112 loss: 1.5112 2022/07/30 00:42:23 - mmengine - INFO - Epoch(train) [140][120/3757] lr: 1.2265e-03 eta: 17:51:23 time: 0.4055 data_time: 0.0211 memory: 17006 grad_norm: 10.3002 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7247 loss: 1.7247 2022/07/30 00:42:31 - mmengine - INFO - Epoch(train) [140][140/3757] lr: 1.2265e-03 eta: 17:51:14 time: 0.4150 data_time: 0.0234 memory: 17006 grad_norm: 10.0262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3369 loss: 1.3369 2022/07/30 00:42:40 - mmengine - INFO - Epoch(train) [140][160/3757] lr: 1.2265e-03 eta: 17:51:06 time: 0.4053 data_time: 0.0206 memory: 17006 grad_norm: 10.1926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3172 loss: 1.3172 2022/07/30 00:42:48 - mmengine - INFO - Epoch(train) [140][180/3757] lr: 1.2265e-03 eta: 17:50:57 time: 0.4043 data_time: 0.0201 memory: 17006 grad_norm: 10.5034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6115 loss: 1.6115 2022/07/30 00:42:56 - mmengine - INFO - Epoch(train) [140][200/3757] lr: 1.2265e-03 eta: 17:50:49 time: 0.4298 data_time: 0.0228 memory: 17006 grad_norm: 10.3479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2777 loss: 1.2777 2022/07/30 00:43:04 - mmengine - INFO - Epoch(train) [140][220/3757] lr: 1.2265e-03 eta: 17:50:40 time: 0.4035 data_time: 0.0189 memory: 17006 grad_norm: 10.6350 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3871 loss: 1.3871 2022/07/30 00:43:13 - mmengine - INFO - Epoch(train) [140][240/3757] lr: 1.2265e-03 eta: 17:50:32 time: 0.4273 data_time: 0.0234 memory: 17006 grad_norm: 9.9561 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2186 loss: 1.2186 2022/07/30 00:43:21 - mmengine - INFO - Epoch(train) [140][260/3757] lr: 1.2265e-03 eta: 17:50:23 time: 0.4029 data_time: 0.0181 memory: 17006 grad_norm: 10.6499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3668 loss: 1.3668 2022/07/30 00:43:30 - mmengine - INFO - Epoch(train) [140][280/3757] lr: 1.2265e-03 eta: 17:50:15 time: 0.4273 data_time: 0.0227 memory: 17006 grad_norm: 10.5473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2128 loss: 1.2128 2022/07/30 00:43:38 - mmengine - INFO - Epoch(train) [140][300/3757] lr: 1.2265e-03 eta: 17:50:06 time: 0.4040 data_time: 0.0195 memory: 17006 grad_norm: 10.6067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4172 loss: 1.4172 2022/07/30 00:43:46 - mmengine - INFO - Epoch(train) [140][320/3757] lr: 1.2265e-03 eta: 17:49:58 time: 0.4047 data_time: 0.0208 memory: 17006 grad_norm: 10.5391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5903 loss: 1.5903 2022/07/30 00:43:55 - mmengine - INFO - Epoch(train) [140][340/3757] lr: 1.2265e-03 eta: 17:49:51 time: 0.4771 data_time: 0.0259 memory: 17006 grad_norm: 10.2765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4632 loss: 1.4632 2022/07/30 00:44:04 - mmengine - INFO - Epoch(train) [140][360/3757] lr: 1.2265e-03 eta: 17:49:43 time: 0.4072 data_time: 0.0214 memory: 17006 grad_norm: 10.4600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4954 loss: 1.4954 2022/07/30 00:44:13 - mmengine - INFO - Epoch(train) [140][380/3757] lr: 1.2265e-03 eta: 17:49:36 time: 0.4545 data_time: 0.0205 memory: 17006 grad_norm: 10.3523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3882 loss: 1.3882 2022/07/30 00:44:21 - mmengine - INFO - Epoch(train) [140][400/3757] lr: 1.2265e-03 eta: 17:49:27 time: 0.4042 data_time: 0.0202 memory: 17006 grad_norm: 10.3946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1051 loss: 1.1051 2022/07/30 00:44:29 - mmengine - INFO - Epoch(train) [140][420/3757] lr: 1.2265e-03 eta: 17:49:18 time: 0.4181 data_time: 0.0234 memory: 17006 grad_norm: 10.2306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/07/30 00:44:37 - mmengine - INFO - Epoch(train) [140][440/3757] lr: 1.2265e-03 eta: 17:49:10 time: 0.4057 data_time: 0.0213 memory: 17006 grad_norm: 10.1148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3363 loss: 1.3363 2022/07/30 00:44:46 - mmengine - INFO - Epoch(train) [140][460/3757] lr: 1.2265e-03 eta: 17:49:01 time: 0.4118 data_time: 0.0215 memory: 17006 grad_norm: 10.1287 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4524 loss: 1.4524 2022/07/30 00:44:54 - mmengine - INFO - Epoch(train) [140][480/3757] lr: 1.2265e-03 eta: 17:48:53 time: 0.4203 data_time: 0.0203 memory: 17006 grad_norm: 10.4371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3432 loss: 1.3432 2022/07/30 00:45:02 - mmengine - INFO - Epoch(train) [140][500/3757] lr: 1.2265e-03 eta: 17:48:45 time: 0.4214 data_time: 0.0192 memory: 17006 grad_norm: 10.2040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5223 loss: 1.5223 2022/07/30 00:45:11 - mmengine - INFO - Epoch(train) [140][520/3757] lr: 1.2265e-03 eta: 17:48:36 time: 0.4102 data_time: 0.0218 memory: 17006 grad_norm: 10.2663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3922 loss: 1.3922 2022/07/30 00:45:19 - mmengine - INFO - Epoch(train) [140][540/3757] lr: 1.2265e-03 eta: 17:48:27 time: 0.4048 data_time: 0.0181 memory: 17006 grad_norm: 10.3815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5227 loss: 1.5227 2022/07/30 00:45:27 - mmengine - INFO - Epoch(train) [140][560/3757] lr: 1.2265e-03 eta: 17:48:19 time: 0.4303 data_time: 0.0307 memory: 17006 grad_norm: 10.1610 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2675 loss: 1.2675 2022/07/30 00:45:36 - mmengine - INFO - Epoch(train) [140][580/3757] lr: 1.2265e-03 eta: 17:48:11 time: 0.4313 data_time: 0.0195 memory: 17006 grad_norm: 9.8977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5265 loss: 1.5265 2022/07/30 00:45:45 - mmengine - INFO - Epoch(train) [140][600/3757] lr: 1.2265e-03 eta: 17:48:03 time: 0.4260 data_time: 0.0226 memory: 17006 grad_norm: 9.5574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1644 loss: 1.1644 2022/07/30 00:45:53 - mmengine - INFO - Epoch(train) [140][620/3757] lr: 1.2265e-03 eta: 17:47:55 time: 0.4074 data_time: 0.0201 memory: 17006 grad_norm: 10.8232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2694 loss: 1.2694 2022/07/30 00:46:02 - mmengine - INFO - Epoch(train) [140][640/3757] lr: 1.2265e-03 eta: 17:47:47 time: 0.4361 data_time: 0.0232 memory: 17006 grad_norm: 10.8629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7661 loss: 1.7661 2022/07/30 00:46:10 - mmengine - INFO - Epoch(train) [140][660/3757] lr: 1.2265e-03 eta: 17:47:38 time: 0.4094 data_time: 0.0202 memory: 17006 grad_norm: 9.9512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1613 loss: 1.1613 2022/07/30 00:46:18 - mmengine - INFO - Epoch(train) [140][680/3757] lr: 1.2265e-03 eta: 17:47:29 time: 0.4053 data_time: 0.0217 memory: 17006 grad_norm: 10.7103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4335 loss: 1.4335 2022/07/30 00:46:26 - mmengine - INFO - Epoch(train) [140][700/3757] lr: 1.2265e-03 eta: 17:47:21 time: 0.4261 data_time: 0.0190 memory: 17006 grad_norm: 10.7577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/07/30 00:46:35 - mmengine - INFO - Epoch(train) [140][720/3757] lr: 1.2265e-03 eta: 17:47:13 time: 0.4090 data_time: 0.0223 memory: 17006 grad_norm: 10.1508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3636 loss: 1.3636 2022/07/30 00:46:43 - mmengine - INFO - Epoch(train) [140][740/3757] lr: 1.2265e-03 eta: 17:47:05 time: 0.4239 data_time: 0.0214 memory: 17006 grad_norm: 9.6191 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3066 loss: 1.3066 2022/07/30 00:46:51 - mmengine - INFO - Epoch(train) [140][760/3757] lr: 1.2265e-03 eta: 17:46:56 time: 0.4093 data_time: 0.0228 memory: 17006 grad_norm: 10.3171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4829 loss: 1.4829 2022/07/30 00:46:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:47:00 - mmengine - INFO - Epoch(train) [140][780/3757] lr: 1.2265e-03 eta: 17:46:49 time: 0.4513 data_time: 0.0229 memory: 17006 grad_norm: 10.4972 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4998 loss: 1.4998 2022/07/30 00:47:09 - mmengine - INFO - Epoch(train) [140][800/3757] lr: 1.2265e-03 eta: 17:46:40 time: 0.4039 data_time: 0.0206 memory: 17006 grad_norm: 10.2866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4214 loss: 1.4214 2022/07/30 00:47:17 - mmengine - INFO - Epoch(train) [140][820/3757] lr: 1.2265e-03 eta: 17:46:31 time: 0.4075 data_time: 0.0188 memory: 17006 grad_norm: 10.3444 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5558 loss: 1.5558 2022/07/30 00:47:25 - mmengine - INFO - Epoch(train) [140][840/3757] lr: 1.2265e-03 eta: 17:46:23 time: 0.4278 data_time: 0.0224 memory: 17006 grad_norm: 10.4044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4055 loss: 1.4055 2022/07/30 00:47:33 - mmengine - INFO - Epoch(train) [140][860/3757] lr: 1.2265e-03 eta: 17:46:14 time: 0.4049 data_time: 0.0206 memory: 17006 grad_norm: 10.4602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5033 loss: 1.5033 2022/07/30 00:47:42 - mmengine - INFO - Epoch(train) [140][880/3757] lr: 1.2265e-03 eta: 17:46:07 time: 0.4446 data_time: 0.0227 memory: 17006 grad_norm: 10.3050 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3666 loss: 1.3666 2022/07/30 00:47:50 - mmengine - INFO - Epoch(train) [140][900/3757] lr: 1.2265e-03 eta: 17:45:58 time: 0.4050 data_time: 0.0206 memory: 17006 grad_norm: 10.3226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4898 loss: 1.4898 2022/07/30 00:47:59 - mmengine - INFO - Epoch(train) [140][920/3757] lr: 1.2265e-03 eta: 17:45:49 time: 0.4061 data_time: 0.0210 memory: 17006 grad_norm: 10.6254 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3262 loss: 1.3262 2022/07/30 00:48:07 - mmengine - INFO - Epoch(train) [140][940/3757] lr: 1.2265e-03 eta: 17:45:42 time: 0.4368 data_time: 0.0224 memory: 17006 grad_norm: 10.7360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3068 loss: 1.3068 2022/07/30 00:48:16 - mmengine - INFO - Epoch(train) [140][960/3757] lr: 1.2265e-03 eta: 17:45:33 time: 0.4078 data_time: 0.0222 memory: 17006 grad_norm: 10.0256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3984 loss: 1.3984 2022/07/30 00:48:24 - mmengine - INFO - Epoch(train) [140][980/3757] lr: 1.2265e-03 eta: 17:45:26 time: 0.4419 data_time: 0.0207 memory: 17006 grad_norm: 10.6665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5393 loss: 1.5393 2022/07/30 00:48:33 - mmengine - INFO - Epoch(train) [140][1000/3757] lr: 1.2265e-03 eta: 17:45:17 time: 0.4052 data_time: 0.0213 memory: 17006 grad_norm: 10.2972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4142 loss: 1.4142 2022/07/30 00:48:41 - mmengine - INFO - Epoch(train) [140][1020/3757] lr: 1.2265e-03 eta: 17:45:09 time: 0.4460 data_time: 0.0211 memory: 17006 grad_norm: 10.1514 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4952 loss: 1.4952 2022/07/30 00:48:50 - mmengine - INFO - Epoch(train) [140][1040/3757] lr: 1.2265e-03 eta: 17:45:01 time: 0.4181 data_time: 0.0213 memory: 17006 grad_norm: 10.7052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3554 loss: 1.3554 2022/07/30 00:48:58 - mmengine - INFO - Epoch(train) [140][1060/3757] lr: 1.2265e-03 eta: 17:44:52 time: 0.4031 data_time: 0.0194 memory: 17006 grad_norm: 10.5193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/07/30 00:49:07 - mmengine - INFO - Epoch(train) [140][1080/3757] lr: 1.2265e-03 eta: 17:44:44 time: 0.4312 data_time: 0.0259 memory: 17006 grad_norm: 10.5656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6414 loss: 1.6414 2022/07/30 00:49:15 - mmengine - INFO - Epoch(train) [140][1100/3757] lr: 1.2265e-03 eta: 17:44:36 time: 0.4114 data_time: 0.0195 memory: 17006 grad_norm: 10.4040 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4308 loss: 1.4308 2022/07/30 00:49:23 - mmengine - INFO - Epoch(train) [140][1120/3757] lr: 1.2265e-03 eta: 17:44:28 time: 0.4273 data_time: 0.0233 memory: 17006 grad_norm: 10.6661 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/07/30 00:49:32 - mmengine - INFO - Epoch(train) [140][1140/3757] lr: 1.2265e-03 eta: 17:44:19 time: 0.4155 data_time: 0.0200 memory: 17006 grad_norm: 11.0660 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7696 loss: 1.7696 2022/07/30 00:49:40 - mmengine - INFO - Epoch(train) [140][1160/3757] lr: 1.2265e-03 eta: 17:44:11 time: 0.4258 data_time: 0.0216 memory: 17006 grad_norm: 10.4863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1072 loss: 1.1072 2022/07/30 00:49:48 - mmengine - INFO - Epoch(train) [140][1180/3757] lr: 1.2265e-03 eta: 17:44:02 time: 0.4036 data_time: 0.0201 memory: 17006 grad_norm: 10.1499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5340 loss: 1.5340 2022/07/30 00:49:57 - mmengine - INFO - Epoch(train) [140][1200/3757] lr: 1.2265e-03 eta: 17:43:54 time: 0.4061 data_time: 0.0211 memory: 17006 grad_norm: 9.9121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4736 loss: 1.4736 2022/07/30 00:50:05 - mmengine - INFO - Epoch(train) [140][1220/3757] lr: 1.2265e-03 eta: 17:43:45 time: 0.4105 data_time: 0.0196 memory: 17006 grad_norm: 10.6406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/07/30 00:50:13 - mmengine - INFO - Epoch(train) [140][1240/3757] lr: 1.2265e-03 eta: 17:43:36 time: 0.4077 data_time: 0.0217 memory: 17006 grad_norm: 10.2839 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4659 loss: 1.4659 2022/07/30 00:50:21 - mmengine - INFO - Epoch(train) [140][1260/3757] lr: 1.2265e-03 eta: 17:43:28 time: 0.4200 data_time: 0.0204 memory: 17006 grad_norm: 10.2738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3979 loss: 1.3979 2022/07/30 00:50:30 - mmengine - INFO - Epoch(train) [140][1280/3757] lr: 1.2265e-03 eta: 17:43:19 time: 0.4053 data_time: 0.0204 memory: 17006 grad_norm: 10.3462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2310 loss: 1.2310 2022/07/30 00:50:38 - mmengine - INFO - Epoch(train) [140][1300/3757] lr: 1.2265e-03 eta: 17:43:11 time: 0.4243 data_time: 0.0183 memory: 17006 grad_norm: 10.2095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3684 loss: 1.3684 2022/07/30 00:50:47 - mmengine - INFO - Epoch(train) [140][1320/3757] lr: 1.2265e-03 eta: 17:43:03 time: 0.4268 data_time: 0.0222 memory: 17006 grad_norm: 10.3072 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3041 loss: 1.3041 2022/07/30 00:50:55 - mmengine - INFO - Epoch(train) [140][1340/3757] lr: 1.2265e-03 eta: 17:42:54 time: 0.4059 data_time: 0.0193 memory: 17006 grad_norm: 10.4093 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1883 loss: 1.1883 2022/07/30 00:51:04 - mmengine - INFO - Epoch(train) [140][1360/3757] lr: 1.2265e-03 eta: 17:42:47 time: 0.4530 data_time: 0.0217 memory: 17006 grad_norm: 10.2906 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3812 loss: 1.3812 2022/07/30 00:51:12 - mmengine - INFO - Epoch(train) [140][1380/3757] lr: 1.2265e-03 eta: 17:42:39 time: 0.4075 data_time: 0.0207 memory: 17006 grad_norm: 10.4625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4816 loss: 1.4816 2022/07/30 00:51:20 - mmengine - INFO - Epoch(train) [140][1400/3757] lr: 1.2265e-03 eta: 17:42:30 time: 0.4239 data_time: 0.0220 memory: 17006 grad_norm: 10.4134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/07/30 00:51:29 - mmengine - INFO - Epoch(train) [140][1420/3757] lr: 1.2265e-03 eta: 17:42:22 time: 0.4052 data_time: 0.0199 memory: 17006 grad_norm: 10.6825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3769 loss: 1.3769 2022/07/30 00:51:37 - mmengine - INFO - Epoch(train) [140][1440/3757] lr: 1.2265e-03 eta: 17:42:13 time: 0.4139 data_time: 0.0217 memory: 17006 grad_norm: 10.7214 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5176 loss: 1.5176 2022/07/30 00:51:45 - mmengine - INFO - Epoch(train) [140][1460/3757] lr: 1.2265e-03 eta: 17:42:05 time: 0.4269 data_time: 0.0215 memory: 17006 grad_norm: 10.8653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5002 loss: 1.5002 2022/07/30 00:51:54 - mmengine - INFO - Epoch(train) [140][1480/3757] lr: 1.2265e-03 eta: 17:41:58 time: 0.4465 data_time: 0.0225 memory: 17006 grad_norm: 9.8390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3683 loss: 1.3683 2022/07/30 00:52:03 - mmengine - INFO - Epoch(train) [140][1500/3757] lr: 1.2265e-03 eta: 17:41:50 time: 0.4340 data_time: 0.0203 memory: 17006 grad_norm: 10.2772 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4702 loss: 1.4702 2022/07/30 00:52:11 - mmengine - INFO - Epoch(train) [140][1520/3757] lr: 1.2265e-03 eta: 17:41:41 time: 0.4088 data_time: 0.0230 memory: 17006 grad_norm: 10.8638 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1427 loss: 1.1427 2022/07/30 00:52:19 - mmengine - INFO - Epoch(train) [140][1540/3757] lr: 1.2265e-03 eta: 17:41:32 time: 0.4042 data_time: 0.0195 memory: 17006 grad_norm: 10.6037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4392 loss: 1.4392 2022/07/30 00:52:28 - mmengine - INFO - Epoch(train) [140][1560/3757] lr: 1.2265e-03 eta: 17:41:24 time: 0.4191 data_time: 0.0335 memory: 17006 grad_norm: 10.5581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8091 loss: 1.8091 2022/07/30 00:52:37 - mmengine - INFO - Epoch(train) [140][1580/3757] lr: 1.2265e-03 eta: 17:41:17 time: 0.4516 data_time: 0.0237 memory: 17006 grad_norm: 10.7008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4662 loss: 1.4662 2022/07/30 00:52:45 - mmengine - INFO - Epoch(train) [140][1600/3757] lr: 1.2265e-03 eta: 17:41:09 time: 0.4172 data_time: 0.0217 memory: 17006 grad_norm: 10.8615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4851 loss: 1.4851 2022/07/30 00:52:53 - mmengine - INFO - Epoch(train) [140][1620/3757] lr: 1.2265e-03 eta: 17:41:00 time: 0.4064 data_time: 0.0201 memory: 17006 grad_norm: 10.7970 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3753 loss: 1.3753 2022/07/30 00:53:03 - mmengine - INFO - Epoch(train) [140][1640/3757] lr: 1.2265e-03 eta: 17:40:53 time: 0.4537 data_time: 0.0311 memory: 17006 grad_norm: 10.4941 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2832 loss: 1.2832 2022/07/30 00:53:11 - mmengine - INFO - Epoch(train) [140][1660/3757] lr: 1.2265e-03 eta: 17:40:44 time: 0.4046 data_time: 0.0197 memory: 17006 grad_norm: 9.9169 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4099 loss: 1.4099 2022/07/30 00:53:19 - mmengine - INFO - Epoch(train) [140][1680/3757] lr: 1.2265e-03 eta: 17:40:35 time: 0.4068 data_time: 0.0210 memory: 17006 grad_norm: 10.4939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1484 loss: 1.1484 2022/07/30 00:53:27 - mmengine - INFO - Epoch(train) [140][1700/3757] lr: 1.2265e-03 eta: 17:40:27 time: 0.4247 data_time: 0.0223 memory: 17006 grad_norm: 10.3368 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6681 loss: 1.6681 2022/07/30 00:53:35 - mmengine - INFO - Epoch(train) [140][1720/3757] lr: 1.2265e-03 eta: 17:40:18 time: 0.4059 data_time: 0.0219 memory: 17006 grad_norm: 10.7074 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3340 loss: 1.3340 2022/07/30 00:53:44 - mmengine - INFO - Epoch(train) [140][1740/3757] lr: 1.2265e-03 eta: 17:40:11 time: 0.4335 data_time: 0.0214 memory: 17006 grad_norm: 10.5426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3319 loss: 1.3319 2022/07/30 00:53:52 - mmengine - INFO - Epoch(train) [140][1760/3757] lr: 1.2265e-03 eta: 17:40:02 time: 0.4050 data_time: 0.0211 memory: 17006 grad_norm: 10.0809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1906 loss: 1.1906 2022/07/30 00:53:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 00:54:01 - mmengine - INFO - Epoch(train) [140][1780/3757] lr: 1.2265e-03 eta: 17:39:54 time: 0.4421 data_time: 0.0215 memory: 17006 grad_norm: 11.0256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6326 loss: 1.6326 2022/07/30 00:54:09 - mmengine - INFO - Epoch(train) [140][1800/3757] lr: 1.2265e-03 eta: 17:39:45 time: 0.4053 data_time: 0.0213 memory: 17006 grad_norm: 10.3290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2354 loss: 1.2354 2022/07/30 00:54:17 - mmengine - INFO - Epoch(train) [140][1820/3757] lr: 1.2265e-03 eta: 17:39:37 time: 0.4039 data_time: 0.0185 memory: 17006 grad_norm: 10.3000 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4493 loss: 1.4493 2022/07/30 00:54:26 - mmengine - INFO - Epoch(train) [140][1840/3757] lr: 1.2265e-03 eta: 17:39:29 time: 0.4243 data_time: 0.0216 memory: 17006 grad_norm: 10.3618 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5349 loss: 1.5349 2022/07/30 00:54:34 - mmengine - INFO - Epoch(train) [140][1860/3757] lr: 1.2265e-03 eta: 17:39:20 time: 0.4062 data_time: 0.0188 memory: 17006 grad_norm: 10.7136 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/07/30 00:54:44 - mmengine - INFO - Epoch(train) [140][1880/3757] lr: 1.2265e-03 eta: 17:39:14 time: 0.4779 data_time: 0.0230 memory: 17006 grad_norm: 10.2660 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1681 loss: 1.1681 2022/07/30 00:54:52 - mmengine - INFO - Epoch(train) [140][1900/3757] lr: 1.2265e-03 eta: 17:39:05 time: 0.4035 data_time: 0.0190 memory: 17006 grad_norm: 11.0483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4596 loss: 1.4596 2022/07/30 00:55:00 - mmengine - INFO - Epoch(train) [140][1920/3757] lr: 1.2265e-03 eta: 17:38:56 time: 0.4159 data_time: 0.0216 memory: 17006 grad_norm: 10.3713 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5720 loss: 1.5720 2022/07/30 00:55:09 - mmengine - INFO - Epoch(train) [140][1940/3757] lr: 1.2265e-03 eta: 17:38:49 time: 0.4418 data_time: 0.0198 memory: 17006 grad_norm: 10.3274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6192 loss: 1.6192 2022/07/30 00:55:17 - mmengine - INFO - Epoch(train) [140][1960/3757] lr: 1.2265e-03 eta: 17:38:40 time: 0.4033 data_time: 0.0197 memory: 17006 grad_norm: 10.5817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5182 loss: 1.5182 2022/07/30 00:55:26 - mmengine - INFO - Epoch(train) [140][1980/3757] lr: 1.2265e-03 eta: 17:38:33 time: 0.4655 data_time: 0.0231 memory: 17006 grad_norm: 10.7187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2655 loss: 1.2655 2022/07/30 00:55:34 - mmengine - INFO - Epoch(train) [140][2000/3757] lr: 1.2265e-03 eta: 17:38:24 time: 0.4053 data_time: 0.0209 memory: 17006 grad_norm: 10.4751 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4012 loss: 1.4012 2022/07/30 00:55:43 - mmengine - INFO - Epoch(train) [140][2020/3757] lr: 1.2265e-03 eta: 17:38:16 time: 0.4208 data_time: 0.0205 memory: 17006 grad_norm: 10.2749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5482 loss: 1.5482 2022/07/30 00:55:51 - mmengine - INFO - Epoch(train) [140][2040/3757] lr: 1.2265e-03 eta: 17:38:07 time: 0.4061 data_time: 0.0222 memory: 17006 grad_norm: 10.7970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5472 loss: 1.5472 2022/07/30 00:55:59 - mmengine - INFO - Epoch(train) [140][2060/3757] lr: 1.2265e-03 eta: 17:37:59 time: 0.4039 data_time: 0.0199 memory: 17006 grad_norm: 10.3016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3374 loss: 1.3374 2022/07/30 00:56:08 - mmengine - INFO - Epoch(train) [140][2080/3757] lr: 1.2265e-03 eta: 17:37:50 time: 0.4164 data_time: 0.0228 memory: 17006 grad_norm: 10.5367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/07/30 00:56:16 - mmengine - INFO - Epoch(train) [140][2100/3757] lr: 1.2265e-03 eta: 17:37:42 time: 0.4204 data_time: 0.0202 memory: 17006 grad_norm: 10.5532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4617 loss: 1.4617 2022/07/30 00:56:25 - mmengine - INFO - Epoch(train) [140][2120/3757] lr: 1.2265e-03 eta: 17:37:34 time: 0.4290 data_time: 0.0227 memory: 17006 grad_norm: 10.5367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4281 loss: 1.4281 2022/07/30 00:56:33 - mmengine - INFO - Epoch(train) [140][2140/3757] lr: 1.2265e-03 eta: 17:37:25 time: 0.4059 data_time: 0.0210 memory: 17006 grad_norm: 11.0288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/07/30 00:56:41 - mmengine - INFO - Epoch(train) [140][2160/3757] lr: 1.2265e-03 eta: 17:37:17 time: 0.4179 data_time: 0.0225 memory: 17006 grad_norm: 10.8603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3897 loss: 1.3897 2022/07/30 00:56:49 - mmengine - INFO - Epoch(train) [140][2180/3757] lr: 1.2265e-03 eta: 17:37:08 time: 0.4034 data_time: 0.0196 memory: 17006 grad_norm: 10.5914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7791 loss: 1.7791 2022/07/30 00:56:58 - mmengine - INFO - Epoch(train) [140][2200/3757] lr: 1.2265e-03 eta: 17:37:00 time: 0.4173 data_time: 0.0213 memory: 17006 grad_norm: 10.4132 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4788 loss: 1.4788 2022/07/30 00:57:06 - mmengine - INFO - Epoch(train) [140][2220/3757] lr: 1.2265e-03 eta: 17:36:51 time: 0.4155 data_time: 0.0202 memory: 17006 grad_norm: 9.9083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1916 loss: 1.1916 2022/07/30 00:57:15 - mmengine - INFO - Epoch(train) [140][2240/3757] lr: 1.2265e-03 eta: 17:36:44 time: 0.4531 data_time: 0.0220 memory: 17006 grad_norm: 10.7312 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7325 loss: 1.7325 2022/07/30 00:57:23 - mmengine - INFO - Epoch(train) [140][2260/3757] lr: 1.2265e-03 eta: 17:36:36 time: 0.4192 data_time: 0.0206 memory: 17006 grad_norm: 9.8313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4869 loss: 1.4869 2022/07/30 00:57:32 - mmengine - INFO - Epoch(train) [140][2280/3757] lr: 1.2265e-03 eta: 17:36:27 time: 0.4109 data_time: 0.0216 memory: 17006 grad_norm: 10.3067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4870 loss: 1.4870 2022/07/30 00:57:40 - mmengine - INFO - Epoch(train) [140][2300/3757] lr: 1.2265e-03 eta: 17:36:18 time: 0.4059 data_time: 0.0187 memory: 17006 grad_norm: 10.3880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3915 loss: 1.3915 2022/07/30 00:57:48 - mmengine - INFO - Epoch(train) [140][2320/3757] lr: 1.2265e-03 eta: 17:36:10 time: 0.4118 data_time: 0.0214 memory: 17006 grad_norm: 10.7280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/07/30 00:57:57 - mmengine - INFO - Epoch(train) [140][2340/3757] lr: 1.2265e-03 eta: 17:36:02 time: 0.4221 data_time: 0.0191 memory: 17006 grad_norm: 10.1768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3131 loss: 1.3131 2022/07/30 00:58:05 - mmengine - INFO - Epoch(train) [140][2360/3757] lr: 1.2265e-03 eta: 17:35:53 time: 0.4194 data_time: 0.0245 memory: 17006 grad_norm: 10.5665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/07/30 00:58:13 - mmengine - INFO - Epoch(train) [140][2380/3757] lr: 1.2265e-03 eta: 17:35:45 time: 0.4110 data_time: 0.0184 memory: 17006 grad_norm: 10.5139 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 1.4839 loss: 1.4839 2022/07/30 00:58:22 - mmengine - INFO - Epoch(train) [140][2400/3757] lr: 1.2265e-03 eta: 17:35:36 time: 0.4142 data_time: 0.0238 memory: 17006 grad_norm: 10.1376 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4651 loss: 1.4651 2022/07/30 00:58:30 - mmengine - INFO - Epoch(train) [140][2420/3757] lr: 1.2265e-03 eta: 17:35:27 time: 0.4034 data_time: 0.0190 memory: 17006 grad_norm: 10.0316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2163 loss: 1.2163 2022/07/30 00:58:38 - mmengine - INFO - Epoch(train) [140][2440/3757] lr: 1.2265e-03 eta: 17:35:19 time: 0.4197 data_time: 0.0201 memory: 17006 grad_norm: 10.5004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4132 loss: 1.4132 2022/07/30 00:58:47 - mmengine - INFO - Epoch(train) [140][2460/3757] lr: 1.2265e-03 eta: 17:35:11 time: 0.4359 data_time: 0.0205 memory: 17006 grad_norm: 10.7785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5474 loss: 1.5474 2022/07/30 00:58:55 - mmengine - INFO - Epoch(train) [140][2480/3757] lr: 1.2265e-03 eta: 17:35:03 time: 0.4058 data_time: 0.0208 memory: 17006 grad_norm: 10.3649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/07/30 00:59:03 - mmengine - INFO - Epoch(train) [140][2500/3757] lr: 1.2265e-03 eta: 17:34:55 time: 0.4234 data_time: 0.0231 memory: 17006 grad_norm: 10.6732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5526 loss: 1.5526 2022/07/30 00:59:12 - mmengine - INFO - Epoch(train) [140][2520/3757] lr: 1.2265e-03 eta: 17:34:46 time: 0.4090 data_time: 0.0217 memory: 17006 grad_norm: 10.7471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4226 loss: 1.4226 2022/07/30 00:59:20 - mmengine - INFO - Epoch(train) [140][2540/3757] lr: 1.2265e-03 eta: 17:34:37 time: 0.4037 data_time: 0.0192 memory: 17006 grad_norm: 10.2456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1573 loss: 1.1573 2022/07/30 00:59:28 - mmengine - INFO - Epoch(train) [140][2560/3757] lr: 1.2265e-03 eta: 17:34:29 time: 0.4246 data_time: 0.0219 memory: 17006 grad_norm: 11.0447 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4131 loss: 1.4131 2022/07/30 00:59:36 - mmengine - INFO - Epoch(train) [140][2580/3757] lr: 1.2265e-03 eta: 17:34:20 time: 0.4041 data_time: 0.0186 memory: 17006 grad_norm: 10.5607 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/07/30 00:59:45 - mmengine - INFO - Epoch(train) [140][2600/3757] lr: 1.2265e-03 eta: 17:34:12 time: 0.4228 data_time: 0.0227 memory: 17006 grad_norm: 10.2754 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5943 loss: 1.5943 2022/07/30 00:59:53 - mmengine - INFO - Epoch(train) [140][2620/3757] lr: 1.2265e-03 eta: 17:34:03 time: 0.4127 data_time: 0.0199 memory: 17006 grad_norm: 10.6670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5018 loss: 1.5018 2022/07/30 01:00:02 - mmengine - INFO - Epoch(train) [140][2640/3757] lr: 1.2265e-03 eta: 17:33:56 time: 0.4427 data_time: 0.0234 memory: 17006 grad_norm: 10.2625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5509 loss: 1.5509 2022/07/30 01:00:10 - mmengine - INFO - Epoch(train) [140][2660/3757] lr: 1.2265e-03 eta: 17:33:47 time: 0.4039 data_time: 0.0205 memory: 17006 grad_norm: 9.9364 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4658 loss: 1.4658 2022/07/30 01:00:19 - mmengine - INFO - Epoch(train) [140][2680/3757] lr: 1.2265e-03 eta: 17:33:40 time: 0.4463 data_time: 0.0197 memory: 17006 grad_norm: 11.0266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5668 loss: 1.5668 2022/07/30 01:00:28 - mmengine - INFO - Epoch(train) [140][2700/3757] lr: 1.2265e-03 eta: 17:33:33 time: 0.4533 data_time: 0.0192 memory: 17006 grad_norm: 10.5786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5386 loss: 1.5386 2022/07/30 01:00:36 - mmengine - INFO - Epoch(train) [140][2720/3757] lr: 1.2265e-03 eta: 17:33:24 time: 0.4062 data_time: 0.0209 memory: 17006 grad_norm: 10.8812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4811 loss: 1.4811 2022/07/30 01:00:45 - mmengine - INFO - Epoch(train) [140][2740/3757] lr: 1.2265e-03 eta: 17:33:16 time: 0.4410 data_time: 0.0208 memory: 17006 grad_norm: 10.4233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5128 loss: 1.5128 2022/07/30 01:00:53 - mmengine - INFO - Epoch(train) [140][2760/3757] lr: 1.2265e-03 eta: 17:33:08 time: 0.4069 data_time: 0.0212 memory: 17006 grad_norm: 10.9459 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6287 loss: 1.6287 2022/07/30 01:01:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:01:02 - mmengine - INFO - Epoch(train) [140][2780/3757] lr: 1.2265e-03 eta: 17:33:00 time: 0.4325 data_time: 0.0221 memory: 17006 grad_norm: 10.4308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2517 loss: 1.2517 2022/07/30 01:01:10 - mmengine - INFO - Epoch(train) [140][2800/3757] lr: 1.2265e-03 eta: 17:32:51 time: 0.4048 data_time: 0.0206 memory: 17006 grad_norm: 10.3502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3449 loss: 1.3449 2022/07/30 01:01:18 - mmengine - INFO - Epoch(train) [140][2820/3757] lr: 1.2265e-03 eta: 17:32:42 time: 0.4052 data_time: 0.0190 memory: 17006 grad_norm: 10.4483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5155 loss: 1.5155 2022/07/30 01:01:27 - mmengine - INFO - Epoch(train) [140][2840/3757] lr: 1.2265e-03 eta: 17:32:34 time: 0.4155 data_time: 0.0223 memory: 17006 grad_norm: 10.1556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4488 loss: 1.4488 2022/07/30 01:01:35 - mmengine - INFO - Epoch(train) [140][2860/3757] lr: 1.2265e-03 eta: 17:32:25 time: 0.4073 data_time: 0.0185 memory: 17006 grad_norm: 11.2566 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5337 loss: 1.5337 2022/07/30 01:01:44 - mmengine - INFO - Epoch(train) [140][2880/3757] lr: 1.2265e-03 eta: 17:32:18 time: 0.4456 data_time: 0.0221 memory: 17006 grad_norm: 10.8779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4091 loss: 1.4091 2022/07/30 01:01:52 - mmengine - INFO - Epoch(train) [140][2900/3757] lr: 1.2265e-03 eta: 17:32:09 time: 0.4044 data_time: 0.0187 memory: 17006 grad_norm: 10.3951 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0924 loss: 1.0924 2022/07/30 01:02:00 - mmengine - INFO - Epoch(train) [140][2920/3757] lr: 1.2265e-03 eta: 17:32:00 time: 0.4037 data_time: 0.0206 memory: 17006 grad_norm: 10.4531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5533 loss: 1.5533 2022/07/30 01:02:09 - mmengine - INFO - Epoch(train) [140][2940/3757] lr: 1.2265e-03 eta: 17:31:54 time: 0.4755 data_time: 0.0199 memory: 17006 grad_norm: 11.0619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2134 loss: 1.2134 2022/07/30 01:02:18 - mmengine - INFO - Epoch(train) [140][2960/3757] lr: 1.2265e-03 eta: 17:31:45 time: 0.4075 data_time: 0.0212 memory: 17006 grad_norm: 10.5714 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.3339 loss: 1.3339 2022/07/30 01:02:26 - mmengine - INFO - Epoch(train) [140][2980/3757] lr: 1.2265e-03 eta: 17:31:37 time: 0.4349 data_time: 0.0184 memory: 17006 grad_norm: 10.2822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3317 loss: 1.3317 2022/07/30 01:02:34 - mmengine - INFO - Epoch(train) [140][3000/3757] lr: 1.2265e-03 eta: 17:31:28 time: 0.4055 data_time: 0.0216 memory: 17006 grad_norm: 10.6145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2785 loss: 1.2785 2022/07/30 01:02:43 - mmengine - INFO - Epoch(train) [140][3020/3757] lr: 1.2265e-03 eta: 17:31:20 time: 0.4166 data_time: 0.0213 memory: 17006 grad_norm: 10.4130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/07/30 01:02:51 - mmengine - INFO - Epoch(train) [140][3040/3757] lr: 1.2265e-03 eta: 17:31:11 time: 0.4057 data_time: 0.0213 memory: 17006 grad_norm: 10.4531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4417 loss: 1.4417 2022/07/30 01:02:59 - mmengine - INFO - Epoch(train) [140][3060/3757] lr: 1.2265e-03 eta: 17:31:02 time: 0.4041 data_time: 0.0186 memory: 17006 grad_norm: 10.6431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3761 loss: 1.3761 2022/07/30 01:03:08 - mmengine - INFO - Epoch(train) [140][3080/3757] lr: 1.2265e-03 eta: 17:30:54 time: 0.4254 data_time: 0.0221 memory: 17006 grad_norm: 10.8856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5332 loss: 1.5332 2022/07/30 01:03:16 - mmengine - INFO - Epoch(train) [140][3100/3757] lr: 1.2265e-03 eta: 17:30:45 time: 0.4056 data_time: 0.0188 memory: 17006 grad_norm: 10.0302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2377 loss: 1.2377 2022/07/30 01:03:25 - mmengine - INFO - Epoch(train) [140][3120/3757] lr: 1.2265e-03 eta: 17:30:38 time: 0.4419 data_time: 0.0228 memory: 17006 grad_norm: 10.4678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2097 loss: 1.2097 2022/07/30 01:03:33 - mmengine - INFO - Epoch(train) [140][3140/3757] lr: 1.2265e-03 eta: 17:30:30 time: 0.4197 data_time: 0.0184 memory: 17006 grad_norm: 10.4967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5853 loss: 1.5853 2022/07/30 01:03:41 - mmengine - INFO - Epoch(train) [140][3160/3757] lr: 1.2265e-03 eta: 17:30:21 time: 0.4066 data_time: 0.0211 memory: 17006 grad_norm: 10.6344 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4194 loss: 1.4194 2022/07/30 01:03:49 - mmengine - INFO - Epoch(train) [140][3180/3757] lr: 1.2265e-03 eta: 17:30:12 time: 0.4042 data_time: 0.0193 memory: 17006 grad_norm: 10.5215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3664 loss: 1.3664 2022/07/30 01:03:58 - mmengine - INFO - Epoch(train) [140][3200/3757] lr: 1.2265e-03 eta: 17:30:04 time: 0.4136 data_time: 0.0214 memory: 17006 grad_norm: 10.7775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5568 loss: 1.5568 2022/07/30 01:04:06 - mmengine - INFO - Epoch(train) [140][3220/3757] lr: 1.2265e-03 eta: 17:29:55 time: 0.4067 data_time: 0.0200 memory: 17006 grad_norm: 10.6963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5831 loss: 1.5831 2022/07/30 01:04:14 - mmengine - INFO - Epoch(train) [140][3240/3757] lr: 1.2265e-03 eta: 17:29:46 time: 0.4114 data_time: 0.0217 memory: 17006 grad_norm: 10.0318 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5849 loss: 1.5849 2022/07/30 01:04:22 - mmengine - INFO - Epoch(train) [140][3260/3757] lr: 1.2265e-03 eta: 17:29:38 time: 0.4122 data_time: 0.0198 memory: 17006 grad_norm: 10.4713 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.4167 loss: 1.4167 2022/07/30 01:04:30 - mmengine - INFO - Epoch(train) [140][3280/3757] lr: 1.2265e-03 eta: 17:29:29 time: 0.4047 data_time: 0.0203 memory: 17006 grad_norm: 11.0044 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6318 loss: 1.6318 2022/07/30 01:04:39 - mmengine - INFO - Epoch(train) [140][3300/3757] lr: 1.2265e-03 eta: 17:29:21 time: 0.4398 data_time: 0.0203 memory: 17006 grad_norm: 10.2018 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3395 loss: 1.3395 2022/07/30 01:04:48 - mmengine - INFO - Epoch(train) [140][3320/3757] lr: 1.2265e-03 eta: 17:29:13 time: 0.4185 data_time: 0.0231 memory: 17006 grad_norm: 11.0132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3729 loss: 1.3729 2022/07/30 01:04:57 - mmengine - INFO - Epoch(train) [140][3340/3757] lr: 1.2265e-03 eta: 17:29:06 time: 0.4535 data_time: 0.0212 memory: 17006 grad_norm: 10.8244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4442 loss: 1.4442 2022/07/30 01:05:05 - mmengine - INFO - Epoch(train) [140][3360/3757] lr: 1.2265e-03 eta: 17:28:58 time: 0.4253 data_time: 0.0238 memory: 17006 grad_norm: 10.5866 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4710 loss: 1.4710 2022/07/30 01:05:14 - mmengine - INFO - Epoch(train) [140][3380/3757] lr: 1.2265e-03 eta: 17:28:49 time: 0.4170 data_time: 0.0199 memory: 17006 grad_norm: 9.8338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2154 loss: 1.2154 2022/07/30 01:05:22 - mmengine - INFO - Epoch(train) [140][3400/3757] lr: 1.2265e-03 eta: 17:28:41 time: 0.4208 data_time: 0.0226 memory: 17006 grad_norm: 10.2122 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3893 loss: 1.3893 2022/07/30 01:05:30 - mmengine - INFO - Epoch(train) [140][3420/3757] lr: 1.2265e-03 eta: 17:28:32 time: 0.4044 data_time: 0.0209 memory: 17006 grad_norm: 10.5943 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3100 loss: 1.3100 2022/07/30 01:05:38 - mmengine - INFO - Epoch(train) [140][3440/3757] lr: 1.2265e-03 eta: 17:28:24 time: 0.4072 data_time: 0.0220 memory: 17006 grad_norm: 10.2020 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3463 loss: 1.3463 2022/07/30 01:05:47 - mmengine - INFO - Epoch(train) [140][3460/3757] lr: 1.2265e-03 eta: 17:28:15 time: 0.4182 data_time: 0.0209 memory: 17006 grad_norm: 9.9155 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4268 loss: 1.4268 2022/07/30 01:05:56 - mmengine - INFO - Epoch(train) [140][3480/3757] lr: 1.2265e-03 eta: 17:28:08 time: 0.4447 data_time: 0.0207 memory: 17006 grad_norm: 10.1453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3654 loss: 1.3654 2022/07/30 01:06:04 - mmengine - INFO - Epoch(train) [140][3500/3757] lr: 1.2265e-03 eta: 17:28:00 time: 0.4241 data_time: 0.0205 memory: 17006 grad_norm: 11.0234 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8165 loss: 1.8165 2022/07/30 01:06:12 - mmengine - INFO - Epoch(train) [140][3520/3757] lr: 1.2265e-03 eta: 17:27:51 time: 0.4112 data_time: 0.0224 memory: 17006 grad_norm: 10.8108 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4285 loss: 1.4285 2022/07/30 01:06:20 - mmengine - INFO - Epoch(train) [140][3540/3757] lr: 1.2265e-03 eta: 17:27:42 time: 0.4049 data_time: 0.0207 memory: 17006 grad_norm: 10.3966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6804 loss: 1.6804 2022/07/30 01:06:30 - mmengine - INFO - Epoch(train) [140][3560/3757] lr: 1.2265e-03 eta: 17:27:35 time: 0.4513 data_time: 0.0229 memory: 17006 grad_norm: 10.1574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4814 loss: 1.4814 2022/07/30 01:06:38 - mmengine - INFO - Epoch(train) [140][3580/3757] lr: 1.2265e-03 eta: 17:27:26 time: 0.4028 data_time: 0.0184 memory: 17006 grad_norm: 10.5611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7106 loss: 1.7106 2022/07/30 01:06:47 - mmengine - INFO - Epoch(train) [140][3600/3757] lr: 1.2265e-03 eta: 17:27:20 time: 0.4821 data_time: 0.0257 memory: 17006 grad_norm: 10.5333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7440 loss: 1.7440 2022/07/30 01:06:55 - mmengine - INFO - Epoch(train) [140][3620/3757] lr: 1.2265e-03 eta: 17:27:11 time: 0.4036 data_time: 0.0197 memory: 17006 grad_norm: 10.1313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5401 loss: 1.5401 2022/07/30 01:07:04 - mmengine - INFO - Epoch(train) [140][3640/3757] lr: 1.2265e-03 eta: 17:27:03 time: 0.4309 data_time: 0.0241 memory: 17006 grad_norm: 11.1930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3571 loss: 1.3571 2022/07/30 01:07:12 - mmengine - INFO - Epoch(train) [140][3660/3757] lr: 1.2265e-03 eta: 17:26:55 time: 0.4045 data_time: 0.0187 memory: 17006 grad_norm: 10.0453 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3613 loss: 1.3613 2022/07/30 01:07:20 - mmengine - INFO - Epoch(train) [140][3680/3757] lr: 1.2265e-03 eta: 17:26:46 time: 0.4077 data_time: 0.0234 memory: 17006 grad_norm: 10.8255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3415 loss: 1.3415 2022/07/30 01:07:29 - mmengine - INFO - Epoch(train) [140][3700/3757] lr: 1.2265e-03 eta: 17:26:38 time: 0.4342 data_time: 0.0212 memory: 17006 grad_norm: 10.2474 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1411 loss: 1.1411 2022/07/30 01:07:37 - mmengine - INFO - Epoch(train) [140][3720/3757] lr: 1.2265e-03 eta: 17:26:29 time: 0.4062 data_time: 0.0229 memory: 17006 grad_norm: 10.0950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2038 loss: 1.2038 2022/07/30 01:07:46 - mmengine - INFO - Epoch(train) [140][3740/3757] lr: 1.2265e-03 eta: 17:26:22 time: 0.4460 data_time: 0.0208 memory: 17006 grad_norm: 10.3054 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3456 loss: 1.3456 2022/07/30 01:07:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:07:53 - mmengine - INFO - Epoch(train) [140][3757/3757] lr: 1.2265e-03 eta: 17:26:22 time: 0.3999 data_time: 0.0194 memory: 17006 grad_norm: 10.8088 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.3010 loss: 1.3010 2022/07/30 01:07:53 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/07/30 01:08:03 - mmengine - INFO - Epoch(val) [140][20/310] eta: 0:01:38 time: 0.3412 data_time: 0.2181 memory: 3958 2022/07/30 01:08:07 - mmengine - INFO - Epoch(val) [140][40/310] eta: 0:00:52 time: 0.1960 data_time: 0.0746 memory: 3958 2022/07/30 01:08:12 - mmengine - INFO - Epoch(val) [140][60/310] eta: 0:00:56 time: 0.2278 data_time: 0.1034 memory: 3958 2022/07/30 01:08:16 - mmengine - INFO - Epoch(val) [140][80/310] eta: 0:00:49 time: 0.2161 data_time: 0.0958 memory: 3958 2022/07/30 01:08:20 - mmengine - INFO - Epoch(val) [140][100/310] eta: 0:00:45 time: 0.2169 data_time: 0.0979 memory: 3958 2022/07/30 01:08:25 - mmengine - INFO - Epoch(val) [140][120/310] eta: 0:00:41 time: 0.2163 data_time: 0.0967 memory: 3958 2022/07/30 01:08:30 - mmengine - INFO - Epoch(val) [140][140/310] eta: 0:00:41 time: 0.2421 data_time: 0.1222 memory: 3958 2022/07/30 01:08:34 - mmengine - INFO - Epoch(val) [140][160/310] eta: 0:00:34 time: 0.2279 data_time: 0.1074 memory: 3958 2022/07/30 01:08:39 - mmengine - INFO - Epoch(val) [140][180/310] eta: 0:00:31 time: 0.2399 data_time: 0.1160 memory: 3958 2022/07/30 01:08:43 - mmengine - INFO - Epoch(val) [140][200/310] eta: 0:00:21 time: 0.1910 data_time: 0.0700 memory: 3958 2022/07/30 01:08:47 - mmengine - INFO - Epoch(val) [140][220/310] eta: 0:00:19 time: 0.2147 data_time: 0.0918 memory: 3958 2022/07/30 01:08:51 - mmengine - INFO - Epoch(val) [140][240/310] eta: 0:00:13 time: 0.1954 data_time: 0.0754 memory: 3958 2022/07/30 01:08:56 - mmengine - INFO - Epoch(val) [140][260/310] eta: 0:00:11 time: 0.2231 data_time: 0.0769 memory: 3958 2022/07/30 01:09:00 - mmengine - INFO - Epoch(val) [140][280/310] eta: 0:00:06 time: 0.2033 data_time: 0.0805 memory: 3958 2022/07/30 01:09:03 - mmengine - INFO - Epoch(val) [140][300/310] eta: 0:00:01 time: 0.1607 data_time: 0.0541 memory: 3958 2022/07/30 01:09:05 - mmengine - INFO - Epoch(val) [140][310/310] acc/top1: 0.6573 acc/top5: 0.8628 acc/mean1: 0.6572 2022/07/30 01:09:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/best_acc/top1_epoch_121.pth is removed 2022/07/30 01:09:07 - mmengine - INFO - The best checkpoint with 0.6573 acc/top1 at 141 epoch is saved to best_acc/top1_epoch_141.pth. 2022/07/30 01:09:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:09:17 - mmengine - INFO - Epoch(train) [141][20/3757] lr: 1.1698e-03 eta: 17:25:57 time: 0.4958 data_time: 0.0904 memory: 17006 grad_norm: 10.7890 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2886 loss: 1.2886 2022/07/30 01:09:26 - mmengine - INFO - Epoch(train) [141][40/3757] lr: 1.1698e-03 eta: 17:25:49 time: 0.4178 data_time: 0.0224 memory: 17006 grad_norm: 10.4816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5076 loss: 1.5076 2022/07/30 01:09:34 - mmengine - INFO - Epoch(train) [141][60/3757] lr: 1.1698e-03 eta: 17:25:40 time: 0.4041 data_time: 0.0174 memory: 17006 grad_norm: 10.2179 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5655 loss: 1.5655 2022/07/30 01:09:42 - mmengine - INFO - Epoch(train) [141][80/3757] lr: 1.1698e-03 eta: 17:25:32 time: 0.4305 data_time: 0.0289 memory: 17006 grad_norm: 10.7674 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4105 loss: 1.4105 2022/07/30 01:09:51 - mmengine - INFO - Epoch(train) [141][100/3757] lr: 1.1698e-03 eta: 17:25:23 time: 0.4026 data_time: 0.0175 memory: 17006 grad_norm: 10.6524 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5944 loss: 1.5944 2022/07/30 01:09:59 - mmengine - INFO - Epoch(train) [141][120/3757] lr: 1.1698e-03 eta: 17:25:15 time: 0.4074 data_time: 0.0228 memory: 17006 grad_norm: 10.5006 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2717 loss: 1.2717 2022/07/30 01:10:07 - mmengine - INFO - Epoch(train) [141][140/3757] lr: 1.1698e-03 eta: 17:25:07 time: 0.4321 data_time: 0.0196 memory: 17006 grad_norm: 10.4097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2994 loss: 1.2994 2022/07/30 01:10:16 - mmengine - INFO - Epoch(train) [141][160/3757] lr: 1.1698e-03 eta: 17:24:58 time: 0.4107 data_time: 0.0235 memory: 17006 grad_norm: 9.9025 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/07/30 01:10:24 - mmengine - INFO - Epoch(train) [141][180/3757] lr: 1.1698e-03 eta: 17:24:50 time: 0.4244 data_time: 0.0192 memory: 17006 grad_norm: 10.3908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2407 loss: 1.2407 2022/07/30 01:10:32 - mmengine - INFO - Epoch(train) [141][200/3757] lr: 1.1698e-03 eta: 17:24:41 time: 0.4089 data_time: 0.0227 memory: 17006 grad_norm: 10.4992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1134 loss: 1.1134 2022/07/30 01:10:40 - mmengine - INFO - Epoch(train) [141][220/3757] lr: 1.1698e-03 eta: 17:24:33 time: 0.4038 data_time: 0.0179 memory: 17006 grad_norm: 10.2811 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3108 loss: 1.3108 2022/07/30 01:10:49 - mmengine - INFO - Epoch(train) [141][240/3757] lr: 1.1698e-03 eta: 17:24:24 time: 0.4249 data_time: 0.0222 memory: 17006 grad_norm: 10.5155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5075 loss: 1.5075 2022/07/30 01:10:57 - mmengine - INFO - Epoch(train) [141][260/3757] lr: 1.1698e-03 eta: 17:24:16 time: 0.4066 data_time: 0.0191 memory: 17006 grad_norm: 10.3408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2857 loss: 1.2857 2022/07/30 01:11:05 - mmengine - INFO - Epoch(train) [141][280/3757] lr: 1.1698e-03 eta: 17:24:07 time: 0.4122 data_time: 0.0207 memory: 17006 grad_norm: 10.5303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4312 loss: 1.4312 2022/07/30 01:11:14 - mmengine - INFO - Epoch(train) [141][300/3757] lr: 1.1698e-03 eta: 17:23:59 time: 0.4085 data_time: 0.0187 memory: 17006 grad_norm: 10.6356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6547 loss: 1.6547 2022/07/30 01:11:22 - mmengine - INFO - Epoch(train) [141][320/3757] lr: 1.1698e-03 eta: 17:23:51 time: 0.4306 data_time: 0.0217 memory: 17006 grad_norm: 10.1757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2522 loss: 1.2522 2022/07/30 01:11:30 - mmengine - INFO - Epoch(train) [141][340/3757] lr: 1.1698e-03 eta: 17:23:42 time: 0.4040 data_time: 0.0175 memory: 17006 grad_norm: 10.5625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4781 loss: 1.4781 2022/07/30 01:11:39 - mmengine - INFO - Epoch(train) [141][360/3757] lr: 1.1698e-03 eta: 17:23:33 time: 0.4081 data_time: 0.0223 memory: 17006 grad_norm: 10.6262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4610 loss: 1.4610 2022/07/30 01:11:47 - mmengine - INFO - Epoch(train) [141][380/3757] lr: 1.1698e-03 eta: 17:23:25 time: 0.4283 data_time: 0.0186 memory: 17006 grad_norm: 10.4487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6601 loss: 1.6601 2022/07/30 01:11:55 - mmengine - INFO - Epoch(train) [141][400/3757] lr: 1.1698e-03 eta: 17:23:16 time: 0.4078 data_time: 0.0224 memory: 17006 grad_norm: 10.2624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6424 loss: 1.6424 2022/07/30 01:12:04 - mmengine - INFO - Epoch(train) [141][420/3757] lr: 1.1698e-03 eta: 17:23:09 time: 0.4330 data_time: 0.0241 memory: 17006 grad_norm: 10.4275 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3385 loss: 1.3385 2022/07/30 01:12:12 - mmengine - INFO - Epoch(train) [141][440/3757] lr: 1.1698e-03 eta: 17:23:00 time: 0.4079 data_time: 0.0226 memory: 17006 grad_norm: 10.7584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5532 loss: 1.5532 2022/07/30 01:12:20 - mmengine - INFO - Epoch(train) [141][460/3757] lr: 1.1698e-03 eta: 17:22:51 time: 0.4039 data_time: 0.0178 memory: 17006 grad_norm: 11.1158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6429 loss: 1.6429 2022/07/30 01:12:29 - mmengine - INFO - Epoch(train) [141][480/3757] lr: 1.1698e-03 eta: 17:22:43 time: 0.4339 data_time: 0.0213 memory: 17006 grad_norm: 10.3348 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6528 loss: 1.6528 2022/07/30 01:12:37 - mmengine - INFO - Epoch(train) [141][500/3757] lr: 1.1698e-03 eta: 17:22:35 time: 0.4073 data_time: 0.0200 memory: 17006 grad_norm: 10.6120 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1050 loss: 1.1050 2022/07/30 01:12:46 - mmengine - INFO - Epoch(train) [141][520/3757] lr: 1.1698e-03 eta: 17:22:27 time: 0.4270 data_time: 0.0228 memory: 17006 grad_norm: 10.5019 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4839 loss: 1.4839 2022/07/30 01:12:54 - mmengine - INFO - Epoch(train) [141][540/3757] lr: 1.1698e-03 eta: 17:22:18 time: 0.4056 data_time: 0.0201 memory: 17006 grad_norm: 10.6108 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5874 loss: 1.5874 2022/07/30 01:13:03 - mmengine - INFO - Epoch(train) [141][560/3757] lr: 1.1698e-03 eta: 17:22:10 time: 0.4481 data_time: 0.0219 memory: 17006 grad_norm: 10.5569 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2864 loss: 1.2864 2022/07/30 01:13:11 - mmengine - INFO - Epoch(train) [141][580/3757] lr: 1.1698e-03 eta: 17:22:02 time: 0.4026 data_time: 0.0171 memory: 17006 grad_norm: 10.5157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3054 loss: 1.3054 2022/07/30 01:13:19 - mmengine - INFO - Epoch(train) [141][600/3757] lr: 1.1698e-03 eta: 17:21:53 time: 0.4091 data_time: 0.0229 memory: 17006 grad_norm: 10.6730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2667 loss: 1.2667 2022/07/30 01:13:28 - mmengine - INFO - Epoch(train) [141][620/3757] lr: 1.1698e-03 eta: 17:21:45 time: 0.4202 data_time: 0.0192 memory: 17006 grad_norm: 10.5672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4225 loss: 1.4225 2022/07/30 01:13:36 - mmengine - INFO - Epoch(train) [141][640/3757] lr: 1.1698e-03 eta: 17:21:36 time: 0.4090 data_time: 0.0228 memory: 17006 grad_norm: 10.1542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4871 loss: 1.4871 2022/07/30 01:13:44 - mmengine - INFO - Epoch(train) [141][660/3757] lr: 1.1698e-03 eta: 17:21:28 time: 0.4201 data_time: 0.0195 memory: 17006 grad_norm: 10.1902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4690 loss: 1.4690 2022/07/30 01:13:53 - mmengine - INFO - Epoch(train) [141][680/3757] lr: 1.1698e-03 eta: 17:21:20 time: 0.4205 data_time: 0.0230 memory: 17006 grad_norm: 10.3748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4072 loss: 1.4072 2022/07/30 01:14:01 - mmengine - INFO - Epoch(train) [141][700/3757] lr: 1.1698e-03 eta: 17:21:11 time: 0.4043 data_time: 0.0177 memory: 17006 grad_norm: 10.1002 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4553 loss: 1.4553 2022/07/30 01:14:09 - mmengine - INFO - Epoch(train) [141][720/3757] lr: 1.1698e-03 eta: 17:21:02 time: 0.4171 data_time: 0.0220 memory: 17006 grad_norm: 9.9105 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4793 loss: 1.4793 2022/07/30 01:14:17 - mmengine - INFO - Epoch(train) [141][740/3757] lr: 1.1698e-03 eta: 17:20:54 time: 0.4103 data_time: 0.0212 memory: 17006 grad_norm: 10.2972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5061 loss: 1.5061 2022/07/30 01:14:26 - mmengine - INFO - Epoch(train) [141][760/3757] lr: 1.1698e-03 eta: 17:20:46 time: 0.4222 data_time: 0.0228 memory: 17006 grad_norm: 10.0993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3766 loss: 1.3766 2022/07/30 01:14:34 - mmengine - INFO - Epoch(train) [141][780/3757] lr: 1.1698e-03 eta: 17:20:37 time: 0.4074 data_time: 0.0186 memory: 17006 grad_norm: 10.7590 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/07/30 01:14:43 - mmengine - INFO - Epoch(train) [141][800/3757] lr: 1.1698e-03 eta: 17:20:29 time: 0.4422 data_time: 0.0219 memory: 17006 grad_norm: 10.3564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/07/30 01:14:51 - mmengine - INFO - Epoch(train) [141][820/3757] lr: 1.1698e-03 eta: 17:20:21 time: 0.4041 data_time: 0.0179 memory: 17006 grad_norm: 10.1598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0677 loss: 1.0677 2022/07/30 01:14:59 - mmengine - INFO - Epoch(train) [141][840/3757] lr: 1.1698e-03 eta: 17:20:12 time: 0.4090 data_time: 0.0208 memory: 17006 grad_norm: 10.8756 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4604 loss: 1.4604 2022/07/30 01:15:07 - mmengine - INFO - Epoch(train) [141][860/3757] lr: 1.1698e-03 eta: 17:20:03 time: 0.4129 data_time: 0.0170 memory: 17006 grad_norm: 11.1604 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2669 loss: 1.2669 2022/07/30 01:15:16 - mmengine - INFO - Epoch(train) [141][880/3757] lr: 1.1698e-03 eta: 17:19:55 time: 0.4117 data_time: 0.0213 memory: 17006 grad_norm: 10.6081 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4735 loss: 1.4735 2022/07/30 01:15:24 - mmengine - INFO - Epoch(train) [141][900/3757] lr: 1.1698e-03 eta: 17:19:46 time: 0.4164 data_time: 0.0186 memory: 17006 grad_norm: 10.6727 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3828 loss: 1.3828 2022/07/30 01:15:32 - mmengine - INFO - Epoch(train) [141][920/3757] lr: 1.1698e-03 eta: 17:19:38 time: 0.4163 data_time: 0.0230 memory: 17006 grad_norm: 10.4172 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4380 loss: 1.4380 2022/07/30 01:15:40 - mmengine - INFO - Epoch(train) [141][940/3757] lr: 1.1698e-03 eta: 17:19:29 time: 0.4031 data_time: 0.0171 memory: 17006 grad_norm: 10.3381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2794 loss: 1.2794 2022/07/30 01:15:49 - mmengine - INFO - Epoch(train) [141][960/3757] lr: 1.1698e-03 eta: 17:19:21 time: 0.4167 data_time: 0.0228 memory: 17006 grad_norm: 10.8591 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6127 loss: 1.6127 2022/07/30 01:15:57 - mmengine - INFO - Epoch(train) [141][980/3757] lr: 1.1698e-03 eta: 17:19:12 time: 0.4155 data_time: 0.0186 memory: 17006 grad_norm: 10.5218 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4243 loss: 1.4243 2022/07/30 01:16:06 - mmengine - INFO - Epoch(train) [141][1000/3757] lr: 1.1698e-03 eta: 17:19:04 time: 0.4177 data_time: 0.0227 memory: 17006 grad_norm: 10.1102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3625 loss: 1.3625 2022/07/30 01:16:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:16:15 - mmengine - INFO - Epoch(train) [141][1020/3757] lr: 1.1698e-03 eta: 17:18:57 time: 0.4706 data_time: 0.0200 memory: 17006 grad_norm: 10.6821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3211 loss: 1.3211 2022/07/30 01:16:23 - mmengine - INFO - Epoch(train) [141][1040/3757] lr: 1.1698e-03 eta: 17:18:49 time: 0.4108 data_time: 0.0216 memory: 17006 grad_norm: 10.7909 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3227 loss: 1.3227 2022/07/30 01:16:31 - mmengine - INFO - Epoch(train) [141][1060/3757] lr: 1.1698e-03 eta: 17:18:40 time: 0.4027 data_time: 0.0178 memory: 17006 grad_norm: 10.4431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3466 loss: 1.3466 2022/07/30 01:16:40 - mmengine - INFO - Epoch(train) [141][1080/3757] lr: 1.1698e-03 eta: 17:18:33 time: 0.4474 data_time: 0.0214 memory: 17006 grad_norm: 10.7844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4696 loss: 1.4696 2022/07/30 01:16:49 - mmengine - INFO - Epoch(train) [141][1100/3757] lr: 1.1698e-03 eta: 17:18:24 time: 0.4219 data_time: 0.0195 memory: 17006 grad_norm: 11.2414 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3896 loss: 1.3896 2022/07/30 01:16:58 - mmengine - INFO - Epoch(train) [141][1120/3757] lr: 1.1698e-03 eta: 17:18:17 time: 0.4431 data_time: 0.0235 memory: 17006 grad_norm: 10.5344 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4243 loss: 1.4243 2022/07/30 01:17:06 - mmengine - INFO - Epoch(train) [141][1140/3757] lr: 1.1698e-03 eta: 17:18:08 time: 0.4067 data_time: 0.0182 memory: 17006 grad_norm: 10.1100 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/07/30 01:17:14 - mmengine - INFO - Epoch(train) [141][1160/3757] lr: 1.1698e-03 eta: 17:18:00 time: 0.4180 data_time: 0.0244 memory: 17006 grad_norm: 10.3333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5132 loss: 1.5132 2022/07/30 01:17:23 - mmengine - INFO - Epoch(train) [141][1180/3757] lr: 1.1698e-03 eta: 17:17:53 time: 0.4580 data_time: 0.0206 memory: 17006 grad_norm: 10.7504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6306 loss: 1.6306 2022/07/30 01:17:32 - mmengine - INFO - Epoch(train) [141][1200/3757] lr: 1.1698e-03 eta: 17:17:44 time: 0.4050 data_time: 0.0214 memory: 17006 grad_norm: 10.5303 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8329 loss: 1.8329 2022/07/30 01:17:40 - mmengine - INFO - Epoch(train) [141][1220/3757] lr: 1.1698e-03 eta: 17:17:35 time: 0.4062 data_time: 0.0183 memory: 17006 grad_norm: 10.9313 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4012 loss: 1.4012 2022/07/30 01:17:49 - mmengine - INFO - Epoch(train) [141][1240/3757] lr: 1.1698e-03 eta: 17:17:28 time: 0.4520 data_time: 0.0221 memory: 17006 grad_norm: 10.6676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1905 loss: 1.1905 2022/07/30 01:17:57 - mmengine - INFO - Epoch(train) [141][1260/3757] lr: 1.1698e-03 eta: 17:17:19 time: 0.4088 data_time: 0.0196 memory: 17006 grad_norm: 10.3995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2405 loss: 1.2405 2022/07/30 01:18:05 - mmengine - INFO - Epoch(train) [141][1280/3757] lr: 1.1698e-03 eta: 17:17:11 time: 0.4149 data_time: 0.0219 memory: 17006 grad_norm: 10.7355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5347 loss: 1.5347 2022/07/30 01:18:14 - mmengine - INFO - Epoch(train) [141][1300/3757] lr: 1.1698e-03 eta: 17:17:02 time: 0.4088 data_time: 0.0197 memory: 17006 grad_norm: 11.1251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5305 loss: 1.5305 2022/07/30 01:18:22 - mmengine - INFO - Epoch(train) [141][1320/3757] lr: 1.1698e-03 eta: 17:16:54 time: 0.4049 data_time: 0.0212 memory: 17006 grad_norm: 10.8456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5778 loss: 1.5778 2022/07/30 01:18:30 - mmengine - INFO - Epoch(train) [141][1340/3757] lr: 1.1698e-03 eta: 17:16:45 time: 0.4168 data_time: 0.0183 memory: 17006 grad_norm: 10.2437 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6237 loss: 1.6237 2022/07/30 01:18:38 - mmengine - INFO - Epoch(train) [141][1360/3757] lr: 1.1698e-03 eta: 17:16:37 time: 0.4087 data_time: 0.0219 memory: 17006 grad_norm: 10.8756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3449 loss: 1.3449 2022/07/30 01:18:47 - mmengine - INFO - Epoch(train) [141][1380/3757] lr: 1.1698e-03 eta: 17:16:29 time: 0.4490 data_time: 0.0185 memory: 17006 grad_norm: 10.3912 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4365 loss: 1.4365 2022/07/30 01:18:55 - mmengine - INFO - Epoch(train) [141][1400/3757] lr: 1.1698e-03 eta: 17:16:21 time: 0.4103 data_time: 0.0231 memory: 17006 grad_norm: 10.9872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3265 loss: 1.3265 2022/07/30 01:19:04 - mmengine - INFO - Epoch(train) [141][1420/3757] lr: 1.1698e-03 eta: 17:16:13 time: 0.4490 data_time: 0.0196 memory: 17006 grad_norm: 10.6093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5879 loss: 1.5879 2022/07/30 01:19:13 - mmengine - INFO - Epoch(train) [141][1440/3757] lr: 1.1698e-03 eta: 17:16:05 time: 0.4076 data_time: 0.0212 memory: 17006 grad_norm: 10.6181 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1106 loss: 1.1106 2022/07/30 01:19:21 - mmengine - INFO - Epoch(train) [141][1460/3757] lr: 1.1698e-03 eta: 17:15:56 time: 0.4039 data_time: 0.0179 memory: 17006 grad_norm: 10.4658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6238 loss: 1.6238 2022/07/30 01:19:30 - mmengine - INFO - Epoch(train) [141][1480/3757] lr: 1.1698e-03 eta: 17:15:48 time: 0.4475 data_time: 0.0209 memory: 17006 grad_norm: 9.6642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1981 loss: 1.1981 2022/07/30 01:19:38 - mmengine - INFO - Epoch(train) [141][1500/3757] lr: 1.1698e-03 eta: 17:15:40 time: 0.4075 data_time: 0.0189 memory: 17006 grad_norm: 10.1662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2043 loss: 1.2043 2022/07/30 01:19:47 - mmengine - INFO - Epoch(train) [141][1520/3757] lr: 1.1698e-03 eta: 17:15:32 time: 0.4431 data_time: 0.0218 memory: 17006 grad_norm: 10.2954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3636 loss: 1.3636 2022/07/30 01:19:55 - mmengine - INFO - Epoch(train) [141][1540/3757] lr: 1.1698e-03 eta: 17:15:24 time: 0.4066 data_time: 0.0195 memory: 17006 grad_norm: 10.4565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3785 loss: 1.3785 2022/07/30 01:20:03 - mmengine - INFO - Epoch(train) [141][1560/3757] lr: 1.1698e-03 eta: 17:15:15 time: 0.4259 data_time: 0.0213 memory: 17006 grad_norm: 10.6788 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2775 loss: 1.2775 2022/07/30 01:20:12 - mmengine - INFO - Epoch(train) [141][1580/3757] lr: 1.1698e-03 eta: 17:15:07 time: 0.4033 data_time: 0.0184 memory: 17006 grad_norm: 10.3808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3828 loss: 1.3828 2022/07/30 01:20:20 - mmengine - INFO - Epoch(train) [141][1600/3757] lr: 1.1698e-03 eta: 17:14:58 time: 0.4097 data_time: 0.0219 memory: 17006 grad_norm: 10.3416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4083 loss: 1.4083 2022/07/30 01:20:29 - mmengine - INFO - Epoch(train) [141][1620/3757] lr: 1.1698e-03 eta: 17:14:51 time: 0.4488 data_time: 0.0186 memory: 17006 grad_norm: 10.5617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2158 loss: 1.2158 2022/07/30 01:20:37 - mmengine - INFO - Epoch(train) [141][1640/3757] lr: 1.1698e-03 eta: 17:14:42 time: 0.4103 data_time: 0.0228 memory: 17006 grad_norm: 10.4176 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2813 loss: 1.2813 2022/07/30 01:20:45 - mmengine - INFO - Epoch(train) [141][1660/3757] lr: 1.1698e-03 eta: 17:14:34 time: 0.4125 data_time: 0.0188 memory: 17006 grad_norm: 10.7103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2396 loss: 1.2396 2022/07/30 01:20:54 - mmengine - INFO - Epoch(train) [141][1680/3757] lr: 1.1698e-03 eta: 17:14:26 time: 0.4471 data_time: 0.0225 memory: 17006 grad_norm: 10.6303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4231 loss: 1.4231 2022/07/30 01:21:03 - mmengine - INFO - Epoch(train) [141][1700/3757] lr: 1.1698e-03 eta: 17:14:18 time: 0.4102 data_time: 0.0174 memory: 17006 grad_norm: 10.5439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6290 loss: 1.6290 2022/07/30 01:21:11 - mmengine - INFO - Epoch(train) [141][1720/3757] lr: 1.1698e-03 eta: 17:14:09 time: 0.4212 data_time: 0.0219 memory: 17006 grad_norm: 10.3277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/07/30 01:21:19 - mmengine - INFO - Epoch(train) [141][1740/3757] lr: 1.1698e-03 eta: 17:14:01 time: 0.4072 data_time: 0.0185 memory: 17006 grad_norm: 10.4764 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6635 loss: 1.6635 2022/07/30 01:21:27 - mmengine - INFO - Epoch(train) [141][1760/3757] lr: 1.1698e-03 eta: 17:13:52 time: 0.4143 data_time: 0.0214 memory: 17006 grad_norm: 10.1420 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2863 loss: 1.2863 2022/07/30 01:21:36 - mmengine - INFO - Epoch(train) [141][1780/3757] lr: 1.1698e-03 eta: 17:13:45 time: 0.4477 data_time: 0.0194 memory: 17006 grad_norm: 10.7571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6320 loss: 1.6320 2022/07/30 01:21:45 - mmengine - INFO - Epoch(train) [141][1800/3757] lr: 1.1698e-03 eta: 17:13:36 time: 0.4153 data_time: 0.0216 memory: 17006 grad_norm: 10.5931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3787 loss: 1.3787 2022/07/30 01:21:53 - mmengine - INFO - Epoch(train) [141][1820/3757] lr: 1.1698e-03 eta: 17:13:28 time: 0.4093 data_time: 0.0196 memory: 17006 grad_norm: 10.5312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4908 loss: 1.4908 2022/07/30 01:22:01 - mmengine - INFO - Epoch(train) [141][1840/3757] lr: 1.1698e-03 eta: 17:13:19 time: 0.4069 data_time: 0.0209 memory: 17006 grad_norm: 10.2852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4389 loss: 1.4389 2022/07/30 01:22:09 - mmengine - INFO - Epoch(train) [141][1860/3757] lr: 1.1698e-03 eta: 17:13:10 time: 0.4111 data_time: 0.0184 memory: 17006 grad_norm: 11.3969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5757 loss: 1.5757 2022/07/30 01:22:18 - mmengine - INFO - Epoch(train) [141][1880/3757] lr: 1.1698e-03 eta: 17:13:02 time: 0.4181 data_time: 0.0227 memory: 17006 grad_norm: 10.4935 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5207 loss: 1.5207 2022/07/30 01:22:27 - mmengine - INFO - Epoch(train) [141][1900/3757] lr: 1.1698e-03 eta: 17:12:55 time: 0.4417 data_time: 0.0200 memory: 17006 grad_norm: 10.5458 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2643 loss: 1.2643 2022/07/30 01:22:35 - mmengine - INFO - Epoch(train) [141][1920/3757] lr: 1.1698e-03 eta: 17:12:46 time: 0.4236 data_time: 0.0228 memory: 17006 grad_norm: 10.6934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2864 loss: 1.2864 2022/07/30 01:22:43 - mmengine - INFO - Epoch(train) [141][1940/3757] lr: 1.1698e-03 eta: 17:12:38 time: 0.4137 data_time: 0.0185 memory: 17006 grad_norm: 10.0650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3139 loss: 1.3139 2022/07/30 01:22:52 - mmengine - INFO - Epoch(train) [141][1960/3757] lr: 1.1698e-03 eta: 17:12:29 time: 0.4053 data_time: 0.0207 memory: 17006 grad_norm: 10.5654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4460 loss: 1.4460 2022/07/30 01:23:00 - mmengine - INFO - Epoch(train) [141][1980/3757] lr: 1.1698e-03 eta: 17:12:21 time: 0.4126 data_time: 0.0200 memory: 17006 grad_norm: 10.7867 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3998 loss: 1.3998 2022/07/30 01:23:09 - mmengine - INFO - Epoch(train) [141][2000/3757] lr: 1.1698e-03 eta: 17:12:13 time: 0.4367 data_time: 0.0231 memory: 17006 grad_norm: 10.7252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2698 loss: 1.2698 2022/07/30 01:23:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:23:17 - mmengine - INFO - Epoch(train) [141][2020/3757] lr: 1.1698e-03 eta: 17:12:05 time: 0.4342 data_time: 0.0185 memory: 17006 grad_norm: 10.6895 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6348 loss: 1.6348 2022/07/30 01:23:26 - mmengine - INFO - Epoch(train) [141][2040/3757] lr: 1.1698e-03 eta: 17:11:57 time: 0.4152 data_time: 0.0216 memory: 17006 grad_norm: 10.2139 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4667 loss: 1.4667 2022/07/30 01:23:34 - mmengine - INFO - Epoch(train) [141][2060/3757] lr: 1.1698e-03 eta: 17:11:48 time: 0.4066 data_time: 0.0201 memory: 17006 grad_norm: 10.5747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3983 loss: 1.3983 2022/07/30 01:23:42 - mmengine - INFO - Epoch(train) [141][2080/3757] lr: 1.1698e-03 eta: 17:11:39 time: 0.4047 data_time: 0.0210 memory: 17006 grad_norm: 10.5431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3366 loss: 1.3366 2022/07/30 01:23:50 - mmengine - INFO - Epoch(train) [141][2100/3757] lr: 1.1698e-03 eta: 17:11:31 time: 0.4151 data_time: 0.0185 memory: 17006 grad_norm: 10.8384 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/07/30 01:23:59 - mmengine - INFO - Epoch(train) [141][2120/3757] lr: 1.1698e-03 eta: 17:11:23 time: 0.4210 data_time: 0.0221 memory: 17006 grad_norm: 10.5514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6277 loss: 1.6277 2022/07/30 01:24:07 - mmengine - INFO - Epoch(train) [141][2140/3757] lr: 1.1698e-03 eta: 17:11:15 time: 0.4313 data_time: 0.0221 memory: 17006 grad_norm: 10.2686 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5367 loss: 1.5367 2022/07/30 01:24:16 - mmengine - INFO - Epoch(train) [141][2160/3757] lr: 1.1698e-03 eta: 17:11:07 time: 0.4322 data_time: 0.0217 memory: 17006 grad_norm: 10.3271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3978 loss: 1.3978 2022/07/30 01:24:25 - mmengine - INFO - Epoch(train) [141][2180/3757] lr: 1.1698e-03 eta: 17:10:59 time: 0.4256 data_time: 0.0190 memory: 17006 grad_norm: 10.2430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3196 loss: 1.3196 2022/07/30 01:24:33 - mmengine - INFO - Epoch(train) [141][2200/3757] lr: 1.1698e-03 eta: 17:10:50 time: 0.4079 data_time: 0.0216 memory: 17006 grad_norm: 10.2432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4091 loss: 1.4091 2022/07/30 01:24:41 - mmengine - INFO - Epoch(train) [141][2220/3757] lr: 1.1698e-03 eta: 17:10:41 time: 0.4066 data_time: 0.0178 memory: 17006 grad_norm: 10.7055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8237 loss: 1.8237 2022/07/30 01:24:50 - mmengine - INFO - Epoch(train) [141][2240/3757] lr: 1.1698e-03 eta: 17:10:34 time: 0.4381 data_time: 0.0227 memory: 17006 grad_norm: 10.0710 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2321 loss: 1.2321 2022/07/30 01:24:58 - mmengine - INFO - Epoch(train) [141][2260/3757] lr: 1.1698e-03 eta: 17:10:25 time: 0.4030 data_time: 0.0180 memory: 17006 grad_norm: 10.2098 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/07/30 01:25:07 - mmengine - INFO - Epoch(train) [141][2280/3757] lr: 1.1698e-03 eta: 17:10:17 time: 0.4509 data_time: 0.0228 memory: 17006 grad_norm: 10.8931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4805 loss: 1.4805 2022/07/30 01:25:15 - mmengine - INFO - Epoch(train) [141][2300/3757] lr: 1.1698e-03 eta: 17:10:09 time: 0.4048 data_time: 0.0181 memory: 17006 grad_norm: 10.8085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6361 loss: 1.6361 2022/07/30 01:25:23 - mmengine - INFO - Epoch(train) [141][2320/3757] lr: 1.1698e-03 eta: 17:10:00 time: 0.4161 data_time: 0.0207 memory: 17006 grad_norm: 10.3128 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5350 loss: 1.5350 2022/07/30 01:25:31 - mmengine - INFO - Epoch(train) [141][2340/3757] lr: 1.1698e-03 eta: 17:09:52 time: 0.4060 data_time: 0.0185 memory: 17006 grad_norm: 10.8295 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2671 loss: 1.2671 2022/07/30 01:25:39 - mmengine - INFO - Epoch(train) [141][2360/3757] lr: 1.1698e-03 eta: 17:09:43 time: 0.4040 data_time: 0.0207 memory: 17006 grad_norm: 11.1665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5298 loss: 1.5298 2022/07/30 01:25:49 - mmengine - INFO - Epoch(train) [141][2380/3757] lr: 1.1698e-03 eta: 17:09:36 time: 0.4720 data_time: 0.0205 memory: 17006 grad_norm: 10.5820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2252 loss: 1.2252 2022/07/30 01:25:57 - mmengine - INFO - Epoch(train) [141][2400/3757] lr: 1.1698e-03 eta: 17:09:27 time: 0.4073 data_time: 0.0232 memory: 17006 grad_norm: 9.9821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2999 loss: 1.2999 2022/07/30 01:26:06 - mmengine - INFO - Epoch(train) [141][2420/3757] lr: 1.1698e-03 eta: 17:09:20 time: 0.4394 data_time: 0.0193 memory: 17006 grad_norm: 10.2773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4235 loss: 1.4235 2022/07/30 01:26:14 - mmengine - INFO - Epoch(train) [141][2440/3757] lr: 1.1698e-03 eta: 17:09:11 time: 0.4045 data_time: 0.0213 memory: 17006 grad_norm: 11.1108 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4331 loss: 1.4331 2022/07/30 01:26:22 - mmengine - INFO - Epoch(train) [141][2460/3757] lr: 1.1698e-03 eta: 17:09:02 time: 0.4043 data_time: 0.0183 memory: 17006 grad_norm: 10.4612 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3670 loss: 1.3670 2022/07/30 01:26:32 - mmengine - INFO - Epoch(train) [141][2480/3757] lr: 1.1698e-03 eta: 17:08:55 time: 0.4674 data_time: 0.0226 memory: 17006 grad_norm: 11.1084 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6779 loss: 1.6779 2022/07/30 01:26:40 - mmengine - INFO - Epoch(train) [141][2500/3757] lr: 1.1698e-03 eta: 17:08:47 time: 0.4032 data_time: 0.0181 memory: 17006 grad_norm: 10.7470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4471 loss: 1.4471 2022/07/30 01:26:49 - mmengine - INFO - Epoch(train) [141][2520/3757] lr: 1.1698e-03 eta: 17:08:40 time: 0.4585 data_time: 0.0231 memory: 17006 grad_norm: 10.6623 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5509 loss: 1.5509 2022/07/30 01:26:57 - mmengine - INFO - Epoch(train) [141][2540/3757] lr: 1.1698e-03 eta: 17:08:31 time: 0.4044 data_time: 0.0172 memory: 17006 grad_norm: 11.4221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4477 loss: 1.4477 2022/07/30 01:27:05 - mmengine - INFO - Epoch(train) [141][2560/3757] lr: 1.1698e-03 eta: 17:08:22 time: 0.4124 data_time: 0.0210 memory: 17006 grad_norm: 10.7053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2992 loss: 1.2992 2022/07/30 01:27:13 - mmengine - INFO - Epoch(train) [141][2580/3757] lr: 1.1698e-03 eta: 17:08:14 time: 0.4106 data_time: 0.0190 memory: 17006 grad_norm: 10.4845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3569 loss: 1.3569 2022/07/30 01:27:22 - mmengine - INFO - Epoch(train) [141][2600/3757] lr: 1.1698e-03 eta: 17:08:05 time: 0.4049 data_time: 0.0209 memory: 17006 grad_norm: 10.6128 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4725 loss: 1.4725 2022/07/30 01:27:30 - mmengine - INFO - Epoch(train) [141][2620/3757] lr: 1.1698e-03 eta: 17:07:56 time: 0.4148 data_time: 0.0194 memory: 17006 grad_norm: 10.4963 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/07/30 01:27:38 - mmengine - INFO - Epoch(train) [141][2640/3757] lr: 1.1698e-03 eta: 17:07:48 time: 0.4125 data_time: 0.0212 memory: 17006 grad_norm: 10.1878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0790 loss: 1.0790 2022/07/30 01:27:46 - mmengine - INFO - Epoch(train) [141][2660/3757] lr: 1.1698e-03 eta: 17:07:39 time: 0.4116 data_time: 0.0201 memory: 17006 grad_norm: 10.6435 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4028 loss: 1.4028 2022/07/30 01:27:55 - mmengine - INFO - Epoch(train) [141][2680/3757] lr: 1.1698e-03 eta: 17:07:31 time: 0.4093 data_time: 0.0215 memory: 17006 grad_norm: 10.3237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4675 loss: 1.4675 2022/07/30 01:28:03 - mmengine - INFO - Epoch(train) [141][2700/3757] lr: 1.1698e-03 eta: 17:07:22 time: 0.4036 data_time: 0.0180 memory: 17006 grad_norm: 10.5874 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4231 loss: 1.4231 2022/07/30 01:28:11 - mmengine - INFO - Epoch(train) [141][2720/3757] lr: 1.1698e-03 eta: 17:07:14 time: 0.4190 data_time: 0.0212 memory: 17006 grad_norm: 10.7535 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2771 loss: 1.2771 2022/07/30 01:28:20 - mmengine - INFO - Epoch(train) [141][2740/3757] lr: 1.1698e-03 eta: 17:07:05 time: 0.4210 data_time: 0.0201 memory: 17006 grad_norm: 10.8083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1030 loss: 1.1030 2022/07/30 01:28:28 - mmengine - INFO - Epoch(train) [141][2760/3757] lr: 1.1698e-03 eta: 17:06:57 time: 0.4162 data_time: 0.0231 memory: 17006 grad_norm: 10.3857 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8949 loss: 1.8949 2022/07/30 01:28:36 - mmengine - INFO - Epoch(train) [141][2780/3757] lr: 1.1698e-03 eta: 17:06:48 time: 0.4047 data_time: 0.0175 memory: 17006 grad_norm: 10.4554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0943 loss: 1.0943 2022/07/30 01:28:45 - mmengine - INFO - Epoch(train) [141][2800/3757] lr: 1.1698e-03 eta: 17:06:40 time: 0.4332 data_time: 0.0221 memory: 17006 grad_norm: 10.4705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3950 loss: 1.3950 2022/07/30 01:28:53 - mmengine - INFO - Epoch(train) [141][2820/3757] lr: 1.1698e-03 eta: 17:06:32 time: 0.4049 data_time: 0.0185 memory: 17006 grad_norm: 11.1155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3206 loss: 1.3206 2022/07/30 01:29:01 - mmengine - INFO - Epoch(train) [141][2840/3757] lr: 1.1698e-03 eta: 17:06:24 time: 0.4294 data_time: 0.0204 memory: 17006 grad_norm: 10.4965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4853 loss: 1.4853 2022/07/30 01:29:10 - mmengine - INFO - Epoch(train) [141][2860/3757] lr: 1.1698e-03 eta: 17:06:16 time: 0.4285 data_time: 0.0198 memory: 17006 grad_norm: 10.6655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3838 loss: 1.3838 2022/07/30 01:29:18 - mmengine - INFO - Epoch(train) [141][2880/3757] lr: 1.1698e-03 eta: 17:06:07 time: 0.4087 data_time: 0.0228 memory: 17006 grad_norm: 10.2317 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3181 loss: 1.3181 2022/07/30 01:29:27 - mmengine - INFO - Epoch(train) [141][2900/3757] lr: 1.1698e-03 eta: 17:05:59 time: 0.4426 data_time: 0.0194 memory: 17006 grad_norm: 10.8683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5378 loss: 1.5378 2022/07/30 01:29:35 - mmengine - INFO - Epoch(train) [141][2920/3757] lr: 1.1698e-03 eta: 17:05:51 time: 0.4063 data_time: 0.0213 memory: 17006 grad_norm: 10.5941 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4629 loss: 1.4629 2022/07/30 01:29:44 - mmengine - INFO - Epoch(train) [141][2940/3757] lr: 1.1698e-03 eta: 17:05:43 time: 0.4267 data_time: 0.0175 memory: 17006 grad_norm: 10.5436 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5033 loss: 1.5033 2022/07/30 01:29:52 - mmengine - INFO - Epoch(train) [141][2960/3757] lr: 1.1698e-03 eta: 17:05:34 time: 0.4093 data_time: 0.0205 memory: 17006 grad_norm: 10.2232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2560 loss: 1.2560 2022/07/30 01:30:00 - mmengine - INFO - Epoch(train) [141][2980/3757] lr: 1.1698e-03 eta: 17:05:26 time: 0.4193 data_time: 0.0167 memory: 17006 grad_norm: 10.4742 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7545 loss: 1.7545 2022/07/30 01:30:09 - mmengine - INFO - Epoch(train) [141][3000/3757] lr: 1.1698e-03 eta: 17:05:18 time: 0.4270 data_time: 0.0237 memory: 17006 grad_norm: 10.8920 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4617 loss: 1.4617 2022/07/30 01:30:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:30:17 - mmengine - INFO - Epoch(train) [141][3020/3757] lr: 1.1698e-03 eta: 17:05:09 time: 0.4058 data_time: 0.0184 memory: 17006 grad_norm: 10.3890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7323 loss: 1.7323 2022/07/30 01:30:26 - mmengine - INFO - Epoch(train) [141][3040/3757] lr: 1.1698e-03 eta: 17:05:01 time: 0.4188 data_time: 0.0224 memory: 17006 grad_norm: 10.4296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1474 loss: 1.1474 2022/07/30 01:30:34 - mmengine - INFO - Epoch(train) [141][3060/3757] lr: 1.1698e-03 eta: 17:04:52 time: 0.4186 data_time: 0.0186 memory: 17006 grad_norm: 10.3938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2607 loss: 1.2607 2022/07/30 01:30:42 - mmengine - INFO - Epoch(train) [141][3080/3757] lr: 1.1698e-03 eta: 17:04:44 time: 0.4065 data_time: 0.0212 memory: 17006 grad_norm: 10.6934 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5679 loss: 1.5679 2022/07/30 01:30:50 - mmengine - INFO - Epoch(train) [141][3100/3757] lr: 1.1698e-03 eta: 17:04:35 time: 0.4169 data_time: 0.0196 memory: 17006 grad_norm: 10.8498 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2531 loss: 1.2531 2022/07/30 01:30:59 - mmengine - INFO - Epoch(train) [141][3120/3757] lr: 1.1698e-03 eta: 17:04:27 time: 0.4293 data_time: 0.0223 memory: 17006 grad_norm: 10.8148 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6192 loss: 1.6192 2022/07/30 01:31:07 - mmengine - INFO - Epoch(train) [141][3140/3757] lr: 1.1698e-03 eta: 17:04:19 time: 0.4152 data_time: 0.0200 memory: 17006 grad_norm: 11.0509 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7691 loss: 1.7691 2022/07/30 01:31:16 - mmengine - INFO - Epoch(train) [141][3160/3757] lr: 1.1698e-03 eta: 17:04:10 time: 0.4079 data_time: 0.0215 memory: 17006 grad_norm: 10.3525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6929 loss: 1.6929 2022/07/30 01:31:25 - mmengine - INFO - Epoch(train) [141][3180/3757] lr: 1.1698e-03 eta: 17:04:03 time: 0.4565 data_time: 0.0194 memory: 17006 grad_norm: 10.7516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1605 loss: 1.1605 2022/07/30 01:31:33 - mmengine - INFO - Epoch(train) [141][3200/3757] lr: 1.1698e-03 eta: 17:03:54 time: 0.4035 data_time: 0.0212 memory: 17006 grad_norm: 10.6873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/07/30 01:31:41 - mmengine - INFO - Epoch(train) [141][3220/3757] lr: 1.1698e-03 eta: 17:03:45 time: 0.4016 data_time: 0.0181 memory: 17006 grad_norm: 10.6004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3363 loss: 1.3363 2022/07/30 01:31:51 - mmengine - INFO - Epoch(train) [141][3240/3757] lr: 1.1698e-03 eta: 17:03:39 time: 0.4847 data_time: 0.0229 memory: 17006 grad_norm: 10.1797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9976 loss: 0.9976 2022/07/30 01:31:59 - mmengine - INFO - Epoch(train) [141][3260/3757] lr: 1.1698e-03 eta: 17:03:30 time: 0.4048 data_time: 0.0192 memory: 17006 grad_norm: 10.5416 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4398 loss: 1.4398 2022/07/30 01:32:07 - mmengine - INFO - Epoch(train) [141][3280/3757] lr: 1.1698e-03 eta: 17:03:23 time: 0.4344 data_time: 0.0227 memory: 17006 grad_norm: 10.3730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4114 loss: 1.4114 2022/07/30 01:32:16 - mmengine - INFO - Epoch(train) [141][3300/3757] lr: 1.1698e-03 eta: 17:03:14 time: 0.4035 data_time: 0.0192 memory: 17006 grad_norm: 10.8403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4889 loss: 1.4889 2022/07/30 01:32:24 - mmengine - INFO - Epoch(train) [141][3320/3757] lr: 1.1698e-03 eta: 17:03:05 time: 0.4218 data_time: 0.0205 memory: 17006 grad_norm: 10.6060 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4192 loss: 1.4192 2022/07/30 01:32:32 - mmengine - INFO - Epoch(train) [141][3340/3757] lr: 1.1698e-03 eta: 17:02:57 time: 0.4083 data_time: 0.0203 memory: 17006 grad_norm: 10.8326 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2752 loss: 1.2752 2022/07/30 01:32:40 - mmengine - INFO - Epoch(train) [141][3360/3757] lr: 1.1698e-03 eta: 17:02:48 time: 0.4056 data_time: 0.0207 memory: 17006 grad_norm: 10.9677 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5141 loss: 1.5141 2022/07/30 01:32:49 - mmengine - INFO - Epoch(train) [141][3380/3757] lr: 1.1698e-03 eta: 17:02:40 time: 0.4356 data_time: 0.0205 memory: 17006 grad_norm: 10.5053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4500 loss: 1.4500 2022/07/30 01:32:57 - mmengine - INFO - Epoch(train) [141][3400/3757] lr: 1.1698e-03 eta: 17:02:32 time: 0.4063 data_time: 0.0223 memory: 17006 grad_norm: 11.0932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3294 loss: 1.3294 2022/07/30 01:33:06 - mmengine - INFO - Epoch(train) [141][3420/3757] lr: 1.1698e-03 eta: 17:02:23 time: 0.4136 data_time: 0.0190 memory: 17006 grad_norm: 10.9137 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7767 loss: 1.7767 2022/07/30 01:33:14 - mmengine - INFO - Epoch(train) [141][3440/3757] lr: 1.1698e-03 eta: 17:02:14 time: 0.4051 data_time: 0.0211 memory: 17006 grad_norm: 10.4921 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7009 loss: 1.7009 2022/07/30 01:33:22 - mmengine - INFO - Epoch(train) [141][3460/3757] lr: 1.1698e-03 eta: 17:02:06 time: 0.4070 data_time: 0.0197 memory: 17006 grad_norm: 10.8019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2352 loss: 1.2352 2022/07/30 01:33:31 - mmengine - INFO - Epoch(train) [141][3480/3757] lr: 1.1698e-03 eta: 17:01:58 time: 0.4396 data_time: 0.0209 memory: 17006 grad_norm: 10.3340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2420 loss: 1.2420 2022/07/30 01:33:39 - mmengine - INFO - Epoch(train) [141][3500/3757] lr: 1.1698e-03 eta: 17:01:49 time: 0.4109 data_time: 0.0241 memory: 17006 grad_norm: 10.1733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/30 01:33:47 - mmengine - INFO - Epoch(train) [141][3520/3757] lr: 1.1698e-03 eta: 17:01:41 time: 0.4138 data_time: 0.0212 memory: 17006 grad_norm: 10.7526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1754 loss: 1.1754 2022/07/30 01:33:55 - mmengine - INFO - Epoch(train) [141][3540/3757] lr: 1.1698e-03 eta: 17:01:32 time: 0.4055 data_time: 0.0200 memory: 17006 grad_norm: 11.0166 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5544 loss: 1.5544 2022/07/30 01:34:03 - mmengine - INFO - Epoch(train) [141][3560/3757] lr: 1.1698e-03 eta: 17:01:23 time: 0.4032 data_time: 0.0204 memory: 17006 grad_norm: 10.8435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2096 loss: 1.2096 2022/07/30 01:34:12 - mmengine - INFO - Epoch(train) [141][3580/3757] lr: 1.1698e-03 eta: 17:01:15 time: 0.4134 data_time: 0.0170 memory: 17006 grad_norm: 10.8064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1878 loss: 1.1878 2022/07/30 01:34:20 - mmengine - INFO - Epoch(train) [141][3600/3757] lr: 1.1698e-03 eta: 17:01:06 time: 0.4114 data_time: 0.0225 memory: 17006 grad_norm: 10.4668 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4567 loss: 1.4567 2022/07/30 01:34:28 - mmengine - INFO - Epoch(train) [141][3620/3757] lr: 1.1698e-03 eta: 17:00:58 time: 0.4186 data_time: 0.0171 memory: 17006 grad_norm: 10.8371 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5613 loss: 1.5613 2022/07/30 01:34:37 - mmengine - INFO - Epoch(train) [141][3640/3757] lr: 1.1698e-03 eta: 17:00:49 time: 0.4089 data_time: 0.0239 memory: 17006 grad_norm: 10.6653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2431 loss: 1.2431 2022/07/30 01:34:45 - mmengine - INFO - Epoch(train) [141][3660/3757] lr: 1.1698e-03 eta: 17:00:41 time: 0.4313 data_time: 0.0176 memory: 17006 grad_norm: 10.3690 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3639 loss: 1.3639 2022/07/30 01:34:53 - mmengine - INFO - Epoch(train) [141][3680/3757] lr: 1.1698e-03 eta: 17:00:33 time: 0.4050 data_time: 0.0209 memory: 17006 grad_norm: 10.3172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3974 loss: 1.3974 2022/07/30 01:35:01 - mmengine - INFO - Epoch(train) [141][3700/3757] lr: 1.1698e-03 eta: 17:00:24 time: 0.4068 data_time: 0.0192 memory: 17006 grad_norm: 10.8755 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5390 loss: 1.5390 2022/07/30 01:35:10 - mmengine - INFO - Epoch(train) [141][3720/3757] lr: 1.1698e-03 eta: 17:00:16 time: 0.4171 data_time: 0.0207 memory: 17006 grad_norm: 10.4542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3011 loss: 1.3011 2022/07/30 01:35:18 - mmengine - INFO - Epoch(train) [141][3740/3757] lr: 1.1698e-03 eta: 17:00:07 time: 0.4076 data_time: 0.0213 memory: 17006 grad_norm: 10.1375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6465 loss: 1.6465 2022/07/30 01:35:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:35:25 - mmengine - INFO - Epoch(train) [141][3757/3757] lr: 1.1698e-03 eta: 17:00:07 time: 0.3969 data_time: 0.0203 memory: 17006 grad_norm: 10.0462 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3431 loss: 1.3431 2022/07/30 01:35:25 - mmengine - INFO - Saving checkpoint at 141 epochs 2022/07/30 01:35:39 - mmengine - INFO - Epoch(train) [142][20/3757] lr: 1.1143e-03 eta: 16:59:42 time: 0.4521 data_time: 0.0669 memory: 17006 grad_norm: 10.9700 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5495 loss: 1.5495 2022/07/30 01:35:48 - mmengine - INFO - Epoch(train) [142][40/3757] lr: 1.1143e-03 eta: 16:59:34 time: 0.4481 data_time: 0.0235 memory: 17006 grad_norm: 10.1144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6953 loss: 1.6953 2022/07/30 01:35:56 - mmengine - INFO - Epoch(train) [142][60/3757] lr: 1.1143e-03 eta: 16:59:25 time: 0.4059 data_time: 0.0212 memory: 17006 grad_norm: 10.6956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4354 loss: 1.4354 2022/07/30 01:36:05 - mmengine - INFO - Epoch(train) [142][80/3757] lr: 1.1143e-03 eta: 16:59:17 time: 0.4174 data_time: 0.0230 memory: 17006 grad_norm: 10.3064 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.2640 loss: 1.2640 2022/07/30 01:36:13 - mmengine - INFO - Epoch(train) [142][100/3757] lr: 1.1143e-03 eta: 16:59:08 time: 0.4031 data_time: 0.0205 memory: 17006 grad_norm: 10.3533 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4343 loss: 1.4343 2022/07/30 01:36:21 - mmengine - INFO - Epoch(train) [142][120/3757] lr: 1.1143e-03 eta: 16:59:00 time: 0.4108 data_time: 0.0217 memory: 17006 grad_norm: 10.8362 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6959 loss: 1.6959 2022/07/30 01:36:30 - mmengine - INFO - Epoch(train) [142][140/3757] lr: 1.1143e-03 eta: 16:58:51 time: 0.4187 data_time: 0.0218 memory: 17006 grad_norm: 10.3083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4464 loss: 1.4464 2022/07/30 01:36:38 - mmengine - INFO - Epoch(train) [142][160/3757] lr: 1.1143e-03 eta: 16:58:43 time: 0.4111 data_time: 0.0214 memory: 17006 grad_norm: 10.6485 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5465 loss: 1.5465 2022/07/30 01:36:46 - mmengine - INFO - Epoch(train) [142][180/3757] lr: 1.1143e-03 eta: 16:58:34 time: 0.4137 data_time: 0.0214 memory: 17006 grad_norm: 10.7660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4425 loss: 1.4425 2022/07/30 01:36:54 - mmengine - INFO - Epoch(train) [142][200/3757] lr: 1.1143e-03 eta: 16:58:26 time: 0.4048 data_time: 0.0200 memory: 17006 grad_norm: 10.2983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4971 loss: 1.4971 2022/07/30 01:37:02 - mmengine - INFO - Epoch(train) [142][220/3757] lr: 1.1143e-03 eta: 16:58:17 time: 0.4041 data_time: 0.0206 memory: 17006 grad_norm: 10.4155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7197 loss: 1.7197 2022/07/30 01:37:11 - mmengine - INFO - Epoch(train) [142][240/3757] lr: 1.1143e-03 eta: 16:58:10 time: 0.4530 data_time: 0.0218 memory: 17006 grad_norm: 10.6117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2408 loss: 1.2408 2022/07/30 01:37:19 - mmengine - INFO - Epoch(train) [142][260/3757] lr: 1.1143e-03 eta: 16:58:01 time: 0.4049 data_time: 0.0199 memory: 17006 grad_norm: 11.1229 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5777 loss: 1.5777 2022/07/30 01:37:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:37:28 - mmengine - INFO - Epoch(train) [142][280/3757] lr: 1.1143e-03 eta: 16:57:53 time: 0.4476 data_time: 0.0222 memory: 17006 grad_norm: 10.4496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4913 loss: 1.4913 2022/07/30 01:37:37 - mmengine - INFO - Epoch(train) [142][300/3757] lr: 1.1143e-03 eta: 16:57:45 time: 0.4065 data_time: 0.0213 memory: 17006 grad_norm: 10.4510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3691 loss: 1.3691 2022/07/30 01:37:45 - mmengine - INFO - Epoch(train) [142][320/3757] lr: 1.1143e-03 eta: 16:57:37 time: 0.4385 data_time: 0.0217 memory: 17006 grad_norm: 10.6937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1606 loss: 1.1606 2022/07/30 01:37:54 - mmengine - INFO - Epoch(train) [142][340/3757] lr: 1.1143e-03 eta: 16:57:28 time: 0.4043 data_time: 0.0203 memory: 17006 grad_norm: 10.9978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3934 loss: 1.3934 2022/07/30 01:38:02 - mmengine - INFO - Epoch(train) [142][360/3757] lr: 1.1143e-03 eta: 16:57:20 time: 0.4069 data_time: 0.0207 memory: 17006 grad_norm: 10.7038 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4882 loss: 1.4882 2022/07/30 01:38:10 - mmengine - INFO - Epoch(train) [142][380/3757] lr: 1.1143e-03 eta: 16:57:11 time: 0.4239 data_time: 0.0215 memory: 17006 grad_norm: 10.2950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4656 loss: 1.4656 2022/07/30 01:38:18 - mmengine - INFO - Epoch(train) [142][400/3757] lr: 1.1143e-03 eta: 16:57:03 time: 0.4060 data_time: 0.0210 memory: 17006 grad_norm: 11.0145 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3867 loss: 1.3867 2022/07/30 01:38:27 - mmengine - INFO - Epoch(train) [142][420/3757] lr: 1.1143e-03 eta: 16:56:55 time: 0.4529 data_time: 0.0228 memory: 17006 grad_norm: 10.9509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3731 loss: 1.3731 2022/07/30 01:38:36 - mmengine - INFO - Epoch(train) [142][440/3757] lr: 1.1143e-03 eta: 16:56:47 time: 0.4073 data_time: 0.0220 memory: 17006 grad_norm: 10.8603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3918 loss: 1.3918 2022/07/30 01:38:44 - mmengine - INFO - Epoch(train) [142][460/3757] lr: 1.1143e-03 eta: 16:56:38 time: 0.4050 data_time: 0.0207 memory: 17006 grad_norm: 9.9809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2354 loss: 1.2354 2022/07/30 01:38:52 - mmengine - INFO - Epoch(train) [142][480/3757] lr: 1.1143e-03 eta: 16:56:30 time: 0.4285 data_time: 0.0228 memory: 17006 grad_norm: 10.6550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5735 loss: 1.5735 2022/07/30 01:39:00 - mmengine - INFO - Epoch(train) [142][500/3757] lr: 1.1143e-03 eta: 16:56:21 time: 0.4048 data_time: 0.0198 memory: 17006 grad_norm: 10.9402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/07/30 01:39:09 - mmengine - INFO - Epoch(train) [142][520/3757] lr: 1.1143e-03 eta: 16:56:13 time: 0.4341 data_time: 0.0214 memory: 17006 grad_norm: 10.3590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3943 loss: 1.3943 2022/07/30 01:39:17 - mmengine - INFO - Epoch(train) [142][540/3757] lr: 1.1143e-03 eta: 16:56:05 time: 0.4059 data_time: 0.0204 memory: 17006 grad_norm: 10.5622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1450 loss: 1.1450 2022/07/30 01:39:26 - mmengine - INFO - Epoch(train) [142][560/3757] lr: 1.1143e-03 eta: 16:55:57 time: 0.4278 data_time: 0.0216 memory: 17006 grad_norm: 11.1435 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6058 loss: 1.6058 2022/07/30 01:39:34 - mmengine - INFO - Epoch(train) [142][580/3757] lr: 1.1143e-03 eta: 16:55:48 time: 0.4046 data_time: 0.0200 memory: 17006 grad_norm: 10.6184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4137 loss: 1.4137 2022/07/30 01:39:42 - mmengine - INFO - Epoch(train) [142][600/3757] lr: 1.1143e-03 eta: 16:55:39 time: 0.4063 data_time: 0.0207 memory: 17006 grad_norm: 10.5937 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2541 loss: 1.2541 2022/07/30 01:39:51 - mmengine - INFO - Epoch(train) [142][620/3757] lr: 1.1143e-03 eta: 16:55:31 time: 0.4335 data_time: 0.0222 memory: 17006 grad_norm: 10.5474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2510 loss: 1.2510 2022/07/30 01:39:59 - mmengine - INFO - Epoch(train) [142][640/3757] lr: 1.1143e-03 eta: 16:55:23 time: 0.4050 data_time: 0.0209 memory: 17006 grad_norm: 10.5621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5461 loss: 1.5461 2022/07/30 01:40:07 - mmengine - INFO - Epoch(train) [142][660/3757] lr: 1.1143e-03 eta: 16:55:14 time: 0.4202 data_time: 0.0213 memory: 17006 grad_norm: 10.1086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4958 loss: 1.4958 2022/07/30 01:40:15 - mmengine - INFO - Epoch(train) [142][680/3757] lr: 1.1143e-03 eta: 16:55:06 time: 0.4037 data_time: 0.0195 memory: 17006 grad_norm: 10.4552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1597 loss: 1.1597 2022/07/30 01:40:24 - mmengine - INFO - Epoch(train) [142][700/3757] lr: 1.1143e-03 eta: 16:54:57 time: 0.4057 data_time: 0.0211 memory: 17006 grad_norm: 10.6980 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2165 loss: 1.2165 2022/07/30 01:40:33 - mmengine - INFO - Epoch(train) [142][720/3757] lr: 1.1143e-03 eta: 16:54:49 time: 0.4483 data_time: 0.0216 memory: 17006 grad_norm: 10.6758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1768 loss: 1.1768 2022/07/30 01:40:41 - mmengine - INFO - Epoch(train) [142][740/3757] lr: 1.1143e-03 eta: 16:54:41 time: 0.4069 data_time: 0.0230 memory: 17006 grad_norm: 10.6673 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3649 loss: 1.3649 2022/07/30 01:40:50 - mmengine - INFO - Epoch(train) [142][760/3757] lr: 1.1143e-03 eta: 16:54:34 time: 0.4593 data_time: 0.0223 memory: 17006 grad_norm: 10.7791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5192 loss: 1.5192 2022/07/30 01:40:58 - mmengine - INFO - Epoch(train) [142][780/3757] lr: 1.1143e-03 eta: 16:54:25 time: 0.4051 data_time: 0.0216 memory: 17006 grad_norm: 10.6062 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3812 loss: 1.3812 2022/07/30 01:41:07 - mmengine - INFO - Epoch(train) [142][800/3757] lr: 1.1143e-03 eta: 16:54:17 time: 0.4350 data_time: 0.0232 memory: 17006 grad_norm: 10.7183 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4493 loss: 1.4493 2022/07/30 01:41:15 - mmengine - INFO - Epoch(train) [142][820/3757] lr: 1.1143e-03 eta: 16:54:08 time: 0.4049 data_time: 0.0215 memory: 17006 grad_norm: 10.6196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4851 loss: 1.4851 2022/07/30 01:41:23 - mmengine - INFO - Epoch(train) [142][840/3757] lr: 1.1143e-03 eta: 16:54:00 time: 0.4064 data_time: 0.0212 memory: 17006 grad_norm: 10.5063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/07/30 01:41:32 - mmengine - INFO - Epoch(train) [142][860/3757] lr: 1.1143e-03 eta: 16:53:52 time: 0.4265 data_time: 0.0230 memory: 17006 grad_norm: 10.4153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2214 loss: 1.2214 2022/07/30 01:41:40 - mmengine - INFO - Epoch(train) [142][880/3757] lr: 1.1143e-03 eta: 16:53:43 time: 0.4066 data_time: 0.0218 memory: 17006 grad_norm: 10.4844 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4399 loss: 1.4399 2022/07/30 01:41:48 - mmengine - INFO - Epoch(train) [142][900/3757] lr: 1.1143e-03 eta: 16:53:35 time: 0.4167 data_time: 0.0228 memory: 17006 grad_norm: 10.7041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2176 loss: 1.2176 2022/07/30 01:41:56 - mmengine - INFO - Epoch(train) [142][920/3757] lr: 1.1143e-03 eta: 16:53:26 time: 0.4112 data_time: 0.0211 memory: 17006 grad_norm: 11.0060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3215 loss: 1.3215 2022/07/30 01:42:05 - mmengine - INFO - Epoch(train) [142][940/3757] lr: 1.1143e-03 eta: 16:53:18 time: 0.4265 data_time: 0.0203 memory: 17006 grad_norm: 10.6661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3757 loss: 1.3757 2022/07/30 01:42:13 - mmengine - INFO - Epoch(train) [142][960/3757] lr: 1.1143e-03 eta: 16:53:09 time: 0.4098 data_time: 0.0199 memory: 17006 grad_norm: 11.1514 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4227 loss: 1.4227 2022/07/30 01:42:22 - mmengine - INFO - Epoch(train) [142][980/3757] lr: 1.1143e-03 eta: 16:53:01 time: 0.4286 data_time: 0.0202 memory: 17006 grad_norm: 10.7943 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/07/30 01:42:30 - mmengine - INFO - Epoch(train) [142][1000/3757] lr: 1.1143e-03 eta: 16:52:53 time: 0.4310 data_time: 0.0224 memory: 17006 grad_norm: 10.6065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2969 loss: 1.2969 2022/07/30 01:42:39 - mmengine - INFO - Epoch(train) [142][1020/3757] lr: 1.1143e-03 eta: 16:52:45 time: 0.4069 data_time: 0.0199 memory: 17006 grad_norm: 10.3356 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2703 loss: 1.2703 2022/07/30 01:42:47 - mmengine - INFO - Epoch(train) [142][1040/3757] lr: 1.1143e-03 eta: 16:52:37 time: 0.4394 data_time: 0.0226 memory: 17006 grad_norm: 10.6296 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2241 loss: 1.2241 2022/07/30 01:42:56 - mmengine - INFO - Epoch(train) [142][1060/3757] lr: 1.1143e-03 eta: 16:52:28 time: 0.4055 data_time: 0.0214 memory: 17006 grad_norm: 10.0135 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3961 loss: 1.3961 2022/07/30 01:43:04 - mmengine - INFO - Epoch(train) [142][1080/3757] lr: 1.1143e-03 eta: 16:52:19 time: 0.4045 data_time: 0.0209 memory: 17006 grad_norm: 10.1644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1510 loss: 1.1510 2022/07/30 01:43:12 - mmengine - INFO - Epoch(train) [142][1100/3757] lr: 1.1143e-03 eta: 16:52:11 time: 0.4188 data_time: 0.0216 memory: 17006 grad_norm: 10.0460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5731 loss: 1.5731 2022/07/30 01:43:21 - mmengine - INFO - Epoch(train) [142][1120/3757] lr: 1.1143e-03 eta: 16:52:03 time: 0.4259 data_time: 0.0212 memory: 17006 grad_norm: 10.1727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4361 loss: 1.4361 2022/07/30 01:43:29 - mmengine - INFO - Epoch(train) [142][1140/3757] lr: 1.1143e-03 eta: 16:51:55 time: 0.4138 data_time: 0.0215 memory: 17006 grad_norm: 10.7451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6048 loss: 1.6048 2022/07/30 01:43:37 - mmengine - INFO - Epoch(train) [142][1160/3757] lr: 1.1143e-03 eta: 16:51:46 time: 0.4128 data_time: 0.0217 memory: 17006 grad_norm: 10.7332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2727 loss: 1.2727 2022/07/30 01:43:46 - mmengine - INFO - Epoch(train) [142][1180/3757] lr: 1.1143e-03 eta: 16:51:38 time: 0.4136 data_time: 0.0214 memory: 17006 grad_norm: 10.2885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1845 loss: 1.1845 2022/07/30 01:43:54 - mmengine - INFO - Epoch(train) [142][1200/3757] lr: 1.1143e-03 eta: 16:51:29 time: 0.4053 data_time: 0.0212 memory: 17006 grad_norm: 10.8741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1610 loss: 1.1610 2022/07/30 01:44:02 - mmengine - INFO - Epoch(train) [142][1220/3757] lr: 1.1143e-03 eta: 16:51:20 time: 0.4084 data_time: 0.0202 memory: 17006 grad_norm: 10.3207 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2878 loss: 1.2878 2022/07/30 01:44:10 - mmengine - INFO - Epoch(train) [142][1240/3757] lr: 1.1143e-03 eta: 16:51:12 time: 0.4194 data_time: 0.0226 memory: 17006 grad_norm: 10.7590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2849 loss: 1.2849 2022/07/30 01:44:19 - mmengine - INFO - Epoch(train) [142][1260/3757] lr: 1.1143e-03 eta: 16:51:04 time: 0.4174 data_time: 0.0214 memory: 17006 grad_norm: 10.5357 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3384 loss: 1.3384 2022/07/30 01:44:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:44:27 - mmengine - INFO - Epoch(train) [142][1280/3757] lr: 1.1143e-03 eta: 16:50:55 time: 0.4198 data_time: 0.0219 memory: 17006 grad_norm: 10.8264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5107 loss: 1.5107 2022/07/30 01:44:36 - mmengine - INFO - Epoch(train) [142][1300/3757] lr: 1.1143e-03 eta: 16:50:47 time: 0.4255 data_time: 0.0219 memory: 17006 grad_norm: 10.6874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1396 loss: 1.1396 2022/07/30 01:44:44 - mmengine - INFO - Epoch(train) [142][1320/3757] lr: 1.1143e-03 eta: 16:50:38 time: 0.4056 data_time: 0.0208 memory: 17006 grad_norm: 10.8902 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2853 loss: 1.2853 2022/07/30 01:44:52 - mmengine - INFO - Epoch(train) [142][1340/3757] lr: 1.1143e-03 eta: 16:50:30 time: 0.4231 data_time: 0.0231 memory: 17006 grad_norm: 10.9498 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2820 loss: 1.2820 2022/07/30 01:45:01 - mmengine - INFO - Epoch(train) [142][1360/3757] lr: 1.1143e-03 eta: 16:50:22 time: 0.4183 data_time: 0.0199 memory: 17006 grad_norm: 10.5570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/07/30 01:45:09 - mmengine - INFO - Epoch(train) [142][1380/3757] lr: 1.1143e-03 eta: 16:50:14 time: 0.4311 data_time: 0.0226 memory: 17006 grad_norm: 10.1572 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1926 loss: 1.1926 2022/07/30 01:45:17 - mmengine - INFO - Epoch(train) [142][1400/3757] lr: 1.1143e-03 eta: 16:50:05 time: 0.4046 data_time: 0.0198 memory: 17006 grad_norm: 10.3164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3393 loss: 1.3393 2022/07/30 01:45:26 - mmengine - INFO - Epoch(train) [142][1420/3757] lr: 1.1143e-03 eta: 16:49:58 time: 0.4402 data_time: 0.0227 memory: 17006 grad_norm: 10.4082 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3542 loss: 1.3542 2022/07/30 01:45:34 - mmengine - INFO - Epoch(train) [142][1440/3757] lr: 1.1143e-03 eta: 16:49:49 time: 0.4035 data_time: 0.0194 memory: 17006 grad_norm: 10.3488 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8371 loss: 1.8371 2022/07/30 01:45:42 - mmengine - INFO - Epoch(train) [142][1460/3757] lr: 1.1143e-03 eta: 16:49:40 time: 0.4078 data_time: 0.0211 memory: 17006 grad_norm: 10.2134 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1841 loss: 1.1841 2022/07/30 01:45:51 - mmengine - INFO - Epoch(train) [142][1480/3757] lr: 1.1143e-03 eta: 16:49:32 time: 0.4232 data_time: 0.0213 memory: 17006 grad_norm: 10.4885 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4441 loss: 1.4441 2022/07/30 01:45:59 - mmengine - INFO - Epoch(train) [142][1500/3757] lr: 1.1143e-03 eta: 16:49:23 time: 0.4069 data_time: 0.0215 memory: 17006 grad_norm: 10.6890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/07/30 01:46:08 - mmengine - INFO - Epoch(train) [142][1520/3757] lr: 1.1143e-03 eta: 16:49:16 time: 0.4483 data_time: 0.0227 memory: 17006 grad_norm: 10.5785 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4419 loss: 1.4419 2022/07/30 01:46:16 - mmengine - INFO - Epoch(train) [142][1540/3757] lr: 1.1143e-03 eta: 16:49:07 time: 0.4075 data_time: 0.0221 memory: 17006 grad_norm: 10.9952 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4448 loss: 1.4448 2022/07/30 01:46:24 - mmengine - INFO - Epoch(train) [142][1560/3757] lr: 1.1143e-03 eta: 16:48:59 time: 0.4052 data_time: 0.0212 memory: 17006 grad_norm: 10.8007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8449 loss: 1.8449 2022/07/30 01:46:33 - mmengine - INFO - Epoch(train) [142][1580/3757] lr: 1.1143e-03 eta: 16:48:50 time: 0.4181 data_time: 0.0219 memory: 17006 grad_norm: 10.6120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3799 loss: 1.3799 2022/07/30 01:46:41 - mmengine - INFO - Epoch(train) [142][1600/3757] lr: 1.1143e-03 eta: 16:48:42 time: 0.4079 data_time: 0.0225 memory: 17006 grad_norm: 10.3508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3891 loss: 1.3891 2022/07/30 01:46:49 - mmengine - INFO - Epoch(train) [142][1620/3757] lr: 1.1143e-03 eta: 16:48:33 time: 0.4166 data_time: 0.0224 memory: 17006 grad_norm: 10.7941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6966 loss: 1.6966 2022/07/30 01:46:58 - mmengine - INFO - Epoch(train) [142][1640/3757] lr: 1.1143e-03 eta: 16:48:25 time: 0.4083 data_time: 0.0223 memory: 17006 grad_norm: 10.7440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6222 loss: 1.6222 2022/07/30 01:47:06 - mmengine - INFO - Epoch(train) [142][1660/3757] lr: 1.1143e-03 eta: 16:48:16 time: 0.4158 data_time: 0.0224 memory: 17006 grad_norm: 10.7882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2949 loss: 1.2949 2022/07/30 01:47:14 - mmengine - INFO - Epoch(train) [142][1680/3757] lr: 1.1143e-03 eta: 16:48:07 time: 0.4060 data_time: 0.0208 memory: 17006 grad_norm: 10.4106 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1740 loss: 1.1740 2022/07/30 01:47:22 - mmengine - INFO - Epoch(train) [142][1700/3757] lr: 1.1143e-03 eta: 16:47:59 time: 0.4079 data_time: 0.0212 memory: 17006 grad_norm: 10.2843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3487 loss: 1.3487 2022/07/30 01:47:31 - mmengine - INFO - Epoch(train) [142][1720/3757] lr: 1.1143e-03 eta: 16:47:50 time: 0.4176 data_time: 0.0219 memory: 17006 grad_norm: 10.3854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3168 loss: 1.3168 2022/07/30 01:47:39 - mmengine - INFO - Epoch(train) [142][1740/3757] lr: 1.1143e-03 eta: 16:47:42 time: 0.4123 data_time: 0.0215 memory: 17006 grad_norm: 10.4641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0720 loss: 1.0720 2022/07/30 01:47:47 - mmengine - INFO - Epoch(train) [142][1760/3757] lr: 1.1143e-03 eta: 16:47:34 time: 0.4226 data_time: 0.0221 memory: 17006 grad_norm: 10.9756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4830 loss: 1.4830 2022/07/30 01:47:55 - mmengine - INFO - Epoch(train) [142][1780/3757] lr: 1.1143e-03 eta: 16:47:25 time: 0.4045 data_time: 0.0201 memory: 17006 grad_norm: 10.8138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3927 loss: 1.3927 2022/07/30 01:48:04 - mmengine - INFO - Epoch(train) [142][1800/3757] lr: 1.1143e-03 eta: 16:47:16 time: 0.4048 data_time: 0.0202 memory: 17006 grad_norm: 10.3915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3133 loss: 1.3133 2022/07/30 01:48:12 - mmengine - INFO - Epoch(train) [142][1820/3757] lr: 1.1143e-03 eta: 16:47:08 time: 0.4305 data_time: 0.0215 memory: 17006 grad_norm: 10.7789 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4913 loss: 1.4913 2022/07/30 01:48:20 - mmengine - INFO - Epoch(train) [142][1840/3757] lr: 1.1143e-03 eta: 16:47:00 time: 0.4061 data_time: 0.0215 memory: 17006 grad_norm: 10.3959 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3983 loss: 1.3983 2022/07/30 01:48:29 - mmengine - INFO - Epoch(train) [142][1860/3757] lr: 1.1143e-03 eta: 16:46:52 time: 0.4292 data_time: 0.0232 memory: 17006 grad_norm: 10.5517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1960 loss: 1.1960 2022/07/30 01:48:37 - mmengine - INFO - Epoch(train) [142][1880/3757] lr: 1.1143e-03 eta: 16:46:43 time: 0.4068 data_time: 0.0209 memory: 17006 grad_norm: 9.9761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4246 loss: 1.4246 2022/07/30 01:48:46 - mmengine - INFO - Epoch(train) [142][1900/3757] lr: 1.1143e-03 eta: 16:46:35 time: 0.4238 data_time: 0.0199 memory: 17006 grad_norm: 10.9462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4920 loss: 1.4920 2022/07/30 01:48:54 - mmengine - INFO - Epoch(train) [142][1920/3757] lr: 1.1143e-03 eta: 16:46:26 time: 0.4060 data_time: 0.0206 memory: 17006 grad_norm: 10.5110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3578 loss: 1.3578 2022/07/30 01:49:02 - mmengine - INFO - Epoch(train) [142][1940/3757] lr: 1.1143e-03 eta: 16:46:17 time: 0.4068 data_time: 0.0208 memory: 17006 grad_norm: 10.8179 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1603 loss: 1.1603 2022/07/30 01:49:10 - mmengine - INFO - Epoch(train) [142][1960/3757] lr: 1.1143e-03 eta: 16:46:09 time: 0.4217 data_time: 0.0224 memory: 17006 grad_norm: 10.6968 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3958 loss: 1.3958 2022/07/30 01:49:19 - mmengine - INFO - Epoch(train) [142][1980/3757] lr: 1.1143e-03 eta: 16:46:00 time: 0.4065 data_time: 0.0209 memory: 17006 grad_norm: 10.4096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3301 loss: 1.3301 2022/07/30 01:49:27 - mmengine - INFO - Epoch(train) [142][2000/3757] lr: 1.1143e-03 eta: 16:45:52 time: 0.4239 data_time: 0.0210 memory: 17006 grad_norm: 10.4487 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5253 loss: 1.5253 2022/07/30 01:49:35 - mmengine - INFO - Epoch(train) [142][2020/3757] lr: 1.1143e-03 eta: 16:45:44 time: 0.4065 data_time: 0.0214 memory: 17006 grad_norm: 10.5429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3049 loss: 1.3049 2022/07/30 01:49:43 - mmengine - INFO - Epoch(train) [142][2040/3757] lr: 1.1143e-03 eta: 16:45:35 time: 0.4040 data_time: 0.0200 memory: 17006 grad_norm: 10.5790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1882 loss: 1.1882 2022/07/30 01:49:52 - mmengine - INFO - Epoch(train) [142][2060/3757] lr: 1.1143e-03 eta: 16:45:27 time: 0.4245 data_time: 0.0226 memory: 17006 grad_norm: 9.8894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3746 loss: 1.3746 2022/07/30 01:50:01 - mmengine - INFO - Epoch(train) [142][2080/3757] lr: 1.1143e-03 eta: 16:45:19 time: 0.4378 data_time: 0.0208 memory: 17006 grad_norm: 10.7443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5591 loss: 1.5591 2022/07/30 01:50:09 - mmengine - INFO - Epoch(train) [142][2100/3757] lr: 1.1143e-03 eta: 16:45:11 time: 0.4273 data_time: 0.0244 memory: 17006 grad_norm: 11.1614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/07/30 01:50:17 - mmengine - INFO - Epoch(train) [142][2120/3757] lr: 1.1143e-03 eta: 16:45:02 time: 0.4092 data_time: 0.0218 memory: 17006 grad_norm: 10.5087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3882 loss: 1.3882 2022/07/30 01:50:26 - mmengine - INFO - Epoch(train) [142][2140/3757] lr: 1.1143e-03 eta: 16:44:54 time: 0.4243 data_time: 0.0268 memory: 17006 grad_norm: 10.6935 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2267 loss: 1.2267 2022/07/30 01:50:34 - mmengine - INFO - Epoch(train) [142][2160/3757] lr: 1.1143e-03 eta: 16:44:45 time: 0.4034 data_time: 0.0207 memory: 17006 grad_norm: 10.4932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2449 loss: 1.2449 2022/07/30 01:50:43 - mmengine - INFO - Epoch(train) [142][2180/3757] lr: 1.1143e-03 eta: 16:44:38 time: 0.4383 data_time: 0.0214 memory: 17006 grad_norm: 9.8432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4680 loss: 1.4680 2022/07/30 01:50:51 - mmengine - INFO - Epoch(train) [142][2200/3757] lr: 1.1143e-03 eta: 16:44:29 time: 0.4150 data_time: 0.0226 memory: 17006 grad_norm: 10.5213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4205 loss: 1.4205 2022/07/30 01:50:59 - mmengine - INFO - Epoch(train) [142][2220/3757] lr: 1.1143e-03 eta: 16:44:21 time: 0.4075 data_time: 0.0218 memory: 17006 grad_norm: 10.0600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/07/30 01:51:08 - mmengine - INFO - Epoch(train) [142][2240/3757] lr: 1.1143e-03 eta: 16:44:12 time: 0.4281 data_time: 0.0208 memory: 17006 grad_norm: 10.4305 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0320 loss: 1.0320 2022/07/30 01:51:16 - mmengine - INFO - Epoch(train) [142][2260/3757] lr: 1.1143e-03 eta: 16:44:04 time: 0.4073 data_time: 0.0223 memory: 17006 grad_norm: 10.4096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4581 loss: 1.4581 2022/07/30 01:51:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:51:24 - mmengine - INFO - Epoch(train) [142][2280/3757] lr: 1.1143e-03 eta: 16:43:55 time: 0.4063 data_time: 0.0214 memory: 17006 grad_norm: 10.4780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2977 loss: 1.2977 2022/07/30 01:51:33 - mmengine - INFO - Epoch(train) [142][2300/3757] lr: 1.1143e-03 eta: 16:43:47 time: 0.4216 data_time: 0.0214 memory: 17006 grad_norm: 10.6117 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7086 loss: 1.7086 2022/07/30 01:51:41 - mmengine - INFO - Epoch(train) [142][2320/3757] lr: 1.1143e-03 eta: 16:43:38 time: 0.4086 data_time: 0.0203 memory: 17006 grad_norm: 10.3496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0892 loss: 1.0892 2022/07/30 01:51:49 - mmengine - INFO - Epoch(train) [142][2340/3757] lr: 1.1143e-03 eta: 16:43:30 time: 0.4129 data_time: 0.0226 memory: 17006 grad_norm: 10.5272 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/07/30 01:51:58 - mmengine - INFO - Epoch(train) [142][2360/3757] lr: 1.1143e-03 eta: 16:43:22 time: 0.4242 data_time: 0.0235 memory: 17006 grad_norm: 10.4834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2045 loss: 1.2045 2022/07/30 01:52:06 - mmengine - INFO - Epoch(train) [142][2380/3757] lr: 1.1143e-03 eta: 16:43:13 time: 0.4116 data_time: 0.0237 memory: 17006 grad_norm: 10.8061 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3124 loss: 1.3124 2022/07/30 01:52:14 - mmengine - INFO - Epoch(train) [142][2400/3757] lr: 1.1143e-03 eta: 16:43:04 time: 0.4058 data_time: 0.0203 memory: 17006 grad_norm: 10.4271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2913 loss: 1.2913 2022/07/30 01:52:22 - mmengine - INFO - Epoch(train) [142][2420/3757] lr: 1.1143e-03 eta: 16:42:56 time: 0.4119 data_time: 0.0204 memory: 17006 grad_norm: 10.7448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1171 loss: 1.1171 2022/07/30 01:52:31 - mmengine - INFO - Epoch(train) [142][2440/3757] lr: 1.1143e-03 eta: 16:42:47 time: 0.4137 data_time: 0.0227 memory: 17006 grad_norm: 10.5083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5014 loss: 1.5014 2022/07/30 01:52:39 - mmengine - INFO - Epoch(train) [142][2460/3757] lr: 1.1143e-03 eta: 16:42:39 time: 0.4208 data_time: 0.0192 memory: 17006 grad_norm: 10.8415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/07/30 01:52:47 - mmengine - INFO - Epoch(train) [142][2480/3757] lr: 1.1143e-03 eta: 16:42:31 time: 0.4159 data_time: 0.0226 memory: 17006 grad_norm: 10.8826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4985 loss: 1.4985 2022/07/30 01:52:56 - mmengine - INFO - Epoch(train) [142][2500/3757] lr: 1.1143e-03 eta: 16:42:22 time: 0.4047 data_time: 0.0200 memory: 17006 grad_norm: 10.6179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1534 loss: 1.1534 2022/07/30 01:53:04 - mmengine - INFO - Epoch(train) [142][2520/3757] lr: 1.1143e-03 eta: 16:42:14 time: 0.4171 data_time: 0.0209 memory: 17006 grad_norm: 10.7763 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6564 loss: 1.6564 2022/07/30 01:53:12 - mmengine - INFO - Epoch(train) [142][2540/3757] lr: 1.1143e-03 eta: 16:42:05 time: 0.4121 data_time: 0.0220 memory: 17006 grad_norm: 10.4613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5182 loss: 1.5182 2022/07/30 01:53:20 - mmengine - INFO - Epoch(train) [142][2560/3757] lr: 1.1143e-03 eta: 16:41:56 time: 0.4062 data_time: 0.0191 memory: 17006 grad_norm: 11.0731 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/07/30 01:53:29 - mmengine - INFO - Epoch(train) [142][2580/3757] lr: 1.1143e-03 eta: 16:41:48 time: 0.4280 data_time: 0.0232 memory: 17006 grad_norm: 10.5838 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5802 loss: 1.5802 2022/07/30 01:53:37 - mmengine - INFO - Epoch(train) [142][2600/3757] lr: 1.1143e-03 eta: 16:41:40 time: 0.4225 data_time: 0.0206 memory: 17006 grad_norm: 10.1523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5123 loss: 1.5123 2022/07/30 01:53:46 - mmengine - INFO - Epoch(train) [142][2620/3757] lr: 1.1143e-03 eta: 16:41:32 time: 0.4073 data_time: 0.0208 memory: 17006 grad_norm: 10.4577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6087 loss: 1.6087 2022/07/30 01:53:54 - mmengine - INFO - Epoch(train) [142][2640/3757] lr: 1.1143e-03 eta: 16:41:24 time: 0.4318 data_time: 0.0196 memory: 17006 grad_norm: 9.8188 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0603 loss: 1.0603 2022/07/30 01:54:02 - mmengine - INFO - Epoch(train) [142][2660/3757] lr: 1.1143e-03 eta: 16:41:15 time: 0.4053 data_time: 0.0205 memory: 17006 grad_norm: 10.3423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1189 loss: 1.1189 2022/07/30 01:54:11 - mmengine - INFO - Epoch(train) [142][2680/3757] lr: 1.1143e-03 eta: 16:41:07 time: 0.4410 data_time: 0.0230 memory: 17006 grad_norm: 10.7997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4989 loss: 1.4989 2022/07/30 01:54:19 - mmengine - INFO - Epoch(train) [142][2700/3757] lr: 1.1143e-03 eta: 16:40:59 time: 0.4069 data_time: 0.0215 memory: 17006 grad_norm: 10.5619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3158 loss: 1.3158 2022/07/30 01:54:28 - mmengine - INFO - Epoch(train) [142][2720/3757] lr: 1.1143e-03 eta: 16:40:50 time: 0.4149 data_time: 0.0219 memory: 17006 grad_norm: 10.8459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3939 loss: 1.3939 2022/07/30 01:54:36 - mmengine - INFO - Epoch(train) [142][2740/3757] lr: 1.1143e-03 eta: 16:40:42 time: 0.4109 data_time: 0.0198 memory: 17006 grad_norm: 10.9174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3989 loss: 1.3989 2022/07/30 01:54:44 - mmengine - INFO - Epoch(train) [142][2760/3757] lr: 1.1143e-03 eta: 16:40:33 time: 0.4050 data_time: 0.0191 memory: 17006 grad_norm: 10.3064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4155 loss: 1.4155 2022/07/30 01:54:53 - mmengine - INFO - Epoch(train) [142][2780/3757] lr: 1.1143e-03 eta: 16:40:25 time: 0.4269 data_time: 0.0208 memory: 17006 grad_norm: 10.7765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4658 loss: 1.4658 2022/07/30 01:55:01 - mmengine - INFO - Epoch(train) [142][2800/3757] lr: 1.1143e-03 eta: 16:40:16 time: 0.4072 data_time: 0.0216 memory: 17006 grad_norm: 10.9494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/07/30 01:55:09 - mmengine - INFO - Epoch(train) [142][2820/3757] lr: 1.1143e-03 eta: 16:40:08 time: 0.4263 data_time: 0.0228 memory: 17006 grad_norm: 10.0368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4252 loss: 1.4252 2022/07/30 01:55:17 - mmengine - INFO - Epoch(train) [142][2840/3757] lr: 1.1143e-03 eta: 16:39:59 time: 0.4059 data_time: 0.0205 memory: 17006 grad_norm: 9.9499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4554 loss: 1.4554 2022/07/30 01:55:26 - mmengine - INFO - Epoch(train) [142][2860/3757] lr: 1.1143e-03 eta: 16:39:51 time: 0.4045 data_time: 0.0208 memory: 17006 grad_norm: 10.9891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/07/30 01:55:34 - mmengine - INFO - Epoch(train) [142][2880/3757] lr: 1.1143e-03 eta: 16:39:42 time: 0.4196 data_time: 0.0300 memory: 17006 grad_norm: 11.0493 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5125 loss: 1.5125 2022/07/30 01:55:42 - mmengine - INFO - Epoch(train) [142][2900/3757] lr: 1.1143e-03 eta: 16:39:34 time: 0.4033 data_time: 0.0206 memory: 17006 grad_norm: 10.8627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/07/30 01:55:51 - mmengine - INFO - Epoch(train) [142][2920/3757] lr: 1.1143e-03 eta: 16:39:25 time: 0.4275 data_time: 0.0222 memory: 17006 grad_norm: 11.4574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3859 loss: 1.3859 2022/07/30 01:55:59 - mmengine - INFO - Epoch(train) [142][2940/3757] lr: 1.1143e-03 eta: 16:39:17 time: 0.4061 data_time: 0.0206 memory: 17006 grad_norm: 10.6312 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5898 loss: 1.5898 2022/07/30 01:56:07 - mmengine - INFO - Epoch(train) [142][2960/3757] lr: 1.1143e-03 eta: 16:39:08 time: 0.4189 data_time: 0.0216 memory: 17006 grad_norm: 10.8122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4404 loss: 1.4404 2022/07/30 01:56:15 - mmengine - INFO - Epoch(train) [142][2980/3757] lr: 1.1143e-03 eta: 16:39:00 time: 0.4053 data_time: 0.0212 memory: 17006 grad_norm: 10.2153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/07/30 01:56:23 - mmengine - INFO - Epoch(train) [142][3000/3757] lr: 1.1143e-03 eta: 16:38:51 time: 0.4065 data_time: 0.0207 memory: 17006 grad_norm: 10.8008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2610 loss: 1.2610 2022/07/30 01:56:32 - mmengine - INFO - Epoch(train) [142][3020/3757] lr: 1.1143e-03 eta: 16:38:43 time: 0.4182 data_time: 0.0214 memory: 17006 grad_norm: 10.6073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4659 loss: 1.4659 2022/07/30 01:56:40 - mmengine - INFO - Epoch(train) [142][3040/3757] lr: 1.1143e-03 eta: 16:38:34 time: 0.4067 data_time: 0.0209 memory: 17006 grad_norm: 10.8944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0850 loss: 1.0850 2022/07/30 01:56:49 - mmengine - INFO - Epoch(train) [142][3060/3757] lr: 1.1143e-03 eta: 16:38:27 time: 0.4655 data_time: 0.0218 memory: 17006 grad_norm: 10.8208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2869 loss: 1.2869 2022/07/30 01:56:58 - mmengine - INFO - Epoch(train) [142][3080/3757] lr: 1.1143e-03 eta: 16:38:18 time: 0.4067 data_time: 0.0205 memory: 17006 grad_norm: 10.7304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2663 loss: 1.2663 2022/07/30 01:57:06 - mmengine - INFO - Epoch(train) [142][3100/3757] lr: 1.1143e-03 eta: 16:38:10 time: 0.4050 data_time: 0.0204 memory: 17006 grad_norm: 10.7953 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5462 loss: 1.5462 2022/07/30 01:57:14 - mmengine - INFO - Epoch(train) [142][3120/3757] lr: 1.1143e-03 eta: 16:38:02 time: 0.4236 data_time: 0.0306 memory: 17006 grad_norm: 10.3362 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4226 loss: 1.4226 2022/07/30 01:57:22 - mmengine - INFO - Epoch(train) [142][3140/3757] lr: 1.1143e-03 eta: 16:37:53 time: 0.4046 data_time: 0.0203 memory: 17006 grad_norm: 11.0724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4717 loss: 1.4717 2022/07/30 01:57:31 - mmengine - INFO - Epoch(train) [142][3160/3757] lr: 1.1143e-03 eta: 16:37:45 time: 0.4485 data_time: 0.0221 memory: 17006 grad_norm: 11.0314 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3793 loss: 1.3793 2022/07/30 01:57:39 - mmengine - INFO - Epoch(train) [142][3180/3757] lr: 1.1143e-03 eta: 16:37:37 time: 0.4045 data_time: 0.0202 memory: 17006 grad_norm: 9.8806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2948 loss: 1.2948 2022/07/30 01:57:48 - mmengine - INFO - Epoch(train) [142][3200/3757] lr: 1.1143e-03 eta: 16:37:28 time: 0.4143 data_time: 0.0216 memory: 17006 grad_norm: 10.7050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5116 loss: 1.5116 2022/07/30 01:57:56 - mmengine - INFO - Epoch(train) [142][3220/3757] lr: 1.1143e-03 eta: 16:37:20 time: 0.4068 data_time: 0.0210 memory: 17006 grad_norm: 10.7217 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1185 loss: 1.1185 2022/07/30 01:58:04 - mmengine - INFO - Epoch(train) [142][3240/3757] lr: 1.1143e-03 eta: 16:37:12 time: 0.4303 data_time: 0.0210 memory: 17006 grad_norm: 10.6916 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3349 loss: 1.3349 2022/07/30 01:58:13 - mmengine - INFO - Epoch(train) [142][3260/3757] lr: 1.1143e-03 eta: 16:37:03 time: 0.4170 data_time: 0.0214 memory: 17006 grad_norm: 10.7223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1209 loss: 1.1209 2022/07/30 01:58:14 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 01:58:21 - mmengine - INFO - Epoch(train) [142][3280/3757] lr: 1.1143e-03 eta: 16:36:55 time: 0.4075 data_time: 0.0222 memory: 17006 grad_norm: 10.6625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0319 loss: 1.0319 2022/07/30 01:58:29 - mmengine - INFO - Epoch(train) [142][3300/3757] lr: 1.1143e-03 eta: 16:36:46 time: 0.4154 data_time: 0.0215 memory: 17006 grad_norm: 10.3993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2093 loss: 1.2093 2022/07/30 01:58:38 - mmengine - INFO - Epoch(train) [142][3320/3757] lr: 1.1143e-03 eta: 16:36:38 time: 0.4430 data_time: 0.0242 memory: 17006 grad_norm: 10.8603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6577 loss: 1.6577 2022/07/30 01:58:47 - mmengine - INFO - Epoch(train) [142][3340/3757] lr: 1.1143e-03 eta: 16:36:30 time: 0.4131 data_time: 0.0225 memory: 17006 grad_norm: 10.4779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2915 loss: 1.2915 2022/07/30 01:58:55 - mmengine - INFO - Epoch(train) [142][3360/3757] lr: 1.1143e-03 eta: 16:36:21 time: 0.4054 data_time: 0.0203 memory: 17006 grad_norm: 11.0023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6895 loss: 1.6895 2022/07/30 01:59:03 - mmengine - INFO - Epoch(train) [142][3380/3757] lr: 1.1143e-03 eta: 16:36:13 time: 0.4347 data_time: 0.0216 memory: 17006 grad_norm: 10.9098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4939 loss: 1.4939 2022/07/30 01:59:12 - mmengine - INFO - Epoch(train) [142][3400/3757] lr: 1.1143e-03 eta: 16:36:05 time: 0.4272 data_time: 0.0225 memory: 17006 grad_norm: 10.4438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3294 loss: 1.3294 2022/07/30 01:59:20 - mmengine - INFO - Epoch(train) [142][3420/3757] lr: 1.1143e-03 eta: 16:35:57 time: 0.4204 data_time: 0.0215 memory: 17006 grad_norm: 10.5936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2542 loss: 1.2542 2022/07/30 01:59:29 - mmengine - INFO - Epoch(train) [142][3440/3757] lr: 1.1143e-03 eta: 16:35:49 time: 0.4144 data_time: 0.0226 memory: 17006 grad_norm: 10.8233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5514 loss: 1.5514 2022/07/30 01:59:37 - mmengine - INFO - Epoch(train) [142][3460/3757] lr: 1.1143e-03 eta: 16:35:41 time: 0.4247 data_time: 0.0209 memory: 17006 grad_norm: 10.7543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2474 loss: 1.2474 2022/07/30 01:59:45 - mmengine - INFO - Epoch(train) [142][3480/3757] lr: 1.1143e-03 eta: 16:35:32 time: 0.4048 data_time: 0.0209 memory: 17006 grad_norm: 11.0338 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4583 loss: 1.4583 2022/07/30 01:59:54 - mmengine - INFO - Epoch(train) [142][3500/3757] lr: 1.1143e-03 eta: 16:35:23 time: 0.4152 data_time: 0.0223 memory: 17006 grad_norm: 11.0371 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4074 loss: 1.4074 2022/07/30 02:00:02 - mmengine - INFO - Epoch(train) [142][3520/3757] lr: 1.1143e-03 eta: 16:35:15 time: 0.4046 data_time: 0.0195 memory: 17006 grad_norm: 10.3904 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5071 loss: 1.5071 2022/07/30 02:00:14 - mmengine - INFO - Epoch(train) [142][3540/3757] lr: 1.1143e-03 eta: 16:35:12 time: 0.5985 data_time: 0.0255 memory: 17006 grad_norm: 10.7392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2344 loss: 1.2344 2022/07/30 02:00:22 - mmengine - INFO - Epoch(train) [142][3560/3757] lr: 1.1143e-03 eta: 16:35:03 time: 0.4072 data_time: 0.0228 memory: 17006 grad_norm: 11.0669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2959 loss: 1.2959 2022/07/30 02:00:31 - mmengine - INFO - Epoch(train) [142][3580/3757] lr: 1.1143e-03 eta: 16:34:55 time: 0.4384 data_time: 0.0202 memory: 17006 grad_norm: 10.7499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3895 loss: 1.3895 2022/07/30 02:00:39 - mmengine - INFO - Epoch(train) [142][3600/3757] lr: 1.1143e-03 eta: 16:34:46 time: 0.4052 data_time: 0.0214 memory: 17006 grad_norm: 10.7273 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7786 loss: 1.7786 2022/07/30 02:00:48 - mmengine - INFO - Epoch(train) [142][3620/3757] lr: 1.1143e-03 eta: 16:34:39 time: 0.4532 data_time: 0.0211 memory: 17006 grad_norm: 10.3395 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3804 loss: 1.3804 2022/07/30 02:00:56 - mmengine - INFO - Epoch(train) [142][3640/3757] lr: 1.1143e-03 eta: 16:34:30 time: 0.4048 data_time: 0.0208 memory: 17006 grad_norm: 11.0888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3065 loss: 1.3065 2022/07/30 02:01:04 - mmengine - INFO - Epoch(train) [142][3660/3757] lr: 1.1143e-03 eta: 16:34:22 time: 0.4079 data_time: 0.0217 memory: 17006 grad_norm: 10.6461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5488 loss: 1.5488 2022/07/30 02:01:13 - mmengine - INFO - Epoch(train) [142][3680/3757] lr: 1.1143e-03 eta: 16:34:14 time: 0.4387 data_time: 0.0222 memory: 17006 grad_norm: 11.1567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4451 loss: 1.4451 2022/07/30 02:01:21 - mmengine - INFO - Epoch(train) [142][3700/3757] lr: 1.1143e-03 eta: 16:34:06 time: 0.4200 data_time: 0.0195 memory: 17006 grad_norm: 10.6831 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3222 loss: 1.3222 2022/07/30 02:01:30 - mmengine - INFO - Epoch(train) [142][3720/3757] lr: 1.1143e-03 eta: 16:33:58 time: 0.4241 data_time: 0.0223 memory: 17006 grad_norm: 10.9268 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6015 loss: 1.6015 2022/07/30 02:01:38 - mmengine - INFO - Epoch(train) [142][3740/3757] lr: 1.1143e-03 eta: 16:33:49 time: 0.4079 data_time: 0.0199 memory: 17006 grad_norm: 10.2365 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0710 loss: 1.0710 2022/07/30 02:01:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:01:45 - mmengine - INFO - Epoch(train) [142][3757/3757] lr: 1.1143e-03 eta: 16:33:49 time: 0.3946 data_time: 0.0195 memory: 17006 grad_norm: 10.8072 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.7195 loss: 1.7195 2022/07/30 02:01:45 - mmengine - INFO - Saving checkpoint at 142 epochs 2022/07/30 02:02:00 - mmengine - INFO - Epoch(train) [143][20/3757] lr: 1.0599e-03 eta: 16:33:26 time: 0.4982 data_time: 0.0829 memory: 17006 grad_norm: 10.1290 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3157 loss: 1.3157 2022/07/30 02:02:09 - mmengine - INFO - Epoch(train) [143][40/3757] lr: 1.0599e-03 eta: 16:33:17 time: 0.4268 data_time: 0.0235 memory: 17006 grad_norm: 10.8749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2834 loss: 1.2834 2022/07/30 02:02:17 - mmengine - INFO - Epoch(train) [143][60/3757] lr: 1.0599e-03 eta: 16:33:09 time: 0.4079 data_time: 0.0187 memory: 17006 grad_norm: 10.5120 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5969 loss: 1.5969 2022/07/30 02:02:25 - mmengine - INFO - Epoch(train) [143][80/3757] lr: 1.0599e-03 eta: 16:33:00 time: 0.4056 data_time: 0.0216 memory: 17006 grad_norm: 10.8057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4604 loss: 1.4604 2022/07/30 02:02:34 - mmengine - INFO - Epoch(train) [143][100/3757] lr: 1.0599e-03 eta: 16:32:52 time: 0.4128 data_time: 0.0165 memory: 17006 grad_norm: 10.6797 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2118 loss: 1.2118 2022/07/30 02:02:42 - mmengine - INFO - Epoch(train) [143][120/3757] lr: 1.0599e-03 eta: 16:32:43 time: 0.4110 data_time: 0.0218 memory: 17006 grad_norm: 10.5049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3320 loss: 1.3320 2022/07/30 02:02:50 - mmengine - INFO - Epoch(train) [143][140/3757] lr: 1.0599e-03 eta: 16:32:35 time: 0.4172 data_time: 0.0192 memory: 17006 grad_norm: 10.5713 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3763 loss: 1.3763 2022/07/30 02:02:59 - mmengine - INFO - Epoch(train) [143][160/3757] lr: 1.0599e-03 eta: 16:32:27 time: 0.4275 data_time: 0.0236 memory: 17006 grad_norm: 10.5323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1456 loss: 1.1456 2022/07/30 02:03:07 - mmengine - INFO - Epoch(train) [143][180/3757] lr: 1.0599e-03 eta: 16:32:18 time: 0.4128 data_time: 0.0190 memory: 17006 grad_norm: 10.1625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1828 loss: 1.1828 2022/07/30 02:03:15 - mmengine - INFO - Epoch(train) [143][200/3757] lr: 1.0599e-03 eta: 16:32:09 time: 0.4036 data_time: 0.0204 memory: 17006 grad_norm: 10.4201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6023 loss: 1.6023 2022/07/30 02:03:23 - mmengine - INFO - Epoch(train) [143][220/3757] lr: 1.0599e-03 eta: 16:32:01 time: 0.4076 data_time: 0.0192 memory: 17006 grad_norm: 10.2446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2631 loss: 1.2631 2022/07/30 02:03:32 - mmengine - INFO - Epoch(train) [143][240/3757] lr: 1.0599e-03 eta: 16:31:53 time: 0.4365 data_time: 0.0235 memory: 17006 grad_norm: 10.0924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1172 loss: 1.1172 2022/07/30 02:03:40 - mmengine - INFO - Epoch(train) [143][260/3757] lr: 1.0599e-03 eta: 16:31:44 time: 0.4041 data_time: 0.0187 memory: 17006 grad_norm: 10.3542 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3452 loss: 1.3452 2022/07/30 02:03:49 - mmengine - INFO - Epoch(train) [143][280/3757] lr: 1.0599e-03 eta: 16:31:36 time: 0.4162 data_time: 0.0216 memory: 17006 grad_norm: 10.5336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3520 loss: 1.3520 2022/07/30 02:03:57 - mmengine - INFO - Epoch(train) [143][300/3757] lr: 1.0599e-03 eta: 16:31:27 time: 0.4079 data_time: 0.0177 memory: 17006 grad_norm: 10.4606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2476 loss: 1.2476 2022/07/30 02:04:05 - mmengine - INFO - Epoch(train) [143][320/3757] lr: 1.0599e-03 eta: 16:31:19 time: 0.4068 data_time: 0.0216 memory: 17006 grad_norm: 10.7887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3372 loss: 1.3372 2022/07/30 02:04:13 - mmengine - INFO - Epoch(train) [143][340/3757] lr: 1.0599e-03 eta: 16:31:10 time: 0.4155 data_time: 0.0196 memory: 17006 grad_norm: 10.4748 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6323 loss: 1.6323 2022/07/30 02:04:22 - mmengine - INFO - Epoch(train) [143][360/3757] lr: 1.0599e-03 eta: 16:31:02 time: 0.4215 data_time: 0.0217 memory: 17006 grad_norm: 10.5326 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3081 loss: 1.3081 2022/07/30 02:04:30 - mmengine - INFO - Epoch(train) [143][380/3757] lr: 1.0599e-03 eta: 16:30:53 time: 0.4156 data_time: 0.0200 memory: 17006 grad_norm: 10.7560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5184 loss: 1.5184 2022/07/30 02:04:38 - mmengine - INFO - Epoch(train) [143][400/3757] lr: 1.0599e-03 eta: 16:30:45 time: 0.4183 data_time: 0.0212 memory: 17006 grad_norm: 11.1487 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.7693 loss: 1.7693 2022/07/30 02:04:47 - mmengine - INFO - Epoch(train) [143][420/3757] lr: 1.0599e-03 eta: 16:30:37 time: 0.4106 data_time: 0.0209 memory: 17006 grad_norm: 10.6597 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2873 loss: 1.2873 2022/07/30 02:04:55 - mmengine - INFO - Epoch(train) [143][440/3757] lr: 1.0599e-03 eta: 16:30:28 time: 0.4125 data_time: 0.0217 memory: 17006 grad_norm: 10.6309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2522 loss: 1.2522 2022/07/30 02:05:03 - mmengine - INFO - Epoch(train) [143][460/3757] lr: 1.0599e-03 eta: 16:30:20 time: 0.4250 data_time: 0.0193 memory: 17006 grad_norm: 10.1179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1396 loss: 1.1396 2022/07/30 02:05:12 - mmengine - INFO - Epoch(train) [143][480/3757] lr: 1.0599e-03 eta: 16:30:12 time: 0.4272 data_time: 0.0236 memory: 17006 grad_norm: 10.4586 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4476 loss: 1.4476 2022/07/30 02:05:20 - mmengine - INFO - Epoch(train) [143][500/3757] lr: 1.0599e-03 eta: 16:30:03 time: 0.4100 data_time: 0.0197 memory: 17006 grad_norm: 10.1002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5910 loss: 1.5910 2022/07/30 02:05:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:05:29 - mmengine - INFO - Epoch(train) [143][520/3757] lr: 1.0599e-03 eta: 16:29:56 time: 0.4370 data_time: 0.0235 memory: 17006 grad_norm: 10.7777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2503 loss: 1.2503 2022/07/30 02:05:37 - mmengine - INFO - Epoch(train) [143][540/3757] lr: 1.0599e-03 eta: 16:29:47 time: 0.4054 data_time: 0.0186 memory: 17006 grad_norm: 10.9808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2235 loss: 1.2235 2022/07/30 02:05:45 - mmengine - INFO - Epoch(train) [143][560/3757] lr: 1.0599e-03 eta: 16:29:38 time: 0.4055 data_time: 0.0216 memory: 17006 grad_norm: 10.9191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3723 loss: 1.3723 2022/07/30 02:05:54 - mmengine - INFO - Epoch(train) [143][580/3757] lr: 1.0599e-03 eta: 16:29:30 time: 0.4318 data_time: 0.0190 memory: 17006 grad_norm: 10.9360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6273 loss: 1.6273 2022/07/30 02:06:02 - mmengine - INFO - Epoch(train) [143][600/3757] lr: 1.0599e-03 eta: 16:29:22 time: 0.4076 data_time: 0.0207 memory: 17006 grad_norm: 10.7484 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1623 loss: 1.1623 2022/07/30 02:06:11 - mmengine - INFO - Epoch(train) [143][620/3757] lr: 1.0599e-03 eta: 16:29:14 time: 0.4348 data_time: 0.0187 memory: 17006 grad_norm: 10.5109 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4342 loss: 1.4342 2022/07/30 02:06:19 - mmengine - INFO - Epoch(train) [143][640/3757] lr: 1.0599e-03 eta: 16:29:05 time: 0.4068 data_time: 0.0224 memory: 17006 grad_norm: 10.6936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3566 loss: 1.3566 2022/07/30 02:06:28 - mmengine - INFO - Epoch(train) [143][660/3757] lr: 1.0599e-03 eta: 16:28:58 time: 0.4468 data_time: 0.0233 memory: 17006 grad_norm: 10.7615 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2517 loss: 1.2517 2022/07/30 02:06:36 - mmengine - INFO - Epoch(train) [143][680/3757] lr: 1.0599e-03 eta: 16:28:49 time: 0.4058 data_time: 0.0213 memory: 17006 grad_norm: 10.4749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2215 loss: 1.2215 2022/07/30 02:06:44 - mmengine - INFO - Epoch(train) [143][700/3757] lr: 1.0599e-03 eta: 16:28:40 time: 0.4059 data_time: 0.0182 memory: 17006 grad_norm: 10.3866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3926 loss: 1.3926 2022/07/30 02:06:53 - mmengine - INFO - Epoch(train) [143][720/3757] lr: 1.0599e-03 eta: 16:28:32 time: 0.4317 data_time: 0.0234 memory: 17006 grad_norm: 10.3808 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4228 loss: 1.4228 2022/07/30 02:07:01 - mmengine - INFO - Epoch(train) [143][740/3757] lr: 1.0599e-03 eta: 16:28:24 time: 0.4053 data_time: 0.0183 memory: 17006 grad_norm: 10.3878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3401 loss: 1.3401 2022/07/30 02:07:10 - mmengine - INFO - Epoch(train) [143][760/3757] lr: 1.0599e-03 eta: 16:28:16 time: 0.4628 data_time: 0.0233 memory: 17006 grad_norm: 10.5176 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1910 loss: 1.1910 2022/07/30 02:07:18 - mmengine - INFO - Epoch(train) [143][780/3757] lr: 1.0599e-03 eta: 16:28:08 time: 0.4043 data_time: 0.0191 memory: 17006 grad_norm: 10.4896 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6213 loss: 1.6213 2022/07/30 02:07:27 - mmengine - INFO - Epoch(train) [143][800/3757] lr: 1.0599e-03 eta: 16:27:59 time: 0.4069 data_time: 0.0225 memory: 17006 grad_norm: 10.1880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4176 loss: 1.4176 2022/07/30 02:07:35 - mmengine - INFO - Epoch(train) [143][820/3757] lr: 1.0599e-03 eta: 16:27:51 time: 0.4379 data_time: 0.0191 memory: 17006 grad_norm: 10.6384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4022 loss: 1.4022 2022/07/30 02:07:43 - mmengine - INFO - Epoch(train) [143][840/3757] lr: 1.0599e-03 eta: 16:27:43 time: 0.4053 data_time: 0.0212 memory: 17006 grad_norm: 10.9539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5971 loss: 1.5971 2022/07/30 02:07:52 - mmengine - INFO - Epoch(train) [143][860/3757] lr: 1.0599e-03 eta: 16:27:34 time: 0.4212 data_time: 0.0221 memory: 17006 grad_norm: 10.8147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3015 loss: 1.3015 2022/07/30 02:08:00 - mmengine - INFO - Epoch(train) [143][880/3757] lr: 1.0599e-03 eta: 16:27:26 time: 0.4064 data_time: 0.0210 memory: 17006 grad_norm: 10.4870 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4267 loss: 1.4267 2022/07/30 02:08:09 - mmengine - INFO - Epoch(train) [143][900/3757] lr: 1.0599e-03 eta: 16:27:19 time: 0.4646 data_time: 0.0210 memory: 17006 grad_norm: 11.1186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3517 loss: 1.3517 2022/07/30 02:08:18 - mmengine - INFO - Epoch(train) [143][920/3757] lr: 1.0599e-03 eta: 16:27:10 time: 0.4064 data_time: 0.0212 memory: 17006 grad_norm: 10.9361 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5474 loss: 1.5474 2022/07/30 02:08:26 - mmengine - INFO - Epoch(train) [143][940/3757] lr: 1.0599e-03 eta: 16:27:01 time: 0.4037 data_time: 0.0183 memory: 17006 grad_norm: 10.4443 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1686 loss: 1.1686 2022/07/30 02:08:34 - mmengine - INFO - Epoch(train) [143][960/3757] lr: 1.0599e-03 eta: 16:26:53 time: 0.4171 data_time: 0.0223 memory: 17006 grad_norm: 10.7335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2459 loss: 1.2459 2022/07/30 02:08:42 - mmengine - INFO - Epoch(train) [143][980/3757] lr: 1.0599e-03 eta: 16:26:44 time: 0.4086 data_time: 0.0193 memory: 17006 grad_norm: 10.6972 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3735 loss: 1.3735 2022/07/30 02:08:51 - mmengine - INFO - Epoch(train) [143][1000/3757] lr: 1.0599e-03 eta: 16:26:36 time: 0.4190 data_time: 0.0232 memory: 17006 grad_norm: 10.8114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4674 loss: 1.4674 2022/07/30 02:08:59 - mmengine - INFO - Epoch(train) [143][1020/3757] lr: 1.0599e-03 eta: 16:26:28 time: 0.4312 data_time: 0.0199 memory: 17006 grad_norm: 10.4241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5058 loss: 1.5058 2022/07/30 02:09:08 - mmengine - INFO - Epoch(train) [143][1040/3757] lr: 1.0599e-03 eta: 16:26:20 time: 0.4147 data_time: 0.0225 memory: 17006 grad_norm: 10.7060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1361 loss: 1.1361 2022/07/30 02:09:16 - mmengine - INFO - Epoch(train) [143][1060/3757] lr: 1.0599e-03 eta: 16:26:11 time: 0.4040 data_time: 0.0184 memory: 17006 grad_norm: 10.8574 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2532 loss: 1.2532 2022/07/30 02:09:24 - mmengine - INFO - Epoch(train) [143][1080/3757] lr: 1.0599e-03 eta: 16:26:03 time: 0.4263 data_time: 0.0221 memory: 17006 grad_norm: 10.2161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4191 loss: 1.4191 2022/07/30 02:09:33 - mmengine - INFO - Epoch(train) [143][1100/3757] lr: 1.0599e-03 eta: 16:25:54 time: 0.4113 data_time: 0.0201 memory: 17006 grad_norm: 10.4466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/07/30 02:09:41 - mmengine - INFO - Epoch(train) [143][1120/3757] lr: 1.0599e-03 eta: 16:25:46 time: 0.4300 data_time: 0.0225 memory: 17006 grad_norm: 10.7218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/07/30 02:09:49 - mmengine - INFO - Epoch(train) [143][1140/3757] lr: 1.0599e-03 eta: 16:25:38 time: 0.4170 data_time: 0.0191 memory: 17006 grad_norm: 10.8215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3338 loss: 1.3338 2022/07/30 02:09:59 - mmengine - INFO - Epoch(train) [143][1160/3757] lr: 1.0599e-03 eta: 16:25:31 time: 0.4555 data_time: 0.0208 memory: 17006 grad_norm: 10.4425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2601 loss: 1.2601 2022/07/30 02:10:07 - mmengine - INFO - Epoch(train) [143][1180/3757] lr: 1.0599e-03 eta: 16:25:22 time: 0.4040 data_time: 0.0179 memory: 17006 grad_norm: 10.7594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3480 loss: 1.3480 2022/07/30 02:10:15 - mmengine - INFO - Epoch(train) [143][1200/3757] lr: 1.0599e-03 eta: 16:25:13 time: 0.4170 data_time: 0.0244 memory: 17006 grad_norm: 10.9725 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4787 loss: 1.4787 2022/07/30 02:10:23 - mmengine - INFO - Epoch(train) [143][1220/3757] lr: 1.0599e-03 eta: 16:25:05 time: 0.4162 data_time: 0.0179 memory: 17006 grad_norm: 10.5245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1754 loss: 1.1754 2022/07/30 02:10:32 - mmengine - INFO - Epoch(train) [143][1240/3757] lr: 1.0599e-03 eta: 16:24:57 time: 0.4248 data_time: 0.0236 memory: 17006 grad_norm: 10.2610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2624 loss: 1.2624 2022/07/30 02:10:40 - mmengine - INFO - Epoch(train) [143][1260/3757] lr: 1.0599e-03 eta: 16:24:48 time: 0.4107 data_time: 0.0186 memory: 17006 grad_norm: 10.8052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3289 loss: 1.3289 2022/07/30 02:10:48 - mmengine - INFO - Epoch(train) [143][1280/3757] lr: 1.0599e-03 eta: 16:24:40 time: 0.4077 data_time: 0.0224 memory: 17006 grad_norm: 10.8148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3694 loss: 1.3694 2022/07/30 02:10:56 - mmengine - INFO - Epoch(train) [143][1300/3757] lr: 1.0599e-03 eta: 16:24:31 time: 0.4029 data_time: 0.0177 memory: 17006 grad_norm: 10.9956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1499 loss: 1.1499 2022/07/30 02:11:05 - mmengine - INFO - Epoch(train) [143][1320/3757] lr: 1.0599e-03 eta: 16:24:23 time: 0.4319 data_time: 0.0214 memory: 17006 grad_norm: 10.6946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3815 loss: 1.3815 2022/07/30 02:11:13 - mmengine - INFO - Epoch(train) [143][1340/3757] lr: 1.0599e-03 eta: 16:24:14 time: 0.4060 data_time: 0.0192 memory: 17006 grad_norm: 10.7868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/07/30 02:11:22 - mmengine - INFO - Epoch(train) [143][1360/3757] lr: 1.0599e-03 eta: 16:24:06 time: 0.4162 data_time: 0.0221 memory: 17006 grad_norm: 10.5369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4071 loss: 1.4071 2022/07/30 02:11:30 - mmengine - INFO - Epoch(train) [143][1380/3757] lr: 1.0599e-03 eta: 16:23:57 time: 0.4105 data_time: 0.0203 memory: 17006 grad_norm: 10.7376 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4220 loss: 1.4220 2022/07/30 02:11:38 - mmengine - INFO - Epoch(train) [143][1400/3757] lr: 1.0599e-03 eta: 16:23:49 time: 0.4250 data_time: 0.0217 memory: 17006 grad_norm: 10.2396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3744 loss: 1.3744 2022/07/30 02:11:46 - mmengine - INFO - Epoch(train) [143][1420/3757] lr: 1.0599e-03 eta: 16:23:41 time: 0.4039 data_time: 0.0186 memory: 17006 grad_norm: 11.2720 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4092 loss: 1.4092 2022/07/30 02:11:55 - mmengine - INFO - Epoch(train) [143][1440/3757] lr: 1.0599e-03 eta: 16:23:32 time: 0.4087 data_time: 0.0214 memory: 17006 grad_norm: 10.5520 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3887 loss: 1.3887 2022/07/30 02:12:04 - mmengine - INFO - Epoch(train) [143][1460/3757] lr: 1.0599e-03 eta: 16:23:25 time: 0.4499 data_time: 0.0256 memory: 17006 grad_norm: 10.9971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4923 loss: 1.4923 2022/07/30 02:12:12 - mmengine - INFO - Epoch(train) [143][1480/3757] lr: 1.0599e-03 eta: 16:23:16 time: 0.4132 data_time: 0.0220 memory: 17006 grad_norm: 10.9909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3271 loss: 1.3271 2022/07/30 02:12:20 - mmengine - INFO - Epoch(train) [143][1500/3757] lr: 1.0599e-03 eta: 16:23:08 time: 0.4142 data_time: 0.0190 memory: 17006 grad_norm: 10.5899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3862 loss: 1.3862 2022/07/30 02:12:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:12:29 - mmengine - INFO - Epoch(train) [143][1520/3757] lr: 1.0599e-03 eta: 16:22:59 time: 0.4156 data_time: 0.0233 memory: 17006 grad_norm: 10.4725 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3124 loss: 1.3124 2022/07/30 02:12:37 - mmengine - INFO - Epoch(train) [143][1540/3757] lr: 1.0599e-03 eta: 16:22:50 time: 0.4053 data_time: 0.0184 memory: 17006 grad_norm: 10.8849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4231 loss: 1.4231 2022/07/30 02:12:45 - mmengine - INFO - Epoch(train) [143][1560/3757] lr: 1.0599e-03 eta: 16:22:42 time: 0.4104 data_time: 0.0200 memory: 17006 grad_norm: 11.0839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6310 loss: 1.6310 2022/07/30 02:12:54 - mmengine - INFO - Epoch(train) [143][1580/3757] lr: 1.0599e-03 eta: 16:22:34 time: 0.4324 data_time: 0.0231 memory: 17006 grad_norm: 11.1079 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2911 loss: 1.2911 2022/07/30 02:13:02 - mmengine - INFO - Epoch(train) [143][1600/3757] lr: 1.0599e-03 eta: 16:22:25 time: 0.4106 data_time: 0.0215 memory: 17006 grad_norm: 10.5833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4642 loss: 1.4642 2022/07/30 02:13:11 - mmengine - INFO - Epoch(train) [143][1620/3757] lr: 1.0599e-03 eta: 16:22:18 time: 0.4509 data_time: 0.0191 memory: 17006 grad_norm: 10.1443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0831 loss: 1.0831 2022/07/30 02:13:19 - mmengine - INFO - Epoch(train) [143][1640/3757] lr: 1.0599e-03 eta: 16:22:10 time: 0.4127 data_time: 0.0218 memory: 17006 grad_norm: 10.4834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2300 loss: 1.2300 2022/07/30 02:13:27 - mmengine - INFO - Epoch(train) [143][1660/3757] lr: 1.0599e-03 eta: 16:22:01 time: 0.4093 data_time: 0.0194 memory: 17006 grad_norm: 10.7392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4252 loss: 1.4252 2022/07/30 02:13:36 - mmengine - INFO - Epoch(train) [143][1680/3757] lr: 1.0599e-03 eta: 16:21:53 time: 0.4454 data_time: 0.0197 memory: 17006 grad_norm: 10.6032 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5147 loss: 1.5147 2022/07/30 02:13:45 - mmengine - INFO - Epoch(train) [143][1700/3757] lr: 1.0599e-03 eta: 16:21:45 time: 0.4079 data_time: 0.0184 memory: 17006 grad_norm: 10.6863 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5798 loss: 1.5798 2022/07/30 02:13:53 - mmengine - INFO - Epoch(train) [143][1720/3757] lr: 1.0599e-03 eta: 16:21:36 time: 0.4113 data_time: 0.0219 memory: 17006 grad_norm: 10.5756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3498 loss: 1.3498 2022/07/30 02:14:01 - mmengine - INFO - Epoch(train) [143][1740/3757] lr: 1.0599e-03 eta: 16:21:28 time: 0.4066 data_time: 0.0179 memory: 17006 grad_norm: 11.1297 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3049 loss: 1.3049 2022/07/30 02:14:09 - mmengine - INFO - Epoch(train) [143][1760/3757] lr: 1.0599e-03 eta: 16:21:19 time: 0.4186 data_time: 0.0233 memory: 17006 grad_norm: 10.5328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4356 loss: 1.4356 2022/07/30 02:14:18 - mmengine - INFO - Epoch(train) [143][1780/3757] lr: 1.0599e-03 eta: 16:21:11 time: 0.4063 data_time: 0.0186 memory: 17006 grad_norm: 11.0972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1704 loss: 1.1704 2022/07/30 02:14:26 - mmengine - INFO - Epoch(train) [143][1800/3757] lr: 1.0599e-03 eta: 16:21:02 time: 0.4084 data_time: 0.0219 memory: 17006 grad_norm: 10.7978 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3387 loss: 1.3387 2022/07/30 02:14:35 - mmengine - INFO - Epoch(train) [143][1820/3757] lr: 1.0599e-03 eta: 16:20:54 time: 0.4403 data_time: 0.0193 memory: 17006 grad_norm: 10.7546 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4227 loss: 1.4227 2022/07/30 02:14:43 - mmengine - INFO - Epoch(train) [143][1840/3757] lr: 1.0599e-03 eta: 16:20:46 time: 0.4116 data_time: 0.0216 memory: 17006 grad_norm: 11.2052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5449 loss: 1.5449 2022/07/30 02:14:51 - mmengine - INFO - Epoch(train) [143][1860/3757] lr: 1.0599e-03 eta: 16:20:37 time: 0.4145 data_time: 0.0208 memory: 17006 grad_norm: 10.7131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3622 loss: 1.3622 2022/07/30 02:14:59 - mmengine - INFO - Epoch(train) [143][1880/3757] lr: 1.0599e-03 eta: 16:20:29 time: 0.4091 data_time: 0.0210 memory: 17006 grad_norm: 10.4405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/07/30 02:15:08 - mmengine - INFO - Epoch(train) [143][1900/3757] lr: 1.0599e-03 eta: 16:20:20 time: 0.4099 data_time: 0.0182 memory: 17006 grad_norm: 10.8676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1426 loss: 1.1426 2022/07/30 02:15:16 - mmengine - INFO - Epoch(train) [143][1920/3757] lr: 1.0599e-03 eta: 16:20:12 time: 0.4313 data_time: 0.0228 memory: 17006 grad_norm: 10.9817 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/07/30 02:15:24 - mmengine - INFO - Epoch(train) [143][1940/3757] lr: 1.0599e-03 eta: 16:20:03 time: 0.4055 data_time: 0.0175 memory: 17006 grad_norm: 10.7702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5326 loss: 1.5326 2022/07/30 02:15:33 - mmengine - INFO - Epoch(train) [143][1960/3757] lr: 1.0599e-03 eta: 16:19:55 time: 0.4200 data_time: 0.0197 memory: 17006 grad_norm: 10.7675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3287 loss: 1.3287 2022/07/30 02:15:41 - mmengine - INFO - Epoch(train) [143][1980/3757] lr: 1.0599e-03 eta: 16:19:47 time: 0.4048 data_time: 0.0175 memory: 17006 grad_norm: 10.9532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3012 loss: 1.3012 2022/07/30 02:15:49 - mmengine - INFO - Epoch(train) [143][2000/3757] lr: 1.0599e-03 eta: 16:19:38 time: 0.4084 data_time: 0.0207 memory: 17006 grad_norm: 10.2718 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5734 loss: 1.5734 2022/07/30 02:15:57 - mmengine - INFO - Epoch(train) [143][2020/3757] lr: 1.0599e-03 eta: 16:19:29 time: 0.4045 data_time: 0.0189 memory: 17006 grad_norm: 10.8435 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4686 loss: 1.4686 2022/07/30 02:16:05 - mmengine - INFO - Epoch(train) [143][2040/3757] lr: 1.0599e-03 eta: 16:19:21 time: 0.4134 data_time: 0.0225 memory: 17006 grad_norm: 11.0989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4973 loss: 1.4973 2022/07/30 02:16:14 - mmengine - INFO - Epoch(train) [143][2060/3757] lr: 1.0599e-03 eta: 16:19:12 time: 0.4225 data_time: 0.0208 memory: 17006 grad_norm: 10.6425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3234 loss: 1.3234 2022/07/30 02:16:22 - mmengine - INFO - Epoch(train) [143][2080/3757] lr: 1.0599e-03 eta: 16:19:04 time: 0.4161 data_time: 0.0232 memory: 17006 grad_norm: 11.0214 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3457 loss: 1.3457 2022/07/30 02:16:31 - mmengine - INFO - Epoch(train) [143][2100/3757] lr: 1.0599e-03 eta: 16:18:56 time: 0.4136 data_time: 0.0187 memory: 17006 grad_norm: 10.7642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/07/30 02:16:39 - mmengine - INFO - Epoch(train) [143][2120/3757] lr: 1.0599e-03 eta: 16:18:47 time: 0.4228 data_time: 0.0235 memory: 17006 grad_norm: 10.9890 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3650 loss: 1.3650 2022/07/30 02:16:47 - mmengine - INFO - Epoch(train) [143][2140/3757] lr: 1.0599e-03 eta: 16:18:39 time: 0.4041 data_time: 0.0176 memory: 17006 grad_norm: 10.2979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/07/30 02:16:55 - mmengine - INFO - Epoch(train) [143][2160/3757] lr: 1.0599e-03 eta: 16:18:30 time: 0.4051 data_time: 0.0209 memory: 17006 grad_norm: 10.3890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2068 loss: 1.2068 2022/07/30 02:17:04 - mmengine - INFO - Epoch(train) [143][2180/3757] lr: 1.0599e-03 eta: 16:18:22 time: 0.4288 data_time: 0.0213 memory: 17006 grad_norm: 10.8319 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6256 loss: 1.6256 2022/07/30 02:17:12 - mmengine - INFO - Epoch(train) [143][2200/3757] lr: 1.0599e-03 eta: 16:18:13 time: 0.4063 data_time: 0.0215 memory: 17006 grad_norm: 10.4937 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1618 loss: 1.1618 2022/07/30 02:17:21 - mmengine - INFO - Epoch(train) [143][2220/3757] lr: 1.0599e-03 eta: 16:18:06 time: 0.4423 data_time: 0.0192 memory: 17006 grad_norm: 10.5441 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6780 loss: 1.6780 2022/07/30 02:17:29 - mmengine - INFO - Epoch(train) [143][2240/3757] lr: 1.0599e-03 eta: 16:17:57 time: 0.4087 data_time: 0.0219 memory: 17006 grad_norm: 10.4573 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4651 loss: 1.4651 2022/07/30 02:17:37 - mmengine - INFO - Epoch(train) [143][2260/3757] lr: 1.0599e-03 eta: 16:17:48 time: 0.4034 data_time: 0.0178 memory: 17006 grad_norm: 10.2203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3313 loss: 1.3313 2022/07/30 02:17:46 - mmengine - INFO - Epoch(train) [143][2280/3757] lr: 1.0599e-03 eta: 16:17:40 time: 0.4214 data_time: 0.0242 memory: 17006 grad_norm: 10.9158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5361 loss: 1.5361 2022/07/30 02:17:54 - mmengine - INFO - Epoch(train) [143][2300/3757] lr: 1.0599e-03 eta: 16:17:31 time: 0.4051 data_time: 0.0176 memory: 17006 grad_norm: 11.0000 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3643 loss: 1.3643 2022/07/30 02:18:02 - mmengine - INFO - Epoch(train) [143][2320/3757] lr: 1.0599e-03 eta: 16:17:23 time: 0.4147 data_time: 0.0229 memory: 17006 grad_norm: 10.8534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/07/30 02:18:10 - mmengine - INFO - Epoch(train) [143][2340/3757] lr: 1.0599e-03 eta: 16:17:14 time: 0.4036 data_time: 0.0178 memory: 17006 grad_norm: 10.6966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2283 loss: 1.2283 2022/07/30 02:18:19 - mmengine - INFO - Epoch(train) [143][2360/3757] lr: 1.0599e-03 eta: 16:17:06 time: 0.4373 data_time: 0.0245 memory: 17006 grad_norm: 9.9458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5313 loss: 1.5313 2022/07/30 02:18:27 - mmengine - INFO - Epoch(train) [143][2380/3757] lr: 1.0599e-03 eta: 16:16:58 time: 0.4040 data_time: 0.0179 memory: 17006 grad_norm: 10.5540 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0515 loss: 1.0515 2022/07/30 02:18:35 - mmengine - INFO - Epoch(train) [143][2400/3757] lr: 1.0599e-03 eta: 16:16:49 time: 0.4065 data_time: 0.0207 memory: 17006 grad_norm: 10.5779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1600 loss: 1.1600 2022/07/30 02:18:44 - mmengine - INFO - Epoch(train) [143][2420/3757] lr: 1.0599e-03 eta: 16:16:41 time: 0.4266 data_time: 0.0202 memory: 17006 grad_norm: 10.6103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4444 loss: 1.4444 2022/07/30 02:18:52 - mmengine - INFO - Epoch(train) [143][2440/3757] lr: 1.0599e-03 eta: 16:16:32 time: 0.4061 data_time: 0.0219 memory: 17006 grad_norm: 10.5071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4662 loss: 1.4662 2022/07/30 02:19:01 - mmengine - INFO - Epoch(train) [143][2460/3757] lr: 1.0599e-03 eta: 16:16:24 time: 0.4358 data_time: 0.0219 memory: 17006 grad_norm: 10.4967 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1041 loss: 1.1041 2022/07/30 02:19:09 - mmengine - INFO - Epoch(train) [143][2480/3757] lr: 1.0599e-03 eta: 16:16:16 time: 0.4066 data_time: 0.0209 memory: 17006 grad_norm: 11.4927 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0641 loss: 1.0641 2022/07/30 02:19:17 - mmengine - INFO - Epoch(train) [143][2500/3757] lr: 1.0599e-03 eta: 16:16:07 time: 0.4047 data_time: 0.0184 memory: 17006 grad_norm: 10.2394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1476 loss: 1.1476 2022/07/30 02:19:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:19:26 - mmengine - INFO - Epoch(train) [143][2520/3757] lr: 1.0599e-03 eta: 16:16:00 time: 0.4637 data_time: 0.0331 memory: 17006 grad_norm: 11.1222 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3371 loss: 1.3371 2022/07/30 02:19:34 - mmengine - INFO - Epoch(train) [143][2540/3757] lr: 1.0599e-03 eta: 16:15:51 time: 0.4045 data_time: 0.0186 memory: 17006 grad_norm: 10.2140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3079 loss: 1.3079 2022/07/30 02:19:43 - mmengine - INFO - Epoch(train) [143][2560/3757] lr: 1.0599e-03 eta: 16:15:43 time: 0.4189 data_time: 0.0244 memory: 17006 grad_norm: 10.7734 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4911 loss: 1.4911 2022/07/30 02:19:51 - mmengine - INFO - Epoch(train) [143][2580/3757] lr: 1.0599e-03 eta: 16:15:34 time: 0.4064 data_time: 0.0181 memory: 17006 grad_norm: 11.0158 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3738 loss: 1.3738 2022/07/30 02:20:00 - mmengine - INFO - Epoch(train) [143][2600/3757] lr: 1.0599e-03 eta: 16:15:26 time: 0.4277 data_time: 0.0234 memory: 17006 grad_norm: 10.5104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4028 loss: 1.4028 2022/07/30 02:20:08 - mmengine - INFO - Epoch(train) [143][2620/3757] lr: 1.0599e-03 eta: 16:15:17 time: 0.4037 data_time: 0.0179 memory: 17006 grad_norm: 10.6654 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6034 loss: 1.6034 2022/07/30 02:20:16 - mmengine - INFO - Epoch(train) [143][2640/3757] lr: 1.0599e-03 eta: 16:15:09 time: 0.4055 data_time: 0.0210 memory: 17006 grad_norm: 11.0704 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1781 loss: 1.1781 2022/07/30 02:20:24 - mmengine - INFO - Epoch(train) [143][2660/3757] lr: 1.0599e-03 eta: 16:15:01 time: 0.4223 data_time: 0.0194 memory: 17006 grad_norm: 11.1037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4163 loss: 1.4163 2022/07/30 02:20:32 - mmengine - INFO - Epoch(train) [143][2680/3757] lr: 1.0599e-03 eta: 16:14:52 time: 0.4073 data_time: 0.0218 memory: 17006 grad_norm: 11.1263 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3737 loss: 1.3737 2022/07/30 02:20:41 - mmengine - INFO - Epoch(train) [143][2700/3757] lr: 1.0599e-03 eta: 16:14:44 time: 0.4411 data_time: 0.0191 memory: 17006 grad_norm: 11.6484 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4509 loss: 1.4509 2022/07/30 02:20:49 - mmengine - INFO - Epoch(train) [143][2720/3757] lr: 1.0599e-03 eta: 16:14:36 time: 0.4050 data_time: 0.0215 memory: 17006 grad_norm: 10.5657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4083 loss: 1.4083 2022/07/30 02:20:58 - mmengine - INFO - Epoch(train) [143][2740/3757] lr: 1.0599e-03 eta: 16:14:27 time: 0.4044 data_time: 0.0192 memory: 17006 grad_norm: 10.9013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3463 loss: 1.3463 2022/07/30 02:21:06 - mmengine - INFO - Epoch(train) [143][2760/3757] lr: 1.0599e-03 eta: 16:14:18 time: 0.4170 data_time: 0.0222 memory: 17006 grad_norm: 10.2579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2945 loss: 1.2945 2022/07/30 02:21:14 - mmengine - INFO - Epoch(train) [143][2780/3757] lr: 1.0599e-03 eta: 16:14:10 time: 0.4069 data_time: 0.0188 memory: 17006 grad_norm: 10.2282 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3132 loss: 1.3132 2022/07/30 02:21:22 - mmengine - INFO - Epoch(train) [143][2800/3757] lr: 1.0599e-03 eta: 16:14:01 time: 0.4163 data_time: 0.0232 memory: 17006 grad_norm: 10.9324 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3441 loss: 1.3441 2022/07/30 02:21:31 - mmengine - INFO - Epoch(train) [143][2820/3757] lr: 1.0599e-03 eta: 16:13:53 time: 0.4178 data_time: 0.0196 memory: 17006 grad_norm: 10.9978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2847 loss: 1.2847 2022/07/30 02:21:39 - mmengine - INFO - Epoch(train) [143][2840/3757] lr: 1.0599e-03 eta: 16:13:45 time: 0.4233 data_time: 0.0233 memory: 17006 grad_norm: 10.9794 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6503 loss: 1.6503 2022/07/30 02:21:47 - mmengine - INFO - Epoch(train) [143][2860/3757] lr: 1.0599e-03 eta: 16:13:36 time: 0.4043 data_time: 0.0188 memory: 17006 grad_norm: 10.5922 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2363 loss: 1.2363 2022/07/30 02:21:56 - mmengine - INFO - Epoch(train) [143][2880/3757] lr: 1.0599e-03 eta: 16:13:28 time: 0.4174 data_time: 0.0210 memory: 17006 grad_norm: 10.4920 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3186 loss: 1.3186 2022/07/30 02:22:04 - mmengine - INFO - Epoch(train) [143][2900/3757] lr: 1.0599e-03 eta: 16:13:19 time: 0.4175 data_time: 0.0207 memory: 17006 grad_norm: 11.0854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3852 loss: 1.3852 2022/07/30 02:22:12 - mmengine - INFO - Epoch(train) [143][2920/3757] lr: 1.0599e-03 eta: 16:13:11 time: 0.4119 data_time: 0.0215 memory: 17006 grad_norm: 11.0316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/07/30 02:22:21 - mmengine - INFO - Epoch(train) [143][2940/3757] lr: 1.0599e-03 eta: 16:13:03 time: 0.4359 data_time: 0.0204 memory: 17006 grad_norm: 10.5123 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2217 loss: 1.2217 2022/07/30 02:22:30 - mmengine - INFO - Epoch(train) [143][2960/3757] lr: 1.0599e-03 eta: 16:12:55 time: 0.4235 data_time: 0.0204 memory: 17006 grad_norm: 11.0302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4875 loss: 1.4875 2022/07/30 02:22:38 - mmengine - INFO - Epoch(train) [143][2980/3757] lr: 1.0599e-03 eta: 16:12:46 time: 0.4066 data_time: 0.0199 memory: 17006 grad_norm: 10.8666 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3854 loss: 1.3854 2022/07/30 02:22:46 - mmengine - INFO - Epoch(train) [143][3000/3757] lr: 1.0599e-03 eta: 16:12:38 time: 0.4264 data_time: 0.0226 memory: 17006 grad_norm: 10.6519 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5529 loss: 1.5529 2022/07/30 02:22:54 - mmengine - INFO - Epoch(train) [143][3020/3757] lr: 1.0599e-03 eta: 16:12:29 time: 0.4058 data_time: 0.0185 memory: 17006 grad_norm: 10.1379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2706 loss: 1.2706 2022/07/30 02:23:03 - mmengine - INFO - Epoch(train) [143][3040/3757] lr: 1.0599e-03 eta: 16:12:21 time: 0.4221 data_time: 0.0221 memory: 17006 grad_norm: 11.0880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4497 loss: 1.4497 2022/07/30 02:23:11 - mmengine - INFO - Epoch(train) [143][3060/3757] lr: 1.0599e-03 eta: 16:12:13 time: 0.4043 data_time: 0.0179 memory: 17006 grad_norm: 11.1200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3786 loss: 1.3786 2022/07/30 02:23:20 - mmengine - INFO - Epoch(train) [143][3080/3757] lr: 1.0599e-03 eta: 16:12:05 time: 0.4328 data_time: 0.0256 memory: 17006 grad_norm: 10.5443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9664 loss: 0.9664 2022/07/30 02:23:28 - mmengine - INFO - Epoch(train) [143][3100/3757] lr: 1.0599e-03 eta: 16:11:56 time: 0.4029 data_time: 0.0174 memory: 17006 grad_norm: 10.8774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3540 loss: 1.3540 2022/07/30 02:23:36 - mmengine - INFO - Epoch(train) [143][3120/3757] lr: 1.0599e-03 eta: 16:11:47 time: 0.4166 data_time: 0.0219 memory: 17006 grad_norm: 11.0940 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4690 loss: 1.4690 2022/07/30 02:23:45 - mmengine - INFO - Epoch(train) [143][3140/3757] lr: 1.0599e-03 eta: 16:11:39 time: 0.4314 data_time: 0.0191 memory: 17006 grad_norm: 10.4663 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/07/30 02:23:53 - mmengine - INFO - Epoch(train) [143][3160/3757] lr: 1.0599e-03 eta: 16:11:31 time: 0.4076 data_time: 0.0223 memory: 17006 grad_norm: 10.7713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1274 loss: 1.1274 2022/07/30 02:24:02 - mmengine - INFO - Epoch(train) [143][3180/3757] lr: 1.0599e-03 eta: 16:11:24 time: 0.4582 data_time: 0.0224 memory: 17006 grad_norm: 10.8035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3573 loss: 1.3573 2022/07/30 02:24:10 - mmengine - INFO - Epoch(train) [143][3200/3757] lr: 1.0599e-03 eta: 16:11:15 time: 0.4059 data_time: 0.0210 memory: 17006 grad_norm: 10.8185 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2650 loss: 1.2650 2022/07/30 02:24:19 - mmengine - INFO - Epoch(train) [143][3220/3757] lr: 1.0599e-03 eta: 16:11:06 time: 0.4087 data_time: 0.0177 memory: 17006 grad_norm: 10.6789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1816 loss: 1.1816 2022/07/30 02:24:27 - mmengine - INFO - Epoch(train) [143][3240/3757] lr: 1.0599e-03 eta: 16:10:58 time: 0.4094 data_time: 0.0206 memory: 17006 grad_norm: 10.1385 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4723 loss: 1.4723 2022/07/30 02:24:35 - mmengine - INFO - Epoch(train) [143][3260/3757] lr: 1.0599e-03 eta: 16:10:49 time: 0.4045 data_time: 0.0179 memory: 17006 grad_norm: 10.6692 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2534 loss: 1.2534 2022/07/30 02:24:43 - mmengine - INFO - Epoch(train) [143][3280/3757] lr: 1.0599e-03 eta: 16:10:41 time: 0.4111 data_time: 0.0229 memory: 17006 grad_norm: 11.5275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5618 loss: 1.5618 2022/07/30 02:24:52 - mmengine - INFO - Epoch(train) [143][3300/3757] lr: 1.0599e-03 eta: 16:10:33 time: 0.4339 data_time: 0.0182 memory: 17006 grad_norm: 10.6958 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6335 loss: 1.6335 2022/07/30 02:25:00 - mmengine - INFO - Epoch(train) [143][3320/3757] lr: 1.0599e-03 eta: 16:10:25 time: 0.4307 data_time: 0.0217 memory: 17006 grad_norm: 10.9260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2915 loss: 1.2915 2022/07/30 02:25:09 - mmengine - INFO - Epoch(train) [143][3340/3757] lr: 1.0599e-03 eta: 16:10:16 time: 0.4040 data_time: 0.0181 memory: 17006 grad_norm: 10.7012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1848 loss: 1.1848 2022/07/30 02:25:17 - mmengine - INFO - Epoch(train) [143][3360/3757] lr: 1.0599e-03 eta: 16:10:07 time: 0.4062 data_time: 0.0221 memory: 17006 grad_norm: 10.2982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3380 loss: 1.3380 2022/07/30 02:25:26 - mmengine - INFO - Epoch(train) [143][3380/3757] lr: 1.0599e-03 eta: 16:10:00 time: 0.4438 data_time: 0.0193 memory: 17006 grad_norm: 11.0881 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2520 loss: 1.2520 2022/07/30 02:25:34 - mmengine - INFO - Epoch(train) [143][3400/3757] lr: 1.0599e-03 eta: 16:09:51 time: 0.4052 data_time: 0.0211 memory: 17006 grad_norm: 10.9148 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3118 loss: 1.3118 2022/07/30 02:25:43 - mmengine - INFO - Epoch(train) [143][3420/3757] lr: 1.0599e-03 eta: 16:09:43 time: 0.4426 data_time: 0.0208 memory: 17006 grad_norm: 10.5862 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1999 loss: 1.1999 2022/07/30 02:25:51 - mmengine - INFO - Epoch(train) [143][3440/3757] lr: 1.0599e-03 eta: 16:09:35 time: 0.4054 data_time: 0.0215 memory: 17006 grad_norm: 11.0523 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3136 loss: 1.3136 2022/07/30 02:26:00 - mmengine - INFO - Epoch(train) [143][3460/3757] lr: 1.0599e-03 eta: 16:09:27 time: 0.4463 data_time: 0.0192 memory: 17006 grad_norm: 11.3190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4558 loss: 1.4558 2022/07/30 02:26:08 - mmengine - INFO - Epoch(train) [143][3480/3757] lr: 1.0599e-03 eta: 16:09:18 time: 0.4077 data_time: 0.0209 memory: 17006 grad_norm: 10.2931 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1399 loss: 1.1399 2022/07/30 02:26:16 - mmengine - INFO - Epoch(train) [143][3500/3757] lr: 1.0599e-03 eta: 16:09:10 time: 0.4036 data_time: 0.0189 memory: 17006 grad_norm: 10.5919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2894 loss: 1.2894 2022/07/30 02:26:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:26:25 - mmengine - INFO - Epoch(train) [143][3520/3757] lr: 1.0599e-03 eta: 16:09:02 time: 0.4273 data_time: 0.0232 memory: 17006 grad_norm: 10.2127 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2527 loss: 1.2527 2022/07/30 02:26:33 - mmengine - INFO - Epoch(train) [143][3540/3757] lr: 1.0599e-03 eta: 16:08:53 time: 0.4054 data_time: 0.0192 memory: 17006 grad_norm: 11.0161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/07/30 02:26:42 - mmengine - INFO - Epoch(train) [143][3560/3757] lr: 1.0599e-03 eta: 16:08:46 time: 0.4528 data_time: 0.0227 memory: 17006 grad_norm: 10.6260 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6829 loss: 1.6829 2022/07/30 02:26:50 - mmengine - INFO - Epoch(train) [143][3580/3757] lr: 1.0599e-03 eta: 16:08:37 time: 0.4060 data_time: 0.0194 memory: 17006 grad_norm: 10.8075 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4382 loss: 1.4382 2022/07/30 02:26:58 - mmengine - INFO - Epoch(train) [143][3600/3757] lr: 1.0599e-03 eta: 16:08:28 time: 0.4048 data_time: 0.0205 memory: 17006 grad_norm: 10.7543 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4425 loss: 1.4425 2022/07/30 02:27:06 - mmengine - INFO - Epoch(train) [143][3620/3757] lr: 1.0599e-03 eta: 16:08:20 time: 0.4170 data_time: 0.0196 memory: 17006 grad_norm: 10.5899 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3471 loss: 1.3471 2022/07/30 02:27:15 - mmengine - INFO - Epoch(train) [143][3640/3757] lr: 1.0599e-03 eta: 16:08:11 time: 0.4174 data_time: 0.0234 memory: 17006 grad_norm: 10.8267 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5903 loss: 1.5903 2022/07/30 02:27:23 - mmengine - INFO - Epoch(train) [143][3660/3757] lr: 1.0599e-03 eta: 16:08:03 time: 0.4109 data_time: 0.0208 memory: 17006 grad_norm: 10.6784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6491 loss: 1.6491 2022/07/30 02:27:31 - mmengine - INFO - Epoch(train) [143][3680/3757] lr: 1.0599e-03 eta: 16:07:54 time: 0.4071 data_time: 0.0216 memory: 17006 grad_norm: 11.0599 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7561 loss: 1.7561 2022/07/30 02:27:40 - mmengine - INFO - Epoch(train) [143][3700/3757] lr: 1.0599e-03 eta: 16:07:46 time: 0.4176 data_time: 0.0202 memory: 17006 grad_norm: 10.7199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5625 loss: 1.5625 2022/07/30 02:27:48 - mmengine - INFO - Epoch(train) [143][3720/3757] lr: 1.0599e-03 eta: 16:07:37 time: 0.4054 data_time: 0.0212 memory: 17006 grad_norm: 10.8691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5717 loss: 1.5717 2022/07/30 02:27:56 - mmengine - INFO - Epoch(train) [143][3740/3757] lr: 1.0599e-03 eta: 16:07:29 time: 0.4088 data_time: 0.0175 memory: 17006 grad_norm: 10.6885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5491 loss: 1.5491 2022/07/30 02:28:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:28:04 - mmengine - INFO - Epoch(train) [143][3757/3757] lr: 1.0599e-03 eta: 16:07:29 time: 0.4393 data_time: 0.0215 memory: 17006 grad_norm: 10.6612 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.4201 loss: 1.4201 2022/07/30 02:28:04 - mmengine - INFO - Saving checkpoint at 143 epochs 2022/07/30 02:28:17 - mmengine - INFO - Epoch(train) [144][20/3757] lr: 1.0068e-03 eta: 16:07:05 time: 0.4557 data_time: 0.0705 memory: 17006 grad_norm: 10.8127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4414 loss: 1.4414 2022/07/30 02:28:26 - mmengine - INFO - Epoch(train) [144][40/3757] lr: 1.0068e-03 eta: 16:06:57 time: 0.4609 data_time: 0.0225 memory: 17006 grad_norm: 10.3164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1669 loss: 1.1669 2022/07/30 02:28:34 - mmengine - INFO - Epoch(train) [144][60/3757] lr: 1.0068e-03 eta: 16:06:49 time: 0.4059 data_time: 0.0209 memory: 17006 grad_norm: 10.3215 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2708 loss: 1.2708 2022/07/30 02:28:42 - mmengine - INFO - Epoch(train) [144][80/3757] lr: 1.0068e-03 eta: 16:06:40 time: 0.4151 data_time: 0.0220 memory: 17006 grad_norm: 10.4043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1155 loss: 1.1155 2022/07/30 02:28:50 - mmengine - INFO - Epoch(train) [144][100/3757] lr: 1.0068e-03 eta: 16:06:32 time: 0.4055 data_time: 0.0206 memory: 17006 grad_norm: 10.4471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5206 loss: 1.5206 2022/07/30 02:28:59 - mmengine - INFO - Epoch(train) [144][120/3757] lr: 1.0068e-03 eta: 16:06:23 time: 0.4045 data_time: 0.0202 memory: 17006 grad_norm: 10.6967 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4544 loss: 1.4544 2022/07/30 02:29:08 - mmengine - INFO - Epoch(train) [144][140/3757] lr: 1.0068e-03 eta: 16:06:15 time: 0.4507 data_time: 0.0220 memory: 17006 grad_norm: 10.8750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/07/30 02:29:16 - mmengine - INFO - Epoch(train) [144][160/3757] lr: 1.0068e-03 eta: 16:06:07 time: 0.4045 data_time: 0.0199 memory: 17006 grad_norm: 10.4381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3198 loss: 1.3198 2022/07/30 02:29:24 - mmengine - INFO - Epoch(train) [144][180/3757] lr: 1.0068e-03 eta: 16:05:59 time: 0.4248 data_time: 0.0209 memory: 17006 grad_norm: 11.3395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4184 loss: 1.4184 2022/07/30 02:29:32 - mmengine - INFO - Epoch(train) [144][200/3757] lr: 1.0068e-03 eta: 16:05:50 time: 0.4042 data_time: 0.0198 memory: 17006 grad_norm: 11.1493 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5451 loss: 1.5451 2022/07/30 02:29:41 - mmengine - INFO - Epoch(train) [144][220/3757] lr: 1.0068e-03 eta: 16:05:42 time: 0.4165 data_time: 0.0225 memory: 17006 grad_norm: 10.9607 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4778 loss: 1.4778 2022/07/30 02:29:49 - mmengine - INFO - Epoch(train) [144][240/3757] lr: 1.0068e-03 eta: 16:05:33 time: 0.4045 data_time: 0.0207 memory: 17006 grad_norm: 10.4529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4969 loss: 1.4969 2022/07/30 02:29:57 - mmengine - INFO - Epoch(train) [144][260/3757] lr: 1.0068e-03 eta: 16:05:24 time: 0.4051 data_time: 0.0210 memory: 17006 grad_norm: 10.5199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3261 loss: 1.3261 2022/07/30 02:30:05 - mmengine - INFO - Epoch(train) [144][280/3757] lr: 1.0068e-03 eta: 16:05:16 time: 0.4144 data_time: 0.0226 memory: 17006 grad_norm: 10.9582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1454 loss: 1.1454 2022/07/30 02:30:14 - mmengine - INFO - Epoch(train) [144][300/3757] lr: 1.0068e-03 eta: 16:05:08 time: 0.4332 data_time: 0.0210 memory: 17006 grad_norm: 11.0727 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5797 loss: 1.5797 2022/07/30 02:30:22 - mmengine - INFO - Epoch(train) [144][320/3757] lr: 1.0068e-03 eta: 16:04:59 time: 0.4196 data_time: 0.0212 memory: 17006 grad_norm: 11.1018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3266 loss: 1.3266 2022/07/30 02:30:31 - mmengine - INFO - Epoch(train) [144][340/3757] lr: 1.0068e-03 eta: 16:04:51 time: 0.4064 data_time: 0.0220 memory: 17006 grad_norm: 11.0676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3822 loss: 1.3822 2022/07/30 02:30:39 - mmengine - INFO - Epoch(train) [144][360/3757] lr: 1.0068e-03 eta: 16:04:42 time: 0.4072 data_time: 0.0218 memory: 17006 grad_norm: 10.8963 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4362 loss: 1.4362 2022/07/30 02:30:47 - mmengine - INFO - Epoch(train) [144][380/3757] lr: 1.0068e-03 eta: 16:04:34 time: 0.4211 data_time: 0.0206 memory: 17006 grad_norm: 10.2111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2102 loss: 1.2102 2022/07/30 02:30:55 - mmengine - INFO - Epoch(train) [144][400/3757] lr: 1.0068e-03 eta: 16:04:25 time: 0.4112 data_time: 0.0212 memory: 17006 grad_norm: 10.6249 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4725 loss: 1.4725 2022/07/30 02:31:04 - mmengine - INFO - Epoch(train) [144][420/3757] lr: 1.0068e-03 eta: 16:04:17 time: 0.4211 data_time: 0.0222 memory: 17006 grad_norm: 10.6809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5850 loss: 1.5850 2022/07/30 02:31:12 - mmengine - INFO - Epoch(train) [144][440/3757] lr: 1.0068e-03 eta: 16:04:09 time: 0.4101 data_time: 0.0213 memory: 17006 grad_norm: 10.3761 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2270 loss: 1.2270 2022/07/30 02:31:21 - mmengine - INFO - Epoch(train) [144][460/3757] lr: 1.0068e-03 eta: 16:04:01 time: 0.4271 data_time: 0.0249 memory: 17006 grad_norm: 10.3761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4159 loss: 1.4159 2022/07/30 02:31:29 - mmengine - INFO - Epoch(train) [144][480/3757] lr: 1.0068e-03 eta: 16:03:52 time: 0.4059 data_time: 0.0206 memory: 17006 grad_norm: 10.5822 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2037 loss: 1.2037 2022/07/30 02:31:37 - mmengine - INFO - Epoch(train) [144][500/3757] lr: 1.0068e-03 eta: 16:03:43 time: 0.4096 data_time: 0.0212 memory: 17006 grad_norm: 10.5843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0934 loss: 1.0934 2022/07/30 02:31:45 - mmengine - INFO - Epoch(train) [144][520/3757] lr: 1.0068e-03 eta: 16:03:35 time: 0.4129 data_time: 0.0242 memory: 17006 grad_norm: 10.1566 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2158 loss: 1.2158 2022/07/30 02:31:54 - mmengine - INFO - Epoch(train) [144][540/3757] lr: 1.0068e-03 eta: 16:03:26 time: 0.4100 data_time: 0.0234 memory: 17006 grad_norm: 10.8444 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0457 loss: 1.0457 2022/07/30 02:32:02 - mmengine - INFO - Epoch(train) [144][560/3757] lr: 1.0068e-03 eta: 16:03:18 time: 0.4101 data_time: 0.0208 memory: 17006 grad_norm: 10.1485 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4706 loss: 1.4706 2022/07/30 02:32:10 - mmengine - INFO - Epoch(train) [144][580/3757] lr: 1.0068e-03 eta: 16:03:09 time: 0.4131 data_time: 0.0217 memory: 17006 grad_norm: 10.1988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4050 loss: 1.4050 2022/07/30 02:32:18 - mmengine - INFO - Epoch(train) [144][600/3757] lr: 1.0068e-03 eta: 16:03:01 time: 0.4071 data_time: 0.0203 memory: 17006 grad_norm: 10.7520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4124 loss: 1.4124 2022/07/30 02:32:27 - mmengine - INFO - Epoch(train) [144][620/3757] lr: 1.0068e-03 eta: 16:02:52 time: 0.4138 data_time: 0.0217 memory: 17006 grad_norm: 10.7039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6426 loss: 1.6426 2022/07/30 02:32:35 - mmengine - INFO - Epoch(train) [144][640/3757] lr: 1.0068e-03 eta: 16:02:44 time: 0.4076 data_time: 0.0212 memory: 17006 grad_norm: 10.3833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3620 loss: 1.3620 2022/07/30 02:32:50 - mmengine - INFO - Epoch(train) [144][660/3757] lr: 1.0068e-03 eta: 16:02:44 time: 0.7549 data_time: 0.0224 memory: 17006 grad_norm: 10.8318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4476 loss: 1.4476 2022/07/30 02:32:58 - mmengine - INFO - Epoch(train) [144][680/3757] lr: 1.0068e-03 eta: 16:02:36 time: 0.4054 data_time: 0.0211 memory: 17006 grad_norm: 11.0996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6942 loss: 1.6942 2022/07/30 02:33:06 - mmengine - INFO - Epoch(train) [144][700/3757] lr: 1.0068e-03 eta: 16:02:27 time: 0.4052 data_time: 0.0183 memory: 17006 grad_norm: 10.9018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7834 loss: 1.7834 2022/07/30 02:33:14 - mmengine - INFO - Epoch(train) [144][720/3757] lr: 1.0068e-03 eta: 16:02:18 time: 0.4088 data_time: 0.0209 memory: 17006 grad_norm: 10.0479 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1347 loss: 1.1347 2022/07/30 02:33:22 - mmengine - INFO - Epoch(train) [144][740/3757] lr: 1.0068e-03 eta: 16:02:10 time: 0.4059 data_time: 0.0188 memory: 17006 grad_norm: 10.9927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5627 loss: 1.5627 2022/07/30 02:33:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:33:31 - mmengine - INFO - Epoch(train) [144][760/3757] lr: 1.0068e-03 eta: 16:02:02 time: 0.4291 data_time: 0.0218 memory: 17006 grad_norm: 10.8795 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2445 loss: 1.2445 2022/07/30 02:33:39 - mmengine - INFO - Epoch(train) [144][780/3757] lr: 1.0068e-03 eta: 16:01:53 time: 0.4040 data_time: 0.0174 memory: 17006 grad_norm: 10.9025 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3386 loss: 1.3386 2022/07/30 02:33:47 - mmengine - INFO - Epoch(train) [144][800/3757] lr: 1.0068e-03 eta: 16:01:44 time: 0.4079 data_time: 0.0211 memory: 17006 grad_norm: 10.4860 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0977 loss: 1.0977 2022/07/30 02:33:56 - mmengine - INFO - Epoch(train) [144][820/3757] lr: 1.0068e-03 eta: 16:01:36 time: 0.4183 data_time: 0.0205 memory: 17006 grad_norm: 10.5473 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2184 loss: 1.2184 2022/07/30 02:34:04 - mmengine - INFO - Epoch(train) [144][840/3757] lr: 1.0068e-03 eta: 16:01:27 time: 0.4061 data_time: 0.0202 memory: 17006 grad_norm: 10.6788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4412 loss: 1.4412 2022/07/30 02:34:12 - mmengine - INFO - Epoch(train) [144][860/3757] lr: 1.0068e-03 eta: 16:01:19 time: 0.4271 data_time: 0.0210 memory: 17006 grad_norm: 11.1869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1539 loss: 1.1539 2022/07/30 02:34:21 - mmengine - INFO - Epoch(train) [144][880/3757] lr: 1.0068e-03 eta: 16:01:11 time: 0.4055 data_time: 0.0213 memory: 17006 grad_norm: 10.7334 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5865 loss: 1.5865 2022/07/30 02:34:29 - mmengine - INFO - Epoch(train) [144][900/3757] lr: 1.0068e-03 eta: 16:01:02 time: 0.4061 data_time: 0.0198 memory: 17006 grad_norm: 10.6082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5682 loss: 1.5682 2022/07/30 02:34:37 - mmengine - INFO - Epoch(train) [144][920/3757] lr: 1.0068e-03 eta: 16:00:53 time: 0.4087 data_time: 0.0221 memory: 17006 grad_norm: 10.3688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2266 loss: 1.2266 2022/07/30 02:34:45 - mmengine - INFO - Epoch(train) [144][940/3757] lr: 1.0068e-03 eta: 16:00:45 time: 0.4056 data_time: 0.0194 memory: 17006 grad_norm: 9.8916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3447 loss: 1.3447 2022/07/30 02:34:53 - mmengine - INFO - Epoch(train) [144][960/3757] lr: 1.0068e-03 eta: 16:00:36 time: 0.4088 data_time: 0.0230 memory: 17006 grad_norm: 10.7809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/07/30 02:35:01 - mmengine - INFO - Epoch(train) [144][980/3757] lr: 1.0068e-03 eta: 16:00:27 time: 0.4043 data_time: 0.0183 memory: 17006 grad_norm: 10.3682 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3455 loss: 1.3455 2022/07/30 02:35:10 - mmengine - INFO - Epoch(train) [144][1000/3757] lr: 1.0068e-03 eta: 16:00:19 time: 0.4172 data_time: 0.0216 memory: 17006 grad_norm: 10.5771 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3825 loss: 1.3825 2022/07/30 02:35:19 - mmengine - INFO - Epoch(train) [144][1020/3757] lr: 1.0068e-03 eta: 16:00:12 time: 0.4565 data_time: 0.0183 memory: 17006 grad_norm: 10.6154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0080 loss: 1.0080 2022/07/30 02:35:27 - mmengine - INFO - Epoch(train) [144][1040/3757] lr: 1.0068e-03 eta: 16:00:03 time: 0.4065 data_time: 0.0208 memory: 17006 grad_norm: 10.6421 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3173 loss: 1.3173 2022/07/30 02:35:36 - mmengine - INFO - Epoch(train) [144][1060/3757] lr: 1.0068e-03 eta: 15:59:55 time: 0.4233 data_time: 0.0218 memory: 17006 grad_norm: 10.5403 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5565 loss: 1.5565 2022/07/30 02:35:44 - mmengine - INFO - Epoch(train) [144][1080/3757] lr: 1.0068e-03 eta: 15:59:46 time: 0.4067 data_time: 0.0217 memory: 17006 grad_norm: 10.0106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2863 loss: 1.2863 2022/07/30 02:35:53 - mmengine - INFO - Epoch(train) [144][1100/3757] lr: 1.0068e-03 eta: 15:59:39 time: 0.4434 data_time: 0.0196 memory: 17006 grad_norm: 10.5039 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3241 loss: 1.3241 2022/07/30 02:36:01 - mmengine - INFO - Epoch(train) [144][1120/3757] lr: 1.0068e-03 eta: 15:59:30 time: 0.4065 data_time: 0.0216 memory: 17006 grad_norm: 10.8266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5109 loss: 1.5109 2022/07/30 02:36:09 - mmengine - INFO - Epoch(train) [144][1140/3757] lr: 1.0068e-03 eta: 15:59:21 time: 0.4041 data_time: 0.0178 memory: 17006 grad_norm: 10.5274 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1339 loss: 1.1339 2022/07/30 02:36:17 - mmengine - INFO - Epoch(train) [144][1160/3757] lr: 1.0068e-03 eta: 15:59:13 time: 0.4197 data_time: 0.0235 memory: 17006 grad_norm: 10.9210 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3687 loss: 1.3687 2022/07/30 02:36:25 - mmengine - INFO - Epoch(train) [144][1180/3757] lr: 1.0068e-03 eta: 15:59:04 time: 0.4047 data_time: 0.0192 memory: 17006 grad_norm: 11.2132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6435 loss: 1.6435 2022/07/30 02:36:35 - mmengine - INFO - Epoch(train) [144][1200/3757] lr: 1.0068e-03 eta: 15:58:57 time: 0.4694 data_time: 0.0224 memory: 17006 grad_norm: 10.7223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3568 loss: 1.3568 2022/07/30 02:36:43 - mmengine - INFO - Epoch(train) [144][1220/3757] lr: 1.0068e-03 eta: 15:58:49 time: 0.4043 data_time: 0.0183 memory: 17006 grad_norm: 10.3576 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3127 loss: 1.3127 2022/07/30 02:36:52 - mmengine - INFO - Epoch(train) [144][1240/3757] lr: 1.0068e-03 eta: 15:58:41 time: 0.4303 data_time: 0.0232 memory: 17006 grad_norm: 10.2512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2451 loss: 1.2451 2022/07/30 02:37:00 - mmengine - INFO - Epoch(train) [144][1260/3757] lr: 1.0068e-03 eta: 15:58:32 time: 0.4046 data_time: 0.0185 memory: 17006 grad_norm: 10.5319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/07/30 02:37:08 - mmengine - INFO - Epoch(train) [144][1280/3757] lr: 1.0068e-03 eta: 15:58:23 time: 0.4060 data_time: 0.0212 memory: 17006 grad_norm: 10.5934 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5275 loss: 1.5275 2022/07/30 02:37:17 - mmengine - INFO - Epoch(train) [144][1300/3757] lr: 1.0068e-03 eta: 15:58:16 time: 0.4416 data_time: 0.0213 memory: 17006 grad_norm: 11.0512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4057 loss: 1.4057 2022/07/30 02:37:25 - mmengine - INFO - Epoch(train) [144][1320/3757] lr: 1.0068e-03 eta: 15:58:07 time: 0.4072 data_time: 0.0215 memory: 17006 grad_norm: 11.1114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6593 loss: 1.6593 2022/07/30 02:37:33 - mmengine - INFO - Epoch(train) [144][1340/3757] lr: 1.0068e-03 eta: 15:57:59 time: 0.4197 data_time: 0.0174 memory: 17006 grad_norm: 10.2862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3700 loss: 1.3700 2022/07/30 02:37:41 - mmengine - INFO - Epoch(train) [144][1360/3757] lr: 1.0068e-03 eta: 15:57:50 time: 0.4071 data_time: 0.0209 memory: 17006 grad_norm: 10.5737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1699 loss: 1.1699 2022/07/30 02:37:50 - mmengine - INFO - Epoch(train) [144][1380/3757] lr: 1.0068e-03 eta: 15:57:41 time: 0.4065 data_time: 0.0179 memory: 17006 grad_norm: 11.4060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2949 loss: 1.2949 2022/07/30 02:37:58 - mmengine - INFO - Epoch(train) [144][1400/3757] lr: 1.0068e-03 eta: 15:57:33 time: 0.4246 data_time: 0.0231 memory: 17006 grad_norm: 10.5315 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3706 loss: 1.3706 2022/07/30 02:38:06 - mmengine - INFO - Epoch(train) [144][1420/3757] lr: 1.0068e-03 eta: 15:57:25 time: 0.4129 data_time: 0.0185 memory: 17006 grad_norm: 10.5169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4634 loss: 1.4634 2022/07/30 02:38:15 - mmengine - INFO - Epoch(train) [144][1440/3757] lr: 1.0068e-03 eta: 15:57:16 time: 0.4157 data_time: 0.0222 memory: 17006 grad_norm: 10.4911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2563 loss: 1.2563 2022/07/30 02:38:23 - mmengine - INFO - Epoch(train) [144][1460/3757] lr: 1.0068e-03 eta: 15:57:08 time: 0.4259 data_time: 0.0181 memory: 17006 grad_norm: 10.7689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5657 loss: 1.5657 2022/07/30 02:38:32 - mmengine - INFO - Epoch(train) [144][1480/3757] lr: 1.0068e-03 eta: 15:57:00 time: 0.4170 data_time: 0.0232 memory: 17006 grad_norm: 10.4923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3006 loss: 1.3006 2022/07/30 02:38:40 - mmengine - INFO - Epoch(train) [144][1500/3757] lr: 1.0068e-03 eta: 15:56:51 time: 0.4073 data_time: 0.0180 memory: 17006 grad_norm: 10.8538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3844 loss: 1.3844 2022/07/30 02:38:48 - mmengine - INFO - Epoch(train) [144][1520/3757] lr: 1.0068e-03 eta: 15:56:43 time: 0.4051 data_time: 0.0202 memory: 17006 grad_norm: 10.8761 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5053 loss: 1.5053 2022/07/30 02:38:57 - mmengine - INFO - Epoch(train) [144][1540/3757] lr: 1.0068e-03 eta: 15:56:35 time: 0.4536 data_time: 0.0189 memory: 17006 grad_norm: 10.5327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4398 loss: 1.4398 2022/07/30 02:39:05 - mmengine - INFO - Epoch(train) [144][1560/3757] lr: 1.0068e-03 eta: 15:56:27 time: 0.4095 data_time: 0.0235 memory: 17006 grad_norm: 10.4680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3118 loss: 1.3118 2022/07/30 02:39:14 - mmengine - INFO - Epoch(train) [144][1580/3757] lr: 1.0068e-03 eta: 15:56:18 time: 0.4121 data_time: 0.0209 memory: 17006 grad_norm: 10.3840 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2369 loss: 1.2369 2022/07/30 02:39:22 - mmengine - INFO - Epoch(train) [144][1600/3757] lr: 1.0068e-03 eta: 15:56:10 time: 0.4227 data_time: 0.0223 memory: 17006 grad_norm: 11.0821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5666 loss: 1.5666 2022/07/30 02:39:30 - mmengine - INFO - Epoch(train) [144][1620/3757] lr: 1.0068e-03 eta: 15:56:01 time: 0.4131 data_time: 0.0181 memory: 17006 grad_norm: 10.9261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4930 loss: 1.4930 2022/07/30 02:39:38 - mmengine - INFO - Epoch(train) [144][1640/3757] lr: 1.0068e-03 eta: 15:55:53 time: 0.4066 data_time: 0.0217 memory: 17006 grad_norm: 10.5995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6028 loss: 1.6028 2022/07/30 02:39:47 - mmengine - INFO - Epoch(train) [144][1660/3757] lr: 1.0068e-03 eta: 15:55:44 time: 0.4119 data_time: 0.0195 memory: 17006 grad_norm: 10.8416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4865 loss: 1.4865 2022/07/30 02:39:55 - mmengine - INFO - Epoch(train) [144][1680/3757] lr: 1.0068e-03 eta: 15:55:36 time: 0.4128 data_time: 0.0225 memory: 17006 grad_norm: 10.6134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3868 loss: 1.3868 2022/07/30 02:40:03 - mmengine - INFO - Epoch(train) [144][1700/3757] lr: 1.0068e-03 eta: 15:55:27 time: 0.4180 data_time: 0.0204 memory: 17006 grad_norm: 10.8716 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5641 loss: 1.5641 2022/07/30 02:40:12 - mmengine - INFO - Epoch(train) [144][1720/3757] lr: 1.0068e-03 eta: 15:55:19 time: 0.4158 data_time: 0.0215 memory: 17006 grad_norm: 11.2010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4755 loss: 1.4755 2022/07/30 02:40:20 - mmengine - INFO - Epoch(train) [144][1740/3757] lr: 1.0068e-03 eta: 15:55:10 time: 0.4038 data_time: 0.0182 memory: 17006 grad_norm: 10.6751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4616 loss: 1.4616 2022/07/30 02:40:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:40:28 - mmengine - INFO - Epoch(train) [144][1760/3757] lr: 1.0068e-03 eta: 15:55:02 time: 0.4213 data_time: 0.0214 memory: 17006 grad_norm: 10.0505 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1547 loss: 1.1547 2022/07/30 02:40:37 - mmengine - INFO - Epoch(train) [144][1780/3757] lr: 1.0068e-03 eta: 15:54:54 time: 0.4142 data_time: 0.0191 memory: 17006 grad_norm: 11.2592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2821 loss: 1.2821 2022/07/30 02:40:45 - mmengine - INFO - Epoch(train) [144][1800/3757] lr: 1.0068e-03 eta: 15:54:45 time: 0.4083 data_time: 0.0231 memory: 17006 grad_norm: 10.5770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2417 loss: 1.2417 2022/07/30 02:40:53 - mmengine - INFO - Epoch(train) [144][1820/3757] lr: 1.0068e-03 eta: 15:54:37 time: 0.4186 data_time: 0.0220 memory: 17006 grad_norm: 10.7998 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4781 loss: 1.4781 2022/07/30 02:41:01 - mmengine - INFO - Epoch(train) [144][1840/3757] lr: 1.0068e-03 eta: 15:54:28 time: 0.4066 data_time: 0.0214 memory: 17006 grad_norm: 11.0395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3415 loss: 1.3415 2022/07/30 02:41:09 - mmengine - INFO - Epoch(train) [144][1860/3757] lr: 1.0068e-03 eta: 15:54:19 time: 0.4038 data_time: 0.0175 memory: 17006 grad_norm: 10.4349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4764 loss: 1.4764 2022/07/30 02:41:18 - mmengine - INFO - Epoch(train) [144][1880/3757] lr: 1.0068e-03 eta: 15:54:11 time: 0.4179 data_time: 0.0221 memory: 17006 grad_norm: 10.5157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3036 loss: 1.3036 2022/07/30 02:41:26 - mmengine - INFO - Epoch(train) [144][1900/3757] lr: 1.0068e-03 eta: 15:54:03 time: 0.4143 data_time: 0.0183 memory: 17006 grad_norm: 10.6154 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2872 loss: 1.2872 2022/07/30 02:41:34 - mmengine - INFO - Epoch(train) [144][1920/3757] lr: 1.0068e-03 eta: 15:53:54 time: 0.4133 data_time: 0.0223 memory: 17006 grad_norm: 10.6104 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1490 loss: 1.1490 2022/07/30 02:41:43 - mmengine - INFO - Epoch(train) [144][1940/3757] lr: 1.0068e-03 eta: 15:53:46 time: 0.4241 data_time: 0.0188 memory: 17006 grad_norm: 10.2579 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/07/30 02:41:51 - mmengine - INFO - Epoch(train) [144][1960/3757] lr: 1.0068e-03 eta: 15:53:38 time: 0.4149 data_time: 0.0215 memory: 17006 grad_norm: 10.6587 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1592 loss: 1.1592 2022/07/30 02:41:59 - mmengine - INFO - Epoch(train) [144][1980/3757] lr: 1.0068e-03 eta: 15:53:29 time: 0.4032 data_time: 0.0176 memory: 17006 grad_norm: 10.7411 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4507 loss: 1.4507 2022/07/30 02:42:08 - mmengine - INFO - Epoch(train) [144][2000/3757] lr: 1.0068e-03 eta: 15:53:20 time: 0.4122 data_time: 0.0223 memory: 17006 grad_norm: 10.9221 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5119 loss: 1.5119 2022/07/30 02:42:16 - mmengine - INFO - Epoch(train) [144][2020/3757] lr: 1.0068e-03 eta: 15:53:12 time: 0.4073 data_time: 0.0206 memory: 17006 grad_norm: 10.7609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3306 loss: 1.3306 2022/07/30 02:42:24 - mmengine - INFO - Epoch(train) [144][2040/3757] lr: 1.0068e-03 eta: 15:53:03 time: 0.4107 data_time: 0.0220 memory: 17006 grad_norm: 10.9470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3441 loss: 1.3441 2022/07/30 02:42:32 - mmengine - INFO - Epoch(train) [144][2060/3757] lr: 1.0068e-03 eta: 15:52:55 time: 0.4073 data_time: 0.0197 memory: 17006 grad_norm: 10.6928 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4015 loss: 1.4015 2022/07/30 02:42:40 - mmengine - INFO - Epoch(train) [144][2080/3757] lr: 1.0068e-03 eta: 15:52:46 time: 0.4138 data_time: 0.0228 memory: 17006 grad_norm: 11.2126 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4773 loss: 1.4773 2022/07/30 02:42:49 - mmengine - INFO - Epoch(train) [144][2100/3757] lr: 1.0068e-03 eta: 15:52:37 time: 0.4052 data_time: 0.0188 memory: 17006 grad_norm: 10.5909 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4462 loss: 1.4462 2022/07/30 02:42:57 - mmengine - INFO - Epoch(train) [144][2120/3757] lr: 1.0068e-03 eta: 15:52:29 time: 0.4067 data_time: 0.0207 memory: 17006 grad_norm: 10.6934 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2381 loss: 1.2381 2022/07/30 02:43:05 - mmengine - INFO - Epoch(train) [144][2140/3757] lr: 1.0068e-03 eta: 15:52:21 time: 0.4311 data_time: 0.0203 memory: 17006 grad_norm: 11.2508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7477 loss: 1.7477 2022/07/30 02:43:14 - mmengine - INFO - Epoch(train) [144][2160/3757] lr: 1.0068e-03 eta: 15:52:12 time: 0.4087 data_time: 0.0228 memory: 17006 grad_norm: 10.9885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2104 loss: 1.2104 2022/07/30 02:43:22 - mmengine - INFO - Epoch(train) [144][2180/3757] lr: 1.0068e-03 eta: 15:52:04 time: 0.4317 data_time: 0.0187 memory: 17006 grad_norm: 11.0956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6109 loss: 1.6109 2022/07/30 02:43:30 - mmengine - INFO - Epoch(train) [144][2200/3757] lr: 1.0068e-03 eta: 15:51:56 time: 0.4078 data_time: 0.0213 memory: 17006 grad_norm: 10.9969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2677 loss: 1.2677 2022/07/30 02:43:39 - mmengine - INFO - Epoch(train) [144][2220/3757] lr: 1.0068e-03 eta: 15:51:47 time: 0.4062 data_time: 0.0187 memory: 17006 grad_norm: 10.4649 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6859 loss: 1.6859 2022/07/30 02:43:47 - mmengine - INFO - Epoch(train) [144][2240/3757] lr: 1.0068e-03 eta: 15:51:39 time: 0.4353 data_time: 0.0223 memory: 17006 grad_norm: 10.7094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5166 loss: 1.5166 2022/07/30 02:43:55 - mmengine - INFO - Epoch(train) [144][2260/3757] lr: 1.0068e-03 eta: 15:51:30 time: 0.4055 data_time: 0.0191 memory: 17006 grad_norm: 10.2639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5800 loss: 1.5800 2022/07/30 02:44:04 - mmengine - INFO - Epoch(train) [144][2280/3757] lr: 1.0068e-03 eta: 15:51:22 time: 0.4132 data_time: 0.0215 memory: 17006 grad_norm: 10.3449 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5035 loss: 1.5035 2022/07/30 02:44:12 - mmengine - INFO - Epoch(train) [144][2300/3757] lr: 1.0068e-03 eta: 15:51:14 time: 0.4120 data_time: 0.0199 memory: 17006 grad_norm: 10.8294 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4016 loss: 1.4016 2022/07/30 02:44:20 - mmengine - INFO - Epoch(train) [144][2320/3757] lr: 1.0068e-03 eta: 15:51:05 time: 0.4073 data_time: 0.0224 memory: 17006 grad_norm: 10.9925 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2980 loss: 1.2980 2022/07/30 02:44:29 - mmengine - INFO - Epoch(train) [144][2340/3757] lr: 1.0068e-03 eta: 15:50:57 time: 0.4164 data_time: 0.0188 memory: 17006 grad_norm: 11.2312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4084 loss: 1.4084 2022/07/30 02:44:37 - mmengine - INFO - Epoch(train) [144][2360/3757] lr: 1.0068e-03 eta: 15:50:48 time: 0.4154 data_time: 0.0216 memory: 17006 grad_norm: 11.1082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6043 loss: 1.6043 2022/07/30 02:44:45 - mmengine - INFO - Epoch(train) [144][2380/3757] lr: 1.0068e-03 eta: 15:50:40 time: 0.4211 data_time: 0.0198 memory: 17006 grad_norm: 11.1306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4480 loss: 1.4480 2022/07/30 02:44:54 - mmengine - INFO - Epoch(train) [144][2400/3757] lr: 1.0068e-03 eta: 15:50:31 time: 0.4076 data_time: 0.0224 memory: 17006 grad_norm: 10.6879 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4422 loss: 1.4422 2022/07/30 02:45:02 - mmengine - INFO - Epoch(train) [144][2420/3757] lr: 1.0068e-03 eta: 15:50:23 time: 0.4188 data_time: 0.0197 memory: 17006 grad_norm: 11.1745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5025 loss: 1.5025 2022/07/30 02:45:10 - mmengine - INFO - Epoch(train) [144][2440/3757] lr: 1.0068e-03 eta: 15:50:14 time: 0.4080 data_time: 0.0220 memory: 17006 grad_norm: 11.1783 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2846 loss: 1.2846 2022/07/30 02:45:18 - mmengine - INFO - Epoch(train) [144][2460/3757] lr: 1.0068e-03 eta: 15:50:06 time: 0.4045 data_time: 0.0179 memory: 17006 grad_norm: 10.6011 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7030 loss: 1.7030 2022/07/30 02:45:27 - mmengine - INFO - Epoch(train) [144][2480/3757] lr: 1.0068e-03 eta: 15:49:57 time: 0.4238 data_time: 0.0228 memory: 17006 grad_norm: 10.7784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4314 loss: 1.4314 2022/07/30 02:45:35 - mmengine - INFO - Epoch(train) [144][2500/3757] lr: 1.0068e-03 eta: 15:49:49 time: 0.4165 data_time: 0.0188 memory: 17006 grad_norm: 10.6447 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3981 loss: 1.3981 2022/07/30 02:45:44 - mmengine - INFO - Epoch(train) [144][2520/3757] lr: 1.0068e-03 eta: 15:49:41 time: 0.4310 data_time: 0.0223 memory: 17006 grad_norm: 10.2626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3139 loss: 1.3139 2022/07/30 02:45:52 - mmengine - INFO - Epoch(train) [144][2540/3757] lr: 1.0068e-03 eta: 15:49:32 time: 0.4053 data_time: 0.0185 memory: 17006 grad_norm: 11.1488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2230 loss: 1.2230 2022/07/30 02:46:00 - mmengine - INFO - Epoch(train) [144][2560/3757] lr: 1.0068e-03 eta: 15:49:24 time: 0.4058 data_time: 0.0200 memory: 17006 grad_norm: 11.4315 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5490 loss: 1.5490 2022/07/30 02:46:08 - mmengine - INFO - Epoch(train) [144][2580/3757] lr: 1.0068e-03 eta: 15:49:16 time: 0.4222 data_time: 0.0210 memory: 17006 grad_norm: 11.0046 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7392 loss: 1.7392 2022/07/30 02:46:17 - mmengine - INFO - Epoch(train) [144][2600/3757] lr: 1.0068e-03 eta: 15:49:07 time: 0.4186 data_time: 0.0219 memory: 17006 grad_norm: 10.7205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0019 loss: 1.0019 2022/07/30 02:46:25 - mmengine - INFO - Epoch(train) [144][2620/3757] lr: 1.0068e-03 eta: 15:48:59 time: 0.4261 data_time: 0.0206 memory: 17006 grad_norm: 10.5469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/07/30 02:46:34 - mmengine - INFO - Epoch(train) [144][2640/3757] lr: 1.0068e-03 eta: 15:48:51 time: 0.4087 data_time: 0.0208 memory: 17006 grad_norm: 11.0491 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9975 loss: 0.9975 2022/07/30 02:46:42 - mmengine - INFO - Epoch(train) [144][2660/3757] lr: 1.0068e-03 eta: 15:48:42 time: 0.4213 data_time: 0.0223 memory: 17006 grad_norm: 11.1488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3549 loss: 1.3549 2022/07/30 02:46:50 - mmengine - INFO - Epoch(train) [144][2680/3757] lr: 1.0068e-03 eta: 15:48:34 time: 0.4061 data_time: 0.0207 memory: 17006 grad_norm: 10.4537 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4006 loss: 1.4006 2022/07/30 02:46:59 - mmengine - INFO - Epoch(train) [144][2700/3757] lr: 1.0068e-03 eta: 15:48:26 time: 0.4426 data_time: 0.0182 memory: 17006 grad_norm: 11.0320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3456 loss: 1.3456 2022/07/30 02:47:07 - mmengine - INFO - Epoch(train) [144][2720/3757] lr: 1.0068e-03 eta: 15:48:17 time: 0.4123 data_time: 0.0205 memory: 17006 grad_norm: 10.7186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2516 loss: 1.2516 2022/07/30 02:47:16 - mmengine - INFO - Epoch(train) [144][2740/3757] lr: 1.0068e-03 eta: 15:48:09 time: 0.4109 data_time: 0.0218 memory: 17006 grad_norm: 10.4565 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3089 loss: 1.3089 2022/07/30 02:47:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:47:24 - mmengine - INFO - Epoch(train) [144][2760/3757] lr: 1.0068e-03 eta: 15:48:01 time: 0.4291 data_time: 0.0230 memory: 17006 grad_norm: 10.9776 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0769 loss: 1.0769 2022/07/30 02:47:32 - mmengine - INFO - Epoch(train) [144][2780/3757] lr: 1.0068e-03 eta: 15:47:52 time: 0.4067 data_time: 0.0223 memory: 17006 grad_norm: 10.6921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/07/30 02:47:40 - mmengine - INFO - Epoch(train) [144][2800/3757] lr: 1.0068e-03 eta: 15:47:44 time: 0.4051 data_time: 0.0204 memory: 17006 grad_norm: 10.0654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2565 loss: 1.2565 2022/07/30 02:47:49 - mmengine - INFO - Epoch(train) [144][2820/3757] lr: 1.0068e-03 eta: 15:47:35 time: 0.4230 data_time: 0.0178 memory: 17006 grad_norm: 11.1260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2909 loss: 1.2909 2022/07/30 02:47:57 - mmengine - INFO - Epoch(train) [144][2840/3757] lr: 1.0068e-03 eta: 15:47:27 time: 0.4081 data_time: 0.0220 memory: 17006 grad_norm: 11.2685 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4063 loss: 1.4063 2022/07/30 02:48:06 - mmengine - INFO - Epoch(train) [144][2860/3757] lr: 1.0068e-03 eta: 15:47:19 time: 0.4329 data_time: 0.0218 memory: 17006 grad_norm: 10.3450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2927 loss: 1.2927 2022/07/30 02:48:14 - mmengine - INFO - Epoch(train) [144][2880/3757] lr: 1.0068e-03 eta: 15:47:10 time: 0.4059 data_time: 0.0214 memory: 17006 grad_norm: 10.9826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3127 loss: 1.3127 2022/07/30 02:48:23 - mmengine - INFO - Epoch(train) [144][2900/3757] lr: 1.0068e-03 eta: 15:47:02 time: 0.4287 data_time: 0.0221 memory: 17006 grad_norm: 11.1084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2185 loss: 1.2185 2022/07/30 02:48:31 - mmengine - INFO - Epoch(train) [144][2920/3757] lr: 1.0068e-03 eta: 15:46:54 time: 0.4071 data_time: 0.0222 memory: 17006 grad_norm: 10.6343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3254 loss: 1.3254 2022/07/30 02:48:39 - mmengine - INFO - Epoch(train) [144][2940/3757] lr: 1.0068e-03 eta: 15:46:45 time: 0.4045 data_time: 0.0183 memory: 17006 grad_norm: 11.1759 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4318 loss: 1.4318 2022/07/30 02:48:48 - mmengine - INFO - Epoch(train) [144][2960/3757] lr: 1.0068e-03 eta: 15:46:37 time: 0.4546 data_time: 0.0229 memory: 17006 grad_norm: 10.8358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5141 loss: 1.5141 2022/07/30 02:48:56 - mmengine - INFO - Epoch(train) [144][2980/3757] lr: 1.0068e-03 eta: 15:46:29 time: 0.4053 data_time: 0.0199 memory: 17006 grad_norm: 10.4416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2696 loss: 1.2696 2022/07/30 02:49:05 - mmengine - INFO - Epoch(train) [144][3000/3757] lr: 1.0068e-03 eta: 15:46:21 time: 0.4388 data_time: 0.0226 memory: 17006 grad_norm: 10.6477 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4758 loss: 1.4758 2022/07/30 02:49:13 - mmengine - INFO - Epoch(train) [144][3020/3757] lr: 1.0068e-03 eta: 15:46:12 time: 0.4060 data_time: 0.0176 memory: 17006 grad_norm: 10.5904 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1542 loss: 1.1542 2022/07/30 02:49:22 - mmengine - INFO - Epoch(train) [144][3040/3757] lr: 1.0068e-03 eta: 15:46:05 time: 0.4472 data_time: 0.0228 memory: 17006 grad_norm: 10.8203 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5235 loss: 1.5235 2022/07/30 02:49:30 - mmengine - INFO - Epoch(train) [144][3060/3757] lr: 1.0068e-03 eta: 15:45:56 time: 0.4039 data_time: 0.0180 memory: 17006 grad_norm: 10.7564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3837 loss: 1.3837 2022/07/30 02:49:38 - mmengine - INFO - Epoch(train) [144][3080/3757] lr: 1.0068e-03 eta: 15:45:47 time: 0.4071 data_time: 0.0224 memory: 17006 grad_norm: 10.6659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0587 loss: 1.0587 2022/07/30 02:49:47 - mmengine - INFO - Epoch(train) [144][3100/3757] lr: 1.0068e-03 eta: 15:45:40 time: 0.4493 data_time: 0.0205 memory: 17006 grad_norm: 11.4204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5398 loss: 1.5398 2022/07/30 02:49:56 - mmengine - INFO - Epoch(train) [144][3120/3757] lr: 1.0068e-03 eta: 15:45:31 time: 0.4086 data_time: 0.0223 memory: 17006 grad_norm: 10.8802 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5122 loss: 1.5122 2022/07/30 02:50:04 - mmengine - INFO - Epoch(train) [144][3140/3757] lr: 1.0068e-03 eta: 15:45:23 time: 0.4306 data_time: 0.0200 memory: 17006 grad_norm: 10.5938 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1957 loss: 1.1957 2022/07/30 02:50:12 - mmengine - INFO - Epoch(train) [144][3160/3757] lr: 1.0068e-03 eta: 15:45:15 time: 0.4101 data_time: 0.0233 memory: 17006 grad_norm: 10.9316 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3517 loss: 1.3517 2022/07/30 02:50:20 - mmengine - INFO - Epoch(train) [144][3180/3757] lr: 1.0068e-03 eta: 15:45:06 time: 0.4047 data_time: 0.0178 memory: 17006 grad_norm: 10.4461 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3065 loss: 1.3065 2022/07/30 02:50:29 - mmengine - INFO - Epoch(train) [144][3200/3757] lr: 1.0068e-03 eta: 15:44:58 time: 0.4140 data_time: 0.0210 memory: 17006 grad_norm: 10.4729 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3956 loss: 1.3956 2022/07/30 02:50:37 - mmengine - INFO - Epoch(train) [144][3220/3757] lr: 1.0068e-03 eta: 15:44:49 time: 0.4104 data_time: 0.0196 memory: 17006 grad_norm: 10.9206 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5202 loss: 1.5202 2022/07/30 02:50:45 - mmengine - INFO - Epoch(train) [144][3240/3757] lr: 1.0068e-03 eta: 15:44:41 time: 0.4177 data_time: 0.0214 memory: 17006 grad_norm: 10.6029 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2199 loss: 1.2199 2022/07/30 02:50:54 - mmengine - INFO - Epoch(train) [144][3260/3757] lr: 1.0068e-03 eta: 15:44:32 time: 0.4049 data_time: 0.0193 memory: 17006 grad_norm: 11.7947 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/07/30 02:51:02 - mmengine - INFO - Epoch(train) [144][3280/3757] lr: 1.0068e-03 eta: 15:44:23 time: 0.4070 data_time: 0.0218 memory: 17006 grad_norm: 10.6454 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4787 loss: 1.4787 2022/07/30 02:51:10 - mmengine - INFO - Epoch(train) [144][3300/3757] lr: 1.0068e-03 eta: 15:44:15 time: 0.4070 data_time: 0.0195 memory: 17006 grad_norm: 10.9843 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3212 loss: 1.3212 2022/07/30 02:51:18 - mmengine - INFO - Epoch(train) [144][3320/3757] lr: 1.0068e-03 eta: 15:44:06 time: 0.4139 data_time: 0.0220 memory: 17006 grad_norm: 11.4963 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5535 loss: 1.5535 2022/07/30 02:51:27 - mmengine - INFO - Epoch(train) [144][3340/3757] lr: 1.0068e-03 eta: 15:43:58 time: 0.4300 data_time: 0.0187 memory: 17006 grad_norm: 11.1038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4432 loss: 1.4432 2022/07/30 02:51:35 - mmengine - INFO - Epoch(train) [144][3360/3757] lr: 1.0068e-03 eta: 15:43:50 time: 0.4212 data_time: 0.0226 memory: 17006 grad_norm: 11.1759 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4435 loss: 1.4435 2022/07/30 02:51:43 - mmengine - INFO - Epoch(train) [144][3380/3757] lr: 1.0068e-03 eta: 15:43:42 time: 0.4072 data_time: 0.0190 memory: 17006 grad_norm: 10.6298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2259 loss: 1.2259 2022/07/30 02:51:52 - mmengine - INFO - Epoch(train) [144][3400/3757] lr: 1.0068e-03 eta: 15:43:33 time: 0.4294 data_time: 0.0234 memory: 17006 grad_norm: 11.1220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5624 loss: 1.5624 2022/07/30 02:52:00 - mmengine - INFO - Epoch(train) [144][3420/3757] lr: 1.0068e-03 eta: 15:43:25 time: 0.4047 data_time: 0.0177 memory: 17006 grad_norm: 10.9451 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3031 loss: 1.3031 2022/07/30 02:52:08 - mmengine - INFO - Epoch(train) [144][3440/3757] lr: 1.0068e-03 eta: 15:43:16 time: 0.4113 data_time: 0.0216 memory: 17006 grad_norm: 10.9907 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4255 loss: 1.4255 2022/07/30 02:52:17 - mmengine - INFO - Epoch(train) [144][3460/3757] lr: 1.0068e-03 eta: 15:43:08 time: 0.4164 data_time: 0.0210 memory: 17006 grad_norm: 10.9330 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3781 loss: 1.3781 2022/07/30 02:52:25 - mmengine - INFO - Epoch(train) [144][3480/3757] lr: 1.0068e-03 eta: 15:42:59 time: 0.4060 data_time: 0.0213 memory: 17006 grad_norm: 10.9116 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1743 loss: 1.1743 2022/07/30 02:52:33 - mmengine - INFO - Epoch(train) [144][3500/3757] lr: 1.0068e-03 eta: 15:42:51 time: 0.4101 data_time: 0.0210 memory: 17006 grad_norm: 10.5281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6058 loss: 1.6058 2022/07/30 02:52:41 - mmengine - INFO - Epoch(train) [144][3520/3757] lr: 1.0068e-03 eta: 15:42:42 time: 0.4059 data_time: 0.0205 memory: 17006 grad_norm: 10.6782 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1160 loss: 1.1160 2022/07/30 02:52:49 - mmengine - INFO - Epoch(train) [144][3540/3757] lr: 1.0068e-03 eta: 15:42:33 time: 0.4055 data_time: 0.0192 memory: 17006 grad_norm: 10.7112 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/07/30 02:52:59 - mmengine - INFO - Epoch(train) [144][3560/3757] lr: 1.0068e-03 eta: 15:42:26 time: 0.4581 data_time: 0.0237 memory: 17006 grad_norm: 10.4556 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1036 loss: 1.1036 2022/07/30 02:53:07 - mmengine - INFO - Epoch(train) [144][3580/3757] lr: 1.0068e-03 eta: 15:42:17 time: 0.4064 data_time: 0.0191 memory: 17006 grad_norm: 10.6676 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4508 loss: 1.4508 2022/07/30 02:53:15 - mmengine - INFO - Epoch(train) [144][3600/3757] lr: 1.0068e-03 eta: 15:42:09 time: 0.4089 data_time: 0.0228 memory: 17006 grad_norm: 11.0495 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4262 loss: 1.4262 2022/07/30 02:53:23 - mmengine - INFO - Epoch(train) [144][3620/3757] lr: 1.0068e-03 eta: 15:42:00 time: 0.4061 data_time: 0.0192 memory: 17006 grad_norm: 10.5665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5085 loss: 1.5085 2022/07/30 02:53:31 - mmengine - INFO - Epoch(train) [144][3640/3757] lr: 1.0068e-03 eta: 15:41:52 time: 0.4100 data_time: 0.0226 memory: 17006 grad_norm: 10.5503 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4626 loss: 1.4626 2022/07/30 02:53:40 - mmengine - INFO - Epoch(train) [144][3660/3757] lr: 1.0068e-03 eta: 15:41:44 time: 0.4360 data_time: 0.0185 memory: 17006 grad_norm: 11.2959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3971 loss: 1.3971 2022/07/30 02:53:48 - mmengine - INFO - Epoch(train) [144][3680/3757] lr: 1.0068e-03 eta: 15:41:35 time: 0.4055 data_time: 0.0212 memory: 17006 grad_norm: 11.7249 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5773 loss: 1.5773 2022/07/30 02:53:57 - mmengine - INFO - Epoch(train) [144][3700/3757] lr: 1.0068e-03 eta: 15:41:27 time: 0.4236 data_time: 0.0203 memory: 17006 grad_norm: 10.4626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3354 loss: 1.3354 2022/07/30 02:54:05 - mmengine - INFO - Epoch(train) [144][3720/3757] lr: 1.0068e-03 eta: 15:41:18 time: 0.4081 data_time: 0.0214 memory: 17006 grad_norm: 10.5053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2621 loss: 1.2621 2022/07/30 02:54:14 - mmengine - INFO - Epoch(train) [144][3740/3757] lr: 1.0068e-03 eta: 15:41:11 time: 0.4661 data_time: 0.0226 memory: 17006 grad_norm: 10.8072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1164 loss: 1.1164 2022/07/30 02:54:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:54:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 02:54:21 - mmengine - INFO - Epoch(train) [144][3757/3757] lr: 1.0068e-03 eta: 15:41:11 time: 0.3931 data_time: 0.0199 memory: 17006 grad_norm: 10.8089 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2569 loss: 1.2569 2022/07/30 02:54:21 - mmengine - INFO - Saving checkpoint at 144 epochs 2022/07/30 02:54:35 - mmengine - INFO - Epoch(train) [145][20/3757] lr: 9.5492e-04 eta: 15:40:48 time: 0.4568 data_time: 0.0675 memory: 17006 grad_norm: 11.1267 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4453 loss: 1.4453 2022/07/30 02:54:43 - mmengine - INFO - Epoch(train) [145][40/3757] lr: 9.5492e-04 eta: 15:40:39 time: 0.4195 data_time: 0.0200 memory: 17006 grad_norm: 10.3743 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3158 loss: 1.3158 2022/07/30 02:54:51 - mmengine - INFO - Epoch(train) [145][60/3757] lr: 9.5492e-04 eta: 15:40:31 time: 0.4040 data_time: 0.0198 memory: 17006 grad_norm: 11.2112 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4995 loss: 1.4995 2022/07/30 02:54:59 - mmengine - INFO - Epoch(train) [145][80/3757] lr: 9.5492e-04 eta: 15:40:22 time: 0.4087 data_time: 0.0223 memory: 17006 grad_norm: 10.8000 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2996 loss: 1.2996 2022/07/30 02:55:08 - mmengine - INFO - Epoch(train) [145][100/3757] lr: 9.5492e-04 eta: 15:40:14 time: 0.4185 data_time: 0.0184 memory: 17006 grad_norm: 10.4100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3282 loss: 1.3282 2022/07/30 02:55:16 - mmengine - INFO - Epoch(train) [145][120/3757] lr: 9.5492e-04 eta: 15:40:05 time: 0.4105 data_time: 0.0222 memory: 17006 grad_norm: 11.3251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3274 loss: 1.3274 2022/07/30 02:55:24 - mmengine - INFO - Epoch(train) [145][140/3757] lr: 9.5492e-04 eta: 15:39:57 time: 0.4052 data_time: 0.0199 memory: 17006 grad_norm: 11.2343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4091 loss: 1.4091 2022/07/30 02:55:33 - mmengine - INFO - Epoch(train) [145][160/3757] lr: 9.5492e-04 eta: 15:39:49 time: 0.4284 data_time: 0.0232 memory: 17006 grad_norm: 10.4311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2007 loss: 1.2007 2022/07/30 02:55:41 - mmengine - INFO - Epoch(train) [145][180/3757] lr: 9.5492e-04 eta: 15:39:40 time: 0.4038 data_time: 0.0208 memory: 17006 grad_norm: 10.8702 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1736 loss: 1.1736 2022/07/30 02:55:49 - mmengine - INFO - Epoch(train) [145][200/3757] lr: 9.5492e-04 eta: 15:39:31 time: 0.4075 data_time: 0.0200 memory: 17006 grad_norm: 11.1397 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/07/30 02:55:57 - mmengine - INFO - Epoch(train) [145][220/3757] lr: 9.5492e-04 eta: 15:39:23 time: 0.4212 data_time: 0.0219 memory: 17006 grad_norm: 10.1229 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1295 loss: 1.1295 2022/07/30 02:56:06 - mmengine - INFO - Epoch(train) [145][240/3757] lr: 9.5492e-04 eta: 15:39:14 time: 0.4079 data_time: 0.0215 memory: 17006 grad_norm: 11.7659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2744 loss: 1.2744 2022/07/30 02:56:14 - mmengine - INFO - Epoch(train) [145][260/3757] lr: 9.5492e-04 eta: 15:39:06 time: 0.4285 data_time: 0.0220 memory: 17006 grad_norm: 10.5948 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3086 loss: 1.3086 2022/07/30 02:56:23 - mmengine - INFO - Epoch(train) [145][280/3757] lr: 9.5492e-04 eta: 15:38:58 time: 0.4189 data_time: 0.0216 memory: 17006 grad_norm: 10.9951 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3339 loss: 1.3339 2022/07/30 02:56:31 - mmengine - INFO - Epoch(train) [145][300/3757] lr: 9.5492e-04 eta: 15:38:49 time: 0.4049 data_time: 0.0201 memory: 17006 grad_norm: 10.7225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/07/30 02:56:39 - mmengine - INFO - Epoch(train) [145][320/3757] lr: 9.5492e-04 eta: 15:38:41 time: 0.4293 data_time: 0.0232 memory: 17006 grad_norm: 10.6989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/07/30 02:56:48 - mmengine - INFO - Epoch(train) [145][340/3757] lr: 9.5492e-04 eta: 15:38:33 time: 0.4067 data_time: 0.0208 memory: 17006 grad_norm: 10.4327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2400 loss: 1.2400 2022/07/30 02:56:56 - mmengine - INFO - Epoch(train) [145][360/3757] lr: 9.5492e-04 eta: 15:38:25 time: 0.4326 data_time: 0.0245 memory: 17006 grad_norm: 11.1097 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4613 loss: 1.4613 2022/07/30 02:57:04 - mmengine - INFO - Epoch(train) [145][380/3757] lr: 9.5492e-04 eta: 15:38:16 time: 0.4058 data_time: 0.0208 memory: 17006 grad_norm: 11.3225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/07/30 02:57:13 - mmengine - INFO - Epoch(train) [145][400/3757] lr: 9.5492e-04 eta: 15:38:09 time: 0.4497 data_time: 0.0224 memory: 17006 grad_norm: 10.9802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2260 loss: 1.2260 2022/07/30 02:57:21 - mmengine - INFO - Epoch(train) [145][420/3757] lr: 9.5492e-04 eta: 15:38:00 time: 0.4035 data_time: 0.0200 memory: 17006 grad_norm: 11.2707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5457 loss: 1.5457 2022/07/30 02:57:30 - mmengine - INFO - Epoch(train) [145][440/3757] lr: 9.5492e-04 eta: 15:37:51 time: 0.4100 data_time: 0.0217 memory: 17006 grad_norm: 10.3852 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3095 loss: 1.3095 2022/07/30 02:57:39 - mmengine - INFO - Epoch(train) [145][460/3757] lr: 9.5492e-04 eta: 15:37:44 time: 0.4509 data_time: 0.0211 memory: 17006 grad_norm: 11.3885 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4419 loss: 1.4419 2022/07/30 02:57:47 - mmengine - INFO - Epoch(train) [145][480/3757] lr: 9.5492e-04 eta: 15:37:35 time: 0.4081 data_time: 0.0216 memory: 17006 grad_norm: 10.2746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5322 loss: 1.5322 2022/07/30 02:57:55 - mmengine - INFO - Epoch(train) [145][500/3757] lr: 9.5492e-04 eta: 15:37:27 time: 0.4258 data_time: 0.0211 memory: 17006 grad_norm: 10.7504 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1985 loss: 1.1985 2022/07/30 02:58:04 - mmengine - INFO - Epoch(train) [145][520/3757] lr: 9.5492e-04 eta: 15:37:19 time: 0.4317 data_time: 0.0232 memory: 17006 grad_norm: 10.9904 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2969 loss: 1.2969 2022/07/30 02:58:13 - mmengine - INFO - Epoch(train) [145][540/3757] lr: 9.5492e-04 eta: 15:37:11 time: 0.4410 data_time: 0.0211 memory: 17006 grad_norm: 10.9081 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3560 loss: 1.3560 2022/07/30 02:58:21 - mmengine - INFO - Epoch(train) [145][560/3757] lr: 9.5492e-04 eta: 15:37:03 time: 0.4099 data_time: 0.0229 memory: 17006 grad_norm: 10.3837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2629 loss: 1.2629 2022/07/30 02:58:29 - mmengine - INFO - Epoch(train) [145][580/3757] lr: 9.5492e-04 eta: 15:36:54 time: 0.4110 data_time: 0.0204 memory: 17006 grad_norm: 10.7974 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2112 loss: 1.2112 2022/07/30 02:58:38 - mmengine - INFO - Epoch(train) [145][600/3757] lr: 9.5492e-04 eta: 15:36:46 time: 0.4150 data_time: 0.0221 memory: 17006 grad_norm: 10.6438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3688 loss: 1.3688 2022/07/30 02:58:46 - mmengine - INFO - Epoch(train) [145][620/3757] lr: 9.5492e-04 eta: 15:36:37 time: 0.4067 data_time: 0.0215 memory: 17006 grad_norm: 10.8558 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4629 loss: 1.4629 2022/07/30 02:58:55 - mmengine - INFO - Epoch(train) [145][640/3757] lr: 9.5492e-04 eta: 15:36:30 time: 0.4373 data_time: 0.0218 memory: 17006 grad_norm: 10.5652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4781 loss: 1.4781 2022/07/30 02:59:03 - mmengine - INFO - Epoch(train) [145][660/3757] lr: 9.5492e-04 eta: 15:36:21 time: 0.4069 data_time: 0.0209 memory: 17006 grad_norm: 11.1606 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4839 loss: 1.4839 2022/07/30 02:59:11 - mmengine - INFO - Epoch(train) [145][680/3757] lr: 9.5492e-04 eta: 15:36:12 time: 0.4059 data_time: 0.0213 memory: 17006 grad_norm: 10.5312 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7912 loss: 1.7912 2022/07/30 02:59:19 - mmengine - INFO - Epoch(train) [145][700/3757] lr: 9.5492e-04 eta: 15:36:04 time: 0.4220 data_time: 0.0198 memory: 17006 grad_norm: 11.2403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3608 loss: 1.3608 2022/07/30 02:59:28 - mmengine - INFO - Epoch(train) [145][720/3757] lr: 9.5492e-04 eta: 15:35:55 time: 0.4068 data_time: 0.0207 memory: 17006 grad_norm: 10.4603 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1366 loss: 1.1366 2022/07/30 02:59:36 - mmengine - INFO - Epoch(train) [145][740/3757] lr: 9.5492e-04 eta: 15:35:47 time: 0.4280 data_time: 0.0213 memory: 17006 grad_norm: 10.6136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2937 loss: 1.2937 2022/07/30 02:59:44 - mmengine - INFO - Epoch(train) [145][760/3757] lr: 9.5492e-04 eta: 15:35:39 time: 0.4051 data_time: 0.0207 memory: 17006 grad_norm: 11.0282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4248 loss: 1.4248 2022/07/30 02:59:53 - mmengine - INFO - Epoch(train) [145][780/3757] lr: 9.5492e-04 eta: 15:35:31 time: 0.4320 data_time: 0.0241 memory: 17006 grad_norm: 10.4166 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2790 loss: 1.2790 2022/07/30 03:00:01 - mmengine - INFO - Epoch(train) [145][800/3757] lr: 9.5492e-04 eta: 15:35:22 time: 0.4046 data_time: 0.0205 memory: 17006 grad_norm: 10.7227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5425 loss: 1.5425 2022/07/30 03:00:09 - mmengine - INFO - Epoch(train) [145][820/3757] lr: 9.5492e-04 eta: 15:35:13 time: 0.4049 data_time: 0.0202 memory: 17006 grad_norm: 10.6418 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3462 loss: 1.3462 2022/07/30 03:00:18 - mmengine - INFO - Epoch(train) [145][840/3757] lr: 9.5492e-04 eta: 15:35:06 time: 0.4411 data_time: 0.0228 memory: 17006 grad_norm: 10.8616 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3310 loss: 1.3310 2022/07/30 03:00:27 - mmengine - INFO - Epoch(train) [145][860/3757] lr: 9.5492e-04 eta: 15:34:57 time: 0.4243 data_time: 0.0198 memory: 17006 grad_norm: 10.7691 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1884 loss: 1.1884 2022/07/30 03:00:35 - mmengine - INFO - Epoch(train) [145][880/3757] lr: 9.5492e-04 eta: 15:34:50 time: 0.4357 data_time: 0.0232 memory: 17006 grad_norm: 11.0113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1966 loss: 1.1966 2022/07/30 03:00:44 - mmengine - INFO - Epoch(train) [145][900/3757] lr: 9.5492e-04 eta: 15:34:41 time: 0.4141 data_time: 0.0218 memory: 17006 grad_norm: 11.4582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4964 loss: 1.4964 2022/07/30 03:00:52 - mmengine - INFO - Epoch(train) [145][920/3757] lr: 9.5492e-04 eta: 15:34:32 time: 0.4056 data_time: 0.0210 memory: 17006 grad_norm: 11.0592 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5281 loss: 1.5281 2022/07/30 03:01:00 - mmengine - INFO - Epoch(train) [145][940/3757] lr: 9.5492e-04 eta: 15:34:24 time: 0.4146 data_time: 0.0209 memory: 17006 grad_norm: 10.5874 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2592 loss: 1.2592 2022/07/30 03:01:08 - mmengine - INFO - Epoch(train) [145][960/3757] lr: 9.5492e-04 eta: 15:34:16 time: 0.4111 data_time: 0.0219 memory: 17006 grad_norm: 10.4839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2763 loss: 1.2763 2022/07/30 03:01:17 - mmengine - INFO - Epoch(train) [145][980/3757] lr: 9.5492e-04 eta: 15:34:07 time: 0.4280 data_time: 0.0214 memory: 17006 grad_norm: 10.3218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2385 loss: 1.2385 2022/07/30 03:01:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:01:25 - mmengine - INFO - Epoch(train) [145][1000/3757] lr: 9.5492e-04 eta: 15:33:59 time: 0.4079 data_time: 0.0223 memory: 17006 grad_norm: 10.4428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4229 loss: 1.4229 2022/07/30 03:01:33 - mmengine - INFO - Epoch(train) [145][1020/3757] lr: 9.5492e-04 eta: 15:33:50 time: 0.4074 data_time: 0.0213 memory: 17006 grad_norm: 10.2336 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4946 loss: 1.4946 2022/07/30 03:01:41 - mmengine - INFO - Epoch(train) [145][1040/3757] lr: 9.5492e-04 eta: 15:33:42 time: 0.4056 data_time: 0.0212 memory: 17006 grad_norm: 10.6988 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3472 loss: 1.3472 2022/07/30 03:01:51 - mmengine - INFO - Epoch(train) [145][1060/3757] lr: 9.5492e-04 eta: 15:33:34 time: 0.4604 data_time: 0.0208 memory: 17006 grad_norm: 10.8186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2136 loss: 1.2136 2022/07/30 03:01:59 - mmengine - INFO - Epoch(train) [145][1080/3757] lr: 9.5492e-04 eta: 15:33:26 time: 0.4055 data_time: 0.0213 memory: 17006 grad_norm: 11.1650 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2007 loss: 1.2007 2022/07/30 03:02:07 - mmengine - INFO - Epoch(train) [145][1100/3757] lr: 9.5492e-04 eta: 15:33:17 time: 0.4169 data_time: 0.0223 memory: 17006 grad_norm: 11.1430 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1724 loss: 1.1724 2022/07/30 03:02:15 - mmengine - INFO - Epoch(train) [145][1120/3757] lr: 9.5492e-04 eta: 15:33:09 time: 0.4070 data_time: 0.0202 memory: 17006 grad_norm: 10.9510 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4195 loss: 1.4195 2022/07/30 03:02:24 - mmengine - INFO - Epoch(train) [145][1140/3757] lr: 9.5492e-04 eta: 15:33:01 time: 0.4218 data_time: 0.0227 memory: 17006 grad_norm: 11.1287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/07/30 03:02:32 - mmengine - INFO - Epoch(train) [145][1160/3757] lr: 9.5492e-04 eta: 15:32:52 time: 0.4050 data_time: 0.0197 memory: 17006 grad_norm: 10.9249 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6038 loss: 1.6038 2022/07/30 03:02:40 - mmengine - INFO - Epoch(train) [145][1180/3757] lr: 9.5492e-04 eta: 15:32:43 time: 0.4058 data_time: 0.0204 memory: 17006 grad_norm: 11.2330 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5334 loss: 1.5334 2022/07/30 03:02:49 - mmengine - INFO - Epoch(train) [145][1200/3757] lr: 9.5492e-04 eta: 15:32:35 time: 0.4195 data_time: 0.0224 memory: 17006 grad_norm: 11.3318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/07/30 03:02:57 - mmengine - INFO - Epoch(train) [145][1220/3757] lr: 9.5492e-04 eta: 15:32:26 time: 0.4065 data_time: 0.0195 memory: 17006 grad_norm: 10.4801 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1929 loss: 1.1929 2022/07/30 03:03:05 - mmengine - INFO - Epoch(train) [145][1240/3757] lr: 9.5492e-04 eta: 15:32:18 time: 0.4312 data_time: 0.0245 memory: 17006 grad_norm: 11.0721 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5375 loss: 1.5375 2022/07/30 03:03:13 - mmengine - INFO - Epoch(train) [145][1260/3757] lr: 9.5492e-04 eta: 15:32:10 time: 0.4063 data_time: 0.0210 memory: 17006 grad_norm: 10.8431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1050 loss: 1.1050 2022/07/30 03:03:22 - mmengine - INFO - Epoch(train) [145][1280/3757] lr: 9.5492e-04 eta: 15:32:01 time: 0.4062 data_time: 0.0206 memory: 17006 grad_norm: 11.3007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/07/30 03:03:30 - mmengine - INFO - Epoch(train) [145][1300/3757] lr: 9.5492e-04 eta: 15:31:53 time: 0.4429 data_time: 0.0213 memory: 17006 grad_norm: 10.8039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2079 loss: 1.2079 2022/07/30 03:03:39 - mmengine - INFO - Epoch(train) [145][1320/3757] lr: 9.5492e-04 eta: 15:31:45 time: 0.4084 data_time: 0.0201 memory: 17006 grad_norm: 10.8941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3013 loss: 1.3013 2022/07/30 03:03:47 - mmengine - INFO - Epoch(train) [145][1340/3757] lr: 9.5492e-04 eta: 15:31:37 time: 0.4229 data_time: 0.0217 memory: 17006 grad_norm: 11.0001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1514 loss: 1.1514 2022/07/30 03:03:55 - mmengine - INFO - Epoch(train) [145][1360/3757] lr: 9.5492e-04 eta: 15:31:28 time: 0.4085 data_time: 0.0225 memory: 17006 grad_norm: 10.9123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3213 loss: 1.3213 2022/07/30 03:04:04 - mmengine - INFO - Epoch(train) [145][1380/3757] lr: 9.5492e-04 eta: 15:31:20 time: 0.4384 data_time: 0.0228 memory: 17006 grad_norm: 10.8830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1540 loss: 1.1540 2022/07/30 03:04:12 - mmengine - INFO - Epoch(train) [145][1400/3757] lr: 9.5492e-04 eta: 15:31:11 time: 0.4043 data_time: 0.0198 memory: 17006 grad_norm: 10.4985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5720 loss: 1.5720 2022/07/30 03:04:21 - mmengine - INFO - Epoch(train) [145][1420/3757] lr: 9.5492e-04 eta: 15:31:03 time: 0.4132 data_time: 0.0215 memory: 17006 grad_norm: 10.9891 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4412 loss: 1.4412 2022/07/30 03:04:29 - mmengine - INFO - Epoch(train) [145][1440/3757] lr: 9.5492e-04 eta: 15:30:55 time: 0.4127 data_time: 0.0223 memory: 17006 grad_norm: 10.7989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5574 loss: 1.5574 2022/07/30 03:04:37 - mmengine - INFO - Epoch(train) [145][1460/3757] lr: 9.5492e-04 eta: 15:30:46 time: 0.4096 data_time: 0.0212 memory: 17006 grad_norm: 10.6665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3450 loss: 1.3450 2022/07/30 03:04:46 - mmengine - INFO - Epoch(train) [145][1480/3757] lr: 9.5492e-04 eta: 15:30:38 time: 0.4235 data_time: 0.0235 memory: 17006 grad_norm: 10.2175 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2212 loss: 1.2212 2022/07/30 03:04:54 - mmengine - INFO - Epoch(train) [145][1500/3757] lr: 9.5492e-04 eta: 15:30:29 time: 0.4114 data_time: 0.0206 memory: 17006 grad_norm: 11.1685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5605 loss: 1.5605 2022/07/30 03:05:02 - mmengine - INFO - Epoch(train) [145][1520/3757] lr: 9.5492e-04 eta: 15:30:21 time: 0.4078 data_time: 0.0218 memory: 17006 grad_norm: 11.1090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3585 loss: 1.3585 2022/07/30 03:05:10 - mmengine - INFO - Epoch(train) [145][1540/3757] lr: 9.5492e-04 eta: 15:30:12 time: 0.4137 data_time: 0.0226 memory: 17006 grad_norm: 10.8487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3245 loss: 1.3245 2022/07/30 03:05:18 - mmengine - INFO - Epoch(train) [145][1560/3757] lr: 9.5492e-04 eta: 15:30:04 time: 0.4076 data_time: 0.0200 memory: 17006 grad_norm: 10.9522 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3920 loss: 1.3920 2022/07/30 03:05:27 - mmengine - INFO - Epoch(train) [145][1580/3757] lr: 9.5492e-04 eta: 15:29:55 time: 0.4231 data_time: 0.0223 memory: 17006 grad_norm: 10.8769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2721 loss: 1.2721 2022/07/30 03:05:35 - mmengine - INFO - Epoch(train) [145][1600/3757] lr: 9.5492e-04 eta: 15:29:47 time: 0.4125 data_time: 0.0204 memory: 17006 grad_norm: 10.6582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2132 loss: 1.2132 2022/07/30 03:05:44 - mmengine - INFO - Epoch(train) [145][1620/3757] lr: 9.5492e-04 eta: 15:29:39 time: 0.4224 data_time: 0.0218 memory: 17006 grad_norm: 10.4770 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1216 loss: 1.1216 2022/07/30 03:05:52 - mmengine - INFO - Epoch(train) [145][1640/3757] lr: 9.5492e-04 eta: 15:29:30 time: 0.4055 data_time: 0.0204 memory: 17006 grad_norm: 11.1060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3825 loss: 1.3825 2022/07/30 03:06:01 - mmengine - INFO - Epoch(train) [145][1660/3757] lr: 9.5492e-04 eta: 15:29:23 time: 0.4517 data_time: 0.0223 memory: 17006 grad_norm: 10.4544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2624 loss: 1.2624 2022/07/30 03:06:09 - mmengine - INFO - Epoch(train) [145][1680/3757] lr: 9.5492e-04 eta: 15:29:14 time: 0.4065 data_time: 0.0213 memory: 17006 grad_norm: 11.0949 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2760 loss: 1.2760 2022/07/30 03:06:18 - mmengine - INFO - Epoch(train) [145][1700/3757] lr: 9.5492e-04 eta: 15:29:06 time: 0.4269 data_time: 0.0224 memory: 17006 grad_norm: 10.8993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3664 loss: 1.3664 2022/07/30 03:06:26 - mmengine - INFO - Epoch(train) [145][1720/3757] lr: 9.5492e-04 eta: 15:28:57 time: 0.4056 data_time: 0.0199 memory: 17006 grad_norm: 10.8720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2541 loss: 1.2541 2022/07/30 03:06:34 - mmengine - INFO - Epoch(train) [145][1740/3757] lr: 9.5492e-04 eta: 15:28:49 time: 0.4331 data_time: 0.0222 memory: 17006 grad_norm: 11.0804 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2691 loss: 1.2691 2022/07/30 03:06:43 - mmengine - INFO - Epoch(train) [145][1760/3757] lr: 9.5492e-04 eta: 15:28:41 time: 0.4053 data_time: 0.0208 memory: 17006 grad_norm: 10.5248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4012 loss: 1.4012 2022/07/30 03:06:51 - mmengine - INFO - Epoch(train) [145][1780/3757] lr: 9.5492e-04 eta: 15:28:32 time: 0.4048 data_time: 0.0199 memory: 17006 grad_norm: 11.2913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3361 loss: 1.3361 2022/07/30 03:07:00 - mmengine - INFO - Epoch(train) [145][1800/3757] lr: 9.5492e-04 eta: 15:28:24 time: 0.4419 data_time: 0.0230 memory: 17006 grad_norm: 10.7221 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2401 loss: 1.2401 2022/07/30 03:07:08 - mmengine - INFO - Epoch(train) [145][1820/3757] lr: 9.5492e-04 eta: 15:28:16 time: 0.4054 data_time: 0.0199 memory: 17006 grad_norm: 10.8942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0120 loss: 1.0120 2022/07/30 03:07:17 - mmengine - INFO - Epoch(train) [145][1840/3757] lr: 9.5492e-04 eta: 15:28:08 time: 0.4488 data_time: 0.0264 memory: 17006 grad_norm: 10.8222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1891 loss: 1.1891 2022/07/30 03:07:25 - mmengine - INFO - Epoch(train) [145][1860/3757] lr: 9.5492e-04 eta: 15:27:59 time: 0.4068 data_time: 0.0208 memory: 17006 grad_norm: 10.6827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3133 loss: 1.3133 2022/07/30 03:07:35 - mmengine - INFO - Epoch(train) [145][1880/3757] lr: 9.5492e-04 eta: 15:27:53 time: 0.4976 data_time: 0.0205 memory: 17006 grad_norm: 10.7325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4380 loss: 1.4380 2022/07/30 03:07:43 - mmengine - INFO - Epoch(train) [145][1900/3757] lr: 9.5492e-04 eta: 15:27:44 time: 0.4063 data_time: 0.0218 memory: 17006 grad_norm: 10.7393 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4037 loss: 1.4037 2022/07/30 03:07:51 - mmengine - INFO - Epoch(train) [145][1920/3757] lr: 9.5492e-04 eta: 15:27:36 time: 0.4043 data_time: 0.0189 memory: 17006 grad_norm: 10.8402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4701 loss: 1.4701 2022/07/30 03:08:00 - mmengine - INFO - Epoch(train) [145][1940/3757] lr: 9.5492e-04 eta: 15:27:28 time: 0.4298 data_time: 0.0221 memory: 17006 grad_norm: 11.1158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3101 loss: 1.3101 2022/07/30 03:08:08 - mmengine - INFO - Epoch(train) [145][1960/3757] lr: 9.5492e-04 eta: 15:27:19 time: 0.4080 data_time: 0.0201 memory: 17006 grad_norm: 10.8637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1909 loss: 1.1909 2022/07/30 03:08:17 - mmengine - INFO - Epoch(train) [145][1980/3757] lr: 9.5492e-04 eta: 15:27:11 time: 0.4360 data_time: 0.0245 memory: 17006 grad_norm: 10.8612 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2891 loss: 1.2891 2022/07/30 03:08:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:08:25 - mmengine - INFO - Epoch(train) [145][2000/3757] lr: 9.5492e-04 eta: 15:27:03 time: 0.4168 data_time: 0.0196 memory: 17006 grad_norm: 11.1425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5313 loss: 1.5313 2022/07/30 03:08:34 - mmengine - INFO - Epoch(train) [145][2020/3757] lr: 9.5492e-04 eta: 15:26:55 time: 0.4353 data_time: 0.0228 memory: 17006 grad_norm: 10.7860 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4156 loss: 1.4156 2022/07/30 03:08:42 - mmengine - INFO - Epoch(train) [145][2040/3757] lr: 9.5492e-04 eta: 15:26:46 time: 0.4047 data_time: 0.0191 memory: 17006 grad_norm: 10.6232 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2702 loss: 1.2702 2022/07/30 03:08:51 - mmengine - INFO - Epoch(train) [145][2060/3757] lr: 9.5492e-04 eta: 15:26:39 time: 0.4382 data_time: 0.0196 memory: 17006 grad_norm: 11.0229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3465 loss: 1.3465 2022/07/30 03:08:59 - mmengine - INFO - Epoch(train) [145][2080/3757] lr: 9.5492e-04 eta: 15:26:30 time: 0.4262 data_time: 0.0305 memory: 17006 grad_norm: 11.6095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5207 loss: 1.5207 2022/07/30 03:09:07 - mmengine - INFO - Epoch(train) [145][2100/3757] lr: 9.5492e-04 eta: 15:26:22 time: 0.4048 data_time: 0.0216 memory: 17006 grad_norm: 10.6178 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2434 loss: 1.2434 2022/07/30 03:09:16 - mmengine - INFO - Epoch(train) [145][2120/3757] lr: 9.5492e-04 eta: 15:26:13 time: 0.4205 data_time: 0.0208 memory: 17006 grad_norm: 11.1454 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3078 loss: 1.3078 2022/07/30 03:09:24 - mmengine - INFO - Epoch(train) [145][2140/3757] lr: 9.5492e-04 eta: 15:26:05 time: 0.4193 data_time: 0.0205 memory: 17006 grad_norm: 11.0233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3957 loss: 1.3957 2022/07/30 03:09:32 - mmengine - INFO - Epoch(train) [145][2160/3757] lr: 9.5492e-04 eta: 15:25:57 time: 0.4072 data_time: 0.0183 memory: 17006 grad_norm: 10.3750 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5795 loss: 1.5795 2022/07/30 03:09:41 - mmengine - INFO - Epoch(train) [145][2180/3757] lr: 9.5492e-04 eta: 15:25:49 time: 0.4402 data_time: 0.0228 memory: 17006 grad_norm: 10.6088 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1855 loss: 1.1855 2022/07/30 03:09:50 - mmengine - INFO - Epoch(train) [145][2200/3757] lr: 9.5492e-04 eta: 15:25:41 time: 0.4213 data_time: 0.0192 memory: 17006 grad_norm: 10.8597 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4450 loss: 1.4450 2022/07/30 03:09:58 - mmengine - INFO - Epoch(train) [145][2220/3757] lr: 9.5492e-04 eta: 15:25:32 time: 0.4177 data_time: 0.0223 memory: 17006 grad_norm: 10.8174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5177 loss: 1.5177 2022/07/30 03:10:06 - mmengine - INFO - Epoch(train) [145][2240/3757] lr: 9.5492e-04 eta: 15:25:24 time: 0.4055 data_time: 0.0199 memory: 17006 grad_norm: 10.9295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3348 loss: 1.3348 2022/07/30 03:10:15 - mmengine - INFO - Epoch(train) [145][2260/3757] lr: 9.5492e-04 eta: 15:25:16 time: 0.4425 data_time: 0.0227 memory: 17006 grad_norm: 10.9728 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4123 loss: 1.4123 2022/07/30 03:10:23 - mmengine - INFO - Epoch(train) [145][2280/3757] lr: 9.5492e-04 eta: 15:25:07 time: 0.4047 data_time: 0.0213 memory: 17006 grad_norm: 11.4050 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3546 loss: 1.3546 2022/07/30 03:10:31 - mmengine - INFO - Epoch(train) [145][2300/3757] lr: 9.5492e-04 eta: 15:24:58 time: 0.4057 data_time: 0.0211 memory: 17006 grad_norm: 11.0599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9865 loss: 0.9865 2022/07/30 03:10:40 - mmengine - INFO - Epoch(train) [145][2320/3757] lr: 9.5492e-04 eta: 15:24:50 time: 0.4105 data_time: 0.0210 memory: 17006 grad_norm: 10.9366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3193 loss: 1.3193 2022/07/30 03:10:48 - mmengine - INFO - Epoch(train) [145][2340/3757] lr: 9.5492e-04 eta: 15:24:42 time: 0.4145 data_time: 0.0234 memory: 17006 grad_norm: 10.8345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3010 loss: 1.3010 2022/07/30 03:10:56 - mmengine - INFO - Epoch(train) [145][2360/3757] lr: 9.5492e-04 eta: 15:24:33 time: 0.4088 data_time: 0.0187 memory: 17006 grad_norm: 10.8641 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3581 loss: 1.3581 2022/07/30 03:11:04 - mmengine - INFO - Epoch(train) [145][2380/3757] lr: 9.5492e-04 eta: 15:24:25 time: 0.4179 data_time: 0.0244 memory: 17006 grad_norm: 11.0348 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2560 loss: 1.2560 2022/07/30 03:11:13 - mmengine - INFO - Epoch(train) [145][2400/3757] lr: 9.5492e-04 eta: 15:24:16 time: 0.4052 data_time: 0.0208 memory: 17006 grad_norm: 10.4498 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2859 loss: 1.2859 2022/07/30 03:11:21 - mmengine - INFO - Epoch(train) [145][2420/3757] lr: 9.5492e-04 eta: 15:24:07 time: 0.4054 data_time: 0.0205 memory: 17006 grad_norm: 10.4974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1889 loss: 1.1889 2022/07/30 03:11:29 - mmengine - INFO - Epoch(train) [145][2440/3757] lr: 9.5492e-04 eta: 15:23:59 time: 0.4308 data_time: 0.0234 memory: 17006 grad_norm: 11.4943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2552 loss: 1.2552 2022/07/30 03:11:38 - mmengine - INFO - Epoch(train) [145][2460/3757] lr: 9.5492e-04 eta: 15:23:51 time: 0.4256 data_time: 0.0214 memory: 17006 grad_norm: 10.9626 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.5218 loss: 1.5218 2022/07/30 03:11:46 - mmengine - INFO - Epoch(train) [145][2480/3757] lr: 9.5492e-04 eta: 15:23:43 time: 0.4270 data_time: 0.0227 memory: 17006 grad_norm: 10.6583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4599 loss: 1.4599 2022/07/30 03:11:55 - mmengine - INFO - Epoch(train) [145][2500/3757] lr: 9.5492e-04 eta: 15:23:34 time: 0.4056 data_time: 0.0209 memory: 17006 grad_norm: 10.5336 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1487 loss: 1.1487 2022/07/30 03:12:03 - mmengine - INFO - Epoch(train) [145][2520/3757] lr: 9.5492e-04 eta: 15:23:26 time: 0.4043 data_time: 0.0195 memory: 17006 grad_norm: 10.7699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5377 loss: 1.5377 2022/07/30 03:12:11 - mmengine - INFO - Epoch(train) [145][2540/3757] lr: 9.5492e-04 eta: 15:23:17 time: 0.4136 data_time: 0.0256 memory: 17006 grad_norm: 10.9761 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3989 loss: 1.3989 2022/07/30 03:12:20 - mmengine - INFO - Epoch(train) [145][2560/3757] lr: 9.5492e-04 eta: 15:23:09 time: 0.4223 data_time: 0.0211 memory: 17006 grad_norm: 10.7363 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3068 loss: 1.3068 2022/07/30 03:12:28 - mmengine - INFO - Epoch(train) [145][2580/3757] lr: 9.5492e-04 eta: 15:23:01 time: 0.4354 data_time: 0.0238 memory: 17006 grad_norm: 10.4807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0674 loss: 1.0674 2022/07/30 03:12:36 - mmengine - INFO - Epoch(train) [145][2600/3757] lr: 9.5492e-04 eta: 15:22:53 time: 0.4040 data_time: 0.0191 memory: 17006 grad_norm: 10.9136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4389 loss: 1.4389 2022/07/30 03:12:45 - mmengine - INFO - Epoch(train) [145][2620/3757] lr: 9.5492e-04 eta: 15:22:44 time: 0.4284 data_time: 0.0242 memory: 17006 grad_norm: 10.4697 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4258 loss: 1.4258 2022/07/30 03:12:53 - mmengine - INFO - Epoch(train) [145][2640/3757] lr: 9.5492e-04 eta: 15:22:36 time: 0.4045 data_time: 0.0197 memory: 17006 grad_norm: 10.5407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/07/30 03:13:01 - mmengine - INFO - Epoch(train) [145][2660/3757] lr: 9.5492e-04 eta: 15:22:27 time: 0.4064 data_time: 0.0216 memory: 17006 grad_norm: 10.8622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2620 loss: 1.2620 2022/07/30 03:13:10 - mmengine - INFO - Epoch(train) [145][2680/3757] lr: 9.5492e-04 eta: 15:22:19 time: 0.4180 data_time: 0.0206 memory: 17006 grad_norm: 10.5917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4322 loss: 1.4322 2022/07/30 03:13:18 - mmengine - INFO - Epoch(train) [145][2700/3757] lr: 9.5492e-04 eta: 15:22:11 time: 0.4415 data_time: 0.0221 memory: 17006 grad_norm: 10.5856 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4953 loss: 1.4953 2022/07/30 03:13:27 - mmengine - INFO - Epoch(train) [145][2720/3757] lr: 9.5492e-04 eta: 15:22:03 time: 0.4157 data_time: 0.0222 memory: 17006 grad_norm: 10.7248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1456 loss: 1.1456 2022/07/30 03:13:35 - mmengine - INFO - Epoch(train) [145][2740/3757] lr: 9.5492e-04 eta: 15:21:54 time: 0.4080 data_time: 0.0207 memory: 17006 grad_norm: 10.2648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3367 loss: 1.3367 2022/07/30 03:13:43 - mmengine - INFO - Epoch(train) [145][2760/3757] lr: 9.5492e-04 eta: 15:21:45 time: 0.4045 data_time: 0.0197 memory: 17006 grad_norm: 10.7280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3467 loss: 1.3467 2022/07/30 03:13:51 - mmengine - INFO - Epoch(train) [145][2780/3757] lr: 9.5492e-04 eta: 15:21:37 time: 0.4170 data_time: 0.0221 memory: 17006 grad_norm: 10.7175 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4959 loss: 1.4959 2022/07/30 03:14:00 - mmengine - INFO - Epoch(train) [145][2800/3757] lr: 9.5492e-04 eta: 15:21:29 time: 0.4089 data_time: 0.0185 memory: 17006 grad_norm: 10.7737 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5296 loss: 1.5296 2022/07/30 03:14:08 - mmengine - INFO - Epoch(train) [145][2820/3757] lr: 9.5492e-04 eta: 15:21:21 time: 0.4385 data_time: 0.0266 memory: 17006 grad_norm: 11.0413 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7493 loss: 1.7493 2022/07/30 03:14:17 - mmengine - INFO - Epoch(train) [145][2840/3757] lr: 9.5492e-04 eta: 15:21:12 time: 0.4065 data_time: 0.0197 memory: 17006 grad_norm: 10.9873 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4837 loss: 1.4837 2022/07/30 03:14:25 - mmengine - INFO - Epoch(train) [145][2860/3757] lr: 9.5492e-04 eta: 15:21:04 time: 0.4156 data_time: 0.0245 memory: 17006 grad_norm: 10.8228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3926 loss: 1.3926 2022/07/30 03:14:33 - mmengine - INFO - Epoch(train) [145][2880/3757] lr: 9.5492e-04 eta: 15:20:55 time: 0.4045 data_time: 0.0194 memory: 17006 grad_norm: 11.0855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5073 loss: 1.5073 2022/07/30 03:14:42 - mmengine - INFO - Epoch(train) [145][2900/3757] lr: 9.5492e-04 eta: 15:20:48 time: 0.4543 data_time: 0.0225 memory: 17006 grad_norm: 11.2635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4809 loss: 1.4809 2022/07/30 03:14:50 - mmengine - INFO - Epoch(train) [145][2920/3757] lr: 9.5492e-04 eta: 15:20:39 time: 0.4049 data_time: 0.0189 memory: 17006 grad_norm: 11.4507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5548 loss: 1.5548 2022/07/30 03:14:59 - mmengine - INFO - Epoch(train) [145][2940/3757] lr: 9.5492e-04 eta: 15:20:31 time: 0.4177 data_time: 0.0223 memory: 17006 grad_norm: 11.4227 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5302 loss: 1.5302 2022/07/30 03:15:07 - mmengine - INFO - Epoch(train) [145][2960/3757] lr: 9.5492e-04 eta: 15:20:22 time: 0.4057 data_time: 0.0186 memory: 17006 grad_norm: 11.1052 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.3659 loss: 1.3659 2022/07/30 03:15:15 - mmengine - INFO - Epoch(train) [145][2980/3757] lr: 9.5492e-04 eta: 15:20:14 time: 0.4171 data_time: 0.0238 memory: 17006 grad_norm: 11.2682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2325 loss: 1.2325 2022/07/30 03:15:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:15:23 - mmengine - INFO - Epoch(train) [145][3000/3757] lr: 9.5492e-04 eta: 15:20:05 time: 0.4054 data_time: 0.0187 memory: 17006 grad_norm: 11.0071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/07/30 03:15:32 - mmengine - INFO - Epoch(train) [145][3020/3757] lr: 9.5492e-04 eta: 15:19:57 time: 0.4416 data_time: 0.0225 memory: 17006 grad_norm: 10.9389 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2882 loss: 1.2882 2022/07/30 03:15:41 - mmengine - INFO - Epoch(train) [145][3040/3757] lr: 9.5492e-04 eta: 15:19:49 time: 0.4261 data_time: 0.0204 memory: 17006 grad_norm: 10.8336 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3921 loss: 1.3921 2022/07/30 03:15:49 - mmengine - INFO - Epoch(train) [145][3060/3757] lr: 9.5492e-04 eta: 15:19:40 time: 0.4058 data_time: 0.0214 memory: 17006 grad_norm: 11.0910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5269 loss: 1.5269 2022/07/30 03:15:58 - mmengine - INFO - Epoch(train) [145][3080/3757] lr: 9.5492e-04 eta: 15:19:33 time: 0.4485 data_time: 0.0210 memory: 17006 grad_norm: 10.8967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5133 loss: 1.5133 2022/07/30 03:16:06 - mmengine - INFO - Epoch(train) [145][3100/3757] lr: 9.5492e-04 eta: 15:19:24 time: 0.4081 data_time: 0.0219 memory: 17006 grad_norm: 11.1984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4234 loss: 1.4234 2022/07/30 03:16:14 - mmengine - INFO - Epoch(train) [145][3120/3757] lr: 9.5492e-04 eta: 15:19:16 time: 0.4148 data_time: 0.0221 memory: 17006 grad_norm: 10.7098 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4266 loss: 1.4266 2022/07/30 03:16:23 - mmengine - INFO - Epoch(train) [145][3140/3757] lr: 9.5492e-04 eta: 15:19:07 time: 0.4066 data_time: 0.0220 memory: 17006 grad_norm: 10.5048 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3246 loss: 1.3246 2022/07/30 03:16:31 - mmengine - INFO - Epoch(train) [145][3160/3757] lr: 9.5492e-04 eta: 15:18:59 time: 0.4052 data_time: 0.0204 memory: 17006 grad_norm: 10.8716 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2505 loss: 1.2505 2022/07/30 03:16:41 - mmengine - INFO - Epoch(train) [145][3180/3757] lr: 9.5492e-04 eta: 15:18:53 time: 0.5321 data_time: 0.0314 memory: 17006 grad_norm: 10.9409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4548 loss: 1.4548 2022/07/30 03:16:49 - mmengine - INFO - Epoch(train) [145][3200/3757] lr: 9.5492e-04 eta: 15:18:44 time: 0.4051 data_time: 0.0209 memory: 17006 grad_norm: 10.9459 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4708 loss: 1.4708 2022/07/30 03:16:58 - mmengine - INFO - Epoch(train) [145][3220/3757] lr: 9.5492e-04 eta: 15:18:36 time: 0.4131 data_time: 0.0197 memory: 17006 grad_norm: 11.1644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1628 loss: 1.1628 2022/07/30 03:17:06 - mmengine - INFO - Epoch(train) [145][3240/3757] lr: 9.5492e-04 eta: 15:18:27 time: 0.4086 data_time: 0.0226 memory: 17006 grad_norm: 11.0010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4526 loss: 1.4526 2022/07/30 03:17:14 - mmengine - INFO - Epoch(train) [145][3260/3757] lr: 9.5492e-04 eta: 15:18:19 time: 0.4182 data_time: 0.0200 memory: 17006 grad_norm: 11.1595 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4080 loss: 1.4080 2022/07/30 03:17:22 - mmengine - INFO - Epoch(train) [145][3280/3757] lr: 9.5492e-04 eta: 15:18:10 time: 0.4070 data_time: 0.0221 memory: 17006 grad_norm: 10.7001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3276 loss: 1.3276 2022/07/30 03:17:31 - mmengine - INFO - Epoch(train) [145][3300/3757] lr: 9.5492e-04 eta: 15:18:02 time: 0.4107 data_time: 0.0199 memory: 17006 grad_norm: 10.3898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3470 loss: 1.3470 2022/07/30 03:17:39 - mmengine - INFO - Epoch(train) [145][3320/3757] lr: 9.5492e-04 eta: 15:17:53 time: 0.4082 data_time: 0.0218 memory: 17006 grad_norm: 10.3650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3117 loss: 1.3117 2022/07/30 03:17:47 - mmengine - INFO - Epoch(train) [145][3340/3757] lr: 9.5492e-04 eta: 15:17:45 time: 0.4150 data_time: 0.0200 memory: 17006 grad_norm: 10.8472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3328 loss: 1.3328 2022/07/30 03:17:55 - mmengine - INFO - Epoch(train) [145][3360/3757] lr: 9.5492e-04 eta: 15:17:36 time: 0.4063 data_time: 0.0213 memory: 17006 grad_norm: 10.4578 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4641 loss: 1.4641 2022/07/30 03:18:04 - mmengine - INFO - Epoch(train) [145][3380/3757] lr: 9.5492e-04 eta: 15:17:28 time: 0.4053 data_time: 0.0187 memory: 17006 grad_norm: 10.6749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6085 loss: 1.6085 2022/07/30 03:18:12 - mmengine - INFO - Epoch(train) [145][3400/3757] lr: 9.5492e-04 eta: 15:17:19 time: 0.4168 data_time: 0.0287 memory: 17006 grad_norm: 11.3746 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1935 loss: 1.1935 2022/07/30 03:18:20 - mmengine - INFO - Epoch(train) [145][3420/3757] lr: 9.5492e-04 eta: 15:17:11 time: 0.4059 data_time: 0.0193 memory: 17006 grad_norm: 11.3742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2540 loss: 1.2540 2022/07/30 03:18:28 - mmengine - INFO - Epoch(train) [145][3440/3757] lr: 9.5492e-04 eta: 15:17:02 time: 0.4204 data_time: 0.0250 memory: 17006 grad_norm: 11.1008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4971 loss: 1.4971 2022/07/30 03:18:37 - mmengine - INFO - Epoch(train) [145][3460/3757] lr: 9.5492e-04 eta: 15:16:54 time: 0.4213 data_time: 0.0186 memory: 17006 grad_norm: 10.8587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3965 loss: 1.3965 2022/07/30 03:18:45 - mmengine - INFO - Epoch(train) [145][3480/3757] lr: 9.5492e-04 eta: 15:16:46 time: 0.4206 data_time: 0.0238 memory: 17006 grad_norm: 10.7807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2674 loss: 1.2674 2022/07/30 03:18:53 - mmengine - INFO - Epoch(train) [145][3500/3757] lr: 9.5492e-04 eta: 15:16:37 time: 0.4040 data_time: 0.0200 memory: 17006 grad_norm: 10.5021 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3451 loss: 1.3451 2022/07/30 03:19:02 - mmengine - INFO - Epoch(train) [145][3520/3757] lr: 9.5492e-04 eta: 15:16:29 time: 0.4053 data_time: 0.0217 memory: 17006 grad_norm: 10.6461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2074 loss: 1.2074 2022/07/30 03:19:10 - mmengine - INFO - Epoch(train) [145][3540/3757] lr: 9.5492e-04 eta: 15:16:20 time: 0.4128 data_time: 0.0197 memory: 17006 grad_norm: 11.0039 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3396 loss: 1.3396 2022/07/30 03:19:18 - mmengine - INFO - Epoch(train) [145][3560/3757] lr: 9.5492e-04 eta: 15:16:12 time: 0.4139 data_time: 0.0215 memory: 17006 grad_norm: 11.0308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1421 loss: 1.1421 2022/07/30 03:19:26 - mmengine - INFO - Epoch(train) [145][3580/3757] lr: 9.5492e-04 eta: 15:16:03 time: 0.4125 data_time: 0.0200 memory: 17006 grad_norm: 10.8457 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4436 loss: 1.4436 2022/07/30 03:19:35 - mmengine - INFO - Epoch(train) [145][3600/3757] lr: 9.5492e-04 eta: 15:15:55 time: 0.4155 data_time: 0.0216 memory: 17006 grad_norm: 10.6491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1105 loss: 1.1105 2022/07/30 03:19:43 - mmengine - INFO - Epoch(train) [145][3620/3757] lr: 9.5492e-04 eta: 15:15:46 time: 0.4079 data_time: 0.0221 memory: 17006 grad_norm: 10.7967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1694 loss: 1.1694 2022/07/30 03:19:51 - mmengine - INFO - Epoch(train) [145][3640/3757] lr: 9.5492e-04 eta: 15:15:38 time: 0.4062 data_time: 0.0207 memory: 17006 grad_norm: 10.7728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3839 loss: 1.3839 2022/07/30 03:20:00 - mmengine - INFO - Epoch(train) [145][3660/3757] lr: 9.5492e-04 eta: 15:15:29 time: 0.4198 data_time: 0.0210 memory: 17006 grad_norm: 10.9066 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5223 loss: 1.5223 2022/07/30 03:20:08 - mmengine - INFO - Epoch(train) [145][3680/3757] lr: 9.5492e-04 eta: 15:15:21 time: 0.4081 data_time: 0.0217 memory: 17006 grad_norm: 11.1288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5685 loss: 1.5685 2022/07/30 03:20:17 - mmengine - INFO - Epoch(train) [145][3700/3757] lr: 9.5492e-04 eta: 15:15:13 time: 0.4445 data_time: 0.0250 memory: 17006 grad_norm: 10.9607 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4027 loss: 1.4027 2022/07/30 03:20:25 - mmengine - INFO - Epoch(train) [145][3720/3757] lr: 9.5492e-04 eta: 15:15:04 time: 0.4062 data_time: 0.0211 memory: 17006 grad_norm: 10.9217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1692 loss: 1.1692 2022/07/30 03:20:33 - mmengine - INFO - Epoch(train) [145][3740/3757] lr: 9.5492e-04 eta: 15:14:56 time: 0.4038 data_time: 0.0185 memory: 17006 grad_norm: 11.1636 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6581 loss: 1.6581 2022/07/30 03:20:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:20:40 - mmengine - INFO - Epoch(train) [145][3757/3757] lr: 9.5492e-04 eta: 15:14:56 time: 0.4108 data_time: 0.0216 memory: 17006 grad_norm: 10.8207 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4667 loss: 1.4667 2022/07/30 03:20:40 - mmengine - INFO - Saving checkpoint at 145 epochs 2022/07/30 03:20:53 - mmengine - INFO - Epoch(train) [146][20/3757] lr: 9.0424e-04 eta: 15:14:33 time: 0.4578 data_time: 0.0717 memory: 17006 grad_norm: 10.6585 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1717 loss: 1.1717 2022/07/30 03:21:02 - mmengine - INFO - Epoch(train) [146][40/3757] lr: 9.0424e-04 eta: 15:14:25 time: 0.4346 data_time: 0.0230 memory: 17006 grad_norm: 11.1552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4687 loss: 1.4687 2022/07/30 03:21:10 - mmengine - INFO - Epoch(train) [146][60/3757] lr: 9.0424e-04 eta: 15:14:16 time: 0.4069 data_time: 0.0216 memory: 17006 grad_norm: 10.8174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2733 loss: 1.2733 2022/07/30 03:21:19 - mmengine - INFO - Epoch(train) [146][80/3757] lr: 9.0424e-04 eta: 15:14:08 time: 0.4420 data_time: 0.0228 memory: 17006 grad_norm: 10.4960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3385 loss: 1.3385 2022/07/30 03:21:27 - mmengine - INFO - Epoch(train) [146][100/3757] lr: 9.0424e-04 eta: 15:14:00 time: 0.4056 data_time: 0.0204 memory: 17006 grad_norm: 10.6749 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5381 loss: 1.5381 2022/07/30 03:21:36 - mmengine - INFO - Epoch(train) [146][120/3757] lr: 9.0424e-04 eta: 15:13:51 time: 0.4192 data_time: 0.0237 memory: 17006 grad_norm: 11.7489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5448 loss: 1.5448 2022/07/30 03:21:44 - mmengine - INFO - Epoch(train) [146][140/3757] lr: 9.0424e-04 eta: 15:13:43 time: 0.4047 data_time: 0.0208 memory: 17006 grad_norm: 10.5948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3756 loss: 1.3756 2022/07/30 03:21:52 - mmengine - INFO - Epoch(train) [146][160/3757] lr: 9.0424e-04 eta: 15:13:34 time: 0.4104 data_time: 0.0206 memory: 17006 grad_norm: 11.6438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5047 loss: 1.5047 2022/07/30 03:22:00 - mmengine - INFO - Epoch(train) [146][180/3757] lr: 9.0424e-04 eta: 15:13:26 time: 0.4133 data_time: 0.0219 memory: 17006 grad_norm: 11.2281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2432 loss: 1.2432 2022/07/30 03:22:08 - mmengine - INFO - Epoch(train) [146][200/3757] lr: 9.0424e-04 eta: 15:13:17 time: 0.4074 data_time: 0.0206 memory: 17006 grad_norm: 10.3785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3282 loss: 1.3282 2022/07/30 03:22:17 - mmengine - INFO - Epoch(train) [146][220/3757] lr: 9.0424e-04 eta: 15:13:09 time: 0.4131 data_time: 0.0230 memory: 17006 grad_norm: 10.1585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9284 loss: 0.9284 2022/07/30 03:22:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:22:26 - mmengine - INFO - Epoch(train) [146][240/3757] lr: 9.0424e-04 eta: 15:13:01 time: 0.4403 data_time: 0.0216 memory: 17006 grad_norm: 10.4209 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1362 loss: 1.1362 2022/07/30 03:22:34 - mmengine - INFO - Epoch(train) [146][260/3757] lr: 9.0424e-04 eta: 15:12:52 time: 0.4050 data_time: 0.0204 memory: 17006 grad_norm: 10.5677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1248 loss: 1.1248 2022/07/30 03:22:42 - mmengine - INFO - Epoch(train) [146][280/3757] lr: 9.0424e-04 eta: 15:12:44 time: 0.4142 data_time: 0.0223 memory: 17006 grad_norm: 10.9478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3664 loss: 1.3664 2022/07/30 03:22:51 - mmengine - INFO - Epoch(train) [146][300/3757] lr: 9.0424e-04 eta: 15:12:36 time: 0.4426 data_time: 0.0216 memory: 17006 grad_norm: 10.7679 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3630 loss: 1.3630 2022/07/30 03:22:59 - mmengine - INFO - Epoch(train) [146][320/3757] lr: 9.0424e-04 eta: 15:12:28 time: 0.4137 data_time: 0.0221 memory: 17006 grad_norm: 10.3993 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1046 loss: 1.1046 2022/07/30 03:23:08 - mmengine - INFO - Epoch(train) [146][340/3757] lr: 9.0424e-04 eta: 15:12:20 time: 0.4210 data_time: 0.0203 memory: 17006 grad_norm: 11.2031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1219 loss: 1.1219 2022/07/30 03:23:16 - mmengine - INFO - Epoch(train) [146][360/3757] lr: 9.0424e-04 eta: 15:12:11 time: 0.4115 data_time: 0.0211 memory: 17006 grad_norm: 10.8307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4178 loss: 1.4178 2022/07/30 03:23:24 - mmengine - INFO - Epoch(train) [146][380/3757] lr: 9.0424e-04 eta: 15:12:02 time: 0.4059 data_time: 0.0210 memory: 17006 grad_norm: 11.1769 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/07/30 03:23:32 - mmengine - INFO - Epoch(train) [146][400/3757] lr: 9.0424e-04 eta: 15:11:54 time: 0.4078 data_time: 0.0212 memory: 17006 grad_norm: 10.5770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/07/30 03:23:41 - mmengine - INFO - Epoch(train) [146][420/3757] lr: 9.0424e-04 eta: 15:11:45 time: 0.4178 data_time: 0.0221 memory: 17006 grad_norm: 11.4330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6640 loss: 1.6640 2022/07/30 03:23:49 - mmengine - INFO - Epoch(train) [146][440/3757] lr: 9.0424e-04 eta: 15:11:37 time: 0.4241 data_time: 0.0232 memory: 17006 grad_norm: 10.6729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2329 loss: 1.2329 2022/07/30 03:23:57 - mmengine - INFO - Epoch(train) [146][460/3757] lr: 9.0424e-04 eta: 15:11:29 time: 0.4067 data_time: 0.0210 memory: 17006 grad_norm: 10.7767 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3175 loss: 1.3175 2022/07/30 03:24:06 - mmengine - INFO - Epoch(train) [146][480/3757] lr: 9.0424e-04 eta: 15:11:21 time: 0.4468 data_time: 0.0226 memory: 17006 grad_norm: 10.7160 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4393 loss: 1.4393 2022/07/30 03:24:14 - mmengine - INFO - Epoch(train) [146][500/3757] lr: 9.0424e-04 eta: 15:11:12 time: 0.4057 data_time: 0.0206 memory: 17006 grad_norm: 11.4333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3339 loss: 1.3339 2022/07/30 03:24:23 - mmengine - INFO - Epoch(train) [146][520/3757] lr: 9.0424e-04 eta: 15:11:04 time: 0.4065 data_time: 0.0201 memory: 17006 grad_norm: 10.6040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2445 loss: 1.2445 2022/07/30 03:24:31 - mmengine - INFO - Epoch(train) [146][540/3757] lr: 9.0424e-04 eta: 15:10:56 time: 0.4274 data_time: 0.0226 memory: 17006 grad_norm: 11.0337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3754 loss: 1.3754 2022/07/30 03:24:39 - mmengine - INFO - Epoch(train) [146][560/3757] lr: 9.0424e-04 eta: 15:10:47 time: 0.4063 data_time: 0.0214 memory: 17006 grad_norm: 10.5693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2940 loss: 1.2940 2022/07/30 03:24:48 - mmengine - INFO - Epoch(train) [146][580/3757] lr: 9.0424e-04 eta: 15:10:39 time: 0.4390 data_time: 0.0225 memory: 17006 grad_norm: 10.9162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4010 loss: 1.4010 2022/07/30 03:24:56 - mmengine - INFO - Epoch(train) [146][600/3757] lr: 9.0424e-04 eta: 15:10:31 time: 0.4074 data_time: 0.0204 memory: 17006 grad_norm: 10.7154 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0458 loss: 1.0458 2022/07/30 03:25:04 - mmengine - INFO - Epoch(train) [146][620/3757] lr: 9.0424e-04 eta: 15:10:22 time: 0.4110 data_time: 0.0206 memory: 17006 grad_norm: 11.0876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2300 loss: 1.2300 2022/07/30 03:25:13 - mmengine - INFO - Epoch(train) [146][640/3757] lr: 9.0424e-04 eta: 15:10:14 time: 0.4254 data_time: 0.0201 memory: 17006 grad_norm: 10.9193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3761 loss: 1.3761 2022/07/30 03:25:21 - mmengine - INFO - Epoch(train) [146][660/3757] lr: 9.0424e-04 eta: 15:10:05 time: 0.4068 data_time: 0.0210 memory: 17006 grad_norm: 10.9204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1759 loss: 1.1759 2022/07/30 03:25:30 - mmengine - INFO - Epoch(train) [146][680/3757] lr: 9.0424e-04 eta: 15:09:57 time: 0.4226 data_time: 0.0227 memory: 17006 grad_norm: 11.4903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5011 loss: 1.5011 2022/07/30 03:25:38 - mmengine - INFO - Epoch(train) [146][700/3757] lr: 9.0424e-04 eta: 15:09:49 time: 0.4115 data_time: 0.0259 memory: 17006 grad_norm: 10.6779 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1604 loss: 1.1604 2022/07/30 03:25:46 - mmengine - INFO - Epoch(train) [146][720/3757] lr: 9.0424e-04 eta: 15:09:40 time: 0.4052 data_time: 0.0195 memory: 17006 grad_norm: 11.6858 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4465 loss: 1.4465 2022/07/30 03:25:54 - mmengine - INFO - Epoch(train) [146][740/3757] lr: 9.0424e-04 eta: 15:09:31 time: 0.4065 data_time: 0.0227 memory: 17006 grad_norm: 10.7865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1635 loss: 1.1635 2022/07/30 03:26:03 - mmengine - INFO - Epoch(train) [146][760/3757] lr: 9.0424e-04 eta: 15:09:24 time: 0.4613 data_time: 0.0219 memory: 17006 grad_norm: 10.7663 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3260 loss: 1.3260 2022/07/30 03:26:12 - mmengine - INFO - Epoch(train) [146][780/3757] lr: 9.0424e-04 eta: 15:09:16 time: 0.4055 data_time: 0.0214 memory: 17006 grad_norm: 11.1821 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3572 loss: 1.3572 2022/07/30 03:26:21 - mmengine - INFO - Epoch(train) [146][800/3757] lr: 9.0424e-04 eta: 15:09:08 time: 0.4465 data_time: 0.0229 memory: 17006 grad_norm: 11.0297 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2455 loss: 1.2455 2022/07/30 03:26:29 - mmengine - INFO - Epoch(train) [146][820/3757] lr: 9.0424e-04 eta: 15:08:59 time: 0.4056 data_time: 0.0206 memory: 17006 grad_norm: 11.5452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2633 loss: 1.2633 2022/07/30 03:26:38 - mmengine - INFO - Epoch(train) [146][840/3757] lr: 9.0424e-04 eta: 15:08:52 time: 0.4475 data_time: 0.0240 memory: 17006 grad_norm: 10.9937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3668 loss: 1.3668 2022/07/30 03:26:46 - mmengine - INFO - Epoch(train) [146][860/3757] lr: 9.0424e-04 eta: 15:08:43 time: 0.4084 data_time: 0.0207 memory: 17006 grad_norm: 11.1756 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4311 loss: 1.4311 2022/07/30 03:26:54 - mmengine - INFO - Epoch(train) [146][880/3757] lr: 9.0424e-04 eta: 15:08:34 time: 0.4051 data_time: 0.0203 memory: 17006 grad_norm: 10.6608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0998 loss: 1.0998 2022/07/30 03:27:03 - mmengine - INFO - Epoch(train) [146][900/3757] lr: 9.0424e-04 eta: 15:08:27 time: 0.4619 data_time: 0.0220 memory: 17006 grad_norm: 10.7430 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4067 loss: 1.4067 2022/07/30 03:27:11 - mmengine - INFO - Epoch(train) [146][920/3757] lr: 9.0424e-04 eta: 15:08:19 time: 0.4063 data_time: 0.0214 memory: 17006 grad_norm: 10.9737 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2790 loss: 1.2790 2022/07/30 03:27:20 - mmengine - INFO - Epoch(train) [146][940/3757] lr: 9.0424e-04 eta: 15:08:10 time: 0.4247 data_time: 0.0216 memory: 17006 grad_norm: 10.9495 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2513 loss: 1.2513 2022/07/30 03:27:28 - mmengine - INFO - Epoch(train) [146][960/3757] lr: 9.0424e-04 eta: 15:08:02 time: 0.4054 data_time: 0.0207 memory: 17006 grad_norm: 10.3744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1507 loss: 1.1507 2022/07/30 03:27:37 - mmengine - INFO - Epoch(train) [146][980/3757] lr: 9.0424e-04 eta: 15:07:54 time: 0.4616 data_time: 0.0232 memory: 17006 grad_norm: 10.4123 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/07/30 03:27:45 - mmengine - INFO - Epoch(train) [146][1000/3757] lr: 9.0424e-04 eta: 15:07:46 time: 0.4056 data_time: 0.0206 memory: 17006 grad_norm: 10.8849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2937 loss: 1.2937 2022/07/30 03:27:54 - mmengine - INFO - Epoch(train) [146][1020/3757] lr: 9.0424e-04 eta: 15:07:37 time: 0.4046 data_time: 0.0205 memory: 17006 grad_norm: 10.8294 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6451 loss: 1.6451 2022/07/30 03:28:02 - mmengine - INFO - Epoch(train) [146][1040/3757] lr: 9.0424e-04 eta: 15:07:29 time: 0.4356 data_time: 0.0214 memory: 17006 grad_norm: 11.3571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2070 loss: 1.2070 2022/07/30 03:28:10 - mmengine - INFO - Epoch(train) [146][1060/3757] lr: 9.0424e-04 eta: 15:07:21 time: 0.4067 data_time: 0.0214 memory: 17006 grad_norm: 11.3240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3170 loss: 1.3170 2022/07/30 03:28:19 - mmengine - INFO - Epoch(train) [146][1080/3757] lr: 9.0424e-04 eta: 15:07:13 time: 0.4276 data_time: 0.0229 memory: 17006 grad_norm: 11.0154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1148 loss: 1.1148 2022/07/30 03:28:27 - mmengine - INFO - Epoch(train) [146][1100/3757] lr: 9.0424e-04 eta: 15:07:04 time: 0.4052 data_time: 0.0195 memory: 17006 grad_norm: 11.1214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2689 loss: 1.2689 2022/07/30 03:28:36 - mmengine - INFO - Epoch(train) [146][1120/3757] lr: 9.0424e-04 eta: 15:06:56 time: 0.4225 data_time: 0.0223 memory: 17006 grad_norm: 10.7610 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2950 loss: 1.2950 2022/07/30 03:28:44 - mmengine - INFO - Epoch(train) [146][1140/3757] lr: 9.0424e-04 eta: 15:06:47 time: 0.4053 data_time: 0.0206 memory: 17006 grad_norm: 10.7212 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2506 loss: 1.2506 2022/07/30 03:28:52 - mmengine - INFO - Epoch(train) [146][1160/3757] lr: 9.0424e-04 eta: 15:06:38 time: 0.4035 data_time: 0.0203 memory: 17006 grad_norm: 11.3665 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5912 loss: 1.5912 2022/07/30 03:29:00 - mmengine - INFO - Epoch(train) [146][1180/3757] lr: 9.0424e-04 eta: 15:06:30 time: 0.4179 data_time: 0.0217 memory: 17006 grad_norm: 11.2845 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3580 loss: 1.3580 2022/07/30 03:29:09 - mmengine - INFO - Epoch(train) [146][1200/3757] lr: 9.0424e-04 eta: 15:06:22 time: 0.4387 data_time: 0.0215 memory: 17006 grad_norm: 11.0097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2015 loss: 1.2015 2022/07/30 03:29:18 - mmengine - INFO - Epoch(train) [146][1220/3757] lr: 9.0424e-04 eta: 15:06:15 time: 0.4484 data_time: 0.0252 memory: 17006 grad_norm: 11.1977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3767 loss: 1.3767 2022/07/30 03:29:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:29:26 - mmengine - INFO - Epoch(train) [146][1240/3757] lr: 9.0424e-04 eta: 15:06:06 time: 0.4065 data_time: 0.0213 memory: 17006 grad_norm: 10.8771 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2659 loss: 1.2659 2022/07/30 03:29:34 - mmengine - INFO - Epoch(train) [146][1260/3757] lr: 9.0424e-04 eta: 15:05:57 time: 0.4064 data_time: 0.0209 memory: 17006 grad_norm: 11.3835 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6610 loss: 1.6610 2022/07/30 03:29:43 - mmengine - INFO - Epoch(train) [146][1280/3757] lr: 9.0424e-04 eta: 15:05:49 time: 0.4137 data_time: 0.0222 memory: 17006 grad_norm: 10.7940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4088 loss: 1.4088 2022/07/30 03:29:51 - mmengine - INFO - Epoch(train) [146][1300/3757] lr: 9.0424e-04 eta: 15:05:40 time: 0.4074 data_time: 0.0217 memory: 17006 grad_norm: 10.7828 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4234 loss: 1.4234 2022/07/30 03:29:59 - mmengine - INFO - Epoch(train) [146][1320/3757] lr: 9.0424e-04 eta: 15:05:32 time: 0.4135 data_time: 0.0233 memory: 17006 grad_norm: 10.3052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4681 loss: 1.4681 2022/07/30 03:30:08 - mmengine - INFO - Epoch(train) [146][1340/3757] lr: 9.0424e-04 eta: 15:05:24 time: 0.4334 data_time: 0.0210 memory: 17006 grad_norm: 11.1743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/07/30 03:30:16 - mmengine - INFO - Epoch(train) [146][1360/3757] lr: 9.0424e-04 eta: 15:05:16 time: 0.4147 data_time: 0.0210 memory: 17006 grad_norm: 10.7104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2440 loss: 1.2440 2022/07/30 03:30:24 - mmengine - INFO - Epoch(train) [146][1380/3757] lr: 9.0424e-04 eta: 15:05:07 time: 0.4039 data_time: 0.0209 memory: 17006 grad_norm: 11.3068 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1185 loss: 1.1185 2022/07/30 03:30:32 - mmengine - INFO - Epoch(train) [146][1400/3757] lr: 9.0424e-04 eta: 15:04:58 time: 0.4036 data_time: 0.0201 memory: 17006 grad_norm: 10.9625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1448 loss: 1.1448 2022/07/30 03:30:41 - mmengine - INFO - Epoch(train) [146][1420/3757] lr: 9.0424e-04 eta: 15:04:50 time: 0.4236 data_time: 0.0224 memory: 17006 grad_norm: 11.2960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3995 loss: 1.3995 2022/07/30 03:30:49 - mmengine - INFO - Epoch(train) [146][1440/3757] lr: 9.0424e-04 eta: 15:04:41 time: 0.4050 data_time: 0.0217 memory: 17006 grad_norm: 10.4735 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3516 loss: 1.3516 2022/07/30 03:30:58 - mmengine - INFO - Epoch(train) [146][1460/3757] lr: 9.0424e-04 eta: 15:04:34 time: 0.4443 data_time: 0.0229 memory: 17006 grad_norm: 11.0596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3512 loss: 1.3512 2022/07/30 03:31:06 - mmengine - INFO - Epoch(train) [146][1480/3757] lr: 9.0424e-04 eta: 15:04:25 time: 0.4037 data_time: 0.0207 memory: 17006 grad_norm: 10.8239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2310 loss: 1.2310 2022/07/30 03:31:14 - mmengine - INFO - Epoch(train) [146][1500/3757] lr: 9.0424e-04 eta: 15:04:16 time: 0.4033 data_time: 0.0204 memory: 17006 grad_norm: 10.5077 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1451 loss: 1.1451 2022/07/30 03:31:23 - mmengine - INFO - Epoch(train) [146][1520/3757] lr: 9.0424e-04 eta: 15:04:09 time: 0.4528 data_time: 0.0220 memory: 17006 grad_norm: 10.8093 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4861 loss: 1.4861 2022/07/30 03:31:31 - mmengine - INFO - Epoch(train) [146][1540/3757] lr: 9.0424e-04 eta: 15:04:00 time: 0.4071 data_time: 0.0218 memory: 17006 grad_norm: 10.9165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5879 loss: 1.5879 2022/07/30 03:31:40 - mmengine - INFO - Epoch(train) [146][1560/3757] lr: 9.0424e-04 eta: 15:03:52 time: 0.4112 data_time: 0.0233 memory: 17006 grad_norm: 10.4391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3849 loss: 1.3849 2022/07/30 03:31:48 - mmengine - INFO - Epoch(train) [146][1580/3757] lr: 9.0424e-04 eta: 15:03:43 time: 0.4059 data_time: 0.0200 memory: 17006 grad_norm: 10.8191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1157 loss: 1.1157 2022/07/30 03:31:56 - mmengine - INFO - Epoch(train) [146][1600/3757] lr: 9.0424e-04 eta: 15:03:35 time: 0.4110 data_time: 0.0222 memory: 17006 grad_norm: 10.5980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2711 loss: 1.2711 2022/07/30 03:32:04 - mmengine - INFO - Epoch(train) [146][1620/3757] lr: 9.0424e-04 eta: 15:03:26 time: 0.4045 data_time: 0.0207 memory: 17006 grad_norm: 11.4740 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2841 loss: 1.2841 2022/07/30 03:32:12 - mmengine - INFO - Epoch(train) [146][1640/3757] lr: 9.0424e-04 eta: 15:03:17 time: 0.4055 data_time: 0.0210 memory: 17006 grad_norm: 11.3129 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3987 loss: 1.3987 2022/07/30 03:32:21 - mmengine - INFO - Epoch(train) [146][1660/3757] lr: 9.0424e-04 eta: 15:03:09 time: 0.4256 data_time: 0.0224 memory: 17006 grad_norm: 11.0893 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/07/30 03:32:29 - mmengine - INFO - Epoch(train) [146][1680/3757] lr: 9.0424e-04 eta: 15:03:01 time: 0.4077 data_time: 0.0211 memory: 17006 grad_norm: 10.8980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4640 loss: 1.4640 2022/07/30 03:32:38 - mmengine - INFO - Epoch(train) [146][1700/3757] lr: 9.0424e-04 eta: 15:02:52 time: 0.4277 data_time: 0.0234 memory: 17006 grad_norm: 10.8728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3025 loss: 1.3025 2022/07/30 03:32:46 - mmengine - INFO - Epoch(train) [146][1720/3757] lr: 9.0424e-04 eta: 15:02:44 time: 0.4087 data_time: 0.0207 memory: 17006 grad_norm: 10.3885 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1387 loss: 1.1387 2022/07/30 03:32:54 - mmengine - INFO - Epoch(train) [146][1740/3757] lr: 9.0424e-04 eta: 15:02:35 time: 0.4067 data_time: 0.0206 memory: 17006 grad_norm: 10.8005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4265 loss: 1.4265 2022/07/30 03:33:03 - mmengine - INFO - Epoch(train) [146][1760/3757] lr: 9.0424e-04 eta: 15:02:27 time: 0.4304 data_time: 0.0239 memory: 17006 grad_norm: 11.1968 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1555 loss: 1.1555 2022/07/30 03:33:11 - mmengine - INFO - Epoch(train) [146][1780/3757] lr: 9.0424e-04 eta: 15:02:19 time: 0.4064 data_time: 0.0215 memory: 17006 grad_norm: 11.5037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4332 loss: 1.4332 2022/07/30 03:33:19 - mmengine - INFO - Epoch(train) [146][1800/3757] lr: 9.0424e-04 eta: 15:02:10 time: 0.4215 data_time: 0.0225 memory: 17006 grad_norm: 11.5007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4377 loss: 1.4377 2022/07/30 03:33:27 - mmengine - INFO - Epoch(train) [146][1820/3757] lr: 9.0424e-04 eta: 15:02:02 time: 0.4088 data_time: 0.0211 memory: 17006 grad_norm: 11.3240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2325 loss: 1.2325 2022/07/30 03:33:36 - mmengine - INFO - Epoch(train) [146][1840/3757] lr: 9.0424e-04 eta: 15:01:54 time: 0.4219 data_time: 0.0208 memory: 17006 grad_norm: 11.5891 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3080 loss: 1.3080 2022/07/30 03:33:44 - mmengine - INFO - Epoch(train) [146][1860/3757] lr: 9.0424e-04 eta: 15:01:45 time: 0.4059 data_time: 0.0208 memory: 17006 grad_norm: 11.1809 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4152 loss: 1.4152 2022/07/30 03:33:52 - mmengine - INFO - Epoch(train) [146][1880/3757] lr: 9.0424e-04 eta: 15:01:36 time: 0.4041 data_time: 0.0196 memory: 17006 grad_norm: 11.6880 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3735 loss: 1.3735 2022/07/30 03:34:01 - mmengine - INFO - Epoch(train) [146][1900/3757] lr: 9.0424e-04 eta: 15:01:28 time: 0.4355 data_time: 0.0195 memory: 17006 grad_norm: 11.3627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3408 loss: 1.3408 2022/07/30 03:34:09 - mmengine - INFO - Epoch(train) [146][1920/3757] lr: 9.0424e-04 eta: 15:01:20 time: 0.4061 data_time: 0.0208 memory: 17006 grad_norm: 10.8946 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1667 loss: 1.1667 2022/07/30 03:34:18 - mmengine - INFO - Epoch(train) [146][1940/3757] lr: 9.0424e-04 eta: 15:01:12 time: 0.4589 data_time: 0.0233 memory: 17006 grad_norm: 11.1861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2079 loss: 1.2079 2022/07/30 03:34:26 - mmengine - INFO - Epoch(train) [146][1960/3757] lr: 9.0424e-04 eta: 15:01:04 time: 0.4058 data_time: 0.0219 memory: 17006 grad_norm: 10.9423 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1361 loss: 1.1361 2022/07/30 03:34:34 - mmengine - INFO - Epoch(train) [146][1980/3757] lr: 9.0424e-04 eta: 15:00:55 time: 0.4050 data_time: 0.0204 memory: 17006 grad_norm: 11.5399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3805 loss: 1.3805 2022/07/30 03:34:44 - mmengine - INFO - Epoch(train) [146][2000/3757] lr: 9.0424e-04 eta: 15:00:48 time: 0.4615 data_time: 0.0222 memory: 17006 grad_norm: 10.9077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0624 loss: 1.0624 2022/07/30 03:34:52 - mmengine - INFO - Epoch(train) [146][2020/3757] lr: 9.0424e-04 eta: 15:00:39 time: 0.4065 data_time: 0.0215 memory: 17006 grad_norm: 10.9512 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3428 loss: 1.3428 2022/07/30 03:35:01 - mmengine - INFO - Epoch(train) [146][2040/3757] lr: 9.0424e-04 eta: 15:00:31 time: 0.4368 data_time: 0.0218 memory: 17006 grad_norm: 10.9043 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1800 loss: 1.1800 2022/07/30 03:35:09 - mmengine - INFO - Epoch(train) [146][2060/3757] lr: 9.0424e-04 eta: 15:00:23 time: 0.4087 data_time: 0.0227 memory: 17006 grad_norm: 10.9773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3377 loss: 1.3377 2022/07/30 03:35:18 - mmengine - INFO - Epoch(train) [146][2080/3757] lr: 9.0424e-04 eta: 15:00:15 time: 0.4513 data_time: 0.0237 memory: 17006 grad_norm: 11.2142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3691 loss: 1.3691 2022/07/30 03:35:26 - mmengine - INFO - Epoch(train) [146][2100/3757] lr: 9.0424e-04 eta: 15:00:07 time: 0.4073 data_time: 0.0210 memory: 17006 grad_norm: 10.9510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4828 loss: 1.4828 2022/07/30 03:35:34 - mmengine - INFO - Epoch(train) [146][2120/3757] lr: 9.0424e-04 eta: 14:59:58 time: 0.4042 data_time: 0.0203 memory: 17006 grad_norm: 10.9869 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2785 loss: 1.2785 2022/07/30 03:35:43 - mmengine - INFO - Epoch(train) [146][2140/3757] lr: 9.0424e-04 eta: 14:59:50 time: 0.4367 data_time: 0.0223 memory: 17006 grad_norm: 10.8988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5743 loss: 1.5743 2022/07/30 03:35:51 - mmengine - INFO - Epoch(train) [146][2160/3757] lr: 9.0424e-04 eta: 14:59:42 time: 0.4076 data_time: 0.0219 memory: 17006 grad_norm: 11.1893 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5713 loss: 1.5713 2022/07/30 03:35:59 - mmengine - INFO - Epoch(train) [146][2180/3757] lr: 9.0424e-04 eta: 14:59:33 time: 0.4172 data_time: 0.0234 memory: 17006 grad_norm: 10.6352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2479 loss: 1.2479 2022/07/30 03:36:09 - mmengine - INFO - Epoch(train) [146][2200/3757] lr: 9.0424e-04 eta: 14:59:26 time: 0.4556 data_time: 0.0214 memory: 17006 grad_norm: 11.1126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2823 loss: 1.2823 2022/07/30 03:36:17 - mmengine - INFO - Epoch(train) [146][2220/3757] lr: 9.0424e-04 eta: 14:59:17 time: 0.4079 data_time: 0.0216 memory: 17006 grad_norm: 11.3724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4737 loss: 1.4737 2022/07/30 03:36:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:36:25 - mmengine - INFO - Epoch(train) [146][2240/3757] lr: 9.0424e-04 eta: 14:59:09 time: 0.4044 data_time: 0.0206 memory: 17006 grad_norm: 10.9677 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4712 loss: 1.4712 2022/07/30 03:36:33 - mmengine - INFO - Epoch(train) [146][2260/3757] lr: 9.0424e-04 eta: 14:59:00 time: 0.4272 data_time: 0.0214 memory: 17006 grad_norm: 11.0622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3651 loss: 1.3651 2022/07/30 03:36:42 - mmengine - INFO - Epoch(train) [146][2280/3757] lr: 9.0424e-04 eta: 14:58:52 time: 0.4090 data_time: 0.0230 memory: 17006 grad_norm: 11.6507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2686 loss: 1.2686 2022/07/30 03:36:50 - mmengine - INFO - Epoch(train) [146][2300/3757] lr: 9.0424e-04 eta: 14:58:44 time: 0.4184 data_time: 0.0222 memory: 17006 grad_norm: 10.9935 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1876 loss: 1.1876 2022/07/30 03:36:58 - mmengine - INFO - Epoch(train) [146][2320/3757] lr: 9.0424e-04 eta: 14:58:35 time: 0.4054 data_time: 0.0202 memory: 17006 grad_norm: 11.3321 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5828 loss: 1.5828 2022/07/30 03:37:07 - mmengine - INFO - Epoch(train) [146][2340/3757] lr: 9.0424e-04 eta: 14:58:27 time: 0.4262 data_time: 0.0211 memory: 17006 grad_norm: 11.1076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4245 loss: 1.4245 2022/07/30 03:37:15 - mmengine - INFO - Epoch(train) [146][2360/3757] lr: 9.0424e-04 eta: 14:58:18 time: 0.4060 data_time: 0.0207 memory: 17006 grad_norm: 10.6408 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1804 loss: 1.1804 2022/07/30 03:37:23 - mmengine - INFO - Epoch(train) [146][2380/3757] lr: 9.0424e-04 eta: 14:58:10 time: 0.4066 data_time: 0.0202 memory: 17006 grad_norm: 11.4222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4118 loss: 1.4118 2022/07/30 03:37:32 - mmengine - INFO - Epoch(train) [146][2400/3757] lr: 9.0424e-04 eta: 14:58:01 time: 0.4263 data_time: 0.0215 memory: 17006 grad_norm: 11.0938 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1378 loss: 1.1378 2022/07/30 03:37:40 - mmengine - INFO - Epoch(train) [146][2420/3757] lr: 9.0424e-04 eta: 14:57:53 time: 0.4093 data_time: 0.0210 memory: 17006 grad_norm: 11.3231 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3403 loss: 1.3403 2022/07/30 03:37:49 - mmengine - INFO - Epoch(train) [146][2440/3757] lr: 9.0424e-04 eta: 14:57:45 time: 0.4444 data_time: 0.0265 memory: 17006 grad_norm: 10.6551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5392 loss: 1.5392 2022/07/30 03:37:57 - mmengine - INFO - Epoch(train) [146][2460/3757] lr: 9.0424e-04 eta: 14:57:37 time: 0.4048 data_time: 0.0208 memory: 17006 grad_norm: 11.6194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1557 loss: 1.1557 2022/07/30 03:38:05 - mmengine - INFO - Epoch(train) [146][2480/3757] lr: 9.0424e-04 eta: 14:57:28 time: 0.4060 data_time: 0.0222 memory: 17006 grad_norm: 10.7924 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4618 loss: 1.4618 2022/07/30 03:38:14 - mmengine - INFO - Epoch(train) [146][2500/3757] lr: 9.0424e-04 eta: 14:57:20 time: 0.4388 data_time: 0.0216 memory: 17006 grad_norm: 10.7822 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3497 loss: 1.3497 2022/07/30 03:38:22 - mmengine - INFO - Epoch(train) [146][2520/3757] lr: 9.0424e-04 eta: 14:57:11 time: 0.4045 data_time: 0.0206 memory: 17006 grad_norm: 10.6795 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1590 loss: 1.1590 2022/07/30 03:38:30 - mmengine - INFO - Epoch(train) [146][2540/3757] lr: 9.0424e-04 eta: 14:57:03 time: 0.4233 data_time: 0.0215 memory: 17006 grad_norm: 10.7503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2288 loss: 1.2288 2022/07/30 03:38:39 - mmengine - INFO - Epoch(train) [146][2560/3757] lr: 9.0424e-04 eta: 14:56:55 time: 0.4062 data_time: 0.0204 memory: 17006 grad_norm: 11.0551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4715 loss: 1.4715 2022/07/30 03:38:47 - mmengine - INFO - Epoch(train) [146][2580/3757] lr: 9.0424e-04 eta: 14:56:46 time: 0.4229 data_time: 0.0233 memory: 17006 grad_norm: 11.1115 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4592 loss: 1.4592 2022/07/30 03:38:55 - mmengine - INFO - Epoch(train) [146][2600/3757] lr: 9.0424e-04 eta: 14:56:38 time: 0.4025 data_time: 0.0200 memory: 17006 grad_norm: 11.2430 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3105 loss: 1.3105 2022/07/30 03:39:03 - mmengine - INFO - Epoch(train) [146][2620/3757] lr: 9.0424e-04 eta: 14:56:29 time: 0.4053 data_time: 0.0205 memory: 17006 grad_norm: 11.2190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9551 loss: 0.9551 2022/07/30 03:39:12 - mmengine - INFO - Epoch(train) [146][2640/3757] lr: 9.0424e-04 eta: 14:56:21 time: 0.4447 data_time: 0.0227 memory: 17006 grad_norm: 11.2335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4987 loss: 1.4987 2022/07/30 03:39:20 - mmengine - INFO - Epoch(train) [146][2660/3757] lr: 9.0424e-04 eta: 14:56:13 time: 0.4037 data_time: 0.0202 memory: 17006 grad_norm: 11.0769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/07/30 03:39:29 - mmengine - INFO - Epoch(train) [146][2680/3757] lr: 9.0424e-04 eta: 14:56:05 time: 0.4602 data_time: 0.0248 memory: 17006 grad_norm: 11.1499 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4781 loss: 1.4781 2022/07/30 03:39:38 - mmengine - INFO - Epoch(train) [146][2700/3757] lr: 9.0424e-04 eta: 14:55:57 time: 0.4043 data_time: 0.0203 memory: 17006 grad_norm: 11.0196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5235 loss: 1.5235 2022/07/30 03:39:46 - mmengine - INFO - Epoch(train) [146][2720/3757] lr: 9.0424e-04 eta: 14:55:48 time: 0.4145 data_time: 0.0216 memory: 17006 grad_norm: 10.9898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3023 loss: 1.3023 2022/07/30 03:39:54 - mmengine - INFO - Epoch(train) [146][2740/3757] lr: 9.0424e-04 eta: 14:55:40 time: 0.4157 data_time: 0.0197 memory: 17006 grad_norm: 11.2249 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1013 loss: 1.1013 2022/07/30 03:40:02 - mmengine - INFO - Epoch(train) [146][2760/3757] lr: 9.0424e-04 eta: 14:55:31 time: 0.4054 data_time: 0.0205 memory: 17006 grad_norm: 10.7202 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3886 loss: 1.3886 2022/07/30 03:40:11 - mmengine - INFO - Epoch(train) [146][2780/3757] lr: 9.0424e-04 eta: 14:55:23 time: 0.4146 data_time: 0.0198 memory: 17006 grad_norm: 11.4960 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7211 loss: 1.7211 2022/07/30 03:40:19 - mmengine - INFO - Epoch(train) [146][2800/3757] lr: 9.0424e-04 eta: 14:55:14 time: 0.4084 data_time: 0.0216 memory: 17006 grad_norm: 11.3405 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5965 loss: 1.5965 2022/07/30 03:40:27 - mmengine - INFO - Epoch(train) [146][2820/3757] lr: 9.0424e-04 eta: 14:55:06 time: 0.4276 data_time: 0.0248 memory: 17006 grad_norm: 10.6567 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/07/30 03:40:36 - mmengine - INFO - Epoch(train) [146][2840/3757] lr: 9.0424e-04 eta: 14:54:58 time: 0.4047 data_time: 0.0206 memory: 17006 grad_norm: 11.0576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/07/30 03:40:44 - mmengine - INFO - Epoch(train) [146][2860/3757] lr: 9.0424e-04 eta: 14:54:49 time: 0.4078 data_time: 0.0208 memory: 17006 grad_norm: 10.4557 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1106 loss: 1.1106 2022/07/30 03:40:52 - mmengine - INFO - Epoch(train) [146][2880/3757] lr: 9.0424e-04 eta: 14:54:41 time: 0.4212 data_time: 0.0222 memory: 17006 grad_norm: 10.8872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2575 loss: 1.2575 2022/07/30 03:41:01 - mmengine - INFO - Epoch(train) [146][2900/3757] lr: 9.0424e-04 eta: 14:54:32 time: 0.4144 data_time: 0.0221 memory: 17006 grad_norm: 10.6322 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.4524 loss: 1.4524 2022/07/30 03:41:09 - mmengine - INFO - Epoch(train) [146][2920/3757] lr: 9.0424e-04 eta: 14:54:24 time: 0.4311 data_time: 0.0268 memory: 17006 grad_norm: 11.2584 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3340 loss: 1.3340 2022/07/30 03:41:17 - mmengine - INFO - Epoch(train) [146][2940/3757] lr: 9.0424e-04 eta: 14:54:16 time: 0.4067 data_time: 0.0214 memory: 17006 grad_norm: 11.6571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4539 loss: 1.4539 2022/07/30 03:41:26 - mmengine - INFO - Epoch(train) [146][2960/3757] lr: 9.0424e-04 eta: 14:54:07 time: 0.4080 data_time: 0.0213 memory: 17006 grad_norm: 10.8481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3948 loss: 1.3948 2022/07/30 03:41:34 - mmengine - INFO - Epoch(train) [146][2980/3757] lr: 9.0424e-04 eta: 14:53:59 time: 0.4295 data_time: 0.0227 memory: 17006 grad_norm: 11.1459 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2936 loss: 1.2936 2022/07/30 03:41:42 - mmengine - INFO - Epoch(train) [146][3000/3757] lr: 9.0424e-04 eta: 14:53:50 time: 0.4059 data_time: 0.0209 memory: 17006 grad_norm: 10.6748 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2207 loss: 1.2207 2022/07/30 03:41:50 - mmengine - INFO - Epoch(train) [146][3020/3757] lr: 9.0424e-04 eta: 14:53:42 time: 0.4046 data_time: 0.0204 memory: 17006 grad_norm: 10.6871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2418 loss: 1.2418 2022/07/30 03:41:59 - mmengine - INFO - Epoch(train) [146][3040/3757] lr: 9.0424e-04 eta: 14:53:33 time: 0.4137 data_time: 0.0215 memory: 17006 grad_norm: 10.9195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5554 loss: 1.5554 2022/07/30 03:42:07 - mmengine - INFO - Epoch(train) [146][3060/3757] lr: 9.0424e-04 eta: 14:53:25 time: 0.4053 data_time: 0.0208 memory: 17006 grad_norm: 10.7804 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1041 loss: 1.1041 2022/07/30 03:42:15 - mmengine - INFO - Epoch(train) [146][3080/3757] lr: 9.0424e-04 eta: 14:53:16 time: 0.4066 data_time: 0.0219 memory: 17006 grad_norm: 11.2866 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4644 loss: 1.4644 2022/07/30 03:42:23 - mmengine - INFO - Epoch(train) [146][3100/3757] lr: 9.0424e-04 eta: 14:53:08 time: 0.4176 data_time: 0.0227 memory: 17006 grad_norm: 10.9760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1711 loss: 1.1711 2022/07/30 03:42:32 - mmengine - INFO - Epoch(train) [146][3120/3757] lr: 9.0424e-04 eta: 14:52:59 time: 0.4051 data_time: 0.0211 memory: 17006 grad_norm: 10.9088 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3130 loss: 1.3130 2022/07/30 03:42:40 - mmengine - INFO - Epoch(train) [146][3140/3757] lr: 9.0424e-04 eta: 14:52:51 time: 0.4361 data_time: 0.0243 memory: 17006 grad_norm: 11.0220 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4279 loss: 1.4279 2022/07/30 03:42:48 - mmengine - INFO - Epoch(train) [146][3160/3757] lr: 9.0424e-04 eta: 14:52:43 time: 0.4060 data_time: 0.0210 memory: 17006 grad_norm: 10.9197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/07/30 03:42:57 - mmengine - INFO - Epoch(train) [146][3180/3757] lr: 9.0424e-04 eta: 14:52:35 time: 0.4435 data_time: 0.0238 memory: 17006 grad_norm: 10.8286 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2476 loss: 1.2476 2022/07/30 03:43:05 - mmengine - INFO - Epoch(train) [146][3200/3757] lr: 9.0424e-04 eta: 14:52:26 time: 0.4063 data_time: 0.0205 memory: 17006 grad_norm: 11.1899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4171 loss: 1.4171 2022/07/30 03:43:14 - mmengine - INFO - Epoch(train) [146][3220/3757] lr: 9.0424e-04 eta: 14:52:18 time: 0.4048 data_time: 0.0193 memory: 17006 grad_norm: 10.5859 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3413 loss: 1.3413 2022/07/30 03:43:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:43:22 - mmengine - INFO - Epoch(train) [146][3240/3757] lr: 9.0424e-04 eta: 14:52:10 time: 0.4339 data_time: 0.0236 memory: 17006 grad_norm: 10.9138 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2108 loss: 1.2108 2022/07/30 03:43:30 - mmengine - INFO - Epoch(train) [146][3260/3757] lr: 9.0424e-04 eta: 14:52:01 time: 0.4060 data_time: 0.0211 memory: 17006 grad_norm: 11.4657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1557 loss: 1.1557 2022/07/30 03:43:40 - mmengine - INFO - Epoch(train) [146][3280/3757] lr: 9.0424e-04 eta: 14:51:54 time: 0.4529 data_time: 0.0232 memory: 17006 grad_norm: 10.7911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4219 loss: 1.4219 2022/07/30 03:43:48 - mmengine - INFO - Epoch(train) [146][3300/3757] lr: 9.0424e-04 eta: 14:51:45 time: 0.4084 data_time: 0.0208 memory: 17006 grad_norm: 10.6723 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2292 loss: 1.2292 2022/07/30 03:43:56 - mmengine - INFO - Epoch(train) [146][3320/3757] lr: 9.0424e-04 eta: 14:51:36 time: 0.4052 data_time: 0.0204 memory: 17006 grad_norm: 11.3397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0632 loss: 1.0632 2022/07/30 03:44:06 - mmengine - INFO - Epoch(train) [146][3340/3757] lr: 9.0424e-04 eta: 14:51:30 time: 0.4860 data_time: 0.0229 memory: 17006 grad_norm: 10.8786 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2889 loss: 1.2889 2022/07/30 03:44:14 - mmengine - INFO - Epoch(train) [146][3360/3757] lr: 9.0424e-04 eta: 14:51:21 time: 0.4069 data_time: 0.0221 memory: 17006 grad_norm: 10.8933 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2157 loss: 1.2157 2022/07/30 03:44:22 - mmengine - INFO - Epoch(train) [146][3380/3757] lr: 9.0424e-04 eta: 14:51:13 time: 0.4217 data_time: 0.0218 memory: 17006 grad_norm: 10.6926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3080 loss: 1.3080 2022/07/30 03:44:30 - mmengine - INFO - Epoch(train) [146][3400/3757] lr: 9.0424e-04 eta: 14:51:04 time: 0.4097 data_time: 0.0214 memory: 17006 grad_norm: 10.6150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3680 loss: 1.3680 2022/07/30 03:44:39 - mmengine - INFO - Epoch(train) [146][3420/3757] lr: 9.0424e-04 eta: 14:50:56 time: 0.4162 data_time: 0.0201 memory: 17006 grad_norm: 11.3094 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5427 loss: 1.5427 2022/07/30 03:44:47 - mmengine - INFO - Epoch(train) [146][3440/3757] lr: 9.0424e-04 eta: 14:50:48 time: 0.4207 data_time: 0.0218 memory: 17006 grad_norm: 11.4343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5926 loss: 1.5926 2022/07/30 03:44:55 - mmengine - INFO - Epoch(train) [146][3460/3757] lr: 9.0424e-04 eta: 14:50:39 time: 0.4038 data_time: 0.0193 memory: 17006 grad_norm: 10.6260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1699 loss: 1.1699 2022/07/30 03:45:04 - mmengine - INFO - Epoch(train) [146][3480/3757] lr: 9.0424e-04 eta: 14:50:31 time: 0.4176 data_time: 0.0219 memory: 17006 grad_norm: 11.2914 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4150 loss: 1.4150 2022/07/30 03:45:13 - mmengine - INFO - Epoch(train) [146][3500/3757] lr: 9.0424e-04 eta: 14:50:23 time: 0.4419 data_time: 0.0214 memory: 17006 grad_norm: 10.4934 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3408 loss: 1.3408 2022/07/30 03:45:21 - mmengine - INFO - Epoch(train) [146][3520/3757] lr: 9.0424e-04 eta: 14:50:14 time: 0.4169 data_time: 0.0218 memory: 17006 grad_norm: 10.9931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3039 loss: 1.3039 2022/07/30 03:45:29 - mmengine - INFO - Epoch(train) [146][3540/3757] lr: 9.0424e-04 eta: 14:50:06 time: 0.4070 data_time: 0.0215 memory: 17006 grad_norm: 10.9037 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2245 loss: 1.2245 2022/07/30 03:45:38 - mmengine - INFO - Epoch(train) [146][3560/3757] lr: 9.0424e-04 eta: 14:49:58 time: 0.4375 data_time: 0.0234 memory: 17006 grad_norm: 11.0116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3968 loss: 1.3968 2022/07/30 03:45:46 - mmengine - INFO - Epoch(train) [146][3580/3757] lr: 9.0424e-04 eta: 14:49:49 time: 0.4069 data_time: 0.0209 memory: 17006 grad_norm: 10.2109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1785 loss: 1.1785 2022/07/30 03:45:54 - mmengine - INFO - Epoch(train) [146][3600/3757] lr: 9.0424e-04 eta: 14:49:41 time: 0.4056 data_time: 0.0211 memory: 17006 grad_norm: 10.9858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2002 loss: 1.2002 2022/07/30 03:46:03 - mmengine - INFO - Epoch(train) [146][3620/3757] lr: 9.0424e-04 eta: 14:49:33 time: 0.4228 data_time: 0.0220 memory: 17006 grad_norm: 10.7098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0769 loss: 1.0769 2022/07/30 03:46:11 - mmengine - INFO - Epoch(train) [146][3640/3757] lr: 9.0424e-04 eta: 14:49:24 time: 0.4132 data_time: 0.0215 memory: 17006 grad_norm: 11.5009 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5057 loss: 1.5057 2022/07/30 03:46:19 - mmengine - INFO - Epoch(train) [146][3660/3757] lr: 9.0424e-04 eta: 14:49:16 time: 0.4222 data_time: 0.0229 memory: 17006 grad_norm: 10.6419 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5108 loss: 1.5108 2022/07/30 03:46:28 - mmengine - INFO - Epoch(train) [146][3680/3757] lr: 9.0424e-04 eta: 14:49:08 time: 0.4370 data_time: 0.0210 memory: 17006 grad_norm: 10.7925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1859 loss: 1.1859 2022/07/30 03:46:36 - mmengine - INFO - Epoch(train) [146][3700/3757] lr: 9.0424e-04 eta: 14:48:59 time: 0.4058 data_time: 0.0203 memory: 17006 grad_norm: 10.4839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1889 loss: 1.1889 2022/07/30 03:46:45 - mmengine - INFO - Epoch(train) [146][3720/3757] lr: 9.0424e-04 eta: 14:48:51 time: 0.4168 data_time: 0.0272 memory: 17006 grad_norm: 11.0117 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4283 loss: 1.4283 2022/07/30 03:46:53 - mmengine - INFO - Epoch(train) [146][3740/3757] lr: 9.0424e-04 eta: 14:48:42 time: 0.4083 data_time: 0.0201 memory: 17006 grad_norm: 11.2571 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2812 loss: 1.2812 2022/07/30 03:47:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:47:00 - mmengine - INFO - Epoch(train) [146][3757/3757] lr: 9.0424e-04 eta: 14:48:42 time: 0.4054 data_time: 0.0215 memory: 17006 grad_norm: 11.3123 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.4510 loss: 1.4510 2022/07/30 03:47:00 - mmengine - INFO - Saving checkpoint at 146 epochs 2022/07/30 03:47:14 - mmengine - INFO - Epoch(train) [147][20/3757] lr: 8.5481e-04 eta: 14:48:20 time: 0.4551 data_time: 0.0620 memory: 17006 grad_norm: 10.8939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3486 loss: 1.3486 2022/07/30 03:47:23 - mmengine - INFO - Epoch(train) [147][40/3757] lr: 8.5481e-04 eta: 14:48:12 time: 0.4277 data_time: 0.0226 memory: 17006 grad_norm: 11.0476 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1621 loss: 1.1621 2022/07/30 03:47:31 - mmengine - INFO - Epoch(train) [147][60/3757] lr: 8.5481e-04 eta: 14:48:03 time: 0.4071 data_time: 0.0198 memory: 17006 grad_norm: 11.0898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5513 loss: 1.5513 2022/07/30 03:47:39 - mmengine - INFO - Epoch(train) [147][80/3757] lr: 8.5481e-04 eta: 14:47:55 time: 0.4264 data_time: 0.0230 memory: 17006 grad_norm: 10.6533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3832 loss: 1.3832 2022/07/30 03:47:48 - mmengine - INFO - Epoch(train) [147][100/3757] lr: 8.5481e-04 eta: 14:47:46 time: 0.4041 data_time: 0.0186 memory: 17006 grad_norm: 11.0442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3864 loss: 1.3864 2022/07/30 03:47:56 - mmengine - INFO - Epoch(train) [147][120/3757] lr: 8.5481e-04 eta: 14:47:38 time: 0.4062 data_time: 0.0213 memory: 17006 grad_norm: 11.4386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5270 loss: 1.5270 2022/07/30 03:48:04 - mmengine - INFO - Epoch(train) [147][140/3757] lr: 8.5481e-04 eta: 14:47:30 time: 0.4339 data_time: 0.0193 memory: 17006 grad_norm: 11.3693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3014 loss: 1.3014 2022/07/30 03:48:13 - mmengine - INFO - Epoch(train) [147][160/3757] lr: 8.5481e-04 eta: 14:47:21 time: 0.4061 data_time: 0.0213 memory: 17006 grad_norm: 11.1463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/07/30 03:48:21 - mmengine - INFO - Epoch(train) [147][180/3757] lr: 8.5481e-04 eta: 14:47:13 time: 0.4324 data_time: 0.0206 memory: 17006 grad_norm: 11.2269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4399 loss: 1.4399 2022/07/30 03:48:29 - mmengine - INFO - Epoch(train) [147][200/3757] lr: 8.5481e-04 eta: 14:47:05 time: 0.4095 data_time: 0.0218 memory: 17006 grad_norm: 11.0995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/07/30 03:48:38 - mmengine - INFO - Epoch(train) [147][220/3757] lr: 8.5481e-04 eta: 14:46:57 time: 0.4424 data_time: 0.0206 memory: 17006 grad_norm: 11.1100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1492 loss: 1.1492 2022/07/30 03:48:46 - mmengine - INFO - Epoch(train) [147][240/3757] lr: 8.5481e-04 eta: 14:46:48 time: 0.4050 data_time: 0.0211 memory: 17006 grad_norm: 10.8464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2581 loss: 1.2581 2022/07/30 03:48:55 - mmengine - INFO - Epoch(train) [147][260/3757] lr: 8.5481e-04 eta: 14:46:40 time: 0.4029 data_time: 0.0186 memory: 17006 grad_norm: 11.1056 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4209 loss: 1.4209 2022/07/30 03:49:04 - mmengine - INFO - Epoch(train) [147][280/3757] lr: 8.5481e-04 eta: 14:46:32 time: 0.4531 data_time: 0.0226 memory: 17006 grad_norm: 10.7047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2711 loss: 1.2711 2022/07/30 03:49:12 - mmengine - INFO - Epoch(train) [147][300/3757] lr: 8.5481e-04 eta: 14:46:23 time: 0.4076 data_time: 0.0194 memory: 17006 grad_norm: 11.0719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5540 loss: 1.5540 2022/07/30 03:49:20 - mmengine - INFO - Epoch(train) [147][320/3757] lr: 8.5481e-04 eta: 14:46:15 time: 0.4156 data_time: 0.0228 memory: 17006 grad_norm: 10.6863 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3107 loss: 1.3107 2022/07/30 03:49:28 - mmengine - INFO - Epoch(train) [147][340/3757] lr: 8.5481e-04 eta: 14:46:07 time: 0.4130 data_time: 0.0203 memory: 17006 grad_norm: 11.3833 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3563 loss: 1.3563 2022/07/30 03:49:37 - mmengine - INFO - Epoch(train) [147][360/3757] lr: 8.5481e-04 eta: 14:45:58 time: 0.4063 data_time: 0.0204 memory: 17006 grad_norm: 11.1248 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0678 loss: 1.0678 2022/07/30 03:49:45 - mmengine - INFO - Epoch(train) [147][380/3757] lr: 8.5481e-04 eta: 14:45:50 time: 0.4172 data_time: 0.0240 memory: 17006 grad_norm: 10.8246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3483 loss: 1.3483 2022/07/30 03:49:53 - mmengine - INFO - Epoch(train) [147][400/3757] lr: 8.5481e-04 eta: 14:45:41 time: 0.4072 data_time: 0.0212 memory: 17006 grad_norm: 11.0013 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4642 loss: 1.4642 2022/07/30 03:50:01 - mmengine - INFO - Epoch(train) [147][420/3757] lr: 8.5481e-04 eta: 14:45:33 time: 0.4094 data_time: 0.0208 memory: 17006 grad_norm: 11.2233 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/07/30 03:50:10 - mmengine - INFO - Epoch(train) [147][440/3757] lr: 8.5481e-04 eta: 14:45:24 time: 0.4256 data_time: 0.0222 memory: 17006 grad_norm: 10.7535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5073 loss: 1.5073 2022/07/30 03:50:18 - mmengine - INFO - Epoch(train) [147][460/3757] lr: 8.5481e-04 eta: 14:45:16 time: 0.4162 data_time: 0.0211 memory: 17006 grad_norm: 10.6546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2379 loss: 1.2379 2022/07/30 03:50:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:50:26 - mmengine - INFO - Epoch(train) [147][480/3757] lr: 8.5481e-04 eta: 14:45:07 time: 0.4060 data_time: 0.0215 memory: 17006 grad_norm: 11.0928 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4048 loss: 1.4048 2022/07/30 03:50:35 - mmengine - INFO - Epoch(train) [147][500/3757] lr: 8.5481e-04 eta: 14:44:59 time: 0.4096 data_time: 0.0181 memory: 17006 grad_norm: 11.2898 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6010 loss: 1.6010 2022/07/30 03:50:43 - mmengine - INFO - Epoch(train) [147][520/3757] lr: 8.5481e-04 eta: 14:44:51 time: 0.4260 data_time: 0.0210 memory: 17006 grad_norm: 10.6007 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2185 loss: 1.2185 2022/07/30 03:50:52 - mmengine - INFO - Epoch(train) [147][540/3757] lr: 8.5481e-04 eta: 14:44:42 time: 0.4166 data_time: 0.0195 memory: 17006 grad_norm: 10.6219 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2663 loss: 1.2663 2022/07/30 03:51:00 - mmengine - INFO - Epoch(train) [147][560/3757] lr: 8.5481e-04 eta: 14:44:34 time: 0.4099 data_time: 0.0233 memory: 17006 grad_norm: 11.0877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3305 loss: 1.3305 2022/07/30 03:51:08 - mmengine - INFO - Epoch(train) [147][580/3757] lr: 8.5481e-04 eta: 14:44:26 time: 0.4263 data_time: 0.0196 memory: 17006 grad_norm: 11.0603 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4175 loss: 1.4175 2022/07/30 03:51:16 - mmengine - INFO - Epoch(train) [147][600/3757] lr: 8.5481e-04 eta: 14:44:17 time: 0.4056 data_time: 0.0210 memory: 17006 grad_norm: 10.9721 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0538 loss: 1.0538 2022/07/30 03:51:25 - mmengine - INFO - Epoch(train) [147][620/3757] lr: 8.5481e-04 eta: 14:44:08 time: 0.4033 data_time: 0.0185 memory: 17006 grad_norm: 10.8850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0676 loss: 1.0676 2022/07/30 03:51:33 - mmengine - INFO - Epoch(train) [147][640/3757] lr: 8.5481e-04 eta: 14:44:00 time: 0.4160 data_time: 0.0230 memory: 17006 grad_norm: 11.3057 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6278 loss: 1.6278 2022/07/30 03:51:41 - mmengine - INFO - Epoch(train) [147][660/3757] lr: 8.5481e-04 eta: 14:43:51 time: 0.4039 data_time: 0.0202 memory: 17006 grad_norm: 10.3379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3446 loss: 1.3446 2022/07/30 03:51:50 - mmengine - INFO - Epoch(train) [147][680/3757] lr: 8.5481e-04 eta: 14:43:43 time: 0.4272 data_time: 0.0225 memory: 17006 grad_norm: 10.8791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3479 loss: 1.3479 2022/07/30 03:51:58 - mmengine - INFO - Epoch(train) [147][700/3757] lr: 8.5481e-04 eta: 14:43:35 time: 0.4046 data_time: 0.0202 memory: 17006 grad_norm: 11.0228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2938 loss: 1.2938 2022/07/30 03:52:06 - mmengine - INFO - Epoch(train) [147][720/3757] lr: 8.5481e-04 eta: 14:43:26 time: 0.4053 data_time: 0.0213 memory: 17006 grad_norm: 10.7470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2156 loss: 1.2156 2022/07/30 03:52:14 - mmengine - INFO - Epoch(train) [147][740/3757] lr: 8.5481e-04 eta: 14:43:18 time: 0.4122 data_time: 0.0215 memory: 17006 grad_norm: 11.2573 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4587 loss: 1.4587 2022/07/30 03:52:22 - mmengine - INFO - Epoch(train) [147][760/3757] lr: 8.5481e-04 eta: 14:43:09 time: 0.4054 data_time: 0.0209 memory: 17006 grad_norm: 10.0519 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3075 loss: 1.3075 2022/07/30 03:52:31 - mmengine - INFO - Epoch(train) [147][780/3757] lr: 8.5481e-04 eta: 14:43:01 time: 0.4323 data_time: 0.0221 memory: 17006 grad_norm: 10.6635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2218 loss: 1.2218 2022/07/30 03:52:39 - mmengine - INFO - Epoch(train) [147][800/3757] lr: 8.5481e-04 eta: 14:42:52 time: 0.4064 data_time: 0.0218 memory: 17006 grad_norm: 10.6924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2086 loss: 1.2086 2022/07/30 03:52:48 - mmengine - INFO - Epoch(train) [147][820/3757] lr: 8.5481e-04 eta: 14:42:44 time: 0.4312 data_time: 0.0209 memory: 17006 grad_norm: 10.8660 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3890 loss: 1.3890 2022/07/30 03:52:56 - mmengine - INFO - Epoch(train) [147][840/3757] lr: 8.5481e-04 eta: 14:42:36 time: 0.4148 data_time: 0.0233 memory: 17006 grad_norm: 10.7550 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3151 loss: 1.3151 2022/07/30 03:53:04 - mmengine - INFO - Epoch(train) [147][860/3757] lr: 8.5481e-04 eta: 14:42:27 time: 0.4053 data_time: 0.0203 memory: 17006 grad_norm: 10.7163 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2234 loss: 1.2234 2022/07/30 03:53:13 - mmengine - INFO - Epoch(train) [147][880/3757] lr: 8.5481e-04 eta: 14:42:19 time: 0.4325 data_time: 0.0243 memory: 17006 grad_norm: 10.1591 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3987 loss: 1.3987 2022/07/30 03:53:21 - mmengine - INFO - Epoch(train) [147][900/3757] lr: 8.5481e-04 eta: 14:42:11 time: 0.4052 data_time: 0.0191 memory: 17006 grad_norm: 11.1828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3463 loss: 1.3463 2022/07/30 03:53:29 - mmengine - INFO - Epoch(train) [147][920/3757] lr: 8.5481e-04 eta: 14:42:02 time: 0.4208 data_time: 0.0226 memory: 17006 grad_norm: 10.9984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3344 loss: 1.3344 2022/07/30 03:53:38 - mmengine - INFO - Epoch(train) [147][940/3757] lr: 8.5481e-04 eta: 14:41:54 time: 0.4042 data_time: 0.0205 memory: 17006 grad_norm: 10.8062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2277 loss: 1.2277 2022/07/30 03:53:46 - mmengine - INFO - Epoch(train) [147][960/3757] lr: 8.5481e-04 eta: 14:41:45 time: 0.4048 data_time: 0.0197 memory: 17006 grad_norm: 11.1791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5683 loss: 1.5683 2022/07/30 03:53:55 - mmengine - INFO - Epoch(train) [147][980/3757] lr: 8.5481e-04 eta: 14:41:38 time: 0.4757 data_time: 0.0227 memory: 17006 grad_norm: 10.7708 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5641 loss: 1.5641 2022/07/30 03:54:03 - mmengine - INFO - Epoch(train) [147][1000/3757] lr: 8.5481e-04 eta: 14:41:30 time: 0.4087 data_time: 0.0218 memory: 17006 grad_norm: 11.0189 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4407 loss: 1.4407 2022/07/30 03:54:12 - mmengine - INFO - Epoch(train) [147][1020/3757] lr: 8.5481e-04 eta: 14:41:21 time: 0.4166 data_time: 0.0208 memory: 17006 grad_norm: 10.5737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3120 loss: 1.3120 2022/07/30 03:54:20 - mmengine - INFO - Epoch(train) [147][1040/3757] lr: 8.5481e-04 eta: 14:41:13 time: 0.4247 data_time: 0.0217 memory: 17006 grad_norm: 10.5804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3335 loss: 1.3335 2022/07/30 03:54:28 - mmengine - INFO - Epoch(train) [147][1060/3757] lr: 8.5481e-04 eta: 14:41:05 time: 0.4098 data_time: 0.0206 memory: 17006 grad_norm: 11.0543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/07/30 03:54:37 - mmengine - INFO - Epoch(train) [147][1080/3757] lr: 8.5481e-04 eta: 14:40:56 time: 0.4062 data_time: 0.0217 memory: 17006 grad_norm: 11.4213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4081 loss: 1.4081 2022/07/30 03:54:45 - mmengine - INFO - Epoch(train) [147][1100/3757] lr: 8.5481e-04 eta: 14:40:47 time: 0.4057 data_time: 0.0191 memory: 17006 grad_norm: 11.0143 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/07/30 03:54:53 - mmengine - INFO - Epoch(train) [147][1120/3757] lr: 8.5481e-04 eta: 14:40:39 time: 0.4301 data_time: 0.0219 memory: 17006 grad_norm: 11.1884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3092 loss: 1.3092 2022/07/30 03:55:02 - mmengine - INFO - Epoch(train) [147][1140/3757] lr: 8.5481e-04 eta: 14:40:31 time: 0.4235 data_time: 0.0200 memory: 17006 grad_norm: 10.7918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2134 loss: 1.2134 2022/07/30 03:55:10 - mmengine - INFO - Epoch(train) [147][1160/3757] lr: 8.5481e-04 eta: 14:40:23 time: 0.4267 data_time: 0.0219 memory: 17006 grad_norm: 11.0749 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2355 loss: 1.2355 2022/07/30 03:55:19 - mmengine - INFO - Epoch(train) [147][1180/3757] lr: 8.5481e-04 eta: 14:40:14 time: 0.4065 data_time: 0.0207 memory: 17006 grad_norm: 10.9740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5951 loss: 1.5951 2022/07/30 03:55:27 - mmengine - INFO - Epoch(train) [147][1200/3757] lr: 8.5481e-04 eta: 14:40:06 time: 0.4078 data_time: 0.0216 memory: 17006 grad_norm: 10.9083 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4434 loss: 1.4434 2022/07/30 03:55:35 - mmengine - INFO - Epoch(train) [147][1220/3757] lr: 8.5481e-04 eta: 14:39:57 time: 0.4123 data_time: 0.0191 memory: 17006 grad_norm: 10.9411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3355 loss: 1.3355 2022/07/30 03:55:43 - mmengine - INFO - Epoch(train) [147][1240/3757] lr: 8.5481e-04 eta: 14:39:49 time: 0.4089 data_time: 0.0219 memory: 17006 grad_norm: 10.9881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2680 loss: 1.2680 2022/07/30 03:55:51 - mmengine - INFO - Epoch(train) [147][1260/3757] lr: 8.5481e-04 eta: 14:39:40 time: 0.4063 data_time: 0.0192 memory: 17006 grad_norm: 10.9311 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4494 loss: 1.4494 2022/07/30 03:56:00 - mmengine - INFO - Epoch(train) [147][1280/3757] lr: 8.5481e-04 eta: 14:39:32 time: 0.4179 data_time: 0.0215 memory: 17006 grad_norm: 11.3730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2345 loss: 1.2345 2022/07/30 03:56:08 - mmengine - INFO - Epoch(train) [147][1300/3757] lr: 8.5481e-04 eta: 14:39:23 time: 0.4067 data_time: 0.0196 memory: 17006 grad_norm: 11.3004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4292 loss: 1.4292 2022/07/30 03:56:16 - mmengine - INFO - Epoch(train) [147][1320/3757] lr: 8.5481e-04 eta: 14:39:15 time: 0.4061 data_time: 0.0207 memory: 17006 grad_norm: 11.1601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4254 loss: 1.4254 2022/07/30 03:56:24 - mmengine - INFO - Epoch(train) [147][1340/3757] lr: 8.5481e-04 eta: 14:39:06 time: 0.4070 data_time: 0.0215 memory: 17006 grad_norm: 11.2943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3662 loss: 1.3662 2022/07/30 03:56:32 - mmengine - INFO - Epoch(train) [147][1360/3757] lr: 8.5481e-04 eta: 14:38:58 time: 0.4060 data_time: 0.0196 memory: 17006 grad_norm: 11.0655 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1007 loss: 1.1007 2022/07/30 03:56:41 - mmengine - INFO - Epoch(train) [147][1380/3757] lr: 8.5481e-04 eta: 14:38:49 time: 0.4079 data_time: 0.0215 memory: 17006 grad_norm: 10.8336 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1360 loss: 1.1360 2022/07/30 03:56:49 - mmengine - INFO - Epoch(train) [147][1400/3757] lr: 8.5481e-04 eta: 14:38:40 time: 0.4093 data_time: 0.0225 memory: 17006 grad_norm: 10.7968 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1556 loss: 1.1556 2022/07/30 03:56:57 - mmengine - INFO - Epoch(train) [147][1420/3757] lr: 8.5481e-04 eta: 14:38:32 time: 0.4051 data_time: 0.0195 memory: 17006 grad_norm: 10.5522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1832 loss: 1.1832 2022/07/30 03:57:05 - mmengine - INFO - Epoch(train) [147][1440/3757] lr: 8.5481e-04 eta: 14:38:23 time: 0.4066 data_time: 0.0236 memory: 17006 grad_norm: 10.7436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3990 loss: 1.3990 2022/07/30 03:57:13 - mmengine - INFO - Epoch(train) [147][1460/3757] lr: 8.5481e-04 eta: 14:38:15 time: 0.4059 data_time: 0.0213 memory: 17006 grad_norm: 11.0827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2790 loss: 1.2790 2022/07/30 03:57:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 03:57:21 - mmengine - INFO - Epoch(train) [147][1480/3757] lr: 8.5481e-04 eta: 14:38:06 time: 0.4066 data_time: 0.0224 memory: 17006 grad_norm: 10.9136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2396 loss: 1.2396 2022/07/30 03:57:30 - mmengine - INFO - Epoch(train) [147][1500/3757] lr: 8.5481e-04 eta: 14:37:58 time: 0.4188 data_time: 0.0211 memory: 17006 grad_norm: 11.0264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3853 loss: 1.3853 2022/07/30 03:57:38 - mmengine - INFO - Epoch(train) [147][1520/3757] lr: 8.5481e-04 eta: 14:37:49 time: 0.4066 data_time: 0.0210 memory: 17006 grad_norm: 11.1726 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3391 loss: 1.3391 2022/07/30 03:57:46 - mmengine - INFO - Epoch(train) [147][1540/3757] lr: 8.5481e-04 eta: 14:37:40 time: 0.4034 data_time: 0.0185 memory: 17006 grad_norm: 10.8851 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3068 loss: 1.3068 2022/07/30 03:57:55 - mmengine - INFO - Epoch(train) [147][1560/3757] lr: 8.5481e-04 eta: 14:37:33 time: 0.4570 data_time: 0.0223 memory: 17006 grad_norm: 11.0735 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3079 loss: 1.3079 2022/07/30 03:58:03 - mmengine - INFO - Epoch(train) [147][1580/3757] lr: 8.5481e-04 eta: 14:37:24 time: 0.4064 data_time: 0.0186 memory: 17006 grad_norm: 10.5287 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1698 loss: 1.1698 2022/07/30 03:58:12 - mmengine - INFO - Epoch(train) [147][1600/3757] lr: 8.5481e-04 eta: 14:37:16 time: 0.4127 data_time: 0.0228 memory: 17006 grad_norm: 10.6958 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0003 loss: 1.0003 2022/07/30 03:58:20 - mmengine - INFO - Epoch(train) [147][1620/3757] lr: 8.5481e-04 eta: 14:37:07 time: 0.4043 data_time: 0.0182 memory: 17006 grad_norm: 11.0883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4802 loss: 1.4802 2022/07/30 03:58:29 - mmengine - INFO - Epoch(train) [147][1640/3757] lr: 8.5481e-04 eta: 14:37:00 time: 0.4392 data_time: 0.0227 memory: 17006 grad_norm: 11.1320 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3638 loss: 1.3638 2022/07/30 03:58:37 - mmengine - INFO - Epoch(train) [147][1660/3757] lr: 8.5481e-04 eta: 14:36:51 time: 0.4034 data_time: 0.0182 memory: 17006 grad_norm: 10.7834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4246 loss: 1.4246 2022/07/30 03:58:45 - mmengine - INFO - Epoch(train) [147][1680/3757] lr: 8.5481e-04 eta: 14:36:42 time: 0.4054 data_time: 0.0214 memory: 17006 grad_norm: 10.3032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0349 loss: 1.0349 2022/07/30 03:58:54 - mmengine - INFO - Epoch(train) [147][1700/3757] lr: 8.5481e-04 eta: 14:36:35 time: 0.4643 data_time: 0.0211 memory: 17006 grad_norm: 11.2579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3352 loss: 1.3352 2022/07/30 03:59:02 - mmengine - INFO - Epoch(train) [147][1720/3757] lr: 8.5481e-04 eta: 14:36:26 time: 0.4074 data_time: 0.0220 memory: 17006 grad_norm: 11.2716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4510 loss: 1.4510 2022/07/30 03:59:11 - mmengine - INFO - Epoch(train) [147][1740/3757] lr: 8.5481e-04 eta: 14:36:19 time: 0.4552 data_time: 0.0204 memory: 17006 grad_norm: 11.0936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5307 loss: 1.5307 2022/07/30 03:59:20 - mmengine - INFO - Epoch(train) [147][1760/3757] lr: 8.5481e-04 eta: 14:36:10 time: 0.4082 data_time: 0.0222 memory: 17006 grad_norm: 11.0267 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3799 loss: 1.3799 2022/07/30 03:59:28 - mmengine - INFO - Epoch(train) [147][1780/3757] lr: 8.5481e-04 eta: 14:36:02 time: 0.4080 data_time: 0.0189 memory: 17006 grad_norm: 10.8437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2620 loss: 1.2620 2022/07/30 03:59:37 - mmengine - INFO - Epoch(train) [147][1800/3757] lr: 8.5481e-04 eta: 14:35:54 time: 0.4611 data_time: 0.0218 memory: 17006 grad_norm: 10.8468 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2835 loss: 1.2835 2022/07/30 03:59:45 - mmengine - INFO - Epoch(train) [147][1820/3757] lr: 8.5481e-04 eta: 14:35:46 time: 0.4049 data_time: 0.0187 memory: 17006 grad_norm: 10.8658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2945 loss: 1.2945 2022/07/30 03:59:55 - mmengine - INFO - Epoch(train) [147][1840/3757] lr: 8.5481e-04 eta: 14:35:38 time: 0.4626 data_time: 0.0236 memory: 17006 grad_norm: 11.0668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5189 loss: 1.5189 2022/07/30 04:00:03 - mmengine - INFO - Epoch(train) [147][1860/3757] lr: 8.5481e-04 eta: 14:35:30 time: 0.4053 data_time: 0.0192 memory: 17006 grad_norm: 11.0114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4673 loss: 1.4673 2022/07/30 04:00:12 - mmengine - INFO - Epoch(train) [147][1880/3757] lr: 8.5481e-04 eta: 14:35:22 time: 0.4569 data_time: 0.0237 memory: 17006 grad_norm: 10.8444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3810 loss: 1.3810 2022/07/30 04:00:20 - mmengine - INFO - Epoch(train) [147][1900/3757] lr: 8.5481e-04 eta: 14:35:14 time: 0.4025 data_time: 0.0180 memory: 17006 grad_norm: 10.8467 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 1.2789 loss: 1.2789 2022/07/30 04:00:28 - mmengine - INFO - Epoch(train) [147][1920/3757] lr: 8.5481e-04 eta: 14:35:05 time: 0.4224 data_time: 0.0229 memory: 17006 grad_norm: 11.4039 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/07/30 04:00:36 - mmengine - INFO - Epoch(train) [147][1940/3757] lr: 8.5481e-04 eta: 14:34:57 time: 0.4040 data_time: 0.0195 memory: 17006 grad_norm: 10.8911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1290 loss: 1.1290 2022/07/30 04:00:46 - mmengine - INFO - Epoch(train) [147][1960/3757] lr: 8.5481e-04 eta: 14:34:49 time: 0.4550 data_time: 0.0216 memory: 17006 grad_norm: 10.4682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3477 loss: 1.3477 2022/07/30 04:00:54 - mmengine - INFO - Epoch(train) [147][1980/3757] lr: 8.5481e-04 eta: 14:34:41 time: 0.4150 data_time: 0.0190 memory: 17006 grad_norm: 11.0222 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2727 loss: 1.2727 2022/07/30 04:01:02 - mmengine - INFO - Epoch(train) [147][2000/3757] lr: 8.5481e-04 eta: 14:34:33 time: 0.4210 data_time: 0.0242 memory: 17006 grad_norm: 10.9861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2901 loss: 1.2901 2022/07/30 04:01:11 - mmengine - INFO - Epoch(train) [147][2020/3757] lr: 8.5481e-04 eta: 14:34:24 time: 0.4059 data_time: 0.0203 memory: 17006 grad_norm: 11.1258 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3522 loss: 1.3522 2022/07/30 04:01:19 - mmengine - INFO - Epoch(train) [147][2040/3757] lr: 8.5481e-04 eta: 14:34:16 time: 0.4261 data_time: 0.0233 memory: 17006 grad_norm: 10.6128 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2330 loss: 1.2330 2022/07/30 04:01:27 - mmengine - INFO - Epoch(train) [147][2060/3757] lr: 8.5481e-04 eta: 14:34:07 time: 0.4031 data_time: 0.0183 memory: 17006 grad_norm: 10.9899 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4500 loss: 1.4500 2022/07/30 04:01:35 - mmengine - INFO - Epoch(train) [147][2080/3757] lr: 8.5481e-04 eta: 14:33:59 time: 0.4109 data_time: 0.0211 memory: 17006 grad_norm: 10.9578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2991 loss: 1.2991 2022/07/30 04:01:44 - mmengine - INFO - Epoch(train) [147][2100/3757] lr: 8.5481e-04 eta: 14:33:50 time: 0.4132 data_time: 0.0214 memory: 17006 grad_norm: 10.4532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4336 loss: 1.4336 2022/07/30 04:01:52 - mmengine - INFO - Epoch(train) [147][2120/3757] lr: 8.5481e-04 eta: 14:33:42 time: 0.4104 data_time: 0.0216 memory: 17006 grad_norm: 10.7982 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3801 loss: 1.3801 2022/07/30 04:02:01 - mmengine - INFO - Epoch(train) [147][2140/3757] lr: 8.5481e-04 eta: 14:33:34 time: 0.4346 data_time: 0.0219 memory: 17006 grad_norm: 10.6472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3747 loss: 1.3747 2022/07/30 04:02:09 - mmengine - INFO - Epoch(train) [147][2160/3757] lr: 8.5481e-04 eta: 14:33:25 time: 0.4196 data_time: 0.0222 memory: 17006 grad_norm: 10.9213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3548 loss: 1.3548 2022/07/30 04:02:17 - mmengine - INFO - Epoch(train) [147][2180/3757] lr: 8.5481e-04 eta: 14:33:17 time: 0.4063 data_time: 0.0198 memory: 17006 grad_norm: 11.0909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1399 loss: 1.1399 2022/07/30 04:02:26 - mmengine - INFO - Epoch(train) [147][2200/3757] lr: 8.5481e-04 eta: 14:33:09 time: 0.4369 data_time: 0.0223 memory: 17006 grad_norm: 11.0361 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0842 loss: 1.0842 2022/07/30 04:02:34 - mmengine - INFO - Epoch(train) [147][2220/3757] lr: 8.5481e-04 eta: 14:33:01 time: 0.4174 data_time: 0.0189 memory: 17006 grad_norm: 10.6805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2691 loss: 1.2691 2022/07/30 04:02:43 - mmengine - INFO - Epoch(train) [147][2240/3757] lr: 8.5481e-04 eta: 14:32:53 time: 0.4405 data_time: 0.0251 memory: 17006 grad_norm: 10.6818 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5748 loss: 1.5748 2022/07/30 04:02:52 - mmengine - INFO - Epoch(train) [147][2260/3757] lr: 8.5481e-04 eta: 14:32:44 time: 0.4185 data_time: 0.0211 memory: 17006 grad_norm: 11.2773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1057 loss: 1.1057 2022/07/30 04:03:00 - mmengine - INFO - Epoch(train) [147][2280/3757] lr: 8.5481e-04 eta: 14:32:36 time: 0.4282 data_time: 0.0234 memory: 17006 grad_norm: 11.1291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2930 loss: 1.2930 2022/07/30 04:03:08 - mmengine - INFO - Epoch(train) [147][2300/3757] lr: 8.5481e-04 eta: 14:32:28 time: 0.4086 data_time: 0.0195 memory: 17006 grad_norm: 10.9087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4361 loss: 1.4361 2022/07/30 04:03:16 - mmengine - INFO - Epoch(train) [147][2320/3757] lr: 8.5481e-04 eta: 14:32:19 time: 0.4052 data_time: 0.0221 memory: 17006 grad_norm: 10.3373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2044 loss: 1.2044 2022/07/30 04:03:25 - mmengine - INFO - Epoch(train) [147][2340/3757] lr: 8.5481e-04 eta: 14:32:11 time: 0.4127 data_time: 0.0200 memory: 17006 grad_norm: 10.8778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2924 loss: 1.2924 2022/07/30 04:03:33 - mmengine - INFO - Epoch(train) [147][2360/3757] lr: 8.5481e-04 eta: 14:32:02 time: 0.4151 data_time: 0.0212 memory: 17006 grad_norm: 10.8243 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3974 loss: 1.3974 2022/07/30 04:03:42 - mmengine - INFO - Epoch(train) [147][2380/3757] lr: 8.5481e-04 eta: 14:31:54 time: 0.4222 data_time: 0.0211 memory: 17006 grad_norm: 11.2390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6203 loss: 1.6203 2022/07/30 04:03:50 - mmengine - INFO - Epoch(train) [147][2400/3757] lr: 8.5481e-04 eta: 14:31:46 time: 0.4218 data_time: 0.0226 memory: 17006 grad_norm: 10.6826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2541 loss: 1.2541 2022/07/30 04:03:58 - mmengine - INFO - Epoch(train) [147][2420/3757] lr: 8.5481e-04 eta: 14:31:37 time: 0.4061 data_time: 0.0203 memory: 17006 grad_norm: 10.9197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0101 loss: 1.0101 2022/07/30 04:04:07 - mmengine - INFO - Epoch(train) [147][2440/3757] lr: 8.5481e-04 eta: 14:31:29 time: 0.4351 data_time: 0.0242 memory: 17006 grad_norm: 11.1913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4690 loss: 1.4690 2022/07/30 04:04:15 - mmengine - INFO - Epoch(train) [147][2460/3757] lr: 8.5481e-04 eta: 14:31:21 time: 0.4167 data_time: 0.0235 memory: 17006 grad_norm: 11.4729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5657 loss: 1.5657 2022/07/30 04:04:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:04:24 - mmengine - INFO - Epoch(train) [147][2480/3757] lr: 8.5481e-04 eta: 14:31:13 time: 0.4264 data_time: 0.0220 memory: 17006 grad_norm: 11.5332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3073 loss: 1.3073 2022/07/30 04:04:32 - mmengine - INFO - Epoch(train) [147][2500/3757] lr: 8.5481e-04 eta: 14:31:05 time: 0.4240 data_time: 0.0225 memory: 17006 grad_norm: 10.9929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3509 loss: 1.3509 2022/07/30 04:04:41 - mmengine - INFO - Epoch(train) [147][2520/3757] lr: 8.5481e-04 eta: 14:30:56 time: 0.4075 data_time: 0.0209 memory: 17006 grad_norm: 10.6897 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1652 loss: 1.1652 2022/07/30 04:04:49 - mmengine - INFO - Epoch(train) [147][2540/3757] lr: 8.5481e-04 eta: 14:30:48 time: 0.4126 data_time: 0.0221 memory: 17006 grad_norm: 11.2014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/07/30 04:04:57 - mmengine - INFO - Epoch(train) [147][2560/3757] lr: 8.5481e-04 eta: 14:30:39 time: 0.4054 data_time: 0.0209 memory: 17006 grad_norm: 10.8269 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3066 loss: 1.3066 2022/07/30 04:05:05 - mmengine - INFO - Epoch(train) [147][2580/3757] lr: 8.5481e-04 eta: 14:30:31 time: 0.4169 data_time: 0.0274 memory: 17006 grad_norm: 11.5436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4375 loss: 1.4375 2022/07/30 04:05:14 - mmengine - INFO - Epoch(train) [147][2600/3757] lr: 8.5481e-04 eta: 14:30:22 time: 0.4138 data_time: 0.0225 memory: 17006 grad_norm: 11.0588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2234 loss: 1.2234 2022/07/30 04:05:22 - mmengine - INFO - Epoch(train) [147][2620/3757] lr: 8.5481e-04 eta: 14:30:14 time: 0.4182 data_time: 0.0208 memory: 17006 grad_norm: 11.4328 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5978 loss: 1.5978 2022/07/30 04:05:30 - mmengine - INFO - Epoch(train) [147][2640/3757] lr: 8.5481e-04 eta: 14:30:05 time: 0.4052 data_time: 0.0204 memory: 17006 grad_norm: 11.3896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4777 loss: 1.4777 2022/07/30 04:05:38 - mmengine - INFO - Epoch(train) [147][2660/3757] lr: 8.5481e-04 eta: 14:29:57 time: 0.4157 data_time: 0.0189 memory: 17006 grad_norm: 11.0267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3132 loss: 1.3132 2022/07/30 04:05:47 - mmengine - INFO - Epoch(train) [147][2680/3757] lr: 8.5481e-04 eta: 14:29:49 time: 0.4214 data_time: 0.0207 memory: 17006 grad_norm: 10.7492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1418 loss: 1.1418 2022/07/30 04:05:55 - mmengine - INFO - Epoch(train) [147][2700/3757] lr: 8.5481e-04 eta: 14:29:40 time: 0.4056 data_time: 0.0197 memory: 17006 grad_norm: 11.3796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1864 loss: 1.1864 2022/07/30 04:06:04 - mmengine - INFO - Epoch(train) [147][2720/3757] lr: 8.5481e-04 eta: 14:29:32 time: 0.4218 data_time: 0.0225 memory: 17006 grad_norm: 11.6979 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2723 loss: 1.2723 2022/07/30 04:06:12 - mmengine - INFO - Epoch(train) [147][2740/3757] lr: 8.5481e-04 eta: 14:29:24 time: 0.4327 data_time: 0.0199 memory: 17006 grad_norm: 11.0212 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5423 loss: 1.5423 2022/07/30 04:06:21 - mmengine - INFO - Epoch(train) [147][2760/3757] lr: 8.5481e-04 eta: 14:29:15 time: 0.4179 data_time: 0.0239 memory: 17006 grad_norm: 11.2251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2517 loss: 1.2517 2022/07/30 04:06:29 - mmengine - INFO - Epoch(train) [147][2780/3757] lr: 8.5481e-04 eta: 14:29:07 time: 0.4071 data_time: 0.0203 memory: 17006 grad_norm: 11.5262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4182 loss: 1.4182 2022/07/30 04:06:37 - mmengine - INFO - Epoch(train) [147][2800/3757] lr: 8.5481e-04 eta: 14:28:58 time: 0.4080 data_time: 0.0229 memory: 17006 grad_norm: 10.6400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2990 loss: 1.2990 2022/07/30 04:06:45 - mmengine - INFO - Epoch(train) [147][2820/3757] lr: 8.5481e-04 eta: 14:28:50 time: 0.4211 data_time: 0.0208 memory: 17006 grad_norm: 10.8663 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9485 loss: 0.9485 2022/07/30 04:06:54 - mmengine - INFO - Epoch(train) [147][2840/3757] lr: 8.5481e-04 eta: 14:28:42 time: 0.4104 data_time: 0.0217 memory: 17006 grad_norm: 11.2565 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4818 loss: 1.4818 2022/07/30 04:07:03 - mmengine - INFO - Epoch(train) [147][2860/3757] lr: 8.5481e-04 eta: 14:28:34 time: 0.4572 data_time: 0.0226 memory: 17006 grad_norm: 11.5423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1609 loss: 1.1609 2022/07/30 04:07:11 - mmengine - INFO - Epoch(train) [147][2880/3757] lr: 8.5481e-04 eta: 14:28:26 time: 0.4071 data_time: 0.0224 memory: 17006 grad_norm: 11.1756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2607 loss: 1.2607 2022/07/30 04:07:20 - mmengine - INFO - Epoch(train) [147][2900/3757] lr: 8.5481e-04 eta: 14:28:18 time: 0.4353 data_time: 0.0223 memory: 17006 grad_norm: 11.6590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3011 loss: 1.3011 2022/07/30 04:07:28 - mmengine - INFO - Epoch(train) [147][2920/3757] lr: 8.5481e-04 eta: 14:28:09 time: 0.4056 data_time: 0.0212 memory: 17006 grad_norm: 10.8912 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6168 loss: 1.6168 2022/07/30 04:07:37 - mmengine - INFO - Epoch(train) [147][2940/3757] lr: 8.5481e-04 eta: 14:28:01 time: 0.4382 data_time: 0.0198 memory: 17006 grad_norm: 10.9589 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4100 loss: 1.4100 2022/07/30 04:07:45 - mmengine - INFO - Epoch(train) [147][2960/3757] lr: 8.5481e-04 eta: 14:27:53 time: 0.4284 data_time: 0.0252 memory: 17006 grad_norm: 11.0847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/07/30 04:07:53 - mmengine - INFO - Epoch(train) [147][2980/3757] lr: 8.5481e-04 eta: 14:27:44 time: 0.4056 data_time: 0.0193 memory: 17006 grad_norm: 11.0315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1676 loss: 1.1676 2022/07/30 04:08:02 - mmengine - INFO - Epoch(train) [147][3000/3757] lr: 8.5481e-04 eta: 14:27:36 time: 0.4263 data_time: 0.0246 memory: 17006 grad_norm: 11.1276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4285 loss: 1.4285 2022/07/30 04:08:10 - mmengine - INFO - Epoch(train) [147][3020/3757] lr: 8.5481e-04 eta: 14:27:28 time: 0.4060 data_time: 0.0221 memory: 17006 grad_norm: 11.2862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4677 loss: 1.4677 2022/07/30 04:08:18 - mmengine - INFO - Epoch(train) [147][3040/3757] lr: 8.5481e-04 eta: 14:27:19 time: 0.4084 data_time: 0.0229 memory: 17006 grad_norm: 10.9916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2624 loss: 1.2624 2022/07/30 04:08:27 - mmengine - INFO - Epoch(train) [147][3060/3757] lr: 8.5481e-04 eta: 14:27:11 time: 0.4180 data_time: 0.0198 memory: 17006 grad_norm: 10.9761 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4157 loss: 1.4157 2022/07/30 04:08:35 - mmengine - INFO - Epoch(train) [147][3080/3757] lr: 8.5481e-04 eta: 14:27:02 time: 0.4100 data_time: 0.0223 memory: 17006 grad_norm: 10.7509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3150 loss: 1.3150 2022/07/30 04:08:43 - mmengine - INFO - Epoch(train) [147][3100/3757] lr: 8.5481e-04 eta: 14:26:54 time: 0.4233 data_time: 0.0218 memory: 17006 grad_norm: 11.1063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3403 loss: 1.3403 2022/07/30 04:08:52 - mmengine - INFO - Epoch(train) [147][3120/3757] lr: 8.5481e-04 eta: 14:26:46 time: 0.4181 data_time: 0.0221 memory: 17006 grad_norm: 11.2168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3062 loss: 1.3062 2022/07/30 04:09:01 - mmengine - INFO - Epoch(train) [147][3140/3757] lr: 8.5481e-04 eta: 14:26:38 time: 0.4406 data_time: 0.0240 memory: 17006 grad_norm: 11.4349 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3560 loss: 1.3560 2022/07/30 04:09:09 - mmengine - INFO - Epoch(train) [147][3160/3757] lr: 8.5481e-04 eta: 14:26:29 time: 0.4056 data_time: 0.0216 memory: 17006 grad_norm: 11.2466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/07/30 04:09:17 - mmengine - INFO - Epoch(train) [147][3180/3757] lr: 8.5481e-04 eta: 14:26:21 time: 0.4088 data_time: 0.0213 memory: 17006 grad_norm: 10.7756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2817 loss: 1.2817 2022/07/30 04:09:26 - mmengine - INFO - Epoch(train) [147][3200/3757] lr: 8.5481e-04 eta: 14:26:13 time: 0.4428 data_time: 0.0245 memory: 17006 grad_norm: 11.2882 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3611 loss: 1.3611 2022/07/30 04:09:34 - mmengine - INFO - Epoch(train) [147][3220/3757] lr: 8.5481e-04 eta: 14:26:05 time: 0.4163 data_time: 0.0185 memory: 17006 grad_norm: 10.3421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0525 loss: 1.0525 2022/07/30 04:09:43 - mmengine - INFO - Epoch(train) [147][3240/3757] lr: 8.5481e-04 eta: 14:25:57 time: 0.4312 data_time: 0.0246 memory: 17006 grad_norm: 10.7955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3347 loss: 1.3347 2022/07/30 04:09:51 - mmengine - INFO - Epoch(train) [147][3260/3757] lr: 8.5481e-04 eta: 14:25:48 time: 0.4083 data_time: 0.0195 memory: 17006 grad_norm: 11.2469 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1030 loss: 1.1030 2022/07/30 04:10:00 - mmengine - INFO - Epoch(train) [147][3280/3757] lr: 8.5481e-04 eta: 14:25:40 time: 0.4336 data_time: 0.0254 memory: 17006 grad_norm: 11.0712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4090 loss: 1.4090 2022/07/30 04:10:08 - mmengine - INFO - Epoch(train) [147][3300/3757] lr: 8.5481e-04 eta: 14:25:31 time: 0.4052 data_time: 0.0207 memory: 17006 grad_norm: 11.1516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0685 loss: 1.0685 2022/07/30 04:10:16 - mmengine - INFO - Epoch(train) [147][3320/3757] lr: 8.5481e-04 eta: 14:25:23 time: 0.4048 data_time: 0.0213 memory: 17006 grad_norm: 10.7251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/07/30 04:10:25 - mmengine - INFO - Epoch(train) [147][3340/3757] lr: 8.5481e-04 eta: 14:25:15 time: 0.4371 data_time: 0.0207 memory: 17006 grad_norm: 11.1282 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4097 loss: 1.4097 2022/07/30 04:10:33 - mmengine - INFO - Epoch(train) [147][3360/3757] lr: 8.5481e-04 eta: 14:25:06 time: 0.4090 data_time: 0.0218 memory: 17006 grad_norm: 10.8699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3341 loss: 1.3341 2022/07/30 04:10:43 - mmengine - INFO - Epoch(train) [147][3380/3757] lr: 8.5481e-04 eta: 14:25:00 time: 0.4941 data_time: 0.0235 memory: 17006 grad_norm: 10.8626 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2353 loss: 1.2353 2022/07/30 04:10:51 - mmengine - INFO - Epoch(train) [147][3400/3757] lr: 8.5481e-04 eta: 14:24:51 time: 0.4069 data_time: 0.0218 memory: 17006 grad_norm: 11.5081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3790 loss: 1.3790 2022/07/30 04:11:00 - mmengine - INFO - Epoch(train) [147][3420/3757] lr: 8.5481e-04 eta: 14:24:43 time: 0.4304 data_time: 0.0248 memory: 17006 grad_norm: 11.3179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0121 loss: 1.0121 2022/07/30 04:11:08 - mmengine - INFO - Epoch(train) [147][3440/3757] lr: 8.5481e-04 eta: 14:24:34 time: 0.4063 data_time: 0.0229 memory: 17006 grad_norm: 10.9933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1808 loss: 1.1808 2022/07/30 04:11:16 - mmengine - INFO - Epoch(train) [147][3460/3757] lr: 8.5481e-04 eta: 14:24:26 time: 0.4040 data_time: 0.0195 memory: 17006 grad_norm: 10.6917 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1963 loss: 1.1963 2022/07/30 04:11:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:11:24 - mmengine - INFO - Epoch(train) [147][3480/3757] lr: 8.5481e-04 eta: 14:24:18 time: 0.4270 data_time: 0.0237 memory: 17006 grad_norm: 10.6167 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1279 loss: 1.1279 2022/07/30 04:11:33 - mmengine - INFO - Epoch(train) [147][3500/3757] lr: 8.5481e-04 eta: 14:24:09 time: 0.4039 data_time: 0.0184 memory: 17006 grad_norm: 11.4669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1400 loss: 1.1400 2022/07/30 04:11:41 - mmengine - INFO - Epoch(train) [147][3520/3757] lr: 8.5481e-04 eta: 14:24:01 time: 0.4229 data_time: 0.0238 memory: 17006 grad_norm: 10.8246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3635 loss: 1.3635 2022/07/30 04:11:49 - mmengine - INFO - Epoch(train) [147][3540/3757] lr: 8.5481e-04 eta: 14:23:52 time: 0.4086 data_time: 0.0195 memory: 17006 grad_norm: 11.6096 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5804 loss: 1.5804 2022/07/30 04:11:57 - mmengine - INFO - Epoch(train) [147][3560/3757] lr: 8.5481e-04 eta: 14:23:44 time: 0.4070 data_time: 0.0224 memory: 17006 grad_norm: 11.2634 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2991 loss: 1.2991 2022/07/30 04:12:07 - mmengine - INFO - Epoch(train) [147][3580/3757] lr: 8.5481e-04 eta: 14:23:36 time: 0.4550 data_time: 0.0211 memory: 17006 grad_norm: 10.4988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3131 loss: 1.3131 2022/07/30 04:12:15 - mmengine - INFO - Epoch(train) [147][3600/3757] lr: 8.5481e-04 eta: 14:23:28 time: 0.4056 data_time: 0.0216 memory: 17006 grad_norm: 10.8862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3516 loss: 1.3516 2022/07/30 04:12:23 - mmengine - INFO - Epoch(train) [147][3620/3757] lr: 8.5481e-04 eta: 14:23:19 time: 0.4222 data_time: 0.0239 memory: 17006 grad_norm: 10.7548 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3147 loss: 1.3147 2022/07/30 04:12:32 - mmengine - INFO - Epoch(train) [147][3640/3757] lr: 8.5481e-04 eta: 14:23:11 time: 0.4352 data_time: 0.0219 memory: 17006 grad_norm: 10.9213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1371 loss: 1.1371 2022/07/30 04:12:40 - mmengine - INFO - Epoch(train) [147][3660/3757] lr: 8.5481e-04 eta: 14:23:03 time: 0.4123 data_time: 0.0217 memory: 17006 grad_norm: 11.0067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/07/30 04:12:48 - mmengine - INFO - Epoch(train) [147][3680/3757] lr: 8.5481e-04 eta: 14:22:54 time: 0.4072 data_time: 0.0227 memory: 17006 grad_norm: 11.1278 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4325 loss: 1.4325 2022/07/30 04:12:57 - mmengine - INFO - Epoch(train) [147][3700/3757] lr: 8.5481e-04 eta: 14:22:46 time: 0.4070 data_time: 0.0206 memory: 17006 grad_norm: 11.3506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4296 loss: 1.4296 2022/07/30 04:13:05 - mmengine - INFO - Epoch(train) [147][3720/3757] lr: 8.5481e-04 eta: 14:22:37 time: 0.4196 data_time: 0.0234 memory: 17006 grad_norm: 10.7941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1562 loss: 1.1562 2022/07/30 04:13:14 - mmengine - INFO - Epoch(train) [147][3740/3757] lr: 8.5481e-04 eta: 14:22:29 time: 0.4276 data_time: 0.0211 memory: 17006 grad_norm: 11.1658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1843 loss: 1.1843 2022/07/30 04:13:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:13:21 - mmengine - INFO - Epoch(train) [147][3757/3757] lr: 8.5481e-04 eta: 14:22:29 time: 0.4108 data_time: 0.0236 memory: 17006 grad_norm: 10.9667 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.2399 loss: 1.2399 2022/07/30 04:13:21 - mmengine - INFO - Saving checkpoint at 147 epochs 2022/07/30 04:13:34 - mmengine - INFO - Epoch(train) [148][20/3757] lr: 8.0665e-04 eta: 14:22:07 time: 0.4400 data_time: 0.0578 memory: 17006 grad_norm: 11.0143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1724 loss: 1.1724 2022/07/30 04:13:43 - mmengine - INFO - Epoch(train) [148][40/3757] lr: 8.0665e-04 eta: 14:21:59 time: 0.4261 data_time: 0.0218 memory: 17006 grad_norm: 11.1914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2816 loss: 1.2816 2022/07/30 04:13:51 - mmengine - INFO - Epoch(train) [148][60/3757] lr: 8.0665e-04 eta: 14:21:50 time: 0.4062 data_time: 0.0215 memory: 17006 grad_norm: 10.9128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3187 loss: 1.3187 2022/07/30 04:13:59 - mmengine - INFO - Epoch(train) [148][80/3757] lr: 8.0665e-04 eta: 14:21:42 time: 0.4218 data_time: 0.0208 memory: 17006 grad_norm: 11.0504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4636 loss: 1.4636 2022/07/30 04:14:08 - mmengine - INFO - Epoch(train) [148][100/3757] lr: 8.0665e-04 eta: 14:21:34 time: 0.4285 data_time: 0.0229 memory: 17006 grad_norm: 10.8443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2264 loss: 1.2264 2022/07/30 04:14:16 - mmengine - INFO - Epoch(train) [148][120/3757] lr: 8.0665e-04 eta: 14:21:25 time: 0.4044 data_time: 0.0206 memory: 17006 grad_norm: 11.0353 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0943 loss: 1.0943 2022/07/30 04:14:26 - mmengine - INFO - Epoch(train) [148][140/3757] lr: 8.0665e-04 eta: 14:21:18 time: 0.4714 data_time: 0.0218 memory: 17006 grad_norm: 10.8463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4646 loss: 1.4646 2022/07/30 04:14:34 - mmengine - INFO - Epoch(train) [148][160/3757] lr: 8.0665e-04 eta: 14:21:09 time: 0.4039 data_time: 0.0205 memory: 17006 grad_norm: 10.6375 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2992 loss: 1.2992 2022/07/30 04:14:44 - mmengine - INFO - Epoch(train) [148][180/3757] lr: 8.0665e-04 eta: 14:21:03 time: 0.4957 data_time: 0.0229 memory: 17006 grad_norm: 10.7126 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1979 loss: 1.1979 2022/07/30 04:14:52 - mmengine - INFO - Epoch(train) [148][200/3757] lr: 8.0665e-04 eta: 14:20:54 time: 0.4088 data_time: 0.0217 memory: 17006 grad_norm: 11.0942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4370 loss: 1.4370 2022/07/30 04:15:01 - mmengine - INFO - Epoch(train) [148][220/3757] lr: 8.0665e-04 eta: 14:20:46 time: 0.4527 data_time: 0.0227 memory: 17006 grad_norm: 10.9436 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4581 loss: 1.4581 2022/07/30 04:15:09 - mmengine - INFO - Epoch(train) [148][240/3757] lr: 8.0665e-04 eta: 14:20:38 time: 0.4053 data_time: 0.0220 memory: 17006 grad_norm: 11.4037 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2716 loss: 1.2716 2022/07/30 04:15:17 - mmengine - INFO - Epoch(train) [148][260/3757] lr: 8.0665e-04 eta: 14:20:29 time: 0.4046 data_time: 0.0209 memory: 17006 grad_norm: 10.7994 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5284 loss: 1.5284 2022/07/30 04:15:26 - mmengine - INFO - Epoch(train) [148][280/3757] lr: 8.0665e-04 eta: 14:20:21 time: 0.4263 data_time: 0.0224 memory: 17006 grad_norm: 10.9420 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3672 loss: 1.3672 2022/07/30 04:15:34 - mmengine - INFO - Epoch(train) [148][300/3757] lr: 8.0665e-04 eta: 14:20:12 time: 0.4061 data_time: 0.0219 memory: 17006 grad_norm: 11.1479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3164 loss: 1.3164 2022/07/30 04:15:43 - mmengine - INFO - Epoch(train) [148][320/3757] lr: 8.0665e-04 eta: 14:20:05 time: 0.4408 data_time: 0.0237 memory: 17006 grad_norm: 10.6107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3822 loss: 1.3822 2022/07/30 04:15:51 - mmengine - INFO - Epoch(train) [148][340/3757] lr: 8.0665e-04 eta: 14:19:56 time: 0.4055 data_time: 0.0207 memory: 17006 grad_norm: 11.0096 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2120 loss: 1.2120 2022/07/30 04:15:59 - mmengine - INFO - Epoch(train) [148][360/3757] lr: 8.0665e-04 eta: 14:19:47 time: 0.4065 data_time: 0.0203 memory: 17006 grad_norm: 11.3372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3929 loss: 1.3929 2022/07/30 04:16:08 - mmengine - INFO - Epoch(train) [148][380/3757] lr: 8.0665e-04 eta: 14:19:40 time: 0.4436 data_time: 0.0224 memory: 17006 grad_norm: 10.9092 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2603 loss: 1.2603 2022/07/30 04:16:16 - mmengine - INFO - Epoch(train) [148][400/3757] lr: 8.0665e-04 eta: 14:19:31 time: 0.4075 data_time: 0.0220 memory: 17006 grad_norm: 10.7284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1324 loss: 1.1324 2022/07/30 04:16:25 - mmengine - INFO - Epoch(train) [148][420/3757] lr: 8.0665e-04 eta: 14:19:23 time: 0.4242 data_time: 0.0220 memory: 17006 grad_norm: 11.2785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2666 loss: 1.2666 2022/07/30 04:16:33 - mmengine - INFO - Epoch(train) [148][440/3757] lr: 8.0665e-04 eta: 14:19:14 time: 0.4068 data_time: 0.0220 memory: 17006 grad_norm: 10.8865 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/07/30 04:16:41 - mmengine - INFO - Epoch(train) [148][460/3757] lr: 8.0665e-04 eta: 14:19:06 time: 0.4249 data_time: 0.0228 memory: 17006 grad_norm: 10.7060 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3929 loss: 1.3929 2022/07/30 04:16:50 - mmengine - INFO - Epoch(train) [148][480/3757] lr: 8.0665e-04 eta: 14:18:58 time: 0.4084 data_time: 0.0226 memory: 17006 grad_norm: 10.9526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3094 loss: 1.3094 2022/07/30 04:16:58 - mmengine - INFO - Epoch(train) [148][500/3757] lr: 8.0665e-04 eta: 14:18:49 time: 0.4056 data_time: 0.0208 memory: 17006 grad_norm: 10.5539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/07/30 04:17:06 - mmengine - INFO - Epoch(train) [148][520/3757] lr: 8.0665e-04 eta: 14:18:41 time: 0.4218 data_time: 0.0269 memory: 17006 grad_norm: 11.3345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2347 loss: 1.2347 2022/07/30 04:17:14 - mmengine - INFO - Epoch(train) [148][540/3757] lr: 8.0665e-04 eta: 14:18:32 time: 0.4140 data_time: 0.0218 memory: 17006 grad_norm: 10.7926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9664 loss: 0.9664 2022/07/30 04:17:23 - mmengine - INFO - Epoch(train) [148][560/3757] lr: 8.0665e-04 eta: 14:18:24 time: 0.4131 data_time: 0.0232 memory: 17006 grad_norm: 10.7287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1147 loss: 1.1147 2022/07/30 04:17:31 - mmengine - INFO - Epoch(train) [148][580/3757] lr: 8.0665e-04 eta: 14:18:16 time: 0.4238 data_time: 0.0231 memory: 17006 grad_norm: 10.7544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3681 loss: 1.3681 2022/07/30 04:17:39 - mmengine - INFO - Epoch(train) [148][600/3757] lr: 8.0665e-04 eta: 14:18:07 time: 0.4049 data_time: 0.0201 memory: 17006 grad_norm: 10.6906 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1562 loss: 1.1562 2022/07/30 04:17:48 - mmengine - INFO - Epoch(train) [148][620/3757] lr: 8.0665e-04 eta: 14:17:59 time: 0.4126 data_time: 0.0260 memory: 17006 grad_norm: 10.9417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3201 loss: 1.3201 2022/07/30 04:17:56 - mmengine - INFO - Epoch(train) [148][640/3757] lr: 8.0665e-04 eta: 14:17:50 time: 0.4157 data_time: 0.0211 memory: 17006 grad_norm: 11.2511 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4097 loss: 1.4097 2022/07/30 04:18:04 - mmengine - INFO - Epoch(train) [148][660/3757] lr: 8.0665e-04 eta: 14:17:42 time: 0.4120 data_time: 0.0210 memory: 17006 grad_norm: 10.8488 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2111 loss: 1.2111 2022/07/30 04:18:13 - mmengine - INFO - Epoch(train) [148][680/3757] lr: 8.0665e-04 eta: 14:17:34 time: 0.4266 data_time: 0.0233 memory: 17006 grad_norm: 11.2280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/07/30 04:18:21 - mmengine - INFO - Epoch(train) [148][700/3757] lr: 8.0665e-04 eta: 14:17:25 time: 0.4213 data_time: 0.0213 memory: 17006 grad_norm: 11.6627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4612 loss: 1.4612 2022/07/30 04:18:29 - mmengine - INFO - Epoch(train) [148][720/3757] lr: 8.0665e-04 eta: 14:17:17 time: 0.4048 data_time: 0.0207 memory: 17006 grad_norm: 10.8682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1600 loss: 1.1600 2022/07/30 04:18:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:18:38 - mmengine - INFO - Epoch(train) [148][740/3757] lr: 8.0665e-04 eta: 14:17:08 time: 0.4169 data_time: 0.0290 memory: 17006 grad_norm: 11.0365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6356 loss: 1.6356 2022/07/30 04:18:46 - mmengine - INFO - Epoch(train) [148][760/3757] lr: 8.0665e-04 eta: 14:17:00 time: 0.4055 data_time: 0.0205 memory: 17006 grad_norm: 11.2494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5022 loss: 1.5022 2022/07/30 04:18:55 - mmengine - INFO - Epoch(train) [148][780/3757] lr: 8.0665e-04 eta: 14:16:52 time: 0.4565 data_time: 0.0236 memory: 17006 grad_norm: 11.2283 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3610 loss: 1.3610 2022/07/30 04:19:03 - mmengine - INFO - Epoch(train) [148][800/3757] lr: 8.0665e-04 eta: 14:16:44 time: 0.4173 data_time: 0.0212 memory: 17006 grad_norm: 10.7429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2005 loss: 1.2005 2022/07/30 04:19:13 - mmengine - INFO - Epoch(train) [148][820/3757] lr: 8.0665e-04 eta: 14:16:37 time: 0.4704 data_time: 0.0266 memory: 17006 grad_norm: 10.6180 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/07/30 04:19:21 - mmengine - INFO - Epoch(train) [148][840/3757] lr: 8.0665e-04 eta: 14:16:28 time: 0.4121 data_time: 0.0218 memory: 17006 grad_norm: 10.9531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2149 loss: 1.2149 2022/07/30 04:19:29 - mmengine - INFO - Epoch(train) [148][860/3757] lr: 8.0665e-04 eta: 14:16:20 time: 0.4072 data_time: 0.0213 memory: 17006 grad_norm: 11.4552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/07/30 04:19:39 - mmengine - INFO - Epoch(train) [148][880/3757] lr: 8.0665e-04 eta: 14:16:13 time: 0.4752 data_time: 0.0233 memory: 17006 grad_norm: 11.7144 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2681 loss: 1.2681 2022/07/30 04:19:47 - mmengine - INFO - Epoch(train) [148][900/3757] lr: 8.0665e-04 eta: 14:16:04 time: 0.4064 data_time: 0.0220 memory: 17006 grad_norm: 10.8281 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4563 loss: 1.4563 2022/07/30 04:19:56 - mmengine - INFO - Epoch(train) [148][920/3757] lr: 8.0665e-04 eta: 14:15:56 time: 0.4550 data_time: 0.0227 memory: 17006 grad_norm: 11.0116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4051 loss: 1.4051 2022/07/30 04:20:04 - mmengine - INFO - Epoch(train) [148][940/3757] lr: 8.0665e-04 eta: 14:15:48 time: 0.4066 data_time: 0.0214 memory: 17006 grad_norm: 11.6405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2477 loss: 1.2477 2022/07/30 04:20:13 - mmengine - INFO - Epoch(train) [148][960/3757] lr: 8.0665e-04 eta: 14:15:40 time: 0.4288 data_time: 0.0223 memory: 17006 grad_norm: 10.8676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2853 loss: 1.2853 2022/07/30 04:20:21 - mmengine - INFO - Epoch(train) [148][980/3757] lr: 8.0665e-04 eta: 14:15:31 time: 0.4147 data_time: 0.0212 memory: 17006 grad_norm: 11.3724 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2520 loss: 1.2520 2022/07/30 04:20:29 - mmengine - INFO - Epoch(train) [148][1000/3757] lr: 8.0665e-04 eta: 14:15:23 time: 0.4066 data_time: 0.0221 memory: 17006 grad_norm: 11.4657 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5681 loss: 1.5681 2022/07/30 04:20:38 - mmengine - INFO - Epoch(train) [148][1020/3757] lr: 8.0665e-04 eta: 14:15:15 time: 0.4188 data_time: 0.0222 memory: 17006 grad_norm: 11.4589 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1891 loss: 1.1891 2022/07/30 04:20:46 - mmengine - INFO - Epoch(train) [148][1040/3757] lr: 8.0665e-04 eta: 14:15:06 time: 0.4253 data_time: 0.0211 memory: 17006 grad_norm: 10.4210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3394 loss: 1.3394 2022/07/30 04:20:55 - mmengine - INFO - Epoch(train) [148][1060/3757] lr: 8.0665e-04 eta: 14:14:58 time: 0.4174 data_time: 0.0235 memory: 17006 grad_norm: 10.8680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6467 loss: 1.6467 2022/07/30 04:21:03 - mmengine - INFO - Epoch(train) [148][1080/3757] lr: 8.0665e-04 eta: 14:14:50 time: 0.4148 data_time: 0.0212 memory: 17006 grad_norm: 10.9444 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3924 loss: 1.3924 2022/07/30 04:21:11 - mmengine - INFO - Epoch(train) [148][1100/3757] lr: 8.0665e-04 eta: 14:14:41 time: 0.4128 data_time: 0.0233 memory: 17006 grad_norm: 11.5659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2482 loss: 1.2482 2022/07/30 04:21:19 - mmengine - INFO - Epoch(train) [148][1120/3757] lr: 8.0665e-04 eta: 14:14:33 time: 0.4056 data_time: 0.0202 memory: 17006 grad_norm: 10.9442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1534 loss: 1.1534 2022/07/30 04:21:28 - mmengine - INFO - Epoch(train) [148][1140/3757] lr: 8.0665e-04 eta: 14:14:24 time: 0.4190 data_time: 0.0212 memory: 17006 grad_norm: 11.2836 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4517 loss: 1.4517 2022/07/30 04:21:36 - mmengine - INFO - Epoch(train) [148][1160/3757] lr: 8.0665e-04 eta: 14:14:16 time: 0.4212 data_time: 0.0227 memory: 17006 grad_norm: 11.0055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0475 loss: 1.0475 2022/07/30 04:21:44 - mmengine - INFO - Epoch(train) [148][1180/3757] lr: 8.0665e-04 eta: 14:14:07 time: 0.4068 data_time: 0.0215 memory: 17006 grad_norm: 10.8518 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3061 loss: 1.3061 2022/07/30 04:21:53 - mmengine - INFO - Epoch(train) [148][1200/3757] lr: 8.0665e-04 eta: 14:13:59 time: 0.4346 data_time: 0.0234 memory: 17006 grad_norm: 11.0929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1707 loss: 1.1707 2022/07/30 04:22:02 - mmengine - INFO - Epoch(train) [148][1220/3757] lr: 8.0665e-04 eta: 14:13:51 time: 0.4159 data_time: 0.0211 memory: 17006 grad_norm: 11.0640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1496 loss: 1.1496 2022/07/30 04:22:10 - mmengine - INFO - Epoch(train) [148][1240/3757] lr: 8.0665e-04 eta: 14:13:43 time: 0.4074 data_time: 0.0221 memory: 17006 grad_norm: 10.7594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3424 loss: 1.3424 2022/07/30 04:22:18 - mmengine - INFO - Epoch(train) [148][1260/3757] lr: 8.0665e-04 eta: 14:13:34 time: 0.4203 data_time: 0.0228 memory: 17006 grad_norm: 11.2652 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1583 loss: 1.1583 2022/07/30 04:22:26 - mmengine - INFO - Epoch(train) [148][1280/3757] lr: 8.0665e-04 eta: 14:13:26 time: 0.4075 data_time: 0.0215 memory: 17006 grad_norm: 11.7684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4035 loss: 1.4035 2022/07/30 04:22:35 - mmengine - INFO - Epoch(train) [148][1300/3757] lr: 8.0665e-04 eta: 14:13:18 time: 0.4305 data_time: 0.0255 memory: 17006 grad_norm: 10.7365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4330 loss: 1.4330 2022/07/30 04:22:43 - mmengine - INFO - Epoch(train) [148][1320/3757] lr: 8.0665e-04 eta: 14:13:09 time: 0.4108 data_time: 0.0208 memory: 17006 grad_norm: 11.1718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0756 loss: 1.0756 2022/07/30 04:22:51 - mmengine - INFO - Epoch(train) [148][1340/3757] lr: 8.0665e-04 eta: 14:13:01 time: 0.4148 data_time: 0.0238 memory: 17006 grad_norm: 10.5800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4532 loss: 1.4532 2022/07/30 04:23:00 - mmengine - INFO - Epoch(train) [148][1360/3757] lr: 8.0665e-04 eta: 14:12:52 time: 0.4049 data_time: 0.0212 memory: 17006 grad_norm: 10.6283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/07/30 04:23:08 - mmengine - INFO - Epoch(train) [148][1380/3757] lr: 8.0665e-04 eta: 14:12:44 time: 0.4048 data_time: 0.0211 memory: 17006 grad_norm: 10.7458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2023 loss: 1.2023 2022/07/30 04:23:17 - mmengine - INFO - Epoch(train) [148][1400/3757] lr: 8.0665e-04 eta: 14:12:36 time: 0.4782 data_time: 0.0214 memory: 17006 grad_norm: 11.4880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1918 loss: 1.1918 2022/07/30 04:23:25 - mmengine - INFO - Epoch(train) [148][1420/3757] lr: 8.0665e-04 eta: 14:12:28 time: 0.4036 data_time: 0.0205 memory: 17006 grad_norm: 11.1645 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2662 loss: 1.2662 2022/07/30 04:23:35 - mmengine - INFO - Epoch(train) [148][1440/3757] lr: 8.0665e-04 eta: 14:12:20 time: 0.4545 data_time: 0.0225 memory: 17006 grad_norm: 11.1483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1732 loss: 1.1732 2022/07/30 04:23:43 - mmengine - INFO - Epoch(train) [148][1460/3757] lr: 8.0665e-04 eta: 14:12:12 time: 0.4043 data_time: 0.0207 memory: 17006 grad_norm: 10.5844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1867 loss: 1.1867 2022/07/30 04:23:51 - mmengine - INFO - Epoch(train) [148][1480/3757] lr: 8.0665e-04 eta: 14:12:03 time: 0.4246 data_time: 0.0233 memory: 17006 grad_norm: 10.9465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0785 loss: 1.0785 2022/07/30 04:23:59 - mmengine - INFO - Epoch(train) [148][1500/3757] lr: 8.0665e-04 eta: 14:11:55 time: 0.4048 data_time: 0.0209 memory: 17006 grad_norm: 11.3867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2988 loss: 1.2988 2022/07/30 04:24:08 - mmengine - INFO - Epoch(train) [148][1520/3757] lr: 8.0665e-04 eta: 14:11:46 time: 0.4097 data_time: 0.0210 memory: 17006 grad_norm: 10.9210 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2002 loss: 1.2002 2022/07/30 04:24:16 - mmengine - INFO - Epoch(train) [148][1540/3757] lr: 8.0665e-04 eta: 14:11:38 time: 0.4350 data_time: 0.0232 memory: 17006 grad_norm: 10.8487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2283 loss: 1.2283 2022/07/30 04:24:25 - mmengine - INFO - Epoch(train) [148][1560/3757] lr: 8.0665e-04 eta: 14:11:30 time: 0.4158 data_time: 0.0219 memory: 17006 grad_norm: 10.4142 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2104 loss: 1.2104 2022/07/30 04:24:33 - mmengine - INFO - Epoch(train) [148][1580/3757] lr: 8.0665e-04 eta: 14:11:21 time: 0.4123 data_time: 0.0214 memory: 17006 grad_norm: 10.8229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1703 loss: 1.1703 2022/07/30 04:24:41 - mmengine - INFO - Epoch(train) [148][1600/3757] lr: 8.0665e-04 eta: 14:11:13 time: 0.4102 data_time: 0.0221 memory: 17006 grad_norm: 10.9311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2739 loss: 1.2739 2022/07/30 04:24:49 - mmengine - INFO - Epoch(train) [148][1620/3757] lr: 8.0665e-04 eta: 14:11:04 time: 0.4056 data_time: 0.0211 memory: 17006 grad_norm: 10.7456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0851 loss: 1.0851 2022/07/30 04:24:57 - mmengine - INFO - Epoch(train) [148][1640/3757] lr: 8.0665e-04 eta: 14:10:56 time: 0.4060 data_time: 0.0208 memory: 17006 grad_norm: 11.5884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3900 loss: 1.3900 2022/07/30 04:25:06 - mmengine - INFO - Epoch(train) [148][1660/3757] lr: 8.0665e-04 eta: 14:10:47 time: 0.4107 data_time: 0.0214 memory: 17006 grad_norm: 11.1906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5337 loss: 1.5337 2022/07/30 04:25:14 - mmengine - INFO - Epoch(train) [148][1680/3757] lr: 8.0665e-04 eta: 14:10:39 time: 0.4217 data_time: 0.0210 memory: 17006 grad_norm: 11.2560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0377 loss: 1.0377 2022/07/30 04:25:23 - mmengine - INFO - Epoch(train) [148][1700/3757] lr: 8.0665e-04 eta: 14:10:31 time: 0.4268 data_time: 0.0222 memory: 17006 grad_norm: 11.3183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4941 loss: 1.4941 2022/07/30 04:25:31 - mmengine - INFO - Epoch(train) [148][1720/3757] lr: 8.0665e-04 eta: 14:10:22 time: 0.4121 data_time: 0.0204 memory: 17006 grad_norm: 10.9573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1080 loss: 1.1080 2022/07/30 04:25:31 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:25:39 - mmengine - INFO - Epoch(train) [148][1740/3757] lr: 8.0665e-04 eta: 14:10:14 time: 0.4080 data_time: 0.0202 memory: 17006 grad_norm: 11.0588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1822 loss: 1.1822 2022/07/30 04:25:48 - mmengine - INFO - Epoch(train) [148][1760/3757] lr: 8.0665e-04 eta: 14:10:06 time: 0.4269 data_time: 0.0236 memory: 17006 grad_norm: 11.1711 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1243 loss: 1.1243 2022/07/30 04:25:56 - mmengine - INFO - Epoch(train) [148][1780/3757] lr: 8.0665e-04 eta: 14:09:58 time: 0.4291 data_time: 0.0213 memory: 17006 grad_norm: 11.0439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2840 loss: 1.2840 2022/07/30 04:26:05 - mmengine - INFO - Epoch(train) [148][1800/3757] lr: 8.0665e-04 eta: 14:09:49 time: 0.4133 data_time: 0.0232 memory: 17006 grad_norm: 11.1952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3527 loss: 1.3527 2022/07/30 04:26:13 - mmengine - INFO - Epoch(train) [148][1820/3757] lr: 8.0665e-04 eta: 14:09:41 time: 0.4134 data_time: 0.0205 memory: 17006 grad_norm: 10.7241 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3333 loss: 1.3333 2022/07/30 04:26:21 - mmengine - INFO - Epoch(train) [148][1840/3757] lr: 8.0665e-04 eta: 14:09:32 time: 0.4105 data_time: 0.0221 memory: 17006 grad_norm: 10.7767 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2899 loss: 1.2899 2022/07/30 04:26:29 - mmengine - INFO - Epoch(train) [148][1860/3757] lr: 8.0665e-04 eta: 14:09:24 time: 0.4039 data_time: 0.0207 memory: 17006 grad_norm: 11.2738 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4183 loss: 1.4183 2022/07/30 04:26:38 - mmengine - INFO - Epoch(train) [148][1880/3757] lr: 8.0665e-04 eta: 14:09:16 time: 0.4250 data_time: 0.0231 memory: 17006 grad_norm: 11.4982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4420 loss: 1.4420 2022/07/30 04:26:46 - mmengine - INFO - Epoch(train) [148][1900/3757] lr: 8.0665e-04 eta: 14:09:07 time: 0.4048 data_time: 0.0213 memory: 17006 grad_norm: 10.6481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2201 loss: 1.2201 2022/07/30 04:26:55 - mmengine - INFO - Epoch(train) [148][1920/3757] lr: 8.0665e-04 eta: 14:08:59 time: 0.4457 data_time: 0.0247 memory: 17006 grad_norm: 11.0849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0985 loss: 1.0985 2022/07/30 04:27:03 - mmengine - INFO - Epoch(train) [148][1940/3757] lr: 8.0665e-04 eta: 14:08:51 time: 0.4062 data_time: 0.0210 memory: 17006 grad_norm: 10.8062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2799 loss: 1.2799 2022/07/30 04:27:13 - mmengine - INFO - Epoch(train) [148][1960/3757] lr: 8.0665e-04 eta: 14:08:44 time: 0.4804 data_time: 0.0239 memory: 17006 grad_norm: 11.1569 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4406 loss: 1.4406 2022/07/30 04:27:21 - mmengine - INFO - Epoch(train) [148][1980/3757] lr: 8.0665e-04 eta: 14:08:35 time: 0.4069 data_time: 0.0216 memory: 17006 grad_norm: 11.2384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3478 loss: 1.3478 2022/07/30 04:27:29 - mmengine - INFO - Epoch(train) [148][2000/3757] lr: 8.0665e-04 eta: 14:08:26 time: 0.4055 data_time: 0.0217 memory: 17006 grad_norm: 10.9714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3357 loss: 1.3357 2022/07/30 04:27:37 - mmengine - INFO - Epoch(train) [148][2020/3757] lr: 8.0665e-04 eta: 14:08:18 time: 0.4271 data_time: 0.0224 memory: 17006 grad_norm: 11.0856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4377 loss: 1.4377 2022/07/30 04:27:46 - mmengine - INFO - Epoch(train) [148][2040/3757] lr: 8.0665e-04 eta: 14:08:10 time: 0.4050 data_time: 0.0215 memory: 17006 grad_norm: 10.8896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3334 loss: 1.3334 2022/07/30 04:27:54 - mmengine - INFO - Epoch(train) [148][2060/3757] lr: 8.0665e-04 eta: 14:08:01 time: 0.4162 data_time: 0.0230 memory: 17006 grad_norm: 11.0617 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2969 loss: 1.2969 2022/07/30 04:28:02 - mmengine - INFO - Epoch(train) [148][2080/3757] lr: 8.0665e-04 eta: 14:07:53 time: 0.4104 data_time: 0.0206 memory: 17006 grad_norm: 10.9800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2083 loss: 1.2083 2022/07/30 04:28:10 - mmengine - INFO - Epoch(train) [148][2100/3757] lr: 8.0665e-04 eta: 14:07:44 time: 0.4047 data_time: 0.0209 memory: 17006 grad_norm: 11.2939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5281 loss: 1.5281 2022/07/30 04:28:19 - mmengine - INFO - Epoch(train) [148][2120/3757] lr: 8.0665e-04 eta: 14:07:36 time: 0.4157 data_time: 0.0226 memory: 17006 grad_norm: 10.9675 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2696 loss: 1.2696 2022/07/30 04:28:27 - mmengine - INFO - Epoch(train) [148][2140/3757] lr: 8.0665e-04 eta: 14:07:27 time: 0.4176 data_time: 0.0210 memory: 17006 grad_norm: 11.2223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3698 loss: 1.3698 2022/07/30 04:28:36 - mmengine - INFO - Epoch(train) [148][2160/3757] lr: 8.0665e-04 eta: 14:07:19 time: 0.4252 data_time: 0.0232 memory: 17006 grad_norm: 11.3179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2790 loss: 1.2790 2022/07/30 04:28:44 - mmengine - INFO - Epoch(train) [148][2180/3757] lr: 8.0665e-04 eta: 14:07:11 time: 0.4201 data_time: 0.0212 memory: 17006 grad_norm: 11.2217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6029 loss: 1.6029 2022/07/30 04:28:53 - mmengine - INFO - Epoch(train) [148][2200/3757] lr: 8.0665e-04 eta: 14:07:03 time: 0.4274 data_time: 0.0268 memory: 17006 grad_norm: 10.8146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4256 loss: 1.4256 2022/07/30 04:29:01 - mmengine - INFO - Epoch(train) [148][2220/3757] lr: 8.0665e-04 eta: 14:06:54 time: 0.4071 data_time: 0.0222 memory: 17006 grad_norm: 11.2145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1644 loss: 1.1644 2022/07/30 04:29:09 - mmengine - INFO - Epoch(train) [148][2240/3757] lr: 8.0665e-04 eta: 14:06:46 time: 0.4048 data_time: 0.0211 memory: 17006 grad_norm: 10.7408 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3552 loss: 1.3552 2022/07/30 04:29:18 - mmengine - INFO - Epoch(train) [148][2260/3757] lr: 8.0665e-04 eta: 14:06:38 time: 0.4371 data_time: 0.0215 memory: 17006 grad_norm: 10.7425 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2404 loss: 1.2404 2022/07/30 04:29:26 - mmengine - INFO - Epoch(train) [148][2280/3757] lr: 8.0665e-04 eta: 14:06:29 time: 0.4069 data_time: 0.0213 memory: 17006 grad_norm: 11.5083 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3525 loss: 1.3525 2022/07/30 04:29:35 - mmengine - INFO - Epoch(train) [148][2300/3757] lr: 8.0665e-04 eta: 14:06:21 time: 0.4360 data_time: 0.0236 memory: 17006 grad_norm: 10.7509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4725 loss: 1.4725 2022/07/30 04:29:43 - mmengine - INFO - Epoch(train) [148][2320/3757] lr: 8.0665e-04 eta: 14:06:13 time: 0.4319 data_time: 0.0219 memory: 17006 grad_norm: 11.0934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3798 loss: 1.3798 2022/07/30 04:29:52 - mmengine - INFO - Epoch(train) [148][2340/3757] lr: 8.0665e-04 eta: 14:06:05 time: 0.4206 data_time: 0.0229 memory: 17006 grad_norm: 11.3789 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3158 loss: 1.3158 2022/07/30 04:30:00 - mmengine - INFO - Epoch(train) [148][2360/3757] lr: 8.0665e-04 eta: 14:05:56 time: 0.4055 data_time: 0.0207 memory: 17006 grad_norm: 11.0892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3843 loss: 1.3843 2022/07/30 04:30:09 - mmengine - INFO - Epoch(train) [148][2380/3757] lr: 8.0665e-04 eta: 14:05:48 time: 0.4349 data_time: 0.0218 memory: 17006 grad_norm: 11.4919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/07/30 04:30:17 - mmengine - INFO - Epoch(train) [148][2400/3757] lr: 8.0665e-04 eta: 14:05:40 time: 0.4285 data_time: 0.0231 memory: 17006 grad_norm: 11.2739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/07/30 04:30:26 - mmengine - INFO - Epoch(train) [148][2420/3757] lr: 8.0665e-04 eta: 14:05:32 time: 0.4446 data_time: 0.0214 memory: 17006 grad_norm: 11.1556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3049 loss: 1.3049 2022/07/30 04:30:34 - mmengine - INFO - Epoch(train) [148][2440/3757] lr: 8.0665e-04 eta: 14:05:24 time: 0.4234 data_time: 0.0229 memory: 17006 grad_norm: 11.1821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4790 loss: 1.4790 2022/07/30 04:30:43 - mmengine - INFO - Epoch(train) [148][2460/3757] lr: 8.0665e-04 eta: 14:05:16 time: 0.4106 data_time: 0.0252 memory: 17006 grad_norm: 11.1965 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1341 loss: 1.1341 2022/07/30 04:30:52 - mmengine - INFO - Epoch(train) [148][2480/3757] lr: 8.0665e-04 eta: 14:05:08 time: 0.4441 data_time: 0.0213 memory: 17006 grad_norm: 11.1424 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0642 loss: 1.0642 2022/07/30 04:31:00 - mmengine - INFO - Epoch(train) [148][2500/3757] lr: 8.0665e-04 eta: 14:04:59 time: 0.4063 data_time: 0.0191 memory: 17006 grad_norm: 11.3528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2256 loss: 1.2256 2022/07/30 04:31:08 - mmengine - INFO - Epoch(train) [148][2520/3757] lr: 8.0665e-04 eta: 14:04:51 time: 0.4136 data_time: 0.0229 memory: 17006 grad_norm: 11.2237 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1690 loss: 1.1690 2022/07/30 04:31:17 - mmengine - INFO - Epoch(train) [148][2540/3757] lr: 8.0665e-04 eta: 14:04:43 time: 0.4205 data_time: 0.0214 memory: 17006 grad_norm: 10.7617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1881 loss: 1.1881 2022/07/30 04:31:25 - mmengine - INFO - Epoch(train) [148][2560/3757] lr: 8.0665e-04 eta: 14:04:34 time: 0.4128 data_time: 0.0216 memory: 17006 grad_norm: 11.1985 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/07/30 04:31:33 - mmengine - INFO - Epoch(train) [148][2580/3757] lr: 8.0665e-04 eta: 14:04:26 time: 0.4148 data_time: 0.0209 memory: 17006 grad_norm: 11.2556 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3944 loss: 1.3944 2022/07/30 04:31:41 - mmengine - INFO - Epoch(train) [148][2600/3757] lr: 8.0665e-04 eta: 14:04:17 time: 0.4078 data_time: 0.0209 memory: 17006 grad_norm: 12.1178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4885 loss: 1.4885 2022/07/30 04:31:49 - mmengine - INFO - Epoch(train) [148][2620/3757] lr: 8.0665e-04 eta: 14:04:09 time: 0.4052 data_time: 0.0213 memory: 17006 grad_norm: 10.4565 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2380 loss: 1.2380 2022/07/30 04:31:58 - mmengine - INFO - Epoch(train) [148][2640/3757] lr: 8.0665e-04 eta: 14:04:00 time: 0.4269 data_time: 0.0233 memory: 17006 grad_norm: 11.4375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6209 loss: 1.6209 2022/07/30 04:32:06 - mmengine - INFO - Epoch(train) [148][2660/3757] lr: 8.0665e-04 eta: 14:03:52 time: 0.4077 data_time: 0.0223 memory: 17006 grad_norm: 11.6132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2892 loss: 1.2892 2022/07/30 04:32:15 - mmengine - INFO - Epoch(train) [148][2680/3757] lr: 8.0665e-04 eta: 14:03:44 time: 0.4260 data_time: 0.0231 memory: 17006 grad_norm: 11.2549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1693 loss: 1.1693 2022/07/30 04:32:23 - mmengine - INFO - Epoch(train) [148][2700/3757] lr: 8.0665e-04 eta: 14:03:35 time: 0.4073 data_time: 0.0218 memory: 17006 grad_norm: 11.2822 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3557 loss: 1.3557 2022/07/30 04:32:32 - mmengine - INFO - Epoch(train) [148][2720/3757] lr: 8.0665e-04 eta: 14:03:27 time: 0.4311 data_time: 0.0220 memory: 17006 grad_norm: 11.1544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3042 loss: 1.3042 2022/07/30 04:32:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:32:40 - mmengine - INFO - Epoch(train) [148][2740/3757] lr: 8.0665e-04 eta: 14:03:19 time: 0.4065 data_time: 0.0195 memory: 17006 grad_norm: 11.3256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5503 loss: 1.5503 2022/07/30 04:32:48 - mmengine - INFO - Epoch(train) [148][2760/3757] lr: 8.0665e-04 eta: 14:03:10 time: 0.4056 data_time: 0.0214 memory: 17006 grad_norm: 11.3104 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3743 loss: 1.3743 2022/07/30 04:32:56 - mmengine - INFO - Epoch(train) [148][2780/3757] lr: 8.0665e-04 eta: 14:03:02 time: 0.4250 data_time: 0.0230 memory: 17006 grad_norm: 10.9865 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2606 loss: 1.2606 2022/07/30 04:33:05 - mmengine - INFO - Epoch(train) [148][2800/3757] lr: 8.0665e-04 eta: 14:02:53 time: 0.4089 data_time: 0.0222 memory: 17006 grad_norm: 10.7837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/07/30 04:33:13 - mmengine - INFO - Epoch(train) [148][2820/3757] lr: 8.0665e-04 eta: 14:02:45 time: 0.4287 data_time: 0.0228 memory: 17006 grad_norm: 11.0350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2288 loss: 1.2288 2022/07/30 04:33:21 - mmengine - INFO - Epoch(train) [148][2840/3757] lr: 8.0665e-04 eta: 14:02:37 time: 0.4090 data_time: 0.0215 memory: 17006 grad_norm: 10.5622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4097 loss: 1.4097 2022/07/30 04:33:30 - mmengine - INFO - Epoch(train) [148][2860/3757] lr: 8.0665e-04 eta: 14:02:28 time: 0.4058 data_time: 0.0214 memory: 17006 grad_norm: 10.9508 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5269 loss: 1.5269 2022/07/30 04:33:38 - mmengine - INFO - Epoch(train) [148][2880/3757] lr: 8.0665e-04 eta: 14:02:20 time: 0.4189 data_time: 0.0219 memory: 17006 grad_norm: 10.4521 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1641 loss: 1.1641 2022/07/30 04:33:46 - mmengine - INFO - Epoch(train) [148][2900/3757] lr: 8.0665e-04 eta: 14:02:11 time: 0.4069 data_time: 0.0223 memory: 17006 grad_norm: 11.8828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2810 loss: 1.2810 2022/07/30 04:33:55 - mmengine - INFO - Epoch(train) [148][2920/3757] lr: 8.0665e-04 eta: 14:02:03 time: 0.4280 data_time: 0.0218 memory: 17006 grad_norm: 10.8230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1044 loss: 1.1044 2022/07/30 04:34:03 - mmengine - INFO - Epoch(train) [148][2940/3757] lr: 8.0665e-04 eta: 14:01:55 time: 0.4077 data_time: 0.0225 memory: 17006 grad_norm: 10.6198 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2840 loss: 1.2840 2022/07/30 04:34:11 - mmengine - INFO - Epoch(train) [148][2960/3757] lr: 8.0665e-04 eta: 14:01:46 time: 0.4090 data_time: 0.0218 memory: 17006 grad_norm: 10.9093 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2400 loss: 1.2400 2022/07/30 04:34:19 - mmengine - INFO - Epoch(train) [148][2980/3757] lr: 8.0665e-04 eta: 14:01:38 time: 0.4095 data_time: 0.0200 memory: 17006 grad_norm: 11.0363 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2256 loss: 1.2256 2022/07/30 04:34:27 - mmengine - INFO - Epoch(train) [148][3000/3757] lr: 8.0665e-04 eta: 14:01:29 time: 0.4057 data_time: 0.0203 memory: 17006 grad_norm: 10.5762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3095 loss: 1.3095 2022/07/30 04:34:36 - mmengine - INFO - Epoch(train) [148][3020/3757] lr: 8.0665e-04 eta: 14:01:21 time: 0.4275 data_time: 0.0227 memory: 17006 grad_norm: 10.9133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2614 loss: 1.2614 2022/07/30 04:34:44 - mmengine - INFO - Epoch(train) [148][3040/3757] lr: 8.0665e-04 eta: 14:01:12 time: 0.4064 data_time: 0.0212 memory: 17006 grad_norm: 10.7241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2294 loss: 1.2294 2022/07/30 04:34:53 - mmengine - INFO - Epoch(train) [148][3060/3757] lr: 8.0665e-04 eta: 14:01:04 time: 0.4404 data_time: 0.0241 memory: 17006 grad_norm: 11.5228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3611 loss: 1.3611 2022/07/30 04:35:01 - mmengine - INFO - Epoch(train) [148][3080/3757] lr: 8.0665e-04 eta: 14:00:56 time: 0.4052 data_time: 0.0208 memory: 17006 grad_norm: 11.3301 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3478 loss: 1.3478 2022/07/30 04:35:10 - mmengine - INFO - Epoch(train) [148][3100/3757] lr: 8.0665e-04 eta: 14:00:48 time: 0.4229 data_time: 0.0213 memory: 17006 grad_norm: 11.1984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2537 loss: 1.2537 2022/07/30 04:35:18 - mmengine - INFO - Epoch(train) [148][3120/3757] lr: 8.0665e-04 eta: 14:00:39 time: 0.4153 data_time: 0.0230 memory: 17006 grad_norm: 11.2782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/07/30 04:35:26 - mmengine - INFO - Epoch(train) [148][3140/3757] lr: 8.0665e-04 eta: 14:00:31 time: 0.4129 data_time: 0.0220 memory: 17006 grad_norm: 11.8363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5307 loss: 1.5307 2022/07/30 04:35:35 - mmengine - INFO - Epoch(train) [148][3160/3757] lr: 8.0665e-04 eta: 14:00:22 time: 0.4166 data_time: 0.0246 memory: 17006 grad_norm: 10.5973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3234 loss: 1.3234 2022/07/30 04:35:43 - mmengine - INFO - Epoch(train) [148][3180/3757] lr: 8.0665e-04 eta: 14:00:14 time: 0.4153 data_time: 0.0220 memory: 17006 grad_norm: 11.0753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5408 loss: 1.5408 2022/07/30 04:35:51 - mmengine - INFO - Epoch(train) [148][3200/3757] lr: 8.0665e-04 eta: 14:00:05 time: 0.4058 data_time: 0.0214 memory: 17006 grad_norm: 10.7826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1955 loss: 1.1955 2022/07/30 04:36:00 - mmengine - INFO - Epoch(train) [148][3220/3757] lr: 8.0665e-04 eta: 13:59:57 time: 0.4188 data_time: 0.0337 memory: 17006 grad_norm: 11.0689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5703 loss: 1.5703 2022/07/30 04:36:08 - mmengine - INFO - Epoch(train) [148][3240/3757] lr: 8.0665e-04 eta: 13:59:49 time: 0.4125 data_time: 0.0216 memory: 17006 grad_norm: 10.7318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2549 loss: 1.2549 2022/07/30 04:36:16 - mmengine - INFO - Epoch(train) [148][3260/3757] lr: 8.0665e-04 eta: 13:59:41 time: 0.4312 data_time: 0.0229 memory: 17006 grad_norm: 10.9163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3570 loss: 1.3570 2022/07/30 04:36:25 - mmengine - INFO - Epoch(train) [148][3280/3757] lr: 8.0665e-04 eta: 13:59:32 time: 0.4153 data_time: 0.0213 memory: 17006 grad_norm: 11.5546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4300 loss: 1.4300 2022/07/30 04:36:33 - mmengine - INFO - Epoch(train) [148][3300/3757] lr: 8.0665e-04 eta: 13:59:24 time: 0.4056 data_time: 0.0194 memory: 17006 grad_norm: 11.2557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4173 loss: 1.4173 2022/07/30 04:36:41 - mmengine - INFO - Epoch(train) [148][3320/3757] lr: 8.0665e-04 eta: 13:59:15 time: 0.4042 data_time: 0.0202 memory: 17006 grad_norm: 11.1029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0045 loss: 1.0045 2022/07/30 04:36:50 - mmengine - INFO - Epoch(train) [148][3340/3757] lr: 8.0665e-04 eta: 13:59:07 time: 0.4513 data_time: 0.0228 memory: 17006 grad_norm: 11.4601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2753 loss: 1.2753 2022/07/30 04:36:58 - mmengine - INFO - Epoch(train) [148][3360/3757] lr: 8.0665e-04 eta: 13:58:59 time: 0.4053 data_time: 0.0210 memory: 17006 grad_norm: 11.3727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3717 loss: 1.3717 2022/07/30 04:37:07 - mmengine - INFO - Epoch(train) [148][3380/3757] lr: 8.0665e-04 eta: 13:58:51 time: 0.4465 data_time: 0.0251 memory: 17006 grad_norm: 11.2007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0278 loss: 1.0278 2022/07/30 04:37:15 - mmengine - INFO - Epoch(train) [148][3400/3757] lr: 8.0665e-04 eta: 13:58:42 time: 0.4041 data_time: 0.0214 memory: 17006 grad_norm: 10.7530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/07/30 04:37:25 - mmengine - INFO - Epoch(train) [148][3420/3757] lr: 8.0665e-04 eta: 13:58:35 time: 0.4604 data_time: 0.0235 memory: 17006 grad_norm: 11.2063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/07/30 04:37:33 - mmengine - INFO - Epoch(train) [148][3440/3757] lr: 8.0665e-04 eta: 13:58:26 time: 0.4049 data_time: 0.0206 memory: 17006 grad_norm: 11.8053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4357 loss: 1.4357 2022/07/30 04:37:41 - mmengine - INFO - Epoch(train) [148][3460/3757] lr: 8.0665e-04 eta: 13:58:18 time: 0.4063 data_time: 0.0219 memory: 17006 grad_norm: 10.9991 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/07/30 04:37:49 - mmengine - INFO - Epoch(train) [148][3480/3757] lr: 8.0665e-04 eta: 13:58:09 time: 0.4204 data_time: 0.0223 memory: 17006 grad_norm: 10.7313 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9893 loss: 0.9893 2022/07/30 04:37:57 - mmengine - INFO - Epoch(train) [148][3500/3757] lr: 8.0665e-04 eta: 13:58:01 time: 0.4058 data_time: 0.0196 memory: 17006 grad_norm: 11.3134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2947 loss: 1.2947 2022/07/30 04:38:06 - mmengine - INFO - Epoch(train) [148][3520/3757] lr: 8.0665e-04 eta: 13:57:53 time: 0.4548 data_time: 0.0212 memory: 17006 grad_norm: 10.7906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2309 loss: 1.2309 2022/07/30 04:38:15 - mmengine - INFO - Epoch(train) [148][3540/3757] lr: 8.0665e-04 eta: 13:57:45 time: 0.4056 data_time: 0.0206 memory: 17006 grad_norm: 11.6066 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5589 loss: 1.5589 2022/07/30 04:38:23 - mmengine - INFO - Epoch(train) [148][3560/3757] lr: 8.0665e-04 eta: 13:57:37 time: 0.4295 data_time: 0.0244 memory: 17006 grad_norm: 11.3008 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3973 loss: 1.3973 2022/07/30 04:38:31 - mmengine - INFO - Epoch(train) [148][3580/3757] lr: 8.0665e-04 eta: 13:57:28 time: 0.4042 data_time: 0.0201 memory: 17006 grad_norm: 11.1332 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5317 loss: 1.5317 2022/07/30 04:38:40 - mmengine - INFO - Epoch(train) [148][3600/3757] lr: 8.0665e-04 eta: 13:57:20 time: 0.4287 data_time: 0.0204 memory: 17006 grad_norm: 11.2549 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9339 loss: 0.9339 2022/07/30 04:38:49 - mmengine - INFO - Epoch(train) [148][3620/3757] lr: 8.0665e-04 eta: 13:57:12 time: 0.4357 data_time: 0.0241 memory: 17006 grad_norm: 11.1936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2938 loss: 1.2938 2022/07/30 04:38:57 - mmengine - INFO - Epoch(train) [148][3640/3757] lr: 8.0665e-04 eta: 13:57:04 time: 0.4355 data_time: 0.0203 memory: 17006 grad_norm: 11.2007 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4185 loss: 1.4185 2022/07/30 04:39:06 - mmengine - INFO - Epoch(train) [148][3660/3757] lr: 8.0665e-04 eta: 13:56:55 time: 0.4135 data_time: 0.0222 memory: 17006 grad_norm: 11.6311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2435 loss: 1.2435 2022/07/30 04:39:14 - mmengine - INFO - Epoch(train) [148][3680/3757] lr: 8.0665e-04 eta: 13:56:47 time: 0.4055 data_time: 0.0205 memory: 17006 grad_norm: 11.1259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4723 loss: 1.4723 2022/07/30 04:39:23 - mmengine - INFO - Epoch(train) [148][3700/3757] lr: 8.0665e-04 eta: 13:56:39 time: 0.4471 data_time: 0.0246 memory: 17006 grad_norm: 11.0442 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2867 loss: 1.2867 2022/07/30 04:39:31 - mmengine - INFO - Epoch(train) [148][3720/3757] lr: 8.0665e-04 eta: 13:56:30 time: 0.4037 data_time: 0.0196 memory: 17006 grad_norm: 10.7914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4716 loss: 1.4716 2022/07/30 04:39:31 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:39:39 - mmengine - INFO - Epoch(train) [148][3740/3757] lr: 8.0665e-04 eta: 13:56:22 time: 0.4190 data_time: 0.0209 memory: 17006 grad_norm: 11.1751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2347 loss: 1.2347 2022/07/30 04:39:46 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:39:46 - mmengine - INFO - Epoch(train) [148][3757/3757] lr: 8.0665e-04 eta: 13:56:22 time: 0.4136 data_time: 0.0220 memory: 17006 grad_norm: 11.8158 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3814 loss: 1.3814 2022/07/30 04:39:47 - mmengine - INFO - Saving checkpoint at 148 epochs 2022/07/30 04:40:01 - mmengine - INFO - Epoch(train) [149][20/3757] lr: 7.5976e-04 eta: 13:56:01 time: 0.4771 data_time: 0.0889 memory: 17006 grad_norm: 10.8653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/07/30 04:40:10 - mmengine - INFO - Epoch(train) [149][40/3757] lr: 7.5976e-04 eta: 13:55:53 time: 0.4416 data_time: 0.0266 memory: 17006 grad_norm: 10.8241 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3332 loss: 1.3332 2022/07/30 04:40:18 - mmengine - INFO - Epoch(train) [149][60/3757] lr: 7.5976e-04 eta: 13:55:44 time: 0.4053 data_time: 0.0205 memory: 17006 grad_norm: 11.1261 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2899 loss: 1.2899 2022/07/30 04:40:27 - mmengine - INFO - Epoch(train) [149][80/3757] lr: 7.5976e-04 eta: 13:55:36 time: 0.4302 data_time: 0.0239 memory: 17006 grad_norm: 11.1473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3010 loss: 1.3010 2022/07/30 04:40:35 - mmengine - INFO - Epoch(train) [149][100/3757] lr: 7.5976e-04 eta: 13:55:28 time: 0.4046 data_time: 0.0186 memory: 17006 grad_norm: 10.8046 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2496 loss: 1.2496 2022/07/30 04:40:44 - mmengine - INFO - Epoch(train) [149][120/3757] lr: 7.5976e-04 eta: 13:55:20 time: 0.4527 data_time: 0.0234 memory: 17006 grad_norm: 11.5219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0259 loss: 1.0259 2022/07/30 04:40:52 - mmengine - INFO - Epoch(train) [149][140/3757] lr: 7.5976e-04 eta: 13:55:11 time: 0.4053 data_time: 0.0213 memory: 17006 grad_norm: 11.3572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2756 loss: 1.2756 2022/07/30 04:41:00 - mmengine - INFO - Epoch(train) [149][160/3757] lr: 7.5976e-04 eta: 13:55:03 time: 0.4067 data_time: 0.0220 memory: 17006 grad_norm: 10.9481 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/07/30 04:41:09 - mmengine - INFO - Epoch(train) [149][180/3757] lr: 7.5976e-04 eta: 13:54:55 time: 0.4412 data_time: 0.0210 memory: 17006 grad_norm: 11.1996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2450 loss: 1.2450 2022/07/30 04:41:17 - mmengine - INFO - Epoch(train) [149][200/3757] lr: 7.5976e-04 eta: 13:54:47 time: 0.4089 data_time: 0.0214 memory: 17006 grad_norm: 10.9487 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1651 loss: 1.1651 2022/07/30 04:41:26 - mmengine - INFO - Epoch(train) [149][220/3757] lr: 7.5976e-04 eta: 13:54:39 time: 0.4404 data_time: 0.0236 memory: 17006 grad_norm: 11.1065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2895 loss: 1.2895 2022/07/30 04:41:34 - mmengine - INFO - Epoch(train) [149][240/3757] lr: 7.5976e-04 eta: 13:54:30 time: 0.4059 data_time: 0.0218 memory: 17006 grad_norm: 11.3681 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2212 loss: 1.2212 2022/07/30 04:41:43 - mmengine - INFO - Epoch(train) [149][260/3757] lr: 7.5976e-04 eta: 13:54:22 time: 0.4178 data_time: 0.0200 memory: 17006 grad_norm: 11.4329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2913 loss: 1.2913 2022/07/30 04:41:51 - mmengine - INFO - Epoch(train) [149][280/3757] lr: 7.5976e-04 eta: 13:54:13 time: 0.4073 data_time: 0.0228 memory: 17006 grad_norm: 10.9115 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4743 loss: 1.4743 2022/07/30 04:41:59 - mmengine - INFO - Epoch(train) [149][300/3757] lr: 7.5976e-04 eta: 13:54:05 time: 0.4077 data_time: 0.0200 memory: 17006 grad_norm: 11.0398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4032 loss: 1.4032 2022/07/30 04:42:08 - mmengine - INFO - Epoch(train) [149][320/3757] lr: 7.5976e-04 eta: 13:53:56 time: 0.4280 data_time: 0.0222 memory: 17006 grad_norm: 11.0772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/07/30 04:42:16 - mmengine - INFO - Epoch(train) [149][340/3757] lr: 7.5976e-04 eta: 13:53:48 time: 0.4082 data_time: 0.0192 memory: 17006 grad_norm: 11.1727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1269 loss: 1.1269 2022/07/30 04:42:24 - mmengine - INFO - Epoch(train) [149][360/3757] lr: 7.5976e-04 eta: 13:53:40 time: 0.4220 data_time: 0.0232 memory: 17006 grad_norm: 10.8008 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2174 loss: 1.2174 2022/07/30 04:42:32 - mmengine - INFO - Epoch(train) [149][380/3757] lr: 7.5976e-04 eta: 13:53:31 time: 0.4069 data_time: 0.0197 memory: 17006 grad_norm: 10.6078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0137 loss: 1.0137 2022/07/30 04:42:40 - mmengine - INFO - Epoch(train) [149][400/3757] lr: 7.5976e-04 eta: 13:53:23 time: 0.4061 data_time: 0.0208 memory: 17006 grad_norm: 11.3083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5899 loss: 1.5899 2022/07/30 04:42:49 - mmengine - INFO - Epoch(train) [149][420/3757] lr: 7.5976e-04 eta: 13:53:14 time: 0.4167 data_time: 0.0209 memory: 17006 grad_norm: 11.3761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2861 loss: 1.2861 2022/07/30 04:42:57 - mmengine - INFO - Epoch(train) [149][440/3757] lr: 7.5976e-04 eta: 13:53:06 time: 0.4071 data_time: 0.0223 memory: 17006 grad_norm: 10.8591 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0793 loss: 1.0793 2022/07/30 04:43:06 - mmengine - INFO - Epoch(train) [149][460/3757] lr: 7.5976e-04 eta: 13:52:58 time: 0.4411 data_time: 0.0193 memory: 17006 grad_norm: 10.8501 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2150 loss: 1.2150 2022/07/30 04:43:14 - mmengine - INFO - Epoch(train) [149][480/3757] lr: 7.5976e-04 eta: 13:52:49 time: 0.4061 data_time: 0.0211 memory: 17006 grad_norm: 10.7675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3902 loss: 1.3902 2022/07/30 04:43:22 - mmengine - INFO - Epoch(train) [149][500/3757] lr: 7.5976e-04 eta: 13:52:41 time: 0.4186 data_time: 0.0201 memory: 17006 grad_norm: 11.3704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2811 loss: 1.2811 2022/07/30 04:43:31 - mmengine - INFO - Epoch(train) [149][520/3757] lr: 7.5976e-04 eta: 13:52:32 time: 0.4071 data_time: 0.0214 memory: 17006 grad_norm: 10.7763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/07/30 04:43:39 - mmengine - INFO - Epoch(train) [149][540/3757] lr: 7.5976e-04 eta: 13:52:24 time: 0.4055 data_time: 0.0192 memory: 17006 grad_norm: 10.3618 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2983 loss: 1.2983 2022/07/30 04:43:47 - mmengine - INFO - Epoch(train) [149][560/3757] lr: 7.5976e-04 eta: 13:52:15 time: 0.4156 data_time: 0.0224 memory: 17006 grad_norm: 11.0587 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4742 loss: 1.4742 2022/07/30 04:43:55 - mmengine - INFO - Epoch(train) [149][580/3757] lr: 7.5976e-04 eta: 13:52:07 time: 0.4063 data_time: 0.0197 memory: 17006 grad_norm: 11.2521 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3697 loss: 1.3697 2022/07/30 04:44:04 - mmengine - INFO - Epoch(train) [149][600/3757] lr: 7.5976e-04 eta: 13:51:59 time: 0.4377 data_time: 0.0237 memory: 17006 grad_norm: 10.5842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2261 loss: 1.2261 2022/07/30 04:44:12 - mmengine - INFO - Epoch(train) [149][620/3757] lr: 7.5976e-04 eta: 13:51:50 time: 0.4067 data_time: 0.0204 memory: 17006 grad_norm: 11.2333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3358 loss: 1.3358 2022/07/30 04:44:20 - mmengine - INFO - Epoch(train) [149][640/3757] lr: 7.5976e-04 eta: 13:51:42 time: 0.4061 data_time: 0.0214 memory: 17006 grad_norm: 10.9451 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1832 loss: 1.1832 2022/07/30 04:44:29 - mmengine - INFO - Epoch(train) [149][660/3757] lr: 7.5976e-04 eta: 13:51:34 time: 0.4487 data_time: 0.0221 memory: 17006 grad_norm: 11.1416 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4860 loss: 1.4860 2022/07/30 04:44:37 - mmengine - INFO - Epoch(train) [149][680/3757] lr: 7.5976e-04 eta: 13:51:26 time: 0.4072 data_time: 0.0213 memory: 17006 grad_norm: 11.3088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5112 loss: 1.5112 2022/07/30 04:44:46 - mmengine - INFO - Epoch(train) [149][700/3757] lr: 7.5976e-04 eta: 13:51:17 time: 0.4122 data_time: 0.0207 memory: 17006 grad_norm: 10.8267 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3041 loss: 1.3041 2022/07/30 04:44:55 - mmengine - INFO - Epoch(train) [149][720/3757] lr: 7.5976e-04 eta: 13:51:09 time: 0.4510 data_time: 0.0230 memory: 17006 grad_norm: 10.8428 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4103 loss: 1.4103 2022/07/30 04:45:03 - mmengine - INFO - Epoch(train) [149][740/3757] lr: 7.5976e-04 eta: 13:51:01 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 10.5505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4019 loss: 1.4019 2022/07/30 04:45:11 - mmengine - INFO - Epoch(train) [149][760/3757] lr: 7.5976e-04 eta: 13:50:52 time: 0.4041 data_time: 0.0201 memory: 17006 grad_norm: 10.9191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2547 loss: 1.2547 2022/07/30 04:45:20 - mmengine - INFO - Epoch(train) [149][780/3757] lr: 7.5976e-04 eta: 13:50:45 time: 0.4506 data_time: 0.0202 memory: 17006 grad_norm: 10.8315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1935 loss: 1.1935 2022/07/30 04:45:28 - mmengine - INFO - Epoch(train) [149][800/3757] lr: 7.5976e-04 eta: 13:50:36 time: 0.4063 data_time: 0.0208 memory: 17006 grad_norm: 11.3235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2038 loss: 1.2038 2022/07/30 04:45:38 - mmengine - INFO - Epoch(train) [149][820/3757] lr: 7.5976e-04 eta: 13:50:29 time: 0.4638 data_time: 0.0217 memory: 17006 grad_norm: 10.7662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2458 loss: 1.2458 2022/07/30 04:45:46 - mmengine - INFO - Epoch(train) [149][840/3757] lr: 7.5976e-04 eta: 13:50:20 time: 0.4055 data_time: 0.0218 memory: 17006 grad_norm: 10.6060 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1576 loss: 1.1576 2022/07/30 04:45:55 - mmengine - INFO - Epoch(train) [149][860/3757] lr: 7.5976e-04 eta: 13:50:13 time: 0.4816 data_time: 0.0215 memory: 17006 grad_norm: 10.9025 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/07/30 04:46:04 - mmengine - INFO - Epoch(train) [149][880/3757] lr: 7.5976e-04 eta: 13:50:04 time: 0.4073 data_time: 0.0219 memory: 17006 grad_norm: 10.9106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3257 loss: 1.3257 2022/07/30 04:46:12 - mmengine - INFO - Epoch(train) [149][900/3757] lr: 7.5976e-04 eta: 13:49:56 time: 0.4039 data_time: 0.0179 memory: 17006 grad_norm: 10.8335 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2580 loss: 1.2580 2022/07/30 04:46:20 - mmengine - INFO - Epoch(train) [149][920/3757] lr: 7.5976e-04 eta: 13:49:48 time: 0.4282 data_time: 0.0229 memory: 17006 grad_norm: 10.6408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8857 loss: 0.8857 2022/07/30 04:46:28 - mmengine - INFO - Epoch(train) [149][940/3757] lr: 7.5976e-04 eta: 13:49:39 time: 0.4038 data_time: 0.0183 memory: 17006 grad_norm: 10.6104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4652 loss: 1.4652 2022/07/30 04:46:37 - mmengine - INFO - Epoch(train) [149][960/3757] lr: 7.5976e-04 eta: 13:49:31 time: 0.4419 data_time: 0.0244 memory: 17006 grad_norm: 10.5389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4500 loss: 1.4500 2022/07/30 04:46:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:46:45 - mmengine - INFO - Epoch(train) [149][980/3757] lr: 7.5976e-04 eta: 13:49:23 time: 0.4069 data_time: 0.0214 memory: 17006 grad_norm: 10.7150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2434 loss: 1.2434 2022/07/30 04:46:54 - mmengine - INFO - Epoch(train) [149][1000/3757] lr: 7.5976e-04 eta: 13:49:14 time: 0.4165 data_time: 0.0231 memory: 17006 grad_norm: 10.9375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1663 loss: 1.1663 2022/07/30 04:47:02 - mmengine - INFO - Epoch(train) [149][1020/3757] lr: 7.5976e-04 eta: 13:49:06 time: 0.4047 data_time: 0.0203 memory: 17006 grad_norm: 11.2039 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3011 loss: 1.3011 2022/07/30 04:47:10 - mmengine - INFO - Epoch(train) [149][1040/3757] lr: 7.5976e-04 eta: 13:48:57 time: 0.4195 data_time: 0.0210 memory: 17006 grad_norm: 11.1317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3840 loss: 1.3840 2022/07/30 04:47:19 - mmengine - INFO - Epoch(train) [149][1060/3757] lr: 7.5976e-04 eta: 13:48:49 time: 0.4363 data_time: 0.0203 memory: 17006 grad_norm: 10.9187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0572 loss: 1.0572 2022/07/30 04:47:27 - mmengine - INFO - Epoch(train) [149][1080/3757] lr: 7.5976e-04 eta: 13:48:41 time: 0.4046 data_time: 0.0214 memory: 17006 grad_norm: 11.2674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2857 loss: 1.2857 2022/07/30 04:47:36 - mmengine - INFO - Epoch(train) [149][1100/3757] lr: 7.5976e-04 eta: 13:48:32 time: 0.4182 data_time: 0.0198 memory: 17006 grad_norm: 11.1078 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3752 loss: 1.3752 2022/07/30 04:47:44 - mmengine - INFO - Epoch(train) [149][1120/3757] lr: 7.5976e-04 eta: 13:48:24 time: 0.4065 data_time: 0.0225 memory: 17006 grad_norm: 11.2574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2967 loss: 1.2967 2022/07/30 04:47:52 - mmengine - INFO - Epoch(train) [149][1140/3757] lr: 7.5976e-04 eta: 13:48:15 time: 0.4038 data_time: 0.0199 memory: 17006 grad_norm: 10.9243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6585 loss: 1.6585 2022/07/30 04:48:00 - mmengine - INFO - Epoch(train) [149][1160/3757] lr: 7.5976e-04 eta: 13:48:07 time: 0.4308 data_time: 0.0230 memory: 17006 grad_norm: 11.3145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5462 loss: 1.5462 2022/07/30 04:48:09 - mmengine - INFO - Epoch(train) [149][1180/3757] lr: 7.5976e-04 eta: 13:47:59 time: 0.4057 data_time: 0.0200 memory: 17006 grad_norm: 11.0427 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1467 loss: 1.1467 2022/07/30 04:48:17 - mmengine - INFO - Epoch(train) [149][1200/3757] lr: 7.5976e-04 eta: 13:47:50 time: 0.4165 data_time: 0.0209 memory: 17006 grad_norm: 11.3531 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5581 loss: 1.5581 2022/07/30 04:48:25 - mmengine - INFO - Epoch(train) [149][1220/3757] lr: 7.5976e-04 eta: 13:47:42 time: 0.4082 data_time: 0.0189 memory: 17006 grad_norm: 10.8107 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2539 loss: 1.2539 2022/07/30 04:48:33 - mmengine - INFO - Epoch(train) [149][1240/3757] lr: 7.5976e-04 eta: 13:47:33 time: 0.4152 data_time: 0.0238 memory: 17006 grad_norm: 10.6256 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1766 loss: 1.1766 2022/07/30 04:48:42 - mmengine - INFO - Epoch(train) [149][1260/3757] lr: 7.5976e-04 eta: 13:47:25 time: 0.4056 data_time: 0.0204 memory: 17006 grad_norm: 10.8740 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4258 loss: 1.4258 2022/07/30 04:48:50 - mmengine - INFO - Epoch(train) [149][1280/3757] lr: 7.5976e-04 eta: 13:47:16 time: 0.4103 data_time: 0.0204 memory: 17006 grad_norm: 11.0222 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1141 loss: 1.1141 2022/07/30 04:48:58 - mmengine - INFO - Epoch(train) [149][1300/3757] lr: 7.5976e-04 eta: 13:47:08 time: 0.4198 data_time: 0.0219 memory: 17006 grad_norm: 11.1547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3499 loss: 1.3499 2022/07/30 04:49:06 - mmengine - INFO - Epoch(train) [149][1320/3757] lr: 7.5976e-04 eta: 13:46:59 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 11.1514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1970 loss: 1.1970 2022/07/30 04:49:15 - mmengine - INFO - Epoch(train) [149][1340/3757] lr: 7.5976e-04 eta: 13:46:51 time: 0.4168 data_time: 0.0199 memory: 17006 grad_norm: 10.8540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/07/30 04:49:24 - mmengine - INFO - Epoch(train) [149][1360/3757] lr: 7.5976e-04 eta: 13:46:43 time: 0.4399 data_time: 0.0211 memory: 17006 grad_norm: 11.3441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4869 loss: 1.4869 2022/07/30 04:49:32 - mmengine - INFO - Epoch(train) [149][1380/3757] lr: 7.5976e-04 eta: 13:46:35 time: 0.4045 data_time: 0.0188 memory: 17006 grad_norm: 11.0691 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3269 loss: 1.3269 2022/07/30 04:49:40 - mmengine - INFO - Epoch(train) [149][1400/3757] lr: 7.5976e-04 eta: 13:46:26 time: 0.4213 data_time: 0.0236 memory: 17006 grad_norm: 11.4185 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5128 loss: 1.5128 2022/07/30 04:49:48 - mmengine - INFO - Epoch(train) [149][1420/3757] lr: 7.5976e-04 eta: 13:46:18 time: 0.4062 data_time: 0.0192 memory: 17006 grad_norm: 11.0022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2816 loss: 1.2816 2022/07/30 04:49:58 - mmengine - INFO - Epoch(train) [149][1440/3757] lr: 7.5976e-04 eta: 13:46:10 time: 0.4593 data_time: 0.0210 memory: 17006 grad_norm: 11.2327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3407 loss: 1.3407 2022/07/30 04:50:06 - mmengine - INFO - Epoch(train) [149][1460/3757] lr: 7.5976e-04 eta: 13:46:02 time: 0.4075 data_time: 0.0197 memory: 17006 grad_norm: 10.9892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3737 loss: 1.3737 2022/07/30 04:50:14 - mmengine - INFO - Epoch(train) [149][1480/3757] lr: 7.5976e-04 eta: 13:45:53 time: 0.4159 data_time: 0.0227 memory: 17006 grad_norm: 11.2666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2038 loss: 1.2038 2022/07/30 04:50:22 - mmengine - INFO - Epoch(train) [149][1500/3757] lr: 7.5976e-04 eta: 13:45:45 time: 0.4046 data_time: 0.0196 memory: 17006 grad_norm: 10.9658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5164 loss: 1.5164 2022/07/30 04:50:30 - mmengine - INFO - Epoch(train) [149][1520/3757] lr: 7.5976e-04 eta: 13:45:36 time: 0.4089 data_time: 0.0212 memory: 17006 grad_norm: 11.3293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3762 loss: 1.3762 2022/07/30 04:50:39 - mmengine - INFO - Epoch(train) [149][1540/3757] lr: 7.5976e-04 eta: 13:45:28 time: 0.4342 data_time: 0.0212 memory: 17006 grad_norm: 11.3293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3392 loss: 1.3392 2022/07/30 04:50:48 - mmengine - INFO - Epoch(train) [149][1560/3757] lr: 7.5976e-04 eta: 13:45:20 time: 0.4253 data_time: 0.0210 memory: 17006 grad_norm: 11.0739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1904 loss: 1.1904 2022/07/30 04:50:56 - mmengine - INFO - Epoch(train) [149][1580/3757] lr: 7.5976e-04 eta: 13:45:12 time: 0.4149 data_time: 0.0194 memory: 17006 grad_norm: 11.0520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2383 loss: 1.2383 2022/07/30 04:51:04 - mmengine - INFO - Epoch(train) [149][1600/3757] lr: 7.5976e-04 eta: 13:45:03 time: 0.4065 data_time: 0.0223 memory: 17006 grad_norm: 10.9599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4632 loss: 1.4632 2022/07/30 04:51:12 - mmengine - INFO - Epoch(train) [149][1620/3757] lr: 7.5976e-04 eta: 13:44:54 time: 0.4036 data_time: 0.0195 memory: 17006 grad_norm: 10.9216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2079 loss: 1.2079 2022/07/30 04:51:21 - mmengine - INFO - Epoch(train) [149][1640/3757] lr: 7.5976e-04 eta: 13:44:47 time: 0.4577 data_time: 0.0228 memory: 17006 grad_norm: 11.3547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3246 loss: 1.3246 2022/07/30 04:51:30 - mmengine - INFO - Epoch(train) [149][1660/3757] lr: 7.5976e-04 eta: 13:44:38 time: 0.4055 data_time: 0.0202 memory: 17006 grad_norm: 10.6052 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3297 loss: 1.3297 2022/07/30 04:51:39 - mmengine - INFO - Epoch(train) [149][1680/3757] lr: 7.5976e-04 eta: 13:44:31 time: 0.4515 data_time: 0.0256 memory: 17006 grad_norm: 12.1271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7936 loss: 1.7936 2022/07/30 04:51:47 - mmengine - INFO - Epoch(train) [149][1700/3757] lr: 7.5976e-04 eta: 13:44:22 time: 0.4050 data_time: 0.0202 memory: 17006 grad_norm: 11.2597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5996 loss: 1.5996 2022/07/30 04:51:55 - mmengine - INFO - Epoch(train) [149][1720/3757] lr: 7.5976e-04 eta: 13:44:14 time: 0.4298 data_time: 0.0225 memory: 17006 grad_norm: 11.1627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4157 loss: 1.4157 2022/07/30 04:52:03 - mmengine - INFO - Epoch(train) [149][1740/3757] lr: 7.5976e-04 eta: 13:44:05 time: 0.4052 data_time: 0.0184 memory: 17006 grad_norm: 11.5560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5030 loss: 1.5030 2022/07/30 04:52:12 - mmengine - INFO - Epoch(train) [149][1760/3757] lr: 7.5976e-04 eta: 13:43:57 time: 0.4054 data_time: 0.0219 memory: 17006 grad_norm: 11.0282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2874 loss: 1.2874 2022/07/30 04:52:20 - mmengine - INFO - Epoch(train) [149][1780/3757] lr: 7.5976e-04 eta: 13:43:49 time: 0.4279 data_time: 0.0205 memory: 17006 grad_norm: 10.6129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5001 loss: 1.5001 2022/07/30 04:52:28 - mmengine - INFO - Epoch(train) [149][1800/3757] lr: 7.5976e-04 eta: 13:43:40 time: 0.4075 data_time: 0.0215 memory: 17006 grad_norm: 10.8440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3554 loss: 1.3554 2022/07/30 04:52:37 - mmengine - INFO - Epoch(train) [149][1820/3757] lr: 7.5976e-04 eta: 13:43:32 time: 0.4335 data_time: 0.0228 memory: 17006 grad_norm: 10.6157 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0804 loss: 1.0804 2022/07/30 04:52:45 - mmengine - INFO - Epoch(train) [149][1840/3757] lr: 7.5976e-04 eta: 13:43:24 time: 0.4109 data_time: 0.0218 memory: 17006 grad_norm: 10.9232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/07/30 04:52:54 - mmengine - INFO - Epoch(train) [149][1860/3757] lr: 7.5976e-04 eta: 13:43:15 time: 0.4095 data_time: 0.0190 memory: 17006 grad_norm: 11.7379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4407 loss: 1.4407 2022/07/30 04:53:02 - mmengine - INFO - Epoch(train) [149][1880/3757] lr: 7.5976e-04 eta: 13:43:07 time: 0.4069 data_time: 0.0229 memory: 17006 grad_norm: 11.2592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4593 loss: 1.4593 2022/07/30 04:53:10 - mmengine - INFO - Epoch(train) [149][1900/3757] lr: 7.5976e-04 eta: 13:42:58 time: 0.4077 data_time: 0.0213 memory: 17006 grad_norm: 11.4518 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4224 loss: 1.4224 2022/07/30 04:53:19 - mmengine - INFO - Epoch(train) [149][1920/3757] lr: 7.5976e-04 eta: 13:42:50 time: 0.4419 data_time: 0.0221 memory: 17006 grad_norm: 11.7279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4231 loss: 1.4231 2022/07/30 04:53:27 - mmengine - INFO - Epoch(train) [149][1940/3757] lr: 7.5976e-04 eta: 13:42:42 time: 0.4104 data_time: 0.0237 memory: 17006 grad_norm: 10.7569 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2074 loss: 1.2074 2022/07/30 04:53:36 - mmengine - INFO - Epoch(train) [149][1960/3757] lr: 7.5976e-04 eta: 13:42:33 time: 0.4258 data_time: 0.0216 memory: 17006 grad_norm: 11.1513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4068 loss: 1.4068 2022/07/30 04:53:37 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 04:53:44 - mmengine - INFO - Epoch(train) [149][1980/3757] lr: 7.5976e-04 eta: 13:42:25 time: 0.4106 data_time: 0.0214 memory: 17006 grad_norm: 10.8065 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3905 loss: 1.3905 2022/07/30 04:53:52 - mmengine - INFO - Epoch(train) [149][2000/3757] lr: 7.5976e-04 eta: 13:42:16 time: 0.4045 data_time: 0.0208 memory: 17006 grad_norm: 11.3380 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2183 loss: 1.2183 2022/07/30 04:54:00 - mmengine - INFO - Epoch(train) [149][2020/3757] lr: 7.5976e-04 eta: 13:42:08 time: 0.4082 data_time: 0.0203 memory: 17006 grad_norm: 11.3662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0850 loss: 1.0850 2022/07/30 04:54:09 - mmengine - INFO - Epoch(train) [149][2040/3757] lr: 7.5976e-04 eta: 13:42:00 time: 0.4531 data_time: 0.0236 memory: 17006 grad_norm: 11.3273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0111 loss: 1.0111 2022/07/30 04:54:17 - mmengine - INFO - Epoch(train) [149][2060/3757] lr: 7.5976e-04 eta: 13:41:52 time: 0.4065 data_time: 0.0203 memory: 17006 grad_norm: 10.7752 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1485 loss: 1.1485 2022/07/30 04:54:27 - mmengine - INFO - Epoch(train) [149][2080/3757] lr: 7.5976e-04 eta: 13:41:44 time: 0.4577 data_time: 0.0251 memory: 17006 grad_norm: 10.6752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0696 loss: 1.0696 2022/07/30 04:54:35 - mmengine - INFO - Epoch(train) [149][2100/3757] lr: 7.5976e-04 eta: 13:41:36 time: 0.4068 data_time: 0.0204 memory: 17006 grad_norm: 11.1847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2393 loss: 1.2393 2022/07/30 04:54:43 - mmengine - INFO - Epoch(train) [149][2120/3757] lr: 7.5976e-04 eta: 13:41:27 time: 0.4069 data_time: 0.0224 memory: 17006 grad_norm: 11.4608 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2035 loss: 1.2035 2022/07/30 04:54:52 - mmengine - INFO - Epoch(train) [149][2140/3757] lr: 7.5976e-04 eta: 13:41:19 time: 0.4388 data_time: 0.0205 memory: 17006 grad_norm: 11.1530 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4079 loss: 1.4079 2022/07/30 04:55:00 - mmengine - INFO - Epoch(train) [149][2160/3757] lr: 7.5976e-04 eta: 13:41:11 time: 0.4073 data_time: 0.0223 memory: 17006 grad_norm: 11.5370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3535 loss: 1.3535 2022/07/30 04:55:09 - mmengine - INFO - Epoch(train) [149][2180/3757] lr: 7.5976e-04 eta: 13:41:03 time: 0.4477 data_time: 0.0220 memory: 17006 grad_norm: 11.2023 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2825 loss: 1.2825 2022/07/30 04:55:17 - mmengine - INFO - Epoch(train) [149][2200/3757] lr: 7.5976e-04 eta: 13:40:54 time: 0.4072 data_time: 0.0219 memory: 17006 grad_norm: 11.4701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4265 loss: 1.4265 2022/07/30 04:55:26 - mmengine - INFO - Epoch(train) [149][2220/3757] lr: 7.5976e-04 eta: 13:40:46 time: 0.4269 data_time: 0.0224 memory: 17006 grad_norm: 10.3434 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2652 loss: 1.2652 2022/07/30 04:55:34 - mmengine - INFO - Epoch(train) [149][2240/3757] lr: 7.5976e-04 eta: 13:40:37 time: 0.4065 data_time: 0.0219 memory: 17006 grad_norm: 11.4524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1703 loss: 1.1703 2022/07/30 04:55:42 - mmengine - INFO - Epoch(train) [149][2260/3757] lr: 7.5976e-04 eta: 13:40:29 time: 0.4046 data_time: 0.0190 memory: 17006 grad_norm: 10.5075 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0974 loss: 1.0974 2022/07/30 04:55:51 - mmengine - INFO - Epoch(train) [149][2280/3757] lr: 7.5976e-04 eta: 13:40:21 time: 0.4392 data_time: 0.0235 memory: 17006 grad_norm: 10.4981 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3603 loss: 1.3603 2022/07/30 04:55:59 - mmengine - INFO - Epoch(train) [149][2300/3757] lr: 7.5976e-04 eta: 13:40:12 time: 0.4053 data_time: 0.0189 memory: 17006 grad_norm: 10.7496 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5123 loss: 1.5123 2022/07/30 04:56:07 - mmengine - INFO - Epoch(train) [149][2320/3757] lr: 7.5976e-04 eta: 13:40:04 time: 0.4337 data_time: 0.0228 memory: 17006 grad_norm: 11.2425 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5795 loss: 1.5795 2022/07/30 04:56:16 - mmengine - INFO - Epoch(train) [149][2340/3757] lr: 7.5976e-04 eta: 13:39:56 time: 0.4030 data_time: 0.0199 memory: 17006 grad_norm: 10.9575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3435 loss: 1.3435 2022/07/30 04:56:24 - mmengine - INFO - Epoch(train) [149][2360/3757] lr: 7.5976e-04 eta: 13:39:47 time: 0.4151 data_time: 0.0235 memory: 17006 grad_norm: 11.4168 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3438 loss: 1.3438 2022/07/30 04:56:32 - mmengine - INFO - Epoch(train) [149][2380/3757] lr: 7.5976e-04 eta: 13:39:39 time: 0.4039 data_time: 0.0193 memory: 17006 grad_norm: 10.9247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2465 loss: 1.2465 2022/07/30 04:56:40 - mmengine - INFO - Epoch(train) [149][2400/3757] lr: 7.5976e-04 eta: 13:39:30 time: 0.4073 data_time: 0.0205 memory: 17006 grad_norm: 11.5003 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5471 loss: 1.5471 2022/07/30 04:56:49 - mmengine - INFO - Epoch(train) [149][2420/3757] lr: 7.5976e-04 eta: 13:39:22 time: 0.4302 data_time: 0.0218 memory: 17006 grad_norm: 10.6623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4130 loss: 1.4130 2022/07/30 04:56:57 - mmengine - INFO - Epoch(train) [149][2440/3757] lr: 7.5976e-04 eta: 13:39:14 time: 0.4060 data_time: 0.0213 memory: 17006 grad_norm: 11.6827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4745 loss: 1.4745 2022/07/30 04:57:06 - mmengine - INFO - Epoch(train) [149][2460/3757] lr: 7.5976e-04 eta: 13:39:06 time: 0.4363 data_time: 0.0210 memory: 17006 grad_norm: 11.0631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1666 loss: 1.1666 2022/07/30 04:57:14 - mmengine - INFO - Epoch(train) [149][2480/3757] lr: 7.5976e-04 eta: 13:38:57 time: 0.4058 data_time: 0.0211 memory: 17006 grad_norm: 10.6101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1377 loss: 1.1377 2022/07/30 04:57:22 - mmengine - INFO - Epoch(train) [149][2500/3757] lr: 7.5976e-04 eta: 13:38:48 time: 0.4028 data_time: 0.0183 memory: 17006 grad_norm: 11.1487 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2384 loss: 1.2384 2022/07/30 04:57:31 - mmengine - INFO - Epoch(train) [149][2520/3757] lr: 7.5976e-04 eta: 13:38:40 time: 0.4373 data_time: 0.0213 memory: 17006 grad_norm: 11.7397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3099 loss: 1.3099 2022/07/30 04:57:39 - mmengine - INFO - Epoch(train) [149][2540/3757] lr: 7.5976e-04 eta: 13:38:32 time: 0.4071 data_time: 0.0213 memory: 17006 grad_norm: 11.1031 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4209 loss: 1.4209 2022/07/30 04:57:48 - mmengine - INFO - Epoch(train) [149][2560/3757] lr: 7.5976e-04 eta: 13:38:24 time: 0.4357 data_time: 0.0221 memory: 17006 grad_norm: 11.0896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1066 loss: 1.1066 2022/07/30 04:57:56 - mmengine - INFO - Epoch(train) [149][2580/3757] lr: 7.5976e-04 eta: 13:38:15 time: 0.4067 data_time: 0.0187 memory: 17006 grad_norm: 11.1886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1745 loss: 1.1745 2022/07/30 04:58:04 - mmengine - INFO - Epoch(train) [149][2600/3757] lr: 7.5976e-04 eta: 13:38:07 time: 0.4210 data_time: 0.0229 memory: 17006 grad_norm: 10.9853 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3584 loss: 1.3584 2022/07/30 04:58:12 - mmengine - INFO - Epoch(train) [149][2620/3757] lr: 7.5976e-04 eta: 13:37:58 time: 0.4046 data_time: 0.0199 memory: 17006 grad_norm: 10.9336 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2667 loss: 1.2667 2022/07/30 04:58:21 - mmengine - INFO - Epoch(train) [149][2640/3757] lr: 7.5976e-04 eta: 13:37:50 time: 0.4208 data_time: 0.0198 memory: 17006 grad_norm: 11.2174 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5374 loss: 1.5374 2022/07/30 04:58:29 - mmengine - INFO - Epoch(train) [149][2660/3757] lr: 7.5976e-04 eta: 13:37:42 time: 0.4144 data_time: 0.0203 memory: 17006 grad_norm: 10.9312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2817 loss: 1.2817 2022/07/30 04:58:38 - mmengine - INFO - Epoch(train) [149][2680/3757] lr: 7.5976e-04 eta: 13:37:33 time: 0.4209 data_time: 0.0209 memory: 17006 grad_norm: 11.3813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3510 loss: 1.3510 2022/07/30 04:58:46 - mmengine - INFO - Epoch(train) [149][2700/3757] lr: 7.5976e-04 eta: 13:37:25 time: 0.4354 data_time: 0.0187 memory: 17006 grad_norm: 11.0922 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1909 loss: 1.1909 2022/07/30 04:58:55 - mmengine - INFO - Epoch(train) [149][2720/3757] lr: 7.5976e-04 eta: 13:37:17 time: 0.4110 data_time: 0.0219 memory: 17006 grad_norm: 10.5396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2599 loss: 1.2599 2022/07/30 04:59:03 - mmengine - INFO - Epoch(train) [149][2740/3757] lr: 7.5976e-04 eta: 13:37:08 time: 0.4045 data_time: 0.0202 memory: 17006 grad_norm: 10.5990 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2649 loss: 1.2649 2022/07/30 04:59:11 - mmengine - INFO - Epoch(train) [149][2760/3757] lr: 7.5976e-04 eta: 13:37:00 time: 0.4209 data_time: 0.0220 memory: 17006 grad_norm: 11.7729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4052 loss: 1.4052 2022/07/30 04:59:20 - mmengine - INFO - Epoch(train) [149][2780/3757] lr: 7.5976e-04 eta: 13:36:52 time: 0.4312 data_time: 0.0188 memory: 17006 grad_norm: 11.0781 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1920 loss: 1.1920 2022/07/30 04:59:28 - mmengine - INFO - Epoch(train) [149][2800/3757] lr: 7.5976e-04 eta: 13:36:44 time: 0.4228 data_time: 0.0299 memory: 17006 grad_norm: 10.9838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1948 loss: 1.1948 2022/07/30 04:59:36 - mmengine - INFO - Epoch(train) [149][2820/3757] lr: 7.5976e-04 eta: 13:36:35 time: 0.4059 data_time: 0.0196 memory: 17006 grad_norm: 10.8975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3917 loss: 1.3917 2022/07/30 04:59:45 - mmengine - INFO - Epoch(train) [149][2840/3757] lr: 7.5976e-04 eta: 13:36:28 time: 0.4537 data_time: 0.0240 memory: 17006 grad_norm: 11.3685 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4008 loss: 1.4008 2022/07/30 04:59:54 - mmengine - INFO - Epoch(train) [149][2860/3757] lr: 7.5976e-04 eta: 13:36:19 time: 0.4049 data_time: 0.0195 memory: 17006 grad_norm: 11.2426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4304 loss: 1.4304 2022/07/30 05:00:02 - mmengine - INFO - Epoch(train) [149][2880/3757] lr: 7.5976e-04 eta: 13:36:10 time: 0.4051 data_time: 0.0204 memory: 17006 grad_norm: 11.1623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1650 loss: 1.1650 2022/07/30 05:00:10 - mmengine - INFO - Epoch(train) [149][2900/3757] lr: 7.5976e-04 eta: 13:36:02 time: 0.4190 data_time: 0.0244 memory: 17006 grad_norm: 11.7553 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/07/30 05:00:18 - mmengine - INFO - Epoch(train) [149][2920/3757] lr: 7.5976e-04 eta: 13:35:54 time: 0.4098 data_time: 0.0223 memory: 17006 grad_norm: 11.2265 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3684 loss: 1.3684 2022/07/30 05:00:27 - mmengine - INFO - Epoch(train) [149][2940/3757] lr: 7.5976e-04 eta: 13:35:45 time: 0.4127 data_time: 0.0195 memory: 17006 grad_norm: 11.2643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3332 loss: 1.3332 2022/07/30 05:00:35 - mmengine - INFO - Epoch(train) [149][2960/3757] lr: 7.5976e-04 eta: 13:35:37 time: 0.4095 data_time: 0.0231 memory: 17006 grad_norm: 10.9465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1180 loss: 1.1180 2022/07/30 05:00:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:00:43 - mmengine - INFO - Epoch(train) [149][2980/3757] lr: 7.5976e-04 eta: 13:35:28 time: 0.4064 data_time: 0.0205 memory: 17006 grad_norm: 10.9038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4002 loss: 1.4002 2022/07/30 05:00:51 - mmengine - INFO - Epoch(train) [149][3000/3757] lr: 7.5976e-04 eta: 13:35:20 time: 0.4182 data_time: 0.0223 memory: 17006 grad_norm: 10.9330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2639 loss: 1.2639 2022/07/30 05:01:00 - mmengine - INFO - Epoch(train) [149][3020/3757] lr: 7.5976e-04 eta: 13:35:12 time: 0.4257 data_time: 0.0198 memory: 17006 grad_norm: 11.1434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4887 loss: 1.4887 2022/07/30 05:01:08 - mmengine - INFO - Epoch(train) [149][3040/3757] lr: 7.5976e-04 eta: 13:35:03 time: 0.4261 data_time: 0.0239 memory: 17006 grad_norm: 11.2569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6102 loss: 1.6102 2022/07/30 05:01:17 - mmengine - INFO - Epoch(train) [149][3060/3757] lr: 7.5976e-04 eta: 13:34:55 time: 0.4189 data_time: 0.0208 memory: 17006 grad_norm: 11.3567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2778 loss: 1.2778 2022/07/30 05:01:25 - mmengine - INFO - Epoch(train) [149][3080/3757] lr: 7.5976e-04 eta: 13:34:47 time: 0.4137 data_time: 0.0227 memory: 17006 grad_norm: 11.1044 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3689 loss: 1.3689 2022/07/30 05:01:33 - mmengine - INFO - Epoch(train) [149][3100/3757] lr: 7.5976e-04 eta: 13:34:38 time: 0.4035 data_time: 0.0207 memory: 17006 grad_norm: 11.1817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1409 loss: 1.1409 2022/07/30 05:01:41 - mmengine - INFO - Epoch(train) [149][3120/3757] lr: 7.5976e-04 eta: 13:34:30 time: 0.4064 data_time: 0.0219 memory: 17006 grad_norm: 11.2094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2679 loss: 1.2679 2022/07/30 05:01:50 - mmengine - INFO - Epoch(train) [149][3140/3757] lr: 7.5976e-04 eta: 13:34:21 time: 0.4261 data_time: 0.0191 memory: 17006 grad_norm: 10.9209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1573 loss: 1.1573 2022/07/30 05:01:58 - mmengine - INFO - Epoch(train) [149][3160/3757] lr: 7.5976e-04 eta: 13:34:13 time: 0.4098 data_time: 0.0229 memory: 17006 grad_norm: 11.2776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4785 loss: 1.4785 2022/07/30 05:02:07 - mmengine - INFO - Epoch(train) [149][3180/3757] lr: 7.5976e-04 eta: 13:34:05 time: 0.4478 data_time: 0.0204 memory: 17006 grad_norm: 11.4705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5880 loss: 1.5880 2022/07/30 05:02:15 - mmengine - INFO - Epoch(train) [149][3200/3757] lr: 7.5976e-04 eta: 13:33:57 time: 0.4091 data_time: 0.0229 memory: 17006 grad_norm: 11.0989 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4823 loss: 1.4823 2022/07/30 05:02:24 - mmengine - INFO - Epoch(train) [149][3220/3757] lr: 7.5976e-04 eta: 13:33:48 time: 0.4065 data_time: 0.0209 memory: 17006 grad_norm: 10.9884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5386 loss: 1.5386 2022/07/30 05:02:32 - mmengine - INFO - Epoch(train) [149][3240/3757] lr: 7.5976e-04 eta: 13:33:40 time: 0.4330 data_time: 0.0213 memory: 17006 grad_norm: 11.3628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4991 loss: 1.4991 2022/07/30 05:02:40 - mmengine - INFO - Epoch(train) [149][3260/3757] lr: 7.5976e-04 eta: 13:33:31 time: 0.4054 data_time: 0.0206 memory: 17006 grad_norm: 11.6112 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3569 loss: 1.3569 2022/07/30 05:02:49 - mmengine - INFO - Epoch(train) [149][3280/3757] lr: 7.5976e-04 eta: 13:33:23 time: 0.4161 data_time: 0.0214 memory: 17006 grad_norm: 11.6830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2606 loss: 1.2606 2022/07/30 05:02:57 - mmengine - INFO - Epoch(train) [149][3300/3757] lr: 7.5976e-04 eta: 13:33:15 time: 0.4058 data_time: 0.0201 memory: 17006 grad_norm: 11.5298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4184 loss: 1.4184 2022/07/30 05:03:06 - mmengine - INFO - Epoch(train) [149][3320/3757] lr: 7.5976e-04 eta: 13:33:07 time: 0.4368 data_time: 0.0224 memory: 17006 grad_norm: 11.3177 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3999 loss: 1.3999 2022/07/30 05:03:14 - mmengine - INFO - Epoch(train) [149][3340/3757] lr: 7.5976e-04 eta: 13:32:58 time: 0.4043 data_time: 0.0201 memory: 17006 grad_norm: 11.9653 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5287 loss: 1.5287 2022/07/30 05:03:22 - mmengine - INFO - Epoch(train) [149][3360/3757] lr: 7.5976e-04 eta: 13:32:49 time: 0.4049 data_time: 0.0206 memory: 17006 grad_norm: 11.4107 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2400 loss: 1.2400 2022/07/30 05:03:30 - mmengine - INFO - Epoch(train) [149][3380/3757] lr: 7.5976e-04 eta: 13:32:41 time: 0.4182 data_time: 0.0204 memory: 17006 grad_norm: 11.5469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3009 loss: 1.3009 2022/07/30 05:03:38 - mmengine - INFO - Epoch(train) [149][3400/3757] lr: 7.5976e-04 eta: 13:32:32 time: 0.4054 data_time: 0.0213 memory: 17006 grad_norm: 11.2869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3333 loss: 1.3333 2022/07/30 05:03:47 - mmengine - INFO - Epoch(train) [149][3420/3757] lr: 7.5976e-04 eta: 13:32:24 time: 0.4297 data_time: 0.0203 memory: 17006 grad_norm: 11.5119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3589 loss: 1.3589 2022/07/30 05:03:55 - mmengine - INFO - Epoch(train) [149][3440/3757] lr: 7.5976e-04 eta: 13:32:16 time: 0.4053 data_time: 0.0215 memory: 17006 grad_norm: 11.4930 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1082 loss: 1.1082 2022/07/30 05:04:03 - mmengine - INFO - Epoch(train) [149][3460/3757] lr: 7.5976e-04 eta: 13:32:07 time: 0.4035 data_time: 0.0190 memory: 17006 grad_norm: 11.3379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2671 loss: 1.2671 2022/07/30 05:04:12 - mmengine - INFO - Epoch(train) [149][3480/3757] lr: 7.5976e-04 eta: 13:31:59 time: 0.4331 data_time: 0.0226 memory: 17006 grad_norm: 11.0603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3796 loss: 1.3796 2022/07/30 05:04:20 - mmengine - INFO - Epoch(train) [149][3500/3757] lr: 7.5976e-04 eta: 13:31:51 time: 0.4046 data_time: 0.0206 memory: 17006 grad_norm: 11.6644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4574 loss: 1.4574 2022/07/30 05:04:29 - mmengine - INFO - Epoch(train) [149][3520/3757] lr: 7.5976e-04 eta: 13:31:43 time: 0.4357 data_time: 0.0227 memory: 17006 grad_norm: 10.9642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1745 loss: 1.1745 2022/07/30 05:04:37 - mmengine - INFO - Epoch(train) [149][3540/3757] lr: 7.5976e-04 eta: 13:31:34 time: 0.4060 data_time: 0.0208 memory: 17006 grad_norm: 11.1551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0542 loss: 1.0542 2022/07/30 05:04:46 - mmengine - INFO - Epoch(train) [149][3560/3757] lr: 7.5976e-04 eta: 13:31:26 time: 0.4297 data_time: 0.0229 memory: 17006 grad_norm: 10.9988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0184 loss: 1.0184 2022/07/30 05:04:54 - mmengine - INFO - Epoch(train) [149][3580/3757] lr: 7.5976e-04 eta: 13:31:17 time: 0.4055 data_time: 0.0203 memory: 17006 grad_norm: 11.2106 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2791 loss: 1.2791 2022/07/30 05:05:02 - mmengine - INFO - Epoch(train) [149][3600/3757] lr: 7.5976e-04 eta: 13:31:09 time: 0.4053 data_time: 0.0206 memory: 17006 grad_norm: 11.0731 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3206 loss: 1.3206 2022/07/30 05:05:10 - mmengine - INFO - Epoch(train) [149][3620/3757] lr: 7.5976e-04 eta: 13:31:00 time: 0.4164 data_time: 0.0213 memory: 17006 grad_norm: 10.5788 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2618 loss: 1.2618 2022/07/30 05:05:18 - mmengine - INFO - Epoch(train) [149][3640/3757] lr: 7.5976e-04 eta: 13:30:52 time: 0.4069 data_time: 0.0222 memory: 17006 grad_norm: 11.2915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2441 loss: 1.2441 2022/07/30 05:05:27 - mmengine - INFO - Epoch(train) [149][3660/3757] lr: 7.5976e-04 eta: 13:30:44 time: 0.4192 data_time: 0.0189 memory: 17006 grad_norm: 10.8551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3812 loss: 1.3812 2022/07/30 05:05:35 - mmengine - INFO - Epoch(train) [149][3680/3757] lr: 7.5976e-04 eta: 13:30:35 time: 0.4042 data_time: 0.0217 memory: 17006 grad_norm: 11.3208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0786 loss: 1.0786 2022/07/30 05:05:43 - mmengine - INFO - Epoch(train) [149][3700/3757] lr: 7.5976e-04 eta: 13:30:26 time: 0.4041 data_time: 0.0198 memory: 17006 grad_norm: 10.8606 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5342 loss: 1.5342 2022/07/30 05:05:52 - mmengine - INFO - Epoch(train) [149][3720/3757] lr: 7.5976e-04 eta: 13:30:18 time: 0.4445 data_time: 0.0234 memory: 17006 grad_norm: 10.6070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3667 loss: 1.3667 2022/07/30 05:06:00 - mmengine - INFO - Epoch(train) [149][3740/3757] lr: 7.5976e-04 eta: 13:30:10 time: 0.4047 data_time: 0.0194 memory: 17006 grad_norm: 11.0143 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3124 loss: 1.3124 2022/07/30 05:06:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:06:07 - mmengine - INFO - Epoch(train) [149][3757/3757] lr: 7.5976e-04 eta: 13:30:10 time: 0.4054 data_time: 0.0224 memory: 17006 grad_norm: 11.1946 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1655 loss: 1.1655 2022/07/30 05:06:07 - mmengine - INFO - Saving checkpoint at 149 epochs 2022/07/30 05:06:19 - mmengine - INFO - Epoch(train) [150][20/3757] lr: 7.1416e-04 eta: 13:29:49 time: 0.4800 data_time: 0.0930 memory: 17006 grad_norm: 11.1080 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3781 loss: 1.3781 2022/07/30 05:06:28 - mmengine - INFO - Epoch(train) [150][40/3757] lr: 7.1416e-04 eta: 13:29:41 time: 0.4189 data_time: 0.0224 memory: 17006 grad_norm: 10.7971 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2540 loss: 1.2540 2022/07/30 05:06:36 - mmengine - INFO - Epoch(train) [150][60/3757] lr: 7.1416e-04 eta: 13:29:32 time: 0.4042 data_time: 0.0187 memory: 17006 grad_norm: 11.0538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2803 loss: 1.2803 2022/07/30 05:06:44 - mmengine - INFO - Epoch(train) [150][80/3757] lr: 7.1416e-04 eta: 13:29:24 time: 0.4068 data_time: 0.0212 memory: 17006 grad_norm: 11.5933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3302 loss: 1.3302 2022/07/30 05:06:52 - mmengine - INFO - Epoch(train) [150][100/3757] lr: 7.1416e-04 eta: 13:29:15 time: 0.4167 data_time: 0.0266 memory: 17006 grad_norm: 11.4780 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4882 loss: 1.4882 2022/07/30 05:07:01 - mmengine - INFO - Epoch(train) [150][120/3757] lr: 7.1416e-04 eta: 13:29:07 time: 0.4167 data_time: 0.0235 memory: 17006 grad_norm: 10.8291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3686 loss: 1.3686 2022/07/30 05:07:09 - mmengine - INFO - Epoch(train) [150][140/3757] lr: 7.1416e-04 eta: 13:28:58 time: 0.4115 data_time: 0.0215 memory: 17006 grad_norm: 11.4061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3153 loss: 1.3153 2022/07/30 05:07:17 - mmengine - INFO - Epoch(train) [150][160/3757] lr: 7.1416e-04 eta: 13:28:50 time: 0.4043 data_time: 0.0209 memory: 17006 grad_norm: 10.9659 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1344 loss: 1.1344 2022/07/30 05:07:25 - mmengine - INFO - Epoch(train) [150][180/3757] lr: 7.1416e-04 eta: 13:28:41 time: 0.4102 data_time: 0.0207 memory: 17006 grad_norm: 11.0405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5703 loss: 1.5703 2022/07/30 05:07:34 - mmengine - INFO - Epoch(train) [150][200/3757] lr: 7.1416e-04 eta: 13:28:33 time: 0.4075 data_time: 0.0222 memory: 17006 grad_norm: 11.5511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3060 loss: 1.3060 2022/07/30 05:07:36 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:07:42 - mmengine - INFO - Epoch(train) [150][220/3757] lr: 7.1416e-04 eta: 13:28:24 time: 0.4047 data_time: 0.0183 memory: 17006 grad_norm: 11.4570 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2568 loss: 1.2568 2022/07/30 05:07:50 - mmengine - INFO - Epoch(train) [150][240/3757] lr: 7.1416e-04 eta: 13:28:16 time: 0.4162 data_time: 0.0247 memory: 17006 grad_norm: 11.1255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2177 loss: 1.2177 2022/07/30 05:07:58 - mmengine - INFO - Epoch(train) [150][260/3757] lr: 7.1416e-04 eta: 13:28:07 time: 0.4040 data_time: 0.0204 memory: 17006 grad_norm: 11.1145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4128 loss: 1.4128 2022/07/30 05:08:07 - mmengine - INFO - Epoch(train) [150][280/3757] lr: 7.1416e-04 eta: 13:27:59 time: 0.4255 data_time: 0.0204 memory: 17006 grad_norm: 11.2645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/07/30 05:08:16 - mmengine - INFO - Epoch(train) [150][300/3757] lr: 7.1416e-04 eta: 13:27:51 time: 0.4520 data_time: 0.0199 memory: 17006 grad_norm: 11.2093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3612 loss: 1.3612 2022/07/30 05:08:24 - mmengine - INFO - Epoch(train) [150][320/3757] lr: 7.1416e-04 eta: 13:27:43 time: 0.4052 data_time: 0.0208 memory: 17006 grad_norm: 11.1493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3454 loss: 1.3454 2022/07/30 05:08:32 - mmengine - INFO - Epoch(train) [150][340/3757] lr: 7.1416e-04 eta: 13:27:35 time: 0.4218 data_time: 0.0212 memory: 17006 grad_norm: 10.8650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1787 loss: 1.1787 2022/07/30 05:08:41 - mmengine - INFO - Epoch(train) [150][360/3757] lr: 7.1416e-04 eta: 13:27:26 time: 0.4128 data_time: 0.0211 memory: 17006 grad_norm: 10.8681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3625 loss: 1.3625 2022/07/30 05:08:49 - mmengine - INFO - Epoch(train) [150][380/3757] lr: 7.1416e-04 eta: 13:27:18 time: 0.4107 data_time: 0.0199 memory: 17006 grad_norm: 11.3890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3488 loss: 1.3488 2022/07/30 05:08:57 - mmengine - INFO - Epoch(train) [150][400/3757] lr: 7.1416e-04 eta: 13:27:09 time: 0.4233 data_time: 0.0222 memory: 17006 grad_norm: 11.0494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0189 loss: 1.0189 2022/07/30 05:09:06 - mmengine - INFO - Epoch(train) [150][420/3757] lr: 7.1416e-04 eta: 13:27:01 time: 0.4062 data_time: 0.0191 memory: 17006 grad_norm: 11.1341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1878 loss: 1.1878 2022/07/30 05:09:14 - mmengine - INFO - Epoch(train) [150][440/3757] lr: 7.1416e-04 eta: 13:26:52 time: 0.4056 data_time: 0.0218 memory: 17006 grad_norm: 11.4985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7158 loss: 1.7158 2022/07/30 05:09:22 - mmengine - INFO - Epoch(train) [150][460/3757] lr: 7.1416e-04 eta: 13:26:44 time: 0.4104 data_time: 0.0199 memory: 17006 grad_norm: 11.1425 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9959 loss: 0.9959 2022/07/30 05:09:31 - mmengine - INFO - Epoch(train) [150][480/3757] lr: 7.1416e-04 eta: 13:26:36 time: 0.4441 data_time: 0.0222 memory: 17006 grad_norm: 11.1356 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0532 loss: 1.0532 2022/07/30 05:09:39 - mmengine - INFO - Epoch(train) [150][500/3757] lr: 7.1416e-04 eta: 13:26:27 time: 0.4074 data_time: 0.0214 memory: 17006 grad_norm: 11.2364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2793 loss: 1.2793 2022/07/30 05:09:47 - mmengine - INFO - Epoch(train) [150][520/3757] lr: 7.1416e-04 eta: 13:26:19 time: 0.4062 data_time: 0.0205 memory: 17006 grad_norm: 11.0696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/07/30 05:09:55 - mmengine - INFO - Epoch(train) [150][540/3757] lr: 7.1416e-04 eta: 13:26:10 time: 0.4068 data_time: 0.0203 memory: 17006 grad_norm: 11.7024 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1224 loss: 1.1224 2022/07/30 05:10:03 - mmengine - INFO - Epoch(train) [150][560/3757] lr: 7.1416e-04 eta: 13:26:02 time: 0.4063 data_time: 0.0214 memory: 17006 grad_norm: 10.8720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4989 loss: 1.4989 2022/07/30 05:10:12 - mmengine - INFO - Epoch(train) [150][580/3757] lr: 7.1416e-04 eta: 13:25:53 time: 0.4056 data_time: 0.0186 memory: 17006 grad_norm: 11.4644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2044 loss: 1.2044 2022/07/30 05:10:20 - mmengine - INFO - Epoch(train) [150][600/3757] lr: 7.1416e-04 eta: 13:25:45 time: 0.4113 data_time: 0.0228 memory: 17006 grad_norm: 11.4225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5529 loss: 1.5529 2022/07/30 05:10:28 - mmengine - INFO - Epoch(train) [150][620/3757] lr: 7.1416e-04 eta: 13:25:37 time: 0.4247 data_time: 0.0200 memory: 17006 grad_norm: 11.0658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/07/30 05:10:37 - mmengine - INFO - Epoch(train) [150][640/3757] lr: 7.1416e-04 eta: 13:25:28 time: 0.4159 data_time: 0.0226 memory: 17006 grad_norm: 11.1875 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/07/30 05:10:45 - mmengine - INFO - Epoch(train) [150][660/3757] lr: 7.1416e-04 eta: 13:25:20 time: 0.4127 data_time: 0.0187 memory: 17006 grad_norm: 11.4358 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2952 loss: 1.2952 2022/07/30 05:10:53 - mmengine - INFO - Epoch(train) [150][680/3757] lr: 7.1416e-04 eta: 13:25:11 time: 0.4066 data_time: 0.0214 memory: 17006 grad_norm: 11.4891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3361 loss: 1.3361 2022/07/30 05:11:02 - mmengine - INFO - Epoch(train) [150][700/3757] lr: 7.1416e-04 eta: 13:25:03 time: 0.4208 data_time: 0.0205 memory: 17006 grad_norm: 10.8957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5494 loss: 1.5494 2022/07/30 05:11:10 - mmengine - INFO - Epoch(train) [150][720/3757] lr: 7.1416e-04 eta: 13:24:54 time: 0.4089 data_time: 0.0211 memory: 17006 grad_norm: 11.2656 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4687 loss: 1.4687 2022/07/30 05:11:18 - mmengine - INFO - Epoch(train) [150][740/3757] lr: 7.1416e-04 eta: 13:24:46 time: 0.4130 data_time: 0.0205 memory: 17006 grad_norm: 10.9228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3497 loss: 1.3497 2022/07/30 05:11:27 - mmengine - INFO - Epoch(train) [150][760/3757] lr: 7.1416e-04 eta: 13:24:38 time: 0.4252 data_time: 0.0225 memory: 17006 grad_norm: 11.2942 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2580 loss: 1.2580 2022/07/30 05:11:35 - mmengine - INFO - Epoch(train) [150][780/3757] lr: 7.1416e-04 eta: 13:24:29 time: 0.4073 data_time: 0.0193 memory: 17006 grad_norm: 11.4578 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4167 loss: 1.4167 2022/07/30 05:11:43 - mmengine - INFO - Epoch(train) [150][800/3757] lr: 7.1416e-04 eta: 13:24:21 time: 0.4135 data_time: 0.0207 memory: 17006 grad_norm: 11.4382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/07/30 05:11:52 - mmengine - INFO - Epoch(train) [150][820/3757] lr: 7.1416e-04 eta: 13:24:13 time: 0.4367 data_time: 0.0191 memory: 17006 grad_norm: 10.7011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1139 loss: 1.1139 2022/07/30 05:12:00 - mmengine - INFO - Epoch(train) [150][840/3757] lr: 7.1416e-04 eta: 13:24:05 time: 0.4272 data_time: 0.0246 memory: 17006 grad_norm: 10.5300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1777 loss: 1.1777 2022/07/30 05:12:09 - mmengine - INFO - Epoch(train) [150][860/3757] lr: 7.1416e-04 eta: 13:23:57 time: 0.4252 data_time: 0.0193 memory: 17006 grad_norm: 11.3306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6215 loss: 1.6215 2022/07/30 05:12:17 - mmengine - INFO - Epoch(train) [150][880/3757] lr: 7.1416e-04 eta: 13:23:48 time: 0.4237 data_time: 0.0232 memory: 17006 grad_norm: 11.2883 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2126 loss: 1.2126 2022/07/30 05:12:26 - mmengine - INFO - Epoch(train) [150][900/3757] lr: 7.1416e-04 eta: 13:23:40 time: 0.4356 data_time: 0.0192 memory: 17006 grad_norm: 10.8294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3221 loss: 1.3221 2022/07/30 05:12:34 - mmengine - INFO - Epoch(train) [150][920/3757] lr: 7.1416e-04 eta: 13:23:32 time: 0.4051 data_time: 0.0205 memory: 17006 grad_norm: 10.6534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1754 loss: 1.1754 2022/07/30 05:12:43 - mmengine - INFO - Epoch(train) [150][940/3757] lr: 7.1416e-04 eta: 13:23:23 time: 0.4145 data_time: 0.0203 memory: 17006 grad_norm: 10.5687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2348 loss: 1.2348 2022/07/30 05:12:51 - mmengine - INFO - Epoch(train) [150][960/3757] lr: 7.1416e-04 eta: 13:23:15 time: 0.4129 data_time: 0.0215 memory: 17006 grad_norm: 11.0328 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2595 loss: 1.2595 2022/07/30 05:13:00 - mmengine - INFO - Epoch(train) [150][980/3757] lr: 7.1416e-04 eta: 13:23:07 time: 0.4278 data_time: 0.0204 memory: 17006 grad_norm: 10.9274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3148 loss: 1.3148 2022/07/30 05:13:08 - mmengine - INFO - Epoch(train) [150][1000/3757] lr: 7.1416e-04 eta: 13:22:59 time: 0.4373 data_time: 0.0226 memory: 17006 grad_norm: 11.9502 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3215 loss: 1.3215 2022/07/30 05:13:17 - mmengine - INFO - Epoch(train) [150][1020/3757] lr: 7.1416e-04 eta: 13:22:50 time: 0.4165 data_time: 0.0192 memory: 17006 grad_norm: 11.1693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3113 loss: 1.3113 2022/07/30 05:13:25 - mmengine - INFO - Epoch(train) [150][1040/3757] lr: 7.1416e-04 eta: 13:22:42 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 11.3288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1529 loss: 1.1529 2022/07/30 05:13:33 - mmengine - INFO - Epoch(train) [150][1060/3757] lr: 7.1416e-04 eta: 13:22:33 time: 0.4049 data_time: 0.0178 memory: 17006 grad_norm: 10.6942 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4287 loss: 1.4287 2022/07/30 05:13:41 - mmengine - INFO - Epoch(train) [150][1080/3757] lr: 7.1416e-04 eta: 13:22:25 time: 0.4259 data_time: 0.0222 memory: 17006 grad_norm: 11.3182 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2527 loss: 1.2527 2022/07/30 05:13:50 - mmengine - INFO - Epoch(train) [150][1100/3757] lr: 7.1416e-04 eta: 13:22:17 time: 0.4082 data_time: 0.0219 memory: 17006 grad_norm: 11.1371 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.0653 loss: 1.0653 2022/07/30 05:13:59 - mmengine - INFO - Epoch(train) [150][1120/3757] lr: 7.1416e-04 eta: 13:22:09 time: 0.4597 data_time: 0.0220 memory: 17006 grad_norm: 11.4834 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4167 loss: 1.4167 2022/07/30 05:14:07 - mmengine - INFO - Epoch(train) [150][1140/3757] lr: 7.1416e-04 eta: 13:22:00 time: 0.4050 data_time: 0.0202 memory: 17006 grad_norm: 10.9897 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1619 loss: 1.1619 2022/07/30 05:14:16 - mmengine - INFO - Epoch(train) [150][1160/3757] lr: 7.1416e-04 eta: 13:21:52 time: 0.4272 data_time: 0.0204 memory: 17006 grad_norm: 11.1293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3036 loss: 1.3036 2022/07/30 05:14:24 - mmengine - INFO - Epoch(train) [150][1180/3757] lr: 7.1416e-04 eta: 13:21:44 time: 0.4107 data_time: 0.0201 memory: 17006 grad_norm: 11.3042 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4396 loss: 1.4396 2022/07/30 05:14:32 - mmengine - INFO - Epoch(train) [150][1200/3757] lr: 7.1416e-04 eta: 13:21:35 time: 0.4083 data_time: 0.0225 memory: 17006 grad_norm: 10.7667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4025 loss: 1.4025 2022/07/30 05:14:35 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:14:41 - mmengine - INFO - Epoch(train) [150][1220/3757] lr: 7.1416e-04 eta: 13:21:28 time: 0.4623 data_time: 0.0181 memory: 17006 grad_norm: 11.0267 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3843 loss: 1.3843 2022/07/30 05:14:50 - mmengine - INFO - Epoch(train) [150][1240/3757] lr: 7.1416e-04 eta: 13:21:19 time: 0.4105 data_time: 0.0220 memory: 17006 grad_norm: 11.0085 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2835 loss: 1.2835 2022/07/30 05:14:58 - mmengine - INFO - Epoch(train) [150][1260/3757] lr: 7.1416e-04 eta: 13:21:11 time: 0.4235 data_time: 0.0220 memory: 17006 grad_norm: 11.0855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1533 loss: 1.1533 2022/07/30 05:15:06 - mmengine - INFO - Epoch(train) [150][1280/3757] lr: 7.1416e-04 eta: 13:21:03 time: 0.4079 data_time: 0.0225 memory: 17006 grad_norm: 11.3311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0865 loss: 1.0865 2022/07/30 05:15:14 - mmengine - INFO - Epoch(train) [150][1300/3757] lr: 7.1416e-04 eta: 13:20:54 time: 0.4036 data_time: 0.0191 memory: 17006 grad_norm: 11.4782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2246 loss: 1.2246 2022/07/30 05:15:23 - mmengine - INFO - Epoch(train) [150][1320/3757] lr: 7.1416e-04 eta: 13:20:46 time: 0.4419 data_time: 0.0220 memory: 17006 grad_norm: 11.6803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3068 loss: 1.3068 2022/07/30 05:15:31 - mmengine - INFO - Epoch(train) [150][1340/3757] lr: 7.1416e-04 eta: 13:20:38 time: 0.4039 data_time: 0.0194 memory: 17006 grad_norm: 11.5892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2679 loss: 1.2679 2022/07/30 05:15:41 - mmengine - INFO - Epoch(train) [150][1360/3757] lr: 7.1416e-04 eta: 13:20:30 time: 0.4603 data_time: 0.0227 memory: 17006 grad_norm: 11.4679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1385 loss: 1.1385 2022/07/30 05:15:49 - mmengine - INFO - Epoch(train) [150][1380/3757] lr: 7.1416e-04 eta: 13:20:21 time: 0.4032 data_time: 0.0205 memory: 17006 grad_norm: 11.4585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3235 loss: 1.3235 2022/07/30 05:15:57 - mmengine - INFO - Epoch(train) [150][1400/3757] lr: 7.1416e-04 eta: 13:20:13 time: 0.4376 data_time: 0.0237 memory: 17006 grad_norm: 11.2638 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3747 loss: 1.3747 2022/07/30 05:16:06 - mmengine - INFO - Epoch(train) [150][1420/3757] lr: 7.1416e-04 eta: 13:20:05 time: 0.4053 data_time: 0.0200 memory: 17006 grad_norm: 11.6392 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3516 loss: 1.3516 2022/07/30 05:16:14 - mmengine - INFO - Epoch(train) [150][1440/3757] lr: 7.1416e-04 eta: 13:19:56 time: 0.4044 data_time: 0.0198 memory: 17006 grad_norm: 11.2614 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3144 loss: 1.3144 2022/07/30 05:16:22 - mmengine - INFO - Epoch(train) [150][1460/3757] lr: 7.1416e-04 eta: 13:19:48 time: 0.4208 data_time: 0.0205 memory: 17006 grad_norm: 10.6500 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2311 loss: 1.2311 2022/07/30 05:16:31 - mmengine - INFO - Epoch(train) [150][1480/3757] lr: 7.1416e-04 eta: 13:19:40 time: 0.4212 data_time: 0.0222 memory: 17006 grad_norm: 11.5744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1358 loss: 1.1358 2022/07/30 05:16:39 - mmengine - INFO - Epoch(train) [150][1500/3757] lr: 7.1416e-04 eta: 13:19:31 time: 0.4246 data_time: 0.0209 memory: 17006 grad_norm: 11.7774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0925 loss: 1.0925 2022/07/30 05:16:47 - mmengine - INFO - Epoch(train) [150][1520/3757] lr: 7.1416e-04 eta: 13:19:23 time: 0.4057 data_time: 0.0216 memory: 17006 grad_norm: 11.6813 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3394 loss: 1.3394 2022/07/30 05:16:56 - mmengine - INFO - Epoch(train) [150][1540/3757] lr: 7.1416e-04 eta: 13:19:15 time: 0.4165 data_time: 0.0206 memory: 17006 grad_norm: 10.7939 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4584 loss: 1.4584 2022/07/30 05:17:04 - mmengine - INFO - Epoch(train) [150][1560/3757] lr: 7.1416e-04 eta: 13:19:06 time: 0.4065 data_time: 0.0223 memory: 17006 grad_norm: 11.2878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3532 loss: 1.3532 2022/07/30 05:17:12 - mmengine - INFO - Epoch(train) [150][1580/3757] lr: 7.1416e-04 eta: 13:18:58 time: 0.4232 data_time: 0.0199 memory: 17006 grad_norm: 11.1998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0549 loss: 1.0549 2022/07/30 05:17:20 - mmengine - INFO - Epoch(train) [150][1600/3757] lr: 7.1416e-04 eta: 13:18:49 time: 0.4090 data_time: 0.0253 memory: 17006 grad_norm: 10.8340 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4041 loss: 1.4041 2022/07/30 05:17:29 - mmengine - INFO - Epoch(train) [150][1620/3757] lr: 7.1416e-04 eta: 13:18:41 time: 0.4119 data_time: 0.0195 memory: 17006 grad_norm: 11.3016 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3498 loss: 1.3498 2022/07/30 05:17:37 - mmengine - INFO - Epoch(train) [150][1640/3757] lr: 7.1416e-04 eta: 13:18:32 time: 0.4057 data_time: 0.0227 memory: 17006 grad_norm: 11.6937 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2417 loss: 1.2417 2022/07/30 05:17:45 - mmengine - INFO - Epoch(train) [150][1660/3757] lr: 7.1416e-04 eta: 13:18:24 time: 0.4045 data_time: 0.0187 memory: 17006 grad_norm: 11.4638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2833 loss: 1.2833 2022/07/30 05:17:54 - mmengine - INFO - Epoch(train) [150][1680/3757] lr: 7.1416e-04 eta: 13:18:16 time: 0.4339 data_time: 0.0226 memory: 17006 grad_norm: 11.1988 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2814 loss: 1.2814 2022/07/30 05:18:02 - mmengine - INFO - Epoch(train) [150][1700/3757] lr: 7.1416e-04 eta: 13:18:07 time: 0.4133 data_time: 0.0201 memory: 17006 grad_norm: 11.5267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3383 loss: 1.3383 2022/07/30 05:18:11 - mmengine - INFO - Epoch(train) [150][1720/3757] lr: 7.1416e-04 eta: 13:17:59 time: 0.4320 data_time: 0.0232 memory: 17006 grad_norm: 11.6427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4087 loss: 1.4087 2022/07/30 05:18:19 - mmengine - INFO - Epoch(train) [150][1740/3757] lr: 7.1416e-04 eta: 13:17:51 time: 0.4046 data_time: 0.0191 memory: 17006 grad_norm: 11.7607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3042 loss: 1.3042 2022/07/30 05:18:27 - mmengine - INFO - Epoch(train) [150][1760/3757] lr: 7.1416e-04 eta: 13:17:43 time: 0.4306 data_time: 0.0232 memory: 17006 grad_norm: 11.0980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1725 loss: 1.1725 2022/07/30 05:18:35 - mmengine - INFO - Epoch(train) [150][1780/3757] lr: 7.1416e-04 eta: 13:17:34 time: 0.4044 data_time: 0.0198 memory: 17006 grad_norm: 11.3418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2458 loss: 1.2458 2022/07/30 05:18:44 - mmengine - INFO - Epoch(train) [150][1800/3757] lr: 7.1416e-04 eta: 13:17:25 time: 0.4042 data_time: 0.0202 memory: 17006 grad_norm: 11.0392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1001 loss: 1.1001 2022/07/30 05:18:53 - mmengine - INFO - Epoch(train) [150][1820/3757] lr: 7.1416e-04 eta: 13:17:18 time: 0.4556 data_time: 0.0202 memory: 17006 grad_norm: 11.1671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1310 loss: 1.1310 2022/07/30 05:19:01 - mmengine - INFO - Epoch(train) [150][1840/3757] lr: 7.1416e-04 eta: 13:17:09 time: 0.4070 data_time: 0.0225 memory: 17006 grad_norm: 10.9576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0867 loss: 1.0867 2022/07/30 05:19:09 - mmengine - INFO - Epoch(train) [150][1860/3757] lr: 7.1416e-04 eta: 13:17:01 time: 0.4246 data_time: 0.0209 memory: 17006 grad_norm: 11.0187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2286 loss: 1.2286 2022/07/30 05:19:18 - mmengine - INFO - Epoch(train) [150][1880/3757] lr: 7.1416e-04 eta: 13:16:52 time: 0.4064 data_time: 0.0207 memory: 17006 grad_norm: 10.7061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2156 loss: 1.2156 2022/07/30 05:19:26 - mmengine - INFO - Epoch(train) [150][1900/3757] lr: 7.1416e-04 eta: 13:16:44 time: 0.4177 data_time: 0.0188 memory: 17006 grad_norm: 10.8936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3172 loss: 1.3172 2022/07/30 05:19:34 - mmengine - INFO - Epoch(train) [150][1920/3757] lr: 7.1416e-04 eta: 13:16:36 time: 0.4070 data_time: 0.0205 memory: 17006 grad_norm: 11.2425 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3529 loss: 1.3529 2022/07/30 05:19:42 - mmengine - INFO - Epoch(train) [150][1940/3757] lr: 7.1416e-04 eta: 13:16:27 time: 0.4043 data_time: 0.0179 memory: 17006 grad_norm: 11.2721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3957 loss: 1.3957 2022/07/30 05:19:51 - mmengine - INFO - Epoch(train) [150][1960/3757] lr: 7.1416e-04 eta: 13:16:19 time: 0.4132 data_time: 0.0229 memory: 17006 grad_norm: 11.1516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1796 loss: 1.1796 2022/07/30 05:19:59 - mmengine - INFO - Epoch(train) [150][1980/3757] lr: 7.1416e-04 eta: 13:16:10 time: 0.4036 data_time: 0.0185 memory: 17006 grad_norm: 11.1005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3313 loss: 1.3313 2022/07/30 05:20:07 - mmengine - INFO - Epoch(train) [150][2000/3757] lr: 7.1416e-04 eta: 13:16:02 time: 0.4291 data_time: 0.0229 memory: 17006 grad_norm: 11.3793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3686 loss: 1.3686 2022/07/30 05:20:15 - mmengine - INFO - Epoch(train) [150][2020/3757] lr: 7.1416e-04 eta: 13:15:53 time: 0.4055 data_time: 0.0191 memory: 17006 grad_norm: 10.9886 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1286 loss: 1.1286 2022/07/30 05:20:24 - mmengine - INFO - Epoch(train) [150][2040/3757] lr: 7.1416e-04 eta: 13:15:45 time: 0.4050 data_time: 0.0208 memory: 17006 grad_norm: 11.3600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3087 loss: 1.3087 2022/07/30 05:20:32 - mmengine - INFO - Epoch(train) [150][2060/3757] lr: 7.1416e-04 eta: 13:15:37 time: 0.4446 data_time: 0.0200 memory: 17006 grad_norm: 11.0937 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2890 loss: 1.2890 2022/07/30 05:20:41 - mmengine - INFO - Epoch(train) [150][2080/3757] lr: 7.1416e-04 eta: 13:15:28 time: 0.4078 data_time: 0.0214 memory: 17006 grad_norm: 10.8865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2899 loss: 1.2899 2022/07/30 05:20:49 - mmengine - INFO - Epoch(train) [150][2100/3757] lr: 7.1416e-04 eta: 13:15:20 time: 0.4395 data_time: 0.0215 memory: 17006 grad_norm: 11.4244 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1099 loss: 1.1099 2022/07/30 05:20:58 - mmengine - INFO - Epoch(train) [150][2120/3757] lr: 7.1416e-04 eta: 13:15:12 time: 0.4090 data_time: 0.0219 memory: 17006 grad_norm: 11.5660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4151 loss: 1.4151 2022/07/30 05:21:06 - mmengine - INFO - Epoch(train) [150][2140/3757] lr: 7.1416e-04 eta: 13:15:04 time: 0.4146 data_time: 0.0184 memory: 17006 grad_norm: 11.0499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4319 loss: 1.4319 2022/07/30 05:21:14 - mmengine - INFO - Epoch(train) [150][2160/3757] lr: 7.1416e-04 eta: 13:14:55 time: 0.4070 data_time: 0.0224 memory: 17006 grad_norm: 11.1089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/07/30 05:21:23 - mmengine - INFO - Epoch(train) [150][2180/3757] lr: 7.1416e-04 eta: 13:14:47 time: 0.4252 data_time: 0.0195 memory: 17006 grad_norm: 11.0292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/07/30 05:21:31 - mmengine - INFO - Epoch(train) [150][2200/3757] lr: 7.1416e-04 eta: 13:14:38 time: 0.4204 data_time: 0.0224 memory: 17006 grad_norm: 11.9385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1068 loss: 1.1068 2022/07/30 05:21:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:21:39 - mmengine - INFO - Epoch(train) [150][2220/3757] lr: 7.1416e-04 eta: 13:14:30 time: 0.4135 data_time: 0.0189 memory: 17006 grad_norm: 11.3426 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2392 loss: 1.2392 2022/07/30 05:21:48 - mmengine - INFO - Epoch(train) [150][2240/3757] lr: 7.1416e-04 eta: 13:14:22 time: 0.4133 data_time: 0.0214 memory: 17006 grad_norm: 10.9684 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2425 loss: 1.2425 2022/07/30 05:21:56 - mmengine - INFO - Epoch(train) [150][2260/3757] lr: 7.1416e-04 eta: 13:14:14 time: 0.4385 data_time: 0.0189 memory: 17006 grad_norm: 11.2239 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2852 loss: 1.2852 2022/07/30 05:22:05 - mmengine - INFO - Epoch(train) [150][2280/3757] lr: 7.1416e-04 eta: 13:14:05 time: 0.4037 data_time: 0.0204 memory: 17006 grad_norm: 10.9438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3298 loss: 1.3298 2022/07/30 05:22:13 - mmengine - INFO - Epoch(train) [150][2300/3757] lr: 7.1416e-04 eta: 13:13:57 time: 0.4172 data_time: 0.0194 memory: 17006 grad_norm: 11.5740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2096 loss: 1.2096 2022/07/30 05:22:21 - mmengine - INFO - Epoch(train) [150][2320/3757] lr: 7.1416e-04 eta: 13:13:48 time: 0.4157 data_time: 0.0211 memory: 17006 grad_norm: 11.3027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3207 loss: 1.3207 2022/07/30 05:22:30 - mmengine - INFO - Epoch(train) [150][2340/3757] lr: 7.1416e-04 eta: 13:13:40 time: 0.4129 data_time: 0.0224 memory: 17006 grad_norm: 11.0806 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1475 loss: 1.1475 2022/07/30 05:22:39 - mmengine - INFO - Epoch(train) [150][2360/3757] lr: 7.1416e-04 eta: 13:13:32 time: 0.4492 data_time: 0.0219 memory: 17006 grad_norm: 10.9671 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6152 loss: 1.6152 2022/07/30 05:22:47 - mmengine - INFO - Epoch(train) [150][2380/3757] lr: 7.1416e-04 eta: 13:13:24 time: 0.4211 data_time: 0.0220 memory: 17006 grad_norm: 10.8490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9662 loss: 0.9662 2022/07/30 05:22:55 - mmengine - INFO - Epoch(train) [150][2400/3757] lr: 7.1416e-04 eta: 13:13:15 time: 0.4061 data_time: 0.0210 memory: 17006 grad_norm: 11.4248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1656 loss: 1.1656 2022/07/30 05:23:03 - mmengine - INFO - Epoch(train) [150][2420/3757] lr: 7.1416e-04 eta: 13:13:07 time: 0.4055 data_time: 0.0196 memory: 17006 grad_norm: 11.2014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5495 loss: 1.5495 2022/07/30 05:23:12 - mmengine - INFO - Epoch(train) [150][2440/3757] lr: 7.1416e-04 eta: 13:12:58 time: 0.4147 data_time: 0.0223 memory: 17006 grad_norm: 10.8020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0717 loss: 1.0717 2022/07/30 05:23:20 - mmengine - INFO - Epoch(train) [150][2460/3757] lr: 7.1416e-04 eta: 13:12:50 time: 0.4319 data_time: 0.0223 memory: 17006 grad_norm: 10.7686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0810 loss: 1.0810 2022/07/30 05:23:29 - mmengine - INFO - Epoch(train) [150][2480/3757] lr: 7.1416e-04 eta: 13:12:42 time: 0.4210 data_time: 0.0237 memory: 17006 grad_norm: 10.9614 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3057 loss: 1.3057 2022/07/30 05:23:37 - mmengine - INFO - Epoch(train) [150][2500/3757] lr: 7.1416e-04 eta: 13:12:34 time: 0.4116 data_time: 0.0189 memory: 17006 grad_norm: 10.9413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3478 loss: 1.3478 2022/07/30 05:23:45 - mmengine - INFO - Epoch(train) [150][2520/3757] lr: 7.1416e-04 eta: 13:12:25 time: 0.4064 data_time: 0.0220 memory: 17006 grad_norm: 11.0100 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3140 loss: 1.3140 2022/07/30 05:23:54 - mmengine - INFO - Epoch(train) [150][2540/3757] lr: 7.1416e-04 eta: 13:12:17 time: 0.4175 data_time: 0.0194 memory: 17006 grad_norm: 11.0401 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2678 loss: 1.2678 2022/07/30 05:24:02 - mmengine - INFO - Epoch(train) [150][2560/3757] lr: 7.1416e-04 eta: 13:12:08 time: 0.4218 data_time: 0.0207 memory: 17006 grad_norm: 11.6589 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/07/30 05:24:10 - mmengine - INFO - Epoch(train) [150][2580/3757] lr: 7.1416e-04 eta: 13:12:00 time: 0.4219 data_time: 0.0208 memory: 17006 grad_norm: 11.5699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6836 loss: 1.6836 2022/07/30 05:24:19 - mmengine - INFO - Epoch(train) [150][2600/3757] lr: 7.1416e-04 eta: 13:11:52 time: 0.4080 data_time: 0.0219 memory: 17006 grad_norm: 11.2546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2341 loss: 1.2341 2022/07/30 05:24:28 - mmengine - INFO - Epoch(train) [150][2620/3757] lr: 7.1416e-04 eta: 13:11:44 time: 0.4657 data_time: 0.0234 memory: 17006 grad_norm: 11.4374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5406 loss: 1.5406 2022/07/30 05:24:36 - mmengine - INFO - Epoch(train) [150][2640/3757] lr: 7.1416e-04 eta: 13:11:36 time: 0.4070 data_time: 0.0204 memory: 17006 grad_norm: 11.1013 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3495 loss: 1.3495 2022/07/30 05:24:44 - mmengine - INFO - Epoch(train) [150][2660/3757] lr: 7.1416e-04 eta: 13:11:27 time: 0.4055 data_time: 0.0203 memory: 17006 grad_norm: 11.4097 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3871 loss: 1.3871 2022/07/30 05:24:53 - mmengine - INFO - Epoch(train) [150][2680/3757] lr: 7.1416e-04 eta: 13:11:19 time: 0.4230 data_time: 0.0224 memory: 17006 grad_norm: 11.5788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4236 loss: 1.4236 2022/07/30 05:25:01 - mmengine - INFO - Epoch(train) [150][2700/3757] lr: 7.1416e-04 eta: 13:11:10 time: 0.4064 data_time: 0.0185 memory: 17006 grad_norm: 11.2494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5055 loss: 1.5055 2022/07/30 05:25:09 - mmengine - INFO - Epoch(train) [150][2720/3757] lr: 7.1416e-04 eta: 13:11:02 time: 0.4228 data_time: 0.0255 memory: 17006 grad_norm: 11.6258 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3241 loss: 1.3241 2022/07/30 05:25:18 - mmengine - INFO - Epoch(train) [150][2740/3757] lr: 7.1416e-04 eta: 13:10:54 time: 0.4036 data_time: 0.0192 memory: 17006 grad_norm: 11.7808 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4704 loss: 1.4704 2022/07/30 05:25:26 - mmengine - INFO - Epoch(train) [150][2760/3757] lr: 7.1416e-04 eta: 13:10:45 time: 0.4042 data_time: 0.0207 memory: 17006 grad_norm: 11.5973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1414 loss: 1.1414 2022/07/30 05:25:34 - mmengine - INFO - Epoch(train) [150][2780/3757] lr: 7.1416e-04 eta: 13:10:36 time: 0.4122 data_time: 0.0207 memory: 17006 grad_norm: 11.9797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5549 loss: 1.5549 2022/07/30 05:25:42 - mmengine - INFO - Epoch(train) [150][2800/3757] lr: 7.1416e-04 eta: 13:10:28 time: 0.4082 data_time: 0.0224 memory: 17006 grad_norm: 11.4220 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2279 loss: 1.2279 2022/07/30 05:25:51 - mmengine - INFO - Epoch(train) [150][2820/3757] lr: 7.1416e-04 eta: 13:10:20 time: 0.4427 data_time: 0.0197 memory: 17006 grad_norm: 10.8630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3116 loss: 1.3116 2022/07/30 05:25:59 - mmengine - INFO - Epoch(train) [150][2840/3757] lr: 7.1416e-04 eta: 13:10:12 time: 0.4078 data_time: 0.0246 memory: 17006 grad_norm: 10.9276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/07/30 05:26:08 - mmengine - INFO - Epoch(train) [150][2860/3757] lr: 7.1416e-04 eta: 13:10:04 time: 0.4506 data_time: 0.0195 memory: 17006 grad_norm: 11.1545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1289 loss: 1.1289 2022/07/30 05:26:16 - mmengine - INFO - Epoch(train) [150][2880/3757] lr: 7.1416e-04 eta: 13:09:55 time: 0.4058 data_time: 0.0218 memory: 17006 grad_norm: 11.6549 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1860 loss: 1.1860 2022/07/30 05:26:24 - mmengine - INFO - Epoch(train) [150][2900/3757] lr: 7.1416e-04 eta: 13:09:47 time: 0.4050 data_time: 0.0185 memory: 17006 grad_norm: 11.4700 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5609 loss: 1.5609 2022/07/30 05:26:33 - mmengine - INFO - Epoch(train) [150][2920/3757] lr: 7.1416e-04 eta: 13:09:39 time: 0.4258 data_time: 0.0234 memory: 17006 grad_norm: 11.2108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1069 loss: 1.1069 2022/07/30 05:26:41 - mmengine - INFO - Epoch(train) [150][2940/3757] lr: 7.1416e-04 eta: 13:09:30 time: 0.4073 data_time: 0.0187 memory: 17006 grad_norm: 11.8286 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0321 loss: 1.0321 2022/07/30 05:26:50 - mmengine - INFO - Epoch(train) [150][2960/3757] lr: 7.1416e-04 eta: 13:09:22 time: 0.4497 data_time: 0.0223 memory: 17006 grad_norm: 10.7477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3025 loss: 1.3025 2022/07/30 05:26:58 - mmengine - INFO - Epoch(train) [150][2980/3757] lr: 7.1416e-04 eta: 13:09:14 time: 0.4063 data_time: 0.0203 memory: 17006 grad_norm: 11.0925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3201 loss: 1.3201 2022/07/30 05:27:07 - mmengine - INFO - Epoch(train) [150][3000/3757] lr: 7.1416e-04 eta: 13:09:06 time: 0.4269 data_time: 0.0236 memory: 17006 grad_norm: 11.2166 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3423 loss: 1.3423 2022/07/30 05:27:15 - mmengine - INFO - Epoch(train) [150][3020/3757] lr: 7.1416e-04 eta: 13:08:57 time: 0.4044 data_time: 0.0195 memory: 17006 grad_norm: 11.2678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2946 loss: 1.2946 2022/07/30 05:27:23 - mmengine - INFO - Epoch(train) [150][3040/3757] lr: 7.1416e-04 eta: 13:08:48 time: 0.4103 data_time: 0.0203 memory: 17006 grad_norm: 11.7261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4374 loss: 1.4374 2022/07/30 05:27:32 - mmengine - INFO - Epoch(train) [150][3060/3757] lr: 7.1416e-04 eta: 13:08:40 time: 0.4379 data_time: 0.0222 memory: 17006 grad_norm: 11.1271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1388 loss: 1.1388 2022/07/30 05:27:40 - mmengine - INFO - Epoch(train) [150][3080/3757] lr: 7.1416e-04 eta: 13:08:32 time: 0.4061 data_time: 0.0217 memory: 17006 grad_norm: 11.1361 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2165 loss: 1.2165 2022/07/30 05:27:49 - mmengine - INFO - Epoch(train) [150][3100/3757] lr: 7.1416e-04 eta: 13:08:24 time: 0.4415 data_time: 0.0214 memory: 17006 grad_norm: 11.2429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5613 loss: 1.5613 2022/07/30 05:27:57 - mmengine - INFO - Epoch(train) [150][3120/3757] lr: 7.1416e-04 eta: 13:08:15 time: 0.4062 data_time: 0.0210 memory: 17006 grad_norm: 11.4017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1312 loss: 1.1312 2022/07/30 05:28:05 - mmengine - INFO - Epoch(train) [150][3140/3757] lr: 7.1416e-04 eta: 13:08:07 time: 0.4051 data_time: 0.0193 memory: 17006 grad_norm: 11.0047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2701 loss: 1.2701 2022/07/30 05:28:14 - mmengine - INFO - Epoch(train) [150][3160/3757] lr: 7.1416e-04 eta: 13:07:59 time: 0.4182 data_time: 0.0229 memory: 17006 grad_norm: 11.4427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3652 loss: 1.3652 2022/07/30 05:28:22 - mmengine - INFO - Epoch(train) [150][3180/3757] lr: 7.1416e-04 eta: 13:07:50 time: 0.4106 data_time: 0.0210 memory: 17006 grad_norm: 11.2166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2702 loss: 1.2702 2022/07/30 05:28:30 - mmengine - INFO - Epoch(train) [150][3200/3757] lr: 7.1416e-04 eta: 13:07:42 time: 0.4160 data_time: 0.0214 memory: 17006 grad_norm: 11.6016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3777 loss: 1.3777 2022/07/30 05:28:33 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:28:39 - mmengine - INFO - Epoch(train) [150][3220/3757] lr: 7.1416e-04 eta: 13:07:33 time: 0.4116 data_time: 0.0196 memory: 17006 grad_norm: 11.1521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0414 loss: 1.0414 2022/07/30 05:28:47 - mmengine - INFO - Epoch(train) [150][3240/3757] lr: 7.1416e-04 eta: 13:07:25 time: 0.4107 data_time: 0.0228 memory: 17006 grad_norm: 12.0466 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3815 loss: 1.3815 2022/07/30 05:28:55 - mmengine - INFO - Epoch(train) [150][3260/3757] lr: 7.1416e-04 eta: 13:07:16 time: 0.4045 data_time: 0.0206 memory: 17006 grad_norm: 11.3622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3609 loss: 1.3609 2022/07/30 05:29:03 - mmengine - INFO - Epoch(train) [150][3280/3757] lr: 7.1416e-04 eta: 13:07:08 time: 0.4122 data_time: 0.0233 memory: 17006 grad_norm: 11.6266 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5272 loss: 1.5272 2022/07/30 05:29:12 - mmengine - INFO - Epoch(train) [150][3300/3757] lr: 7.1416e-04 eta: 13:07:00 time: 0.4275 data_time: 0.0227 memory: 17006 grad_norm: 11.6278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3963 loss: 1.3963 2022/07/30 05:29:20 - mmengine - INFO - Epoch(train) [150][3320/3757] lr: 7.1416e-04 eta: 13:06:51 time: 0.4120 data_time: 0.0216 memory: 17006 grad_norm: 10.8715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2768 loss: 1.2768 2022/07/30 05:29:28 - mmengine - INFO - Epoch(train) [150][3340/3757] lr: 7.1416e-04 eta: 13:06:43 time: 0.4116 data_time: 0.0207 memory: 17006 grad_norm: 10.9556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/07/30 05:29:37 - mmengine - INFO - Epoch(train) [150][3360/3757] lr: 7.1416e-04 eta: 13:06:34 time: 0.4091 data_time: 0.0206 memory: 17006 grad_norm: 11.3789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9933 loss: 0.9933 2022/07/30 05:29:45 - mmengine - INFO - Epoch(train) [150][3380/3757] lr: 7.1416e-04 eta: 13:06:26 time: 0.4056 data_time: 0.0193 memory: 17006 grad_norm: 11.4976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6648 loss: 1.6648 2022/07/30 05:29:53 - mmengine - INFO - Epoch(train) [150][3400/3757] lr: 7.1416e-04 eta: 13:06:17 time: 0.4188 data_time: 0.0252 memory: 17006 grad_norm: 11.3938 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3024 loss: 1.3024 2022/07/30 05:30:01 - mmengine - INFO - Epoch(train) [150][3420/3757] lr: 7.1416e-04 eta: 13:06:09 time: 0.4128 data_time: 0.0183 memory: 17006 grad_norm: 11.2998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/07/30 05:30:10 - mmengine - INFO - Epoch(train) [150][3440/3757] lr: 7.1416e-04 eta: 13:06:01 time: 0.4239 data_time: 0.0226 memory: 17006 grad_norm: 10.8986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1637 loss: 1.1637 2022/07/30 05:30:18 - mmengine - INFO - Epoch(train) [150][3460/3757] lr: 7.1416e-04 eta: 13:05:52 time: 0.4147 data_time: 0.0180 memory: 17006 grad_norm: 11.0813 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1147 loss: 1.1147 2022/07/30 05:30:26 - mmengine - INFO - Epoch(train) [150][3480/3757] lr: 7.1416e-04 eta: 13:05:44 time: 0.4048 data_time: 0.0214 memory: 17006 grad_norm: 11.0068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2518 loss: 1.2518 2022/07/30 05:30:35 - mmengine - INFO - Epoch(train) [150][3500/3757] lr: 7.1416e-04 eta: 13:05:35 time: 0.4134 data_time: 0.0255 memory: 17006 grad_norm: 11.3106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3186 loss: 1.3186 2022/07/30 05:30:43 - mmengine - INFO - Epoch(train) [150][3520/3757] lr: 7.1416e-04 eta: 13:05:27 time: 0.4069 data_time: 0.0209 memory: 17006 grad_norm: 11.2812 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3139 loss: 1.3139 2022/07/30 05:30:51 - mmengine - INFO - Epoch(train) [150][3540/3757] lr: 7.1416e-04 eta: 13:05:18 time: 0.4119 data_time: 0.0187 memory: 17006 grad_norm: 10.6707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1158 loss: 1.1158 2022/07/30 05:30:59 - mmengine - INFO - Epoch(train) [150][3560/3757] lr: 7.1416e-04 eta: 13:05:10 time: 0.4131 data_time: 0.0216 memory: 17006 grad_norm: 11.4955 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/07/30 05:31:08 - mmengine - INFO - Epoch(train) [150][3580/3757] lr: 7.1416e-04 eta: 13:05:02 time: 0.4229 data_time: 0.0197 memory: 17006 grad_norm: 11.7566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3250 loss: 1.3250 2022/07/30 05:31:16 - mmengine - INFO - Epoch(train) [150][3600/3757] lr: 7.1416e-04 eta: 13:04:53 time: 0.4057 data_time: 0.0214 memory: 17006 grad_norm: 11.1257 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1983 loss: 1.1983 2022/07/30 05:31:24 - mmengine - INFO - Epoch(train) [150][3620/3757] lr: 7.1416e-04 eta: 13:04:45 time: 0.4053 data_time: 0.0194 memory: 17006 grad_norm: 11.3761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0841 loss: 1.0841 2022/07/30 05:31:33 - mmengine - INFO - Epoch(train) [150][3640/3757] lr: 7.1416e-04 eta: 13:04:36 time: 0.4218 data_time: 0.0216 memory: 17006 grad_norm: 10.7850 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1606 loss: 1.1606 2022/07/30 05:31:41 - mmengine - INFO - Epoch(train) [150][3660/3757] lr: 7.1416e-04 eta: 13:04:28 time: 0.4091 data_time: 0.0195 memory: 17006 grad_norm: 11.3249 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4090 loss: 1.4090 2022/07/30 05:31:50 - mmengine - INFO - Epoch(train) [150][3680/3757] lr: 7.1416e-04 eta: 13:04:20 time: 0.4346 data_time: 0.0283 memory: 17006 grad_norm: 11.5773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3144 loss: 1.3144 2022/07/30 05:31:58 - mmengine - INFO - Epoch(train) [150][3700/3757] lr: 7.1416e-04 eta: 13:04:11 time: 0.4104 data_time: 0.0197 memory: 17006 grad_norm: 11.0566 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3966 loss: 1.3966 2022/07/30 05:32:06 - mmengine - INFO - Epoch(train) [150][3720/3757] lr: 7.1416e-04 eta: 13:04:03 time: 0.4072 data_time: 0.0220 memory: 17006 grad_norm: 10.9900 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3043 loss: 1.3043 2022/07/30 05:32:14 - mmengine - INFO - Epoch(train) [150][3740/3757] lr: 7.1416e-04 eta: 13:03:54 time: 0.4129 data_time: 0.0194 memory: 17006 grad_norm: 11.7023 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1873 loss: 1.1873 2022/07/30 05:32:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:32:22 - mmengine - INFO - Epoch(train) [150][3757/3757] lr: 7.1416e-04 eta: 13:03:54 time: 0.4295 data_time: 0.0217 memory: 17006 grad_norm: 11.3481 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.3649 loss: 1.3649 2022/07/30 05:32:22 - mmengine - INFO - Saving checkpoint at 150 epochs 2022/07/30 05:32:35 - mmengine - INFO - Epoch(train) [151][20/3757] lr: 6.6987e-04 eta: 13:03:33 time: 0.4536 data_time: 0.0674 memory: 17006 grad_norm: 11.0724 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5283 loss: 1.5283 2022/07/30 05:32:43 - mmengine - INFO - Epoch(train) [151][40/3757] lr: 6.6987e-04 eta: 13:03:25 time: 0.4224 data_time: 0.0231 memory: 17006 grad_norm: 10.8266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2793 loss: 1.2793 2022/07/30 05:32:51 - mmengine - INFO - Epoch(train) [151][60/3757] lr: 6.6987e-04 eta: 13:03:17 time: 0.4108 data_time: 0.0228 memory: 17006 grad_norm: 11.2723 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1350 loss: 1.1350 2022/07/30 05:33:00 - mmengine - INFO - Epoch(train) [151][80/3757] lr: 6.6987e-04 eta: 13:03:08 time: 0.4092 data_time: 0.0211 memory: 17006 grad_norm: 11.3205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1540 loss: 1.1540 2022/07/30 05:33:09 - mmengine - INFO - Epoch(train) [151][100/3757] lr: 6.6987e-04 eta: 13:03:00 time: 0.4449 data_time: 0.0257 memory: 17006 grad_norm: 11.4615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1723 loss: 1.1723 2022/07/30 05:33:17 - mmengine - INFO - Epoch(train) [151][120/3757] lr: 6.6987e-04 eta: 13:02:52 time: 0.4071 data_time: 0.0201 memory: 17006 grad_norm: 10.5589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2776 loss: 1.2776 2022/07/30 05:33:25 - mmengine - INFO - Epoch(train) [151][140/3757] lr: 6.6987e-04 eta: 13:02:43 time: 0.4067 data_time: 0.0211 memory: 17006 grad_norm: 11.2675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3917 loss: 1.3917 2022/07/30 05:33:34 - mmengine - INFO - Epoch(train) [151][160/3757] lr: 6.6987e-04 eta: 13:02:36 time: 0.4517 data_time: 0.0231 memory: 17006 grad_norm: 10.9345 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0329 loss: 1.0329 2022/07/30 05:33:42 - mmengine - INFO - Epoch(train) [151][180/3757] lr: 6.6987e-04 eta: 13:02:27 time: 0.4107 data_time: 0.0205 memory: 17006 grad_norm: 11.6425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1507 loss: 1.1507 2022/07/30 05:33:51 - mmengine - INFO - Epoch(train) [151][200/3757] lr: 6.6987e-04 eta: 13:02:19 time: 0.4164 data_time: 0.0223 memory: 17006 grad_norm: 11.2597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0430 loss: 1.0430 2022/07/30 05:33:59 - mmengine - INFO - Epoch(train) [151][220/3757] lr: 6.6987e-04 eta: 13:02:10 time: 0.4128 data_time: 0.0230 memory: 17006 grad_norm: 11.7397 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4917 loss: 1.4917 2022/07/30 05:34:07 - mmengine - INFO - Epoch(train) [151][240/3757] lr: 6.6987e-04 eta: 13:02:02 time: 0.4127 data_time: 0.0211 memory: 17006 grad_norm: 10.9762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/07/30 05:34:15 - mmengine - INFO - Epoch(train) [151][260/3757] lr: 6.6987e-04 eta: 13:01:53 time: 0.4055 data_time: 0.0192 memory: 17006 grad_norm: 11.0155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2456 loss: 1.2456 2022/07/30 05:34:24 - mmengine - INFO - Epoch(train) [151][280/3757] lr: 6.6987e-04 eta: 13:01:45 time: 0.4308 data_time: 0.0215 memory: 17006 grad_norm: 11.1274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4045 loss: 1.4045 2022/07/30 05:34:32 - mmengine - INFO - Epoch(train) [151][300/3757] lr: 6.6987e-04 eta: 13:01:37 time: 0.4106 data_time: 0.0237 memory: 17006 grad_norm: 10.9191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2772 loss: 1.2772 2022/07/30 05:34:41 - mmengine - INFO - Epoch(train) [151][320/3757] lr: 6.6987e-04 eta: 13:01:28 time: 0.4148 data_time: 0.0197 memory: 17006 grad_norm: 11.3879 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3815 loss: 1.3815 2022/07/30 05:34:49 - mmengine - INFO - Epoch(train) [151][340/3757] lr: 6.6987e-04 eta: 13:01:20 time: 0.4161 data_time: 0.0232 memory: 17006 grad_norm: 11.0173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3361 loss: 1.3361 2022/07/30 05:34:57 - mmengine - INFO - Epoch(train) [151][360/3757] lr: 6.6987e-04 eta: 13:01:12 time: 0.4055 data_time: 0.0211 memory: 17006 grad_norm: 11.3912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4628 loss: 1.4628 2022/07/30 05:35:05 - mmengine - INFO - Epoch(train) [151][380/3757] lr: 6.6987e-04 eta: 13:01:03 time: 0.4098 data_time: 0.0221 memory: 17006 grad_norm: 11.3062 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4898 loss: 1.4898 2022/07/30 05:35:13 - mmengine - INFO - Epoch(train) [151][400/3757] lr: 6.6987e-04 eta: 13:00:55 time: 0.4113 data_time: 0.0228 memory: 17006 grad_norm: 10.8457 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2659 loss: 1.2659 2022/07/30 05:35:22 - mmengine - INFO - Epoch(train) [151][420/3757] lr: 6.6987e-04 eta: 13:00:46 time: 0.4268 data_time: 0.0197 memory: 17006 grad_norm: 11.0342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1925 loss: 1.1925 2022/07/30 05:35:30 - mmengine - INFO - Epoch(train) [151][440/3757] lr: 6.6987e-04 eta: 13:00:38 time: 0.4111 data_time: 0.0222 memory: 17006 grad_norm: 11.0862 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2627 loss: 1.2627 2022/07/30 05:35:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:35:39 - mmengine - INFO - Epoch(train) [151][460/3757] lr: 6.6987e-04 eta: 13:00:30 time: 0.4369 data_time: 0.0215 memory: 17006 grad_norm: 11.5820 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5124 loss: 1.5124 2022/07/30 05:35:47 - mmengine - INFO - Epoch(train) [151][480/3757] lr: 6.6987e-04 eta: 13:00:22 time: 0.4106 data_time: 0.0225 memory: 17006 grad_norm: 10.9799 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3804 loss: 1.3804 2022/07/30 05:35:55 - mmengine - INFO - Epoch(train) [151][500/3757] lr: 6.6987e-04 eta: 13:00:13 time: 0.4071 data_time: 0.0195 memory: 17006 grad_norm: 11.4802 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3246 loss: 1.3246 2022/07/30 05:36:04 - mmengine - INFO - Epoch(train) [151][520/3757] lr: 6.6987e-04 eta: 13:00:05 time: 0.4360 data_time: 0.0212 memory: 17006 grad_norm: 10.9984 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1336 loss: 1.1336 2022/07/30 05:36:12 - mmengine - INFO - Epoch(train) [151][540/3757] lr: 6.6987e-04 eta: 12:59:56 time: 0.4087 data_time: 0.0239 memory: 17006 grad_norm: 11.0690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5611 loss: 1.5611 2022/07/30 05:36:21 - mmengine - INFO - Epoch(train) [151][560/3757] lr: 6.6987e-04 eta: 12:59:48 time: 0.4298 data_time: 0.0204 memory: 17006 grad_norm: 11.1537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1596 loss: 1.1596 2022/07/30 05:36:29 - mmengine - INFO - Epoch(train) [151][580/3757] lr: 6.6987e-04 eta: 12:59:40 time: 0.4096 data_time: 0.0230 memory: 17006 grad_norm: 11.0975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4180 loss: 1.4180 2022/07/30 05:36:38 - mmengine - INFO - Epoch(train) [151][600/3757] lr: 6.6987e-04 eta: 12:59:31 time: 0.4133 data_time: 0.0210 memory: 17006 grad_norm: 11.1528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3297 loss: 1.3297 2022/07/30 05:36:46 - mmengine - INFO - Epoch(train) [151][620/3757] lr: 6.6987e-04 eta: 12:59:23 time: 0.4060 data_time: 0.0211 memory: 17006 grad_norm: 10.9233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2837 loss: 1.2837 2022/07/30 05:36:54 - mmengine - INFO - Epoch(train) [151][640/3757] lr: 6.6987e-04 eta: 12:59:15 time: 0.4126 data_time: 0.0221 memory: 17006 grad_norm: 10.8008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1454 loss: 1.1454 2022/07/30 05:37:03 - mmengine - INFO - Epoch(train) [151][660/3757] lr: 6.6987e-04 eta: 12:59:06 time: 0.4360 data_time: 0.0206 memory: 17006 grad_norm: 11.3864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2149 loss: 1.2149 2022/07/30 05:37:11 - mmengine - INFO - Epoch(train) [151][680/3757] lr: 6.6987e-04 eta: 12:58:58 time: 0.4086 data_time: 0.0223 memory: 17006 grad_norm: 11.6556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0666 loss: 1.0666 2022/07/30 05:37:20 - mmengine - INFO - Epoch(train) [151][700/3757] lr: 6.6987e-04 eta: 12:58:50 time: 0.4306 data_time: 0.0223 memory: 17006 grad_norm: 11.3434 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0781 loss: 1.0781 2022/07/30 05:37:28 - mmengine - INFO - Epoch(train) [151][720/3757] lr: 6.6987e-04 eta: 12:58:42 time: 0.4165 data_time: 0.0232 memory: 17006 grad_norm: 11.3445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/07/30 05:37:36 - mmengine - INFO - Epoch(train) [151][740/3757] lr: 6.6987e-04 eta: 12:58:33 time: 0.4038 data_time: 0.0207 memory: 17006 grad_norm: 11.0030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4604 loss: 1.4604 2022/07/30 05:37:44 - mmengine - INFO - Epoch(train) [151][760/3757] lr: 6.6987e-04 eta: 12:58:25 time: 0.4128 data_time: 0.0207 memory: 17006 grad_norm: 11.4612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2402 loss: 1.2402 2022/07/30 05:37:53 - mmengine - INFO - Epoch(train) [151][780/3757] lr: 6.6987e-04 eta: 12:58:16 time: 0.4126 data_time: 0.0243 memory: 17006 grad_norm: 10.5718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3135 loss: 1.3135 2022/07/30 05:38:01 - mmengine - INFO - Epoch(train) [151][800/3757] lr: 6.6987e-04 eta: 12:58:08 time: 0.4126 data_time: 0.0207 memory: 17006 grad_norm: 11.7015 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1815 loss: 1.1815 2022/07/30 05:38:09 - mmengine - INFO - Epoch(train) [151][820/3757] lr: 6.6987e-04 eta: 12:57:59 time: 0.4136 data_time: 0.0233 memory: 17006 grad_norm: 11.3957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2429 loss: 1.2429 2022/07/30 05:38:17 - mmengine - INFO - Epoch(train) [151][840/3757] lr: 6.6987e-04 eta: 12:57:51 time: 0.4058 data_time: 0.0210 memory: 17006 grad_norm: 10.6006 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.0610 loss: 1.0610 2022/07/30 05:38:26 - mmengine - INFO - Epoch(train) [151][860/3757] lr: 6.6987e-04 eta: 12:57:43 time: 0.4271 data_time: 0.0208 memory: 17006 grad_norm: 11.0108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4728 loss: 1.4728 2022/07/30 05:38:34 - mmengine - INFO - Epoch(train) [151][880/3757] lr: 6.6987e-04 eta: 12:57:34 time: 0.4151 data_time: 0.0229 memory: 17006 grad_norm: 11.3814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2271 loss: 1.2271 2022/07/30 05:38:42 - mmengine - INFO - Epoch(train) [151][900/3757] lr: 6.6987e-04 eta: 12:57:26 time: 0.4104 data_time: 0.0213 memory: 17006 grad_norm: 11.2318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9660 loss: 0.9660 2022/07/30 05:38:51 - mmengine - INFO - Epoch(train) [151][920/3757] lr: 6.6987e-04 eta: 12:57:17 time: 0.4082 data_time: 0.0222 memory: 17006 grad_norm: 11.2774 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4740 loss: 1.4740 2022/07/30 05:38:59 - mmengine - INFO - Epoch(train) [151][940/3757] lr: 6.6987e-04 eta: 12:57:09 time: 0.4257 data_time: 0.0216 memory: 17006 grad_norm: 10.6003 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0491 loss: 1.0491 2022/07/30 05:39:07 - mmengine - INFO - Epoch(train) [151][960/3757] lr: 6.6987e-04 eta: 12:57:01 time: 0.4078 data_time: 0.0211 memory: 17006 grad_norm: 10.8163 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2713 loss: 1.2713 2022/07/30 05:39:16 - mmengine - INFO - Epoch(train) [151][980/3757] lr: 6.6987e-04 eta: 12:56:52 time: 0.4088 data_time: 0.0199 memory: 17006 grad_norm: 11.4143 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2159 loss: 1.2159 2022/07/30 05:39:24 - mmengine - INFO - Epoch(train) [151][1000/3757] lr: 6.6987e-04 eta: 12:56:44 time: 0.4113 data_time: 0.0214 memory: 17006 grad_norm: 11.5029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/07/30 05:39:32 - mmengine - INFO - Epoch(train) [151][1020/3757] lr: 6.6987e-04 eta: 12:56:35 time: 0.4194 data_time: 0.0228 memory: 17006 grad_norm: 11.1907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4060 loss: 1.4060 2022/07/30 05:39:40 - mmengine - INFO - Epoch(train) [151][1040/3757] lr: 6.6987e-04 eta: 12:56:27 time: 0.4116 data_time: 0.0207 memory: 17006 grad_norm: 10.6234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2664 loss: 1.2664 2022/07/30 05:39:49 - mmengine - INFO - Epoch(train) [151][1060/3757] lr: 6.6987e-04 eta: 12:56:18 time: 0.4144 data_time: 0.0241 memory: 17006 grad_norm: 11.2879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4608 loss: 1.4608 2022/07/30 05:39:57 - mmengine - INFO - Epoch(train) [151][1080/3757] lr: 6.6987e-04 eta: 12:56:10 time: 0.4053 data_time: 0.0203 memory: 17006 grad_norm: 11.5836 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2122 loss: 1.2122 2022/07/30 05:40:05 - mmengine - INFO - Epoch(train) [151][1100/3757] lr: 6.6987e-04 eta: 12:56:01 time: 0.4110 data_time: 0.0212 memory: 17006 grad_norm: 11.3049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1840 loss: 1.1840 2022/07/30 05:40:13 - mmengine - INFO - Epoch(train) [151][1120/3757] lr: 6.6987e-04 eta: 12:55:53 time: 0.4130 data_time: 0.0232 memory: 17006 grad_norm: 11.4374 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1395 loss: 1.1395 2022/07/30 05:40:22 - mmengine - INFO - Epoch(train) [151][1140/3757] lr: 6.6987e-04 eta: 12:55:45 time: 0.4127 data_time: 0.0200 memory: 17006 grad_norm: 11.0531 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2188 loss: 1.2188 2022/07/30 05:40:31 - mmengine - INFO - Epoch(train) [151][1160/3757] lr: 6.6987e-04 eta: 12:55:37 time: 0.4483 data_time: 0.0225 memory: 17006 grad_norm: 11.6265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3888 loss: 1.3888 2022/07/30 05:40:39 - mmengine - INFO - Epoch(train) [151][1180/3757] lr: 6.6987e-04 eta: 12:55:28 time: 0.4100 data_time: 0.0208 memory: 17006 grad_norm: 11.2973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0027 loss: 1.0027 2022/07/30 05:40:47 - mmengine - INFO - Epoch(train) [151][1200/3757] lr: 6.6987e-04 eta: 12:55:20 time: 0.4057 data_time: 0.0212 memory: 17006 grad_norm: 11.1841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3687 loss: 1.3687 2022/07/30 05:40:56 - mmengine - INFO - Epoch(train) [151][1220/3757] lr: 6.6987e-04 eta: 12:55:12 time: 0.4218 data_time: 0.0226 memory: 17006 grad_norm: 11.3173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4232 loss: 1.4232 2022/07/30 05:41:04 - mmengine - INFO - Epoch(train) [151][1240/3757] lr: 6.6987e-04 eta: 12:55:03 time: 0.4159 data_time: 0.0206 memory: 17006 grad_norm: 10.6512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1828 loss: 1.1828 2022/07/30 05:41:12 - mmengine - INFO - Epoch(train) [151][1260/3757] lr: 6.6987e-04 eta: 12:54:55 time: 0.4124 data_time: 0.0225 memory: 17006 grad_norm: 11.0140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4894 loss: 1.4894 2022/07/30 05:41:21 - mmengine - INFO - Epoch(train) [151][1280/3757] lr: 6.6987e-04 eta: 12:54:46 time: 0.4142 data_time: 0.0211 memory: 17006 grad_norm: 11.1957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9541 loss: 0.9541 2022/07/30 05:41:29 - mmengine - INFO - Epoch(train) [151][1300/3757] lr: 6.6987e-04 eta: 12:54:38 time: 0.4098 data_time: 0.0202 memory: 17006 grad_norm: 11.3850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5931 loss: 1.5931 2022/07/30 05:41:37 - mmengine - INFO - Epoch(train) [151][1320/3757] lr: 6.6987e-04 eta: 12:54:29 time: 0.4053 data_time: 0.0206 memory: 17006 grad_norm: 11.3109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9378 loss: 0.9378 2022/07/30 05:41:45 - mmengine - INFO - Epoch(train) [151][1340/3757] lr: 6.6987e-04 eta: 12:54:21 time: 0.4145 data_time: 0.0216 memory: 17006 grad_norm: 11.2772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4435 loss: 1.4435 2022/07/30 05:41:53 - mmengine - INFO - Epoch(train) [151][1360/3757] lr: 6.6987e-04 eta: 12:54:12 time: 0.4107 data_time: 0.0207 memory: 17006 grad_norm: 11.0710 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2367 loss: 1.2367 2022/07/30 05:42:02 - mmengine - INFO - Epoch(train) [151][1380/3757] lr: 6.6987e-04 eta: 12:54:04 time: 0.4125 data_time: 0.0219 memory: 17006 grad_norm: 10.9289 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2500 loss: 1.2500 2022/07/30 05:42:10 - mmengine - INFO - Epoch(train) [151][1400/3757] lr: 6.6987e-04 eta: 12:53:56 time: 0.4130 data_time: 0.0222 memory: 17006 grad_norm: 10.9388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3050 loss: 1.3050 2022/07/30 05:42:18 - mmengine - INFO - Epoch(train) [151][1420/3757] lr: 6.6987e-04 eta: 12:53:47 time: 0.4136 data_time: 0.0224 memory: 17006 grad_norm: 10.9979 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1057 loss: 1.1057 2022/07/30 05:42:26 - mmengine - INFO - Epoch(train) [151][1440/3757] lr: 6.6987e-04 eta: 12:53:39 time: 0.4066 data_time: 0.0212 memory: 17006 grad_norm: 12.1323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3037 loss: 1.3037 2022/07/30 05:42:31 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:42:35 - mmengine - INFO - Epoch(train) [151][1460/3757] lr: 6.6987e-04 eta: 12:53:30 time: 0.4159 data_time: 0.0219 memory: 17006 grad_norm: 11.0074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1481 loss: 1.1481 2022/07/30 05:42:43 - mmengine - INFO - Epoch(train) [151][1480/3757] lr: 6.6987e-04 eta: 12:53:22 time: 0.4114 data_time: 0.0216 memory: 17006 grad_norm: 11.2679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2853 loss: 1.2853 2022/07/30 05:42:52 - mmengine - INFO - Epoch(train) [151][1500/3757] lr: 6.6987e-04 eta: 12:53:14 time: 0.4253 data_time: 0.0232 memory: 17006 grad_norm: 11.3164 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3205 loss: 1.3205 2022/07/30 05:43:00 - mmengine - INFO - Epoch(train) [151][1520/3757] lr: 6.6987e-04 eta: 12:53:05 time: 0.4099 data_time: 0.0217 memory: 17006 grad_norm: 10.4230 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1270 loss: 1.1270 2022/07/30 05:43:08 - mmengine - INFO - Epoch(train) [151][1540/3757] lr: 6.6987e-04 eta: 12:52:57 time: 0.4151 data_time: 0.0205 memory: 17006 grad_norm: 11.4509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5522 loss: 1.5522 2022/07/30 05:43:16 - mmengine - INFO - Epoch(train) [151][1560/3757] lr: 6.6987e-04 eta: 12:52:48 time: 0.4057 data_time: 0.0198 memory: 17006 grad_norm: 11.1713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3794 loss: 1.3794 2022/07/30 05:43:25 - mmengine - INFO - Epoch(train) [151][1580/3757] lr: 6.6987e-04 eta: 12:52:40 time: 0.4130 data_time: 0.0217 memory: 17006 grad_norm: 11.3792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1493 loss: 1.1493 2022/07/30 05:43:33 - mmengine - INFO - Epoch(train) [151][1600/3757] lr: 6.6987e-04 eta: 12:52:32 time: 0.4179 data_time: 0.0227 memory: 17006 grad_norm: 11.4943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1129 loss: 1.1129 2022/07/30 05:43:41 - mmengine - INFO - Epoch(train) [151][1620/3757] lr: 6.6987e-04 eta: 12:52:23 time: 0.4150 data_time: 0.0219 memory: 17006 grad_norm: 10.9029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1470 loss: 1.1470 2022/07/30 05:43:49 - mmengine - INFO - Epoch(train) [151][1640/3757] lr: 6.6987e-04 eta: 12:52:15 time: 0.4088 data_time: 0.0223 memory: 17006 grad_norm: 11.4500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3209 loss: 1.3209 2022/07/30 05:43:58 - mmengine - INFO - Epoch(train) [151][1660/3757] lr: 6.6987e-04 eta: 12:52:06 time: 0.4059 data_time: 0.0213 memory: 17006 grad_norm: 11.6391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/07/30 05:44:06 - mmengine - INFO - Epoch(train) [151][1680/3757] lr: 6.6987e-04 eta: 12:51:58 time: 0.4098 data_time: 0.0204 memory: 17006 grad_norm: 11.8160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2315 loss: 1.2315 2022/07/30 05:44:15 - mmengine - INFO - Epoch(train) [151][1700/3757] lr: 6.6987e-04 eta: 12:51:50 time: 0.4367 data_time: 0.0225 memory: 17006 grad_norm: 11.4676 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3036 loss: 1.3036 2022/07/30 05:44:23 - mmengine - INFO - Epoch(train) [151][1720/3757] lr: 6.6987e-04 eta: 12:51:41 time: 0.4129 data_time: 0.0206 memory: 17006 grad_norm: 11.0432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9358 loss: 0.9358 2022/07/30 05:44:32 - mmengine - INFO - Epoch(train) [151][1740/3757] lr: 6.6987e-04 eta: 12:51:34 time: 0.4602 data_time: 0.0242 memory: 17006 grad_norm: 11.2979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6316 loss: 1.6316 2022/07/30 05:44:40 - mmengine - INFO - Epoch(train) [151][1760/3757] lr: 6.6987e-04 eta: 12:51:25 time: 0.4132 data_time: 0.0214 memory: 17006 grad_norm: 11.1524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1334 loss: 1.1334 2022/07/30 05:44:49 - mmengine - INFO - Epoch(train) [151][1780/3757] lr: 6.6987e-04 eta: 12:51:17 time: 0.4110 data_time: 0.0223 memory: 17006 grad_norm: 11.4810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2395 loss: 1.2395 2022/07/30 05:44:57 - mmengine - INFO - Epoch(train) [151][1800/3757] lr: 6.6987e-04 eta: 12:51:08 time: 0.4061 data_time: 0.0213 memory: 17006 grad_norm: 11.6882 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1209 loss: 1.1209 2022/07/30 05:45:05 - mmengine - INFO - Epoch(train) [151][1820/3757] lr: 6.6987e-04 eta: 12:51:00 time: 0.4098 data_time: 0.0206 memory: 17006 grad_norm: 11.4905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4572 loss: 1.4572 2022/07/30 05:45:13 - mmengine - INFO - Epoch(train) [151][1840/3757] lr: 6.6987e-04 eta: 12:50:51 time: 0.4084 data_time: 0.0224 memory: 17006 grad_norm: 11.1005 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9991 loss: 0.9991 2022/07/30 05:45:22 - mmengine - INFO - Epoch(train) [151][1860/3757] lr: 6.6987e-04 eta: 12:50:44 time: 0.4542 data_time: 0.0212 memory: 17006 grad_norm: 11.5951 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1557 loss: 1.1557 2022/07/30 05:45:31 - mmengine - INFO - Epoch(train) [151][1880/3757] lr: 6.6987e-04 eta: 12:50:35 time: 0.4127 data_time: 0.0228 memory: 17006 grad_norm: 11.8724 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4815 loss: 1.4815 2022/07/30 05:45:39 - mmengine - INFO - Epoch(train) [151][1900/3757] lr: 6.6987e-04 eta: 12:50:27 time: 0.4107 data_time: 0.0207 memory: 17006 grad_norm: 11.3158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9115 loss: 0.9115 2022/07/30 05:45:47 - mmengine - INFO - Epoch(train) [151][1920/3757] lr: 6.6987e-04 eta: 12:50:18 time: 0.4044 data_time: 0.0204 memory: 17006 grad_norm: 11.3418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3532 loss: 1.3532 2022/07/30 05:45:56 - mmengine - INFO - Epoch(train) [151][1940/3757] lr: 6.6987e-04 eta: 12:50:10 time: 0.4543 data_time: 0.0248 memory: 17006 grad_norm: 11.1734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4531 loss: 1.4531 2022/07/30 05:46:04 - mmengine - INFO - Epoch(train) [151][1960/3757] lr: 6.6987e-04 eta: 12:50:02 time: 0.4095 data_time: 0.0212 memory: 17006 grad_norm: 11.3436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2281 loss: 1.2281 2022/07/30 05:46:13 - mmengine - INFO - Epoch(train) [151][1980/3757] lr: 6.6987e-04 eta: 12:49:53 time: 0.4093 data_time: 0.0214 memory: 17006 grad_norm: 11.2260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4019 loss: 1.4019 2022/07/30 05:46:21 - mmengine - INFO - Epoch(train) [151][2000/3757] lr: 6.6987e-04 eta: 12:49:45 time: 0.4156 data_time: 0.0227 memory: 17006 grad_norm: 11.1270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5482 loss: 1.5482 2022/07/30 05:46:29 - mmengine - INFO - Epoch(train) [151][2020/3757] lr: 6.6987e-04 eta: 12:49:37 time: 0.4119 data_time: 0.0218 memory: 17006 grad_norm: 11.0112 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2185 loss: 1.2185 2022/07/30 05:46:37 - mmengine - INFO - Epoch(train) [151][2040/3757] lr: 6.6987e-04 eta: 12:49:28 time: 0.4062 data_time: 0.0215 memory: 17006 grad_norm: 11.6454 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6666 loss: 1.6666 2022/07/30 05:46:46 - mmengine - INFO - Epoch(train) [151][2060/3757] lr: 6.6987e-04 eta: 12:49:20 time: 0.4096 data_time: 0.0196 memory: 17006 grad_norm: 11.6695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2394 loss: 1.2394 2022/07/30 05:46:54 - mmengine - INFO - Epoch(train) [151][2080/3757] lr: 6.6987e-04 eta: 12:49:11 time: 0.4141 data_time: 0.0229 memory: 17006 grad_norm: 11.5342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/07/30 05:47:02 - mmengine - INFO - Epoch(train) [151][2100/3757] lr: 6.6987e-04 eta: 12:49:03 time: 0.4146 data_time: 0.0210 memory: 17006 grad_norm: 11.0516 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8261 loss: 0.8261 2022/07/30 05:47:10 - mmengine - INFO - Epoch(train) [151][2120/3757] lr: 6.6987e-04 eta: 12:48:54 time: 0.4115 data_time: 0.0223 memory: 17006 grad_norm: 10.4774 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2725 loss: 1.2725 2022/07/30 05:47:19 - mmengine - INFO - Epoch(train) [151][2140/3757] lr: 6.6987e-04 eta: 12:48:46 time: 0.4129 data_time: 0.0210 memory: 17006 grad_norm: 11.4747 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4268 loss: 1.4268 2022/07/30 05:47:27 - mmengine - INFO - Epoch(train) [151][2160/3757] lr: 6.6987e-04 eta: 12:48:38 time: 0.4057 data_time: 0.0211 memory: 17006 grad_norm: 10.8962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0777 loss: 1.0777 2022/07/30 05:47:35 - mmengine - INFO - Epoch(train) [151][2180/3757] lr: 6.6987e-04 eta: 12:48:29 time: 0.4107 data_time: 0.0223 memory: 17006 grad_norm: 11.4437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3496 loss: 1.3496 2022/07/30 05:47:44 - mmengine - INFO - Epoch(train) [151][2200/3757] lr: 6.6987e-04 eta: 12:48:21 time: 0.4208 data_time: 0.0223 memory: 17006 grad_norm: 11.4613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4633 loss: 1.4633 2022/07/30 05:47:52 - mmengine - INFO - Epoch(train) [151][2220/3757] lr: 6.6987e-04 eta: 12:48:12 time: 0.4087 data_time: 0.0229 memory: 17006 grad_norm: 11.4068 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1597 loss: 1.1597 2022/07/30 05:48:00 - mmengine - INFO - Epoch(train) [151][2240/3757] lr: 6.6987e-04 eta: 12:48:04 time: 0.4107 data_time: 0.0213 memory: 17006 grad_norm: 11.4271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6746 loss: 1.6746 2022/07/30 05:48:08 - mmengine - INFO - Epoch(train) [151][2260/3757] lr: 6.6987e-04 eta: 12:47:55 time: 0.4061 data_time: 0.0210 memory: 17006 grad_norm: 11.7573 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2227 loss: 1.2227 2022/07/30 05:48:16 - mmengine - INFO - Epoch(train) [151][2280/3757] lr: 6.6987e-04 eta: 12:47:47 time: 0.4052 data_time: 0.0190 memory: 17006 grad_norm: 10.8441 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4431 loss: 1.4431 2022/07/30 05:48:25 - mmengine - INFO - Epoch(train) [151][2300/3757] lr: 6.6987e-04 eta: 12:47:38 time: 0.4197 data_time: 0.0218 memory: 17006 grad_norm: 11.3718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0688 loss: 1.0688 2022/07/30 05:48:33 - mmengine - INFO - Epoch(train) [151][2320/3757] lr: 6.6987e-04 eta: 12:47:30 time: 0.4090 data_time: 0.0228 memory: 17006 grad_norm: 11.5506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3440 loss: 1.3440 2022/07/30 05:48:42 - mmengine - INFO - Epoch(train) [151][2340/3757] lr: 6.6987e-04 eta: 12:47:22 time: 0.4314 data_time: 0.0212 memory: 17006 grad_norm: 11.3638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4272 loss: 1.4272 2022/07/30 05:48:50 - mmengine - INFO - Epoch(train) [151][2360/3757] lr: 6.6987e-04 eta: 12:47:13 time: 0.4101 data_time: 0.0230 memory: 17006 grad_norm: 11.7439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3147 loss: 1.3147 2022/07/30 05:48:58 - mmengine - INFO - Epoch(train) [151][2380/3757] lr: 6.6987e-04 eta: 12:47:05 time: 0.4051 data_time: 0.0203 memory: 17006 grad_norm: 11.3044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2474 loss: 1.2474 2022/07/30 05:49:06 - mmengine - INFO - Epoch(train) [151][2400/3757] lr: 6.6987e-04 eta: 12:46:57 time: 0.4193 data_time: 0.0225 memory: 17006 grad_norm: 11.8273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0590 loss: 1.0590 2022/07/30 05:49:15 - mmengine - INFO - Epoch(train) [151][2420/3757] lr: 6.6987e-04 eta: 12:46:48 time: 0.4141 data_time: 0.0237 memory: 17006 grad_norm: 11.9936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5734 loss: 1.5734 2022/07/30 05:49:23 - mmengine - INFO - Epoch(train) [151][2440/3757] lr: 6.6987e-04 eta: 12:46:40 time: 0.4147 data_time: 0.0210 memory: 17006 grad_norm: 11.5272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5493 loss: 1.5493 2022/07/30 05:49:27 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:49:31 - mmengine - INFO - Epoch(train) [151][2460/3757] lr: 6.6987e-04 eta: 12:46:31 time: 0.4166 data_time: 0.0225 memory: 17006 grad_norm: 10.8282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/07/30 05:49:40 - mmengine - INFO - Epoch(train) [151][2480/3757] lr: 6.6987e-04 eta: 12:46:23 time: 0.4230 data_time: 0.0219 memory: 17006 grad_norm: 11.0471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2168 loss: 1.2168 2022/07/30 05:49:48 - mmengine - INFO - Epoch(train) [151][2500/3757] lr: 6.6987e-04 eta: 12:46:15 time: 0.4053 data_time: 0.0203 memory: 17006 grad_norm: 11.3943 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 1.3677 loss: 1.3677 2022/07/30 05:49:57 - mmengine - INFO - Epoch(train) [151][2520/3757] lr: 6.6987e-04 eta: 12:46:07 time: 0.4379 data_time: 0.0220 memory: 17006 grad_norm: 11.2275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/07/30 05:50:05 - mmengine - INFO - Epoch(train) [151][2540/3757] lr: 6.6987e-04 eta: 12:45:58 time: 0.4119 data_time: 0.0209 memory: 17006 grad_norm: 11.4381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1123 loss: 1.1123 2022/07/30 05:50:14 - mmengine - INFO - Epoch(train) [151][2560/3757] lr: 6.6987e-04 eta: 12:45:50 time: 0.4320 data_time: 0.0220 memory: 17006 grad_norm: 11.4778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2221 loss: 1.2221 2022/07/30 05:50:22 - mmengine - INFO - Epoch(train) [151][2580/3757] lr: 6.6987e-04 eta: 12:45:42 time: 0.4099 data_time: 0.0214 memory: 17006 grad_norm: 11.0928 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3195 loss: 1.3195 2022/07/30 05:50:31 - mmengine - INFO - Epoch(train) [151][2600/3757] lr: 6.6987e-04 eta: 12:45:34 time: 0.4344 data_time: 0.0220 memory: 17006 grad_norm: 11.1044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3070 loss: 1.3070 2022/07/30 05:50:39 - mmengine - INFO - Epoch(train) [151][2620/3757] lr: 6.6987e-04 eta: 12:45:25 time: 0.4090 data_time: 0.0209 memory: 17006 grad_norm: 10.9095 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1788 loss: 1.1788 2022/07/30 05:50:47 - mmengine - INFO - Epoch(train) [151][2640/3757] lr: 6.6987e-04 eta: 12:45:17 time: 0.4048 data_time: 0.0214 memory: 17006 grad_norm: 10.9526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2498 loss: 1.2498 2022/07/30 05:50:56 - mmengine - INFO - Epoch(train) [151][2660/3757] lr: 6.6987e-04 eta: 12:45:09 time: 0.4498 data_time: 0.0219 memory: 17006 grad_norm: 10.9348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2903 loss: 1.2903 2022/07/30 05:51:04 - mmengine - INFO - Epoch(train) [151][2680/3757] lr: 6.6987e-04 eta: 12:45:00 time: 0.4097 data_time: 0.0213 memory: 17006 grad_norm: 11.8516 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1156 loss: 1.1156 2022/07/30 05:51:12 - mmengine - INFO - Epoch(train) [151][2700/3757] lr: 6.6987e-04 eta: 12:44:52 time: 0.4131 data_time: 0.0222 memory: 17006 grad_norm: 11.2916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4889 loss: 1.4889 2022/07/30 05:51:21 - mmengine - INFO - Epoch(train) [151][2720/3757] lr: 6.6987e-04 eta: 12:44:43 time: 0.4111 data_time: 0.0204 memory: 17006 grad_norm: 11.8602 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/07/30 05:51:30 - mmengine - INFO - Epoch(train) [151][2740/3757] lr: 6.6987e-04 eta: 12:44:36 time: 0.4435 data_time: 0.0207 memory: 17006 grad_norm: 11.1213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9069 loss: 0.9069 2022/07/30 05:51:38 - mmengine - INFO - Epoch(train) [151][2760/3757] lr: 6.6987e-04 eta: 12:44:27 time: 0.4043 data_time: 0.0203 memory: 17006 grad_norm: 11.0075 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5122 loss: 1.5122 2022/07/30 05:51:46 - mmengine - INFO - Epoch(train) [151][2780/3757] lr: 6.6987e-04 eta: 12:44:19 time: 0.4103 data_time: 0.0215 memory: 17006 grad_norm: 11.3490 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4995 loss: 1.4995 2022/07/30 05:51:54 - mmengine - INFO - Epoch(train) [151][2800/3757] lr: 6.6987e-04 eta: 12:44:10 time: 0.4119 data_time: 0.0218 memory: 17006 grad_norm: 11.4572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5949 loss: 1.5949 2022/07/30 05:52:03 - mmengine - INFO - Epoch(train) [151][2820/3757] lr: 6.6987e-04 eta: 12:44:02 time: 0.4214 data_time: 0.0217 memory: 17006 grad_norm: 11.7457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3229 loss: 1.3229 2022/07/30 05:52:11 - mmengine - INFO - Epoch(train) [151][2840/3757] lr: 6.6987e-04 eta: 12:43:53 time: 0.4102 data_time: 0.0226 memory: 17006 grad_norm: 11.6032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3467 loss: 1.3467 2022/07/30 05:52:19 - mmengine - INFO - Epoch(train) [151][2860/3757] lr: 6.6987e-04 eta: 12:43:45 time: 0.4150 data_time: 0.0202 memory: 17006 grad_norm: 10.9649 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3505 loss: 1.3505 2022/07/30 05:52:27 - mmengine - INFO - Epoch(train) [151][2880/3757] lr: 6.6987e-04 eta: 12:43:36 time: 0.4051 data_time: 0.0203 memory: 17006 grad_norm: 11.2153 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3191 loss: 1.3191 2022/07/30 05:52:36 - mmengine - INFO - Epoch(train) [151][2900/3757] lr: 6.6987e-04 eta: 12:43:28 time: 0.4067 data_time: 0.0215 memory: 17006 grad_norm: 11.4367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3016 loss: 1.3016 2022/07/30 05:52:44 - mmengine - INFO - Epoch(train) [151][2920/3757] lr: 6.6987e-04 eta: 12:43:20 time: 0.4144 data_time: 0.0218 memory: 17006 grad_norm: 11.0803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3740 loss: 1.3740 2022/07/30 05:52:52 - mmengine - INFO - Epoch(train) [151][2940/3757] lr: 6.6987e-04 eta: 12:43:11 time: 0.4129 data_time: 0.0231 memory: 17006 grad_norm: 11.1062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3136 loss: 1.3136 2022/07/30 05:53:00 - mmengine - INFO - Epoch(train) [151][2960/3757] lr: 6.6987e-04 eta: 12:43:03 time: 0.4139 data_time: 0.0210 memory: 17006 grad_norm: 11.5322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3124 loss: 1.3124 2022/07/30 05:53:09 - mmengine - INFO - Epoch(train) [151][2980/3757] lr: 6.6987e-04 eta: 12:42:54 time: 0.4071 data_time: 0.0204 memory: 17006 grad_norm: 11.5803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2356 loss: 1.2356 2022/07/30 05:53:17 - mmengine - INFO - Epoch(train) [151][3000/3757] lr: 6.6987e-04 eta: 12:42:46 time: 0.4054 data_time: 0.0188 memory: 17006 grad_norm: 11.0021 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1900 loss: 1.1900 2022/07/30 05:53:25 - mmengine - INFO - Epoch(train) [151][3020/3757] lr: 6.6987e-04 eta: 12:42:38 time: 0.4339 data_time: 0.0213 memory: 17006 grad_norm: 10.3053 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1161 loss: 1.1161 2022/07/30 05:53:34 - mmengine - INFO - Epoch(train) [151][3040/3757] lr: 6.6987e-04 eta: 12:42:29 time: 0.4087 data_time: 0.0234 memory: 17006 grad_norm: 11.3450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1999 loss: 1.1999 2022/07/30 05:53:42 - mmengine - INFO - Epoch(train) [151][3060/3757] lr: 6.6987e-04 eta: 12:42:21 time: 0.4211 data_time: 0.0220 memory: 17006 grad_norm: 11.3091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5035 loss: 1.5035 2022/07/30 05:53:50 - mmengine - INFO - Epoch(train) [151][3080/3757] lr: 6.6987e-04 eta: 12:42:12 time: 0.4096 data_time: 0.0226 memory: 17006 grad_norm: 11.6379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4820 loss: 1.4820 2022/07/30 05:53:58 - mmengine - INFO - Epoch(train) [151][3100/3757] lr: 6.6987e-04 eta: 12:42:04 time: 0.4058 data_time: 0.0207 memory: 17006 grad_norm: 11.0124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1211 loss: 1.1211 2022/07/30 05:54:07 - mmengine - INFO - Epoch(train) [151][3120/3757] lr: 6.6987e-04 eta: 12:41:56 time: 0.4237 data_time: 0.0225 memory: 17006 grad_norm: 11.6894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2029 loss: 1.2029 2022/07/30 05:54:15 - mmengine - INFO - Epoch(train) [151][3140/3757] lr: 6.6987e-04 eta: 12:41:47 time: 0.4059 data_time: 0.0216 memory: 17006 grad_norm: 11.1658 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/07/30 05:54:24 - mmengine - INFO - Epoch(train) [151][3160/3757] lr: 6.6987e-04 eta: 12:41:39 time: 0.4505 data_time: 0.0227 memory: 17006 grad_norm: 11.6536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2824 loss: 1.2824 2022/07/30 05:54:32 - mmengine - INFO - Epoch(train) [151][3180/3757] lr: 6.6987e-04 eta: 12:41:31 time: 0.4072 data_time: 0.0226 memory: 17006 grad_norm: 11.3097 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6596 loss: 1.6596 2022/07/30 05:54:42 - mmengine - INFO - Epoch(train) [151][3200/3757] lr: 6.6987e-04 eta: 12:41:23 time: 0.4609 data_time: 0.0234 memory: 17006 grad_norm: 11.1106 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3081 loss: 1.3081 2022/07/30 05:54:50 - mmengine - INFO - Epoch(train) [151][3220/3757] lr: 6.6987e-04 eta: 12:41:15 time: 0.4137 data_time: 0.0225 memory: 17006 grad_norm: 11.4562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1454 loss: 1.1454 2022/07/30 05:54:58 - mmengine - INFO - Epoch(train) [151][3240/3757] lr: 6.6987e-04 eta: 12:41:06 time: 0.4051 data_time: 0.0206 memory: 17006 grad_norm: 11.6648 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2879 loss: 1.2879 2022/07/30 05:55:07 - mmengine - INFO - Epoch(train) [151][3260/3757] lr: 6.6987e-04 eta: 12:40:58 time: 0.4372 data_time: 0.0218 memory: 17006 grad_norm: 10.9654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2330 loss: 1.2330 2022/07/30 05:55:15 - mmengine - INFO - Epoch(train) [151][3280/3757] lr: 6.6987e-04 eta: 12:40:50 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 11.2870 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3116 loss: 1.3116 2022/07/30 05:55:24 - mmengine - INFO - Epoch(train) [151][3300/3757] lr: 6.6987e-04 eta: 12:40:42 time: 0.4483 data_time: 0.0227 memory: 17006 grad_norm: 11.2196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/07/30 05:55:32 - mmengine - INFO - Epoch(train) [151][3320/3757] lr: 6.6987e-04 eta: 12:40:33 time: 0.4072 data_time: 0.0211 memory: 17006 grad_norm: 11.2877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2666 loss: 1.2666 2022/07/30 05:55:41 - mmengine - INFO - Epoch(train) [151][3340/3757] lr: 6.6987e-04 eta: 12:40:25 time: 0.4442 data_time: 0.0221 memory: 17006 grad_norm: 10.8553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2557 loss: 1.2557 2022/07/30 05:55:49 - mmengine - INFO - Epoch(train) [151][3360/3757] lr: 6.6987e-04 eta: 12:40:17 time: 0.4085 data_time: 0.0212 memory: 17006 grad_norm: 11.1135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2063 loss: 1.2063 2022/07/30 05:55:57 - mmengine - INFO - Epoch(train) [151][3380/3757] lr: 6.6987e-04 eta: 12:40:08 time: 0.4056 data_time: 0.0205 memory: 17006 grad_norm: 11.8833 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3711 loss: 1.3711 2022/07/30 05:56:06 - mmengine - INFO - Epoch(train) [151][3400/3757] lr: 6.6987e-04 eta: 12:40:00 time: 0.4168 data_time: 0.0227 memory: 17006 grad_norm: 11.3386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3022 loss: 1.3022 2022/07/30 05:56:14 - mmengine - INFO - Epoch(train) [151][3420/3757] lr: 6.6987e-04 eta: 12:39:52 time: 0.4128 data_time: 0.0234 memory: 17006 grad_norm: 11.0614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6206 loss: 1.6206 2022/07/30 05:56:22 - mmengine - INFO - Epoch(train) [151][3440/3757] lr: 6.6987e-04 eta: 12:39:43 time: 0.4182 data_time: 0.0214 memory: 17006 grad_norm: 10.9342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3724 loss: 1.3724 2022/07/30 05:56:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:56:31 - mmengine - INFO - Epoch(train) [151][3460/3757] lr: 6.6987e-04 eta: 12:39:35 time: 0.4154 data_time: 0.0223 memory: 17006 grad_norm: 11.0984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0500 loss: 1.0500 2022/07/30 05:56:39 - mmengine - INFO - Epoch(train) [151][3480/3757] lr: 6.6987e-04 eta: 12:39:26 time: 0.4039 data_time: 0.0201 memory: 17006 grad_norm: 11.4956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3568 loss: 1.3568 2022/07/30 05:56:47 - mmengine - INFO - Epoch(train) [151][3500/3757] lr: 6.6987e-04 eta: 12:39:18 time: 0.4129 data_time: 0.0257 memory: 17006 grad_norm: 11.5341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3287 loss: 1.3287 2022/07/30 05:56:56 - mmengine - INFO - Epoch(train) [151][3520/3757] lr: 6.6987e-04 eta: 12:39:10 time: 0.4227 data_time: 0.0229 memory: 17006 grad_norm: 11.2997 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3690 loss: 1.3690 2022/07/30 05:57:04 - mmengine - INFO - Epoch(train) [151][3540/3757] lr: 6.6987e-04 eta: 12:39:01 time: 0.4114 data_time: 0.0207 memory: 17006 grad_norm: 11.3662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1544 loss: 1.1544 2022/07/30 05:57:12 - mmengine - INFO - Epoch(train) [151][3560/3757] lr: 6.6987e-04 eta: 12:38:53 time: 0.4145 data_time: 0.0208 memory: 17006 grad_norm: 11.5385 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4089 loss: 1.4089 2022/07/30 05:57:20 - mmengine - INFO - Epoch(train) [151][3580/3757] lr: 6.6987e-04 eta: 12:38:45 time: 0.4133 data_time: 0.0223 memory: 17006 grad_norm: 11.3465 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1999 loss: 1.1999 2022/07/30 05:57:29 - mmengine - INFO - Epoch(train) [151][3600/3757] lr: 6.6987e-04 eta: 12:38:36 time: 0.4055 data_time: 0.0209 memory: 17006 grad_norm: 11.6130 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2537 loss: 1.2537 2022/07/30 05:57:37 - mmengine - INFO - Epoch(train) [151][3620/3757] lr: 6.6987e-04 eta: 12:38:27 time: 0.4089 data_time: 0.0230 memory: 17006 grad_norm: 11.6624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2544 loss: 1.2544 2022/07/30 05:57:45 - mmengine - INFO - Epoch(train) [151][3640/3757] lr: 6.6987e-04 eta: 12:38:19 time: 0.4137 data_time: 0.0217 memory: 17006 grad_norm: 11.5132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0906 loss: 1.0906 2022/07/30 05:57:54 - mmengine - INFO - Epoch(train) [151][3660/3757] lr: 6.6987e-04 eta: 12:38:11 time: 0.4425 data_time: 0.0226 memory: 17006 grad_norm: 11.5850 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3187 loss: 1.3187 2022/07/30 05:58:02 - mmengine - INFO - Epoch(train) [151][3680/3757] lr: 6.6987e-04 eta: 12:38:03 time: 0.4196 data_time: 0.0228 memory: 17006 grad_norm: 10.8406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3073 loss: 1.3073 2022/07/30 05:58:11 - mmengine - INFO - Epoch(train) [151][3700/3757] lr: 6.6987e-04 eta: 12:37:54 time: 0.4106 data_time: 0.0219 memory: 17006 grad_norm: 11.2699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2181 loss: 1.2181 2022/07/30 05:58:19 - mmengine - INFO - Epoch(train) [151][3720/3757] lr: 6.6987e-04 eta: 12:37:46 time: 0.4062 data_time: 0.0210 memory: 17006 grad_norm: 11.3906 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4755 loss: 1.4755 2022/07/30 05:58:27 - mmengine - INFO - Epoch(train) [151][3740/3757] lr: 6.6987e-04 eta: 12:37:37 time: 0.4112 data_time: 0.0218 memory: 17006 grad_norm: 10.9857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1064 loss: 1.1064 2022/07/30 05:58:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 05:58:34 - mmengine - INFO - Epoch(train) [151][3757/3757] lr: 6.6987e-04 eta: 12:37:37 time: 0.3986 data_time: 0.0202 memory: 17006 grad_norm: 11.6613 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.2242 loss: 1.2242 2022/07/30 05:58:34 - mmengine - INFO - Saving checkpoint at 151 epochs 2022/07/30 05:58:48 - mmengine - INFO - Epoch(train) [152][20/3757] lr: 6.2690e-04 eta: 12:37:17 time: 0.4535 data_time: 0.0688 memory: 17006 grad_norm: 11.5447 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5052 loss: 1.5052 2022/07/30 05:58:57 - mmengine - INFO - Epoch(train) [152][40/3757] lr: 6.2690e-04 eta: 12:37:09 time: 0.4353 data_time: 0.0248 memory: 17006 grad_norm: 10.9931 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0877 loss: 1.0877 2022/07/30 05:59:05 - mmengine - INFO - Epoch(train) [152][60/3757] lr: 6.2690e-04 eta: 12:37:00 time: 0.4041 data_time: 0.0203 memory: 17006 grad_norm: 11.0642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3526 loss: 1.3526 2022/07/30 05:59:13 - mmengine - INFO - Epoch(train) [152][80/3757] lr: 6.2690e-04 eta: 12:36:52 time: 0.4244 data_time: 0.0226 memory: 17006 grad_norm: 10.9647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2848 loss: 1.2848 2022/07/30 05:59:22 - mmengine - INFO - Epoch(train) [152][100/3757] lr: 6.2690e-04 eta: 12:36:43 time: 0.4064 data_time: 0.0194 memory: 17006 grad_norm: 10.1759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3335 loss: 1.3335 2022/07/30 05:59:30 - mmengine - INFO - Epoch(train) [152][120/3757] lr: 6.2690e-04 eta: 12:36:35 time: 0.4121 data_time: 0.0235 memory: 17006 grad_norm: 10.9560 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2111 loss: 1.2111 2022/07/30 05:59:38 - mmengine - INFO - Epoch(train) [152][140/3757] lr: 6.2690e-04 eta: 12:36:26 time: 0.4048 data_time: 0.0185 memory: 17006 grad_norm: 11.5952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3524 loss: 1.3524 2022/07/30 05:59:46 - mmengine - INFO - Epoch(train) [152][160/3757] lr: 6.2690e-04 eta: 12:36:18 time: 0.4051 data_time: 0.0217 memory: 17006 grad_norm: 11.1081 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2087 loss: 1.2087 2022/07/30 05:59:55 - mmengine - INFO - Epoch(train) [152][180/3757] lr: 6.2690e-04 eta: 12:36:10 time: 0.4269 data_time: 0.0201 memory: 17006 grad_norm: 11.2679 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2492 loss: 1.2492 2022/07/30 06:00:08 - mmengine - INFO - Epoch(train) [152][200/3757] lr: 6.2690e-04 eta: 12:36:05 time: 0.6511 data_time: 0.0279 memory: 17006 grad_norm: 11.2815 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5900 loss: 1.5900 2022/07/30 06:00:16 - mmengine - INFO - Epoch(train) [152][220/3757] lr: 6.2690e-04 eta: 12:35:57 time: 0.4067 data_time: 0.0226 memory: 17006 grad_norm: 10.7614 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3595 loss: 1.3595 2022/07/30 06:00:24 - mmengine - INFO - Epoch(train) [152][240/3757] lr: 6.2690e-04 eta: 12:35:48 time: 0.4139 data_time: 0.0190 memory: 17006 grad_norm: 11.0773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3832 loss: 1.3832 2022/07/30 06:00:33 - mmengine - INFO - Epoch(train) [152][260/3757] lr: 6.2690e-04 eta: 12:35:40 time: 0.4200 data_time: 0.0218 memory: 17006 grad_norm: 11.1145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2845 loss: 1.2845 2022/07/30 06:00:41 - mmengine - INFO - Epoch(train) [152][280/3757] lr: 6.2690e-04 eta: 12:35:32 time: 0.4293 data_time: 0.0217 memory: 17006 grad_norm: 11.1883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/07/30 06:00:49 - mmengine - INFO - Epoch(train) [152][300/3757] lr: 6.2690e-04 eta: 12:35:23 time: 0.4060 data_time: 0.0217 memory: 17006 grad_norm: 10.6630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2538 loss: 1.2538 2022/07/30 06:00:57 - mmengine - INFO - Epoch(train) [152][320/3757] lr: 6.2690e-04 eta: 12:35:15 time: 0.4031 data_time: 0.0169 memory: 17006 grad_norm: 11.1523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2197 loss: 1.2197 2022/07/30 06:01:06 - mmengine - INFO - Epoch(train) [152][340/3757] lr: 6.2690e-04 eta: 12:35:06 time: 0.4097 data_time: 0.0208 memory: 17006 grad_norm: 11.6459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0947 loss: 1.0947 2022/07/30 06:01:14 - mmengine - INFO - Epoch(train) [152][360/3757] lr: 6.2690e-04 eta: 12:34:58 time: 0.4143 data_time: 0.0201 memory: 17006 grad_norm: 11.3519 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/07/30 06:01:22 - mmengine - INFO - Epoch(train) [152][380/3757] lr: 6.2690e-04 eta: 12:34:49 time: 0.4111 data_time: 0.0230 memory: 17006 grad_norm: 11.6741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1959 loss: 1.1959 2022/07/30 06:01:30 - mmengine - INFO - Epoch(train) [152][400/3757] lr: 6.2690e-04 eta: 12:34:41 time: 0.4106 data_time: 0.0191 memory: 17006 grad_norm: 11.9339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4404 loss: 1.4404 2022/07/30 06:01:39 - mmengine - INFO - Epoch(train) [152][420/3757] lr: 6.2690e-04 eta: 12:34:32 time: 0.4043 data_time: 0.0209 memory: 17006 grad_norm: 11.1713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3532 loss: 1.3532 2022/07/30 06:01:47 - mmengine - INFO - Epoch(train) [152][440/3757] lr: 6.2690e-04 eta: 12:34:24 time: 0.4069 data_time: 0.0192 memory: 17006 grad_norm: 11.7384 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1330 loss: 1.1330 2022/07/30 06:01:55 - mmengine - INFO - Epoch(train) [152][460/3757] lr: 6.2690e-04 eta: 12:34:16 time: 0.4144 data_time: 0.0218 memory: 17006 grad_norm: 11.6030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1440 loss: 1.1440 2022/07/30 06:02:03 - mmengine - INFO - Epoch(train) [152][480/3757] lr: 6.2690e-04 eta: 12:34:07 time: 0.4100 data_time: 0.0211 memory: 17006 grad_norm: 11.2681 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1067 loss: 1.1067 2022/07/30 06:02:12 - mmengine - INFO - Epoch(train) [152][500/3757] lr: 6.2690e-04 eta: 12:33:59 time: 0.4105 data_time: 0.0224 memory: 17006 grad_norm: 11.9129 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4791 loss: 1.4791 2022/07/30 06:02:20 - mmengine - INFO - Epoch(train) [152][520/3757] lr: 6.2690e-04 eta: 12:33:50 time: 0.4090 data_time: 0.0166 memory: 17006 grad_norm: 11.4257 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1668 loss: 1.1668 2022/07/30 06:02:28 - mmengine - INFO - Epoch(train) [152][540/3757] lr: 6.2690e-04 eta: 12:33:42 time: 0.4079 data_time: 0.0226 memory: 17006 grad_norm: 11.2863 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6259 loss: 1.6259 2022/07/30 06:02:37 - mmengine - INFO - Epoch(train) [152][560/3757] lr: 6.2690e-04 eta: 12:33:34 time: 0.4399 data_time: 0.0183 memory: 17006 grad_norm: 11.4845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0274 loss: 1.0274 2022/07/30 06:02:45 - mmengine - INFO - Epoch(train) [152][580/3757] lr: 6.2690e-04 eta: 12:33:26 time: 0.4293 data_time: 0.0236 memory: 17006 grad_norm: 11.2402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2137 loss: 1.2137 2022/07/30 06:02:54 - mmengine - INFO - Epoch(train) [152][600/3757] lr: 6.2690e-04 eta: 12:33:17 time: 0.4242 data_time: 0.0193 memory: 17006 grad_norm: 11.3942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4237 loss: 1.4237 2022/07/30 06:03:02 - mmengine - INFO - Epoch(train) [152][620/3757] lr: 6.2690e-04 eta: 12:33:09 time: 0.4124 data_time: 0.0237 memory: 17006 grad_norm: 10.4594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2122 loss: 1.2122 2022/07/30 06:03:10 - mmengine - INFO - Epoch(train) [152][640/3757] lr: 6.2690e-04 eta: 12:33:00 time: 0.4051 data_time: 0.0184 memory: 17006 grad_norm: 10.9938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3787 loss: 1.3787 2022/07/30 06:03:18 - mmengine - INFO - Epoch(train) [152][660/3757] lr: 6.2690e-04 eta: 12:32:52 time: 0.4077 data_time: 0.0211 memory: 17006 grad_norm: 11.2433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4708 loss: 1.4708 2022/07/30 06:03:27 - mmengine - INFO - Epoch(train) [152][680/3757] lr: 6.2690e-04 eta: 12:32:44 time: 0.4205 data_time: 0.0197 memory: 17006 grad_norm: 11.6180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9640 loss: 0.9640 2022/07/30 06:03:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:03:35 - mmengine - INFO - Epoch(train) [152][700/3757] lr: 6.2690e-04 eta: 12:32:35 time: 0.4105 data_time: 0.0226 memory: 17006 grad_norm: 11.3522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1814 loss: 1.1814 2022/07/30 06:03:44 - mmengine - INFO - Epoch(train) [152][720/3757] lr: 6.2690e-04 eta: 12:32:27 time: 0.4173 data_time: 0.0201 memory: 17006 grad_norm: 10.8895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5522 loss: 1.5522 2022/07/30 06:03:52 - mmengine - INFO - Epoch(train) [152][740/3757] lr: 6.2690e-04 eta: 12:32:18 time: 0.4104 data_time: 0.0216 memory: 17006 grad_norm: 11.5395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1109 loss: 1.1109 2022/07/30 06:04:00 - mmengine - INFO - Epoch(train) [152][760/3757] lr: 6.2690e-04 eta: 12:32:10 time: 0.4091 data_time: 0.0179 memory: 17006 grad_norm: 11.1069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3142 loss: 1.3142 2022/07/30 06:04:08 - mmengine - INFO - Epoch(train) [152][780/3757] lr: 6.2690e-04 eta: 12:32:01 time: 0.4076 data_time: 0.0211 memory: 17006 grad_norm: 11.9667 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3095 loss: 1.3095 2022/07/30 06:04:17 - mmengine - INFO - Epoch(train) [152][800/3757] lr: 6.2690e-04 eta: 12:31:53 time: 0.4329 data_time: 0.0175 memory: 17006 grad_norm: 10.5828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2075 loss: 1.2075 2022/07/30 06:04:25 - mmengine - INFO - Epoch(train) [152][820/3757] lr: 6.2690e-04 eta: 12:31:45 time: 0.4088 data_time: 0.0204 memory: 17006 grad_norm: 10.8215 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2277 loss: 1.2277 2022/07/30 06:04:33 - mmengine - INFO - Epoch(train) [152][840/3757] lr: 6.2690e-04 eta: 12:31:36 time: 0.4074 data_time: 0.0180 memory: 17006 grad_norm: 11.3795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3183 loss: 1.3183 2022/07/30 06:04:41 - mmengine - INFO - Epoch(train) [152][860/3757] lr: 6.2690e-04 eta: 12:31:28 time: 0.4124 data_time: 0.0234 memory: 17006 grad_norm: 11.5049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1758 loss: 1.1758 2022/07/30 06:04:50 - mmengine - INFO - Epoch(train) [152][880/3757] lr: 6.2690e-04 eta: 12:31:19 time: 0.4052 data_time: 0.0190 memory: 17006 grad_norm: 11.4697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2331 loss: 1.2331 2022/07/30 06:04:58 - mmengine - INFO - Epoch(train) [152][900/3757] lr: 6.2690e-04 eta: 12:31:11 time: 0.4069 data_time: 0.0221 memory: 17006 grad_norm: 11.8631 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5598 loss: 1.5598 2022/07/30 06:05:06 - mmengine - INFO - Epoch(train) [152][920/3757] lr: 6.2690e-04 eta: 12:31:02 time: 0.4100 data_time: 0.0203 memory: 17006 grad_norm: 11.2213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3344 loss: 1.3344 2022/07/30 06:05:14 - mmengine - INFO - Epoch(train) [152][940/3757] lr: 6.2690e-04 eta: 12:30:54 time: 0.4169 data_time: 0.0223 memory: 17006 grad_norm: 11.0151 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2211 loss: 1.2211 2022/07/30 06:05:23 - mmengine - INFO - Epoch(train) [152][960/3757] lr: 6.2690e-04 eta: 12:30:46 time: 0.4224 data_time: 0.0222 memory: 17006 grad_norm: 11.4724 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9847 loss: 0.9847 2022/07/30 06:05:31 - mmengine - INFO - Epoch(train) [152][980/3757] lr: 6.2690e-04 eta: 12:30:37 time: 0.4160 data_time: 0.0219 memory: 17006 grad_norm: 11.8754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/07/30 06:05:39 - mmengine - INFO - Epoch(train) [152][1000/3757] lr: 6.2690e-04 eta: 12:30:29 time: 0.4047 data_time: 0.0186 memory: 17006 grad_norm: 11.5894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3277 loss: 1.3277 2022/07/30 06:05:48 - mmengine - INFO - Epoch(train) [152][1020/3757] lr: 6.2690e-04 eta: 12:30:21 time: 0.4185 data_time: 0.0211 memory: 17006 grad_norm: 11.6679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3411 loss: 1.3411 2022/07/30 06:05:56 - mmengine - INFO - Epoch(train) [152][1040/3757] lr: 6.2690e-04 eta: 12:30:12 time: 0.4065 data_time: 0.0185 memory: 17006 grad_norm: 11.4968 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3100 loss: 1.3100 2022/07/30 06:06:04 - mmengine - INFO - Epoch(train) [152][1060/3757] lr: 6.2690e-04 eta: 12:30:04 time: 0.4147 data_time: 0.0226 memory: 17006 grad_norm: 11.8998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5478 loss: 1.5478 2022/07/30 06:06:12 - mmengine - INFO - Epoch(train) [152][1080/3757] lr: 6.2690e-04 eta: 12:29:55 time: 0.4071 data_time: 0.0179 memory: 17006 grad_norm: 11.2354 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3902 loss: 1.3902 2022/07/30 06:06:21 - mmengine - INFO - Epoch(train) [152][1100/3757] lr: 6.2690e-04 eta: 12:29:47 time: 0.4182 data_time: 0.0229 memory: 17006 grad_norm: 11.5917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6167 loss: 1.6167 2022/07/30 06:06:29 - mmengine - INFO - Epoch(train) [152][1120/3757] lr: 6.2690e-04 eta: 12:29:38 time: 0.4038 data_time: 0.0195 memory: 17006 grad_norm: 11.1584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0903 loss: 1.0903 2022/07/30 06:06:37 - mmengine - INFO - Epoch(train) [152][1140/3757] lr: 6.2690e-04 eta: 12:29:30 time: 0.4139 data_time: 0.0246 memory: 17006 grad_norm: 11.4189 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2514 loss: 1.2514 2022/07/30 06:06:45 - mmengine - INFO - Epoch(train) [152][1160/3757] lr: 6.2690e-04 eta: 12:29:21 time: 0.4059 data_time: 0.0177 memory: 17006 grad_norm: 11.2966 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2608 loss: 1.2608 2022/07/30 06:06:54 - mmengine - INFO - Epoch(train) [152][1180/3757] lr: 6.2690e-04 eta: 12:29:13 time: 0.4198 data_time: 0.0247 memory: 17006 grad_norm: 12.0097 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4474 loss: 1.4474 2022/07/30 06:07:02 - mmengine - INFO - Epoch(train) [152][1200/3757] lr: 6.2690e-04 eta: 12:29:05 time: 0.4158 data_time: 0.0193 memory: 17006 grad_norm: 10.8236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0311 loss: 1.0311 2022/07/30 06:07:11 - mmengine - INFO - Epoch(train) [152][1220/3757] lr: 6.2690e-04 eta: 12:28:57 time: 0.4261 data_time: 0.0224 memory: 17006 grad_norm: 11.0995 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3774 loss: 1.3774 2022/07/30 06:07:19 - mmengine - INFO - Epoch(train) [152][1240/3757] lr: 6.2690e-04 eta: 12:28:48 time: 0.4057 data_time: 0.0192 memory: 17006 grad_norm: 11.0710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2494 loss: 1.2494 2022/07/30 06:07:27 - mmengine - INFO - Epoch(train) [152][1260/3757] lr: 6.2690e-04 eta: 12:28:40 time: 0.4228 data_time: 0.0218 memory: 17006 grad_norm: 10.8025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/07/30 06:07:36 - mmengine - INFO - Epoch(train) [152][1280/3757] lr: 6.2690e-04 eta: 12:28:31 time: 0.4137 data_time: 0.0203 memory: 17006 grad_norm: 10.7852 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5625 loss: 1.5625 2022/07/30 06:07:44 - mmengine - INFO - Epoch(train) [152][1300/3757] lr: 6.2690e-04 eta: 12:28:23 time: 0.4136 data_time: 0.0220 memory: 17006 grad_norm: 10.9786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3188 loss: 1.3188 2022/07/30 06:07:52 - mmengine - INFO - Epoch(train) [152][1320/3757] lr: 6.2690e-04 eta: 12:28:14 time: 0.4057 data_time: 0.0212 memory: 17006 grad_norm: 11.2173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0744 loss: 1.0744 2022/07/30 06:08:00 - mmengine - INFO - Epoch(train) [152][1340/3757] lr: 6.2690e-04 eta: 12:28:06 time: 0.4117 data_time: 0.0205 memory: 17006 grad_norm: 10.2575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1664 loss: 1.1664 2022/07/30 06:08:09 - mmengine - INFO - Epoch(train) [152][1360/3757] lr: 6.2690e-04 eta: 12:27:57 time: 0.4073 data_time: 0.0187 memory: 17006 grad_norm: 11.6493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2438 loss: 1.2438 2022/07/30 06:08:17 - mmengine - INFO - Epoch(train) [152][1380/3757] lr: 6.2690e-04 eta: 12:27:49 time: 0.4184 data_time: 0.0230 memory: 17006 grad_norm: 11.0162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4372 loss: 1.4372 2022/07/30 06:08:25 - mmengine - INFO - Epoch(train) [152][1400/3757] lr: 6.2690e-04 eta: 12:27:41 time: 0.4072 data_time: 0.0192 memory: 17006 grad_norm: 11.3051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2650 loss: 1.2650 2022/07/30 06:08:33 - mmengine - INFO - Epoch(train) [152][1420/3757] lr: 6.2690e-04 eta: 12:27:32 time: 0.4138 data_time: 0.0226 memory: 17006 grad_norm: 11.1461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/07/30 06:08:42 - mmengine - INFO - Epoch(train) [152][1440/3757] lr: 6.2690e-04 eta: 12:27:24 time: 0.4050 data_time: 0.0203 memory: 17006 grad_norm: 11.0231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8901 loss: 0.8901 2022/07/30 06:08:50 - mmengine - INFO - Epoch(train) [152][1460/3757] lr: 6.2690e-04 eta: 12:27:15 time: 0.4057 data_time: 0.0210 memory: 17006 grad_norm: 11.2117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2204 loss: 1.2204 2022/07/30 06:08:58 - mmengine - INFO - Epoch(train) [152][1480/3757] lr: 6.2690e-04 eta: 12:27:07 time: 0.4091 data_time: 0.0188 memory: 17006 grad_norm: 11.8475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5553 loss: 1.5553 2022/07/30 06:09:06 - mmengine - INFO - Epoch(train) [152][1500/3757] lr: 6.2690e-04 eta: 12:26:58 time: 0.4177 data_time: 0.0213 memory: 17006 grad_norm: 10.8439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3380 loss: 1.3380 2022/07/30 06:09:15 - mmengine - INFO - Epoch(train) [152][1520/3757] lr: 6.2690e-04 eta: 12:26:50 time: 0.4097 data_time: 0.0194 memory: 17006 grad_norm: 11.5196 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1913 loss: 1.1913 2022/07/30 06:09:23 - mmengine - INFO - Epoch(train) [152][1540/3757] lr: 6.2690e-04 eta: 12:26:42 time: 0.4121 data_time: 0.0211 memory: 17006 grad_norm: 11.3539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2343 loss: 1.2343 2022/07/30 06:09:31 - mmengine - INFO - Epoch(train) [152][1560/3757] lr: 6.2690e-04 eta: 12:26:33 time: 0.4085 data_time: 0.0212 memory: 17006 grad_norm: 11.2176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2163 loss: 1.2163 2022/07/30 06:09:39 - mmengine - INFO - Epoch(train) [152][1580/3757] lr: 6.2690e-04 eta: 12:26:25 time: 0.4060 data_time: 0.0217 memory: 17006 grad_norm: 11.7078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1793 loss: 1.1793 2022/07/30 06:09:47 - mmengine - INFO - Epoch(train) [152][1600/3757] lr: 6.2690e-04 eta: 12:26:16 time: 0.4100 data_time: 0.0190 memory: 17006 grad_norm: 10.9245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5095 loss: 1.5095 2022/07/30 06:09:56 - mmengine - INFO - Epoch(train) [152][1620/3757] lr: 6.2690e-04 eta: 12:26:08 time: 0.4088 data_time: 0.0215 memory: 17006 grad_norm: 11.7091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2668 loss: 1.2668 2022/07/30 06:10:04 - mmengine - INFO - Epoch(train) [152][1640/3757] lr: 6.2690e-04 eta: 12:25:59 time: 0.4069 data_time: 0.0190 memory: 17006 grad_norm: 11.2074 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4149 loss: 1.4149 2022/07/30 06:10:12 - mmengine - INFO - Epoch(train) [152][1660/3757] lr: 6.2690e-04 eta: 12:25:51 time: 0.4062 data_time: 0.0218 memory: 17006 grad_norm: 11.7914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2520 loss: 1.2520 2022/07/30 06:10:20 - mmengine - INFO - Epoch(train) [152][1680/3757] lr: 6.2690e-04 eta: 12:25:42 time: 0.4050 data_time: 0.0179 memory: 17006 grad_norm: 10.9675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3766 loss: 1.3766 2022/07/30 06:10:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:10:28 - mmengine - INFO - Epoch(train) [152][1700/3757] lr: 6.2690e-04 eta: 12:25:34 time: 0.4100 data_time: 0.0216 memory: 17006 grad_norm: 11.3896 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3384 loss: 1.3384 2022/07/30 06:10:36 - mmengine - INFO - Epoch(train) [152][1720/3757] lr: 6.2690e-04 eta: 12:25:25 time: 0.4084 data_time: 0.0221 memory: 17006 grad_norm: 11.2418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5178 loss: 1.5178 2022/07/30 06:10:45 - mmengine - INFO - Epoch(train) [152][1740/3757] lr: 6.2690e-04 eta: 12:25:17 time: 0.4074 data_time: 0.0218 memory: 17006 grad_norm: 10.9849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/07/30 06:10:53 - mmengine - INFO - Epoch(train) [152][1760/3757] lr: 6.2690e-04 eta: 12:25:08 time: 0.4095 data_time: 0.0208 memory: 17006 grad_norm: 10.9906 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0993 loss: 1.0993 2022/07/30 06:11:01 - mmengine - INFO - Epoch(train) [152][1780/3757] lr: 6.2690e-04 eta: 12:25:00 time: 0.4073 data_time: 0.0227 memory: 17006 grad_norm: 10.8735 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0906 loss: 1.0906 2022/07/30 06:11:09 - mmengine - INFO - Epoch(train) [152][1800/3757] lr: 6.2690e-04 eta: 12:24:51 time: 0.4047 data_time: 0.0185 memory: 17006 grad_norm: 11.4177 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5443 loss: 1.5443 2022/07/30 06:11:17 - mmengine - INFO - Epoch(train) [152][1820/3757] lr: 6.2690e-04 eta: 12:24:43 time: 0.4128 data_time: 0.0243 memory: 17006 grad_norm: 10.9374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3446 loss: 1.3446 2022/07/30 06:11:26 - mmengine - INFO - Epoch(train) [152][1840/3757] lr: 6.2690e-04 eta: 12:24:34 time: 0.4167 data_time: 0.0196 memory: 17006 grad_norm: 10.9645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/07/30 06:11:34 - mmengine - INFO - Epoch(train) [152][1860/3757] lr: 6.2690e-04 eta: 12:24:26 time: 0.4087 data_time: 0.0222 memory: 17006 grad_norm: 11.6731 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1161 loss: 1.1161 2022/07/30 06:11:42 - mmengine - INFO - Epoch(train) [152][1880/3757] lr: 6.2690e-04 eta: 12:24:17 time: 0.4092 data_time: 0.0189 memory: 17006 grad_norm: 11.6876 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1369 loss: 1.1369 2022/07/30 06:11:50 - mmengine - INFO - Epoch(train) [152][1900/3757] lr: 6.2690e-04 eta: 12:24:09 time: 0.4093 data_time: 0.0236 memory: 17006 grad_norm: 11.9819 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5899 loss: 1.5899 2022/07/30 06:11:59 - mmengine - INFO - Epoch(train) [152][1920/3757] lr: 6.2690e-04 eta: 12:24:00 time: 0.4056 data_time: 0.0181 memory: 17006 grad_norm: 11.2536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4426 loss: 1.4426 2022/07/30 06:12:07 - mmengine - INFO - Epoch(train) [152][1940/3757] lr: 6.2690e-04 eta: 12:23:52 time: 0.4218 data_time: 0.0236 memory: 17006 grad_norm: 11.1033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4920 loss: 1.4920 2022/07/30 06:12:15 - mmengine - INFO - Epoch(train) [152][1960/3757] lr: 6.2690e-04 eta: 12:23:44 time: 0.4063 data_time: 0.0181 memory: 17006 grad_norm: 11.4084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0764 loss: 1.0764 2022/07/30 06:12:24 - mmengine - INFO - Epoch(train) [152][1980/3757] lr: 6.2690e-04 eta: 12:23:35 time: 0.4189 data_time: 0.0236 memory: 17006 grad_norm: 10.9876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1446 loss: 1.1446 2022/07/30 06:12:32 - mmengine - INFO - Epoch(train) [152][2000/3757] lr: 6.2690e-04 eta: 12:23:27 time: 0.4062 data_time: 0.0202 memory: 17006 grad_norm: 11.7677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4163 loss: 1.4163 2022/07/30 06:12:40 - mmengine - INFO - Epoch(train) [152][2020/3757] lr: 6.2690e-04 eta: 12:23:18 time: 0.4046 data_time: 0.0212 memory: 17006 grad_norm: 11.3770 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3158 loss: 1.3158 2022/07/30 06:12:48 - mmengine - INFO - Epoch(train) [152][2040/3757] lr: 6.2690e-04 eta: 12:23:10 time: 0.4205 data_time: 0.0193 memory: 17006 grad_norm: 11.1875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/07/30 06:12:57 - mmengine - INFO - Epoch(train) [152][2060/3757] lr: 6.2690e-04 eta: 12:23:02 time: 0.4125 data_time: 0.0223 memory: 17006 grad_norm: 11.0295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1196 loss: 1.1196 2022/07/30 06:13:05 - mmengine - INFO - Epoch(train) [152][2080/3757] lr: 6.2690e-04 eta: 12:22:53 time: 0.4327 data_time: 0.0214 memory: 17006 grad_norm: 11.2164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1376 loss: 1.1376 2022/07/30 06:13:13 - mmengine - INFO - Epoch(train) [152][2100/3757] lr: 6.2690e-04 eta: 12:22:45 time: 0.4080 data_time: 0.0235 memory: 17006 grad_norm: 11.4715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2394 loss: 1.2394 2022/07/30 06:13:22 - mmengine - INFO - Epoch(train) [152][2120/3757] lr: 6.2690e-04 eta: 12:22:37 time: 0.4244 data_time: 0.0201 memory: 17006 grad_norm: 11.7829 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7065 loss: 1.7065 2022/07/30 06:13:30 - mmengine - INFO - Epoch(train) [152][2140/3757] lr: 6.2690e-04 eta: 12:22:28 time: 0.4062 data_time: 0.0225 memory: 17006 grad_norm: 11.2038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0460 loss: 1.0460 2022/07/30 06:13:38 - mmengine - INFO - Epoch(train) [152][2160/3757] lr: 6.2690e-04 eta: 12:22:20 time: 0.4027 data_time: 0.0178 memory: 17006 grad_norm: 11.7380 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4323 loss: 1.4323 2022/07/30 06:13:47 - mmengine - INFO - Epoch(train) [152][2180/3757] lr: 6.2690e-04 eta: 12:22:12 time: 0.4548 data_time: 0.0236 memory: 17006 grad_norm: 11.8918 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6099 loss: 1.6099 2022/07/30 06:13:55 - mmengine - INFO - Epoch(train) [152][2200/3757] lr: 6.2690e-04 eta: 12:22:03 time: 0.4041 data_time: 0.0190 memory: 17006 grad_norm: 11.8081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1639 loss: 1.1639 2022/07/30 06:14:04 - mmengine - INFO - Epoch(train) [152][2220/3757] lr: 6.2690e-04 eta: 12:21:55 time: 0.4271 data_time: 0.0234 memory: 17006 grad_norm: 11.2945 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/07/30 06:14:12 - mmengine - INFO - Epoch(train) [152][2240/3757] lr: 6.2690e-04 eta: 12:21:47 time: 0.4070 data_time: 0.0188 memory: 17006 grad_norm: 11.5808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0297 loss: 1.0297 2022/07/30 06:14:20 - mmengine - INFO - Epoch(train) [152][2260/3757] lr: 6.2690e-04 eta: 12:21:38 time: 0.4057 data_time: 0.0217 memory: 17006 grad_norm: 11.1338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3018 loss: 1.3018 2022/07/30 06:14:29 - mmengine - INFO - Epoch(train) [152][2280/3757] lr: 6.2690e-04 eta: 12:21:30 time: 0.4171 data_time: 0.0207 memory: 17006 grad_norm: 11.2748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2097 loss: 1.2097 2022/07/30 06:14:37 - mmengine - INFO - Epoch(train) [152][2300/3757] lr: 6.2690e-04 eta: 12:21:21 time: 0.4173 data_time: 0.0223 memory: 17006 grad_norm: 11.1724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4121 loss: 1.4121 2022/07/30 06:14:45 - mmengine - INFO - Epoch(train) [152][2320/3757] lr: 6.2690e-04 eta: 12:21:13 time: 0.4187 data_time: 0.0206 memory: 17006 grad_norm: 10.8437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2351 loss: 1.2351 2022/07/30 06:14:54 - mmengine - INFO - Epoch(train) [152][2340/3757] lr: 6.2690e-04 eta: 12:21:05 time: 0.4167 data_time: 0.0221 memory: 17006 grad_norm: 11.5107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3259 loss: 1.3259 2022/07/30 06:15:02 - mmengine - INFO - Epoch(train) [152][2360/3757] lr: 6.2690e-04 eta: 12:20:56 time: 0.4139 data_time: 0.0195 memory: 17006 grad_norm: 11.3415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2298 loss: 1.2298 2022/07/30 06:15:10 - mmengine - INFO - Epoch(train) [152][2380/3757] lr: 6.2690e-04 eta: 12:20:48 time: 0.4068 data_time: 0.0221 memory: 17006 grad_norm: 11.0560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1942 loss: 1.1942 2022/07/30 06:15:18 - mmengine - INFO - Epoch(train) [152][2400/3757] lr: 6.2690e-04 eta: 12:20:39 time: 0.4085 data_time: 0.0186 memory: 17006 grad_norm: 11.9944 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3693 loss: 1.3693 2022/07/30 06:15:27 - mmengine - INFO - Epoch(train) [152][2420/3757] lr: 6.2690e-04 eta: 12:20:31 time: 0.4213 data_time: 0.0230 memory: 17006 grad_norm: 11.3312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2345 loss: 1.2345 2022/07/30 06:15:35 - mmengine - INFO - Epoch(train) [152][2440/3757] lr: 6.2690e-04 eta: 12:20:23 time: 0.4053 data_time: 0.0182 memory: 17006 grad_norm: 11.2958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1103 loss: 1.1103 2022/07/30 06:15:44 - mmengine - INFO - Epoch(train) [152][2460/3757] lr: 6.2690e-04 eta: 12:20:14 time: 0.4213 data_time: 0.0222 memory: 17006 grad_norm: 11.2070 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2375 loss: 1.2375 2022/07/30 06:15:52 - mmengine - INFO - Epoch(train) [152][2480/3757] lr: 6.2690e-04 eta: 12:20:06 time: 0.4178 data_time: 0.0175 memory: 17006 grad_norm: 12.0741 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3723 loss: 1.3723 2022/07/30 06:16:00 - mmengine - INFO - Epoch(train) [152][2500/3757] lr: 6.2690e-04 eta: 12:19:58 time: 0.4060 data_time: 0.0216 memory: 17006 grad_norm: 11.5840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1824 loss: 1.1824 2022/07/30 06:16:08 - mmengine - INFO - Epoch(train) [152][2520/3757] lr: 6.2690e-04 eta: 12:19:49 time: 0.4168 data_time: 0.0190 memory: 17006 grad_norm: 11.8010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1935 loss: 1.1935 2022/07/30 06:16:17 - mmengine - INFO - Epoch(train) [152][2540/3757] lr: 6.2690e-04 eta: 12:19:41 time: 0.4047 data_time: 0.0212 memory: 17006 grad_norm: 11.3274 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3528 loss: 1.3528 2022/07/30 06:16:25 - mmengine - INFO - Epoch(train) [152][2560/3757] lr: 6.2690e-04 eta: 12:19:32 time: 0.4282 data_time: 0.0196 memory: 17006 grad_norm: 11.1029 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1946 loss: 1.1946 2022/07/30 06:16:33 - mmengine - INFO - Epoch(train) [152][2580/3757] lr: 6.2690e-04 eta: 12:19:24 time: 0.4048 data_time: 0.0218 memory: 17006 grad_norm: 11.6432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8512 loss: 0.8512 2022/07/30 06:16:42 - mmengine - INFO - Epoch(train) [152][2600/3757] lr: 6.2690e-04 eta: 12:19:16 time: 0.4433 data_time: 0.0209 memory: 17006 grad_norm: 11.2837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3136 loss: 1.3136 2022/07/30 06:16:50 - mmengine - INFO - Epoch(train) [152][2620/3757] lr: 6.2690e-04 eta: 12:19:08 time: 0.4085 data_time: 0.0222 memory: 17006 grad_norm: 11.5661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/07/30 06:16:59 - mmengine - INFO - Epoch(train) [152][2640/3757] lr: 6.2690e-04 eta: 12:18:59 time: 0.4074 data_time: 0.0185 memory: 17006 grad_norm: 11.7914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/07/30 06:17:07 - mmengine - INFO - Epoch(train) [152][2660/3757] lr: 6.2690e-04 eta: 12:18:51 time: 0.4286 data_time: 0.0245 memory: 17006 grad_norm: 11.5218 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2633 loss: 1.2633 2022/07/30 06:17:15 - mmengine - INFO - Epoch(train) [152][2680/3757] lr: 6.2690e-04 eta: 12:18:42 time: 0.4055 data_time: 0.0186 memory: 17006 grad_norm: 12.1153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0866 loss: 1.0866 2022/07/30 06:17:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:17:24 - mmengine - INFO - Epoch(train) [152][2700/3757] lr: 6.2690e-04 eta: 12:18:35 time: 0.4607 data_time: 0.0233 memory: 17006 grad_norm: 11.4907 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1245 loss: 1.1245 2022/07/30 06:17:33 - mmengine - INFO - Epoch(train) [152][2720/3757] lr: 6.2690e-04 eta: 12:18:26 time: 0.4067 data_time: 0.0192 memory: 17006 grad_norm: 11.6225 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5441 loss: 1.5441 2022/07/30 06:17:41 - mmengine - INFO - Epoch(train) [152][2740/3757] lr: 6.2690e-04 eta: 12:18:18 time: 0.4057 data_time: 0.0213 memory: 17006 grad_norm: 11.8366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3779 loss: 1.3779 2022/07/30 06:17:49 - mmengine - INFO - Epoch(train) [152][2760/3757] lr: 6.2690e-04 eta: 12:18:09 time: 0.4133 data_time: 0.0193 memory: 17006 grad_norm: 11.1874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0748 loss: 1.0748 2022/07/30 06:17:57 - mmengine - INFO - Epoch(train) [152][2780/3757] lr: 6.2690e-04 eta: 12:18:01 time: 0.4087 data_time: 0.0227 memory: 17006 grad_norm: 11.4620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5220 loss: 1.5220 2022/07/30 06:18:06 - mmengine - INFO - Epoch(train) [152][2800/3757] lr: 6.2690e-04 eta: 12:17:53 time: 0.4227 data_time: 0.0196 memory: 17006 grad_norm: 10.9516 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3289 loss: 1.3289 2022/07/30 06:18:14 - mmengine - INFO - Epoch(train) [152][2820/3757] lr: 6.2690e-04 eta: 12:17:44 time: 0.4066 data_time: 0.0216 memory: 17006 grad_norm: 11.2156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3792 loss: 1.3792 2022/07/30 06:18:23 - mmengine - INFO - Epoch(train) [152][2840/3757] lr: 6.2690e-04 eta: 12:17:36 time: 0.4434 data_time: 0.0209 memory: 17006 grad_norm: 11.8233 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7636 loss: 1.7636 2022/07/30 06:18:31 - mmengine - INFO - Epoch(train) [152][2860/3757] lr: 6.2690e-04 eta: 12:17:28 time: 0.4059 data_time: 0.0215 memory: 17006 grad_norm: 11.6092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9601 loss: 0.9601 2022/07/30 06:18:39 - mmengine - INFO - Epoch(train) [152][2880/3757] lr: 6.2690e-04 eta: 12:17:19 time: 0.4048 data_time: 0.0212 memory: 17006 grad_norm: 11.4252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1144 loss: 1.1144 2022/07/30 06:18:48 - mmengine - INFO - Epoch(train) [152][2900/3757] lr: 6.2690e-04 eta: 12:17:11 time: 0.4332 data_time: 0.0212 memory: 17006 grad_norm: 11.6751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2826 loss: 1.2826 2022/07/30 06:18:56 - mmengine - INFO - Epoch(train) [152][2920/3757] lr: 6.2690e-04 eta: 12:17:02 time: 0.4048 data_time: 0.0183 memory: 17006 grad_norm: 11.8228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3413 loss: 1.3413 2022/07/30 06:19:04 - mmengine - INFO - Epoch(train) [152][2940/3757] lr: 6.2690e-04 eta: 12:16:54 time: 0.4263 data_time: 0.0232 memory: 17006 grad_norm: 11.8651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/07/30 06:19:13 - mmengine - INFO - Epoch(train) [152][2960/3757] lr: 6.2690e-04 eta: 12:16:46 time: 0.4039 data_time: 0.0178 memory: 17006 grad_norm: 11.7760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5195 loss: 1.5195 2022/07/30 06:19:21 - mmengine - INFO - Epoch(train) [152][2980/3757] lr: 6.2690e-04 eta: 12:16:37 time: 0.4067 data_time: 0.0219 memory: 17006 grad_norm: 11.2140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3223 loss: 1.3223 2022/07/30 06:19:29 - mmengine - INFO - Epoch(train) [152][3000/3757] lr: 6.2690e-04 eta: 12:16:29 time: 0.4271 data_time: 0.0203 memory: 17006 grad_norm: 10.5678 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4373 loss: 1.4373 2022/07/30 06:19:37 - mmengine - INFO - Epoch(train) [152][3020/3757] lr: 6.2690e-04 eta: 12:16:21 time: 0.4081 data_time: 0.0226 memory: 17006 grad_norm: 11.3779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2288 loss: 1.2288 2022/07/30 06:19:46 - mmengine - INFO - Epoch(train) [152][3040/3757] lr: 6.2690e-04 eta: 12:16:12 time: 0.4166 data_time: 0.0204 memory: 17006 grad_norm: 11.3034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2070 loss: 1.2070 2022/07/30 06:19:54 - mmengine - INFO - Epoch(train) [152][3060/3757] lr: 6.2690e-04 eta: 12:16:04 time: 0.4177 data_time: 0.0225 memory: 17006 grad_norm: 11.1943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0719 loss: 1.0719 2022/07/30 06:20:03 - mmengine - INFO - Epoch(train) [152][3080/3757] lr: 6.2690e-04 eta: 12:15:56 time: 0.4331 data_time: 0.0201 memory: 17006 grad_norm: 12.2487 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2903 loss: 1.2903 2022/07/30 06:20:11 - mmengine - INFO - Epoch(train) [152][3100/3757] lr: 6.2690e-04 eta: 12:15:47 time: 0.4049 data_time: 0.0216 memory: 17006 grad_norm: 11.2166 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2018 loss: 1.2018 2022/07/30 06:20:19 - mmengine - INFO - Epoch(train) [152][3120/3757] lr: 6.2690e-04 eta: 12:15:39 time: 0.4048 data_time: 0.0179 memory: 17006 grad_norm: 11.3433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0375 loss: 1.0375 2022/07/30 06:20:28 - mmengine - INFO - Epoch(train) [152][3140/3757] lr: 6.2690e-04 eta: 12:15:31 time: 0.4395 data_time: 0.0242 memory: 17006 grad_norm: 11.7706 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2970 loss: 1.2970 2022/07/30 06:20:37 - mmengine - INFO - Epoch(train) [152][3160/3757] lr: 6.2690e-04 eta: 12:15:23 time: 0.4300 data_time: 0.0177 memory: 17006 grad_norm: 11.5686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2777 loss: 1.2777 2022/07/30 06:20:45 - mmengine - INFO - Epoch(train) [152][3180/3757] lr: 6.2690e-04 eta: 12:15:14 time: 0.4181 data_time: 0.0237 memory: 17006 grad_norm: 10.8184 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2248 loss: 1.2248 2022/07/30 06:20:53 - mmengine - INFO - Epoch(train) [152][3200/3757] lr: 6.2690e-04 eta: 12:15:06 time: 0.4040 data_time: 0.0191 memory: 17006 grad_norm: 11.6348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4786 loss: 1.4786 2022/07/30 06:21:01 - mmengine - INFO - Epoch(train) [152][3220/3757] lr: 6.2690e-04 eta: 12:14:57 time: 0.4099 data_time: 0.0216 memory: 17006 grad_norm: 11.4042 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9936 loss: 0.9936 2022/07/30 06:21:10 - mmengine - INFO - Epoch(train) [152][3240/3757] lr: 6.2690e-04 eta: 12:14:49 time: 0.4106 data_time: 0.0200 memory: 17006 grad_norm: 11.5315 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2390 loss: 1.2390 2022/07/30 06:21:18 - mmengine - INFO - Epoch(train) [152][3260/3757] lr: 6.2690e-04 eta: 12:14:40 time: 0.4174 data_time: 0.0214 memory: 17006 grad_norm: 11.3562 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/07/30 06:21:26 - mmengine - INFO - Epoch(train) [152][3280/3757] lr: 6.2690e-04 eta: 12:14:32 time: 0.4148 data_time: 0.0202 memory: 17006 grad_norm: 11.6533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0883 loss: 1.0883 2022/07/30 06:21:34 - mmengine - INFO - Epoch(train) [152][3300/3757] lr: 6.2690e-04 eta: 12:14:24 time: 0.4093 data_time: 0.0217 memory: 17006 grad_norm: 11.1331 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9417 loss: 0.9417 2022/07/30 06:21:43 - mmengine - INFO - Epoch(train) [152][3320/3757] lr: 6.2690e-04 eta: 12:14:15 time: 0.4180 data_time: 0.0200 memory: 17006 grad_norm: 11.6240 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1179 loss: 1.1179 2022/07/30 06:21:51 - mmengine - INFO - Epoch(train) [152][3340/3757] lr: 6.2690e-04 eta: 12:14:07 time: 0.4067 data_time: 0.0214 memory: 17006 grad_norm: 11.2988 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2015 loss: 1.2015 2022/07/30 06:21:59 - mmengine - INFO - Epoch(train) [152][3360/3757] lr: 6.2690e-04 eta: 12:13:58 time: 0.4074 data_time: 0.0178 memory: 17006 grad_norm: 11.4014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4504 loss: 1.4504 2022/07/30 06:22:08 - mmengine - INFO - Epoch(train) [152][3380/3757] lr: 6.2690e-04 eta: 12:13:50 time: 0.4304 data_time: 0.0266 memory: 17006 grad_norm: 11.1115 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1296 loss: 1.1296 2022/07/30 06:22:16 - mmengine - INFO - Epoch(train) [152][3400/3757] lr: 6.2690e-04 eta: 12:13:42 time: 0.4041 data_time: 0.0195 memory: 17006 grad_norm: 11.0558 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3553 loss: 1.3553 2022/07/30 06:22:25 - mmengine - INFO - Epoch(train) [152][3420/3757] lr: 6.2690e-04 eta: 12:13:34 time: 0.4478 data_time: 0.0239 memory: 17006 grad_norm: 11.5175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1842 loss: 1.1842 2022/07/30 06:22:33 - mmengine - INFO - Epoch(train) [152][3440/3757] lr: 6.2690e-04 eta: 12:13:25 time: 0.4065 data_time: 0.0197 memory: 17006 grad_norm: 11.4416 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5900 loss: 1.5900 2022/07/30 06:22:41 - mmengine - INFO - Epoch(train) [152][3460/3757] lr: 6.2690e-04 eta: 12:13:17 time: 0.4068 data_time: 0.0205 memory: 17006 grad_norm: 11.4246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2591 loss: 1.2591 2022/07/30 06:22:50 - mmengine - INFO - Epoch(train) [152][3480/3757] lr: 6.2690e-04 eta: 12:13:08 time: 0.4194 data_time: 0.0195 memory: 17006 grad_norm: 11.2694 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0482 loss: 1.0482 2022/07/30 06:22:58 - mmengine - INFO - Epoch(train) [152][3500/3757] lr: 6.2690e-04 eta: 12:13:00 time: 0.4090 data_time: 0.0235 memory: 17006 grad_norm: 11.4486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8491 loss: 0.8491 2022/07/30 06:23:06 - mmengine - INFO - Epoch(train) [152][3520/3757] lr: 6.2690e-04 eta: 12:12:52 time: 0.4116 data_time: 0.0202 memory: 17006 grad_norm: 11.3378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3130 loss: 1.3130 2022/07/30 06:23:14 - mmengine - INFO - Epoch(train) [152][3540/3757] lr: 6.2690e-04 eta: 12:12:43 time: 0.4088 data_time: 0.0227 memory: 17006 grad_norm: 11.6363 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1825 loss: 1.1825 2022/07/30 06:23:23 - mmengine - INFO - Epoch(train) [152][3560/3757] lr: 6.2690e-04 eta: 12:12:35 time: 0.4160 data_time: 0.0191 memory: 17006 grad_norm: 11.4372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5056 loss: 1.5056 2022/07/30 06:23:31 - mmengine - INFO - Epoch(train) [152][3580/3757] lr: 6.2690e-04 eta: 12:12:26 time: 0.4071 data_time: 0.0232 memory: 17006 grad_norm: 11.1827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2925 loss: 1.2925 2022/07/30 06:23:39 - mmengine - INFO - Epoch(train) [152][3600/3757] lr: 6.2690e-04 eta: 12:12:18 time: 0.4190 data_time: 0.0193 memory: 17006 grad_norm: 11.5547 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4321 loss: 1.4321 2022/07/30 06:23:48 - mmengine - INFO - Epoch(train) [152][3620/3757] lr: 6.2690e-04 eta: 12:12:10 time: 0.4171 data_time: 0.0212 memory: 17006 grad_norm: 11.5483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1002 loss: 1.1002 2022/07/30 06:23:56 - mmengine - INFO - Epoch(train) [152][3640/3757] lr: 6.2690e-04 eta: 12:12:01 time: 0.4193 data_time: 0.0201 memory: 17006 grad_norm: 11.1054 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0572 loss: 1.0572 2022/07/30 06:24:04 - mmengine - INFO - Epoch(train) [152][3660/3757] lr: 6.2690e-04 eta: 12:11:53 time: 0.4176 data_time: 0.0227 memory: 17006 grad_norm: 12.1226 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1132 loss: 1.1132 2022/07/30 06:24:13 - mmengine - INFO - Epoch(train) [152][3680/3757] lr: 6.2690e-04 eta: 12:11:45 time: 0.4450 data_time: 0.0180 memory: 17006 grad_norm: 12.0193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4031 loss: 1.4031 2022/07/30 06:24:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:24:22 - mmengine - INFO - Epoch(train) [152][3700/3757] lr: 6.2690e-04 eta: 12:11:37 time: 0.4076 data_time: 0.0221 memory: 17006 grad_norm: 11.3412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2270 loss: 1.2270 2022/07/30 06:24:30 - mmengine - INFO - Epoch(train) [152][3720/3757] lr: 6.2690e-04 eta: 12:11:28 time: 0.4050 data_time: 0.0185 memory: 17006 grad_norm: 11.4986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2877 loss: 1.2877 2022/07/30 06:24:38 - mmengine - INFO - Epoch(train) [152][3740/3757] lr: 6.2690e-04 eta: 12:11:20 time: 0.4234 data_time: 0.0238 memory: 17006 grad_norm: 12.2862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3004 loss: 1.3004 2022/07/30 06:24:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:24:45 - mmengine - INFO - Epoch(train) [152][3757/3757] lr: 6.2690e-04 eta: 12:11:20 time: 0.3957 data_time: 0.0180 memory: 17006 grad_norm: 12.2570 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2964 loss: 1.2964 2022/07/30 06:24:45 - mmengine - INFO - Saving checkpoint at 152 epochs 2022/07/30 06:24:57 - mmengine - INFO - Epoch(train) [153][20/3757] lr: 5.8526e-04 eta: 12:11:00 time: 0.4794 data_time: 0.0926 memory: 17006 grad_norm: 11.1193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0579 loss: 1.0579 2022/07/30 06:25:06 - mmengine - INFO - Epoch(train) [153][40/3757] lr: 5.8526e-04 eta: 12:10:51 time: 0.4194 data_time: 0.0252 memory: 17006 grad_norm: 10.4917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2321 loss: 1.2321 2022/07/30 06:25:14 - mmengine - INFO - Epoch(train) [153][60/3757] lr: 5.8526e-04 eta: 12:10:43 time: 0.4080 data_time: 0.0206 memory: 17006 grad_norm: 11.2488 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1981 loss: 1.1981 2022/07/30 06:25:22 - mmengine - INFO - Epoch(train) [153][80/3757] lr: 5.8526e-04 eta: 12:10:35 time: 0.4160 data_time: 0.0233 memory: 17006 grad_norm: 11.1179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2903 loss: 1.2903 2022/07/30 06:25:30 - mmengine - INFO - Epoch(train) [153][100/3757] lr: 5.8526e-04 eta: 12:10:26 time: 0.4041 data_time: 0.0204 memory: 17006 grad_norm: 11.3502 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4921 loss: 1.4921 2022/07/30 06:25:39 - mmengine - INFO - Epoch(train) [153][120/3757] lr: 5.8526e-04 eta: 12:10:18 time: 0.4084 data_time: 0.0219 memory: 17006 grad_norm: 11.6493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2291 loss: 1.2291 2022/07/30 06:25:47 - mmengine - INFO - Epoch(train) [153][140/3757] lr: 5.8526e-04 eta: 12:10:09 time: 0.4242 data_time: 0.0193 memory: 17006 grad_norm: 10.9998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2146 loss: 1.2146 2022/07/30 06:25:55 - mmengine - INFO - Epoch(train) [153][160/3757] lr: 5.8526e-04 eta: 12:10:01 time: 0.4119 data_time: 0.0222 memory: 17006 grad_norm: 11.6981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5043 loss: 1.5043 2022/07/30 06:26:04 - mmengine - INFO - Epoch(train) [153][180/3757] lr: 5.8526e-04 eta: 12:09:53 time: 0.4103 data_time: 0.0205 memory: 17006 grad_norm: 11.5855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5908 loss: 1.5908 2022/07/30 06:26:12 - mmengine - INFO - Epoch(train) [153][200/3757] lr: 5.8526e-04 eta: 12:09:44 time: 0.4074 data_time: 0.0211 memory: 17006 grad_norm: 11.3170 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4524 loss: 1.4524 2022/07/30 06:26:20 - mmengine - INFO - Epoch(train) [153][220/3757] lr: 5.8526e-04 eta: 12:09:36 time: 0.4080 data_time: 0.0193 memory: 17006 grad_norm: 11.2622 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4465 loss: 1.4465 2022/07/30 06:26:29 - mmengine - INFO - Epoch(train) [153][240/3757] lr: 5.8526e-04 eta: 12:09:28 time: 0.4461 data_time: 0.0226 memory: 17006 grad_norm: 11.5797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/07/30 06:26:37 - mmengine - INFO - Epoch(train) [153][260/3757] lr: 5.8526e-04 eta: 12:09:19 time: 0.4067 data_time: 0.0202 memory: 17006 grad_norm: 11.4138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2505 loss: 1.2505 2022/07/30 06:26:45 - mmengine - INFO - Epoch(train) [153][280/3757] lr: 5.8526e-04 eta: 12:09:11 time: 0.4130 data_time: 0.0223 memory: 17006 grad_norm: 11.3288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9181 loss: 0.9181 2022/07/30 06:26:54 - mmengine - INFO - Epoch(train) [153][300/3757] lr: 5.8526e-04 eta: 12:09:02 time: 0.4108 data_time: 0.0202 memory: 17006 grad_norm: 11.2693 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1514 loss: 1.1514 2022/07/30 06:27:02 - mmengine - INFO - Epoch(train) [153][320/3757] lr: 5.8526e-04 eta: 12:08:54 time: 0.4083 data_time: 0.0216 memory: 17006 grad_norm: 11.1218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1364 loss: 1.1364 2022/07/30 06:27:10 - mmengine - INFO - Epoch(train) [153][340/3757] lr: 5.8526e-04 eta: 12:08:45 time: 0.4091 data_time: 0.0190 memory: 17006 grad_norm: 11.2480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3435 loss: 1.3435 2022/07/30 06:27:19 - mmengine - INFO - Epoch(train) [153][360/3757] lr: 5.8526e-04 eta: 12:08:38 time: 0.4614 data_time: 0.0236 memory: 17006 grad_norm: 11.9674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2780 loss: 1.2780 2022/07/30 06:27:28 - mmengine - INFO - Epoch(train) [153][380/3757] lr: 5.8526e-04 eta: 12:08:29 time: 0.4144 data_time: 0.0199 memory: 17006 grad_norm: 11.9100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4795 loss: 1.4795 2022/07/30 06:27:36 - mmengine - INFO - Epoch(train) [153][400/3757] lr: 5.8526e-04 eta: 12:08:21 time: 0.4222 data_time: 0.0220 memory: 17006 grad_norm: 11.2287 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3595 loss: 1.3595 2022/07/30 06:27:44 - mmengine - INFO - Epoch(train) [153][420/3757] lr: 5.8526e-04 eta: 12:08:13 time: 0.4131 data_time: 0.0219 memory: 17006 grad_norm: 11.5808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3793 loss: 1.3793 2022/07/30 06:27:53 - mmengine - INFO - Epoch(train) [153][440/3757] lr: 5.8526e-04 eta: 12:08:04 time: 0.4101 data_time: 0.0228 memory: 17006 grad_norm: 11.2497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/07/30 06:28:01 - mmengine - INFO - Epoch(train) [153][460/3757] lr: 5.8526e-04 eta: 12:07:56 time: 0.4054 data_time: 0.0192 memory: 17006 grad_norm: 11.1037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0106 loss: 1.0106 2022/07/30 06:28:09 - mmengine - INFO - Epoch(train) [153][480/3757] lr: 5.8526e-04 eta: 12:07:47 time: 0.4094 data_time: 0.0224 memory: 17006 grad_norm: 11.7441 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1315 loss: 1.1315 2022/07/30 06:28:17 - mmengine - INFO - Epoch(train) [153][500/3757] lr: 5.8526e-04 eta: 12:07:39 time: 0.4127 data_time: 0.0229 memory: 17006 grad_norm: 11.1015 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2577 loss: 1.2577 2022/07/30 06:28:26 - mmengine - INFO - Epoch(train) [153][520/3757] lr: 5.8526e-04 eta: 12:07:31 time: 0.4151 data_time: 0.0226 memory: 17006 grad_norm: 11.4656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3585 loss: 1.3585 2022/07/30 06:28:34 - mmengine - INFO - Epoch(train) [153][540/3757] lr: 5.8526e-04 eta: 12:07:22 time: 0.4054 data_time: 0.0199 memory: 17006 grad_norm: 11.5067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2542 loss: 1.2542 2022/07/30 06:28:42 - mmengine - INFO - Epoch(train) [153][560/3757] lr: 5.8526e-04 eta: 12:07:13 time: 0.4056 data_time: 0.0211 memory: 17006 grad_norm: 11.1208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2766 loss: 1.2766 2022/07/30 06:28:50 - mmengine - INFO - Epoch(train) [153][580/3757] lr: 5.8526e-04 eta: 12:07:05 time: 0.4070 data_time: 0.0193 memory: 17006 grad_norm: 11.2221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9921 loss: 0.9921 2022/07/30 06:28:58 - mmengine - INFO - Epoch(train) [153][600/3757] lr: 5.8526e-04 eta: 12:06:57 time: 0.4136 data_time: 0.0218 memory: 17006 grad_norm: 10.8362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1593 loss: 1.1593 2022/07/30 06:29:07 - mmengine - INFO - Epoch(train) [153][620/3757] lr: 5.8526e-04 eta: 12:06:48 time: 0.4093 data_time: 0.0209 memory: 17006 grad_norm: 11.4816 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4785 loss: 1.4785 2022/07/30 06:29:15 - mmengine - INFO - Epoch(train) [153][640/3757] lr: 5.8526e-04 eta: 12:06:40 time: 0.4152 data_time: 0.0213 memory: 17006 grad_norm: 11.6263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4024 loss: 1.4024 2022/07/30 06:29:24 - mmengine - INFO - Epoch(train) [153][660/3757] lr: 5.8526e-04 eta: 12:06:32 time: 0.4385 data_time: 0.0213 memory: 17006 grad_norm: 11.4102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4509 loss: 1.4509 2022/07/30 06:29:32 - mmengine - INFO - Epoch(train) [153][680/3757] lr: 5.8526e-04 eta: 12:06:23 time: 0.4061 data_time: 0.0203 memory: 17006 grad_norm: 10.9237 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0895 loss: 1.0895 2022/07/30 06:29:40 - mmengine - INFO - Epoch(train) [153][700/3757] lr: 5.8526e-04 eta: 12:06:15 time: 0.4206 data_time: 0.0195 memory: 17006 grad_norm: 11.4027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1731 loss: 1.1731 2022/07/30 06:29:49 - mmengine - INFO - Epoch(train) [153][720/3757] lr: 5.8526e-04 eta: 12:06:06 time: 0.4085 data_time: 0.0228 memory: 17006 grad_norm: 11.7076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1082 loss: 1.1082 2022/07/30 06:29:57 - mmengine - INFO - Epoch(train) [153][740/3757] lr: 5.8526e-04 eta: 12:05:58 time: 0.4297 data_time: 0.0227 memory: 17006 grad_norm: 11.1788 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2075 loss: 1.2075 2022/07/30 06:30:05 - mmengine - INFO - Epoch(train) [153][760/3757] lr: 5.8526e-04 eta: 12:05:50 time: 0.4086 data_time: 0.0218 memory: 17006 grad_norm: 11.3445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4057 loss: 1.4057 2022/07/30 06:30:14 - mmengine - INFO - Epoch(train) [153][780/3757] lr: 5.8526e-04 eta: 12:05:42 time: 0.4315 data_time: 0.0209 memory: 17006 grad_norm: 11.2241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3872 loss: 1.3872 2022/07/30 06:30:22 - mmengine - INFO - Epoch(train) [153][800/3757] lr: 5.8526e-04 eta: 12:05:33 time: 0.4069 data_time: 0.0220 memory: 17006 grad_norm: 11.1921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2636 loss: 1.2636 2022/07/30 06:30:30 - mmengine - INFO - Epoch(train) [153][820/3757] lr: 5.8526e-04 eta: 12:05:25 time: 0.4041 data_time: 0.0188 memory: 17006 grad_norm: 11.0448 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/07/30 06:30:39 - mmengine - INFO - Epoch(train) [153][840/3757] lr: 5.8526e-04 eta: 12:05:17 time: 0.4394 data_time: 0.0219 memory: 17006 grad_norm: 10.8696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4232 loss: 1.4232 2022/07/30 06:30:47 - mmengine - INFO - Epoch(train) [153][860/3757] lr: 5.8526e-04 eta: 12:05:08 time: 0.4082 data_time: 0.0211 memory: 17006 grad_norm: 10.8195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2842 loss: 1.2842 2022/07/30 06:30:56 - mmengine - INFO - Epoch(train) [153][880/3757] lr: 5.8526e-04 eta: 12:05:00 time: 0.4104 data_time: 0.0222 memory: 17006 grad_norm: 11.0178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4356 loss: 1.4356 2022/07/30 06:31:04 - mmengine - INFO - Epoch(train) [153][900/3757] lr: 5.8526e-04 eta: 12:04:51 time: 0.4179 data_time: 0.0205 memory: 17006 grad_norm: 10.7625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3136 loss: 1.3136 2022/07/30 06:31:12 - mmengine - INFO - Epoch(train) [153][920/3757] lr: 5.8526e-04 eta: 12:04:43 time: 0.4058 data_time: 0.0207 memory: 17006 grad_norm: 11.2452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/07/30 06:31:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:31:20 - mmengine - INFO - Epoch(train) [153][940/3757] lr: 5.8526e-04 eta: 12:04:35 time: 0.4186 data_time: 0.0203 memory: 17006 grad_norm: 11.6140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0654 loss: 1.0654 2022/07/30 06:31:29 - mmengine - INFO - Epoch(train) [153][960/3757] lr: 5.8526e-04 eta: 12:04:26 time: 0.4092 data_time: 0.0228 memory: 17006 grad_norm: 12.0041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6244 loss: 1.6244 2022/07/30 06:31:37 - mmengine - INFO - Epoch(train) [153][980/3757] lr: 5.8526e-04 eta: 12:04:18 time: 0.4172 data_time: 0.0200 memory: 17006 grad_norm: 11.5261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1692 loss: 1.1692 2022/07/30 06:31:46 - mmengine - INFO - Epoch(train) [153][1000/3757] lr: 5.8526e-04 eta: 12:04:10 time: 0.4468 data_time: 0.0236 memory: 17006 grad_norm: 11.9080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2005 loss: 1.2005 2022/07/30 06:31:54 - mmengine - INFO - Epoch(train) [153][1020/3757] lr: 5.8526e-04 eta: 12:04:02 time: 0.4156 data_time: 0.0207 memory: 17006 grad_norm: 11.0495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1988 loss: 1.1988 2022/07/30 06:32:03 - mmengine - INFO - Epoch(train) [153][1040/3757] lr: 5.8526e-04 eta: 12:03:53 time: 0.4165 data_time: 0.0226 memory: 17006 grad_norm: 10.9543 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1514 loss: 1.1514 2022/07/30 06:32:11 - mmengine - INFO - Epoch(train) [153][1060/3757] lr: 5.8526e-04 eta: 12:03:45 time: 0.4047 data_time: 0.0185 memory: 17006 grad_norm: 11.3552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1203 loss: 1.1203 2022/07/30 06:32:19 - mmengine - INFO - Epoch(train) [153][1080/3757] lr: 5.8526e-04 eta: 12:03:36 time: 0.4215 data_time: 0.0230 memory: 17006 grad_norm: 11.9936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2190 loss: 1.2190 2022/07/30 06:32:28 - mmengine - INFO - Epoch(train) [153][1100/3757] lr: 5.8526e-04 eta: 12:03:28 time: 0.4184 data_time: 0.0209 memory: 17006 grad_norm: 11.6448 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5645 loss: 1.5645 2022/07/30 06:32:36 - mmengine - INFO - Epoch(train) [153][1120/3757] lr: 5.8526e-04 eta: 12:03:20 time: 0.4201 data_time: 0.0226 memory: 17006 grad_norm: 11.1671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2933 loss: 1.2933 2022/07/30 06:32:44 - mmengine - INFO - Epoch(train) [153][1140/3757] lr: 5.8526e-04 eta: 12:03:11 time: 0.4066 data_time: 0.0206 memory: 17006 grad_norm: 10.6881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1981 loss: 1.1981 2022/07/30 06:32:53 - mmengine - INFO - Epoch(train) [153][1160/3757] lr: 5.8526e-04 eta: 12:03:03 time: 0.4105 data_time: 0.0200 memory: 17006 grad_norm: 11.8191 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2919 loss: 1.2919 2022/07/30 06:33:01 - mmengine - INFO - Epoch(train) [153][1180/3757] lr: 5.8526e-04 eta: 12:02:54 time: 0.4112 data_time: 0.0196 memory: 17006 grad_norm: 11.8746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/07/30 06:33:09 - mmengine - INFO - Epoch(train) [153][1200/3757] lr: 5.8526e-04 eta: 12:02:46 time: 0.4196 data_time: 0.0219 memory: 17006 grad_norm: 10.7161 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0117 loss: 1.0117 2022/07/30 06:33:18 - mmengine - INFO - Epoch(train) [153][1220/3757] lr: 5.8526e-04 eta: 12:02:38 time: 0.4208 data_time: 0.0195 memory: 17006 grad_norm: 11.6806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3420 loss: 1.3420 2022/07/30 06:33:26 - mmengine - INFO - Epoch(train) [153][1240/3757] lr: 5.8526e-04 eta: 12:02:30 time: 0.4147 data_time: 0.0223 memory: 17006 grad_norm: 11.4454 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4601 loss: 1.4601 2022/07/30 06:33:34 - mmengine - INFO - Epoch(train) [153][1260/3757] lr: 5.8526e-04 eta: 12:02:21 time: 0.4150 data_time: 0.0214 memory: 17006 grad_norm: 11.5035 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4738 loss: 1.4738 2022/07/30 06:33:43 - mmengine - INFO - Epoch(train) [153][1280/3757] lr: 5.8526e-04 eta: 12:02:13 time: 0.4095 data_time: 0.0219 memory: 17006 grad_norm: 12.3277 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4062 loss: 1.4062 2022/07/30 06:33:51 - mmengine - INFO - Epoch(train) [153][1300/3757] lr: 5.8526e-04 eta: 12:02:04 time: 0.4118 data_time: 0.0190 memory: 17006 grad_norm: 11.5336 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6238 loss: 1.6238 2022/07/30 06:33:59 - mmengine - INFO - Epoch(train) [153][1320/3757] lr: 5.8526e-04 eta: 12:01:56 time: 0.4158 data_time: 0.0235 memory: 17006 grad_norm: 11.2137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9509 loss: 0.9509 2022/07/30 06:34:07 - mmengine - INFO - Epoch(train) [153][1340/3757] lr: 5.8526e-04 eta: 12:01:47 time: 0.4077 data_time: 0.0204 memory: 17006 grad_norm: 11.7004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4986 loss: 1.4986 2022/07/30 06:34:16 - mmengine - INFO - Epoch(train) [153][1360/3757] lr: 5.8526e-04 eta: 12:01:39 time: 0.4146 data_time: 0.0220 memory: 17006 grad_norm: 11.6407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4080 loss: 1.4080 2022/07/30 06:34:24 - mmengine - INFO - Epoch(train) [153][1380/3757] lr: 5.8526e-04 eta: 12:01:31 time: 0.4193 data_time: 0.0217 memory: 17006 grad_norm: 11.2526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/07/30 06:34:32 - mmengine - INFO - Epoch(train) [153][1400/3757] lr: 5.8526e-04 eta: 12:01:22 time: 0.4057 data_time: 0.0213 memory: 17006 grad_norm: 11.2740 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2999 loss: 1.2999 2022/07/30 06:34:40 - mmengine - INFO - Epoch(train) [153][1420/3757] lr: 5.8526e-04 eta: 12:01:14 time: 0.4100 data_time: 0.0217 memory: 17006 grad_norm: 10.7943 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/07/30 06:34:50 - mmengine - INFO - Epoch(train) [153][1440/3757] lr: 5.8526e-04 eta: 12:01:06 time: 0.4550 data_time: 0.0256 memory: 17006 grad_norm: 10.8117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1085 loss: 1.1085 2022/07/30 06:34:58 - mmengine - INFO - Epoch(train) [153][1460/3757] lr: 5.8526e-04 eta: 12:00:58 time: 0.4321 data_time: 0.0226 memory: 17006 grad_norm: 11.3737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3271 loss: 1.3271 2022/07/30 06:35:06 - mmengine - INFO - Epoch(train) [153][1480/3757] lr: 5.8526e-04 eta: 12:00:49 time: 0.4092 data_time: 0.0220 memory: 17006 grad_norm: 11.4396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3560 loss: 1.3560 2022/07/30 06:35:16 - mmengine - INFO - Epoch(train) [153][1500/3757] lr: 5.8526e-04 eta: 12:00:42 time: 0.4805 data_time: 0.0216 memory: 17006 grad_norm: 10.9925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4012 loss: 1.4012 2022/07/30 06:35:24 - mmengine - INFO - Epoch(train) [153][1520/3757] lr: 5.8526e-04 eta: 12:00:34 time: 0.4086 data_time: 0.0215 memory: 17006 grad_norm: 11.6238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5064 loss: 1.5064 2022/07/30 06:35:32 - mmengine - INFO - Epoch(train) [153][1540/3757] lr: 5.8526e-04 eta: 12:00:25 time: 0.4043 data_time: 0.0188 memory: 17006 grad_norm: 11.3237 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1932 loss: 1.1932 2022/07/30 06:35:41 - mmengine - INFO - Epoch(train) [153][1560/3757] lr: 5.8526e-04 eta: 12:00:17 time: 0.4166 data_time: 0.0232 memory: 17006 grad_norm: 11.1429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3088 loss: 1.3088 2022/07/30 06:35:49 - mmengine - INFO - Epoch(train) [153][1580/3757] lr: 5.8526e-04 eta: 12:00:08 time: 0.4050 data_time: 0.0207 memory: 17006 grad_norm: 11.0600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/07/30 06:35:58 - mmengine - INFO - Epoch(train) [153][1600/3757] lr: 5.8526e-04 eta: 12:00:00 time: 0.4338 data_time: 0.0232 memory: 17006 grad_norm: 11.6099 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3969 loss: 1.3969 2022/07/30 06:36:06 - mmengine - INFO - Epoch(train) [153][1620/3757] lr: 5.8526e-04 eta: 11:59:52 time: 0.4062 data_time: 0.0202 memory: 17006 grad_norm: 11.7541 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3337 loss: 1.3337 2022/07/30 06:36:15 - mmengine - INFO - Epoch(train) [153][1640/3757] lr: 5.8526e-04 eta: 11:59:44 time: 0.4775 data_time: 0.0231 memory: 17006 grad_norm: 10.6335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1170 loss: 1.1170 2022/07/30 06:36:23 - mmengine - INFO - Epoch(train) [153][1660/3757] lr: 5.8526e-04 eta: 11:59:36 time: 0.4042 data_time: 0.0195 memory: 17006 grad_norm: 11.9391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2052 loss: 1.2052 2022/07/30 06:36:32 - mmengine - INFO - Epoch(train) [153][1680/3757] lr: 5.8526e-04 eta: 11:59:27 time: 0.4053 data_time: 0.0199 memory: 17006 grad_norm: 11.4876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1857 loss: 1.1857 2022/07/30 06:36:40 - mmengine - INFO - Epoch(train) [153][1700/3757] lr: 5.8526e-04 eta: 11:59:19 time: 0.4104 data_time: 0.0206 memory: 17006 grad_norm: 11.7264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1934 loss: 1.1934 2022/07/30 06:36:48 - mmengine - INFO - Epoch(train) [153][1720/3757] lr: 5.8526e-04 eta: 11:59:10 time: 0.4058 data_time: 0.0213 memory: 17006 grad_norm: 11.8937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5633 loss: 1.5633 2022/07/30 06:36:57 - mmengine - INFO - Epoch(train) [153][1740/3757] lr: 5.8526e-04 eta: 11:59:02 time: 0.4451 data_time: 0.0207 memory: 17006 grad_norm: 11.0702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2603 loss: 1.2603 2022/07/30 06:37:05 - mmengine - INFO - Epoch(train) [153][1760/3757] lr: 5.8526e-04 eta: 11:58:54 time: 0.4102 data_time: 0.0229 memory: 17006 grad_norm: 11.6937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4507 loss: 1.4507 2022/07/30 06:37:14 - mmengine - INFO - Epoch(train) [153][1780/3757] lr: 5.8526e-04 eta: 11:58:46 time: 0.4293 data_time: 0.0204 memory: 17006 grad_norm: 11.8400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/07/30 06:37:22 - mmengine - INFO - Epoch(train) [153][1800/3757] lr: 5.8526e-04 eta: 11:58:37 time: 0.4055 data_time: 0.0212 memory: 17006 grad_norm: 11.6447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3075 loss: 1.3075 2022/07/30 06:37:30 - mmengine - INFO - Epoch(train) [153][1820/3757] lr: 5.8526e-04 eta: 11:58:29 time: 0.4074 data_time: 0.0216 memory: 17006 grad_norm: 10.9783 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4043 loss: 1.4043 2022/07/30 06:37:39 - mmengine - INFO - Epoch(train) [153][1840/3757] lr: 5.8526e-04 eta: 11:58:21 time: 0.4295 data_time: 0.0229 memory: 17006 grad_norm: 11.4065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9559 loss: 0.9559 2022/07/30 06:37:47 - mmengine - INFO - Epoch(train) [153][1860/3757] lr: 5.8526e-04 eta: 11:58:12 time: 0.4088 data_time: 0.0207 memory: 17006 grad_norm: 11.5638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1930 loss: 1.1930 2022/07/30 06:37:56 - mmengine - INFO - Epoch(train) [153][1880/3757] lr: 5.8526e-04 eta: 11:58:04 time: 0.4461 data_time: 0.0223 memory: 17006 grad_norm: 11.4844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2316 loss: 1.2316 2022/07/30 06:38:04 - mmengine - INFO - Epoch(train) [153][1900/3757] lr: 5.8526e-04 eta: 11:57:56 time: 0.4072 data_time: 0.0189 memory: 17006 grad_norm: 10.8397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1853 loss: 1.1853 2022/07/30 06:38:12 - mmengine - INFO - Epoch(train) [153][1920/3757] lr: 5.8526e-04 eta: 11:57:47 time: 0.4060 data_time: 0.0214 memory: 17006 grad_norm: 11.6298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2140 loss: 1.2140 2022/07/30 06:38:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:38:21 - mmengine - INFO - Epoch(train) [153][1940/3757] lr: 5.8526e-04 eta: 11:57:39 time: 0.4213 data_time: 0.0205 memory: 17006 grad_norm: 11.4120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6579 loss: 1.6579 2022/07/30 06:38:29 - mmengine - INFO - Epoch(train) [153][1960/3757] lr: 5.8526e-04 eta: 11:57:30 time: 0.4084 data_time: 0.0230 memory: 17006 grad_norm: 11.4709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5092 loss: 1.5092 2022/07/30 06:38:37 - mmengine - INFO - Epoch(train) [153][1980/3757] lr: 5.8526e-04 eta: 11:57:22 time: 0.4309 data_time: 0.0205 memory: 17006 grad_norm: 11.9006 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3577 loss: 1.3577 2022/07/30 06:38:46 - mmengine - INFO - Epoch(train) [153][2000/3757] lr: 5.8526e-04 eta: 11:57:14 time: 0.4065 data_time: 0.0215 memory: 17006 grad_norm: 10.9858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1220 loss: 1.1220 2022/07/30 06:38:55 - mmengine - INFO - Epoch(train) [153][2020/3757] lr: 5.8526e-04 eta: 11:57:06 time: 0.4518 data_time: 0.0201 memory: 17006 grad_norm: 11.2140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0740 loss: 1.0740 2022/07/30 06:39:03 - mmengine - INFO - Epoch(train) [153][2040/3757] lr: 5.8526e-04 eta: 11:56:57 time: 0.4059 data_time: 0.0219 memory: 17006 grad_norm: 10.8034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1470 loss: 1.1470 2022/07/30 06:39:11 - mmengine - INFO - Epoch(train) [153][2060/3757] lr: 5.8526e-04 eta: 11:56:49 time: 0.4059 data_time: 0.0190 memory: 17006 grad_norm: 11.4731 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0026 loss: 1.0026 2022/07/30 06:39:19 - mmengine - INFO - Epoch(train) [153][2080/3757] lr: 5.8526e-04 eta: 11:56:41 time: 0.4184 data_time: 0.0235 memory: 17006 grad_norm: 11.6624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1077 loss: 1.1077 2022/07/30 06:39:28 - mmengine - INFO - Epoch(train) [153][2100/3757] lr: 5.8526e-04 eta: 11:56:32 time: 0.4183 data_time: 0.0209 memory: 17006 grad_norm: 12.0865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3190 loss: 1.3190 2022/07/30 06:39:36 - mmengine - INFO - Epoch(train) [153][2120/3757] lr: 5.8526e-04 eta: 11:56:24 time: 0.4127 data_time: 0.0233 memory: 17006 grad_norm: 12.0461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9825 loss: 0.9825 2022/07/30 06:39:44 - mmengine - INFO - Epoch(train) [153][2140/3757] lr: 5.8526e-04 eta: 11:56:16 time: 0.4141 data_time: 0.0187 memory: 17006 grad_norm: 11.4589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2083 loss: 1.2083 2022/07/30 06:39:52 - mmengine - INFO - Epoch(train) [153][2160/3757] lr: 5.8526e-04 eta: 11:56:07 time: 0.4060 data_time: 0.0214 memory: 17006 grad_norm: 12.0560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3483 loss: 1.3483 2022/07/30 06:40:01 - mmengine - INFO - Epoch(train) [153][2180/3757] lr: 5.8526e-04 eta: 11:55:59 time: 0.4143 data_time: 0.0215 memory: 17006 grad_norm: 11.7205 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2723 loss: 1.2723 2022/07/30 06:40:09 - mmengine - INFO - Epoch(train) [153][2200/3757] lr: 5.8526e-04 eta: 11:55:51 time: 0.4285 data_time: 0.0229 memory: 17006 grad_norm: 11.6026 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3805 loss: 1.3805 2022/07/30 06:40:18 - mmengine - INFO - Epoch(train) [153][2220/3757] lr: 5.8526e-04 eta: 11:55:42 time: 0.4206 data_time: 0.0217 memory: 17006 grad_norm: 11.4002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3643 loss: 1.3643 2022/07/30 06:40:26 - mmengine - INFO - Epoch(train) [153][2240/3757] lr: 5.8526e-04 eta: 11:55:34 time: 0.4108 data_time: 0.0219 memory: 17006 grad_norm: 10.9506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1114 loss: 1.1114 2022/07/30 06:40:34 - mmengine - INFO - Epoch(train) [153][2260/3757] lr: 5.8526e-04 eta: 11:55:25 time: 0.4176 data_time: 0.0192 memory: 17006 grad_norm: 12.0159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0954 loss: 1.0954 2022/07/30 06:40:43 - mmengine - INFO - Epoch(train) [153][2280/3757] lr: 5.8526e-04 eta: 11:55:17 time: 0.4070 data_time: 0.0223 memory: 17006 grad_norm: 11.0537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5200 loss: 1.5200 2022/07/30 06:40:51 - mmengine - INFO - Epoch(train) [153][2300/3757] lr: 5.8526e-04 eta: 11:55:08 time: 0.4029 data_time: 0.0186 memory: 17006 grad_norm: 10.9990 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2288 loss: 1.2288 2022/07/30 06:41:00 - mmengine - INFO - Epoch(train) [153][2320/3757] lr: 5.8526e-04 eta: 11:55:01 time: 0.4495 data_time: 0.0226 memory: 17006 grad_norm: 11.2354 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1170 loss: 1.1170 2022/07/30 06:41:08 - mmengine - INFO - Epoch(train) [153][2340/3757] lr: 5.8526e-04 eta: 11:54:52 time: 0.4061 data_time: 0.0195 memory: 17006 grad_norm: 11.6446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4111 loss: 1.4111 2022/07/30 06:41:16 - mmengine - INFO - Epoch(train) [153][2360/3757] lr: 5.8526e-04 eta: 11:54:44 time: 0.4234 data_time: 0.0234 memory: 17006 grad_norm: 11.3133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2287 loss: 1.2287 2022/07/30 06:41:26 - mmengine - INFO - Epoch(train) [153][2380/3757] lr: 5.8526e-04 eta: 11:54:36 time: 0.4569 data_time: 0.0216 memory: 17006 grad_norm: 11.5334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3554 loss: 1.3554 2022/07/30 06:41:34 - mmengine - INFO - Epoch(train) [153][2400/3757] lr: 5.8526e-04 eta: 11:54:28 time: 0.4198 data_time: 0.0233 memory: 17006 grad_norm: 11.3148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3775 loss: 1.3775 2022/07/30 06:41:42 - mmengine - INFO - Epoch(train) [153][2420/3757] lr: 5.8526e-04 eta: 11:54:19 time: 0.4044 data_time: 0.0191 memory: 17006 grad_norm: 11.3367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1265 loss: 1.1265 2022/07/30 06:41:50 - mmengine - INFO - Epoch(train) [153][2440/3757] lr: 5.8526e-04 eta: 11:54:11 time: 0.4070 data_time: 0.0214 memory: 17006 grad_norm: 11.2245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3176 loss: 1.3176 2022/07/30 06:41:59 - mmengine - INFO - Epoch(train) [153][2460/3757] lr: 5.8526e-04 eta: 11:54:02 time: 0.4215 data_time: 0.0207 memory: 17006 grad_norm: 11.4470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2959 loss: 1.2959 2022/07/30 06:42:07 - mmengine - INFO - Epoch(train) [153][2480/3757] lr: 5.8526e-04 eta: 11:53:54 time: 0.4072 data_time: 0.0220 memory: 17006 grad_norm: 11.4579 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3221 loss: 1.3221 2022/07/30 06:42:15 - mmengine - INFO - Epoch(train) [153][2500/3757] lr: 5.8526e-04 eta: 11:53:46 time: 0.4257 data_time: 0.0211 memory: 17006 grad_norm: 11.8395 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2566 loss: 1.2566 2022/07/30 06:42:24 - mmengine - INFO - Epoch(train) [153][2520/3757] lr: 5.8526e-04 eta: 11:53:37 time: 0.4108 data_time: 0.0219 memory: 17006 grad_norm: 10.9481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9998 loss: 0.9998 2022/07/30 06:42:32 - mmengine - INFO - Epoch(train) [153][2540/3757] lr: 5.8526e-04 eta: 11:53:29 time: 0.4049 data_time: 0.0209 memory: 17006 grad_norm: 11.2664 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9612 loss: 0.9612 2022/07/30 06:42:40 - mmengine - INFO - Epoch(train) [153][2560/3757] lr: 5.8526e-04 eta: 11:53:21 time: 0.4324 data_time: 0.0224 memory: 17006 grad_norm: 11.8048 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/07/30 06:42:49 - mmengine - INFO - Epoch(train) [153][2580/3757] lr: 5.8526e-04 eta: 11:53:12 time: 0.4051 data_time: 0.0190 memory: 17006 grad_norm: 10.9841 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2679 loss: 1.2679 2022/07/30 06:42:57 - mmengine - INFO - Epoch(train) [153][2600/3757] lr: 5.8526e-04 eta: 11:53:04 time: 0.4382 data_time: 0.0245 memory: 17006 grad_norm: 11.3231 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3505 loss: 1.3505 2022/07/30 06:43:05 - mmengine - INFO - Epoch(train) [153][2620/3757] lr: 5.8526e-04 eta: 11:52:56 time: 0.4037 data_time: 0.0186 memory: 17006 grad_norm: 11.1134 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4204 loss: 1.4204 2022/07/30 06:43:14 - mmengine - INFO - Epoch(train) [153][2640/3757] lr: 5.8526e-04 eta: 11:52:48 time: 0.4322 data_time: 0.0215 memory: 17006 grad_norm: 11.5727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5966 loss: 1.5966 2022/07/30 06:43:22 - mmengine - INFO - Epoch(train) [153][2660/3757] lr: 5.8526e-04 eta: 11:52:39 time: 0.4099 data_time: 0.0192 memory: 17006 grad_norm: 11.9238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5278 loss: 1.5278 2022/07/30 06:43:30 - mmengine - INFO - Epoch(train) [153][2680/3757] lr: 5.8526e-04 eta: 11:52:31 time: 0.4055 data_time: 0.0204 memory: 17006 grad_norm: 11.2194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/07/30 06:43:40 - mmengine - INFO - Epoch(train) [153][2700/3757] lr: 5.8526e-04 eta: 11:52:23 time: 0.4690 data_time: 0.0225 memory: 17006 grad_norm: 11.0003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1959 loss: 1.1959 2022/07/30 06:43:48 - mmengine - INFO - Epoch(train) [153][2720/3757] lr: 5.8526e-04 eta: 11:52:15 time: 0.4074 data_time: 0.0226 memory: 17006 grad_norm: 11.5035 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2934 loss: 1.2934 2022/07/30 06:43:57 - mmengine - INFO - Epoch(train) [153][2740/3757] lr: 5.8526e-04 eta: 11:52:07 time: 0.4453 data_time: 0.0189 memory: 17006 grad_norm: 11.2640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1307 loss: 1.1307 2022/07/30 06:44:05 - mmengine - INFO - Epoch(train) [153][2760/3757] lr: 5.8526e-04 eta: 11:51:58 time: 0.4071 data_time: 0.0227 memory: 17006 grad_norm: 11.6450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4963 loss: 1.4963 2022/07/30 06:44:13 - mmengine - INFO - Epoch(train) [153][2780/3757] lr: 5.8526e-04 eta: 11:51:50 time: 0.4049 data_time: 0.0187 memory: 17006 grad_norm: 11.6188 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3935 loss: 1.3935 2022/07/30 06:44:22 - mmengine - INFO - Epoch(train) [153][2800/3757] lr: 5.8526e-04 eta: 11:51:41 time: 0.4189 data_time: 0.0237 memory: 17006 grad_norm: 11.2069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2054 loss: 1.2054 2022/07/30 06:44:30 - mmengine - INFO - Epoch(train) [153][2820/3757] lr: 5.8526e-04 eta: 11:51:33 time: 0.4042 data_time: 0.0197 memory: 17006 grad_norm: 11.2012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/07/30 06:44:38 - mmengine - INFO - Epoch(train) [153][2840/3757] lr: 5.8526e-04 eta: 11:51:25 time: 0.4256 data_time: 0.0230 memory: 17006 grad_norm: 12.1285 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1014 loss: 1.1014 2022/07/30 06:44:46 - mmengine - INFO - Epoch(train) [153][2860/3757] lr: 5.8526e-04 eta: 11:51:16 time: 0.4046 data_time: 0.0196 memory: 17006 grad_norm: 11.5959 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1942 loss: 1.1942 2022/07/30 06:44:55 - mmengine - INFO - Epoch(train) [153][2880/3757] lr: 5.8526e-04 eta: 11:51:08 time: 0.4278 data_time: 0.0229 memory: 17006 grad_norm: 10.7024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1916 loss: 1.1916 2022/07/30 06:45:03 - mmengine - INFO - Epoch(train) [153][2900/3757] lr: 5.8526e-04 eta: 11:50:59 time: 0.4042 data_time: 0.0197 memory: 17006 grad_norm: 11.8431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3040 loss: 1.3040 2022/07/30 06:45:11 - mmengine - INFO - Epoch(train) [153][2920/3757] lr: 5.8526e-04 eta: 11:50:51 time: 0.4059 data_time: 0.0211 memory: 17006 grad_norm: 11.7123 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/07/30 06:45:18 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:45:20 - mmengine - INFO - Epoch(train) [153][2940/3757] lr: 5.8526e-04 eta: 11:50:43 time: 0.4217 data_time: 0.0205 memory: 17006 grad_norm: 11.5349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/07/30 06:45:28 - mmengine - INFO - Epoch(train) [153][2960/3757] lr: 5.8526e-04 eta: 11:50:34 time: 0.4070 data_time: 0.0223 memory: 17006 grad_norm: 11.2187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2270 loss: 1.2270 2022/07/30 06:45:36 - mmengine - INFO - Epoch(train) [153][2980/3757] lr: 5.8526e-04 eta: 11:50:26 time: 0.4234 data_time: 0.0196 memory: 17006 grad_norm: 11.1733 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1561 loss: 1.1561 2022/07/30 06:45:45 - mmengine - INFO - Epoch(train) [153][3000/3757] lr: 5.8526e-04 eta: 11:50:17 time: 0.4084 data_time: 0.0228 memory: 17006 grad_norm: 11.8019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2830 loss: 1.2830 2022/07/30 06:45:53 - mmengine - INFO - Epoch(train) [153][3020/3757] lr: 5.8526e-04 eta: 11:50:09 time: 0.4049 data_time: 0.0184 memory: 17006 grad_norm: 11.5153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3596 loss: 1.3596 2022/07/30 06:46:02 - mmengine - INFO - Epoch(train) [153][3040/3757] lr: 5.8526e-04 eta: 11:50:01 time: 0.4456 data_time: 0.0223 memory: 17006 grad_norm: 11.1707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1841 loss: 1.1841 2022/07/30 06:46:10 - mmengine - INFO - Epoch(train) [153][3060/3757] lr: 5.8526e-04 eta: 11:49:52 time: 0.4054 data_time: 0.0203 memory: 17006 grad_norm: 11.6647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2414 loss: 1.2414 2022/07/30 06:46:18 - mmengine - INFO - Epoch(train) [153][3080/3757] lr: 5.8526e-04 eta: 11:49:44 time: 0.4110 data_time: 0.0224 memory: 17006 grad_norm: 11.1608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3171 loss: 1.3171 2022/07/30 06:46:26 - mmengine - INFO - Epoch(train) [153][3100/3757] lr: 5.8526e-04 eta: 11:49:35 time: 0.4069 data_time: 0.0208 memory: 17006 grad_norm: 11.5769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4641 loss: 1.4641 2022/07/30 06:46:35 - mmengine - INFO - Epoch(train) [153][3120/3757] lr: 5.8526e-04 eta: 11:49:27 time: 0.4199 data_time: 0.0235 memory: 17006 grad_norm: 11.5286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/07/30 06:46:43 - mmengine - INFO - Epoch(train) [153][3140/3757] lr: 5.8526e-04 eta: 11:49:19 time: 0.4047 data_time: 0.0192 memory: 17006 grad_norm: 11.5106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3154 loss: 1.3154 2022/07/30 06:46:51 - mmengine - INFO - Epoch(train) [153][3160/3757] lr: 5.8526e-04 eta: 11:49:10 time: 0.4142 data_time: 0.0213 memory: 17006 grad_norm: 11.1342 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2721 loss: 1.2721 2022/07/30 06:47:00 - mmengine - INFO - Epoch(train) [153][3180/3757] lr: 5.8526e-04 eta: 11:49:02 time: 0.4201 data_time: 0.0221 memory: 17006 grad_norm: 10.9931 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9873 loss: 0.9873 2022/07/30 06:47:08 - mmengine - INFO - Epoch(train) [153][3200/3757] lr: 5.8526e-04 eta: 11:48:53 time: 0.4088 data_time: 0.0226 memory: 17006 grad_norm: 11.5457 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2033 loss: 1.2033 2022/07/30 06:47:16 - mmengine - INFO - Epoch(train) [153][3220/3757] lr: 5.8526e-04 eta: 11:48:45 time: 0.4127 data_time: 0.0205 memory: 17006 grad_norm: 12.1445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4090 loss: 1.4090 2022/07/30 06:47:25 - mmengine - INFO - Epoch(train) [153][3240/3757] lr: 5.8526e-04 eta: 11:48:37 time: 0.4289 data_time: 0.0231 memory: 17006 grad_norm: 11.6506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1772 loss: 1.1772 2022/07/30 06:47:33 - mmengine - INFO - Epoch(train) [153][3260/3757] lr: 5.8526e-04 eta: 11:48:28 time: 0.4056 data_time: 0.0203 memory: 17006 grad_norm: 11.7764 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4702 loss: 1.4702 2022/07/30 06:47:41 - mmengine - INFO - Epoch(train) [153][3280/3757] lr: 5.8526e-04 eta: 11:48:20 time: 0.4231 data_time: 0.0224 memory: 17006 grad_norm: 11.8252 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2068 loss: 1.2068 2022/07/30 06:47:49 - mmengine - INFO - Epoch(train) [153][3300/3757] lr: 5.8526e-04 eta: 11:48:12 time: 0.4075 data_time: 0.0204 memory: 17006 grad_norm: 11.3027 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2301 loss: 1.2301 2022/07/30 06:47:58 - mmengine - INFO - Epoch(train) [153][3320/3757] lr: 5.8526e-04 eta: 11:48:03 time: 0.4170 data_time: 0.0223 memory: 17006 grad_norm: 11.4254 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1143 loss: 1.1143 2022/07/30 06:48:06 - mmengine - INFO - Epoch(train) [153][3340/3757] lr: 5.8526e-04 eta: 11:47:55 time: 0.4080 data_time: 0.0212 memory: 17006 grad_norm: 12.0604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5771 loss: 1.5771 2022/07/30 06:48:15 - mmengine - INFO - Epoch(train) [153][3360/3757] lr: 5.8526e-04 eta: 11:47:47 time: 0.4571 data_time: 0.0209 memory: 17006 grad_norm: 11.5446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2064 loss: 1.2064 2022/07/30 06:48:23 - mmengine - INFO - Epoch(train) [153][3380/3757] lr: 5.8526e-04 eta: 11:47:39 time: 0.4045 data_time: 0.0188 memory: 17006 grad_norm: 11.5286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3361 loss: 1.3361 2022/07/30 06:48:32 - mmengine - INFO - Epoch(train) [153][3400/3757] lr: 5.8526e-04 eta: 11:47:30 time: 0.4080 data_time: 0.0221 memory: 17006 grad_norm: 11.7230 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3023 loss: 1.3023 2022/07/30 06:48:40 - mmengine - INFO - Epoch(train) [153][3420/3757] lr: 5.8526e-04 eta: 11:47:22 time: 0.4235 data_time: 0.0202 memory: 17006 grad_norm: 11.2767 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5309 loss: 1.5309 2022/07/30 06:48:48 - mmengine - INFO - Epoch(train) [153][3440/3757] lr: 5.8526e-04 eta: 11:47:13 time: 0.4088 data_time: 0.0228 memory: 17006 grad_norm: 11.5846 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2841 loss: 1.2841 2022/07/30 06:48:57 - mmengine - INFO - Epoch(train) [153][3460/3757] lr: 5.8526e-04 eta: 11:47:05 time: 0.4181 data_time: 0.0233 memory: 17006 grad_norm: 11.7114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4501 loss: 1.4501 2022/07/30 06:49:05 - mmengine - INFO - Epoch(train) [153][3480/3757] lr: 5.8526e-04 eta: 11:46:57 time: 0.4103 data_time: 0.0213 memory: 17006 grad_norm: 11.3382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1278 loss: 1.1278 2022/07/30 06:49:13 - mmengine - INFO - Epoch(train) [153][3500/3757] lr: 5.8526e-04 eta: 11:46:48 time: 0.4072 data_time: 0.0214 memory: 17006 grad_norm: 11.8748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5669 loss: 1.5669 2022/07/30 06:49:21 - mmengine - INFO - Epoch(train) [153][3520/3757] lr: 5.8526e-04 eta: 11:46:40 time: 0.4133 data_time: 0.0231 memory: 17006 grad_norm: 12.2761 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2326 loss: 1.2326 2022/07/30 06:49:29 - mmengine - INFO - Epoch(train) [153][3540/3757] lr: 5.8526e-04 eta: 11:46:31 time: 0.4033 data_time: 0.0181 memory: 17006 grad_norm: 11.6099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3896 loss: 1.3896 2022/07/30 06:49:38 - mmengine - INFO - Epoch(train) [153][3560/3757] lr: 5.8526e-04 eta: 11:46:23 time: 0.4208 data_time: 0.0236 memory: 17006 grad_norm: 10.8734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2592 loss: 1.2592 2022/07/30 06:49:46 - mmengine - INFO - Epoch(train) [153][3580/3757] lr: 5.8526e-04 eta: 11:46:15 time: 0.4114 data_time: 0.0220 memory: 17006 grad_norm: 12.0229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2202 loss: 1.2202 2022/07/30 06:49:54 - mmengine - INFO - Epoch(train) [153][3600/3757] lr: 5.8526e-04 eta: 11:46:06 time: 0.4070 data_time: 0.0214 memory: 17006 grad_norm: 12.2137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4374 loss: 1.4374 2022/07/30 06:50:02 - mmengine - INFO - Epoch(train) [153][3620/3757] lr: 5.8526e-04 eta: 11:45:58 time: 0.4046 data_time: 0.0190 memory: 17006 grad_norm: 11.4333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/07/30 06:50:11 - mmengine - INFO - Epoch(train) [153][3640/3757] lr: 5.8526e-04 eta: 11:45:49 time: 0.4351 data_time: 0.0235 memory: 17006 grad_norm: 11.3265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9355 loss: 0.9355 2022/07/30 06:50:19 - mmengine - INFO - Epoch(train) [153][3660/3757] lr: 5.8526e-04 eta: 11:45:41 time: 0.4069 data_time: 0.0193 memory: 17006 grad_norm: 11.3250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2044 loss: 1.2044 2022/07/30 06:50:28 - mmengine - INFO - Epoch(train) [153][3680/3757] lr: 5.8526e-04 eta: 11:45:33 time: 0.4120 data_time: 0.0229 memory: 17006 grad_norm: 11.7953 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2145 loss: 1.2145 2022/07/30 06:50:36 - mmengine - INFO - Epoch(train) [153][3700/3757] lr: 5.8526e-04 eta: 11:45:24 time: 0.4076 data_time: 0.0212 memory: 17006 grad_norm: 11.8840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/07/30 06:50:44 - mmengine - INFO - Epoch(train) [153][3720/3757] lr: 5.8526e-04 eta: 11:45:16 time: 0.4056 data_time: 0.0211 memory: 17006 grad_norm: 10.8842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2810 loss: 1.2810 2022/07/30 06:50:52 - mmengine - INFO - Epoch(train) [153][3740/3757] lr: 5.8526e-04 eta: 11:45:07 time: 0.4118 data_time: 0.0187 memory: 17006 grad_norm: 11.7366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0758 loss: 1.0758 2022/07/30 06:50:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:50:59 - mmengine - INFO - Epoch(train) [153][3757/3757] lr: 5.8526e-04 eta: 11:45:07 time: 0.4105 data_time: 0.0201 memory: 17006 grad_norm: 11.2084 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2266 loss: 1.2266 2022/07/30 06:50:59 - mmengine - INFO - Saving checkpoint at 153 epochs 2022/07/30 06:51:18 - mmengine - INFO - Epoch(train) [154][20/3757] lr: 5.4497e-04 eta: 11:44:47 time: 0.4824 data_time: 0.0809 memory: 17006 grad_norm: 11.0429 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4184 loss: 1.4184 2022/07/30 06:51:26 - mmengine - INFO - Epoch(train) [154][40/3757] lr: 5.4497e-04 eta: 11:44:39 time: 0.4063 data_time: 0.0214 memory: 17006 grad_norm: 10.7567 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9605 loss: 0.9605 2022/07/30 06:51:35 - mmengine - INFO - Epoch(train) [154][60/3757] lr: 5.4497e-04 eta: 11:44:31 time: 0.4248 data_time: 0.0210 memory: 17006 grad_norm: 11.1616 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0461 loss: 1.0461 2022/07/30 06:51:43 - mmengine - INFO - Epoch(train) [154][80/3757] lr: 5.4497e-04 eta: 11:44:22 time: 0.4055 data_time: 0.0195 memory: 17006 grad_norm: 11.5807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1236 loss: 1.1236 2022/07/30 06:51:51 - mmengine - INFO - Epoch(train) [154][100/3757] lr: 5.4497e-04 eta: 11:44:14 time: 0.4050 data_time: 0.0199 memory: 17006 grad_norm: 10.9585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0472 loss: 1.0472 2022/07/30 06:52:00 - mmengine - INFO - Epoch(train) [154][120/3757] lr: 5.4497e-04 eta: 11:44:05 time: 0.4230 data_time: 0.0222 memory: 17006 grad_norm: 11.2600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3233 loss: 1.3233 2022/07/30 06:52:08 - mmengine - INFO - Epoch(train) [154][140/3757] lr: 5.4497e-04 eta: 11:43:57 time: 0.4140 data_time: 0.0229 memory: 17006 grad_norm: 11.1653 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1639 loss: 1.1639 2022/07/30 06:52:16 - mmengine - INFO - Epoch(train) [154][160/3757] lr: 5.4497e-04 eta: 11:43:49 time: 0.4111 data_time: 0.0203 memory: 17006 grad_norm: 11.2852 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/07/30 06:52:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:52:24 - mmengine - INFO - Epoch(train) [154][180/3757] lr: 5.4497e-04 eta: 11:43:40 time: 0.4120 data_time: 0.0209 memory: 17006 grad_norm: 10.3721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0632 loss: 1.0632 2022/07/30 06:52:33 - mmengine - INFO - Epoch(train) [154][200/3757] lr: 5.4497e-04 eta: 11:43:32 time: 0.4087 data_time: 0.0192 memory: 17006 grad_norm: 11.8853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3277 loss: 1.3277 2022/07/30 06:52:41 - mmengine - INFO - Epoch(train) [154][220/3757] lr: 5.4497e-04 eta: 11:43:23 time: 0.4057 data_time: 0.0217 memory: 17006 grad_norm: 11.5063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4554 loss: 1.4554 2022/07/30 06:52:49 - mmengine - INFO - Epoch(train) [154][240/3757] lr: 5.4497e-04 eta: 11:43:15 time: 0.4258 data_time: 0.0235 memory: 17006 grad_norm: 11.4428 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/07/30 06:52:57 - mmengine - INFO - Epoch(train) [154][260/3757] lr: 5.4497e-04 eta: 11:43:07 time: 0.4059 data_time: 0.0210 memory: 17006 grad_norm: 10.6978 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3709 loss: 1.3709 2022/07/30 06:53:06 - mmengine - INFO - Epoch(train) [154][280/3757] lr: 5.4497e-04 eta: 11:42:58 time: 0.4276 data_time: 0.0240 memory: 17006 grad_norm: 12.0090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5042 loss: 1.5042 2022/07/30 06:53:14 - mmengine - INFO - Epoch(train) [154][300/3757] lr: 5.4497e-04 eta: 11:42:50 time: 0.4059 data_time: 0.0212 memory: 17006 grad_norm: 10.6923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2257 loss: 1.2257 2022/07/30 06:53:22 - mmengine - INFO - Epoch(train) [154][320/3757] lr: 5.4497e-04 eta: 11:42:41 time: 0.4052 data_time: 0.0201 memory: 17006 grad_norm: 10.4456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1754 loss: 1.1754 2022/07/30 06:53:31 - mmengine - INFO - Epoch(train) [154][340/3757] lr: 5.4497e-04 eta: 11:42:33 time: 0.4251 data_time: 0.0224 memory: 17006 grad_norm: 11.3304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1560 loss: 1.1560 2022/07/30 06:53:39 - mmengine - INFO - Epoch(train) [154][360/3757] lr: 5.4497e-04 eta: 11:42:25 time: 0.4057 data_time: 0.0206 memory: 17006 grad_norm: 10.9377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0844 loss: 1.0844 2022/07/30 06:53:47 - mmengine - INFO - Epoch(train) [154][380/3757] lr: 5.4497e-04 eta: 11:42:16 time: 0.4148 data_time: 0.0221 memory: 17006 grad_norm: 10.9436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0714 loss: 1.0714 2022/07/30 06:53:55 - mmengine - INFO - Epoch(train) [154][400/3757] lr: 5.4497e-04 eta: 11:42:08 time: 0.4064 data_time: 0.0215 memory: 17006 grad_norm: 11.7338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2222 loss: 1.2222 2022/07/30 06:54:04 - mmengine - INFO - Epoch(train) [154][420/3757] lr: 5.4497e-04 eta: 11:41:59 time: 0.4057 data_time: 0.0210 memory: 17006 grad_norm: 11.8884 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4816 loss: 1.4816 2022/07/30 06:54:12 - mmengine - INFO - Epoch(train) [154][440/3757] lr: 5.4497e-04 eta: 11:41:51 time: 0.4320 data_time: 0.0210 memory: 17006 grad_norm: 11.4167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9168 loss: 0.9168 2022/07/30 06:54:21 - mmengine - INFO - Epoch(train) [154][460/3757] lr: 5.4497e-04 eta: 11:41:43 time: 0.4102 data_time: 0.0219 memory: 17006 grad_norm: 11.5146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0620 loss: 1.0620 2022/07/30 06:54:29 - mmengine - INFO - Epoch(train) [154][480/3757] lr: 5.4497e-04 eta: 11:41:34 time: 0.4130 data_time: 0.0225 memory: 17006 grad_norm: 11.4859 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2767 loss: 1.2767 2022/07/30 06:54:37 - mmengine - INFO - Epoch(train) [154][500/3757] lr: 5.4497e-04 eta: 11:41:26 time: 0.4133 data_time: 0.0214 memory: 17006 grad_norm: 11.3448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4604 loss: 1.4604 2022/07/30 06:54:46 - mmengine - INFO - Epoch(train) [154][520/3757] lr: 5.4497e-04 eta: 11:41:18 time: 0.4417 data_time: 0.0254 memory: 17006 grad_norm: 11.7090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1941 loss: 1.1941 2022/07/30 06:54:54 - mmengine - INFO - Epoch(train) [154][540/3757] lr: 5.4497e-04 eta: 11:41:09 time: 0.4052 data_time: 0.0199 memory: 17006 grad_norm: 11.7299 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0573 loss: 1.0573 2022/07/30 06:55:02 - mmengine - INFO - Epoch(train) [154][560/3757] lr: 5.4497e-04 eta: 11:41:01 time: 0.4110 data_time: 0.0209 memory: 17006 grad_norm: 11.4184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0737 loss: 1.0737 2022/07/30 06:55:11 - mmengine - INFO - Epoch(train) [154][580/3757] lr: 5.4497e-04 eta: 11:40:53 time: 0.4120 data_time: 0.0218 memory: 17006 grad_norm: 11.9288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4331 loss: 1.4331 2022/07/30 06:55:19 - mmengine - INFO - Epoch(train) [154][600/3757] lr: 5.4497e-04 eta: 11:40:44 time: 0.4094 data_time: 0.0215 memory: 17006 grad_norm: 11.6963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2251 loss: 1.2251 2022/07/30 06:55:27 - mmengine - INFO - Epoch(train) [154][620/3757] lr: 5.4497e-04 eta: 11:40:36 time: 0.4110 data_time: 0.0231 memory: 17006 grad_norm: 11.7747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1887 loss: 1.1887 2022/07/30 06:55:35 - mmengine - INFO - Epoch(train) [154][640/3757] lr: 5.4497e-04 eta: 11:40:27 time: 0.4162 data_time: 0.0214 memory: 17006 grad_norm: 11.2623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1088 loss: 1.1088 2022/07/30 06:55:44 - mmengine - INFO - Epoch(train) [154][660/3757] lr: 5.4497e-04 eta: 11:40:19 time: 0.4059 data_time: 0.0220 memory: 17006 grad_norm: 11.2946 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/07/30 06:55:52 - mmengine - INFO - Epoch(train) [154][680/3757] lr: 5.4497e-04 eta: 11:40:11 time: 0.4184 data_time: 0.0216 memory: 17006 grad_norm: 11.0692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3758 loss: 1.3758 2022/07/30 06:56:01 - mmengine - INFO - Epoch(train) [154][700/3757] lr: 5.4497e-04 eta: 11:40:02 time: 0.4242 data_time: 0.0213 memory: 17006 grad_norm: 11.1596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3058 loss: 1.3058 2022/07/30 06:56:09 - mmengine - INFO - Epoch(train) [154][720/3757] lr: 5.4497e-04 eta: 11:39:54 time: 0.4128 data_time: 0.0221 memory: 17006 grad_norm: 11.4041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0711 loss: 1.0711 2022/07/30 06:56:17 - mmengine - INFO - Epoch(train) [154][740/3757] lr: 5.4497e-04 eta: 11:39:46 time: 0.4179 data_time: 0.0211 memory: 17006 grad_norm: 10.9512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3797 loss: 1.3797 2022/07/30 06:56:26 - mmengine - INFO - Epoch(train) [154][760/3757] lr: 5.4497e-04 eta: 11:39:37 time: 0.4153 data_time: 0.0217 memory: 17006 grad_norm: 11.3685 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5717 loss: 1.5717 2022/07/30 06:56:34 - mmengine - INFO - Epoch(train) [154][780/3757] lr: 5.4497e-04 eta: 11:39:29 time: 0.4071 data_time: 0.0217 memory: 17006 grad_norm: 11.0724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0949 loss: 1.0949 2022/07/30 06:56:42 - mmengine - INFO - Epoch(train) [154][800/3757] lr: 5.4497e-04 eta: 11:39:20 time: 0.4189 data_time: 0.0217 memory: 17006 grad_norm: 11.4274 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2360 loss: 1.2360 2022/07/30 06:56:50 - mmengine - INFO - Epoch(train) [154][820/3757] lr: 5.4497e-04 eta: 11:39:12 time: 0.4149 data_time: 0.0209 memory: 17006 grad_norm: 11.4096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1947 loss: 1.1947 2022/07/30 06:56:59 - mmengine - INFO - Epoch(train) [154][840/3757] lr: 5.4497e-04 eta: 11:39:04 time: 0.4229 data_time: 0.0228 memory: 17006 grad_norm: 11.2719 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1919 loss: 1.1919 2022/07/30 06:57:07 - mmengine - INFO - Epoch(train) [154][860/3757] lr: 5.4497e-04 eta: 11:38:55 time: 0.4095 data_time: 0.0214 memory: 17006 grad_norm: 11.3343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0026 loss: 1.0026 2022/07/30 06:57:16 - mmengine - INFO - Epoch(train) [154][880/3757] lr: 5.4497e-04 eta: 11:38:47 time: 0.4381 data_time: 0.0222 memory: 17006 grad_norm: 11.1990 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4407 loss: 1.4407 2022/07/30 06:57:24 - mmengine - INFO - Epoch(train) [154][900/3757] lr: 5.4497e-04 eta: 11:38:39 time: 0.4067 data_time: 0.0218 memory: 17006 grad_norm: 11.3309 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9016 loss: 0.9016 2022/07/30 06:57:32 - mmengine - INFO - Epoch(train) [154][920/3757] lr: 5.4497e-04 eta: 11:38:30 time: 0.4113 data_time: 0.0211 memory: 17006 grad_norm: 11.1915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3009 loss: 1.3009 2022/07/30 06:57:41 - mmengine - INFO - Epoch(train) [154][940/3757] lr: 5.4497e-04 eta: 11:38:22 time: 0.4219 data_time: 0.0237 memory: 17006 grad_norm: 11.0349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0243 loss: 1.0243 2022/07/30 06:57:49 - mmengine - INFO - Epoch(train) [154][960/3757] lr: 5.4497e-04 eta: 11:38:14 time: 0.4112 data_time: 0.0212 memory: 17006 grad_norm: 11.0629 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2487 loss: 1.2487 2022/07/30 06:57:57 - mmengine - INFO - Epoch(train) [154][980/3757] lr: 5.4497e-04 eta: 11:38:05 time: 0.4116 data_time: 0.0222 memory: 17006 grad_norm: 11.5584 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2674 loss: 1.2674 2022/07/30 06:58:06 - mmengine - INFO - Epoch(train) [154][1000/3757] lr: 5.4497e-04 eta: 11:37:57 time: 0.4210 data_time: 0.0233 memory: 17006 grad_norm: 11.7703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3743 loss: 1.3743 2022/07/30 06:58:14 - mmengine - INFO - Epoch(train) [154][1020/3757] lr: 5.4497e-04 eta: 11:37:49 time: 0.4047 data_time: 0.0206 memory: 17006 grad_norm: 11.4386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2372 loss: 1.2372 2022/07/30 06:58:22 - mmengine - INFO - Epoch(train) [154][1040/3757] lr: 5.4497e-04 eta: 11:37:40 time: 0.4200 data_time: 0.0204 memory: 17006 grad_norm: 11.4975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0810 loss: 1.0810 2022/07/30 06:58:31 - mmengine - INFO - Epoch(train) [154][1060/3757] lr: 5.4497e-04 eta: 11:37:32 time: 0.4173 data_time: 0.0220 memory: 17006 grad_norm: 11.3741 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2293 loss: 1.2293 2022/07/30 06:58:39 - mmengine - INFO - Epoch(train) [154][1080/3757] lr: 5.4497e-04 eta: 11:37:23 time: 0.4061 data_time: 0.0198 memory: 17006 grad_norm: 11.4658 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1843 loss: 1.1843 2022/07/30 06:58:47 - mmengine - INFO - Epoch(train) [154][1100/3757] lr: 5.4497e-04 eta: 11:37:15 time: 0.4280 data_time: 0.0239 memory: 17006 grad_norm: 11.6506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5194 loss: 1.5194 2022/07/30 06:58:56 - mmengine - INFO - Epoch(train) [154][1120/3757] lr: 5.4497e-04 eta: 11:37:07 time: 0.4225 data_time: 0.0203 memory: 17006 grad_norm: 12.0429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/07/30 06:59:04 - mmengine - INFO - Epoch(train) [154][1140/3757] lr: 5.4497e-04 eta: 11:36:59 time: 0.4049 data_time: 0.0215 memory: 17006 grad_norm: 11.4350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3565 loss: 1.3565 2022/07/30 06:59:13 - mmengine - INFO - Epoch(train) [154][1160/3757] lr: 5.4497e-04 eta: 11:36:50 time: 0.4255 data_time: 0.0235 memory: 17006 grad_norm: 11.4701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/07/30 06:59:20 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 06:59:21 - mmengine - INFO - Epoch(train) [154][1180/3757] lr: 5.4497e-04 eta: 11:36:42 time: 0.4073 data_time: 0.0219 memory: 17006 grad_norm: 11.6751 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5074 loss: 1.5074 2022/07/30 06:59:29 - mmengine - INFO - Epoch(train) [154][1200/3757] lr: 5.4497e-04 eta: 11:36:33 time: 0.4171 data_time: 0.0221 memory: 17006 grad_norm: 11.9131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4075 loss: 1.4075 2022/07/30 06:59:37 - mmengine - INFO - Epoch(train) [154][1220/3757] lr: 5.4497e-04 eta: 11:36:25 time: 0.4055 data_time: 0.0199 memory: 17006 grad_norm: 11.2973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1435 loss: 1.1435 2022/07/30 06:59:46 - mmengine - INFO - Epoch(train) [154][1240/3757] lr: 5.4497e-04 eta: 11:36:17 time: 0.4293 data_time: 0.0211 memory: 17006 grad_norm: 11.2747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/07/30 06:59:54 - mmengine - INFO - Epoch(train) [154][1260/3757] lr: 5.4497e-04 eta: 11:36:08 time: 0.4049 data_time: 0.0204 memory: 17006 grad_norm: 11.3743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4813 loss: 1.4813 2022/07/30 07:00:02 - mmengine - INFO - Epoch(train) [154][1280/3757] lr: 5.4497e-04 eta: 11:36:00 time: 0.4080 data_time: 0.0205 memory: 17006 grad_norm: 11.2183 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4534 loss: 1.4534 2022/07/30 07:00:11 - mmengine - INFO - Epoch(train) [154][1300/3757] lr: 5.4497e-04 eta: 11:35:52 time: 0.4216 data_time: 0.0229 memory: 17006 grad_norm: 11.5447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4960 loss: 1.4960 2022/07/30 07:00:19 - mmengine - INFO - Epoch(train) [154][1320/3757] lr: 5.4497e-04 eta: 11:35:43 time: 0.4057 data_time: 0.0203 memory: 17006 grad_norm: 11.8403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2110 loss: 1.2110 2022/07/30 07:00:27 - mmengine - INFO - Epoch(train) [154][1340/3757] lr: 5.4497e-04 eta: 11:35:35 time: 0.4238 data_time: 0.0242 memory: 17006 grad_norm: 11.4903 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6360 loss: 1.6360 2022/07/30 07:00:35 - mmengine - INFO - Epoch(train) [154][1360/3757] lr: 5.4497e-04 eta: 11:35:26 time: 0.4059 data_time: 0.0210 memory: 17006 grad_norm: 11.8922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4863 loss: 1.4863 2022/07/30 07:00:44 - mmengine - INFO - Epoch(train) [154][1380/3757] lr: 5.4497e-04 eta: 11:35:18 time: 0.4071 data_time: 0.0219 memory: 17006 grad_norm: 11.4160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1014 loss: 1.1014 2022/07/30 07:00:52 - mmengine - INFO - Epoch(train) [154][1400/3757] lr: 5.4497e-04 eta: 11:35:10 time: 0.4289 data_time: 0.0213 memory: 17006 grad_norm: 11.0402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1572 loss: 1.1572 2022/07/30 07:01:00 - mmengine - INFO - Epoch(train) [154][1420/3757] lr: 5.4497e-04 eta: 11:35:01 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 11.7602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4057 loss: 1.4057 2022/07/30 07:01:09 - mmengine - INFO - Epoch(train) [154][1440/3757] lr: 5.4497e-04 eta: 11:34:53 time: 0.4282 data_time: 0.0220 memory: 17006 grad_norm: 11.5890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0824 loss: 1.0824 2022/07/30 07:01:17 - mmengine - INFO - Epoch(train) [154][1460/3757] lr: 5.4497e-04 eta: 11:34:45 time: 0.4051 data_time: 0.0209 memory: 17006 grad_norm: 11.2057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2549 loss: 1.2549 2022/07/30 07:01:25 - mmengine - INFO - Epoch(train) [154][1480/3757] lr: 5.4497e-04 eta: 11:34:36 time: 0.4088 data_time: 0.0204 memory: 17006 grad_norm: 11.3350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5333 loss: 1.5333 2022/07/30 07:01:34 - mmengine - INFO - Epoch(train) [154][1500/3757] lr: 5.4497e-04 eta: 11:34:28 time: 0.4125 data_time: 0.0205 memory: 17006 grad_norm: 11.5056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3402 loss: 1.3402 2022/07/30 07:01:42 - mmengine - INFO - Epoch(train) [154][1520/3757] lr: 5.4497e-04 eta: 11:34:19 time: 0.4046 data_time: 0.0201 memory: 17006 grad_norm: 11.5620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2549 loss: 1.2549 2022/07/30 07:01:50 - mmengine - INFO - Epoch(train) [154][1540/3757] lr: 5.4497e-04 eta: 11:34:11 time: 0.4147 data_time: 0.0213 memory: 17006 grad_norm: 12.0176 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3555 loss: 1.3555 2022/07/30 07:01:58 - mmengine - INFO - Epoch(train) [154][1560/3757] lr: 5.4497e-04 eta: 11:34:02 time: 0.4071 data_time: 0.0214 memory: 17006 grad_norm: 11.2123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3019 loss: 1.3019 2022/07/30 07:02:06 - mmengine - INFO - Epoch(train) [154][1580/3757] lr: 5.4497e-04 eta: 11:33:54 time: 0.4107 data_time: 0.0217 memory: 17006 grad_norm: 11.9051 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3900 loss: 1.3900 2022/07/30 07:02:15 - mmengine - INFO - Epoch(train) [154][1600/3757] lr: 5.4497e-04 eta: 11:33:45 time: 0.4050 data_time: 0.0205 memory: 17006 grad_norm: 11.1516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3392 loss: 1.3392 2022/07/30 07:02:23 - mmengine - INFO - Epoch(train) [154][1620/3757] lr: 5.4497e-04 eta: 11:33:37 time: 0.4050 data_time: 0.0205 memory: 17006 grad_norm: 11.2337 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3129 loss: 1.3129 2022/07/30 07:02:31 - mmengine - INFO - Epoch(train) [154][1640/3757] lr: 5.4497e-04 eta: 11:33:29 time: 0.4261 data_time: 0.0225 memory: 17006 grad_norm: 11.6620 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1593 loss: 1.1593 2022/07/30 07:02:39 - mmengine - INFO - Epoch(train) [154][1660/3757] lr: 5.4497e-04 eta: 11:33:20 time: 0.4060 data_time: 0.0214 memory: 17006 grad_norm: 11.6936 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2613 loss: 1.2613 2022/07/30 07:02:48 - mmengine - INFO - Epoch(train) [154][1680/3757] lr: 5.4497e-04 eta: 11:33:12 time: 0.4066 data_time: 0.0216 memory: 17006 grad_norm: 11.4971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2253 loss: 1.2253 2022/07/30 07:02:56 - mmengine - INFO - Epoch(train) [154][1700/3757] lr: 5.4497e-04 eta: 11:33:03 time: 0.4056 data_time: 0.0212 memory: 17006 grad_norm: 11.2679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2819 loss: 1.2819 2022/07/30 07:03:04 - mmengine - INFO - Epoch(train) [154][1720/3757] lr: 5.4497e-04 eta: 11:32:55 time: 0.4053 data_time: 0.0203 memory: 17006 grad_norm: 11.1564 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1815 loss: 1.1815 2022/07/30 07:03:12 - mmengine - INFO - Epoch(train) [154][1740/3757] lr: 5.4497e-04 eta: 11:32:46 time: 0.4271 data_time: 0.0228 memory: 17006 grad_norm: 11.4941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2010 loss: 1.2010 2022/07/30 07:03:21 - mmengine - INFO - Epoch(train) [154][1760/3757] lr: 5.4497e-04 eta: 11:32:38 time: 0.4073 data_time: 0.0216 memory: 17006 grad_norm: 11.7945 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0357 loss: 1.0357 2022/07/30 07:03:29 - mmengine - INFO - Epoch(train) [154][1780/3757] lr: 5.4497e-04 eta: 11:32:30 time: 0.4194 data_time: 0.0225 memory: 17006 grad_norm: 10.7739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4296 loss: 1.4296 2022/07/30 07:03:37 - mmengine - INFO - Epoch(train) [154][1800/3757] lr: 5.4497e-04 eta: 11:32:21 time: 0.4105 data_time: 0.0226 memory: 17006 grad_norm: 11.2905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2178 loss: 1.2178 2022/07/30 07:03:45 - mmengine - INFO - Epoch(train) [154][1820/3757] lr: 5.4497e-04 eta: 11:32:13 time: 0.4048 data_time: 0.0206 memory: 17006 grad_norm: 11.2586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2779 loss: 1.2779 2022/07/30 07:03:53 - mmengine - INFO - Epoch(train) [154][1840/3757] lr: 5.4497e-04 eta: 11:32:04 time: 0.4061 data_time: 0.0205 memory: 17006 grad_norm: 11.0693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3265 loss: 1.3265 2022/07/30 07:04:03 - mmengine - INFO - Epoch(train) [154][1860/3757] lr: 5.4497e-04 eta: 11:31:56 time: 0.4544 data_time: 0.0234 memory: 17006 grad_norm: 11.2043 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1399 loss: 1.1399 2022/07/30 07:04:11 - mmengine - INFO - Epoch(train) [154][1880/3757] lr: 5.4497e-04 eta: 11:31:48 time: 0.4054 data_time: 0.0202 memory: 17006 grad_norm: 11.1170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8590 loss: 0.8590 2022/07/30 07:04:19 - mmengine - INFO - Epoch(train) [154][1900/3757] lr: 5.4497e-04 eta: 11:31:40 time: 0.4250 data_time: 0.0245 memory: 17006 grad_norm: 11.7855 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5660 loss: 1.5660 2022/07/30 07:04:27 - mmengine - INFO - Epoch(train) [154][1920/3757] lr: 5.4497e-04 eta: 11:31:31 time: 0.4055 data_time: 0.0201 memory: 17006 grad_norm: 10.7063 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2722 loss: 1.2722 2022/07/30 07:04:36 - mmengine - INFO - Epoch(train) [154][1940/3757] lr: 5.4497e-04 eta: 11:31:23 time: 0.4108 data_time: 0.0235 memory: 17006 grad_norm: 11.0334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0741 loss: 1.0741 2022/07/30 07:04:44 - mmengine - INFO - Epoch(train) [154][1960/3757] lr: 5.4497e-04 eta: 11:31:14 time: 0.4079 data_time: 0.0212 memory: 17006 grad_norm: 11.6674 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/07/30 07:04:52 - mmengine - INFO - Epoch(train) [154][1980/3757] lr: 5.4497e-04 eta: 11:31:06 time: 0.4314 data_time: 0.0254 memory: 17006 grad_norm: 10.8756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0154 loss: 1.0154 2022/07/30 07:05:01 - mmengine - INFO - Epoch(train) [154][2000/3757] lr: 5.4497e-04 eta: 11:30:58 time: 0.4116 data_time: 0.0220 memory: 17006 grad_norm: 10.8386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2864 loss: 1.2864 2022/07/30 07:05:09 - mmengine - INFO - Epoch(train) [154][2020/3757] lr: 5.4497e-04 eta: 11:30:49 time: 0.4088 data_time: 0.0223 memory: 17006 grad_norm: 11.6930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9099 loss: 0.9099 2022/07/30 07:05:18 - mmengine - INFO - Epoch(train) [154][2040/3757] lr: 5.4497e-04 eta: 11:30:41 time: 0.4403 data_time: 0.0212 memory: 17006 grad_norm: 12.0492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/07/30 07:05:26 - mmengine - INFO - Epoch(train) [154][2060/3757] lr: 5.4497e-04 eta: 11:30:33 time: 0.4089 data_time: 0.0233 memory: 17006 grad_norm: 12.1712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4290 loss: 1.4290 2022/07/30 07:05:34 - mmengine - INFO - Epoch(train) [154][2080/3757] lr: 5.4497e-04 eta: 11:30:24 time: 0.4073 data_time: 0.0225 memory: 17006 grad_norm: 11.6959 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9691 loss: 0.9691 2022/07/30 07:05:42 - mmengine - INFO - Epoch(train) [154][2100/3757] lr: 5.4497e-04 eta: 11:30:16 time: 0.4113 data_time: 0.0200 memory: 17006 grad_norm: 11.5443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3268 loss: 1.3268 2022/07/30 07:05:51 - mmengine - INFO - Epoch(train) [154][2120/3757] lr: 5.4497e-04 eta: 11:30:08 time: 0.4098 data_time: 0.0226 memory: 17006 grad_norm: 11.7528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4391 loss: 1.4391 2022/07/30 07:05:59 - mmengine - INFO - Epoch(train) [154][2140/3757] lr: 5.4497e-04 eta: 11:29:59 time: 0.4136 data_time: 0.0214 memory: 17006 grad_norm: 11.1413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0140 loss: 1.0140 2022/07/30 07:06:07 - mmengine - INFO - Epoch(train) [154][2160/3757] lr: 5.4497e-04 eta: 11:29:51 time: 0.4135 data_time: 0.0230 memory: 17006 grad_norm: 11.5243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2821 loss: 1.2821 2022/07/30 07:06:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:06:15 - mmengine - INFO - Epoch(train) [154][2180/3757] lr: 5.4497e-04 eta: 11:29:42 time: 0.4056 data_time: 0.0208 memory: 17006 grad_norm: 11.2783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2287 loss: 1.2287 2022/07/30 07:06:24 - mmengine - INFO - Epoch(train) [154][2200/3757] lr: 5.4497e-04 eta: 11:29:34 time: 0.4060 data_time: 0.0214 memory: 17006 grad_norm: 11.2522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0643 loss: 1.0643 2022/07/30 07:06:32 - mmengine - INFO - Epoch(train) [154][2220/3757] lr: 5.4497e-04 eta: 11:29:25 time: 0.4084 data_time: 0.0223 memory: 17006 grad_norm: 11.2244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1125 loss: 1.1125 2022/07/30 07:06:40 - mmengine - INFO - Epoch(train) [154][2240/3757] lr: 5.4497e-04 eta: 11:29:17 time: 0.4325 data_time: 0.0205 memory: 17006 grad_norm: 11.6122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4380 loss: 1.4380 2022/07/30 07:06:49 - mmengine - INFO - Epoch(train) [154][2260/3757] lr: 5.4497e-04 eta: 11:29:09 time: 0.4101 data_time: 0.0233 memory: 17006 grad_norm: 11.3718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2041 loss: 1.2041 2022/07/30 07:06:57 - mmengine - INFO - Epoch(train) [154][2280/3757] lr: 5.4497e-04 eta: 11:29:00 time: 0.4099 data_time: 0.0214 memory: 17006 grad_norm: 11.6220 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1769 loss: 1.1769 2022/07/30 07:07:05 - mmengine - INFO - Epoch(train) [154][2300/3757] lr: 5.4497e-04 eta: 11:28:52 time: 0.4048 data_time: 0.0198 memory: 17006 grad_norm: 11.4272 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4129 loss: 1.4129 2022/07/30 07:07:13 - mmengine - INFO - Epoch(train) [154][2320/3757] lr: 5.4497e-04 eta: 11:28:43 time: 0.4083 data_time: 0.0208 memory: 17006 grad_norm: 11.5484 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3378 loss: 1.3378 2022/07/30 07:07:21 - mmengine - INFO - Epoch(train) [154][2340/3757] lr: 5.4497e-04 eta: 11:28:35 time: 0.4084 data_time: 0.0210 memory: 17006 grad_norm: 11.4034 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1704 loss: 1.1704 2022/07/30 07:07:30 - mmengine - INFO - Epoch(train) [154][2360/3757] lr: 5.4497e-04 eta: 11:28:26 time: 0.4072 data_time: 0.0226 memory: 17006 grad_norm: 11.3126 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1981 loss: 1.1981 2022/07/30 07:07:38 - mmengine - INFO - Epoch(train) [154][2380/3757] lr: 5.4497e-04 eta: 11:28:18 time: 0.4089 data_time: 0.0206 memory: 17006 grad_norm: 11.7307 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2692 loss: 1.2692 2022/07/30 07:07:46 - mmengine - INFO - Epoch(train) [154][2400/3757] lr: 5.4497e-04 eta: 11:28:09 time: 0.4068 data_time: 0.0206 memory: 17006 grad_norm: 11.6160 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2950 loss: 1.2950 2022/07/30 07:07:54 - mmengine - INFO - Epoch(train) [154][2420/3757] lr: 5.4497e-04 eta: 11:28:01 time: 0.4059 data_time: 0.0201 memory: 17006 grad_norm: 11.7846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4358 loss: 1.4358 2022/07/30 07:08:02 - mmengine - INFO - Epoch(train) [154][2440/3757] lr: 5.4497e-04 eta: 11:27:53 time: 0.4161 data_time: 0.0217 memory: 17006 grad_norm: 11.5664 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4186 loss: 1.4186 2022/07/30 07:08:11 - mmengine - INFO - Epoch(train) [154][2460/3757] lr: 5.4497e-04 eta: 11:27:44 time: 0.4071 data_time: 0.0223 memory: 17006 grad_norm: 11.5270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3651 loss: 1.3651 2022/07/30 07:08:19 - mmengine - INFO - Epoch(train) [154][2480/3757] lr: 5.4497e-04 eta: 11:27:36 time: 0.4103 data_time: 0.0219 memory: 17006 grad_norm: 11.6062 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3680 loss: 1.3680 2022/07/30 07:08:27 - mmengine - INFO - Epoch(train) [154][2500/3757] lr: 5.4497e-04 eta: 11:27:27 time: 0.4158 data_time: 0.0221 memory: 17006 grad_norm: 11.5843 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/07/30 07:08:35 - mmengine - INFO - Epoch(train) [154][2520/3757] lr: 5.4497e-04 eta: 11:27:19 time: 0.4067 data_time: 0.0231 memory: 17006 grad_norm: 11.6312 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2664 loss: 1.2664 2022/07/30 07:08:44 - mmengine - INFO - Epoch(train) [154][2540/3757] lr: 5.4497e-04 eta: 11:27:11 time: 0.4156 data_time: 0.0215 memory: 17006 grad_norm: 11.9206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1730 loss: 1.1730 2022/07/30 07:08:52 - mmengine - INFO - Epoch(train) [154][2560/3757] lr: 5.4497e-04 eta: 11:27:02 time: 0.4263 data_time: 0.0215 memory: 17006 grad_norm: 11.9001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2679 loss: 1.2679 2022/07/30 07:09:01 - mmengine - INFO - Epoch(train) [154][2580/3757] lr: 5.4497e-04 eta: 11:26:54 time: 0.4156 data_time: 0.0210 memory: 17006 grad_norm: 11.5253 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1052 loss: 1.1052 2022/07/30 07:09:09 - mmengine - INFO - Epoch(train) [154][2600/3757] lr: 5.4497e-04 eta: 11:26:46 time: 0.4114 data_time: 0.0233 memory: 17006 grad_norm: 11.3774 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2790 loss: 1.2790 2022/07/30 07:09:17 - mmengine - INFO - Epoch(train) [154][2620/3757] lr: 5.4497e-04 eta: 11:26:37 time: 0.4188 data_time: 0.0206 memory: 17006 grad_norm: 11.5593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3348 loss: 1.3348 2022/07/30 07:09:25 - mmengine - INFO - Epoch(train) [154][2640/3757] lr: 5.4497e-04 eta: 11:26:29 time: 0.4066 data_time: 0.0210 memory: 17006 grad_norm: 11.2756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2240 loss: 1.2240 2022/07/30 07:09:34 - mmengine - INFO - Epoch(train) [154][2660/3757] lr: 5.4497e-04 eta: 11:26:20 time: 0.4105 data_time: 0.0212 memory: 17006 grad_norm: 11.0572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3623 loss: 1.3623 2022/07/30 07:09:42 - mmengine - INFO - Epoch(train) [154][2680/3757] lr: 5.4497e-04 eta: 11:26:12 time: 0.4117 data_time: 0.0208 memory: 17006 grad_norm: 11.6177 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2058 loss: 1.2058 2022/07/30 07:09:51 - mmengine - INFO - Epoch(train) [154][2700/3757] lr: 5.4497e-04 eta: 11:26:04 time: 0.4352 data_time: 0.0225 memory: 17006 grad_norm: 11.5502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0872 loss: 1.0872 2022/07/30 07:09:59 - mmengine - INFO - Epoch(train) [154][2720/3757] lr: 5.4497e-04 eta: 11:25:56 time: 0.4161 data_time: 0.0220 memory: 17006 grad_norm: 11.2304 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1141 loss: 1.1141 2022/07/30 07:10:08 - mmengine - INFO - Epoch(train) [154][2740/3757] lr: 5.4497e-04 eta: 11:25:47 time: 0.4376 data_time: 0.0217 memory: 17006 grad_norm: 11.7728 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2108 loss: 1.2108 2022/07/30 07:10:16 - mmengine - INFO - Epoch(train) [154][2760/3757] lr: 5.4497e-04 eta: 11:25:39 time: 0.4052 data_time: 0.0203 memory: 17006 grad_norm: 11.6678 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3577 loss: 1.3577 2022/07/30 07:10:24 - mmengine - INFO - Epoch(train) [154][2780/3757] lr: 5.4497e-04 eta: 11:25:31 time: 0.4178 data_time: 0.0229 memory: 17006 grad_norm: 11.0123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2454 loss: 1.2454 2022/07/30 07:10:32 - mmengine - INFO - Epoch(train) [154][2800/3757] lr: 5.4497e-04 eta: 11:25:22 time: 0.4066 data_time: 0.0205 memory: 17006 grad_norm: 11.4688 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8981 loss: 0.8981 2022/07/30 07:10:41 - mmengine - INFO - Epoch(train) [154][2820/3757] lr: 5.4497e-04 eta: 11:25:14 time: 0.4130 data_time: 0.0202 memory: 17006 grad_norm: 11.3681 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1777 loss: 1.1777 2022/07/30 07:10:49 - mmengine - INFO - Epoch(train) [154][2840/3757] lr: 5.4497e-04 eta: 11:25:05 time: 0.4121 data_time: 0.0226 memory: 17006 grad_norm: 11.1712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/07/30 07:10:57 - mmengine - INFO - Epoch(train) [154][2860/3757] lr: 5.4497e-04 eta: 11:24:57 time: 0.4141 data_time: 0.0225 memory: 17006 grad_norm: 11.7670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1842 loss: 1.1842 2022/07/30 07:11:05 - mmengine - INFO - Epoch(train) [154][2880/3757] lr: 5.4497e-04 eta: 11:24:48 time: 0.4063 data_time: 0.0207 memory: 17006 grad_norm: 11.0053 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1258 loss: 1.1258 2022/07/30 07:11:14 - mmengine - INFO - Epoch(train) [154][2900/3757] lr: 5.4497e-04 eta: 11:24:40 time: 0.4092 data_time: 0.0223 memory: 17006 grad_norm: 11.0421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2371 loss: 1.2371 2022/07/30 07:11:22 - mmengine - INFO - Epoch(train) [154][2920/3757] lr: 5.4497e-04 eta: 11:24:32 time: 0.4104 data_time: 0.0211 memory: 17006 grad_norm: 12.0351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4834 loss: 1.4834 2022/07/30 07:11:30 - mmengine - INFO - Epoch(train) [154][2940/3757] lr: 5.4497e-04 eta: 11:24:23 time: 0.4119 data_time: 0.0219 memory: 17006 grad_norm: 11.1947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/07/30 07:11:38 - mmengine - INFO - Epoch(train) [154][2960/3757] lr: 5.4497e-04 eta: 11:24:15 time: 0.4084 data_time: 0.0225 memory: 17006 grad_norm: 11.4353 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0411 loss: 1.0411 2022/07/30 07:11:47 - mmengine - INFO - Epoch(train) [154][2980/3757] lr: 5.4497e-04 eta: 11:24:06 time: 0.4112 data_time: 0.0207 memory: 17006 grad_norm: 11.8764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2747 loss: 1.2747 2022/07/30 07:11:55 - mmengine - INFO - Epoch(train) [154][3000/3757] lr: 5.4497e-04 eta: 11:23:58 time: 0.4058 data_time: 0.0210 memory: 17006 grad_norm: 12.0176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0849 loss: 1.0849 2022/07/30 07:12:03 - mmengine - INFO - Epoch(train) [154][3020/3757] lr: 5.4497e-04 eta: 11:23:50 time: 0.4183 data_time: 0.0225 memory: 17006 grad_norm: 11.7315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/07/30 07:12:11 - mmengine - INFO - Epoch(train) [154][3040/3757] lr: 5.4497e-04 eta: 11:23:41 time: 0.4140 data_time: 0.0221 memory: 17006 grad_norm: 12.1798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4508 loss: 1.4508 2022/07/30 07:12:20 - mmengine - INFO - Epoch(train) [154][3060/3757] lr: 5.4497e-04 eta: 11:23:33 time: 0.4131 data_time: 0.0218 memory: 17006 grad_norm: 11.4729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2016 loss: 1.2016 2022/07/30 07:12:29 - mmengine - INFO - Epoch(train) [154][3080/3757] lr: 5.4497e-04 eta: 11:23:25 time: 0.4390 data_time: 0.0216 memory: 17006 grad_norm: 11.5037 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1094 loss: 1.1094 2022/07/30 07:12:37 - mmengine - INFO - Epoch(train) [154][3100/3757] lr: 5.4497e-04 eta: 11:23:16 time: 0.4068 data_time: 0.0215 memory: 17006 grad_norm: 11.4635 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1080 loss: 1.1080 2022/07/30 07:12:45 - mmengine - INFO - Epoch(train) [154][3120/3757] lr: 5.4497e-04 eta: 11:23:08 time: 0.4054 data_time: 0.0213 memory: 17006 grad_norm: 11.8435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4796 loss: 1.4796 2022/07/30 07:12:53 - mmengine - INFO - Epoch(train) [154][3140/3757] lr: 5.4497e-04 eta: 11:22:59 time: 0.4073 data_time: 0.0207 memory: 17006 grad_norm: 11.8609 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3214 loss: 1.3214 2022/07/30 07:13:02 - mmengine - INFO - Epoch(train) [154][3160/3757] lr: 5.4497e-04 eta: 11:22:51 time: 0.4247 data_time: 0.0239 memory: 17006 grad_norm: 11.6368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3105 loss: 1.3105 2022/07/30 07:13:09 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:13:10 - mmengine - INFO - Epoch(train) [154][3180/3757] lr: 5.4497e-04 eta: 11:22:43 time: 0.4060 data_time: 0.0203 memory: 17006 grad_norm: 10.9780 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2800 loss: 1.2800 2022/07/30 07:13:18 - mmengine - INFO - Epoch(train) [154][3200/3757] lr: 5.4497e-04 eta: 11:22:34 time: 0.4165 data_time: 0.0237 memory: 17006 grad_norm: 11.2425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3081 loss: 1.3081 2022/07/30 07:13:26 - mmengine - INFO - Epoch(train) [154][3220/3757] lr: 5.4497e-04 eta: 11:22:26 time: 0.4063 data_time: 0.0206 memory: 17006 grad_norm: 11.5369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3688 loss: 1.3688 2022/07/30 07:13:34 - mmengine - INFO - Epoch(train) [154][3240/3757] lr: 5.4497e-04 eta: 11:22:17 time: 0.4103 data_time: 0.0209 memory: 17006 grad_norm: 11.5798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9795 loss: 0.9795 2022/07/30 07:13:43 - mmengine - INFO - Epoch(train) [154][3260/3757] lr: 5.4497e-04 eta: 11:22:09 time: 0.4152 data_time: 0.0240 memory: 17006 grad_norm: 11.0885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3528 loss: 1.3528 2022/07/30 07:13:51 - mmengine - INFO - Epoch(train) [154][3280/3757] lr: 5.4497e-04 eta: 11:22:01 time: 0.4157 data_time: 0.0209 memory: 17006 grad_norm: 10.8290 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2075 loss: 1.2075 2022/07/30 07:13:59 - mmengine - INFO - Epoch(train) [154][3300/3757] lr: 5.4497e-04 eta: 11:21:52 time: 0.4097 data_time: 0.0227 memory: 17006 grad_norm: 10.9538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2047 loss: 1.2047 2022/07/30 07:14:08 - mmengine - INFO - Epoch(train) [154][3320/3757] lr: 5.4497e-04 eta: 11:21:44 time: 0.4081 data_time: 0.0213 memory: 17006 grad_norm: 11.4476 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1638 loss: 1.1638 2022/07/30 07:14:16 - mmengine - INFO - Epoch(train) [154][3340/3757] lr: 5.4497e-04 eta: 11:21:35 time: 0.4063 data_time: 0.0215 memory: 17006 grad_norm: 11.7701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0087 loss: 1.0087 2022/07/30 07:14:24 - mmengine - INFO - Epoch(train) [154][3360/3757] lr: 5.4497e-04 eta: 11:21:27 time: 0.4078 data_time: 0.0226 memory: 17006 grad_norm: 11.5867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1111 loss: 1.1111 2022/07/30 07:14:32 - mmengine - INFO - Epoch(train) [154][3380/3757] lr: 5.4497e-04 eta: 11:21:18 time: 0.4111 data_time: 0.0230 memory: 17006 grad_norm: 11.2629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2642 loss: 1.2642 2022/07/30 07:14:40 - mmengine - INFO - Epoch(train) [154][3400/3757] lr: 5.4497e-04 eta: 11:21:10 time: 0.4081 data_time: 0.0217 memory: 17006 grad_norm: 11.3253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1847 loss: 1.1847 2022/07/30 07:14:49 - mmengine - INFO - Epoch(train) [154][3420/3757] lr: 5.4497e-04 eta: 11:21:02 time: 0.4158 data_time: 0.0201 memory: 17006 grad_norm: 11.0738 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0382 loss: 1.0382 2022/07/30 07:14:57 - mmengine - INFO - Epoch(train) [154][3440/3757] lr: 5.4497e-04 eta: 11:20:53 time: 0.4183 data_time: 0.0205 memory: 17006 grad_norm: 11.5601 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1460 loss: 1.1460 2022/07/30 07:15:05 - mmengine - INFO - Epoch(train) [154][3460/3757] lr: 5.4497e-04 eta: 11:20:45 time: 0.4078 data_time: 0.0202 memory: 17006 grad_norm: 11.1480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8839 loss: 0.8839 2022/07/30 07:15:14 - mmengine - INFO - Epoch(train) [154][3480/3757] lr: 5.4497e-04 eta: 11:20:37 time: 0.4418 data_time: 0.0210 memory: 17006 grad_norm: 11.8320 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4496 loss: 1.4496 2022/07/30 07:15:22 - mmengine - INFO - Epoch(train) [154][3500/3757] lr: 5.4497e-04 eta: 11:20:28 time: 0.4158 data_time: 0.0241 memory: 17006 grad_norm: 11.7490 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3749 loss: 1.3749 2022/07/30 07:15:31 - mmengine - INFO - Epoch(train) [154][3520/3757] lr: 5.4497e-04 eta: 11:20:20 time: 0.4089 data_time: 0.0211 memory: 17006 grad_norm: 11.2966 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2862 loss: 1.2862 2022/07/30 07:15:39 - mmengine - INFO - Epoch(train) [154][3540/3757] lr: 5.4497e-04 eta: 11:20:12 time: 0.4381 data_time: 0.0232 memory: 17006 grad_norm: 11.3621 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1132 loss: 1.1132 2022/07/30 07:15:48 - mmengine - INFO - Epoch(train) [154][3560/3757] lr: 5.4497e-04 eta: 11:20:03 time: 0.4090 data_time: 0.0221 memory: 17006 grad_norm: 11.2555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3902 loss: 1.3902 2022/07/30 07:15:56 - mmengine - INFO - Epoch(train) [154][3580/3757] lr: 5.4497e-04 eta: 11:19:55 time: 0.4057 data_time: 0.0209 memory: 17006 grad_norm: 12.0707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2522 loss: 1.2522 2022/07/30 07:16:05 - mmengine - INFO - Epoch(train) [154][3600/3757] lr: 5.4497e-04 eta: 11:19:47 time: 0.4373 data_time: 0.0235 memory: 17006 grad_norm: 11.2668 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0464 loss: 1.0464 2022/07/30 07:16:13 - mmengine - INFO - Epoch(train) [154][3620/3757] lr: 5.4497e-04 eta: 11:19:38 time: 0.4072 data_time: 0.0205 memory: 17006 grad_norm: 11.1215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1081 loss: 1.1081 2022/07/30 07:16:22 - mmengine - INFO - Epoch(train) [154][3640/3757] lr: 5.4497e-04 eta: 11:19:30 time: 0.4416 data_time: 0.0224 memory: 17006 grad_norm: 11.8450 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4194 loss: 1.4194 2022/07/30 07:16:30 - mmengine - INFO - Epoch(train) [154][3660/3757] lr: 5.4497e-04 eta: 11:19:22 time: 0.4058 data_time: 0.0214 memory: 17006 grad_norm: 12.0735 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1252 loss: 1.1252 2022/07/30 07:16:38 - mmengine - INFO - Epoch(train) [154][3680/3757] lr: 5.4497e-04 eta: 11:19:14 time: 0.4103 data_time: 0.0212 memory: 17006 grad_norm: 10.8233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0858 loss: 1.0858 2022/07/30 07:16:46 - mmengine - INFO - Epoch(train) [154][3700/3757] lr: 5.4497e-04 eta: 11:19:05 time: 0.4052 data_time: 0.0203 memory: 17006 grad_norm: 11.7974 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8856 loss: 0.8856 2022/07/30 07:16:54 - mmengine - INFO - Epoch(train) [154][3720/3757] lr: 5.4497e-04 eta: 11:18:57 time: 0.4068 data_time: 0.0215 memory: 17006 grad_norm: 11.6478 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2724 loss: 1.2724 2022/07/30 07:17:03 - mmengine - INFO - Epoch(train) [154][3740/3757] lr: 5.4497e-04 eta: 11:18:48 time: 0.4299 data_time: 0.0222 memory: 17006 grad_norm: 11.5510 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1772 loss: 1.1772 2022/07/30 07:17:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:17:10 - mmengine - INFO - Epoch(train) [154][3757/3757] lr: 5.4497e-04 eta: 11:18:48 time: 0.4004 data_time: 0.0194 memory: 17006 grad_norm: 11.3810 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3249 loss: 1.3249 2022/07/30 07:17:10 - mmengine - INFO - Saving checkpoint at 154 epochs 2022/07/30 07:17:24 - mmengine - INFO - Epoch(train) [155][20/3757] lr: 5.0603e-04 eta: 11:18:29 time: 0.4622 data_time: 0.0733 memory: 17006 grad_norm: 12.0799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2247 loss: 1.2247 2022/07/30 07:17:32 - mmengine - INFO - Epoch(train) [155][40/3757] lr: 5.0603e-04 eta: 11:18:20 time: 0.4168 data_time: 0.0231 memory: 17006 grad_norm: 11.0387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1444 loss: 1.1444 2022/07/30 07:17:41 - mmengine - INFO - Epoch(train) [155][60/3757] lr: 5.0603e-04 eta: 11:18:12 time: 0.4121 data_time: 0.0202 memory: 17006 grad_norm: 11.7715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0850 loss: 1.0850 2022/07/30 07:17:49 - mmengine - INFO - Epoch(train) [155][80/3757] lr: 5.0603e-04 eta: 11:18:04 time: 0.4077 data_time: 0.0225 memory: 17006 grad_norm: 11.5675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3423 loss: 1.3423 2022/07/30 07:17:57 - mmengine - INFO - Epoch(train) [155][100/3757] lr: 5.0603e-04 eta: 11:17:55 time: 0.4054 data_time: 0.0197 memory: 17006 grad_norm: 11.3532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2735 loss: 1.2735 2022/07/30 07:18:05 - mmengine - INFO - Epoch(train) [155][120/3757] lr: 5.0603e-04 eta: 11:17:47 time: 0.4275 data_time: 0.0203 memory: 17006 grad_norm: 11.6432 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1030 loss: 1.1030 2022/07/30 07:18:14 - mmengine - INFO - Epoch(train) [155][140/3757] lr: 5.0603e-04 eta: 11:17:38 time: 0.4053 data_time: 0.0201 memory: 17006 grad_norm: 11.1279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0082 loss: 1.0082 2022/07/30 07:18:22 - mmengine - INFO - Epoch(train) [155][160/3757] lr: 5.0603e-04 eta: 11:17:30 time: 0.4137 data_time: 0.0228 memory: 17006 grad_norm: 11.3491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/07/30 07:18:30 - mmengine - INFO - Epoch(train) [155][180/3757] lr: 5.0603e-04 eta: 11:17:22 time: 0.4105 data_time: 0.0204 memory: 17006 grad_norm: 11.5877 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1288 loss: 1.1288 2022/07/30 07:18:39 - mmengine - INFO - Epoch(train) [155][200/3757] lr: 5.0603e-04 eta: 11:17:13 time: 0.4191 data_time: 0.0237 memory: 17006 grad_norm: 11.3392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1531 loss: 1.1531 2022/07/30 07:18:47 - mmengine - INFO - Epoch(train) [155][220/3757] lr: 5.0603e-04 eta: 11:17:05 time: 0.4050 data_time: 0.0187 memory: 17006 grad_norm: 11.0368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4967 loss: 1.4967 2022/07/30 07:18:55 - mmengine - INFO - Epoch(train) [155][240/3757] lr: 5.0603e-04 eta: 11:16:57 time: 0.4257 data_time: 0.0218 memory: 17006 grad_norm: 11.5240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9539 loss: 0.9539 2022/07/30 07:19:03 - mmengine - INFO - Epoch(train) [155][260/3757] lr: 5.0603e-04 eta: 11:16:48 time: 0.4038 data_time: 0.0189 memory: 17006 grad_norm: 11.6087 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0433 loss: 1.0433 2022/07/30 07:19:12 - mmengine - INFO - Epoch(train) [155][280/3757] lr: 5.0603e-04 eta: 11:16:40 time: 0.4161 data_time: 0.0225 memory: 17006 grad_norm: 11.7767 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9754 loss: 0.9754 2022/07/30 07:19:20 - mmengine - INFO - Epoch(train) [155][300/3757] lr: 5.0603e-04 eta: 11:16:31 time: 0.4055 data_time: 0.0187 memory: 17006 grad_norm: 11.5111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1315 loss: 1.1315 2022/07/30 07:19:29 - mmengine - INFO - Epoch(train) [155][320/3757] lr: 5.0603e-04 eta: 11:16:23 time: 0.4342 data_time: 0.0222 memory: 17006 grad_norm: 11.2983 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1912 loss: 1.1912 2022/07/30 07:19:37 - mmengine - INFO - Epoch(train) [155][340/3757] lr: 5.0603e-04 eta: 11:16:15 time: 0.4047 data_time: 0.0194 memory: 17006 grad_norm: 11.6989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4367 loss: 1.4367 2022/07/30 07:19:45 - mmengine - INFO - Epoch(train) [155][360/3757] lr: 5.0603e-04 eta: 11:16:06 time: 0.4063 data_time: 0.0216 memory: 17006 grad_norm: 12.2533 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2719 loss: 1.2719 2022/07/30 07:19:54 - mmengine - INFO - Epoch(train) [155][380/3757] lr: 5.0603e-04 eta: 11:15:58 time: 0.4515 data_time: 0.0221 memory: 17006 grad_norm: 12.0061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2573 loss: 1.2573 2022/07/30 07:20:02 - mmengine - INFO - Epoch(train) [155][400/3757] lr: 5.0603e-04 eta: 11:15:50 time: 0.4074 data_time: 0.0218 memory: 17006 grad_norm: 11.3810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1940 loss: 1.1940 2022/07/30 07:20:11 - mmengine - INFO - Epoch(train) [155][420/3757] lr: 5.0603e-04 eta: 11:15:42 time: 0.4594 data_time: 0.0208 memory: 17006 grad_norm: 11.1916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1988 loss: 1.1988 2022/07/30 07:20:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:20:19 - mmengine - INFO - Epoch(train) [155][440/3757] lr: 5.0603e-04 eta: 11:15:34 time: 0.4055 data_time: 0.0217 memory: 17006 grad_norm: 11.7480 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5155 loss: 1.5155 2022/07/30 07:20:28 - mmengine - INFO - Epoch(train) [155][460/3757] lr: 5.0603e-04 eta: 11:15:25 time: 0.4152 data_time: 0.0206 memory: 17006 grad_norm: 11.6849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2875 loss: 1.2875 2022/07/30 07:20:36 - mmengine - INFO - Epoch(train) [155][480/3757] lr: 5.0603e-04 eta: 11:15:17 time: 0.4065 data_time: 0.0214 memory: 17006 grad_norm: 11.1271 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4337 loss: 1.4337 2022/07/30 07:20:44 - mmengine - INFO - Epoch(train) [155][500/3757] lr: 5.0603e-04 eta: 11:15:08 time: 0.4119 data_time: 0.0211 memory: 17006 grad_norm: 11.3876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2536 loss: 1.2536 2022/07/30 07:20:53 - mmengine - INFO - Epoch(train) [155][520/3757] lr: 5.0603e-04 eta: 11:15:00 time: 0.4205 data_time: 0.0230 memory: 17006 grad_norm: 11.9238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2691 loss: 1.2691 2022/07/30 07:21:01 - mmengine - INFO - Epoch(train) [155][540/3757] lr: 5.0603e-04 eta: 11:14:52 time: 0.4160 data_time: 0.0180 memory: 17006 grad_norm: 11.2056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2832 loss: 1.2832 2022/07/30 07:21:09 - mmengine - INFO - Epoch(train) [155][560/3757] lr: 5.0603e-04 eta: 11:14:43 time: 0.4209 data_time: 0.0240 memory: 17006 grad_norm: 11.3496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2324 loss: 1.2324 2022/07/30 07:21:18 - mmengine - INFO - Epoch(train) [155][580/3757] lr: 5.0603e-04 eta: 11:14:35 time: 0.4040 data_time: 0.0194 memory: 17006 grad_norm: 12.5405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1915 loss: 1.1915 2022/07/30 07:21:26 - mmengine - INFO - Epoch(train) [155][600/3757] lr: 5.0603e-04 eta: 11:14:26 time: 0.4055 data_time: 0.0216 memory: 17006 grad_norm: 11.8507 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2420 loss: 1.2420 2022/07/30 07:21:35 - mmengine - INFO - Epoch(train) [155][620/3757] lr: 5.0603e-04 eta: 11:14:19 time: 0.4706 data_time: 0.0200 memory: 17006 grad_norm: 11.7165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4568 loss: 1.4568 2022/07/30 07:21:43 - mmengine - INFO - Epoch(train) [155][640/3757] lr: 5.0603e-04 eta: 11:14:10 time: 0.4067 data_time: 0.0217 memory: 17006 grad_norm: 11.4078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2627 loss: 1.2627 2022/07/30 07:21:52 - mmengine - INFO - Epoch(train) [155][660/3757] lr: 5.0603e-04 eta: 11:14:02 time: 0.4217 data_time: 0.0218 memory: 17006 grad_norm: 11.5274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2037 loss: 1.2037 2022/07/30 07:22:00 - mmengine - INFO - Epoch(train) [155][680/3757] lr: 5.0603e-04 eta: 11:13:54 time: 0.4066 data_time: 0.0209 memory: 17006 grad_norm: 11.4728 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2611 loss: 1.2611 2022/07/30 07:22:08 - mmengine - INFO - Epoch(train) [155][700/3757] lr: 5.0603e-04 eta: 11:13:45 time: 0.4117 data_time: 0.0212 memory: 17006 grad_norm: 11.3131 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3569 loss: 1.3569 2022/07/30 07:22:16 - mmengine - INFO - Epoch(train) [155][720/3757] lr: 5.0603e-04 eta: 11:13:37 time: 0.4066 data_time: 0.0212 memory: 17006 grad_norm: 11.5436 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/07/30 07:22:25 - mmengine - INFO - Epoch(train) [155][740/3757] lr: 5.0603e-04 eta: 11:13:29 time: 0.4355 data_time: 0.0194 memory: 17006 grad_norm: 11.8587 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/07/30 07:22:33 - mmengine - INFO - Epoch(train) [155][760/3757] lr: 5.0603e-04 eta: 11:13:20 time: 0.4166 data_time: 0.0220 memory: 17006 grad_norm: 11.7646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1982 loss: 1.1982 2022/07/30 07:22:42 - mmengine - INFO - Epoch(train) [155][780/3757] lr: 5.0603e-04 eta: 11:13:12 time: 0.4073 data_time: 0.0211 memory: 17006 grad_norm: 11.6690 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1184 loss: 1.1184 2022/07/30 07:22:50 - mmengine - INFO - Epoch(train) [155][800/3757] lr: 5.0603e-04 eta: 11:13:04 time: 0.4275 data_time: 0.0228 memory: 17006 grad_norm: 11.6837 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4982 loss: 1.4982 2022/07/30 07:22:58 - mmengine - INFO - Epoch(train) [155][820/3757] lr: 5.0603e-04 eta: 11:12:55 time: 0.4046 data_time: 0.0196 memory: 17006 grad_norm: 10.8471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9224 loss: 0.9224 2022/07/30 07:23:06 - mmengine - INFO - Epoch(train) [155][840/3757] lr: 5.0603e-04 eta: 11:12:47 time: 0.4082 data_time: 0.0230 memory: 17006 grad_norm: 11.4475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2787 loss: 1.2787 2022/07/30 07:23:15 - mmengine - INFO - Epoch(train) [155][860/3757] lr: 5.0603e-04 eta: 11:12:39 time: 0.4352 data_time: 0.0212 memory: 17006 grad_norm: 11.6172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2600 loss: 1.2600 2022/07/30 07:23:23 - mmengine - INFO - Epoch(train) [155][880/3757] lr: 5.0603e-04 eta: 11:12:30 time: 0.4081 data_time: 0.0221 memory: 17006 grad_norm: 11.6377 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4215 loss: 1.4215 2022/07/30 07:23:32 - mmengine - INFO - Epoch(train) [155][900/3757] lr: 5.0603e-04 eta: 11:12:22 time: 0.4129 data_time: 0.0208 memory: 17006 grad_norm: 11.5496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0921 loss: 1.0921 2022/07/30 07:23:40 - mmengine - INFO - Epoch(train) [155][920/3757] lr: 5.0603e-04 eta: 11:12:13 time: 0.4083 data_time: 0.0215 memory: 17006 grad_norm: 11.9910 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2277 loss: 1.2277 2022/07/30 07:23:49 - mmengine - INFO - Epoch(train) [155][940/3757] lr: 5.0603e-04 eta: 11:12:05 time: 0.4600 data_time: 0.0225 memory: 17006 grad_norm: 12.2645 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2073 loss: 1.2073 2022/07/30 07:23:57 - mmengine - INFO - Epoch(train) [155][960/3757] lr: 5.0603e-04 eta: 11:11:57 time: 0.4092 data_time: 0.0215 memory: 17006 grad_norm: 11.6665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2904 loss: 1.2904 2022/07/30 07:24:05 - mmengine - INFO - Epoch(train) [155][980/3757] lr: 5.0603e-04 eta: 11:11:49 time: 0.4055 data_time: 0.0192 memory: 17006 grad_norm: 11.2218 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5165 loss: 1.5165 2022/07/30 07:24:14 - mmengine - INFO - Epoch(train) [155][1000/3757] lr: 5.0603e-04 eta: 11:11:40 time: 0.4325 data_time: 0.0219 memory: 17006 grad_norm: 11.5768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/07/30 07:24:22 - mmengine - INFO - Epoch(train) [155][1020/3757] lr: 5.0603e-04 eta: 11:11:32 time: 0.4067 data_time: 0.0201 memory: 17006 grad_norm: 11.4892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3623 loss: 1.3623 2022/07/30 07:24:31 - mmengine - INFO - Epoch(train) [155][1040/3757] lr: 5.0603e-04 eta: 11:11:24 time: 0.4259 data_time: 0.0261 memory: 17006 grad_norm: 11.6557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2098 loss: 1.2098 2022/07/30 07:24:39 - mmengine - INFO - Epoch(train) [155][1060/3757] lr: 5.0603e-04 eta: 11:11:15 time: 0.4056 data_time: 0.0187 memory: 17006 grad_norm: 11.1559 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2887 loss: 1.2887 2022/07/30 07:24:47 - mmengine - INFO - Epoch(train) [155][1080/3757] lr: 5.0603e-04 eta: 11:11:07 time: 0.4097 data_time: 0.0243 memory: 17006 grad_norm: 11.7344 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/07/30 07:24:56 - mmengine - INFO - Epoch(train) [155][1100/3757] lr: 5.0603e-04 eta: 11:10:59 time: 0.4349 data_time: 0.0193 memory: 17006 grad_norm: 11.5154 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0297 loss: 1.0297 2022/07/30 07:25:04 - mmengine - INFO - Epoch(train) [155][1120/3757] lr: 5.0603e-04 eta: 11:10:50 time: 0.4113 data_time: 0.0233 memory: 17006 grad_norm: 11.7316 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2164 loss: 1.2164 2022/07/30 07:25:13 - mmengine - INFO - Epoch(train) [155][1140/3757] lr: 5.0603e-04 eta: 11:10:42 time: 0.4347 data_time: 0.0216 memory: 17006 grad_norm: 12.1251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3461 loss: 1.3461 2022/07/30 07:25:21 - mmengine - INFO - Epoch(train) [155][1160/3757] lr: 5.0603e-04 eta: 11:10:34 time: 0.4062 data_time: 0.0199 memory: 17006 grad_norm: 11.4722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3184 loss: 1.3184 2022/07/30 07:25:30 - mmengine - INFO - Epoch(train) [155][1180/3757] lr: 5.0603e-04 eta: 11:10:26 time: 0.4422 data_time: 0.0223 memory: 17006 grad_norm: 10.8219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4502 loss: 1.4502 2022/07/30 07:25:38 - mmengine - INFO - Epoch(train) [155][1200/3757] lr: 5.0603e-04 eta: 11:10:17 time: 0.4070 data_time: 0.0222 memory: 17006 grad_norm: 10.9118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1836 loss: 1.1836 2022/07/30 07:25:46 - mmengine - INFO - Epoch(train) [155][1220/3757] lr: 5.0603e-04 eta: 11:10:09 time: 0.4071 data_time: 0.0201 memory: 17006 grad_norm: 11.1888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0683 loss: 1.0683 2022/07/30 07:25:55 - mmengine - INFO - Epoch(train) [155][1240/3757] lr: 5.0603e-04 eta: 11:10:01 time: 0.4325 data_time: 0.0219 memory: 17006 grad_norm: 11.7778 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1708 loss: 1.1708 2022/07/30 07:26:03 - mmengine - INFO - Epoch(train) [155][1260/3757] lr: 5.0603e-04 eta: 11:09:52 time: 0.4072 data_time: 0.0186 memory: 17006 grad_norm: 10.9996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0591 loss: 1.0591 2022/07/30 07:26:12 - mmengine - INFO - Epoch(train) [155][1280/3757] lr: 5.0603e-04 eta: 11:09:44 time: 0.4408 data_time: 0.0257 memory: 17006 grad_norm: 11.5376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3393 loss: 1.3393 2022/07/30 07:26:20 - mmengine - INFO - Epoch(train) [155][1300/3757] lr: 5.0603e-04 eta: 11:09:36 time: 0.4049 data_time: 0.0204 memory: 17006 grad_norm: 11.8859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1387 loss: 1.1387 2022/07/30 07:26:29 - mmengine - INFO - Epoch(train) [155][1320/3757] lr: 5.0603e-04 eta: 11:09:28 time: 0.4291 data_time: 0.0229 memory: 17006 grad_norm: 11.9413 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0033 loss: 1.0033 2022/07/30 07:26:37 - mmengine - INFO - Epoch(train) [155][1340/3757] lr: 5.0603e-04 eta: 11:09:19 time: 0.4049 data_time: 0.0184 memory: 17006 grad_norm: 12.1583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4581 loss: 1.4581 2022/07/30 07:26:45 - mmengine - INFO - Epoch(train) [155][1360/3757] lr: 5.0603e-04 eta: 11:09:11 time: 0.4077 data_time: 0.0216 memory: 17006 grad_norm: 11.1624 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2884 loss: 1.2884 2022/07/30 07:26:53 - mmengine - INFO - Epoch(train) [155][1380/3757] lr: 5.0603e-04 eta: 11:09:02 time: 0.4165 data_time: 0.0201 memory: 17006 grad_norm: 11.6733 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5210 loss: 1.5210 2022/07/30 07:27:02 - mmengine - INFO - Epoch(train) [155][1400/3757] lr: 5.0603e-04 eta: 11:08:54 time: 0.4098 data_time: 0.0231 memory: 17006 grad_norm: 11.6247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2122 loss: 1.2122 2022/07/30 07:27:10 - mmengine - INFO - Epoch(train) [155][1420/3757] lr: 5.0603e-04 eta: 11:08:46 time: 0.4428 data_time: 0.0211 memory: 17006 grad_norm: 11.4531 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4087 loss: 1.4087 2022/07/30 07:27:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:27:19 - mmengine - INFO - Epoch(train) [155][1440/3757] lr: 5.0603e-04 eta: 11:08:37 time: 0.4066 data_time: 0.0218 memory: 17006 grad_norm: 11.2426 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6173 loss: 1.6173 2022/07/30 07:27:27 - mmengine - INFO - Epoch(train) [155][1460/3757] lr: 5.0603e-04 eta: 11:08:29 time: 0.4042 data_time: 0.0192 memory: 17006 grad_norm: 11.5232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1262 loss: 1.1262 2022/07/30 07:27:36 - mmengine - INFO - Epoch(train) [155][1480/3757] lr: 5.0603e-04 eta: 11:08:21 time: 0.4387 data_time: 0.0256 memory: 17006 grad_norm: 11.5479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2550 loss: 1.2550 2022/07/30 07:27:44 - mmengine - INFO - Epoch(train) [155][1500/3757] lr: 5.0603e-04 eta: 11:08:12 time: 0.4040 data_time: 0.0184 memory: 17006 grad_norm: 11.6820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1056 loss: 1.1056 2022/07/30 07:27:53 - mmengine - INFO - Epoch(train) [155][1520/3757] lr: 5.0603e-04 eta: 11:08:04 time: 0.4576 data_time: 0.0236 memory: 17006 grad_norm: 11.5106 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3512 loss: 1.3512 2022/07/30 07:28:01 - mmengine - INFO - Epoch(train) [155][1540/3757] lr: 5.0603e-04 eta: 11:07:56 time: 0.4052 data_time: 0.0186 memory: 17006 grad_norm: 11.2047 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1684 loss: 1.1684 2022/07/30 07:28:09 - mmengine - INFO - Epoch(train) [155][1560/3757] lr: 5.0603e-04 eta: 11:07:48 time: 0.4123 data_time: 0.0225 memory: 17006 grad_norm: 11.3564 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0602 loss: 1.0602 2022/07/30 07:28:17 - mmengine - INFO - Epoch(train) [155][1580/3757] lr: 5.0603e-04 eta: 11:07:39 time: 0.4061 data_time: 0.0185 memory: 17006 grad_norm: 11.0420 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/07/30 07:28:26 - mmengine - INFO - Epoch(train) [155][1600/3757] lr: 5.0603e-04 eta: 11:07:31 time: 0.4219 data_time: 0.0223 memory: 17006 grad_norm: 11.3421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8785 loss: 0.8785 2022/07/30 07:28:34 - mmengine - INFO - Epoch(train) [155][1620/3757] lr: 5.0603e-04 eta: 11:07:22 time: 0.4147 data_time: 0.0224 memory: 17006 grad_norm: 11.7329 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3117 loss: 1.3117 2022/07/30 07:28:42 - mmengine - INFO - Epoch(train) [155][1640/3757] lr: 5.0603e-04 eta: 11:07:14 time: 0.4062 data_time: 0.0209 memory: 17006 grad_norm: 11.0886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9737 loss: 0.9737 2022/07/30 07:28:51 - mmengine - INFO - Epoch(train) [155][1660/3757] lr: 5.0603e-04 eta: 11:07:06 time: 0.4368 data_time: 0.0208 memory: 17006 grad_norm: 11.7617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2329 loss: 1.2329 2022/07/30 07:28:59 - mmengine - INFO - Epoch(train) [155][1680/3757] lr: 5.0603e-04 eta: 11:06:58 time: 0.4129 data_time: 0.0228 memory: 17006 grad_norm: 11.6339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1297 loss: 1.1297 2022/07/30 07:29:08 - mmengine - INFO - Epoch(train) [155][1700/3757] lr: 5.0603e-04 eta: 11:06:49 time: 0.4043 data_time: 0.0189 memory: 17006 grad_norm: 11.9672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1191 loss: 1.1191 2022/07/30 07:29:16 - mmengine - INFO - Epoch(train) [155][1720/3757] lr: 5.0603e-04 eta: 11:06:41 time: 0.4322 data_time: 0.0235 memory: 17006 grad_norm: 11.3775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4485 loss: 1.4485 2022/07/30 07:29:24 - mmengine - INFO - Epoch(train) [155][1740/3757] lr: 5.0603e-04 eta: 11:06:32 time: 0.4085 data_time: 0.0206 memory: 17006 grad_norm: 11.9240 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3766 loss: 1.3766 2022/07/30 07:29:33 - mmengine - INFO - Epoch(train) [155][1760/3757] lr: 5.0603e-04 eta: 11:06:24 time: 0.4205 data_time: 0.0230 memory: 17006 grad_norm: 11.7148 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0234 loss: 1.0234 2022/07/30 07:29:41 - mmengine - INFO - Epoch(train) [155][1780/3757] lr: 5.0603e-04 eta: 11:06:16 time: 0.4258 data_time: 0.0188 memory: 17006 grad_norm: 11.3616 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3127 loss: 1.3127 2022/07/30 07:29:50 - mmengine - INFO - Epoch(train) [155][1800/3757] lr: 5.0603e-04 eta: 11:06:08 time: 0.4189 data_time: 0.0227 memory: 17006 grad_norm: 11.6920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3869 loss: 1.3869 2022/07/30 07:29:58 - mmengine - INFO - Epoch(train) [155][1820/3757] lr: 5.0603e-04 eta: 11:05:59 time: 0.4054 data_time: 0.0179 memory: 17006 grad_norm: 11.7300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5214 loss: 1.5214 2022/07/30 07:30:07 - mmengine - INFO - Epoch(train) [155][1840/3757] lr: 5.0603e-04 eta: 11:05:51 time: 0.4375 data_time: 0.0224 memory: 17006 grad_norm: 11.0860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1811 loss: 1.1811 2022/07/30 07:30:15 - mmengine - INFO - Epoch(train) [155][1860/3757] lr: 5.0603e-04 eta: 11:05:43 time: 0.4189 data_time: 0.0197 memory: 17006 grad_norm: 11.0524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3548 loss: 1.3548 2022/07/30 07:30:24 - mmengine - INFO - Epoch(train) [155][1880/3757] lr: 5.0603e-04 eta: 11:05:35 time: 0.4286 data_time: 0.0229 memory: 17006 grad_norm: 11.7978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4652 loss: 1.4652 2022/07/30 07:30:32 - mmengine - INFO - Epoch(train) [155][1900/3757] lr: 5.0603e-04 eta: 11:05:26 time: 0.4098 data_time: 0.0189 memory: 17006 grad_norm: 11.6131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0552 loss: 1.0552 2022/07/30 07:30:40 - mmengine - INFO - Epoch(train) [155][1920/3757] lr: 5.0603e-04 eta: 11:05:18 time: 0.4094 data_time: 0.0222 memory: 17006 grad_norm: 11.4333 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9831 loss: 0.9831 2022/07/30 07:30:48 - mmengine - INFO - Epoch(train) [155][1940/3757] lr: 5.0603e-04 eta: 11:05:09 time: 0.4090 data_time: 0.0191 memory: 17006 grad_norm: 11.3939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2276 loss: 1.2276 2022/07/30 07:30:57 - mmengine - INFO - Epoch(train) [155][1960/3757] lr: 5.0603e-04 eta: 11:05:01 time: 0.4063 data_time: 0.0212 memory: 17006 grad_norm: 11.4080 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.2304 loss: 1.2304 2022/07/30 07:31:05 - mmengine - INFO - Epoch(train) [155][1980/3757] lr: 5.0603e-04 eta: 11:04:53 time: 0.4218 data_time: 0.0205 memory: 17006 grad_norm: 11.3516 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0751 loss: 1.0751 2022/07/30 07:31:13 - mmengine - INFO - Epoch(train) [155][2000/3757] lr: 5.0603e-04 eta: 11:04:44 time: 0.4071 data_time: 0.0211 memory: 17006 grad_norm: 11.2876 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9904 loss: 0.9904 2022/07/30 07:31:22 - mmengine - INFO - Epoch(train) [155][2020/3757] lr: 5.0603e-04 eta: 11:04:36 time: 0.4465 data_time: 0.0183 memory: 17006 grad_norm: 11.5996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4511 loss: 1.4511 2022/07/30 07:31:30 - mmengine - INFO - Epoch(train) [155][2040/3757] lr: 5.0603e-04 eta: 11:04:28 time: 0.4055 data_time: 0.0207 memory: 17006 grad_norm: 11.8023 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3390 loss: 1.3390 2022/07/30 07:31:39 - mmengine - INFO - Epoch(train) [155][2060/3757] lr: 5.0603e-04 eta: 11:04:20 time: 0.4402 data_time: 0.0189 memory: 17006 grad_norm: 11.5067 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1093 loss: 1.1093 2022/07/30 07:31:47 - mmengine - INFO - Epoch(train) [155][2080/3757] lr: 5.0603e-04 eta: 11:04:11 time: 0.4054 data_time: 0.0216 memory: 17006 grad_norm: 11.6387 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3852 loss: 1.3852 2022/07/30 07:31:55 - mmengine - INFO - Epoch(train) [155][2100/3757] lr: 5.0603e-04 eta: 11:04:03 time: 0.4055 data_time: 0.0187 memory: 17006 grad_norm: 11.1096 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3369 loss: 1.3369 2022/07/30 07:32:04 - mmengine - INFO - Epoch(train) [155][2120/3757] lr: 5.0603e-04 eta: 11:03:54 time: 0.4173 data_time: 0.0220 memory: 17006 grad_norm: 12.1573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4179 loss: 1.4179 2022/07/30 07:32:12 - mmengine - INFO - Epoch(train) [155][2140/3757] lr: 5.0603e-04 eta: 11:03:46 time: 0.4061 data_time: 0.0203 memory: 17006 grad_norm: 11.7103 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3073 loss: 1.3073 2022/07/30 07:32:20 - mmengine - INFO - Epoch(train) [155][2160/3757] lr: 5.0603e-04 eta: 11:03:38 time: 0.4191 data_time: 0.0234 memory: 17006 grad_norm: 11.3198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0857 loss: 1.0857 2022/07/30 07:32:29 - mmengine - INFO - Epoch(train) [155][2180/3757] lr: 5.0603e-04 eta: 11:03:29 time: 0.4167 data_time: 0.0195 memory: 17006 grad_norm: 11.9525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5478 loss: 1.5478 2022/07/30 07:32:37 - mmengine - INFO - Epoch(train) [155][2200/3757] lr: 5.0603e-04 eta: 11:03:21 time: 0.4064 data_time: 0.0218 memory: 17006 grad_norm: 11.6263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0673 loss: 1.0673 2022/07/30 07:32:45 - mmengine - INFO - Epoch(train) [155][2220/3757] lr: 5.0603e-04 eta: 11:03:12 time: 0.4093 data_time: 0.0206 memory: 17006 grad_norm: 11.1577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2982 loss: 1.2982 2022/07/30 07:32:53 - mmengine - INFO - Epoch(train) [155][2240/3757] lr: 5.0603e-04 eta: 11:03:04 time: 0.4104 data_time: 0.0222 memory: 17006 grad_norm: 11.3458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3877 loss: 1.3877 2022/07/30 07:33:02 - mmengine - INFO - Epoch(train) [155][2260/3757] lr: 5.0603e-04 eta: 11:02:55 time: 0.4122 data_time: 0.0201 memory: 17006 grad_norm: 11.2289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1480 loss: 1.1480 2022/07/30 07:33:10 - mmengine - INFO - Epoch(train) [155][2280/3757] lr: 5.0603e-04 eta: 11:02:47 time: 0.4200 data_time: 0.0225 memory: 17006 grad_norm: 11.1125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1119 loss: 1.1119 2022/07/30 07:33:18 - mmengine - INFO - Epoch(train) [155][2300/3757] lr: 5.0603e-04 eta: 11:02:39 time: 0.4028 data_time: 0.0176 memory: 17006 grad_norm: 11.1047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6262 loss: 1.6262 2022/07/30 07:33:27 - mmengine - INFO - Epoch(train) [155][2320/3757] lr: 5.0603e-04 eta: 11:02:30 time: 0.4233 data_time: 0.0228 memory: 17006 grad_norm: 11.9102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1709 loss: 1.1709 2022/07/30 07:33:35 - mmengine - INFO - Epoch(train) [155][2340/3757] lr: 5.0603e-04 eta: 11:02:22 time: 0.4054 data_time: 0.0186 memory: 17006 grad_norm: 11.3961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1355 loss: 1.1355 2022/07/30 07:33:43 - mmengine - INFO - Epoch(train) [155][2360/3757] lr: 5.0603e-04 eta: 11:02:14 time: 0.4178 data_time: 0.0242 memory: 17006 grad_norm: 11.9714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1497 loss: 1.1497 2022/07/30 07:33:51 - mmengine - INFO - Epoch(train) [155][2380/3757] lr: 5.0603e-04 eta: 11:02:05 time: 0.4134 data_time: 0.0194 memory: 17006 grad_norm: 11.4532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7824 loss: 0.7824 2022/07/30 07:34:00 - mmengine - INFO - Epoch(train) [155][2400/3757] lr: 5.0603e-04 eta: 11:01:57 time: 0.4383 data_time: 0.0238 memory: 17006 grad_norm: 11.7934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4437 loss: 1.4437 2022/07/30 07:34:08 - mmengine - INFO - Epoch(train) [155][2420/3757] lr: 5.0603e-04 eta: 11:01:49 time: 0.4039 data_time: 0.0193 memory: 17006 grad_norm: 11.8819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2012 loss: 1.2012 2022/07/30 07:34:09 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:34:16 - mmengine - INFO - Epoch(train) [155][2440/3757] lr: 5.0603e-04 eta: 11:01:40 time: 0.4071 data_time: 0.0202 memory: 17006 grad_norm: 11.8566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0991 loss: 1.0991 2022/07/30 07:34:25 - mmengine - INFO - Epoch(train) [155][2460/3757] lr: 5.0603e-04 eta: 11:01:32 time: 0.4124 data_time: 0.0203 memory: 17006 grad_norm: 11.1838 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0968 loss: 1.0968 2022/07/30 07:34:33 - mmengine - INFO - Epoch(train) [155][2480/3757] lr: 5.0603e-04 eta: 11:01:23 time: 0.4064 data_time: 0.0208 memory: 17006 grad_norm: 11.9477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0549 loss: 1.0549 2022/07/30 07:34:41 - mmengine - INFO - Epoch(train) [155][2500/3757] lr: 5.0603e-04 eta: 11:01:15 time: 0.4140 data_time: 0.0207 memory: 17006 grad_norm: 11.7276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0921 loss: 1.0921 2022/07/30 07:34:50 - mmengine - INFO - Epoch(train) [155][2520/3757] lr: 5.0603e-04 eta: 11:01:07 time: 0.4264 data_time: 0.0236 memory: 17006 grad_norm: 11.5323 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0415 loss: 1.0415 2022/07/30 07:34:58 - mmengine - INFO - Epoch(train) [155][2540/3757] lr: 5.0603e-04 eta: 11:00:58 time: 0.4042 data_time: 0.0180 memory: 17006 grad_norm: 11.6912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0564 loss: 1.0564 2022/07/30 07:35:06 - mmengine - INFO - Epoch(train) [155][2560/3757] lr: 5.0603e-04 eta: 11:00:50 time: 0.4064 data_time: 0.0205 memory: 17006 grad_norm: 11.1800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0591 loss: 1.0591 2022/07/30 07:35:14 - mmengine - INFO - Epoch(train) [155][2580/3757] lr: 5.0603e-04 eta: 11:00:41 time: 0.4213 data_time: 0.0219 memory: 17006 grad_norm: 11.4746 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1131 loss: 1.1131 2022/07/30 07:35:23 - mmengine - INFO - Epoch(train) [155][2600/3757] lr: 5.0603e-04 eta: 11:00:33 time: 0.4123 data_time: 0.0239 memory: 17006 grad_norm: 11.3114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0793 loss: 1.0793 2022/07/30 07:35:31 - mmengine - INFO - Epoch(train) [155][2620/3757] lr: 5.0603e-04 eta: 11:00:25 time: 0.4222 data_time: 0.0208 memory: 17006 grad_norm: 11.8798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2631 loss: 1.2631 2022/07/30 07:35:39 - mmengine - INFO - Epoch(train) [155][2640/3757] lr: 5.0603e-04 eta: 11:00:16 time: 0.4116 data_time: 0.0244 memory: 17006 grad_norm: 11.1792 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0759 loss: 1.0759 2022/07/30 07:35:48 - mmengine - INFO - Epoch(train) [155][2660/3757] lr: 5.0603e-04 eta: 11:00:08 time: 0.4044 data_time: 0.0188 memory: 17006 grad_norm: 11.5618 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3121 loss: 1.3121 2022/07/30 07:35:56 - mmengine - INFO - Epoch(train) [155][2680/3757] lr: 5.0603e-04 eta: 10:59:59 time: 0.4080 data_time: 0.0205 memory: 17006 grad_norm: 12.4715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2689 loss: 1.2689 2022/07/30 07:36:04 - mmengine - INFO - Epoch(train) [155][2700/3757] lr: 5.0603e-04 eta: 10:59:51 time: 0.4185 data_time: 0.0208 memory: 17006 grad_norm: 12.0804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3009 loss: 1.3009 2022/07/30 07:36:12 - mmengine - INFO - Epoch(train) [155][2720/3757] lr: 5.0603e-04 eta: 10:59:43 time: 0.4093 data_time: 0.0208 memory: 17006 grad_norm: 11.8380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9915 loss: 0.9915 2022/07/30 07:36:21 - mmengine - INFO - Epoch(train) [155][2740/3757] lr: 5.0603e-04 eta: 10:59:34 time: 0.4230 data_time: 0.0212 memory: 17006 grad_norm: 11.5766 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5060 loss: 1.5060 2022/07/30 07:36:29 - mmengine - INFO - Epoch(train) [155][2760/3757] lr: 5.0603e-04 eta: 10:59:26 time: 0.4148 data_time: 0.0213 memory: 17006 grad_norm: 11.4532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1590 loss: 1.1590 2022/07/30 07:36:37 - mmengine - INFO - Epoch(train) [155][2780/3757] lr: 5.0603e-04 eta: 10:59:18 time: 0.4043 data_time: 0.0200 memory: 17006 grad_norm: 11.2442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5426 loss: 1.5426 2022/07/30 07:36:46 - mmengine - INFO - Epoch(train) [155][2800/3757] lr: 5.0603e-04 eta: 10:59:09 time: 0.4121 data_time: 0.0224 memory: 17006 grad_norm: 11.3958 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3469 loss: 1.3469 2022/07/30 07:36:54 - mmengine - INFO - Epoch(train) [155][2820/3757] lr: 5.0603e-04 eta: 10:59:01 time: 0.4207 data_time: 0.0207 memory: 17006 grad_norm: 11.4238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2448 loss: 1.2448 2022/07/30 07:37:02 - mmengine - INFO - Epoch(train) [155][2840/3757] lr: 5.0603e-04 eta: 10:58:53 time: 0.4170 data_time: 0.0233 memory: 17006 grad_norm: 10.8950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0626 loss: 1.0626 2022/07/30 07:37:11 - mmengine - INFO - Epoch(train) [155][2860/3757] lr: 5.0603e-04 eta: 10:58:44 time: 0.4065 data_time: 0.0199 memory: 17006 grad_norm: 11.5538 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3464 loss: 1.3464 2022/07/30 07:37:19 - mmengine - INFO - Epoch(train) [155][2880/3757] lr: 5.0603e-04 eta: 10:58:36 time: 0.4089 data_time: 0.0221 memory: 17006 grad_norm: 12.0507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1254 loss: 1.1254 2022/07/30 07:37:27 - mmengine - INFO - Epoch(train) [155][2900/3757] lr: 5.0603e-04 eta: 10:58:27 time: 0.4154 data_time: 0.0193 memory: 17006 grad_norm: 11.8415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9604 loss: 0.9604 2022/07/30 07:37:35 - mmengine - INFO - Epoch(train) [155][2920/3757] lr: 5.0603e-04 eta: 10:58:19 time: 0.4138 data_time: 0.0209 memory: 17006 grad_norm: 11.7117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/07/30 07:37:44 - mmengine - INFO - Epoch(train) [155][2940/3757] lr: 5.0603e-04 eta: 10:58:11 time: 0.4432 data_time: 0.0218 memory: 17006 grad_norm: 11.6648 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1197 loss: 1.1197 2022/07/30 07:37:53 - mmengine - INFO - Epoch(train) [155][2960/3757] lr: 5.0603e-04 eta: 10:58:03 time: 0.4191 data_time: 0.0226 memory: 17006 grad_norm: 11.5204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/07/30 07:38:01 - mmengine - INFO - Epoch(train) [155][2980/3757] lr: 5.0603e-04 eta: 10:57:54 time: 0.4088 data_time: 0.0200 memory: 17006 grad_norm: 11.1146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2323 loss: 1.2323 2022/07/30 07:38:09 - mmengine - INFO - Epoch(train) [155][3000/3757] lr: 5.0603e-04 eta: 10:57:46 time: 0.4180 data_time: 0.0210 memory: 17006 grad_norm: 11.7647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2395 loss: 1.2395 2022/07/30 07:38:17 - mmengine - INFO - Epoch(train) [155][3020/3757] lr: 5.0603e-04 eta: 10:57:37 time: 0.4046 data_time: 0.0186 memory: 17006 grad_norm: 11.2899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1515 loss: 1.1515 2022/07/30 07:38:26 - mmengine - INFO - Epoch(train) [155][3040/3757] lr: 5.0603e-04 eta: 10:57:29 time: 0.4443 data_time: 0.0217 memory: 17006 grad_norm: 11.0765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1360 loss: 1.1360 2022/07/30 07:38:34 - mmengine - INFO - Epoch(train) [155][3060/3757] lr: 5.0603e-04 eta: 10:57:21 time: 0.4073 data_time: 0.0184 memory: 17006 grad_norm: 11.4497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2114 loss: 1.2114 2022/07/30 07:38:43 - mmengine - INFO - Epoch(train) [155][3080/3757] lr: 5.0603e-04 eta: 10:57:13 time: 0.4474 data_time: 0.0219 memory: 17006 grad_norm: 11.3293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1959 loss: 1.1959 2022/07/30 07:38:52 - mmengine - INFO - Epoch(train) [155][3100/3757] lr: 5.0603e-04 eta: 10:57:04 time: 0.4063 data_time: 0.0205 memory: 17006 grad_norm: 11.5405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5307 loss: 1.5307 2022/07/30 07:39:00 - mmengine - INFO - Epoch(train) [155][3120/3757] lr: 5.0603e-04 eta: 10:56:56 time: 0.4423 data_time: 0.0226 memory: 17006 grad_norm: 11.6446 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0654 loss: 1.0654 2022/07/30 07:39:09 - mmengine - INFO - Epoch(train) [155][3140/3757] lr: 5.0603e-04 eta: 10:56:48 time: 0.4045 data_time: 0.0187 memory: 17006 grad_norm: 11.1378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5487 loss: 1.5487 2022/07/30 07:39:17 - mmengine - INFO - Epoch(train) [155][3160/3757] lr: 5.0603e-04 eta: 10:56:40 time: 0.4147 data_time: 0.0207 memory: 17006 grad_norm: 10.8662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0805 loss: 1.0805 2022/07/30 07:39:26 - mmengine - INFO - Epoch(train) [155][3180/3757] lr: 5.0603e-04 eta: 10:56:32 time: 0.4370 data_time: 0.0211 memory: 17006 grad_norm: 11.3737 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2753 loss: 1.2753 2022/07/30 07:39:34 - mmengine - INFO - Epoch(train) [155][3200/3757] lr: 5.0603e-04 eta: 10:56:23 time: 0.4095 data_time: 0.0214 memory: 17006 grad_norm: 11.5475 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3099 loss: 1.3099 2022/07/30 07:39:42 - mmengine - INFO - Epoch(train) [155][3220/3757] lr: 5.0603e-04 eta: 10:56:15 time: 0.4248 data_time: 0.0219 memory: 17006 grad_norm: 11.2183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3365 loss: 1.3365 2022/07/30 07:39:51 - mmengine - INFO - Epoch(train) [155][3240/3757] lr: 5.0603e-04 eta: 10:56:06 time: 0.4062 data_time: 0.0219 memory: 17006 grad_norm: 11.6143 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0944 loss: 1.0944 2022/07/30 07:39:59 - mmengine - INFO - Epoch(train) [155][3260/3757] lr: 5.0603e-04 eta: 10:55:58 time: 0.4029 data_time: 0.0180 memory: 17006 grad_norm: 11.4873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2504 loss: 1.2504 2022/07/30 07:40:07 - mmengine - INFO - Epoch(train) [155][3280/3757] lr: 5.0603e-04 eta: 10:55:50 time: 0.4371 data_time: 0.0228 memory: 17006 grad_norm: 11.7952 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/07/30 07:40:16 - mmengine - INFO - Epoch(train) [155][3300/3757] lr: 5.0603e-04 eta: 10:55:41 time: 0.4054 data_time: 0.0189 memory: 17006 grad_norm: 11.5484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3069 loss: 1.3069 2022/07/30 07:40:24 - mmengine - INFO - Epoch(train) [155][3320/3757] lr: 5.0603e-04 eta: 10:55:33 time: 0.4395 data_time: 0.0225 memory: 17006 grad_norm: 11.6729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2336 loss: 1.2336 2022/07/30 07:40:33 - mmengine - INFO - Epoch(train) [155][3340/3757] lr: 5.0603e-04 eta: 10:55:25 time: 0.4058 data_time: 0.0187 memory: 17006 grad_norm: 12.0086 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2970 loss: 1.2970 2022/07/30 07:40:41 - mmengine - INFO - Epoch(train) [155][3360/3757] lr: 5.0603e-04 eta: 10:55:16 time: 0.4134 data_time: 0.0225 memory: 17006 grad_norm: 11.5624 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2062 loss: 1.2062 2022/07/30 07:40:49 - mmengine - INFO - Epoch(train) [155][3380/3757] lr: 5.0603e-04 eta: 10:55:08 time: 0.4067 data_time: 0.0197 memory: 17006 grad_norm: 11.9033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6447 loss: 1.6447 2022/07/30 07:40:57 - mmengine - INFO - Epoch(train) [155][3400/3757] lr: 5.0603e-04 eta: 10:55:00 time: 0.4096 data_time: 0.0216 memory: 17006 grad_norm: 11.2657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1929 loss: 1.1929 2022/07/30 07:41:06 - mmengine - INFO - Epoch(train) [155][3420/3757] lr: 5.0603e-04 eta: 10:54:51 time: 0.4289 data_time: 0.0198 memory: 17006 grad_norm: 11.7866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/07/30 07:41:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:41:14 - mmengine - INFO - Epoch(train) [155][3440/3757] lr: 5.0603e-04 eta: 10:54:43 time: 0.4265 data_time: 0.0214 memory: 17006 grad_norm: 11.8855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4069 loss: 1.4069 2022/07/30 07:41:23 - mmengine - INFO - Epoch(train) [155][3460/3757] lr: 5.0603e-04 eta: 10:54:35 time: 0.4343 data_time: 0.0196 memory: 17006 grad_norm: 11.8002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2068 loss: 1.2068 2022/07/30 07:41:31 - mmengine - INFO - Epoch(train) [155][3480/3757] lr: 5.0603e-04 eta: 10:54:27 time: 0.4126 data_time: 0.0223 memory: 17006 grad_norm: 11.6097 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4198 loss: 1.4198 2022/07/30 07:41:40 - mmengine - INFO - Epoch(train) [155][3500/3757] lr: 5.0603e-04 eta: 10:54:18 time: 0.4209 data_time: 0.0212 memory: 17006 grad_norm: 11.7143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2407 loss: 1.2407 2022/07/30 07:41:48 - mmengine - INFO - Epoch(train) [155][3520/3757] lr: 5.0603e-04 eta: 10:54:10 time: 0.4066 data_time: 0.0218 memory: 17006 grad_norm: 11.9491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2997 loss: 1.2997 2022/07/30 07:41:56 - mmengine - INFO - Epoch(train) [155][3540/3757] lr: 5.0603e-04 eta: 10:54:01 time: 0.4064 data_time: 0.0192 memory: 17006 grad_norm: 11.4416 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2846 loss: 1.2846 2022/07/30 07:42:05 - mmengine - INFO - Epoch(train) [155][3560/3757] lr: 5.0603e-04 eta: 10:53:53 time: 0.4207 data_time: 0.0236 memory: 17006 grad_norm: 11.1856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4753 loss: 1.4753 2022/07/30 07:42:13 - mmengine - INFO - Epoch(train) [155][3580/3757] lr: 5.0603e-04 eta: 10:53:45 time: 0.4056 data_time: 0.0198 memory: 17006 grad_norm: 11.7933 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4703 loss: 1.4703 2022/07/30 07:42:21 - mmengine - INFO - Epoch(train) [155][3600/3757] lr: 5.0603e-04 eta: 10:53:36 time: 0.4156 data_time: 0.0227 memory: 17006 grad_norm: 11.9645 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3369 loss: 1.3369 2022/07/30 07:42:29 - mmengine - INFO - Epoch(train) [155][3620/3757] lr: 5.0603e-04 eta: 10:53:28 time: 0.4046 data_time: 0.0195 memory: 17006 grad_norm: 11.9424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3186 loss: 1.3186 2022/07/30 07:42:37 - mmengine - INFO - Epoch(train) [155][3640/3757] lr: 5.0603e-04 eta: 10:53:19 time: 0.4064 data_time: 0.0214 memory: 17006 grad_norm: 11.1065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0277 loss: 1.0277 2022/07/30 07:42:46 - mmengine - INFO - Epoch(train) [155][3660/3757] lr: 5.0603e-04 eta: 10:53:11 time: 0.4360 data_time: 0.0197 memory: 17006 grad_norm: 11.7864 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4691 loss: 1.4691 2022/07/30 07:42:54 - mmengine - INFO - Epoch(train) [155][3680/3757] lr: 5.0603e-04 eta: 10:53:03 time: 0.4143 data_time: 0.0242 memory: 17006 grad_norm: 11.6321 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1527 loss: 1.1527 2022/07/30 07:43:03 - mmengine - INFO - Epoch(train) [155][3700/3757] lr: 5.0603e-04 eta: 10:52:54 time: 0.4126 data_time: 0.0214 memory: 17006 grad_norm: 11.5018 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4987 loss: 1.4987 2022/07/30 07:43:11 - mmengine - INFO - Epoch(train) [155][3720/3757] lr: 5.0603e-04 eta: 10:52:46 time: 0.4250 data_time: 0.0215 memory: 17006 grad_norm: 12.0791 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2908 loss: 1.2908 2022/07/30 07:43:19 - mmengine - INFO - Epoch(train) [155][3740/3757] lr: 5.0603e-04 eta: 10:52:38 time: 0.4078 data_time: 0.0181 memory: 17006 grad_norm: 12.1416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9935 loss: 0.9935 2022/07/30 07:43:26 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:43:26 - mmengine - INFO - Epoch(train) [155][3757/3757] lr: 5.0603e-04 eta: 10:52:38 time: 0.4011 data_time: 0.0205 memory: 17006 grad_norm: 11.8309 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4530 loss: 1.4530 2022/07/30 07:43:26 - mmengine - INFO - Saving checkpoint at 155 epochs 2022/07/30 07:43:42 - mmengine - INFO - Epoch(train) [156][20/3757] lr: 4.6846e-04 eta: 10:52:19 time: 0.4994 data_time: 0.0819 memory: 17006 grad_norm: 10.9666 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8256 loss: 0.8256 2022/07/30 07:43:50 - mmengine - INFO - Epoch(train) [156][40/3757] lr: 4.6846e-04 eta: 10:52:10 time: 0.4076 data_time: 0.0226 memory: 17006 grad_norm: 11.2645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2794 loss: 1.2794 2022/07/30 07:43:58 - mmengine - INFO - Epoch(train) [156][60/3757] lr: 4.6846e-04 eta: 10:52:02 time: 0.4050 data_time: 0.0190 memory: 17006 grad_norm: 10.9887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9691 loss: 0.9691 2022/07/30 07:44:07 - mmengine - INFO - Epoch(train) [156][80/3757] lr: 4.6846e-04 eta: 10:51:54 time: 0.4471 data_time: 0.0217 memory: 17006 grad_norm: 10.9440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3884 loss: 1.3884 2022/07/30 07:44:15 - mmengine - INFO - Epoch(train) [156][100/3757] lr: 4.6846e-04 eta: 10:51:45 time: 0.4041 data_time: 0.0199 memory: 17006 grad_norm: 12.1673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2811 loss: 1.2811 2022/07/30 07:44:24 - mmengine - INFO - Epoch(train) [156][120/3757] lr: 4.6846e-04 eta: 10:51:37 time: 0.4292 data_time: 0.0220 memory: 17006 grad_norm: 11.0688 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7766 loss: 1.7766 2022/07/30 07:44:32 - mmengine - INFO - Epoch(train) [156][140/3757] lr: 4.6846e-04 eta: 10:51:29 time: 0.4039 data_time: 0.0180 memory: 17006 grad_norm: 11.2855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3517 loss: 1.3517 2022/07/30 07:44:41 - mmengine - INFO - Epoch(train) [156][160/3757] lr: 4.6846e-04 eta: 10:51:21 time: 0.4320 data_time: 0.0241 memory: 17006 grad_norm: 11.4761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4810 loss: 1.4810 2022/07/30 07:44:49 - mmengine - INFO - Epoch(train) [156][180/3757] lr: 4.6846e-04 eta: 10:51:12 time: 0.4039 data_time: 0.0186 memory: 17006 grad_norm: 11.9125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3406 loss: 1.3406 2022/07/30 07:44:57 - mmengine - INFO - Epoch(train) [156][200/3757] lr: 4.6846e-04 eta: 10:51:04 time: 0.4062 data_time: 0.0209 memory: 17006 grad_norm: 11.6496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1131 loss: 1.1131 2022/07/30 07:45:05 - mmengine - INFO - Epoch(train) [156][220/3757] lr: 4.6846e-04 eta: 10:50:55 time: 0.4208 data_time: 0.0196 memory: 17006 grad_norm: 11.4036 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4349 loss: 1.4349 2022/07/30 07:45:13 - mmengine - INFO - Epoch(train) [156][240/3757] lr: 4.6846e-04 eta: 10:50:47 time: 0.4086 data_time: 0.0221 memory: 17006 grad_norm: 11.8200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6299 loss: 1.6299 2022/07/30 07:45:22 - mmengine - INFO - Epoch(train) [156][260/3757] lr: 4.6846e-04 eta: 10:50:39 time: 0.4221 data_time: 0.0213 memory: 17006 grad_norm: 11.8039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3987 loss: 1.3987 2022/07/30 07:45:30 - mmengine - INFO - Epoch(train) [156][280/3757] lr: 4.6846e-04 eta: 10:50:30 time: 0.4057 data_time: 0.0211 memory: 17006 grad_norm: 11.3625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4453 loss: 1.4453 2022/07/30 07:45:38 - mmengine - INFO - Epoch(train) [156][300/3757] lr: 4.6846e-04 eta: 10:50:22 time: 0.4047 data_time: 0.0182 memory: 17006 grad_norm: 10.9117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2903 loss: 1.2903 2022/07/30 07:45:47 - mmengine - INFO - Epoch(train) [156][320/3757] lr: 4.6846e-04 eta: 10:50:14 time: 0.4334 data_time: 0.0273 memory: 17006 grad_norm: 11.2123 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1062 loss: 1.1062 2022/07/30 07:45:55 - mmengine - INFO - Epoch(train) [156][340/3757] lr: 4.6846e-04 eta: 10:50:05 time: 0.4051 data_time: 0.0178 memory: 17006 grad_norm: 11.2699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/07/30 07:46:04 - mmengine - INFO - Epoch(train) [156][360/3757] lr: 4.6846e-04 eta: 10:49:57 time: 0.4339 data_time: 0.0230 memory: 17006 grad_norm: 11.8495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2176 loss: 1.2176 2022/07/30 07:46:12 - mmengine - INFO - Epoch(train) [156][380/3757] lr: 4.6846e-04 eta: 10:49:49 time: 0.4051 data_time: 0.0186 memory: 17006 grad_norm: 11.5297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9678 loss: 0.9678 2022/07/30 07:46:20 - mmengine - INFO - Epoch(train) [156][400/3757] lr: 4.6846e-04 eta: 10:49:40 time: 0.4170 data_time: 0.0231 memory: 17006 grad_norm: 11.0026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2394 loss: 1.2394 2022/07/30 07:46:28 - mmengine - INFO - Epoch(train) [156][420/3757] lr: 4.6846e-04 eta: 10:49:32 time: 0.4033 data_time: 0.0177 memory: 17006 grad_norm: 11.1299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/07/30 07:46:37 - mmengine - INFO - Epoch(train) [156][440/3757] lr: 4.6846e-04 eta: 10:49:23 time: 0.4126 data_time: 0.0247 memory: 17006 grad_norm: 12.0792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2112 loss: 1.2112 2022/07/30 07:46:45 - mmengine - INFO - Epoch(train) [156][460/3757] lr: 4.6846e-04 eta: 10:49:15 time: 0.4129 data_time: 0.0180 memory: 17006 grad_norm: 11.5455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0309 loss: 1.0309 2022/07/30 07:46:53 - mmengine - INFO - Epoch(train) [156][480/3757] lr: 4.6846e-04 eta: 10:49:06 time: 0.4099 data_time: 0.0214 memory: 17006 grad_norm: 11.0093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8803 loss: 0.8803 2022/07/30 07:47:01 - mmengine - INFO - Epoch(train) [156][500/3757] lr: 4.6846e-04 eta: 10:48:58 time: 0.4041 data_time: 0.0182 memory: 17006 grad_norm: 11.3983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1463 loss: 1.1463 2022/07/30 07:47:09 - mmengine - INFO - Epoch(train) [156][520/3757] lr: 4.6846e-04 eta: 10:48:50 time: 0.4068 data_time: 0.0219 memory: 17006 grad_norm: 11.3274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9467 loss: 0.9467 2022/07/30 07:47:18 - mmengine - INFO - Epoch(train) [156][540/3757] lr: 4.6846e-04 eta: 10:48:41 time: 0.4149 data_time: 0.0184 memory: 17006 grad_norm: 12.0241 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4025 loss: 1.4025 2022/07/30 07:47:26 - mmengine - INFO - Epoch(train) [156][560/3757] lr: 4.6846e-04 eta: 10:48:33 time: 0.4079 data_time: 0.0218 memory: 17006 grad_norm: 11.8137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1846 loss: 1.1846 2022/07/30 07:47:35 - mmengine - INFO - Epoch(train) [156][580/3757] lr: 4.6846e-04 eta: 10:48:25 time: 0.4472 data_time: 0.0215 memory: 17006 grad_norm: 11.4646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2538 loss: 1.2538 2022/07/30 07:47:43 - mmengine - INFO - Epoch(train) [156][600/3757] lr: 4.6846e-04 eta: 10:48:16 time: 0.4077 data_time: 0.0215 memory: 17006 grad_norm: 10.9484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9911 loss: 0.9911 2022/07/30 07:47:51 - mmengine - INFO - Epoch(train) [156][620/3757] lr: 4.6846e-04 eta: 10:48:08 time: 0.4095 data_time: 0.0209 memory: 17006 grad_norm: 11.3460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3501 loss: 1.3501 2022/07/30 07:47:59 - mmengine - INFO - Epoch(train) [156][640/3757] lr: 4.6846e-04 eta: 10:47:59 time: 0.4077 data_time: 0.0225 memory: 17006 grad_norm: 11.7771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0293 loss: 1.0293 2022/07/30 07:48:08 - mmengine - INFO - Epoch(train) [156][660/3757] lr: 4.6846e-04 eta: 10:47:51 time: 0.4061 data_time: 0.0179 memory: 17006 grad_norm: 11.4113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0995 loss: 1.0995 2022/07/30 07:48:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:48:16 - mmengine - INFO - Epoch(train) [156][680/3757] lr: 4.6846e-04 eta: 10:47:43 time: 0.4315 data_time: 0.0235 memory: 17006 grad_norm: 12.0017 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1720 loss: 1.1720 2022/07/30 07:48:24 - mmengine - INFO - Epoch(train) [156][700/3757] lr: 4.6846e-04 eta: 10:47:34 time: 0.4047 data_time: 0.0189 memory: 17006 grad_norm: 11.4214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1026 loss: 1.1026 2022/07/30 07:48:33 - mmengine - INFO - Epoch(train) [156][720/3757] lr: 4.6846e-04 eta: 10:47:26 time: 0.4124 data_time: 0.0225 memory: 17006 grad_norm: 11.6135 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3442 loss: 1.3442 2022/07/30 07:48:41 - mmengine - INFO - Epoch(train) [156][740/3757] lr: 4.6846e-04 eta: 10:47:17 time: 0.4046 data_time: 0.0191 memory: 17006 grad_norm: 11.2223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9946 loss: 0.9946 2022/07/30 07:48:49 - mmengine - INFO - Epoch(train) [156][760/3757] lr: 4.6846e-04 eta: 10:47:09 time: 0.4115 data_time: 0.0249 memory: 17006 grad_norm: 11.4765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3605 loss: 1.3605 2022/07/30 07:48:57 - mmengine - INFO - Epoch(train) [156][780/3757] lr: 4.6846e-04 eta: 10:47:01 time: 0.4044 data_time: 0.0177 memory: 17006 grad_norm: 11.0893 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2735 loss: 1.2735 2022/07/30 07:49:05 - mmengine - INFO - Epoch(train) [156][800/3757] lr: 4.6846e-04 eta: 10:46:52 time: 0.4099 data_time: 0.0227 memory: 17006 grad_norm: 11.3843 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1376 loss: 1.1376 2022/07/30 07:49:14 - mmengine - INFO - Epoch(train) [156][820/3757] lr: 4.6846e-04 eta: 10:46:44 time: 0.4245 data_time: 0.0178 memory: 17006 grad_norm: 11.2718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9133 loss: 0.9133 2022/07/30 07:49:22 - mmengine - INFO - Epoch(train) [156][840/3757] lr: 4.6846e-04 eta: 10:46:35 time: 0.4114 data_time: 0.0237 memory: 17006 grad_norm: 11.4783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0851 loss: 1.0851 2022/07/30 07:49:30 - mmengine - INFO - Epoch(train) [156][860/3757] lr: 4.6846e-04 eta: 10:46:27 time: 0.4069 data_time: 0.0185 memory: 17006 grad_norm: 11.3296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2239 loss: 1.2239 2022/07/30 07:49:39 - mmengine - INFO - Epoch(train) [156][880/3757] lr: 4.6846e-04 eta: 10:46:19 time: 0.4082 data_time: 0.0210 memory: 17006 grad_norm: 12.0854 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1940 loss: 1.1940 2022/07/30 07:49:47 - mmengine - INFO - Epoch(train) [156][900/3757] lr: 4.6846e-04 eta: 10:46:10 time: 0.4078 data_time: 0.0208 memory: 17006 grad_norm: 11.7167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1052 loss: 1.1052 2022/07/30 07:49:55 - mmengine - INFO - Epoch(train) [156][920/3757] lr: 4.6846e-04 eta: 10:46:02 time: 0.4081 data_time: 0.0217 memory: 17006 grad_norm: 11.6832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0541 loss: 1.0541 2022/07/30 07:50:03 - mmengine - INFO - Epoch(train) [156][940/3757] lr: 4.6846e-04 eta: 10:45:53 time: 0.4062 data_time: 0.0196 memory: 17006 grad_norm: 11.1772 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0910 loss: 1.0910 2022/07/30 07:50:12 - mmengine - INFO - Epoch(train) [156][960/3757] lr: 4.6846e-04 eta: 10:45:45 time: 0.4218 data_time: 0.0208 memory: 17006 grad_norm: 11.5338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/07/30 07:50:20 - mmengine - INFO - Epoch(train) [156][980/3757] lr: 4.6846e-04 eta: 10:45:36 time: 0.4043 data_time: 0.0186 memory: 17006 grad_norm: 11.1955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3566 loss: 1.3566 2022/07/30 07:50:28 - mmengine - INFO - Epoch(train) [156][1000/3757] lr: 4.6846e-04 eta: 10:45:28 time: 0.4072 data_time: 0.0208 memory: 17006 grad_norm: 11.3919 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0993 loss: 1.0993 2022/07/30 07:50:36 - mmengine - INFO - Epoch(train) [156][1020/3757] lr: 4.6846e-04 eta: 10:45:20 time: 0.4074 data_time: 0.0188 memory: 17006 grad_norm: 11.8470 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1875 loss: 1.1875 2022/07/30 07:50:44 - mmengine - INFO - Epoch(train) [156][1040/3757] lr: 4.6846e-04 eta: 10:45:11 time: 0.4187 data_time: 0.0229 memory: 17006 grad_norm: 11.7160 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5593 loss: 1.5593 2022/07/30 07:50:53 - mmengine - INFO - Epoch(train) [156][1060/3757] lr: 4.6846e-04 eta: 10:45:03 time: 0.4051 data_time: 0.0176 memory: 17006 grad_norm: 11.6109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0318 loss: 1.0318 2022/07/30 07:51:01 - mmengine - INFO - Epoch(train) [156][1080/3757] lr: 4.6846e-04 eta: 10:44:54 time: 0.4104 data_time: 0.0229 memory: 17006 grad_norm: 11.8384 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2202 loss: 1.2202 2022/07/30 07:51:09 - mmengine - INFO - Epoch(train) [156][1100/3757] lr: 4.6846e-04 eta: 10:44:46 time: 0.4055 data_time: 0.0187 memory: 17006 grad_norm: 11.3391 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1307 loss: 1.1307 2022/07/30 07:51:17 - mmengine - INFO - Epoch(train) [156][1120/3757] lr: 4.6846e-04 eta: 10:44:37 time: 0.4122 data_time: 0.0216 memory: 17006 grad_norm: 11.7016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2043 loss: 1.2043 2022/07/30 07:51:25 - mmengine - INFO - Epoch(train) [156][1140/3757] lr: 4.6846e-04 eta: 10:44:29 time: 0.4072 data_time: 0.0201 memory: 17006 grad_norm: 12.1682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0935 loss: 1.0935 2022/07/30 07:51:34 - mmengine - INFO - Epoch(train) [156][1160/3757] lr: 4.6846e-04 eta: 10:44:21 time: 0.4464 data_time: 0.0231 memory: 17006 grad_norm: 11.6397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2494 loss: 1.2494 2022/07/30 07:51:43 - mmengine - INFO - Epoch(train) [156][1180/3757] lr: 4.6846e-04 eta: 10:44:13 time: 0.4147 data_time: 0.0194 memory: 17006 grad_norm: 12.2087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2530 loss: 1.2530 2022/07/30 07:51:51 - mmengine - INFO - Epoch(train) [156][1200/3757] lr: 4.6846e-04 eta: 10:44:04 time: 0.4116 data_time: 0.0233 memory: 17006 grad_norm: 11.5847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0437 loss: 1.0437 2022/07/30 07:51:59 - mmengine - INFO - Epoch(train) [156][1220/3757] lr: 4.6846e-04 eta: 10:43:56 time: 0.4060 data_time: 0.0187 memory: 17006 grad_norm: 11.8073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4833 loss: 1.4833 2022/07/30 07:52:07 - mmengine - INFO - Epoch(train) [156][1240/3757] lr: 4.6846e-04 eta: 10:43:47 time: 0.4141 data_time: 0.0234 memory: 17006 grad_norm: 11.7247 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3136 loss: 1.3136 2022/07/30 07:52:16 - mmengine - INFO - Epoch(train) [156][1260/3757] lr: 4.6846e-04 eta: 10:43:39 time: 0.4198 data_time: 0.0198 memory: 17006 grad_norm: 11.6490 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2416 loss: 1.2416 2022/07/30 07:52:24 - mmengine - INFO - Epoch(train) [156][1280/3757] lr: 4.6846e-04 eta: 10:43:31 time: 0.4073 data_time: 0.0218 memory: 17006 grad_norm: 11.4813 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2887 loss: 1.2887 2022/07/30 07:52:32 - mmengine - INFO - Epoch(train) [156][1300/3757] lr: 4.6846e-04 eta: 10:43:22 time: 0.4186 data_time: 0.0220 memory: 17006 grad_norm: 11.2997 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0915 loss: 1.0915 2022/07/30 07:52:40 - mmengine - INFO - Epoch(train) [156][1320/3757] lr: 4.6846e-04 eta: 10:43:14 time: 0.4050 data_time: 0.0209 memory: 17006 grad_norm: 11.4079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4535 loss: 1.4535 2022/07/30 07:52:49 - mmengine - INFO - Epoch(train) [156][1340/3757] lr: 4.6846e-04 eta: 10:43:05 time: 0.4052 data_time: 0.0196 memory: 17006 grad_norm: 11.8739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4035 loss: 1.4035 2022/07/30 07:52:57 - mmengine - INFO - Epoch(train) [156][1360/3757] lr: 4.6846e-04 eta: 10:42:57 time: 0.4138 data_time: 0.0234 memory: 17006 grad_norm: 11.6035 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2893 loss: 1.2893 2022/07/30 07:53:05 - mmengine - INFO - Epoch(train) [156][1380/3757] lr: 4.6846e-04 eta: 10:42:49 time: 0.4069 data_time: 0.0178 memory: 17006 grad_norm: 11.4391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0072 loss: 1.0072 2022/07/30 07:53:14 - mmengine - INFO - Epoch(train) [156][1400/3757] lr: 4.6846e-04 eta: 10:42:41 time: 0.4361 data_time: 0.0249 memory: 17006 grad_norm: 12.3719 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3445 loss: 1.3445 2022/07/30 07:53:23 - mmengine - INFO - Epoch(train) [156][1420/3757] lr: 4.6846e-04 eta: 10:42:32 time: 0.4330 data_time: 0.0175 memory: 17006 grad_norm: 11.8691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4785 loss: 1.4785 2022/07/30 07:53:31 - mmengine - INFO - Epoch(train) [156][1440/3757] lr: 4.6846e-04 eta: 10:42:24 time: 0.4180 data_time: 0.0256 memory: 17006 grad_norm: 11.5712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1503 loss: 1.1503 2022/07/30 07:53:39 - mmengine - INFO - Epoch(train) [156][1460/3757] lr: 4.6846e-04 eta: 10:42:16 time: 0.4045 data_time: 0.0173 memory: 17006 grad_norm: 11.7446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1549 loss: 1.1549 2022/07/30 07:53:47 - mmengine - INFO - Epoch(train) [156][1480/3757] lr: 4.6846e-04 eta: 10:42:07 time: 0.4088 data_time: 0.0219 memory: 17006 grad_norm: 11.7792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1497 loss: 1.1497 2022/07/30 07:53:56 - mmengine - INFO - Epoch(train) [156][1500/3757] lr: 4.6846e-04 eta: 10:41:59 time: 0.4183 data_time: 0.0195 memory: 17006 grad_norm: 10.9519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1089 loss: 1.1089 2022/07/30 07:54:04 - mmengine - INFO - Epoch(train) [156][1520/3757] lr: 4.6846e-04 eta: 10:41:50 time: 0.4104 data_time: 0.0210 memory: 17006 grad_norm: 11.3691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2296 loss: 1.2296 2022/07/30 07:54:12 - mmengine - INFO - Epoch(train) [156][1540/3757] lr: 4.6846e-04 eta: 10:41:42 time: 0.4114 data_time: 0.0206 memory: 17006 grad_norm: 11.3445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2940 loss: 1.2940 2022/07/30 07:54:20 - mmengine - INFO - Epoch(train) [156][1560/3757] lr: 4.6846e-04 eta: 10:41:34 time: 0.4061 data_time: 0.0209 memory: 17006 grad_norm: 11.9727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2724 loss: 1.2724 2022/07/30 07:54:29 - mmengine - INFO - Epoch(train) [156][1580/3757] lr: 4.6846e-04 eta: 10:41:26 time: 0.4433 data_time: 0.0197 memory: 17006 grad_norm: 11.9167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4288 loss: 1.4288 2022/07/30 07:54:37 - mmengine - INFO - Epoch(train) [156][1600/3757] lr: 4.6846e-04 eta: 10:41:17 time: 0.4118 data_time: 0.0229 memory: 17006 grad_norm: 11.0626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9885 loss: 0.9885 2022/07/30 07:54:46 - mmengine - INFO - Epoch(train) [156][1620/3757] lr: 4.6846e-04 eta: 10:41:09 time: 0.4109 data_time: 0.0180 memory: 17006 grad_norm: 11.6072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0585 loss: 1.0585 2022/07/30 07:54:54 - mmengine - INFO - Epoch(train) [156][1640/3757] lr: 4.6846e-04 eta: 10:41:00 time: 0.4230 data_time: 0.0216 memory: 17006 grad_norm: 11.9854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9613 loss: 0.9613 2022/07/30 07:55:02 - mmengine - INFO - Epoch(train) [156][1660/3757] lr: 4.6846e-04 eta: 10:40:52 time: 0.4057 data_time: 0.0182 memory: 17006 grad_norm: 11.7482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4151 loss: 1.4151 2022/07/30 07:55:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 07:55:11 - mmengine - INFO - Epoch(train) [156][1680/3757] lr: 4.6846e-04 eta: 10:40:44 time: 0.4102 data_time: 0.0212 memory: 17006 grad_norm: 11.8315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2098 loss: 1.2098 2022/07/30 07:55:19 - mmengine - INFO - Epoch(train) [156][1700/3757] lr: 4.6846e-04 eta: 10:40:35 time: 0.4128 data_time: 0.0194 memory: 17006 grad_norm: 11.6980 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4703 loss: 1.4703 2022/07/30 07:55:27 - mmengine - INFO - Epoch(train) [156][1720/3757] lr: 4.6846e-04 eta: 10:40:27 time: 0.4267 data_time: 0.0226 memory: 17006 grad_norm: 11.0519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2924 loss: 1.2924 2022/07/30 07:55:36 - mmengine - INFO - Epoch(train) [156][1740/3757] lr: 4.6846e-04 eta: 10:40:19 time: 0.4136 data_time: 0.0202 memory: 17006 grad_norm: 12.2152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3521 loss: 1.3521 2022/07/30 07:55:44 - mmengine - INFO - Epoch(train) [156][1760/3757] lr: 4.6846e-04 eta: 10:40:10 time: 0.4235 data_time: 0.0221 memory: 17006 grad_norm: 11.2302 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2763 loss: 1.2763 2022/07/30 07:55:53 - mmengine - INFO - Epoch(train) [156][1780/3757] lr: 4.6846e-04 eta: 10:40:02 time: 0.4165 data_time: 0.0184 memory: 17006 grad_norm: 11.5299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4350 loss: 1.4350 2022/07/30 07:56:01 - mmengine - INFO - Epoch(train) [156][1800/3757] lr: 4.6846e-04 eta: 10:39:54 time: 0.4106 data_time: 0.0216 memory: 17006 grad_norm: 11.3087 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1981 loss: 1.1981 2022/07/30 07:56:09 - mmengine - INFO - Epoch(train) [156][1820/3757] lr: 4.6846e-04 eta: 10:39:45 time: 0.4048 data_time: 0.0189 memory: 17006 grad_norm: 11.4083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2568 loss: 1.2568 2022/07/30 07:56:18 - mmengine - INFO - Epoch(train) [156][1840/3757] lr: 4.6846e-04 eta: 10:39:37 time: 0.4373 data_time: 0.0218 memory: 17006 grad_norm: 11.8628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2552 loss: 1.2552 2022/07/30 07:56:26 - mmengine - INFO - Epoch(train) [156][1860/3757] lr: 4.6846e-04 eta: 10:39:29 time: 0.4056 data_time: 0.0179 memory: 17006 grad_norm: 11.2445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2178 loss: 1.2178 2022/07/30 07:56:35 - mmengine - INFO - Epoch(train) [156][1880/3757] lr: 4.6846e-04 eta: 10:39:21 time: 0.4740 data_time: 0.0252 memory: 17006 grad_norm: 12.1404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3003 loss: 1.3003 2022/07/30 07:56:43 - mmengine - INFO - Epoch(train) [156][1900/3757] lr: 4.6846e-04 eta: 10:39:12 time: 0.4056 data_time: 0.0187 memory: 17006 grad_norm: 10.9812 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0551 loss: 1.0551 2022/07/30 07:56:52 - mmengine - INFO - Epoch(train) [156][1920/3757] lr: 4.6846e-04 eta: 10:39:04 time: 0.4244 data_time: 0.0215 memory: 17006 grad_norm: 11.3043 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1711 loss: 1.1711 2022/07/30 07:57:00 - mmengine - INFO - Epoch(train) [156][1940/3757] lr: 4.6846e-04 eta: 10:38:56 time: 0.4061 data_time: 0.0190 memory: 17006 grad_norm: 11.7733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/07/30 07:57:08 - mmengine - INFO - Epoch(train) [156][1960/3757] lr: 4.6846e-04 eta: 10:38:47 time: 0.4060 data_time: 0.0214 memory: 17006 grad_norm: 11.3584 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1744 loss: 1.1744 2022/07/30 07:57:17 - mmengine - INFO - Epoch(train) [156][1980/3757] lr: 4.6846e-04 eta: 10:38:39 time: 0.4287 data_time: 0.0220 memory: 17006 grad_norm: 11.8278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2470 loss: 1.2470 2022/07/30 07:57:25 - mmengine - INFO - Epoch(train) [156][2000/3757] lr: 4.6846e-04 eta: 10:38:31 time: 0.4094 data_time: 0.0216 memory: 17006 grad_norm: 11.7320 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4566 loss: 1.4566 2022/07/30 07:57:33 - mmengine - INFO - Epoch(train) [156][2020/3757] lr: 4.6846e-04 eta: 10:38:22 time: 0.4130 data_time: 0.0203 memory: 17006 grad_norm: 11.7357 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/07/30 07:57:42 - mmengine - INFO - Epoch(train) [156][2040/3757] lr: 4.6846e-04 eta: 10:38:14 time: 0.4067 data_time: 0.0214 memory: 17006 grad_norm: 11.2827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1683 loss: 1.1683 2022/07/30 07:57:50 - mmengine - INFO - Epoch(train) [156][2060/3757] lr: 4.6846e-04 eta: 10:38:05 time: 0.4048 data_time: 0.0188 memory: 17006 grad_norm: 12.0574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2649 loss: 1.2649 2022/07/30 07:57:58 - mmengine - INFO - Epoch(train) [156][2080/3757] lr: 4.6846e-04 eta: 10:37:57 time: 0.4256 data_time: 0.0241 memory: 17006 grad_norm: 11.2304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1964 loss: 1.1964 2022/07/30 07:58:06 - mmengine - INFO - Epoch(train) [156][2100/3757] lr: 4.6846e-04 eta: 10:37:49 time: 0.4053 data_time: 0.0187 memory: 17006 grad_norm: 12.0600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5216 loss: 1.5216 2022/07/30 07:58:15 - mmengine - INFO - Epoch(train) [156][2120/3757] lr: 4.6846e-04 eta: 10:37:41 time: 0.4496 data_time: 0.0247 memory: 17006 grad_norm: 12.2289 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/07/30 07:58:24 - mmengine - INFO - Epoch(train) [156][2140/3757] lr: 4.6846e-04 eta: 10:37:32 time: 0.4058 data_time: 0.0198 memory: 17006 grad_norm: 11.1811 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8564 loss: 0.8564 2022/07/30 07:58:32 - mmengine - INFO - Epoch(train) [156][2160/3757] lr: 4.6846e-04 eta: 10:37:24 time: 0.4360 data_time: 0.0243 memory: 17006 grad_norm: 11.5826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/07/30 07:58:40 - mmengine - INFO - Epoch(train) [156][2180/3757] lr: 4.6846e-04 eta: 10:37:16 time: 0.4052 data_time: 0.0187 memory: 17006 grad_norm: 11.4707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1197 loss: 1.1197 2022/07/30 07:58:49 - mmengine - INFO - Epoch(train) [156][2200/3757] lr: 4.6846e-04 eta: 10:37:07 time: 0.4079 data_time: 0.0220 memory: 17006 grad_norm: 11.7151 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3454 loss: 1.3454 2022/07/30 07:58:57 - mmengine - INFO - Epoch(train) [156][2220/3757] lr: 4.6846e-04 eta: 10:36:59 time: 0.4379 data_time: 0.0219 memory: 17006 grad_norm: 11.0748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1833 loss: 1.1833 2022/07/30 07:59:06 - mmengine - INFO - Epoch(train) [156][2240/3757] lr: 4.6846e-04 eta: 10:36:51 time: 0.4077 data_time: 0.0215 memory: 17006 grad_norm: 12.2802 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2221 loss: 1.2221 2022/07/30 07:59:14 - mmengine - INFO - Epoch(train) [156][2260/3757] lr: 4.6846e-04 eta: 10:36:42 time: 0.4194 data_time: 0.0197 memory: 17006 grad_norm: 11.9735 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0991 loss: 1.0991 2022/07/30 07:59:22 - mmengine - INFO - Epoch(train) [156][2280/3757] lr: 4.6846e-04 eta: 10:36:34 time: 0.4062 data_time: 0.0212 memory: 17006 grad_norm: 11.7481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/07/30 07:59:30 - mmengine - INFO - Epoch(train) [156][2300/3757] lr: 4.6846e-04 eta: 10:36:26 time: 0.4095 data_time: 0.0200 memory: 17006 grad_norm: 11.9539 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4337 loss: 1.4337 2022/07/30 07:59:39 - mmengine - INFO - Epoch(train) [156][2320/3757] lr: 4.6846e-04 eta: 10:36:17 time: 0.4086 data_time: 0.0207 memory: 17006 grad_norm: 11.4403 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1142 loss: 1.1142 2022/07/30 07:59:47 - mmengine - INFO - Epoch(train) [156][2340/3757] lr: 4.6846e-04 eta: 10:36:09 time: 0.4101 data_time: 0.0202 memory: 17006 grad_norm: 11.5662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4265 loss: 1.4265 2022/07/30 07:59:55 - mmengine - INFO - Epoch(train) [156][2360/3757] lr: 4.6846e-04 eta: 10:36:00 time: 0.4073 data_time: 0.0222 memory: 17006 grad_norm: 11.3168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1316 loss: 1.1316 2022/07/30 08:00:03 - mmengine - INFO - Epoch(train) [156][2380/3757] lr: 4.6846e-04 eta: 10:35:52 time: 0.4185 data_time: 0.0196 memory: 17006 grad_norm: 11.3854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1085 loss: 1.1085 2022/07/30 08:00:12 - mmengine - INFO - Epoch(train) [156][2400/3757] lr: 4.6846e-04 eta: 10:35:44 time: 0.4182 data_time: 0.0210 memory: 17006 grad_norm: 11.2541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2164 loss: 1.2164 2022/07/30 08:00:20 - mmengine - INFO - Epoch(train) [156][2420/3757] lr: 4.6846e-04 eta: 10:35:35 time: 0.4055 data_time: 0.0183 memory: 17006 grad_norm: 11.7434 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1828 loss: 1.1828 2022/07/30 08:00:28 - mmengine - INFO - Epoch(train) [156][2440/3757] lr: 4.6846e-04 eta: 10:35:27 time: 0.4196 data_time: 0.0197 memory: 17006 grad_norm: 11.5473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2831 loss: 1.2831 2022/07/30 08:00:36 - mmengine - INFO - Epoch(train) [156][2460/3757] lr: 4.6846e-04 eta: 10:35:18 time: 0.4082 data_time: 0.0181 memory: 17006 grad_norm: 11.9578 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3887 loss: 1.3887 2022/07/30 08:00:45 - mmengine - INFO - Epoch(train) [156][2480/3757] lr: 4.6846e-04 eta: 10:35:10 time: 0.4356 data_time: 0.0234 memory: 17006 grad_norm: 11.1404 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3808 loss: 1.3808 2022/07/30 08:00:53 - mmengine - INFO - Epoch(train) [156][2500/3757] lr: 4.6846e-04 eta: 10:35:02 time: 0.4047 data_time: 0.0189 memory: 17006 grad_norm: 11.4396 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4059 loss: 1.4059 2022/07/30 08:01:02 - mmengine - INFO - Epoch(train) [156][2520/3757] lr: 4.6846e-04 eta: 10:34:54 time: 0.4300 data_time: 0.0224 memory: 17006 grad_norm: 11.8815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2128 loss: 1.2128 2022/07/30 08:01:10 - mmengine - INFO - Epoch(train) [156][2540/3757] lr: 4.6846e-04 eta: 10:34:45 time: 0.4042 data_time: 0.0184 memory: 17006 grad_norm: 11.7868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/07/30 08:01:18 - mmengine - INFO - Epoch(train) [156][2560/3757] lr: 4.6846e-04 eta: 10:34:37 time: 0.4066 data_time: 0.0213 memory: 17006 grad_norm: 11.5916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6504 loss: 1.6504 2022/07/30 08:01:27 - mmengine - INFO - Epoch(train) [156][2580/3757] lr: 4.6846e-04 eta: 10:34:29 time: 0.4421 data_time: 0.0219 memory: 17006 grad_norm: 12.1766 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2362 loss: 1.2362 2022/07/30 08:01:35 - mmengine - INFO - Epoch(train) [156][2600/3757] lr: 4.6846e-04 eta: 10:34:20 time: 0.4075 data_time: 0.0210 memory: 17006 grad_norm: 12.0492 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2395 loss: 1.2395 2022/07/30 08:01:44 - mmengine - INFO - Epoch(train) [156][2620/3757] lr: 4.6846e-04 eta: 10:34:12 time: 0.4382 data_time: 0.0224 memory: 17006 grad_norm: 11.6261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/07/30 08:01:52 - mmengine - INFO - Epoch(train) [156][2640/3757] lr: 4.6846e-04 eta: 10:34:04 time: 0.4062 data_time: 0.0213 memory: 17006 grad_norm: 11.2216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2137 loss: 1.2137 2022/07/30 08:02:00 - mmengine - INFO - Epoch(train) [156][2660/3757] lr: 4.6846e-04 eta: 10:33:55 time: 0.4059 data_time: 0.0183 memory: 17006 grad_norm: 11.4150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2784 loss: 1.2784 2022/07/30 08:02:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:02:09 - mmengine - INFO - Epoch(train) [156][2680/3757] lr: 4.6846e-04 eta: 10:33:47 time: 0.4157 data_time: 0.0220 memory: 17006 grad_norm: 11.7664 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1623 loss: 1.1623 2022/07/30 08:02:17 - mmengine - INFO - Epoch(train) [156][2700/3757] lr: 4.6846e-04 eta: 10:33:38 time: 0.4058 data_time: 0.0187 memory: 17006 grad_norm: 11.6015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3107 loss: 1.3107 2022/07/30 08:02:26 - mmengine - INFO - Epoch(train) [156][2720/3757] lr: 4.6846e-04 eta: 10:33:31 time: 0.4704 data_time: 0.0228 memory: 17006 grad_norm: 11.6609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2635 loss: 1.2635 2022/07/30 08:02:35 - mmengine - INFO - Epoch(train) [156][2740/3757] lr: 4.6846e-04 eta: 10:33:22 time: 0.4054 data_time: 0.0212 memory: 17006 grad_norm: 11.5257 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1800 loss: 1.1800 2022/07/30 08:02:44 - mmengine - INFO - Epoch(train) [156][2760/3757] lr: 4.6846e-04 eta: 10:33:15 time: 0.4771 data_time: 0.0344 memory: 17006 grad_norm: 12.2916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3024 loss: 1.3024 2022/07/30 08:02:52 - mmengine - INFO - Epoch(train) [156][2780/3757] lr: 4.6846e-04 eta: 10:33:06 time: 0.4057 data_time: 0.0182 memory: 17006 grad_norm: 10.9461 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0087 loss: 1.0087 2022/07/30 08:03:00 - mmengine - INFO - Epoch(train) [156][2800/3757] lr: 4.6846e-04 eta: 10:32:58 time: 0.4064 data_time: 0.0215 memory: 17006 grad_norm: 10.9219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0459 loss: 1.0459 2022/07/30 08:03:09 - mmengine - INFO - Epoch(train) [156][2820/3757] lr: 4.6846e-04 eta: 10:32:50 time: 0.4470 data_time: 0.0217 memory: 17006 grad_norm: 12.1564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3842 loss: 1.3842 2022/07/30 08:03:17 - mmengine - INFO - Epoch(train) [156][2840/3757] lr: 4.6846e-04 eta: 10:32:41 time: 0.4075 data_time: 0.0224 memory: 17006 grad_norm: 11.3024 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4174 loss: 1.4174 2022/07/30 08:03:26 - mmengine - INFO - Epoch(train) [156][2860/3757] lr: 4.6846e-04 eta: 10:32:33 time: 0.4469 data_time: 0.0217 memory: 17006 grad_norm: 11.6640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1686 loss: 1.1686 2022/07/30 08:03:35 - mmengine - INFO - Epoch(train) [156][2880/3757] lr: 4.6846e-04 eta: 10:32:25 time: 0.4087 data_time: 0.0230 memory: 17006 grad_norm: 11.8859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1183 loss: 1.1183 2022/07/30 08:03:43 - mmengine - INFO - Epoch(train) [156][2900/3757] lr: 4.6846e-04 eta: 10:32:16 time: 0.4152 data_time: 0.0219 memory: 17006 grad_norm: 11.1950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3659 loss: 1.3659 2022/07/30 08:03:51 - mmengine - INFO - Epoch(train) [156][2920/3757] lr: 4.6846e-04 eta: 10:32:08 time: 0.4080 data_time: 0.0212 memory: 17006 grad_norm: 11.5831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3105 loss: 1.3105 2022/07/30 08:04:00 - mmengine - INFO - Epoch(train) [156][2940/3757] lr: 4.6846e-04 eta: 10:32:00 time: 0.4198 data_time: 0.0198 memory: 17006 grad_norm: 11.5049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2880 loss: 1.2880 2022/07/30 08:04:08 - mmengine - INFO - Epoch(train) [156][2960/3757] lr: 4.6846e-04 eta: 10:31:51 time: 0.4201 data_time: 0.0235 memory: 17006 grad_norm: 12.0265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4627 loss: 1.4627 2022/07/30 08:04:17 - mmengine - INFO - Epoch(train) [156][2980/3757] lr: 4.6846e-04 eta: 10:31:43 time: 0.4359 data_time: 0.0185 memory: 17006 grad_norm: 11.9577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1080 loss: 1.1080 2022/07/30 08:04:25 - mmengine - INFO - Epoch(train) [156][3000/3757] lr: 4.6846e-04 eta: 10:31:35 time: 0.4272 data_time: 0.0244 memory: 17006 grad_norm: 11.8937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1435 loss: 1.1435 2022/07/30 08:04:34 - mmengine - INFO - Epoch(train) [156][3020/3757] lr: 4.6846e-04 eta: 10:31:27 time: 0.4105 data_time: 0.0187 memory: 17006 grad_norm: 11.7582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3936 loss: 1.3936 2022/07/30 08:04:42 - mmengine - INFO - Epoch(train) [156][3040/3757] lr: 4.6846e-04 eta: 10:31:19 time: 0.4328 data_time: 0.0246 memory: 17006 grad_norm: 11.7392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1253 loss: 1.1253 2022/07/30 08:04:50 - mmengine - INFO - Epoch(train) [156][3060/3757] lr: 4.6846e-04 eta: 10:31:10 time: 0.4041 data_time: 0.0175 memory: 17006 grad_norm: 11.7498 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1700 loss: 1.1700 2022/07/30 08:04:59 - mmengine - INFO - Epoch(train) [156][3080/3757] lr: 4.6846e-04 eta: 10:31:02 time: 0.4059 data_time: 0.0207 memory: 17006 grad_norm: 11.7962 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4429 loss: 1.4429 2022/07/30 08:05:07 - mmengine - INFO - Epoch(train) [156][3100/3757] lr: 4.6846e-04 eta: 10:30:53 time: 0.4168 data_time: 0.0213 memory: 17006 grad_norm: 12.0491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1199 loss: 1.1199 2022/07/30 08:05:15 - mmengine - INFO - Epoch(train) [156][3120/3757] lr: 4.6846e-04 eta: 10:30:45 time: 0.4066 data_time: 0.0214 memory: 17006 grad_norm: 12.1818 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9190 loss: 0.9190 2022/07/30 08:05:23 - mmengine - INFO - Epoch(train) [156][3140/3757] lr: 4.6846e-04 eta: 10:30:37 time: 0.4204 data_time: 0.0225 memory: 17006 grad_norm: 11.6979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3080 loss: 1.3080 2022/07/30 08:05:32 - mmengine - INFO - Epoch(train) [156][3160/3757] lr: 4.6846e-04 eta: 10:30:28 time: 0.4242 data_time: 0.0212 memory: 17006 grad_norm: 11.6189 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1535 loss: 1.1535 2022/07/30 08:05:40 - mmengine - INFO - Epoch(train) [156][3180/3757] lr: 4.6846e-04 eta: 10:30:20 time: 0.4047 data_time: 0.0183 memory: 17006 grad_norm: 12.1039 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0591 loss: 1.0591 2022/07/30 08:05:49 - mmengine - INFO - Epoch(train) [156][3200/3757] lr: 4.6846e-04 eta: 10:30:12 time: 0.4349 data_time: 0.0254 memory: 17006 grad_norm: 11.7270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2432 loss: 1.2432 2022/07/30 08:05:57 - mmengine - INFO - Epoch(train) [156][3220/3757] lr: 4.6846e-04 eta: 10:30:03 time: 0.4048 data_time: 0.0191 memory: 17006 grad_norm: 11.9738 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1388 loss: 1.1388 2022/07/30 08:06:06 - mmengine - INFO - Epoch(train) [156][3240/3757] lr: 4.6846e-04 eta: 10:29:55 time: 0.4376 data_time: 0.0232 memory: 17006 grad_norm: 11.5152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1805 loss: 1.1805 2022/07/30 08:06:14 - mmengine - INFO - Epoch(train) [156][3260/3757] lr: 4.6846e-04 eta: 10:29:47 time: 0.4053 data_time: 0.0189 memory: 17006 grad_norm: 11.9030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/07/30 08:06:22 - mmengine - INFO - Epoch(train) [156][3280/3757] lr: 4.6846e-04 eta: 10:29:38 time: 0.4225 data_time: 0.0237 memory: 17006 grad_norm: 11.4648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0064 loss: 1.0064 2022/07/30 08:06:31 - mmengine - INFO - Epoch(train) [156][3300/3757] lr: 4.6846e-04 eta: 10:29:30 time: 0.4052 data_time: 0.0193 memory: 17006 grad_norm: 11.9893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2322 loss: 1.2322 2022/07/30 08:06:39 - mmengine - INFO - Epoch(train) [156][3320/3757] lr: 4.6846e-04 eta: 10:29:21 time: 0.4080 data_time: 0.0214 memory: 17006 grad_norm: 12.0560 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3954 loss: 1.3954 2022/07/30 08:06:47 - mmengine - INFO - Epoch(train) [156][3340/3757] lr: 4.6846e-04 eta: 10:29:13 time: 0.4137 data_time: 0.0198 memory: 17006 grad_norm: 12.1615 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4207 loss: 1.4207 2022/07/30 08:06:55 - mmengine - INFO - Epoch(train) [156][3360/3757] lr: 4.6846e-04 eta: 10:29:05 time: 0.4130 data_time: 0.0227 memory: 17006 grad_norm: 11.9176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5496 loss: 1.5496 2022/07/30 08:07:04 - mmengine - INFO - Epoch(train) [156][3380/3757] lr: 4.6846e-04 eta: 10:28:56 time: 0.4228 data_time: 0.0200 memory: 17006 grad_norm: 11.5786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1074 loss: 1.1074 2022/07/30 08:07:12 - mmengine - INFO - Epoch(train) [156][3400/3757] lr: 4.6846e-04 eta: 10:28:48 time: 0.4072 data_time: 0.0218 memory: 17006 grad_norm: 11.8898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3368 loss: 1.3368 2022/07/30 08:07:20 - mmengine - INFO - Epoch(train) [156][3420/3757] lr: 4.6846e-04 eta: 10:28:40 time: 0.4048 data_time: 0.0180 memory: 17006 grad_norm: 12.2871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1921 loss: 1.1921 2022/07/30 08:07:29 - mmengine - INFO - Epoch(train) [156][3440/3757] lr: 4.6846e-04 eta: 10:28:31 time: 0.4225 data_time: 0.0235 memory: 17006 grad_norm: 11.3404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4029 loss: 1.4029 2022/07/30 08:07:37 - mmengine - INFO - Epoch(train) [156][3460/3757] lr: 4.6846e-04 eta: 10:28:23 time: 0.4055 data_time: 0.0197 memory: 17006 grad_norm: 11.4198 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2704 loss: 1.2704 2022/07/30 08:07:45 - mmengine - INFO - Epoch(train) [156][3480/3757] lr: 4.6846e-04 eta: 10:28:15 time: 0.4230 data_time: 0.0232 memory: 17006 grad_norm: 11.7609 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1779 loss: 1.1779 2022/07/30 08:07:53 - mmengine - INFO - Epoch(train) [156][3500/3757] lr: 4.6846e-04 eta: 10:28:06 time: 0.4059 data_time: 0.0190 memory: 17006 grad_norm: 11.9045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/07/30 08:08:01 - mmengine - INFO - Epoch(train) [156][3520/3757] lr: 4.6846e-04 eta: 10:27:58 time: 0.4063 data_time: 0.0219 memory: 17006 grad_norm: 12.2097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2901 loss: 1.2901 2022/07/30 08:08:10 - mmengine - INFO - Epoch(train) [156][3540/3757] lr: 4.6846e-04 eta: 10:27:50 time: 0.4366 data_time: 0.0190 memory: 17006 grad_norm: 11.9742 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2171 loss: 1.2171 2022/07/30 08:08:18 - mmengine - INFO - Epoch(train) [156][3560/3757] lr: 4.6846e-04 eta: 10:27:41 time: 0.4087 data_time: 0.0230 memory: 17006 grad_norm: 11.3033 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6598 loss: 1.6598 2022/07/30 08:08:27 - mmengine - INFO - Epoch(train) [156][3580/3757] lr: 4.6846e-04 eta: 10:27:33 time: 0.4175 data_time: 0.0196 memory: 17006 grad_norm: 11.3260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1641 loss: 1.1641 2022/07/30 08:08:35 - mmengine - INFO - Epoch(train) [156][3600/3757] lr: 4.6846e-04 eta: 10:27:24 time: 0.4116 data_time: 0.0234 memory: 17006 grad_norm: 11.2507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0949 loss: 1.0949 2022/07/30 08:08:43 - mmengine - INFO - Epoch(train) [156][3620/3757] lr: 4.6846e-04 eta: 10:27:16 time: 0.4128 data_time: 0.0174 memory: 17006 grad_norm: 11.7358 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4228 loss: 1.4228 2022/07/30 08:08:52 - mmengine - INFO - Epoch(train) [156][3640/3757] lr: 4.6846e-04 eta: 10:27:08 time: 0.4069 data_time: 0.0216 memory: 17006 grad_norm: 12.0640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3154 loss: 1.3154 2022/07/30 08:09:00 - mmengine - INFO - Epoch(train) [156][3660/3757] lr: 4.6846e-04 eta: 10:26:59 time: 0.4102 data_time: 0.0181 memory: 17006 grad_norm: 11.0918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2336 loss: 1.2336 2022/07/30 08:09:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:09:08 - mmengine - INFO - Epoch(train) [156][3680/3757] lr: 4.6846e-04 eta: 10:26:51 time: 0.4178 data_time: 0.0228 memory: 17006 grad_norm: 11.5358 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3206 loss: 1.3206 2022/07/30 08:09:17 - mmengine - INFO - Epoch(train) [156][3700/3757] lr: 4.6846e-04 eta: 10:26:42 time: 0.4196 data_time: 0.0193 memory: 17006 grad_norm: 11.2719 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0638 loss: 1.0638 2022/07/30 08:09:25 - mmengine - INFO - Epoch(train) [156][3720/3757] lr: 4.6846e-04 eta: 10:26:34 time: 0.4265 data_time: 0.0228 memory: 17006 grad_norm: 11.9247 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4536 loss: 1.4536 2022/07/30 08:09:33 - mmengine - INFO - Epoch(train) [156][3740/3757] lr: 4.6846e-04 eta: 10:26:26 time: 0.4158 data_time: 0.0191 memory: 17006 grad_norm: 11.0650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/07/30 08:09:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:09:40 - mmengine - INFO - Epoch(train) [156][3757/3757] lr: 4.6846e-04 eta: 10:26:26 time: 0.3974 data_time: 0.0207 memory: 17006 grad_norm: 11.2584 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2458 loss: 1.2458 2022/07/30 08:09:40 - mmengine - INFO - Saving checkpoint at 156 epochs 2022/07/30 08:09:54 - mmengine - INFO - Epoch(train) [157][20/3757] lr: 4.3227e-04 eta: 10:26:07 time: 0.4511 data_time: 0.0647 memory: 17006 grad_norm: 10.9819 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/07/30 08:10:02 - mmengine - INFO - Epoch(train) [157][40/3757] lr: 4.3227e-04 eta: 10:25:58 time: 0.4079 data_time: 0.0224 memory: 17006 grad_norm: 12.2390 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4509 loss: 1.4509 2022/07/30 08:10:10 - mmengine - INFO - Epoch(train) [157][60/3757] lr: 4.3227e-04 eta: 10:25:50 time: 0.4096 data_time: 0.0205 memory: 17006 grad_norm: 10.9895 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1076 loss: 1.1076 2022/07/30 08:10:19 - mmengine - INFO - Epoch(train) [157][80/3757] lr: 4.3227e-04 eta: 10:25:42 time: 0.4344 data_time: 0.0201 memory: 17006 grad_norm: 11.5019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2831 loss: 1.2831 2022/07/30 08:10:27 - mmengine - INFO - Epoch(train) [157][100/3757] lr: 4.3227e-04 eta: 10:25:33 time: 0.4153 data_time: 0.0234 memory: 17006 grad_norm: 11.5365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1965 loss: 1.1965 2022/07/30 08:10:35 - mmengine - INFO - Epoch(train) [157][120/3757] lr: 4.3227e-04 eta: 10:25:25 time: 0.4057 data_time: 0.0203 memory: 17006 grad_norm: 11.3814 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2420 loss: 1.2420 2022/07/30 08:10:44 - mmengine - INFO - Epoch(train) [157][140/3757] lr: 4.3227e-04 eta: 10:25:16 time: 0.4132 data_time: 0.0227 memory: 17006 grad_norm: 11.3546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2473 loss: 1.2473 2022/07/30 08:10:52 - mmengine - INFO - Epoch(train) [157][160/3757] lr: 4.3227e-04 eta: 10:25:08 time: 0.4049 data_time: 0.0206 memory: 17006 grad_norm: 11.7058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4575 loss: 1.4575 2022/07/30 08:11:00 - mmengine - INFO - Epoch(train) [157][180/3757] lr: 4.3227e-04 eta: 10:25:00 time: 0.4055 data_time: 0.0218 memory: 17006 grad_norm: 11.5918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1816 loss: 1.1816 2022/07/30 08:11:08 - mmengine - INFO - Epoch(train) [157][200/3757] lr: 4.3227e-04 eta: 10:24:51 time: 0.4195 data_time: 0.0235 memory: 17006 grad_norm: 11.5043 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4048 loss: 1.4048 2022/07/30 08:11:17 - mmengine - INFO - Epoch(train) [157][220/3757] lr: 4.3227e-04 eta: 10:24:43 time: 0.4089 data_time: 0.0210 memory: 17006 grad_norm: 10.8885 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0281 loss: 1.0281 2022/07/30 08:11:25 - mmengine - INFO - Epoch(train) [157][240/3757] lr: 4.3227e-04 eta: 10:24:35 time: 0.4384 data_time: 0.0272 memory: 17006 grad_norm: 11.1927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/07/30 08:11:34 - mmengine - INFO - Epoch(train) [157][260/3757] lr: 4.3227e-04 eta: 10:24:27 time: 0.4318 data_time: 0.0212 memory: 17006 grad_norm: 11.9530 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4178 loss: 1.4178 2022/07/30 08:11:42 - mmengine - INFO - Epoch(train) [157][280/3757] lr: 4.3227e-04 eta: 10:24:18 time: 0.4162 data_time: 0.0206 memory: 17006 grad_norm: 11.5951 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3161 loss: 1.3161 2022/07/30 08:11:51 - mmengine - INFO - Epoch(train) [157][300/3757] lr: 4.3227e-04 eta: 10:24:10 time: 0.4078 data_time: 0.0200 memory: 17006 grad_norm: 11.8996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2056 loss: 1.2056 2022/07/30 08:12:00 - mmengine - INFO - Epoch(train) [157][320/3757] lr: 4.3227e-04 eta: 10:24:02 time: 0.4503 data_time: 0.0214 memory: 17006 grad_norm: 11.8071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0823 loss: 1.0823 2022/07/30 08:12:08 - mmengine - INFO - Epoch(train) [157][340/3757] lr: 4.3227e-04 eta: 10:23:53 time: 0.4138 data_time: 0.0235 memory: 17006 grad_norm: 12.1682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9087 loss: 0.9087 2022/07/30 08:12:16 - mmengine - INFO - Epoch(train) [157][360/3757] lr: 4.3227e-04 eta: 10:23:45 time: 0.4107 data_time: 0.0230 memory: 17006 grad_norm: 11.3529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1089 loss: 1.1089 2022/07/30 08:12:25 - mmengine - INFO - Epoch(train) [157][380/3757] lr: 4.3227e-04 eta: 10:23:37 time: 0.4192 data_time: 0.0223 memory: 17006 grad_norm: 11.9785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3676 loss: 1.3676 2022/07/30 08:12:33 - mmengine - INFO - Epoch(train) [157][400/3757] lr: 4.3227e-04 eta: 10:23:28 time: 0.4060 data_time: 0.0214 memory: 17006 grad_norm: 11.4696 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0949 loss: 1.0949 2022/07/30 08:12:41 - mmengine - INFO - Epoch(train) [157][420/3757] lr: 4.3227e-04 eta: 10:23:20 time: 0.4070 data_time: 0.0218 memory: 17006 grad_norm: 12.0964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3269 loss: 1.3269 2022/07/30 08:12:49 - mmengine - INFO - Epoch(train) [157][440/3757] lr: 4.3227e-04 eta: 10:23:12 time: 0.4185 data_time: 0.0225 memory: 17006 grad_norm: 11.0785 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1466 loss: 1.1466 2022/07/30 08:12:58 - mmengine - INFO - Epoch(train) [157][460/3757] lr: 4.3227e-04 eta: 10:23:03 time: 0.4313 data_time: 0.0204 memory: 17006 grad_norm: 11.4643 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2068 loss: 1.2068 2022/07/30 08:13:07 - mmengine - INFO - Epoch(train) [157][480/3757] lr: 4.3227e-04 eta: 10:22:55 time: 0.4394 data_time: 0.0234 memory: 17006 grad_norm: 10.9031 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1233 loss: 1.1233 2022/07/30 08:13:15 - mmengine - INFO - Epoch(train) [157][500/3757] lr: 4.3227e-04 eta: 10:22:47 time: 0.4078 data_time: 0.0210 memory: 17006 grad_norm: 11.9390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/07/30 08:13:23 - mmengine - INFO - Epoch(train) [157][520/3757] lr: 4.3227e-04 eta: 10:22:39 time: 0.4155 data_time: 0.0246 memory: 17006 grad_norm: 11.9048 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1809 loss: 1.1809 2022/07/30 08:13:31 - mmengine - INFO - Epoch(train) [157][540/3757] lr: 4.3227e-04 eta: 10:22:30 time: 0.4053 data_time: 0.0201 memory: 17006 grad_norm: 12.1282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3024 loss: 1.3024 2022/07/30 08:13:40 - mmengine - INFO - Epoch(train) [157][560/3757] lr: 4.3227e-04 eta: 10:22:22 time: 0.4057 data_time: 0.0214 memory: 17006 grad_norm: 11.5547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1264 loss: 1.1264 2022/07/30 08:13:48 - mmengine - INFO - Epoch(train) [157][580/3757] lr: 4.3227e-04 eta: 10:22:13 time: 0.4199 data_time: 0.0226 memory: 17006 grad_norm: 12.1901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1923 loss: 1.1923 2022/07/30 08:13:56 - mmengine - INFO - Epoch(train) [157][600/3757] lr: 4.3227e-04 eta: 10:22:05 time: 0.4061 data_time: 0.0218 memory: 17006 grad_norm: 11.7134 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2857 loss: 1.2857 2022/07/30 08:14:05 - mmengine - INFO - Epoch(train) [157][620/3757] lr: 4.3227e-04 eta: 10:21:57 time: 0.4240 data_time: 0.0235 memory: 17006 grad_norm: 11.9440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1058 loss: 1.1058 2022/07/30 08:14:13 - mmengine - INFO - Epoch(train) [157][640/3757] lr: 4.3227e-04 eta: 10:21:48 time: 0.4068 data_time: 0.0218 memory: 17006 grad_norm: 11.0574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1860 loss: 1.1860 2022/07/30 08:14:21 - mmengine - INFO - Epoch(train) [157][660/3757] lr: 4.3227e-04 eta: 10:21:40 time: 0.4062 data_time: 0.0212 memory: 17006 grad_norm: 12.0042 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1372 loss: 1.1372 2022/07/30 08:14:30 - mmengine - INFO - Epoch(train) [157][680/3757] lr: 4.3227e-04 eta: 10:21:32 time: 0.4575 data_time: 0.0230 memory: 17006 grad_norm: 11.2336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4278 loss: 1.4278 2022/07/30 08:14:38 - mmengine - INFO - Epoch(train) [157][700/3757] lr: 4.3227e-04 eta: 10:21:23 time: 0.4086 data_time: 0.0228 memory: 17006 grad_norm: 11.7894 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3055 loss: 1.3055 2022/07/30 08:14:47 - mmengine - INFO - Epoch(train) [157][720/3757] lr: 4.3227e-04 eta: 10:21:15 time: 0.4282 data_time: 0.0226 memory: 17006 grad_norm: 11.4091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1336 loss: 1.1336 2022/07/30 08:14:55 - mmengine - INFO - Epoch(train) [157][740/3757] lr: 4.3227e-04 eta: 10:21:07 time: 0.4040 data_time: 0.0196 memory: 17006 grad_norm: 11.3036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1346 loss: 1.1346 2022/07/30 08:15:04 - mmengine - INFO - Epoch(train) [157][760/3757] lr: 4.3227e-04 eta: 10:20:58 time: 0.4262 data_time: 0.0237 memory: 17006 grad_norm: 11.7850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1784 loss: 1.1784 2022/07/30 08:15:12 - mmengine - INFO - Epoch(train) [157][780/3757] lr: 4.3227e-04 eta: 10:20:50 time: 0.4076 data_time: 0.0217 memory: 17006 grad_norm: 11.2798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0860 loss: 1.0860 2022/07/30 08:15:20 - mmengine - INFO - Epoch(train) [157][800/3757] lr: 4.3227e-04 eta: 10:20:42 time: 0.4052 data_time: 0.0209 memory: 17006 grad_norm: 11.5511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9192 loss: 0.9192 2022/07/30 08:15:29 - mmengine - INFO - Epoch(train) [157][820/3757] lr: 4.3227e-04 eta: 10:20:34 time: 0.4500 data_time: 0.0218 memory: 17006 grad_norm: 12.1637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1750 loss: 1.1750 2022/07/30 08:15:37 - mmengine - INFO - Epoch(train) [157][840/3757] lr: 4.3227e-04 eta: 10:20:25 time: 0.4076 data_time: 0.0216 memory: 17006 grad_norm: 11.6427 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4357 loss: 1.4357 2022/07/30 08:15:46 - mmengine - INFO - Epoch(train) [157][860/3757] lr: 4.3227e-04 eta: 10:20:17 time: 0.4460 data_time: 0.0228 memory: 17006 grad_norm: 11.6883 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2850 loss: 1.2850 2022/07/30 08:15:54 - mmengine - INFO - Epoch(train) [157][880/3757] lr: 4.3227e-04 eta: 10:20:09 time: 0.4064 data_time: 0.0210 memory: 17006 grad_norm: 11.8246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1348 loss: 1.1348 2022/07/30 08:16:03 - mmengine - INFO - Epoch(train) [157][900/3757] lr: 4.3227e-04 eta: 10:20:00 time: 0.4171 data_time: 0.0204 memory: 17006 grad_norm: 11.5543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0433 loss: 1.0433 2022/07/30 08:16:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:16:12 - mmengine - INFO - Epoch(train) [157][920/3757] lr: 4.3227e-04 eta: 10:19:53 time: 0.4699 data_time: 0.0213 memory: 17006 grad_norm: 11.1975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3029 loss: 1.3029 2022/07/30 08:16:20 - mmengine - INFO - Epoch(train) [157][940/3757] lr: 4.3227e-04 eta: 10:19:44 time: 0.4061 data_time: 0.0207 memory: 17006 grad_norm: 11.2903 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1047 loss: 1.1047 2022/07/30 08:16:29 - mmengine - INFO - Epoch(train) [157][960/3757] lr: 4.3227e-04 eta: 10:19:36 time: 0.4502 data_time: 0.0217 memory: 17006 grad_norm: 11.8746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1867 loss: 1.1867 2022/07/30 08:16:37 - mmengine - INFO - Epoch(train) [157][980/3757] lr: 4.3227e-04 eta: 10:19:28 time: 0.4041 data_time: 0.0204 memory: 17006 grad_norm: 11.6780 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3368 loss: 1.3368 2022/07/30 08:16:46 - mmengine - INFO - Epoch(train) [157][1000/3757] lr: 4.3227e-04 eta: 10:19:19 time: 0.4153 data_time: 0.0220 memory: 17006 grad_norm: 11.4714 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/07/30 08:16:54 - mmengine - INFO - Epoch(train) [157][1020/3757] lr: 4.3227e-04 eta: 10:19:11 time: 0.4033 data_time: 0.0200 memory: 17006 grad_norm: 11.9986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1866 loss: 1.1866 2022/07/30 08:17:02 - mmengine - INFO - Epoch(train) [157][1040/3757] lr: 4.3227e-04 eta: 10:19:03 time: 0.4064 data_time: 0.0207 memory: 17006 grad_norm: 12.0159 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4791 loss: 1.4791 2022/07/30 08:17:10 - mmengine - INFO - Epoch(train) [157][1060/3757] lr: 4.3227e-04 eta: 10:18:54 time: 0.4143 data_time: 0.0216 memory: 17006 grad_norm: 11.6404 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2017 loss: 1.2017 2022/07/30 08:17:18 - mmengine - INFO - Epoch(train) [157][1080/3757] lr: 4.3227e-04 eta: 10:18:46 time: 0.4071 data_time: 0.0210 memory: 17006 grad_norm: 11.6017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2214 loss: 1.2214 2022/07/30 08:17:28 - mmengine - INFO - Epoch(train) [157][1100/3757] lr: 4.3227e-04 eta: 10:18:38 time: 0.4630 data_time: 0.0210 memory: 17006 grad_norm: 11.8219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2262 loss: 1.2262 2022/07/30 08:17:36 - mmengine - INFO - Epoch(train) [157][1120/3757] lr: 4.3227e-04 eta: 10:18:29 time: 0.4043 data_time: 0.0206 memory: 17006 grad_norm: 11.5265 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0715 loss: 1.0715 2022/07/30 08:17:44 - mmengine - INFO - Epoch(train) [157][1140/3757] lr: 4.3227e-04 eta: 10:18:21 time: 0.4131 data_time: 0.0217 memory: 17006 grad_norm: 11.4908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2768 loss: 1.2768 2022/07/30 08:17:52 - mmengine - INFO - Epoch(train) [157][1160/3757] lr: 4.3227e-04 eta: 10:18:13 time: 0.4067 data_time: 0.0212 memory: 17006 grad_norm: 11.8409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4919 loss: 1.4919 2022/07/30 08:18:01 - mmengine - INFO - Epoch(train) [157][1180/3757] lr: 4.3227e-04 eta: 10:18:05 time: 0.4482 data_time: 0.0201 memory: 17006 grad_norm: 11.4364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3419 loss: 1.3419 2022/07/30 08:18:10 - mmengine - INFO - Epoch(train) [157][1200/3757] lr: 4.3227e-04 eta: 10:17:56 time: 0.4253 data_time: 0.0264 memory: 17006 grad_norm: 11.2183 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1919 loss: 1.1919 2022/07/30 08:18:18 - mmengine - INFO - Epoch(train) [157][1220/3757] lr: 4.3227e-04 eta: 10:17:48 time: 0.4084 data_time: 0.0208 memory: 17006 grad_norm: 11.4497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2290 loss: 1.2290 2022/07/30 08:18:26 - mmengine - INFO - Epoch(train) [157][1240/3757] lr: 4.3227e-04 eta: 10:17:40 time: 0.4164 data_time: 0.0219 memory: 17006 grad_norm: 11.7845 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2516 loss: 1.2516 2022/07/30 08:18:35 - mmengine - INFO - Epoch(train) [157][1260/3757] lr: 4.3227e-04 eta: 10:17:31 time: 0.4133 data_time: 0.0205 memory: 17006 grad_norm: 11.8502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2571 loss: 1.2571 2022/07/30 08:18:43 - mmengine - INFO - Epoch(train) [157][1280/3757] lr: 4.3227e-04 eta: 10:17:23 time: 0.4145 data_time: 0.0207 memory: 17006 grad_norm: 11.9122 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2223 loss: 1.2223 2022/07/30 08:18:51 - mmengine - INFO - Epoch(train) [157][1300/3757] lr: 4.3227e-04 eta: 10:17:14 time: 0.4092 data_time: 0.0201 memory: 17006 grad_norm: 11.7338 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3476 loss: 1.3476 2022/07/30 08:18:59 - mmengine - INFO - Epoch(train) [157][1320/3757] lr: 4.3227e-04 eta: 10:17:06 time: 0.4065 data_time: 0.0207 memory: 17006 grad_norm: 12.0824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3303 loss: 1.3303 2022/07/30 08:19:08 - mmengine - INFO - Epoch(train) [157][1340/3757] lr: 4.3227e-04 eta: 10:16:58 time: 0.4349 data_time: 0.0223 memory: 17006 grad_norm: 11.5136 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3399 loss: 1.3399 2022/07/30 08:19:16 - mmengine - INFO - Epoch(train) [157][1360/3757] lr: 4.3227e-04 eta: 10:16:49 time: 0.4064 data_time: 0.0213 memory: 17006 grad_norm: 11.4987 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2604 loss: 1.2604 2022/07/30 08:19:25 - mmengine - INFO - Epoch(train) [157][1380/3757] lr: 4.3227e-04 eta: 10:16:41 time: 0.4180 data_time: 0.0215 memory: 17006 grad_norm: 11.7336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1243 loss: 1.1243 2022/07/30 08:19:33 - mmengine - INFO - Epoch(train) [157][1400/3757] lr: 4.3227e-04 eta: 10:16:33 time: 0.4077 data_time: 0.0214 memory: 17006 grad_norm: 11.7909 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5055 loss: 1.5055 2022/07/30 08:19:41 - mmengine - INFO - Epoch(train) [157][1420/3757] lr: 4.3227e-04 eta: 10:16:24 time: 0.4050 data_time: 0.0199 memory: 17006 grad_norm: 11.8662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1295 loss: 1.1295 2022/07/30 08:19:50 - mmengine - INFO - Epoch(train) [157][1440/3757] lr: 4.3227e-04 eta: 10:16:16 time: 0.4291 data_time: 0.0223 memory: 17006 grad_norm: 12.4845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1176 loss: 1.1176 2022/07/30 08:19:58 - mmengine - INFO - Epoch(train) [157][1460/3757] lr: 4.3227e-04 eta: 10:16:08 time: 0.4101 data_time: 0.0210 memory: 17006 grad_norm: 11.1242 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0750 loss: 1.0750 2022/07/30 08:20:06 - mmengine - INFO - Epoch(train) [157][1480/3757] lr: 4.3227e-04 eta: 10:15:59 time: 0.4145 data_time: 0.0229 memory: 17006 grad_norm: 12.0146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1593 loss: 1.1593 2022/07/30 08:20:14 - mmengine - INFO - Epoch(train) [157][1500/3757] lr: 4.3227e-04 eta: 10:15:51 time: 0.4094 data_time: 0.0188 memory: 17006 grad_norm: 11.9468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2966 loss: 1.2966 2022/07/30 08:20:22 - mmengine - INFO - Epoch(train) [157][1520/3757] lr: 4.3227e-04 eta: 10:15:42 time: 0.4053 data_time: 0.0205 memory: 17006 grad_norm: 11.5711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3668 loss: 1.3668 2022/07/30 08:20:31 - mmengine - INFO - Epoch(train) [157][1540/3757] lr: 4.3227e-04 eta: 10:15:34 time: 0.4143 data_time: 0.0228 memory: 17006 grad_norm: 11.2101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9755 loss: 0.9755 2022/07/30 08:20:39 - mmengine - INFO - Epoch(train) [157][1560/3757] lr: 4.3227e-04 eta: 10:15:26 time: 0.4158 data_time: 0.0218 memory: 17006 grad_norm: 11.9818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4511 loss: 1.4511 2022/07/30 08:20:47 - mmengine - INFO - Epoch(train) [157][1580/3757] lr: 4.3227e-04 eta: 10:15:17 time: 0.4162 data_time: 0.0216 memory: 17006 grad_norm: 11.8590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2724 loss: 1.2724 2022/07/30 08:20:56 - mmengine - INFO - Epoch(train) [157][1600/3757] lr: 4.3227e-04 eta: 10:15:09 time: 0.4059 data_time: 0.0217 memory: 17006 grad_norm: 11.5872 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0793 loss: 1.0793 2022/07/30 08:21:04 - mmengine - INFO - Epoch(train) [157][1620/3757] lr: 4.3227e-04 eta: 10:15:01 time: 0.4161 data_time: 0.0221 memory: 17006 grad_norm: 11.6159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2120 loss: 1.2120 2022/07/30 08:21:12 - mmengine - INFO - Epoch(train) [157][1640/3757] lr: 4.3227e-04 eta: 10:14:52 time: 0.4051 data_time: 0.0210 memory: 17006 grad_norm: 11.4398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2823 loss: 1.2823 2022/07/30 08:21:20 - mmengine - INFO - Epoch(train) [157][1660/3757] lr: 4.3227e-04 eta: 10:14:44 time: 0.4086 data_time: 0.0208 memory: 17006 grad_norm: 11.5783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1670 loss: 1.1670 2022/07/30 08:21:29 - mmengine - INFO - Epoch(train) [157][1680/3757] lr: 4.3227e-04 eta: 10:14:35 time: 0.4215 data_time: 0.0221 memory: 17006 grad_norm: 11.7264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2744 loss: 1.2744 2022/07/30 08:21:37 - mmengine - INFO - Epoch(train) [157][1700/3757] lr: 4.3227e-04 eta: 10:14:27 time: 0.4080 data_time: 0.0218 memory: 17006 grad_norm: 11.8154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4928 loss: 1.4928 2022/07/30 08:21:45 - mmengine - INFO - Epoch(train) [157][1720/3757] lr: 4.3227e-04 eta: 10:14:19 time: 0.4214 data_time: 0.0210 memory: 17006 grad_norm: 11.6296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1306 loss: 1.1306 2022/07/30 08:21:54 - mmengine - INFO - Epoch(train) [157][1740/3757] lr: 4.3227e-04 eta: 10:14:10 time: 0.4118 data_time: 0.0218 memory: 17006 grad_norm: 11.8269 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0599 loss: 1.0599 2022/07/30 08:22:02 - mmengine - INFO - Epoch(train) [157][1760/3757] lr: 4.3227e-04 eta: 10:14:02 time: 0.4058 data_time: 0.0207 memory: 17006 grad_norm: 11.1790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0372 loss: 1.0372 2022/07/30 08:22:10 - mmengine - INFO - Epoch(train) [157][1780/3757] lr: 4.3227e-04 eta: 10:13:53 time: 0.4215 data_time: 0.0227 memory: 17006 grad_norm: 11.3222 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3975 loss: 1.3975 2022/07/30 08:22:18 - mmengine - INFO - Epoch(train) [157][1800/3757] lr: 4.3227e-04 eta: 10:13:45 time: 0.4076 data_time: 0.0217 memory: 17006 grad_norm: 12.0963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3343 loss: 1.3343 2022/07/30 08:22:27 - mmengine - INFO - Epoch(train) [157][1820/3757] lr: 4.3227e-04 eta: 10:13:37 time: 0.4345 data_time: 0.0231 memory: 17006 grad_norm: 11.5519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9023 loss: 0.9023 2022/07/30 08:22:35 - mmengine - INFO - Epoch(train) [157][1840/3757] lr: 4.3227e-04 eta: 10:13:28 time: 0.4058 data_time: 0.0211 memory: 17006 grad_norm: 11.3428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1765 loss: 1.1765 2022/07/30 08:22:45 - mmengine - INFO - Epoch(train) [157][1860/3757] lr: 4.3227e-04 eta: 10:13:21 time: 0.4619 data_time: 0.0241 memory: 17006 grad_norm: 11.4387 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2598 loss: 1.2598 2022/07/30 08:22:53 - mmengine - INFO - Epoch(train) [157][1880/3757] lr: 4.3227e-04 eta: 10:13:12 time: 0.4071 data_time: 0.0218 memory: 17006 grad_norm: 12.1066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3629 loss: 1.3629 2022/07/30 08:23:01 - mmengine - INFO - Epoch(train) [157][1900/3757] lr: 4.3227e-04 eta: 10:13:04 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 11.8581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2510 loss: 1.2510 2022/07/30 08:23:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:23:09 - mmengine - INFO - Epoch(train) [157][1920/3757] lr: 4.3227e-04 eta: 10:12:55 time: 0.4186 data_time: 0.0230 memory: 17006 grad_norm: 11.8625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2106 loss: 1.2106 2022/07/30 08:23:17 - mmengine - INFO - Epoch(train) [157][1940/3757] lr: 4.3227e-04 eta: 10:12:47 time: 0.4069 data_time: 0.0212 memory: 17006 grad_norm: 12.1857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3314 loss: 1.3314 2022/07/30 08:23:26 - mmengine - INFO - Epoch(train) [157][1960/3757] lr: 4.3227e-04 eta: 10:12:39 time: 0.4225 data_time: 0.0224 memory: 17006 grad_norm: 11.8114 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1471 loss: 1.1471 2022/07/30 08:23:34 - mmengine - INFO - Epoch(train) [157][1980/3757] lr: 4.3227e-04 eta: 10:12:30 time: 0.4040 data_time: 0.0210 memory: 17006 grad_norm: 11.5382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3214 loss: 1.3214 2022/07/30 08:23:42 - mmengine - INFO - Epoch(train) [157][2000/3757] lr: 4.3227e-04 eta: 10:12:22 time: 0.4050 data_time: 0.0206 memory: 17006 grad_norm: 11.9179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3493 loss: 1.3493 2022/07/30 08:23:51 - mmengine - INFO - Epoch(train) [157][2020/3757] lr: 4.3227e-04 eta: 10:12:13 time: 0.4188 data_time: 0.0228 memory: 17006 grad_norm: 11.4391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9906 loss: 0.9906 2022/07/30 08:23:59 - mmengine - INFO - Epoch(train) [157][2040/3757] lr: 4.3227e-04 eta: 10:12:05 time: 0.4078 data_time: 0.0215 memory: 17006 grad_norm: 11.4012 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/07/30 08:24:07 - mmengine - INFO - Epoch(train) [157][2060/3757] lr: 4.3227e-04 eta: 10:11:57 time: 0.4239 data_time: 0.0225 memory: 17006 grad_norm: 11.8829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/07/30 08:24:15 - mmengine - INFO - Epoch(train) [157][2080/3757] lr: 4.3227e-04 eta: 10:11:48 time: 0.4071 data_time: 0.0212 memory: 17006 grad_norm: 12.3597 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3634 loss: 1.3634 2022/07/30 08:24:24 - mmengine - INFO - Epoch(train) [157][2100/3757] lr: 4.3227e-04 eta: 10:11:40 time: 0.4448 data_time: 0.0216 memory: 17006 grad_norm: 11.3436 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0725 loss: 1.0725 2022/07/30 08:24:33 - mmengine - INFO - Epoch(train) [157][2120/3757] lr: 4.3227e-04 eta: 10:11:32 time: 0.4050 data_time: 0.0205 memory: 17006 grad_norm: 11.1035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2884 loss: 1.2884 2022/07/30 08:24:41 - mmengine - INFO - Epoch(train) [157][2140/3757] lr: 4.3227e-04 eta: 10:11:23 time: 0.4049 data_time: 0.0203 memory: 17006 grad_norm: 11.7017 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2791 loss: 1.2791 2022/07/30 08:24:49 - mmengine - INFO - Epoch(train) [157][2160/3757] lr: 4.3227e-04 eta: 10:11:15 time: 0.4259 data_time: 0.0233 memory: 17006 grad_norm: 11.4571 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0012 loss: 1.0012 2022/07/30 08:24:57 - mmengine - INFO - Epoch(train) [157][2180/3757] lr: 4.3227e-04 eta: 10:11:07 time: 0.4046 data_time: 0.0200 memory: 17006 grad_norm: 12.1680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2688 loss: 1.2688 2022/07/30 08:25:06 - mmengine - INFO - Epoch(train) [157][2200/3757] lr: 4.3227e-04 eta: 10:10:58 time: 0.4179 data_time: 0.0223 memory: 17006 grad_norm: 11.5237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1687 loss: 1.1687 2022/07/30 08:25:14 - mmengine - INFO - Epoch(train) [157][2220/3757] lr: 4.3227e-04 eta: 10:10:50 time: 0.4048 data_time: 0.0203 memory: 17006 grad_norm: 11.9169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0369 loss: 1.0369 2022/07/30 08:25:22 - mmengine - INFO - Epoch(train) [157][2240/3757] lr: 4.3227e-04 eta: 10:10:41 time: 0.4062 data_time: 0.0212 memory: 17006 grad_norm: 11.9617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7380 loss: 1.7380 2022/07/30 08:25:31 - mmengine - INFO - Epoch(train) [157][2260/3757] lr: 4.3227e-04 eta: 10:10:33 time: 0.4517 data_time: 0.0228 memory: 17006 grad_norm: 11.5031 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1950 loss: 1.1950 2022/07/30 08:25:39 - mmengine - INFO - Epoch(train) [157][2280/3757] lr: 4.3227e-04 eta: 10:10:25 time: 0.4077 data_time: 0.0219 memory: 17006 grad_norm: 11.6880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0256 loss: 1.0256 2022/07/30 08:25:48 - mmengine - INFO - Epoch(train) [157][2300/3757] lr: 4.3227e-04 eta: 10:10:17 time: 0.4265 data_time: 0.0224 memory: 17006 grad_norm: 12.0497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3406 loss: 1.3406 2022/07/30 08:25:56 - mmengine - INFO - Epoch(train) [157][2320/3757] lr: 4.3227e-04 eta: 10:10:08 time: 0.4073 data_time: 0.0217 memory: 17006 grad_norm: 11.7904 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3518 loss: 1.3518 2022/07/30 08:26:04 - mmengine - INFO - Epoch(train) [157][2340/3757] lr: 4.3227e-04 eta: 10:10:00 time: 0.4155 data_time: 0.0222 memory: 17006 grad_norm: 11.2580 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0914 loss: 1.0914 2022/07/30 08:26:12 - mmengine - INFO - Epoch(train) [157][2360/3757] lr: 4.3227e-04 eta: 10:09:52 time: 0.4069 data_time: 0.0216 memory: 17006 grad_norm: 12.0134 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3733 loss: 1.3733 2022/07/30 08:26:21 - mmengine - INFO - Epoch(train) [157][2380/3757] lr: 4.3227e-04 eta: 10:09:43 time: 0.4092 data_time: 0.0207 memory: 17006 grad_norm: 11.5179 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0454 loss: 1.0454 2022/07/30 08:26:29 - mmengine - INFO - Epoch(train) [157][2400/3757] lr: 4.3227e-04 eta: 10:09:35 time: 0.4185 data_time: 0.0234 memory: 17006 grad_norm: 11.1792 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1817 loss: 1.1817 2022/07/30 08:26:38 - mmengine - INFO - Epoch(train) [157][2420/3757] lr: 4.3227e-04 eta: 10:09:27 time: 0.4295 data_time: 0.0205 memory: 17006 grad_norm: 11.7147 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2093 loss: 1.2093 2022/07/30 08:26:46 - mmengine - INFO - Epoch(train) [157][2440/3757] lr: 4.3227e-04 eta: 10:09:18 time: 0.4203 data_time: 0.0222 memory: 17006 grad_norm: 11.2705 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1437 loss: 1.1437 2022/07/30 08:26:54 - mmengine - INFO - Epoch(train) [157][2460/3757] lr: 4.3227e-04 eta: 10:09:10 time: 0.4111 data_time: 0.0217 memory: 17006 grad_norm: 11.7871 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2544 loss: 1.2544 2022/07/30 08:27:03 - mmengine - INFO - Epoch(train) [157][2480/3757] lr: 4.3227e-04 eta: 10:09:02 time: 0.4063 data_time: 0.0207 memory: 17006 grad_norm: 11.3426 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3021 loss: 1.3021 2022/07/30 08:27:11 - mmengine - INFO - Epoch(train) [157][2500/3757] lr: 4.3227e-04 eta: 10:08:53 time: 0.4321 data_time: 0.0234 memory: 17006 grad_norm: 12.8192 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5671 loss: 1.5671 2022/07/30 08:27:19 - mmengine - INFO - Epoch(train) [157][2520/3757] lr: 4.3227e-04 eta: 10:08:45 time: 0.4080 data_time: 0.0209 memory: 17006 grad_norm: 11.5717 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4885 loss: 1.4885 2022/07/30 08:27:28 - mmengine - INFO - Epoch(train) [157][2540/3757] lr: 4.3227e-04 eta: 10:08:37 time: 0.4187 data_time: 0.0260 memory: 17006 grad_norm: 11.5518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2199 loss: 1.2199 2022/07/30 08:27:36 - mmengine - INFO - Epoch(train) [157][2560/3757] lr: 4.3227e-04 eta: 10:08:28 time: 0.4067 data_time: 0.0203 memory: 17006 grad_norm: 11.7362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0654 loss: 1.0654 2022/07/30 08:27:44 - mmengine - INFO - Epoch(train) [157][2580/3757] lr: 4.3227e-04 eta: 10:08:20 time: 0.4119 data_time: 0.0200 memory: 17006 grad_norm: 11.5255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2856 loss: 1.2856 2022/07/30 08:27:52 - mmengine - INFO - Epoch(train) [157][2600/3757] lr: 4.3227e-04 eta: 10:08:11 time: 0.4069 data_time: 0.0218 memory: 17006 grad_norm: 11.6912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3941 loss: 1.3941 2022/07/30 08:28:01 - mmengine - INFO - Epoch(train) [157][2620/3757] lr: 4.3227e-04 eta: 10:08:03 time: 0.4322 data_time: 0.0194 memory: 17006 grad_norm: 11.3557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1442 loss: 1.1442 2022/07/30 08:28:09 - mmengine - INFO - Epoch(train) [157][2640/3757] lr: 4.3227e-04 eta: 10:07:55 time: 0.4157 data_time: 0.0229 memory: 17006 grad_norm: 11.6354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1532 loss: 1.1532 2022/07/30 08:28:18 - mmengine - INFO - Epoch(train) [157][2660/3757] lr: 4.3227e-04 eta: 10:07:46 time: 0.4076 data_time: 0.0220 memory: 17006 grad_norm: 11.5777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2140 loss: 1.2140 2022/07/30 08:28:26 - mmengine - INFO - Epoch(train) [157][2680/3757] lr: 4.3227e-04 eta: 10:07:38 time: 0.4147 data_time: 0.0223 memory: 17006 grad_norm: 11.0363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3039 loss: 1.3039 2022/07/30 08:28:34 - mmengine - INFO - Epoch(train) [157][2700/3757] lr: 4.3227e-04 eta: 10:07:30 time: 0.4097 data_time: 0.0203 memory: 17006 grad_norm: 12.1466 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1585 loss: 1.1585 2022/07/30 08:28:42 - mmengine - INFO - Epoch(train) [157][2720/3757] lr: 4.3227e-04 eta: 10:07:21 time: 0.4053 data_time: 0.0213 memory: 17006 grad_norm: 12.1193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2882 loss: 1.2882 2022/07/30 08:28:51 - mmengine - INFO - Epoch(train) [157][2740/3757] lr: 4.3227e-04 eta: 10:07:13 time: 0.4199 data_time: 0.0224 memory: 17006 grad_norm: 12.1603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/07/30 08:28:59 - mmengine - INFO - Epoch(train) [157][2760/3757] lr: 4.3227e-04 eta: 10:07:04 time: 0.4074 data_time: 0.0223 memory: 17006 grad_norm: 11.8846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/07/30 08:29:07 - mmengine - INFO - Epoch(train) [157][2780/3757] lr: 4.3227e-04 eta: 10:06:56 time: 0.4277 data_time: 0.0219 memory: 17006 grad_norm: 11.3822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1704 loss: 1.1704 2022/07/30 08:29:16 - mmengine - INFO - Epoch(train) [157][2800/3757] lr: 4.3227e-04 eta: 10:06:48 time: 0.4081 data_time: 0.0218 memory: 17006 grad_norm: 11.3575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2072 loss: 1.2072 2022/07/30 08:29:24 - mmengine - INFO - Epoch(train) [157][2820/3757] lr: 4.3227e-04 eta: 10:06:39 time: 0.4099 data_time: 0.0216 memory: 17006 grad_norm: 11.8533 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1090 loss: 1.1090 2022/07/30 08:29:32 - mmengine - INFO - Epoch(train) [157][2840/3757] lr: 4.3227e-04 eta: 10:06:31 time: 0.4106 data_time: 0.0205 memory: 17006 grad_norm: 11.3328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1134 loss: 1.1134 2022/07/30 08:29:40 - mmengine - INFO - Epoch(train) [157][2860/3757] lr: 4.3227e-04 eta: 10:06:23 time: 0.4076 data_time: 0.0205 memory: 17006 grad_norm: 12.0133 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/07/30 08:29:49 - mmengine - INFO - Epoch(train) [157][2880/3757] lr: 4.3227e-04 eta: 10:06:14 time: 0.4246 data_time: 0.0231 memory: 17006 grad_norm: 11.6509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3286 loss: 1.3286 2022/07/30 08:29:58 - mmengine - INFO - Epoch(train) [157][2900/3757] lr: 4.3227e-04 eta: 10:06:06 time: 0.4363 data_time: 0.0212 memory: 17006 grad_norm: 11.8094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1248 loss: 1.1248 2022/07/30 08:30:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:30:06 - mmengine - INFO - Epoch(train) [157][2920/3757] lr: 4.3227e-04 eta: 10:05:58 time: 0.4359 data_time: 0.0231 memory: 17006 grad_norm: 11.7243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2455 loss: 1.2455 2022/07/30 08:30:14 - mmengine - INFO - Epoch(train) [157][2940/3757] lr: 4.3227e-04 eta: 10:05:50 time: 0.4054 data_time: 0.0209 memory: 17006 grad_norm: 12.1284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0216 loss: 1.0216 2022/07/30 08:30:23 - mmengine - INFO - Epoch(train) [157][2960/3757] lr: 4.3227e-04 eta: 10:05:41 time: 0.4063 data_time: 0.0215 memory: 17006 grad_norm: 11.5862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0893 loss: 1.0893 2022/07/30 08:30:31 - mmengine - INFO - Epoch(train) [157][2980/3757] lr: 4.3227e-04 eta: 10:05:33 time: 0.4319 data_time: 0.0221 memory: 17006 grad_norm: 11.6529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3488 loss: 1.3488 2022/07/30 08:30:39 - mmengine - INFO - Epoch(train) [157][3000/3757] lr: 4.3227e-04 eta: 10:05:24 time: 0.4052 data_time: 0.0194 memory: 17006 grad_norm: 12.1198 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1247 loss: 1.1247 2022/07/30 08:30:48 - mmengine - INFO - Epoch(train) [157][3020/3757] lr: 4.3227e-04 eta: 10:05:16 time: 0.4360 data_time: 0.0233 memory: 17006 grad_norm: 11.8637 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1937 loss: 1.1937 2022/07/30 08:30:56 - mmengine - INFO - Epoch(train) [157][3040/3757] lr: 4.3227e-04 eta: 10:05:08 time: 0.4053 data_time: 0.0211 memory: 17006 grad_norm: 12.1292 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3717 loss: 1.3717 2022/07/30 08:31:05 - mmengine - INFO - Epoch(train) [157][3060/3757] lr: 4.3227e-04 eta: 10:05:00 time: 0.4172 data_time: 0.0232 memory: 17006 grad_norm: 11.5107 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1739 loss: 1.1739 2022/07/30 08:31:13 - mmengine - INFO - Epoch(train) [157][3080/3757] lr: 4.3227e-04 eta: 10:04:51 time: 0.4048 data_time: 0.0209 memory: 17006 grad_norm: 11.4570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2423 loss: 1.2423 2022/07/30 08:31:21 - mmengine - INFO - Epoch(train) [157][3100/3757] lr: 4.3227e-04 eta: 10:04:43 time: 0.4062 data_time: 0.0204 memory: 17006 grad_norm: 12.1694 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2940 loss: 1.2940 2022/07/30 08:31:30 - mmengine - INFO - Epoch(train) [157][3120/3757] lr: 4.3227e-04 eta: 10:04:34 time: 0.4301 data_time: 0.0271 memory: 17006 grad_norm: 11.7440 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1291 loss: 1.1291 2022/07/30 08:31:38 - mmengine - INFO - Epoch(train) [157][3140/3757] lr: 4.3227e-04 eta: 10:04:26 time: 0.4059 data_time: 0.0213 memory: 17006 grad_norm: 11.0444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/07/30 08:31:47 - mmengine - INFO - Epoch(train) [157][3160/3757] lr: 4.3227e-04 eta: 10:04:18 time: 0.4468 data_time: 0.0233 memory: 17006 grad_norm: 11.7556 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1761 loss: 1.1761 2022/07/30 08:31:55 - mmengine - INFO - Epoch(train) [157][3180/3757] lr: 4.3227e-04 eta: 10:04:10 time: 0.4057 data_time: 0.0208 memory: 17006 grad_norm: 11.4559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1388 loss: 1.1388 2022/07/30 08:32:03 - mmengine - INFO - Epoch(train) [157][3200/3757] lr: 4.3227e-04 eta: 10:04:01 time: 0.4068 data_time: 0.0219 memory: 17006 grad_norm: 12.3658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3654 loss: 1.3654 2022/07/30 08:32:11 - mmengine - INFO - Epoch(train) [157][3220/3757] lr: 4.3227e-04 eta: 10:03:53 time: 0.4128 data_time: 0.0226 memory: 17006 grad_norm: 11.8483 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5274 loss: 1.5274 2022/07/30 08:32:19 - mmengine - INFO - Epoch(train) [157][3240/3757] lr: 4.3227e-04 eta: 10:03:44 time: 0.4065 data_time: 0.0212 memory: 17006 grad_norm: 11.9948 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3397 loss: 1.3397 2022/07/30 08:32:28 - mmengine - INFO - Epoch(train) [157][3260/3757] lr: 4.3227e-04 eta: 10:03:36 time: 0.4467 data_time: 0.0263 memory: 17006 grad_norm: 11.6404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3183 loss: 1.3183 2022/07/30 08:32:37 - mmengine - INFO - Epoch(train) [157][3280/3757] lr: 4.3227e-04 eta: 10:03:28 time: 0.4074 data_time: 0.0212 memory: 17006 grad_norm: 11.5759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9752 loss: 0.9752 2022/07/30 08:32:46 - mmengine - INFO - Epoch(train) [157][3300/3757] lr: 4.3227e-04 eta: 10:03:20 time: 0.4681 data_time: 0.0235 memory: 17006 grad_norm: 11.5307 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2214 loss: 1.2214 2022/07/30 08:32:54 - mmengine - INFO - Epoch(train) [157][3320/3757] lr: 4.3227e-04 eta: 10:03:12 time: 0.4042 data_time: 0.0196 memory: 17006 grad_norm: 11.2677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/07/30 08:33:02 - mmengine - INFO - Epoch(train) [157][3340/3757] lr: 4.3227e-04 eta: 10:03:03 time: 0.4074 data_time: 0.0215 memory: 17006 grad_norm: 10.6417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/07/30 08:33:11 - mmengine - INFO - Epoch(train) [157][3360/3757] lr: 4.3227e-04 eta: 10:02:55 time: 0.4196 data_time: 0.0233 memory: 17006 grad_norm: 11.4374 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2803 loss: 1.2803 2022/07/30 08:33:19 - mmengine - INFO - Epoch(train) [157][3380/3757] lr: 4.3227e-04 eta: 10:02:46 time: 0.4078 data_time: 0.0215 memory: 17006 grad_norm: 12.0652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2242 loss: 1.2242 2022/07/30 08:33:28 - mmengine - INFO - Epoch(train) [157][3400/3757] lr: 4.3227e-04 eta: 10:02:38 time: 0.4354 data_time: 0.0246 memory: 17006 grad_norm: 12.3905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3359 loss: 1.3359 2022/07/30 08:33:36 - mmengine - INFO - Epoch(train) [157][3420/3757] lr: 4.3227e-04 eta: 10:02:30 time: 0.4059 data_time: 0.0214 memory: 17006 grad_norm: 11.7445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1732 loss: 1.1732 2022/07/30 08:33:44 - mmengine - INFO - Epoch(train) [157][3440/3757] lr: 4.3227e-04 eta: 10:02:21 time: 0.4067 data_time: 0.0218 memory: 17006 grad_norm: 11.6734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4653 loss: 1.4653 2022/07/30 08:33:53 - mmengine - INFO - Epoch(train) [157][3460/3757] lr: 4.3227e-04 eta: 10:02:13 time: 0.4296 data_time: 0.0226 memory: 17006 grad_norm: 11.5760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2414 loss: 1.2414 2022/07/30 08:34:01 - mmengine - INFO - Epoch(train) [157][3480/3757] lr: 4.3227e-04 eta: 10:02:05 time: 0.4069 data_time: 0.0213 memory: 17006 grad_norm: 12.0070 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2577 loss: 1.2577 2022/07/30 08:34:09 - mmengine - INFO - Epoch(train) [157][3500/3757] lr: 4.3227e-04 eta: 10:01:57 time: 0.4365 data_time: 0.0214 memory: 17006 grad_norm: 11.6060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9962 loss: 0.9962 2022/07/30 08:34:18 - mmengine - INFO - Epoch(train) [157][3520/3757] lr: 4.3227e-04 eta: 10:01:48 time: 0.4104 data_time: 0.0212 memory: 17006 grad_norm: 11.9731 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2784 loss: 1.2784 2022/07/30 08:34:26 - mmengine - INFO - Epoch(train) [157][3540/3757] lr: 4.3227e-04 eta: 10:01:40 time: 0.4151 data_time: 0.0221 memory: 17006 grad_norm: 11.4589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2305 loss: 1.2305 2022/07/30 08:34:34 - mmengine - INFO - Epoch(train) [157][3560/3757] lr: 4.3227e-04 eta: 10:01:31 time: 0.4074 data_time: 0.0210 memory: 17006 grad_norm: 11.5352 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3225 loss: 1.3225 2022/07/30 08:34:43 - mmengine - INFO - Epoch(train) [157][3580/3757] lr: 4.3227e-04 eta: 10:01:23 time: 0.4156 data_time: 0.0192 memory: 17006 grad_norm: 12.3333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/07/30 08:34:51 - mmengine - INFO - Epoch(train) [157][3600/3757] lr: 4.3227e-04 eta: 10:01:15 time: 0.4205 data_time: 0.0231 memory: 17006 grad_norm: 11.2912 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0572 loss: 1.0572 2022/07/30 08:34:59 - mmengine - INFO - Epoch(train) [157][3620/3757] lr: 4.3227e-04 eta: 10:01:06 time: 0.4072 data_time: 0.0204 memory: 17006 grad_norm: 11.4829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1187 loss: 1.1187 2022/07/30 08:35:08 - mmengine - INFO - Epoch(train) [157][3640/3757] lr: 4.3227e-04 eta: 10:00:58 time: 0.4225 data_time: 0.0244 memory: 17006 grad_norm: 11.7882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2698 loss: 1.2698 2022/07/30 08:35:16 - mmengine - INFO - Epoch(train) [157][3660/3757] lr: 4.3227e-04 eta: 10:00:50 time: 0.4049 data_time: 0.0193 memory: 17006 grad_norm: 12.0042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3099 loss: 1.3099 2022/07/30 08:35:24 - mmengine - INFO - Epoch(train) [157][3680/3757] lr: 4.3227e-04 eta: 10:00:41 time: 0.4064 data_time: 0.0209 memory: 17006 grad_norm: 11.8118 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1623 loss: 1.1623 2022/07/30 08:35:33 - mmengine - INFO - Epoch(train) [157][3700/3757] lr: 4.3227e-04 eta: 10:00:33 time: 0.4320 data_time: 0.0227 memory: 17006 grad_norm: 12.1023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2151 loss: 1.2151 2022/07/30 08:35:41 - mmengine - INFO - Epoch(train) [157][3720/3757] lr: 4.3227e-04 eta: 10:00:25 time: 0.4081 data_time: 0.0218 memory: 17006 grad_norm: 11.2358 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3820 loss: 1.3820 2022/07/30 08:35:49 - mmengine - INFO - Epoch(train) [157][3740/3757] lr: 4.3227e-04 eta: 10:00:16 time: 0.4148 data_time: 0.0227 memory: 17006 grad_norm: 11.3098 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1352 loss: 1.1352 2022/07/30 08:35:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:35:56 - mmengine - INFO - Epoch(train) [157][3757/3757] lr: 4.3227e-04 eta: 10:00:16 time: 0.3942 data_time: 0.0194 memory: 17006 grad_norm: 11.2721 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3331 loss: 1.3331 2022/07/30 08:35:56 - mmengine - INFO - Saving checkpoint at 157 epochs 2022/07/30 08:36:09 - mmengine - INFO - Epoch(train) [158][20/3757] lr: 3.9748e-04 eta: 9:59:57 time: 0.4595 data_time: 0.0737 memory: 17006 grad_norm: 11.8189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2146 loss: 1.2146 2022/07/30 08:36:19 - mmengine - INFO - Epoch(train) [158][40/3757] lr: 3.9748e-04 eta: 9:59:50 time: 0.4626 data_time: 0.0234 memory: 17006 grad_norm: 11.6430 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1851 loss: 1.1851 2022/07/30 08:36:27 - mmengine - INFO - Epoch(train) [158][60/3757] lr: 3.9748e-04 eta: 9:59:41 time: 0.4089 data_time: 0.0212 memory: 17006 grad_norm: 11.5047 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3184 loss: 1.3184 2022/07/30 08:36:35 - mmengine - INFO - Epoch(train) [158][80/3757] lr: 3.9748e-04 eta: 9:59:33 time: 0.4143 data_time: 0.0221 memory: 17006 grad_norm: 11.3231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0073 loss: 1.0073 2022/07/30 08:36:43 - mmengine - INFO - Epoch(train) [158][100/3757] lr: 3.9748e-04 eta: 9:59:24 time: 0.4054 data_time: 0.0207 memory: 17006 grad_norm: 11.6879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0019 loss: 1.0019 2022/07/30 08:36:52 - mmengine - INFO - Epoch(train) [158][120/3757] lr: 3.9748e-04 eta: 9:59:16 time: 0.4222 data_time: 0.0227 memory: 17006 grad_norm: 11.8554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3042 loss: 1.3042 2022/07/30 08:37:00 - mmengine - INFO - Epoch(train) [158][140/3757] lr: 3.9748e-04 eta: 9:59:08 time: 0.4128 data_time: 0.0195 memory: 17006 grad_norm: 11.6333 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2071 loss: 1.2071 2022/07/30 08:37:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:37:09 - mmengine - INFO - Epoch(train) [158][160/3757] lr: 3.9748e-04 eta: 9:58:59 time: 0.4348 data_time: 0.0231 memory: 17006 grad_norm: 11.9812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0840 loss: 1.0840 2022/07/30 08:37:17 - mmengine - INFO - Epoch(train) [158][180/3757] lr: 3.9748e-04 eta: 9:58:51 time: 0.4080 data_time: 0.0193 memory: 17006 grad_norm: 11.9864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2359 loss: 1.2359 2022/07/30 08:37:26 - mmengine - INFO - Epoch(train) [158][200/3757] lr: 3.9748e-04 eta: 9:58:43 time: 0.4279 data_time: 0.0227 memory: 17006 grad_norm: 11.7239 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4051 loss: 1.4051 2022/07/30 08:37:34 - mmengine - INFO - Epoch(train) [158][220/3757] lr: 3.9748e-04 eta: 9:58:34 time: 0.4059 data_time: 0.0187 memory: 17006 grad_norm: 11.6968 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0533 loss: 1.0533 2022/07/30 08:37:42 - mmengine - INFO - Epoch(train) [158][240/3757] lr: 3.9748e-04 eta: 9:58:26 time: 0.4053 data_time: 0.0205 memory: 17006 grad_norm: 11.6833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1025 loss: 1.1025 2022/07/30 08:37:51 - mmengine - INFO - Epoch(train) [158][260/3757] lr: 3.9748e-04 eta: 9:58:18 time: 0.4292 data_time: 0.0210 memory: 17006 grad_norm: 11.4187 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0372 loss: 1.0372 2022/07/30 08:37:59 - mmengine - INFO - Epoch(train) [158][280/3757] lr: 3.9748e-04 eta: 9:58:09 time: 0.4073 data_time: 0.0219 memory: 17006 grad_norm: 11.6969 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3362 loss: 1.3362 2022/07/30 08:38:07 - mmengine - INFO - Epoch(train) [158][300/3757] lr: 3.9748e-04 eta: 9:58:01 time: 0.4267 data_time: 0.0214 memory: 17006 grad_norm: 11.7254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2308 loss: 1.2308 2022/07/30 08:38:15 - mmengine - INFO - Epoch(train) [158][320/3757] lr: 3.9748e-04 eta: 9:57:53 time: 0.4061 data_time: 0.0211 memory: 17006 grad_norm: 11.8858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1473 loss: 1.1473 2022/07/30 08:38:24 - mmengine - INFO - Epoch(train) [158][340/3757] lr: 3.9748e-04 eta: 9:57:44 time: 0.4043 data_time: 0.0200 memory: 17006 grad_norm: 11.9103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0607 loss: 1.0607 2022/07/30 08:38:32 - mmengine - INFO - Epoch(train) [158][360/3757] lr: 3.9748e-04 eta: 9:57:36 time: 0.4167 data_time: 0.0230 memory: 17006 grad_norm: 12.0093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3789 loss: 1.3789 2022/07/30 08:38:40 - mmengine - INFO - Epoch(train) [158][380/3757] lr: 3.9748e-04 eta: 9:57:27 time: 0.4075 data_time: 0.0207 memory: 17006 grad_norm: 11.7862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1972 loss: 1.1972 2022/07/30 08:38:49 - mmengine - INFO - Epoch(train) [158][400/3757] lr: 3.9748e-04 eta: 9:57:19 time: 0.4453 data_time: 0.0227 memory: 17006 grad_norm: 11.4494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0892 loss: 1.0892 2022/07/30 08:38:57 - mmengine - INFO - Epoch(train) [158][420/3757] lr: 3.9748e-04 eta: 9:57:11 time: 0.4053 data_time: 0.0203 memory: 17006 grad_norm: 11.4821 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2697 loss: 1.2697 2022/07/30 08:39:06 - mmengine - INFO - Epoch(train) [158][440/3757] lr: 3.9748e-04 eta: 9:57:03 time: 0.4274 data_time: 0.0230 memory: 17006 grad_norm: 11.5643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0828 loss: 1.0828 2022/07/30 08:39:14 - mmengine - INFO - Epoch(train) [158][460/3757] lr: 3.9748e-04 eta: 9:56:54 time: 0.4044 data_time: 0.0193 memory: 17006 grad_norm: 12.0903 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1143 loss: 1.1143 2022/07/30 08:39:22 - mmengine - INFO - Epoch(train) [158][480/3757] lr: 3.9748e-04 eta: 9:56:46 time: 0.4137 data_time: 0.0208 memory: 17006 grad_norm: 11.6424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1720 loss: 1.1720 2022/07/30 08:39:30 - mmengine - INFO - Epoch(train) [158][500/3757] lr: 3.9748e-04 eta: 9:56:38 time: 0.4170 data_time: 0.0219 memory: 17006 grad_norm: 11.9991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3940 loss: 1.3940 2022/07/30 08:39:39 - mmengine - INFO - Epoch(train) [158][520/3757] lr: 3.9748e-04 eta: 9:56:29 time: 0.4054 data_time: 0.0207 memory: 17006 grad_norm: 11.7444 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0892 loss: 1.0892 2022/07/30 08:39:47 - mmengine - INFO - Epoch(train) [158][540/3757] lr: 3.9748e-04 eta: 9:56:21 time: 0.4338 data_time: 0.0176 memory: 17006 grad_norm: 11.8419 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2518 loss: 1.2518 2022/07/30 08:39:56 - mmengine - INFO - Epoch(train) [158][560/3757] lr: 3.9748e-04 eta: 9:56:12 time: 0.4073 data_time: 0.0225 memory: 17006 grad_norm: 11.6033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2201 loss: 1.2201 2022/07/30 08:40:04 - mmengine - INFO - Epoch(train) [158][580/3757] lr: 3.9748e-04 eta: 9:56:04 time: 0.4056 data_time: 0.0192 memory: 17006 grad_norm: 11.8287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9913 loss: 0.9913 2022/07/30 08:40:12 - mmengine - INFO - Epoch(train) [158][600/3757] lr: 3.9748e-04 eta: 9:55:56 time: 0.4097 data_time: 0.0223 memory: 17006 grad_norm: 11.3376 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1301 loss: 1.1301 2022/07/30 08:40:20 - mmengine - INFO - Epoch(train) [158][620/3757] lr: 3.9748e-04 eta: 9:55:47 time: 0.4109 data_time: 0.0196 memory: 17006 grad_norm: 12.6396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2764 loss: 1.2764 2022/07/30 08:40:28 - mmengine - INFO - Epoch(train) [158][640/3757] lr: 3.9748e-04 eta: 9:55:39 time: 0.4141 data_time: 0.0236 memory: 17006 grad_norm: 11.4090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0665 loss: 1.0665 2022/07/30 08:40:37 - mmengine - INFO - Epoch(train) [158][660/3757] lr: 3.9748e-04 eta: 9:55:30 time: 0.4091 data_time: 0.0208 memory: 17006 grad_norm: 11.6932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/07/30 08:40:45 - mmengine - INFO - Epoch(train) [158][680/3757] lr: 3.9748e-04 eta: 9:55:22 time: 0.4068 data_time: 0.0208 memory: 17006 grad_norm: 11.8558 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0278 loss: 1.0278 2022/07/30 08:40:53 - mmengine - INFO - Epoch(train) [158][700/3757] lr: 3.9748e-04 eta: 9:55:14 time: 0.4080 data_time: 0.0196 memory: 17006 grad_norm: 10.9525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/07/30 08:41:02 - mmengine - INFO - Epoch(train) [158][720/3757] lr: 3.9748e-04 eta: 9:55:06 time: 0.4589 data_time: 0.0228 memory: 17006 grad_norm: 12.1303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1650 loss: 1.1650 2022/07/30 08:41:10 - mmengine - INFO - Epoch(train) [158][740/3757] lr: 3.9748e-04 eta: 9:54:57 time: 0.4051 data_time: 0.0200 memory: 17006 grad_norm: 11.4430 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3889 loss: 1.3889 2022/07/30 08:41:19 - mmengine - INFO - Epoch(train) [158][760/3757] lr: 3.9748e-04 eta: 9:54:49 time: 0.4308 data_time: 0.0249 memory: 17006 grad_norm: 11.9218 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1403 loss: 1.1403 2022/07/30 08:41:27 - mmengine - INFO - Epoch(train) [158][780/3757] lr: 3.9748e-04 eta: 9:54:41 time: 0.4082 data_time: 0.0178 memory: 17006 grad_norm: 11.8040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2594 loss: 1.2594 2022/07/30 08:41:36 - mmengine - INFO - Epoch(train) [158][800/3757] lr: 3.9748e-04 eta: 9:54:33 time: 0.4354 data_time: 0.0232 memory: 17006 grad_norm: 11.9331 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0386 loss: 1.0386 2022/07/30 08:41:44 - mmengine - INFO - Epoch(train) [158][820/3757] lr: 3.9748e-04 eta: 9:54:24 time: 0.4054 data_time: 0.0206 memory: 17006 grad_norm: 12.2302 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2403 loss: 1.2403 2022/07/30 08:41:52 - mmengine - INFO - Epoch(train) [158][840/3757] lr: 3.9748e-04 eta: 9:54:16 time: 0.4066 data_time: 0.0208 memory: 17006 grad_norm: 12.2312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2826 loss: 1.2826 2022/07/30 08:42:01 - mmengine - INFO - Epoch(train) [158][860/3757] lr: 3.9748e-04 eta: 9:54:07 time: 0.4210 data_time: 0.0209 memory: 17006 grad_norm: 12.1230 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1422 loss: 1.1422 2022/07/30 08:42:09 - mmengine - INFO - Epoch(train) [158][880/3757] lr: 3.9748e-04 eta: 9:53:59 time: 0.4066 data_time: 0.0208 memory: 17006 grad_norm: 11.5012 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/07/30 08:42:18 - mmengine - INFO - Epoch(train) [158][900/3757] lr: 3.9748e-04 eta: 9:53:51 time: 0.4574 data_time: 0.0217 memory: 17006 grad_norm: 11.7613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0753 loss: 1.0753 2022/07/30 08:42:26 - mmengine - INFO - Epoch(train) [158][920/3757] lr: 3.9748e-04 eta: 9:53:43 time: 0.4079 data_time: 0.0220 memory: 17006 grad_norm: 11.0651 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3053 loss: 1.3053 2022/07/30 08:42:34 - mmengine - INFO - Epoch(train) [158][940/3757] lr: 3.9748e-04 eta: 9:53:34 time: 0.4045 data_time: 0.0205 memory: 17006 grad_norm: 11.4093 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3072 loss: 1.3072 2022/07/30 08:42:43 - mmengine - INFO - Epoch(train) [158][960/3757] lr: 3.9748e-04 eta: 9:53:26 time: 0.4131 data_time: 0.0221 memory: 17006 grad_norm: 11.4704 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0998 loss: 1.0998 2022/07/30 08:42:51 - mmengine - INFO - Epoch(train) [158][980/3757] lr: 3.9748e-04 eta: 9:53:17 time: 0.4047 data_time: 0.0187 memory: 17006 grad_norm: 11.8822 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0809 loss: 1.0809 2022/07/30 08:43:00 - mmengine - INFO - Epoch(train) [158][1000/3757] lr: 3.9748e-04 eta: 9:53:09 time: 0.4408 data_time: 0.0229 memory: 17006 grad_norm: 11.5879 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8841 loss: 0.8841 2022/07/30 08:43:08 - mmengine - INFO - Epoch(train) [158][1020/3757] lr: 3.9748e-04 eta: 9:53:01 time: 0.4072 data_time: 0.0210 memory: 17006 grad_norm: 11.4989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3887 loss: 1.3887 2022/07/30 08:43:16 - mmengine - INFO - Epoch(train) [158][1040/3757] lr: 3.9748e-04 eta: 9:52:53 time: 0.4288 data_time: 0.0252 memory: 17006 grad_norm: 12.3720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2569 loss: 1.2569 2022/07/30 08:43:24 - mmengine - INFO - Epoch(train) [158][1060/3757] lr: 3.9748e-04 eta: 9:52:44 time: 0.4053 data_time: 0.0207 memory: 17006 grad_norm: 11.8016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2902 loss: 1.2902 2022/07/30 08:43:33 - mmengine - INFO - Epoch(train) [158][1080/3757] lr: 3.9748e-04 eta: 9:52:36 time: 0.4106 data_time: 0.0228 memory: 17006 grad_norm: 12.0246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9843 loss: 0.9843 2022/07/30 08:43:41 - mmengine - INFO - Epoch(train) [158][1100/3757] lr: 3.9748e-04 eta: 9:52:27 time: 0.4050 data_time: 0.0197 memory: 17006 grad_norm: 11.0252 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2344 loss: 1.2344 2022/07/30 08:43:49 - mmengine - INFO - Epoch(train) [158][1120/3757] lr: 3.9748e-04 eta: 9:52:19 time: 0.4198 data_time: 0.0226 memory: 17006 grad_norm: 11.4066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0650 loss: 1.0650 2022/07/30 08:43:57 - mmengine - INFO - Epoch(train) [158][1140/3757] lr: 3.9748e-04 eta: 9:52:10 time: 0.4053 data_time: 0.0193 memory: 17006 grad_norm: 12.2855 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2185 loss: 1.2185 2022/07/30 08:44:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:44:06 - mmengine - INFO - Epoch(train) [158][1160/3757] lr: 3.9748e-04 eta: 9:52:02 time: 0.4253 data_time: 0.0232 memory: 17006 grad_norm: 11.7147 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4387 loss: 1.4387 2022/07/30 08:44:14 - mmengine - INFO - Epoch(train) [158][1180/3757] lr: 3.9748e-04 eta: 9:51:54 time: 0.4042 data_time: 0.0186 memory: 17006 grad_norm: 11.8928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0109 loss: 1.0109 2022/07/30 08:44:22 - mmengine - INFO - Epoch(train) [158][1200/3757] lr: 3.9748e-04 eta: 9:51:45 time: 0.4057 data_time: 0.0210 memory: 17006 grad_norm: 11.9064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4164 loss: 1.4164 2022/07/30 08:44:31 - mmengine - INFO - Epoch(train) [158][1220/3757] lr: 3.9748e-04 eta: 9:51:37 time: 0.4237 data_time: 0.0202 memory: 17006 grad_norm: 11.6543 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0909 loss: 1.0909 2022/07/30 08:44:39 - mmengine - INFO - Epoch(train) [158][1240/3757] lr: 3.9748e-04 eta: 9:51:29 time: 0.4087 data_time: 0.0216 memory: 17006 grad_norm: 11.8734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4091 loss: 1.4091 2022/07/30 08:44:48 - mmengine - INFO - Epoch(train) [158][1260/3757] lr: 3.9748e-04 eta: 9:51:21 time: 0.4357 data_time: 0.0194 memory: 17006 grad_norm: 11.6179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2193 loss: 1.2193 2022/07/30 08:44:56 - mmengine - INFO - Epoch(train) [158][1280/3757] lr: 3.9748e-04 eta: 9:51:12 time: 0.4135 data_time: 0.0213 memory: 17006 grad_norm: 11.2228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9671 loss: 0.9671 2022/07/30 08:45:04 - mmengine - INFO - Epoch(train) [158][1300/3757] lr: 3.9748e-04 eta: 9:51:04 time: 0.4043 data_time: 0.0193 memory: 17006 grad_norm: 11.6015 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0774 loss: 1.0774 2022/07/30 08:45:13 - mmengine - INFO - Epoch(train) [158][1320/3757] lr: 3.9748e-04 eta: 9:50:56 time: 0.4350 data_time: 0.0228 memory: 17006 grad_norm: 12.4379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0717 loss: 1.0717 2022/07/30 08:45:21 - mmengine - INFO - Epoch(train) [158][1340/3757] lr: 3.9748e-04 eta: 9:50:47 time: 0.4053 data_time: 0.0188 memory: 17006 grad_norm: 11.4201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0809 loss: 1.0809 2022/07/30 08:45:29 - mmengine - INFO - Epoch(train) [158][1360/3757] lr: 3.9748e-04 eta: 9:50:39 time: 0.4158 data_time: 0.0220 memory: 17006 grad_norm: 11.0219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0090 loss: 1.0090 2022/07/30 08:45:38 - mmengine - INFO - Epoch(train) [158][1380/3757] lr: 3.9748e-04 eta: 9:50:30 time: 0.4118 data_time: 0.0203 memory: 17006 grad_norm: 11.3977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7163 loss: 1.7163 2022/07/30 08:45:46 - mmengine - INFO - Epoch(train) [158][1400/3757] lr: 3.9748e-04 eta: 9:50:22 time: 0.4186 data_time: 0.0221 memory: 17006 grad_norm: 11.9696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1673 loss: 1.1673 2022/07/30 08:45:54 - mmengine - INFO - Epoch(train) [158][1420/3757] lr: 3.9748e-04 eta: 9:50:14 time: 0.4038 data_time: 0.0187 memory: 17006 grad_norm: 11.2719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1147 loss: 1.1147 2022/07/30 08:46:03 - mmengine - INFO - Epoch(train) [158][1440/3757] lr: 3.9748e-04 eta: 9:50:05 time: 0.4235 data_time: 0.0224 memory: 17006 grad_norm: 11.5198 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1375 loss: 1.1375 2022/07/30 08:46:11 - mmengine - INFO - Epoch(train) [158][1460/3757] lr: 3.9748e-04 eta: 9:49:57 time: 0.4201 data_time: 0.0182 memory: 17006 grad_norm: 11.7749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1461 loss: 1.1461 2022/07/30 08:46:19 - mmengine - INFO - Epoch(train) [158][1480/3757] lr: 3.9748e-04 eta: 9:49:49 time: 0.4145 data_time: 0.0228 memory: 17006 grad_norm: 11.9595 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/07/30 08:46:28 - mmengine - INFO - Epoch(train) [158][1500/3757] lr: 3.9748e-04 eta: 9:49:41 time: 0.4345 data_time: 0.0184 memory: 17006 grad_norm: 12.0841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1801 loss: 1.1801 2022/07/30 08:46:37 - mmengine - INFO - Epoch(train) [158][1520/3757] lr: 3.9748e-04 eta: 9:49:32 time: 0.4283 data_time: 0.0229 memory: 17006 grad_norm: 11.1335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0498 loss: 1.0498 2022/07/30 08:46:45 - mmengine - INFO - Epoch(train) [158][1540/3757] lr: 3.9748e-04 eta: 9:49:24 time: 0.4049 data_time: 0.0181 memory: 17006 grad_norm: 11.5033 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/07/30 08:46:53 - mmengine - INFO - Epoch(train) [158][1560/3757] lr: 3.9748e-04 eta: 9:49:15 time: 0.4071 data_time: 0.0205 memory: 17006 grad_norm: 12.2118 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9575 loss: 0.9575 2022/07/30 08:47:02 - mmengine - INFO - Epoch(train) [158][1580/3757] lr: 3.9748e-04 eta: 9:49:07 time: 0.4405 data_time: 0.0253 memory: 17006 grad_norm: 11.7929 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2607 loss: 1.2607 2022/07/30 08:47:10 - mmengine - INFO - Epoch(train) [158][1600/3757] lr: 3.9748e-04 eta: 9:48:59 time: 0.4282 data_time: 0.0220 memory: 17006 grad_norm: 11.7632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3528 loss: 1.3528 2022/07/30 08:47:19 - mmengine - INFO - Epoch(train) [158][1620/3757] lr: 3.9748e-04 eta: 9:48:51 time: 0.4351 data_time: 0.0212 memory: 17006 grad_norm: 11.5452 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1248 loss: 1.1248 2022/07/30 08:47:27 - mmengine - INFO - Epoch(train) [158][1640/3757] lr: 3.9748e-04 eta: 9:48:43 time: 0.4052 data_time: 0.0206 memory: 17006 grad_norm: 11.9321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2340 loss: 1.2340 2022/07/30 08:47:35 - mmengine - INFO - Epoch(train) [158][1660/3757] lr: 3.9748e-04 eta: 9:48:34 time: 0.4113 data_time: 0.0212 memory: 17006 grad_norm: 11.6958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1918 loss: 1.1918 2022/07/30 08:47:44 - mmengine - INFO - Epoch(train) [158][1680/3757] lr: 3.9748e-04 eta: 9:48:26 time: 0.4083 data_time: 0.0220 memory: 17006 grad_norm: 11.5576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2593 loss: 1.2593 2022/07/30 08:47:52 - mmengine - INFO - Epoch(train) [158][1700/3757] lr: 3.9748e-04 eta: 9:48:17 time: 0.4139 data_time: 0.0184 memory: 17006 grad_norm: 11.5984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2750 loss: 1.2750 2022/07/30 08:48:00 - mmengine - INFO - Epoch(train) [158][1720/3757] lr: 3.9748e-04 eta: 9:48:09 time: 0.4146 data_time: 0.0222 memory: 17006 grad_norm: 12.1967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3476 loss: 1.3476 2022/07/30 08:48:09 - mmengine - INFO - Epoch(train) [158][1740/3757] lr: 3.9748e-04 eta: 9:48:01 time: 0.4118 data_time: 0.0218 memory: 17006 grad_norm: 11.8869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1797 loss: 1.1797 2022/07/30 08:48:17 - mmengine - INFO - Epoch(train) [158][1760/3757] lr: 3.9748e-04 eta: 9:47:52 time: 0.4162 data_time: 0.0228 memory: 17006 grad_norm: 11.8320 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1835 loss: 1.1835 2022/07/30 08:48:25 - mmengine - INFO - Epoch(train) [158][1780/3757] lr: 3.9748e-04 eta: 9:47:44 time: 0.4054 data_time: 0.0184 memory: 17006 grad_norm: 11.6738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0939 loss: 1.0939 2022/07/30 08:48:34 - mmengine - INFO - Epoch(train) [158][1800/3757] lr: 3.9748e-04 eta: 9:47:36 time: 0.4273 data_time: 0.0229 memory: 17006 grad_norm: 11.4009 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1587 loss: 1.1587 2022/07/30 08:48:42 - mmengine - INFO - Epoch(train) [158][1820/3757] lr: 3.9748e-04 eta: 9:47:27 time: 0.4124 data_time: 0.0213 memory: 17006 grad_norm: 11.3613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1368 loss: 1.1368 2022/07/30 08:48:50 - mmengine - INFO - Epoch(train) [158][1840/3757] lr: 3.9748e-04 eta: 9:47:19 time: 0.4166 data_time: 0.0224 memory: 17006 grad_norm: 12.2421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1157 loss: 1.1157 2022/07/30 08:48:59 - mmengine - INFO - Epoch(train) [158][1860/3757] lr: 3.9748e-04 eta: 9:47:11 time: 0.4292 data_time: 0.0215 memory: 17006 grad_norm: 11.7733 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1999 loss: 1.1999 2022/07/30 08:49:07 - mmengine - INFO - Epoch(train) [158][1880/3757] lr: 3.9748e-04 eta: 9:47:02 time: 0.4205 data_time: 0.0229 memory: 17006 grad_norm: 11.9377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0981 loss: 1.0981 2022/07/30 08:49:15 - mmengine - INFO - Epoch(train) [158][1900/3757] lr: 3.9748e-04 eta: 9:46:54 time: 0.4048 data_time: 0.0188 memory: 17006 grad_norm: 11.8809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2879 loss: 1.2879 2022/07/30 08:49:24 - mmengine - INFO - Epoch(train) [158][1920/3757] lr: 3.9748e-04 eta: 9:46:46 time: 0.4090 data_time: 0.0203 memory: 17006 grad_norm: 11.8172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9824 loss: 0.9824 2022/07/30 08:49:32 - mmengine - INFO - Epoch(train) [158][1940/3757] lr: 3.9748e-04 eta: 9:46:37 time: 0.4129 data_time: 0.0201 memory: 17006 grad_norm: 11.8068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/07/30 08:49:41 - mmengine - INFO - Epoch(train) [158][1960/3757] lr: 3.9748e-04 eta: 9:46:29 time: 0.4284 data_time: 0.0220 memory: 17006 grad_norm: 11.7856 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1853 loss: 1.1853 2022/07/30 08:49:49 - mmengine - INFO - Epoch(train) [158][1980/3757] lr: 3.9748e-04 eta: 9:46:21 time: 0.4231 data_time: 0.0214 memory: 17006 grad_norm: 11.4631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2657 loss: 1.2657 2022/07/30 08:49:57 - mmengine - INFO - Epoch(train) [158][2000/3757] lr: 3.9748e-04 eta: 9:46:12 time: 0.4111 data_time: 0.0217 memory: 17006 grad_norm: 11.8430 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4837 loss: 1.4837 2022/07/30 08:50:05 - mmengine - INFO - Epoch(train) [158][2020/3757] lr: 3.9748e-04 eta: 9:46:04 time: 0.4049 data_time: 0.0183 memory: 17006 grad_norm: 11.9131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3808 loss: 1.3808 2022/07/30 08:50:14 - mmengine - INFO - Epoch(train) [158][2040/3757] lr: 3.9748e-04 eta: 9:45:55 time: 0.4157 data_time: 0.0231 memory: 17006 grad_norm: 12.2574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2277 loss: 1.2277 2022/07/30 08:50:22 - mmengine - INFO - Epoch(train) [158][2060/3757] lr: 3.9748e-04 eta: 9:45:47 time: 0.4051 data_time: 0.0180 memory: 17006 grad_norm: 12.0664 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2932 loss: 1.2932 2022/07/30 08:50:30 - mmengine - INFO - Epoch(train) [158][2080/3757] lr: 3.9748e-04 eta: 9:45:39 time: 0.4155 data_time: 0.0224 memory: 17006 grad_norm: 11.9170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2868 loss: 1.2868 2022/07/30 08:50:38 - mmengine - INFO - Epoch(train) [158][2100/3757] lr: 3.9748e-04 eta: 9:45:30 time: 0.4059 data_time: 0.0193 memory: 17006 grad_norm: 11.8970 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/07/30 08:50:47 - mmengine - INFO - Epoch(train) [158][2120/3757] lr: 3.9748e-04 eta: 9:45:22 time: 0.4272 data_time: 0.0266 memory: 17006 grad_norm: 11.8809 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1974 loss: 1.1974 2022/07/30 08:50:55 - mmengine - INFO - Epoch(train) [158][2140/3757] lr: 3.9748e-04 eta: 9:45:14 time: 0.4042 data_time: 0.0184 memory: 17006 grad_norm: 12.3421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3751 loss: 1.3751 2022/07/30 08:51:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:51:04 - mmengine - INFO - Epoch(train) [158][2160/3757] lr: 3.9748e-04 eta: 9:45:05 time: 0.4379 data_time: 0.0202 memory: 17006 grad_norm: 11.7045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0512 loss: 1.0512 2022/07/30 08:51:12 - mmengine - INFO - Epoch(train) [158][2180/3757] lr: 3.9748e-04 eta: 9:44:57 time: 0.4209 data_time: 0.0206 memory: 17006 grad_norm: 12.1808 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4704 loss: 1.4704 2022/07/30 08:51:21 - mmengine - INFO - Epoch(train) [158][2200/3757] lr: 3.9748e-04 eta: 9:44:49 time: 0.4144 data_time: 0.0229 memory: 17006 grad_norm: 11.8478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3131 loss: 1.3131 2022/07/30 08:51:29 - mmengine - INFO - Epoch(train) [158][2220/3757] lr: 3.9748e-04 eta: 9:44:40 time: 0.4202 data_time: 0.0191 memory: 17006 grad_norm: 11.7548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1898 loss: 1.1898 2022/07/30 08:51:37 - mmengine - INFO - Epoch(train) [158][2240/3757] lr: 3.9748e-04 eta: 9:44:32 time: 0.4107 data_time: 0.0214 memory: 17006 grad_norm: 11.6862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2813 loss: 1.2813 2022/07/30 08:51:45 - mmengine - INFO - Epoch(train) [158][2260/3757] lr: 3.9748e-04 eta: 9:44:24 time: 0.4052 data_time: 0.0190 memory: 17006 grad_norm: 11.4494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9963 loss: 0.9963 2022/07/30 08:51:54 - mmengine - INFO - Epoch(train) [158][2280/3757] lr: 3.9748e-04 eta: 9:44:15 time: 0.4354 data_time: 0.0241 memory: 17006 grad_norm: 11.9133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3429 loss: 1.3429 2022/07/30 08:52:02 - mmengine - INFO - Epoch(train) [158][2300/3757] lr: 3.9748e-04 eta: 9:44:07 time: 0.4107 data_time: 0.0200 memory: 17006 grad_norm: 11.7892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1428 loss: 1.1428 2022/07/30 08:52:11 - mmengine - INFO - Epoch(train) [158][2320/3757] lr: 3.9748e-04 eta: 9:43:59 time: 0.4403 data_time: 0.0237 memory: 17006 grad_norm: 11.3292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5359 loss: 1.5359 2022/07/30 08:52:19 - mmengine - INFO - Epoch(train) [158][2340/3757] lr: 3.9748e-04 eta: 9:43:51 time: 0.4071 data_time: 0.0191 memory: 17006 grad_norm: 11.4336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4678 loss: 1.4678 2022/07/30 08:52:28 - mmengine - INFO - Epoch(train) [158][2360/3757] lr: 3.9748e-04 eta: 9:43:42 time: 0.4366 data_time: 0.0240 memory: 17006 grad_norm: 11.5034 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5133 loss: 1.5133 2022/07/30 08:52:36 - mmengine - INFO - Epoch(train) [158][2380/3757] lr: 3.9748e-04 eta: 9:43:34 time: 0.4056 data_time: 0.0182 memory: 17006 grad_norm: 11.7739 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1986 loss: 1.1986 2022/07/30 08:52:44 - mmengine - INFO - Epoch(train) [158][2400/3757] lr: 3.9748e-04 eta: 9:43:26 time: 0.4063 data_time: 0.0214 memory: 17006 grad_norm: 11.5872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0742 loss: 1.0742 2022/07/30 08:52:54 - mmengine - INFO - Epoch(train) [158][2420/3757] lr: 3.9748e-04 eta: 9:43:18 time: 0.4516 data_time: 0.0208 memory: 17006 grad_norm: 11.9936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2027 loss: 1.2027 2022/07/30 08:53:02 - mmengine - INFO - Epoch(train) [158][2440/3757] lr: 3.9748e-04 eta: 9:43:09 time: 0.4065 data_time: 0.0220 memory: 17006 grad_norm: 11.6354 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0009 loss: 1.0009 2022/07/30 08:53:10 - mmengine - INFO - Epoch(train) [158][2460/3757] lr: 3.9748e-04 eta: 9:43:01 time: 0.4165 data_time: 0.0193 memory: 17006 grad_norm: 11.7375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3474 loss: 1.3474 2022/07/30 08:53:18 - mmengine - INFO - Epoch(train) [158][2480/3757] lr: 3.9748e-04 eta: 9:42:52 time: 0.4071 data_time: 0.0228 memory: 17006 grad_norm: 11.7148 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2502 loss: 1.2502 2022/07/30 08:53:28 - mmengine - INFO - Epoch(train) [158][2500/3757] lr: 3.9748e-04 eta: 9:42:45 time: 0.4725 data_time: 0.0174 memory: 17006 grad_norm: 11.9042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2199 loss: 1.2199 2022/07/30 08:53:36 - mmengine - INFO - Epoch(train) [158][2520/3757] lr: 3.9748e-04 eta: 9:42:36 time: 0.4079 data_time: 0.0215 memory: 17006 grad_norm: 12.0789 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1668 loss: 1.1668 2022/07/30 08:53:44 - mmengine - INFO - Epoch(train) [158][2540/3757] lr: 3.9748e-04 eta: 9:42:28 time: 0.4046 data_time: 0.0187 memory: 17006 grad_norm: 11.7700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2365 loss: 1.2365 2022/07/30 08:53:52 - mmengine - INFO - Epoch(train) [158][2560/3757] lr: 3.9748e-04 eta: 9:42:19 time: 0.4190 data_time: 0.0224 memory: 17006 grad_norm: 11.8737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4071 loss: 1.4071 2022/07/30 08:54:01 - mmengine - INFO - Epoch(train) [158][2580/3757] lr: 3.9748e-04 eta: 9:42:11 time: 0.4047 data_time: 0.0197 memory: 17006 grad_norm: 11.4412 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1668 loss: 1.1668 2022/07/30 08:54:09 - mmengine - INFO - Epoch(train) [158][2600/3757] lr: 3.9748e-04 eta: 9:42:03 time: 0.4128 data_time: 0.0220 memory: 17006 grad_norm: 11.0506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0449 loss: 1.0449 2022/07/30 08:54:17 - mmengine - INFO - Epoch(train) [158][2620/3757] lr: 3.9748e-04 eta: 9:41:54 time: 0.4050 data_time: 0.0195 memory: 17006 grad_norm: 11.4826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1755 loss: 1.1755 2022/07/30 08:54:25 - mmengine - INFO - Epoch(train) [158][2640/3757] lr: 3.9748e-04 eta: 9:41:46 time: 0.4056 data_time: 0.0205 memory: 17006 grad_norm: 12.1554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1301 loss: 1.1301 2022/07/30 08:54:34 - mmengine - INFO - Epoch(train) [158][2660/3757] lr: 3.9748e-04 eta: 9:41:37 time: 0.4249 data_time: 0.0205 memory: 17006 grad_norm: 12.3863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/07/30 08:54:42 - mmengine - INFO - Epoch(train) [158][2680/3757] lr: 3.9748e-04 eta: 9:41:29 time: 0.4062 data_time: 0.0212 memory: 17006 grad_norm: 11.9661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/07/30 08:54:50 - mmengine - INFO - Epoch(train) [158][2700/3757] lr: 3.9748e-04 eta: 9:41:21 time: 0.4335 data_time: 0.0199 memory: 17006 grad_norm: 11.3424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1125 loss: 1.1125 2022/07/30 08:54:59 - mmengine - INFO - Epoch(train) [158][2720/3757] lr: 3.9748e-04 eta: 9:41:12 time: 0.4085 data_time: 0.0224 memory: 17006 grad_norm: 11.1810 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2756 loss: 1.2756 2022/07/30 08:55:08 - mmengine - INFO - Epoch(train) [158][2740/3757] lr: 3.9748e-04 eta: 9:41:04 time: 0.4511 data_time: 0.0197 memory: 17006 grad_norm: 11.9904 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1617 loss: 1.1617 2022/07/30 08:55:16 - mmengine - INFO - Epoch(train) [158][2760/3757] lr: 3.9748e-04 eta: 9:40:56 time: 0.4067 data_time: 0.0215 memory: 17006 grad_norm: 12.1839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1689 loss: 1.1689 2022/07/30 08:55:24 - mmengine - INFO - Epoch(train) [158][2780/3757] lr: 3.9748e-04 eta: 9:40:48 time: 0.4060 data_time: 0.0185 memory: 17006 grad_norm: 11.4970 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3337 loss: 1.3337 2022/07/30 08:55:32 - mmengine - INFO - Epoch(train) [158][2800/3757] lr: 3.9748e-04 eta: 9:40:39 time: 0.4183 data_time: 0.0231 memory: 17006 grad_norm: 11.6444 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2389 loss: 1.2389 2022/07/30 08:55:41 - mmengine - INFO - Epoch(train) [158][2820/3757] lr: 3.9748e-04 eta: 9:40:31 time: 0.4093 data_time: 0.0208 memory: 17006 grad_norm: 11.2641 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0950 loss: 1.0950 2022/07/30 08:55:49 - mmengine - INFO - Epoch(train) [158][2840/3757] lr: 3.9748e-04 eta: 9:40:23 time: 0.4176 data_time: 0.0230 memory: 17006 grad_norm: 11.7585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2731 loss: 1.2731 2022/07/30 08:55:58 - mmengine - INFO - Epoch(train) [158][2860/3757] lr: 3.9748e-04 eta: 9:40:15 time: 0.4488 data_time: 0.0202 memory: 17006 grad_norm: 11.9359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3998 loss: 1.3998 2022/07/30 08:56:06 - mmengine - INFO - Epoch(train) [158][2880/3757] lr: 3.9748e-04 eta: 9:40:06 time: 0.4048 data_time: 0.0207 memory: 17006 grad_norm: 11.5965 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1827 loss: 1.1827 2022/07/30 08:56:14 - mmengine - INFO - Epoch(train) [158][2900/3757] lr: 3.9748e-04 eta: 9:39:58 time: 0.4143 data_time: 0.0192 memory: 17006 grad_norm: 11.6519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2521 loss: 1.2521 2022/07/30 08:56:23 - mmengine - INFO - Epoch(train) [158][2920/3757] lr: 3.9748e-04 eta: 9:39:49 time: 0.4110 data_time: 0.0213 memory: 17006 grad_norm: 11.4248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2966 loss: 1.2966 2022/07/30 08:56:31 - mmengine - INFO - Epoch(train) [158][2940/3757] lr: 3.9748e-04 eta: 9:39:41 time: 0.4121 data_time: 0.0197 memory: 17006 grad_norm: 11.3605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0585 loss: 1.0585 2022/07/30 08:56:39 - mmengine - INFO - Epoch(train) [158][2960/3757] lr: 3.9748e-04 eta: 9:39:33 time: 0.4185 data_time: 0.0211 memory: 17006 grad_norm: 11.7222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1605 loss: 1.1605 2022/07/30 08:56:48 - mmengine - INFO - Epoch(train) [158][2980/3757] lr: 3.9748e-04 eta: 9:39:24 time: 0.4151 data_time: 0.0197 memory: 17006 grad_norm: 11.4390 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9945 loss: 0.9945 2022/07/30 08:56:56 - mmengine - INFO - Epoch(train) [158][3000/3757] lr: 3.9748e-04 eta: 9:39:16 time: 0.4077 data_time: 0.0229 memory: 17006 grad_norm: 12.5151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3027 loss: 1.3027 2022/07/30 08:57:04 - mmengine - INFO - Epoch(train) [158][3020/3757] lr: 3.9748e-04 eta: 9:39:07 time: 0.4122 data_time: 0.0190 memory: 17006 grad_norm: 11.4097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9074 loss: 0.9074 2022/07/30 08:57:13 - mmengine - INFO - Epoch(train) [158][3040/3757] lr: 3.9748e-04 eta: 9:38:59 time: 0.4155 data_time: 0.0220 memory: 17006 grad_norm: 11.1069 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2910 loss: 1.2910 2022/07/30 08:57:21 - mmengine - INFO - Epoch(train) [158][3060/3757] lr: 3.9748e-04 eta: 9:38:51 time: 0.4122 data_time: 0.0186 memory: 17006 grad_norm: 11.1221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/07/30 08:57:29 - mmengine - INFO - Epoch(train) [158][3080/3757] lr: 3.9748e-04 eta: 9:38:42 time: 0.4136 data_time: 0.0229 memory: 17006 grad_norm: 11.2830 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9136 loss: 0.9136 2022/07/30 08:57:37 - mmengine - INFO - Epoch(train) [158][3100/3757] lr: 3.9748e-04 eta: 9:38:34 time: 0.4076 data_time: 0.0184 memory: 17006 grad_norm: 12.4278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2355 loss: 1.2355 2022/07/30 08:57:45 - mmengine - INFO - Epoch(train) [158][3120/3757] lr: 3.9748e-04 eta: 9:38:25 time: 0.4055 data_time: 0.0210 memory: 17006 grad_norm: 11.6129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3976 loss: 1.3976 2022/07/30 08:57:54 - mmengine - INFO - Epoch(train) [158][3140/3757] lr: 3.9748e-04 eta: 9:38:17 time: 0.4231 data_time: 0.0199 memory: 17006 grad_norm: 11.5152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3546 loss: 1.3546 2022/07/30 08:57:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 08:58:02 - mmengine - INFO - Epoch(train) [158][3160/3757] lr: 3.9748e-04 eta: 9:38:09 time: 0.4106 data_time: 0.0219 memory: 17006 grad_norm: 11.2284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2565 loss: 1.2565 2022/07/30 08:58:10 - mmengine - INFO - Epoch(train) [158][3180/3757] lr: 3.9748e-04 eta: 9:38:00 time: 0.4126 data_time: 0.0211 memory: 17006 grad_norm: 11.8879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1378 loss: 1.1378 2022/07/30 08:58:19 - mmengine - INFO - Epoch(train) [158][3200/3757] lr: 3.9748e-04 eta: 9:37:52 time: 0.4215 data_time: 0.0223 memory: 17006 grad_norm: 11.6965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2422 loss: 1.2422 2022/07/30 08:58:27 - mmengine - INFO - Epoch(train) [158][3220/3757] lr: 3.9748e-04 eta: 9:37:44 time: 0.4136 data_time: 0.0201 memory: 17006 grad_norm: 11.2183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1424 loss: 1.1424 2022/07/30 08:58:35 - mmengine - INFO - Epoch(train) [158][3240/3757] lr: 3.9748e-04 eta: 9:37:35 time: 0.4074 data_time: 0.0214 memory: 17006 grad_norm: 11.1793 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0484 loss: 1.0484 2022/07/30 08:58:44 - mmengine - INFO - Epoch(train) [158][3260/3757] lr: 3.9748e-04 eta: 9:37:27 time: 0.4062 data_time: 0.0189 memory: 17006 grad_norm: 11.7770 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5756 loss: 1.5756 2022/07/30 08:58:52 - mmengine - INFO - Epoch(train) [158][3280/3757] lr: 3.9748e-04 eta: 9:37:19 time: 0.4280 data_time: 0.0218 memory: 17006 grad_norm: 11.7869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/07/30 08:59:00 - mmengine - INFO - Epoch(train) [158][3300/3757] lr: 3.9748e-04 eta: 9:37:10 time: 0.4058 data_time: 0.0198 memory: 17006 grad_norm: 11.6535 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2776 loss: 1.2776 2022/07/30 08:59:09 - mmengine - INFO - Epoch(train) [158][3320/3757] lr: 3.9748e-04 eta: 9:37:02 time: 0.4286 data_time: 0.0232 memory: 17006 grad_norm: 11.2802 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1091 loss: 1.1091 2022/07/30 08:59:17 - mmengine - INFO - Epoch(train) [158][3340/3757] lr: 3.9748e-04 eta: 9:36:54 time: 0.4060 data_time: 0.0200 memory: 17006 grad_norm: 11.6363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1703 loss: 1.1703 2022/07/30 08:59:25 - mmengine - INFO - Epoch(train) [158][3360/3757] lr: 3.9748e-04 eta: 9:36:45 time: 0.4072 data_time: 0.0229 memory: 17006 grad_norm: 11.3313 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2611 loss: 1.2611 2022/07/30 08:59:34 - mmengine - INFO - Epoch(train) [158][3380/3757] lr: 3.9748e-04 eta: 9:36:37 time: 0.4206 data_time: 0.0213 memory: 17006 grad_norm: 11.6374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/07/30 08:59:42 - mmengine - INFO - Epoch(train) [158][3400/3757] lr: 3.9748e-04 eta: 9:36:29 time: 0.4152 data_time: 0.0213 memory: 17006 grad_norm: 11.5278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9801 loss: 0.9801 2022/07/30 08:59:51 - mmengine - INFO - Epoch(train) [158][3420/3757] lr: 3.9748e-04 eta: 9:36:20 time: 0.4304 data_time: 0.0204 memory: 17006 grad_norm: 11.9598 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3562 loss: 1.3562 2022/07/30 08:59:59 - mmengine - INFO - Epoch(train) [158][3440/3757] lr: 3.9748e-04 eta: 9:36:12 time: 0.4124 data_time: 0.0220 memory: 17006 grad_norm: 11.3340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9856 loss: 0.9856 2022/07/30 09:00:07 - mmengine - INFO - Epoch(train) [158][3460/3757] lr: 3.9748e-04 eta: 9:36:04 time: 0.4165 data_time: 0.0248 memory: 17006 grad_norm: 11.3687 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1221 loss: 1.1221 2022/07/30 09:00:15 - mmengine - INFO - Epoch(train) [158][3480/3757] lr: 3.9748e-04 eta: 9:35:55 time: 0.4055 data_time: 0.0206 memory: 17006 grad_norm: 11.4976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0942 loss: 1.0942 2022/07/30 09:00:24 - mmengine - INFO - Epoch(train) [158][3500/3757] lr: 3.9748e-04 eta: 9:35:47 time: 0.4069 data_time: 0.0188 memory: 17006 grad_norm: 11.8275 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1726 loss: 1.1726 2022/07/30 09:00:32 - mmengine - INFO - Epoch(train) [158][3520/3757] lr: 3.9748e-04 eta: 9:35:38 time: 0.4264 data_time: 0.0235 memory: 17006 grad_norm: 11.6413 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2023 loss: 1.2023 2022/07/30 09:00:40 - mmengine - INFO - Epoch(train) [158][3540/3757] lr: 3.9748e-04 eta: 9:35:30 time: 0.4064 data_time: 0.0188 memory: 17006 grad_norm: 11.7528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/07/30 09:00:49 - mmengine - INFO - Epoch(train) [158][3560/3757] lr: 3.9748e-04 eta: 9:35:22 time: 0.4202 data_time: 0.0227 memory: 17006 grad_norm: 11.7689 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0059 loss: 1.0059 2022/07/30 09:00:57 - mmengine - INFO - Epoch(train) [158][3580/3757] lr: 3.9748e-04 eta: 9:35:13 time: 0.4046 data_time: 0.0191 memory: 17006 grad_norm: 11.3582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3008 loss: 1.3008 2022/07/30 09:01:05 - mmengine - INFO - Epoch(train) [158][3600/3757] lr: 3.9748e-04 eta: 9:35:05 time: 0.4051 data_time: 0.0207 memory: 17006 grad_norm: 11.8483 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2284 loss: 1.2284 2022/07/30 09:01:13 - mmengine - INFO - Epoch(train) [158][3620/3757] lr: 3.9748e-04 eta: 9:34:57 time: 0.4237 data_time: 0.0191 memory: 17006 grad_norm: 11.1076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2215 loss: 1.2215 2022/07/30 09:01:22 - mmengine - INFO - Epoch(train) [158][3640/3757] lr: 3.9748e-04 eta: 9:34:48 time: 0.4073 data_time: 0.0221 memory: 17006 grad_norm: 11.7859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2538 loss: 1.2538 2022/07/30 09:01:30 - mmengine - INFO - Epoch(train) [158][3660/3757] lr: 3.9748e-04 eta: 9:34:40 time: 0.4359 data_time: 0.0204 memory: 17006 grad_norm: 11.6039 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9341 loss: 0.9341 2022/07/30 09:01:39 - mmengine - INFO - Epoch(train) [158][3680/3757] lr: 3.9748e-04 eta: 9:34:32 time: 0.4085 data_time: 0.0229 memory: 17006 grad_norm: 11.6232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2002 loss: 1.2002 2022/07/30 09:01:47 - mmengine - INFO - Epoch(train) [158][3700/3757] lr: 3.9748e-04 eta: 9:34:23 time: 0.4057 data_time: 0.0199 memory: 17006 grad_norm: 11.8684 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4212 loss: 1.4212 2022/07/30 09:01:55 - mmengine - INFO - Epoch(train) [158][3720/3757] lr: 3.9748e-04 eta: 9:34:15 time: 0.4226 data_time: 0.0303 memory: 17006 grad_norm: 11.1251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2676 loss: 1.2676 2022/07/30 09:02:03 - mmengine - INFO - Epoch(train) [158][3740/3757] lr: 3.9748e-04 eta: 9:34:06 time: 0.4064 data_time: 0.0190 memory: 17006 grad_norm: 11.8949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1126 loss: 1.1126 2022/07/30 09:02:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:02:11 - mmengine - INFO - Epoch(train) [158][3757/3757] lr: 3.9748e-04 eta: 9:34:06 time: 0.4359 data_time: 0.0223 memory: 17006 grad_norm: 11.9064 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3182 loss: 1.3182 2022/07/30 09:02:11 - mmengine - INFO - Saving checkpoint at 158 epochs 2022/07/30 09:02:24 - mmengine - INFO - Epoch(train) [159][20/3757] lr: 3.6408e-04 eta: 9:33:48 time: 0.4639 data_time: 0.0751 memory: 17006 grad_norm: 11.3396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3333 loss: 1.3333 2022/07/30 09:02:32 - mmengine - INFO - Epoch(train) [159][40/3757] lr: 3.6408e-04 eta: 9:33:39 time: 0.4147 data_time: 0.0219 memory: 17006 grad_norm: 11.3344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2835 loss: 1.2835 2022/07/30 09:02:41 - mmengine - INFO - Epoch(train) [159][60/3757] lr: 3.6408e-04 eta: 9:33:31 time: 0.4182 data_time: 0.0207 memory: 17006 grad_norm: 12.0422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3038 loss: 1.3038 2022/07/30 09:02:49 - mmengine - INFO - Epoch(train) [159][80/3757] lr: 3.6408e-04 eta: 9:33:23 time: 0.4155 data_time: 0.0224 memory: 17006 grad_norm: 11.1424 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/30 09:02:57 - mmengine - INFO - Epoch(train) [159][100/3757] lr: 3.6408e-04 eta: 9:33:14 time: 0.4140 data_time: 0.0208 memory: 17006 grad_norm: 11.5494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1411 loss: 1.1411 2022/07/30 09:03:06 - mmengine - INFO - Epoch(train) [159][120/3757] lr: 3.6408e-04 eta: 9:33:06 time: 0.4067 data_time: 0.0205 memory: 17006 grad_norm: 11.5120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1451 loss: 1.1451 2022/07/30 09:03:14 - mmengine - INFO - Epoch(train) [159][140/3757] lr: 3.6408e-04 eta: 9:32:58 time: 0.4255 data_time: 0.0228 memory: 17006 grad_norm: 11.5064 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1303 loss: 1.1303 2022/07/30 09:03:23 - mmengine - INFO - Epoch(train) [159][160/3757] lr: 3.6408e-04 eta: 9:32:50 time: 0.4347 data_time: 0.0200 memory: 17006 grad_norm: 11.9366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4363 loss: 1.4363 2022/07/30 09:03:31 - mmengine - INFO - Epoch(train) [159][180/3757] lr: 3.6408e-04 eta: 9:32:41 time: 0.4238 data_time: 0.0217 memory: 17006 grad_norm: 11.6769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/07/30 09:03:40 - mmengine - INFO - Epoch(train) [159][200/3757] lr: 3.6408e-04 eta: 9:32:33 time: 0.4051 data_time: 0.0210 memory: 17006 grad_norm: 11.5217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/07/30 09:03:48 - mmengine - INFO - Epoch(train) [159][220/3757] lr: 3.6408e-04 eta: 9:32:25 time: 0.4263 data_time: 0.0231 memory: 17006 grad_norm: 11.5387 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1711 loss: 1.1711 2022/07/30 09:03:56 - mmengine - INFO - Epoch(train) [159][240/3757] lr: 3.6408e-04 eta: 9:32:16 time: 0.4051 data_time: 0.0216 memory: 17006 grad_norm: 11.7698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0731 loss: 1.0731 2022/07/30 09:04:05 - mmengine - INFO - Epoch(train) [159][260/3757] lr: 3.6408e-04 eta: 9:32:08 time: 0.4290 data_time: 0.0208 memory: 17006 grad_norm: 11.3492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9508 loss: 0.9508 2022/07/30 09:04:13 - mmengine - INFO - Epoch(train) [159][280/3757] lr: 3.6408e-04 eta: 9:32:00 time: 0.4195 data_time: 0.0226 memory: 17006 grad_norm: 11.6985 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0724 loss: 1.0724 2022/07/30 09:04:21 - mmengine - INFO - Epoch(train) [159][300/3757] lr: 3.6408e-04 eta: 9:31:51 time: 0.4082 data_time: 0.0216 memory: 17006 grad_norm: 11.8810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1965 loss: 1.1965 2022/07/30 09:04:30 - mmengine - INFO - Epoch(train) [159][320/3757] lr: 3.6408e-04 eta: 9:31:43 time: 0.4102 data_time: 0.0219 memory: 17006 grad_norm: 11.7873 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3016 loss: 1.3016 2022/07/30 09:04:38 - mmengine - INFO - Epoch(train) [159][340/3757] lr: 3.6408e-04 eta: 9:31:35 time: 0.4276 data_time: 0.0252 memory: 17006 grad_norm: 11.7010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0183 loss: 1.0183 2022/07/30 09:04:46 - mmengine - INFO - Epoch(train) [159][360/3757] lr: 3.6408e-04 eta: 9:31:26 time: 0.4043 data_time: 0.0210 memory: 17006 grad_norm: 11.5355 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2308 loss: 1.2308 2022/07/30 09:04:55 - mmengine - INFO - Epoch(train) [159][380/3757] lr: 3.6408e-04 eta: 9:31:18 time: 0.4067 data_time: 0.0207 memory: 17006 grad_norm: 11.7484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2355 loss: 1.2355 2022/07/30 09:05:01 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:05:03 - mmengine - INFO - Epoch(train) [159][400/3757] lr: 3.6408e-04 eta: 9:31:09 time: 0.4213 data_time: 0.0236 memory: 17006 grad_norm: 11.6752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1505 loss: 1.1505 2022/07/30 09:05:11 - mmengine - INFO - Epoch(train) [159][420/3757] lr: 3.6408e-04 eta: 9:31:01 time: 0.4064 data_time: 0.0210 memory: 17006 grad_norm: 11.5179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2261 loss: 1.2261 2022/07/30 09:05:20 - mmengine - INFO - Epoch(train) [159][440/3757] lr: 3.6408e-04 eta: 9:30:53 time: 0.4368 data_time: 0.0237 memory: 17006 grad_norm: 11.7591 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0333 loss: 1.0333 2022/07/30 09:05:28 - mmengine - INFO - Epoch(train) [159][460/3757] lr: 3.6408e-04 eta: 9:30:44 time: 0.4066 data_time: 0.0206 memory: 17006 grad_norm: 11.7906 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1907 loss: 1.1907 2022/07/30 09:05:36 - mmengine - INFO - Epoch(train) [159][480/3757] lr: 3.6408e-04 eta: 9:30:36 time: 0.4075 data_time: 0.0214 memory: 17006 grad_norm: 12.0340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9261 loss: 0.9261 2022/07/30 09:05:45 - mmengine - INFO - Epoch(train) [159][500/3757] lr: 3.6408e-04 eta: 9:30:28 time: 0.4389 data_time: 0.0221 memory: 17006 grad_norm: 11.4391 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0528 loss: 1.0528 2022/07/30 09:05:53 - mmengine - INFO - Epoch(train) [159][520/3757] lr: 3.6408e-04 eta: 9:30:20 time: 0.4061 data_time: 0.0211 memory: 17006 grad_norm: 11.8483 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2828 loss: 1.2828 2022/07/30 09:06:02 - mmengine - INFO - Epoch(train) [159][540/3757] lr: 3.6408e-04 eta: 9:30:11 time: 0.4149 data_time: 0.0220 memory: 17006 grad_norm: 11.7071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/07/30 09:06:10 - mmengine - INFO - Epoch(train) [159][560/3757] lr: 3.6408e-04 eta: 9:30:03 time: 0.4092 data_time: 0.0218 memory: 17006 grad_norm: 12.2706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1531 loss: 1.1531 2022/07/30 09:06:18 - mmengine - INFO - Epoch(train) [159][580/3757] lr: 3.6408e-04 eta: 9:29:54 time: 0.4208 data_time: 0.0220 memory: 17006 grad_norm: 11.3760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1866 loss: 1.1866 2022/07/30 09:06:26 - mmengine - INFO - Epoch(train) [159][600/3757] lr: 3.6408e-04 eta: 9:29:46 time: 0.4048 data_time: 0.0196 memory: 17006 grad_norm: 12.0095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3109 loss: 1.3109 2022/07/30 09:06:35 - mmengine - INFO - Epoch(train) [159][620/3757] lr: 3.6408e-04 eta: 9:29:38 time: 0.4107 data_time: 0.0216 memory: 17006 grad_norm: 11.7437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2021 loss: 1.2021 2022/07/30 09:06:43 - mmengine - INFO - Epoch(train) [159][640/3757] lr: 3.6408e-04 eta: 9:29:29 time: 0.4184 data_time: 0.0240 memory: 17006 grad_norm: 11.6800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0775 loss: 1.0775 2022/07/30 09:06:51 - mmengine - INFO - Epoch(train) [159][660/3757] lr: 3.6408e-04 eta: 9:29:21 time: 0.4063 data_time: 0.0215 memory: 17006 grad_norm: 12.0347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2728 loss: 1.2728 2022/07/30 09:07:00 - mmengine - INFO - Epoch(train) [159][680/3757] lr: 3.6408e-04 eta: 9:29:13 time: 0.4276 data_time: 0.0284 memory: 17006 grad_norm: 11.5934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9778 loss: 0.9778 2022/07/30 09:07:08 - mmengine - INFO - Epoch(train) [159][700/3757] lr: 3.6408e-04 eta: 9:29:04 time: 0.4197 data_time: 0.0212 memory: 17006 grad_norm: 11.9844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2248 loss: 1.2248 2022/07/30 09:07:16 - mmengine - INFO - Epoch(train) [159][720/3757] lr: 3.6408e-04 eta: 9:28:56 time: 0.4052 data_time: 0.0201 memory: 17006 grad_norm: 11.0400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1493 loss: 1.1493 2022/07/30 09:07:25 - mmengine - INFO - Epoch(train) [159][740/3757] lr: 3.6408e-04 eta: 9:28:48 time: 0.4149 data_time: 0.0222 memory: 17006 grad_norm: 11.9945 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2384 loss: 1.2384 2022/07/30 09:07:33 - mmengine - INFO - Epoch(train) [159][760/3757] lr: 3.6408e-04 eta: 9:28:39 time: 0.4156 data_time: 0.0209 memory: 17006 grad_norm: 11.9260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1454 loss: 1.1454 2022/07/30 09:07:41 - mmengine - INFO - Epoch(train) [159][780/3757] lr: 3.6408e-04 eta: 9:28:31 time: 0.4163 data_time: 0.0232 memory: 17006 grad_norm: 12.2888 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2732 loss: 1.2732 2022/07/30 09:07:49 - mmengine - INFO - Epoch(train) [159][800/3757] lr: 3.6408e-04 eta: 9:28:22 time: 0.4078 data_time: 0.0206 memory: 17006 grad_norm: 11.9176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1863 loss: 1.1863 2022/07/30 09:07:58 - mmengine - INFO - Epoch(train) [159][820/3757] lr: 3.6408e-04 eta: 9:28:14 time: 0.4199 data_time: 0.0212 memory: 17006 grad_norm: 11.0368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/07/30 09:08:06 - mmengine - INFO - Epoch(train) [159][840/3757] lr: 3.6408e-04 eta: 9:28:06 time: 0.4052 data_time: 0.0201 memory: 17006 grad_norm: 11.5795 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0959 loss: 1.0959 2022/07/30 09:08:15 - mmengine - INFO - Epoch(train) [159][860/3757] lr: 3.6408e-04 eta: 9:27:57 time: 0.4282 data_time: 0.0213 memory: 17006 grad_norm: 11.6035 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3513 loss: 1.3513 2022/07/30 09:08:23 - mmengine - INFO - Epoch(train) [159][880/3757] lr: 3.6408e-04 eta: 9:27:49 time: 0.4252 data_time: 0.0231 memory: 17006 grad_norm: 11.1814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/07/30 09:08:32 - mmengine - INFO - Epoch(train) [159][900/3757] lr: 3.6408e-04 eta: 9:27:41 time: 0.4386 data_time: 0.0214 memory: 17006 grad_norm: 11.9676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3186 loss: 1.3186 2022/07/30 09:08:40 - mmengine - INFO - Epoch(train) [159][920/3757] lr: 3.6408e-04 eta: 9:27:33 time: 0.4217 data_time: 0.0204 memory: 17006 grad_norm: 11.4192 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2448 loss: 1.2448 2022/07/30 09:08:49 - mmengine - INFO - Epoch(train) [159][940/3757] lr: 3.6408e-04 eta: 9:27:24 time: 0.4074 data_time: 0.0212 memory: 17006 grad_norm: 11.3339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/07/30 09:08:57 - mmengine - INFO - Epoch(train) [159][960/3757] lr: 3.6408e-04 eta: 9:27:16 time: 0.4053 data_time: 0.0205 memory: 17006 grad_norm: 11.4510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2691 loss: 1.2691 2022/07/30 09:09:05 - mmengine - INFO - Epoch(train) [159][980/3757] lr: 3.6408e-04 eta: 9:27:08 time: 0.4273 data_time: 0.0223 memory: 17006 grad_norm: 11.5378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0683 loss: 1.0683 2022/07/30 09:09:13 - mmengine - INFO - Epoch(train) [159][1000/3757] lr: 3.6408e-04 eta: 9:26:59 time: 0.4057 data_time: 0.0205 memory: 17006 grad_norm: 11.6139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1892 loss: 1.1892 2022/07/30 09:09:22 - mmengine - INFO - Epoch(train) [159][1020/3757] lr: 3.6408e-04 eta: 9:26:51 time: 0.4351 data_time: 0.0231 memory: 17006 grad_norm: 11.0660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1885 loss: 1.1885 2022/07/30 09:09:30 - mmengine - INFO - Epoch(train) [159][1040/3757] lr: 3.6408e-04 eta: 9:26:43 time: 0.4086 data_time: 0.0207 memory: 17006 grad_norm: 11.5265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/07/30 09:09:39 - mmengine - INFO - Epoch(train) [159][1060/3757] lr: 3.6408e-04 eta: 9:26:35 time: 0.4350 data_time: 0.0232 memory: 17006 grad_norm: 11.5540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0292 loss: 1.0292 2022/07/30 09:09:47 - mmengine - INFO - Epoch(train) [159][1080/3757] lr: 3.6408e-04 eta: 9:26:26 time: 0.4050 data_time: 0.0212 memory: 17006 grad_norm: 11.6369 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1990 loss: 1.1990 2022/07/30 09:09:56 - mmengine - INFO - Epoch(train) [159][1100/3757] lr: 3.6408e-04 eta: 9:26:18 time: 0.4127 data_time: 0.0212 memory: 17006 grad_norm: 11.9013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1124 loss: 1.1124 2022/07/30 09:10:04 - mmengine - INFO - Epoch(train) [159][1120/3757] lr: 3.6408e-04 eta: 9:26:10 time: 0.4406 data_time: 0.0232 memory: 17006 grad_norm: 12.1506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3158 loss: 1.3158 2022/07/30 09:10:13 - mmengine - INFO - Epoch(train) [159][1140/3757] lr: 3.6408e-04 eta: 9:26:01 time: 0.4070 data_time: 0.0209 memory: 17006 grad_norm: 12.5065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1702 loss: 1.1702 2022/07/30 09:10:21 - mmengine - INFO - Epoch(train) [159][1160/3757] lr: 3.6408e-04 eta: 9:25:53 time: 0.4373 data_time: 0.0224 memory: 17006 grad_norm: 11.4840 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2245 loss: 1.2245 2022/07/30 09:10:29 - mmengine - INFO - Epoch(train) [159][1180/3757] lr: 3.6408e-04 eta: 9:25:45 time: 0.4050 data_time: 0.0205 memory: 17006 grad_norm: 11.1653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/07/30 09:10:38 - mmengine - INFO - Epoch(train) [159][1200/3757] lr: 3.6408e-04 eta: 9:25:36 time: 0.4053 data_time: 0.0205 memory: 17006 grad_norm: 12.0949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2649 loss: 1.2649 2022/07/30 09:10:47 - mmengine - INFO - Epoch(train) [159][1220/3757] lr: 3.6408e-04 eta: 9:25:28 time: 0.4530 data_time: 0.0311 memory: 17006 grad_norm: 11.6969 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/07/30 09:10:55 - mmengine - INFO - Epoch(train) [159][1240/3757] lr: 3.6408e-04 eta: 9:25:20 time: 0.4070 data_time: 0.0213 memory: 17006 grad_norm: 12.1570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2475 loss: 1.2475 2022/07/30 09:11:04 - mmengine - INFO - Epoch(train) [159][1260/3757] lr: 3.6408e-04 eta: 9:25:12 time: 0.4331 data_time: 0.0218 memory: 17006 grad_norm: 11.9734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4150 loss: 1.4150 2022/07/30 09:11:12 - mmengine - INFO - Epoch(train) [159][1280/3757] lr: 3.6408e-04 eta: 9:25:03 time: 0.4069 data_time: 0.0210 memory: 17006 grad_norm: 11.6826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3003 loss: 1.3003 2022/07/30 09:11:21 - mmengine - INFO - Epoch(train) [159][1300/3757] lr: 3.6408e-04 eta: 9:24:55 time: 0.4431 data_time: 0.0212 memory: 17006 grad_norm: 11.8991 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1484 loss: 1.1484 2022/07/30 09:11:29 - mmengine - INFO - Epoch(train) [159][1320/3757] lr: 3.6408e-04 eta: 9:24:47 time: 0.4067 data_time: 0.0210 memory: 17006 grad_norm: 12.2617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2345 loss: 1.2345 2022/07/30 09:11:37 - mmengine - INFO - Epoch(train) [159][1340/3757] lr: 3.6408e-04 eta: 9:24:38 time: 0.4057 data_time: 0.0209 memory: 17006 grad_norm: 12.2449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9972 loss: 0.9972 2022/07/30 09:11:46 - mmengine - INFO - Epoch(train) [159][1360/3757] lr: 3.6408e-04 eta: 9:24:30 time: 0.4518 data_time: 0.0227 memory: 17006 grad_norm: 11.3206 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1658 loss: 1.1658 2022/07/30 09:11:54 - mmengine - INFO - Epoch(train) [159][1380/3757] lr: 3.6408e-04 eta: 9:24:22 time: 0.4074 data_time: 0.0216 memory: 17006 grad_norm: 11.6160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2425 loss: 1.2425 2022/07/30 09:12:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:12:03 - mmengine - INFO - Epoch(train) [159][1400/3757] lr: 3.6408e-04 eta: 9:24:14 time: 0.4267 data_time: 0.0226 memory: 17006 grad_norm: 11.1839 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1251 loss: 1.1251 2022/07/30 09:12:11 - mmengine - INFO - Epoch(train) [159][1420/3757] lr: 3.6408e-04 eta: 9:24:05 time: 0.4071 data_time: 0.0219 memory: 17006 grad_norm: 11.4671 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9507 loss: 0.9507 2022/07/30 09:12:19 - mmengine - INFO - Epoch(train) [159][1440/3757] lr: 3.6408e-04 eta: 9:23:57 time: 0.4282 data_time: 0.0227 memory: 17006 grad_norm: 11.9799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3253 loss: 1.3253 2022/07/30 09:12:28 - mmengine - INFO - Epoch(train) [159][1460/3757] lr: 3.6408e-04 eta: 9:23:49 time: 0.4064 data_time: 0.0213 memory: 17006 grad_norm: 11.4835 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/07/30 09:12:36 - mmengine - INFO - Epoch(train) [159][1480/3757] lr: 3.6408e-04 eta: 9:23:40 time: 0.4055 data_time: 0.0202 memory: 17006 grad_norm: 12.4882 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3196 loss: 1.3196 2022/07/30 09:12:44 - mmengine - INFO - Epoch(train) [159][1500/3757] lr: 3.6408e-04 eta: 9:23:32 time: 0.4335 data_time: 0.0239 memory: 17006 grad_norm: 11.6048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2497 loss: 1.2497 2022/07/30 09:12:53 - mmengine - INFO - Epoch(train) [159][1520/3757] lr: 3.6408e-04 eta: 9:23:24 time: 0.4059 data_time: 0.0207 memory: 17006 grad_norm: 12.0564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4501 loss: 1.4501 2022/07/30 09:13:02 - mmengine - INFO - Epoch(train) [159][1540/3757] lr: 3.6408e-04 eta: 9:23:16 time: 0.4618 data_time: 0.0251 memory: 17006 grad_norm: 11.3226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9668 loss: 0.9668 2022/07/30 09:13:10 - mmengine - INFO - Epoch(train) [159][1560/3757] lr: 3.6408e-04 eta: 9:23:07 time: 0.4066 data_time: 0.0211 memory: 17006 grad_norm: 11.2383 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9951 loss: 0.9951 2022/07/30 09:13:19 - mmengine - INFO - Epoch(train) [159][1580/3757] lr: 3.6408e-04 eta: 9:22:59 time: 0.4319 data_time: 0.0204 memory: 17006 grad_norm: 11.9326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0704 loss: 1.0704 2022/07/30 09:13:27 - mmengine - INFO - Epoch(train) [159][1600/3757] lr: 3.6408e-04 eta: 9:22:51 time: 0.4097 data_time: 0.0237 memory: 17006 grad_norm: 12.2306 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1212 loss: 1.1212 2022/07/30 09:13:35 - mmengine - INFO - Epoch(train) [159][1620/3757] lr: 3.6408e-04 eta: 9:22:42 time: 0.4062 data_time: 0.0207 memory: 17006 grad_norm: 11.7843 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1621 loss: 1.1621 2022/07/30 09:13:43 - mmengine - INFO - Epoch(train) [159][1640/3757] lr: 3.6408e-04 eta: 9:22:34 time: 0.4175 data_time: 0.0215 memory: 17006 grad_norm: 11.8530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0892 loss: 1.0892 2022/07/30 09:13:52 - mmengine - INFO - Epoch(train) [159][1660/3757] lr: 3.6408e-04 eta: 9:22:25 time: 0.4076 data_time: 0.0223 memory: 17006 grad_norm: 11.5250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3631 loss: 1.3631 2022/07/30 09:14:00 - mmengine - INFO - Epoch(train) [159][1680/3757] lr: 3.6408e-04 eta: 9:22:17 time: 0.4337 data_time: 0.0236 memory: 17006 grad_norm: 12.1029 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3945 loss: 1.3945 2022/07/30 09:14:09 - mmengine - INFO - Epoch(train) [159][1700/3757] lr: 3.6408e-04 eta: 9:22:09 time: 0.4154 data_time: 0.0208 memory: 17006 grad_norm: 11.3691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1510 loss: 1.1510 2022/07/30 09:14:17 - mmengine - INFO - Epoch(train) [159][1720/3757] lr: 3.6408e-04 eta: 9:22:00 time: 0.4039 data_time: 0.0203 memory: 17006 grad_norm: 11.6407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1734 loss: 1.1734 2022/07/30 09:14:25 - mmengine - INFO - Epoch(train) [159][1740/3757] lr: 3.6408e-04 eta: 9:21:52 time: 0.4135 data_time: 0.0215 memory: 17006 grad_norm: 11.8591 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3882 loss: 1.3882 2022/07/30 09:14:33 - mmengine - INFO - Epoch(train) [159][1760/3757] lr: 3.6408e-04 eta: 9:21:44 time: 0.4090 data_time: 0.0212 memory: 17006 grad_norm: 11.7853 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2842 loss: 1.2842 2022/07/30 09:14:42 - mmengine - INFO - Epoch(train) [159][1780/3757] lr: 3.6408e-04 eta: 9:21:35 time: 0.4189 data_time: 0.0228 memory: 17006 grad_norm: 11.6728 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2459 loss: 1.2459 2022/07/30 09:14:50 - mmengine - INFO - Epoch(train) [159][1800/3757] lr: 3.6408e-04 eta: 9:21:27 time: 0.4124 data_time: 0.0209 memory: 17006 grad_norm: 11.6331 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1784 loss: 1.1784 2022/07/30 09:14:58 - mmengine - INFO - Epoch(train) [159][1820/3757] lr: 3.6408e-04 eta: 9:21:19 time: 0.4116 data_time: 0.0207 memory: 17006 grad_norm: 11.2047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/07/30 09:15:07 - mmengine - INFO - Epoch(train) [159][1840/3757] lr: 3.6408e-04 eta: 9:21:10 time: 0.4145 data_time: 0.0201 memory: 17006 grad_norm: 11.8740 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3391 loss: 1.3391 2022/07/30 09:15:15 - mmengine - INFO - Epoch(train) [159][1860/3757] lr: 3.6408e-04 eta: 9:21:02 time: 0.4322 data_time: 0.0201 memory: 17006 grad_norm: 12.2956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1844 loss: 1.1844 2022/07/30 09:15:24 - mmengine - INFO - Epoch(train) [159][1880/3757] lr: 3.6408e-04 eta: 9:20:54 time: 0.4295 data_time: 0.0222 memory: 17006 grad_norm: 11.3275 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3611 loss: 1.3611 2022/07/30 09:15:32 - mmengine - INFO - Epoch(train) [159][1900/3757] lr: 3.6408e-04 eta: 9:20:45 time: 0.4087 data_time: 0.0211 memory: 17006 grad_norm: 10.6454 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0020 loss: 1.0020 2022/07/30 09:15:41 - mmengine - INFO - Epoch(train) [159][1920/3757] lr: 3.6408e-04 eta: 9:20:37 time: 0.4212 data_time: 0.0225 memory: 17006 grad_norm: 11.3097 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1646 loss: 1.1646 2022/07/30 09:15:49 - mmengine - INFO - Epoch(train) [159][1940/3757] lr: 3.6408e-04 eta: 9:20:29 time: 0.4175 data_time: 0.0212 memory: 17006 grad_norm: 11.2401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0818 loss: 1.0818 2022/07/30 09:15:57 - mmengine - INFO - Epoch(train) [159][1960/3757] lr: 3.6408e-04 eta: 9:20:20 time: 0.4053 data_time: 0.0208 memory: 17006 grad_norm: 11.4673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2657 loss: 1.2657 2022/07/30 09:16:06 - mmengine - INFO - Epoch(train) [159][1980/3757] lr: 3.6408e-04 eta: 9:20:12 time: 0.4217 data_time: 0.0225 memory: 17006 grad_norm: 11.5966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2669 loss: 1.2669 2022/07/30 09:16:14 - mmengine - INFO - Epoch(train) [159][2000/3757] lr: 3.6408e-04 eta: 9:20:04 time: 0.4098 data_time: 0.0213 memory: 17006 grad_norm: 11.8326 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1757 loss: 1.1757 2022/07/30 09:16:22 - mmengine - INFO - Epoch(train) [159][2020/3757] lr: 3.6408e-04 eta: 9:19:56 time: 0.4285 data_time: 0.0232 memory: 17006 grad_norm: 11.5630 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2321 loss: 1.2321 2022/07/30 09:16:31 - mmengine - INFO - Epoch(train) [159][2040/3757] lr: 3.6408e-04 eta: 9:19:47 time: 0.4079 data_time: 0.0206 memory: 17006 grad_norm: 11.6503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2742 loss: 1.2742 2022/07/30 09:16:39 - mmengine - INFO - Epoch(train) [159][2060/3757] lr: 3.6408e-04 eta: 9:19:39 time: 0.4187 data_time: 0.0215 memory: 17006 grad_norm: 12.7857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2633 loss: 1.2633 2022/07/30 09:16:47 - mmengine - INFO - Epoch(train) [159][2080/3757] lr: 3.6408e-04 eta: 9:19:30 time: 0.4058 data_time: 0.0208 memory: 17006 grad_norm: 12.1216 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2456 loss: 1.2456 2022/07/30 09:16:55 - mmengine - INFO - Epoch(train) [159][2100/3757] lr: 3.6408e-04 eta: 9:19:22 time: 0.4198 data_time: 0.0205 memory: 17006 grad_norm: 11.1580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0693 loss: 1.0693 2022/07/30 09:17:04 - mmengine - INFO - Epoch(train) [159][2120/3757] lr: 3.6408e-04 eta: 9:19:14 time: 0.4359 data_time: 0.0233 memory: 17006 grad_norm: 10.6727 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1626 loss: 1.1626 2022/07/30 09:17:12 - mmengine - INFO - Epoch(train) [159][2140/3757] lr: 3.6408e-04 eta: 9:19:05 time: 0.4058 data_time: 0.0211 memory: 17006 grad_norm: 11.9616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3403 loss: 1.3403 2022/07/30 09:17:21 - mmengine - INFO - Epoch(train) [159][2160/3757] lr: 3.6408e-04 eta: 9:18:57 time: 0.4434 data_time: 0.0218 memory: 17006 grad_norm: 11.5975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2892 loss: 1.2892 2022/07/30 09:17:29 - mmengine - INFO - Epoch(train) [159][2180/3757] lr: 3.6408e-04 eta: 9:18:49 time: 0.4062 data_time: 0.0218 memory: 17006 grad_norm: 11.7219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9849 loss: 0.9849 2022/07/30 09:17:38 - mmengine - INFO - Epoch(train) [159][2200/3757] lr: 3.6408e-04 eta: 9:18:41 time: 0.4050 data_time: 0.0208 memory: 17006 grad_norm: 11.3979 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0169 loss: 1.0169 2022/07/30 09:17:46 - mmengine - INFO - Epoch(train) [159][2220/3757] lr: 3.6408e-04 eta: 9:18:32 time: 0.4204 data_time: 0.0224 memory: 17006 grad_norm: 11.8352 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/07/30 09:17:54 - mmengine - INFO - Epoch(train) [159][2240/3757] lr: 3.6408e-04 eta: 9:18:24 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 11.7673 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3064 loss: 1.3064 2022/07/30 09:18:03 - mmengine - INFO - Epoch(train) [159][2260/3757] lr: 3.6408e-04 eta: 9:18:16 time: 0.4241 data_time: 0.0232 memory: 17006 grad_norm: 11.8274 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1413 loss: 1.1413 2022/07/30 09:18:11 - mmengine - INFO - Epoch(train) [159][2280/3757] lr: 3.6408e-04 eta: 9:18:07 time: 0.4070 data_time: 0.0211 memory: 17006 grad_norm: 10.9883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3516 loss: 1.3516 2022/07/30 09:18:19 - mmengine - INFO - Epoch(train) [159][2300/3757] lr: 3.6408e-04 eta: 9:17:59 time: 0.4222 data_time: 0.0215 memory: 17006 grad_norm: 11.7304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1352 loss: 1.1352 2022/07/30 09:18:27 - mmengine - INFO - Epoch(train) [159][2320/3757] lr: 3.6408e-04 eta: 9:17:50 time: 0.4055 data_time: 0.0206 memory: 17006 grad_norm: 12.4940 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0853 loss: 1.0853 2022/07/30 09:18:36 - mmengine - INFO - Epoch(train) [159][2340/3757] lr: 3.6408e-04 eta: 9:17:42 time: 0.4096 data_time: 0.0199 memory: 17006 grad_norm: 11.3834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4356 loss: 1.4356 2022/07/30 09:18:44 - mmengine - INFO - Epoch(train) [159][2360/3757] lr: 3.6408e-04 eta: 9:17:34 time: 0.4270 data_time: 0.0225 memory: 17006 grad_norm: 11.6703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2766 loss: 1.2766 2022/07/30 09:18:52 - mmengine - INFO - Epoch(train) [159][2380/3757] lr: 3.6408e-04 eta: 9:17:25 time: 0.4083 data_time: 0.0213 memory: 17006 grad_norm: 12.3223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9094 loss: 0.9094 2022/07/30 09:18:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:19:01 - mmengine - INFO - Epoch(train) [159][2400/3757] lr: 3.6408e-04 eta: 9:17:17 time: 0.4229 data_time: 0.0223 memory: 17006 grad_norm: 11.9512 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3726 loss: 1.3726 2022/07/30 09:19:09 - mmengine - INFO - Epoch(train) [159][2420/3757] lr: 3.6408e-04 eta: 9:17:09 time: 0.4070 data_time: 0.0210 memory: 17006 grad_norm: 11.7991 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3292 loss: 1.3292 2022/07/30 09:19:17 - mmengine - INFO - Epoch(train) [159][2440/3757] lr: 3.6408e-04 eta: 9:17:00 time: 0.4061 data_time: 0.0215 memory: 17006 grad_norm: 11.7539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0158 loss: 1.0158 2022/07/30 09:19:26 - mmengine - INFO - Epoch(train) [159][2460/3757] lr: 3.6408e-04 eta: 9:16:52 time: 0.4231 data_time: 0.0219 memory: 17006 grad_norm: 11.5916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1477 loss: 1.1477 2022/07/30 09:19:34 - mmengine - INFO - Epoch(train) [159][2480/3757] lr: 3.6408e-04 eta: 9:16:43 time: 0.4064 data_time: 0.0214 memory: 17006 grad_norm: 11.3738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9966 loss: 0.9966 2022/07/30 09:19:43 - mmengine - INFO - Epoch(train) [159][2500/3757] lr: 3.6408e-04 eta: 9:16:35 time: 0.4469 data_time: 0.0219 memory: 17006 grad_norm: 12.2619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3472 loss: 1.3472 2022/07/30 09:19:51 - mmengine - INFO - Epoch(train) [159][2520/3757] lr: 3.6408e-04 eta: 9:16:27 time: 0.4061 data_time: 0.0216 memory: 17006 grad_norm: 11.5773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9991 loss: 0.9991 2022/07/30 09:20:00 - mmengine - INFO - Epoch(train) [159][2540/3757] lr: 3.6408e-04 eta: 9:16:19 time: 0.4517 data_time: 0.0210 memory: 17006 grad_norm: 11.4811 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2893 loss: 1.2893 2022/07/30 09:20:08 - mmengine - INFO - Epoch(train) [159][2560/3757] lr: 3.6408e-04 eta: 9:16:11 time: 0.4049 data_time: 0.0203 memory: 17006 grad_norm: 11.9599 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0441 loss: 1.0441 2022/07/30 09:20:16 - mmengine - INFO - Epoch(train) [159][2580/3757] lr: 3.6408e-04 eta: 9:16:02 time: 0.4080 data_time: 0.0202 memory: 17006 grad_norm: 12.1608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2637 loss: 1.2637 2022/07/30 09:20:25 - mmengine - INFO - Epoch(train) [159][2600/3757] lr: 3.6408e-04 eta: 9:15:54 time: 0.4296 data_time: 0.0228 memory: 17006 grad_norm: 12.0107 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3197 loss: 1.3197 2022/07/30 09:20:33 - mmengine - INFO - Epoch(train) [159][2620/3757] lr: 3.6408e-04 eta: 9:15:46 time: 0.4084 data_time: 0.0217 memory: 17006 grad_norm: 11.4493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0897 loss: 1.0897 2022/07/30 09:20:42 - mmengine - INFO - Epoch(train) [159][2640/3757] lr: 3.6408e-04 eta: 9:15:37 time: 0.4217 data_time: 0.0229 memory: 17006 grad_norm: 11.4702 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1757 loss: 1.1757 2022/07/30 09:20:50 - mmengine - INFO - Epoch(train) [159][2660/3757] lr: 3.6408e-04 eta: 9:15:29 time: 0.4067 data_time: 0.0223 memory: 17006 grad_norm: 12.1842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2988 loss: 1.2988 2022/07/30 09:20:58 - mmengine - INFO - Epoch(train) [159][2680/3757] lr: 3.6408e-04 eta: 9:15:20 time: 0.4071 data_time: 0.0209 memory: 17006 grad_norm: 11.9327 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1880 loss: 1.1880 2022/07/30 09:21:07 - mmengine - INFO - Epoch(train) [159][2700/3757] lr: 3.6408e-04 eta: 9:15:12 time: 0.4416 data_time: 0.0220 memory: 17006 grad_norm: 12.0177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3496 loss: 1.3496 2022/07/30 09:21:15 - mmengine - INFO - Epoch(train) [159][2720/3757] lr: 3.6408e-04 eta: 9:15:04 time: 0.4087 data_time: 0.0218 memory: 17006 grad_norm: 11.8042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8688 loss: 0.8688 2022/07/30 09:21:24 - mmengine - INFO - Epoch(train) [159][2740/3757] lr: 3.6408e-04 eta: 9:14:56 time: 0.4207 data_time: 0.0232 memory: 17006 grad_norm: 12.2289 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2694 loss: 1.2694 2022/07/30 09:21:32 - mmengine - INFO - Epoch(train) [159][2760/3757] lr: 3.6408e-04 eta: 9:14:47 time: 0.4364 data_time: 0.0202 memory: 17006 grad_norm: 11.9406 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9980 loss: 0.9980 2022/07/30 09:21:41 - mmengine - INFO - Epoch(train) [159][2780/3757] lr: 3.6408e-04 eta: 9:14:39 time: 0.4144 data_time: 0.0216 memory: 17006 grad_norm: 11.8022 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3126 loss: 1.3126 2022/07/30 09:21:49 - mmengine - INFO - Epoch(train) [159][2800/3757] lr: 3.6408e-04 eta: 9:14:31 time: 0.4101 data_time: 0.0204 memory: 17006 grad_norm: 11.6801 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2209 loss: 1.2209 2022/07/30 09:21:57 - mmengine - INFO - Epoch(train) [159][2820/3757] lr: 3.6408e-04 eta: 9:14:22 time: 0.4138 data_time: 0.0197 memory: 17006 grad_norm: 11.4460 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1025 loss: 1.1025 2022/07/30 09:22:05 - mmengine - INFO - Epoch(train) [159][2840/3757] lr: 3.6408e-04 eta: 9:14:14 time: 0.4090 data_time: 0.0200 memory: 17006 grad_norm: 11.8683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1586 loss: 1.1586 2022/07/30 09:22:14 - mmengine - INFO - Epoch(train) [159][2860/3757] lr: 3.6408e-04 eta: 9:14:06 time: 0.4217 data_time: 0.0227 memory: 17006 grad_norm: 11.7625 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3542 loss: 1.3542 2022/07/30 09:22:22 - mmengine - INFO - Epoch(train) [159][2880/3757] lr: 3.6408e-04 eta: 9:13:57 time: 0.4082 data_time: 0.0215 memory: 17006 grad_norm: 11.6140 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1764 loss: 1.1764 2022/07/30 09:22:30 - mmengine - INFO - Epoch(train) [159][2900/3757] lr: 3.6408e-04 eta: 9:13:49 time: 0.4189 data_time: 0.0224 memory: 17006 grad_norm: 11.5119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4052 loss: 1.4052 2022/07/30 09:22:39 - mmengine - INFO - Epoch(train) [159][2920/3757] lr: 3.6408e-04 eta: 9:13:41 time: 0.4057 data_time: 0.0209 memory: 17006 grad_norm: 12.4121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9981 loss: 0.9981 2022/07/30 09:22:47 - mmengine - INFO - Epoch(train) [159][2940/3757] lr: 3.6408e-04 eta: 9:13:32 time: 0.4062 data_time: 0.0210 memory: 17006 grad_norm: 12.1062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0225 loss: 1.0225 2022/07/30 09:22:56 - mmengine - INFO - Epoch(train) [159][2960/3757] lr: 3.6408e-04 eta: 9:13:24 time: 0.4647 data_time: 0.0237 memory: 17006 grad_norm: 11.2639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0486 loss: 1.0486 2022/07/30 09:23:04 - mmengine - INFO - Epoch(train) [159][2980/3757] lr: 3.6408e-04 eta: 9:13:16 time: 0.4077 data_time: 0.0216 memory: 17006 grad_norm: 11.6019 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9508 loss: 0.9508 2022/07/30 09:23:13 - mmengine - INFO - Epoch(train) [159][3000/3757] lr: 3.6408e-04 eta: 9:13:08 time: 0.4427 data_time: 0.0227 memory: 17006 grad_norm: 11.5961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2012 loss: 1.2012 2022/07/30 09:23:21 - mmengine - INFO - Epoch(train) [159][3020/3757] lr: 3.6408e-04 eta: 9:12:59 time: 0.4071 data_time: 0.0204 memory: 17006 grad_norm: 12.0318 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2746 loss: 1.2746 2022/07/30 09:23:30 - mmengine - INFO - Epoch(train) [159][3040/3757] lr: 3.6408e-04 eta: 9:12:51 time: 0.4303 data_time: 0.0214 memory: 17006 grad_norm: 11.4061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2782 loss: 1.2782 2022/07/30 09:23:38 - mmengine - INFO - Epoch(train) [159][3060/3757] lr: 3.6408e-04 eta: 9:12:43 time: 0.4061 data_time: 0.0215 memory: 17006 grad_norm: 12.3876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2808 loss: 1.2808 2022/07/30 09:23:46 - mmengine - INFO - Epoch(train) [159][3080/3757] lr: 3.6408e-04 eta: 9:12:34 time: 0.4042 data_time: 0.0204 memory: 17006 grad_norm: 12.2193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2805 loss: 1.2805 2022/07/30 09:23:55 - mmengine - INFO - Epoch(train) [159][3100/3757] lr: 3.6408e-04 eta: 9:12:26 time: 0.4422 data_time: 0.0224 memory: 17006 grad_norm: 11.6148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1639 loss: 1.1639 2022/07/30 09:24:03 - mmengine - INFO - Epoch(train) [159][3120/3757] lr: 3.6408e-04 eta: 9:12:18 time: 0.4067 data_time: 0.0210 memory: 17006 grad_norm: 12.1525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/07/30 09:24:12 - mmengine - INFO - Epoch(train) [159][3140/3757] lr: 3.6408e-04 eta: 9:12:09 time: 0.4303 data_time: 0.0234 memory: 17006 grad_norm: 11.6939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3451 loss: 1.3451 2022/07/30 09:24:20 - mmengine - INFO - Epoch(train) [159][3160/3757] lr: 3.6408e-04 eta: 9:12:01 time: 0.4081 data_time: 0.0212 memory: 17006 grad_norm: 11.9446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1035 loss: 1.1035 2022/07/30 09:24:28 - mmengine - INFO - Epoch(train) [159][3180/3757] lr: 3.6408e-04 eta: 9:11:53 time: 0.4043 data_time: 0.0205 memory: 17006 grad_norm: 11.9017 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2863 loss: 1.2863 2022/07/30 09:24:37 - mmengine - INFO - Epoch(train) [159][3200/3757] lr: 3.6408e-04 eta: 9:11:44 time: 0.4315 data_time: 0.0262 memory: 17006 grad_norm: 12.0290 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0550 loss: 1.0550 2022/07/30 09:24:45 - mmengine - INFO - Epoch(train) [159][3220/3757] lr: 3.6408e-04 eta: 9:11:36 time: 0.4065 data_time: 0.0200 memory: 17006 grad_norm: 11.6342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0246 loss: 1.0246 2022/07/30 09:24:53 - mmengine - INFO - Epoch(train) [159][3240/3757] lr: 3.6408e-04 eta: 9:11:28 time: 0.4202 data_time: 0.0252 memory: 17006 grad_norm: 11.3290 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1676 loss: 1.1676 2022/07/30 09:25:02 - mmengine - INFO - Epoch(train) [159][3260/3757] lr: 3.6408e-04 eta: 9:11:19 time: 0.4080 data_time: 0.0205 memory: 17006 grad_norm: 11.7561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/07/30 09:25:10 - mmengine - INFO - Epoch(train) [159][3280/3757] lr: 3.6408e-04 eta: 9:11:11 time: 0.4237 data_time: 0.0226 memory: 17006 grad_norm: 12.3634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9325 loss: 0.9325 2022/07/30 09:25:18 - mmengine - INFO - Epoch(train) [159][3300/3757] lr: 3.6408e-04 eta: 9:11:03 time: 0.4046 data_time: 0.0215 memory: 17006 grad_norm: 11.7585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2410 loss: 1.2410 2022/07/30 09:25:26 - mmengine - INFO - Epoch(train) [159][3320/3757] lr: 3.6408e-04 eta: 9:10:54 time: 0.4073 data_time: 0.0215 memory: 17006 grad_norm: 11.3251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0159 loss: 1.0159 2022/07/30 09:25:35 - mmengine - INFO - Epoch(train) [159][3340/3757] lr: 3.6408e-04 eta: 9:10:46 time: 0.4112 data_time: 0.0217 memory: 17006 grad_norm: 11.5572 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1882 loss: 1.1882 2022/07/30 09:25:43 - mmengine - INFO - Epoch(train) [159][3360/3757] lr: 3.6408e-04 eta: 9:10:37 time: 0.4068 data_time: 0.0214 memory: 17006 grad_norm: 11.9130 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1659 loss: 1.1659 2022/07/30 09:25:51 - mmengine - INFO - Epoch(train) [159][3380/3757] lr: 3.6408e-04 eta: 9:10:29 time: 0.4214 data_time: 0.0223 memory: 17006 grad_norm: 12.0788 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3133 loss: 1.3133 2022/07/30 09:25:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:25:59 - mmengine - INFO - Epoch(train) [159][3400/3757] lr: 3.6408e-04 eta: 9:10:21 time: 0.4079 data_time: 0.0213 memory: 17006 grad_norm: 11.4315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1914 loss: 1.1914 2022/07/30 09:26:08 - mmengine - INFO - Epoch(train) [159][3420/3757] lr: 3.6408e-04 eta: 9:10:12 time: 0.4055 data_time: 0.0212 memory: 17006 grad_norm: 12.2325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5179 loss: 1.5179 2022/07/30 09:26:16 - mmengine - INFO - Epoch(train) [159][3440/3757] lr: 3.6408e-04 eta: 9:10:04 time: 0.4306 data_time: 0.0232 memory: 17006 grad_norm: 12.0340 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4865 loss: 1.4865 2022/07/30 09:26:24 - mmengine - INFO - Epoch(train) [159][3460/3757] lr: 3.6408e-04 eta: 9:09:56 time: 0.4081 data_time: 0.0221 memory: 17006 grad_norm: 11.5339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/07/30 09:26:33 - mmengine - INFO - Epoch(train) [159][3480/3757] lr: 3.6408e-04 eta: 9:09:47 time: 0.4147 data_time: 0.0226 memory: 17006 grad_norm: 12.2910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/07/30 09:26:41 - mmengine - INFO - Epoch(train) [159][3500/3757] lr: 3.6408e-04 eta: 9:09:39 time: 0.4137 data_time: 0.0214 memory: 17006 grad_norm: 11.3352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/07/30 09:26:49 - mmengine - INFO - Epoch(train) [159][3520/3757] lr: 3.6408e-04 eta: 9:09:30 time: 0.4057 data_time: 0.0207 memory: 17006 grad_norm: 11.6554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0280 loss: 1.0280 2022/07/30 09:26:58 - mmengine - INFO - Epoch(train) [159][3540/3757] lr: 3.6408e-04 eta: 9:09:22 time: 0.4203 data_time: 0.0294 memory: 17006 grad_norm: 12.0304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3289 loss: 1.3289 2022/07/30 09:27:06 - mmengine - INFO - Epoch(train) [159][3560/3757] lr: 3.6408e-04 eta: 9:09:14 time: 0.4197 data_time: 0.0207 memory: 17006 grad_norm: 12.0083 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4382 loss: 1.4382 2022/07/30 09:27:15 - mmengine - INFO - Epoch(train) [159][3580/3757] lr: 3.6408e-04 eta: 9:09:06 time: 0.4257 data_time: 0.0216 memory: 17006 grad_norm: 12.1420 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/07/30 09:27:23 - mmengine - INFO - Epoch(train) [159][3600/3757] lr: 3.6408e-04 eta: 9:08:57 time: 0.4179 data_time: 0.0198 memory: 17006 grad_norm: 12.2640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2615 loss: 1.2615 2022/07/30 09:27:32 - mmengine - INFO - Epoch(train) [159][3620/3757] lr: 3.6408e-04 eta: 9:08:49 time: 0.4312 data_time: 0.0228 memory: 17006 grad_norm: 11.4937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3852 loss: 1.3852 2022/07/30 09:27:40 - mmengine - INFO - Epoch(train) [159][3640/3757] lr: 3.6408e-04 eta: 9:08:41 time: 0.4163 data_time: 0.0215 memory: 17006 grad_norm: 12.5236 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2461 loss: 1.2461 2022/07/30 09:27:48 - mmengine - INFO - Epoch(train) [159][3660/3757] lr: 3.6408e-04 eta: 9:08:32 time: 0.4031 data_time: 0.0192 memory: 17006 grad_norm: 12.3494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2488 loss: 1.2488 2022/07/30 09:27:56 - mmengine - INFO - Epoch(train) [159][3680/3757] lr: 3.6408e-04 eta: 9:08:24 time: 0.4184 data_time: 0.0201 memory: 17006 grad_norm: 11.9989 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0333 loss: 1.0333 2022/07/30 09:28:05 - mmengine - INFO - Epoch(train) [159][3700/3757] lr: 3.6408e-04 eta: 9:08:16 time: 0.4130 data_time: 0.0210 memory: 17006 grad_norm: 11.9582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/07/30 09:28:13 - mmengine - INFO - Epoch(train) [159][3720/3757] lr: 3.6408e-04 eta: 9:08:07 time: 0.4269 data_time: 0.0230 memory: 17006 grad_norm: 11.9524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2953 loss: 1.2953 2022/07/30 09:28:22 - mmengine - INFO - Epoch(train) [159][3740/3757] lr: 3.6408e-04 eta: 9:07:59 time: 0.4169 data_time: 0.0204 memory: 17006 grad_norm: 11.5811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3790 loss: 1.3790 2022/07/30 09:28:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:28:28 - mmengine - INFO - Epoch(train) [159][3757/3757] lr: 3.6408e-04 eta: 9:07:59 time: 0.3947 data_time: 0.0195 memory: 17006 grad_norm: 12.0403 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4059 loss: 1.4059 2022/07/30 09:28:28 - mmengine - INFO - Saving checkpoint at 159 epochs 2022/07/30 09:28:42 - mmengine - INFO - Epoch(train) [160][20/3757] lr: 3.3210e-04 eta: 9:07:41 time: 0.4707 data_time: 0.0677 memory: 17006 grad_norm: 11.8028 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2180 loss: 1.2180 2022/07/30 09:28:50 - mmengine - INFO - Epoch(train) [160][40/3757] lr: 3.3210e-04 eta: 9:07:32 time: 0.4268 data_time: 0.0252 memory: 17006 grad_norm: 11.7949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0486 loss: 1.0486 2022/07/30 09:28:59 - mmengine - INFO - Epoch(train) [160][60/3757] lr: 3.3210e-04 eta: 9:07:24 time: 0.4055 data_time: 0.0179 memory: 17006 grad_norm: 12.0755 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2395 loss: 1.2395 2022/07/30 09:29:07 - mmengine - INFO - Epoch(train) [160][80/3757] lr: 3.3210e-04 eta: 9:07:16 time: 0.4073 data_time: 0.0223 memory: 17006 grad_norm: 12.0582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3275 loss: 1.3275 2022/07/30 09:29:15 - mmengine - INFO - Epoch(train) [160][100/3757] lr: 3.3210e-04 eta: 9:07:07 time: 0.4149 data_time: 0.0221 memory: 17006 grad_norm: 11.6357 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1724 loss: 1.1724 2022/07/30 09:29:23 - mmengine - INFO - Epoch(train) [160][120/3757] lr: 3.3210e-04 eta: 9:06:59 time: 0.4062 data_time: 0.0201 memory: 17006 grad_norm: 11.7561 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2578 loss: 1.2578 2022/07/30 09:29:32 - mmengine - INFO - Epoch(train) [160][140/3757] lr: 3.3210e-04 eta: 9:06:51 time: 0.4304 data_time: 0.0227 memory: 17006 grad_norm: 11.6944 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9891 loss: 0.9891 2022/07/30 09:29:40 - mmengine - INFO - Epoch(train) [160][160/3757] lr: 3.3210e-04 eta: 9:06:42 time: 0.4083 data_time: 0.0206 memory: 17006 grad_norm: 11.9518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2460 loss: 1.2460 2022/07/30 09:29:48 - mmengine - INFO - Epoch(train) [160][180/3757] lr: 3.3210e-04 eta: 9:06:34 time: 0.4054 data_time: 0.0216 memory: 17006 grad_norm: 12.2020 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2422 loss: 1.2422 2022/07/30 09:29:57 - mmengine - INFO - Epoch(train) [160][200/3757] lr: 3.3210e-04 eta: 9:06:26 time: 0.4550 data_time: 0.0224 memory: 17006 grad_norm: 12.1082 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2168 loss: 1.2168 2022/07/30 09:30:06 - mmengine - INFO - Epoch(train) [160][220/3757] lr: 3.3210e-04 eta: 9:06:17 time: 0.4123 data_time: 0.0192 memory: 17006 grad_norm: 12.2605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3495 loss: 1.3495 2022/07/30 09:30:14 - mmengine - INFO - Epoch(train) [160][240/3757] lr: 3.3210e-04 eta: 9:06:09 time: 0.4165 data_time: 0.0242 memory: 17006 grad_norm: 11.4967 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2880 loss: 1.2880 2022/07/30 09:30:22 - mmengine - INFO - Epoch(train) [160][260/3757] lr: 3.3210e-04 eta: 9:06:01 time: 0.4056 data_time: 0.0204 memory: 17006 grad_norm: 11.5026 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0712 loss: 1.0712 2022/07/30 09:30:31 - mmengine - INFO - Epoch(train) [160][280/3757] lr: 3.3210e-04 eta: 9:05:53 time: 0.4533 data_time: 0.0242 memory: 17006 grad_norm: 11.6063 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0657 loss: 1.0657 2022/07/30 09:30:39 - mmengine - INFO - Epoch(train) [160][300/3757] lr: 3.3210e-04 eta: 9:05:44 time: 0.4028 data_time: 0.0185 memory: 17006 grad_norm: 11.8216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9543 loss: 0.9543 2022/07/30 09:30:47 - mmengine - INFO - Epoch(train) [160][320/3757] lr: 3.3210e-04 eta: 9:05:36 time: 0.4063 data_time: 0.0210 memory: 17006 grad_norm: 11.7501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0830 loss: 1.0830 2022/07/30 09:30:56 - mmengine - INFO - Epoch(train) [160][340/3757] lr: 3.3210e-04 eta: 9:05:28 time: 0.4282 data_time: 0.0183 memory: 17006 grad_norm: 11.6511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0432 loss: 1.0432 2022/07/30 09:31:04 - mmengine - INFO - Epoch(train) [160][360/3757] lr: 3.3210e-04 eta: 9:05:19 time: 0.4061 data_time: 0.0213 memory: 17006 grad_norm: 11.3785 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2343 loss: 1.2343 2022/07/30 09:31:13 - mmengine - INFO - Epoch(train) [160][380/3757] lr: 3.3210e-04 eta: 9:05:11 time: 0.4234 data_time: 0.0210 memory: 17006 grad_norm: 11.5458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1695 loss: 1.1695 2022/07/30 09:31:21 - mmengine - INFO - Epoch(train) [160][400/3757] lr: 3.3210e-04 eta: 9:05:02 time: 0.4095 data_time: 0.0235 memory: 17006 grad_norm: 11.6539 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2143 loss: 1.2143 2022/07/30 09:31:29 - mmengine - INFO - Epoch(train) [160][420/3757] lr: 3.3210e-04 eta: 9:04:54 time: 0.4060 data_time: 0.0200 memory: 17006 grad_norm: 11.7931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9204 loss: 0.9204 2022/07/30 09:31:38 - mmengine - INFO - Epoch(train) [160][440/3757] lr: 3.3210e-04 eta: 9:04:46 time: 0.4416 data_time: 0.0221 memory: 17006 grad_norm: 11.4808 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3858 loss: 1.3858 2022/07/30 09:31:46 - mmengine - INFO - Epoch(train) [160][460/3757] lr: 3.3210e-04 eta: 9:04:37 time: 0.4047 data_time: 0.0186 memory: 17006 grad_norm: 11.7050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1347 loss: 1.1347 2022/07/30 09:31:55 - mmengine - INFO - Epoch(train) [160][480/3757] lr: 3.3210e-04 eta: 9:04:29 time: 0.4231 data_time: 0.0245 memory: 17006 grad_norm: 11.8546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2295 loss: 1.2295 2022/07/30 09:32:03 - mmengine - INFO - Epoch(train) [160][500/3757] lr: 3.3210e-04 eta: 9:04:21 time: 0.4052 data_time: 0.0186 memory: 17006 grad_norm: 11.5702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9868 loss: 0.9868 2022/07/30 09:32:11 - mmengine - INFO - Epoch(train) [160][520/3757] lr: 3.3210e-04 eta: 9:04:13 time: 0.4299 data_time: 0.0224 memory: 17006 grad_norm: 11.9135 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2294 loss: 1.2294 2022/07/30 09:32:19 - mmengine - INFO - Epoch(train) [160][540/3757] lr: 3.3210e-04 eta: 9:04:04 time: 0.4039 data_time: 0.0182 memory: 17006 grad_norm: 11.7108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9832 loss: 0.9832 2022/07/30 09:32:28 - mmengine - INFO - Epoch(train) [160][560/3757] lr: 3.3210e-04 eta: 9:03:56 time: 0.4065 data_time: 0.0217 memory: 17006 grad_norm: 12.5203 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1126 loss: 1.1126 2022/07/30 09:32:36 - mmengine - INFO - Epoch(train) [160][580/3757] lr: 3.3210e-04 eta: 9:03:48 time: 0.4464 data_time: 0.0184 memory: 17006 grad_norm: 11.9724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0298 loss: 1.0298 2022/07/30 09:32:45 - mmengine - INFO - Epoch(train) [160][600/3757] lr: 3.3210e-04 eta: 9:03:39 time: 0.4072 data_time: 0.0216 memory: 17006 grad_norm: 11.7793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2227 loss: 1.2227 2022/07/30 09:32:53 - mmengine - INFO - Epoch(train) [160][620/3757] lr: 3.3210e-04 eta: 9:03:31 time: 0.4264 data_time: 0.0205 memory: 17006 grad_norm: 12.0862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3361 loss: 1.3361 2022/07/30 09:33:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:33:01 - mmengine - INFO - Epoch(train) [160][640/3757] lr: 3.3210e-04 eta: 9:03:23 time: 0.4063 data_time: 0.0217 memory: 17006 grad_norm: 12.3125 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3503 loss: 1.3503 2022/07/30 09:33:10 - mmengine - INFO - Epoch(train) [160][660/3757] lr: 3.3210e-04 eta: 9:03:14 time: 0.4075 data_time: 0.0191 memory: 17006 grad_norm: 12.1405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1698 loss: 1.1698 2022/07/30 09:33:18 - mmengine - INFO - Epoch(train) [160][680/3757] lr: 3.3210e-04 eta: 9:03:06 time: 0.4084 data_time: 0.0206 memory: 17006 grad_norm: 11.9278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2413 loss: 1.2413 2022/07/30 09:33:26 - mmengine - INFO - Epoch(train) [160][700/3757] lr: 3.3210e-04 eta: 9:02:57 time: 0.4076 data_time: 0.0188 memory: 17006 grad_norm: 11.5272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1696 loss: 1.1696 2022/07/30 09:33:34 - mmengine - INFO - Epoch(train) [160][720/3757] lr: 3.3210e-04 eta: 9:02:49 time: 0.4208 data_time: 0.0218 memory: 17006 grad_norm: 11.3957 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1888 loss: 1.1888 2022/07/30 09:33:43 - mmengine - INFO - Epoch(train) [160][740/3757] lr: 3.3210e-04 eta: 9:02:41 time: 0.4096 data_time: 0.0209 memory: 17006 grad_norm: 11.4340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1896 loss: 1.1896 2022/07/30 09:33:51 - mmengine - INFO - Epoch(train) [160][760/3757] lr: 3.3210e-04 eta: 9:02:32 time: 0.4193 data_time: 0.0234 memory: 17006 grad_norm: 11.9348 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4122 loss: 1.4122 2022/07/30 09:33:59 - mmengine - INFO - Epoch(train) [160][780/3757] lr: 3.3210e-04 eta: 9:02:24 time: 0.4056 data_time: 0.0198 memory: 17006 grad_norm: 11.7334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3605 loss: 1.3605 2022/07/30 09:34:07 - mmengine - INFO - Epoch(train) [160][800/3757] lr: 3.3210e-04 eta: 9:02:15 time: 0.4071 data_time: 0.0225 memory: 17006 grad_norm: 11.2937 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9964 loss: 0.9964 2022/07/30 09:34:16 - mmengine - INFO - Epoch(train) [160][820/3757] lr: 3.3210e-04 eta: 9:02:07 time: 0.4211 data_time: 0.0204 memory: 17006 grad_norm: 11.9661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/07/30 09:34:24 - mmengine - INFO - Epoch(train) [160][840/3757] lr: 3.3210e-04 eta: 9:01:59 time: 0.4074 data_time: 0.0214 memory: 17006 grad_norm: 11.6009 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4774 loss: 1.4774 2022/07/30 09:34:32 - mmengine - INFO - Epoch(train) [160][860/3757] lr: 3.3210e-04 eta: 9:01:50 time: 0.4186 data_time: 0.0217 memory: 17006 grad_norm: 11.7062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1531 loss: 1.1531 2022/07/30 09:34:41 - mmengine - INFO - Epoch(train) [160][880/3757] lr: 3.3210e-04 eta: 9:01:42 time: 0.4064 data_time: 0.0217 memory: 17006 grad_norm: 11.8218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3244 loss: 1.3244 2022/07/30 09:34:49 - mmengine - INFO - Epoch(train) [160][900/3757] lr: 3.3210e-04 eta: 9:01:34 time: 0.4072 data_time: 0.0203 memory: 17006 grad_norm: 12.1681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2450 loss: 1.2450 2022/07/30 09:34:57 - mmengine - INFO - Epoch(train) [160][920/3757] lr: 3.3210e-04 eta: 9:01:25 time: 0.4296 data_time: 0.0233 memory: 17006 grad_norm: 11.9533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3266 loss: 1.3266 2022/07/30 09:35:05 - mmengine - INFO - Epoch(train) [160][940/3757] lr: 3.3210e-04 eta: 9:01:17 time: 0.4064 data_time: 0.0196 memory: 17006 grad_norm: 11.8825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1340 loss: 1.1340 2022/07/30 09:35:14 - mmengine - INFO - Epoch(train) [160][960/3757] lr: 3.3210e-04 eta: 9:01:09 time: 0.4259 data_time: 0.0256 memory: 17006 grad_norm: 11.8723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1277 loss: 1.1277 2022/07/30 09:35:22 - mmengine - INFO - Epoch(train) [160][980/3757] lr: 3.3210e-04 eta: 9:01:00 time: 0.4171 data_time: 0.0189 memory: 17006 grad_norm: 12.1373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0916 loss: 1.0916 2022/07/30 09:35:31 - mmengine - INFO - Epoch(train) [160][1000/3757] lr: 3.3210e-04 eta: 9:00:52 time: 0.4262 data_time: 0.0232 memory: 17006 grad_norm: 11.8202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/07/30 09:35:39 - mmengine - INFO - Epoch(train) [160][1020/3757] lr: 3.3210e-04 eta: 9:00:44 time: 0.4046 data_time: 0.0190 memory: 17006 grad_norm: 12.9052 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3093 loss: 1.3093 2022/07/30 09:35:47 - mmengine - INFO - Epoch(train) [160][1040/3757] lr: 3.3210e-04 eta: 9:00:35 time: 0.4098 data_time: 0.0206 memory: 17006 grad_norm: 11.6939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2022 loss: 1.2022 2022/07/30 09:35:56 - mmengine - INFO - Epoch(train) [160][1060/3757] lr: 3.3210e-04 eta: 9:00:27 time: 0.4222 data_time: 0.0224 memory: 17006 grad_norm: 11.9370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2066 loss: 1.2066 2022/07/30 09:36:04 - mmengine - INFO - Epoch(train) [160][1080/3757] lr: 3.3210e-04 eta: 9:00:19 time: 0.4066 data_time: 0.0219 memory: 17006 grad_norm: 12.0744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2465 loss: 1.2465 2022/07/30 09:36:12 - mmengine - INFO - Epoch(train) [160][1100/3757] lr: 3.3210e-04 eta: 9:00:10 time: 0.4209 data_time: 0.0226 memory: 17006 grad_norm: 12.0967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2912 loss: 1.2912 2022/07/30 09:36:21 - mmengine - INFO - Epoch(train) [160][1120/3757] lr: 3.3210e-04 eta: 9:00:02 time: 0.4067 data_time: 0.0213 memory: 17006 grad_norm: 12.0143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1767 loss: 1.1767 2022/07/30 09:36:29 - mmengine - INFO - Epoch(train) [160][1140/3757] lr: 3.3210e-04 eta: 8:59:53 time: 0.4053 data_time: 0.0199 memory: 17006 grad_norm: 12.0119 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3869 loss: 1.3869 2022/07/30 09:36:37 - mmengine - INFO - Epoch(train) [160][1160/3757] lr: 3.3210e-04 eta: 8:59:45 time: 0.4277 data_time: 0.0233 memory: 17006 grad_norm: 11.4745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/07/30 09:36:45 - mmengine - INFO - Epoch(train) [160][1180/3757] lr: 3.3210e-04 eta: 8:59:37 time: 0.4063 data_time: 0.0193 memory: 17006 grad_norm: 12.4042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0822 loss: 1.0822 2022/07/30 09:36:54 - mmengine - INFO - Epoch(train) [160][1200/3757] lr: 3.3210e-04 eta: 8:59:29 time: 0.4420 data_time: 0.0224 memory: 17006 grad_norm: 12.2280 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1714 loss: 1.1714 2022/07/30 09:37:02 - mmengine - INFO - Epoch(train) [160][1220/3757] lr: 3.3210e-04 eta: 8:59:20 time: 0.4055 data_time: 0.0194 memory: 17006 grad_norm: 11.5004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2689 loss: 1.2689 2022/07/30 09:37:11 - mmengine - INFO - Epoch(train) [160][1240/3757] lr: 3.3210e-04 eta: 8:59:12 time: 0.4258 data_time: 0.0219 memory: 17006 grad_norm: 11.6749 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1451 loss: 1.1451 2022/07/30 09:37:19 - mmengine - INFO - Epoch(train) [160][1260/3757] lr: 3.3210e-04 eta: 8:59:04 time: 0.4089 data_time: 0.0213 memory: 17006 grad_norm: 11.8663 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/07/30 09:37:27 - mmengine - INFO - Epoch(train) [160][1280/3757] lr: 3.3210e-04 eta: 8:58:55 time: 0.4068 data_time: 0.0208 memory: 17006 grad_norm: 11.7473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3837 loss: 1.3837 2022/07/30 09:37:36 - mmengine - INFO - Epoch(train) [160][1300/3757] lr: 3.3210e-04 eta: 8:58:47 time: 0.4206 data_time: 0.0202 memory: 17006 grad_norm: 12.1849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2383 loss: 1.2383 2022/07/30 09:37:44 - mmengine - INFO - Epoch(train) [160][1320/3757] lr: 3.3210e-04 eta: 8:58:38 time: 0.4090 data_time: 0.0217 memory: 17006 grad_norm: 12.2726 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0283 loss: 1.0283 2022/07/30 09:37:52 - mmengine - INFO - Epoch(train) [160][1340/3757] lr: 3.3210e-04 eta: 8:58:30 time: 0.4148 data_time: 0.0204 memory: 17006 grad_norm: 11.6075 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2970 loss: 1.2970 2022/07/30 09:38:00 - mmengine - INFO - Epoch(train) [160][1360/3757] lr: 3.3210e-04 eta: 8:58:22 time: 0.4075 data_time: 0.0216 memory: 17006 grad_norm: 12.2932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9649 loss: 0.9649 2022/07/30 09:38:09 - mmengine - INFO - Epoch(train) [160][1380/3757] lr: 3.3210e-04 eta: 8:58:13 time: 0.4049 data_time: 0.0186 memory: 17006 grad_norm: 11.7892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2891 loss: 1.2891 2022/07/30 09:38:17 - mmengine - INFO - Epoch(train) [160][1400/3757] lr: 3.3210e-04 eta: 8:58:05 time: 0.4178 data_time: 0.0228 memory: 17006 grad_norm: 12.1484 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3060 loss: 1.3060 2022/07/30 09:38:25 - mmengine - INFO - Epoch(train) [160][1420/3757] lr: 3.3210e-04 eta: 8:57:56 time: 0.4053 data_time: 0.0191 memory: 17006 grad_norm: 11.5512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/07/30 09:38:34 - mmengine - INFO - Epoch(train) [160][1440/3757] lr: 3.3210e-04 eta: 8:57:48 time: 0.4198 data_time: 0.0228 memory: 17006 grad_norm: 12.0096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2247 loss: 1.2247 2022/07/30 09:38:42 - mmengine - INFO - Epoch(train) [160][1460/3757] lr: 3.3210e-04 eta: 8:57:40 time: 0.4062 data_time: 0.0190 memory: 17006 grad_norm: 11.8824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2166 loss: 1.2166 2022/07/30 09:38:50 - mmengine - INFO - Epoch(train) [160][1480/3757] lr: 3.3210e-04 eta: 8:57:31 time: 0.4078 data_time: 0.0230 memory: 17006 grad_norm: 11.5201 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2189 loss: 1.2189 2022/07/30 09:38:58 - mmengine - INFO - Epoch(train) [160][1500/3757] lr: 3.3210e-04 eta: 8:57:23 time: 0.4157 data_time: 0.0218 memory: 17006 grad_norm: 11.6188 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1145 loss: 1.1145 2022/07/30 09:39:06 - mmengine - INFO - Epoch(train) [160][1520/3757] lr: 3.3210e-04 eta: 8:57:14 time: 0.4045 data_time: 0.0206 memory: 17006 grad_norm: 11.8551 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2153 loss: 1.2153 2022/07/30 09:39:16 - mmengine - INFO - Epoch(train) [160][1540/3757] lr: 3.3210e-04 eta: 8:57:07 time: 0.4604 data_time: 0.0212 memory: 17006 grad_norm: 12.0409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1640 loss: 1.1640 2022/07/30 09:39:24 - mmengine - INFO - Epoch(train) [160][1560/3757] lr: 3.3210e-04 eta: 8:56:58 time: 0.4065 data_time: 0.0221 memory: 17006 grad_norm: 11.9649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2951 loss: 1.2951 2022/07/30 09:39:32 - mmengine - INFO - Epoch(train) [160][1580/3757] lr: 3.3210e-04 eta: 8:56:50 time: 0.4152 data_time: 0.0205 memory: 17006 grad_norm: 12.2353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3842 loss: 1.3842 2022/07/30 09:39:40 - mmengine - INFO - Epoch(train) [160][1600/3757] lr: 3.3210e-04 eta: 8:56:41 time: 0.4082 data_time: 0.0228 memory: 17006 grad_norm: 12.0575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0517 loss: 1.0517 2022/07/30 09:39:48 - mmengine - INFO - Epoch(train) [160][1620/3757] lr: 3.3210e-04 eta: 8:56:33 time: 0.4057 data_time: 0.0188 memory: 17006 grad_norm: 11.9831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0368 loss: 1.0368 2022/07/30 09:39:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:39:57 - mmengine - INFO - Epoch(train) [160][1640/3757] lr: 3.3210e-04 eta: 8:56:25 time: 0.4257 data_time: 0.0226 memory: 17006 grad_norm: 11.8122 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2778 loss: 1.2778 2022/07/30 09:40:05 - mmengine - INFO - Epoch(train) [160][1660/3757] lr: 3.3210e-04 eta: 8:56:16 time: 0.4074 data_time: 0.0200 memory: 17006 grad_norm: 11.5197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0621 loss: 1.0621 2022/07/30 09:40:14 - mmengine - INFO - Epoch(train) [160][1680/3757] lr: 3.3210e-04 eta: 8:56:08 time: 0.4489 data_time: 0.0208 memory: 17006 grad_norm: 11.4729 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1661 loss: 1.1661 2022/07/30 09:40:22 - mmengine - INFO - Epoch(train) [160][1700/3757] lr: 3.3210e-04 eta: 8:56:00 time: 0.4077 data_time: 0.0193 memory: 17006 grad_norm: 11.2495 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0274 loss: 1.0274 2022/07/30 09:40:31 - mmengine - INFO - Epoch(train) [160][1720/3757] lr: 3.3210e-04 eta: 8:55:51 time: 0.4060 data_time: 0.0208 memory: 17006 grad_norm: 11.9136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1104 loss: 1.1104 2022/07/30 09:40:39 - mmengine - INFO - Epoch(train) [160][1740/3757] lr: 3.3210e-04 eta: 8:55:43 time: 0.4394 data_time: 0.0198 memory: 17006 grad_norm: 11.6418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3217 loss: 1.3217 2022/07/30 09:40:48 - mmengine - INFO - Epoch(train) [160][1760/3757] lr: 3.3210e-04 eta: 8:55:35 time: 0.4094 data_time: 0.0231 memory: 17006 grad_norm: 11.8008 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0094 loss: 1.0094 2022/07/30 09:40:56 - mmengine - INFO - Epoch(train) [160][1780/3757] lr: 3.3210e-04 eta: 8:55:26 time: 0.4069 data_time: 0.0191 memory: 17006 grad_norm: 12.2231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0286 loss: 1.0286 2022/07/30 09:41:04 - mmengine - INFO - Epoch(train) [160][1800/3757] lr: 3.3210e-04 eta: 8:55:18 time: 0.4252 data_time: 0.0235 memory: 17006 grad_norm: 12.2257 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2950 loss: 1.2950 2022/07/30 09:41:12 - mmengine - INFO - Epoch(train) [160][1820/3757] lr: 3.3210e-04 eta: 8:55:10 time: 0.4104 data_time: 0.0189 memory: 17006 grad_norm: 11.9187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3587 loss: 1.3587 2022/07/30 09:41:21 - mmengine - INFO - Epoch(train) [160][1840/3757] lr: 3.3210e-04 eta: 8:55:01 time: 0.4133 data_time: 0.0219 memory: 17006 grad_norm: 11.4355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0377 loss: 1.0377 2022/07/30 09:41:29 - mmengine - INFO - Epoch(train) [160][1860/3757] lr: 3.3210e-04 eta: 8:54:53 time: 0.4195 data_time: 0.0194 memory: 17006 grad_norm: 11.8333 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2592 loss: 1.2592 2022/07/30 09:41:37 - mmengine - INFO - Epoch(train) [160][1880/3757] lr: 3.3210e-04 eta: 8:54:45 time: 0.4118 data_time: 0.0224 memory: 17006 grad_norm: 12.1923 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4457 loss: 1.4457 2022/07/30 09:41:46 - mmengine - INFO - Epoch(train) [160][1900/3757] lr: 3.3210e-04 eta: 8:54:36 time: 0.4173 data_time: 0.0203 memory: 17006 grad_norm: 11.7020 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4001 loss: 1.4001 2022/07/30 09:41:54 - mmengine - INFO - Epoch(train) [160][1920/3757] lr: 3.3210e-04 eta: 8:54:28 time: 0.4232 data_time: 0.0238 memory: 17006 grad_norm: 11.8185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1824 loss: 1.1824 2022/07/30 09:42:02 - mmengine - INFO - Epoch(train) [160][1940/3757] lr: 3.3210e-04 eta: 8:54:20 time: 0.4070 data_time: 0.0195 memory: 17006 grad_norm: 12.1856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9396 loss: 0.9396 2022/07/30 09:42:11 - mmengine - INFO - Epoch(train) [160][1960/3757] lr: 3.3210e-04 eta: 8:54:11 time: 0.4087 data_time: 0.0224 memory: 17006 grad_norm: 11.9918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3528 loss: 1.3528 2022/07/30 09:42:19 - mmengine - INFO - Epoch(train) [160][1980/3757] lr: 3.3210e-04 eta: 8:54:03 time: 0.4372 data_time: 0.0230 memory: 17006 grad_norm: 12.0820 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2764 loss: 1.2764 2022/07/30 09:42:28 - mmengine - INFO - Epoch(train) [160][2000/3757] lr: 3.3210e-04 eta: 8:53:55 time: 0.4067 data_time: 0.0207 memory: 17006 grad_norm: 11.9813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1937 loss: 1.1937 2022/07/30 09:42:36 - mmengine - INFO - Epoch(train) [160][2020/3757] lr: 3.3210e-04 eta: 8:53:47 time: 0.4192 data_time: 0.0233 memory: 17006 grad_norm: 12.0578 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3100 loss: 1.3100 2022/07/30 09:42:44 - mmengine - INFO - Epoch(train) [160][2040/3757] lr: 3.3210e-04 eta: 8:53:38 time: 0.4065 data_time: 0.0208 memory: 17006 grad_norm: 12.1826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9749 loss: 0.9749 2022/07/30 09:42:53 - mmengine - INFO - Epoch(train) [160][2060/3757] lr: 3.3210e-04 eta: 8:53:30 time: 0.4232 data_time: 0.0242 memory: 17006 grad_norm: 12.1395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/07/30 09:43:01 - mmengine - INFO - Epoch(train) [160][2080/3757] lr: 3.3210e-04 eta: 8:53:21 time: 0.4057 data_time: 0.0212 memory: 17006 grad_norm: 12.5658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2034 loss: 1.2034 2022/07/30 09:43:09 - mmengine - INFO - Epoch(train) [160][2100/3757] lr: 3.3210e-04 eta: 8:53:13 time: 0.4117 data_time: 0.0187 memory: 17006 grad_norm: 11.9138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4252 loss: 1.4252 2022/07/30 09:43:18 - mmengine - INFO - Epoch(train) [160][2120/3757] lr: 3.3210e-04 eta: 8:53:05 time: 0.4277 data_time: 0.0212 memory: 17006 grad_norm: 12.1983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2300 loss: 1.2300 2022/07/30 09:43:26 - mmengine - INFO - Epoch(train) [160][2140/3757] lr: 3.3210e-04 eta: 8:52:56 time: 0.4108 data_time: 0.0193 memory: 17006 grad_norm: 11.5174 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2318 loss: 1.2318 2022/07/30 09:43:34 - mmengine - INFO - Epoch(train) [160][2160/3757] lr: 3.3210e-04 eta: 8:52:48 time: 0.4200 data_time: 0.0237 memory: 17006 grad_norm: 11.5751 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2611 loss: 1.2611 2022/07/30 09:43:43 - mmengine - INFO - Epoch(train) [160][2180/3757] lr: 3.3210e-04 eta: 8:52:40 time: 0.4359 data_time: 0.0189 memory: 17006 grad_norm: 11.5717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2156 loss: 1.2156 2022/07/30 09:43:52 - mmengine - INFO - Epoch(train) [160][2200/3757] lr: 3.3210e-04 eta: 8:52:32 time: 0.4181 data_time: 0.0241 memory: 17006 grad_norm: 11.5751 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0696 loss: 1.0696 2022/07/30 09:44:00 - mmengine - INFO - Epoch(train) [160][2220/3757] lr: 3.3210e-04 eta: 8:52:23 time: 0.4067 data_time: 0.0189 memory: 17006 grad_norm: 11.1006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/07/30 09:44:08 - mmengine - INFO - Epoch(train) [160][2240/3757] lr: 3.3210e-04 eta: 8:52:15 time: 0.4067 data_time: 0.0217 memory: 17006 grad_norm: 12.1250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3096 loss: 1.3096 2022/07/30 09:44:17 - mmengine - INFO - Epoch(train) [160][2260/3757] lr: 3.3210e-04 eta: 8:52:07 time: 0.4351 data_time: 0.0199 memory: 17006 grad_norm: 11.7598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1025 loss: 1.1025 2022/07/30 09:44:25 - mmengine - INFO - Epoch(train) [160][2280/3757] lr: 3.3210e-04 eta: 8:51:58 time: 0.4072 data_time: 0.0216 memory: 17006 grad_norm: 12.3324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2174 loss: 1.2174 2022/07/30 09:44:33 - mmengine - INFO - Epoch(train) [160][2300/3757] lr: 3.3210e-04 eta: 8:51:50 time: 0.4272 data_time: 0.0207 memory: 17006 grad_norm: 11.1692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0709 loss: 1.0709 2022/07/30 09:44:42 - mmengine - INFO - Epoch(train) [160][2320/3757] lr: 3.3210e-04 eta: 8:51:42 time: 0.4083 data_time: 0.0210 memory: 17006 grad_norm: 12.2347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4269 loss: 1.4269 2022/07/30 09:44:50 - mmengine - INFO - Epoch(train) [160][2340/3757] lr: 3.3210e-04 eta: 8:51:33 time: 0.4063 data_time: 0.0200 memory: 17006 grad_norm: 11.7299 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3571 loss: 1.3571 2022/07/30 09:44:59 - mmengine - INFO - Epoch(train) [160][2360/3757] lr: 3.3210e-04 eta: 8:51:25 time: 0.4716 data_time: 0.0205 memory: 17006 grad_norm: 11.9571 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4498 loss: 1.4498 2022/07/30 09:45:07 - mmengine - INFO - Epoch(train) [160][2380/3757] lr: 3.3210e-04 eta: 8:51:17 time: 0.4081 data_time: 0.0207 memory: 17006 grad_norm: 11.9232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9802 loss: 0.9802 2022/07/30 09:45:16 - mmengine - INFO - Epoch(train) [160][2400/3757] lr: 3.3210e-04 eta: 8:51:09 time: 0.4223 data_time: 0.0256 memory: 17006 grad_norm: 12.3223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2556 loss: 1.2556 2022/07/30 09:45:24 - mmengine - INFO - Epoch(train) [160][2420/3757] lr: 3.3210e-04 eta: 8:51:00 time: 0.4049 data_time: 0.0199 memory: 17006 grad_norm: 12.2652 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2961 loss: 1.2961 2022/07/30 09:45:33 - mmengine - INFO - Epoch(train) [160][2440/3757] lr: 3.3210e-04 eta: 8:50:52 time: 0.4327 data_time: 0.0233 memory: 17006 grad_norm: 12.1994 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3573 loss: 1.3573 2022/07/30 09:45:41 - mmengine - INFO - Epoch(train) [160][2460/3757] lr: 3.3210e-04 eta: 8:50:44 time: 0.4055 data_time: 0.0194 memory: 17006 grad_norm: 12.1681 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2692 loss: 1.2692 2022/07/30 09:45:49 - mmengine - INFO - Epoch(train) [160][2480/3757] lr: 3.3210e-04 eta: 8:50:35 time: 0.4060 data_time: 0.0213 memory: 17006 grad_norm: 11.3244 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1673 loss: 1.1673 2022/07/30 09:45:57 - mmengine - INFO - Epoch(train) [160][2500/3757] lr: 3.3210e-04 eta: 8:50:27 time: 0.4252 data_time: 0.0220 memory: 17006 grad_norm: 11.9273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0363 loss: 1.0363 2022/07/30 09:46:06 - mmengine - INFO - Epoch(train) [160][2520/3757] lr: 3.3210e-04 eta: 8:50:18 time: 0.4088 data_time: 0.0224 memory: 17006 grad_norm: 11.3198 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2350 loss: 1.2350 2022/07/30 09:46:14 - mmengine - INFO - Epoch(train) [160][2540/3757] lr: 3.3210e-04 eta: 8:50:10 time: 0.4118 data_time: 0.0195 memory: 17006 grad_norm: 11.5356 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1620 loss: 1.1620 2022/07/30 09:46:22 - mmengine - INFO - Epoch(train) [160][2560/3757] lr: 3.3210e-04 eta: 8:50:02 time: 0.4073 data_time: 0.0210 memory: 17006 grad_norm: 11.6475 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9152 loss: 0.9152 2022/07/30 09:46:30 - mmengine - INFO - Epoch(train) [160][2580/3757] lr: 3.3210e-04 eta: 8:49:53 time: 0.4069 data_time: 0.0205 memory: 17006 grad_norm: 11.6758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9825 loss: 0.9825 2022/07/30 09:46:39 - mmengine - INFO - Epoch(train) [160][2600/3757] lr: 3.3210e-04 eta: 8:49:45 time: 0.4208 data_time: 0.0227 memory: 17006 grad_norm: 11.4901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9580 loss: 0.9580 2022/07/30 09:46:47 - mmengine - INFO - Epoch(train) [160][2620/3757] lr: 3.3210e-04 eta: 8:49:37 time: 0.4079 data_time: 0.0200 memory: 17006 grad_norm: 11.9334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2909 loss: 1.2909 2022/07/30 09:46:54 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:46:55 - mmengine - INFO - Epoch(train) [160][2640/3757] lr: 3.3210e-04 eta: 8:49:28 time: 0.4138 data_time: 0.0227 memory: 17006 grad_norm: 11.7700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1570 loss: 1.1570 2022/07/30 09:47:03 - mmengine - INFO - Epoch(train) [160][2660/3757] lr: 3.3210e-04 eta: 8:49:20 time: 0.4051 data_time: 0.0187 memory: 17006 grad_norm: 11.9275 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2400 loss: 1.2400 2022/07/30 09:47:12 - mmengine - INFO - Epoch(train) [160][2680/3757] lr: 3.3210e-04 eta: 8:49:11 time: 0.4166 data_time: 0.0217 memory: 17006 grad_norm: 12.1686 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1203 loss: 1.1203 2022/07/30 09:47:20 - mmengine - INFO - Epoch(train) [160][2700/3757] lr: 3.3210e-04 eta: 8:49:03 time: 0.4047 data_time: 0.0192 memory: 17006 grad_norm: 11.7592 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2165 loss: 1.2165 2022/07/30 09:47:28 - mmengine - INFO - Epoch(train) [160][2720/3757] lr: 3.3210e-04 eta: 8:48:55 time: 0.4081 data_time: 0.0214 memory: 17006 grad_norm: 11.7898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2473 loss: 1.2473 2022/07/30 09:47:36 - mmengine - INFO - Epoch(train) [160][2740/3757] lr: 3.3210e-04 eta: 8:48:46 time: 0.4181 data_time: 0.0203 memory: 17006 grad_norm: 11.4647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9309 loss: 0.9309 2022/07/30 09:47:45 - mmengine - INFO - Epoch(train) [160][2760/3757] lr: 3.3210e-04 eta: 8:48:38 time: 0.4077 data_time: 0.0221 memory: 17006 grad_norm: 12.4917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2670 loss: 1.2670 2022/07/30 09:47:53 - mmengine - INFO - Epoch(train) [160][2780/3757] lr: 3.3210e-04 eta: 8:48:29 time: 0.4151 data_time: 0.0212 memory: 17006 grad_norm: 11.5858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0175 loss: 1.0175 2022/07/30 09:48:01 - mmengine - INFO - Epoch(train) [160][2800/3757] lr: 3.3210e-04 eta: 8:48:21 time: 0.4061 data_time: 0.0220 memory: 17006 grad_norm: 11.0811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2367 loss: 1.2367 2022/07/30 09:48:09 - mmengine - INFO - Epoch(train) [160][2820/3757] lr: 3.3210e-04 eta: 8:48:13 time: 0.4076 data_time: 0.0206 memory: 17006 grad_norm: 12.2645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4013 loss: 1.4013 2022/07/30 09:48:18 - mmengine - INFO - Epoch(train) [160][2840/3757] lr: 3.3210e-04 eta: 8:48:04 time: 0.4187 data_time: 0.0247 memory: 17006 grad_norm: 11.5753 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1304 loss: 1.1304 2022/07/30 09:48:26 - mmengine - INFO - Epoch(train) [160][2860/3757] lr: 3.3210e-04 eta: 8:47:56 time: 0.4055 data_time: 0.0186 memory: 17006 grad_norm: 11.8073 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0553 loss: 1.0553 2022/07/30 09:48:34 - mmengine - INFO - Epoch(train) [160][2880/3757] lr: 3.3210e-04 eta: 8:47:48 time: 0.4223 data_time: 0.0232 memory: 17006 grad_norm: 12.0242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2609 loss: 1.2609 2022/07/30 09:48:42 - mmengine - INFO - Epoch(train) [160][2900/3757] lr: 3.3210e-04 eta: 8:47:39 time: 0.4065 data_time: 0.0189 memory: 17006 grad_norm: 11.5847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1438 loss: 1.1438 2022/07/30 09:48:51 - mmengine - INFO - Epoch(train) [160][2920/3757] lr: 3.3210e-04 eta: 8:47:31 time: 0.4064 data_time: 0.0214 memory: 17006 grad_norm: 11.6713 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1272 loss: 1.1272 2022/07/30 09:48:59 - mmengine - INFO - Epoch(train) [160][2940/3757] lr: 3.3210e-04 eta: 8:47:23 time: 0.4281 data_time: 0.0212 memory: 17006 grad_norm: 12.3365 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4610 loss: 1.4610 2022/07/30 09:49:07 - mmengine - INFO - Epoch(train) [160][2960/3757] lr: 3.3210e-04 eta: 8:47:14 time: 0.4093 data_time: 0.0228 memory: 17006 grad_norm: 12.0683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2459 loss: 1.2459 2022/07/30 09:49:16 - mmengine - INFO - Epoch(train) [160][2980/3757] lr: 3.3210e-04 eta: 8:47:06 time: 0.4179 data_time: 0.0218 memory: 17006 grad_norm: 12.1941 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5071 loss: 1.5071 2022/07/30 09:49:24 - mmengine - INFO - Epoch(train) [160][3000/3757] lr: 3.3210e-04 eta: 8:46:58 time: 0.4238 data_time: 0.0225 memory: 17006 grad_norm: 11.2800 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/07/30 09:49:33 - mmengine - INFO - Epoch(train) [160][3020/3757] lr: 3.3210e-04 eta: 8:46:49 time: 0.4115 data_time: 0.0192 memory: 17006 grad_norm: 12.2465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1109 loss: 1.1109 2022/07/30 09:49:41 - mmengine - INFO - Epoch(train) [160][3040/3757] lr: 3.3210e-04 eta: 8:46:41 time: 0.4076 data_time: 0.0214 memory: 17006 grad_norm: 12.3156 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2949 loss: 1.2949 2022/07/30 09:49:49 - mmengine - INFO - Epoch(train) [160][3060/3757] lr: 3.3210e-04 eta: 8:46:32 time: 0.4161 data_time: 0.0211 memory: 17006 grad_norm: 11.5409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1767 loss: 1.1767 2022/07/30 09:49:57 - mmengine - INFO - Epoch(train) [160][3080/3757] lr: 3.3210e-04 eta: 8:46:24 time: 0.4133 data_time: 0.0242 memory: 17006 grad_norm: 11.0676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1873 loss: 1.1873 2022/07/30 09:50:06 - mmengine - INFO - Epoch(train) [160][3100/3757] lr: 3.3210e-04 eta: 8:46:16 time: 0.4068 data_time: 0.0200 memory: 17006 grad_norm: 11.8966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0548 loss: 1.0548 2022/07/30 09:50:14 - mmengine - INFO - Epoch(train) [160][3120/3757] lr: 3.3210e-04 eta: 8:46:07 time: 0.4244 data_time: 0.0235 memory: 17006 grad_norm: 11.9374 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2460 loss: 1.2460 2022/07/30 09:50:22 - mmengine - INFO - Epoch(train) [160][3140/3757] lr: 3.3210e-04 eta: 8:45:59 time: 0.4044 data_time: 0.0181 memory: 17006 grad_norm: 11.9927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2966 loss: 1.2966 2022/07/30 09:50:30 - mmengine - INFO - Epoch(train) [160][3160/3757] lr: 3.3210e-04 eta: 8:45:51 time: 0.4081 data_time: 0.0226 memory: 17006 grad_norm: 11.8610 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1990 loss: 1.1990 2022/07/30 09:50:39 - mmengine - INFO - Epoch(train) [160][3180/3757] lr: 3.3210e-04 eta: 8:45:42 time: 0.4260 data_time: 0.0182 memory: 17006 grad_norm: 12.1025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2320 loss: 1.2320 2022/07/30 09:50:47 - mmengine - INFO - Epoch(train) [160][3200/3757] lr: 3.3210e-04 eta: 8:45:34 time: 0.4063 data_time: 0.0213 memory: 17006 grad_norm: 12.0700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1451 loss: 1.1451 2022/07/30 09:50:55 - mmengine - INFO - Epoch(train) [160][3220/3757] lr: 3.3210e-04 eta: 8:45:25 time: 0.4144 data_time: 0.0216 memory: 17006 grad_norm: 11.5808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0460 loss: 1.0460 2022/07/30 09:51:04 - mmengine - INFO - Epoch(train) [160][3240/3757] lr: 3.3210e-04 eta: 8:45:17 time: 0.4105 data_time: 0.0238 memory: 17006 grad_norm: 11.9311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/07/30 09:51:12 - mmengine - INFO - Epoch(train) [160][3260/3757] lr: 3.3210e-04 eta: 8:45:09 time: 0.4053 data_time: 0.0194 memory: 17006 grad_norm: 11.3785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1359 loss: 1.1359 2022/07/30 09:51:20 - mmengine - INFO - Epoch(train) [160][3280/3757] lr: 3.3210e-04 eta: 8:45:00 time: 0.4103 data_time: 0.0220 memory: 17006 grad_norm: 12.6617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3292 loss: 1.3292 2022/07/30 09:51:28 - mmengine - INFO - Epoch(train) [160][3300/3757] lr: 3.3210e-04 eta: 8:44:52 time: 0.4146 data_time: 0.0173 memory: 17006 grad_norm: 12.0018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2613 loss: 1.2613 2022/07/30 09:51:37 - mmengine - INFO - Epoch(train) [160][3320/3757] lr: 3.3210e-04 eta: 8:44:44 time: 0.4163 data_time: 0.0245 memory: 17006 grad_norm: 12.2962 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/07/30 09:51:45 - mmengine - INFO - Epoch(train) [160][3340/3757] lr: 3.3210e-04 eta: 8:44:35 time: 0.4052 data_time: 0.0186 memory: 17006 grad_norm: 11.8807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2756 loss: 1.2756 2022/07/30 09:51:53 - mmengine - INFO - Epoch(train) [160][3360/3757] lr: 3.3210e-04 eta: 8:44:27 time: 0.4237 data_time: 0.0216 memory: 17006 grad_norm: 11.6219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2637 loss: 1.2637 2022/07/30 09:52:01 - mmengine - INFO - Epoch(train) [160][3380/3757] lr: 3.3210e-04 eta: 8:44:18 time: 0.4045 data_time: 0.0186 memory: 17006 grad_norm: 11.5978 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/07/30 09:52:10 - mmengine - INFO - Epoch(train) [160][3400/3757] lr: 3.3210e-04 eta: 8:44:10 time: 0.4071 data_time: 0.0224 memory: 17006 grad_norm: 11.9735 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2299 loss: 1.2299 2022/07/30 09:52:18 - mmengine - INFO - Epoch(train) [160][3420/3757] lr: 3.3210e-04 eta: 8:44:02 time: 0.4066 data_time: 0.0200 memory: 17006 grad_norm: 12.1072 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1318 loss: 1.1318 2022/07/30 09:52:26 - mmengine - INFO - Epoch(train) [160][3440/3757] lr: 3.3210e-04 eta: 8:43:53 time: 0.4060 data_time: 0.0210 memory: 17006 grad_norm: 12.1081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1243 loss: 1.1243 2022/07/30 09:52:34 - mmengine - INFO - Epoch(train) [160][3460/3757] lr: 3.3210e-04 eta: 8:43:45 time: 0.4072 data_time: 0.0197 memory: 17006 grad_norm: 11.5850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0735 loss: 1.0735 2022/07/30 09:52:43 - mmengine - INFO - Epoch(train) [160][3480/3757] lr: 3.3210e-04 eta: 8:43:37 time: 0.4396 data_time: 0.0226 memory: 17006 grad_norm: 11.8523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/07/30 09:52:51 - mmengine - INFO - Epoch(train) [160][3500/3757] lr: 3.3210e-04 eta: 8:43:28 time: 0.4036 data_time: 0.0189 memory: 17006 grad_norm: 11.5884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/07/30 09:53:00 - mmengine - INFO - Epoch(train) [160][3520/3757] lr: 3.3210e-04 eta: 8:43:20 time: 0.4291 data_time: 0.0232 memory: 17006 grad_norm: 12.3673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3274 loss: 1.3274 2022/07/30 09:53:08 - mmengine - INFO - Epoch(train) [160][3540/3757] lr: 3.3210e-04 eta: 8:43:12 time: 0.4219 data_time: 0.0204 memory: 17006 grad_norm: 12.0001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1975 loss: 1.1975 2022/07/30 09:53:16 - mmengine - INFO - Epoch(train) [160][3560/3757] lr: 3.3210e-04 eta: 8:43:03 time: 0.4169 data_time: 0.0232 memory: 17006 grad_norm: 11.6387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1225 loss: 1.1225 2022/07/30 09:53:25 - mmengine - INFO - Epoch(train) [160][3580/3757] lr: 3.3210e-04 eta: 8:42:55 time: 0.4292 data_time: 0.0224 memory: 17006 grad_norm: 12.6304 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/07/30 09:53:34 - mmengine - INFO - Epoch(train) [160][3600/3757] lr: 3.3210e-04 eta: 8:42:47 time: 0.4211 data_time: 0.0231 memory: 17006 grad_norm: 11.4960 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9770 loss: 0.9770 2022/07/30 09:53:42 - mmengine - INFO - Epoch(train) [160][3620/3757] lr: 3.3210e-04 eta: 8:42:38 time: 0.4054 data_time: 0.0184 memory: 17006 grad_norm: 11.7568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1002 loss: 1.1002 2022/07/30 09:53:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:53:50 - mmengine - INFO - Epoch(train) [160][3640/3757] lr: 3.3210e-04 eta: 8:42:30 time: 0.4193 data_time: 0.0233 memory: 17006 grad_norm: 11.6860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2181 loss: 1.2181 2022/07/30 09:53:58 - mmengine - INFO - Epoch(train) [160][3660/3757] lr: 3.3210e-04 eta: 8:42:22 time: 0.4151 data_time: 0.0200 memory: 17006 grad_norm: 12.3342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/07/30 09:54:07 - mmengine - INFO - Epoch(train) [160][3680/3757] lr: 3.3210e-04 eta: 8:42:13 time: 0.4099 data_time: 0.0223 memory: 17006 grad_norm: 11.8030 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2956 loss: 1.2956 2022/07/30 09:54:15 - mmengine - INFO - Epoch(train) [160][3700/3757] lr: 3.3210e-04 eta: 8:42:05 time: 0.4230 data_time: 0.0197 memory: 17006 grad_norm: 12.0143 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2661 loss: 1.2661 2022/07/30 09:54:23 - mmengine - INFO - Epoch(train) [160][3720/3757] lr: 3.3210e-04 eta: 8:41:57 time: 0.4073 data_time: 0.0224 memory: 17006 grad_norm: 12.0400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1722 loss: 1.1722 2022/07/30 09:54:31 - mmengine - INFO - Epoch(train) [160][3740/3757] lr: 3.3210e-04 eta: 8:41:48 time: 0.4075 data_time: 0.0196 memory: 17006 grad_norm: 12.1834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3468 loss: 1.3468 2022/07/30 09:54:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 09:54:39 - mmengine - INFO - Epoch(train) [160][3757/3757] lr: 3.3210e-04 eta: 8:41:48 time: 0.4301 data_time: 0.0198 memory: 17006 grad_norm: 12.1670 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2321 loss: 1.2321 2022/07/30 09:54:39 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/07/30 09:54:51 - mmengine - INFO - Epoch(val) [160][20/310] eta: 0:01:20 time: 0.2783 data_time: 0.1593 memory: 3958 2022/07/30 09:54:55 - mmengine - INFO - Epoch(val) [160][40/310] eta: 0:00:56 time: 0.2101 data_time: 0.0698 memory: 3958 2022/07/30 09:54:59 - mmengine - INFO - Epoch(val) [160][60/310] eta: 0:00:52 time: 0.2092 data_time: 0.0885 memory: 3958 2022/07/30 09:55:04 - mmengine - INFO - Epoch(val) [160][80/310] eta: 0:00:50 time: 0.2180 data_time: 0.0943 memory: 3958 2022/07/30 09:55:08 - mmengine - INFO - Epoch(val) [160][100/310] eta: 0:00:44 time: 0.2138 data_time: 0.0951 memory: 3958 2022/07/30 09:55:12 - mmengine - INFO - Epoch(val) [160][120/310] eta: 0:00:38 time: 0.2052 data_time: 0.0852 memory: 3958 2022/07/30 09:55:17 - mmengine - INFO - Epoch(val) [160][140/310] eta: 0:00:41 time: 0.2436 data_time: 0.0987 memory: 3958 2022/07/30 09:55:21 - mmengine - INFO - Epoch(val) [160][160/310] eta: 0:00:31 time: 0.2119 data_time: 0.0904 memory: 3958 2022/07/30 09:55:25 - mmengine - INFO - Epoch(val) [160][180/310] eta: 0:00:27 time: 0.2150 data_time: 0.0935 memory: 3958 2022/07/30 09:55:29 - mmengine - INFO - Epoch(val) [160][200/310] eta: 0:00:22 time: 0.2037 data_time: 0.0831 memory: 3958 2022/07/30 09:55:35 - mmengine - INFO - Epoch(val) [160][220/310] eta: 0:00:22 time: 0.2547 data_time: 0.1338 memory: 3958 2022/07/30 09:55:39 - mmengine - INFO - Epoch(val) [160][240/310] eta: 0:00:14 time: 0.2019 data_time: 0.0828 memory: 3958 2022/07/30 09:55:43 - mmengine - INFO - Epoch(val) [160][260/310] eta: 0:00:12 time: 0.2455 data_time: 0.1265 memory: 3958 2022/07/30 09:55:47 - mmengine - INFO - Epoch(val) [160][280/310] eta: 0:00:04 time: 0.1533 data_time: 0.0455 memory: 3958 2022/07/30 09:55:49 - mmengine - INFO - Epoch(val) [160][300/310] eta: 0:00:01 time: 0.1388 data_time: 0.0383 memory: 3958 2022/07/30 09:55:52 - mmengine - INFO - Epoch(val) [160][310/310] acc/top1: 0.6737 acc/top5: 0.8715 acc/mean1: 0.6736 2022/07/30 09:55:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/best_acc/top1_epoch_141.pth is removed 2022/07/30 09:55:54 - mmengine - INFO - The best checkpoint with 0.6737 acc/top1 at 161 epoch is saved to best_acc/top1_epoch_161.pth. 2022/07/30 09:56:04 - mmengine - INFO - Epoch(train) [161][20/3757] lr: 3.0154e-04 eta: 8:41:30 time: 0.4964 data_time: 0.0808 memory: 17006 grad_norm: 11.7845 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2682 loss: 1.2682 2022/07/30 09:56:12 - mmengine - INFO - Epoch(train) [161][40/3757] lr: 3.0154e-04 eta: 8:41:22 time: 0.4101 data_time: 0.0223 memory: 17006 grad_norm: 11.3228 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2029 loss: 1.2029 2022/07/30 09:56:20 - mmengine - INFO - Epoch(train) [161][60/3757] lr: 3.0154e-04 eta: 8:41:14 time: 0.4107 data_time: 0.0197 memory: 17006 grad_norm: 11.5334 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2095 loss: 1.2095 2022/07/30 09:56:29 - mmengine - INFO - Epoch(train) [161][80/3757] lr: 3.0154e-04 eta: 8:41:05 time: 0.4085 data_time: 0.0226 memory: 17006 grad_norm: 11.1011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1763 loss: 1.1763 2022/07/30 09:56:37 - mmengine - INFO - Epoch(train) [161][100/3757] lr: 3.0154e-04 eta: 8:40:57 time: 0.4245 data_time: 0.0191 memory: 17006 grad_norm: 11.7340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2682 loss: 1.2682 2022/07/30 09:56:45 - mmengine - INFO - Epoch(train) [161][120/3757] lr: 3.0154e-04 eta: 8:40:49 time: 0.4068 data_time: 0.0219 memory: 17006 grad_norm: 10.9948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1879 loss: 1.1879 2022/07/30 09:56:54 - mmengine - INFO - Epoch(train) [161][140/3757] lr: 3.0154e-04 eta: 8:40:40 time: 0.4304 data_time: 0.0204 memory: 17006 grad_norm: 11.2267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0473 loss: 1.0473 2022/07/30 09:57:02 - mmengine - INFO - Epoch(train) [161][160/3757] lr: 3.0154e-04 eta: 8:40:32 time: 0.4060 data_time: 0.0219 memory: 17006 grad_norm: 12.0569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/07/30 09:57:10 - mmengine - INFO - Epoch(train) [161][180/3757] lr: 3.0154e-04 eta: 8:40:23 time: 0.4060 data_time: 0.0189 memory: 17006 grad_norm: 11.7832 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1226 loss: 1.1226 2022/07/30 09:57:19 - mmengine - INFO - Epoch(train) [161][200/3757] lr: 3.0154e-04 eta: 8:40:15 time: 0.4197 data_time: 0.0199 memory: 17006 grad_norm: 12.0531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3574 loss: 1.3574 2022/07/30 09:57:27 - mmengine - INFO - Epoch(train) [161][220/3757] lr: 3.0154e-04 eta: 8:40:07 time: 0.4045 data_time: 0.0187 memory: 17006 grad_norm: 11.3908 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3067 loss: 1.3067 2022/07/30 09:57:37 - mmengine - INFO - Epoch(train) [161][240/3757] lr: 3.0154e-04 eta: 8:39:59 time: 0.4836 data_time: 0.0229 memory: 17006 grad_norm: 11.2194 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1097 loss: 1.1097 2022/07/30 09:57:45 - mmengine - INFO - Epoch(train) [161][260/3757] lr: 3.0154e-04 eta: 8:39:51 time: 0.4044 data_time: 0.0183 memory: 17006 grad_norm: 11.9109 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4303 loss: 1.4303 2022/07/30 09:57:53 - mmengine - INFO - Epoch(train) [161][280/3757] lr: 3.0154e-04 eta: 8:39:42 time: 0.4196 data_time: 0.0235 memory: 17006 grad_norm: 12.0502 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3667 loss: 1.3667 2022/07/30 09:58:01 - mmengine - INFO - Epoch(train) [161][300/3757] lr: 3.0154e-04 eta: 8:39:34 time: 0.4054 data_time: 0.0178 memory: 17006 grad_norm: 11.9726 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3423 loss: 1.3423 2022/07/30 09:58:09 - mmengine - INFO - Epoch(train) [161][320/3757] lr: 3.0154e-04 eta: 8:39:25 time: 0.4091 data_time: 0.0205 memory: 17006 grad_norm: 12.1423 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2002 loss: 1.2002 2022/07/30 09:58:18 - mmengine - INFO - Epoch(train) [161][340/3757] lr: 3.0154e-04 eta: 8:39:17 time: 0.4203 data_time: 0.0187 memory: 17006 grad_norm: 12.1441 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2052 loss: 1.2052 2022/07/30 09:58:26 - mmengine - INFO - Epoch(train) [161][360/3757] lr: 3.0154e-04 eta: 8:39:09 time: 0.4103 data_time: 0.0215 memory: 17006 grad_norm: 11.3978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2566 loss: 1.2566 2022/07/30 09:58:34 - mmengine - INFO - Epoch(train) [161][380/3757] lr: 3.0154e-04 eta: 8:39:00 time: 0.4134 data_time: 0.0197 memory: 17006 grad_norm: 11.2211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9999 loss: 0.9999 2022/07/30 09:58:43 - mmengine - INFO - Epoch(train) [161][400/3757] lr: 3.0154e-04 eta: 8:38:52 time: 0.4107 data_time: 0.0219 memory: 17006 grad_norm: 11.5056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1847 loss: 1.1847 2022/07/30 09:58:51 - mmengine - INFO - Epoch(train) [161][420/3757] lr: 3.0154e-04 eta: 8:38:44 time: 0.4048 data_time: 0.0186 memory: 17006 grad_norm: 11.7416 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3610 loss: 1.3610 2022/07/30 09:59:00 - mmengine - INFO - Epoch(train) [161][440/3757] lr: 3.0154e-04 eta: 8:38:36 time: 0.4506 data_time: 0.0229 memory: 17006 grad_norm: 11.9041 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2167 loss: 1.2167 2022/07/30 09:59:08 - mmengine - INFO - Epoch(train) [161][460/3757] lr: 3.0154e-04 eta: 8:38:27 time: 0.4045 data_time: 0.0183 memory: 17006 grad_norm: 11.8089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0821 loss: 1.0821 2022/07/30 09:59:16 - mmengine - INFO - Epoch(train) [161][480/3757] lr: 3.0154e-04 eta: 8:38:19 time: 0.4144 data_time: 0.0226 memory: 17006 grad_norm: 11.7927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8357 loss: 0.8357 2022/07/30 09:59:24 - mmengine - INFO - Epoch(train) [161][500/3757] lr: 3.0154e-04 eta: 8:38:10 time: 0.4102 data_time: 0.0183 memory: 17006 grad_norm: 11.7707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2549 loss: 1.2549 2022/07/30 09:59:33 - mmengine - INFO - Epoch(train) [161][520/3757] lr: 3.0154e-04 eta: 8:38:02 time: 0.4318 data_time: 0.0221 memory: 17006 grad_norm: 11.6248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2038 loss: 1.2038 2022/07/30 09:59:41 - mmengine - INFO - Epoch(train) [161][540/3757] lr: 3.0154e-04 eta: 8:37:54 time: 0.4092 data_time: 0.0188 memory: 17006 grad_norm: 11.9615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9656 loss: 0.9656 2022/07/30 09:59:50 - mmengine - INFO - Epoch(train) [161][560/3757] lr: 3.0154e-04 eta: 8:37:45 time: 0.4073 data_time: 0.0216 memory: 17006 grad_norm: 12.2308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0654 loss: 1.0654 2022/07/30 09:59:58 - mmengine - INFO - Epoch(train) [161][580/3757] lr: 3.0154e-04 eta: 8:37:37 time: 0.4261 data_time: 0.0199 memory: 17006 grad_norm: 11.9043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2394 loss: 1.2394 2022/07/30 10:00:06 - mmengine - INFO - Epoch(train) [161][600/3757] lr: 3.0154e-04 eta: 8:37:29 time: 0.4089 data_time: 0.0221 memory: 17006 grad_norm: 11.9618 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0350 loss: 1.0350 2022/07/30 10:00:15 - mmengine - INFO - Epoch(train) [161][620/3757] lr: 3.0154e-04 eta: 8:37:20 time: 0.4125 data_time: 0.0199 memory: 17006 grad_norm: 11.8678 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8908 loss: 0.8908 2022/07/30 10:00:23 - mmengine - INFO - Epoch(train) [161][640/3757] lr: 3.0154e-04 eta: 8:37:12 time: 0.4078 data_time: 0.0224 memory: 17006 grad_norm: 12.3133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0239 loss: 1.0239 2022/07/30 10:00:31 - mmengine - INFO - Epoch(train) [161][660/3757] lr: 3.0154e-04 eta: 8:37:04 time: 0.4260 data_time: 0.0177 memory: 17006 grad_norm: 12.1790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3512 loss: 1.3512 2022/07/30 10:00:40 - mmengine - INFO - Epoch(train) [161][680/3757] lr: 3.0154e-04 eta: 8:36:55 time: 0.4091 data_time: 0.0207 memory: 17006 grad_norm: 11.7772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9557 loss: 0.9557 2022/07/30 10:00:48 - mmengine - INFO - Epoch(train) [161][700/3757] lr: 3.0154e-04 eta: 8:36:47 time: 0.4246 data_time: 0.0216 memory: 17006 grad_norm: 12.1570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2958 loss: 1.2958 2022/07/30 10:00:57 - mmengine - INFO - Epoch(train) [161][720/3757] lr: 3.0154e-04 eta: 8:36:39 time: 0.4238 data_time: 0.0209 memory: 17006 grad_norm: 12.2953 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1742 loss: 1.1742 2022/07/30 10:01:05 - mmengine - INFO - Epoch(train) [161][740/3757] lr: 3.0154e-04 eta: 8:36:30 time: 0.4183 data_time: 0.0196 memory: 17006 grad_norm: 10.7264 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1628 loss: 1.1628 2022/07/30 10:01:14 - mmengine - INFO - Epoch(train) [161][760/3757] lr: 3.0154e-04 eta: 8:36:22 time: 0.4350 data_time: 0.0223 memory: 17006 grad_norm: 12.3115 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1746 loss: 1.1746 2022/07/30 10:01:22 - mmengine - INFO - Epoch(train) [161][780/3757] lr: 3.0154e-04 eta: 8:36:14 time: 0.4044 data_time: 0.0182 memory: 17006 grad_norm: 11.9587 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4265 loss: 1.4265 2022/07/30 10:01:30 - mmengine - INFO - Epoch(train) [161][800/3757] lr: 3.0154e-04 eta: 8:36:06 time: 0.4178 data_time: 0.0244 memory: 17006 grad_norm: 11.8503 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3567 loss: 1.3567 2022/07/30 10:01:39 - mmengine - INFO - Epoch(train) [161][820/3757] lr: 3.0154e-04 eta: 8:35:57 time: 0.4210 data_time: 0.0214 memory: 17006 grad_norm: 12.1095 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2858 loss: 1.2858 2022/07/30 10:01:47 - mmengine - INFO - Epoch(train) [161][840/3757] lr: 3.0154e-04 eta: 8:35:49 time: 0.4209 data_time: 0.0214 memory: 17006 grad_norm: 11.2306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0587 loss: 1.0587 2022/07/30 10:01:56 - mmengine - INFO - Epoch(train) [161][860/3757] lr: 3.0154e-04 eta: 8:35:41 time: 0.4318 data_time: 0.0213 memory: 17006 grad_norm: 11.8931 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3402 loss: 1.3402 2022/07/30 10:02:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:02:04 - mmengine - INFO - Epoch(train) [161][880/3757] lr: 3.0154e-04 eta: 8:35:32 time: 0.4185 data_time: 0.0227 memory: 17006 grad_norm: 12.0076 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1841 loss: 1.1841 2022/07/30 10:02:12 - mmengine - INFO - Epoch(train) [161][900/3757] lr: 3.0154e-04 eta: 8:35:24 time: 0.4044 data_time: 0.0182 memory: 17006 grad_norm: 11.6366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1833 loss: 1.1833 2022/07/30 10:02:21 - mmengine - INFO - Epoch(train) [161][920/3757] lr: 3.0154e-04 eta: 8:35:16 time: 0.4179 data_time: 0.0236 memory: 17006 grad_norm: 11.6822 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1172 loss: 1.1172 2022/07/30 10:02:30 - mmengine - INFO - Epoch(train) [161][940/3757] lr: 3.0154e-04 eta: 8:35:08 time: 0.4427 data_time: 0.0186 memory: 17006 grad_norm: 11.9629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2816 loss: 1.2816 2022/07/30 10:02:38 - mmengine - INFO - Epoch(train) [161][960/3757] lr: 3.0154e-04 eta: 8:34:59 time: 0.4148 data_time: 0.0210 memory: 17006 grad_norm: 11.8571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2590 loss: 1.2590 2022/07/30 10:02:46 - mmengine - INFO - Epoch(train) [161][980/3757] lr: 3.0154e-04 eta: 8:34:51 time: 0.4182 data_time: 0.0190 memory: 17006 grad_norm: 12.0345 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2458 loss: 1.2458 2022/07/30 10:02:55 - mmengine - INFO - Epoch(train) [161][1000/3757] lr: 3.0154e-04 eta: 8:34:43 time: 0.4192 data_time: 0.0227 memory: 17006 grad_norm: 11.4819 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0912 loss: 1.0912 2022/07/30 10:03:03 - mmengine - INFO - Epoch(train) [161][1020/3757] lr: 3.0154e-04 eta: 8:34:34 time: 0.4064 data_time: 0.0185 memory: 17006 grad_norm: 11.8029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2894 loss: 1.2894 2022/07/30 10:03:11 - mmengine - INFO - Epoch(train) [161][1040/3757] lr: 3.0154e-04 eta: 8:34:26 time: 0.4233 data_time: 0.0220 memory: 17006 grad_norm: 12.1927 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2758 loss: 1.2758 2022/07/30 10:03:20 - mmengine - INFO - Epoch(train) [161][1060/3757] lr: 3.0154e-04 eta: 8:34:18 time: 0.4125 data_time: 0.0201 memory: 17006 grad_norm: 12.0048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0798 loss: 1.0798 2022/07/30 10:03:28 - mmengine - INFO - Epoch(train) [161][1080/3757] lr: 3.0154e-04 eta: 8:34:09 time: 0.4198 data_time: 0.0226 memory: 17006 grad_norm: 12.1313 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/07/30 10:03:36 - mmengine - INFO - Epoch(train) [161][1100/3757] lr: 3.0154e-04 eta: 8:34:01 time: 0.4175 data_time: 0.0208 memory: 17006 grad_norm: 11.3427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1774 loss: 1.1774 2022/07/30 10:03:45 - mmengine - INFO - Epoch(train) [161][1120/3757] lr: 3.0154e-04 eta: 8:33:52 time: 0.4062 data_time: 0.0209 memory: 17006 grad_norm: 11.4777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9740 loss: 0.9740 2022/07/30 10:03:53 - mmengine - INFO - Epoch(train) [161][1140/3757] lr: 3.0154e-04 eta: 8:33:44 time: 0.4048 data_time: 0.0211 memory: 17006 grad_norm: 12.1971 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1807 loss: 1.1807 2022/07/30 10:04:01 - mmengine - INFO - Epoch(train) [161][1160/3757] lr: 3.0154e-04 eta: 8:33:36 time: 0.4288 data_time: 0.0232 memory: 17006 grad_norm: 12.1929 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/07/30 10:04:09 - mmengine - INFO - Epoch(train) [161][1180/3757] lr: 3.0154e-04 eta: 8:33:27 time: 0.4053 data_time: 0.0191 memory: 17006 grad_norm: 11.6535 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1705 loss: 1.1705 2022/07/30 10:04:18 - mmengine - INFO - Epoch(train) [161][1200/3757] lr: 3.0154e-04 eta: 8:33:19 time: 0.4317 data_time: 0.0236 memory: 17006 grad_norm: 11.5073 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4363 loss: 1.4363 2022/07/30 10:04:26 - mmengine - INFO - Epoch(train) [161][1220/3757] lr: 3.0154e-04 eta: 8:33:11 time: 0.4065 data_time: 0.0190 memory: 17006 grad_norm: 11.7972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3767 loss: 1.3767 2022/07/30 10:04:35 - mmengine - INFO - Epoch(train) [161][1240/3757] lr: 3.0154e-04 eta: 8:33:03 time: 0.4228 data_time: 0.0237 memory: 17006 grad_norm: 12.2096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1727 loss: 1.1727 2022/07/30 10:04:43 - mmengine - INFO - Epoch(train) [161][1260/3757] lr: 3.0154e-04 eta: 8:32:54 time: 0.4055 data_time: 0.0188 memory: 17006 grad_norm: 11.6461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0748 loss: 1.0748 2022/07/30 10:04:51 - mmengine - INFO - Epoch(train) [161][1280/3757] lr: 3.0154e-04 eta: 8:32:46 time: 0.4062 data_time: 0.0216 memory: 17006 grad_norm: 11.8960 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1685 loss: 1.1685 2022/07/30 10:04:59 - mmengine - INFO - Epoch(train) [161][1300/3757] lr: 3.0154e-04 eta: 8:32:37 time: 0.4188 data_time: 0.0197 memory: 17006 grad_norm: 11.6644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0378 loss: 1.0378 2022/07/30 10:05:08 - mmengine - INFO - Epoch(train) [161][1320/3757] lr: 3.0154e-04 eta: 8:32:29 time: 0.4098 data_time: 0.0219 memory: 17006 grad_norm: 12.1128 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2471 loss: 1.2471 2022/07/30 10:05:17 - mmengine - INFO - Epoch(train) [161][1340/3757] lr: 3.0154e-04 eta: 8:32:21 time: 0.4608 data_time: 0.0207 memory: 17006 grad_norm: 11.4679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2196 loss: 1.2196 2022/07/30 10:05:25 - mmengine - INFO - Epoch(train) [161][1360/3757] lr: 3.0154e-04 eta: 8:32:13 time: 0.4090 data_time: 0.0218 memory: 17006 grad_norm: 11.8855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3689 loss: 1.3689 2022/07/30 10:05:33 - mmengine - INFO - Epoch(train) [161][1380/3757] lr: 3.0154e-04 eta: 8:32:04 time: 0.4169 data_time: 0.0186 memory: 17006 grad_norm: 12.2959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2269 loss: 1.2269 2022/07/30 10:05:42 - mmengine - INFO - Epoch(train) [161][1400/3757] lr: 3.0154e-04 eta: 8:31:56 time: 0.4084 data_time: 0.0220 memory: 17006 grad_norm: 11.5507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0510 loss: 1.0510 2022/07/30 10:05:50 - mmengine - INFO - Epoch(train) [161][1420/3757] lr: 3.0154e-04 eta: 8:31:47 time: 0.4082 data_time: 0.0192 memory: 17006 grad_norm: 11.5295 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0477 loss: 1.0477 2022/07/30 10:05:58 - mmengine - INFO - Epoch(train) [161][1440/3757] lr: 3.0154e-04 eta: 8:31:39 time: 0.4240 data_time: 0.0223 memory: 17006 grad_norm: 11.9531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2880 loss: 1.2880 2022/07/30 10:06:07 - mmengine - INFO - Epoch(train) [161][1460/3757] lr: 3.0154e-04 eta: 8:31:31 time: 0.4105 data_time: 0.0195 memory: 17006 grad_norm: 12.2772 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2407 loss: 1.2407 2022/07/30 10:06:15 - mmengine - INFO - Epoch(train) [161][1480/3757] lr: 3.0154e-04 eta: 8:31:23 time: 0.4299 data_time: 0.0239 memory: 17006 grad_norm: 12.1461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0321 loss: 1.0321 2022/07/30 10:06:23 - mmengine - INFO - Epoch(train) [161][1500/3757] lr: 3.0154e-04 eta: 8:31:14 time: 0.4088 data_time: 0.0198 memory: 17006 grad_norm: 11.5857 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9581 loss: 0.9581 2022/07/30 10:06:32 - mmengine - INFO - Epoch(train) [161][1520/3757] lr: 3.0154e-04 eta: 8:31:06 time: 0.4081 data_time: 0.0233 memory: 17006 grad_norm: 12.1314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4364 loss: 1.4364 2022/07/30 10:06:40 - mmengine - INFO - Epoch(train) [161][1540/3757] lr: 3.0154e-04 eta: 8:30:58 time: 0.4198 data_time: 0.0208 memory: 17006 grad_norm: 12.0698 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3906 loss: 1.3906 2022/07/30 10:06:48 - mmengine - INFO - Epoch(train) [161][1560/3757] lr: 3.0154e-04 eta: 8:30:49 time: 0.4108 data_time: 0.0216 memory: 17006 grad_norm: 12.5526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1494 loss: 1.1494 2022/07/30 10:06:57 - mmengine - INFO - Epoch(train) [161][1580/3757] lr: 3.0154e-04 eta: 8:30:41 time: 0.4328 data_time: 0.0207 memory: 17006 grad_norm: 12.1262 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2086 loss: 1.2086 2022/07/30 10:07:05 - mmengine - INFO - Epoch(train) [161][1600/3757] lr: 3.0154e-04 eta: 8:30:33 time: 0.4162 data_time: 0.0219 memory: 17006 grad_norm: 12.3731 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0729 loss: 1.0729 2022/07/30 10:07:14 - mmengine - INFO - Epoch(train) [161][1620/3757] lr: 3.0154e-04 eta: 8:30:24 time: 0.4113 data_time: 0.0182 memory: 17006 grad_norm: 12.3456 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2846 loss: 1.2846 2022/07/30 10:07:22 - mmengine - INFO - Epoch(train) [161][1640/3757] lr: 3.0154e-04 eta: 8:30:16 time: 0.4079 data_time: 0.0215 memory: 17006 grad_norm: 11.1972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2432 loss: 1.2432 2022/07/30 10:07:30 - mmengine - INFO - Epoch(train) [161][1660/3757] lr: 3.0154e-04 eta: 8:30:07 time: 0.4091 data_time: 0.0197 memory: 17006 grad_norm: 12.4308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3033 loss: 1.3033 2022/07/30 10:07:38 - mmengine - INFO - Epoch(train) [161][1680/3757] lr: 3.0154e-04 eta: 8:29:59 time: 0.4197 data_time: 0.0253 memory: 17006 grad_norm: 11.3213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1831 loss: 1.1831 2022/07/30 10:07:47 - mmengine - INFO - Epoch(train) [161][1700/3757] lr: 3.0154e-04 eta: 8:29:51 time: 0.4062 data_time: 0.0193 memory: 17006 grad_norm: 11.6558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1562 loss: 1.1562 2022/07/30 10:07:55 - mmengine - INFO - Epoch(train) [161][1720/3757] lr: 3.0154e-04 eta: 8:29:43 time: 0.4433 data_time: 0.0223 memory: 17006 grad_norm: 11.6150 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/07/30 10:08:04 - mmengine - INFO - Epoch(train) [161][1740/3757] lr: 3.0154e-04 eta: 8:29:34 time: 0.4083 data_time: 0.0201 memory: 17006 grad_norm: 12.4680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0457 loss: 1.0457 2022/07/30 10:08:12 - mmengine - INFO - Epoch(train) [161][1760/3757] lr: 3.0154e-04 eta: 8:29:26 time: 0.4070 data_time: 0.0224 memory: 17006 grad_norm: 12.0354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0780 loss: 1.0780 2022/07/30 10:08:20 - mmengine - INFO - Epoch(train) [161][1780/3757] lr: 3.0154e-04 eta: 8:29:18 time: 0.4227 data_time: 0.0200 memory: 17006 grad_norm: 12.0854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3683 loss: 1.3683 2022/07/30 10:08:29 - mmengine - INFO - Epoch(train) [161][1800/3757] lr: 3.0154e-04 eta: 8:29:09 time: 0.4106 data_time: 0.0212 memory: 17006 grad_norm: 11.4102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3033 loss: 1.3033 2022/07/30 10:08:37 - mmengine - INFO - Epoch(train) [161][1820/3757] lr: 3.0154e-04 eta: 8:29:01 time: 0.4160 data_time: 0.0199 memory: 17006 grad_norm: 11.7705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9383 loss: 0.9383 2022/07/30 10:08:45 - mmengine - INFO - Epoch(train) [161][1840/3757] lr: 3.0154e-04 eta: 8:28:52 time: 0.4155 data_time: 0.0223 memory: 17006 grad_norm: 11.8236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0256 loss: 1.0256 2022/07/30 10:08:53 - mmengine - INFO - Epoch(train) [161][1860/3757] lr: 3.0154e-04 eta: 8:28:44 time: 0.4096 data_time: 0.0184 memory: 17006 grad_norm: 11.6613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0880 loss: 1.0880 2022/07/30 10:09:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:09:02 - mmengine - INFO - Epoch(train) [161][1880/3757] lr: 3.0154e-04 eta: 8:28:36 time: 0.4147 data_time: 0.0207 memory: 17006 grad_norm: 12.1461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3239 loss: 1.3239 2022/07/30 10:09:10 - mmengine - INFO - Epoch(train) [161][1900/3757] lr: 3.0154e-04 eta: 8:28:27 time: 0.4090 data_time: 0.0212 memory: 17006 grad_norm: 11.7446 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1962 loss: 1.1962 2022/07/30 10:09:18 - mmengine - INFO - Epoch(train) [161][1920/3757] lr: 3.0154e-04 eta: 8:28:19 time: 0.4184 data_time: 0.0229 memory: 17006 grad_norm: 11.9520 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2408 loss: 1.2408 2022/07/30 10:09:27 - mmengine - INFO - Epoch(train) [161][1940/3757] lr: 3.0154e-04 eta: 8:28:11 time: 0.4102 data_time: 0.0193 memory: 17006 grad_norm: 11.5579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0868 loss: 1.0868 2022/07/30 10:09:35 - mmengine - INFO - Epoch(train) [161][1960/3757] lr: 3.0154e-04 eta: 8:28:02 time: 0.4294 data_time: 0.0241 memory: 17006 grad_norm: 11.1663 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0240 loss: 1.0240 2022/07/30 10:09:43 - mmengine - INFO - Epoch(train) [161][1980/3757] lr: 3.0154e-04 eta: 8:27:54 time: 0.4064 data_time: 0.0189 memory: 17006 grad_norm: 11.7440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/07/30 10:09:52 - mmengine - INFO - Epoch(train) [161][2000/3757] lr: 3.0154e-04 eta: 8:27:46 time: 0.4075 data_time: 0.0226 memory: 17006 grad_norm: 12.7635 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5195 loss: 1.5195 2022/07/30 10:10:00 - mmengine - INFO - Epoch(train) [161][2020/3757] lr: 3.0154e-04 eta: 8:27:37 time: 0.4143 data_time: 0.0208 memory: 17006 grad_norm: 12.2968 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9395 loss: 0.9395 2022/07/30 10:10:08 - mmengine - INFO - Epoch(train) [161][2040/3757] lr: 3.0154e-04 eta: 8:27:29 time: 0.4126 data_time: 0.0220 memory: 17006 grad_norm: 11.4888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2216 loss: 1.2216 2022/07/30 10:10:17 - mmengine - INFO - Epoch(train) [161][2060/3757] lr: 3.0154e-04 eta: 8:27:21 time: 0.4165 data_time: 0.0208 memory: 17006 grad_norm: 11.6827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0132 loss: 1.0132 2022/07/30 10:10:25 - mmengine - INFO - Epoch(train) [161][2080/3757] lr: 3.0154e-04 eta: 8:27:12 time: 0.4075 data_time: 0.0214 memory: 17006 grad_norm: 12.2600 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2104 loss: 1.2104 2022/07/30 10:10:33 - mmengine - INFO - Epoch(train) [161][2100/3757] lr: 3.0154e-04 eta: 8:27:04 time: 0.4050 data_time: 0.0185 memory: 17006 grad_norm: 12.2030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1044 loss: 1.1044 2022/07/30 10:10:41 - mmengine - INFO - Epoch(train) [161][2120/3757] lr: 3.0154e-04 eta: 8:26:55 time: 0.4281 data_time: 0.0228 memory: 17006 grad_norm: 11.4024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0100 loss: 1.0100 2022/07/30 10:10:50 - mmengine - INFO - Epoch(train) [161][2140/3757] lr: 3.0154e-04 eta: 8:26:47 time: 0.4079 data_time: 0.0196 memory: 17006 grad_norm: 11.6966 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0392 loss: 1.0392 2022/07/30 10:10:59 - mmengine - INFO - Epoch(train) [161][2160/3757] lr: 3.0154e-04 eta: 8:26:39 time: 0.4428 data_time: 0.0249 memory: 17006 grad_norm: 12.7070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4585 loss: 1.4585 2022/07/30 10:11:07 - mmengine - INFO - Epoch(train) [161][2180/3757] lr: 3.0154e-04 eta: 8:26:31 time: 0.4053 data_time: 0.0186 memory: 17006 grad_norm: 11.5344 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3319 loss: 1.3319 2022/07/30 10:11:15 - mmengine - INFO - Epoch(train) [161][2200/3757] lr: 3.0154e-04 eta: 8:26:22 time: 0.4183 data_time: 0.0236 memory: 17006 grad_norm: 11.7632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9924 loss: 0.9924 2022/07/30 10:11:23 - mmengine - INFO - Epoch(train) [161][2220/3757] lr: 3.0154e-04 eta: 8:26:14 time: 0.4058 data_time: 0.0193 memory: 17006 grad_norm: 11.7021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2025 loss: 1.2025 2022/07/30 10:11:32 - mmengine - INFO - Epoch(train) [161][2240/3757] lr: 3.0154e-04 eta: 8:26:06 time: 0.4333 data_time: 0.0210 memory: 17006 grad_norm: 11.7046 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/07/30 10:11:41 - mmengine - INFO - Epoch(train) [161][2260/3757] lr: 3.0154e-04 eta: 8:25:57 time: 0.4324 data_time: 0.0232 memory: 17006 grad_norm: 11.6634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0210 loss: 1.0210 2022/07/30 10:11:49 - mmengine - INFO - Epoch(train) [161][2280/3757] lr: 3.0154e-04 eta: 8:25:49 time: 0.4089 data_time: 0.0215 memory: 17006 grad_norm: 11.9918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3118 loss: 1.3118 2022/07/30 10:11:57 - mmengine - INFO - Epoch(train) [161][2300/3757] lr: 3.0154e-04 eta: 8:25:41 time: 0.4315 data_time: 0.0213 memory: 17006 grad_norm: 12.0313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2683 loss: 1.2683 2022/07/30 10:12:06 - mmengine - INFO - Epoch(train) [161][2320/3757] lr: 3.0154e-04 eta: 8:25:32 time: 0.4100 data_time: 0.0236 memory: 17006 grad_norm: 11.4700 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.9919 loss: 0.9919 2022/07/30 10:12:14 - mmengine - INFO - Epoch(train) [161][2340/3757] lr: 3.0154e-04 eta: 8:25:24 time: 0.4147 data_time: 0.0192 memory: 17006 grad_norm: 11.6664 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0893 loss: 1.0893 2022/07/30 10:12:22 - mmengine - INFO - Epoch(train) [161][2360/3757] lr: 3.0154e-04 eta: 8:25:16 time: 0.4105 data_time: 0.0203 memory: 17006 grad_norm: 12.3284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1255 loss: 1.1255 2022/07/30 10:12:30 - mmengine - INFO - Epoch(train) [161][2380/3757] lr: 3.0154e-04 eta: 8:25:07 time: 0.4104 data_time: 0.0192 memory: 17006 grad_norm: 12.0245 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9741 loss: 0.9741 2022/07/30 10:12:39 - mmengine - INFO - Epoch(train) [161][2400/3757] lr: 3.0154e-04 eta: 8:24:59 time: 0.4161 data_time: 0.0231 memory: 17006 grad_norm: 12.0110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1653 loss: 1.1653 2022/07/30 10:12:47 - mmengine - INFO - Epoch(train) [161][2420/3757] lr: 3.0154e-04 eta: 8:24:51 time: 0.4073 data_time: 0.0182 memory: 17006 grad_norm: 12.0692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1989 loss: 1.1989 2022/07/30 10:12:55 - mmengine - INFO - Epoch(train) [161][2440/3757] lr: 3.0154e-04 eta: 8:24:42 time: 0.4176 data_time: 0.0230 memory: 17006 grad_norm: 12.5369 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0875 loss: 1.0875 2022/07/30 10:13:04 - mmengine - INFO - Epoch(train) [161][2460/3757] lr: 3.0154e-04 eta: 8:24:34 time: 0.4057 data_time: 0.0178 memory: 17006 grad_norm: 11.6109 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9758 loss: 0.9758 2022/07/30 10:13:12 - mmengine - INFO - Epoch(train) [161][2480/3757] lr: 3.0154e-04 eta: 8:24:25 time: 0.4114 data_time: 0.0217 memory: 17006 grad_norm: 12.5597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/07/30 10:13:20 - mmengine - INFO - Epoch(train) [161][2500/3757] lr: 3.0154e-04 eta: 8:24:17 time: 0.4231 data_time: 0.0183 memory: 17006 grad_norm: 12.5824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2591 loss: 1.2591 2022/07/30 10:13:29 - mmengine - INFO - Epoch(train) [161][2520/3757] lr: 3.0154e-04 eta: 8:24:09 time: 0.4118 data_time: 0.0211 memory: 17006 grad_norm: 11.7496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0447 loss: 1.0447 2022/07/30 10:13:37 - mmengine - INFO - Epoch(train) [161][2540/3757] lr: 3.0154e-04 eta: 8:24:00 time: 0.4223 data_time: 0.0191 memory: 17006 grad_norm: 11.7554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1316 loss: 1.1316 2022/07/30 10:13:45 - mmengine - INFO - Epoch(train) [161][2560/3757] lr: 3.0154e-04 eta: 8:23:52 time: 0.4122 data_time: 0.0222 memory: 17006 grad_norm: 12.1575 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0891 loss: 1.0891 2022/07/30 10:13:53 - mmengine - INFO - Epoch(train) [161][2580/3757] lr: 3.0154e-04 eta: 8:23:44 time: 0.4048 data_time: 0.0188 memory: 17006 grad_norm: 11.7375 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4173 loss: 1.4173 2022/07/30 10:14:02 - mmengine - INFO - Epoch(train) [161][2600/3757] lr: 3.0154e-04 eta: 8:23:35 time: 0.4185 data_time: 0.0222 memory: 17006 grad_norm: 11.8792 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2340 loss: 1.2340 2022/07/30 10:14:10 - mmengine - INFO - Epoch(train) [161][2620/3757] lr: 3.0154e-04 eta: 8:23:27 time: 0.4061 data_time: 0.0194 memory: 17006 grad_norm: 12.0624 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0512 loss: 1.0512 2022/07/30 10:14:18 - mmengine - INFO - Epoch(train) [161][2640/3757] lr: 3.0154e-04 eta: 8:23:19 time: 0.4171 data_time: 0.0226 memory: 17006 grad_norm: 11.8895 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3817 loss: 1.3817 2022/07/30 10:14:27 - mmengine - INFO - Epoch(train) [161][2660/3757] lr: 3.0154e-04 eta: 8:23:10 time: 0.4063 data_time: 0.0188 memory: 17006 grad_norm: 12.1947 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9775 loss: 0.9775 2022/07/30 10:14:35 - mmengine - INFO - Epoch(train) [161][2680/3757] lr: 3.0154e-04 eta: 8:23:02 time: 0.4176 data_time: 0.0253 memory: 17006 grad_norm: 11.8761 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/07/30 10:14:43 - mmengine - INFO - Epoch(train) [161][2700/3757] lr: 3.0154e-04 eta: 8:22:53 time: 0.4060 data_time: 0.0186 memory: 17006 grad_norm: 12.4040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3390 loss: 1.3390 2022/07/30 10:14:51 - mmengine - INFO - Epoch(train) [161][2720/3757] lr: 3.0154e-04 eta: 8:22:45 time: 0.4109 data_time: 0.0213 memory: 17006 grad_norm: 11.7059 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/07/30 10:15:00 - mmengine - INFO - Epoch(train) [161][2740/3757] lr: 3.0154e-04 eta: 8:22:37 time: 0.4202 data_time: 0.0190 memory: 17006 grad_norm: 12.0230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2851 loss: 1.2851 2022/07/30 10:15:08 - mmengine - INFO - Epoch(train) [161][2760/3757] lr: 3.0154e-04 eta: 8:22:29 time: 0.4296 data_time: 0.0227 memory: 17006 grad_norm: 12.0607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/07/30 10:15:17 - mmengine - INFO - Epoch(train) [161][2780/3757] lr: 3.0154e-04 eta: 8:22:20 time: 0.4054 data_time: 0.0188 memory: 17006 grad_norm: 11.8060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1440 loss: 1.1440 2022/07/30 10:15:25 - mmengine - INFO - Epoch(train) [161][2800/3757] lr: 3.0154e-04 eta: 8:22:12 time: 0.4242 data_time: 0.0241 memory: 17006 grad_norm: 11.6490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0016 loss: 1.0016 2022/07/30 10:15:33 - mmengine - INFO - Epoch(train) [161][2820/3757] lr: 3.0154e-04 eta: 8:22:03 time: 0.4046 data_time: 0.0194 memory: 17006 grad_norm: 11.5478 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2178 loss: 1.2178 2022/07/30 10:15:42 - mmengine - INFO - Epoch(train) [161][2840/3757] lr: 3.0154e-04 eta: 8:21:55 time: 0.4292 data_time: 0.0235 memory: 17006 grad_norm: 12.0917 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1863 loss: 1.1863 2022/07/30 10:15:50 - mmengine - INFO - Epoch(train) [161][2860/3757] lr: 3.0154e-04 eta: 8:21:47 time: 0.4061 data_time: 0.0192 memory: 17006 grad_norm: 11.6708 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3945 loss: 1.3945 2022/07/30 10:15:59 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:15:59 - mmengine - INFO - Epoch(train) [161][2880/3757] lr: 3.0154e-04 eta: 8:21:39 time: 0.4593 data_time: 0.0239 memory: 17006 grad_norm: 12.0630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0464 loss: 1.0464 2022/07/30 10:16:07 - mmengine - INFO - Epoch(train) [161][2900/3757] lr: 3.0154e-04 eta: 8:21:30 time: 0.4052 data_time: 0.0190 memory: 17006 grad_norm: 11.9922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2796 loss: 1.2796 2022/07/30 10:16:16 - mmengine - INFO - Epoch(train) [161][2920/3757] lr: 3.0154e-04 eta: 8:21:22 time: 0.4140 data_time: 0.0231 memory: 17006 grad_norm: 11.9705 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2072 loss: 1.2072 2022/07/30 10:16:24 - mmengine - INFO - Epoch(train) [161][2940/3757] lr: 3.0154e-04 eta: 8:21:14 time: 0.4068 data_time: 0.0183 memory: 17006 grad_norm: 11.7938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3283 loss: 1.3283 2022/07/30 10:16:32 - mmengine - INFO - Epoch(train) [161][2960/3757] lr: 3.0154e-04 eta: 8:21:05 time: 0.4103 data_time: 0.0221 memory: 17006 grad_norm: 11.9592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0826 loss: 1.0826 2022/07/30 10:16:41 - mmengine - INFO - Epoch(train) [161][2980/3757] lr: 3.0154e-04 eta: 8:20:57 time: 0.4279 data_time: 0.0219 memory: 17006 grad_norm: 11.6607 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0299 loss: 1.0299 2022/07/30 10:16:49 - mmengine - INFO - Epoch(train) [161][3000/3757] lr: 3.0154e-04 eta: 8:20:49 time: 0.4061 data_time: 0.0210 memory: 17006 grad_norm: 11.8023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9544 loss: 0.9544 2022/07/30 10:16:57 - mmengine - INFO - Epoch(train) [161][3020/3757] lr: 3.0154e-04 eta: 8:20:40 time: 0.4216 data_time: 0.0208 memory: 17006 grad_norm: 11.9523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/07/30 10:17:06 - mmengine - INFO - Epoch(train) [161][3040/3757] lr: 3.0154e-04 eta: 8:20:32 time: 0.4269 data_time: 0.0214 memory: 17006 grad_norm: 11.7031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0391 loss: 1.0391 2022/07/30 10:17:14 - mmengine - INFO - Epoch(train) [161][3060/3757] lr: 3.0154e-04 eta: 8:20:24 time: 0.4084 data_time: 0.0187 memory: 17006 grad_norm: 11.9120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1124 loss: 1.1124 2022/07/30 10:17:22 - mmengine - INFO - Epoch(train) [161][3080/3757] lr: 3.0154e-04 eta: 8:20:15 time: 0.4113 data_time: 0.0214 memory: 17006 grad_norm: 12.1776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0358 loss: 1.0358 2022/07/30 10:17:31 - mmengine - INFO - Epoch(train) [161][3100/3757] lr: 3.0154e-04 eta: 8:20:07 time: 0.4282 data_time: 0.0199 memory: 17006 grad_norm: 11.5109 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3970 loss: 1.3970 2022/07/30 10:17:39 - mmengine - INFO - Epoch(train) [161][3120/3757] lr: 3.0154e-04 eta: 8:19:59 time: 0.4075 data_time: 0.0218 memory: 17006 grad_norm: 11.4845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2560 loss: 1.2560 2022/07/30 10:17:48 - mmengine - INFO - Epoch(train) [161][3140/3757] lr: 3.0154e-04 eta: 8:19:50 time: 0.4344 data_time: 0.0202 memory: 17006 grad_norm: 11.9211 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0004 loss: 1.0004 2022/07/30 10:17:56 - mmengine - INFO - Epoch(train) [161][3160/3757] lr: 3.0154e-04 eta: 8:19:42 time: 0.4059 data_time: 0.0216 memory: 17006 grad_norm: 11.6983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1511 loss: 1.1511 2022/07/30 10:18:04 - mmengine - INFO - Epoch(train) [161][3180/3757] lr: 3.0154e-04 eta: 8:19:34 time: 0.4051 data_time: 0.0192 memory: 17006 grad_norm: 11.8651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0269 loss: 1.0269 2022/07/30 10:18:13 - mmengine - INFO - Epoch(train) [161][3200/3757] lr: 3.0154e-04 eta: 8:19:25 time: 0.4345 data_time: 0.0226 memory: 17006 grad_norm: 12.0977 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/07/30 10:18:21 - mmengine - INFO - Epoch(train) [161][3220/3757] lr: 3.0154e-04 eta: 8:19:17 time: 0.4055 data_time: 0.0191 memory: 17006 grad_norm: 11.3877 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0760 loss: 1.0760 2022/07/30 10:18:29 - mmengine - INFO - Epoch(train) [161][3240/3757] lr: 3.0154e-04 eta: 8:19:09 time: 0.4303 data_time: 0.0235 memory: 17006 grad_norm: 12.8658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0596 loss: 1.0596 2022/07/30 10:18:38 - mmengine - INFO - Epoch(train) [161][3260/3757] lr: 3.0154e-04 eta: 8:19:00 time: 0.4058 data_time: 0.0188 memory: 17006 grad_norm: 11.5739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1867 loss: 1.1867 2022/07/30 10:18:46 - mmengine - INFO - Epoch(train) [161][3280/3757] lr: 3.0154e-04 eta: 8:18:52 time: 0.4189 data_time: 0.0237 memory: 17006 grad_norm: 12.2150 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2582 loss: 1.2582 2022/07/30 10:18:54 - mmengine - INFO - Epoch(train) [161][3300/3757] lr: 3.0154e-04 eta: 8:18:44 time: 0.4064 data_time: 0.0189 memory: 17006 grad_norm: 11.8656 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0739 loss: 1.0739 2022/07/30 10:19:02 - mmengine - INFO - Epoch(train) [161][3320/3757] lr: 3.0154e-04 eta: 8:18:35 time: 0.4143 data_time: 0.0238 memory: 17006 grad_norm: 11.8963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2580 loss: 1.2580 2022/07/30 10:19:12 - mmengine - INFO - Epoch(train) [161][3340/3757] lr: 3.0154e-04 eta: 8:18:27 time: 0.4522 data_time: 0.0198 memory: 17006 grad_norm: 12.0578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2639 loss: 1.2639 2022/07/30 10:19:20 - mmengine - INFO - Epoch(train) [161][3360/3757] lr: 3.0154e-04 eta: 8:18:19 time: 0.4075 data_time: 0.0220 memory: 17006 grad_norm: 12.3873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2190 loss: 1.2190 2022/07/30 10:19:28 - mmengine - INFO - Epoch(train) [161][3380/3757] lr: 3.0154e-04 eta: 8:18:11 time: 0.4269 data_time: 0.0206 memory: 17006 grad_norm: 11.6095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9693 loss: 0.9693 2022/07/30 10:19:36 - mmengine - INFO - Epoch(train) [161][3400/3757] lr: 3.0154e-04 eta: 8:18:02 time: 0.4068 data_time: 0.0219 memory: 17006 grad_norm: 12.1834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2819 loss: 1.2819 2022/07/30 10:19:45 - mmengine - INFO - Epoch(train) [161][3420/3757] lr: 3.0154e-04 eta: 8:17:54 time: 0.4348 data_time: 0.0192 memory: 17006 grad_norm: 12.4183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0326 loss: 1.0326 2022/07/30 10:19:53 - mmengine - INFO - Epoch(train) [161][3440/3757] lr: 3.0154e-04 eta: 8:17:46 time: 0.4110 data_time: 0.0206 memory: 17006 grad_norm: 11.9763 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2881 loss: 1.2881 2022/07/30 10:20:02 - mmengine - INFO - Epoch(train) [161][3460/3757] lr: 3.0154e-04 eta: 8:17:37 time: 0.4059 data_time: 0.0200 memory: 17006 grad_norm: 11.8388 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0803 loss: 1.0803 2022/07/30 10:20:10 - mmengine - INFO - Epoch(train) [161][3480/3757] lr: 3.0154e-04 eta: 8:17:29 time: 0.4339 data_time: 0.0278 memory: 17006 grad_norm: 12.1064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1854 loss: 1.1854 2022/07/30 10:20:18 - mmengine - INFO - Epoch(train) [161][3500/3757] lr: 3.0154e-04 eta: 8:17:21 time: 0.4065 data_time: 0.0196 memory: 17006 grad_norm: 11.4606 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1072 loss: 1.1072 2022/07/30 10:20:27 - mmengine - INFO - Epoch(train) [161][3520/3757] lr: 3.0154e-04 eta: 8:17:12 time: 0.4358 data_time: 0.0218 memory: 17006 grad_norm: 11.5810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2109 loss: 1.2109 2022/07/30 10:20:35 - mmengine - INFO - Epoch(train) [161][3540/3757] lr: 3.0154e-04 eta: 8:17:04 time: 0.4087 data_time: 0.0188 memory: 17006 grad_norm: 12.2949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1617 loss: 1.1617 2022/07/30 10:20:44 - mmengine - INFO - Epoch(train) [161][3560/3757] lr: 3.0154e-04 eta: 8:16:56 time: 0.4051 data_time: 0.0207 memory: 17006 grad_norm: 11.4041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/07/30 10:20:52 - mmengine - INFO - Epoch(train) [161][3580/3757] lr: 3.0154e-04 eta: 8:16:47 time: 0.4190 data_time: 0.0195 memory: 17006 grad_norm: 12.0686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1226 loss: 1.1226 2022/07/30 10:21:00 - mmengine - INFO - Epoch(train) [161][3600/3757] lr: 3.0154e-04 eta: 8:16:39 time: 0.4106 data_time: 0.0233 memory: 17006 grad_norm: 11.5197 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9597 loss: 0.9597 2022/07/30 10:21:09 - mmengine - INFO - Epoch(train) [161][3620/3757] lr: 3.0154e-04 eta: 8:16:31 time: 0.4201 data_time: 0.0204 memory: 17006 grad_norm: 12.5219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3991 loss: 1.3991 2022/07/30 10:21:17 - mmengine - INFO - Epoch(train) [161][3640/3757] lr: 3.0154e-04 eta: 8:16:22 time: 0.4112 data_time: 0.0224 memory: 17006 grad_norm: 12.0726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1756 loss: 1.1756 2022/07/30 10:21:25 - mmengine - INFO - Epoch(train) [161][3660/3757] lr: 3.0154e-04 eta: 8:16:14 time: 0.4174 data_time: 0.0199 memory: 17006 grad_norm: 12.7691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2372 loss: 1.2372 2022/07/30 10:21:33 - mmengine - INFO - Epoch(train) [161][3680/3757] lr: 3.0154e-04 eta: 8:16:06 time: 0.4059 data_time: 0.0215 memory: 17006 grad_norm: 11.6847 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1093 loss: 1.1093 2022/07/30 10:21:42 - mmengine - INFO - Epoch(train) [161][3700/3757] lr: 3.0154e-04 eta: 8:15:57 time: 0.4078 data_time: 0.0181 memory: 17006 grad_norm: 11.7711 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0952 loss: 1.0952 2022/07/30 10:21:50 - mmengine - INFO - Epoch(train) [161][3720/3757] lr: 3.0154e-04 eta: 8:15:49 time: 0.4324 data_time: 0.0252 memory: 17006 grad_norm: 11.6105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2244 loss: 1.2244 2022/07/30 10:21:58 - mmengine - INFO - Epoch(train) [161][3740/3757] lr: 3.0154e-04 eta: 8:15:41 time: 0.4062 data_time: 0.0191 memory: 17006 grad_norm: 11.4775 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3145 loss: 1.3145 2022/07/30 10:22:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:22:05 - mmengine - INFO - Epoch(train) [161][3757/3757] lr: 3.0154e-04 eta: 8:15:41 time: 0.4033 data_time: 0.0218 memory: 17006 grad_norm: 11.7162 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.2820 loss: 1.2820 2022/07/30 10:22:05 - mmengine - INFO - Saving checkpoint at 161 epochs 2022/07/30 10:22:19 - mmengine - INFO - Epoch(train) [162][20/3757] lr: 2.7241e-04 eta: 8:15:22 time: 0.4522 data_time: 0.0661 memory: 17006 grad_norm: 11.7280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2809 loss: 1.2809 2022/07/30 10:22:27 - mmengine - INFO - Epoch(train) [162][40/3757] lr: 2.7241e-04 eta: 8:15:14 time: 0.4376 data_time: 0.0225 memory: 17006 grad_norm: 12.1297 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0571 loss: 1.0571 2022/07/30 10:22:36 - mmengine - INFO - Epoch(train) [162][60/3757] lr: 2.7241e-04 eta: 8:15:06 time: 0.4111 data_time: 0.0220 memory: 17006 grad_norm: 11.4172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/07/30 10:22:44 - mmengine - INFO - Epoch(train) [162][80/3757] lr: 2.7241e-04 eta: 8:14:57 time: 0.4059 data_time: 0.0206 memory: 17006 grad_norm: 12.1786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2780 loss: 1.2780 2022/07/30 10:22:52 - mmengine - INFO - Epoch(train) [162][100/3757] lr: 2.7241e-04 eta: 8:14:49 time: 0.4221 data_time: 0.0228 memory: 17006 grad_norm: 12.3429 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3699 loss: 1.3699 2022/07/30 10:23:00 - mmengine - INFO - Epoch(train) [162][120/3757] lr: 2.7241e-04 eta: 8:14:41 time: 0.4110 data_time: 0.0212 memory: 17006 grad_norm: 12.1491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1113 loss: 1.1113 2022/07/30 10:23:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:23:09 - mmengine - INFO - Epoch(train) [162][140/3757] lr: 2.7241e-04 eta: 8:14:33 time: 0.4299 data_time: 0.0230 memory: 17006 grad_norm: 11.8232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5700 loss: 1.5700 2022/07/30 10:23:17 - mmengine - INFO - Epoch(train) [162][160/3757] lr: 2.7241e-04 eta: 8:14:24 time: 0.4072 data_time: 0.0216 memory: 17006 grad_norm: 11.3992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2044 loss: 1.2044 2022/07/30 10:23:26 - mmengine - INFO - Epoch(train) [162][180/3757] lr: 2.7241e-04 eta: 8:14:16 time: 0.4297 data_time: 0.0231 memory: 17006 grad_norm: 12.3816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4430 loss: 1.4430 2022/07/30 10:23:34 - mmengine - INFO - Epoch(train) [162][200/3757] lr: 2.7241e-04 eta: 8:14:08 time: 0.4060 data_time: 0.0219 memory: 17006 grad_norm: 11.8859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2398 loss: 1.2398 2022/07/30 10:23:42 - mmengine - INFO - Epoch(train) [162][220/3757] lr: 2.7241e-04 eta: 8:13:59 time: 0.4049 data_time: 0.0206 memory: 17006 grad_norm: 12.0146 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2919 loss: 1.2919 2022/07/30 10:23:51 - mmengine - INFO - Epoch(train) [162][240/3757] lr: 2.7241e-04 eta: 8:13:51 time: 0.4214 data_time: 0.0235 memory: 17006 grad_norm: 11.8703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1985 loss: 1.1985 2022/07/30 10:23:59 - mmengine - INFO - Epoch(train) [162][260/3757] lr: 2.7241e-04 eta: 8:13:42 time: 0.4073 data_time: 0.0208 memory: 17006 grad_norm: 11.7362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3594 loss: 1.3594 2022/07/30 10:24:08 - mmengine - INFO - Epoch(train) [162][280/3757] lr: 2.7241e-04 eta: 8:13:34 time: 0.4364 data_time: 0.0228 memory: 17006 grad_norm: 11.5605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/07/30 10:24:16 - mmengine - INFO - Epoch(train) [162][300/3757] lr: 2.7241e-04 eta: 8:13:26 time: 0.4100 data_time: 0.0210 memory: 17006 grad_norm: 11.7657 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2787 loss: 1.2787 2022/07/30 10:24:24 - mmengine - INFO - Epoch(train) [162][320/3757] lr: 2.7241e-04 eta: 8:13:17 time: 0.4056 data_time: 0.0207 memory: 17006 grad_norm: 12.3376 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1062 loss: 1.1062 2022/07/30 10:24:33 - mmengine - INFO - Epoch(train) [162][340/3757] lr: 2.7241e-04 eta: 8:13:09 time: 0.4442 data_time: 0.0232 memory: 17006 grad_norm: 12.1062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0846 loss: 1.0846 2022/07/30 10:24:41 - mmengine - INFO - Epoch(train) [162][360/3757] lr: 2.7241e-04 eta: 8:13:01 time: 0.4082 data_time: 0.0204 memory: 17006 grad_norm: 12.0383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0870 loss: 1.0870 2022/07/30 10:24:50 - mmengine - INFO - Epoch(train) [162][380/3757] lr: 2.7241e-04 eta: 8:12:53 time: 0.4269 data_time: 0.0232 memory: 17006 grad_norm: 11.6842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8538 loss: 0.8538 2022/07/30 10:24:58 - mmengine - INFO - Epoch(train) [162][400/3757] lr: 2.7241e-04 eta: 8:12:44 time: 0.4063 data_time: 0.0208 memory: 17006 grad_norm: 11.5696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/07/30 10:25:07 - mmengine - INFO - Epoch(train) [162][420/3757] lr: 2.7241e-04 eta: 8:12:36 time: 0.4501 data_time: 0.0229 memory: 17006 grad_norm: 11.8691 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2949 loss: 1.2949 2022/07/30 10:25:15 - mmengine - INFO - Epoch(train) [162][440/3757] lr: 2.7241e-04 eta: 8:12:28 time: 0.4063 data_time: 0.0213 memory: 17006 grad_norm: 12.2665 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1279 loss: 1.1279 2022/07/30 10:25:23 - mmengine - INFO - Epoch(train) [162][460/3757] lr: 2.7241e-04 eta: 8:12:19 time: 0.4074 data_time: 0.0201 memory: 17006 grad_norm: 12.1205 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9621 loss: 0.9621 2022/07/30 10:25:31 - mmengine - INFO - Epoch(train) [162][480/3757] lr: 2.7241e-04 eta: 8:12:11 time: 0.4156 data_time: 0.0228 memory: 17006 grad_norm: 12.2319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2388 loss: 1.2388 2022/07/30 10:25:40 - mmengine - INFO - Epoch(train) [162][500/3757] lr: 2.7241e-04 eta: 8:12:03 time: 0.4066 data_time: 0.0212 memory: 17006 grad_norm: 12.0825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2123 loss: 1.2123 2022/07/30 10:25:49 - mmengine - INFO - Epoch(train) [162][520/3757] lr: 2.7241e-04 eta: 8:11:55 time: 0.4622 data_time: 0.0242 memory: 17006 grad_norm: 12.4145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1232 loss: 1.1232 2022/07/30 10:25:57 - mmengine - INFO - Epoch(train) [162][540/3757] lr: 2.7241e-04 eta: 8:11:46 time: 0.4079 data_time: 0.0216 memory: 17006 grad_norm: 12.6351 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0452 loss: 1.0452 2022/07/30 10:26:06 - mmengine - INFO - Epoch(train) [162][560/3757] lr: 2.7241e-04 eta: 8:11:38 time: 0.4305 data_time: 0.0195 memory: 17006 grad_norm: 12.1197 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1726 loss: 1.1726 2022/07/30 10:26:14 - mmengine - INFO - Epoch(train) [162][580/3757] lr: 2.7241e-04 eta: 8:11:30 time: 0.4085 data_time: 0.0196 memory: 17006 grad_norm: 11.8961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2036 loss: 1.2036 2022/07/30 10:26:22 - mmengine - INFO - Epoch(train) [162][600/3757] lr: 2.7241e-04 eta: 8:11:21 time: 0.4057 data_time: 0.0215 memory: 17006 grad_norm: 11.5891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0592 loss: 1.0592 2022/07/30 10:26:31 - mmengine - INFO - Epoch(train) [162][620/3757] lr: 2.7241e-04 eta: 8:11:13 time: 0.4594 data_time: 0.0307 memory: 17006 grad_norm: 12.1183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/07/30 10:26:39 - mmengine - INFO - Epoch(train) [162][640/3757] lr: 2.7241e-04 eta: 8:11:05 time: 0.4074 data_time: 0.0214 memory: 17006 grad_norm: 12.0418 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1250 loss: 1.1250 2022/07/30 10:26:48 - mmengine - INFO - Epoch(train) [162][660/3757] lr: 2.7241e-04 eta: 8:10:57 time: 0.4269 data_time: 0.0226 memory: 17006 grad_norm: 11.7909 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9373 loss: 0.9373 2022/07/30 10:26:57 - mmengine - INFO - Epoch(train) [162][680/3757] lr: 2.7241e-04 eta: 8:10:48 time: 0.4224 data_time: 0.0220 memory: 17006 grad_norm: 11.6972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3183 loss: 1.3183 2022/07/30 10:27:05 - mmengine - INFO - Epoch(train) [162][700/3757] lr: 2.7241e-04 eta: 8:10:40 time: 0.4059 data_time: 0.0214 memory: 17006 grad_norm: 12.4102 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3045 loss: 1.3045 2022/07/30 10:27:13 - mmengine - INFO - Epoch(train) [162][720/3757] lr: 2.7241e-04 eta: 8:10:32 time: 0.4317 data_time: 0.0236 memory: 17006 grad_norm: 11.9833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1266 loss: 1.1266 2022/07/30 10:27:22 - mmengine - INFO - Epoch(train) [162][740/3757] lr: 2.7241e-04 eta: 8:10:23 time: 0.4088 data_time: 0.0214 memory: 17006 grad_norm: 12.1707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1817 loss: 1.1817 2022/07/30 10:27:30 - mmengine - INFO - Epoch(train) [162][760/3757] lr: 2.7241e-04 eta: 8:10:15 time: 0.4121 data_time: 0.0227 memory: 17006 grad_norm: 11.7237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2015 loss: 1.2015 2022/07/30 10:27:38 - mmengine - INFO - Epoch(train) [162][780/3757] lr: 2.7241e-04 eta: 8:10:07 time: 0.4175 data_time: 0.0206 memory: 17006 grad_norm: 11.6450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2438 loss: 1.2438 2022/07/30 10:27:47 - mmengine - INFO - Epoch(train) [162][800/3757] lr: 2.7241e-04 eta: 8:09:58 time: 0.4313 data_time: 0.0233 memory: 17006 grad_norm: 12.1428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9593 loss: 0.9593 2022/07/30 10:27:55 - mmengine - INFO - Epoch(train) [162][820/3757] lr: 2.7241e-04 eta: 8:09:50 time: 0.4065 data_time: 0.0213 memory: 17006 grad_norm: 12.5415 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1674 loss: 1.1674 2022/07/30 10:28:03 - mmengine - INFO - Epoch(train) [162][840/3757] lr: 2.7241e-04 eta: 8:09:42 time: 0.4070 data_time: 0.0205 memory: 17006 grad_norm: 11.1187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9453 loss: 0.9453 2022/07/30 10:28:11 - mmengine - INFO - Epoch(train) [162][860/3757] lr: 2.7241e-04 eta: 8:09:33 time: 0.4142 data_time: 0.0222 memory: 17006 grad_norm: 12.8672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1416 loss: 1.1416 2022/07/30 10:28:20 - mmengine - INFO - Epoch(train) [162][880/3757] lr: 2.7241e-04 eta: 8:09:25 time: 0.4078 data_time: 0.0206 memory: 17006 grad_norm: 11.6429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9592 loss: 0.9592 2022/07/30 10:28:29 - mmengine - INFO - Epoch(train) [162][900/3757] lr: 2.7241e-04 eta: 8:09:17 time: 0.4411 data_time: 0.0195 memory: 17006 grad_norm: 12.1859 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2396 loss: 1.2396 2022/07/30 10:28:37 - mmengine - INFO - Epoch(train) [162][920/3757] lr: 2.7241e-04 eta: 8:09:08 time: 0.4062 data_time: 0.0207 memory: 17006 grad_norm: 11.4340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0794 loss: 1.0794 2022/07/30 10:28:45 - mmengine - INFO - Epoch(train) [162][940/3757] lr: 2.7241e-04 eta: 8:09:00 time: 0.4057 data_time: 0.0206 memory: 17006 grad_norm: 11.9961 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2482 loss: 1.2482 2022/07/30 10:28:53 - mmengine - INFO - Epoch(train) [162][960/3757] lr: 2.7241e-04 eta: 8:08:52 time: 0.4117 data_time: 0.0230 memory: 17006 grad_norm: 11.4317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/07/30 10:29:01 - mmengine - INFO - Epoch(train) [162][980/3757] lr: 2.7241e-04 eta: 8:08:43 time: 0.4127 data_time: 0.0218 memory: 17006 grad_norm: 11.6115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2082 loss: 1.2082 2022/07/30 10:29:10 - mmengine - INFO - Epoch(train) [162][1000/3757] lr: 2.7241e-04 eta: 8:08:35 time: 0.4263 data_time: 0.0237 memory: 17006 grad_norm: 12.0953 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2737 loss: 1.2737 2022/07/30 10:29:18 - mmengine - INFO - Epoch(train) [162][1020/3757] lr: 2.7241e-04 eta: 8:08:27 time: 0.4069 data_time: 0.0225 memory: 17006 grad_norm: 11.4540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0856 loss: 1.0856 2022/07/30 10:29:27 - mmengine - INFO - Epoch(train) [162][1040/3757] lr: 2.7241e-04 eta: 8:08:18 time: 0.4344 data_time: 0.0241 memory: 17006 grad_norm: 12.1176 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/07/30 10:29:35 - mmengine - INFO - Epoch(train) [162][1060/3757] lr: 2.7241e-04 eta: 8:08:10 time: 0.4057 data_time: 0.0200 memory: 17006 grad_norm: 12.3147 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2014 loss: 1.2014 2022/07/30 10:29:43 - mmengine - INFO - Epoch(train) [162][1080/3757] lr: 2.7241e-04 eta: 8:08:02 time: 0.4254 data_time: 0.0208 memory: 17006 grad_norm: 12.1931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4143 loss: 1.4143 2022/07/30 10:29:52 - mmengine - INFO - Epoch(train) [162][1100/3757] lr: 2.7241e-04 eta: 8:07:54 time: 0.4403 data_time: 0.0236 memory: 17006 grad_norm: 11.7758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0203 loss: 1.0203 2022/07/30 10:30:00 - mmengine - INFO - Epoch(train) [162][1120/3757] lr: 2.7241e-04 eta: 8:07:45 time: 0.4066 data_time: 0.0206 memory: 17006 grad_norm: 12.0214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2767 loss: 1.2767 2022/07/30 10:30:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:30:09 - mmengine - INFO - Epoch(train) [162][1140/3757] lr: 2.7241e-04 eta: 8:07:37 time: 0.4291 data_time: 0.0218 memory: 17006 grad_norm: 11.8741 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2480 loss: 1.2480 2022/07/30 10:30:17 - mmengine - INFO - Epoch(train) [162][1160/3757] lr: 2.7241e-04 eta: 8:07:29 time: 0.4070 data_time: 0.0212 memory: 17006 grad_norm: 11.6626 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4489 loss: 1.4489 2022/07/30 10:30:26 - mmengine - INFO - Epoch(train) [162][1180/3757] lr: 2.7241e-04 eta: 8:07:20 time: 0.4143 data_time: 0.0200 memory: 17006 grad_norm: 11.7501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9750 loss: 0.9750 2022/07/30 10:30:35 - mmengine - INFO - Epoch(train) [162][1200/3757] lr: 2.7241e-04 eta: 8:07:12 time: 0.4440 data_time: 0.0213 memory: 17006 grad_norm: 11.7656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1022 loss: 1.1022 2022/07/30 10:30:43 - mmengine - INFO - Epoch(train) [162][1220/3757] lr: 2.7241e-04 eta: 8:07:04 time: 0.4073 data_time: 0.0209 memory: 17006 grad_norm: 11.6347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/07/30 10:30:52 - mmengine - INFO - Epoch(train) [162][1240/3757] lr: 2.7241e-04 eta: 8:06:56 time: 0.4871 data_time: 0.0246 memory: 17006 grad_norm: 11.6006 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1510 loss: 1.1510 2022/07/30 10:31:01 - mmengine - INFO - Epoch(train) [162][1260/3757] lr: 2.7241e-04 eta: 8:06:48 time: 0.4071 data_time: 0.0213 memory: 17006 grad_norm: 11.7223 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9221 loss: 0.9221 2022/07/30 10:31:09 - mmengine - INFO - Epoch(train) [162][1280/3757] lr: 2.7241e-04 eta: 8:06:39 time: 0.4338 data_time: 0.0226 memory: 17006 grad_norm: 12.1391 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0313 loss: 1.0313 2022/07/30 10:31:17 - mmengine - INFO - Epoch(train) [162][1300/3757] lr: 2.7241e-04 eta: 8:06:31 time: 0.4067 data_time: 0.0212 memory: 17006 grad_norm: 12.9293 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1874 loss: 1.1874 2022/07/30 10:31:26 - mmengine - INFO - Epoch(train) [162][1320/3757] lr: 2.7241e-04 eta: 8:06:23 time: 0.4187 data_time: 0.0204 memory: 17006 grad_norm: 12.0263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3437 loss: 1.3437 2022/07/30 10:31:34 - mmengine - INFO - Epoch(train) [162][1340/3757] lr: 2.7241e-04 eta: 8:06:14 time: 0.4136 data_time: 0.0203 memory: 17006 grad_norm: 11.5930 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0745 loss: 1.0745 2022/07/30 10:31:43 - mmengine - INFO - Epoch(train) [162][1360/3757] lr: 2.7241e-04 eta: 8:06:06 time: 0.4156 data_time: 0.0238 memory: 17006 grad_norm: 11.1532 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2298 loss: 1.2298 2022/07/30 10:31:51 - mmengine - INFO - Epoch(train) [162][1380/3757] lr: 2.7241e-04 eta: 8:05:58 time: 0.4112 data_time: 0.0210 memory: 17006 grad_norm: 11.9103 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0426 loss: 1.0426 2022/07/30 10:31:59 - mmengine - INFO - Epoch(train) [162][1400/3757] lr: 2.7241e-04 eta: 8:05:49 time: 0.4084 data_time: 0.0229 memory: 17006 grad_norm: 11.9761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1952 loss: 1.1952 2022/07/30 10:32:07 - mmengine - INFO - Epoch(train) [162][1420/3757] lr: 2.7241e-04 eta: 8:05:41 time: 0.4235 data_time: 0.0210 memory: 17006 grad_norm: 11.8220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1486 loss: 1.1486 2022/07/30 10:32:16 - mmengine - INFO - Epoch(train) [162][1440/3757] lr: 2.7241e-04 eta: 8:05:32 time: 0.4092 data_time: 0.0208 memory: 17006 grad_norm: 12.3499 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1814 loss: 1.1814 2022/07/30 10:32:24 - mmengine - INFO - Epoch(train) [162][1460/3757] lr: 2.7241e-04 eta: 8:05:24 time: 0.4102 data_time: 0.0201 memory: 17006 grad_norm: 12.1583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/07/30 10:32:33 - mmengine - INFO - Epoch(train) [162][1480/3757] lr: 2.7241e-04 eta: 8:05:16 time: 0.4504 data_time: 0.0210 memory: 17006 grad_norm: 12.4635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2018 loss: 1.2018 2022/07/30 10:32:41 - mmengine - INFO - Epoch(train) [162][1500/3757] lr: 2.7241e-04 eta: 8:05:08 time: 0.4193 data_time: 0.0221 memory: 17006 grad_norm: 12.7772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1918 loss: 1.1918 2022/07/30 10:32:50 - mmengine - INFO - Epoch(train) [162][1520/3757] lr: 2.7241e-04 eta: 8:04:59 time: 0.4074 data_time: 0.0208 memory: 17006 grad_norm: 11.9720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0157 loss: 1.0157 2022/07/30 10:32:58 - mmengine - INFO - Epoch(train) [162][1540/3757] lr: 2.7241e-04 eta: 8:04:51 time: 0.4199 data_time: 0.0228 memory: 17006 grad_norm: 12.4161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1629 loss: 1.1629 2022/07/30 10:33:07 - mmengine - INFO - Epoch(train) [162][1560/3757] lr: 2.7241e-04 eta: 8:04:43 time: 0.4298 data_time: 0.0204 memory: 17006 grad_norm: 12.1578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3485 loss: 1.3485 2022/07/30 10:33:15 - mmengine - INFO - Epoch(train) [162][1580/3757] lr: 2.7241e-04 eta: 8:04:34 time: 0.4103 data_time: 0.0223 memory: 17006 grad_norm: 12.1582 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2757 loss: 1.2757 2022/07/30 10:33:23 - mmengine - INFO - Epoch(train) [162][1600/3757] lr: 2.7241e-04 eta: 8:04:26 time: 0.4060 data_time: 0.0206 memory: 17006 grad_norm: 11.6323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9433 loss: 0.9433 2022/07/30 10:33:32 - mmengine - INFO - Epoch(train) [162][1620/3757] lr: 2.7241e-04 eta: 8:04:18 time: 0.4582 data_time: 0.0232 memory: 17006 grad_norm: 11.7402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9996 loss: 0.9996 2022/07/30 10:33:40 - mmengine - INFO - Epoch(train) [162][1640/3757] lr: 2.7241e-04 eta: 8:04:10 time: 0.4120 data_time: 0.0230 memory: 17006 grad_norm: 12.5482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2078 loss: 1.2078 2022/07/30 10:33:49 - mmengine - INFO - Epoch(train) [162][1660/3757] lr: 2.7241e-04 eta: 8:04:01 time: 0.4062 data_time: 0.0198 memory: 17006 grad_norm: 11.7757 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3325 loss: 1.3325 2022/07/30 10:33:58 - mmengine - INFO - Epoch(train) [162][1680/3757] lr: 2.7241e-04 eta: 8:03:53 time: 0.4523 data_time: 0.0239 memory: 17006 grad_norm: 12.4542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5169 loss: 1.5169 2022/07/30 10:34:06 - mmengine - INFO - Epoch(train) [162][1700/3757] lr: 2.7241e-04 eta: 8:03:45 time: 0.4057 data_time: 0.0205 memory: 17006 grad_norm: 12.0671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/07/30 10:34:14 - mmengine - INFO - Epoch(train) [162][1720/3757] lr: 2.7241e-04 eta: 8:03:36 time: 0.4094 data_time: 0.0236 memory: 17006 grad_norm: 11.8425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2068 loss: 1.2068 2022/07/30 10:34:23 - mmengine - INFO - Epoch(train) [162][1740/3757] lr: 2.7241e-04 eta: 8:03:28 time: 0.4505 data_time: 0.0208 memory: 17006 grad_norm: 11.1435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1720 loss: 1.1720 2022/07/30 10:34:31 - mmengine - INFO - Epoch(train) [162][1760/3757] lr: 2.7241e-04 eta: 8:03:20 time: 0.4066 data_time: 0.0209 memory: 17006 grad_norm: 11.7144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1975 loss: 1.1975 2022/07/30 10:34:40 - mmengine - INFO - Epoch(train) [162][1780/3757] lr: 2.7241e-04 eta: 8:03:12 time: 0.4225 data_time: 0.0217 memory: 17006 grad_norm: 12.3116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1871 loss: 1.1871 2022/07/30 10:34:48 - mmengine - INFO - Epoch(train) [162][1800/3757] lr: 2.7241e-04 eta: 8:03:03 time: 0.4064 data_time: 0.0212 memory: 17006 grad_norm: 11.5686 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0769 loss: 1.0769 2022/07/30 10:34:57 - mmengine - INFO - Epoch(train) [162][1820/3757] lr: 2.7241e-04 eta: 8:02:55 time: 0.4434 data_time: 0.0198 memory: 17006 grad_norm: 11.9964 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2785 loss: 1.2785 2022/07/30 10:35:05 - mmengine - INFO - Epoch(train) [162][1840/3757] lr: 2.7241e-04 eta: 8:02:47 time: 0.4102 data_time: 0.0197 memory: 17006 grad_norm: 11.6522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1097 loss: 1.1097 2022/07/30 10:35:13 - mmengine - INFO - Epoch(train) [162][1860/3757] lr: 2.7241e-04 eta: 8:02:38 time: 0.4054 data_time: 0.0198 memory: 17006 grad_norm: 11.8482 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1821 loss: 1.1821 2022/07/30 10:35:22 - mmengine - INFO - Epoch(train) [162][1880/3757] lr: 2.7241e-04 eta: 8:02:30 time: 0.4234 data_time: 0.0223 memory: 17006 grad_norm: 12.0569 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0172 loss: 1.0172 2022/07/30 10:35:30 - mmengine - INFO - Epoch(train) [162][1900/3757] lr: 2.7241e-04 eta: 8:02:22 time: 0.4067 data_time: 0.0210 memory: 17006 grad_norm: 12.2036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4722 loss: 1.4722 2022/07/30 10:35:39 - mmengine - INFO - Epoch(train) [162][1920/3757] lr: 2.7241e-04 eta: 8:02:13 time: 0.4337 data_time: 0.0231 memory: 17006 grad_norm: 12.2753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2839 loss: 1.2839 2022/07/30 10:35:47 - mmengine - INFO - Epoch(train) [162][1940/3757] lr: 2.7241e-04 eta: 8:02:05 time: 0.4076 data_time: 0.0211 memory: 17006 grad_norm: 11.8386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9967 loss: 0.9967 2022/07/30 10:35:55 - mmengine - INFO - Epoch(train) [162][1960/3757] lr: 2.7241e-04 eta: 8:01:57 time: 0.4074 data_time: 0.0205 memory: 17006 grad_norm: 11.4306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9301 loss: 0.9301 2022/07/30 10:36:04 - mmengine - INFO - Epoch(train) [162][1980/3757] lr: 2.7241e-04 eta: 8:01:48 time: 0.4343 data_time: 0.0233 memory: 17006 grad_norm: 12.2029 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3463 loss: 1.3463 2022/07/30 10:36:12 - mmengine - INFO - Epoch(train) [162][2000/3757] lr: 2.7241e-04 eta: 8:01:40 time: 0.4068 data_time: 0.0208 memory: 17006 grad_norm: 12.2431 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2737 loss: 1.2737 2022/07/30 10:36:20 - mmengine - INFO - Epoch(train) [162][2020/3757] lr: 2.7241e-04 eta: 8:01:32 time: 0.4256 data_time: 0.0260 memory: 17006 grad_norm: 11.6044 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9146 loss: 0.9146 2022/07/30 10:36:28 - mmengine - INFO - Epoch(train) [162][2040/3757] lr: 2.7241e-04 eta: 8:01:23 time: 0.4058 data_time: 0.0202 memory: 17006 grad_norm: 11.3922 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1810 loss: 1.1810 2022/07/30 10:36:37 - mmengine - INFO - Epoch(train) [162][2060/3757] lr: 2.7241e-04 eta: 8:01:15 time: 0.4181 data_time: 0.0232 memory: 17006 grad_norm: 12.4248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0603 loss: 1.0603 2022/07/30 10:36:45 - mmengine - INFO - Epoch(train) [162][2080/3757] lr: 2.7241e-04 eta: 8:01:07 time: 0.4054 data_time: 0.0210 memory: 17006 grad_norm: 12.1988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3584 loss: 1.3584 2022/07/30 10:36:53 - mmengine - INFO - Epoch(train) [162][2100/3757] lr: 2.7241e-04 eta: 8:00:58 time: 0.4075 data_time: 0.0207 memory: 17006 grad_norm: 11.8418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2310 loss: 1.2310 2022/07/30 10:37:02 - mmengine - INFO - Epoch(train) [162][2120/3757] lr: 2.7241e-04 eta: 8:00:50 time: 0.4168 data_time: 0.0227 memory: 17006 grad_norm: 11.9140 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0978 loss: 1.0978 2022/07/30 10:37:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:37:10 - mmengine - INFO - Epoch(train) [162][2140/3757] lr: 2.7241e-04 eta: 8:00:41 time: 0.4090 data_time: 0.0216 memory: 17006 grad_norm: 11.7938 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1027 loss: 1.1027 2022/07/30 10:37:18 - mmengine - INFO - Epoch(train) [162][2160/3757] lr: 2.7241e-04 eta: 8:00:33 time: 0.4195 data_time: 0.0221 memory: 17006 grad_norm: 11.8707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0716 loss: 1.0716 2022/07/30 10:37:26 - mmengine - INFO - Epoch(train) [162][2180/3757] lr: 2.7241e-04 eta: 8:00:25 time: 0.4125 data_time: 0.0213 memory: 17006 grad_norm: 11.5613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0555 loss: 1.0555 2022/07/30 10:37:35 - mmengine - INFO - Epoch(train) [162][2200/3757] lr: 2.7241e-04 eta: 8:00:16 time: 0.4056 data_time: 0.0202 memory: 17006 grad_norm: 12.2939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9515 loss: 0.9515 2022/07/30 10:37:43 - mmengine - INFO - Epoch(train) [162][2220/3757] lr: 2.7241e-04 eta: 8:00:08 time: 0.4383 data_time: 0.0232 memory: 17006 grad_norm: 12.0934 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9290 loss: 0.9290 2022/07/30 10:37:52 - mmengine - INFO - Epoch(train) [162][2240/3757] lr: 2.7241e-04 eta: 8:00:00 time: 0.4130 data_time: 0.0213 memory: 17006 grad_norm: 12.5440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0533 loss: 1.0533 2022/07/30 10:38:00 - mmengine - INFO - Epoch(train) [162][2260/3757] lr: 2.7241e-04 eta: 7:59:52 time: 0.4195 data_time: 0.0227 memory: 17006 grad_norm: 12.4532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2145 loss: 1.2145 2022/07/30 10:38:08 - mmengine - INFO - Epoch(train) [162][2280/3757] lr: 2.7241e-04 eta: 7:59:43 time: 0.4078 data_time: 0.0207 memory: 17006 grad_norm: 11.1136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9716 loss: 0.9716 2022/07/30 10:38:17 - mmengine - INFO - Epoch(train) [162][2300/3757] lr: 2.7241e-04 eta: 7:59:35 time: 0.4230 data_time: 0.0196 memory: 17006 grad_norm: 12.1557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/07/30 10:38:25 - mmengine - INFO - Epoch(train) [162][2320/3757] lr: 2.7241e-04 eta: 7:59:27 time: 0.4133 data_time: 0.0209 memory: 17006 grad_norm: 11.9814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3230 loss: 1.3230 2022/07/30 10:38:34 - mmengine - INFO - Epoch(train) [162][2340/3757] lr: 2.7241e-04 eta: 7:59:18 time: 0.4231 data_time: 0.0208 memory: 17006 grad_norm: 11.6648 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2450 loss: 1.2450 2022/07/30 10:38:42 - mmengine - INFO - Epoch(train) [162][2360/3757] lr: 2.7241e-04 eta: 7:59:10 time: 0.4189 data_time: 0.0215 memory: 17006 grad_norm: 11.9163 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2053 loss: 1.2053 2022/07/30 10:38:50 - mmengine - INFO - Epoch(train) [162][2380/3757] lr: 2.7241e-04 eta: 7:59:02 time: 0.4145 data_time: 0.0218 memory: 17006 grad_norm: 11.8917 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1457 loss: 1.1457 2022/07/30 10:38:59 - mmengine - INFO - Epoch(train) [162][2400/3757] lr: 2.7241e-04 eta: 7:58:53 time: 0.4185 data_time: 0.0215 memory: 17006 grad_norm: 11.6677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0072 loss: 1.0072 2022/07/30 10:39:07 - mmengine - INFO - Epoch(train) [162][2420/3757] lr: 2.7241e-04 eta: 7:58:45 time: 0.4269 data_time: 0.0216 memory: 17006 grad_norm: 11.8164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1035 loss: 1.1035 2022/07/30 10:39:15 - mmengine - INFO - Epoch(train) [162][2440/3757] lr: 2.7241e-04 eta: 7:58:37 time: 0.4050 data_time: 0.0198 memory: 17006 grad_norm: 12.1826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1006 loss: 1.1006 2022/07/30 10:39:24 - mmengine - INFO - Epoch(train) [162][2460/3757] lr: 2.7241e-04 eta: 7:58:28 time: 0.4192 data_time: 0.0232 memory: 17006 grad_norm: 12.0508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/07/30 10:39:33 - mmengine - INFO - Epoch(train) [162][2480/3757] lr: 2.7241e-04 eta: 7:58:20 time: 0.4380 data_time: 0.0211 memory: 17006 grad_norm: 11.7354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1839 loss: 1.1839 2022/07/30 10:39:41 - mmengine - INFO - Epoch(train) [162][2500/3757] lr: 2.7241e-04 eta: 7:58:12 time: 0.4175 data_time: 0.0219 memory: 17006 grad_norm: 11.6791 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8194 loss: 0.8194 2022/07/30 10:39:50 - mmengine - INFO - Epoch(train) [162][2520/3757] lr: 2.7241e-04 eta: 7:58:04 time: 0.4337 data_time: 0.0209 memory: 17006 grad_norm: 12.1792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/07/30 10:39:58 - mmengine - INFO - Epoch(train) [162][2540/3757] lr: 2.7241e-04 eta: 7:57:55 time: 0.4217 data_time: 0.0243 memory: 17006 grad_norm: 11.8901 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3702 loss: 1.3702 2022/07/30 10:40:06 - mmengine - INFO - Epoch(train) [162][2560/3757] lr: 2.7241e-04 eta: 7:57:47 time: 0.4067 data_time: 0.0212 memory: 17006 grad_norm: 11.8215 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0614 loss: 1.0614 2022/07/30 10:40:15 - mmengine - INFO - Epoch(train) [162][2580/3757] lr: 2.7241e-04 eta: 7:57:39 time: 0.4118 data_time: 0.0211 memory: 17006 grad_norm: 12.1022 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1672 loss: 1.1672 2022/07/30 10:40:23 - mmengine - INFO - Epoch(train) [162][2600/3757] lr: 2.7241e-04 eta: 7:57:30 time: 0.4201 data_time: 0.0226 memory: 17006 grad_norm: 11.7058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9482 loss: 0.9482 2022/07/30 10:40:32 - mmengine - INFO - Epoch(train) [162][2620/3757] lr: 2.7241e-04 eta: 7:57:22 time: 0.4265 data_time: 0.0211 memory: 17006 grad_norm: 12.1514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0521 loss: 1.0521 2022/07/30 10:40:40 - mmengine - INFO - Epoch(train) [162][2640/3757] lr: 2.7241e-04 eta: 7:57:14 time: 0.4186 data_time: 0.0247 memory: 17006 grad_norm: 11.4594 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1641 loss: 1.1641 2022/07/30 10:40:48 - mmengine - INFO - Epoch(train) [162][2660/3757] lr: 2.7241e-04 eta: 7:57:05 time: 0.4073 data_time: 0.0205 memory: 17006 grad_norm: 11.7863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1673 loss: 1.1673 2022/07/30 10:40:57 - mmengine - INFO - Epoch(train) [162][2680/3757] lr: 2.7241e-04 eta: 7:56:57 time: 0.4155 data_time: 0.0224 memory: 17006 grad_norm: 11.7129 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2345 loss: 1.2345 2022/07/30 10:41:05 - mmengine - INFO - Epoch(train) [162][2700/3757] lr: 2.7241e-04 eta: 7:56:49 time: 0.4180 data_time: 0.0205 memory: 17006 grad_norm: 12.2771 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3006 loss: 1.3006 2022/07/30 10:41:13 - mmengine - INFO - Epoch(train) [162][2720/3757] lr: 2.7241e-04 eta: 7:56:40 time: 0.4052 data_time: 0.0208 memory: 17006 grad_norm: 11.9157 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9322 loss: 0.9322 2022/07/30 10:41:21 - mmengine - INFO - Epoch(train) [162][2740/3757] lr: 2.7241e-04 eta: 7:56:32 time: 0.4212 data_time: 0.0237 memory: 17006 grad_norm: 11.8870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1836 loss: 1.1836 2022/07/30 10:41:30 - mmengine - INFO - Epoch(train) [162][2760/3757] lr: 2.7241e-04 eta: 7:56:23 time: 0.4055 data_time: 0.0204 memory: 17006 grad_norm: 11.5268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3298 loss: 1.3298 2022/07/30 10:41:39 - mmengine - INFO - Epoch(train) [162][2780/3757] lr: 2.7241e-04 eta: 7:56:15 time: 0.4439 data_time: 0.0243 memory: 17006 grad_norm: 11.7298 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1286 loss: 1.1286 2022/07/30 10:41:47 - mmengine - INFO - Epoch(train) [162][2800/3757] lr: 2.7241e-04 eta: 7:56:07 time: 0.4083 data_time: 0.0213 memory: 17006 grad_norm: 11.3978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7855 loss: 0.7855 2022/07/30 10:41:55 - mmengine - INFO - Epoch(train) [162][2820/3757] lr: 2.7241e-04 eta: 7:55:59 time: 0.4071 data_time: 0.0218 memory: 17006 grad_norm: 11.7347 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0443 loss: 1.0443 2022/07/30 10:42:04 - mmengine - INFO - Epoch(train) [162][2840/3757] lr: 2.7241e-04 eta: 7:55:51 time: 0.4616 data_time: 0.0237 memory: 17006 grad_norm: 11.9664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2240 loss: 1.2240 2022/07/30 10:42:12 - mmengine - INFO - Epoch(train) [162][2860/3757] lr: 2.7241e-04 eta: 7:55:42 time: 0.4050 data_time: 0.0200 memory: 17006 grad_norm: 11.6298 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9748 loss: 0.9748 2022/07/30 10:42:21 - mmengine - INFO - Epoch(train) [162][2880/3757] lr: 2.7241e-04 eta: 7:55:34 time: 0.4277 data_time: 0.0248 memory: 17006 grad_norm: 11.8714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2007 loss: 1.2007 2022/07/30 10:42:29 - mmengine - INFO - Epoch(train) [162][2900/3757] lr: 2.7241e-04 eta: 7:55:26 time: 0.4063 data_time: 0.0211 memory: 17006 grad_norm: 12.3535 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3331 loss: 1.3331 2022/07/30 10:42:38 - mmengine - INFO - Epoch(train) [162][2920/3757] lr: 2.7241e-04 eta: 7:55:17 time: 0.4227 data_time: 0.0227 memory: 17006 grad_norm: 11.8078 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1147 loss: 1.1147 2022/07/30 10:42:46 - mmengine - INFO - Epoch(train) [162][2940/3757] lr: 2.7241e-04 eta: 7:55:09 time: 0.4075 data_time: 0.0213 memory: 17006 grad_norm: 12.2035 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1351 loss: 1.1351 2022/07/30 10:42:54 - mmengine - INFO - Epoch(train) [162][2960/3757] lr: 2.7241e-04 eta: 7:55:00 time: 0.4066 data_time: 0.0210 memory: 17006 grad_norm: 11.9938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4167 loss: 1.4167 2022/07/30 10:43:03 - mmengine - INFO - Epoch(train) [162][2980/3757] lr: 2.7241e-04 eta: 7:54:52 time: 0.4412 data_time: 0.0219 memory: 17006 grad_norm: 11.9643 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1897 loss: 1.1897 2022/07/30 10:43:11 - mmengine - INFO - Epoch(train) [162][3000/3757] lr: 2.7241e-04 eta: 7:54:44 time: 0.4061 data_time: 0.0208 memory: 17006 grad_norm: 11.1419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0186 loss: 1.0186 2022/07/30 10:43:20 - mmengine - INFO - Epoch(train) [162][3020/3757] lr: 2.7241e-04 eta: 7:54:36 time: 0.4714 data_time: 0.0324 memory: 17006 grad_norm: 11.7045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/07/30 10:43:29 - mmengine - INFO - Epoch(train) [162][3040/3757] lr: 2.7241e-04 eta: 7:54:28 time: 0.4176 data_time: 0.0209 memory: 17006 grad_norm: 12.2134 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2014 loss: 1.2014 2022/07/30 10:43:37 - mmengine - INFO - Epoch(train) [162][3060/3757] lr: 2.7241e-04 eta: 7:54:19 time: 0.4206 data_time: 0.0206 memory: 17006 grad_norm: 11.5953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/07/30 10:43:45 - mmengine - INFO - Epoch(train) [162][3080/3757] lr: 2.7241e-04 eta: 7:54:11 time: 0.4072 data_time: 0.0191 memory: 17006 grad_norm: 11.8405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1823 loss: 1.1823 2022/07/30 10:43:54 - mmengine - INFO - Epoch(train) [162][3100/3757] lr: 2.7241e-04 eta: 7:54:03 time: 0.4070 data_time: 0.0205 memory: 17006 grad_norm: 11.6575 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1089 loss: 1.1089 2022/07/30 10:44:02 - mmengine - INFO - Epoch(train) [162][3120/3757] lr: 2.7241e-04 eta: 7:53:54 time: 0.4161 data_time: 0.0245 memory: 17006 grad_norm: 12.0711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0658 loss: 1.0658 2022/07/30 10:44:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:44:10 - mmengine - INFO - Epoch(train) [162][3140/3757] lr: 2.7241e-04 eta: 7:53:46 time: 0.4070 data_time: 0.0214 memory: 17006 grad_norm: 12.5599 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2837 loss: 1.2837 2022/07/30 10:44:19 - mmengine - INFO - Epoch(train) [162][3160/3757] lr: 2.7241e-04 eta: 7:53:38 time: 0.4507 data_time: 0.0242 memory: 17006 grad_norm: 11.9351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1161 loss: 1.1161 2022/07/30 10:44:27 - mmengine - INFO - Epoch(train) [162][3180/3757] lr: 2.7241e-04 eta: 7:53:29 time: 0.4078 data_time: 0.0216 memory: 17006 grad_norm: 11.9373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3018 loss: 1.3018 2022/07/30 10:44:36 - mmengine - INFO - Epoch(train) [162][3200/3757] lr: 2.7241e-04 eta: 7:53:21 time: 0.4075 data_time: 0.0227 memory: 17006 grad_norm: 11.8139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0207 loss: 1.0207 2022/07/30 10:44:44 - mmengine - INFO - Epoch(train) [162][3220/3757] lr: 2.7241e-04 eta: 7:53:13 time: 0.4231 data_time: 0.0214 memory: 17006 grad_norm: 12.0560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1424 loss: 1.1424 2022/07/30 10:44:52 - mmengine - INFO - Epoch(train) [162][3240/3757] lr: 2.7241e-04 eta: 7:53:04 time: 0.4114 data_time: 0.0234 memory: 17006 grad_norm: 12.1805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3689 loss: 1.3689 2022/07/30 10:45:01 - mmengine - INFO - Epoch(train) [162][3260/3757] lr: 2.7241e-04 eta: 7:52:56 time: 0.4197 data_time: 0.0240 memory: 17006 grad_norm: 11.7030 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1750 loss: 1.1750 2022/07/30 10:45:10 - mmengine - INFO - Epoch(train) [162][3280/3757] lr: 2.7241e-04 eta: 7:52:48 time: 0.4510 data_time: 0.0212 memory: 17006 grad_norm: 12.3734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2430 loss: 1.2430 2022/07/30 10:45:18 - mmengine - INFO - Epoch(train) [162][3300/3757] lr: 2.7241e-04 eta: 7:52:40 time: 0.4191 data_time: 0.0230 memory: 17006 grad_norm: 11.8301 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2707 loss: 1.2707 2022/07/30 10:45:26 - mmengine - INFO - Epoch(train) [162][3320/3757] lr: 2.7241e-04 eta: 7:52:31 time: 0.4054 data_time: 0.0207 memory: 17006 grad_norm: 11.5427 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/07/30 10:45:34 - mmengine - INFO - Epoch(train) [162][3340/3757] lr: 2.7241e-04 eta: 7:52:23 time: 0.4076 data_time: 0.0206 memory: 17006 grad_norm: 12.8199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3578 loss: 1.3578 2022/07/30 10:45:43 - mmengine - INFO - Epoch(train) [162][3360/3757] lr: 2.7241e-04 eta: 7:52:14 time: 0.4176 data_time: 0.0215 memory: 17006 grad_norm: 11.9577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2933 loss: 1.2933 2022/07/30 10:45:51 - mmengine - INFO - Epoch(train) [162][3380/3757] lr: 2.7241e-04 eta: 7:52:06 time: 0.4161 data_time: 0.0215 memory: 17006 grad_norm: 11.8608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/07/30 10:46:00 - mmengine - INFO - Epoch(train) [162][3400/3757] lr: 2.7241e-04 eta: 7:51:58 time: 0.4168 data_time: 0.0237 memory: 17006 grad_norm: 12.2246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9104 loss: 0.9104 2022/07/30 10:46:08 - mmengine - INFO - Epoch(train) [162][3420/3757] lr: 2.7241e-04 eta: 7:51:50 time: 0.4390 data_time: 0.0206 memory: 17006 grad_norm: 11.5303 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1072 loss: 1.1072 2022/07/30 10:46:17 - mmengine - INFO - Epoch(train) [162][3440/3757] lr: 2.7241e-04 eta: 7:51:41 time: 0.4067 data_time: 0.0200 memory: 17006 grad_norm: 11.5755 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0053 loss: 1.0053 2022/07/30 10:46:25 - mmengine - INFO - Epoch(train) [162][3460/3757] lr: 2.7241e-04 eta: 7:51:33 time: 0.4152 data_time: 0.0229 memory: 17006 grad_norm: 11.6792 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0309 loss: 1.0309 2022/07/30 10:46:33 - mmengine - INFO - Epoch(train) [162][3480/3757] lr: 2.7241e-04 eta: 7:51:25 time: 0.4090 data_time: 0.0206 memory: 17006 grad_norm: 12.0791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1883 loss: 1.1883 2022/07/30 10:46:42 - mmengine - INFO - Epoch(train) [162][3500/3757] lr: 2.7241e-04 eta: 7:51:16 time: 0.4373 data_time: 0.0228 memory: 17006 grad_norm: 11.6259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2289 loss: 1.2289 2022/07/30 10:46:50 - mmengine - INFO - Epoch(train) [162][3520/3757] lr: 2.7241e-04 eta: 7:51:08 time: 0.4077 data_time: 0.0212 memory: 17006 grad_norm: 12.0956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/07/30 10:46:58 - mmengine - INFO - Epoch(train) [162][3540/3757] lr: 2.7241e-04 eta: 7:51:00 time: 0.4147 data_time: 0.0237 memory: 17006 grad_norm: 12.1629 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0896 loss: 1.0896 2022/07/30 10:47:07 - mmengine - INFO - Epoch(train) [162][3560/3757] lr: 2.7241e-04 eta: 7:50:51 time: 0.4059 data_time: 0.0207 memory: 17006 grad_norm: 12.4378 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2068 loss: 1.2068 2022/07/30 10:47:15 - mmengine - INFO - Epoch(train) [162][3580/3757] lr: 2.7241e-04 eta: 7:50:43 time: 0.4087 data_time: 0.0201 memory: 17006 grad_norm: 11.3487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2245 loss: 1.2245 2022/07/30 10:47:23 - mmengine - INFO - Epoch(train) [162][3600/3757] lr: 2.7241e-04 eta: 7:50:34 time: 0.4192 data_time: 0.0238 memory: 17006 grad_norm: 12.2547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2575 loss: 1.2575 2022/07/30 10:47:31 - mmengine - INFO - Epoch(train) [162][3620/3757] lr: 2.7241e-04 eta: 7:50:26 time: 0.4098 data_time: 0.0210 memory: 17006 grad_norm: 11.9491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1543 loss: 1.1543 2022/07/30 10:47:40 - mmengine - INFO - Epoch(train) [162][3640/3757] lr: 2.7241e-04 eta: 7:50:18 time: 0.4221 data_time: 0.0226 memory: 17006 grad_norm: 11.9012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3571 loss: 1.3571 2022/07/30 10:47:48 - mmengine - INFO - Epoch(train) [162][3660/3757] lr: 2.7241e-04 eta: 7:50:09 time: 0.4150 data_time: 0.0218 memory: 17006 grad_norm: 11.9369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1731 loss: 1.1731 2022/07/30 10:47:56 - mmengine - INFO - Epoch(train) [162][3680/3757] lr: 2.7241e-04 eta: 7:50:01 time: 0.4058 data_time: 0.0207 memory: 17006 grad_norm: 12.0776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0448 loss: 1.0448 2022/07/30 10:48:05 - mmengine - INFO - Epoch(train) [162][3700/3757] lr: 2.7241e-04 eta: 7:49:53 time: 0.4181 data_time: 0.0232 memory: 17006 grad_norm: 11.8328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1862 loss: 1.1862 2022/07/30 10:48:13 - mmengine - INFO - Epoch(train) [162][3720/3757] lr: 2.7241e-04 eta: 7:49:45 time: 0.4356 data_time: 0.0208 memory: 17006 grad_norm: 12.5522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0472 loss: 1.0472 2022/07/30 10:48:22 - mmengine - INFO - Epoch(train) [162][3740/3757] lr: 2.7241e-04 eta: 7:49:36 time: 0.4214 data_time: 0.0224 memory: 17006 grad_norm: 11.8696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1107 loss: 1.1107 2022/07/30 10:48:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:48:29 - mmengine - INFO - Epoch(train) [162][3757/3757] lr: 2.7241e-04 eta: 7:49:36 time: 0.3959 data_time: 0.0205 memory: 17006 grad_norm: 12.1868 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0746 loss: 1.0746 2022/07/30 10:48:29 - mmengine - INFO - Saving checkpoint at 162 epochs 2022/07/30 10:48:43 - mmengine - INFO - Epoch(train) [163][20/3757] lr: 2.4472e-04 eta: 7:49:18 time: 0.4627 data_time: 0.0740 memory: 17006 grad_norm: 11.7004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2204 loss: 1.2204 2022/07/30 10:48:52 - mmengine - INFO - Epoch(train) [163][40/3757] lr: 2.4472e-04 eta: 7:49:11 time: 0.4656 data_time: 0.0251 memory: 17006 grad_norm: 12.1961 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5433 loss: 1.5433 2022/07/30 10:49:00 - mmengine - INFO - Epoch(train) [163][60/3757] lr: 2.4472e-04 eta: 7:49:02 time: 0.4046 data_time: 0.0181 memory: 17006 grad_norm: 11.5613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/07/30 10:49:08 - mmengine - INFO - Epoch(train) [163][80/3757] lr: 2.4472e-04 eta: 7:48:54 time: 0.4152 data_time: 0.0243 memory: 17006 grad_norm: 12.5256 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0282 loss: 1.0282 2022/07/30 10:49:16 - mmengine - INFO - Epoch(train) [163][100/3757] lr: 2.4472e-04 eta: 7:48:45 time: 0.4042 data_time: 0.0186 memory: 17006 grad_norm: 11.6807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9511 loss: 0.9511 2022/07/30 10:49:25 - mmengine - INFO - Epoch(train) [163][120/3757] lr: 2.4472e-04 eta: 7:48:37 time: 0.4256 data_time: 0.0216 memory: 17006 grad_norm: 12.1660 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2345 loss: 1.2345 2022/07/30 10:49:33 - mmengine - INFO - Epoch(train) [163][140/3757] lr: 2.4472e-04 eta: 7:48:29 time: 0.4216 data_time: 0.0205 memory: 17006 grad_norm: 11.8176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1479 loss: 1.1479 2022/07/30 10:49:42 - mmengine - INFO - Epoch(train) [163][160/3757] lr: 2.4472e-04 eta: 7:48:20 time: 0.4121 data_time: 0.0217 memory: 17006 grad_norm: 12.3560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3303 loss: 1.3303 2022/07/30 10:49:50 - mmengine - INFO - Epoch(train) [163][180/3757] lr: 2.4472e-04 eta: 7:48:12 time: 0.4161 data_time: 0.0209 memory: 17006 grad_norm: 12.1074 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0139 loss: 1.0139 2022/07/30 10:49:58 - mmengine - INFO - Epoch(train) [163][200/3757] lr: 2.4472e-04 eta: 7:48:04 time: 0.4096 data_time: 0.0213 memory: 17006 grad_norm: 11.3924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0398 loss: 1.0398 2022/07/30 10:50:06 - mmengine - INFO - Epoch(train) [163][220/3757] lr: 2.4472e-04 eta: 7:47:55 time: 0.4058 data_time: 0.0191 memory: 17006 grad_norm: 12.2117 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0922 loss: 1.0922 2022/07/30 10:50:15 - mmengine - INFO - Epoch(train) [163][240/3757] lr: 2.4472e-04 eta: 7:47:47 time: 0.4368 data_time: 0.0227 memory: 17006 grad_norm: 11.1101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1206 loss: 1.1206 2022/07/30 10:50:24 - mmengine - INFO - Epoch(train) [163][260/3757] lr: 2.4472e-04 eta: 7:47:39 time: 0.4124 data_time: 0.0213 memory: 17006 grad_norm: 11.8748 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1767 loss: 1.1767 2022/07/30 10:50:32 - mmengine - INFO - Epoch(train) [163][280/3757] lr: 2.4472e-04 eta: 7:47:30 time: 0.4163 data_time: 0.0225 memory: 17006 grad_norm: 11.9648 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1889 loss: 1.1889 2022/07/30 10:50:40 - mmengine - INFO - Epoch(train) [163][300/3757] lr: 2.4472e-04 eta: 7:47:22 time: 0.4116 data_time: 0.0188 memory: 17006 grad_norm: 11.7299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1583 loss: 1.1583 2022/07/30 10:50:48 - mmengine - INFO - Epoch(train) [163][320/3757] lr: 2.4472e-04 eta: 7:47:14 time: 0.4099 data_time: 0.0229 memory: 17006 grad_norm: 11.8053 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0249 loss: 1.0249 2022/07/30 10:50:56 - mmengine - INFO - Epoch(train) [163][340/3757] lr: 2.4472e-04 eta: 7:47:05 time: 0.4053 data_time: 0.0187 memory: 17006 grad_norm: 11.6946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4631 loss: 1.4631 2022/07/30 10:51:05 - mmengine - INFO - Epoch(train) [163][360/3757] lr: 2.4472e-04 eta: 7:46:57 time: 0.4086 data_time: 0.0210 memory: 17006 grad_norm: 12.2159 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1677 loss: 1.1677 2022/07/30 10:51:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:51:13 - mmengine - INFO - Epoch(train) [163][380/3757] lr: 2.4472e-04 eta: 7:46:48 time: 0.4127 data_time: 0.0210 memory: 17006 grad_norm: 12.3946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3251 loss: 1.3251 2022/07/30 10:51:22 - mmengine - INFO - Epoch(train) [163][400/3757] lr: 2.4472e-04 eta: 7:46:40 time: 0.4404 data_time: 0.0212 memory: 17006 grad_norm: 12.0370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1572 loss: 1.1572 2022/07/30 10:51:30 - mmengine - INFO - Epoch(train) [163][420/3757] lr: 2.4472e-04 eta: 7:46:32 time: 0.4139 data_time: 0.0202 memory: 17006 grad_norm: 12.1037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/07/30 10:51:38 - mmengine - INFO - Epoch(train) [163][440/3757] lr: 2.4472e-04 eta: 7:46:24 time: 0.4109 data_time: 0.0210 memory: 17006 grad_norm: 12.0513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2215 loss: 1.2215 2022/07/30 10:51:47 - mmengine - INFO - Epoch(train) [163][460/3757] lr: 2.4472e-04 eta: 7:46:15 time: 0.4060 data_time: 0.0213 memory: 17006 grad_norm: 12.0238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1710 loss: 1.1710 2022/07/30 10:51:55 - mmengine - INFO - Epoch(train) [163][480/3757] lr: 2.4472e-04 eta: 7:46:07 time: 0.4205 data_time: 0.0222 memory: 17006 grad_norm: 12.1843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1072 loss: 1.1072 2022/07/30 10:52:03 - mmengine - INFO - Epoch(train) [163][500/3757] lr: 2.4472e-04 eta: 7:45:58 time: 0.4066 data_time: 0.0192 memory: 17006 grad_norm: 12.0843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2345 loss: 1.2345 2022/07/30 10:52:12 - mmengine - INFO - Epoch(train) [163][520/3757] lr: 2.4472e-04 eta: 7:45:50 time: 0.4208 data_time: 0.0235 memory: 17006 grad_norm: 11.7725 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2493 loss: 1.2493 2022/07/30 10:52:20 - mmengine - INFO - Epoch(train) [163][540/3757] lr: 2.4472e-04 eta: 7:45:42 time: 0.4054 data_time: 0.0191 memory: 17006 grad_norm: 11.5406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9314 loss: 0.9314 2022/07/30 10:52:28 - mmengine - INFO - Epoch(train) [163][560/3757] lr: 2.4472e-04 eta: 7:45:34 time: 0.4235 data_time: 0.0215 memory: 17006 grad_norm: 12.9528 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3517 loss: 1.3517 2022/07/30 10:52:36 - mmengine - INFO - Epoch(train) [163][580/3757] lr: 2.4472e-04 eta: 7:45:25 time: 0.4072 data_time: 0.0197 memory: 17006 grad_norm: 11.8286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2317 loss: 1.2317 2022/07/30 10:52:45 - mmengine - INFO - Epoch(train) [163][600/3757] lr: 2.4472e-04 eta: 7:45:17 time: 0.4092 data_time: 0.0210 memory: 17006 grad_norm: 11.2765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0617 loss: 1.0617 2022/07/30 10:52:53 - mmengine - INFO - Epoch(train) [163][620/3757] lr: 2.4472e-04 eta: 7:45:08 time: 0.4227 data_time: 0.0206 memory: 17006 grad_norm: 11.9698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0245 loss: 1.0245 2022/07/30 10:53:01 - mmengine - INFO - Epoch(train) [163][640/3757] lr: 2.4472e-04 eta: 7:45:00 time: 0.4060 data_time: 0.0224 memory: 17006 grad_norm: 11.5523 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9332 loss: 0.9332 2022/07/30 10:53:09 - mmengine - INFO - Epoch(train) [163][660/3757] lr: 2.4472e-04 eta: 7:44:52 time: 0.4114 data_time: 0.0211 memory: 17006 grad_norm: 12.7099 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2097 loss: 1.2097 2022/07/30 10:53:18 - mmengine - INFO - Epoch(train) [163][680/3757] lr: 2.4472e-04 eta: 7:44:43 time: 0.4076 data_time: 0.0223 memory: 17006 grad_norm: 11.6698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3028 loss: 1.3028 2022/07/30 10:53:26 - mmengine - INFO - Epoch(train) [163][700/3757] lr: 2.4472e-04 eta: 7:44:35 time: 0.4038 data_time: 0.0181 memory: 17006 grad_norm: 12.0090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0264 loss: 1.0264 2022/07/30 10:53:35 - mmengine - INFO - Epoch(train) [163][720/3757] lr: 2.4472e-04 eta: 7:44:27 time: 0.4376 data_time: 0.0225 memory: 17006 grad_norm: 11.9508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1139 loss: 1.1139 2022/07/30 10:53:43 - mmengine - INFO - Epoch(train) [163][740/3757] lr: 2.4472e-04 eta: 7:44:18 time: 0.4058 data_time: 0.0194 memory: 17006 grad_norm: 11.9566 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4208 loss: 1.4208 2022/07/30 10:53:52 - mmengine - INFO - Epoch(train) [163][760/3757] lr: 2.4472e-04 eta: 7:44:10 time: 0.4511 data_time: 0.0242 memory: 17006 grad_norm: 12.4101 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1765 loss: 1.1765 2022/07/30 10:54:00 - mmengine - INFO - Epoch(train) [163][780/3757] lr: 2.4472e-04 eta: 7:44:02 time: 0.4134 data_time: 0.0205 memory: 17006 grad_norm: 11.5995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0265 loss: 1.0265 2022/07/30 10:54:08 - mmengine - INFO - Epoch(train) [163][800/3757] lr: 2.4472e-04 eta: 7:43:53 time: 0.4082 data_time: 0.0213 memory: 17006 grad_norm: 12.3068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3186 loss: 1.3186 2022/07/30 10:54:16 - mmengine - INFO - Epoch(train) [163][820/3757] lr: 2.4472e-04 eta: 7:43:45 time: 0.4055 data_time: 0.0189 memory: 17006 grad_norm: 11.7924 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0656 loss: 1.0656 2022/07/30 10:54:25 - mmengine - INFO - Epoch(train) [163][840/3757] lr: 2.4472e-04 eta: 7:43:37 time: 0.4253 data_time: 0.0231 memory: 17006 grad_norm: 12.6938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1552 loss: 1.1552 2022/07/30 10:54:33 - mmengine - INFO - Epoch(train) [163][860/3757] lr: 2.4472e-04 eta: 7:43:28 time: 0.4097 data_time: 0.0196 memory: 17006 grad_norm: 11.7306 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2741 loss: 1.2741 2022/07/30 10:54:42 - mmengine - INFO - Epoch(train) [163][880/3757] lr: 2.4472e-04 eta: 7:43:20 time: 0.4259 data_time: 0.0227 memory: 17006 grad_norm: 11.7504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2541 loss: 1.2541 2022/07/30 10:54:50 - mmengine - INFO - Epoch(train) [163][900/3757] lr: 2.4472e-04 eta: 7:43:12 time: 0.4071 data_time: 0.0206 memory: 17006 grad_norm: 12.2858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0550 loss: 1.0550 2022/07/30 10:54:58 - mmengine - INFO - Epoch(train) [163][920/3757] lr: 2.4472e-04 eta: 7:43:03 time: 0.4282 data_time: 0.0211 memory: 17006 grad_norm: 11.8278 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 1.0019 loss: 1.0019 2022/07/30 10:55:07 - mmengine - INFO - Epoch(train) [163][940/3757] lr: 2.4472e-04 eta: 7:42:55 time: 0.4091 data_time: 0.0193 memory: 17006 grad_norm: 12.1629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2202 loss: 1.2202 2022/07/30 10:55:15 - mmengine - INFO - Epoch(train) [163][960/3757] lr: 2.4472e-04 eta: 7:42:47 time: 0.4073 data_time: 0.0213 memory: 17006 grad_norm: 12.0811 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2008 loss: 1.2008 2022/07/30 10:55:23 - mmengine - INFO - Epoch(train) [163][980/3757] lr: 2.4472e-04 eta: 7:42:38 time: 0.4304 data_time: 0.0206 memory: 17006 grad_norm: 11.1746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9180 loss: 0.9180 2022/07/30 10:55:32 - mmengine - INFO - Epoch(train) [163][1000/3757] lr: 2.4472e-04 eta: 7:42:30 time: 0.4087 data_time: 0.0217 memory: 17006 grad_norm: 12.0458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2351 loss: 1.2351 2022/07/30 10:55:41 - mmengine - INFO - Epoch(train) [163][1020/3757] lr: 2.4472e-04 eta: 7:42:22 time: 0.4530 data_time: 0.0222 memory: 17006 grad_norm: 12.8401 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2415 loss: 1.2415 2022/07/30 10:55:49 - mmengine - INFO - Epoch(train) [163][1040/3757] lr: 2.4472e-04 eta: 7:42:14 time: 0.4085 data_time: 0.0234 memory: 17006 grad_norm: 12.5052 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1106 loss: 1.1106 2022/07/30 10:55:57 - mmengine - INFO - Epoch(train) [163][1060/3757] lr: 2.4472e-04 eta: 7:42:05 time: 0.4061 data_time: 0.0198 memory: 17006 grad_norm: 12.2257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/07/30 10:56:06 - mmengine - INFO - Epoch(train) [163][1080/3757] lr: 2.4472e-04 eta: 7:41:57 time: 0.4263 data_time: 0.0224 memory: 17006 grad_norm: 12.1826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0756 loss: 1.0756 2022/07/30 10:56:14 - mmengine - INFO - Epoch(train) [163][1100/3757] lr: 2.4472e-04 eta: 7:41:49 time: 0.4054 data_time: 0.0185 memory: 17006 grad_norm: 12.4512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3413 loss: 1.3413 2022/07/30 10:56:22 - mmengine - INFO - Epoch(train) [163][1120/3757] lr: 2.4472e-04 eta: 7:41:40 time: 0.4231 data_time: 0.0217 memory: 17006 grad_norm: 11.6530 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3747 loss: 1.3747 2022/07/30 10:56:30 - mmengine - INFO - Epoch(train) [163][1140/3757] lr: 2.4472e-04 eta: 7:41:32 time: 0.4062 data_time: 0.0184 memory: 17006 grad_norm: 11.6185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3515 loss: 1.3515 2022/07/30 10:56:39 - mmengine - INFO - Epoch(train) [163][1160/3757] lr: 2.4472e-04 eta: 7:41:24 time: 0.4159 data_time: 0.0232 memory: 17006 grad_norm: 11.8671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9979 loss: 0.9979 2022/07/30 10:56:47 - mmengine - INFO - Epoch(train) [163][1180/3757] lr: 2.4472e-04 eta: 7:41:15 time: 0.4038 data_time: 0.0184 memory: 17006 grad_norm: 11.9597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5027 loss: 1.5027 2022/07/30 10:56:55 - mmengine - INFO - Epoch(train) [163][1200/3757] lr: 2.4472e-04 eta: 7:41:07 time: 0.4078 data_time: 0.0212 memory: 17006 grad_norm: 11.8739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1567 loss: 1.1567 2022/07/30 10:57:04 - mmengine - INFO - Epoch(train) [163][1220/3757] lr: 2.4472e-04 eta: 7:40:58 time: 0.4242 data_time: 0.0197 memory: 17006 grad_norm: 12.5895 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1935 loss: 1.1935 2022/07/30 10:57:12 - mmengine - INFO - Epoch(train) [163][1240/3757] lr: 2.4472e-04 eta: 7:40:50 time: 0.4068 data_time: 0.0216 memory: 17006 grad_norm: 11.9765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0553 loss: 1.0553 2022/07/30 10:57:20 - mmengine - INFO - Epoch(train) [163][1260/3757] lr: 2.4472e-04 eta: 7:40:42 time: 0.4175 data_time: 0.0216 memory: 17006 grad_norm: 12.3606 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/07/30 10:57:28 - mmengine - INFO - Epoch(train) [163][1280/3757] lr: 2.4472e-04 eta: 7:40:33 time: 0.4077 data_time: 0.0218 memory: 17006 grad_norm: 11.8165 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2947 loss: 1.2947 2022/07/30 10:57:37 - mmengine - INFO - Epoch(train) [163][1300/3757] lr: 2.4472e-04 eta: 7:40:25 time: 0.4070 data_time: 0.0210 memory: 17006 grad_norm: 12.4585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3055 loss: 1.3055 2022/07/30 10:57:45 - mmengine - INFO - Epoch(train) [163][1320/3757] lr: 2.4472e-04 eta: 7:40:17 time: 0.4267 data_time: 0.0239 memory: 17006 grad_norm: 10.8717 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6780 loss: 0.6780 2022/07/30 10:57:53 - mmengine - INFO - Epoch(train) [163][1340/3757] lr: 2.4472e-04 eta: 7:40:08 time: 0.4055 data_time: 0.0184 memory: 17006 grad_norm: 11.8001 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0464 loss: 1.0464 2022/07/30 10:58:02 - mmengine - INFO - Epoch(train) [163][1360/3757] lr: 2.4472e-04 eta: 7:40:00 time: 0.4195 data_time: 0.0225 memory: 17006 grad_norm: 12.4265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3242 loss: 1.3242 2022/07/30 10:58:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 10:58:10 - mmengine - INFO - Epoch(train) [163][1380/3757] lr: 2.4472e-04 eta: 7:39:52 time: 0.4057 data_time: 0.0198 memory: 17006 grad_norm: 12.2624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9995 loss: 0.9995 2022/07/30 10:58:18 - mmengine - INFO - Epoch(train) [163][1400/3757] lr: 2.4472e-04 eta: 7:39:43 time: 0.4066 data_time: 0.0208 memory: 17006 grad_norm: 12.1648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1613 loss: 1.1613 2022/07/30 10:58:26 - mmengine - INFO - Epoch(train) [163][1420/3757] lr: 2.4472e-04 eta: 7:39:35 time: 0.4245 data_time: 0.0229 memory: 17006 grad_norm: 11.9596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0123 loss: 1.0123 2022/07/30 10:58:35 - mmengine - INFO - Epoch(train) [163][1440/3757] lr: 2.4472e-04 eta: 7:39:26 time: 0.4099 data_time: 0.0219 memory: 17006 grad_norm: 11.4199 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1043 loss: 1.1043 2022/07/30 10:58:43 - mmengine - INFO - Epoch(train) [163][1460/3757] lr: 2.4472e-04 eta: 7:39:18 time: 0.4202 data_time: 0.0218 memory: 17006 grad_norm: 11.4320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1838 loss: 1.1838 2022/07/30 10:58:51 - mmengine - INFO - Epoch(train) [163][1480/3757] lr: 2.4472e-04 eta: 7:39:10 time: 0.4070 data_time: 0.0219 memory: 17006 grad_norm: 11.9829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/07/30 10:59:00 - mmengine - INFO - Epoch(train) [163][1500/3757] lr: 2.4472e-04 eta: 7:39:01 time: 0.4176 data_time: 0.0220 memory: 17006 grad_norm: 11.5986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9272 loss: 0.9272 2022/07/30 10:59:08 - mmengine - INFO - Epoch(train) [163][1520/3757] lr: 2.4472e-04 eta: 7:38:53 time: 0.4068 data_time: 0.0213 memory: 17006 grad_norm: 12.2315 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/07/30 10:59:16 - mmengine - INFO - Epoch(train) [163][1540/3757] lr: 2.4472e-04 eta: 7:38:45 time: 0.4165 data_time: 0.0202 memory: 17006 grad_norm: 11.6465 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/07/30 10:59:25 - mmengine - INFO - Epoch(train) [163][1560/3757] lr: 2.4472e-04 eta: 7:38:36 time: 0.4167 data_time: 0.0239 memory: 17006 grad_norm: 12.2355 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1941 loss: 1.1941 2022/07/30 10:59:33 - mmengine - INFO - Epoch(train) [163][1580/3757] lr: 2.4472e-04 eta: 7:38:28 time: 0.4120 data_time: 0.0188 memory: 17006 grad_norm: 11.5844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/07/30 10:59:41 - mmengine - INFO - Epoch(train) [163][1600/3757] lr: 2.4472e-04 eta: 7:38:20 time: 0.4183 data_time: 0.0233 memory: 17006 grad_norm: 11.5923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0404 loss: 1.0404 2022/07/30 10:59:49 - mmengine - INFO - Epoch(train) [163][1620/3757] lr: 2.4472e-04 eta: 7:38:11 time: 0.4054 data_time: 0.0180 memory: 17006 grad_norm: 12.4817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9126 loss: 0.9126 2022/07/30 10:59:58 - mmengine - INFO - Epoch(train) [163][1640/3757] lr: 2.4472e-04 eta: 7:38:03 time: 0.4057 data_time: 0.0217 memory: 17006 grad_norm: 12.4640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1193 loss: 1.1193 2022/07/30 11:00:06 - mmengine - INFO - Epoch(train) [163][1660/3757] lr: 2.4472e-04 eta: 7:37:54 time: 0.4101 data_time: 0.0205 memory: 17006 grad_norm: 12.2522 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/07/30 11:00:14 - mmengine - INFO - Epoch(train) [163][1680/3757] lr: 2.4472e-04 eta: 7:37:46 time: 0.4095 data_time: 0.0220 memory: 17006 grad_norm: 12.0644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2716 loss: 1.2716 2022/07/30 11:00:22 - mmengine - INFO - Epoch(train) [163][1700/3757] lr: 2.4472e-04 eta: 7:37:38 time: 0.4237 data_time: 0.0210 memory: 17006 grad_norm: 11.2625 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0800 loss: 1.0800 2022/07/30 11:00:31 - mmengine - INFO - Epoch(train) [163][1720/3757] lr: 2.4472e-04 eta: 7:37:29 time: 0.4066 data_time: 0.0216 memory: 17006 grad_norm: 12.3828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3233 loss: 1.3233 2022/07/30 11:00:39 - mmengine - INFO - Epoch(train) [163][1740/3757] lr: 2.4472e-04 eta: 7:37:21 time: 0.4307 data_time: 0.0219 memory: 17006 grad_norm: 12.0008 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2485 loss: 1.2485 2022/07/30 11:00:47 - mmengine - INFO - Epoch(train) [163][1760/3757] lr: 2.4472e-04 eta: 7:37:13 time: 0.4046 data_time: 0.0212 memory: 17006 grad_norm: 12.2252 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2438 loss: 1.2438 2022/07/30 11:00:56 - mmengine - INFO - Epoch(train) [163][1780/3757] lr: 2.4472e-04 eta: 7:37:04 time: 0.4057 data_time: 0.0202 memory: 17006 grad_norm: 11.9362 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1197 loss: 1.1197 2022/07/30 11:01:04 - mmengine - INFO - Epoch(train) [163][1800/3757] lr: 2.4472e-04 eta: 7:36:56 time: 0.4203 data_time: 0.0235 memory: 17006 grad_norm: 11.8260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6046 loss: 1.6046 2022/07/30 11:01:12 - mmengine - INFO - Epoch(train) [163][1820/3757] lr: 2.4472e-04 eta: 7:36:48 time: 0.4153 data_time: 0.0198 memory: 17006 grad_norm: 11.3755 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.7925 loss: 0.7925 2022/07/30 11:01:21 - mmengine - INFO - Epoch(train) [163][1840/3757] lr: 2.4472e-04 eta: 7:36:39 time: 0.4115 data_time: 0.0222 memory: 17006 grad_norm: 12.4867 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4436 loss: 1.4436 2022/07/30 11:01:29 - mmengine - INFO - Epoch(train) [163][1860/3757] lr: 2.4472e-04 eta: 7:36:31 time: 0.4051 data_time: 0.0191 memory: 17006 grad_norm: 11.7205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9069 loss: 0.9069 2022/07/30 11:01:37 - mmengine - INFO - Epoch(train) [163][1880/3757] lr: 2.4472e-04 eta: 7:36:23 time: 0.4052 data_time: 0.0208 memory: 17006 grad_norm: 11.8557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/07/30 11:01:45 - mmengine - INFO - Epoch(train) [163][1900/3757] lr: 2.4472e-04 eta: 7:36:14 time: 0.4123 data_time: 0.0221 memory: 17006 grad_norm: 11.9399 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0876 loss: 1.0876 2022/07/30 11:01:54 - mmengine - INFO - Epoch(train) [163][1920/3757] lr: 2.4472e-04 eta: 7:36:06 time: 0.4204 data_time: 0.0213 memory: 17006 grad_norm: 12.2468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2399 loss: 1.2399 2022/07/30 11:02:02 - mmengine - INFO - Epoch(train) [163][1940/3757] lr: 2.4472e-04 eta: 7:35:57 time: 0.4098 data_time: 0.0227 memory: 17006 grad_norm: 12.0342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0200 loss: 1.0200 2022/07/30 11:02:10 - mmengine - INFO - Epoch(train) [163][1960/3757] lr: 2.4472e-04 eta: 7:35:49 time: 0.4061 data_time: 0.0210 memory: 17006 grad_norm: 12.1858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0993 loss: 1.0993 2022/07/30 11:02:18 - mmengine - INFO - Epoch(train) [163][1980/3757] lr: 2.4472e-04 eta: 7:35:41 time: 0.4054 data_time: 0.0186 memory: 17006 grad_norm: 11.6748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1122 loss: 1.1122 2022/07/30 11:02:26 - mmengine - INFO - Epoch(train) [163][2000/3757] lr: 2.4472e-04 eta: 7:35:32 time: 0.4110 data_time: 0.0219 memory: 17006 grad_norm: 11.6773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3656 loss: 1.3656 2022/07/30 11:02:35 - mmengine - INFO - Epoch(train) [163][2020/3757] lr: 2.4472e-04 eta: 7:35:24 time: 0.4083 data_time: 0.0202 memory: 17006 grad_norm: 11.4737 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0680 loss: 1.0680 2022/07/30 11:02:43 - mmengine - INFO - Epoch(train) [163][2040/3757] lr: 2.4472e-04 eta: 7:35:16 time: 0.4082 data_time: 0.0222 memory: 17006 grad_norm: 12.0929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1676 loss: 1.1676 2022/07/30 11:02:51 - mmengine - INFO - Epoch(train) [163][2060/3757] lr: 2.4472e-04 eta: 7:35:07 time: 0.4109 data_time: 0.0201 memory: 17006 grad_norm: 11.9131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/07/30 11:02:59 - mmengine - INFO - Epoch(train) [163][2080/3757] lr: 2.4472e-04 eta: 7:34:59 time: 0.4105 data_time: 0.0217 memory: 17006 grad_norm: 11.4516 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9886 loss: 0.9886 2022/07/30 11:03:07 - mmengine - INFO - Epoch(train) [163][2100/3757] lr: 2.4472e-04 eta: 7:34:50 time: 0.4063 data_time: 0.0203 memory: 17006 grad_norm: 12.0411 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2583 loss: 1.2583 2022/07/30 11:03:16 - mmengine - INFO - Epoch(train) [163][2120/3757] lr: 2.4472e-04 eta: 7:34:42 time: 0.4314 data_time: 0.0210 memory: 17006 grad_norm: 12.2174 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0022 loss: 1.0022 2022/07/30 11:03:24 - mmengine - INFO - Epoch(train) [163][2140/3757] lr: 2.4472e-04 eta: 7:34:34 time: 0.4067 data_time: 0.0199 memory: 17006 grad_norm: 12.2244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0249 loss: 1.0249 2022/07/30 11:03:32 - mmengine - INFO - Epoch(train) [163][2160/3757] lr: 2.4472e-04 eta: 7:34:25 time: 0.4072 data_time: 0.0215 memory: 17006 grad_norm: 12.2157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2231 loss: 1.2231 2022/07/30 11:03:41 - mmengine - INFO - Epoch(train) [163][2180/3757] lr: 2.4472e-04 eta: 7:34:17 time: 0.4073 data_time: 0.0196 memory: 17006 grad_norm: 12.1853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4444 loss: 1.4444 2022/07/30 11:03:49 - mmengine - INFO - Epoch(train) [163][2200/3757] lr: 2.4472e-04 eta: 7:34:09 time: 0.4081 data_time: 0.0218 memory: 17006 grad_norm: 12.0128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1929 loss: 1.1929 2022/07/30 11:03:57 - mmengine - INFO - Epoch(train) [163][2220/3757] lr: 2.4472e-04 eta: 7:34:00 time: 0.4056 data_time: 0.0184 memory: 17006 grad_norm: 11.8875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9795 loss: 0.9795 2022/07/30 11:04:05 - mmengine - INFO - Epoch(train) [163][2240/3757] lr: 2.4472e-04 eta: 7:33:52 time: 0.4158 data_time: 0.0227 memory: 17006 grad_norm: 12.0930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1886 loss: 1.1886 2022/07/30 11:04:13 - mmengine - INFO - Epoch(train) [163][2260/3757] lr: 2.4472e-04 eta: 7:33:43 time: 0.4091 data_time: 0.0208 memory: 17006 grad_norm: 11.5711 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2718 loss: 1.2718 2022/07/30 11:04:22 - mmengine - INFO - Epoch(train) [163][2280/3757] lr: 2.4472e-04 eta: 7:33:35 time: 0.4439 data_time: 0.0228 memory: 17006 grad_norm: 11.6615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1416 loss: 1.1416 2022/07/30 11:04:30 - mmengine - INFO - Epoch(train) [163][2300/3757] lr: 2.4472e-04 eta: 7:33:27 time: 0.4055 data_time: 0.0197 memory: 17006 grad_norm: 12.3970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9433 loss: 0.9433 2022/07/30 11:04:39 - mmengine - INFO - Epoch(train) [163][2320/3757] lr: 2.4472e-04 eta: 7:33:19 time: 0.4103 data_time: 0.0217 memory: 17006 grad_norm: 11.0965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1233 loss: 1.1233 2022/07/30 11:04:47 - mmengine - INFO - Epoch(train) [163][2340/3757] lr: 2.4472e-04 eta: 7:33:10 time: 0.4082 data_time: 0.0203 memory: 17006 grad_norm: 11.5138 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0243 loss: 1.0243 2022/07/30 11:04:55 - mmengine - INFO - Epoch(train) [163][2360/3757] lr: 2.4472e-04 eta: 7:33:02 time: 0.4055 data_time: 0.0214 memory: 17006 grad_norm: 11.8882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1234 loss: 1.1234 2022/07/30 11:04:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:05:04 - mmengine - INFO - Epoch(train) [163][2380/3757] lr: 2.4472e-04 eta: 7:32:54 time: 0.4512 data_time: 0.0228 memory: 17006 grad_norm: 12.5820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/07/30 11:05:12 - mmengine - INFO - Epoch(train) [163][2400/3757] lr: 2.4472e-04 eta: 7:32:45 time: 0.4069 data_time: 0.0211 memory: 17006 grad_norm: 12.3688 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1208 loss: 1.1208 2022/07/30 11:05:21 - mmengine - INFO - Epoch(train) [163][2420/3757] lr: 2.4472e-04 eta: 7:32:37 time: 0.4207 data_time: 0.0218 memory: 17006 grad_norm: 11.6889 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4210 loss: 1.4210 2022/07/30 11:05:29 - mmengine - INFO - Epoch(train) [163][2440/3757] lr: 2.4472e-04 eta: 7:32:29 time: 0.4065 data_time: 0.0215 memory: 17006 grad_norm: 12.2616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2624 loss: 1.2624 2022/07/30 11:05:37 - mmengine - INFO - Epoch(train) [163][2460/3757] lr: 2.4472e-04 eta: 7:32:20 time: 0.4055 data_time: 0.0184 memory: 17006 grad_norm: 12.2938 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1096 loss: 1.1096 2022/07/30 11:05:46 - mmengine - INFO - Epoch(train) [163][2480/3757] lr: 2.4472e-04 eta: 7:32:12 time: 0.4394 data_time: 0.0222 memory: 17006 grad_norm: 12.0393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1923 loss: 1.1923 2022/07/30 11:05:54 - mmengine - INFO - Epoch(train) [163][2500/3757] lr: 2.4472e-04 eta: 7:32:04 time: 0.4064 data_time: 0.0191 memory: 17006 grad_norm: 12.0255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2755 loss: 1.2755 2022/07/30 11:06:03 - mmengine - INFO - Epoch(train) [163][2520/3757] lr: 2.4472e-04 eta: 7:31:55 time: 0.4350 data_time: 0.0252 memory: 17006 grad_norm: 12.1826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1766 loss: 1.1766 2022/07/30 11:06:11 - mmengine - INFO - Epoch(train) [163][2540/3757] lr: 2.4472e-04 eta: 7:31:47 time: 0.4046 data_time: 0.0183 memory: 17006 grad_norm: 12.3227 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3922 loss: 1.3922 2022/07/30 11:06:19 - mmengine - INFO - Epoch(train) [163][2560/3757] lr: 2.4472e-04 eta: 7:31:39 time: 0.4091 data_time: 0.0223 memory: 17006 grad_norm: 11.9124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3471 loss: 1.3471 2022/07/30 11:06:27 - mmengine - INFO - Epoch(train) [163][2580/3757] lr: 2.4472e-04 eta: 7:31:30 time: 0.4202 data_time: 0.0197 memory: 17006 grad_norm: 11.9192 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1759 loss: 1.1759 2022/07/30 11:06:36 - mmengine - INFO - Epoch(train) [163][2600/3757] lr: 2.4472e-04 eta: 7:31:22 time: 0.4066 data_time: 0.0207 memory: 17006 grad_norm: 11.6831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3574 loss: 1.3574 2022/07/30 11:06:44 - mmengine - INFO - Epoch(train) [163][2620/3757] lr: 2.4472e-04 eta: 7:31:14 time: 0.4270 data_time: 0.0199 memory: 17006 grad_norm: 11.7959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2360 loss: 1.2360 2022/07/30 11:06:52 - mmengine - INFO - Epoch(train) [163][2640/3757] lr: 2.4472e-04 eta: 7:31:05 time: 0.4069 data_time: 0.0214 memory: 17006 grad_norm: 11.8188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0146 loss: 1.0146 2022/07/30 11:07:01 - mmengine - INFO - Epoch(train) [163][2660/3757] lr: 2.4472e-04 eta: 7:30:57 time: 0.4338 data_time: 0.0242 memory: 17006 grad_norm: 11.5630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0089 loss: 1.0089 2022/07/30 11:07:09 - mmengine - INFO - Epoch(train) [163][2680/3757] lr: 2.4472e-04 eta: 7:30:49 time: 0.4054 data_time: 0.0206 memory: 17006 grad_norm: 11.7930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2589 loss: 1.2589 2022/07/30 11:07:17 - mmengine - INFO - Epoch(train) [163][2700/3757] lr: 2.4472e-04 eta: 7:30:40 time: 0.4050 data_time: 0.0196 memory: 17006 grad_norm: 12.6466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1637 loss: 1.1637 2022/07/30 11:07:26 - mmengine - INFO - Epoch(train) [163][2720/3757] lr: 2.4472e-04 eta: 7:30:32 time: 0.4237 data_time: 0.0230 memory: 17006 grad_norm: 11.6130 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1082 loss: 1.1082 2022/07/30 11:07:34 - mmengine - INFO - Epoch(train) [163][2740/3757] lr: 2.4472e-04 eta: 7:30:23 time: 0.4071 data_time: 0.0195 memory: 17006 grad_norm: 12.4648 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9668 loss: 0.9668 2022/07/30 11:07:42 - mmengine - INFO - Epoch(train) [163][2760/3757] lr: 2.4472e-04 eta: 7:30:15 time: 0.4179 data_time: 0.0252 memory: 17006 grad_norm: 11.7855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8541 loss: 0.8541 2022/07/30 11:07:51 - mmengine - INFO - Epoch(train) [163][2780/3757] lr: 2.4472e-04 eta: 7:30:07 time: 0.4068 data_time: 0.0204 memory: 17006 grad_norm: 12.2273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0029 loss: 1.0029 2022/07/30 11:07:59 - mmengine - INFO - Epoch(train) [163][2800/3757] lr: 2.4472e-04 eta: 7:29:58 time: 0.4070 data_time: 0.0215 memory: 17006 grad_norm: 12.1133 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3298 loss: 1.3298 2022/07/30 11:08:07 - mmengine - INFO - Epoch(train) [163][2820/3757] lr: 2.4472e-04 eta: 7:29:50 time: 0.4275 data_time: 0.0185 memory: 17006 grad_norm: 11.7104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/07/30 11:08:16 - mmengine - INFO - Epoch(train) [163][2840/3757] lr: 2.4472e-04 eta: 7:29:42 time: 0.4096 data_time: 0.0222 memory: 17006 grad_norm: 11.7147 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9959 loss: 0.9959 2022/07/30 11:08:24 - mmengine - INFO - Epoch(train) [163][2860/3757] lr: 2.4472e-04 eta: 7:29:33 time: 0.4230 data_time: 0.0193 memory: 17006 grad_norm: 12.1217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4961 loss: 1.4961 2022/07/30 11:08:32 - mmengine - INFO - Epoch(train) [163][2880/3757] lr: 2.4472e-04 eta: 7:29:25 time: 0.4079 data_time: 0.0212 memory: 17006 grad_norm: 12.0690 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/07/30 11:08:41 - mmengine - INFO - Epoch(train) [163][2900/3757] lr: 2.4472e-04 eta: 7:29:17 time: 0.4196 data_time: 0.0204 memory: 17006 grad_norm: 12.3576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/07/30 11:08:49 - mmengine - INFO - Epoch(train) [163][2920/3757] lr: 2.4472e-04 eta: 7:29:08 time: 0.4076 data_time: 0.0218 memory: 17006 grad_norm: 12.2504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2382 loss: 1.2382 2022/07/30 11:08:57 - mmengine - INFO - Epoch(train) [163][2940/3757] lr: 2.4472e-04 eta: 7:29:00 time: 0.4113 data_time: 0.0203 memory: 17006 grad_norm: 11.3434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2051 loss: 1.2051 2022/07/30 11:09:05 - mmengine - INFO - Epoch(train) [163][2960/3757] lr: 2.4472e-04 eta: 7:28:52 time: 0.4080 data_time: 0.0212 memory: 17006 grad_norm: 12.1707 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4324 loss: 1.4324 2022/07/30 11:09:14 - mmengine - INFO - Epoch(train) [163][2980/3757] lr: 2.4472e-04 eta: 7:28:43 time: 0.4245 data_time: 0.0201 memory: 17006 grad_norm: 11.6581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0440 loss: 1.0440 2022/07/30 11:09:22 - mmengine - INFO - Epoch(train) [163][3000/3757] lr: 2.4472e-04 eta: 7:28:35 time: 0.4108 data_time: 0.0223 memory: 17006 grad_norm: 12.1833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9928 loss: 0.9928 2022/07/30 11:09:31 - mmengine - INFO - Epoch(train) [163][3020/3757] lr: 2.4472e-04 eta: 7:28:27 time: 0.4338 data_time: 0.0203 memory: 17006 grad_norm: 11.9833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3159 loss: 1.3159 2022/07/30 11:09:39 - mmengine - INFO - Epoch(train) [163][3040/3757] lr: 2.4472e-04 eta: 7:28:18 time: 0.4074 data_time: 0.0219 memory: 17006 grad_norm: 12.2740 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2598 loss: 1.2598 2022/07/30 11:09:47 - mmengine - INFO - Epoch(train) [163][3060/3757] lr: 2.4472e-04 eta: 7:28:10 time: 0.4071 data_time: 0.0190 memory: 17006 grad_norm: 11.8666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9916 loss: 0.9916 2022/07/30 11:09:55 - mmengine - INFO - Epoch(train) [163][3080/3757] lr: 2.4472e-04 eta: 7:28:02 time: 0.4155 data_time: 0.0217 memory: 17006 grad_norm: 12.0749 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1741 loss: 1.1741 2022/07/30 11:10:04 - mmengine - INFO - Epoch(train) [163][3100/3757] lr: 2.4472e-04 eta: 7:27:53 time: 0.4063 data_time: 0.0189 memory: 17006 grad_norm: 12.1917 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0707 loss: 1.0707 2022/07/30 11:10:12 - mmengine - INFO - Epoch(train) [163][3120/3757] lr: 2.4472e-04 eta: 7:27:45 time: 0.4232 data_time: 0.0222 memory: 17006 grad_norm: 12.0171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4638 loss: 1.4638 2022/07/30 11:10:20 - mmengine - INFO - Epoch(train) [163][3140/3757] lr: 2.4472e-04 eta: 7:27:37 time: 0.4049 data_time: 0.0185 memory: 17006 grad_norm: 11.6605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0389 loss: 1.0389 2022/07/30 11:10:28 - mmengine - INFO - Epoch(train) [163][3160/3757] lr: 2.4472e-04 eta: 7:27:28 time: 0.4061 data_time: 0.0207 memory: 17006 grad_norm: 11.9128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1543 loss: 1.1543 2022/07/30 11:10:37 - mmengine - INFO - Epoch(train) [163][3180/3757] lr: 2.4472e-04 eta: 7:27:20 time: 0.4349 data_time: 0.0219 memory: 17006 grad_norm: 12.4811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1717 loss: 1.1717 2022/07/30 11:10:45 - mmengine - INFO - Epoch(train) [163][3200/3757] lr: 2.4472e-04 eta: 7:27:12 time: 0.4092 data_time: 0.0228 memory: 17006 grad_norm: 11.3206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0731 loss: 1.0731 2022/07/30 11:10:54 - mmengine - INFO - Epoch(train) [163][3220/3757] lr: 2.4472e-04 eta: 7:27:03 time: 0.4316 data_time: 0.0192 memory: 17006 grad_norm: 11.9440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4556 loss: 1.4556 2022/07/30 11:11:02 - mmengine - INFO - Epoch(train) [163][3240/3757] lr: 2.4472e-04 eta: 7:26:55 time: 0.4083 data_time: 0.0219 memory: 17006 grad_norm: 12.5538 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0542 loss: 1.0542 2022/07/30 11:11:11 - mmengine - INFO - Epoch(train) [163][3260/3757] lr: 2.4472e-04 eta: 7:26:47 time: 0.4504 data_time: 0.0189 memory: 17006 grad_norm: 12.1320 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3387 loss: 1.3387 2022/07/30 11:11:19 - mmengine - INFO - Epoch(train) [163][3280/3757] lr: 2.4472e-04 eta: 7:26:38 time: 0.4076 data_time: 0.0216 memory: 17006 grad_norm: 11.9002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1184 loss: 1.1184 2022/07/30 11:11:28 - mmengine - INFO - Epoch(train) [163][3300/3757] lr: 2.4472e-04 eta: 7:26:30 time: 0.4054 data_time: 0.0183 memory: 17006 grad_norm: 10.8640 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0551 loss: 1.0551 2022/07/30 11:11:36 - mmengine - INFO - Epoch(train) [163][3320/3757] lr: 2.4472e-04 eta: 7:26:22 time: 0.4245 data_time: 0.0227 memory: 17006 grad_norm: 12.2515 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3529 loss: 1.3529 2022/07/30 11:11:44 - mmengine - INFO - Epoch(train) [163][3340/3757] lr: 2.4472e-04 eta: 7:26:13 time: 0.4063 data_time: 0.0200 memory: 17006 grad_norm: 11.7469 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0791 loss: 1.0791 2022/07/30 11:11:52 - mmengine - INFO - Epoch(train) [163][3360/3757] lr: 2.4472e-04 eta: 7:26:05 time: 0.4105 data_time: 0.0227 memory: 17006 grad_norm: 11.6441 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1887 loss: 1.1887 2022/07/30 11:11:55 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:12:01 - mmengine - INFO - Epoch(train) [163][3380/3757] lr: 2.4472e-04 eta: 7:25:57 time: 0.4106 data_time: 0.0199 memory: 17006 grad_norm: 11.8852 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9348 loss: 0.9348 2022/07/30 11:12:09 - mmengine - INFO - Epoch(train) [163][3400/3757] lr: 2.4472e-04 eta: 7:25:48 time: 0.4058 data_time: 0.0203 memory: 17006 grad_norm: 11.9404 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2442 loss: 1.2442 2022/07/30 11:12:17 - mmengine - INFO - Epoch(train) [163][3420/3757] lr: 2.4472e-04 eta: 7:25:40 time: 0.4191 data_time: 0.0192 memory: 17006 grad_norm: 11.9389 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9257 loss: 0.9257 2022/07/30 11:12:26 - mmengine - INFO - Epoch(train) [163][3440/3757] lr: 2.4472e-04 eta: 7:25:32 time: 0.4110 data_time: 0.0233 memory: 17006 grad_norm: 12.1291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1279 loss: 1.1279 2022/07/30 11:12:34 - mmengine - INFO - Epoch(train) [163][3460/3757] lr: 2.4472e-04 eta: 7:25:23 time: 0.4420 data_time: 0.0205 memory: 17006 grad_norm: 12.1342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9886 loss: 0.9886 2022/07/30 11:12:43 - mmengine - INFO - Epoch(train) [163][3480/3757] lr: 2.4472e-04 eta: 7:25:15 time: 0.4108 data_time: 0.0221 memory: 17006 grad_norm: 11.7039 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9211 loss: 0.9211 2022/07/30 11:12:51 - mmengine - INFO - Epoch(train) [163][3500/3757] lr: 2.4472e-04 eta: 7:25:07 time: 0.4097 data_time: 0.0192 memory: 17006 grad_norm: 11.9579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4703 loss: 1.4703 2022/07/30 11:12:59 - mmengine - INFO - Epoch(train) [163][3520/3757] lr: 2.4472e-04 eta: 7:24:58 time: 0.4063 data_time: 0.0211 memory: 17006 grad_norm: 11.7881 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1855 loss: 1.1855 2022/07/30 11:13:07 - mmengine - INFO - Epoch(train) [163][3540/3757] lr: 2.4472e-04 eta: 7:24:50 time: 0.4054 data_time: 0.0192 memory: 17006 grad_norm: 12.0370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2301 loss: 1.2301 2022/07/30 11:13:16 - mmengine - INFO - Epoch(train) [163][3560/3757] lr: 2.4472e-04 eta: 7:24:42 time: 0.4185 data_time: 0.0228 memory: 17006 grad_norm: 11.3378 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.8995 loss: 0.8995 2022/07/30 11:13:24 - mmengine - INFO - Epoch(train) [163][3580/3757] lr: 2.4472e-04 eta: 7:24:33 time: 0.4218 data_time: 0.0187 memory: 17006 grad_norm: 11.8691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2629 loss: 1.2629 2022/07/30 11:13:33 - mmengine - INFO - Epoch(train) [163][3600/3757] lr: 2.4472e-04 eta: 7:24:25 time: 0.4232 data_time: 0.0234 memory: 17006 grad_norm: 12.7489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1795 loss: 1.1795 2022/07/30 11:13:41 - mmengine - INFO - Epoch(train) [163][3620/3757] lr: 2.4472e-04 eta: 7:24:17 time: 0.4207 data_time: 0.0192 memory: 17006 grad_norm: 11.9524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3800 loss: 1.3800 2022/07/30 11:13:49 - mmengine - INFO - Epoch(train) [163][3640/3757] lr: 2.4472e-04 eta: 7:24:08 time: 0.4081 data_time: 0.0223 memory: 17006 grad_norm: 11.5635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0242 loss: 1.0242 2022/07/30 11:13:58 - mmengine - INFO - Epoch(train) [163][3660/3757] lr: 2.4472e-04 eta: 7:24:00 time: 0.4200 data_time: 0.0257 memory: 17006 grad_norm: 12.3237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2678 loss: 1.2678 2022/07/30 11:14:06 - mmengine - INFO - Epoch(train) [163][3680/3757] lr: 2.4472e-04 eta: 7:23:52 time: 0.4211 data_time: 0.0227 memory: 17006 grad_norm: 11.8695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0785 loss: 1.0785 2022/07/30 11:14:14 - mmengine - INFO - Epoch(train) [163][3700/3757] lr: 2.4472e-04 eta: 7:23:43 time: 0.4139 data_time: 0.0205 memory: 17006 grad_norm: 11.7348 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0407 loss: 1.0407 2022/07/30 11:14:23 - mmengine - INFO - Epoch(train) [163][3720/3757] lr: 2.4472e-04 eta: 7:23:35 time: 0.4377 data_time: 0.0216 memory: 17006 grad_norm: 12.2654 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2102 loss: 1.2102 2022/07/30 11:14:31 - mmengine - INFO - Epoch(train) [163][3740/3757] lr: 2.4472e-04 eta: 7:23:27 time: 0.4159 data_time: 0.0226 memory: 17006 grad_norm: 12.0158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/07/30 11:14:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:14:38 - mmengine - INFO - Epoch(train) [163][3757/3757] lr: 2.4472e-04 eta: 7:23:27 time: 0.3956 data_time: 0.0208 memory: 17006 grad_norm: 11.7378 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8444 loss: 0.8444 2022/07/30 11:14:38 - mmengine - INFO - Saving checkpoint at 163 epochs 2022/07/30 11:14:52 - mmengine - INFO - Epoch(train) [164][20/3757] lr: 2.1848e-04 eta: 7:23:09 time: 0.4533 data_time: 0.0636 memory: 17006 grad_norm: 12.3510 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0998 loss: 1.0998 2022/07/30 11:15:00 - mmengine - INFO - Epoch(train) [164][40/3757] lr: 2.1848e-04 eta: 7:23:01 time: 0.4078 data_time: 0.0218 memory: 17006 grad_norm: 11.6978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0316 loss: 1.0316 2022/07/30 11:15:08 - mmengine - INFO - Epoch(train) [164][60/3757] lr: 2.1848e-04 eta: 7:22:52 time: 0.4090 data_time: 0.0194 memory: 17006 grad_norm: 11.8193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/07/30 11:15:16 - mmengine - INFO - Epoch(train) [164][80/3757] lr: 2.1848e-04 eta: 7:22:44 time: 0.4140 data_time: 0.0215 memory: 17006 grad_norm: 12.0455 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0809 loss: 1.0809 2022/07/30 11:15:25 - mmengine - INFO - Epoch(train) [164][100/3757] lr: 2.1848e-04 eta: 7:22:36 time: 0.4114 data_time: 0.0228 memory: 17006 grad_norm: 11.9559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3010 loss: 1.3010 2022/07/30 11:15:33 - mmengine - INFO - Epoch(train) [164][120/3757] lr: 2.1848e-04 eta: 7:22:27 time: 0.4333 data_time: 0.0210 memory: 17006 grad_norm: 11.4475 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0650 loss: 1.0650 2022/07/30 11:15:42 - mmengine - INFO - Epoch(train) [164][140/3757] lr: 2.1848e-04 eta: 7:22:19 time: 0.4089 data_time: 0.0220 memory: 17006 grad_norm: 12.4439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1218 loss: 1.1218 2022/07/30 11:15:50 - mmengine - INFO - Epoch(train) [164][160/3757] lr: 2.1848e-04 eta: 7:22:11 time: 0.4058 data_time: 0.0205 memory: 17006 grad_norm: 11.9269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0881 loss: 1.0881 2022/07/30 11:15:59 - mmengine - INFO - Epoch(train) [164][180/3757] lr: 2.1848e-04 eta: 7:22:03 time: 0.4539 data_time: 0.0274 memory: 17006 grad_norm: 12.3720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1220 loss: 1.1220 2022/07/30 11:16:07 - mmengine - INFO - Epoch(train) [164][200/3757] lr: 2.1848e-04 eta: 7:21:54 time: 0.4086 data_time: 0.0232 memory: 17006 grad_norm: 12.1783 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0017 loss: 1.0017 2022/07/30 11:16:15 - mmengine - INFO - Epoch(train) [164][220/3757] lr: 2.1848e-04 eta: 7:21:46 time: 0.4161 data_time: 0.0218 memory: 17006 grad_norm: 12.1283 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1930 loss: 1.1930 2022/07/30 11:16:24 - mmengine - INFO - Epoch(train) [164][240/3757] lr: 2.1848e-04 eta: 7:21:37 time: 0.4089 data_time: 0.0225 memory: 17006 grad_norm: 12.2926 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1525 loss: 1.1525 2022/07/30 11:16:32 - mmengine - INFO - Epoch(train) [164][260/3757] lr: 2.1848e-04 eta: 7:21:29 time: 0.4281 data_time: 0.0212 memory: 17006 grad_norm: 11.0811 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1064 loss: 1.1064 2022/07/30 11:16:40 - mmengine - INFO - Epoch(train) [164][280/3757] lr: 2.1848e-04 eta: 7:21:21 time: 0.4070 data_time: 0.0211 memory: 17006 grad_norm: 11.9842 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3619 loss: 1.3619 2022/07/30 11:16:48 - mmengine - INFO - Epoch(train) [164][300/3757] lr: 2.1848e-04 eta: 7:21:12 time: 0.4060 data_time: 0.0206 memory: 17006 grad_norm: 12.2306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2517 loss: 1.2517 2022/07/30 11:16:57 - mmengine - INFO - Epoch(train) [164][320/3757] lr: 2.1848e-04 eta: 7:21:04 time: 0.4178 data_time: 0.0204 memory: 17006 grad_norm: 11.2674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0413 loss: 1.0413 2022/07/30 11:17:05 - mmengine - INFO - Epoch(train) [164][340/3757] lr: 2.1848e-04 eta: 7:20:56 time: 0.4188 data_time: 0.0222 memory: 17006 grad_norm: 11.9738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1285 loss: 1.1285 2022/07/30 11:17:13 - mmengine - INFO - Epoch(train) [164][360/3757] lr: 2.1848e-04 eta: 7:20:47 time: 0.4064 data_time: 0.0203 memory: 17006 grad_norm: 12.1946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1579 loss: 1.1579 2022/07/30 11:17:22 - mmengine - INFO - Epoch(train) [164][380/3757] lr: 2.1848e-04 eta: 7:20:39 time: 0.4145 data_time: 0.0247 memory: 17006 grad_norm: 12.1628 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0985 loss: 1.0985 2022/07/30 11:17:30 - mmengine - INFO - Epoch(train) [164][400/3757] lr: 2.1848e-04 eta: 7:20:31 time: 0.4103 data_time: 0.0203 memory: 17006 grad_norm: 11.2674 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9815 loss: 0.9815 2022/07/30 11:17:38 - mmengine - INFO - Epoch(train) [164][420/3757] lr: 2.1848e-04 eta: 7:20:22 time: 0.4077 data_time: 0.0215 memory: 17006 grad_norm: 11.7022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0953 loss: 1.0953 2022/07/30 11:17:46 - mmengine - INFO - Epoch(train) [164][440/3757] lr: 2.1848e-04 eta: 7:20:14 time: 0.4132 data_time: 0.0218 memory: 17006 grad_norm: 11.8183 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1630 loss: 1.1630 2022/07/30 11:17:55 - mmengine - INFO - Epoch(train) [164][460/3757] lr: 2.1848e-04 eta: 7:20:06 time: 0.4235 data_time: 0.0213 memory: 17006 grad_norm: 11.9049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0554 loss: 1.0554 2022/07/30 11:18:04 - mmengine - INFO - Epoch(train) [164][480/3757] lr: 2.1848e-04 eta: 7:19:57 time: 0.4278 data_time: 0.0233 memory: 17006 grad_norm: 12.6271 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4647 loss: 1.4647 2022/07/30 11:18:12 - mmengine - INFO - Epoch(train) [164][500/3757] lr: 2.1848e-04 eta: 7:19:49 time: 0.4198 data_time: 0.0206 memory: 17006 grad_norm: 11.7387 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2243 loss: 1.2243 2022/07/30 11:18:20 - mmengine - INFO - Epoch(train) [164][520/3757] lr: 2.1848e-04 eta: 7:19:41 time: 0.4135 data_time: 0.0215 memory: 17006 grad_norm: 12.1287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1458 loss: 1.1458 2022/07/30 11:18:29 - mmengine - INFO - Epoch(train) [164][540/3757] lr: 2.1848e-04 eta: 7:19:32 time: 0.4115 data_time: 0.0197 memory: 17006 grad_norm: 11.8375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1707 loss: 1.1707 2022/07/30 11:18:37 - mmengine - INFO - Epoch(train) [164][560/3757] lr: 2.1848e-04 eta: 7:19:24 time: 0.4062 data_time: 0.0205 memory: 17006 grad_norm: 11.6805 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1107 loss: 1.1107 2022/07/30 11:18:46 - mmengine - INFO - Epoch(train) [164][580/3757] lr: 2.1848e-04 eta: 7:19:16 time: 0.4623 data_time: 0.0233 memory: 17006 grad_norm: 12.3409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0164 loss: 1.0164 2022/07/30 11:18:54 - mmengine - INFO - Epoch(train) [164][600/3757] lr: 2.1848e-04 eta: 7:19:08 time: 0.4071 data_time: 0.0217 memory: 17006 grad_norm: 12.0289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2022 loss: 1.2022 2022/07/30 11:18:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:19:03 - mmengine - INFO - Epoch(train) [164][620/3757] lr: 2.1848e-04 eta: 7:18:59 time: 0.4460 data_time: 0.0240 memory: 17006 grad_norm: 12.3794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4627 loss: 1.4627 2022/07/30 11:19:11 - mmengine - INFO - Epoch(train) [164][640/3757] lr: 2.1848e-04 eta: 7:18:51 time: 0.4078 data_time: 0.0220 memory: 17006 grad_norm: 12.2127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1410 loss: 1.1410 2022/07/30 11:19:19 - mmengine - INFO - Epoch(train) [164][660/3757] lr: 2.1848e-04 eta: 7:18:43 time: 0.4065 data_time: 0.0223 memory: 17006 grad_norm: 12.3200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1723 loss: 1.1723 2022/07/30 11:19:28 - mmengine - INFO - Epoch(train) [164][680/3757] lr: 2.1848e-04 eta: 7:18:34 time: 0.4325 data_time: 0.0232 memory: 17006 grad_norm: 11.9266 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1922 loss: 1.1922 2022/07/30 11:19:36 - mmengine - INFO - Epoch(train) [164][700/3757] lr: 2.1848e-04 eta: 7:18:26 time: 0.4052 data_time: 0.0202 memory: 17006 grad_norm: 11.7566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0124 loss: 1.0124 2022/07/30 11:19:45 - mmengine - INFO - Epoch(train) [164][720/3757] lr: 2.1848e-04 eta: 7:18:18 time: 0.4302 data_time: 0.0235 memory: 17006 grad_norm: 12.1388 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0772 loss: 1.0772 2022/07/30 11:19:53 - mmengine - INFO - Epoch(train) [164][740/3757] lr: 2.1848e-04 eta: 7:18:09 time: 0.4070 data_time: 0.0217 memory: 17006 grad_norm: 12.2022 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/07/30 11:20:02 - mmengine - INFO - Epoch(train) [164][760/3757] lr: 2.1848e-04 eta: 7:18:01 time: 0.4373 data_time: 0.0235 memory: 17006 grad_norm: 11.9671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4390 loss: 1.4390 2022/07/30 11:20:10 - mmengine - INFO - Epoch(train) [164][780/3757] lr: 2.1848e-04 eta: 7:17:53 time: 0.4075 data_time: 0.0211 memory: 17006 grad_norm: 12.3405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1658 loss: 1.1658 2022/07/30 11:20:18 - mmengine - INFO - Epoch(train) [164][800/3757] lr: 2.1848e-04 eta: 7:17:44 time: 0.4056 data_time: 0.0202 memory: 17006 grad_norm: 12.5251 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4695 loss: 1.4695 2022/07/30 11:20:27 - mmengine - INFO - Epoch(train) [164][820/3757] lr: 2.1848e-04 eta: 7:17:36 time: 0.4302 data_time: 0.0230 memory: 17006 grad_norm: 12.2798 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1669 loss: 1.1669 2022/07/30 11:20:35 - mmengine - INFO - Epoch(train) [164][840/3757] lr: 2.1848e-04 eta: 7:17:28 time: 0.4070 data_time: 0.0216 memory: 17006 grad_norm: 12.0989 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1479 loss: 1.1479 2022/07/30 11:20:44 - mmengine - INFO - Epoch(train) [164][860/3757] lr: 2.1848e-04 eta: 7:17:20 time: 0.4308 data_time: 0.0227 memory: 17006 grad_norm: 11.8072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2575 loss: 1.2575 2022/07/30 11:20:52 - mmengine - INFO - Epoch(train) [164][880/3757] lr: 2.1848e-04 eta: 7:17:11 time: 0.4060 data_time: 0.0207 memory: 17006 grad_norm: 11.6970 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2108 loss: 1.2108 2022/07/30 11:21:00 - mmengine - INFO - Epoch(train) [164][900/3757] lr: 2.1848e-04 eta: 7:17:03 time: 0.4081 data_time: 0.0221 memory: 17006 grad_norm: 11.6701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1301 loss: 1.1301 2022/07/30 11:21:08 - mmengine - INFO - Epoch(train) [164][920/3757] lr: 2.1848e-04 eta: 7:16:55 time: 0.4240 data_time: 0.0228 memory: 17006 grad_norm: 12.1998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1722 loss: 1.1722 2022/07/30 11:21:17 - mmengine - INFO - Epoch(train) [164][940/3757] lr: 2.1848e-04 eta: 7:16:46 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 11.9038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/07/30 11:21:26 - mmengine - INFO - Epoch(train) [164][960/3757] lr: 2.1848e-04 eta: 7:16:38 time: 0.4804 data_time: 0.0238 memory: 17006 grad_norm: 12.0605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/07/30 11:21:34 - mmengine - INFO - Epoch(train) [164][980/3757] lr: 2.1848e-04 eta: 7:16:30 time: 0.4070 data_time: 0.0222 memory: 17006 grad_norm: 12.3267 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0424 loss: 1.0424 2022/07/30 11:21:43 - mmengine - INFO - Epoch(train) [164][1000/3757] lr: 2.1848e-04 eta: 7:16:22 time: 0.4332 data_time: 0.0231 memory: 17006 grad_norm: 12.1282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1904 loss: 1.1904 2022/07/30 11:21:51 - mmengine - INFO - Epoch(train) [164][1020/3757] lr: 2.1848e-04 eta: 7:16:13 time: 0.4068 data_time: 0.0208 memory: 17006 grad_norm: 11.9336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2522 loss: 1.2522 2022/07/30 11:21:59 - mmengine - INFO - Epoch(train) [164][1040/3757] lr: 2.1848e-04 eta: 7:16:05 time: 0.4074 data_time: 0.0213 memory: 17006 grad_norm: 11.3688 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0600 loss: 1.0600 2022/07/30 11:22:08 - mmengine - INFO - Epoch(train) [164][1060/3757] lr: 2.1848e-04 eta: 7:15:56 time: 0.4118 data_time: 0.0220 memory: 17006 grad_norm: 12.0156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2218 loss: 1.2218 2022/07/30 11:22:16 - mmengine - INFO - Epoch(train) [164][1080/3757] lr: 2.1848e-04 eta: 7:15:48 time: 0.4150 data_time: 0.0211 memory: 17006 grad_norm: 11.6816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2450 loss: 1.2450 2022/07/30 11:22:24 - mmengine - INFO - Epoch(train) [164][1100/3757] lr: 2.1848e-04 eta: 7:15:40 time: 0.4172 data_time: 0.0230 memory: 17006 grad_norm: 11.7328 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2503 loss: 1.2503 2022/07/30 11:22:33 - mmengine - INFO - Epoch(train) [164][1120/3757] lr: 2.1848e-04 eta: 7:15:31 time: 0.4101 data_time: 0.0221 memory: 17006 grad_norm: 11.6175 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9044 loss: 0.9044 2022/07/30 11:22:41 - mmengine - INFO - Epoch(train) [164][1140/3757] lr: 2.1848e-04 eta: 7:15:23 time: 0.4140 data_time: 0.0230 memory: 17006 grad_norm: 11.8870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9123 loss: 0.9123 2022/07/30 11:22:49 - mmengine - INFO - Epoch(train) [164][1160/3757] lr: 2.1848e-04 eta: 7:15:15 time: 0.4070 data_time: 0.0215 memory: 17006 grad_norm: 11.6844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3536 loss: 1.3536 2022/07/30 11:22:57 - mmengine - INFO - Epoch(train) [164][1180/3757] lr: 2.1848e-04 eta: 7:15:06 time: 0.4095 data_time: 0.0215 memory: 17006 grad_norm: 12.5209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9432 loss: 0.9432 2022/07/30 11:23:06 - mmengine - INFO - Epoch(train) [164][1200/3757] lr: 2.1848e-04 eta: 7:14:58 time: 0.4207 data_time: 0.0222 memory: 17006 grad_norm: 11.9378 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0525 loss: 1.0525 2022/07/30 11:23:14 - mmengine - INFO - Epoch(train) [164][1220/3757] lr: 2.1848e-04 eta: 7:14:50 time: 0.4127 data_time: 0.0205 memory: 17006 grad_norm: 12.7328 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3031 loss: 1.3031 2022/07/30 11:23:22 - mmengine - INFO - Epoch(train) [164][1240/3757] lr: 2.1848e-04 eta: 7:14:41 time: 0.4094 data_time: 0.0221 memory: 17006 grad_norm: 12.2780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/07/30 11:23:31 - mmengine - INFO - Epoch(train) [164][1260/3757] lr: 2.1848e-04 eta: 7:14:33 time: 0.4128 data_time: 0.0217 memory: 17006 grad_norm: 11.8939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/07/30 11:23:39 - mmengine - INFO - Epoch(train) [164][1280/3757] lr: 2.1848e-04 eta: 7:14:25 time: 0.4350 data_time: 0.0223 memory: 17006 grad_norm: 11.8444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0796 loss: 1.0796 2022/07/30 11:23:48 - mmengine - INFO - Epoch(train) [164][1300/3757] lr: 2.1848e-04 eta: 7:14:16 time: 0.4082 data_time: 0.0212 memory: 17006 grad_norm: 12.1742 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3236 loss: 1.3236 2022/07/30 11:23:56 - mmengine - INFO - Epoch(train) [164][1320/3757] lr: 2.1848e-04 eta: 7:14:08 time: 0.4292 data_time: 0.0215 memory: 17006 grad_norm: 11.5365 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9980 loss: 0.9980 2022/07/30 11:24:04 - mmengine - INFO - Epoch(train) [164][1340/3757] lr: 2.1848e-04 eta: 7:14:00 time: 0.4081 data_time: 0.0225 memory: 17006 grad_norm: 11.4583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/07/30 11:24:13 - mmengine - INFO - Epoch(train) [164][1360/3757] lr: 2.1848e-04 eta: 7:13:52 time: 0.4377 data_time: 0.0221 memory: 17006 grad_norm: 11.7470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0871 loss: 1.0871 2022/07/30 11:24:21 - mmengine - INFO - Epoch(train) [164][1380/3757] lr: 2.1848e-04 eta: 7:13:43 time: 0.4080 data_time: 0.0214 memory: 17006 grad_norm: 12.5310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1158 loss: 1.1158 2022/07/30 11:24:29 - mmengine - INFO - Epoch(train) [164][1400/3757] lr: 2.1848e-04 eta: 7:13:35 time: 0.4068 data_time: 0.0213 memory: 17006 grad_norm: 12.4569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9720 loss: 0.9720 2022/07/30 11:24:38 - mmengine - INFO - Epoch(train) [164][1420/3757] lr: 2.1848e-04 eta: 7:13:26 time: 0.4207 data_time: 0.0212 memory: 17006 grad_norm: 11.8691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/07/30 11:24:46 - mmengine - INFO - Epoch(train) [164][1440/3757] lr: 2.1848e-04 eta: 7:13:18 time: 0.4137 data_time: 0.0218 memory: 17006 grad_norm: 11.5331 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1853 loss: 1.1853 2022/07/30 11:24:55 - mmengine - INFO - Epoch(train) [164][1460/3757] lr: 2.1848e-04 eta: 7:13:10 time: 0.4573 data_time: 0.0217 memory: 17006 grad_norm: 12.1300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/07/30 11:25:04 - mmengine - INFO - Epoch(train) [164][1480/3757] lr: 2.1848e-04 eta: 7:13:02 time: 0.4079 data_time: 0.0212 memory: 17006 grad_norm: 12.0844 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1376 loss: 1.1376 2022/07/30 11:25:12 - mmengine - INFO - Epoch(train) [164][1500/3757] lr: 2.1848e-04 eta: 7:12:53 time: 0.4183 data_time: 0.0201 memory: 17006 grad_norm: 12.0161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2387 loss: 1.2387 2022/07/30 11:25:20 - mmengine - INFO - Epoch(train) [164][1520/3757] lr: 2.1848e-04 eta: 7:12:45 time: 0.4086 data_time: 0.0220 memory: 17006 grad_norm: 12.0919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1039 loss: 1.1039 2022/07/30 11:25:28 - mmengine - INFO - Epoch(train) [164][1540/3757] lr: 2.1848e-04 eta: 7:12:37 time: 0.4076 data_time: 0.0217 memory: 17006 grad_norm: 12.5246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1981 loss: 1.1981 2022/07/30 11:25:37 - mmengine - INFO - Epoch(train) [164][1560/3757] lr: 2.1848e-04 eta: 7:12:28 time: 0.4124 data_time: 0.0222 memory: 17006 grad_norm: 12.3278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1774 loss: 1.1774 2022/07/30 11:25:45 - mmengine - INFO - Epoch(train) [164][1580/3757] lr: 2.1848e-04 eta: 7:12:20 time: 0.4122 data_time: 0.0214 memory: 17006 grad_norm: 12.7882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3607 loss: 1.3607 2022/07/30 11:25:53 - mmengine - INFO - Epoch(train) [164][1600/3757] lr: 2.1848e-04 eta: 7:12:12 time: 0.4141 data_time: 0.0220 memory: 17006 grad_norm: 12.0150 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2682 loss: 1.2682 2022/07/30 11:25:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:26:01 - mmengine - INFO - Epoch(train) [164][1620/3757] lr: 2.1848e-04 eta: 7:12:03 time: 0.4095 data_time: 0.0205 memory: 17006 grad_norm: 12.0532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9914 loss: 0.9914 2022/07/30 11:26:10 - mmengine - INFO - Epoch(train) [164][1640/3757] lr: 2.1848e-04 eta: 7:11:55 time: 0.4080 data_time: 0.0213 memory: 17006 grad_norm: 12.1043 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8680 loss: 0.8680 2022/07/30 11:26:18 - mmengine - INFO - Epoch(train) [164][1660/3757] lr: 2.1848e-04 eta: 7:11:46 time: 0.4141 data_time: 0.0220 memory: 17006 grad_norm: 11.4851 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9768 loss: 0.9768 2022/07/30 11:26:27 - mmengine - INFO - Epoch(train) [164][1680/3757] lr: 2.1848e-04 eta: 7:11:38 time: 0.4286 data_time: 0.0213 memory: 17006 grad_norm: 12.0761 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2726 loss: 1.2726 2022/07/30 11:26:35 - mmengine - INFO - Epoch(train) [164][1700/3757] lr: 2.1848e-04 eta: 7:11:30 time: 0.4132 data_time: 0.0217 memory: 17006 grad_norm: 12.3804 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9819 loss: 0.9819 2022/07/30 11:26:43 - mmengine - INFO - Epoch(train) [164][1720/3757] lr: 2.1848e-04 eta: 7:11:21 time: 0.4073 data_time: 0.0198 memory: 17006 grad_norm: 12.4046 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2970 loss: 1.2970 2022/07/30 11:26:52 - mmengine - INFO - Epoch(train) [164][1740/3757] lr: 2.1848e-04 eta: 7:11:13 time: 0.4226 data_time: 0.0234 memory: 17006 grad_norm: 11.8734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1685 loss: 1.1685 2022/07/30 11:27:00 - mmengine - INFO - Epoch(train) [164][1760/3757] lr: 2.1848e-04 eta: 7:11:05 time: 0.4049 data_time: 0.0195 memory: 17006 grad_norm: 12.5641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9445 loss: 0.9445 2022/07/30 11:27:08 - mmengine - INFO - Epoch(train) [164][1780/3757] lr: 2.1848e-04 eta: 7:10:56 time: 0.4172 data_time: 0.0212 memory: 17006 grad_norm: 12.1622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3904 loss: 1.3904 2022/07/30 11:27:17 - mmengine - INFO - Epoch(train) [164][1800/3757] lr: 2.1848e-04 eta: 7:10:48 time: 0.4284 data_time: 0.0233 memory: 17006 grad_norm: 11.6441 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9304 loss: 0.9304 2022/07/30 11:27:25 - mmengine - INFO - Epoch(train) [164][1820/3757] lr: 2.1848e-04 eta: 7:10:40 time: 0.4070 data_time: 0.0200 memory: 17006 grad_norm: 12.2373 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0387 loss: 1.0387 2022/07/30 11:27:33 - mmengine - INFO - Epoch(train) [164][1840/3757] lr: 2.1848e-04 eta: 7:10:31 time: 0.4149 data_time: 0.0241 memory: 17006 grad_norm: 12.6615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1848 loss: 1.1848 2022/07/30 11:27:41 - mmengine - INFO - Epoch(train) [164][1860/3757] lr: 2.1848e-04 eta: 7:10:23 time: 0.4161 data_time: 0.0221 memory: 17006 grad_norm: 11.6881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1480 loss: 1.1480 2022/07/30 11:27:50 - mmengine - INFO - Epoch(train) [164][1880/3757] lr: 2.1848e-04 eta: 7:10:15 time: 0.4110 data_time: 0.0236 memory: 17006 grad_norm: 12.1790 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1999 loss: 1.1999 2022/07/30 11:27:58 - mmengine - INFO - Epoch(train) [164][1900/3757] lr: 2.1848e-04 eta: 7:10:06 time: 0.4099 data_time: 0.0196 memory: 17006 grad_norm: 11.8839 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4059 loss: 1.4059 2022/07/30 11:28:06 - mmengine - INFO - Epoch(train) [164][1920/3757] lr: 2.1848e-04 eta: 7:09:58 time: 0.4233 data_time: 0.0218 memory: 17006 grad_norm: 11.6896 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2086 loss: 1.2086 2022/07/30 11:28:15 - mmengine - INFO - Epoch(train) [164][1940/3757] lr: 2.1848e-04 eta: 7:09:50 time: 0.4101 data_time: 0.0217 memory: 17006 grad_norm: 12.2936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4107 loss: 1.4107 2022/07/30 11:28:24 - mmengine - INFO - Epoch(train) [164][1960/3757] lr: 2.1848e-04 eta: 7:09:42 time: 0.4417 data_time: 0.0221 memory: 17006 grad_norm: 12.4298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1186 loss: 1.1186 2022/07/30 11:28:32 - mmengine - INFO - Epoch(train) [164][1980/3757] lr: 2.1848e-04 eta: 7:09:33 time: 0.4060 data_time: 0.0210 memory: 17006 grad_norm: 12.4335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1723 loss: 1.1723 2022/07/30 11:28:40 - mmengine - INFO - Epoch(train) [164][2000/3757] lr: 2.1848e-04 eta: 7:09:25 time: 0.4065 data_time: 0.0208 memory: 17006 grad_norm: 12.7242 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3038 loss: 1.3038 2022/07/30 11:28:48 - mmengine - INFO - Epoch(train) [164][2020/3757] lr: 2.1848e-04 eta: 7:09:16 time: 0.4121 data_time: 0.0227 memory: 17006 grad_norm: 12.2622 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1016 loss: 1.1016 2022/07/30 11:28:56 - mmengine - INFO - Epoch(train) [164][2040/3757] lr: 2.1848e-04 eta: 7:09:08 time: 0.4133 data_time: 0.0226 memory: 17006 grad_norm: 11.9347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2656 loss: 1.2656 2022/07/30 11:29:05 - mmengine - INFO - Epoch(train) [164][2060/3757] lr: 2.1848e-04 eta: 7:09:00 time: 0.4124 data_time: 0.0221 memory: 17006 grad_norm: 11.9043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0271 loss: 1.0271 2022/07/30 11:29:13 - mmengine - INFO - Epoch(train) [164][2080/3757] lr: 2.1848e-04 eta: 7:08:51 time: 0.4088 data_time: 0.0214 memory: 17006 grad_norm: 12.6379 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/07/30 11:29:21 - mmengine - INFO - Epoch(train) [164][2100/3757] lr: 2.1848e-04 eta: 7:08:43 time: 0.4064 data_time: 0.0205 memory: 17006 grad_norm: 12.2145 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1505 loss: 1.1505 2022/07/30 11:29:30 - mmengine - INFO - Epoch(train) [164][2120/3757] lr: 2.1848e-04 eta: 7:08:35 time: 0.4390 data_time: 0.0214 memory: 17006 grad_norm: 11.7767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0463 loss: 1.0463 2022/07/30 11:29:38 - mmengine - INFO - Epoch(train) [164][2140/3757] lr: 2.1848e-04 eta: 7:08:26 time: 0.4099 data_time: 0.0210 memory: 17006 grad_norm: 11.6076 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1068 loss: 1.1068 2022/07/30 11:29:47 - mmengine - INFO - Epoch(train) [164][2160/3757] lr: 2.1848e-04 eta: 7:08:18 time: 0.4459 data_time: 0.0216 memory: 17006 grad_norm: 12.3722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1298 loss: 1.1298 2022/07/30 11:29:55 - mmengine - INFO - Epoch(train) [164][2180/3757] lr: 2.1848e-04 eta: 7:08:10 time: 0.4072 data_time: 0.0216 memory: 17006 grad_norm: 11.6957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1002 loss: 1.1002 2022/07/30 11:30:04 - mmengine - INFO - Epoch(train) [164][2200/3757] lr: 2.1848e-04 eta: 7:08:02 time: 0.4359 data_time: 0.0213 memory: 17006 grad_norm: 12.1268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1053 loss: 1.1053 2022/07/30 11:30:12 - mmengine - INFO - Epoch(train) [164][2220/3757] lr: 2.1848e-04 eta: 7:07:53 time: 0.4066 data_time: 0.0221 memory: 17006 grad_norm: 12.3609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1581 loss: 1.1581 2022/07/30 11:30:20 - mmengine - INFO - Epoch(train) [164][2240/3757] lr: 2.1848e-04 eta: 7:07:45 time: 0.4063 data_time: 0.0202 memory: 17006 grad_norm: 12.4630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/07/30 11:30:29 - mmengine - INFO - Epoch(train) [164][2260/3757] lr: 2.1848e-04 eta: 7:07:36 time: 0.4096 data_time: 0.0214 memory: 17006 grad_norm: 12.4643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2405 loss: 1.2405 2022/07/30 11:30:37 - mmengine - INFO - Epoch(train) [164][2280/3757] lr: 2.1848e-04 eta: 7:07:28 time: 0.4207 data_time: 0.0223 memory: 17006 grad_norm: 12.2402 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9991 loss: 0.9991 2022/07/30 11:30:45 - mmengine - INFO - Epoch(train) [164][2300/3757] lr: 2.1848e-04 eta: 7:07:20 time: 0.4106 data_time: 0.0216 memory: 17006 grad_norm: 12.1356 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0745 loss: 1.0745 2022/07/30 11:30:54 - mmengine - INFO - Epoch(train) [164][2320/3757] lr: 2.1848e-04 eta: 7:07:11 time: 0.4145 data_time: 0.0198 memory: 17006 grad_norm: 11.9453 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9611 loss: 0.9611 2022/07/30 11:31:02 - mmengine - INFO - Epoch(train) [164][2340/3757] lr: 2.1848e-04 eta: 7:07:03 time: 0.4111 data_time: 0.0232 memory: 17006 grad_norm: 12.4982 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3284 loss: 1.3284 2022/07/30 11:31:10 - mmengine - INFO - Epoch(train) [164][2360/3757] lr: 2.1848e-04 eta: 7:06:55 time: 0.4057 data_time: 0.0212 memory: 17006 grad_norm: 12.4625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2374 loss: 1.2374 2022/07/30 11:31:18 - mmengine - INFO - Epoch(train) [164][2380/3757] lr: 2.1848e-04 eta: 7:06:46 time: 0.4116 data_time: 0.0200 memory: 17006 grad_norm: 11.7151 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0399 loss: 1.0399 2022/07/30 11:31:26 - mmengine - INFO - Epoch(train) [164][2400/3757] lr: 2.1848e-04 eta: 7:06:38 time: 0.4139 data_time: 0.0228 memory: 17006 grad_norm: 11.8894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0899 loss: 1.0899 2022/07/30 11:31:35 - mmengine - INFO - Epoch(train) [164][2420/3757] lr: 2.1848e-04 eta: 7:06:30 time: 0.4150 data_time: 0.0207 memory: 17006 grad_norm: 11.6452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9691 loss: 0.9691 2022/07/30 11:31:43 - mmengine - INFO - Epoch(train) [164][2440/3757] lr: 2.1848e-04 eta: 7:06:21 time: 0.4100 data_time: 0.0222 memory: 17006 grad_norm: 12.0049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0925 loss: 1.0925 2022/07/30 11:31:51 - mmengine - INFO - Epoch(train) [164][2460/3757] lr: 2.1848e-04 eta: 7:06:13 time: 0.4073 data_time: 0.0223 memory: 17006 grad_norm: 12.0154 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/07/30 11:31:59 - mmengine - INFO - Epoch(train) [164][2480/3757] lr: 2.1848e-04 eta: 7:06:05 time: 0.4113 data_time: 0.0218 memory: 17006 grad_norm: 11.9518 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4804 loss: 1.4804 2022/07/30 11:32:08 - mmengine - INFO - Epoch(train) [164][2500/3757] lr: 2.1848e-04 eta: 7:05:56 time: 0.4129 data_time: 0.0226 memory: 17006 grad_norm: 12.5086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3395 loss: 1.3395 2022/07/30 11:32:16 - mmengine - INFO - Epoch(train) [164][2520/3757] lr: 2.1848e-04 eta: 7:05:48 time: 0.4171 data_time: 0.0206 memory: 17006 grad_norm: 11.7327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1551 loss: 1.1551 2022/07/30 11:32:24 - mmengine - INFO - Epoch(train) [164][2540/3757] lr: 2.1848e-04 eta: 7:05:39 time: 0.4089 data_time: 0.0215 memory: 17006 grad_norm: 12.0235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1196 loss: 1.1196 2022/07/30 11:32:33 - mmengine - INFO - Epoch(train) [164][2560/3757] lr: 2.1848e-04 eta: 7:05:31 time: 0.4123 data_time: 0.0201 memory: 17006 grad_norm: 11.7566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1562 loss: 1.1562 2022/07/30 11:32:41 - mmengine - INFO - Epoch(train) [164][2580/3757] lr: 2.1848e-04 eta: 7:05:23 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 12.4462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2746 loss: 1.2746 2022/07/30 11:32:49 - mmengine - INFO - Epoch(train) [164][2600/3757] lr: 2.1848e-04 eta: 7:05:14 time: 0.4102 data_time: 0.0223 memory: 17006 grad_norm: 12.2648 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2470 loss: 1.2470 2022/07/30 11:32:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:32:57 - mmengine - INFO - Epoch(train) [164][2620/3757] lr: 2.1848e-04 eta: 7:05:06 time: 0.4178 data_time: 0.0217 memory: 17006 grad_norm: 12.8179 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3452 loss: 1.3452 2022/07/30 11:33:06 - mmengine - INFO - Epoch(train) [164][2640/3757] lr: 2.1848e-04 eta: 7:04:58 time: 0.4095 data_time: 0.0217 memory: 17006 grad_norm: 12.3057 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0598 loss: 1.0598 2022/07/30 11:33:14 - mmengine - INFO - Epoch(train) [164][2660/3757] lr: 2.1848e-04 eta: 7:04:49 time: 0.4149 data_time: 0.0210 memory: 17006 grad_norm: 11.6959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1046 loss: 1.1046 2022/07/30 11:33:22 - mmengine - INFO - Epoch(train) [164][2680/3757] lr: 2.1848e-04 eta: 7:04:41 time: 0.4071 data_time: 0.0222 memory: 17006 grad_norm: 12.3720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1728 loss: 1.1728 2022/07/30 11:33:30 - mmengine - INFO - Epoch(train) [164][2700/3757] lr: 2.1848e-04 eta: 7:04:33 time: 0.4059 data_time: 0.0206 memory: 17006 grad_norm: 12.2870 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0004 loss: 1.0004 2022/07/30 11:33:39 - mmengine - INFO - Epoch(train) [164][2720/3757] lr: 2.1848e-04 eta: 7:04:24 time: 0.4209 data_time: 0.0213 memory: 17006 grad_norm: 11.4773 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0424 loss: 1.0424 2022/07/30 11:33:47 - mmengine - INFO - Epoch(train) [164][2740/3757] lr: 2.1848e-04 eta: 7:04:16 time: 0.4110 data_time: 0.0225 memory: 17006 grad_norm: 11.3112 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1154 loss: 1.1154 2022/07/30 11:33:55 - mmengine - INFO - Epoch(train) [164][2760/3757] lr: 2.1848e-04 eta: 7:04:08 time: 0.4224 data_time: 0.0209 memory: 17006 grad_norm: 11.9749 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/07/30 11:34:04 - mmengine - INFO - Epoch(train) [164][2780/3757] lr: 2.1848e-04 eta: 7:03:59 time: 0.4090 data_time: 0.0225 memory: 17006 grad_norm: 12.1760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0030 loss: 1.0030 2022/07/30 11:34:12 - mmengine - INFO - Epoch(train) [164][2800/3757] lr: 2.1848e-04 eta: 7:03:51 time: 0.4120 data_time: 0.0213 memory: 17006 grad_norm: 11.6081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1213 loss: 1.1213 2022/07/30 11:34:20 - mmengine - INFO - Epoch(train) [164][2820/3757] lr: 2.1848e-04 eta: 7:03:42 time: 0.4069 data_time: 0.0204 memory: 17006 grad_norm: 11.7533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1279 loss: 1.1279 2022/07/30 11:34:28 - mmengine - INFO - Epoch(train) [164][2840/3757] lr: 2.1848e-04 eta: 7:03:34 time: 0.4087 data_time: 0.0206 memory: 17006 grad_norm: 11.8294 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/07/30 11:34:37 - mmengine - INFO - Epoch(train) [164][2860/3757] lr: 2.1848e-04 eta: 7:03:26 time: 0.4206 data_time: 0.0212 memory: 17006 grad_norm: 11.4148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2515 loss: 1.2515 2022/07/30 11:34:45 - mmengine - INFO - Epoch(train) [164][2880/3757] lr: 2.1848e-04 eta: 7:03:17 time: 0.4085 data_time: 0.0223 memory: 17006 grad_norm: 11.9104 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0734 loss: 1.0734 2022/07/30 11:34:53 - mmengine - INFO - Epoch(train) [164][2900/3757] lr: 2.1848e-04 eta: 7:03:09 time: 0.4077 data_time: 0.0212 memory: 17006 grad_norm: 11.9514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3617 loss: 1.3617 2022/07/30 11:35:01 - mmengine - INFO - Epoch(train) [164][2920/3757] lr: 2.1848e-04 eta: 7:03:01 time: 0.4054 data_time: 0.0215 memory: 17006 grad_norm: 12.3177 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/07/30 11:35:10 - mmengine - INFO - Epoch(train) [164][2940/3757] lr: 2.1848e-04 eta: 7:02:52 time: 0.4111 data_time: 0.0224 memory: 17006 grad_norm: 11.8583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2086 loss: 1.2086 2022/07/30 11:35:18 - mmengine - INFO - Epoch(train) [164][2960/3757] lr: 2.1848e-04 eta: 7:02:44 time: 0.4088 data_time: 0.0230 memory: 17006 grad_norm: 11.2592 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2268 loss: 1.2268 2022/07/30 11:35:26 - mmengine - INFO - Epoch(train) [164][2980/3757] lr: 2.1848e-04 eta: 7:02:35 time: 0.4144 data_time: 0.0220 memory: 17006 grad_norm: 12.6692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0945 loss: 1.0945 2022/07/30 11:35:34 - mmengine - INFO - Epoch(train) [164][3000/3757] lr: 2.1848e-04 eta: 7:02:27 time: 0.4117 data_time: 0.0218 memory: 17006 grad_norm: 11.9743 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2508 loss: 1.2508 2022/07/30 11:35:43 - mmengine - INFO - Epoch(train) [164][3020/3757] lr: 2.1848e-04 eta: 7:02:19 time: 0.4134 data_time: 0.0204 memory: 17006 grad_norm: 12.2408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1307 loss: 1.1307 2022/07/30 11:35:51 - mmengine - INFO - Epoch(train) [164][3040/3757] lr: 2.1848e-04 eta: 7:02:10 time: 0.4078 data_time: 0.0206 memory: 17006 grad_norm: 12.5176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2346 loss: 1.2346 2022/07/30 11:35:59 - mmengine - INFO - Epoch(train) [164][3060/3757] lr: 2.1848e-04 eta: 7:02:02 time: 0.4071 data_time: 0.0207 memory: 17006 grad_norm: 12.1018 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1465 loss: 1.1465 2022/07/30 11:36:07 - mmengine - INFO - Epoch(train) [164][3080/3757] lr: 2.1848e-04 eta: 7:01:54 time: 0.4119 data_time: 0.0221 memory: 17006 grad_norm: 11.9880 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2331 loss: 1.2331 2022/07/30 11:36:15 - mmengine - INFO - Epoch(train) [164][3100/3757] lr: 2.1848e-04 eta: 7:01:45 time: 0.4068 data_time: 0.0212 memory: 17006 grad_norm: 11.1581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0472 loss: 1.0472 2022/07/30 11:36:24 - mmengine - INFO - Epoch(train) [164][3120/3757] lr: 2.1848e-04 eta: 7:01:37 time: 0.4208 data_time: 0.0216 memory: 17006 grad_norm: 12.5513 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1091 loss: 1.1091 2022/07/30 11:36:32 - mmengine - INFO - Epoch(train) [164][3140/3757] lr: 2.1848e-04 eta: 7:01:29 time: 0.4062 data_time: 0.0215 memory: 17006 grad_norm: 11.6796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/07/30 11:36:40 - mmengine - INFO - Epoch(train) [164][3160/3757] lr: 2.1848e-04 eta: 7:01:20 time: 0.4077 data_time: 0.0225 memory: 17006 grad_norm: 12.0471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9152 loss: 0.9152 2022/07/30 11:36:49 - mmengine - INFO - Epoch(train) [164][3180/3757] lr: 2.1848e-04 eta: 7:01:12 time: 0.4126 data_time: 0.0212 memory: 17006 grad_norm: 12.3200 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0907 loss: 1.0907 2022/07/30 11:36:57 - mmengine - INFO - Epoch(train) [164][3200/3757] lr: 2.1848e-04 eta: 7:01:03 time: 0.4090 data_time: 0.0221 memory: 17006 grad_norm: 12.2042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1694 loss: 1.1694 2022/07/30 11:37:05 - mmengine - INFO - Epoch(train) [164][3220/3757] lr: 2.1848e-04 eta: 7:00:55 time: 0.4230 data_time: 0.0232 memory: 17006 grad_norm: 12.2101 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3097 loss: 1.3097 2022/07/30 11:37:13 - mmengine - INFO - Epoch(train) [164][3240/3757] lr: 2.1848e-04 eta: 7:00:47 time: 0.4069 data_time: 0.0210 memory: 17006 grad_norm: 11.7538 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1477 loss: 1.1477 2022/07/30 11:37:22 - mmengine - INFO - Epoch(train) [164][3260/3757] lr: 2.1848e-04 eta: 7:00:38 time: 0.4067 data_time: 0.0212 memory: 17006 grad_norm: 11.6498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9889 loss: 0.9889 2022/07/30 11:37:30 - mmengine - INFO - Epoch(train) [164][3280/3757] lr: 2.1848e-04 eta: 7:00:30 time: 0.4390 data_time: 0.0224 memory: 17006 grad_norm: 11.9009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2972 loss: 1.2972 2022/07/30 11:37:38 - mmengine - INFO - Epoch(train) [164][3300/3757] lr: 2.1848e-04 eta: 7:00:22 time: 0.4055 data_time: 0.0209 memory: 17006 grad_norm: 12.0054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9603 loss: 0.9603 2022/07/30 11:37:47 - mmengine - INFO - Epoch(train) [164][3320/3757] lr: 2.1848e-04 eta: 7:00:13 time: 0.4082 data_time: 0.0225 memory: 17006 grad_norm: 11.8192 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1314 loss: 1.1314 2022/07/30 11:37:55 - mmengine - INFO - Epoch(train) [164][3340/3757] lr: 2.1848e-04 eta: 7:00:05 time: 0.4067 data_time: 0.0221 memory: 17006 grad_norm: 12.9399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1281 loss: 1.1281 2022/07/30 11:38:03 - mmengine - INFO - Epoch(train) [164][3360/3757] lr: 2.1848e-04 eta: 6:59:57 time: 0.4133 data_time: 0.0213 memory: 17006 grad_norm: 12.9499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3116 loss: 1.3116 2022/07/30 11:38:11 - mmengine - INFO - Epoch(train) [164][3380/3757] lr: 2.1848e-04 eta: 6:59:48 time: 0.4056 data_time: 0.0203 memory: 17006 grad_norm: 12.1310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0743 loss: 1.0743 2022/07/30 11:38:20 - mmengine - INFO - Epoch(train) [164][3400/3757] lr: 2.1848e-04 eta: 6:59:40 time: 0.4118 data_time: 0.0227 memory: 17006 grad_norm: 12.6386 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1963 loss: 1.1963 2022/07/30 11:38:28 - mmengine - INFO - Epoch(train) [164][3420/3757] lr: 2.1848e-04 eta: 6:59:32 time: 0.4337 data_time: 0.0209 memory: 17006 grad_norm: 11.9272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0693 loss: 1.0693 2022/07/30 11:38:37 - mmengine - INFO - Epoch(train) [164][3440/3757] lr: 2.1848e-04 eta: 6:59:23 time: 0.4153 data_time: 0.0233 memory: 17006 grad_norm: 12.3766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0727 loss: 1.0727 2022/07/30 11:38:45 - mmengine - INFO - Epoch(train) [164][3460/3757] lr: 2.1848e-04 eta: 6:59:15 time: 0.4235 data_time: 0.0219 memory: 17006 grad_norm: 12.1129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3813 loss: 1.3813 2022/07/30 11:38:53 - mmengine - INFO - Epoch(train) [164][3480/3757] lr: 2.1848e-04 eta: 6:59:07 time: 0.4143 data_time: 0.0223 memory: 17006 grad_norm: 12.0661 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1670 loss: 1.1670 2022/07/30 11:39:02 - mmengine - INFO - Epoch(train) [164][3500/3757] lr: 2.1848e-04 eta: 6:58:58 time: 0.4074 data_time: 0.0215 memory: 17006 grad_norm: 12.1134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0696 loss: 1.0696 2022/07/30 11:39:10 - mmengine - INFO - Epoch(train) [164][3520/3757] lr: 2.1848e-04 eta: 6:58:50 time: 0.4072 data_time: 0.0206 memory: 17006 grad_norm: 12.1192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2341 loss: 1.2341 2022/07/30 11:39:18 - mmengine - INFO - Epoch(train) [164][3540/3757] lr: 2.1848e-04 eta: 6:58:42 time: 0.4206 data_time: 0.0232 memory: 17006 grad_norm: 12.1024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8801 loss: 0.8801 2022/07/30 11:39:27 - mmengine - INFO - Epoch(train) [164][3560/3757] lr: 2.1848e-04 eta: 6:58:33 time: 0.4174 data_time: 0.0207 memory: 17006 grad_norm: 11.9896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1721 loss: 1.1721 2022/07/30 11:39:35 - mmengine - INFO - Epoch(train) [164][3580/3757] lr: 2.1848e-04 eta: 6:58:25 time: 0.4111 data_time: 0.0228 memory: 17006 grad_norm: 12.3581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0850 loss: 1.0850 2022/07/30 11:39:44 - mmengine - INFO - Epoch(train) [164][3600/3757] lr: 2.1848e-04 eta: 6:58:17 time: 0.4327 data_time: 0.0217 memory: 17006 grad_norm: 12.0352 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3715 loss: 1.3715 2022/07/30 11:39:47 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:39:52 - mmengine - INFO - Epoch(train) [164][3620/3757] lr: 2.1848e-04 eta: 6:58:08 time: 0.4069 data_time: 0.0206 memory: 17006 grad_norm: 12.8307 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2913 loss: 1.2913 2022/07/30 11:40:00 - mmengine - INFO - Epoch(train) [164][3640/3757] lr: 2.1848e-04 eta: 6:58:00 time: 0.4112 data_time: 0.0224 memory: 17006 grad_norm: 12.2322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2294 loss: 1.2294 2022/07/30 11:40:08 - mmengine - INFO - Epoch(train) [164][3660/3757] lr: 2.1848e-04 eta: 6:57:52 time: 0.4098 data_time: 0.0212 memory: 17006 grad_norm: 11.9912 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9473 loss: 0.9473 2022/07/30 11:40:16 - mmengine - INFO - Epoch(train) [164][3680/3757] lr: 2.1848e-04 eta: 6:57:43 time: 0.4096 data_time: 0.0220 memory: 17006 grad_norm: 11.8091 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5248 loss: 1.5248 2022/07/30 11:40:25 - mmengine - INFO - Epoch(train) [164][3700/3757] lr: 2.1848e-04 eta: 6:57:35 time: 0.4056 data_time: 0.0207 memory: 17006 grad_norm: 12.1263 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1098 loss: 1.1098 2022/07/30 11:40:33 - mmengine - INFO - Epoch(train) [164][3720/3757] lr: 2.1848e-04 eta: 6:57:27 time: 0.4230 data_time: 0.0215 memory: 17006 grad_norm: 11.9173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0753 loss: 1.0753 2022/07/30 11:40:41 - mmengine - INFO - Epoch(train) [164][3740/3757] lr: 2.1848e-04 eta: 6:57:18 time: 0.4082 data_time: 0.0222 memory: 17006 grad_norm: 12.0864 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0440 loss: 1.0440 2022/07/30 11:40:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:40:48 - mmengine - INFO - Epoch(train) [164][3757/3757] lr: 2.1848e-04 eta: 6:57:18 time: 0.3959 data_time: 0.0194 memory: 17006 grad_norm: 11.8313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9609 loss: 0.9609 2022/07/30 11:40:48 - mmengine - INFO - Saving checkpoint at 164 epochs 2022/07/30 11:41:02 - mmengine - INFO - Epoch(train) [165][20/3757] lr: 1.9369e-04 eta: 6:57:01 time: 0.4494 data_time: 0.0633 memory: 17006 grad_norm: 12.1602 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4781 loss: 1.4781 2022/07/30 11:41:11 - mmengine - INFO - Epoch(train) [165][40/3757] lr: 1.9369e-04 eta: 6:56:52 time: 0.4292 data_time: 0.0219 memory: 17006 grad_norm: 12.2310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0855 loss: 1.0855 2022/07/30 11:41:19 - mmengine - INFO - Epoch(train) [165][60/3757] lr: 1.9369e-04 eta: 6:56:44 time: 0.4077 data_time: 0.0187 memory: 17006 grad_norm: 12.2314 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1708 loss: 1.1708 2022/07/30 11:41:27 - mmengine - INFO - Epoch(train) [165][80/3757] lr: 1.9369e-04 eta: 6:56:36 time: 0.4139 data_time: 0.0231 memory: 17006 grad_norm: 12.4769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4004 loss: 1.4004 2022/07/30 11:41:35 - mmengine - INFO - Epoch(train) [165][100/3757] lr: 1.9369e-04 eta: 6:56:27 time: 0.4130 data_time: 0.0204 memory: 17006 grad_norm: 12.1978 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1587 loss: 1.1587 2022/07/30 11:41:44 - mmengine - INFO - Epoch(train) [165][120/3757] lr: 1.9369e-04 eta: 6:56:19 time: 0.4080 data_time: 0.0213 memory: 17006 grad_norm: 12.0548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9708 loss: 0.9708 2022/07/30 11:41:52 - mmengine - INFO - Epoch(train) [165][140/3757] lr: 1.9369e-04 eta: 6:56:11 time: 0.4070 data_time: 0.0208 memory: 17006 grad_norm: 12.1352 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3179 loss: 1.3179 2022/07/30 11:42:01 - mmengine - INFO - Epoch(train) [165][160/3757] lr: 1.9369e-04 eta: 6:56:02 time: 0.4363 data_time: 0.0226 memory: 17006 grad_norm: 12.0253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9849 loss: 0.9849 2022/07/30 11:42:09 - mmengine - INFO - Epoch(train) [165][180/3757] lr: 1.9369e-04 eta: 6:55:54 time: 0.4057 data_time: 0.0185 memory: 17006 grad_norm: 12.2719 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9904 loss: 0.9904 2022/07/30 11:42:17 - mmengine - INFO - Epoch(train) [165][200/3757] lr: 1.9369e-04 eta: 6:55:46 time: 0.4307 data_time: 0.0242 memory: 17006 grad_norm: 12.5164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2031 loss: 1.2031 2022/07/30 11:42:26 - mmengine - INFO - Epoch(train) [165][220/3757] lr: 1.9369e-04 eta: 6:55:37 time: 0.4118 data_time: 0.0182 memory: 17006 grad_norm: 12.0678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2327 loss: 1.2327 2022/07/30 11:42:34 - mmengine - INFO - Epoch(train) [165][240/3757] lr: 1.9369e-04 eta: 6:55:29 time: 0.4104 data_time: 0.0230 memory: 17006 grad_norm: 12.8277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9544 loss: 0.9544 2022/07/30 11:42:42 - mmengine - INFO - Epoch(train) [165][260/3757] lr: 1.9369e-04 eta: 6:55:21 time: 0.4057 data_time: 0.0186 memory: 17006 grad_norm: 12.3741 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9660 loss: 0.9660 2022/07/30 11:42:50 - mmengine - INFO - Epoch(train) [165][280/3757] lr: 1.9369e-04 eta: 6:55:12 time: 0.4126 data_time: 0.0219 memory: 17006 grad_norm: 11.4403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0721 loss: 1.0721 2022/07/30 11:42:59 - mmengine - INFO - Epoch(train) [165][300/3757] lr: 1.9369e-04 eta: 6:55:04 time: 0.4132 data_time: 0.0187 memory: 17006 grad_norm: 11.6437 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1747 loss: 1.1747 2022/07/30 11:43:07 - mmengine - INFO - Epoch(train) [165][320/3757] lr: 1.9369e-04 eta: 6:54:56 time: 0.4152 data_time: 0.0226 memory: 17006 grad_norm: 11.4985 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8348 loss: 0.8348 2022/07/30 11:43:15 - mmengine - INFO - Epoch(train) [165][340/3757] lr: 1.9369e-04 eta: 6:54:47 time: 0.4115 data_time: 0.0207 memory: 17006 grad_norm: 13.0122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5006 loss: 1.5006 2022/07/30 11:43:23 - mmengine - INFO - Epoch(train) [165][360/3757] lr: 1.9369e-04 eta: 6:54:39 time: 0.4082 data_time: 0.0204 memory: 17006 grad_norm: 12.5439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0297 loss: 1.0297 2022/07/30 11:43:31 - mmengine - INFO - Epoch(train) [165][380/3757] lr: 1.9369e-04 eta: 6:54:30 time: 0.4058 data_time: 0.0205 memory: 17006 grad_norm: 12.1080 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4189 loss: 1.4189 2022/07/30 11:43:40 - mmengine - INFO - Epoch(train) [165][400/3757] lr: 1.9369e-04 eta: 6:54:22 time: 0.4253 data_time: 0.0222 memory: 17006 grad_norm: 11.9620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/07/30 11:43:48 - mmengine - INFO - Epoch(train) [165][420/3757] lr: 1.9369e-04 eta: 6:54:14 time: 0.4092 data_time: 0.0193 memory: 17006 grad_norm: 11.7533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0488 loss: 1.0488 2022/07/30 11:43:57 - mmengine - INFO - Epoch(train) [165][440/3757] lr: 1.9369e-04 eta: 6:54:05 time: 0.4158 data_time: 0.0234 memory: 17006 grad_norm: 11.9451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0494 loss: 1.0494 2022/07/30 11:44:05 - mmengine - INFO - Epoch(train) [165][460/3757] lr: 1.9369e-04 eta: 6:53:57 time: 0.4048 data_time: 0.0183 memory: 17006 grad_norm: 12.5479 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3204 loss: 1.3204 2022/07/30 11:44:13 - mmengine - INFO - Epoch(train) [165][480/3757] lr: 1.9369e-04 eta: 6:53:49 time: 0.4133 data_time: 0.0225 memory: 17006 grad_norm: 11.4177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0009 loss: 1.0009 2022/07/30 11:44:21 - mmengine - INFO - Epoch(train) [165][500/3757] lr: 1.9369e-04 eta: 6:53:40 time: 0.4054 data_time: 0.0197 memory: 17006 grad_norm: 12.3848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/07/30 11:44:29 - mmengine - INFO - Epoch(train) [165][520/3757] lr: 1.9369e-04 eta: 6:53:32 time: 0.4069 data_time: 0.0214 memory: 17006 grad_norm: 12.3752 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1732 loss: 1.1732 2022/07/30 11:44:38 - mmengine - INFO - Epoch(train) [165][540/3757] lr: 1.9369e-04 eta: 6:53:24 time: 0.4260 data_time: 0.0216 memory: 17006 grad_norm: 12.2069 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8505 loss: 0.8505 2022/07/30 11:44:46 - mmengine - INFO - Epoch(train) [165][560/3757] lr: 1.9369e-04 eta: 6:53:15 time: 0.4094 data_time: 0.0206 memory: 17006 grad_norm: 12.0751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2460 loss: 1.2460 2022/07/30 11:44:54 - mmengine - INFO - Epoch(train) [165][580/3757] lr: 1.9369e-04 eta: 6:53:07 time: 0.4167 data_time: 0.0202 memory: 17006 grad_norm: 12.2670 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0643 loss: 1.0643 2022/07/30 11:45:03 - mmengine - INFO - Epoch(train) [165][600/3757] lr: 1.9369e-04 eta: 6:52:59 time: 0.4085 data_time: 0.0220 memory: 17006 grad_norm: 12.1121 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0702 loss: 1.0702 2022/07/30 11:45:11 - mmengine - INFO - Epoch(train) [165][620/3757] lr: 1.9369e-04 eta: 6:52:50 time: 0.4141 data_time: 0.0184 memory: 17006 grad_norm: 12.0215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2987 loss: 1.2987 2022/07/30 11:45:19 - mmengine - INFO - Epoch(train) [165][640/3757] lr: 1.9369e-04 eta: 6:52:42 time: 0.4129 data_time: 0.0225 memory: 17006 grad_norm: 12.2204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1809 loss: 1.1809 2022/07/30 11:45:27 - mmengine - INFO - Epoch(train) [165][660/3757] lr: 1.9369e-04 eta: 6:52:33 time: 0.4057 data_time: 0.0191 memory: 17006 grad_norm: 11.9037 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4222 loss: 1.4222 2022/07/30 11:45:36 - mmengine - INFO - Epoch(train) [165][680/3757] lr: 1.9369e-04 eta: 6:52:25 time: 0.4132 data_time: 0.0234 memory: 17006 grad_norm: 11.5805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0172 loss: 1.0172 2022/07/30 11:45:44 - mmengine - INFO - Epoch(train) [165][700/3757] lr: 1.9369e-04 eta: 6:52:17 time: 0.4158 data_time: 0.0226 memory: 17006 grad_norm: 11.9405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9110 loss: 0.9110 2022/07/30 11:45:52 - mmengine - INFO - Epoch(train) [165][720/3757] lr: 1.9369e-04 eta: 6:52:08 time: 0.4073 data_time: 0.0218 memory: 17006 grad_norm: 11.7379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2758 loss: 1.2758 2022/07/30 11:46:00 - mmengine - INFO - Epoch(train) [165][740/3757] lr: 1.9369e-04 eta: 6:52:00 time: 0.4078 data_time: 0.0190 memory: 17006 grad_norm: 11.9642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0024 loss: 1.0024 2022/07/30 11:46:09 - mmengine - INFO - Epoch(train) [165][760/3757] lr: 1.9369e-04 eta: 6:51:52 time: 0.4184 data_time: 0.0229 memory: 17006 grad_norm: 11.7119 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9715 loss: 0.9715 2022/07/30 11:46:17 - mmengine - INFO - Epoch(train) [165][780/3757] lr: 1.9369e-04 eta: 6:51:43 time: 0.4059 data_time: 0.0187 memory: 17006 grad_norm: 12.4949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2499 loss: 1.2499 2022/07/30 11:46:25 - mmengine - INFO - Epoch(train) [165][800/3757] lr: 1.9369e-04 eta: 6:51:35 time: 0.4116 data_time: 0.0230 memory: 17006 grad_norm: 12.1236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1515 loss: 1.1515 2022/07/30 11:46:34 - mmengine - INFO - Epoch(train) [165][820/3757] lr: 1.9369e-04 eta: 6:51:27 time: 0.4135 data_time: 0.0183 memory: 17006 grad_norm: 11.6826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2542 loss: 1.2542 2022/07/30 11:46:42 - mmengine - INFO - Epoch(train) [165][840/3757] lr: 1.9369e-04 eta: 6:51:18 time: 0.4068 data_time: 0.0200 memory: 17006 grad_norm: 11.7196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1918 loss: 1.1918 2022/07/30 11:46:47 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:46:50 - mmengine - INFO - Epoch(train) [165][860/3757] lr: 1.9369e-04 eta: 6:51:10 time: 0.4240 data_time: 0.0184 memory: 17006 grad_norm: 11.7711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/07/30 11:46:58 - mmengine - INFO - Epoch(train) [165][880/3757] lr: 1.9369e-04 eta: 6:51:02 time: 0.4112 data_time: 0.0222 memory: 17006 grad_norm: 12.4361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0447 loss: 1.0447 2022/07/30 11:47:07 - mmengine - INFO - Epoch(train) [165][900/3757] lr: 1.9369e-04 eta: 6:50:53 time: 0.4264 data_time: 0.0191 memory: 17006 grad_norm: 11.9619 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1675 loss: 1.1675 2022/07/30 11:47:15 - mmengine - INFO - Epoch(train) [165][920/3757] lr: 1.9369e-04 eta: 6:50:45 time: 0.4145 data_time: 0.0226 memory: 17006 grad_norm: 11.8074 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/07/30 11:47:24 - mmengine - INFO - Epoch(train) [165][940/3757] lr: 1.9369e-04 eta: 6:50:37 time: 0.4086 data_time: 0.0200 memory: 17006 grad_norm: 11.8155 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2228 loss: 1.2228 2022/07/30 11:47:32 - mmengine - INFO - Epoch(train) [165][960/3757] lr: 1.9369e-04 eta: 6:50:28 time: 0.4066 data_time: 0.0210 memory: 17006 grad_norm: 11.8263 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0341 loss: 1.0341 2022/07/30 11:47:40 - mmengine - INFO - Epoch(train) [165][980/3757] lr: 1.9369e-04 eta: 6:50:20 time: 0.4119 data_time: 0.0194 memory: 17006 grad_norm: 11.8477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2320 loss: 1.2320 2022/07/30 11:47:48 - mmengine - INFO - Epoch(train) [165][1000/3757] lr: 1.9369e-04 eta: 6:50:11 time: 0.4098 data_time: 0.0222 memory: 17006 grad_norm: 12.2000 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/07/30 11:47:56 - mmengine - INFO - Epoch(train) [165][1020/3757] lr: 1.9369e-04 eta: 6:50:03 time: 0.4149 data_time: 0.0210 memory: 17006 grad_norm: 11.6947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2828 loss: 1.2828 2022/07/30 11:48:05 - mmengine - INFO - Epoch(train) [165][1040/3757] lr: 1.9369e-04 eta: 6:49:55 time: 0.4056 data_time: 0.0212 memory: 17006 grad_norm: 12.0315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0603 loss: 1.0603 2022/07/30 11:48:13 - mmengine - INFO - Epoch(train) [165][1060/3757] lr: 1.9369e-04 eta: 6:49:46 time: 0.4071 data_time: 0.0197 memory: 17006 grad_norm: 12.0775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2300 loss: 1.2300 2022/07/30 11:48:21 - mmengine - INFO - Epoch(train) [165][1080/3757] lr: 1.9369e-04 eta: 6:49:38 time: 0.4115 data_time: 0.0220 memory: 17006 grad_norm: 11.9784 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0413 loss: 1.0413 2022/07/30 11:48:29 - mmengine - INFO - Epoch(train) [165][1100/3757] lr: 1.9369e-04 eta: 6:49:30 time: 0.4066 data_time: 0.0207 memory: 17006 grad_norm: 12.0799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/07/30 11:48:38 - mmengine - INFO - Epoch(train) [165][1120/3757] lr: 1.9369e-04 eta: 6:49:21 time: 0.4201 data_time: 0.0235 memory: 17006 grad_norm: 11.8467 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8530 loss: 0.8530 2022/07/30 11:48:46 - mmengine - INFO - Epoch(train) [165][1140/3757] lr: 1.9369e-04 eta: 6:49:13 time: 0.4054 data_time: 0.0202 memory: 17006 grad_norm: 12.5223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/07/30 11:48:54 - mmengine - INFO - Epoch(train) [165][1160/3757] lr: 1.9369e-04 eta: 6:49:05 time: 0.4266 data_time: 0.0224 memory: 17006 grad_norm: 12.0689 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1276 loss: 1.1276 2022/07/30 11:49:03 - mmengine - INFO - Epoch(train) [165][1180/3757] lr: 1.9369e-04 eta: 6:48:56 time: 0.4074 data_time: 0.0199 memory: 17006 grad_norm: 11.6766 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9541 loss: 0.9541 2022/07/30 11:49:11 - mmengine - INFO - Epoch(train) [165][1200/3757] lr: 1.9369e-04 eta: 6:48:48 time: 0.4058 data_time: 0.0199 memory: 17006 grad_norm: 12.1283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8825 loss: 0.8825 2022/07/30 11:49:19 - mmengine - INFO - Epoch(train) [165][1220/3757] lr: 1.9369e-04 eta: 6:48:40 time: 0.4162 data_time: 0.0197 memory: 17006 grad_norm: 11.8628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0363 loss: 1.0363 2022/07/30 11:49:27 - mmengine - INFO - Epoch(train) [165][1240/3757] lr: 1.9369e-04 eta: 6:48:31 time: 0.4070 data_time: 0.0218 memory: 17006 grad_norm: 11.3545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2781 loss: 1.2781 2022/07/30 11:49:36 - mmengine - INFO - Epoch(train) [165][1260/3757] lr: 1.9369e-04 eta: 6:48:23 time: 0.4276 data_time: 0.0218 memory: 17006 grad_norm: 12.3562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2241 loss: 1.2241 2022/07/30 11:49:44 - mmengine - INFO - Epoch(train) [165][1280/3757] lr: 1.9369e-04 eta: 6:48:14 time: 0.4079 data_time: 0.0214 memory: 17006 grad_norm: 12.3127 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1677 loss: 1.1677 2022/07/30 11:49:52 - mmengine - INFO - Epoch(train) [165][1300/3757] lr: 1.9369e-04 eta: 6:48:06 time: 0.4058 data_time: 0.0204 memory: 17006 grad_norm: 11.7264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1259 loss: 1.1259 2022/07/30 11:50:01 - mmengine - INFO - Epoch(train) [165][1320/3757] lr: 1.9369e-04 eta: 6:47:58 time: 0.4288 data_time: 0.0224 memory: 17006 grad_norm: 11.6235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0924 loss: 1.0924 2022/07/30 11:50:09 - mmengine - INFO - Epoch(train) [165][1340/3757] lr: 1.9369e-04 eta: 6:47:49 time: 0.4059 data_time: 0.0202 memory: 17006 grad_norm: 12.0839 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0761 loss: 1.0761 2022/07/30 11:50:18 - mmengine - INFO - Epoch(train) [165][1360/3757] lr: 1.9369e-04 eta: 6:47:41 time: 0.4378 data_time: 0.0227 memory: 17006 grad_norm: 12.0969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0541 loss: 1.0541 2022/07/30 11:50:26 - mmengine - INFO - Epoch(train) [165][1380/3757] lr: 1.9369e-04 eta: 6:47:33 time: 0.4071 data_time: 0.0207 memory: 17006 grad_norm: 11.8540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2101 loss: 1.2101 2022/07/30 11:50:34 - mmengine - INFO - Epoch(train) [165][1400/3757] lr: 1.9369e-04 eta: 6:47:25 time: 0.4223 data_time: 0.0221 memory: 17006 grad_norm: 12.2882 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9778 loss: 0.9778 2022/07/30 11:50:42 - mmengine - INFO - Epoch(train) [165][1420/3757] lr: 1.9369e-04 eta: 6:47:16 time: 0.4060 data_time: 0.0196 memory: 17006 grad_norm: 12.1556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3866 loss: 1.3866 2022/07/30 11:50:51 - mmengine - INFO - Epoch(train) [165][1440/3757] lr: 1.9369e-04 eta: 6:47:08 time: 0.4057 data_time: 0.0215 memory: 17006 grad_norm: 12.2525 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3150 loss: 1.3150 2022/07/30 11:50:59 - mmengine - INFO - Epoch(train) [165][1460/3757] lr: 1.9369e-04 eta: 6:46:59 time: 0.4147 data_time: 0.0195 memory: 17006 grad_norm: 12.5327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3242 loss: 1.3242 2022/07/30 11:51:07 - mmengine - INFO - Epoch(train) [165][1480/3757] lr: 1.9369e-04 eta: 6:46:51 time: 0.4083 data_time: 0.0218 memory: 17006 grad_norm: 11.9311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1703 loss: 1.1703 2022/07/30 11:51:16 - mmengine - INFO - Epoch(train) [165][1500/3757] lr: 1.9369e-04 eta: 6:46:43 time: 0.4308 data_time: 0.0210 memory: 17006 grad_norm: 12.1970 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0944 loss: 1.0944 2022/07/30 11:51:24 - mmengine - INFO - Epoch(train) [165][1520/3757] lr: 1.9369e-04 eta: 6:46:34 time: 0.4093 data_time: 0.0223 memory: 17006 grad_norm: 11.8732 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0766 loss: 1.0766 2022/07/30 11:51:32 - mmengine - INFO - Epoch(train) [165][1540/3757] lr: 1.9369e-04 eta: 6:46:26 time: 0.4063 data_time: 0.0205 memory: 17006 grad_norm: 12.5131 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/07/30 11:51:41 - mmengine - INFO - Epoch(train) [165][1560/3757] lr: 1.9369e-04 eta: 6:46:18 time: 0.4188 data_time: 0.0229 memory: 17006 grad_norm: 11.7122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0291 loss: 1.0291 2022/07/30 11:51:49 - mmengine - INFO - Epoch(train) [165][1580/3757] lr: 1.9369e-04 eta: 6:46:09 time: 0.4164 data_time: 0.0194 memory: 17006 grad_norm: 11.6763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1745 loss: 1.1745 2022/07/30 11:51:57 - mmengine - INFO - Epoch(train) [165][1600/3757] lr: 1.9369e-04 eta: 6:46:01 time: 0.4205 data_time: 0.0225 memory: 17006 grad_norm: 11.9146 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1638 loss: 1.1638 2022/07/30 11:52:06 - mmengine - INFO - Epoch(train) [165][1620/3757] lr: 1.9369e-04 eta: 6:45:53 time: 0.4084 data_time: 0.0202 memory: 17006 grad_norm: 11.4944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/07/30 11:52:14 - mmengine - INFO - Epoch(train) [165][1640/3757] lr: 1.9369e-04 eta: 6:45:45 time: 0.4273 data_time: 0.0232 memory: 17006 grad_norm: 11.7455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9875 loss: 0.9875 2022/07/30 11:52:22 - mmengine - INFO - Epoch(train) [165][1660/3757] lr: 1.9369e-04 eta: 6:45:36 time: 0.4068 data_time: 0.0189 memory: 17006 grad_norm: 11.7352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8910 loss: 0.8910 2022/07/30 11:52:30 - mmengine - INFO - Epoch(train) [165][1680/3757] lr: 1.9369e-04 eta: 6:45:28 time: 0.4073 data_time: 0.0216 memory: 17006 grad_norm: 11.6388 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2405 loss: 1.2405 2022/07/30 11:52:39 - mmengine - INFO - Epoch(train) [165][1700/3757] lr: 1.9369e-04 eta: 6:45:19 time: 0.4107 data_time: 0.0205 memory: 17006 grad_norm: 11.5750 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3354 loss: 1.3354 2022/07/30 11:52:47 - mmengine - INFO - Epoch(train) [165][1720/3757] lr: 1.9369e-04 eta: 6:45:11 time: 0.4066 data_time: 0.0202 memory: 17006 grad_norm: 11.8677 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1545 loss: 1.1545 2022/07/30 11:52:55 - mmengine - INFO - Epoch(train) [165][1740/3757] lr: 1.9369e-04 eta: 6:45:03 time: 0.4139 data_time: 0.0225 memory: 17006 grad_norm: 11.9248 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2687 loss: 1.2687 2022/07/30 11:53:03 - mmengine - INFO - Epoch(train) [165][1760/3757] lr: 1.9369e-04 eta: 6:44:54 time: 0.4075 data_time: 0.0217 memory: 17006 grad_norm: 12.1251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3040 loss: 1.3040 2022/07/30 11:53:12 - mmengine - INFO - Epoch(train) [165][1780/3757] lr: 1.9369e-04 eta: 6:44:46 time: 0.4289 data_time: 0.0213 memory: 17006 grad_norm: 11.8008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1288 loss: 1.1288 2022/07/30 11:53:20 - mmengine - INFO - Epoch(train) [165][1800/3757] lr: 1.9369e-04 eta: 6:44:38 time: 0.4133 data_time: 0.0224 memory: 17006 grad_norm: 11.9971 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0985 loss: 1.0985 2022/07/30 11:53:28 - mmengine - INFO - Epoch(train) [165][1820/3757] lr: 1.9369e-04 eta: 6:44:29 time: 0.4057 data_time: 0.0186 memory: 17006 grad_norm: 12.7441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2599 loss: 1.2599 2022/07/30 11:53:38 - mmengine - INFO - Epoch(train) [165][1840/3757] lr: 1.9369e-04 eta: 6:44:21 time: 0.4693 data_time: 0.0235 memory: 17006 grad_norm: 11.8538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0934 loss: 1.0934 2022/07/30 11:53:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 11:53:46 - mmengine - INFO - Epoch(train) [165][1860/3757] lr: 1.9369e-04 eta: 6:44:13 time: 0.4057 data_time: 0.0187 memory: 17006 grad_norm: 11.8188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1056 loss: 1.1056 2022/07/30 11:53:55 - mmengine - INFO - Epoch(train) [165][1880/3757] lr: 1.9369e-04 eta: 6:44:05 time: 0.4279 data_time: 0.0246 memory: 17006 grad_norm: 12.5674 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1634 loss: 1.1634 2022/07/30 11:54:03 - mmengine - INFO - Epoch(train) [165][1900/3757] lr: 1.9369e-04 eta: 6:43:56 time: 0.4061 data_time: 0.0193 memory: 17006 grad_norm: 12.1753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/07/30 11:54:11 - mmengine - INFO - Epoch(train) [165][1920/3757] lr: 1.9369e-04 eta: 6:43:48 time: 0.4163 data_time: 0.0216 memory: 17006 grad_norm: 12.1840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/07/30 11:54:19 - mmengine - INFO - Epoch(train) [165][1940/3757] lr: 1.9369e-04 eta: 6:43:40 time: 0.4096 data_time: 0.0194 memory: 17006 grad_norm: 12.3031 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0880 loss: 1.0880 2022/07/30 11:54:28 - mmengine - INFO - Epoch(train) [165][1960/3757] lr: 1.9369e-04 eta: 6:43:31 time: 0.4093 data_time: 0.0221 memory: 17006 grad_norm: 12.3520 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0746 loss: 1.0746 2022/07/30 11:54:36 - mmengine - INFO - Epoch(train) [165][1980/3757] lr: 1.9369e-04 eta: 6:43:23 time: 0.4108 data_time: 0.0201 memory: 17006 grad_norm: 12.8211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0699 loss: 1.0699 2022/07/30 11:54:44 - mmengine - INFO - Epoch(train) [165][2000/3757] lr: 1.9369e-04 eta: 6:43:15 time: 0.4207 data_time: 0.0219 memory: 17006 grad_norm: 11.5991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1321 loss: 1.1321 2022/07/30 11:54:52 - mmengine - INFO - Epoch(train) [165][2020/3757] lr: 1.9369e-04 eta: 6:43:06 time: 0.4045 data_time: 0.0198 memory: 17006 grad_norm: 12.3356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2770 loss: 1.2770 2022/07/30 11:55:01 - mmengine - INFO - Epoch(train) [165][2040/3757] lr: 1.9369e-04 eta: 6:42:58 time: 0.4123 data_time: 0.0232 memory: 17006 grad_norm: 11.5634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0164 loss: 1.0164 2022/07/30 11:55:09 - mmengine - INFO - Epoch(train) [165][2060/3757] lr: 1.9369e-04 eta: 6:42:49 time: 0.4077 data_time: 0.0205 memory: 17006 grad_norm: 11.9908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0211 loss: 1.0211 2022/07/30 11:55:17 - mmengine - INFO - Epoch(train) [165][2080/3757] lr: 1.9369e-04 eta: 6:42:41 time: 0.4155 data_time: 0.0223 memory: 17006 grad_norm: 11.9916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1621 loss: 1.1621 2022/07/30 11:55:26 - mmengine - INFO - Epoch(train) [165][2100/3757] lr: 1.9369e-04 eta: 6:42:33 time: 0.4177 data_time: 0.0210 memory: 17006 grad_norm: 12.2249 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1574 loss: 1.1574 2022/07/30 11:55:34 - mmengine - INFO - Epoch(train) [165][2120/3757] lr: 1.9369e-04 eta: 6:42:24 time: 0.4092 data_time: 0.0210 memory: 17006 grad_norm: 11.5825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2301 loss: 1.2301 2022/07/30 11:55:42 - mmengine - INFO - Epoch(train) [165][2140/3757] lr: 1.9369e-04 eta: 6:42:16 time: 0.4111 data_time: 0.0201 memory: 17006 grad_norm: 11.9746 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0932 loss: 1.0932 2022/07/30 11:55:50 - mmengine - INFO - Epoch(train) [165][2160/3757] lr: 1.9369e-04 eta: 6:42:08 time: 0.4130 data_time: 0.0206 memory: 17006 grad_norm: 12.5620 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3480 loss: 1.3480 2022/07/30 11:55:59 - mmengine - INFO - Epoch(train) [165][2180/3757] lr: 1.9369e-04 eta: 6:41:59 time: 0.4181 data_time: 0.0206 memory: 17006 grad_norm: 11.7215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1371 loss: 1.1371 2022/07/30 11:56:07 - mmengine - INFO - Epoch(train) [165][2200/3757] lr: 1.9369e-04 eta: 6:41:51 time: 0.4098 data_time: 0.0214 memory: 17006 grad_norm: 11.3293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8900 loss: 0.8900 2022/07/30 11:56:15 - mmengine - INFO - Epoch(train) [165][2220/3757] lr: 1.9369e-04 eta: 6:41:43 time: 0.4223 data_time: 0.0220 memory: 17006 grad_norm: 12.0887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/07/30 11:56:24 - mmengine - INFO - Epoch(train) [165][2240/3757] lr: 1.9369e-04 eta: 6:41:34 time: 0.4068 data_time: 0.0216 memory: 17006 grad_norm: 12.1647 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3081 loss: 1.3081 2022/07/30 11:56:32 - mmengine - INFO - Epoch(train) [165][2260/3757] lr: 1.9369e-04 eta: 6:41:26 time: 0.4049 data_time: 0.0191 memory: 17006 grad_norm: 11.7953 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9139 loss: 0.9139 2022/07/30 11:56:41 - mmengine - INFO - Epoch(train) [165][2280/3757] lr: 1.9369e-04 eta: 6:41:18 time: 0.4578 data_time: 0.0216 memory: 17006 grad_norm: 11.7096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2108 loss: 1.2108 2022/07/30 11:56:49 - mmengine - INFO - Epoch(train) [165][2300/3757] lr: 1.9369e-04 eta: 6:41:09 time: 0.4064 data_time: 0.0192 memory: 17006 grad_norm: 11.5819 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1641 loss: 1.1641 2022/07/30 11:56:58 - mmengine - INFO - Epoch(train) [165][2320/3757] lr: 1.9369e-04 eta: 6:41:01 time: 0.4643 data_time: 0.0221 memory: 17006 grad_norm: 12.2709 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/07/30 11:57:06 - mmengine - INFO - Epoch(train) [165][2340/3757] lr: 1.9369e-04 eta: 6:40:53 time: 0.4057 data_time: 0.0191 memory: 17006 grad_norm: 11.8382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1527 loss: 1.1527 2022/07/30 11:57:15 - mmengine - INFO - Epoch(train) [165][2360/3757] lr: 1.9369e-04 eta: 6:40:45 time: 0.4217 data_time: 0.0227 memory: 17006 grad_norm: 12.8864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1687 loss: 1.1687 2022/07/30 11:57:23 - mmengine - INFO - Epoch(train) [165][2380/3757] lr: 1.9369e-04 eta: 6:40:36 time: 0.4058 data_time: 0.0190 memory: 17006 grad_norm: 12.6929 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2672 loss: 1.2672 2022/07/30 11:57:31 - mmengine - INFO - Epoch(train) [165][2400/3757] lr: 1.9369e-04 eta: 6:40:28 time: 0.4066 data_time: 0.0205 memory: 17006 grad_norm: 11.8427 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2294 loss: 1.2294 2022/07/30 11:57:40 - mmengine - INFO - Epoch(train) [165][2420/3757] lr: 1.9369e-04 eta: 6:40:20 time: 0.4387 data_time: 0.0210 memory: 17006 grad_norm: 11.6015 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0165 loss: 1.0165 2022/07/30 11:57:48 - mmengine - INFO - Epoch(train) [165][2440/3757] lr: 1.9369e-04 eta: 6:40:11 time: 0.4064 data_time: 0.0214 memory: 17006 grad_norm: 11.7856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0214 loss: 1.0214 2022/07/30 11:57:57 - mmengine - INFO - Epoch(train) [165][2460/3757] lr: 1.9369e-04 eta: 6:40:03 time: 0.4136 data_time: 0.0217 memory: 17006 grad_norm: 11.9066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1084 loss: 1.1084 2022/07/30 11:58:05 - mmengine - INFO - Epoch(train) [165][2480/3757] lr: 1.9369e-04 eta: 6:39:55 time: 0.4076 data_time: 0.0211 memory: 17006 grad_norm: 12.5247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0625 loss: 1.0625 2022/07/30 11:58:13 - mmengine - INFO - Epoch(train) [165][2500/3757] lr: 1.9369e-04 eta: 6:39:46 time: 0.4045 data_time: 0.0199 memory: 17006 grad_norm: 12.3936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3416 loss: 1.3416 2022/07/30 11:58:21 - mmengine - INFO - Epoch(train) [165][2520/3757] lr: 1.9369e-04 eta: 6:39:38 time: 0.4132 data_time: 0.0203 memory: 17006 grad_norm: 11.9222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2018 loss: 1.2018 2022/07/30 11:58:29 - mmengine - INFO - Epoch(train) [165][2540/3757] lr: 1.9369e-04 eta: 6:39:29 time: 0.4041 data_time: 0.0191 memory: 17006 grad_norm: 12.3713 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3170 loss: 1.3170 2022/07/30 11:58:37 - mmengine - INFO - Epoch(train) [165][2560/3757] lr: 1.9369e-04 eta: 6:39:21 time: 0.4096 data_time: 0.0231 memory: 17006 grad_norm: 12.6597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2432 loss: 1.2432 2022/07/30 11:58:46 - mmengine - INFO - Epoch(train) [165][2580/3757] lr: 1.9369e-04 eta: 6:39:13 time: 0.4062 data_time: 0.0182 memory: 17006 grad_norm: 12.6800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2394 loss: 1.2394 2022/07/30 11:58:54 - mmengine - INFO - Epoch(train) [165][2600/3757] lr: 1.9369e-04 eta: 6:39:04 time: 0.4048 data_time: 0.0202 memory: 17006 grad_norm: 11.8301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3401 loss: 1.3401 2022/07/30 11:59:02 - mmengine - INFO - Epoch(train) [165][2620/3757] lr: 1.9369e-04 eta: 6:38:56 time: 0.4152 data_time: 0.0206 memory: 17006 grad_norm: 12.0924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0473 loss: 1.0473 2022/07/30 11:59:10 - mmengine - INFO - Epoch(train) [165][2640/3757] lr: 1.9369e-04 eta: 6:38:48 time: 0.4063 data_time: 0.0209 memory: 17006 grad_norm: 12.2634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1827 loss: 1.1827 2022/07/30 11:59:19 - mmengine - INFO - Epoch(train) [165][2660/3757] lr: 1.9369e-04 eta: 6:38:39 time: 0.4406 data_time: 0.0202 memory: 17006 grad_norm: 12.0023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/07/30 11:59:27 - mmengine - INFO - Epoch(train) [165][2680/3757] lr: 1.9369e-04 eta: 6:38:31 time: 0.4077 data_time: 0.0215 memory: 17006 grad_norm: 12.3348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0591 loss: 1.0591 2022/07/30 11:59:36 - mmengine - INFO - Epoch(train) [165][2700/3757] lr: 1.9369e-04 eta: 6:38:23 time: 0.4320 data_time: 0.0212 memory: 17006 grad_norm: 12.2709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3053 loss: 1.3053 2022/07/30 11:59:44 - mmengine - INFO - Epoch(train) [165][2720/3757] lr: 1.9369e-04 eta: 6:38:14 time: 0.4075 data_time: 0.0212 memory: 17006 grad_norm: 12.2202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1718 loss: 1.1718 2022/07/30 11:59:52 - mmengine - INFO - Epoch(train) [165][2740/3757] lr: 1.9369e-04 eta: 6:38:06 time: 0.4047 data_time: 0.0188 memory: 17006 grad_norm: 11.9380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/07/30 12:00:01 - mmengine - INFO - Epoch(train) [165][2760/3757] lr: 1.9369e-04 eta: 6:37:58 time: 0.4232 data_time: 0.0233 memory: 17006 grad_norm: 11.9399 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1448 loss: 1.1448 2022/07/30 12:00:13 - mmengine - INFO - Epoch(train) [165][2780/3757] lr: 1.9369e-04 eta: 6:37:51 time: 0.6214 data_time: 0.0391 memory: 17006 grad_norm: 12.5104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/07/30 12:00:21 - mmengine - INFO - Epoch(train) [165][2800/3757] lr: 1.9369e-04 eta: 6:37:42 time: 0.4108 data_time: 0.0252 memory: 17006 grad_norm: 11.5716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9762 loss: 0.9762 2022/07/30 12:00:30 - mmengine - INFO - Epoch(train) [165][2820/3757] lr: 1.9369e-04 eta: 6:37:34 time: 0.4223 data_time: 0.0209 memory: 17006 grad_norm: 12.1542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2155 loss: 1.2155 2022/07/30 12:00:38 - mmengine - INFO - Epoch(train) [165][2840/3757] lr: 1.9369e-04 eta: 6:37:26 time: 0.4115 data_time: 0.0219 memory: 17006 grad_norm: 11.7390 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0448 loss: 1.0448 2022/07/30 12:00:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:00:47 - mmengine - INFO - Epoch(train) [165][2860/3757] lr: 1.9369e-04 eta: 6:37:17 time: 0.4178 data_time: 0.0198 memory: 17006 grad_norm: 12.0986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3424 loss: 1.3424 2022/07/30 12:00:55 - mmengine - INFO - Epoch(train) [165][2880/3757] lr: 1.9369e-04 eta: 6:37:09 time: 0.4141 data_time: 0.0233 memory: 17006 grad_norm: 11.7682 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2931 loss: 1.2931 2022/07/30 12:01:03 - mmengine - INFO - Epoch(train) [165][2900/3757] lr: 1.9369e-04 eta: 6:37:01 time: 0.4027 data_time: 0.0180 memory: 17006 grad_norm: 12.1649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2202 loss: 1.2202 2022/07/30 12:01:11 - mmengine - INFO - Epoch(train) [165][2920/3757] lr: 1.9369e-04 eta: 6:36:52 time: 0.4101 data_time: 0.0217 memory: 17006 grad_norm: 12.3427 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/07/30 12:01:20 - mmengine - INFO - Epoch(train) [165][2940/3757] lr: 1.9369e-04 eta: 6:36:44 time: 0.4145 data_time: 0.0198 memory: 17006 grad_norm: 12.5455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2599 loss: 1.2599 2022/07/30 12:01:28 - mmengine - INFO - Epoch(train) [165][2960/3757] lr: 1.9369e-04 eta: 6:36:36 time: 0.4077 data_time: 0.0222 memory: 17006 grad_norm: 12.3127 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9960 loss: 0.9960 2022/07/30 12:01:36 - mmengine - INFO - Epoch(train) [165][2980/3757] lr: 1.9369e-04 eta: 6:36:27 time: 0.4099 data_time: 0.0206 memory: 17006 grad_norm: 12.4436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1848 loss: 1.1848 2022/07/30 12:01:44 - mmengine - INFO - Epoch(train) [165][3000/3757] lr: 1.9369e-04 eta: 6:36:19 time: 0.4067 data_time: 0.0208 memory: 17006 grad_norm: 12.2526 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1660 loss: 1.1660 2022/07/30 12:01:52 - mmengine - INFO - Epoch(train) [165][3020/3757] lr: 1.9369e-04 eta: 6:36:10 time: 0.4111 data_time: 0.0188 memory: 17006 grad_norm: 12.2808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1585 loss: 1.1585 2022/07/30 12:02:01 - mmengine - INFO - Epoch(train) [165][3040/3757] lr: 1.9369e-04 eta: 6:36:02 time: 0.4147 data_time: 0.0231 memory: 17006 grad_norm: 12.1942 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1595 loss: 1.1595 2022/07/30 12:02:09 - mmengine - INFO - Epoch(train) [165][3060/3757] lr: 1.9369e-04 eta: 6:35:54 time: 0.4076 data_time: 0.0187 memory: 17006 grad_norm: 11.5949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1194 loss: 1.1194 2022/07/30 12:02:18 - mmengine - INFO - Epoch(train) [165][3080/3757] lr: 1.9369e-04 eta: 6:35:45 time: 0.4316 data_time: 0.0245 memory: 17006 grad_norm: 11.6281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2244 loss: 1.2244 2022/07/30 12:02:26 - mmengine - INFO - Epoch(train) [165][3100/3757] lr: 1.9369e-04 eta: 6:35:37 time: 0.4060 data_time: 0.0180 memory: 17006 grad_norm: 12.4148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1949 loss: 1.1949 2022/07/30 12:02:34 - mmengine - INFO - Epoch(train) [165][3120/3757] lr: 1.9369e-04 eta: 6:35:29 time: 0.4078 data_time: 0.0228 memory: 17006 grad_norm: 12.2673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1658 loss: 1.1658 2022/07/30 12:02:42 - mmengine - INFO - Epoch(train) [165][3140/3757] lr: 1.9369e-04 eta: 6:35:20 time: 0.4080 data_time: 0.0191 memory: 17006 grad_norm: 12.0282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0988 loss: 1.0988 2022/07/30 12:02:50 - mmengine - INFO - Epoch(train) [165][3160/3757] lr: 1.9369e-04 eta: 6:35:12 time: 0.4134 data_time: 0.0217 memory: 17006 grad_norm: 12.1682 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1094 loss: 1.1094 2022/07/30 12:02:59 - mmengine - INFO - Epoch(train) [165][3180/3757] lr: 1.9369e-04 eta: 6:35:04 time: 0.4075 data_time: 0.0191 memory: 17006 grad_norm: 11.5418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2029 loss: 1.2029 2022/07/30 12:03:07 - mmengine - INFO - Epoch(train) [165][3200/3757] lr: 1.9369e-04 eta: 6:34:55 time: 0.4247 data_time: 0.0217 memory: 17006 grad_norm: 12.6907 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0601 loss: 1.0601 2022/07/30 12:03:15 - mmengine - INFO - Epoch(train) [165][3220/3757] lr: 1.9369e-04 eta: 6:34:47 time: 0.4076 data_time: 0.0177 memory: 17006 grad_norm: 12.4762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1188 loss: 1.1188 2022/07/30 12:03:23 - mmengine - INFO - Epoch(train) [165][3240/3757] lr: 1.9369e-04 eta: 6:34:39 time: 0.4087 data_time: 0.0232 memory: 17006 grad_norm: 11.8976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0294 loss: 1.0294 2022/07/30 12:03:32 - mmengine - INFO - Epoch(train) [165][3260/3757] lr: 1.9369e-04 eta: 6:34:30 time: 0.4173 data_time: 0.0196 memory: 17006 grad_norm: 11.9897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0732 loss: 1.0732 2022/07/30 12:03:40 - mmengine - INFO - Epoch(train) [165][3280/3757] lr: 1.9369e-04 eta: 6:34:22 time: 0.4070 data_time: 0.0209 memory: 17006 grad_norm: 11.9983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8720 loss: 0.8720 2022/07/30 12:03:49 - mmengine - INFO - Epoch(train) [165][3300/3757] lr: 1.9369e-04 eta: 6:34:14 time: 0.4283 data_time: 0.0202 memory: 17006 grad_norm: 11.8449 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4503 loss: 1.4503 2022/07/30 12:03:57 - mmengine - INFO - Epoch(train) [165][3320/3757] lr: 1.9369e-04 eta: 6:34:05 time: 0.4106 data_time: 0.0220 memory: 17006 grad_norm: 11.7787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3406 loss: 1.3406 2022/07/30 12:04:05 - mmengine - INFO - Epoch(train) [165][3340/3757] lr: 1.9369e-04 eta: 6:33:57 time: 0.4125 data_time: 0.0198 memory: 17006 grad_norm: 12.0335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2005 loss: 1.2005 2022/07/30 12:04:13 - mmengine - INFO - Epoch(train) [165][3360/3757] lr: 1.9369e-04 eta: 6:33:49 time: 0.4083 data_time: 0.0220 memory: 17006 grad_norm: 12.2223 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1687 loss: 1.1687 2022/07/30 12:04:21 - mmengine - INFO - Epoch(train) [165][3380/3757] lr: 1.9369e-04 eta: 6:33:40 time: 0.4054 data_time: 0.0177 memory: 17006 grad_norm: 11.6582 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2619 loss: 1.2619 2022/07/30 12:04:30 - mmengine - INFO - Epoch(train) [165][3400/3757] lr: 1.9369e-04 eta: 6:33:32 time: 0.4118 data_time: 0.0213 memory: 17006 grad_norm: 12.4436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0651 loss: 1.0651 2022/07/30 12:04:38 - mmengine - INFO - Epoch(train) [165][3420/3757] lr: 1.9369e-04 eta: 6:33:23 time: 0.4063 data_time: 0.0187 memory: 17006 grad_norm: 11.7256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/07/30 12:04:46 - mmengine - INFO - Epoch(train) [165][3440/3757] lr: 1.9369e-04 eta: 6:33:15 time: 0.4208 data_time: 0.0251 memory: 17006 grad_norm: 11.8955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2014 loss: 1.2014 2022/07/30 12:04:54 - mmengine - INFO - Epoch(train) [165][3460/3757] lr: 1.9369e-04 eta: 6:33:07 time: 0.4051 data_time: 0.0187 memory: 17006 grad_norm: 11.6789 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2414 loss: 1.2414 2022/07/30 12:05:03 - mmengine - INFO - Epoch(train) [165][3480/3757] lr: 1.9369e-04 eta: 6:32:58 time: 0.4086 data_time: 0.0218 memory: 17006 grad_norm: 12.4168 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1424 loss: 1.1424 2022/07/30 12:05:11 - mmengine - INFO - Epoch(train) [165][3500/3757] lr: 1.9369e-04 eta: 6:32:50 time: 0.4131 data_time: 0.0193 memory: 17006 grad_norm: 11.6117 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2469 loss: 1.2469 2022/07/30 12:05:19 - mmengine - INFO - Epoch(train) [165][3520/3757] lr: 1.9369e-04 eta: 6:32:42 time: 0.4093 data_time: 0.0227 memory: 17006 grad_norm: 12.4327 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2473 loss: 1.2473 2022/07/30 12:05:28 - mmengine - INFO - Epoch(train) [165][3540/3757] lr: 1.9369e-04 eta: 6:32:33 time: 0.4466 data_time: 0.0195 memory: 17006 grad_norm: 12.4837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1226 loss: 1.1226 2022/07/30 12:05:36 - mmengine - INFO - Epoch(train) [165][3560/3757] lr: 1.9369e-04 eta: 6:32:25 time: 0.4065 data_time: 0.0218 memory: 17006 grad_norm: 11.7385 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3604 loss: 1.3604 2022/07/30 12:05:44 - mmengine - INFO - Epoch(train) [165][3580/3757] lr: 1.9369e-04 eta: 6:32:17 time: 0.4042 data_time: 0.0185 memory: 17006 grad_norm: 12.3751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/07/30 12:05:53 - mmengine - INFO - Epoch(train) [165][3600/3757] lr: 1.9369e-04 eta: 6:32:08 time: 0.4128 data_time: 0.0225 memory: 17006 grad_norm: 11.7926 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3650 loss: 1.3650 2022/07/30 12:06:01 - mmengine - INFO - Epoch(train) [165][3620/3757] lr: 1.9369e-04 eta: 6:32:00 time: 0.4099 data_time: 0.0189 memory: 17006 grad_norm: 11.8120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/07/30 12:06:09 - mmengine - INFO - Epoch(train) [165][3640/3757] lr: 1.9369e-04 eta: 6:31:52 time: 0.4203 data_time: 0.0232 memory: 17006 grad_norm: 12.2730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3347 loss: 1.3347 2022/07/30 12:06:18 - mmengine - INFO - Epoch(train) [165][3660/3757] lr: 1.9369e-04 eta: 6:31:43 time: 0.4068 data_time: 0.0191 memory: 17006 grad_norm: 12.1869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1719 loss: 1.1719 2022/07/30 12:06:26 - mmengine - INFO - Epoch(train) [165][3680/3757] lr: 1.9369e-04 eta: 6:31:35 time: 0.4202 data_time: 0.0233 memory: 17006 grad_norm: 11.4359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0504 loss: 1.0504 2022/07/30 12:06:34 - mmengine - INFO - Epoch(train) [165][3700/3757] lr: 1.9369e-04 eta: 6:31:27 time: 0.4050 data_time: 0.0199 memory: 17006 grad_norm: 11.8451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1834 loss: 1.1834 2022/07/30 12:06:42 - mmengine - INFO - Epoch(train) [165][3720/3757] lr: 1.9369e-04 eta: 6:31:18 time: 0.4069 data_time: 0.0205 memory: 17006 grad_norm: 11.5701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3547 loss: 1.3547 2022/07/30 12:06:51 - mmengine - INFO - Epoch(train) [165][3740/3757] lr: 1.9369e-04 eta: 6:31:10 time: 0.4209 data_time: 0.0206 memory: 17006 grad_norm: 11.9772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0921 loss: 1.0921 2022/07/30 12:06:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:06:58 - mmengine - INFO - Epoch(train) [165][3757/3757] lr: 1.9369e-04 eta: 6:31:10 time: 0.4038 data_time: 0.0201 memory: 17006 grad_norm: 11.5533 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0198 loss: 1.0198 2022/07/30 12:06:58 - mmengine - INFO - Saving checkpoint at 165 epochs 2022/07/30 12:07:32 - mmengine - INFO - Epoch(train) [166][20/3757] lr: 1.7037e-04 eta: 6:30:53 time: 0.5410 data_time: 0.1185 memory: 17006 grad_norm: 12.0048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0538 loss: 1.0538 2022/07/30 12:07:40 - mmengine - INFO - Epoch(train) [166][40/3757] lr: 1.7037e-04 eta: 6:30:45 time: 0.4147 data_time: 0.0266 memory: 17006 grad_norm: 12.2335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1226 loss: 1.1226 2022/07/30 12:07:48 - mmengine - INFO - Epoch(train) [166][60/3757] lr: 1.7037e-04 eta: 6:30:36 time: 0.4121 data_time: 0.0194 memory: 17006 grad_norm: 11.9410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3400 loss: 1.3400 2022/07/30 12:07:56 - mmengine - INFO - Epoch(train) [166][80/3757] lr: 1.7037e-04 eta: 6:30:28 time: 0.4168 data_time: 0.0221 memory: 17006 grad_norm: 11.6200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/07/30 12:08:03 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:08:05 - mmengine - INFO - Epoch(train) [166][100/3757] lr: 1.7037e-04 eta: 6:30:20 time: 0.4040 data_time: 0.0195 memory: 17006 grad_norm: 12.1473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8899 loss: 0.8899 2022/07/30 12:08:13 - mmengine - INFO - Epoch(train) [166][120/3757] lr: 1.7037e-04 eta: 6:30:11 time: 0.4098 data_time: 0.0215 memory: 17006 grad_norm: 11.9521 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0379 loss: 1.0379 2022/07/30 12:08:21 - mmengine - INFO - Epoch(train) [166][140/3757] lr: 1.7037e-04 eta: 6:30:03 time: 0.4093 data_time: 0.0189 memory: 17006 grad_norm: 12.1615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3218 loss: 1.3218 2022/07/30 12:08:29 - mmengine - INFO - Epoch(train) [166][160/3757] lr: 1.7037e-04 eta: 6:29:55 time: 0.4094 data_time: 0.0230 memory: 17006 grad_norm: 12.0342 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3157 loss: 1.3157 2022/07/30 12:08:37 - mmengine - INFO - Epoch(train) [166][180/3757] lr: 1.7037e-04 eta: 6:29:46 time: 0.4097 data_time: 0.0200 memory: 17006 grad_norm: 12.0570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1066 loss: 1.1066 2022/07/30 12:08:46 - mmengine - INFO - Epoch(train) [166][200/3757] lr: 1.7037e-04 eta: 6:29:38 time: 0.4138 data_time: 0.0224 memory: 17006 grad_norm: 11.8292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0274 loss: 1.0274 2022/07/30 12:08:54 - mmengine - INFO - Epoch(train) [166][220/3757] lr: 1.7037e-04 eta: 6:29:29 time: 0.4050 data_time: 0.0181 memory: 17006 grad_norm: 11.9969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/07/30 12:09:02 - mmengine - INFO - Epoch(train) [166][240/3757] lr: 1.7037e-04 eta: 6:29:21 time: 0.4149 data_time: 0.0219 memory: 17006 grad_norm: 11.6532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2481 loss: 1.2481 2022/07/30 12:09:10 - mmengine - INFO - Epoch(train) [166][260/3757] lr: 1.7037e-04 eta: 6:29:13 time: 0.4078 data_time: 0.0195 memory: 17006 grad_norm: 12.2422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1053 loss: 1.1053 2022/07/30 12:09:19 - mmengine - INFO - Epoch(train) [166][280/3757] lr: 1.7037e-04 eta: 6:29:04 time: 0.4122 data_time: 0.0229 memory: 17006 grad_norm: 11.6768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1067 loss: 1.1067 2022/07/30 12:09:27 - mmengine - INFO - Epoch(train) [166][300/3757] lr: 1.7037e-04 eta: 6:28:56 time: 0.4085 data_time: 0.0200 memory: 17006 grad_norm: 11.9885 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3334 loss: 1.3334 2022/07/30 12:09:35 - mmengine - INFO - Epoch(train) [166][320/3757] lr: 1.7037e-04 eta: 6:28:48 time: 0.4093 data_time: 0.0219 memory: 17006 grad_norm: 11.7661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9759 loss: 0.9759 2022/07/30 12:09:43 - mmengine - INFO - Epoch(train) [166][340/3757] lr: 1.7037e-04 eta: 6:28:39 time: 0.4083 data_time: 0.0189 memory: 17006 grad_norm: 11.0604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1696 loss: 1.1696 2022/07/30 12:09:52 - mmengine - INFO - Epoch(train) [166][360/3757] lr: 1.7037e-04 eta: 6:28:31 time: 0.4123 data_time: 0.0215 memory: 17006 grad_norm: 12.1770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2758 loss: 1.2758 2022/07/30 12:10:00 - mmengine - INFO - Epoch(train) [166][380/3757] lr: 1.7037e-04 eta: 6:28:23 time: 0.4104 data_time: 0.0236 memory: 17006 grad_norm: 11.6865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8742 loss: 0.8742 2022/07/30 12:10:08 - mmengine - INFO - Epoch(train) [166][400/3757] lr: 1.7037e-04 eta: 6:28:14 time: 0.4140 data_time: 0.0235 memory: 17006 grad_norm: 11.6465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2438 loss: 1.2438 2022/07/30 12:10:16 - mmengine - INFO - Epoch(train) [166][420/3757] lr: 1.7037e-04 eta: 6:28:06 time: 0.4109 data_time: 0.0201 memory: 17006 grad_norm: 12.6641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1935 loss: 1.1935 2022/07/30 12:10:25 - mmengine - INFO - Epoch(train) [166][440/3757] lr: 1.7037e-04 eta: 6:27:58 time: 0.4352 data_time: 0.0221 memory: 17006 grad_norm: 12.0235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0844 loss: 1.0844 2022/07/30 12:10:33 - mmengine - INFO - Epoch(train) [166][460/3757] lr: 1.7037e-04 eta: 6:27:49 time: 0.4064 data_time: 0.0197 memory: 17006 grad_norm: 12.1629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0624 loss: 1.0624 2022/07/30 12:10:41 - mmengine - INFO - Epoch(train) [166][480/3757] lr: 1.7037e-04 eta: 6:27:41 time: 0.4091 data_time: 0.0221 memory: 17006 grad_norm: 12.1385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5331 loss: 1.5331 2022/07/30 12:10:50 - mmengine - INFO - Epoch(train) [166][500/3757] lr: 1.7037e-04 eta: 6:27:33 time: 0.4228 data_time: 0.0195 memory: 17006 grad_norm: 12.3679 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0399 loss: 1.0399 2022/07/30 12:10:58 - mmengine - INFO - Epoch(train) [166][520/3757] lr: 1.7037e-04 eta: 6:27:24 time: 0.4185 data_time: 0.0231 memory: 17006 grad_norm: 11.8618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9725 loss: 0.9725 2022/07/30 12:11:07 - mmengine - INFO - Epoch(train) [166][540/3757] lr: 1.7037e-04 eta: 6:27:16 time: 0.4117 data_time: 0.0187 memory: 17006 grad_norm: 12.2580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0886 loss: 1.0886 2022/07/30 12:11:15 - mmengine - INFO - Epoch(train) [166][560/3757] lr: 1.7037e-04 eta: 6:27:08 time: 0.4086 data_time: 0.0229 memory: 17006 grad_norm: 11.9207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1067 loss: 1.1067 2022/07/30 12:11:23 - mmengine - INFO - Epoch(train) [166][580/3757] lr: 1.7037e-04 eta: 6:26:59 time: 0.4248 data_time: 0.0199 memory: 17006 grad_norm: 11.6509 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4144 loss: 1.4144 2022/07/30 12:11:32 - mmengine - INFO - Epoch(train) [166][600/3757] lr: 1.7037e-04 eta: 6:26:51 time: 0.4102 data_time: 0.0220 memory: 17006 grad_norm: 11.4930 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0479 loss: 1.0479 2022/07/30 12:11:40 - mmengine - INFO - Epoch(train) [166][620/3757] lr: 1.7037e-04 eta: 6:26:43 time: 0.4079 data_time: 0.0193 memory: 17006 grad_norm: 12.1502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2322 loss: 1.2322 2022/07/30 12:11:48 - mmengine - INFO - Epoch(train) [166][640/3757] lr: 1.7037e-04 eta: 6:26:34 time: 0.4141 data_time: 0.0226 memory: 17006 grad_norm: 12.1005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/07/30 12:11:56 - mmengine - INFO - Epoch(train) [166][660/3757] lr: 1.7037e-04 eta: 6:26:26 time: 0.4124 data_time: 0.0198 memory: 17006 grad_norm: 12.2788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1980 loss: 1.1980 2022/07/30 12:12:05 - mmengine - INFO - Epoch(train) [166][680/3757] lr: 1.7037e-04 eta: 6:26:17 time: 0.4072 data_time: 0.0211 memory: 17006 grad_norm: 12.1843 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1429 loss: 1.1429 2022/07/30 12:12:13 - mmengine - INFO - Epoch(train) [166][700/3757] lr: 1.7037e-04 eta: 6:26:09 time: 0.4086 data_time: 0.0199 memory: 17006 grad_norm: 11.4673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8870 loss: 0.8870 2022/07/30 12:12:21 - mmengine - INFO - Epoch(train) [166][720/3757] lr: 1.7037e-04 eta: 6:26:01 time: 0.4116 data_time: 0.0208 memory: 17006 grad_norm: 12.0534 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1274 loss: 1.1274 2022/07/30 12:12:29 - mmengine - INFO - Epoch(train) [166][740/3757] lr: 1.7037e-04 eta: 6:25:52 time: 0.4060 data_time: 0.0185 memory: 17006 grad_norm: 11.8715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0224 loss: 1.0224 2022/07/30 12:12:37 - mmengine - INFO - Epoch(train) [166][760/3757] lr: 1.7037e-04 eta: 6:25:44 time: 0.4114 data_time: 0.0236 memory: 17006 grad_norm: 12.1345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/07/30 12:12:46 - mmengine - INFO - Epoch(train) [166][780/3757] lr: 1.7037e-04 eta: 6:25:36 time: 0.4069 data_time: 0.0182 memory: 17006 grad_norm: 12.2002 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3092 loss: 1.3092 2022/07/30 12:12:54 - mmengine - INFO - Epoch(train) [166][800/3757] lr: 1.7037e-04 eta: 6:25:27 time: 0.4063 data_time: 0.0215 memory: 17006 grad_norm: 11.5724 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9620 loss: 0.9620 2022/07/30 12:13:02 - mmengine - INFO - Epoch(train) [166][820/3757] lr: 1.7037e-04 eta: 6:25:19 time: 0.4098 data_time: 0.0202 memory: 17006 grad_norm: 11.3712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0817 loss: 1.0817 2022/07/30 12:13:10 - mmengine - INFO - Epoch(train) [166][840/3757] lr: 1.7037e-04 eta: 6:25:11 time: 0.4247 data_time: 0.0213 memory: 17006 grad_norm: 11.9970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2561 loss: 1.2561 2022/07/30 12:13:19 - mmengine - INFO - Epoch(train) [166][860/3757] lr: 1.7037e-04 eta: 6:25:02 time: 0.4092 data_time: 0.0182 memory: 17006 grad_norm: 11.5522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1505 loss: 1.1505 2022/07/30 12:13:27 - mmengine - INFO - Epoch(train) [166][880/3757] lr: 1.7037e-04 eta: 6:24:54 time: 0.4177 data_time: 0.0258 memory: 17006 grad_norm: 11.3824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9520 loss: 0.9520 2022/07/30 12:13:35 - mmengine - INFO - Epoch(train) [166][900/3757] lr: 1.7037e-04 eta: 6:24:45 time: 0.4055 data_time: 0.0179 memory: 17006 grad_norm: 12.1869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2431 loss: 1.2431 2022/07/30 12:13:43 - mmengine - INFO - Epoch(train) [166][920/3757] lr: 1.7037e-04 eta: 6:24:37 time: 0.4072 data_time: 0.0206 memory: 17006 grad_norm: 12.4685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2225 loss: 1.2225 2022/07/30 12:13:52 - mmengine - INFO - Epoch(train) [166][940/3757] lr: 1.7037e-04 eta: 6:24:29 time: 0.4203 data_time: 0.0202 memory: 17006 grad_norm: 12.4038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3551 loss: 1.3551 2022/07/30 12:14:00 - mmengine - INFO - Epoch(train) [166][960/3757] lr: 1.7037e-04 eta: 6:24:20 time: 0.4114 data_time: 0.0216 memory: 17006 grad_norm: 12.3992 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0855 loss: 1.0855 2022/07/30 12:14:08 - mmengine - INFO - Epoch(train) [166][980/3757] lr: 1.7037e-04 eta: 6:24:12 time: 0.4152 data_time: 0.0182 memory: 17006 grad_norm: 11.1880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8087 loss: 0.8087 2022/07/30 12:14:17 - mmengine - INFO - Epoch(train) [166][1000/3757] lr: 1.7037e-04 eta: 6:24:04 time: 0.4138 data_time: 0.0216 memory: 17006 grad_norm: 11.9409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9033 loss: 0.9033 2022/07/30 12:14:25 - mmengine - INFO - Epoch(train) [166][1020/3757] lr: 1.7037e-04 eta: 6:23:55 time: 0.4050 data_time: 0.0200 memory: 17006 grad_norm: 11.7329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/07/30 12:14:33 - mmengine - INFO - Epoch(train) [166][1040/3757] lr: 1.7037e-04 eta: 6:23:47 time: 0.4102 data_time: 0.0230 memory: 17006 grad_norm: 11.8163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1032 loss: 1.1032 2022/07/30 12:14:41 - mmengine - INFO - Epoch(train) [166][1060/3757] lr: 1.7037e-04 eta: 6:23:39 time: 0.4102 data_time: 0.0214 memory: 17006 grad_norm: 12.6769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4725 loss: 1.4725 2022/07/30 12:14:50 - mmengine - INFO - Epoch(train) [166][1080/3757] lr: 1.7037e-04 eta: 6:23:30 time: 0.4187 data_time: 0.0231 memory: 17006 grad_norm: 11.9274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/07/30 12:14:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:14:58 - mmengine - INFO - Epoch(train) [166][1100/3757] lr: 1.7037e-04 eta: 6:23:22 time: 0.4127 data_time: 0.0195 memory: 17006 grad_norm: 12.4229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2513 loss: 1.2513 2022/07/30 12:15:07 - mmengine - INFO - Epoch(train) [166][1120/3757] lr: 1.7037e-04 eta: 6:23:14 time: 0.4414 data_time: 0.0269 memory: 17006 grad_norm: 11.9114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4301 loss: 1.4301 2022/07/30 12:15:15 - mmengine - INFO - Epoch(train) [166][1140/3757] lr: 1.7037e-04 eta: 6:23:05 time: 0.4042 data_time: 0.0190 memory: 17006 grad_norm: 11.9917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1300 loss: 1.1300 2022/07/30 12:15:23 - mmengine - INFO - Epoch(train) [166][1160/3757] lr: 1.7037e-04 eta: 6:22:57 time: 0.4122 data_time: 0.0229 memory: 17006 grad_norm: 11.8744 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9437 loss: 0.9437 2022/07/30 12:15:32 - mmengine - INFO - Epoch(train) [166][1180/3757] lr: 1.7037e-04 eta: 6:22:49 time: 0.4230 data_time: 0.0213 memory: 17006 grad_norm: 12.2980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0663 loss: 1.0663 2022/07/30 12:15:40 - mmengine - INFO - Epoch(train) [166][1200/3757] lr: 1.7037e-04 eta: 6:22:40 time: 0.4128 data_time: 0.0248 memory: 17006 grad_norm: 11.9461 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2980 loss: 1.2980 2022/07/30 12:15:48 - mmengine - INFO - Epoch(train) [166][1220/3757] lr: 1.7037e-04 eta: 6:22:32 time: 0.4099 data_time: 0.0205 memory: 17006 grad_norm: 11.6884 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9653 loss: 0.9653 2022/07/30 12:15:57 - mmengine - INFO - Epoch(train) [166][1240/3757] lr: 1.7037e-04 eta: 6:22:24 time: 0.4101 data_time: 0.0218 memory: 17006 grad_norm: 12.1872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9816 loss: 0.9816 2022/07/30 12:16:05 - mmengine - INFO - Epoch(train) [166][1260/3757] lr: 1.7037e-04 eta: 6:22:15 time: 0.4070 data_time: 0.0184 memory: 17006 grad_norm: 12.7448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2430 loss: 1.2430 2022/07/30 12:16:13 - mmengine - INFO - Epoch(train) [166][1280/3757] lr: 1.7037e-04 eta: 6:22:07 time: 0.4156 data_time: 0.0223 memory: 17006 grad_norm: 11.9307 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/07/30 12:16:21 - mmengine - INFO - Epoch(train) [166][1300/3757] lr: 1.7037e-04 eta: 6:21:59 time: 0.4185 data_time: 0.0190 memory: 17006 grad_norm: 12.4429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3821 loss: 1.3821 2022/07/30 12:16:30 - mmengine - INFO - Epoch(train) [166][1320/3757] lr: 1.7037e-04 eta: 6:21:50 time: 0.4146 data_time: 0.0242 memory: 17006 grad_norm: 12.2176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2406 loss: 1.2406 2022/07/30 12:16:38 - mmengine - INFO - Epoch(train) [166][1340/3757] lr: 1.7037e-04 eta: 6:21:42 time: 0.4125 data_time: 0.0190 memory: 17006 grad_norm: 12.5738 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0968 loss: 1.0968 2022/07/30 12:16:47 - mmengine - INFO - Epoch(train) [166][1360/3757] lr: 1.7037e-04 eta: 6:21:34 time: 0.4225 data_time: 0.0225 memory: 17006 grad_norm: 12.3819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2508 loss: 1.2508 2022/07/30 12:16:55 - mmengine - INFO - Epoch(train) [166][1380/3757] lr: 1.7037e-04 eta: 6:21:25 time: 0.4049 data_time: 0.0191 memory: 17006 grad_norm: 11.8943 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9948 loss: 0.9948 2022/07/30 12:17:03 - mmengine - INFO - Epoch(train) [166][1400/3757] lr: 1.7037e-04 eta: 6:21:17 time: 0.4091 data_time: 0.0220 memory: 17006 grad_norm: 12.3465 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1284 loss: 1.1284 2022/07/30 12:17:11 - mmengine - INFO - Epoch(train) [166][1420/3757] lr: 1.7037e-04 eta: 6:21:09 time: 0.4140 data_time: 0.0203 memory: 17006 grad_norm: 12.5056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9769 loss: 0.9769 2022/07/30 12:17:19 - mmengine - INFO - Epoch(train) [166][1440/3757] lr: 1.7037e-04 eta: 6:21:00 time: 0.4087 data_time: 0.0228 memory: 17006 grad_norm: 11.9739 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/07/30 12:17:28 - mmengine - INFO - Epoch(train) [166][1460/3757] lr: 1.7037e-04 eta: 6:20:52 time: 0.4427 data_time: 0.0222 memory: 17006 grad_norm: 12.4311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1657 loss: 1.1657 2022/07/30 12:17:37 - mmengine - INFO - Epoch(train) [166][1480/3757] lr: 1.7037e-04 eta: 6:20:44 time: 0.4109 data_time: 0.0228 memory: 17006 grad_norm: 11.6745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2739 loss: 1.2739 2022/07/30 12:17:45 - mmengine - INFO - Epoch(train) [166][1500/3757] lr: 1.7037e-04 eta: 6:20:35 time: 0.4067 data_time: 0.0197 memory: 17006 grad_norm: 12.3511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9073 loss: 0.9073 2022/07/30 12:17:53 - mmengine - INFO - Epoch(train) [166][1520/3757] lr: 1.7037e-04 eta: 6:20:27 time: 0.4245 data_time: 0.0212 memory: 17006 grad_norm: 12.1222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2414 loss: 1.2414 2022/07/30 12:18:01 - mmengine - INFO - Epoch(train) [166][1540/3757] lr: 1.7037e-04 eta: 6:20:19 time: 0.4066 data_time: 0.0191 memory: 17006 grad_norm: 11.7459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0371 loss: 1.0371 2022/07/30 12:18:10 - mmengine - INFO - Epoch(train) [166][1560/3757] lr: 1.7037e-04 eta: 6:20:10 time: 0.4380 data_time: 0.0227 memory: 17006 grad_norm: 12.0431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0926 loss: 1.0926 2022/07/30 12:18:18 - mmengine - INFO - Epoch(train) [166][1580/3757] lr: 1.7037e-04 eta: 6:20:02 time: 0.4062 data_time: 0.0186 memory: 17006 grad_norm: 12.6811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1379 loss: 1.1379 2022/07/30 12:18:28 - mmengine - INFO - Epoch(train) [166][1600/3757] lr: 1.7037e-04 eta: 6:19:54 time: 0.4565 data_time: 0.0255 memory: 17006 grad_norm: 12.2275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2490 loss: 1.2490 2022/07/30 12:18:36 - mmengine - INFO - Epoch(train) [166][1620/3757] lr: 1.7037e-04 eta: 6:19:46 time: 0.4046 data_time: 0.0192 memory: 17006 grad_norm: 11.9940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1371 loss: 1.1371 2022/07/30 12:18:44 - mmengine - INFO - Epoch(train) [166][1640/3757] lr: 1.7037e-04 eta: 6:19:37 time: 0.4097 data_time: 0.0209 memory: 17006 grad_norm: 12.0530 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2111 loss: 1.2111 2022/07/30 12:18:52 - mmengine - INFO - Epoch(train) [166][1660/3757] lr: 1.7037e-04 eta: 6:19:29 time: 0.4101 data_time: 0.0213 memory: 17006 grad_norm: 12.5320 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1142 loss: 1.1142 2022/07/30 12:19:00 - mmengine - INFO - Epoch(train) [166][1680/3757] lr: 1.7037e-04 eta: 6:19:21 time: 0.4094 data_time: 0.0219 memory: 17006 grad_norm: 12.0198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9050 loss: 0.9050 2022/07/30 12:19:09 - mmengine - INFO - Epoch(train) [166][1700/3757] lr: 1.7037e-04 eta: 6:19:12 time: 0.4100 data_time: 0.0206 memory: 17006 grad_norm: 12.6032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2378 loss: 1.2378 2022/07/30 12:19:17 - mmengine - INFO - Epoch(train) [166][1720/3757] lr: 1.7037e-04 eta: 6:19:04 time: 0.4118 data_time: 0.0219 memory: 17006 grad_norm: 12.8850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2479 loss: 1.2479 2022/07/30 12:19:25 - mmengine - INFO - Epoch(train) [166][1740/3757] lr: 1.7037e-04 eta: 6:18:55 time: 0.4042 data_time: 0.0185 memory: 17006 grad_norm: 11.9979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1986 loss: 1.1986 2022/07/30 12:19:33 - mmengine - INFO - Epoch(train) [166][1760/3757] lr: 1.7037e-04 eta: 6:18:47 time: 0.4143 data_time: 0.0218 memory: 17006 grad_norm: 11.9672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0991 loss: 1.0991 2022/07/30 12:19:41 - mmengine - INFO - Epoch(train) [166][1780/3757] lr: 1.7037e-04 eta: 6:18:39 time: 0.4044 data_time: 0.0202 memory: 17006 grad_norm: 12.5198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3292 loss: 1.3292 2022/07/30 12:19:50 - mmengine - INFO - Epoch(train) [166][1800/3757] lr: 1.7037e-04 eta: 6:18:30 time: 0.4254 data_time: 0.0238 memory: 17006 grad_norm: 11.7507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2092 loss: 1.2092 2022/07/30 12:19:58 - mmengine - INFO - Epoch(train) [166][1820/3757] lr: 1.7037e-04 eta: 6:18:22 time: 0.4071 data_time: 0.0201 memory: 17006 grad_norm: 11.8530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1881 loss: 1.1881 2022/07/30 12:20:07 - mmengine - INFO - Epoch(train) [166][1840/3757] lr: 1.7037e-04 eta: 6:18:14 time: 0.4226 data_time: 0.0215 memory: 17006 grad_norm: 12.5638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0306 loss: 1.0306 2022/07/30 12:20:15 - mmengine - INFO - Epoch(train) [166][1860/3757] lr: 1.7037e-04 eta: 6:18:05 time: 0.4055 data_time: 0.0184 memory: 17006 grad_norm: 12.1832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3567 loss: 1.3567 2022/07/30 12:20:23 - mmengine - INFO - Epoch(train) [166][1880/3757] lr: 1.7037e-04 eta: 6:17:57 time: 0.4082 data_time: 0.0220 memory: 17006 grad_norm: 12.0091 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2928 loss: 1.2928 2022/07/30 12:20:31 - mmengine - INFO - Epoch(train) [166][1900/3757] lr: 1.7037e-04 eta: 6:17:49 time: 0.4123 data_time: 0.0207 memory: 17006 grad_norm: 12.5540 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2996 loss: 1.2996 2022/07/30 12:20:39 - mmengine - INFO - Epoch(train) [166][1920/3757] lr: 1.7037e-04 eta: 6:17:40 time: 0.4087 data_time: 0.0223 memory: 17006 grad_norm: 11.9349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0644 loss: 1.0644 2022/07/30 12:20:48 - mmengine - INFO - Epoch(train) [166][1940/3757] lr: 1.7037e-04 eta: 6:17:32 time: 0.4170 data_time: 0.0213 memory: 17006 grad_norm: 12.5302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2715 loss: 1.2715 2022/07/30 12:20:56 - mmengine - INFO - Epoch(train) [166][1960/3757] lr: 1.7037e-04 eta: 6:17:24 time: 0.4058 data_time: 0.0205 memory: 17006 grad_norm: 12.1318 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0604 loss: 1.0604 2022/07/30 12:21:04 - mmengine - INFO - Epoch(train) [166][1980/3757] lr: 1.7037e-04 eta: 6:17:15 time: 0.4094 data_time: 0.0191 memory: 17006 grad_norm: 12.1653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0739 loss: 1.0739 2022/07/30 12:21:12 - mmengine - INFO - Epoch(train) [166][2000/3757] lr: 1.7037e-04 eta: 6:17:07 time: 0.4133 data_time: 0.0213 memory: 17006 grad_norm: 13.0196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4614 loss: 1.4614 2022/07/30 12:21:21 - mmengine - INFO - Epoch(train) [166][2020/3757] lr: 1.7037e-04 eta: 6:16:58 time: 0.4068 data_time: 0.0196 memory: 17006 grad_norm: 12.4342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/07/30 12:21:29 - mmengine - INFO - Epoch(train) [166][2040/3757] lr: 1.7037e-04 eta: 6:16:50 time: 0.4244 data_time: 0.0221 memory: 17006 grad_norm: 11.4019 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9516 loss: 0.9516 2022/07/30 12:21:37 - mmengine - INFO - Epoch(train) [166][2060/3757] lr: 1.7037e-04 eta: 6:16:42 time: 0.4055 data_time: 0.0195 memory: 17006 grad_norm: 12.7471 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2744 loss: 1.2744 2022/07/30 12:21:45 - mmengine - INFO - Epoch(train) [166][2080/3757] lr: 1.7037e-04 eta: 6:16:33 time: 0.4073 data_time: 0.0218 memory: 17006 grad_norm: 12.5632 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3685 loss: 1.3685 2022/07/30 12:21:52 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:21:54 - mmengine - INFO - Epoch(train) [166][2100/3757] lr: 1.7037e-04 eta: 6:16:25 time: 0.4179 data_time: 0.0206 memory: 17006 grad_norm: 12.4857 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2842 loss: 1.2842 2022/07/30 12:22:02 - mmengine - INFO - Epoch(train) [166][2120/3757] lr: 1.7037e-04 eta: 6:16:17 time: 0.4072 data_time: 0.0215 memory: 17006 grad_norm: 12.4707 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3791 loss: 1.3791 2022/07/30 12:22:10 - mmengine - INFO - Epoch(train) [166][2140/3757] lr: 1.7037e-04 eta: 6:16:08 time: 0.4113 data_time: 0.0205 memory: 17006 grad_norm: 12.7699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1089 loss: 1.1089 2022/07/30 12:22:19 - mmengine - INFO - Epoch(train) [166][2160/3757] lr: 1.7037e-04 eta: 6:16:00 time: 0.4237 data_time: 0.0232 memory: 17006 grad_norm: 11.9421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9428 loss: 0.9428 2022/07/30 12:22:27 - mmengine - INFO - Epoch(train) [166][2180/3757] lr: 1.7037e-04 eta: 6:15:52 time: 0.4113 data_time: 0.0208 memory: 17006 grad_norm: 12.0251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2049 loss: 1.2049 2022/07/30 12:22:35 - mmengine - INFO - Epoch(train) [166][2200/3757] lr: 1.7037e-04 eta: 6:15:43 time: 0.4074 data_time: 0.0221 memory: 17006 grad_norm: 12.2815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2205 loss: 1.2205 2022/07/30 12:22:44 - mmengine - INFO - Epoch(train) [166][2220/3757] lr: 1.7037e-04 eta: 6:15:35 time: 0.4183 data_time: 0.0204 memory: 17006 grad_norm: 12.1689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1828 loss: 1.1828 2022/07/30 12:22:52 - mmengine - INFO - Epoch(train) [166][2240/3757] lr: 1.7037e-04 eta: 6:15:27 time: 0.4095 data_time: 0.0220 memory: 17006 grad_norm: 12.1552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/07/30 12:23:00 - mmengine - INFO - Epoch(train) [166][2260/3757] lr: 1.7037e-04 eta: 6:15:18 time: 0.4222 data_time: 0.0206 memory: 17006 grad_norm: 12.3388 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1574 loss: 1.1574 2022/07/30 12:23:08 - mmengine - INFO - Epoch(train) [166][2280/3757] lr: 1.7037e-04 eta: 6:15:10 time: 0.4075 data_time: 0.0217 memory: 17006 grad_norm: 12.5613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2468 loss: 1.2468 2022/07/30 12:23:17 - mmengine - INFO - Epoch(train) [166][2300/3757] lr: 1.7037e-04 eta: 6:15:02 time: 0.4170 data_time: 0.0203 memory: 17006 grad_norm: 11.8962 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0707 loss: 1.0707 2022/07/30 12:23:25 - mmengine - INFO - Epoch(train) [166][2320/3757] lr: 1.7037e-04 eta: 6:14:53 time: 0.4068 data_time: 0.0229 memory: 17006 grad_norm: 11.9302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/07/30 12:23:33 - mmengine - INFO - Epoch(train) [166][2340/3757] lr: 1.7037e-04 eta: 6:14:45 time: 0.4078 data_time: 0.0211 memory: 17006 grad_norm: 12.3561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0540 loss: 1.0540 2022/07/30 12:23:42 - mmengine - INFO - Epoch(train) [166][2360/3757] lr: 1.7037e-04 eta: 6:14:37 time: 0.4172 data_time: 0.0219 memory: 17006 grad_norm: 12.6096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0156 loss: 1.0156 2022/07/30 12:23:50 - mmengine - INFO - Epoch(train) [166][2380/3757] lr: 1.7037e-04 eta: 6:14:28 time: 0.4076 data_time: 0.0218 memory: 17006 grad_norm: 11.4856 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9956 loss: 0.9956 2022/07/30 12:23:58 - mmengine - INFO - Epoch(train) [166][2400/3757] lr: 1.7037e-04 eta: 6:14:20 time: 0.4164 data_time: 0.0230 memory: 17006 grad_norm: 12.6320 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0258 loss: 1.0258 2022/07/30 12:24:06 - mmengine - INFO - Epoch(train) [166][2420/3757] lr: 1.7037e-04 eta: 6:14:12 time: 0.4069 data_time: 0.0189 memory: 17006 grad_norm: 11.8998 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1367 loss: 1.1367 2022/07/30 12:24:14 - mmengine - INFO - Epoch(train) [166][2440/3757] lr: 1.7037e-04 eta: 6:14:03 time: 0.4082 data_time: 0.0226 memory: 17006 grad_norm: 13.0111 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1011 loss: 1.1011 2022/07/30 12:24:23 - mmengine - INFO - Epoch(train) [166][2460/3757] lr: 1.7037e-04 eta: 6:13:55 time: 0.4204 data_time: 0.0185 memory: 17006 grad_norm: 11.8749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1839 loss: 1.1839 2022/07/30 12:24:31 - mmengine - INFO - Epoch(train) [166][2480/3757] lr: 1.7037e-04 eta: 6:13:46 time: 0.4117 data_time: 0.0230 memory: 17006 grad_norm: 12.1197 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1929 loss: 1.1929 2022/07/30 12:24:40 - mmengine - INFO - Epoch(train) [166][2500/3757] lr: 1.7037e-04 eta: 6:13:38 time: 0.4202 data_time: 0.0205 memory: 17006 grad_norm: 12.5236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0839 loss: 1.0839 2022/07/30 12:24:48 - mmengine - INFO - Epoch(train) [166][2520/3757] lr: 1.7037e-04 eta: 6:13:30 time: 0.4091 data_time: 0.0223 memory: 17006 grad_norm: 12.6719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7824 loss: 0.7824 2022/07/30 12:24:56 - mmengine - INFO - Epoch(train) [166][2540/3757] lr: 1.7037e-04 eta: 6:13:21 time: 0.4055 data_time: 0.0184 memory: 17006 grad_norm: 12.1954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9973 loss: 0.9973 2022/07/30 12:25:05 - mmengine - INFO - Epoch(train) [166][2560/3757] lr: 1.7037e-04 eta: 6:13:13 time: 0.4427 data_time: 0.0252 memory: 17006 grad_norm: 12.0085 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5129 loss: 1.5129 2022/07/30 12:25:13 - mmengine - INFO - Epoch(train) [166][2580/3757] lr: 1.7037e-04 eta: 6:13:05 time: 0.4086 data_time: 0.0203 memory: 17006 grad_norm: 11.7519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/07/30 12:25:21 - mmengine - INFO - Epoch(train) [166][2600/3757] lr: 1.7037e-04 eta: 6:12:57 time: 0.4160 data_time: 0.0214 memory: 17006 grad_norm: 12.1651 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0053 loss: 1.0053 2022/07/30 12:25:30 - mmengine - INFO - Epoch(train) [166][2620/3757] lr: 1.7037e-04 eta: 6:12:48 time: 0.4173 data_time: 0.0202 memory: 17006 grad_norm: 12.4045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1187 loss: 1.1187 2022/07/30 12:25:38 - mmengine - INFO - Epoch(train) [166][2640/3757] lr: 1.7037e-04 eta: 6:12:40 time: 0.4234 data_time: 0.0231 memory: 17006 grad_norm: 12.2665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2455 loss: 1.2455 2022/07/30 12:25:46 - mmengine - INFO - Epoch(train) [166][2660/3757] lr: 1.7037e-04 eta: 6:12:32 time: 0.4055 data_time: 0.0177 memory: 17006 grad_norm: 12.2732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1525 loss: 1.1525 2022/07/30 12:25:55 - mmengine - INFO - Epoch(train) [166][2680/3757] lr: 1.7037e-04 eta: 6:12:23 time: 0.4161 data_time: 0.0251 memory: 17006 grad_norm: 12.0642 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1539 loss: 1.1539 2022/07/30 12:26:03 - mmengine - INFO - Epoch(train) [166][2700/3757] lr: 1.7037e-04 eta: 6:12:15 time: 0.4069 data_time: 0.0192 memory: 17006 grad_norm: 11.8166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/07/30 12:26:11 - mmengine - INFO - Epoch(train) [166][2720/3757] lr: 1.7037e-04 eta: 6:12:07 time: 0.4107 data_time: 0.0220 memory: 17006 grad_norm: 12.5717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0023 loss: 1.0023 2022/07/30 12:26:19 - mmengine - INFO - Epoch(train) [166][2740/3757] lr: 1.7037e-04 eta: 6:11:58 time: 0.4099 data_time: 0.0207 memory: 17006 grad_norm: 12.1507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1548 loss: 1.1548 2022/07/30 12:26:28 - mmengine - INFO - Epoch(train) [166][2760/3757] lr: 1.7037e-04 eta: 6:11:50 time: 0.4068 data_time: 0.0215 memory: 17006 grad_norm: 11.8991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1489 loss: 1.1489 2022/07/30 12:26:36 - mmengine - INFO - Epoch(train) [166][2780/3757] lr: 1.7037e-04 eta: 6:11:41 time: 0.4053 data_time: 0.0183 memory: 17006 grad_norm: 12.0130 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/07/30 12:26:44 - mmengine - INFO - Epoch(train) [166][2800/3757] lr: 1.7037e-04 eta: 6:11:33 time: 0.4157 data_time: 0.0225 memory: 17006 grad_norm: 12.3573 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1429 loss: 1.1429 2022/07/30 12:26:52 - mmengine - INFO - Epoch(train) [166][2820/3757] lr: 1.7037e-04 eta: 6:11:25 time: 0.4138 data_time: 0.0195 memory: 17006 grad_norm: 12.2342 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3390 loss: 1.3390 2022/07/30 12:27:01 - mmengine - INFO - Epoch(train) [166][2840/3757] lr: 1.7037e-04 eta: 6:11:16 time: 0.4149 data_time: 0.0233 memory: 17006 grad_norm: 11.9582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1790 loss: 1.1790 2022/07/30 12:27:09 - mmengine - INFO - Epoch(train) [166][2860/3757] lr: 1.7037e-04 eta: 6:11:08 time: 0.4298 data_time: 0.0203 memory: 17006 grad_norm: 11.8447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9818 loss: 0.9818 2022/07/30 12:27:18 - mmengine - INFO - Epoch(train) [166][2880/3757] lr: 1.7037e-04 eta: 6:11:00 time: 0.4106 data_time: 0.0217 memory: 17006 grad_norm: 11.7048 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9886 loss: 0.9886 2022/07/30 12:27:26 - mmengine - INFO - Epoch(train) [166][2900/3757] lr: 1.7037e-04 eta: 6:10:51 time: 0.4052 data_time: 0.0188 memory: 17006 grad_norm: 12.1001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9301 loss: 0.9301 2022/07/30 12:27:34 - mmengine - INFO - Epoch(train) [166][2920/3757] lr: 1.7037e-04 eta: 6:10:43 time: 0.4187 data_time: 0.0213 memory: 17006 grad_norm: 11.9783 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0710 loss: 1.0710 2022/07/30 12:27:42 - mmengine - INFO - Epoch(train) [166][2940/3757] lr: 1.7037e-04 eta: 6:10:35 time: 0.4068 data_time: 0.0187 memory: 17006 grad_norm: 11.8985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1728 loss: 1.1728 2022/07/30 12:27:51 - mmengine - INFO - Epoch(train) [166][2960/3757] lr: 1.7037e-04 eta: 6:10:26 time: 0.4249 data_time: 0.0228 memory: 17006 grad_norm: 11.6630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3464 loss: 1.3464 2022/07/30 12:27:59 - mmengine - INFO - Epoch(train) [166][2980/3757] lr: 1.7037e-04 eta: 6:10:18 time: 0.4069 data_time: 0.0197 memory: 17006 grad_norm: 12.0505 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2391 loss: 1.2391 2022/07/30 12:28:08 - mmengine - INFO - Epoch(train) [166][3000/3757] lr: 1.7037e-04 eta: 6:10:10 time: 0.4394 data_time: 0.0226 memory: 17006 grad_norm: 11.9987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0323 loss: 1.0323 2022/07/30 12:28:16 - mmengine - INFO - Epoch(train) [166][3020/3757] lr: 1.7037e-04 eta: 6:10:01 time: 0.4063 data_time: 0.0192 memory: 17006 grad_norm: 12.3442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1267 loss: 1.1267 2022/07/30 12:28:24 - mmengine - INFO - Epoch(train) [166][3040/3757] lr: 1.7037e-04 eta: 6:09:53 time: 0.4089 data_time: 0.0219 memory: 17006 grad_norm: 12.4858 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0954 loss: 1.0954 2022/07/30 12:28:33 - mmengine - INFO - Epoch(train) [166][3060/3757] lr: 1.7037e-04 eta: 6:09:45 time: 0.4280 data_time: 0.0190 memory: 17006 grad_norm: 11.7557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1525 loss: 1.1525 2022/07/30 12:28:41 - mmengine - INFO - Epoch(train) [166][3080/3757] lr: 1.7037e-04 eta: 6:09:36 time: 0.4110 data_time: 0.0226 memory: 17006 grad_norm: 12.0133 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.0738 loss: 1.0738 2022/07/30 12:28:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:28:50 - mmengine - INFO - Epoch(train) [166][3100/3757] lr: 1.7037e-04 eta: 6:09:28 time: 0.4414 data_time: 0.0218 memory: 17006 grad_norm: 12.2776 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3061 loss: 1.3061 2022/07/30 12:28:58 - mmengine - INFO - Epoch(train) [166][3120/3757] lr: 1.7037e-04 eta: 6:09:20 time: 0.4063 data_time: 0.0215 memory: 17006 grad_norm: 11.8335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1211 loss: 1.1211 2022/07/30 12:29:06 - mmengine - INFO - Epoch(train) [166][3140/3757] lr: 1.7037e-04 eta: 6:09:12 time: 0.4051 data_time: 0.0185 memory: 17006 grad_norm: 12.1145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2662 loss: 1.2662 2022/07/30 12:29:15 - mmengine - INFO - Epoch(train) [166][3160/3757] lr: 1.7037e-04 eta: 6:09:03 time: 0.4195 data_time: 0.0217 memory: 17006 grad_norm: 12.2647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9941 loss: 0.9941 2022/07/30 12:29:23 - mmengine - INFO - Epoch(train) [166][3180/3757] lr: 1.7037e-04 eta: 6:08:55 time: 0.4057 data_time: 0.0183 memory: 17006 grad_norm: 12.6853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1166 loss: 1.1166 2022/07/30 12:29:32 - mmengine - INFO - Epoch(train) [166][3200/3757] lr: 1.7037e-04 eta: 6:08:47 time: 0.4511 data_time: 0.0252 memory: 17006 grad_norm: 12.3523 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1475 loss: 1.1475 2022/07/30 12:29:40 - mmengine - INFO - Epoch(train) [166][3220/3757] lr: 1.7037e-04 eta: 6:08:38 time: 0.4080 data_time: 0.0194 memory: 17006 grad_norm: 12.7484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0376 loss: 1.0376 2022/07/30 12:29:48 - mmengine - INFO - Epoch(train) [166][3240/3757] lr: 1.7037e-04 eta: 6:08:30 time: 0.4232 data_time: 0.0220 memory: 17006 grad_norm: 11.1620 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9967 loss: 0.9967 2022/07/30 12:29:57 - mmengine - INFO - Epoch(train) [166][3260/3757] lr: 1.7037e-04 eta: 6:08:22 time: 0.4052 data_time: 0.0181 memory: 17006 grad_norm: 12.3971 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3915 loss: 1.3915 2022/07/30 12:30:05 - mmengine - INFO - Epoch(train) [166][3280/3757] lr: 1.7037e-04 eta: 6:08:13 time: 0.4099 data_time: 0.0223 memory: 17006 grad_norm: 12.1136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2582 loss: 1.2582 2022/07/30 12:30:14 - mmengine - INFO - Epoch(train) [166][3300/3757] lr: 1.7037e-04 eta: 6:08:05 time: 0.4449 data_time: 0.0199 memory: 17006 grad_norm: 12.0637 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0593 loss: 1.0593 2022/07/30 12:30:22 - mmengine - INFO - Epoch(train) [166][3320/3757] lr: 1.7037e-04 eta: 6:07:57 time: 0.4084 data_time: 0.0221 memory: 17006 grad_norm: 12.3473 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2041 loss: 1.2041 2022/07/30 12:30:31 - mmengine - INFO - Epoch(train) [166][3340/3757] lr: 1.7037e-04 eta: 6:07:49 time: 0.4438 data_time: 0.0201 memory: 17006 grad_norm: 12.0361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3712 loss: 1.3712 2022/07/30 12:30:39 - mmengine - INFO - Epoch(train) [166][3360/3757] lr: 1.7037e-04 eta: 6:07:40 time: 0.4090 data_time: 0.0233 memory: 17006 grad_norm: 12.0581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9284 loss: 0.9284 2022/07/30 12:30:47 - mmengine - INFO - Epoch(train) [166][3380/3757] lr: 1.7037e-04 eta: 6:07:32 time: 0.4122 data_time: 0.0179 memory: 17006 grad_norm: 12.0949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2002 loss: 1.2002 2022/07/30 12:30:56 - mmengine - INFO - Epoch(train) [166][3400/3757] lr: 1.7037e-04 eta: 6:07:24 time: 0.4098 data_time: 0.0207 memory: 17006 grad_norm: 12.1457 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2860 loss: 1.2860 2022/07/30 12:31:04 - mmengine - INFO - Epoch(train) [166][3420/3757] lr: 1.7037e-04 eta: 6:07:15 time: 0.4071 data_time: 0.0204 memory: 17006 grad_norm: 11.9922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/07/30 12:31:13 - mmengine - INFO - Epoch(train) [166][3440/3757] lr: 1.7037e-04 eta: 6:07:07 time: 0.4589 data_time: 0.0238 memory: 17006 grad_norm: 12.4380 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3203 loss: 1.3203 2022/07/30 12:31:21 - mmengine - INFO - Epoch(train) [166][3460/3757] lr: 1.7037e-04 eta: 6:06:59 time: 0.4109 data_time: 0.0210 memory: 17006 grad_norm: 11.7564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1652 loss: 1.1652 2022/07/30 12:31:29 - mmengine - INFO - Epoch(train) [166][3480/3757] lr: 1.7037e-04 eta: 6:06:50 time: 0.4145 data_time: 0.0238 memory: 17006 grad_norm: 12.4106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3132 loss: 1.3132 2022/07/30 12:31:38 - mmengine - INFO - Epoch(train) [166][3500/3757] lr: 1.7037e-04 eta: 6:06:42 time: 0.4094 data_time: 0.0216 memory: 17006 grad_norm: 11.6346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9774 loss: 0.9774 2022/07/30 12:31:46 - mmengine - INFO - Epoch(train) [166][3520/3757] lr: 1.7037e-04 eta: 6:06:34 time: 0.4054 data_time: 0.0215 memory: 17006 grad_norm: 12.1442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1146 loss: 1.1146 2022/07/30 12:31:54 - mmengine - INFO - Epoch(train) [166][3540/3757] lr: 1.7037e-04 eta: 6:06:25 time: 0.4224 data_time: 0.0195 memory: 17006 grad_norm: 12.0390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2006 loss: 1.2006 2022/07/30 12:32:03 - mmengine - INFO - Epoch(train) [166][3560/3757] lr: 1.7037e-04 eta: 6:06:17 time: 0.4212 data_time: 0.0217 memory: 17006 grad_norm: 11.7587 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9856 loss: 0.9856 2022/07/30 12:32:11 - mmengine - INFO - Epoch(train) [166][3580/3757] lr: 1.7037e-04 eta: 6:06:09 time: 0.4157 data_time: 0.0196 memory: 17006 grad_norm: 12.1268 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/07/30 12:32:19 - mmengine - INFO - Epoch(train) [166][3600/3757] lr: 1.7037e-04 eta: 6:06:00 time: 0.4116 data_time: 0.0225 memory: 17006 grad_norm: 12.0727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1187 loss: 1.1187 2022/07/30 12:32:28 - mmengine - INFO - Epoch(train) [166][3620/3757] lr: 1.7037e-04 eta: 6:05:52 time: 0.4115 data_time: 0.0201 memory: 17006 grad_norm: 12.2045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/07/30 12:32:36 - mmengine - INFO - Epoch(train) [166][3640/3757] lr: 1.7037e-04 eta: 6:05:44 time: 0.4086 data_time: 0.0213 memory: 17006 grad_norm: 11.6435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0184 loss: 1.0184 2022/07/30 12:32:44 - mmengine - INFO - Epoch(train) [166][3660/3757] lr: 1.7037e-04 eta: 6:05:35 time: 0.4182 data_time: 0.0203 memory: 17006 grad_norm: 12.3129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1784 loss: 1.1784 2022/07/30 12:32:53 - mmengine - INFO - Epoch(train) [166][3680/3757] lr: 1.7037e-04 eta: 6:05:27 time: 0.4131 data_time: 0.0226 memory: 17006 grad_norm: 12.2066 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0760 loss: 1.0760 2022/07/30 12:33:01 - mmengine - INFO - Epoch(train) [166][3700/3757] lr: 1.7037e-04 eta: 6:05:19 time: 0.4121 data_time: 0.0199 memory: 17006 grad_norm: 12.0808 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0751 loss: 1.0751 2022/07/30 12:33:09 - mmengine - INFO - Epoch(train) [166][3720/3757] lr: 1.7037e-04 eta: 6:05:10 time: 0.4125 data_time: 0.0220 memory: 17006 grad_norm: 12.0278 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2128 loss: 1.2128 2022/07/30 12:33:17 - mmengine - INFO - Epoch(train) [166][3740/3757] lr: 1.7037e-04 eta: 6:05:02 time: 0.4083 data_time: 0.0184 memory: 17006 grad_norm: 11.7655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2478 loss: 1.2478 2022/07/30 12:33:24 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:33:24 - mmengine - INFO - Epoch(train) [166][3757/3757] lr: 1.7037e-04 eta: 6:05:02 time: 0.4053 data_time: 0.0188 memory: 17006 grad_norm: 12.1508 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1887 loss: 1.1887 2022/07/30 12:33:24 - mmengine - INFO - Saving checkpoint at 166 epochs 2022/07/30 12:33:36 - mmengine - INFO - Epoch(train) [167][20/3757] lr: 1.4852e-04 eta: 6:04:45 time: 0.4499 data_time: 0.0643 memory: 17006 grad_norm: 12.3789 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9921 loss: 0.9921 2022/07/30 12:33:44 - mmengine - INFO - Epoch(train) [167][40/3757] lr: 1.4852e-04 eta: 6:04:36 time: 0.4207 data_time: 0.0238 memory: 17006 grad_norm: 11.9167 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2045 loss: 1.2045 2022/07/30 12:33:53 - mmengine - INFO - Epoch(train) [167][60/3757] lr: 1.4852e-04 eta: 6:04:28 time: 0.4127 data_time: 0.0219 memory: 17006 grad_norm: 11.9639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8596 loss: 0.8596 2022/07/30 12:34:01 - mmengine - INFO - Epoch(train) [167][80/3757] lr: 1.4852e-04 eta: 6:04:20 time: 0.4126 data_time: 0.0230 memory: 17006 grad_norm: 12.0513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0289 loss: 1.0289 2022/07/30 12:34:10 - mmengine - INFO - Epoch(train) [167][100/3757] lr: 1.4852e-04 eta: 6:04:11 time: 0.4283 data_time: 0.0228 memory: 17006 grad_norm: 11.6623 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1215 loss: 1.1215 2022/07/30 12:34:18 - mmengine - INFO - Epoch(train) [167][120/3757] lr: 1.4852e-04 eta: 6:04:03 time: 0.4078 data_time: 0.0220 memory: 17006 grad_norm: 12.2104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1107 loss: 1.1107 2022/07/30 12:34:26 - mmengine - INFO - Epoch(train) [167][140/3757] lr: 1.4852e-04 eta: 6:03:55 time: 0.4052 data_time: 0.0199 memory: 17006 grad_norm: 11.4536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3746 loss: 1.3746 2022/07/30 12:34:34 - mmengine - INFO - Epoch(train) [167][160/3757] lr: 1.4852e-04 eta: 6:03:46 time: 0.4267 data_time: 0.0232 memory: 17006 grad_norm: 11.7918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9182 loss: 0.9182 2022/07/30 12:34:43 - mmengine - INFO - Epoch(train) [167][180/3757] lr: 1.4852e-04 eta: 6:03:38 time: 0.4089 data_time: 0.0192 memory: 17006 grad_norm: 11.7992 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9944 loss: 0.9944 2022/07/30 12:34:51 - mmengine - INFO - Epoch(train) [167][200/3757] lr: 1.4852e-04 eta: 6:03:30 time: 0.4321 data_time: 0.0228 memory: 17006 grad_norm: 12.2029 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1494 loss: 1.1494 2022/07/30 12:35:00 - mmengine - INFO - Epoch(train) [167][220/3757] lr: 1.4852e-04 eta: 6:03:21 time: 0.4086 data_time: 0.0204 memory: 17006 grad_norm: 12.3274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1819 loss: 1.1819 2022/07/30 12:35:08 - mmengine - INFO - Epoch(train) [167][240/3757] lr: 1.4852e-04 eta: 6:03:13 time: 0.4431 data_time: 0.0210 memory: 17006 grad_norm: 12.2400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1263 loss: 1.1263 2022/07/30 12:35:17 - mmengine - INFO - Epoch(train) [167][260/3757] lr: 1.4852e-04 eta: 6:03:05 time: 0.4033 data_time: 0.0185 memory: 17006 grad_norm: 12.3156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1244 loss: 1.1244 2022/07/30 12:35:25 - mmengine - INFO - Epoch(train) [167][280/3757] lr: 1.4852e-04 eta: 6:02:57 time: 0.4067 data_time: 0.0214 memory: 17006 grad_norm: 11.9616 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0617 loss: 1.0617 2022/07/30 12:35:33 - mmengine - INFO - Epoch(train) [167][300/3757] lr: 1.4852e-04 eta: 6:02:48 time: 0.4253 data_time: 0.0210 memory: 17006 grad_norm: 12.3544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8797 loss: 0.8797 2022/07/30 12:35:41 - mmengine - INFO - Epoch(train) [167][320/3757] lr: 1.4852e-04 eta: 6:02:40 time: 0.4073 data_time: 0.0220 memory: 17006 grad_norm: 11.8700 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1693 loss: 1.1693 2022/07/30 12:35:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:35:50 - mmengine - INFO - Epoch(train) [167][340/3757] lr: 1.4852e-04 eta: 6:02:32 time: 0.4380 data_time: 0.0219 memory: 17006 grad_norm: 12.2287 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1721 loss: 1.1721 2022/07/30 12:35:58 - mmengine - INFO - Epoch(train) [167][360/3757] lr: 1.4852e-04 eta: 6:02:23 time: 0.4069 data_time: 0.0217 memory: 17006 grad_norm: 12.5126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9878 loss: 0.9878 2022/07/30 12:36:07 - mmengine - INFO - Epoch(train) [167][380/3757] lr: 1.4852e-04 eta: 6:02:15 time: 0.4066 data_time: 0.0207 memory: 17006 grad_norm: 11.9008 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3871 loss: 1.3871 2022/07/30 12:36:15 - mmengine - INFO - Epoch(train) [167][400/3757] lr: 1.4852e-04 eta: 6:02:07 time: 0.4292 data_time: 0.0224 memory: 17006 grad_norm: 11.9603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3880 loss: 1.3880 2022/07/30 12:36:23 - mmengine - INFO - Epoch(train) [167][420/3757] lr: 1.4852e-04 eta: 6:01:58 time: 0.4072 data_time: 0.0202 memory: 17006 grad_norm: 12.3070 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3368 loss: 1.3368 2022/07/30 12:36:32 - mmengine - INFO - Epoch(train) [167][440/3757] lr: 1.4852e-04 eta: 6:01:50 time: 0.4148 data_time: 0.0235 memory: 17006 grad_norm: 11.9623 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/07/30 12:36:40 - mmengine - INFO - Epoch(train) [167][460/3757] lr: 1.4852e-04 eta: 6:01:42 time: 0.4059 data_time: 0.0200 memory: 17006 grad_norm: 12.2480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2791 loss: 1.2791 2022/07/30 12:36:49 - mmengine - INFO - Epoch(train) [167][480/3757] lr: 1.4852e-04 eta: 6:01:33 time: 0.4445 data_time: 0.0236 memory: 17006 grad_norm: 12.5168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9727 loss: 0.9727 2022/07/30 12:36:57 - mmengine - INFO - Epoch(train) [167][500/3757] lr: 1.4852e-04 eta: 6:01:25 time: 0.4053 data_time: 0.0201 memory: 17006 grad_norm: 12.2110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0429 loss: 1.0429 2022/07/30 12:37:05 - mmengine - INFO - Epoch(train) [167][520/3757] lr: 1.4852e-04 eta: 6:01:17 time: 0.4117 data_time: 0.0231 memory: 17006 grad_norm: 12.3328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9794 loss: 0.9794 2022/07/30 12:37:14 - mmengine - INFO - Epoch(train) [167][540/3757] lr: 1.4852e-04 eta: 6:01:08 time: 0.4196 data_time: 0.0191 memory: 17006 grad_norm: 11.6408 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1651 loss: 1.1651 2022/07/30 12:37:22 - mmengine - INFO - Epoch(train) [167][560/3757] lr: 1.4852e-04 eta: 6:01:00 time: 0.4129 data_time: 0.0227 memory: 17006 grad_norm: 12.1154 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0293 loss: 1.0293 2022/07/30 12:37:30 - mmengine - INFO - Epoch(train) [167][580/3757] lr: 1.4852e-04 eta: 6:00:52 time: 0.4064 data_time: 0.0197 memory: 17006 grad_norm: 12.2665 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2659 loss: 1.2659 2022/07/30 12:37:38 - mmengine - INFO - Epoch(train) [167][600/3757] lr: 1.4852e-04 eta: 6:00:43 time: 0.4223 data_time: 0.0222 memory: 17006 grad_norm: 11.7325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0580 loss: 1.0580 2022/07/30 12:37:47 - mmengine - INFO - Epoch(train) [167][620/3757] lr: 1.4852e-04 eta: 6:00:35 time: 0.4047 data_time: 0.0197 memory: 17006 grad_norm: 12.1190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1239 loss: 1.1239 2022/07/30 12:37:55 - mmengine - INFO - Epoch(train) [167][640/3757] lr: 1.4852e-04 eta: 6:00:27 time: 0.4058 data_time: 0.0212 memory: 17006 grad_norm: 12.2780 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2136 loss: 1.2136 2022/07/30 12:38:03 - mmengine - INFO - Epoch(train) [167][660/3757] lr: 1.4852e-04 eta: 6:00:18 time: 0.4205 data_time: 0.0225 memory: 17006 grad_norm: 12.2353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/07/30 12:38:12 - mmengine - INFO - Epoch(train) [167][680/3757] lr: 1.4852e-04 eta: 6:00:10 time: 0.4237 data_time: 0.0223 memory: 17006 grad_norm: 11.7623 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0523 loss: 1.0523 2022/07/30 12:38:20 - mmengine - INFO - Epoch(train) [167][700/3757] lr: 1.4852e-04 eta: 6:00:02 time: 0.4166 data_time: 0.0209 memory: 17006 grad_norm: 11.6709 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1535 loss: 1.1535 2022/07/30 12:38:28 - mmengine - INFO - Epoch(train) [167][720/3757] lr: 1.4852e-04 eta: 5:59:53 time: 0.4203 data_time: 0.0217 memory: 17006 grad_norm: 12.5174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4131 loss: 1.4131 2022/07/30 12:38:37 - mmengine - INFO - Epoch(train) [167][740/3757] lr: 1.4852e-04 eta: 5:59:45 time: 0.4053 data_time: 0.0195 memory: 17006 grad_norm: 12.6612 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1653 loss: 1.1653 2022/07/30 12:38:45 - mmengine - INFO - Epoch(train) [167][760/3757] lr: 1.4852e-04 eta: 5:59:37 time: 0.4188 data_time: 0.0231 memory: 17006 grad_norm: 12.2498 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0706 loss: 1.0706 2022/07/30 12:38:54 - mmengine - INFO - Epoch(train) [167][780/3757] lr: 1.4852e-04 eta: 5:59:28 time: 0.4277 data_time: 0.0201 memory: 17006 grad_norm: 12.4175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/07/30 12:39:02 - mmengine - INFO - Epoch(train) [167][800/3757] lr: 1.4852e-04 eta: 5:59:20 time: 0.4193 data_time: 0.0232 memory: 17006 grad_norm: 12.3988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2250 loss: 1.2250 2022/07/30 12:39:10 - mmengine - INFO - Epoch(train) [167][820/3757] lr: 1.4852e-04 eta: 5:59:12 time: 0.4064 data_time: 0.0205 memory: 17006 grad_norm: 11.8628 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2283 loss: 1.2283 2022/07/30 12:39:19 - mmengine - INFO - Epoch(train) [167][840/3757] lr: 1.4852e-04 eta: 5:59:03 time: 0.4335 data_time: 0.0229 memory: 17006 grad_norm: 12.0852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4407 loss: 1.4407 2022/07/30 12:39:27 - mmengine - INFO - Epoch(train) [167][860/3757] lr: 1.4852e-04 eta: 5:58:55 time: 0.4052 data_time: 0.0194 memory: 17006 grad_norm: 12.2146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8985 loss: 0.8985 2022/07/30 12:39:35 - mmengine - INFO - Epoch(train) [167][880/3757] lr: 1.4852e-04 eta: 5:58:47 time: 0.4059 data_time: 0.0213 memory: 17006 grad_norm: 12.1016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9413 loss: 0.9413 2022/07/30 12:39:44 - mmengine - INFO - Epoch(train) [167][900/3757] lr: 1.4852e-04 eta: 5:58:38 time: 0.4322 data_time: 0.0217 memory: 17006 grad_norm: 12.0746 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9785 loss: 0.9785 2022/07/30 12:39:52 - mmengine - INFO - Epoch(train) [167][920/3757] lr: 1.4852e-04 eta: 5:58:30 time: 0.4078 data_time: 0.0224 memory: 17006 grad_norm: 12.7173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/07/30 12:40:01 - mmengine - INFO - Epoch(train) [167][940/3757] lr: 1.4852e-04 eta: 5:58:22 time: 0.4257 data_time: 0.0215 memory: 17006 grad_norm: 11.7045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7886 loss: 0.7886 2022/07/30 12:40:09 - mmengine - INFO - Epoch(train) [167][960/3757] lr: 1.4852e-04 eta: 5:58:13 time: 0.4095 data_time: 0.0212 memory: 17006 grad_norm: 12.2819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2202 loss: 1.2202 2022/07/30 12:40:17 - mmengine - INFO - Epoch(train) [167][980/3757] lr: 1.4852e-04 eta: 5:58:05 time: 0.4115 data_time: 0.0225 memory: 17006 grad_norm: 12.4902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2167 loss: 1.2167 2022/07/30 12:40:25 - mmengine - INFO - Epoch(train) [167][1000/3757] lr: 1.4852e-04 eta: 5:57:57 time: 0.4176 data_time: 0.0221 memory: 17006 grad_norm: 11.9802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0340 loss: 1.0340 2022/07/30 12:40:34 - mmengine - INFO - Epoch(train) [167][1020/3757] lr: 1.4852e-04 eta: 5:57:48 time: 0.4132 data_time: 0.0227 memory: 17006 grad_norm: 11.8140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9809 loss: 0.9809 2022/07/30 12:40:42 - mmengine - INFO - Epoch(train) [167][1040/3757] lr: 1.4852e-04 eta: 5:57:40 time: 0.4088 data_time: 0.0218 memory: 17006 grad_norm: 12.1927 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0698 loss: 1.0698 2022/07/30 12:40:50 - mmengine - INFO - Epoch(train) [167][1060/3757] lr: 1.4852e-04 eta: 5:57:32 time: 0.4117 data_time: 0.0203 memory: 17006 grad_norm: 11.9577 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0788 loss: 1.0788 2022/07/30 12:40:58 - mmengine - INFO - Epoch(train) [167][1080/3757] lr: 1.4852e-04 eta: 5:57:23 time: 0.4089 data_time: 0.0215 memory: 17006 grad_norm: 12.0100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0170 loss: 1.0170 2022/07/30 12:41:07 - mmengine - INFO - Epoch(train) [167][1100/3757] lr: 1.4852e-04 eta: 5:57:15 time: 0.4067 data_time: 0.0209 memory: 17006 grad_norm: 11.5553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9880 loss: 0.9880 2022/07/30 12:41:15 - mmengine - INFO - Epoch(train) [167][1120/3757] lr: 1.4852e-04 eta: 5:57:07 time: 0.4173 data_time: 0.0206 memory: 17006 grad_norm: 11.9175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1226 loss: 1.1226 2022/07/30 12:41:23 - mmengine - INFO - Epoch(train) [167][1140/3757] lr: 1.4852e-04 eta: 5:56:58 time: 0.4212 data_time: 0.0203 memory: 17006 grad_norm: 12.1649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9226 loss: 0.9226 2022/07/30 12:41:32 - mmengine - INFO - Epoch(train) [167][1160/3757] lr: 1.4852e-04 eta: 5:56:50 time: 0.4275 data_time: 0.0230 memory: 17006 grad_norm: 12.0588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3423 loss: 1.3423 2022/07/30 12:41:40 - mmengine - INFO - Epoch(train) [167][1180/3757] lr: 1.4852e-04 eta: 5:56:42 time: 0.4069 data_time: 0.0194 memory: 17006 grad_norm: 12.5759 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0024 loss: 1.0024 2022/07/30 12:41:48 - mmengine - INFO - Epoch(train) [167][1200/3757] lr: 1.4852e-04 eta: 5:56:33 time: 0.4117 data_time: 0.0219 memory: 17006 grad_norm: 11.8173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3470 loss: 1.3470 2022/07/30 12:41:57 - mmengine - INFO - Epoch(train) [167][1220/3757] lr: 1.4852e-04 eta: 5:56:25 time: 0.4074 data_time: 0.0192 memory: 17006 grad_norm: 12.4232 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2437 loss: 1.2437 2022/07/30 12:42:05 - mmengine - INFO - Epoch(train) [167][1240/3757] lr: 1.4852e-04 eta: 5:56:17 time: 0.4140 data_time: 0.0231 memory: 17006 grad_norm: 11.8076 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1012 loss: 1.1012 2022/07/30 12:42:13 - mmengine - INFO - Epoch(train) [167][1260/3757] lr: 1.4852e-04 eta: 5:56:08 time: 0.4080 data_time: 0.0200 memory: 17006 grad_norm: 11.8335 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2603 loss: 1.2603 2022/07/30 12:42:21 - mmengine - INFO - Epoch(train) [167][1280/3757] lr: 1.4852e-04 eta: 5:56:00 time: 0.4100 data_time: 0.0225 memory: 17006 grad_norm: 12.3419 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9963 loss: 0.9963 2022/07/30 12:42:30 - mmengine - INFO - Epoch(train) [167][1300/3757] lr: 1.4852e-04 eta: 5:55:52 time: 0.4196 data_time: 0.0205 memory: 17006 grad_norm: 12.3293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2790 loss: 1.2790 2022/07/30 12:42:38 - mmengine - INFO - Epoch(train) [167][1320/3757] lr: 1.4852e-04 eta: 5:55:43 time: 0.4068 data_time: 0.0212 memory: 17006 grad_norm: 12.1027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1700 loss: 1.1700 2022/07/30 12:42:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:42:46 - mmengine - INFO - Epoch(train) [167][1340/3757] lr: 1.4852e-04 eta: 5:55:35 time: 0.4111 data_time: 0.0205 memory: 17006 grad_norm: 12.1907 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0353 loss: 1.0353 2022/07/30 12:42:55 - mmengine - INFO - Epoch(train) [167][1360/3757] lr: 1.4852e-04 eta: 5:55:27 time: 0.4229 data_time: 0.0230 memory: 17006 grad_norm: 11.3264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0725 loss: 1.0725 2022/07/30 12:43:03 - mmengine - INFO - Epoch(train) [167][1380/3757] lr: 1.4852e-04 eta: 5:55:18 time: 0.4090 data_time: 0.0209 memory: 17006 grad_norm: 12.1345 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1372 loss: 1.1372 2022/07/30 12:43:12 - mmengine - INFO - Epoch(train) [167][1400/3757] lr: 1.4852e-04 eta: 5:55:10 time: 0.4523 data_time: 0.0213 memory: 17006 grad_norm: 12.5367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0942 loss: 1.0942 2022/07/30 12:43:20 - mmengine - INFO - Epoch(train) [167][1420/3757] lr: 1.4852e-04 eta: 5:55:02 time: 0.4089 data_time: 0.0214 memory: 17006 grad_norm: 11.4120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9543 loss: 0.9543 2022/07/30 12:43:28 - mmengine - INFO - Epoch(train) [167][1440/3757] lr: 1.4852e-04 eta: 5:54:53 time: 0.4104 data_time: 0.0224 memory: 17006 grad_norm: 12.0374 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9634 loss: 0.9634 2022/07/30 12:43:37 - mmengine - INFO - Epoch(train) [167][1460/3757] lr: 1.4852e-04 eta: 5:54:45 time: 0.4225 data_time: 0.0199 memory: 17006 grad_norm: 11.8112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9233 loss: 0.9233 2022/07/30 12:43:45 - mmengine - INFO - Epoch(train) [167][1480/3757] lr: 1.4852e-04 eta: 5:54:37 time: 0.4076 data_time: 0.0213 memory: 17006 grad_norm: 12.5097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0973 loss: 1.0973 2022/07/30 12:43:53 - mmengine - INFO - Epoch(train) [167][1500/3757] lr: 1.4852e-04 eta: 5:54:28 time: 0.4165 data_time: 0.0201 memory: 17006 grad_norm: 12.2062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1221 loss: 1.1221 2022/07/30 12:44:02 - mmengine - INFO - Epoch(train) [167][1520/3757] lr: 1.4852e-04 eta: 5:54:20 time: 0.4109 data_time: 0.0225 memory: 17006 grad_norm: 12.4443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0606 loss: 1.0606 2022/07/30 12:44:10 - mmengine - INFO - Epoch(train) [167][1540/3757] lr: 1.4852e-04 eta: 5:54:12 time: 0.4201 data_time: 0.0200 memory: 17006 grad_norm: 11.8107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1403 loss: 1.1403 2022/07/30 12:44:18 - mmengine - INFO - Epoch(train) [167][1560/3757] lr: 1.4852e-04 eta: 5:54:03 time: 0.4117 data_time: 0.0220 memory: 17006 grad_norm: 12.0997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/07/30 12:44:27 - mmengine - INFO - Epoch(train) [167][1580/3757] lr: 1.4852e-04 eta: 5:53:55 time: 0.4054 data_time: 0.0186 memory: 17006 grad_norm: 12.2577 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0072 loss: 1.0072 2022/07/30 12:44:35 - mmengine - INFO - Epoch(train) [167][1600/3757] lr: 1.4852e-04 eta: 5:53:47 time: 0.4250 data_time: 0.0218 memory: 17006 grad_norm: 12.0838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0664 loss: 1.0664 2022/07/30 12:44:43 - mmengine - INFO - Epoch(train) [167][1620/3757] lr: 1.4852e-04 eta: 5:53:38 time: 0.4136 data_time: 0.0203 memory: 17006 grad_norm: 12.0774 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0358 loss: 1.0358 2022/07/30 12:44:52 - mmengine - INFO - Epoch(train) [167][1640/3757] lr: 1.4852e-04 eta: 5:53:30 time: 0.4171 data_time: 0.0231 memory: 17006 grad_norm: 12.0549 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9894 loss: 0.9894 2022/07/30 12:45:00 - mmengine - INFO - Epoch(train) [167][1660/3757] lr: 1.4852e-04 eta: 5:53:22 time: 0.4097 data_time: 0.0207 memory: 17006 grad_norm: 12.4245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0692 loss: 1.0692 2022/07/30 12:45:08 - mmengine - INFO - Epoch(train) [167][1680/3757] lr: 1.4852e-04 eta: 5:53:13 time: 0.4078 data_time: 0.0213 memory: 17006 grad_norm: 13.0530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1341 loss: 1.1341 2022/07/30 12:45:16 - mmengine - INFO - Epoch(train) [167][1700/3757] lr: 1.4852e-04 eta: 5:53:05 time: 0.4079 data_time: 0.0194 memory: 17006 grad_norm: 12.5168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2955 loss: 1.2955 2022/07/30 12:45:25 - mmengine - INFO - Epoch(train) [167][1720/3757] lr: 1.4852e-04 eta: 5:52:57 time: 0.4144 data_time: 0.0235 memory: 17006 grad_norm: 12.4875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9780 loss: 0.9780 2022/07/30 12:45:33 - mmengine - INFO - Epoch(train) [167][1740/3757] lr: 1.4852e-04 eta: 5:52:48 time: 0.4060 data_time: 0.0206 memory: 17006 grad_norm: 12.2167 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2384 loss: 1.2384 2022/07/30 12:45:41 - mmengine - INFO - Epoch(train) [167][1760/3757] lr: 1.4852e-04 eta: 5:52:40 time: 0.4118 data_time: 0.0230 memory: 17006 grad_norm: 12.0638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0987 loss: 1.0987 2022/07/30 12:45:49 - mmengine - INFO - Epoch(train) [167][1780/3757] lr: 1.4852e-04 eta: 5:52:32 time: 0.4074 data_time: 0.0185 memory: 17006 grad_norm: 12.4322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2796 loss: 1.2796 2022/07/30 12:45:57 - mmengine - INFO - Epoch(train) [167][1800/3757] lr: 1.4852e-04 eta: 5:52:23 time: 0.4059 data_time: 0.0209 memory: 17006 grad_norm: 12.1315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8277 loss: 0.8277 2022/07/30 12:46:06 - mmengine - INFO - Epoch(train) [167][1820/3757] lr: 1.4852e-04 eta: 5:52:15 time: 0.4130 data_time: 0.0228 memory: 17006 grad_norm: 11.8272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0552 loss: 1.0552 2022/07/30 12:46:14 - mmengine - INFO - Epoch(train) [167][1840/3757] lr: 1.4852e-04 eta: 5:52:07 time: 0.4112 data_time: 0.0216 memory: 17006 grad_norm: 12.5011 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3604 loss: 1.3604 2022/07/30 12:46:22 - mmengine - INFO - Epoch(train) [167][1860/3757] lr: 1.4852e-04 eta: 5:51:58 time: 0.4145 data_time: 0.0220 memory: 17006 grad_norm: 12.2155 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/07/30 12:46:31 - mmengine - INFO - Epoch(train) [167][1880/3757] lr: 1.4852e-04 eta: 5:51:50 time: 0.4139 data_time: 0.0208 memory: 17006 grad_norm: 12.5047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1082 loss: 1.1082 2022/07/30 12:46:39 - mmengine - INFO - Epoch(train) [167][1900/3757] lr: 1.4852e-04 eta: 5:51:41 time: 0.4065 data_time: 0.0188 memory: 17006 grad_norm: 12.0890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3123 loss: 1.3123 2022/07/30 12:46:47 - mmengine - INFO - Epoch(train) [167][1920/3757] lr: 1.4852e-04 eta: 5:51:33 time: 0.4111 data_time: 0.0204 memory: 17006 grad_norm: 12.0013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0996 loss: 1.0996 2022/07/30 12:46:55 - mmengine - INFO - Epoch(train) [167][1940/3757] lr: 1.4852e-04 eta: 5:51:25 time: 0.4167 data_time: 0.0208 memory: 17006 grad_norm: 12.5275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0944 loss: 1.0944 2022/07/30 12:47:04 - mmengine - INFO - Epoch(train) [167][1960/3757] lr: 1.4852e-04 eta: 5:51:16 time: 0.4135 data_time: 0.0228 memory: 17006 grad_norm: 11.9099 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9989 loss: 0.9989 2022/07/30 12:47:12 - mmengine - INFO - Epoch(train) [167][1980/3757] lr: 1.4852e-04 eta: 5:51:08 time: 0.4195 data_time: 0.0208 memory: 17006 grad_norm: 11.9792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0713 loss: 1.0713 2022/07/30 12:47:20 - mmengine - INFO - Epoch(train) [167][2000/3757] lr: 1.4852e-04 eta: 5:51:00 time: 0.4130 data_time: 0.0211 memory: 17006 grad_norm: 12.4876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1984 loss: 1.1984 2022/07/30 12:47:29 - mmengine - INFO - Epoch(train) [167][2020/3757] lr: 1.4852e-04 eta: 5:50:51 time: 0.4088 data_time: 0.0221 memory: 17006 grad_norm: 12.3697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1076 loss: 1.1076 2022/07/30 12:47:37 - mmengine - INFO - Epoch(train) [167][2040/3757] lr: 1.4852e-04 eta: 5:50:43 time: 0.4158 data_time: 0.0264 memory: 17006 grad_norm: 12.8107 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4394 loss: 1.4394 2022/07/30 12:47:45 - mmengine - INFO - Epoch(train) [167][2060/3757] lr: 1.4852e-04 eta: 5:50:35 time: 0.4131 data_time: 0.0225 memory: 17006 grad_norm: 12.3647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9933 loss: 0.9933 2022/07/30 12:47:54 - mmengine - INFO - Epoch(train) [167][2080/3757] lr: 1.4852e-04 eta: 5:50:26 time: 0.4171 data_time: 0.0224 memory: 17006 grad_norm: 11.6053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/07/30 12:48:02 - mmengine - INFO - Epoch(train) [167][2100/3757] lr: 1.4852e-04 eta: 5:50:18 time: 0.4219 data_time: 0.0218 memory: 17006 grad_norm: 12.4495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9556 loss: 0.9556 2022/07/30 12:48:10 - mmengine - INFO - Epoch(train) [167][2120/3757] lr: 1.4852e-04 eta: 5:50:10 time: 0.4149 data_time: 0.0224 memory: 17006 grad_norm: 12.1838 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2368 loss: 1.2368 2022/07/30 12:48:19 - mmengine - INFO - Epoch(train) [167][2140/3757] lr: 1.4852e-04 eta: 5:50:01 time: 0.4060 data_time: 0.0207 memory: 17006 grad_norm: 12.5109 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3184 loss: 1.3184 2022/07/30 12:48:27 - mmengine - INFO - Epoch(train) [167][2160/3757] lr: 1.4852e-04 eta: 5:49:53 time: 0.4139 data_time: 0.0216 memory: 17006 grad_norm: 12.1632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1825 loss: 1.1825 2022/07/30 12:48:35 - mmengine - INFO - Epoch(train) [167][2180/3757] lr: 1.4852e-04 eta: 5:49:45 time: 0.4135 data_time: 0.0205 memory: 17006 grad_norm: 12.5269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3613 loss: 1.3613 2022/07/30 12:48:44 - mmengine - INFO - Epoch(train) [167][2200/3757] lr: 1.4852e-04 eta: 5:49:36 time: 0.4172 data_time: 0.0229 memory: 17006 grad_norm: 12.0689 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2522 loss: 1.2522 2022/07/30 12:48:52 - mmengine - INFO - Epoch(train) [167][2220/3757] lr: 1.4852e-04 eta: 5:49:28 time: 0.4186 data_time: 0.0219 memory: 17006 grad_norm: 12.4226 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0681 loss: 1.0681 2022/07/30 12:49:00 - mmengine - INFO - Epoch(train) [167][2240/3757] lr: 1.4852e-04 eta: 5:49:20 time: 0.4245 data_time: 0.0219 memory: 17006 grad_norm: 11.2951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0196 loss: 1.0196 2022/07/30 12:49:09 - mmengine - INFO - Epoch(train) [167][2260/3757] lr: 1.4852e-04 eta: 5:49:11 time: 0.4052 data_time: 0.0195 memory: 17006 grad_norm: 11.9834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/07/30 12:49:17 - mmengine - INFO - Epoch(train) [167][2280/3757] lr: 1.4852e-04 eta: 5:49:03 time: 0.4228 data_time: 0.0221 memory: 17006 grad_norm: 12.1800 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9512 loss: 0.9512 2022/07/30 12:49:26 - mmengine - INFO - Epoch(train) [167][2300/3757] lr: 1.4852e-04 eta: 5:48:55 time: 0.4215 data_time: 0.0212 memory: 17006 grad_norm: 12.4235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3125 loss: 1.3125 2022/07/30 12:49:34 - mmengine - INFO - Epoch(train) [167][2320/3757] lr: 1.4852e-04 eta: 5:48:47 time: 0.4200 data_time: 0.0229 memory: 17006 grad_norm: 11.8773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1883 loss: 1.1883 2022/07/30 12:49:41 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:49:42 - mmengine - INFO - Epoch(train) [167][2340/3757] lr: 1.4852e-04 eta: 5:48:38 time: 0.4056 data_time: 0.0202 memory: 17006 grad_norm: 11.5555 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/07/30 12:49:51 - mmengine - INFO - Epoch(train) [167][2360/3757] lr: 1.4852e-04 eta: 5:48:30 time: 0.4290 data_time: 0.0225 memory: 17006 grad_norm: 12.2773 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2451 loss: 1.2451 2022/07/30 12:49:59 - mmengine - INFO - Epoch(train) [167][2380/3757] lr: 1.4852e-04 eta: 5:48:22 time: 0.4069 data_time: 0.0202 memory: 17006 grad_norm: 12.6890 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1912 loss: 1.1912 2022/07/30 12:50:07 - mmengine - INFO - Epoch(train) [167][2400/3757] lr: 1.4852e-04 eta: 5:48:13 time: 0.4097 data_time: 0.0210 memory: 17006 grad_norm: 11.6199 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1219 loss: 1.1219 2022/07/30 12:50:16 - mmengine - INFO - Epoch(train) [167][2420/3757] lr: 1.4852e-04 eta: 5:48:05 time: 0.4270 data_time: 0.0204 memory: 17006 grad_norm: 12.3859 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4541 loss: 1.4541 2022/07/30 12:50:24 - mmengine - INFO - Epoch(train) [167][2440/3757] lr: 1.4852e-04 eta: 5:47:57 time: 0.4245 data_time: 0.0216 memory: 17006 grad_norm: 12.6338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3824 loss: 1.3824 2022/07/30 12:50:33 - mmengine - INFO - Epoch(train) [167][2460/3757] lr: 1.4852e-04 eta: 5:47:48 time: 0.4160 data_time: 0.0219 memory: 17006 grad_norm: 12.1054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/07/30 12:50:41 - mmengine - INFO - Epoch(train) [167][2480/3757] lr: 1.4852e-04 eta: 5:47:40 time: 0.4077 data_time: 0.0219 memory: 17006 grad_norm: 12.1306 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8703 loss: 0.8703 2022/07/30 12:50:49 - mmengine - INFO - Epoch(train) [167][2500/3757] lr: 1.4852e-04 eta: 5:47:32 time: 0.4075 data_time: 0.0209 memory: 17006 grad_norm: 12.0787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2043 loss: 1.2043 2022/07/30 12:50:58 - mmengine - INFO - Epoch(train) [167][2520/3757] lr: 1.4852e-04 eta: 5:47:23 time: 0.4567 data_time: 0.0240 memory: 17006 grad_norm: 12.1840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2184 loss: 1.2184 2022/07/30 12:51:06 - mmengine - INFO - Epoch(train) [167][2540/3757] lr: 1.4852e-04 eta: 5:47:15 time: 0.4084 data_time: 0.0221 memory: 17006 grad_norm: 12.1066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7843 loss: 0.7843 2022/07/30 12:51:15 - mmengine - INFO - Epoch(train) [167][2560/3757] lr: 1.4852e-04 eta: 5:47:07 time: 0.4150 data_time: 0.0224 memory: 17006 grad_norm: 12.5483 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3656 loss: 1.3656 2022/07/30 12:51:23 - mmengine - INFO - Epoch(train) [167][2580/3757] lr: 1.4852e-04 eta: 5:46:58 time: 0.4082 data_time: 0.0218 memory: 17006 grad_norm: 12.6617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3058 loss: 1.3058 2022/07/30 12:51:31 - mmengine - INFO - Epoch(train) [167][2600/3757] lr: 1.4852e-04 eta: 5:46:50 time: 0.4310 data_time: 0.0228 memory: 17006 grad_norm: 12.7158 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2136 loss: 1.2136 2022/07/30 12:51:40 - mmengine - INFO - Epoch(train) [167][2620/3757] lr: 1.4852e-04 eta: 5:46:42 time: 0.4069 data_time: 0.0207 memory: 17006 grad_norm: 12.0931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9931 loss: 0.9931 2022/07/30 12:51:48 - mmengine - INFO - Epoch(train) [167][2640/3757] lr: 1.4852e-04 eta: 5:46:33 time: 0.4084 data_time: 0.0218 memory: 17006 grad_norm: 12.4896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0160 loss: 1.0160 2022/07/30 12:51:56 - mmengine - INFO - Epoch(train) [167][2660/3757] lr: 1.4852e-04 eta: 5:46:25 time: 0.4206 data_time: 0.0215 memory: 17006 grad_norm: 12.3975 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1149 loss: 1.1149 2022/07/30 12:52:04 - mmengine - INFO - Epoch(train) [167][2680/3757] lr: 1.4852e-04 eta: 5:46:17 time: 0.4082 data_time: 0.0220 memory: 17006 grad_norm: 12.1707 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1843 loss: 1.1843 2022/07/30 12:52:13 - mmengine - INFO - Epoch(train) [167][2700/3757] lr: 1.4852e-04 eta: 5:46:08 time: 0.4278 data_time: 0.0208 memory: 17006 grad_norm: 12.1795 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2985 loss: 1.2985 2022/07/30 12:52:21 - mmengine - INFO - Epoch(train) [167][2720/3757] lr: 1.4852e-04 eta: 5:46:00 time: 0.4069 data_time: 0.0212 memory: 17006 grad_norm: 13.0945 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3044 loss: 1.3044 2022/07/30 12:52:30 - mmengine - INFO - Epoch(train) [167][2740/3757] lr: 1.4852e-04 eta: 5:45:52 time: 0.4215 data_time: 0.0198 memory: 17006 grad_norm: 11.9593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/07/30 12:52:38 - mmengine - INFO - Epoch(train) [167][2760/3757] lr: 1.4852e-04 eta: 5:45:43 time: 0.4070 data_time: 0.0209 memory: 17006 grad_norm: 12.1626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9690 loss: 0.9690 2022/07/30 12:52:46 - mmengine - INFO - Epoch(train) [167][2780/3757] lr: 1.4852e-04 eta: 5:45:35 time: 0.4092 data_time: 0.0210 memory: 17006 grad_norm: 12.4990 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1429 loss: 1.1429 2022/07/30 12:52:55 - mmengine - INFO - Epoch(train) [167][2800/3757] lr: 1.4852e-04 eta: 5:45:27 time: 0.4341 data_time: 0.0226 memory: 17006 grad_norm: 11.7750 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3931 loss: 1.3931 2022/07/30 12:53:03 - mmengine - INFO - Epoch(train) [167][2820/3757] lr: 1.4852e-04 eta: 5:45:18 time: 0.4053 data_time: 0.0203 memory: 17006 grad_norm: 12.1119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0434 loss: 1.0434 2022/07/30 12:53:11 - mmengine - INFO - Epoch(train) [167][2840/3757] lr: 1.4852e-04 eta: 5:45:10 time: 0.4211 data_time: 0.0222 memory: 17006 grad_norm: 11.7863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0010 loss: 1.0010 2022/07/30 12:53:20 - mmengine - INFO - Epoch(train) [167][2860/3757] lr: 1.4852e-04 eta: 5:45:02 time: 0.4048 data_time: 0.0198 memory: 17006 grad_norm: 12.4687 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9603 loss: 0.9603 2022/07/30 12:53:28 - mmengine - INFO - Epoch(train) [167][2880/3757] lr: 1.4852e-04 eta: 5:44:53 time: 0.4084 data_time: 0.0222 memory: 17006 grad_norm: 11.9553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9775 loss: 0.9775 2022/07/30 12:53:36 - mmengine - INFO - Epoch(train) [167][2900/3757] lr: 1.4852e-04 eta: 5:44:45 time: 0.4118 data_time: 0.0184 memory: 17006 grad_norm: 12.2282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5163 loss: 1.5163 2022/07/30 12:53:44 - mmengine - INFO - Epoch(train) [167][2920/3757] lr: 1.4852e-04 eta: 5:44:37 time: 0.4091 data_time: 0.0227 memory: 17006 grad_norm: 12.5289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2058 loss: 1.2058 2022/07/30 12:53:53 - mmengine - INFO - Epoch(train) [167][2940/3757] lr: 1.4852e-04 eta: 5:44:28 time: 0.4244 data_time: 0.0228 memory: 17006 grad_norm: 11.8148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0570 loss: 1.0570 2022/07/30 12:54:01 - mmengine - INFO - Epoch(train) [167][2960/3757] lr: 1.4852e-04 eta: 5:44:20 time: 0.4078 data_time: 0.0225 memory: 17006 grad_norm: 11.5091 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1512 loss: 1.1512 2022/07/30 12:54:09 - mmengine - INFO - Epoch(train) [167][2980/3757] lr: 1.4852e-04 eta: 5:44:12 time: 0.4057 data_time: 0.0189 memory: 17006 grad_norm: 12.0858 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3192 loss: 1.3192 2022/07/30 12:54:18 - mmengine - INFO - Epoch(train) [167][3000/3757] lr: 1.4852e-04 eta: 5:44:03 time: 0.4310 data_time: 0.0223 memory: 17006 grad_norm: 11.9497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1197 loss: 1.1197 2022/07/30 12:54:26 - mmengine - INFO - Epoch(train) [167][3020/3757] lr: 1.4852e-04 eta: 5:43:55 time: 0.4064 data_time: 0.0193 memory: 17006 grad_norm: 12.2533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/07/30 12:54:35 - mmengine - INFO - Epoch(train) [167][3040/3757] lr: 1.4852e-04 eta: 5:43:47 time: 0.4443 data_time: 0.0237 memory: 17006 grad_norm: 11.8008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9652 loss: 0.9652 2022/07/30 12:54:43 - mmengine - INFO - Epoch(train) [167][3060/3757] lr: 1.4852e-04 eta: 5:43:39 time: 0.4043 data_time: 0.0190 memory: 17006 grad_norm: 12.0064 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0251 loss: 1.0251 2022/07/30 12:54:51 - mmengine - INFO - Epoch(train) [167][3080/3757] lr: 1.4852e-04 eta: 5:43:30 time: 0.4211 data_time: 0.0245 memory: 17006 grad_norm: 11.9338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8104 loss: 0.8104 2022/07/30 12:55:00 - mmengine - INFO - Epoch(train) [167][3100/3757] lr: 1.4852e-04 eta: 5:43:22 time: 0.4090 data_time: 0.0212 memory: 17006 grad_norm: 11.5608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1251 loss: 1.1251 2022/07/30 12:55:08 - mmengine - INFO - Epoch(train) [167][3120/3757] lr: 1.4852e-04 eta: 5:43:13 time: 0.4077 data_time: 0.0215 memory: 17006 grad_norm: 11.6541 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1890 loss: 1.1890 2022/07/30 12:55:16 - mmengine - INFO - Epoch(train) [167][3140/3757] lr: 1.4852e-04 eta: 5:43:05 time: 0.4231 data_time: 0.0203 memory: 17006 grad_norm: 12.1999 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/07/30 12:55:24 - mmengine - INFO - Epoch(train) [167][3160/3757] lr: 1.4852e-04 eta: 5:42:57 time: 0.4082 data_time: 0.0217 memory: 17006 grad_norm: 12.6813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5308 loss: 1.5308 2022/07/30 12:55:33 - mmengine - INFO - Epoch(train) [167][3180/3757] lr: 1.4852e-04 eta: 5:42:49 time: 0.4282 data_time: 0.0238 memory: 17006 grad_norm: 12.2797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1126 loss: 1.1126 2022/07/30 12:55:42 - mmengine - INFO - Epoch(train) [167][3200/3757] lr: 1.4852e-04 eta: 5:42:40 time: 0.4280 data_time: 0.0228 memory: 17006 grad_norm: 11.7269 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2322 loss: 1.2322 2022/07/30 12:55:50 - mmengine - INFO - Epoch(train) [167][3220/3757] lr: 1.4852e-04 eta: 5:42:32 time: 0.4130 data_time: 0.0200 memory: 17006 grad_norm: 11.6335 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1719 loss: 1.1719 2022/07/30 12:55:58 - mmengine - INFO - Epoch(train) [167][3240/3757] lr: 1.4852e-04 eta: 5:42:24 time: 0.4065 data_time: 0.0209 memory: 17006 grad_norm: 12.2649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1420 loss: 1.1420 2022/07/30 12:56:06 - mmengine - INFO - Epoch(train) [167][3260/3757] lr: 1.4852e-04 eta: 5:42:15 time: 0.4053 data_time: 0.0185 memory: 17006 grad_norm: 12.3402 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0878 loss: 1.0878 2022/07/30 12:56:15 - mmengine - INFO - Epoch(train) [167][3280/3757] lr: 1.4852e-04 eta: 5:42:07 time: 0.4148 data_time: 0.0216 memory: 17006 grad_norm: 12.2717 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1956 loss: 1.1956 2022/07/30 12:56:23 - mmengine - INFO - Epoch(train) [167][3300/3757] lr: 1.4852e-04 eta: 5:41:59 time: 0.4086 data_time: 0.0224 memory: 17006 grad_norm: 12.1757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0555 loss: 1.0555 2022/07/30 12:56:31 - mmengine - INFO - Epoch(train) [167][3320/3757] lr: 1.4852e-04 eta: 5:41:50 time: 0.4135 data_time: 0.0234 memory: 17006 grad_norm: 11.6000 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3997 loss: 1.3997 2022/07/30 12:56:38 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:56:39 - mmengine - INFO - Epoch(train) [167][3340/3757] lr: 1.4852e-04 eta: 5:41:42 time: 0.4059 data_time: 0.0203 memory: 17006 grad_norm: 12.5768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3909 loss: 1.3909 2022/07/30 12:56:47 - mmengine - INFO - Epoch(train) [167][3360/3757] lr: 1.4852e-04 eta: 5:41:33 time: 0.4079 data_time: 0.0210 memory: 17006 grad_norm: 12.4219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5771 loss: 1.5771 2022/07/30 12:56:56 - mmengine - INFO - Epoch(train) [167][3380/3757] lr: 1.4852e-04 eta: 5:41:25 time: 0.4235 data_time: 0.0214 memory: 17006 grad_norm: 12.0750 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0839 loss: 1.0839 2022/07/30 12:57:04 - mmengine - INFO - Epoch(train) [167][3400/3757] lr: 1.4852e-04 eta: 5:41:17 time: 0.4105 data_time: 0.0221 memory: 17006 grad_norm: 11.8706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0857 loss: 1.0857 2022/07/30 12:57:12 - mmengine - INFO - Epoch(train) [167][3420/3757] lr: 1.4852e-04 eta: 5:41:08 time: 0.4168 data_time: 0.0220 memory: 17006 grad_norm: 12.0198 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3228 loss: 1.3228 2022/07/30 12:57:21 - mmengine - INFO - Epoch(train) [167][3440/3757] lr: 1.4852e-04 eta: 5:41:00 time: 0.4079 data_time: 0.0207 memory: 17006 grad_norm: 11.7739 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9338 loss: 0.9338 2022/07/30 12:57:29 - mmengine - INFO - Epoch(train) [167][3460/3757] lr: 1.4852e-04 eta: 5:40:52 time: 0.4070 data_time: 0.0208 memory: 17006 grad_norm: 12.3061 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1225 loss: 1.1225 2022/07/30 12:57:37 - mmengine - INFO - Epoch(train) [167][3480/3757] lr: 1.4852e-04 eta: 5:40:43 time: 0.4116 data_time: 0.0222 memory: 17006 grad_norm: 12.2928 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0341 loss: 1.0341 2022/07/30 12:57:45 - mmengine - INFO - Epoch(train) [167][3500/3757] lr: 1.4852e-04 eta: 5:40:35 time: 0.4087 data_time: 0.0200 memory: 17006 grad_norm: 11.9882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1633 loss: 1.1633 2022/07/30 12:57:54 - mmengine - INFO - Epoch(train) [167][3520/3757] lr: 1.4852e-04 eta: 5:40:27 time: 0.4105 data_time: 0.0212 memory: 17006 grad_norm: 12.1852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0509 loss: 1.0509 2022/07/30 12:58:02 - mmengine - INFO - Epoch(train) [167][3540/3757] lr: 1.4852e-04 eta: 5:40:18 time: 0.4100 data_time: 0.0209 memory: 17006 grad_norm: 12.0631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2657 loss: 1.2657 2022/07/30 12:58:10 - mmengine - INFO - Epoch(train) [167][3560/3757] lr: 1.4852e-04 eta: 5:40:10 time: 0.4115 data_time: 0.0209 memory: 17006 grad_norm: 12.0765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1182 loss: 1.1182 2022/07/30 12:58:18 - mmengine - INFO - Epoch(train) [167][3580/3757] lr: 1.4852e-04 eta: 5:40:02 time: 0.4058 data_time: 0.0183 memory: 17006 grad_norm: 11.7191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9051 loss: 0.9051 2022/07/30 12:58:27 - mmengine - INFO - Epoch(train) [167][3600/3757] lr: 1.4852e-04 eta: 5:39:53 time: 0.4164 data_time: 0.0203 memory: 17006 grad_norm: 12.6537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9519 loss: 0.9519 2022/07/30 12:58:35 - mmengine - INFO - Epoch(train) [167][3620/3757] lr: 1.4852e-04 eta: 5:39:45 time: 0.4135 data_time: 0.0225 memory: 17006 grad_norm: 12.2020 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9026 loss: 0.9026 2022/07/30 12:58:43 - mmengine - INFO - Epoch(train) [167][3640/3757] lr: 1.4852e-04 eta: 5:39:37 time: 0.4103 data_time: 0.0206 memory: 17006 grad_norm: 12.4919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2216 loss: 1.2216 2022/07/30 12:58:51 - mmengine - INFO - Epoch(train) [167][3660/3757] lr: 1.4852e-04 eta: 5:39:28 time: 0.4165 data_time: 0.0222 memory: 17006 grad_norm: 12.2187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0253 loss: 1.0253 2022/07/30 12:59:00 - mmengine - INFO - Epoch(train) [167][3680/3757] lr: 1.4852e-04 eta: 5:39:20 time: 0.4075 data_time: 0.0217 memory: 17006 grad_norm: 11.5720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1782 loss: 1.1782 2022/07/30 12:59:08 - mmengine - INFO - Epoch(train) [167][3700/3757] lr: 1.4852e-04 eta: 5:39:12 time: 0.4116 data_time: 0.0195 memory: 17006 grad_norm: 12.4068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4384 loss: 1.4384 2022/07/30 12:59:16 - mmengine - INFO - Epoch(train) [167][3720/3757] lr: 1.4852e-04 eta: 5:39:03 time: 0.4092 data_time: 0.0229 memory: 17006 grad_norm: 12.3712 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0786 loss: 1.0786 2022/07/30 12:59:24 - mmengine - INFO - Epoch(train) [167][3740/3757] lr: 1.4852e-04 eta: 5:38:55 time: 0.4071 data_time: 0.0192 memory: 17006 grad_norm: 11.5544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/07/30 12:59:31 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 12:59:31 - mmengine - INFO - Epoch(train) [167][3757/3757] lr: 1.4852e-04 eta: 5:38:55 time: 0.4012 data_time: 0.0208 memory: 17006 grad_norm: 12.0384 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.2513 loss: 1.2513 2022/07/30 12:59:31 - mmengine - INFO - Saving checkpoint at 167 epochs 2022/07/30 12:59:45 - mmengine - INFO - Epoch(train) [168][20/3757] lr: 1.2815e-04 eta: 5:38:38 time: 0.4530 data_time: 0.0654 memory: 17006 grad_norm: 12.4061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1826 loss: 1.1826 2022/07/30 12:59:53 - mmengine - INFO - Epoch(train) [168][40/3757] lr: 1.2815e-04 eta: 5:38:30 time: 0.4275 data_time: 0.0250 memory: 17006 grad_norm: 12.2665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1596 loss: 1.1596 2022/07/30 13:00:01 - mmengine - INFO - Epoch(train) [168][60/3757] lr: 1.2815e-04 eta: 5:38:21 time: 0.4086 data_time: 0.0211 memory: 17006 grad_norm: 12.1486 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4087 loss: 1.4087 2022/07/30 13:00:09 - mmengine - INFO - Epoch(train) [168][80/3757] lr: 1.2815e-04 eta: 5:38:13 time: 0.4062 data_time: 0.0208 memory: 17006 grad_norm: 11.9048 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8933 loss: 0.8933 2022/07/30 13:00:19 - mmengine - INFO - Epoch(train) [168][100/3757] lr: 1.2815e-04 eta: 5:38:05 time: 0.4545 data_time: 0.0226 memory: 17006 grad_norm: 12.1750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/07/30 13:00:27 - mmengine - INFO - Epoch(train) [168][120/3757] lr: 1.2815e-04 eta: 5:37:56 time: 0.4092 data_time: 0.0228 memory: 17006 grad_norm: 12.4664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8439 loss: 0.8439 2022/07/30 13:00:36 - mmengine - INFO - Epoch(train) [168][140/3757] lr: 1.2815e-04 eta: 5:37:48 time: 0.4334 data_time: 0.0211 memory: 17006 grad_norm: 12.3002 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1689 loss: 1.1689 2022/07/30 13:00:44 - mmengine - INFO - Epoch(train) [168][160/3757] lr: 1.2815e-04 eta: 5:37:40 time: 0.4101 data_time: 0.0222 memory: 17006 grad_norm: 11.7309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1572 loss: 1.1572 2022/07/30 13:00:52 - mmengine - INFO - Epoch(train) [168][180/3757] lr: 1.2815e-04 eta: 5:37:31 time: 0.4180 data_time: 0.0222 memory: 17006 grad_norm: 11.8998 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9816 loss: 0.9816 2022/07/30 13:01:00 - mmengine - INFO - Epoch(train) [168][200/3757] lr: 1.2815e-04 eta: 5:37:23 time: 0.4106 data_time: 0.0209 memory: 17006 grad_norm: 12.4930 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0961 loss: 1.0961 2022/07/30 13:01:09 - mmengine - INFO - Epoch(train) [168][220/3757] lr: 1.2815e-04 eta: 5:37:15 time: 0.4071 data_time: 0.0207 memory: 17006 grad_norm: 12.2217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1222 loss: 1.1222 2022/07/30 13:01:17 - mmengine - INFO - Epoch(train) [168][240/3757] lr: 1.2815e-04 eta: 5:37:06 time: 0.4223 data_time: 0.0220 memory: 17006 grad_norm: 12.1608 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2162 loss: 1.2162 2022/07/30 13:01:25 - mmengine - INFO - Epoch(train) [168][260/3757] lr: 1.2815e-04 eta: 5:36:58 time: 0.4109 data_time: 0.0208 memory: 17006 grad_norm: 11.9785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2506 loss: 1.2506 2022/07/30 13:01:34 - mmengine - INFO - Epoch(train) [168][280/3757] lr: 1.2815e-04 eta: 5:36:50 time: 0.4152 data_time: 0.0221 memory: 17006 grad_norm: 12.3482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9323 loss: 0.9323 2022/07/30 13:01:42 - mmengine - INFO - Epoch(train) [168][300/3757] lr: 1.2815e-04 eta: 5:36:41 time: 0.4088 data_time: 0.0220 memory: 17006 grad_norm: 12.1961 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1866 loss: 1.1866 2022/07/30 13:01:50 - mmengine - INFO - Epoch(train) [168][320/3757] lr: 1.2815e-04 eta: 5:36:33 time: 0.4127 data_time: 0.0219 memory: 17006 grad_norm: 12.0722 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/07/30 13:01:58 - mmengine - INFO - Epoch(train) [168][340/3757] lr: 1.2815e-04 eta: 5:36:25 time: 0.4144 data_time: 0.0195 memory: 17006 grad_norm: 12.1895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9606 loss: 0.9606 2022/07/30 13:02:07 - mmengine - INFO - Epoch(train) [168][360/3757] lr: 1.2815e-04 eta: 5:36:16 time: 0.4133 data_time: 0.0219 memory: 17006 grad_norm: 11.8842 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0275 loss: 1.0275 2022/07/30 13:02:15 - mmengine - INFO - Epoch(train) [168][380/3757] lr: 1.2815e-04 eta: 5:36:08 time: 0.4207 data_time: 0.0209 memory: 17006 grad_norm: 11.8807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1130 loss: 1.1130 2022/07/30 13:02:23 - mmengine - INFO - Epoch(train) [168][400/3757] lr: 1.2815e-04 eta: 5:36:00 time: 0.4084 data_time: 0.0210 memory: 17006 grad_norm: 12.2292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3170 loss: 1.3170 2022/07/30 13:02:32 - mmengine - INFO - Epoch(train) [168][420/3757] lr: 1.2815e-04 eta: 5:35:51 time: 0.4165 data_time: 0.0230 memory: 17006 grad_norm: 12.6739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/07/30 13:02:40 - mmengine - INFO - Epoch(train) [168][440/3757] lr: 1.2815e-04 eta: 5:35:43 time: 0.4061 data_time: 0.0226 memory: 17006 grad_norm: 11.9122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1274 loss: 1.1274 2022/07/30 13:02:48 - mmengine - INFO - Epoch(train) [168][460/3757] lr: 1.2815e-04 eta: 5:35:35 time: 0.4140 data_time: 0.0221 memory: 17006 grad_norm: 12.0588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3698 loss: 1.3698 2022/07/30 13:02:56 - mmengine - INFO - Epoch(train) [168][480/3757] lr: 1.2815e-04 eta: 5:35:26 time: 0.4125 data_time: 0.0207 memory: 17006 grad_norm: 12.4569 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1480 loss: 1.1480 2022/07/30 13:03:05 - mmengine - INFO - Epoch(train) [168][500/3757] lr: 1.2815e-04 eta: 5:35:18 time: 0.4181 data_time: 0.0214 memory: 17006 grad_norm: 12.5990 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3545 loss: 1.3545 2022/07/30 13:03:13 - mmengine - INFO - Epoch(train) [168][520/3757] lr: 1.2815e-04 eta: 5:35:10 time: 0.4171 data_time: 0.0216 memory: 17006 grad_norm: 11.8599 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1984 loss: 1.1984 2022/07/30 13:03:22 - mmengine - INFO - Epoch(train) [168][540/3757] lr: 1.2815e-04 eta: 5:35:01 time: 0.4212 data_time: 0.0206 memory: 17006 grad_norm: 12.8003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3448 loss: 1.3448 2022/07/30 13:03:30 - mmengine - INFO - Epoch(train) [168][560/3757] lr: 1.2815e-04 eta: 5:34:53 time: 0.4054 data_time: 0.0204 memory: 17006 grad_norm: 12.2827 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0930 loss: 1.0930 2022/07/30 13:03:38 - mmengine - INFO - Epoch(train) [168][580/3757] lr: 1.2815e-04 eta: 5:34:45 time: 0.4145 data_time: 0.0227 memory: 17006 grad_norm: 12.6444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1576 loss: 1.1576 2022/07/30 13:03:39 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:03:46 - mmengine - INFO - Epoch(train) [168][600/3757] lr: 1.2815e-04 eta: 5:34:36 time: 0.4086 data_time: 0.0214 memory: 17006 grad_norm: 12.1280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1083 loss: 1.1083 2022/07/30 13:03:55 - mmengine - INFO - Epoch(train) [168][620/3757] lr: 1.2815e-04 eta: 5:34:28 time: 0.4183 data_time: 0.0198 memory: 17006 grad_norm: 12.4764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2136 loss: 1.2136 2022/07/30 13:04:03 - mmengine - INFO - Epoch(train) [168][640/3757] lr: 1.2815e-04 eta: 5:34:20 time: 0.4089 data_time: 0.0219 memory: 17006 grad_norm: 12.3225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0612 loss: 1.0612 2022/07/30 13:04:11 - mmengine - INFO - Epoch(train) [168][660/3757] lr: 1.2815e-04 eta: 5:34:11 time: 0.4139 data_time: 0.0214 memory: 17006 grad_norm: 11.9974 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2091 loss: 1.2091 2022/07/30 13:04:19 - mmengine - INFO - Epoch(train) [168][680/3757] lr: 1.2815e-04 eta: 5:34:03 time: 0.4071 data_time: 0.0209 memory: 17006 grad_norm: 11.6812 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0567 loss: 1.0567 2022/07/30 13:04:28 - mmengine - INFO - Epoch(train) [168][700/3757] lr: 1.2815e-04 eta: 5:33:55 time: 0.4361 data_time: 0.0205 memory: 17006 grad_norm: 11.2832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0791 loss: 1.0791 2022/07/30 13:04:37 - mmengine - INFO - Epoch(train) [168][720/3757] lr: 1.2815e-04 eta: 5:33:46 time: 0.4162 data_time: 0.0238 memory: 17006 grad_norm: 12.1589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1051 loss: 1.1051 2022/07/30 13:04:45 - mmengine - INFO - Epoch(train) [168][740/3757] lr: 1.2815e-04 eta: 5:33:38 time: 0.4069 data_time: 0.0209 memory: 17006 grad_norm: 12.5032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0144 loss: 1.0144 2022/07/30 13:04:53 - mmengine - INFO - Epoch(train) [168][760/3757] lr: 1.2815e-04 eta: 5:33:30 time: 0.4265 data_time: 0.0233 memory: 17006 grad_norm: 11.9961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9992 loss: 0.9992 2022/07/30 13:05:01 - mmengine - INFO - Epoch(train) [168][780/3757] lr: 1.2815e-04 eta: 5:33:21 time: 0.4083 data_time: 0.0210 memory: 17006 grad_norm: 11.6977 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1170 loss: 1.1170 2022/07/30 13:05:10 - mmengine - INFO - Epoch(train) [168][800/3757] lr: 1.2815e-04 eta: 5:33:13 time: 0.4080 data_time: 0.0231 memory: 17006 grad_norm: 12.0984 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9420 loss: 0.9420 2022/07/30 13:05:18 - mmengine - INFO - Epoch(train) [168][820/3757] lr: 1.2815e-04 eta: 5:33:05 time: 0.4116 data_time: 0.0215 memory: 17006 grad_norm: 11.6489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0923 loss: 1.0923 2022/07/30 13:05:26 - mmengine - INFO - Epoch(train) [168][840/3757] lr: 1.2815e-04 eta: 5:32:56 time: 0.4168 data_time: 0.0218 memory: 17006 grad_norm: 11.7879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0344 loss: 1.0344 2022/07/30 13:05:35 - mmengine - INFO - Epoch(train) [168][860/3757] lr: 1.2815e-04 eta: 5:32:48 time: 0.4194 data_time: 0.0226 memory: 17006 grad_norm: 11.7632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8311 loss: 0.8311 2022/07/30 13:05:43 - mmengine - INFO - Epoch(train) [168][880/3757] lr: 1.2815e-04 eta: 5:32:40 time: 0.4062 data_time: 0.0207 memory: 17006 grad_norm: 11.5667 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1047 loss: 1.1047 2022/07/30 13:05:51 - mmengine - INFO - Epoch(train) [168][900/3757] lr: 1.2815e-04 eta: 5:32:31 time: 0.4204 data_time: 0.0221 memory: 17006 grad_norm: 12.2089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/07/30 13:06:00 - mmengine - INFO - Epoch(train) [168][920/3757] lr: 1.2815e-04 eta: 5:32:23 time: 0.4078 data_time: 0.0212 memory: 17006 grad_norm: 11.4401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9586 loss: 0.9586 2022/07/30 13:06:08 - mmengine - INFO - Epoch(train) [168][940/3757] lr: 1.2815e-04 eta: 5:32:15 time: 0.4116 data_time: 0.0204 memory: 17006 grad_norm: 11.9366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3784 loss: 1.3784 2022/07/30 13:06:16 - mmengine - INFO - Epoch(train) [168][960/3757] lr: 1.2815e-04 eta: 5:32:06 time: 0.4209 data_time: 0.0224 memory: 17006 grad_norm: 12.4886 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3422 loss: 1.3422 2022/07/30 13:06:24 - mmengine - INFO - Epoch(train) [168][980/3757] lr: 1.2815e-04 eta: 5:31:58 time: 0.4121 data_time: 0.0209 memory: 17006 grad_norm: 11.8296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9210 loss: 0.9210 2022/07/30 13:06:33 - mmengine - INFO - Epoch(train) [168][1000/3757] lr: 1.2815e-04 eta: 5:31:50 time: 0.4225 data_time: 0.0216 memory: 17006 grad_norm: 12.3257 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0812 loss: 1.0812 2022/07/30 13:06:41 - mmengine - INFO - Epoch(train) [168][1020/3757] lr: 1.2815e-04 eta: 5:31:41 time: 0.4204 data_time: 0.0227 memory: 17006 grad_norm: 12.5729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9698 loss: 0.9698 2022/07/30 13:06:50 - mmengine - INFO - Epoch(train) [168][1040/3757] lr: 1.2815e-04 eta: 5:31:33 time: 0.4066 data_time: 0.0217 memory: 17006 grad_norm: 12.3353 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/07/30 13:06:58 - mmengine - INFO - Epoch(train) [168][1060/3757] lr: 1.2815e-04 eta: 5:31:25 time: 0.4191 data_time: 0.0206 memory: 17006 grad_norm: 12.3412 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2328 loss: 1.2328 2022/07/30 13:07:06 - mmengine - INFO - Epoch(train) [168][1080/3757] lr: 1.2815e-04 eta: 5:31:16 time: 0.4096 data_time: 0.0217 memory: 17006 grad_norm: 12.0214 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1285 loss: 1.1285 2022/07/30 13:07:14 - mmengine - INFO - Epoch(train) [168][1100/3757] lr: 1.2815e-04 eta: 5:31:08 time: 0.4109 data_time: 0.0208 memory: 17006 grad_norm: 11.7382 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2308 loss: 1.2308 2022/07/30 13:07:23 - mmengine - INFO - Epoch(train) [168][1120/3757] lr: 1.2815e-04 eta: 5:31:00 time: 0.4090 data_time: 0.0215 memory: 17006 grad_norm: 12.1432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4290 loss: 1.4290 2022/07/30 13:07:31 - mmengine - INFO - Epoch(train) [168][1140/3757] lr: 1.2815e-04 eta: 5:30:51 time: 0.4225 data_time: 0.0209 memory: 17006 grad_norm: 12.4996 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2960 loss: 1.2960 2022/07/30 13:07:39 - mmengine - INFO - Epoch(train) [168][1160/3757] lr: 1.2815e-04 eta: 5:30:43 time: 0.4063 data_time: 0.0199 memory: 17006 grad_norm: 11.7769 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/07/30 13:07:48 - mmengine - INFO - Epoch(train) [168][1180/3757] lr: 1.2815e-04 eta: 5:30:35 time: 0.4084 data_time: 0.0234 memory: 17006 grad_norm: 12.5269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1963 loss: 1.1963 2022/07/30 13:07:56 - mmengine - INFO - Epoch(train) [168][1200/3757] lr: 1.2815e-04 eta: 5:30:26 time: 0.4121 data_time: 0.0222 memory: 17006 grad_norm: 12.5223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1668 loss: 1.1668 2022/07/30 13:08:04 - mmengine - INFO - Epoch(train) [168][1220/3757] lr: 1.2815e-04 eta: 5:30:18 time: 0.4070 data_time: 0.0197 memory: 17006 grad_norm: 12.6960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1432 loss: 1.1432 2022/07/30 13:08:12 - mmengine - INFO - Epoch(train) [168][1240/3757] lr: 1.2815e-04 eta: 5:30:10 time: 0.4172 data_time: 0.0225 memory: 17006 grad_norm: 11.8493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/07/30 13:08:21 - mmengine - INFO - Epoch(train) [168][1260/3757] lr: 1.2815e-04 eta: 5:30:01 time: 0.4077 data_time: 0.0213 memory: 17006 grad_norm: 12.6407 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2030 loss: 1.2030 2022/07/30 13:08:29 - mmengine - INFO - Epoch(train) [168][1280/3757] lr: 1.2815e-04 eta: 5:29:53 time: 0.4064 data_time: 0.0223 memory: 17006 grad_norm: 12.3642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/07/30 13:08:37 - mmengine - INFO - Epoch(train) [168][1300/3757] lr: 1.2815e-04 eta: 5:29:45 time: 0.4246 data_time: 0.0236 memory: 17006 grad_norm: 12.3743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/07/30 13:08:45 - mmengine - INFO - Epoch(train) [168][1320/3757] lr: 1.2815e-04 eta: 5:29:36 time: 0.4069 data_time: 0.0214 memory: 17006 grad_norm: 11.9093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1562 loss: 1.1562 2022/07/30 13:08:54 - mmengine - INFO - Epoch(train) [168][1340/3757] lr: 1.2815e-04 eta: 5:29:28 time: 0.4274 data_time: 0.0254 memory: 17006 grad_norm: 12.5341 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1405 loss: 1.1405 2022/07/30 13:09:02 - mmengine - INFO - Epoch(train) [168][1360/3757] lr: 1.2815e-04 eta: 5:29:20 time: 0.4061 data_time: 0.0210 memory: 17006 grad_norm: 12.6097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4142 loss: 1.4142 2022/07/30 13:09:10 - mmengine - INFO - Epoch(train) [168][1380/3757] lr: 1.2815e-04 eta: 5:29:11 time: 0.4054 data_time: 0.0200 memory: 17006 grad_norm: 12.5831 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/07/30 13:09:19 - mmengine - INFO - Epoch(train) [168][1400/3757] lr: 1.2815e-04 eta: 5:29:03 time: 0.4208 data_time: 0.0225 memory: 17006 grad_norm: 12.3221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2256 loss: 1.2256 2022/07/30 13:09:27 - mmengine - INFO - Epoch(train) [168][1420/3757] lr: 1.2815e-04 eta: 5:28:55 time: 0.4072 data_time: 0.0211 memory: 17006 grad_norm: 12.0293 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2533 loss: 1.2533 2022/07/30 13:09:36 - mmengine - INFO - Epoch(train) [168][1440/3757] lr: 1.2815e-04 eta: 5:28:46 time: 0.4342 data_time: 0.0211 memory: 17006 grad_norm: 12.3455 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1675 loss: 1.1675 2022/07/30 13:09:44 - mmengine - INFO - Epoch(train) [168][1460/3757] lr: 1.2815e-04 eta: 5:28:38 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 12.4880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2316 loss: 1.2316 2022/07/30 13:09:52 - mmengine - INFO - Epoch(train) [168][1480/3757] lr: 1.2815e-04 eta: 5:28:30 time: 0.4161 data_time: 0.0220 memory: 17006 grad_norm: 12.6199 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3423 loss: 1.3423 2022/07/30 13:10:00 - mmengine - INFO - Epoch(train) [168][1500/3757] lr: 1.2815e-04 eta: 5:28:21 time: 0.4074 data_time: 0.0213 memory: 17006 grad_norm: 12.3006 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3629 loss: 1.3629 2022/07/30 13:10:08 - mmengine - INFO - Epoch(train) [168][1520/3757] lr: 1.2815e-04 eta: 5:28:13 time: 0.4073 data_time: 0.0211 memory: 17006 grad_norm: 12.1214 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/07/30 13:10:17 - mmengine - INFO - Epoch(train) [168][1540/3757] lr: 1.2815e-04 eta: 5:28:05 time: 0.4209 data_time: 0.0227 memory: 17006 grad_norm: 12.2108 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3922 loss: 1.3922 2022/07/30 13:10:25 - mmengine - INFO - Epoch(train) [168][1560/3757] lr: 1.2815e-04 eta: 5:27:56 time: 0.4055 data_time: 0.0207 memory: 17006 grad_norm: 12.0168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1141 loss: 1.1141 2022/07/30 13:10:34 - mmengine - INFO - Epoch(train) [168][1580/3757] lr: 1.2815e-04 eta: 5:27:48 time: 0.4257 data_time: 0.0231 memory: 17006 grad_norm: 12.2429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2511 loss: 1.2511 2022/07/30 13:10:34 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:10:42 - mmengine - INFO - Epoch(train) [168][1600/3757] lr: 1.2815e-04 eta: 5:27:40 time: 0.4054 data_time: 0.0210 memory: 17006 grad_norm: 11.2725 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8521 loss: 0.8521 2022/07/30 13:10:50 - mmengine - INFO - Epoch(train) [168][1620/3757] lr: 1.2815e-04 eta: 5:27:31 time: 0.4065 data_time: 0.0207 memory: 17006 grad_norm: 12.6232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9462 loss: 0.9462 2022/07/30 13:10:58 - mmengine - INFO - Epoch(train) [168][1640/3757] lr: 1.2815e-04 eta: 5:27:23 time: 0.4290 data_time: 0.0236 memory: 17006 grad_norm: 11.7242 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3435 loss: 1.3435 2022/07/30 13:11:07 - mmengine - INFO - Epoch(train) [168][1660/3757] lr: 1.2815e-04 eta: 5:27:15 time: 0.4061 data_time: 0.0205 memory: 17006 grad_norm: 12.5061 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1380 loss: 1.1380 2022/07/30 13:11:15 - mmengine - INFO - Epoch(train) [168][1680/3757] lr: 1.2815e-04 eta: 5:27:06 time: 0.4360 data_time: 0.0217 memory: 17006 grad_norm: 11.9924 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/07/30 13:11:24 - mmengine - INFO - Epoch(train) [168][1700/3757] lr: 1.2815e-04 eta: 5:26:58 time: 0.4071 data_time: 0.0211 memory: 17006 grad_norm: 11.4384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/07/30 13:11:32 - mmengine - INFO - Epoch(train) [168][1720/3757] lr: 1.2815e-04 eta: 5:26:50 time: 0.4301 data_time: 0.0244 memory: 17006 grad_norm: 11.9979 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9976 loss: 0.9976 2022/07/30 13:11:40 - mmengine - INFO - Epoch(train) [168][1740/3757] lr: 1.2815e-04 eta: 5:26:41 time: 0.4058 data_time: 0.0200 memory: 17006 grad_norm: 11.6666 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9566 loss: 0.9566 2022/07/30 13:11:49 - mmengine - INFO - Epoch(train) [168][1760/3757] lr: 1.2815e-04 eta: 5:26:33 time: 0.4071 data_time: 0.0206 memory: 17006 grad_norm: 12.1125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8957 loss: 0.8957 2022/07/30 13:11:57 - mmengine - INFO - Epoch(train) [168][1780/3757] lr: 1.2815e-04 eta: 5:26:25 time: 0.4453 data_time: 0.0224 memory: 17006 grad_norm: 11.8844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9719 loss: 0.9719 2022/07/30 13:12:06 - mmengine - INFO - Epoch(train) [168][1800/3757] lr: 1.2815e-04 eta: 5:26:16 time: 0.4088 data_time: 0.0213 memory: 17006 grad_norm: 12.7620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1817 loss: 1.1817 2022/07/30 13:12:14 - mmengine - INFO - Epoch(train) [168][1820/3757] lr: 1.2815e-04 eta: 5:26:08 time: 0.4162 data_time: 0.0237 memory: 17006 grad_norm: 12.4421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3666 loss: 1.3666 2022/07/30 13:12:22 - mmengine - INFO - Epoch(train) [168][1840/3757] lr: 1.2815e-04 eta: 5:26:00 time: 0.4124 data_time: 0.0204 memory: 17006 grad_norm: 12.0908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9561 loss: 0.9561 2022/07/30 13:12:30 - mmengine - INFO - Epoch(train) [168][1860/3757] lr: 1.2815e-04 eta: 5:25:51 time: 0.4077 data_time: 0.0208 memory: 17006 grad_norm: 12.3409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3821 loss: 1.3821 2022/07/30 13:12:39 - mmengine - INFO - Epoch(train) [168][1880/3757] lr: 1.2815e-04 eta: 5:25:43 time: 0.4190 data_time: 0.0230 memory: 17006 grad_norm: 12.4572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1611 loss: 1.1611 2022/07/30 13:12:47 - mmengine - INFO - Epoch(train) [168][1900/3757] lr: 1.2815e-04 eta: 5:25:35 time: 0.4075 data_time: 0.0204 memory: 17006 grad_norm: 12.3028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2266 loss: 1.2266 2022/07/30 13:12:56 - mmengine - INFO - Epoch(train) [168][1920/3757] lr: 1.2815e-04 eta: 5:25:26 time: 0.4196 data_time: 0.0225 memory: 17006 grad_norm: 11.5726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8835 loss: 0.8835 2022/07/30 13:13:04 - mmengine - INFO - Epoch(train) [168][1940/3757] lr: 1.2815e-04 eta: 5:25:18 time: 0.4082 data_time: 0.0217 memory: 17006 grad_norm: 12.0670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9786 loss: 0.9786 2022/07/30 13:13:12 - mmengine - INFO - Epoch(train) [168][1960/3757] lr: 1.2815e-04 eta: 5:25:10 time: 0.4268 data_time: 0.0223 memory: 17006 grad_norm: 12.4378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0789 loss: 1.0789 2022/07/30 13:13:20 - mmengine - INFO - Epoch(train) [168][1980/3757] lr: 1.2815e-04 eta: 5:25:01 time: 0.4082 data_time: 0.0218 memory: 17006 grad_norm: 12.3160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2335 loss: 1.2335 2022/07/30 13:13:29 - mmengine - INFO - Epoch(train) [168][2000/3757] lr: 1.2815e-04 eta: 5:24:53 time: 0.4080 data_time: 0.0201 memory: 17006 grad_norm: 12.0793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0880 loss: 1.0880 2022/07/30 13:13:37 - mmengine - INFO - Epoch(train) [168][2020/3757] lr: 1.2815e-04 eta: 5:24:45 time: 0.4178 data_time: 0.0225 memory: 17006 grad_norm: 12.2783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2711 loss: 1.2711 2022/07/30 13:13:45 - mmengine - INFO - Epoch(train) [168][2040/3757] lr: 1.2815e-04 eta: 5:24:36 time: 0.4086 data_time: 0.0224 memory: 17006 grad_norm: 12.1276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0493 loss: 1.0493 2022/07/30 13:13:54 - mmengine - INFO - Epoch(train) [168][2060/3757] lr: 1.2815e-04 eta: 5:24:28 time: 0.4287 data_time: 0.0203 memory: 17006 grad_norm: 11.5199 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8552 loss: 0.8552 2022/07/30 13:14:02 - mmengine - INFO - Epoch(train) [168][2080/3757] lr: 1.2815e-04 eta: 5:24:20 time: 0.4088 data_time: 0.0218 memory: 17006 grad_norm: 12.1040 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2064 loss: 1.2064 2022/07/30 13:14:10 - mmengine - INFO - Epoch(train) [168][2100/3757] lr: 1.2815e-04 eta: 5:24:11 time: 0.4071 data_time: 0.0217 memory: 17006 grad_norm: 12.2492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0400 loss: 1.0400 2022/07/30 13:14:19 - mmengine - INFO - Epoch(train) [168][2120/3757] lr: 1.2815e-04 eta: 5:24:03 time: 0.4148 data_time: 0.0215 memory: 17006 grad_norm: 12.2872 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0863 loss: 1.0863 2022/07/30 13:14:27 - mmengine - INFO - Epoch(train) [168][2140/3757] lr: 1.2815e-04 eta: 5:23:55 time: 0.4238 data_time: 0.0210 memory: 17006 grad_norm: 11.8186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0436 loss: 1.0436 2022/07/30 13:14:35 - mmengine - INFO - Epoch(train) [168][2160/3757] lr: 1.2815e-04 eta: 5:23:46 time: 0.4180 data_time: 0.0217 memory: 17006 grad_norm: 12.8565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1947 loss: 1.1947 2022/07/30 13:14:44 - mmengine - INFO - Epoch(train) [168][2180/3757] lr: 1.2815e-04 eta: 5:23:38 time: 0.4090 data_time: 0.0212 memory: 17006 grad_norm: 12.6414 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0145 loss: 1.0145 2022/07/30 13:14:52 - mmengine - INFO - Epoch(train) [168][2200/3757] lr: 1.2815e-04 eta: 5:23:30 time: 0.4130 data_time: 0.0228 memory: 17006 grad_norm: 11.8683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3308 loss: 1.3308 2022/07/30 13:15:00 - mmengine - INFO - Epoch(train) [168][2220/3757] lr: 1.2815e-04 eta: 5:23:21 time: 0.4078 data_time: 0.0206 memory: 17006 grad_norm: 11.7052 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7966 loss: 0.7966 2022/07/30 13:15:08 - mmengine - INFO - Epoch(train) [168][2240/3757] lr: 1.2815e-04 eta: 5:23:13 time: 0.4094 data_time: 0.0201 memory: 17006 grad_norm: 12.5334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/07/30 13:15:17 - mmengine - INFO - Epoch(train) [168][2260/3757] lr: 1.2815e-04 eta: 5:23:05 time: 0.4334 data_time: 0.0227 memory: 17006 grad_norm: 12.0946 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2068 loss: 1.2068 2022/07/30 13:15:26 - mmengine - INFO - Epoch(train) [168][2280/3757] lr: 1.2815e-04 eta: 5:22:56 time: 0.4222 data_time: 0.0199 memory: 17006 grad_norm: 11.8901 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0970 loss: 1.0970 2022/07/30 13:15:34 - mmengine - INFO - Epoch(train) [168][2300/3757] lr: 1.2815e-04 eta: 5:22:48 time: 0.4303 data_time: 0.0303 memory: 17006 grad_norm: 12.3222 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0991 loss: 1.0991 2022/07/30 13:15:42 - mmengine - INFO - Epoch(train) [168][2320/3757] lr: 1.2815e-04 eta: 5:22:40 time: 0.4067 data_time: 0.0215 memory: 17006 grad_norm: 12.2239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9926 loss: 0.9926 2022/07/30 13:15:51 - mmengine - INFO - Epoch(train) [168][2340/3757] lr: 1.2815e-04 eta: 5:22:31 time: 0.4070 data_time: 0.0214 memory: 17006 grad_norm: 11.9041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9154 loss: 0.9154 2022/07/30 13:15:59 - mmengine - INFO - Epoch(train) [168][2360/3757] lr: 1.2815e-04 eta: 5:22:23 time: 0.4368 data_time: 0.0348 memory: 17006 grad_norm: 12.2962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1379 loss: 1.1379 2022/07/30 13:16:07 - mmengine - INFO - Epoch(train) [168][2380/3757] lr: 1.2815e-04 eta: 5:22:15 time: 0.4078 data_time: 0.0209 memory: 17006 grad_norm: 12.5104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1336 loss: 1.1336 2022/07/30 13:16:16 - mmengine - INFO - Epoch(train) [168][2400/3757] lr: 1.2815e-04 eta: 5:22:07 time: 0.4218 data_time: 0.0218 memory: 17006 grad_norm: 12.3445 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0729 loss: 1.0729 2022/07/30 13:16:24 - mmengine - INFO - Epoch(train) [168][2420/3757] lr: 1.2815e-04 eta: 5:21:58 time: 0.4147 data_time: 0.0216 memory: 17006 grad_norm: 12.5143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2373 loss: 1.2373 2022/07/30 13:16:33 - mmengine - INFO - Epoch(train) [168][2440/3757] lr: 1.2815e-04 eta: 5:21:50 time: 0.4291 data_time: 0.0222 memory: 17006 grad_norm: 12.3806 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9971 loss: 0.9971 2022/07/30 13:16:41 - mmengine - INFO - Epoch(train) [168][2460/3757] lr: 1.2815e-04 eta: 5:21:42 time: 0.4073 data_time: 0.0224 memory: 17006 grad_norm: 12.3919 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0627 loss: 1.0627 2022/07/30 13:16:50 - mmengine - INFO - Epoch(train) [168][2480/3757] lr: 1.2815e-04 eta: 5:21:33 time: 0.4289 data_time: 0.0220 memory: 17006 grad_norm: 12.2840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/07/30 13:16:58 - mmengine - INFO - Epoch(train) [168][2500/3757] lr: 1.2815e-04 eta: 5:21:25 time: 0.4198 data_time: 0.0225 memory: 17006 grad_norm: 11.8399 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0033 loss: 1.0033 2022/07/30 13:17:06 - mmengine - INFO - Epoch(train) [168][2520/3757] lr: 1.2815e-04 eta: 5:21:17 time: 0.4093 data_time: 0.0221 memory: 17006 grad_norm: 12.4525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8663 loss: 0.8663 2022/07/30 13:17:16 - mmengine - INFO - Epoch(train) [168][2540/3757] lr: 1.2815e-04 eta: 5:21:09 time: 0.4633 data_time: 0.0210 memory: 17006 grad_norm: 12.2641 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1785 loss: 1.1785 2022/07/30 13:17:24 - mmengine - INFO - Epoch(train) [168][2560/3757] lr: 1.2815e-04 eta: 5:21:00 time: 0.4089 data_time: 0.0206 memory: 17006 grad_norm: 12.2844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1770 loss: 1.1770 2022/07/30 13:17:32 - mmengine - INFO - Epoch(train) [168][2580/3757] lr: 1.2815e-04 eta: 5:20:52 time: 0.4251 data_time: 0.0228 memory: 17006 grad_norm: 12.1422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1218 loss: 1.1218 2022/07/30 13:17:33 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:17:40 - mmengine - INFO - Epoch(train) [168][2600/3757] lr: 1.2815e-04 eta: 5:20:44 time: 0.4062 data_time: 0.0203 memory: 17006 grad_norm: 12.5651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9597 loss: 0.9597 2022/07/30 13:17:49 - mmengine - INFO - Epoch(train) [168][2620/3757] lr: 1.2815e-04 eta: 5:20:35 time: 0.4094 data_time: 0.0221 memory: 17006 grad_norm: 12.5245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3349 loss: 1.3349 2022/07/30 13:17:57 - mmengine - INFO - Epoch(train) [168][2640/3757] lr: 1.2815e-04 eta: 5:20:27 time: 0.4195 data_time: 0.0207 memory: 17006 grad_norm: 12.3104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/07/30 13:18:05 - mmengine - INFO - Epoch(train) [168][2660/3757] lr: 1.2815e-04 eta: 5:20:19 time: 0.4083 data_time: 0.0214 memory: 17006 grad_norm: 13.1331 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7253 loss: 1.7253 2022/07/30 13:18:14 - mmengine - INFO - Epoch(train) [168][2680/3757] lr: 1.2815e-04 eta: 5:20:10 time: 0.4313 data_time: 0.0220 memory: 17006 grad_norm: 12.4233 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2693 loss: 1.2693 2022/07/30 13:18:22 - mmengine - INFO - Epoch(train) [168][2700/3757] lr: 1.2815e-04 eta: 5:20:02 time: 0.4060 data_time: 0.0207 memory: 17006 grad_norm: 11.8896 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8644 loss: 0.8644 2022/07/30 13:18:30 - mmengine - INFO - Epoch(train) [168][2720/3757] lr: 1.2815e-04 eta: 5:19:54 time: 0.4064 data_time: 0.0213 memory: 17006 grad_norm: 11.9930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0298 loss: 1.0298 2022/07/30 13:18:39 - mmengine - INFO - Epoch(train) [168][2740/3757] lr: 1.2815e-04 eta: 5:19:45 time: 0.4360 data_time: 0.0216 memory: 17006 grad_norm: 12.0622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0096 loss: 1.0096 2022/07/30 13:18:47 - mmengine - INFO - Epoch(train) [168][2760/3757] lr: 1.2815e-04 eta: 5:19:37 time: 0.4122 data_time: 0.0219 memory: 17006 grad_norm: 12.3068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3811 loss: 1.3811 2022/07/30 13:18:56 - mmengine - INFO - Epoch(train) [168][2780/3757] lr: 1.2815e-04 eta: 5:19:29 time: 0.4250 data_time: 0.0219 memory: 17006 grad_norm: 11.9408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0905 loss: 1.0905 2022/07/30 13:19:04 - mmengine - INFO - Epoch(train) [168][2800/3757] lr: 1.2815e-04 eta: 5:19:20 time: 0.4089 data_time: 0.0217 memory: 17006 grad_norm: 12.2746 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/07/30 13:19:12 - mmengine - INFO - Epoch(train) [168][2820/3757] lr: 1.2815e-04 eta: 5:19:12 time: 0.4160 data_time: 0.0222 memory: 17006 grad_norm: 11.7600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2461 loss: 1.2461 2022/07/30 13:19:21 - mmengine - INFO - Epoch(train) [168][2840/3757] lr: 1.2815e-04 eta: 5:19:04 time: 0.4071 data_time: 0.0212 memory: 17006 grad_norm: 11.8293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1145 loss: 1.1145 2022/07/30 13:19:29 - mmengine - INFO - Epoch(train) [168][2860/3757] lr: 1.2815e-04 eta: 5:18:55 time: 0.4104 data_time: 0.0217 memory: 17006 grad_norm: 12.5058 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4426 loss: 1.4426 2022/07/30 13:19:37 - mmengine - INFO - Epoch(train) [168][2880/3757] lr: 1.2815e-04 eta: 5:18:47 time: 0.4228 data_time: 0.0255 memory: 17006 grad_norm: 12.1902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0619 loss: 1.0619 2022/07/30 13:19:46 - mmengine - INFO - Epoch(train) [168][2900/3757] lr: 1.2815e-04 eta: 5:18:39 time: 0.4095 data_time: 0.0214 memory: 17006 grad_norm: 11.9611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2184 loss: 1.2184 2022/07/30 13:19:54 - mmengine - INFO - Epoch(train) [168][2920/3757] lr: 1.2815e-04 eta: 5:18:30 time: 0.4217 data_time: 0.0222 memory: 17006 grad_norm: 12.0187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1625 loss: 1.1625 2022/07/30 13:20:02 - mmengine - INFO - Epoch(train) [168][2940/3757] lr: 1.2815e-04 eta: 5:18:22 time: 0.4109 data_time: 0.0223 memory: 17006 grad_norm: 11.9936 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1509 loss: 1.1509 2022/07/30 13:20:10 - mmengine - INFO - Epoch(train) [168][2960/3757] lr: 1.2815e-04 eta: 5:18:14 time: 0.4071 data_time: 0.0221 memory: 17006 grad_norm: 11.7433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9314 loss: 0.9314 2022/07/30 13:20:19 - mmengine - INFO - Epoch(train) [168][2980/3757] lr: 1.2815e-04 eta: 5:18:05 time: 0.4112 data_time: 0.0221 memory: 17006 grad_norm: 11.8807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3313 loss: 1.3313 2022/07/30 13:20:27 - mmengine - INFO - Epoch(train) [168][3000/3757] lr: 1.2815e-04 eta: 5:17:57 time: 0.4084 data_time: 0.0224 memory: 17006 grad_norm: 12.3676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0603 loss: 1.0603 2022/07/30 13:20:35 - mmengine - INFO - Epoch(train) [168][3020/3757] lr: 1.2815e-04 eta: 5:17:49 time: 0.4164 data_time: 0.0233 memory: 17006 grad_norm: 12.7099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3349 loss: 1.3349 2022/07/30 13:20:44 - mmengine - INFO - Epoch(train) [168][3040/3757] lr: 1.2815e-04 eta: 5:17:40 time: 0.4157 data_time: 0.0220 memory: 17006 grad_norm: 12.6658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0118 loss: 1.0118 2022/07/30 13:20:52 - mmengine - INFO - Epoch(train) [168][3060/3757] lr: 1.2815e-04 eta: 5:17:32 time: 0.4067 data_time: 0.0216 memory: 17006 grad_norm: 12.4149 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3011 loss: 1.3011 2022/07/30 13:21:00 - mmengine - INFO - Epoch(train) [168][3080/3757] lr: 1.2815e-04 eta: 5:17:24 time: 0.4105 data_time: 0.0229 memory: 17006 grad_norm: 11.9687 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1176 loss: 1.1176 2022/07/30 13:21:08 - mmengine - INFO - Epoch(train) [168][3100/3757] lr: 1.2815e-04 eta: 5:17:15 time: 0.4081 data_time: 0.0205 memory: 17006 grad_norm: 12.2462 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0124 loss: 1.0124 2022/07/30 13:21:17 - mmengine - INFO - Epoch(train) [168][3120/3757] lr: 1.2815e-04 eta: 5:17:07 time: 0.4364 data_time: 0.0263 memory: 17006 grad_norm: 12.5653 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3420 loss: 1.3420 2022/07/30 13:21:25 - mmengine - INFO - Epoch(train) [168][3140/3757] lr: 1.2815e-04 eta: 5:16:59 time: 0.4066 data_time: 0.0208 memory: 17006 grad_norm: 12.4689 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3239 loss: 1.3239 2022/07/30 13:21:34 - mmengine - INFO - Epoch(train) [168][3160/3757] lr: 1.2815e-04 eta: 5:16:50 time: 0.4314 data_time: 0.0246 memory: 17006 grad_norm: 12.3678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/07/30 13:21:42 - mmengine - INFO - Epoch(train) [168][3180/3757] lr: 1.2815e-04 eta: 5:16:42 time: 0.4089 data_time: 0.0237 memory: 17006 grad_norm: 12.5365 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3099 loss: 1.3099 2022/07/30 13:21:50 - mmengine - INFO - Epoch(train) [168][3200/3757] lr: 1.2815e-04 eta: 5:16:34 time: 0.4071 data_time: 0.0212 memory: 17006 grad_norm: 12.6566 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3403 loss: 1.3403 2022/07/30 13:21:59 - mmengine - INFO - Epoch(train) [168][3220/3757] lr: 1.2815e-04 eta: 5:16:25 time: 0.4241 data_time: 0.0228 memory: 17006 grad_norm: 12.1870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2585 loss: 1.2585 2022/07/30 13:22:07 - mmengine - INFO - Epoch(train) [168][3240/3757] lr: 1.2815e-04 eta: 5:16:17 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 12.0049 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0065 loss: 1.0065 2022/07/30 13:22:15 - mmengine - INFO - Epoch(train) [168][3260/3757] lr: 1.2815e-04 eta: 5:16:09 time: 0.4229 data_time: 0.0227 memory: 17006 grad_norm: 11.4770 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2117 loss: 1.2117 2022/07/30 13:22:23 - mmengine - INFO - Epoch(train) [168][3280/3757] lr: 1.2815e-04 eta: 5:16:00 time: 0.4067 data_time: 0.0212 memory: 17006 grad_norm: 12.7116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0624 loss: 1.0624 2022/07/30 13:22:32 - mmengine - INFO - Epoch(train) [168][3300/3757] lr: 1.2815e-04 eta: 5:15:52 time: 0.4059 data_time: 0.0213 memory: 17006 grad_norm: 12.2968 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0583 loss: 1.0583 2022/07/30 13:22:40 - mmengine - INFO - Epoch(train) [168][3320/3757] lr: 1.2815e-04 eta: 5:15:44 time: 0.4297 data_time: 0.0237 memory: 17006 grad_norm: 12.3610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2198 loss: 1.2198 2022/07/30 13:22:48 - mmengine - INFO - Epoch(train) [168][3340/3757] lr: 1.2815e-04 eta: 5:15:35 time: 0.4085 data_time: 0.0225 memory: 17006 grad_norm: 12.4888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/07/30 13:22:57 - mmengine - INFO - Epoch(train) [168][3360/3757] lr: 1.2815e-04 eta: 5:15:27 time: 0.4209 data_time: 0.0232 memory: 17006 grad_norm: 11.6372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9293 loss: 0.9293 2022/07/30 13:23:05 - mmengine - INFO - Epoch(train) [168][3380/3757] lr: 1.2815e-04 eta: 5:15:19 time: 0.4134 data_time: 0.0220 memory: 17006 grad_norm: 11.8907 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2156 loss: 1.2156 2022/07/30 13:23:14 - mmengine - INFO - Epoch(train) [168][3400/3757] lr: 1.2815e-04 eta: 5:15:10 time: 0.4318 data_time: 0.0269 memory: 17006 grad_norm: 12.7171 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1727 loss: 1.1727 2022/07/30 13:23:22 - mmengine - INFO - Epoch(train) [168][3420/3757] lr: 1.2815e-04 eta: 5:15:02 time: 0.4078 data_time: 0.0214 memory: 17006 grad_norm: 12.5233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0904 loss: 1.0904 2022/07/30 13:23:30 - mmengine - INFO - Epoch(train) [168][3440/3757] lr: 1.2815e-04 eta: 5:14:54 time: 0.4071 data_time: 0.0217 memory: 17006 grad_norm: 12.5571 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1527 loss: 1.1527 2022/07/30 13:23:39 - mmengine - INFO - Epoch(train) [168][3460/3757] lr: 1.2815e-04 eta: 5:14:45 time: 0.4154 data_time: 0.0220 memory: 17006 grad_norm: 12.2438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3126 loss: 1.3126 2022/07/30 13:23:47 - mmengine - INFO - Epoch(train) [168][3480/3757] lr: 1.2815e-04 eta: 5:14:37 time: 0.4154 data_time: 0.0210 memory: 17006 grad_norm: 12.4453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2395 loss: 1.2395 2022/07/30 13:23:55 - mmengine - INFO - Epoch(train) [168][3500/3757] lr: 1.2815e-04 eta: 5:14:29 time: 0.4175 data_time: 0.0223 memory: 17006 grad_norm: 12.8130 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3026 loss: 1.3026 2022/07/30 13:24:03 - mmengine - INFO - Epoch(train) [168][3520/3757] lr: 1.2815e-04 eta: 5:14:20 time: 0.4077 data_time: 0.0224 memory: 17006 grad_norm: 11.8197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1292 loss: 1.1292 2022/07/30 13:24:12 - mmengine - INFO - Epoch(train) [168][3540/3757] lr: 1.2815e-04 eta: 5:14:12 time: 0.4110 data_time: 0.0221 memory: 17006 grad_norm: 12.0499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8739 loss: 0.8739 2022/07/30 13:24:20 - mmengine - INFO - Epoch(train) [168][3560/3757] lr: 1.2815e-04 eta: 5:14:04 time: 0.4079 data_time: 0.0206 memory: 17006 grad_norm: 11.9565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0673 loss: 1.0673 2022/07/30 13:24:28 - mmengine - INFO - Epoch(train) [168][3580/3757] lr: 1.2815e-04 eta: 5:13:55 time: 0.4234 data_time: 0.0232 memory: 17006 grad_norm: 11.7734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/07/30 13:24:29 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:24:37 - mmengine - INFO - Epoch(train) [168][3600/3757] lr: 1.2815e-04 eta: 5:13:47 time: 0.4061 data_time: 0.0212 memory: 17006 grad_norm: 11.8134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/07/30 13:24:45 - mmengine - INFO - Epoch(train) [168][3620/3757] lr: 1.2815e-04 eta: 5:13:39 time: 0.4234 data_time: 0.0238 memory: 17006 grad_norm: 12.2088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2351 loss: 1.2351 2022/07/30 13:24:53 - mmengine - INFO - Epoch(train) [168][3640/3757] lr: 1.2815e-04 eta: 5:13:30 time: 0.4057 data_time: 0.0201 memory: 17006 grad_norm: 12.3041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2307 loss: 1.2307 2022/07/30 13:25:01 - mmengine - INFO - Epoch(train) [168][3660/3757] lr: 1.2815e-04 eta: 5:13:22 time: 0.4056 data_time: 0.0208 memory: 17006 grad_norm: 12.5111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2792 loss: 1.2792 2022/07/30 13:25:10 - mmengine - INFO - Epoch(train) [168][3680/3757] lr: 1.2815e-04 eta: 5:13:14 time: 0.4286 data_time: 0.0219 memory: 17006 grad_norm: 12.8116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0540 loss: 1.0540 2022/07/30 13:25:18 - mmengine - INFO - Epoch(train) [168][3700/3757] lr: 1.2815e-04 eta: 5:13:05 time: 0.4096 data_time: 0.0219 memory: 17006 grad_norm: 12.5171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/07/30 13:25:27 - mmengine - INFO - Epoch(train) [168][3720/3757] lr: 1.2815e-04 eta: 5:12:57 time: 0.4153 data_time: 0.0225 memory: 17006 grad_norm: 12.4429 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.0624 loss: 1.0624 2022/07/30 13:25:35 - mmengine - INFO - Epoch(train) [168][3740/3757] lr: 1.2815e-04 eta: 5:12:49 time: 0.4128 data_time: 0.0222 memory: 17006 grad_norm: 12.2404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/07/30 13:25:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:25:42 - mmengine - INFO - Epoch(train) [168][3757/3757] lr: 1.2815e-04 eta: 5:12:49 time: 0.3959 data_time: 0.0195 memory: 17006 grad_norm: 12.1820 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0539 loss: 1.0539 2022/07/30 13:25:42 - mmengine - INFO - Saving checkpoint at 168 epochs 2022/07/30 13:25:54 - mmengine - INFO - Epoch(train) [169][20/3757] lr: 1.0926e-04 eta: 5:12:32 time: 0.4544 data_time: 0.0670 memory: 17006 grad_norm: 11.9379 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1458 loss: 1.1458 2022/07/30 13:26:02 - mmengine - INFO - Epoch(train) [169][40/3757] lr: 1.0926e-04 eta: 5:12:24 time: 0.4069 data_time: 0.0225 memory: 17006 grad_norm: 12.4366 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3418 loss: 1.3418 2022/07/30 13:26:10 - mmengine - INFO - Epoch(train) [169][60/3757] lr: 1.0926e-04 eta: 5:12:15 time: 0.4168 data_time: 0.0203 memory: 17006 grad_norm: 11.8146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9464 loss: 0.9464 2022/07/30 13:26:19 - mmengine - INFO - Epoch(train) [169][80/3757] lr: 1.0926e-04 eta: 5:12:07 time: 0.4121 data_time: 0.0223 memory: 17006 grad_norm: 12.2127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4415 loss: 1.4415 2022/07/30 13:26:27 - mmengine - INFO - Epoch(train) [169][100/3757] lr: 1.0926e-04 eta: 5:11:58 time: 0.4098 data_time: 0.0216 memory: 17006 grad_norm: 12.0907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0448 loss: 1.0448 2022/07/30 13:26:35 - mmengine - INFO - Epoch(train) [169][120/3757] lr: 1.0926e-04 eta: 5:11:50 time: 0.4240 data_time: 0.0228 memory: 17006 grad_norm: 12.3712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9137 loss: 0.9137 2022/07/30 13:26:43 - mmengine - INFO - Epoch(train) [169][140/3757] lr: 1.0926e-04 eta: 5:11:42 time: 0.4069 data_time: 0.0212 memory: 17006 grad_norm: 12.5595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3674 loss: 1.3674 2022/07/30 13:26:52 - mmengine - INFO - Epoch(train) [169][160/3757] lr: 1.0926e-04 eta: 5:11:33 time: 0.4081 data_time: 0.0216 memory: 17006 grad_norm: 12.1224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2623 loss: 1.2623 2022/07/30 13:27:00 - mmengine - INFO - Epoch(train) [169][180/3757] lr: 1.0926e-04 eta: 5:11:25 time: 0.4237 data_time: 0.0214 memory: 17006 grad_norm: 12.0685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0957 loss: 1.0957 2022/07/30 13:27:08 - mmengine - INFO - Epoch(train) [169][200/3757] lr: 1.0926e-04 eta: 5:11:17 time: 0.4070 data_time: 0.0201 memory: 17006 grad_norm: 12.5024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/07/30 13:27:17 - mmengine - INFO - Epoch(train) [169][220/3757] lr: 1.0926e-04 eta: 5:11:09 time: 0.4266 data_time: 0.0224 memory: 17006 grad_norm: 12.5800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8245 loss: 0.8245 2022/07/30 13:27:25 - mmengine - INFO - Epoch(train) [169][240/3757] lr: 1.0926e-04 eta: 5:11:00 time: 0.4080 data_time: 0.0224 memory: 17006 grad_norm: 11.6746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0762 loss: 1.0762 2022/07/30 13:27:33 - mmengine - INFO - Epoch(train) [169][260/3757] lr: 1.0926e-04 eta: 5:10:52 time: 0.4210 data_time: 0.0227 memory: 17006 grad_norm: 12.6108 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2345 loss: 1.2345 2022/07/30 13:27:42 - mmengine - INFO - Epoch(train) [169][280/3757] lr: 1.0926e-04 eta: 5:10:44 time: 0.4073 data_time: 0.0211 memory: 17006 grad_norm: 12.0970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2785 loss: 1.2785 2022/07/30 13:27:50 - mmengine - INFO - Epoch(train) [169][300/3757] lr: 1.0926e-04 eta: 5:10:35 time: 0.4136 data_time: 0.0234 memory: 17006 grad_norm: 12.0251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1935 loss: 1.1935 2022/07/30 13:27:58 - mmengine - INFO - Epoch(train) [169][320/3757] lr: 1.0926e-04 eta: 5:10:27 time: 0.4060 data_time: 0.0210 memory: 17006 grad_norm: 11.1908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1512 loss: 1.1512 2022/07/30 13:28:07 - mmengine - INFO - Epoch(train) [169][340/3757] lr: 1.0926e-04 eta: 5:10:19 time: 0.4221 data_time: 0.0209 memory: 17006 grad_norm: 11.8734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0285 loss: 1.0285 2022/07/30 13:28:15 - mmengine - INFO - Epoch(train) [169][360/3757] lr: 1.0926e-04 eta: 5:10:10 time: 0.4092 data_time: 0.0217 memory: 17006 grad_norm: 12.2306 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1629 loss: 1.1629 2022/07/30 13:28:23 - mmengine - INFO - Epoch(train) [169][380/3757] lr: 1.0926e-04 eta: 5:10:02 time: 0.4328 data_time: 0.0222 memory: 17006 grad_norm: 11.8102 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1552 loss: 1.1552 2022/07/30 13:28:32 - mmengine - INFO - Epoch(train) [169][400/3757] lr: 1.0926e-04 eta: 5:09:54 time: 0.4077 data_time: 0.0218 memory: 17006 grad_norm: 12.1341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0017 loss: 1.0017 2022/07/30 13:28:40 - mmengine - INFO - Epoch(train) [169][420/3757] lr: 1.0926e-04 eta: 5:09:45 time: 0.4074 data_time: 0.0204 memory: 17006 grad_norm: 12.5844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2718 loss: 1.2718 2022/07/30 13:28:48 - mmengine - INFO - Epoch(train) [169][440/3757] lr: 1.0926e-04 eta: 5:09:37 time: 0.4247 data_time: 0.0228 memory: 17006 grad_norm: 12.2907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1172 loss: 1.1172 2022/07/30 13:28:57 - mmengine - INFO - Epoch(train) [169][460/3757] lr: 1.0926e-04 eta: 5:09:29 time: 0.4109 data_time: 0.0212 memory: 17006 grad_norm: 12.5343 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0464 loss: 1.0464 2022/07/30 13:29:05 - mmengine - INFO - Epoch(train) [169][480/3757] lr: 1.0926e-04 eta: 5:09:20 time: 0.4274 data_time: 0.0234 memory: 17006 grad_norm: 11.6981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9277 loss: 0.9277 2022/07/30 13:29:13 - mmengine - INFO - Epoch(train) [169][500/3757] lr: 1.0926e-04 eta: 5:09:12 time: 0.4060 data_time: 0.0210 memory: 17006 grad_norm: 11.7616 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0287 loss: 1.0287 2022/07/30 13:29:22 - mmengine - INFO - Epoch(train) [169][520/3757] lr: 1.0926e-04 eta: 5:09:04 time: 0.4069 data_time: 0.0207 memory: 17006 grad_norm: 12.4052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3246 loss: 1.3246 2022/07/30 13:29:30 - mmengine - INFO - Epoch(train) [169][540/3757] lr: 1.0926e-04 eta: 5:08:55 time: 0.4457 data_time: 0.0215 memory: 17006 grad_norm: 11.9027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8584 loss: 0.8584 2022/07/30 13:29:39 - mmengine - INFO - Epoch(train) [169][560/3757] lr: 1.0926e-04 eta: 5:08:47 time: 0.4080 data_time: 0.0211 memory: 17006 grad_norm: 11.8950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0365 loss: 1.0365 2022/07/30 13:29:47 - mmengine - INFO - Epoch(train) [169][580/3757] lr: 1.0926e-04 eta: 5:08:39 time: 0.4247 data_time: 0.0209 memory: 17006 grad_norm: 12.5563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1438 loss: 1.1438 2022/07/30 13:29:55 - mmengine - INFO - Epoch(train) [169][600/3757] lr: 1.0926e-04 eta: 5:08:30 time: 0.4082 data_time: 0.0222 memory: 17006 grad_norm: 11.9577 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1315 loss: 1.1315 2022/07/30 13:30:05 - mmengine - INFO - Epoch(train) [169][620/3757] lr: 1.0926e-04 eta: 5:08:22 time: 0.4601 data_time: 0.0229 memory: 17006 grad_norm: 11.8961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3376 loss: 1.3376 2022/07/30 13:30:13 - mmengine - INFO - Epoch(train) [169][640/3757] lr: 1.0926e-04 eta: 5:08:14 time: 0.4066 data_time: 0.0213 memory: 17006 grad_norm: 12.0626 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3240 loss: 1.3240 2022/07/30 13:30:21 - mmengine - INFO - Epoch(train) [169][660/3757] lr: 1.0926e-04 eta: 5:08:06 time: 0.4073 data_time: 0.0211 memory: 17006 grad_norm: 12.2357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/07/30 13:30:30 - mmengine - INFO - Epoch(train) [169][680/3757] lr: 1.0926e-04 eta: 5:07:57 time: 0.4374 data_time: 0.0236 memory: 17006 grad_norm: 11.6095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0025 loss: 1.0025 2022/07/30 13:30:38 - mmengine - INFO - Epoch(train) [169][700/3757] lr: 1.0926e-04 eta: 5:07:49 time: 0.4067 data_time: 0.0211 memory: 17006 grad_norm: 12.0160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9851 loss: 0.9851 2022/07/30 13:30:47 - mmengine - INFO - Epoch(train) [169][720/3757] lr: 1.0926e-04 eta: 5:07:41 time: 0.4378 data_time: 0.0225 memory: 17006 grad_norm: 12.4180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0172 loss: 1.0172 2022/07/30 13:30:55 - mmengine - INFO - Epoch(train) [169][740/3757] lr: 1.0926e-04 eta: 5:07:32 time: 0.4080 data_time: 0.0219 memory: 17006 grad_norm: 11.6327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1154 loss: 1.1154 2022/07/30 13:31:03 - mmengine - INFO - Epoch(train) [169][760/3757] lr: 1.0926e-04 eta: 5:07:24 time: 0.4182 data_time: 0.0210 memory: 17006 grad_norm: 12.1559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0981 loss: 1.0981 2022/07/30 13:31:11 - mmengine - INFO - Epoch(train) [169][780/3757] lr: 1.0926e-04 eta: 5:07:16 time: 0.4070 data_time: 0.0197 memory: 17006 grad_norm: 12.5629 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2486 loss: 1.2486 2022/07/30 13:31:20 - mmengine - INFO - Epoch(train) [169][800/3757] lr: 1.0926e-04 eta: 5:07:07 time: 0.4126 data_time: 0.0213 memory: 17006 grad_norm: 11.7647 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8370 loss: 0.8370 2022/07/30 13:31:28 - mmengine - INFO - Epoch(train) [169][820/3757] lr: 1.0926e-04 eta: 5:06:59 time: 0.4131 data_time: 0.0221 memory: 17006 grad_norm: 12.1861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2322 loss: 1.2322 2022/07/30 13:31:30 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:31:36 - mmengine - INFO - Epoch(train) [169][840/3757] lr: 1.0926e-04 eta: 5:06:51 time: 0.4179 data_time: 0.0224 memory: 17006 grad_norm: 12.4393 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1910 loss: 1.1910 2022/07/30 13:31:45 - mmengine - INFO - Epoch(train) [169][860/3757] lr: 1.0926e-04 eta: 5:06:42 time: 0.4149 data_time: 0.0220 memory: 17006 grad_norm: 12.0937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1558 loss: 1.1558 2022/07/30 13:31:53 - mmengine - INFO - Epoch(train) [169][880/3757] lr: 1.0926e-04 eta: 5:06:34 time: 0.4070 data_time: 0.0211 memory: 17006 grad_norm: 12.4656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1211 loss: 1.1211 2022/07/30 13:32:01 - mmengine - INFO - Epoch(train) [169][900/3757] lr: 1.0926e-04 eta: 5:06:26 time: 0.4057 data_time: 0.0201 memory: 17006 grad_norm: 12.3702 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2432 loss: 1.2432 2022/07/30 13:32:09 - mmengine - INFO - Epoch(train) [169][920/3757] lr: 1.0926e-04 eta: 5:06:17 time: 0.4194 data_time: 0.0208 memory: 17006 grad_norm: 12.3589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2327 loss: 1.2327 2022/07/30 13:32:18 - mmengine - INFO - Epoch(train) [169][940/3757] lr: 1.0926e-04 eta: 5:06:09 time: 0.4083 data_time: 0.0203 memory: 17006 grad_norm: 11.7975 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1378 loss: 1.1378 2022/07/30 13:32:26 - mmengine - INFO - Epoch(train) [169][960/3757] lr: 1.0926e-04 eta: 5:06:01 time: 0.4197 data_time: 0.0226 memory: 17006 grad_norm: 12.2927 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1209 loss: 1.1209 2022/07/30 13:32:34 - mmengine - INFO - Epoch(train) [169][980/3757] lr: 1.0926e-04 eta: 5:05:52 time: 0.4070 data_time: 0.0208 memory: 17006 grad_norm: 11.8168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9730 loss: 0.9730 2022/07/30 13:32:42 - mmengine - INFO - Epoch(train) [169][1000/3757] lr: 1.0926e-04 eta: 5:05:44 time: 0.4061 data_time: 0.0203 memory: 17006 grad_norm: 11.5869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9777 loss: 0.9777 2022/07/30 13:32:51 - mmengine - INFO - Epoch(train) [169][1020/3757] lr: 1.0926e-04 eta: 5:05:36 time: 0.4267 data_time: 0.0220 memory: 17006 grad_norm: 12.6650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2600 loss: 1.2600 2022/07/30 13:32:59 - mmengine - INFO - Epoch(train) [169][1040/3757] lr: 1.0926e-04 eta: 5:05:27 time: 0.4066 data_time: 0.0209 memory: 17006 grad_norm: 11.5647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1236 loss: 1.1236 2022/07/30 13:33:08 - mmengine - INFO - Epoch(train) [169][1060/3757] lr: 1.0926e-04 eta: 5:05:19 time: 0.4249 data_time: 0.0223 memory: 17006 grad_norm: 12.4324 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3983 loss: 1.3983 2022/07/30 13:33:16 - mmengine - INFO - Epoch(train) [169][1080/3757] lr: 1.0926e-04 eta: 5:05:11 time: 0.4109 data_time: 0.0231 memory: 17006 grad_norm: 11.9985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0579 loss: 1.0579 2022/07/30 13:33:24 - mmengine - INFO - Epoch(train) [169][1100/3757] lr: 1.0926e-04 eta: 5:05:02 time: 0.4232 data_time: 0.0221 memory: 17006 grad_norm: 12.9737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1618 loss: 1.1618 2022/07/30 13:33:33 - mmengine - INFO - Epoch(train) [169][1120/3757] lr: 1.0926e-04 eta: 5:04:54 time: 0.4075 data_time: 0.0225 memory: 17006 grad_norm: 11.9812 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2389 loss: 1.2389 2022/07/30 13:33:41 - mmengine - INFO - Epoch(train) [169][1140/3757] lr: 1.0926e-04 eta: 5:04:46 time: 0.4061 data_time: 0.0204 memory: 17006 grad_norm: 12.3107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3395 loss: 1.3395 2022/07/30 13:33:50 - mmengine - INFO - Epoch(train) [169][1160/3757] lr: 1.0926e-04 eta: 5:04:37 time: 0.4371 data_time: 0.0214 memory: 17006 grad_norm: 11.9977 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0268 loss: 1.0268 2022/07/30 13:33:58 - mmengine - INFO - Epoch(train) [169][1180/3757] lr: 1.0926e-04 eta: 5:04:29 time: 0.4106 data_time: 0.0214 memory: 17006 grad_norm: 12.0079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0699 loss: 1.0699 2022/07/30 13:34:06 - mmengine - INFO - Epoch(train) [169][1200/3757] lr: 1.0926e-04 eta: 5:04:21 time: 0.4262 data_time: 0.0295 memory: 17006 grad_norm: 12.5470 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0302 loss: 1.0302 2022/07/30 13:34:15 - mmengine - INFO - Epoch(train) [169][1220/3757] lr: 1.0926e-04 eta: 5:04:12 time: 0.4190 data_time: 0.0217 memory: 17006 grad_norm: 12.4962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1662 loss: 1.1662 2022/07/30 13:34:23 - mmengine - INFO - Epoch(train) [169][1240/3757] lr: 1.0926e-04 eta: 5:04:04 time: 0.4070 data_time: 0.0207 memory: 17006 grad_norm: 12.0161 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0433 loss: 1.0433 2022/07/30 13:34:31 - mmengine - INFO - Epoch(train) [169][1260/3757] lr: 1.0926e-04 eta: 5:03:56 time: 0.4171 data_time: 0.0222 memory: 17006 grad_norm: 12.7759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0426 loss: 1.0426 2022/07/30 13:34:40 - mmengine - INFO - Epoch(train) [169][1280/3757] lr: 1.0926e-04 eta: 5:03:47 time: 0.4127 data_time: 0.0221 memory: 17006 grad_norm: 12.2856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2400 loss: 1.2400 2022/07/30 13:34:48 - mmengine - INFO - Epoch(train) [169][1300/3757] lr: 1.0926e-04 eta: 5:03:39 time: 0.4231 data_time: 0.0240 memory: 17006 grad_norm: 12.1529 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/07/30 13:34:56 - mmengine - INFO - Epoch(train) [169][1320/3757] lr: 1.0926e-04 eta: 5:03:31 time: 0.4120 data_time: 0.0212 memory: 17006 grad_norm: 11.7006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2532 loss: 1.2532 2022/07/30 13:35:05 - mmengine - INFO - Epoch(train) [169][1340/3757] lr: 1.0926e-04 eta: 5:03:22 time: 0.4151 data_time: 0.0229 memory: 17006 grad_norm: 11.4030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1041 loss: 1.1041 2022/07/30 13:35:13 - mmengine - INFO - Epoch(train) [169][1360/3757] lr: 1.0926e-04 eta: 5:03:14 time: 0.4071 data_time: 0.0210 memory: 17006 grad_norm: 12.2622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2253 loss: 1.2253 2022/07/30 13:35:21 - mmengine - INFO - Epoch(train) [169][1380/3757] lr: 1.0926e-04 eta: 5:03:06 time: 0.4206 data_time: 0.0196 memory: 17006 grad_norm: 12.5502 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2296 loss: 1.2296 2022/07/30 13:35:30 - mmengine - INFO - Epoch(train) [169][1400/3757] lr: 1.0926e-04 eta: 5:02:57 time: 0.4130 data_time: 0.0218 memory: 17006 grad_norm: 12.6063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1384 loss: 1.1384 2022/07/30 13:35:38 - mmengine - INFO - Epoch(train) [169][1420/3757] lr: 1.0926e-04 eta: 5:02:49 time: 0.4102 data_time: 0.0225 memory: 17006 grad_norm: 12.2750 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0177 loss: 1.0177 2022/07/30 13:35:46 - mmengine - INFO - Epoch(train) [169][1440/3757] lr: 1.0926e-04 eta: 5:02:41 time: 0.4188 data_time: 0.0207 memory: 17006 grad_norm: 12.1855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9952 loss: 0.9952 2022/07/30 13:35:54 - mmengine - INFO - Epoch(train) [169][1460/3757] lr: 1.0926e-04 eta: 5:02:32 time: 0.4093 data_time: 0.0213 memory: 17006 grad_norm: 12.4829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2941 loss: 1.2941 2022/07/30 13:36:03 - mmengine - INFO - Epoch(train) [169][1480/3757] lr: 1.0926e-04 eta: 5:02:24 time: 0.4083 data_time: 0.0218 memory: 17006 grad_norm: 12.3713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1961 loss: 1.1961 2022/07/30 13:36:11 - mmengine - INFO - Epoch(train) [169][1500/3757] lr: 1.0926e-04 eta: 5:02:16 time: 0.4275 data_time: 0.0235 memory: 17006 grad_norm: 12.2591 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8881 loss: 0.8881 2022/07/30 13:36:19 - mmengine - INFO - Epoch(train) [169][1520/3757] lr: 1.0926e-04 eta: 5:02:08 time: 0.4105 data_time: 0.0213 memory: 17006 grad_norm: 12.1141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2157 loss: 1.2157 2022/07/30 13:36:28 - mmengine - INFO - Epoch(train) [169][1540/3757] lr: 1.0926e-04 eta: 5:01:59 time: 0.4145 data_time: 0.0217 memory: 17006 grad_norm: 12.0501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0515 loss: 1.0515 2022/07/30 13:36:36 - mmengine - INFO - Epoch(train) [169][1560/3757] lr: 1.0926e-04 eta: 5:01:51 time: 0.4105 data_time: 0.0229 memory: 17006 grad_norm: 11.5790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9070 loss: 0.9070 2022/07/30 13:36:44 - mmengine - INFO - Epoch(train) [169][1580/3757] lr: 1.0926e-04 eta: 5:01:43 time: 0.4185 data_time: 0.0231 memory: 17006 grad_norm: 12.4419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8673 loss: 0.8673 2022/07/30 13:36:53 - mmengine - INFO - Epoch(train) [169][1600/3757] lr: 1.0926e-04 eta: 5:01:34 time: 0.4071 data_time: 0.0217 memory: 17006 grad_norm: 12.7838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1021 loss: 1.1021 2022/07/30 13:37:01 - mmengine - INFO - Epoch(train) [169][1620/3757] lr: 1.0926e-04 eta: 5:01:26 time: 0.4047 data_time: 0.0199 memory: 17006 grad_norm: 11.9106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/07/30 13:37:09 - mmengine - INFO - Epoch(train) [169][1640/3757] lr: 1.0926e-04 eta: 5:01:18 time: 0.4362 data_time: 0.0241 memory: 17006 grad_norm: 11.8760 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4551 loss: 1.4551 2022/07/30 13:37:18 - mmengine - INFO - Epoch(train) [169][1660/3757] lr: 1.0926e-04 eta: 5:01:09 time: 0.4067 data_time: 0.0204 memory: 17006 grad_norm: 11.5891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9819 loss: 0.9819 2022/07/30 13:37:27 - mmengine - INFO - Epoch(train) [169][1680/3757] lr: 1.0926e-04 eta: 5:01:01 time: 0.4498 data_time: 0.0229 memory: 17006 grad_norm: 12.5795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3291 loss: 1.3291 2022/07/30 13:37:35 - mmengine - INFO - Epoch(train) [169][1700/3757] lr: 1.0926e-04 eta: 5:00:53 time: 0.4060 data_time: 0.0207 memory: 17006 grad_norm: 12.1468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0465 loss: 1.0465 2022/07/30 13:37:43 - mmengine - INFO - Epoch(train) [169][1720/3757] lr: 1.0926e-04 eta: 5:00:44 time: 0.4072 data_time: 0.0215 memory: 17006 grad_norm: 12.5145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1360 loss: 1.1360 2022/07/30 13:37:52 - mmengine - INFO - Epoch(train) [169][1740/3757] lr: 1.0926e-04 eta: 5:00:36 time: 0.4472 data_time: 0.0192 memory: 17006 grad_norm: 12.9819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1779 loss: 1.1779 2022/07/30 13:38:00 - mmengine - INFO - Epoch(train) [169][1760/3757] lr: 1.0926e-04 eta: 5:00:28 time: 0.4084 data_time: 0.0224 memory: 17006 grad_norm: 11.9217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/07/30 13:38:09 - mmengine - INFO - Epoch(train) [169][1780/3757] lr: 1.0926e-04 eta: 5:00:20 time: 0.4575 data_time: 0.0206 memory: 17006 grad_norm: 12.3908 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2823 loss: 1.2823 2022/07/30 13:38:18 - mmengine - INFO - Epoch(train) [169][1800/3757] lr: 1.0926e-04 eta: 5:00:11 time: 0.4089 data_time: 0.0228 memory: 17006 grad_norm: 12.2990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1888 loss: 1.1888 2022/07/30 13:38:26 - mmengine - INFO - Epoch(train) [169][1820/3757] lr: 1.0926e-04 eta: 5:00:03 time: 0.4254 data_time: 0.0223 memory: 17006 grad_norm: 12.4163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1685 loss: 1.1685 2022/07/30 13:38:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:38:34 - mmengine - INFO - Epoch(train) [169][1840/3757] lr: 1.0926e-04 eta: 4:59:55 time: 0.4081 data_time: 0.0224 memory: 17006 grad_norm: 12.3006 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2000 loss: 1.2000 2022/07/30 13:38:42 - mmengine - INFO - Epoch(train) [169][1860/3757] lr: 1.0926e-04 eta: 4:59:46 time: 0.4079 data_time: 0.0218 memory: 17006 grad_norm: 12.5200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9848 loss: 0.9848 2022/07/30 13:38:51 - mmengine - INFO - Epoch(train) [169][1880/3757] lr: 1.0926e-04 eta: 4:59:38 time: 0.4198 data_time: 0.0231 memory: 17006 grad_norm: 11.9646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1571 loss: 1.1571 2022/07/30 13:38:59 - mmengine - INFO - Epoch(train) [169][1900/3757] lr: 1.0926e-04 eta: 4:59:30 time: 0.4054 data_time: 0.0190 memory: 17006 grad_norm: 12.4507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1958 loss: 1.1958 2022/07/30 13:39:08 - mmengine - INFO - Epoch(train) [169][1920/3757] lr: 1.0926e-04 eta: 4:59:21 time: 0.4319 data_time: 0.0199 memory: 17006 grad_norm: 12.2368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3560 loss: 1.3560 2022/07/30 13:39:16 - mmengine - INFO - Epoch(train) [169][1940/3757] lr: 1.0926e-04 eta: 4:59:13 time: 0.4058 data_time: 0.0183 memory: 17006 grad_norm: 12.1782 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2242 loss: 1.2242 2022/07/30 13:39:24 - mmengine - INFO - Epoch(train) [169][1960/3757] lr: 1.0926e-04 eta: 4:59:05 time: 0.4146 data_time: 0.0220 memory: 17006 grad_norm: 12.2081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1308 loss: 1.1308 2022/07/30 13:39:32 - mmengine - INFO - Epoch(train) [169][1980/3757] lr: 1.0926e-04 eta: 4:58:56 time: 0.4063 data_time: 0.0200 memory: 17006 grad_norm: 12.0384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0746 loss: 1.0746 2022/07/30 13:39:41 - mmengine - INFO - Epoch(train) [169][2000/3757] lr: 1.0926e-04 eta: 4:58:48 time: 0.4081 data_time: 0.0219 memory: 17006 grad_norm: 12.4092 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3610 loss: 1.3610 2022/07/30 13:39:49 - mmengine - INFO - Epoch(train) [169][2020/3757] lr: 1.0926e-04 eta: 4:58:40 time: 0.4189 data_time: 0.0207 memory: 17006 grad_norm: 12.2260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1988 loss: 1.1988 2022/07/30 13:39:57 - mmengine - INFO - Epoch(train) [169][2040/3757] lr: 1.0926e-04 eta: 4:58:31 time: 0.4115 data_time: 0.0226 memory: 17006 grad_norm: 12.1162 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2813 loss: 1.2813 2022/07/30 13:40:06 - mmengine - INFO - Epoch(train) [169][2060/3757] lr: 1.0926e-04 eta: 4:58:23 time: 0.4177 data_time: 0.0204 memory: 17006 grad_norm: 12.3496 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1758 loss: 1.1758 2022/07/30 13:40:14 - mmengine - INFO - Epoch(train) [169][2080/3757] lr: 1.0926e-04 eta: 4:58:15 time: 0.4080 data_time: 0.0216 memory: 17006 grad_norm: 12.4100 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0473 loss: 1.0473 2022/07/30 13:40:22 - mmengine - INFO - Epoch(train) [169][2100/3757] lr: 1.0926e-04 eta: 4:58:06 time: 0.4120 data_time: 0.0201 memory: 17006 grad_norm: 12.4007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3038 loss: 1.3038 2022/07/30 13:40:30 - mmengine - INFO - Epoch(train) [169][2120/3757] lr: 1.0926e-04 eta: 4:57:58 time: 0.4209 data_time: 0.0236 memory: 17006 grad_norm: 11.5391 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9794 loss: 0.9794 2022/07/30 13:40:39 - mmengine - INFO - Epoch(train) [169][2140/3757] lr: 1.0926e-04 eta: 4:57:50 time: 0.4060 data_time: 0.0188 memory: 17006 grad_norm: 12.6055 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2396 loss: 1.2396 2022/07/30 13:40:47 - mmengine - INFO - Epoch(train) [169][2160/3757] lr: 1.0926e-04 eta: 4:57:41 time: 0.4212 data_time: 0.0238 memory: 17006 grad_norm: 11.9802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2532 loss: 1.2532 2022/07/30 13:40:55 - mmengine - INFO - Epoch(train) [169][2180/3757] lr: 1.0926e-04 eta: 4:57:33 time: 0.4108 data_time: 0.0202 memory: 17006 grad_norm: 12.0604 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8729 loss: 0.8729 2022/07/30 13:41:04 - mmengine - INFO - Epoch(train) [169][2200/3757] lr: 1.0926e-04 eta: 4:57:25 time: 0.4075 data_time: 0.0216 memory: 17006 grad_norm: 11.9081 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0577 loss: 1.0577 2022/07/30 13:41:12 - mmengine - INFO - Epoch(train) [169][2220/3757] lr: 1.0926e-04 eta: 4:57:16 time: 0.4196 data_time: 0.0212 memory: 17006 grad_norm: 11.7202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8958 loss: 0.8958 2022/07/30 13:41:20 - mmengine - INFO - Epoch(train) [169][2240/3757] lr: 1.0926e-04 eta: 4:57:08 time: 0.4161 data_time: 0.0210 memory: 17006 grad_norm: 11.8994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3134 loss: 1.3134 2022/07/30 13:41:29 - mmengine - INFO - Epoch(train) [169][2260/3757] lr: 1.0926e-04 eta: 4:57:00 time: 0.4190 data_time: 0.0227 memory: 17006 grad_norm: 12.4730 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1689 loss: 1.1689 2022/07/30 13:41:37 - mmengine - INFO - Epoch(train) [169][2280/3757] lr: 1.0926e-04 eta: 4:56:51 time: 0.4287 data_time: 0.0211 memory: 17006 grad_norm: 12.1649 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2091 loss: 1.2091 2022/07/30 13:41:46 - mmengine - INFO - Epoch(train) [169][2300/3757] lr: 1.0926e-04 eta: 4:56:43 time: 0.4142 data_time: 0.0220 memory: 17006 grad_norm: 12.6721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0653 loss: 1.0653 2022/07/30 13:41:54 - mmengine - INFO - Epoch(train) [169][2320/3757] lr: 1.0926e-04 eta: 4:56:35 time: 0.4074 data_time: 0.0210 memory: 17006 grad_norm: 12.0077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1597 loss: 1.1597 2022/07/30 13:42:02 - mmengine - INFO - Epoch(train) [169][2340/3757] lr: 1.0926e-04 eta: 4:56:26 time: 0.4073 data_time: 0.0196 memory: 17006 grad_norm: 11.8164 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0518 loss: 1.0518 2022/07/30 13:42:11 - mmengine - INFO - Epoch(train) [169][2360/3757] lr: 1.0926e-04 eta: 4:56:18 time: 0.4464 data_time: 0.0226 memory: 17006 grad_norm: 12.9503 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1554 loss: 1.1554 2022/07/30 13:42:20 - mmengine - INFO - Epoch(train) [169][2380/3757] lr: 1.0926e-04 eta: 4:56:10 time: 0.4280 data_time: 0.0198 memory: 17006 grad_norm: 12.0157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2391 loss: 1.2391 2022/07/30 13:42:28 - mmengine - INFO - Epoch(train) [169][2400/3757] lr: 1.0926e-04 eta: 4:56:02 time: 0.4216 data_time: 0.0234 memory: 17006 grad_norm: 12.6458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2912 loss: 1.2912 2022/07/30 13:42:36 - mmengine - INFO - Epoch(train) [169][2420/3757] lr: 1.0926e-04 eta: 4:55:53 time: 0.4073 data_time: 0.0211 memory: 17006 grad_norm: 12.0151 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0994 loss: 1.0994 2022/07/30 13:42:45 - mmengine - INFO - Epoch(train) [169][2440/3757] lr: 1.0926e-04 eta: 4:55:45 time: 0.4207 data_time: 0.0233 memory: 17006 grad_norm: 12.0845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2026 loss: 1.2026 2022/07/30 13:42:53 - mmengine - INFO - Epoch(train) [169][2460/3757] lr: 1.0926e-04 eta: 4:55:37 time: 0.4067 data_time: 0.0202 memory: 17006 grad_norm: 11.9343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2405 loss: 1.2405 2022/07/30 13:43:01 - mmengine - INFO - Epoch(train) [169][2480/3757] lr: 1.0926e-04 eta: 4:55:28 time: 0.4190 data_time: 0.0212 memory: 17006 grad_norm: 12.3378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/07/30 13:43:10 - mmengine - INFO - Epoch(train) [169][2500/3757] lr: 1.0926e-04 eta: 4:55:20 time: 0.4186 data_time: 0.0212 memory: 17006 grad_norm: 12.3343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8878 loss: 0.8878 2022/07/30 13:43:18 - mmengine - INFO - Epoch(train) [169][2520/3757] lr: 1.0926e-04 eta: 4:55:12 time: 0.4193 data_time: 0.0213 memory: 17006 grad_norm: 12.0238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9643 loss: 0.9643 2022/07/30 13:43:26 - mmengine - INFO - Epoch(train) [169][2540/3757] lr: 1.0926e-04 eta: 4:55:03 time: 0.4168 data_time: 0.0214 memory: 17006 grad_norm: 12.5007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0422 loss: 1.0422 2022/07/30 13:43:35 - mmengine - INFO - Epoch(train) [169][2560/3757] lr: 1.0926e-04 eta: 4:54:55 time: 0.4075 data_time: 0.0216 memory: 17006 grad_norm: 11.8921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2740 loss: 1.2740 2022/07/30 13:43:43 - mmengine - INFO - Epoch(train) [169][2580/3757] lr: 1.0926e-04 eta: 4:54:47 time: 0.4079 data_time: 0.0205 memory: 17006 grad_norm: 12.8857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2340 loss: 1.2340 2022/07/30 13:43:51 - mmengine - INFO - Epoch(train) [169][2600/3757] lr: 1.0926e-04 eta: 4:54:38 time: 0.4269 data_time: 0.0225 memory: 17006 grad_norm: 12.0822 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9507 loss: 0.9507 2022/07/30 13:44:00 - mmengine - INFO - Epoch(train) [169][2620/3757] lr: 1.0926e-04 eta: 4:54:30 time: 0.4072 data_time: 0.0204 memory: 17006 grad_norm: 12.3224 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6079 loss: 1.6079 2022/07/30 13:44:08 - mmengine - INFO - Epoch(train) [169][2640/3757] lr: 1.0926e-04 eta: 4:54:22 time: 0.4343 data_time: 0.0226 memory: 17006 grad_norm: 12.6333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0498 loss: 1.0498 2022/07/30 13:44:16 - mmengine - INFO - Epoch(train) [169][2660/3757] lr: 1.0926e-04 eta: 4:54:13 time: 0.4107 data_time: 0.0189 memory: 17006 grad_norm: 12.1799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4290 loss: 1.4290 2022/07/30 13:44:25 - mmengine - INFO - Epoch(train) [169][2680/3757] lr: 1.0926e-04 eta: 4:54:05 time: 0.4203 data_time: 0.0223 memory: 17006 grad_norm: 12.1703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0424 loss: 1.0424 2022/07/30 13:44:33 - mmengine - INFO - Epoch(train) [169][2700/3757] lr: 1.0926e-04 eta: 4:53:57 time: 0.4057 data_time: 0.0201 memory: 17006 grad_norm: 12.3448 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0064 loss: 1.0064 2022/07/30 13:44:41 - mmengine - INFO - Epoch(train) [169][2720/3757] lr: 1.0926e-04 eta: 4:53:48 time: 0.4091 data_time: 0.0215 memory: 17006 grad_norm: 12.1471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2203 loss: 1.2203 2022/07/30 13:44:50 - mmengine - INFO - Epoch(train) [169][2740/3757] lr: 1.0926e-04 eta: 4:53:40 time: 0.4355 data_time: 0.0231 memory: 17006 grad_norm: 12.6582 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2705 loss: 1.2705 2022/07/30 13:44:58 - mmengine - INFO - Epoch(train) [169][2760/3757] lr: 1.0926e-04 eta: 4:53:32 time: 0.4074 data_time: 0.0228 memory: 17006 grad_norm: 11.7650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3316 loss: 1.3316 2022/07/30 13:45:07 - mmengine - INFO - Epoch(train) [169][2780/3757] lr: 1.0926e-04 eta: 4:53:23 time: 0.4142 data_time: 0.0202 memory: 17006 grad_norm: 12.1252 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0690 loss: 1.0690 2022/07/30 13:45:15 - mmengine - INFO - Epoch(train) [169][2800/3757] lr: 1.0926e-04 eta: 4:53:15 time: 0.4086 data_time: 0.0211 memory: 17006 grad_norm: 12.2581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1832 loss: 1.1832 2022/07/30 13:45:23 - mmengine - INFO - Epoch(train) [169][2820/3757] lr: 1.0926e-04 eta: 4:53:07 time: 0.4071 data_time: 0.0202 memory: 17006 grad_norm: 12.0798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4314 loss: 1.4314 2022/07/30 13:45:25 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:45:32 - mmengine - INFO - Epoch(train) [169][2840/3757] lr: 1.0926e-04 eta: 4:52:58 time: 0.4410 data_time: 0.0234 memory: 17006 grad_norm: 12.2422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1118 loss: 1.1118 2022/07/30 13:45:40 - mmengine - INFO - Epoch(train) [169][2860/3757] lr: 1.0926e-04 eta: 4:52:50 time: 0.4081 data_time: 0.0211 memory: 17006 grad_norm: 12.7997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2454 loss: 1.2454 2022/07/30 13:45:48 - mmengine - INFO - Epoch(train) [169][2880/3757] lr: 1.0926e-04 eta: 4:52:42 time: 0.4133 data_time: 0.0218 memory: 17006 grad_norm: 12.0197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9301 loss: 0.9301 2022/07/30 13:45:56 - mmengine - INFO - Epoch(train) [169][2900/3757] lr: 1.0926e-04 eta: 4:52:33 time: 0.4089 data_time: 0.0207 memory: 17006 grad_norm: 11.9138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2136 loss: 1.2136 2022/07/30 13:46:05 - mmengine - INFO - Epoch(train) [169][2920/3757] lr: 1.0926e-04 eta: 4:52:25 time: 0.4163 data_time: 0.0211 memory: 17006 grad_norm: 12.5190 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0841 loss: 1.0841 2022/07/30 13:46:13 - mmengine - INFO - Epoch(train) [169][2940/3757] lr: 1.0926e-04 eta: 4:52:17 time: 0.4075 data_time: 0.0189 memory: 17006 grad_norm: 12.1720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9015 loss: 0.9015 2022/07/30 13:46:21 - mmengine - INFO - Epoch(train) [169][2960/3757] lr: 1.0926e-04 eta: 4:52:08 time: 0.4097 data_time: 0.0213 memory: 17006 grad_norm: 11.8199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2404 loss: 1.2404 2022/07/30 13:46:30 - mmengine - INFO - Epoch(train) [169][2980/3757] lr: 1.0926e-04 eta: 4:52:00 time: 0.4161 data_time: 0.0209 memory: 17006 grad_norm: 12.1903 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0330 loss: 1.0330 2022/07/30 13:46:38 - mmengine - INFO - Epoch(train) [169][3000/3757] lr: 1.0926e-04 eta: 4:51:52 time: 0.4070 data_time: 0.0222 memory: 17006 grad_norm: 12.4342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/07/30 13:46:46 - mmengine - INFO - Epoch(train) [169][3020/3757] lr: 1.0926e-04 eta: 4:51:43 time: 0.4192 data_time: 0.0205 memory: 17006 grad_norm: 11.6762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1036 loss: 1.1036 2022/07/30 13:46:54 - mmengine - INFO - Epoch(train) [169][3040/3757] lr: 1.0926e-04 eta: 4:51:35 time: 0.4088 data_time: 0.0224 memory: 17006 grad_norm: 11.8360 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0965 loss: 1.0965 2022/07/30 13:47:03 - mmengine - INFO - Epoch(train) [169][3060/3757] lr: 1.0926e-04 eta: 4:51:27 time: 0.4082 data_time: 0.0210 memory: 17006 grad_norm: 11.9373 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9722 loss: 0.9722 2022/07/30 13:47:11 - mmengine - INFO - Epoch(train) [169][3080/3757] lr: 1.0926e-04 eta: 4:51:18 time: 0.4198 data_time: 0.0231 memory: 17006 grad_norm: 12.1886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2261 loss: 1.2261 2022/07/30 13:47:19 - mmengine - INFO - Epoch(train) [169][3100/3757] lr: 1.0926e-04 eta: 4:51:10 time: 0.4089 data_time: 0.0195 memory: 17006 grad_norm: 12.1103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/07/30 13:47:28 - mmengine - INFO - Epoch(train) [169][3120/3757] lr: 1.0926e-04 eta: 4:51:02 time: 0.4154 data_time: 0.0216 memory: 17006 grad_norm: 11.9678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2365 loss: 1.2365 2022/07/30 13:47:36 - mmengine - INFO - Epoch(train) [169][3140/3757] lr: 1.0926e-04 eta: 4:50:53 time: 0.4092 data_time: 0.0212 memory: 17006 grad_norm: 12.3477 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1008 loss: 1.1008 2022/07/30 13:47:44 - mmengine - INFO - Epoch(train) [169][3160/3757] lr: 1.0926e-04 eta: 4:50:45 time: 0.4066 data_time: 0.0210 memory: 17006 grad_norm: 13.0013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9790 loss: 0.9790 2022/07/30 13:47:52 - mmengine - INFO - Epoch(train) [169][3180/3757] lr: 1.0926e-04 eta: 4:50:37 time: 0.4106 data_time: 0.0211 memory: 17006 grad_norm: 12.2291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2040 loss: 1.2040 2022/07/30 13:48:00 - mmengine - INFO - Epoch(train) [169][3200/3757] lr: 1.0926e-04 eta: 4:50:28 time: 0.4097 data_time: 0.0221 memory: 17006 grad_norm: 12.1269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9271 loss: 0.9271 2022/07/30 13:48:09 - mmengine - INFO - Epoch(train) [169][3220/3757] lr: 1.0926e-04 eta: 4:50:20 time: 0.4159 data_time: 0.0227 memory: 17006 grad_norm: 12.0179 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0506 loss: 1.0506 2022/07/30 13:48:17 - mmengine - INFO - Epoch(train) [169][3240/3757] lr: 1.0926e-04 eta: 4:50:12 time: 0.4105 data_time: 0.0223 memory: 17006 grad_norm: 11.4862 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2699 loss: 1.2699 2022/07/30 13:48:25 - mmengine - INFO - Epoch(train) [169][3260/3757] lr: 1.0926e-04 eta: 4:50:03 time: 0.4084 data_time: 0.0204 memory: 17006 grad_norm: 12.1026 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4024 loss: 1.4024 2022/07/30 13:48:33 - mmengine - INFO - Epoch(train) [169][3280/3757] lr: 1.0926e-04 eta: 4:49:55 time: 0.4062 data_time: 0.0211 memory: 17006 grad_norm: 11.8766 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0262 loss: 1.0262 2022/07/30 13:48:42 - mmengine - INFO - Epoch(train) [169][3300/3757] lr: 1.0926e-04 eta: 4:49:47 time: 0.4127 data_time: 0.0213 memory: 17006 grad_norm: 12.4437 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3037 loss: 1.3037 2022/07/30 13:48:50 - mmengine - INFO - Epoch(train) [169][3320/3757] lr: 1.0926e-04 eta: 4:49:38 time: 0.4082 data_time: 0.0219 memory: 17006 grad_norm: 12.3317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/07/30 13:48:58 - mmengine - INFO - Epoch(train) [169][3340/3757] lr: 1.0926e-04 eta: 4:49:30 time: 0.4115 data_time: 0.0197 memory: 17006 grad_norm: 11.9845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0047 loss: 1.0047 2022/07/30 13:49:06 - mmengine - INFO - Epoch(train) [169][3360/3757] lr: 1.0926e-04 eta: 4:49:21 time: 0.4108 data_time: 0.0220 memory: 17006 grad_norm: 12.1822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0697 loss: 1.0697 2022/07/30 13:49:14 - mmengine - INFO - Epoch(train) [169][3380/3757] lr: 1.0926e-04 eta: 4:49:13 time: 0.4064 data_time: 0.0200 memory: 17006 grad_norm: 11.2205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8633 loss: 0.8633 2022/07/30 13:49:23 - mmengine - INFO - Epoch(train) [169][3400/3757] lr: 1.0926e-04 eta: 4:49:05 time: 0.4235 data_time: 0.0213 memory: 17006 grad_norm: 11.8131 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1701 loss: 1.1701 2022/07/30 13:49:31 - mmengine - INFO - Epoch(train) [169][3420/3757] lr: 1.0926e-04 eta: 4:48:56 time: 0.4081 data_time: 0.0204 memory: 17006 grad_norm: 11.9234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8255 loss: 0.8255 2022/07/30 13:49:39 - mmengine - INFO - Epoch(train) [169][3440/3757] lr: 1.0926e-04 eta: 4:48:48 time: 0.4078 data_time: 0.0221 memory: 17006 grad_norm: 12.5827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9713 loss: 0.9713 2022/07/30 13:49:48 - mmengine - INFO - Epoch(train) [169][3460/3757] lr: 1.0926e-04 eta: 4:48:40 time: 0.4076 data_time: 0.0205 memory: 17006 grad_norm: 11.9430 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1266 loss: 1.1266 2022/07/30 13:49:56 - mmengine - INFO - Epoch(train) [169][3480/3757] lr: 1.0926e-04 eta: 4:48:31 time: 0.4059 data_time: 0.0225 memory: 17006 grad_norm: 12.2502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2364 loss: 1.2364 2022/07/30 13:50:04 - mmengine - INFO - Epoch(train) [169][3500/3757] lr: 1.0926e-04 eta: 4:48:23 time: 0.4059 data_time: 0.0207 memory: 17006 grad_norm: 12.5937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0773 loss: 1.0773 2022/07/30 13:50:12 - mmengine - INFO - Epoch(train) [169][3520/3757] lr: 1.0926e-04 eta: 4:48:15 time: 0.4095 data_time: 0.0227 memory: 17006 grad_norm: 11.5068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1183 loss: 1.1183 2022/07/30 13:50:20 - mmengine - INFO - Epoch(train) [169][3540/3757] lr: 1.0926e-04 eta: 4:48:06 time: 0.4083 data_time: 0.0220 memory: 17006 grad_norm: 11.6240 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0350 loss: 1.0350 2022/07/30 13:50:28 - mmengine - INFO - Epoch(train) [169][3560/3757] lr: 1.0926e-04 eta: 4:47:58 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 12.5270 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1295 loss: 1.1295 2022/07/30 13:50:37 - mmengine - INFO - Epoch(train) [169][3580/3757] lr: 1.0926e-04 eta: 4:47:50 time: 0.4103 data_time: 0.0213 memory: 17006 grad_norm: 12.2775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1835 loss: 1.1835 2022/07/30 13:50:45 - mmengine - INFO - Epoch(train) [169][3600/3757] lr: 1.0926e-04 eta: 4:47:41 time: 0.4085 data_time: 0.0206 memory: 17006 grad_norm: 11.9018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9666 loss: 0.9666 2022/07/30 13:50:53 - mmengine - INFO - Epoch(train) [169][3620/3757] lr: 1.0926e-04 eta: 4:47:33 time: 0.4080 data_time: 0.0191 memory: 17006 grad_norm: 11.6152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2167 loss: 1.2167 2022/07/30 13:51:01 - mmengine - INFO - Epoch(train) [169][3640/3757] lr: 1.0926e-04 eta: 4:47:25 time: 0.4116 data_time: 0.0217 memory: 17006 grad_norm: 12.0496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2275 loss: 1.2275 2022/07/30 13:51:10 - mmengine - INFO - Epoch(train) [169][3660/3757] lr: 1.0926e-04 eta: 4:47:16 time: 0.4102 data_time: 0.0223 memory: 17006 grad_norm: 12.3948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1259 loss: 1.1259 2022/07/30 13:51:18 - mmengine - INFO - Epoch(train) [169][3680/3757] lr: 1.0926e-04 eta: 4:47:08 time: 0.4091 data_time: 0.0230 memory: 17006 grad_norm: 12.2476 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0796 loss: 1.0796 2022/07/30 13:51:26 - mmengine - INFO - Epoch(train) [169][3700/3757] lr: 1.0926e-04 eta: 4:47:00 time: 0.4095 data_time: 0.0195 memory: 17006 grad_norm: 12.6338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0580 loss: 1.0580 2022/07/30 13:51:34 - mmengine - INFO - Epoch(train) [169][3720/3757] lr: 1.0926e-04 eta: 4:46:51 time: 0.4074 data_time: 0.0216 memory: 17006 grad_norm: 12.3900 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0818 loss: 1.0818 2022/07/30 13:51:43 - mmengine - INFO - Epoch(train) [169][3740/3757] lr: 1.0926e-04 eta: 4:46:43 time: 0.4189 data_time: 0.0212 memory: 17006 grad_norm: 12.6318 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/07/30 13:51:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:51:49 - mmengine - INFO - Epoch(train) [169][3757/3757] lr: 1.0926e-04 eta: 4:46:43 time: 0.3990 data_time: 0.0211 memory: 17006 grad_norm: 12.5658 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0552 loss: 1.0552 2022/07/30 13:51:49 - mmengine - INFO - Saving checkpoint at 169 epochs 2022/07/30 13:52:03 - mmengine - INFO - Epoch(train) [170][20/3757] lr: 9.1864e-05 eta: 4:46:26 time: 0.4546 data_time: 0.0663 memory: 17006 grad_norm: 11.9478 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/07/30 13:52:12 - mmengine - INFO - Epoch(train) [170][40/3757] lr: 9.1864e-05 eta: 4:46:18 time: 0.4614 data_time: 0.0250 memory: 17006 grad_norm: 12.5541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3872 loss: 1.3872 2022/07/30 13:52:21 - mmengine - INFO - Epoch(train) [170][60/3757] lr: 9.1864e-05 eta: 4:46:10 time: 0.4070 data_time: 0.0214 memory: 17006 grad_norm: 12.2148 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2420 loss: 1.2420 2022/07/30 13:52:23 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:52:29 - mmengine - INFO - Epoch(train) [170][80/3757] lr: 9.1864e-05 eta: 4:46:01 time: 0.4204 data_time: 0.0234 memory: 17006 grad_norm: 12.0846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/07/30 13:52:37 - mmengine - INFO - Epoch(train) [170][100/3757] lr: 9.1864e-05 eta: 4:45:53 time: 0.4104 data_time: 0.0208 memory: 17006 grad_norm: 11.7066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1232 loss: 1.1232 2022/07/30 13:52:46 - mmengine - INFO - Epoch(train) [170][120/3757] lr: 9.1864e-05 eta: 4:45:45 time: 0.4327 data_time: 0.0251 memory: 17006 grad_norm: 12.2225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0467 loss: 1.0467 2022/07/30 13:52:54 - mmengine - INFO - Epoch(train) [170][140/3757] lr: 9.1864e-05 eta: 4:45:36 time: 0.4045 data_time: 0.0200 memory: 17006 grad_norm: 12.4996 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1304 loss: 1.1304 2022/07/30 13:53:02 - mmengine - INFO - Epoch(train) [170][160/3757] lr: 9.1864e-05 eta: 4:45:28 time: 0.4129 data_time: 0.0204 memory: 17006 grad_norm: 12.7349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3424 loss: 1.3424 2022/07/30 13:53:11 - mmengine - INFO - Epoch(train) [170][180/3757] lr: 9.1864e-05 eta: 4:45:20 time: 0.4158 data_time: 0.0224 memory: 17006 grad_norm: 12.5122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8614 loss: 0.8614 2022/07/30 13:53:19 - mmengine - INFO - Epoch(train) [170][200/3757] lr: 9.1864e-05 eta: 4:45:11 time: 0.4092 data_time: 0.0215 memory: 17006 grad_norm: 12.1442 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0430 loss: 1.0430 2022/07/30 13:53:27 - mmengine - INFO - Epoch(train) [170][220/3757] lr: 9.1864e-05 eta: 4:45:03 time: 0.4205 data_time: 0.0218 memory: 17006 grad_norm: 11.9389 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9217 loss: 0.9217 2022/07/30 13:53:36 - mmengine - INFO - Epoch(train) [170][240/3757] lr: 9.1864e-05 eta: 4:44:55 time: 0.4104 data_time: 0.0222 memory: 17006 grad_norm: 12.4883 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1320 loss: 1.1320 2022/07/30 13:53:44 - mmengine - INFO - Epoch(train) [170][260/3757] lr: 9.1864e-05 eta: 4:44:46 time: 0.4080 data_time: 0.0207 memory: 17006 grad_norm: 11.7196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3595 loss: 1.3595 2022/07/30 13:53:53 - mmengine - INFO - Epoch(train) [170][280/3757] lr: 9.1864e-05 eta: 4:44:38 time: 0.4363 data_time: 0.0233 memory: 17006 grad_norm: 12.4050 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0827 loss: 1.0827 2022/07/30 13:54:01 - mmengine - INFO - Epoch(train) [170][300/3757] lr: 9.1864e-05 eta: 4:44:30 time: 0.4104 data_time: 0.0210 memory: 17006 grad_norm: 12.1391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1870 loss: 1.1870 2022/07/30 13:54:09 - mmengine - INFO - Epoch(train) [170][320/3757] lr: 9.1864e-05 eta: 4:44:21 time: 0.4225 data_time: 0.0222 memory: 17006 grad_norm: 12.0769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0341 loss: 1.0341 2022/07/30 13:54:17 - mmengine - INFO - Epoch(train) [170][340/3757] lr: 9.1864e-05 eta: 4:44:13 time: 0.4096 data_time: 0.0204 memory: 17006 grad_norm: 12.1233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2113 loss: 1.2113 2022/07/30 13:54:27 - mmengine - INFO - Epoch(train) [170][360/3757] lr: 9.1864e-05 eta: 4:44:05 time: 0.4538 data_time: 0.0240 memory: 17006 grad_norm: 12.7214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2072 loss: 1.2072 2022/07/30 13:54:35 - mmengine - INFO - Epoch(train) [170][380/3757] lr: 9.1864e-05 eta: 4:43:57 time: 0.4071 data_time: 0.0213 memory: 17006 grad_norm: 11.9071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2696 loss: 1.2696 2022/07/30 13:54:43 - mmengine - INFO - Epoch(train) [170][400/3757] lr: 9.1864e-05 eta: 4:43:48 time: 0.4068 data_time: 0.0209 memory: 17006 grad_norm: 12.1825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2837 loss: 1.2837 2022/07/30 13:54:52 - mmengine - INFO - Epoch(train) [170][420/3757] lr: 9.1864e-05 eta: 4:43:40 time: 0.4574 data_time: 0.0241 memory: 17006 grad_norm: 11.6137 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/07/30 13:55:00 - mmengine - INFO - Epoch(train) [170][440/3757] lr: 9.1864e-05 eta: 4:43:32 time: 0.4082 data_time: 0.0217 memory: 17006 grad_norm: 12.6084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2376 loss: 1.2376 2022/07/30 13:55:09 - mmengine - INFO - Epoch(train) [170][460/3757] lr: 9.1864e-05 eta: 4:43:24 time: 0.4511 data_time: 0.0254 memory: 17006 grad_norm: 11.6756 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1801 loss: 1.1801 2022/07/30 13:55:18 - mmengine - INFO - Epoch(train) [170][480/3757] lr: 9.1864e-05 eta: 4:43:15 time: 0.4090 data_time: 0.0211 memory: 17006 grad_norm: 12.1877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8571 loss: 0.8571 2022/07/30 13:55:26 - mmengine - INFO - Epoch(train) [170][500/3757] lr: 9.1864e-05 eta: 4:43:07 time: 0.4096 data_time: 0.0218 memory: 17006 grad_norm: 12.2364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2080 loss: 1.2080 2022/07/30 13:55:34 - mmengine - INFO - Epoch(train) [170][520/3757] lr: 9.1864e-05 eta: 4:42:59 time: 0.4062 data_time: 0.0208 memory: 17006 grad_norm: 11.9180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0146 loss: 1.0146 2022/07/30 13:55:42 - mmengine - INFO - Epoch(train) [170][540/3757] lr: 9.1864e-05 eta: 4:42:50 time: 0.4105 data_time: 0.0205 memory: 17006 grad_norm: 12.0096 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9169 loss: 0.9169 2022/07/30 13:55:50 - mmengine - INFO - Epoch(train) [170][560/3757] lr: 9.1864e-05 eta: 4:42:42 time: 0.4132 data_time: 0.0242 memory: 17006 grad_norm: 11.3846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2275 loss: 1.2275 2022/07/30 13:55:59 - mmengine - INFO - Epoch(train) [170][580/3757] lr: 9.1864e-05 eta: 4:42:34 time: 0.4192 data_time: 0.0212 memory: 17006 grad_norm: 11.7410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3239 loss: 1.3239 2022/07/30 13:56:08 - mmengine - INFO - Epoch(train) [170][600/3757] lr: 9.1864e-05 eta: 4:42:25 time: 0.4587 data_time: 0.0667 memory: 17006 grad_norm: 12.2966 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1694 loss: 1.1694 2022/07/30 13:56:16 - mmengine - INFO - Epoch(train) [170][620/3757] lr: 9.1864e-05 eta: 4:42:17 time: 0.4066 data_time: 0.0205 memory: 17006 grad_norm: 12.1673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1543 loss: 1.1543 2022/07/30 13:56:24 - mmengine - INFO - Epoch(train) [170][640/3757] lr: 9.1864e-05 eta: 4:42:09 time: 0.4089 data_time: 0.0227 memory: 17006 grad_norm: 11.6367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7702 loss: 0.7702 2022/07/30 13:56:33 - mmengine - INFO - Epoch(train) [170][660/3757] lr: 9.1864e-05 eta: 4:42:00 time: 0.4471 data_time: 0.0206 memory: 17006 grad_norm: 12.2808 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0060 loss: 1.0060 2022/07/30 13:56:42 - mmengine - INFO - Epoch(train) [170][680/3757] lr: 9.1864e-05 eta: 4:41:52 time: 0.4113 data_time: 0.0209 memory: 17006 grad_norm: 12.3477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9559 loss: 0.9559 2022/07/30 13:56:50 - mmengine - INFO - Epoch(train) [170][700/3757] lr: 9.1864e-05 eta: 4:41:44 time: 0.4253 data_time: 0.0235 memory: 17006 grad_norm: 11.5726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0960 loss: 1.0960 2022/07/30 13:56:58 - mmengine - INFO - Epoch(train) [170][720/3757] lr: 9.1864e-05 eta: 4:41:36 time: 0.4085 data_time: 0.0214 memory: 17006 grad_norm: 11.6756 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9762 loss: 0.9762 2022/07/30 13:57:07 - mmengine - INFO - Epoch(train) [170][740/3757] lr: 9.1864e-05 eta: 4:41:27 time: 0.4179 data_time: 0.0259 memory: 17006 grad_norm: 12.3466 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8737 loss: 0.8737 2022/07/30 13:57:15 - mmengine - INFO - Epoch(train) [170][760/3757] lr: 9.1864e-05 eta: 4:41:19 time: 0.4068 data_time: 0.0206 memory: 17006 grad_norm: 12.5139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1194 loss: 1.1194 2022/07/30 13:57:23 - mmengine - INFO - Epoch(train) [170][780/3757] lr: 9.1864e-05 eta: 4:41:10 time: 0.4089 data_time: 0.0210 memory: 17006 grad_norm: 11.7941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0021 loss: 1.0021 2022/07/30 13:57:32 - mmengine - INFO - Epoch(train) [170][800/3757] lr: 9.1864e-05 eta: 4:41:02 time: 0.4331 data_time: 0.0233 memory: 17006 grad_norm: 12.1169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9683 loss: 0.9683 2022/07/30 13:57:40 - mmengine - INFO - Epoch(train) [170][820/3757] lr: 9.1864e-05 eta: 4:40:54 time: 0.4113 data_time: 0.0204 memory: 17006 grad_norm: 12.5158 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/07/30 13:57:48 - mmengine - INFO - Epoch(train) [170][840/3757] lr: 9.1864e-05 eta: 4:40:46 time: 0.4114 data_time: 0.0238 memory: 17006 grad_norm: 12.5241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0715 loss: 1.0715 2022/07/30 13:57:57 - mmengine - INFO - Epoch(train) [170][860/3757] lr: 9.1864e-05 eta: 4:40:37 time: 0.4084 data_time: 0.0218 memory: 17006 grad_norm: 12.1253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2592 loss: 1.2592 2022/07/30 13:58:05 - mmengine - INFO - Epoch(train) [170][880/3757] lr: 9.1864e-05 eta: 4:40:29 time: 0.4054 data_time: 0.0204 memory: 17006 grad_norm: 11.6205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9947 loss: 0.9947 2022/07/30 13:58:13 - mmengine - INFO - Epoch(train) [170][900/3757] lr: 9.1864e-05 eta: 4:40:21 time: 0.4198 data_time: 0.0229 memory: 17006 grad_norm: 11.8566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2348 loss: 1.2348 2022/07/30 13:58:21 - mmengine - INFO - Epoch(train) [170][920/3757] lr: 9.1864e-05 eta: 4:40:12 time: 0.4134 data_time: 0.0213 memory: 17006 grad_norm: 12.3000 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/07/30 13:58:30 - mmengine - INFO - Epoch(train) [170][940/3757] lr: 9.1864e-05 eta: 4:40:04 time: 0.4195 data_time: 0.0220 memory: 17006 grad_norm: 12.3568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3375 loss: 1.3375 2022/07/30 13:58:38 - mmengine - INFO - Epoch(train) [170][960/3757] lr: 9.1864e-05 eta: 4:39:56 time: 0.4151 data_time: 0.0215 memory: 17006 grad_norm: 12.2139 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0551 loss: 1.0551 2022/07/30 13:58:47 - mmengine - INFO - Epoch(train) [170][980/3757] lr: 9.1864e-05 eta: 4:39:47 time: 0.4165 data_time: 0.0228 memory: 17006 grad_norm: 12.1590 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0654 loss: 1.0654 2022/07/30 13:58:55 - mmengine - INFO - Epoch(train) [170][1000/3757] lr: 9.1864e-05 eta: 4:39:39 time: 0.4069 data_time: 0.0216 memory: 17006 grad_norm: 12.3663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0613 loss: 1.0613 2022/07/30 13:59:03 - mmengine - INFO - Epoch(train) [170][1020/3757] lr: 9.1864e-05 eta: 4:39:31 time: 0.4069 data_time: 0.0200 memory: 17006 grad_norm: 11.7577 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9592 loss: 0.9592 2022/07/30 13:59:11 - mmengine - INFO - Epoch(train) [170][1040/3757] lr: 9.1864e-05 eta: 4:39:22 time: 0.4221 data_time: 0.0227 memory: 17006 grad_norm: 11.9852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/07/30 13:59:20 - mmengine - INFO - Epoch(train) [170][1060/3757] lr: 9.1864e-05 eta: 4:39:14 time: 0.4061 data_time: 0.0210 memory: 17006 grad_norm: 12.1002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2360 loss: 1.2360 2022/07/30 13:59:22 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 13:59:29 - mmengine - INFO - Epoch(train) [170][1080/3757] lr: 9.1864e-05 eta: 4:39:06 time: 0.4557 data_time: 0.0216 memory: 17006 grad_norm: 11.7257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1230 loss: 1.1230 2022/07/30 13:59:37 - mmengine - INFO - Epoch(train) [170][1100/3757] lr: 9.1864e-05 eta: 4:38:57 time: 0.4085 data_time: 0.0222 memory: 17006 grad_norm: 11.2609 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0241 loss: 1.0241 2022/07/30 13:59:45 - mmengine - INFO - Epoch(train) [170][1120/3757] lr: 9.1864e-05 eta: 4:38:49 time: 0.4070 data_time: 0.0212 memory: 17006 grad_norm: 12.0140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1569 loss: 1.1569 2022/07/30 13:59:54 - mmengine - INFO - Epoch(train) [170][1140/3757] lr: 9.1864e-05 eta: 4:38:41 time: 0.4338 data_time: 0.0222 memory: 17006 grad_norm: 11.8213 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2068 loss: 1.2068 2022/07/30 14:00:02 - mmengine - INFO - Epoch(train) [170][1160/3757] lr: 9.1864e-05 eta: 4:38:32 time: 0.4095 data_time: 0.0226 memory: 17006 grad_norm: 12.4045 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9014 loss: 0.9014 2022/07/30 14:00:11 - mmengine - INFO - Epoch(train) [170][1180/3757] lr: 9.1864e-05 eta: 4:38:24 time: 0.4349 data_time: 0.0260 memory: 17006 grad_norm: 12.6746 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1548 loss: 1.1548 2022/07/30 14:00:19 - mmengine - INFO - Epoch(train) [170][1200/3757] lr: 9.1864e-05 eta: 4:38:16 time: 0.4085 data_time: 0.0217 memory: 17006 grad_norm: 12.5358 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1172 loss: 1.1172 2022/07/30 14:00:27 - mmengine - INFO - Epoch(train) [170][1220/3757] lr: 9.1864e-05 eta: 4:38:07 time: 0.4215 data_time: 0.0223 memory: 17006 grad_norm: 12.0984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0298 loss: 1.0298 2022/07/30 14:00:36 - mmengine - INFO - Epoch(train) [170][1240/3757] lr: 9.1864e-05 eta: 4:37:59 time: 0.4067 data_time: 0.0217 memory: 17006 grad_norm: 11.8592 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/07/30 14:00:44 - mmengine - INFO - Epoch(train) [170][1260/3757] lr: 9.1864e-05 eta: 4:37:51 time: 0.4075 data_time: 0.0212 memory: 17006 grad_norm: 12.2814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0478 loss: 1.0478 2022/07/30 14:00:52 - mmengine - INFO - Epoch(train) [170][1280/3757] lr: 9.1864e-05 eta: 4:37:43 time: 0.4344 data_time: 0.0227 memory: 17006 grad_norm: 11.8548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9716 loss: 0.9716 2022/07/30 14:01:01 - mmengine - INFO - Epoch(train) [170][1300/3757] lr: 9.1864e-05 eta: 4:37:34 time: 0.4087 data_time: 0.0216 memory: 17006 grad_norm: 12.1537 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2957 loss: 1.2957 2022/07/30 14:01:09 - mmengine - INFO - Epoch(train) [170][1320/3757] lr: 9.1864e-05 eta: 4:37:26 time: 0.4364 data_time: 0.0225 memory: 17006 grad_norm: 11.7562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1775 loss: 1.1775 2022/07/30 14:01:18 - mmengine - INFO - Epoch(train) [170][1340/3757] lr: 9.1864e-05 eta: 4:37:18 time: 0.4079 data_time: 0.0218 memory: 17006 grad_norm: 12.1349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0922 loss: 1.0922 2022/07/30 14:01:26 - mmengine - INFO - Epoch(train) [170][1360/3757] lr: 9.1864e-05 eta: 4:37:09 time: 0.4078 data_time: 0.0210 memory: 17006 grad_norm: 12.5652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1617 loss: 1.1617 2022/07/30 14:01:35 - mmengine - INFO - Epoch(train) [170][1380/3757] lr: 9.1864e-05 eta: 4:37:01 time: 0.4479 data_time: 0.0289 memory: 17006 grad_norm: 12.0102 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1002 loss: 1.1002 2022/07/30 14:01:43 - mmengine - INFO - Epoch(train) [170][1400/3757] lr: 9.1864e-05 eta: 4:36:53 time: 0.4057 data_time: 0.0213 memory: 17006 grad_norm: 12.5447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8899 loss: 0.8899 2022/07/30 14:01:52 - mmengine - INFO - Epoch(train) [170][1420/3757] lr: 9.1864e-05 eta: 4:36:44 time: 0.4369 data_time: 0.0227 memory: 17006 grad_norm: 12.2786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1196 loss: 1.1196 2022/07/30 14:02:00 - mmengine - INFO - Epoch(train) [170][1440/3757] lr: 9.1864e-05 eta: 4:36:36 time: 0.4076 data_time: 0.0222 memory: 17006 grad_norm: 12.2190 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3340 loss: 1.3340 2022/07/30 14:02:08 - mmengine - INFO - Epoch(train) [170][1460/3757] lr: 9.1864e-05 eta: 4:36:28 time: 0.4169 data_time: 0.0216 memory: 17006 grad_norm: 12.9882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0512 loss: 1.0512 2022/07/30 14:02:16 - mmengine - INFO - Epoch(train) [170][1480/3757] lr: 9.1864e-05 eta: 4:36:19 time: 0.4089 data_time: 0.0209 memory: 17006 grad_norm: 12.2301 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0213 loss: 1.0213 2022/07/30 14:02:25 - mmengine - INFO - Epoch(train) [170][1500/3757] lr: 9.1864e-05 eta: 4:36:11 time: 0.4064 data_time: 0.0206 memory: 17006 grad_norm: 12.2361 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1673 loss: 1.1673 2022/07/30 14:02:33 - mmengine - INFO - Epoch(train) [170][1520/3757] lr: 9.1864e-05 eta: 4:36:03 time: 0.4209 data_time: 0.0228 memory: 17006 grad_norm: 12.4537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1227 loss: 1.1227 2022/07/30 14:02:41 - mmengine - INFO - Epoch(train) [170][1540/3757] lr: 9.1864e-05 eta: 4:35:54 time: 0.4144 data_time: 0.0210 memory: 17006 grad_norm: 12.7689 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2127 loss: 1.2127 2022/07/30 14:02:50 - mmengine - INFO - Epoch(train) [170][1560/3757] lr: 9.1864e-05 eta: 4:35:46 time: 0.4305 data_time: 0.0232 memory: 17006 grad_norm: 11.9470 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0870 loss: 1.0870 2022/07/30 14:02:58 - mmengine - INFO - Epoch(train) [170][1580/3757] lr: 9.1864e-05 eta: 4:35:38 time: 0.4083 data_time: 0.0199 memory: 17006 grad_norm: 12.7776 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/07/30 14:03:07 - mmengine - INFO - Epoch(train) [170][1600/3757] lr: 9.1864e-05 eta: 4:35:29 time: 0.4154 data_time: 0.0228 memory: 17006 grad_norm: 12.4706 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1179 loss: 1.1179 2022/07/30 14:03:15 - mmengine - INFO - Epoch(train) [170][1620/3757] lr: 9.1864e-05 eta: 4:35:21 time: 0.4072 data_time: 0.0212 memory: 17006 grad_norm: 12.2205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1498 loss: 1.1498 2022/07/30 14:03:23 - mmengine - INFO - Epoch(train) [170][1640/3757] lr: 9.1864e-05 eta: 4:35:13 time: 0.4097 data_time: 0.0218 memory: 17006 grad_norm: 12.5939 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2901 loss: 1.2901 2022/07/30 14:03:32 - mmengine - INFO - Epoch(train) [170][1660/3757] lr: 9.1864e-05 eta: 4:35:04 time: 0.4255 data_time: 0.0223 memory: 17006 grad_norm: 12.4879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8631 loss: 0.8631 2022/07/30 14:03:40 - mmengine - INFO - Epoch(train) [170][1680/3757] lr: 9.1864e-05 eta: 4:34:56 time: 0.4280 data_time: 0.0211 memory: 17006 grad_norm: 12.2808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3111 loss: 1.3111 2022/07/30 14:03:48 - mmengine - INFO - Epoch(train) [170][1700/3757] lr: 9.1864e-05 eta: 4:34:48 time: 0.4138 data_time: 0.0228 memory: 17006 grad_norm: 12.4376 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/07/30 14:03:57 - mmengine - INFO - Epoch(train) [170][1720/3757] lr: 9.1864e-05 eta: 4:34:40 time: 0.4074 data_time: 0.0218 memory: 17006 grad_norm: 11.8303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1163 loss: 1.1163 2022/07/30 14:04:05 - mmengine - INFO - Epoch(train) [170][1740/3757] lr: 9.1864e-05 eta: 4:34:31 time: 0.4068 data_time: 0.0200 memory: 17006 grad_norm: 12.3406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1481 loss: 1.1481 2022/07/30 14:04:14 - mmengine - INFO - Epoch(train) [170][1760/3757] lr: 9.1864e-05 eta: 4:34:23 time: 0.4454 data_time: 0.0228 memory: 17006 grad_norm: 12.2552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/07/30 14:04:22 - mmengine - INFO - Epoch(train) [170][1780/3757] lr: 9.1864e-05 eta: 4:34:15 time: 0.4135 data_time: 0.0215 memory: 17006 grad_norm: 12.3601 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/07/30 14:04:30 - mmengine - INFO - Epoch(train) [170][1800/3757] lr: 9.1864e-05 eta: 4:34:06 time: 0.4181 data_time: 0.0224 memory: 17006 grad_norm: 12.2698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1102 loss: 1.1102 2022/07/30 14:04:39 - mmengine - INFO - Epoch(train) [170][1820/3757] lr: 9.1864e-05 eta: 4:33:58 time: 0.4087 data_time: 0.0216 memory: 17006 grad_norm: 11.9024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/07/30 14:04:47 - mmengine - INFO - Epoch(train) [170][1840/3757] lr: 9.1864e-05 eta: 4:33:50 time: 0.4232 data_time: 0.0212 memory: 17006 grad_norm: 12.5468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1729 loss: 1.1729 2022/07/30 14:04:55 - mmengine - INFO - Epoch(train) [170][1860/3757] lr: 9.1864e-05 eta: 4:33:41 time: 0.4078 data_time: 0.0213 memory: 17006 grad_norm: 12.2771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3452 loss: 1.3452 2022/07/30 14:05:03 - mmengine - INFO - Epoch(train) [170][1880/3757] lr: 9.1864e-05 eta: 4:33:33 time: 0.4088 data_time: 0.0207 memory: 17006 grad_norm: 11.7340 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0599 loss: 1.0599 2022/07/30 14:05:12 - mmengine - INFO - Epoch(train) [170][1900/3757] lr: 9.1864e-05 eta: 4:33:25 time: 0.4235 data_time: 0.0231 memory: 17006 grad_norm: 11.9882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0354 loss: 1.0354 2022/07/30 14:05:20 - mmengine - INFO - Epoch(train) [170][1920/3757] lr: 9.1864e-05 eta: 4:33:16 time: 0.4086 data_time: 0.0210 memory: 17006 grad_norm: 12.7109 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0230 loss: 1.0230 2022/07/30 14:05:28 - mmengine - INFO - Epoch(train) [170][1940/3757] lr: 9.1864e-05 eta: 4:33:08 time: 0.4123 data_time: 0.0221 memory: 17006 grad_norm: 12.6567 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1139 loss: 1.1139 2022/07/30 14:05:37 - mmengine - INFO - Epoch(train) [170][1960/3757] lr: 9.1864e-05 eta: 4:33:00 time: 0.4093 data_time: 0.0216 memory: 17006 grad_norm: 12.3654 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2932 loss: 1.2932 2022/07/30 14:05:45 - mmengine - INFO - Epoch(train) [170][1980/3757] lr: 9.1864e-05 eta: 4:32:51 time: 0.4060 data_time: 0.0205 memory: 17006 grad_norm: 12.3080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1160 loss: 1.1160 2022/07/30 14:05:53 - mmengine - INFO - Epoch(train) [170][2000/3757] lr: 9.1864e-05 eta: 4:32:43 time: 0.4209 data_time: 0.0221 memory: 17006 grad_norm: 12.1384 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1708 loss: 1.1708 2022/07/30 14:06:01 - mmengine - INFO - Epoch(train) [170][2020/3757] lr: 9.1864e-05 eta: 4:32:35 time: 0.4083 data_time: 0.0211 memory: 17006 grad_norm: 11.8708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0504 loss: 1.0504 2022/07/30 14:06:10 - mmengine - INFO - Epoch(train) [170][2040/3757] lr: 9.1864e-05 eta: 4:32:26 time: 0.4196 data_time: 0.0227 memory: 17006 grad_norm: 12.2991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1678 loss: 1.1678 2022/07/30 14:06:18 - mmengine - INFO - Epoch(train) [170][2060/3757] lr: 9.1864e-05 eta: 4:32:18 time: 0.4131 data_time: 0.0200 memory: 17006 grad_norm: 12.0841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7834 loss: 0.7834 2022/07/30 14:06:21 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:06:27 - mmengine - INFO - Epoch(train) [170][2080/3757] lr: 9.1864e-05 eta: 4:32:10 time: 0.4143 data_time: 0.0209 memory: 17006 grad_norm: 11.7213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9164 loss: 0.9164 2022/07/30 14:06:35 - mmengine - INFO - Epoch(train) [170][2100/3757] lr: 9.1864e-05 eta: 4:32:01 time: 0.4100 data_time: 0.0210 memory: 17006 grad_norm: 11.3134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2962 loss: 1.2962 2022/07/30 14:06:43 - mmengine - INFO - Epoch(train) [170][2120/3757] lr: 9.1864e-05 eta: 4:31:53 time: 0.4122 data_time: 0.0205 memory: 17006 grad_norm: 12.6702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/07/30 14:06:52 - mmengine - INFO - Epoch(train) [170][2140/3757] lr: 9.1864e-05 eta: 4:31:45 time: 0.4269 data_time: 0.0229 memory: 17006 grad_norm: 12.1564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0164 loss: 1.0164 2022/07/30 14:07:00 - mmengine - INFO - Epoch(train) [170][2160/3757] lr: 9.1864e-05 eta: 4:31:36 time: 0.4089 data_time: 0.0208 memory: 17006 grad_norm: 12.0440 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1652 loss: 1.1652 2022/07/30 14:07:08 - mmengine - INFO - Epoch(train) [170][2180/3757] lr: 9.1864e-05 eta: 4:31:28 time: 0.4326 data_time: 0.0223 memory: 17006 grad_norm: 12.6704 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1535 loss: 1.1535 2022/07/30 14:07:17 - mmengine - INFO - Epoch(train) [170][2200/3757] lr: 9.1864e-05 eta: 4:31:20 time: 0.4069 data_time: 0.0208 memory: 17006 grad_norm: 12.1856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8798 loss: 0.8798 2022/07/30 14:07:25 - mmengine - INFO - Epoch(train) [170][2220/3757] lr: 9.1864e-05 eta: 4:31:11 time: 0.4085 data_time: 0.0205 memory: 17006 grad_norm: 11.9928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9612 loss: 0.9612 2022/07/30 14:07:33 - mmengine - INFO - Epoch(train) [170][2240/3757] lr: 9.1864e-05 eta: 4:31:03 time: 0.4194 data_time: 0.0236 memory: 17006 grad_norm: 12.0969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3795 loss: 1.3795 2022/07/30 14:07:41 - mmengine - INFO - Epoch(train) [170][2260/3757] lr: 9.1864e-05 eta: 4:30:55 time: 0.4093 data_time: 0.0214 memory: 17006 grad_norm: 12.5745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/07/30 14:07:50 - mmengine - INFO - Epoch(train) [170][2280/3757] lr: 9.1864e-05 eta: 4:30:46 time: 0.4237 data_time: 0.0222 memory: 17006 grad_norm: 12.0565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1561 loss: 1.1561 2022/07/30 14:07:58 - mmengine - INFO - Epoch(train) [170][2300/3757] lr: 9.1864e-05 eta: 4:30:38 time: 0.4099 data_time: 0.0204 memory: 17006 grad_norm: 12.2421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1927 loss: 1.1927 2022/07/30 14:08:06 - mmengine - INFO - Epoch(train) [170][2320/3757] lr: 9.1864e-05 eta: 4:30:30 time: 0.4075 data_time: 0.0213 memory: 17006 grad_norm: 11.9848 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/07/30 14:08:15 - mmengine - INFO - Epoch(train) [170][2340/3757] lr: 9.1864e-05 eta: 4:30:21 time: 0.4243 data_time: 0.0306 memory: 17006 grad_norm: 12.4617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1704 loss: 1.1704 2022/07/30 14:08:23 - mmengine - INFO - Epoch(train) [170][2360/3757] lr: 9.1864e-05 eta: 4:30:13 time: 0.4068 data_time: 0.0200 memory: 17006 grad_norm: 12.2118 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1946 loss: 1.1946 2022/07/30 14:08:32 - mmengine - INFO - Epoch(train) [170][2380/3757] lr: 9.1864e-05 eta: 4:30:05 time: 0.4328 data_time: 0.0227 memory: 17006 grad_norm: 12.4229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0868 loss: 1.0868 2022/07/30 14:08:40 - mmengine - INFO - Epoch(train) [170][2400/3757] lr: 9.1864e-05 eta: 4:29:56 time: 0.4071 data_time: 0.0217 memory: 17006 grad_norm: 12.1620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/07/30 14:08:48 - mmengine - INFO - Epoch(train) [170][2420/3757] lr: 9.1864e-05 eta: 4:29:48 time: 0.4166 data_time: 0.0220 memory: 17006 grad_norm: 12.3641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1313 loss: 1.1313 2022/07/30 14:08:56 - mmengine - INFO - Epoch(train) [170][2440/3757] lr: 9.1864e-05 eta: 4:29:40 time: 0.4072 data_time: 0.0215 memory: 17006 grad_norm: 11.8333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9036 loss: 0.9036 2022/07/30 14:09:05 - mmengine - INFO - Epoch(train) [170][2460/3757] lr: 9.1864e-05 eta: 4:29:31 time: 0.4080 data_time: 0.0228 memory: 17006 grad_norm: 11.8285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9380 loss: 0.9380 2022/07/30 14:09:13 - mmengine - INFO - Epoch(train) [170][2480/3757] lr: 9.1864e-05 eta: 4:29:23 time: 0.4057 data_time: 0.0212 memory: 17006 grad_norm: 12.4857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1157 loss: 1.1157 2022/07/30 14:09:22 - mmengine - INFO - Epoch(train) [170][2500/3757] lr: 9.1864e-05 eta: 4:29:15 time: 0.4555 data_time: 0.0213 memory: 17006 grad_norm: 12.0646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9087 loss: 0.9087 2022/07/30 14:09:30 - mmengine - INFO - Epoch(train) [170][2520/3757] lr: 9.1864e-05 eta: 4:29:07 time: 0.4104 data_time: 0.0198 memory: 17006 grad_norm: 11.6602 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1606 loss: 1.1606 2022/07/30 14:09:39 - mmengine - INFO - Epoch(train) [170][2540/3757] lr: 9.1864e-05 eta: 4:28:58 time: 0.4514 data_time: 0.0223 memory: 17006 grad_norm: 12.0572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1527 loss: 1.1527 2022/07/30 14:09:47 - mmengine - INFO - Epoch(train) [170][2560/3757] lr: 9.1864e-05 eta: 4:28:50 time: 0.4097 data_time: 0.0216 memory: 17006 grad_norm: 11.8669 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0412 loss: 1.0412 2022/07/30 14:09:56 - mmengine - INFO - Epoch(train) [170][2580/3757] lr: 9.1864e-05 eta: 4:28:42 time: 0.4083 data_time: 0.0210 memory: 17006 grad_norm: 12.5252 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4179 loss: 1.4179 2022/07/30 14:10:04 - mmengine - INFO - Epoch(train) [170][2600/3757] lr: 9.1864e-05 eta: 4:28:33 time: 0.4129 data_time: 0.0204 memory: 17006 grad_norm: 13.0415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3332 loss: 1.3332 2022/07/30 14:10:12 - mmengine - INFO - Epoch(train) [170][2620/3757] lr: 9.1864e-05 eta: 4:28:25 time: 0.4236 data_time: 0.0221 memory: 17006 grad_norm: 12.6698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0524 loss: 1.0524 2022/07/30 14:10:21 - mmengine - INFO - Epoch(train) [170][2640/3757] lr: 9.1864e-05 eta: 4:28:17 time: 0.4120 data_time: 0.0218 memory: 17006 grad_norm: 12.4136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1247 loss: 1.1247 2022/07/30 14:10:29 - mmengine - INFO - Epoch(train) [170][2660/3757] lr: 9.1864e-05 eta: 4:28:08 time: 0.4113 data_time: 0.0207 memory: 17006 grad_norm: 12.5374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0665 loss: 1.0665 2022/07/30 14:10:37 - mmengine - INFO - Epoch(train) [170][2680/3757] lr: 9.1864e-05 eta: 4:28:00 time: 0.4085 data_time: 0.0211 memory: 17006 grad_norm: 12.3017 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/07/30 14:10:45 - mmengine - INFO - Epoch(train) [170][2700/3757] lr: 9.1864e-05 eta: 4:27:52 time: 0.4077 data_time: 0.0211 memory: 17006 grad_norm: 12.3382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/07/30 14:10:54 - mmengine - INFO - Epoch(train) [170][2720/3757] lr: 9.1864e-05 eta: 4:27:43 time: 0.4116 data_time: 0.0211 memory: 17006 grad_norm: 11.6375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1950 loss: 1.1950 2022/07/30 14:11:02 - mmengine - INFO - Epoch(train) [170][2740/3757] lr: 9.1864e-05 eta: 4:27:35 time: 0.4109 data_time: 0.0241 memory: 17006 grad_norm: 12.4177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2560 loss: 1.2560 2022/07/30 14:11:10 - mmengine - INFO - Epoch(train) [170][2760/3757] lr: 9.1864e-05 eta: 4:27:27 time: 0.4135 data_time: 0.0212 memory: 17006 grad_norm: 12.5745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2124 loss: 1.2124 2022/07/30 14:11:18 - mmengine - INFO - Epoch(train) [170][2780/3757] lr: 9.1864e-05 eta: 4:27:18 time: 0.4121 data_time: 0.0217 memory: 17006 grad_norm: 11.9812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9586 loss: 0.9586 2022/07/30 14:11:27 - mmengine - INFO - Epoch(train) [170][2800/3757] lr: 9.1864e-05 eta: 4:27:10 time: 0.4071 data_time: 0.0224 memory: 17006 grad_norm: 12.2612 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3426 loss: 1.3426 2022/07/30 14:11:35 - mmengine - INFO - Epoch(train) [170][2820/3757] lr: 9.1864e-05 eta: 4:27:02 time: 0.4074 data_time: 0.0216 memory: 17006 grad_norm: 12.1325 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8406 loss: 0.8406 2022/07/30 14:11:43 - mmengine - INFO - Epoch(train) [170][2840/3757] lr: 9.1864e-05 eta: 4:26:53 time: 0.4196 data_time: 0.0241 memory: 17006 grad_norm: 11.4359 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/07/30 14:11:51 - mmengine - INFO - Epoch(train) [170][2860/3757] lr: 9.1864e-05 eta: 4:26:45 time: 0.4069 data_time: 0.0207 memory: 17006 grad_norm: 11.9342 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9948 loss: 0.9948 2022/07/30 14:12:00 - mmengine - INFO - Epoch(train) [170][2880/3757] lr: 9.1864e-05 eta: 4:26:37 time: 0.4169 data_time: 0.0225 memory: 17006 grad_norm: 11.4864 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2968 loss: 1.2968 2022/07/30 14:12:08 - mmengine - INFO - Epoch(train) [170][2900/3757] lr: 9.1864e-05 eta: 4:26:28 time: 0.4078 data_time: 0.0213 memory: 17006 grad_norm: 12.0938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0677 loss: 1.0677 2022/07/30 14:12:16 - mmengine - INFO - Epoch(train) [170][2920/3757] lr: 9.1864e-05 eta: 4:26:20 time: 0.4070 data_time: 0.0218 memory: 17006 grad_norm: 13.0743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1929 loss: 1.1929 2022/07/30 14:12:25 - mmengine - INFO - Epoch(train) [170][2940/3757] lr: 9.1864e-05 eta: 4:26:12 time: 0.4162 data_time: 0.0230 memory: 17006 grad_norm: 11.6715 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0333 loss: 1.0333 2022/07/30 14:12:33 - mmengine - INFO - Epoch(train) [170][2960/3757] lr: 9.1864e-05 eta: 4:26:03 time: 0.4070 data_time: 0.0219 memory: 17006 grad_norm: 12.1318 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2892 loss: 1.2892 2022/07/30 14:12:41 - mmengine - INFO - Epoch(train) [170][2980/3757] lr: 9.1864e-05 eta: 4:25:55 time: 0.4157 data_time: 0.0210 memory: 17006 grad_norm: 11.9217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0109 loss: 1.0109 2022/07/30 14:12:49 - mmengine - INFO - Epoch(train) [170][3000/3757] lr: 9.1864e-05 eta: 4:25:47 time: 0.4155 data_time: 0.0237 memory: 17006 grad_norm: 12.0951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1127 loss: 1.1127 2022/07/30 14:12:58 - mmengine - INFO - Epoch(train) [170][3020/3757] lr: 9.1864e-05 eta: 4:25:38 time: 0.4103 data_time: 0.0205 memory: 17006 grad_norm: 12.4168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1775 loss: 1.1775 2022/07/30 14:13:06 - mmengine - INFO - Epoch(train) [170][3040/3757] lr: 9.1864e-05 eta: 4:25:30 time: 0.4072 data_time: 0.0212 memory: 17006 grad_norm: 12.1574 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8832 loss: 0.8832 2022/07/30 14:13:14 - mmengine - INFO - Epoch(train) [170][3060/3757] lr: 9.1864e-05 eta: 4:25:22 time: 0.4241 data_time: 0.0218 memory: 17006 grad_norm: 12.0297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7587 loss: 0.7587 2022/07/30 14:13:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:13:23 - mmengine - INFO - Epoch(train) [170][3080/3757] lr: 9.1864e-05 eta: 4:25:13 time: 0.4105 data_time: 0.0213 memory: 17006 grad_norm: 12.6371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0911 loss: 1.0911 2022/07/30 14:13:31 - mmengine - INFO - Epoch(train) [170][3100/3757] lr: 9.1864e-05 eta: 4:25:05 time: 0.4205 data_time: 0.0255 memory: 17006 grad_norm: 12.5014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0250 loss: 1.0250 2022/07/30 14:13:39 - mmengine - INFO - Epoch(train) [170][3120/3757] lr: 9.1864e-05 eta: 4:24:57 time: 0.4140 data_time: 0.0217 memory: 17006 grad_norm: 12.7308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2625 loss: 1.2625 2022/07/30 14:13:48 - mmengine - INFO - Epoch(train) [170][3140/3757] lr: 9.1864e-05 eta: 4:24:48 time: 0.4227 data_time: 0.0241 memory: 17006 grad_norm: 11.8250 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8826 loss: 0.8826 2022/07/30 14:13:56 - mmengine - INFO - Epoch(train) [170][3160/3757] lr: 9.1864e-05 eta: 4:24:40 time: 0.4074 data_time: 0.0211 memory: 17006 grad_norm: 12.6387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/07/30 14:14:04 - mmengine - INFO - Epoch(train) [170][3180/3757] lr: 9.1864e-05 eta: 4:24:32 time: 0.4101 data_time: 0.0215 memory: 17006 grad_norm: 12.3407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1833 loss: 1.1833 2022/07/30 14:14:13 - mmengine - INFO - Epoch(train) [170][3200/3757] lr: 9.1864e-05 eta: 4:24:23 time: 0.4249 data_time: 0.0295 memory: 17006 grad_norm: 12.1376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1803 loss: 1.1803 2022/07/30 14:14:21 - mmengine - INFO - Epoch(train) [170][3220/3757] lr: 9.1864e-05 eta: 4:24:15 time: 0.4073 data_time: 0.0213 memory: 17006 grad_norm: 12.4542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2782 loss: 1.2782 2022/07/30 14:14:30 - mmengine - INFO - Epoch(train) [170][3240/3757] lr: 9.1864e-05 eta: 4:24:07 time: 0.4303 data_time: 0.0246 memory: 17006 grad_norm: 11.7236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2807 loss: 1.2807 2022/07/30 14:14:38 - mmengine - INFO - Epoch(train) [170][3260/3757] lr: 9.1864e-05 eta: 4:23:58 time: 0.4166 data_time: 0.0204 memory: 17006 grad_norm: 11.8761 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0851 loss: 1.0851 2022/07/30 14:14:46 - mmengine - INFO - Epoch(train) [170][3280/3757] lr: 9.1864e-05 eta: 4:23:50 time: 0.4087 data_time: 0.0221 memory: 17006 grad_norm: 12.5827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1587 loss: 1.1587 2022/07/30 14:14:54 - mmengine - INFO - Epoch(train) [170][3300/3757] lr: 9.1864e-05 eta: 4:23:42 time: 0.4185 data_time: 0.0222 memory: 17006 grad_norm: 12.3819 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1552 loss: 1.1552 2022/07/30 14:15:03 - mmengine - INFO - Epoch(train) [170][3320/3757] lr: 9.1864e-05 eta: 4:23:33 time: 0.4113 data_time: 0.0216 memory: 17006 grad_norm: 12.0363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/07/30 14:15:11 - mmengine - INFO - Epoch(train) [170][3340/3757] lr: 9.1864e-05 eta: 4:23:25 time: 0.4172 data_time: 0.0220 memory: 17006 grad_norm: 12.5000 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5209 loss: 1.5209 2022/07/30 14:15:20 - mmengine - INFO - Epoch(train) [170][3360/3757] lr: 9.1864e-05 eta: 4:23:17 time: 0.4231 data_time: 0.0223 memory: 17006 grad_norm: 11.1557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9508 loss: 0.9508 2022/07/30 14:15:28 - mmengine - INFO - Epoch(train) [170][3380/3757] lr: 9.1864e-05 eta: 4:23:08 time: 0.4077 data_time: 0.0221 memory: 17006 grad_norm: 12.9780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4132 loss: 1.4132 2022/07/30 14:15:36 - mmengine - INFO - Epoch(train) [170][3400/3757] lr: 9.1864e-05 eta: 4:23:00 time: 0.4090 data_time: 0.0211 memory: 17006 grad_norm: 12.0643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0600 loss: 1.0600 2022/07/30 14:15:44 - mmengine - INFO - Epoch(train) [170][3420/3757] lr: 9.1864e-05 eta: 4:22:52 time: 0.4157 data_time: 0.0220 memory: 17006 grad_norm: 11.5842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1343 loss: 1.1343 2022/07/30 14:15:53 - mmengine - INFO - Epoch(train) [170][3440/3757] lr: 9.1864e-05 eta: 4:22:43 time: 0.4180 data_time: 0.0244 memory: 17006 grad_norm: 11.8815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0887 loss: 1.0887 2022/07/30 14:16:01 - mmengine - INFO - Epoch(train) [170][3460/3757] lr: 9.1864e-05 eta: 4:22:35 time: 0.4112 data_time: 0.0219 memory: 17006 grad_norm: 12.4158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0600 loss: 1.0600 2022/07/30 14:16:09 - mmengine - INFO - Epoch(train) [170][3480/3757] lr: 9.1864e-05 eta: 4:22:27 time: 0.4132 data_time: 0.0234 memory: 17006 grad_norm: 12.8045 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4661 loss: 1.4661 2022/07/30 14:16:18 - mmengine - INFO - Epoch(train) [170][3500/3757] lr: 9.1864e-05 eta: 4:22:18 time: 0.4080 data_time: 0.0212 memory: 17006 grad_norm: 12.0041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1273 loss: 1.1273 2022/07/30 14:16:26 - mmengine - INFO - Epoch(train) [170][3520/3757] lr: 9.1864e-05 eta: 4:22:10 time: 0.4058 data_time: 0.0208 memory: 17006 grad_norm: 12.1596 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2015 loss: 1.2015 2022/07/30 14:16:34 - mmengine - INFO - Epoch(train) [170][3540/3757] lr: 9.1864e-05 eta: 4:22:02 time: 0.4165 data_time: 0.0223 memory: 17006 grad_norm: 12.3747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1706 loss: 1.1706 2022/07/30 14:16:42 - mmengine - INFO - Epoch(train) [170][3560/3757] lr: 9.1864e-05 eta: 4:21:53 time: 0.4077 data_time: 0.0209 memory: 17006 grad_norm: 12.6000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4159 loss: 1.4159 2022/07/30 14:16:51 - mmengine - INFO - Epoch(train) [170][3580/3757] lr: 9.1864e-05 eta: 4:21:45 time: 0.4139 data_time: 0.0212 memory: 17006 grad_norm: 11.6792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3969 loss: 1.3969 2022/07/30 14:16:59 - mmengine - INFO - Epoch(train) [170][3600/3757] lr: 9.1864e-05 eta: 4:21:37 time: 0.4079 data_time: 0.0218 memory: 17006 grad_norm: 12.0402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0038 loss: 1.0038 2022/07/30 14:17:07 - mmengine - INFO - Epoch(train) [170][3620/3757] lr: 9.1864e-05 eta: 4:21:28 time: 0.4076 data_time: 0.0222 memory: 17006 grad_norm: 12.8437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0633 loss: 1.0633 2022/07/30 14:17:15 - mmengine - INFO - Epoch(train) [170][3640/3757] lr: 9.1864e-05 eta: 4:21:20 time: 0.4223 data_time: 0.0224 memory: 17006 grad_norm: 13.0579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5222 loss: 1.5222 2022/07/30 14:17:24 - mmengine - INFO - Epoch(train) [170][3660/3757] lr: 9.1864e-05 eta: 4:21:12 time: 0.4092 data_time: 0.0227 memory: 17006 grad_norm: 12.9414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2985 loss: 1.2985 2022/07/30 14:17:32 - mmengine - INFO - Epoch(train) [170][3680/3757] lr: 9.1864e-05 eta: 4:21:03 time: 0.4220 data_time: 0.0225 memory: 17006 grad_norm: 12.3558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9855 loss: 0.9855 2022/07/30 14:17:40 - mmengine - INFO - Epoch(train) [170][3700/3757] lr: 9.1864e-05 eta: 4:20:55 time: 0.4108 data_time: 0.0217 memory: 17006 grad_norm: 11.6113 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9281 loss: 0.9281 2022/07/30 14:17:49 - mmengine - INFO - Epoch(train) [170][3720/3757] lr: 9.1864e-05 eta: 4:20:47 time: 0.4251 data_time: 0.0212 memory: 17006 grad_norm: 12.2824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3017 loss: 1.3017 2022/07/30 14:17:57 - mmengine - INFO - Epoch(train) [170][3740/3757] lr: 9.1864e-05 eta: 4:20:38 time: 0.4075 data_time: 0.0213 memory: 17006 grad_norm: 12.1202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0739 loss: 1.0739 2022/07/30 14:18:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:18:04 - mmengine - INFO - Epoch(train) [170][3757/3757] lr: 9.1864e-05 eta: 4:20:38 time: 0.3977 data_time: 0.0194 memory: 17006 grad_norm: 12.0868 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.1610 loss: 1.1610 2022/07/30 14:18:04 - mmengine - INFO - Saving checkpoint at 170 epochs 2022/07/30 14:18:18 - mmengine - INFO - Epoch(train) [171][20/3757] lr: 7.5961e-05 eta: 4:20:22 time: 0.4741 data_time: 0.0851 memory: 17006 grad_norm: 12.5724 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1657 loss: 1.1657 2022/07/30 14:18:26 - mmengine - INFO - Epoch(train) [171][40/3757] lr: 7.5961e-05 eta: 4:20:14 time: 0.4076 data_time: 0.0222 memory: 17006 grad_norm: 12.3150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9107 loss: 0.9107 2022/07/30 14:18:34 - mmengine - INFO - Epoch(train) [171][60/3757] lr: 7.5961e-05 eta: 4:20:05 time: 0.4061 data_time: 0.0198 memory: 17006 grad_norm: 11.6355 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0758 loss: 1.0758 2022/07/30 14:18:42 - mmengine - INFO - Epoch(train) [171][80/3757] lr: 7.5961e-05 eta: 4:19:57 time: 0.4102 data_time: 0.0224 memory: 17006 grad_norm: 12.2573 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0221 loss: 1.0221 2022/07/30 14:18:50 - mmengine - INFO - Epoch(train) [171][100/3757] lr: 7.5961e-05 eta: 4:19:49 time: 0.4077 data_time: 0.0194 memory: 17006 grad_norm: 11.7836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9871 loss: 0.9871 2022/07/30 14:18:59 - mmengine - INFO - Epoch(train) [171][120/3757] lr: 7.5961e-05 eta: 4:19:40 time: 0.4092 data_time: 0.0211 memory: 17006 grad_norm: 12.2133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3452 loss: 1.3452 2022/07/30 14:19:07 - mmengine - INFO - Epoch(train) [171][140/3757] lr: 7.5961e-05 eta: 4:19:32 time: 0.4062 data_time: 0.0192 memory: 17006 grad_norm: 11.9340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9360 loss: 0.9360 2022/07/30 14:19:15 - mmengine - INFO - Epoch(train) [171][160/3757] lr: 7.5961e-05 eta: 4:19:23 time: 0.4129 data_time: 0.0218 memory: 17006 grad_norm: 11.9405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9954 loss: 0.9954 2022/07/30 14:19:24 - mmengine - INFO - Epoch(train) [171][180/3757] lr: 7.5961e-05 eta: 4:19:15 time: 0.4273 data_time: 0.0219 memory: 17006 grad_norm: 12.4029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/07/30 14:19:32 - mmengine - INFO - Epoch(train) [171][200/3757] lr: 7.5961e-05 eta: 4:19:07 time: 0.4171 data_time: 0.0234 memory: 17006 grad_norm: 12.2581 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9645 loss: 0.9645 2022/07/30 14:19:40 - mmengine - INFO - Epoch(train) [171][220/3757] lr: 7.5961e-05 eta: 4:18:59 time: 0.4078 data_time: 0.0185 memory: 17006 grad_norm: 11.6673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9203 loss: 0.9203 2022/07/30 14:19:49 - mmengine - INFO - Epoch(train) [171][240/3757] lr: 7.5961e-05 eta: 4:18:50 time: 0.4128 data_time: 0.0215 memory: 17006 grad_norm: 12.4379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9480 loss: 0.9480 2022/07/30 14:19:57 - mmengine - INFO - Epoch(train) [171][260/3757] lr: 7.5961e-05 eta: 4:18:42 time: 0.4070 data_time: 0.0185 memory: 17006 grad_norm: 11.8932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0111 loss: 1.0111 2022/07/30 14:20:05 - mmengine - INFO - Epoch(train) [171][280/3757] lr: 7.5961e-05 eta: 4:18:34 time: 0.4079 data_time: 0.0206 memory: 17006 grad_norm: 12.1520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1223 loss: 1.1223 2022/07/30 14:20:13 - mmengine - INFO - Epoch(train) [171][300/3757] lr: 7.5961e-05 eta: 4:18:25 time: 0.4170 data_time: 0.0195 memory: 17006 grad_norm: 12.7509 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0841 loss: 1.0841 2022/07/30 14:20:17 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:20:22 - mmengine - INFO - Epoch(train) [171][320/3757] lr: 7.5961e-05 eta: 4:18:17 time: 0.4115 data_time: 0.0234 memory: 17006 grad_norm: 11.6815 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3220 loss: 1.3220 2022/07/30 14:20:30 - mmengine - INFO - Epoch(train) [171][340/3757] lr: 7.5961e-05 eta: 4:18:08 time: 0.4060 data_time: 0.0189 memory: 17006 grad_norm: 12.1767 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/07/30 14:20:38 - mmengine - INFO - Epoch(train) [171][360/3757] lr: 7.5961e-05 eta: 4:18:00 time: 0.4098 data_time: 0.0230 memory: 17006 grad_norm: 12.5759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8839 loss: 0.8839 2022/07/30 14:20:46 - mmengine - INFO - Epoch(train) [171][380/3757] lr: 7.5961e-05 eta: 4:17:52 time: 0.4053 data_time: 0.0180 memory: 17006 grad_norm: 12.5025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9302 loss: 0.9302 2022/07/30 14:20:54 - mmengine - INFO - Epoch(train) [171][400/3757] lr: 7.5961e-05 eta: 4:17:43 time: 0.4057 data_time: 0.0203 memory: 17006 grad_norm: 12.1284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0734 loss: 1.0734 2022/07/30 14:21:02 - mmengine - INFO - Epoch(train) [171][420/3757] lr: 7.5961e-05 eta: 4:17:35 time: 0.4103 data_time: 0.0228 memory: 17006 grad_norm: 11.7091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/07/30 14:21:11 - mmengine - INFO - Epoch(train) [171][440/3757] lr: 7.5961e-05 eta: 4:17:27 time: 0.4081 data_time: 0.0217 memory: 17006 grad_norm: 12.3754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9600 loss: 0.9600 2022/07/30 14:21:19 - mmengine - INFO - Epoch(train) [171][460/3757] lr: 7.5961e-05 eta: 4:17:18 time: 0.4260 data_time: 0.0229 memory: 17006 grad_norm: 12.5747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2277 loss: 1.2277 2022/07/30 14:21:27 - mmengine - INFO - Epoch(train) [171][480/3757] lr: 7.5961e-05 eta: 4:17:10 time: 0.4064 data_time: 0.0217 memory: 17006 grad_norm: 12.1867 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1057 loss: 1.1057 2022/07/30 14:21:36 - mmengine - INFO - Epoch(train) [171][500/3757] lr: 7.5961e-05 eta: 4:17:02 time: 0.4076 data_time: 0.0207 memory: 17006 grad_norm: 11.9693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0310 loss: 1.0310 2022/07/30 14:21:44 - mmengine - INFO - Epoch(train) [171][520/3757] lr: 7.5961e-05 eta: 4:16:53 time: 0.4266 data_time: 0.0208 memory: 17006 grad_norm: 11.8873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0694 loss: 1.0694 2022/07/30 14:21:52 - mmengine - INFO - Epoch(train) [171][540/3757] lr: 7.5961e-05 eta: 4:16:45 time: 0.4070 data_time: 0.0199 memory: 17006 grad_norm: 11.6851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9557 loss: 0.9557 2022/07/30 14:22:01 - mmengine - INFO - Epoch(train) [171][560/3757] lr: 7.5961e-05 eta: 4:16:37 time: 0.4268 data_time: 0.0234 memory: 17006 grad_norm: 12.4691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2964 loss: 1.2964 2022/07/30 14:22:09 - mmengine - INFO - Epoch(train) [171][580/3757] lr: 7.5961e-05 eta: 4:16:28 time: 0.4071 data_time: 0.0209 memory: 17006 grad_norm: 12.1073 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1814 loss: 1.1814 2022/07/30 14:22:17 - mmengine - INFO - Epoch(train) [171][600/3757] lr: 7.5961e-05 eta: 4:16:20 time: 0.4087 data_time: 0.0223 memory: 17006 grad_norm: 12.4539 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0495 loss: 1.0495 2022/07/30 14:22:26 - mmengine - INFO - Epoch(train) [171][620/3757] lr: 7.5961e-05 eta: 4:16:12 time: 0.4211 data_time: 0.0194 memory: 17006 grad_norm: 12.5709 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0405 loss: 1.0405 2022/07/30 14:22:34 - mmengine - INFO - Epoch(train) [171][640/3757] lr: 7.5961e-05 eta: 4:16:03 time: 0.4093 data_time: 0.0216 memory: 17006 grad_norm: 12.3675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0213 loss: 1.0213 2022/07/30 14:22:42 - mmengine - INFO - Epoch(train) [171][660/3757] lr: 7.5961e-05 eta: 4:15:55 time: 0.4251 data_time: 0.0227 memory: 17006 grad_norm: 12.3358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2733 loss: 1.2733 2022/07/30 14:22:51 - mmengine - INFO - Epoch(train) [171][680/3757] lr: 7.5961e-05 eta: 4:15:47 time: 0.4095 data_time: 0.0218 memory: 17006 grad_norm: 12.2854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2793 loss: 1.2793 2022/07/30 14:23:00 - mmengine - INFO - Epoch(train) [171][700/3757] lr: 7.5961e-05 eta: 4:15:39 time: 0.4444 data_time: 0.0228 memory: 17006 grad_norm: 11.7809 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0313 loss: 1.0313 2022/07/30 14:23:08 - mmengine - INFO - Epoch(train) [171][720/3757] lr: 7.5961e-05 eta: 4:15:30 time: 0.4045 data_time: 0.0201 memory: 17006 grad_norm: 12.5558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/07/30 14:23:16 - mmengine - INFO - Epoch(train) [171][740/3757] lr: 7.5961e-05 eta: 4:15:22 time: 0.4091 data_time: 0.0216 memory: 17006 grad_norm: 12.3332 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2865 loss: 1.2865 2022/07/30 14:23:24 - mmengine - INFO - Epoch(train) [171][760/3757] lr: 7.5961e-05 eta: 4:15:14 time: 0.4269 data_time: 0.0230 memory: 17006 grad_norm: 12.0184 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0995 loss: 1.0995 2022/07/30 14:23:33 - mmengine - INFO - Epoch(train) [171][780/3757] lr: 7.5961e-05 eta: 4:15:05 time: 0.4096 data_time: 0.0209 memory: 17006 grad_norm: 12.3206 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2139 loss: 1.2139 2022/07/30 14:23:41 - mmengine - INFO - Epoch(train) [171][800/3757] lr: 7.5961e-05 eta: 4:14:57 time: 0.4224 data_time: 0.0225 memory: 17006 grad_norm: 12.2408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1809 loss: 1.1809 2022/07/30 14:23:50 - mmengine - INFO - Epoch(train) [171][820/3757] lr: 7.5961e-05 eta: 4:14:49 time: 0.4340 data_time: 0.0191 memory: 17006 grad_norm: 12.2714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1948 loss: 1.1948 2022/07/30 14:23:58 - mmengine - INFO - Epoch(train) [171][840/3757] lr: 7.5961e-05 eta: 4:14:40 time: 0.4107 data_time: 0.0214 memory: 17006 grad_norm: 11.6517 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2272 loss: 1.2272 2022/07/30 14:24:06 - mmengine - INFO - Epoch(train) [171][860/3757] lr: 7.5961e-05 eta: 4:14:32 time: 0.4091 data_time: 0.0198 memory: 17006 grad_norm: 12.1754 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1665 loss: 1.1665 2022/07/30 14:24:15 - mmengine - INFO - Epoch(train) [171][880/3757] lr: 7.5961e-05 eta: 4:14:24 time: 0.4234 data_time: 0.0228 memory: 17006 grad_norm: 11.5985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9412 loss: 0.9412 2022/07/30 14:24:23 - mmengine - INFO - Epoch(train) [171][900/3757] lr: 7.5961e-05 eta: 4:14:15 time: 0.4105 data_time: 0.0207 memory: 17006 grad_norm: 11.7254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1851 loss: 1.1851 2022/07/30 14:24:32 - mmengine - INFO - Epoch(train) [171][920/3757] lr: 7.5961e-05 eta: 4:14:07 time: 0.4285 data_time: 0.0240 memory: 17006 grad_norm: 11.6815 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2283 loss: 1.2283 2022/07/30 14:24:40 - mmengine - INFO - Epoch(train) [171][940/3757] lr: 7.5961e-05 eta: 4:13:59 time: 0.4110 data_time: 0.0198 memory: 17006 grad_norm: 12.2988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0897 loss: 1.0897 2022/07/30 14:24:48 - mmengine - INFO - Epoch(train) [171][960/3757] lr: 7.5961e-05 eta: 4:13:50 time: 0.4114 data_time: 0.0214 memory: 17006 grad_norm: 12.7270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1884 loss: 1.1884 2022/07/30 14:24:57 - mmengine - INFO - Epoch(train) [171][980/3757] lr: 7.5961e-05 eta: 4:13:42 time: 0.4144 data_time: 0.0192 memory: 17006 grad_norm: 13.2756 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1348 loss: 1.1348 2022/07/30 14:25:05 - mmengine - INFO - Epoch(train) [171][1000/3757] lr: 7.5961e-05 eta: 4:13:34 time: 0.4121 data_time: 0.0212 memory: 17006 grad_norm: 12.4243 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2664 loss: 1.2664 2022/07/30 14:25:13 - mmengine - INFO - Epoch(train) [171][1020/3757] lr: 7.5961e-05 eta: 4:13:25 time: 0.4110 data_time: 0.0182 memory: 17006 grad_norm: 11.9850 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0248 loss: 1.0248 2022/07/30 14:25:22 - mmengine - INFO - Epoch(train) [171][1040/3757] lr: 7.5961e-05 eta: 4:13:17 time: 0.4267 data_time: 0.0225 memory: 17006 grad_norm: 11.4729 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0601 loss: 1.0601 2022/07/30 14:25:30 - mmengine - INFO - Epoch(train) [171][1060/3757] lr: 7.5961e-05 eta: 4:13:09 time: 0.4421 data_time: 0.0253 memory: 17006 grad_norm: 13.0070 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0514 loss: 1.0514 2022/07/30 14:25:39 - mmengine - INFO - Epoch(train) [171][1080/3757] lr: 7.5961e-05 eta: 4:13:01 time: 0.4101 data_time: 0.0229 memory: 17006 grad_norm: 12.5659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2993 loss: 1.2993 2022/07/30 14:25:47 - mmengine - INFO - Epoch(train) [171][1100/3757] lr: 7.5961e-05 eta: 4:12:52 time: 0.4049 data_time: 0.0191 memory: 17006 grad_norm: 12.5720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3867 loss: 1.3867 2022/07/30 14:25:55 - mmengine - INFO - Epoch(train) [171][1120/3757] lr: 7.5961e-05 eta: 4:12:44 time: 0.4124 data_time: 0.0242 memory: 17006 grad_norm: 12.7600 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1161 loss: 1.1161 2022/07/30 14:26:03 - mmengine - INFO - Epoch(train) [171][1140/3757] lr: 7.5961e-05 eta: 4:12:36 time: 0.4077 data_time: 0.0195 memory: 17006 grad_norm: 12.3382 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1183 loss: 1.1183 2022/07/30 14:26:12 - mmengine - INFO - Epoch(train) [171][1160/3757] lr: 7.5961e-05 eta: 4:12:27 time: 0.4368 data_time: 0.0229 memory: 17006 grad_norm: 12.1323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/07/30 14:26:20 - mmengine - INFO - Epoch(train) [171][1180/3757] lr: 7.5961e-05 eta: 4:12:19 time: 0.4093 data_time: 0.0210 memory: 17006 grad_norm: 12.1190 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3283 loss: 1.3283 2022/07/30 14:26:29 - mmengine - INFO - Epoch(train) [171][1200/3757] lr: 7.5961e-05 eta: 4:12:11 time: 0.4372 data_time: 0.0212 memory: 17006 grad_norm: 12.0542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/07/30 14:26:37 - mmengine - INFO - Epoch(train) [171][1220/3757] lr: 7.5961e-05 eta: 4:12:02 time: 0.4116 data_time: 0.0195 memory: 17006 grad_norm: 12.0875 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1320 loss: 1.1320 2022/07/30 14:26:46 - mmengine - INFO - Epoch(train) [171][1240/3757] lr: 7.5961e-05 eta: 4:11:54 time: 0.4080 data_time: 0.0213 memory: 17006 grad_norm: 12.3993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0996 loss: 1.0996 2022/07/30 14:26:54 - mmengine - INFO - Epoch(train) [171][1260/3757] lr: 7.5961e-05 eta: 4:11:46 time: 0.4180 data_time: 0.0220 memory: 17006 grad_norm: 12.1004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1605 loss: 1.1605 2022/07/30 14:27:02 - mmengine - INFO - Epoch(train) [171][1280/3757] lr: 7.5961e-05 eta: 4:11:37 time: 0.4086 data_time: 0.0215 memory: 17006 grad_norm: 12.5998 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9169 loss: 0.9169 2022/07/30 14:27:11 - mmengine - INFO - Epoch(train) [171][1300/3757] lr: 7.5961e-05 eta: 4:11:29 time: 0.4404 data_time: 0.0213 memory: 17006 grad_norm: 12.6891 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4916 loss: 1.4916 2022/07/30 14:27:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:27:19 - mmengine - INFO - Epoch(train) [171][1320/3757] lr: 7.5961e-05 eta: 4:11:21 time: 0.4110 data_time: 0.0217 memory: 17006 grad_norm: 12.3422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9023 loss: 0.9023 2022/07/30 14:27:27 - mmengine - INFO - Epoch(train) [171][1340/3757] lr: 7.5961e-05 eta: 4:11:12 time: 0.4062 data_time: 0.0199 memory: 17006 grad_norm: 12.4082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0338 loss: 1.0338 2022/07/30 14:27:36 - mmengine - INFO - Epoch(train) [171][1360/3757] lr: 7.5961e-05 eta: 4:11:04 time: 0.4193 data_time: 0.0228 memory: 17006 grad_norm: 12.4741 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2053 loss: 1.2053 2022/07/30 14:27:44 - mmengine - INFO - Epoch(train) [171][1380/3757] lr: 7.5961e-05 eta: 4:10:56 time: 0.4087 data_time: 0.0204 memory: 17006 grad_norm: 11.9719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1974 loss: 1.1974 2022/07/30 14:27:53 - mmengine - INFO - Epoch(train) [171][1400/3757] lr: 7.5961e-05 eta: 4:10:48 time: 0.4479 data_time: 0.0229 memory: 17006 grad_norm: 12.3203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1649 loss: 1.1649 2022/07/30 14:28:01 - mmengine - INFO - Epoch(train) [171][1420/3757] lr: 7.5961e-05 eta: 4:10:39 time: 0.4110 data_time: 0.0214 memory: 17006 grad_norm: 12.2529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/07/30 14:28:10 - mmengine - INFO - Epoch(train) [171][1440/3757] lr: 7.5961e-05 eta: 4:10:31 time: 0.4124 data_time: 0.0235 memory: 17006 grad_norm: 12.0532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/07/30 14:28:18 - mmengine - INFO - Epoch(train) [171][1460/3757] lr: 7.5961e-05 eta: 4:10:23 time: 0.4068 data_time: 0.0210 memory: 17006 grad_norm: 12.8105 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0045 loss: 1.0045 2022/07/30 14:28:26 - mmengine - INFO - Epoch(train) [171][1480/3757] lr: 7.5961e-05 eta: 4:10:14 time: 0.4345 data_time: 0.0206 memory: 17006 grad_norm: 12.7788 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1847 loss: 1.1847 2022/07/30 14:28:35 - mmengine - INFO - Epoch(train) [171][1500/3757] lr: 7.5961e-05 eta: 4:10:06 time: 0.4131 data_time: 0.0201 memory: 17006 grad_norm: 12.7260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2100 loss: 1.2100 2022/07/30 14:28:43 - mmengine - INFO - Epoch(train) [171][1520/3757] lr: 7.5961e-05 eta: 4:09:58 time: 0.4141 data_time: 0.0219 memory: 17006 grad_norm: 12.3482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0518 loss: 1.0518 2022/07/30 14:28:51 - mmengine - INFO - Epoch(train) [171][1540/3757] lr: 7.5961e-05 eta: 4:09:49 time: 0.4204 data_time: 0.0220 memory: 17006 grad_norm: 11.9776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0196 loss: 1.0196 2022/07/30 14:29:00 - mmengine - INFO - Epoch(train) [171][1560/3757] lr: 7.5961e-05 eta: 4:09:41 time: 0.4117 data_time: 0.0218 memory: 17006 grad_norm: 11.7696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/07/30 14:29:08 - mmengine - INFO - Epoch(train) [171][1580/3757] lr: 7.5961e-05 eta: 4:09:33 time: 0.4049 data_time: 0.0193 memory: 17006 grad_norm: 12.0277 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1077 loss: 1.1077 2022/07/30 14:29:16 - mmengine - INFO - Epoch(train) [171][1600/3757] lr: 7.5961e-05 eta: 4:09:24 time: 0.4118 data_time: 0.0231 memory: 17006 grad_norm: 12.3928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3084 loss: 1.3084 2022/07/30 14:29:24 - mmengine - INFO - Epoch(train) [171][1620/3757] lr: 7.5961e-05 eta: 4:09:16 time: 0.4133 data_time: 0.0213 memory: 17006 grad_norm: 12.5336 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0104 loss: 1.0104 2022/07/30 14:29:33 - mmengine - INFO - Epoch(train) [171][1640/3757] lr: 7.5961e-05 eta: 4:09:08 time: 0.4120 data_time: 0.0218 memory: 17006 grad_norm: 12.4639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/07/30 14:29:41 - mmengine - INFO - Epoch(train) [171][1660/3757] lr: 7.5961e-05 eta: 4:08:59 time: 0.4149 data_time: 0.0193 memory: 17006 grad_norm: 11.8560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9889 loss: 0.9889 2022/07/30 14:29:49 - mmengine - INFO - Epoch(train) [171][1680/3757] lr: 7.5961e-05 eta: 4:08:51 time: 0.4164 data_time: 0.0227 memory: 17006 grad_norm: 12.3188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1256 loss: 1.1256 2022/07/30 14:29:58 - mmengine - INFO - Epoch(train) [171][1700/3757] lr: 7.5961e-05 eta: 4:08:43 time: 0.4076 data_time: 0.0211 memory: 17006 grad_norm: 12.3097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9385 loss: 0.9385 2022/07/30 14:30:06 - mmengine - INFO - Epoch(train) [171][1720/3757] lr: 7.5961e-05 eta: 4:08:34 time: 0.4125 data_time: 0.0202 memory: 17006 grad_norm: 11.8330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/07/30 14:30:14 - mmengine - INFO - Epoch(train) [171][1740/3757] lr: 7.5961e-05 eta: 4:08:26 time: 0.4091 data_time: 0.0223 memory: 17006 grad_norm: 12.1809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/07/30 14:30:22 - mmengine - INFO - Epoch(train) [171][1760/3757] lr: 7.5961e-05 eta: 4:08:18 time: 0.4117 data_time: 0.0217 memory: 17006 grad_norm: 12.4378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8595 loss: 0.8595 2022/07/30 14:30:31 - mmengine - INFO - Epoch(train) [171][1780/3757] lr: 7.5961e-05 eta: 4:08:09 time: 0.4215 data_time: 0.0213 memory: 17006 grad_norm: 11.8058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1204 loss: 1.1204 2022/07/30 14:30:39 - mmengine - INFO - Epoch(train) [171][1800/3757] lr: 7.5961e-05 eta: 4:08:01 time: 0.4077 data_time: 0.0222 memory: 17006 grad_norm: 12.2943 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/07/30 14:30:47 - mmengine - INFO - Epoch(train) [171][1820/3757] lr: 7.5961e-05 eta: 4:07:53 time: 0.4066 data_time: 0.0188 memory: 17006 grad_norm: 11.7826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9264 loss: 0.9264 2022/07/30 14:30:55 - mmengine - INFO - Epoch(train) [171][1840/3757] lr: 7.5961e-05 eta: 4:07:44 time: 0.4109 data_time: 0.0203 memory: 17006 grad_norm: 11.8562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0032 loss: 1.0032 2022/07/30 14:31:04 - mmengine - INFO - Epoch(train) [171][1860/3757] lr: 7.5961e-05 eta: 4:07:36 time: 0.4096 data_time: 0.0206 memory: 17006 grad_norm: 12.2683 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/07/30 14:31:12 - mmengine - INFO - Epoch(train) [171][1880/3757] lr: 7.5961e-05 eta: 4:07:28 time: 0.4115 data_time: 0.0230 memory: 17006 grad_norm: 12.0838 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1966 loss: 1.1966 2022/07/30 14:31:20 - mmengine - INFO - Epoch(train) [171][1900/3757] lr: 7.5961e-05 eta: 4:07:19 time: 0.4185 data_time: 0.0210 memory: 17006 grad_norm: 12.3794 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0583 loss: 1.0583 2022/07/30 14:31:28 - mmengine - INFO - Epoch(train) [171][1920/3757] lr: 7.5961e-05 eta: 4:07:11 time: 0.4082 data_time: 0.0214 memory: 17006 grad_norm: 12.3509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1323 loss: 1.1323 2022/07/30 14:31:37 - mmengine - INFO - Epoch(train) [171][1940/3757] lr: 7.5961e-05 eta: 4:07:03 time: 0.4188 data_time: 0.0215 memory: 17006 grad_norm: 12.0813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/07/30 14:31:45 - mmengine - INFO - Epoch(train) [171][1960/3757] lr: 7.5961e-05 eta: 4:06:54 time: 0.4086 data_time: 0.0217 memory: 17006 grad_norm: 12.2768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8715 loss: 0.8715 2022/07/30 14:31:53 - mmengine - INFO - Epoch(train) [171][1980/3757] lr: 7.5961e-05 eta: 4:06:46 time: 0.4183 data_time: 0.0202 memory: 17006 grad_norm: 11.7326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0858 loss: 1.0858 2022/07/30 14:32:02 - mmengine - INFO - Epoch(train) [171][2000/3757] lr: 7.5961e-05 eta: 4:06:38 time: 0.4075 data_time: 0.0227 memory: 17006 grad_norm: 12.2983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/07/30 14:32:10 - mmengine - INFO - Epoch(train) [171][2020/3757] lr: 7.5961e-05 eta: 4:06:29 time: 0.4102 data_time: 0.0211 memory: 17006 grad_norm: 12.0873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0793 loss: 1.0793 2022/07/30 14:32:18 - mmengine - INFO - Epoch(train) [171][2040/3757] lr: 7.5961e-05 eta: 4:06:21 time: 0.4086 data_time: 0.0217 memory: 17006 grad_norm: 12.1371 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8992 loss: 0.8992 2022/07/30 14:32:26 - mmengine - INFO - Epoch(train) [171][2060/3757] lr: 7.5961e-05 eta: 4:06:13 time: 0.4090 data_time: 0.0207 memory: 17006 grad_norm: 12.1534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9666 loss: 0.9666 2022/07/30 14:32:35 - mmengine - INFO - Epoch(train) [171][2080/3757] lr: 7.5961e-05 eta: 4:06:04 time: 0.4397 data_time: 0.0235 memory: 17006 grad_norm: 12.0685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1252 loss: 1.1252 2022/07/30 14:32:43 - mmengine - INFO - Epoch(train) [171][2100/3757] lr: 7.5961e-05 eta: 4:05:56 time: 0.4097 data_time: 0.0227 memory: 17006 grad_norm: 12.0242 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9754 loss: 0.9754 2022/07/30 14:32:52 - mmengine - INFO - Epoch(train) [171][2120/3757] lr: 7.5961e-05 eta: 4:05:48 time: 0.4491 data_time: 0.0233 memory: 17006 grad_norm: 12.2781 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/07/30 14:33:01 - mmengine - INFO - Epoch(train) [171][2140/3757] lr: 7.5961e-05 eta: 4:05:39 time: 0.4097 data_time: 0.0233 memory: 17006 grad_norm: 12.0094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0569 loss: 1.0569 2022/07/30 14:33:09 - mmengine - INFO - Epoch(train) [171][2160/3757] lr: 7.5961e-05 eta: 4:05:31 time: 0.4066 data_time: 0.0216 memory: 17006 grad_norm: 12.5113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0501 loss: 1.0501 2022/07/30 14:33:18 - mmengine - INFO - Epoch(train) [171][2180/3757] lr: 7.5961e-05 eta: 4:05:23 time: 0.4513 data_time: 0.0212 memory: 17006 grad_norm: 11.7665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1336 loss: 1.1336 2022/07/30 14:33:26 - mmengine - INFO - Epoch(train) [171][2200/3757] lr: 7.5961e-05 eta: 4:05:15 time: 0.4103 data_time: 0.0219 memory: 17006 grad_norm: 12.3088 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1276 loss: 1.1276 2022/07/30 14:33:34 - mmengine - INFO - Epoch(train) [171][2220/3757] lr: 7.5961e-05 eta: 4:05:06 time: 0.4115 data_time: 0.0215 memory: 17006 grad_norm: 12.2322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1940 loss: 1.1940 2022/07/30 14:33:43 - mmengine - INFO - Epoch(train) [171][2240/3757] lr: 7.5961e-05 eta: 4:04:58 time: 0.4074 data_time: 0.0201 memory: 17006 grad_norm: 12.4662 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0769 loss: 1.0769 2022/07/30 14:33:51 - mmengine - INFO - Epoch(train) [171][2260/3757] lr: 7.5961e-05 eta: 4:04:50 time: 0.4234 data_time: 0.0212 memory: 17006 grad_norm: 12.1294 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0166 loss: 1.0166 2022/07/30 14:33:59 - mmengine - INFO - Epoch(train) [171][2280/3757] lr: 7.5961e-05 eta: 4:04:41 time: 0.4071 data_time: 0.0222 memory: 17006 grad_norm: 12.4812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3777 loss: 1.3777 2022/07/30 14:34:07 - mmengine - INFO - Epoch(train) [171][2300/3757] lr: 7.5961e-05 eta: 4:04:33 time: 0.4085 data_time: 0.0207 memory: 17006 grad_norm: 12.2300 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2392 loss: 1.2392 2022/07/30 14:34:12 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:34:16 - mmengine - INFO - Epoch(train) [171][2320/3757] lr: 7.5961e-05 eta: 4:04:25 time: 0.4150 data_time: 0.0208 memory: 17006 grad_norm: 12.4386 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2222 loss: 1.2222 2022/07/30 14:34:24 - mmengine - INFO - Epoch(train) [171][2340/3757] lr: 7.5961e-05 eta: 4:04:16 time: 0.4090 data_time: 0.0206 memory: 17006 grad_norm: 12.4348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/07/30 14:34:33 - mmengine - INFO - Epoch(train) [171][2360/3757] lr: 7.5961e-05 eta: 4:04:08 time: 0.4341 data_time: 0.0232 memory: 17006 grad_norm: 12.9716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1409 loss: 1.1409 2022/07/30 14:34:41 - mmengine - INFO - Epoch(train) [171][2380/3757] lr: 7.5961e-05 eta: 4:04:00 time: 0.4057 data_time: 0.0188 memory: 17006 grad_norm: 11.8246 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0199 loss: 1.0199 2022/07/30 14:34:49 - mmengine - INFO - Epoch(train) [171][2400/3757] lr: 7.5961e-05 eta: 4:03:51 time: 0.4103 data_time: 0.0221 memory: 17006 grad_norm: 11.9088 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8824 loss: 0.8824 2022/07/30 14:34:57 - mmengine - INFO - Epoch(train) [171][2420/3757] lr: 7.5961e-05 eta: 4:03:43 time: 0.4080 data_time: 0.0197 memory: 17006 grad_norm: 12.7162 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0909 loss: 1.0909 2022/07/30 14:35:06 - mmengine - INFO - Epoch(train) [171][2440/3757] lr: 7.5961e-05 eta: 4:03:35 time: 0.4143 data_time: 0.0231 memory: 17006 grad_norm: 12.1955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/07/30 14:35:14 - mmengine - INFO - Epoch(train) [171][2460/3757] lr: 7.5961e-05 eta: 4:03:26 time: 0.4241 data_time: 0.0203 memory: 17006 grad_norm: 12.7102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1512 loss: 1.1512 2022/07/30 14:35:22 - mmengine - INFO - Epoch(train) [171][2480/3757] lr: 7.5961e-05 eta: 4:03:18 time: 0.4084 data_time: 0.0225 memory: 17006 grad_norm: 12.8875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1037 loss: 1.1037 2022/07/30 14:35:31 - mmengine - INFO - Epoch(train) [171][2500/3757] lr: 7.5961e-05 eta: 4:03:10 time: 0.4232 data_time: 0.0218 memory: 17006 grad_norm: 12.5449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1204 loss: 1.1204 2022/07/30 14:35:39 - mmengine - INFO - Epoch(train) [171][2520/3757] lr: 7.5961e-05 eta: 4:03:01 time: 0.4075 data_time: 0.0215 memory: 17006 grad_norm: 12.9130 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1191 loss: 1.1191 2022/07/30 14:35:47 - mmengine - INFO - Epoch(train) [171][2540/3757] lr: 7.5961e-05 eta: 4:02:53 time: 0.4073 data_time: 0.0206 memory: 17006 grad_norm: 12.2944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1777 loss: 1.1777 2022/07/30 14:35:56 - mmengine - INFO - Epoch(train) [171][2560/3757] lr: 7.5961e-05 eta: 4:02:45 time: 0.4190 data_time: 0.0235 memory: 17006 grad_norm: 12.5309 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2277 loss: 1.2277 2022/07/30 14:36:04 - mmengine - INFO - Epoch(train) [171][2580/3757] lr: 7.5961e-05 eta: 4:02:36 time: 0.4329 data_time: 0.0207 memory: 17006 grad_norm: 12.3294 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/07/30 14:36:13 - mmengine - INFO - Epoch(train) [171][2600/3757] lr: 7.5961e-05 eta: 4:02:28 time: 0.4170 data_time: 0.0223 memory: 17006 grad_norm: 11.1945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/07/30 14:36:21 - mmengine - INFO - Epoch(train) [171][2620/3757] lr: 7.5961e-05 eta: 4:02:20 time: 0.4065 data_time: 0.0206 memory: 17006 grad_norm: 12.0760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0957 loss: 1.0957 2022/07/30 14:36:29 - mmengine - INFO - Epoch(train) [171][2640/3757] lr: 7.5961e-05 eta: 4:02:11 time: 0.4063 data_time: 0.0201 memory: 17006 grad_norm: 11.8093 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8590 loss: 0.8590 2022/07/30 14:36:37 - mmengine - INFO - Epoch(train) [171][2660/3757] lr: 7.5961e-05 eta: 4:02:03 time: 0.4145 data_time: 0.0217 memory: 17006 grad_norm: 12.2699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1788 loss: 1.1788 2022/07/30 14:36:45 - mmengine - INFO - Epoch(train) [171][2680/3757] lr: 7.5961e-05 eta: 4:01:55 time: 0.4104 data_time: 0.0224 memory: 17006 grad_norm: 12.3893 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0644 loss: 1.0644 2022/07/30 14:36:54 - mmengine - INFO - Epoch(train) [171][2700/3757] lr: 7.5961e-05 eta: 4:01:46 time: 0.4141 data_time: 0.0190 memory: 17006 grad_norm: 11.5721 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2052 loss: 1.2052 2022/07/30 14:37:02 - mmengine - INFO - Epoch(train) [171][2720/3757] lr: 7.5961e-05 eta: 4:01:38 time: 0.4212 data_time: 0.0234 memory: 17006 grad_norm: 12.6072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9692 loss: 0.9692 2022/07/30 14:37:11 - mmengine - INFO - Epoch(train) [171][2740/3757] lr: 7.5961e-05 eta: 4:01:30 time: 0.4196 data_time: 0.0206 memory: 17006 grad_norm: 12.1849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1288 loss: 1.1288 2022/07/30 14:37:19 - mmengine - INFO - Epoch(train) [171][2760/3757] lr: 7.5961e-05 eta: 4:01:21 time: 0.4097 data_time: 0.0221 memory: 17006 grad_norm: 11.9926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/07/30 14:37:27 - mmengine - INFO - Epoch(train) [171][2780/3757] lr: 7.5961e-05 eta: 4:01:13 time: 0.4081 data_time: 0.0213 memory: 17006 grad_norm: 12.2170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/07/30 14:37:35 - mmengine - INFO - Epoch(train) [171][2800/3757] lr: 7.5961e-05 eta: 4:01:05 time: 0.4178 data_time: 0.0209 memory: 17006 grad_norm: 12.3635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2619 loss: 1.2619 2022/07/30 14:37:44 - mmengine - INFO - Epoch(train) [171][2820/3757] lr: 7.5961e-05 eta: 4:00:56 time: 0.4107 data_time: 0.0207 memory: 17006 grad_norm: 12.3240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9072 loss: 0.9072 2022/07/30 14:37:52 - mmengine - INFO - Epoch(train) [171][2840/3757] lr: 7.5961e-05 eta: 4:00:48 time: 0.4217 data_time: 0.0223 memory: 17006 grad_norm: 12.5172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9495 loss: 0.9495 2022/07/30 14:38:01 - mmengine - INFO - Epoch(train) [171][2860/3757] lr: 7.5961e-05 eta: 4:00:40 time: 0.4169 data_time: 0.0223 memory: 17006 grad_norm: 12.2915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1906 loss: 1.1906 2022/07/30 14:38:09 - mmengine - INFO - Epoch(train) [171][2880/3757] lr: 7.5961e-05 eta: 4:00:31 time: 0.4065 data_time: 0.0208 memory: 17006 grad_norm: 12.4170 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3447 loss: 1.3447 2022/07/30 14:38:17 - mmengine - INFO - Epoch(train) [171][2900/3757] lr: 7.5961e-05 eta: 4:00:23 time: 0.4133 data_time: 0.0216 memory: 17006 grad_norm: 12.2719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0250 loss: 1.0250 2022/07/30 14:38:25 - mmengine - INFO - Epoch(train) [171][2920/3757] lr: 7.5961e-05 eta: 4:00:15 time: 0.4082 data_time: 0.0219 memory: 17006 grad_norm: 12.1992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8834 loss: 0.8834 2022/07/30 14:38:34 - mmengine - INFO - Epoch(train) [171][2940/3757] lr: 7.5961e-05 eta: 4:00:07 time: 0.4328 data_time: 0.0193 memory: 17006 grad_norm: 12.1531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1983 loss: 1.1983 2022/07/30 14:38:42 - mmengine - INFO - Epoch(train) [171][2960/3757] lr: 7.5961e-05 eta: 3:59:58 time: 0.4103 data_time: 0.0227 memory: 17006 grad_norm: 11.9784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2157 loss: 1.2157 2022/07/30 14:38:51 - mmengine - INFO - Epoch(train) [171][2980/3757] lr: 7.5961e-05 eta: 3:59:50 time: 0.4376 data_time: 0.0279 memory: 17006 grad_norm: 11.9355 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1156 loss: 1.1156 2022/07/30 14:38:59 - mmengine - INFO - Epoch(train) [171][3000/3757] lr: 7.5961e-05 eta: 3:59:42 time: 0.4075 data_time: 0.0213 memory: 17006 grad_norm: 11.7171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0581 loss: 1.0581 2022/07/30 14:39:07 - mmengine - INFO - Epoch(train) [171][3020/3757] lr: 7.5961e-05 eta: 3:59:33 time: 0.4066 data_time: 0.0205 memory: 17006 grad_norm: 11.8756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9865 loss: 0.9865 2022/07/30 14:39:16 - mmengine - INFO - Epoch(train) [171][3040/3757] lr: 7.5961e-05 eta: 3:59:25 time: 0.4274 data_time: 0.0224 memory: 17006 grad_norm: 12.0370 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1150 loss: 1.1150 2022/07/30 14:39:24 - mmengine - INFO - Epoch(train) [171][3060/3757] lr: 7.5961e-05 eta: 3:59:17 time: 0.4193 data_time: 0.0223 memory: 17006 grad_norm: 12.0483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1398 loss: 1.1398 2022/07/30 14:39:33 - mmengine - INFO - Epoch(train) [171][3080/3757] lr: 7.5961e-05 eta: 3:59:08 time: 0.4209 data_time: 0.0223 memory: 17006 grad_norm: 12.2453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1499 loss: 1.1499 2022/07/30 14:39:41 - mmengine - INFO - Epoch(train) [171][3100/3757] lr: 7.5961e-05 eta: 3:59:00 time: 0.4059 data_time: 0.0185 memory: 17006 grad_norm: 12.1656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0623 loss: 1.0623 2022/07/30 14:39:49 - mmengine - INFO - Epoch(train) [171][3120/3757] lr: 7.5961e-05 eta: 3:58:52 time: 0.4069 data_time: 0.0217 memory: 17006 grad_norm: 11.9754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1723 loss: 1.1723 2022/07/30 14:39:57 - mmengine - INFO - Epoch(train) [171][3140/3757] lr: 7.5961e-05 eta: 3:58:43 time: 0.4217 data_time: 0.0203 memory: 17006 grad_norm: 12.1405 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2585 loss: 1.2585 2022/07/30 14:40:06 - mmengine - INFO - Epoch(train) [171][3160/3757] lr: 7.5961e-05 eta: 3:58:35 time: 0.4101 data_time: 0.0221 memory: 17006 grad_norm: 12.5106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3082 loss: 1.3082 2022/07/30 14:40:14 - mmengine - INFO - Epoch(train) [171][3180/3757] lr: 7.5961e-05 eta: 3:58:27 time: 0.4260 data_time: 0.0217 memory: 17006 grad_norm: 12.7133 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3911 loss: 1.3911 2022/07/30 14:40:23 - mmengine - INFO - Epoch(train) [171][3200/3757] lr: 7.5961e-05 eta: 3:58:18 time: 0.4114 data_time: 0.0220 memory: 17006 grad_norm: 12.5520 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9144 loss: 0.9144 2022/07/30 14:40:31 - mmengine - INFO - Epoch(train) [171][3220/3757] lr: 7.5961e-05 eta: 3:58:10 time: 0.4237 data_time: 0.0200 memory: 17006 grad_norm: 11.7270 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0611 loss: 1.0611 2022/07/30 14:40:39 - mmengine - INFO - Epoch(train) [171][3240/3757] lr: 7.5961e-05 eta: 3:58:02 time: 0.4073 data_time: 0.0212 memory: 17006 grad_norm: 12.1908 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2294 loss: 1.2294 2022/07/30 14:40:47 - mmengine - INFO - Epoch(train) [171][3260/3757] lr: 7.5961e-05 eta: 3:57:53 time: 0.4065 data_time: 0.0190 memory: 17006 grad_norm: 11.7099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/07/30 14:40:56 - mmengine - INFO - Epoch(train) [171][3280/3757] lr: 7.5961e-05 eta: 3:57:45 time: 0.4107 data_time: 0.0225 memory: 17006 grad_norm: 12.7432 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3153 loss: 1.3153 2022/07/30 14:41:04 - mmengine - INFO - Epoch(train) [171][3300/3757] lr: 7.5961e-05 eta: 3:57:37 time: 0.4241 data_time: 0.0199 memory: 17006 grad_norm: 12.3423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0690 loss: 1.0690 2022/07/30 14:41:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:41:13 - mmengine - INFO - Epoch(train) [171][3320/3757] lr: 7.5961e-05 eta: 3:57:28 time: 0.4181 data_time: 0.0227 memory: 17006 grad_norm: 12.7585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2983 loss: 1.2983 2022/07/30 14:41:21 - mmengine - INFO - Epoch(train) [171][3340/3757] lr: 7.5961e-05 eta: 3:57:20 time: 0.4079 data_time: 0.0206 memory: 17006 grad_norm: 12.4859 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4659 loss: 1.4659 2022/07/30 14:41:29 - mmengine - INFO - Epoch(train) [171][3360/3757] lr: 7.5961e-05 eta: 3:57:12 time: 0.4076 data_time: 0.0214 memory: 17006 grad_norm: 12.3392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0513 loss: 1.0513 2022/07/30 14:41:37 - mmengine - INFO - Epoch(train) [171][3380/3757] lr: 7.5961e-05 eta: 3:57:03 time: 0.4192 data_time: 0.0232 memory: 17006 grad_norm: 11.7682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9444 loss: 0.9444 2022/07/30 14:41:46 - mmengine - INFO - Epoch(train) [171][3400/3757] lr: 7.5961e-05 eta: 3:56:55 time: 0.4099 data_time: 0.0216 memory: 17006 grad_norm: 12.2816 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1320 loss: 1.1320 2022/07/30 14:41:54 - mmengine - INFO - Epoch(train) [171][3420/3757] lr: 7.5961e-05 eta: 3:56:47 time: 0.4474 data_time: 0.0223 memory: 17006 grad_norm: 12.1873 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0644 loss: 1.0644 2022/07/30 14:42:03 - mmengine - INFO - Epoch(train) [171][3440/3757] lr: 7.5961e-05 eta: 3:56:39 time: 0.4075 data_time: 0.0215 memory: 17006 grad_norm: 11.7906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1585 loss: 1.1585 2022/07/30 14:42:11 - mmengine - INFO - Epoch(train) [171][3460/3757] lr: 7.5961e-05 eta: 3:56:30 time: 0.4339 data_time: 0.0217 memory: 17006 grad_norm: 12.4247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8308 loss: 0.8308 2022/07/30 14:42:20 - mmengine - INFO - Epoch(train) [171][3480/3757] lr: 7.5961e-05 eta: 3:56:22 time: 0.4068 data_time: 0.0214 memory: 17006 grad_norm: 12.3148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1645 loss: 1.1645 2022/07/30 14:42:28 - mmengine - INFO - Epoch(train) [171][3500/3757] lr: 7.5961e-05 eta: 3:56:14 time: 0.4062 data_time: 0.0192 memory: 17006 grad_norm: 12.5791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2685 loss: 1.2685 2022/07/30 14:42:37 - mmengine - INFO - Epoch(train) [171][3520/3757] lr: 7.5961e-05 eta: 3:56:05 time: 0.4447 data_time: 0.0247 memory: 17006 grad_norm: 12.6494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2141 loss: 1.2141 2022/07/30 14:42:45 - mmengine - INFO - Epoch(train) [171][3540/3757] lr: 7.5961e-05 eta: 3:55:57 time: 0.4105 data_time: 0.0212 memory: 17006 grad_norm: 11.8708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8027 loss: 0.8027 2022/07/30 14:42:53 - mmengine - INFO - Epoch(train) [171][3560/3757] lr: 7.5961e-05 eta: 3:55:49 time: 0.4171 data_time: 0.0222 memory: 17006 grad_norm: 12.4377 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1401 loss: 1.1401 2022/07/30 14:43:02 - mmengine - INFO - Epoch(train) [171][3580/3757] lr: 7.5961e-05 eta: 3:55:40 time: 0.4164 data_time: 0.0221 memory: 17006 grad_norm: 12.0535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0308 loss: 1.0308 2022/07/30 14:43:10 - mmengine - INFO - Epoch(train) [171][3600/3757] lr: 7.5961e-05 eta: 3:55:32 time: 0.4078 data_time: 0.0219 memory: 17006 grad_norm: 12.3474 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0405 loss: 1.0405 2022/07/30 14:43:18 - mmengine - INFO - Epoch(train) [171][3620/3757] lr: 7.5961e-05 eta: 3:55:24 time: 0.4212 data_time: 0.0292 memory: 17006 grad_norm: 12.3454 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2450 loss: 1.2450 2022/07/30 14:43:26 - mmengine - INFO - Epoch(train) [171][3640/3757] lr: 7.5961e-05 eta: 3:55:15 time: 0.4098 data_time: 0.0221 memory: 17006 grad_norm: 12.0425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8730 loss: 0.8730 2022/07/30 14:43:35 - mmengine - INFO - Epoch(train) [171][3660/3757] lr: 7.5961e-05 eta: 3:55:07 time: 0.4123 data_time: 0.0216 memory: 17006 grad_norm: 11.3583 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2650 loss: 1.2650 2022/07/30 14:43:43 - mmengine - INFO - Epoch(train) [171][3680/3757] lr: 7.5961e-05 eta: 3:54:59 time: 0.4067 data_time: 0.0208 memory: 17006 grad_norm: 12.3933 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0381 loss: 1.0381 2022/07/30 14:43:52 - mmengine - INFO - Epoch(train) [171][3700/3757] lr: 7.5961e-05 eta: 3:54:50 time: 0.4425 data_time: 0.0217 memory: 17006 grad_norm: 12.0782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9703 loss: 0.9703 2022/07/30 14:44:00 - mmengine - INFO - Epoch(train) [171][3720/3757] lr: 7.5961e-05 eta: 3:54:42 time: 0.4081 data_time: 0.0225 memory: 17006 grad_norm: 11.7646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9705 loss: 0.9705 2022/07/30 14:44:08 - mmengine - INFO - Epoch(train) [171][3740/3757] lr: 7.5961e-05 eta: 3:54:34 time: 0.4066 data_time: 0.0202 memory: 17006 grad_norm: 12.0566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1085 loss: 1.1085 2022/07/30 14:44:15 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:44:15 - mmengine - INFO - Epoch(train) [171][3757/3757] lr: 7.5961e-05 eta: 3:54:34 time: 0.4253 data_time: 0.0205 memory: 17006 grad_norm: 12.2188 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2345 loss: 1.2345 2022/07/30 14:44:16 - mmengine - INFO - Saving checkpoint at 171 epochs 2022/07/30 14:44:29 - mmengine - INFO - Epoch(train) [172][20/3757] lr: 6.1558e-05 eta: 3:54:17 time: 0.4674 data_time: 0.0811 memory: 17006 grad_norm: 12.3968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0400 loss: 1.0400 2022/07/30 14:44:38 - mmengine - INFO - Epoch(train) [172][40/3757] lr: 6.1558e-05 eta: 3:54:09 time: 0.4255 data_time: 0.0229 memory: 17006 grad_norm: 12.6840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3850 loss: 1.3850 2022/07/30 14:44:46 - mmengine - INFO - Epoch(train) [172][60/3757] lr: 6.1558e-05 eta: 3:54:01 time: 0.4052 data_time: 0.0205 memory: 17006 grad_norm: 11.7759 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/07/30 14:44:54 - mmengine - INFO - Epoch(train) [172][80/3757] lr: 6.1558e-05 eta: 3:53:52 time: 0.4198 data_time: 0.0232 memory: 17006 grad_norm: 11.9506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1489 loss: 1.1489 2022/07/30 14:45:03 - mmengine - INFO - Epoch(train) [172][100/3757] lr: 6.1558e-05 eta: 3:53:44 time: 0.4152 data_time: 0.0206 memory: 17006 grad_norm: 12.3632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/07/30 14:45:11 - mmengine - INFO - Epoch(train) [172][120/3757] lr: 6.1558e-05 eta: 3:53:36 time: 0.4357 data_time: 0.0228 memory: 17006 grad_norm: 12.0363 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1507 loss: 1.1507 2022/07/30 14:45:20 - mmengine - INFO - Epoch(train) [172][140/3757] lr: 6.1558e-05 eta: 3:53:27 time: 0.4079 data_time: 0.0214 memory: 17006 grad_norm: 11.5211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8592 loss: 0.8592 2022/07/30 14:45:28 - mmengine - INFO - Epoch(train) [172][160/3757] lr: 6.1558e-05 eta: 3:53:19 time: 0.4099 data_time: 0.0208 memory: 17006 grad_norm: 12.1075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9954 loss: 0.9954 2022/07/30 14:45:36 - mmengine - INFO - Epoch(train) [172][180/3757] lr: 6.1558e-05 eta: 3:53:11 time: 0.4230 data_time: 0.0218 memory: 17006 grad_norm: 12.0263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/07/30 14:45:45 - mmengine - INFO - Epoch(train) [172][200/3757] lr: 6.1558e-05 eta: 3:53:03 time: 0.4097 data_time: 0.0214 memory: 17006 grad_norm: 12.3247 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1816 loss: 1.1816 2022/07/30 14:45:53 - mmengine - INFO - Epoch(train) [172][220/3757] lr: 6.1558e-05 eta: 3:52:54 time: 0.4219 data_time: 0.0228 memory: 17006 grad_norm: 12.3315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2566 loss: 1.2566 2022/07/30 14:46:01 - mmengine - INFO - Epoch(train) [172][240/3757] lr: 6.1558e-05 eta: 3:52:46 time: 0.4218 data_time: 0.0211 memory: 17006 grad_norm: 12.1793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1193 loss: 1.1193 2022/07/30 14:46:10 - mmengine - INFO - Epoch(train) [172][260/3757] lr: 6.1558e-05 eta: 3:52:38 time: 0.4049 data_time: 0.0197 memory: 17006 grad_norm: 12.2727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1124 loss: 1.1124 2022/07/30 14:46:18 - mmengine - INFO - Epoch(train) [172][280/3757] lr: 6.1558e-05 eta: 3:52:29 time: 0.4131 data_time: 0.0225 memory: 17006 grad_norm: 11.5024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0094 loss: 1.0094 2022/07/30 14:46:26 - mmengine - INFO - Epoch(train) [172][300/3757] lr: 6.1558e-05 eta: 3:52:21 time: 0.4090 data_time: 0.0215 memory: 17006 grad_norm: 12.6023 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2131 loss: 1.2131 2022/07/30 14:46:34 - mmengine - INFO - Epoch(train) [172][320/3757] lr: 6.1558e-05 eta: 3:52:13 time: 0.4131 data_time: 0.0216 memory: 17006 grad_norm: 12.4159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3114 loss: 1.3114 2022/07/30 14:46:43 - mmengine - INFO - Epoch(train) [172][340/3757] lr: 6.1558e-05 eta: 3:52:04 time: 0.4126 data_time: 0.0206 memory: 17006 grad_norm: 12.2258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8787 loss: 0.8787 2022/07/30 14:46:51 - mmengine - INFO - Epoch(train) [172][360/3757] lr: 6.1558e-05 eta: 3:51:56 time: 0.4241 data_time: 0.0223 memory: 17006 grad_norm: 12.3216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1535 loss: 1.1535 2022/07/30 14:46:59 - mmengine - INFO - Epoch(train) [172][380/3757] lr: 6.1558e-05 eta: 3:51:48 time: 0.4042 data_time: 0.0207 memory: 17006 grad_norm: 12.1104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0230 loss: 1.0230 2022/07/30 14:47:08 - mmengine - INFO - Epoch(train) [172][400/3757] lr: 6.1558e-05 eta: 3:51:39 time: 0.4156 data_time: 0.0229 memory: 17006 grad_norm: 12.2007 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0303 loss: 1.0303 2022/07/30 14:47:16 - mmengine - INFO - Epoch(train) [172][420/3757] lr: 6.1558e-05 eta: 3:51:31 time: 0.4109 data_time: 0.0221 memory: 17006 grad_norm: 11.9862 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0518 loss: 1.0518 2022/07/30 14:47:24 - mmengine - INFO - Epoch(train) [172][440/3757] lr: 6.1558e-05 eta: 3:51:23 time: 0.4115 data_time: 0.0211 memory: 17006 grad_norm: 12.4572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0598 loss: 1.0598 2022/07/30 14:47:33 - mmengine - INFO - Epoch(train) [172][460/3757] lr: 6.1558e-05 eta: 3:51:14 time: 0.4311 data_time: 0.0216 memory: 17006 grad_norm: 11.9176 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1298 loss: 1.1298 2022/07/30 14:47:41 - mmengine - INFO - Epoch(train) [172][480/3757] lr: 6.1558e-05 eta: 3:51:06 time: 0.4161 data_time: 0.0205 memory: 17006 grad_norm: 11.6955 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9640 loss: 0.9640 2022/07/30 14:47:49 - mmengine - INFO - Epoch(train) [172][500/3757] lr: 6.1558e-05 eta: 3:50:58 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 12.9892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/07/30 14:47:58 - mmengine - INFO - Epoch(train) [172][520/3757] lr: 6.1558e-05 eta: 3:50:49 time: 0.4102 data_time: 0.0226 memory: 17006 grad_norm: 12.5507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1881 loss: 1.1881 2022/07/30 14:48:06 - mmengine - INFO - Epoch(train) [172][540/3757] lr: 6.1558e-05 eta: 3:50:41 time: 0.4141 data_time: 0.0212 memory: 17006 grad_norm: 12.1792 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1146 loss: 1.1146 2022/07/30 14:48:11 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:48:14 - mmengine - INFO - Epoch(train) [172][560/3757] lr: 6.1558e-05 eta: 3:50:33 time: 0.4172 data_time: 0.0223 memory: 17006 grad_norm: 12.2380 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0599 loss: 1.0599 2022/07/30 14:48:23 - mmengine - INFO - Epoch(train) [172][580/3757] lr: 6.1558e-05 eta: 3:50:24 time: 0.4106 data_time: 0.0213 memory: 17006 grad_norm: 12.2853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2465 loss: 1.2465 2022/07/30 14:48:31 - mmengine - INFO - Epoch(train) [172][600/3757] lr: 6.1558e-05 eta: 3:50:16 time: 0.4359 data_time: 0.0208 memory: 17006 grad_norm: 12.1669 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2670 loss: 1.2670 2022/07/30 14:48:39 - mmengine - INFO - Epoch(train) [172][620/3757] lr: 6.1558e-05 eta: 3:50:08 time: 0.4058 data_time: 0.0194 memory: 17006 grad_norm: 12.3282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8995 loss: 0.8995 2022/07/30 14:48:48 - mmengine - INFO - Epoch(train) [172][640/3757] lr: 6.1558e-05 eta: 3:49:59 time: 0.4093 data_time: 0.0217 memory: 17006 grad_norm: 12.2246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8603 loss: 0.8603 2022/07/30 14:48:56 - mmengine - INFO - Epoch(train) [172][660/3757] lr: 6.1558e-05 eta: 3:49:51 time: 0.4139 data_time: 0.0197 memory: 17006 grad_norm: 11.7487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8898 loss: 0.8898 2022/07/30 14:49:04 - mmengine - INFO - Epoch(train) [172][680/3757] lr: 6.1558e-05 eta: 3:49:43 time: 0.4072 data_time: 0.0195 memory: 17006 grad_norm: 12.2591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0325 loss: 1.0325 2022/07/30 14:49:13 - mmengine - INFO - Epoch(train) [172][700/3757] lr: 6.1558e-05 eta: 3:49:34 time: 0.4223 data_time: 0.0231 memory: 17006 grad_norm: 12.3782 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3270 loss: 1.3270 2022/07/30 14:49:21 - mmengine - INFO - Epoch(train) [172][720/3757] lr: 6.1558e-05 eta: 3:49:26 time: 0.4123 data_time: 0.0214 memory: 17006 grad_norm: 12.2390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9421 loss: 0.9421 2022/07/30 14:49:29 - mmengine - INFO - Epoch(train) [172][740/3757] lr: 6.1558e-05 eta: 3:49:18 time: 0.4068 data_time: 0.0212 memory: 17006 grad_norm: 11.6370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3479 loss: 1.3479 2022/07/30 14:49:38 - mmengine - INFO - Epoch(train) [172][760/3757] lr: 6.1558e-05 eta: 3:49:09 time: 0.4377 data_time: 0.0219 memory: 17006 grad_norm: 12.5607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1823 loss: 1.1823 2022/07/30 14:49:46 - mmengine - INFO - Epoch(train) [172][780/3757] lr: 6.1558e-05 eta: 3:49:01 time: 0.4128 data_time: 0.0220 memory: 17006 grad_norm: 12.3119 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/07/30 14:49:55 - mmengine - INFO - Epoch(train) [172][800/3757] lr: 6.1558e-05 eta: 3:48:53 time: 0.4267 data_time: 0.0231 memory: 17006 grad_norm: 11.8636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1444 loss: 1.1444 2022/07/30 14:50:03 - mmengine - INFO - Epoch(train) [172][820/3757] lr: 6.1558e-05 eta: 3:48:44 time: 0.4083 data_time: 0.0210 memory: 17006 grad_norm: 12.4176 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3546 loss: 1.3546 2022/07/30 14:50:12 - mmengine - INFO - Epoch(train) [172][840/3757] lr: 6.1558e-05 eta: 3:48:36 time: 0.4403 data_time: 0.0215 memory: 17006 grad_norm: 12.8363 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.5129 loss: 1.5129 2022/07/30 14:50:20 - mmengine - INFO - Epoch(train) [172][860/3757] lr: 6.1558e-05 eta: 3:48:28 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 12.4093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2315 loss: 1.2315 2022/07/30 14:50:28 - mmengine - INFO - Epoch(train) [172][880/3757] lr: 6.1558e-05 eta: 3:48:20 time: 0.4085 data_time: 0.0205 memory: 17006 grad_norm: 12.1518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9146 loss: 0.9146 2022/07/30 14:50:36 - mmengine - INFO - Epoch(train) [172][900/3757] lr: 6.1558e-05 eta: 3:48:11 time: 0.4148 data_time: 0.0214 memory: 17006 grad_norm: 12.4713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1936 loss: 1.1936 2022/07/30 14:50:45 - mmengine - INFO - Epoch(train) [172][920/3757] lr: 6.1558e-05 eta: 3:48:03 time: 0.4103 data_time: 0.0212 memory: 17006 grad_norm: 12.5461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8623 loss: 0.8623 2022/07/30 14:50:53 - mmengine - INFO - Epoch(train) [172][940/3757] lr: 6.1558e-05 eta: 3:47:55 time: 0.4225 data_time: 0.0222 memory: 17006 grad_norm: 12.2925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2484 loss: 1.2484 2022/07/30 14:51:01 - mmengine - INFO - Epoch(train) [172][960/3757] lr: 6.1558e-05 eta: 3:47:46 time: 0.4083 data_time: 0.0219 memory: 17006 grad_norm: 13.0782 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1366 loss: 1.1366 2022/07/30 14:51:10 - mmengine - INFO - Epoch(train) [172][980/3757] lr: 6.1558e-05 eta: 3:47:38 time: 0.4067 data_time: 0.0217 memory: 17006 grad_norm: 12.8373 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2183 loss: 1.2183 2022/07/30 14:51:18 - mmengine - INFO - Epoch(train) [172][1000/3757] lr: 6.1558e-05 eta: 3:47:30 time: 0.4191 data_time: 0.0232 memory: 17006 grad_norm: 12.4112 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0323 loss: 1.0323 2022/07/30 14:51:26 - mmengine - INFO - Epoch(train) [172][1020/3757] lr: 6.1558e-05 eta: 3:47:21 time: 0.4082 data_time: 0.0207 memory: 17006 grad_norm: 12.0295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0698 loss: 1.0698 2022/07/30 14:51:35 - mmengine - INFO - Epoch(train) [172][1040/3757] lr: 6.1558e-05 eta: 3:47:13 time: 0.4172 data_time: 0.0205 memory: 17006 grad_norm: 12.3817 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2403 loss: 1.2403 2022/07/30 14:51:43 - mmengine - INFO - Epoch(train) [172][1060/3757] lr: 6.1558e-05 eta: 3:47:05 time: 0.4190 data_time: 0.0214 memory: 17006 grad_norm: 12.4943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1480 loss: 1.1480 2022/07/30 14:51:51 - mmengine - INFO - Epoch(train) [172][1080/3757] lr: 6.1558e-05 eta: 3:46:56 time: 0.4178 data_time: 0.0223 memory: 17006 grad_norm: 12.3853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1988 loss: 1.1988 2022/07/30 14:51:59 - mmengine - INFO - Epoch(train) [172][1100/3757] lr: 6.1558e-05 eta: 3:46:48 time: 0.4078 data_time: 0.0204 memory: 17006 grad_norm: 12.4342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1608 loss: 1.1608 2022/07/30 14:52:08 - mmengine - INFO - Epoch(train) [172][1120/3757] lr: 6.1558e-05 eta: 3:46:40 time: 0.4106 data_time: 0.0222 memory: 17006 grad_norm: 12.3710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9343 loss: 0.9343 2022/07/30 14:52:16 - mmengine - INFO - Epoch(train) [172][1140/3757] lr: 6.1558e-05 eta: 3:46:31 time: 0.4194 data_time: 0.0224 memory: 17006 grad_norm: 12.4712 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9615 loss: 0.9615 2022/07/30 14:52:24 - mmengine - INFO - Epoch(train) [172][1160/3757] lr: 6.1558e-05 eta: 3:46:23 time: 0.4086 data_time: 0.0216 memory: 17006 grad_norm: 11.5925 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3552 loss: 1.3552 2022/07/30 14:52:33 - mmengine - INFO - Epoch(train) [172][1180/3757] lr: 6.1558e-05 eta: 3:46:15 time: 0.4158 data_time: 0.0237 memory: 17006 grad_norm: 12.1611 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0632 loss: 1.0632 2022/07/30 14:52:41 - mmengine - INFO - Epoch(train) [172][1200/3757] lr: 6.1558e-05 eta: 3:46:06 time: 0.4089 data_time: 0.0210 memory: 17006 grad_norm: 11.6364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9628 loss: 0.9628 2022/07/30 14:52:49 - mmengine - INFO - Epoch(train) [172][1220/3757] lr: 6.1558e-05 eta: 3:45:58 time: 0.4177 data_time: 0.0213 memory: 17006 grad_norm: 12.5304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2290 loss: 1.2290 2022/07/30 14:52:58 - mmengine - INFO - Epoch(train) [172][1240/3757] lr: 6.1558e-05 eta: 3:45:50 time: 0.4127 data_time: 0.0236 memory: 17006 grad_norm: 11.7299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0036 loss: 1.0036 2022/07/30 14:53:06 - mmengine - INFO - Epoch(train) [172][1260/3757] lr: 6.1558e-05 eta: 3:45:41 time: 0.4095 data_time: 0.0220 memory: 17006 grad_norm: 12.4962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2221 loss: 1.2221 2022/07/30 14:53:14 - mmengine - INFO - Epoch(train) [172][1280/3757] lr: 6.1558e-05 eta: 3:45:33 time: 0.4272 data_time: 0.0215 memory: 17006 grad_norm: 12.3250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1512 loss: 1.1512 2022/07/30 14:53:23 - mmengine - INFO - Epoch(train) [172][1300/3757] lr: 6.1558e-05 eta: 3:45:25 time: 0.4087 data_time: 0.0218 memory: 17006 grad_norm: 11.9796 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7717 loss: 0.7717 2022/07/30 14:53:31 - mmengine - INFO - Epoch(train) [172][1320/3757] lr: 6.1558e-05 eta: 3:45:16 time: 0.4085 data_time: 0.0212 memory: 17006 grad_norm: 12.6188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0971 loss: 1.0971 2022/07/30 14:53:40 - mmengine - INFO - Epoch(train) [172][1340/3757] lr: 6.1558e-05 eta: 3:45:08 time: 0.4341 data_time: 0.0304 memory: 17006 grad_norm: 12.2394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4230 loss: 1.4230 2022/07/30 14:53:48 - mmengine - INFO - Epoch(train) [172][1360/3757] lr: 6.1558e-05 eta: 3:45:00 time: 0.4100 data_time: 0.0218 memory: 17006 grad_norm: 11.8895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9795 loss: 0.9795 2022/07/30 14:53:56 - mmengine - INFO - Epoch(train) [172][1380/3757] lr: 6.1558e-05 eta: 3:44:51 time: 0.4159 data_time: 0.0224 memory: 17006 grad_norm: 12.2813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1628 loss: 1.1628 2022/07/30 14:54:04 - mmengine - INFO - Epoch(train) [172][1400/3757] lr: 6.1558e-05 eta: 3:44:43 time: 0.4102 data_time: 0.0201 memory: 17006 grad_norm: 12.7623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0348 loss: 1.0348 2022/07/30 14:54:13 - mmengine - INFO - Epoch(train) [172][1420/3757] lr: 6.1558e-05 eta: 3:44:35 time: 0.4119 data_time: 0.0222 memory: 17006 grad_norm: 11.9863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0215 loss: 1.0215 2022/07/30 14:54:21 - mmengine - INFO - Epoch(train) [172][1440/3757] lr: 6.1558e-05 eta: 3:44:26 time: 0.4061 data_time: 0.0208 memory: 17006 grad_norm: 12.1705 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0275 loss: 1.0275 2022/07/30 14:54:29 - mmengine - INFO - Epoch(train) [172][1460/3757] lr: 6.1558e-05 eta: 3:44:18 time: 0.4192 data_time: 0.0224 memory: 17006 grad_norm: 11.6063 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0186 loss: 1.0186 2022/07/30 14:54:38 - mmengine - INFO - Epoch(train) [172][1480/3757] lr: 6.1558e-05 eta: 3:44:10 time: 0.4196 data_time: 0.0221 memory: 17006 grad_norm: 12.6838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3549 loss: 1.3549 2022/07/30 14:54:46 - mmengine - INFO - Epoch(train) [172][1500/3757] lr: 6.1558e-05 eta: 3:44:01 time: 0.4081 data_time: 0.0224 memory: 17006 grad_norm: 12.1123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2122 loss: 1.2122 2022/07/30 14:54:54 - mmengine - INFO - Epoch(train) [172][1520/3757] lr: 6.1558e-05 eta: 3:43:53 time: 0.4334 data_time: 0.0239 memory: 17006 grad_norm: 12.1313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0883 loss: 1.0883 2022/07/30 14:55:03 - mmengine - INFO - Epoch(train) [172][1540/3757] lr: 6.1558e-05 eta: 3:43:45 time: 0.4084 data_time: 0.0221 memory: 17006 grad_norm: 11.7206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0910 loss: 1.0910 2022/07/30 14:55:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 14:55:11 - mmengine - INFO - Epoch(train) [172][1560/3757] lr: 6.1558e-05 eta: 3:43:36 time: 0.4075 data_time: 0.0208 memory: 17006 grad_norm: 11.9971 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/07/30 14:55:19 - mmengine - INFO - Epoch(train) [172][1580/3757] lr: 6.1558e-05 eta: 3:43:28 time: 0.4249 data_time: 0.0224 memory: 17006 grad_norm: 12.0994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1903 loss: 1.1903 2022/07/30 14:55:28 - mmengine - INFO - Epoch(train) [172][1600/3757] lr: 6.1558e-05 eta: 3:43:20 time: 0.4105 data_time: 0.0214 memory: 17006 grad_norm: 12.7483 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0628 loss: 1.0628 2022/07/30 14:55:36 - mmengine - INFO - Epoch(train) [172][1620/3757] lr: 6.1558e-05 eta: 3:43:12 time: 0.4127 data_time: 0.0217 memory: 17006 grad_norm: 11.6953 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9430 loss: 0.9430 2022/07/30 14:55:44 - mmengine - INFO - Epoch(train) [172][1640/3757] lr: 6.1558e-05 eta: 3:43:03 time: 0.4081 data_time: 0.0209 memory: 17006 grad_norm: 11.8879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2499 loss: 1.2499 2022/07/30 14:55:52 - mmengine - INFO - Epoch(train) [172][1660/3757] lr: 6.1558e-05 eta: 3:42:55 time: 0.4112 data_time: 0.0223 memory: 17006 grad_norm: 11.9789 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0616 loss: 1.0616 2022/07/30 14:56:01 - mmengine - INFO - Epoch(train) [172][1680/3757] lr: 6.1558e-05 eta: 3:42:47 time: 0.4080 data_time: 0.0216 memory: 17006 grad_norm: 12.0685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9698 loss: 0.9698 2022/07/30 14:56:09 - mmengine - INFO - Epoch(train) [172][1700/3757] lr: 6.1558e-05 eta: 3:42:38 time: 0.4084 data_time: 0.0238 memory: 17006 grad_norm: 12.3648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0284 loss: 1.0284 2022/07/30 14:56:17 - mmengine - INFO - Epoch(train) [172][1720/3757] lr: 6.1558e-05 eta: 3:42:30 time: 0.4188 data_time: 0.0220 memory: 17006 grad_norm: 11.8028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9822 loss: 0.9822 2022/07/30 14:56:25 - mmengine - INFO - Epoch(train) [172][1740/3757] lr: 6.1558e-05 eta: 3:42:22 time: 0.4084 data_time: 0.0223 memory: 17006 grad_norm: 11.8579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3483 loss: 1.3483 2022/07/30 14:56:34 - mmengine - INFO - Epoch(train) [172][1760/3757] lr: 6.1558e-05 eta: 3:42:13 time: 0.4148 data_time: 0.0229 memory: 17006 grad_norm: 11.9426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1123 loss: 1.1123 2022/07/30 14:56:42 - mmengine - INFO - Epoch(train) [172][1780/3757] lr: 6.1558e-05 eta: 3:42:05 time: 0.4078 data_time: 0.0219 memory: 17006 grad_norm: 12.6631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/07/30 14:56:50 - mmengine - INFO - Epoch(train) [172][1800/3757] lr: 6.1558e-05 eta: 3:41:57 time: 0.4079 data_time: 0.0211 memory: 17006 grad_norm: 12.4558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2414 loss: 1.2414 2022/07/30 14:56:58 - mmengine - INFO - Epoch(train) [172][1820/3757] lr: 6.1558e-05 eta: 3:41:48 time: 0.4161 data_time: 0.0225 memory: 17006 grad_norm: 12.0953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0438 loss: 1.0438 2022/07/30 14:57:07 - mmengine - INFO - Epoch(train) [172][1840/3757] lr: 6.1558e-05 eta: 3:41:40 time: 0.4102 data_time: 0.0213 memory: 17006 grad_norm: 12.0104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1553 loss: 1.1553 2022/07/30 14:57:15 - mmengine - INFO - Epoch(train) [172][1860/3757] lr: 6.1558e-05 eta: 3:41:32 time: 0.4090 data_time: 0.0218 memory: 17006 grad_norm: 12.8806 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1259 loss: 1.1259 2022/07/30 14:57:23 - mmengine - INFO - Epoch(train) [172][1880/3757] lr: 6.1558e-05 eta: 3:41:23 time: 0.4111 data_time: 0.0216 memory: 17006 grad_norm: 12.4094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9871 loss: 0.9871 2022/07/30 14:57:31 - mmengine - INFO - Epoch(train) [172][1900/3757] lr: 6.1558e-05 eta: 3:41:15 time: 0.4078 data_time: 0.0214 memory: 17006 grad_norm: 11.9932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9775 loss: 0.9775 2022/07/30 14:57:40 - mmengine - INFO - Epoch(train) [172][1920/3757] lr: 6.1558e-05 eta: 3:41:06 time: 0.4086 data_time: 0.0192 memory: 17006 grad_norm: 11.9482 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9603 loss: 0.9603 2022/07/30 14:57:48 - mmengine - INFO - Epoch(train) [172][1940/3757] lr: 6.1558e-05 eta: 3:40:58 time: 0.4093 data_time: 0.0208 memory: 17006 grad_norm: 12.1076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0919 loss: 1.0919 2022/07/30 14:57:56 - mmengine - INFO - Epoch(train) [172][1960/3757] lr: 6.1558e-05 eta: 3:40:50 time: 0.4152 data_time: 0.0228 memory: 17006 grad_norm: 11.4667 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9246 loss: 0.9246 2022/07/30 14:58:04 - mmengine - INFO - Epoch(train) [172][1980/3757] lr: 6.1558e-05 eta: 3:40:41 time: 0.4126 data_time: 0.0216 memory: 17006 grad_norm: 11.8775 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1568 loss: 1.1568 2022/07/30 14:58:13 - mmengine - INFO - Epoch(train) [172][2000/3757] lr: 6.1558e-05 eta: 3:40:33 time: 0.4220 data_time: 0.0225 memory: 17006 grad_norm: 11.6207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9655 loss: 0.9655 2022/07/30 14:58:21 - mmengine - INFO - Epoch(train) [172][2020/3757] lr: 6.1558e-05 eta: 3:40:25 time: 0.4075 data_time: 0.0219 memory: 17006 grad_norm: 11.6660 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2123 loss: 1.2123 2022/07/30 14:58:29 - mmengine - INFO - Epoch(train) [172][2040/3757] lr: 6.1558e-05 eta: 3:40:17 time: 0.4102 data_time: 0.0206 memory: 17006 grad_norm: 12.5446 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3896 loss: 1.3896 2022/07/30 14:58:37 - mmengine - INFO - Epoch(train) [172][2060/3757] lr: 6.1558e-05 eta: 3:40:08 time: 0.4098 data_time: 0.0233 memory: 17006 grad_norm: 12.0258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8596 loss: 0.8596 2022/07/30 14:58:46 - mmengine - INFO - Epoch(train) [172][2080/3757] lr: 6.1558e-05 eta: 3:40:00 time: 0.4154 data_time: 0.0221 memory: 17006 grad_norm: 12.2023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9191 loss: 0.9191 2022/07/30 14:58:54 - mmengine - INFO - Epoch(train) [172][2100/3757] lr: 6.1558e-05 eta: 3:39:52 time: 0.4087 data_time: 0.0215 memory: 17006 grad_norm: 12.0699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1874 loss: 1.1874 2022/07/30 14:59:02 - mmengine - INFO - Epoch(train) [172][2120/3757] lr: 6.1558e-05 eta: 3:39:43 time: 0.4133 data_time: 0.0212 memory: 17006 grad_norm: 11.6849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0230 loss: 1.0230 2022/07/30 14:59:10 - mmengine - INFO - Epoch(train) [172][2140/3757] lr: 6.1558e-05 eta: 3:39:35 time: 0.4069 data_time: 0.0209 memory: 17006 grad_norm: 12.7846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0801 loss: 1.0801 2022/07/30 14:59:19 - mmengine - INFO - Epoch(train) [172][2160/3757] lr: 6.1558e-05 eta: 3:39:27 time: 0.4149 data_time: 0.0223 memory: 17006 grad_norm: 12.3745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2865 loss: 1.2865 2022/07/30 14:59:27 - mmengine - INFO - Epoch(train) [172][2180/3757] lr: 6.1558e-05 eta: 3:39:18 time: 0.4139 data_time: 0.0222 memory: 17006 grad_norm: 12.8009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1273 loss: 1.1273 2022/07/30 14:59:35 - mmengine - INFO - Epoch(train) [172][2200/3757] lr: 6.1558e-05 eta: 3:39:10 time: 0.4130 data_time: 0.0222 memory: 17006 grad_norm: 11.9742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1634 loss: 1.1634 2022/07/30 14:59:45 - mmengine - INFO - Epoch(train) [172][2220/3757] lr: 6.1558e-05 eta: 3:39:02 time: 0.4542 data_time: 0.0215 memory: 17006 grad_norm: 12.3186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1147 loss: 1.1147 2022/07/30 14:59:53 - mmengine - INFO - Epoch(train) [172][2240/3757] lr: 6.1558e-05 eta: 3:38:53 time: 0.4073 data_time: 0.0222 memory: 17006 grad_norm: 12.3925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3212 loss: 1.3212 2022/07/30 15:00:01 - mmengine - INFO - Epoch(train) [172][2260/3757] lr: 6.1558e-05 eta: 3:38:45 time: 0.4077 data_time: 0.0217 memory: 17006 grad_norm: 12.0777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2884 loss: 1.2884 2022/07/30 15:00:09 - mmengine - INFO - Epoch(train) [172][2280/3757] lr: 6.1558e-05 eta: 3:38:37 time: 0.4191 data_time: 0.0208 memory: 17006 grad_norm: 12.0518 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9642 loss: 0.9642 2022/07/30 15:00:18 - mmengine - INFO - Epoch(train) [172][2300/3757] lr: 6.1558e-05 eta: 3:38:28 time: 0.4105 data_time: 0.0223 memory: 17006 grad_norm: 11.6672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1144 loss: 1.1144 2022/07/30 15:00:26 - mmengine - INFO - Epoch(train) [172][2320/3757] lr: 6.1558e-05 eta: 3:38:20 time: 0.4359 data_time: 0.0211 memory: 17006 grad_norm: 12.6076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1775 loss: 1.1775 2022/07/30 15:00:35 - mmengine - INFO - Epoch(train) [172][2340/3757] lr: 6.1558e-05 eta: 3:38:12 time: 0.4097 data_time: 0.0214 memory: 17006 grad_norm: 12.2516 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0552 loss: 1.0552 2022/07/30 15:00:43 - mmengine - INFO - Epoch(train) [172][2360/3757] lr: 6.1558e-05 eta: 3:38:03 time: 0.4147 data_time: 0.0220 memory: 17006 grad_norm: 12.3765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0670 loss: 1.0670 2022/07/30 15:00:51 - mmengine - INFO - Epoch(train) [172][2380/3757] lr: 6.1558e-05 eta: 3:37:55 time: 0.4079 data_time: 0.0217 memory: 17006 grad_norm: 12.1925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/07/30 15:00:59 - mmengine - INFO - Epoch(train) [172][2400/3757] lr: 6.1558e-05 eta: 3:37:47 time: 0.4072 data_time: 0.0201 memory: 17006 grad_norm: 12.6981 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2161 loss: 1.2161 2022/07/30 15:01:08 - mmengine - INFO - Epoch(train) [172][2420/3757] lr: 6.1558e-05 eta: 3:37:38 time: 0.4224 data_time: 0.0229 memory: 17006 grad_norm: 11.7067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1688 loss: 1.1688 2022/07/30 15:01:16 - mmengine - INFO - Epoch(train) [172][2440/3757] lr: 6.1558e-05 eta: 3:37:30 time: 0.4332 data_time: 0.0235 memory: 17006 grad_norm: 12.4080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0755 loss: 1.0755 2022/07/30 15:01:25 - mmengine - INFO - Epoch(train) [172][2460/3757] lr: 6.1558e-05 eta: 3:37:22 time: 0.4048 data_time: 0.0201 memory: 17006 grad_norm: 11.9431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/07/30 15:01:33 - mmengine - INFO - Epoch(train) [172][2480/3757] lr: 6.1558e-05 eta: 3:37:13 time: 0.4155 data_time: 0.0241 memory: 17006 grad_norm: 12.4471 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9768 loss: 0.9768 2022/07/30 15:01:41 - mmengine - INFO - Epoch(train) [172][2500/3757] lr: 6.1558e-05 eta: 3:37:05 time: 0.4062 data_time: 0.0205 memory: 17006 grad_norm: 12.0420 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0125 loss: 1.0125 2022/07/30 15:01:49 - mmengine - INFO - Epoch(train) [172][2520/3757] lr: 6.1558e-05 eta: 3:36:57 time: 0.4158 data_time: 0.0209 memory: 17006 grad_norm: 12.3420 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8701 loss: 0.8701 2022/07/30 15:01:58 - mmengine - INFO - Epoch(train) [172][2540/3757] lr: 6.1558e-05 eta: 3:36:49 time: 0.4301 data_time: 0.0235 memory: 17006 grad_norm: 12.2787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0263 loss: 1.0263 2022/07/30 15:02:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:02:06 - mmengine - INFO - Epoch(train) [172][2560/3757] lr: 6.1558e-05 eta: 3:36:40 time: 0.4210 data_time: 0.0208 memory: 17006 grad_norm: 12.1174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9591 loss: 0.9591 2022/07/30 15:02:15 - mmengine - INFO - Epoch(train) [172][2580/3757] lr: 6.1558e-05 eta: 3:36:32 time: 0.4200 data_time: 0.0234 memory: 17006 grad_norm: 11.7492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8072 loss: 0.8072 2022/07/30 15:02:23 - mmengine - INFO - Epoch(train) [172][2600/3757] lr: 6.1558e-05 eta: 3:36:24 time: 0.4120 data_time: 0.0216 memory: 17006 grad_norm: 11.9037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9268 loss: 0.9268 2022/07/30 15:02:31 - mmengine - INFO - Epoch(train) [172][2620/3757] lr: 6.1558e-05 eta: 3:36:15 time: 0.4078 data_time: 0.0212 memory: 17006 grad_norm: 12.1988 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9313 loss: 0.9313 2022/07/30 15:02:40 - mmengine - INFO - Epoch(train) [172][2640/3757] lr: 6.1558e-05 eta: 3:36:07 time: 0.4128 data_time: 0.0204 memory: 17006 grad_norm: 11.7823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9677 loss: 0.9677 2022/07/30 15:02:48 - mmengine - INFO - Epoch(train) [172][2660/3757] lr: 6.1558e-05 eta: 3:35:59 time: 0.4088 data_time: 0.0210 memory: 17006 grad_norm: 11.8190 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0427 loss: 1.0427 2022/07/30 15:02:56 - mmengine - INFO - Epoch(train) [172][2680/3757] lr: 6.1558e-05 eta: 3:35:50 time: 0.4238 data_time: 0.0223 memory: 17006 grad_norm: 12.3862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3389 loss: 1.3389 2022/07/30 15:03:05 - mmengine - INFO - Epoch(train) [172][2700/3757] lr: 6.1558e-05 eta: 3:35:42 time: 0.4070 data_time: 0.0215 memory: 17006 grad_norm: 13.2027 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3286 loss: 1.3286 2022/07/30 15:03:13 - mmengine - INFO - Epoch(train) [172][2720/3757] lr: 6.1558e-05 eta: 3:35:34 time: 0.4165 data_time: 0.0229 memory: 17006 grad_norm: 12.2785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9373 loss: 0.9373 2022/07/30 15:03:21 - mmengine - INFO - Epoch(train) [172][2740/3757] lr: 6.1558e-05 eta: 3:35:25 time: 0.4081 data_time: 0.0216 memory: 17006 grad_norm: 11.9021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0479 loss: 1.0479 2022/07/30 15:03:30 - mmengine - INFO - Epoch(train) [172][2760/3757] lr: 6.1558e-05 eta: 3:35:17 time: 0.4183 data_time: 0.0207 memory: 17006 grad_norm: 11.6922 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2323 loss: 1.2323 2022/07/30 15:03:38 - mmengine - INFO - Epoch(train) [172][2780/3757] lr: 6.1558e-05 eta: 3:35:09 time: 0.4135 data_time: 0.0220 memory: 17006 grad_norm: 12.5340 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/07/30 15:03:46 - mmengine - INFO - Epoch(train) [172][2800/3757] lr: 6.1558e-05 eta: 3:35:00 time: 0.4087 data_time: 0.0221 memory: 17006 grad_norm: 12.4957 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0363 loss: 1.0363 2022/07/30 15:03:55 - mmengine - INFO - Epoch(train) [172][2820/3757] lr: 6.1558e-05 eta: 3:34:52 time: 0.4331 data_time: 0.0208 memory: 17006 grad_norm: 12.3492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1763 loss: 1.1763 2022/07/30 15:04:03 - mmengine - INFO - Epoch(train) [172][2840/3757] lr: 6.1558e-05 eta: 3:34:44 time: 0.4071 data_time: 0.0218 memory: 17006 grad_norm: 12.1724 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2955 loss: 1.2955 2022/07/30 15:04:11 - mmengine - INFO - Epoch(train) [172][2860/3757] lr: 6.1558e-05 eta: 3:34:35 time: 0.4062 data_time: 0.0193 memory: 17006 grad_norm: 12.3605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0959 loss: 1.0959 2022/07/30 15:04:20 - mmengine - INFO - Epoch(train) [172][2880/3757] lr: 6.1558e-05 eta: 3:34:27 time: 0.4509 data_time: 0.0221 memory: 17006 grad_norm: 12.2961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1040 loss: 1.1040 2022/07/30 15:04:28 - mmengine - INFO - Epoch(train) [172][2900/3757] lr: 6.1558e-05 eta: 3:34:19 time: 0.4087 data_time: 0.0215 memory: 17006 grad_norm: 12.3838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0619 loss: 1.0619 2022/07/30 15:04:37 - mmengine - INFO - Epoch(train) [172][2920/3757] lr: 6.1558e-05 eta: 3:34:10 time: 0.4288 data_time: 0.0233 memory: 17006 grad_norm: 12.7023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3783 loss: 1.3783 2022/07/30 15:04:45 - mmengine - INFO - Epoch(train) [172][2940/3757] lr: 6.1558e-05 eta: 3:34:02 time: 0.4088 data_time: 0.0213 memory: 17006 grad_norm: 11.4735 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0911 loss: 1.0911 2022/07/30 15:04:54 - mmengine - INFO - Epoch(train) [172][2960/3757] lr: 6.1558e-05 eta: 3:33:54 time: 0.4407 data_time: 0.0224 memory: 17006 grad_norm: 13.0233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2908 loss: 1.2908 2022/07/30 15:05:02 - mmengine - INFO - Epoch(train) [172][2980/3757] lr: 6.1558e-05 eta: 3:33:46 time: 0.4067 data_time: 0.0207 memory: 17006 grad_norm: 11.4765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8911 loss: 0.8911 2022/07/30 15:05:10 - mmengine - INFO - Epoch(train) [172][3000/3757] lr: 6.1558e-05 eta: 3:33:37 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 12.6604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0799 loss: 1.0799 2022/07/30 15:05:19 - mmengine - INFO - Epoch(train) [172][3020/3757] lr: 6.1558e-05 eta: 3:33:29 time: 0.4222 data_time: 0.0261 memory: 17006 grad_norm: 12.2099 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9146 loss: 0.9146 2022/07/30 15:05:27 - mmengine - INFO - Epoch(train) [172][3040/3757] lr: 6.1558e-05 eta: 3:33:21 time: 0.4102 data_time: 0.0218 memory: 17006 grad_norm: 12.1199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/07/30 15:05:36 - mmengine - INFO - Epoch(train) [172][3060/3757] lr: 6.1558e-05 eta: 3:33:12 time: 0.4243 data_time: 0.0227 memory: 17006 grad_norm: 12.9397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0932 loss: 1.0932 2022/07/30 15:05:44 - mmengine - INFO - Epoch(train) [172][3080/3757] lr: 6.1558e-05 eta: 3:33:04 time: 0.4098 data_time: 0.0213 memory: 17006 grad_norm: 12.2139 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9421 loss: 0.9421 2022/07/30 15:05:52 - mmengine - INFO - Epoch(train) [172][3100/3757] lr: 6.1558e-05 eta: 3:32:56 time: 0.4075 data_time: 0.0216 memory: 17006 grad_norm: 11.9433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9902 loss: 0.9902 2022/07/30 15:06:00 - mmengine - INFO - Epoch(train) [172][3120/3757] lr: 6.1558e-05 eta: 3:32:47 time: 0.4156 data_time: 0.0289 memory: 17006 grad_norm: 11.7460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8028 loss: 0.8028 2022/07/30 15:06:08 - mmengine - INFO - Epoch(train) [172][3140/3757] lr: 6.1558e-05 eta: 3:32:39 time: 0.4071 data_time: 0.0212 memory: 17006 grad_norm: 11.5554 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1104 loss: 1.1104 2022/07/30 15:06:17 - mmengine - INFO - Epoch(train) [172][3160/3757] lr: 6.1558e-05 eta: 3:32:31 time: 0.4215 data_time: 0.0223 memory: 17006 grad_norm: 12.4225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1761 loss: 1.1761 2022/07/30 15:06:25 - mmengine - INFO - Epoch(train) [172][3180/3757] lr: 6.1558e-05 eta: 3:32:22 time: 0.4065 data_time: 0.0200 memory: 17006 grad_norm: 12.2266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2127 loss: 1.2127 2022/07/30 15:06:34 - mmengine - INFO - Epoch(train) [172][3200/3757] lr: 6.1558e-05 eta: 3:32:14 time: 0.4521 data_time: 0.0225 memory: 17006 grad_norm: 12.6283 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2744 loss: 1.2744 2022/07/30 15:06:42 - mmengine - INFO - Epoch(train) [172][3220/3757] lr: 6.1558e-05 eta: 3:32:06 time: 0.4063 data_time: 0.0212 memory: 17006 grad_norm: 12.3110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3706 loss: 1.3706 2022/07/30 15:06:50 - mmengine - INFO - Epoch(train) [172][3240/3757] lr: 6.1558e-05 eta: 3:31:57 time: 0.4067 data_time: 0.0212 memory: 17006 grad_norm: 12.2403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3080 loss: 1.3080 2022/07/30 15:06:59 - mmengine - INFO - Epoch(train) [172][3260/3757] lr: 6.1558e-05 eta: 3:31:49 time: 0.4256 data_time: 0.0223 memory: 17006 grad_norm: 12.4972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9384 loss: 0.9384 2022/07/30 15:07:07 - mmengine - INFO - Epoch(train) [172][3280/3757] lr: 6.1558e-05 eta: 3:31:41 time: 0.4058 data_time: 0.0210 memory: 17006 grad_norm: 12.5590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0149 loss: 1.0149 2022/07/30 15:07:16 - mmengine - INFO - Epoch(train) [172][3300/3757] lr: 6.1558e-05 eta: 3:31:32 time: 0.4558 data_time: 0.0219 memory: 17006 grad_norm: 12.6769 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9650 loss: 0.9650 2022/07/30 15:07:25 - mmengine - INFO - Epoch(train) [172][3320/3757] lr: 6.1558e-05 eta: 3:31:24 time: 0.4074 data_time: 0.0217 memory: 17006 grad_norm: 12.3854 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9131 loss: 0.9131 2022/07/30 15:07:33 - mmengine - INFO - Epoch(train) [172][3340/3757] lr: 6.1558e-05 eta: 3:31:16 time: 0.4448 data_time: 0.0231 memory: 17006 grad_norm: 12.0686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9087 loss: 0.9087 2022/07/30 15:07:42 - mmengine - INFO - Epoch(train) [172][3360/3757] lr: 6.1558e-05 eta: 3:31:08 time: 0.4074 data_time: 0.0205 memory: 17006 grad_norm: 12.5464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1675 loss: 1.1675 2022/07/30 15:07:50 - mmengine - INFO - Epoch(train) [172][3380/3757] lr: 6.1558e-05 eta: 3:30:59 time: 0.4068 data_time: 0.0204 memory: 17006 grad_norm: 11.6897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2977 loss: 1.2977 2022/07/30 15:07:58 - mmengine - INFO - Epoch(train) [172][3400/3757] lr: 6.1558e-05 eta: 3:30:51 time: 0.4218 data_time: 0.0231 memory: 17006 grad_norm: 11.6121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3140 loss: 1.3140 2022/07/30 15:08:07 - mmengine - INFO - Epoch(train) [172][3420/3757] lr: 6.1558e-05 eta: 3:30:43 time: 0.4347 data_time: 0.0215 memory: 17006 grad_norm: 12.4822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1171 loss: 1.1171 2022/07/30 15:08:15 - mmengine - INFO - Epoch(train) [172][3440/3757] lr: 6.1558e-05 eta: 3:30:34 time: 0.4221 data_time: 0.0220 memory: 17006 grad_norm: 12.5827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/07/30 15:08:24 - mmengine - INFO - Epoch(train) [172][3460/3757] lr: 6.1558e-05 eta: 3:30:26 time: 0.4092 data_time: 0.0208 memory: 17006 grad_norm: 12.1779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2232 loss: 1.2232 2022/07/30 15:08:32 - mmengine - INFO - Epoch(train) [172][3480/3757] lr: 6.1558e-05 eta: 3:30:18 time: 0.4077 data_time: 0.0207 memory: 17006 grad_norm: 12.1237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0482 loss: 1.0482 2022/07/30 15:08:40 - mmengine - INFO - Epoch(train) [172][3500/3757] lr: 6.1558e-05 eta: 3:30:09 time: 0.4197 data_time: 0.0246 memory: 17006 grad_norm: 12.1408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2800 loss: 1.2800 2022/07/30 15:08:49 - mmengine - INFO - Epoch(train) [172][3520/3757] lr: 6.1558e-05 eta: 3:30:01 time: 0.4146 data_time: 0.0219 memory: 17006 grad_norm: 12.1752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/07/30 15:08:57 - mmengine - INFO - Epoch(train) [172][3540/3757] lr: 6.1558e-05 eta: 3:29:53 time: 0.4230 data_time: 0.0278 memory: 17006 grad_norm: 12.2443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1689 loss: 1.1689 2022/07/30 15:09:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:09:06 - mmengine - INFO - Epoch(train) [172][3560/3757] lr: 6.1558e-05 eta: 3:29:44 time: 0.4226 data_time: 0.0197 memory: 17006 grad_norm: 11.6471 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0824 loss: 1.0824 2022/07/30 15:09:14 - mmengine - INFO - Epoch(train) [172][3580/3757] lr: 6.1558e-05 eta: 3:29:36 time: 0.4157 data_time: 0.0233 memory: 17006 grad_norm: 12.0366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2986 loss: 1.2986 2022/07/30 15:09:22 - mmengine - INFO - Epoch(train) [172][3600/3757] lr: 6.1558e-05 eta: 3:29:28 time: 0.4070 data_time: 0.0207 memory: 17006 grad_norm: 12.1664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0664 loss: 1.0664 2022/07/30 15:09:30 - mmengine - INFO - Epoch(train) [172][3620/3757] lr: 6.1558e-05 eta: 3:29:19 time: 0.4074 data_time: 0.0208 memory: 17006 grad_norm: 12.0606 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2669 loss: 1.2669 2022/07/30 15:09:39 - mmengine - INFO - Epoch(train) [172][3640/3757] lr: 6.1558e-05 eta: 3:29:11 time: 0.4446 data_time: 0.0263 memory: 17006 grad_norm: 12.0061 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0329 loss: 1.0329 2022/07/30 15:09:47 - mmengine - INFO - Epoch(train) [172][3660/3757] lr: 6.1558e-05 eta: 3:29:03 time: 0.4083 data_time: 0.0209 memory: 17006 grad_norm: 12.0986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9531 loss: 0.9531 2022/07/30 15:09:56 - mmengine - INFO - Epoch(train) [172][3680/3757] lr: 6.1558e-05 eta: 3:28:55 time: 0.4166 data_time: 0.0225 memory: 17006 grad_norm: 11.8069 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0538 loss: 1.0538 2022/07/30 15:10:04 - mmengine - INFO - Epoch(train) [172][3700/3757] lr: 6.1558e-05 eta: 3:28:46 time: 0.4094 data_time: 0.0211 memory: 17006 grad_norm: 12.4048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0119 loss: 1.0119 2022/07/30 15:10:12 - mmengine - INFO - Epoch(train) [172][3720/3757] lr: 6.1558e-05 eta: 3:28:38 time: 0.4074 data_time: 0.0211 memory: 17006 grad_norm: 12.0701 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0091 loss: 1.0091 2022/07/30 15:10:21 - mmengine - INFO - Epoch(train) [172][3740/3757] lr: 6.1558e-05 eta: 3:28:30 time: 0.4170 data_time: 0.0222 memory: 17006 grad_norm: 12.2292 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3447 loss: 1.3447 2022/07/30 15:10:27 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:10:27 - mmengine - INFO - Epoch(train) [172][3757/3757] lr: 6.1558e-05 eta: 3:28:30 time: 0.4071 data_time: 0.0204 memory: 17006 grad_norm: 12.1422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1563 loss: 1.1563 2022/07/30 15:10:28 - mmengine - INFO - Saving checkpoint at 172 epochs 2022/07/30 15:10:43 - mmengine - INFO - Epoch(train) [173][20/3757] lr: 4.8660e-05 eta: 3:28:13 time: 0.4742 data_time: 0.0845 memory: 17006 grad_norm: 11.8408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8692 loss: 0.8692 2022/07/30 15:10:51 - mmengine - INFO - Epoch(train) [173][40/3757] lr: 4.8660e-05 eta: 3:28:05 time: 0.4081 data_time: 0.0214 memory: 17006 grad_norm: 12.8640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4039 loss: 1.4039 2022/07/30 15:11:00 - mmengine - INFO - Epoch(train) [173][60/3757] lr: 4.8660e-05 eta: 3:27:57 time: 0.4189 data_time: 0.0184 memory: 17006 grad_norm: 12.8704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0993 loss: 1.0993 2022/07/30 15:11:08 - mmengine - INFO - Epoch(train) [173][80/3757] lr: 4.8660e-05 eta: 3:27:48 time: 0.4112 data_time: 0.0206 memory: 17006 grad_norm: 12.3314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1079 loss: 1.1079 2022/07/30 15:11:16 - mmengine - INFO - Epoch(train) [173][100/3757] lr: 4.8660e-05 eta: 3:27:40 time: 0.4320 data_time: 0.0187 memory: 17006 grad_norm: 12.5094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1627 loss: 1.1627 2022/07/30 15:11:25 - mmengine - INFO - Epoch(train) [173][120/3757] lr: 4.8660e-05 eta: 3:27:32 time: 0.4140 data_time: 0.0225 memory: 17006 grad_norm: 12.6092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1935 loss: 1.1935 2022/07/30 15:11:33 - mmengine - INFO - Epoch(train) [173][140/3757] lr: 4.8660e-05 eta: 3:27:23 time: 0.4309 data_time: 0.0189 memory: 17006 grad_norm: 12.4011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2690 loss: 1.2690 2022/07/30 15:11:42 - mmengine - INFO - Epoch(train) [173][160/3757] lr: 4.8660e-05 eta: 3:27:15 time: 0.4078 data_time: 0.0217 memory: 17006 grad_norm: 12.3188 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8268 loss: 0.8268 2022/07/30 15:11:50 - mmengine - INFO - Epoch(train) [173][180/3757] lr: 4.8660e-05 eta: 3:27:07 time: 0.4155 data_time: 0.0198 memory: 17006 grad_norm: 11.7594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1177 loss: 1.1177 2022/07/30 15:11:58 - mmengine - INFO - Epoch(train) [173][200/3757] lr: 4.8660e-05 eta: 3:26:58 time: 0.4153 data_time: 0.0220 memory: 17006 grad_norm: 12.3217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4012 loss: 1.4012 2022/07/30 15:12:07 - mmengine - INFO - Epoch(train) [173][220/3757] lr: 4.8660e-05 eta: 3:26:50 time: 0.4101 data_time: 0.0204 memory: 17006 grad_norm: 11.8970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9619 loss: 0.9619 2022/07/30 15:12:15 - mmengine - INFO - Epoch(train) [173][240/3757] lr: 4.8660e-05 eta: 3:26:42 time: 0.4285 data_time: 0.0202 memory: 17006 grad_norm: 12.1957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9765 loss: 0.9765 2022/07/30 15:12:23 - mmengine - INFO - Epoch(train) [173][260/3757] lr: 4.8660e-05 eta: 3:26:33 time: 0.4064 data_time: 0.0203 memory: 17006 grad_norm: 12.1416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2565 loss: 1.2565 2022/07/30 15:12:32 - mmengine - INFO - Epoch(train) [173][280/3757] lr: 4.8660e-05 eta: 3:26:25 time: 0.4122 data_time: 0.0216 memory: 17006 grad_norm: 11.7197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0042 loss: 1.0042 2022/07/30 15:12:40 - mmengine - INFO - Epoch(train) [173][300/3757] lr: 4.8660e-05 eta: 3:26:17 time: 0.4060 data_time: 0.0202 memory: 17006 grad_norm: 12.4468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9378 loss: 0.9378 2022/07/30 15:12:48 - mmengine - INFO - Epoch(train) [173][320/3757] lr: 4.8660e-05 eta: 3:26:09 time: 0.4229 data_time: 0.0239 memory: 17006 grad_norm: 12.2527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1580 loss: 1.1580 2022/07/30 15:12:56 - mmengine - INFO - Epoch(train) [173][340/3757] lr: 4.8660e-05 eta: 3:26:00 time: 0.4063 data_time: 0.0178 memory: 17006 grad_norm: 12.5280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0337 loss: 1.0337 2022/07/30 15:13:05 - mmengine - INFO - Epoch(train) [173][360/3757] lr: 4.8660e-05 eta: 3:25:52 time: 0.4139 data_time: 0.0223 memory: 17006 grad_norm: 12.7830 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1732 loss: 1.1732 2022/07/30 15:13:13 - mmengine - INFO - Epoch(train) [173][380/3757] lr: 4.8660e-05 eta: 3:25:43 time: 0.4053 data_time: 0.0199 memory: 17006 grad_norm: 12.6474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0441 loss: 1.0441 2022/07/30 15:13:21 - mmengine - INFO - Epoch(train) [173][400/3757] lr: 4.8660e-05 eta: 3:25:35 time: 0.4063 data_time: 0.0209 memory: 17006 grad_norm: 11.6120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6971 loss: 0.6971 2022/07/30 15:13:29 - mmengine - INFO - Epoch(train) [173][420/3757] lr: 4.8660e-05 eta: 3:25:27 time: 0.4219 data_time: 0.0196 memory: 17006 grad_norm: 11.5434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1611 loss: 1.1611 2022/07/30 15:13:38 - mmengine - INFO - Epoch(train) [173][440/3757] lr: 4.8660e-05 eta: 3:25:19 time: 0.4102 data_time: 0.0219 memory: 17006 grad_norm: 12.6182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2147 loss: 1.2147 2022/07/30 15:13:46 - mmengine - INFO - Epoch(train) [173][460/3757] lr: 4.8660e-05 eta: 3:25:10 time: 0.4131 data_time: 0.0209 memory: 17006 grad_norm: 12.9905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9564 loss: 0.9564 2022/07/30 15:13:54 - mmengine - INFO - Epoch(train) [173][480/3757] lr: 4.8660e-05 eta: 3:25:02 time: 0.4183 data_time: 0.0238 memory: 17006 grad_norm: 12.0814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0417 loss: 1.0417 2022/07/30 15:14:02 - mmengine - INFO - Epoch(train) [173][500/3757] lr: 4.8660e-05 eta: 3:24:54 time: 0.4047 data_time: 0.0198 memory: 17006 grad_norm: 12.2043 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0700 loss: 1.0700 2022/07/30 15:14:11 - mmengine - INFO - Epoch(train) [173][520/3757] lr: 4.8660e-05 eta: 3:24:45 time: 0.4090 data_time: 0.0208 memory: 17006 grad_norm: 12.4912 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3502 loss: 1.3502 2022/07/30 15:14:19 - mmengine - INFO - Epoch(train) [173][540/3757] lr: 4.8660e-05 eta: 3:24:37 time: 0.4095 data_time: 0.0202 memory: 17006 grad_norm: 12.1263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1320 loss: 1.1320 2022/07/30 15:14:27 - mmengine - INFO - Epoch(train) [173][560/3757] lr: 4.8660e-05 eta: 3:24:28 time: 0.4084 data_time: 0.0205 memory: 17006 grad_norm: 12.2119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1741 loss: 1.1741 2022/07/30 15:14:36 - mmengine - INFO - Epoch(train) [173][580/3757] lr: 4.8660e-05 eta: 3:24:20 time: 0.4421 data_time: 0.0204 memory: 17006 grad_norm: 12.1543 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0921 loss: 1.0921 2022/07/30 15:14:44 - mmengine - INFO - Epoch(train) [173][600/3757] lr: 4.8660e-05 eta: 3:24:12 time: 0.4101 data_time: 0.0217 memory: 17006 grad_norm: 12.1120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1063 loss: 1.1063 2022/07/30 15:14:52 - mmengine - INFO - Epoch(train) [173][620/3757] lr: 4.8660e-05 eta: 3:24:04 time: 0.4065 data_time: 0.0203 memory: 17006 grad_norm: 12.3158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7535 loss: 0.7535 2022/07/30 15:15:01 - mmengine - INFO - Epoch(train) [173][640/3757] lr: 4.8660e-05 eta: 3:23:55 time: 0.4222 data_time: 0.0231 memory: 17006 grad_norm: 12.4239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2225 loss: 1.2225 2022/07/30 15:15:09 - mmengine - INFO - Epoch(train) [173][660/3757] lr: 4.8660e-05 eta: 3:23:47 time: 0.4193 data_time: 0.0187 memory: 17006 grad_norm: 12.4028 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0979 loss: 1.0979 2022/07/30 15:15:18 - mmengine - INFO - Epoch(train) [173][680/3757] lr: 4.8660e-05 eta: 3:23:39 time: 0.4153 data_time: 0.0233 memory: 17006 grad_norm: 12.3244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2074 loss: 1.2074 2022/07/30 15:15:26 - mmengine - INFO - Epoch(train) [173][700/3757] lr: 4.8660e-05 eta: 3:23:30 time: 0.4087 data_time: 0.0189 memory: 17006 grad_norm: 11.8888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4076 loss: 1.4076 2022/07/30 15:15:34 - mmengine - INFO - Epoch(train) [173][720/3757] lr: 4.8660e-05 eta: 3:23:22 time: 0.4169 data_time: 0.0240 memory: 17006 grad_norm: 12.1274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0201 loss: 1.0201 2022/07/30 15:15:42 - mmengine - INFO - Epoch(train) [173][740/3757] lr: 4.8660e-05 eta: 3:23:14 time: 0.4075 data_time: 0.0195 memory: 17006 grad_norm: 12.7738 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2255 loss: 1.2255 2022/07/30 15:15:51 - mmengine - INFO - Epoch(train) [173][760/3757] lr: 4.8660e-05 eta: 3:23:05 time: 0.4243 data_time: 0.0216 memory: 17006 grad_norm: 12.0717 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1086 loss: 1.1086 2022/07/30 15:15:59 - mmengine - INFO - Epoch(train) [173][780/3757] lr: 4.8660e-05 eta: 3:22:57 time: 0.4125 data_time: 0.0200 memory: 17006 grad_norm: 12.3964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1357 loss: 1.1357 2022/07/30 15:16:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:16:08 - mmengine - INFO - Epoch(train) [173][800/3757] lr: 4.8660e-05 eta: 3:22:49 time: 0.4225 data_time: 0.0227 memory: 17006 grad_norm: 13.0153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3241 loss: 1.3241 2022/07/30 15:16:16 - mmengine - INFO - Epoch(train) [173][820/3757] lr: 4.8660e-05 eta: 3:22:40 time: 0.4130 data_time: 0.0199 memory: 17006 grad_norm: 11.5922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1392 loss: 1.1392 2022/07/30 15:16:25 - mmengine - INFO - Epoch(train) [173][840/3757] lr: 4.8660e-05 eta: 3:22:32 time: 0.4302 data_time: 0.0213 memory: 17006 grad_norm: 11.6952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9926 loss: 0.9926 2022/07/30 15:16:33 - mmengine - INFO - Epoch(train) [173][860/3757] lr: 4.8660e-05 eta: 3:22:24 time: 0.4057 data_time: 0.0186 memory: 17006 grad_norm: 12.0241 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1347 loss: 1.1347 2022/07/30 15:16:41 - mmengine - INFO - Epoch(train) [173][880/3757] lr: 4.8660e-05 eta: 3:22:15 time: 0.4131 data_time: 0.0238 memory: 17006 grad_norm: 12.1701 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9846 loss: 0.9846 2022/07/30 15:16:49 - mmengine - INFO - Epoch(train) [173][900/3757] lr: 4.8660e-05 eta: 3:22:07 time: 0.4205 data_time: 0.0188 memory: 17006 grad_norm: 12.4946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1495 loss: 1.1495 2022/07/30 15:16:58 - mmengine - INFO - Epoch(train) [173][920/3757] lr: 4.8660e-05 eta: 3:21:59 time: 0.4123 data_time: 0.0231 memory: 17006 grad_norm: 11.8637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1309 loss: 1.1309 2022/07/30 15:17:06 - mmengine - INFO - Epoch(train) [173][940/3757] lr: 4.8660e-05 eta: 3:21:50 time: 0.4091 data_time: 0.0186 memory: 17006 grad_norm: 12.6944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1782 loss: 1.1782 2022/07/30 15:17:15 - mmengine - INFO - Epoch(train) [173][960/3757] lr: 4.8660e-05 eta: 3:21:42 time: 0.4270 data_time: 0.0238 memory: 17006 grad_norm: 12.0277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0268 loss: 1.0268 2022/07/30 15:17:23 - mmengine - INFO - Epoch(train) [173][980/3757] lr: 4.8660e-05 eta: 3:21:34 time: 0.4070 data_time: 0.0182 memory: 17006 grad_norm: 11.9316 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2033 loss: 1.2033 2022/07/30 15:17:31 - mmengine - INFO - Epoch(train) [173][1000/3757] lr: 4.8660e-05 eta: 3:21:26 time: 0.4151 data_time: 0.0229 memory: 17006 grad_norm: 11.7729 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9555 loss: 0.9555 2022/07/30 15:17:39 - mmengine - INFO - Epoch(train) [173][1020/3757] lr: 4.8660e-05 eta: 3:21:17 time: 0.4089 data_time: 0.0189 memory: 17006 grad_norm: 12.4124 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1978 loss: 1.1978 2022/07/30 15:17:47 - mmengine - INFO - Epoch(train) [173][1040/3757] lr: 4.8660e-05 eta: 3:21:09 time: 0.4097 data_time: 0.0208 memory: 17006 grad_norm: 12.1902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/07/30 15:17:56 - mmengine - INFO - Epoch(train) [173][1060/3757] lr: 4.8660e-05 eta: 3:21:00 time: 0.4068 data_time: 0.0193 memory: 17006 grad_norm: 12.7036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1993 loss: 1.1993 2022/07/30 15:18:04 - mmengine - INFO - Epoch(train) [173][1080/3757] lr: 4.8660e-05 eta: 3:20:52 time: 0.4184 data_time: 0.0206 memory: 17006 grad_norm: 12.6766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2322 loss: 1.2322 2022/07/30 15:18:12 - mmengine - INFO - Epoch(train) [173][1100/3757] lr: 4.8660e-05 eta: 3:20:44 time: 0.4063 data_time: 0.0195 memory: 17006 grad_norm: 12.1607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0289 loss: 1.0289 2022/07/30 15:18:21 - mmengine - INFO - Epoch(train) [173][1120/3757] lr: 4.8660e-05 eta: 3:20:36 time: 0.4289 data_time: 0.0210 memory: 17006 grad_norm: 12.2657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1848 loss: 1.1848 2022/07/30 15:18:29 - mmengine - INFO - Epoch(train) [173][1140/3757] lr: 4.8660e-05 eta: 3:20:27 time: 0.4189 data_time: 0.0207 memory: 17006 grad_norm: 11.8837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0799 loss: 1.0799 2022/07/30 15:18:37 - mmengine - INFO - Epoch(train) [173][1160/3757] lr: 4.8660e-05 eta: 3:20:19 time: 0.4093 data_time: 0.0224 memory: 17006 grad_norm: 12.0696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0942 loss: 1.0942 2022/07/30 15:18:46 - mmengine - INFO - Epoch(train) [173][1180/3757] lr: 4.8660e-05 eta: 3:20:11 time: 0.4455 data_time: 0.0194 memory: 17006 grad_norm: 12.8796 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2058 loss: 1.2058 2022/07/30 15:18:55 - mmengine - INFO - Epoch(train) [173][1200/3757] lr: 4.8660e-05 eta: 3:20:02 time: 0.4071 data_time: 0.0222 memory: 17006 grad_norm: 12.9262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2556 loss: 1.2556 2022/07/30 15:19:03 - mmengine - INFO - Epoch(train) [173][1220/3757] lr: 4.8660e-05 eta: 3:19:54 time: 0.4055 data_time: 0.0203 memory: 17006 grad_norm: 12.1294 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1957 loss: 1.1957 2022/07/30 15:19:11 - mmengine - INFO - Epoch(train) [173][1240/3757] lr: 4.8660e-05 eta: 3:19:46 time: 0.4210 data_time: 0.0224 memory: 17006 grad_norm: 12.1296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/07/30 15:19:19 - mmengine - INFO - Epoch(train) [173][1260/3757] lr: 4.8660e-05 eta: 3:19:37 time: 0.4089 data_time: 0.0192 memory: 17006 grad_norm: 12.4750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1209 loss: 1.1209 2022/07/30 15:19:28 - mmengine - INFO - Epoch(train) [173][1280/3757] lr: 4.8660e-05 eta: 3:19:29 time: 0.4202 data_time: 0.0233 memory: 17006 grad_norm: 12.2516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1044 loss: 1.1044 2022/07/30 15:19:36 - mmengine - INFO - Epoch(train) [173][1300/3757] lr: 4.8660e-05 eta: 3:19:21 time: 0.4074 data_time: 0.0190 memory: 17006 grad_norm: 12.3466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1322 loss: 1.1322 2022/07/30 15:19:44 - mmengine - INFO - Epoch(train) [173][1320/3757] lr: 4.8660e-05 eta: 3:19:12 time: 0.4191 data_time: 0.0228 memory: 17006 grad_norm: 12.4138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0285 loss: 1.0285 2022/07/30 15:19:53 - mmengine - INFO - Epoch(train) [173][1340/3757] lr: 4.8660e-05 eta: 3:19:04 time: 0.4067 data_time: 0.0190 memory: 17006 grad_norm: 11.9105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1345 loss: 1.1345 2022/07/30 15:20:01 - mmengine - INFO - Epoch(train) [173][1360/3757] lr: 4.8660e-05 eta: 3:18:56 time: 0.4083 data_time: 0.0207 memory: 17006 grad_norm: 11.1217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0085 loss: 1.0085 2022/07/30 15:20:09 - mmengine - INFO - Epoch(train) [173][1380/3757] lr: 4.8660e-05 eta: 3:18:47 time: 0.4286 data_time: 0.0227 memory: 17006 grad_norm: 12.1242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0726 loss: 1.0726 2022/07/30 15:20:18 - mmengine - INFO - Epoch(train) [173][1400/3757] lr: 4.8660e-05 eta: 3:18:39 time: 0.4092 data_time: 0.0215 memory: 17006 grad_norm: 11.9159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8628 loss: 0.8628 2022/07/30 15:20:26 - mmengine - INFO - Epoch(train) [173][1420/3757] lr: 4.8660e-05 eta: 3:18:31 time: 0.4184 data_time: 0.0201 memory: 17006 grad_norm: 13.0615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1924 loss: 1.1924 2022/07/30 15:20:34 - mmengine - INFO - Epoch(train) [173][1440/3757] lr: 4.8660e-05 eta: 3:18:22 time: 0.4122 data_time: 0.0209 memory: 17006 grad_norm: 11.8598 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0598 loss: 1.0598 2022/07/30 15:20:42 - mmengine - INFO - Epoch(train) [173][1460/3757] lr: 4.8660e-05 eta: 3:18:14 time: 0.4059 data_time: 0.0181 memory: 17006 grad_norm: 12.3343 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4168 loss: 1.4168 2022/07/30 15:20:51 - mmengine - INFO - Epoch(train) [173][1480/3757] lr: 4.8660e-05 eta: 3:18:06 time: 0.4241 data_time: 0.0226 memory: 17006 grad_norm: 12.8281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2695 loss: 1.2695 2022/07/30 15:20:59 - mmengine - INFO - Epoch(train) [173][1500/3757] lr: 4.8660e-05 eta: 3:17:57 time: 0.4074 data_time: 0.0184 memory: 17006 grad_norm: 12.3002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2104 loss: 1.2104 2022/07/30 15:21:08 - mmengine - INFO - Epoch(train) [173][1520/3757] lr: 4.8660e-05 eta: 3:17:49 time: 0.4334 data_time: 0.0239 memory: 17006 grad_norm: 12.0243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9335 loss: 0.9335 2022/07/30 15:21:16 - mmengine - INFO - Epoch(train) [173][1540/3757] lr: 4.8660e-05 eta: 3:17:41 time: 0.4077 data_time: 0.0195 memory: 17006 grad_norm: 12.2166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1535 loss: 1.1535 2022/07/30 15:21:25 - mmengine - INFO - Epoch(train) [173][1560/3757] lr: 4.8660e-05 eta: 3:17:33 time: 0.4323 data_time: 0.0222 memory: 17006 grad_norm: 12.3725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1586 loss: 1.1586 2022/07/30 15:21:33 - mmengine - INFO - Epoch(train) [173][1580/3757] lr: 4.8660e-05 eta: 3:17:24 time: 0.4055 data_time: 0.0189 memory: 17006 grad_norm: 11.8372 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9052 loss: 0.9052 2022/07/30 15:21:41 - mmengine - INFO - Epoch(train) [173][1600/3757] lr: 4.8660e-05 eta: 3:17:16 time: 0.4078 data_time: 0.0214 memory: 17006 grad_norm: 12.3994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9998 loss: 0.9998 2022/07/30 15:21:49 - mmengine - INFO - Epoch(train) [173][1620/3757] lr: 4.8660e-05 eta: 3:17:08 time: 0.4232 data_time: 0.0196 memory: 17006 grad_norm: 11.9060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2918 loss: 1.2918 2022/07/30 15:21:58 - mmengine - INFO - Epoch(train) [173][1640/3757] lr: 4.8660e-05 eta: 3:16:59 time: 0.4123 data_time: 0.0232 memory: 17006 grad_norm: 12.3592 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1532 loss: 1.1532 2022/07/30 15:22:06 - mmengine - INFO - Epoch(train) [173][1660/3757] lr: 4.8660e-05 eta: 3:16:51 time: 0.4336 data_time: 0.0214 memory: 17006 grad_norm: 11.7442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1359 loss: 1.1359 2022/07/30 15:22:15 - mmengine - INFO - Epoch(train) [173][1680/3757] lr: 4.8660e-05 eta: 3:16:43 time: 0.4063 data_time: 0.0213 memory: 17006 grad_norm: 11.7691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9951 loss: 0.9951 2022/07/30 15:22:23 - mmengine - INFO - Epoch(train) [173][1700/3757] lr: 4.8660e-05 eta: 3:16:34 time: 0.4049 data_time: 0.0181 memory: 17006 grad_norm: 11.9290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0756 loss: 1.0756 2022/07/30 15:22:32 - mmengine - INFO - Epoch(train) [173][1720/3757] lr: 4.8660e-05 eta: 3:16:26 time: 0.4623 data_time: 0.0223 memory: 17006 grad_norm: 12.2523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3436 loss: 1.3436 2022/07/30 15:22:40 - mmengine - INFO - Epoch(train) [173][1740/3757] lr: 4.8660e-05 eta: 3:16:18 time: 0.4079 data_time: 0.0202 memory: 17006 grad_norm: 12.5531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9305 loss: 0.9305 2022/07/30 15:22:50 - mmengine - INFO - Epoch(train) [173][1760/3757] lr: 4.8660e-05 eta: 3:16:10 time: 0.4633 data_time: 0.0231 memory: 17006 grad_norm: 11.6129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1975 loss: 1.1975 2022/07/30 15:22:58 - mmengine - INFO - Epoch(train) [173][1780/3757] lr: 4.8660e-05 eta: 3:16:01 time: 0.4047 data_time: 0.0199 memory: 17006 grad_norm: 11.9677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0581 loss: 1.0581 2022/07/30 15:23:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:23:07 - mmengine - INFO - Epoch(train) [173][1800/3757] lr: 4.8660e-05 eta: 3:15:53 time: 0.4567 data_time: 0.0224 memory: 17006 grad_norm: 12.3232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0927 loss: 1.0927 2022/07/30 15:23:15 - mmengine - INFO - Epoch(train) [173][1820/3757] lr: 4.8660e-05 eta: 3:15:45 time: 0.4055 data_time: 0.0179 memory: 17006 grad_norm: 11.8961 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1854 loss: 1.1854 2022/07/30 15:23:23 - mmengine - INFO - Epoch(train) [173][1840/3757] lr: 4.8660e-05 eta: 3:15:36 time: 0.4077 data_time: 0.0221 memory: 17006 grad_norm: 12.3578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3029 loss: 1.3029 2022/07/30 15:23:32 - mmengine - INFO - Epoch(train) [173][1860/3757] lr: 4.8660e-05 eta: 3:15:28 time: 0.4331 data_time: 0.0208 memory: 17006 grad_norm: 12.0287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9736 loss: 0.9736 2022/07/30 15:23:40 - mmengine - INFO - Epoch(train) [173][1880/3757] lr: 4.8660e-05 eta: 3:15:20 time: 0.4089 data_time: 0.0226 memory: 17006 grad_norm: 12.5217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1762 loss: 1.1762 2022/07/30 15:23:49 - mmengine - INFO - Epoch(train) [173][1900/3757] lr: 4.8660e-05 eta: 3:15:11 time: 0.4553 data_time: 0.0189 memory: 17006 grad_norm: 11.6592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7861 loss: 0.7861 2022/07/30 15:23:57 - mmengine - INFO - Epoch(train) [173][1920/3757] lr: 4.8660e-05 eta: 3:15:03 time: 0.4080 data_time: 0.0222 memory: 17006 grad_norm: 12.3558 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0715 loss: 1.0715 2022/07/30 15:24:06 - mmengine - INFO - Epoch(train) [173][1940/3757] lr: 4.8660e-05 eta: 3:14:55 time: 0.4186 data_time: 0.0198 memory: 17006 grad_norm: 12.4646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1214 loss: 1.1214 2022/07/30 15:24:14 - mmengine - INFO - Epoch(train) [173][1960/3757] lr: 4.8660e-05 eta: 3:14:46 time: 0.4063 data_time: 0.0209 memory: 17006 grad_norm: 12.3662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1670 loss: 1.1670 2022/07/30 15:24:22 - mmengine - INFO - Epoch(train) [173][1980/3757] lr: 4.8660e-05 eta: 3:14:38 time: 0.4055 data_time: 0.0197 memory: 17006 grad_norm: 11.5057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7922 loss: 0.7922 2022/07/30 15:24:30 - mmengine - INFO - Epoch(train) [173][2000/3757] lr: 4.8660e-05 eta: 3:14:30 time: 0.4114 data_time: 0.0228 memory: 17006 grad_norm: 12.4641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2677 loss: 1.2677 2022/07/30 15:24:38 - mmengine - INFO - Epoch(train) [173][2020/3757] lr: 4.8660e-05 eta: 3:14:21 time: 0.4053 data_time: 0.0206 memory: 17006 grad_norm: 12.4927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9281 loss: 0.9281 2022/07/30 15:24:47 - mmengine - INFO - Epoch(train) [173][2040/3757] lr: 4.8660e-05 eta: 3:14:13 time: 0.4178 data_time: 0.0216 memory: 17006 grad_norm: 12.2593 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3990 loss: 1.3990 2022/07/30 15:24:55 - mmengine - INFO - Epoch(train) [173][2060/3757] lr: 4.8660e-05 eta: 3:14:05 time: 0.4049 data_time: 0.0196 memory: 17006 grad_norm: 12.0584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3613 loss: 1.3613 2022/07/30 15:25:03 - mmengine - INFO - Epoch(train) [173][2080/3757] lr: 4.8660e-05 eta: 3:13:56 time: 0.4068 data_time: 0.0206 memory: 17006 grad_norm: 12.2004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8533 loss: 0.8533 2022/07/30 15:25:12 - mmengine - INFO - Epoch(train) [173][2100/3757] lr: 4.8660e-05 eta: 3:13:48 time: 0.4295 data_time: 0.0214 memory: 17006 grad_norm: 11.9463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0238 loss: 1.0238 2022/07/30 15:25:20 - mmengine - INFO - Epoch(train) [173][2120/3757] lr: 4.8660e-05 eta: 3:13:40 time: 0.4093 data_time: 0.0226 memory: 17006 grad_norm: 11.9075 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1029 loss: 1.1029 2022/07/30 15:25:28 - mmengine - INFO - Epoch(train) [173][2140/3757] lr: 4.8660e-05 eta: 3:13:31 time: 0.4128 data_time: 0.0208 memory: 17006 grad_norm: 12.7914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1275 loss: 1.1275 2022/07/30 15:25:37 - mmengine - INFO - Epoch(train) [173][2160/3757] lr: 4.8660e-05 eta: 3:13:23 time: 0.4104 data_time: 0.0217 memory: 17006 grad_norm: 12.0212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2096 loss: 1.2096 2022/07/30 15:25:45 - mmengine - INFO - Epoch(train) [173][2180/3757] lr: 4.8660e-05 eta: 3:13:15 time: 0.4301 data_time: 0.0214 memory: 17006 grad_norm: 11.6252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3273 loss: 1.3273 2022/07/30 15:25:53 - mmengine - INFO - Epoch(train) [173][2200/3757] lr: 4.8660e-05 eta: 3:13:07 time: 0.4070 data_time: 0.0216 memory: 17006 grad_norm: 12.0869 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1016 loss: 1.1016 2022/07/30 15:26:01 - mmengine - INFO - Epoch(train) [173][2220/3757] lr: 4.8660e-05 eta: 3:12:58 time: 0.4067 data_time: 0.0186 memory: 17006 grad_norm: 12.1717 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8478 loss: 0.8478 2022/07/30 15:26:10 - mmengine - INFO - Epoch(train) [173][2240/3757] lr: 4.8660e-05 eta: 3:12:50 time: 0.4278 data_time: 0.0244 memory: 17006 grad_norm: 12.4294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/07/30 15:26:18 - mmengine - INFO - Epoch(train) [173][2260/3757] lr: 4.8660e-05 eta: 3:12:42 time: 0.4128 data_time: 0.0181 memory: 17006 grad_norm: 12.1153 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9296 loss: 0.9296 2022/07/30 15:26:27 - mmengine - INFO - Epoch(train) [173][2280/3757] lr: 4.8660e-05 eta: 3:12:33 time: 0.4189 data_time: 0.0232 memory: 17006 grad_norm: 12.0039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9078 loss: 0.9078 2022/07/30 15:26:35 - mmengine - INFO - Epoch(train) [173][2300/3757] lr: 4.8660e-05 eta: 3:12:25 time: 0.4315 data_time: 0.0197 memory: 17006 grad_norm: 12.0165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2775 loss: 1.2775 2022/07/30 15:26:44 - mmengine - INFO - Epoch(train) [173][2320/3757] lr: 4.8660e-05 eta: 3:12:17 time: 0.4052 data_time: 0.0202 memory: 17006 grad_norm: 12.4818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7274 loss: 0.7274 2022/07/30 15:26:52 - mmengine - INFO - Epoch(train) [173][2340/3757] lr: 4.8660e-05 eta: 3:12:08 time: 0.4220 data_time: 0.0225 memory: 17006 grad_norm: 12.2638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2900 loss: 1.2900 2022/07/30 15:27:00 - mmengine - INFO - Epoch(train) [173][2360/3757] lr: 4.8660e-05 eta: 3:12:00 time: 0.4080 data_time: 0.0232 memory: 17006 grad_norm: 12.8001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1003 loss: 1.1003 2022/07/30 15:27:09 - mmengine - INFO - Epoch(train) [173][2380/3757] lr: 4.8660e-05 eta: 3:11:52 time: 0.4204 data_time: 0.0195 memory: 17006 grad_norm: 12.5144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1448 loss: 1.1448 2022/07/30 15:27:17 - mmengine - INFO - Epoch(train) [173][2400/3757] lr: 4.8660e-05 eta: 3:11:43 time: 0.4088 data_time: 0.0224 memory: 17006 grad_norm: 12.4596 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4813 loss: 1.4813 2022/07/30 15:27:25 - mmengine - INFO - Epoch(train) [173][2420/3757] lr: 4.8660e-05 eta: 3:11:35 time: 0.4155 data_time: 0.0204 memory: 17006 grad_norm: 12.3559 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2893 loss: 1.2893 2022/07/30 15:27:33 - mmengine - INFO - Epoch(train) [173][2440/3757] lr: 4.8660e-05 eta: 3:11:27 time: 0.4086 data_time: 0.0214 memory: 17006 grad_norm: 12.1071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3422 loss: 1.3422 2022/07/30 15:27:42 - mmengine - INFO - Epoch(train) [173][2460/3757] lr: 4.8660e-05 eta: 3:11:18 time: 0.4068 data_time: 0.0184 memory: 17006 grad_norm: 12.0948 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0939 loss: 1.0939 2022/07/30 15:27:50 - mmengine - INFO - Epoch(train) [173][2480/3757] lr: 4.8660e-05 eta: 3:11:10 time: 0.4175 data_time: 0.0217 memory: 17006 grad_norm: 12.9065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9521 loss: 0.9521 2022/07/30 15:27:58 - mmengine - INFO - Epoch(train) [173][2500/3757] lr: 4.8660e-05 eta: 3:11:02 time: 0.4079 data_time: 0.0202 memory: 17006 grad_norm: 12.4455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9097 loss: 0.9097 2022/07/30 15:28:06 - mmengine - INFO - Epoch(train) [173][2520/3757] lr: 4.8660e-05 eta: 3:10:53 time: 0.4133 data_time: 0.0218 memory: 17006 grad_norm: 11.4731 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/07/30 15:28:15 - mmengine - INFO - Epoch(train) [173][2540/3757] lr: 4.8660e-05 eta: 3:10:45 time: 0.4107 data_time: 0.0195 memory: 17006 grad_norm: 12.2872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/07/30 15:28:23 - mmengine - INFO - Epoch(train) [173][2560/3757] lr: 4.8660e-05 eta: 3:10:37 time: 0.4084 data_time: 0.0229 memory: 17006 grad_norm: 12.7289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3849 loss: 1.3849 2022/07/30 15:28:31 - mmengine - INFO - Epoch(train) [173][2580/3757] lr: 4.8660e-05 eta: 3:10:28 time: 0.4170 data_time: 0.0206 memory: 17006 grad_norm: 12.3254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8651 loss: 0.8651 2022/07/30 15:28:40 - mmengine - INFO - Epoch(train) [173][2600/3757] lr: 4.8660e-05 eta: 3:10:20 time: 0.4308 data_time: 0.0205 memory: 17006 grad_norm: 13.3531 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2031 loss: 1.2031 2022/07/30 15:28:48 - mmengine - INFO - Epoch(train) [173][2620/3757] lr: 4.8660e-05 eta: 3:10:12 time: 0.4136 data_time: 0.0210 memory: 17006 grad_norm: 12.2929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3650 loss: 1.3650 2022/07/30 15:28:56 - mmengine - INFO - Epoch(train) [173][2640/3757] lr: 4.8660e-05 eta: 3:10:03 time: 0.4091 data_time: 0.0214 memory: 17006 grad_norm: 11.5685 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0661 loss: 1.0661 2022/07/30 15:29:05 - mmengine - INFO - Epoch(train) [173][2660/3757] lr: 4.8660e-05 eta: 3:09:55 time: 0.4409 data_time: 0.0192 memory: 17006 grad_norm: 11.8731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8956 loss: 0.8956 2022/07/30 15:29:13 - mmengine - INFO - Epoch(train) [173][2680/3757] lr: 4.8660e-05 eta: 3:09:47 time: 0.4059 data_time: 0.0208 memory: 17006 grad_norm: 12.4339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/07/30 15:29:22 - mmengine - INFO - Epoch(train) [173][2700/3757] lr: 4.8660e-05 eta: 3:09:38 time: 0.4062 data_time: 0.0195 memory: 17006 grad_norm: 12.0393 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1005 loss: 1.1005 2022/07/30 15:29:30 - mmengine - INFO - Epoch(train) [173][2720/3757] lr: 4.8660e-05 eta: 3:09:30 time: 0.4382 data_time: 0.0248 memory: 17006 grad_norm: 12.2772 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0872 loss: 1.0872 2022/07/30 15:29:39 - mmengine - INFO - Epoch(train) [173][2740/3757] lr: 4.8660e-05 eta: 3:09:22 time: 0.4062 data_time: 0.0197 memory: 17006 grad_norm: 12.3492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1335 loss: 1.1335 2022/07/30 15:29:47 - mmengine - INFO - Epoch(train) [173][2760/3757] lr: 4.8660e-05 eta: 3:09:14 time: 0.4402 data_time: 0.0250 memory: 17006 grad_norm: 12.1032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1924 loss: 1.1924 2022/07/30 15:29:56 - mmengine - INFO - Epoch(train) [173][2780/3757] lr: 4.8660e-05 eta: 3:09:05 time: 0.4070 data_time: 0.0178 memory: 17006 grad_norm: 12.2097 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9300 loss: 0.9300 2022/07/30 15:30:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:30:04 - mmengine - INFO - Epoch(train) [173][2800/3757] lr: 4.8660e-05 eta: 3:08:57 time: 0.4090 data_time: 0.0229 memory: 17006 grad_norm: 12.3755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2843 loss: 1.2843 2022/07/30 15:30:13 - mmengine - INFO - Epoch(train) [173][2820/3757] lr: 4.8660e-05 eta: 3:08:49 time: 0.4373 data_time: 0.0198 memory: 17006 grad_norm: 11.8343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/07/30 15:30:21 - mmengine - INFO - Epoch(train) [173][2840/3757] lr: 4.8660e-05 eta: 3:08:40 time: 0.4077 data_time: 0.0215 memory: 17006 grad_norm: 12.9125 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1083 loss: 1.1083 2022/07/30 15:30:29 - mmengine - INFO - Epoch(train) [173][2860/3757] lr: 4.8660e-05 eta: 3:08:32 time: 0.4246 data_time: 0.0219 memory: 17006 grad_norm: 12.4341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1479 loss: 1.1479 2022/07/30 15:30:37 - mmengine - INFO - Epoch(train) [173][2880/3757] lr: 4.8660e-05 eta: 3:08:24 time: 0.4076 data_time: 0.0217 memory: 17006 grad_norm: 12.6055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4292 loss: 1.4292 2022/07/30 15:30:47 - mmengine - INFO - Epoch(train) [173][2900/3757] lr: 4.8660e-05 eta: 3:08:15 time: 0.4591 data_time: 0.0252 memory: 17006 grad_norm: 12.6414 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2198 loss: 1.2198 2022/07/30 15:30:55 - mmengine - INFO - Epoch(train) [173][2920/3757] lr: 4.8660e-05 eta: 3:08:07 time: 0.4086 data_time: 0.0221 memory: 17006 grad_norm: 13.3103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1117 loss: 1.1117 2022/07/30 15:31:03 - mmengine - INFO - Epoch(train) [173][2940/3757] lr: 4.8660e-05 eta: 3:07:59 time: 0.4069 data_time: 0.0191 memory: 17006 grad_norm: 12.3696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4473 loss: 1.4473 2022/07/30 15:31:12 - mmengine - INFO - Epoch(train) [173][2960/3757] lr: 4.8660e-05 eta: 3:07:51 time: 0.4648 data_time: 0.0221 memory: 17006 grad_norm: 12.1819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0319 loss: 1.0319 2022/07/30 15:31:21 - mmengine - INFO - Epoch(train) [173][2980/3757] lr: 4.8660e-05 eta: 3:07:42 time: 0.4069 data_time: 0.0196 memory: 17006 grad_norm: 12.8542 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1573 loss: 1.1573 2022/07/30 15:31:29 - mmengine - INFO - Epoch(train) [173][3000/3757] lr: 4.8660e-05 eta: 3:07:34 time: 0.4451 data_time: 0.0236 memory: 17006 grad_norm: 12.2748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2571 loss: 1.2571 2022/07/30 15:31:38 - mmengine - INFO - Epoch(train) [173][3020/3757] lr: 4.8660e-05 eta: 3:07:26 time: 0.4062 data_time: 0.0185 memory: 17006 grad_norm: 12.3393 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1340 loss: 1.1340 2022/07/30 15:31:47 - mmengine - INFO - Epoch(train) [173][3040/3757] lr: 4.8660e-05 eta: 3:07:17 time: 0.4585 data_time: 0.0235 memory: 17006 grad_norm: 12.3110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1195 loss: 1.1195 2022/07/30 15:31:55 - mmengine - INFO - Epoch(train) [173][3060/3757] lr: 4.8660e-05 eta: 3:07:09 time: 0.4071 data_time: 0.0212 memory: 17006 grad_norm: 12.2657 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2930 loss: 1.2930 2022/07/30 15:32:03 - mmengine - INFO - Epoch(train) [173][3080/3757] lr: 4.8660e-05 eta: 3:07:01 time: 0.4077 data_time: 0.0214 memory: 17006 grad_norm: 12.0962 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9005 loss: 0.9005 2022/07/30 15:32:12 - mmengine - INFO - Epoch(train) [173][3100/3757] lr: 4.8660e-05 eta: 3:06:52 time: 0.4226 data_time: 0.0231 memory: 17006 grad_norm: 12.1287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0880 loss: 1.0880 2022/07/30 15:32:20 - mmengine - INFO - Epoch(train) [173][3120/3757] lr: 4.8660e-05 eta: 3:06:44 time: 0.4092 data_time: 0.0225 memory: 17006 grad_norm: 12.6487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9644 loss: 0.9644 2022/07/30 15:32:28 - mmengine - INFO - Epoch(train) [173][3140/3757] lr: 4.8660e-05 eta: 3:06:36 time: 0.4112 data_time: 0.0203 memory: 17006 grad_norm: 12.2391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/07/30 15:32:36 - mmengine - INFO - Epoch(train) [173][3160/3757] lr: 4.8660e-05 eta: 3:06:27 time: 0.4080 data_time: 0.0215 memory: 17006 grad_norm: 11.7820 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2258 loss: 1.2258 2022/07/30 15:32:45 - mmengine - INFO - Epoch(train) [173][3180/3757] lr: 4.8660e-05 eta: 3:06:19 time: 0.4063 data_time: 0.0207 memory: 17006 grad_norm: 12.3178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1089 loss: 1.1089 2022/07/30 15:32:53 - mmengine - INFO - Epoch(train) [173][3200/3757] lr: 4.8660e-05 eta: 3:06:11 time: 0.4206 data_time: 0.0228 memory: 17006 grad_norm: 12.4143 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1395 loss: 1.1395 2022/07/30 15:33:01 - mmengine - INFO - Epoch(train) [173][3220/3757] lr: 4.8660e-05 eta: 3:06:02 time: 0.4071 data_time: 0.0198 memory: 17006 grad_norm: 12.7177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2513 loss: 1.2513 2022/07/30 15:33:10 - mmengine - INFO - Epoch(train) [173][3240/3757] lr: 4.8660e-05 eta: 3:05:54 time: 0.4214 data_time: 0.0228 memory: 17006 grad_norm: 12.2609 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/07/30 15:33:18 - mmengine - INFO - Epoch(train) [173][3260/3757] lr: 4.8660e-05 eta: 3:05:46 time: 0.4095 data_time: 0.0205 memory: 17006 grad_norm: 12.0760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8265 loss: 0.8265 2022/07/30 15:33:26 - mmengine - INFO - Epoch(train) [173][3280/3757] lr: 4.8660e-05 eta: 3:05:38 time: 0.4195 data_time: 0.0219 memory: 17006 grad_norm: 12.2051 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/07/30 15:33:34 - mmengine - INFO - Epoch(train) [173][3300/3757] lr: 4.8660e-05 eta: 3:05:29 time: 0.4074 data_time: 0.0211 memory: 17006 grad_norm: 12.4431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1803 loss: 1.1803 2022/07/30 15:33:43 - mmengine - INFO - Epoch(train) [173][3320/3757] lr: 4.8660e-05 eta: 3:05:21 time: 0.4163 data_time: 0.0209 memory: 17006 grad_norm: 12.2470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0490 loss: 1.0490 2022/07/30 15:33:51 - mmengine - INFO - Epoch(train) [173][3340/3757] lr: 4.8660e-05 eta: 3:05:13 time: 0.4116 data_time: 0.0210 memory: 17006 grad_norm: 12.2851 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.0518 loss: 1.0518 2022/07/30 15:33:59 - mmengine - INFO - Epoch(train) [173][3360/3757] lr: 4.8660e-05 eta: 3:05:04 time: 0.4198 data_time: 0.0216 memory: 17006 grad_norm: 11.8733 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1689 loss: 1.1689 2022/07/30 15:34:08 - mmengine - INFO - Epoch(train) [173][3380/3757] lr: 4.8660e-05 eta: 3:04:56 time: 0.4155 data_time: 0.0190 memory: 17006 grad_norm: 11.6539 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0300 loss: 1.0300 2022/07/30 15:34:17 - mmengine - INFO - Epoch(train) [173][3400/3757] lr: 4.8660e-05 eta: 3:04:48 time: 0.4476 data_time: 0.0220 memory: 17006 grad_norm: 12.1016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1131 loss: 1.1131 2022/07/30 15:34:25 - mmengine - INFO - Epoch(train) [173][3420/3757] lr: 4.8660e-05 eta: 3:04:39 time: 0.4078 data_time: 0.0204 memory: 17006 grad_norm: 12.4982 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0100 loss: 1.0100 2022/07/30 15:34:33 - mmengine - INFO - Epoch(train) [173][3440/3757] lr: 4.8660e-05 eta: 3:04:31 time: 0.4091 data_time: 0.0220 memory: 17006 grad_norm: 12.6474 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4215 loss: 1.4215 2022/07/30 15:34:42 - mmengine - INFO - Epoch(train) [173][3460/3757] lr: 4.8660e-05 eta: 3:04:23 time: 0.4216 data_time: 0.0197 memory: 17006 grad_norm: 12.3166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8440 loss: 0.8440 2022/07/30 15:34:50 - mmengine - INFO - Epoch(train) [173][3480/3757] lr: 4.8660e-05 eta: 3:04:14 time: 0.4097 data_time: 0.0222 memory: 17006 grad_norm: 12.4707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0983 loss: 1.0983 2022/07/30 15:34:58 - mmengine - INFO - Epoch(train) [173][3500/3757] lr: 4.8660e-05 eta: 3:04:06 time: 0.4165 data_time: 0.0222 memory: 17006 grad_norm: 12.3797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1109 loss: 1.1109 2022/07/30 15:35:06 - mmengine - INFO - Epoch(train) [173][3520/3757] lr: 4.8660e-05 eta: 3:03:58 time: 0.4078 data_time: 0.0209 memory: 17006 grad_norm: 12.1117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2646 loss: 1.2646 2022/07/30 15:35:15 - mmengine - INFO - Epoch(train) [173][3540/3757] lr: 4.8660e-05 eta: 3:03:49 time: 0.4067 data_time: 0.0194 memory: 17006 grad_norm: 13.0734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1523 loss: 1.1523 2022/07/30 15:35:23 - mmengine - INFO - Epoch(train) [173][3560/3757] lr: 4.8660e-05 eta: 3:03:41 time: 0.4155 data_time: 0.0223 memory: 17006 grad_norm: 12.2937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1059 loss: 1.1059 2022/07/30 15:35:31 - mmengine - INFO - Epoch(train) [173][3580/3757] lr: 4.8660e-05 eta: 3:03:33 time: 0.4078 data_time: 0.0195 memory: 17006 grad_norm: 12.5327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1458 loss: 1.1458 2022/07/30 15:35:39 - mmengine - INFO - Epoch(train) [173][3600/3757] lr: 4.8660e-05 eta: 3:03:24 time: 0.4060 data_time: 0.0208 memory: 17006 grad_norm: 11.5987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7598 loss: 0.7598 2022/07/30 15:35:48 - mmengine - INFO - Epoch(train) [173][3620/3757] lr: 4.8660e-05 eta: 3:03:16 time: 0.4235 data_time: 0.0235 memory: 17006 grad_norm: 12.6598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2289 loss: 1.2289 2022/07/30 15:35:56 - mmengine - INFO - Epoch(train) [173][3640/3757] lr: 4.8660e-05 eta: 3:03:08 time: 0.4104 data_time: 0.0213 memory: 17006 grad_norm: 12.3375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3950 loss: 1.3950 2022/07/30 15:36:04 - mmengine - INFO - Epoch(train) [173][3660/3757] lr: 4.8660e-05 eta: 3:02:59 time: 0.4059 data_time: 0.0184 memory: 17006 grad_norm: 12.2600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9054 loss: 0.9054 2022/07/30 15:36:13 - mmengine - INFO - Epoch(train) [173][3680/3757] lr: 4.8660e-05 eta: 3:02:51 time: 0.4256 data_time: 0.0225 memory: 17006 grad_norm: 11.8342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/07/30 15:36:21 - mmengine - INFO - Epoch(train) [173][3700/3757] lr: 4.8660e-05 eta: 3:02:43 time: 0.4116 data_time: 0.0195 memory: 17006 grad_norm: 12.6788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1397 loss: 1.1397 2022/07/30 15:36:29 - mmengine - INFO - Epoch(train) [173][3720/3757] lr: 4.8660e-05 eta: 3:02:34 time: 0.4119 data_time: 0.0242 memory: 17006 grad_norm: 12.2950 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9280 loss: 0.9280 2022/07/30 15:36:38 - mmengine - INFO - Epoch(train) [173][3740/3757] lr: 4.8660e-05 eta: 3:02:26 time: 0.4172 data_time: 0.0195 memory: 17006 grad_norm: 11.9350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/07/30 15:36:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:36:44 - mmengine - INFO - Epoch(train) [173][3757/3757] lr: 4.8660e-05 eta: 3:02:26 time: 0.3967 data_time: 0.0215 memory: 17006 grad_norm: 12.7746 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.0829 loss: 1.0829 2022/07/30 15:36:44 - mmengine - INFO - Saving checkpoint at 173 epochs 2022/07/30 15:36:59 - mmengine - INFO - Epoch(train) [174][20/3757] lr: 3.7269e-05 eta: 3:02:10 time: 0.4548 data_time: 0.0675 memory: 17006 grad_norm: 12.9761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1491 loss: 1.1491 2022/07/30 15:37:07 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:37:07 - mmengine - INFO - Epoch(train) [174][40/3757] lr: 3.7269e-05 eta: 3:02:02 time: 0.4152 data_time: 0.0229 memory: 17006 grad_norm: 11.7592 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8829 loss: 0.8829 2022/07/30 15:37:16 - mmengine - INFO - Epoch(train) [174][60/3757] lr: 3.7269e-05 eta: 3:01:53 time: 0.4092 data_time: 0.0194 memory: 17006 grad_norm: 12.2740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0966 loss: 1.0966 2022/07/30 15:37:24 - mmengine - INFO - Epoch(train) [174][80/3757] lr: 3.7269e-05 eta: 3:01:45 time: 0.4074 data_time: 0.0207 memory: 17006 grad_norm: 12.3223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1656 loss: 1.1656 2022/07/30 15:37:32 - mmengine - INFO - Epoch(train) [174][100/3757] lr: 3.7269e-05 eta: 3:01:37 time: 0.4177 data_time: 0.0229 memory: 17006 grad_norm: 12.2831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2212 loss: 1.2212 2022/07/30 15:37:40 - mmengine - INFO - Epoch(train) [174][120/3757] lr: 3.7269e-05 eta: 3:01:28 time: 0.4079 data_time: 0.0208 memory: 17006 grad_norm: 12.5173 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7166 loss: 0.7166 2022/07/30 15:37:49 - mmengine - INFO - Epoch(train) [174][140/3757] lr: 3.7269e-05 eta: 3:01:20 time: 0.4091 data_time: 0.0223 memory: 17006 grad_norm: 11.6987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0049 loss: 1.0049 2022/07/30 15:37:57 - mmengine - INFO - Epoch(train) [174][160/3757] lr: 3.7269e-05 eta: 3:01:12 time: 0.4146 data_time: 0.0213 memory: 17006 grad_norm: 12.0841 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0502 loss: 1.0502 2022/07/30 15:38:05 - mmengine - INFO - Epoch(train) [174][180/3757] lr: 3.7269e-05 eta: 3:01:03 time: 0.4067 data_time: 0.0205 memory: 17006 grad_norm: 12.5192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/07/30 15:38:13 - mmengine - INFO - Epoch(train) [174][200/3757] lr: 3.7269e-05 eta: 3:00:55 time: 0.4094 data_time: 0.0226 memory: 17006 grad_norm: 11.7628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/07/30 15:38:22 - mmengine - INFO - Epoch(train) [174][220/3757] lr: 3.7269e-05 eta: 3:00:47 time: 0.4313 data_time: 0.0217 memory: 17006 grad_norm: 12.5409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/07/30 15:38:30 - mmengine - INFO - Epoch(train) [174][240/3757] lr: 3.7269e-05 eta: 3:00:38 time: 0.4110 data_time: 0.0215 memory: 17006 grad_norm: 12.6705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9660 loss: 0.9660 2022/07/30 15:38:38 - mmengine - INFO - Epoch(train) [174][260/3757] lr: 3.7269e-05 eta: 3:00:30 time: 0.4101 data_time: 0.0225 memory: 17006 grad_norm: 11.8845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/07/30 15:38:47 - mmengine - INFO - Epoch(train) [174][280/3757] lr: 3.7269e-05 eta: 3:00:22 time: 0.4097 data_time: 0.0220 memory: 17006 grad_norm: 11.9361 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1057 loss: 1.1057 2022/07/30 15:38:55 - mmengine - INFO - Epoch(train) [174][300/3757] lr: 3.7269e-05 eta: 3:00:13 time: 0.4098 data_time: 0.0226 memory: 17006 grad_norm: 11.7516 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0497 loss: 1.0497 2022/07/30 15:39:03 - mmengine - INFO - Epoch(train) [174][320/3757] lr: 3.7269e-05 eta: 3:00:05 time: 0.4045 data_time: 0.0198 memory: 17006 grad_norm: 11.8279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9190 loss: 0.9190 2022/07/30 15:39:11 - mmengine - INFO - Epoch(train) [174][340/3757] lr: 3.7269e-05 eta: 2:59:57 time: 0.4145 data_time: 0.0222 memory: 17006 grad_norm: 11.8517 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1244 loss: 1.1244 2022/07/30 15:39:20 - mmengine - INFO - Epoch(train) [174][360/3757] lr: 3.7269e-05 eta: 2:59:48 time: 0.4087 data_time: 0.0217 memory: 17006 grad_norm: 12.0815 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8135 loss: 0.8135 2022/07/30 15:39:29 - mmengine - INFO - Epoch(train) [174][380/3757] lr: 3.7269e-05 eta: 2:59:40 time: 0.4523 data_time: 0.0227 memory: 17006 grad_norm: 12.5148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1082 loss: 1.1082 2022/07/30 15:39:37 - mmengine - INFO - Epoch(train) [174][400/3757] lr: 3.7269e-05 eta: 2:59:32 time: 0.4063 data_time: 0.0211 memory: 17006 grad_norm: 11.9686 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2956 loss: 1.2956 2022/07/30 15:39:45 - mmengine - INFO - Epoch(train) [174][420/3757] lr: 3.7269e-05 eta: 2:59:23 time: 0.4070 data_time: 0.0208 memory: 17006 grad_norm: 12.0775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2394 loss: 1.2394 2022/07/30 15:39:53 - mmengine - INFO - Epoch(train) [174][440/3757] lr: 3.7269e-05 eta: 2:59:15 time: 0.4160 data_time: 0.0214 memory: 17006 grad_norm: 12.4417 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9134 loss: 0.9134 2022/07/30 15:40:01 - mmengine - INFO - Epoch(train) [174][460/3757] lr: 3.7269e-05 eta: 2:59:07 time: 0.4079 data_time: 0.0223 memory: 17006 grad_norm: 11.2832 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2413 loss: 1.2413 2022/07/30 15:40:10 - mmengine - INFO - Epoch(train) [174][480/3757] lr: 3.7269e-05 eta: 2:58:58 time: 0.4186 data_time: 0.0231 memory: 17006 grad_norm: 12.0838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0001 loss: 1.0001 2022/07/30 15:40:18 - mmengine - INFO - Epoch(train) [174][500/3757] lr: 3.7269e-05 eta: 2:58:50 time: 0.4204 data_time: 0.0228 memory: 17006 grad_norm: 12.6009 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4515 loss: 1.4515 2022/07/30 15:40:27 - mmengine - INFO - Epoch(train) [174][520/3757] lr: 3.7269e-05 eta: 2:58:42 time: 0.4115 data_time: 0.0215 memory: 17006 grad_norm: 11.9987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8541 loss: 0.8541 2022/07/30 15:40:35 - mmengine - INFO - Epoch(train) [174][540/3757] lr: 3.7269e-05 eta: 2:58:33 time: 0.4090 data_time: 0.0211 memory: 17006 grad_norm: 11.8511 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9733 loss: 0.9733 2022/07/30 15:40:43 - mmengine - INFO - Epoch(train) [174][560/3757] lr: 3.7269e-05 eta: 2:58:25 time: 0.4123 data_time: 0.0213 memory: 17006 grad_norm: 12.2624 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1266 loss: 1.1266 2022/07/30 15:40:51 - mmengine - INFO - Epoch(train) [174][580/3757] lr: 3.7269e-05 eta: 2:58:17 time: 0.4101 data_time: 0.0226 memory: 17006 grad_norm: 12.0856 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/07/30 15:41:00 - mmengine - INFO - Epoch(train) [174][600/3757] lr: 3.7269e-05 eta: 2:58:09 time: 0.4393 data_time: 0.0240 memory: 17006 grad_norm: 12.4073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/07/30 15:41:08 - mmengine - INFO - Epoch(train) [174][620/3757] lr: 3.7269e-05 eta: 2:58:00 time: 0.4133 data_time: 0.0241 memory: 17006 grad_norm: 12.1531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1843 loss: 1.1843 2022/07/30 15:41:17 - mmengine - INFO - Epoch(train) [174][640/3757] lr: 3.7269e-05 eta: 2:57:52 time: 0.4095 data_time: 0.0215 memory: 17006 grad_norm: 12.7621 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2521 loss: 1.2521 2022/07/30 15:41:25 - mmengine - INFO - Epoch(train) [174][660/3757] lr: 3.7269e-05 eta: 2:57:44 time: 0.4070 data_time: 0.0206 memory: 17006 grad_norm: 12.5947 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0194 loss: 1.0194 2022/07/30 15:41:33 - mmengine - INFO - Epoch(train) [174][680/3757] lr: 3.7269e-05 eta: 2:57:35 time: 0.4096 data_time: 0.0223 memory: 17006 grad_norm: 12.6298 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2701 loss: 1.2701 2022/07/30 15:41:41 - mmengine - INFO - Epoch(train) [174][700/3757] lr: 3.7269e-05 eta: 2:57:27 time: 0.4086 data_time: 0.0210 memory: 17006 grad_norm: 12.0442 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0908 loss: 1.0908 2022/07/30 15:41:49 - mmengine - INFO - Epoch(train) [174][720/3757] lr: 3.7269e-05 eta: 2:57:19 time: 0.4094 data_time: 0.0208 memory: 17006 grad_norm: 11.4349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9799 loss: 0.9799 2022/07/30 15:41:58 - mmengine - INFO - Epoch(train) [174][740/3757] lr: 3.7269e-05 eta: 2:57:10 time: 0.4079 data_time: 0.0220 memory: 17006 grad_norm: 12.9369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1379 loss: 1.1379 2022/07/30 15:42:06 - mmengine - INFO - Epoch(train) [174][760/3757] lr: 3.7269e-05 eta: 2:57:02 time: 0.4243 data_time: 0.0199 memory: 17006 grad_norm: 12.4248 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4136 loss: 1.4136 2022/07/30 15:42:14 - mmengine - INFO - Epoch(train) [174][780/3757] lr: 3.7269e-05 eta: 2:56:54 time: 0.4116 data_time: 0.0220 memory: 17006 grad_norm: 12.0665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7544 loss: 0.7544 2022/07/30 15:42:23 - mmengine - INFO - Epoch(train) [174][800/3757] lr: 3.7269e-05 eta: 2:56:45 time: 0.4094 data_time: 0.0211 memory: 17006 grad_norm: 11.5308 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6583 loss: 0.6583 2022/07/30 15:42:31 - mmengine - INFO - Epoch(train) [174][820/3757] lr: 3.7269e-05 eta: 2:56:37 time: 0.4180 data_time: 0.0209 memory: 17006 grad_norm: 12.1655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/07/30 15:42:39 - mmengine - INFO - Epoch(train) [174][840/3757] lr: 3.7269e-05 eta: 2:56:29 time: 0.4154 data_time: 0.0211 memory: 17006 grad_norm: 12.5454 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0506 loss: 1.0506 2022/07/30 15:42:48 - mmengine - INFO - Epoch(train) [174][860/3757] lr: 3.7269e-05 eta: 2:56:20 time: 0.4088 data_time: 0.0213 memory: 17006 grad_norm: 12.2567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1438 loss: 1.1438 2022/07/30 15:42:56 - mmengine - INFO - Epoch(train) [174][880/3757] lr: 3.7269e-05 eta: 2:56:12 time: 0.4073 data_time: 0.0223 memory: 17006 grad_norm: 11.7796 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9247 loss: 0.9247 2022/07/30 15:43:04 - mmengine - INFO - Epoch(train) [174][900/3757] lr: 3.7269e-05 eta: 2:56:04 time: 0.4187 data_time: 0.0206 memory: 17006 grad_norm: 11.8205 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2015 loss: 1.2015 2022/07/30 15:43:12 - mmengine - INFO - Epoch(train) [174][920/3757] lr: 3.7269e-05 eta: 2:55:55 time: 0.4083 data_time: 0.0217 memory: 17006 grad_norm: 12.4529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9513 loss: 0.9513 2022/07/30 15:43:21 - mmengine - INFO - Epoch(train) [174][940/3757] lr: 3.7269e-05 eta: 2:55:47 time: 0.4101 data_time: 0.0227 memory: 17006 grad_norm: 12.8162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/07/30 15:43:29 - mmengine - INFO - Epoch(train) [174][960/3757] lr: 3.7269e-05 eta: 2:55:39 time: 0.4085 data_time: 0.0217 memory: 17006 grad_norm: 12.1942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/07/30 15:43:38 - mmengine - INFO - Epoch(train) [174][980/3757] lr: 3.7269e-05 eta: 2:55:30 time: 0.4518 data_time: 0.0221 memory: 17006 grad_norm: 12.3271 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0799 loss: 1.0799 2022/07/30 15:43:46 - mmengine - INFO - Epoch(train) [174][1000/3757] lr: 3.7269e-05 eta: 2:55:22 time: 0.4196 data_time: 0.0214 memory: 17006 grad_norm: 12.1079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9918 loss: 0.9918 2022/07/30 15:43:54 - mmengine - INFO - Epoch(train) [174][1020/3757] lr: 3.7269e-05 eta: 2:55:14 time: 0.4080 data_time: 0.0218 memory: 17006 grad_norm: 11.7000 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9339 loss: 0.9339 2022/07/30 15:44:02 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:44:03 - mmengine - INFO - Epoch(train) [174][1040/3757] lr: 3.7269e-05 eta: 2:55:05 time: 0.4100 data_time: 0.0221 memory: 17006 grad_norm: 12.2273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2306 loss: 1.2306 2022/07/30 15:44:11 - mmengine - INFO - Epoch(train) [174][1060/3757] lr: 3.7269e-05 eta: 2:54:57 time: 0.4158 data_time: 0.0221 memory: 17006 grad_norm: 12.6872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/07/30 15:44:19 - mmengine - INFO - Epoch(train) [174][1080/3757] lr: 3.7269e-05 eta: 2:54:49 time: 0.4106 data_time: 0.0213 memory: 17006 grad_norm: 12.0029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1151 loss: 1.1151 2022/07/30 15:44:28 - mmengine - INFO - Epoch(train) [174][1100/3757] lr: 3.7269e-05 eta: 2:54:40 time: 0.4323 data_time: 0.0227 memory: 17006 grad_norm: 11.8594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9701 loss: 0.9701 2022/07/30 15:44:36 - mmengine - INFO - Epoch(train) [174][1120/3757] lr: 3.7269e-05 eta: 2:54:32 time: 0.4105 data_time: 0.0201 memory: 17006 grad_norm: 11.7352 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1162 loss: 1.1162 2022/07/30 15:44:44 - mmengine - INFO - Epoch(train) [174][1140/3757] lr: 3.7269e-05 eta: 2:54:24 time: 0.4096 data_time: 0.0220 memory: 17006 grad_norm: 12.5483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2280 loss: 1.2280 2022/07/30 15:44:53 - mmengine - INFO - Epoch(train) [174][1160/3757] lr: 3.7269e-05 eta: 2:54:15 time: 0.4159 data_time: 0.0218 memory: 17006 grad_norm: 12.1995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1688 loss: 1.1688 2022/07/30 15:45:01 - mmengine - INFO - Epoch(train) [174][1180/3757] lr: 3.7269e-05 eta: 2:54:07 time: 0.4089 data_time: 0.0217 memory: 17006 grad_norm: 12.1155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0330 loss: 1.0330 2022/07/30 15:45:10 - mmengine - INFO - Epoch(train) [174][1200/3757] lr: 3.7269e-05 eta: 2:53:59 time: 0.4251 data_time: 0.0223 memory: 17006 grad_norm: 12.6416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2485 loss: 1.2485 2022/07/30 15:45:18 - mmengine - INFO - Epoch(train) [174][1220/3757] lr: 3.7269e-05 eta: 2:53:51 time: 0.4093 data_time: 0.0232 memory: 17006 grad_norm: 12.3614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4072 loss: 1.4072 2022/07/30 15:45:26 - mmengine - INFO - Epoch(train) [174][1240/3757] lr: 3.7269e-05 eta: 2:53:42 time: 0.4100 data_time: 0.0209 memory: 17006 grad_norm: 11.9243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0901 loss: 1.0901 2022/07/30 15:45:34 - mmengine - INFO - Epoch(train) [174][1260/3757] lr: 3.7269e-05 eta: 2:53:34 time: 0.4168 data_time: 0.0207 memory: 17006 grad_norm: 12.4980 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2808 loss: 1.2808 2022/07/30 15:45:43 - mmengine - INFO - Epoch(train) [174][1280/3757] lr: 3.7269e-05 eta: 2:53:26 time: 0.4089 data_time: 0.0219 memory: 17006 grad_norm: 12.4695 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/07/30 15:45:51 - mmengine - INFO - Epoch(train) [174][1300/3757] lr: 3.7269e-05 eta: 2:53:17 time: 0.4300 data_time: 0.0243 memory: 17006 grad_norm: 11.9938 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2582 loss: 1.2582 2022/07/30 15:45:59 - mmengine - INFO - Epoch(train) [174][1320/3757] lr: 3.7269e-05 eta: 2:53:09 time: 0.4075 data_time: 0.0218 memory: 17006 grad_norm: 11.9389 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9035 loss: 0.9035 2022/07/30 15:46:08 - mmengine - INFO - Epoch(train) [174][1340/3757] lr: 3.7269e-05 eta: 2:53:01 time: 0.4407 data_time: 0.0226 memory: 17006 grad_norm: 12.1738 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1264 loss: 1.1264 2022/07/30 15:46:16 - mmengine - INFO - Epoch(train) [174][1360/3757] lr: 3.7269e-05 eta: 2:52:52 time: 0.4085 data_time: 0.0217 memory: 17006 grad_norm: 12.3128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0108 loss: 1.0108 2022/07/30 15:46:25 - mmengine - INFO - Epoch(train) [174][1380/3757] lr: 3.7269e-05 eta: 2:52:44 time: 0.4068 data_time: 0.0213 memory: 17006 grad_norm: 12.5330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9900 loss: 0.9900 2022/07/30 15:46:33 - mmengine - INFO - Epoch(train) [174][1400/3757] lr: 3.7269e-05 eta: 2:52:36 time: 0.4100 data_time: 0.0225 memory: 17006 grad_norm: 11.7072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8840 loss: 0.8840 2022/07/30 15:46:41 - mmengine - INFO - Epoch(train) [174][1420/3757] lr: 3.7269e-05 eta: 2:52:27 time: 0.4070 data_time: 0.0217 memory: 17006 grad_norm: 11.8422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1105 loss: 1.1105 2022/07/30 15:46:49 - mmengine - INFO - Epoch(train) [174][1440/3757] lr: 3.7269e-05 eta: 2:52:19 time: 0.4111 data_time: 0.0204 memory: 17006 grad_norm: 12.7350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2501 loss: 1.2501 2022/07/30 15:46:57 - mmengine - INFO - Epoch(train) [174][1460/3757] lr: 3.7269e-05 eta: 2:52:11 time: 0.4105 data_time: 0.0226 memory: 17006 grad_norm: 12.3328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0856 loss: 1.0856 2022/07/30 15:47:06 - mmengine - INFO - Epoch(train) [174][1480/3757] lr: 3.7269e-05 eta: 2:52:02 time: 0.4067 data_time: 0.0212 memory: 17006 grad_norm: 12.2916 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9026 loss: 0.9026 2022/07/30 15:47:14 - mmengine - INFO - Epoch(train) [174][1500/3757] lr: 3.7269e-05 eta: 2:51:54 time: 0.4209 data_time: 0.0225 memory: 17006 grad_norm: 12.2669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/07/30 15:47:23 - mmengine - INFO - Epoch(train) [174][1520/3757] lr: 3.7269e-05 eta: 2:51:46 time: 0.4187 data_time: 0.0214 memory: 17006 grad_norm: 12.7216 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/07/30 15:47:31 - mmengine - INFO - Epoch(train) [174][1540/3757] lr: 3.7269e-05 eta: 2:51:37 time: 0.4060 data_time: 0.0209 memory: 17006 grad_norm: 12.3529 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0915 loss: 1.0915 2022/07/30 15:47:39 - mmengine - INFO - Epoch(train) [174][1560/3757] lr: 3.7269e-05 eta: 2:51:29 time: 0.4206 data_time: 0.0218 memory: 17006 grad_norm: 12.2492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/07/30 15:47:47 - mmengine - INFO - Epoch(train) [174][1580/3757] lr: 3.7269e-05 eta: 2:51:21 time: 0.4076 data_time: 0.0220 memory: 17006 grad_norm: 12.4690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1301 loss: 1.1301 2022/07/30 15:47:55 - mmengine - INFO - Epoch(train) [174][1600/3757] lr: 3.7269e-05 eta: 2:51:12 time: 0.4071 data_time: 0.0213 memory: 17006 grad_norm: 11.6190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/07/30 15:48:04 - mmengine - INFO - Epoch(train) [174][1620/3757] lr: 3.7269e-05 eta: 2:51:04 time: 0.4137 data_time: 0.0229 memory: 17006 grad_norm: 12.2053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5693 loss: 1.5693 2022/07/30 15:48:12 - mmengine - INFO - Epoch(train) [174][1640/3757] lr: 3.7269e-05 eta: 2:50:56 time: 0.4061 data_time: 0.0207 memory: 17006 grad_norm: 12.3539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1403 loss: 1.1403 2022/07/30 15:48:21 - mmengine - INFO - Epoch(train) [174][1660/3757] lr: 3.7269e-05 eta: 2:50:47 time: 0.4339 data_time: 0.0246 memory: 17006 grad_norm: 11.7381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1165 loss: 1.1165 2022/07/30 15:48:29 - mmengine - INFO - Epoch(train) [174][1680/3757] lr: 3.7269e-05 eta: 2:50:39 time: 0.4069 data_time: 0.0201 memory: 17006 grad_norm: 12.4636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0490 loss: 1.0490 2022/07/30 15:48:38 - mmengine - INFO - Epoch(train) [174][1700/3757] lr: 3.7269e-05 eta: 2:50:31 time: 0.4354 data_time: 0.0243 memory: 17006 grad_norm: 12.4693 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/07/30 15:48:46 - mmengine - INFO - Epoch(train) [174][1720/3757] lr: 3.7269e-05 eta: 2:50:22 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 12.2087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1910 loss: 1.1910 2022/07/30 15:48:54 - mmengine - INFO - Epoch(train) [174][1740/3757] lr: 3.7269e-05 eta: 2:50:14 time: 0.4096 data_time: 0.0224 memory: 17006 grad_norm: 12.6190 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0365 loss: 1.0365 2022/07/30 15:49:03 - mmengine - INFO - Epoch(train) [174][1760/3757] lr: 3.7269e-05 eta: 2:50:06 time: 0.4283 data_time: 0.0213 memory: 17006 grad_norm: 12.4819 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9765 loss: 0.9765 2022/07/30 15:49:11 - mmengine - INFO - Epoch(train) [174][1780/3757] lr: 3.7269e-05 eta: 2:49:58 time: 0.4084 data_time: 0.0217 memory: 17006 grad_norm: 12.3961 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0683 loss: 1.0683 2022/07/30 15:49:19 - mmengine - INFO - Epoch(train) [174][1800/3757] lr: 3.7269e-05 eta: 2:49:49 time: 0.4243 data_time: 0.0231 memory: 17006 grad_norm: 12.4918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/07/30 15:49:28 - mmengine - INFO - Epoch(train) [174][1820/3757] lr: 3.7269e-05 eta: 2:49:41 time: 0.4092 data_time: 0.0225 memory: 17006 grad_norm: 12.0821 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2121 loss: 1.2121 2022/07/30 15:49:36 - mmengine - INFO - Epoch(train) [174][1840/3757] lr: 3.7269e-05 eta: 2:49:33 time: 0.4069 data_time: 0.0209 memory: 17006 grad_norm: 11.7326 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0747 loss: 1.0747 2022/07/30 15:49:44 - mmengine - INFO - Epoch(train) [174][1860/3757] lr: 3.7269e-05 eta: 2:49:24 time: 0.4328 data_time: 0.0203 memory: 17006 grad_norm: 12.0861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0314 loss: 1.0314 2022/07/30 15:49:53 - mmengine - INFO - Epoch(train) [174][1880/3757] lr: 3.7269e-05 eta: 2:49:16 time: 0.4088 data_time: 0.0229 memory: 17006 grad_norm: 12.1887 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2562 loss: 1.2562 2022/07/30 15:50:02 - mmengine - INFO - Epoch(train) [174][1900/3757] lr: 3.7269e-05 eta: 2:49:08 time: 0.4635 data_time: 0.0263 memory: 17006 grad_norm: 11.8305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7945 loss: 0.7945 2022/07/30 15:50:10 - mmengine - INFO - Epoch(train) [174][1920/3757] lr: 3.7269e-05 eta: 2:48:59 time: 0.4072 data_time: 0.0210 memory: 17006 grad_norm: 12.0193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/07/30 15:50:19 - mmengine - INFO - Epoch(train) [174][1940/3757] lr: 3.7269e-05 eta: 2:48:51 time: 0.4429 data_time: 0.0250 memory: 17006 grad_norm: 11.7414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1030 loss: 1.1030 2022/07/30 15:50:27 - mmengine - INFO - Epoch(train) [174][1960/3757] lr: 3.7269e-05 eta: 2:48:43 time: 0.4100 data_time: 0.0211 memory: 17006 grad_norm: 12.1059 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0242 loss: 1.0242 2022/07/30 15:50:35 - mmengine - INFO - Epoch(train) [174][1980/3757] lr: 3.7269e-05 eta: 2:48:34 time: 0.4064 data_time: 0.0209 memory: 17006 grad_norm: 11.2693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1376 loss: 1.1376 2022/07/30 15:50:44 - mmengine - INFO - Epoch(train) [174][2000/3757] lr: 3.7269e-05 eta: 2:48:26 time: 0.4244 data_time: 0.0212 memory: 17006 grad_norm: 11.9007 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2726 loss: 1.2726 2022/07/30 15:50:52 - mmengine - INFO - Epoch(train) [174][2020/3757] lr: 3.7269e-05 eta: 2:48:18 time: 0.4089 data_time: 0.0228 memory: 17006 grad_norm: 12.5939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0492 loss: 1.0492 2022/07/30 15:51:00 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:51:01 - mmengine - INFO - Epoch(train) [174][2040/3757] lr: 3.7269e-05 eta: 2:48:10 time: 0.4344 data_time: 0.0211 memory: 17006 grad_norm: 12.1536 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2204 loss: 1.2204 2022/07/30 15:51:09 - mmengine - INFO - Epoch(train) [174][2060/3757] lr: 3.7269e-05 eta: 2:48:01 time: 0.4098 data_time: 0.0218 memory: 17006 grad_norm: 12.7957 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2545 loss: 1.2545 2022/07/30 15:51:18 - mmengine - INFO - Epoch(train) [174][2080/3757] lr: 3.7269e-05 eta: 2:47:53 time: 0.4367 data_time: 0.0231 memory: 17006 grad_norm: 12.5843 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3392 loss: 1.3392 2022/07/30 15:51:26 - mmengine - INFO - Epoch(train) [174][2100/3757] lr: 3.7269e-05 eta: 2:47:45 time: 0.4076 data_time: 0.0209 memory: 17006 grad_norm: 12.4248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2792 loss: 1.2792 2022/07/30 15:51:34 - mmengine - INFO - Epoch(train) [174][2120/3757] lr: 3.7269e-05 eta: 2:47:36 time: 0.4079 data_time: 0.0217 memory: 17006 grad_norm: 12.2552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0527 loss: 1.0527 2022/07/30 15:51:43 - mmengine - INFO - Epoch(train) [174][2140/3757] lr: 3.7269e-05 eta: 2:47:28 time: 0.4259 data_time: 0.0224 memory: 17006 grad_norm: 12.5496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2841 loss: 1.2841 2022/07/30 15:51:51 - mmengine - INFO - Epoch(train) [174][2160/3757] lr: 3.7269e-05 eta: 2:47:20 time: 0.4084 data_time: 0.0218 memory: 17006 grad_norm: 12.0679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0573 loss: 1.0573 2022/07/30 15:51:59 - mmengine - INFO - Epoch(train) [174][2180/3757] lr: 3.7269e-05 eta: 2:47:11 time: 0.4142 data_time: 0.0223 memory: 17006 grad_norm: 11.3849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0121 loss: 1.0121 2022/07/30 15:52:07 - mmengine - INFO - Epoch(train) [174][2200/3757] lr: 3.7269e-05 eta: 2:47:03 time: 0.4092 data_time: 0.0205 memory: 17006 grad_norm: 12.3732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1821 loss: 1.1821 2022/07/30 15:52:16 - mmengine - INFO - Epoch(train) [174][2220/3757] lr: 3.7269e-05 eta: 2:46:55 time: 0.4090 data_time: 0.0221 memory: 17006 grad_norm: 12.6669 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0426 loss: 1.0426 2022/07/30 15:52:24 - mmengine - INFO - Epoch(train) [174][2240/3757] lr: 3.7269e-05 eta: 2:46:46 time: 0.4225 data_time: 0.0207 memory: 17006 grad_norm: 12.3181 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2850 loss: 1.2850 2022/07/30 15:52:32 - mmengine - INFO - Epoch(train) [174][2260/3757] lr: 3.7269e-05 eta: 2:46:38 time: 0.4080 data_time: 0.0219 memory: 17006 grad_norm: 11.4374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0097 loss: 1.0097 2022/07/30 15:52:41 - mmengine - INFO - Epoch(train) [174][2280/3757] lr: 3.7269e-05 eta: 2:46:30 time: 0.4217 data_time: 0.0212 memory: 17006 grad_norm: 12.1309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2585 loss: 1.2585 2022/07/30 15:52:49 - mmengine - INFO - Epoch(train) [174][2300/3757] lr: 3.7269e-05 eta: 2:46:21 time: 0.4198 data_time: 0.0225 memory: 17006 grad_norm: 12.2604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1567 loss: 1.1567 2022/07/30 15:52:58 - mmengine - INFO - Epoch(train) [174][2320/3757] lr: 3.7269e-05 eta: 2:46:13 time: 0.4140 data_time: 0.0223 memory: 17006 grad_norm: 12.6523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2635 loss: 1.2635 2022/07/30 15:53:06 - mmengine - INFO - Epoch(train) [174][2340/3757] lr: 3.7269e-05 eta: 2:46:05 time: 0.4074 data_time: 0.0214 memory: 17006 grad_norm: 12.4458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1317 loss: 1.1317 2022/07/30 15:53:14 - mmengine - INFO - Epoch(train) [174][2360/3757] lr: 3.7269e-05 eta: 2:45:56 time: 0.4093 data_time: 0.0205 memory: 17006 grad_norm: 12.5966 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2504 loss: 1.2504 2022/07/30 15:53:22 - mmengine - INFO - Epoch(train) [174][2380/3757] lr: 3.7269e-05 eta: 2:45:48 time: 0.4153 data_time: 0.0220 memory: 17006 grad_norm: 12.1208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1836 loss: 1.1836 2022/07/30 15:53:31 - mmengine - INFO - Epoch(train) [174][2400/3757] lr: 3.7269e-05 eta: 2:45:40 time: 0.4190 data_time: 0.0216 memory: 17006 grad_norm: 12.7674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9127 loss: 0.9127 2022/07/30 15:53:39 - mmengine - INFO - Epoch(train) [174][2420/3757] lr: 3.7269e-05 eta: 2:45:31 time: 0.4249 data_time: 0.0208 memory: 17006 grad_norm: 11.9525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1012 loss: 1.1012 2022/07/30 15:53:48 - mmengine - INFO - Epoch(train) [174][2440/3757] lr: 3.7269e-05 eta: 2:45:23 time: 0.4173 data_time: 0.0203 memory: 17006 grad_norm: 12.1408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0102 loss: 1.0102 2022/07/30 15:53:56 - mmengine - INFO - Epoch(train) [174][2460/3757] lr: 3.7269e-05 eta: 2:45:15 time: 0.4058 data_time: 0.0203 memory: 17006 grad_norm: 12.8722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/07/30 15:54:04 - mmengine - INFO - Epoch(train) [174][2480/3757] lr: 3.7269e-05 eta: 2:45:07 time: 0.4235 data_time: 0.0223 memory: 17006 grad_norm: 12.2172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0234 loss: 1.0234 2022/07/30 15:54:12 - mmengine - INFO - Epoch(train) [174][2500/3757] lr: 3.7269e-05 eta: 2:44:58 time: 0.4114 data_time: 0.0221 memory: 17006 grad_norm: 11.9476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1607 loss: 1.1607 2022/07/30 15:54:21 - mmengine - INFO - Epoch(train) [174][2520/3757] lr: 3.7269e-05 eta: 2:44:50 time: 0.4330 data_time: 0.0227 memory: 17006 grad_norm: 12.4177 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9188 loss: 0.9188 2022/07/30 15:54:29 - mmengine - INFO - Epoch(train) [174][2540/3757] lr: 3.7269e-05 eta: 2:44:42 time: 0.4093 data_time: 0.0225 memory: 17006 grad_norm: 12.7228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1344 loss: 1.1344 2022/07/30 15:54:38 - mmengine - INFO - Epoch(train) [174][2560/3757] lr: 3.7269e-05 eta: 2:44:33 time: 0.4192 data_time: 0.0209 memory: 17006 grad_norm: 12.3828 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1769 loss: 1.1769 2022/07/30 15:54:46 - mmengine - INFO - Epoch(train) [174][2580/3757] lr: 3.7269e-05 eta: 2:44:25 time: 0.4077 data_time: 0.0218 memory: 17006 grad_norm: 12.3613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2140 loss: 1.2140 2022/07/30 15:54:54 - mmengine - INFO - Epoch(train) [174][2600/3757] lr: 3.7269e-05 eta: 2:44:17 time: 0.4165 data_time: 0.0212 memory: 17006 grad_norm: 11.9072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9694 loss: 0.9694 2022/07/30 15:55:03 - mmengine - INFO - Epoch(train) [174][2620/3757] lr: 3.7269e-05 eta: 2:44:08 time: 0.4173 data_time: 0.0218 memory: 17006 grad_norm: 11.8085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9958 loss: 0.9958 2022/07/30 15:55:11 - mmengine - INFO - Epoch(train) [174][2640/3757] lr: 3.7269e-05 eta: 2:44:00 time: 0.4273 data_time: 0.0233 memory: 17006 grad_norm: 12.0331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9702 loss: 0.9702 2022/07/30 15:55:20 - mmengine - INFO - Epoch(train) [174][2660/3757] lr: 3.7269e-05 eta: 2:43:52 time: 0.4179 data_time: 0.0209 memory: 17006 grad_norm: 12.6604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2590 loss: 1.2590 2022/07/30 15:55:28 - mmengine - INFO - Epoch(train) [174][2680/3757] lr: 3.7269e-05 eta: 2:43:43 time: 0.4374 data_time: 0.0188 memory: 17006 grad_norm: 12.1643 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2121 loss: 1.2121 2022/07/30 15:55:37 - mmengine - INFO - Epoch(train) [174][2700/3757] lr: 3.7269e-05 eta: 2:43:35 time: 0.4063 data_time: 0.0190 memory: 17006 grad_norm: 11.5462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9049 loss: 0.9049 2022/07/30 15:55:45 - mmengine - INFO - Epoch(train) [174][2720/3757] lr: 3.7269e-05 eta: 2:43:27 time: 0.4193 data_time: 0.0232 memory: 17006 grad_norm: 11.6615 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9707 loss: 0.9707 2022/07/30 15:55:53 - mmengine - INFO - Epoch(train) [174][2740/3757] lr: 3.7269e-05 eta: 2:43:18 time: 0.4073 data_time: 0.0194 memory: 17006 grad_norm: 12.4119 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6113 loss: 1.6113 2022/07/30 15:56:02 - mmengine - INFO - Epoch(train) [174][2760/3757] lr: 3.7269e-05 eta: 2:43:10 time: 0.4247 data_time: 0.0218 memory: 17006 grad_norm: 11.8961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9086 loss: 0.9086 2022/07/30 15:56:10 - mmengine - INFO - Epoch(train) [174][2780/3757] lr: 3.7269e-05 eta: 2:43:02 time: 0.4094 data_time: 0.0217 memory: 17006 grad_norm: 12.6812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3429 loss: 1.3429 2022/07/30 15:56:18 - mmengine - INFO - Epoch(train) [174][2800/3757] lr: 3.7269e-05 eta: 2:42:53 time: 0.4197 data_time: 0.0227 memory: 17006 grad_norm: 12.2503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0846 loss: 1.0846 2022/07/30 15:56:27 - mmengine - INFO - Epoch(train) [174][2820/3757] lr: 3.7269e-05 eta: 2:42:45 time: 0.4072 data_time: 0.0211 memory: 17006 grad_norm: 12.2463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0640 loss: 1.0640 2022/07/30 15:56:35 - mmengine - INFO - Epoch(train) [174][2840/3757] lr: 3.7269e-05 eta: 2:42:37 time: 0.4070 data_time: 0.0201 memory: 17006 grad_norm: 11.9113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0496 loss: 1.0496 2022/07/30 15:56:43 - mmengine - INFO - Epoch(train) [174][2860/3757] lr: 3.7269e-05 eta: 2:42:28 time: 0.4179 data_time: 0.0223 memory: 17006 grad_norm: 12.1763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0436 loss: 1.0436 2022/07/30 15:56:51 - mmengine - INFO - Epoch(train) [174][2880/3757] lr: 3.7269e-05 eta: 2:42:20 time: 0.4078 data_time: 0.0204 memory: 17006 grad_norm: 12.6334 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0998 loss: 1.0998 2022/07/30 15:57:00 - mmengine - INFO - Epoch(train) [174][2900/3757] lr: 3.7269e-05 eta: 2:42:12 time: 0.4262 data_time: 0.0227 memory: 17006 grad_norm: 12.3272 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0180 loss: 1.0180 2022/07/30 15:57:08 - mmengine - INFO - Epoch(train) [174][2920/3757] lr: 3.7269e-05 eta: 2:42:04 time: 0.4085 data_time: 0.0204 memory: 17006 grad_norm: 12.3332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2335 loss: 1.2335 2022/07/30 15:57:16 - mmengine - INFO - Epoch(train) [174][2940/3757] lr: 3.7269e-05 eta: 2:41:55 time: 0.4064 data_time: 0.0209 memory: 17006 grad_norm: 12.3238 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3687 loss: 1.3687 2022/07/30 15:57:25 - mmengine - INFO - Epoch(train) [174][2960/3757] lr: 3.7269e-05 eta: 2:41:47 time: 0.4299 data_time: 0.0208 memory: 17006 grad_norm: 12.1504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0169 loss: 1.0169 2022/07/30 15:57:33 - mmengine - INFO - Epoch(train) [174][2980/3757] lr: 3.7269e-05 eta: 2:41:39 time: 0.4085 data_time: 0.0216 memory: 17006 grad_norm: 12.1111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0377 loss: 1.0377 2022/07/30 15:57:42 - mmengine - INFO - Epoch(train) [174][3000/3757] lr: 3.7269e-05 eta: 2:41:30 time: 0.4225 data_time: 0.0219 memory: 17006 grad_norm: 12.4091 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0559 loss: 1.0559 2022/07/30 15:57:50 - mmengine - INFO - Epoch(train) [174][3020/3757] lr: 3.7269e-05 eta: 2:41:22 time: 0.4099 data_time: 0.0213 memory: 17006 grad_norm: 12.5559 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2289 loss: 1.2289 2022/07/30 15:57:58 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 15:57:58 - mmengine - INFO - Epoch(train) [174][3040/3757] lr: 3.7269e-05 eta: 2:41:14 time: 0.4265 data_time: 0.0228 memory: 17006 grad_norm: 12.1179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1924 loss: 1.1924 2022/07/30 15:58:07 - mmengine - INFO - Epoch(train) [174][3060/3757] lr: 3.7269e-05 eta: 2:41:05 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 11.8634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9814 loss: 0.9814 2022/07/30 15:58:15 - mmengine - INFO - Epoch(train) [174][3080/3757] lr: 3.7269e-05 eta: 2:40:57 time: 0.4071 data_time: 0.0209 memory: 17006 grad_norm: 12.0327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1561 loss: 1.1561 2022/07/30 15:58:23 - mmengine - INFO - Epoch(train) [174][3100/3757] lr: 3.7269e-05 eta: 2:40:49 time: 0.4351 data_time: 0.0240 memory: 17006 grad_norm: 12.0246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1663 loss: 1.1663 2022/07/30 15:58:32 - mmengine - INFO - Epoch(train) [174][3120/3757] lr: 3.7269e-05 eta: 2:40:40 time: 0.4090 data_time: 0.0220 memory: 17006 grad_norm: 12.3477 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1432 loss: 1.1432 2022/07/30 15:58:40 - mmengine - INFO - Epoch(train) [174][3140/3757] lr: 3.7269e-05 eta: 2:40:32 time: 0.4323 data_time: 0.0213 memory: 17006 grad_norm: 12.4306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8596 loss: 0.8596 2022/07/30 15:58:49 - mmengine - INFO - Epoch(train) [174][3160/3757] lr: 3.7269e-05 eta: 2:40:24 time: 0.4056 data_time: 0.0198 memory: 17006 grad_norm: 12.2636 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0527 loss: 1.0527 2022/07/30 15:58:57 - mmengine - INFO - Epoch(train) [174][3180/3757] lr: 3.7269e-05 eta: 2:40:15 time: 0.4068 data_time: 0.0197 memory: 17006 grad_norm: 12.2481 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8626 loss: 0.8626 2022/07/30 15:59:06 - mmengine - INFO - Epoch(train) [174][3200/3757] lr: 3.7269e-05 eta: 2:40:07 time: 0.4409 data_time: 0.0228 memory: 17006 grad_norm: 12.1386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2938 loss: 1.2938 2022/07/30 15:59:14 - mmengine - INFO - Epoch(train) [174][3220/3757] lr: 3.7269e-05 eta: 2:39:59 time: 0.4074 data_time: 0.0211 memory: 17006 grad_norm: 12.1585 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1188 loss: 1.1188 2022/07/30 15:59:22 - mmengine - INFO - Epoch(train) [174][3240/3757] lr: 3.7269e-05 eta: 2:39:50 time: 0.4221 data_time: 0.0233 memory: 17006 grad_norm: 12.2717 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0702 loss: 1.0702 2022/07/30 15:59:30 - mmengine - INFO - Epoch(train) [174][3260/3757] lr: 3.7269e-05 eta: 2:39:42 time: 0.4083 data_time: 0.0221 memory: 17006 grad_norm: 12.2894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/07/30 15:59:39 - mmengine - INFO - Epoch(train) [174][3280/3757] lr: 3.7269e-05 eta: 2:39:34 time: 0.4289 data_time: 0.0216 memory: 17006 grad_norm: 12.0523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3849 loss: 1.3849 2022/07/30 15:59:47 - mmengine - INFO - Epoch(train) [174][3300/3757] lr: 3.7269e-05 eta: 2:39:26 time: 0.4050 data_time: 0.0202 memory: 17006 grad_norm: 12.8303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3640 loss: 1.3640 2022/07/30 15:59:55 - mmengine - INFO - Epoch(train) [174][3320/3757] lr: 3.7269e-05 eta: 2:39:17 time: 0.4091 data_time: 0.0218 memory: 17006 grad_norm: 12.0940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1187 loss: 1.1187 2022/07/30 16:00:04 - mmengine - INFO - Epoch(train) [174][3340/3757] lr: 3.7269e-05 eta: 2:39:09 time: 0.4254 data_time: 0.0234 memory: 17006 grad_norm: 12.1569 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8776 loss: 0.8776 2022/07/30 16:00:12 - mmengine - INFO - Epoch(train) [174][3360/3757] lr: 3.7269e-05 eta: 2:39:01 time: 0.4075 data_time: 0.0210 memory: 17006 grad_norm: 12.0867 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0296 loss: 1.0296 2022/07/30 16:00:20 - mmengine - INFO - Epoch(train) [174][3380/3757] lr: 3.7269e-05 eta: 2:38:52 time: 0.4195 data_time: 0.0231 memory: 17006 grad_norm: 12.6682 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0464 loss: 1.0464 2022/07/30 16:00:29 - mmengine - INFO - Epoch(train) [174][3400/3757] lr: 3.7269e-05 eta: 2:38:44 time: 0.4073 data_time: 0.0210 memory: 17006 grad_norm: 12.5274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1682 loss: 1.1682 2022/07/30 16:00:37 - mmengine - INFO - Epoch(train) [174][3420/3757] lr: 3.7269e-05 eta: 2:38:36 time: 0.4065 data_time: 0.0204 memory: 17006 grad_norm: 12.9051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1097 loss: 1.1097 2022/07/30 16:00:45 - mmengine - INFO - Epoch(train) [174][3440/3757] lr: 3.7269e-05 eta: 2:38:27 time: 0.4192 data_time: 0.0223 memory: 17006 grad_norm: 11.9299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9692 loss: 0.9692 2022/07/30 16:00:53 - mmengine - INFO - Epoch(train) [174][3460/3757] lr: 3.7269e-05 eta: 2:38:19 time: 0.4076 data_time: 0.0219 memory: 17006 grad_norm: 12.6322 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/07/30 16:01:02 - mmengine - INFO - Epoch(train) [174][3480/3757] lr: 3.7269e-05 eta: 2:38:11 time: 0.4124 data_time: 0.0221 memory: 17006 grad_norm: 12.3588 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3513 loss: 1.3513 2022/07/30 16:01:10 - mmengine - INFO - Epoch(train) [174][3500/3757] lr: 3.7269e-05 eta: 2:38:02 time: 0.4073 data_time: 0.0208 memory: 17006 grad_norm: 12.1830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9942 loss: 0.9942 2022/07/30 16:01:18 - mmengine - INFO - Epoch(train) [174][3520/3757] lr: 3.7269e-05 eta: 2:37:54 time: 0.4166 data_time: 0.0220 memory: 17006 grad_norm: 12.6603 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9571 loss: 0.9571 2022/07/30 16:01:26 - mmengine - INFO - Epoch(train) [174][3540/3757] lr: 3.7269e-05 eta: 2:37:46 time: 0.4065 data_time: 0.0203 memory: 17006 grad_norm: 12.0140 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1757 loss: 1.1757 2022/07/30 16:01:35 - mmengine - INFO - Epoch(train) [174][3560/3757] lr: 3.7269e-05 eta: 2:37:37 time: 0.4152 data_time: 0.0221 memory: 17006 grad_norm: 11.9386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0583 loss: 1.0583 2022/07/30 16:01:43 - mmengine - INFO - Epoch(train) [174][3580/3757] lr: 3.7269e-05 eta: 2:37:29 time: 0.4120 data_time: 0.0220 memory: 17006 grad_norm: 12.1440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/07/30 16:01:51 - mmengine - INFO - Epoch(train) [174][3600/3757] lr: 3.7269e-05 eta: 2:37:21 time: 0.4108 data_time: 0.0225 memory: 17006 grad_norm: 12.4667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/07/30 16:02:00 - mmengine - INFO - Epoch(train) [174][3620/3757] lr: 3.7269e-05 eta: 2:37:12 time: 0.4158 data_time: 0.0218 memory: 17006 grad_norm: 12.2107 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2350 loss: 1.2350 2022/07/30 16:02:08 - mmengine - INFO - Epoch(train) [174][3640/3757] lr: 3.7269e-05 eta: 2:37:04 time: 0.4147 data_time: 0.0208 memory: 17006 grad_norm: 12.2835 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/07/30 16:02:16 - mmengine - INFO - Epoch(train) [174][3660/3757] lr: 3.7269e-05 eta: 2:36:56 time: 0.4085 data_time: 0.0203 memory: 17006 grad_norm: 11.9479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2428 loss: 1.2428 2022/07/30 16:02:24 - mmengine - INFO - Epoch(train) [174][3680/3757] lr: 3.7269e-05 eta: 2:36:47 time: 0.4119 data_time: 0.0202 memory: 17006 grad_norm: 12.6815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4302 loss: 1.4302 2022/07/30 16:02:33 - mmengine - INFO - Epoch(train) [174][3700/3757] lr: 3.7269e-05 eta: 2:36:39 time: 0.4110 data_time: 0.0219 memory: 17006 grad_norm: 12.3048 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8694 loss: 0.8694 2022/07/30 16:02:41 - mmengine - INFO - Epoch(train) [174][3720/3757] lr: 3.7269e-05 eta: 2:36:31 time: 0.4095 data_time: 0.0219 memory: 17006 grad_norm: 11.8902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0291 loss: 1.0291 2022/07/30 16:02:49 - mmengine - INFO - Epoch(train) [174][3740/3757] lr: 3.7269e-05 eta: 2:36:22 time: 0.4121 data_time: 0.0205 memory: 17006 grad_norm: 11.9675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0808 loss: 1.0808 2022/07/30 16:02:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:02:56 - mmengine - INFO - Epoch(train) [174][3757/3757] lr: 3.7269e-05 eta: 2:36:22 time: 0.3956 data_time: 0.0199 memory: 17006 grad_norm: 12.0480 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9459 loss: 0.9459 2022/07/30 16:02:56 - mmengine - INFO - Saving checkpoint at 174 epochs 2022/07/30 16:03:08 - mmengine - INFO - Epoch(train) [175][20/3757] lr: 2.7391e-05 eta: 2:36:06 time: 0.4715 data_time: 0.0822 memory: 17006 grad_norm: 12.1631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0028 loss: 1.0028 2022/07/30 16:03:17 - mmengine - INFO - Epoch(train) [175][40/3757] lr: 2.7391e-05 eta: 2:35:58 time: 0.4106 data_time: 0.0242 memory: 17006 grad_norm: 12.4607 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0607 loss: 1.0607 2022/07/30 16:03:25 - mmengine - INFO - Epoch(train) [175][60/3757] lr: 2.7391e-05 eta: 2:35:50 time: 0.4112 data_time: 0.0192 memory: 17006 grad_norm: 12.1304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/07/30 16:03:33 - mmengine - INFO - Epoch(train) [175][80/3757] lr: 2.7391e-05 eta: 2:35:41 time: 0.4096 data_time: 0.0221 memory: 17006 grad_norm: 11.8163 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1166 loss: 1.1166 2022/07/30 16:03:41 - mmengine - INFO - Epoch(train) [175][100/3757] lr: 2.7391e-05 eta: 2:35:33 time: 0.4175 data_time: 0.0204 memory: 17006 grad_norm: 11.7611 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1851 loss: 1.1851 2022/07/30 16:03:50 - mmengine - INFO - Epoch(train) [175][120/3757] lr: 2.7391e-05 eta: 2:35:25 time: 0.4115 data_time: 0.0218 memory: 17006 grad_norm: 12.4628 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0005 loss: 1.0005 2022/07/30 16:03:58 - mmengine - INFO - Epoch(train) [175][140/3757] lr: 2.7391e-05 eta: 2:35:16 time: 0.4074 data_time: 0.0196 memory: 17006 grad_norm: 12.3876 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1164 loss: 1.1164 2022/07/30 16:04:06 - mmengine - INFO - Epoch(train) [175][160/3757] lr: 2.7391e-05 eta: 2:35:08 time: 0.4121 data_time: 0.0211 memory: 17006 grad_norm: 12.2434 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1923 loss: 1.1923 2022/07/30 16:04:14 - mmengine - INFO - Epoch(train) [175][180/3757] lr: 2.7391e-05 eta: 2:35:00 time: 0.4057 data_time: 0.0187 memory: 17006 grad_norm: 11.7812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2262 loss: 1.2262 2022/07/30 16:04:23 - mmengine - INFO - Epoch(train) [175][200/3757] lr: 2.7391e-05 eta: 2:34:51 time: 0.4243 data_time: 0.0229 memory: 17006 grad_norm: 12.3846 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1917 loss: 1.1917 2022/07/30 16:04:31 - mmengine - INFO - Epoch(train) [175][220/3757] lr: 2.7391e-05 eta: 2:34:43 time: 0.4079 data_time: 0.0193 memory: 17006 grad_norm: 11.9960 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1792 loss: 1.1792 2022/07/30 16:04:39 - mmengine - INFO - Epoch(train) [175][240/3757] lr: 2.7391e-05 eta: 2:34:35 time: 0.4152 data_time: 0.0221 memory: 17006 grad_norm: 12.5356 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2177 loss: 1.2177 2022/07/30 16:04:47 - mmengine - INFO - Epoch(train) [175][260/3757] lr: 2.7391e-05 eta: 2:34:26 time: 0.4070 data_time: 0.0198 memory: 17006 grad_norm: 12.8726 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1517 loss: 1.1517 2022/07/30 16:04:56 - mmengine - INFO - Epoch(train) [175][280/3757] lr: 2.7391e-05 eta: 2:34:18 time: 0.4067 data_time: 0.0211 memory: 17006 grad_norm: 12.2546 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2529 loss: 1.2529 2022/07/30 16:04:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:05:04 - mmengine - INFO - Epoch(train) [175][300/3757] lr: 2.7391e-05 eta: 2:34:10 time: 0.4224 data_time: 0.0220 memory: 17006 grad_norm: 11.8824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/07/30 16:05:13 - mmengine - INFO - Epoch(train) [175][320/3757] lr: 2.7391e-05 eta: 2:34:01 time: 0.4359 data_time: 0.0214 memory: 17006 grad_norm: 12.0058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0469 loss: 1.0469 2022/07/30 16:05:21 - mmengine - INFO - Epoch(train) [175][340/3757] lr: 2.7391e-05 eta: 2:33:53 time: 0.4180 data_time: 0.0231 memory: 17006 grad_norm: 12.2595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1805 loss: 1.1805 2022/07/30 16:05:29 - mmengine - INFO - Epoch(train) [175][360/3757] lr: 2.7391e-05 eta: 2:33:45 time: 0.4081 data_time: 0.0218 memory: 17006 grad_norm: 12.2904 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1768 loss: 1.1768 2022/07/30 16:05:38 - mmengine - INFO - Epoch(train) [175][380/3757] lr: 2.7391e-05 eta: 2:33:36 time: 0.4072 data_time: 0.0186 memory: 17006 grad_norm: 12.6400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1380 loss: 1.1380 2022/07/30 16:05:46 - mmengine - INFO - Epoch(train) [175][400/3757] lr: 2.7391e-05 eta: 2:33:28 time: 0.4380 data_time: 0.0223 memory: 17006 grad_norm: 12.4974 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2294 loss: 1.2294 2022/07/30 16:05:55 - mmengine - INFO - Epoch(train) [175][420/3757] lr: 2.7391e-05 eta: 2:33:20 time: 0.4068 data_time: 0.0193 memory: 17006 grad_norm: 12.1120 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1329 loss: 1.1329 2022/07/30 16:06:03 - mmengine - INFO - Epoch(train) [175][440/3757] lr: 2.7391e-05 eta: 2:33:12 time: 0.4353 data_time: 0.0228 memory: 17006 grad_norm: 12.1317 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1770 loss: 1.1770 2022/07/30 16:06:12 - mmengine - INFO - Epoch(train) [175][460/3757] lr: 2.7391e-05 eta: 2:33:03 time: 0.4086 data_time: 0.0194 memory: 17006 grad_norm: 12.5134 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4665 loss: 1.4665 2022/07/30 16:06:20 - mmengine - INFO - Epoch(train) [175][480/3757] lr: 2.7391e-05 eta: 2:32:55 time: 0.4316 data_time: 0.0235 memory: 17006 grad_norm: 12.1481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1455 loss: 1.1455 2022/07/30 16:06:28 - mmengine - INFO - Epoch(train) [175][500/3757] lr: 2.7391e-05 eta: 2:32:47 time: 0.4078 data_time: 0.0196 memory: 17006 grad_norm: 12.2650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0327 loss: 1.0327 2022/07/30 16:06:37 - mmengine - INFO - Epoch(train) [175][520/3757] lr: 2.7391e-05 eta: 2:32:38 time: 0.4076 data_time: 0.0214 memory: 17006 grad_norm: 12.2477 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/07/30 16:06:45 - mmengine - INFO - Epoch(train) [175][540/3757] lr: 2.7391e-05 eta: 2:32:30 time: 0.4239 data_time: 0.0216 memory: 17006 grad_norm: 12.3155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/07/30 16:06:53 - mmengine - INFO - Epoch(train) [175][560/3757] lr: 2.7391e-05 eta: 2:32:22 time: 0.4086 data_time: 0.0231 memory: 17006 grad_norm: 12.3227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/07/30 16:07:02 - mmengine - INFO - Epoch(train) [175][580/3757] lr: 2.7391e-05 eta: 2:32:13 time: 0.4163 data_time: 0.0185 memory: 17006 grad_norm: 12.2871 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1177 loss: 1.1177 2022/07/30 16:07:10 - mmengine - INFO - Epoch(train) [175][600/3757] lr: 2.7391e-05 eta: 2:32:05 time: 0.4104 data_time: 0.0224 memory: 17006 grad_norm: 12.2600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9141 loss: 0.9141 2022/07/30 16:07:18 - mmengine - INFO - Epoch(train) [175][620/3757] lr: 2.7391e-05 eta: 2:31:57 time: 0.4142 data_time: 0.0209 memory: 17006 grad_norm: 11.6779 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1338 loss: 1.1338 2022/07/30 16:07:26 - mmengine - INFO - Epoch(train) [175][640/3757] lr: 2.7391e-05 eta: 2:31:48 time: 0.4130 data_time: 0.0212 memory: 17006 grad_norm: 11.9922 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2259 loss: 1.2259 2022/07/30 16:07:35 - mmengine - INFO - Epoch(train) [175][660/3757] lr: 2.7391e-05 eta: 2:31:40 time: 0.4064 data_time: 0.0206 memory: 17006 grad_norm: 12.3728 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0955 loss: 1.0955 2022/07/30 16:07:43 - mmengine - INFO - Epoch(train) [175][680/3757] lr: 2.7391e-05 eta: 2:31:32 time: 0.4220 data_time: 0.0225 memory: 17006 grad_norm: 12.3684 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0342 loss: 1.0342 2022/07/30 16:07:51 - mmengine - INFO - Epoch(train) [175][700/3757] lr: 2.7391e-05 eta: 2:31:23 time: 0.4065 data_time: 0.0191 memory: 17006 grad_norm: 12.4960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3360 loss: 1.3360 2022/07/30 16:07:59 - mmengine - INFO - Epoch(train) [175][720/3757] lr: 2.7391e-05 eta: 2:31:15 time: 0.4084 data_time: 0.0215 memory: 17006 grad_norm: 12.5858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4069 loss: 1.4069 2022/07/30 16:08:08 - mmengine - INFO - Epoch(train) [175][740/3757] lr: 2.7391e-05 eta: 2:31:07 time: 0.4067 data_time: 0.0203 memory: 17006 grad_norm: 12.5825 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2216 loss: 1.2216 2022/07/30 16:08:16 - mmengine - INFO - Epoch(train) [175][760/3757] lr: 2.7391e-05 eta: 2:30:58 time: 0.4216 data_time: 0.0214 memory: 17006 grad_norm: 12.2468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8907 loss: 0.8907 2022/07/30 16:08:25 - mmengine - INFO - Epoch(train) [175][780/3757] lr: 2.7391e-05 eta: 2:30:50 time: 0.4247 data_time: 0.0197 memory: 17006 grad_norm: 11.6914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9158 loss: 0.9158 2022/07/30 16:08:33 - mmengine - INFO - Epoch(train) [175][800/3757] lr: 2.7391e-05 eta: 2:30:42 time: 0.4084 data_time: 0.0216 memory: 17006 grad_norm: 12.3875 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8345 loss: 0.8345 2022/07/30 16:08:41 - mmengine - INFO - Epoch(train) [175][820/3757] lr: 2.7391e-05 eta: 2:30:33 time: 0.4136 data_time: 0.0193 memory: 17006 grad_norm: 12.3451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0866 loss: 1.0866 2022/07/30 16:08:49 - mmengine - INFO - Epoch(train) [175][840/3757] lr: 2.7391e-05 eta: 2:30:25 time: 0.4139 data_time: 0.0218 memory: 17006 grad_norm: 12.7471 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2179 loss: 1.2179 2022/07/30 16:08:58 - mmengine - INFO - Epoch(train) [175][860/3757] lr: 2.7391e-05 eta: 2:30:17 time: 0.4057 data_time: 0.0203 memory: 17006 grad_norm: 11.5464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1832 loss: 1.1832 2022/07/30 16:09:06 - mmengine - INFO - Epoch(train) [175][880/3757] lr: 2.7391e-05 eta: 2:30:08 time: 0.4134 data_time: 0.0224 memory: 17006 grad_norm: 11.9467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0767 loss: 1.0767 2022/07/30 16:09:14 - mmengine - INFO - Epoch(train) [175][900/3757] lr: 2.7391e-05 eta: 2:30:00 time: 0.4071 data_time: 0.0188 memory: 17006 grad_norm: 11.5282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/07/30 16:09:22 - mmengine - INFO - Epoch(train) [175][920/3757] lr: 2.7391e-05 eta: 2:29:52 time: 0.4168 data_time: 0.0250 memory: 17006 grad_norm: 11.8697 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3337 loss: 1.3337 2022/07/30 16:09:31 - mmengine - INFO - Epoch(train) [175][940/3757] lr: 2.7391e-05 eta: 2:29:44 time: 0.4061 data_time: 0.0185 memory: 17006 grad_norm: 12.2598 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4141 loss: 1.4141 2022/07/30 16:09:39 - mmengine - INFO - Epoch(train) [175][960/3757] lr: 2.7391e-05 eta: 2:29:35 time: 0.4254 data_time: 0.0224 memory: 17006 grad_norm: 12.4181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1869 loss: 1.1869 2022/07/30 16:09:47 - mmengine - INFO - Epoch(train) [175][980/3757] lr: 2.7391e-05 eta: 2:29:27 time: 0.4050 data_time: 0.0187 memory: 17006 grad_norm: 11.1175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0419 loss: 1.0419 2022/07/30 16:09:56 - mmengine - INFO - Epoch(train) [175][1000/3757] lr: 2.7391e-05 eta: 2:29:19 time: 0.4103 data_time: 0.0224 memory: 17006 grad_norm: 12.1952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0967 loss: 1.0967 2022/07/30 16:10:04 - mmengine - INFO - Epoch(train) [175][1020/3757] lr: 2.7391e-05 eta: 2:29:10 time: 0.4132 data_time: 0.0201 memory: 17006 grad_norm: 12.1395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1434 loss: 1.1434 2022/07/30 16:10:12 - mmengine - INFO - Epoch(train) [175][1040/3757] lr: 2.7391e-05 eta: 2:29:02 time: 0.4075 data_time: 0.0217 memory: 17006 grad_norm: 12.4142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3338 loss: 1.3338 2022/07/30 16:10:20 - mmengine - INFO - Epoch(train) [175][1060/3757] lr: 2.7391e-05 eta: 2:28:54 time: 0.4173 data_time: 0.0214 memory: 17006 grad_norm: 12.4129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0543 loss: 1.0543 2022/07/30 16:10:29 - mmengine - INFO - Epoch(train) [175][1080/3757] lr: 2.7391e-05 eta: 2:28:45 time: 0.4085 data_time: 0.0213 memory: 17006 grad_norm: 12.3814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9118 loss: 0.9118 2022/07/30 16:10:37 - mmengine - INFO - Epoch(train) [175][1100/3757] lr: 2.7391e-05 eta: 2:28:37 time: 0.4060 data_time: 0.0185 memory: 17006 grad_norm: 11.7532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0778 loss: 1.0778 2022/07/30 16:10:45 - mmengine - INFO - Epoch(train) [175][1120/3757] lr: 2.7391e-05 eta: 2:28:29 time: 0.4208 data_time: 0.0230 memory: 17006 grad_norm: 11.9935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1134 loss: 1.1134 2022/07/30 16:10:54 - mmengine - INFO - Epoch(train) [175][1140/3757] lr: 2.7391e-05 eta: 2:28:20 time: 0.4146 data_time: 0.0187 memory: 17006 grad_norm: 12.5094 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0822 loss: 1.0822 2022/07/30 16:11:02 - mmengine - INFO - Epoch(train) [175][1160/3757] lr: 2.7391e-05 eta: 2:28:12 time: 0.4176 data_time: 0.0228 memory: 17006 grad_norm: 11.8155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2153 loss: 1.2153 2022/07/30 16:11:10 - mmengine - INFO - Epoch(train) [175][1180/3757] lr: 2.7391e-05 eta: 2:28:04 time: 0.4069 data_time: 0.0193 memory: 17006 grad_norm: 11.8565 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0534 loss: 1.0534 2022/07/30 16:11:18 - mmengine - INFO - Epoch(train) [175][1200/3757] lr: 2.7391e-05 eta: 2:27:55 time: 0.4089 data_time: 0.0213 memory: 17006 grad_norm: 12.3622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0658 loss: 1.0658 2022/07/30 16:11:27 - mmengine - INFO - Epoch(train) [175][1220/3757] lr: 2.7391e-05 eta: 2:27:47 time: 0.4135 data_time: 0.0205 memory: 17006 grad_norm: 12.2103 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0831 loss: 1.0831 2022/07/30 16:11:35 - mmengine - INFO - Epoch(train) [175][1240/3757] lr: 2.7391e-05 eta: 2:27:39 time: 0.4347 data_time: 0.0212 memory: 17006 grad_norm: 12.7717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1397 loss: 1.1397 2022/07/30 16:11:44 - mmengine - INFO - Epoch(train) [175][1260/3757] lr: 2.7391e-05 eta: 2:27:30 time: 0.4170 data_time: 0.0204 memory: 17006 grad_norm: 12.0422 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1523 loss: 1.1523 2022/07/30 16:11:52 - mmengine - INFO - Epoch(train) [175][1280/3757] lr: 2.7391e-05 eta: 2:27:22 time: 0.4086 data_time: 0.0222 memory: 17006 grad_norm: 12.2742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1723 loss: 1.1723 2022/07/30 16:11:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:12:00 - mmengine - INFO - Epoch(train) [175][1300/3757] lr: 2.7391e-05 eta: 2:27:14 time: 0.4177 data_time: 0.0202 memory: 17006 grad_norm: 11.8579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1821 loss: 1.1821 2022/07/30 16:12:08 - mmengine - INFO - Epoch(train) [175][1320/3757] lr: 2.7391e-05 eta: 2:27:05 time: 0.4080 data_time: 0.0216 memory: 17006 grad_norm: 11.8803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1257 loss: 1.1257 2022/07/30 16:12:17 - mmengine - INFO - Epoch(train) [175][1340/3757] lr: 2.7391e-05 eta: 2:26:57 time: 0.4269 data_time: 0.0186 memory: 17006 grad_norm: 11.7196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1482 loss: 1.1482 2022/07/30 16:12:26 - mmengine - INFO - Epoch(train) [175][1360/3757] lr: 2.7391e-05 eta: 2:26:49 time: 0.4222 data_time: 0.0229 memory: 17006 grad_norm: 12.1865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0132 loss: 1.0132 2022/07/30 16:12:34 - mmengine - INFO - Epoch(train) [175][1380/3757] lr: 2.7391e-05 eta: 2:26:40 time: 0.4070 data_time: 0.0189 memory: 17006 grad_norm: 12.8501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1927 loss: 1.1927 2022/07/30 16:12:42 - mmengine - INFO - Epoch(train) [175][1400/3757] lr: 2.7391e-05 eta: 2:26:32 time: 0.4210 data_time: 0.0226 memory: 17006 grad_norm: 12.2918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3557 loss: 1.3557 2022/07/30 16:12:50 - mmengine - INFO - Epoch(train) [175][1420/3757] lr: 2.7391e-05 eta: 2:26:24 time: 0.4055 data_time: 0.0185 memory: 17006 grad_norm: 12.1146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1877 loss: 1.1877 2022/07/30 16:12:58 - mmengine - INFO - Epoch(train) [175][1440/3757] lr: 2.7391e-05 eta: 2:26:15 time: 0.4079 data_time: 0.0214 memory: 17006 grad_norm: 12.3086 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1275 loss: 1.1275 2022/07/30 16:13:07 - mmengine - INFO - Epoch(train) [175][1460/3757] lr: 2.7391e-05 eta: 2:26:07 time: 0.4176 data_time: 0.0200 memory: 17006 grad_norm: 12.1753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0920 loss: 1.0920 2022/07/30 16:13:15 - mmengine - INFO - Epoch(train) [175][1480/3757] lr: 2.7391e-05 eta: 2:25:59 time: 0.4080 data_time: 0.0223 memory: 17006 grad_norm: 12.1043 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0576 loss: 1.0576 2022/07/30 16:13:23 - mmengine - INFO - Epoch(train) [175][1500/3757] lr: 2.7391e-05 eta: 2:25:51 time: 0.4088 data_time: 0.0202 memory: 17006 grad_norm: 11.9880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/07/30 16:13:31 - mmengine - INFO - Epoch(train) [175][1520/3757] lr: 2.7391e-05 eta: 2:25:42 time: 0.4100 data_time: 0.0219 memory: 17006 grad_norm: 11.9292 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0323 loss: 1.0323 2022/07/30 16:13:40 - mmengine - INFO - Epoch(train) [175][1540/3757] lr: 2.7391e-05 eta: 2:25:34 time: 0.4388 data_time: 0.0185 memory: 17006 grad_norm: 11.9877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1238 loss: 1.1238 2022/07/30 16:13:48 - mmengine - INFO - Epoch(train) [175][1560/3757] lr: 2.7391e-05 eta: 2:25:26 time: 0.4070 data_time: 0.0224 memory: 17006 grad_norm: 12.0791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9959 loss: 0.9959 2022/07/30 16:13:57 - mmengine - INFO - Epoch(train) [175][1580/3757] lr: 2.7391e-05 eta: 2:25:17 time: 0.4060 data_time: 0.0184 memory: 17006 grad_norm: 12.5107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9939 loss: 0.9939 2022/07/30 16:14:05 - mmengine - INFO - Epoch(train) [175][1600/3757] lr: 2.7391e-05 eta: 2:25:09 time: 0.4272 data_time: 0.0225 memory: 17006 grad_norm: 11.8097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1088 loss: 1.1088 2022/07/30 16:14:13 - mmengine - INFO - Epoch(train) [175][1620/3757] lr: 2.7391e-05 eta: 2:25:01 time: 0.4062 data_time: 0.0193 memory: 17006 grad_norm: 12.1649 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0473 loss: 1.0473 2022/07/30 16:14:22 - mmengine - INFO - Epoch(train) [175][1640/3757] lr: 2.7391e-05 eta: 2:24:52 time: 0.4343 data_time: 0.0227 memory: 17006 grad_norm: 12.0558 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1230 loss: 1.1230 2022/07/30 16:14:30 - mmengine - INFO - Epoch(train) [175][1660/3757] lr: 2.7391e-05 eta: 2:24:44 time: 0.4068 data_time: 0.0187 memory: 17006 grad_norm: 11.6209 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9151 loss: 0.9151 2022/07/30 16:14:38 - mmengine - INFO - Epoch(train) [175][1680/3757] lr: 2.7391e-05 eta: 2:24:36 time: 0.4061 data_time: 0.0206 memory: 17006 grad_norm: 12.5586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2626 loss: 1.2626 2022/07/30 16:14:47 - mmengine - INFO - Epoch(train) [175][1700/3757] lr: 2.7391e-05 eta: 2:24:27 time: 0.4196 data_time: 0.0204 memory: 17006 grad_norm: 12.3759 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3032 loss: 1.3032 2022/07/30 16:14:55 - mmengine - INFO - Epoch(train) [175][1720/3757] lr: 2.7391e-05 eta: 2:24:19 time: 0.4083 data_time: 0.0229 memory: 17006 grad_norm: 12.7720 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2280 loss: 1.2280 2022/07/30 16:15:04 - mmengine - INFO - Epoch(train) [175][1740/3757] lr: 2.7391e-05 eta: 2:24:11 time: 0.4639 data_time: 0.0202 memory: 17006 grad_norm: 12.6123 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0818 loss: 1.0818 2022/07/30 16:15:13 - mmengine - INFO - Epoch(train) [175][1760/3757] lr: 2.7391e-05 eta: 2:24:02 time: 0.4097 data_time: 0.0216 memory: 17006 grad_norm: 12.1221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1038 loss: 1.1038 2022/07/30 16:15:21 - mmengine - INFO - Epoch(train) [175][1780/3757] lr: 2.7391e-05 eta: 2:23:54 time: 0.4177 data_time: 0.0196 memory: 17006 grad_norm: 12.3958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2275 loss: 1.2275 2022/07/30 16:15:29 - mmengine - INFO - Epoch(train) [175][1800/3757] lr: 2.7391e-05 eta: 2:23:46 time: 0.4119 data_time: 0.0238 memory: 17006 grad_norm: 12.1161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1065 loss: 1.1065 2022/07/30 16:15:37 - mmengine - INFO - Epoch(train) [175][1820/3757] lr: 2.7391e-05 eta: 2:23:37 time: 0.4049 data_time: 0.0181 memory: 17006 grad_norm: 12.3978 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1842 loss: 1.1842 2022/07/30 16:15:46 - mmengine - INFO - Epoch(train) [175][1840/3757] lr: 2.7391e-05 eta: 2:23:29 time: 0.4128 data_time: 0.0232 memory: 17006 grad_norm: 12.3803 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0400 loss: 1.0400 2022/07/30 16:15:54 - mmengine - INFO - Epoch(train) [175][1860/3757] lr: 2.7391e-05 eta: 2:23:21 time: 0.4171 data_time: 0.0193 memory: 17006 grad_norm: 12.8036 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2744 loss: 1.2744 2022/07/30 16:16:02 - mmengine - INFO - Epoch(train) [175][1880/3757] lr: 2.7391e-05 eta: 2:23:13 time: 0.4155 data_time: 0.0219 memory: 17006 grad_norm: 12.3732 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0570 loss: 1.0570 2022/07/30 16:16:11 - mmengine - INFO - Epoch(train) [175][1900/3757] lr: 2.7391e-05 eta: 2:23:04 time: 0.4114 data_time: 0.0206 memory: 17006 grad_norm: 12.3547 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0790 loss: 1.0790 2022/07/30 16:16:19 - mmengine - INFO - Epoch(train) [175][1920/3757] lr: 2.7391e-05 eta: 2:22:56 time: 0.4079 data_time: 0.0208 memory: 17006 grad_norm: 12.4316 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1919 loss: 1.1919 2022/07/30 16:16:27 - mmengine - INFO - Epoch(train) [175][1940/3757] lr: 2.7391e-05 eta: 2:22:48 time: 0.4195 data_time: 0.0220 memory: 17006 grad_norm: 12.3398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4903 loss: 1.4903 2022/07/30 16:16:35 - mmengine - INFO - Epoch(train) [175][1960/3757] lr: 2.7391e-05 eta: 2:22:39 time: 0.4128 data_time: 0.0233 memory: 17006 grad_norm: 12.4487 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1909 loss: 1.1909 2022/07/30 16:16:44 - mmengine - INFO - Epoch(train) [175][1980/3757] lr: 2.7391e-05 eta: 2:22:31 time: 0.4180 data_time: 0.0191 memory: 17006 grad_norm: 12.7965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0873 loss: 1.0873 2022/07/30 16:16:52 - mmengine - INFO - Epoch(train) [175][2000/3757] lr: 2.7391e-05 eta: 2:22:23 time: 0.4200 data_time: 0.0245 memory: 17006 grad_norm: 12.0401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8800 loss: 0.8800 2022/07/30 16:17:01 - mmengine - INFO - Epoch(train) [175][2020/3757] lr: 2.7391e-05 eta: 2:22:14 time: 0.4079 data_time: 0.0195 memory: 17006 grad_norm: 12.0887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0092 loss: 1.0092 2022/07/30 16:17:09 - mmengine - INFO - Epoch(train) [175][2040/3757] lr: 2.7391e-05 eta: 2:22:06 time: 0.4095 data_time: 0.0225 memory: 17006 grad_norm: 12.2448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9868 loss: 0.9868 2022/07/30 16:17:17 - mmengine - INFO - Epoch(train) [175][2060/3757] lr: 2.7391e-05 eta: 2:21:58 time: 0.4121 data_time: 0.0204 memory: 17006 grad_norm: 12.1172 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1456 loss: 1.1456 2022/07/30 16:17:25 - mmengine - INFO - Epoch(train) [175][2080/3757] lr: 2.7391e-05 eta: 2:21:49 time: 0.4110 data_time: 0.0235 memory: 17006 grad_norm: 12.2955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/07/30 16:17:34 - mmengine - INFO - Epoch(train) [175][2100/3757] lr: 2.7391e-05 eta: 2:21:41 time: 0.4472 data_time: 0.0195 memory: 17006 grad_norm: 12.1417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2118 loss: 1.2118 2022/07/30 16:17:42 - mmengine - INFO - Epoch(train) [175][2120/3757] lr: 2.7391e-05 eta: 2:21:33 time: 0.4075 data_time: 0.0224 memory: 17006 grad_norm: 12.3383 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2963 loss: 1.2963 2022/07/30 16:17:51 - mmengine - INFO - Epoch(train) [175][2140/3757] lr: 2.7391e-05 eta: 2:21:24 time: 0.4181 data_time: 0.0206 memory: 17006 grad_norm: 12.0381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/07/30 16:17:59 - mmengine - INFO - Epoch(train) [175][2160/3757] lr: 2.7391e-05 eta: 2:21:16 time: 0.4086 data_time: 0.0217 memory: 17006 grad_norm: 12.5050 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1168 loss: 1.1168 2022/07/30 16:18:07 - mmengine - INFO - Epoch(train) [175][2180/3757] lr: 2.7391e-05 eta: 2:21:08 time: 0.4085 data_time: 0.0196 memory: 17006 grad_norm: 11.9531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0407 loss: 1.0407 2022/07/30 16:18:16 - mmengine - INFO - Epoch(train) [175][2200/3757] lr: 2.7391e-05 eta: 2:20:59 time: 0.4267 data_time: 0.0235 memory: 17006 grad_norm: 11.9982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1801 loss: 1.1801 2022/07/30 16:18:24 - mmengine - INFO - Epoch(train) [175][2220/3757] lr: 2.7391e-05 eta: 2:20:51 time: 0.4081 data_time: 0.0187 memory: 17006 grad_norm: 12.6948 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0117 loss: 1.0117 2022/07/30 16:18:32 - mmengine - INFO - Epoch(train) [175][2240/3757] lr: 2.7391e-05 eta: 2:20:43 time: 0.4231 data_time: 0.0241 memory: 17006 grad_norm: 12.0156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9900 loss: 0.9900 2022/07/30 16:18:41 - mmengine - INFO - Epoch(train) [175][2260/3757] lr: 2.7391e-05 eta: 2:20:34 time: 0.4079 data_time: 0.0187 memory: 17006 grad_norm: 12.4186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2093 loss: 1.2093 2022/07/30 16:18:49 - mmengine - INFO - Epoch(train) [175][2280/3757] lr: 2.7391e-05 eta: 2:20:26 time: 0.4084 data_time: 0.0219 memory: 17006 grad_norm: 12.8163 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/07/30 16:18:51 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:18:58 - mmengine - INFO - Epoch(train) [175][2300/3757] lr: 2.7391e-05 eta: 2:20:18 time: 0.4507 data_time: 0.0212 memory: 17006 grad_norm: 12.4037 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0183 loss: 1.0183 2022/07/30 16:19:06 - mmengine - INFO - Epoch(train) [175][2320/3757] lr: 2.7391e-05 eta: 2:20:10 time: 0.4078 data_time: 0.0214 memory: 17006 grad_norm: 12.4259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1038 loss: 1.1038 2022/07/30 16:19:15 - mmengine - INFO - Epoch(train) [175][2340/3757] lr: 2.7391e-05 eta: 2:20:01 time: 0.4631 data_time: 0.0210 memory: 17006 grad_norm: 13.0443 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1100 loss: 1.1100 2022/07/30 16:19:24 - mmengine - INFO - Epoch(train) [175][2360/3757] lr: 2.7391e-05 eta: 2:19:53 time: 0.4115 data_time: 0.0236 memory: 17006 grad_norm: 12.2691 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2248 loss: 1.2248 2022/07/30 16:19:32 - mmengine - INFO - Epoch(train) [175][2380/3757] lr: 2.7391e-05 eta: 2:19:45 time: 0.4073 data_time: 0.0189 memory: 17006 grad_norm: 12.4612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9171 loss: 0.9171 2022/07/30 16:19:40 - mmengine - INFO - Epoch(train) [175][2400/3757] lr: 2.7391e-05 eta: 2:19:36 time: 0.4215 data_time: 0.0232 memory: 17006 grad_norm: 12.0734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0504 loss: 1.0504 2022/07/30 16:19:48 - mmengine - INFO - Epoch(train) [175][2420/3757] lr: 2.7391e-05 eta: 2:19:28 time: 0.4062 data_time: 0.0201 memory: 17006 grad_norm: 12.6012 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0623 loss: 1.0623 2022/07/30 16:19:57 - mmengine - INFO - Epoch(train) [175][2440/3757] lr: 2.7391e-05 eta: 2:19:20 time: 0.4107 data_time: 0.0215 memory: 17006 grad_norm: 12.8701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2984 loss: 1.2984 2022/07/30 16:20:05 - mmengine - INFO - Epoch(train) [175][2460/3757] lr: 2.7391e-05 eta: 2:19:11 time: 0.4168 data_time: 0.0220 memory: 17006 grad_norm: 12.2401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8791 loss: 0.8791 2022/07/30 16:20:13 - mmengine - INFO - Epoch(train) [175][2480/3757] lr: 2.7391e-05 eta: 2:19:03 time: 0.4080 data_time: 0.0216 memory: 17006 grad_norm: 12.5705 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0836 loss: 1.0836 2022/07/30 16:20:22 - mmengine - INFO - Epoch(train) [175][2500/3757] lr: 2.7391e-05 eta: 2:18:55 time: 0.4350 data_time: 0.0219 memory: 17006 grad_norm: 12.6974 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1259 loss: 1.1259 2022/07/30 16:20:30 - mmengine - INFO - Epoch(train) [175][2520/3757] lr: 2.7391e-05 eta: 2:18:46 time: 0.4088 data_time: 0.0223 memory: 17006 grad_norm: 12.3569 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0908 loss: 1.0908 2022/07/30 16:20:38 - mmengine - INFO - Epoch(train) [175][2540/3757] lr: 2.7391e-05 eta: 2:18:38 time: 0.4056 data_time: 0.0185 memory: 17006 grad_norm: 12.0696 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3539 loss: 1.3539 2022/07/30 16:20:47 - mmengine - INFO - Epoch(train) [175][2560/3757] lr: 2.7391e-05 eta: 2:18:30 time: 0.4311 data_time: 0.0225 memory: 17006 grad_norm: 12.0413 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/07/30 16:20:55 - mmengine - INFO - Epoch(train) [175][2580/3757] lr: 2.7391e-05 eta: 2:18:21 time: 0.4065 data_time: 0.0196 memory: 17006 grad_norm: 13.0136 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0087 loss: 1.0087 2022/07/30 16:21:04 - mmengine - INFO - Epoch(train) [175][2600/3757] lr: 2.7391e-05 eta: 2:18:13 time: 0.4275 data_time: 0.0235 memory: 17006 grad_norm: 12.4490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2422 loss: 1.2422 2022/07/30 16:21:12 - mmengine - INFO - Epoch(train) [175][2620/3757] lr: 2.7391e-05 eta: 2:18:05 time: 0.4061 data_time: 0.0186 memory: 17006 grad_norm: 12.8450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1723 loss: 1.1723 2022/07/30 16:21:20 - mmengine - INFO - Epoch(train) [175][2640/3757] lr: 2.7391e-05 eta: 2:17:57 time: 0.4277 data_time: 0.0251 memory: 17006 grad_norm: 12.2376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9411 loss: 0.9411 2022/07/30 16:21:29 - mmengine - INFO - Epoch(train) [175][2660/3757] lr: 2.7391e-05 eta: 2:17:48 time: 0.4063 data_time: 0.0179 memory: 17006 grad_norm: 12.4315 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2393 loss: 1.2393 2022/07/30 16:21:37 - mmengine - INFO - Epoch(train) [175][2680/3757] lr: 2.7391e-05 eta: 2:17:40 time: 0.4088 data_time: 0.0208 memory: 17006 grad_norm: 12.3921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0481 loss: 1.0481 2022/07/30 16:21:45 - mmengine - INFO - Epoch(train) [175][2700/3757] lr: 2.7391e-05 eta: 2:17:32 time: 0.4192 data_time: 0.0220 memory: 17006 grad_norm: 12.3512 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5303 loss: 1.5303 2022/07/30 16:21:53 - mmengine - INFO - Epoch(train) [175][2720/3757] lr: 2.7391e-05 eta: 2:17:23 time: 0.4093 data_time: 0.0210 memory: 17006 grad_norm: 12.4584 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3418 loss: 1.3418 2022/07/30 16:22:02 - mmengine - INFO - Epoch(train) [175][2740/3757] lr: 2.7391e-05 eta: 2:17:15 time: 0.4267 data_time: 0.0213 memory: 17006 grad_norm: 12.0476 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0833 loss: 1.0833 2022/07/30 16:22:10 - mmengine - INFO - Epoch(train) [175][2760/3757] lr: 2.7391e-05 eta: 2:17:07 time: 0.4085 data_time: 0.0216 memory: 17006 grad_norm: 12.2318 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2573 loss: 1.2573 2022/07/30 16:22:18 - mmengine - INFO - Epoch(train) [175][2780/3757] lr: 2.7391e-05 eta: 2:16:58 time: 0.4071 data_time: 0.0193 memory: 17006 grad_norm: 11.7962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/07/30 16:22:27 - mmengine - INFO - Epoch(train) [175][2800/3757] lr: 2.7391e-05 eta: 2:16:50 time: 0.4164 data_time: 0.0227 memory: 17006 grad_norm: 12.4426 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8778 loss: 0.8778 2022/07/30 16:22:35 - mmengine - INFO - Epoch(train) [175][2820/3757] lr: 2.7391e-05 eta: 2:16:42 time: 0.4065 data_time: 0.0193 memory: 17006 grad_norm: 12.2436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3449 loss: 1.3449 2022/07/30 16:22:44 - mmengine - INFO - Epoch(train) [175][2840/3757] lr: 2.7391e-05 eta: 2:16:33 time: 0.4289 data_time: 0.0268 memory: 17006 grad_norm: 12.5976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1752 loss: 1.1752 2022/07/30 16:22:52 - mmengine - INFO - Epoch(train) [175][2860/3757] lr: 2.7391e-05 eta: 2:16:25 time: 0.4048 data_time: 0.0189 memory: 17006 grad_norm: 12.3209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2944 loss: 1.2944 2022/07/30 16:23:00 - mmengine - INFO - Epoch(train) [175][2880/3757] lr: 2.7391e-05 eta: 2:16:17 time: 0.4168 data_time: 0.0219 memory: 17006 grad_norm: 12.0769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9201 loss: 0.9201 2022/07/30 16:23:08 - mmengine - INFO - Epoch(train) [175][2900/3757] lr: 2.7391e-05 eta: 2:16:08 time: 0.4064 data_time: 0.0192 memory: 17006 grad_norm: 12.5829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2822 loss: 1.2822 2022/07/30 16:23:16 - mmengine - INFO - Epoch(train) [175][2920/3757] lr: 2.7391e-05 eta: 2:16:00 time: 0.4082 data_time: 0.0213 memory: 17006 grad_norm: 12.4399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2030 loss: 1.2030 2022/07/30 16:23:25 - mmengine - INFO - Epoch(train) [175][2940/3757] lr: 2.7391e-05 eta: 2:15:52 time: 0.4322 data_time: 0.0232 memory: 17006 grad_norm: 11.9323 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9873 loss: 0.9873 2022/07/30 16:23:33 - mmengine - INFO - Epoch(train) [175][2960/3757] lr: 2.7391e-05 eta: 2:15:43 time: 0.4073 data_time: 0.0221 memory: 17006 grad_norm: 12.5220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1985 loss: 1.1985 2022/07/30 16:23:42 - mmengine - INFO - Epoch(train) [175][2980/3757] lr: 2.7391e-05 eta: 2:15:35 time: 0.4103 data_time: 0.0200 memory: 17006 grad_norm: 11.9214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3730 loss: 1.3730 2022/07/30 16:23:50 - mmengine - INFO - Epoch(train) [175][3000/3757] lr: 2.7391e-05 eta: 2:15:27 time: 0.4118 data_time: 0.0211 memory: 17006 grad_norm: 12.2992 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2102 loss: 1.2102 2022/07/30 16:23:58 - mmengine - INFO - Epoch(train) [175][3020/3757] lr: 2.7391e-05 eta: 2:15:18 time: 0.4137 data_time: 0.0214 memory: 17006 grad_norm: 11.9280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2422 loss: 1.2422 2022/07/30 16:24:06 - mmengine - INFO - Epoch(train) [175][3040/3757] lr: 2.7391e-05 eta: 2:15:10 time: 0.4139 data_time: 0.0215 memory: 17006 grad_norm: 12.5440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1878 loss: 1.1878 2022/07/30 16:24:15 - mmengine - INFO - Epoch(train) [175][3060/3757] lr: 2.7391e-05 eta: 2:15:02 time: 0.4270 data_time: 0.0213 memory: 17006 grad_norm: 12.5296 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1247 loss: 1.1247 2022/07/30 16:24:24 - mmengine - INFO - Epoch(train) [175][3080/3757] lr: 2.7391e-05 eta: 2:14:53 time: 0.4290 data_time: 0.0222 memory: 17006 grad_norm: 12.0354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/07/30 16:24:32 - mmengine - INFO - Epoch(train) [175][3100/3757] lr: 2.7391e-05 eta: 2:14:45 time: 0.4156 data_time: 0.0209 memory: 17006 grad_norm: 12.7251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2875 loss: 1.2875 2022/07/30 16:24:40 - mmengine - INFO - Epoch(train) [175][3120/3757] lr: 2.7391e-05 eta: 2:14:37 time: 0.4162 data_time: 0.0227 memory: 17006 grad_norm: 12.1365 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0985 loss: 1.0985 2022/07/30 16:24:48 - mmengine - INFO - Epoch(train) [175][3140/3757] lr: 2.7391e-05 eta: 2:14:28 time: 0.4060 data_time: 0.0191 memory: 17006 grad_norm: 12.0749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0387 loss: 1.0387 2022/07/30 16:24:57 - mmengine - INFO - Epoch(train) [175][3160/3757] lr: 2.7391e-05 eta: 2:14:20 time: 0.4214 data_time: 0.0255 memory: 17006 grad_norm: 12.8391 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2092 loss: 1.2092 2022/07/30 16:25:05 - mmengine - INFO - Epoch(train) [175][3180/3757] lr: 2.7391e-05 eta: 2:14:12 time: 0.4108 data_time: 0.0202 memory: 17006 grad_norm: 12.4045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/07/30 16:25:14 - mmengine - INFO - Epoch(train) [175][3200/3757] lr: 2.7391e-05 eta: 2:14:04 time: 0.4217 data_time: 0.0231 memory: 17006 grad_norm: 12.1206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3173 loss: 1.3173 2022/07/30 16:25:22 - mmengine - INFO - Epoch(train) [175][3220/3757] lr: 2.7391e-05 eta: 2:13:55 time: 0.4375 data_time: 0.0195 memory: 17006 grad_norm: 12.0298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4268 loss: 1.4268 2022/07/30 16:25:31 - mmengine - INFO - Epoch(train) [175][3240/3757] lr: 2.7391e-05 eta: 2:13:47 time: 0.4437 data_time: 0.0228 memory: 17006 grad_norm: 12.6897 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3025 loss: 1.3025 2022/07/30 16:25:39 - mmengine - INFO - Epoch(train) [175][3260/3757] lr: 2.7391e-05 eta: 2:13:39 time: 0.4056 data_time: 0.0188 memory: 17006 grad_norm: 12.4697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1858 loss: 1.1858 2022/07/30 16:25:48 - mmengine - INFO - Epoch(train) [175][3280/3757] lr: 2.7391e-05 eta: 2:13:30 time: 0.4089 data_time: 0.0215 memory: 17006 grad_norm: 12.1442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0656 loss: 1.0656 2022/07/30 16:25:48 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:25:56 - mmengine - INFO - Epoch(train) [175][3300/3757] lr: 2.7391e-05 eta: 2:13:22 time: 0.4171 data_time: 0.0224 memory: 17006 grad_norm: 11.8931 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9803 loss: 0.9803 2022/07/30 16:26:04 - mmengine - INFO - Epoch(train) [175][3320/3757] lr: 2.7391e-05 eta: 2:13:14 time: 0.4090 data_time: 0.0224 memory: 17006 grad_norm: 12.2124 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0233 loss: 1.0233 2022/07/30 16:26:13 - mmengine - INFO - Epoch(train) [175][3340/3757] lr: 2.7391e-05 eta: 2:13:05 time: 0.4190 data_time: 0.0200 memory: 17006 grad_norm: 12.1372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2458 loss: 1.2458 2022/07/30 16:26:21 - mmengine - INFO - Epoch(train) [175][3360/3757] lr: 2.7391e-05 eta: 2:12:57 time: 0.4064 data_time: 0.0209 memory: 17006 grad_norm: 12.0971 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2037 loss: 1.2037 2022/07/30 16:26:29 - mmengine - INFO - Epoch(train) [175][3380/3757] lr: 2.7391e-05 eta: 2:12:49 time: 0.4073 data_time: 0.0187 memory: 17006 grad_norm: 12.5633 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0313 loss: 1.0313 2022/07/30 16:26:38 - mmengine - INFO - Epoch(train) [175][3400/3757] lr: 2.7391e-05 eta: 2:12:40 time: 0.4257 data_time: 0.0221 memory: 17006 grad_norm: 12.1604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9403 loss: 0.9403 2022/07/30 16:26:46 - mmengine - INFO - Epoch(train) [175][3420/3757] lr: 2.7391e-05 eta: 2:12:32 time: 0.4051 data_time: 0.0202 memory: 17006 grad_norm: 12.5227 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/07/30 16:26:54 - mmengine - INFO - Epoch(train) [175][3440/3757] lr: 2.7391e-05 eta: 2:12:24 time: 0.4298 data_time: 0.0224 memory: 17006 grad_norm: 11.9146 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3601 loss: 1.3601 2022/07/30 16:27:02 - mmengine - INFO - Epoch(train) [175][3460/3757] lr: 2.7391e-05 eta: 2:12:15 time: 0.4065 data_time: 0.0199 memory: 17006 grad_norm: 11.8387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1003 loss: 1.1003 2022/07/30 16:27:11 - mmengine - INFO - Epoch(train) [175][3480/3757] lr: 2.7391e-05 eta: 2:12:07 time: 0.4260 data_time: 0.0228 memory: 17006 grad_norm: 12.6531 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2093 loss: 1.2093 2022/07/30 16:27:19 - mmengine - INFO - Epoch(train) [175][3500/3757] lr: 2.7391e-05 eta: 2:11:59 time: 0.4061 data_time: 0.0184 memory: 17006 grad_norm: 12.0165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/07/30 16:27:27 - mmengine - INFO - Epoch(train) [175][3520/3757] lr: 2.7391e-05 eta: 2:11:50 time: 0.4075 data_time: 0.0219 memory: 17006 grad_norm: 12.3287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0322 loss: 1.0322 2022/07/30 16:27:36 - mmengine - INFO - Epoch(train) [175][3540/3757] lr: 2.7391e-05 eta: 2:11:42 time: 0.4348 data_time: 0.0233 memory: 17006 grad_norm: 12.1386 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1335 loss: 1.1335 2022/07/30 16:27:44 - mmengine - INFO - Epoch(train) [175][3560/3757] lr: 2.7391e-05 eta: 2:11:34 time: 0.4084 data_time: 0.0227 memory: 17006 grad_norm: 12.2266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1349 loss: 1.1349 2022/07/30 16:27:53 - mmengine - INFO - Epoch(train) [175][3580/3757] lr: 2.7391e-05 eta: 2:11:26 time: 0.4169 data_time: 0.0222 memory: 17006 grad_norm: 12.4209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2369 loss: 1.2369 2022/07/30 16:28:01 - mmengine - INFO - Epoch(train) [175][3600/3757] lr: 2.7391e-05 eta: 2:11:17 time: 0.4074 data_time: 0.0210 memory: 17006 grad_norm: 12.7089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8789 loss: 0.8789 2022/07/30 16:28:09 - mmengine - INFO - Epoch(train) [175][3620/3757] lr: 2.7391e-05 eta: 2:11:09 time: 0.4051 data_time: 0.0185 memory: 17006 grad_norm: 12.2037 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0960 loss: 1.0960 2022/07/30 16:28:17 - mmengine - INFO - Epoch(train) [175][3640/3757] lr: 2.7391e-05 eta: 2:11:01 time: 0.4139 data_time: 0.0217 memory: 17006 grad_norm: 12.1534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1305 loss: 1.1305 2022/07/30 16:28:25 - mmengine - INFO - Epoch(train) [175][3660/3757] lr: 2.7391e-05 eta: 2:10:52 time: 0.4064 data_time: 0.0190 memory: 17006 grad_norm: 12.4087 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1570 loss: 1.1570 2022/07/30 16:28:34 - mmengine - INFO - Epoch(train) [175][3680/3757] lr: 2.7391e-05 eta: 2:10:44 time: 0.4275 data_time: 0.0232 memory: 17006 grad_norm: 12.3006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9592 loss: 0.9592 2022/07/30 16:28:42 - mmengine - INFO - Epoch(train) [175][3700/3757] lr: 2.7391e-05 eta: 2:10:36 time: 0.4084 data_time: 0.0190 memory: 17006 grad_norm: 12.2600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2251 loss: 1.2251 2022/07/30 16:28:51 - mmengine - INFO - Epoch(train) [175][3720/3757] lr: 2.7391e-05 eta: 2:10:27 time: 0.4532 data_time: 0.0226 memory: 17006 grad_norm: 12.5838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/07/30 16:29:00 - mmengine - INFO - Epoch(train) [175][3740/3757] lr: 2.7391e-05 eta: 2:10:19 time: 0.4097 data_time: 0.0219 memory: 17006 grad_norm: 12.6642 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2080 loss: 1.2080 2022/07/30 16:29:06 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:29:06 - mmengine - INFO - Epoch(train) [175][3757/3757] lr: 2.7391e-05 eta: 2:10:19 time: 0.3975 data_time: 0.0201 memory: 17006 grad_norm: 11.9527 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2632 loss: 1.2632 2022/07/30 16:29:06 - mmengine - INFO - Saving checkpoint at 175 epochs 2022/07/30 16:29:19 - mmengine - INFO - Epoch(train) [176][20/3757] lr: 1.9027e-05 eta: 2:10:03 time: 0.4637 data_time: 0.0743 memory: 17006 grad_norm: 11.8319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0227 loss: 1.0227 2022/07/30 16:29:27 - mmengine - INFO - Epoch(train) [176][40/3757] lr: 1.9027e-05 eta: 2:09:55 time: 0.4187 data_time: 0.0242 memory: 17006 grad_norm: 12.7331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4374 loss: 1.4374 2022/07/30 16:29:35 - mmengine - INFO - Epoch(train) [176][60/3757] lr: 1.9027e-05 eta: 2:09:46 time: 0.4061 data_time: 0.0217 memory: 17006 grad_norm: 12.0992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2681 loss: 1.2681 2022/07/30 16:29:44 - mmengine - INFO - Epoch(train) [176][80/3757] lr: 1.9027e-05 eta: 2:09:38 time: 0.4193 data_time: 0.0222 memory: 17006 grad_norm: 12.2843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0069 loss: 1.0069 2022/07/30 16:29:52 - mmengine - INFO - Epoch(train) [176][100/3757] lr: 1.9027e-05 eta: 2:09:30 time: 0.4082 data_time: 0.0201 memory: 17006 grad_norm: 11.7830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0783 loss: 1.0783 2022/07/30 16:30:00 - mmengine - INFO - Epoch(train) [176][120/3757] lr: 1.9027e-05 eta: 2:09:21 time: 0.4070 data_time: 0.0210 memory: 17006 grad_norm: 12.3535 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1044 loss: 1.1044 2022/07/30 16:30:08 - mmengine - INFO - Epoch(train) [176][140/3757] lr: 1.9027e-05 eta: 2:09:13 time: 0.4101 data_time: 0.0225 memory: 17006 grad_norm: 11.3355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1728 loss: 1.1728 2022/07/30 16:30:16 - mmengine - INFO - Epoch(train) [176][160/3757] lr: 1.9027e-05 eta: 2:09:05 time: 0.4087 data_time: 0.0213 memory: 17006 grad_norm: 12.5823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9564 loss: 0.9564 2022/07/30 16:30:25 - mmengine - INFO - Epoch(train) [176][180/3757] lr: 1.9027e-05 eta: 2:08:57 time: 0.4246 data_time: 0.0220 memory: 17006 grad_norm: 12.7352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/07/30 16:30:33 - mmengine - INFO - Epoch(train) [176][200/3757] lr: 1.9027e-05 eta: 2:08:48 time: 0.4066 data_time: 0.0212 memory: 17006 grad_norm: 12.1342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/07/30 16:30:42 - mmengine - INFO - Epoch(train) [176][220/3757] lr: 1.9027e-05 eta: 2:08:40 time: 0.4179 data_time: 0.0232 memory: 17006 grad_norm: 12.4317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1207 loss: 1.1207 2022/07/30 16:30:50 - mmengine - INFO - Epoch(train) [176][240/3757] lr: 1.9027e-05 eta: 2:08:32 time: 0.4087 data_time: 0.0210 memory: 17006 grad_norm: 12.0676 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0050 loss: 1.0050 2022/07/30 16:30:58 - mmengine - INFO - Epoch(train) [176][260/3757] lr: 1.9027e-05 eta: 2:08:23 time: 0.4068 data_time: 0.0202 memory: 17006 grad_norm: 12.4435 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2067 loss: 1.2067 2022/07/30 16:31:06 - mmengine - INFO - Epoch(train) [176][280/3757] lr: 1.9027e-05 eta: 2:08:15 time: 0.4266 data_time: 0.0229 memory: 17006 grad_norm: 12.1183 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0473 loss: 1.0473 2022/07/30 16:31:15 - mmengine - INFO - Epoch(train) [176][300/3757] lr: 1.9027e-05 eta: 2:08:07 time: 0.4061 data_time: 0.0211 memory: 17006 grad_norm: 11.7122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0434 loss: 1.0434 2022/07/30 16:31:23 - mmengine - INFO - Epoch(train) [176][320/3757] lr: 1.9027e-05 eta: 2:07:58 time: 0.4248 data_time: 0.0282 memory: 17006 grad_norm: 11.6919 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1623 loss: 1.1623 2022/07/30 16:31:31 - mmengine - INFO - Epoch(train) [176][340/3757] lr: 1.9027e-05 eta: 2:07:50 time: 0.4080 data_time: 0.0205 memory: 17006 grad_norm: 12.1022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9521 loss: 0.9521 2022/07/30 16:31:39 - mmengine - INFO - Epoch(train) [176][360/3757] lr: 1.9027e-05 eta: 2:07:42 time: 0.4064 data_time: 0.0206 memory: 17006 grad_norm: 12.4573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1175 loss: 1.1175 2022/07/30 16:31:48 - mmengine - INFO - Epoch(train) [176][380/3757] lr: 1.9027e-05 eta: 2:07:33 time: 0.4226 data_time: 0.0227 memory: 17006 grad_norm: 12.3388 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2835 loss: 1.2835 2022/07/30 16:31:56 - mmengine - INFO - Epoch(train) [176][400/3757] lr: 1.9027e-05 eta: 2:07:25 time: 0.4087 data_time: 0.0235 memory: 17006 grad_norm: 12.2565 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 0.9218 loss: 0.9218 2022/07/30 16:32:05 - mmengine - INFO - Epoch(train) [176][420/3757] lr: 1.9027e-05 eta: 2:07:17 time: 0.4285 data_time: 0.0220 memory: 17006 grad_norm: 12.2359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0149 loss: 1.0149 2022/07/30 16:32:13 - mmengine - INFO - Epoch(train) [176][440/3757] lr: 1.9027e-05 eta: 2:07:08 time: 0.4091 data_time: 0.0221 memory: 17006 grad_norm: 12.5682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/07/30 16:32:22 - mmengine - INFO - Epoch(train) [176][460/3757] lr: 1.9027e-05 eta: 2:07:00 time: 0.4286 data_time: 0.0218 memory: 17006 grad_norm: 12.1407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0417 loss: 1.0417 2022/07/30 16:32:30 - mmengine - INFO - Epoch(train) [176][480/3757] lr: 1.9027e-05 eta: 2:06:52 time: 0.4072 data_time: 0.0209 memory: 17006 grad_norm: 12.2100 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2424 loss: 1.2424 2022/07/30 16:32:38 - mmengine - INFO - Epoch(train) [176][500/3757] lr: 1.9027e-05 eta: 2:06:43 time: 0.4088 data_time: 0.0201 memory: 17006 grad_norm: 11.9174 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0279 loss: 1.0279 2022/07/30 16:32:47 - mmengine - INFO - Epoch(train) [176][520/3757] lr: 1.9027e-05 eta: 2:06:35 time: 0.4266 data_time: 0.0220 memory: 17006 grad_norm: 12.7081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/07/30 16:32:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:32:55 - mmengine - INFO - Epoch(train) [176][540/3757] lr: 1.9027e-05 eta: 2:06:27 time: 0.4132 data_time: 0.0193 memory: 17006 grad_norm: 12.4127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2740 loss: 1.2740 2022/07/30 16:33:03 - mmengine - INFO - Epoch(train) [176][560/3757] lr: 1.9027e-05 eta: 2:06:18 time: 0.4188 data_time: 0.0228 memory: 17006 grad_norm: 12.2322 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/07/30 16:33:11 - mmengine - INFO - Epoch(train) [176][580/3757] lr: 1.9027e-05 eta: 2:06:10 time: 0.4066 data_time: 0.0211 memory: 17006 grad_norm: 12.3503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2085 loss: 1.2085 2022/07/30 16:33:20 - mmengine - INFO - Epoch(train) [176][600/3757] lr: 1.9027e-05 eta: 2:06:02 time: 0.4085 data_time: 0.0213 memory: 17006 grad_norm: 12.1463 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9064 loss: 0.9064 2022/07/30 16:33:28 - mmengine - INFO - Epoch(train) [176][620/3757] lr: 1.9027e-05 eta: 2:05:54 time: 0.4247 data_time: 0.0228 memory: 17006 grad_norm: 12.1549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3425 loss: 1.3425 2022/07/30 16:33:36 - mmengine - INFO - Epoch(train) [176][640/3757] lr: 1.9027e-05 eta: 2:05:45 time: 0.4108 data_time: 0.0225 memory: 17006 grad_norm: 12.5142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9763 loss: 0.9763 2022/07/30 16:33:45 - mmengine - INFO - Epoch(train) [176][660/3757] lr: 1.9027e-05 eta: 2:05:37 time: 0.4222 data_time: 0.0204 memory: 17006 grad_norm: 12.4506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1490 loss: 1.1490 2022/07/30 16:33:53 - mmengine - INFO - Epoch(train) [176][680/3757] lr: 1.9027e-05 eta: 2:05:29 time: 0.4254 data_time: 0.0212 memory: 17006 grad_norm: 12.0486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1479 loss: 1.1479 2022/07/30 16:34:02 - mmengine - INFO - Epoch(train) [176][700/3757] lr: 1.9027e-05 eta: 2:05:20 time: 0.4313 data_time: 0.0211 memory: 17006 grad_norm: 12.2380 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2370 loss: 1.2370 2022/07/30 16:34:10 - mmengine - INFO - Epoch(train) [176][720/3757] lr: 1.9027e-05 eta: 2:05:12 time: 0.4082 data_time: 0.0218 memory: 17006 grad_norm: 12.3619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2651 loss: 1.2651 2022/07/30 16:34:18 - mmengine - INFO - Epoch(train) [176][740/3757] lr: 1.9027e-05 eta: 2:05:04 time: 0.4081 data_time: 0.0202 memory: 17006 grad_norm: 12.0052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2140 loss: 1.2140 2022/07/30 16:34:27 - mmengine - INFO - Epoch(train) [176][760/3757] lr: 1.9027e-05 eta: 2:04:55 time: 0.4098 data_time: 0.0230 memory: 17006 grad_norm: 12.2525 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9958 loss: 0.9958 2022/07/30 16:34:35 - mmengine - INFO - Epoch(train) [176][780/3757] lr: 1.9027e-05 eta: 2:04:47 time: 0.4174 data_time: 0.0206 memory: 17006 grad_norm: 11.5883 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0818 loss: 1.0818 2022/07/30 16:34:43 - mmengine - INFO - Epoch(train) [176][800/3757] lr: 1.9027e-05 eta: 2:04:39 time: 0.4168 data_time: 0.0229 memory: 17006 grad_norm: 11.4857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0931 loss: 1.0931 2022/07/30 16:34:52 - mmengine - INFO - Epoch(train) [176][820/3757] lr: 1.9027e-05 eta: 2:04:30 time: 0.4096 data_time: 0.0211 memory: 17006 grad_norm: 12.7158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1778 loss: 1.1778 2022/07/30 16:35:00 - mmengine - INFO - Epoch(train) [176][840/3757] lr: 1.9027e-05 eta: 2:04:22 time: 0.4087 data_time: 0.0210 memory: 17006 grad_norm: 12.4712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2843 loss: 1.2843 2022/07/30 16:35:09 - mmengine - INFO - Epoch(train) [176][860/3757] lr: 1.9027e-05 eta: 2:04:14 time: 0.4314 data_time: 0.0248 memory: 17006 grad_norm: 11.9430 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/07/30 16:35:17 - mmengine - INFO - Epoch(train) [176][880/3757] lr: 1.9027e-05 eta: 2:04:05 time: 0.4236 data_time: 0.0223 memory: 17006 grad_norm: 12.1068 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3139 loss: 1.3139 2022/07/30 16:35:25 - mmengine - INFO - Epoch(train) [176][900/3757] lr: 1.9027e-05 eta: 2:03:57 time: 0.4078 data_time: 0.0199 memory: 17006 grad_norm: 12.2706 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0892 loss: 1.0892 2022/07/30 16:35:34 - mmengine - INFO - Epoch(train) [176][920/3757] lr: 1.9027e-05 eta: 2:03:49 time: 0.4235 data_time: 0.0235 memory: 17006 grad_norm: 12.3858 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1134 loss: 1.1134 2022/07/30 16:35:42 - mmengine - INFO - Epoch(train) [176][940/3757] lr: 1.9027e-05 eta: 2:03:40 time: 0.4059 data_time: 0.0203 memory: 17006 grad_norm: 12.1249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1154 loss: 1.1154 2022/07/30 16:35:50 - mmengine - INFO - Epoch(train) [176][960/3757] lr: 1.9027e-05 eta: 2:03:32 time: 0.4110 data_time: 0.0231 memory: 17006 grad_norm: 12.6421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/07/30 16:35:59 - mmengine - INFO - Epoch(train) [176][980/3757] lr: 1.9027e-05 eta: 2:03:24 time: 0.4200 data_time: 0.0202 memory: 17006 grad_norm: 11.9926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8516 loss: 0.8516 2022/07/30 16:36:07 - mmengine - INFO - Epoch(train) [176][1000/3757] lr: 1.9027e-05 eta: 2:03:15 time: 0.4067 data_time: 0.0205 memory: 17006 grad_norm: 12.1416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9190 loss: 0.9190 2022/07/30 16:36:15 - mmengine - INFO - Epoch(train) [176][1020/3757] lr: 1.9027e-05 eta: 2:03:07 time: 0.4115 data_time: 0.0209 memory: 17006 grad_norm: 12.2495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0792 loss: 1.0792 2022/07/30 16:36:23 - mmengine - INFO - Epoch(train) [176][1040/3757] lr: 1.9027e-05 eta: 2:02:59 time: 0.4196 data_time: 0.0233 memory: 17006 grad_norm: 12.2316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1277 loss: 1.1277 2022/07/30 16:36:32 - mmengine - INFO - Epoch(train) [176][1060/3757] lr: 1.9027e-05 eta: 2:02:51 time: 0.4067 data_time: 0.0205 memory: 17006 grad_norm: 12.5341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/07/30 16:36:40 - mmengine - INFO - Epoch(train) [176][1080/3757] lr: 1.9027e-05 eta: 2:02:42 time: 0.4077 data_time: 0.0212 memory: 17006 grad_norm: 12.1774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0189 loss: 1.0189 2022/07/30 16:36:48 - mmengine - INFO - Epoch(train) [176][1100/3757] lr: 1.9027e-05 eta: 2:02:34 time: 0.4126 data_time: 0.0213 memory: 17006 grad_norm: 12.3759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1013 loss: 1.1013 2022/07/30 16:36:56 - mmengine - INFO - Epoch(train) [176][1120/3757] lr: 1.9027e-05 eta: 2:02:26 time: 0.4202 data_time: 0.0202 memory: 17006 grad_norm: 12.3569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1160 loss: 1.1160 2022/07/30 16:37:05 - mmengine - INFO - Epoch(train) [176][1140/3757] lr: 1.9027e-05 eta: 2:02:17 time: 0.4129 data_time: 0.0204 memory: 17006 grad_norm: 12.3236 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0882 loss: 1.0882 2022/07/30 16:37:13 - mmengine - INFO - Epoch(train) [176][1160/3757] lr: 1.9027e-05 eta: 2:02:09 time: 0.4066 data_time: 0.0209 memory: 17006 grad_norm: 12.4286 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1897 loss: 1.1897 2022/07/30 16:37:21 - mmengine - INFO - Epoch(train) [176][1180/3757] lr: 1.9027e-05 eta: 2:02:01 time: 0.4086 data_time: 0.0205 memory: 17006 grad_norm: 12.5677 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0529 loss: 1.0529 2022/07/30 16:37:30 - mmengine - INFO - Epoch(train) [176][1200/3757] lr: 1.9027e-05 eta: 2:01:52 time: 0.4195 data_time: 0.0222 memory: 17006 grad_norm: 12.2027 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1012 loss: 1.1012 2022/07/30 16:37:38 - mmengine - INFO - Epoch(train) [176][1220/3757] lr: 1.9027e-05 eta: 2:01:44 time: 0.4070 data_time: 0.0200 memory: 17006 grad_norm: 12.0427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/07/30 16:37:47 - mmengine - INFO - Epoch(train) [176][1240/3757] lr: 1.9027e-05 eta: 2:01:36 time: 0.4520 data_time: 0.0251 memory: 17006 grad_norm: 11.8354 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1641 loss: 1.1641 2022/07/30 16:37:55 - mmengine - INFO - Epoch(train) [176][1260/3757] lr: 1.9027e-05 eta: 2:01:27 time: 0.4095 data_time: 0.0223 memory: 17006 grad_norm: 12.2109 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1172 loss: 1.1172 2022/07/30 16:38:04 - mmengine - INFO - Epoch(train) [176][1280/3757] lr: 1.9027e-05 eta: 2:01:19 time: 0.4465 data_time: 0.0227 memory: 17006 grad_norm: 11.6765 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9900 loss: 0.9900 2022/07/30 16:38:12 - mmengine - INFO - Epoch(train) [176][1300/3757] lr: 1.9027e-05 eta: 2:01:11 time: 0.4074 data_time: 0.0191 memory: 17006 grad_norm: 11.9007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9504 loss: 0.9504 2022/07/30 16:38:20 - mmengine - INFO - Epoch(train) [176][1320/3757] lr: 1.9027e-05 eta: 2:01:02 time: 0.4061 data_time: 0.0210 memory: 17006 grad_norm: 12.5484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/07/30 16:38:29 - mmengine - INFO - Epoch(train) [176][1340/3757] lr: 1.9027e-05 eta: 2:00:54 time: 0.4377 data_time: 0.0237 memory: 17006 grad_norm: 12.2093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1812 loss: 1.1812 2022/07/30 16:38:37 - mmengine - INFO - Epoch(train) [176][1360/3757] lr: 1.9027e-05 eta: 2:00:46 time: 0.4079 data_time: 0.0216 memory: 17006 grad_norm: 12.1312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1361 loss: 1.1361 2022/07/30 16:38:47 - mmengine - INFO - Epoch(train) [176][1380/3757] lr: 1.9027e-05 eta: 2:00:38 time: 0.4795 data_time: 0.0230 memory: 17006 grad_norm: 11.9859 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9741 loss: 0.9741 2022/07/30 16:38:55 - mmengine - INFO - Epoch(train) [176][1400/3757] lr: 1.9027e-05 eta: 2:00:29 time: 0.4074 data_time: 0.0215 memory: 17006 grad_norm: 12.4169 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3905 loss: 1.3905 2022/07/30 16:39:04 - mmengine - INFO - Epoch(train) [176][1420/3757] lr: 1.9027e-05 eta: 2:00:21 time: 0.4289 data_time: 0.0223 memory: 17006 grad_norm: 12.1983 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0942 loss: 1.0942 2022/07/30 16:39:12 - mmengine - INFO - Epoch(train) [176][1440/3757] lr: 1.9027e-05 eta: 2:00:13 time: 0.4070 data_time: 0.0204 memory: 17006 grad_norm: 12.2315 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0299 loss: 1.0299 2022/07/30 16:39:20 - mmengine - INFO - Epoch(train) [176][1460/3757] lr: 1.9027e-05 eta: 2:00:04 time: 0.4072 data_time: 0.0211 memory: 17006 grad_norm: 12.4184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1774 loss: 1.1774 2022/07/30 16:39:28 - mmengine - INFO - Epoch(train) [176][1480/3757] lr: 1.9027e-05 eta: 1:59:56 time: 0.4150 data_time: 0.0229 memory: 17006 grad_norm: 11.5028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7738 loss: 0.7738 2022/07/30 16:39:37 - mmengine - INFO - Epoch(train) [176][1500/3757] lr: 1.9027e-05 eta: 1:59:48 time: 0.4071 data_time: 0.0202 memory: 17006 grad_norm: 11.9607 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9209 loss: 0.9209 2022/07/30 16:39:45 - mmengine - INFO - Epoch(train) [176][1520/3757] lr: 1.9027e-05 eta: 1:59:39 time: 0.4389 data_time: 0.0228 memory: 17006 grad_norm: 12.4011 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1997 loss: 1.1997 2022/07/30 16:39:47 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:39:54 - mmengine - INFO - Epoch(train) [176][1540/3757] lr: 1.9027e-05 eta: 1:59:31 time: 0.4074 data_time: 0.0199 memory: 17006 grad_norm: 11.5064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9218 loss: 0.9218 2022/07/30 16:40:02 - mmengine - INFO - Epoch(train) [176][1560/3757] lr: 1.9027e-05 eta: 1:59:23 time: 0.4126 data_time: 0.0226 memory: 17006 grad_norm: 12.2288 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3082 loss: 1.3082 2022/07/30 16:40:10 - mmengine - INFO - Epoch(train) [176][1580/3757] lr: 1.9027e-05 eta: 1:59:14 time: 0.4063 data_time: 0.0198 memory: 17006 grad_norm: 11.6995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9602 loss: 0.9602 2022/07/30 16:40:18 - mmengine - INFO - Epoch(train) [176][1600/3757] lr: 1.9027e-05 eta: 1:59:06 time: 0.4081 data_time: 0.0204 memory: 17006 grad_norm: 12.2785 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1393 loss: 1.1393 2022/07/30 16:40:27 - mmengine - INFO - Epoch(train) [176][1620/3757] lr: 1.9027e-05 eta: 1:58:58 time: 0.4174 data_time: 0.0215 memory: 17006 grad_norm: 11.6809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0408 loss: 1.0408 2022/07/30 16:40:35 - mmengine - INFO - Epoch(train) [176][1640/3757] lr: 1.9027e-05 eta: 1:58:49 time: 0.4111 data_time: 0.0218 memory: 17006 grad_norm: 12.3262 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2296 loss: 1.2296 2022/07/30 16:40:44 - mmengine - INFO - Epoch(train) [176][1660/3757] lr: 1.9027e-05 eta: 1:58:41 time: 0.4336 data_time: 0.0213 memory: 17006 grad_norm: 12.6817 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3454 loss: 1.3454 2022/07/30 16:40:52 - mmengine - INFO - Epoch(train) [176][1680/3757] lr: 1.9027e-05 eta: 1:58:33 time: 0.4098 data_time: 0.0229 memory: 17006 grad_norm: 12.3144 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1558 loss: 1.1558 2022/07/30 16:41:00 - mmengine - INFO - Epoch(train) [176][1700/3757] lr: 1.9027e-05 eta: 1:58:24 time: 0.4065 data_time: 0.0199 memory: 17006 grad_norm: 12.0485 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1078 loss: 1.1078 2022/07/30 16:41:08 - mmengine - INFO - Epoch(train) [176][1720/3757] lr: 1.9027e-05 eta: 1:58:16 time: 0.4146 data_time: 0.0227 memory: 17006 grad_norm: 11.7409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8237 loss: 0.8237 2022/07/30 16:41:16 - mmengine - INFO - Epoch(train) [176][1740/3757] lr: 1.9027e-05 eta: 1:58:08 time: 0.4056 data_time: 0.0194 memory: 17006 grad_norm: 12.0847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1864 loss: 1.1864 2022/07/30 16:41:25 - mmengine - INFO - Epoch(train) [176][1760/3757] lr: 1.9027e-05 eta: 1:57:59 time: 0.4190 data_time: 0.0236 memory: 17006 grad_norm: 12.3656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0375 loss: 1.0375 2022/07/30 16:41:33 - mmengine - INFO - Epoch(train) [176][1780/3757] lr: 1.9027e-05 eta: 1:57:51 time: 0.4221 data_time: 0.0199 memory: 17006 grad_norm: 12.4495 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3988 loss: 1.3988 2022/07/30 16:41:42 - mmengine - INFO - Epoch(train) [176][1800/3757] lr: 1.9027e-05 eta: 1:57:43 time: 0.4125 data_time: 0.0214 memory: 17006 grad_norm: 12.1900 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9943 loss: 0.9943 2022/07/30 16:41:50 - mmengine - INFO - Epoch(train) [176][1820/3757] lr: 1.9027e-05 eta: 1:57:35 time: 0.4117 data_time: 0.0201 memory: 17006 grad_norm: 12.8124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8208 loss: 0.8208 2022/07/30 16:41:58 - mmengine - INFO - Epoch(train) [176][1840/3757] lr: 1.9027e-05 eta: 1:57:26 time: 0.4101 data_time: 0.0215 memory: 17006 grad_norm: 11.8921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1201 loss: 1.1201 2022/07/30 16:42:06 - mmengine - INFO - Epoch(train) [176][1860/3757] lr: 1.9027e-05 eta: 1:57:18 time: 0.4155 data_time: 0.0214 memory: 17006 grad_norm: 12.6237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9930 loss: 0.9930 2022/07/30 16:42:15 - mmengine - INFO - Epoch(train) [176][1880/3757] lr: 1.9027e-05 eta: 1:57:10 time: 0.4201 data_time: 0.0205 memory: 17006 grad_norm: 12.2596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1262 loss: 1.1262 2022/07/30 16:42:23 - mmengine - INFO - Epoch(train) [176][1900/3757] lr: 1.9027e-05 eta: 1:57:01 time: 0.4114 data_time: 0.0217 memory: 17006 grad_norm: 11.8109 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1661 loss: 1.1661 2022/07/30 16:42:31 - mmengine - INFO - Epoch(train) [176][1920/3757] lr: 1.9027e-05 eta: 1:56:53 time: 0.4096 data_time: 0.0212 memory: 17006 grad_norm: 12.4653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1927 loss: 1.1927 2022/07/30 16:42:40 - mmengine - INFO - Epoch(train) [176][1940/3757] lr: 1.9027e-05 eta: 1:56:45 time: 0.4086 data_time: 0.0206 memory: 17006 grad_norm: 11.8711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0697 loss: 1.0697 2022/07/30 16:42:48 - mmengine - INFO - Epoch(train) [176][1960/3757] lr: 1.9027e-05 eta: 1:56:36 time: 0.4122 data_time: 0.0213 memory: 17006 grad_norm: 12.3905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1519 loss: 1.1519 2022/07/30 16:42:56 - mmengine - INFO - Epoch(train) [176][1980/3757] lr: 1.9027e-05 eta: 1:56:28 time: 0.4064 data_time: 0.0196 memory: 17006 grad_norm: 12.1894 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3229 loss: 1.3229 2022/07/30 16:43:05 - mmengine - INFO - Epoch(train) [176][2000/3757] lr: 1.9027e-05 eta: 1:56:20 time: 0.4400 data_time: 0.0235 memory: 17006 grad_norm: 11.9915 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2310 loss: 1.2310 2022/07/30 16:43:13 - mmengine - INFO - Epoch(train) [176][2020/3757] lr: 1.9027e-05 eta: 1:56:11 time: 0.4095 data_time: 0.0213 memory: 17006 grad_norm: 11.9626 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1322 loss: 1.1322 2022/07/30 16:43:21 - mmengine - INFO - Epoch(train) [176][2040/3757] lr: 1.9027e-05 eta: 1:56:03 time: 0.4072 data_time: 0.0212 memory: 17006 grad_norm: 11.6575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0368 loss: 1.0368 2022/07/30 16:43:30 - mmengine - INFO - Epoch(train) [176][2060/3757] lr: 1.9027e-05 eta: 1:55:55 time: 0.4160 data_time: 0.0219 memory: 17006 grad_norm: 12.0646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9538 loss: 0.9538 2022/07/30 16:43:38 - mmengine - INFO - Epoch(train) [176][2080/3757] lr: 1.9027e-05 eta: 1:55:46 time: 0.4070 data_time: 0.0206 memory: 17006 grad_norm: 11.9938 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0446 loss: 1.0446 2022/07/30 16:43:46 - mmengine - INFO - Epoch(train) [176][2100/3757] lr: 1.9027e-05 eta: 1:55:38 time: 0.4244 data_time: 0.0218 memory: 17006 grad_norm: 12.6561 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0430 loss: 1.0430 2022/07/30 16:43:54 - mmengine - INFO - Epoch(train) [176][2120/3757] lr: 1.9027e-05 eta: 1:55:30 time: 0.4098 data_time: 0.0216 memory: 17006 grad_norm: 11.9794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9465 loss: 0.9465 2022/07/30 16:44:03 - mmengine - INFO - Epoch(train) [176][2140/3757] lr: 1.9027e-05 eta: 1:55:21 time: 0.4276 data_time: 0.0216 memory: 17006 grad_norm: 12.2459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2734 loss: 1.2734 2022/07/30 16:44:11 - mmengine - INFO - Epoch(train) [176][2160/3757] lr: 1.9027e-05 eta: 1:55:13 time: 0.4070 data_time: 0.0217 memory: 17006 grad_norm: 11.9423 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9747 loss: 0.9747 2022/07/30 16:44:19 - mmengine - INFO - Epoch(train) [176][2180/3757] lr: 1.9027e-05 eta: 1:55:05 time: 0.4045 data_time: 0.0191 memory: 17006 grad_norm: 12.4737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1550 loss: 1.1550 2022/07/30 16:44:28 - mmengine - INFO - Epoch(train) [176][2200/3757] lr: 1.9027e-05 eta: 1:54:56 time: 0.4306 data_time: 0.0231 memory: 17006 grad_norm: 12.0953 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0949 loss: 1.0949 2022/07/30 16:44:36 - mmengine - INFO - Epoch(train) [176][2220/3757] lr: 1.9027e-05 eta: 1:54:48 time: 0.4104 data_time: 0.0206 memory: 17006 grad_norm: 12.6047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2959 loss: 1.2959 2022/07/30 16:44:45 - mmengine - INFO - Epoch(train) [176][2240/3757] lr: 1.9027e-05 eta: 1:54:40 time: 0.4262 data_time: 0.0226 memory: 17006 grad_norm: 11.8681 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0574 loss: 1.0574 2022/07/30 16:44:53 - mmengine - INFO - Epoch(train) [176][2260/3757] lr: 1.9027e-05 eta: 1:54:32 time: 0.4190 data_time: 0.0203 memory: 17006 grad_norm: 12.3908 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0700 loss: 1.0700 2022/07/30 16:45:01 - mmengine - INFO - Epoch(train) [176][2280/3757] lr: 1.9027e-05 eta: 1:54:23 time: 0.4064 data_time: 0.0211 memory: 17006 grad_norm: 12.1336 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0408 loss: 1.0408 2022/07/30 16:45:10 - mmengine - INFO - Epoch(train) [176][2300/3757] lr: 1.9027e-05 eta: 1:54:15 time: 0.4197 data_time: 0.0235 memory: 17006 grad_norm: 12.0903 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0100 loss: 1.0100 2022/07/30 16:45:18 - mmengine - INFO - Epoch(train) [176][2320/3757] lr: 1.9027e-05 eta: 1:54:07 time: 0.4108 data_time: 0.0218 memory: 17006 grad_norm: 12.3352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0723 loss: 1.0723 2022/07/30 16:45:27 - mmengine - INFO - Epoch(train) [176][2340/3757] lr: 1.9027e-05 eta: 1:53:58 time: 0.4249 data_time: 0.0222 memory: 17006 grad_norm: 11.8272 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9937 loss: 0.9937 2022/07/30 16:45:35 - mmengine - INFO - Epoch(train) [176][2360/3757] lr: 1.9027e-05 eta: 1:53:50 time: 0.4096 data_time: 0.0224 memory: 17006 grad_norm: 12.6041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1190 loss: 1.1190 2022/07/30 16:45:43 - mmengine - INFO - Epoch(train) [176][2380/3757] lr: 1.9027e-05 eta: 1:53:42 time: 0.4197 data_time: 0.0198 memory: 17006 grad_norm: 12.2199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/07/30 16:45:51 - mmengine - INFO - Epoch(train) [176][2400/3757] lr: 1.9027e-05 eta: 1:53:33 time: 0.4079 data_time: 0.0202 memory: 17006 grad_norm: 12.5441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3033 loss: 1.3033 2022/07/30 16:46:00 - mmengine - INFO - Epoch(train) [176][2420/3757] lr: 1.9027e-05 eta: 1:53:25 time: 0.4222 data_time: 0.0199 memory: 17006 grad_norm: 12.2861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3205 loss: 1.3205 2022/07/30 16:46:09 - mmengine - INFO - Epoch(train) [176][2440/3757] lr: 1.9027e-05 eta: 1:53:17 time: 0.4311 data_time: 0.0233 memory: 17006 grad_norm: 12.3740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9973 loss: 0.9973 2022/07/30 16:46:17 - mmengine - INFO - Epoch(train) [176][2460/3757] lr: 1.9027e-05 eta: 1:53:08 time: 0.4085 data_time: 0.0230 memory: 17006 grad_norm: 12.7917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0780 loss: 1.0780 2022/07/30 16:46:25 - mmengine - INFO - Epoch(train) [176][2480/3757] lr: 1.9027e-05 eta: 1:53:00 time: 0.4344 data_time: 0.0241 memory: 17006 grad_norm: 11.9870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1214 loss: 1.1214 2022/07/30 16:46:34 - mmengine - INFO - Epoch(train) [176][2500/3757] lr: 1.9027e-05 eta: 1:52:52 time: 0.4077 data_time: 0.0203 memory: 17006 grad_norm: 12.2820 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9652 loss: 0.9652 2022/07/30 16:46:42 - mmengine - INFO - Epoch(train) [176][2520/3757] lr: 1.9027e-05 eta: 1:52:43 time: 0.4054 data_time: 0.0211 memory: 17006 grad_norm: 12.4010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/07/30 16:46:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:46:51 - mmengine - INFO - Epoch(train) [176][2540/3757] lr: 1.9027e-05 eta: 1:52:35 time: 0.4381 data_time: 0.0268 memory: 17006 grad_norm: 12.0174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1741 loss: 1.1741 2022/07/30 16:46:59 - mmengine - INFO - Epoch(train) [176][2560/3757] lr: 1.9027e-05 eta: 1:52:27 time: 0.4070 data_time: 0.0205 memory: 17006 grad_norm: 12.0724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1749 loss: 1.1749 2022/07/30 16:47:07 - mmengine - INFO - Epoch(train) [176][2580/3757] lr: 1.9027e-05 eta: 1:52:18 time: 0.4192 data_time: 0.0211 memory: 17006 grad_norm: 12.1008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1946 loss: 1.1946 2022/07/30 16:47:15 - mmengine - INFO - Epoch(train) [176][2600/3757] lr: 1.9027e-05 eta: 1:52:10 time: 0.4064 data_time: 0.0215 memory: 17006 grad_norm: 12.2940 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1009 loss: 1.1009 2022/07/30 16:47:24 - mmengine - INFO - Epoch(train) [176][2620/3757] lr: 1.9027e-05 eta: 1:52:02 time: 0.4223 data_time: 0.0215 memory: 17006 grad_norm: 12.0429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0064 loss: 1.0064 2022/07/30 16:47:32 - mmengine - INFO - Epoch(train) [176][2640/3757] lr: 1.9027e-05 eta: 1:51:54 time: 0.4078 data_time: 0.0212 memory: 17006 grad_norm: 12.2233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0560 loss: 1.0560 2022/07/30 16:47:40 - mmengine - INFO - Epoch(train) [176][2660/3757] lr: 1.9027e-05 eta: 1:51:45 time: 0.4067 data_time: 0.0193 memory: 17006 grad_norm: 12.2631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0946 loss: 1.0946 2022/07/30 16:47:49 - mmengine - INFO - Epoch(train) [176][2680/3757] lr: 1.9027e-05 eta: 1:51:37 time: 0.4211 data_time: 0.0218 memory: 17006 grad_norm: 11.7236 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1366 loss: 1.1366 2022/07/30 16:47:57 - mmengine - INFO - Epoch(train) [176][2700/3757] lr: 1.9027e-05 eta: 1:51:29 time: 0.4066 data_time: 0.0203 memory: 17006 grad_norm: 12.1479 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0886 loss: 1.0886 2022/07/30 16:48:06 - mmengine - INFO - Epoch(train) [176][2720/3757] lr: 1.9027e-05 eta: 1:51:20 time: 0.4341 data_time: 0.0231 memory: 17006 grad_norm: 12.4468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1435 loss: 1.1435 2022/07/30 16:48:14 - mmengine - INFO - Epoch(train) [176][2740/3757] lr: 1.9027e-05 eta: 1:51:12 time: 0.4072 data_time: 0.0199 memory: 17006 grad_norm: 11.9794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2104 loss: 1.2104 2022/07/30 16:48:22 - mmengine - INFO - Epoch(train) [176][2760/3757] lr: 1.9027e-05 eta: 1:51:04 time: 0.4084 data_time: 0.0208 memory: 17006 grad_norm: 12.4090 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2078 loss: 1.2078 2022/07/30 16:48:30 - mmengine - INFO - Epoch(train) [176][2780/3757] lr: 1.9027e-05 eta: 1:50:55 time: 0.4183 data_time: 0.0216 memory: 17006 grad_norm: 12.1212 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2914 loss: 1.2914 2022/07/30 16:48:39 - mmengine - INFO - Epoch(train) [176][2800/3757] lr: 1.9027e-05 eta: 1:50:47 time: 0.4451 data_time: 0.0203 memory: 17006 grad_norm: 12.5880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2561 loss: 1.2561 2022/07/30 16:48:48 - mmengine - INFO - Epoch(train) [176][2820/3757] lr: 1.9027e-05 eta: 1:50:39 time: 0.4197 data_time: 0.0218 memory: 17006 grad_norm: 11.9863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1287 loss: 1.1287 2022/07/30 16:48:56 - mmengine - INFO - Epoch(train) [176][2840/3757] lr: 1.9027e-05 eta: 1:50:30 time: 0.4246 data_time: 0.0213 memory: 17006 grad_norm: 12.2211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2950 loss: 1.2950 2022/07/30 16:49:05 - mmengine - INFO - Epoch(train) [176][2860/3757] lr: 1.9027e-05 eta: 1:50:22 time: 0.4319 data_time: 0.0207 memory: 17006 grad_norm: 12.8104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7947 loss: 0.7947 2022/07/30 16:49:13 - mmengine - INFO - Epoch(train) [176][2880/3757] lr: 1.9027e-05 eta: 1:50:14 time: 0.4152 data_time: 0.0211 memory: 17006 grad_norm: 12.1407 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1052 loss: 1.1052 2022/07/30 16:49:21 - mmengine - INFO - Epoch(train) [176][2900/3757] lr: 1.9027e-05 eta: 1:50:05 time: 0.4077 data_time: 0.0215 memory: 17006 grad_norm: 12.1144 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0006 loss: 1.0006 2022/07/30 16:49:30 - mmengine - INFO - Epoch(train) [176][2920/3757] lr: 1.9027e-05 eta: 1:49:57 time: 0.4246 data_time: 0.0245 memory: 17006 grad_norm: 12.0533 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8930 loss: 0.8930 2022/07/30 16:49:38 - mmengine - INFO - Epoch(train) [176][2940/3757] lr: 1.9027e-05 eta: 1:49:49 time: 0.4144 data_time: 0.0215 memory: 17006 grad_norm: 12.3166 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1145 loss: 1.1145 2022/07/30 16:49:47 - mmengine - INFO - Epoch(train) [176][2960/3757] lr: 1.9027e-05 eta: 1:49:41 time: 0.4150 data_time: 0.0228 memory: 17006 grad_norm: 12.2554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2054 loss: 1.2054 2022/07/30 16:49:55 - mmengine - INFO - Epoch(train) [176][2980/3757] lr: 1.9027e-05 eta: 1:49:32 time: 0.4251 data_time: 0.0208 memory: 17006 grad_norm: 12.3298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7540 loss: 0.7540 2022/07/30 16:50:04 - mmengine - INFO - Epoch(train) [176][3000/3757] lr: 1.9027e-05 eta: 1:49:24 time: 0.4214 data_time: 0.0203 memory: 17006 grad_norm: 12.1631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9789 loss: 0.9789 2022/07/30 16:50:12 - mmengine - INFO - Epoch(train) [176][3020/3757] lr: 1.9027e-05 eta: 1:49:16 time: 0.4052 data_time: 0.0198 memory: 17006 grad_norm: 12.4582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3225 loss: 1.3225 2022/07/30 16:50:20 - mmengine - INFO - Epoch(train) [176][3040/3757] lr: 1.9027e-05 eta: 1:49:07 time: 0.4106 data_time: 0.0216 memory: 17006 grad_norm: 11.8778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1663 loss: 1.1663 2022/07/30 16:50:28 - mmengine - INFO - Epoch(train) [176][3060/3757] lr: 1.9027e-05 eta: 1:48:59 time: 0.4143 data_time: 0.0225 memory: 17006 grad_norm: 12.7031 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0622 loss: 1.0622 2022/07/30 16:50:37 - mmengine - INFO - Epoch(train) [176][3080/3757] lr: 1.9027e-05 eta: 1:48:51 time: 0.4361 data_time: 0.0215 memory: 17006 grad_norm: 12.6522 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8928 loss: 0.8928 2022/07/30 16:50:46 - mmengine - INFO - Epoch(train) [176][3100/3757] lr: 1.9027e-05 eta: 1:48:42 time: 0.4294 data_time: 0.0206 memory: 17006 grad_norm: 12.1376 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2238 loss: 1.2238 2022/07/30 16:50:54 - mmengine - INFO - Epoch(train) [176][3120/3757] lr: 1.9027e-05 eta: 1:48:34 time: 0.4082 data_time: 0.0208 memory: 17006 grad_norm: 12.1900 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1803 loss: 1.1803 2022/07/30 16:51:02 - mmengine - INFO - Epoch(train) [176][3140/3757] lr: 1.9027e-05 eta: 1:48:26 time: 0.4070 data_time: 0.0202 memory: 17006 grad_norm: 12.6474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/07/30 16:51:11 - mmengine - INFO - Epoch(train) [176][3160/3757] lr: 1.9027e-05 eta: 1:48:17 time: 0.4252 data_time: 0.0232 memory: 17006 grad_norm: 12.6942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2490 loss: 1.2490 2022/07/30 16:51:19 - mmengine - INFO - Epoch(train) [176][3180/3757] lr: 1.9027e-05 eta: 1:48:09 time: 0.4091 data_time: 0.0213 memory: 17006 grad_norm: 11.7262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9356 loss: 0.9356 2022/07/30 16:51:27 - mmengine - INFO - Epoch(train) [176][3200/3757] lr: 1.9027e-05 eta: 1:48:01 time: 0.4253 data_time: 0.0230 memory: 17006 grad_norm: 12.5938 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1127 loss: 1.1127 2022/07/30 16:51:36 - mmengine - INFO - Epoch(train) [176][3220/3757] lr: 1.9027e-05 eta: 1:47:52 time: 0.4167 data_time: 0.0199 memory: 17006 grad_norm: 12.3617 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9937 loss: 0.9937 2022/07/30 16:51:44 - mmengine - INFO - Epoch(train) [176][3240/3757] lr: 1.9027e-05 eta: 1:47:44 time: 0.4411 data_time: 0.0227 memory: 17006 grad_norm: 12.1622 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1392 loss: 1.1392 2022/07/30 16:51:53 - mmengine - INFO - Epoch(train) [176][3260/3757] lr: 1.9027e-05 eta: 1:47:36 time: 0.4089 data_time: 0.0208 memory: 17006 grad_norm: 11.8659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9865 loss: 0.9865 2022/07/30 16:52:01 - mmengine - INFO - Epoch(train) [176][3280/3757] lr: 1.9027e-05 eta: 1:47:27 time: 0.4062 data_time: 0.0201 memory: 17006 grad_norm: 12.7293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/07/30 16:52:09 - mmengine - INFO - Epoch(train) [176][3300/3757] lr: 1.9027e-05 eta: 1:47:19 time: 0.4286 data_time: 0.0221 memory: 17006 grad_norm: 12.3590 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1457 loss: 1.1457 2022/07/30 16:52:18 - mmengine - INFO - Epoch(train) [176][3320/3757] lr: 1.9027e-05 eta: 1:47:11 time: 0.4090 data_time: 0.0239 memory: 17006 grad_norm: 12.4601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9096 loss: 0.9096 2022/07/30 16:52:26 - mmengine - INFO - Epoch(train) [176][3340/3757] lr: 1.9027e-05 eta: 1:47:03 time: 0.4143 data_time: 0.0223 memory: 17006 grad_norm: 12.2523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0286 loss: 1.0286 2022/07/30 16:52:34 - mmengine - INFO - Epoch(train) [176][3360/3757] lr: 1.9027e-05 eta: 1:46:54 time: 0.4238 data_time: 0.0213 memory: 17006 grad_norm: 11.2579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2170 loss: 1.2170 2022/07/30 16:52:43 - mmengine - INFO - Epoch(train) [176][3380/3757] lr: 1.9027e-05 eta: 1:46:46 time: 0.4168 data_time: 0.0215 memory: 17006 grad_norm: 12.1601 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0811 loss: 1.0811 2022/07/30 16:52:51 - mmengine - INFO - Epoch(train) [176][3400/3757] lr: 1.9027e-05 eta: 1:46:38 time: 0.4080 data_time: 0.0191 memory: 17006 grad_norm: 11.9180 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3209 loss: 1.3209 2022/07/30 16:53:00 - mmengine - INFO - Epoch(train) [176][3420/3757] lr: 1.9027e-05 eta: 1:46:29 time: 0.4388 data_time: 0.0198 memory: 17006 grad_norm: 11.9244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2987 loss: 1.2987 2022/07/30 16:53:08 - mmengine - INFO - Epoch(train) [176][3440/3757] lr: 1.9027e-05 eta: 1:46:21 time: 0.4123 data_time: 0.0243 memory: 17006 grad_norm: 12.6254 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1998 loss: 1.1998 2022/07/30 16:53:16 - mmengine - INFO - Epoch(train) [176][3460/3757] lr: 1.9027e-05 eta: 1:46:13 time: 0.4123 data_time: 0.0218 memory: 17006 grad_norm: 12.4947 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9226 loss: 0.9226 2022/07/30 16:53:25 - mmengine - INFO - Epoch(train) [176][3480/3757] lr: 1.9027e-05 eta: 1:46:04 time: 0.4101 data_time: 0.0215 memory: 17006 grad_norm: 11.5383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0010 loss: 1.0010 2022/07/30 16:53:33 - mmengine - INFO - Epoch(train) [176][3500/3757] lr: 1.9027e-05 eta: 1:45:56 time: 0.4103 data_time: 0.0207 memory: 17006 grad_norm: 12.7333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2286 loss: 1.2286 2022/07/30 16:53:41 - mmengine - INFO - Epoch(train) [176][3520/3757] lr: 1.9027e-05 eta: 1:45:48 time: 0.4076 data_time: 0.0221 memory: 17006 grad_norm: 12.5608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9963 loss: 0.9963 2022/07/30 16:53:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:53:49 - mmengine - INFO - Epoch(train) [176][3540/3757] lr: 1.9027e-05 eta: 1:45:39 time: 0.4141 data_time: 0.0230 memory: 17006 grad_norm: 12.2268 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1719 loss: 1.1719 2022/07/30 16:53:58 - mmengine - INFO - Epoch(train) [176][3560/3757] lr: 1.9027e-05 eta: 1:45:31 time: 0.4100 data_time: 0.0212 memory: 17006 grad_norm: 11.9505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1942 loss: 1.1942 2022/07/30 16:54:06 - mmengine - INFO - Epoch(train) [176][3580/3757] lr: 1.9027e-05 eta: 1:45:23 time: 0.4134 data_time: 0.0235 memory: 17006 grad_norm: 12.0774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4267 loss: 1.4267 2022/07/30 16:54:14 - mmengine - INFO - Epoch(train) [176][3600/3757] lr: 1.9027e-05 eta: 1:45:14 time: 0.4116 data_time: 0.0220 memory: 17006 grad_norm: 11.7800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8378 loss: 0.8378 2022/07/30 16:54:22 - mmengine - INFO - Epoch(train) [176][3620/3757] lr: 1.9027e-05 eta: 1:45:06 time: 0.4067 data_time: 0.0194 memory: 17006 grad_norm: 11.9057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2899 loss: 1.2899 2022/07/30 16:54:31 - mmengine - INFO - Epoch(train) [176][3640/3757] lr: 1.9027e-05 eta: 1:44:58 time: 0.4146 data_time: 0.0240 memory: 17006 grad_norm: 11.3269 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0831 loss: 1.0831 2022/07/30 16:54:39 - mmengine - INFO - Epoch(train) [176][3660/3757] lr: 1.9027e-05 eta: 1:44:49 time: 0.4084 data_time: 0.0195 memory: 17006 grad_norm: 12.4360 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1752 loss: 1.1752 2022/07/30 16:54:48 - mmengine - INFO - Epoch(train) [176][3680/3757] lr: 1.9027e-05 eta: 1:44:41 time: 0.4312 data_time: 0.0236 memory: 17006 grad_norm: 12.3476 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1547 loss: 1.1547 2022/07/30 16:54:56 - mmengine - INFO - Epoch(train) [176][3700/3757] lr: 1.9027e-05 eta: 1:44:33 time: 0.4122 data_time: 0.0209 memory: 17006 grad_norm: 12.0756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2535 loss: 1.2535 2022/07/30 16:55:04 - mmengine - INFO - Epoch(train) [176][3720/3757] lr: 1.9027e-05 eta: 1:44:24 time: 0.4124 data_time: 0.0229 memory: 17006 grad_norm: 11.8682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1707 loss: 1.1707 2022/07/30 16:55:12 - mmengine - INFO - Epoch(train) [176][3740/3757] lr: 1.9027e-05 eta: 1:44:16 time: 0.4058 data_time: 0.0203 memory: 17006 grad_norm: 12.4917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0918 loss: 1.0918 2022/07/30 16:55:19 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 16:55:19 - mmengine - INFO - Epoch(train) [176][3757/3757] lr: 1.9027e-05 eta: 1:44:16 time: 0.3986 data_time: 0.0192 memory: 17006 grad_norm: 11.5814 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0856 loss: 1.0856 2022/07/30 16:55:19 - mmengine - INFO - Saving checkpoint at 176 epochs 2022/07/30 16:55:33 - mmengine - INFO - Epoch(train) [177][20/3757] lr: 1.2180e-05 eta: 1:44:00 time: 0.4606 data_time: 0.0676 memory: 17006 grad_norm: 13.0434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1814 loss: 1.1814 2022/07/30 16:55:41 - mmengine - INFO - Epoch(train) [177][40/3757] lr: 1.2180e-05 eta: 1:43:52 time: 0.4158 data_time: 0.0236 memory: 17006 grad_norm: 12.3051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2075 loss: 1.2075 2022/07/30 16:55:50 - mmengine - INFO - Epoch(train) [177][60/3757] lr: 1.2180e-05 eta: 1:43:44 time: 0.4155 data_time: 0.0237 memory: 17006 grad_norm: 11.9902 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2577 loss: 1.2577 2022/07/30 16:55:58 - mmengine - INFO - Epoch(train) [177][80/3757] lr: 1.2180e-05 eta: 1:43:35 time: 0.4151 data_time: 0.0201 memory: 17006 grad_norm: 12.0664 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0696 loss: 1.0696 2022/07/30 16:56:06 - mmengine - INFO - Epoch(train) [177][100/3757] lr: 1.2180e-05 eta: 1:43:27 time: 0.4175 data_time: 0.0247 memory: 17006 grad_norm: 12.1542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9757 loss: 0.9757 2022/07/30 16:56:15 - mmengine - INFO - Epoch(train) [177][120/3757] lr: 1.2180e-05 eta: 1:43:19 time: 0.4248 data_time: 0.0216 memory: 17006 grad_norm: 11.9182 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1560 loss: 1.1560 2022/07/30 16:56:23 - mmengine - INFO - Epoch(train) [177][140/3757] lr: 1.2180e-05 eta: 1:43:10 time: 0.4143 data_time: 0.0212 memory: 17006 grad_norm: 12.2593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9802 loss: 0.9802 2022/07/30 16:56:31 - mmengine - INFO - Epoch(train) [177][160/3757] lr: 1.2180e-05 eta: 1:43:02 time: 0.4080 data_time: 0.0209 memory: 17006 grad_norm: 12.0402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1889 loss: 1.1889 2022/07/30 16:56:40 - mmengine - INFO - Epoch(train) [177][180/3757] lr: 1.2180e-05 eta: 1:42:54 time: 0.4219 data_time: 0.0201 memory: 17006 grad_norm: 12.4115 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8425 loss: 0.8425 2022/07/30 16:56:48 - mmengine - INFO - Epoch(train) [177][200/3757] lr: 1.2180e-05 eta: 1:42:46 time: 0.4171 data_time: 0.0224 memory: 17006 grad_norm: 12.3984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2757 loss: 1.2757 2022/07/30 16:56:56 - mmengine - INFO - Epoch(train) [177][220/3757] lr: 1.2180e-05 eta: 1:42:37 time: 0.4101 data_time: 0.0203 memory: 17006 grad_norm: 12.4224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1151 loss: 1.1151 2022/07/30 16:57:05 - mmengine - INFO - Epoch(train) [177][240/3757] lr: 1.2180e-05 eta: 1:42:29 time: 0.4146 data_time: 0.0225 memory: 17006 grad_norm: 11.9149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9534 loss: 0.9534 2022/07/30 16:57:13 - mmengine - INFO - Epoch(train) [177][260/3757] lr: 1.2180e-05 eta: 1:42:21 time: 0.4081 data_time: 0.0218 memory: 17006 grad_norm: 12.8360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1544 loss: 1.1544 2022/07/30 16:57:21 - mmengine - INFO - Epoch(train) [177][280/3757] lr: 1.2180e-05 eta: 1:42:12 time: 0.4095 data_time: 0.0215 memory: 17006 grad_norm: 12.0841 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2835 loss: 1.2835 2022/07/30 16:57:30 - mmengine - INFO - Epoch(train) [177][300/3757] lr: 1.2180e-05 eta: 1:42:04 time: 0.4245 data_time: 0.0230 memory: 17006 grad_norm: 12.4933 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9726 loss: 0.9726 2022/07/30 16:57:38 - mmengine - INFO - Epoch(train) [177][320/3757] lr: 1.2180e-05 eta: 1:41:56 time: 0.4123 data_time: 0.0202 memory: 17006 grad_norm: 11.5472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8360 loss: 0.8360 2022/07/30 16:57:46 - mmengine - INFO - Epoch(train) [177][340/3757] lr: 1.2180e-05 eta: 1:41:47 time: 0.4180 data_time: 0.0211 memory: 17006 grad_norm: 12.9790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2210 loss: 1.2210 2022/07/30 16:57:55 - mmengine - INFO - Epoch(train) [177][360/3757] lr: 1.2180e-05 eta: 1:41:39 time: 0.4130 data_time: 0.0216 memory: 17006 grad_norm: 12.5074 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/07/30 16:58:03 - mmengine - INFO - Epoch(train) [177][380/3757] lr: 1.2180e-05 eta: 1:41:31 time: 0.4081 data_time: 0.0215 memory: 17006 grad_norm: 12.1463 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2090 loss: 1.2090 2022/07/30 16:58:11 - mmengine - INFO - Epoch(train) [177][400/3757] lr: 1.2180e-05 eta: 1:41:22 time: 0.4167 data_time: 0.0297 memory: 17006 grad_norm: 12.4451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2362 loss: 1.2362 2022/07/30 16:58:19 - mmengine - INFO - Epoch(train) [177][420/3757] lr: 1.2180e-05 eta: 1:41:14 time: 0.4077 data_time: 0.0208 memory: 17006 grad_norm: 11.9510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9262 loss: 0.9262 2022/07/30 16:58:28 - mmengine - INFO - Epoch(train) [177][440/3757] lr: 1.2180e-05 eta: 1:41:06 time: 0.4117 data_time: 0.0225 memory: 17006 grad_norm: 12.6353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3399 loss: 1.3399 2022/07/30 16:58:37 - mmengine - INFO - Epoch(train) [177][460/3757] lr: 1.2180e-05 eta: 1:40:57 time: 0.4402 data_time: 0.0200 memory: 17006 grad_norm: 12.3915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0256 loss: 1.0256 2022/07/30 16:58:45 - mmengine - INFO - Epoch(train) [177][480/3757] lr: 1.2180e-05 eta: 1:40:49 time: 0.4130 data_time: 0.0230 memory: 17006 grad_norm: 12.5302 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1349 loss: 1.1349 2022/07/30 16:58:53 - mmengine - INFO - Epoch(train) [177][500/3757] lr: 1.2180e-05 eta: 1:40:41 time: 0.4098 data_time: 0.0212 memory: 17006 grad_norm: 11.9149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0028 loss: 1.0028 2022/07/30 16:59:01 - mmengine - INFO - Epoch(train) [177][520/3757] lr: 1.2180e-05 eta: 1:40:32 time: 0.4087 data_time: 0.0205 memory: 17006 grad_norm: 12.4855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3981 loss: 1.3981 2022/07/30 16:59:10 - mmengine - INFO - Epoch(train) [177][540/3757] lr: 1.2180e-05 eta: 1:40:24 time: 0.4399 data_time: 0.0231 memory: 17006 grad_norm: 12.6327 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0930 loss: 1.0930 2022/07/30 16:59:18 - mmengine - INFO - Epoch(train) [177][560/3757] lr: 1.2180e-05 eta: 1:40:16 time: 0.4115 data_time: 0.0212 memory: 17006 grad_norm: 12.4641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1295 loss: 1.1295 2022/07/30 16:59:27 - mmengine - INFO - Epoch(train) [177][580/3757] lr: 1.2180e-05 eta: 1:40:07 time: 0.4147 data_time: 0.0226 memory: 17006 grad_norm: 12.6110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1851 loss: 1.1851 2022/07/30 16:59:35 - mmengine - INFO - Epoch(train) [177][600/3757] lr: 1.2180e-05 eta: 1:39:59 time: 0.4075 data_time: 0.0209 memory: 17006 grad_norm: 12.7876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3131 loss: 1.3131 2022/07/30 16:59:43 - mmengine - INFO - Epoch(train) [177][620/3757] lr: 1.2180e-05 eta: 1:39:51 time: 0.4052 data_time: 0.0203 memory: 17006 grad_norm: 12.7814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1332 loss: 1.1332 2022/07/30 16:59:51 - mmengine - INFO - Epoch(train) [177][640/3757] lr: 1.2180e-05 eta: 1:39:43 time: 0.4234 data_time: 0.0223 memory: 17006 grad_norm: 11.9423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0011 loss: 1.0011 2022/07/30 17:00:00 - mmengine - INFO - Epoch(train) [177][660/3757] lr: 1.2180e-05 eta: 1:39:34 time: 0.4085 data_time: 0.0217 memory: 17006 grad_norm: 12.0167 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8354 loss: 0.8354 2022/07/30 17:00:08 - mmengine - INFO - Epoch(train) [177][680/3757] lr: 1.2180e-05 eta: 1:39:26 time: 0.4334 data_time: 0.0219 memory: 17006 grad_norm: 12.8153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1570 loss: 1.1570 2022/07/30 17:00:17 - mmengine - INFO - Epoch(train) [177][700/3757] lr: 1.2180e-05 eta: 1:39:18 time: 0.4085 data_time: 0.0214 memory: 17006 grad_norm: 12.7120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2014 loss: 1.2014 2022/07/30 17:00:25 - mmengine - INFO - Epoch(train) [177][720/3757] lr: 1.2180e-05 eta: 1:39:09 time: 0.4230 data_time: 0.0226 memory: 17006 grad_norm: 12.3706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/07/30 17:00:33 - mmengine - INFO - Epoch(train) [177][740/3757] lr: 1.2180e-05 eta: 1:39:01 time: 0.4070 data_time: 0.0205 memory: 17006 grad_norm: 12.1773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/07/30 17:00:41 - mmengine - INFO - Epoch(train) [177][760/3757] lr: 1.2180e-05 eta: 1:38:53 time: 0.4073 data_time: 0.0195 memory: 17006 grad_norm: 12.6268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2064 loss: 1.2064 2022/07/30 17:00:45 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:00:50 - mmengine - INFO - Epoch(train) [177][780/3757] lr: 1.2180e-05 eta: 1:38:44 time: 0.4238 data_time: 0.0207 memory: 17006 grad_norm: 12.2650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/07/30 17:00:58 - mmengine - INFO - Epoch(train) [177][800/3757] lr: 1.2180e-05 eta: 1:38:36 time: 0.4116 data_time: 0.0233 memory: 17006 grad_norm: 12.3701 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9589 loss: 0.9589 2022/07/30 17:01:07 - mmengine - INFO - Epoch(train) [177][820/3757] lr: 1.2180e-05 eta: 1:38:28 time: 0.4172 data_time: 0.0196 memory: 17006 grad_norm: 11.6729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8374 loss: 0.8374 2022/07/30 17:01:15 - mmengine - INFO - Epoch(train) [177][840/3757] lr: 1.2180e-05 eta: 1:38:19 time: 0.4113 data_time: 0.0232 memory: 17006 grad_norm: 12.2645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9625 loss: 0.9625 2022/07/30 17:01:23 - mmengine - INFO - Epoch(train) [177][860/3757] lr: 1.2180e-05 eta: 1:38:11 time: 0.4079 data_time: 0.0215 memory: 17006 grad_norm: 12.1580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8471 loss: 0.8471 2022/07/30 17:01:31 - mmengine - INFO - Epoch(train) [177][880/3757] lr: 1.2180e-05 eta: 1:38:03 time: 0.4079 data_time: 0.0204 memory: 17006 grad_norm: 12.1389 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0501 loss: 1.0501 2022/07/30 17:01:40 - mmengine - INFO - Epoch(train) [177][900/3757] lr: 1.2180e-05 eta: 1:37:54 time: 0.4358 data_time: 0.0236 memory: 17006 grad_norm: 12.5396 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1231 loss: 1.1231 2022/07/30 17:01:48 - mmengine - INFO - Epoch(train) [177][920/3757] lr: 1.2180e-05 eta: 1:37:46 time: 0.4064 data_time: 0.0200 memory: 17006 grad_norm: 12.6323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1340 loss: 1.1340 2022/07/30 17:01:57 - mmengine - INFO - Epoch(train) [177][940/3757] lr: 1.2180e-05 eta: 1:37:38 time: 0.4405 data_time: 0.0248 memory: 17006 grad_norm: 12.3901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/07/30 17:02:05 - mmengine - INFO - Epoch(train) [177][960/3757] lr: 1.2180e-05 eta: 1:37:29 time: 0.4083 data_time: 0.0215 memory: 17006 grad_norm: 11.9665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1039 loss: 1.1039 2022/07/30 17:02:14 - mmengine - INFO - Epoch(train) [177][980/3757] lr: 1.2180e-05 eta: 1:37:21 time: 0.4178 data_time: 0.0233 memory: 17006 grad_norm: 12.7921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8741 loss: 0.8741 2022/07/30 17:02:22 - mmengine - INFO - Epoch(train) [177][1000/3757] lr: 1.2180e-05 eta: 1:37:13 time: 0.4186 data_time: 0.0209 memory: 17006 grad_norm: 11.7396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9819 loss: 0.9819 2022/07/30 17:02:30 - mmengine - INFO - Epoch(train) [177][1020/3757] lr: 1.2180e-05 eta: 1:37:05 time: 0.4095 data_time: 0.0210 memory: 17006 grad_norm: 12.5248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1877 loss: 1.1877 2022/07/30 17:02:39 - mmengine - INFO - Epoch(train) [177][1040/3757] lr: 1.2180e-05 eta: 1:36:56 time: 0.4189 data_time: 0.0201 memory: 17006 grad_norm: 12.3589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0935 loss: 1.0935 2022/07/30 17:02:47 - mmengine - INFO - Epoch(train) [177][1060/3757] lr: 1.2180e-05 eta: 1:36:48 time: 0.4095 data_time: 0.0216 memory: 17006 grad_norm: 11.6714 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0756 loss: 1.0756 2022/07/30 17:02:55 - mmengine - INFO - Epoch(train) [177][1080/3757] lr: 1.2180e-05 eta: 1:36:40 time: 0.4284 data_time: 0.0297 memory: 17006 grad_norm: 11.7161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8943 loss: 0.8943 2022/07/30 17:03:04 - mmengine - INFO - Epoch(train) [177][1100/3757] lr: 1.2180e-05 eta: 1:36:31 time: 0.4062 data_time: 0.0216 memory: 17006 grad_norm: 12.3888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9845 loss: 0.9845 2022/07/30 17:03:12 - mmengine - INFO - Epoch(train) [177][1120/3757] lr: 1.2180e-05 eta: 1:36:23 time: 0.4094 data_time: 0.0237 memory: 17006 grad_norm: 12.5787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9264 loss: 0.9264 2022/07/30 17:03:21 - mmengine - INFO - Epoch(train) [177][1140/3757] lr: 1.2180e-05 eta: 1:36:15 time: 0.4531 data_time: 0.0229 memory: 17006 grad_norm: 11.8002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1533 loss: 1.1533 2022/07/30 17:03:29 - mmengine - INFO - Epoch(train) [177][1160/3757] lr: 1.2180e-05 eta: 1:36:06 time: 0.4081 data_time: 0.0214 memory: 17006 grad_norm: 12.8766 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2604 loss: 1.2604 2022/07/30 17:03:38 - mmengine - INFO - Epoch(train) [177][1180/3757] lr: 1.2180e-05 eta: 1:35:58 time: 0.4287 data_time: 0.0230 memory: 17006 grad_norm: 12.2857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9480 loss: 0.9480 2022/07/30 17:03:46 - mmengine - INFO - Epoch(train) [177][1200/3757] lr: 1.2180e-05 eta: 1:35:50 time: 0.4073 data_time: 0.0220 memory: 17006 grad_norm: 12.0787 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9921 loss: 0.9921 2022/07/30 17:03:55 - mmengine - INFO - Epoch(train) [177][1220/3757] lr: 1.2180e-05 eta: 1:35:41 time: 0.4337 data_time: 0.0227 memory: 17006 grad_norm: 12.0127 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0906 loss: 1.0906 2022/07/30 17:04:03 - mmengine - INFO - Epoch(train) [177][1240/3757] lr: 1.2180e-05 eta: 1:35:33 time: 0.4074 data_time: 0.0215 memory: 17006 grad_norm: 11.9362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/07/30 17:04:11 - mmengine - INFO - Epoch(train) [177][1260/3757] lr: 1.2180e-05 eta: 1:35:25 time: 0.4067 data_time: 0.0210 memory: 17006 grad_norm: 12.2223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9846 loss: 0.9846 2022/07/30 17:04:19 - mmengine - INFO - Epoch(train) [177][1280/3757] lr: 1.2180e-05 eta: 1:35:16 time: 0.4252 data_time: 0.0237 memory: 17006 grad_norm: 12.7622 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1985 loss: 1.1985 2022/07/30 17:04:28 - mmengine - INFO - Epoch(train) [177][1300/3757] lr: 1.2180e-05 eta: 1:35:08 time: 0.4101 data_time: 0.0212 memory: 17006 grad_norm: 12.7191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0410 loss: 1.0410 2022/07/30 17:04:36 - mmengine - INFO - Epoch(train) [177][1320/3757] lr: 1.2180e-05 eta: 1:35:00 time: 0.4147 data_time: 0.0218 memory: 17006 grad_norm: 12.7179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4057 loss: 1.4057 2022/07/30 17:04:44 - mmengine - INFO - Epoch(train) [177][1340/3757] lr: 1.2180e-05 eta: 1:34:51 time: 0.4062 data_time: 0.0208 memory: 17006 grad_norm: 12.2121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0747 loss: 1.0747 2022/07/30 17:04:52 - mmengine - INFO - Epoch(train) [177][1360/3757] lr: 1.2180e-05 eta: 1:34:43 time: 0.4086 data_time: 0.0223 memory: 17006 grad_norm: 12.6526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2295 loss: 1.2295 2022/07/30 17:05:02 - mmengine - INFO - Epoch(train) [177][1380/3757] lr: 1.2180e-05 eta: 1:34:35 time: 0.4819 data_time: 0.0230 memory: 17006 grad_norm: 12.5323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9620 loss: 0.9620 2022/07/30 17:05:10 - mmengine - INFO - Epoch(train) [177][1400/3757] lr: 1.2180e-05 eta: 1:34:27 time: 0.4076 data_time: 0.0217 memory: 17006 grad_norm: 12.6118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2378 loss: 1.2378 2022/07/30 17:05:19 - mmengine - INFO - Epoch(train) [177][1420/3757] lr: 1.2180e-05 eta: 1:34:18 time: 0.4234 data_time: 0.0247 memory: 17006 grad_norm: 12.5998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8723 loss: 0.8723 2022/07/30 17:05:27 - mmengine - INFO - Epoch(train) [177][1440/3757] lr: 1.2180e-05 eta: 1:34:10 time: 0.4084 data_time: 0.0219 memory: 17006 grad_norm: 12.0911 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0007 loss: 1.0007 2022/07/30 17:05:36 - mmengine - INFO - Epoch(train) [177][1460/3757] lr: 1.2180e-05 eta: 1:34:02 time: 0.4276 data_time: 0.0232 memory: 17006 grad_norm: 11.8235 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0182 loss: 1.0182 2022/07/30 17:05:44 - mmengine - INFO - Epoch(train) [177][1480/3757] lr: 1.2180e-05 eta: 1:33:53 time: 0.4077 data_time: 0.0204 memory: 17006 grad_norm: 12.0765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/07/30 17:05:52 - mmengine - INFO - Epoch(train) [177][1500/3757] lr: 1.2180e-05 eta: 1:33:45 time: 0.4074 data_time: 0.0204 memory: 17006 grad_norm: 11.4382 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9757 loss: 0.9757 2022/07/30 17:06:00 - mmengine - INFO - Epoch(train) [177][1520/3757] lr: 1.2180e-05 eta: 1:33:37 time: 0.4103 data_time: 0.0223 memory: 17006 grad_norm: 12.4022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2162 loss: 1.2162 2022/07/30 17:06:09 - mmengine - INFO - Epoch(train) [177][1540/3757] lr: 1.2180e-05 eta: 1:33:28 time: 0.4372 data_time: 0.0222 memory: 17006 grad_norm: 12.3642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5785 loss: 1.5785 2022/07/30 17:06:17 - mmengine - INFO - Epoch(train) [177][1560/3757] lr: 1.2180e-05 eta: 1:33:20 time: 0.4077 data_time: 0.0210 memory: 17006 grad_norm: 12.4167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1807 loss: 1.1807 2022/07/30 17:06:26 - mmengine - INFO - Epoch(train) [177][1580/3757] lr: 1.2180e-05 eta: 1:33:12 time: 0.4391 data_time: 0.0229 memory: 17006 grad_norm: 12.1028 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8331 loss: 0.8331 2022/07/30 17:06:34 - mmengine - INFO - Epoch(train) [177][1600/3757] lr: 1.2180e-05 eta: 1:33:03 time: 0.4087 data_time: 0.0211 memory: 17006 grad_norm: 12.3223 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8830 loss: 0.8830 2022/07/30 17:06:42 - mmengine - INFO - Epoch(train) [177][1620/3757] lr: 1.2180e-05 eta: 1:32:55 time: 0.4070 data_time: 0.0204 memory: 17006 grad_norm: 12.4010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2731 loss: 1.2731 2022/07/30 17:06:51 - mmengine - INFO - Epoch(train) [177][1640/3757] lr: 1.2180e-05 eta: 1:32:47 time: 0.4125 data_time: 0.0225 memory: 17006 grad_norm: 12.2375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0492 loss: 1.0492 2022/07/30 17:06:59 - mmengine - INFO - Epoch(train) [177][1660/3757] lr: 1.2180e-05 eta: 1:32:38 time: 0.4082 data_time: 0.0209 memory: 17006 grad_norm: 12.4674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9697 loss: 0.9697 2022/07/30 17:07:07 - mmengine - INFO - Epoch(train) [177][1680/3757] lr: 1.2180e-05 eta: 1:32:30 time: 0.4174 data_time: 0.0226 memory: 17006 grad_norm: 12.0705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2196 loss: 1.2196 2022/07/30 17:07:15 - mmengine - INFO - Epoch(train) [177][1700/3757] lr: 1.2180e-05 eta: 1:32:22 time: 0.4088 data_time: 0.0227 memory: 17006 grad_norm: 12.1405 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3375 loss: 1.3375 2022/07/30 17:07:24 - mmengine - INFO - Epoch(train) [177][1720/3757] lr: 1.2180e-05 eta: 1:32:13 time: 0.4073 data_time: 0.0208 memory: 17006 grad_norm: 12.6952 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3201 loss: 1.3201 2022/07/30 17:07:32 - mmengine - INFO - Epoch(train) [177][1740/3757] lr: 1.2180e-05 eta: 1:32:05 time: 0.4154 data_time: 0.0212 memory: 17006 grad_norm: 12.5536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3248 loss: 1.3248 2022/07/30 17:07:40 - mmengine - INFO - Epoch(train) [177][1760/3757] lr: 1.2180e-05 eta: 1:31:57 time: 0.4109 data_time: 0.0221 memory: 17006 grad_norm: 12.2936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8533 loss: 0.8533 2022/07/30 17:07:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:07:49 - mmengine - INFO - Epoch(train) [177][1780/3757] lr: 1.2180e-05 eta: 1:31:49 time: 0.4249 data_time: 0.0230 memory: 17006 grad_norm: 11.8124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8682 loss: 0.8682 2022/07/30 17:07:57 - mmengine - INFO - Epoch(train) [177][1800/3757] lr: 1.2180e-05 eta: 1:31:40 time: 0.4118 data_time: 0.0212 memory: 17006 grad_norm: 12.1572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2309 loss: 1.2309 2022/07/30 17:08:05 - mmengine - INFO - Epoch(train) [177][1820/3757] lr: 1.2180e-05 eta: 1:31:32 time: 0.4206 data_time: 0.0226 memory: 17006 grad_norm: 12.7411 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9980 loss: 0.9980 2022/07/30 17:08:14 - mmengine - INFO - Epoch(train) [177][1840/3757] lr: 1.2180e-05 eta: 1:31:24 time: 0.4079 data_time: 0.0212 memory: 17006 grad_norm: 13.0536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9931 loss: 0.9931 2022/07/30 17:08:22 - mmengine - INFO - Epoch(train) [177][1860/3757] lr: 1.2180e-05 eta: 1:31:15 time: 0.4086 data_time: 0.0210 memory: 17006 grad_norm: 12.1460 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0008 loss: 1.0008 2022/07/30 17:08:30 - mmengine - INFO - Epoch(train) [177][1880/3757] lr: 1.2180e-05 eta: 1:31:07 time: 0.4250 data_time: 0.0242 memory: 17006 grad_norm: 12.3369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2658 loss: 1.2658 2022/07/30 17:08:38 - mmengine - INFO - Epoch(train) [177][1900/3757] lr: 1.2180e-05 eta: 1:30:59 time: 0.4082 data_time: 0.0209 memory: 17006 grad_norm: 12.1253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9739 loss: 0.9739 2022/07/30 17:08:47 - mmengine - INFO - Epoch(train) [177][1920/3757] lr: 1.2180e-05 eta: 1:30:50 time: 0.4359 data_time: 0.0233 memory: 17006 grad_norm: 12.4375 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/07/30 17:08:55 - mmengine - INFO - Epoch(train) [177][1940/3757] lr: 1.2180e-05 eta: 1:30:42 time: 0.4069 data_time: 0.0207 memory: 17006 grad_norm: 12.3677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/07/30 17:09:04 - mmengine - INFO - Epoch(train) [177][1960/3757] lr: 1.2180e-05 eta: 1:30:34 time: 0.4114 data_time: 0.0228 memory: 17006 grad_norm: 12.1520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9597 loss: 0.9597 2022/07/30 17:09:12 - mmengine - INFO - Epoch(train) [177][1980/3757] lr: 1.2180e-05 eta: 1:30:25 time: 0.4272 data_time: 0.0233 memory: 17006 grad_norm: 12.1347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1877 loss: 1.1877 2022/07/30 17:09:20 - mmengine - INFO - Epoch(train) [177][2000/3757] lr: 1.2180e-05 eta: 1:30:17 time: 0.4081 data_time: 0.0217 memory: 17006 grad_norm: 12.3021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0212 loss: 1.0212 2022/07/30 17:09:29 - mmengine - INFO - Epoch(train) [177][2020/3757] lr: 1.2180e-05 eta: 1:30:09 time: 0.4360 data_time: 0.0255 memory: 17006 grad_norm: 12.1213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0893 loss: 1.0893 2022/07/30 17:09:37 - mmengine - INFO - Epoch(train) [177][2040/3757] lr: 1.2180e-05 eta: 1:30:00 time: 0.4095 data_time: 0.0224 memory: 17006 grad_norm: 12.6773 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8282 loss: 0.8282 2022/07/30 17:09:46 - mmengine - INFO - Epoch(train) [177][2060/3757] lr: 1.2180e-05 eta: 1:29:52 time: 0.4140 data_time: 0.0220 memory: 17006 grad_norm: 11.8469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0764 loss: 1.0764 2022/07/30 17:09:54 - mmengine - INFO - Epoch(train) [177][2080/3757] lr: 1.2180e-05 eta: 1:29:44 time: 0.4086 data_time: 0.0217 memory: 17006 grad_norm: 12.1876 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1846 loss: 1.1846 2022/07/30 17:10:02 - mmengine - INFO - Epoch(train) [177][2100/3757] lr: 1.2180e-05 eta: 1:29:35 time: 0.4083 data_time: 0.0207 memory: 17006 grad_norm: 12.1355 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0901 loss: 1.0901 2022/07/30 17:10:10 - mmengine - INFO - Epoch(train) [177][2120/3757] lr: 1.2180e-05 eta: 1:29:27 time: 0.4108 data_time: 0.0210 memory: 17006 grad_norm: 11.7188 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1479 loss: 1.1479 2022/07/30 17:10:19 - mmengine - INFO - Epoch(train) [177][2140/3757] lr: 1.2180e-05 eta: 1:29:19 time: 0.4084 data_time: 0.0212 memory: 17006 grad_norm: 11.9220 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1524 loss: 1.1524 2022/07/30 17:10:27 - mmengine - INFO - Epoch(train) [177][2160/3757] lr: 1.2180e-05 eta: 1:29:11 time: 0.4283 data_time: 0.0232 memory: 17006 grad_norm: 12.5444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1401 loss: 1.1401 2022/07/30 17:10:35 - mmengine - INFO - Epoch(train) [177][2180/3757] lr: 1.2180e-05 eta: 1:29:02 time: 0.4063 data_time: 0.0212 memory: 17006 grad_norm: 11.8420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0273 loss: 1.0273 2022/07/30 17:10:44 - mmengine - INFO - Epoch(train) [177][2200/3757] lr: 1.2180e-05 eta: 1:28:54 time: 0.4094 data_time: 0.0228 memory: 17006 grad_norm: 12.0424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0450 loss: 1.0450 2022/07/30 17:10:52 - mmengine - INFO - Epoch(train) [177][2220/3757] lr: 1.2180e-05 eta: 1:28:46 time: 0.4207 data_time: 0.0221 memory: 17006 grad_norm: 11.9806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4259 loss: 1.4259 2022/07/30 17:11:00 - mmengine - INFO - Epoch(train) [177][2240/3757] lr: 1.2180e-05 eta: 1:28:37 time: 0.4086 data_time: 0.0217 memory: 17006 grad_norm: 12.2070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9737 loss: 0.9737 2022/07/30 17:11:09 - mmengine - INFO - Epoch(train) [177][2260/3757] lr: 1.2180e-05 eta: 1:28:29 time: 0.4196 data_time: 0.0238 memory: 17006 grad_norm: 13.1737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2435 loss: 1.2435 2022/07/30 17:11:17 - mmengine - INFO - Epoch(train) [177][2280/3757] lr: 1.2180e-05 eta: 1:28:21 time: 0.4086 data_time: 0.0213 memory: 17006 grad_norm: 12.5720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0695 loss: 1.0695 2022/07/30 17:11:25 - mmengine - INFO - Epoch(train) [177][2300/3757] lr: 1.2180e-05 eta: 1:28:12 time: 0.4220 data_time: 0.0231 memory: 17006 grad_norm: 12.5791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8951 loss: 0.8951 2022/07/30 17:11:34 - mmengine - INFO - Epoch(train) [177][2320/3757] lr: 1.2180e-05 eta: 1:28:04 time: 0.4075 data_time: 0.0205 memory: 17006 grad_norm: 12.4366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0423 loss: 1.0423 2022/07/30 17:11:42 - mmengine - INFO - Epoch(train) [177][2340/3757] lr: 1.2180e-05 eta: 1:27:56 time: 0.4138 data_time: 0.0229 memory: 17006 grad_norm: 12.3943 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0691 loss: 1.0691 2022/07/30 17:11:50 - mmengine - INFO - Epoch(train) [177][2360/3757] lr: 1.2180e-05 eta: 1:27:47 time: 0.4098 data_time: 0.0206 memory: 17006 grad_norm: 12.6272 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2445 loss: 1.2445 2022/07/30 17:11:59 - mmengine - INFO - Epoch(train) [177][2380/3757] lr: 1.2180e-05 eta: 1:27:39 time: 0.4208 data_time: 0.0220 memory: 17006 grad_norm: 11.8246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9625 loss: 0.9625 2022/07/30 17:12:07 - mmengine - INFO - Epoch(train) [177][2400/3757] lr: 1.2180e-05 eta: 1:27:31 time: 0.4100 data_time: 0.0212 memory: 17006 grad_norm: 13.0887 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0757 loss: 1.0757 2022/07/30 17:12:15 - mmengine - INFO - Epoch(train) [177][2420/3757] lr: 1.2180e-05 eta: 1:27:22 time: 0.4161 data_time: 0.0211 memory: 17006 grad_norm: 11.8260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1358 loss: 1.1358 2022/07/30 17:12:23 - mmengine - INFO - Epoch(train) [177][2440/3757] lr: 1.2180e-05 eta: 1:27:14 time: 0.4069 data_time: 0.0221 memory: 17006 grad_norm: 11.9815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8419 loss: 0.8419 2022/07/30 17:12:31 - mmengine - INFO - Epoch(train) [177][2460/3757] lr: 1.2180e-05 eta: 1:27:06 time: 0.4082 data_time: 0.0210 memory: 17006 grad_norm: 12.5458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1595 loss: 1.1595 2022/07/30 17:12:40 - mmengine - INFO - Epoch(train) [177][2480/3757] lr: 1.2180e-05 eta: 1:26:57 time: 0.4236 data_time: 0.0230 memory: 17006 grad_norm: 12.4387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9739 loss: 0.9739 2022/07/30 17:12:48 - mmengine - INFO - Epoch(train) [177][2500/3757] lr: 1.2180e-05 eta: 1:26:49 time: 0.4080 data_time: 0.0214 memory: 17006 grad_norm: 12.6801 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1125 loss: 1.1125 2022/07/30 17:12:56 - mmengine - INFO - Epoch(train) [177][2520/3757] lr: 1.2180e-05 eta: 1:26:41 time: 0.4153 data_time: 0.0210 memory: 17006 grad_norm: 11.6989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9718 loss: 0.9718 2022/07/30 17:13:05 - mmengine - INFO - Epoch(train) [177][2540/3757] lr: 1.2180e-05 eta: 1:26:32 time: 0.4109 data_time: 0.0218 memory: 17006 grad_norm: 12.2008 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9236 loss: 0.9236 2022/07/30 17:13:13 - mmengine - INFO - Epoch(train) [177][2560/3757] lr: 1.2180e-05 eta: 1:26:24 time: 0.4080 data_time: 0.0209 memory: 17006 grad_norm: 12.2396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1419 loss: 1.1419 2022/07/30 17:13:21 - mmengine - INFO - Epoch(train) [177][2580/3757] lr: 1.2180e-05 eta: 1:26:16 time: 0.4175 data_time: 0.0229 memory: 17006 grad_norm: 12.3521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0767 loss: 1.0767 2022/07/30 17:13:30 - mmengine - INFO - Epoch(train) [177][2600/3757] lr: 1.2180e-05 eta: 1:26:07 time: 0.4092 data_time: 0.0211 memory: 17006 grad_norm: 12.2880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0374 loss: 1.0374 2022/07/30 17:13:38 - mmengine - INFO - Epoch(train) [177][2620/3757] lr: 1.2180e-05 eta: 1:25:59 time: 0.4298 data_time: 0.0247 memory: 17006 grad_norm: 12.5744 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0984 loss: 1.0984 2022/07/30 17:13:46 - mmengine - INFO - Epoch(train) [177][2640/3757] lr: 1.2180e-05 eta: 1:25:51 time: 0.4096 data_time: 0.0214 memory: 17006 grad_norm: 12.2465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1866 loss: 1.1866 2022/07/30 17:13:55 - mmengine - INFO - Epoch(train) [177][2660/3757] lr: 1.2180e-05 eta: 1:25:43 time: 0.4131 data_time: 0.0194 memory: 17006 grad_norm: 11.8177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5608 loss: 1.5608 2022/07/30 17:14:03 - mmengine - INFO - Epoch(train) [177][2680/3757] lr: 1.2180e-05 eta: 1:25:34 time: 0.4347 data_time: 0.0215 memory: 17006 grad_norm: 12.0839 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.8387 loss: 0.8387 2022/07/30 17:14:12 - mmengine - INFO - Epoch(train) [177][2700/3757] lr: 1.2180e-05 eta: 1:25:26 time: 0.4135 data_time: 0.0219 memory: 17006 grad_norm: 12.1013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6938 loss: 0.6938 2022/07/30 17:14:20 - mmengine - INFO - Epoch(train) [177][2720/3757] lr: 1.2180e-05 eta: 1:25:18 time: 0.4122 data_time: 0.0217 memory: 17006 grad_norm: 13.0562 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0792 loss: 1.0792 2022/07/30 17:14:28 - mmengine - INFO - Epoch(train) [177][2740/3757] lr: 1.2180e-05 eta: 1:25:09 time: 0.4217 data_time: 0.0217 memory: 17006 grad_norm: 12.1576 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2521 loss: 1.2521 2022/07/30 17:14:37 - mmengine - INFO - Epoch(train) [177][2760/3757] lr: 1.2180e-05 eta: 1:25:01 time: 0.4132 data_time: 0.0215 memory: 17006 grad_norm: 12.0766 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1869 loss: 1.1869 2022/07/30 17:14:40 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:14:46 - mmengine - INFO - Epoch(train) [177][2780/3757] lr: 1.2180e-05 eta: 1:24:53 time: 0.4363 data_time: 0.0205 memory: 17006 grad_norm: 11.9861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1985 loss: 1.1985 2022/07/30 17:14:54 - mmengine - INFO - Epoch(train) [177][2800/3757] lr: 1.2180e-05 eta: 1:24:44 time: 0.4093 data_time: 0.0203 memory: 17006 grad_norm: 11.8268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0053 loss: 1.0053 2022/07/30 17:15:02 - mmengine - INFO - Epoch(train) [177][2820/3757] lr: 1.2180e-05 eta: 1:24:36 time: 0.4084 data_time: 0.0223 memory: 17006 grad_norm: 12.2544 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9777 loss: 0.9777 2022/07/30 17:15:11 - mmengine - INFO - Epoch(train) [177][2840/3757] lr: 1.2180e-05 eta: 1:24:28 time: 0.4291 data_time: 0.0224 memory: 17006 grad_norm: 12.4386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9583 loss: 0.9583 2022/07/30 17:15:19 - mmengine - INFO - Epoch(train) [177][2860/3757] lr: 1.2180e-05 eta: 1:24:19 time: 0.4063 data_time: 0.0215 memory: 17006 grad_norm: 11.8072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/07/30 17:15:28 - mmengine - INFO - Epoch(train) [177][2880/3757] lr: 1.2180e-05 eta: 1:24:11 time: 0.4382 data_time: 0.0225 memory: 17006 grad_norm: 12.5272 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9788 loss: 0.9788 2022/07/30 17:15:36 - mmengine - INFO - Epoch(train) [177][2900/3757] lr: 1.2180e-05 eta: 1:24:03 time: 0.4073 data_time: 0.0218 memory: 17006 grad_norm: 12.3130 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0967 loss: 1.0967 2022/07/30 17:15:44 - mmengine - INFO - Epoch(train) [177][2920/3757] lr: 1.2180e-05 eta: 1:23:54 time: 0.4069 data_time: 0.0212 memory: 17006 grad_norm: 11.9131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0569 loss: 1.0569 2022/07/30 17:15:52 - mmengine - INFO - Epoch(train) [177][2940/3757] lr: 1.2180e-05 eta: 1:23:46 time: 0.4072 data_time: 0.0217 memory: 17006 grad_norm: 12.4187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1431 loss: 1.1431 2022/07/30 17:16:00 - mmengine - INFO - Epoch(train) [177][2960/3757] lr: 1.2180e-05 eta: 1:23:38 time: 0.4149 data_time: 0.0211 memory: 17006 grad_norm: 11.8260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0034 loss: 1.0034 2022/07/30 17:16:09 - mmengine - INFO - Epoch(train) [177][2980/3757] lr: 1.2180e-05 eta: 1:23:29 time: 0.4103 data_time: 0.0210 memory: 17006 grad_norm: 12.7629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1289 loss: 1.1289 2022/07/30 17:16:17 - mmengine - INFO - Epoch(train) [177][3000/3757] lr: 1.2180e-05 eta: 1:23:21 time: 0.4092 data_time: 0.0212 memory: 17006 grad_norm: 11.3943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8759 loss: 0.8759 2022/07/30 17:16:25 - mmengine - INFO - Epoch(train) [177][3020/3757] lr: 1.2180e-05 eta: 1:23:13 time: 0.4154 data_time: 0.0204 memory: 17006 grad_norm: 12.7367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2095 loss: 1.2095 2022/07/30 17:16:33 - mmengine - INFO - Epoch(train) [177][3040/3757] lr: 1.2180e-05 eta: 1:23:05 time: 0.4084 data_time: 0.0206 memory: 17006 grad_norm: 12.7524 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/07/30 17:16:42 - mmengine - INFO - Epoch(train) [177][3060/3757] lr: 1.2180e-05 eta: 1:22:56 time: 0.4089 data_time: 0.0213 memory: 17006 grad_norm: 11.6510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2563 loss: 1.2563 2022/07/30 17:16:50 - mmengine - INFO - Epoch(train) [177][3080/3757] lr: 1.2180e-05 eta: 1:22:48 time: 0.4121 data_time: 0.0214 memory: 17006 grad_norm: 12.0686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0264 loss: 1.0264 2022/07/30 17:16:58 - mmengine - INFO - Epoch(train) [177][3100/3757] lr: 1.2180e-05 eta: 1:22:40 time: 0.4095 data_time: 0.0220 memory: 17006 grad_norm: 12.3016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1083 loss: 1.1083 2022/07/30 17:17:07 - mmengine - INFO - Epoch(train) [177][3120/3757] lr: 1.2180e-05 eta: 1:22:31 time: 0.4273 data_time: 0.0220 memory: 17006 grad_norm: 12.1744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1515 loss: 1.1515 2022/07/30 17:17:15 - mmengine - INFO - Epoch(train) [177][3140/3757] lr: 1.2180e-05 eta: 1:22:23 time: 0.4081 data_time: 0.0212 memory: 17006 grad_norm: 11.8817 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0219 loss: 1.0219 2022/07/30 17:17:23 - mmengine - INFO - Epoch(train) [177][3160/3757] lr: 1.2180e-05 eta: 1:22:15 time: 0.4071 data_time: 0.0212 memory: 17006 grad_norm: 11.7155 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8805 loss: 0.8805 2022/07/30 17:17:32 - mmengine - INFO - Epoch(train) [177][3180/3757] lr: 1.2180e-05 eta: 1:22:06 time: 0.4273 data_time: 0.0210 memory: 17006 grad_norm: 12.1641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3161 loss: 1.3161 2022/07/30 17:17:40 - mmengine - INFO - Epoch(train) [177][3200/3757] lr: 1.2180e-05 eta: 1:21:58 time: 0.4108 data_time: 0.0226 memory: 17006 grad_norm: 12.3372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/07/30 17:17:48 - mmengine - INFO - Epoch(train) [177][3220/3757] lr: 1.2180e-05 eta: 1:21:50 time: 0.4097 data_time: 0.0220 memory: 17006 grad_norm: 11.8206 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1053 loss: 1.1053 2022/07/30 17:17:56 - mmengine - INFO - Epoch(train) [177][3240/3757] lr: 1.2180e-05 eta: 1:21:41 time: 0.4119 data_time: 0.0217 memory: 17006 grad_norm: 12.4167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3376 loss: 1.3376 2022/07/30 17:18:04 - mmengine - INFO - Epoch(train) [177][3260/3757] lr: 1.2180e-05 eta: 1:21:33 time: 0.4060 data_time: 0.0217 memory: 17006 grad_norm: 12.0096 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1852 loss: 1.1852 2022/07/30 17:18:13 - mmengine - INFO - Epoch(train) [177][3280/3757] lr: 1.2180e-05 eta: 1:21:25 time: 0.4253 data_time: 0.0206 memory: 17006 grad_norm: 12.3859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2061 loss: 1.2061 2022/07/30 17:18:21 - mmengine - INFO - Epoch(train) [177][3300/3757] lr: 1.2180e-05 eta: 1:21:16 time: 0.4107 data_time: 0.0220 memory: 17006 grad_norm: 12.6911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0692 loss: 1.0692 2022/07/30 17:18:30 - mmengine - INFO - Epoch(train) [177][3320/3757] lr: 1.2180e-05 eta: 1:21:08 time: 0.4212 data_time: 0.0229 memory: 17006 grad_norm: 12.1575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1049 loss: 1.1049 2022/07/30 17:18:38 - mmengine - INFO - Epoch(train) [177][3340/3757] lr: 1.2180e-05 eta: 1:21:00 time: 0.4124 data_time: 0.0241 memory: 17006 grad_norm: 12.7298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9749 loss: 0.9749 2022/07/30 17:18:47 - mmengine - INFO - Epoch(train) [177][3360/3757] lr: 1.2180e-05 eta: 1:20:51 time: 0.4261 data_time: 0.0236 memory: 17006 grad_norm: 12.6417 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1328 loss: 1.1328 2022/07/30 17:18:55 - mmengine - INFO - Epoch(train) [177][3380/3757] lr: 1.2180e-05 eta: 1:20:43 time: 0.4062 data_time: 0.0213 memory: 17006 grad_norm: 12.7087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1633 loss: 1.1633 2022/07/30 17:19:03 - mmengine - INFO - Epoch(train) [177][3400/3757] lr: 1.2180e-05 eta: 1:20:35 time: 0.4134 data_time: 0.0223 memory: 17006 grad_norm: 12.7626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0916 loss: 1.0916 2022/07/30 17:19:11 - mmengine - INFO - Epoch(train) [177][3420/3757] lr: 1.2180e-05 eta: 1:20:26 time: 0.4112 data_time: 0.0219 memory: 17006 grad_norm: 12.2737 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3488 loss: 1.3488 2022/07/30 17:19:20 - mmengine - INFO - Epoch(train) [177][3440/3757] lr: 1.2180e-05 eta: 1:20:18 time: 0.4205 data_time: 0.0220 memory: 17006 grad_norm: 11.6000 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0712 loss: 1.0712 2022/07/30 17:19:28 - mmengine - INFO - Epoch(train) [177][3460/3757] lr: 1.2180e-05 eta: 1:20:10 time: 0.4174 data_time: 0.0211 memory: 17006 grad_norm: 12.2187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0931 loss: 1.0931 2022/07/30 17:19:36 - mmengine - INFO - Epoch(train) [177][3480/3757] lr: 1.2180e-05 eta: 1:20:02 time: 0.4108 data_time: 0.0221 memory: 17006 grad_norm: 12.8639 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/07/30 17:19:45 - mmengine - INFO - Epoch(train) [177][3500/3757] lr: 1.2180e-05 eta: 1:19:53 time: 0.4084 data_time: 0.0216 memory: 17006 grad_norm: 12.0181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/07/30 17:19:53 - mmengine - INFO - Epoch(train) [177][3520/3757] lr: 1.2180e-05 eta: 1:19:45 time: 0.4172 data_time: 0.0217 memory: 17006 grad_norm: 12.4402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1692 loss: 1.1692 2022/07/30 17:20:01 - mmengine - INFO - Epoch(train) [177][3540/3757] lr: 1.2180e-05 eta: 1:19:37 time: 0.4096 data_time: 0.0225 memory: 17006 grad_norm: 12.1228 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1202 loss: 1.1202 2022/07/30 17:20:10 - mmengine - INFO - Epoch(train) [177][3560/3757] lr: 1.2180e-05 eta: 1:19:28 time: 0.4182 data_time: 0.0231 memory: 17006 grad_norm: 12.5866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2093 loss: 1.2093 2022/07/30 17:20:18 - mmengine - INFO - Epoch(train) [177][3580/3757] lr: 1.2180e-05 eta: 1:19:20 time: 0.4138 data_time: 0.0223 memory: 17006 grad_norm: 12.0074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/07/30 17:20:26 - mmengine - INFO - Epoch(train) [177][3600/3757] lr: 1.2180e-05 eta: 1:19:12 time: 0.4092 data_time: 0.0222 memory: 17006 grad_norm: 12.0425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0679 loss: 1.0679 2022/07/30 17:20:34 - mmengine - INFO - Epoch(train) [177][3620/3757] lr: 1.2180e-05 eta: 1:19:03 time: 0.4066 data_time: 0.0204 memory: 17006 grad_norm: 11.8918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8795 loss: 0.8795 2022/07/30 17:20:43 - mmengine - INFO - Epoch(train) [177][3640/3757] lr: 1.2180e-05 eta: 1:18:55 time: 0.4545 data_time: 0.0214 memory: 17006 grad_norm: 12.6142 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1980 loss: 1.1980 2022/07/30 17:20:52 - mmengine - INFO - Epoch(train) [177][3660/3757] lr: 1.2180e-05 eta: 1:18:47 time: 0.4093 data_time: 0.0214 memory: 17006 grad_norm: 11.5895 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9212 loss: 0.9212 2022/07/30 17:21:01 - mmengine - INFO - Epoch(train) [177][3680/3757] lr: 1.2180e-05 eta: 1:18:38 time: 0.4452 data_time: 0.0227 memory: 17006 grad_norm: 12.7191 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1385 loss: 1.1385 2022/07/30 17:21:09 - mmengine - INFO - Epoch(train) [177][3700/3757] lr: 1.2180e-05 eta: 1:18:30 time: 0.4092 data_time: 0.0220 memory: 17006 grad_norm: 12.2597 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0748 loss: 1.0748 2022/07/30 17:21:17 - mmengine - INFO - Epoch(train) [177][3720/3757] lr: 1.2180e-05 eta: 1:18:22 time: 0.4200 data_time: 0.0225 memory: 17006 grad_norm: 12.0849 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0760 loss: 1.0760 2022/07/30 17:21:25 - mmengine - INFO - Epoch(train) [177][3740/3757] lr: 1.2180e-05 eta: 1:18:13 time: 0.4089 data_time: 0.0199 memory: 17006 grad_norm: 12.4196 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4170 loss: 1.4170 2022/07/30 17:21:32 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:21:32 - mmengine - INFO - Epoch(train) [177][3757/3757] lr: 1.2180e-05 eta: 1:18:13 time: 0.3984 data_time: 0.0182 memory: 17006 grad_norm: 12.7552 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1883 loss: 1.1883 2022/07/30 17:21:32 - mmengine - INFO - Saving checkpoint at 177 epochs 2022/07/30 17:21:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:21:46 - mmengine - INFO - Epoch(train) [178][20/3757] lr: 6.8523e-06 eta: 1:17:58 time: 0.5302 data_time: 0.1339 memory: 17006 grad_norm: 12.3768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8860 loss: 0.8860 2022/07/30 17:21:54 - mmengine - INFO - Epoch(train) [178][40/3757] lr: 6.8523e-06 eta: 1:17:49 time: 0.4091 data_time: 0.0228 memory: 17006 grad_norm: 12.4663 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0965 loss: 1.0965 2022/07/30 17:22:03 - mmengine - INFO - Epoch(train) [178][60/3757] lr: 6.8523e-06 eta: 1:17:41 time: 0.4063 data_time: 0.0185 memory: 17006 grad_norm: 12.3544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0350 loss: 1.0350 2022/07/30 17:22:11 - mmengine - INFO - Epoch(train) [178][80/3757] lr: 6.8523e-06 eta: 1:17:33 time: 0.4383 data_time: 0.0226 memory: 17006 grad_norm: 12.2282 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1486 loss: 1.1486 2022/07/30 17:22:20 - mmengine - INFO - Epoch(train) [178][100/3757] lr: 6.8523e-06 eta: 1:17:25 time: 0.4073 data_time: 0.0187 memory: 17006 grad_norm: 12.5162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8875 loss: 0.8875 2022/07/30 17:22:28 - mmengine - INFO - Epoch(train) [178][120/3757] lr: 6.8523e-06 eta: 1:17:16 time: 0.4312 data_time: 0.0235 memory: 17006 grad_norm: 12.0585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0330 loss: 1.0330 2022/07/30 17:22:36 - mmengine - INFO - Epoch(train) [178][140/3757] lr: 6.8523e-06 eta: 1:17:08 time: 0.4066 data_time: 0.0186 memory: 17006 grad_norm: 12.6527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/07/30 17:22:45 - mmengine - INFO - Epoch(train) [178][160/3757] lr: 6.8523e-06 eta: 1:17:00 time: 0.4071 data_time: 0.0215 memory: 17006 grad_norm: 12.2547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1279 loss: 1.1279 2022/07/30 17:22:53 - mmengine - INFO - Epoch(train) [178][180/3757] lr: 6.8523e-06 eta: 1:16:51 time: 0.4427 data_time: 0.0190 memory: 17006 grad_norm: 12.2091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9683 loss: 0.9683 2022/07/30 17:23:02 - mmengine - INFO - Epoch(train) [178][200/3757] lr: 6.8523e-06 eta: 1:16:43 time: 0.4089 data_time: 0.0227 memory: 17006 grad_norm: 11.7100 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1456 loss: 1.1456 2022/07/30 17:23:10 - mmengine - INFO - Epoch(train) [178][220/3757] lr: 6.8523e-06 eta: 1:16:35 time: 0.4338 data_time: 0.0227 memory: 17006 grad_norm: 12.4800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1126 loss: 1.1126 2022/07/30 17:23:19 - mmengine - INFO - Epoch(train) [178][240/3757] lr: 6.8523e-06 eta: 1:16:26 time: 0.4070 data_time: 0.0218 memory: 17006 grad_norm: 11.9049 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/07/30 17:23:27 - mmengine - INFO - Epoch(train) [178][260/3757] lr: 6.8523e-06 eta: 1:16:18 time: 0.4302 data_time: 0.0198 memory: 17006 grad_norm: 12.7708 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2558 loss: 1.2558 2022/07/30 17:23:35 - mmengine - INFO - Epoch(train) [178][280/3757] lr: 6.8523e-06 eta: 1:16:10 time: 0.4069 data_time: 0.0216 memory: 17006 grad_norm: 12.1896 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0836 loss: 1.0836 2022/07/30 17:23:44 - mmengine - INFO - Epoch(train) [178][300/3757] lr: 6.8523e-06 eta: 1:16:01 time: 0.4093 data_time: 0.0183 memory: 17006 grad_norm: 12.5410 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9372 loss: 0.9372 2022/07/30 17:23:52 - mmengine - INFO - Epoch(train) [178][320/3757] lr: 6.8523e-06 eta: 1:15:53 time: 0.4306 data_time: 0.0230 memory: 17006 grad_norm: 12.6054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1723 loss: 1.1723 2022/07/30 17:24:00 - mmengine - INFO - Epoch(train) [178][340/3757] lr: 6.8523e-06 eta: 1:15:45 time: 0.4065 data_time: 0.0191 memory: 17006 grad_norm: 11.7737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0383 loss: 1.0383 2022/07/30 17:24:09 - mmengine - INFO - Epoch(train) [178][360/3757] lr: 6.8523e-06 eta: 1:15:36 time: 0.4332 data_time: 0.0233 memory: 17006 grad_norm: 12.5220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2331 loss: 1.2331 2022/07/30 17:24:17 - mmengine - INFO - Epoch(train) [178][380/3757] lr: 6.8523e-06 eta: 1:15:28 time: 0.4109 data_time: 0.0208 memory: 17006 grad_norm: 11.9719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0715 loss: 1.0715 2022/07/30 17:24:26 - mmengine - INFO - Epoch(train) [178][400/3757] lr: 6.8523e-06 eta: 1:15:20 time: 0.4176 data_time: 0.0211 memory: 17006 grad_norm: 12.1994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1065 loss: 1.1065 2022/07/30 17:24:34 - mmengine - INFO - Epoch(train) [178][420/3757] lr: 6.8523e-06 eta: 1:15:12 time: 0.4316 data_time: 0.0204 memory: 17006 grad_norm: 12.0907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1152 loss: 1.1152 2022/07/30 17:24:43 - mmengine - INFO - Epoch(train) [178][440/3757] lr: 6.8523e-06 eta: 1:15:03 time: 0.4111 data_time: 0.0218 memory: 17006 grad_norm: 12.1818 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9187 loss: 0.9187 2022/07/30 17:24:51 - mmengine - INFO - Epoch(train) [178][460/3757] lr: 6.8523e-06 eta: 1:14:55 time: 0.4251 data_time: 0.0224 memory: 17006 grad_norm: 12.8932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1954 loss: 1.1954 2022/07/30 17:25:00 - mmengine - INFO - Epoch(train) [178][480/3757] lr: 6.8523e-06 eta: 1:14:47 time: 0.4193 data_time: 0.0227 memory: 17006 grad_norm: 12.7742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9646 loss: 0.9646 2022/07/30 17:25:08 - mmengine - INFO - Epoch(train) [178][500/3757] lr: 6.8523e-06 eta: 1:14:38 time: 0.4424 data_time: 0.0212 memory: 17006 grad_norm: 12.1972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0049 loss: 1.0049 2022/07/30 17:25:17 - mmengine - INFO - Epoch(train) [178][520/3757] lr: 6.8523e-06 eta: 1:14:30 time: 0.4372 data_time: 0.0230 memory: 17006 grad_norm: 11.9796 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9661 loss: 0.9661 2022/07/30 17:25:25 - mmengine - INFO - Epoch(train) [178][540/3757] lr: 6.8523e-06 eta: 1:14:22 time: 0.4068 data_time: 0.0186 memory: 17006 grad_norm: 11.8102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1539 loss: 1.1539 2022/07/30 17:25:34 - mmengine - INFO - Epoch(train) [178][560/3757] lr: 6.8523e-06 eta: 1:14:13 time: 0.4221 data_time: 0.0229 memory: 17006 grad_norm: 11.3959 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8799 loss: 0.8799 2022/07/30 17:25:42 - mmengine - INFO - Epoch(train) [178][580/3757] lr: 6.8523e-06 eta: 1:14:05 time: 0.4084 data_time: 0.0194 memory: 17006 grad_norm: 12.0607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9661 loss: 0.9661 2022/07/30 17:25:50 - mmengine - INFO - Epoch(train) [178][600/3757] lr: 6.8523e-06 eta: 1:13:57 time: 0.4152 data_time: 0.0222 memory: 17006 grad_norm: 11.9662 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1793 loss: 1.1793 2022/07/30 17:25:59 - mmengine - INFO - Epoch(train) [178][620/3757] lr: 6.8523e-06 eta: 1:13:48 time: 0.4085 data_time: 0.0203 memory: 17006 grad_norm: 12.1144 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2653 loss: 1.2653 2022/07/30 17:26:07 - mmengine - INFO - Epoch(train) [178][640/3757] lr: 6.8523e-06 eta: 1:13:40 time: 0.4259 data_time: 0.0228 memory: 17006 grad_norm: 13.0698 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0930 loss: 1.0930 2022/07/30 17:26:15 - mmengine - INFO - Epoch(train) [178][660/3757] lr: 6.8523e-06 eta: 1:13:32 time: 0.4083 data_time: 0.0200 memory: 17006 grad_norm: 13.0120 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2467 loss: 1.2467 2022/07/30 17:26:24 - mmengine - INFO - Epoch(train) [178][680/3757] lr: 6.8523e-06 eta: 1:13:23 time: 0.4223 data_time: 0.0208 memory: 17006 grad_norm: 11.9507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0742 loss: 1.0742 2022/07/30 17:26:32 - mmengine - INFO - Epoch(train) [178][700/3757] lr: 6.8523e-06 eta: 1:13:15 time: 0.4184 data_time: 0.0188 memory: 17006 grad_norm: 11.9379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2087 loss: 1.2087 2022/07/30 17:26:41 - mmengine - INFO - Epoch(train) [178][720/3757] lr: 6.8523e-06 eta: 1:13:07 time: 0.4098 data_time: 0.0216 memory: 17006 grad_norm: 12.1630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1096 loss: 1.1096 2022/07/30 17:26:49 - mmengine - INFO - Epoch(train) [178][740/3757] lr: 6.8523e-06 eta: 1:12:59 time: 0.4160 data_time: 0.0203 memory: 17006 grad_norm: 11.6716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8697 loss: 0.8697 2022/07/30 17:26:57 - mmengine - INFO - Epoch(train) [178][760/3757] lr: 6.8523e-06 eta: 1:12:50 time: 0.4105 data_time: 0.0216 memory: 17006 grad_norm: 12.3740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/07/30 17:27:05 - mmengine - INFO - Epoch(train) [178][780/3757] lr: 6.8523e-06 eta: 1:12:42 time: 0.4051 data_time: 0.0178 memory: 17006 grad_norm: 12.2552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1194 loss: 1.1194 2022/07/30 17:27:14 - mmengine - INFO - Epoch(train) [178][800/3757] lr: 6.8523e-06 eta: 1:12:34 time: 0.4173 data_time: 0.0229 memory: 17006 grad_norm: 12.0340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8831 loss: 0.8831 2022/07/30 17:27:22 - mmengine - INFO - Epoch(train) [178][820/3757] lr: 6.8523e-06 eta: 1:12:25 time: 0.4065 data_time: 0.0183 memory: 17006 grad_norm: 12.3891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1102 loss: 1.1102 2022/07/30 17:27:30 - mmengine - INFO - Epoch(train) [178][840/3757] lr: 6.8523e-06 eta: 1:12:17 time: 0.4171 data_time: 0.0224 memory: 17006 grad_norm: 12.5009 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9698 loss: 0.9698 2022/07/30 17:27:39 - mmengine - INFO - Epoch(train) [178][860/3757] lr: 6.8523e-06 eta: 1:12:09 time: 0.4254 data_time: 0.0188 memory: 17006 grad_norm: 12.9786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0972 loss: 1.0972 2022/07/30 17:27:47 - mmengine - INFO - Epoch(train) [178][880/3757] lr: 6.8523e-06 eta: 1:12:00 time: 0.4215 data_time: 0.0232 memory: 17006 grad_norm: 12.3802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1104 loss: 1.1104 2022/07/30 17:27:55 - mmengine - INFO - Epoch(train) [178][900/3757] lr: 6.8523e-06 eta: 1:11:52 time: 0.4050 data_time: 0.0183 memory: 17006 grad_norm: 11.7394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8416 loss: 0.8416 2022/07/30 17:28:03 - mmengine - INFO - Epoch(train) [178][920/3757] lr: 6.8523e-06 eta: 1:11:44 time: 0.4084 data_time: 0.0214 memory: 17006 grad_norm: 12.2665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2795 loss: 1.2795 2022/07/30 17:28:12 - mmengine - INFO - Epoch(train) [178][940/3757] lr: 6.8523e-06 eta: 1:11:35 time: 0.4278 data_time: 0.0205 memory: 17006 grad_norm: 11.9939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1239 loss: 1.1239 2022/07/30 17:28:20 - mmengine - INFO - Epoch(train) [178][960/3757] lr: 6.8523e-06 eta: 1:11:27 time: 0.4101 data_time: 0.0220 memory: 17006 grad_norm: 12.3321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9967 loss: 0.9967 2022/07/30 17:28:29 - mmengine - INFO - Epoch(train) [178][980/3757] lr: 6.8523e-06 eta: 1:11:19 time: 0.4398 data_time: 0.0202 memory: 17006 grad_norm: 12.8468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3224 loss: 1.3224 2022/07/30 17:28:37 - mmengine - INFO - Epoch(train) [178][1000/3757] lr: 6.8523e-06 eta: 1:11:10 time: 0.4078 data_time: 0.0215 memory: 17006 grad_norm: 12.8454 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1606 loss: 1.1606 2022/07/30 17:28:42 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:28:45 - mmengine - INFO - Epoch(train) [178][1020/3757] lr: 6.8523e-06 eta: 1:11:02 time: 0.4065 data_time: 0.0194 memory: 17006 grad_norm: 12.0328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8305 loss: 0.8305 2022/07/30 17:28:54 - mmengine - INFO - Epoch(train) [178][1040/3757] lr: 6.8523e-06 eta: 1:10:54 time: 0.4424 data_time: 0.0237 memory: 17006 grad_norm: 12.8643 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/07/30 17:29:03 - mmengine - INFO - Epoch(train) [178][1060/3757] lr: 6.8523e-06 eta: 1:10:45 time: 0.4053 data_time: 0.0189 memory: 17006 grad_norm: 12.4409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1915 loss: 1.1915 2022/07/30 17:29:11 - mmengine - INFO - Epoch(train) [178][1080/3757] lr: 6.8523e-06 eta: 1:10:37 time: 0.4401 data_time: 0.0233 memory: 17006 grad_norm: 12.1194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8691 loss: 0.8691 2022/07/30 17:29:20 - mmengine - INFO - Epoch(train) [178][1100/3757] lr: 6.8523e-06 eta: 1:10:29 time: 0.4071 data_time: 0.0198 memory: 17006 grad_norm: 12.7545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2697 loss: 1.2697 2022/07/30 17:29:28 - mmengine - INFO - Epoch(train) [178][1120/3757] lr: 6.8523e-06 eta: 1:10:21 time: 0.4210 data_time: 0.0234 memory: 17006 grad_norm: 12.3765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3198 loss: 1.3198 2022/07/30 17:29:36 - mmengine - INFO - Epoch(train) [178][1140/3757] lr: 6.8523e-06 eta: 1:10:12 time: 0.4069 data_time: 0.0187 memory: 17006 grad_norm: 12.8226 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1846 loss: 1.1846 2022/07/30 17:29:44 - mmengine - INFO - Epoch(train) [178][1160/3757] lr: 6.8523e-06 eta: 1:10:04 time: 0.4083 data_time: 0.0214 memory: 17006 grad_norm: 12.6332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2196 loss: 1.2196 2022/07/30 17:29:53 - mmengine - INFO - Epoch(train) [178][1180/3757] lr: 6.8523e-06 eta: 1:09:56 time: 0.4506 data_time: 0.0219 memory: 17006 grad_norm: 12.2801 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1646 loss: 1.1646 2022/07/30 17:30:02 - mmengine - INFO - Epoch(train) [178][1200/3757] lr: 6.8523e-06 eta: 1:09:47 time: 0.4090 data_time: 0.0224 memory: 17006 grad_norm: 12.6996 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0932 loss: 1.0932 2022/07/30 17:30:11 - mmengine - INFO - Epoch(train) [178][1220/3757] lr: 6.8523e-06 eta: 1:09:39 time: 0.4556 data_time: 0.0230 memory: 17006 grad_norm: 11.8381 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2386 loss: 1.2386 2022/07/30 17:30:19 - mmengine - INFO - Epoch(train) [178][1240/3757] lr: 6.8523e-06 eta: 1:09:31 time: 0.4106 data_time: 0.0221 memory: 17006 grad_norm: 12.3691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/07/30 17:30:27 - mmengine - INFO - Epoch(train) [178][1260/3757] lr: 6.8523e-06 eta: 1:09:22 time: 0.4188 data_time: 0.0197 memory: 17006 grad_norm: 12.0932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1092 loss: 1.1092 2022/07/30 17:30:36 - mmengine - INFO - Epoch(train) [178][1280/3757] lr: 6.8523e-06 eta: 1:09:14 time: 0.4091 data_time: 0.0224 memory: 17006 grad_norm: 12.5874 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4397 loss: 1.4397 2022/07/30 17:30:44 - mmengine - INFO - Epoch(train) [178][1300/3757] lr: 6.8523e-06 eta: 1:09:06 time: 0.4090 data_time: 0.0188 memory: 17006 grad_norm: 12.6055 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2586 loss: 1.2586 2022/07/30 17:30:53 - mmengine - INFO - Epoch(train) [178][1320/3757] lr: 6.8523e-06 eta: 1:08:57 time: 0.4446 data_time: 0.0250 memory: 17006 grad_norm: 11.6808 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2613 loss: 1.2613 2022/07/30 17:31:01 - mmengine - INFO - Epoch(train) [178][1340/3757] lr: 6.8523e-06 eta: 1:08:49 time: 0.4073 data_time: 0.0193 memory: 17006 grad_norm: 13.2326 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0782 loss: 1.0782 2022/07/30 17:31:10 - mmengine - INFO - Epoch(train) [178][1360/3757] lr: 6.8523e-06 eta: 1:08:41 time: 0.4514 data_time: 0.0251 memory: 17006 grad_norm: 12.6820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/07/30 17:31:18 - mmengine - INFO - Epoch(train) [178][1380/3757] lr: 6.8523e-06 eta: 1:08:32 time: 0.4058 data_time: 0.0199 memory: 17006 grad_norm: 11.8094 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0665 loss: 1.0665 2022/07/30 17:31:26 - mmengine - INFO - Epoch(train) [178][1400/3757] lr: 6.8523e-06 eta: 1:08:24 time: 0.4137 data_time: 0.0223 memory: 17006 grad_norm: 12.3848 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/07/30 17:31:35 - mmengine - INFO - Epoch(train) [178][1420/3757] lr: 6.8523e-06 eta: 1:08:16 time: 0.4475 data_time: 0.0200 memory: 17006 grad_norm: 12.5800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2639 loss: 1.2639 2022/07/30 17:31:44 - mmengine - INFO - Epoch(train) [178][1440/3757] lr: 6.8523e-06 eta: 1:08:08 time: 0.4098 data_time: 0.0225 memory: 17006 grad_norm: 11.9920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0952 loss: 1.0952 2022/07/30 17:31:52 - mmengine - INFO - Epoch(train) [178][1460/3757] lr: 6.8523e-06 eta: 1:07:59 time: 0.4183 data_time: 0.0204 memory: 17006 grad_norm: 12.4283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0494 loss: 1.0494 2022/07/30 17:32:01 - mmengine - INFO - Epoch(train) [178][1480/3757] lr: 6.8523e-06 eta: 1:07:51 time: 0.4221 data_time: 0.0227 memory: 17006 grad_norm: 12.3143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9216 loss: 0.9216 2022/07/30 17:32:09 - mmengine - INFO - Epoch(train) [178][1500/3757] lr: 6.8523e-06 eta: 1:07:43 time: 0.4301 data_time: 0.0199 memory: 17006 grad_norm: 11.7329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0637 loss: 1.0637 2022/07/30 17:32:17 - mmengine - INFO - Epoch(train) [178][1520/3757] lr: 6.8523e-06 eta: 1:07:34 time: 0.4108 data_time: 0.0237 memory: 17006 grad_norm: 12.4439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4276 loss: 1.4276 2022/07/30 17:32:26 - mmengine - INFO - Epoch(train) [178][1540/3757] lr: 6.8523e-06 eta: 1:07:26 time: 0.4063 data_time: 0.0192 memory: 17006 grad_norm: 12.0184 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1570 loss: 1.1570 2022/07/30 17:32:34 - mmengine - INFO - Epoch(train) [178][1560/3757] lr: 6.8523e-06 eta: 1:07:18 time: 0.4385 data_time: 0.0271 memory: 17006 grad_norm: 12.7457 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.0023 loss: 1.0023 2022/07/30 17:32:43 - mmengine - INFO - Epoch(train) [178][1580/3757] lr: 6.8523e-06 eta: 1:07:09 time: 0.4240 data_time: 0.0195 memory: 17006 grad_norm: 11.8861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3516 loss: 1.3516 2022/07/30 17:32:52 - mmengine - INFO - Epoch(train) [178][1600/3757] lr: 6.8523e-06 eta: 1:07:01 time: 0.4387 data_time: 0.0233 memory: 17006 grad_norm: 12.0113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0445 loss: 1.0445 2022/07/30 17:33:00 - mmengine - INFO - Epoch(train) [178][1620/3757] lr: 6.8523e-06 eta: 1:06:53 time: 0.4081 data_time: 0.0195 memory: 17006 grad_norm: 12.6261 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1142 loss: 1.1142 2022/07/30 17:33:08 - mmengine - INFO - Epoch(train) [178][1640/3757] lr: 6.8523e-06 eta: 1:06:44 time: 0.4171 data_time: 0.0231 memory: 17006 grad_norm: 12.9011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4246 loss: 1.4246 2022/07/30 17:33:16 - mmengine - INFO - Epoch(train) [178][1660/3757] lr: 6.8523e-06 eta: 1:06:36 time: 0.4084 data_time: 0.0183 memory: 17006 grad_norm: 11.7375 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3655 loss: 1.3655 2022/07/30 17:33:25 - mmengine - INFO - Epoch(train) [178][1680/3757] lr: 6.8523e-06 eta: 1:06:28 time: 0.4419 data_time: 0.0220 memory: 17006 grad_norm: 12.3637 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0540 loss: 1.0540 2022/07/30 17:33:34 - mmengine - INFO - Epoch(train) [178][1700/3757] lr: 6.8523e-06 eta: 1:06:20 time: 0.4358 data_time: 0.0236 memory: 17006 grad_norm: 12.7305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2495 loss: 1.2495 2022/07/30 17:33:42 - mmengine - INFO - Epoch(train) [178][1720/3757] lr: 6.8523e-06 eta: 1:06:11 time: 0.4101 data_time: 0.0214 memory: 17006 grad_norm: 11.7177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2882 loss: 1.2882 2022/07/30 17:33:51 - mmengine - INFO - Epoch(train) [178][1740/3757] lr: 6.8523e-06 eta: 1:06:03 time: 0.4232 data_time: 0.0198 memory: 17006 grad_norm: 11.8402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0234 loss: 1.0234 2022/07/30 17:33:59 - mmengine - INFO - Epoch(train) [178][1760/3757] lr: 6.8523e-06 eta: 1:05:55 time: 0.4154 data_time: 0.0214 memory: 17006 grad_norm: 12.1333 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8949 loss: 0.8949 2022/07/30 17:34:08 - mmengine - INFO - Epoch(train) [178][1780/3757] lr: 6.8523e-06 eta: 1:05:46 time: 0.4176 data_time: 0.0204 memory: 17006 grad_norm: 12.2656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/07/30 17:34:16 - mmengine - INFO - Epoch(train) [178][1800/3757] lr: 6.8523e-06 eta: 1:05:38 time: 0.4085 data_time: 0.0221 memory: 17006 grad_norm: 11.0137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8788 loss: 0.8788 2022/07/30 17:34:24 - mmengine - INFO - Epoch(train) [178][1820/3757] lr: 6.8523e-06 eta: 1:05:30 time: 0.4207 data_time: 0.0184 memory: 17006 grad_norm: 12.5196 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9989 loss: 0.9989 2022/07/30 17:34:33 - mmengine - INFO - Epoch(train) [178][1840/3757] lr: 6.8523e-06 eta: 1:05:21 time: 0.4206 data_time: 0.0216 memory: 17006 grad_norm: 12.6065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2880 loss: 1.2880 2022/07/30 17:34:41 - mmengine - INFO - Epoch(train) [178][1860/3757] lr: 6.8523e-06 eta: 1:05:13 time: 0.4084 data_time: 0.0189 memory: 17006 grad_norm: 12.3151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8876 loss: 0.8876 2022/07/30 17:34:49 - mmengine - INFO - Epoch(train) [178][1880/3757] lr: 6.8523e-06 eta: 1:05:05 time: 0.4279 data_time: 0.0221 memory: 17006 grad_norm: 12.6801 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3520 loss: 1.3520 2022/07/30 17:34:58 - mmengine - INFO - Epoch(train) [178][1900/3757] lr: 6.8523e-06 eta: 1:04:56 time: 0.4285 data_time: 0.0200 memory: 17006 grad_norm: 12.4576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0875 loss: 1.0875 2022/07/30 17:35:06 - mmengine - INFO - Epoch(train) [178][1920/3757] lr: 6.8523e-06 eta: 1:04:48 time: 0.4066 data_time: 0.0203 memory: 17006 grad_norm: 12.0719 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1986 loss: 1.1986 2022/07/30 17:35:15 - mmengine - INFO - Epoch(train) [178][1940/3757] lr: 6.8523e-06 eta: 1:04:40 time: 0.4236 data_time: 0.0182 memory: 17006 grad_norm: 13.0687 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/07/30 17:35:23 - mmengine - INFO - Epoch(train) [178][1960/3757] lr: 6.8523e-06 eta: 1:04:31 time: 0.4088 data_time: 0.0231 memory: 17006 grad_norm: 12.8184 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2369 loss: 1.2369 2022/07/30 17:35:32 - mmengine - INFO - Epoch(train) [178][1980/3757] lr: 6.8523e-06 eta: 1:04:23 time: 0.4314 data_time: 0.0289 memory: 17006 grad_norm: 11.6300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9467 loss: 0.9467 2022/07/30 17:35:40 - mmengine - INFO - Epoch(train) [178][2000/3757] lr: 6.8523e-06 eta: 1:04:15 time: 0.4104 data_time: 0.0229 memory: 17006 grad_norm: 12.5504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0875 loss: 1.0875 2022/07/30 17:35:44 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:35:49 - mmengine - INFO - Epoch(train) [178][2020/3757] lr: 6.8523e-06 eta: 1:04:06 time: 0.4400 data_time: 0.0196 memory: 17006 grad_norm: 12.1560 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2308 loss: 1.2308 2022/07/30 17:35:57 - mmengine - INFO - Epoch(train) [178][2040/3757] lr: 6.8523e-06 eta: 1:03:58 time: 0.4111 data_time: 0.0225 memory: 17006 grad_norm: 12.4575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1627 loss: 1.1627 2022/07/30 17:36:05 - mmengine - INFO - Epoch(train) [178][2060/3757] lr: 6.8523e-06 eta: 1:03:50 time: 0.4058 data_time: 0.0193 memory: 17006 grad_norm: 12.3926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7313 loss: 0.7313 2022/07/30 17:36:14 - mmengine - INFO - Epoch(train) [178][2080/3757] lr: 6.8523e-06 eta: 1:03:42 time: 0.4263 data_time: 0.0233 memory: 17006 grad_norm: 12.4056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/07/30 17:36:22 - mmengine - INFO - Epoch(train) [178][2100/3757] lr: 6.8523e-06 eta: 1:03:33 time: 0.4100 data_time: 0.0197 memory: 17006 grad_norm: 12.0046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0228 loss: 1.0228 2022/07/30 17:36:30 - mmengine - INFO - Epoch(train) [178][2120/3757] lr: 6.8523e-06 eta: 1:03:25 time: 0.4264 data_time: 0.0240 memory: 17006 grad_norm: 12.6287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3250 loss: 1.3250 2022/07/30 17:36:39 - mmengine - INFO - Epoch(train) [178][2140/3757] lr: 6.8523e-06 eta: 1:03:17 time: 0.4064 data_time: 0.0181 memory: 17006 grad_norm: 12.3137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2094 loss: 1.2094 2022/07/30 17:36:47 - mmengine - INFO - Epoch(train) [178][2160/3757] lr: 6.8523e-06 eta: 1:03:08 time: 0.4119 data_time: 0.0210 memory: 17006 grad_norm: 12.6035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1358 loss: 1.1358 2022/07/30 17:36:56 - mmengine - INFO - Epoch(train) [178][2180/3757] lr: 6.8523e-06 eta: 1:03:00 time: 0.4387 data_time: 0.0244 memory: 17006 grad_norm: 11.9956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1031 loss: 1.1031 2022/07/30 17:37:04 - mmengine - INFO - Epoch(train) [178][2200/3757] lr: 6.8523e-06 eta: 1:02:52 time: 0.4077 data_time: 0.0216 memory: 17006 grad_norm: 12.1350 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9243 loss: 0.9243 2022/07/30 17:37:12 - mmengine - INFO - Epoch(train) [178][2220/3757] lr: 6.8523e-06 eta: 1:02:43 time: 0.4292 data_time: 0.0216 memory: 17006 grad_norm: 12.2944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9524 loss: 0.9524 2022/07/30 17:37:21 - mmengine - INFO - Epoch(train) [178][2240/3757] lr: 6.8523e-06 eta: 1:02:35 time: 0.4105 data_time: 0.0227 memory: 17006 grad_norm: 11.6086 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/07/30 17:37:29 - mmengine - INFO - Epoch(train) [178][2260/3757] lr: 6.8523e-06 eta: 1:02:27 time: 0.4283 data_time: 0.0199 memory: 17006 grad_norm: 12.2838 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1655 loss: 1.1655 2022/07/30 17:37:37 - mmengine - INFO - Epoch(train) [178][2280/3757] lr: 6.8523e-06 eta: 1:02:18 time: 0.4093 data_time: 0.0223 memory: 17006 grad_norm: 12.6012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1349 loss: 1.1349 2022/07/30 17:37:46 - mmengine - INFO - Epoch(train) [178][2300/3757] lr: 6.8523e-06 eta: 1:02:10 time: 0.4056 data_time: 0.0184 memory: 17006 grad_norm: 12.4597 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2809 loss: 1.2809 2022/07/30 17:37:54 - mmengine - INFO - Epoch(train) [178][2320/3757] lr: 6.8523e-06 eta: 1:02:02 time: 0.4189 data_time: 0.0226 memory: 17006 grad_norm: 12.6787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/07/30 17:38:02 - mmengine - INFO - Epoch(train) [178][2340/3757] lr: 6.8523e-06 eta: 1:01:53 time: 0.4074 data_time: 0.0190 memory: 17006 grad_norm: 12.1933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9944 loss: 0.9944 2022/07/30 17:38:11 - mmengine - INFO - Epoch(train) [178][2360/3757] lr: 6.8523e-06 eta: 1:01:45 time: 0.4191 data_time: 0.0224 memory: 17006 grad_norm: 12.4615 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0871 loss: 1.0871 2022/07/30 17:38:19 - mmengine - INFO - Epoch(train) [178][2380/3757] lr: 6.8523e-06 eta: 1:01:37 time: 0.4075 data_time: 0.0188 memory: 17006 grad_norm: 12.4207 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8701 loss: 0.8701 2022/07/30 17:38:27 - mmengine - INFO - Epoch(train) [178][2400/3757] lr: 6.8523e-06 eta: 1:01:28 time: 0.4151 data_time: 0.0211 memory: 17006 grad_norm: 12.3794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9642 loss: 0.9642 2022/07/30 17:38:36 - mmengine - INFO - Epoch(train) [178][2420/3757] lr: 6.8523e-06 eta: 1:01:20 time: 0.4345 data_time: 0.0190 memory: 17006 grad_norm: 12.3716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0543 loss: 1.0543 2022/07/30 17:38:44 - mmengine - INFO - Epoch(train) [178][2440/3757] lr: 6.8523e-06 eta: 1:01:12 time: 0.4083 data_time: 0.0209 memory: 17006 grad_norm: 12.1817 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9723 loss: 0.9723 2022/07/30 17:38:53 - mmengine - INFO - Epoch(train) [178][2460/3757] lr: 6.8523e-06 eta: 1:01:04 time: 0.4366 data_time: 0.0192 memory: 17006 grad_norm: 12.4577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1467 loss: 1.1467 2022/07/30 17:39:01 - mmengine - INFO - Epoch(train) [178][2480/3757] lr: 6.8523e-06 eta: 1:00:55 time: 0.4084 data_time: 0.0219 memory: 17006 grad_norm: 12.3991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0596 loss: 1.0596 2022/07/30 17:39:09 - mmengine - INFO - Epoch(train) [178][2500/3757] lr: 6.8523e-06 eta: 1:00:47 time: 0.4190 data_time: 0.0186 memory: 17006 grad_norm: 12.8787 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2618 loss: 1.2618 2022/07/30 17:39:18 - mmengine - INFO - Epoch(train) [178][2520/3757] lr: 6.8523e-06 eta: 1:00:39 time: 0.4093 data_time: 0.0224 memory: 17006 grad_norm: 11.9230 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0908 loss: 1.0908 2022/07/30 17:39:26 - mmengine - INFO - Epoch(train) [178][2540/3757] lr: 6.8523e-06 eta: 1:00:30 time: 0.4054 data_time: 0.0167 memory: 17006 grad_norm: 11.7919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1835 loss: 1.1835 2022/07/30 17:39:34 - mmengine - INFO - Epoch(train) [178][2560/3757] lr: 6.8523e-06 eta: 1:00:22 time: 0.4144 data_time: 0.0222 memory: 17006 grad_norm: 11.8150 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/07/30 17:39:42 - mmengine - INFO - Epoch(train) [178][2580/3757] lr: 6.8523e-06 eta: 1:00:14 time: 0.4101 data_time: 0.0190 memory: 17006 grad_norm: 12.8715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/07/30 17:39:51 - mmengine - INFO - Epoch(train) [178][2600/3757] lr: 6.8523e-06 eta: 1:00:05 time: 0.4209 data_time: 0.0234 memory: 17006 grad_norm: 11.5137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1087 loss: 1.1087 2022/07/30 17:39:59 - mmengine - INFO - Epoch(train) [178][2620/3757] lr: 6.8523e-06 eta: 0:59:57 time: 0.4072 data_time: 0.0193 memory: 17006 grad_norm: 12.8610 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0955 loss: 1.0955 2022/07/30 17:40:07 - mmengine - INFO - Epoch(train) [178][2640/3757] lr: 6.8523e-06 eta: 0:59:49 time: 0.4092 data_time: 0.0215 memory: 17006 grad_norm: 12.2708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0401 loss: 1.0401 2022/07/30 17:40:16 - mmengine - INFO - Epoch(train) [178][2660/3757] lr: 6.8523e-06 eta: 0:59:40 time: 0.4165 data_time: 0.0192 memory: 17006 grad_norm: 12.1181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0878 loss: 1.0878 2022/07/30 17:40:24 - mmengine - INFO - Epoch(train) [178][2680/3757] lr: 6.8523e-06 eta: 0:59:32 time: 0.4118 data_time: 0.0222 memory: 17006 grad_norm: 12.1662 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0843 loss: 1.0843 2022/07/30 17:40:32 - mmengine - INFO - Epoch(train) [178][2700/3757] lr: 6.8523e-06 eta: 0:59:24 time: 0.4225 data_time: 0.0201 memory: 17006 grad_norm: 12.6122 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/07/30 17:40:41 - mmengine - INFO - Epoch(train) [178][2720/3757] lr: 6.8523e-06 eta: 0:59:15 time: 0.4091 data_time: 0.0219 memory: 17006 grad_norm: 11.8974 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1417 loss: 1.1417 2022/07/30 17:40:49 - mmengine - INFO - Epoch(train) [178][2740/3757] lr: 6.8523e-06 eta: 0:59:07 time: 0.4149 data_time: 0.0205 memory: 17006 grad_norm: 11.5568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8358 loss: 0.8358 2022/07/30 17:40:57 - mmengine - INFO - Epoch(train) [178][2760/3757] lr: 6.8523e-06 eta: 0:58:59 time: 0.4099 data_time: 0.0223 memory: 17006 grad_norm: 11.7198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0156 loss: 1.0156 2022/07/30 17:41:06 - mmengine - INFO - Epoch(train) [178][2780/3757] lr: 6.8523e-06 eta: 0:58:50 time: 0.4300 data_time: 0.0205 memory: 17006 grad_norm: 12.0455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2402 loss: 1.2402 2022/07/30 17:41:14 - mmengine - INFO - Epoch(train) [178][2800/3757] lr: 6.8523e-06 eta: 0:58:42 time: 0.4167 data_time: 0.0232 memory: 17006 grad_norm: 12.3075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1738 loss: 1.1738 2022/07/30 17:41:23 - mmengine - INFO - Epoch(train) [178][2820/3757] lr: 6.8523e-06 eta: 0:58:34 time: 0.4370 data_time: 0.0192 memory: 17006 grad_norm: 12.3670 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9782 loss: 0.9782 2022/07/30 17:41:31 - mmengine - INFO - Epoch(train) [178][2840/3757] lr: 6.8523e-06 eta: 0:58:25 time: 0.4166 data_time: 0.0233 memory: 17006 grad_norm: 11.9645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4020 loss: 1.4020 2022/07/30 17:41:40 - mmengine - INFO - Epoch(train) [178][2860/3757] lr: 6.8523e-06 eta: 0:58:17 time: 0.4239 data_time: 0.0182 memory: 17006 grad_norm: 12.4561 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0951 loss: 1.0951 2022/07/30 17:41:48 - mmengine - INFO - Epoch(train) [178][2880/3757] lr: 6.8523e-06 eta: 0:58:09 time: 0.4183 data_time: 0.0235 memory: 17006 grad_norm: 12.5998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2253 loss: 1.2253 2022/07/30 17:41:56 - mmengine - INFO - Epoch(train) [178][2900/3757] lr: 6.8523e-06 eta: 0:58:01 time: 0.4057 data_time: 0.0181 memory: 17006 grad_norm: 12.0953 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1686 loss: 1.1686 2022/07/30 17:42:05 - mmengine - INFO - Epoch(train) [178][2920/3757] lr: 6.8523e-06 eta: 0:57:52 time: 0.4095 data_time: 0.0210 memory: 17006 grad_norm: 12.2623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9341 loss: 0.9341 2022/07/30 17:42:13 - mmengine - INFO - Epoch(train) [178][2940/3757] lr: 6.8523e-06 eta: 0:57:44 time: 0.4147 data_time: 0.0184 memory: 17006 grad_norm: 12.1258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9911 loss: 0.9911 2022/07/30 17:42:21 - mmengine - INFO - Epoch(train) [178][2960/3757] lr: 6.8523e-06 eta: 0:57:36 time: 0.4257 data_time: 0.0215 memory: 17006 grad_norm: 12.2404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0385 loss: 1.0385 2022/07/30 17:42:30 - mmengine - INFO - Epoch(train) [178][2980/3757] lr: 6.8523e-06 eta: 0:57:27 time: 0.4192 data_time: 0.0207 memory: 17006 grad_norm: 12.0100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0585 loss: 1.0585 2022/07/30 17:42:38 - mmengine - INFO - Epoch(train) [178][3000/3757] lr: 6.8523e-06 eta: 0:57:19 time: 0.4149 data_time: 0.0224 memory: 17006 grad_norm: 12.9197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/07/30 17:42:43 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:42:46 - mmengine - INFO - Epoch(train) [178][3020/3757] lr: 6.8523e-06 eta: 0:57:11 time: 0.4065 data_time: 0.0196 memory: 17006 grad_norm: 12.0236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1706 loss: 1.1706 2022/07/30 17:42:55 - mmengine - INFO - Epoch(train) [178][3040/3757] lr: 6.8523e-06 eta: 0:57:02 time: 0.4240 data_time: 0.0245 memory: 17006 grad_norm: 12.0807 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9595 loss: 0.9595 2022/07/30 17:43:03 - mmengine - INFO - Epoch(train) [178][3060/3757] lr: 6.8523e-06 eta: 0:56:54 time: 0.4071 data_time: 0.0181 memory: 17006 grad_norm: 12.2943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3716 loss: 1.3716 2022/07/30 17:43:12 - mmengine - INFO - Epoch(train) [178][3080/3757] lr: 6.8523e-06 eta: 0:56:46 time: 0.4289 data_time: 0.0233 memory: 17006 grad_norm: 12.5076 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4342 loss: 1.4342 2022/07/30 17:43:20 - mmengine - INFO - Epoch(train) [178][3100/3757] lr: 6.8523e-06 eta: 0:56:37 time: 0.4065 data_time: 0.0193 memory: 17006 grad_norm: 11.9041 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/07/30 17:43:29 - mmengine - INFO - Epoch(train) [178][3120/3757] lr: 6.8523e-06 eta: 0:56:29 time: 0.4454 data_time: 0.0220 memory: 17006 grad_norm: 11.9498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8251 loss: 0.8251 2022/07/30 17:43:37 - mmengine - INFO - Epoch(train) [178][3140/3757] lr: 6.8523e-06 eta: 0:56:21 time: 0.4058 data_time: 0.0177 memory: 17006 grad_norm: 12.1966 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8987 loss: 0.8987 2022/07/30 17:43:45 - mmengine - INFO - Epoch(train) [178][3160/3757] lr: 6.8523e-06 eta: 0:56:12 time: 0.4092 data_time: 0.0219 memory: 17006 grad_norm: 12.3060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1111 loss: 1.1111 2022/07/30 17:43:54 - mmengine - INFO - Epoch(train) [178][3180/3757] lr: 6.8523e-06 eta: 0:56:04 time: 0.4446 data_time: 0.0190 memory: 17006 grad_norm: 12.0905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0640 loss: 1.0640 2022/07/30 17:44:02 - mmengine - INFO - Epoch(train) [178][3200/3757] lr: 6.8523e-06 eta: 0:55:56 time: 0.4103 data_time: 0.0232 memory: 17006 grad_norm: 12.6773 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2872 loss: 1.2872 2022/07/30 17:44:11 - mmengine - INFO - Epoch(train) [178][3220/3757] lr: 6.8523e-06 eta: 0:55:48 time: 0.4290 data_time: 0.0205 memory: 17006 grad_norm: 11.7277 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9433 loss: 0.9433 2022/07/30 17:44:19 - mmengine - INFO - Epoch(train) [178][3240/3757] lr: 6.8523e-06 eta: 0:55:39 time: 0.4170 data_time: 0.0246 memory: 17006 grad_norm: 11.6042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0090 loss: 1.0090 2022/07/30 17:44:27 - mmengine - INFO - Epoch(train) [178][3260/3757] lr: 6.8523e-06 eta: 0:55:31 time: 0.4067 data_time: 0.0183 memory: 17006 grad_norm: 12.7233 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1747 loss: 1.1747 2022/07/30 17:44:36 - mmengine - INFO - Epoch(train) [178][3280/3757] lr: 6.8523e-06 eta: 0:55:23 time: 0.4152 data_time: 0.0268 memory: 17006 grad_norm: 12.8974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1041 loss: 1.1041 2022/07/30 17:44:44 - mmengine - INFO - Epoch(train) [178][3300/3757] lr: 6.8523e-06 eta: 0:55:14 time: 0.4129 data_time: 0.0203 memory: 17006 grad_norm: 12.4131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/07/30 17:44:53 - mmengine - INFO - Epoch(train) [178][3320/3757] lr: 6.8523e-06 eta: 0:55:06 time: 0.4609 data_time: 0.0225 memory: 17006 grad_norm: 11.6146 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2228 loss: 1.2228 2022/07/30 17:45:02 - mmengine - INFO - Epoch(train) [178][3340/3757] lr: 6.8523e-06 eta: 0:54:58 time: 0.4122 data_time: 0.0188 memory: 17006 grad_norm: 12.1279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0826 loss: 1.0826 2022/07/30 17:45:10 - mmengine - INFO - Epoch(train) [178][3360/3757] lr: 6.8523e-06 eta: 0:54:49 time: 0.4352 data_time: 0.0240 memory: 17006 grad_norm: 12.2048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9430 loss: 0.9430 2022/07/30 17:45:18 - mmengine - INFO - Epoch(train) [178][3380/3757] lr: 6.8523e-06 eta: 0:54:41 time: 0.4069 data_time: 0.0193 memory: 17006 grad_norm: 12.4443 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0976 loss: 1.0976 2022/07/30 17:45:27 - mmengine - INFO - Epoch(train) [178][3400/3757] lr: 6.8523e-06 eta: 0:54:33 time: 0.4075 data_time: 0.0217 memory: 17006 grad_norm: 12.0580 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2886 loss: 1.2886 2022/07/30 17:45:35 - mmengine - INFO - Epoch(train) [178][3420/3757] lr: 6.8523e-06 eta: 0:54:24 time: 0.4142 data_time: 0.0196 memory: 17006 grad_norm: 12.2610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9683 loss: 0.9683 2022/07/30 17:45:43 - mmengine - INFO - Epoch(train) [178][3440/3757] lr: 6.8523e-06 eta: 0:54:16 time: 0.4163 data_time: 0.0215 memory: 17006 grad_norm: 12.0395 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0142 loss: 1.0142 2022/07/30 17:45:52 - mmengine - INFO - Epoch(train) [178][3460/3757] lr: 6.8523e-06 eta: 0:54:08 time: 0.4176 data_time: 0.0210 memory: 17006 grad_norm: 12.7337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0762 loss: 1.0762 2022/07/30 17:46:01 - mmengine - INFO - Epoch(train) [178][3480/3757] lr: 6.8523e-06 eta: 0:53:59 time: 0.4561 data_time: 0.0222 memory: 17006 grad_norm: 12.7735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9275 loss: 0.9275 2022/07/30 17:46:09 - mmengine - INFO - Epoch(train) [178][3500/3757] lr: 6.8523e-06 eta: 0:53:51 time: 0.4069 data_time: 0.0191 memory: 17006 grad_norm: 12.8909 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2362 loss: 1.2362 2022/07/30 17:46:17 - mmengine - INFO - Epoch(train) [178][3520/3757] lr: 6.8523e-06 eta: 0:53:43 time: 0.4076 data_time: 0.0215 memory: 17006 grad_norm: 11.9647 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/07/30 17:46:26 - mmengine - INFO - Epoch(train) [178][3540/3757] lr: 6.8523e-06 eta: 0:53:34 time: 0.4247 data_time: 0.0190 memory: 17006 grad_norm: 12.3991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0868 loss: 1.0868 2022/07/30 17:46:34 - mmengine - INFO - Epoch(train) [178][3560/3757] lr: 6.8523e-06 eta: 0:53:26 time: 0.4106 data_time: 0.0227 memory: 17006 grad_norm: 11.6904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1536 loss: 1.1536 2022/07/30 17:46:43 - mmengine - INFO - Epoch(train) [178][3580/3757] lr: 6.8523e-06 eta: 0:53:18 time: 0.4328 data_time: 0.0188 memory: 17006 grad_norm: 12.0966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0356 loss: 1.0356 2022/07/30 17:46:51 - mmengine - INFO - Epoch(train) [178][3600/3757] lr: 6.8523e-06 eta: 0:53:10 time: 0.4090 data_time: 0.0219 memory: 17006 grad_norm: 11.9519 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0622 loss: 1.0622 2022/07/30 17:47:00 - mmengine - INFO - Epoch(train) [178][3620/3757] lr: 6.8523e-06 eta: 0:53:01 time: 0.4338 data_time: 0.0191 memory: 17006 grad_norm: 11.9671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0974 loss: 1.0974 2022/07/30 17:47:08 - mmengine - INFO - Epoch(train) [178][3640/3757] lr: 6.8523e-06 eta: 0:52:53 time: 0.4080 data_time: 0.0214 memory: 17006 grad_norm: 12.6125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1285 loss: 1.1285 2022/07/30 17:47:16 - mmengine - INFO - Epoch(train) [178][3660/3757] lr: 6.8523e-06 eta: 0:52:45 time: 0.4080 data_time: 0.0192 memory: 17006 grad_norm: 11.5439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2451 loss: 1.2451 2022/07/30 17:47:25 - mmengine - INFO - Epoch(train) [178][3680/3757] lr: 6.8523e-06 eta: 0:52:36 time: 0.4274 data_time: 0.0221 memory: 17006 grad_norm: 12.2117 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0887 loss: 1.0887 2022/07/30 17:47:33 - mmengine - INFO - Epoch(train) [178][3700/3757] lr: 6.8523e-06 eta: 0:52:28 time: 0.4075 data_time: 0.0210 memory: 17006 grad_norm: 12.6852 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2169 loss: 1.2169 2022/07/30 17:47:42 - mmengine - INFO - Epoch(train) [178][3720/3757] lr: 6.8523e-06 eta: 0:52:20 time: 0.4447 data_time: 0.0237 memory: 17006 grad_norm: 12.2963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1230 loss: 1.1230 2022/07/30 17:47:50 - mmengine - INFO - Epoch(train) [178][3740/3757] lr: 6.8523e-06 eta: 0:52:11 time: 0.4087 data_time: 0.0195 memory: 17006 grad_norm: 12.4503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2427 loss: 1.2427 2022/07/30 17:47:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:47:57 - mmengine - INFO - Epoch(train) [178][3757/3757] lr: 6.8523e-06 eta: 0:52:11 time: 0.3985 data_time: 0.0208 memory: 17006 grad_norm: 12.2936 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/07/30 17:47:57 - mmengine - INFO - Saving checkpoint at 178 epochs 2022/07/30 17:48:10 - mmengine - INFO - Epoch(train) [179][20/3757] lr: 3.0459e-06 eta: 0:51:56 time: 0.4605 data_time: 0.0733 memory: 17006 grad_norm: 12.4061 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3671 loss: 1.3671 2022/07/30 17:48:19 - mmengine - INFO - Epoch(train) [179][40/3757] lr: 3.0459e-06 eta: 0:51:47 time: 0.4182 data_time: 0.0246 memory: 17006 grad_norm: 12.2503 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7259 loss: 0.7259 2022/07/30 17:48:27 - mmengine - INFO - Epoch(train) [179][60/3757] lr: 3.0459e-06 eta: 0:51:39 time: 0.4062 data_time: 0.0202 memory: 17006 grad_norm: 12.2746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1277 loss: 1.1277 2022/07/30 17:48:35 - mmengine - INFO - Epoch(train) [179][80/3757] lr: 3.0459e-06 eta: 0:51:31 time: 0.4353 data_time: 0.0209 memory: 17006 grad_norm: 11.8194 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9600 loss: 0.9600 2022/07/30 17:48:44 - mmengine - INFO - Epoch(train) [179][100/3757] lr: 3.0459e-06 eta: 0:51:22 time: 0.4256 data_time: 0.0222 memory: 17006 grad_norm: 12.7842 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0828 loss: 1.0828 2022/07/30 17:48:53 - mmengine - INFO - Epoch(train) [179][120/3757] lr: 3.0459e-06 eta: 0:51:14 time: 0.4265 data_time: 0.0204 memory: 17006 grad_norm: 12.0544 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/07/30 17:49:01 - mmengine - INFO - Epoch(train) [179][140/3757] lr: 3.0459e-06 eta: 0:51:06 time: 0.4262 data_time: 0.0234 memory: 17006 grad_norm: 11.8228 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2302 loss: 1.2302 2022/07/30 17:49:09 - mmengine - INFO - Epoch(train) [179][160/3757] lr: 3.0459e-06 eta: 0:50:58 time: 0.4157 data_time: 0.0206 memory: 17006 grad_norm: 12.0952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0810 loss: 1.0810 2022/07/30 17:49:18 - mmengine - INFO - Epoch(train) [179][180/3757] lr: 3.0459e-06 eta: 0:50:49 time: 0.4070 data_time: 0.0208 memory: 17006 grad_norm: 12.7645 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9721 loss: 0.9721 2022/07/30 17:49:26 - mmengine - INFO - Epoch(train) [179][200/3757] lr: 3.0459e-06 eta: 0:50:41 time: 0.4120 data_time: 0.0218 memory: 17006 grad_norm: 12.4582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2587 loss: 1.2587 2022/07/30 17:49:34 - mmengine - INFO - Epoch(train) [179][220/3757] lr: 3.0459e-06 eta: 0:50:33 time: 0.4117 data_time: 0.0212 memory: 17006 grad_norm: 11.8095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8107 loss: 0.8107 2022/07/30 17:49:43 - mmengine - INFO - Epoch(train) [179][240/3757] lr: 3.0459e-06 eta: 0:50:24 time: 0.4344 data_time: 0.0227 memory: 17006 grad_norm: 12.2453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9437 loss: 0.9437 2022/07/30 17:49:49 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:49:51 - mmengine - INFO - Epoch(train) [179][260/3757] lr: 3.0459e-06 eta: 0:50:16 time: 0.4167 data_time: 0.0210 memory: 17006 grad_norm: 11.1076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1796 loss: 1.1796 2022/07/30 17:50:00 - mmengine - INFO - Epoch(train) [179][280/3757] lr: 3.0459e-06 eta: 0:50:08 time: 0.4222 data_time: 0.0207 memory: 17006 grad_norm: 12.2708 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/07/30 17:50:08 - mmengine - INFO - Epoch(train) [179][300/3757] lr: 3.0459e-06 eta: 0:49:59 time: 0.4094 data_time: 0.0224 memory: 17006 grad_norm: 12.2949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9545 loss: 0.9545 2022/07/30 17:50:16 - mmengine - INFO - Epoch(train) [179][320/3757] lr: 3.0459e-06 eta: 0:49:51 time: 0.4138 data_time: 0.0192 memory: 17006 grad_norm: 13.0116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1855 loss: 1.1855 2022/07/30 17:50:25 - mmengine - INFO - Epoch(train) [179][340/3757] lr: 3.0459e-06 eta: 0:49:43 time: 0.4353 data_time: 0.0246 memory: 17006 grad_norm: 12.4714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2059 loss: 1.2059 2022/07/30 17:50:33 - mmengine - INFO - Epoch(train) [179][360/3757] lr: 3.0459e-06 eta: 0:49:34 time: 0.4082 data_time: 0.0224 memory: 17006 grad_norm: 11.6686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1595 loss: 1.1595 2022/07/30 17:50:42 - mmengine - INFO - Epoch(train) [179][380/3757] lr: 3.0459e-06 eta: 0:49:26 time: 0.4209 data_time: 0.0230 memory: 17006 grad_norm: 12.3933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8713 loss: 0.8713 2022/07/30 17:50:50 - mmengine - INFO - Epoch(train) [179][400/3757] lr: 3.0459e-06 eta: 0:49:18 time: 0.4088 data_time: 0.0213 memory: 17006 grad_norm: 11.9814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1483 loss: 1.1483 2022/07/30 17:50:58 - mmengine - INFO - Epoch(train) [179][420/3757] lr: 3.0459e-06 eta: 0:49:09 time: 0.4076 data_time: 0.0211 memory: 17006 grad_norm: 12.4095 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0070 loss: 1.0070 2022/07/30 17:51:07 - mmengine - INFO - Epoch(train) [179][440/3757] lr: 3.0459e-06 eta: 0:49:01 time: 0.4360 data_time: 0.0245 memory: 17006 grad_norm: 12.0226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0500 loss: 1.0500 2022/07/30 17:51:15 - mmengine - INFO - Epoch(train) [179][460/3757] lr: 3.0459e-06 eta: 0:48:53 time: 0.4250 data_time: 0.0214 memory: 17006 grad_norm: 11.8042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1195 loss: 1.1195 2022/07/30 17:51:24 - mmengine - INFO - Epoch(train) [179][480/3757] lr: 3.0459e-06 eta: 0:48:44 time: 0.4096 data_time: 0.0203 memory: 17006 grad_norm: 12.3644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7215 loss: 0.7215 2022/07/30 17:51:33 - mmengine - INFO - Epoch(train) [179][500/3757] lr: 3.0459e-06 eta: 0:48:36 time: 0.4474 data_time: 0.0213 memory: 17006 grad_norm: 11.7441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9005 loss: 0.9005 2022/07/30 17:51:41 - mmengine - INFO - Epoch(train) [179][520/3757] lr: 3.0459e-06 eta: 0:48:28 time: 0.4088 data_time: 0.0215 memory: 17006 grad_norm: 12.1993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1818 loss: 1.1818 2022/07/30 17:51:50 - mmengine - INFO - Epoch(train) [179][540/3757] lr: 3.0459e-06 eta: 0:48:20 time: 0.4421 data_time: 0.0237 memory: 17006 grad_norm: 12.3697 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/07/30 17:51:58 - mmengine - INFO - Epoch(train) [179][560/3757] lr: 3.0459e-06 eta: 0:48:11 time: 0.4071 data_time: 0.0209 memory: 17006 grad_norm: 13.0730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1846 loss: 1.1846 2022/07/30 17:52:06 - mmengine - INFO - Epoch(train) [179][580/3757] lr: 3.0459e-06 eta: 0:48:03 time: 0.4093 data_time: 0.0203 memory: 17006 grad_norm: 12.2831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0614 loss: 1.0614 2022/07/30 17:52:14 - mmengine - INFO - Epoch(train) [179][600/3757] lr: 3.0459e-06 eta: 0:47:55 time: 0.4154 data_time: 0.0221 memory: 17006 grad_norm: 12.4099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0128 loss: 1.0128 2022/07/30 17:52:23 - mmengine - INFO - Epoch(train) [179][620/3757] lr: 3.0459e-06 eta: 0:47:46 time: 0.4164 data_time: 0.0233 memory: 17006 grad_norm: 11.9345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0399 loss: 1.0399 2022/07/30 17:52:31 - mmengine - INFO - Epoch(train) [179][640/3757] lr: 3.0459e-06 eta: 0:47:38 time: 0.4079 data_time: 0.0215 memory: 17006 grad_norm: 12.6351 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0936 loss: 1.0936 2022/07/30 17:52:40 - mmengine - INFO - Epoch(train) [179][660/3757] lr: 3.0459e-06 eta: 0:47:30 time: 0.4539 data_time: 0.0243 memory: 17006 grad_norm: 12.4442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1190 loss: 1.1190 2022/07/30 17:52:48 - mmengine - INFO - Epoch(train) [179][680/3757] lr: 3.0459e-06 eta: 0:47:21 time: 0.4070 data_time: 0.0205 memory: 17006 grad_norm: 12.4026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2750 loss: 1.2750 2022/07/30 17:52:56 - mmengine - INFO - Epoch(train) [179][700/3757] lr: 3.0459e-06 eta: 0:47:13 time: 0.4079 data_time: 0.0206 memory: 17006 grad_norm: 12.4643 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2032 loss: 1.2032 2022/07/30 17:53:09 - mmengine - INFO - Epoch(train) [179][720/3757] lr: 3.0459e-06 eta: 0:47:05 time: 0.6248 data_time: 0.0308 memory: 17006 grad_norm: 12.1988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2216 loss: 1.2216 2022/07/30 17:53:17 - mmengine - INFO - Epoch(train) [179][740/3757] lr: 3.0459e-06 eta: 0:46:57 time: 0.4098 data_time: 0.0237 memory: 17006 grad_norm: 11.9089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1075 loss: 1.1075 2022/07/30 17:53:26 - mmengine - INFO - Epoch(train) [179][760/3757] lr: 3.0459e-06 eta: 0:46:48 time: 0.4378 data_time: 0.0206 memory: 17006 grad_norm: 12.4376 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0122 loss: 1.0122 2022/07/30 17:53:34 - mmengine - INFO - Epoch(train) [179][780/3757] lr: 3.0459e-06 eta: 0:46:40 time: 0.4245 data_time: 0.0262 memory: 17006 grad_norm: 12.4934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0196 loss: 1.0196 2022/07/30 17:53:43 - mmengine - INFO - Epoch(train) [179][800/3757] lr: 3.0459e-06 eta: 0:46:32 time: 0.4207 data_time: 0.0210 memory: 17006 grad_norm: 11.8963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1072 loss: 1.1072 2022/07/30 17:53:51 - mmengine - INFO - Epoch(train) [179][820/3757] lr: 3.0459e-06 eta: 0:46:23 time: 0.4110 data_time: 0.0227 memory: 17006 grad_norm: 11.9181 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2796 loss: 1.2796 2022/07/30 17:54:00 - mmengine - INFO - Epoch(train) [179][840/3757] lr: 3.0459e-06 eta: 0:46:15 time: 0.4158 data_time: 0.0216 memory: 17006 grad_norm: 12.1086 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1457 loss: 1.1457 2022/07/30 17:54:08 - mmengine - INFO - Epoch(train) [179][860/3757] lr: 3.0459e-06 eta: 0:46:07 time: 0.4085 data_time: 0.0223 memory: 17006 grad_norm: 12.4672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8696 loss: 0.8696 2022/07/30 17:54:16 - mmengine - INFO - Epoch(train) [179][880/3757] lr: 3.0459e-06 eta: 0:45:58 time: 0.4163 data_time: 0.0188 memory: 17006 grad_norm: 12.2329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9086 loss: 0.9086 2022/07/30 17:54:24 - mmengine - INFO - Epoch(train) [179][900/3757] lr: 3.0459e-06 eta: 0:45:50 time: 0.4130 data_time: 0.0231 memory: 17006 grad_norm: 12.0260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/07/30 17:54:33 - mmengine - INFO - Epoch(train) [179][920/3757] lr: 3.0459e-06 eta: 0:45:42 time: 0.4160 data_time: 0.0198 memory: 17006 grad_norm: 12.5951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1308 loss: 1.1308 2022/07/30 17:54:41 - mmengine - INFO - Epoch(train) [179][940/3757] lr: 3.0459e-06 eta: 0:45:33 time: 0.4187 data_time: 0.0230 memory: 17006 grad_norm: 11.9197 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0466 loss: 1.0466 2022/07/30 17:54:49 - mmengine - INFO - Epoch(train) [179][960/3757] lr: 3.0459e-06 eta: 0:45:25 time: 0.4119 data_time: 0.0198 memory: 17006 grad_norm: 12.0873 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/07/30 17:54:58 - mmengine - INFO - Epoch(train) [179][980/3757] lr: 3.0459e-06 eta: 0:45:17 time: 0.4085 data_time: 0.0216 memory: 17006 grad_norm: 11.8339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1684 loss: 1.1684 2022/07/30 17:55:06 - mmengine - INFO - Epoch(train) [179][1000/3757] lr: 3.0459e-06 eta: 0:45:08 time: 0.4157 data_time: 0.0206 memory: 17006 grad_norm: 12.0441 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9890 loss: 0.9890 2022/07/30 17:55:15 - mmengine - INFO - Epoch(train) [179][1020/3757] lr: 3.0459e-06 eta: 0:45:00 time: 0.4459 data_time: 0.0227 memory: 17006 grad_norm: 12.3698 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8483 loss: 0.8483 2022/07/30 17:55:23 - mmengine - INFO - Epoch(train) [179][1040/3757] lr: 3.0459e-06 eta: 0:44:52 time: 0.4161 data_time: 0.0201 memory: 17006 grad_norm: 12.7195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/07/30 17:55:32 - mmengine - INFO - Epoch(train) [179][1060/3757] lr: 3.0459e-06 eta: 0:44:43 time: 0.4210 data_time: 0.0231 memory: 17006 grad_norm: 11.9026 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3956 loss: 1.3956 2022/07/30 17:55:40 - mmengine - INFO - Epoch(train) [179][1080/3757] lr: 3.0459e-06 eta: 0:44:35 time: 0.4111 data_time: 0.0205 memory: 17006 grad_norm: 12.7415 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0690 loss: 1.0690 2022/07/30 17:55:48 - mmengine - INFO - Epoch(train) [179][1100/3757] lr: 3.0459e-06 eta: 0:44:27 time: 0.4073 data_time: 0.0216 memory: 17006 grad_norm: 12.2407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2307 loss: 1.2307 2022/07/30 17:55:57 - mmengine - INFO - Epoch(train) [179][1120/3757] lr: 3.0459e-06 eta: 0:44:19 time: 0.4331 data_time: 0.0180 memory: 17006 grad_norm: 11.8925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9324 loss: 0.9324 2022/07/30 17:56:05 - mmengine - INFO - Epoch(train) [179][1140/3757] lr: 3.0459e-06 eta: 0:44:10 time: 0.4199 data_time: 0.0240 memory: 17006 grad_norm: 12.5281 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1377 loss: 1.1377 2022/07/30 17:56:13 - mmengine - INFO - Epoch(train) [179][1160/3757] lr: 3.0459e-06 eta: 0:44:02 time: 0.4083 data_time: 0.0192 memory: 17006 grad_norm: 11.9614 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2641 loss: 1.2641 2022/07/30 17:56:22 - mmengine - INFO - Epoch(train) [179][1180/3757] lr: 3.0459e-06 eta: 0:43:54 time: 0.4170 data_time: 0.0243 memory: 17006 grad_norm: 12.8436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1988 loss: 1.1988 2022/07/30 17:56:30 - mmengine - INFO - Epoch(train) [179][1200/3757] lr: 3.0459e-06 eta: 0:43:45 time: 0.4175 data_time: 0.0195 memory: 17006 grad_norm: 12.2630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2246 loss: 1.2246 2022/07/30 17:56:38 - mmengine - INFO - Epoch(train) [179][1220/3757] lr: 3.0459e-06 eta: 0:43:37 time: 0.4103 data_time: 0.0228 memory: 17006 grad_norm: 11.7123 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0518 loss: 1.0518 2022/07/30 17:56:47 - mmengine - INFO - Epoch(train) [179][1240/3757] lr: 3.0459e-06 eta: 0:43:29 time: 0.4066 data_time: 0.0176 memory: 17006 grad_norm: 12.5885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2124 loss: 1.2124 2022/07/30 17:56:53 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 17:56:55 - mmengine - INFO - Epoch(train) [179][1260/3757] lr: 3.0459e-06 eta: 0:43:20 time: 0.4181 data_time: 0.0229 memory: 17006 grad_norm: 12.2137 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3189 loss: 1.3189 2022/07/30 17:57:03 - mmengine - INFO - Epoch(train) [179][1280/3757] lr: 3.0459e-06 eta: 0:43:12 time: 0.4077 data_time: 0.0186 memory: 17006 grad_norm: 12.7202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0555 loss: 1.0555 2022/07/30 17:57:12 - mmengine - INFO - Epoch(train) [179][1300/3757] lr: 3.0459e-06 eta: 0:43:04 time: 0.4312 data_time: 0.0237 memory: 17006 grad_norm: 12.3202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2089 loss: 1.2089 2022/07/30 17:57:20 - mmengine - INFO - Epoch(train) [179][1320/3757] lr: 3.0459e-06 eta: 0:42:55 time: 0.4064 data_time: 0.0184 memory: 17006 grad_norm: 12.3915 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0769 loss: 1.0769 2022/07/30 17:57:28 - mmengine - INFO - Epoch(train) [179][1340/3757] lr: 3.0459e-06 eta: 0:42:47 time: 0.4077 data_time: 0.0210 memory: 17006 grad_norm: 12.0034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9427 loss: 0.9427 2022/07/30 17:57:37 - mmengine - INFO - Epoch(train) [179][1360/3757] lr: 3.0459e-06 eta: 0:42:39 time: 0.4293 data_time: 0.0204 memory: 17006 grad_norm: 12.0168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/07/30 17:57:45 - mmengine - INFO - Epoch(train) [179][1380/3757] lr: 3.0459e-06 eta: 0:42:30 time: 0.4092 data_time: 0.0210 memory: 17006 grad_norm: 12.6290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0755 loss: 1.0755 2022/07/30 17:57:53 - mmengine - INFO - Epoch(train) [179][1400/3757] lr: 3.0459e-06 eta: 0:42:22 time: 0.4161 data_time: 0.0192 memory: 17006 grad_norm: 13.0363 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/07/30 17:58:02 - mmengine - INFO - Epoch(train) [179][1420/3757] lr: 3.0459e-06 eta: 0:42:14 time: 0.4098 data_time: 0.0226 memory: 17006 grad_norm: 11.9767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8711 loss: 0.8711 2022/07/30 17:58:11 - mmengine - INFO - Epoch(train) [179][1440/3757] lr: 3.0459e-06 eta: 0:42:05 time: 0.4559 data_time: 0.0205 memory: 17006 grad_norm: 12.7425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2484 loss: 1.2484 2022/07/30 17:58:19 - mmengine - INFO - Epoch(train) [179][1460/3757] lr: 3.0459e-06 eta: 0:41:57 time: 0.4102 data_time: 0.0212 memory: 17006 grad_norm: 11.9240 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2389 loss: 1.2389 2022/07/30 17:58:27 - mmengine - INFO - Epoch(train) [179][1480/3757] lr: 3.0459e-06 eta: 0:41:49 time: 0.4087 data_time: 0.0201 memory: 17006 grad_norm: 11.7154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/07/30 17:58:36 - mmengine - INFO - Epoch(train) [179][1500/3757] lr: 3.0459e-06 eta: 0:41:41 time: 0.4253 data_time: 0.0236 memory: 17006 grad_norm: 13.0090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1403 loss: 1.1403 2022/07/30 17:58:44 - mmengine - INFO - Epoch(train) [179][1520/3757] lr: 3.0459e-06 eta: 0:41:32 time: 0.4323 data_time: 0.0219 memory: 17006 grad_norm: 12.1810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0733 loss: 1.0733 2022/07/30 17:58:53 - mmengine - INFO - Epoch(train) [179][1540/3757] lr: 3.0459e-06 eta: 0:41:24 time: 0.4173 data_time: 0.0209 memory: 17006 grad_norm: 12.3381 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8984 loss: 0.8984 2022/07/30 17:59:01 - mmengine - INFO - Epoch(train) [179][1560/3757] lr: 3.0459e-06 eta: 0:41:16 time: 0.4073 data_time: 0.0204 memory: 17006 grad_norm: 12.4217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0714 loss: 1.0714 2022/07/30 17:59:09 - mmengine - INFO - Epoch(train) [179][1580/3757] lr: 3.0459e-06 eta: 0:41:07 time: 0.4185 data_time: 0.0216 memory: 17006 grad_norm: 12.6596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0993 loss: 1.0993 2022/07/30 17:59:18 - mmengine - INFO - Epoch(train) [179][1600/3757] lr: 3.0459e-06 eta: 0:40:59 time: 0.4102 data_time: 0.0195 memory: 17006 grad_norm: 12.8739 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0927 loss: 1.0927 2022/07/30 17:59:26 - mmengine - INFO - Epoch(train) [179][1620/3757] lr: 3.0459e-06 eta: 0:40:51 time: 0.4327 data_time: 0.0211 memory: 17006 grad_norm: 12.0810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0065 loss: 1.0065 2022/07/30 17:59:35 - mmengine - INFO - Epoch(train) [179][1640/3757] lr: 3.0459e-06 eta: 0:40:42 time: 0.4300 data_time: 0.0224 memory: 17006 grad_norm: 11.9343 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8734 loss: 0.8734 2022/07/30 17:59:43 - mmengine - INFO - Epoch(train) [179][1660/3757] lr: 3.0459e-06 eta: 0:40:34 time: 0.4150 data_time: 0.0229 memory: 17006 grad_norm: 12.4005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1008 loss: 1.1008 2022/07/30 17:59:52 - mmengine - INFO - Epoch(train) [179][1680/3757] lr: 3.0459e-06 eta: 0:40:26 time: 0.4174 data_time: 0.0205 memory: 17006 grad_norm: 11.7996 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1132 loss: 1.1132 2022/07/30 18:00:00 - mmengine - INFO - Epoch(train) [179][1700/3757] lr: 3.0459e-06 eta: 0:40:17 time: 0.4127 data_time: 0.0211 memory: 17006 grad_norm: 12.2290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1670 loss: 1.1670 2022/07/30 18:00:12 - mmengine - INFO - Epoch(train) [179][1720/3757] lr: 3.0459e-06 eta: 0:40:09 time: 0.6097 data_time: 0.0253 memory: 17006 grad_norm: 12.5031 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2075 loss: 1.2075 2022/07/30 18:00:21 - mmengine - INFO - Epoch(train) [179][1740/3757] lr: 3.0459e-06 eta: 0:40:01 time: 0.4212 data_time: 0.0255 memory: 17006 grad_norm: 12.6778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2008 loss: 1.2008 2022/07/30 18:00:29 - mmengine - INFO - Epoch(train) [179][1760/3757] lr: 3.0459e-06 eta: 0:39:52 time: 0.4066 data_time: 0.0188 memory: 17006 grad_norm: 12.7536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2833 loss: 1.2833 2022/07/30 18:00:38 - mmengine - INFO - Epoch(train) [179][1780/3757] lr: 3.0459e-06 eta: 0:39:44 time: 0.4453 data_time: 0.0206 memory: 17006 grad_norm: 12.2873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/07/30 18:00:46 - mmengine - INFO - Epoch(train) [179][1800/3757] lr: 3.0459e-06 eta: 0:39:36 time: 0.4252 data_time: 0.0252 memory: 17006 grad_norm: 12.1802 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1932 loss: 1.1932 2022/07/30 18:00:55 - mmengine - INFO - Epoch(train) [179][1820/3757] lr: 3.0459e-06 eta: 0:39:28 time: 0.4091 data_time: 0.0235 memory: 17006 grad_norm: 12.2185 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0186 loss: 1.0186 2022/07/30 18:01:03 - mmengine - INFO - Epoch(train) [179][1840/3757] lr: 3.0459e-06 eta: 0:39:19 time: 0.4310 data_time: 0.0270 memory: 17006 grad_norm: 12.1537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0698 loss: 1.0698 2022/07/30 18:01:11 - mmengine - INFO - Epoch(train) [179][1860/3757] lr: 3.0459e-06 eta: 0:39:11 time: 0.4143 data_time: 0.0226 memory: 17006 grad_norm: 12.0227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9355 loss: 0.9355 2022/07/30 18:01:20 - mmengine - INFO - Epoch(train) [179][1880/3757] lr: 3.0459e-06 eta: 0:39:03 time: 0.4108 data_time: 0.0199 memory: 17006 grad_norm: 12.4008 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4270 loss: 1.4270 2022/07/30 18:01:28 - mmengine - INFO - Epoch(train) [179][1900/3757] lr: 3.0459e-06 eta: 0:38:54 time: 0.4078 data_time: 0.0222 memory: 17006 grad_norm: 11.8715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2203 loss: 1.2203 2022/07/30 18:01:36 - mmengine - INFO - Epoch(train) [179][1920/3757] lr: 3.0459e-06 eta: 0:38:46 time: 0.4094 data_time: 0.0181 memory: 17006 grad_norm: 11.9840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0122 loss: 1.0122 2022/07/30 18:01:45 - mmengine - INFO - Epoch(train) [179][1940/3757] lr: 3.0459e-06 eta: 0:38:38 time: 0.4232 data_time: 0.0230 memory: 17006 grad_norm: 11.9289 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9460 loss: 0.9460 2022/07/30 18:01:53 - mmengine - INFO - Epoch(train) [179][1960/3757] lr: 3.0459e-06 eta: 0:38:29 time: 0.4162 data_time: 0.0178 memory: 17006 grad_norm: 12.3426 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/07/30 18:02:01 - mmengine - INFO - Epoch(train) [179][1980/3757] lr: 3.0459e-06 eta: 0:38:21 time: 0.4224 data_time: 0.0244 memory: 17006 grad_norm: 12.3991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1214 loss: 1.1214 2022/07/30 18:02:10 - mmengine - INFO - Epoch(train) [179][2000/3757] lr: 3.0459e-06 eta: 0:38:13 time: 0.4068 data_time: 0.0179 memory: 17006 grad_norm: 12.1777 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9240 loss: 0.9240 2022/07/30 18:02:18 - mmengine - INFO - Epoch(train) [179][2020/3757] lr: 3.0459e-06 eta: 0:38:04 time: 0.4100 data_time: 0.0235 memory: 17006 grad_norm: 12.6418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0006 loss: 1.0006 2022/07/30 18:02:27 - mmengine - INFO - Epoch(train) [179][2040/3757] lr: 3.0459e-06 eta: 0:37:56 time: 0.4488 data_time: 0.0197 memory: 17006 grad_norm: 11.5305 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0272 loss: 1.0272 2022/07/30 18:02:35 - mmengine - INFO - Epoch(train) [179][2060/3757] lr: 3.0459e-06 eta: 0:37:48 time: 0.4086 data_time: 0.0221 memory: 17006 grad_norm: 12.9787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2344 loss: 1.2344 2022/07/30 18:02:43 - mmengine - INFO - Epoch(train) [179][2080/3757] lr: 3.0459e-06 eta: 0:37:39 time: 0.4143 data_time: 0.0214 memory: 17006 grad_norm: 12.0110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2881 loss: 1.2881 2022/07/30 18:02:52 - mmengine - INFO - Epoch(train) [179][2100/3757] lr: 3.0459e-06 eta: 0:37:31 time: 0.4094 data_time: 0.0216 memory: 17006 grad_norm: 12.4585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0494 loss: 1.0494 2022/07/30 18:03:00 - mmengine - INFO - Epoch(train) [179][2120/3757] lr: 3.0459e-06 eta: 0:37:23 time: 0.4096 data_time: 0.0186 memory: 17006 grad_norm: 12.3688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1515 loss: 1.1515 2022/07/30 18:03:08 - mmengine - INFO - Epoch(train) [179][2140/3757] lr: 3.0459e-06 eta: 0:37:14 time: 0.4082 data_time: 0.0222 memory: 17006 grad_norm: 12.3479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1729 loss: 1.1729 2022/07/30 18:03:16 - mmengine - INFO - Epoch(train) [179][2160/3757] lr: 3.0459e-06 eta: 0:37:06 time: 0.4070 data_time: 0.0183 memory: 17006 grad_norm: 12.2944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9919 loss: 0.9919 2022/07/30 18:03:25 - mmengine - INFO - Epoch(train) [179][2180/3757] lr: 3.0459e-06 eta: 0:36:58 time: 0.4392 data_time: 0.0236 memory: 17006 grad_norm: 11.6301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9277 loss: 0.9277 2022/07/30 18:03:33 - mmengine - INFO - Epoch(train) [179][2200/3757] lr: 3.0459e-06 eta: 0:36:50 time: 0.4128 data_time: 0.0193 memory: 17006 grad_norm: 12.2946 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3094 loss: 1.3094 2022/07/30 18:03:42 - mmengine - INFO - Epoch(train) [179][2220/3757] lr: 3.0459e-06 eta: 0:36:41 time: 0.4227 data_time: 0.0223 memory: 17006 grad_norm: 12.5996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1971 loss: 1.1971 2022/07/30 18:03:50 - mmengine - INFO - Epoch(train) [179][2240/3757] lr: 3.0459e-06 eta: 0:36:33 time: 0.4074 data_time: 0.0191 memory: 17006 grad_norm: 12.5986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9916 loss: 0.9916 2022/07/30 18:03:56 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 18:03:58 - mmengine - INFO - Epoch(train) [179][2260/3757] lr: 3.0459e-06 eta: 0:36:25 time: 0.4088 data_time: 0.0221 memory: 17006 grad_norm: 12.4646 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0293 loss: 1.0293 2022/07/30 18:04:07 - mmengine - INFO - Epoch(train) [179][2280/3757] lr: 3.0459e-06 eta: 0:36:16 time: 0.4174 data_time: 0.0188 memory: 17006 grad_norm: 12.8416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2904 loss: 1.2904 2022/07/30 18:04:15 - mmengine - INFO - Epoch(train) [179][2300/3757] lr: 3.0459e-06 eta: 0:36:08 time: 0.4097 data_time: 0.0225 memory: 17006 grad_norm: 12.5523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1864 loss: 1.1864 2022/07/30 18:04:23 - mmengine - INFO - Epoch(train) [179][2320/3757] lr: 3.0459e-06 eta: 0:36:00 time: 0.4230 data_time: 0.0244 memory: 17006 grad_norm: 12.1868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/07/30 18:04:32 - mmengine - INFO - Epoch(train) [179][2340/3757] lr: 3.0459e-06 eta: 0:35:51 time: 0.4091 data_time: 0.0222 memory: 17006 grad_norm: 11.7874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1366 loss: 1.1366 2022/07/30 18:04:40 - mmengine - INFO - Epoch(train) [179][2360/3757] lr: 3.0459e-06 eta: 0:35:43 time: 0.4162 data_time: 0.0188 memory: 17006 grad_norm: 12.4686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1890 loss: 1.1890 2022/07/30 18:04:48 - mmengine - INFO - Epoch(train) [179][2380/3757] lr: 3.0459e-06 eta: 0:35:35 time: 0.4093 data_time: 0.0222 memory: 17006 grad_norm: 12.2024 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2537 loss: 1.2537 2022/07/30 18:04:56 - mmengine - INFO - Epoch(train) [179][2400/3757] lr: 3.0459e-06 eta: 0:35:26 time: 0.4081 data_time: 0.0214 memory: 17006 grad_norm: 12.0667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2803 loss: 1.2803 2022/07/30 18:05:05 - mmengine - INFO - Epoch(train) [179][2420/3757] lr: 3.0459e-06 eta: 0:35:18 time: 0.4351 data_time: 0.0224 memory: 17006 grad_norm: 12.2020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7648 loss: 0.7648 2022/07/30 18:05:13 - mmengine - INFO - Epoch(train) [179][2440/3757] lr: 3.0459e-06 eta: 0:35:10 time: 0.4092 data_time: 0.0193 memory: 17006 grad_norm: 11.9533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9701 loss: 0.9701 2022/07/30 18:05:22 - mmengine - INFO - Epoch(train) [179][2460/3757] lr: 3.0459e-06 eta: 0:35:01 time: 0.4487 data_time: 0.0235 memory: 17006 grad_norm: 11.9635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9731 loss: 0.9731 2022/07/30 18:05:31 - mmengine - INFO - Epoch(train) [179][2480/3757] lr: 3.0459e-06 eta: 0:34:53 time: 0.4069 data_time: 0.0185 memory: 17006 grad_norm: 12.1014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9882 loss: 0.9882 2022/07/30 18:05:39 - mmengine - INFO - Epoch(train) [179][2500/3757] lr: 3.0459e-06 eta: 0:34:45 time: 0.4078 data_time: 0.0208 memory: 17006 grad_norm: 12.3504 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9470 loss: 0.9470 2022/07/30 18:05:48 - mmengine - INFO - Epoch(train) [179][2520/3757] lr: 3.0459e-06 eta: 0:34:36 time: 0.4530 data_time: 0.0202 memory: 17006 grad_norm: 11.9313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8953 loss: 0.8953 2022/07/30 18:05:56 - mmengine - INFO - Epoch(train) [179][2540/3757] lr: 3.0459e-06 eta: 0:34:28 time: 0.4133 data_time: 0.0246 memory: 17006 grad_norm: 12.0673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0760 loss: 1.0760 2022/07/30 18:06:05 - mmengine - INFO - Epoch(train) [179][2560/3757] lr: 3.0459e-06 eta: 0:34:20 time: 0.4540 data_time: 0.0195 memory: 17006 grad_norm: 12.0244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3789 loss: 1.3789 2022/07/30 18:06:13 - mmengine - INFO - Epoch(train) [179][2580/3757] lr: 3.0459e-06 eta: 0:34:12 time: 0.4084 data_time: 0.0215 memory: 17006 grad_norm: 11.4238 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6779 loss: 0.6779 2022/07/30 18:06:22 - mmengine - INFO - Epoch(train) [179][2600/3757] lr: 3.0459e-06 eta: 0:34:03 time: 0.4431 data_time: 0.0248 memory: 17006 grad_norm: 12.1591 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2840 loss: 1.2840 2022/07/30 18:06:31 - mmengine - INFO - Epoch(train) [179][2620/3757] lr: 3.0459e-06 eta: 0:33:55 time: 0.4087 data_time: 0.0224 memory: 17006 grad_norm: 11.7519 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0757 loss: 1.0757 2022/07/30 18:06:39 - mmengine - INFO - Epoch(train) [179][2640/3757] lr: 3.0459e-06 eta: 0:33:47 time: 0.4078 data_time: 0.0208 memory: 17006 grad_norm: 12.3221 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1318 loss: 1.1318 2022/07/30 18:06:48 - mmengine - INFO - Epoch(train) [179][2660/3757] lr: 3.0459e-06 eta: 0:33:38 time: 0.4687 data_time: 0.0223 memory: 17006 grad_norm: 13.1954 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0024 loss: 1.0024 2022/07/30 18:06:56 - mmengine - INFO - Epoch(train) [179][2680/3757] lr: 3.0459e-06 eta: 0:33:30 time: 0.4084 data_time: 0.0195 memory: 17006 grad_norm: 12.4117 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/07/30 18:07:05 - mmengine - INFO - Epoch(train) [179][2700/3757] lr: 3.0459e-06 eta: 0:33:22 time: 0.4197 data_time: 0.0275 memory: 17006 grad_norm: 12.0359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1761 loss: 1.1761 2022/07/30 18:07:13 - mmengine - INFO - Epoch(train) [179][2720/3757] lr: 3.0459e-06 eta: 0:33:13 time: 0.4195 data_time: 0.0218 memory: 17006 grad_norm: 12.4533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0307 loss: 1.0307 2022/07/30 18:07:22 - mmengine - INFO - Epoch(train) [179][2740/3757] lr: 3.0459e-06 eta: 0:33:05 time: 0.4178 data_time: 0.0228 memory: 17006 grad_norm: 12.2669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2099 loss: 1.2099 2022/07/30 18:07:30 - mmengine - INFO - Epoch(train) [179][2760/3757] lr: 3.0459e-06 eta: 0:32:57 time: 0.4116 data_time: 0.0184 memory: 17006 grad_norm: 11.7552 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1577 loss: 1.1577 2022/07/30 18:07:38 - mmengine - INFO - Epoch(train) [179][2780/3757] lr: 3.0459e-06 eta: 0:32:48 time: 0.4213 data_time: 0.0215 memory: 17006 grad_norm: 12.0932 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1685 loss: 1.1685 2022/07/30 18:07:46 - mmengine - INFO - Epoch(train) [179][2800/3757] lr: 3.0459e-06 eta: 0:32:40 time: 0.4101 data_time: 0.0201 memory: 17006 grad_norm: 12.1374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8792 loss: 0.8792 2022/07/30 18:07:55 - mmengine - INFO - Epoch(train) [179][2820/3757] lr: 3.0459e-06 eta: 0:32:32 time: 0.4428 data_time: 0.0221 memory: 17006 grad_norm: 12.1776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9863 loss: 0.9863 2022/07/30 18:08:04 - mmengine - INFO - Epoch(train) [179][2840/3757] lr: 3.0459e-06 eta: 0:32:23 time: 0.4087 data_time: 0.0195 memory: 17006 grad_norm: 12.3037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9820 loss: 0.9820 2022/07/30 18:08:12 - mmengine - INFO - Epoch(train) [179][2860/3757] lr: 3.0459e-06 eta: 0:32:15 time: 0.4301 data_time: 0.0238 memory: 17006 grad_norm: 11.7066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9790 loss: 0.9790 2022/07/30 18:08:21 - mmengine - INFO - Epoch(train) [179][2880/3757] lr: 3.0459e-06 eta: 0:32:07 time: 0.4186 data_time: 0.0200 memory: 17006 grad_norm: 11.9887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0133 loss: 1.0133 2022/07/30 18:08:29 - mmengine - INFO - Epoch(train) [179][2900/3757] lr: 3.0459e-06 eta: 0:31:58 time: 0.4059 data_time: 0.0214 memory: 17006 grad_norm: 11.9133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2340 loss: 1.2340 2022/07/30 18:08:37 - mmengine - INFO - Epoch(train) [179][2920/3757] lr: 3.0459e-06 eta: 0:31:50 time: 0.4270 data_time: 0.0202 memory: 17006 grad_norm: 12.2969 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/07/30 18:08:46 - mmengine - INFO - Epoch(train) [179][2940/3757] lr: 3.0459e-06 eta: 0:31:42 time: 0.4112 data_time: 0.0224 memory: 17006 grad_norm: 12.6639 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/07/30 18:08:55 - mmengine - INFO - Epoch(train) [179][2960/3757] lr: 3.0459e-06 eta: 0:31:34 time: 0.4452 data_time: 0.0206 memory: 17006 grad_norm: 12.1168 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0224 loss: 1.0224 2022/07/30 18:09:03 - mmengine - INFO - Epoch(train) [179][2980/3757] lr: 3.0459e-06 eta: 0:31:25 time: 0.4110 data_time: 0.0220 memory: 17006 grad_norm: 12.1623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/07/30 18:09:11 - mmengine - INFO - Epoch(train) [179][3000/3757] lr: 3.0459e-06 eta: 0:31:17 time: 0.4196 data_time: 0.0210 memory: 17006 grad_norm: 12.7089 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3157 loss: 1.3157 2022/07/30 18:09:19 - mmengine - INFO - Epoch(train) [179][3020/3757] lr: 3.0459e-06 eta: 0:31:09 time: 0.4091 data_time: 0.0229 memory: 17006 grad_norm: 12.7373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/07/30 18:09:28 - mmengine - INFO - Epoch(train) [179][3040/3757] lr: 3.0459e-06 eta: 0:31:00 time: 0.4092 data_time: 0.0186 memory: 17006 grad_norm: 12.0378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0573 loss: 1.0573 2022/07/30 18:09:36 - mmengine - INFO - Epoch(train) [179][3060/3757] lr: 3.0459e-06 eta: 0:30:52 time: 0.4194 data_time: 0.0222 memory: 17006 grad_norm: 12.9368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0121 loss: 1.0121 2022/07/30 18:09:44 - mmengine - INFO - Epoch(train) [179][3080/3757] lr: 3.0459e-06 eta: 0:30:44 time: 0.4175 data_time: 0.0198 memory: 17006 grad_norm: 12.5699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8807 loss: 0.8807 2022/07/30 18:09:53 - mmengine - INFO - Epoch(train) [179][3100/3757] lr: 3.0459e-06 eta: 0:30:35 time: 0.4147 data_time: 0.0221 memory: 17006 grad_norm: 12.5001 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0700 loss: 1.0700 2022/07/30 18:10:01 - mmengine - INFO - Epoch(train) [179][3120/3757] lr: 3.0459e-06 eta: 0:30:27 time: 0.4202 data_time: 0.0197 memory: 17006 grad_norm: 12.1671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3280 loss: 1.3280 2022/07/30 18:10:09 - mmengine - INFO - Epoch(train) [179][3140/3757] lr: 3.0459e-06 eta: 0:30:19 time: 0.4079 data_time: 0.0214 memory: 17006 grad_norm: 12.3836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0933 loss: 1.0933 2022/07/30 18:10:18 - mmengine - INFO - Epoch(train) [179][3160/3757] lr: 3.0459e-06 eta: 0:30:10 time: 0.4080 data_time: 0.0201 memory: 17006 grad_norm: 11.7229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7916 loss: 0.7916 2022/07/30 18:10:26 - mmengine - INFO - Epoch(train) [179][3180/3757] lr: 3.0459e-06 eta: 0:30:02 time: 0.4164 data_time: 0.0229 memory: 17006 grad_norm: 12.1251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/07/30 18:10:34 - mmengine - INFO - Epoch(train) [179][3200/3757] lr: 3.0459e-06 eta: 0:29:54 time: 0.4096 data_time: 0.0195 memory: 17006 grad_norm: 12.6864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9391 loss: 0.9391 2022/07/30 18:10:43 - mmengine - INFO - Epoch(train) [179][3220/3757] lr: 3.0459e-06 eta: 0:29:45 time: 0.4293 data_time: 0.0242 memory: 17006 grad_norm: 12.4810 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1449 loss: 1.1449 2022/07/30 18:10:51 - mmengine - INFO - Epoch(train) [179][3240/3757] lr: 3.0459e-06 eta: 0:29:37 time: 0.4067 data_time: 0.0193 memory: 17006 grad_norm: 12.3062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2363 loss: 1.2363 2022/07/30 18:10:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 18:10:59 - mmengine - INFO - Epoch(train) [179][3260/3757] lr: 3.0459e-06 eta: 0:29:29 time: 0.4103 data_time: 0.0224 memory: 17006 grad_norm: 11.8018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2542 loss: 1.2542 2022/07/30 18:11:07 - mmengine - INFO - Epoch(train) [179][3280/3757] lr: 3.0459e-06 eta: 0:29:20 time: 0.4097 data_time: 0.0197 memory: 17006 grad_norm: 12.7782 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3453 loss: 1.3453 2022/07/30 18:11:16 - mmengine - INFO - Epoch(train) [179][3300/3757] lr: 3.0459e-06 eta: 0:29:12 time: 0.4142 data_time: 0.0237 memory: 17006 grad_norm: 11.9509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0414 loss: 1.0414 2022/07/30 18:11:25 - mmengine - INFO - Epoch(train) [179][3320/3757] lr: 3.0459e-06 eta: 0:29:04 time: 0.4534 data_time: 0.0201 memory: 17006 grad_norm: 12.1785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9069 loss: 0.9069 2022/07/30 18:11:33 - mmengine - INFO - Epoch(train) [179][3340/3757] lr: 3.0459e-06 eta: 0:28:55 time: 0.4109 data_time: 0.0223 memory: 17006 grad_norm: 12.5837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2960 loss: 1.2960 2022/07/30 18:11:42 - mmengine - INFO - Epoch(train) [179][3360/3757] lr: 3.0459e-06 eta: 0:28:47 time: 0.4569 data_time: 0.0194 memory: 17006 grad_norm: 12.8484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0917 loss: 1.0917 2022/07/30 18:11:51 - mmengine - INFO - Epoch(train) [179][3380/3757] lr: 3.0459e-06 eta: 0:28:39 time: 0.4104 data_time: 0.0221 memory: 17006 grad_norm: 12.2137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9377 loss: 0.9377 2022/07/30 18:11:59 - mmengine - INFO - Epoch(train) [179][3400/3757] lr: 3.0459e-06 eta: 0:28:31 time: 0.4098 data_time: 0.0217 memory: 17006 grad_norm: 12.3464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9532 loss: 0.9532 2022/07/30 18:12:07 - mmengine - INFO - Epoch(train) [179][3420/3757] lr: 3.0459e-06 eta: 0:28:22 time: 0.4349 data_time: 0.0225 memory: 17006 grad_norm: 11.9437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/07/30 18:12:16 - mmengine - INFO - Epoch(train) [179][3440/3757] lr: 3.0459e-06 eta: 0:28:14 time: 0.4103 data_time: 0.0202 memory: 17006 grad_norm: 12.3798 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.3211 loss: 1.3211 2022/07/30 18:12:24 - mmengine - INFO - Epoch(train) [179][3460/3757] lr: 3.0459e-06 eta: 0:28:06 time: 0.4255 data_time: 0.0230 memory: 17006 grad_norm: 12.2034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/07/30 18:12:33 - mmengine - INFO - Epoch(train) [179][3480/3757] lr: 3.0459e-06 eta: 0:27:57 time: 0.4144 data_time: 0.0198 memory: 17006 grad_norm: 12.1554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1038 loss: 1.1038 2022/07/30 18:12:41 - mmengine - INFO - Epoch(train) [179][3500/3757] lr: 3.0459e-06 eta: 0:27:49 time: 0.4236 data_time: 0.0235 memory: 17006 grad_norm: 12.5045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/07/30 18:12:49 - mmengine - INFO - Epoch(train) [179][3520/3757] lr: 3.0459e-06 eta: 0:27:41 time: 0.4066 data_time: 0.0189 memory: 17006 grad_norm: 12.2166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1461 loss: 1.1461 2022/07/30 18:12:57 - mmengine - INFO - Epoch(train) [179][3540/3757] lr: 3.0459e-06 eta: 0:27:32 time: 0.4095 data_time: 0.0207 memory: 17006 grad_norm: 11.5959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1194 loss: 1.1194 2022/07/30 18:13:06 - mmengine - INFO - Epoch(train) [179][3560/3757] lr: 3.0459e-06 eta: 0:27:24 time: 0.4084 data_time: 0.0202 memory: 17006 grad_norm: 12.3799 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0703 loss: 1.0703 2022/07/30 18:13:14 - mmengine - INFO - Epoch(train) [179][3580/3757] lr: 3.0459e-06 eta: 0:27:16 time: 0.4195 data_time: 0.0231 memory: 17006 grad_norm: 12.4592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1121 loss: 1.1121 2022/07/30 18:13:22 - mmengine - INFO - Epoch(train) [179][3600/3757] lr: 3.0459e-06 eta: 0:27:07 time: 0.4176 data_time: 0.0209 memory: 17006 grad_norm: 12.2190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/07/30 18:13:31 - mmengine - INFO - Epoch(train) [179][3620/3757] lr: 3.0459e-06 eta: 0:26:59 time: 0.4176 data_time: 0.0224 memory: 17006 grad_norm: 12.0972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2435 loss: 1.2435 2022/07/30 18:13:39 - mmengine - INFO - Epoch(train) [179][3640/3757] lr: 3.0459e-06 eta: 0:26:51 time: 0.4086 data_time: 0.0198 memory: 17006 grad_norm: 12.3144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1788 loss: 1.1788 2022/07/30 18:13:47 - mmengine - INFO - Epoch(train) [179][3660/3757] lr: 3.0459e-06 eta: 0:26:42 time: 0.4166 data_time: 0.0215 memory: 17006 grad_norm: 12.2233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1366 loss: 1.1366 2022/07/30 18:13:56 - mmengine - INFO - Epoch(train) [179][3680/3757] lr: 3.0459e-06 eta: 0:26:34 time: 0.4154 data_time: 0.0206 memory: 17006 grad_norm: 12.7373 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1217 loss: 1.1217 2022/07/30 18:14:04 - mmengine - INFO - Epoch(train) [179][3700/3757] lr: 3.0459e-06 eta: 0:26:26 time: 0.4256 data_time: 0.0224 memory: 17006 grad_norm: 12.6130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8812 loss: 0.8812 2022/07/30 18:14:13 - mmengine - INFO - Epoch(train) [179][3720/3757] lr: 3.0459e-06 eta: 0:26:17 time: 0.4125 data_time: 0.0203 memory: 17006 grad_norm: 12.0100 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2810 loss: 1.2810 2022/07/30 18:14:21 - mmengine - INFO - Epoch(train) [179][3740/3757] lr: 3.0459e-06 eta: 0:26:09 time: 0.4204 data_time: 0.0232 memory: 17006 grad_norm: 12.3906 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2748 loss: 1.2748 2022/07/30 18:14:28 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 18:14:28 - mmengine - INFO - Epoch(train) [179][3757/3757] lr: 3.0459e-06 eta: 0:26:09 time: 0.4080 data_time: 0.0194 memory: 17006 grad_norm: 12.1302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0846 loss: 1.0846 2022/07/30 18:14:28 - mmengine - INFO - Saving checkpoint at 179 epochs 2022/07/30 18:14:43 - mmengine - INFO - Epoch(train) [180][20/3757] lr: 7.6152e-07 eta: 0:25:54 time: 0.4823 data_time: 0.0943 memory: 17006 grad_norm: 12.2591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2392 loss: 1.2392 2022/07/30 18:14:51 - mmengine - INFO - Epoch(train) [180][40/3757] lr: 7.6152e-07 eta: 0:25:45 time: 0.4103 data_time: 0.0225 memory: 17006 grad_norm: 12.0493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0971 loss: 1.0971 2022/07/30 18:14:59 - mmengine - INFO - Epoch(train) [180][60/3757] lr: 7.6152e-07 eta: 0:25:37 time: 0.4058 data_time: 0.0177 memory: 17006 grad_norm: 12.3234 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9863 loss: 0.9863 2022/07/30 18:15:08 - mmengine - INFO - Epoch(train) [180][80/3757] lr: 7.6152e-07 eta: 0:25:29 time: 0.4192 data_time: 0.0228 memory: 17006 grad_norm: 12.3718 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1904 loss: 1.1904 2022/07/30 18:15:16 - mmengine - INFO - Epoch(train) [180][100/3757] lr: 7.6152e-07 eta: 0:25:20 time: 0.4103 data_time: 0.0175 memory: 17006 grad_norm: 13.0605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8237 loss: 0.8237 2022/07/30 18:15:25 - mmengine - INFO - Epoch(train) [180][120/3757] lr: 7.6152e-07 eta: 0:25:12 time: 0.4267 data_time: 0.0231 memory: 17006 grad_norm: 12.8412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2819 loss: 1.2819 2022/07/30 18:15:33 - mmengine - INFO - Epoch(train) [180][140/3757] lr: 7.6152e-07 eta: 0:25:04 time: 0.4129 data_time: 0.0185 memory: 17006 grad_norm: 12.2260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1877 loss: 1.1877 2022/07/30 18:15:41 - mmengine - INFO - Epoch(train) [180][160/3757] lr: 7.6152e-07 eta: 0:24:55 time: 0.4224 data_time: 0.0210 memory: 17006 grad_norm: 12.0492 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8848 loss: 0.8848 2022/07/30 18:15:49 - mmengine - INFO - Epoch(train) [180][180/3757] lr: 7.6152e-07 eta: 0:24:47 time: 0.4068 data_time: 0.0184 memory: 17006 grad_norm: 12.3156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1796 loss: 1.1796 2022/07/30 18:15:58 - mmengine - INFO - Epoch(train) [180][200/3757] lr: 7.6152e-07 eta: 0:24:39 time: 0.4058 data_time: 0.0210 memory: 17006 grad_norm: 11.8723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/07/30 18:16:07 - mmengine - INFO - Epoch(train) [180][220/3757] lr: 7.6152e-07 eta: 0:24:30 time: 0.4703 data_time: 0.0212 memory: 17006 grad_norm: 12.2365 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0324 loss: 1.0324 2022/07/30 18:16:15 - mmengine - INFO - Epoch(train) [180][240/3757] lr: 7.6152e-07 eta: 0:24:22 time: 0.4077 data_time: 0.0215 memory: 17006 grad_norm: 12.0893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9577 loss: 0.9577 2022/07/30 18:16:24 - mmengine - INFO - Epoch(train) [180][260/3757] lr: 7.6152e-07 eta: 0:24:14 time: 0.4184 data_time: 0.0192 memory: 17006 grad_norm: 12.0879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3201 loss: 1.3201 2022/07/30 18:16:32 - mmengine - INFO - Epoch(train) [180][280/3757] lr: 7.6152e-07 eta: 0:24:06 time: 0.4096 data_time: 0.0227 memory: 17006 grad_norm: 12.4003 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.0480 loss: 1.0480 2022/07/30 18:16:40 - mmengine - INFO - Epoch(train) [180][300/3757] lr: 7.6152e-07 eta: 0:23:57 time: 0.4052 data_time: 0.0188 memory: 17006 grad_norm: 13.0893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1154 loss: 1.1154 2022/07/30 18:16:49 - mmengine - INFO - Epoch(train) [180][320/3757] lr: 7.6152e-07 eta: 0:23:49 time: 0.4248 data_time: 0.0224 memory: 17006 grad_norm: 12.5200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2147 loss: 1.2147 2022/07/30 18:16:57 - mmengine - INFO - Epoch(train) [180][340/3757] lr: 7.6152e-07 eta: 0:23:41 time: 0.4146 data_time: 0.0176 memory: 17006 grad_norm: 12.0586 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3487 loss: 1.3487 2022/07/30 18:17:05 - mmengine - INFO - Epoch(train) [180][360/3757] lr: 7.6152e-07 eta: 0:23:32 time: 0.4185 data_time: 0.0213 memory: 17006 grad_norm: 12.2324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9356 loss: 0.9356 2022/07/30 18:17:13 - mmengine - INFO - Epoch(train) [180][380/3757] lr: 7.6152e-07 eta: 0:23:24 time: 0.4061 data_time: 0.0182 memory: 17006 grad_norm: 11.8404 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9305 loss: 0.9305 2022/07/30 18:17:24 - mmengine - INFO - Epoch(train) [180][400/3757] lr: 7.6152e-07 eta: 0:23:16 time: 0.5453 data_time: 0.0199 memory: 17006 grad_norm: 12.3530 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1455 loss: 1.1455 2022/07/30 18:17:33 - mmengine - INFO - Epoch(train) [180][420/3757] lr: 7.6152e-07 eta: 0:23:07 time: 0.4112 data_time: 0.0214 memory: 17006 grad_norm: 12.1048 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0911 loss: 1.0911 2022/07/30 18:17:41 - mmengine - INFO - Epoch(train) [180][440/3757] lr: 7.6152e-07 eta: 0:22:59 time: 0.4116 data_time: 0.0182 memory: 17006 grad_norm: 11.8674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0856 loss: 1.0856 2022/07/30 18:17:49 - mmengine - INFO - Epoch(train) [180][460/3757] lr: 7.6152e-07 eta: 0:22:51 time: 0.4109 data_time: 0.0215 memory: 17006 grad_norm: 12.0057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9625 loss: 0.9625 2022/07/30 18:17:57 - mmengine - INFO - Epoch(train) [180][480/3757] lr: 7.6152e-07 eta: 0:22:42 time: 0.4063 data_time: 0.0186 memory: 17006 grad_norm: 12.3896 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0259 loss: 1.0259 2022/07/30 18:18:05 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 18:18:06 - mmengine - INFO - Epoch(train) [180][500/3757] lr: 7.6152e-07 eta: 0:22:34 time: 0.4230 data_time: 0.0218 memory: 17006 grad_norm: 12.0692 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9807 loss: 0.9807 2022/07/30 18:18:14 - mmengine - INFO - Epoch(train) [180][520/3757] lr: 7.6152e-07 eta: 0:22:26 time: 0.4064 data_time: 0.0187 memory: 17006 grad_norm: 12.2648 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2419 loss: 1.2419 2022/07/30 18:18:23 - mmengine - INFO - Epoch(train) [180][540/3757] lr: 7.6152e-07 eta: 0:22:17 time: 0.4426 data_time: 0.0261 memory: 17006 grad_norm: 12.4379 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9115 loss: 0.9115 2022/07/30 18:18:31 - mmengine - INFO - Epoch(train) [180][560/3757] lr: 7.6152e-07 eta: 0:22:09 time: 0.4094 data_time: 0.0185 memory: 17006 grad_norm: 12.8340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1380 loss: 1.1380 2022/07/30 18:18:39 - mmengine - INFO - Epoch(train) [180][580/3757] lr: 7.6152e-07 eta: 0:22:01 time: 0.4062 data_time: 0.0202 memory: 17006 grad_norm: 12.2304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3272 loss: 1.3272 2022/07/30 18:18:48 - mmengine - INFO - Epoch(train) [180][600/3757] lr: 7.6152e-07 eta: 0:21:52 time: 0.4288 data_time: 0.0193 memory: 17006 grad_norm: 11.6195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0291 loss: 1.0291 2022/07/30 18:18:56 - mmengine - INFO - Epoch(train) [180][620/3757] lr: 7.6152e-07 eta: 0:21:44 time: 0.4184 data_time: 0.0231 memory: 17006 grad_norm: 12.6634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3735 loss: 1.3735 2022/07/30 18:19:05 - mmengine - INFO - Epoch(train) [180][640/3757] lr: 7.6152e-07 eta: 0:21:36 time: 0.4144 data_time: 0.0182 memory: 17006 grad_norm: 12.3197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0520 loss: 1.0520 2022/07/30 18:19:13 - mmengine - INFO - Epoch(train) [180][660/3757] lr: 7.6152e-07 eta: 0:21:28 time: 0.4295 data_time: 0.0229 memory: 17006 grad_norm: 11.5593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0068 loss: 1.0068 2022/07/30 18:19:21 - mmengine - INFO - Epoch(train) [180][680/3757] lr: 7.6152e-07 eta: 0:21:19 time: 0.4077 data_time: 0.0185 memory: 17006 grad_norm: 12.4200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3551 loss: 1.3551 2022/07/30 18:19:29 - mmengine - INFO - Epoch(train) [180][700/3757] lr: 7.6152e-07 eta: 0:21:11 time: 0.4076 data_time: 0.0206 memory: 17006 grad_norm: 11.6797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8994 loss: 0.8994 2022/07/30 18:19:38 - mmengine - INFO - Epoch(train) [180][720/3757] lr: 7.6152e-07 eta: 0:21:03 time: 0.4279 data_time: 0.0194 memory: 17006 grad_norm: 12.0499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0025 loss: 1.0025 2022/07/30 18:19:46 - mmengine - INFO - Epoch(train) [180][740/3757] lr: 7.6152e-07 eta: 0:20:54 time: 0.4112 data_time: 0.0222 memory: 17006 grad_norm: 11.9321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0234 loss: 1.0234 2022/07/30 18:19:55 - mmengine - INFO - Epoch(train) [180][760/3757] lr: 7.6152e-07 eta: 0:20:46 time: 0.4301 data_time: 0.0201 memory: 17006 grad_norm: 11.9093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9863 loss: 0.9863 2022/07/30 18:20:03 - mmengine - INFO - Epoch(train) [180][780/3757] lr: 7.6152e-07 eta: 0:20:38 time: 0.4115 data_time: 0.0226 memory: 17006 grad_norm: 11.8188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0372 loss: 1.0372 2022/07/30 18:20:12 - mmengine - INFO - Epoch(train) [180][800/3757] lr: 7.6152e-07 eta: 0:20:29 time: 0.4240 data_time: 0.0183 memory: 17006 grad_norm: 12.0243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0093 loss: 1.0093 2022/07/30 18:20:20 - mmengine - INFO - Epoch(train) [180][820/3757] lr: 7.6152e-07 eta: 0:20:21 time: 0.4079 data_time: 0.0220 memory: 17006 grad_norm: 12.6533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0051 loss: 1.0051 2022/07/30 18:20:30 - mmengine - INFO - Epoch(train) [180][840/3757] lr: 7.6152e-07 eta: 0:20:13 time: 0.4850 data_time: 0.0183 memory: 17006 grad_norm: 12.4463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0401 loss: 1.0401 2022/07/30 18:20:38 - mmengine - INFO - Epoch(train) [180][860/3757] lr: 7.6152e-07 eta: 0:20:04 time: 0.4374 data_time: 0.0255 memory: 17006 grad_norm: 12.3596 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/07/30 18:20:47 - mmengine - INFO - Epoch(train) [180][880/3757] lr: 7.6152e-07 eta: 0:19:56 time: 0.4069 data_time: 0.0190 memory: 17006 grad_norm: 11.9215 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0181 loss: 1.0181 2022/07/30 18:20:56 - mmengine - INFO - Epoch(train) [180][900/3757] lr: 7.6152e-07 eta: 0:19:48 time: 0.4464 data_time: 0.0225 memory: 17006 grad_norm: 12.6816 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9934 loss: 0.9934 2022/07/30 18:21:04 - mmengine - INFO - Epoch(train) [180][920/3757] lr: 7.6152e-07 eta: 0:19:39 time: 0.4092 data_time: 0.0206 memory: 17006 grad_norm: 12.3519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/07/30 18:21:12 - mmengine - INFO - Epoch(train) [180][940/3757] lr: 7.6152e-07 eta: 0:19:31 time: 0.4260 data_time: 0.0224 memory: 17006 grad_norm: 12.0914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/07/30 18:21:21 - mmengine - INFO - Epoch(train) [180][960/3757] lr: 7.6152e-07 eta: 0:19:23 time: 0.4063 data_time: 0.0180 memory: 17006 grad_norm: 12.5483 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2240 loss: 1.2240 2022/07/30 18:21:29 - mmengine - INFO - Epoch(train) [180][980/3757] lr: 7.6152e-07 eta: 0:19:14 time: 0.4097 data_time: 0.0211 memory: 17006 grad_norm: 12.5421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0170 loss: 1.0170 2022/07/30 18:21:37 - mmengine - INFO - Epoch(train) [180][1000/3757] lr: 7.6152e-07 eta: 0:19:06 time: 0.4209 data_time: 0.0183 memory: 17006 grad_norm: 12.0703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0970 loss: 1.0970 2022/07/30 18:21:45 - mmengine - INFO - Epoch(train) [180][1020/3757] lr: 7.6152e-07 eta: 0:18:58 time: 0.4115 data_time: 0.0218 memory: 17006 grad_norm: 11.7499 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0948 loss: 1.0948 2022/07/30 18:21:54 - mmengine - INFO - Epoch(train) [180][1040/3757] lr: 7.6152e-07 eta: 0:18:50 time: 0.4213 data_time: 0.0184 memory: 17006 grad_norm: 12.1245 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2008 loss: 1.2008 2022/07/30 18:22:02 - mmengine - INFO - Epoch(train) [180][1060/3757] lr: 7.6152e-07 eta: 0:18:41 time: 0.4079 data_time: 0.0218 memory: 17006 grad_norm: 12.8418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0170 loss: 1.0170 2022/07/30 18:22:10 - mmengine - INFO - Epoch(train) [180][1080/3757] lr: 7.6152e-07 eta: 0:18:33 time: 0.4060 data_time: 0.0183 memory: 17006 grad_norm: 13.0191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0898 loss: 1.0898 2022/07/30 18:22:19 - mmengine - INFO - Epoch(train) [180][1100/3757] lr: 7.6152e-07 eta: 0:18:25 time: 0.4285 data_time: 0.0213 memory: 17006 grad_norm: 11.9295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9669 loss: 0.9669 2022/07/30 18:22:27 - mmengine - INFO - Epoch(train) [180][1120/3757] lr: 7.6152e-07 eta: 0:18:16 time: 0.4035 data_time: 0.0183 memory: 17006 grad_norm: 12.8058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/07/30 18:22:35 - mmengine - INFO - Epoch(train) [180][1140/3757] lr: 7.6152e-07 eta: 0:18:08 time: 0.4182 data_time: 0.0223 memory: 17006 grad_norm: 11.7651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0611 loss: 1.0611 2022/07/30 18:22:44 - mmengine - INFO - Epoch(train) [180][1160/3757] lr: 7.6152e-07 eta: 0:18:00 time: 0.4184 data_time: 0.0200 memory: 17006 grad_norm: 11.8421 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9618 loss: 0.9618 2022/07/30 18:22:52 - mmengine - INFO - Epoch(train) [180][1180/3757] lr: 7.6152e-07 eta: 0:17:51 time: 0.4136 data_time: 0.0228 memory: 17006 grad_norm: 12.3237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/07/30 18:23:00 - mmengine - INFO - Epoch(train) [180][1200/3757] lr: 7.6152e-07 eta: 0:17:43 time: 0.4061 data_time: 0.0180 memory: 17006 grad_norm: 12.9543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1156 loss: 1.1156 2022/07/30 18:23:08 - mmengine - INFO - Epoch(train) [180][1220/3757] lr: 7.6152e-07 eta: 0:17:35 time: 0.4102 data_time: 0.0216 memory: 17006 grad_norm: 11.8563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0682 loss: 1.0682 2022/07/30 18:23:17 - mmengine - INFO - Epoch(train) [180][1240/3757] lr: 7.6152e-07 eta: 0:17:26 time: 0.4237 data_time: 0.0201 memory: 17006 grad_norm: 12.2487 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1989 loss: 1.1989 2022/07/30 18:23:25 - mmengine - INFO - Epoch(train) [180][1260/3757] lr: 7.6152e-07 eta: 0:17:18 time: 0.4129 data_time: 0.0209 memory: 17006 grad_norm: 12.1460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2811 loss: 1.2811 2022/07/30 18:23:34 - mmengine - INFO - Epoch(train) [180][1280/3757] lr: 7.6152e-07 eta: 0:17:10 time: 0.4119 data_time: 0.0193 memory: 17006 grad_norm: 12.3014 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8724 loss: 0.8724 2022/07/30 18:23:42 - mmengine - INFO - Epoch(train) [180][1300/3757] lr: 7.6152e-07 eta: 0:17:01 time: 0.4141 data_time: 0.0217 memory: 17006 grad_norm: 12.3498 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3269 loss: 1.3269 2022/07/30 18:23:50 - mmengine - INFO - Epoch(train) [180][1320/3757] lr: 7.6152e-07 eta: 0:16:53 time: 0.4074 data_time: 0.0202 memory: 17006 grad_norm: 13.0193 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8891 loss: 0.8891 2022/07/30 18:23:58 - mmengine - INFO - Epoch(train) [180][1340/3757] lr: 7.6152e-07 eta: 0:16:45 time: 0.4151 data_time: 0.0224 memory: 17006 grad_norm: 11.7858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0307 loss: 1.0307 2022/07/30 18:24:07 - mmengine - INFO - Epoch(train) [180][1360/3757] lr: 7.6152e-07 eta: 0:16:36 time: 0.4176 data_time: 0.0191 memory: 17006 grad_norm: 12.4325 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2639 loss: 1.2639 2022/07/30 18:24:15 - mmengine - INFO - Epoch(train) [180][1380/3757] lr: 7.6152e-07 eta: 0:16:28 time: 0.4131 data_time: 0.0220 memory: 17006 grad_norm: 11.9299 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9771 loss: 0.9771 2022/07/30 18:24:24 - mmengine - INFO - Epoch(train) [180][1400/3757] lr: 7.6152e-07 eta: 0:16:20 time: 0.4211 data_time: 0.0192 memory: 17006 grad_norm: 12.3314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8996 loss: 0.8996 2022/07/30 18:24:32 - mmengine - INFO - Epoch(train) [180][1420/3757] lr: 7.6152e-07 eta: 0:16:11 time: 0.4239 data_time: 0.0257 memory: 17006 grad_norm: 12.3145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2172 loss: 1.2172 2022/07/30 18:24:40 - mmengine - INFO - Epoch(train) [180][1440/3757] lr: 7.6152e-07 eta: 0:16:03 time: 0.4040 data_time: 0.0180 memory: 17006 grad_norm: 12.9925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1505 loss: 1.1505 2022/07/30 18:24:49 - mmengine - INFO - Epoch(train) [180][1460/3757] lr: 7.6152e-07 eta: 0:15:55 time: 0.4233 data_time: 0.0217 memory: 17006 grad_norm: 12.1944 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0351 loss: 1.0351 2022/07/30 18:24:57 - mmengine - INFO - Epoch(train) [180][1480/3757] lr: 7.6152e-07 eta: 0:15:47 time: 0.4363 data_time: 0.0210 memory: 17006 grad_norm: 11.9453 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8317 loss: 0.8317 2022/07/30 18:25:04 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 18:25:06 - mmengine - INFO - Epoch(train) [180][1500/3757] lr: 7.6152e-07 eta: 0:15:38 time: 0.4110 data_time: 0.0233 memory: 17006 grad_norm: 12.7370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0783 loss: 1.0783 2022/07/30 18:25:14 - mmengine - INFO - Epoch(train) [180][1520/3757] lr: 7.6152e-07 eta: 0:15:30 time: 0.4364 data_time: 0.0188 memory: 17006 grad_norm: 12.2728 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0113 loss: 1.0113 2022/07/30 18:25:23 - mmengine - INFO - Epoch(train) [180][1540/3757] lr: 7.6152e-07 eta: 0:15:22 time: 0.4087 data_time: 0.0213 memory: 17006 grad_norm: 12.2300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/07/30 18:25:31 - mmengine - INFO - Epoch(train) [180][1560/3757] lr: 7.6152e-07 eta: 0:15:13 time: 0.4054 data_time: 0.0187 memory: 17006 grad_norm: 12.4694 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0700 loss: 1.0700 2022/07/30 18:25:40 - mmengine - INFO - Epoch(train) [180][1580/3757] lr: 7.6152e-07 eta: 0:15:05 time: 0.4708 data_time: 0.0221 memory: 17006 grad_norm: 12.2478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0968 loss: 1.0968 2022/07/30 18:25:48 - mmengine - INFO - Epoch(train) [180][1600/3757] lr: 7.6152e-07 eta: 0:14:57 time: 0.4127 data_time: 0.0207 memory: 17006 grad_norm: 11.9978 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/07/30 18:25:57 - mmengine - INFO - Epoch(train) [180][1620/3757] lr: 7.6152e-07 eta: 0:14:48 time: 0.4209 data_time: 0.0223 memory: 17006 grad_norm: 12.0668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1053 loss: 1.1053 2022/07/30 18:26:07 - mmengine - INFO - Epoch(train) [180][1640/3757] lr: 7.6152e-07 eta: 0:14:40 time: 0.4839 data_time: 0.0209 memory: 17006 grad_norm: 12.9111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2798 loss: 1.2798 2022/07/30 18:26:15 - mmengine - INFO - Epoch(train) [180][1660/3757] lr: 7.6152e-07 eta: 0:14:32 time: 0.4134 data_time: 0.0216 memory: 17006 grad_norm: 12.1139 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3616 loss: 1.3616 2022/07/30 18:26:23 - mmengine - INFO - Epoch(train) [180][1680/3757] lr: 7.6152e-07 eta: 0:14:23 time: 0.4211 data_time: 0.0198 memory: 17006 grad_norm: 12.1986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0122 loss: 1.0122 2022/07/30 18:26:32 - mmengine - INFO - Epoch(train) [180][1700/3757] lr: 7.6152e-07 eta: 0:14:15 time: 0.4108 data_time: 0.0208 memory: 17006 grad_norm: 12.3490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1936 loss: 1.1936 2022/07/30 18:26:40 - mmengine - INFO - Epoch(train) [180][1720/3757] lr: 7.6152e-07 eta: 0:14:07 time: 0.4098 data_time: 0.0188 memory: 17006 grad_norm: 12.2351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2467 loss: 1.2467 2022/07/30 18:26:48 - mmengine - INFO - Epoch(train) [180][1740/3757] lr: 7.6152e-07 eta: 0:13:58 time: 0.4176 data_time: 0.0220 memory: 17006 grad_norm: 12.3606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9651 loss: 0.9651 2022/07/30 18:26:57 - mmengine - INFO - Epoch(train) [180][1760/3757] lr: 7.6152e-07 eta: 0:13:50 time: 0.4202 data_time: 0.0220 memory: 17006 grad_norm: 12.1201 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0893 loss: 1.0893 2022/07/30 18:27:05 - mmengine - INFO - Epoch(train) [180][1780/3757] lr: 7.6152e-07 eta: 0:13:42 time: 0.4093 data_time: 0.0228 memory: 17006 grad_norm: 11.6081 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9110 loss: 0.9110 2022/07/30 18:27:13 - mmengine - INFO - Epoch(train) [180][1800/3757] lr: 7.6152e-07 eta: 0:13:33 time: 0.4141 data_time: 0.0187 memory: 17006 grad_norm: 12.4340 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2239 loss: 1.2239 2022/07/30 18:27:21 - mmengine - INFO - Epoch(train) [180][1820/3757] lr: 7.6152e-07 eta: 0:13:25 time: 0.4070 data_time: 0.0214 memory: 17006 grad_norm: 12.9773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1393 loss: 1.1393 2022/07/30 18:27:30 - mmengine - INFO - Epoch(train) [180][1840/3757] lr: 7.6152e-07 eta: 0:13:17 time: 0.4101 data_time: 0.0193 memory: 17006 grad_norm: 12.4210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2707 loss: 1.2707 2022/07/30 18:27:38 - mmengine - INFO - Epoch(train) [180][1860/3757] lr: 7.6152e-07 eta: 0:13:08 time: 0.4154 data_time: 0.0220 memory: 17006 grad_norm: 11.9377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0305 loss: 1.0305 2022/07/30 18:27:46 - mmengine - INFO - Epoch(train) [180][1880/3757] lr: 7.6152e-07 eta: 0:13:00 time: 0.4187 data_time: 0.0185 memory: 17006 grad_norm: 12.9113 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2332 loss: 1.2332 2022/07/30 18:27:55 - mmengine - INFO - Epoch(train) [180][1900/3757] lr: 7.6152e-07 eta: 0:12:52 time: 0.4151 data_time: 0.0235 memory: 17006 grad_norm: 12.3195 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7936 loss: 0.7936 2022/07/30 18:28:03 - mmengine - INFO - Epoch(train) [180][1920/3757] lr: 7.6152e-07 eta: 0:12:44 time: 0.4105 data_time: 0.0200 memory: 17006 grad_norm: 12.1115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/07/30 18:28:12 - mmengine - INFO - Epoch(train) [180][1940/3757] lr: 7.6152e-07 eta: 0:12:35 time: 0.4603 data_time: 0.0209 memory: 17006 grad_norm: 12.7346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0768 loss: 1.0768 2022/07/30 18:28:20 - mmengine - INFO - Epoch(train) [180][1960/3757] lr: 7.6152e-07 eta: 0:12:27 time: 0.4059 data_time: 0.0186 memory: 17006 grad_norm: 11.9363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1066 loss: 1.1066 2022/07/30 18:28:29 - mmengine - INFO - Epoch(train) [180][1980/3757] lr: 7.6152e-07 eta: 0:12:19 time: 0.4087 data_time: 0.0214 memory: 17006 grad_norm: 12.0869 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2376 loss: 1.2376 2022/07/30 18:28:37 - mmengine - INFO - Epoch(train) [180][2000/3757] lr: 7.6152e-07 eta: 0:12:10 time: 0.4206 data_time: 0.0191 memory: 17006 grad_norm: 12.1349 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9039 loss: 0.9039 2022/07/30 18:28:45 - mmengine - INFO - Epoch(train) [180][2020/3757] lr: 7.6152e-07 eta: 0:12:02 time: 0.4096 data_time: 0.0221 memory: 17006 grad_norm: 12.0323 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9017 loss: 0.9017 2022/07/30 18:28:54 - mmengine - INFO - Epoch(train) [180][2040/3757] lr: 7.6152e-07 eta: 0:11:54 time: 0.4377 data_time: 0.0207 memory: 17006 grad_norm: 12.4735 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0422 loss: 1.0422 2022/07/30 18:29:04 - mmengine - INFO - Epoch(train) [180][2060/3757] lr: 7.6152e-07 eta: 0:11:45 time: 0.4739 data_time: 0.0207 memory: 17006 grad_norm: 12.0003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0286 loss: 1.0286 2022/07/30 18:29:12 - mmengine - INFO - Epoch(train) [180][2080/3757] lr: 7.6152e-07 eta: 0:11:37 time: 0.4054 data_time: 0.0180 memory: 17006 grad_norm: 12.5158 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1851 loss: 1.1851 2022/07/30 18:29:21 - mmengine - INFO - Epoch(train) [180][2100/3757] lr: 7.6152e-07 eta: 0:11:29 time: 0.4805 data_time: 0.0839 memory: 17006 grad_norm: 12.1297 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0126 loss: 1.0126 2022/07/30 18:29:29 - mmengine - INFO - Epoch(train) [180][2120/3757] lr: 7.6152e-07 eta: 0:11:20 time: 0.4061 data_time: 0.0168 memory: 17006 grad_norm: 12.0118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9451 loss: 0.9451 2022/07/30 18:29:38 - mmengine - INFO - Epoch(train) [180][2140/3757] lr: 7.6152e-07 eta: 0:11:12 time: 0.4153 data_time: 0.0213 memory: 17006 grad_norm: 12.3638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1151 loss: 1.1151 2022/07/30 18:29:47 - mmengine - INFO - Epoch(train) [180][2160/3757] lr: 7.6152e-07 eta: 0:11:04 time: 0.4723 data_time: 0.0194 memory: 17006 grad_norm: 12.2641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9351 loss: 0.9351 2022/07/30 18:29:57 - mmengine - INFO - Epoch(train) [180][2180/3757] lr: 7.6152e-07 eta: 0:10:55 time: 0.4893 data_time: 0.0210 memory: 17006 grad_norm: 12.0826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2609 loss: 1.2609 2022/07/30 18:30:05 - mmengine - INFO - Epoch(train) [180][2200/3757] lr: 7.6152e-07 eta: 0:10:47 time: 0.4077 data_time: 0.0192 memory: 17006 grad_norm: 12.6664 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2406 loss: 1.2406 2022/07/30 18:30:14 - mmengine - INFO - Epoch(train) [180][2220/3757] lr: 7.6152e-07 eta: 0:10:39 time: 0.4143 data_time: 0.0265 memory: 17006 grad_norm: 12.5591 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2345 loss: 1.2345 2022/07/30 18:30:22 - mmengine - INFO - Epoch(train) [180][2240/3757] lr: 7.6152e-07 eta: 0:10:30 time: 0.4054 data_time: 0.0187 memory: 17006 grad_norm: 11.9560 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8887 loss: 0.8887 2022/07/30 18:30:31 - mmengine - INFO - Epoch(train) [180][2260/3757] lr: 7.6152e-07 eta: 0:10:22 time: 0.4847 data_time: 0.0208 memory: 17006 grad_norm: 13.0023 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1511 loss: 1.1511 2022/07/30 18:30:40 - mmengine - INFO - Epoch(train) [180][2280/3757] lr: 7.6152e-07 eta: 0:10:14 time: 0.4274 data_time: 0.0194 memory: 17006 grad_norm: 11.8693 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2927 loss: 1.2927 2022/07/30 18:30:48 - mmengine - INFO - Epoch(train) [180][2300/3757] lr: 7.6152e-07 eta: 0:10:06 time: 0.4112 data_time: 0.0196 memory: 17006 grad_norm: 12.0234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5438 loss: 1.5438 2022/07/30 18:30:57 - mmengine - INFO - Epoch(train) [180][2320/3757] lr: 7.6152e-07 eta: 0:09:57 time: 0.4132 data_time: 0.0195 memory: 17006 grad_norm: 12.1594 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0679 loss: 1.0679 2022/07/30 18:31:05 - mmengine - INFO - Epoch(train) [180][2340/3757] lr: 7.6152e-07 eta: 0:09:49 time: 0.4076 data_time: 0.0222 memory: 17006 grad_norm: 12.5677 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1443 loss: 1.1443 2022/07/30 18:31:13 - mmengine - INFO - Epoch(train) [180][2360/3757] lr: 7.6152e-07 eta: 0:09:41 time: 0.4099 data_time: 0.0198 memory: 17006 grad_norm: 12.3087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3288 loss: 1.3288 2022/07/30 18:31:21 - mmengine - INFO - Epoch(train) [180][2380/3757] lr: 7.6152e-07 eta: 0:09:32 time: 0.4089 data_time: 0.0224 memory: 17006 grad_norm: 12.2824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0305 loss: 1.0305 2022/07/30 18:31:30 - mmengine - INFO - Epoch(train) [180][2400/3757] lr: 7.6152e-07 eta: 0:09:24 time: 0.4112 data_time: 0.0205 memory: 17006 grad_norm: 12.5902 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2045 loss: 1.2045 2022/07/30 18:31:38 - mmengine - INFO - Epoch(train) [180][2420/3757] lr: 7.6152e-07 eta: 0:09:16 time: 0.4163 data_time: 0.0255 memory: 17006 grad_norm: 12.6075 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0655 loss: 1.0655 2022/07/30 18:31:46 - mmengine - INFO - Epoch(train) [180][2440/3757] lr: 7.6152e-07 eta: 0:09:07 time: 0.4088 data_time: 0.0192 memory: 17006 grad_norm: 12.7205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0857 loss: 1.0857 2022/07/30 18:31:54 - mmengine - INFO - Epoch(train) [180][2460/3757] lr: 7.6152e-07 eta: 0:08:59 time: 0.4113 data_time: 0.0226 memory: 17006 grad_norm: 12.4812 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9456 loss: 0.9456 2022/07/30 18:32:03 - mmengine - INFO - Epoch(train) [180][2480/3757] lr: 7.6152e-07 eta: 0:08:51 time: 0.4077 data_time: 0.0207 memory: 17006 grad_norm: 11.7684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/07/30 18:32:10 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 18:32:11 - mmengine - INFO - Epoch(train) [180][2500/3757] lr: 7.6152e-07 eta: 0:08:42 time: 0.4089 data_time: 0.0220 memory: 17006 grad_norm: 12.2993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/07/30 18:32:20 - mmengine - INFO - Epoch(train) [180][2520/3757] lr: 7.6152e-07 eta: 0:08:34 time: 0.4437 data_time: 0.0199 memory: 17006 grad_norm: 11.8896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/07/30 18:32:28 - mmengine - INFO - Epoch(train) [180][2540/3757] lr: 7.6152e-07 eta: 0:08:26 time: 0.4108 data_time: 0.0225 memory: 17006 grad_norm: 11.9577 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1229 loss: 1.1229 2022/07/30 18:32:37 - mmengine - INFO - Epoch(train) [180][2560/3757] lr: 7.6152e-07 eta: 0:08:17 time: 0.4392 data_time: 0.0198 memory: 17006 grad_norm: 13.0152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3508 loss: 1.3508 2022/07/30 18:32:45 - mmengine - INFO - Epoch(train) [180][2580/3757] lr: 7.6152e-07 eta: 0:08:09 time: 0.4093 data_time: 0.0217 memory: 17006 grad_norm: 12.6256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2030 loss: 1.2030 2022/07/30 18:32:54 - mmengine - INFO - Epoch(train) [180][2600/3757] lr: 7.6152e-07 eta: 0:08:01 time: 0.4392 data_time: 0.0200 memory: 17006 grad_norm: 11.9095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1416 loss: 1.1416 2022/07/30 18:33:02 - mmengine - INFO - Epoch(train) [180][2620/3757] lr: 7.6152e-07 eta: 0:07:52 time: 0.4067 data_time: 0.0212 memory: 17006 grad_norm: 12.4601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1233 loss: 1.1233 2022/07/30 18:33:10 - mmengine - INFO - Epoch(train) [180][2640/3757] lr: 7.6152e-07 eta: 0:07:44 time: 0.4072 data_time: 0.0191 memory: 17006 grad_norm: 12.4244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9948 loss: 0.9948 2022/07/30 18:33:19 - mmengine - INFO - Epoch(train) [180][2660/3757] lr: 7.6152e-07 eta: 0:07:36 time: 0.4283 data_time: 0.0255 memory: 17006 grad_norm: 12.0552 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0892 loss: 1.0892 2022/07/30 18:33:27 - mmengine - INFO - Epoch(train) [180][2680/3757] lr: 7.6152e-07 eta: 0:07:27 time: 0.4080 data_time: 0.0197 memory: 17006 grad_norm: 11.9718 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0598 loss: 1.0598 2022/07/30 18:33:35 - mmengine - INFO - Epoch(train) [180][2700/3757] lr: 7.6152e-07 eta: 0:07:19 time: 0.4278 data_time: 0.0212 memory: 17006 grad_norm: 11.8099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9393 loss: 0.9393 2022/07/30 18:33:44 - mmengine - INFO - Epoch(train) [180][2720/3757] lr: 7.6152e-07 eta: 0:07:11 time: 0.4068 data_time: 0.0195 memory: 17006 grad_norm: 12.4578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0846 loss: 1.0846 2022/07/30 18:33:52 - mmengine - INFO - Epoch(train) [180][2740/3757] lr: 7.6152e-07 eta: 0:07:03 time: 0.4084 data_time: 0.0222 memory: 17006 grad_norm: 12.3271 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0044 loss: 1.0044 2022/07/30 18:34:01 - mmengine - INFO - Epoch(train) [180][2760/3757] lr: 7.6152e-07 eta: 0:06:54 time: 0.4393 data_time: 0.0193 memory: 17006 grad_norm: 12.3660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0028 loss: 1.0028 2022/07/30 18:34:09 - mmengine - INFO - Epoch(train) [180][2780/3757] lr: 7.6152e-07 eta: 0:06:46 time: 0.4093 data_time: 0.0213 memory: 17006 grad_norm: 12.4808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0566 loss: 1.0566 2022/07/30 18:34:17 - mmengine - INFO - Epoch(train) [180][2800/3757] lr: 7.6152e-07 eta: 0:06:38 time: 0.4147 data_time: 0.0197 memory: 17006 grad_norm: 11.4375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0914 loss: 1.0914 2022/07/30 18:34:25 - mmengine - INFO - Epoch(train) [180][2820/3757] lr: 7.6152e-07 eta: 0:06:29 time: 0.4110 data_time: 0.0221 memory: 17006 grad_norm: 12.4536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0154 loss: 1.0154 2022/07/30 18:34:34 - mmengine - INFO - Epoch(train) [180][2840/3757] lr: 7.6152e-07 eta: 0:06:21 time: 0.4236 data_time: 0.0205 memory: 17006 grad_norm: 12.6252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9097 loss: 0.9097 2022/07/30 18:34:42 - mmengine - INFO - Epoch(train) [180][2860/3757] lr: 7.6152e-07 eta: 0:06:13 time: 0.4089 data_time: 0.0228 memory: 17006 grad_norm: 11.8698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/07/30 18:34:50 - mmengine - INFO - Epoch(train) [180][2880/3757] lr: 7.6152e-07 eta: 0:06:04 time: 0.4107 data_time: 0.0205 memory: 17006 grad_norm: 12.1869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9826 loss: 0.9826 2022/07/30 18:34:59 - mmengine - INFO - Epoch(train) [180][2900/3757] lr: 7.6152e-07 eta: 0:05:56 time: 0.4221 data_time: 0.0240 memory: 17006 grad_norm: 12.5317 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9835 loss: 0.9835 2022/07/30 18:35:07 - mmengine - INFO - Epoch(train) [180][2920/3757] lr: 7.6152e-07 eta: 0:05:48 time: 0.4152 data_time: 0.0202 memory: 17006 grad_norm: 12.4517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0395 loss: 1.0395 2022/07/30 18:35:16 - mmengine - INFO - Epoch(train) [180][2940/3757] lr: 7.6152e-07 eta: 0:05:39 time: 0.4145 data_time: 0.0232 memory: 17006 grad_norm: 12.2235 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0658 loss: 1.0658 2022/07/30 18:35:24 - mmengine - INFO - Epoch(train) [180][2960/3757] lr: 7.6152e-07 eta: 0:05:31 time: 0.4086 data_time: 0.0206 memory: 17006 grad_norm: 12.0058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0412 loss: 1.0412 2022/07/30 18:35:32 - mmengine - INFO - Epoch(train) [180][2980/3757] lr: 7.6152e-07 eta: 0:05:23 time: 0.4094 data_time: 0.0230 memory: 17006 grad_norm: 12.3137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2145 loss: 1.2145 2022/07/30 18:35:40 - mmengine - INFO - Epoch(train) [180][3000/3757] lr: 7.6152e-07 eta: 0:05:14 time: 0.4145 data_time: 0.0210 memory: 17006 grad_norm: 12.5439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1756 loss: 1.1756 2022/07/30 18:35:49 - mmengine - INFO - Epoch(train) [180][3020/3757] lr: 7.6152e-07 eta: 0:05:06 time: 0.4086 data_time: 0.0217 memory: 17006 grad_norm: 11.9116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1553 loss: 1.1553 2022/07/30 18:35:57 - mmengine - INFO - Epoch(train) [180][3040/3757] lr: 7.6152e-07 eta: 0:04:58 time: 0.4313 data_time: 0.0213 memory: 17006 grad_norm: 12.4920 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0968 loss: 1.0968 2022/07/30 18:36:05 - mmengine - INFO - Epoch(train) [180][3060/3757] lr: 7.6152e-07 eta: 0:04:49 time: 0.4094 data_time: 0.0220 memory: 17006 grad_norm: 11.7736 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9727 loss: 0.9727 2022/07/30 18:36:14 - mmengine - INFO - Epoch(train) [180][3080/3757] lr: 7.6152e-07 eta: 0:04:41 time: 0.4365 data_time: 0.0207 memory: 17006 grad_norm: 12.0155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0160 loss: 1.0160 2022/07/30 18:36:22 - mmengine - INFO - Epoch(train) [180][3100/3757] lr: 7.6152e-07 eta: 0:04:33 time: 0.4075 data_time: 0.0211 memory: 17006 grad_norm: 12.2457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0795 loss: 1.0795 2022/07/30 18:36:31 - mmengine - INFO - Epoch(train) [180][3120/3757] lr: 7.6152e-07 eta: 0:04:24 time: 0.4071 data_time: 0.0183 memory: 17006 grad_norm: 11.8905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0335 loss: 1.0335 2022/07/30 18:36:39 - mmengine - INFO - Epoch(train) [180][3140/3757] lr: 7.6152e-07 eta: 0:04:16 time: 0.4158 data_time: 0.0232 memory: 17006 grad_norm: 12.0829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9781 loss: 0.9781 2022/07/30 18:36:47 - mmengine - INFO - Epoch(train) [180][3160/3757] lr: 7.6152e-07 eta: 0:04:08 time: 0.4286 data_time: 0.0231 memory: 17006 grad_norm: 12.1465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2356 loss: 1.2356 2022/07/30 18:36:56 - mmengine - INFO - Epoch(train) [180][3180/3757] lr: 7.6152e-07 eta: 0:03:59 time: 0.4081 data_time: 0.0218 memory: 17006 grad_norm: 12.3111 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2352 loss: 1.2352 2022/07/30 18:37:04 - mmengine - INFO - Epoch(train) [180][3200/3757] lr: 7.6152e-07 eta: 0:03:51 time: 0.4352 data_time: 0.0199 memory: 17006 grad_norm: 12.4728 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0124 loss: 1.0124 2022/07/30 18:37:13 - mmengine - INFO - Epoch(train) [180][3220/3757] lr: 7.6152e-07 eta: 0:03:43 time: 0.4086 data_time: 0.0220 memory: 17006 grad_norm: 11.7672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2134 loss: 1.2134 2022/07/30 18:37:21 - mmengine - INFO - Epoch(train) [180][3240/3757] lr: 7.6152e-07 eta: 0:03:35 time: 0.4095 data_time: 0.0219 memory: 17006 grad_norm: 12.3992 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4058 loss: 1.4058 2022/07/30 18:37:30 - mmengine - INFO - Epoch(train) [180][3260/3757] lr: 7.6152e-07 eta: 0:03:26 time: 0.4535 data_time: 0.0222 memory: 17006 grad_norm: 11.7319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9477 loss: 0.9477 2022/07/30 18:37:38 - mmengine - INFO - Epoch(train) [180][3280/3757] lr: 7.6152e-07 eta: 0:03:18 time: 0.4100 data_time: 0.0191 memory: 17006 grad_norm: 12.6875 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1945 loss: 1.1945 2022/07/30 18:37:47 - mmengine - INFO - Epoch(train) [180][3300/3757] lr: 7.6152e-07 eta: 0:03:10 time: 0.4194 data_time: 0.0223 memory: 17006 grad_norm: 11.7415 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2372 loss: 1.2372 2022/07/30 18:37:55 - mmengine - INFO - Epoch(train) [180][3320/3757] lr: 7.6152e-07 eta: 0:03:01 time: 0.4078 data_time: 0.0179 memory: 17006 grad_norm: 11.5387 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9301 loss: 0.9301 2022/07/30 18:38:04 - mmengine - INFO - Epoch(train) [180][3340/3757] lr: 7.6152e-07 eta: 0:02:53 time: 0.4393 data_time: 0.0213 memory: 17006 grad_norm: 12.5637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/07/30 18:38:12 - mmengine - INFO - Epoch(train) [180][3360/3757] lr: 7.6152e-07 eta: 0:02:45 time: 0.4062 data_time: 0.0189 memory: 17006 grad_norm: 12.1672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1266 loss: 1.1266 2022/07/30 18:38:20 - mmengine - INFO - Epoch(train) [180][3380/3757] lr: 7.6152e-07 eta: 0:02:36 time: 0.4106 data_time: 0.0221 memory: 17006 grad_norm: 12.4793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1916 loss: 1.1916 2022/07/30 18:38:28 - mmengine - INFO - Epoch(train) [180][3400/3757] lr: 7.6152e-07 eta: 0:02:28 time: 0.4120 data_time: 0.0180 memory: 17006 grad_norm: 12.8734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2457 loss: 1.2457 2022/07/30 18:38:37 - mmengine - INFO - Epoch(train) [180][3420/3757] lr: 7.6152e-07 eta: 0:02:20 time: 0.4103 data_time: 0.0212 memory: 17006 grad_norm: 12.5541 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1194 loss: 1.1194 2022/07/30 18:38:45 - mmengine - INFO - Epoch(train) [180][3440/3757] lr: 7.6152e-07 eta: 0:02:11 time: 0.4155 data_time: 0.0194 memory: 17006 grad_norm: 12.0998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8718 loss: 0.8718 2022/07/30 18:38:53 - mmengine - INFO - Epoch(train) [180][3460/3757] lr: 7.6152e-07 eta: 0:02:03 time: 0.4083 data_time: 0.0215 memory: 17006 grad_norm: 11.8595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1248 loss: 1.1248 2022/07/30 18:39:01 - mmengine - INFO - Epoch(train) [180][3480/3757] lr: 7.6152e-07 eta: 0:01:55 time: 0.4061 data_time: 0.0180 memory: 17006 grad_norm: 12.0507 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1569 loss: 1.1569 2022/07/30 18:39:08 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 18:39:10 - mmengine - INFO - Epoch(train) [180][3500/3757] lr: 7.6152e-07 eta: 0:01:46 time: 0.4240 data_time: 0.0215 memory: 17006 grad_norm: 12.5157 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4100 loss: 1.4100 2022/07/30 18:39:18 - mmengine - INFO - Epoch(train) [180][3520/3757] lr: 7.6152e-07 eta: 0:01:38 time: 0.4084 data_time: 0.0192 memory: 17006 grad_norm: 12.0654 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0884 loss: 1.0884 2022/07/30 18:39:26 - mmengine - INFO - Epoch(train) [180][3540/3757] lr: 7.6152e-07 eta: 0:01:30 time: 0.4175 data_time: 0.0224 memory: 17006 grad_norm: 12.0981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9860 loss: 0.9860 2022/07/30 18:39:35 - mmengine - INFO - Epoch(train) [180][3560/3757] lr: 7.6152e-07 eta: 0:01:21 time: 0.4086 data_time: 0.0191 memory: 17006 grad_norm: 12.5138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0203 loss: 1.0203 2022/07/30 18:39:43 - mmengine - INFO - Epoch(train) [180][3580/3757] lr: 7.6152e-07 eta: 0:01:13 time: 0.4078 data_time: 0.0214 memory: 17006 grad_norm: 11.9908 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1595 loss: 1.1595 2022/07/30 18:39:51 - mmengine - INFO - Epoch(train) [180][3600/3757] lr: 7.6152e-07 eta: 0:01:05 time: 0.4239 data_time: 0.0206 memory: 17006 grad_norm: 12.6704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1214 loss: 1.1214 2022/07/30 18:40:00 - mmengine - INFO - Epoch(train) [180][3620/3757] lr: 7.6152e-07 eta: 0:00:56 time: 0.4188 data_time: 0.0223 memory: 17006 grad_norm: 12.2086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0241 loss: 1.0241 2022/07/30 18:40:08 - mmengine - INFO - Epoch(train) [180][3640/3757] lr: 7.6152e-07 eta: 0:00:48 time: 0.4176 data_time: 0.0184 memory: 17006 grad_norm: 12.1051 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0147 loss: 1.0147 2022/07/30 18:40:16 - mmengine - INFO - Epoch(train) [180][3660/3757] lr: 7.6152e-07 eta: 0:00:40 time: 0.4091 data_time: 0.0219 memory: 17006 grad_norm: 11.2214 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9844 loss: 0.9844 2022/07/30 18:40:25 - mmengine - INFO - Epoch(train) [180][3680/3757] lr: 7.6152e-07 eta: 0:00:32 time: 0.4453 data_time: 0.0189 memory: 17006 grad_norm: 12.7659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3370 loss: 1.3370 2022/07/30 18:40:33 - mmengine - INFO - Epoch(train) [180][3700/3757] lr: 7.6152e-07 eta: 0:00:23 time: 0.4107 data_time: 0.0230 memory: 17006 grad_norm: 12.0168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1305 loss: 1.1305 2022/07/30 18:40:42 - mmengine - INFO - Epoch(train) [180][3720/3757] lr: 7.6152e-07 eta: 0:00:15 time: 0.4057 data_time: 0.0179 memory: 17006 grad_norm: 12.9041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3331 loss: 1.3331 2022/07/30 18:40:50 - mmengine - INFO - Epoch(train) [180][3740/3757] lr: 7.6152e-07 eta: 0:00:07 time: 0.4158 data_time: 0.0215 memory: 17006 grad_norm: 11.8379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9852 loss: 0.9852 2022/07/30 18:40:57 - mmengine - INFO - Exp name: r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb_20220729_142856 2022/07/30 18:40:57 - mmengine - INFO - Epoch(train) [180][3757/3757] lr: 7.6152e-07 eta: 0:00:07 time: 0.4044 data_time: 0.0208 memory: 17006 grad_norm: 12.1519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0511 loss: 1.0511 2022/07/30 18:40:57 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/07/30 18:41:09 - mmengine - INFO - Epoch(val) [180][20/310] eta: 0:01:26 time: 0.2983 data_time: 0.1756 memory: 3958 2022/07/30 18:41:13 - mmengine - INFO - Epoch(val) [180][40/310] eta: 0:00:53 time: 0.1994 data_time: 0.0782 memory: 3958 2022/07/30 18:41:17 - mmengine - INFO - Epoch(val) [180][60/310] eta: 0:00:54 time: 0.2191 data_time: 0.0990 memory: 3958 2022/07/30 18:41:21 - mmengine - INFO - Epoch(val) [180][80/310] eta: 0:00:43 time: 0.1879 data_time: 0.0683 memory: 3958 2022/07/30 18:41:25 - mmengine - INFO - Epoch(val) [180][100/310] eta: 0:00:47 time: 0.2282 data_time: 0.1113 memory: 3958 2022/07/30 18:41:29 - mmengine - INFO - Epoch(val) [180][120/310] eta: 0:00:38 time: 0.2048 data_time: 0.0832 memory: 3958 2022/07/30 18:41:34 - mmengine - INFO - Epoch(val) [180][140/310] eta: 0:00:40 time: 0.2390 data_time: 0.1172 memory: 3958 2022/07/30 18:41:39 - mmengine - INFO - Epoch(val) [180][160/310] eta: 0:00:33 time: 0.2215 data_time: 0.1015 memory: 3958 2022/07/30 18:41:43 - mmengine - INFO - Epoch(val) [180][180/310] eta: 0:00:27 time: 0.2103 data_time: 0.0926 memory: 3958 2022/07/30 18:41:47 - mmengine - INFO - Epoch(val) [180][200/310] eta: 0:00:22 time: 0.2034 data_time: 0.0826 memory: 3958 2022/07/30 18:41:51 - mmengine - INFO - Epoch(val) [180][220/310] eta: 0:00:20 time: 0.2271 data_time: 0.1089 memory: 3958 2022/07/30 18:41:55 - mmengine - INFO - Epoch(val) [180][240/310] eta: 0:00:13 time: 0.1874 data_time: 0.0646 memory: 3958 2022/07/30 18:42:00 - mmengine - INFO - Epoch(val) [180][260/310] eta: 0:00:11 time: 0.2278 data_time: 0.1043 memory: 3958 2022/07/30 18:42:04 - mmengine - INFO - Epoch(val) [180][280/310] eta: 0:00:06 time: 0.2007 data_time: 0.0789 memory: 3958 2022/07/30 18:42:07 - mmengine - INFO - Epoch(val) [180][300/310] eta: 0:00:01 time: 0.1396 data_time: 0.0391 memory: 3958 2022/07/30 18:42:09 - mmengine - INFO - Epoch(val) [180][310/310] acc/top1: 0.6791 acc/top5: 0.8747 acc/mean1: 0.6790 2022/07/30 18:42:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/r2plus1d_r34_32x2x1_180e_8xb8_kinetics400_rgb/best_acc/top1_epoch_161.pth is removed 2022/07/30 18:42:14 - mmengine - INFO - The best checkpoint with 0.6791 acc/top1 at 181 epoch is saved to best_acc/top1_epoch_181.pth.